iVOD / 16929

Field Value
IVOD_ID 16929
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16929
日期 2025-10-08
會議資料.會議代碼 聯席會議-11-4-20,15,35,19,22,26-1
會議資料.會議代碼:str 第11屆第4會期財政、內政、外交及國防、經濟、教育及文化、社會福利及衛生環境委員會第1次聯席會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 1
會議資料.種類 聯席會議
會議資料.委員會代碼[0] 20
會議資料.委員會代碼[1] 15
會議資料.委員會代碼[2] 35
會議資料.委員會代碼[3] 19
會議資料.委員會代碼[4] 22
會議資料.委員會代碼[5] 26
會議資料.委員會代碼:str[0] 財政委員會
會議資料.委員會代碼:str[1] 內政委員會
會議資料.委員會代碼:str[2] 外交及國防委員會
會議資料.委員會代碼:str[3] 經濟委員會
會議資料.委員會代碼:str[4] 教育及文化委員會
會議資料.委員會代碼:str[5] 社會福利及衛生環境委員會
會議資料.標題 第11屆第4會期財政、內政、外交及國防、經濟、教育及文化、社會福利及衛生環境委員會第1次聯席會議
影片種類 Full
開始時間 2025-10-08T08:40:34+08:00
結束時間 2025-10-08T16:17:00+08:00
影片長度 07:36:26
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/b41997f390c3528e523447af23cba8b8d94032aacce2863b2eb94a68550f7b5be20ac452663876d35ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2025-10-08T09:00:00+08:00
會議名稱 立法院第11屆第4會期財政、內政、外交及國防、經濟、教育及文化、社會福利及衛生環境委員會第1次聯席會議(事由:審查行政院函請審議「中央政府因應國際情勢強化經濟社會及民生國安韌性特別預算案(114年度至116年度)」【詢答及處理,預算提案於10月8日上午10時截止收件】【10月8日及9日兩天一次會】)
委員名稱 完整會議
委員發言時間 08:40:34 - 16:17:00
transcript.pyannote[0].speaker SPEAKER_55
transcript.pyannote[0].start 1291.37346875
transcript.pyannote[0].end 1291.93034375
transcript.pyannote[1].speaker SPEAKER_55
transcript.pyannote[1].start 1292.38596875
transcript.pyannote[1].end 1294.02284375
transcript.pyannote[2].speaker SPEAKER_55
transcript.pyannote[2].start 1295.00159375
transcript.pyannote[2].end 1296.77346875
transcript.pyannote[3].speaker SPEAKER_55
transcript.pyannote[3].start 1300.48596875
transcript.pyannote[3].end 1302.89909375
transcript.pyannote[4].speaker SPEAKER_46
transcript.pyannote[4].start 1303.45596875
transcript.pyannote[4].end 1306.71284375
transcript.pyannote[5].speaker SPEAKER_55
transcript.pyannote[5].start 1309.12596875
transcript.pyannote[5].end 1314.13784375
transcript.pyannote[6].speaker SPEAKER_12
transcript.pyannote[6].start 1315.01534375
transcript.pyannote[6].end 1324.80284375
transcript.pyannote[7].speaker SPEAKER_55
transcript.pyannote[7].start 1327.28346875
transcript.pyannote[7].end 1328.85284375
transcript.pyannote[8].speaker SPEAKER_55
transcript.pyannote[8].start 1330.47284375
transcript.pyannote[8].end 1332.34596875
transcript.pyannote[9].speaker SPEAKER_55
transcript.pyannote[9].start 1333.81409375
transcript.pyannote[9].end 1337.32409375
transcript.pyannote[10].speaker SPEAKER_55
transcript.pyannote[10].start 1340.85096875
transcript.pyannote[10].end 1347.48284375
transcript.pyannote[11].speaker SPEAKER_55
transcript.pyannote[11].start 1351.04346875
transcript.pyannote[11].end 1354.09784375
transcript.pyannote[12].speaker SPEAKER_55
transcript.pyannote[12].start 1356.42659375
transcript.pyannote[12].end 1358.36721875
transcript.pyannote[13].speaker SPEAKER_55
transcript.pyannote[13].start 1358.82284375
transcript.pyannote[13].end 1359.58221875
transcript.pyannote[14].speaker SPEAKER_55
transcript.pyannote[14].start 1361.52284375
transcript.pyannote[14].end 1362.97409375
transcript.pyannote[15].speaker SPEAKER_59
transcript.pyannote[15].start 1362.97409375
transcript.pyannote[15].end 1363.64909375
