IVOD_ID |
15700 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Full/1M/15700 |
日期 |
2024-03-07 |
會議資料.會議代碼 |
委員會-11-1-26-4 |
會議資料.會議代碼:str |
第11屆第1會期社會福利及衛生環境委員會第4次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
1 |
會議資料.會次 |
4 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
26 |
會議資料.委員會代碼:str[0] |
社會福利及衛生環境委員會 |
會議資料.標題 |
第11屆第1會期社會福利及衛生環境委員會第4次全體委員會議 |
影片種類 |
Full |
開始時間 |
2024-03-07T08:31:26+08:00 |
結束時間 |
2024-03-07T13:13:00+08:00 |
影片長度 |
04:41:34 |
支援功能[0] |
ai-transcript |
video_url |
https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/bfaf9b39ac01a68573b8a2c1b37799c107777c324b69055f3be8d109af184be48831f324297c6f585ea18f28b6918d91.mp4/playlist.m3u8 |
會議時間 |
2024-03-07T09:00:00+08:00 |
會議名稱 |
立法院第11屆第1會期社會福利及衛生環境委員會第4次全體委員會議(事由:邀請衛生福利部部長、中央健康保險署、食品藥物管理署就「健保藥價調整,藥廠停產慢性病用藥之因應作為」進行專題報告,並備質詢。) |
委員名稱 |
完整會議 |
委員發言時間 |
08:31:26 - 13:13:00 |
transcript.pyannote[0].speaker |
SPEAKER_22 |
transcript.pyannote[0].start |
108.35159375 |
transcript.pyannote[0].end |
110.74784375 |
transcript.pyannote[1].speaker |
SPEAKER_22 |
transcript.pyannote[1].start |
650.30909375 |
transcript.pyannote[1].end |
651.25409375 |
transcript.pyannote[2].speaker |
SPEAKER_06 |
transcript.pyannote[2].start |
1716.52221875 |
transcript.pyannote[2].end |
1748.38221875 |
transcript.pyannote[3].speaker |
SPEAKER_06 |
transcript.pyannote[3].start |
1748.43284375 |
transcript.pyannote[3].end |
1764.68346875 |
transcript.pyannote[4].speaker |
SPEAKER_06 |
transcript.pyannote[4].start |
1765.10534375 |
transcript.pyannote[4].end |
1799.41221875 |
transcript.pyannote[5].speaker |
SPEAKER_06 |
transcript.pyannote[5].start |
1799.88471875 |
transcript.pyannote[5].end |
1804.10346875 |
transcript.pyannote[6].speaker |
SPEAKER_06 |
transcript.pyannote[6].start |
1804.99784375 |
transcript.pyannote[6].end |
1822.69971875 |
transcript.pyannote[7].speaker |
SPEAKER_06 |
transcript.pyannote[7].start |
1822.88534375 |
transcript.pyannote[7].end |
1824.21846875 |
transcript.pyannote[8].speaker |
SPEAKER_06 |
transcript.pyannote[8].start |
1824.55596875 |
transcript.pyannote[8].end |
1826.58096875 |
transcript.pyannote[9].speaker |
SPEAKER_06 |
transcript.pyannote[9].start |
1826.81721875 |
transcript.pyannote[9].end |
1829.43284375 |
transcript.pyannote[10].speaker |
SPEAKER_06 |
transcript.pyannote[10].start |
1829.58471875 |
transcript.pyannote[10].end |
1831.05284375 |
transcript.pyannote[11].speaker |
SPEAKER_06 |
transcript.pyannote[11].start |
1832.08221875 |
transcript.pyannote[11].end |
1833.68534375 |
transcript.pyannote[12].speaker |
SPEAKER_06 |
transcript.pyannote[12].start |
1833.95534375 |
transcript.pyannote[12].end |
1837.68471875 |
transcript.pyannote[13].speaker |
SPEAKER_06 |
transcript.pyannote[13].start |
1838.88284375 |
transcript.pyannote[13].end |
1841.80221875 |
transcript.pyannote[14].speaker |
SPEAKER_06 |
transcript.pyannote[14].start |
1842.69659375 |
transcript.pyannote[14].end |
1845.61596875 |
transcript.pyannote[15].speaker |
SPEAKER_06 |
transcript.pyannote[15].start |
1846.71284375 |
transcript.pyannote[15].end |
1851.10034375 |
transcript.pyannote[16].speaker |
SPEAKER_06 |
transcript.pyannote[16].start |
1851.75846875 |
transcript.pyannote[16].end |
1854.03659375 |
transcript.pyannote[17].speaker |
SPEAKER_06 |
transcript.pyannote[17].start |
1855.09971875 |
transcript.pyannote[17].end |
1857.10784375 |
transcript.pyannote[18].speaker |
SPEAKER_06 |
transcript.pyannote[18].start |
1857.68159375 |
transcript.pyannote[18].end |
1861.39409375 |
transcript.pyannote[19].speaker |
SPEAKER_21 |
transcript.pyannote[19].start |
1873.24034375 |
transcript.pyannote[19].end |
1873.27409375 |
transcript.pyannote[20].speaker |
SPEAKER_20 |
transcript.pyannote[20].start |
1873.27409375 |
transcript.pyannote[20].end |
1873.62846875 |
transcript.pyannote[21].speaker |
SPEAKER_21 |
transcript.pyannote[21].start |
1873.62846875 |
transcript.pyannote[21].end |
1873.64534375 |
transcript.pyannote[22].speaker |
SPEAKER_20 |
transcript.pyannote[22].start |
1873.64534375 |
transcript.pyannote[22].end |
1873.88159375 |
transcript.pyannote[23].speaker |
SPEAKER_21 |
transcript.pyannote[23].start |
1873.88159375 |
transcript.pyannote[23].end |
1873.99971875 |
transcript.pyannote[24].speaker |
SPEAKER_20 |
transcript.pyannote[24].start |
1877.61096875 |
transcript.pyannote[24].end |
1879.56846875 |
transcript.pyannote[25].speaker |
SPEAKER_20 |
transcript.pyannote[25].start |
1879.82159375 |
transcript.pyannote[25].end |
1880.04096875 |
transcript.pyannote[26].speaker |
SPEAKER_20 |
transcript.pyannote[26].start |
1880.53034375 |
transcript.pyannote[26].end |
1889.05221875 |
transcript.pyannote[27].speaker |
SPEAKER_20 |
transcript.pyannote[27].start |
1889.11971875 |
transcript.pyannote[27].end |
1889.25471875 |
transcript.pyannote[28].speaker |
SPEAKER_20 |
transcript.pyannote[28].start |
1889.33909375 |
transcript.pyannote[28].end |
1895.81909375 |
transcript.pyannote[29].speaker |
SPEAKER_20 |
transcript.pyannote[29].start |
1896.15659375 |
transcript.pyannote[29].end |
1900.18971875 |
transcript.pyannote[30].speaker |
SPEAKER_20 |
transcript.pyannote[30].start |
1900.59471875 |
transcript.pyannote[30].end |
1917.63846875 |
transcript.pyannote[31].speaker |
SPEAKER_20 |
transcript.pyannote[31].start |
1918.02659375 |
transcript.pyannote[31].end |
1941.44909375 |
transcript.pyannote[32].speaker |
SPEAKER_20 |
transcript.pyannote[32].start |
1941.80346875 |
transcript.pyannote[32].end |
1987.75409375 |
transcript.pyannote[33].speaker |
SPEAKER_20 |
transcript.pyannote[33].start |
1988.41221875 |
transcript.pyannote[33].end |
1989.42471875 |
transcript.pyannote[34].speaker |
SPEAKER_20 |
transcript.pyannote[34].start |
1991.17971875 |
transcript.pyannote[34].end |
2001.30471875 |
transcript.pyannote[35].speaker |
SPEAKER_20 |
transcript.pyannote[35].start |
2001.55784375 |
transcript.pyannote[35].end |
2035.18971875 |
transcript.pyannote[36].speaker |
SPEAKER_12 |
transcript.pyannote[36].start |
2032.20284375 |
transcript.pyannote[36].end |
2032.27034375 |
transcript.pyannote[37].speaker |
SPEAKER_20 |
transcript.pyannote[37].start |
2035.22346875 |
transcript.pyannote[37].end |
2052.23346875 |
transcript.pyannote[38].speaker |
SPEAKER_20 |
transcript.pyannote[38].start |
2054.25846875 |
transcript.pyannote[38].end |
2057.92034375 |
transcript.pyannote[39].speaker |
SPEAKER_20 |
transcript.pyannote[39].start |
2058.46034375 |
transcript.pyannote[39].end |
2086.21971875 |
transcript.pyannote[40].speaker |
SPEAKER_20 |
transcript.pyannote[40].start |
2086.45596875 |
transcript.pyannote[40].end |
2097.86346875 |
transcript.pyannote[41].speaker |
SPEAKER_20 |
transcript.pyannote[41].start |
2100.09096875 |
transcript.pyannote[41].end |
2101.77846875 |
transcript.pyannote[42].speaker |
SPEAKER_20 |
transcript.pyannote[42].start |
2102.03159375 |
transcript.pyannote[42].end |
2128.39034375 |
transcript.pyannote[43].speaker |
SPEAKER_20 |
transcript.pyannote[43].start |
2129.03159375 |
transcript.pyannote[43].end |
2129.97659375 |
transcript.pyannote[44].speaker |
SPEAKER_20 |
transcript.pyannote[44].start |
2130.34784375 |
transcript.pyannote[44].end |
2130.63471875 |
transcript.pyannote[45].speaker |
SPEAKER_20 |
transcript.pyannote[45].start |
2132.64284375 |
transcript.pyannote[45].end |
2133.60471875 |
transcript.pyannote[46].speaker |
SPEAKER_20 |
transcript.pyannote[46].start |
2134.27971875 |
transcript.pyannote[46].end |
2145.21471875 |
transcript.pyannote[47].speaker |
SPEAKER_20 |
transcript.pyannote[47].start |
2146.78409375 |
transcript.pyannote[47].end |
2147.23971875 |
transcript.pyannote[48].speaker |
SPEAKER_20 |
transcript.pyannote[48].start |
2148.01596875 |
transcript.pyannote[48].end |
2167.08471875 |
transcript.pyannote[49].speaker |
SPEAKER_20 |
transcript.pyannote[49].start |
2169.81846875 |
transcript.pyannote[49].end |
2170.27409375 |
transcript.pyannote[50].speaker |
SPEAKER_20 |
transcript.pyannote[50].start |
2170.49346875 |
transcript.pyannote[50].end |
2171.57346875 |
transcript.pyannote[51].speaker |
SPEAKER_20 |
transcript.pyannote[51].start |
2172.23159375 |
transcript.pyannote[51].end |
2175.52221875 |
transcript.pyannote[52].speaker |
SPEAKER_20 |
transcript.pyannote[52].start |
2175.94409375 |
transcript.pyannote[52].end |
2198.35409375 |
transcript.pyannote[53].speaker |
SPEAKER_06 |
transcript.pyannote[53].start |
2198.94471875 |
transcript.pyannote[53].end |
2213.86221875 |
transcript.pyannote[54].speaker |
SPEAKER_06 |
transcript.pyannote[54].start |
2213.89596875 |
transcript.pyannote[54].end |
2215.75221875 |
transcript.pyannote[55].speaker |
SPEAKER_06 |
transcript.pyannote[55].start |
2216.02221875 |
transcript.pyannote[55].end |
2223.12659375 |
transcript.pyannote[56].speaker |
SPEAKER_06 |
transcript.pyannote[56].start |
2223.43034375 |
transcript.pyannote[56].end |
2225.99534375 |
transcript.pyannote[57].speaker |
SPEAKER_06 |
transcript.pyannote[57].start |
2226.14721875 |
transcript.pyannote[57].end |
2229.13409375 |
transcript.pyannote[58].speaker |
SPEAKER_06 |
transcript.pyannote[58].start |
2229.42096875 |
transcript.pyannote[58].end |
2238.63471875 |
transcript.pyannote[59].speaker |
SPEAKER_06 |
transcript.pyannote[59].start |
2241.87471875 |
transcript.pyannote[59].end |
2243.08971875 |
transcript.pyannote[60].speaker |
SPEAKER_06 |
transcript.pyannote[60].start |
2245.85721875 |
transcript.pyannote[60].end |
2247.03846875 |
transcript.pyannote[61].speaker |
SPEAKER_20 |
transcript.pyannote[61].start |
2251.88159375 |
transcript.pyannote[61].end |
2252.33721875 |
transcript.pyannote[62].speaker |
SPEAKER_08 |
transcript.pyannote[62].start |
2253.51846875 |
transcript.pyannote[62].end |
2253.88971875 |
transcript.pyannote[63].speaker |
SPEAKER_08 |
transcript.pyannote[63].start |
2254.26096875 |
transcript.pyannote[63].end |
2255.13846875 |
transcript.pyannote[64].speaker |
SPEAKER_08 |
transcript.pyannote[64].start |
2256.03284375 |
transcript.pyannote[64].end |
2257.85534375 |
transcript.pyannote[65].speaker |
SPEAKER_08 |
transcript.pyannote[65].start |
2258.46284375 |
transcript.pyannote[65].end |
2258.54721875 |
transcript.pyannote[66].speaker |
SPEAKER_20 |
transcript.pyannote[66].start |
2258.54721875 |
transcript.pyannote[66].end |
2258.85096875 |
transcript.pyannote[67].speaker |
SPEAKER_08 |
transcript.pyannote[67].start |
2258.85096875 |
transcript.pyannote[67].end |
2259.61034375 |
transcript.pyannote[68].speaker |
SPEAKER_20 |
transcript.pyannote[68].start |
2258.88471875 |
transcript.pyannote[68].end |
2260.04909375 |
transcript.pyannote[69].speaker |
SPEAKER_08 |
transcript.pyannote[69].start |
2260.50471875 |
transcript.pyannote[69].end |
2261.19659375 |
transcript.pyannote[70].speaker |
SPEAKER_08 |
transcript.pyannote[70].start |
2261.26409375 |
transcript.pyannote[70].end |
2261.28096875 |
transcript.pyannote[71].speaker |
SPEAKER_20 |
transcript.pyannote[71].start |
2261.28096875 |
transcript.pyannote[71].end |
2261.60159375 |
transcript.pyannote[72].speaker |
SPEAKER_08 |
transcript.pyannote[72].start |
2261.34846875 |
transcript.pyannote[72].end |
2264.30159375 |
transcript.pyannote[73].speaker |
SPEAKER_08 |
transcript.pyannote[73].start |
2264.43659375 |
transcript.pyannote[73].end |
2268.01409375 |
transcript.pyannote[74].speaker |
SPEAKER_22 |
transcript.pyannote[74].start |
2268.26721875 |
transcript.pyannote[74].end |
2268.57096875 |
transcript.pyannote[75].speaker |
SPEAKER_22 |
transcript.pyannote[75].start |
2268.58784375 |
transcript.pyannote[75].end |
2268.60471875 |
transcript.pyannote[76].speaker |
SPEAKER_08 |
transcript.pyannote[76].start |
2268.60471875 |
transcript.pyannote[76].end |
2273.83596875 |
transcript.pyannote[77].speaker |
SPEAKER_08 |
transcript.pyannote[77].start |
2274.54471875 |
transcript.pyannote[77].end |
2280.33284375 |
transcript.pyannote[78].speaker |
SPEAKER_08 |
transcript.pyannote[78].start |
2280.85596875 |
transcript.pyannote[78].end |
2280.88971875 |
transcript.pyannote[79].speaker |
SPEAKER_20 |
transcript.pyannote[79].start |
2280.88971875 |
transcript.pyannote[79].end |
2280.97409375 |
transcript.pyannote[80].speaker |
SPEAKER_08 |
transcript.pyannote[80].start |
2280.97409375 |
transcript.pyannote[80].end |
2284.92284375 |
transcript.pyannote[81].speaker |
SPEAKER_20 |
transcript.pyannote[81].start |
2285.41221875 |
transcript.pyannote[81].end |
2289.25971875 |
transcript.pyannote[82].speaker |
SPEAKER_08 |
transcript.pyannote[82].start |
2289.25971875 |
transcript.pyannote[82].end |
2293.78221875 |
transcript.pyannote[83].speaker |
SPEAKER_20 |
transcript.pyannote[83].start |
2292.53346875 |
transcript.pyannote[83].end |
2293.27596875 |
transcript.pyannote[84].speaker |
SPEAKER_08 |
transcript.pyannote[84].start |
2294.92971875 |
transcript.pyannote[84].end |
2296.46534375 |
transcript.pyannote[85].speaker |
SPEAKER_08 |
transcript.pyannote[85].start |
2297.14034375 |
transcript.pyannote[85].end |
2299.18221875 |
transcript.pyannote[86].speaker |
SPEAKER_08 |
transcript.pyannote[86].start |
2299.62096875 |
transcript.pyannote[86].end |
2306.79284375 |
transcript.pyannote[87].speaker |
SPEAKER_08 |
transcript.pyannote[87].start |
2307.34971875 |
transcript.pyannote[87].end |
2308.34534375 |
transcript.pyannote[88].speaker |
SPEAKER_08 |
transcript.pyannote[88].start |
2309.05409375 |
transcript.pyannote[88].end |
2313.61034375 |
transcript.pyannote[89].speaker |
SPEAKER_08 |
transcript.pyannote[89].start |
2314.26846875 |
transcript.pyannote[89].end |
2315.28096875 |
transcript.pyannote[90].speaker |
SPEAKER_08 |
transcript.pyannote[90].start |
2315.77034375 |
transcript.pyannote[90].end |
2317.17096875 |
transcript.pyannote[91].speaker |
SPEAKER_08 |
transcript.pyannote[91].start |
2317.67721875 |
transcript.pyannote[91].end |
2319.93846875 |
transcript.pyannote[92].speaker |
SPEAKER_20 |
transcript.pyannote[92].start |
2318.36909375 |
transcript.pyannote[92].end |
2319.12846875 |
transcript.pyannote[93].speaker |
SPEAKER_08 |
transcript.pyannote[93].start |
2320.25909375 |
transcript.pyannote[93].end |
2322.13221875 |
transcript.pyannote[94].speaker |
SPEAKER_20 |
transcript.pyannote[94].start |
2321.32221875 |
transcript.pyannote[94].end |
2326.45221875 |
transcript.pyannote[95].speaker |
SPEAKER_08 |
transcript.pyannote[95].start |
2322.21659375 |
transcript.pyannote[95].end |
2322.23346875 |
transcript.pyannote[96].speaker |
SPEAKER_08 |
transcript.pyannote[96].start |
2322.43596875 |
transcript.pyannote[96].end |
2322.87471875 |
transcript.pyannote[97].speaker |
SPEAKER_08 |
transcript.pyannote[97].start |
2326.84034375 |
transcript.pyannote[97].end |
2334.36659375 |
transcript.pyannote[98].speaker |
SPEAKER_20 |
transcript.pyannote[98].start |
2328.91596875 |
transcript.pyannote[98].end |
2331.32909375 |
transcript.pyannote[99].speaker |
SPEAKER_20 |
transcript.pyannote[99].start |
2332.35846875 |
transcript.pyannote[99].end |
2336.13846875 |
transcript.pyannote[100].speaker |
SPEAKER_08 |
transcript.pyannote[100].start |
2335.64909375 |
transcript.pyannote[100].end |
2337.69096875 |
transcript.pyannote[101].speaker |
SPEAKER_20 |
transcript.pyannote[101].start |
2338.02846875 |
transcript.pyannote[101].end |
2342.85471875 |
transcript.pyannote[102].speaker |
SPEAKER_08 |
transcript.pyannote[102].start |
2338.04534375 |
transcript.pyannote[102].end |
2339.22659375 |
transcript.pyannote[103].speaker |
SPEAKER_08 |
transcript.pyannote[103].start |
2339.47971875 |
transcript.pyannote[103].end |
2340.44159375 |
transcript.pyannote[104].speaker |
SPEAKER_08 |
transcript.pyannote[104].start |
2341.38659375 |
transcript.pyannote[104].end |
2346.41534375 |
transcript.pyannote[105].speaker |
SPEAKER_08 |
transcript.pyannote[105].start |
2346.78659375 |
transcript.pyannote[105].end |
2349.21659375 |
transcript.pyannote[106].speaker |
SPEAKER_08 |
transcript.pyannote[106].start |
2349.75659375 |
transcript.pyannote[106].end |
2353.89096875 |
transcript.pyannote[107].speaker |
SPEAKER_08 |
transcript.pyannote[107].start |
2354.44784375 |
transcript.pyannote[107].end |
2354.78534375 |
transcript.pyannote[108].speaker |
SPEAKER_08 |
transcript.pyannote[108].start |
2355.10596875 |
transcript.pyannote[108].end |
2355.57846875 |
transcript.pyannote[109].speaker |
SPEAKER_08 |
transcript.pyannote[109].start |
2358.05909375 |
transcript.pyannote[109].end |
2358.44721875 |
transcript.pyannote[110].speaker |
SPEAKER_08 |
transcript.pyannote[110].start |
2358.75096875 |
transcript.pyannote[110].end |
2360.97846875 |
transcript.pyannote[111].speaker |
SPEAKER_20 |
transcript.pyannote[111].start |
2361.90659375 |
transcript.pyannote[111].end |
2362.78409375 |
transcript.pyannote[112].speaker |
SPEAKER_08 |
transcript.pyannote[112].start |
2362.29471875 |
transcript.pyannote[112].end |
2365.07909375 |
transcript.pyannote[113].speaker |
SPEAKER_20 |
transcript.pyannote[113].start |
2363.93159375 |
transcript.pyannote[113].end |
2371.17096875 |
transcript.pyannote[114].speaker |
SPEAKER_08 |
transcript.pyannote[114].start |
2366.17596875 |
transcript.pyannote[114].end |
2367.05346875 |
transcript.pyannote[115].speaker |
SPEAKER_08 |
transcript.pyannote[115].start |
2367.52596875 |
transcript.pyannote[115].end |
2367.64409375 |
transcript.pyannote[116].speaker |
SPEAKER_08 |
transcript.pyannote[116].start |
2371.35659375 |
transcript.pyannote[116].end |
2377.87034375 |
transcript.pyannote[117].speaker |
SPEAKER_20 |
transcript.pyannote[117].start |
2371.91346875 |
transcript.pyannote[117].end |
2372.11596875 |
transcript.pyannote[118].speaker |
SPEAKER_20 |
transcript.pyannote[118].start |
2375.69346875 |
transcript.pyannote[118].end |
2375.96346875 |
transcript.pyannote[119].speaker |
SPEAKER_22 |
transcript.pyannote[119].start |
2375.96346875 |
transcript.pyannote[119].end |
2378.02221875 |
transcript.pyannote[120].speaker |
SPEAKER_08 |
transcript.pyannote[120].start |
2378.24159375 |
transcript.pyannote[120].end |
2396.38221875 |
transcript.pyannote[121].speaker |
SPEAKER_22 |
transcript.pyannote[121].start |
2379.10221875 |
transcript.pyannote[121].end |
2381.61659375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
2382.89909375 |
transcript.pyannote[122].end |
2382.93284375 |
transcript.pyannote[123].speaker |
SPEAKER_22 |
transcript.pyannote[123].start |
2382.93284375 |
transcript.pyannote[123].end |
2384.16471875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
2384.16471875 |
transcript.pyannote[124].end |
2384.18159375 |
transcript.pyannote[125].speaker |
SPEAKER_08 |
transcript.pyannote[125].start |
2396.78721875 |
transcript.pyannote[125].end |
2411.70471875 |
transcript.pyannote[126].speaker |
SPEAKER_27 |
transcript.pyannote[126].start |
2396.92221875 |
transcript.pyannote[126].end |
2399.97659375 |
transcript.pyannote[127].speaker |
SPEAKER_21 |
transcript.pyannote[127].start |
2399.97659375 |
transcript.pyannote[127].end |
2401.30971875 |
transcript.pyannote[128].speaker |
SPEAKER_27 |
transcript.pyannote[128].start |
2401.30971875 |
transcript.pyannote[128].end |
2401.36034375 |
transcript.pyannote[129].speaker |
SPEAKER_21 |
transcript.pyannote[129].start |
2401.36034375 |
transcript.pyannote[129].end |
2401.37721875 |
transcript.pyannote[130].speaker |
SPEAKER_27 |
transcript.pyannote[130].start |
2404.83659375 |
transcript.pyannote[130].end |
2404.85346875 |
transcript.pyannote[131].speaker |
SPEAKER_20 |
transcript.pyannote[131].start |
2404.85346875 |
transcript.pyannote[131].end |
2406.20346875 |
transcript.pyannote[132].speaker |
SPEAKER_20 |
transcript.pyannote[132].start |
2411.50221875 |
transcript.pyannote[132].end |
2419.11284375 |
transcript.pyannote[133].speaker |
SPEAKER_08 |
transcript.pyannote[133].start |
2416.68284375 |
transcript.pyannote[133].end |
2417.18909375 |
transcript.pyannote[134].speaker |
SPEAKER_08 |
transcript.pyannote[134].start |
2418.42096875 |
transcript.pyannote[134].end |
2419.73721875 |
transcript.pyannote[135].speaker |
SPEAKER_08 |
transcript.pyannote[135].start |
2419.97346875 |
transcript.pyannote[135].end |
2424.24284375 |
transcript.pyannote[136].speaker |
SPEAKER_08 |
transcript.pyannote[136].start |
2425.15409375 |
transcript.pyannote[136].end |
2428.68096875 |
transcript.pyannote[137].speaker |
SPEAKER_27 |
transcript.pyannote[137].start |
2426.80784375 |
transcript.pyannote[137].end |
2427.26346875 |
transcript.pyannote[138].speaker |
SPEAKER_08 |
transcript.pyannote[138].start |
2429.03534375 |
transcript.pyannote[138].end |
2433.06846875 |
transcript.pyannote[139].speaker |
SPEAKER_08 |
transcript.pyannote[139].start |
2433.65909375 |
transcript.pyannote[139].end |
2437.18596875 |
transcript.pyannote[140].speaker |
SPEAKER_08 |
transcript.pyannote[140].start |
2437.70909375 |
transcript.pyannote[140].end |
2439.54846875 |
transcript.pyannote[141].speaker |
SPEAKER_20 |
transcript.pyannote[141].start |
2438.43471875 |
transcript.pyannote[141].end |
2440.13909375 |
transcript.pyannote[142].speaker |
SPEAKER_08 |
transcript.pyannote[142].start |
2440.13909375 |
transcript.pyannote[142].end |
2441.05034375 |
transcript.pyannote[143].speaker |
SPEAKER_20 |
transcript.pyannote[143].start |
2440.17284375 |
transcript.pyannote[143].end |
2440.22346875 |
transcript.pyannote[144].speaker |
SPEAKER_08 |
transcript.pyannote[144].start |
2442.55221875 |
transcript.pyannote[144].end |
2444.54346875 |
transcript.pyannote[145].speaker |
SPEAKER_08 |
transcript.pyannote[145].start |
2444.86409375 |
transcript.pyannote[145].end |
2445.16784375 |
transcript.pyannote[146].speaker |
SPEAKER_08 |
transcript.pyannote[146].start |
2445.74159375 |
transcript.pyannote[146].end |
2448.79596875 |
transcript.pyannote[147].speaker |
SPEAKER_08 |
transcript.pyannote[147].start |
2449.13346875 |
transcript.pyannote[147].end |
2450.26409375 |
transcript.pyannote[148].speaker |
SPEAKER_22 |
transcript.pyannote[148].start |
2450.44971875 |
transcript.pyannote[148].end |
2450.77034375 |
transcript.pyannote[149].speaker |
SPEAKER_08 |
transcript.pyannote[149].start |
2450.56784375 |
transcript.pyannote[149].end |
2451.74909375 |
transcript.pyannote[150].speaker |
SPEAKER_08 |
transcript.pyannote[150].start |
2452.20471875 |
transcript.pyannote[150].end |
2458.87034375 |
transcript.pyannote[151].speaker |
SPEAKER_20 |
transcript.pyannote[151].start |
2458.87034375 |
transcript.pyannote[151].end |
2459.20784375 |
transcript.pyannote[152].speaker |
SPEAKER_08 |
transcript.pyannote[152].start |
2459.20784375 |
transcript.pyannote[152].end |
2462.14409375 |
transcript.pyannote[153].speaker |
SPEAKER_20 |
transcript.pyannote[153].start |
2459.27534375 |
transcript.pyannote[153].end |
2459.29221875 |
transcript.pyannote[154].speaker |
SPEAKER_08 |
transcript.pyannote[154].start |
2462.63346875 |
transcript.pyannote[154].end |
2464.70909375 |
transcript.pyannote[155].speaker |
SPEAKER_08 |
transcript.pyannote[155].start |
2465.35034375 |
transcript.pyannote[155].end |
2471.61096875 |
transcript.pyannote[156].speaker |
SPEAKER_08 |
transcript.pyannote[156].start |
2472.96096875 |
transcript.pyannote[156].end |
2475.30659375 |
transcript.pyannote[157].speaker |
SPEAKER_20 |
transcript.pyannote[157].start |
2475.52596875 |
transcript.pyannote[157].end |
2480.80784375 |
transcript.pyannote[158].speaker |
SPEAKER_08 |
transcript.pyannote[158].start |
2476.15034375 |
transcript.pyannote[158].end |
2481.44909375 |
transcript.pyannote[159].speaker |
SPEAKER_27 |
transcript.pyannote[159].start |
2480.80784375 |
transcript.pyannote[159].end |
2480.84159375 |
transcript.pyannote[160].speaker |
SPEAKER_08 |
transcript.pyannote[160].start |
2482.02284375 |
transcript.pyannote[160].end |
2484.90846875 |
transcript.pyannote[161].speaker |
SPEAKER_08 |
transcript.pyannote[161].start |
2487.18659375 |
transcript.pyannote[161].end |
2487.97971875 |
transcript.pyannote[162].speaker |
SPEAKER_08 |
transcript.pyannote[162].start |
2488.65471875 |
transcript.pyannote[162].end |
2492.09721875 |
transcript.pyannote[163].speaker |
SPEAKER_08 |
transcript.pyannote[163].start |
2492.62034375 |
transcript.pyannote[163].end |
2494.13909375 |
transcript.pyannote[164].speaker |
SPEAKER_08 |
transcript.pyannote[164].start |
2494.67909375 |
transcript.pyannote[164].end |
2495.43846875 |
transcript.pyannote[165].speaker |
SPEAKER_08 |
transcript.pyannote[165].start |
2497.26096875 |
transcript.pyannote[165].end |
2498.67846875 |
transcript.pyannote[166].speaker |
SPEAKER_08 |
transcript.pyannote[166].start |
2499.72471875 |
transcript.pyannote[166].end |
2502.54284375 |
transcript.pyannote[167].speaker |
SPEAKER_08 |
transcript.pyannote[167].start |
2503.01534375 |
transcript.pyannote[167].end |
2507.94284375 |
transcript.pyannote[168].speaker |
SPEAKER_08 |
transcript.pyannote[168].start |
2508.44909375 |
transcript.pyannote[168].end |
2510.10284375 |
transcript.pyannote[169].speaker |
SPEAKER_08 |
transcript.pyannote[169].start |
2510.47409375 |
transcript.pyannote[169].end |
2514.05159375 |
transcript.pyannote[170].speaker |
SPEAKER_20 |
transcript.pyannote[170].start |
2512.09409375 |
transcript.pyannote[170].end |
2512.92096875 |
transcript.pyannote[171].speaker |
SPEAKER_20 |
transcript.pyannote[171].start |
2514.05159375 |
transcript.pyannote[171].end |
2519.23221875 |
transcript.pyannote[172].speaker |
SPEAKER_08 |
transcript.pyannote[172].start |
2514.87846875 |
transcript.pyannote[172].end |
2515.03034375 |
transcript.pyannote[173].speaker |
SPEAKER_08 |
transcript.pyannote[173].start |
2518.59096875 |
transcript.pyannote[173].end |
2523.18096875 |
transcript.pyannote[174].speaker |
SPEAKER_20 |
transcript.pyannote[174].start |
2521.39221875 |
transcript.pyannote[174].end |
2522.87721875 |
transcript.pyannote[175].speaker |
SPEAKER_08 |
transcript.pyannote[175].start |
2523.40034375 |
transcript.pyannote[175].end |
2524.68284375 |
transcript.pyannote[176].speaker |
SPEAKER_08 |
transcript.pyannote[176].start |
2525.13846875 |
transcript.pyannote[176].end |
2528.85096875 |
transcript.pyannote[177].speaker |
SPEAKER_08 |
transcript.pyannote[177].start |
2529.44159375 |
transcript.pyannote[177].end |
2537.22096875 |
transcript.pyannote[178].speaker |
SPEAKER_08 |
transcript.pyannote[178].start |
2537.98034375 |
transcript.pyannote[178].end |
2545.92846875 |
transcript.pyannote[179].speaker |
SPEAKER_20 |
transcript.pyannote[179].start |
2545.52346875 |
transcript.pyannote[179].end |
2547.75096875 |
transcript.pyannote[180].speaker |
SPEAKER_08 |
transcript.pyannote[180].start |
2546.53596875 |
transcript.pyannote[180].end |
2547.63284375 |
transcript.pyannote[181].speaker |
SPEAKER_08 |
transcript.pyannote[181].start |
2547.75096875 |
transcript.pyannote[181].end |
2547.76784375 |
transcript.pyannote[182].speaker |
SPEAKER_20 |
transcript.pyannote[182].start |
2547.76784375 |
transcript.pyannote[182].end |
2547.78471875 |
transcript.pyannote[183].speaker |
SPEAKER_08 |
transcript.pyannote[183].start |
2547.97034375 |
transcript.pyannote[183].end |
2550.88971875 |
transcript.pyannote[184].speaker |
SPEAKER_20 |
transcript.pyannote[184].start |
2548.30784375 |
transcript.pyannote[184].end |
2554.80471875 |
transcript.pyannote[185].speaker |
SPEAKER_08 |
transcript.pyannote[185].start |
2551.39596875 |
transcript.pyannote[185].end |
2552.67846875 |
transcript.pyannote[186].speaker |
SPEAKER_08 |
transcript.pyannote[186].start |
2553.31971875 |
transcript.pyannote[186].end |
2557.52159375 |
transcript.pyannote[187].speaker |
SPEAKER_20 |
transcript.pyannote[187].start |
2556.59346875 |
transcript.pyannote[187].end |
2560.05284375 |
transcript.pyannote[188].speaker |
SPEAKER_20 |
transcript.pyannote[188].start |
2561.52096875 |
transcript.pyannote[188].end |
2562.41534375 |
transcript.pyannote[189].speaker |
SPEAKER_08 |
transcript.pyannote[189].start |
2562.28034375 |
transcript.pyannote[189].end |
2564.33909375 |
transcript.pyannote[190].speaker |
SPEAKER_08 |
transcript.pyannote[190].start |
2564.69346875 |
transcript.pyannote[190].end |
2573.58659375 |
transcript.pyannote[191].speaker |
SPEAKER_20 |
transcript.pyannote[191].start |
2575.17284375 |
transcript.pyannote[191].end |
2578.10909375 |
transcript.pyannote[192].speaker |
SPEAKER_08 |
transcript.pyannote[192].start |
2575.32471875 |
transcript.pyannote[192].end |
2575.98284375 |
transcript.pyannote[193].speaker |
SPEAKER_20 |
transcript.pyannote[193].start |
2578.66596875 |
transcript.pyannote[193].end |
2578.78409375 |
transcript.pyannote[194].speaker |
SPEAKER_08 |
transcript.pyannote[194].start |
2579.29034375 |
transcript.pyannote[194].end |
2584.90971875 |
transcript.pyannote[195].speaker |
SPEAKER_08 |
transcript.pyannote[195].start |
2585.46659375 |
transcript.pyannote[195].end |
2588.75721875 |
transcript.pyannote[196].speaker |
SPEAKER_22 |
transcript.pyannote[196].start |
2585.71971875 |
transcript.pyannote[196].end |
2585.77034375 |
transcript.pyannote[197].speaker |
SPEAKER_20 |
transcript.pyannote[197].start |
2585.77034375 |
transcript.pyannote[197].end |
2585.97284375 |
transcript.pyannote[198].speaker |
SPEAKER_22 |
transcript.pyannote[198].start |
2585.97284375 |
transcript.pyannote[198].end |
2586.00659375 |
transcript.pyannote[199].speaker |
SPEAKER_08 |
transcript.pyannote[199].start |
2588.80784375 |
transcript.pyannote[199].end |
2590.79909375 |
transcript.pyannote[200].speaker |
SPEAKER_08 |
transcript.pyannote[200].start |
2591.60909375 |
transcript.pyannote[200].end |
2594.89971875 |
transcript.pyannote[201].speaker |
SPEAKER_20 |
transcript.pyannote[201].start |
2593.29659375 |
transcript.pyannote[201].end |
2593.83659375 |
transcript.pyannote[202].speaker |
SPEAKER_20 |
transcript.pyannote[202].start |
2593.95471875 |
transcript.pyannote[202].end |
2595.97971875 |
transcript.pyannote[203].speaker |
SPEAKER_08 |
transcript.pyannote[203].start |
2595.28784375 |
transcript.pyannote[203].end |
2597.48159375 |
transcript.pyannote[204].speaker |
SPEAKER_08 |
transcript.pyannote[204].start |
2597.95409375 |
transcript.pyannote[204].end |
2599.59096875 |
transcript.pyannote[205].speaker |
SPEAKER_08 |
transcript.pyannote[205].start |
2599.86096875 |
transcript.pyannote[205].end |
2604.40034375 |
transcript.pyannote[206].speaker |
SPEAKER_08 |
transcript.pyannote[206].start |
2604.78846875 |
transcript.pyannote[206].end |
2613.66471875 |
transcript.pyannote[207].speaker |
SPEAKER_08 |
transcript.pyannote[207].start |
2614.06971875 |
transcript.pyannote[207].end |
2620.29659375 |
transcript.pyannote[208].speaker |
SPEAKER_20 |
transcript.pyannote[208].start |
2618.54159375 |
transcript.pyannote[208].end |
2623.41846875 |
transcript.pyannote[209].speaker |
SPEAKER_08 |
transcript.pyannote[209].start |
2621.56221875 |
transcript.pyannote[209].end |
2622.00096875 |
transcript.pyannote[210].speaker |
SPEAKER_08 |
transcript.pyannote[210].start |
2623.41846875 |
transcript.pyannote[210].end |
2624.34659375 |
transcript.pyannote[211].speaker |
SPEAKER_20 |
transcript.pyannote[211].start |
2624.34659375 |
transcript.pyannote[211].end |
2626.77659375 |
transcript.pyannote[212].speaker |
SPEAKER_08 |
transcript.pyannote[212].start |
2626.86096875 |
transcript.pyannote[212].end |
2632.98659375 |
transcript.pyannote[213].speaker |
SPEAKER_08 |
transcript.pyannote[213].start |
2633.23971875 |
transcript.pyannote[213].end |
2641.57596875 |
transcript.pyannote[214].speaker |
SPEAKER_08 |
transcript.pyannote[214].start |
2642.45346875 |
transcript.pyannote[214].end |
2644.32659375 |
transcript.pyannote[215].speaker |
SPEAKER_08 |
transcript.pyannote[215].start |
2644.78221875 |
transcript.pyannote[215].end |
2647.71846875 |
transcript.pyannote[216].speaker |
SPEAKER_08 |
transcript.pyannote[216].start |
2649.03471875 |
transcript.pyannote[216].end |
2654.19846875 |
transcript.pyannote[217].speaker |
SPEAKER_08 |
transcript.pyannote[217].start |
2654.89034375 |
transcript.pyannote[217].end |
2655.98721875 |
transcript.pyannote[218].speaker |
SPEAKER_08 |
transcript.pyannote[218].start |
2656.62846875 |
transcript.pyannote[218].end |
2663.00721875 |
transcript.pyannote[219].speaker |
SPEAKER_20 |
transcript.pyannote[219].start |
2661.87659375 |
transcript.pyannote[219].end |
2663.37846875 |
transcript.pyannote[220].speaker |
SPEAKER_08 |
transcript.pyannote[220].start |
2663.54721875 |
transcript.pyannote[220].end |
2663.91846875 |
transcript.pyannote[221].speaker |
SPEAKER_08 |
transcript.pyannote[221].start |
2664.37409375 |
transcript.pyannote[221].end |
2665.42034375 |
transcript.pyannote[222].speaker |
SPEAKER_08 |
transcript.pyannote[222].start |
2666.23034375 |
transcript.pyannote[222].end |
2670.75284375 |
transcript.pyannote[223].speaker |
SPEAKER_08 |
transcript.pyannote[223].start |
2672.18721875 |
transcript.pyannote[223].end |
2672.59221875 |
transcript.pyannote[224].speaker |
SPEAKER_08 |
transcript.pyannote[224].start |
2672.99721875 |
transcript.pyannote[224].end |
2679.25784375 |
transcript.pyannote[225].speaker |
SPEAKER_08 |
transcript.pyannote[225].start |
2679.76409375 |
transcript.pyannote[225].end |
2680.91159375 |
transcript.pyannote[226].speaker |
SPEAKER_08 |
transcript.pyannote[226].start |
2680.94534375 |
transcript.pyannote[226].end |
2681.83971875 |
transcript.pyannote[227].speaker |
SPEAKER_08 |
transcript.pyannote[227].start |
2682.53159375 |
transcript.pyannote[227].end |
2684.18534375 |
transcript.pyannote[228].speaker |
SPEAKER_08 |
transcript.pyannote[228].start |
2684.80971875 |
transcript.pyannote[228].end |
2687.20596875 |
transcript.pyannote[229].speaker |
SPEAKER_20 |
transcript.pyannote[229].start |
2687.10471875 |
transcript.pyannote[229].end |
2693.41596875 |
transcript.pyannote[230].speaker |
SPEAKER_08 |
transcript.pyannote[230].start |
2691.96471875 |
transcript.pyannote[230].end |
2692.97721875 |
transcript.pyannote[231].speaker |
SPEAKER_22 |
transcript.pyannote[231].start |
2692.97721875 |
transcript.pyannote[231].end |
2693.02784375 |
transcript.pyannote[232].speaker |
SPEAKER_08 |
transcript.pyannote[232].start |
2693.02784375 |
transcript.pyannote[232].end |
2693.39909375 |
transcript.pyannote[233].speaker |
SPEAKER_22 |
transcript.pyannote[233].start |
2693.39909375 |
transcript.pyannote[233].end |
2694.74909375 |
transcript.pyannote[234].speaker |
SPEAKER_20 |
transcript.pyannote[234].start |
2693.68596875 |
transcript.pyannote[234].end |
2701.90409375 |
transcript.pyannote[235].speaker |
SPEAKER_08 |
transcript.pyannote[235].start |
2694.74909375 |
transcript.pyannote[235].end |
2694.96846875 |
transcript.pyannote[236].speaker |
SPEAKER_22 |
transcript.pyannote[236].start |
2694.96846875 |
transcript.pyannote[236].end |
2695.03596875 |
transcript.pyannote[237].speaker |
SPEAKER_08 |
transcript.pyannote[237].start |
2695.03596875 |
transcript.pyannote[237].end |
2695.96409375 |
transcript.pyannote[238].speaker |
SPEAKER_22 |
transcript.pyannote[238].start |
2695.96409375 |
transcript.pyannote[238].end |
2696.03159375 |
transcript.pyannote[239].speaker |
SPEAKER_08 |
transcript.pyannote[239].start |
2696.03159375 |
transcript.pyannote[239].end |
2698.37721875 |
transcript.pyannote[240].speaker |
SPEAKER_08 |
transcript.pyannote[240].start |
2699.72721875 |
transcript.pyannote[240].end |
2708.23221875 |
transcript.pyannote[241].speaker |
SPEAKER_08 |
transcript.pyannote[241].start |
2708.60346875 |
transcript.pyannote[241].end |
2710.15596875 |
transcript.pyannote[242].speaker |
SPEAKER_08 |
transcript.pyannote[242].start |
2710.91534375 |
transcript.pyannote[242].end |
2712.94034375 |
transcript.pyannote[243].speaker |
SPEAKER_20 |
transcript.pyannote[243].start |
2712.99096875 |
transcript.pyannote[243].end |
2714.49284375 |
transcript.pyannote[244].speaker |
SPEAKER_08 |
transcript.pyannote[244].start |
2713.24409375 |
transcript.pyannote[244].end |
2713.78409375 |
transcript.pyannote[245].speaker |
SPEAKER_08 |
transcript.pyannote[245].start |
2714.50971875 |
transcript.pyannote[245].end |
2715.26909375 |
transcript.pyannote[246].speaker |
SPEAKER_08 |
transcript.pyannote[246].start |
2715.77534375 |
transcript.pyannote[246].end |
2719.21784375 |
transcript.pyannote[247].speaker |
SPEAKER_20 |
transcript.pyannote[247].start |
2716.04534375 |
transcript.pyannote[247].end |
2717.64846875 |
transcript.pyannote[248].speaker |
SPEAKER_08 |
transcript.pyannote[248].start |
2719.62284375 |
transcript.pyannote[248].end |
2727.50346875 |
transcript.pyannote[249].speaker |
SPEAKER_20 |
transcript.pyannote[249].start |
2726.54159375 |
transcript.pyannote[249].end |
2726.99721875 |
transcript.pyannote[250].speaker |
SPEAKER_20 |
transcript.pyannote[250].start |
2727.94221875 |
transcript.pyannote[250].end |
2730.64221875 |
transcript.pyannote[251].speaker |
SPEAKER_08 |
transcript.pyannote[251].start |
2728.02659375 |
transcript.pyannote[251].end |
2730.43971875 |
transcript.pyannote[252].speaker |
SPEAKER_20 |
transcript.pyannote[252].start |
2730.81096875 |
transcript.pyannote[252].end |
2732.46471875 |
transcript.pyannote[253].speaker |
SPEAKER_08 |
transcript.pyannote[253].start |
2731.85721875 |
transcript.pyannote[253].end |
2733.42659375 |
transcript.pyannote[254].speaker |
SPEAKER_08 |
transcript.pyannote[254].start |
2733.88221875 |
transcript.pyannote[254].end |
2738.32034375 |
transcript.pyannote[255].speaker |
SPEAKER_08 |
transcript.pyannote[255].start |
2741.89784375 |
transcript.pyannote[255].end |
2742.25221875 |
transcript.pyannote[256].speaker |
SPEAKER_08 |
transcript.pyannote[256].start |
2742.57284375 |
transcript.pyannote[256].end |
2760.07221875 |
transcript.pyannote[257].speaker |
SPEAKER_27 |
transcript.pyannote[257].start |
2745.61034375 |
transcript.pyannote[257].end |
2746.06596875 |
transcript.pyannote[258].speaker |
SPEAKER_08 |
transcript.pyannote[258].start |
2760.73034375 |
transcript.pyannote[258].end |
2762.46846875 |
transcript.pyannote[259].speaker |
SPEAKER_20 |
transcript.pyannote[259].start |
2762.78909375 |
transcript.pyannote[259].end |
2765.35409375 |
transcript.pyannote[260].speaker |
SPEAKER_08 |
transcript.pyannote[260].start |
2764.78034375 |
transcript.pyannote[260].end |
2766.60284375 |
transcript.pyannote[261].speaker |
SPEAKER_08 |
transcript.pyannote[261].start |
2766.94034375 |
transcript.pyannote[261].end |
2767.49721875 |
transcript.pyannote[262].speaker |
SPEAKER_08 |
transcript.pyannote[262].start |
2767.78409375 |
transcript.pyannote[262].end |
2771.73284375 |
transcript.pyannote[263].speaker |
SPEAKER_08 |
transcript.pyannote[263].start |
2773.04909375 |
transcript.pyannote[263].end |
2774.43284375 |
transcript.pyannote[264].speaker |
SPEAKER_20 |
transcript.pyannote[264].start |
2774.85471875 |
transcript.pyannote[264].end |
2777.03159375 |
transcript.pyannote[265].speaker |
SPEAKER_08 |
transcript.pyannote[265].start |
2775.00659375 |
transcript.pyannote[265].end |
2775.59721875 |
transcript.pyannote[266].speaker |
SPEAKER_08 |
transcript.pyannote[266].start |
2777.33534375 |
transcript.pyannote[266].end |
2778.33096875 |
transcript.pyannote[267].speaker |
SPEAKER_08 |
transcript.pyannote[267].start |
2778.70221875 |
transcript.pyannote[267].end |
2779.12409375 |
transcript.pyannote[268].speaker |
SPEAKER_08 |
transcript.pyannote[268].start |
2780.18721875 |
transcript.pyannote[268].end |
2781.97596875 |
transcript.pyannote[269].speaker |
SPEAKER_08 |
transcript.pyannote[269].start |
2782.33034375 |
transcript.pyannote[269].end |
2787.30846875 |
transcript.pyannote[270].speaker |
SPEAKER_08 |
transcript.pyannote[270].start |
2787.91596875 |
transcript.pyannote[270].end |
2787.96659375 |
transcript.pyannote[271].speaker |
SPEAKER_24 |
transcript.pyannote[271].start |
2787.96659375 |
transcript.pyannote[271].end |
2788.01721875 |
transcript.pyannote[272].speaker |
SPEAKER_08 |
transcript.pyannote[272].start |
2788.01721875 |
transcript.pyannote[272].end |
2793.31596875 |
transcript.pyannote[273].speaker |
SPEAKER_24 |
transcript.pyannote[273].start |
2788.28721875 |
transcript.pyannote[273].end |
2789.55284375 |
transcript.pyannote[274].speaker |
SPEAKER_08 |
transcript.pyannote[274].start |
2795.84721875 |
transcript.pyannote[274].end |
2809.51596875 |
transcript.pyannote[275].speaker |
SPEAKER_27 |
transcript.pyannote[275].start |
2803.05284375 |
transcript.pyannote[275].end |
2805.97221875 |
transcript.pyannote[276].speaker |
SPEAKER_22 |
transcript.pyannote[276].start |
2805.97221875 |
transcript.pyannote[276].end |
2806.49534375 |
transcript.pyannote[277].speaker |
SPEAKER_08 |
transcript.pyannote[277].start |
2810.00534375 |
transcript.pyannote[277].end |
2811.77721875 |
transcript.pyannote[278].speaker |
SPEAKER_08 |
transcript.pyannote[278].start |
2812.24971875 |
transcript.pyannote[278].end |
2815.59096875 |
transcript.pyannote[279].speaker |
SPEAKER_20 |
transcript.pyannote[279].start |
2815.84409375 |
transcript.pyannote[279].end |
2819.75909375 |
transcript.pyannote[280].speaker |
SPEAKER_08 |
transcript.pyannote[280].start |
2817.97034375 |
transcript.pyannote[280].end |
2819.82659375 |
transcript.pyannote[281].speaker |
SPEAKER_20 |
transcript.pyannote[281].start |
2820.13034375 |
transcript.pyannote[281].end |
2822.07096875 |
transcript.pyannote[282].speaker |
SPEAKER_08 |
transcript.pyannote[282].start |
2820.65346875 |
transcript.pyannote[282].end |
2824.78784375 |
transcript.pyannote[283].speaker |
SPEAKER_27 |
transcript.pyannote[283].start |
2822.07096875 |
transcript.pyannote[283].end |
2822.12159375 |
transcript.pyannote[284].speaker |
SPEAKER_08 |
transcript.pyannote[284].start |
2825.93534375 |
transcript.pyannote[284].end |
2828.48346875 |
transcript.pyannote[285].speaker |
SPEAKER_08 |
transcript.pyannote[285].start |
2828.83784375 |
transcript.pyannote[285].end |
2831.40284375 |
transcript.pyannote[286].speaker |
SPEAKER_06 |
transcript.pyannote[286].start |
2831.40284375 |
transcript.pyannote[286].end |
2831.52096875 |
transcript.pyannote[287].speaker |
SPEAKER_08 |
transcript.pyannote[287].start |
2831.52096875 |
transcript.pyannote[287].end |
2831.53784375 |
transcript.pyannote[288].speaker |
SPEAKER_06 |
transcript.pyannote[288].start |
2831.53784375 |
transcript.pyannote[288].end |
2831.55471875 |
transcript.pyannote[289].speaker |
SPEAKER_08 |
transcript.pyannote[289].start |
2831.55471875 |
transcript.pyannote[289].end |
2832.02721875 |
transcript.pyannote[290].speaker |
SPEAKER_06 |
transcript.pyannote[290].start |
2832.02721875 |
transcript.pyannote[290].end |
2832.71909375 |
transcript.pyannote[291].speaker |
SPEAKER_08 |
transcript.pyannote[291].start |
2832.71909375 |
transcript.pyannote[291].end |
2832.73596875 |
transcript.pyannote[292].speaker |
SPEAKER_21 |
transcript.pyannote[292].start |
2833.07346875 |
transcript.pyannote[292].end |
2833.64721875 |
transcript.pyannote[293].speaker |
SPEAKER_06 |
transcript.pyannote[293].start |
2835.68909375 |
transcript.pyannote[293].end |
2842.94534375 |
transcript.pyannote[294].speaker |
SPEAKER_10 |
transcript.pyannote[294].start |
2856.07409375 |
transcript.pyannote[294].end |
2858.38596875 |
transcript.pyannote[295].speaker |
SPEAKER_10 |
transcript.pyannote[295].start |
2858.74034375 |
transcript.pyannote[295].end |
2859.09471875 |
transcript.pyannote[296].speaker |
SPEAKER_06 |
transcript.pyannote[296].start |
2859.09471875 |
transcript.pyannote[296].end |
2859.78659375 |
transcript.pyannote[297].speaker |
SPEAKER_10 |
transcript.pyannote[297].start |
2859.78659375 |
transcript.pyannote[297].end |
2859.92159375 |
transcript.pyannote[298].speaker |
SPEAKER_10 |
transcript.pyannote[298].start |
2860.54596875 |
transcript.pyannote[298].end |
2860.56284375 |
transcript.pyannote[299].speaker |
SPEAKER_06 |
transcript.pyannote[299].start |
2860.56284375 |
transcript.pyannote[299].end |
2862.31784375 |
transcript.pyannote[300].speaker |
SPEAKER_20 |
transcript.pyannote[300].start |
2865.28784375 |
transcript.pyannote[300].end |
2865.86159375 |
transcript.pyannote[301].speaker |
SPEAKER_06 |
transcript.pyannote[301].start |
2866.68846875 |
transcript.pyannote[301].end |
2866.97534375 |
transcript.pyannote[302].speaker |
SPEAKER_10 |
transcript.pyannote[302].start |
2866.97534375 |
transcript.pyannote[302].end |
2867.16096875 |
transcript.pyannote[303].speaker |
SPEAKER_06 |
transcript.pyannote[303].start |
2867.16096875 |
transcript.pyannote[303].end |
2867.17784375 |
transcript.pyannote[304].speaker |
SPEAKER_06 |
transcript.pyannote[304].start |
2867.86971875 |
transcript.pyannote[304].end |
2867.88659375 |
transcript.pyannote[305].speaker |
SPEAKER_10 |
transcript.pyannote[305].start |
2867.88659375 |
transcript.pyannote[305].end |
2868.46034375 |
transcript.pyannote[306].speaker |
SPEAKER_10 |
transcript.pyannote[306].start |
2869.37159375 |
transcript.pyannote[306].end |
2873.96159375 |
transcript.pyannote[307].speaker |
SPEAKER_10 |
transcript.pyannote[307].start |
2874.45096875 |
transcript.pyannote[307].end |
2876.81346875 |
transcript.pyannote[308].speaker |
SPEAKER_10 |
transcript.pyannote[308].start |
2877.58971875 |
transcript.pyannote[308].end |
2878.68659375 |
transcript.pyannote[309].speaker |
SPEAKER_10 |
transcript.pyannote[309].start |
2879.15909375 |
transcript.pyannote[309].end |
2881.21784375 |
transcript.pyannote[310].speaker |
SPEAKER_10 |
transcript.pyannote[310].start |
2881.60596875 |
transcript.pyannote[310].end |
2886.71909375 |
transcript.pyannote[311].speaker |
SPEAKER_10 |
transcript.pyannote[311].start |
2887.05659375 |
transcript.pyannote[311].end |
2889.38534375 |
transcript.pyannote[312].speaker |
SPEAKER_10 |
transcript.pyannote[312].start |
2889.77346875 |
transcript.pyannote[312].end |
2896.45596875 |
transcript.pyannote[313].speaker |
SPEAKER_10 |
transcript.pyannote[313].start |
2896.79346875 |
transcript.pyannote[313].end |
2899.98284375 |
transcript.pyannote[314].speaker |
SPEAKER_20 |
transcript.pyannote[314].start |
2900.86034375 |
transcript.pyannote[314].end |
2906.37846875 |
transcript.pyannote[315].speaker |
SPEAKER_22 |
transcript.pyannote[315].start |
2906.56409375 |
transcript.pyannote[315].end |
2906.98596875 |
transcript.pyannote[316].speaker |
SPEAKER_20 |
transcript.pyannote[316].start |
2906.98596875 |
transcript.pyannote[316].end |
2918.14034375 |
transcript.pyannote[317].speaker |
SPEAKER_20 |
transcript.pyannote[317].start |
2918.69721875 |
transcript.pyannote[317].end |
2924.46846875 |
transcript.pyannote[318].speaker |
SPEAKER_27 |
transcript.pyannote[318].start |
2918.96721875 |
transcript.pyannote[318].end |
2920.97534375 |
transcript.pyannote[319].speaker |
SPEAKER_00 |
transcript.pyannote[319].start |
2920.97534375 |
transcript.pyannote[319].end |
2921.32971875 |
transcript.pyannote[320].speaker |
SPEAKER_20 |
transcript.pyannote[320].start |
2924.92409375 |
transcript.pyannote[320].end |
2930.13846875 |
transcript.pyannote[321].speaker |
SPEAKER_10 |
transcript.pyannote[321].start |
2930.13846875 |
transcript.pyannote[321].end |
2930.42534375 |
transcript.pyannote[322].speaker |
SPEAKER_20 |
transcript.pyannote[322].start |
2930.66159375 |
transcript.pyannote[322].end |
2931.26909375 |
transcript.pyannote[323].speaker |
SPEAKER_20 |
transcript.pyannote[323].start |
2931.80909375 |
transcript.pyannote[323].end |
2934.66096875 |
transcript.pyannote[324].speaker |
SPEAKER_10 |
transcript.pyannote[324].start |
2933.88471875 |
transcript.pyannote[324].end |
2936.87159375 |
transcript.pyannote[325].speaker |
SPEAKER_20 |
transcript.pyannote[325].start |
2935.48784375 |
transcript.pyannote[325].end |
2935.97721875 |
transcript.pyannote[326].speaker |
SPEAKER_20 |
transcript.pyannote[326].start |
2936.04471875 |
transcript.pyannote[326].end |
2936.28096875 |
transcript.pyannote[327].speaker |
SPEAKER_20 |
transcript.pyannote[327].start |
2936.70284375 |
transcript.pyannote[327].end |
2939.48721875 |
transcript.pyannote[328].speaker |
SPEAKER_10 |
transcript.pyannote[328].start |
2937.83346875 |
transcript.pyannote[328].end |
2938.22159375 |
transcript.pyannote[329].speaker |
SPEAKER_10 |
transcript.pyannote[329].start |
2939.36909375 |
transcript.pyannote[329].end |
2939.74034375 |
transcript.pyannote[330].speaker |
SPEAKER_22 |
transcript.pyannote[330].start |
2939.74034375 |
transcript.pyannote[330].end |
2939.75721875 |
transcript.pyannote[331].speaker |
SPEAKER_20 |
transcript.pyannote[331].start |
2939.75721875 |
transcript.pyannote[331].end |
2951.83971875 |
transcript.pyannote[332].speaker |
SPEAKER_10 |
transcript.pyannote[332].start |
2950.57409375 |
transcript.pyannote[332].end |
2955.51846875 |
transcript.pyannote[333].speaker |
SPEAKER_10 |
transcript.pyannote[333].start |
2958.82596875 |
transcript.pyannote[333].end |
2963.55096875 |
transcript.pyannote[334].speaker |
SPEAKER_20 |
transcript.pyannote[334].start |
2964.15846875 |
transcript.pyannote[334].end |
2974.73909375 |
transcript.pyannote[335].speaker |
SPEAKER_10 |
transcript.pyannote[335].start |
2966.72346875 |
transcript.pyannote[335].end |
2967.21284375 |
transcript.pyannote[336].speaker |
SPEAKER_10 |
transcript.pyannote[336].start |
2968.63034375 |
transcript.pyannote[336].end |
2969.15346875 |
transcript.pyannote[337].speaker |
SPEAKER_20 |
transcript.pyannote[337].start |
2975.14409375 |
transcript.pyannote[337].end |
2975.26221875 |
transcript.pyannote[338].speaker |
SPEAKER_10 |
transcript.pyannote[338].start |
2975.26221875 |
transcript.pyannote[338].end |
2977.77659375 |
transcript.pyannote[339].speaker |
SPEAKER_10 |
transcript.pyannote[339].start |
2978.28284375 |
transcript.pyannote[339].end |
2981.82659375 |
transcript.pyannote[340].speaker |
SPEAKER_10 |
transcript.pyannote[340].start |
2981.97846875 |
transcript.pyannote[340].end |
2985.67409375 |
transcript.pyannote[341].speaker |
SPEAKER_10 |
transcript.pyannote[341].start |
2986.26471875 |
transcript.pyannote[341].end |
2990.80409375 |
transcript.pyannote[342].speaker |
SPEAKER_10 |
transcript.pyannote[342].start |
2991.19221875 |
transcript.pyannote[342].end |
2997.09846875 |
transcript.pyannote[343].speaker |
SPEAKER_10 |
transcript.pyannote[343].start |
2997.73971875 |
transcript.pyannote[343].end |
3004.25346875 |
transcript.pyannote[344].speaker |
SPEAKER_10 |
transcript.pyannote[344].start |
3004.81034375 |
transcript.pyannote[344].end |
3032.53596875 |
transcript.pyannote[345].speaker |
SPEAKER_10 |
transcript.pyannote[345].start |
3033.10971875 |
transcript.pyannote[345].end |
3035.18534375 |
transcript.pyannote[346].speaker |
SPEAKER_20 |
transcript.pyannote[346].start |
3035.77596875 |
transcript.pyannote[346].end |
3070.77471875 |
transcript.pyannote[347].speaker |
SPEAKER_10 |
transcript.pyannote[347].start |
3070.47096875 |
transcript.pyannote[347].end |
3071.68596875 |
transcript.pyannote[348].speaker |
SPEAKER_10 |
transcript.pyannote[348].start |
3071.77034375 |
transcript.pyannote[348].end |
3083.63346875 |
transcript.pyannote[349].speaker |
SPEAKER_20 |
transcript.pyannote[349].start |
3082.04721875 |
transcript.pyannote[349].end |
3088.76346875 |
transcript.pyannote[350].speaker |
SPEAKER_10 |
transcript.pyannote[350].start |
3085.42221875 |
transcript.pyannote[350].end |
3085.77659375 |
transcript.pyannote[351].speaker |
SPEAKER_10 |
transcript.pyannote[351].start |
3088.39221875 |
transcript.pyannote[351].end |
3089.84346875 |
transcript.pyannote[352].speaker |
SPEAKER_10 |
transcript.pyannote[352].start |
3090.28221875 |
transcript.pyannote[352].end |
3093.38721875 |
transcript.pyannote[353].speaker |
SPEAKER_20 |
transcript.pyannote[353].start |
3093.38721875 |
transcript.pyannote[353].end |
3093.58971875 |
transcript.pyannote[354].speaker |
SPEAKER_10 |
transcript.pyannote[354].start |
3093.58971875 |
transcript.pyannote[354].end |
3101.80784375 |
transcript.pyannote[355].speaker |
SPEAKER_20 |
transcript.pyannote[355].start |
3102.11159375 |
transcript.pyannote[355].end |
3102.73596875 |
transcript.pyannote[356].speaker |
SPEAKER_10 |
transcript.pyannote[356].start |
3102.16221875 |
transcript.pyannote[356].end |
3103.30971875 |
transcript.pyannote[357].speaker |
SPEAKER_10 |
transcript.pyannote[357].start |
3103.78221875 |
transcript.pyannote[357].end |
3106.48221875 |
transcript.pyannote[358].speaker |
SPEAKER_20 |
transcript.pyannote[358].start |
3106.85346875 |
transcript.pyannote[358].end |
3113.78909375 |
transcript.pyannote[359].speaker |
SPEAKER_20 |
transcript.pyannote[359].start |
3114.10971875 |
transcript.pyannote[359].end |
3116.99534375 |
transcript.pyannote[360].speaker |
SPEAKER_20 |
transcript.pyannote[360].start |
3117.28221875 |
transcript.pyannote[360].end |
3134.83221875 |
transcript.pyannote[361].speaker |
SPEAKER_10 |
transcript.pyannote[361].start |
3133.07721875 |
transcript.pyannote[361].end |
3134.12346875 |
transcript.pyannote[362].speaker |
SPEAKER_10 |
transcript.pyannote[362].start |
3134.98409375 |
transcript.pyannote[362].end |
3137.02596875 |
transcript.pyannote[363].speaker |
SPEAKER_10 |
transcript.pyannote[363].start |
3137.34659375 |
transcript.pyannote[363].end |
3145.24409375 |
transcript.pyannote[364].speaker |
SPEAKER_10 |
transcript.pyannote[364].start |
3145.91909375 |
transcript.pyannote[364].end |
3154.55909375 |
transcript.pyannote[365].speaker |
SPEAKER_10 |
transcript.pyannote[365].start |
3155.08221875 |
transcript.pyannote[365].end |
3158.30534375 |
transcript.pyannote[366].speaker |
SPEAKER_10 |
transcript.pyannote[366].start |
3159.41909375 |
transcript.pyannote[366].end |
3163.08096875 |
transcript.pyannote[367].speaker |
SPEAKER_10 |
transcript.pyannote[367].start |
3163.23284375 |
transcript.pyannote[367].end |
3175.61909375 |
transcript.pyannote[368].speaker |
SPEAKER_10 |
transcript.pyannote[368].start |
3175.73721875 |
transcript.pyannote[368].end |
3178.57221875 |
transcript.pyannote[369].speaker |
SPEAKER_10 |
transcript.pyannote[369].start |
3178.96034375 |
transcript.pyannote[369].end |
3180.20909375 |
transcript.pyannote[370].speaker |
SPEAKER_10 |
transcript.pyannote[370].start |
3180.91784375 |
transcript.pyannote[370].end |
3182.53784375 |
transcript.pyannote[371].speaker |
SPEAKER_10 |
transcript.pyannote[371].start |
3183.56721875 |
transcript.pyannote[371].end |
3186.68909375 |
transcript.pyannote[372].speaker |
SPEAKER_27 |
transcript.pyannote[372].start |
3183.66846875 |
transcript.pyannote[372].end |
3183.97221875 |
transcript.pyannote[373].speaker |
SPEAKER_20 |
transcript.pyannote[373].start |
3187.24596875 |
transcript.pyannote[373].end |
3191.65034375 |
transcript.pyannote[374].speaker |
SPEAKER_10 |
transcript.pyannote[374].start |
3191.29596875 |
transcript.pyannote[374].end |
3196.64534375 |
transcript.pyannote[375].speaker |
SPEAKER_20 |
transcript.pyannote[375].start |
3195.83534375 |
transcript.pyannote[375].end |
3207.07409375 |
transcript.pyannote[376].speaker |
SPEAKER_10 |
transcript.pyannote[376].start |
3206.88846875 |
transcript.pyannote[376].end |
3216.59159375 |
transcript.pyannote[377].speaker |
SPEAKER_22 |
transcript.pyannote[377].start |
3216.76034375 |
transcript.pyannote[377].end |
3216.82784375 |
transcript.pyannote[378].speaker |
SPEAKER_10 |
transcript.pyannote[378].start |
3217.13159375 |
transcript.pyannote[378].end |
3227.05409375 |
transcript.pyannote[379].speaker |
SPEAKER_20 |
transcript.pyannote[379].start |
3227.83034375 |
transcript.pyannote[379].end |
3251.32034375 |
transcript.pyannote[380].speaker |
SPEAKER_10 |
transcript.pyannote[380].start |
3248.99159375 |
transcript.pyannote[380].end |
3250.34159375 |
transcript.pyannote[381].speaker |
SPEAKER_20 |
transcript.pyannote[381].start |
3251.92784375 |
transcript.pyannote[381].end |
3252.58596875 |
transcript.pyannote[382].speaker |
SPEAKER_10 |
transcript.pyannote[382].start |
3252.14721875 |
transcript.pyannote[382].end |
3254.56034375 |
transcript.pyannote[383].speaker |
SPEAKER_10 |
transcript.pyannote[383].start |
3255.26909375 |
transcript.pyannote[383].end |
3256.72034375 |
transcript.pyannote[384].speaker |
SPEAKER_10 |
transcript.pyannote[384].start |
3256.97346875 |
transcript.pyannote[384].end |
3261.20909375 |
transcript.pyannote[385].speaker |
SPEAKER_10 |
transcript.pyannote[385].start |
3261.64784375 |
transcript.pyannote[385].end |
3265.46159375 |
transcript.pyannote[386].speaker |
SPEAKER_10 |
transcript.pyannote[386].start |
3266.00159375 |
transcript.pyannote[386].end |
3266.74409375 |
transcript.pyannote[387].speaker |
SPEAKER_20 |
transcript.pyannote[387].start |
3266.98034375 |
transcript.pyannote[387].end |
3287.65221875 |
transcript.pyannote[388].speaker |
SPEAKER_22 |
transcript.pyannote[388].start |
3274.60784375 |
transcript.pyannote[388].end |
3274.82721875 |
transcript.pyannote[389].speaker |
SPEAKER_10 |
transcript.pyannote[389].start |
3282.97784375 |
transcript.pyannote[389].end |
3283.45034375 |
transcript.pyannote[390].speaker |
SPEAKER_10 |
transcript.pyannote[390].start |
3285.98159375 |
transcript.pyannote[390].end |
3288.47909375 |
transcript.pyannote[391].speaker |
SPEAKER_10 |
transcript.pyannote[391].start |
3288.91784375 |
transcript.pyannote[391].end |
3289.25534375 |
transcript.pyannote[392].speaker |
SPEAKER_10 |
transcript.pyannote[392].start |
3289.37346875 |
transcript.pyannote[392].end |
3292.74846875 |
transcript.pyannote[393].speaker |
SPEAKER_10 |
transcript.pyannote[393].start |
3293.54159375 |
transcript.pyannote[393].end |
3296.10659375 |
transcript.pyannote[394].speaker |
SPEAKER_20 |
transcript.pyannote[394].start |
3297.64221875 |
transcript.pyannote[394].end |
3299.29596875 |
transcript.pyannote[395].speaker |
SPEAKER_10 |
transcript.pyannote[395].start |
3297.89534375 |
transcript.pyannote[395].end |
3300.73034375 |
transcript.pyannote[396].speaker |
SPEAKER_20 |
transcript.pyannote[396].start |
3300.73034375 |
transcript.pyannote[396].end |
3300.98346875 |
transcript.pyannote[397].speaker |
SPEAKER_10 |
transcript.pyannote[397].start |
3301.25346875 |
transcript.pyannote[397].end |
3304.76346875 |
transcript.pyannote[398].speaker |
SPEAKER_20 |
transcript.pyannote[398].start |
3307.46346875 |
transcript.pyannote[398].end |
3316.22159375 |
transcript.pyannote[399].speaker |
SPEAKER_10 |
transcript.pyannote[399].start |
3314.23034375 |
transcript.pyannote[399].end |
3314.83784375 |
transcript.pyannote[400].speaker |
SPEAKER_20 |
transcript.pyannote[400].start |
3316.27221875 |
transcript.pyannote[400].end |
3318.28034375 |
transcript.pyannote[401].speaker |
SPEAKER_10 |
transcript.pyannote[401].start |
3317.47034375 |
transcript.pyannote[401].end |
3324.45659375 |
transcript.pyannote[402].speaker |
SPEAKER_10 |
transcript.pyannote[402].start |
3324.99659375 |
transcript.pyannote[402].end |
3326.31284375 |
transcript.pyannote[403].speaker |
SPEAKER_10 |
transcript.pyannote[403].start |
3326.36346875 |
transcript.pyannote[403].end |
3331.44284375 |
transcript.pyannote[404].speaker |
SPEAKER_10 |
transcript.pyannote[404].start |
3331.91534375 |
transcript.pyannote[404].end |
3332.48909375 |
transcript.pyannote[405].speaker |
SPEAKER_10 |
transcript.pyannote[405].start |
3332.92784375 |
transcript.pyannote[405].end |
3339.32346875 |
transcript.pyannote[406].speaker |
SPEAKER_10 |
transcript.pyannote[406].start |
3339.89721875 |
transcript.pyannote[406].end |
3348.03096875 |
transcript.pyannote[407].speaker |
SPEAKER_20 |
transcript.pyannote[407].start |
3348.23346875 |
transcript.pyannote[407].end |
3368.75346875 |
transcript.pyannote[408].speaker |
SPEAKER_10 |
transcript.pyannote[408].start |
3350.88284375 |
transcript.pyannote[408].end |
3351.70971875 |
transcript.pyannote[409].speaker |
SPEAKER_10 |
transcript.pyannote[409].start |
3369.46221875 |
transcript.pyannote[409].end |
3372.17909375 |
transcript.pyannote[410].speaker |
SPEAKER_10 |
transcript.pyannote[410].start |
3372.46596875 |
transcript.pyannote[410].end |
3374.59221875 |
transcript.pyannote[411].speaker |
SPEAKER_10 |
transcript.pyannote[411].start |
3374.79471875 |
transcript.pyannote[411].end |
3378.32159375 |
transcript.pyannote[412].speaker |
SPEAKER_10 |
transcript.pyannote[412].start |
3378.81096875 |
transcript.pyannote[412].end |
3379.53659375 |
transcript.pyannote[413].speaker |
SPEAKER_10 |
transcript.pyannote[413].start |
3380.34659375 |
transcript.pyannote[413].end |
3381.03846875 |
transcript.pyannote[414].speaker |
SPEAKER_10 |
transcript.pyannote[414].start |
3381.20721875 |
transcript.pyannote[414].end |
3397.23846875 |
transcript.pyannote[415].speaker |
SPEAKER_10 |
transcript.pyannote[415].start |
3397.67721875 |
transcript.pyannote[415].end |
3399.36471875 |
transcript.pyannote[416].speaker |
SPEAKER_10 |
transcript.pyannote[416].start |
3399.68534375 |
transcript.pyannote[416].end |
3400.66409375 |
transcript.pyannote[417].speaker |
SPEAKER_10 |
transcript.pyannote[417].start |
3401.20409375 |
transcript.pyannote[417].end |
3403.88721875 |
transcript.pyannote[418].speaker |
SPEAKER_10 |
transcript.pyannote[418].start |
3404.03909375 |
transcript.pyannote[418].end |
3404.05596875 |
transcript.pyannote[419].speaker |
SPEAKER_10 |
transcript.pyannote[419].start |
3404.07284375 |
transcript.pyannote[419].end |
3407.02596875 |
transcript.pyannote[420].speaker |
SPEAKER_10 |
transcript.pyannote[420].start |
3407.36346875 |
transcript.pyannote[420].end |
3408.34221875 |
transcript.pyannote[421].speaker |
SPEAKER_10 |
transcript.pyannote[421].start |
3408.73034375 |
transcript.pyannote[421].end |
3418.56846875 |
transcript.pyannote[422].speaker |
SPEAKER_10 |
transcript.pyannote[422].start |
3419.22659375 |
transcript.pyannote[422].end |
3421.21784375 |
transcript.pyannote[423].speaker |
SPEAKER_10 |
transcript.pyannote[423].start |
3421.40346875 |
transcript.pyannote[423].end |
3424.50846875 |
transcript.pyannote[424].speaker |
SPEAKER_10 |
transcript.pyannote[424].start |
3425.08221875 |
transcript.pyannote[424].end |
3428.96346875 |
transcript.pyannote[425].speaker |
SPEAKER_20 |
transcript.pyannote[425].start |
3429.31784375 |
transcript.pyannote[425].end |
3442.32846875 |
transcript.pyannote[426].speaker |
SPEAKER_10 |
transcript.pyannote[426].start |
3441.19784375 |
transcript.pyannote[426].end |
3446.19284375 |
transcript.pyannote[427].speaker |
SPEAKER_20 |
transcript.pyannote[427].start |
3444.26909375 |
transcript.pyannote[427].end |
3452.70659375 |
transcript.pyannote[428].speaker |
SPEAKER_10 |
transcript.pyannote[428].start |
3449.87159375 |
transcript.pyannote[428].end |
3450.19221875 |
transcript.pyannote[429].speaker |
SPEAKER_10 |
transcript.pyannote[429].start |
3451.12034375 |
transcript.pyannote[429].end |
3451.57596875 |
transcript.pyannote[430].speaker |
SPEAKER_10 |
transcript.pyannote[430].start |
3452.36909375 |
transcript.pyannote[430].end |
3455.03534375 |
transcript.pyannote[431].speaker |
SPEAKER_10 |
transcript.pyannote[431].start |
3455.44034375 |
transcript.pyannote[431].end |
3457.19534375 |
transcript.pyannote[432].speaker |
SPEAKER_21 |
transcript.pyannote[432].start |
3457.19534375 |
transcript.pyannote[432].end |
3457.22909375 |
transcript.pyannote[433].speaker |
SPEAKER_20 |
transcript.pyannote[433].start |
3457.22909375 |
transcript.pyannote[433].end |
3457.97159375 |
transcript.pyannote[434].speaker |
SPEAKER_21 |
transcript.pyannote[434].start |
3457.97159375 |
transcript.pyannote[434].end |
3458.05596875 |
transcript.pyannote[435].speaker |
SPEAKER_20 |
transcript.pyannote[435].start |
3458.05596875 |
transcript.pyannote[435].end |
3458.12346875 |
transcript.pyannote[436].speaker |
SPEAKER_06 |
transcript.pyannote[436].start |
3460.19909375 |
transcript.pyannote[436].end |
3464.09721875 |
transcript.pyannote[437].speaker |
SPEAKER_06 |
transcript.pyannote[437].start |
3464.63721875 |
transcript.pyannote[437].end |
3470.25659375 |
transcript.pyannote[438].speaker |
SPEAKER_04 |
transcript.pyannote[438].start |
3478.72784375 |
transcript.pyannote[438].end |
3481.95096875 |
transcript.pyannote[439].speaker |
SPEAKER_20 |
transcript.pyannote[439].start |
3485.34284375 |
transcript.pyannote[439].end |
3485.86596875 |
transcript.pyannote[440].speaker |
SPEAKER_28 |
transcript.pyannote[440].start |
3486.00096875 |
transcript.pyannote[440].end |
3486.37221875 |
transcript.pyannote[441].speaker |
SPEAKER_28 |
transcript.pyannote[441].start |
3487.26659375 |
transcript.pyannote[441].end |
3490.81034375 |
transcript.pyannote[442].speaker |
SPEAKER_28 |
transcript.pyannote[442].start |
3491.18159375 |
transcript.pyannote[442].end |
3542.29596875 |
transcript.pyannote[443].speaker |
SPEAKER_28 |
transcript.pyannote[443].start |
3542.43096875 |
transcript.pyannote[443].end |
3551.96534375 |
transcript.pyannote[444].speaker |
SPEAKER_28 |
transcript.pyannote[444].start |
3552.25221875 |
transcript.pyannote[444].end |
3554.42909375 |
transcript.pyannote[445].speaker |
SPEAKER_22 |
transcript.pyannote[445].start |
3554.61471875 |
transcript.pyannote[445].end |
3554.91846875 |
transcript.pyannote[446].speaker |
SPEAKER_28 |
transcript.pyannote[446].start |
3554.91846875 |
transcript.pyannote[446].end |
3572.82284375 |
transcript.pyannote[447].speaker |
SPEAKER_28 |
transcript.pyannote[447].start |
3573.10971875 |
transcript.pyannote[447].end |
3577.48034375 |
transcript.pyannote[448].speaker |
SPEAKER_28 |
transcript.pyannote[448].start |
3578.32409375 |
transcript.pyannote[448].end |
3587.85846875 |
transcript.pyannote[449].speaker |
SPEAKER_28 |
transcript.pyannote[449].start |
3588.06096875 |
transcript.pyannote[449].end |
3592.76909375 |
transcript.pyannote[450].speaker |
SPEAKER_20 |
transcript.pyannote[450].start |
3592.92096875 |
transcript.pyannote[450].end |
3625.08471875 |
transcript.pyannote[451].speaker |
SPEAKER_20 |
transcript.pyannote[451].start |
3625.59096875 |
transcript.pyannote[451].end |
3650.80221875 |
transcript.pyannote[452].speaker |
SPEAKER_20 |
transcript.pyannote[452].start |
3650.95409375 |
transcript.pyannote[452].end |
3672.11534375 |
transcript.pyannote[453].speaker |
SPEAKER_20 |
transcript.pyannote[453].start |
3672.16596875 |
transcript.pyannote[453].end |
3679.23659375 |
transcript.pyannote[454].speaker |
SPEAKER_28 |
transcript.pyannote[454].start |
3679.23659375 |
transcript.pyannote[454].end |
3716.14221875 |
transcript.pyannote[455].speaker |
SPEAKER_28 |
transcript.pyannote[455].start |
3716.17596875 |
transcript.pyannote[455].end |
3718.15034375 |
transcript.pyannote[456].speaker |
SPEAKER_28 |
transcript.pyannote[456].start |
3718.84221875 |
transcript.pyannote[456].end |
3720.27659375 |
transcript.pyannote[457].speaker |
SPEAKER_20 |
transcript.pyannote[457].start |
3720.69846875 |
transcript.pyannote[457].end |
3724.29284375 |
transcript.pyannote[458].speaker |
SPEAKER_20 |
transcript.pyannote[458].start |
3724.93409375 |
transcript.pyannote[458].end |
3743.83409375 |
transcript.pyannote[459].speaker |
SPEAKER_20 |
transcript.pyannote[459].start |
3744.08721875 |
transcript.pyannote[459].end |
3745.52159375 |
transcript.pyannote[460].speaker |
SPEAKER_20 |
transcript.pyannote[460].start |
3745.72409375 |
transcript.pyannote[460].end |
3756.37221875 |
transcript.pyannote[461].speaker |
SPEAKER_20 |
transcript.pyannote[461].start |
3756.77721875 |
transcript.pyannote[461].end |
3782.20784375 |
transcript.pyannote[462].speaker |
SPEAKER_28 |
transcript.pyannote[462].start |
3782.42721875 |
transcript.pyannote[462].end |
3783.23721875 |
transcript.pyannote[463].speaker |
SPEAKER_28 |
transcript.pyannote[463].start |
3783.91221875 |
transcript.pyannote[463].end |
3784.72221875 |
transcript.pyannote[464].speaker |
SPEAKER_20 |
transcript.pyannote[464].start |
3784.97534375 |
transcript.pyannote[464].end |
3785.02596875 |
transcript.pyannote[465].speaker |
SPEAKER_28 |
transcript.pyannote[465].start |
3785.02596875 |
transcript.pyannote[465].end |
3785.05971875 |
transcript.pyannote[466].speaker |
SPEAKER_20 |
transcript.pyannote[466].start |
3785.05971875 |
transcript.pyannote[466].end |
3791.59034375 |
transcript.pyannote[467].speaker |
SPEAKER_28 |
transcript.pyannote[467].start |
3785.11034375 |
transcript.pyannote[467].end |
3785.73471875 |
transcript.pyannote[468].speaker |
SPEAKER_28 |
transcript.pyannote[468].start |
3791.59034375 |
transcript.pyannote[468].end |
3791.62409375 |
transcript.pyannote[469].speaker |
SPEAKER_28 |
transcript.pyannote[469].start |
3792.50159375 |
transcript.pyannote[469].end |
3793.36221875 |
transcript.pyannote[470].speaker |
SPEAKER_28 |
transcript.pyannote[470].start |
3794.20596875 |
transcript.pyannote[470].end |
3835.48221875 |
transcript.pyannote[471].speaker |
SPEAKER_20 |
transcript.pyannote[471].start |
3835.66784375 |
transcript.pyannote[471].end |
3855.12471875 |
transcript.pyannote[472].speaker |
SPEAKER_28 |
transcript.pyannote[472].start |
3855.12471875 |
transcript.pyannote[472].end |
3855.25971875 |
transcript.pyannote[473].speaker |
SPEAKER_20 |
transcript.pyannote[473].start |
3855.25971875 |
transcript.pyannote[473].end |
3855.36096875 |
transcript.pyannote[474].speaker |
SPEAKER_28 |
transcript.pyannote[474].start |
3855.36096875 |
transcript.pyannote[474].end |
3855.37784375 |
transcript.pyannote[475].speaker |
SPEAKER_28 |
transcript.pyannote[475].start |
3855.58034375 |
transcript.pyannote[475].end |
3860.32221875 |
transcript.pyannote[476].speaker |
SPEAKER_28 |
transcript.pyannote[476].start |
3860.64284375 |
transcript.pyannote[476].end |
3873.13034375 |
transcript.pyannote[477].speaker |
SPEAKER_28 |
transcript.pyannote[477].start |
3874.12596875 |
transcript.pyannote[477].end |
3886.74846875 |
transcript.pyannote[478].speaker |
SPEAKER_20 |
transcript.pyannote[478].start |
3887.30534375 |
transcript.pyannote[478].end |
3908.21346875 |
transcript.pyannote[479].speaker |
SPEAKER_28 |
transcript.pyannote[479].start |
3907.48784375 |
transcript.pyannote[479].end |
3918.38909375 |
transcript.pyannote[480].speaker |
SPEAKER_20 |
transcript.pyannote[480].start |
3919.09784375 |
transcript.pyannote[480].end |
3928.83471875 |
transcript.pyannote[481].speaker |
SPEAKER_20 |
transcript.pyannote[481].start |
3929.10471875 |
transcript.pyannote[481].end |
3931.85534375 |
transcript.pyannote[482].speaker |
SPEAKER_28 |
transcript.pyannote[482].start |
3931.85534375 |
transcript.pyannote[482].end |
3931.92284375 |
transcript.pyannote[483].speaker |
SPEAKER_28 |
transcript.pyannote[483].start |
3931.93971875 |
transcript.pyannote[483].end |
3932.54721875 |
transcript.pyannote[484].speaker |
SPEAKER_28 |
transcript.pyannote[484].start |
3932.71596875 |
transcript.pyannote[484].end |
3932.96909375 |
transcript.pyannote[485].speaker |
SPEAKER_20 |
transcript.pyannote[485].start |
3932.96909375 |
transcript.pyannote[485].end |
3933.03659375 |
transcript.pyannote[486].speaker |
SPEAKER_28 |
transcript.pyannote[486].start |
3933.03659375 |
transcript.pyannote[486].end |
3956.91471875 |
transcript.pyannote[487].speaker |
SPEAKER_20 |
transcript.pyannote[487].start |
3957.50534375 |
transcript.pyannote[487].end |
3964.79534375 |
transcript.pyannote[488].speaker |
SPEAKER_20 |
transcript.pyannote[488].start |
3965.16659375 |
transcript.pyannote[488].end |
3965.67284375 |
transcript.pyannote[489].speaker |
SPEAKER_20 |
transcript.pyannote[489].start |
3965.79096875 |
transcript.pyannote[489].end |
3968.49096875 |
transcript.pyannote[490].speaker |
SPEAKER_20 |
transcript.pyannote[490].start |
3968.72721875 |
transcript.pyannote[490].end |
3976.89471875 |
transcript.pyannote[491].speaker |
SPEAKER_20 |
transcript.pyannote[491].start |
3977.11409375 |
transcript.pyannote[491].end |
3979.13909375 |
transcript.pyannote[492].speaker |
SPEAKER_28 |
transcript.pyannote[492].start |
3977.95784375 |
transcript.pyannote[492].end |
3978.12659375 |
transcript.pyannote[493].speaker |
SPEAKER_28 |
transcript.pyannote[493].start |
3979.27409375 |
transcript.pyannote[493].end |
3988.23471875 |
transcript.pyannote[494].speaker |
SPEAKER_20 |
transcript.pyannote[494].start |
3987.42471875 |
transcript.pyannote[494].end |
3991.54221875 |
transcript.pyannote[495].speaker |
SPEAKER_28 |
transcript.pyannote[495].start |
3991.00221875 |
transcript.pyannote[495].end |
3992.58846875 |
transcript.pyannote[496].speaker |
SPEAKER_20 |
transcript.pyannote[496].start |
3991.79534375 |
transcript.pyannote[496].end |
3992.97659375 |
transcript.pyannote[497].speaker |
SPEAKER_06 |
transcript.pyannote[497].start |
3993.73596875 |
transcript.pyannote[497].end |
3996.48659375 |
transcript.pyannote[498].speaker |
SPEAKER_06 |
transcript.pyannote[498].start |
3997.44846875 |
transcript.pyannote[498].end |
4000.68846875 |
transcript.pyannote[499].speaker |
SPEAKER_23 |
transcript.pyannote[499].start |
4010.98221875 |
transcript.pyannote[499].end |
4011.82596875 |
transcript.pyannote[500].speaker |
SPEAKER_06 |
transcript.pyannote[500].start |
4013.36159375 |
transcript.pyannote[500].end |
4014.28971875 |
transcript.pyannote[501].speaker |
SPEAKER_23 |
transcript.pyannote[501].start |
4017.69846875 |
transcript.pyannote[501].end |
4018.18784375 |
transcript.pyannote[502].speaker |
SPEAKER_23 |
transcript.pyannote[502].start |
4019.79096875 |
transcript.pyannote[502].end |
4020.49971875 |
transcript.pyannote[503].speaker |
SPEAKER_12 |
transcript.pyannote[503].start |
4037.76284375 |
transcript.pyannote[503].end |
4038.38721875 |
transcript.pyannote[504].speaker |
SPEAKER_12 |
transcript.pyannote[504].start |
4039.41659375 |
transcript.pyannote[504].end |
4040.20971875 |
transcript.pyannote[505].speaker |
SPEAKER_12 |
transcript.pyannote[505].start |
4041.96471875 |
transcript.pyannote[505].end |
4042.11659375 |
transcript.pyannote[506].speaker |
SPEAKER_12 |
transcript.pyannote[506].start |
4042.13346875 |
transcript.pyannote[506].end |
4042.21784375 |
transcript.pyannote[507].speaker |
SPEAKER_23 |
transcript.pyannote[507].start |
4043.33159375 |
transcript.pyannote[507].end |
4048.10721875 |
transcript.pyannote[508].speaker |
SPEAKER_23 |
transcript.pyannote[508].start |
4049.13659375 |
transcript.pyannote[508].end |
4051.75221875 |
transcript.pyannote[509].speaker |
SPEAKER_23 |
transcript.pyannote[509].start |
4051.93784375 |
transcript.pyannote[509].end |
4053.72659375 |
transcript.pyannote[510].speaker |
SPEAKER_23 |
transcript.pyannote[510].start |
4054.26659375 |
transcript.pyannote[510].end |
4073.06534375 |
transcript.pyannote[511].speaker |
SPEAKER_20 |
transcript.pyannote[511].start |
4073.63909375 |
transcript.pyannote[511].end |
4102.19159375 |
transcript.pyannote[512].speaker |
SPEAKER_21 |
transcript.pyannote[512].start |
4089.36659375 |
transcript.pyannote[512].end |
4089.80534375 |
transcript.pyannote[513].speaker |
SPEAKER_23 |
transcript.pyannote[513].start |
4101.02721875 |
transcript.pyannote[513].end |
4104.60471875 |
transcript.pyannote[514].speaker |
SPEAKER_23 |
transcript.pyannote[514].start |
4104.79034375 |
transcript.pyannote[514].end |
4107.01784375 |
transcript.pyannote[515].speaker |
SPEAKER_20 |
transcript.pyannote[515].start |
4107.01784375 |
transcript.pyannote[515].end |
4107.03471875 |
transcript.pyannote[516].speaker |
SPEAKER_23 |
transcript.pyannote[516].start |
4107.03471875 |
transcript.pyannote[516].end |
4107.06846875 |
transcript.pyannote[517].speaker |
SPEAKER_20 |
transcript.pyannote[517].start |
4107.06846875 |
transcript.pyannote[517].end |
4107.10221875 |
transcript.pyannote[518].speaker |
SPEAKER_23 |
transcript.pyannote[518].start |
4107.10221875 |
transcript.pyannote[518].end |
4107.18659375 |
transcript.pyannote[519].speaker |
SPEAKER_20 |
transcript.pyannote[519].start |
4107.45659375 |
transcript.pyannote[519].end |
4110.44346875 |
transcript.pyannote[520].speaker |
SPEAKER_23 |
transcript.pyannote[520].start |
4110.44346875 |
transcript.pyannote[520].end |
4130.05221875 |
transcript.pyannote[521].speaker |
SPEAKER_20 |
transcript.pyannote[521].start |
4111.13534375 |
transcript.pyannote[521].end |
4111.32096875 |
transcript.pyannote[522].speaker |
SPEAKER_20 |
transcript.pyannote[522].start |
4118.15534375 |
transcript.pyannote[522].end |
4118.17221875 |