transcript.pyannote[16].speaker SPEAKER_55
transcript.pyannote[16].start 1363.64909375
transcript.pyannote[16].end 1363.68284375
transcript.pyannote[17].speaker SPEAKER_59
transcript.pyannote[17].start 1364.79659375
transcript.pyannote[17].end 1365.50534375
transcript.pyannote[18].speaker SPEAKER_55
transcript.pyannote[18].start 1366.51784375
transcript.pyannote[18].end 1366.53471875
transcript.pyannote[19].speaker SPEAKER_59
transcript.pyannote[19].start 1366.53471875
transcript.pyannote[19].end 1368.52596875
transcript.pyannote[20].speaker SPEAKER_59
transcript.pyannote[20].start 1369.80846875
transcript.pyannote[20].end 1371.04034375
transcript.pyannote[21].speaker SPEAKER_59
transcript.pyannote[21].start 1371.88409375
transcript.pyannote[21].end 1375.25909375
transcript.pyannote[22].speaker SPEAKER_55
transcript.pyannote[22].start 1379.66346875
transcript.pyannote[22].end 1388.05034375
transcript.pyannote[23].speaker SPEAKER_55
transcript.pyannote[23].start 1389.24846875
transcript.pyannote[23].end 1392.87659375
transcript.pyannote[24].speaker SPEAKER_55
transcript.pyannote[24].start 1394.42909375
transcript.pyannote[24].end 1400.06534375
transcript.pyannote[25].speaker SPEAKER_55
transcript.pyannote[25].start 1400.94284375
transcript.pyannote[25].end 1404.85784375
transcript.pyannote[26].speaker SPEAKER_55
transcript.pyannote[26].start 1406.96721875
transcript.pyannote[26].end 1413.02534375
transcript.pyannote[27].speaker SPEAKER_55
transcript.pyannote[27].start 1413.07596875
transcript.pyannote[27].end 1421.64846875
transcript.pyannote[28].speaker SPEAKER_55
transcript.pyannote[28].start 1421.85096875
transcript.pyannote[28].end 1422.69471875
transcript.pyannote[29].speaker SPEAKER_55
transcript.pyannote[29].start 1422.88034375
transcript.pyannote[29].end 1425.64784375
transcript.pyannote[30].speaker SPEAKER_55
transcript.pyannote[30].start 1425.78284375
transcript.pyannote[30].end 1432.16159375
transcript.pyannote[31].speaker SPEAKER_55
transcript.pyannote[31].start 1432.39784375
transcript.pyannote[31].end 1436.31284375
transcript.pyannote[32].speaker SPEAKER_55
transcript.pyannote[32].start 1436.58284375
transcript.pyannote[32].end 1454.89221875
transcript.pyannote[33].speaker SPEAKER_55
transcript.pyannote[33].start 1455.49971875
transcript.pyannote[33].end 1455.98909375
transcript.pyannote[34].speaker SPEAKER_37
transcript.pyannote[34].start 1460.61284375
transcript.pyannote[34].end 1504.97721875
transcript.pyannote[35].speaker SPEAKER_37
transcript.pyannote[35].start 1505.28096875
transcript.pyannote[35].end 1530.62721875
transcript.pyannote[36].speaker SPEAKER_37
transcript.pyannote[36].start 1531.30221875
transcript.pyannote[36].end 1593.85784375
transcript.pyannote[37].speaker SPEAKER_37
transcript.pyannote[37].start 1594.56659375
transcript.pyannote[37].end 1628.35034375
transcript.pyannote[38].speaker SPEAKER_37
transcript.pyannote[38].start 1631.01659375
transcript.pyannote[38].end 1656.29534375
transcript.pyannote[39].speaker SPEAKER_37
transcript.pyannote[39].start 1656.39659375
transcript.pyannote[39].end 1681.43909375
transcript.pyannote[40].speaker SPEAKER_55
transcript.pyannote[40].start 1682.18159375