transcript.pyannote[523].speaker |
SPEAKER_21 |
transcript.pyannote[523].start |
4120.33221875 |
transcript.pyannote[523].end |
4120.41659375 |
transcript.pyannote[524].speaker |
SPEAKER_20 |
transcript.pyannote[524].start |
4120.41659375 |
transcript.pyannote[524].end |
4120.97346875 |
transcript.pyannote[525].speaker |
SPEAKER_21 |
transcript.pyannote[525].start |
4120.97346875 |
transcript.pyannote[525].end |
4121.15909375 |
transcript.pyannote[526].speaker |
SPEAKER_21 |
transcript.pyannote[526].start |
4124.19659375 |
transcript.pyannote[526].end |
4124.26409375 |
transcript.pyannote[527].speaker |
SPEAKER_20 |
transcript.pyannote[527].start |
4124.26409375 |
transcript.pyannote[527].end |
4124.50034375 |
transcript.pyannote[528].speaker |
SPEAKER_21 |
transcript.pyannote[528].start |
4124.50034375 |
transcript.pyannote[528].end |
4124.51721875 |
transcript.pyannote[529].speaker |
SPEAKER_20 |
transcript.pyannote[529].start |
4130.05221875 |
transcript.pyannote[529].end |
4142.21909375 |
transcript.pyannote[530].speaker |
SPEAKER_23 |
transcript.pyannote[530].start |
4139.36721875 |
transcript.pyannote[530].end |
4139.60346875 |
transcript.pyannote[531].speaker |
SPEAKER_23 |
transcript.pyannote[531].start |
4141.76346875 |
transcript.pyannote[531].end |
4146.35346875 |
transcript.pyannote[532].speaker |
SPEAKER_20 |
transcript.pyannote[532].start |
4145.13846875 |
transcript.pyannote[532].end |
4145.25659375 |
transcript.pyannote[533].speaker |
SPEAKER_20 |
transcript.pyannote[533].start |
4145.62784375 |
transcript.pyannote[533].end |
4150.72409375 |
transcript.pyannote[534].speaker |
SPEAKER_23 |
transcript.pyannote[534].start |
4147.46721875 |
transcript.pyannote[534].end |
4147.90596875 |
transcript.pyannote[535].speaker |
SPEAKER_23 |
transcript.pyannote[535].start |
4150.33596875 |
transcript.pyannote[535].end |
4150.82534375 |
transcript.pyannote[536].speaker |
SPEAKER_20 |
transcript.pyannote[536].start |
4150.74096875 |
transcript.pyannote[536].end |
4150.77471875 |
transcript.pyannote[537].speaker |
SPEAKER_20 |
transcript.pyannote[537].start |
4150.82534375 |
transcript.pyannote[537].end |
4151.12909375 |
transcript.pyannote[538].speaker |
SPEAKER_23 |
transcript.pyannote[538].start |
4151.28096875 |
transcript.pyannote[538].end |
4154.33534375 |
transcript.pyannote[539].speaker |
SPEAKER_23 |
transcript.pyannote[539].start |
4154.55471875 |
transcript.pyannote[539].end |
4155.76971875 |
transcript.pyannote[540].speaker |
SPEAKER_20 |
transcript.pyannote[540].start |
4154.60534375 |
transcript.pyannote[540].end |
4155.19596875 |
transcript.pyannote[541].speaker |
SPEAKER_20 |
transcript.pyannote[541].start |
4155.76971875 |
transcript.pyannote[541].end |
4159.31346875 |
transcript.pyannote[542].speaker |
SPEAKER_23 |
transcript.pyannote[542].start |
4157.54159375 |
transcript.pyannote[542].end |
4161.20346875 |
transcript.pyannote[543].speaker |
SPEAKER_20 |
transcript.pyannote[543].start |
4161.20346875 |
transcript.pyannote[543].end |
4161.30471875 |
transcript.pyannote[544].speaker |
SPEAKER_22 |
transcript.pyannote[544].start |
4161.30471875 |
transcript.pyannote[544].end |
4161.32159375 |
transcript.pyannote[545].speaker |
SPEAKER_23 |
transcript.pyannote[545].start |
4161.32159375 |
transcript.pyannote[545].end |
4163.09346875 |
transcript.pyannote[546].speaker |
SPEAKER_23 |
transcript.pyannote[546].start |
4163.41409375 |
transcript.pyannote[546].end |
4165.32096875 |
transcript.pyannote[547].speaker |
SPEAKER_22 |
transcript.pyannote[547].start |
4165.25346875 |
transcript.pyannote[547].end |
4165.55721875 |
transcript.pyannote[548].speaker |
SPEAKER_23 |
transcript.pyannote[548].start |
4165.45596875 |
transcript.pyannote[548].end |
4169.48909375 |
transcript.pyannote[549].speaker |
SPEAKER_23 |
transcript.pyannote[549].start |
4169.89409375 |
transcript.pyannote[549].end |
4171.76721875 |
transcript.pyannote[550].speaker |
SPEAKER_23 |
transcript.pyannote[550].start |
4172.08784375 |
transcript.pyannote[550].end |
4175.37846875 |
transcript.pyannote[551].speaker |
SPEAKER_20 |
transcript.pyannote[551].start |
4175.37846875 |
transcript.pyannote[551].end |
4178.12909375 |
transcript.pyannote[552].speaker |
SPEAKER_23 |
transcript.pyannote[552].start |
4177.31909375 |
transcript.pyannote[552].end |
4183.37721875 |
transcript.pyannote[553].speaker |
SPEAKER_20 |
transcript.pyannote[553].start |
4181.33534375 |
transcript.pyannote[553].end |
4181.62221875 |
transcript.pyannote[554].speaker |
SPEAKER_23 |
transcript.pyannote[554].start |
4183.49534375 |
transcript.pyannote[554].end |
4186.65096875 |
transcript.pyannote[555].speaker |
SPEAKER_20 |
transcript.pyannote[555].start |
4186.34721875 |
transcript.pyannote[555].end |
4186.51596875 |
transcript.pyannote[556].speaker |
SPEAKER_20 |
transcript.pyannote[556].start |
4187.30909375 |
transcript.pyannote[556].end |
4200.01596875 |
transcript.pyannote[557].speaker |
SPEAKER_21 |
transcript.pyannote[557].start |
4194.90284375 |
transcript.pyannote[557].end |
4195.18971875 |
transcript.pyannote[558].speaker |
SPEAKER_23 |
transcript.pyannote[558].start |
4198.81784375 |
transcript.pyannote[558].end |
4211.06909375 |
transcript.pyannote[559].speaker |
SPEAKER_20 |
transcript.pyannote[559].start |
4205.63534375 |
transcript.pyannote[559].end |
4205.83784375 |
transcript.pyannote[560].speaker |
SPEAKER_23 |
transcript.pyannote[560].start |
4211.37284375 |
transcript.pyannote[560].end |
4214.15721875 |
transcript.pyannote[561].speaker |
SPEAKER_12 |
transcript.pyannote[561].start |
4212.77346875 |
transcript.pyannote[561].end |
4214.56221875 |
transcript.pyannote[562].speaker |
SPEAKER_23 |
transcript.pyannote[562].start |
4214.56221875 |
transcript.pyannote[562].end |
4217.63346875 |
transcript.pyannote[563].speaker |
SPEAKER_23 |
transcript.pyannote[563].start |
4219.47284375 |
transcript.pyannote[563].end |
4219.81034375 |
transcript.pyannote[564].speaker |
SPEAKER_23 |
transcript.pyannote[564].start |
4221.07596875 |
transcript.pyannote[564].end |
4222.59471875 |
transcript.pyannote[565].speaker |
SPEAKER_23 |
transcript.pyannote[565].start |
4222.89846875 |
transcript.pyannote[565].end |
4227.60659375 |
transcript.pyannote[566].speaker |
SPEAKER_23 |
transcript.pyannote[566].start |
4228.21409375 |
transcript.pyannote[566].end |
4232.29784375 |
transcript.pyannote[567].speaker |
SPEAKER_23 |
transcript.pyannote[567].start |
4233.02346875 |
transcript.pyannote[567].end |
4233.04034375 |
transcript.pyannote[568].speaker |
SPEAKER_20 |
transcript.pyannote[568].start |
4233.04034375 |
transcript.pyannote[568].end |
4247.56971875 |
transcript.pyannote[569].speaker |
SPEAKER_23 |
transcript.pyannote[569].start |
4246.30409375 |
transcript.pyannote[569].end |
4246.62471875 |
transcript.pyannote[570].speaker |
SPEAKER_23 |
transcript.pyannote[570].start |
4246.87784375 |
transcript.pyannote[570].end |
4247.58659375 |
transcript.pyannote[571].speaker |
SPEAKER_20 |
transcript.pyannote[571].start |
4247.58659375 |
transcript.pyannote[571].end |
4247.68784375 |
transcript.pyannote[572].speaker |
SPEAKER_23 |
transcript.pyannote[572].start |
4247.68784375 |
transcript.pyannote[572].end |
4268.07284375 |
transcript.pyannote[573].speaker |
SPEAKER_23 |
transcript.pyannote[573].start |
4268.27534375 |
transcript.pyannote[573].end |
4271.76846875 |
transcript.pyannote[574].speaker |
SPEAKER_20 |
transcript.pyannote[574].start |
4268.29221875 |
transcript.pyannote[574].end |
4268.89971875 |
transcript.pyannote[575].speaker |
SPEAKER_20 |
transcript.pyannote[575].start |
4271.14409375 |
transcript.pyannote[575].end |
4274.36721875 |
transcript.pyannote[576].speaker |
SPEAKER_23 |
transcript.pyannote[576].start |
4273.54034375 |
transcript.pyannote[576].end |
4277.84346875 |
transcript.pyannote[577].speaker |
SPEAKER_20 |
transcript.pyannote[577].start |
4276.24034375 |
transcript.pyannote[577].end |
4283.26034375 |
transcript.pyannote[578].speaker |
SPEAKER_23 |
transcript.pyannote[578].start |
4282.73721875 |
transcript.pyannote[578].end |
4285.84221875 |
transcript.pyannote[579].speaker |
SPEAKER_23 |
transcript.pyannote[579].start |
4286.07846875 |
transcript.pyannote[579].end |
4290.66846875 |
transcript.pyannote[580].speaker |
SPEAKER_20 |
transcript.pyannote[580].start |
4286.17971875 |
transcript.pyannote[580].end |
4286.92221875 |
transcript.pyannote[581].speaker |
SPEAKER_23 |
transcript.pyannote[581].start |
4291.59659375 |
transcript.pyannote[581].end |
4293.95909375 |
transcript.pyannote[582].speaker |
SPEAKER_20 |
transcript.pyannote[582].start |
4292.60909375 |
transcript.pyannote[582].end |
4294.65096875 |
transcript.pyannote[583].speaker |
SPEAKER_23 |
transcript.pyannote[583].start |
4294.34721875 |
transcript.pyannote[583].end |
4299.67971875 |
transcript.pyannote[584].speaker |
SPEAKER_20 |
transcript.pyannote[584].start |
4298.85284375 |
transcript.pyannote[584].end |
4303.03784375 |
transcript.pyannote[585].speaker |
SPEAKER_23 |
transcript.pyannote[585].start |
4302.51471875 |
transcript.pyannote[585].end |
4307.23971875 |
transcript.pyannote[586].speaker |
SPEAKER_20 |
transcript.pyannote[586].start |
4305.50159375 |
transcript.pyannote[586].end |
4314.73221875 |
transcript.pyannote[587].speaker |
SPEAKER_23 |
transcript.pyannote[587].start |
4312.53846875 |
transcript.pyannote[587].end |
4316.87534375 |
transcript.pyannote[588].speaker |
SPEAKER_20 |
transcript.pyannote[588].start |
4316.41971875 |
transcript.pyannote[588].end |
4316.82471875 |
transcript.pyannote[589].speaker |
SPEAKER_20 |
transcript.pyannote[589].start |
4316.87534375 |
transcript.pyannote[589].end |
4321.17846875 |
transcript.pyannote[590].speaker |
SPEAKER_23 |
transcript.pyannote[590].start |
4319.64284375 |
transcript.pyannote[590].end |
4321.56659375 |
transcript.pyannote[591].speaker |
SPEAKER_23 |
transcript.pyannote[591].start |
4322.95034375 |
transcript.pyannote[591].end |
4332.53534375 |
transcript.pyannote[592].speaker |
SPEAKER_22 |
transcript.pyannote[592].start |
4326.05534375 |
transcript.pyannote[592].end |
4326.19034375 |
transcript.pyannote[593].speaker |
SPEAKER_23 |
transcript.pyannote[593].start |
4332.99096875 |
transcript.pyannote[593].end |
4336.18034375 |
transcript.pyannote[594].speaker |
SPEAKER_20 |
transcript.pyannote[594].start |
4335.26909375 |
transcript.pyannote[594].end |
4336.97346875 |
transcript.pyannote[595].speaker |
SPEAKER_23 |
transcript.pyannote[595].start |
4336.97346875 |
transcript.pyannote[595].end |
4338.34034375 |
transcript.pyannote[596].speaker |
SPEAKER_20 |
transcript.pyannote[596].start |
4336.99034375 |
transcript.pyannote[596].end |
4337.04096875 |
transcript.pyannote[597].speaker |
SPEAKER_23 |
transcript.pyannote[597].start |
4339.08284375 |
transcript.pyannote[597].end |
4342.49159375 |
transcript.pyannote[598].speaker |
SPEAKER_20 |
transcript.pyannote[598].start |
4342.49159375 |
transcript.pyannote[598].end |
4342.82909375 |
transcript.pyannote[599].speaker |
SPEAKER_23 |
transcript.pyannote[599].start |
4342.82909375 |
transcript.pyannote[599].end |
4344.80346875 |
transcript.pyannote[600].speaker |
SPEAKER_20 |
transcript.pyannote[600].start |
4342.89659375 |
transcript.pyannote[600].end |
4346.06909375 |
transcript.pyannote[601].speaker |
SPEAKER_23 |
transcript.pyannote[601].start |
4346.06909375 |
transcript.pyannote[601].end |
4346.18721875 |
transcript.pyannote[602].speaker |
SPEAKER_20 |
transcript.pyannote[602].start |
4346.18721875 |
transcript.pyannote[602].end |
4346.30534375 |
transcript.pyannote[603].speaker |
SPEAKER_23 |
transcript.pyannote[603].start |
4346.30534375 |
transcript.pyannote[603].end |
4346.40659375 |
transcript.pyannote[604].speaker |
SPEAKER_20 |
transcript.pyannote[604].start |
4346.40659375 |
transcript.pyannote[604].end |
4346.89596875 |
transcript.pyannote[605].speaker |
SPEAKER_23 |
transcript.pyannote[605].start |
4346.89596875 |
transcript.pyannote[605].end |
4353.40971875 |
transcript.pyannote[606].speaker |
SPEAKER_20 |
transcript.pyannote[606].start |
4347.03096875 |
transcript.pyannote[606].end |
4349.15721875 |
transcript.pyannote[607].speaker |
SPEAKER_23 |
transcript.pyannote[607].start |
4354.20284375 |
transcript.pyannote[607].end |
4355.08034375 |
transcript.pyannote[608].speaker |
SPEAKER_23 |
transcript.pyannote[608].start |
4355.55284375 |
transcript.pyannote[608].end |
4358.35409375 |
transcript.pyannote[609].speaker |
SPEAKER_23 |
transcript.pyannote[609].start |
4358.80971875 |
transcript.pyannote[609].end |
4359.53534375 |
transcript.pyannote[610].speaker |
SPEAKER_23 |
transcript.pyannote[610].start |
4359.85596875 |
transcript.pyannote[610].end |
4360.14284375 |
transcript.pyannote[611].speaker |
SPEAKER_23 |
transcript.pyannote[611].start |
4360.66596875 |
transcript.pyannote[611].end |
4363.48409375 |
transcript.pyannote[612].speaker |
SPEAKER_22 |
transcript.pyannote[612].start |
4363.83846875 |
transcript.pyannote[612].end |
4364.19284375 |
transcript.pyannote[613].speaker |
SPEAKER_23 |
transcript.pyannote[613].start |
4364.42909375 |
transcript.pyannote[613].end |
4365.62721875 |
transcript.pyannote[614].speaker |
SPEAKER_23 |
transcript.pyannote[614].start |
4365.77909375 |
transcript.pyannote[614].end |
4373.81159375 |
transcript.pyannote[615].speaker |
SPEAKER_20 |
transcript.pyannote[615].start |
4373.81159375 |
transcript.pyannote[615].end |
4373.94659375 |
transcript.pyannote[616].speaker |
SPEAKER_23 |
transcript.pyannote[616].start |
4373.94659375 |
transcript.pyannote[616].end |
4373.96346875 |
transcript.pyannote[617].speaker |
SPEAKER_20 |
transcript.pyannote[617].start |
4373.96346875 |
transcript.pyannote[617].end |
4375.63409375 |
transcript.pyannote[618].speaker |
SPEAKER_20 |
transcript.pyannote[618].start |
4376.19096875 |
transcript.pyannote[618].end |
4376.91659375 |
transcript.pyannote[619].speaker |
SPEAKER_23 |
transcript.pyannote[619].start |
4376.91659375 |
transcript.pyannote[619].end |
4379.07659375 |
transcript.pyannote[620].speaker |
SPEAKER_20 |
transcript.pyannote[620].start |
4377.18659375 |
transcript.pyannote[620].end |
4384.45971875 |
transcript.pyannote[621].speaker |
SPEAKER_23 |
transcript.pyannote[621].start |
4379.98784375 |
transcript.pyannote[621].end |
4385.94471875 |
transcript.pyannote[622].speaker |
SPEAKER_23 |
transcript.pyannote[622].start |
4386.34971875 |
transcript.pyannote[622].end |
4393.03221875 |
transcript.pyannote[623].speaker |
SPEAKER_20 |
transcript.pyannote[623].start |
4393.03221875 |
transcript.pyannote[623].end |
4401.31784375 |
transcript.pyannote[624].speaker |
SPEAKER_23 |
transcript.pyannote[624].start |
4394.61846875 |
transcript.pyannote[624].end |
4395.04034375 |
transcript.pyannote[625].speaker |
SPEAKER_23 |
transcript.pyannote[625].start |
4395.83346875 |
transcript.pyannote[625].end |
4396.57596875 |
transcript.pyannote[626].speaker |
SPEAKER_23 |
transcript.pyannote[626].start |
4397.67284375 |
transcript.pyannote[626].end |
4399.32659375 |
transcript.pyannote[627].speaker |
SPEAKER_23 |
transcript.pyannote[627].start |
4401.04784375 |
transcript.pyannote[627].end |
4404.43971875 |
transcript.pyannote[628].speaker |
SPEAKER_20 |
transcript.pyannote[628].start |
4404.16971875 |
transcript.pyannote[628].end |
4404.55784375 |
transcript.pyannote[629].speaker |
SPEAKER_23 |
transcript.pyannote[629].start |
4404.47346875 |
transcript.pyannote[629].end |
4407.91596875 |
transcript.pyannote[630].speaker |
SPEAKER_20 |
transcript.pyannote[630].start |
4407.91596875 |
transcript.pyannote[630].end |
4416.77534375 |
transcript.pyannote[631].speaker |
SPEAKER_23 |
transcript.pyannote[631].start |
4415.29034375 |
transcript.pyannote[631].end |
4424.23409375 |
transcript.pyannote[632].speaker |
SPEAKER_20 |
transcript.pyannote[632].start |
4417.90596875 |
transcript.pyannote[632].end |
4419.45846875 |
transcript.pyannote[633].speaker |
SPEAKER_23 |
transcript.pyannote[633].start |
4424.63909375 |
transcript.pyannote[633].end |
4427.30534375 |
transcript.pyannote[634].speaker |
SPEAKER_20 |
transcript.pyannote[634].start |
4426.68096875 |
transcript.pyannote[634].end |
4429.66784375 |
transcript.pyannote[635].speaker |
SPEAKER_23 |
transcript.pyannote[635].start |
4427.33909375 |
transcript.pyannote[635].end |
4427.37284375 |
transcript.pyannote[636].speaker |
SPEAKER_23 |
transcript.pyannote[636].start |
4429.66784375 |
transcript.pyannote[636].end |
4429.70159375 |
transcript.pyannote[637].speaker |
SPEAKER_20 |
transcript.pyannote[637].start |
4429.70159375 |
transcript.pyannote[637].end |
4429.83659375 |
transcript.pyannote[638].speaker |
SPEAKER_23 |
transcript.pyannote[638].start |
4429.83659375 |
transcript.pyannote[638].end |
4430.03909375 |
transcript.pyannote[639].speaker |
SPEAKER_20 |
transcript.pyannote[639].start |
4430.03909375 |
transcript.pyannote[639].end |
4430.05596875 |
transcript.pyannote[640].speaker |
SPEAKER_23 |
transcript.pyannote[640].start |
4430.05596875 |
transcript.pyannote[640].end |
4430.14034375 |
transcript.pyannote[641].speaker |
SPEAKER_20 |
transcript.pyannote[641].start |
4430.14034375 |
transcript.pyannote[641].end |
4430.17409375 |
transcript.pyannote[642].speaker |
SPEAKER_23 |
transcript.pyannote[642].start |
4430.17409375 |
transcript.pyannote[642].end |
4430.20784375 |
transcript.pyannote[643].speaker |
SPEAKER_20 |
transcript.pyannote[643].start |
4430.20784375 |
transcript.pyannote[643].end |
4434.37596875 |
transcript.pyannote[644].speaker |
SPEAKER_23 |
transcript.pyannote[644].start |
4430.24159375 |
transcript.pyannote[644].end |
4431.08534375 |
transcript.pyannote[645].speaker |
SPEAKER_23 |
transcript.pyannote[645].start |
4432.82346875 |
transcript.pyannote[645].end |
4442.15534375 |
transcript.pyannote[646].speaker |
SPEAKER_20 |
transcript.pyannote[646].start |
4439.77596875 |
transcript.pyannote[646].end |
4440.23159375 |
transcript.pyannote[647].speaker |
SPEAKER_23 |
transcript.pyannote[647].start |
4442.49284375 |
transcript.pyannote[647].end |
4446.03659375 |
transcript.pyannote[648].speaker |
SPEAKER_23 |
transcript.pyannote[648].start |
4446.27284375 |
transcript.pyannote[648].end |
4447.06596875 |
transcript.pyannote[649].speaker |
SPEAKER_20 |
transcript.pyannote[649].start |
4447.25159375 |
transcript.pyannote[649].end |
4453.59659375 |
transcript.pyannote[650].speaker |
SPEAKER_23 |
transcript.pyannote[650].start |
4451.95971875 |
transcript.pyannote[650].end |
4453.56284375 |
transcript.pyannote[651].speaker |
SPEAKER_23 |
transcript.pyannote[651].start |
4453.59659375 |
transcript.pyannote[651].end |
4453.84971875 |
transcript.pyannote[652].speaker |
SPEAKER_20 |
transcript.pyannote[652].start |
4453.84971875 |
transcript.pyannote[652].end |
4454.01846875 |
transcript.pyannote[653].speaker |
SPEAKER_23 |
transcript.pyannote[653].start |
4454.01846875 |
transcript.pyannote[653].end |
4454.03534375 |
transcript.pyannote[654].speaker |
SPEAKER_21 |
transcript.pyannote[654].start |
4454.03534375 |
transcript.pyannote[654].end |
4454.11971875 |
transcript.pyannote[655].speaker |
SPEAKER_23 |
transcript.pyannote[655].start |
4454.11971875 |
transcript.pyannote[655].end |
4458.10221875 |
transcript.pyannote[656].speaker |
SPEAKER_20 |
transcript.pyannote[656].start |
4454.64284375 |
transcript.pyannote[656].end |
4454.96346875 |
transcript.pyannote[657].speaker |
SPEAKER_21 |
transcript.pyannote[657].start |
4454.96346875 |
transcript.pyannote[657].end |
4455.28409375 |
transcript.pyannote[658].speaker |
SPEAKER_20 |
transcript.pyannote[658].start |
4455.28409375 |
transcript.pyannote[658].end |
4455.30096875 |
transcript.pyannote[659].speaker |
SPEAKER_21 |
transcript.pyannote[659].start |
4455.30096875 |
transcript.pyannote[659].end |
4455.33471875 |
transcript.pyannote[660].speaker |
SPEAKER_20 |
transcript.pyannote[660].start |
4455.33471875 |
transcript.pyannote[660].end |
4455.46971875 |
transcript.pyannote[661].speaker |
SPEAKER_21 |
transcript.pyannote[661].start |
4455.46971875 |
transcript.pyannote[661].end |
4455.57096875 |
transcript.pyannote[662].speaker |
SPEAKER_20 |
transcript.pyannote[662].start |
4455.57096875 |
transcript.pyannote[662].end |
4455.67221875 |
transcript.pyannote[663].speaker |
SPEAKER_21 |
transcript.pyannote[663].start |
4455.67221875 |
transcript.pyannote[663].end |
4455.94221875 |
transcript.pyannote[664].speaker |
SPEAKER_20 |
transcript.pyannote[664].start |
4455.94221875 |
transcript.pyannote[664].end |
4455.97596875 |
transcript.pyannote[665].speaker |
SPEAKER_23 |
transcript.pyannote[665].start |
4458.32159375 |
transcript.pyannote[665].end |
4465.17284375 |
transcript.pyannote[666].speaker |
SPEAKER_20 |
transcript.pyannote[666].start |
4465.17284375 |
transcript.pyannote[666].end |
4465.24034375 |
transcript.pyannote[667].speaker |
SPEAKER_20 |
transcript.pyannote[667].start |
4465.39221875 |
transcript.pyannote[667].end |
4465.40909375 |
transcript.pyannote[668].speaker |
SPEAKER_23 |
transcript.pyannote[668].start |
4465.40909375 |
transcript.pyannote[668].end |
4466.97846875 |
transcript.pyannote[669].speaker |
SPEAKER_20 |
transcript.pyannote[669].start |
4466.97846875 |
transcript.pyannote[669].end |
4473.20534375 |
transcript.pyannote[670].speaker |
SPEAKER_23 |
transcript.pyannote[670].start |
4473.20534375 |
transcript.pyannote[670].end |
4474.36971875 |
transcript.pyannote[671].speaker |
SPEAKER_23 |
transcript.pyannote[671].start |
4474.52159375 |
transcript.pyannote[671].end |
4479.55034375 |
transcript.pyannote[672].speaker |
SPEAKER_20 |
transcript.pyannote[672].start |
4478.87534375 |
transcript.pyannote[672].end |
4479.02721875 |
transcript.pyannote[673].speaker |
SPEAKER_21 |
transcript.pyannote[673].start |
4479.02721875 |
transcript.pyannote[673].end |
4479.55034375 |
transcript.pyannote[674].speaker |
SPEAKER_20 |
transcript.pyannote[674].start |
4479.55034375 |
transcript.pyannote[674].end |
4479.97221875 |
transcript.pyannote[675].speaker |
SPEAKER_21 |
transcript.pyannote[675].start |
4479.97221875 |
transcript.pyannote[675].end |
4480.25909375 |
transcript.pyannote[676].speaker |
SPEAKER_23 |
transcript.pyannote[676].start |
4480.25909375 |
transcript.pyannote[676].end |
4488.89909375 |
transcript.pyannote[677].speaker |
SPEAKER_21 |
transcript.pyannote[677].start |
4480.27596875 |
transcript.pyannote[677].end |
4480.64721875 |
transcript.pyannote[678].speaker |
SPEAKER_23 |
transcript.pyannote[678].start |
4489.30409375 |
transcript.pyannote[678].end |
4496.25659375 |
transcript.pyannote[679].speaker |
SPEAKER_20 |
transcript.pyannote[679].start |
4495.63221875 |
transcript.pyannote[679].end |
4513.63784375 |
transcript.pyannote[680].speaker |
SPEAKER_21 |
transcript.pyannote[680].start |
4501.36971875 |
transcript.pyannote[680].end |
4501.80846875 |
transcript.pyannote[681].speaker |
SPEAKER_00 |
transcript.pyannote[681].start |
4502.14596875 |
transcript.pyannote[681].end |
4502.16284375 |
transcript.pyannote[682].speaker |
SPEAKER_21 |
transcript.pyannote[682].start |
4502.16284375 |
transcript.pyannote[682].end |
4503.22596875 |
transcript.pyannote[683].speaker |
SPEAKER_23 |
transcript.pyannote[683].start |
4512.57471875 |
transcript.pyannote[683].end |
4514.46471875 |
transcript.pyannote[684].speaker |
SPEAKER_23 |
transcript.pyannote[684].start |
4515.17346875 |
transcript.pyannote[684].end |
4518.48096875 |
transcript.pyannote[685].speaker |
SPEAKER_20 |
transcript.pyannote[685].start |
4519.44284375 |
transcript.pyannote[685].end |
4519.79721875 |
transcript.pyannote[686].speaker |
SPEAKER_20 |
transcript.pyannote[686].start |
4520.11784375 |
transcript.pyannote[686].end |
4522.02471875 |
transcript.pyannote[687].speaker |
SPEAKER_23 |
transcript.pyannote[687].start |
4522.02471875 |
transcript.pyannote[687].end |
4524.64034375 |
transcript.pyannote[688].speaker |
SPEAKER_20 |
transcript.pyannote[688].start |
4522.05846875 |
transcript.pyannote[688].end |
4522.81784375 |
transcript.pyannote[689].speaker |
SPEAKER_23 |
transcript.pyannote[689].start |
4526.32784375 |
transcript.pyannote[689].end |
4526.78346875 |
transcript.pyannote[690].speaker |
SPEAKER_23 |
transcript.pyannote[690].start |
4528.42034375 |
transcript.pyannote[690].end |
4529.17971875 |
transcript.pyannote[691].speaker |
SPEAKER_23 |
transcript.pyannote[691].start |
4530.78284375 |
transcript.pyannote[691].end |
4531.30596875 |
transcript.pyannote[692].speaker |
SPEAKER_23 |
transcript.pyannote[692].start |
4532.01471875 |
transcript.pyannote[692].end |
4533.21284375 |
transcript.pyannote[693].speaker |
SPEAKER_23 |
transcript.pyannote[693].start |
4533.76971875 |
transcript.pyannote[693].end |
4535.35596875 |
transcript.pyannote[694].speaker |
SPEAKER_23 |
transcript.pyannote[694].start |
4535.62596875 |
transcript.pyannote[694].end |
4541.46471875 |
transcript.pyannote[695].speaker |
SPEAKER_23 |
transcript.pyannote[695].start |
4541.86971875 |
transcript.pyannote[695].end |
4550.42534375 |
transcript.pyannote[696].speaker |
SPEAKER_21 |
transcript.pyannote[696].start |
4549.09221875 |
transcript.pyannote[696].end |
4549.31159375 |
transcript.pyannote[697].speaker |
SPEAKER_06 |
transcript.pyannote[697].start |
4553.32784375 |
transcript.pyannote[697].end |
4555.72409375 |
transcript.pyannote[698].speaker |
SPEAKER_06 |
transcript.pyannote[698].start |
4556.53409375 |
transcript.pyannote[698].end |
4559.60534375 |
transcript.pyannote[699].speaker |
SPEAKER_18 |
transcript.pyannote[699].start |
4568.39721875 |
transcript.pyannote[699].end |
4569.96659375 |
transcript.pyannote[700].speaker |
SPEAKER_06 |
transcript.pyannote[700].start |
4570.97909375 |
transcript.pyannote[700].end |
4571.75534375 |
transcript.pyannote[701].speaker |
SPEAKER_18 |
transcript.pyannote[701].start |
4575.48471875 |
transcript.pyannote[701].end |
4578.33659375 |
transcript.pyannote[702].speaker |
SPEAKER_18 |
transcript.pyannote[702].start |
4579.18034375 |
transcript.pyannote[702].end |
4581.42471875 |
transcript.pyannote[703].speaker |
SPEAKER_18 |
transcript.pyannote[703].start |
4581.76221875 |
transcript.pyannote[703].end |
4583.82096875 |
transcript.pyannote[704].speaker |
SPEAKER_18 |
transcript.pyannote[704].start |
4583.83784375 |
transcript.pyannote[704].end |
4583.85471875 |
transcript.pyannote[705].speaker |
SPEAKER_22 |
transcript.pyannote[705].start |
4583.85471875 |
transcript.pyannote[705].end |
4584.12471875 |
transcript.pyannote[706].speaker |
SPEAKER_18 |
transcript.pyannote[706].start |
4584.12471875 |
transcript.pyannote[706].end |
4593.06846875 |
transcript.pyannote[707].speaker |
SPEAKER_18 |
transcript.pyannote[707].start |
4597.10159375 |
transcript.pyannote[707].end |
4598.09721875 |
transcript.pyannote[708].speaker |
SPEAKER_18 |
transcript.pyannote[708].start |
4601.42159375 |
transcript.pyannote[708].end |
4602.18096875 |
transcript.pyannote[709].speaker |
SPEAKER_20 |
transcript.pyannote[709].start |
4602.36659375 |
transcript.pyannote[709].end |
4603.34534375 |
transcript.pyannote[710].speaker |
SPEAKER_18 |
transcript.pyannote[710].start |
4603.39596875 |
transcript.pyannote[710].end |
4603.76721875 |
transcript.pyannote[711].speaker |
SPEAKER_18 |
transcript.pyannote[711].start |
4604.93159375 |
transcript.pyannote[711].end |
4606.93971875 |
transcript.pyannote[712].speaker |
SPEAKER_18 |
transcript.pyannote[712].start |
4608.03659375 |
transcript.pyannote[712].end |
4608.61034375 |
transcript.pyannote[713].speaker |
SPEAKER_18 |
transcript.pyannote[713].start |
4609.38659375 |
transcript.pyannote[713].end |
4610.95596875 |
transcript.pyannote[714].speaker |
SPEAKER_18 |
transcript.pyannote[714].start |
4611.49596875 |
transcript.pyannote[714].end |
4614.28034375 |
transcript.pyannote[715].speaker |
SPEAKER_20 |
transcript.pyannote[715].start |
4614.95534375 |
transcript.pyannote[715].end |
4624.37159375 |
transcript.pyannote[716].speaker |
SPEAKER_18 |
transcript.pyannote[716].start |
4623.47721875 |
transcript.pyannote[716].end |
4624.47284375 |
transcript.pyannote[717].speaker |
SPEAKER_20 |
transcript.pyannote[717].start |
4625.08034375 |
transcript.pyannote[717].end |
4627.25721875 |
transcript.pyannote[718].speaker |
SPEAKER_18 |
transcript.pyannote[718].start |
4626.51471875 |
transcript.pyannote[718].end |
4628.23596875 |
transcript.pyannote[719].speaker |
SPEAKER_18 |
transcript.pyannote[719].start |
4628.37096875 |
transcript.pyannote[719].end |
4632.84284375 |
transcript.pyannote[720].speaker |
SPEAKER_20 |
transcript.pyannote[720].start |
4634.39534375 |
transcript.pyannote[720].end |
4637.83784375 |
transcript.pyannote[721].speaker |
SPEAKER_18 |
transcript.pyannote[721].start |
4638.49596875 |
transcript.pyannote[721].end |
4638.51284375 |
transcript.pyannote[722].speaker |
SPEAKER_20 |
transcript.pyannote[722].start |
4638.51284375 |
transcript.pyannote[722].end |
4638.52971875 |
transcript.pyannote[723].speaker |
SPEAKER_18 |
transcript.pyannote[723].start |
4638.52971875 |
transcript.pyannote[723].end |
4638.98534375 |
transcript.pyannote[724].speaker |
SPEAKER_20 |
transcript.pyannote[724].start |
4638.98534375 |
transcript.pyannote[724].end |
4639.32284375 |
transcript.pyannote[725].speaker |
SPEAKER_20 |
transcript.pyannote[725].start |
4639.49159375 |
transcript.pyannote[725].end |
4643.33909375 |
transcript.pyannote[726].speaker |
SPEAKER_18 |
transcript.pyannote[726].start |
4643.22096875 |
transcript.pyannote[726].end |
4644.40221875 |
transcript.pyannote[727].speaker |
SPEAKER_18 |
transcript.pyannote[727].start |
4644.75659375 |
transcript.pyannote[727].end |
4645.53284375 |
transcript.pyannote[728].speaker |
SPEAKER_20 |
transcript.pyannote[728].start |
4645.68471875 |
transcript.pyannote[728].end |
4655.59034375 |
transcript.pyannote[729].speaker |
SPEAKER_18 |
transcript.pyannote[729].start |
4654.64534375 |
transcript.pyannote[729].end |
4660.28159375 |
transcript.pyannote[730].speaker |
SPEAKER_18 |
transcript.pyannote[730].start |
4660.66971875 |
transcript.pyannote[730].end |
4664.46659375 |
transcript.pyannote[731].speaker |
SPEAKER_18 |
transcript.pyannote[731].start |
4664.97284375 |
transcript.pyannote[731].end |
4666.76159375 |
transcript.pyannote[732].speaker |
SPEAKER_20 |
transcript.pyannote[732].start |
4667.53784375 |
transcript.pyannote[732].end |
4672.95471875 |
transcript.pyannote[733].speaker |
SPEAKER_18 |
transcript.pyannote[733].start |
4671.31784375 |
transcript.pyannote[733].end |
4675.40159375 |
transcript.pyannote[734].speaker |
SPEAKER_20 |
transcript.pyannote[734].start |
4674.62534375 |
transcript.pyannote[734].end |
4683.16409375 |
transcript.pyannote[735].speaker |
SPEAKER_18 |
transcript.pyannote[735].start |
4682.03346875 |
transcript.pyannote[735].end |
4686.16784375 |
transcript.pyannote[736].speaker |
SPEAKER_18 |
transcript.pyannote[736].start |
4686.57284375 |
transcript.pyannote[736].end |
4688.27721875 |
transcript.pyannote[737].speaker |
SPEAKER_20 |
transcript.pyannote[737].start |
4686.65721875 |
transcript.pyannote[737].end |
4695.46596875 |
transcript.pyannote[738].speaker |
SPEAKER_18 |
transcript.pyannote[738].start |
4695.28034375 |
transcript.pyannote[738].end |
4697.37284375 |
transcript.pyannote[739].speaker |
SPEAKER_20 |
transcript.pyannote[739].start |
4698.43596875 |
transcript.pyannote[739].end |
4705.25346875 |
transcript.pyannote[740].speaker |
SPEAKER_18 |
transcript.pyannote[740].start |
4703.65034375 |
transcript.pyannote[740].end |
4704.03846875 |
transcript.pyannote[741].speaker |
SPEAKER_18 |
transcript.pyannote[741].start |
4704.61221875 |
transcript.pyannote[741].end |
4706.18159375 |
transcript.pyannote[742].speaker |
SPEAKER_18 |
transcript.pyannote[742].start |
4706.72159375 |
transcript.pyannote[742].end |
4707.48096875 |
transcript.pyannote[743].speaker |
SPEAKER_18 |
transcript.pyannote[743].start |
4707.70034375 |
transcript.pyannote[743].end |
4713.48846875 |
transcript.pyannote[744].speaker |
SPEAKER_20 |
transcript.pyannote[744].start |
4712.77971875 |
transcript.pyannote[744].end |
4716.50909375 |
transcript.pyannote[745].speaker |
SPEAKER_18 |
transcript.pyannote[745].start |
4715.88471875 |
transcript.pyannote[745].end |
4723.41096875 |
transcript.pyannote[746].speaker |
SPEAKER_20 |
transcript.pyannote[746].start |
4724.00159375 |
transcript.pyannote[746].end |
4726.49909375 |
transcript.pyannote[747].speaker |
SPEAKER_18 |
transcript.pyannote[747].start |
4724.30534375 |
transcript.pyannote[747].end |
4725.30096875 |
transcript.pyannote[748].speaker |
SPEAKER_18 |
transcript.pyannote[748].start |
4725.65534375 |
transcript.pyannote[748].end |
4726.33034375 |
transcript.pyannote[749].speaker |
SPEAKER_18 |
transcript.pyannote[749].start |
4726.41471875 |
transcript.pyannote[749].end |
4728.74346875 |
transcript.pyannote[750].speaker |
SPEAKER_20 |
transcript.pyannote[750].start |
4728.74346875 |
transcript.pyannote[750].end |
4729.03034375 |
transcript.pyannote[751].speaker |
SPEAKER_18 |
transcript.pyannote[751].start |
4731.94971875 |
transcript.pyannote[751].end |
4746.66471875 |
transcript.pyannote[752].speaker |
SPEAKER_19 |
transcript.pyannote[752].start |
4737.09659375 |
transcript.pyannote[752].end |
4737.18096875 |
transcript.pyannote[753].speaker |
SPEAKER_18 |
transcript.pyannote[753].start |
4747.00221875 |
transcript.pyannote[753].end |
4758.22409375 |
transcript.pyannote[754].speaker |
SPEAKER_18 |
transcript.pyannote[754].start |
4758.81471875 |
transcript.pyannote[754].end |
4760.02971875 |
transcript.pyannote[755].speaker |
SPEAKER_18 |
transcript.pyannote[755].start |
4760.46846875 |
transcript.pyannote[755].end |
4762.51034375 |
transcript.pyannote[756].speaker |
SPEAKER_20 |
transcript.pyannote[756].start |
4763.37096875 |
transcript.pyannote[756].end |
4767.42096875 |
transcript.pyannote[757].speaker |
SPEAKER_20 |
transcript.pyannote[757].start |
4768.66971875 |
transcript.pyannote[757].end |
4769.96909375 |
transcript.pyannote[758].speaker |
SPEAKER_15 |
transcript.pyannote[758].start |
4769.96909375 |
transcript.pyannote[758].end |
4779.03096875 |
transcript.pyannote[759].speaker |
SPEAKER_18 |
transcript.pyannote[759].start |
4779.03096875 |
transcript.pyannote[759].end |
4784.83596875 |
transcript.pyannote[760].speaker |
SPEAKER_15 |
transcript.pyannote[760].start |
4780.80284375 |
transcript.pyannote[760].end |
4781.51159375 |
transcript.pyannote[761].speaker |
SPEAKER_15 |
transcript.pyannote[761].start |
4782.43971875 |
transcript.pyannote[761].end |
4782.64221875 |
transcript.pyannote[762].speaker |
SPEAKER_18 |
transcript.pyannote[762].start |
4785.27471875 |
transcript.pyannote[762].end |
4789.81409375 |
transcript.pyannote[763].speaker |
SPEAKER_15 |
transcript.pyannote[763].start |
4790.26971875 |
transcript.pyannote[763].end |
4791.92346875 |
transcript.pyannote[764].speaker |
SPEAKER_15 |
transcript.pyannote[764].start |
4792.78409375 |
transcript.pyannote[764].end |
4796.93534375 |
transcript.pyannote[765].speaker |
SPEAKER_18 |
transcript.pyannote[765].start |
4797.12096875 |
transcript.pyannote[765].end |
4816.02096875 |
transcript.pyannote[766].speaker |
SPEAKER_18 |
transcript.pyannote[766].start |
4816.44284375 |
transcript.pyannote[766].end |
4824.64409375 |
transcript.pyannote[767].speaker |
SPEAKER_18 |
transcript.pyannote[767].start |
4824.72846875 |
transcript.pyannote[767].end |
4828.79534375 |
transcript.pyannote[768].speaker |
SPEAKER_15 |
transcript.pyannote[768].start |
4828.79534375 |
transcript.pyannote[768].end |
4855.03596875 |
transcript.pyannote[769].speaker |
SPEAKER_22 |
transcript.pyannote[769].start |
4852.16721875 |
transcript.pyannote[769].end |
4852.75784375 |
transcript.pyannote[770].speaker |
SPEAKER_15 |
transcript.pyannote[770].start |
4855.54221875 |
transcript.pyannote[770].end |
4866.62909375 |
transcript.pyannote[771].speaker |
SPEAKER_15 |
transcript.pyannote[771].start |
4867.40534375 |
transcript.pyannote[771].end |
4867.42221875 |
transcript.pyannote[772].speaker |
SPEAKER_18 |
transcript.pyannote[772].start |
4867.42221875 |
transcript.pyannote[772].end |
4881.56346875 |
transcript.pyannote[773].speaker |
SPEAKER_22 |
transcript.pyannote[773].start |
4882.03596875 |
transcript.pyannote[773].end |
4884.21284375 |
transcript.pyannote[774].speaker |
SPEAKER_18 |
transcript.pyannote[774].start |
4882.17096875 |
transcript.pyannote[774].end |
4884.70221875 |
transcript.pyannote[775].speaker |
SPEAKER_18 |
transcript.pyannote[775].start |
4885.37721875 |
transcript.pyannote[775].end |
4891.46909375 |
transcript.pyannote[776].speaker |
SPEAKER_20 |
transcript.pyannote[776].start |
4892.36346875 |
transcript.pyannote[776].end |
4901.42534375 |
transcript.pyannote[777].speaker |
SPEAKER_20 |
transcript.pyannote[777].start |
4901.98221875 |
transcript.pyannote[777].end |
4902.92721875 |
transcript.pyannote[778].speaker |
SPEAKER_18 |
transcript.pyannote[778].start |
4902.20159375 |
transcript.pyannote[778].end |
4911.49971875 |
transcript.pyannote[779].speaker |
SPEAKER_18 |
transcript.pyannote[779].start |
4912.07346875 |
transcript.pyannote[779].end |
4912.41096875 |
transcript.pyannote[780].speaker |
SPEAKER_18 |
transcript.pyannote[780].start |
4913.57534375 |
transcript.pyannote[780].end |
4914.72284375 |
transcript.pyannote[781].speaker |
SPEAKER_18 |
transcript.pyannote[781].start |
4915.92096875 |
transcript.pyannote[781].end |
4939.49534375 |
transcript.pyannote[782].speaker |
SPEAKER_20 |
transcript.pyannote[782].start |
4939.69784375 |
transcript.pyannote[782].end |
4949.29971875 |
transcript.pyannote[783].speaker |
SPEAKER_18 |
transcript.pyannote[783].start |
4949.29971875 |
transcript.pyannote[783].end |
4968.26721875 |
transcript.pyannote[784].speaker |
SPEAKER_18 |
transcript.pyannote[784].start |
4968.70596875 |
transcript.pyannote[784].end |
4975.00034375 |
transcript.pyannote[785].speaker |
SPEAKER_20 |
transcript.pyannote[785].start |
4972.03034375 |
transcript.pyannote[785].end |
4972.13159375 |
transcript.pyannote[786].speaker |
SPEAKER_20 |
transcript.pyannote[786].start |
4974.78096875 |
transcript.pyannote[786].end |
4980.97409375 |
transcript.pyannote[787].speaker |
SPEAKER_18 |
transcript.pyannote[787].start |
4980.06284375 |
transcript.pyannote[787].end |
4983.57284375 |
transcript.pyannote[788].speaker |
SPEAKER_20 |
transcript.pyannote[788].start |
4983.84284375 |
transcript.pyannote[788].end |
4997.05596875 |
transcript.pyannote[789].speaker |
SPEAKER_18 |
transcript.pyannote[789].start |
4996.14471875 |
transcript.pyannote[789].end |
4998.74346875 |
transcript.pyannote[790].speaker |
SPEAKER_18 |
transcript.pyannote[790].start |
4999.09784375 |
transcript.pyannote[790].end |
4999.78971875 |
transcript.pyannote[791].speaker |
SPEAKER_18 |
transcript.pyannote[791].start |
5000.97096875 |
transcript.pyannote[791].end |
5011.46721875 |
transcript.pyannote[792].speaker |
SPEAKER_20 |
transcript.pyannote[792].start |
5011.97346875 |
transcript.pyannote[792].end |
5018.03159375 |
transcript.pyannote[793].speaker |
SPEAKER_18 |
transcript.pyannote[793].start |
5017.37346875 |
transcript.pyannote[793].end |
5039.42909375 |
transcript.pyannote[794].speaker |
SPEAKER_20 |
transcript.pyannote[794].start |
5020.56284375 |
transcript.pyannote[794].end |
5020.64721875 |
transcript.pyannote[795].speaker |
SPEAKER_22 |
transcript.pyannote[795].start |
5020.64721875 |
transcript.pyannote[795].end |
5020.66409375 |
transcript.pyannote[796].speaker |
SPEAKER_20 |
transcript.pyannote[796].start |
5039.54721875 |
transcript.pyannote[796].end |
5051.35971875 |
transcript.pyannote[797].speaker |
SPEAKER_18 |
transcript.pyannote[797].start |
5051.35971875 |
transcript.pyannote[797].end |
5056.89471875 |
transcript.pyannote[798].speaker |
SPEAKER_20 |
transcript.pyannote[798].start |
5056.86096875 |
transcript.pyannote[798].end |
5057.19846875 |
transcript.pyannote[799].speaker |
SPEAKER_18 |
transcript.pyannote[799].start |
5057.13096875 |
transcript.pyannote[799].end |
5059.44284375 |
transcript.pyannote[800].speaker |
SPEAKER_20 |
transcript.pyannote[800].start |
5059.44284375 |
transcript.pyannote[800].end |
5061.58596875 |
transcript.pyannote[801].speaker |
SPEAKER_18 |
transcript.pyannote[801].start |
5059.81409375 |
transcript.pyannote[801].end |
5060.48909375 |
transcript.pyannote[802].speaker |
SPEAKER_18 |
transcript.pyannote[802].start |
5060.67471875 |
transcript.pyannote[802].end |
5063.49284375 |
transcript.pyannote[803].speaker |
SPEAKER_18 |
transcript.pyannote[803].start |
5063.93159375 |
transcript.pyannote[803].end |
5066.02409375 |
transcript.pyannote[804].speaker |
SPEAKER_18 |
transcript.pyannote[804].start |
5066.04096875 |
transcript.pyannote[804].end |
5070.07409375 |
transcript.pyannote[805].speaker |
SPEAKER_20 |
transcript.pyannote[805].start |
5070.54659375 |
transcript.pyannote[805].end |
5075.23784375 |
transcript.pyannote[806].speaker |
SPEAKER_18 |
transcript.pyannote[806].start |
5075.23784375 |
transcript.pyannote[806].end |
5091.82596875 |
transcript.pyannote[807].speaker |
SPEAKER_17 |
transcript.pyannote[807].start |
5084.41784375 |
transcript.pyannote[807].end |
5084.70471875 |
transcript.pyannote[808].speaker |
SPEAKER_20 |
transcript.pyannote[808].start |
5090.94846875 |
transcript.pyannote[808].end |
5093.53034375 |
transcript.pyannote[809].speaker |
SPEAKER_18 |
transcript.pyannote[809].start |
5093.47971875 |
transcript.pyannote[809].end |
5108.02596875 |
transcript.pyannote[810].speaker |
SPEAKER_21 |
transcript.pyannote[810].start |
5100.97221875 |
transcript.pyannote[810].end |
5101.09034375 |
transcript.pyannote[811].speaker |
SPEAKER_21 |
transcript.pyannote[811].start |
5103.18284375 |
transcript.pyannote[811].end |
5105.41034375 |
transcript.pyannote[812].speaker |
SPEAKER_21 |
transcript.pyannote[812].start |
5105.47784375 |
transcript.pyannote[812].end |
5105.51159375 |
transcript.pyannote[813].speaker |
SPEAKER_21 |
transcript.pyannote[813].start |
5106.67596875 |
transcript.pyannote[813].end |
5107.14846875 |
transcript.pyannote[814].speaker |
SPEAKER_18 |
transcript.pyannote[814].start |
5108.80221875 |
transcript.pyannote[814].end |
5109.40971875 |
transcript.pyannote[815].speaker |
SPEAKER_06 |
transcript.pyannote[815].start |
5111.02971875 |
transcript.pyannote[815].end |
5114.25284375 |
transcript.pyannote[816].speaker |
SPEAKER_06 |
transcript.pyannote[816].start |
5114.97846875 |
transcript.pyannote[816].end |
5117.99909375 |
transcript.pyannote[817].speaker |
SPEAKER_17 |
transcript.pyannote[817].start |
5129.64284375 |
transcript.pyannote[817].end |
5130.38534375 |
transcript.pyannote[818].speaker |
SPEAKER_06 |
transcript.pyannote[818].start |
5131.54971875 |
transcript.pyannote[818].end |
5132.29221875 |
transcript.pyannote[819].speaker |
SPEAKER_16 |
transcript.pyannote[819].start |
5136.02159375 |
transcript.pyannote[819].end |
5137.33784375 |
transcript.pyannote[820].speaker |
SPEAKER_16 |
transcript.pyannote[820].start |
5137.84409375 |
transcript.pyannote[820].end |
5139.63284375 |
transcript.pyannote[821].speaker |
SPEAKER_16 |
transcript.pyannote[821].start |
5140.08846875 |
transcript.pyannote[821].end |
5156.59221875 |
transcript.pyannote[822].speaker |
SPEAKER_20 |
transcript.pyannote[822].start |
5156.79471875 |
transcript.pyannote[822].end |
5157.33471875 |
transcript.pyannote[823].speaker |
SPEAKER_20 |
transcript.pyannote[823].start |
5157.73971875 |
transcript.pyannote[823].end |
5161.50284375 |
transcript.pyannote[824].speaker |
SPEAKER_16 |
transcript.pyannote[824].start |
5161.45221875 |
transcript.pyannote[824].end |
5170.05846875 |
transcript.pyannote[825].speaker |
SPEAKER_16 |
transcript.pyannote[825].start |
5170.27784375 |
transcript.pyannote[825].end |
5174.74971875 |
transcript.pyannote[826].speaker |
SPEAKER_16 |
transcript.pyannote[826].start |
5174.98596875 |
transcript.pyannote[826].end |
5176.23471875 |
transcript.pyannote[827].speaker |
SPEAKER_16 |
transcript.pyannote[827].start |
5176.48784375 |
transcript.pyannote[827].end |
5184.79034375 |
transcript.pyannote[828].speaker |
SPEAKER_20 |
transcript.pyannote[828].start |
5185.14471875 |
transcript.pyannote[828].end |
5191.99596875 |
transcript.pyannote[829].speaker |
SPEAKER_16 |
transcript.pyannote[829].start |
5191.18596875 |
transcript.pyannote[829].end |
5193.97034375 |
transcript.pyannote[830].speaker |
SPEAKER_20 |
transcript.pyannote[830].start |
5193.70034375 |
transcript.pyannote[830].end |
5196.51846875 |
transcript.pyannote[831].speaker |
SPEAKER_16 |
transcript.pyannote[831].start |
5196.23159375 |
transcript.pyannote[831].end |
5200.61909375 |
transcript.pyannote[832].speaker |
SPEAKER_20 |
transcript.pyannote[832].start |
5200.14659375 |
transcript.pyannote[832].end |
5203.42034375 |
transcript.pyannote[833].speaker |
SPEAKER_16 |
transcript.pyannote[833].start |
5202.72846875 |
transcript.pyannote[833].end |
5208.55034375 |
transcript.pyannote[834].speaker |
SPEAKER_16 |
transcript.pyannote[834].start |
5209.12409375 |
transcript.pyannote[834].end |
5211.36846875 |
transcript.pyannote[835].speaker |
SPEAKER_16 |
transcript.pyannote[835].start |
5211.52034375 |
transcript.pyannote[835].end |
5246.01284375 |
transcript.pyannote[836].speaker |
SPEAKER_22 |
transcript.pyannote[836].start |
5219.56971875 |
transcript.pyannote[836].end |
5219.70471875 |
transcript.pyannote[837].speaker |
SPEAKER_22 |
transcript.pyannote[837].start |
5220.36284375 |
transcript.pyannote[837].end |
5222.42159375 |
transcript.pyannote[838].speaker |
SPEAKER_16 |
transcript.pyannote[838].start |
5246.35034375 |
transcript.pyannote[838].end |
5263.52909375 |
transcript.pyannote[839].speaker |
SPEAKER_20 |
transcript.pyannote[839].start |
5263.78221875 |
transcript.pyannote[839].end |
5264.99721875 |
transcript.pyannote[840].speaker |
SPEAKER_16 |
transcript.pyannote[840].start |
5264.99721875 |
transcript.pyannote[840].end |
5270.16096875 |
transcript.pyannote[841].speaker |
SPEAKER_16 |
transcript.pyannote[841].start |
5270.65034375 |
transcript.pyannote[841].end |
5276.60721875 |
transcript.pyannote[842].speaker |
SPEAKER_16 |
transcript.pyannote[842].start |
5276.82659375 |
transcript.pyannote[842].end |
5287.67721875 |
transcript.pyannote[843].speaker |
SPEAKER_16 |
transcript.pyannote[843].start |
5288.47034375 |
transcript.pyannote[843].end |
5297.71784375 |
transcript.pyannote[844].speaker |
SPEAKER_16 |
transcript.pyannote[844].start |
5298.10596875 |
transcript.pyannote[844].end |
5298.84846875 |
transcript.pyannote[845].speaker |
SPEAKER_16 |
transcript.pyannote[845].start |
5298.91596875 |
transcript.pyannote[845].end |
5302.52721875 |
transcript.pyannote[846].speaker |
SPEAKER_16 |
transcript.pyannote[846].start |
5302.64534375 |
transcript.pyannote[846].end |
5304.36659375 |
transcript.pyannote[847].speaker |
SPEAKER_16 |
transcript.pyannote[847].start |
5304.61971875 |
transcript.pyannote[847].end |
5305.64909375 |
transcript.pyannote[848].speaker |
SPEAKER_16 |
transcript.pyannote[848].start |
5306.20596875 |
transcript.pyannote[848].end |
5307.21846875 |
transcript.pyannote[849].speaker |
SPEAKER_16 |
transcript.pyannote[849].start |
5307.50534375 |
transcript.pyannote[849].end |
5308.60221875 |
transcript.pyannote[850].speaker |
SPEAKER_16 |
transcript.pyannote[850].start |
5309.05784375 |
transcript.pyannote[850].end |
5309.54721875 |
transcript.pyannote[851].speaker |
SPEAKER_16 |
transcript.pyannote[851].start |
5309.88471875 |
transcript.pyannote[851].end |
5312.98971875 |
transcript.pyannote[852].speaker |
SPEAKER_16 |
transcript.pyannote[852].start |
5313.46221875 |
transcript.pyannote[852].end |
5314.05284375 |
transcript.pyannote[853].speaker |
SPEAKER_16 |
transcript.pyannote[853].start |
5314.44096875 |
transcript.pyannote[853].end |
5318.81159375 |
transcript.pyannote[854].speaker |
SPEAKER_20 |
transcript.pyannote[854].start |
5319.23346875 |
transcript.pyannote[854].end |
5325.34221875 |
transcript.pyannote[855].speaker |
SPEAKER_16 |
transcript.pyannote[855].start |
5322.60846875 |
transcript.pyannote[855].end |
5325.30846875 |
transcript.pyannote[856].speaker |
SPEAKER_20 |
transcript.pyannote[856].start |
5325.78096875 |
transcript.pyannote[856].end |
5332.56471875 |
transcript.pyannote[857].speaker |
SPEAKER_16 |
transcript.pyannote[857].start |
5330.96159375 |
transcript.pyannote[857].end |
5334.75846875 |
transcript.pyannote[858].speaker |
SPEAKER_16 |
transcript.pyannote[858].start |
5334.77534375 |
transcript.pyannote[858].end |
5334.80909375 |
transcript.pyannote[859].speaker |
SPEAKER_20 |
transcript.pyannote[859].start |
5334.80909375 |
transcript.pyannote[859].end |
5337.86346875 |
transcript.pyannote[860].speaker |
SPEAKER_16 |
transcript.pyannote[860].start |
5337.47534375 |
transcript.pyannote[860].end |
5342.50409375 |
transcript.pyannote[861].speaker |
SPEAKER_20 |
transcript.pyannote[861].start |
5341.52534375 |
transcript.pyannote[861].end |
5341.94721875 |
transcript.pyannote[862].speaker |
SPEAKER_20 |
transcript.pyannote[862].start |
5341.96409375 |
transcript.pyannote[862].end |
5348.25846875 |
transcript.pyannote[863].speaker |
SPEAKER_16 |
transcript.pyannote[863].start |
5346.57096875 |
transcript.pyannote[863].end |
5346.90846875 |
transcript.pyannote[864].speaker |
SPEAKER_16 |
transcript.pyannote[864].start |
5348.12346875 |
transcript.pyannote[864].end |
5351.04284375 |
transcript.pyannote[865].speaker |
SPEAKER_20 |
transcript.pyannote[865].start |
5351.21159375 |
transcript.pyannote[865].end |
5355.61596875 |
transcript.pyannote[866].speaker |
SPEAKER_16 |
transcript.pyannote[866].start |
5353.48971875 |
transcript.pyannote[866].end |
5354.63721875 |
transcript.pyannote[867].speaker |
SPEAKER_16 |
transcript.pyannote[867].start |
5354.77221875 |
transcript.pyannote[867].end |
5355.31221875 |
transcript.pyannote[868].speaker |
SPEAKER_16 |
transcript.pyannote[868].start |
5355.61596875 |
transcript.pyannote[868].end |
5356.24034375 |
transcript.pyannote[869].speaker |
SPEAKER_20 |
transcript.pyannote[869].start |
5356.24034375 |
transcript.pyannote[869].end |
5356.69596875 |
transcript.pyannote[870].speaker |
SPEAKER_16 |
transcript.pyannote[870].start |
5356.69596875 |
transcript.pyannote[870].end |
5356.78034375 |
transcript.pyannote[871].speaker |
SPEAKER_20 |
transcript.pyannote[871].start |
5356.78034375 |
transcript.pyannote[871].end |
5356.79721875 |
transcript.pyannote[872].speaker |
SPEAKER_16 |
transcript.pyannote[872].start |
5356.79721875 |
transcript.pyannote[872].end |
5356.84784375 |
transcript.pyannote[873].speaker |
SPEAKER_20 |
transcript.pyannote[873].start |
5356.84784375 |
transcript.pyannote[873].end |
5363.15909375 |
transcript.pyannote[874].speaker |
SPEAKER_16 |
transcript.pyannote[874].start |
5356.88159375 |
transcript.pyannote[874].end |
5358.97409375 |
transcript.pyannote[875].speaker |
SPEAKER_16 |
transcript.pyannote[875].start |
5363.15909375 |
transcript.pyannote[875].end |
5363.17596875 |
transcript.pyannote[876].speaker |
SPEAKER_20 |
transcript.pyannote[876].start |
5363.17596875 |
transcript.pyannote[876].end |
5363.29409375 |
transcript.pyannote[877].speaker |
SPEAKER_16 |
transcript.pyannote[877].start |
5363.29409375 |
transcript.pyannote[877].end |
5366.01096875 |
transcript.pyannote[878].speaker |
SPEAKER_20 |
transcript.pyannote[878].start |
5363.39534375 |
transcript.pyannote[878].end |
5363.76659375 |
transcript.pyannote[879].speaker |
SPEAKER_16 |
transcript.pyannote[879].start |
5366.23034375 |
transcript.pyannote[879].end |
5366.92221875 |
transcript.pyannote[880].speaker |
SPEAKER_20 |
transcript.pyannote[880].start |
5367.47909375 |
transcript.pyannote[880].end |
5372.62596875 |
transcript.pyannote[881].speaker |
SPEAKER_16 |
transcript.pyannote[881].start |
5371.69784375 |
transcript.pyannote[881].end |
5372.84534375 |
transcript.pyannote[882].speaker |
SPEAKER_16 |
transcript.pyannote[882].start |
5373.08159375 |
transcript.pyannote[882].end |
5375.08971875 |
transcript.pyannote[883].speaker |
SPEAKER_20 |
transcript.pyannote[883].start |
5375.08971875 |
transcript.pyannote[883].end |
5382.36284375 |
transcript.pyannote[884].speaker |
SPEAKER_16 |
transcript.pyannote[884].start |
5382.36284375 |
transcript.pyannote[884].end |
5382.54846875 |
transcript.pyannote[885].speaker |
SPEAKER_20 |
transcript.pyannote[885].start |
5382.54846875 |
transcript.pyannote[885].end |
5383.96596875 |
transcript.pyannote[886].speaker |
SPEAKER_16 |
transcript.pyannote[886].start |
5383.96596875 |
transcript.pyannote[886].end |
5384.03346875 |
transcript.pyannote[887].speaker |
SPEAKER_20 |
transcript.pyannote[887].start |
5384.03346875 |
transcript.pyannote[887].end |
5384.13471875 |
transcript.pyannote[888].speaker |
SPEAKER_16 |
transcript.pyannote[888].start |
5384.13471875 |
transcript.pyannote[888].end |
5384.25284375 |
transcript.pyannote[889].speaker |
SPEAKER_20 |
transcript.pyannote[889].start |
5384.25284375 |
transcript.pyannote[889].end |
5384.67471875 |
transcript.pyannote[890].speaker |
SPEAKER_16 |
transcript.pyannote[890].start |
5384.67471875 |
transcript.pyannote[890].end |
5404.65471875 |
transcript.pyannote[891].speaker |
SPEAKER_20 |
transcript.pyannote[891].start |
5384.75909375 |
transcript.pyannote[891].end |
5385.94034375 |
transcript.pyannote[892].speaker |
SPEAKER_22 |
transcript.pyannote[892].start |
5402.32596875 |
transcript.pyannote[892].end |
5402.34284375 |
transcript.pyannote[893].speaker |
SPEAKER_20 |
transcript.pyannote[893].start |
5402.34284375 |
transcript.pyannote[893].end |
5402.74784375 |
transcript.pyannote[894].speaker |
SPEAKER_16 |
transcript.pyannote[894].start |
5404.82346875 |
transcript.pyannote[894].end |
5406.93284375 |
transcript.pyannote[895].speaker |
SPEAKER_20 |
transcript.pyannote[895].start |
5405.49846875 |
transcript.pyannote[895].end |
5413.15971875 |
transcript.pyannote[896].speaker |
SPEAKER_16 |
transcript.pyannote[896].start |
5408.33346875 |
transcript.pyannote[896].end |
5415.04971875 |
transcript.pyannote[897].speaker |
SPEAKER_16 |
transcript.pyannote[897].start |
5415.80909375 |
transcript.pyannote[897].end |
5421.69846875 |
transcript.pyannote[898].speaker |
SPEAKER_20 |
transcript.pyannote[898].start |
5420.88846875 |
transcript.pyannote[898].end |
5426.81159375 |
transcript.pyannote[899].speaker |
SPEAKER_16 |
transcript.pyannote[899].start |
5425.17471875 |
transcript.pyannote[899].end |
5453.76096875 |
transcript.pyannote[900].speaker |
SPEAKER_27 |
transcript.pyannote[900].start |
5451.16221875 |
transcript.pyannote[900].end |
5451.82034375 |
transcript.pyannote[901].speaker |
SPEAKER_16 |
transcript.pyannote[901].start |
5454.06471875 |
transcript.pyannote[901].end |
5456.62971875 |
transcript.pyannote[902].speaker |
SPEAKER_16 |
transcript.pyannote[902].start |
5456.73096875 |
transcript.pyannote[902].end |
5466.31596875 |
transcript.pyannote[903].speaker |
SPEAKER_16 |
transcript.pyannote[903].start |
5466.97409375 |
transcript.pyannote[903].end |
5467.76721875 |
transcript.pyannote[904].speaker |
SPEAKER_16 |
transcript.pyannote[904].start |
5469.31971875 |
transcript.pyannote[904].end |
5470.26471875 |
transcript.pyannote[905].speaker |
SPEAKER_16 |
transcript.pyannote[905].start |
5470.77096875 |
transcript.pyannote[905].end |
5471.78346875 |
transcript.pyannote[906].speaker |
SPEAKER_16 |
transcript.pyannote[906].start |
5472.03659375 |
transcript.pyannote[906].end |
5472.66096875 |
transcript.pyannote[907].speaker |
SPEAKER_16 |
transcript.pyannote[907].start |
5473.62284375 |
transcript.pyannote[907].end |
5474.43284375 |
transcript.pyannote[908].speaker |
SPEAKER_16 |
transcript.pyannote[908].start |
5474.71971875 |
transcript.pyannote[908].end |
5476.67721875 |
transcript.pyannote[909].speaker |
SPEAKER_16 |
transcript.pyannote[909].start |
5477.03159375 |
transcript.pyannote[909].end |
5478.16221875 |
transcript.pyannote[910].speaker |
SPEAKER_16 |
transcript.pyannote[910].start |
5478.34784375 |
transcript.pyannote[910].end |
5479.86659375 |
transcript.pyannote[911].speaker |
SPEAKER_20 |
transcript.pyannote[911].start |
5480.33909375 |
transcript.pyannote[911].end |
5485.36784375 |
transcript.pyannote[912].speaker |
SPEAKER_20 |
transcript.pyannote[912].start |
5485.41846875 |
transcript.pyannote[912].end |
5485.43534375 |
transcript.pyannote[913].speaker |
SPEAKER_16 |
transcript.pyannote[913].start |
5485.43534375 |
transcript.pyannote[913].end |
5495.71221875 |
transcript.pyannote[914].speaker |
SPEAKER_20 |
transcript.pyannote[914].start |
5491.15596875 |
transcript.pyannote[914].end |
5491.59471875 |
transcript.pyannote[915].speaker |
SPEAKER_20 |
transcript.pyannote[915].start |
5495.12159375 |
transcript.pyannote[915].end |
5506.12409375 |
transcript.pyannote[916].speaker |
SPEAKER_16 |
transcript.pyannote[916].start |
5504.20034375 |
transcript.pyannote[916].end |
5517.26159375 |
transcript.pyannote[917].speaker |
SPEAKER_20 |
transcript.pyannote[917].start |
5507.62596875 |
transcript.pyannote[917].end |
5508.03096875 |
transcript.pyannote[918].speaker |
SPEAKER_20 |
transcript.pyannote[918].start |
5508.89159375 |
transcript.pyannote[918].end |
5509.90409375 |
transcript.pyannote[919].speaker |
SPEAKER_22 |
transcript.pyannote[919].start |
5510.20784375 |
transcript.pyannote[919].end |
5510.71409375 |
transcript.pyannote[920].speaker |
SPEAKER_22 |
transcript.pyannote[920].start |
5513.80221875 |
transcript.pyannote[920].end |
5514.13971875 |
transcript.pyannote[921].speaker |
SPEAKER_21 |
transcript.pyannote[921].start |
5516.94096875 |
transcript.pyannote[921].end |
5517.21096875 |
transcript.pyannote[922].speaker |
SPEAKER_21 |
transcript.pyannote[922].start |
5517.26159375 |
transcript.pyannote[922].end |
5517.53159375 |
transcript.pyannote[923].speaker |
SPEAKER_16 |
transcript.pyannote[923].start |
5517.53159375 |
transcript.pyannote[923].end |
5526.55971875 |
transcript.pyannote[924].speaker |
SPEAKER_20 |
transcript.pyannote[924].start |
5528.39909375 |
transcript.pyannote[924].end |
5537.96721875 |
transcript.pyannote[925].speaker |
SPEAKER_16 |
transcript.pyannote[925].start |
5530.37346875 |
transcript.pyannote[925].end |
5531.38596875 |
transcript.pyannote[926].speaker |
SPEAKER_20 |
transcript.pyannote[926].start |
5538.28784375 |
transcript.pyannote[926].end |
5543.29971875 |
transcript.pyannote[927].speaker |
SPEAKER_27 |
transcript.pyannote[927].start |
5538.32159375 |
transcript.pyannote[927].end |
5538.42284375 |
transcript.pyannote[928].speaker |
SPEAKER_16 |
transcript.pyannote[928].start |
5538.42284375 |
transcript.pyannote[928].end |
5538.96284375 |
transcript.pyannote[929].speaker |
SPEAKER_27 |
transcript.pyannote[929].start |
5538.96284375 |
transcript.pyannote[929].end |
5539.03034375 |
transcript.pyannote[930].speaker |
SPEAKER_16 |
transcript.pyannote[930].start |
5539.03034375 |
transcript.pyannote[930].end |
5539.77284375 |
transcript.pyannote[931].speaker |
SPEAKER_27 |
transcript.pyannote[931].start |
5539.77284375 |
transcript.pyannote[931].end |
5539.85721875 |
transcript.pyannote[932].speaker |
SPEAKER_16 |
transcript.pyannote[932].start |
5543.29971875 |
transcript.pyannote[932].end |
5543.60346875 |
transcript.pyannote[933].speaker |
SPEAKER_20 |
transcript.pyannote[933].start |
5543.60346875 |
transcript.pyannote[933].end |
5543.62034375 |
transcript.pyannote[934].speaker |
SPEAKER_16 |
transcript.pyannote[934].start |
5543.62034375 |
transcript.pyannote[934].end |
5546.28659375 |
transcript.pyannote[935].speaker |
SPEAKER_20 |
transcript.pyannote[935].start |
5543.63721875 |
transcript.pyannote[935].end |
5544.12659375 |
transcript.pyannote[936].speaker |
SPEAKER_20 |
transcript.pyannote[936].start |
5547.28221875 |
transcript.pyannote[936].end |
5552.02409375 |
transcript.pyannote[937].speaker |
SPEAKER_16 |
transcript.pyannote[937].start |
5547.45096875 |
transcript.pyannote[937].end |
5548.27784375 |
transcript.pyannote[938].speaker |
SPEAKER_16 |
transcript.pyannote[938].start |
5549.25659375 |
transcript.pyannote[938].end |
5549.77971875 |
transcript.pyannote[939].speaker |
SPEAKER_16 |
transcript.pyannote[939].start |
5550.79221875 |
transcript.pyannote[939].end |
5552.00721875 |
transcript.pyannote[940].speaker |
SPEAKER_16 |
transcript.pyannote[940].start |
5552.02409375 |
transcript.pyannote[940].end |
5553.39096875 |
transcript.pyannote[941].speaker |
SPEAKER_20 |
transcript.pyannote[941].start |
5554.16721875 |
transcript.pyannote[941].end |
5558.90909375 |
transcript.pyannote[942].speaker |
SPEAKER_16 |
transcript.pyannote[942].start |
5556.54659375 |
transcript.pyannote[942].end |
5558.23409375 |
transcript.pyannote[943].speaker |
SPEAKER_16 |
transcript.pyannote[943].start |
5558.99346875 |
transcript.pyannote[943].end |
5567.92034375 |
transcript.pyannote[944].speaker |
SPEAKER_16 |
transcript.pyannote[944].start |
5567.97096875 |
transcript.pyannote[944].end |
5575.69971875 |
transcript.pyannote[945].speaker |
SPEAKER_16 |
transcript.pyannote[945].start |
5575.78409375 |
transcript.pyannote[945].end |
5586.17909375 |
transcript.pyannote[946].speaker |
SPEAKER_16 |
transcript.pyannote[946].start |
5586.55034375 |
transcript.pyannote[946].end |
5589.65534375 |
transcript.pyannote[947].speaker |
SPEAKER_16 |
transcript.pyannote[947].start |
5590.31346875 |
transcript.pyannote[947].end |
5609.12909375 |
transcript.pyannote[948].speaker |
SPEAKER_20 |
transcript.pyannote[948].start |
5609.53409375 |
transcript.pyannote[948].end |
5618.62971875 |
transcript.pyannote[949].speaker |
SPEAKER_16 |
transcript.pyannote[949].start |
5616.16596875 |
transcript.pyannote[949].end |
5631.13409375 |
transcript.pyannote[950].speaker |
SPEAKER_27 |
transcript.pyannote[950].start |
5626.17284375 |
transcript.pyannote[950].end |
5626.30784375 |
transcript.pyannote[951].speaker |
SPEAKER_27 |
transcript.pyannote[951].start |
5626.72971875 |
transcript.pyannote[951].end |
5626.76346875 |
transcript.pyannote[952].speaker |
SPEAKER_12 |
transcript.pyannote[952].start |
5626.76346875 |
transcript.pyannote[952].end |
5626.89846875 |
transcript.pyannote[953].speaker |
SPEAKER_27 |
transcript.pyannote[953].start |
5626.89846875 |
transcript.pyannote[953].end |
5626.91534375 |
transcript.pyannote[954].speaker |
SPEAKER_16 |
transcript.pyannote[954].start |
5632.66971875 |
transcript.pyannote[954].end |
5648.80221875 |
transcript.pyannote[955].speaker |
SPEAKER_16 |
transcript.pyannote[955].start |
5649.08909375 |
transcript.pyannote[955].end |
5655.92346875 |
transcript.pyannote[956].speaker |
SPEAKER_15 |
transcript.pyannote[956].start |
5656.73346875 |
transcript.pyannote[956].end |
5667.93846875 |
transcript.pyannote[957].speaker |
SPEAKER_16 |
transcript.pyannote[957].start |
5666.92596875 |
transcript.pyannote[957].end |
5685.65721875 |
transcript.pyannote[958].speaker |
SPEAKER_15 |
transcript.pyannote[958].start |
5685.94409375 |
transcript.pyannote[958].end |
5690.41596875 |
transcript.pyannote[959].speaker |
SPEAKER_16 |
transcript.pyannote[959].start |
5690.41596875 |
transcript.pyannote[959].end |
5719.74471875 |
transcript.pyannote[960].speaker |
SPEAKER_16 |
transcript.pyannote[960].start |
5720.23409375 |
transcript.pyannote[960].end |
5745.54659375 |
transcript.pyannote[961].speaker |
SPEAKER_20 |
transcript.pyannote[961].start |
5743.53846875 |
transcript.pyannote[961].end |
5743.90971875 |
transcript.pyannote[962].speaker |
SPEAKER_20 |
transcript.pyannote[962].start |
5744.83784375 |
transcript.pyannote[962].end |
5750.65971875 |
transcript.pyannote[963].speaker |
SPEAKER_16 |
transcript.pyannote[963].start |
5750.76096875 |
transcript.pyannote[963].end |
5756.16096875 |
transcript.pyannote[964].speaker |
SPEAKER_20 |
transcript.pyannote[964].start |
5755.16534375 |
transcript.pyannote[964].end |
5755.19909375 |
transcript.pyannote[965].speaker |
SPEAKER_20 |
transcript.pyannote[965].start |
5755.99221875 |
transcript.pyannote[965].end |
5757.79784375 |
transcript.pyannote[966].speaker |
SPEAKER_16 |
transcript.pyannote[966].start |
5758.15221875 |
transcript.pyannote[966].end |
5759.95784375 |
transcript.pyannote[967].speaker |
SPEAKER_16 |
transcript.pyannote[967].start |
5760.05909375 |
transcript.pyannote[967].end |
5761.91534375 |
transcript.pyannote[968].speaker |
SPEAKER_16 |
transcript.pyannote[968].start |
5762.10096875 |
transcript.pyannote[968].end |
5766.08346875 |
transcript.pyannote[969].speaker |
SPEAKER_16 |
transcript.pyannote[969].start |
5766.26909375 |
transcript.pyannote[969].end |
5779.21221875 |
transcript.pyannote[970].speaker |
SPEAKER_16 |
transcript.pyannote[970].start |
5780.07284375 |
transcript.pyannote[970].end |
5793.03284375 |
transcript.pyannote[971].speaker |
SPEAKER_20 |
transcript.pyannote[971].start |
5793.55596875 |
transcript.pyannote[971].end |
5795.54721875 |
transcript.pyannote[972].speaker |
SPEAKER_16 |
transcript.pyannote[972].start |
5795.54721875 |
transcript.pyannote[972].end |
5813.51909375 |
transcript.pyannote[973].speaker |
SPEAKER_16 |
transcript.pyannote[973].start |
5813.99159375 |
transcript.pyannote[973].end |
5816.79284375 |
transcript.pyannote[974].speaker |
SPEAKER_20 |
transcript.pyannote[974].start |
5816.40471875 |
transcript.pyannote[974].end |
5819.22284375 |
transcript.pyannote[975].speaker |
SPEAKER_16 |
transcript.pyannote[975].start |
5818.86846875 |
transcript.pyannote[975].end |
5826.78284375 |
transcript.pyannote[976].speaker |
SPEAKER_20 |
transcript.pyannote[976].start |
5827.23846875 |
transcript.pyannote[976].end |
5832.50346875 |
transcript.pyannote[977].speaker |
SPEAKER_16 |
transcript.pyannote[977].start |
5832.13221875 |
transcript.pyannote[977].end |
5841.46409375 |
transcript.pyannote[978].speaker |
SPEAKER_16 |
transcript.pyannote[978].start |
5841.97034375 |
transcript.pyannote[978].end |
5847.13409375 |
transcript.pyannote[979].speaker |
SPEAKER_16 |
transcript.pyannote[979].start |
5847.99471875 |
transcript.pyannote[979].end |
5855.58846875 |
transcript.pyannote[980].speaker |
SPEAKER_20 |
transcript.pyannote[980].start |
5855.80784375 |
transcript.pyannote[980].end |
5857.84971875 |
transcript.pyannote[981].speaker |
SPEAKER_16 |
transcript.pyannote[981].start |
5856.88784375 |
transcript.pyannote[981].end |
5857.57971875 |
transcript.pyannote[982].speaker |
SPEAKER_16 |
transcript.pyannote[982].start |
5858.35596875 |
transcript.pyannote[982].end |
5864.36346875 |
transcript.pyannote[983].speaker |
SPEAKER_16 |
transcript.pyannote[983].start |
5864.51534375 |
transcript.pyannote[983].end |
5865.22409375 |
transcript.pyannote[984].speaker |
SPEAKER_16 |
transcript.pyannote[984].start |
5865.93284375 |
transcript.pyannote[984].end |
5868.66659375 |
transcript.pyannote[985].speaker |
SPEAKER_16 |
transcript.pyannote[985].start |
5868.97034375 |
transcript.pyannote[985].end |
5873.29034375 |
transcript.pyannote[986].speaker |
SPEAKER_16 |
transcript.pyannote[986].start |
5874.01596875 |
transcript.pyannote[986].end |
5879.21346875 |
transcript.pyannote[987].speaker |
SPEAKER_16 |
transcript.pyannote[987].start |
5879.43284375 |
transcript.pyannote[987].end |
5889.55784375 |
transcript.pyannote[988].speaker |
SPEAKER_20 |
transcript.pyannote[988].start |
5889.96284375 |
transcript.pyannote[988].end |
5897.84346875 |
transcript.pyannote[989].speaker |
SPEAKER_16 |
transcript.pyannote[989].start |
5894.53596875 |
transcript.pyannote[989].end |
5894.65409375 |
transcript.pyannote[990].speaker |
SPEAKER_16 |
transcript.pyannote[990].start |
5894.68784375 |
transcript.pyannote[990].end |
5895.68346875 |
transcript.pyannote[991].speaker |
SPEAKER_20 |
transcript.pyannote[991].start |
5898.01221875 |
transcript.pyannote[991].end |
5904.61034375 |
transcript.pyannote[992].speaker |
SPEAKER_16 |
transcript.pyannote[992].start |
5899.76721875 |
transcript.pyannote[992].end |
5902.01159375 |
transcript.pyannote[993].speaker |
SPEAKER_16 |
transcript.pyannote[993].start |
5903.98596875 |
transcript.pyannote[993].end |
5917.43534375 |
transcript.pyannote[994].speaker |
SPEAKER_20 |
transcript.pyannote[994].start |
5905.18409375 |
transcript.pyannote[994].end |
5906.38221875 |
transcript.pyannote[995].speaker |
SPEAKER_16 |
transcript.pyannote[995].start |
5917.51971875 |
transcript.pyannote[995].end |
5920.23659375 |
transcript.pyannote[996].speaker |
SPEAKER_20 |
transcript.pyannote[996].start |
5919.07221875 |
transcript.pyannote[996].end |
5921.63721875 |
transcript.pyannote[997].speaker |
SPEAKER_16 |
transcript.pyannote[997].start |
5921.35034375 |
transcript.pyannote[997].end |
5927.76284375 |
transcript.pyannote[998].speaker |
SPEAKER_20 |
transcript.pyannote[998].start |
5927.10471875 |
transcript.pyannote[998].end |
5928.28596875 |
transcript.pyannote[999].speaker |
SPEAKER_20 |
transcript.pyannote[999].start |
5928.60659375 |
transcript.pyannote[999].end |
5930.47971875 |
transcript.pyannote[1000].speaker |
SPEAKER_16 |
transcript.pyannote[1000].start |
5930.49659375 |
transcript.pyannote[1000].end |
5930.91846875 |
transcript.pyannote[1001].speaker |
SPEAKER_16 |
transcript.pyannote[1001].start |
5931.86346875 |
transcript.pyannote[1001].end |
5937.76971875 |
transcript.pyannote[1002].speaker |
SPEAKER_16 |
transcript.pyannote[1002].start |
5938.34346875 |
transcript.pyannote[1002].end |
5941.71846875 |
transcript.pyannote[1003].speaker |
SPEAKER_16 |
transcript.pyannote[1003].start |
5941.85346875 |
transcript.pyannote[1003].end |
5946.10596875 |
transcript.pyannote[1004].speaker |
SPEAKER_16 |
transcript.pyannote[1004].start |
5946.46034375 |
transcript.pyannote[1004].end |
5953.22721875 |
transcript.pyannote[1005].speaker |
SPEAKER_16 |
transcript.pyannote[1005].start |
5953.63221875 |
transcript.pyannote[1005].end |
5956.68659375 |
transcript.pyannote[1006].speaker |
SPEAKER_20 |
transcript.pyannote[1006].start |
5957.09159375 |
transcript.pyannote[1006].end |
5962.05284375 |
transcript.pyannote[1007].speaker |
SPEAKER_16 |
transcript.pyannote[1007].start |
5962.05284375 |
transcript.pyannote[1007].end |
5965.51221875 |
transcript.pyannote[1008].speaker |
SPEAKER_20 |
transcript.pyannote[1008].start |
5965.51221875 |
transcript.pyannote[1008].end |
5966.60909375 |
transcript.pyannote[1009].speaker |
SPEAKER_16 |
transcript.pyannote[1009].start |
5966.60909375 |
transcript.pyannote[1009].end |
5969.46096875 |
transcript.pyannote[1010].speaker |
SPEAKER_20 |
transcript.pyannote[1010].start |
5967.94221875 |
transcript.pyannote[1010].end |
5968.88721875 |
transcript.pyannote[1011].speaker |
SPEAKER_16 |
transcript.pyannote[1011].start |
5969.74784375 |
transcript.pyannote[1011].end |
5975.95784375 |
transcript.pyannote[1012].speaker |
SPEAKER_16 |
transcript.pyannote[1012].start |
5975.99159375 |
transcript.pyannote[1012].end |
6011.80034375 |
transcript.pyannote[1013].speaker |
SPEAKER_22 |
transcript.pyannote[1013].start |
5998.30034375 |
transcript.pyannote[1013].end |
5998.97534375 |
transcript.pyannote[1014].speaker |
SPEAKER_20 |
transcript.pyannote[1014].start |
6011.47971875 |
transcript.pyannote[1014].end |
6014.14596875 |
transcript.pyannote[1015].speaker |
SPEAKER_20 |
transcript.pyannote[1015].start |
6014.46659375 |
transcript.pyannote[1015].end |
6024.89534375 |
transcript.pyannote[1016].speaker |
SPEAKER_16 |
transcript.pyannote[1016].start |
6018.11159375 |
transcript.pyannote[1016].end |
6036.08346875 |
transcript.pyannote[1017].speaker |
SPEAKER_20 |
transcript.pyannote[1017].start |
6027.76409375 |
transcript.pyannote[1017].end |
6029.95784375 |
transcript.pyannote[1018].speaker |
SPEAKER_20 |
transcript.pyannote[1018].start |
6031.51034375 |
transcript.pyannote[1018].end |
6032.26971875 |
transcript.pyannote[1019].speaker |
SPEAKER_20 |
transcript.pyannote[1019].start |
6033.04596875 |
transcript.pyannote[1019].end |
6034.15971875 |
transcript.pyannote[1020].speaker |
SPEAKER_20 |
transcript.pyannote[1020].start |
6035.42534375 |
transcript.pyannote[1020].end |
6036.01596875 |
transcript.pyannote[1021].speaker |
SPEAKER_20 |
transcript.pyannote[1021].start |
6036.08346875 |
transcript.pyannote[1021].end |
6039.98159375 |
transcript.pyannote[1022].speaker |
SPEAKER_16 |
transcript.pyannote[1022].start |
6036.96096875 |
transcript.pyannote[1022].end |
6040.58909375 |
transcript.pyannote[1023].speaker |
SPEAKER_20 |
transcript.pyannote[1023].start |
6041.16284375 |
transcript.pyannote[1023].end |
6042.36096875 |
transcript.pyannote[1024].speaker |
SPEAKER_16 |
transcript.pyannote[1024].start |
6041.98971875 |
transcript.pyannote[1024].end |
6047.49096875 |
transcript.pyannote[1025].speaker |
SPEAKER_20 |
transcript.pyannote[1025].start |
6044.67284375 |
transcript.pyannote[1025].end |
6045.09471875 |
transcript.pyannote[1026].speaker |
SPEAKER_20 |
transcript.pyannote[1026].start |
6045.83721875 |
transcript.pyannote[1026].end |
6050.15721875 |
transcript.pyannote[1027].speaker |
SPEAKER_16 |
transcript.pyannote[1027].start |
6050.15721875 |
transcript.pyannote[1027].end |
6064.01159375 |
transcript.pyannote[1028].speaker |
SPEAKER_20 |
transcript.pyannote[1028].start |
6050.20784375 |
transcript.pyannote[1028].end |
6050.32596875 |
transcript.pyannote[1029].speaker |
SPEAKER_20 |
transcript.pyannote[1029].start |
6050.39346875 |
transcript.pyannote[1029].end |
6050.96721875 |
transcript.pyannote[1030].speaker |
SPEAKER_20 |
transcript.pyannote[1030].start |
6055.27034375 |
transcript.pyannote[1030].end |
6056.97471875 |
transcript.pyannote[1031].speaker |
SPEAKER_00 |
transcript.pyannote[1031].start |
6056.97471875 |
transcript.pyannote[1031].end |
6057.02534375 |
transcript.pyannote[1032].speaker |
SPEAKER_22 |
transcript.pyannote[1032].start |
6057.02534375 |
transcript.pyannote[1032].end |
6057.05909375 |
transcript.pyannote[1033].speaker |
SPEAKER_00 |
transcript.pyannote[1033].start |
6057.05909375 |
transcript.pyannote[1033].end |
6058.47659375 |
transcript.pyannote[1034].speaker |
SPEAKER_03 |
transcript.pyannote[1034].start |
6058.47659375 |
transcript.pyannote[1034].end |
6059.20221875 |
transcript.pyannote[1035].speaker |
SPEAKER_12 |
transcript.pyannote[1035].start |
6059.20221875 |
transcript.pyannote[1035].end |
6059.26971875 |
transcript.pyannote[1036].speaker |
SPEAKER_03 |
transcript.pyannote[1036].start |
6059.26971875 |
transcript.pyannote[1036].end |
6060.02909375 |
transcript.pyannote[1037].speaker |
SPEAKER_06 |
transcript.pyannote[1037].start |
6060.02909375 |
transcript.pyannote[1037].end |
6060.95721875 |
transcript.pyannote[1038].speaker |
SPEAKER_03 |
transcript.pyannote[1038].start |
6060.95721875 |
transcript.pyannote[1038].end |
6061.17659375 |
transcript.pyannote[1039].speaker |
SPEAKER_06 |
transcript.pyannote[1039].start |
6061.17659375 |
transcript.pyannote[1039].end |
6061.22721875 |
transcript.pyannote[1040].speaker |
SPEAKER_03 |
transcript.pyannote[1040].start |
6061.22721875 |
transcript.pyannote[1040].end |
6061.31159375 |
transcript.pyannote[1041].speaker |
SPEAKER_06 |
transcript.pyannote[1041].start |
6061.31159375 |
transcript.pyannote[1041].end |
6061.32846875 |
transcript.pyannote[1042].speaker |
SPEAKER_03 |
transcript.pyannote[1042].start |
6061.32846875 |
transcript.pyannote[1042].end |
6061.64909375 |
transcript.pyannote[1043].speaker |
SPEAKER_06 |
transcript.pyannote[1043].start |
6061.64909375 |
transcript.pyannote[1043].end |
6061.69971875 |
transcript.pyannote[1044].speaker |
SPEAKER_03 |
transcript.pyannote[1044].start |
6061.69971875 |
transcript.pyannote[1044].end |
6061.80096875 |
transcript.pyannote[1045].speaker |
SPEAKER_06 |
transcript.pyannote[1045].start |
6066.98159375 |
transcript.pyannote[1045].end |
6069.96846875 |
transcript.pyannote[1046].speaker |
SPEAKER_06 |
transcript.pyannote[1046].start |
6072.53346875 |
transcript.pyannote[1046].end |
6078.65909375 |
transcript.pyannote[1047].speaker |
SPEAKER_00 |
transcript.pyannote[1047].start |
6073.05659375 |
transcript.pyannote[1047].end |
6073.47846875 |
transcript.pyannote[1048].speaker |
SPEAKER_06 |
transcript.pyannote[1048].start |
6078.97971875 |
transcript.pyannote[1048].end |
6081.93284375 |
transcript.pyannote[1049].speaker |
SPEAKER_06 |
transcript.pyannote[1049].start |
6088.90221875 |
transcript.pyannote[1049].end |
6090.48846875 |
transcript.pyannote[1050].speaker |
SPEAKER_06 |
transcript.pyannote[1050].start |
6091.06221875 |
transcript.pyannote[1050].end |
6092.10846875 |
transcript.pyannote[1051].speaker |
SPEAKER_21 |
transcript.pyannote[1051].start |
6096.71534375 |
transcript.pyannote[1051].end |
6097.35659375 |
transcript.pyannote[1052].speaker |
SPEAKER_00 |
transcript.pyannote[1052].start |
6097.50846875 |
transcript.pyannote[1052].end |
6111.09284375 |
transcript.pyannote[1053].speaker |
SPEAKER_27 |
transcript.pyannote[1053].start |
6108.79784375 |
transcript.pyannote[1053].end |
6108.83159375 |
transcript.pyannote[1054].speaker |
SPEAKER_20 |
transcript.pyannote[1054].start |
6108.83159375 |
transcript.pyannote[1054].end |
6109.23659375 |
transcript.pyannote[1055].speaker |
SPEAKER_27 |
transcript.pyannote[1055].start |
6109.23659375 |
transcript.pyannote[1055].end |
6109.25346875 |
transcript.pyannote[1056].speaker |
SPEAKER_20 |
transcript.pyannote[1056].start |
6111.10971875 |
transcript.pyannote[1056].end |
6129.23346875 |
transcript.pyannote[1057].speaker |
SPEAKER_00 |
transcript.pyannote[1057].start |
6116.37471875 |
transcript.pyannote[1057].end |
6116.83034375 |
transcript.pyannote[1058].speaker |
SPEAKER_00 |
transcript.pyannote[1058].start |
6124.37346875 |
transcript.pyannote[1058].end |
6124.42409375 |
transcript.pyannote[1059].speaker |
SPEAKER_21 |
transcript.pyannote[1059].start |
6124.42409375 |
transcript.pyannote[1059].end |
6124.87971875 |
transcript.pyannote[1060].speaker |
SPEAKER_20 |
transcript.pyannote[1060].start |
6129.55409375 |
transcript.pyannote[1060].end |
6137.18159375 |
transcript.pyannote[1061].speaker |
SPEAKER_21 |
transcript.pyannote[1061].start |
6131.64659375 |
transcript.pyannote[1061].end |
6131.79846875 |
transcript.pyannote[1062].speaker |
SPEAKER_22 |
transcript.pyannote[1062].start |
6131.79846875 |
transcript.pyannote[1062].end |
6131.83221875 |
transcript.pyannote[1063].speaker |
SPEAKER_21 |
transcript.pyannote[1063].start |
6131.83221875 |
transcript.pyannote[1063].end |
6131.88284375 |
transcript.pyannote[1064].speaker |
SPEAKER_22 |
transcript.pyannote[1064].start |
6131.88284375 |
transcript.pyannote[1064].end |
6131.89971875 |
transcript.pyannote[1065].speaker |
SPEAKER_22 |
transcript.pyannote[1065].start |
6136.97909375 |
transcript.pyannote[1065].end |
6137.41784375 |
transcript.pyannote[1066].speaker |
SPEAKER_20 |
transcript.pyannote[1066].start |
6137.41784375 |
transcript.pyannote[1066].end |
6137.92409375 |
transcript.pyannote[1067].speaker |
SPEAKER_20 |
transcript.pyannote[1067].start |
6138.36284375 |
transcript.pyannote[1067].end |
6155.05221875 |
transcript.pyannote[1068].speaker |
SPEAKER_22 |
transcript.pyannote[1068].start |
6147.01971875 |
transcript.pyannote[1068].end |
6147.54284375 |
transcript.pyannote[1069].speaker |
SPEAKER_22 |
transcript.pyannote[1069].start |
6154.90034375 |
transcript.pyannote[1069].end |
6155.33909375 |
transcript.pyannote[1070].speaker |
SPEAKER_20 |
transcript.pyannote[1070].start |
6155.20409375 |
transcript.pyannote[1070].end |
6172.72034375 |
transcript.pyannote[1071].speaker |
SPEAKER_00 |
transcript.pyannote[1071].start |
6170.39159375 |
transcript.pyannote[1071].end |
6170.76284375 |
transcript.pyannote[1072].speaker |
SPEAKER_00 |
transcript.pyannote[1072].start |
6171.89346875 |
transcript.pyannote[1072].end |
6196.75034375 |
transcript.pyannote[1073].speaker |
SPEAKER_01 |
transcript.pyannote[1073].start |
6184.33034375 |
transcript.pyannote[1073].end |
6184.80284375 |
transcript.pyannote[1074].speaker |
SPEAKER_27 |
transcript.pyannote[1074].start |
6196.12596875 |
transcript.pyannote[1074].end |
6196.21034375 |
transcript.pyannote[1075].speaker |
SPEAKER_22 |
transcript.pyannote[1075].start |
6196.24409375 |
transcript.pyannote[1075].end |
6196.27784375 |
transcript.pyannote[1076].speaker |
SPEAKER_00 |
transcript.pyannote[1076].start |
6197.17221875 |
transcript.pyannote[1076].end |
6224.96534375 |
transcript.pyannote[1077].speaker |
SPEAKER_20 |
transcript.pyannote[1077].start |
6224.96534375 |
transcript.pyannote[1077].end |
6236.15346875 |
transcript.pyannote[1078].speaker |
SPEAKER_22 |
transcript.pyannote[1078].start |
6234.38159375 |
transcript.pyannote[1078].end |
6234.85409375 |
transcript.pyannote[1079].speaker |
SPEAKER_22 |
transcript.pyannote[1079].start |
6236.15346875 |
transcript.pyannote[1079].end |
6236.27159375 |
transcript.pyannote[1080].speaker |
SPEAKER_22 |
transcript.pyannote[1080].start |
6236.30534375 |
transcript.pyannote[1080].end |
6236.32221875 |
transcript.pyannote[1081].speaker |
SPEAKER_20 |
transcript.pyannote[1081].start |
6236.47409375 |
transcript.pyannote[1081].end |
6275.57346875 |
transcript.pyannote[1082].speaker |
SPEAKER_22 |
transcript.pyannote[1082].start |
6237.53721875 |
transcript.pyannote[1082].end |
6238.11096875 |
transcript.pyannote[1083].speaker |
SPEAKER_22 |
transcript.pyannote[1083].start |
6244.86096875 |
transcript.pyannote[1083].end |
6245.09721875 |
transcript.pyannote[1084].speaker |
SPEAKER_22 |
transcript.pyannote[1084].start |
6249.24846875 |
transcript.pyannote[1084].end |
6249.41721875 |
transcript.pyannote[1085].speaker |
SPEAKER_22 |
transcript.pyannote[1085].start |
6275.48909375 |
transcript.pyannote[1085].end |
6275.94471875 |
transcript.pyannote[1086].speaker |
SPEAKER_20 |
transcript.pyannote[1086].start |
6275.65784375 |
transcript.pyannote[1086].end |
6285.14159375 |
transcript.pyannote[1087].speaker |
SPEAKER_22 |
transcript.pyannote[1087].start |
6285.14159375 |
transcript.pyannote[1087].end |
6285.52971875 |
transcript.pyannote[1088].speaker |
SPEAKER_20 |
transcript.pyannote[1088].start |
6285.37784375 |
transcript.pyannote[1088].end |
6288.93846875 |
transcript.pyannote[1089].speaker |
SPEAKER_20 |
transcript.pyannote[1089].start |
6289.22534375 |
transcript.pyannote[1089].end |
6292.16159375 |
transcript.pyannote[1090].speaker |
SPEAKER_20 |
transcript.pyannote[1090].start |
6292.54971875 |
transcript.pyannote[1090].end |
6298.89471875 |
transcript.pyannote[1091].speaker |
SPEAKER_22 |
transcript.pyannote[1091].start |
6295.41846875 |
transcript.pyannote[1091].end |
6295.58721875 |
transcript.pyannote[1092].speaker |
SPEAKER_22 |
transcript.pyannote[1092].start |
6298.67534375 |
transcript.pyannote[1092].end |
6299.14784375 |
transcript.pyannote[1093].speaker |
SPEAKER_20 |
transcript.pyannote[1093].start |
6299.14784375 |
transcript.pyannote[1093].end |
6302.25284375 |
transcript.pyannote[1094].speaker |
SPEAKER_20 |
transcript.pyannote[1094].start |
6302.86034375 |
transcript.pyannote[1094].end |
6313.74471875 |
transcript.pyannote[1095].speaker |
SPEAKER_22 |
transcript.pyannote[1095].start |
6303.90659375 |
transcript.pyannote[1095].end |
6304.58159375 |
transcript.pyannote[1096].speaker |
SPEAKER_20 |
transcript.pyannote[1096].start |
6314.08221875 |
transcript.pyannote[1096].end |
6325.16909375 |
transcript.pyannote[1097].speaker |
SPEAKER_00 |
transcript.pyannote[1097].start |
6317.01846875 |
transcript.pyannote[1097].end |
6317.40659375 |
transcript.pyannote[1098].speaker |
SPEAKER_00 |
transcript.pyannote[1098].start |
6324.10596875 |
transcript.pyannote[1098].end |
6324.51096875 |
transcript.pyannote[1099].speaker |
SPEAKER_00 |
transcript.pyannote[1099].start |
6324.62909375 |
transcript.pyannote[1099].end |
6336.57659375 |
transcript.pyannote[1100].speaker |
SPEAKER_20 |
transcript.pyannote[1100].start |
6333.35346875 |
transcript.pyannote[1100].end |
6333.60659375 |
transcript.pyannote[1101].speaker |
SPEAKER_20 |
transcript.pyannote[1101].start |
6335.27721875 |
transcript.pyannote[1101].end |
6338.92221875 |
transcript.pyannote[1102].speaker |
SPEAKER_00 |
transcript.pyannote[1102].start |
6337.11659375 |
transcript.pyannote[1102].end |
6358.91909375 |
transcript.pyannote[1103].speaker |
SPEAKER_00 |
transcript.pyannote[1103].start |
6359.08784375 |
transcript.pyannote[1103].end |
6396.60096875 |
transcript.pyannote[1104].speaker |
SPEAKER_20 |
transcript.pyannote[1104].start |
6396.76971875 |
transcript.pyannote[1104].end |
6402.05159375 |
transcript.pyannote[1105].speaker |
SPEAKER_20 |
transcript.pyannote[1105].start |
6402.40596875 |
transcript.pyannote[1105].end |
6410.45534375 |
transcript.pyannote[1106].speaker |
SPEAKER_00 |
transcript.pyannote[1106].start |
6409.22346875 |
transcript.pyannote[1106].end |
6409.54409375 |
transcript.pyannote[1107].speaker |
SPEAKER_00 |
transcript.pyannote[1107].start |
6409.89846875 |
transcript.pyannote[1107].end |
6410.25284375 |
transcript.pyannote[1108].speaker |
SPEAKER_20 |
transcript.pyannote[1108].start |
6410.62409375 |
transcript.pyannote[1108].end |
6423.85409375 |
transcript.pyannote[1109].speaker |
SPEAKER_00 |
transcript.pyannote[1109].start |
6413.94846875 |
transcript.pyannote[1109].end |
6414.26909375 |
transcript.pyannote[1110].speaker |
SPEAKER_12 |
transcript.pyannote[1110].start |
6416.49659375 |
transcript.pyannote[1110].end |
6416.51346875 |
transcript.pyannote[1111].speaker |
SPEAKER_00 |
transcript.pyannote[1111].start |
6416.51346875 |
transcript.pyannote[1111].end |
6417.05346875 |
transcript.pyannote[1112].speaker |
SPEAKER_00 |
transcript.pyannote[1112].start |
6420.42846875 |
transcript.pyannote[1112].end |
6420.83346875 |
transcript.pyannote[1113].speaker |
SPEAKER_00 |
transcript.pyannote[1113].start |
6423.85409375 |
transcript.pyannote[1113].end |
6435.81846875 |
transcript.pyannote[1114].speaker |
SPEAKER_00 |
transcript.pyannote[1114].start |
6436.17284375 |
transcript.pyannote[1114].end |
6449.43659375 |
transcript.pyannote[1115].speaker |
SPEAKER_05 |
transcript.pyannote[1115].start |
6442.75409375 |
transcript.pyannote[1115].end |
6443.09159375 |
transcript.pyannote[1116].speaker |
SPEAKER_22 |
transcript.pyannote[1116].start |
6449.03159375 |
transcript.pyannote[1116].end |
6449.92596875 |
transcript.pyannote[1117].speaker |
SPEAKER_00 |
transcript.pyannote[1117].start |
6449.75721875 |
transcript.pyannote[1117].end |
6451.96784375 |
transcript.pyannote[1118].speaker |
SPEAKER_22 |
transcript.pyannote[1118].start |
6450.39846875 |
transcript.pyannote[1118].end |
6452.30534375 |
transcript.pyannote[1119].speaker |
SPEAKER_00 |
transcript.pyannote[1119].start |
6452.30534375 |
transcript.pyannote[1119].end |
6463.08846875 |
transcript.pyannote[1120].speaker |
SPEAKER_00 |
transcript.pyannote[1120].start |
6463.54409375 |
transcript.pyannote[1120].end |
6482.29221875 |
transcript.pyannote[1121].speaker |
SPEAKER_22 |
transcript.pyannote[1121].start |
6481.78596875 |
transcript.pyannote[1121].end |
6482.41034375 |
transcript.pyannote[1122].speaker |
SPEAKER_00 |
transcript.pyannote[1122].start |
6482.32596875 |
transcript.pyannote[1122].end |
6490.94909375 |
transcript.pyannote[1123].speaker |
SPEAKER_22 |
transcript.pyannote[1123].start |
6490.94909375 |
transcript.pyannote[1123].end |
6491.03346875 |
transcript.pyannote[1124].speaker |
SPEAKER_20 |
transcript.pyannote[1124].start |
6491.03346875 |
transcript.pyannote[1124].end |
6491.21909375 |
transcript.pyannote[1125].speaker |
SPEAKER_22 |
transcript.pyannote[1125].start |
6491.21909375 |
transcript.pyannote[1125].end |
6491.23596875 |
transcript.pyannote[1126].speaker |
SPEAKER_00 |
transcript.pyannote[1126].start |
6491.23596875 |
transcript.pyannote[1126].end |
6494.67846875 |
transcript.pyannote[1127].speaker |
SPEAKER_20 |
transcript.pyannote[1127].start |
6491.30346875 |
transcript.pyannote[1127].end |
6491.43846875 |
transcript.pyannote[1128].speaker |
SPEAKER_20 |
transcript.pyannote[1128].start |
6493.59846875 |
transcript.pyannote[1128].end |
6493.88534375 |
transcript.pyannote[1129].speaker |
SPEAKER_20 |
transcript.pyannote[1129].start |
6494.35784375 |
transcript.pyannote[1129].end |
6495.30284375 |
transcript.pyannote[1130].speaker |
SPEAKER_20 |
transcript.pyannote[1130].start |
6495.80909375 |
transcript.pyannote[1130].end |
6496.01159375 |
transcript.pyannote[1131].speaker |
SPEAKER_00 |
transcript.pyannote[1131].start |
6496.01159375 |
transcript.pyannote[1131].end |
6508.56659375 |
transcript.pyannote[1132].speaker |
SPEAKER_20 |
transcript.pyannote[1132].start |
6496.02846875 |
transcript.pyannote[1132].end |
6496.48409375 |
transcript.pyannote[1133].speaker |
SPEAKER_00 |
transcript.pyannote[1133].start |
6508.68471875 |
transcript.pyannote[1133].end |
6519.02909375 |
transcript.pyannote[1134].speaker |
SPEAKER_20 |
transcript.pyannote[1134].start |
6519.83909375 |
transcript.pyannote[1134].end |
6528.54659375 |
transcript.pyannote[1135].speaker |
SPEAKER_22 |
transcript.pyannote[1135].start |
6527.75346875 |
transcript.pyannote[1135].end |
6528.19221875 |
transcript.pyannote[1136].speaker |
SPEAKER_22 |
transcript.pyannote[1136].start |
6528.54659375 |
transcript.pyannote[1136].end |
6529.01909375 |
transcript.pyannote[1137].speaker |
SPEAKER_20 |
transcript.pyannote[1137].start |
6528.85034375 |
transcript.pyannote[1137].end |
6558.24659375 |
transcript.pyannote[1138].speaker |
SPEAKER_21 |
transcript.pyannote[1138].start |
6542.01284375 |
transcript.pyannote[1138].end |
6542.36721875 |
transcript.pyannote[1139].speaker |
SPEAKER_22 |
transcript.pyannote[1139].start |
6546.87284375 |
transcript.pyannote[1139].end |
6547.36221875 |
transcript.pyannote[1140].speaker |
SPEAKER_20 |
transcript.pyannote[1140].start |
6558.55034375 |
transcript.pyannote[1140].end |
6563.22471875 |
transcript.pyannote[1141].speaker |
SPEAKER_20 |
transcript.pyannote[1141].start |
6563.54534375 |
transcript.pyannote[1141].end |
6563.95034375 |
transcript.pyannote[1142].speaker |
SPEAKER_20 |
transcript.pyannote[1142].start |
6564.82784375 |
transcript.pyannote[1142].end |
6571.84784375 |
transcript.pyannote[1143].speaker |
SPEAKER_00 |
transcript.pyannote[1143].start |
6569.38409375 |
transcript.pyannote[1143].end |
6569.75534375 |
transcript.pyannote[1144].speaker |
SPEAKER_20 |
transcript.pyannote[1144].start |
6572.69159375 |
transcript.pyannote[1144].end |
6584.72346875 |
transcript.pyannote[1145].speaker |
SPEAKER_00 |
transcript.pyannote[1145].start |
6576.15096875 |
transcript.pyannote[1145].end |
6577.58534375 |
transcript.pyannote[1146].speaker |
SPEAKER_22 |
transcript.pyannote[1146].start |
6578.51346875 |
transcript.pyannote[1146].end |
6578.88471875 |
transcript.pyannote[1147].speaker |
SPEAKER_22 |
transcript.pyannote[1147].start |
6583.12034375 |
transcript.pyannote[1147].end |
6583.27221875 |
transcript.pyannote[1148].speaker |
SPEAKER_20 |
transcript.pyannote[1148].start |
6584.95971875 |
transcript.pyannote[1148].end |
6587.10284375 |
transcript.pyannote[1149].speaker |
SPEAKER_22 |
transcript.pyannote[1149].start |
6587.10284375 |
transcript.pyannote[1149].end |
6587.50784375 |
transcript.pyannote[1150].speaker |
SPEAKER_20 |
transcript.pyannote[1150].start |
6587.35596875 |
transcript.pyannote[1150].end |
6601.90221875 |
transcript.pyannote[1151].speaker |
SPEAKER_22 |
transcript.pyannote[1151].start |
6591.32159375 |
transcript.pyannote[1151].end |
6592.14846875 |
transcript.pyannote[1152].speaker |
SPEAKER_22 |
transcript.pyannote[1152].start |
6595.81034375 |
transcript.pyannote[1152].end |
6595.86096875 |
transcript.pyannote[1153].speaker |
SPEAKER_19 |
transcript.pyannote[1153].start |
6595.86096875 |
transcript.pyannote[1153].end |
6596.14784375 |
transcript.pyannote[1154].speaker |
SPEAKER_28 |
transcript.pyannote[1154].start |
6596.14784375 |
transcript.pyannote[1154].end |
6596.16471875 |
transcript.pyannote[1155].speaker |
SPEAKER_20 |
transcript.pyannote[1155].start |
6602.25659375 |
transcript.pyannote[1155].end |
6605.61471875 |
transcript.pyannote[1156].speaker |
SPEAKER_00 |
transcript.pyannote[1156].start |
6604.43346875 |
transcript.pyannote[1156].end |
6617.37659375 |
transcript.pyannote[1157].speaker |
SPEAKER_20 |
transcript.pyannote[1157].start |
6617.07284375 |
transcript.pyannote[1157].end |
6620.43096875 |
transcript.pyannote[1158].speaker |
SPEAKER_00 |
transcript.pyannote[1158].start |
6619.55346875 |
transcript.pyannote[1158].end |
6619.92471875 |
transcript.pyannote[1159].speaker |
SPEAKER_00 |
transcript.pyannote[1159].start |
6620.48159375 |
transcript.pyannote[1159].end |
6655.68284375 |
transcript.pyannote[1160].speaker |
SPEAKER_22 |
transcript.pyannote[1160].start |
6648.22409375 |
transcript.pyannote[1160].end |
6648.61221875 |
transcript.pyannote[1161].speaker |
SPEAKER_22 |
transcript.pyannote[1161].start |
6651.49784375 |
transcript.pyannote[1161].end |
6651.51471875 |
transcript.pyannote[1162].speaker |
SPEAKER_20 |
transcript.pyannote[1162].start |
6651.51471875 |
transcript.pyannote[1162].end |
6651.73409375 |
transcript.pyannote[1163].speaker |
SPEAKER_22 |
transcript.pyannote[1163].start |
6651.73409375 |
transcript.pyannote[1163].end |
6651.80159375 |
transcript.pyannote[1164].speaker |
SPEAKER_22 |
transcript.pyannote[1164].start |
6651.83534375 |
transcript.pyannote[1164].end |
6651.85221875 |
transcript.pyannote[1165].speaker |
SPEAKER_20 |
transcript.pyannote[1165].start |
6655.76721875 |
transcript.pyannote[1165].end |
6662.78721875 |
transcript.pyannote[1166].speaker |
SPEAKER_20 |
transcript.pyannote[1166].start |
6663.14159375 |
transcript.pyannote[1166].end |
6665.47034375 |
transcript.pyannote[1167].speaker |
SPEAKER_22 |
transcript.pyannote[1167].start |
6665.47034375 |
transcript.pyannote[1167].end |
6666.02721875 |
transcript.pyannote[1168].speaker |
SPEAKER_20 |
transcript.pyannote[1168].start |
6665.82471875 |
transcript.pyannote[1168].end |
6676.81034375 |
transcript.pyannote[1169].speaker |
SPEAKER_22 |
transcript.pyannote[1169].start |
6671.37659375 |
transcript.pyannote[1169].end |
6671.73096875 |
transcript.pyannote[1170].speaker |
SPEAKER_00 |
transcript.pyannote[1170].start |
6675.17346875 |
transcript.pyannote[1170].end |
6675.62909375 |
transcript.pyannote[1171].speaker |
SPEAKER_00 |
transcript.pyannote[1171].start |
6676.81034375 |
transcript.pyannote[1171].end |
6684.28596875 |
transcript.pyannote[1172].speaker |
SPEAKER_03 |
transcript.pyannote[1172].start |
6684.28596875 |
transcript.pyannote[1172].end |
6684.30284375 |
transcript.pyannote[1173].speaker |
SPEAKER_00 |
transcript.pyannote[1173].start |
6684.30284375 |
transcript.pyannote[1173].end |
6703.94534375 |
transcript.pyannote[1174].speaker |
SPEAKER_03 |
transcript.pyannote[1174].start |
6691.40721875 |
transcript.pyannote[1174].end |
6692.99346875 |
transcript.pyannote[1175].speaker |
SPEAKER_03 |
transcript.pyannote[1175].start |
6693.26346875 |
transcript.pyannote[1175].end |
6693.58409375 |
transcript.pyannote[1176].speaker |
SPEAKER_20 |
transcript.pyannote[1176].start |
6697.81971875 |
transcript.pyannote[1176].end |
6698.20784375 |
transcript.pyannote[1177].speaker |
SPEAKER_20 |
transcript.pyannote[1177].start |
6702.52784375 |
transcript.pyannote[1177].end |
6703.59096875 |
transcript.pyannote[1178].speaker |
SPEAKER_20 |
transcript.pyannote[1178].start |
6703.94534375 |
transcript.pyannote[1178].end |
6715.87596875 |
transcript.pyannote[1179].speaker |
SPEAKER_00 |
transcript.pyannote[1179].start |
6715.87596875 |
transcript.pyannote[1179].end |
6719.72346875 |
transcript.pyannote[1180].speaker |
SPEAKER_20 |
transcript.pyannote[1180].start |
6718.49159375 |
transcript.pyannote[1180].end |
6719.16659375 |
transcript.pyannote[1181].speaker |
SPEAKER_20 |
transcript.pyannote[1181].start |
6719.72346875 |
transcript.pyannote[1181].end |
6720.02721875 |
transcript.pyannote[1182].speaker |
SPEAKER_00 |
transcript.pyannote[1182].start |
6720.02721875 |
transcript.pyannote[1182].end |
6724.11096875 |
transcript.pyannote[1183].speaker |
SPEAKER_20 |
transcript.pyannote[1183].start |
6723.58784375 |
transcript.pyannote[1183].end |
6727.41846875 |
transcript.pyannote[1184].speaker |
SPEAKER_00 |
transcript.pyannote[1184].start |
6726.64221875 |
transcript.pyannote[1184].end |
6735.26534375 |
transcript.pyannote[1185].speaker |
SPEAKER_20 |
transcript.pyannote[1185].start |
6730.33784375 |
transcript.pyannote[1185].end |
6733.12221875 |
transcript.pyannote[1186].speaker |
SPEAKER_06 |
transcript.pyannote[1186].start |
6733.12221875 |
transcript.pyannote[1186].end |
6733.27409375 |
transcript.pyannote[1187].speaker |
SPEAKER_06 |
transcript.pyannote[1187].start |
6734.77596875 |
transcript.pyannote[1187].end |
6734.82659375 |
transcript.pyannote[1188].speaker |
SPEAKER_20 |
transcript.pyannote[1188].start |
6734.82659375 |
transcript.pyannote[1188].end |
6735.02909375 |
transcript.pyannote[1189].speaker |
SPEAKER_06 |
transcript.pyannote[1189].start |
6735.02909375 |
transcript.pyannote[1189].end |
6735.46784375 |
transcript.pyannote[1190].speaker |
SPEAKER_20 |
transcript.pyannote[1190].start |
6735.26534375 |
transcript.pyannote[1190].end |
6735.43409375 |
transcript.pyannote[1191].speaker |
SPEAKER_00 |
transcript.pyannote[1191].start |
6735.46784375 |
transcript.pyannote[1191].end |
6735.97409375 |
transcript.pyannote[1192].speaker |
SPEAKER_06 |
transcript.pyannote[1192].start |
6735.97409375 |
transcript.pyannote[1192].end |
6736.61534375 |
transcript.pyannote[1193].speaker |
SPEAKER_00 |
transcript.pyannote[1193].start |
6736.07534375 |
transcript.pyannote[1193].end |
6736.39596875 |
transcript.pyannote[1194].speaker |
SPEAKER_21 |
transcript.pyannote[1194].start |
6736.39596875 |
transcript.pyannote[1194].end |
6736.54784375 |
transcript.pyannote[1195].speaker |
SPEAKER_20 |
transcript.pyannote[1195].start |
6736.54784375 |
transcript.pyannote[1195].end |
6736.59846875 |
transcript.pyannote[1196].speaker |
SPEAKER_20 |
transcript.pyannote[1196].start |
6736.61534375 |
transcript.pyannote[1196].end |
6736.71659375 |
transcript.pyannote[1197].speaker |
SPEAKER_06 |
transcript.pyannote[1197].start |
6738.57284375 |
transcript.pyannote[1197].end |
6741.20534375 |
transcript.pyannote[1198].speaker |
SPEAKER_06 |
transcript.pyannote[1198].start |
6741.52596875 |
transcript.pyannote[1198].end |
6744.61409375 |
transcript.pyannote[1199].speaker |
SPEAKER_00 |
transcript.pyannote[1199].start |
6741.61034375 |
transcript.pyannote[1199].end |
6741.88034375 |
transcript.pyannote[1200].speaker |
SPEAKER_01 |
transcript.pyannote[1200].start |
6751.85346875 |
transcript.pyannote[1200].end |
6753.06846875 |
transcript.pyannote[1201].speaker |
SPEAKER_01 |
transcript.pyannote[1201].start |
6753.70971875 |
transcript.pyannote[1201].end |
6760.56096875 |
transcript.pyannote[1202].speaker |
SPEAKER_06 |
transcript.pyannote[1202].start |
6760.71284375 |
transcript.pyannote[1202].end |
6762.01221875 |
transcript.pyannote[1203].speaker |
SPEAKER_01 |
transcript.pyannote[1203].start |
6764.64471875 |
transcript.pyannote[1203].end |
6765.15096875 |
transcript.pyannote[1204].speaker |
SPEAKER_01 |
transcript.pyannote[1204].start |
6766.66971875 |
transcript.pyannote[1204].end |
6770.28096875 |
transcript.pyannote[1205].speaker |
SPEAKER_01 |
transcript.pyannote[1205].start |
6771.52971875 |
transcript.pyannote[1205].end |
6773.60534375 |
transcript.pyannote[1206].speaker |
SPEAKER_22 |
transcript.pyannote[1206].start |
6773.41971875 |
transcript.pyannote[1206].end |
6773.52096875 |
transcript.pyannote[1207].speaker |
SPEAKER_22 |
transcript.pyannote[1207].start |
6773.60534375 |
transcript.pyannote[1207].end |
6774.12846875 |
transcript.pyannote[1208].speaker |
SPEAKER_01 |
transcript.pyannote[1208].start |
6773.72346875 |
transcript.pyannote[1208].end |
6775.27596875 |
transcript.pyannote[1209].speaker |
SPEAKER_01 |
transcript.pyannote[1209].start |
6775.74846875 |
transcript.pyannote[1209].end |
6783.83159375 |
transcript.pyannote[1210].speaker |
SPEAKER_01 |
transcript.pyannote[1210].start |
6784.13534375 |
transcript.pyannote[1210].end |
6790.44659375 |
transcript.pyannote[1211].speaker |
SPEAKER_22 |
transcript.pyannote[1211].start |
6789.83909375 |
transcript.pyannote[1211].end |
6789.97409375 |
transcript.pyannote[1212].speaker |
SPEAKER_11 |
transcript.pyannote[1212].start |
6789.97409375 |
transcript.pyannote[1212].end |
6790.04159375 |
transcript.pyannote[1213].speaker |
SPEAKER_22 |
transcript.pyannote[1213].start |
6790.04159375 |
transcript.pyannote[1213].end |
6790.14284375 |
transcript.pyannote[1214].speaker |
SPEAKER_01 |
transcript.pyannote[1214].start |
6790.49721875 |
transcript.pyannote[1214].end |
6804.40221875 |
transcript.pyannote[1215].speaker |
SPEAKER_01 |
transcript.pyannote[1215].start |
6805.54971875 |
transcript.pyannote[1215].end |
6806.37659375 |
transcript.pyannote[1216].speaker |
SPEAKER_01 |
transcript.pyannote[1216].start |
6806.68034375 |
transcript.pyannote[1216].end |
6809.48159375 |
transcript.pyannote[1217].speaker |
SPEAKER_29 |
transcript.pyannote[1217].start |
6810.03846875 |
transcript.pyannote[1217].end |
6813.00846875 |
transcript.pyannote[1218].speaker |
SPEAKER_01 |
transcript.pyannote[1218].start |
6813.00846875 |
transcript.pyannote[1218].end |
6813.31221875 |
transcript.pyannote[1219].speaker |
SPEAKER_29 |
transcript.pyannote[1219].start |
6813.04221875 |
transcript.pyannote[1219].end |
6813.09284375 |
transcript.pyannote[1220].speaker |
SPEAKER_29 |
transcript.pyannote[1220].start |
6813.22784375 |
transcript.pyannote[1220].end |
6817.07534375 |
transcript.pyannote[1221].speaker |
SPEAKER_22 |
transcript.pyannote[1221].start |
6813.31221875 |
transcript.pyannote[1221].end |
6813.32909375 |
transcript.pyannote[1222].speaker |
SPEAKER_29 |
transcript.pyannote[1222].start |
6817.29471875 |
transcript.pyannote[1222].end |
6822.49221875 |
transcript.pyannote[1223].speaker |
SPEAKER_29 |
transcript.pyannote[1223].start |
6822.61034375 |
transcript.pyannote[1223].end |
6824.51721875 |
transcript.pyannote[1224].speaker |
SPEAKER_29 |
transcript.pyannote[1224].start |
6824.88846875 |
transcript.pyannote[1224].end |
6829.12409375 |
transcript.pyannote[1225].speaker |
SPEAKER_29 |
transcript.pyannote[1225].start |
6829.52909375 |
transcript.pyannote[1225].end |
6830.84534375 |
transcript.pyannote[1226].speaker |
SPEAKER_01 |
transcript.pyannote[1226].start |
6831.03096875 |
transcript.pyannote[1226].end |
6831.95909375 |
transcript.pyannote[1227].speaker |
SPEAKER_01 |
transcript.pyannote[1227].start |
6832.31346875 |
transcript.pyannote[1227].end |
6835.84034375 |
transcript.pyannote[1228].speaker |
SPEAKER_01 |
transcript.pyannote[1228].start |
6836.75159375 |
transcript.pyannote[1228].end |
6839.70471875 |
transcript.pyannote[1229].speaker |
SPEAKER_29 |
transcript.pyannote[1229].start |
6838.81034375 |
transcript.pyannote[1229].end |
6838.87784375 |
transcript.pyannote[1230].speaker |
SPEAKER_29 |
transcript.pyannote[1230].start |
6840.10971875 |
transcript.pyannote[1230].end |
6842.47221875 |
transcript.pyannote[1231].speaker |
SPEAKER_29 |
transcript.pyannote[1231].start |
6842.57346875 |
transcript.pyannote[1231].end |
6854.63909375 |
transcript.pyannote[1232].speaker |
SPEAKER_01 |
transcript.pyannote[1232].start |
6854.18346875 |
transcript.pyannote[1232].end |
6856.27596875 |
transcript.pyannote[1233].speaker |
SPEAKER_29 |
transcript.pyannote[1233].start |
6855.22971875 |
transcript.pyannote[1233].end |
6855.66846875 |
transcript.pyannote[1234].speaker |
SPEAKER_01 |
transcript.pyannote[1234].start |
6856.61346875 |
transcript.pyannote[1234].end |
6858.03096875 |
transcript.pyannote[1235].speaker |
SPEAKER_29 |
transcript.pyannote[1235].start |
6858.03096875 |
transcript.pyannote[1235].end |
6858.45284375 |
transcript.pyannote[1236].speaker |
SPEAKER_01 |
transcript.pyannote[1236].start |
6858.38534375 |
transcript.pyannote[1236].end |
6860.24159375 |
transcript.pyannote[1237].speaker |
SPEAKER_29 |
transcript.pyannote[1237].start |
6860.24159375 |
transcript.pyannote[1237].end |
6860.27534375 |
transcript.pyannote[1238].speaker |
SPEAKER_22 |
transcript.pyannote[1238].start |
6860.27534375 |
transcript.pyannote[1238].end |
6860.68034375 |
transcript.pyannote[1239].speaker |
SPEAKER_01 |
transcript.pyannote[1239].start |
6860.79846875 |
transcript.pyannote[1239].end |
6864.24096875 |
transcript.pyannote[1240].speaker |
SPEAKER_01 |
transcript.pyannote[1240].start |
6864.57846875 |
transcript.pyannote[1240].end |
6866.63721875 |
transcript.pyannote[1241].speaker |
SPEAKER_01 |
transcript.pyannote[1241].start |
6866.77221875 |
transcript.pyannote[1241].end |
6872.64471875 |
transcript.pyannote[1242].speaker |
SPEAKER_29 |
transcript.pyannote[1242].start |
6871.17659375 |
transcript.pyannote[1242].end |
6876.50909375 |
transcript.pyannote[1243].speaker |
SPEAKER_29 |
transcript.pyannote[1243].start |
6876.91409375 |
transcript.pyannote[1243].end |
6879.05721875 |
transcript.pyannote[1244].speaker |
SPEAKER_01 |
transcript.pyannote[1244].start |
6878.38221875 |
transcript.pyannote[1244].end |
6880.66034375 |
transcript.pyannote[1245].speaker |
SPEAKER_29 |
transcript.pyannote[1245].start |
6879.91784375 |
transcript.pyannote[1245].end |
6885.41909375 |
transcript.pyannote[1246].speaker |
SPEAKER_29 |
transcript.pyannote[1246].start |
6885.79034375 |
transcript.pyannote[1246].end |
6886.02659375 |
transcript.pyannote[1247].speaker |
SPEAKER_01 |
transcript.pyannote[1247].start |
6886.39784375 |
transcript.pyannote[1247].end |
6892.37159375 |
transcript.pyannote[1248].speaker |
SPEAKER_29 |
transcript.pyannote[1248].start |
6890.61659375 |
transcript.pyannote[1248].end |
6894.85221875 |
transcript.pyannote[1249].speaker |
SPEAKER_29 |
transcript.pyannote[1249].start |
6895.52721875 |
transcript.pyannote[1249].end |
6902.26034375 |
transcript.pyannote[1250].speaker |
SPEAKER_29 |
transcript.pyannote[1250].start |
6902.34471875 |
transcript.pyannote[1250].end |
6902.71596875 |
transcript.pyannote[1251].speaker |
SPEAKER_01 |
transcript.pyannote[1251].start |
6903.45846875 |
transcript.pyannote[1251].end |
6904.42034375 |
transcript.pyannote[1252].speaker |
SPEAKER_01 |
transcript.pyannote[1252].start |
6905.77034375 |
transcript.pyannote[1252].end |
6910.71471875 |
transcript.pyannote[1253].speaker |
SPEAKER_01 |
transcript.pyannote[1253].start |
6911.15346875 |
transcript.pyannote[1253].end |
6921.43034375 |
transcript.pyannote[1254].speaker |
SPEAKER_01 |
transcript.pyannote[1254].start |
6921.71721875 |
transcript.pyannote[1254].end |
6927.18471875 |
transcript.pyannote[1255].speaker |
SPEAKER_01 |
transcript.pyannote[1255].start |
6927.45471875 |
transcript.pyannote[1255].end |
6933.10784375 |
transcript.pyannote[1256].speaker |
SPEAKER_01 |
transcript.pyannote[1256].start |
6934.27221875 |
transcript.pyannote[1256].end |
6935.43659375 |
transcript.pyannote[1257].speaker |
SPEAKER_01 |
transcript.pyannote[1257].start |
6935.74034375 |
transcript.pyannote[1257].end |
6936.75284375 |
transcript.pyannote[1258].speaker |
SPEAKER_22 |
transcript.pyannote[1258].start |
6936.39846875 |
transcript.pyannote[1258].end |
6936.65159375 |
transcript.pyannote[1259].speaker |
SPEAKER_01 |
transcript.pyannote[1259].start |
6937.22534375 |
transcript.pyannote[1259].end |
6953.12159375 |
transcript.pyannote[1260].speaker |
SPEAKER_01 |
transcript.pyannote[1260].start |
6953.79659375 |
transcript.pyannote[1260].end |
6955.77096875 |
transcript.pyannote[1261].speaker |
SPEAKER_01 |
transcript.pyannote[1261].start |
6956.78346875 |
transcript.pyannote[1261].end |
6959.26409375 |
transcript.pyannote[1262].speaker |
SPEAKER_22 |
transcript.pyannote[1262].start |
6959.61846875 |
transcript.pyannote[1262].end |
6959.75346875 |
transcript.pyannote[1263].speaker |
SPEAKER_01 |
transcript.pyannote[1263].start |
6960.05721875 |
transcript.pyannote[1263].end |
6963.98909375 |
transcript.pyannote[1264].speaker |
SPEAKER_01 |
transcript.pyannote[1264].start |
6964.64721875 |
transcript.pyannote[1264].end |
6964.95096875 |
transcript.pyannote[1265].speaker |
SPEAKER_01 |
transcript.pyannote[1265].start |
6965.32221875 |
transcript.pyannote[1265].end |
6966.72284375 |
transcript.pyannote[1266].speaker |
SPEAKER_01 |
transcript.pyannote[1266].start |
6967.36409375 |
transcript.pyannote[1266].end |
6968.02221875 |
transcript.pyannote[1267].speaker |
SPEAKER_01 |
transcript.pyannote[1267].start |
6968.81534375 |
transcript.pyannote[1267].end |
6969.49034375 |
transcript.pyannote[1268].speaker |
SPEAKER_01 |
transcript.pyannote[1268].start |
6971.53221875 |
transcript.pyannote[1268].end |
6972.05534375 |
transcript.pyannote[1269].speaker |
SPEAKER_01 |
transcript.pyannote[1269].start |
6972.40971875 |
transcript.pyannote[1269].end |
6973.38846875 |
transcript.pyannote[1270].speaker |
SPEAKER_01 |
transcript.pyannote[1270].start |
6974.19846875 |
transcript.pyannote[1270].end |
6976.61159375 |
transcript.pyannote[1271].speaker |
SPEAKER_01 |
transcript.pyannote[1271].start |
6977.13471875 |
transcript.pyannote[1271].end |
6978.50159375 |
transcript.pyannote[1272].speaker |
SPEAKER_01 |
transcript.pyannote[1272].start |
6978.73784375 |
transcript.pyannote[1272].end |
6983.59784375 |
transcript.pyannote[1273].speaker |
SPEAKER_01 |
transcript.pyannote[1273].start |
6983.69909375 |
transcript.pyannote[1273].end |
6989.11596875 |
transcript.pyannote[1274].speaker |
SPEAKER_01 |
transcript.pyannote[1274].start |
6989.70659375 |
transcript.pyannote[1274].end |
6992.03534375 |
transcript.pyannote[1275].speaker |
SPEAKER_01 |
transcript.pyannote[1275].start |
6992.82846875 |
transcript.pyannote[1275].end |
6993.68909375 |
transcript.pyannote[1276].speaker |
SPEAKER_01 |
transcript.pyannote[1276].start |
6994.60034375 |
transcript.pyannote[1276].end |
6996.97971875 |
transcript.pyannote[1277].speaker |
SPEAKER_01 |
transcript.pyannote[1277].start |
6997.24971875 |
transcript.pyannote[1277].end |
6998.58284375 |
transcript.pyannote[1278].speaker |
SPEAKER_01 |
transcript.pyannote[1278].start |
6998.97096875 |
transcript.pyannote[1278].end |
7005.26534375 |
transcript.pyannote[1279].speaker |
SPEAKER_01 |
transcript.pyannote[1279].start |
7005.55221875 |
transcript.pyannote[1279].end |
7011.74534375 |
transcript.pyannote[1280].speaker |
SPEAKER_01 |
transcript.pyannote[1280].start |
7012.35284375 |
transcript.pyannote[1280].end |
7014.02346875 |
transcript.pyannote[1281].speaker |
SPEAKER_15 |
transcript.pyannote[1281].start |
7014.02346875 |
transcript.pyannote[1281].end |
7014.10784375 |
transcript.pyannote[1282].speaker |
SPEAKER_01 |
transcript.pyannote[1282].start |
7014.10784375 |
transcript.pyannote[1282].end |
7014.29346875 |
transcript.pyannote[1283].speaker |
SPEAKER_22 |
transcript.pyannote[1283].start |
7014.29346875 |
transcript.pyannote[1283].end |
7014.31034375 |
transcript.pyannote[1284].speaker |
SPEAKER_15 |
transcript.pyannote[1284].start |
7015.23846875 |
transcript.pyannote[1284].end |
7058.13471875 |
transcript.pyannote[1285].speaker |
SPEAKER_01 |
transcript.pyannote[1285].start |
7058.45534375 |
transcript.pyannote[1285].end |
7063.83846875 |
transcript.pyannote[1286].speaker |
SPEAKER_01 |
transcript.pyannote[1286].start |
7064.59784375 |
transcript.pyannote[1286].end |
7072.24221875 |
transcript.pyannote[1287].speaker |
SPEAKER_01 |
transcript.pyannote[1287].start |
7072.78221875 |
transcript.pyannote[1287].end |
7078.95846875 |
transcript.pyannote[1288].speaker |
SPEAKER_01 |
transcript.pyannote[1288].start |
7079.63346875 |
transcript.pyannote[1288].end |
7081.54034375 |
transcript.pyannote[1289].speaker |
SPEAKER_01 |
transcript.pyannote[1289].start |
7081.87784375 |
transcript.pyannote[1289].end |
7083.41346875 |
transcript.pyannote[1290].speaker |
SPEAKER_01 |
transcript.pyannote[1290].start |
7084.00409375 |
transcript.pyannote[1290].end |
7100.10284375 |
transcript.pyannote[1291].speaker |
SPEAKER_01 |
transcript.pyannote[1291].start |
7100.57534375 |
transcript.pyannote[1291].end |
7106.58284375 |
transcript.pyannote[1292].speaker |
SPEAKER_01 |
transcript.pyannote[1292].start |
7107.40971875 |
transcript.pyannote[1292].end |
7110.09284375 |
transcript.pyannote[1293].speaker |
SPEAKER_01 |
transcript.pyannote[1293].start |
7110.58221875 |
transcript.pyannote[1293].end |
7117.29846875 |
transcript.pyannote[1294].speaker |
SPEAKER_01 |
transcript.pyannote[1294].start |
7118.66534375 |
transcript.pyannote[1294].end |
7122.14159375 |
transcript.pyannote[1295].speaker |
SPEAKER_22 |
transcript.pyannote[1295].start |
7119.61034375 |
transcript.pyannote[1295].end |
7120.06596875 |
transcript.pyannote[1296].speaker |
SPEAKER_01 |
transcript.pyannote[1296].start |
7122.17534375 |
transcript.pyannote[1296].end |
7124.43659375 |
transcript.pyannote[1297].speaker |
SPEAKER_01 |
transcript.pyannote[1297].start |
7125.14534375 |
transcript.pyannote[1297].end |
7130.03909375 |
transcript.pyannote[1298].speaker |
SPEAKER_01 |
transcript.pyannote[1298].start |
7130.47784375 |
transcript.pyannote[1298].end |
7131.22034375 |
transcript.pyannote[1299].speaker |
SPEAKER_01 |
transcript.pyannote[1299].start |
7132.30034375 |
transcript.pyannote[1299].end |
7139.87721875 |
transcript.pyannote[1300].speaker |
SPEAKER_01 |
transcript.pyannote[1300].start |
7140.53534375 |
transcript.pyannote[1300].end |
7142.67846875 |
transcript.pyannote[1301].speaker |
SPEAKER_01 |
transcript.pyannote[1301].start |
7143.28596875 |
transcript.pyannote[1301].end |
7144.51784375 |
transcript.pyannote[1302].speaker |
SPEAKER_01 |
transcript.pyannote[1302].start |
7145.15909375 |
transcript.pyannote[1302].end |
7163.40096875 |
transcript.pyannote[1303].speaker |
SPEAKER_01 |
transcript.pyannote[1303].start |
7163.50221875 |
transcript.pyannote[1303].end |
7164.26159375 |
transcript.pyannote[1304].speaker |
SPEAKER_01 |
transcript.pyannote[1304].start |
7165.10534375 |
transcript.pyannote[1304].end |
7166.75909375 |
transcript.pyannote[1305].speaker |
SPEAKER_01 |
transcript.pyannote[1305].start |
7167.34971875 |
transcript.pyannote[1305].end |
7168.58159375 |
transcript.pyannote[1306].speaker |
SPEAKER_01 |
transcript.pyannote[1306].start |
7168.95284375 |
transcript.pyannote[1306].end |
7174.65659375 |
transcript.pyannote[1307].speaker |
SPEAKER_01 |
transcript.pyannote[1307].start |
7175.38221875 |
transcript.pyannote[1307].end |
7178.80784375 |
transcript.pyannote[1308].speaker |
SPEAKER_01 |
transcript.pyannote[1308].start |
7179.65159375 |
transcript.pyannote[1308].end |
7181.33909375 |
transcript.pyannote[1309].speaker |
SPEAKER_01 |
transcript.pyannote[1309].start |
7182.03096875 |
transcript.pyannote[1309].end |
7183.41471875 |
transcript.pyannote[1310].speaker |
SPEAKER_01 |
transcript.pyannote[1310].start |
7183.78596875 |
transcript.pyannote[1310].end |
7183.80284375 |
transcript.pyannote[1311].speaker |
SPEAKER_15 |
transcript.pyannote[1311].start |
7183.80284375 |
transcript.pyannote[1311].end |
7208.30534375 |
transcript.pyannote[1312].speaker |
SPEAKER_15 |
transcript.pyannote[1312].start |
7209.25034375 |
transcript.pyannote[1312].end |
7210.24596875 |
transcript.pyannote[1313].speaker |
SPEAKER_01 |
transcript.pyannote[1313].start |
7211.96721875 |
transcript.pyannote[1313].end |
7214.63346875 |
transcript.pyannote[1314].speaker |
SPEAKER_01 |
transcript.pyannote[1314].start |
7214.75159375 |
transcript.pyannote[1314].end |
7224.43784375 |
transcript.pyannote[1315].speaker |
SPEAKER_01 |
transcript.pyannote[1315].start |
7225.14659375 |
transcript.pyannote[1315].end |
7240.87409375 |
transcript.pyannote[1316].speaker |
SPEAKER_01 |
transcript.pyannote[1316].start |
7241.58284375 |
transcript.pyannote[1316].end |
7243.35471875 |
transcript.pyannote[1317].speaker |
SPEAKER_01 |
transcript.pyannote[1317].start |
7243.82721875 |
transcript.pyannote[1317].end |
7246.40909375 |
transcript.pyannote[1318].speaker |
SPEAKER_01 |
transcript.pyannote[1318].start |
7246.59471875 |
transcript.pyannote[1318].end |
7247.37096875 |
transcript.pyannote[1319].speaker |
SPEAKER_15 |
transcript.pyannote[1319].start |
7248.38346875 |
transcript.pyannote[1319].end |
7266.13596875 |
transcript.pyannote[1320].speaker |
SPEAKER_22 |
transcript.pyannote[1320].start |
7266.06846875 |
transcript.pyannote[1320].end |
7266.38909375 |
transcript.pyannote[1321].speaker |
SPEAKER_15 |
transcript.pyannote[1321].start |
7266.27096875 |
transcript.pyannote[1321].end |
7283.88846875 |
transcript.pyannote[1322].speaker |
SPEAKER_01 |
transcript.pyannote[1322].start |
7283.88846875 |
transcript.pyannote[1322].end |
7294.01346875 |
transcript.pyannote[1323].speaker |
SPEAKER_15 |
transcript.pyannote[1323].start |
7293.77721875 |
transcript.pyannote[1323].end |
7298.01284375 |
transcript.pyannote[1324].speaker |
SPEAKER_01 |
transcript.pyannote[1324].start |
7298.67096875 |
transcript.pyannote[1324].end |
7304.71221875 |
transcript.pyannote[1325].speaker |
SPEAKER_01 |
transcript.pyannote[1325].start |
7305.16784375 |
transcript.pyannote[1325].end |
7307.80034375 |
transcript.pyannote[1326].speaker |
SPEAKER_01 |
transcript.pyannote[1326].start |
7308.47534375 |
transcript.pyannote[1326].end |
7310.01096875 |
transcript.pyannote[1327].speaker |
SPEAKER_01 |
transcript.pyannote[1327].start |
7310.29784375 |
transcript.pyannote[1327].end |
7316.06909375 |
transcript.pyannote[1328].speaker |
SPEAKER_01 |
transcript.pyannote[1328].start |
7316.72721875 |
transcript.pyannote[1328].end |
7317.72284375 |
transcript.pyannote[1329].speaker |
SPEAKER_01 |
transcript.pyannote[1329].start |
7318.22909375 |
transcript.pyannote[1329].end |
7323.03846875 |
transcript.pyannote[1330].speaker |
SPEAKER_01 |
transcript.pyannote[1330].start |
7323.30846875 |
transcript.pyannote[1330].end |
7330.59846875 |
transcript.pyannote[1331].speaker |
SPEAKER_01 |
transcript.pyannote[1331].start |
7330.63221875 |
transcript.pyannote[1331].end |
7332.25221875 |
transcript.pyannote[1332].speaker |
SPEAKER_01 |
transcript.pyannote[1332].start |
7332.58971875 |
transcript.pyannote[1332].end |
7335.40784375 |
transcript.pyannote[1333].speaker |
SPEAKER_01 |
transcript.pyannote[1333].start |
7335.79596875 |
transcript.pyannote[1333].end |
7344.21659375 |
transcript.pyannote[1334].speaker |
SPEAKER_22 |
transcript.pyannote[1334].start |
7344.14909375 |
transcript.pyannote[1334].end |
7344.31784375 |
transcript.pyannote[1335].speaker |
SPEAKER_01 |
transcript.pyannote[1335].start |
7344.31784375 |
transcript.pyannote[1335].end |
7345.51596875 |
transcript.pyannote[1336].speaker |
SPEAKER_01 |
transcript.pyannote[1336].start |
7345.78596875 |
transcript.pyannote[1336].end |
7346.22471875 |
transcript.pyannote[1337].speaker |
SPEAKER_20 |
transcript.pyannote[1337].start |
7351.32096875 |
transcript.pyannote[1337].end |
7357.96971875 |
transcript.pyannote[1338].speaker |
SPEAKER_20 |
transcript.pyannote[1338].start |
7358.42534375 |
transcript.pyannote[1338].end |
7365.10784375 |
transcript.pyannote[1339].speaker |
SPEAKER_20 |
transcript.pyannote[1339].start |
7365.63096875 |
transcript.pyannote[1339].end |
7368.80346875 |
transcript.pyannote[1340].speaker |
SPEAKER_01 |
transcript.pyannote[1340].start |
7368.49971875 |
transcript.pyannote[1340].end |
7376.70096875 |
transcript.pyannote[1341].speaker |
SPEAKER_01 |
transcript.pyannote[1341].start |
7377.00471875 |
transcript.pyannote[1341].end |
7378.18596875 |
transcript.pyannote[1342].speaker |
SPEAKER_01 |
transcript.pyannote[1342].start |
7378.94534375 |
transcript.pyannote[1342].end |
7380.02534375 |
transcript.pyannote[1343].speaker |
SPEAKER_01 |
transcript.pyannote[1343].start |
7381.07159375 |
transcript.pyannote[1343].end |
7385.03721875 |
transcript.pyannote[1344].speaker |
SPEAKER_01 |
transcript.pyannote[1344].start |
7385.35784375 |
transcript.pyannote[1344].end |
7386.52221875 |
transcript.pyannote[1345].speaker |
SPEAKER_01 |
transcript.pyannote[1345].start |
7387.85534375 |
transcript.pyannote[1345].end |
7393.60971875 |
transcript.pyannote[1346].speaker |
SPEAKER_01 |
transcript.pyannote[1346].start |
7393.89659375 |
transcript.pyannote[1346].end |
7400.19096875 |
transcript.pyannote[1347].speaker |
SPEAKER_01 |
transcript.pyannote[1347].start |
7401.11909375 |
transcript.pyannote[1347].end |
7401.76034375 |
transcript.pyannote[1348].speaker |
SPEAKER_20 |
transcript.pyannote[1348].start |
7401.50721875 |
transcript.pyannote[1348].end |
7408.89846875 |
transcript.pyannote[1349].speaker |
SPEAKER_20 |
transcript.pyannote[1349].start |
7409.28659375 |
transcript.pyannote[1349].end |
7413.28596875 |
transcript.pyannote[1350].speaker |
SPEAKER_01 |
transcript.pyannote[1350].start |
7413.06659375 |
transcript.pyannote[1350].end |
7415.39534375 |
transcript.pyannote[1351].speaker |
SPEAKER_20 |
transcript.pyannote[1351].start |
7415.47971875 |
transcript.pyannote[1351].end |
7420.03596875 |
transcript.pyannote[1352].speaker |
SPEAKER_01 |
transcript.pyannote[1352].start |
7418.43284375 |
transcript.pyannote[1352].end |
7418.65221875 |
transcript.pyannote[1353].speaker |
SPEAKER_01 |
transcript.pyannote[1353].start |
7419.73221875 |
transcript.pyannote[1353].end |
7424.06909375 |
transcript.pyannote[1354].speaker |
SPEAKER_20 |
transcript.pyannote[1354].start |
7422.55034375 |
transcript.pyannote[1354].end |
7422.90471875 |
transcript.pyannote[1355].speaker |
SPEAKER_01 |
transcript.pyannote[1355].start |
7425.04784375 |
transcript.pyannote[1355].end |
7426.81971875 |
transcript.pyannote[1356].speaker |
SPEAKER_20 |
transcript.pyannote[1356].start |
7426.17846875 |
transcript.pyannote[1356].end |
7426.22909375 |
transcript.pyannote[1357].speaker |
SPEAKER_21 |
transcript.pyannote[1357].start |
7426.22909375 |
transcript.pyannote[1357].end |
7426.78596875 |
transcript.pyannote[1358].speaker |
SPEAKER_20 |
transcript.pyannote[1358].start |
7426.81971875 |
transcript.pyannote[1358].end |
7426.83659375 |
transcript.pyannote[1359].speaker |
SPEAKER_01 |
transcript.pyannote[1359].start |
7426.83659375 |
transcript.pyannote[1359].end |
7426.87034375 |
transcript.pyannote[1360].speaker |
SPEAKER_06 |
transcript.pyannote[1360].start |
7431.12284375 |
transcript.pyannote[1360].end |
7434.34596875 |
transcript.pyannote[1361].speaker |
SPEAKER_01 |
transcript.pyannote[1361].start |
7443.84659375 |
transcript.pyannote[1361].end |
7446.34409375 |
transcript.pyannote[1362].speaker |
SPEAKER_06 |
transcript.pyannote[1362].start |
7451.03534375 |
transcript.pyannote[1362].end |
7452.40221875 |
transcript.pyannote[1363].speaker |
SPEAKER_06 |
transcript.pyannote[1363].start |
7452.63846875 |
transcript.pyannote[1363].end |
7453.04346875 |
transcript.pyannote[1364].speaker |
SPEAKER_06 |
transcript.pyannote[1364].start |
7453.34721875 |
transcript.pyannote[1364].end |
7454.32596875 |
transcript.pyannote[1365].speaker |
SPEAKER_06 |
transcript.pyannote[1365].start |
7454.47784375 |
transcript.pyannote[1365].end |
7455.74346875 |
transcript.pyannote[1366].speaker |
SPEAKER_01 |
transcript.pyannote[1366].start |
7456.24971875 |
transcript.pyannote[1366].end |
7457.80221875 |
transcript.pyannote[1367].speaker |
SPEAKER_01 |
transcript.pyannote[1367].start |
7461.34596875 |
transcript.pyannote[1367].end |
7461.91971875 |
transcript.pyannote[1368].speaker |
SPEAKER_06 |
transcript.pyannote[1368].start |
7462.57784375 |
transcript.pyannote[1368].end |
7463.47221875 |
transcript.pyannote[1369].speaker |
SPEAKER_06 |
transcript.pyannote[1369].start |
7463.84346875 |
transcript.pyannote[1369].end |
7466.13846875 |
transcript.pyannote[1370].speaker |
SPEAKER_06 |
transcript.pyannote[1370].start |
7466.22284375 |
transcript.pyannote[1370].end |
7474.18784375 |
transcript.pyannote[1371].speaker |
SPEAKER_06 |
transcript.pyannote[1371].start |
7474.50846875 |
transcript.pyannote[1371].end |
7479.14909375 |
transcript.pyannote[1372].speaker |
SPEAKER_06 |
transcript.pyannote[1372].start |
7479.55409375 |
transcript.pyannote[1372].end |
7483.65471875 |
transcript.pyannote[1373].speaker |
SPEAKER_06 |
transcript.pyannote[1373].start |
7483.92471875 |
transcript.pyannote[1373].end |
7486.84409375 |
transcript.pyannote[1374].speaker |
SPEAKER_06 |
transcript.pyannote[1374].start |
7486.92846875 |
transcript.pyannote[1374].end |
7490.37096875 |
transcript.pyannote[1375].speaker |
SPEAKER_06 |
transcript.pyannote[1375].start |
7490.84346875 |
transcript.pyannote[1375].end |
7522.12971875 |
transcript.pyannote[1376].speaker |
SPEAKER_06 |
transcript.pyannote[1376].start |
7522.24784375 |
transcript.pyannote[1376].end |
7523.95221875 |
transcript.pyannote[1377].speaker |
SPEAKER_06 |
transcript.pyannote[1377].start |
7524.30659375 |
transcript.pyannote[1377].end |
7529.18346875 |
transcript.pyannote[1378].speaker |
SPEAKER_06 |
transcript.pyannote[1378].start |
7529.23409375 |
transcript.pyannote[1378].end |
7539.22409375 |
transcript.pyannote[1379].speaker |
SPEAKER_06 |
transcript.pyannote[1379].start |
7539.35909375 |
transcript.pyannote[1379].end |
7540.37159375 |
transcript.pyannote[1380].speaker |
SPEAKER_06 |
transcript.pyannote[1380].start |
7540.60784375 |
transcript.pyannote[1380].end |
7544.35409375 |
transcript.pyannote[1381].speaker |
SPEAKER_06 |
transcript.pyannote[1381].start |
7544.82659375 |
transcript.pyannote[1381].end |
7545.90659375 |
transcript.pyannote[1382].speaker |
SPEAKER_06 |
transcript.pyannote[1382].start |
7546.85159375 |
transcript.pyannote[1382].end |
7548.04971875 |
transcript.pyannote[1383].speaker |
SPEAKER_06 |
transcript.pyannote[1383].start |
7548.48846875 |
transcript.pyannote[1383].end |
7560.45284375 |
transcript.pyannote[1384].speaker |
SPEAKER_06 |
transcript.pyannote[1384].start |
7560.87471875 |
transcript.pyannote[1384].end |
7564.36784375 |
transcript.pyannote[1385].speaker |
SPEAKER_20 |
transcript.pyannote[1385].start |
7565.02596875 |
transcript.pyannote[1385].end |
7570.93221875 |
transcript.pyannote[1386].speaker |
SPEAKER_06 |
transcript.pyannote[1386].start |
7570.93221875 |
transcript.pyannote[1386].end |
7577.71596875 |
transcript.pyannote[1387].speaker |
SPEAKER_06 |
transcript.pyannote[1387].start |
7577.74971875 |
transcript.pyannote[1387].end |
7578.82971875 |
transcript.pyannote[1388].speaker |
SPEAKER_06 |
transcript.pyannote[1388].start |
7579.21784375 |
transcript.pyannote[1388].end |
7585.34346875 |
transcript.pyannote[1389].speaker |
SPEAKER_06 |
transcript.pyannote[1389].start |
7585.93409375 |
transcript.pyannote[1389].end |
7586.47409375 |
transcript.pyannote[1390].speaker |
SPEAKER_06 |
transcript.pyannote[1390].start |
7586.59221875 |
transcript.pyannote[1390].end |
7589.81534375 |
transcript.pyannote[1391].speaker |
SPEAKER_06 |
transcript.pyannote[1391].start |
7590.22034375 |
transcript.pyannote[1391].end |
7595.78909375 |
transcript.pyannote[1392].speaker |
SPEAKER_06 |
transcript.pyannote[1392].start |
7595.89034375 |
transcript.pyannote[1392].end |
7629.43784375 |
transcript.pyannote[1393].speaker |
SPEAKER_20 |
transcript.pyannote[1393].start |
7629.96096875 |
transcript.pyannote[1393].end |
7630.01159375 |
transcript.pyannote[1394].speaker |
SPEAKER_06 |
transcript.pyannote[1394].start |
7630.01159375 |
transcript.pyannote[1394].end |
7630.63596875 |
transcript.pyannote[1395].speaker |
SPEAKER_20 |
transcript.pyannote[1395].start |
7630.02846875 |
transcript.pyannote[1395].end |
7638.83721875 |
transcript.pyannote[1396].speaker |
SPEAKER_20 |
transcript.pyannote[1396].start |
7638.90471875 |
transcript.pyannote[1396].end |
7638.92159375 |
transcript.pyannote[1397].speaker |
SPEAKER_06 |
transcript.pyannote[1397].start |
7638.92159375 |
transcript.pyannote[1397].end |
7639.91721875 |
transcript.pyannote[1398].speaker |
SPEAKER_20 |
transcript.pyannote[1398].start |
7639.91721875 |
transcript.pyannote[1398].end |
7639.93409375 |
transcript.pyannote[1399].speaker |
SPEAKER_06 |
transcript.pyannote[1399].start |
7639.93409375 |
transcript.pyannote[1399].end |
7639.96784375 |
transcript.pyannote[1400].speaker |
SPEAKER_20 |
transcript.pyannote[1400].start |
7639.96784375 |
transcript.pyannote[1400].end |
7640.03534375 |
transcript.pyannote[1401].speaker |
SPEAKER_06 |
transcript.pyannote[1401].start |
7640.03534375 |
transcript.pyannote[1401].end |
7640.10284375 |
transcript.pyannote[1402].speaker |
SPEAKER_20 |
transcript.pyannote[1402].start |
7640.10284375 |
transcript.pyannote[1402].end |
7641.41909375 |
transcript.pyannote[1403].speaker |
SPEAKER_06 |
transcript.pyannote[1403].start |
7641.41909375 |
transcript.pyannote[1403].end |
7649.92409375 |
transcript.pyannote[1404].speaker |
SPEAKER_20 |
transcript.pyannote[1404].start |
7641.43596875 |
transcript.pyannote[1404].end |
7641.77346875 |
transcript.pyannote[1405].speaker |
SPEAKER_06 |
transcript.pyannote[1405].start |
7650.17721875 |
transcript.pyannote[1405].end |
7698.30471875 |
transcript.pyannote[1406].speaker |
SPEAKER_06 |
transcript.pyannote[1406].start |
7698.60846875 |
transcript.pyannote[1406].end |
7714.45409375 |
transcript.pyannote[1407].speaker |
SPEAKER_06 |
transcript.pyannote[1407].start |
7714.65659375 |
transcript.pyannote[1407].end |
7719.34784375 |
transcript.pyannote[1408].speaker |
SPEAKER_06 |
transcript.pyannote[1408].start |
7719.38159375 |
transcript.pyannote[1408].end |
7756.08471875 |
transcript.pyannote[1409].speaker |
SPEAKER_06 |
transcript.pyannote[1409].start |
7756.37159375 |
transcript.pyannote[1409].end |
7763.66159375 |
transcript.pyannote[1410].speaker |
SPEAKER_06 |
transcript.pyannote[1410].start |
7763.83034375 |
transcript.pyannote[1410].end |
7803.60471875 |
transcript.pyannote[1411].speaker |
SPEAKER_06 |
transcript.pyannote[1411].start |
7803.90846875 |
transcript.pyannote[1411].end |
7804.60034375 |
transcript.pyannote[1412].speaker |
SPEAKER_06 |
transcript.pyannote[1412].start |
7804.80284375 |
transcript.pyannote[1412].end |
7824.44534375 |
transcript.pyannote[1413].speaker |
SPEAKER_06 |
transcript.pyannote[1413].start |
7825.01909375 |
transcript.pyannote[1413].end |
7839.27846875 |
transcript.pyannote[1414].speaker |
SPEAKER_06 |
transcript.pyannote[1414].start |
7839.64971875 |
transcript.pyannote[1414].end |
7852.64346875 |
transcript.pyannote[1415].speaker |
SPEAKER_06 |
transcript.pyannote[1415].start |
7853.08221875 |
transcript.pyannote[1415].end |
7864.35471875 |
transcript.pyannote[1416].speaker |
SPEAKER_20 |
transcript.pyannote[1416].start |
7863.56159375 |
transcript.pyannote[1416].end |
7864.01721875 |
transcript.pyannote[1417].speaker |
SPEAKER_20 |
transcript.pyannote[1417].start |
7864.38846875 |
transcript.pyannote[1417].end |
7876.35284375 |
transcript.pyannote[1418].speaker |
SPEAKER_06 |
transcript.pyannote[1418].start |
7868.03346875 |
transcript.pyannote[1418].end |
7868.38784375 |
transcript.pyannote[1419].speaker |
SPEAKER_27 |
transcript.pyannote[1419].start |
7868.38784375 |
transcript.pyannote[1419].end |
7868.42159375 |
transcript.pyannote[1420].speaker |
SPEAKER_06 |
transcript.pyannote[1420].start |
7876.40346875 |
transcript.pyannote[1420].end |
7894.83096875 |
transcript.pyannote[1421].speaker |
SPEAKER_06 |
transcript.pyannote[1421].start |
7895.21909375 |
transcript.pyannote[1421].end |
7917.32534375 |
transcript.pyannote[1422].speaker |
SPEAKER_06 |
transcript.pyannote[1422].start |
7917.86534375 |
transcript.pyannote[1422].end |
7918.05096875 |
transcript.pyannote[1423].speaker |
SPEAKER_06 |
transcript.pyannote[1423].start |
7918.65846875 |
transcript.pyannote[1423].end |
7971.39284375 |
transcript.pyannote[1424].speaker |
SPEAKER_06 |
transcript.pyannote[1424].start |
7971.83159375 |
transcript.pyannote[1424].end |
8003.43846875 |
transcript.pyannote[1425].speaker |
SPEAKER_06 |
transcript.pyannote[1425].start |
8003.79284375 |
transcript.pyannote[1425].end |
8004.83909375 |
transcript.pyannote[1426].speaker |
SPEAKER_20 |
transcript.pyannote[1426].start |
8004.90659375 |
transcript.pyannote[1426].end |
8008.33221875 |
transcript.pyannote[1427].speaker |
SPEAKER_06 |
transcript.pyannote[1427].start |
8008.56846875 |
transcript.pyannote[1427].end |
8040.05721875 |
transcript.pyannote[1428].speaker |
SPEAKER_21 |
transcript.pyannote[1428].start |
8040.05721875 |
transcript.pyannote[1428].end |
8040.07409375 |
transcript.pyannote[1429].speaker |
SPEAKER_01 |
transcript.pyannote[1429].start |
8040.07409375 |
transcript.pyannote[1429].end |
8040.63096875 |
transcript.pyannote[1430].speaker |
SPEAKER_01 |
transcript.pyannote[1430].start |
8042.04846875 |
transcript.pyannote[1430].end |
8043.82034375 |
transcript.pyannote[1431].speaker |
SPEAKER_13 |
transcript.pyannote[1431].start |
8063.09159375 |
transcript.pyannote[1431].end |
8063.86784375 |
transcript.pyannote[1432].speaker |
SPEAKER_13 |
transcript.pyannote[1432].start |
8064.44159375 |
transcript.pyannote[1432].end |
8065.52159375 |
transcript.pyannote[1433].speaker |
SPEAKER_06 |
transcript.pyannote[1433].start |
8066.53409375 |
transcript.pyannote[1433].end |
8067.93471875 |
transcript.pyannote[1434].speaker |
SPEAKER_00 |
transcript.pyannote[1434].start |
8076.96284375 |
transcript.pyannote[1434].end |
8077.03034375 |
transcript.pyannote[1435].speaker |
SPEAKER_00 |
transcript.pyannote[1435].start |
8077.16534375 |
transcript.pyannote[1435].end |
8077.23284375 |
transcript.pyannote[1436].speaker |
SPEAKER_05 |
transcript.pyannote[1436].start |
8077.23284375 |
transcript.pyannote[1436].end |
8078.09346875 |
transcript.pyannote[1437].speaker |
SPEAKER_22 |
transcript.pyannote[1437].start |
8078.83596875 |
transcript.pyannote[1437].end |
8079.34221875 |
transcript.pyannote[1438].speaker |
SPEAKER_22 |
transcript.pyannote[1438].start |
8079.47721875 |
transcript.pyannote[1438].end |
8080.28721875 |
transcript.pyannote[1439].speaker |
SPEAKER_06 |
transcript.pyannote[1439].start |
8086.88534375 |
transcript.pyannote[1439].end |
8087.12159375 |
transcript.pyannote[1440].speaker |
SPEAKER_06 |
transcript.pyannote[1440].start |
8528.43659375 |
transcript.pyannote[1440].end |
8530.76534375 |
transcript.pyannote[1441].speaker |
SPEAKER_06 |
transcript.pyannote[1441].start |
8530.98471875 |
transcript.pyannote[1441].end |
8534.14034375 |
transcript.pyannote[1442].speaker |
SPEAKER_13 |
transcript.pyannote[1442].start |
8548.75409375 |
transcript.pyannote[1442].end |
8550.84659375 |
transcript.pyannote[1443].speaker |
SPEAKER_06 |
transcript.pyannote[1443].start |
8551.89284375 |
transcript.pyannote[1443].end |
8552.68596875 |
transcript.pyannote[1444].speaker |
SPEAKER_13 |
transcript.pyannote[1444].start |
8557.51221875 |
transcript.pyannote[1444].end |
8557.54596875 |
transcript.pyannote[1445].speaker |
SPEAKER_21 |
transcript.pyannote[1445].start |
8557.54596875 |
transcript.pyannote[1445].end |
8558.35596875 |
transcript.pyannote[1446].speaker |
SPEAKER_13 |
transcript.pyannote[1446].start |
8558.35596875 |
transcript.pyannote[1446].end |
8559.75659375 |
transcript.pyannote[1447].speaker |
SPEAKER_13 |
transcript.pyannote[1447].start |
8560.14471875 |
transcript.pyannote[1447].end |
8568.02534375 |
transcript.pyannote[1448].speaker |
SPEAKER_13 |
transcript.pyannote[1448].start |
8568.17721875 |
transcript.pyannote[1448].end |
8569.10534375 |
transcript.pyannote[1449].speaker |
SPEAKER_13 |
transcript.pyannote[1449].start |
8569.49346875 |
transcript.pyannote[1449].end |
8589.65909375 |
transcript.pyannote[1450].speaker |
SPEAKER_13 |
transcript.pyannote[1450].start |
8589.99659375 |
transcript.pyannote[1450].end |
8592.03846875 |
transcript.pyannote[1451].speaker |
SPEAKER_20 |
transcript.pyannote[1451].start |
8592.03846875 |
transcript.pyannote[1451].end |
8593.79346875 |
transcript.pyannote[1452].speaker |
SPEAKER_20 |
transcript.pyannote[1452].start |
8594.53596875 |
transcript.pyannote[1452].end |
8598.83909375 |
transcript.pyannote[1453].speaker |
SPEAKER_20 |
transcript.pyannote[1453].start |
8599.36221875 |
transcript.pyannote[1453].end |
8599.96971875 |
transcript.pyannote[1454].speaker |
SPEAKER_13 |
transcript.pyannote[1454].start |
8599.96971875 |
transcript.pyannote[1454].end |
8605.38659375 |
transcript.pyannote[1455].speaker |
SPEAKER_13 |
transcript.pyannote[1455].start |
8605.47096875 |
transcript.pyannote[1455].end |
8608.33971875 |
transcript.pyannote[1456].speaker |
SPEAKER_20 |
transcript.pyannote[1456].start |
8609.20034375 |
transcript.pyannote[1456].end |
8609.21721875 |
transcript.pyannote[1457].speaker |
SPEAKER_13 |
transcript.pyannote[1457].start |
8609.21721875 |
transcript.pyannote[1457].end |
8609.25096875 |
transcript.pyannote[1458].speaker |
SPEAKER_20 |
transcript.pyannote[1458].start |
8609.25096875 |
transcript.pyannote[1458].end |
8613.79034375 |
transcript.pyannote[1459].speaker |
SPEAKER_13 |
transcript.pyannote[1459].start |
8613.79034375 |
transcript.pyannote[1459].end |
8644.70534375 |
transcript.pyannote[1460].speaker |
SPEAKER_20 |
transcript.pyannote[1460].start |
8644.70534375 |
transcript.pyannote[1460].end |
8644.72221875 |
transcript.pyannote[1461].speaker |
SPEAKER_20 |
transcript.pyannote[1461].start |
8645.44784375 |
transcript.pyannote[1461].end |
8663.97659375 |
transcript.pyannote[1462].speaker |
SPEAKER_13 |
transcript.pyannote[1462].start |
8663.97659375 |
transcript.pyannote[1462].end |
8664.07784375 |
transcript.pyannote[1463].speaker |
SPEAKER_20 |
transcript.pyannote[1463].start |
8664.07784375 |
transcript.pyannote[1463].end |
8666.33909375 |
transcript.pyannote[1464].speaker |
SPEAKER_13 |
transcript.pyannote[1464].start |
8664.17909375 |
transcript.pyannote[1464].end |
8665.10721875 |
transcript.pyannote[1465].speaker |
SPEAKER_13 |
transcript.pyannote[1465].start |
8666.03534375 |
transcript.pyannote[1465].end |
8669.44409375 |
transcript.pyannote[1466].speaker |
SPEAKER_20 |
transcript.pyannote[1466].start |
8669.08971875 |
transcript.pyannote[1466].end |
8671.48596875 |
transcript.pyannote[1467].speaker |
SPEAKER_13 |
transcript.pyannote[1467].start |
8671.26659375 |
transcript.pyannote[1467].end |
8679.82221875 |
transcript.pyannote[1468].speaker |
SPEAKER_13 |
transcript.pyannote[1468].start |
8680.29471875 |
transcript.pyannote[1468].end |
8683.48409375 |
transcript.pyannote[1469].speaker |
SPEAKER_20 |
transcript.pyannote[1469].start |
8683.51784375 |
transcript.pyannote[1469].end |
8688.32721875 |
transcript.pyannote[1470].speaker |
SPEAKER_13 |
transcript.pyannote[1470].start |
8688.32721875 |
transcript.pyannote[1470].end |
8688.37784375 |
transcript.pyannote[1471].speaker |
SPEAKER_13 |
transcript.pyannote[1471].start |
8689.22159375 |
transcript.pyannote[1471].end |
8691.56721875 |
transcript.pyannote[1472].speaker |
SPEAKER_20 |
transcript.pyannote[1472].start |
8690.85846875 |
transcript.pyannote[1472].end |
8693.42346875 |
transcript.pyannote[1473].speaker |
SPEAKER_13 |
transcript.pyannote[1473].start |
8693.22096875 |
transcript.pyannote[1473].end |
8697.33846875 |
transcript.pyannote[1474].speaker |
SPEAKER_20 |
transcript.pyannote[1474].start |
8697.67596875 |
transcript.pyannote[1474].end |
8699.02596875 |
transcript.pyannote[1475].speaker |
SPEAKER_13 |
transcript.pyannote[1475].start |
8699.41409375 |
transcript.pyannote[1475].end |
8703.29534375 |
transcript.pyannote[1476].speaker |
SPEAKER_20 |
transcript.pyannote[1476].start |
8702.77221875 |
transcript.pyannote[1476].end |
8705.97846875 |
transcript.pyannote[1477].speaker |
SPEAKER_13 |
transcript.pyannote[1477].start |
8704.00409375 |
transcript.pyannote[1477].end |
8704.67909375 |
transcript.pyannote[1478].speaker |
SPEAKER_13 |
transcript.pyannote[1478].start |
8704.89846875 |
transcript.pyannote[1478].end |
8715.07409375 |
transcript.pyannote[1479].speaker |
SPEAKER_20 |
transcript.pyannote[1479].start |
8715.78284375 |
transcript.pyannote[1479].end |
8716.15409375 |
transcript.pyannote[1480].speaker |
SPEAKER_20 |
transcript.pyannote[1480].start |
8716.33971875 |
transcript.pyannote[1480].end |
8724.52409375 |
transcript.pyannote[1481].speaker |
SPEAKER_13 |
transcript.pyannote[1481].start |
8722.14471875 |
transcript.pyannote[1481].end |
8723.03909375 |
transcript.pyannote[1482].speaker |
SPEAKER_13 |
transcript.pyannote[1482].start |
8724.22034375 |
transcript.pyannote[1482].end |
8727.96659375 |
transcript.pyannote[1483].speaker |
SPEAKER_20 |
transcript.pyannote[1483].start |
8724.57471875 |
transcript.pyannote[1483].end |
8724.82784375 |
transcript.pyannote[1484].speaker |
SPEAKER_13 |
transcript.pyannote[1484].start |
8728.42221875 |
transcript.pyannote[1484].end |
8731.27409375 |
transcript.pyannote[1485].speaker |
SPEAKER_20 |
transcript.pyannote[1485].start |
8731.27409375 |
transcript.pyannote[1485].end |
8732.60721875 |
transcript.pyannote[1486].speaker |
SPEAKER_13 |
transcript.pyannote[1486].start |
8732.70846875 |
transcript.pyannote[1486].end |
8737.93971875 |
transcript.pyannote[1487].speaker |
SPEAKER_13 |
transcript.pyannote[1487].start |
8738.07471875 |
transcript.pyannote[1487].end |
8738.85096875 |
transcript.pyannote[1488].speaker |
SPEAKER_13 |
transcript.pyannote[1488].start |
8742.85034375 |
transcript.pyannote[1488].end |
8743.47471875 |
transcript.pyannote[1489].speaker |
SPEAKER_13 |
transcript.pyannote[1489].start |
8743.94721875 |
transcript.pyannote[1489].end |
8744.82471875 |
transcript.pyannote[1490].speaker |
SPEAKER_13 |
transcript.pyannote[1490].start |
8745.26346875 |
transcript.pyannote[1490].end |
8745.68534375 |
transcript.pyannote[1491].speaker |
SPEAKER_13 |
transcript.pyannote[1491].start |
8745.95534375 |
transcript.pyannote[1491].end |
8752.72221875 |
transcript.pyannote[1492].speaker |
SPEAKER_22 |
transcript.pyannote[1492].start |
8752.63784375 |
transcript.pyannote[1492].end |
8752.97534375 |
transcript.pyannote[1493].speaker |
SPEAKER_13 |
transcript.pyannote[1493].start |
8752.87409375 |
transcript.pyannote[1493].end |
8756.29971875 |
transcript.pyannote[1494].speaker |
SPEAKER_13 |
transcript.pyannote[1494].start |
8756.92409375 |
transcript.pyannote[1494].end |
8760.58596875 |
transcript.pyannote[1495].speaker |
SPEAKER_13 |
transcript.pyannote[1495].start |
8760.85596875 |
transcript.pyannote[1495].end |
8763.50534375 |
transcript.pyannote[1496].speaker |
SPEAKER_15 |
transcript.pyannote[1496].start |
8763.50534375 |
transcript.pyannote[1496].end |
8763.52221875 |
transcript.pyannote[1497].speaker |
SPEAKER_13 |
transcript.pyannote[1497].start |
8765.07471875 |
transcript.pyannote[1497].end |
8765.09159375 |
transcript.pyannote[1498].speaker |
SPEAKER_15 |
transcript.pyannote[1498].start |
8765.09159375 |
transcript.pyannote[1498].end |
8779.04721875 |
transcript.pyannote[1499].speaker |
SPEAKER_13 |
transcript.pyannote[1499].start |
8776.87034375 |
transcript.pyannote[1499].end |
8789.57721875 |
transcript.pyannote[1500].speaker |
SPEAKER_15 |
transcript.pyannote[1500].start |
8789.57721875 |
transcript.pyannote[1500].end |
8789.62784375 |
transcript.pyannote[1501].speaker |
SPEAKER_13 |
transcript.pyannote[1501].start |
8789.62784375 |
transcript.pyannote[1501].end |
8789.64471875 |
transcript.pyannote[1502].speaker |
SPEAKER_15 |
transcript.pyannote[1502].start |
8789.64471875 |
transcript.pyannote[1502].end |
8789.72909375 |
transcript.pyannote[1503].speaker |
SPEAKER_13 |
transcript.pyannote[1503].start |
8789.72909375 |
transcript.pyannote[1503].end |
8789.86409375 |
transcript.pyannote[1504].speaker |
SPEAKER_15 |
transcript.pyannote[1504].start |
8789.86409375 |
transcript.pyannote[1504].end |
8789.89784375 |
transcript.pyannote[1505].speaker |
SPEAKER_13 |
transcript.pyannote[1505].start |
8789.89784375 |
transcript.pyannote[1505].end |
8797.64346875 |
transcript.pyannote[1506].speaker |
SPEAKER_15 |
transcript.pyannote[1506].start |
8789.91471875 |
transcript.pyannote[1506].end |
8790.80909375 |
transcript.pyannote[1507].speaker |
SPEAKER_13 |
transcript.pyannote[1507].start |
8798.48721875 |
transcript.pyannote[1507].end |
8803.85346875 |
transcript.pyannote[1508].speaker |
SPEAKER_15 |
transcript.pyannote[1508].start |
8802.16596875 |
transcript.pyannote[1508].end |
8805.84471875 |
transcript.pyannote[1509].speaker |
SPEAKER_13 |
transcript.pyannote[1509].start |
8805.18659375 |
transcript.pyannote[1509].end |
8805.94596875 |
transcript.pyannote[1510].speaker |
SPEAKER_15 |
transcript.pyannote[1510].start |
8805.94596875 |
transcript.pyannote[1510].end |
8808.08909375 |
transcript.pyannote[1511].speaker |
SPEAKER_13 |
transcript.pyannote[1511].start |
8805.99659375 |
transcript.pyannote[1511].end |
8807.17784375 |
transcript.pyannote[1512].speaker |
SPEAKER_13 |
transcript.pyannote[1512].start |
8807.66721875 |
transcript.pyannote[1512].end |
8816.25659375 |
transcript.pyannote[1513].speaker |
SPEAKER_15 |
transcript.pyannote[1513].start |
8816.25659375 |
transcript.pyannote[1513].end |
8823.61409375 |
transcript.pyannote[1514].speaker |
SPEAKER_13 |
transcript.pyannote[1514].start |
8820.91409375 |
transcript.pyannote[1514].end |
8822.12909375 |
transcript.pyannote[1515].speaker |
SPEAKER_13 |
transcript.pyannote[1515].start |
8823.34409375 |
transcript.pyannote[1515].end |
8834.48159375 |
transcript.pyannote[1516].speaker |
SPEAKER_15 |
transcript.pyannote[1516].start |
8831.37659375 |
transcript.pyannote[1516].end |
8831.44409375 |
transcript.pyannote[1517].speaker |
SPEAKER_27 |
transcript.pyannote[1517].start |
8831.44409375 |
transcript.pyannote[1517].end |
8831.66346875 |
transcript.pyannote[1518].speaker |
SPEAKER_15 |
transcript.pyannote[1518].start |
8831.66346875 |
transcript.pyannote[1518].end |
8831.86596875 |
transcript.pyannote[1519].speaker |
SPEAKER_13 |
transcript.pyannote[1519].start |
8834.95409375 |
transcript.pyannote[1519].end |
8845.55159375 |
transcript.pyannote[1520].speaker |
SPEAKER_15 |
transcript.pyannote[1520].start |
8837.68784375 |
transcript.pyannote[1520].end |
8838.10971875 |
transcript.pyannote[1521].speaker |
SPEAKER_15 |
transcript.pyannote[1521].start |
8839.00409375 |
transcript.pyannote[1521].end |
8839.51034375 |
transcript.pyannote[1522].speaker |
SPEAKER_15 |
transcript.pyannote[1522].start |
8841.77159375 |
transcript.pyannote[1522].end |
8841.85596875 |
transcript.pyannote[1523].speaker |
SPEAKER_22 |
transcript.pyannote[1523].start |
8841.85596875 |
transcript.pyannote[1523].end |
8845.75409375 |
transcript.pyannote[1524].speaker |
SPEAKER_13 |
transcript.pyannote[1524].start |
8845.75409375 |
transcript.pyannote[1524].end |
8877.83346875 |
transcript.pyannote[1525].speaker |
SPEAKER_22 |
transcript.pyannote[1525].start |
8877.83346875 |
transcript.pyannote[1525].end |
8877.91784375 |
transcript.pyannote[1526].speaker |
SPEAKER_13 |
transcript.pyannote[1526].start |
8877.91784375 |
transcript.pyannote[1526].end |
8892.43034375 |
transcript.pyannote[1527].speaker |
SPEAKER_13 |
transcript.pyannote[1527].start |
8892.51471875 |
transcript.pyannote[1527].end |
8894.10096875 |
transcript.pyannote[1528].speaker |
SPEAKER_13 |
transcript.pyannote[1528].start |
8894.47221875 |
transcript.pyannote[1528].end |
8922.75471875 |
transcript.pyannote[1529].speaker |
SPEAKER_13 |
transcript.pyannote[1529].start |
8922.77159375 |
transcript.pyannote[1529].end |
8933.97659375 |
transcript.pyannote[1530].speaker |
SPEAKER_15 |
transcript.pyannote[1530].start |
8933.97659375 |
transcript.pyannote[1530].end |
8956.20096875 |
transcript.pyannote[1531].speaker |
SPEAKER_27 |
transcript.pyannote[1531].start |
8945.77221875 |
transcript.pyannote[1531].end |
8946.53159375 |
transcript.pyannote[1532].speaker |
SPEAKER_27 |
transcript.pyannote[1532].start |
8946.54846875 |
transcript.pyannote[1532].end |
8946.56534375 |
transcript.pyannote[1533].speaker |
SPEAKER_13 |
transcript.pyannote[1533].start |
8954.93534375 |
transcript.pyannote[1533].end |
8965.19534375 |
transcript.pyannote[1534].speaker |
SPEAKER_13 |
transcript.pyannote[1534].start |
8965.75221875 |
transcript.pyannote[1534].end |
8973.44721875 |
transcript.pyannote[1535].speaker |
SPEAKER_13 |
transcript.pyannote[1535].start |
8974.27409375 |
transcript.pyannote[1535].end |
8976.97409375 |
transcript.pyannote[1536].speaker |
SPEAKER_15 |
transcript.pyannote[1536].start |
8976.97409375 |
transcript.pyannote[1536].end |
8985.02346875 |
transcript.pyannote[1537].speaker |
SPEAKER_13 |
transcript.pyannote[1537].start |
8982.12096875 |
transcript.pyannote[1537].end |
8982.54284375 |
transcript.pyannote[1538].speaker |
SPEAKER_13 |
transcript.pyannote[1538].start |
8985.02346875 |
transcript.pyannote[1538].end |
8995.23284375 |
transcript.pyannote[1539].speaker |
SPEAKER_15 |
transcript.pyannote[1539].start |
8986.10346875 |
transcript.pyannote[1539].end |
8986.59284375 |
transcript.pyannote[1540].speaker |
SPEAKER_15 |
transcript.pyannote[1540].start |
8987.82471875 |
transcript.pyannote[1540].end |
8988.04409375 |
transcript.pyannote[1541].speaker |
SPEAKER_22 |
transcript.pyannote[1541].start |
8995.33409375 |
transcript.pyannote[1541].end |
8995.77284375 |
transcript.pyannote[1542].speaker |
SPEAKER_13 |
transcript.pyannote[1542].start |
8996.16096875 |
transcript.pyannote[1542].end |
8997.03846875 |
transcript.pyannote[1543].speaker |
SPEAKER_15 |
transcript.pyannote[1543].start |
8997.03846875 |
transcript.pyannote[1543].end |
8997.19034375 |
transcript.pyannote[1544].speaker |
SPEAKER_13 |
transcript.pyannote[1544].start |
8997.19034375 |
transcript.pyannote[1544].end |
8997.96659375 |
transcript.pyannote[1545].speaker |
SPEAKER_15 |
transcript.pyannote[1545].start |
8997.96659375 |
transcript.pyannote[1545].end |
9005.32409375 |
transcript.pyannote[1546].speaker |
SPEAKER_13 |
transcript.pyannote[1546].start |
9005.32409375 |
transcript.pyannote[1546].end |
9044.52471875 |
transcript.pyannote[1547].speaker |
SPEAKER_15 |
transcript.pyannote[1547].start |
9044.52471875 |
transcript.pyannote[1547].end |
9044.55846875 |
transcript.pyannote[1548].speaker |
SPEAKER_15 |
transcript.pyannote[1548].start |
9045.18284375 |
transcript.pyannote[1548].end |
9045.19971875 |
transcript.pyannote[1549].speaker |
SPEAKER_13 |
transcript.pyannote[1549].start |
9045.19971875 |
transcript.pyannote[1549].end |
9045.21659375 |
transcript.pyannote[1550].speaker |
SPEAKER_15 |
transcript.pyannote[1550].start |
9045.21659375 |
transcript.pyannote[1550].end |
9062.51346875 |
transcript.pyannote[1551].speaker |
SPEAKER_13 |
transcript.pyannote[1551].start |
9059.03721875 |
transcript.pyannote[1551].end |
9083.97846875 |
transcript.pyannote[1552].speaker |
SPEAKER_15 |
transcript.pyannote[1552].start |
9083.97846875 |
transcript.pyannote[1552].end |
9099.35159375 |
transcript.pyannote[1553].speaker |
SPEAKER_13 |
transcript.pyannote[1553].start |
9096.78659375 |
transcript.pyannote[1553].end |
9103.31721875 |
transcript.pyannote[1554].speaker |
SPEAKER_15 |
transcript.pyannote[1554].start |
9103.31721875 |
transcript.pyannote[1554].end |
9103.78971875 |
transcript.pyannote[1555].speaker |
SPEAKER_13 |
transcript.pyannote[1555].start |
9103.78971875 |
transcript.pyannote[1555].end |
9106.23659375 |
transcript.pyannote[1556].speaker |
SPEAKER_13 |
transcript.pyannote[1556].start |
9106.30409375 |
transcript.pyannote[1556].end |
9117.81284375 |
transcript.pyannote[1557].speaker |
SPEAKER_13 |
transcript.pyannote[1557].start |
9118.23471875 |
transcript.pyannote[1557].end |
9126.06471875 |
transcript.pyannote[1558].speaker |
SPEAKER_15 |
transcript.pyannote[1558].start |
9124.56284375 |
transcript.pyannote[1558].end |
9126.01409375 |
transcript.pyannote[1559].speaker |
SPEAKER_15 |
transcript.pyannote[1559].start |
9126.06471875 |
transcript.pyannote[1559].end |
9126.68909375 |
transcript.pyannote[1560].speaker |
SPEAKER_13 |
transcript.pyannote[1560].start |
9126.68909375 |
transcript.pyannote[1560].end |
9126.97596875 |
transcript.pyannote[1561].speaker |
SPEAKER_15 |
transcript.pyannote[1561].start |
9126.97596875 |
transcript.pyannote[1561].end |
9128.07284375 |
transcript.pyannote[1562].speaker |
SPEAKER_13 |
transcript.pyannote[1562].start |
9128.07284375 |
transcript.pyannote[1562].end |
9128.10659375 |
transcript.pyannote[1563].speaker |
SPEAKER_06 |
transcript.pyannote[1563].start |
9130.65471875 |
transcript.pyannote[1563].end |
9133.60784375 |
transcript.pyannote[1564].speaker |