transcript.pyannote[40].end 1683.90284375
transcript.pyannote[41].speaker SPEAKER_55
transcript.pyannote[41].start 1685.48909375
transcript.pyannote[41].end 1691.56409375
transcript.pyannote[42].speaker SPEAKER_47
transcript.pyannote[42].start 1696.40721875
transcript.pyannote[42].end 1711.24034375
transcript.pyannote[43].speaker SPEAKER_47
transcript.pyannote[43].start 1711.51034375
transcript.pyannote[43].end 1715.42534375
transcript.pyannote[44].speaker SPEAKER_47
transcript.pyannote[44].start 1715.61096875
transcript.pyannote[44].end 1743.26909375
transcript.pyannote[45].speaker SPEAKER_47
transcript.pyannote[45].start 1743.42096875
transcript.pyannote[45].end 1766.45534375
transcript.pyannote[46].speaker SPEAKER_47
transcript.pyannote[46].start 1767.16409375
transcript.pyannote[46].end 1780.30971875
transcript.pyannote[47].speaker SPEAKER_47
transcript.pyannote[47].start 1781.49096875
transcript.pyannote[47].end 1814.56596875
transcript.pyannote[48].speaker SPEAKER_47
transcript.pyannote[48].start 1815.02159375
transcript.pyannote[48].end 1850.23971875
transcript.pyannote[49].speaker SPEAKER_47
transcript.pyannote[49].start 1850.29034375
transcript.pyannote[49].end 1881.32346875
transcript.pyannote[50].speaker SPEAKER_52
transcript.pyannote[50].start 1876.58159375
transcript.pyannote[50].end 1876.93596875
transcript.pyannote[51].speaker SPEAKER_47
transcript.pyannote[51].start 1881.66096875
transcript.pyannote[51].end 1890.87471875
transcript.pyannote[52].speaker SPEAKER_55
transcript.pyannote[52].start 1892.05596875
transcript.pyannote[52].end 1893.50721875
transcript.pyannote[53].speaker SPEAKER_55
transcript.pyannote[53].start 1894.57034375
transcript.pyannote[53].end 1898.83971875
transcript.pyannote[54].speaker SPEAKER_08
transcript.pyannote[54].start 1905.82596875
transcript.pyannote[54].end 1907.22659375
transcript.pyannote[55].speaker SPEAKER_08
transcript.pyannote[55].start 1907.78346875
transcript.pyannote[55].end 1908.81284375
transcript.pyannote[56].speaker SPEAKER_08
transcript.pyannote[56].start 1909.01534375
transcript.pyannote[56].end 1910.04471875
transcript.pyannote[57].speaker SPEAKER_08
transcript.pyannote[57].start 1910.19659375
transcript.pyannote[57].end 1910.92221875
transcript.pyannote[58].speaker SPEAKER_08
transcript.pyannote[58].start 1911.52971875
transcript.pyannote[58].end 1914.44909375
transcript.pyannote[59].speaker SPEAKER_08
transcript.pyannote[59].start 1914.97221875
transcript.pyannote[59].end 1917.21659375
transcript.pyannote[60].speaker SPEAKER_08
transcript.pyannote[60].start 1917.80721875
transcript.pyannote[60].end 1922.43096875
transcript.pyannote[61].speaker SPEAKER_08
transcript.pyannote[61].start 1922.73471875
transcript.pyannote[61].end 1924.03409375
transcript.pyannote[62].speaker SPEAKER_08
transcript.pyannote[62].start 1924.50659375
transcript.pyannote[62].end 1928.87721875
transcript.pyannote[63].speaker SPEAKER_08
transcript.pyannote[63].start 1929.16409375
transcript.pyannote[63].end 1932.38721875
transcript.pyannote[64].speaker SPEAKER_08
transcript.pyannote[64].start 1932.97784375
transcript.pyannote[64].end 1939.10346875