SPEAKER_06 |
transcript.pyannote[1564].start |
9134.11409375 |
transcript.pyannote[1564].end |
9137.30346875 |
transcript.pyannote[1565].speaker |
SPEAKER_26 |
transcript.pyannote[1565].start |
9144.74534375 |
transcript.pyannote[1565].end |
9146.02784375 |
transcript.pyannote[1566].speaker |
SPEAKER_26 |
transcript.pyannote[1566].start |
9146.65221875 |
transcript.pyannote[1566].end |
9149.40284375 |
transcript.pyannote[1567].speaker |
SPEAKER_06 |
transcript.pyannote[1567].start |
9149.92596875 |
transcript.pyannote[1567].end |
9151.27596875 |
transcript.pyannote[1568].speaker |
SPEAKER_26 |
transcript.pyannote[1568].start |
9154.81971875 |
transcript.pyannote[1568].end |
9157.16534375 |
transcript.pyannote[1569].speaker |
SPEAKER_26 |
transcript.pyannote[1569].start |
9159.20721875 |
transcript.pyannote[1569].end |
9163.56096875 |
transcript.pyannote[1570].speaker |
SPEAKER_26 |
transcript.pyannote[1570].start |
9164.32034375 |
transcript.pyannote[1570].end |
9222.69096875 |
transcript.pyannote[1571].speaker |
SPEAKER_26 |
transcript.pyannote[1571].start |
9223.56846875 |
transcript.pyannote[1571].end |
9246.88971875 |
transcript.pyannote[1572].speaker |
SPEAKER_00 |
transcript.pyannote[1572].start |
9240.24096875 |
transcript.pyannote[1572].end |
9240.25784375 |
transcript.pyannote[1573].speaker |
SPEAKER_22 |
transcript.pyannote[1573].start |
9240.25784375 |
transcript.pyannote[1573].end |
9240.49409375 |
transcript.pyannote[1574].speaker |
SPEAKER_00 |
transcript.pyannote[1574].start |
9240.49409375 |
transcript.pyannote[1574].end |
9240.51096875 |
transcript.pyannote[1575].speaker |
SPEAKER_00 |
transcript.pyannote[1575].start |
9241.23659375 |
transcript.pyannote[1575].end |
9241.28721875 |
transcript.pyannote[1576].speaker |
SPEAKER_22 |
transcript.pyannote[1576].start |
9241.28721875 |
transcript.pyannote[1576].end |
9241.47284375 |
transcript.pyannote[1577].speaker |
SPEAKER_22 |
transcript.pyannote[1577].start |
9246.46784375 |
transcript.pyannote[1577].end |
9246.50159375 |
transcript.pyannote[1578].speaker |
SPEAKER_26 |
transcript.pyannote[1578].start |
9247.22721875 |
transcript.pyannote[1578].end |
9287.71034375 |
transcript.pyannote[1579].speaker |
SPEAKER_26 |
transcript.pyannote[1579].start |
9287.96346875 |
transcript.pyannote[1579].end |
9290.49471875 |
transcript.pyannote[1580].speaker |
SPEAKER_29 |
transcript.pyannote[1580].start |
9288.08159375 |
transcript.pyannote[1580].end |
9289.33034375 |
transcript.pyannote[1581].speaker |
SPEAKER_29 |
transcript.pyannote[1581].start |
9291.82784375 |
transcript.pyannote[1581].end |
9296.58659375 |
transcript.pyannote[1582].speaker |
SPEAKER_26 |
transcript.pyannote[1582].start |
9296.99159375 |
transcript.pyannote[1582].end |
9306.96471875 |
transcript.pyannote[1583].speaker |
SPEAKER_20 |
transcript.pyannote[1583].start |
9306.20534375 |
transcript.pyannote[1583].end |
9306.67784375 |
transcript.pyannote[1584].speaker |
SPEAKER_20 |
transcript.pyannote[1584].start |
9306.96471875 |
transcript.pyannote[1584].end |
9310.50846875 |
transcript.pyannote[1585].speaker |
SPEAKER_26 |
transcript.pyannote[1585].start |
9310.96409375 |
transcript.pyannote[1585].end |
9357.82596875 |
transcript.pyannote[1586].speaker |
SPEAKER_22 |
transcript.pyannote[1586].start |
9317.32596875 |
transcript.pyannote[1586].end |
9317.35971875 |
transcript.pyannote[1587].speaker |
SPEAKER_20 |
transcript.pyannote[1587].start |
9358.61909375 |
transcript.pyannote[1587].end |
9365.60534375 |
transcript.pyannote[1588].speaker |
SPEAKER_22 |
transcript.pyannote[1588].start |
9365.53784375 |
transcript.pyannote[1588].end |
9366.58409375 |
transcript.pyannote[1589].speaker |
SPEAKER_20 |
transcript.pyannote[1589].start |
9366.46596875 |
transcript.pyannote[1589].end |
9375.07221875 |
transcript.pyannote[1590].speaker |
SPEAKER_26 |
transcript.pyannote[1590].start |
9375.40971875 |
transcript.pyannote[1590].end |
9391.55909375 |
transcript.pyannote[1591].speaker |
SPEAKER_26 |
transcript.pyannote[1591].start |
9391.89659375 |
transcript.pyannote[1591].end |
9409.05846875 |
transcript.pyannote[1592].speaker |
SPEAKER_26 |
transcript.pyannote[1592].start |
9409.51409375 |
transcript.pyannote[1592].end |
9415.30221875 |
transcript.pyannote[1593].speaker |
SPEAKER_20 |
transcript.pyannote[1593].start |
9415.48784375 |
transcript.pyannote[1593].end |
9449.62596875 |
transcript.pyannote[1594].speaker |
SPEAKER_20 |
transcript.pyannote[1594].start |
9450.01409375 |
transcript.pyannote[1594].end |
9457.11846875 |
transcript.pyannote[1595].speaker |
SPEAKER_20 |
transcript.pyannote[1595].start |
9457.64159375 |
transcript.pyannote[1595].end |
9462.18096875 |
transcript.pyannote[1596].speaker |
SPEAKER_26 |
transcript.pyannote[1596].start |
9462.36659375 |
transcript.pyannote[1596].end |
9475.88346875 |
transcript.pyannote[1597].speaker |
SPEAKER_26 |
transcript.pyannote[1597].start |
9477.06471875 |
transcript.pyannote[1597].end |
9479.73096875 |
transcript.pyannote[1598].speaker |
SPEAKER_26 |
transcript.pyannote[1598].start |
9480.86159375 |
transcript.pyannote[1598].end |
9491.84721875 |
transcript.pyannote[1599].speaker |
SPEAKER_26 |
transcript.pyannote[1599].start |
9492.06659375 |
transcript.pyannote[1599].end |
9495.37409375 |
transcript.pyannote[1600].speaker |
SPEAKER_26 |
transcript.pyannote[1600].start |
9495.94784375 |
transcript.pyannote[1600].end |
9495.96471875 |
transcript.pyannote[1601].speaker |
SPEAKER_20 |
transcript.pyannote[1601].start |
9495.96471875 |
transcript.pyannote[1601].end |
9549.71159375 |
transcript.pyannote[1602].speaker |
SPEAKER_00 |
transcript.pyannote[1602].start |
9518.22284375 |
transcript.pyannote[1602].end |
9518.25659375 |
transcript.pyannote[1603].speaker |
SPEAKER_22 |
transcript.pyannote[1603].start |
9518.25659375 |
transcript.pyannote[1603].end |
9518.62784375 |
transcript.pyannote[1604].speaker |
SPEAKER_00 |
transcript.pyannote[1604].start |
9518.62784375 |
transcript.pyannote[1604].end |
9518.66159375 |
transcript.pyannote[1605].speaker |
SPEAKER_00 |
transcript.pyannote[1605].start |
9522.91409375 |
transcript.pyannote[1605].end |
9523.60596875 |
transcript.pyannote[1606].speaker |
SPEAKER_26 |
transcript.pyannote[1606].start |
9550.03221875 |
transcript.pyannote[1606].end |
9583.39409375 |
transcript.pyannote[1607].speaker |
SPEAKER_26 |
transcript.pyannote[1607].start |
9583.54596875 |
transcript.pyannote[1607].end |
9599.54346875 |
transcript.pyannote[1608].speaker |
SPEAKER_20 |
transcript.pyannote[1608].start |
9600.20159375 |
transcript.pyannote[1608].end |
9619.10159375 |
transcript.pyannote[1609].speaker |
SPEAKER_20 |
transcript.pyannote[1609].start |
9620.04659375 |
transcript.pyannote[1609].end |
9621.80159375 |
transcript.pyannote[1610].speaker |
SPEAKER_20 |
transcript.pyannote[1610].start |
9622.39221875 |
transcript.pyannote[1610].end |
9622.71284375 |
transcript.pyannote[1611].speaker |
SPEAKER_20 |
transcript.pyannote[1611].start |
9626.44221875 |
transcript.pyannote[1611].end |
9629.05784375 |
transcript.pyannote[1612].speaker |
SPEAKER_26 |
transcript.pyannote[1612].start |
9629.05784375 |
transcript.pyannote[1612].end |
9634.94721875 |
transcript.pyannote[1613].speaker |
SPEAKER_26 |
transcript.pyannote[1613].start |
9635.16659375 |
transcript.pyannote[1613].end |
9637.61346875 |
transcript.pyannote[1614].speaker |
SPEAKER_26 |
transcript.pyannote[1614].start |
9638.17034375 |
transcript.pyannote[1614].end |
9638.74409375 |
transcript.pyannote[1615].speaker |
SPEAKER_26 |
transcript.pyannote[1615].start |
9639.14909375 |
transcript.pyannote[1615].end |
9641.51159375 |
transcript.pyannote[1616].speaker |
SPEAKER_26 |
transcript.pyannote[1616].start |
9642.01784375 |
transcript.pyannote[1616].end |
9679.75034375 |
transcript.pyannote[1617].speaker |
SPEAKER_22 |
transcript.pyannote[1617].start |
9648.16034375 |
transcript.pyannote[1617].end |
9648.22784375 |
transcript.pyannote[1618].speaker |
SPEAKER_26 |
transcript.pyannote[1618].start |
9680.54346875 |
transcript.pyannote[1618].end |
9684.05346875 |
transcript.pyannote[1619].speaker |
SPEAKER_26 |
transcript.pyannote[1619].start |
9684.23909375 |
transcript.pyannote[1619].end |
9723.59159375 |
transcript.pyannote[1620].speaker |
SPEAKER_20 |
transcript.pyannote[1620].start |
9724.16534375 |
transcript.pyannote[1620].end |
9727.45596875 |
transcript.pyannote[1621].speaker |
SPEAKER_29 |
transcript.pyannote[1621].start |
9728.01284375 |
transcript.pyannote[1621].end |
9732.83909375 |
transcript.pyannote[1622].speaker |
SPEAKER_29 |
transcript.pyannote[1622].start |
9733.10909375 |
transcript.pyannote[1622].end |
9747.11534375 |
transcript.pyannote[1623].speaker |
SPEAKER_29 |
transcript.pyannote[1623].start |
9747.23346875 |
transcript.pyannote[1623].end |
9750.86159375 |
transcript.pyannote[1624].speaker |
SPEAKER_29 |
transcript.pyannote[1624].start |
9751.21596875 |
transcript.pyannote[1624].end |
9753.49409375 |
transcript.pyannote[1625].speaker |
SPEAKER_29 |
transcript.pyannote[1625].start |
9753.61221875 |
transcript.pyannote[1625].end |
9758.20221875 |
transcript.pyannote[1626].speaker |
SPEAKER_26 |
transcript.pyannote[1626].start |
9756.63284375 |
transcript.pyannote[1626].end |
9757.07159375 |
transcript.pyannote[1627].speaker |
SPEAKER_26 |
transcript.pyannote[1627].start |
9758.05034375 |
transcript.pyannote[1627].end |
9762.30284375 |
transcript.pyannote[1628].speaker |
SPEAKER_20 |
transcript.pyannote[1628].start |
9761.08784375 |
transcript.pyannote[1628].end |
9762.28596875 |
transcript.pyannote[1629].speaker |
SPEAKER_20 |
transcript.pyannote[1629].start |
9762.30284375 |
transcript.pyannote[1629].end |
9779.58284375 |
transcript.pyannote[1630].speaker |
SPEAKER_26 |
transcript.pyannote[1630].start |
9763.18034375 |
transcript.pyannote[1630].end |
9763.63596875 |
transcript.pyannote[1631].speaker |
SPEAKER_26 |
transcript.pyannote[1631].start |
9765.89721875 |
transcript.pyannote[1631].end |
9766.28534375 |
transcript.pyannote[1632].speaker |
SPEAKER_22 |
transcript.pyannote[1632].start |
9766.28534375 |
transcript.pyannote[1632].end |
9766.30221875 |
transcript.pyannote[1633].speaker |
SPEAKER_26 |
transcript.pyannote[1633].start |
9780.00471875 |
transcript.pyannote[1633].end |
9783.41346875 |
transcript.pyannote[1634].speaker |
SPEAKER_06 |
transcript.pyannote[1634].start |
9784.00409375 |
transcript.pyannote[1634].end |
9787.39596875 |
transcript.pyannote[1635].speaker |
SPEAKER_06 |
transcript.pyannote[1635].start |
9789.04971875 |
transcript.pyannote[1635].end |
9791.42909375 |
transcript.pyannote[1636].speaker |
SPEAKER_24 |
transcript.pyannote[1636].start |
9799.79909375 |
transcript.pyannote[1636].end |
9801.82409375 |
transcript.pyannote[1637].speaker |
SPEAKER_06 |
transcript.pyannote[1637].start |
9806.59971875 |
transcript.pyannote[1637].end |
9807.74721875 |
transcript.pyannote[1638].speaker |
SPEAKER_20 |
transcript.pyannote[1638].start |
9811.35846875 |
transcript.pyannote[1638].end |
9811.96596875 |
transcript.pyannote[1639].speaker |
SPEAKER_24 |
transcript.pyannote[1639].start |
9812.06721875 |
transcript.pyannote[1639].end |
9815.74596875 |
transcript.pyannote[1640].speaker |
SPEAKER_24 |
transcript.pyannote[1640].start |
9816.04971875 |
transcript.pyannote[1640].end |
9821.04471875 |
transcript.pyannote[1641].speaker |
SPEAKER_24 |
transcript.pyannote[1641].start |
9821.46659375 |
transcript.pyannote[1641].end |
9827.06909375 |
transcript.pyannote[1642].speaker |
SPEAKER_24 |
transcript.pyannote[1642].start |
9827.11971875 |
transcript.pyannote[1642].end |
9830.79846875 |
transcript.pyannote[1643].speaker |
SPEAKER_24 |
transcript.pyannote[1643].start |
9831.13596875 |
transcript.pyannote[1643].end |
9835.79346875 |
transcript.pyannote[1644].speaker |
SPEAKER_24 |
transcript.pyannote[1644].start |
9836.28284375 |
transcript.pyannote[1644].end |
9840.02909375 |
transcript.pyannote[1645].speaker |
SPEAKER_24 |
transcript.pyannote[1645].start |
9840.40034375 |
transcript.pyannote[1645].end |
9842.49284375 |
transcript.pyannote[1646].speaker |
SPEAKER_24 |
transcript.pyannote[1646].start |
9842.59409375 |
transcript.pyannote[1646].end |
9847.52159375 |
transcript.pyannote[1647].speaker |
SPEAKER_24 |
transcript.pyannote[1647].start |
9848.24721875 |
transcript.pyannote[1647].end |
9849.14159375 |
transcript.pyannote[1648].speaker |
SPEAKER_24 |
transcript.pyannote[1648].start |
9849.27659375 |
transcript.pyannote[1648].end |
9850.05284375 |
transcript.pyannote[1649].speaker |
SPEAKER_24 |
transcript.pyannote[1649].start |
9850.45784375 |
transcript.pyannote[1649].end |
9854.72721875 |
transcript.pyannote[1650].speaker |
SPEAKER_24 |
transcript.pyannote[1650].start |
9855.31784375 |
transcript.pyannote[1650].end |
9855.35159375 |
transcript.pyannote[1651].speaker |
SPEAKER_20 |
transcript.pyannote[1651].start |
9855.35159375 |
transcript.pyannote[1651].end |
9855.53721875 |
transcript.pyannote[1652].speaker |
SPEAKER_24 |
transcript.pyannote[1652].start |
9855.53721875 |
transcript.pyannote[1652].end |
9855.90846875 |
transcript.pyannote[1653].speaker |
SPEAKER_20 |
transcript.pyannote[1653].start |
9855.90846875 |
transcript.pyannote[1653].end |
9855.95909375 |
transcript.pyannote[1654].speaker |
SPEAKER_24 |
transcript.pyannote[1654].start |
9855.95909375 |
transcript.pyannote[1654].end |
9856.02659375 |
transcript.pyannote[1655].speaker |
SPEAKER_20 |
transcript.pyannote[1655].start |
9856.02659375 |
transcript.pyannote[1655].end |
9873.61034375 |
transcript.pyannote[1656].speaker |
SPEAKER_24 |
transcript.pyannote[1656].start |
9873.61034375 |
transcript.pyannote[1656].end |
9877.54221875 |
transcript.pyannote[1657].speaker |
SPEAKER_24 |
transcript.pyannote[1657].start |
9878.30159375 |
transcript.pyannote[1657].end |
9878.74034375 |
transcript.pyannote[1658].speaker |
SPEAKER_20 |
transcript.pyannote[1658].start |
9878.74034375 |
transcript.pyannote[1658].end |
9878.75721875 |
transcript.pyannote[1659].speaker |
SPEAKER_24 |
transcript.pyannote[1659].start |
9879.26346875 |
transcript.pyannote[1659].end |
9880.02284375 |
transcript.pyannote[1660].speaker |
SPEAKER_20 |
transcript.pyannote[1660].start |
9880.02284375 |
transcript.pyannote[1660].end |
9894.24846875 |
transcript.pyannote[1661].speaker |
SPEAKER_24 |
transcript.pyannote[1661].start |
9894.06284375 |
transcript.pyannote[1661].end |
9894.60284375 |
transcript.pyannote[1662].speaker |
SPEAKER_20 |
transcript.pyannote[1662].start |
9894.60284375 |
transcript.pyannote[1662].end |
9894.97409375 |
transcript.pyannote[1663].speaker |
SPEAKER_24 |
transcript.pyannote[1663].start |
9894.97409375 |
transcript.pyannote[1663].end |
9907.51221875 |
transcript.pyannote[1664].speaker |
SPEAKER_00 |
transcript.pyannote[1664].start |
9901.97721875 |
transcript.pyannote[1664].end |
9902.23034375 |
transcript.pyannote[1665].speaker |
SPEAKER_00 |
transcript.pyannote[1665].start |
9903.47909375 |
transcript.pyannote[1665].end |
9903.52971875 |
transcript.pyannote[1666].speaker |
SPEAKER_24 |
transcript.pyannote[1666].start |
9908.03534375 |
transcript.pyannote[1666].end |
9909.31784375 |
transcript.pyannote[1667].speaker |
SPEAKER_24 |
transcript.pyannote[1667].start |
9909.60471875 |
transcript.pyannote[1667].end |
9911.46096875 |
transcript.pyannote[1668].speaker |
SPEAKER_24 |
transcript.pyannote[1668].start |
9911.89971875 |
transcript.pyannote[1668].end |
9915.02159375 |
transcript.pyannote[1669].speaker |
SPEAKER_24 |
transcript.pyannote[1669].start |
9915.32534375 |
transcript.pyannote[1669].end |
9929.34846875 |
transcript.pyannote[1670].speaker |
SPEAKER_24 |
transcript.pyannote[1670].start |
9929.56784375 |
transcript.pyannote[1670].end |
9929.65221875 |
transcript.pyannote[1671].speaker |
SPEAKER_20 |
transcript.pyannote[1671].start |
9929.65221875 |
transcript.pyannote[1671].end |
9946.40909375 |
transcript.pyannote[1672].speaker |
SPEAKER_24 |
transcript.pyannote[1672].start |
9935.96346875 |
transcript.pyannote[1672].end |
9936.97596875 |
transcript.pyannote[1673].speaker |
SPEAKER_24 |
transcript.pyannote[1673].start |
9945.90284375 |
transcript.pyannote[1673].end |
9952.02846875 |
transcript.pyannote[1674].speaker |
SPEAKER_20 |
transcript.pyannote[1674].start |
9952.02846875 |
transcript.pyannote[1674].end |
9961.41096875 |
transcript.pyannote[1675].speaker |
SPEAKER_24 |
transcript.pyannote[1675].start |
9955.26846875 |
transcript.pyannote[1675].end |
9957.22596875 |
transcript.pyannote[1676].speaker |
SPEAKER_24 |
transcript.pyannote[1676].start |
9961.41096875 |
transcript.pyannote[1676].end |
9981.86346875 |
transcript.pyannote[1677].speaker |
SPEAKER_20 |
transcript.pyannote[1677].start |
9981.28971875 |
transcript.pyannote[1677].end |
10004.13846875 |
transcript.pyannote[1678].speaker |
SPEAKER_24 |
transcript.pyannote[1678].start |
10004.13846875 |
transcript.pyannote[1678].end |
10010.83784375 |
transcript.pyannote[1679].speaker |
SPEAKER_22 |
transcript.pyannote[1679].start |
10010.83784375 |
transcript.pyannote[1679].end |
10011.22596875 |
transcript.pyannote[1680].speaker |
SPEAKER_24 |
transcript.pyannote[1680].start |
10011.02346875 |
transcript.pyannote[1680].end |
10014.43221875 |
transcript.pyannote[1681].speaker |
SPEAKER_24 |
transcript.pyannote[1681].start |
10015.42784375 |
transcript.pyannote[1681].end |
10025.02971875 |
transcript.pyannote[1682].speaker |
SPEAKER_20 |
transcript.pyannote[1682].start |
10025.02971875 |
transcript.pyannote[1682].end |
10025.56971875 |
transcript.pyannote[1683].speaker |
SPEAKER_24 |
transcript.pyannote[1683].start |
10026.32909375 |
transcript.pyannote[1683].end |
10026.34596875 |
transcript.pyannote[1684].speaker |
SPEAKER_20 |
transcript.pyannote[1684].start |
10026.34596875 |
transcript.pyannote[1684].end |
10033.29846875 |
transcript.pyannote[1685].speaker |
SPEAKER_20 |
transcript.pyannote[1685].start |
10033.34909375 |
transcript.pyannote[1685].end |
10033.36596875 |
transcript.pyannote[1686].speaker |
SPEAKER_24 |
transcript.pyannote[1686].start |
10033.38284375 |
transcript.pyannote[1686].end |
10070.99721875 |
transcript.pyannote[1687].speaker |
SPEAKER_22 |
transcript.pyannote[1687].start |
10053.54846875 |
transcript.pyannote[1687].end |
10053.58221875 |
transcript.pyannote[1688].speaker |
SPEAKER_22 |
transcript.pyannote[1688].start |
10058.52659375 |
transcript.pyannote[1688].end |
10058.79659375 |
transcript.pyannote[1689].speaker |
SPEAKER_20 |
transcript.pyannote[1689].start |
10070.30534375 |
transcript.pyannote[1689].end |
10087.95659375 |
transcript.pyannote[1690].speaker |
SPEAKER_24 |
transcript.pyannote[1690].start |
10087.95659375 |
transcript.pyannote[1690].end |
10093.89659375 |
transcript.pyannote[1691].speaker |
SPEAKER_20 |
transcript.pyannote[1691].start |
10092.96846875 |
transcript.pyannote[1691].end |
10093.37346875 |
transcript.pyannote[1692].speaker |
SPEAKER_06 |
transcript.pyannote[1692].start |
10094.50409375 |
transcript.pyannote[1692].end |
10096.95096875 |
transcript.pyannote[1693].speaker |
SPEAKER_06 |
transcript.pyannote[1693].start |
10097.23784375 |
transcript.pyannote[1693].end |
10106.97471875 |
transcript.pyannote[1694].speaker |
SPEAKER_31 |
transcript.pyannote[1694].start |
10114.26471875 |
transcript.pyannote[1694].end |
10117.40346875 |
transcript.pyannote[1695].speaker |
SPEAKER_06 |
transcript.pyannote[1695].start |
10117.70721875 |
transcript.pyannote[1695].end |
10118.65221875 |
transcript.pyannote[1696].speaker |
SPEAKER_20 |
transcript.pyannote[1696].start |
10123.93409375 |
transcript.pyannote[1696].end |
10124.45721875 |
transcript.pyannote[1697].speaker |
SPEAKER_31 |
transcript.pyannote[1697].start |
10124.60909375 |
transcript.pyannote[1697].end |
10125.52034375 |
transcript.pyannote[1698].speaker |
SPEAKER_31 |
transcript.pyannote[1698].start |
10126.27971875 |
transcript.pyannote[1698].end |
10128.50721875 |
transcript.pyannote[1699].speaker |
SPEAKER_31 |
transcript.pyannote[1699].start |
10128.86159375 |
transcript.pyannote[1699].end |
10131.42659375 |
transcript.pyannote[1700].speaker |
SPEAKER_31 |
transcript.pyannote[1700].start |
10131.96659375 |
transcript.pyannote[1700].end |
10134.34596875 |
transcript.pyannote[1701].speaker |
SPEAKER_31 |
transcript.pyannote[1701].start |
10134.81846875 |
transcript.pyannote[1701].end |
10136.23596875 |
transcript.pyannote[1702].speaker |
SPEAKER_31 |
transcript.pyannote[1702].start |
10136.60721875 |
transcript.pyannote[1702].end |
10148.09909375 |
transcript.pyannote[1703].speaker |
SPEAKER_31 |
transcript.pyannote[1703].start |
10148.58846875 |
transcript.pyannote[1703].end |
10155.20346875 |
transcript.pyannote[1704].speaker |
SPEAKER_31 |
transcript.pyannote[1704].start |
10155.69284375 |
transcript.pyannote[1704].end |
10158.29159375 |
transcript.pyannote[1705].speaker |
SPEAKER_31 |
transcript.pyannote[1705].start |
10158.64596875 |
transcript.pyannote[1705].end |
10159.84409375 |
transcript.pyannote[1706].speaker |
SPEAKER_31 |
transcript.pyannote[1706].start |
10160.11409375 |
transcript.pyannote[1706].end |
10161.39659375 |
transcript.pyannote[1707].speaker |
SPEAKER_31 |
transcript.pyannote[1707].start |
10162.05471875 |
transcript.pyannote[1707].end |
10163.21909375 |
transcript.pyannote[1708].speaker |
SPEAKER_20 |
transcript.pyannote[1708].start |
10163.40471875 |
transcript.pyannote[1708].end |
10165.54784375 |
transcript.pyannote[1709].speaker |
SPEAKER_31 |
transcript.pyannote[1709].start |
10165.49721875 |
transcript.pyannote[1709].end |
10166.50971875 |
transcript.pyannote[1710].speaker |
SPEAKER_20 |
transcript.pyannote[1710].start |
10166.15534375 |
transcript.pyannote[1710].end |
10166.49284375 |
transcript.pyannote[1711].speaker |
SPEAKER_20 |
transcript.pyannote[1711].start |
10166.50971875 |
transcript.pyannote[1711].end |
10166.56034375 |
transcript.pyannote[1712].speaker |
SPEAKER_31 |
transcript.pyannote[1712].start |
10167.57284375 |
transcript.pyannote[1712].end |
10181.46096875 |
transcript.pyannote[1713].speaker |
SPEAKER_31 |
transcript.pyannote[1713].start |
10182.16971875 |
transcript.pyannote[1713].end |
10184.21159375 |
transcript.pyannote[1714].speaker |
SPEAKER_31 |
transcript.pyannote[1714].start |
10184.26221875 |
transcript.pyannote[1714].end |
10185.54471875 |
transcript.pyannote[1715].speaker |
SPEAKER_31 |
transcript.pyannote[1715].start |
10185.71346875 |
transcript.pyannote[1715].end |
10189.37534375 |
transcript.pyannote[1716].speaker |
SPEAKER_31 |
transcript.pyannote[1716].start |
10189.61159375 |
transcript.pyannote[1716].end |
10197.91409375 |
transcript.pyannote[1717].speaker |
SPEAKER_31 |
transcript.pyannote[1717].start |
10198.08284375 |
transcript.pyannote[1717].end |
10206.57096875 |
transcript.pyannote[1718].speaker |
SPEAKER_31 |
transcript.pyannote[1718].start |
10206.75659375 |
transcript.pyannote[1718].end |
10207.46534375 |
transcript.pyannote[1719].speaker |
SPEAKER_31 |
transcript.pyannote[1719].start |
10207.97159375 |
transcript.pyannote[1719].end |
10208.51159375 |
transcript.pyannote[1720].speaker |
SPEAKER_31 |
transcript.pyannote[1720].start |
10208.96721875 |
transcript.pyannote[1720].end |
10215.41346875 |
transcript.pyannote[1721].speaker |
SPEAKER_31 |
transcript.pyannote[1721].start |
10216.39221875 |
transcript.pyannote[1721].end |
10219.05846875 |
transcript.pyannote[1722].speaker |
SPEAKER_21 |
transcript.pyannote[1722].start |
10219.96971875 |
transcript.pyannote[1722].end |
10220.18909375 |
transcript.pyannote[1723].speaker |
SPEAKER_31 |
transcript.pyannote[1723].start |
10220.18909375 |
transcript.pyannote[1723].end |
10222.02846875 |
transcript.pyannote[1724].speaker |
SPEAKER_21 |
transcript.pyannote[1724].start |
10220.20596875 |
transcript.pyannote[1724].end |
10220.56034375 |
transcript.pyannote[1725].speaker |
SPEAKER_31 |
transcript.pyannote[1725].start |
10222.31534375 |
transcript.pyannote[1725].end |
10223.86784375 |
transcript.pyannote[1726].speaker |
SPEAKER_31 |
transcript.pyannote[1726].start |
10224.18846875 |
transcript.pyannote[1726].end |
10230.98909375 |
transcript.pyannote[1727].speaker |
SPEAKER_22 |
transcript.pyannote[1727].start |
10232.06909375 |
transcript.pyannote[1727].end |
10232.42346875 |
transcript.pyannote[1728].speaker |
SPEAKER_31 |
transcript.pyannote[1728].start |
10232.54159375 |
transcript.pyannote[1728].end |
10235.86596875 |
transcript.pyannote[1729].speaker |
SPEAKER_20 |
transcript.pyannote[1729].start |
10235.98409375 |
transcript.pyannote[1729].end |
10240.01721875 |
transcript.pyannote[1730].speaker |
SPEAKER_31 |
transcript.pyannote[1730].start |
10238.95409375 |
transcript.pyannote[1730].end |
10240.40534375 |
transcript.pyannote[1731].speaker |
SPEAKER_31 |
transcript.pyannote[1731].start |
10240.70909375 |
transcript.pyannote[1731].end |
10244.60721875 |
transcript.pyannote[1732].speaker |
SPEAKER_20 |
transcript.pyannote[1732].start |
10244.15159375 |
transcript.pyannote[1732].end |
10246.85159375 |
transcript.pyannote[1733].speaker |
SPEAKER_31 |
transcript.pyannote[1733].start |
10246.09221875 |
transcript.pyannote[1733].end |
10247.94846875 |
transcript.pyannote[1734].speaker |
SPEAKER_20 |
transcript.pyannote[1734].start |
10247.52659375 |
transcript.pyannote[1734].end |
10251.54284375 |
transcript.pyannote[1735].speaker |
SPEAKER_31 |
transcript.pyannote[1735].start |
10251.00284375 |
transcript.pyannote[1735].end |
10256.68971875 |
transcript.pyannote[1736].speaker |
SPEAKER_20 |
transcript.pyannote[1736].start |
10252.26846875 |
transcript.pyannote[1736].end |
10252.60596875 |
transcript.pyannote[1737].speaker |
SPEAKER_31 |
transcript.pyannote[1737].start |
10256.79096875 |
transcript.pyannote[1737].end |
10258.07346875 |
transcript.pyannote[1738].speaker |
SPEAKER_20 |
transcript.pyannote[1738].start |
10257.56721875 |
transcript.pyannote[1738].end |
10260.38534375 |
transcript.pyannote[1739].speaker |
SPEAKER_31 |
transcript.pyannote[1739].start |
10259.35596875 |
transcript.pyannote[1739].end |
10264.23284375 |
transcript.pyannote[1740].speaker |
SPEAKER_31 |
transcript.pyannote[1740].start |
10264.63784375 |
transcript.pyannote[1740].end |
10268.89034375 |
transcript.pyannote[1741].speaker |
SPEAKER_31 |
transcript.pyannote[1741].start |
10269.73409375 |
transcript.pyannote[1741].end |
10273.21034375 |
transcript.pyannote[1742].speaker |
SPEAKER_31 |
transcript.pyannote[1742].start |
10273.59846875 |
transcript.pyannote[1742].end |
10277.53034375 |
transcript.pyannote[1743].speaker |
SPEAKER_31 |
transcript.pyannote[1743].start |
10278.05346875 |
transcript.pyannote[1743].end |
10279.35284375 |
transcript.pyannote[1744].speaker |
SPEAKER_31 |
transcript.pyannote[1744].start |
10280.16284375 |
transcript.pyannote[1744].end |
10287.38534375 |
transcript.pyannote[1745].speaker |
SPEAKER_31 |
transcript.pyannote[1745].start |
10287.73971875 |
transcript.pyannote[1745].end |
10294.87784375 |
transcript.pyannote[1746].speaker |
SPEAKER_31 |
transcript.pyannote[1746].start |
10295.16471875 |
transcript.pyannote[1746].end |
10308.85034375 |
transcript.pyannote[1747].speaker |
SPEAKER_31 |
transcript.pyannote[1747].start |
10309.39034375 |
transcript.pyannote[1747].end |
10313.33909375 |
transcript.pyannote[1748].speaker |
SPEAKER_31 |
transcript.pyannote[1748].start |
10313.77784375 |
transcript.pyannote[1748].end |
10318.46909375 |
transcript.pyannote[1749].speaker |
SPEAKER_22 |
transcript.pyannote[1749].start |
10318.63784375 |
transcript.pyannote[1749].end |
10318.67159375 |
transcript.pyannote[1750].speaker |
SPEAKER_31 |
transcript.pyannote[1750].start |
10319.14409375 |
transcript.pyannote[1750].end |
10319.49846875 |
transcript.pyannote[1751].speaker |
SPEAKER_31 |
transcript.pyannote[1751].start |
10320.32534375 |
transcript.pyannote[1751].end |
10322.31659375 |
transcript.pyannote[1752].speaker |
SPEAKER_31 |
transcript.pyannote[1752].start |
10322.75534375 |
transcript.pyannote[1752].end |
10323.21096875 |
transcript.pyannote[1753].speaker |
SPEAKER_31 |
transcript.pyannote[1753].start |
10323.80159375 |
transcript.pyannote[1753].end |
10325.72534375 |
transcript.pyannote[1754].speaker |
SPEAKER_31 |
transcript.pyannote[1754].start |
10325.79284375 |
transcript.pyannote[1754].end |
10327.51409375 |
transcript.pyannote[1755].speaker |
SPEAKER_31 |
transcript.pyannote[1755].start |
10327.96971875 |
transcript.pyannote[1755].end |
10336.74471875 |
transcript.pyannote[1756].speaker |
SPEAKER_31 |
transcript.pyannote[1756].start |
10337.43659375 |
transcript.pyannote[1756].end |
10342.68471875 |
transcript.pyannote[1757].speaker |
SPEAKER_31 |
transcript.pyannote[1757].start |
10343.05596875 |
transcript.pyannote[1757].end |
10345.38471875 |
transcript.pyannote[1758].speaker |
SPEAKER_20 |
transcript.pyannote[1758].start |
10344.96284375 |
transcript.pyannote[1758].end |
10349.02971875 |
transcript.pyannote[1759].speaker |
SPEAKER_31 |
transcript.pyannote[1759].start |
10346.24534375 |
transcript.pyannote[1759].end |
10346.78534375 |
transcript.pyannote[1760].speaker |
SPEAKER_31 |
transcript.pyannote[1760].start |
10347.20721875 |
transcript.pyannote[1760].end |
10350.86909375 |
transcript.pyannote[1761].speaker |
SPEAKER_20 |
transcript.pyannote[1761].start |
10349.21534375 |
transcript.pyannote[1761].end |
10350.46409375 |
transcript.pyannote[1762].speaker |
SPEAKER_31 |
transcript.pyannote[1762].start |
10351.39221875 |
transcript.pyannote[1762].end |
10356.40409375 |
transcript.pyannote[1763].speaker |
SPEAKER_31 |
transcript.pyannote[1763].start |
10357.26471875 |
transcript.pyannote[1763].end |
10362.04034375 |
transcript.pyannote[1764].speaker |
SPEAKER_27 |
transcript.pyannote[1764].start |
10362.46221875 |
transcript.pyannote[1764].end |
10362.78284375 |
transcript.pyannote[1765].speaker |
SPEAKER_31 |
transcript.pyannote[1765].start |
10362.78284375 |
transcript.pyannote[1765].end |
10364.03159375 |
transcript.pyannote[1766].speaker |
SPEAKER_27 |
transcript.pyannote[1766].start |
10364.45346875 |
transcript.pyannote[1766].end |
10366.93409375 |
transcript.pyannote[1767].speaker |
SPEAKER_31 |
transcript.pyannote[1767].start |
10364.48721875 |
transcript.pyannote[1767].end |
10371.22034375 |
transcript.pyannote[1768].speaker |
SPEAKER_21 |
transcript.pyannote[1768].start |
10366.93409375 |
transcript.pyannote[1768].end |
10366.95096875 |
transcript.pyannote[1769].speaker |
SPEAKER_27 |
transcript.pyannote[1769].start |
10367.17034375 |
transcript.pyannote[1769].end |
10369.24596875 |
transcript.pyannote[1770].speaker |
SPEAKER_31 |
transcript.pyannote[1770].start |
10371.25409375 |
transcript.pyannote[1770].end |
10373.49846875 |
transcript.pyannote[1771].speaker |
SPEAKER_31 |
transcript.pyannote[1771].start |
10373.78534375 |
transcript.pyannote[1771].end |
10374.88221875 |
transcript.pyannote[1772].speaker |
SPEAKER_31 |
transcript.pyannote[1772].start |
10375.05096875 |
transcript.pyannote[1772].end |
10410.99471875 |
transcript.pyannote[1773].speaker |
SPEAKER_27 |
transcript.pyannote[1773].start |
10401.49409375 |
transcript.pyannote[1773].end |
10405.35846875 |
transcript.pyannote[1774].speaker |
SPEAKER_20 |
transcript.pyannote[1774].start |
10405.35846875 |
transcript.pyannote[1774].end |
10405.67909375 |
transcript.pyannote[1775].speaker |
SPEAKER_27 |
transcript.pyannote[1775].start |
10405.67909375 |
transcript.pyannote[1775].end |
10406.64096875 |
transcript.pyannote[1776].speaker |
SPEAKER_20 |
transcript.pyannote[1776].start |
10406.64096875 |
transcript.pyannote[1776].end |
10406.74221875 |
transcript.pyannote[1777].speaker |
SPEAKER_20 |
transcript.pyannote[1777].start |
10411.14659375 |
transcript.pyannote[1777].end |
10422.26721875 |
transcript.pyannote[1778].speaker |
SPEAKER_31 |
transcript.pyannote[1778].start |
10412.20971875 |
transcript.pyannote[1778].end |
10414.62284375 |
transcript.pyannote[1779].speaker |
SPEAKER_31 |
transcript.pyannote[1779].start |
10414.92659375 |
transcript.pyannote[1779].end |
10416.63096875 |
transcript.pyannote[1780].speaker |
SPEAKER_31 |
transcript.pyannote[1780].start |
10417.67721875 |
transcript.pyannote[1780].end |
10424.27534375 |
transcript.pyannote[1781].speaker |
SPEAKER_31 |
transcript.pyannote[1781].start |
10424.81534375 |
transcript.pyannote[1781].end |
10426.58721875 |
transcript.pyannote[1782].speaker |
SPEAKER_31 |
transcript.pyannote[1782].start |
10427.07659375 |
transcript.pyannote[1782].end |
10428.91596875 |
transcript.pyannote[1783].speaker |
SPEAKER_20 |
transcript.pyannote[1783].start |
10428.51096875 |
transcript.pyannote[1783].end |
10435.19346875 |
transcript.pyannote[1784].speaker |
SPEAKER_31 |
transcript.pyannote[1784].start |
10430.40096875 |
transcript.pyannote[1784].end |
10433.03346875 |
transcript.pyannote[1785].speaker |
SPEAKER_31 |
transcript.pyannote[1785].start |
10433.45534375 |
transcript.pyannote[1785].end |
10436.94846875 |
transcript.pyannote[1786].speaker |
SPEAKER_31 |
transcript.pyannote[1786].start |
10437.52221875 |
transcript.pyannote[1786].end |
10442.26409375 |
transcript.pyannote[1787].speaker |
SPEAKER_31 |
transcript.pyannote[1787].start |
10442.29784375 |
transcript.pyannote[1787].end |
10443.46221875 |
transcript.pyannote[1788].speaker |
SPEAKER_31 |
transcript.pyannote[1788].start |
10443.69846875 |
transcript.pyannote[1788].end |
10445.31846875 |
transcript.pyannote[1789].speaker |
SPEAKER_31 |
transcript.pyannote[1789].start |
10445.58846875 |
transcript.pyannote[1789].end |
10458.44721875 |
transcript.pyannote[1790].speaker |
SPEAKER_27 |
transcript.pyannote[1790].start |
10446.43221875 |
transcript.pyannote[1790].end |
10446.97221875 |
transcript.pyannote[1791].speaker |
SPEAKER_22 |
transcript.pyannote[1791].start |
10446.97221875 |
transcript.pyannote[1791].end |
10447.02284375 |
transcript.pyannote[1792].speaker |
SPEAKER_27 |
transcript.pyannote[1792].start |
10447.02284375 |
transcript.pyannote[1792].end |
10447.57971875 |
transcript.pyannote[1793].speaker |
SPEAKER_22 |
transcript.pyannote[1793].start |
10447.57971875 |
transcript.pyannote[1793].end |
10447.63034375 |
transcript.pyannote[1794].speaker |
SPEAKER_00 |
transcript.pyannote[1794].start |
10447.63034375 |
transcript.pyannote[1794].end |
10447.69784375 |
transcript.pyannote[1795].speaker |
SPEAKER_31 |
transcript.pyannote[1795].start |
10458.76784375 |
transcript.pyannote[1795].end |
10460.23596875 |
transcript.pyannote[1796].speaker |
SPEAKER_31 |
transcript.pyannote[1796].start |
10461.13034375 |
transcript.pyannote[1796].end |
10464.87659375 |
transcript.pyannote[1797].speaker |
SPEAKER_20 |
transcript.pyannote[1797].start |
10465.66971875 |
transcript.pyannote[1797].end |
10471.59284375 |
transcript.pyannote[1798].speaker |
SPEAKER_31 |
transcript.pyannote[1798].start |
10465.82159375 |
transcript.pyannote[1798].end |
10467.93096875 |
transcript.pyannote[1799].speaker |
SPEAKER_31 |
transcript.pyannote[1799].start |
10470.66471875 |
transcript.pyannote[1799].end |
10474.79909375 |
transcript.pyannote[1800].speaker |
SPEAKER_20 |
transcript.pyannote[1800].start |
10475.30534375 |
transcript.pyannote[1800].end |
10476.84096875 |
transcript.pyannote[1801].speaker |
SPEAKER_31 |
transcript.pyannote[1801].start |
10475.94659375 |
transcript.pyannote[1801].end |
10485.53159375 |
transcript.pyannote[1802].speaker |
SPEAKER_06 |
transcript.pyannote[1802].start |
10485.53159375 |
transcript.pyannote[1802].end |
10485.54846875 |
transcript.pyannote[1803].speaker |
SPEAKER_21 |
transcript.pyannote[1803].start |
10485.59909375 |
transcript.pyannote[1803].end |
10486.18971875 |
transcript.pyannote[1804].speaker |
SPEAKER_31 |
transcript.pyannote[1804].start |
10486.62846875 |
transcript.pyannote[1804].end |
10486.64534375 |
transcript.pyannote[1805].speaker |
SPEAKER_06 |
transcript.pyannote[1805].start |
10486.64534375 |
transcript.pyannote[1805].end |
10489.29471875 |
transcript.pyannote[1806].speaker |
SPEAKER_31 |
transcript.pyannote[1806].start |
10487.43846875 |
transcript.pyannote[1806].end |
10487.53971875 |
transcript.pyannote[1807].speaker |
SPEAKER_06 |
transcript.pyannote[1807].start |
10489.86846875 |
transcript.pyannote[1807].end |
10493.20971875 |
transcript.pyannote[1808].speaker |
SPEAKER_25 |
transcript.pyannote[1808].start |
10501.07346875 |
transcript.pyannote[1808].end |
10503.11534375 |
transcript.pyannote[1809].speaker |
SPEAKER_06 |
transcript.pyannote[1809].start |
10504.85346875 |
transcript.pyannote[1809].end |
10506.67596875 |
transcript.pyannote[1810].speaker |
SPEAKER_25 |
transcript.pyannote[1810].start |
10509.02159375 |
transcript.pyannote[1810].end |
10509.62909375 |
transcript.pyannote[1811].speaker |
SPEAKER_25 |
transcript.pyannote[1811].start |
10510.23659375 |
transcript.pyannote[1811].end |
10527.19596875 |
transcript.pyannote[1812].speaker |
SPEAKER_20 |
transcript.pyannote[1812].start |
10526.48721875 |
transcript.pyannote[1812].end |
10528.61346875 |
transcript.pyannote[1813].speaker |
SPEAKER_25 |
transcript.pyannote[1813].start |
10528.86659375 |
transcript.pyannote[1813].end |
10578.59721875 |
transcript.pyannote[1814].speaker |
SPEAKER_20 |
transcript.pyannote[1814].start |
10579.35659375 |
transcript.pyannote[1814].end |
10586.68034375 |
transcript.pyannote[1815].speaker |
SPEAKER_15 |
transcript.pyannote[1815].start |
10586.68034375 |
transcript.pyannote[1815].end |
10601.73284375 |
transcript.pyannote[1816].speaker |
SPEAKER_25 |
transcript.pyannote[1816].start |
10594.86471875 |
transcript.pyannote[1816].end |
10595.48909375 |
transcript.pyannote[1817].speaker |
SPEAKER_25 |
transcript.pyannote[1817].start |
10596.94034375 |
transcript.pyannote[1817].end |
10597.66596875 |
transcript.pyannote[1818].speaker |
SPEAKER_25 |
transcript.pyannote[1818].start |
10601.73284375 |
transcript.pyannote[1818].end |
10739.55096875 |
transcript.pyannote[1819].speaker |
SPEAKER_25 |
transcript.pyannote[1819].start |
10739.83784375 |
transcript.pyannote[1819].end |
10750.16534375 |
transcript.pyannote[1820].speaker |
SPEAKER_25 |
transcript.pyannote[1820].start |
10750.77284375 |
transcript.pyannote[1820].end |
10791.35721875 |
transcript.pyannote[1821].speaker |
SPEAKER_20 |
transcript.pyannote[1821].start |
10791.94784375 |
transcript.pyannote[1821].end |
10793.95596875 |
transcript.pyannote[1822].speaker |
SPEAKER_20 |
transcript.pyannote[1822].start |
10795.15409375 |
transcript.pyannote[1822].end |
10805.81909375 |
transcript.pyannote[1823].speaker |
SPEAKER_22 |
transcript.pyannote[1823].start |
10805.81909375 |
transcript.pyannote[1823].end |
10806.62909375 |
transcript.pyannote[1824].speaker |
SPEAKER_20 |
transcript.pyannote[1824].start |
10806.17346875 |
transcript.pyannote[1824].end |
10819.74096875 |
transcript.pyannote[1825].speaker |
SPEAKER_22 |
transcript.pyannote[1825].start |
10820.26409375 |
transcript.pyannote[1825].end |
10820.60159375 |
transcript.pyannote[1826].speaker |
SPEAKER_06 |
transcript.pyannote[1826].start |
10820.60159375 |
transcript.pyannote[1826].end |
10820.65221875 |
transcript.pyannote[1827].speaker |
SPEAKER_22 |
transcript.pyannote[1827].start |
10820.65221875 |
transcript.pyannote[1827].end |
10820.68596875 |
transcript.pyannote[1828].speaker |
SPEAKER_06 |
transcript.pyannote[1828].start |
10820.88846875 |
transcript.pyannote[1828].end |
10830.20346875 |
transcript.pyannote[1829].speaker |
SPEAKER_06 |
transcript.pyannote[1829].start |
10831.06409375 |
transcript.pyannote[1829].end |
10833.91596875 |
transcript.pyannote[1830].speaker |
SPEAKER_09 |
transcript.pyannote[1830].start |
10841.22284375 |
transcript.pyannote[1830].end |
10844.59784375 |
transcript.pyannote[1831].speaker |
SPEAKER_06 |
transcript.pyannote[1831].start |
10845.79596875 |
transcript.pyannote[1831].end |
10847.55096875 |
transcript.pyannote[1832].speaker |
SPEAKER_06 |
transcript.pyannote[1832].start |
10847.90534375 |
transcript.pyannote[1832].end |
10848.63096875 |
transcript.pyannote[1833].speaker |
SPEAKER_20 |
transcript.pyannote[1833].start |
10851.36471875 |
transcript.pyannote[1833].end |
10852.32659375 |
transcript.pyannote[1834].speaker |
SPEAKER_09 |
transcript.pyannote[1834].start |
10852.32659375 |
transcript.pyannote[1834].end |
10854.03096875 |
transcript.pyannote[1835].speaker |
SPEAKER_09 |
transcript.pyannote[1835].start |
10854.41909375 |
transcript.pyannote[1835].end |
10864.91534375 |
transcript.pyannote[1836].speaker |
SPEAKER_20 |
transcript.pyannote[1836].start |
10865.16846875 |
transcript.pyannote[1836].end |
10865.84346875 |
transcript.pyannote[1837].speaker |
SPEAKER_09 |
transcript.pyannote[1837].start |
10866.21471875 |
transcript.pyannote[1837].end |
10866.56909375 |
transcript.pyannote[1838].speaker |
SPEAKER_09 |
transcript.pyannote[1838].start |
10866.95721875 |
transcript.pyannote[1838].end |
10880.81159375 |
transcript.pyannote[1839].speaker |
SPEAKER_09 |
transcript.pyannote[1839].start |
10881.31784375 |
transcript.pyannote[1839].end |
10894.27784375 |
transcript.pyannote[1840].speaker |
SPEAKER_09 |
transcript.pyannote[1840].start |
10894.44659375 |
transcript.pyannote[1840].end |
10894.78409375 |
transcript.pyannote[1841].speaker |
SPEAKER_09 |
transcript.pyannote[1841].start |
10894.90221875 |
transcript.pyannote[1841].end |
10900.63971875 |
transcript.pyannote[1842].speaker |
SPEAKER_20 |
transcript.pyannote[1842].start |
10900.57221875 |
transcript.pyannote[1842].end |
10900.58909375 |
transcript.pyannote[1843].speaker |
SPEAKER_20 |
transcript.pyannote[1843].start |
10900.63971875 |
transcript.pyannote[1843].end |
10900.79159375 |
transcript.pyannote[1844].speaker |
SPEAKER_09 |
transcript.pyannote[1844].start |
10900.79159375 |
transcript.pyannote[1844].end |
10901.90534375 |
transcript.pyannote[1845].speaker |
SPEAKER_20 |
transcript.pyannote[1845].start |
10902.07409375 |
transcript.pyannote[1845].end |
10912.11471875 |
transcript.pyannote[1846].speaker |
SPEAKER_20 |
transcript.pyannote[1846].start |
10912.58721875 |
transcript.pyannote[1846].end |
10917.66659375 |
transcript.pyannote[1847].speaker |
SPEAKER_09 |
transcript.pyannote[1847].start |
10916.63721875 |
transcript.pyannote[1847].end |
10937.46096875 |
transcript.pyannote[1848].speaker |
SPEAKER_09 |
transcript.pyannote[1848].start |
10937.84909375 |
transcript.pyannote[1848].end |
10960.76534375 |
transcript.pyannote[1849].speaker |
SPEAKER_09 |
transcript.pyannote[1849].start |
10961.25471875 |
transcript.pyannote[1849].end |
10962.45284375 |
transcript.pyannote[1850].speaker |
SPEAKER_09 |
transcript.pyannote[1850].start |
10963.19534375 |
transcript.pyannote[1850].end |
10966.40159375 |
transcript.pyannote[1851].speaker |
SPEAKER_20 |
transcript.pyannote[1851].start |
10964.03909375 |
transcript.pyannote[1851].end |
10968.59534375 |
transcript.pyannote[1852].speaker |
SPEAKER_20 |
transcript.pyannote[1852].start |
10968.96659375 |
transcript.pyannote[1852].end |
10972.13909375 |
transcript.pyannote[1853].speaker |
SPEAKER_20 |
transcript.pyannote[1853].start |
10972.79721875 |
transcript.pyannote[1853].end |
10980.17159375 |
transcript.pyannote[1854].speaker |
SPEAKER_27 |
transcript.pyannote[1854].start |
10974.85596875 |
transcript.pyannote[1854].end |
10976.00346875 |
transcript.pyannote[1855].speaker |
SPEAKER_20 |
transcript.pyannote[1855].start |
10981.20096875 |
transcript.pyannote[1855].end |
10983.96846875 |
transcript.pyannote[1856].speaker |
SPEAKER_09 |
transcript.pyannote[1856].start |
10983.96846875 |
transcript.pyannote[1856].end |
10990.97159375 |
transcript.pyannote[1857].speaker |
SPEAKER_27 |
transcript.pyannote[1857].start |
10985.01471875 |
transcript.pyannote[1857].end |
10986.12846875 |
transcript.pyannote[1858].speaker |
SPEAKER_27 |
transcript.pyannote[1858].start |
10986.21284375 |
transcript.pyannote[1858].end |
10986.48284375 |
transcript.pyannote[1859].speaker |
SPEAKER_27 |
transcript.pyannote[1859].start |
10987.49534375 |
transcript.pyannote[1859].end |
10988.62596875 |
transcript.pyannote[1860].speaker |
SPEAKER_27 |
transcript.pyannote[1860].start |
10989.33471875 |
transcript.pyannote[1860].end |
10989.35159375 |
transcript.pyannote[1861].speaker |
SPEAKER_27 |
transcript.pyannote[1861].start |
10989.97596875 |
transcript.pyannote[1861].end |
10990.54971875 |
transcript.pyannote[1862].speaker |
SPEAKER_20 |
transcript.pyannote[1862].start |
10990.97159375 |
transcript.pyannote[1862].end |
10991.03909375 |
transcript.pyannote[1863].speaker |
SPEAKER_09 |
transcript.pyannote[1863].start |
10991.03909375 |
transcript.pyannote[1863].end |
10993.80659375 |
transcript.pyannote[1864].speaker |
SPEAKER_27 |
transcript.pyannote[1864].start |
10991.68034375 |
transcript.pyannote[1864].end |
10993.97534375 |
transcript.pyannote[1865].speaker |
SPEAKER_20 |
transcript.pyannote[1865].start |
10993.97534375 |
transcript.pyannote[1865].end |
10994.97096875 |
transcript.pyannote[1866].speaker |
SPEAKER_09 |
transcript.pyannote[1866].start |
10994.97096875 |
transcript.pyannote[1866].end |
11011.76159375 |
transcript.pyannote[1867].speaker |
SPEAKER_27 |
transcript.pyannote[1867].start |
10996.23659375 |
transcript.pyannote[1867].end |
10996.84409375 |
transcript.pyannote[1868].speaker |
SPEAKER_27 |
transcript.pyannote[1868].start |
11000.10096875 |
transcript.pyannote[1868].end |
11002.09221875 |
transcript.pyannote[1869].speaker |
SPEAKER_27 |
transcript.pyannote[1869].start |
11004.28596875 |
transcript.pyannote[1869].end |
11004.89346875 |
transcript.pyannote[1870].speaker |
SPEAKER_27 |
transcript.pyannote[1870].start |
11004.92721875 |
transcript.pyannote[1870].end |
11004.94409375 |
transcript.pyannote[1871].speaker |
SPEAKER_27 |
transcript.pyannote[1871].start |
11005.02846875 |
transcript.pyannote[1871].end |
11005.18034375 |
transcript.pyannote[1872].speaker |
SPEAKER_27 |
transcript.pyannote[1872].start |
11005.46721875 |
transcript.pyannote[1872].end |
11006.63159375 |
transcript.pyannote[1873].speaker |
SPEAKER_27 |
transcript.pyannote[1873].start |
11008.28534375 |
transcript.pyannote[1873].end |
11010.96846875 |
transcript.pyannote[1874].speaker |
SPEAKER_24 |
transcript.pyannote[1874].start |
11010.96846875 |
transcript.pyannote[1874].end |
11015.59221875 |
transcript.pyannote[1875].speaker |
SPEAKER_09 |
transcript.pyannote[1875].start |
11012.13284375 |
transcript.pyannote[1875].end |
11021.59971875 |
transcript.pyannote[1876].speaker |
SPEAKER_06 |
transcript.pyannote[1876].start |
11015.59221875 |
transcript.pyannote[1876].end |
11015.60909375 |
transcript.pyannote[1877].speaker |
SPEAKER_24 |
transcript.pyannote[1877].start |
11015.60909375 |
transcript.pyannote[1877].end |
11015.62596875 |
transcript.pyannote[1878].speaker |
SPEAKER_06 |
transcript.pyannote[1878].start |
11018.83221875 |
transcript.pyannote[1878].end |
11024.73846875 |
transcript.pyannote[1879].speaker |
SPEAKER_09 |
transcript.pyannote[1879].start |
11022.59534375 |
transcript.pyannote[1879].end |
11023.62471875 |
transcript.pyannote[1880].speaker |
SPEAKER_09 |
transcript.pyannote[1880].start |
11025.16034375 |
transcript.pyannote[1880].end |
11030.57721875 |
transcript.pyannote[1881].speaker |
SPEAKER_09 |
transcript.pyannote[1881].start |
11030.71221875 |
transcript.pyannote[1881].end |
11035.90971875 |
transcript.pyannote[1882].speaker |
SPEAKER_09 |
transcript.pyannote[1882].start |
11036.31471875 |
transcript.pyannote[1882].end |
11066.74034375 |
transcript.pyannote[1883].speaker |
SPEAKER_09 |
transcript.pyannote[1883].start |
11067.29721875 |
transcript.pyannote[1883].end |
11067.61784375 |
transcript.pyannote[1884].speaker |
SPEAKER_09 |
transcript.pyannote[1884].start |
11067.78659375 |
transcript.pyannote[1884].end |
11077.42221875 |
transcript.pyannote[1885].speaker |
SPEAKER_20 |
transcript.pyannote[1885].start |
11077.97909375 |
transcript.pyannote[1885].end |
11081.72534375 |
transcript.pyannote[1886].speaker |
SPEAKER_09 |
transcript.pyannote[1886].start |
11080.74659375 |
transcript.pyannote[1886].end |
11093.11596875 |
transcript.pyannote[1887].speaker |
SPEAKER_20 |
transcript.pyannote[1887].start |
11093.90909375 |
transcript.pyannote[1887].end |
11100.96284375 |
transcript.pyannote[1888].speaker |
SPEAKER_20 |
transcript.pyannote[1888].start |
11101.28346875 |
transcript.pyannote[1888].end |
11102.66721875 |
transcript.pyannote[1889].speaker |
SPEAKER_09 |
transcript.pyannote[1889].start |
11102.16096875 |
transcript.pyannote[1889].end |
11105.99159375 |
transcript.pyannote[1890].speaker |
SPEAKER_20 |
transcript.pyannote[1890].start |
11106.09284375 |
transcript.pyannote[1890].end |
11126.96721875 |
transcript.pyannote[1891].speaker |
SPEAKER_09 |
transcript.pyannote[1891].start |
11124.95909375 |
transcript.pyannote[1891].end |
11125.81971875 |
transcript.pyannote[1892].speaker |
SPEAKER_09 |
transcript.pyannote[1892].start |
11126.20784375 |
transcript.pyannote[1892].end |
11128.36784375 |
transcript.pyannote[1893].speaker |
SPEAKER_20 |
transcript.pyannote[1893].start |
11128.36784375 |
transcript.pyannote[1893].end |
11128.38471875 |
transcript.pyannote[1894].speaker |
SPEAKER_09 |
transcript.pyannote[1894].start |
11128.38471875 |
transcript.pyannote[1894].end |
11128.40159375 |
transcript.pyannote[1895].speaker |
SPEAKER_20 |
transcript.pyannote[1895].start |
11128.40159375 |
transcript.pyannote[1895].end |
11128.41846875 |
transcript.pyannote[1896].speaker |
SPEAKER_09 |
transcript.pyannote[1896].start |
11128.41846875 |
transcript.pyannote[1896].end |
11194.82159375 |
transcript.pyannote[1897].speaker |
SPEAKER_20 |
transcript.pyannote[1897].start |
11128.43534375 |
transcript.pyannote[1897].end |
11128.46909375 |
transcript.pyannote[1898].speaker |
SPEAKER_22 |
transcript.pyannote[1898].start |
11142.49221875 |
transcript.pyannote[1898].end |
11145.04034375 |
transcript.pyannote[1899].speaker |
SPEAKER_09 |
transcript.pyannote[1899].start |
11195.49659375 |
transcript.pyannote[1899].end |
11200.98096875 |
transcript.pyannote[1900].speaker |
SPEAKER_20 |
transcript.pyannote[1900].start |
11201.11596875 |
transcript.pyannote[1900].end |
11213.87346875 |
transcript.pyannote[1901].speaker |
SPEAKER_09 |
transcript.pyannote[1901].start |
11214.00846875 |
transcript.pyannote[1901].end |
11232.09846875 |
transcript.pyannote[1902].speaker |
SPEAKER_20 |
transcript.pyannote[1902].start |
11222.22659375 |
transcript.pyannote[1902].end |
11222.29409375 |
transcript.pyannote[1903].speaker |
SPEAKER_20 |
transcript.pyannote[1903].start |
11227.05284375 |
transcript.pyannote[1903].end |
11227.50846875 |
transcript.pyannote[1904].speaker |
SPEAKER_20 |
transcript.pyannote[1904].start |
11231.49096875 |
transcript.pyannote[1904].end |
11236.31721875 |
transcript.pyannote[1905].speaker |
SPEAKER_09 |
transcript.pyannote[1905].start |
11236.31721875 |
transcript.pyannote[1905].end |
11237.70096875 |
transcript.pyannote[1906].speaker |
SPEAKER_06 |
transcript.pyannote[1906].start |
11239.72596875 |
transcript.pyannote[1906].end |
11241.86909375 |
transcript.pyannote[1907].speaker |
SPEAKER_06 |
transcript.pyannote[1907].start |
11243.30346875 |
transcript.pyannote[1907].end |
11246.56034375 |
transcript.pyannote[1908].speaker |
SPEAKER_06 |
transcript.pyannote[1908].start |
11247.13409375 |
transcript.pyannote[1908].end |
11249.37846875 |
transcript.pyannote[1909].speaker |
SPEAKER_07 |
transcript.pyannote[1909].start |
11256.02721875 |
transcript.pyannote[1909].end |
11260.58346875 |
transcript.pyannote[1910].speaker |
SPEAKER_07 |
transcript.pyannote[1910].start |
11261.56221875 |
transcript.pyannote[1910].end |
11262.47346875 |
transcript.pyannote[1911].speaker |
SPEAKER_27 |
transcript.pyannote[1911].start |
11266.16909375 |
transcript.pyannote[1911].end |
11266.82721875 |
transcript.pyannote[1912].speaker |
SPEAKER_07 |
transcript.pyannote[1912].start |
11266.97909375 |
transcript.pyannote[1912].end |
11391.44909375 |
transcript.pyannote[1913].speaker |
SPEAKER_07 |
transcript.pyannote[1913].start |
11391.97221875 |
transcript.pyannote[1913].end |
11405.10096875 |
transcript.pyannote[1914].speaker |
SPEAKER_07 |
transcript.pyannote[1914].start |
11405.62409375 |
transcript.pyannote[1914].end |
11455.84409375 |
transcript.pyannote[1915].speaker |
SPEAKER_20 |
transcript.pyannote[1915].start |
11455.92846875 |
transcript.pyannote[1915].end |
11456.19846875 |
transcript.pyannote[1916].speaker |
SPEAKER_20 |
transcript.pyannote[1916].start |
11456.46846875 |
transcript.pyannote[1916].end |
11468.71971875 |
transcript.pyannote[1917].speaker |
SPEAKER_07 |
transcript.pyannote[1917].start |
11468.33159375 |
transcript.pyannote[1917].end |
11469.81659375 |
transcript.pyannote[1918].speaker |
SPEAKER_20 |
transcript.pyannote[1918].start |
11468.98971875 |
transcript.pyannote[1918].end |
11470.13721875 |
transcript.pyannote[1919].speaker |
SPEAKER_07 |
transcript.pyannote[1919].start |
11470.08659375 |
transcript.pyannote[1919].end |
11472.31409375 |
transcript.pyannote[1920].speaker |
SPEAKER_20 |
transcript.pyannote[1920].start |
11472.98909375 |
transcript.pyannote[1920].end |
11485.24034375 |
transcript.pyannote[1921].speaker |
SPEAKER_20 |
transcript.pyannote[1921].start |
11485.34159375 |
transcript.pyannote[1921].end |
11511.63284375 |
transcript.pyannote[1922].speaker |
SPEAKER_07 |
transcript.pyannote[1922].start |
11511.56534375 |
transcript.pyannote[1922].end |
11516.94846875 |
transcript.pyannote[1923].speaker |
SPEAKER_20 |
transcript.pyannote[1923].start |
11514.65346875 |
transcript.pyannote[1923].end |
11515.31159375 |
transcript.pyannote[1924].speaker |
SPEAKER_20 |
transcript.pyannote[1924].start |
11515.81784375 |
transcript.pyannote[1924].end |
11519.22659375 |
transcript.pyannote[1925].speaker |
SPEAKER_07 |
transcript.pyannote[1925].start |
11519.12534375 |
transcript.pyannote[1925].end |
11527.96784375 |
transcript.pyannote[1926].speaker |
SPEAKER_20 |
transcript.pyannote[1926].start |
11525.57159375 |
transcript.pyannote[1926].end |
11526.12846875 |
transcript.pyannote[1927].speaker |
SPEAKER_20 |
transcript.pyannote[1927].start |
11527.41096875 |
transcript.pyannote[1927].end |
11533.84034375 |
transcript.pyannote[1928].speaker |
SPEAKER_07 |
transcript.pyannote[1928].start |
11533.50284375 |
transcript.pyannote[1928].end |
11543.84721875 |
transcript.pyannote[1929].speaker |
SPEAKER_20 |
transcript.pyannote[1929].start |
11534.56596875 |
transcript.pyannote[1929].end |
11534.65034375 |
transcript.pyannote[1930].speaker |
SPEAKER_20 |
transcript.pyannote[1930].start |
11539.94909375 |
transcript.pyannote[1930].end |
11540.18534375 |
transcript.pyannote[1931].speaker |
SPEAKER_20 |
transcript.pyannote[1931].start |
11543.84721875 |
transcript.pyannote[1931].end |
11545.73721875 |
transcript.pyannote[1932].speaker |
SPEAKER_07 |
transcript.pyannote[1932].start |
11546.05784375 |
transcript.pyannote[1932].end |
11550.81659375 |
transcript.pyannote[1933].speaker |
SPEAKER_07 |
transcript.pyannote[1933].start |
11551.15409375 |
transcript.pyannote[1933].end |
11559.23721875 |
transcript.pyannote[1934].speaker |
SPEAKER_07 |
transcript.pyannote[1934].start |
11562.02159375 |
transcript.pyannote[1934].end |
11565.26159375 |
transcript.pyannote[1935].speaker |
SPEAKER_07 |
transcript.pyannote[1935].start |
11566.20659375 |
transcript.pyannote[1935].end |
11576.43284375 |
transcript.pyannote[1936].speaker |
SPEAKER_07 |
transcript.pyannote[1936].start |
11577.25971875 |
transcript.pyannote[1936].end |
11580.49971875 |
transcript.pyannote[1937].speaker |
SPEAKER_22 |
transcript.pyannote[1937].start |
11579.09909375 |
transcript.pyannote[1937].end |
11580.82034375 |
transcript.pyannote[1938].speaker |
SPEAKER_07 |
transcript.pyannote[1938].start |
11580.82034375 |
transcript.pyannote[1938].end |
11580.83721875 |
transcript.pyannote[1939].speaker |
SPEAKER_07 |
transcript.pyannote[1939].start |
11580.87096875 |
transcript.pyannote[1939].end |
11581.79909375 |
transcript.pyannote[1940].speaker |
SPEAKER_07 |
transcript.pyannote[1940].start |
11581.96784375 |
transcript.pyannote[1940].end |
11585.74784375 |
transcript.pyannote[1941].speaker |
SPEAKER_07 |
transcript.pyannote[1941].start |
11586.22034375 |
transcript.pyannote[1941].end |
11586.76034375 |
transcript.pyannote[1942].speaker |
SPEAKER_07 |
transcript.pyannote[1942].start |
11586.81096875 |
transcript.pyannote[1942].end |
11594.87721875 |
transcript.pyannote[1943].speaker |
SPEAKER_20 |
transcript.pyannote[1943].start |
11595.92346875 |
transcript.pyannote[1943].end |
11603.17971875 |
transcript.pyannote[1944].speaker |
SPEAKER_07 |
transcript.pyannote[1944].start |
11603.17971875 |
transcript.pyannote[1944].end |
11613.69284375 |
transcript.pyannote[1945].speaker |
SPEAKER_20 |
transcript.pyannote[1945].start |
11614.11471875 |
transcript.pyannote[1945].end |
11617.00034375 |
transcript.pyannote[1946].speaker |
SPEAKER_07 |
transcript.pyannote[1946].start |
11616.73034375 |
transcript.pyannote[1946].end |
11618.85659375 |
transcript.pyannote[1947].speaker |
SPEAKER_07 |
transcript.pyannote[1947].start |
11619.21096875 |
transcript.pyannote[1947].end |
11623.49721875 |
transcript.pyannote[1948].speaker |
SPEAKER_21 |
transcript.pyannote[1948].start |
11623.49721875 |
transcript.pyannote[1948].end |
11628.44159375 |
transcript.pyannote[1949].speaker |
SPEAKER_07 |
transcript.pyannote[1949].start |
11623.69971875 |
transcript.pyannote[1949].end |
11624.44221875 |
transcript.pyannote[1950].speaker |
SPEAKER_07 |
transcript.pyannote[1950].start |
11625.23534375 |
transcript.pyannote[1950].end |
11626.61909375 |
transcript.pyannote[1951].speaker |
SPEAKER_07 |
transcript.pyannote[1951].start |
11628.77909375 |
transcript.pyannote[1951].end |
11630.71971875 |
transcript.pyannote[1952].speaker |
SPEAKER_07 |
transcript.pyannote[1952].start |
11631.41159375 |
transcript.pyannote[1952].end |
11633.14971875 |
transcript.pyannote[1953].speaker |
SPEAKER_07 |
transcript.pyannote[1953].start |
11633.99346875 |
transcript.pyannote[1953].end |
11635.34346875 |
transcript.pyannote[1954].speaker |
SPEAKER_07 |
transcript.pyannote[1954].start |
11636.06909375 |
transcript.pyannote[1954].end |
11636.82846875 |
transcript.pyannote[1955].speaker |
SPEAKER_07 |
transcript.pyannote[1955].start |
11637.79034375 |
transcript.pyannote[1955].end |
11641.57034375 |
transcript.pyannote[1956].speaker |
SPEAKER_07 |
transcript.pyannote[1956].start |
11642.05971875 |
transcript.pyannote[1956].end |
11642.07659375 |
transcript.pyannote[1957].speaker |
SPEAKER_20 |
transcript.pyannote[1957].start |
11642.07659375 |
transcript.pyannote[1957].end |
11643.24096875 |
transcript.pyannote[1958].speaker |
SPEAKER_07 |
transcript.pyannote[1958].start |
11642.11034375 |
transcript.pyannote[1958].end |
11643.34221875 |
transcript.pyannote[1959].speaker |
SPEAKER_20 |
transcript.pyannote[1959].start |
11643.34221875 |
transcript.pyannote[1959].end |
11643.40971875 |
transcript.pyannote[1960].speaker |
SPEAKER_07 |
transcript.pyannote[1960].start |
11643.40971875 |
transcript.pyannote[1960].end |
11643.59534375 |
transcript.pyannote[1961].speaker |
SPEAKER_20 |
transcript.pyannote[1961].start |
11643.59534375 |
transcript.pyannote[1961].end |
11645.23221875 |
transcript.pyannote[1962].speaker |
SPEAKER_20 |
transcript.pyannote[1962].start |
11645.65409375 |
transcript.pyannote[1962].end |
11647.00409375 |
transcript.pyannote[1963].speaker |
SPEAKER_07 |
transcript.pyannote[1963].start |
11646.46409375 |
transcript.pyannote[1963].end |
11651.83034375 |
transcript.pyannote[1964].speaker |
SPEAKER_22 |
transcript.pyannote[1964].start |
11651.83034375 |
transcript.pyannote[1964].end |
11652.13409375 |
transcript.pyannote[1965].speaker |
SPEAKER_07 |
transcript.pyannote[1965].start |
11652.13409375 |
transcript.pyannote[1965].end |
11659.86284375 |
transcript.pyannote[1966].speaker |
SPEAKER_20 |
transcript.pyannote[1966].start |
11660.20034375 |
transcript.pyannote[1966].end |
11662.05659375 |
transcript.pyannote[1967].speaker |
SPEAKER_07 |
transcript.pyannote[1967].start |
11662.05659375 |
transcript.pyannote[1967].end |
11672.16471875 |
transcript.pyannote[1968].speaker |
SPEAKER_20 |
transcript.pyannote[1968].start |
11672.16471875 |
transcript.pyannote[1968].end |
11674.30784375 |
transcript.pyannote[1969].speaker |
SPEAKER_07 |
transcript.pyannote[1969].start |
11674.17284375 |
transcript.pyannote[1969].end |
11677.00784375 |
transcript.pyannote[1970].speaker |
SPEAKER_07 |
transcript.pyannote[1970].start |
11677.63221875 |
transcript.pyannote[1970].end |
11679.18471875 |
transcript.pyannote[1971].speaker |
SPEAKER_07 |
transcript.pyannote[1971].start |
11679.43784375 |
transcript.pyannote[1971].end |
11683.35284375 |
transcript.pyannote[1972].speaker |
SPEAKER_07 |
transcript.pyannote[1972].start |
11683.97721875 |
transcript.pyannote[1972].end |
11684.24721875 |
transcript.pyannote[1973].speaker |
SPEAKER_07 |
transcript.pyannote[1973].start |
11684.77034375 |
transcript.pyannote[1973].end |
11689.64721875 |
transcript.pyannote[1974].speaker |
SPEAKER_07 |
transcript.pyannote[1974].start |
11690.20409375 |
transcript.pyannote[1974].end |
11698.67534375 |
transcript.pyannote[1975].speaker |
SPEAKER_07 |
transcript.pyannote[1975].start |
11700.86909375 |
transcript.pyannote[1975].end |
11702.01659375 |
transcript.pyannote[1976].speaker |
SPEAKER_07 |
transcript.pyannote[1976].start |
11702.43846875 |
transcript.pyannote[1976].end |
11705.40846875 |
transcript.pyannote[1977].speaker |
SPEAKER_07 |
transcript.pyannote[1977].start |
11706.30284375 |
transcript.pyannote[1977].end |
11710.77471875 |
transcript.pyannote[1978].speaker |
SPEAKER_07 |
transcript.pyannote[1978].start |
11711.78721875 |
transcript.pyannote[1978].end |
11718.77346875 |
transcript.pyannote[1979].speaker |
SPEAKER_07 |
transcript.pyannote[1979].start |
11719.22909375 |
transcript.pyannote[1979].end |
11721.13596875 |
transcript.pyannote[1980].speaker |
SPEAKER_07 |
transcript.pyannote[1980].start |
11721.62534375 |
transcript.pyannote[1980].end |
11730.53534375 |
transcript.pyannote[1981].speaker |
SPEAKER_07 |
transcript.pyannote[1981].start |
11731.14284375 |
transcript.pyannote[1981].end |
11737.33596875 |
transcript.pyannote[1982].speaker |
SPEAKER_07 |
transcript.pyannote[1982].start |
11737.72409375 |
transcript.pyannote[1982].end |
11748.42284375 |
transcript.pyannote[1983].speaker |
SPEAKER_07 |
transcript.pyannote[1983].start |
11749.60409375 |
transcript.pyannote[1983].end |
11754.54846875 |
transcript.pyannote[1984].speaker |
SPEAKER_07 |
transcript.pyannote[1984].start |
11756.43846875 |
transcript.pyannote[1984].end |
11759.67846875 |
transcript.pyannote[1985].speaker |
SPEAKER_07 |
transcript.pyannote[1985].start |
11760.82596875 |
transcript.pyannote[1985].end |
11766.41159375 |
transcript.pyannote[1986].speaker |
SPEAKER_07 |
transcript.pyannote[1986].start |
11767.05284375 |
transcript.pyannote[1986].end |
11769.63471875 |
transcript.pyannote[1987].speaker |
SPEAKER_07 |
transcript.pyannote[1987].start |
11770.42784375 |
transcript.pyannote[1987].end |
11775.60846875 |
transcript.pyannote[1988].speaker |
SPEAKER_07 |
transcript.pyannote[1988].start |
11776.43534375 |
transcript.pyannote[1988].end |
11782.61159375 |
transcript.pyannote[1989].speaker |
SPEAKER_07 |
transcript.pyannote[1989].start |
11783.87721875 |
transcript.pyannote[1989].end |
11788.58534375 |
transcript.pyannote[1990].speaker |
SPEAKER_07 |
transcript.pyannote[1990].start |
11788.83846875 |
transcript.pyannote[1990].end |
11792.68596875 |
transcript.pyannote[1991].speaker |
SPEAKER_07 |
transcript.pyannote[1991].start |
11793.15846875 |
transcript.pyannote[1991].end |
11793.61409375 |
transcript.pyannote[1992].speaker |
SPEAKER_07 |
transcript.pyannote[1992].start |
11794.62659375 |
transcript.pyannote[1992].end |
11797.25909375 |
transcript.pyannote[1993].speaker |
SPEAKER_07 |
transcript.pyannote[1993].start |
11797.51221875 |
transcript.pyannote[1993].end |
11798.06909375 |
transcript.pyannote[1994].speaker |
SPEAKER_07 |
transcript.pyannote[1994].start |
11798.67659375 |
transcript.pyannote[1994].end |
11805.22409375 |
transcript.pyannote[1995].speaker |
SPEAKER_07 |
transcript.pyannote[1995].start |
11805.74721875 |
transcript.pyannote[1995].end |
11809.12221875 |
transcript.pyannote[1996].speaker |
SPEAKER_07 |
transcript.pyannote[1996].start |
11810.65784375 |
transcript.pyannote[1996].end |
11814.06659375 |
transcript.pyannote[1997].speaker |
SPEAKER_07 |
transcript.pyannote[1997].start |
11814.91034375 |
transcript.pyannote[1997].end |
11815.58534375 |
transcript.pyannote[1998].speaker |
SPEAKER_07 |
transcript.pyannote[1998].start |
11815.70346875 |
transcript.pyannote[1998].end |
11820.41159375 |
transcript.pyannote[1999].speaker |
SPEAKER_07 |
transcript.pyannote[1999].start |
11822.08221875 |
transcript.pyannote[1999].end |
11825.05221875 |
transcript.pyannote[2000].speaker |
SPEAKER_07 |
transcript.pyannote[2000].start |
11825.59221875 |
transcript.pyannote[2000].end |
11827.19534375 |
transcript.pyannote[2001].speaker |
SPEAKER_07 |
transcript.pyannote[2001].start |
11828.05596875 |
transcript.pyannote[2001].end |
11844.62721875 |
transcript.pyannote[2002].speaker |
SPEAKER_07 |
transcript.pyannote[2002].start |
11845.35284375 |
transcript.pyannote[2002].end |
11846.17971875 |
transcript.pyannote[2003].speaker |
SPEAKER_07 |
transcript.pyannote[2003].start |
11846.43284375 |
transcript.pyannote[2003].end |
11848.42409375 |
transcript.pyannote[2004].speaker |
SPEAKER_07 |
transcript.pyannote[2004].start |
11848.50846875 |
transcript.pyannote[2004].end |
11849.68971875 |
transcript.pyannote[2005].speaker |
SPEAKER_07 |
transcript.pyannote[2005].start |
11850.87096875 |
transcript.pyannote[2005].end |
11851.66409375 |
transcript.pyannote[2006].speaker |
SPEAKER_07 |
transcript.pyannote[2006].start |
11852.23784375 |
transcript.pyannote[2006].end |
11852.67659375 |
transcript.pyannote[2007].speaker |
SPEAKER_07 |
transcript.pyannote[2007].start |
11854.02659375 |
transcript.pyannote[2007].end |
11854.63409375 |
transcript.pyannote[2008].speaker |
SPEAKER_07 |
transcript.pyannote[2008].start |
11855.79846875 |
transcript.pyannote[2008].end |
11859.17346875 |
transcript.pyannote[2009].speaker |
SPEAKER_07 |
transcript.pyannote[2009].start |
11859.66284375 |
transcript.pyannote[2009].end |
11861.70471875 |
transcript.pyannote[2010].speaker |
SPEAKER_20 |
transcript.pyannote[2010].start |
11862.19409375 |
transcript.pyannote[2010].end |
11869.68659375 |
transcript.pyannote[2011].speaker |
SPEAKER_07 |
transcript.pyannote[2011].start |
11868.85971875 |
transcript.pyannote[2011].end |
11872.16721875 |
transcript.pyannote[2012].speaker |
SPEAKER_07 |
transcript.pyannote[2012].start |
11872.82534375 |
transcript.pyannote[2012].end |
11873.77034375 |
transcript.pyannote[2013].speaker |
SPEAKER_07 |
transcript.pyannote[2013].start |
11874.31034375 |
transcript.pyannote[2013].end |
11893.44659375 |
transcript.pyannote[2014].speaker |
SPEAKER_07 |
transcript.pyannote[2014].start |
11894.45909375 |
transcript.pyannote[2014].end |
11897.04096875 |
transcript.pyannote[2015].speaker |
SPEAKER_20 |
transcript.pyannote[2015].start |
11896.51784375 |
transcript.pyannote[2015].end |
11898.39096875 |
transcript.pyannote[2016].speaker |
SPEAKER_07 |
transcript.pyannote[2016].start |
11897.74971875 |
transcript.pyannote[2016].end |
11904.73596875 |
transcript.pyannote[2017].speaker |
SPEAKER_20 |
transcript.pyannote[2017].start |
11900.71971875 |
transcript.pyannote[2017].end |
11901.46221875 |
transcript.pyannote[2018].speaker |
SPEAKER_20 |
transcript.pyannote[2018].start |
11903.16659375 |
transcript.pyannote[2018].end |
11903.18346875 |
transcript.pyannote[2019].speaker |
SPEAKER_07 |
transcript.pyannote[2019].start |
11904.83721875 |
transcript.pyannote[2019].end |
11904.90471875 |
transcript.pyannote[2020].speaker |
SPEAKER_20 |
transcript.pyannote[2020].start |
11904.90471875 |
transcript.pyannote[2020].end |
11905.63034375 |
transcript.pyannote[2021].speaker |
SPEAKER_20 |
transcript.pyannote[2021].start |
11905.81596875 |
transcript.pyannote[2021].end |
11912.83596875 |
transcript.pyannote[2022].speaker |
SPEAKER_07 |
transcript.pyannote[2022].start |
11910.38909375 |
transcript.pyannote[2022].end |
11911.40159375 |
transcript.pyannote[2023].speaker |
SPEAKER_07 |
transcript.pyannote[2023].start |
11912.83596875 |
transcript.pyannote[2023].end |
11912.85284375 |
transcript.pyannote[2024].speaker |
SPEAKER_07 |
transcript.pyannote[2024].start |
11914.25346875 |
transcript.pyannote[2024].end |
11924.81721875 |
transcript.pyannote[2025].speaker |
SPEAKER_27 |
transcript.pyannote[2025].start |
11915.97471875 |
transcript.pyannote[2025].end |
11916.81846875 |
transcript.pyannote[2026].speaker |
SPEAKER_07 |
transcript.pyannote[2026].start |
11925.59346875 |
transcript.pyannote[2026].end |
11933.52471875 |
transcript.pyannote[2027].speaker |
SPEAKER_07 |
transcript.pyannote[2027].start |
11934.19971875 |
transcript.pyannote[2027].end |
11936.83221875 |
transcript.pyannote[2028].speaker |
SPEAKER_07 |
transcript.pyannote[2028].start |
11937.33846875 |
transcript.pyannote[2028].end |
11941.08471875 |
transcript.pyannote[2029].speaker |
SPEAKER_07 |
transcript.pyannote[2029].start |
11941.77659375 |
transcript.pyannote[2029].end |
11951.88471875 |
transcript.pyannote[2030].speaker |
SPEAKER_20 |
transcript.pyannote[2030].start |
11947.90221875 |
transcript.pyannote[2030].end |
11949.42096875 |
transcript.pyannote[2031].speaker |
SPEAKER_20 |
transcript.pyannote[2031].start |
11949.72471875 |
transcript.pyannote[2031].end |
11954.56784375 |
transcript.pyannote[2032].speaker |
SPEAKER_07 |
transcript.pyannote[2032].start |
11953.97721875 |
transcript.pyannote[2032].end |
11954.68596875 |
transcript.pyannote[2033].speaker |
SPEAKER_20 |
transcript.pyannote[2033].start |
11954.68596875 |
transcript.pyannote[2033].end |
11954.82096875 |
transcript.pyannote[2034].speaker |
SPEAKER_07 |
transcript.pyannote[2034].start |
11954.88846875 |
transcript.pyannote[2034].end |
11957.85846875 |
transcript.pyannote[2035].speaker |
SPEAKER_07 |
transcript.pyannote[2035].start |
11958.61784375 |
transcript.pyannote[2035].end |
11960.03534375 |
transcript.pyannote[2036].speaker |
SPEAKER_07 |
transcript.pyannote[2036].start |
11960.98034375 |
transcript.pyannote[2036].end |
11964.06846875 |
transcript.pyannote[2037].speaker |
SPEAKER_07 |
transcript.pyannote[2037].start |
11964.33846875 |
transcript.pyannote[2037].end |
11965.03034375 |
transcript.pyannote[2038].speaker |
SPEAKER_07 |
transcript.pyannote[2038].start |
11965.82346875 |
transcript.pyannote[2038].end |
11966.27909375 |
transcript.pyannote[2039].speaker |
SPEAKER_07 |
transcript.pyannote[2039].start |
11967.12284375 |
transcript.pyannote[2039].end |
11975.23971875 |
transcript.pyannote[2040].speaker |
SPEAKER_07 |
transcript.pyannote[2040].start |
11975.39159375 |
transcript.pyannote[2040].end |
11984.38596875 |
transcript.pyannote[2041].speaker |
SPEAKER_07 |
transcript.pyannote[2041].start |
11984.87534375 |
transcript.pyannote[2041].end |
11997.21096875 |
transcript.pyannote[2042].speaker |
SPEAKER_07 |
transcript.pyannote[2042].start |
11998.66221875 |
transcript.pyannote[2042].end |
11999.75909375 |
transcript.pyannote[2043].speaker |
SPEAKER_07 |
transcript.pyannote[2043].start |
12000.92346875 |
transcript.pyannote[2043].end |
12003.53909375 |
transcript.pyannote[2044].speaker |
SPEAKER_20 |
transcript.pyannote[2044].start |
12005.19284375 |
transcript.pyannote[2044].end |
12013.37721875 |
transcript.pyannote[2045].speaker |
SPEAKER_07 |
transcript.pyannote[2045].start |
12006.88034375 |
transcript.pyannote[2045].end |
12008.21346875 |
transcript.pyannote[2046].speaker |
SPEAKER_07 |
transcript.pyannote[2046].start |
12013.22534375 |
transcript.pyannote[2046].end |
12017.74784375 |
transcript.pyannote[2047].speaker |
SPEAKER_20 |
transcript.pyannote[2047].start |
12018.16971875 |
transcript.pyannote[2047].end |
12020.04284375 |
transcript.pyannote[2048].speaker |
SPEAKER_07 |
transcript.pyannote[2048].start |
12020.17784375 |
transcript.pyannote[2048].end |
12020.85284375 |
transcript.pyannote[2049].speaker |
SPEAKER_20 |
transcript.pyannote[2049].start |
12020.85284375 |
transcript.pyannote[2049].end |
12022.10159375 |
transcript.pyannote[2050].speaker |
SPEAKER_07 |
transcript.pyannote[2050].start |
12021.05534375 |
transcript.pyannote[2050].end |
12024.12659375 |
transcript.pyannote[2051].speaker |
SPEAKER_07 |
transcript.pyannote[2051].start |
12025.17284375 |
transcript.pyannote[2051].end |
12027.09659375 |
transcript.pyannote[2052].speaker |
SPEAKER_07 |
transcript.pyannote[2052].start |
12027.14721875 |
transcript.pyannote[2052].end |
12028.15971875 |
transcript.pyannote[2053].speaker |
SPEAKER_07 |
transcript.pyannote[2053].start |
12028.71659375 |
transcript.pyannote[2053].end |
12030.94409375 |
transcript.pyannote[2054].speaker |
SPEAKER_07 |
transcript.pyannote[2054].start |
12031.38284375 |
transcript.pyannote[2054].end |
12044.42721875 |
transcript.pyannote[2055].speaker |
SPEAKER_20 |
transcript.pyannote[2055].start |
12044.71409375 |
transcript.pyannote[2055].end |
12050.43471875 |
transcript.pyannote[2056].speaker |
SPEAKER_07 |
transcript.pyannote[2056].start |
12050.40096875 |
transcript.pyannote[2056].end |
12059.39534375 |
transcript.pyannote[2057].speaker |
SPEAKER_20 |
transcript.pyannote[2057].start |
12056.34096875 |
transcript.pyannote[2057].end |
12057.04971875 |
transcript.pyannote[2058].speaker |
SPEAKER_20 |
transcript.pyannote[2058].start |
12058.43346875 |
transcript.pyannote[2058].end |
12062.68596875 |
transcript.pyannote[2059].speaker |
SPEAKER_07 |
transcript.pyannote[2059].start |
12062.28096875 |
transcript.pyannote[2059].end |
12077.33346875 |
transcript.pyannote[2060].speaker |
SPEAKER_07 |
transcript.pyannote[2060].start |
12077.46846875 |
transcript.pyannote[2060].end |
12085.48409375 |
transcript.pyannote[2061].speaker |
SPEAKER_07 |
transcript.pyannote[2061].start |
12085.90596875 |
transcript.pyannote[2061].end |
12087.20534375 |
transcript.pyannote[2062].speaker |
SPEAKER_07 |
transcript.pyannote[2062].start |
12087.74534375 |
transcript.pyannote[2062].end |
12096.25034375 |
transcript.pyannote[2063].speaker |
SPEAKER_07 |
transcript.pyannote[2063].start |
12096.95909375 |
transcript.pyannote[2063].end |
12111.01596875 |
transcript.pyannote[2064].speaker |
SPEAKER_07 |
transcript.pyannote[2064].start |
12111.20159375 |
transcript.pyannote[2064].end |
12117.52971875 |
transcript.pyannote[2065].speaker |
SPEAKER_07 |
transcript.pyannote[2065].start |
12118.49159375 |
transcript.pyannote[2065].end |
12123.46971875 |
transcript.pyannote[2066].speaker |
SPEAKER_07 |
transcript.pyannote[2066].start |
12123.99284375 |
transcript.pyannote[2066].end |
12131.68784375 |
transcript.pyannote[2067].speaker |
SPEAKER_07 |
transcript.pyannote[2067].start |
12132.34596875 |
transcript.pyannote[2067].end |
12135.85596875 |
transcript.pyannote[2068].speaker |
SPEAKER_07 |
transcript.pyannote[2068].start |
12136.26096875 |
transcript.pyannote[2068].end |
12140.80034375 |
transcript.pyannote[2069].speaker |
SPEAKER_07 |
transcript.pyannote[2069].start |
12141.40784375 |
transcript.pyannote[2069].end |
12142.36971875 |
transcript.pyannote[2070].speaker |
SPEAKER_07 |
transcript.pyannote[2070].start |
12143.02784375 |
transcript.pyannote[2070].end |
12148.63034375 |
transcript.pyannote[2071].speaker |
SPEAKER_07 |
transcript.pyannote[2071].start |
12149.01846875 |
transcript.pyannote[2071].end |
12153.99659375 |
transcript.pyannote[2072].speaker |
SPEAKER_20 |
transcript.pyannote[2072].start |
12151.19534375 |
transcript.pyannote[2072].end |
12153.74346875 |
transcript.pyannote[2073].speaker |
SPEAKER_20 |
transcript.pyannote[2073].start |
12153.99659375 |
transcript.pyannote[2073].end |
12159.09284375 |
transcript.pyannote[2074].speaker |
SPEAKER_07 |
transcript.pyannote[2074].start |
12154.67159375 |
transcript.pyannote[2074].end |
12157.18596875 |
transcript.pyannote[2075].speaker |
SPEAKER_07 |
transcript.pyannote[2075].start |
12157.57409375 |
transcript.pyannote[2075].end |
12164.37471875 |
transcript.pyannote[2076].speaker |
SPEAKER_07 |
transcript.pyannote[2076].start |
12164.72909375 |
transcript.pyannote[2076].end |
12165.87659375 |
transcript.pyannote[2077].speaker |
SPEAKER_20 |
transcript.pyannote[2077].start |
12164.81346875 |
transcript.pyannote[2077].end |
12170.97284375 |
transcript.pyannote[2078].speaker |
SPEAKER_07 |
transcript.pyannote[2078].start |
12166.12971875 |
transcript.pyannote[2078].end |
12166.73721875 |
transcript.pyannote[2079].speaker |
SPEAKER_07 |
transcript.pyannote[2079].start |
12168.86346875 |
transcript.pyannote[2079].end |
12169.65659375 |
transcript.pyannote[2080].speaker |
SPEAKER_07 |
transcript.pyannote[2080].start |
12170.41596875 |
transcript.pyannote[2080].end |
12172.20471875 |
transcript.pyannote[2081].speaker |
SPEAKER_20 |
transcript.pyannote[2081].start |
12171.10784375 |
transcript.pyannote[2081].end |
12171.31034375 |
transcript.pyannote[2082].speaker |
SPEAKER_20 |
transcript.pyannote[2082].start |
12171.83346875 |
transcript.pyannote[2082].end |
12171.95159375 |
transcript.pyannote[2083].speaker |
SPEAKER_20 |
transcript.pyannote[2083].start |
12173.21721875 |
transcript.pyannote[2083].end |
12173.23409375 |
transcript.pyannote[2084].speaker |
SPEAKER_07 |
transcript.pyannote[2084].start |
12173.23409375 |
transcript.pyannote[2084].end |
12176.06909375 |
transcript.pyannote[2085].speaker |
SPEAKER_20 |
transcript.pyannote[2085].start |
12176.44034375 |
transcript.pyannote[2085].end |
12176.60909375 |
transcript.pyannote[2086].speaker |
SPEAKER_07 |
transcript.pyannote[2086].start |
12176.60909375 |
transcript.pyannote[2086].end |
12180.81096875 |
transcript.pyannote[2087].speaker |
SPEAKER_07 |
transcript.pyannote[2087].start |
12181.63784375 |
transcript.pyannote[2087].end |
12183.30846875 |
transcript.pyannote[2088].speaker |
SPEAKER_07 |
transcript.pyannote[2088].start |
12183.47721875 |
transcript.pyannote[2088].end |
12187.64534375 |
transcript.pyannote[2089].speaker |
SPEAKER_07 |
transcript.pyannote[2089].start |
12188.10096875 |
transcript.pyannote[2089].end |
12189.06284375 |
transcript.pyannote[2090].speaker |
SPEAKER_07 |
transcript.pyannote[2090].start |
12189.67034375 |
transcript.pyannote[2090].end |
12197.93909375 |
transcript.pyannote[2091].speaker |
SPEAKER_07 |
transcript.pyannote[2091].start |
12198.25971875 |
transcript.pyannote[2091].end |
12213.37971875 |
transcript.pyannote[2092].speaker |
SPEAKER_07 |
transcript.pyannote[2092].start |
12215.10096875 |
transcript.pyannote[2092].end |
12221.32784375 |
transcript.pyannote[2093].speaker |
SPEAKER_20 |
transcript.pyannote[2093].start |
12220.07909375 |
transcript.pyannote[2093].end |
12221.76659375 |
transcript.pyannote[2094].speaker |
SPEAKER_07 |
transcript.pyannote[2094].start |
12222.08721875 |
transcript.pyannote[2094].end |
12225.09096875 |
transcript.pyannote[2095].speaker |
SPEAKER_07 |
transcript.pyannote[2095].start |
12225.52971875 |
transcript.pyannote[2095].end |
12229.03971875 |
transcript.pyannote[2096].speaker |
SPEAKER_20 |
transcript.pyannote[2096].start |
12230.28846875 |
transcript.pyannote[2096].end |
12230.96346875 |
transcript.pyannote[2097].speaker |
SPEAKER_20 |
transcript.pyannote[2097].start |
12232.21221875 |
transcript.pyannote[2097].end |
12232.22909375 |
transcript.pyannote[2098].speaker |
SPEAKER_07 |
transcript.pyannote[2098].start |
12232.22909375 |
transcript.pyannote[2098].end |
12233.17409375 |
transcript.pyannote[2099].speaker |
SPEAKER_20 |
transcript.pyannote[2099].start |
12232.39784375 |
transcript.pyannote[2099].end |
12234.96284375 |
transcript.pyannote[2100].speaker |
SPEAKER_07 |
transcript.pyannote[2100].start |
12234.33846875 |
transcript.pyannote[2100].end |
12242.03346875 |
transcript.pyannote[2101].speaker |
SPEAKER_20 |
transcript.pyannote[2101].start |
12235.53659375 |
transcript.pyannote[2101].end |
12236.68409375 |
transcript.pyannote[2102].speaker |
SPEAKER_06 |
transcript.pyannote[2102].start |
12236.68409375 |
transcript.pyannote[2102].end |
12236.70096875 |
transcript.pyannote[2103].speaker |
SPEAKER_06 |
transcript.pyannote[2103].start |
12242.33721875 |
transcript.pyannote[2103].end |
12247.04534375 |
transcript.pyannote[2104].speaker |
SPEAKER_07 |
transcript.pyannote[2104].start |
12246.01596875 |
transcript.pyannote[2104].end |
12268.52721875 |
transcript.pyannote[2105].speaker |
SPEAKER_06 |
transcript.pyannote[2105].start |
12248.56409375 |
transcript.pyannote[2105].end |
12249.98159375 |
transcript.pyannote[2106].speaker |
SPEAKER_03 |
transcript.pyannote[2106].start |
12249.98159375 |
transcript.pyannote[2106].end |
12249.99846875 |
transcript.pyannote[2107].speaker |
SPEAKER_07 |
transcript.pyannote[2107].start |
12268.79721875 |
transcript.pyannote[2107].end |
12275.68221875 |
transcript.pyannote[2108].speaker |
SPEAKER_07 |
transcript.pyannote[2108].start |
12276.01971875 |
transcript.pyannote[2108].end |
12279.37784375 |
transcript.pyannote[2109].speaker |
SPEAKER_07 |
transcript.pyannote[2109].start |
12280.40721875 |
transcript.pyannote[2109].end |
12282.97221875 |
transcript.pyannote[2110].speaker |
SPEAKER_07 |
transcript.pyannote[2110].start |
12284.03534375 |
transcript.pyannote[2110].end |
12285.36846875 |
transcript.pyannote[2111].speaker |
SPEAKER_22 |
transcript.pyannote[2111].start |
12285.53721875 |
transcript.pyannote[2111].end |
12286.26284375 |
transcript.pyannote[2112].speaker |
SPEAKER_07 |
transcript.pyannote[2112].start |
12285.72284375 |
transcript.pyannote[2112].end |
12308.67284375 |
transcript.pyannote[2113].speaker |
SPEAKER_20 |
transcript.pyannote[2113].start |
12309.22971875 |
transcript.pyannote[2113].end |
12313.83659375 |
transcript.pyannote[2114].speaker |
SPEAKER_07 |
transcript.pyannote[2114].start |
12312.08159375 |
transcript.pyannote[2114].end |
12314.88284375 |
transcript.pyannote[2115].speaker |
SPEAKER_20 |
transcript.pyannote[2115].start |
12314.88284375 |
transcript.pyannote[2115].end |
12314.91659375 |
transcript.pyannote[2116].speaker |
SPEAKER_07 |
transcript.pyannote[2116].start |
12314.91659375 |
transcript.pyannote[2116].end |
12319.91159375 |
transcript.pyannote[2117].speaker |
SPEAKER_20 |
transcript.pyannote[2117].start |
12315.23721875 |
transcript.pyannote[2117].end |
12316.78971875 |
transcript.pyannote[2118].speaker |
SPEAKER_20 |
transcript.pyannote[2118].start |
12318.64596875 |
transcript.pyannote[2118].end |
12324.16409375 |
transcript.pyannote[2119].speaker |
SPEAKER_07 |
transcript.pyannote[2119].start |
12322.34159375 |
transcript.pyannote[2119].end |
12323.89409375 |
transcript.pyannote[2120].speaker |
SPEAKER_20 |
transcript.pyannote[2120].start |
12324.36659375 |
transcript.pyannote[2120].end |
12333.96846875 |
transcript.pyannote[2121].speaker |
SPEAKER_27 |
transcript.pyannote[2121].start |
12326.93159375 |
transcript.pyannote[2121].end |
12328.01159375 |
transcript.pyannote[2122].speaker |
SPEAKER_27 |
transcript.pyannote[2122].start |
12331.69034375 |
transcript.pyannote[2122].end |
12333.02346875 |
transcript.pyannote[2123].speaker |
SPEAKER_07 |
transcript.pyannote[2123].start |
12333.02346875 |
transcript.pyannote[2123].end |
12333.05721875 |
transcript.pyannote[2124].speaker |
SPEAKER_07 |
transcript.pyannote[2124].start |
12333.10784375 |
transcript.pyannote[2124].end |
12333.17534375 |
transcript.pyannote[2125].speaker |
SPEAKER_27 |
transcript.pyannote[2125].start |
12333.17534375 |
transcript.pyannote[2125].end |
12333.32721875 |
transcript.pyannote[2126].speaker |
SPEAKER_07 |
transcript.pyannote[2126].start |
12333.32721875 |
transcript.pyannote[2126].end |
12333.37784375 |
transcript.pyannote[2127].speaker |
SPEAKER_27 |
transcript.pyannote[2127].start |
12333.37784375 |
transcript.pyannote[2127].end |
12333.44534375 |
transcript.pyannote[2128].speaker |
SPEAKER_07 |
transcript.pyannote[2128].start |
12333.44534375 |
transcript.pyannote[2128].end |
12333.79971875 |
transcript.pyannote[2129].speaker |
SPEAKER_07 |
transcript.pyannote[2129].start |
12333.96846875 |
transcript.pyannote[2129].end |
12338.69346875 |
transcript.pyannote[2130].speaker |
SPEAKER_07 |
transcript.pyannote[2130].start |
12338.92971875 |
transcript.pyannote[2130].end |
12348.85221875 |
transcript.pyannote[2131].speaker |
SPEAKER_27 |
transcript.pyannote[2131].start |
12338.99721875 |
transcript.pyannote[2131].end |
12340.43159375 |
transcript.pyannote[2132].speaker |
SPEAKER_27 |
transcript.pyannote[2132].start |
12340.81971875 |
transcript.pyannote[2132].end |
12344.93721875 |
transcript.pyannote[2133].speaker |
SPEAKER_20 |
transcript.pyannote[2133].start |
12344.93721875 |
transcript.pyannote[2133].end |
12349.39221875 |
transcript.pyannote[2134].speaker |
SPEAKER_07 |
transcript.pyannote[2134].start |
12349.99971875 |
transcript.pyannote[2134].end |
12355.11284375 |
transcript.pyannote[2135].speaker |
SPEAKER_07 |
transcript.pyannote[2135].start |
12355.97346875 |
transcript.pyannote[2135].end |
12358.42034375 |
transcript.pyannote[2136].speaker |
SPEAKER_07 |
transcript.pyannote[2136].start |
12358.99409375 |
transcript.pyannote[2136].end |
12362.55471875 |
transcript.pyannote[2137].speaker |
SPEAKER_07 |
transcript.pyannote[2137].start |
12363.16221875 |
transcript.pyannote[2137].end |
12366.40221875 |
transcript.pyannote[2138].speaker |
SPEAKER_20 |
transcript.pyannote[2138].start |
12363.98909375 |
transcript.pyannote[2138].end |
12366.08159375 |
transcript.pyannote[2139].speaker |
SPEAKER_20 |
transcript.pyannote[2139].start |
12366.40221875 |
transcript.pyannote[2139].end |
12366.48659375 |
transcript.pyannote[2140].speaker |
SPEAKER_07 |
transcript.pyannote[2140].start |
12366.48659375 |
transcript.pyannote[2140].end |
12366.60471875 |
transcript.pyannote[2141].speaker |
SPEAKER_20 |
transcript.pyannote[2141].start |
12366.60471875 |
transcript.pyannote[2141].end |
12366.63846875 |
transcript.pyannote[2142].speaker |
SPEAKER_07 |
transcript.pyannote[2142].start |
12366.63846875 |
transcript.pyannote[2142].end |
12366.65534375 |
transcript.pyannote[2143].speaker |
SPEAKER_20 |
transcript.pyannote[2143].start |
12366.65534375 |
transcript.pyannote[2143].end |
12366.67221875 |
transcript.pyannote[2144].speaker |
SPEAKER_07 |
transcript.pyannote[2144].start |
12366.67221875 |
transcript.pyannote[2144].end |
12366.72284375 |
transcript.pyannote[2145].speaker |
SPEAKER_20 |
transcript.pyannote[2145].start |
12366.72284375 |
transcript.pyannote[2145].end |
12366.97596875 |
transcript.pyannote[2146].speaker |
SPEAKER_07 |
transcript.pyannote[2146].start |
12366.97596875 |
transcript.pyannote[2146].end |
12367.02659375 |
transcript.pyannote[2147].speaker |
SPEAKER_20 |
transcript.pyannote[2147].start |
12367.02659375 |
transcript.pyannote[2147].end |
12367.85346875 |
transcript.pyannote[2148].speaker |
SPEAKER_07 |
transcript.pyannote[2148].start |
12367.85346875 |
transcript.pyannote[2148].end |
12388.01909375 |
transcript.pyannote[2149].speaker |
SPEAKER_07 |
transcript.pyannote[2149].start |
12389.47034375 |
transcript.pyannote[2149].end |
12403.51034375 |
transcript.pyannote[2150].speaker |
SPEAKER_22 |
transcript.pyannote[2150].start |
12390.06096875 |
transcript.pyannote[2150].end |
12397.03034375 |
transcript.pyannote[2151].speaker |
SPEAKER_27 |
transcript.pyannote[2151].start |
12397.03034375 |
transcript.pyannote[2151].end |
12398.22846875 |
transcript.pyannote[2152].speaker |
SPEAKER_22 |
transcript.pyannote[2152].start |
12398.22846875 |
transcript.pyannote[2152].end |
12399.83159375 |
transcript.pyannote[2153].speaker |
SPEAKER_27 |
transcript.pyannote[2153].start |
12399.83159375 |
transcript.pyannote[2153].end |
12400.97909375 |
transcript.pyannote[2154].speaker |
SPEAKER_07 |
transcript.pyannote[2154].start |
12403.62846875 |
transcript.pyannote[2154].end |
12404.72534375 |
transcript.pyannote[2155].speaker |
SPEAKER_22 |
transcript.pyannote[2155].start |
12406.37909375 |
transcript.pyannote[2155].end |
12410.05784375 |
transcript.pyannote[2156].speaker |
SPEAKER_07 |
transcript.pyannote[2156].start |
12406.64909375 |
transcript.pyannote[2156].end |
12417.43221875 |
transcript.pyannote[2157].speaker |
SPEAKER_07 |
transcript.pyannote[2157].start |
12417.80346875 |
transcript.pyannote[2157].end |
12420.31784375 |
transcript.pyannote[2158].speaker |
SPEAKER_07 |
transcript.pyannote[2158].start |
12420.85784375 |
transcript.pyannote[2158].end |
12431.05034375 |
transcript.pyannote[2159].speaker |
SPEAKER_07 |
transcript.pyannote[2159].start |
12431.11784375 |
transcript.pyannote[2159].end |
12437.02409375 |
transcript.pyannote[2160].speaker |
SPEAKER_07 |
transcript.pyannote[2160].start |
12437.47971875 |
transcript.pyannote[2160].end |
12442.52534375 |
transcript.pyannote[2161].speaker |
SPEAKER_06 |
transcript.pyannote[2161].start |
12442.79534375 |
transcript.pyannote[2161].end |
12452.27909375 |
transcript.pyannote[2162].speaker |
SPEAKER_06 |
transcript.pyannote[2162].start |
12452.86971875 |
transcript.pyannote[2162].end |
12455.75534375 |
transcript.pyannote[2163].speaker |
SPEAKER_06 |
transcript.pyannote[2163].start |
12456.46409375 |
transcript.pyannote[2163].end |
12502.66784375 |
transcript.pyannote[2164].speaker |
SPEAKER_03 |
transcript.pyannote[2164].start |
12501.92534375 |
transcript.pyannote[2164].end |
12504.25409375 |
transcript.pyannote[2165].speaker |
SPEAKER_06 |
transcript.pyannote[2165].start |
12504.25409375 |
transcript.pyannote[2165].end |
12509.11409375 |
transcript.pyannote[2166].speaker |
SPEAKER_06 |
transcript.pyannote[2166].start |
12509.48534375 |
transcript.pyannote[2166].end |
12595.68284375 |
transcript.pyannote[2167].speaker |
SPEAKER_06 |
transcript.pyannote[2167].start |
12596.45909375 |
transcript.pyannote[2167].end |
12635.72721875 |
transcript.pyannote[2168].speaker |
SPEAKER_06 |
transcript.pyannote[2168].start |
12636.25034375 |
transcript.pyannote[2168].end |
12648.67034375 |
transcript.pyannote[2169].speaker |
SPEAKER_06 |
transcript.pyannote[2169].start |
12648.73784375 |
transcript.pyannote[2169].end |
12655.40346875 |
transcript.pyannote[2170].speaker |
SPEAKER_06 |
transcript.pyannote[2170].start |
12656.95596875 |
transcript.pyannote[2170].end |
12683.43284375 |
transcript.pyannote[2171].speaker |
SPEAKER_06 |
transcript.pyannote[2171].start |
12683.82096875 |
transcript.pyannote[2171].end |
12689.98034375 |
transcript.pyannote[2172].speaker |
SPEAKER_06 |
transcript.pyannote[2172].start |
12690.52034375 |
transcript.pyannote[2172].end |
12692.93346875 |
transcript.pyannote[2173].speaker |
SPEAKER_06 |
transcript.pyannote[2173].start |
12693.45659375 |
transcript.pyannote[2173].end |
12694.14846875 |
transcript.pyannote[2174].speaker |
SPEAKER_06 |
transcript.pyannote[2174].start |
12694.45221875 |
transcript.pyannote[2174].end |
12729.23159375 |
transcript.pyannote[2175].speaker |
SPEAKER_06 |
transcript.pyannote[2175].start |
12730.07534375 |
transcript.pyannote[2175].end |
12733.80471875 |
transcript.pyannote[2176].speaker |
SPEAKER_06 |
transcript.pyannote[2176].start |
12734.14221875 |
transcript.pyannote[2176].end |
12737.28096875 |
transcript.pyannote[2177].speaker |
SPEAKER_29 |
transcript.pyannote[2177].start |
12742.34346875 |
transcript.pyannote[2177].end |
12742.57971875 |
transcript.pyannote[2178].speaker |
SPEAKER_29 |
transcript.pyannote[2178].start |
12743.23784375 |
transcript.pyannote[2178].end |
12746.71409375 |
transcript.pyannote[2179].speaker |
SPEAKER_29 |
transcript.pyannote[2179].start |
12746.96721875 |
transcript.pyannote[2179].end |
12749.09346875 |
transcript.pyannote[2180].speaker |
SPEAKER_29 |
transcript.pyannote[2180].start |
12749.48159375 |
transcript.pyannote[2180].end |
12750.76409375 |
transcript.pyannote[2181].speaker |
SPEAKER_29 |
transcript.pyannote[2181].start |
12751.01721875 |
transcript.pyannote[2181].end |
12754.61159375 |
transcript.pyannote[2182].speaker |
SPEAKER_29 |
transcript.pyannote[2182].start |
12754.84784375 |
transcript.pyannote[2182].end |
12756.56909375 |
transcript.pyannote[2183].speaker |
SPEAKER_29 |
transcript.pyannote[2183].start |
12756.85596875 |
transcript.pyannote[2183].end |
12758.44221875 |
transcript.pyannote[2184].speaker |
SPEAKER_29 |
transcript.pyannote[2184].start |
12758.74596875 |
transcript.pyannote[2184].end |
12761.68221875 |
transcript.pyannote[2185].speaker |
SPEAKER_29 |
transcript.pyannote[2185].start |
12762.32346875 |
transcript.pyannote[2185].end |
12763.80846875 |
transcript.pyannote[2186].speaker |
SPEAKER_29 |
transcript.pyannote[2186].start |
12764.19659375 |
transcript.pyannote[2186].end |
12767.31846875 |
transcript.pyannote[2187].speaker |
SPEAKER_29 |
transcript.pyannote[2187].start |
12767.43659375 |
transcript.pyannote[2187].end |
12769.74846875 |
transcript.pyannote[2188].speaker |
SPEAKER_29 |
transcript.pyannote[2188].start |
12770.33909375 |
transcript.pyannote[2188].end |
12770.65971875 |
transcript.pyannote[2189].speaker |
SPEAKER_29 |
transcript.pyannote[2189].start |
12770.82846875 |
transcript.pyannote[2189].end |
12780.85221875 |
transcript.pyannote[2190].speaker |
SPEAKER_29 |
transcript.pyannote[2190].start |
12781.05471875 |
transcript.pyannote[2190].end |
12783.95721875 |
transcript.pyannote[2191].speaker |
SPEAKER_29 |
transcript.pyannote[2191].start |
12784.31159375 |
transcript.pyannote[2191].end |
12785.49284375 |
transcript.pyannote[2192].speaker |
SPEAKER_29 |
transcript.pyannote[2192].start |
12785.71221875 |
transcript.pyannote[2192].end |
12788.59784375 |
transcript.pyannote[2193].speaker |
SPEAKER_29 |
transcript.pyannote[2193].start |
12789.23909375 |
transcript.pyannote[2193].end |
12797.35596875 |
transcript.pyannote[2194].speaker |
SPEAKER_29 |
transcript.pyannote[2194].start |
12797.45721875 |
transcript.pyannote[2194].end |
12800.84909375 |
transcript.pyannote[2195].speaker |
SPEAKER_29 |
transcript.pyannote[2195].start |
12801.81096875 |
transcript.pyannote[2195].end |
12804.67971875 |
transcript.pyannote[2196].speaker |
SPEAKER_03 |
transcript.pyannote[2196].start |
12804.00471875 |
transcript.pyannote[2196].end |
12804.59534375 |
transcript.pyannote[2197].speaker |
SPEAKER_29 |
transcript.pyannote[2197].start |
12805.27034375 |
transcript.pyannote[2197].end |
12808.34159375 |
transcript.pyannote[2198].speaker |
SPEAKER_29 |
transcript.pyannote[2198].start |
12808.66221875 |
transcript.pyannote[2198].end |
12810.04596875 |
transcript.pyannote[2199].speaker |
SPEAKER_29 |
transcript.pyannote[2199].start |
12810.41721875 |
transcript.pyannote[2199].end |
12832.37159375 |
transcript.pyannote[2200].speaker |
SPEAKER_29 |
transcript.pyannote[2200].start |
12833.35034375 |
transcript.pyannote[2200].end |
12837.06284375 |
transcript.pyannote[2201].speaker |
SPEAKER_29 |
transcript.pyannote[2201].start |
12838.56471875 |
transcript.pyannote[2201].end |
12839.34096875 |
transcript.pyannote[2202].speaker |
SPEAKER_03 |
transcript.pyannote[2202].start |
12839.34096875 |
transcript.pyannote[2202].end |
12840.01596875 |
transcript.pyannote[2203].speaker |
SPEAKER_29 |
transcript.pyannote[2203].start |
12839.35784375 |
transcript.pyannote[2203].end |
12839.98221875 |
transcript.pyannote[2204].speaker |
SPEAKER_29 |
transcript.pyannote[2204].start |
12840.01596875 |
transcript.pyannote[2204].end |
12840.03284375 |
transcript.pyannote[2205].speaker |
SPEAKER_03 |
transcript.pyannote[2205].start |
12840.03284375 |
transcript.pyannote[2205].end |
12840.04971875 |
transcript.pyannote[2206].speaker |
SPEAKER_29 |
transcript.pyannote[2206].start |
12840.04971875 |
transcript.pyannote[2206].end |
12840.75846875 |
transcript.pyannote[2207].speaker |
SPEAKER_03 |
transcript.pyannote[2207].start |
12840.75846875 |
transcript.pyannote[2207].end |
12841.28159375 |
transcript.pyannote[2208].speaker |
SPEAKER_29 |
transcript.pyannote[2208].start |
12840.85971875 |
transcript.pyannote[2208].end |
12840.99471875 |
transcript.pyannote[2209].speaker |
SPEAKER_15 |
transcript.pyannote[2209].start |
12844.35284375 |
transcript.pyannote[2209].end |
12850.95096875 |
transcript.pyannote[2210].speaker |
SPEAKER_15 |
transcript.pyannote[2210].start |
12851.42346875 |
transcript.pyannote[2210].end |
12856.70534375 |
transcript.pyannote[2211].speaker |
SPEAKER_15 |
transcript.pyannote[2211].start |
12857.04284375 |
transcript.pyannote[2211].end |
12860.02971875 |
transcript.pyannote[2212].speaker |
SPEAKER_15 |
transcript.pyannote[2212].start |
12860.06346875 |
transcript.pyannote[2212].end |
12860.19846875 |
transcript.pyannote[2213].speaker |
SPEAKER_15 |
transcript.pyannote[2213].start |
12860.21534375 |
transcript.pyannote[2213].end |
12862.51034375 |
transcript.pyannote[2214].speaker |
SPEAKER_06 |
transcript.pyannote[2214].start |
12863.26971875 |
transcript.pyannote[2214].end |
12863.64096875 |
transcript.pyannote[2215].speaker |
SPEAKER_06 |
transcript.pyannote[2215].start |
12864.34971875 |
transcript.pyannote[2215].end |
12882.77721875 |
transcript.pyannote[2216].speaker |
SPEAKER_15 |
transcript.pyannote[2216].start |
12870.77909375 |
transcript.pyannote[2216].end |
12871.97721875 |
transcript.pyannote[2217].speaker |
SPEAKER_00 |
transcript.pyannote[2217].start |
12871.97721875 |
transcript.pyannote[2217].end |
12872.16284375 |
transcript.pyannote[2218].speaker |
SPEAKER_00 |
transcript.pyannote[2218].start |
12878.42346875 |
transcript.pyannote[2218].end |
12879.90846875 |
transcript.pyannote[2219].speaker |
SPEAKER_00 |
transcript.pyannote[2219].start |
12882.08534375 |
transcript.pyannote[2219].end |
12882.22034375 |
transcript.pyannote[2220].speaker |
SPEAKER_06 |
transcript.pyannote[2220].start |
12884.14409375 |
transcript.pyannote[2220].end |
12884.88659375 |
transcript.pyannote[2221].speaker |
SPEAKER_15 |
transcript.pyannote[2221].start |
12890.11784375 |
transcript.pyannote[2221].end |
12929.13284375 |
transcript.pyannote[2222].speaker |
SPEAKER_15 |
transcript.pyannote[2222].start |
12929.31846875 |
transcript.pyannote[2222].end |
12942.44721875 |
transcript.pyannote[2223].speaker |
SPEAKER_03 |
transcript.pyannote[2223].start |
12943.34159375 |
transcript.pyannote[2223].end |
12947.81346875 |
transcript.pyannote[2224].speaker |
SPEAKER_15 |
transcript.pyannote[2224].start |
12945.77159375 |
transcript.pyannote[2224].end |
12946.39596875 |
transcript.pyannote[2225].speaker |
SPEAKER_15 |
transcript.pyannote[2225].start |
12950.31096875 |
transcript.pyannote[2225].end |
12963.67596875 |
transcript.pyannote[2226].speaker |
SPEAKER_15 |
transcript.pyannote[2226].start |
12963.74346875 |
transcript.pyannote[2226].end |
12968.14784375 |
transcript.pyannote[2227].speaker |
SPEAKER_15 |
transcript.pyannote[2227].start |
12968.16471875 |
transcript.pyannote[2227].end |
12968.43471875 |
transcript.pyannote[2228].speaker |
SPEAKER_03 |
transcript.pyannote[2228].start |
12969.71721875 |
transcript.pyannote[2228].end |
12969.73409375 |
transcript.pyannote[2229].speaker |
SPEAKER_06 |
transcript.pyannote[2229].start |
12969.73409375 |
transcript.pyannote[2229].end |
12973.90221875 |
transcript.pyannote[2230].speaker |
SPEAKER_29 |
transcript.pyannote[2230].start |
12973.14284375 |
transcript.pyannote[2230].end |
12973.24409375 |
transcript.pyannote[2231].speaker |
SPEAKER_03 |
transcript.pyannote[2231].start |
12973.24409375 |
transcript.pyannote[2231].end |
12973.32846875 |
transcript.pyannote[2232].speaker |
SPEAKER_29 |
transcript.pyannote[2232].start |
12973.32846875 |
transcript.pyannote[2232].end |
12973.63221875 |
transcript.pyannote[2233].speaker |
SPEAKER_03 |
transcript.pyannote[2233].start |
12973.63221875 |
transcript.pyannote[2233].end |
12973.64909375 |
transcript.pyannote[2234].speaker |
SPEAKER_06 |
transcript.pyannote[2234].start |
12974.02034375 |
transcript.pyannote[2234].end |
12974.94846875 |
transcript.pyannote[2235].speaker |
SPEAKER_29 |
transcript.pyannote[2235].start |
12976.92284375 |
transcript.pyannote[2235].end |
12990.25409375 |
transcript.pyannote[2236].speaker |
SPEAKER_29 |
transcript.pyannote[2236].start |
12991.04721875 |
transcript.pyannote[2236].end |
12991.35096875 |
transcript.pyannote[2237].speaker |
SPEAKER_29 |
transcript.pyannote[2237].start |
12991.53659375 |
transcript.pyannote[2237].end |
12995.73846875 |
transcript.pyannote[2238].speaker |
SPEAKER_29 |
transcript.pyannote[2238].start |
12995.95784375 |
transcript.pyannote[2238].end |
13002.21846875 |
transcript.pyannote[2239].speaker |
SPEAKER_29 |
transcript.pyannote[2239].start |
13002.82596875 |
transcript.pyannote[2239].end |
13013.89596875 |
transcript.pyannote[2240].speaker |
SPEAKER_04 |
transcript.pyannote[2240].start |
13008.29346875 |
transcript.pyannote[2240].end |
13009.55909375 |
transcript.pyannote[2241].speaker |
SPEAKER_04 |
transcript.pyannote[2241].start |
13009.87971875 |
transcript.pyannote[2241].end |
13010.84159375 |
transcript.pyannote[2242].speaker |
SPEAKER_00 |
transcript.pyannote[2242].start |
13011.55034375 |
transcript.pyannote[2242].end |
13011.63471875 |
transcript.pyannote[2243].speaker |
SPEAKER_04 |
transcript.pyannote[2243].start |
13011.63471875 |
transcript.pyannote[2243].end |
13011.65159375 |
transcript.pyannote[2244].speaker |
SPEAKER_27 |
transcript.pyannote[2244].start |
13011.65159375 |
transcript.pyannote[2244].end |
13011.97221875 |
transcript.pyannote[2245].speaker |
SPEAKER_29 |
transcript.pyannote[2245].start |
13014.55409375 |
transcript.pyannote[2245].end |
13019.86971875 |
transcript.pyannote[2246].speaker |
SPEAKER_29 |
transcript.pyannote[2246].start |
13020.29159375 |
transcript.pyannote[2246].end |
13022.97471875 |
transcript.pyannote[2247].speaker |
SPEAKER_06 |
transcript.pyannote[2247].start |
13022.97471875 |
transcript.pyannote[2247].end |
13023.05909375 |
transcript.pyannote[2248].speaker |
SPEAKER_29 |
transcript.pyannote[2248].start |
13023.97034375 |
transcript.pyannote[2248].end |
13024.03784375 |
transcript.pyannote[2249].speaker |
SPEAKER_06 |
transcript.pyannote[2249].start |
13024.03784375 |
transcript.pyannote[2249].end |
13024.27409375 |
transcript.pyannote[2250].speaker |
SPEAKER_06 |
transcript.pyannote[2250].start |
13024.40909375 |
transcript.pyannote[2250].end |
13027.53096875 |
transcript.pyannote[2251].speaker |
SPEAKER_29 |
transcript.pyannote[2251].start |
13025.91096875 |
transcript.pyannote[2251].end |
13026.68721875 |
transcript.pyannote[2252].speaker |
SPEAKER_29 |
transcript.pyannote[2252].start |
13028.20596875 |
transcript.pyannote[2252].end |
13029.97784375 |
transcript.pyannote[2253].speaker |
SPEAKER_29 |
transcript.pyannote[2253].start |
13030.88909375 |
transcript.pyannote[2253].end |
13031.73284375 |
transcript.pyannote[2254].speaker |
SPEAKER_29 |
transcript.pyannote[2254].start |
13032.39096875 |
transcript.pyannote[2254].end |
13037.62221875 |
transcript.pyannote[2255].speaker |
SPEAKER_06 |
transcript.pyannote[2255].start |
13033.36971875 |
transcript.pyannote[2255].end |
13033.82534375 |
transcript.pyannote[2256].speaker |
SPEAKER_03 |
transcript.pyannote[2256].start |
13033.82534375 |
transcript.pyannote[2256].end |
13033.84221875 |
transcript.pyannote[2257].speaker |
SPEAKER_06 |
transcript.pyannote[2257].start |
13033.84221875 |
transcript.pyannote[2257].end |
13033.87596875 |
transcript.pyannote[2258].speaker |
SPEAKER_29 |
transcript.pyannote[2258].start |
13038.01034375 |
transcript.pyannote[2258].end |
13038.63471875 |
transcript.pyannote[2259].speaker |
SPEAKER_29 |
transcript.pyannote[2259].start |
13039.07346875 |
transcript.pyannote[2259].end |
13039.34346875 |
transcript.pyannote[2260].speaker |
SPEAKER_29 |
transcript.pyannote[2260].start |
13041.14909375 |
transcript.pyannote[2260].end |
13043.03909375 |
transcript.pyannote[2261].speaker |
SPEAKER_06 |
transcript.pyannote[2261].start |
13045.09784375 |
transcript.pyannote[2261].end |
13049.18159375 |
transcript.pyannote[2262].speaker |
SPEAKER_06 |
transcript.pyannote[2262].start |
13050.34596875 |
transcript.pyannote[2262].end |
13056.03284375 |
transcript.pyannote[2263].speaker |
SPEAKER_29 |
transcript.pyannote[2263].start |
13053.41721875 |
transcript.pyannote[2263].end |
13053.90659375 |
transcript.pyannote[2264].speaker |
SPEAKER_29 |
transcript.pyannote[2264].start |
13056.62346875 |
transcript.pyannote[2264].end |
13056.96096875 |
transcript.pyannote[2265].speaker |
SPEAKER_29 |
transcript.pyannote[2265].start |
13057.58534375 |
transcript.pyannote[2265].end |
13065.48284375 |
transcript.pyannote[2266].speaker |
SPEAKER_06 |
transcript.pyannote[2266].start |
13065.01034375 |
transcript.pyannote[2266].end |
13067.30534375 |
transcript.pyannote[2267].speaker |
SPEAKER_06 |
transcript.pyannote[2267].start |
13069.17846875 |
transcript.pyannote[2267].end |
13073.05971875 |
transcript.pyannote[2268].speaker |
SPEAKER_29 |
transcript.pyannote[2268].start |
13071.69284375 |
transcript.pyannote[2268].end |
13071.96284375 |
transcript.pyannote[2269].speaker |
SPEAKER_29 |
transcript.pyannote[2269].start |
13073.14409375 |
transcript.pyannote[2269].end |
13074.51096875 |
transcript.pyannote[2270].speaker |
SPEAKER_29 |
transcript.pyannote[2270].start |
13074.93284375 |
transcript.pyannote[2270].end |
13077.73409375 |
transcript.pyannote[2271].speaker |
SPEAKER_06 |
transcript.pyannote[2271].start |
13076.40096875 |
transcript.pyannote[2271].end |
13089.32721875 |
transcript.pyannote[2272].speaker |
SPEAKER_29 |
transcript.pyannote[2272].start |
13078.57784375 |
transcript.pyannote[2272].end |
13078.93221875 |
transcript.pyannote[2273].speaker |
SPEAKER_29 |
transcript.pyannote[2273].start |
13082.77971875 |
transcript.pyannote[2273].end |
13082.96534375 |
transcript.pyannote[2274].speaker |
SPEAKER_31 |
transcript.pyannote[2274].start |
13082.96534375 |
transcript.pyannote[2274].end |
13083.15096875 |
transcript.pyannote[2275].speaker |
SPEAKER_00 |
transcript.pyannote[2275].start |
13083.15096875 |
transcript.pyannote[2275].end |
13083.38721875 |
transcript.pyannote[2276].speaker |
SPEAKER_03 |
transcript.pyannote[2276].start |
13083.38721875 |
transcript.pyannote[2276].end |
13083.40409375 |
transcript.pyannote[2277].speaker |
SPEAKER_00 |
transcript.pyannote[2277].start |
13083.40409375 |
transcript.pyannote[2277].end |
13083.45471875 |
transcript.pyannote[2278].speaker |
SPEAKER_29 |
transcript.pyannote[2278].start |
13083.45471875 |
transcript.pyannote[2278].end |
13083.65721875 |
transcript.pyannote[2279].speaker |
SPEAKER_03 |
transcript.pyannote[2279].start |
13083.65721875 |
transcript.pyannote[2279].end |
13083.74159375 |
transcript.pyannote[2280].speaker |
SPEAKER_29 |
transcript.pyannote[2280].start |
13083.74159375 |
transcript.pyannote[2280].end |
13083.96096875 |
transcript.pyannote[2281].speaker |
SPEAKER_03 |
transcript.pyannote[2281].start |
13083.96096875 |
transcript.pyannote[2281].end |
13084.11284375 |
transcript.pyannote[2282].speaker |
SPEAKER_00 |
transcript.pyannote[2282].start |
13087.48784375 |
transcript.pyannote[2282].end |
13088.31471875 |
transcript.pyannote[2283].speaker |
SPEAKER_06 |
transcript.pyannote[2283].start |
13089.88409375 |
transcript.pyannote[2283].end |
13090.55909375 |
transcript.pyannote[2284].speaker |
SPEAKER_06 |
transcript.pyannote[2284].start |
13091.33534375 |
transcript.pyannote[2284].end |
13095.16596875 |
transcript.pyannote[2285].speaker |
SPEAKER_06 |
transcript.pyannote[2285].start |
13095.30096875 |
transcript.pyannote[2285].end |
13098.32159375 |
transcript.pyannote[2286].speaker |
SPEAKER_17 |
transcript.pyannote[2286].start |
13104.19409375 |
transcript.pyannote[2286].end |
13106.48909375 |
transcript.pyannote[2287].speaker |
SPEAKER_06 |
transcript.pyannote[2287].start |
13107.28221875 |
transcript.pyannote[2287].end |
13108.26096875 |
transcript.pyannote[2288].speaker |
SPEAKER_06 |
transcript.pyannote[2288].start |
13109.79659375 |
transcript.pyannote[2288].end |
13109.88096875 |
transcript.pyannote[2289].speaker |
SPEAKER_22 |
transcript.pyannote[2289].start |
13109.88096875 |
transcript.pyannote[2289].end |
13110.06659375 |
transcript.pyannote[2290].speaker |
SPEAKER_17 |
transcript.pyannote[2290].start |
13114.77471875 |
transcript.pyannote[2290].end |
13141.52159375 |
transcript.pyannote[2291].speaker |
SPEAKER_17 |
transcript.pyannote[2291].start |
13142.17971875 |
transcript.pyannote[2291].end |
13172.36909375 |
transcript.pyannote[2292].speaker |
SPEAKER_17 |
transcript.pyannote[2292].start |
13173.29721875 |
transcript.pyannote[2292].end |
13185.17721875 |
transcript.pyannote[2293].speaker |
SPEAKER_17 |
transcript.pyannote[2293].start |
13185.97034375 |
transcript.pyannote[2293].end |
13189.05846875 |
transcript.pyannote[2294].speaker |
SPEAKER_17 |
transcript.pyannote[2294].start |
13189.21034375 |
transcript.pyannote[2294].end |
13209.74721875 |
transcript.pyannote[2295].speaker |
SPEAKER_17 |
transcript.pyannote[2295].start |
13209.89909375 |
transcript.pyannote[2295].end |
13247.47971875 |
transcript.pyannote[2296].speaker |
SPEAKER_17 |
transcript.pyannote[2296].start |
13248.15471875 |
transcript.pyannote[2296].end |
13248.81284375 |
transcript.pyannote[2297].speaker |
SPEAKER_17 |
transcript.pyannote[2297].start |
13249.03221875 |
transcript.pyannote[2297].end |
13252.99784375 |
transcript.pyannote[2298].speaker |
SPEAKER_20 |
transcript.pyannote[2298].start |
13253.03159375 |
transcript.pyannote[2298].end |
13261.68846875 |
transcript.pyannote[2299].speaker |
SPEAKER_17 |
transcript.pyannote[2299].start |
13260.87846875 |
transcript.pyannote[2299].end |
13261.30034375 |
transcript.pyannote[2300].speaker |
SPEAKER_20 |
transcript.pyannote[2300].start |
13261.92471875 |
transcript.pyannote[2300].end |
13270.36221875 |
transcript.pyannote[2301].speaker |
SPEAKER_17 |
transcript.pyannote[2301].start |
13270.64909375 |
transcript.pyannote[2301].end |
13277.14596875 |
transcript.pyannote[2302].speaker |
SPEAKER_20 |
transcript.pyannote[2302].start |
13276.26846875 |
transcript.pyannote[2302].end |
13296.97409375 |
transcript.pyannote[2303].speaker |
SPEAKER_20 |
transcript.pyannote[2303].start |
13297.46346875 |
transcript.pyannote[2303].end |
13302.20534375 |
transcript.pyannote[2304].speaker |
SPEAKER_20 |
transcript.pyannote[2304].start |
13302.67784375 |
transcript.pyannote[2304].end |
13311.30096875 |
transcript.pyannote[2305].speaker |
SPEAKER_17 |
transcript.pyannote[2305].start |
13311.43596875 |
transcript.pyannote[2305].end |
13312.61721875 |
transcript.pyannote[2306].speaker |
SPEAKER_20 |
transcript.pyannote[2306].start |
13312.46534375 |
transcript.pyannote[2306].end |
13312.49909375 |
transcript.pyannote[2307].speaker |
SPEAKER_20 |
transcript.pyannote[2307].start |
13312.53284375 |
transcript.pyannote[2307].end |
13312.80284375 |
transcript.pyannote[2308].speaker |
SPEAKER_17 |
transcript.pyannote[2308].start |
13312.65096875 |
transcript.pyannote[2308].end |
13312.68471875 |
transcript.pyannote[2309].speaker |
SPEAKER_17 |
transcript.pyannote[2309].start |
13312.76909375 |
transcript.pyannote[2309].end |
13317.07221875 |
transcript.pyannote[2310].speaker |
SPEAKER_20 |
transcript.pyannote[2310].start |
13312.81971875 |
transcript.pyannote[2310].end |
13312.83659375 |
transcript.pyannote[2311].speaker |
SPEAKER_20 |
transcript.pyannote[2311].start |
13313.25846875 |
transcript.pyannote[2311].end |
13313.98409375 |
transcript.pyannote[2312].speaker |
SPEAKER_17 |
transcript.pyannote[2312].start |
13317.39284375 |
transcript.pyannote[2312].end |
13319.01284375 |
transcript.pyannote[2313].speaker |
SPEAKER_17 |
transcript.pyannote[2313].start |
13319.38409375 |
transcript.pyannote[2313].end |
13339.26284375 |
transcript.pyannote[2314].speaker |
SPEAKER_17 |
transcript.pyannote[2314].start |
13339.46534375 |
transcript.pyannote[2314].end |
13345.89471875 |
transcript.pyannote[2315].speaker |
SPEAKER_17 |
transcript.pyannote[2315].start |
13346.83971875 |
transcript.pyannote[2315].end |
13357.92659375 |
transcript.pyannote[2316].speaker |
SPEAKER_20 |
transcript.pyannote[2316].start |
13357.36971875 |
transcript.pyannote[2316].end |
13362.83721875 |
transcript.pyannote[2317].speaker |
SPEAKER_17 |
transcript.pyannote[2317].start |
13361.35221875 |
transcript.pyannote[2317].end |
13361.82471875 |
transcript.pyannote[2318].speaker |
SPEAKER_20 |
transcript.pyannote[2318].start |
13363.15784375 |
transcript.pyannote[2318].end |
13363.24221875 |
transcript.pyannote[2319].speaker |
SPEAKER_17 |
transcript.pyannote[2319].start |
13363.37721875 |
transcript.pyannote[2319].end |
13363.84971875 |
transcript.pyannote[2320].speaker |
SPEAKER_17 |
transcript.pyannote[2320].start |
13364.15346875 |
transcript.pyannote[2320].end |
13374.66659375 |
transcript.pyannote[2321].speaker |
SPEAKER_20 |
transcript.pyannote[2321].start |
13367.59596875 |
transcript.pyannote[2321].end |
13367.96721875 |
transcript.pyannote[2322].speaker |
SPEAKER_20 |
transcript.pyannote[2322].start |
13373.83971875 |
transcript.pyannote[2322].end |
13387.69409375 |
transcript.pyannote[2323].speaker |
SPEAKER_17 |
transcript.pyannote[2323].start |
13382.64846875 |
transcript.pyannote[2323].end |
13383.01971875 |
transcript.pyannote[2324].speaker |
SPEAKER_17 |
transcript.pyannote[2324].start |
13385.43284375 |
transcript.pyannote[2324].end |
13386.74909375 |
transcript.pyannote[2325].speaker |
SPEAKER_20 |
transcript.pyannote[2325].start |
13387.93034375 |
transcript.pyannote[2325].end |
13394.89971875 |
transcript.pyannote[2326].speaker |
SPEAKER_17 |
transcript.pyannote[2326].start |
13394.74784375 |
transcript.pyannote[2326].end |
13401.29534375 |
transcript.pyannote[2327].speaker |
SPEAKER_20 |
transcript.pyannote[2327].start |
13400.36721875 |
transcript.pyannote[2327].end |
13400.40096875 |
transcript.pyannote[2328].speaker |
SPEAKER_20 |
transcript.pyannote[2328].start |
13400.41784375 |
transcript.pyannote[2328].end |
13422.89534375 |
transcript.pyannote[2329].speaker |
SPEAKER_17 |
transcript.pyannote[2329].start |
13423.06409375 |
transcript.pyannote[2329].end |
13440.19221875 |
transcript.pyannote[2330].speaker |
SPEAKER_17 |
transcript.pyannote[2330].start |
13440.83346875 |
transcript.pyannote[2330].end |
13481.48534375 |
transcript.pyannote[2331].speaker |
SPEAKER_22 |
transcript.pyannote[2331].start |
13446.77346875 |
transcript.pyannote[2331].end |
13446.84096875 |
transcript.pyannote[2332].speaker |
SPEAKER_22 |
transcript.pyannote[2332].start |
13446.92534375 |
transcript.pyannote[2332].end |
13446.99284375 |
transcript.pyannote[2333].speaker |
SPEAKER_00 |
transcript.pyannote[2333].start |
13446.99284375 |
transcript.pyannote[2333].end |
13447.02659375 |
transcript.pyannote[2334].speaker |
SPEAKER_00 |
transcript.pyannote[2334].start |
13451.71784375 |
transcript.pyannote[2334].end |
13452.12284375 |
transcript.pyannote[2335].speaker |
SPEAKER_17 |
transcript.pyannote[2335].start |
13481.73846875 |
transcript.pyannote[2335].end |
13483.02096875 |
transcript.pyannote[2336].speaker |
SPEAKER_06 |
transcript.pyannote[2336].start |
13488.37034375 |
transcript.pyannote[2336].end |
13491.17159375 |
transcript.pyannote[2337].speaker |
SPEAKER_22 |
transcript.pyannote[2337].start |
13491.91409375 |
transcript.pyannote[2337].end |
13492.70721875 |
transcript.pyannote[2338].speaker |
SPEAKER_06 |
transcript.pyannote[2338].start |
13493.31471875 |
transcript.pyannote[2338].end |
13495.00221875 |
transcript.pyannote[2339].speaker |
SPEAKER_06 |
transcript.pyannote[2339].start |
13495.03596875 |
transcript.pyannote[2339].end |
13495.23846875 |
transcript.pyannote[2340].speaker |
SPEAKER_12 |
transcript.pyannote[2340].start |
13495.23846875 |
transcript.pyannote[2340].end |
13496.43659375 |
transcript.pyannote[2341].speaker |
SPEAKER_06 |
transcript.pyannote[2341].start |
13496.87534375 |
transcript.pyannote[2341].end |
13497.38159375 |
transcript.pyannote[2342].speaker |
SPEAKER_12 |
transcript.pyannote[2342].start |
13498.78221875 |
transcript.pyannote[2342].end |
13498.79909375 |
transcript.pyannote[2343].speaker |
SPEAKER_14 |
transcript.pyannote[2343].start |
13498.79909375 |
transcript.pyannote[2343].end |
13500.36846875 |
transcript.pyannote[2344].speaker |
SPEAKER_03 |
transcript.pyannote[2344].start |
13504.50284375 |
transcript.pyannote[2344].end |
13505.56596875 |
transcript.pyannote[2345].speaker |
SPEAKER_06 |
transcript.pyannote[2345].start |
13507.32096875 |
transcript.pyannote[2345].end |
13508.55284375 |
transcript.pyannote[2346].speaker |
SPEAKER_06 |
transcript.pyannote[2346].start |
13509.56534375 |
transcript.pyannote[2346].end |
13512.95721875 |
transcript.pyannote[2347].speaker |
SPEAKER_05 |
transcript.pyannote[2347].start |
13522.74471875 |
transcript.pyannote[2347].end |
13523.65596875 |
transcript.pyannote[2348].speaker |
SPEAKER_05 |
transcript.pyannote[2348].start |
13524.02721875 |
transcript.pyannote[2348].end |
13526.05221875 |
transcript.pyannote[2349].speaker |
SPEAKER_06 |
transcript.pyannote[2349].start |
13527.26721875 |
transcript.pyannote[2349].end |
13527.28409375 |
transcript.pyannote[2350].speaker |
SPEAKER_05 |
transcript.pyannote[2350].start |
13527.28409375 |
transcript.pyannote[2350].end |
13528.36409375 |
transcript.pyannote[2351].speaker |
SPEAKER_21 |
transcript.pyannote[2351].start |
13531.55346875 |
transcript.pyannote[2351].end |
13532.11034375 |
transcript.pyannote[2352].speaker |
SPEAKER_05 |
transcript.pyannote[2352].start |
13532.27909375 |
transcript.pyannote[2352].end |
13533.25784375 |
transcript.pyannote[2353].speaker |
SPEAKER_05 |
transcript.pyannote[2353].start |
13533.94971875 |
transcript.pyannote[2353].end |
13537.49346875 |
transcript.pyannote[2354].speaker |
SPEAKER_05 |
transcript.pyannote[2354].start |
13537.52721875 |
transcript.pyannote[2354].end |
13537.76346875 |
transcript.pyannote[2355].speaker |
SPEAKER_05 |
transcript.pyannote[2355].start |
13538.08409375 |
transcript.pyannote[2355].end |
13540.54784375 |
transcript.pyannote[2356].speaker |
SPEAKER_20 |
transcript.pyannote[2356].start |
13540.54784375 |
transcript.pyannote[2356].end |
13543.24784375 |
transcript.pyannote[2357].speaker |
SPEAKER_05 |
transcript.pyannote[2357].start |
13540.81784375 |
transcript.pyannote[2357].end |
13540.98659375 |
transcript.pyannote[2358].speaker |
SPEAKER_05 |
transcript.pyannote[2358].start |
13541.59409375 |
transcript.pyannote[2358].end |
13542.53909375 |
transcript.pyannote[2359].speaker |
SPEAKER_05 |
transcript.pyannote[2359].start |
13543.24784375 |
transcript.pyannote[2359].end |
13543.46721875 |
transcript.pyannote[2360].speaker |
SPEAKER_20 |
transcript.pyannote[2360].start |
13543.46721875 |
transcript.pyannote[2360].end |
13544.74971875 |
transcript.pyannote[2361].speaker |
SPEAKER_05 |
transcript.pyannote[2361].start |
13544.74971875 |
transcript.pyannote[2361].end |
13544.96909375 |
transcript.pyannote[2362].speaker |
SPEAKER_20 |
transcript.pyannote[2362].start |
13544.96909375 |
transcript.pyannote[2362].end |
13546.87596875 |
transcript.pyannote[2363].speaker |
SPEAKER_05 |
transcript.pyannote[2363].start |
13545.57659375 |
transcript.pyannote[2363].end |
13545.74534375 |
transcript.pyannote[2364].speaker |
SPEAKER_05 |
transcript.pyannote[2364].start |
13547.07846875 |
transcript.pyannote[2364].end |
13585.50284375 |
transcript.pyannote[2365].speaker |
SPEAKER_20 |
transcript.pyannote[2365].start |
13554.11534375 |
transcript.pyannote[2365].end |
13555.56659375 |
transcript.pyannote[2366].speaker |
SPEAKER_00 |
transcript.pyannote[2366].start |
13555.56659375 |
transcript.pyannote[2366].end |
13555.61721875 |
transcript.pyannote[2367].speaker |
SPEAKER_05 |
transcript.pyannote[2367].start |
13586.41409375 |
transcript.pyannote[2367].end |
13587.29159375 |
transcript.pyannote[2368].speaker |
SPEAKER_20 |
transcript.pyannote[2368].start |
13588.11846875 |
transcript.pyannote[2368].end |
13623.92721875 |
transcript.pyannote[2369].speaker |
SPEAKER_24 |
transcript.pyannote[2369].start |
13623.82596875 |
transcript.pyannote[2369].end |
13623.84284375 |
transcript.pyannote[2370].speaker |
SPEAKER_05 |
transcript.pyannote[2370].start |
13623.84284375 |
transcript.pyannote[2370].end |
13624.19721875 |
transcript.pyannote[2371].speaker |
SPEAKER_20 |
transcript.pyannote[2371].start |
13624.04534375 |
transcript.pyannote[2371].end |
13627.75784375 |
transcript.pyannote[2372].speaker |
SPEAKER_05 |
transcript.pyannote[2372].start |
13626.37409375 |
transcript.pyannote[2372].end |
13633.24221875 |
transcript.pyannote[2373].speaker |
SPEAKER_20 |
transcript.pyannote[2373].start |
13629.47909375 |
transcript.pyannote[2373].end |
13630.23846875 |
transcript.pyannote[2374].speaker |
SPEAKER_20 |
transcript.pyannote[2374].start |
13633.32659375 |
transcript.pyannote[2374].end |
13643.01284375 |
transcript.pyannote[2375].speaker |
SPEAKER_20 |
transcript.pyannote[2375].start |
13643.33346875 |
transcript.pyannote[2375].end |
13647.75471875 |
transcript.pyannote[2376].speaker |
SPEAKER_20 |
transcript.pyannote[2376].start |
13648.02471875 |
transcript.pyannote[2376].end |
13655.21346875 |
transcript.pyannote[2377].speaker |
SPEAKER_05 |
transcript.pyannote[2377].start |
13655.33159375 |
transcript.pyannote[2377].end |
13679.86784375 |
transcript.pyannote[2378].speaker |
SPEAKER_27 |
transcript.pyannote[2378].start |
13668.84846875 |
transcript.pyannote[2378].end |
13671.05909375 |
transcript.pyannote[2379].speaker |
SPEAKER_05 |
transcript.pyannote[2379].start |
13680.40784375 |
transcript.pyannote[2379].end |
13686.76971875 |
transcript.pyannote[2380].speaker |
SPEAKER_20 |
transcript.pyannote[2380].start |
13684.93034375 |
transcript.pyannote[2380].end |
13691.62971875 |
transcript.pyannote[2381].speaker |
SPEAKER_05 |
transcript.pyannote[2381].start |
13692.20346875 |
transcript.pyannote[2381].end |
13716.31784375 |
transcript.pyannote[2382].speaker |
SPEAKER_27 |
transcript.pyannote[2382].start |
13701.83909375 |
transcript.pyannote[2382].end |
13702.96971875 |
transcript.pyannote[2383].speaker |
SPEAKER_00 |
transcript.pyannote[2383].start |
13702.96971875 |
transcript.pyannote[2383].end |
13705.41659375 |
transcript.pyannote[2384].speaker |
SPEAKER_20 |
transcript.pyannote[2384].start |
13710.78284375 |
transcript.pyannote[2384].end |
13711.71096875 |
transcript.pyannote[2385].speaker |
SPEAKER_20 |
transcript.pyannote[2385].start |
13714.81596875 |
transcript.pyannote[2385].end |
13717.34721875 |
transcript.pyannote[2386].speaker |
SPEAKER_05 |
transcript.pyannote[2386].start |
13717.92096875 |
transcript.pyannote[2386].end |
13718.84909375 |
transcript.pyannote[2387].speaker |
SPEAKER_05 |
transcript.pyannote[2387].start |
13719.13596875 |
transcript.pyannote[2387].end |
13740.21284375 |
transcript.pyannote[2388].speaker |
SPEAKER_20 |
transcript.pyannote[2388].start |
13721.68409375 |
transcript.pyannote[2388].end |
13722.15659375 |
transcript.pyannote[2389].speaker |
SPEAKER_20 |
transcript.pyannote[2389].start |
13739.80784375 |
transcript.pyannote[2389].end |
13753.25721875 |
transcript.pyannote[2390].speaker |
SPEAKER_20 |
transcript.pyannote[2390].start |
13753.66221875 |
transcript.pyannote[2390].end |
13756.04159375 |
transcript.pyannote[2391].speaker |
SPEAKER_05 |
transcript.pyannote[2391].start |
13756.46346875 |
transcript.pyannote[2391].end |
13763.80409375 |
transcript.pyannote[2392].speaker |
SPEAKER_05 |
transcript.pyannote[2392].start |
13764.36096875 |
transcript.pyannote[2392].end |
13772.29221875 |
transcript.pyannote[2393].speaker |
SPEAKER_20 |
transcript.pyannote[2393].start |
13772.17409375 |
transcript.pyannote[2393].end |
13790.01096875 |
transcript.pyannote[2394].speaker |
SPEAKER_22 |
transcript.pyannote[2394].start |
13789.90971875 |
transcript.pyannote[2394].end |
13790.39909375 |
transcript.pyannote[2395].speaker |
SPEAKER_20 |
transcript.pyannote[2395].start |
13790.09534375 |
transcript.pyannote[2395].end |
13793.55471875 |
transcript.pyannote[2396].speaker |
SPEAKER_20 |
transcript.pyannote[2396].start |
13793.72346875 |
transcript.pyannote[2396].end |
13796.17034375 |
transcript.pyannote[2397].speaker |
SPEAKER_05 |
transcript.pyannote[2397].start |
13796.17034375 |
transcript.pyannote[2397].end |
13796.54159375 |
transcript.pyannote[2398].speaker |
SPEAKER_20 |
transcript.pyannote[2398].start |
13796.54159375 |
transcript.pyannote[2398].end |
13798.12784375 |
transcript.pyannote[2399].speaker |
SPEAKER_05 |
transcript.pyannote[2399].start |
13797.43596875 |
transcript.pyannote[2399].end |
13799.71409375 |
transcript.pyannote[2400].speaker |
SPEAKER_20 |
transcript.pyannote[2400].start |
13799.71409375 |
transcript.pyannote[2400].end |
13800.94596875 |
transcript.pyannote[2401].speaker |
SPEAKER_05 |
transcript.pyannote[2401].start |
13800.20346875 |
transcript.pyannote[2401].end |
13801.28346875 |
transcript.pyannote[2402].speaker |
SPEAKER_20 |
transcript.pyannote[2402].start |
13801.19909375 |
transcript.pyannote[2402].end |
13808.33721875 |
transcript.pyannote[2403].speaker |
SPEAKER_05 |
transcript.pyannote[2403].start |
13801.92471875 |
transcript.pyannote[2403].end |
13802.86971875 |
transcript.pyannote[2404].speaker |
SPEAKER_05 |
transcript.pyannote[2404].start |
13804.54034375 |
transcript.pyannote[2404].end |
13804.91159375 |
transcript.pyannote[2405].speaker |
SPEAKER_05 |
transcript.pyannote[2405].start |
13808.11784375 |
transcript.pyannote[2405].end |
13808.48909375 |
transcript.pyannote[2406].speaker |
SPEAKER_20 |
transcript.pyannote[2406].start |
13808.48909375 |
transcript.pyannote[2406].end |
13808.50596875 |
transcript.pyannote[2407].speaker |
SPEAKER_20 |
transcript.pyannote[2407].start |
13808.59034375 |
transcript.pyannote[2407].end |
13809.72096875 |
transcript.pyannote[2408].speaker |
SPEAKER_05 |
transcript.pyannote[2408].start |
13809.72096875 |
transcript.pyannote[2408].end |
13812.79221875 |
transcript.pyannote[2409].speaker |
SPEAKER_20 |
transcript.pyannote[2409].start |
13811.32409375 |
transcript.pyannote[2409].end |
13814.22659375 |
transcript.pyannote[2410].speaker |
SPEAKER_05 |
transcript.pyannote[2410].start |
13813.02846875 |
transcript.pyannote[2410].end |
13816.92659375 |
transcript.pyannote[2411].speaker |
SPEAKER_20 |
transcript.pyannote[2411].start |
13815.93096875 |
transcript.pyannote[2411].end |
13821.87096875 |
transcript.pyannote[2412].speaker |
SPEAKER_05 |
transcript.pyannote[2412].start |
13822.83284375 |
transcript.pyannote[2412].end |
13828.46909375 |
transcript.pyannote[2413].speaker |
SPEAKER_20 |
transcript.pyannote[2413].start |
13828.46909375 |
transcript.pyannote[2413].end |
13828.84034375 |
transcript.pyannote[2414].speaker |
SPEAKER_05 |
transcript.pyannote[2414].start |
13828.84034375 |
transcript.pyannote[2414].end |
13832.50221875 |
transcript.pyannote[2415].speaker |
SPEAKER_20 |
transcript.pyannote[2415].start |
13830.84846875 |
transcript.pyannote[2415].end |
13833.75096875 |
transcript.pyannote[2416].speaker |
SPEAKER_05 |
transcript.pyannote[2416].start |
13833.54846875 |
transcript.pyannote[2416].end |
13859.16471875 |
transcript.pyannote[2417].speaker |
SPEAKER_20 |
transcript.pyannote[2417].start |
13838.54346875 |
transcript.pyannote[2417].end |
13838.83034375 |
transcript.pyannote[2418].speaker |
SPEAKER_05 |
transcript.pyannote[2418].start |
13859.72159375 |
transcript.pyannote[2418].end |
13866.13409375 |
transcript.pyannote[2419].speaker |
SPEAKER_20 |
transcript.pyannote[2419].start |
13865.57721875 |
transcript.pyannote[2419].end |
13867.66971875 |
transcript.pyannote[2420].speaker |
SPEAKER_05 |
transcript.pyannote[2420].start |
13867.87221875 |
transcript.pyannote[2420].end |
13874.38596875 |
transcript.pyannote[2421].speaker |
SPEAKER_20 |
transcript.pyannote[2421].start |
13869.25596875 |
transcript.pyannote[2421].end |
13870.04909375 |
transcript.pyannote[2422].speaker |
SPEAKER_20 |
transcript.pyannote[2422].start |
13873.49159375 |
transcript.pyannote[2422].end |
13887.64971875 |
transcript.pyannote[2423].speaker |
SPEAKER_05 |
transcript.pyannote[2423].start |
13885.72596875 |
transcript.pyannote[2423].end |
13886.04659375 |
transcript.pyannote[2424].speaker |
SPEAKER_06 |
transcript.pyannote[2424].start |
13887.70034375 |
transcript.pyannote[2424].end |
13887.73409375 |
transcript.pyannote[2425].speaker |
SPEAKER_05 |
transcript.pyannote[2425].start |
13887.73409375 |
transcript.pyannote[2425].end |
13887.75096875 |
transcript.pyannote[2426].speaker |
SPEAKER_06 |
transcript.pyannote[2426].start |
13887.75096875 |
transcript.pyannote[2426].end |
13888.59471875 |
transcript.pyannote[2427].speaker |
SPEAKER_05 |
transcript.pyannote[2427].start |
13888.59471875 |
transcript.pyannote[2427].end |
13888.96596875 |
transcript.pyannote[2428].speaker |
SPEAKER_06 |
transcript.pyannote[2428].start |
13888.96596875 |
transcript.pyannote[2428].end |
13889.35409375 |
transcript.pyannote[2429].speaker |
SPEAKER_20 |
transcript.pyannote[2429].start |
13889.35409375 |
transcript.pyannote[2429].end |
13890.26534375 |
transcript.pyannote[2430].speaker |
SPEAKER_06 |
transcript.pyannote[2430].start |
13890.65346875 |
transcript.pyannote[2430].end |
13896.42471875 |
transcript.pyannote[2431].speaker |
SPEAKER_14 |
transcript.pyannote[2431].start |
13906.06034375 |
transcript.pyannote[2431].end |
13913.01284375 |
transcript.pyannote[2432].speaker |
SPEAKER_06 |
transcript.pyannote[2432].start |
13913.94096875 |
transcript.pyannote[2432].end |
13915.57784375 |
transcript.pyannote[2433].speaker |
SPEAKER_14 |
transcript.pyannote[2433].start |
13918.66596875 |
transcript.pyannote[2433].end |
13935.00096875 |
transcript.pyannote[2434].speaker |
SPEAKER_20 |
transcript.pyannote[2434].start |
13935.59159375 |
transcript.pyannote[2434].end |
13939.18596875 |
transcript.pyannote[2435].speaker |
SPEAKER_14 |
transcript.pyannote[2435].start |
13938.71346875 |
transcript.pyannote[2435].end |
13940.97471875 |
transcript.pyannote[2436].speaker |
SPEAKER_20 |
transcript.pyannote[2436].start |
13941.02534375 |
transcript.pyannote[2436].end |
13941.31221875 |
transcript.pyannote[2437].speaker |
SPEAKER_20 |
transcript.pyannote[2437].start |
13941.70034375 |
transcript.pyannote[2437].end |
13956.58409375 |
transcript.pyannote[2438].speaker |
SPEAKER_14 |
transcript.pyannote[2438].start |
13948.06221875 |
transcript.pyannote[2438].end |
13949.17596875 |
transcript.pyannote[2439].speaker |
SPEAKER_14 |
transcript.pyannote[2439].start |
13950.01971875 |
transcript.pyannote[2439].end |
13950.40784375 |
transcript.pyannote[2440].speaker |
SPEAKER_14 |
transcript.pyannote[2440].start |
13953.86721875 |
transcript.pyannote[2440].end |
13972.46346875 |
transcript.pyannote[2441].speaker |
SPEAKER_20 |
transcript.pyannote[2441].start |
13957.17471875 |
transcript.pyannote[2441].end |
13957.96784375 |
transcript.pyannote[2442].speaker |
SPEAKER_14 |
transcript.pyannote[2442].start |
13972.95284375 |
transcript.pyannote[2442].end |
13989.27096875 |
transcript.pyannote[2443].speaker |
SPEAKER_20 |
transcript.pyannote[2443].start |
13989.92909375 |
transcript.pyannote[2443].end |
13994.46846875 |
transcript.pyannote[2444].speaker |
SPEAKER_14 |
transcript.pyannote[2444].start |
13994.46846875 |
transcript.pyannote[2444].end |
13994.48534375 |
transcript.pyannote[2445].speaker |
SPEAKER_20 |
transcript.pyannote[2445].start |
13994.48534375 |
transcript.pyannote[2445].end |
13994.50221875 |
transcript.pyannote[2446].speaker |
SPEAKER_14 |
transcript.pyannote[2446].start |
13994.50221875 |
transcript.pyannote[2446].end |
14000.67846875 |
transcript.pyannote[2447].speaker |
SPEAKER_20 |
transcript.pyannote[2447].start |
13995.05909375 |
transcript.pyannote[2447].end |
13995.61596875 |
transcript.pyannote[2448].speaker |
SPEAKER_14 |
transcript.pyannote[2448].start |
14001.15096875 |
transcript.pyannote[2448].end |
14010.09471875 |
transcript.pyannote[2449].speaker |
SPEAKER_14 |
transcript.pyannote[2449].start |
14010.51659375 |
transcript.pyannote[2449].end |
14014.22909375 |
transcript.pyannote[2450].speaker |
SPEAKER_20 |
transcript.pyannote[2450].start |
14014.22909375 |
transcript.pyannote[2450].end |
14023.93221875 |
transcript.pyannote[2451].speaker |
SPEAKER_19 |
transcript.pyannote[2451].start |
14023.57784375 |
transcript.pyannote[2451].end |
14023.86471875 |
transcript.pyannote[2452].speaker |
SPEAKER_19 |
transcript.pyannote[2452].start |
14023.93221875 |
transcript.pyannote[2452].end |
14024.03346875 |
transcript.pyannote[2453].speaker |
SPEAKER_20 |
transcript.pyannote[2453].start |
14024.03346875 |
transcript.pyannote[2453].end |
14033.66909375 |
transcript.pyannote[2454].speaker |
SPEAKER_14 |
transcript.pyannote[2454].start |
14028.79221875 |
transcript.pyannote[2454].end |
14029.02846875 |
transcript.pyannote[2455].speaker |
SPEAKER_14 |
transcript.pyannote[2455].start |
14033.39909375 |
transcript.pyannote[2455].end |
14050.84784375 |
transcript.pyannote[2456].speaker |
SPEAKER_20 |
transcript.pyannote[2456].start |
14034.66471875 |
transcript.pyannote[2456].end |
14035.18784375 |
transcript.pyannote[2457].speaker |
SPEAKER_14 |
transcript.pyannote[2457].start |
14051.75909375 |
transcript.pyannote[2457].end |
14053.29471875 |
transcript.pyannote[2458].speaker |
SPEAKER_14 |
transcript.pyannote[2458].start |
14053.83471875 |
transcript.pyannote[2458].end |
14054.23971875 |
transcript.pyannote[2459].speaker |
SPEAKER_14 |
transcript.pyannote[2459].start |
14054.57721875 |
transcript.pyannote[2459].end |
14055.35346875 |
transcript.pyannote[2460].speaker |
SPEAKER_20 |
transcript.pyannote[2460].start |
14055.92721875 |
transcript.pyannote[2460].end |
14068.53284375 |
transcript.pyannote[2461].speaker |
SPEAKER_14 |
transcript.pyannote[2461].start |
14059.53846875 |
transcript.pyannote[2461].end |
14060.17971875 |
transcript.pyannote[2462].speaker |
SPEAKER_22 |
transcript.pyannote[2462].start |
14060.17971875 |
transcript.pyannote[2462].end |
14060.21346875 |
transcript.pyannote[2463].speaker |
SPEAKER_14 |
transcript.pyannote[2463].start |
14060.36534375 |
transcript.pyannote[2463].end |
14060.97284375 |
transcript.pyannote[2464].speaker |
SPEAKER_22 |
transcript.pyannote[2464].start |
14060.97284375 |
transcript.pyannote[2464].end |
14061.07409375 |
transcript.pyannote[2465].speaker |
SPEAKER_20 |
transcript.pyannote[2465].start |
14069.30909375 |
transcript.pyannote[2465].end |
14076.41346875 |
transcript.pyannote[2466].speaker |
SPEAKER_14 |
transcript.pyannote[2466].start |
14073.29159375 |
transcript.pyannote[2466].end |
14073.44346875 |
transcript.pyannote[2467].speaker |
SPEAKER_14 |
transcript.pyannote[2467].start |
14076.41346875 |
transcript.pyannote[2467].end |
14095.85346875 |
transcript.pyannote[2468].speaker |
SPEAKER_20 |
transcript.pyannote[2468].start |
14077.15596875 |
transcript.pyannote[2468].end |
14078.01659375 |
transcript.pyannote[2469].speaker |
SPEAKER_00 |
transcript.pyannote[2469].start |
14086.63971875 |
transcript.pyannote[2469].end |
14087.01096875 |
transcript.pyannote[2470].speaker |
SPEAKER_14 |
transcript.pyannote[2470].start |
14096.35971875 |
transcript.pyannote[2470].end |
14103.51471875 |
transcript.pyannote[2471].speaker |
SPEAKER_14 |
transcript.pyannote[2471].start |
14103.97034375 |
transcript.pyannote[2471].end |
14104.35846875 |
transcript.pyannote[2472].speaker |
SPEAKER_14 |
transcript.pyannote[2472].start |
14104.72971875 |
transcript.pyannote[2472].end |
14109.60659375 |
transcript.pyannote[2473].speaker |
SPEAKER_14 |
transcript.pyannote[2473].start |
14109.62346875 |
transcript.pyannote[2473].end |
14110.63596875 |
transcript.pyannote[2474].speaker |
SPEAKER_20 |
transcript.pyannote[2474].start |
14109.85971875 |
transcript.pyannote[2474].end |
14110.01159375 |
transcript.pyannote[2475].speaker |
SPEAKER_20 |
transcript.pyannote[2475].start |
14111.20971875 |
transcript.pyannote[2475].end |
14135.39159375 |
transcript.pyannote[2476].speaker |
SPEAKER_14 |
transcript.pyannote[2476].start |
14114.68596875 |
transcript.pyannote[2476].end |
14114.77034375 |
transcript.pyannote[2477].speaker |
SPEAKER_00 |
transcript.pyannote[2477].start |
14118.87096875 |
transcript.pyannote[2477].end |
14118.88784375 |
transcript.pyannote[2478].speaker |
SPEAKER_21 |
transcript.pyannote[2478].start |
14118.88784375 |
transcript.pyannote[2478].end |
14119.19159375 |
transcript.pyannote[2479].speaker |
SPEAKER_21 |
transcript.pyannote[2479].start |
14124.27096875 |
transcript.pyannote[2479].end |
14124.84471875 |
transcript.pyannote[2480].speaker |
SPEAKER_14 |
transcript.pyannote[2480].start |
14129.18159375 |
transcript.pyannote[2480].end |
14129.21534375 |
transcript.pyannote[2481].speaker |
SPEAKER_21 |
transcript.pyannote[2481].start |
14129.21534375 |
transcript.pyannote[2481].end |
14129.95784375 |
transcript.pyannote[2482].speaker |
SPEAKER_14 |
transcript.pyannote[2482].start |
14135.39159375 |
transcript.pyannote[2482].end |
14140.31909375 |
transcript.pyannote[2483].speaker |
SPEAKER_14 |
transcript.pyannote[2483].start |
14140.45409375 |
transcript.pyannote[2483].end |
14150.32596875 |
transcript.pyannote[2484].speaker |
SPEAKER_15 |
transcript.pyannote[2484].start |
14144.90909375 |
transcript.pyannote[2484].end |
14144.92596875 |
transcript.pyannote[2485].speaker |
SPEAKER_01 |
transcript.pyannote[2485].start |
14144.92596875 |
transcript.pyannote[2485].end |
14145.60096875 |
transcript.pyannote[2486].speaker |
SPEAKER_22 |
transcript.pyannote[2486].start |
14150.08971875 |
transcript.pyannote[2486].end |
14150.56221875 |
transcript.pyannote[2487].speaker |
SPEAKER_14 |
transcript.pyannote[2487].start |
14150.35971875 |
transcript.pyannote[2487].end |
14163.52221875 |
transcript.pyannote[2488].speaker |
SPEAKER_20 |
transcript.pyannote[2488].start |
14163.82596875 |
transcript.pyannote[2488].end |
14164.77096875 |
transcript.pyannote[2489].speaker |
SPEAKER_14 |
transcript.pyannote[2489].start |
14164.90596875 |
transcript.pyannote[2489].end |
14166.23909375 |
transcript.pyannote[2490].speaker |
SPEAKER_20 |
transcript.pyannote[2490].start |
14166.35721875 |
transcript.pyannote[2490].end |
14169.41159375 |
transcript.pyannote[2491].speaker |
SPEAKER_14 |
transcript.pyannote[2491].start |
14168.58471875 |
transcript.pyannote[2491].end |
14168.92221875 |
transcript.pyannote[2492].speaker |
SPEAKER_14 |
transcript.pyannote[2492].start |
14169.41159375 |
transcript.pyannote[2492].end |
14190.87659375 |
transcript.pyannote[2493].speaker |
SPEAKER_22 |
transcript.pyannote[2493].start |
14190.87659375 |
transcript.pyannote[2493].end |
14191.21409375 |
transcript.pyannote[2494].speaker |
SPEAKER_14 |
transcript.pyannote[2494].start |
14191.11284375 |
transcript.pyannote[2494].end |
14198.79096875 |
transcript.pyannote[2495].speaker |
SPEAKER_06 |
transcript.pyannote[2495].start |
14199.76971875 |
transcript.pyannote[2495].end |
14206.68846875 |
transcript.pyannote[2496].speaker |
SPEAKER_02 |
transcript.pyannote[2496].start |
14221.94346875 |
transcript.pyannote[2496].end |
14225.13284375 |
transcript.pyannote[2497].speaker |
SPEAKER_06 |
transcript.pyannote[2497].start |
14225.50409375 |
transcript.pyannote[2497].end |
14225.52096875 |
transcript.pyannote[2498].speaker |
SPEAKER_02 |
transcript.pyannote[2498].start |
14225.52096875 |
transcript.pyannote[2498].end |
14227.02284375 |
transcript.pyannote[2499].speaker |
SPEAKER_06 |
transcript.pyannote[2499].start |
14227.02284375 |
transcript.pyannote[2499].end |
14227.84971875 |
transcript.pyannote[2500].speaker |
SPEAKER_20 |
transcript.pyannote[2500].start |
14230.71846875 |
transcript.pyannote[2500].end |
14231.34284375 |
transcript.pyannote[2501].speaker |
SPEAKER_22 |
transcript.pyannote[2501].start |
14232.22034375 |
transcript.pyannote[2501].end |
14232.32159375 |
transcript.pyannote[2502].speaker |
SPEAKER_02 |
transcript.pyannote[2502].start |
14232.32159375 |
transcript.pyannote[2502].end |
14232.37221875 |
transcript.pyannote[2503].speaker |
SPEAKER_02 |
transcript.pyannote[2503].start |
14234.14409375 |
transcript.pyannote[2503].end |
14259.52409375 |
transcript.pyannote[2504].speaker |
SPEAKER_02 |
transcript.pyannote[2504].start |
14259.84471875 |
transcript.pyannote[2504].end |
14267.60721875 |
transcript.pyannote[2505].speaker |
SPEAKER_02 |
transcript.pyannote[2505].start |
14267.91096875 |
transcript.pyannote[2505].end |
14277.31034375 |
transcript.pyannote[2506].speaker |
SPEAKER_02 |
transcript.pyannote[2506].start |
14277.78284375 |
transcript.pyannote[2506].end |
14284.90409375 |
transcript.pyannote[2507].speaker |
SPEAKER_02 |
transcript.pyannote[2507].start |
14285.59596875 |
transcript.pyannote[2507].end |
14286.99659375 |
transcript.pyannote[2508].speaker |
SPEAKER_02 |
transcript.pyannote[2508].start |
14287.41846875 |
transcript.pyannote[2508].end |
14302.40346875 |
transcript.pyannote[2509].speaker |
SPEAKER_20 |
transcript.pyannote[2509].start |
14304.17534375 |
transcript.pyannote[2509].end |
14309.60909375 |
transcript.pyannote[2510].speaker |
SPEAKER_20 |
transcript.pyannote[2510].start |
14309.98034375 |
transcript.pyannote[2510].end |
14311.93784375 |
transcript.pyannote[2511].speaker |
SPEAKER_02 |
transcript.pyannote[2511].start |
14312.95034375 |
transcript.pyannote[2511].end |
14313.22034375 |
transcript.pyannote[2512].speaker |
SPEAKER_02 |
transcript.pyannote[2512].start |
14313.47346875 |
transcript.pyannote[2512].end |
14317.72596875 |
transcript.pyannote[2513].speaker |
SPEAKER_02 |
transcript.pyannote[2513].start |
14317.97909375 |
transcript.pyannote[2513].end |
14320.07159375 |
transcript.pyannote[2514].speaker |
SPEAKER_02 |
transcript.pyannote[2514].start |
14320.18971875 |
transcript.pyannote[2514].end |
14324.96534375 |
transcript.pyannote[2515].speaker |
SPEAKER_20 |
transcript.pyannote[2515].start |
14324.96534375 |
transcript.pyannote[2515].end |
14326.46721875 |
transcript.pyannote[2516].speaker |
SPEAKER_02 |
transcript.pyannote[2516].start |
14326.46721875 |
transcript.pyannote[2516].end |
14337.55409375 |
transcript.pyannote[2517].speaker |
SPEAKER_20 |
transcript.pyannote[2517].start |
14326.50096875 |
transcript.pyannote[2517].end |
14326.55159375 |
transcript.pyannote[2518].speaker |
SPEAKER_20 |
transcript.pyannote[2518].start |
14333.33534375 |
transcript.pyannote[2518].end |
14333.36909375 |
transcript.pyannote[2519].speaker |
SPEAKER_27 |
transcript.pyannote[2519].start |
14333.36909375 |
transcript.pyannote[2519].end |
14333.38596875 |
transcript.pyannote[2520].speaker |
SPEAKER_20 |
transcript.pyannote[2520].start |
14333.38596875 |
transcript.pyannote[2520].end |
14334.19596875 |
transcript.pyannote[2521].speaker |
SPEAKER_27 |
transcript.pyannote[2521].start |
14334.19596875 |
transcript.pyannote[2521].end |
14334.28034375 |
transcript.pyannote[2522].speaker |
SPEAKER_20 |
transcript.pyannote[2522].start |
14334.28034375 |
transcript.pyannote[2522].end |
14334.58409375 |
transcript.pyannote[2523].speaker |
SPEAKER_27 |
transcript.pyannote[2523].start |
14334.58409375 |
transcript.pyannote[2523].end |
14335.02284375 |
transcript.pyannote[2524].speaker |
SPEAKER_20 |
transcript.pyannote[2524].start |
14335.02284375 |
transcript.pyannote[2524].end |
14335.41096875 |
transcript.pyannote[2525].speaker |
SPEAKER_27 |
transcript.pyannote[2525].start |
14335.41096875 |
transcript.pyannote[2525].end |
14335.74846875 |
transcript.pyannote[2526].speaker |
SPEAKER_20 |
transcript.pyannote[2526].start |
14335.74846875 |
transcript.pyannote[2526].end |
14335.96784375 |
transcript.pyannote[2527].speaker |
SPEAKER_27 |
transcript.pyannote[2527].start |
14335.96784375 |
transcript.pyannote[2527].end |
14338.19534375 |
transcript.pyannote[2528].speaker |
SPEAKER_02 |
transcript.pyannote[2528].start |
14337.97596875 |
transcript.pyannote[2528].end |
14345.41784375 |
transcript.pyannote[2529].speaker |
SPEAKER_02 |
transcript.pyannote[2529].start |
14345.85659375 |
transcript.pyannote[2529].end |
14352.60659375 |
transcript.pyannote[2530].speaker |
SPEAKER_22 |
transcript.pyannote[2530].start |
14352.60659375 |
transcript.pyannote[2530].end |
14352.97784375 |
transcript.pyannote[2531].speaker |
SPEAKER_02 |
transcript.pyannote[2531].start |
14353.26471875 |
transcript.pyannote[2531].end |
14370.62909375 |
transcript.pyannote[2532].speaker |
SPEAKER_02 |
transcript.pyannote[2532].start |
14371.20284375 |
transcript.pyannote[2532].end |
14391.60471875 |
transcript.pyannote[2533].speaker |
SPEAKER_02 |
transcript.pyannote[2533].start |
14392.14471875 |
transcript.pyannote[2533].end |
14393.44409375 |
transcript.pyannote[2534].speaker |
SPEAKER_02 |
transcript.pyannote[2534].start |
14393.78159375 |
transcript.pyannote[2534].end |
14395.23284375 |
transcript.pyannote[2535].speaker |
SPEAKER_20 |
transcript.pyannote[2535].start |
14395.92471875 |
transcript.pyannote[2535].end |
14398.48971875 |
transcript.pyannote[2536].speaker |
SPEAKER_02 |
transcript.pyannote[2536].start |
14398.16909375 |
transcript.pyannote[2536].end |
14405.37471875 |
transcript.pyannote[2537].speaker |
SPEAKER_20 |
transcript.pyannote[2537].start |
14402.47221875 |
transcript.pyannote[2537].end |
14403.02909375 |
transcript.pyannote[2538].speaker |
SPEAKER_20 |
transcript.pyannote[2538].start |
14403.73784375 |
transcript.pyannote[2538].end |
14413.13721875 |
transcript.pyannote[2539].speaker |
SPEAKER_20 |
transcript.pyannote[2539].start |
14413.28909375 |
transcript.pyannote[2539].end |
14427.73409375 |
transcript.pyannote[2540].speaker |
SPEAKER_02 |
transcript.pyannote[2540].start |
14426.28284375 |
transcript.pyannote[2540].end |
14432.40846875 |
transcript.pyannote[2541].speaker |
SPEAKER_02 |
transcript.pyannote[2541].start |
14432.72909375 |
transcript.pyannote[2541].end |
14446.11096875 |
transcript.pyannote[2542].speaker |
SPEAKER_02 |
transcript.pyannote[2542].start |
14446.71846875 |
transcript.pyannote[2542].end |
14472.90846875 |
transcript.pyannote[2543].speaker |
SPEAKER_00 |
transcript.pyannote[2543].start |
14446.76909375 |
transcript.pyannote[2543].end |
14449.24971875 |
transcript.pyannote[2544].speaker |
SPEAKER_00 |
transcript.pyannote[2544].start |
14450.31284375 |
transcript.pyannote[2544].end |
14450.85284375 |
transcript.pyannote[2545].speaker |
SPEAKER_22 |
transcript.pyannote[2545].start |
14465.51721875 |
transcript.pyannote[2545].end |
14465.70284375 |
transcript.pyannote[2546].speaker |
SPEAKER_20 |
transcript.pyannote[2546].start |
14472.01409375 |
transcript.pyannote[2546].end |
14479.77659375 |
transcript.pyannote[2547].speaker |
SPEAKER_02 |
transcript.pyannote[2547].start |
14478.86534375 |
transcript.pyannote[2547].end |
14482.40909375 |
transcript.pyannote[2548].speaker |
SPEAKER_20 |
transcript.pyannote[2548].start |
14480.19846875 |
transcript.pyannote[2548].end |
14481.22784375 |
transcript.pyannote[2549].speaker |
SPEAKER_20 |
transcript.pyannote[2549].start |
14482.79721875 |
transcript.pyannote[2549].end |
14482.88159375 |
transcript.pyannote[2550].speaker |
SPEAKER_02 |
transcript.pyannote[2550].start |
14482.88159375 |
transcript.pyannote[2550].end |
14482.91534375 |
transcript.pyannote[2551].speaker |
SPEAKER_20 |
transcript.pyannote[2551].start |
14482.91534375 |
transcript.pyannote[2551].end |
14482.99971875 |
transcript.pyannote[2552].speaker |
SPEAKER_02 |
transcript.pyannote[2552].start |
14483.47221875 |
transcript.pyannote[2552].end |
14483.91096875 |
transcript.pyannote[2553].speaker |
SPEAKER_02 |
transcript.pyannote[2553].start |
14484.70409375 |
transcript.pyannote[2553].end |
14485.59846875 |
transcript.pyannote[2554].speaker |
SPEAKER_02 |
transcript.pyannote[2554].start |
14486.18909375 |
transcript.pyannote[2554].end |
14487.57284375 |
transcript.pyannote[2555].speaker |
SPEAKER_02 |
transcript.pyannote[2555].start |
14487.84284375 |
transcript.pyannote[2555].end |
14493.19221875 |
transcript.pyannote[2556].speaker |
SPEAKER_20 |
transcript.pyannote[2556].start |
14493.19221875 |
transcript.pyannote[2556].end |
14495.72346875 |
transcript.pyannote[2557].speaker |
SPEAKER_02 |
transcript.pyannote[2557].start |
14495.33534375 |
transcript.pyannote[2557].end |
14495.70659375 |
transcript.pyannote[2558].speaker |
SPEAKER_02 |
transcript.pyannote[2558].start |
14495.72346875 |
transcript.pyannote[2558].end |
14495.74034375 |
transcript.pyannote[2559].speaker |
SPEAKER_20 |
transcript.pyannote[2559].start |
14495.74034375 |
transcript.pyannote[2559].end |
14495.75721875 |
transcript.pyannote[2560].speaker |
SPEAKER_02 |
transcript.pyannote[2560].start |
14495.75721875 |
transcript.pyannote[2560].end |
14496.01034375 |
transcript.pyannote[2561].speaker |
SPEAKER_02 |
transcript.pyannote[2561].start |
14496.26346875 |
transcript.pyannote[2561].end |
14500.78596875 |
transcript.pyannote[2562].speaker |
SPEAKER_20 |
transcript.pyannote[2562].start |
14501.27534375 |
transcript.pyannote[2562].end |
14506.81034375 |
transcript.pyannote[2563].speaker |
SPEAKER_02 |
transcript.pyannote[2563].start |
14506.81034375 |
transcript.pyannote[2563].end |
14516.59784375 |
transcript.pyannote[2564].speaker |
SPEAKER_27 |
transcript.pyannote[2564].start |
14516.59784375 |
transcript.pyannote[2564].end |
14516.76659375 |
transcript.pyannote[2565].speaker |
SPEAKER_02 |
transcript.pyannote[2565].start |
14516.76659375 |
transcript.pyannote[2565].end |
14523.60096875 |
transcript.pyannote[2566].speaker |
SPEAKER_27 |
transcript.pyannote[2566].start |
14516.83409375 |
transcript.pyannote[2566].end |
14516.96909375 |
transcript.pyannote[2567].speaker |
SPEAKER_22 |
transcript.pyannote[2567].start |
14516.96909375 |
transcript.pyannote[2567].end |
14517.12096875 |
transcript.pyannote[2568].speaker |
SPEAKER_27 |
transcript.pyannote[2568].start |
14518.30221875 |
transcript.pyannote[2568].end |
14518.65659375 |
transcript.pyannote[2569].speaker |
SPEAKER_02 |
transcript.pyannote[2569].start |
14523.97221875 |
transcript.pyannote[2569].end |
14528.39346875 |
transcript.pyannote[2570].speaker |
SPEAKER_02 |
transcript.pyannote[2570].start |
14528.51159375 |
transcript.pyannote[2570].end |
14538.92346875 |
transcript.pyannote[2571].speaker |
SPEAKER_27 |
transcript.pyannote[2571].start |
14530.65471875 |
transcript.pyannote[2571].end |
14531.24534375 |
transcript.pyannote[2572].speaker |
SPEAKER_07 |
transcript.pyannote[2572].start |
14531.24534375 |
transcript.pyannote[2572].end |
14531.26221875 |
transcript.pyannote[2573].speaker |
SPEAKER_20 |
transcript.pyannote[2573].start |
14539.07534375 |
transcript.pyannote[2573].end |
14550.90471875 |
transcript.pyannote[2574].speaker |
SPEAKER_02 |
transcript.pyannote[2574].start |
14548.00221875 |
transcript.pyannote[2574].end |
14566.98659375 |
transcript.pyannote[2575].speaker |
SPEAKER_02 |
transcript.pyannote[2575].start |
14567.22284375 |
transcript.pyannote[2575].end |
14567.56034375 |
transcript.pyannote[2576].speaker |
SPEAKER_20 |
transcript.pyannote[2576].start |
14567.56034375 |
transcript.pyannote[2576].end |
14567.74596875 |
transcript.pyannote[2577].speaker |
SPEAKER_02 |
transcript.pyannote[2577].start |
14567.74596875 |
transcript.pyannote[2577].end |
14568.03284375 |
transcript.pyannote[2578].speaker |
SPEAKER_06 |
transcript.pyannote[2578].start |
14568.03284375 |
transcript.pyannote[2578].end |
14568.74159375 |
transcript.pyannote[2579].speaker |
SPEAKER_02 |
transcript.pyannote[2579].start |
14568.74159375 |
transcript.pyannote[2579].end |
14569.92284375 |
transcript.pyannote[2580].speaker |
SPEAKER_06 |
transcript.pyannote[2580].start |
14570.34471875 |
transcript.pyannote[2580].end |
14573.14596875 |
transcript.pyannote[2581].speaker |
SPEAKER_06 |
transcript.pyannote[2581].start |
14573.46659375 |
transcript.pyannote[2581].end |
14576.23409375 |
transcript.pyannote[2582].speaker |
SPEAKER_19 |
transcript.pyannote[2582].start |
14583.45659375 |
transcript.pyannote[2582].end |
14584.35096875 |
transcript.pyannote[2583].speaker |
SPEAKER_19 |