transcript.pyannote[65].speaker SPEAKER_08
transcript.pyannote[65].start 1939.39034375
transcript.pyannote[65].end 1947.03471875
transcript.pyannote[66].speaker SPEAKER_08
transcript.pyannote[66].start 1947.13596875
transcript.pyannote[66].end 1947.18659375
transcript.pyannote[67].speaker SPEAKER_66
transcript.pyannote[67].start 1947.18659375
transcript.pyannote[67].end 1947.28784375
transcript.pyannote[68].speaker SPEAKER_08
transcript.pyannote[68].start 1947.67596875
transcript.pyannote[68].end 1967.77409375
transcript.pyannote[69].speaker SPEAKER_08
transcript.pyannote[69].start 1968.22971875
transcript.pyannote[69].end 1969.29284375
transcript.pyannote[70].speaker SPEAKER_08
transcript.pyannote[70].start 1969.52909375
transcript.pyannote[70].end 1972.00971875
transcript.pyannote[71].speaker SPEAKER_08
transcript.pyannote[71].start 1972.19534375
transcript.pyannote[71].end 1976.17784375
transcript.pyannote[72].speaker SPEAKER_08
transcript.pyannote[72].start 1977.73034375
transcript.pyannote[72].end 1978.57409375
transcript.pyannote[73].speaker SPEAKER_08
transcript.pyannote[73].start 1979.18159375
transcript.pyannote[73].end 1992.27659375
transcript.pyannote[74].speaker SPEAKER_08
transcript.pyannote[74].start 1993.10346875
transcript.pyannote[74].end 2017.25159375
transcript.pyannote[75].speaker SPEAKER_08
transcript.pyannote[75].start 2017.60596875
transcript.pyannote[75].end 2023.42784375
transcript.pyannote[76].speaker SPEAKER_08
transcript.pyannote[76].start 2024.35596875
transcript.pyannote[76].end 2025.92534375
transcript.pyannote[77].speaker SPEAKER_08
transcript.pyannote[77].start 2026.14471875
transcript.pyannote[77].end 2036.13471875
transcript.pyannote[78].speaker SPEAKER_08
transcript.pyannote[78].start 2036.28659375
transcript.pyannote[78].end 2041.34909375
transcript.pyannote[79].speaker SPEAKER_08
transcript.pyannote[79].start 2041.82159375
transcript.pyannote[79].end 2044.03221875
transcript.pyannote[80].speaker SPEAKER_08
transcript.pyannote[80].start 2044.15034375
transcript.pyannote[80].end 2048.65596875
transcript.pyannote[81].speaker SPEAKER_08
transcript.pyannote[81].start 2049.06096875
transcript.pyannote[81].end 2051.22096875
transcript.pyannote[82].speaker SPEAKER_08
transcript.pyannote[82].start 2051.64284375
transcript.pyannote[82].end 2054.89971875
transcript.pyannote[83].speaker SPEAKER_08
transcript.pyannote[83].start 2055.38909375
transcript.pyannote[83].end 2061.66659375
transcript.pyannote[84].speaker SPEAKER_08
transcript.pyannote[84].start 2062.79721875
transcript.pyannote[84].end 2082.57471875
transcript.pyannote[85].speaker SPEAKER_08
transcript.pyannote[85].start 2082.94596875
transcript.pyannote[85].end 2083.90784375
transcript.pyannote[86].speaker SPEAKER_08
transcript.pyannote[86].start 2083.97534375
transcript.pyannote[86].end 2116.07159375
transcript.pyannote[87].speaker SPEAKER_59
transcript.pyannote[87].start 2118.36659375
transcript.pyannote[87].end 2123.19284375
transcript.pyannote[88].speaker SPEAKER_59
transcript.pyannote[88].start 2124.52596875
transcript.pyannote[88].end 2125.20096875
transcript.pyannote[89].speaker SPEAKER_59