transcript.pyannote[2583].start |
14584.67159375 |
transcript.pyannote[2583].end |
14585.29596875 |
transcript.pyannote[2584].speaker |
SPEAKER_06 |
transcript.pyannote[2584].start |
14586.52784375 |
transcript.pyannote[2584].end |
14587.48971875 |
transcript.pyannote[2585].speaker |
SPEAKER_19 |
transcript.pyannote[2585].start |
14587.84409375 |
transcript.pyannote[2585].end |
14589.86909375 |
transcript.pyannote[2586].speaker |
SPEAKER_19 |
transcript.pyannote[2586].start |
14590.34159375 |
transcript.pyannote[2586].end |
14591.42159375 |
transcript.pyannote[2587].speaker |
SPEAKER_06 |
transcript.pyannote[2587].start |
14591.80971875 |
transcript.pyannote[2587].end |
14592.68721875 |
transcript.pyannote[2588].speaker |
SPEAKER_19 |
transcript.pyannote[2588].start |
14592.53534375 |
transcript.pyannote[2588].end |
14592.60284375 |
transcript.pyannote[2589].speaker |
SPEAKER_19 |
transcript.pyannote[2589].start |
14592.68721875 |
transcript.pyannote[2589].end |
14592.70409375 |
transcript.pyannote[2590].speaker |
SPEAKER_06 |
transcript.pyannote[2590].start |
14592.70409375 |
transcript.pyannote[2590].end |
14592.78846875 |
transcript.pyannote[2591].speaker |
SPEAKER_19 |
transcript.pyannote[2591].start |
14592.78846875 |
transcript.pyannote[2591].end |
14593.02471875 |
transcript.pyannote[2592].speaker |
SPEAKER_06 |
transcript.pyannote[2592].start |
14593.02471875 |
transcript.pyannote[2592].end |
14593.17659375 |
transcript.pyannote[2593].speaker |
SPEAKER_19 |
transcript.pyannote[2593].start |
14594.00346875 |
transcript.pyannote[2593].end |
14594.45909375 |
transcript.pyannote[2594].speaker |
SPEAKER_19 |
transcript.pyannote[2594].start |
14595.97784375 |
transcript.pyannote[2594].end |
14600.33159375 |
transcript.pyannote[2595].speaker |
SPEAKER_19 |
transcript.pyannote[2595].start |
14601.25971875 |
transcript.pyannote[2595].end |
14603.40284375 |
transcript.pyannote[2596].speaker |
SPEAKER_19 |
transcript.pyannote[2596].start |
14604.14534375 |
transcript.pyannote[2596].end |
14604.38159375 |
transcript.pyannote[2597].speaker |
SPEAKER_19 |
transcript.pyannote[2597].start |
14604.98909375 |
transcript.pyannote[2597].end |
14605.36034375 |
transcript.pyannote[2598].speaker |
SPEAKER_19 |
transcript.pyannote[2598].start |
14605.74846875 |
transcript.pyannote[2598].end |
14606.25471875 |
transcript.pyannote[2599].speaker |
SPEAKER_19 |
transcript.pyannote[2599].start |
14606.49096875 |
transcript.pyannote[2599].end |
14611.03034375 |
transcript.pyannote[2600].speaker |
SPEAKER_19 |
transcript.pyannote[2600].start |
14611.53659375 |
transcript.pyannote[2600].end |
14612.92034375 |
transcript.pyannote[2601].speaker |
SPEAKER_19 |
transcript.pyannote[2601].start |
14613.34221875 |
transcript.pyannote[2601].end |
14615.63721875 |
transcript.pyannote[2602].speaker |
SPEAKER_19 |
transcript.pyannote[2602].start |
14616.09284375 |
transcript.pyannote[2602].end |
14616.86909375 |
transcript.pyannote[2603].speaker |
SPEAKER_19 |
transcript.pyannote[2603].start |
14617.13909375 |
transcript.pyannote[2603].end |
14618.59034375 |
transcript.pyannote[2604].speaker |
SPEAKER_19 |
transcript.pyannote[2604].start |
14619.14721875 |
transcript.pyannote[2604].end |
14620.37909375 |
transcript.pyannote[2605].speaker |
SPEAKER_19 |
transcript.pyannote[2605].start |
14620.66596875 |
transcript.pyannote[2605].end |
14624.29409375 |
transcript.pyannote[2606].speaker |
SPEAKER_19 |
transcript.pyannote[2606].start |
14626.25159375 |
transcript.pyannote[2606].end |
14627.09534375 |
transcript.pyannote[2607].speaker |
SPEAKER_19 |
transcript.pyannote[2607].start |
14627.48346875 |
transcript.pyannote[2607].end |
14628.24284375 |
transcript.pyannote[2608].speaker |
SPEAKER_19 |
transcript.pyannote[2608].start |
14629.42409375 |
transcript.pyannote[2608].end |
14630.47034375 |
transcript.pyannote[2609].speaker |
SPEAKER_19 |
transcript.pyannote[2609].start |
14631.17909375 |
transcript.pyannote[2609].end |
14632.00596875 |
transcript.pyannote[2610].speaker |
SPEAKER_19 |
transcript.pyannote[2610].start |
14633.13659375 |
transcript.pyannote[2610].end |
14634.82409375 |
transcript.pyannote[2611].speaker |
SPEAKER_19 |
transcript.pyannote[2611].start |
14635.71846875 |
transcript.pyannote[2611].end |
14636.64659375 |
transcript.pyannote[2612].speaker |
SPEAKER_19 |
transcript.pyannote[2612].start |
14637.06846875 |
transcript.pyannote[2612].end |
14642.35034375 |
transcript.pyannote[2613].speaker |
SPEAKER_19 |
transcript.pyannote[2613].start |
14642.85659375 |
transcript.pyannote[2613].end |
14643.10971875 |
transcript.pyannote[2614].speaker |
SPEAKER_19 |
transcript.pyannote[2614].start |
14644.25721875 |
transcript.pyannote[2614].end |
14645.10096875 |
transcript.pyannote[2615].speaker |
SPEAKER_19 |
transcript.pyannote[2615].start |
14645.60721875 |
transcript.pyannote[2615].end |
14648.30721875 |
transcript.pyannote[2616].speaker |
SPEAKER_19 |
transcript.pyannote[2616].start |
14649.13409375 |
transcript.pyannote[2616].end |
14650.66971875 |
transcript.pyannote[2617].speaker |
SPEAKER_19 |
transcript.pyannote[2617].start |
14651.26034375 |
transcript.pyannote[2617].end |
14651.81721875 |
transcript.pyannote[2618].speaker |
SPEAKER_19 |
transcript.pyannote[2618].start |
14652.47534375 |
transcript.pyannote[2618].end |
14653.01534375 |
transcript.pyannote[2619].speaker |
SPEAKER_19 |
transcript.pyannote[2619].start |
14653.48784375 |
transcript.pyannote[2619].end |
14654.24721875 |
transcript.pyannote[2620].speaker |
SPEAKER_19 |
transcript.pyannote[2620].start |
14655.25971875 |
transcript.pyannote[2620].end |
14655.93471875 |
transcript.pyannote[2621].speaker |
SPEAKER_21 |
transcript.pyannote[2621].start |
14656.45784375 |
transcript.pyannote[2621].end |
14656.77846875 |
transcript.pyannote[2622].speaker |
SPEAKER_19 |
transcript.pyannote[2622].start |
14656.77846875 |
transcript.pyannote[2622].end |
14656.87971875 |
transcript.pyannote[2623].speaker |
SPEAKER_21 |
transcript.pyannote[2623].start |
14656.87971875 |
transcript.pyannote[2623].end |
14656.89659375 |
transcript.pyannote[2624].speaker |
SPEAKER_19 |
transcript.pyannote[2624].start |
14657.08221875 |
transcript.pyannote[2624].end |
14657.13284375 |
transcript.pyannote[2625].speaker |
SPEAKER_21 |
transcript.pyannote[2625].start |
14657.13284375 |
transcript.pyannote[2625].end |
14657.43659375 |
transcript.pyannote[2626].speaker |
SPEAKER_19 |
transcript.pyannote[2626].start |
14657.43659375 |
transcript.pyannote[2626].end |
14657.74034375 |
transcript.pyannote[2627].speaker |
SPEAKER_19 |
transcript.pyannote[2627].start |
14658.11159375 |
transcript.pyannote[2627].end |
14660.49096875 |
transcript.pyannote[2628].speaker |
SPEAKER_19 |
transcript.pyannote[2628].start |
14660.54159375 |
transcript.pyannote[2628].end |
14660.55846875 |
transcript.pyannote[2629].speaker |
SPEAKER_20 |
transcript.pyannote[2629].start |
14660.57534375 |
transcript.pyannote[2629].end |
14660.59221875 |
transcript.pyannote[2630].speaker |
SPEAKER_21 |
transcript.pyannote[2630].start |
14660.59221875 |
transcript.pyannote[2630].end |
14660.76096875 |
transcript.pyannote[2631].speaker |
SPEAKER_20 |
transcript.pyannote[2631].start |
14660.76096875 |
transcript.pyannote[2631].end |
14660.79471875 |
transcript.pyannote[2632].speaker |
SPEAKER_19 |
transcript.pyannote[2632].start |
14661.03096875 |
transcript.pyannote[2632].end |
14663.41034375 |
transcript.pyannote[2633].speaker |
SPEAKER_19 |
transcript.pyannote[2633].start |
14664.22034375 |
transcript.pyannote[2633].end |
14667.71346875 |
transcript.pyannote[2634].speaker |
SPEAKER_19 |
transcript.pyannote[2634].start |
14668.64159375 |
transcript.pyannote[2634].end |
14669.24909375 |
transcript.pyannote[2635].speaker |
SPEAKER_19 |
transcript.pyannote[2635].start |
14670.07596875 |
transcript.pyannote[2635].end |
14671.05471875 |
transcript.pyannote[2636].speaker |
SPEAKER_19 |
transcript.pyannote[2636].start |
14671.62846875 |
transcript.pyannote[2636].end |
14672.13471875 |
transcript.pyannote[2637].speaker |
SPEAKER_19 |
transcript.pyannote[2637].start |
14673.55221875 |
transcript.pyannote[2637].end |
14674.05846875 |
transcript.pyannote[2638].speaker |
SPEAKER_20 |
transcript.pyannote[2638].start |
14674.34534375 |
transcript.pyannote[2638].end |
14674.46346875 |
transcript.pyannote[2639].speaker |
SPEAKER_19 |
transcript.pyannote[2639].start |
14675.00346875 |
transcript.pyannote[2639].end |
14675.49284375 |
transcript.pyannote[2640].speaker |
SPEAKER_19 |
transcript.pyannote[2640].start |
14677.46721875 |
transcript.pyannote[2640].end |
14677.63596875 |
transcript.pyannote[2641].speaker |
SPEAKER_20 |
transcript.pyannote[2641].start |
14677.63596875 |
transcript.pyannote[2641].end |
14677.80471875 |
transcript.pyannote[2642].speaker |
SPEAKER_19 |
transcript.pyannote[2642].start |
14677.80471875 |
transcript.pyannote[2642].end |
14677.82159375 |
transcript.pyannote[2643].speaker |
SPEAKER_20 |
transcript.pyannote[2643].start |
14677.82159375 |
transcript.pyannote[2643].end |
14677.85534375 |
transcript.pyannote[2644].speaker |
SPEAKER_19 |
transcript.pyannote[2644].start |
14677.85534375 |
transcript.pyannote[2644].end |
14679.86346875 |
transcript.pyannote[2645].speaker |
SPEAKER_20 |
transcript.pyannote[2645].start |
14678.10846875 |
transcript.pyannote[2645].end |
14678.26034375 |
transcript.pyannote[2646].speaker |
SPEAKER_20 |
transcript.pyannote[2646].start |
14680.23471875 |
transcript.pyannote[2646].end |
14686.73159375 |
transcript.pyannote[2647].speaker |
SPEAKER_19 |
transcript.pyannote[2647].start |
14686.64721875 |
transcript.pyannote[2647].end |
14689.70159375 |
transcript.pyannote[2648].speaker |
SPEAKER_19 |
transcript.pyannote[2648].start |
14690.25846875 |
transcript.pyannote[2648].end |
14691.69284375 |
transcript.pyannote[2649].speaker |
SPEAKER_19 |
transcript.pyannote[2649].start |
14691.94596875 |
transcript.pyannote[2649].end |
14699.43846875 |
transcript.pyannote[2650].speaker |
SPEAKER_19 |
transcript.pyannote[2650].start |
14700.23159375 |
transcript.pyannote[2650].end |
14702.94846875 |
transcript.pyannote[2651].speaker |
SPEAKER_19 |
transcript.pyannote[2651].start |
14703.42096875 |
transcript.pyannote[2651].end |
14703.67409375 |
transcript.pyannote[2652].speaker |
SPEAKER_19 |
transcript.pyannote[2652].start |
14704.21409375 |
transcript.pyannote[2652].end |
14705.81721875 |
transcript.pyannote[2653].speaker |
SPEAKER_19 |
transcript.pyannote[2653].start |
14706.59346875 |
transcript.pyannote[2653].end |
14708.60159375 |
transcript.pyannote[2654].speaker |
SPEAKER_19 |
transcript.pyannote[2654].start |
14709.09096875 |
transcript.pyannote[2654].end |
14710.50846875 |
transcript.pyannote[2655].speaker |
SPEAKER_19 |
transcript.pyannote[2655].start |
14711.13284375 |
transcript.pyannote[2655].end |
14712.61784375 |
transcript.pyannote[2656].speaker |
SPEAKER_20 |
transcript.pyannote[2656].start |
14711.38596875 |
transcript.pyannote[2656].end |
14728.04159375 |
transcript.pyannote[2657].speaker |
SPEAKER_00 |
transcript.pyannote[2657].start |
14723.23221875 |
transcript.pyannote[2657].end |
14723.65409375 |
transcript.pyannote[2658].speaker |
SPEAKER_00 |
transcript.pyannote[2658].start |
14724.39659375 |
transcript.pyannote[2658].end |
14724.51471875 |
transcript.pyannote[2659].speaker |
SPEAKER_20 |
transcript.pyannote[2659].start |
14728.37909375 |
transcript.pyannote[2659].end |
14737.96409375 |
transcript.pyannote[2660].speaker |
SPEAKER_19 |
transcript.pyannote[2660].start |
14738.25096875 |
transcript.pyannote[2660].end |
14749.62471875 |
transcript.pyannote[2661].speaker |
SPEAKER_20 |
transcript.pyannote[2661].start |
14749.62471875 |
transcript.pyannote[2661].end |
14758.97346875 |
transcript.pyannote[2662].speaker |
SPEAKER_19 |
transcript.pyannote[2662].start |
14749.82721875 |
transcript.pyannote[2662].end |
14751.14346875 |
transcript.pyannote[2663].speaker |
SPEAKER_20 |
transcript.pyannote[2663].start |
14759.14221875 |
transcript.pyannote[2663].end |
14759.15909375 |
transcript.pyannote[2664].speaker |
SPEAKER_20 |
transcript.pyannote[2664].start |
14759.17596875 |
transcript.pyannote[2664].end |
14761.55534375 |
transcript.pyannote[2665].speaker |
SPEAKER_19 |
transcript.pyannote[2665].start |
14761.55534375 |
transcript.pyannote[2665].end |
14775.71346875 |
transcript.pyannote[2666].speaker |
SPEAKER_20 |
transcript.pyannote[2666].start |
14773.99221875 |
transcript.pyannote[2666].end |
14774.21159375 |
transcript.pyannote[2667].speaker |
SPEAKER_19 |
transcript.pyannote[2667].start |
14775.73034375 |
transcript.pyannote[2667].end |
14775.74721875 |
transcript.pyannote[2668].speaker |
SPEAKER_20 |
transcript.pyannote[2668].start |
14775.76409375 |
transcript.pyannote[2668].end |
14776.13534375 |
transcript.pyannote[2669].speaker |
SPEAKER_19 |
transcript.pyannote[2669].start |
14776.13534375 |
transcript.pyannote[2669].end |
14776.64159375 |
transcript.pyannote[2670].speaker |
SPEAKER_20 |
transcript.pyannote[2670].start |
14776.64159375 |
transcript.pyannote[2670].end |
14776.92846875 |
transcript.pyannote[2671].speaker |
SPEAKER_19 |
transcript.pyannote[2671].start |
14777.38409375 |
transcript.pyannote[2671].end |
14777.87346875 |
transcript.pyannote[2672].speaker |
SPEAKER_20 |
transcript.pyannote[2672].start |
14778.24471875 |
transcript.pyannote[2672].end |
14778.39659375 |
transcript.pyannote[2673].speaker |
SPEAKER_19 |
transcript.pyannote[2673].start |
14778.49784375 |
transcript.pyannote[2673].end |
14779.22346875 |
transcript.pyannote[2674].speaker |
SPEAKER_19 |
transcript.pyannote[2674].start |
14779.67909375 |
transcript.pyannote[2674].end |
14782.58159375 |
transcript.pyannote[2675].speaker |
SPEAKER_19 |
transcript.pyannote[2675].start |
14784.45471875 |
transcript.pyannote[2675].end |
14785.82159375 |
transcript.pyannote[2676].speaker |
SPEAKER_19 |
transcript.pyannote[2676].start |
14786.34471875 |
transcript.pyannote[2676].end |
14790.47909375 |
transcript.pyannote[2677].speaker |
SPEAKER_19 |
transcript.pyannote[2677].start |
14791.00221875 |
transcript.pyannote[2677].end |
14792.38596875 |
transcript.pyannote[2678].speaker |
SPEAKER_19 |
transcript.pyannote[2678].start |
14792.89221875 |
transcript.pyannote[2678].end |
14802.47721875 |
transcript.pyannote[2679].speaker |
SPEAKER_22 |
transcript.pyannote[2679].start |
14800.92471875 |
transcript.pyannote[2679].end |
14801.41409375 |
transcript.pyannote[2680].speaker |
SPEAKER_22 |
transcript.pyannote[2680].start |
14802.56159375 |
transcript.pyannote[2680].end |
14802.96659375 |
transcript.pyannote[2681].speaker |
SPEAKER_19 |
transcript.pyannote[2681].start |
14802.96659375 |
transcript.pyannote[2681].end |
14818.22159375 |
transcript.pyannote[2682].speaker |
SPEAKER_20 |
transcript.pyannote[2682].start |
14818.22159375 |
transcript.pyannote[2682].end |
14818.50846875 |
transcript.pyannote[2683].speaker |
SPEAKER_19 |
transcript.pyannote[2683].start |
14818.50846875 |
transcript.pyannote[2683].end |
14818.54221875 |
transcript.pyannote[2684].speaker |
SPEAKER_19 |
transcript.pyannote[2684].start |
14818.62659375 |
transcript.pyannote[2684].end |
14820.90471875 |
transcript.pyannote[2685].speaker |
SPEAKER_20 |
transcript.pyannote[2685].start |
14818.98096875 |
transcript.pyannote[2685].end |
14819.40284375 |
transcript.pyannote[2686].speaker |
SPEAKER_20 |
transcript.pyannote[2686].start |
14820.16221875 |
transcript.pyannote[2686].end |
14824.34721875 |
transcript.pyannote[2687].speaker |
SPEAKER_20 |
transcript.pyannote[2687].start |
14824.53284375 |
transcript.pyannote[2687].end |
14831.13096875 |
transcript.pyannote[2688].speaker |
SPEAKER_19 |
transcript.pyannote[2688].start |
14830.16909375 |
transcript.pyannote[2688].end |
14833.81409375 |
transcript.pyannote[2689].speaker |
SPEAKER_19 |
transcript.pyannote[2689].start |
14834.47221875 |
transcript.pyannote[2689].end |
14837.27346875 |
transcript.pyannote[2690].speaker |
SPEAKER_19 |
transcript.pyannote[2690].start |
14837.98221875 |
transcript.pyannote[2690].end |
14841.08721875 |
transcript.pyannote[2691].speaker |
SPEAKER_19 |
transcript.pyannote[2691].start |
14842.47096875 |
transcript.pyannote[2691].end |
14844.64784375 |
transcript.pyannote[2692].speaker |
SPEAKER_22 |
transcript.pyannote[2692].start |
14844.96846875 |
transcript.pyannote[2692].end |
14845.20471875 |
transcript.pyannote[2693].speaker |
SPEAKER_19 |
transcript.pyannote[2693].start |
14845.67721875 |
transcript.pyannote[2693].end |
14846.99346875 |
transcript.pyannote[2694].speaker |
SPEAKER_19 |
transcript.pyannote[2694].start |
14847.36471875 |
transcript.pyannote[2694].end |
14847.49971875 |
transcript.pyannote[2695].speaker |
SPEAKER_19 |
transcript.pyannote[2695].start |
14847.63471875 |
transcript.pyannote[2695].end |
14849.49096875 |
transcript.pyannote[2696].speaker |
SPEAKER_19 |
transcript.pyannote[2696].start |
14849.65971875 |
transcript.pyannote[2696].end |
14850.50346875 |
transcript.pyannote[2697].speaker |
SPEAKER_20 |
transcript.pyannote[2697].start |
14851.70159375 |
transcript.pyannote[2697].end |
14852.71409375 |
transcript.pyannote[2698].speaker |
SPEAKER_19 |
transcript.pyannote[2698].start |
14851.88721875 |
transcript.pyannote[2698].end |
14854.09784375 |
transcript.pyannote[2699].speaker |
SPEAKER_20 |
transcript.pyannote[2699].start |
14853.97971875 |
transcript.pyannote[2699].end |
14857.79346875 |
transcript.pyannote[2700].speaker |
SPEAKER_19 |
transcript.pyannote[2700].start |
14855.38034375 |
transcript.pyannote[2700].end |
14855.68409375 |
transcript.pyannote[2701].speaker |
SPEAKER_19 |
transcript.pyannote[2701].start |
14858.28284375 |
transcript.pyannote[2701].end |
14859.86909375 |
transcript.pyannote[2702].speaker |
SPEAKER_19 |
transcript.pyannote[2702].start |
14860.25721875 |
transcript.pyannote[2702].end |
14860.51034375 |
transcript.pyannote[2703].speaker |
SPEAKER_19 |
transcript.pyannote[2703].start |
14860.84784375 |
transcript.pyannote[2703].end |
14861.97846875 |
transcript.pyannote[2704].speaker |
SPEAKER_19 |
transcript.pyannote[2704].start |
14862.85596875 |
transcript.pyannote[2704].end |
14863.29471875 |
transcript.pyannote[2705].speaker |
SPEAKER_19 |
transcript.pyannote[2705].start |
14864.37471875 |
transcript.pyannote[2705].end |
14866.97346875 |
transcript.pyannote[2706].speaker |
SPEAKER_19 |
transcript.pyannote[2706].start |
14867.49659375 |
transcript.pyannote[2706].end |
14869.53846875 |
transcript.pyannote[2707].speaker |
SPEAKER_19 |
transcript.pyannote[2707].start |
14870.93909375 |
transcript.pyannote[2707].end |
14872.05284375 |
transcript.pyannote[2708].speaker |
SPEAKER_19 |
transcript.pyannote[2708].start |
14872.82909375 |
transcript.pyannote[2708].end |
14873.06534375 |
transcript.pyannote[2709].speaker |
SPEAKER_20 |
transcript.pyannote[2709].start |
14873.38596875 |
transcript.pyannote[2709].end |
14878.65096875 |
transcript.pyannote[2710].speaker |
SPEAKER_20 |
transcript.pyannote[2710].start |
14879.32596875 |
transcript.pyannote[2710].end |
14893.39971875 |
transcript.pyannote[2711].speaker |
SPEAKER_20 |
transcript.pyannote[2711].start |
14893.80471875 |
transcript.pyannote[2711].end |
14898.54659375 |
transcript.pyannote[2712].speaker |
SPEAKER_19 |
transcript.pyannote[2712].start |
14897.55096875 |
transcript.pyannote[2712].end |
14905.43159375 |
transcript.pyannote[2713].speaker |
SPEAKER_20 |
transcript.pyannote[2713].start |
14904.09846875 |
transcript.pyannote[2713].end |
14904.53721875 |
transcript.pyannote[2714].speaker |
SPEAKER_20 |
transcript.pyannote[2714].start |
14905.26284375 |
transcript.pyannote[2714].end |
14906.15721875 |
transcript.pyannote[2715].speaker |
SPEAKER_19 |
transcript.pyannote[2715].start |
14905.76909375 |
transcript.pyannote[2715].end |
14909.97096875 |
transcript.pyannote[2716].speaker |
SPEAKER_20 |
transcript.pyannote[2716].start |
14909.41409375 |
transcript.pyannote[2716].end |
14917.66596875 |
transcript.pyannote[2717].speaker |
SPEAKER_19 |
transcript.pyannote[2717].start |
14917.76721875 |
transcript.pyannote[2717].end |
14927.11596875 |
transcript.pyannote[2718].speaker |
SPEAKER_19 |
transcript.pyannote[2718].start |
14927.62221875 |
transcript.pyannote[2718].end |
14929.56284375 |
transcript.pyannote[2719].speaker |
SPEAKER_19 |
transcript.pyannote[2719].start |
14929.79909375 |
transcript.pyannote[2719].end |
14934.18659375 |
transcript.pyannote[2720].speaker |
SPEAKER_19 |
transcript.pyannote[2720].start |
14935.16534375 |
transcript.pyannote[2720].end |
14943.92346875 |
transcript.pyannote[2721].speaker |
SPEAKER_19 |
transcript.pyannote[2721].start |
14944.53096875 |
transcript.pyannote[2721].end |
14945.34096875 |
transcript.pyannote[2722].speaker |
SPEAKER_19 |
transcript.pyannote[2722].start |
14945.71221875 |
transcript.pyannote[2722].end |
14948.39534375 |
transcript.pyannote[2723].speaker |
SPEAKER_19 |
transcript.pyannote[2723].start |
14948.95221875 |
transcript.pyannote[2723].end |
14950.33596875 |
transcript.pyannote[2724].speaker |
SPEAKER_19 |
transcript.pyannote[2724].start |
14950.69034375 |
transcript.pyannote[2724].end |
14951.02784375 |
transcript.pyannote[2725].speaker |
SPEAKER_19 |
transcript.pyannote[2725].start |
14951.98971875 |
transcript.pyannote[2725].end |
14956.98471875 |
transcript.pyannote[2726].speaker |
SPEAKER_19 |
transcript.pyannote[2726].start |
14957.32221875 |
transcript.pyannote[2726].end |
14960.03909375 |
transcript.pyannote[2727].speaker |
SPEAKER_19 |
transcript.pyannote[2727].start |
14960.73096875 |
transcript.pyannote[2727].end |
14963.04284375 |
transcript.pyannote[2728].speaker |
SPEAKER_19 |
transcript.pyannote[2728].start |
14963.59971875 |
transcript.pyannote[2728].end |
14964.59534375 |
transcript.pyannote[2729].speaker |
SPEAKER_19 |
transcript.pyannote[2729].start |
14965.00034375 |
transcript.pyannote[2729].end |
14966.04659375 |
transcript.pyannote[2730].speaker |
SPEAKER_19 |
transcript.pyannote[2730].start |
14966.65409375 |
transcript.pyannote[2730].end |
14968.44284375 |
transcript.pyannote[2731].speaker |
SPEAKER_19 |
transcript.pyannote[2731].start |
14969.21909375 |
transcript.pyannote[2731].end |
14973.91034375 |
transcript.pyannote[2732].speaker |
SPEAKER_19 |
transcript.pyannote[2732].start |
14974.24784375 |
transcript.pyannote[2732].end |
14974.77096875 |
transcript.pyannote[2733].speaker |
SPEAKER_19 |
transcript.pyannote[2733].start |
14975.17596875 |
transcript.pyannote[2733].end |
14976.37409375 |
transcript.pyannote[2734].speaker |
SPEAKER_19 |
transcript.pyannote[2734].start |
14976.86346875 |
transcript.pyannote[2734].end |
14977.62284375 |
transcript.pyannote[2735].speaker |
SPEAKER_19 |
transcript.pyannote[2735].start |
14977.96034375 |
transcript.pyannote[2735].end |
14978.85471875 |
transcript.pyannote[2736].speaker |
SPEAKER_19 |
transcript.pyannote[2736].start |
14978.93909375 |
transcript.pyannote[2736].end |
14981.77409375 |
transcript.pyannote[2737].speaker |
SPEAKER_19 |
transcript.pyannote[2737].start |
14982.07784375 |
transcript.pyannote[2737].end |
14983.22534375 |
transcript.pyannote[2738].speaker |
SPEAKER_19 |
transcript.pyannote[2738].start |
14983.37721875 |
transcript.pyannote[2738].end |
14984.03534375 |
transcript.pyannote[2739].speaker |
SPEAKER_19 |
transcript.pyannote[2739].start |
14984.42346875 |
transcript.pyannote[2739].end |
14988.11909375 |
transcript.pyannote[2740].speaker |
SPEAKER_20 |
transcript.pyannote[2740].start |
14989.01346875 |
transcript.pyannote[2740].end |
14992.20284375 |
transcript.pyannote[2741].speaker |
SPEAKER_19 |
transcript.pyannote[2741].start |
14989.77284375 |
transcript.pyannote[2741].end |
14991.66284375 |
transcript.pyannote[2742].speaker |
SPEAKER_19 |
transcript.pyannote[2742].start |
14992.37159375 |
transcript.pyannote[2742].end |
14997.31596875 |
transcript.pyannote[2743].speaker |
SPEAKER_19 |
transcript.pyannote[2743].start |
14997.63659375 |
transcript.pyannote[2743].end |
15024.51846875 |
transcript.pyannote[2744].speaker |
SPEAKER_22 |
transcript.pyannote[2744].start |
15024.72096875 |
transcript.pyannote[2744].end |
15024.87284375 |
transcript.pyannote[2745].speaker |
SPEAKER_19 |
transcript.pyannote[2745].start |
15024.87284375 |
transcript.pyannote[2745].end |
15028.95659375 |
transcript.pyannote[2746].speaker |
SPEAKER_19 |
transcript.pyannote[2746].start |
15029.78346875 |
transcript.pyannote[2746].end |
15035.33534375 |
transcript.pyannote[2747].speaker |
SPEAKER_19 |
transcript.pyannote[2747].start |
15035.57159375 |
transcript.pyannote[2747].end |
15037.63034375 |
transcript.pyannote[2748].speaker |
SPEAKER_19 |
transcript.pyannote[2748].start |
15038.10284375 |
transcript.pyannote[2748].end |
15039.23346875 |
transcript.pyannote[2749].speaker |
SPEAKER_19 |
transcript.pyannote[2749].start |
15039.90846875 |
transcript.pyannote[2749].end |
15041.07284375 |
transcript.pyannote[2750].speaker |
SPEAKER_19 |
transcript.pyannote[2750].start |
15041.39346875 |
transcript.pyannote[2750].end |
15043.70534375 |
transcript.pyannote[2751].speaker |
SPEAKER_19 |
transcript.pyannote[2751].start |
15043.80659375 |
transcript.pyannote[2751].end |
15044.83596875 |
transcript.pyannote[2752].speaker |
SPEAKER_19 |
transcript.pyannote[2752].start |
15045.64596875 |
transcript.pyannote[2752].end |
15046.23659375 |
transcript.pyannote[2753].speaker |
SPEAKER_19 |
transcript.pyannote[2753].start |
15046.47284375 |
transcript.pyannote[2753].end |
15048.98721875 |
transcript.pyannote[2754].speaker |
SPEAKER_19 |
transcript.pyannote[2754].start |
15049.15596875 |
transcript.pyannote[2754].end |
15050.13471875 |
transcript.pyannote[2755].speaker |
SPEAKER_19 |
transcript.pyannote[2755].start |
15050.62409375 |
transcript.pyannote[2755].end |
15053.52659375 |
transcript.pyannote[2756].speaker |
SPEAKER_19 |
transcript.pyannote[2756].start |
15053.89784375 |
transcript.pyannote[2756].end |
15054.55596875 |
transcript.pyannote[2757].speaker |
SPEAKER_19 |
transcript.pyannote[2757].start |
15054.57284375 |
transcript.pyannote[2757].end |
15059.56784375 |
transcript.pyannote[2758].speaker |
SPEAKER_19 |
transcript.pyannote[2758].start |
15059.90534375 |
transcript.pyannote[2758].end |
15060.93471875 |
transcript.pyannote[2759].speaker |
SPEAKER_19 |
transcript.pyannote[2759].start |
15062.36909375 |
transcript.pyannote[2759].end |
15065.15346875 |
transcript.pyannote[2760].speaker |
SPEAKER_19 |
transcript.pyannote[2760].start |
15065.67659375 |
transcript.pyannote[2760].end |
15067.06034375 |
transcript.pyannote[2761].speaker |
SPEAKER_19 |
transcript.pyannote[2761].start |
15067.41471875 |
transcript.pyannote[2761].end |
15067.70159375 |
transcript.pyannote[2762].speaker |
SPEAKER_19 |
transcript.pyannote[2762].start |
15067.71846875 |
transcript.pyannote[2762].end |
15067.73534375 |
transcript.pyannote[2763].speaker |
SPEAKER_20 |
transcript.pyannote[2763].start |
15067.73534375 |
transcript.pyannote[2763].end |
15067.76909375 |
transcript.pyannote[2764].speaker |
SPEAKER_20 |
transcript.pyannote[2764].start |
15067.78596875 |
transcript.pyannote[2764].end |
15067.85346875 |
transcript.pyannote[2765].speaker |
SPEAKER_19 |
transcript.pyannote[2765].start |
15068.30909375 |
transcript.pyannote[2765].end |
15070.53659375 |
transcript.pyannote[2766].speaker |
SPEAKER_20 |
transcript.pyannote[2766].start |
15070.70534375 |
transcript.pyannote[2766].end |
15070.90784375 |
transcript.pyannote[2767].speaker |
SPEAKER_20 |
transcript.pyannote[2767].start |
15072.13971875 |
transcript.pyannote[2767].end |
15106.02471875 |
transcript.pyannote[2768].speaker |
SPEAKER_20 |
transcript.pyannote[2768].start |
15106.64909375 |
transcript.pyannote[2768].end |
15112.26846875 |
transcript.pyannote[2769].speaker |
SPEAKER_20 |
transcript.pyannote[2769].start |
15112.74096875 |
transcript.pyannote[2769].end |
15122.10659375 |
transcript.pyannote[2770].speaker |
SPEAKER_20 |
transcript.pyannote[2770].start |
15122.22471875 |
transcript.pyannote[2770].end |
15134.49284375 |
transcript.pyannote[2771].speaker |
SPEAKER_19 |
transcript.pyannote[2771].start |
15134.34096875 |
transcript.pyannote[2771].end |
15159.45096875 |
transcript.pyannote[2772].speaker |
SPEAKER_19 |
transcript.pyannote[2772].start |
15159.73784375 |
transcript.pyannote[2772].end |
15170.11596875 |
transcript.pyannote[2773].speaker |
SPEAKER_22 |
transcript.pyannote[2773].start |
15170.11596875 |
transcript.pyannote[2773].end |
15170.40284375 |
transcript.pyannote[2774].speaker |
SPEAKER_19 |
transcript.pyannote[2774].start |
15170.38596875 |
transcript.pyannote[2774].end |
15170.84159375 |
transcript.pyannote[2775].speaker |
SPEAKER_19 |
transcript.pyannote[2775].start |
15171.07784375 |
transcript.pyannote[2775].end |
15177.25409375 |
transcript.pyannote[2776].speaker |
SPEAKER_19 |
transcript.pyannote[2776].start |
15177.60846875 |
transcript.pyannote[2776].end |
15177.86159375 |
transcript.pyannote[2777].speaker |
SPEAKER_19 |
transcript.pyannote[2777].start |
15178.28346875 |
transcript.pyannote[2777].end |
15179.39721875 |
transcript.pyannote[2778].speaker |
SPEAKER_19 |
transcript.pyannote[2778].start |
15179.76846875 |
transcript.pyannote[2778].end |
15180.74721875 |
transcript.pyannote[2779].speaker |
SPEAKER_20 |
transcript.pyannote[2779].start |
15180.96659375 |
transcript.pyannote[2779].end |
15185.06721875 |
transcript.pyannote[2780].speaker |
SPEAKER_19 |
transcript.pyannote[2780].start |
15185.06721875 |
transcript.pyannote[2780].end |
15191.85096875 |
transcript.pyannote[2781].speaker |
SPEAKER_20 |
transcript.pyannote[2781].start |
15187.29471875 |
transcript.pyannote[2781].end |
15189.60659375 |
transcript.pyannote[2782].speaker |
SPEAKER_20 |
transcript.pyannote[2782].start |
15191.86784375 |
transcript.pyannote[2782].end |
15209.78909375 |
transcript.pyannote[2783].speaker |
SPEAKER_19 |
transcript.pyannote[2783].start |
15210.16034375 |
transcript.pyannote[2783].end |
15215.84721875 |
transcript.pyannote[2784].speaker |
SPEAKER_20 |
transcript.pyannote[2784].start |
15214.15971875 |
transcript.pyannote[2784].end |
15216.62346875 |
transcript.pyannote[2785].speaker |
SPEAKER_19 |
transcript.pyannote[2785].start |
15215.96534375 |
transcript.pyannote[2785].end |
15219.17159375 |
transcript.pyannote[2786].speaker |
SPEAKER_20 |
transcript.pyannote[2786].start |
15218.37846875 |
transcript.pyannote[2786].end |
15218.76659375 |
transcript.pyannote[2787].speaker |
SPEAKER_20 |
transcript.pyannote[2787].start |
15219.54284375 |
transcript.pyannote[2787].end |
15219.89721875 |
transcript.pyannote[2788].speaker |
SPEAKER_19 |
transcript.pyannote[2788].start |
15220.45409375 |
transcript.pyannote[2788].end |
15221.55096875 |
transcript.pyannote[2789].speaker |
SPEAKER_19 |
transcript.pyannote[2789].start |
15223.03596875 |
transcript.pyannote[2789].end |
15227.17034375 |
transcript.pyannote[2790].speaker |
SPEAKER_20 |
transcript.pyannote[2790].start |
15226.36034375 |
transcript.pyannote[2790].end |
15232.06409375 |
transcript.pyannote[2791].speaker |
SPEAKER_20 |
transcript.pyannote[2791].start |
15232.21596875 |
transcript.pyannote[2791].end |
15232.33409375 |
transcript.pyannote[2792].speaker |
SPEAKER_19 |
transcript.pyannote[2792].start |
15232.33409375 |
transcript.pyannote[2792].end |
15237.21096875 |
transcript.pyannote[2793].speaker |
SPEAKER_19 |
transcript.pyannote[2793].start |
15237.51471875 |
transcript.pyannote[2793].end |
15239.47221875 |
transcript.pyannote[2794].speaker |
SPEAKER_20 |
transcript.pyannote[2794].start |
15239.67471875 |
transcript.pyannote[2794].end |
15239.79284375 |
transcript.pyannote[2795].speaker |
SPEAKER_19 |
transcript.pyannote[2795].start |
15239.79284375 |
transcript.pyannote[2795].end |
15240.23159375 |
transcript.pyannote[2796].speaker |
SPEAKER_20 |
transcript.pyannote[2796].start |
15240.38346875 |
transcript.pyannote[2796].end |
15245.42909375 |
transcript.pyannote[2797].speaker |
SPEAKER_19 |
transcript.pyannote[2797].start |
15245.71596875 |
transcript.pyannote[2797].end |
15259.35096875 |
transcript.pyannote[2798].speaker |
SPEAKER_20 |
transcript.pyannote[2798].start |
15250.91346875 |
transcript.pyannote[2798].end |
15252.97221875 |
transcript.pyannote[2799].speaker |
SPEAKER_22 |
transcript.pyannote[2799].start |
15252.97221875 |
transcript.pyannote[2799].end |
15254.35596875 |
transcript.pyannote[2800].speaker |
SPEAKER_19 |
transcript.pyannote[2800].start |
15259.57034375 |
transcript.pyannote[2800].end |
15264.10971875 |
transcript.pyannote[2801].speaker |
SPEAKER_22 |
transcript.pyannote[2801].start |
15262.50659375 |
transcript.pyannote[2801].end |
15263.65409375 |
transcript.pyannote[2802].speaker |
SPEAKER_22 |
transcript.pyannote[2802].start |
15264.10971875 |
transcript.pyannote[2802].end |
15264.24471875 |
transcript.pyannote[2803].speaker |
SPEAKER_19 |
transcript.pyannote[2803].start |
15265.32471875 |
transcript.pyannote[2803].end |
15270.55596875 |
transcript.pyannote[2804].speaker |
SPEAKER_19 |
transcript.pyannote[2804].start |
15270.77534375 |
transcript.pyannote[2804].end |
15279.56721875 |
transcript.pyannote[2805].speaker |
SPEAKER_19 |
transcript.pyannote[2805].start |
15280.03971875 |
transcript.pyannote[2805].end |
15280.56284375 |
transcript.pyannote[2806].speaker |
SPEAKER_19 |
transcript.pyannote[2806].start |
15280.88346875 |
transcript.pyannote[2806].end |
15283.58346875 |
transcript.pyannote[2807].speaker |
SPEAKER_20 |
transcript.pyannote[2807].start |
15284.34284375 |
transcript.pyannote[2807].end |
15285.06846875 |
transcript.pyannote[2808].speaker |
SPEAKER_19 |
transcript.pyannote[2808].start |
15284.56221875 |
transcript.pyannote[2808].end |
15286.11471875 |
transcript.pyannote[2809].speaker |
SPEAKER_20 |
transcript.pyannote[2809].start |
15285.49034375 |
transcript.pyannote[2809].end |
15290.85659375 |
transcript.pyannote[2810].speaker |
SPEAKER_19 |
transcript.pyannote[2810].start |
15286.84034375 |
transcript.pyannote[2810].end |
15287.27909375 |
transcript.pyannote[2811].speaker |
SPEAKER_20 |
transcript.pyannote[2811].start |
15291.02534375 |
transcript.pyannote[2811].end |
15291.09284375 |
transcript.pyannote[2812].speaker |
SPEAKER_22 |
transcript.pyannote[2812].start |
15291.09284375 |
transcript.pyannote[2812].end |
15291.34596875 |
transcript.pyannote[2813].speaker |
SPEAKER_20 |
transcript.pyannote[2813].start |
15291.53159375 |
transcript.pyannote[2813].end |
15293.80971875 |
transcript.pyannote[2814].speaker |
SPEAKER_22 |
transcript.pyannote[2814].start |
15291.56534375 |
transcript.pyannote[2814].end |
15291.78471875 |
transcript.pyannote[2815].speaker |
SPEAKER_20 |
transcript.pyannote[2815].start |
15294.04596875 |
transcript.pyannote[2815].end |
15295.19346875 |
transcript.pyannote[2816].speaker |
SPEAKER_20 |
transcript.pyannote[2816].start |
15295.56471875 |
transcript.pyannote[2816].end |
15298.78784375 |
transcript.pyannote[2817].speaker |
SPEAKER_19 |
transcript.pyannote[2817].start |
15299.54721875 |
transcript.pyannote[2817].end |
15309.48659375 |
transcript.pyannote[2818].speaker |
SPEAKER_20 |
transcript.pyannote[2818].start |
15309.97596875 |
transcript.pyannote[2818].end |
15312.99659375 |
transcript.pyannote[2819].speaker |
SPEAKER_20 |
transcript.pyannote[2819].start |
15313.35096875 |
transcript.pyannote[2819].end |
15316.45596875 |
transcript.pyannote[2820].speaker |
SPEAKER_19 |
transcript.pyannote[2820].start |
15316.03409375 |
transcript.pyannote[2820].end |
15316.35471875 |
transcript.pyannote[2821].speaker |
SPEAKER_22 |
transcript.pyannote[2821].start |
15316.45596875 |
transcript.pyannote[2821].end |
15316.47284375 |
transcript.pyannote[2822].speaker |
SPEAKER_20 |
transcript.pyannote[2822].start |
15316.69221875 |
transcript.pyannote[2822].end |
15326.29409375 |
transcript.pyannote[2823].speaker |
SPEAKER_20 |
transcript.pyannote[2823].start |
15326.73284375 |
transcript.pyannote[2823].end |
15329.04471875 |
transcript.pyannote[2824].speaker |
SPEAKER_19 |
transcript.pyannote[2824].start |
15329.98971875 |
transcript.pyannote[2824].end |
15336.03096875 |
transcript.pyannote[2825].speaker |
SPEAKER_20 |
transcript.pyannote[2825].start |
15336.03096875 |
transcript.pyannote[2825].end |
15337.14471875 |
transcript.pyannote[2826].speaker |
SPEAKER_20 |
transcript.pyannote[2826].start |
15338.27534375 |
transcript.pyannote[2826].end |
15346.93221875 |
transcript.pyannote[2827].speaker |
SPEAKER_20 |
transcript.pyannote[2827].start |
15347.30346875 |
transcript.pyannote[2827].end |
15347.84346875 |
transcript.pyannote[2828].speaker |
SPEAKER_19 |
transcript.pyannote[2828].start |
15347.84346875 |
transcript.pyannote[2828].end |
15356.02784375 |
transcript.pyannote[2829].speaker |
SPEAKER_20 |
transcript.pyannote[2829].start |
15348.21471875 |
transcript.pyannote[2829].end |
15348.41721875 |
transcript.pyannote[2830].speaker |
SPEAKER_20 |
transcript.pyannote[2830].start |
15348.46784375 |
transcript.pyannote[2830].end |
15348.70409375 |
transcript.pyannote[2831].speaker |
SPEAKER_19 |
transcript.pyannote[2831].start |
15356.51721875 |
transcript.pyannote[2831].end |
15364.12784375 |
transcript.pyannote[2832].speaker |
SPEAKER_19 |
transcript.pyannote[2832].start |
15364.80284375 |
transcript.pyannote[2832].end |
15366.45659375 |
transcript.pyannote[2833].speaker |
SPEAKER_19 |
transcript.pyannote[2833].start |
15366.50721875 |
transcript.pyannote[2833].end |
15366.52409375 |
transcript.pyannote[2834].speaker |
SPEAKER_20 |
transcript.pyannote[2834].start |
15366.52409375 |
transcript.pyannote[2834].end |
15380.64846875 |
transcript.pyannote[2835].speaker |
SPEAKER_19 |
transcript.pyannote[2835].start |
15366.59159375 |
transcript.pyannote[2835].end |
15366.64221875 |
transcript.pyannote[2836].speaker |
SPEAKER_19 |
transcript.pyannote[2836].start |
15366.65909375 |
transcript.pyannote[2836].end |
15367.41846875 |
transcript.pyannote[2837].speaker |
SPEAKER_19 |
transcript.pyannote[2837].start |
15380.29409375 |
transcript.pyannote[2837].end |
15385.32284375 |
transcript.pyannote[2838].speaker |
SPEAKER_20 |
transcript.pyannote[2838].start |
15384.09096875 |
transcript.pyannote[2838].end |
15384.25971875 |
transcript.pyannote[2839].speaker |
SPEAKER_20 |
transcript.pyannote[2839].start |
15384.27659375 |
transcript.pyannote[2839].end |
15384.29346875 |
transcript.pyannote[2840].speaker |
SPEAKER_20 |
transcript.pyannote[2840].start |
15385.69409375 |
transcript.pyannote[2840].end |
15385.98096875 |
transcript.pyannote[2841].speaker |
SPEAKER_19 |
transcript.pyannote[2841].start |
15385.98096875 |
transcript.pyannote[2841].end |
15389.10284375 |
transcript.pyannote[2842].speaker |
SPEAKER_20 |
transcript.pyannote[2842].start |
15387.06096875 |
transcript.pyannote[2842].end |
15389.89596875 |
transcript.pyannote[2843].speaker |
SPEAKER_19 |
transcript.pyannote[2843].start |
15389.72721875 |
transcript.pyannote[2843].end |
15392.10659375 |
transcript.pyannote[2844].speaker |
SPEAKER_20 |
transcript.pyannote[2844].start |
15393.22034375 |
transcript.pyannote[2844].end |
15396.00471875 |
transcript.pyannote[2845].speaker |
SPEAKER_20 |
transcript.pyannote[2845].start |
15396.27471875 |
transcript.pyannote[2845].end |
15403.85159375 |
transcript.pyannote[2846].speaker |
SPEAKER_19 |
transcript.pyannote[2846].start |
15403.85159375 |
transcript.pyannote[2846].end |
15413.04846875 |
transcript.pyannote[2847].speaker |
SPEAKER_20 |
transcript.pyannote[2847].start |
15412.91346875 |
transcript.pyannote[2847].end |
15417.95909375 |
transcript.pyannote[2848].speaker |
SPEAKER_20 |
transcript.pyannote[2848].start |
15418.41471875 |
transcript.pyannote[2848].end |
15421.01346875 |
transcript.pyannote[2849].speaker |
SPEAKER_19 |
transcript.pyannote[2849].start |
15419.93346875 |
transcript.pyannote[2849].end |
15420.65909375 |
transcript.pyannote[2850].speaker |
SPEAKER_19 |
transcript.pyannote[2850].start |
15421.01346875 |
transcript.pyannote[2850].end |
15421.09784375 |
transcript.pyannote[2851].speaker |
SPEAKER_20 |
transcript.pyannote[2851].start |
15421.65471875 |
transcript.pyannote[2851].end |
15424.42221875 |
transcript.pyannote[2852].speaker |
SPEAKER_19 |
transcript.pyannote[2852].start |
15423.25784375 |
transcript.pyannote[2852].end |
15423.56159375 |
transcript.pyannote[2853].speaker |
SPEAKER_19 |
transcript.pyannote[2853].start |
15423.96659375 |
transcript.pyannote[2853].end |
15426.24471875 |
transcript.pyannote[2854].speaker |
SPEAKER_20 |
transcript.pyannote[2854].start |
15426.24471875 |
transcript.pyannote[2854].end |
15426.49784375 |
transcript.pyannote[2855].speaker |
SPEAKER_19 |
transcript.pyannote[2855].start |
15427.10534375 |
transcript.pyannote[2855].end |
15429.50159375 |
transcript.pyannote[2856].speaker |
SPEAKER_20 |
transcript.pyannote[2856].start |
15427.62846875 |
transcript.pyannote[2856].end |
15431.05409375 |
transcript.pyannote[2857].speaker |
SPEAKER_20 |
transcript.pyannote[2857].start |
15431.49284375 |
transcript.pyannote[2857].end |
15431.76284375 |
transcript.pyannote[2858].speaker |
SPEAKER_20 |
transcript.pyannote[2858].start |
15431.94846875 |
transcript.pyannote[2858].end |
15434.81721875 |
transcript.pyannote[2859].speaker |
SPEAKER_19 |
transcript.pyannote[2859].start |
15434.39534375 |
transcript.pyannote[2859].end |
15436.62284375 |
transcript.pyannote[2860].speaker |
SPEAKER_20 |
transcript.pyannote[2860].start |
15436.72409375 |
transcript.pyannote[2860].end |
15439.13721875 |
transcript.pyannote[2861].speaker |
SPEAKER_19 |
transcript.pyannote[2861].start |
15438.76596875 |
transcript.pyannote[2861].end |
15444.01409375 |
transcript.pyannote[2862].speaker |
SPEAKER_20 |
transcript.pyannote[2862].start |
15440.74034375 |
transcript.pyannote[2862].end |
15443.99721875 |
transcript.pyannote[2863].speaker |
SPEAKER_20 |
transcript.pyannote[2863].start |
15444.01409375 |
transcript.pyannote[2863].end |
15444.95909375 |
transcript.pyannote[2864].speaker |
SPEAKER_19 |
transcript.pyannote[2864].start |
15445.27971875 |
transcript.pyannote[2864].end |
15454.94909375 |
transcript.pyannote[2865].speaker |
SPEAKER_20 |
transcript.pyannote[2865].start |
15446.35971875 |
transcript.pyannote[2865].end |
15446.74784375 |
transcript.pyannote[2866].speaker |
SPEAKER_20 |
transcript.pyannote[2866].start |
15451.82721875 |
transcript.pyannote[2866].end |
15463.20096875 |
transcript.pyannote[2867].speaker |
SPEAKER_19 |
transcript.pyannote[2867].start |
15456.18096875 |
transcript.pyannote[2867].end |
15456.61971875 |
transcript.pyannote[2868].speaker |
SPEAKER_19 |
transcript.pyannote[2868].start |
15459.01596875 |
transcript.pyannote[2868].end |
15459.31971875 |
transcript.pyannote[2869].speaker |
SPEAKER_20 |
transcript.pyannote[2869].start |
15463.38659375 |
transcript.pyannote[2869].end |
15470.10284375 |
transcript.pyannote[2870].speaker |
SPEAKER_19 |
transcript.pyannote[2870].start |
15465.52971875 |
transcript.pyannote[2870].end |
15465.83346875 |
transcript.pyannote[2871].speaker |
SPEAKER_19 |
transcript.pyannote[2871].start |
15470.30534375 |
transcript.pyannote[2871].end |
15470.69346875 |
transcript.pyannote[2872].speaker |
SPEAKER_20 |
transcript.pyannote[2872].start |
15470.99721875 |
transcript.pyannote[2872].end |
15471.31784375 |
transcript.pyannote[2873].speaker |
SPEAKER_19 |
transcript.pyannote[2873].start |
15471.89159375 |
transcript.pyannote[2873].end |
15472.98846875 |
transcript.pyannote[2874].speaker |
SPEAKER_19 |
transcript.pyannote[2874].start |
15474.22034375 |
transcript.pyannote[2874].end |
15477.20721875 |
transcript.pyannote[2875].speaker |
SPEAKER_20 |
transcript.pyannote[2875].start |
15477.44346875 |
transcript.pyannote[2875].end |
15478.91159375 |
transcript.pyannote[2876].speaker |
SPEAKER_20 |
transcript.pyannote[2876].start |
15479.31659375 |
transcript.pyannote[2876].end |
15481.79721875 |
transcript.pyannote[2877].speaker |
SPEAKER_20 |
transcript.pyannote[2877].start |
15482.28659375 |
transcript.pyannote[2877].end |
15489.50909375 |
transcript.pyannote[2878].speaker |
SPEAKER_00 |
transcript.pyannote[2878].start |
15483.68721875 |
transcript.pyannote[2878].end |
15483.82221875 |
transcript.pyannote[2879].speaker |
SPEAKER_19 |
transcript.pyannote[2879].start |
15491.31471875 |
transcript.pyannote[2879].end |
15494.70659375 |
transcript.pyannote[2880].speaker |
SPEAKER_19 |
transcript.pyannote[2880].start |
15495.68534375 |
transcript.pyannote[2880].end |
15514.01159375 |
transcript.pyannote[2881].speaker |
SPEAKER_19 |
transcript.pyannote[2881].start |
15514.56846875 |
transcript.pyannote[2881].end |
15516.79596875 |
transcript.pyannote[2882].speaker |
SPEAKER_20 |
transcript.pyannote[2882].start |
15517.04909375 |
transcript.pyannote[2882].end |
15526.95471875 |
transcript.pyannote[2883].speaker |
SPEAKER_20 |
transcript.pyannote[2883].start |
15527.51159375 |
transcript.pyannote[2883].end |
15535.93221875 |
transcript.pyannote[2884].speaker |
SPEAKER_19 |
transcript.pyannote[2884].start |
15527.93346875 |
transcript.pyannote[2884].end |
15528.32159375 |
transcript.pyannote[2885].speaker |
SPEAKER_19 |
transcript.pyannote[2885].start |
15528.97971875 |
transcript.pyannote[2885].end |
15529.26659375 |
transcript.pyannote[2886].speaker |
SPEAKER_22 |
transcript.pyannote[2886].start |
15529.26659375 |
transcript.pyannote[2886].end |
15529.31721875 |
transcript.pyannote[2887].speaker |
SPEAKER_19 |
transcript.pyannote[2887].start |
15529.31721875 |
transcript.pyannote[2887].end |
15529.35096875 |
transcript.pyannote[2888].speaker |
SPEAKER_19 |
transcript.pyannote[2888].start |
15532.75971875 |
transcript.pyannote[2888].end |
15532.77659375 |
transcript.pyannote[2889].speaker |
SPEAKER_22 |
transcript.pyannote[2889].start |
15532.77659375 |
transcript.pyannote[2889].end |
15533.11409375 |
transcript.pyannote[2890].speaker |
SPEAKER_22 |
transcript.pyannote[2890].start |
15536.06721875 |
transcript.pyannote[2890].end |
15536.38784375 |
transcript.pyannote[2891].speaker |
SPEAKER_20 |
transcript.pyannote[2891].start |
15536.38784375 |
transcript.pyannote[2891].end |
15542.47971875 |
transcript.pyannote[2892].speaker |
SPEAKER_20 |
transcript.pyannote[2892].start |
15543.22221875 |
transcript.pyannote[2892].end |
15549.09471875 |
transcript.pyannote[2893].speaker |
SPEAKER_20 |
transcript.pyannote[2893].start |
15549.49971875 |
transcript.pyannote[2893].end |
15552.58784375 |
transcript.pyannote[2894].speaker |
SPEAKER_20 |
transcript.pyannote[2894].start |
15553.12784375 |
transcript.pyannote[2894].end |
15555.15284375 |
transcript.pyannote[2895].speaker |
SPEAKER_20 |
transcript.pyannote[2895].start |
15555.42284375 |
transcript.pyannote[2895].end |
15573.66471875 |
transcript.pyannote[2896].speaker |
SPEAKER_19 |
transcript.pyannote[2896].start |
15575.20034375 |
transcript.pyannote[2896].end |
15586.13534375 |
transcript.pyannote[2897].speaker |
SPEAKER_20 |
transcript.pyannote[2897].start |
15580.51596875 |
transcript.pyannote[2897].end |
15580.90409375 |
transcript.pyannote[2898].speaker |
SPEAKER_00 |
transcript.pyannote[2898].start |
15580.90409375 |
transcript.pyannote[2898].end |
15581.05596875 |
transcript.pyannote[2899].speaker |
SPEAKER_19 |
transcript.pyannote[2899].start |
15586.42221875 |
transcript.pyannote[2899].end |
15594.11721875 |
transcript.pyannote[2900].speaker |
SPEAKER_20 |
transcript.pyannote[2900].start |
15594.06659375 |
transcript.pyannote[2900].end |
15595.48409375 |
transcript.pyannote[2901].speaker |
SPEAKER_19 |
transcript.pyannote[2901].start |
15595.24784375 |
transcript.pyannote[2901].end |
15596.73284375 |
transcript.pyannote[2902].speaker |
SPEAKER_19 |
transcript.pyannote[2902].start |
15597.00284375 |
transcript.pyannote[2902].end |
15603.21284375 |
transcript.pyannote[2903].speaker |
SPEAKER_19 |
transcript.pyannote[2903].start |
15603.49971875 |
transcript.pyannote[2903].end |
15605.47409375 |
transcript.pyannote[2904].speaker |
SPEAKER_19 |
transcript.pyannote[2904].start |
15606.53721875 |
transcript.pyannote[2904].end |
15608.14034375 |
transcript.pyannote[2905].speaker |
SPEAKER_06 |
transcript.pyannote[2905].start |
15608.25846875 |
transcript.pyannote[2905].end |
15610.55346875 |
transcript.pyannote[2906].speaker |
SPEAKER_06 |
transcript.pyannote[2906].start |
15610.89096875 |
transcript.pyannote[2906].end |
15621.89346875 |
transcript.pyannote[2907].speaker |
SPEAKER_30 |
transcript.pyannote[2907].start |
15630.24659375 |
transcript.pyannote[2907].end |
15634.61721875 |
transcript.pyannote[2908].speaker |
SPEAKER_30 |
transcript.pyannote[2908].start |
15635.73096875 |
transcript.pyannote[2908].end |
15636.74346875 |
transcript.pyannote[2909].speaker |
SPEAKER_30 |
transcript.pyannote[2909].start |
15636.94596875 |
transcript.pyannote[2909].end |
15637.60409375 |
transcript.pyannote[2910].speaker |
SPEAKER_20 |
transcript.pyannote[2910].start |
15640.28721875 |
transcript.pyannote[2910].end |
15640.92846875 |
transcript.pyannote[2911].speaker |
SPEAKER_30 |
transcript.pyannote[2911].start |
15641.04659375 |
transcript.pyannote[2911].end |
15642.71721875 |
transcript.pyannote[2912].speaker |
SPEAKER_30 |
transcript.pyannote[2912].start |
15642.88596875 |
transcript.pyannote[2912].end |
15644.97846875 |
transcript.pyannote[2913].speaker |
SPEAKER_30 |
transcript.pyannote[2913].start |
15645.31596875 |
transcript.pyannote[2913].end |
15672.48471875 |
transcript.pyannote[2914].speaker |
SPEAKER_20 |
transcript.pyannote[2914].start |
15673.81784375 |
transcript.pyannote[2914].end |
15674.10471875 |
transcript.pyannote[2915].speaker |
SPEAKER_20 |
transcript.pyannote[2915].start |
15674.57721875 |
transcript.pyannote[2915].end |
15683.25096875 |
transcript.pyannote[2916].speaker |
SPEAKER_20 |
transcript.pyannote[2916].start |
15683.62221875 |
transcript.pyannote[2916].end |
15689.42721875 |
transcript.pyannote[2917].speaker |
SPEAKER_30 |
transcript.pyannote[2917].start |
15687.46971875 |
transcript.pyannote[2917].end |
15689.14034375 |
transcript.pyannote[2918].speaker |
SPEAKER_30 |
transcript.pyannote[2918].start |
15689.34284375 |
transcript.pyannote[2918].end |
15697.52721875 |
transcript.pyannote[2919].speaker |
SPEAKER_30 |
transcript.pyannote[2919].start |
15698.57346875 |
transcript.pyannote[2919].end |
15699.33284375 |
transcript.pyannote[2920].speaker |
SPEAKER_30 |
transcript.pyannote[2920].start |
15700.21034375 |
transcript.pyannote[2920].end |
15730.55159375 |
transcript.pyannote[2921].speaker |
SPEAKER_30 |
transcript.pyannote[2921].start |
15732.01971875 |
transcript.pyannote[2921].end |
15742.70159375 |
transcript.pyannote[2922].speaker |
SPEAKER_30 |
transcript.pyannote[2922].start |
15742.98846875 |
transcript.pyannote[2922].end |
15832.81409375 |
transcript.pyannote[2923].speaker |
SPEAKER_30 |
transcript.pyannote[2923].start |
15832.83096875 |
transcript.pyannote[2923].end |
15848.13659375 |
transcript.pyannote[2924].speaker |
SPEAKER_30 |
transcript.pyannote[2924].start |
15848.71034375 |
transcript.pyannote[2924].end |
15861.75471875 |
transcript.pyannote[2925].speaker |
SPEAKER_30 |
transcript.pyannote[2925].start |
15862.42971875 |
transcript.pyannote[2925].end |
15863.03721875 |
transcript.pyannote[2926].speaker |
SPEAKER_30 |
transcript.pyannote[2926].start |
15864.37034375 |
transcript.pyannote[2926].end |
15866.73284375 |
transcript.pyannote[2927].speaker |
SPEAKER_30 |
transcript.pyannote[2927].start |
15867.35721875 |
transcript.pyannote[2927].end |
15872.11596875 |
transcript.pyannote[2928].speaker |
SPEAKER_30 |
transcript.pyannote[2928].start |
15872.48721875 |
transcript.pyannote[2928].end |
15876.89159375 |
transcript.pyannote[2929].speaker |
SPEAKER_30 |
transcript.pyannote[2929].start |
15877.17846875 |
transcript.pyannote[2929].end |
15877.22909375 |
transcript.pyannote[2930].speaker |
SPEAKER_30 |
transcript.pyannote[2930].start |
15877.68471875 |
transcript.pyannote[2930].end |
15882.56159375 |
transcript.pyannote[2931].speaker |
SPEAKER_30 |
transcript.pyannote[2931].start |
15883.37159375 |
transcript.pyannote[2931].end |
15895.30221875 |
transcript.pyannote[2932].speaker |
SPEAKER_30 |
transcript.pyannote[2932].start |
15895.92659375 |
transcript.pyannote[2932].end |
15900.09471875 |
transcript.pyannote[2933].speaker |
SPEAKER_30 |
transcript.pyannote[2933].start |
15900.56721875 |
transcript.pyannote[2933].end |
15934.28346875 |
transcript.pyannote[2934].speaker |
SPEAKER_30 |
transcript.pyannote[2934].start |
15934.38471875 |
transcript.pyannote[2934].end |
15937.64159375 |
transcript.pyannote[2935].speaker |
SPEAKER_00 |
transcript.pyannote[2935].start |
15936.27471875 |
transcript.pyannote[2935].end |
15936.51096875 |
transcript.pyannote[2936].speaker |
SPEAKER_30 |
transcript.pyannote[2936].start |
15937.70909375 |
transcript.pyannote[2936].end |
15952.39034375 |
transcript.pyannote[2937].speaker |
SPEAKER_22 |
transcript.pyannote[2937].start |
15952.39034375 |
transcript.pyannote[2937].end |
15952.72784375 |
transcript.pyannote[2938].speaker |
SPEAKER_30 |
transcript.pyannote[2938].start |
15953.63909375 |
transcript.pyannote[2938].end |
15957.72284375 |
transcript.pyannote[2939].speaker |
SPEAKER_30 |
transcript.pyannote[2939].start |
15958.98846875 |
transcript.pyannote[2939].end |
15981.66846875 |
transcript.pyannote[2940].speaker |
SPEAKER_30 |
transcript.pyannote[2940].start |
15981.95534375 |
transcript.pyannote[2940].end |
15982.56284375 |
transcript.pyannote[2941].speaker |
SPEAKER_30 |
transcript.pyannote[2941].start |
15983.20409375 |
transcript.pyannote[2941].end |
15987.00096875 |
transcript.pyannote[2942].speaker |
SPEAKER_20 |
transcript.pyannote[2942].start |
15986.98409375 |
transcript.pyannote[2942].end |
15991.89471875 |
transcript.pyannote[2943].speaker |
SPEAKER_30 |
transcript.pyannote[2943].start |
15991.59096875 |
transcript.pyannote[2943].end |
15991.96221875 |
transcript.pyannote[2944].speaker |
SPEAKER_22 |
transcript.pyannote[2944].start |
15991.89471875 |
transcript.pyannote[2944].end |
15992.28284375 |
transcript.pyannote[2945].speaker |
SPEAKER_20 |
transcript.pyannote[2945].start |
15991.96221875 |
transcript.pyannote[2945].end |
15992.29971875 |
transcript.pyannote[2946].speaker |
SPEAKER_22 |
transcript.pyannote[2946].start |
15992.29971875 |
transcript.pyannote[2946].end |
15993.05909375 |
transcript.pyannote[2947].speaker |
SPEAKER_20 |
transcript.pyannote[2947].start |
15993.05909375 |
transcript.pyannote[2947].end |
15993.10971875 |
transcript.pyannote[2948].speaker |
SPEAKER_15 |
transcript.pyannote[2948].start |
15993.10971875 |
transcript.pyannote[2948].end |
16001.69909375 |
transcript.pyannote[2949].speaker |
SPEAKER_15 |
transcript.pyannote[2949].start |
16001.81721875 |
transcript.pyannote[2949].end |
16022.70846875 |
transcript.pyannote[2950].speaker |
SPEAKER_15 |
transcript.pyannote[2950].start |
16023.97409375 |
transcript.pyannote[2950].end |
16032.02346875 |
transcript.pyannote[2951].speaker |
SPEAKER_22 |
transcript.pyannote[2951].start |
16024.02471875 |
transcript.pyannote[2951].end |
16024.05846875 |
transcript.pyannote[2952].speaker |
SPEAKER_30 |
transcript.pyannote[2952].start |
16024.05846875 |
transcript.pyannote[2952].end |
16024.95284375 |
transcript.pyannote[2953].speaker |
SPEAKER_30 |
transcript.pyannote[2953].start |
16032.52971875 |
transcript.pyannote[2953].end |
16066.93784375 |
transcript.pyannote[2954].speaker |
SPEAKER_30 |
transcript.pyannote[2954].start |
16067.61284375 |
transcript.pyannote[2954].end |
16078.68284375 |
transcript.pyannote[2955].speaker |
SPEAKER_30 |
transcript.pyannote[2955].start |
16079.13846875 |
transcript.pyannote[2955].end |
16086.52971875 |
transcript.pyannote[2956].speaker |
SPEAKER_30 |
transcript.pyannote[2956].start |
16087.37346875 |
transcript.pyannote[2956].end |
16101.61596875 |
transcript.pyannote[2957].speaker |
SPEAKER_30 |
transcript.pyannote[2957].start |
16102.10534375 |
transcript.pyannote[2957].end |
16102.44284375 |
transcript.pyannote[2958].speaker |
SPEAKER_30 |
transcript.pyannote[2958].start |
16102.88159375 |
transcript.pyannote[2958].end |
16103.38784375 |
transcript.pyannote[2959].speaker |
SPEAKER_30 |
transcript.pyannote[2959].start |
16104.14721875 |
transcript.pyannote[2959].end |
16106.03721875 |
transcript.pyannote[2960].speaker |
SPEAKER_30 |
transcript.pyannote[2960].start |
16106.57721875 |
transcript.pyannote[2960].end |
16111.48784375 |
transcript.pyannote[2961].speaker |
SPEAKER_30 |
transcript.pyannote[2961].start |
16111.94346875 |
transcript.pyannote[2961].end |
16116.85409375 |
transcript.pyannote[2962].speaker |
SPEAKER_30 |
transcript.pyannote[2962].start |
16117.44471875 |
transcript.pyannote[2962].end |
16117.83284375 |
transcript.pyannote[2963].speaker |
SPEAKER_30 |
transcript.pyannote[2963].start |
16118.01846875 |
transcript.pyannote[2963].end |
16119.25034375 |
transcript.pyannote[2964].speaker |
SPEAKER_30 |
transcript.pyannote[2964].start |
16119.90846875 |
transcript.pyannote[2964].end |
16128.12659375 |
transcript.pyannote[2965].speaker |
SPEAKER_30 |
transcript.pyannote[2965].start |
16129.02096875 |
transcript.pyannote[2965].end |
16130.42159375 |
transcript.pyannote[2966].speaker |
SPEAKER_30 |
transcript.pyannote[2966].start |
16130.65784375 |
transcript.pyannote[2966].end |
16133.50971875 |
transcript.pyannote[2967].speaker |
SPEAKER_30 |
transcript.pyannote[2967].start |
16133.99909375 |
transcript.pyannote[2967].end |
16137.22221875 |
transcript.pyannote[2968].speaker |
SPEAKER_30 |
transcript.pyannote[2968].start |
16138.03221875 |
transcript.pyannote[2968].end |
16147.83659375 |
transcript.pyannote[2969].speaker |
SPEAKER_30 |
transcript.pyannote[2969].start |
16148.15721875 |
transcript.pyannote[2969].end |
16152.67971875 |
transcript.pyannote[2970].speaker |
SPEAKER_30 |
transcript.pyannote[2970].start |
16152.73034375 |
transcript.pyannote[2970].end |
16154.38409375 |
transcript.pyannote[2971].speaker |
SPEAKER_30 |
transcript.pyannote[2971].start |
16155.04221875 |
transcript.pyannote[2971].end |
16156.32471875 |
transcript.pyannote[2972].speaker |
SPEAKER_30 |
transcript.pyannote[2972].start |
16156.61159375 |
transcript.pyannote[2972].end |
16195.18784375 |
transcript.pyannote[2973].speaker |
SPEAKER_30 |
transcript.pyannote[2973].start |
16195.49159375 |
transcript.pyannote[2973].end |
16200.06471875 |
transcript.pyannote[2974].speaker |
SPEAKER_30 |
transcript.pyannote[2974].start |
16200.18284375 |
transcript.pyannote[2974].end |
16204.78971875 |
transcript.pyannote[2975].speaker |
SPEAKER_20 |
transcript.pyannote[2975].start |
16205.59971875 |
transcript.pyannote[2975].end |
16216.45034375 |
transcript.pyannote[2976].speaker |
SPEAKER_30 |
transcript.pyannote[2976].start |
16218.59346875 |
transcript.pyannote[2976].end |
16224.26346875 |
transcript.pyannote[2977].speaker |
SPEAKER_21 |
transcript.pyannote[2977].start |
16224.26346875 |
transcript.pyannote[2977].end |
16224.93846875 |
transcript.pyannote[2978].speaker |
SPEAKER_30 |
transcript.pyannote[2978].start |
16225.51221875 |
transcript.pyannote[2978].end |
16225.52909375 |
transcript.pyannote[2979].speaker |
SPEAKER_06 |
transcript.pyannote[2979].start |
16225.52909375 |
transcript.pyannote[2979].end |
16245.49221875 |
transcript.pyannote[2980].speaker |
SPEAKER_11 |
transcript.pyannote[2980].start |
16251.66846875 |
transcript.pyannote[2980].end |
16254.08159375 |
transcript.pyannote[2981].speaker |
SPEAKER_06 |
transcript.pyannote[2981].start |
16254.85784375 |
transcript.pyannote[2981].end |
16255.81971875 |
transcript.pyannote[2982].speaker |
SPEAKER_11 |
transcript.pyannote[2982].start |
16260.30846875 |
transcript.pyannote[2982].end |
16261.72596875 |
transcript.pyannote[2983].speaker |
SPEAKER_11 |
transcript.pyannote[2983].start |
16262.06346875 |
transcript.pyannote[2983].end |
16263.17721875 |
transcript.pyannote[2984].speaker |
SPEAKER_11 |
transcript.pyannote[2984].start |
16263.63284375 |
transcript.pyannote[2984].end |
16266.07971875 |
transcript.pyannote[2985].speaker |
SPEAKER_11 |
transcript.pyannote[2985].start |
16266.50159375 |
transcript.pyannote[2985].end |
16270.99034375 |
transcript.pyannote[2986].speaker |
SPEAKER_11 |
transcript.pyannote[2986].start |
16271.14221875 |
transcript.pyannote[2986].end |
16284.13596875 |
transcript.pyannote[2987].speaker |
SPEAKER_20 |
transcript.pyannote[2987].start |
16283.15721875 |
transcript.pyannote[2987].end |
16284.86159375 |
transcript.pyannote[2988].speaker |
SPEAKER_11 |
transcript.pyannote[2988].start |
16284.86159375 |
transcript.pyannote[2988].end |
16287.34221875 |
transcript.pyannote[2989].speaker |
SPEAKER_20 |
transcript.pyannote[2989].start |
16285.03034375 |
transcript.pyannote[2989].end |
16286.12721875 |
transcript.pyannote[2990].speaker |
SPEAKER_20 |
transcript.pyannote[2990].start |
16287.73034375 |
transcript.pyannote[2990].end |
16294.56471875 |
transcript.pyannote[2991].speaker |
SPEAKER_11 |
transcript.pyannote[2991].start |
16292.55659375 |
transcript.pyannote[2991].end |
16294.54784375 |
transcript.pyannote[2992].speaker |
SPEAKER_11 |
transcript.pyannote[2992].start |
16294.56471875 |
transcript.pyannote[2992].end |
16295.12159375 |
transcript.pyannote[2993].speaker |
SPEAKER_20 |
transcript.pyannote[2993].start |
16295.12159375 |
transcript.pyannote[2993].end |
16295.57721875 |
transcript.pyannote[2994].speaker |
SPEAKER_11 |
transcript.pyannote[2994].start |
16295.84721875 |
transcript.pyannote[2994].end |
16298.61471875 |
transcript.pyannote[2995].speaker |
SPEAKER_20 |
transcript.pyannote[2995].start |
16299.08721875 |
transcript.pyannote[2995].end |
16299.59346875 |
transcript.pyannote[2996].speaker |
SPEAKER_20 |
transcript.pyannote[2996].start |
16300.48784375 |
transcript.pyannote[2996].end |
16350.91034375 |
transcript.pyannote[2997].speaker |
SPEAKER_22 |
transcript.pyannote[2997].start |
16315.84409375 |
transcript.pyannote[2997].end |
16315.86096875 |
transcript.pyannote[2998].speaker |
SPEAKER_11 |
transcript.pyannote[2998].start |
16315.86096875 |
transcript.pyannote[2998].end |
16316.02971875 |
transcript.pyannote[2999].speaker |
SPEAKER_22 |
transcript.pyannote[2999].start |
16316.02971875 |
transcript.pyannote[2999].end |
16316.70471875 |
transcript.pyannote[3000].speaker |
SPEAKER_22 |
transcript.pyannote[3000].start |
16316.78909375 |
transcript.pyannote[3000].end |
16316.80596875 |
transcript.pyannote[3001].speaker |
SPEAKER_22 |
transcript.pyannote[3001].start |
16316.82284375 |
transcript.pyannote[3001].end |
16316.87346875 |
transcript.pyannote[3002].speaker |
SPEAKER_00 |
transcript.pyannote[3002].start |
16345.34159375 |
transcript.pyannote[3002].end |
16346.30346875 |
transcript.pyannote[3003].speaker |
SPEAKER_00 |
transcript.pyannote[3003].start |
16347.21471875 |
transcript.pyannote[3003].end |
16347.26534375 |
transcript.pyannote[3004].speaker |
SPEAKER_24 |
transcript.pyannote[3004].start |
16347.26534375 |
transcript.pyannote[3004].end |
16347.29909375 |
transcript.pyannote[3005].speaker |
SPEAKER_22 |
transcript.pyannote[3005].start |
16347.29909375 |
transcript.pyannote[3005].end |
16348.14284375 |
transcript.pyannote[3006].speaker |
SPEAKER_20 |
transcript.pyannote[3006].start |
16351.07909375 |
transcript.pyannote[3006].end |
16357.89659375 |
transcript.pyannote[3007].speaker |
SPEAKER_13 |
transcript.pyannote[3007].start |
16358.16659375 |
transcript.pyannote[3007].end |
16358.48721875 |
transcript.pyannote[3008].speaker |
SPEAKER_20 |
transcript.pyannote[3008].start |
16358.48721875 |
transcript.pyannote[3008].end |
16370.06346875 |
transcript.pyannote[3009].speaker |
SPEAKER_13 |
transcript.pyannote[3009].start |
16364.83221875 |
transcript.pyannote[3009].end |
16365.30471875 |
transcript.pyannote[3010].speaker |
SPEAKER_11 |
transcript.pyannote[3010].start |
16365.30471875 |
transcript.pyannote[3010].end |
16365.35534375 |
transcript.pyannote[3011].speaker |
SPEAKER_20 |
transcript.pyannote[3011].start |
16370.67096875 |
transcript.pyannote[3011].end |
16371.71721875 |
transcript.pyannote[3012].speaker |
SPEAKER_20 |
transcript.pyannote[3012].start |
16371.85221875 |
transcript.pyannote[3012].end |
16378.51784375 |
transcript.pyannote[3013].speaker |
SPEAKER_24 |
transcript.pyannote[3013].start |
16371.93659375 |
transcript.pyannote[3013].end |
16372.25721875 |
transcript.pyannote[3014].speaker |
SPEAKER_11 |
transcript.pyannote[3014].start |
16374.87284375 |
transcript.pyannote[3014].end |
16374.99096875 |
transcript.pyannote[3015].speaker |
SPEAKER_20 |
transcript.pyannote[3015].start |
16378.70346875 |
transcript.pyannote[3015].end |
16380.30659375 |
transcript.pyannote[3016].speaker |
SPEAKER_20 |
transcript.pyannote[3016].start |
16380.69471875 |
transcript.pyannote[3016].end |
16380.71159375 |
transcript.pyannote[3017].speaker |
SPEAKER_11 |
transcript.pyannote[3017].start |
16380.71159375 |
transcript.pyannote[3017].end |
16381.99409375 |
transcript.pyannote[3018].speaker |
SPEAKER_11 |
transcript.pyannote[3018].start |
16383.09096875 |
transcript.pyannote[3018].end |
16387.74846875 |
transcript.pyannote[3019].speaker |
SPEAKER_11 |
transcript.pyannote[3019].start |
16388.11971875 |
transcript.pyannote[3019].end |
16388.98034375 |
transcript.pyannote[3020].speaker |
SPEAKER_11 |
transcript.pyannote[3020].start |
16389.68909375 |
transcript.pyannote[3020].end |
16394.21159375 |
transcript.pyannote[3021].speaker |
SPEAKER_11 |
transcript.pyannote[3021].start |
16395.10596875 |
transcript.pyannote[3021].end |
16397.77221875 |
transcript.pyannote[3022].speaker |
SPEAKER_11 |
transcript.pyannote[3022].start |
16398.49784375 |
transcript.pyannote[3022].end |
16401.97409375 |
transcript.pyannote[3023].speaker |
SPEAKER_22 |
transcript.pyannote[3023].start |
16401.97409375 |
transcript.pyannote[3023].end |
16401.99096875 |
transcript.pyannote[3024].speaker |
SPEAKER_11 |
transcript.pyannote[3024].start |
16401.99096875 |
transcript.pyannote[3024].end |
16402.04159375 |
transcript.pyannote[3025].speaker |
SPEAKER_11 |
transcript.pyannote[3025].start |
16402.61534375 |
transcript.pyannote[3025].end |
16406.02409375 |
transcript.pyannote[3026].speaker |
SPEAKER_11 |
transcript.pyannote[3026].start |
16406.85096875 |
transcript.pyannote[3026].end |
16408.50471875 |
transcript.pyannote[3027].speaker |
SPEAKER_11 |
transcript.pyannote[3027].start |
16409.36534375 |
transcript.pyannote[3027].end |
16413.46596875 |
transcript.pyannote[3028].speaker |
SPEAKER_11 |
transcript.pyannote[3028].start |
16413.83721875 |
transcript.pyannote[3028].end |
16416.43596875 |
transcript.pyannote[3029].speaker |
SPEAKER_11 |
transcript.pyannote[3029].start |
16418.25846875 |
transcript.pyannote[3029].end |
16420.94159375 |
transcript.pyannote[3030].speaker |
SPEAKER_20 |
transcript.pyannote[3030].start |
16419.55784375 |
transcript.pyannote[3030].end |
16423.70909375 |
transcript.pyannote[3031].speaker |
SPEAKER_20 |
transcript.pyannote[3031].start |
16424.06346875 |
transcript.pyannote[3031].end |
16433.95221875 |
transcript.pyannote[3032].speaker |
SPEAKER_11 |
transcript.pyannote[3032].start |
16426.05471875 |
transcript.pyannote[3032].end |
16426.10534375 |
transcript.pyannote[3033].speaker |
SPEAKER_22 |
transcript.pyannote[3033].start |
16426.10534375 |
transcript.pyannote[3033].end |
16426.42596875 |
transcript.pyannote[3034].speaker |
SPEAKER_20 |
transcript.pyannote[3034].start |
16434.20534375 |
transcript.pyannote[3034].end |
16436.68596875 |
transcript.pyannote[3035].speaker |
SPEAKER_11 |
transcript.pyannote[3035].start |
16437.05721875 |
transcript.pyannote[3035].end |
16437.07409375 |
transcript.pyannote[3036].speaker |
SPEAKER_20 |
transcript.pyannote[3036].start |
16437.07409375 |
transcript.pyannote[3036].end |
16438.96409375 |
transcript.pyannote[3037].speaker |
SPEAKER_11 |
transcript.pyannote[3037].start |
16438.96409375 |
transcript.pyannote[3037].end |
16445.61284375 |
transcript.pyannote[3038].speaker |
SPEAKER_20 |
transcript.pyannote[3038].start |
16442.06909375 |
transcript.pyannote[3038].end |
16443.55409375 |
transcript.pyannote[3039].speaker |
SPEAKER_11 |
transcript.pyannote[3039].start |
16446.89534375 |
transcript.pyannote[3039].end |
16449.49409375 |
transcript.pyannote[3040].speaker |
SPEAKER_11 |
transcript.pyannote[3040].start |
16449.91596875 |
transcript.pyannote[3040].end |
16453.22346875 |
transcript.pyannote[3041].speaker |
SPEAKER_21 |
transcript.pyannote[3041].start |
16452.02534375 |
transcript.pyannote[3041].end |
16452.07596875 |
transcript.pyannote[3042].speaker |
SPEAKER_20 |
transcript.pyannote[3042].start |
16452.07596875 |
transcript.pyannote[3042].end |
16452.48096875 |
transcript.pyannote[3043].speaker |
SPEAKER_11 |
transcript.pyannote[3043].start |
16454.20221875 |
transcript.pyannote[3043].end |
16454.97846875 |
transcript.pyannote[3044].speaker |
SPEAKER_20 |
transcript.pyannote[3044].start |
16454.77596875 |
transcript.pyannote[3044].end |
16455.18096875 |
transcript.pyannote[3045].speaker |
SPEAKER_11 |
transcript.pyannote[3045].start |
16454.99534375 |
transcript.pyannote[3045].end |
16458.42096875 |
transcript.pyannote[3046].speaker |
SPEAKER_20 |
transcript.pyannote[3046].start |
16456.71659375 |
transcript.pyannote[3046].end |
16456.98659375 |
transcript.pyannote[3047].speaker |
SPEAKER_20 |
transcript.pyannote[3047].start |
16458.52221875 |
transcript.pyannote[3047].end |
16468.96784375 |
transcript.pyannote[3048].speaker |
SPEAKER_11 |
transcript.pyannote[3048].start |
16467.80346875 |
transcript.pyannote[3048].end |
16476.62909375 |
transcript.pyannote[3049].speaker |
SPEAKER_20 |
transcript.pyannote[3049].start |
16473.05159375 |
transcript.pyannote[3049].end |
16473.52409375 |
transcript.pyannote[3050].speaker |
SPEAKER_20 |
transcript.pyannote[3050].start |
16474.19909375 |
transcript.pyannote[3050].end |
16478.70471875 |
transcript.pyannote[3051].speaker |
SPEAKER_11 |
transcript.pyannote[3051].start |
16477.03409375 |
transcript.pyannote[3051].end |
16477.52346875 |
transcript.pyannote[3052].speaker |
SPEAKER_11 |
transcript.pyannote[3052].start |
16478.70471875 |
transcript.pyannote[3052].end |
16479.19409375 |
transcript.pyannote[3053].speaker |
SPEAKER_20 |
transcript.pyannote[3053].start |
16479.27846875 |
transcript.pyannote[3053].end |
16483.49721875 |
transcript.pyannote[3054].speaker |
SPEAKER_20 |
transcript.pyannote[3054].start |
16484.17221875 |
transcript.pyannote[3054].end |
16484.20596875 |
transcript.pyannote[3055].speaker |
SPEAKER_11 |
transcript.pyannote[3055].start |
16484.20596875 |
transcript.pyannote[3055].end |
16484.37471875 |
transcript.pyannote[3056].speaker |
SPEAKER_20 |
transcript.pyannote[3056].start |
16484.37471875 |
transcript.pyannote[3056].end |
16488.00284375 |
transcript.pyannote[3057].speaker |
SPEAKER_20 |
transcript.pyannote[3057].start |
16488.28971875 |
transcript.pyannote[3057].end |
16490.93909375 |
transcript.pyannote[3058].speaker |
SPEAKER_20 |
transcript.pyannote[3058].start |
16491.47909375 |
transcript.pyannote[3058].end |
16496.81159375 |
transcript.pyannote[3059].speaker |
SPEAKER_20 |
transcript.pyannote[3059].start |
16497.53721875 |
transcript.pyannote[3059].end |
16500.18659375 |
transcript.pyannote[3060].speaker |
SPEAKER_20 |
transcript.pyannote[3060].start |
16501.95846875 |
transcript.pyannote[3060].end |
16505.43471875 |
transcript.pyannote[3061].speaker |
SPEAKER_11 |
transcript.pyannote[3061].start |
16502.02596875 |
transcript.pyannote[3061].end |
16502.43096875 |
transcript.pyannote[3062].speaker |
SPEAKER_11 |
transcript.pyannote[3062].start |
16504.35471875 |
transcript.pyannote[3062].end |
16510.21034375 |
transcript.pyannote[3063].speaker |
SPEAKER_20 |
transcript.pyannote[3063].start |
16505.89034375 |
transcript.pyannote[3063].end |
16505.97471875 |
transcript.pyannote[3064].speaker |
SPEAKER_20 |
transcript.pyannote[3064].start |
16510.09221875 |
transcript.pyannote[3064].end |
16515.08721875 |
transcript.pyannote[3065].speaker |
SPEAKER_11 |
transcript.pyannote[3065].start |
16515.08721875 |
transcript.pyannote[3065].end |
16515.18846875 |
transcript.pyannote[3066].speaker |
SPEAKER_20 |
transcript.pyannote[3066].start |
16515.18846875 |
transcript.pyannote[3066].end |
16515.23909375 |
transcript.pyannote[3067].speaker |
SPEAKER_11 |
transcript.pyannote[3067].start |
16515.23909375 |
transcript.pyannote[3067].end |
16515.30659375 |
transcript.pyannote[3068].speaker |
SPEAKER_20 |
transcript.pyannote[3068].start |
16515.30659375 |
transcript.pyannote[3068].end |
16518.07409375 |
transcript.pyannote[3069].speaker |
SPEAKER_11 |
transcript.pyannote[3069].start |
16515.34034375 |
transcript.pyannote[3069].end |
16515.74534375 |
transcript.pyannote[3070].speaker |
SPEAKER_11 |
transcript.pyannote[3070].start |
16517.14596875 |
transcript.pyannote[3070].end |
16522.12409375 |
transcript.pyannote[3071].speaker |
SPEAKER_20 |
transcript.pyannote[3071].start |
16523.50784375 |
transcript.pyannote[3071].end |
16524.73971875 |
transcript.pyannote[3072].speaker |
SPEAKER_11 |
transcript.pyannote[3072].start |
16523.60909375 |
transcript.pyannote[3072].end |
16524.01409375 |
transcript.pyannote[3073].speaker |
SPEAKER_11 |
transcript.pyannote[3073].start |
16524.68909375 |
transcript.pyannote[3073].end |
16528.11471875 |
transcript.pyannote[3074].speaker |
SPEAKER_11 |
transcript.pyannote[3074].start |
16528.51971875 |
transcript.pyannote[3074].end |
16531.40534375 |
transcript.pyannote[3075].speaker |
SPEAKER_20 |
transcript.pyannote[3075].start |
16528.63784375 |
transcript.pyannote[3075].end |
16529.98784375 |
transcript.pyannote[3076].speaker |
SPEAKER_20 |
transcript.pyannote[3076].start |
16531.40534375 |
transcript.pyannote[3076].end |
16540.78784375 |
transcript.pyannote[3077].speaker |
SPEAKER_11 |
transcript.pyannote[3077].start |
16531.42221875 |
transcript.pyannote[3077].end |
16531.60784375 |
transcript.pyannote[3078].speaker |
SPEAKER_11 |
transcript.pyannote[3078].start |
16534.91534375 |
transcript.pyannote[3078].end |
16535.28659375 |
transcript.pyannote[3079].speaker |
SPEAKER_11 |
transcript.pyannote[3079].start |
16539.26909375 |
transcript.pyannote[3079].end |
16544.77034375 |
transcript.pyannote[3080].speaker |
SPEAKER_11 |
transcript.pyannote[3080].start |
16545.09096875 |
transcript.pyannote[3080].end |
16545.95159375 |
transcript.pyannote[3081].speaker |
SPEAKER_11 |
transcript.pyannote[3081].start |
16546.79534375 |
transcript.pyannote[3081].end |
16550.84534375 |
transcript.pyannote[3082].speaker |
SPEAKER_11 |
transcript.pyannote[3082].start |
16551.38534375 |
transcript.pyannote[3082].end |
16552.61721875 |
transcript.pyannote[3083].speaker |
SPEAKER_20 |
transcript.pyannote[3083].start |
16552.61721875 |
transcript.pyannote[3083].end |
16553.07284375 |
transcript.pyannote[3084].speaker |
SPEAKER_11 |
transcript.pyannote[3084].start |
16553.07284375 |
transcript.pyannote[3084].end |
16558.59096875 |
transcript.pyannote[3085].speaker |
SPEAKER_11 |
transcript.pyannote[3085].start |
16558.94534375 |
transcript.pyannote[3085].end |
16561.64534375 |
transcript.pyannote[3086].speaker |
SPEAKER_11 |
transcript.pyannote[3086].start |
16562.60721875 |
transcript.pyannote[3086].end |
16564.61534375 |
transcript.pyannote[3087].speaker |
SPEAKER_11 |
transcript.pyannote[3087].start |
16565.10471875 |
transcript.pyannote[3087].end |
16571.28096875 |
transcript.pyannote[3088].speaker |
SPEAKER_20 |
transcript.pyannote[3088].start |
16571.29784375 |
transcript.pyannote[3088].end |
16571.31471875 |
transcript.pyannote[3089].speaker |
SPEAKER_20 |
transcript.pyannote[3089].start |
16571.33159375 |
transcript.pyannote[3089].end |
16575.70221875 |
transcript.pyannote[3090].speaker |
SPEAKER_11 |
transcript.pyannote[3090].start |
16573.67721875 |
transcript.pyannote[3090].end |
16574.48721875 |
transcript.pyannote[3091].speaker |
SPEAKER_11 |
transcript.pyannote[3091].start |
16575.63471875 |
transcript.pyannote[3091].end |
16579.90409375 |
transcript.pyannote[3092].speaker |
SPEAKER_20 |
transcript.pyannote[3092].start |
16576.15784375 |
transcript.pyannote[3092].end |
16577.71034375 |
transcript.pyannote[3093].speaker |
SPEAKER_11 |
transcript.pyannote[3093].start |
16580.76471875 |
transcript.pyannote[3093].end |
16605.35159375 |
transcript.pyannote[3094].speaker |
SPEAKER_00 |
transcript.pyannote[3094].start |
16595.41221875 |
transcript.pyannote[3094].end |
16595.42909375 |
transcript.pyannote[3095].speaker |
SPEAKER_22 |
transcript.pyannote[3095].start |
16595.42909375 |
transcript.pyannote[3095].end |
16595.76659375 |
transcript.pyannote[3096].speaker |
SPEAKER_00 |
transcript.pyannote[3096].start |
16595.76659375 |
transcript.pyannote[3096].end |
16595.78346875 |
transcript.pyannote[3097].speaker |
SPEAKER_20 |
transcript.pyannote[3097].start |
16605.35159375 |
transcript.pyannote[3097].end |
16622.83409375 |
transcript.pyannote[3098].speaker |
SPEAKER_11 |
transcript.pyannote[3098].start |
16607.00534375 |
transcript.pyannote[3098].end |
16607.35971875 |
transcript.pyannote[3099].speaker |
SPEAKER_11 |
transcript.pyannote[3099].start |
16623.22221875 |
transcript.pyannote[3099].end |
16631.47409375 |
transcript.pyannote[3100].speaker |
SPEAKER_20 |
transcript.pyannote[3100].start |
16623.42471875 |
transcript.pyannote[3100].end |
16626.73221875 |
transcript.pyannote[3101].speaker |
SPEAKER_11 |
transcript.pyannote[3101].start |
16632.19971875 |
transcript.pyannote[3101].end |
16634.37659375 |
transcript.pyannote[3102].speaker |
SPEAKER_11 |
transcript.pyannote[3102].start |
16635.23721875 |
transcript.pyannote[3102].end |
16649.46284375 |
transcript.pyannote[3103].speaker |
SPEAKER_22 |
transcript.pyannote[3103].start |
16644.34971875 |
transcript.pyannote[3103].end |
16644.73784375 |
transcript.pyannote[3104].speaker |
SPEAKER_22 |
transcript.pyannote[3104].start |
16649.46284375 |
transcript.pyannote[3104].end |
16649.74971875 |
transcript.pyannote[3105].speaker |
SPEAKER_11 |
transcript.pyannote[3105].start |
16650.39096875 |
transcript.pyannote[3105].end |
16653.02346875 |
transcript.pyannote[3106].speaker |
SPEAKER_11 |
transcript.pyannote[3106].start |
16653.44534375 |
transcript.pyannote[3106].end |
16656.55034375 |
transcript.pyannote[3107].speaker |
SPEAKER_20 |
transcript.pyannote[3107].start |
16657.10721875 |
transcript.pyannote[3107].end |
16657.51221875 |
transcript.pyannote[3108].speaker |
SPEAKER_11 |
transcript.pyannote[3108].start |
16657.47846875 |
transcript.pyannote[3108].end |
16658.32221875 |
transcript.pyannote[3109].speaker |
SPEAKER_20 |
transcript.pyannote[3109].start |
16658.98034375 |
transcript.pyannote[3109].end |
16663.90784375 |
transcript.pyannote[3110].speaker |
SPEAKER_11 |
transcript.pyannote[3110].start |
16662.77721875 |
transcript.pyannote[3110].end |
16667.97471875 |
transcript.pyannote[3111].speaker |
SPEAKER_20 |
transcript.pyannote[3111].start |
16665.47721875 |
transcript.pyannote[3111].end |
16665.93284375 |
transcript.pyannote[3112].speaker |
SPEAKER_20 |
transcript.pyannote[3112].start |
16667.67096875 |
transcript.pyannote[3112].end |
16669.57784375 |
transcript.pyannote[3113].speaker |
SPEAKER_20 |
transcript.pyannote[3113].start |
16670.28659375 |
transcript.pyannote[3113].end |
16672.32846875 |
transcript.pyannote[3114].speaker |
SPEAKER_11 |
transcript.pyannote[3114].start |
16672.32846875 |
transcript.pyannote[3114].end |
16672.59846875 |
transcript.pyannote[3115].speaker |
SPEAKER_20 |
transcript.pyannote[3115].start |
16673.03721875 |
transcript.pyannote[3115].end |
16677.42471875 |
transcript.pyannote[3116].speaker |
SPEAKER_20 |
transcript.pyannote[3116].start |
16677.57659375 |
transcript.pyannote[3116].end |
16677.59346875 |
transcript.pyannote[3117].speaker |
SPEAKER_11 |
transcript.pyannote[3117].start |
16677.59346875 |
transcript.pyannote[3117].end |
16678.63971875 |
transcript.pyannote[3118].speaker |
SPEAKER_11 |
transcript.pyannote[3118].start |
16678.94346875 |
transcript.pyannote[3118].end |
16680.66471875 |
transcript.pyannote[3119].speaker |
SPEAKER_20 |
transcript.pyannote[3119].start |
16680.74909375 |
transcript.pyannote[3119].end |
16683.78659375 |
transcript.pyannote[3120].speaker |
SPEAKER_20 |
transcript.pyannote[3120].start |
16684.03971875 |
transcript.pyannote[3120].end |
16694.50221875 |
transcript.pyannote[3121].speaker |
SPEAKER_20 |
transcript.pyannote[3121].start |
16694.70471875 |
transcript.pyannote[3121].end |
16702.01159375 |
transcript.pyannote[3122].speaker |
SPEAKER_20 |
transcript.pyannote[3122].start |
16702.68659375 |
transcript.pyannote[3122].end |
16704.88034375 |
transcript.pyannote[3123].speaker |
SPEAKER_20 |
transcript.pyannote[3123].start |
16705.35284375 |
transcript.pyannote[3123].end |
16709.26784375 |
transcript.pyannote[3124].speaker |
SPEAKER_20 |
transcript.pyannote[3124].start |
16709.65596875 |
transcript.pyannote[3124].end |
16712.84534375 |
transcript.pyannote[3125].speaker |
SPEAKER_11 |
transcript.pyannote[3125].start |
16712.91284375 |
transcript.pyannote[3125].end |
16720.16909375 |
transcript.pyannote[3126].speaker |
SPEAKER_20 |
transcript.pyannote[3126].start |
16717.48596875 |
transcript.pyannote[3126].end |
16717.50284375 |
transcript.pyannote[3127].speaker |
SPEAKER_20 |
transcript.pyannote[3127].start |
16717.55346875 |
transcript.pyannote[3127].end |
16717.67159375 |
transcript.pyannote[3128].speaker |
SPEAKER_20 |
transcript.pyannote[3128].start |
16717.92471875 |
transcript.pyannote[3128].end |
16718.14409375 |
transcript.pyannote[3129].speaker |
SPEAKER_20 |
transcript.pyannote[3129].start |
16718.95409375 |
transcript.pyannote[3129].end |
16721.29971875 |
transcript.pyannote[3130].speaker |
SPEAKER_11 |
transcript.pyannote[3130].start |
16721.29971875 |
transcript.pyannote[3130].end |
16734.34409375 |
transcript.pyannote[3131].speaker |
SPEAKER_20 |
transcript.pyannote[3131].start |
16728.85971875 |
transcript.pyannote[3131].end |
16729.02846875 |
transcript.pyannote[3132].speaker |
SPEAKER_21 |
transcript.pyannote[3132].start |
16729.02846875 |
transcript.pyannote[3132].end |
16731.47534375 |
transcript.pyannote[3133].speaker |
SPEAKER_21 |
transcript.pyannote[3133].start |
16731.84659375 |
transcript.pyannote[3133].end |
16732.62284375 |
transcript.pyannote[3134].speaker |
SPEAKER_11 |
transcript.pyannote[3134].start |
16736.41971875 |
transcript.pyannote[3134].end |
16738.91721875 |
transcript.pyannote[3135].speaker |
SPEAKER_11 |
transcript.pyannote[3135].start |
16739.42346875 |
transcript.pyannote[3135].end |
16742.57909375 |
transcript.pyannote[3136].speaker |
SPEAKER_11 |
transcript.pyannote[3136].start |
16742.96721875 |
transcript.pyannote[3136].end |
16744.11471875 |
transcript.pyannote[3137].speaker |
SPEAKER_11 |
transcript.pyannote[3137].start |
16744.97534375 |
transcript.pyannote[3137].end |
16745.51534375 |
transcript.pyannote[3138].speaker |
SPEAKER_11 |
transcript.pyannote[3138].start |
16746.39284375 |
transcript.pyannote[3138].end |
16749.95346875 |
transcript.pyannote[3139].speaker |
SPEAKER_11 |
transcript.pyannote[3139].start |
16750.37534375 |
transcript.pyannote[3139].end |
16759.58909375 |
transcript.pyannote[3140].speaker |
SPEAKER_22 |
transcript.pyannote[3140].start |
16757.61471875 |
transcript.pyannote[3140].end |
16758.03659375 |
transcript.pyannote[3141].speaker |
SPEAKER_11 |
transcript.pyannote[3141].start |
16759.87596875 |
transcript.pyannote[3141].end |
16760.21346875 |
transcript.pyannote[3142].speaker |
SPEAKER_11 |
transcript.pyannote[3142].start |
16761.19221875 |
transcript.pyannote[3142].end |
16761.76596875 |
transcript.pyannote[3143].speaker |
SPEAKER_11 |
transcript.pyannote[3143].start |
16762.23846875 |
transcript.pyannote[3143].end |
16763.60534375 |
transcript.pyannote[3144].speaker |
SPEAKER_11 |
transcript.pyannote[3144].start |
16764.53346875 |
transcript.pyannote[3144].end |
16766.17034375 |
transcript.pyannote[3145].speaker |
SPEAKER_11 |
transcript.pyannote[3145].start |
16766.79471875 |
transcript.pyannote[3145].end |
16767.40221875 |
transcript.pyannote[3146].speaker |
SPEAKER_11 |
transcript.pyannote[3146].start |
16768.41471875 |
transcript.pyannote[3146].end |
16770.50721875 |
transcript.pyannote[3147].speaker |
SPEAKER_11 |
transcript.pyannote[3147].start |
16771.97534375 |
transcript.pyannote[3147].end |
16772.93721875 |
transcript.pyannote[3148].speaker |
SPEAKER_11 |
transcript.pyannote[3148].start |
16772.95409375 |
transcript.pyannote[3148].end |
16772.97096875 |
transcript.pyannote[3149].speaker |
SPEAKER_11 |
transcript.pyannote[3149].start |
16773.20721875 |
transcript.pyannote[3149].end |
16773.61221875 |
transcript.pyannote[3150].speaker |
SPEAKER_20 |
transcript.pyannote[3150].start |
16773.54471875 |
transcript.pyannote[3150].end |
16775.01284375 |
transcript.pyannote[3151].speaker |
SPEAKER_20 |
transcript.pyannote[3151].start |
16775.50221875 |
transcript.pyannote[3151].end |
16789.64346875 |
transcript.pyannote[3152].speaker |
SPEAKER_11 |
transcript.pyannote[3152].start |
16778.70846875 |
transcript.pyannote[3152].end |
16780.64909375 |
transcript.pyannote[3153].speaker |
SPEAKER_11 |
transcript.pyannote[3153].start |
16783.41659375 |
transcript.pyannote[3153].end |
16783.80471875 |
transcript.pyannote[3154].speaker |
SPEAKER_11 |
transcript.pyannote[3154].start |
16787.12909375 |
transcript.pyannote[3154].end |
16788.41159375 |
transcript.pyannote[3155].speaker |
SPEAKER_20 |
transcript.pyannote[3155].start |
16789.84596875 |
transcript.pyannote[3155].end |
16795.90409375 |
transcript.pyannote[3156].speaker |
SPEAKER_11 |
transcript.pyannote[3156].start |
16795.12784375 |
transcript.pyannote[3156].end |
16799.51534375 |
transcript.pyannote[3157].speaker |
SPEAKER_20 |
transcript.pyannote[3157].start |
16798.30034375 |
transcript.pyannote[3157].end |
16799.70096875 |
transcript.pyannote[3158].speaker |
SPEAKER_11 |
transcript.pyannote[3158].start |
16799.66721875 |
transcript.pyannote[3158].end |
16801.01721875 |
transcript.pyannote[3159].speaker |
SPEAKER_20 |
transcript.pyannote[3159].start |
16799.71784375 |
transcript.pyannote[3159].end |
16799.73471875 |
transcript.pyannote[3160].speaker |
SPEAKER_20 |
transcript.pyannote[3160].start |
16800.29159375 |
transcript.pyannote[3160].end |
16800.39284375 |
transcript.pyannote[3161].speaker |
SPEAKER_20 |
transcript.pyannote[3161].start |
16800.54471875 |
transcript.pyannote[3161].end |
16806.55221875 |
transcript.pyannote[3162].speaker |
SPEAKER_11 |
transcript.pyannote[3162].start |
16801.03409375 |
transcript.pyannote[3162].end |
16801.11846875 |
transcript.pyannote[3163].speaker |
SPEAKER_11 |
transcript.pyannote[3163].start |
16801.70909375 |
transcript.pyannote[3163].end |
16803.12659375 |
transcript.pyannote[3164].speaker |
SPEAKER_11 |
transcript.pyannote[3164].start |
16804.81409375 |
transcript.pyannote[3164].end |
16806.67034375 |
transcript.pyannote[3165].speaker |
SPEAKER_11 |
transcript.pyannote[3165].start |
16806.99096875 |
transcript.pyannote[3165].end |
16808.71221875 |
transcript.pyannote[3166].speaker |
SPEAKER_11 |
transcript.pyannote[3166].start |
16809.10034375 |
transcript.pyannote[3166].end |
16811.36159375 |
transcript.pyannote[3167].speaker |
SPEAKER_11 |
transcript.pyannote[3167].start |
16811.86784375 |
transcript.pyannote[3167].end |
16813.03221875 |
transcript.pyannote[3168].speaker |
SPEAKER_21 |
transcript.pyannote[3168].start |
16813.03221875 |
transcript.pyannote[3168].end |
16813.30221875 |
transcript.pyannote[3169].speaker |
SPEAKER_11 |
transcript.pyannote[3169].start |
16813.30221875 |
transcript.pyannote[3169].end |
16819.32659375 |
transcript.pyannote[3170].speaker |
SPEAKER_20 |
transcript.pyannote[3170].start |
16813.31909375 |
transcript.pyannote[3170].end |
16813.33596875 |
transcript.pyannote[3171].speaker |
SPEAKER_06 |
transcript.pyannote[3171].start |
16819.69784375 |
transcript.pyannote[3171].end |
16830.37971875 |
transcript.pyannote[3172].speaker |
SPEAKER_06 |
transcript.pyannote[3172].start |
16830.58221875 |
transcript.pyannote[3172].end |
16844.38596875 |
transcript.pyannote[3173].speaker |
SPEAKER_06 |
transcript.pyannote[3173].start |
16844.67284375 |
transcript.pyannote[3173].end |
16846.69784375 |
transcript.pyannote[3174].speaker |
SPEAKER_06 |
transcript.pyannote[3174].start |
16849.97159375 |
transcript.pyannote[3174].end |
16850.35971875 |
transcript.pyannote[3175].speaker |
SPEAKER_06 |
transcript.pyannote[3175].start |
16850.46096875 |
transcript.pyannote[3175].end |
16850.69721875 |
transcript.pyannote[3176].speaker |
SPEAKER_21 |
transcript.pyannote[3176].start |
16850.69721875 |
transcript.pyannote[3176].end |
16851.57471875 |
transcript.pyannote[3177].speaker |
SPEAKER_06 |
transcript.pyannote[3177].start |
16851.57471875 |
transcript.pyannote[3177].end |
16852.65471875 |
transcript.pyannote[3178].speaker |
SPEAKER_21 |
transcript.pyannote[3178].start |
16853.12721875 |
transcript.pyannote[3178].end |
16854.03846875 |
transcript.pyannote[3179].speaker |
SPEAKER_06 |
transcript.pyannote[3179].start |
16854.03846875 |
transcript.pyannote[3179].end |
16854.81471875 |
transcript.pyannote[3180].speaker |
SPEAKER_21 |
transcript.pyannote[3180].start |
16854.66284375 |
transcript.pyannote[3180].end |
16854.78096875 |
transcript.pyannote[3181].speaker |
SPEAKER_21 |
transcript.pyannote[3181].start |
16854.81471875 |
transcript.pyannote[3181].end |
16855.18596875 |
transcript.pyannote[3182].speaker |
SPEAKER_06 |
transcript.pyannote[3182].start |
16855.18596875 |
transcript.pyannote[3182].end |
16856.09721875 |
transcript.pyannote[3183].speaker |
SPEAKER_21 |
transcript.pyannote[3183].start |
16855.25346875 |
transcript.pyannote[3183].end |
16855.70909375 |
transcript.pyannote[3184].speaker |
SPEAKER_21 |
transcript.pyannote[3184].start |
16855.92846875 |
transcript.pyannote[3184].end |
16856.06346875 |
transcript.pyannote[3185].speaker |
SPEAKER_21 |
transcript.pyannote[3185].start |
16856.09721875 |
transcript.pyannote[3185].end |
16857.73409375 |
transcript.pyannote[3186].speaker |
SPEAKER_06 |
transcript.pyannote[3186].start |
16857.73409375 |
transcript.pyannote[3186].end |
16859.40471875 |
transcript.pyannote[3187].speaker |
SPEAKER_21 |
transcript.pyannote[3187].start |
16857.75096875 |
transcript.pyannote[3187].end |
16857.97034375 |
transcript.pyannote[3188].speaker |
SPEAKER_21 |
transcript.pyannote[3188].start |
16857.98721875 |
transcript.pyannote[3188].end |
16858.00409375 |
transcript.pyannote[3189].speaker |
SPEAKER_06 |
transcript.pyannote[3189].start |
16860.31596875 |
transcript.pyannote[3189].end |
16860.72096875 |
transcript.pyannote[3190].speaker |
SPEAKER_01 |
transcript.pyannote[3190].start |
16860.72096875 |
transcript.pyannote[3190].end |
16861.27784375 |
transcript.pyannote[3191].speaker |
SPEAKER_01 |
transcript.pyannote[3191].start |
16863.11721875 |
transcript.pyannote[3191].end |
16863.64034375 |
transcript.pyannote[3192].speaker |
SPEAKER_01 |
transcript.pyannote[3192].start |
16863.69096875 |
transcript.pyannote[3192].end |
16865.61471875 |
transcript.pyannote[3193].speaker |
SPEAKER_06 |
transcript.pyannote[3193].start |
16864.99034375 |
transcript.pyannote[3193].end |
16867.33596875 |
transcript.pyannote[3194].speaker |
SPEAKER_01 |
transcript.pyannote[3194].start |
16866.12096875 |
transcript.pyannote[3194].end |
16869.31034375 |
transcript.pyannote[3195].speaker |
SPEAKER_03 |
transcript.pyannote[3195].start |
16867.33596875 |
transcript.pyannote[3195].end |
16867.35284375 |
transcript.pyannote[3196].speaker |
SPEAKER_06 |
transcript.pyannote[3196].start |
16868.90534375 |
transcript.pyannote[3196].end |
16871.09909375 |
transcript.pyannote[3197].speaker |
SPEAKER_27 |
transcript.pyannote[3197].start |
16869.31034375 |
transcript.pyannote[3197].end |
16869.32721875 |
transcript.pyannote[3198].speaker |
SPEAKER_01 |
transcript.pyannote[3198].start |
16869.32721875 |
transcript.pyannote[3198].end |
16869.51284375 |
transcript.pyannote[3199].speaker |
SPEAKER_03 |
transcript.pyannote[3199].start |
16870.10346875 |
transcript.pyannote[3199].end |
16870.20471875 |
transcript.pyannote[3200].speaker |
SPEAKER_04 |
transcript.pyannote[3200].start |
16870.20471875 |
transcript.pyannote[3200].end |
16870.28909375 |
transcript.pyannote[3201].speaker |
SPEAKER_03 |
transcript.pyannote[3201].start |
16870.28909375 |
transcript.pyannote[3201].end |
16870.42409375 |
transcript.pyannote[3202].speaker |
SPEAKER_04 |
transcript.pyannote[3202].start |
16870.42409375 |
transcript.pyannote[3202].end |
16870.47471875 |
transcript.pyannote[3203].speaker |
SPEAKER_01 |
transcript.pyannote[3203].start |
16870.60971875 |
transcript.pyannote[3203].end |
16870.77846875 |
transcript.pyannote[3204].speaker |
SPEAKER_27 |
transcript.pyannote[3204].start |
16871.09909375 |
transcript.pyannote[3204].end |
16871.18346875 |
transcript.pyannote[3205].speaker |
SPEAKER_06 |
transcript.pyannote[3205].start |
16871.18346875 |
transcript.pyannote[3205].end |
16871.20034375 |
transcript.pyannote[3206].speaker |
SPEAKER_27 |
transcript.pyannote[3206].start |
16871.20034375 |
transcript.pyannote[3206].end |
16873.20846875 |
transcript.pyannote[3207].speaker |
SPEAKER_27 |
transcript.pyannote[3207].start |
16873.32659375 |
transcript.pyannote[3207].end |
16873.36034375 |
transcript.pyannote[3208].speaker |
SPEAKER_06 |
transcript.pyannote[3208].start |
16873.36034375 |
transcript.pyannote[3208].end |
16874.98034375 |
transcript.pyannote[3209].speaker |
SPEAKER_27 |
transcript.pyannote[3209].start |
16873.66409375 |
transcript.pyannote[3209].end |
16873.81596875 |
transcript.pyannote[3210].speaker |
SPEAKER_27 |
transcript.pyannote[3210].start |
16874.98034375 |
transcript.pyannote[3210].end |
16878.06846875 |
transcript.pyannote[3211].speaker |
SPEAKER_27 |
transcript.pyannote[3211].start |
16878.22034375 |
transcript.pyannote[3211].end |
16879.31721875 |
transcript.pyannote[3212].speaker |
SPEAKER_22 |
transcript.pyannote[3212].start |
16878.37221875 |
transcript.pyannote[3212].end |
16879.51971875 |
transcript.pyannote[3213].speaker |
SPEAKER_27 |
transcript.pyannote[3213].start |
16879.45221875 |
transcript.pyannote[3213].end |
16879.50284375 |
transcript.pyannote[3214].speaker |
SPEAKER_27 |
transcript.pyannote[3214].start |
16879.51971875 |
transcript.pyannote[3214].end |
16880.02596875 |
transcript.pyannote[3215].speaker |
SPEAKER_22 |
transcript.pyannote[3215].start |
16880.56596875 |
transcript.pyannote[3215].end |
16884.59909375 |
transcript.pyannote[3216].speaker |
SPEAKER_03 |
transcript.pyannote[3216].start |
16880.93721875 |
transcript.pyannote[3216].end |
16881.98346875 |
transcript.whisperx[0].start |
108.353 |
transcript.whisperx[0].end |
110.563 |
transcript.whisperx[0].text |
MING PAO CANADA 字幕組 |
transcript.whisperx[1].start |
1716.887 |
transcript.whisperx[1].end |
1729.598 |
transcript.whisperx[1].text |
好報告委員會出席委員已經達到法定人數現在開會請議事人員宣讀上次會議議事錄立法院第11屆第1會期社會福利及衛生環境委員會第3次全體委員會議議事錄時間113年3月6日星期三9時1分至13時33分地點群賢樓801會議室出席委員陳金輝等15人 |
transcript.whisperx[2].start |
1740.467 |
transcript.whisperx[2].end |
1761.222 |
transcript.whisperx[2].text |
列席委員洪孟楷等21人.列席官員勞動部部長許明春等相關人員.主席王兆吉委員喻敏.報告事項.宣讀上次會議議事錄.決定確定.邀請勞動部部長.外交部勞動力發展署.衛生福利部.內政部國家安全局就我國開放印度移工.對本國勞工就業市場之衝擊進行專題報告.並備質詢。. |
transcript.whisperx[3].start |
1765.185 |
transcript.whisperx[3].end |
1784.795 |
transcript.whisperx[3].text |
本次會議由勞動部部長報告後.委員蘇清泉等24人提出質詢.均經勞動部部長.外交部亞東太平洋司副司長許書智.及衛生福利部長期照顧司司長祝建方.及各相關主管等及其答覆.委員王洪維及陳冠廷所提書面質詢.列入紀錄刊登公報. |
transcript.whisperx[4].start |
1785.675 |
transcript.whisperx[4].end |
1814.737 |
transcript.whisperx[4].text |
決定一報告及詢答完畢二委員質詢未及答覆或請補充資料者請相關機關於二周內以書面答覆委員令要求期限者從其鎖定通過臨時提案四項宣讀完畢好請問委員會上次議事錄有沒有錯誤或遺漏之處若沒有的話我們議事錄確定那本日會議議程為邀請衛生福利部部長、中央健保署、食品藥物管理署就 |
transcript.whisperx[5].start |
1816.003 |
transcript.whisperx[5].end |
1822.127 |
transcript.whisperx[5].text |
那我們現在介紹今天在場的委員及列席官員陳昭之委員林月琴委員王振旭委員陳金輝委員那我們接下來介紹官員衛福部 |
transcript.whisperx[6].start |
1844.384 |
transcript.whisperx[6].end |
1861.059 |
transcript.whisperx[6].text |
剛進來蘇清泉委員那接下來介紹列席官員衛福部薛瑞元部長中央健保署石崇良署長食藥署吳秀美署長好那接下來我們就請薛部長進行5分鐘的報告 |
transcript.whisperx[7].start |
1881.341 |
transcript.whisperx[7].end |
1894.308 |
transcript.whisperx[7].text |
主席、各位委員、女士先生本部今日受邀到委員會這邊來進行專案報告,個人深感榮幸以下僅就本部執行健保藥價調整及藥品停產的原因作為 |
transcript.whisperx[8].start |
1896.269 |
transcript.whisperx[8].end |
1916.591 |
transcript.whisperx[8].text |
的因應作為提出報告,進行各位委員指教。現行的藥品支付制度是根據《全民健康保險法》規定由特約醫事服務機構根據《全民健康保險藥物及服務項目及支付標準》所規定的價格向本部健保署申請藥費。 |
transcript.whisperx[9].start |
1918.112 |
transcript.whisperx[9].end |
1941.1 |
transcript.whisperx[9].text |
那健保署透過定期調查各個醫事機構的藥品實際的交易價格取得藥品市場的交易價格那並且依據調查的結果將醫藥雙方議價的結果反映在藥品支付價格的調降以控制藥費在合理的範圍來準決健保費用的支出 |
transcript.whisperx[10].start |
1942.761 |
transcript.whisperx[10].end |
1968.158 |
transcript.whisperx[10].text |
從102年起本部每年辦理全民健康保險藥品費用分配比例目標制也就是所謂的第一梯今年第一梯的藥價調整金額是55.3億元調整的時候已經考慮到基本藥物的品項還有條件的幅度、基本價的保障以及 |
transcript.whisperx[11].start |
1969.079 |
transcript.whisperx[11].end |
1975.806 |
transcript.whisperx[11].text |
藥品供應情形等因素檢討的藥品一共有14000項其中有9500項沒有調整只有4500項的藥品調整調整的品項數是從102年來時是第一梯級那是最少的一次近年來因為 |
transcript.whisperx[12].start |
1991.26 |
transcript.whisperx[12].end |
2017.431 |
transcript.whisperx[12].text |
疫情、二污戰爭、鴻海事件、全球藥品短缺等因素.增加藥品穩定供應的不確定性.國內也因應解封、免疫負債等因素.呼吸道跟腸胃道傳染病的病人增加.如流感、COVID-19、腸病毒等.使用藥需求增加.為了保障民眾用藥的權益. |
transcript.whisperx[13].start |
2018.672 |
transcript.whisperx[13].end |
2037.243 |
transcript.whisperx[13].text |
我自101年起逐步健全藥品短缺處理的機制包括完善法規的管理、建立通報案件的評估機制強化短缺資訊的傳遞等等對於個別藥品短缺的事件 |
transcript.whisperx[14].start |
2039.585 |
transcript.whisperx[14].end |
2046.853 |
transcript.whisperx[14].text |
結條供應藥品與通報的機構還有公布替代藥品的資訊公開徵求專案輸入或製造並在112年7月委託藥師公會全面會 |
transcript.whisperx[15].start |
2055.176 |
transcript.whisperx[15].end |
2068.394 |
transcript.whisperx[15].text |
協助藥局間的藥品調度112年8月啟動流行性疾病用藥的準備112年11月公告擴大必要藥品清單 |
transcript.whisperx[16].start |
2069.335 |
transcript.whisperx[16].end |
2074.179 |
transcript.whisperx[16].text |
113年1月建制完成藥品供應監測資訊系統並持續鼓勵藥廠增加原料藥籍來源及儲備並推廣國產學名藥健保署從112年起啟動健保藥價藥品政策改革規劃方向包括藥價不偏離國際提升 |
transcript.whisperx[17].start |
2100.131 |
transcript.whisperx[17].end |
2127.084 |
transcript.whisperx[17].text |
提升學名藥的競爭力鼓勵在台製造新藥學名藥及鼓勵使用生物相似性的藥品以及加強健保新藥的收載提升病人用藥的可進性等等變同修正全民健康保險藥物幾乎項目及支付標準跟全民健康保險藥品價格調整的 |
transcript.whisperx[18].start |
2129.125 |
transcript.whisperx[18].end |
2139.489 |
transcript.whisperx[18].text |
作業辦法,針對外界關心的第一批事辦方案,未來也會邀請相關團體來研議,並凝聚共識之後來做調整。 |
transcript.whisperx[19].start |
2148.446 |
transcript.whisperx[19].end |
2166.828 |
transcript.whisperx[19].text |
隨著醫療科技的進步,健保逐年增加預算來加速引進新藥,提高民眾使用新藥的可進性,並透過藥價調整機制,讓健保有餘力收納新藥,確保健保永續,達到全民健康。 |
transcript.whisperx[20].start |
2169.918 |
transcript.whisperx[20].end |
2197.545 |
transcript.whisperx[20].text |
也另外著手推動健保藥品政策的改革.並嚴厲輔導、獎勵國內藥廠投入或擴充生產的措施.以達到合理調整藥品的價格.那扶植國產的學名藥.那確保民眾用藥權益的三顏.所以請大院各委員持續給我們指教及監督在這裡謝謝 |
transcript.whisperx[21].start |
2199.005 |
transcript.whisperx[21].end |
2222.98 |
transcript.whisperx[21].text |
好 謝謝部長的一個報告有關本次會議各項書面資料均列入紀錄刊登公報那現在開始詢答做以下宣告本會委員會詢答時間6加2分鐘列席委員4分鐘10點30分截止發言登記委員如有書面質詢請於三會前提出預期不受理 |
transcript.whisperx[22].start |
2223.78 |
transcript.whisperx[22].end |
2238.511 |
transcript.whisperx[22].text |
暫定10點30分休息5分鐘原則上11點30分處理臨時提案如有提案請盡早提出以立議事進行現在我們就請登記第一位的委員陳昭之委員進行發言有請薛部長好有請部長委員好 |
transcript.whisperx[23].start |
2253.547 |
transcript.whisperx[23].end |
2273.262 |
transcript.whisperx[23].text |
部長我想請教分級醫療還在嗎?健保開辦29年前就開始規劃分級醫療到今天健保署的網站上還有這些宣傳分級醫療處兵好醫書、社區好便宜 |
transcript.whisperx[24].start |
2274.642 |
transcript.whisperx[24].end |
2291.402 |
transcript.whisperx[24].text |
但是分級醫療離事實越來越遠甚至遙不可及我想部長你也心知肚明只是不知道部長你是無心去改變還是無力去改變這個分級醫療本來就是在就是還在部長我為什麼告訴你它是還在嗎下一張 |
transcript.whisperx[25].start |
2294.98 |
transcript.whisperx[25].end |
2313.167 |
transcript.whisperx[25].text |
部長請你看這個示意圖健保開辦的時候1995年醫學中心13家區醫院48家地區醫院568家這是一個正三角形非常健康的醫療結構25年後醫學中心增加兩倍區醫院增加一倍半地區醫院腰斬了 |
transcript.whisperx[26].start |
2314.395 |
transcript.whisperx[26].end |
2316.917 |
transcript.whisperx[26].text |
這是什麼形狀?好我請部長來預測部長在10年20年後您覺得我們會走向哪一個部分?分級醫療少了最底層的一個基層的診所 |
transcript.whisperx[27].start |
2327.086 |
transcript.whisperx[27].end |
2330.207 |
transcript.whisperx[27].text |
我認為健保制度帶動了造成今天的狀況為什麼呢因為健保制度的設計它會誘引醫療行為也會改變民眾的就醫行為往下 |
transcript.whisperx[28].start |
2358.083 |
transcript.whisperx[28].end |
2370.444 |
transcript.whisperx[28].text |
部長,您選醫學中心還不夠多嗎?這一次你一口氣增加了三家醫學中心,引起很大的爭議加速是不是要限制這個是可以討論的 |
transcript.whisperx[29].start |
2371.377 |
transcript.whisperx[29].end |
2377.601 |
transcript.whisperx[29].text |
部長,您不知道一來往的設計是200萬人一家醫學中心嗎?好,你這次有很多的爭議,這有很多的爭議,請你再關懲署,延宕,這不是理由,延宕公布時間,本來在去年年底應該公布,後來到大選後公布第二個,你改變了遊戲規則,說沒有鑑別度,有差距,你沒考過聯考嗎?聯考同分的時候是比其他各位,你這還有差距欸 |
transcript.whisperx[30].start |
2396.972 |
transcript.whisperx[30].end |
2423.844 |
transcript.whisperx[30].text |
你增加了三家醫學中心你增加三家醫學中心你弱化了分級醫療你讓民眾負擔增加你讓健保點子下降你讓這個已經不足的護理人員重新二項的重新分配健保點子下降不是這個原因啦護理人員的這個缺少也不是這個原因啦部長請幾位系出同門全候任的這個重要人物捫心自問 |
transcript.whisperx[31].start |
2425.205 |
transcript.whisperx[31].end |
2438.895 |
transcript.whisperx[31].text |
究竟受益者是誰?一下子參加三家醫學中心臺灣醫務管理學會紅理事長說外服部此舉是模糊的排名概念是為了某些醫院某些體系的怕他們太沒面子了 |
transcript.whisperx[32].start |
2443.151 |
transcript.whisperx[32].end |
2468.216 |
transcript.whisperx[32].text |
藥價調整是有法源依據的它是應該根據市場的交易情形合理調整但是我要請問交易情形交易情形都是能力都一樣嗎?溢價能力都一樣嗎?臺灣400多家醫院的溢價能力都一樣嗎?當然不一樣大者恆大、強者恆強、弱者恆弱什麼叫合理的調整價格呢?每位醫師要是罹患高血壓都會吃麥優麥優15年來降了實現了兩成的藥價 |
transcript.whisperx[33].start |
2473.275 |
transcript.whisperx[33].end |
2483.642 |
transcript.whisperx[33].text |
萬物皆漲,唯有藥品該疊。各行各業,營業額增加,整個都是喜事。唯有藥費,整體藥費增加,說注定是悲劇。好,我們來看,藥價調整的目的達標了嗎?我們先來看藥價差這個問題。曾經在2016年,8年了。 |
transcript.whisperx[34].start |
2497.495 |
transcript.whisperx[34].end |
2522.435 |
transcript.whisperx[34].text |
監察院有過糾正案藥價差為離地明確的合理藥價差比率藥品核佳機制不足執行全民健保藥價調整機制效能不彰這個造成這個也是監察院的文字以藥養育扭曲了醫療生態你到底是要做這個藥價調漲還是實質組長說過這個藥品供應因素很多這個是矛盾的 |
transcript.whisperx[35].start |
2523.476 |
transcript.whisperx[35].end |
2545.433 |
transcript.whisperx[35].text |
但是我也要告訴你們藥費成長也不能單方面歸功於價格藥費成長至少還有人口老化癌重症病人增加通貨膨脹與物料成本提高研發成本提高研發的規格也提高了所以這幾年的這個藥價調降造成很嚴重的後果當然包括缺藥供藥的這個穩定性換藥第一線不斷的換藥這是不對的說法 |
transcript.whisperx[36].start |
2548.075 |
transcript.whisperx[36].end |
2556.843 |
transcript.whisperx[36].text |
你藥價一直調降,能夠維持品質嗎?你跟我講一下哪一個藥品質看力?我請問你,如果我年年砍你的薪水,你還能維持你原來的生活品質嗎?你跟我講說哪一個藥品質看力?你是專家我們來看藥價調整,下一個我們來看目的,藥價調整的目的有沒有達標第一個,縮小藥價差距部長你知道每年的藥價差有多少錢嗎? |
transcript.whisperx[37].start |
2575.462 |
transcript.whisperx[37].end |
2590.523 |
transcript.whisperx[37].text |
差不多在四五百億左右啦部長不錯你還講出了一個數字我本來想問你是四百億還是五百億還是六百億還是七百億你大概知道我講話不是沒有根據的第一個他達到縮小要加他的目的嗎 |
transcript.whisperx[38].start |
2591.67 |
transcript.whisperx[38].end |
2596.451 |
transcript.whisperx[38].text |
沒有,好,這個沒達標,那個目的有下來,有下來結成了藥費作為給付新藥跟放快藥品給付的裁員抱歉,全台灣只有我有這個完整的數字我們的新藥等待其實越來越長我們的藥品給付是越限越嚴重、越限縮台灣只有台灣發明這個給付方法哎呀,只能用幾個月幾個療程,全世界沒有人這樣做的 |
transcript.whisperx[39].start |
2614.276 |
transcript.whisperx[39].end |
2641.414 |
transcript.whisperx[39].text |
全世界都用到這個要病情惡化為什麼呢?因為錢不夠我知道錢不夠錢不夠那社會委員的主張到底是什麼我實在是聽不出來下一張你是不要調藥價還是要調藥價我在第一張投影片其實有答案了但是來來跑這裡大家都說台灣人愛吃藥我不認為欸大家都在看那個百分比百分之二十五、二十六、二十七、二十八台灣人真的愛吃藥嗎不要比那個好不好整個專業費用服務太低了 |
transcript.whisperx[40].start |
2642.515 |
transcript.whisperx[40].end |
2662.639 |
transcript.whisperx[40].text |
一個扭曲數字翻譜那麼低然後藥品好像佔率很高結果是以藥養醫其實如果我們回到GDP藥品的GDP佔我們才1.1日本1.6南韓1.3如果我再把藥價差再扣掉的話當然實際上不會有這麼理想的狀況只是那0.7以藥養醫部長這個挖東牆補西牆東牆要倒了西牆還能撐住嗎 |
transcript.whisperx[41].start |
2672.23 |
transcript.whisperx[41].end |
2672.49 |
transcript.whisperx[41].text |
這個牆已經快倒了 |
transcript.whisperx[42].start |
2687.49 |
transcript.whisperx[42].end |
2696.899 |
transcript.whisperx[42].text |
這個以藥養醫是過去的這一個部分是比較多的那目前的藥價差是有在下降我已經告訴你藥價差啦你講的414大概是10年前的藥價差是有藥價差,仍然存在是沒有錯這兩張圖我要問衛福部我要問衛福部我一直在追蹤這兩張圖為什麼在去年之前臺灣的醫療衛生支出佔GDP都是6點多 |
transcript.whisperx[43].start |
2710.971 |
transcript.whisperx[43].end |
2738.187 |
transcript.whisperx[43].text |
突然間現在變成7.5這麼巧這麼巧在去年的大選有在野的總統候選人他要求我們把投資健康投資要提高提高到8%剛好你串出來就是7.5這麼多年都是6然後還來一個校正回歸96年到110年全部校正你放了他這麼久你突然間去做修正好一個校正回歸啊 |
transcript.whisperx[44].start |
2741.92 |
transcript.whisperx[44].end |
2747.344 |
transcript.whisperx[44].text |
請問你為什麼在算新藥新科技的財務衝擊時不能夠把這個新藥新科技帶來的可能的長照的費用減少也扣除呢這是兩標標準啊雙標啊請問你這個這兩個你這邊要算這邊就要算部長你不要跟我爭辯我在那個委員會29年好我們看最後一張 |
transcript.whisperx[45].start |
2773.141 |
transcript.whisperx[45].end |
2789.929 |
transcript.whisperx[45].text |
所以要告訴部長有29年錯的都還是錯啦告訴部長齁這個整個醫療支出的占比齁你要算6.1齁你要改成7.5都沒關係我只是要告訴你還是輸人家很多你7.5人家韓南還是9.7你算6.1說韓國是8% |
transcript.whisperx[46].start |
2795.905 |
transcript.whisperx[46].end |
2819.592 |
transcript.whisperx[46].text |
所以這個是健康投資整個不足健康投資不足我知道部長是部長以上都要去負這個責任好嗎健康投資是不足但是政府還不承認健康投資不足好我們再看右邊管理呢管理有沒有適當醫院評鑑內幕重重分級醫療蕩然無存藥價調整慘不忍睹管理的不當這個要指出事實出來部長可能要根據這個診斷去參考未來怎麼治療怎麼進行好 |
transcript.whisperx[47].start |
2825.973 |
transcript.whisperx[47].end |
2833.421 |
transcript.whisperx[47].text |
健康投資不足、醫療管理不當請別把藥品當作祭品好,謝謝部長好,我們謝謝陳昭之委員的發言接下來我們請陳金輝委員進行諮詢 |
transcript.whisperx[48].start |
2856.084 |
transcript.whisperx[48].end |
2876.623 |
transcript.whisperx[48].text |
大家好先邀請部長跟小署署長好請部長跟署長午安好早安大家好今天先問一個全國家長都滿關心的議題啊因為早上家長群組已經爆了 |
transcript.whisperx[49].start |
2878.022 |
transcript.whisperx[49].end |
2898.821 |
transcript.whisperx[49].text |
這個相信大家早上都已經看到新聞了食藥署告訴我們大家說目前蘇丹紅的風暴不保證市場沒問題不保證市場沒問題變成我們的教育局在關心所有的小朋友教育局已經說三個月所以各位覺得三個月這樣子的時間夠嗎 |
transcript.whisperx[50].start |
2901.142 |
transcript.whisperx[50].end |
2923.358 |
transcript.whisperx[50].text |
跟委員報告,蘇丹紅這件事情其實是他本質是辣椒粉辣椒粉因為在國內的話,國人吃辣的習慣是很普遍的所以我沒有辦法說一下子把所有的辣椒粉通通禁掉是不可能,而中國那邊進口的辣椒粉是佔全部的80% |
transcript.whisperx[51].start |
2925.417 |
transcript.whisperx[51].end |
2937.87 |
transcript.whisperx[51].text |
最近這幾家有問題的21家它佔了50%以上所以就必須要很細緻的去查還有5家還沒查到嗎?還沒查完啊?我們都還是繼續往下查 |
transcript.whisperx[52].start |
2940.453 |
transcript.whisperx[52].end |
2963.145 |
transcript.whisperx[52].text |
所以這個是必須要這樣做,因為你必須要確定它合格跟不合格,不合格當然就不准上市把它封存,但是合格你還是要讓它出所以署長會覺得3個月夠嗎?我們保護兒童3個月夠嗎?可以,我們會努力在這段時間完成好,那引起軒然大波,署長會覺得需要稍微跟大家道歉一下嗎? |
transcript.whisperx[53].start |
2964.953 |
transcript.whisperx[53].end |
2985.569 |
transcript.whisperx[53].text |
我想這個跟道歉沒有什麼關係,因為我們都努力,盡力在做這個事情當然這個不完備的地方我們可以再來做修正人力不足,好,了解了解接下來我也滿關心剛剛陳昭芝委員問到的其實今天在這邊跟,署長可以結束了 |
transcript.whisperx[54].start |
2986.329 |
transcript.whisperx[54].end |
3014.833 |
transcript.whisperx[54].text |
今天跟部長在這邊面對面真的很難過因為我跟您跟石三個人長期有這麼多醫護同仁的同學朋友大家都知道問題在哪裡根本不需要講這麼多不管是缺藥五大皆空我們健保就一碗飯你今天兒科的人吃不飽你就給兒科多吃一點別科的人餓得要死現在覺得醫生都好餓喔所以 |
transcript.whisperx[55].start |
3015.453 |
transcript.whisperx[55].end |
3034.743 |
transcript.whisperx[55].text |
剪刀藥價然後這個藥廠吃不飽再來就是護理師吃不飽你就是一樣啊我跟陳昭之委員的想法一樣挖東牆補西牆但是我們三個人其實都完全知道問題在哪裡可是您對於這個有解方嗎 |
transcript.whisperx[56].start |
3036.837 |
transcript.whisperx[56].end |
3059.633 |
transcript.whisperx[56].text |
基本上這是一個必然會存在的一個現象因為如果我們健保收取的這個保費就是固定那一些的話那這個不可避免一定會有互相排擠的現象會出來那現在只是說哪一個部分的話是要讓它比較合理而不是說一定是要把它砍下來 |
transcript.whisperx[57].start |
3060.934 |
transcript.whisperx[57].end |
3088.799 |
transcript.whisperx[57].text |
所以剛剛陳教授委員在問的時候我不太同意的地方就是這樣因為你如果單從藥這一件事情去看的話就會以偏看前所以你今天護病比、缺護理師、想要招收護理師又突然突襲我們、突襲全國人民、漲掛號費其實這些全部都是環環相扣的,您覺得呢?漲掛號費是另外一件事情那是另外一件事情我相信這個問題 |
transcript.whisperx[58].start |
3090.399 |
transcript.whisperx[58].end |
3106.262 |
transcript.whisperx[58].text |
所有人、所有記者都已經問過部長了啦你覺得我們113年、112年的目標你會希望我們的醫療支出達到多少嗎?因為這件事看起來十幾年來就是6點多嘛 |
transcript.whisperx[59].start |
3107.203 |
transcript.whisperx[59].end |
3133.379 |
transcript.whisperx[59].text |
我跟委員報告那如果用GDP去算的話是有風險的因為GDP會高會低那不是永遠都是往上走的那所以一般來講用GDP那只是一個參考的指標那如果說我們有沒有一個面向來看的話就是一個目標來做處理的話我們當然是逐步的能夠上漲那我們希望說未來的3、4年能夠拉到8% |
transcript.whisperx[60].start |
3138.003 |
transcript.whisperx[60].end |
3157.843 |
transcript.whisperx[60].text |
臺灣人是非常非常倚重健保我們跟其他國家不一樣其他國家也許一個收入以上一定需要商保你看我們臺灣公部門的醫療支出是3.9%表示說我們這個不管你說6還是7還是8很多都是大家自掏腰包自費出來 |
transcript.whisperx[61].start |
3159.488 |
transcript.whisperx[61].end |
3160.108 |
transcript.whisperx[61].text |
你對這個3.9有印象嗎? |
transcript.whisperx[62].start |
3187.661 |
transcript.whisperx[62].end |
3215.988 |
transcript.whisperx[62].text |
我的印象中現在應該不止3年9所以我們其實不及格只是在比45分還是50分對我們已經從45分不能這樣講因為每一個國家的這個制度不一樣你說像英國這種公益系統他就擺幾乎百分之一百都是公部門的這個是部長您說的你說這個6.6太低了剛剛陳道志有說你後來把它加一加變成7.5然後預計可以到8 |
transcript.whisperx[63].start |
3217.208 |
transcript.whisperx[63].end |
3217.228 |
transcript.whisperx[63].text |
委員會議 |
transcript.whisperx[64].start |
3228.444 |
transcript.whisperx[64].end |
3249.977 |
transcript.whisperx[64].text |
這部分的話,因為我們也正在跟主席總署這邊來做一個調整那另外的話,在今年我們會派一個訪問團到OECD那邊去希望就是說,跟他們的這個數據的來源是可比較性的,能夠比較一致的對,所以您預計要調整到 |
transcript.whisperx[65].start |
3255.342 |
transcript.whisperx[65].end |
3283.706 |
transcript.whisperx[65].text |
就剛那個7.5嘛然後你說年底前完成估算並會推出相關政策過年已經過完年的你的相關政策是就是要成立一個訪問團對我們要先跟OECD因為現在大家在用的都OECD的這一個比較但是OECD跟我們並沒有直接的關係啦所以他所取用的這個data的來源是什麼樣子的話我們並不清楚所以我們必須要跟他能夠接軌接軌才知道 |
transcript.whisperx[66].start |
3284.686 |
transcript.whisperx[66].end |
3286.467 |
transcript.whisperx[66].text |
為何大家不願意用這個資訊平台? |
transcript.whisperx[67].start |
3308.127 |
transcript.whisperx[67].end |
3320.759 |
transcript.whisperx[67].text |
這沒有什麼理由,因為這個如果對一般人來講的話,可能他是一個比較困難去處理,但是你這個專業人員不能講這樣子我有一些藥我已經長期開不出來了,放棄了,第一 |
transcript.whisperx[68].start |
3325.383 |
transcript.whisperx[68].end |
3347.843 |
transcript.whisperx[68].text |
這個平台他告訴你有什麼替代藥這個我們應該都知道我們自己也知道有什麼替代藥第二我們告訴了這個平台以後呢這個平台就是公開徵求願意供應的廠商大家看這個這個頁面上有這麼多廠商但是你跟我們說沒有缺藥那何必要徵求這些供應的廠商呢 |
transcript.whisperx[69].start |
3348.463 |
transcript.whisperx[69].end |
3367.914 |
transcript.whisperx[69].text |
這時候有缺的,有缺的我們就會公開徵求,那大部分都已經徵求的到了,那現在只有一個藥,這個藥是屬於合一的這個診斷用藥,所以只有這個目前還缺,但是在3月過後的話,合原所都就可以來恢復來供應。 |
transcript.whisperx[70].start |
3369.522 |
transcript.whisperx[70].end |
3396.911 |
transcript.whisperx[70].text |
最後沒關係我只剩2分鐘最後我提出來的疑問還是跟許多我們醫藥界的前輩一樣啊我們看醫院他因為收入不穩定嘛他不知道今年的點數是多少藥價差對他來說是最穩定的所以他就簽合約囤藥因此你們都有一個假象我們沒有缺藥因為藥就在大醫院啊就是剛講到的醫學中心區醫院啊 |
transcript.whisperx[71].start |
3397.751 |
transcript.whisperx[71].end |
3418.334 |
transcript.whisperx[71].text |
那健保調整藥價點值下降所以影響的是最左邊最可憐的基層的診所基層的藥局還有一般民眾大家現在他領不到藥好也許關號費又調整了他可能要打電話打個十幾二十通去看住家附近哪一家比較適合他看因為他也不知道也沒有公告 |
transcript.whisperx[72].start |
3419.295 |
transcript.whisperx[72].end |
3428.128 |
transcript.whisperx[72].text |
然後最後呢他開了一個藥他必須要長途跋涉也許到醫學中心去領所以部長這可能是未來您要面對的一個大衝擊 |
transcript.whisperx[73].start |
3430.229 |
transcript.whisperx[73].end |
3456.596 |
transcript.whisperx[73].text |
這個基層的診所藥局的話的缺藥的話其實他們應該要做通報因為通報我們就有辦法去做處理沒有通報我們怎麼會知道那全國有幾萬家 他們已經自求多福了你知道他們已經自己互相在換藥 為了要自求多福所以要通報啊不然你自己又沒有能力來處理那你跟媒體講有什麼用 媒體又不能幫你調藥今天你的喉嚨看起來不是很舒服所以我們就先這樣子 謝謝部長謝謝 謝謝 |
transcript.whisperx[74].start |
3460.219 |
transcript.whisperx[74].end |
3469.525 |
transcript.whisperx[74].text |
好,請部長多喝水,你看起來今天好像身體微恙。好,那謝謝陳金輝委員。接下來我們請林月琴委員進行質詢。好,請部長。委員好。好。 |
transcript.whisperx[75].start |
3487.352 |
transcript.whisperx[75].end |
3499.915 |
transcript.whisperx[75].text |
部長好,剛剛你有提到有4568項藥品要調整可是你沒有提到的是其中3590項的藥品事實上是國內藥廠生產的佔了78.6%可是金額是佔了35%可是輸入藥品也就是進口的藥品978項可是竟然佔了21.4% |
transcript.whisperx[76].start |
3513.015 |
transcript.whisperx[76].end |
3539.865 |
transcript.whisperx[76].text |
可是金額佔了65%那這個調整金額如果比同時就反映了一件事情就是說這樣的一個佔比同時反映一種事情就是我們的學民藥跟我們的原廠藥的市場佔有率可是本席認為進口藥商、國內藥商跟通路本來就不應該是對立的那問題出在我們的健保的那個藥費的制度歐美先進國家那的確他們有專業技術 |
transcript.whisperx[77].start |
3541.038 |
transcript.whisperx[77].end |
3554.191 |
transcript.whisperx[77].text |
然後可是專利期過後國內的藥廠生產的學名藥應該是會有更穩定的供應還有呢藥價是比較低的還有他還有個國安問題如果一旦 |
transcript.whisperx[78].start |
3555.03 |
transcript.whisperx[78].end |
3576.873 |
transcript.whisperx[78].text |
有狀況的時候他可以提供用藥可是現行的我們的藥品費用的支出目標制設定我們的健保費用的支出目標每年壓低藥價然後用量越低藥價越低那造成學名藥根本就沒有利潤最後就是退場退場的結果就是反而我們人民可能會用到的是品質價差的藥所以想問部長 |
transcript.whisperx[79].start |
3578.362 |
transcript.whisperx[79].end |
3599.205 |
transcript.whisperx[79].text |
以藥品費用支出目標制來管制我們的藥費的目的在於我們的控制健保的藥費支出可總不能在缺藥的時候產生危機所以不知道健保署這邊有沒有因應的對策對策是什麼我先跟委員說明我非常贊同委員所說的這個會影響到國安因為一旦是 |
transcript.whisperx[80].start |
3601.226 |
transcript.whisperx[80].end |
3624.852 |
transcript.whisperx[80].text |
如果你完全仰賴原廠藥的話那一旦這個輸入的路徑有受到影響的時候我們馬上就缺藥所以國內的廠商要扶植起來做學名藥那現在剛剛委員提的那個比例是對的因為我們現在是對於原廠藥過專利期的是砍得最多 |
transcript.whisperx[81].start |
3625.792 |
transcript.whisperx[81].end |
3643.332 |
transcript.whisperx[81].text |
因為在專利期他已經受到保障了那所以過了專利期應該就是要大幅的去調降那我們對原廠藥的話如果他在這過專利期之後他可以開始來做學名藥的時候我們給他鼓勵所以在健保的合價我們新的制度就是 |
transcript.whisperx[82].start |
3644.333 |
transcript.whisperx[82].end |
3668.062 |
transcript.whisperx[82].text |
當原廠要過專利期,比如說我們從100塊把它砍到60塊的時候,那我們給學名藥、國產學名藥的是66塊,比那個還高。原因就是本來的market share通通給原廠佔走了,那我們希望在短期之內,你不但是國產的這個學名藥能夠製造出來,而且很快的會有market share。 |
transcript.whisperx[83].start |
3669.383 |
transcript.whisperx[83].end |
3687.098 |
transcript.whisperx[83].text |
會佔Market share是在醫院的醫價所以我們必須要給他好一點的這個健保價才能夠在醫價上面有這個好處所以看起來部長是同意的嘛因為我們現在應該要共同來提升就設法提升我們學民要的那個佔有率 |
transcript.whisperx[84].start |
3687.694 |
transcript.whisperx[84].end |
3703.487 |
transcript.whisperx[84].text |
因為市場現在原廠的銷售額遠高過於相較於學民藥它一直是遙遙領先即便事實上是於專利期5年後還是這樣子的一個問題那我就要問部長說台灣沒有能力自備我們的那個就是原廠 |
transcript.whisperx[85].start |
3704.367 |
transcript.whisperx[85].end |
3705.028 |
transcript.whisperx[85].text |
所以我剛剛跟委員報告就是這個樣子 |
transcript.whisperx[86].start |
3726.218 |
transcript.whisperx[86].end |
3742.606 |
transcript.whisperx[86].text |
國產的原廠的市場佔有率太高所以有一個藥如果說原廠的目前這個很普遍他雖然過專利期但是在過專利期5年之內的話他還在市場的市佔率的話是80% |
transcript.whisperx[87].start |
3744.307 |
transcript.whisperx[87].end |
3762.287 |
transcript.whisperx[87].text |
萬一他就是說沒有辦法供應進來的時候我們國內的廠商縱然有學名藥他只MarketShare只有20%所以他的產線是沒有辦法很快的來補充的這個是真的是一個國安危機所以我們現在正在調整這樣子我們希望說原廠藥 |
transcript.whisperx[88].start |
3763.408 |
transcript.whisperx[88].end |
3791.366 |
transcript.whisperx[88].text |
在過專利期之後馬上就會有國產的藥廠能夠來生產這個學名藥可以來取代而且它的Market share一定要佔一定的規模以上它才能夠有足夠的產線能夠應付臨時的原廠缺藥的時候我們這邊能夠替補上來所以表示是沒問題的嗎不是沒問題現在正在做這個調整因為過去的話並沒有這樣子的一個調整好 |
transcript.whisperx[89].start |
3794.265 |
transcript.whisperx[89].end |
3810.682 |
transcript.whisperx[89].text |
根據健保署這次提供的書面資料那食藥署透過西藥供應平臺網站作為藥品的通路的一個通報機制通報後經調查而提供現有的替代藥品資訊跟公開徵求其他替代藥品 |
transcript.whisperx[90].start |
3811.503 |
transcript.whisperx[90].end |
3834.845 |
transcript.whisperx[90].text |
那替代療法另外一端依我們的法規要求我們的製藥在停或供貨六個月前要告知健保署以提早營業想問的是我們社區藥局依照我們的依令來開藥可是臺灣藥品是用品名來建黨的如果該項缺藥的話那儘管成分相同可是藥局事實上是他不敢使用那怎麼樣解決這個問題 |
transcript.whisperx[91].start |
3836.155 |
transcript.whisperx[91].end |
3854.294 |
transcript.whisperx[91].text |
這部分的話第一個就是我們的規定裡面健保相關規定裡面也說在如果不指定這一個不可替代的話那它藥局是可以把它用同成分的去做直接調劑這是在本來的規定就有 |
transcript.whisperx[92].start |
3856.476 |
transcript.whisperx[92].end |
3869.834 |
transcript.whisperx[92].text |
書面報告也指出未來鼓勵國內藥廠增加除到6個月的用藥意味同時要儲備6個月的一個原料跟藥品的話增加倉儲、溫控這些設施設備 |
transcript.whisperx[93].start |
3874.181 |
transcript.whisperx[93].end |
3903.04 |
transcript.whisperx[93].text |
增加這些設備都是他們的成本喔那他們的成本可是在我們的原廠藥進口的衝擊下如果滯銷就過期銷毀也是風險有沒有一些輔導計畫根本報告這個是所謂的必要藥品的這個品項那我們會要求我們國內的廠商必須原料要儲存是準備6個月啦但是成品就做好的大概2到3個月的這個存量 |
transcript.whisperx[94].start |
3903.8 |
transcript.whisperx[94].end |
3930.997 |
transcript.whisperx[94].text |
因為如果有原料在的話當然隨時他們是可以去做的可是重點是如果今天進口的那個他最後事實上賣不出去那因為國內真的很喜歡是用原廠藥那也不是造成我們國內很大的衝擊嗎這會評估啦這主要是說他如果那個有預期是會就是說短缺的時候他要事先要通報這事先6個月前要通報給我們 |
transcript.whisperx[95].start |
3933.607 |
transcript.whisperx[95].end |
3956.755 |
transcript.whisperx[95].text |
疫情過後我們各國都投入巨資來整對國內的供應鏈韓國五年投資了50億韓元美國花費了26.1億元那法國花了150歐元那臺灣到底有沒有學民藥的產業政策何時制定然後什麼時候公布 |
transcript.whisperx[96].start |
3958.737 |
transcript.whisperx[96].end |
3967.652 |
transcript.whisperx[96].text |
如果說一個整體的所謂的這個政策的話我們目前就並沒有把它彙整但是我們部分已經在進行的 |
transcript.whisperx[97].start |
3968.969 |
transcript.whisperx[97].end |
3969.59 |
transcript.whisperx[97].text |
我們謝謝林月琴委員的質詢 |
transcript.whisperx[98].start |
3997.486 |
transcript.whisperx[98].end |
4020.243 |
transcript.whisperx[98].text |
接下來我們請盧憲一委員進行質詢有請部長好 有請部長委員好部長好 |
transcript.whisperx[99].start |
4043.757 |
transcript.whisperx[99].end |
4047.479 |
transcript.whisperx[99].text |
因為我來自偏鄉,所以我來每次都會提到偏鄉的問題。 |
transcript.whisperx[100].start |
4049.215 |
transcript.whisperx[100].end |
4071.423 |
transcript.whisperx[100].text |
我記得我離開衛生所大概一年多不過屏東一直缺衛生所缺醫師的情況並沒有改善更何況是有些像新竹苗栗比較偏鄉的不是屬於原鄉的也是缺醫師那我希望部長今天能不能給我一個答案或者說你們有沒有再考慮要怎麼樣來我們來招募我們的醫師來進駐我們偏鄉地區 |
transcript.whisperx[101].start |
4073.904 |
transcript.whisperx[101].end |
4094.367 |
transcript.whisperx[101].text |
各位委員報告,大概這樣子以所謂的偏鄉來講,包括像山地原鄉其實我們的調查,山地原鄉現在缺醫師的情況是比較小的最缺的是所謂那種不三不四的,非都會區也不是山區,那些的問題是比較大的 |
transcript.whisperx[102].start |
4094.687 |
transcript.whisperx[102].end |
4110.146 |
transcript.whisperx[102].text |
那我們現在有提出一個偏鄉醫療計畫那已經在行政院那邊應該是快要過了我想知道說他們的薪水有沒有調漲多少就針對不三不四的地區對那這個部分的話我們第一個先要找到人力 |
transcript.whisperx[103].start |
4111.047 |
transcript.whisperx[103].end |
4129.586 |
transcript.whisperx[103].text |
不是你沒有先提供一個待遇讓他們想說他們能不能支撐他們的生活然後去那個地區生活應該是他們最主要的考量是在這裡如果一般市區是7萬多塊的一個本縫的話你是不是用14萬的來招募他們會馬上就很多人來應徵啊不是嗎 |
transcript.whisperx[104].start |
4130.667 |
transcript.whisperx[104].end |
4154.068 |
transcript.whisperx[104].text |
這個部分的話因為委員應該也知道就是說這個衛生所醫師的這個奉給跟他的獎勵金的部分的話其實是在縣市政府的手上沒有錯可是我們是不是可以特別編列預算再從衛福部這裡給他們我們這個是可以來考慮的但是主要還是要看人從哪裡來所以你們可以編預算我們這邊想辦法同意啊 |
transcript.whisperx[105].start |
4154.648 |
transcript.whisperx[105].end |
4155.349 |
transcript.whisperx[105].text |
不然永遠都缺。 |
transcript.whisperx[106].start |
4177.345 |
transcript.whisperx[106].end |
4198.535 |
transcript.whisperx[106].text |
所以我們覺得不能一直把問題放在那裡,要想辦法解決,我再替我們偏鄉的,不是指原鄉,不只原鄉而已,對不對?不過像剛剛委員提到這種像東港啦,或者潮州這一種,大概是因為當地有一些醫療院所,所以衛生所的醫療業務本來就少啦 |
transcript.whisperx[107].start |
4198.835 |
transcript.whisperx[107].end |
4199.756 |
transcript.whisperx[107].text |
我們回到今天的主題 |
transcript.whisperx[108].start |
4221.127 |
transcript.whisperx[108].end |
4231.973 |
transcript.whisperx[108].text |
我們現在的用藥一直在我們的那個保險的比例是從26到現在大概是28左右那我想知道說你們調整這次調整的主要的目的是什麼 |
transcript.whisperx[109].start |
4233.732 |
transcript.whisperx[109].end |
4261.408 |
transcript.whisperx[109].text |
現在在講委員在講的調整應該是第一梯的調整那現在第一梯的調整主要的目的就是讓這個專利剛剛過期的那它的藥價就可以把它壓下來像你常常在遇到我們在偏鄉服務或者是在比較就是老人家比較多的地方其實你在改藥或者是用藥選擇上面如果一改再改的時候你光叫長者來認這個藥就非常的困難 |
transcript.whisperx[110].start |
4262.268 |
transcript.whisperx[110].end |
4287.326 |
transcript.whisperx[110].text |
甚至有些藥廠他也不會考慮說原來的藥是什麼顏色他改顏色他就不敢吃了很多都是因為這樣他說怎麼藥又改了這個醫師本來就有這個我的意思是說頻率不要那麼頻繁尤其是他的慢性病藥但是你說原廠藥通通都保障它的話也不對啦當然我知道我的意思是說盡量如果以後我們國內有生產原廠藥的話盡量它的形狀跟顏色要一樣不然 |
transcript.whisperx[111].start |
4291.836 |
transcript.whisperx[111].end |
4320.976 |
transcript.whisperx[111].text |
幾乎要一致,不然常常會有困難沒有錯,可是盡量因為老人家就是認那個顏色啊認那個大小啊但是藥廠在出製造這個藥的時候我是說那個,我說你要替一些我們老人家在山上但是藥廠在出的時候,他通常都是用他們的同一個系列的會有那有他們的是啦,我說你要普遍請他們略入考量好不好這是有一點困難,要做的話有點困難 |
transcript.whisperx[112].start |
4323.017 |
transcript.whisperx[112].end |
4323.037 |
transcript.whisperx[112].text |
韓國瑜 |
transcript.whisperx[113].start |
4339.161 |
transcript.whisperx[113].end |
4353.198 |
transcript.whisperx[113].text |
正常或是說健康的方向來想嗎?對不對?對,而且公委報告現在有一些新藥是蠻貴的我知道啊,有爭議的我也知道啊那我意思是說我們目前的水準大概是跟土耳其差不多 |
transcript.whisperx[114].start |
4354.406 |
transcript.whisperx[114].end |
4375.092 |
transcript.whisperx[114].text |
現在按照這個他的藥費的比例土耳其然後墨西哥那如果我們跟美國來比是12英國是12韓國是23那我覺得我們的方向是如果以後是越來越低的話你是不是要一個配套措施你要怎麼樣去教育民眾你有一系列的教育的計畫嗎這差異是在母樹 |
transcript.whisperx[115].start |
4377.053 |
transcript.whisperx[115].end |
4392.507 |
transcript.whisperx[115].text |
是嗎?這個不是武術喔?OK,那我們不要看美國,我們就看墨西哥就好啦,或者是說看土耳其是不是?所以我的意思是說,如果以後是越來越低,你要相對花很大的成本在教育民眾 |
transcript.whisperx[116].start |
4393.468 |
transcript.whisperx[116].end |
4416.606 |
transcript.whisperx[116].text |
用這個比例來看的話是不準的,土耳其可能整個醫療費用很少,所以藥費的比例就高了我們是期待是往健康的方向走,而不是支出越來越多的一個方向,不是嗎?所以我的意思是說藥費去佔GDP的這個比例的話,這種比較的話是不很恰當我們的GDP是佔1.1 |
transcript.whisperx[117].start |
4417.987 |
transcript.whisperx[117].end |
4434.3 |
transcript.whisperx[117].text |
我們應該是自己跟自己比啦左手邊是1.1,藥費這樣1.1也就是說我們是在這裡面的倒數第6名沒有,這個比較沒有太大的意義啊我剛剛講嘛,那個base是不一樣,那GDP是不同的你說GDP很少的,那大家藥費就是那麼多那是這樣整體醫療的話這邊就有一個 |
transcript.whisperx[118].start |
4436.201 |
transcript.whisperx[118].end |
4465.013 |
transcript.whisperx[118].text |
右手邊這邊是整體醫療的費用支出這邊是佔GDP的費用支出那我們台灣大概就是倒數第6名那個GDP的比例啊費用的話是在前面就整體醫療費用去佔GDP的比例這個比較有它的基礎但是用醫療費去比的話讓國員理解說目前的狀況是在哪裡那如果國家的政策以後是越來越少的話你們應該要有個想辦法10年的一個計畫怎麼來教育我們全國的民眾好不好 |
transcript.whisperx[119].start |
4465.533 |
transcript.whisperx[119].end |
4488.591 |
transcript.whisperx[119].text |
基本上如果我們的base沒有辦法擴大的話那我們這一個藥費所佔的比例會越來越高其實我們在整間其實花最多的時間就是在解釋藥的部分尤其在改藥的時候我曾經在兩年前在訪療的時候他們常常就缺了一個藥叫Adalat或者說氧化酶然後氧化酶甚至缺了半年之久 |
transcript.whisperx[120].start |
4489.372 |
transcript.whisperx[120].end |
4518.169 |
transcript.whisperx[120].text |
那我想知道當初缺藥跟後來進了藥的時候那樣的一個窗口是怎麼樣來運作的?氧化鎂的部分的話事實上是因為的確啦這個健保價是已經殺到很低所以那個廠商要推出啦那後來我們就給他一個保障價地板的保障價那他廠商就恢復供應了所以這是氧化鎂的部分我想知道部長知道怎麼樣來訂價格是最合理的嗎? |
transcript.whisperx[121].start |
4519.502 |
transcript.whisperx[121].end |
4520.845 |
transcript.whisperx[121].text |
下一張再給我一分鐘 |
transcript.whisperx[122].start |
4530.851 |
transcript.whisperx[122].end |
4550.156 |
transcript.whisperx[122].text |
這就Value-Based Pricing也就是說你先教育就是說你先要理解我們消費者這個產品的價值在哪裡這是對這個長期價格的一個取向的一個最好的一個指標希望你能夠上網看一下 謝謝好 謝謝 謝謝委員好 我們謝謝盧憲義委員的質詢接下來我們請邱振軍委員進行質詢 |
transcript.whisperx[123].start |
4568.41 |
transcript.whisperx[123].end |
4597.736 |
transcript.whisperx[123].text |
好我們一樣有請部長好請部長部長請問那個蘇丹紅的事件我想這兩天又上頭版最近又爆出11家的餐飲以及食品業者都中標了這是今天早上的一個兩大報的一個頭版大家可以看一下 |
transcript.whisperx[124].start |
4601.448 |
transcript.whisperx[124].end |
4624.204 |
transcript.whisperx[124].text |
部長有看到嗎?有,我知道我想兩大報我們先談聯合報講的食藥署不保證市場沒有問題這是真的嗎?根本報告目前這會往下再查那因為他這個辣椒粉做成很多成品所以我們現在是你多久可以查? |
transcript.whisperx[125].start |
4625.377 |
transcript.whisperx[125].end |
4637.43 |
transcript.whisperx[125].text |
現在陸陸續續都一直在講你可以給我一個時間嗎?我覺得這樣一直等,拖的時間太久,我們國內的安全誰負責?一個月內應該是可以把這些統統查完 |
transcript.whisperx[126].start |
4638.736 |
transcript.whisperx[126].end |
4666.444 |
transcript.whisperx[126].text |
從今天開始?對,校期之內的這些產品那你查的方式勒?你現在怎麼查?因為現在從原料開始往下第二層加工的然後再第三層的話就是這個零售的這部分因為我覺得啦,我們民眾食安的問題不能拖不能等尤其是在我們16縣市的營養午餐這個部分部長可不可以承諾先可以處理? |
transcript.whisperx[127].start |
4667.894 |
transcript.whisperx[127].end |
4697.257 |
transcript.whisperx[127].text |
營養午餐的部分我們尊重地方的決定因為小孩子吃辣的習慣是比較少的所以營養午餐要去禁這個我覺得營養午餐這部分應該是不是我們這邊要嚴格先禁止先預防性的這些下架因為營養午餐的業務並不是說由衛福部這邊來控制的但你可以通知各縣市吧 |
transcript.whisperx[128].start |
4698.493 |
transcript.whisperx[128].end |
4722.45 |
transcript.whisperx[128].text |
那個辣椒粉這個我們是可以來跟教育部這邊再來討論一下我們這個問題預防性的下架也不敢那暫時下架待檢驗的全部可以因為有問題的是預防性下架本來就要做你上次講的啦你上次講的我們只抽了大概20%、50%我們關心的是那沒有驗的50% |
transcript.whisperx[129].start |
4724.754 |
transcript.whisperx[129].end |
4728.517 |
transcript.whisperx[129].text |
對,所以我們現在就循先在打麥克風所以應該要照著這個部分要盡快,好不好? |
transcript.whisperx[130].start |
4731.977 |
transcript.whisperx[130].end |
4757.302 |
transcript.whisperx[130].text |
另外第二個我們今天談的議題就是藥價的我們今年總共有4568項藥品的價格異動那其中調降了4551項調升17項那當然這是我們2013年以後調整最少的一個紀錄那表示說我們醫界跟藥界的他們的聲音有被聽到那我想請問部長那這次藥價 |
transcript.whisperx[131].start |
4760.526 |
transcript.whisperx[131].end |
4789.72 |
transcript.whisperx[131].text |
被砍最多的前三類藥品是什麼我是不是這個問題我是不是可以請我們健保署長來回答委員好 跟委員報告大概還是以這個慢性病的用藥高血壓還有這個神經用藥還有這個血糖的藥這幾類為主就是心血管藥嘛神經系統的還有全身性抗感染劑用藥那這4000多項裡的調整藥品裡面的慢性病占了多少 |
transcript.whisperx[132].start |
4790.485 |
transcript.whisperx[132].end |
4806.769 |
transcript.whisperx[132].text |
慢性病大概是八成那涉及到這個慢性處方籤的大概是七成我們以聯合報2023年8月有一篇關於慢性病共同防治的報導說2022年我們慢性病就醫人數高達1286萬人超過700萬人罹患兩種以上的慢性病以臺灣的人口結構來看 |
transcript.whisperx[133].start |
4816.531 |
transcript.whisperx[133].end |
4819.694 |
transcript.whisperx[133].text |
跟委員報告目前拿慢性處方籤的人數大概近800萬人 |
transcript.whisperx[134].start |
4835.187 |
transcript.whisperx[134].end |
4852.893 |
transcript.whisperx[134].text |
那我們在這個用藥上呢這一次調降的時候有特別也宣布說如果我們公告之後是4月1號才實施但是在3月8號之前提出那麼如果有不敷成本我們都會重新的調整價格到目前為止提出的只有5項藥對那些藥萬一沒有了怎麼辦 |
transcript.whisperx[135].start |
4855.775 |
transcript.whisperx[135].end |
4880.479 |
transcript.whisperx[135].text |
到目前為止提出不敷成本的有5項的藥而已啦那我們這5項就會暫時不會調降他的這個藥價讓他這個確保能夠繼續供藥好啦因為我據本席了解齁我們慢性病的用藥的習慣齁你如果換藥的話大家都會有抱怨聲啦齁而且對藥會沒有信心好那我希望剛剛呃我們呃次長吶呃署長 |
transcript.whisperx[136].start |
4885.458 |
transcript.whisperx[136].end |
4914.383 |
transcript.whisperx[136].text |
你這邊在這個有這個問題的話請你們就一定要慎重來處理好不好這替代性還是我們必須要有這藥的替代性不然的話這會被原廠把我們的整個的健保掐死當然啦我也不是說你們沒有一定要用一種藥就是說我盡量能夠降低這個我們民眾用的用藥的一個疑慮那再來就是 |
transcript.whisperx[137].start |
4915.97 |
transcript.whisperx[137].end |
4939.41 |
transcript.whisperx[137].text |
我們的醫院的分級我們的醫療落實成相這個醫療差距那麼原本臺灣社區醫院協會在2月21號在國民黨團開記者會說要在3月8日上街遊行表達訴求到3月4號我們行政院才進行溝通那我想知道為什麼每次都要準備抗爭的時候我們才要進行溝通呢 |
transcript.whisperx[138].start |
4940.351 |
transcript.whisperx[138].end |
4966.993 |
transcript.whisperx[138].text |
本來這個溝通就是有的只是說當時他們對於這個結果並不滿意所以才有這樣子的一些舉動我看到3月4號會議裡面達成的一個共識其中一個就是檢討我們健保藥價的政策來協助解決社區醫院用藥的採購困難你們每年說調整藥價是這個例行行業每年都看不到地區醫院的困難 |
transcript.whisperx[139].start |
4968.803 |
transcript.whisperx[139].end |
4983.085 |
transcript.whisperx[139].text |
都要走上街頭才來處理我希望部長這邊能夠認真來看待這個事情第7院經營的一些困難的情形我們有跟他們已經有我們推動醫療分級的時候是從什麼時候開始 |
transcript.whisperx[140].start |
4984.225 |
transcript.whisperx[140].end |
5010.846 |
transcript.whisperx[140].text |
醫療分級是很早,從醫療網計畫在民國差不多74年左右的時候就開始但是時空環境的一些演變,這中間也必須要去做一些調整。我不知道部長有沒有想過,就是說就算是費用高一點,我們像我們苗栗縣,苗栗縣民來講有碰到什麼問題,他還是願意多花一點錢到大醫院跑,你知道這為什麼嗎? |
transcript.whisperx[141].start |
5012.528 |
transcript.whisperx[141].end |
5039.257 |
transcript.whisperx[141].text |
當然有一些是品牌的迷思啦大醫院這醫師是對啦像我們苗栗醫院都是區域醫院跟地區醫院這幾年在醫院縣府我們中央相互的合作做了策略聯盟那當然慢慢的會有提升那我們當然有別的想法就是希望說如果苗栗現有的醫院裡我們就地升級的可能性大不大 |
transcript.whisperx[142].start |
5040.037 |
transcript.whisperx[142].end |
5059.815 |
transcript.whisperx[142].text |
這就是我們鼓勵的方向我們希望說在地的醫院都能夠提升它的品質讓建立這個品牌的形象讓我們的民眾有這個信心像布苗醫院像集中症大樓跟我們的癌症中心兩個大樓沒有辦法主席再給我一分鐘 |
transcript.whisperx[143].start |
5064.019 |
transcript.whisperx[143].end |
5088.893 |
transcript.whisperx[143].text |
因為你知道除了是費用的關係是費用的問題還有沒有其他問題主要還是費用的問題所以我們現在已經工程費用已經有追加了對我這樣講我是有聽到就是說我們的設計跟這個部分我希望部長也能夠去了解一下是不是有一些問題讓廠商不敢去投標 |
transcript.whisperx[144].start |
5089.833 |
transcript.whisperx[144].end |
5090.793 |
transcript.whisperx[144].text |
我們謝謝邱政軍委員的質詢接下來我們請廖偉祥委員進行質詢 |
transcript.whisperx[145].start |
5129.693 |
transcript.whisperx[145].end |
5156.349 |
transcript.whisperx[145].text |
有請部長好部長請委員好部長好部長衛福部在前天突然無預警的宣布掛號費的取消上限請教部長你在做這個行為之前你沒有做所謂的啟動社會溝通以及邀請學者專家研議或評估嗎在做這個政策之前 |
transcript.whisperx[146].start |
5157.849 |
transcript.whisperx[146].end |
5183.399 |
transcript.whisperx[146].text |
倒是沒有說有這樣大規模的去作證如果沒有政策沒有評估就上路完全沒有考慮到取消上限後會造成的任何的影響包含醫療可進性包含醫療階級化或者醫療體系長期上會有發生什麼狀況有沒有可能不利這個醫療分級等等的影響喔我在想這樣子的取消上限我想請問部長你覺得對百姓的醫療負擔會長幾成呢 |
transcript.whisperx[147].start |
5185.72 |
transcript.whisperx[147].end |
5208.307 |
transcript.whisperx[147].text |
以目前來講的話,第一個我要講,我們在做這個公告之前,其實有一些...你知道會長幾層嗎?你們有研究過會長幾層嗎?這個沒有辦法去做這個...所以其實你們沒有審慎的評估研究,也沒有足夠的溝通,對不對?應該不是說這樣,因為...部長,政策是不能隨性的,我覺得很多政策你們必須要經過審慎的評估才可以喔 |
transcript.whisperx[148].start |
5209.207 |
transcript.whisperx[148].end |
5227.884 |
transcript.whisperx[148].text |
尤其是這個對於長期的影響所以你們聽起來就是沒有評估而且看起來的行為就是用甩鍋給地方政府面對這樣的問題你們選擇偏移一下形式的方式我知道學界或者是醫藥界對這件事情普遍是積極的看法可是 |
transcript.whisperx[149].start |
5228.844 |
transcript.whisperx[149].end |
5245.622 |
transcript.whisperx[149].text |
這幾年來對於百姓來講你從去年提高部分的負擔增加醫學中心的名額讓百姓、民眾看病變得更貴之外現在這一次直接拿掉我們所謂的掛號費上限對百姓而言就是漲漲漲所以對於人民而言是被剝了三層皮 |
transcript.whisperx[150].start |
5246.443 |
transcript.whisperx[150].end |
5263.209 |
transcript.whisperx[150].text |
部長我想要請問你這樣拿掉掛號費上線就解決問題了嗎?因為掛號費不是只是行政費用而已嗎?事實上對問題的核心不就是因為健保點值長期的不公而且過低所以才造成這個醫事人員被政府拗作功德 |
transcript.whisperx[151].start |
5264.149 |
transcript.whisperx[151].end |
5287.43 |
transcript.whisperx[151].text |
各位委員報告醫護低薪與過勞並且人力流失所以才造成我們醫療體系可能崩潰所以我覺得你們倉促做這件事情又沒有充分的溝通也沒有充分的去評估你們造成的事情也沒有評估說那這樣對百姓可能造成多少負擔有沒有對於這些比較低薪的百姓或者是比較收入較低的配套方案也沒有做 |
transcript.whisperx[152].start |
5288.513 |
transcript.whisperx[152].end |
5307.701 |
transcript.whisperx[152].text |
我們看起來就是你不去思考怎麼改革健保總額的制度要怎麼改革不去解決問題這樣是一個治標不治本的狀況而且也沒有根治的問題這樣的做法還可能衍生更多的這個對於社會的影響我想這個部分部長你們是不是不夠的嚴謹 |
transcript.whisperx[153].start |
5309.142 |
transcript.whisperx[153].end |
5324.184 |
transcript.whisperx[153].text |
所以看起來你們衛福部的做法就是把這個責任推到推得一乾二淨也把你們對於健保應該改革的問題推得一乾二淨健保的改革是健保的改革這是一樣但是你們現在看起來就是急救張馬 |
transcript.whisperx[154].start |
5325.816 |
transcript.whisperx[154].end |
5350.489 |
transcript.whisperx[154].text |
那個瓜費的這一個部分的話因為瓜費本來就是行政費用那我想請問部長那你健保的總和制度改革你什麼時候要提出現在都逐漸的在進行當中那下次期待你提出一個更完整的方案而不是急救張的方式來做這件事情好嗎跟委員報告因為整個的話是最後健保的改革會在修法的這一個部分真正的問題是健保點值長期不公你認不認同 |
transcript.whisperx[155].start |
5352.03 |
transcript.whisperx[155].end |
5357.735 |
transcript.whisperx[155].text |
你認不認同?你認不認同這件事?這個簡報現在是寫的這樣子所以你認同還不認同?我沒有要你解釋,我問你yes or no |
transcript.whisperx[156].start |
5367.966 |
transcript.whisperx[156].end |
5381.959 |
transcript.whisperx[156].text |
我是認為說這一個沒有去講到核心沒有講到核心那你會改革健保點子的問題嗎那這個是知識體態因為健保所謂的點子是跟量是有關的那如果說好部長 |
transcript.whisperx[157].start |
5382.68 |
transcript.whisperx[157].end |
5404.207 |
transcript.whisperx[157].text |
我們現在進行下一題部長過年前今天的重點過年前這個傳出缺藥時你說堅持品牌迷思堅持原廠藥只能等死喔恕我不能同意你這樣的看法因為官員存在的目的不就是應該解決百姓的問題嗎為什麼可以說只有人民只能等死呢你承不承認這句話是失言 |
transcript.whisperx[158].start |
5405.587 |
transcript.whisperx[158].end |
5432.633 |
transcript.whisperx[158].text |
沒有,因為只有一個病人,如果你堅持這個藥但是缺藥,失明重要的民生一級,攸關人民的健康,可以這樣子講話嗎?因為你可以只講堅持品牌迷失是會造成問題,你不能說民眾只能等死啊,對吧?委員,我想齁,這個遣食用字是沒有好,部長,今天要討論的這個健保藥價調整以及藥廠慢性病用藥的因應作為,我想要請問 |
transcript.whisperx[159].start |
5433.853 |
transcript.whisperx[159].end |
5455.858 |
transcript.whisperx[159].text |
這兩年的缺藥問題很嚴重有些是真的缺藥有些是假的缺藥但是近半年缺藥問題是越來越嚴重包含這個媒體人我們陳文茜女士也在臉書說現在健保制度下卻買不到一粒一元的口服劑型的類固醇所以他還請人從美國代購甚至現在也傳出 |
transcript.whisperx[160].start |
5457.599 |
transcript.whisperx[160].end |
5472.332 |
transcript.whisperx[160].text |
這個藥局為了留住客戶而開始賠錢加價囤一些常用的慢性藥品例如我們調整心跳速率的這個康克我想要請教部長包含著這個我們的 |
transcript.whisperx[161].start |
5473.846 |
transcript.whisperx[161].end |
5501.624 |
transcript.whisperx[161].text |
愛敏氏也已經長期一年多缺藥了我想請問部長喔你有沒有掌握到這樣的狀況這個都有替代的或者是說同成分的一個品牌沒有我剛剛講的事情是現在的藥局為了留住客戶開始賠錢加價存一些常用的慢性藥品你有沒有掌握到這樣的狀況那個委員要不要聽我稍微這一點做一點解釋他現在在抱怨的是我們現在把藥價調下來 |
transcript.whisperx[162].start |
5502.725 |
transcript.whisperx[162].end |
5525.588 |
transcript.whisperx[162].text |
但是當初他禁的藥部長你沒有聽清楚我的問題我剛說你有沒有掌握到這樣的狀況有你不用解釋對好有對不對總是要讓你解釋一下吧那這種類似沒有我只問你有沒有掌握到有我沒有說這個事情發生就是我只想問你有沒有掌握到有所以這類似overbooking的做法是不是只會讓缺藥的問題雪上加霜那我想要請教部長你們衛福部是不是要公開呼籲藥局不要囤貨 |
transcript.whisperx[163].start |
5528.427 |
transcript.whisperx[163].end |
5545.713 |
transcript.whisperx[163].text |
沒有啊,這所謂的囤貨我剛剛...你會公開呼籲嗎?我剛剛解釋,委員就沒有時間給我解釋嘛這個不是囤貨,是他已經買進來了啦但是現在藥局...但是當時的價格是比較高的那所以你是說你不會公開呼籲他們不要囤貨? |
transcript.whisperx[164].start |
5547.327 |
transcript.whisperx[164].end |
5549.968 |
transcript.whisperx[164].text |
我整理出缺藥的原因在供應或是製造端方面有4點 |
transcript.whisperx[165].start |
5572.572 |
transcript.whisperx[165].end |
5589.426 |
transcript.whisperx[165].text |
製造品質或法規要求改變原料藥的供應不及跟物流運送的延遲還有這個藥廠商業考量或是製造排成延遲或停止製造這個預專利很久的藥品而另外在輸入端也就是需求端的部分 |
transcript.whisperx[166].start |
5590.676 |
transcript.whisperx[166].end |
5608.874 |
transcript.whisperx[166].text |
複存量的管理不佳和我們突然增加的需求以及季節需求因素都會造成缺藥我們想請問這些所有可能缺藥的因素我們點出來那食藥署除了建置一個缺藥通報平台之外有沒有針對這些因素預先去因應或是做危機的管控 |
transcript.whisperx[167].start |
5609.774 |
transcript.whisperx[167].end |
5630.41 |
transcript.whisperx[167].text |
如果是在這所謂的必要藥品的項目裡面的話那我們要求是6個月之前若可以是部長我知道藥界都很清楚食藥署只是控藥就是發生缺藥的時候要求這個優先提供給大醫院所以為何食藥署不能夠從製造端或服務端常態性的去了解未來一年未來一年的供應狀況 |
transcript.whisperx[168].start |
5632.728 |
transcript.whisperx[168].end |
5654.765 |
transcript.whisperx[168].text |
好因為時間有限下一題請教部長和我們的健保署的時署長現在缺藥問題涉及的層面很廣所以外界普遍的看法因為藥價不斷被砍鎖導致所以這個藥品的支付改革也是我們缺藥的重要的一環對不對所以請教署長已經開了無數次的這個健保藥品政策改革方案溝通會議何時會定案 |
transcript.whisperx[169].start |
5656.819 |
transcript.whisperx[169].end |
5684.705 |
transcript.whisperx[169].text |
跟委員報告我們近期還會再開一次那包含一些保障的措施還有鼓勵在台製造的政策來確定溝通之後然後接著進行法規的預告好因為已經開了很多次了所以還是請這個我們食藥署的部分還不是請我們健保署的部分可以趕快的進行還有另外因為藥價改革也涉及到修正全民健康保險藥物給付項目跟支付標準我想要請教部長和署長何時會預告何時會公告 |
transcript.whisperx[170].start |
5686.186 |
transcript.whisperx[170].end |
5704.726 |
transcript.whisperx[170].text |
都會在快的話大概在4月份我們就會進行預告了好因為我在面對缺藥問題的時候我一個星期前有公開主張過同時符合三個這個條件我們該的各該品項的藥價就可以排除在每年藥價調整之外或者不受藥價調整的影響 |
transcript.whisperx[171].start |
5705.447 |
transcript.whisperx[171].end |
5732.828 |
transcript.whisperx[171].text |
那這三個條件分別是臨床上有需求臨床上有需求也是也就是要必須經過我們的醫學會的認證第二個是鼓勵在地製造希望可以穩定供應鏈第三個是三張以下的稀缺藥證這三個具體的項目這個提議的背後就是希望尊重各醫學會他們最清楚藥的需求然後第二個是希望鼓勵在地製造希望可以穩定我們的藥品供應 |
transcript.whisperx[172].start |
5733.809 |
transcript.whisperx[172].end |
5755.876 |
transcript.whisperx[172].text |
更加我們的就業機會第三個是希望稀缺藥證就是誠如部長說的替代性的藥品盡量不要調整這三個方案是否可行所以請你們好好的評估根本報告這方向上面我們是贊同但是要醫學會認證這件事情要保留請你們回去好好的評估因為醫學會他們在臨床上有他們的需求這部分請你們相加 |
transcript.whisperx[173].start |
5758.217 |
transcript.whisperx[173].end |
5778.036 |
transcript.whisperx[173].text |
所以我知道你會這樣講沒關係下一題因為時間快到了最後一題我們要回到我們人民最關心的食安問題最近蘇丹紅的事情越演越烈已經是一個系統性的問題而且辣椒原料從禮拜一的時候你們說查出2萬多公斤到今天3天後已經查出6.4萬公斤 |
transcript.whisperx[174].start |
5780.154 |
transcript.whisperx[174].end |
5795.468 |
transcript.whisperx[174].text |
而且我去調了海關進口這個所謂的辣椒製品在2023年也就是112年的時候總共進口了276萬公斤啊部長你知道嗎但是他不是通通都不合格 |
transcript.whisperx[175].start |
5796.189 |
transcript.whisperx[175].end |
5813.024 |
transcript.whisperx[175].text |
不是通通不合格但是我告訴你這276萬公斤進來了對不對你已經查到了6.4萬公斤了你查到了6.4萬公斤了已經2點多趴將近3趴了依照你民進黨陳建仁和你部長的統計學我可不可以說這276萬公斤很多都有問題 |
transcript.whisperx[176].start |
5814.065 |
transcript.whisperx[176].end |
5826.554 |
transcript.whisperx[176].text |
你敢保證都沒問題嗎?我依照你們統計學說的我依照你們統計學說的因為你們上次說這個3%不能夠代表你現在已經驗出了這麼多了你有多少量你還有沒有掌握到? |
transcript.whisperx[177].start |
5827.253 |
transcript.whisperx[177].end |
5854.815 |
transcript.whisperx[177].text |
我們現在就是對於那些沒有掌握到的我們足皮的再往下你剛才說一個多月然後現在人民已經暴露在這樣系統性的食安風暴裡面部長我只是把這數據提供給你讓你好好的嚴加嚴加的去查276萬多公斤會影響台灣多少的食品而且你們食藥署也說不保證市場沒有問題所以你這276萬公斤很可怕請你們好好的把皮繃緊一點 |
transcript.whisperx[178].start |
5857.057 |
transcript.whisperx[178].end |
5872.952 |
transcript.whisperx[178].text |
而且現在縣市政府都跟進我們的很多這個團戰包含我們六都裡面全部在野黨執政的縣市地方政府縣市都宣布說不准營養午餐用這個辣椒粉那 |
transcript.whisperx[179].start |
5874.093 |
transcript.whisperx[179].end |
5897.604 |
transcript.whisperx[179].text |
反而是我看到中央好像把關不利變成地方很努力的在為你們擋然後也要求縣市政府說營養午餐、團餐不可以使用可是看起來民進黨執政的縣市沒有跟進我想請問部長有什麼看法我們是不反對說地方政府對於這個小孩子吃辣的習慣是少的 |
transcript.whisperx[180].start |
5898.084 |
transcript.whisperx[180].end |
5915.92 |
transcript.whisperx[180].text |
你不能夠說吃他習慣少那他任何可能知道的風險呢所以那個部分你要你去說禁止我們並不反對你並不反對那為什麼你不可以說你建議你建議這些縣市可以先不要用因為你現在查不到嘛276萬公斤你沒辦法馬上查完嘛那你是不是應該衛福部中央應該要有點尬詞 |
transcript.whisperx[181].start |
5918.082 |
transcript.whisperx[181].end |
5930.631 |
transcript.whisperx[181].text |
擔當起來現在看起來就是現在看起來就是地方為你們把關的很嚴謹中央發生的這個事情好像不管你們是全部推給地方這有前者的分工部長 |
transcript.whisperx[182].start |
5931.932 |
transcript.whisperx[182].end |
5956.05 |
transcript.whisperx[182].text |
食安的預警溯源10年來都沒有進步所以我們星期一的時候也請教你跟徐副主任有關食安匯報的狀況你們本來說今年1月份要召開但是因為選舉因素現在還沒有確定日期大家都說食安不能有假期但是看起來你們民進黨政府選舉最大食安匯報一拖再拖也沒有關係我想問這是你們對食安的態度嗎 |
transcript.whisperx[183].start |
5958.632 |
transcript.whisperx[183].end |
5975.206 |
transcript.whisperx[183].text |
應該我所知道的應該是這一個月會召開那我問部長最後我還是要問你你到底重不重視食安我當然重視你很重視食安對不對你很重視好但是上次我問你的時候你缺席去年食安會報你告訴我說因為你要接受立法院的質詢 |
transcript.whisperx[184].start |
5976.207 |
transcript.whisperx[184].end |
5988.834 |
transcript.whisperx[184].text |
但是我去查了你的食安會報那一次是下午3點召開可是我們的委員會1點22就散會了中間還有一個半小時你說你很重視食安的話你有充分的時間可以去參加食安會報但你卻選擇出席而且面對國會議員的公開質疑你卻選擇說謊不去參加的理由 |
transcript.whisperx[185].start |
5996.198 |
transcript.whisperx[185].end |
5996.679 |
transcript.whisperx[185].text |
我跟委員解釋一下第一個 |
transcript.whisperx[186].start |
6014.76 |
transcript.whisperx[186].end |
6025.384 |
transcript.whisperx[186].text |
當我知道隔天要食安會議報告和解釋不用解釋我沒有要你解釋那件事情我要跟你講的事情是你因為這樣子導致現在臺灣喔不是說你的這個態度喔你這個態度讓現在這個276萬公斤流竄在我們的社會裡面你要不要因為這個系統性的食安問題你要不要因為這個系統性的食安問題跟全國人民道歉 |
transcript.whisperx[187].start |
6041.189 |
transcript.whisperx[187].end |
6042.17 |
transcript.whisperx[187].text |
好 謝謝大家好 謝謝廖偉祥委員的質詢 |
transcript.whisperx[188].start |
6072.574 |
transcript.whisperx[188].end |
6081.838 |
transcript.whisperx[188].text |
那主席在這邊宣告一下等王玉敏委員質詢完之後我們休息5分鐘好接下來我們請黃秀芳委員進行質詢謝謝主席我們請部長好有請部長 |
transcript.whisperx[189].start |
6096.775 |
transcript.whisperx[189].end |
6116.793 |
transcript.whisperx[189].text |
委員好部長好部長我想剛剛那個廖委員質詢的我給你一分鐘的說明時間我看你想要說明可是這個委員不聽所以我一分鐘讓你說明一下兩點第一點的話就是說我們每一次在委員會開完會議之後我會找我 |
transcript.whisperx[190].start |
6117.614 |
transcript.whisperx[190].end |
6137.759 |
transcript.whisperx[190].text |
回到部裡面我會找我們的幕僚討論一下那到底這委員的給我們的一些指教或者我們答應委員要做的事情要怎麼樣進行所以那個時間並不是說我不是在耍花樣我沒有請民意代表要去糟蹋那種行我們很多事情還要去做去做所以 |
transcript.whisperx[191].start |
6138.419 |
transcript.whisperx[191].end |
6153.563 |
transcript.whisperx[191].text |
第二個,就是說當天那個食安會議的時候那因為我預期到有委員會要開,所以一定是預先請教,而且指派代表我沒有辦法去預期說,委員會幾點會結束,因為那個是召委的權責 |
transcript.whisperx[192].start |
6156.424 |
transcript.whisperx[192].end |
6179.198 |
transcript.whisperx[192].text |
這個部分的話我已經請了代理那當然我就照我的schedule講那剛剛也是提到我們委員會開完我不是就沒事了所以我還是必須要回去做一些準備那怎麼樣來處理這些相關的問題那當然國人關心的這個食安的這個議題食品安全那我們希望就是說在這個 |
transcript.whisperx[193].start |
6180.979 |
transcript.whisperx[193].end |
6196.421 |
transcript.whisperx[193].text |
第一線 食藥署這個在第一線就要去把關那後市場後市場的部分我相信你們應該也有通知各個縣市這個所有後市場的部分你們應該也要在短時間內趕快去把它查清楚要不然 |
transcript.whisperx[194].start |
6197.402 |
transcript.whisperx[194].end |
6224.567 |
transcript.whisperx[194].text |
現在大家就疑慮啊各縣市有的縣市會認為就是說在這個時燈平台已經可以很清楚那有的縣市可能會有疑慮那就停了這個營養午餐使用辣椒粉或者是咖哩粉那這樣子會造成很多人就是會恐慌所以我是不是在這邊要要求食藥署針對後市場的部分應該要在短時間內要趕快把它釐清 |
transcript.whisperx[195].start |
6225.547 |
transcript.whisperx[195].end |
6244.756 |
transcript.whisperx[195].text |
根本報告就是第一層進口的廠商那被查到有問題的這個我們已經能夠掌握然後他往下走賣給哪一些廠商這個我們也能夠掌握那第二層的這些加工廠做出來之後的成品賣到哪裡去的話 |
transcript.whisperx[196].start |
6245.276 |
transcript.whisperx[196].end |
6271.076 |
transcript.whisperx[196].text |
在我們的非追系統裡面是沒有辦法完全都查到的所以我們就變成要每一家每一家去查看你賣到哪裡去那賣到哪裡去的時候我們就到那個他所指出來的這個廠商去看他的這些使用這個辣椒粉到底是有哪一些產品那這些我們還要把它抽回來去做檢驗因為如果沒有 |
transcript.whisperx[197].start |
6271.536 |
transcript.whisperx[197].end |
6287.428 |
transcript.whisperx[197].text |
沒有這個違規的我們也不能就把人家禁掉所以還必須要把它抽回來那再做進一步的一個檢驗確定是這個沒有了那我們才能夠把它封存銷毀所以這個事情就是變成是比較細 |
transcript.whisperx[198].start |
6289.489 |
transcript.whisperx[198].end |
6313.447 |
transcript.whisperx[198].text |
當然如果說一個違規的產品如果它的那個風險是非常非常的高我們大概一下子就禁止然後全部都下架但是這個東西的話事實上是致癌致癌物的第三級風險並不如想像那麼高而我們這個整個的民間在使用這種辣椒粉 |
transcript.whisperx[199].start |
6314.187 |
transcript.whisperx[199].end |
6336.12 |
transcript.whisperx[199].text |
又是那麼多我人有這種習慣所以我們沒有辦法說一下子全部通通所有的辣椒粉或者相關製品通通要下架這個我們做不到當然就是說食品安全的這個議題我們希望就是說那個食藥署這邊後市場的部分真的要趕快趕快去積極去查就循線然後積極趕快把它處理掉 |
transcript.whisperx[200].start |
6339.122 |
transcript.whisperx[200].end |
6348.971 |
transcript.whisperx[200].text |
那部長我想說針對這個早產兒育兒津貼養育津貼的這個部分因為在去年我們也有開過記者會就是我幾位委員開過記者會我想說這個兒童節也快到了 |
transcript.whisperx[201].start |
6356.257 |
transcript.whisperx[201].end |
6377.851 |
transcript.whisperx[201].text |
這個早產兒的養育津貼因為家裡面如果有一個早產兒的話在前6個月其實健康照護的這個支出比健康逐月生出來的這個寶寶所支出的可能要多4倍那我想請教就是說我們現在整個少子化在2023年所有新生兒的這個出生率 |
transcript.whisperx[202].start |
6378.551 |
transcript.whisperx[202].end |
6396.321 |
transcript.whisperx[202].text |
出生就只有剩下13萬那一個都不能少那尤其是這個早產兒的養育真的是更辛苦我不知道說部長針對這部分是不是認同或者是未來我們可以怎麼樣來協助家裡面有早產兒的這個家庭 |
transcript.whisperx[203].start |
6396.823 |
transcript.whisperx[203].end |
6423.892 |
transcript.whisperx[203].text |
我們就這一點我們正在找一些相關的團體大家來做討論第一個就是說這個所謂早產的他的這個健康照護的支出是比較高的到底高在哪一些項目上面那如果可能的話我們會用十五幾戶的方式我們比較不想用發現金的方式因為發現金之後父母會拿去做什麼你不知道結果這個小孩子還是沒照顧到這個是我們要避免的 |
transcript.whisperx[204].start |
6424.992 |
transcript.whisperx[204].end |
6454.145 |
transcript.whisperx[204].text |
所以不論是早產的他可能是需要一些營養品或者是眼睛可能會有一些問題或者是肺部會有一些問題那像針對這一部分我剛我也認同部長的這個所說的就是可能用實際的這個補助他需要的這個營養品的一個補助或者是藥品的這個補助我認同那是不是說可以盡速趕快去做一個整理好 謝謝那另外就是說 |
transcript.whisperx[205].start |
6456.206 |
transcript.whisperx[205].end |
6481.946 |
transcript.whisperx[205].text |
這個我們國家挹注的這個兒童專科醫院其實是沒有國家支援挹注的這個兒童的專科醫院像臺大醫院他也算他只是有一個這個兒童醫院他只是有一個建築那很多還是跟成人的一起使用那他也算是只是兒科的一部分就是兒科 |
transcript.whisperx[206].start |
6483.106 |
transcript.whisperx[206].end |
6508.163 |
transcript.whisperx[206].text |
對阿像往南的話就剩下這個還有最南就是彰化基督教醫院有一個兒童醫院嗎應該高雄那邊還有高雄現在有嗎沒有阿目前我們看到是沒有阿高一高一現在是有好那我想請教就是說其實我們看到從這個南部或者是東部其實兒童的這個新生兒的這個死亡率其實一直都沒有 |
transcript.whisperx[207].start |
6508.863 |
transcript.whisperx[207].end |
6537.172 |
transcript.whisperx[207].text |
就是覺得都比例都還是偏高那會不會跟我們沒有這個兒童的這個專科專科的這個醫療會不會是有關跟我們報告就針對這一點的話我們就是也注意到所以這我們推出了一個優化兒童醫療照護的計畫那這個計畫的話在原來的前三年的話是經費是比較少那今年是第四年我們把預算增加了 |
transcript.whisperx[208].start |
6538.353 |
transcript.whisperx[208].end |
6563.008 |
transcript.whisperx[208].text |
明年可能還會繼續再推這第二期這一個部分的話我們會有所謂的核心醫院跟重點醫院另外一個又有專職醫師核心醫院就是比較高的能夠去訓練人力然後來做重男罕症的治療這個部分 |
transcript.whisperx[209].start |
6564.895 |
transcript.whisperx[209].end |
6578.049 |
transcript.whisperx[209].text |
重點醫院的部分就我們希望一個縣市至少要有一家他要做什麼他必須要提供24小時有兒科的專科醫師能夠來看急診或是cover急診 |
transcript.whisperx[210].start |
6579.881 |
transcript.whisperx[210].end |
6600.823 |
transcript.whisperx[210].text |
第二就是他必須要早產能夠做照顧也就是要有新生兒的加護病房當然更好的是說有兒童加護病房會有分級所以這部分的話我們都會給他補助其中對兒科醫師的話大概重點醫院跟核心醫院的部分的話我們會給 |
transcript.whisperx[211].start |
6602.924 |
transcript.whisperx[211].end |
6628.83 |
transcript.whisperx[211].text |
一個月一萬元因為我們看到其實要醫院要招募這個兒科醫師其實也不容易像臺大他連那個兒科醫師的招募都不足所以我覺得說應該要放更多的資源在這個而且這都是公務預算都沒有遲到健保那剛剛最後因為時間的關係最後我想請教就是說很多委員在關心就是我們的這個掛號費 |
transcript.whisperx[212].start |
6631.731 |
transcript.whisperx[212].end |
6653.658 |
transcript.whisperx[212].text |
就是沒有去這個有關這個掛號費這個上限那也沒有去做一個這個備查的這個制度所以我想請教就是說未來如果說是經濟弱勢的民眾那他可能會考慮到這個掛號費真的太貴了那可能會影響到他的整個就醫的這個權利所以我想請教部長就針對這些經濟弱勢的民眾怎麼處理 |
transcript.whisperx[213].start |
6656.039 |
transcript.whisperx[213].end |
6676.274 |
transcript.whisperx[213].text |
跟委員報告,其實經濟弱勢的民眾的話,我們有公財的回饋金是分配給各個縣市政府本來就是公財的回饋金裡面的使用,就有包括這一個經濟弱勢的他就醫的時候的掛號費等等這些,他就可以給他補助 |
transcript.whisperx[214].start |
6677.535 |
transcript.whisperx[214].end |
6703.656 |
transcript.whisperx[214].text |
所以我也想請部長針對目前我們這個公號費的這個上限就是你們沒有特意去就是說要有一個公號費的上限那你們是不是也要有一個一段時間去觀察到底這些診所、診所、醫院、區域醫院、地區醫院或者是醫學中心這個調整之後會有什麼對民眾有什麼樣的影響我覺得你們應該也要有一個配套 |
transcript.whisperx[215].start |
6704.156 |
transcript.whisperx[215].end |
6726.495 |
transcript.whisperx[215].text |
不過可能就是說我們會從那個公立醫院開始公立醫院大概不會去醫院馬上就做調整所以公立醫院應該是暫時不會長所以公立醫院目前這個掛號費應該不會有所調整對那其他的醫院或者診所如果有調整的話如果有聯合行為那就是要交給公平會去 |
transcript.whisperx[216].start |
6726.735 |
transcript.whisperx[216].end |
6727.316 |
transcript.whisperx[216].text |
黃秀芳委員質詢 |
transcript.whisperx[217].start |
6752.474 |
transcript.whisperx[217].end |
6761.339 |
transcript.whisperx[217].text |
謝謝主席。部長,我看到你睡著了。我看你都不醒了。我們請石崇亮署長,還有我們吳署長。好,來請兩位署長。委員長。我將吳署長先回答一個問題。 |
transcript.whisperx[218].start |
6771.864 |
transcript.whisperx[218].end |
6785.841 |
transcript.whisperx[218].text |
這個是媒體要知道的今天早上都談很多了那些蘇丹紅、辣椒粉因為辣椒我們前幾天部長就講說這次出包是辣椒粉蘇丹紅沾在辣椒裡面 對不對 |
transcript.whisperx[219].start |
6788.364 |
transcript.whisperx[219].end |
6808.906 |
transcript.whisperx[219].text |
原頭是大陸嘛所以現在的一級、二級一直分裝一直出去我上次跟部長請教聽說現在十幾萬公斤啊部長又說沒多少你看越拼越多原來三家那我請問今天又查出來幾家 |
transcript.whisperx[220].start |
6810.097 |
transcript.whisperx[220].end |
6811.358 |
transcript.whisperx[220].text |
另外一個有媒體說這個東西已經進來3年了 |
transcript.whisperx[221].start |
6836.792 |
transcript.whisperx[221].end |
6863.19 |
transcript.whisperx[221].text |
三年了?真的有那麼久嗎?還是十年了?因為我們過去一直都有在驗那有一些業者像我們這一次針對的21家全部都禁他的就是只要有不管是農藥啊或者是曾經有驗出蘇丹紅的我們就全部都禁止他再說問題在這裡這一次是雲林查出來嘛雲林是人家檢舉嘛所以你說你邊境你海關要進來你這幾年都有驗嗎?這第一個問題 |
transcript.whisperx[222].start |
6866.932 |
transcript.whisperx[222].end |
6884.631 |
transcript.whisperx[222].text |
第二問題,藥師沒有人檢舉,這件事情又沒人挑起來,就繼續吃?確實是需要全民監督,因為我們的檢驗在邊境不可能百分之百,我們再怎麼做都沒有辦法到百分之百你是不是完全沒有在檢驗?我們每一年都有驗,像去年我們驗的就有87件 |
transcript.whisperx[223].start |
6886.471 |
transcript.whisperx[223].end |
6886.611 |
transcript.whisperx[223].text |
所以你們 |
transcript.whisperx[224].start |
6905.819 |
transcript.whisperx[224].end |
6932.902 |
transcript.whisperx[224].text |
我們美國進,我們就進,但是中央這邊不該積極,那我們現在各縣市政府都非常的努力,小年來的妻兒園大家都很認真,這要敢鼓勵,要敢獎勵啦,要鼓勵,你就是說裝上地方,像部長講的,要合作嘛,所以這個不能有互相在那邊推脫,在那邊塞進去,這完全不行喔, |
transcript.whisperx[225].start |
6934.301 |
transcript.whisperx[225].end |
6955.527 |
transcript.whisperx[225].text |
有嗎有這個 有有齁 是明天是婦女節啦婦女節 三八婦女節這是要很快樂的 孩子要很快樂的這個營養午餐什麼倫巴的 孩子都在吃這些東西部長說的我聽下去他說孩子他就是吃比較辣的東西所以有可能比較沒汙量那但是要還是要小心不要 |
transcript.whisperx[226].start |
6956.983 |
transcript.whisperx[226].end |
6972.881 |
transcript.whisperx[226].text |
婦女節明天就變樣了好不好這個很重要我看食藥署不夠不夠認真好那再來請崇良兄這個第一梯 |
transcript.whisperx[227].start |
6974.249 |
transcript.whisperx[227].end |
6991.803 |
transcript.whisperx[227].text |
就是上次第8屆的時候那個康照桌康照桌這個署長的時候就以前叫做PVS嘛這個是根據健保法46條衍生出來藥價那這個第一批做到現在10年喔差不多喔10年喔 |
transcript.whisperx[228].start |
6996.241 |
transcript.whisperx[228].end |
7013.721 |
transcript.whisperx[228].text |
國產藥藥廠在幹掉進口也沒問題藥借也沒問題衣蓋也沒問題賠償六百萬也沒辦法吃這個方這個辦法是不是該廢止或者是要重新檢討可以玩得差不多了啦 |
transcript.whisperx[229].start |
7015.525 |
transcript.whisperx[229].end |
7040.28 |
transcript.whisperx[229].text |
跟委員報告這個第一梯是從102年開始實施的它最主要當時候提出來是要解決第一個是藥價差當時候初步的剛啟動這個機制的時候一年的藥價差大概有30%為了要解決這個藥價差同時也不要每年的調動的幅度太大所以才訂出一個目標制讓它調整的幅度不要那麼大 |
transcript.whisperx[230].start |
7041.341 |
transcript.whisperx[230].end |
7062.954 |
transcript.whisperx[230].text |
幾年下來大概現在藥價差已經縮小到差不多24、25%那麼也需要到整個要來檢討的時候所以委員的指教我們從去年就開始跟大家在討論應該今年上半年我會提出一些法規的修訂我要這裡要說明一下我是做第一線的重症醫師 |
transcript.whisperx[231].start |
7065.66 |
transcript.whisperx[231].end |
7075.133 |
transcript.whisperx[231].text |
什麼以藥養醫啦什麼藥價差很多啦我跟大家報告我第一線我才做重症我們現在的藥價差搞不好連10%、15%都很難 |
transcript.whisperx[232].start |
7079.819 |
transcript.whisperx[232].end |
7103.754 |
transcript.whisperx[232].text |
現在每年被砍藥一直砍一直砍我們現在根本不會去care藥價差這一塊我想大的醫院或許像長庚體系像北醫體系他的盡量非常大可以用價量來製衡或許他們的藥價才會多一點但是你說基層診所這裡要替他們講講話基層診所要去買藥 |
transcript.whisperx[233].start |
7107.472 |
transcript.whisperx[233].end |
7116.98 |
transcript.whisperx[233].text |
跟健保價的合價是一樣的,甚至於比健保價的合價還高,這樣一個心力不整藥,要健保合價合一點點,然後他們要買要買,比他高。所以不要汙名化我們醫界,這裡我要替他們講話。 |
transcript.whisperx[234].start |
7130.56 |
transcript.whisperx[234].end |
7141.781 |
transcript.whisperx[234].text |
那再來我們一天到晚說停藥啦、COVID的關係啦、打仗的關係所以有些藥都進不來那我要這裡要跟署長講 |
transcript.whisperx[235].start |
7143.339 |
transcript.whisperx[235].end |
7163.774 |
transcript.whisperx[235].text |
我們的用賢明藥的藥我們也同意那賢明藥進來有本國的賢明藥有進口的賢明藥那我們對本國的賢明藥有沒有信心的第一個第二個如果有信心的話要如何保障賢明藥第三個我們的 |
transcript.whisperx[236].start |
7165.275 |
transcript.whisperx[236].end |
7178.425 |
transcript.whisperx[236].text |
學民要的原料台灣有沒有在開發如果開發的話我們真的要保護不然的話真的打起仗來或是封鎖起來我們現在很多原料都從中國大陸跟印度進來的 |
transcript.whisperx[237].start |
7179.753 |
transcript.whisperx[237].end |
7207.375 |
transcript.whisperx[237].text |
所以如果到時候一停那怎麼辦?跟委員報告我們已經在研議中接下來會修訂這個支付標準那在定價的時候如果用到的是臺灣製造的原料藥可以加到20%最高的價格那另外如果是在臺灣製造的學民藥那我們會看他的那個藥證的章數還有他的這個臨床使用缺口最高可以加到15% |
transcript.whisperx[238].start |
7209.683 |
transcript.whisperx[238].end |
7209.946 |
transcript.whisperx[238].text |
主席 |
transcript.whisperx[239].start |
7211.994 |
transcript.whisperx[239].end |
7240.593 |
transcript.whisperx[239].text |
那所以你有保護的機制啦不要一天到晚停藥一天到晚沒有藥用這個是很糟糕我去年給大家統計一下我們那個體系的藥就缺了21種21種就真的是藥廠缺藥所以我們對這個非常敏感那這另外一個問題就是以前用PVS就是用Price Volume Survey那你現在用DET這差不多都大同小異啦 |
transcript.whisperx[240].start |
7242.518 |
transcript.whisperx[240].end |
7270.353 |
transcript.whisperx[240].text |
這個還要改變嗎?我今天有一個提案要廢止我們重來不過跟委員報告這個是牽涉到整個健保的總額因為每年的健保的總額有一定的成長那麼第一梯是它的目標藥費支出的成長是跟著總額的成長浮動所以如果說這個藥費的第一梯制度 |
transcript.whisperx[241].start |
7271.013 |
transcript.whisperx[241].end |
7296.703 |
transcript.whisperx[241].text |
目標沒有的時候那怎麼樣去適當的管控這個藥費的成長避免排擠到醫療費用這個也是需要來一併思考的還有這裡我要跟署長報告的就是說我給你請教我們一直講說藥會佔了我們健保費用的25%差不多25、26%如果沒有這個調整前的話是到28% |
transcript.whisperx[242].start |
7299.241 |
transcript.whisperx[242].end |
7307.615 |
transcript.whisperx[242].text |
為什麼我們的藥費的比例佔比會那麼高是因為我們其他的醫療行為的價格太低啦 |
transcript.whisperx[243].start |
7308.533 |
transcript.whisperx[243].end |
7329.871 |
transcript.whisperx[243].text |
就是說點數太低在國外、在美國、在日本他們不太去care藥費所佔的比例那因為台灣便宜啦,大家都很便宜開桌也便宜、醫生也便宜,包括你也很便宜所以這樣是不對的一定要讓這些醫生做醫生要做的有時候做有時候要做的那這樣 |
transcript.whisperx[244].start |
7330.812 |
transcript.whisperx[244].end |
7330.832 |
transcript.whisperx[244].text |
致詢 |
transcript.whisperx[245].start |
7351.343 |
transcript.whisperx[245].end |
7356.225 |
transcript.whisperx[245].text |
所以部長你也是臨床醫師轉過來我們的署長你也是臨床醫師、急診醫師所以要如何讓這個醫界的 |
transcript.whisperx[246].start |
7381.429 |
transcript.whisperx[246].end |
7397.798 |
transcript.whisperx[246].text |
有價量要同等所以這塊要往上加我完全不反對你這個藥品的第一梯什麼要重新檢討但是這個地方的一定要當然volume增加這個很重要不然你當臨床醫師這裡追臨床醫療這樣是 |
transcript.whisperx[247].start |
7402.215 |
transcript.whisperx[247].end |
7426.3 |
transcript.whisperx[247].text |
這目前我們也是在想辦法改善當中那整個健保的基金我們看能不能適度的予以擴充大概是這位不行的就用公務預算來挹注公務預算也是挹注到健保所以我剛剛講是健保基金不夠就是整個volume要增加不用怕大家一起努力好不好謝謝 |
transcript.whisperx[248].start |
7431.181 |
transcript.whisperx[248].end |
7434.063 |
transcript.whisperx[248].text |
好 我們謝謝蘇清泉委員的質詢好 接著我們請王一鳴委員質詢好 謝謝主席那我們請部長跟食藥署署長部長請還有署長 |
transcript.whisperx[249].start |
7464.466 |
transcript.whisperx[249].end |
7478.871 |
transcript.whisperx[249].text |
這次蘇丹紅事件我覺得它不只是一個系統性事件而且還是一個重大實案事件為什麼本席要說它是重大這次整個輻射的範圍坦白講是非常的大 |
transcript.whisperx[250].start |
7479.611 |
transcript.whisperx[250].end |
7483.513 |
transcript.whisperx[250].text |
食藥署本來是預定這個禮拜一你們說你們會查完結果昨天對外說沒有辦法那也告訴大家說不保證市場沒有問題所以本席已經看到這次的蘇丹紅事件他的規模可能會有點像2013年的毒澱粉事件 |
transcript.whisperx[251].start |
7500.063 |
transcript.whisperx[251].end |
7519.92 |
transcript.whisperx[251].text |
就是說所波及的很多的這些食品其實滲透的範圍非常的廣泛所以在這樣的一個情況底下我有兩個具體的建議第一個具體的建議因為是重大食安事件目前我們看到16個縣市是由地方政府他主動發起說這個 |
transcript.whisperx[252].start |
7522.423 |
transcript.whisperx[252].end |
7545.737 |
transcript.whisperx[252].text |
暫時禁用辣椒粉暫時停止辣椒粉進到營養午餐不管他用了多少但是先禁用我覺得這個是一個對的我看到有一些地方政府有點後知後覺包括像嘉義縣政府教育局他說什麼他說我們沒有問題的品項流入嘉義縣所以可以不用 |
transcript.whisperx[253].start |
7547.109 |
transcript.whisperx[253].end |
7563.9 |
transcript.whisperx[253].text |
兩位敢保證嗎沒有問題的品項流入嘉義縣昨天你們公布的就有兩家廠商各有3612公斤跟2439公斤兩家食品廠這個時候誰敢保證沒有蘇丹紅色素流入任何一個縣市部長你敢保證嗎 |
transcript.whisperx[254].start |
7566.447 |
transcript.whisperx[254].end |
7584.158 |
transcript.whisperx[254].text |
當然因為它銷到哪一個縣市去的話,我們還是要循線去追查是啊,還在追查中啊,所以我有點擔心的就是說,各縣市的教育人員他們的判斷有點失準那有的縣市人員竟然說,我們那個有問題的都已經下架了,所以呢我們這個縣市沒問題 |
transcript.whisperx[255].start |
7586.9 |
transcript.whisperx[255].end |
7607.901 |
transcript.whisperx[255].text |
連衛福部都不敢保證現在市場的產品就是不敢保證市場上面沒問題但是有的教育人員竟然說我們這個管制我們沒問題我覺得不可以各行其事所以第一個我具體給部長的建議因為這是重大系統性的食安事件所以有一致性的標準不要讓各個縣市他們各自解讀 |
transcript.whisperx[256].start |
7608.462 |
transcript.whisperx[256].end |
7629.204 |
transcript.whisperx[256].text |
而這件事情更沒有藍綠線式的問題我覺得應該就是一致性的標準就像剛剛部長你講的因為辣椒粉學校營養午餐它不見得使用很大量就是因為這樣子也不會有任何的影響那你直接這一段時間在你們還未查明之前我們就把它禁掉是不是讓所有的家長更安心 |
transcript.whisperx[257].start |
7630.117 |
transcript.whisperx[257].end |
7642.04 |
transcript.whisperx[257].text |
部長你覺得有沒有道理這是可以考慮的因為我剛剛講過嘛因為在血統的部分的話其實吃辣的並不是一個很普遍的習慣對但是他可能還是會誤食所以我覺得啦本期具體件我當然也會有領提我們來討論我主張應該因為它是重大系統性的食安事件暫停一段時間也不會對任何的這個營養午餐供應商產生任何的問題所以我覺得這個是 |
transcript.whisperx[258].start |
7657.083 |
transcript.whisperx[258].end |
7673.954 |
transcript.whisperx[258].text |
讓學童讓家長更安心的一個做法應該全國一致第二個我認為應該比照2013年的這個毒澱粉事件後來衛生署所頒定的這件事情剛剛部長一直說我們是由上而下一直查我們從原料加工到零售 |
transcript.whisperx[259].start |
7674.574 |
transcript.whisperx[259].end |
7694.717 |
transcript.whisperx[259].text |
但是這樣的一個速度坦白講是緩慢的我們到目前查了一個月還有很多的漏網之魚在市面上就是繼續在賣那這件事情我覺得比照2013年毒澱粉事件後來衛生署的處理我覺得很好他就下令要求各個你現在要供應這個辣椒粉 |
transcript.whisperx[260].start |
7695.197 |
transcript.whisperx[260].end |
7714.242 |
transcript.whisperx[260].text |
就是食物的廠商你自行自清就是說本店所使用的辣椒粉不含蘇丹紅色素那業者他可以有兩種做法大型的連鎖店你自己趕快去驗你現在所使用的你要確定你這個本身沒有蘇丹紅色素 |
transcript.whisperx[261].start |
7714.782 |
transcript.whisperx[261].end |
7724.473 |
transcript.whisperx[261].text |
那你透過這種大型的連鎖店他們自己願意自主送驗會加快你的速度昨天本席就接到辦公室就接到這個連鎖的這個早餐店我覺得應該要嘉獎這位人員他說 |
transcript.whisperx[262].start |
7729.679 |
transcript.whisperx[262].end |
7755.624 |
transcript.whisperx[262].text |
他發現他們總公司現在呢就只有告訴他說如果你有用到蘇丹紅就不要用就這樣但是呢他們也沒有一個督導制度也沒有一個強制性的做法那所以他認為現在這樣子只是說用呼籲的這樣子的說法可能會有很多這個食安上面的風險我覺得這一位從業人員真的要獎勵他他自己有這樣的sense |
transcript.whisperx[263].start |
7756.444 |
transcript.whisperx[263].end |
7775.029 |
transcript.whisperx[263].text |
所以他認為說像是這些聯鎖加盟的業者他們應該要發揮業者的這個主動的精神那他現在發現說有的地方政府他反映這件事情他就說那這個就是等上面通知啊他們是等時要數你們公告之後哪些有問題他才可以再往下查 |
transcript.whisperx[264].start |
7775.609 |
transcript.whisperx[264].end |
7793.789 |
transcript.whisperx[264].text |
所以剛剛也有委員在說那我們現在後市場主動去查驗的量夠不夠就現有的產品或者是說它本身是這一種加盟店的店我們主動去查驗看起來沒有現在都是等著食藥署公告上游廠商之後從這邊往下查那所以本期具體建議就是說其實可以比照2013年的這樣的做法 |
transcript.whisperx[265].start |
7797.593 |
transcript.whisperx[265].end |
7824.04 |
transcript.whisperx[265].text |
讓大型的這一些供應的食品廠自主再去加驗然後去貼公告本店就是經過你有拿到那個證書就是說你使用你可以繼續使用你這個含有辣椒的產品但是他不含蘇丹紅我覺得這個是一個加快速度的做法那另外一個也讓下游的這一些廠商他可以往上去要求就是你今天供應商你要供應給我對不對你出去證明 |
transcript.whisperx[266].start |
7825.24 |
transcript.whisperx[266].end |
7854.66 |
transcript.whisperx[266].text |
證明說你的辣椒粉不含蘇丹紅所以他也可以拿著上游的廠商給他這個證明因為他店比較小他不可能自己驗就是說你上面你要供應給我的中韓商你就出去這個證明我就可以貼出來這個在座我不曉得大家有多少人經歷那個當時那個毒澱粉事件後來你去看那個珍珠奶茶那個肉圓店小到小吃攤他都會掛一個公告他在告訴消費者說本店不使用申訂希爾酸 |
transcript.whisperx[267].start |
7855.22 |
transcript.whisperx[267].end |
7875.691 |
transcript.whisperx[267].text |
所以我覺得這個才是一個我們目前可以加快速度的做法我很怕你們繼續這樣由上而下慢慢查坦白講再一個月可能查不完量太大了報告委員其實一開始的時候我們就有這一個措施我們也通知了一些食品業者那我想這我們宣導不夠我們再加強宣導就讓他們自主檢驗 |
transcript.whisperx[268].start |
7876.431 |
transcript.whisperx[268].end |
7894.336 |
transcript.whisperx[268].text |
而且你要要求 而且給他們一段時間當時是加上你們的行政裁罰就是說如果你公告了之後再被驗出來也是有事情的就是說你等於是雙重然後呢 因為這次爆發的我發現業者的自主查驗做得真的很不好幾家大廠 |
transcript.whisperx[269].start |
7895.296 |
transcript.whisperx[269].end |
7912.531 |
transcript.whisperx[269].text |
我就想說如果上面的供應商是有問題的我們不是食安法有規定嗎你達到一定規模的你是要自主去檢驗你這些原料半成品的結果我發現他們都沒有做啊他們都是被動等你們通知那你們通知有的還第一時間否認說沒有我的沒問題然後再突然又改口說我的有問題有的還是上市上櫃 |
transcript.whisperx[270].start |
7918.737 |
transcript.whisperx[270].end |
7942.055 |
transcript.whisperx[270].text |
那個你們回去查你們針對上市上櫃的要求他有的還要自設實驗室就是那個規模結果我覺得現在好像通通都沒有落實所以守護食安政府有絕對的責任但是如果整個食安要做好你必須把業者他的這種自主性也要拉進來而且要求他要到位 |
transcript.whisperx[271].start |
7942.475 |
transcript.whisperx[271].end |
7970.811 |
transcript.whisperx[271].text |
要不然我們的這個食安你看這一次這個系統性的風暴一出現之後你就會發現說食藥署你的人力加上地方的人力你這樣子由上而下一直查那個的速度是不夠的所以由下而上就是在加這一道力量你才可以用最快的時間把這一次的蘇丹紅的風暴就是盡快的收尾要不然你們說這個禮拜我就會查完我敢保證啦 |
transcript.whisperx[272].start |