transcript.pyannote[89].start 2126.12909375
transcript.pyannote[89].end 2127.20909375
transcript.pyannote[90].speaker SPEAKER_59
transcript.pyannote[90].start 2134.46534375
transcript.pyannote[90].end 2135.54534375
transcript.pyannote[91].speaker SPEAKER_11
transcript.pyannote[91].start 2141.51909375
transcript.pyannote[91].end 2145.26534375
transcript.pyannote[92].speaker SPEAKER_11
transcript.pyannote[92].start 2145.99096875
transcript.pyannote[92].end 2151.64409375
transcript.pyannote[93].speaker SPEAKER_11
transcript.pyannote[93].start 2152.79159375
transcript.pyannote[93].end 2153.41596875
transcript.pyannote[94].speaker SPEAKER_11
transcript.pyannote[94].start 2153.97284375
transcript.pyannote[94].end 2155.35659375
transcript.pyannote[95].speaker SPEAKER_11
transcript.pyannote[95].start 2156.70659375
transcript.pyannote[95].end 2161.36409375
transcript.pyannote[96].speaker SPEAKER_11
transcript.pyannote[96].start 2162.30909375
transcript.pyannote[96].end 2163.67596875
transcript.pyannote[97].speaker SPEAKER_11
transcript.pyannote[97].start 2163.91221875
transcript.pyannote[97].end 2164.78971875
transcript.pyannote[98].speaker SPEAKER_11
transcript.pyannote[98].start 2165.92034375
transcript.pyannote[98].end 2170.42596875
transcript.pyannote[99].speaker SPEAKER_11
transcript.pyannote[99].start 2171.13471875
transcript.pyannote[99].end 2174.22284375
transcript.pyannote[100].speaker SPEAKER_11
transcript.pyannote[100].start 2174.72909375
transcript.pyannote[100].end 2184.90471875
transcript.pyannote[101].speaker SPEAKER_11
transcript.pyannote[101].start 2185.69784375
transcript.pyannote[101].end 2189.29221875
transcript.pyannote[102].speaker SPEAKER_11
transcript.pyannote[102].start 2190.16971875
transcript.pyannote[102].end 2193.51096875
transcript.pyannote[103].speaker SPEAKER_11
transcript.pyannote[103].start 2193.98346875
transcript.pyannote[103].end 2195.75534375
transcript.pyannote[104].speaker SPEAKER_11
transcript.pyannote[104].start 2195.97471875
transcript.pyannote[104].end 2201.81346875
transcript.pyannote[105].speaker SPEAKER_11
transcript.pyannote[105].start 2202.33659375
transcript.pyannote[105].end 2208.79971875
transcript.pyannote[106].speaker SPEAKER_11
transcript.pyannote[106].start 2209.52534375
transcript.pyannote[106].end 2210.21721875
transcript.pyannote[107].speaker SPEAKER_11
transcript.pyannote[107].start 2211.21284375
transcript.pyannote[107].end 2217.23721875
transcript.pyannote[108].speaker SPEAKER_11
transcript.pyannote[108].start 2217.59159375
transcript.pyannote[108].end 2225.60721875
transcript.pyannote[109].speaker SPEAKER_11
transcript.pyannote[109].start 2226.14721875
transcript.pyannote[109].end 2237.26784375
transcript.pyannote[110].speaker SPEAKER_11
transcript.pyannote[110].start 2237.57159375
transcript.pyannote[110].end 2242.80284375
transcript.pyannote[111].speaker SPEAKER_11
transcript.pyannote[111].start 2243.15721875
transcript.pyannote[111].end 2245.94159375
transcript.pyannote[112].speaker SPEAKER_11
transcript.pyannote[112].start 2246.29596875
transcript.pyannote[112].end 2257.60221875
transcript.pyannote[113].speaker SPEAKER_11