7972.092 |
transcript.whisperx[272].end |
7997.831 |
transcript.whisperx[272].text |
還沒有啦因為這一次的這個辣椒粉它的特殊性太高了隨隨便便就是大家都會用到它擴散的我們台灣這麼多小吃其實都有可能已經沾染到了那你現在只能就是把它劃一個最後就是處理你所有的邊境已經都禁止了那你現在就是要把已經在市場流竄的這一些趕快透過加入業者的自主檢驗 |
transcript.whisperx[273].start |
7998.792 |
transcript.whisperx[273].end |
8007.606 |
transcript.whisperx[273].text |
然後雙重的讓這一個趕快就是可以順利的收尾部長你同意這我們就來加強這個推動跟宣導 |
transcript.whisperx[274].start |
8008.612 |
transcript.whisperx[274].end |
8026.09 |
transcript.whisperx[274].text |
好,不是宣導喔,還要加上你的行政要求喔,你們回去看一下當時毒澱粉事件,它最後的處理方法本期是覺得這一次的事件跟那個有相近性,當時澱粉也是我們應用性非常廣這一次是辣椒粉,也是使用的非常廣泛,所以當時2013年的這個最後衛生署想出來的這個處理模式 |
transcript.whisperx[275].start |
8030.755 |
transcript.whisperx[275].end |
8030.855 |
transcript.whisperx[275].text |
謝謝王委員、謝謝部長 |
transcript.whisperx[276].start |
8066.602 |
transcript.whisperx[276].end |
8067.102 |
transcript.whisperx[276].text |
法定人數不足 |
transcript.whisperx[277].start |
8085.544 |
transcript.whisperx[277].end |
8085.905 |
transcript.whisperx[277].text |
委員會主席 |
transcript.whisperx[278].start |
8528.476 |
transcript.whisperx[278].end |
8552.393 |
transcript.whisperx[278].text |
好 那我們繼續開會接下來我們請圖全級委員進行諮詢好 那請一下我們薛部長好 有請部長 |
transcript.whisperx[279].start |
8557.837 |
transcript.whisperx[279].end |
8584.149 |
transcript.whisperx[279].text |
委員好部長那今天因為今天我看今天大家也是針對我們蘇丹紅的事件因為媒體一直在報導那記得在那天委員會的時候有詢問就是說這個部分其實在去年我們邊境查驗就已經查獲9件查獲9件那我說為什麼行政院3次的食安匯報還有一次的我們食安專報總檢討都沒有提到這個問題 |
transcript.whisperx[280].start |
8587.31 |
transcript.whisperx[280].end |
8607.73 |
transcript.whisperx[280].text |
那我記得我們部長好像回覆說,你說這個問題是需要累積的,是不是這樣?對,因為其實是七件啦,去年是七件,七件是分布在不同的月份那我們納悶的是,其實他短短不到一年的時間就已經查獲了九件,那九件這樣子累積數量還不夠嗎? |
transcript.whisperx[281].start |
8609.582 |
transcript.whisperx[281].end |
8629.507 |
transcript.whisperx[281].text |
對,所以到後來我們就是變成100%的抽菸的原因就在所以今天我也是提醒一下部長像這個你看即使已經查過那麼多件當下如果我們趕快超前部署趕快處理我覺得這個蘇丹雄事件應該不會爆發到這種程度前面第一時間沒有處理好你看後來到後市場端 |
transcript.whisperx[282].start |
8630.167 |
transcript.whisperx[282].end |
8643.741 |
transcript.whisperx[282].text |
現在到已經一發不可收拾而且到底有多少食品我相信一定是陸陸續續爆發已經變成不是辣椒粉咖哩粉連很多的食品只要有染色顏色的問題我看都有摻這個蘇丹紅 |
transcript.whisperx[283].start |
8646.183 |
transcript.whisperx[283].end |
8660.17 |
transcript.whisperx[283].text |
所以我們現在準備要做的一件事情就是我們會把特點像蘇丹紅這類的不應該出現在食品裡面的這種工業燃料、工業原料的話我們會把它列為所謂的高危的這一個 |
transcript.whisperx[284].start |
8663.753 |
transcript.whisperx[284].end |
8669.276 |
transcript.whisperx[284].text |
那我想請問一下你們民進黨高層有沒有受益說我們520之後我們部長還有我們的食藥署署長有沒有機會繼續留任?署長是事務官那所以520會影響到的是我 |
transcript.whisperx[285].start |
8689.624 |
transcript.whisperx[285].end |
8714.896 |
transcript.whisperx[285].text |
那部長你自己的看法呢?所以部長還是如果有機會還是繼續留任嗎?那署長有沒有意願繼續留任?還是看上面的意思?因為今天國民黨有召開記者會要求我們吳署長應該要下台負責我想了解一下署長對自己這件事情的看法 |
transcript.whisperx[286].start |
8715.814 |
transcript.whisperx[286].end |
8716.414 |
transcript.whisperx[286].text |
圖委員好 |
transcript.whisperx[287].start |
8744.265 |
transcript.whisperx[287].end |
8763.352 |
transcript.whisperx[287].text |
市署長我最近因為針對那個陸配入籍的問題有影響到健保的問題那我想請問一下我們外籍人士在臺灣他來有持居留文件之後他什麼條件下可以參加健保 |
transcript.whisperx[288].start |
8765.134 |
transcript.whisperx[288].end |
8786.668 |
transcript.whisperx[288].text |
我們是根據這個健保法第9條的規定如果有居留證明文件之後那麼分成三種樣態一種是如果是受僱受聘的話那麼立刻就可以加入健保沒關係我們簡單回答那正常有居留文件數滿6個月就可以參加健保如果是受僱的話馬上就可以加入健保 |
transcript.whisperx[289].start |
8787.108 |
transcript.whisperx[289].end |
8815.903 |
transcript.whisperx[289].text |
那如果沒有受雇的情形下的話就要有6個月那我請問一下這些外籍人士他有包含這個入港澳嗎?就是像大陸啊澳門啊香港這些都是履照辦理所以所有的外籍人士包含入配包含入港澳這些都是在外籍人士所以他正常來講規範都是一樣的嘛 |
transcript.whisperx[290].start |
8816.463 |
transcript.whisperx[290].end |
8833.952 |
transcript.whisperx[290].text |
我們是在健保法第8條規定具有中華民國國籍我國國籍第9條是沒有國籍的所以這個參加健保並不會因為他陸配入籍6年或4年其實他的規範是一樣的只要來台居留滿他的規範是一樣的對不對 |
transcript.whisperx[291].start |
8835.472 |
transcript.whisperx[291].end |
8863.733 |
transcript.whisperx[291].text |
這個條件是一個是居留證明文件那這個陸配的並不會因為陸配6年4年的關係影響陸配沒有影響對所以都是一樣的對好那所以我們就說陸港澳及外籍人士只要持有居留文件並在台居留滿6個月他的條件是一樣都可以參加健保而且我們的準總統當選人賴清德之前也有講他說健保牽涉的是我們的健康人權 |
transcript.whisperx[292].start |
8864.594 |
transcript.whisperx[292].end |
8893.68 |
transcript.whisperx[292].text |
所以人權是沒有國界的那當然包含我們的外配陸配等等他居然已經嫁來臺灣我覺得嫁來臺灣他就是我們的家人那居然是我們的家人我們就不應該要有所歧視對不對目前的話外籍配偶的條件都一致沒有錯對嘛所以基本上他這個參加健保還有我們賴清德有講這個人權無國界然後我覺得說嫁來臺灣大家都是平等的對待那所以我們 |
transcript.whisperx[293].start |
8894.96 |
transcript.whisperx[293].end |
8922.327 |
transcript.whisperx[293].text |
針對我們民進黨政府他在兩公約第三次國家報告的時候都會講大陸配偶來台取得身份證的年限調整與外籍配偶一致已經拧聚臺灣地區與大陸地區人民關係條例第17條的新修正草案現在就等立法院完成這個立法的程序所以這個當初就是我們民進黨提出的那我們來講政黨在政策的 |
transcript.whisperx[294].start |
8923.007 |
transcript.whisperx[294].end |
8941.404 |
transcript.whisperx[294].text |
延續上是沒有分政黨的所以當初民進黨提出這個還沒有完成那我請問一下我們國民黨接續完成哪裡有什麼不對不過跟委員報告剛剛講的是在配偶本身那麼權益不論是哪個國籍大家權益相當不過呢是最主要是在 |
transcript.whisperx[295].start |
8942.385 |
transcript.whisperx[295].end |
8964.741 |
transcript.whisperx[295].text |
陸配的依親的規定上呢那麼跟其他是有不一樣那依親的那一塊確實因為年紀都是比較大的那對健保的影響那當然就是會涉及到繳少用多的問題所以我說這個目標其實大家是一致的嘛既然嫁來台灣就是我們家人我們就不應該有所歧視嘛那我請問一下據我們 |
transcript.whisperx[296].start |
8965.862 |
transcript.whisperx[296].end |
8972.794 |
transcript.whisperx[296].text |
署長你這邊來了解一般外籍配偶來台他大部分的年齡 大部分年齡大概在什麼年齡層 |
transcript.whisperx[297].start |
8975.113 |
transcript.whisperx[297].end |
8995.032 |
transcript.whisperx[297].text |
當然都是比較年輕的啦這個根據當然在健保裡面是不會去特別去註記你是外籍配偶啦但是勾結起來當然他的這個對啊所以一般就是比較年輕的嘛那我們以正常常態我們可以知道一般比較年輕力壯其實他看病的機會數是會比年長人少 |
transcript.whisperx[298].start |
8996.243 |
transcript.whisperx[298].end |
9008.57 |
transcript.whisperx[298].text |
比例來講以我們現在就入籍配偶來講他現在的繳的保費跟醫療的支出大概是平衡的對啊所以我的意思是說還有就是說醫輕的問題像我們醫輕 |
transcript.whisperx[299].start |
9011.551 |
transcript.whisperx[299].end |
9036.617 |
transcript.whisperx[299].text |
據我們了解他這來台一清一年的名額也大概只有60個所以我們針對最近有一些很多的問題尤其我們民進黨政府還有我們這個主管單位我們常常針對假新聞假訊息我們都說要澄清要來打擊這假新聞假訊息可是我剛剛問了很多的問題目前這很多的假新聞假訊息都在流竄 |
transcript.whisperx[300].start |
9037.577 |
transcript.whisperx[300].end |
9059.717 |
transcript.whisperx[300].text |
不知道我們健保署針對這些很多的假新聞假訊息你們看到之後有沒有針對這些做一些調整跟委員報告現在的正義點主要可能在醫輕的部分因為醫輕剛剛也提到他的年齡上是比較高的醫療的使用率是高但是跟國人不同的是他是從加入健保之後才開始繳款 |
transcript.whisperx[301].start |
9060.317 |
transcript.whisperx[301].end |
9069.149 |
transcript.whisperx[301].text |
有關係我希望我們比照辦理來有時候主管單位針對假新聞假訊息我覺得還是要提出嚴正的說明那我們針對現在我們健保砍這個藥價我請問一下我們這個去年也爆發這個缺藥風波 |
transcript.whisperx[302].start |
9077.66 |
transcript.whisperx[302].end |
9102.414 |
transcript.whisperx[302].text |
那現在我們要調降這個藥價那會不會也造成大缺藥之亂跟我們報告這一次調價的時候我們都有通知廠商那麼可以在3月8號之前提出來如果有成本不敷那我們會重新調整到目前為止只有5個藥品提出來而已那我們也會暫時不調整它據我們了解現在好像調降的大部分都是慢性用藥對不對 |
transcript.whisperx[303].start |
9103.234 |
transcript.whisperx[303].end |
9103.334 |
transcript.whisperx[303].text |
好,謝謝委員好,謝謝 |
transcript.whisperx[304].start |
9130.674 |
transcript.whisperx[304].end |
9134.256 |
transcript.whisperx[304].text |
主席好,有請薛部長還有吳署長好,請薛部長、吳署長部長好、署長好 |
transcript.whisperx[305].start |
9159.244 |
transcript.whisperx[305].end |
9181.895 |
transcript.whisperx[305].text |
我們今天要談的就是缺藥問題嘛那我來自醫界所以對於這個缺藥問題也是感同身受不過我想大家更重視的就是如何能夠解決這樣的困境跟問題不過本席也認同也知道說其實健保缺藥的這個問題大家把它歸咎在健保藥價調整 |
transcript.whisperx[306].start |
9184.216 |
transcript.whisperx[306].end |
9207.691 |
transcript.whisperx[306].text |
這個不是唯一的因素這可能是其中一個因素可是並不是唯一的因素那我們也從這個貴組委的報告裡面知道其實缺藥的原因是相當相當的多包括我們目前所能夠了解的生產問題、供應問題還有國內需求增加的部分尤其是在後疫情的時代 |
transcript.whisperx[307].start |
9208.291 |
transcript.whisperx[307].end |
9221.909 |
transcript.whisperx[307].text |
很多的這些民眾尤其是兒童們會因為免疫負債造成某一些藥物的需求增加除了一些慢性病以外那這一部分因為三呼吸道感染所需要的這個藥物 |
transcript.whisperx[308].start |
9223.629 |
transcript.whisperx[308].end |
9246.529 |
transcript.whisperx[308].text |
某些抗生素真的是特別增加包括像這個部長很辛苦受到影響所以我想應該是通盤的來了解那如果針對某一類比較會容易造成這個市場需要而受影響的藥物希望能夠有更有效的方式來做處理所以的確缺藥是我們要非常重視而且要去努力解決的部分 |
transcript.whisperx[309].start |
9247.691 |
transcript.whisperx[309].end |
9261.827 |
transcript.whisperx[309].text |
我們也了解藥品短缺因素是非常非常多元的其中有一項就是會不會藥商有預期的心理希望能夠囤積原料用下一次要做調整的部分 |
transcript.whisperx[310].start |
9262.427 |
transcript.whisperx[310].end |
9288.939 |
transcript.whisperx[310].text |
那我們當然不希望不希望說藥商在這種情形之下他有進口的這個原料或者是生產的原料而不去生產那其實我們很希望說落實藥品的原料的進口管理是要有一個更好的方式請問一下部長或署長針對國內藥商進口原物料的相關數據這邊有沒有適當的掌握尤其是好請 |
transcript.whisperx[311].start |
9291.664 |
transcript.whisperx[311].end |
9292.685 |
transcript.whisperx[311].text |
囤積的可能性大概不大,因為這些都有效期的問題 |
transcript.whisperx[312].start |
9311.119 |
transcript.whisperx[312].end |
9337.247 |
transcript.whisperx[312].text |
是 了解 所以我們也希望這部分不是一個因素之一啦 能夠造成這種不當的影響的因素 盡量把它排除那我們如何針對這個有效解決缺藥的部分本席有下列的一些想法 包括強化藥品的這個供應的主動監控那其實在去年監察院的報告裡面就告訴我們說 |
transcript.whisperx[313].start |
9338.787 |
transcript.whisperx[313].end |
9357.034 |
transcript.whisperx[313].text |
藥商是否能依據必要通報來處置?檢察院發現,欠缺主動監測、查核和管理機制。不知道到目前為止已經半年的時間,有沒有再擬定改善計畫? |
transcript.whisperx[314].start |
9359.086 |
transcript.whisperx[314].end |
9374.993 |
transcript.whisperx[314].text |
這部分的話齁那其實是在必要藥品我們的品齁那個一共是多少的品項?有481 481項的品項這我們有做但是全國在用的藥那幾萬項的話大概沒有辦法全部都去看啦 |
transcript.whisperx[315].start |
9375.553 |
transcript.whisperx[315].end |
9391.08 |
transcript.whisperx[315].text |
是,所以如果已經有一些計畫的話那能不能夠提供免息素面資料以作為後續的追蹤那我們也知道其實推展國產的學民藥是一個未來的期待 |
transcript.whisperx[316].start |
9391.98 |
transcript.whisperx[316].end |
9392.16 |
transcript.whisperx[316].text |
請問目前所謂 |
transcript.whisperx[317].start |
9409.76 |
transcript.whisperx[317].end |
9433.233 |
transcript.whisperx[317].text |
預注適當資源有沒有安排哪一些的適當資源在裡面?該委員報告這有關於我們在鼓勵學民藥的這一個部分的話當然也會牽涉到經濟部經濟部他對於這個比方說CDMO或其他的這個我們國內的藥廠的一些鼓勵的措施在那個 |
transcript.whisperx[318].start |
9434.474 |
transcript.whisperx[318].end |
9448.541 |
transcript.whisperx[318].text |
也相關的法規裡面有那在衛福部這邊的話大概就是用健保的這個方法在健保上面的一些規範來做處理也就是說我們給予這個新發展的學民藥我們會給他這個比較好的一個合價的一個 |
transcript.whisperx[319].start |
9457.705 |
transcript.whisperx[319].end |
9458.706 |
transcript.whisperx[319].text |
再過來就是有關於庫存的部分 |
transcript.whisperx[320].start |
9480.999 |
transcript.whisperx[320].end |
9494.838 |
transcript.whisperx[320].text |
我們也了解建制中盤藥商的藥品監測機制是有他主動監測的部分請問除了主動監測以外我們還有沒有其他可以主動的作為 |
transcript.whisperx[321].start |
9496.48 |
transcript.whisperx[321].end |
9517.922 |
transcript.whisperx[321].text |
這部分是一個我們新的措施,那要處理的對象主要是社區的藥局還有我們一些診所因為這些診所和社區藥局大概很少能夠直接跟廠商直接訂貨,因為量不夠大 |
transcript.whisperx[322].start |
9518.442 |
transcript.whisperx[322].end |
9538.31 |
transcript.whisperx[322].text |
所以很多都是透由中盤商來做處理所以中盤商他就會有調度的這種可能性所以在這裡的話我們新的措施裡面就是我們去監測中盤商那哪一些藥如果被通報這一個有缺藥的時候我們就去看中盤商的 |
transcript.whisperx[323].start |
9541.155 |
transcript.whisperx[323].end |
9548.892 |
transcript.whisperx[323].text |
中環商進出狀況沒有異常的話,我們會請中環商就直接去分配,因為大概就會分配出問題 |
transcript.whisperx[324].start |
9550.066 |
transcript.whisperx[324].end |
9569.714 |
transcript.whisperx[324].text |
OK 好 謝謝部長的說明和這方面的努力那我們再過來可以瞭解藥品供應通報處理中心那這一部分不知道這個中心有沒有被賦予什麼樣的具體任務因為去年就是2023年4月11號貴單位為了要因應全球性缺藥問題而啟動了這個通報中心 |
transcript.whisperx[325].start |
9572.815 |
transcript.whisperx[325].end |
9599.233 |
transcript.whisperx[325].text |
所以這個中心我們所看到的就是這是一個平台那把五個平台的這個網路連結在這個我們的網路上面我們看到的就是包括有西藥供應平台、中藥還有公費傳染疫苗、兒童困難取得、罕病等等那這部分不曉得有沒有具體任務要透過這個處理中心來處理哪一些的事情 |
transcript.whisperx[326].start |
9600.827 |
transcript.whisperx[326].end |
9621.092 |
transcript.whisperx[326].text |
這部分的話那每一個這五大類的話都有一些特殊性的比方說那個罕見疾病的這個部分的話這物流中心他會去監測到底我們整個國內的剩下存量是不是對於這罕病所需要的是夠不夠如果不夠的話就要去採購那 |
transcript.whisperx[327].start |
9626.819 |
transcript.whisperx[327].end |
9640.771 |
transcript.whisperx[327].text |
業務比較大的應該是在西藥的這個部分是的確那我們可以往下看可以瞭解說目前這個平臺的運作狀況西藥供應平臺的確是隨時在滾動對不起我再多兩分 |
transcript.whisperx[328].start |
9642.208 |
transcript.whisperx[328].end |
9664.344 |
transcript.whisperx[328].text |
有在做這個即時更新可是中藥到目前一年都沒有更新還有其他的部分所以我們很期待這個運作還可以能夠更及時去反映出這個供應的這些問題我們可以往下看就知道說依照這個西藥供應平台他已經很努力的在作業那也透過這個通 |
transcript.whisperx[329].start |
9665.825 |
transcript.whisperx[329].end |
9679.291 |
transcript.whisperx[329].text |
包括缺藥來執行相關透過食藥署的評估進入到有替代方案、無替代方案還有其他廠商的這個輸入來辦理如果有缺藥的時候可以作業的模式那我們可以再往下看 |
transcript.whisperx[330].start |
9680.575 |
transcript.whisperx[330].end |
9702.848 |
transcript.whisperx[330].text |
那其中有一個問題,一個實務的困境就是當藥品短缺現象透過這個平台去緩解以後那曾經為了要緩解幫助緩解的這個廠商他如果提供了藥物那這種狀況造成說新的要來幫助緩解這個藥物不足的部分結果他進來了 |
transcript.whisperx[331].start |
9704.249 |
transcript.whisperx[331].end |
9704.689 |
transcript.whisperx[331].text |
我是請食藥署署長來回答 |
transcript.whisperx[332].start |
9728.066 |
transcript.whisperx[332].end |
9755.893 |
transcript.whisperx[332].text |
因為通報的業者其實都會跟我們說他大概是有多少時間他需要等於是有一些藥品的短缺所以我們在徵求專案製造或專案輸入的時候也會保障這一些來協助我們的業者他們不至於做了以後結果本來在賣那個藥品進來了就沒有人要買他的所以我們有這樣的時間之內不會讓那個藥品再輸入就是你已經跟我說不能輸入了所以已經有其他出來要做專案輸入的 |
transcript.whisperx[333].start |
9756.673 |
transcript.whisperx[333].end |
9757.293 |
transcript.whisperx[333].text |
好,那了解了,謝謝 |
transcript.whisperx[334].start |
9784.056 |
transcript.whisperx[334].end |
9791.521 |
transcript.whisperx[334].text |
好,我們謝謝王振旭委員的質詢接下來我們請林德福委員質詢謝謝主席,是不是請薛部長好,有請部長 |
transcript.whisperx[335].start |
9811.397 |
transcript.whisperx[335].end |
9835.356 |
transcript.whisperx[335].text |
委員好部長你好部長因為麻疹傳染力高那被我國歸類在第二類的傳染病可藉由空氣包括灰末傳染那根據媒體的報導世界衛生組織這個在今年2月示警除非採取緊急防範的措施否則到了今年年底 |
transcript.whisperx[336].start |
9836.337 |
transcript.whisperx[336].end |
9853.912 |
transcript.whisperx[336].text |
全球有差不多超過半數的國家會面臨麻疹的疫情那爆發的風險將達到高或非常高的程度那請問薛部長我國今年面臨麻疹疫情爆發的風險比例 |
transcript.whisperx[337].start |
9855.316 |
transcript.whisperx[337].end |
9856.837 |
transcript.whisperx[337].text |
所以說我希望說衛福部要有所準備去因應 |
transcript.whisperx[338].start |
9879.957 |
transcript.whisperx[338].end |
9907.217 |
transcript.whisperx[338].text |
所以在這個部分我們主要的是疫苗要開疫苗來去做阻擋那目前的公費疫苗大概庫存還有5萬支那我們優先是會打在醫護人員因為我知道那個當然是應該優先因為最近本席的選區裡面包括中和永和有病例發生那曾有專家建立1981年後出生的 |
transcript.whisperx[339].start |
9908.118 |
transcript.whisperx[339].end |
9911.081 |
transcript.whisperx[339].text |
請問衛福部目前麻疹疫苗供應北北基桃醫療單位的情況 |
transcript.whisperx[340].start |
9929.679 |
transcript.whisperx[340].end |
9943.146 |
transcript.whisperx[340].text |
目前如何目前的話我剛剛報告過目前的公費疫苗大概庫存還有5萬支只有5萬支而已但是在封建檢驗中的有6萬所以加起來會有11萬那以北北基島應該的這個醫護人員的使用 |
transcript.whisperx[341].start |
9946.167 |
transcript.whisperx[341].end |
9958.784 |
transcript.whisperx[341].text |
議務人員對那未來是否會有缺貨的問題呢?你們有沒有去規劃?所以我們現在正在爭取那國際的這個疫苗廠商那我希望他們要及早供應給我們這個我們正在跟他們洽談 |
transcript.whisperx[342].start |
9961.468 |
transcript.whisperx[342].end |
9980.689 |
transcript.whisperx[342].text |
因為這個我是擔心說會不會排擠一些新生兒接種這個麻疹的疫苗因為你用在醫護人員身上那當然還有一些必要的那這個新生兒有時候需要接種這些麻疹疫苗的時候他等於是會排擠到他們本來可以用的 |
transcript.whisperx[343].start |
9981.129 |
transcript.whisperx[343].end |
9983.37 |
transcript.whisperx[343].text |
若民眾要是有感染麻疹,依目前整個治療方式以支持 |
transcript.whisperx[344].start |
10009.636 |
transcript.whisperx[344].end |
10010.096 |
transcript.whisperx[344].text |
這部分的話是 |
transcript.whisperx[345].start |
10026.543 |
transcript.whisperx[345].end |
10052.698 |
transcript.whisperx[345].text |
因為本期以公會流感疫苗為例去年採購數量為698萬劑但是病毒株不同所以WHO建議每年都要施打一次反觀麻疹疫苗的效率注射是15年後才開始下降 |
transcript.whisperx[346].start |
10053.618 |
transcript.whisperx[346].end |
10069.721 |
transcript.whisperx[346].text |
接種一次它的保護力可以有這個好多好多年不需要每年環顧的去施打那請問衛福部有沒有考量要以專案的方式來處理全民啊補接種這些麻疹疫苗有沒有 |
transcript.whisperx[347].start |
10070.982 |
transcript.whisperx[347].end |
10093.05 |
transcript.whisperx[347].text |
目前的話全民去補接種的話是比較不切實際的因為這還是有疫情的高低起伏的一個問題但是現在的小孩子他的常規疫苗的施打裡面其實麻疹疫苗這個是算在裡面的我希望衛福部在這方面要及早的去因應去規劃好不好好謝謝 |
transcript.whisperx[348].start |
10094.854 |
transcript.whisperx[348].end |
10106.777 |
transcript.whisperx[348].text |
好 謝謝林德福委員的質詢那等一下委員會等林淑芬委員質詢完畢之後我們處理臨時提案麻煩通知各位委員接下來我們請王紅薇委員進行質詢好 謝謝主席我請薛部長好 請部長 |
transcript.whisperx[349].start |
10124.613 |
transcript.whisperx[349].end |
10129.294 |
transcript.whisperx[349].text |
今天在經濟委員會有關電價上漲的專案報告大家都非常非常關心電價上漲會引發通膨、物價上漲 |
transcript.whisperx[350].start |
10148.678 |
transcript.whisperx[350].end |
10165.943 |
transcript.whisperx[350].text |
那我想請教部長你知不知道在我們各類消費物價上漲大家都知道食物類是上漲最多的食物類以外排名第二的類別您知道嗎這我倒是不清楚你不知道 |
transcript.whisperx[351].start |
10167.671 |
transcript.whisperx[351].end |
10179.101 |
transcript.whisperx[351].text |
所以我說現在整個的行政院對於未來可能物價上漲尤其電價帶動的通膨的壓力跟危機現在是麻木不仁的狀態好我給你看一個圖片 |
transcript.whisperx[352].start |
10182.616 |
transcript.whisperx[352].end |
10208.05 |
transcript.whisperx[352].text |
這個圖片不是我做的是我們國發會這兩天他也來這個立法院報告可以看到一月份CPI各類指數年增率食物類上漲最多排名第二的就是醫藥保健類了所以就是說在民眾整個的對於物價上漲的壓力裡面醫藥保健類是其中非常重要的一環可是啊部長 |
transcript.whisperx[353].start |
10209.051 |
transcript.whisperx[353].end |
10230.752 |
transcript.whisperx[353].text |
你們卻非常天才地選在這個時候要取消掛號費的上限我真的要請問你們到底要逼死誰啊怎麼會在這個時候這個節骨眼去取消掛號費上限然後說沒有關係啊你們各縣市啊自己去決定啊 |
transcript.whisperx[354].start |
10232.613 |
transcript.whisperx[354].end |
10255.191 |
transcript.whisperx[354].text |
部長,請問這個決策你有跟院長報告過嗎?這是我們本來做的所以不用跟部長報告那我們物價督導匯報的主持人應該是副院長因為這個取消上限也都不用跟副院長報告並不一定就是會漲價這要把它認出來什麼叫不會漲價?現在都已經在漲價了你到底在說什麼?來我們看 |
transcript.whisperx[355].start |
10256.732 |
transcript.whisperx[355].end |
10258.054 |
transcript.whisperx[355].text |
現在不都在漲價嗎?為什麼這些醫師一直不停的遊說呢?說我們成本升高了,不可以再管我們的掛號費了 |
transcript.whisperx[356].start |
10269.795 |
transcript.whisperx[356].end |
10293.375 |
transcript.whisperx[356].text |
你看現在包含民間監督、健保聯盟說未來可能連掛澳費都繳不出來沒有生命的權利然後蘇伊鳳醫師說快倒閉的醫生診所不可能漲價自救沒人選的賠錢科也不可能因此熱門只是打假球然後很多民眾說你主動去吃飯去政府化嗎這邊還沒有什麼消極會消極會也說他 |
transcript.whisperx[357].start |
10295.917 |
transcript.whisperx[357].end |
10318.277 |
transcript.whisperx[357].text |
一般來講當醫院或診所你的行政成本升高可以容許你可以提高但是你現在完全取消上限是什麼意思我們現在有一些私人的醫院這個掛號費是上千兩千多塊所以老實講我為什麼今天一定要來我是覺得我們今天政府是怎麼回事啊 |
transcript.whisperx[358].start |
10320.8 |
transcript.whisperx[358].end |
10331.895 |
transcript.whisperx[358].text |
經濟部要漲電價然後這個國發會已經告訴你了我們現在呢今年的這個CPI一定會超過2%2%是全世界認為一個物價通膨的一個指數超過就是物價通膨了 |
transcript.whisperx[359].start |
10338.264 |
transcript.whisperx[359].end |
10356.174 |
transcript.whisperx[359].text |
1.8再加上物價上漲然後你現在醫藥保健類已經是排名第二了這個時候你給我在那邊說漲就漲部長部長我要求我要求你收回成命啊你為一些廣大的這些消費者好好想一想好不好 |
transcript.whisperx[360].start |
10357.284 |
transcript.whisperx[360].end |
10383.93 |
transcript.whisperx[360].text |
他們面臨有一些他們是長期在那邊看病的你以為他們可以轉來轉去啊?我們沒有政府了嗎?我們是完全資本主義了嗎?我們對於物價上漲一點感覺都沒有嗎?我們這個政府麻木不仁嗎?認為這個物價上漲沒有關係嗎?然後你們自己衛福部自己做決定我今天會覺得奇怪,院長現在你們是整個整個的看守內閣然後是怎麼樣?想去 |
transcript.whisperx[361].start |
10384.79 |
transcript.whisperx[361].end |
10405.239 |
transcript.whisperx[361].text |
想去數饅頭的數饅頭想要去求官的求官怎麼會對一個醫藥保健類上長如此無感你無感民眾很有感啊民眾很痛苦所以部長我在這邊正式要求你們要收回成名你可以去研究怎麼樣比較合理而不是說我通通不管了我殺手不管了我要政府幹什麼啊 |
transcript.whisperx[362].start |
10411.321 |
transcript.whisperx[362].end |
10414.703 |
transcript.whisperx[362].text |
不能這樣講那你為什麼要取消三線有這樣子取消三線嗎你除了跟診所醫院去討論你有跟消費者討論過嗎你跟哪一個民間團體討論過 |
transcript.whisperx[363].start |
10427.231 |
transcript.whisperx[363].end |
10431.857 |
transcript.whisperx[363].text |
有跟看病的病人討論過嗎?你是醫生診所的醫院的衛福部嗎?怎麼會到這種地步?所以我這兩天看到這個覺得太莫名其妙了所以請你去跟陳介仁院長報告 |
transcript.whisperx[364].start |
10445.672 |
transcript.whisperx[364].end |
10474.548 |
transcript.whisperx[364].text |
你們把國發會找來你們把鄭文燦找來你們把所有跟物價相關經濟部找來說如果這個會造成物價更加上漲的話我們是不是應該改變我們是不是應該收回成命怎麼會政府這麼麻木到時候一定大亂哪有這個樣子我們不要政府啊政府該做的事情就應該要做我們會監測啦這一個瓜匯的情形我跟你講你不做你可能覺得現在沒有選舉你選選你敢做看 |
transcript.whisperx[365].start |
10475.35 |
transcript.whisperx[365].end |
10476.271 |
transcript.whisperx[365].text |
謝謝主席,有請衛福部部長 |
transcript.whisperx[366].start |
10504.929 |
transcript.whisperx[366].end |
10527.97 |
transcript.whisperx[366].text |
好 部長請 水帶著委員好部長你好 我想我本身也是接獲到選情許多的電話一直在跟我們抗議這件事情衛福部你取消掛號費上限這件事情對我們來說基層影響非常深那剛剛聽到部長你一直咳嗽 最近有去看醫生嗎還是看診所沒有 我自己處理 |
transcript.whisperx[367].start |
10529.051 |
transcript.whisperx[367].end |
10556.338 |
transcript.whisperx[367].text |
自己就處理了我想那我要跟你科普一下基本上台中我們的診所掛號費大概150甚至有的會部分減免50那台北就所調查大概250左右那我想就這樣子的掛號費來說我想民間都非常非常的希望衛福部應該重新思考審視廢除這樣子的規定我想政策政府的政策不應該是有錢人才有資格生病雖然這不是本席 |
transcript.whisperx[368].start |
10556.718 |
transcript.whisperx[368].end |
10577.873 |
transcript.whisperx[368].text |
今天總要質詢的一個內容範圍但是我要表達我的抗議那另外呢我想跟本席有一個重要議題想跟你探討一下部長第一梯事辦超過10年遇到缺藥就說要檢討第一梯請問過去10年是否跟藥界討論第一梯的一個檢討事項若有跟誰討論能不能跟現場每位委員來說 |
transcript.whisperx[369].start |
10580.16 |
transcript.whisperx[369].end |
10601.149 |
transcript.whisperx[369].text |
這都每年都有跟這一些藥界在做討論那至於對象是誰我是不是請我們署長來回答好是委員好跟委員報告那麼我們從去年開始就在討論這個第一梯的修正那跟這個九大工協會九大工協會包含進口商的還有在台學民要的大概都有在討論 |
transcript.whisperx[370].start |
10601.789 |
transcript.whisperx[370].end |
10628.562 |
transcript.whisperx[370].text |
那會後是不是可以提供會議紀錄呢?可以可以那我還是要跟您分享我所了解到的一些相關資訊跟你分享那我有幾個時間走想跟你分享106年3月劉建國委員受藥界八大工協會請理事長請託邀集健保署召開協調會我想原本答應但最後會後健保署是反悔那建國委員只好請陳時中部長自己向藥界八大工協會理事長來解釋 |
transcript.whisperx[371].start |
10631.123 |
transcript.whisperx[371].end |
10645.591 |
transcript.whisperx[371].text |
106年4月10日陳時中部長特別宴請八大工協會在北海漁村參宴我想當時參宴就有跟陳時中部長就有說明同意藥界要求近期召開修正的第一批會議 |
transcript.whisperx[372].start |
10646.631 |
transcript.whisperx[372].end |
10668.538 |
transcript.whisperx[372].text |
那108年3月我們也看到有這樣的新聞稿建保署發佈建保署依法調整藥價願積極與藥界檢討第一梯的計算公式我想112年2月27日我們也看到缺藥潮的一直在延燒衛福部又提出短中長期的因應策略在中期的部分食藥署跟健保署也都說要第一梯的檢討 |
transcript.whisperx[373].start |
10669.778 |
transcript.whisperx[373].end |
10693.104 |
transcript.whisperx[373].text |
我想這樣子一連串一直都說要檢討檢討到113年2月27日中國時報的報導健保砍藥價半年後恐缺藥草我想本席就自己本身有去請教過幾位藥界的大佬他們一致的都跟我說DET的事辦至今超過10年從來都沒有正式的跟開會跟藥界討論也沒有調整過我想部長我想請 |
transcript.whisperx[374].start |
10697.465 |
transcript.whisperx[374].end |
10710.935 |
transcript.whisperx[374].text |
聽清楚他們所說的是他們認為從來都沒有跟藥界討論過因此本席不僅要問106年陳時中部長近期所召開的修正研討第一題的會議何時會開會108年積極討論計算公式何時會開會112年食藥署健保署檢討的第一題制度什麼時候會開會 |
transcript.whisperx[375].start |
10720.121 |
transcript.whisperx[375].end |
10738.686 |
transcript.whisperx[375].text |
顯然我個人認為在我所探討的這些藥界大佬他們沒有覺得有一個固定的確定時間僅僅只是官方的一個美化我想這個部分本席希望主席能夠才是請衛福部確定究竟是一個月兩個月三個月還是半年一年還是四年兩年 |
transcript.whisperx[376].start |
10740.926 |
transcript.whisperx[376].end |
10765.733 |
transcript.whisperx[376].text |
來檢討召開這個第一梯的一個會議是不是能夠有一個確切的一個時間能夠建議邀請醫藥界的消費者代表還有相關的團體就召開第一梯的檢討會議創造三贏的第一梯會議讓藥價回到正常的醫療經濟學讓民眾可以用到高品質的藥物最後我想為免除民眾的恐慌請衛夫允諾 |
transcript.whisperx[377].start |
10767.073 |
transcript.whisperx[377].end |
10767.553 |
transcript.whisperx[377].text |
委員我可以回答嗎? |
transcript.whisperx[378].start |
10796.216 |
transcript.whisperx[378].end |
10819.441 |
transcript.whisperx[378].text |
我稍微說明一下因為剛剛有講到那其實去年有關於第一批的會議已經開了5、6次那最近一次會在1月13日3月13日召開啦所以說有關於會議紀錄我們都可以來做提供至於說開會的時候立委是不是可以參加我想這我們再研議看看 |
transcript.whisperx[379].start |
10820.936 |
transcript.whisperx[379].end |
10823.558 |
transcript.whisperx[379].text |
我可不可以邀請部長跟時署長好請部長跟時署長 |
transcript.whisperx[380].start |
10852.374 |
transcript.whisperx[380].end |
10865.339 |
transcript.whisperx[380].text |
部長辛苦了我們2月26號上個月開的那個藥價的那個調整會議的結果我們新的藥價是什麼時候生效?4月1號 |
transcript.whisperx[381].start |
10867.901 |
transcript.whisperx[381].end |
10893.594 |
transcript.whisperx[381].text |
當然今天召委特別排這個專案報告其實一定有它的意義在我們從各層面聽到各種不同的聲音包括藥師全聯會的黃金順理事長說預估半年後有可能發生缺藥潮也就是我看到媒體媒體在問你說會不會有缺藥的狀況發生部長你的回應說至今還沒接受到任何的資訊 |
transcript.whisperx[382].start |
10895.035 |
transcript.whisperx[382].end |
10911.847 |
transcript.whisperx[382].text |
今天沒有收到任何資訊不代表你藥價調整之後半年不會有問題我這樣講對不對這應該是說因為我們有這樣子一個通報的機制在那裡所以6個月前就必須必要藥品就是要做缺藥的一個通報所以 |
transcript.whisperx[383].start |
10912.688 |
transcript.whisperx[383].end |
10936.74 |
transcript.whisperx[383].text |
我們可以說那些必要的藥品有400多個部長今天專委排這個專案報告也就代表著你過去因為我們每一年都是二月份開藥價調整會議那也差不多如果有調整的話也差不多是類似像4月1號我們為什麼會排這樣的專案會議也就是說過去我們衛福部這個後面缺藥的處理的機制 |
transcript.whisperx[384].start |
10938.301 |
transcript.whisperx[384].end |
10959.91 |
transcript.whisperx[384].text |
顯然是有問題的我為什麼會這樣子說監察院在去年11月份的調查報告也有講啊就是說你的食藥署是勸缺主動稽查的管理機制不只是地區醫院社區醫院還有包括我們社區藥局事實上是有嚴重的缺藥問題這件事情以前沒有發生過 |
transcript.whisperx[385].start |
10963.251 |
transcript.whisperx[385].end |
10965.552 |
transcript.whisperx[385].text |
社區藥局剛好沒有這個藥不叫缺藥社區藥局就沒有買這個我能夠逼他買嗎? |
transcript.whisperx[386].start |
10982.761 |
transcript.whisperx[386].end |
10988.163 |
transcript.whisperx[386].text |
這個部長你不應該這樣跟我講那我覺得 因為跟地區醫院跟社區醫院溝通部長是你的責任喔施出處方簽之後民眾拿個處方簽到藥局去做調查部長那我就要說你大數據的管理要做得更好啊你應該跟教學醫院、社區醫院、地區醫院所有社區藥局你應該有一個雲端的管理部長 |
transcript.whisperx[387].start |
11008.21 |
transcript.whisperx[387].end |
11009.351 |
transcript.whisperx[387].text |
部長今天身體微漾,你先聽一下委員講 |
transcript.whisperx[388].start |
11025.222 |
transcript.whisperx[388].end |
11041.936 |
transcript.whisperx[388].text |
我覺得在管理系統顯然出現問題不管是社區醫院、社區藥局顯然大家都有可以調整的一個SOP的空間民眾買不到藥是會憤怒的這個憤怒端後面是你要去做承擔我這樣講沒錯吧 |
transcript.whisperx[389].start |
11043.597 |
transcript.whisperx[389].end |
11063.248 |
transcript.whisperx[389].text |
所以我覺得應該有一套更好的管理系統所以去年10月份監察院也提出報告就是說你應該在某一塊某幾塊你要去盡速的去做調整當然去年我也關注到你說有一定的比例要留給社區醫院因為他們採購會有問題那一定的比例包括你在2月24號在媒體採訪的時候你也提出來說我們要統一採購 |
transcript.whisperx[390].start |
11067.33 |
transcript.whisperx[390].end |
11092.768 |
transcript.whisperx[390].text |
那後來又說統一採購可能不是最好的方法這是你去年跟今年講的都不一樣的版本那現在解決的具體做法你可不可以告訴我是什麼本來統一採購就不是一個辦法本來要統一採購去年是你說的啊你去年的你今年的部長打去年的部長都是你說的我沒有要責罵你你可不可以告訴我你具體的解決方案是什麼 |
transcript.whisperx[391].start |
11094.957 |
transcript.whisperx[391].end |
11100.442 |
transcript.whisperx[391].text |
這個所謂的缺藥的話是主要有兩種情形一個是真正缺藥一個是調度的問題 |
transcript.whisperx[392].start |
11101.314 |
transcript.whisperx[392].end |
11125.794 |
transcript.whisperx[392].text |
那在調度的問題我同意有調度的問題所以調度的問題你要怎麼處理調度的問題我們現在是對於基層的這些社區藥局還有這個診所的部分我們藉由去監測中盤商那他的這個藥的進出的情況如果說有這種所謂的通報缺藥過來的話我們就會去檢測這個中盤商部長你後面要書面回答我 |
transcript.whisperx[393].start |
11128.516 |
transcript.whisperx[393].end |
11145.617 |
transcript.whisperx[393].text |
因為我覺得可以用大數據的分析包括近三年疾病跟用藥的趨勢然後未來推估接下來兩年可能熱門用藥的品項你怎麼樣去跟他們互動把大數據管理好那我覺得這是你未來要做的工作我希望可以做得好然後我快速的 |
transcript.whisperx[394].start |
11146.658 |
transcript.whisperx[394].end |
11166.154 |
transcript.whisperx[394].text |
馬整的疫情升溫我們當然我們現在優先因為你現在是控管這些所有可以施打的因為民間想自費買也買不到我尊重你我們現在有123項我們公費接種的對象那MMR的疫苗現在廠商控貨那要優先他優先供貨也會優先供貨給我們機關署 |
transcript.whisperx[395].start |
11169.036 |
transcript.whisperx[395].end |
11194.544 |
transcript.whisperx[395].text |
但是國際藥廠他現在跟我們回答的是說如果要買也排單也要半年後才有貨是典型的有藥但是民間是買不到甚至診所我為什麼這麼說有一些高風險群譬如說他必須常出國或必須跟外國人長期接觸的我們也希望這一類的高風險群有機會我不要說排在公費裡面他們自費但是他們有機會注射到 |
transcript.whisperx[396].start |
11195.584 |
transcript.whisperx[396].end |
11199.588 |
transcript.whisperx[396].text |
這部分的話在智慧疫苗的部分本來就還有一些庫存兩萬多那封面檢驗中的還有兩萬多支那四萬多支如果對這些經常要出國的他是夠啦 |
transcript.whisperx[397].start |
11214.202 |
transcript.whisperx[397].end |
11237.302 |
transcript.whisperx[397].text |
沒關係部長我只是提醒你有這一塊我接受到陳情有這一塊自費那他們也希望有機會他們常出國常接觸外國人去高風險群的國家感染者的國家我希望這一塊他們有機會注射到那這一塊怎麼處理給我一個書面更明確的答覆可能我們會藉由這一些所謂的理由醫院來處理這一塊好的謝謝謝謝部長好謝謝李燕秀委員的資訊 |
transcript.whisperx[398].start |
11243.342 |
transcript.whisperx[398].end |
11261.914 |
transcript.whisperx[398].text |
接下來我們請林淑芬委員進行質詢林委員質詢結束我們處理臨時題案主席各位大家午安了是不是還是請我們薛部長好部長請 |
transcript.whisperx[399].start |
11266.335 |
transcript.whisperx[399].end |
11294.468 |
transcript.whisperx[399].text |
委員好部長其實我還有那個蘇丹紅事件要跟你就教但是因為藥價的問題我跟我們新北市工會也稍微溝通了一下所以有幾個幾個簡單的問題也先再一次的這個反應我必須要說如果幾種藥品缺貨去換藥我覺得對市場或對用藥人來講這個影響這是無法避免的就沒有如果是幾種而已可是如果 |
transcript.whisperx[400].start |
11295.809 |
transcript.whisperx[400].end |
11319.297 |
transcript.whisperx[400].text |
在藥局看到的現象是缺藥而民眾退單的比例高達30%以上那它可能就不是這簡單的幾個問題所以變成換藥草的話那我們的確是要正視這個問題但你們一直講說是缺貨而不是缺藥或者是你們在談說三同等同的狀況就可以治療可是第一線的藥局的確發現 |
transcript.whisperx[401].start |
11323.14 |
transcript.whisperx[401].end |
11338.014 |
transcript.whisperx[401].text |
換藥時,比如說這個血壓藥為例,他們發現患者會反應說用以前的藥大概可以血壓控制維持在110可是你換了藥以後,他總是在怎麼控制都是180所以他只能夠回到大醫院裡面去領原廠藥或是原來的藥,他們的確是觀察到這個現象 |
transcript.whisperx[402].start |
11344.761 |
transcript.whisperx[402].end |
11365.274 |
transcript.whisperx[402].text |
另外一種就是管制性的藥品那因為管制性藥品的用藥人他本身就是很敏感的那你換藥的時候他的確就更敏感有可能是這樣子那特別排斥所以的確我們也有一些藥廠過去做了很多不應該做的事比如說很多年以前我揭發過的 |
transcript.whisperx[403].start |
11367.475 |
transcript.whisperx[403].end |
11367.996 |
transcript.whisperx[403].text |
所以我今天是希望說 |
transcript.whisperx[404].start |
11392.618 |
transcript.whisperx[404].end |
11411.032 |
transcript.whisperx[404].text |
這個部長這個你說三童三童這個東西要宣傳啊然後另外就藥局也一直老是講說因為社區藥局是我們分級醫療然後醫藥分業要專業化那我們也鼓勵嘉醫也鼓勵社區藥局 |
transcript.whisperx[405].start |
11412.173 |
transcript.whisperx[405].end |
11426.779 |
transcript.whisperx[405].text |
可是藥局面臨大很大的這個困難我們也是要想到比如說分配不均有藥的先分配大院他們就一定沒有嘛那再來他們都是跟盤商要的可是盤商因為這個很多種種因素他不供藥了或是最小出貨量你在藥廠裡面某些藥物是1000粒為一瓶的基本包裝他就沒用得多你怎麼所以這個都是可解決的啊 |
transcript.whisperx[406].start |
11438.604 |
transcript.whisperx[406].end |
11438.884 |
transcript.whisperx[406].text |
保定對不對 |
transcript.whisperx[407].start |
11457.02 |
transcript.whisperx[407].end |
11471.836 |
transcript.whisperx[407].text |
我們剛剛有提到的幾個我們都非常的贊同,比方說山桐這一個學名要需要去做promote,讓民眾比較能夠接花很多錢在宣導,但這種東西都沒看到你們的宣導 |
transcript.whisperx[408].start |
11473.853 |
transcript.whisperx[408].end |
11499.034 |
transcript.whisperx[408].text |
這我們會持續而且會加強去做因為這個會關係到國內的一些命脈那第二個部分的話那剛剛委員有提到那這個藥物調度的問題比如說社區藥局他要調度跟盤商那這個部分的話因為新的制度我們剛剛才建立起來對盤商的一個監測那幸好這個國內的大的盤商他們都願意來做配合 |
transcript.whisperx[409].start |
11499.694 |
transcript.whisperx[409].end |
11521.689 |
transcript.whisperx[409].text |
所以這個部分的話我們就可以來監測在社區藥局這邊如果是缺貨的時候我們到底是不是可以來請盤商來做調度那如果說中盤商沒有辦法調度的話那我們就找藥商中盤商不能調度的理由和原因很多啦所以你們也是要去了解合不合理嘛因為這個部分的話其實是他們最常講的一個理由是說現在進貨的藥價到未來賣的時候都賠本 |
transcript.whisperx[410].start |
11525.231 |
transcript.whisperx[410].end |
11542.024 |
transcript.whisperx[410].text |
我的意思是說這是其中一個理由我知道但是那個是在這種藥價調漲的這個時間當然中環社會的大理由就是因為我們的PIX GMP裡面還包含這個冷鏈的系統所以他們冷鏈不合格是不是也應該繼續輔導趕快輔導好這部分我會理解 |
transcript.whisperx[411].start |
11546.087 |
transcript.whisperx[411].end |
11559.181 |
transcript.whisperx[411].text |
那我還是要談蘇丹紅事件蘇丹紅事件很嚴重是因為你說你不能保證在架上的都是安全的沒有漏網之魚我現在看一下第8章這個產品而且這個海順公司的產品 |
transcript.whisperx[412].start |
11566.26 |
transcript.whisperx[412].end |
11594.108 |
transcript.whisperx[412].text |
然後你看他的下一頁香麻辣粉現在大家上Google到MOMO網站現在還在架上3月7號現在還在架上初一十五海順而你們知道嗎衛生局也知道海順署長他為什麼還在架上你們的所謂的檢出辣椒粉含蘇丹紅的專區裡面也沒有這種產品 |
transcript.whisperx[413].start |
11596.173 |
transcript.whisperx[413].end |
11619.621 |
transcript.whisperx[413].text |
這個部分我們會查它的批次到底現在的狀況是什麼海順公司是一個算是進口不要講批次的問題這個部長我就回到我們的第二頁第三頁的故事說給你聽一下批次我們什麼時候100%逐批查驗應該是去年的12月12月之後還有沒有人繼續進含有蘇丹紅產品的 |
transcript.whisperx[414].start |
11624.022 |
transcript.whisperx[414].end |
11634.611 |
transcript.whisperx[414].text |
這個辣椒粉,馬上給你看,這個馬上給你看,部長,這是你們自己說的,我這一份拿錯了,你看它,編進受理時間1月6號,今年的,我們本來是 |
transcript.whisperx[415].start |
11645.742 |
transcript.whisperx[415].end |
11650.144 |
transcript.whisperx[415].text |
我再問你,去年12月11號已經百分之100的在查驗了為什麼這些廠商仍然有恃無恐繼續進口大量含蘇丹紅的辣椒粉?我不在講查到被退,他當然沒有成...我上禮拜就跟你講啊查到沒關係,沒死也沒了結你就叫他退官,退回去中共而已沒有啦,那退就已經是了結了 |
transcript.whisperx[416].start |
11674.694 |
transcript.whisperx[416].end |
11676.738 |
transcript.whisperx[416].text |
後來我還沒再跟你說為什麼這間家館都所有這幾天都跟這個公司他百分之一百逐批查驗了他在1月6號 |
transcript.whisperx[417].start |
11690.27 |
transcript.whisperx[417].end |
11698.419 |
transcript.whisperx[417].text |
仍然在繼續進口,而且進口量有多高呢?據我所知,好像是1月6號的是13696公斤。好,來第二張。但不是1月6號,它被退了!如你們所說,被退了! |
transcript.whisperx[418].start |
11711.943 |
transcript.whisperx[418].end |
11729.609 |
transcript.whisperx[418].text |
1月30查出不額個備退要求他退他1月30之後仍然還繼續進1月28OK沒關係他在你們百分之一百去年12月11就發布百分之一百逐批查驗的時候他仍然進我都中三張了 |
transcript.whisperx[419].start |
11731.469 |
transcript.whisperx[419].end |
11736.953 |
transcript.whisperx[419].text |
因為他的出口商不是Kevin Shipping,是這間啦你們沒有在調查,我都幫你們查好了,其實你們都知道 |
transcript.whisperx[420].start |
11760.871 |
transcript.whisperx[420].end |
11771.814 |
transcript.whisperx[420].text |
她的出口商從中國出來荷蘭的,是龍海銅製你別以為這是中國廠商,這是他們自己因為台灣李彥廷也有登記一家龍海銅製他們自己,剛才那些是中國人,你看中國登記的他1997年就成立了 |
transcript.whisperx[421].start |
11783.848 |
transcript.whisperx[421].end |
11808.84 |
transcript.whisperx[421].text |
他1997年就食品原料、食品加工然後為什麼他在溯源追蹤系統他會登記的是什麼Kevin Shipping因為他的裡面的真正的出口商是龍海同志你退關退回去也是他們自己的公司啦退回去他們中國也是他們自己的公司啦 |
transcript.whisperx[422].start |
11810.734 |
transcript.whisperx[422].end |
11820.142 |
transcript.whisperx[422].text |
所以你看這個葉澤,我們看他有幾家公司啊?沒錯,我剛才說的那個初一十五是哪一家公司?是海順我拜他就說他有四間啊,現在再多一個海順 |
transcript.whisperx[423].start |
11828.126 |
transcript.whisperx[423].end |
11845.936 |
transcript.whisperx[423].text |
事實上他不是啦 你看他多少金湛、釜山、廣源、龍海、節展、加廣、初一、十五、食品有限公司、素食業、淪陷、頂紀、海順、國際我剛才講了這個龍海同紀他台灣也有登記第一次看起來 整間 九間 |
transcript.whisperx[424].start |
11855.831 |
transcript.whisperx[424].end |
11871.242 |
transcript.whisperx[424].text |
已經出包了,你9家有沒有全部都查?食藥署署長,你有沒有全部都查?我想這部分的話,對於個別的這些廠商如果是有輸入到違規的,我們就進行進口沒有啦,保證我不是在說如果的問題啦 |
transcript.whisperx[425].start |
11874.423 |
transcript.whisperx[425].end |
11893.262 |
transcript.whisperx[425].text |
至少經戰加廣都已經爆發食安事件了至少我禮拜一都已經跟你們說過他們的人頭公司很多這個經營者他們至少有很多家的經營者有很多家的公司的時候 |
transcript.whisperx[426].start |
11894.48 |
transcript.whisperx[426].end |
11897.483 |
transcript.whisperx[426].text |
因為它是個別登記的公司所以我們還是必須要掌握那為什麼立委Google就有了 |
transcript.whisperx[427].start |
11914.318 |
transcript.whisperx[427].end |
11931.712 |
transcript.whisperx[427].text |
你整個食藥署專業的人力咧一千多人欸那你只是負責你政策責付出去地方政府也有人力欸那今天在這裡我覺得行政部門有道德風險啊你們食藥署的人有一種道德風險是什麼你知道嗎你們有辦法查好查滿嗎你查好查滿會不會像滾雪球一樣越滾越大 |
transcript.whisperx[428].start |
11942.063 |
transcript.whisperx[428].end |
11957.242 |
transcript.whisperx[428].text |
當你們為了避免越滾越大的時候是不是就不能太認真所以不做不做多做多錯我現在看到的就是這樣子啊我Google就可以知道他有9家公司你知道他還有1家 |
transcript.whisperx[429].start |
11961.061 |
transcript.whisperx[429].end |
11972.711 |
transcript.whisperx[429].text |
那個工廠登記嗎?來看一個工廠登記我...我...這個來鐵皮屋工廠來我會講公司登記喔工廠登記你們有去查過廠嗎?這個地方有去查過廠嗎? |
transcript.whisperx[430].start |
11975.543 |
transcript.whisperx[430].end |
11994.432 |
transcript.whisperx[430].text |
因為所有要餐蘇丹紅都是辣椒要磨成粉以外是要加工餐入的加工過程才餐入的他現在有一種是邊境就餐入那還有加工廠這個我跟他簡單問你這間工廠登記證他名字他是哪一家工廠工廠登記證嗎名字叫什麼FDA知道嗎你不知道他有高經公司你也不知道 |
transcript.whisperx[431].start |
12005.876 |
transcript.whisperx[431].end |
12023.545 |
transcript.whisperx[431].text |
從委員的資料裡面看的話,一看就是用那個地址去查的吧,就同指的...沒有啊,我們的公司登記毛那個吳克民三年也可以的啊我沒有辦法用這樣去查啦你為...我不用去查耶,我只是Google就有了耶 |
transcript.whisperx[432].start |
12025.182 |
transcript.whisperx[432].end |
12043.508 |
transcript.whisperx[432].text |
Google台灣公司網就有阿你Google一個加廣金站Google一個加廣他就告訴你加廣還有其他的這個分公司有沒有你Google這個加廣兩個字就全部找到連他的工廠登記都有我這就是工廠登記來的 |
transcript.whisperx[433].start |
12045.068 |
transcript.whisperx[433].end |
12053.496 |
transcript.whisperx[433].text |
不過因為行政機關在做事情的時候,它還是一個一個的公式要去做處理我現在說行政機關入圍谷歌就有了,你們沒辦法做,那就是你們的道德風險嘛你如果怕差太多,滾雪球啦 |
transcript.whisperx[434].start |
12060.463 |
transcript.whisperx[434].end |
12076.82 |
transcript.whisperx[434].text |
這個會報的一定會報啦尤其是這種那我現在再告訴你不是會報的就會報都沒有報啊林淑芬今天沒有講這9家公司你會去查9家嗎沒有我今天講初一15素食食品公司3月7號現在MOMO網站上還有 |
transcript.whisperx[435].start |
12077.921 |
transcript.whisperx[435].end |
12095.846 |
transcript.whisperx[435].text |
現在大家Google進去都還有3月他還有特價3月1號到3月7號想最低價格八三折好我現在要再講喔我我覺得你們這個東西很離譜以外我們整個事件喔我覺得查到最後非常可惡的是因為 |
transcript.whisperx[436].start |
12097.026 |
transcript.whisperx[436].end |
12116.689 |
transcript.whisperx[436].text |
如果我們整個食品安全的管理是仰賴業者自律,然後當初我們建置一個食品溯源系統,追蹤追溯系統,我們都這麼講,我們政府不斷跟大家講,你要來登錄,然後你要自律,如果你被我查到了,我要重罰。 |
transcript.whisperx[437].start |
12118.53 |
transcript.whisperx[437].end |
12139.306 |
transcript.whisperx[437].text |
今天查到了你也說重罰但是我現在問你業者查到要重罰但是如果政府被人民查到政府被立委查到你們就沒有在管要不要重罰因為現在上游的廠商登錄的是虛偽下游的廠商把青菜蝦蝦蝦沒多轉 |
transcript.whisperx[438].start |
12141.485 |
transcript.whisperx[438].end |
12164.095 |
transcript.whisperx[438].text |
你這樣,你根本就都沒在查,所以讓那個溯源追蹤追溯制度,淪於假的形式,讓我們食安五環破功,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講,不能這樣講 |
transcript.whisperx[439].start |
12174.239 |
transcript.whisperx[439].end |
12196.825 |
transcript.whisperx[439].text |
他在測試你政府的底線啊他在測試你政府可以容許會不會查嘛然後你的下游高雄市政府說他提供不出完整的下游名單他也沒有嘛我現在再問你在幾天拜議的時候食藥署署長說他們都有登錄他們是登錄第23類 |
transcript.whisperx[440].start |
12198.525 |
transcript.whisperx[440].end |
12212.654 |
transcript.whisperx[440].text |
署長我現在跟問你啦我們是7萬家的公司需要強制登錄的只有一萬家這一萬家裡面是在25個品項裡面他到底是基於哪一個品項所以必須要強登 |
transcript.whisperx[441].start |
12215.932 |
transcript.whisperx[441].end |
12228.379 |
transcript.whisperx[441].text |
因為25項大多數都是鎖定在3000萬以上的食品公司、食品工廠才必須啊我現在這樣問你,他是多一項,你告訴我他必須強登的規定是第幾個品項23萬 |
transcript.whisperx[442].start |
12232.284 |
transcript.whisperx[442].end |
12237.987 |
transcript.whisperx[442].text |
我現在要說的是你們的科長告訴我們登載不實他要登錄一個登了原因是他是第24類不是23類 |
transcript.whisperx[443].start |
12260.979 |
transcript.whisperx[443].end |
12279.235 |
transcript.whisperx[443].text |
到底23還是24 您課長說的跟您書長說的不一樣再來 再來說以這種業者自律嚴重的被查到我要重罰那政府現在發現政府就不在管啊這樣人民發現你嚴重的疏失不在管要不要重罰事務官、公務員要懲處啊 |
transcript.whisperx[444].start |
12284.093 |
transcript.whisperx[444].end |
12284.854 |
transcript.whisperx[444].text |
所以由此可知啊,瀆職的很嚴重 |
transcript.whisperx[445].start |
12309.999 |
transcript.whisperx[445].end |
12320.03 |
transcript.whisperx[445].text |
這個指控的話需要有一些證據的沒有證據嗎?他登錄了凱文需品作為上游公司這不是證據嗎?我現在在說的是你們沒有在查 |
transcript.whisperx[446].start |
12324.935 |
transcript.whisperx[446].end |
12330.279 |
transcript.whisperx[446].text |
你們有沒有一個定期檢視?112年逐批拖延到100%了,你可以不用查嗎?如果他過去的紀錄在邊境都查到,還有蘇丹紅而且屢次的被發現,你不用去食品雲查嗎? |
transcript.whisperx[447].start |
12350.069 |
transcript.whisperx[447].end |
12366.46 |
transcript.whisperx[447].text |
你不用去食品雲茶嗎?如果他是累犯,如果是鋁鋁,如果他是這樣子,我現在講說這一群人喔這一群人是不是故意的、組織性的在做啊?你看,他根本就是...我只要跟你講,他在台灣也有工廠登記也有公司高競,然後在中國也有,你如果他輸出 |
transcript.whisperx[448].start |
12377.667 |
transcript.whisperx[448].end |
12404.028 |
transcript.whisperx[448].text |
中國輸出廠商寫龍海同濟,他如果去抓到禁止輸入,這樣他這間就破錢了,就沒好啊,但是他都把你用Kevin Shipping所以你還敢說我禁止了21家中國廠商,你禁止的是Kevin Shipping你禁止的不是吳彥廷、吳克敏他們的龍海同濟,叫Eastrong |
transcript.whisperx[449].start |
12406.704 |
transcript.whisperx[449].end |
12431.677 |
transcript.whisperx[449].text |
而且你們還有一個我搞不懂的你們的新聞稿專區裡面這21家被中國中國被禁的廠商名稱21家在你們的新聞稿裡面沒有放上來沒有放21家的名稱而是隱藏在一個大家都看不到的地方苦心的一直問的去查才查得到這21家所以我很懷疑的 |
transcript.whisperx[450].start |
12432.777 |
transcript.whisperx[450].end |
12455.3 |
transcript.whisperx[450].text |
您為什麼都不公布在您的新聞稿專區新聞稿專區沒有放上去過這是不是有貓膩我們就不得而知了好謝謝林委員的質詢那請這個衛福部要積極的去查緝剛剛委員提供這麼多的資料積極去查接下來我們就處理臨時提案那現在臨時提案總共有6案請一併宣讀 |
transcript.whisperx[451].start |
12456.859 |
transcript.whisperx[451].end |
12473.673 |
transcript.whisperx[451].text |
臨時提案第一案衛生福利部為因應日益嚴重之藥品短缺問題於112年成立跨部門藥品供應通報處理中心為目前作法人偏向個案危機處理模式使藥署對於嚴重缺藥時的藥品分配或調度機制為制度化 |
transcript.whisperx[452].start |
12474.573 |
transcript.whisperx[452].end |
12500.591 |
transcript.whisperx[452].text |
針對健保藥價調整等重大政策可能影響藥品供應狀況亦缺乏風險管理及資訊透明原要求衛福部食藥署應就各項藥品缺藥風險及對疾病治療影響程度建立完整缺藥預防和藥品調度機制並以數據化和透明化方式防止缺藥引發民眾恐慌提案人委員王育敏、陳金輝、蘇清泉 |
transcript.whisperx[453].start |
12504.974 |
transcript.whisperx[453].end |
12521.606 |
transcript.whisperx[453].text |
第二案經查社區藥局目前佔整體藥品市場比例約一成市佔率偏低導致藥品供應與社區藥局難以簽訂藥品穩定供應契約一旦發生缺藥狀況或是健保藥價調整時社區藥局藥品缺 |
transcript.whisperx[454].start |
12524.568 |
transcript.whisperx[454].end |
12525.209 |
transcript.whisperx[454].text |
第三案有鑑於臺灣當前的 |
transcript.whisperx[455].start |
12554.752 |
transcript.whisperx[455].end |
12582.064 |
transcript.whisperx[455].text |
藥品費用分配比率目標制第一梯實施過程中第一大類藥品新藥專利期內藥品費用成長幅度較高但藥價削減的重點卻落在第三大類藥品上這種不平衡的做法不僅對學民藥市場造成不利影響也可能阻礙整體藥品市場的健康發展藥品第一梯辦法已經實施10年這個制度要重新檢討或者是廢止另提辦法 |
transcript.whisperx[456].start |
12582.904 |
transcript.whisperx[456].end |
12595.357 |
transcript.whisperx[456].text |
原要求衛福部於一個月內研擬改善方案.並向立法院社會福利及衛生環境委員會提出解決辦法提案人委員蘇清泉聯署人委員廖偉祥、王育敏第4案 |
transcript.whisperx[457].start |
12596.516 |
transcript.whisperx[457].end |
12615.688 |
transcript.whisperx[457].text |
要徹底解決缺藥困境需同時以滿足醫師最佳處方選擇及照顧病患用藥權益的為基礎另外避免全球性藥品供應不穩定或兩岸關係影響導致救命藥品無法順利進口強化臨床需求必要性藥品在地生產能力 |
transcript.whisperx[458].start |
12616.228 |
transcript.whisperx[458].end |
12633.341 |
transcript.whisperx[458].text |
確保所有疾病患者有藥可用.以維護民眾生命權.原要求衛福部在同時符合以下三項要件.各該品項之藥價不受藥價調整影響.或排除在每年藥價調整之外.一、臨床上有需求醫學會認證.二、鼓勵在地製造 |
transcript.whisperx[459].start |
12636.483 |
transcript.whisperx[459].end |
12655.089 |
transcript.whisperx[459].text |
領有食藥署合發臺灣製造藥品許可證、三、三章以下的稀缺藥證提案人委員廖偉祥、聯署人委員陳金輝、王育敏、邱振軍、蘇清泉、盧憲一。第五案長期以來健保費率調漲相當困難在先節流後開源的要求下 |
transcript.whisperx[460].start |
12656.977 |
transcript.whisperx[460].end |
12681.878 |
transcript.whisperx[460].text |
忽視醫療人員的服務價值另外在總額制度控管之下醫治機構應得的給付長期被打9折甚至8折長期管控與節流也讓醫療能力與資源只能勉強維持堪用的狀態建請政府撥補裁員以合理之意補充我國醫療品質一、西醫、牙醫及中醫基層浮動點值保障一點0.95元 |
transcript.whisperx[461].start |
12684.601 |
transcript.whisperx[461].end |
12700.934 |
transcript.whisperx[461].text |
2.醫院浮動點值保障1.0.9元提案人委員黃秀芳、林俊憲連署人委員林月琴、王振旭第6案113年食品藥物管理署查獲大量進口中國製辣椒粉含致癌物蘇丹色素3號 |
transcript.whisperx[462].start |
12701.795 |
transcript.whisperx[462].end |
12729.022 |
transcript.whisperx[462].text |
目前中國製辣椒粉已進入市場並大規模利用於加工食品危害國人食安甚具食藥署也無法保證市場完全沒有問題經查我國國中小學約165萬名學生食用營養午餐若含蘇丹紅辣椒粉用於營養午餐恐危害多數孩童健康原要求衛福部於市場內蘇丹紅辣椒粉清查完畢前應限制全國學校營養午餐食材添加辣椒粉 |
transcript.whisperx[463].start |
12730.114 |
transcript.whisperx[463].end |
12737.199 |
transcript.whisperx[463].text |
提案人委員王育敏、蘇清泉、屠權吉宣讀完畢好 謝謝來請問第一案行政單位有沒有意見主席有關第一案的部分有文字的修正那修正的是在第二行還有第三行有這個部分我們是建議要刪掉然後更換文字由中盤藥商這裡到第三行的 |
transcript.whisperx[464].start |
12758.769 |
transcript.whisperx[464].end |
12760.57 |
transcript.whisperx[464].text |
並以建立藥品短缺通報及評估處理程序 |
transcript.whisperx[465].start |
12770.97 |
transcript.whisperx[465].end |
12800.559 |
transcript.whisperx[465].text |
那到第二段的部分有幾個很簡單的一些字要希望可以劃掉的就是在我們第一句話之後竇點那裡可以劃掉對疾病治療影響程度這句話希望可以劃掉然後在後面的部分並以數據化的這個這個我們要劃掉是並以透明化方式防止缺藥引發民眾恐慌 |
transcript.whisperx[466].start |
12801.823 |
transcript.whisperx[466].end |
12824.46 |
transcript.whisperx[466].text |
好 那就按照修正後通過來 謝謝好 那第二案也是有文字的修正那在第二段第二段這裡第二段倒數第二行就是我們是倒數第三行那裡寫研擬社區藥局然後開始是與物流業合作方式這裡我們劃掉還有下一句話 |
transcript.whisperx[467].start |
12824.94 |
transcript.whisperx[467].end |
12825.22 |
transcript.whisperx[467].text |
好,好,謝謝 |
transcript.whisperx[468].start |
12844.54 |
transcript.whisperx[468].end |
12861.888 |
transcript.whisperx[468].text |
主席跟各位報告有關第三案檢討第一梯的提案我們會積極來進行不過因為還需要有一些法規預告等等是不是可以從一個月延長成三個月內研擬改善的方案提出解決辦法 |
transcript.whisperx[469].start |
12864.4 |
transcript.whisperx[469].end |
12884.231 |
transcript.whisperx[469].text |
那另外那個剛剛有委員提到說你們開相關會議的時候希望委員可以參與這個部分可以嗎?可以可以沒問題那就拜託你們開相關檢討會議的時候同時通知立法院關心的委員通知委員辦公室關心的委員他就可以去列席好謝謝好來第四案 |
transcript.whisperx[470].start |
12893.074 |
transcript.whisperx[470].end |
12908.249 |
transcript.whisperx[470].text |
有關第4案提到對於一些稀缺藥證的藥品在調藥價的時候能夠予以排除這個精神上我們都支持不過就是說我們略做一些文字的調整 |
transcript.whisperx[471].start |
12910.813 |
transcript.whisperx[471].end |
12934.504 |
transcript.whisperx[471].text |
這個原要求衛福部於本次修法時必須參裁同時符合以下三項要件各該品項之藥價不受藥價調整影響或排除在每年藥價調整之外一、臨床上有需求醫醫學會認證或我們後面加一個另外一個同時可以考量的 |
transcript.whisperx[472].start |
12934.744 |
transcript.whisperx[472].end |
12947.575 |
transcript.whisperx[472].text |
或依要釋法第27之2條必要藥品清單那以下都是照列好請問廖委員可以嗎好來那就按修正通過來第五案 |
transcript.whisperx[473].start |
12951.02 |
transcript.whisperx[473].end |
12974.777 |
transcript.whisperx[473].text |
第5案是林俊憲黃秀芳委員提案有關於要政府撥補裁員那因為這個還有很多的層級要討論所以建議加兩個字就建請政府研議撥補裁員黃秀芳委員可以嗎?可以齁,好來修正通過第6案 |
transcript.whisperx[474].start |
12977.257 |
transcript.whisperx[474].end |
12990.037 |
transcript.whisperx[474].text |
報告委員第6案有修正文字那在第一行的部分最後那邊寫含致癌物這裡我們建請可以修改為含具有潛在致癌性 |
transcript.whisperx[475].start |
12992.854 |
transcript.whisperx[475].end |
13013.331 |
transcript.whisperx[475].text |
第二段的第二行是原要求衛福部我們希望可以增加原要求衛福部協調教育部於市場內蘇丹紅辣椒粉為這個地方改成為為清茶上位那個為為清茶完畢前 |
transcript.whisperx[476].start |
13015.008 |
transcript.whisperx[476].end |
13022.711 |
transcript.whisperx[476].text |
應通知團散業者暫停使用加辣椒粉應通知營養午餐業者暫停使用加辣椒粉 |
transcript.whisperx[477].start |
13045.154 |
transcript.whisperx[477].end |
13048.376 |
transcript.whisperx[477].text |
因通知全國營養午餐業者。 |
transcript.whisperx[478].start |
13069.258 |
transcript.whisperx[478].end |
13070.599 |
transcript.whisperx[478].text |
黃健豪委員 |
transcript.whisperx[479].start |
13104.229 |
transcript.whisperx[479].end |
13107.945 |
transcript.whisperx[479].text |
好,謝謝主席,那我們是請薛部長好,有請部長 |
transcript.whisperx[480].start |
13114.81 |
transcript.whisperx[480].end |
13140.949 |
transcript.whisperx[480].text |
委員好部長好部長今天我想當然大家主要討論到這個健保藥價的部分那其實我想這個健保涉及到我們這個醫療機構相關這個營收一般來講就所知一般的醫療機構不管大的小的它的這個收入來源一方面是這個健保的這個給付另外一個很重要當然就是所謂的門診的這個掛號費的收入所以說其實我剛剛看到這個報告的第一頁就提到說 |
transcript.whisperx[481].start |
13142.25 |
transcript.whisperx[481].end |
13168.461 |
transcript.whisperx[481].text |
主要是希望說能夠來這個反映藥品支付的價格調降來控制藥費在合理範圍裡面來尊潔健保的支出那包含剛剛的委員的臨時提案裡面也提到這個健保的支出當然健保可能現在入不敷出所以是不是有可能考慮用這個公務預算來撥補因為像其他的這個其他像比如說勞保或其他的這些保險的這個公務的保險如果他在保險的經費不夠的時候都會使用這個公務預算來撥補來擬貧這個可能虧損的部分 |
transcript.whisperx[482].start |
13171.143 |
transcript.whisperx[482].end |
13172.046 |
transcript.whisperx[482].text |
那在健保這部分 |
transcript.whisperx[483].start |
13173.442 |
transcript.whisperx[483].end |
13199.799 |
transcript.whisperx[483].text |
當然健保要不要勃勃這部分我們未來再討論那我今天想要講的是這個提到這個那個什麼掛號費提升的問題解開解封的問題其實我想跟這個部長來討論就是說部長說這個是市場機制但是我想這個醫療行為很難用這個市場機制來認定如果今天醫療行為要用市場機制來認定的話那我想醫院他的管理單位就不是衛福部可以把它移去經濟部了所以我想這個部長 |
transcript.whisperx[484].start |
13201.44 |
transcript.whisperx[484].end |
13226.89 |
transcript.whisperx[484].text |
我還是希望說這個在調整因為你今天受訪的時候也是很肯定的說這件事情一定會執行但在執行之前我想問部長有沒有可能至少你要召開一個公聽會來瞭解除了醫界的意見之外我想使用者、各民間團體、民眾的意見也很重要就是我願意能夠花多少錢來看一般的診所那願意花多少錢去掛特別的門診的這個健保這個購入費我想這是不一樣的這個結構 |
transcript.whisperx[485].start |
13228.93 |
transcript.whisperx[485].end |
13247.237 |
transcript.whisperx[485].text |
一刀切的說啊,全面性的都可以去調整,都可以去調漲,我想對這個名稱衝擊會非常大,尤其現在這幾年啊,這幾個月來我想很多的這個費用都在調漲,不管是物價也好,電費也好,如果連現在這個掛號費也要調漲的話,我想對一般的民眾的衝擊會非常大。部長對這件事有什麼看法?有沒有 |
transcript.whisperx[486].start |
13248.237 |
transcript.whisperx[486].end |
13270.212 |
transcript.whisperx[486].text |
延後實施的可能性有沒有可能再徵詢更多的意見再去執行這件事情首先跟我們報告其實對於掛號費這種行政費用的管制法律上是沒有根據的我知道那所以這一個解既然說醫界有這樣子的提出來這樣的質疑的時候我們就必須要去做處理 |
transcript.whisperx[487].start |
13270.712 |
transcript.whisperx[487].end |
13296.826 |
transcript.whisperx[487].text |
我想醫界在質疑當然主要還是因為說這個收入的問題啦所以要提到說這健保的幾負點是不是也是很重要的一個環節那健保的部分是另外一件事情那健保事實上對於所謂的這一些營運成本包括說租金、水電等等這些還有人員薪資的上漲的壓力的話健保沒有辦法完全去cover但是那個是行政成本 |
transcript.whisperx[488].start |
13297.746 |
transcript.whisperx[488].end |
13312.18 |
transcript.whisperx[488].text |
所以我們其實是解開那個管制並不是說他一定就會調整比如說我們現在對於我們可以掌握的公立醫院的話我們可能就是讓他先不掌公立醫院先不掌對 |
transcript.whisperx[489].start |
13312.901 |
transcript.whisperx[489].end |
13338.004 |
transcript.whisperx[489].text |
好部長謝謝喔晚上就是說其實這東西的確就是說這個是民眾多數民眾一看到說這個過號費可能會調會調漲的時候其實大家這個心理壓力其實也蠻大的那當然整個醫療收入的支出醫療收入的部分到底是這個這個過號費比較重要還是這個健保的費用比較重要因為今天時間不太夠所以我有有有機會再跟部長討論那最後一點喔另外一個話題就是這個大家很在注重這個蘇丹紅的議題 |
transcript.whisperx[490].start |
13339.585 |
transcript.whisperx[490].end |
13342.167 |
transcript.whisperx[490].text |
蘇丹紅的原料他好像是工業產品所以這是不是不在目前的食安五環的管制範圍裡面應該說他作為食品添加物是一個不合法的這樣我們還是要管 |
transcript.whisperx[491].start |
13364.301 |
transcript.whisperx[491].end |
13386.587 |
transcript.whisperx[491].text |
因為他理論上進來他申報不會說我要加到食品裡面去嘛他進來申報的時候他一定是用什麼其他的名義可能工業製品所以他申報要進入台灣然後在台灣來加工目前的狀況不是這樣目前的狀況是他在國外的話就是已經已經是加到這個辣椒粉裡面所以我們看到的是辣椒粉我們做出來看到成品就對了蘇丹侯 |
transcript.whisperx[492].start |
13388.027 |
transcript.whisperx[492].end |
13415.356 |
transcript.whisperx[492].text |
那並不是說蘇丹紅另外進來然後在國內去攬那並不是這個樣子那如果是成品進來的話理論上應該在這個邊境管制的時候就應該查到才對所以我們現在會提升那個管制的一個措施也就是說像這一類的我們會跟那個環境部一起來討論由哪一些工業產品工業的使用的這些原料 |
transcript.whisperx[493].start |
13415.976 |
transcript.whisperx[493].end |
13439.955 |
transcript.whisperx[493].text |
它不可以加在食品裡面,我們會把它找出來一旦驗到的話,那就是100%去擋了部長還有這個食藥署,我想提供一個民間的建議因為我們家以前自己做食品業的很清楚其實這個食品哪些不肖業者會把不該加在食品裡面的東西放進食品的添加物裡面這些我想食藥署去業界了解一下就很清楚那我想這個部分 |
transcript.whisperx[494].start |
13440.896 |
transcript.whisperx[494].end |
13462.282 |
transcript.whisperx[494].text |
不能用善良民眾的心的想法去想這個事情要去從不肖廠商的想法節省成本的想法去想這個事情哪些工業製品會被添加到食物裡面包含在這個境外管制的包含在這個港口管制的時候就應該要去處理不是進來之後食安風暴才去查緝所以部分我是希望說部長跟我們署長 |
transcript.whisperx[495].start |
13462.802 |
transcript.whisperx[495].end |
13481.869 |
transcript.whisperx[495].text |
要辛苦一點去瞭解一下業界實際上面它會被拿來添加的工業物質有哪些那也把它列出清單這個可能不是你們衛福部第一線的管這不是你們直接的業務但是可能是經濟部或財政部的業務那這部分你們也要提供清單在進出口的時候就應該有一個有效的管制好 謝謝 |
transcript.whisperx[496].start |
13504.775 |
transcript.whisperx[496].end |
13508.317 |
transcript.whisperx[496].text |
接下來我們請謝一鳳委員進行質詢 |
transcript.whisperx[497].start |
13523.099 |
transcript.whisperx[497].end |
13541.648 |
transcript.whisperx[497].text |
謝謝主席。我想要請我們薛部長。好,來,有請薛部長。委員好。部長好。我想請問一下,去年我們補健保多少錢?去年中央政府預算補健保多少錢?去年的話是240億。是不是?240億。240億。今年是200億。 |
transcript.whisperx[498].start |
13548.011 |
transcript.whisperx[498].end |
13565.291 |
transcript.whisperx[498].text |
對阿,我們每年都在補健保的錢,然後你們又給人家調漲那個掛號,不是取消不是調漲,你們比較符合原意叫做取消掛號費的上限嘛那如果,好了醫療機構就是這樣子 |
transcript.whisperx[499].start |
13568.054 |
transcript.whisperx[499].end |
13568.974 |
transcript.whisperx[499].text |
對於整個健保的結構有沒有改善? |
transcript.whisperx[500].start |
13589.595 |
transcript.whisperx[500].end |
13612.686 |
transcript.whisperx[500].text |
當然有一些在行政成本提升的部分的話那醫療機構可能會有這種調漲花費來支應的這樣的情形但是健保是歸健保因為健保指的是醫療費用醫療費用的這一個部分的話那在總額預算制度之下仍然還是必須要另外去做處理 |
transcript.whisperx[501].start |
13614.086 |
transcript.whisperx[501].end |
13632.224 |
transcript.whisperx[501].text |
委員剛剛提到的這個公務預算補助的部分其實我們是用於在這個癌症新藥的這個部分還有就是護理人員他的待遇提升了這個部分那也是健保支出的是不是?你說去年的今年的200億跟去年的240億 |
transcript.whisperx[502].start |
13633.825 |
transcript.whisperx[502].end |
13652.752 |
transcript.whisperx[502].text |
去年的240億同時也去處理到所謂的補點子的問題因為這個COVID-19的停止之後的話那整個的整個的這一個三呼吸道感染的這種case大增那這部分的話讓這整個的點子是下降的所以去年的240億也同時在處理這個問題 |
transcript.whisperx[503].start |
13655.533 |
transcript.whisperx[503].end |
13679.026 |
transcript.whisperx[503].text |
因為我實在很納悶就是說當我們的中央政府總預算一直在就是說預注健保但是健保第一個醫院也沒拿到錢然後我們又要多花錢也沒有拿到足額的錢嘛我們又要多花錢然後這是三輸耶就是社會大眾也沒有覺得整體的 |
transcript.whisperx[504].start |
13680.487 |
transcript.whisperx[504].end |
13691.007 |
transcript.whisperx[504].text |
就是我們整體的醫療的那個就是改善了那是不是有點刪除啊?那已經有多年都不用再去調保費了這個是其實是這樣 |
transcript.whisperx[505].start |
13693.805 |
transcript.whisperx[505].end |
13716.837 |
transcript.whisperx[505].text |
我有點怕說你說你不要續任我現在質詢你了你講的也不代表未來的就是說未來的部長說不定你會不會騙我們你會不會騙我們你說你不續任最後部長還是你那個不是我決定的對啊所以你也沒有辦法說啊你現在你也沒有鎖匙嘛所以我的意思就是不用再質詢我 |
transcript.whisperx[506].start |
13718.024 |
transcript.whisperx[506].end |
13738.792 |
transcript.whisperx[506].text |
我怎麼...不是啦還是要討論出一個解決的方案啦因為我認為說第一個中央政府的總預算一直在挹注健保然後你們取消這個上限的問題讓民眾覺得說好即便是你們改善了就是醫療診所的行政費用但是沒有改善整個健保的結構嘛 |
transcript.whisperx[507].start |
13740.012 |
transcript.whisperx[507].end |
13755.242 |
transcript.whisperx[507].text |
但是對醫療院所來講,他可以改善他的醫療品質,包括說可以聘用更多的這些護理人員來處理病人,所以這個是非常馬上就要去面對的問題 |
transcript.whisperx[508].start |
13756.796 |
transcript.whisperx[508].end |
13770.383 |
transcript.whisperx[508].text |
對可是民眾就會覺得他們就醫的那個然後你們同樣的在其他的政策方面好我們說當然我們取消陸配那你們也知道說明明就是一年的上限就是60個還70 |
transcript.whisperx[509].start |
13772.544 |
transcript.whisperx[509].end |
13795.895 |
transcript.whisperx[509].text |
這個因為沒有寫到法律上面去啦所以以後會不會又要做調整這個我們實在是沒有辦法所以現在我們沒有辦法去講說這個陸配的這個年限是減短了之後的話依親的人是否會有影響陸配本身不會有影響但是他依親的這個部分是否有影響這個我們不知道 |
transcript.whisperx[510].start |
13801.579 |
transcript.whisperx[510].end |
13817.127 |
transcript.whisperx[510].text |
每年60個,這是寫在一個表上面,算是一個行政命令的一環而已你是擔心取消了,說有影響,是不是?你是擔心說上限取消了會影響?沒有的話,600個、6000個、6萬個,我們健保就受不了了 |
transcript.whisperx[511].start |
13824.6 |
transcript.whisperx[511].end |
13844.278 |
transcript.whisperx[511].text |
可是我是說其實我們健保的問題你也清楚啦還不是不用算到這一塊不用算到那一塊其實我們目前的結構性的問題就存在了啦然後我們一直挹注健保資源其實都沒有辦法改善整個健保的結構啦 |
transcript.whisperx[512].start |
13845.179 |
transcript.whisperx[512].end |
13845.419 |
transcript.whisperx[512].text |
我們還是會監測啦 |
transcript.whisperx[513].start |
13868.27 |
transcript.whisperx[513].end |
13895.036 |
transcript.whisperx[513].text |
你怎麼監測主席站起來了我只是覺得說好像還是沒有改善主要是說有一些地區的話他的資源是比較不足的這部分的話那個關會我們就要注意因為他已經事實上的一個獨佔或者是一個寡佔的情形這個就要特別要去注意了好謝謝好我們謝謝謝一鋒委員的質詢接下來我們請鍾嘉斌委員進行質詢 |
transcript.whisperx[514].start |
13906.189 |
transcript.whisperx[514].end |
13934.386 |
transcript.whisperx[514].text |
主席、在場委員、先進、列席的政府機關長、官員、會長、工作夥伴、媒體記者、女士先生有請薛部長跟吳署長好,請部長跟署長委員好部長好、署長好今天這個題目在這之前可能怕很多人都關心也問過了但是我還是要請教一下報載說年底恐怕會缺藥,六百萬人無藥可用那個標題包括說什麼年底會有缺藥潮啦六百萬人沒有藥啦,年底會缺藥嗎? |
transcript.whisperx[515].start |
13936.286 |
transcript.whisperx[515].end |
13955.57 |
transcript.whisperx[515].text |
這事實上是你怎麼定義缺藥的問題你聽聽部長的定義如果是缺藥講的是比較正確的一個定義的話是國內都沒有辦法提供而不是說某一家醫院診所或者是當然我們關心的是國內這個藥拿不到嘛那國內拿不到這個藥就嚴重囉是不是這樣 |
transcript.whisperx[516].start |
13960.831 |
transcript.whisperx[516].end |
13988.808 |
transcript.whisperx[516].text |
好 那我們來看一下這次因為都說缺藥的原因是因為我們把藥品的採購的調降幅度嘛比如說第一名的他從這個2500降到1600降幅35%第二名的乳癌從36降到26降了28%第三名是胃潰瘍從36降到26也是降了27%那好 那我們再往下看降幅最大的包括心血管、神經系統、抗感染的請問需要用到這些項目的病患他會不會受到影響呢 |
transcript.whisperx[517].start |
13990.461 |
transcript.whisperx[517].end |
14000.231 |
transcript.whisperx[517].text |
這基本上不會因為他都有都有這個替代的藥品替代藥品是的好但是有人提到說因為藥局怕被砍藥價就不禁藥 |
transcript.whisperx[518].start |
14001.226 |
transcript.whisperx[518].end |
14023.878 |
transcript.whisperx[518].text |
那就是包括藥局在備藥啊等醫生開處方啊那3月30日前備的藥好事業藥調降了那因為他怕被砍掉他就不再進了會不會有這樣的事情發生比如說空中拿不到藥他就不進了會不會有這樣的情況他是基本上利潤會稍微減少在這一段時間因為他原來進藥的時候的成本可能是比較高因為預期的藥價是比較高是的 |
transcript.whisperx[519].start |
14024.858 |
transcript.whisperx[519].end |
14049.364 |
transcript.whisperx[519].text |
現在藥價調降下來所以會壓縮到他的利潤空間但是只有在一段時間因為他就可以再跟那個藥廠再去就是說這是過渡時間啊就是未來他再進藥的成本也就也降低了賣的藥價也低了好那開始呢我們我想最近很多的相關醫事團體藥廠他們就在聚集在討論這個事情那有人提出說如果在台灣製造藥品並給國產的 |
transcript.whisperx[520].start |
14051.783 |
transcript.whisperx[520].end |
14052.843 |
transcript.whisperx[520].text |
我們希望說有一些專利過期的話那可以讓這個國產能夠來製造 |
transcript.whisperx[521].start |
14069.411 |
transcript.whisperx[521].end |
14094.662 |
transcript.whisperx[521].text |
如果是原料藥的這個部分的話使用的是國產的原料我們會再讓它核價更高一點所以你們已經往這個方向有在研議了好很好那另外呢比如說我們舉例啦齁所謂的這個軟便劑只剩下藥廠願意生產它是很簡單的一個氧化酶嘛一顆才兩塊錢人家說是糖果價、地板價再砍一次到醫院再砍一次廠商說現在一顆剩八毛那目前呢這個藥證有五張 |
transcript.whisperx[522].start |
14096.403 |
transcript.whisperx[522].end |
14097.944 |
transcript.whisperx[522].text |
所以本來他就按照規則的話就會一直砍一直砍下來 |
transcript.whisperx[523].start |
14125.297 |
transcript.whisperx[523].end |
14149.852 |
transcript.whisperx[523].text |
但是後來因為有這個缺藥而且這個藥的確還是好用所以我們現在已經調升它的價格而且給它保護了那所以這個就是說類似像剛剛說的藥證藥證如果有限這些藥廠願意生產的藥或有這個藥廠就要很小心的把它保住嘛很怕它一時打個噴嚏它就不生產了那病患就麻煩了你們有在注意啦 |
transcript.whisperx[524].start |
14150.592 |
transcript.whisperx[524].end |
14170.335 |
transcript.whisperx[524].text |
所以有人提出說稀缺藥證像剛剛那種只有5張或只有2張3張的供應有限而且臨場需求的藥物不列入每年調價範圍你說如果有人提出這個主張有沒有有助於避免斷藥應該是有有助於所以你們會評估對我們現在就往這一方面來做處理所以最後我就兩個訴求 |
transcript.whisperx[525].start |
14172.457 |
transcript.whisperx[525].end |
14194.733 |
transcript.whisperx[525].text |
針對剛剛那兩個訴求在臺製造藥品並使用國產原料藥品給予適當的價格保護請你們分析它對藥品供應的影響三個月內提出一個書面報告可以嗎?那同樣的對於稀缺的藥證或供應有限且有臨場需求的藥物不再列入每年調教的範圍請你們也分析一下這對藥品供應的影響好不好?一樣在三個月內提供給本席跟委員會好謝謝部長謝謝署長找錯了應該是找了 |
transcript.whisperx[526].start |
14199.847 |
transcript.whisperx[526].end |
14206.388 |
transcript.whisperx[526].text |
好,謝謝中嘉賓委員的質詢接下來我們請林益君委員進行質詢主席好,有請薛部長及石署長,謝謝好,請部長跟石署長 |
transcript.whisperx[527].start |
14230.765 |
transcript.whisperx[527].end |
14258.812 |
transcript.whisperx[527].text |
委員好有請薛部長你知道針對藥價的問題是本席長期關心的議題本席必須要用自己的專業向部長指出幾個問題的嚴重性因為藥價的調整不但涉及民眾的用藥權益甚至造成缺藥的情況會發生那更是危及國人的生命、身體及健康甚至可能會是國安的問題 |
transcript.whisperx[528].start |
14259.952 |
transcript.whisperx[528].end |
14278.285 |
transcript.whisperx[528].text |
而且藥局根本沒有囤藥的問題只有缺藥的問題最近有許多醫事人員反應不合理的狀況就是想請教部長一個問題如果有一個慢性患者他在3月1號就醫後拿到醫生開出的慢性處方簽三個月他原來已經領了一個月了 |
transcript.whisperx[529].start |
14280.547 |
transcript.whisperx[529].end |
14302.166 |
transcript.whisperx[529].text |
但是健保署卻公告說藥價準備在4月1號要將健保價調降所以請問當這個患者4月2號要第二次領藥的時候是不是應該要以就一期日計算呢還是請問健保署對於這個藥價的計算覺得要用哪一天來計算才合理呢 |
transcript.whisperx[530].start |
14304.573 |
transcript.whisperx[530].end |
14311.401 |
transcript.whisperx[530].text |
這基本上他已經有這一個處方了他就讓他處方去拿藥拿了藥之後再申報 |
transcript.whisperx[531].start |
14313.584 |
transcript.whisperx[531].end |
14327.774 |
transcript.whisperx[531].text |
是部長你知道嗎?如果依照4月1號計算藥價在目前這樣的制度執行對於給藥的醫療機構實在是非常的不公平因為這個基層醫療的機構紛紛在反映說並不是說政府已經有預告何時調整藥價醫療機構就馬上要隨時的配合多出的成本反映的 |
transcript.whisperx[532].start |
14338.041 |
transcript.whisperx[532].end |
14348.33 |
transcript.whisperx[532].text |
今天如果一個弱勢的醫療機構他平常在進藥品的時候他的藥通常都贏不了大型醫院所以北行是不是可以趁部長今天來備詢這個機會我們把基層醫療的問題來釐清 |
transcript.whisperx[533].start |
14353.334 |
transcript.whisperx[533].end |
14367.07 |
transcript.whisperx[533].text |
所以本席在此想針對藥價調整的問題為民眾及基於藥食法則那就是過去就有一個就有一些案例是已經確定的就是說有一個有關慢性病連續處方簽對於健保藥價調整金額後 |
transcript.whisperx[534].start |
14371.275 |
transcript.whisperx[534].end |
14394.745 |
transcript.whisperx[534].text |
而因為換藥情況導致缺藥的可能而先前就是因為健保代碼支付價格歸零或藥品取消健保給付的問題健保署就有實施以原處方就是就醫期日或者治療的結束日支付該藥品的健保費 |
transcript.whisperx[535].start |
14396.079 |
transcript.whisperx[535].end |
14412.481 |
transcript.whisperx[535].text |
這個大概不太可行不是這個是已經是確定執行的只是我想要把剛才這樣的例子看看有沒有辦法套用例子來講第一個就是藥已經開出去了就是那一個藥所以處方箱裡面就是那一個藥 |
transcript.whisperx[536].start |
14413.742 |
transcript.whisperx[536].end |
14431.627 |
transcript.whisperx[536].text |
這一個藥的話去做調劑不管是怎麼樣回原業運手去做調劑還是收到社區藥局去做調劑那調劑完之後跟健保申報費用的時候那本來就是按年薪的啊至少在年度例行這個問題就是出在於藥品支付價格之後民眾領導 |
transcript.whisperx[537].start |
14433.007 |
transcript.whisperx[537].end |
14449.595 |
transcript.whisperx[537].text |
會有接受到領藥的衝擊還有在幫助緩解基層診所和社區藥局備藥的壓力所以既然慢性處方簽是3月開出的新藥價生效日是不是就應該以醫生處方日認定呢這個的話我想說想健保署可以 |
transcript.whisperx[538].start |
14450.095 |
transcript.whisperx[538].end |
14453.44 |
transcript.whisperx[538].text |
演繹一下看看有沒有辦法因為在慢性處方針開立後藥價調整其實導致非常多的病人難以取得藥物這是因為行政程序所以卻導致了病人權益的完全受損 |
transcript.whisperx[539].start |
14465.758 |
transcript.whisperx[539].end |
14479.344 |
transcript.whisperx[539].text |
所以這個的話我想說沒關係可以請部長一個星期內給本席正面的滿意回覆可以嗎這個跟病的權益沒有影響這個是跟藥局跟健保署沒關係這個的話再書面報告一下 |
transcript.whisperx[540].start |
14484.726 |
transcript.whisperx[540].end |
14495.792 |
transcript.whisperx[540].text |
主席可以再一分鐘OK好部長你同意支持三同藥物嗎來協助國人度過這個缺藥的危機嗎這我們當然就是政策目標就這樣做 |
transcript.whisperx[541].start |
14496.331 |
transcript.whisperx[541].end |
14523.365 |
transcript.whisperx[541].text |
那你們過去一年來宣傳學名藥的預算還執行率有多少呢?這一個部分的話到我手上是沒有這個資料啦那預算的部分好 因為我有請我們的助理跟你們食藥署索取資料但是索取了兩次之後到現在依舊沒有回覆然後這是不是藐視國會議員啊?沒有 對不對衛福部針對是否有三通藥物做宣導是不是宣傳的力道太弱了呢?然後 |
transcript.whisperx[542].start |
14524.065 |
transcript.whisperx[542].end |
14538.661 |
transcript.whisperx[542].text |
以致缺藥大家又沒有辦法接受學民藥這樣的話我們是不是應該要來編列預算然後積極作為呢以免缺藥造成民眾之間的恐慌這是不是衛福部的責任呢 |
transcript.whisperx[543].start |
14539.762 |
transcript.whisperx[543].end |
14557.695 |
transcript.whisperx[543].text |
所以我們今年在這一個部分的宣導的費用我們會增加但是我們經常這個宣導費用到了那個立法院:好沒關係部長是否可以在此承諾重新檢討一個跨部會的我們學民藥的政策把它分成短中長的目標短程就是宣導中程就是穩定生產的供應長程就是扶植我國MIT的製造的指示藥學民藥產業那可以嗎 |
transcript.whisperx[544].start |
14567.142 |
transcript.whisperx[544].end |
14570.965 |
transcript.whisperx[544].text |
好,謝謝部長。好,我們謝謝林益君委員的質詢。接下來我們請劉建國委員進行質詢。好,謝謝周委。有請部長。好,有請薛部長。 |
transcript.whisperx[545].start |
14588.462 |
transcript.whisperx[545].end |
14602.913 |
transcript.whisperx[545].text |
市長也一起來,食藥署署長好來,食藥署署長部長好部長我剛剛看到王釗瑋最後一個提案,我本人也是競表同意但是從這個案我要去延伸很多問題 |
transcript.whisperx[546].start |
14604.178 |
transcript.whisperx[546].end |
14607.18 |
transcript.whisperx[546].text |
這個案過了,它會延伸什麼問題?你有思考過嗎? |
transcript.whisperx[547].start |
14634.287 |
transcript.whisperx[547].end |
14654.237 |
transcript.whisperx[547].text |
就像前幾天在講,那個所謂的零食嘛,然後火鍋店的壓血。現在這種天氣,台灣的餐飲業者火鍋店所佔的比例多高。那火鍋店的使用者,小朋友會不會去?也一定會去嘛。 |
transcript.whisperx[548].start |
14655.307 |
transcript.whisperx[548].end |
14675.252 |
transcript.whisperx[548].text |
要不要處理?小朋友的事情我們要特別重視但臺灣任何一個消費者的事情我們更加重視衛生部的官員我剛剛看到是吃了很大塊的雞排雞腿飯那雞腿有沒有外加辣椒粉?要不要進? |
transcript.whisperx[549].start |
14677.529 |
transcript.whisperx[549].end |
14705.161 |
transcript.whisperx[549].text |
所以跟我們報告這一個辣椒粉的問題之所以不好解決就原因就在這對所以第一天禮拜四我就特別講說其實食安風暴像這種添加物它不是單一的成品它不像以前的毒奶粉對不對它是一個添加物你們要非常慎重嚴謹的積極的甚至也就是說阻絕中國 |
transcript.whisperx[550].start |
14707.297 |
transcript.whisperx[550].end |
14716.664 |
transcript.whisperx[550].text |
進到臺灣的這些東西,就是要馬上當機立斷,不能有錢就不能再有錢委員,這個問題就是這樣,我們現在目前的辣椒粉,都是大部分的仰賴進口那中國大陸那邊有80%,佔80%阿現在這些違規的是50% |
transcript.whisperx[551].start |
14728.573 |
transcript.whisperx[551].end |
14737.116 |
transcript.whisperx[551].text |
所以你一下子通通禁的話我們會沒有辣的可以吃啦對國人的飲食習慣來講還是會有一個影響不是這樣啦部長80%是全部仰賴中國進口出的問題是50% |
transcript.whisperx[552].start |
14746.809 |
transcript.whisperx[552].end |
14766.866 |
transcript.whisperx[552].text |
這個在80%裡面的50%出的問題就已經佔了一半了嘛?對,但是出那個你也是要讓人家來啦,不可以看到中間就一直進入進口,這個就不太好的一個管制措施。所以你們要更加嚴謹的看怎麼去做相關的意義,什麼地方該進你就該進嘛對不對? |
transcript.whisperx[553].start |
14768.587 |
transcript.whisperx[553].end |
14793.338 |
transcript.whisperx[553].text |
包含因為前幾天有些縣市是針對營養午餐就已經禁了嘛那有些縣市是還沒有嘛那裡是禁表尊重嘛不對啊不對啊就不對嘛那今天王昭偉提出的這個案就是全國通用了嘛我要表達的就是說可能有些事情你要事先的就去展現該怎麼做就怎麼做了啦這個時間會很長嗎就看 |
transcript.whisperx[554].start |
14795.697 |
transcript.whisperx[554].end |
14815.437 |
transcript.whisperx[554].text |
可能食品主要辛苦一點,積極的看怎麼去做相關的查緝、比對、檢驗對一些可能會發生的還是比喻比較高的地方,可能你們依序的就必須直接的去對外做公告、對外做表示這可能比較危險、這比較高風險,我們先處理掉,先吃飯不可以 |
transcript.whisperx[555].start |
14819.94 |
transcript.whisperx[555].end |
14836.905 |
transcript.whisperx[555].text |
現在往下追查就是這個原則,委員說的如果他的下游廠商產品量是大的,那我們就要先處理部長跟署長都沒有經歷過過去的神風暴這不會是有這項東西發生,這嚴重,後來會再對一項來會再對一項來,一直來,會被刷到你不要把這個 |
transcript.whisperx[556].start |
14847.852 |
transcript.whisperx[556].end |
14853.735 |
transcript.whisperx[556].text |
我聽你們感到非常憂心甚至也很擔心真的啦因為我剛來的時候看到林委員在質詢其實他那些追查的方向 |
transcript.whisperx[557].start |
14871.227 |
transcript.whisperx[557].end |
14891.739 |
transcript.whisperx[557].text |
是沒有問題的喔?那一個部分的話其實是有一個困難點是說我們如果要個別的公司去做查、積查而且這個要把它是不是有相關的這些子公司或分公司要一起查出來我們就變成經濟部的商業司啊 |
transcript.whisperx[558].start |
14897.602 |
transcript.whisperx[558].end |
14909.128 |
transcript.whisperx[558].text |
但是遇到重大食安的事情基本上就是跨部會的一個合作嘛這基本上是這樣嘛因為我不希望它持續的流竄持續的被使用嘛 |
transcript.whisperx[559].start |
14909.448 |
transcript.whisperx[559].end |
14910.148 |
transcript.whisperx[559].text |
今天主題還是缺藥問題 |
transcript.whisperx[560].start |
14935.205 |
transcript.whisperx[560].end |
14962.326 |
transcript.whisperx[560].text |
那剛剛議員委員特別問部長嘛在議會的時候那部長有用這個說法嘛我是覺得部長在講一些話是蠻重點的蠻經典的啊這個會讓人家特別記憶清楚未嘗不是一件好事啦因為若堅持用原廠藥只能等死嘛就部長的講法嘛對不對但是但是他在前面如果再配一句話就會表達今天召委排的這個議題嘛 |
transcript.whisperx[561].start |
14963.632 |
transcript.whisperx[561].end |
14969.394 |
transcript.whisperx[561].text |
政府怎麼會讓人民搞到沒有這個藥可以來用,然後我們要去跟病患講說,你就要跟病患講,所以你只有丹氏。 |
transcript.whisperx[562].start |
14989.036 |
transcript.whisperx[562].end |
14996.725 |
transcript.whisperx[562].text |
這句話不是,但這句話要有底氣的,不是,對我知道啦,我現在齁,這句話你講到是一個重點嘛,也能讓人記得很清楚,就是部長你要討論很多問題嘛,有八款藥物可以用你不用,你要單這個藥物,當然你只有單四嘛,你藝術是要表達這樣嘛對不對,另外一個角度也是希望 |
transcript.whisperx[563].start |
15010.72 |
transcript.whisperx[563].end |
15038.635 |
transcript.whisperx[563].text |
國人可以對自己的國內的這些學民藥有一定程度的信心嘛對不對應該是這樣講嘛但是我看我讓部長看一個數據我說講這句話很重點大家記得起來但是這個講話也有底氣嘛2018台灣學民血壓藥被驗出致癌物300萬顆下架回收19就累積四起學民藥在安定性試驗後組成分不符標準而回收事件這個都不是在部長的論內啦但是在署長的論內喔 |
transcript.whisperx[564].start |
15041.464 |
transcript.whisperx[564].end |
15067.474 |
transcript.whisperx[564].text |
2023未達化學資料在三個月內出發三次八款藥回收同年發現台灣這個學名藥前列腺癌的這個膠囊已是組成混融解不全導致囊內的出現白色顆粒7月5號宣布回收這是在部長任內這是我簡單調出幾個啦這中間還有沒有書長應該比我更清楚嘛好 |
transcript.whisperx[565].start |
15068.544 |
transcript.whisperx[565].end |
15069.752 |
transcript.whisperx[565].text |
那你要怎麼建立國人對這個信心? |
transcript.whisperx[566].start |
15072.607 |
transcript.whisperx[566].end |
15099.925 |
transcript.whisperx[566].text |
這個部分有一些是廠商主動他自己的來通報然後這個下架的所以我們其實是當然如果要建立國產藥的信心的話那食藥署這邊還是必須要加強那對於後市場的一個稽查包括說那是不是都能夠這一些藥都一直符合能夠符合我們的安全標準跟它的這個劑量的一個標準這個我們 |
transcript.whisperx[567].start |
15101.926 |
transcript.whisperx[567].end |
15121.798 |
transcript.whisperx[567].text |
後市場一定要繼續來做追蹤但是其實以現在的機制來看的話那廠商他的主動性也是有的啦所以這可以建立信心嗎因為他只能夠上市的時候已經都符合PIX GMP的標準了 |
transcript.whisperx[568].start |
15122.378 |
transcript.whisperx[568].end |
15146.707 |
transcript.whisperx[568].text |
那就是後市場以後繼續再製造到底是不是仍然符合當初做這個查案登記的這個標準這個我們必須要去後市場我把這個過程這件事情提出來我並不是講說全部都是這個樣子但是也因為有這些事情當然有的是廠商主動提出來就像蘇丹農現在有廠商自己去檢驗發現有問題 |
transcript.whisperx[569].start |
15149.188 |
transcript.whisperx[569].end |
15149.208 |
transcript.whisperx[569].text |
致詢問題 |
transcript.whisperx[570].start |
15168.463 |
transcript.whisperx[570].end |
15188.763 |
transcript.whisperx[570].text |
這樣跟原廠藥都是一致的對好我們怎麼你們也有做宣導啊你們有很多的相關的預算都有在推廣嘛對不對對但顯然好像力道不是很足對所以我們今年呢在這方面的話必須要增加這個預算但是不是現在發生這個事情我們現在才在做嗎之前為什麼會做到這個效益這麼不好這個有需檢討吧 |
transcript.whisperx[571].start |
15192.066 |
transcript.whisperx[571].end |
15218.515 |
transcript.whisperx[571].text |
對啦,食藥署這邊在明年度的預算一定這部分會增加,但是我想委員也知道嘛我們的宣導費用經常在立法院的話就會被殺掉一部分啦所以在這部分還要請委員來協助,那能夠來支持我過去還在這邊的時候幾乎沒有去刪你們什麼宣導費用是哪一個你可以試一下跟我講省綠算的時候我們好好地跟他溝通一下 |
transcript.whisperx[572].start |
15220.508 |
transcript.whisperx[572].end |
15235.174 |
transcript.whisperx[572].text |
對不對?但是山可能也一次兩次也不會全部爬也全部拿掉嗎?每年都會通山一個爬樹啦還好吧你這麼講這個會期沒有在審預算你在審預算的時候你講這樣很危險 |
transcript.whisperx[573].start |
15240.777 |
transcript.whisperx[573].end |
15263.638 |
transcript.whisperx[573].text |
因為委員剛好在問,所以我講一下,就是希望說委員能夠支持我當然是支持,但是有時候也不是只有靠宣導就可以解決這個事情,對不對?國人對這個學品藥的信心,除了你怎麼鼓勵這些學品藥的廠家,然後制定更完整的配套還有相關的一些政策,我想不只是宣導,是講到這個地方,對不對? |
transcript.whisperx[574].start |
15265.585 |
transcript.whisperx[574].end |
15283.412 |
transcript.whisperx[574].text |
我時間到了啦,我最後還是要提供幾個訊息啦齁,因為當然過去來講是有,這也是從部長所講的嘛,航運受阻嘛,所謂的鴻海危機嘛齁,過去還有巴拉園運河的事件等等等,但是這個缺藥不單止這個原因啦, |
transcript.whisperx[575].start |
15285.701 |
transcript.whisperx[575].end |
15309.33 |
transcript.whisperx[575].text |
最近的情形是這個原因是主要的因素這不是只有臺灣那是國際性的這種特別的一個缺藥草社區藥局要所謂的這個成立藥品合作社還有與物流藥水合作這個有什麼問題嗎?為什麼要把它拿掉? |
transcript.whisperx[576].start |
15310.031 |
transcript.whisperx[576].end |
15315.035 |
transcript.whisperx[576].text |
不是這兩項完全你們都沒有辦法處理?不會這樣吧?你說物流業者還是可以溝通啊?還是可以 |
transcript.whisperx[577].start |
15338.485 |
transcript.whisperx[577].end |
15346.109 |
transcript.whisperx[577].text |
對啦,但是這個溝通的時候,我們就必須要找人來,因為我們不是主管機關,人家不一定會聽我們的啦。沒有啦,欠有聘是什麼問題?這絕對都是看不回可以處理的事情嗎? |
transcript.whisperx[578].start |
15357.155 |
transcript.whisperx[578].end |
15380.862 |
transcript.whisperx[578].text |
這應該不是,我感覺不對,你說的話我會,你給我的感覺就不是這樣做的人啦,你這樣說不出,我覺得這有問題餒。不是這樣啦。這要讓我們的,像食藥署這個單位的話,能夠讓他可以,因為這個決議的執行都是有時間性的嘛。因為你們對外講說只有酒,像這個藥品嘛對不對,其實不只嘛。 |
transcript.whisperx[579].start |
15386.083 |
transcript.whisperx[579].end |
15387.745 |
transcript.whisperx[579].text |
其實是不止嗎?你沒說9項嗎?社區藥局連這9項都沒有啊? |
transcript.whisperx[580].start |
15393.7 |
transcript.whisperx[580].end |
15420.475 |
transcript.whisperx[580].text |
市區藥局的缺藥不是真正的缺藥,它是剛好是沒藥啦一個是他可能他沒有採購,另外一個就是剛好是斷藥,這個個別的狀況他沒有採購,剛好是斷藥,他跟他的上個廠家跟這個藥廠都訂不到資訊貨的情況之下那市區藥局...所以他要通報嘛,我們可以幫他來做協調嘛,我們可以去調度嘛現在的問題就...市區藥局都沒有通報? |
transcript.whisperx[581].start |
15421.976 |
transcript.whisperx[581].end |
15442.626 |
transcript.whisperx[581].text |
很多都沒有通報阿 很多都沒有通報也代表是有通報嘛 很多都沒有通報畢竟還是有通報嘛 有通報我們都有處理了沒有通報的我們就無從知道阿 為什麼會有的藥都沒有通報 我不知道阿 他就通報媒體 沒啦 不然你不會知道 硬公不知道啦你可能不知道 署長應該會知道 我沒有要跟他阿 |
transcript.whisperx[582].start |
15445.627 |
transcript.whisperx[582].end |
15469.821 |
transcript.whisperx[582].text |
不是你把他騙,是怎麼有的會去跟你們通報,有的不會跟你們通報,是什麼問題?我們在管理這整個藥品的供應無虞情況之下。一點點說明,有一些他自己是可以處理的,碰到他自己在業界之間互相調貨,大部分都是這樣處理掉,少部分的話就是沒有,但是他就不通報,我真的也不知道為什麼。市長也不知道為什麼? |
transcript.whisperx[583].start |
15474.241 |
transcript.whisperx[583].end |
15474.361 |
transcript.whisperx[583].text |
目前為止 |
transcript.whisperx[584].start |
15496.131 |
transcript.whisperx[584].end |
15513.6 |
transcript.whisperx[584].text |
有些比較特殊的用藥還是說他這些藥源基本上是病患特別需要使用的然後我們也會因為像鴻海的這種事件嘛對不對還是一些一些緊急事件我們自己向農業去建立這種冷鏈的系統 |
transcript.whisperx[585].start |
15514.48 |
transcript.whisperx[585].end |
15541.386 |
transcript.whisperx[585].text |
然後把這些藥可以妥善的剛剛委員講的這一類的藥的話因為他會通報大部分都是因為藥廠來通報所以我們就會緊急來開始做專案的採購專案的輸入或專案的製造如果國內自己能夠製造所以這個部分的話都有處理的機制那現在是有一些是個別的像社區藥局這樣他自己沒有備這個藥 |
transcript.whisperx[586].start |
15543.434 |
transcript.whisperx[586].end |
15552.402 |
transcript.whisperx[586].text |
那這個部分結果人家拿處房間來了那他就要調劑嘛啊都沒有這個藥沒有這個藥的時候有幾種解決的方式第一個就是 |
transcript.whisperx[587].start |
15553.386 |
transcript.whisperx[587].end |
15573.637 |
transcript.whisperx[587].text |
業界之間互相去調要第二種情形的話就是請病人把這個處方錢拿回去原來的這個醫療院所看是要改處方還是說就在那個醫療院所去做調劑這個是這樣另外除此之外的case為什麼他就不通報我就不知道了 |
transcript.whisperx[588].start |
15576.033 |
transcript.whisperx[588].end |
15602.986 |
transcript.whisperx[588].text |
時間到了我這邊有一些具體的建議我先順便給部長跟署長做參考好不好但是我覺得部長剛剛這種說明還是有點不太能夠理解你現在講到第二點在社區疫情裡面有然後再回到原有的醫院那不是去到原有醫院又造成排擠的相關的一些情況又會發生所以我們不希望是這樣對嘛我們就在做這樣的一個分歧的怎麼還讓社區的這邊領不到藥然後又再回到原有的醫院 |
transcript.whisperx[589].start |
15604.101 |
transcript.whisperx[589].end |
15620.228 |
transcript.whisperx[589].text |
這個顯然制度上是有問題的啊好謝謝謝謝專委謝謝謝謝劉建國委員的質詢接下來我們請徐欣穎徐欣穎徐欣穎委員不在張家俊張家俊張家俊委員不在鄭振前鄭振前鄭振前委員不在我們請陳瑩委員進行質詢 |
transcript.whisperx[590].start |
15630.645 |
transcript.whisperx[590].end |
15657.664 |
transcript.whisperx[590].text |
謝謝主席,麻煩請衛福部部長還有健保署署長好,請部長跟署長部長好部長好,署長好部長這個是你去年9月8號受訪的時候有提到明年將要規劃65歲以上的經濟弱勢長者那如果是健保第6類的話,就可以免付保費 |
transcript.whisperx[591].start |
15658.484 |
transcript.whisperx[591].end |
15672.236 |
transcript.whisperx[591].text |
那去年呢我也要你們在這個長者的年齡規定上呢就原住民的部分應該要下修到55歲我想要請教一下部長這個目前規劃的進度如何那所需要的經費大概是多少 |
transcript.whisperx[592].start |
15675.517 |
transcript.whisperx[592].end |
15697.196 |
transcript.whisperx[592].text |
這部分的話我想我現在手上是沒有資料因為規劃是在社家署今天我們沒有來出席所以我想會後是不是我再把資料給委員另外接下來我想在這邊先跟部長說明一下再講一下就是 |
transcript.whisperx[593].start |
15700.27 |
transcript.whisperx[593].end |
15729.169 |
transcript.whisperx[593].text |
就是我是屬於那個山要管海也要管然後台灣本島要管外島也要管的這個管很大的原住民選區的立委但是我沒有要選金門縣長但是特別報告一下在所有這個離島的這個涉及的原住民其實已經超過2000多位了那首先呢我要在這邊特別感謝這個衛福部去年在選舉完之後呢 |
transcript.whisperx[594].start |
15732.071 |
transcript.whisperx[594].end |
15755.243 |
transcript.whisperx[594].text |
金門縣政府有向我澄清希望說我來協助爭取提高金門的醫療給付效益提升計畫也就是所謂的IDS的部分我接到他們的澄清之後也馬上召開了協調會 |
transcript.whisperx[595].start |
15758.025 |
transcript.whisperx[595].end |
15761.91 |
transcript.whisperx[595].text |
很感謝衛福部還有臺北榮總的幫忙在過年之後你們就有同意我的建議增加了400萬元的補助給金門這個部分真的非常感謝 |
transcript.whisperx[596].start |
15773.904 |
transcript.whisperx[596].end |
15802.403 |
transcript.whisperx[596].text |
這件事情我另外要講另外一個層面的問題我在協助爭取金門縣的IDS補助之後縣府有發了新聞稿我想在這個新聞稿上面金門縣政府也特別記錄了整個過程從去年我到金門去拜會我的選民拜會金門縣政府 |
transcript.whisperx[597].start |
15804.405 |
transcript.whisperx[597].end |
15828.019 |
transcript.whisperx[597].text |
現場也很認真也整理了這個他們金門的醫療問題然後後來我們辦公室我在回到臺北之後我們辦公室也非常積極的跟衛福部開協調會協助金門縣政府那在這個過程當中呢多次金門縣政府的同仁也到立法院來我們也在繼續的討論所以這個部分 |
transcript.whisperx[598].start |
15833.424 |
transcript.whisperx[598].end |
15846.478 |
transcript.whisperx[598].text |
現府有發新聞稿在特別把這個整個過程去還原那也特別感謝部長的幫忙也謝謝衛福部那也謝謝我們協助金門縣政府來爭取只是說 |
transcript.whisperx[599].start |
15849.361 |
transcript.whisperx[599].end |
15857.991 |
transcript.whisperx[599].text |
這個新聞出來這個新聞出來之後呢有某委員辦公室就打電話去臭罵了你們一頓據說罵了30幾分鐘那這個 |
transcript.whisperx[600].start |
15864.7 |
transcript.whisperx[600].end |
15881.358 |
transcript.whisperx[600].text |
責備你們的內容主要是因為說為什麼這個金門的事情沒有跟他們辦公室說明啦那這個部分我是覺得說這樣子的責備其實有一點很好笑那為什麼好笑是因為我剛剛講了嘛就是說 |
transcript.whisperx[601].start |
15883.641 |
transcript.whisperx[601].end |
15899.759 |
transcript.whisperx[601].text |
這個原住民立委爭取政策或者是推動這個建設這個行政機關有義務要跟該選區的這個漢人立委做說明嗎那如果按照這樣子的邏輯來講那不管就是說 |
transcript.whisperx[602].start |
15900.66 |
transcript.whisperx[602].end |
15920.743 |
transcript.whisperx[602].text |
任何哪一位立委的跟你們建議或爭取的政策那你們這個全部的人都要來跟我講啊都要來跟我回報啊因為我就跟你說我的選區是全國嘛好同理可證對不對這樣你們不就很累我就打電話去罵你們說為什麼那個南投的沒有跟我講屏東的沒有跟我講 |
transcript.whisperx[603].start |
15922.224 |
transcript.whisperx[603].end |
15947.517 |
transcript.whisperx[603].text |
那所以我也要在這邊呼籲一下我們也是當然就是說很熱心的這些同仁們那我想說自己想要爭取的政見大家就是各自去努力不要為難這個行政機關那部長我還想再提一下就是說我記得你有曾經跟我講過這句經典名言我記得非常清楚 |
transcript.whisperx[604].start |
15948.177 |
transcript.whisperx[604].end |
15954.064 |
transcript.whisperx[604].text |
你有說這個好的政策就不需要去強調著作權了那因為這個離島交通的問題導致這個 |
transcript.whisperx[605].start |
15959.845 |
transcript.whisperx[605].end |
15979.133 |
transcript.whisperx[605].text |
這個離島的這個醫療成本明顯高於本島的這個醫療院所那去年9月我有在這邊質詢要求請你們研議將離島的健保點數加成那而且這件事情我後來我們也是開了好幾場的這個協調會我想這個不曉得你們昨天好像也是有開了針對這個問題又有開會 |
transcript.whisperx[606].start |
15983.674 |
transcript.whisperx[606].end |
16004.124 |
transcript.whisperx[606].text |
聽說有一些好的結果,不曉得你們目前這個狀況是怎麼樣?那這部分是請署長來回答,因為他有比較是經營基金的。謝謝委員關心這個離島的經營成本。那在昨天的醫院總額部門的協商裡面呢,那麼有 |
transcript.whisperx[607].start |
16005.024 |
transcript.whisperx[607].end |
16031.65 |
transcript.whisperx[607].text |
得到同意在這個今年的這個總額裡面有關於這個離島包含這個連江包含這個金門跟澎湖都適用那麼在住院部分那麼加成30%就是加三成這個後面的程序還要再經過共理會然後再爭過預告所以最快的話應該會是在5月1號以後實施 |
transcript.whisperx[608].start |
16032.568 |
transcript.whisperx[608].end |
16051.997 |
transcript.whisperx[608].text |
好謝謝那我想我也很高興聽到有我們初步有這樣子的一個好消息那這個我理解本期理解就是說或許在這樣子的提議要求如果沒有衛福部的這個很強力的這個支持 |
transcript.whisperx[609].start |
16053.178 |
transcript.whisperx[609].end |
16053.638 |
transcript.whisperx[609].text |
委員會主席 |
transcript.whisperx[610].start |
16067.694 |
transcript.whisperx[610].end |
16085.53 |
transcript.whisperx[610].text |
我幫這個金門爭取到這個IDS400萬元經費的新聞是2月22號見報的那因為這個報紙被其他同仁看到了所以打電話去罵完你們之後呢2月24號 |
transcript.whisperx[611].start |
16088.642 |
transcript.whisperx[611].end |
16116.538 |
transcript.whisperx[611].text |
這個內容呢這件爭取這件事情我們就把我爭取這個提高就是離島健保點數的這件事情拿去做新聞然後寫成是他們辦公室爭取的那我是說我只是想心裡有一個疑惑啦會不會是他們打完電話罵完你們之後我也很想了解說是有哪一位有特別提醒 |
transcript.whisperx[612].start |
16121.45 |
transcript.whisperx[612].end |
16135.562 |
transcript.whisperx[612].text |
陳穎有在幫離島爭取健保點數的加成所以被拿去做新聞我希望我這個情況如果說是我剛剛講的那個樣子的話 |
transcript.whisperx[613].start |
16138.965 |
transcript.whisperx[613].end |
16139.005 |
transcript.whisperx[613].text |
主席 |
transcript.whisperx[614].start |
16155.097 |
transcript.whisperx[614].end |
16155.897 |
transcript.whisperx[614].text |
民眾有知的權利我們這個部分還是要 |
transcript.whisperx[615].start |
16176.363 |
transcript.whisperx[615].end |
16204.57 |
transcript.whisperx[615].text |
長長就是讓民眾很清楚的知道這個過程我們要去還原那因為本席我們辦公室所有同仁的努力也是常常被收割所以呢在經過多年的這個領悟之後呢我覺得未來遇到這種事情我就是要在這裡講清楚那大概是這樣子一起爭取是好事但是馬後炮、移花接木、收割這樣子就不太好 |
transcript.whisperx[616].start |
16205.766 |
transcript.whisperx[616].end |
16223.665 |
transcript.whisperx[616].text |
委員的努力結果大家都看得見但是難免會有這種被收割的一個情況不過我們的同仁被罵也是很習慣好啦 那我們在這邊也是再一次謝謝大家的努力 謝謝 |
transcript.whisperx[617].start |
16225.96 |
transcript.whisperx[617].end |
16226.661 |
transcript.whisperx[617].text |
主席,我請一下部長 |
transcript.whisperx[618].start |
16254.909 |
transcript.whisperx[618].end |
16255.36 |
transcript.whisperx[618].text |
好啊,部長請 |
transcript.whisperx[619].start |
16260.247 |
transcript.whisperx[619].end |
16266.87 |
transcript.whisperx[619].text |
部長我們談缺藥的問題之前有個問題我想要先跟部長做個探討就是為什麼我們民國70幾年就有掛號費的上限的規定那時候沒有那從什麼時候開始有 |
transcript.whisperx[620].start |
16288.516 |
transcript.whisperx[620].end |
16316.408 |
transcript.whisperx[620].text |
我記得是一百零幾年的時候才有這個公告那為什麼會突然想要取消因為我跟委員報告因為從七十幾年的時候那時候的衛生署就有一個解釋這一個所謂的醫療機構的括號費那不是屬於醫療費用是屬於行政費用 |
transcript.whisperx[621].start |
16317.448 |
transcript.whisperx[621].end |
16344.733 |
transcript.whisperx[621].text |
他的目的就是說他不在醫療法的收費標準必須要到衛生局去備查範圍之內所以本來都是這個樣子但是一百零幾年我不知道當時的背景是怎麼樣就突然有一個公告說醫療費的話醫療機構的掛號費如果超出什麼樣的上限之後的話 |
transcript.whisperx[622].start |
16345.433 |
transcript.whisperx[622].end |
16369.849 |
transcript.whisperx[622].text |
那就必須要到衛生局去備查那後來地方的衛生局大部分就拿了這一個公告就去做審查而不是備查就是說那個送過來的我就看如果說超出我們的所謂的一個參考標準的話通通都不准變成實質審查那這樣子就是違反法律的規定 |
transcript.whisperx[623].start |
16371.97 |
transcript.whisperx[623].end |
16397.367 |
transcript.whisperx[623].text |
因為法律沒有規定花費這種行政費用的話必須要去做審查沒有授權行政機關可以做這樣子部長講的我覺得是很有道理可是會不會有一個情形就是說因為他原本可能假如當初就沒有上線的規定 |
transcript.whisperx[624].start |
16398.53 |
transcript.whisperx[624].end |
16416.204 |
transcript.whisperx[624].text |
部長現在講的 我覺得立場上完全認同因為現在有上限 有上限的標準那現在突然取消了 有沒有可能所有的醫院 |
transcript.whisperx[625].start |
16418.482 |
transcript.whisperx[625].end |
16445.194 |
transcript.whisperx[625].text |
如果是聯合的話,那就是公平會會介入,以前曾經有過某一個地區的幾家診所,他們講好了就同時把這瓜費調高,那這公平會就進去了,所以聯合行為是絕對不可以的。我知道啦,可是他總是會有規避的方式,因為大概就是各 |
transcript.whisperx[626].start |
16448.602 |
transcript.whisperx[626].end |
16451.245 |
transcript.whisperx[626].text |
醫療層級相同的他的行政費用其實 |
transcript.whisperx[627].start |
16454.244 |
transcript.whisperx[627].end |
16455.744 |
transcript.whisperx[627].text |
聯合行為最怕的就是同一個區域? |
transcript.whisperx[628].start |
16484.731 |
transcript.whisperx[628].end |
16499.967 |
transcript.whisperx[628].text |
如果不同區域去聯合的話沒有太大意義因為病人都是會就近去就醫嘛所以如果他同一個區域有幾家的醫療院所同時都長起來的話那我們就請公平會去查 |
transcript.whisperx[629].start |
16502.011 |
transcript.whisperx[629].end |
16504.013 |
transcript.whisperx[629].text |
所以這個問題我覺得最容易發生在醫學中心 |
transcript.whisperx[630].start |
16523.727 |
transcript.whisperx[630].end |
16548.849 |
transcript.whisperx[630].text |
醫學中心因為醫學中心呢就是大家沒得選啦應該也不會啦他已經到最高層級了啦那假如說大家但是要看什麼病啦有些病可能是醫學中心才會處理的那但是大部分的病不會因為醫學中心他也可能可能就是就是以以價自量啦我現在怕產生這個問題啦 |
transcript.whisperx[631].start |
16551.431 |
transcript.whisperx[631].end |
16577.436 |
transcript.whisperx[631].text |
部長你懂我的意思嗎?我知道因為醫學中心他假如說覺得他的病患病患太多他可能當他所有的醫學中心一起一起漲價的時候其實他區域是分散的啦那這當然我們也會監測啦因為情況當然是不一樣不是用區域去看這個 |
transcript.whisperx[632].start |
16580.939 |
transcript.whisperx[632].end |
16604.99 |
transcript.whisperx[632].text |
其實我要來質詢的時候我就知道部長會怎麼回答,我也認同你的觀點不過就是有一些後續的問題我們還是要特別是漲價以後對於經濟比較弱勢的人的權益,這個後續可能要觀察一下 |
transcript.whisperx[633].start |
16605.75 |
transcript.whisperx[633].end |
16623.913 |
transcript.whisperx[633].text |
這個部分的話也跟委員報告,其實我們是在這一個所謂的公財的回饋金的部分的話,有分給各個縣市那他其中要補貼的就是一些低收中低收,他的醫療費、就醫的這個括號費那個是已經寫在那裡?這個有?對對對好,謝謝部長還沒問完藥的部分呢 |
transcript.whisperx[634].start |
16635.305 |
transcript.whisperx[634].end |
16649.157 |
transcript.whisperx[634].text |
我們缺藥的因素大概可以分為三個可能性一個是國際情勢的影響一個原物料的短缺一個國內用藥需求的激增 |
transcript.whisperx[635].start |
16650.678 |
transcript.whisperx[635].end |
16671.506 |
transcript.whisperx[635].text |
請問部長這三個因素哪一個因素對於臺灣影響最大?發生的時候其實是影響最大是第一個啦就是國際情勢國際情勢影響就是找不到了全世界都找不到了全世界都找不到或者說臺灣人家都不會提供到臺灣 |
transcript.whisperx[636].start |
16673.463 |
transcript.whisperx[636].end |
16701.668 |
transcript.whisperx[636].text |
這比方說那有這所謂的封鎖等等這類的情形那假如發生的話怎麼因應?所以我們就必須要在反應要在前面要去做這種預防措施預防措施就是我們會把必要的一些藥品的項目把它列出來然後我們這些藥品的項目的話要增加它的庫存、占備庫存那第二個就是要 |
transcript.whisperx[637].start |
16703.122 |
transcript.whisperx[637].end |
16716.738 |
transcript.whisperx[637].text |
鼓勵國內自己生產,不然的話到時候一封鎖的話,那原廠就進不來了。那自己又沒有辦法製造,這個就會有風險。也就是必須要準備盤點、監控相關的庫存?我們現在有480多項。 |
transcript.whisperx[638].start |
16722.504 |
transcript.whisperx[638].end |
16745.046 |
transcript.whisperx[638].text |
那另外像國內用藥需求激增的話,我們還可以透過加速進口來做處理。我最後再問一個問題就是,我們實施藥品費用分配比例目標 |
transcript.whisperx[639].start |
16747.491 |
transcript.whisperx[639].end |
16770.257 |
transcript.whisperx[639].text |
每年檢討以及調整藥價以後藥商必須要事先跟醫事機構重新議價藥品市場的穩定性會不會比之前兩年調整一次 |
transcript.whisperx[640].start |
16772.028 |
transcript.whisperx[640].end |
16798.525 |
transcript.whisperx[640].text |
會不會不穩定?其實如果他習慣了就會穩定簡單來講這個答案還不錯就可預期可預期的話所有的廠商跟醫療院所都會先預作準備所以這部分的話是如果是他形成一個規則的一個制度的話那應該就會相對是因為之前兩年兩年一次比較可能產生藥價黑洞 |
transcript.whisperx[641].start |
16800.846 |
transcript.whisperx[641].end |
16818.461 |
transcript.whisperx[641].text |
那個幅度會變大,其實對藥廠來講的話也不是我那一年,部長的回答就是只要有預期,大家就會做準備,所以就不會有太大的變化好,謝謝部長、謝謝主席 |
transcript.whisperx[642].start |
16820.694 |
transcript.whisperx[642].end |
16846.011 |
transcript.whisperx[642].text |
好 謝謝楊耀委員的質詢本日會議詢答全部結束委員楊耀、楊瓊英所提書面質詢列入紀錄刊登公報現在做以下決定報告及詢答完畢委員質詢未及答覆或請補充資料者請相關機關於兩週內以書面答覆委員另要求期限者從其鎖定本次會議到此結束現在散會謝謝大家 |
transcript.whisperx[643].start |
16850.695 |
transcript.whisperx[643].end |
16851.457 |
transcript.whisperx[643].text |
委員會主席 |
transcript.whisperx[644].start |
16866.316 |
transcript.whisperx[644].end |
16866.517 |
transcript.whisperx[644].text |
主席 |