transcript.pyannote[113].start 2257.92284375
transcript.pyannote[113].end 2262.25971875
transcript.pyannote[114].speaker SPEAKER_11
transcript.pyannote[114].start 2262.78284375
transcript.pyannote[114].end 2264.25096875
transcript.pyannote[115].speaker SPEAKER_11
transcript.pyannote[115].start 2264.53784375
transcript.pyannote[115].end 2267.98034375
transcript.pyannote[116].speaker SPEAKER_11
transcript.pyannote[116].start 2268.52034375
transcript.pyannote[116].end 2283.33659375
transcript.pyannote[117].speaker SPEAKER_11
transcript.pyannote[117].start 2283.74159375
transcript.pyannote[117].end 2291.23409375
transcript.pyannote[118].speaker SPEAKER_11
transcript.pyannote[118].start 2291.87534375
transcript.pyannote[118].end 2294.32221875
transcript.pyannote[119].speaker SPEAKER_11
transcript.pyannote[119].start 2295.36846875
transcript.pyannote[119].end 2297.56221875
transcript.pyannote[120].speaker SPEAKER_11
transcript.pyannote[120].start 2297.86596875
transcript.pyannote[120].end 2299.50284375
transcript.pyannote[121].speaker SPEAKER_11
transcript.pyannote[121].start 2299.78971875
transcript.pyannote[121].end 2304.91971875
transcript.pyannote[122].speaker SPEAKER_11
transcript.pyannote[122].start 2305.25721875
transcript.pyannote[122].end 2324.51159375
transcript.pyannote[123].speaker SPEAKER_11
transcript.pyannote[123].start 2324.93346875
transcript.pyannote[123].end 2357.92409375
transcript.pyannote[124].speaker SPEAKER_11
transcript.pyannote[124].start 2359.24034375
transcript.pyannote[124].end 2387.59034375
transcript.pyannote[125].speaker SPEAKER_55
transcript.pyannote[125].start 2388.95721875
transcript.pyannote[125].end 2388.97409375
transcript.pyannote[126].speaker SPEAKER_59
transcript.pyannote[126].start 2388.97409375
transcript.pyannote[126].end 2389.02471875
transcript.pyannote[127].speaker SPEAKER_55
transcript.pyannote[127].start 2389.02471875
transcript.pyannote[127].end 2391.06659375
transcript.pyannote[128].speaker SPEAKER_55
transcript.pyannote[128].start 2392.01159375
transcript.pyannote[128].end 2402.05221875
transcript.pyannote[129].speaker SPEAKER_55
transcript.pyannote[129].start 2402.62596875
transcript.pyannote[129].end 2424.79971875
transcript.pyannote[130].speaker SPEAKER_55
transcript.pyannote[130].start 2425.47471875
transcript.pyannote[130].end 2426.60534375
transcript.pyannote[131].speaker SPEAKER_55
transcript.pyannote[131].start 2428.41096875
transcript.pyannote[131].end 2429.05221875
transcript.pyannote[132].speaker SPEAKER_55
transcript.pyannote[132].start 2429.82846875
transcript.pyannote[132].end 2444.47596875
transcript.pyannote[133].speaker SPEAKER_55
transcript.pyannote[133].start 2445.15096875
transcript.pyannote[133].end 2447.83409375
transcript.pyannote[134].speaker SPEAKER_55
transcript.pyannote[134].start 2448.13784375
transcript.pyannote[134].end 2453.41971875
transcript.pyannote[135].speaker SPEAKER_55
transcript.pyannote[135].start 2454.02721875
transcript.pyannote[135].end 2454.55034375
transcript.pyannote[136].speaker SPEAKER_34
transcript.pyannote[136].start 2466.46409375
transcript.pyannote[136].end 2468.10096875
transcript.pyannote[137].speaker SPEAKER_34
transcript.pyannote[137].start 2468.84346875
transcript.pyannote[137].end 2470.69971875
transcript.pyannote[138].speaker SPEAKER_34
transcript.pyannote[138].start 2471.12159375
transcript.pyannote[138].end 2473.93971875
transcript.pyannote[139].speaker SPEAKER_34
transcript.pyannote[139].start 2474.10846875
transcript.pyannote[139].end 2474.93534375
transcript.pyannote[140].speaker SPEAKER_34
transcript.pyannote[140].start 2475.32346875
transcript.pyannote[140].end 2476.28534375
transcript.pyannote[141].speaker SPEAKER_34
transcript.pyannote[141].start 2477.21346875
transcript.pyannote[141].end 2479.44096875
transcript.pyannote[142].speaker SPEAKER_34
transcript.pyannote[142].start 2479.60971875
transcript.pyannote[142].end 2481.63471875
transcript.pyannote[143].speaker SPEAKER_57
transcript.pyannote[143].start 2481.93846875
transcript.pyannote[143].end 2485.27971875
transcript.pyannote[144].speaker SPEAKER_47
transcript.pyannote[144].start 2495.50596875
transcript.pyannote[144].end 2496.04596875
transcript.pyannote[145].speaker SPEAKER_34
transcript.pyannote[145].start 2496.58596875
transcript.pyannote[145].end 2497.12596875
transcript.pyannote[146].speaker SPEAKER_34
transcript.pyannote[146].start 2498.13846875
transcript.pyannote[146].end 2501.10846875
transcript.pyannote[147].speaker SPEAKER_34
transcript.pyannote[147].start 2501.49659375
transcript.pyannote[147].end 2502.96471875
transcript.pyannote[148].speaker SPEAKER_34
transcript.pyannote[148].start 2503.31909375
transcript.pyannote[148].end 2510.00159375
transcript.pyannote[149].speaker SPEAKER_34
transcript.pyannote[149].start 2510.87909375
transcript.pyannote[149].end 2511.67221875
transcript.pyannote[150].speaker SPEAKER_47
transcript.pyannote[150].start 2511.94221875
transcript.pyannote[150].end 2528.32784375
transcript.pyannote[151].speaker SPEAKER_34
transcript.pyannote[151].start 2528.32784375
transcript.pyannote[151].end 2528.66534375
transcript.pyannote[152].speaker SPEAKER_34
transcript.pyannote[152].start 2529.18846875
transcript.pyannote[152].end 2529.74534375
transcript.pyannote[153].speaker SPEAKER_34
transcript.pyannote[153].start 2530.40346875
transcript.pyannote[153].end 2531.41596875
transcript.pyannote[154].speaker SPEAKER_34
transcript.pyannote[154].start 2532.07409375
transcript.pyannote[154].end 2534.53784375
transcript.pyannote[155].speaker SPEAKER_34
transcript.pyannote[155].start 2536.63034375
transcript.pyannote[155].end 2546.97471875
transcript.pyannote[156].speaker SPEAKER_34
transcript.pyannote[156].start 2547.21096875
transcript.pyannote[156].end 2550.87284375
transcript.pyannote[157].speaker SPEAKER_11
transcript.pyannote[157].start 2552.00346875
transcript.pyannote[157].end 2561.03159375
transcript.pyannote[158].speaker SPEAKER_34
transcript.pyannote[158].start 2561.53784375
transcript.pyannote[158].end 2568.76034375
transcript.pyannote[159].speaker SPEAKER_11
transcript.pyannote[159].start 2569.06409375
transcript.pyannote[159].end 2579.57721875
transcript.pyannote[160].speaker SPEAKER_11
transcript.pyannote[160].start 2579.66159375
transcript.pyannote[160].end 2581.39971875
transcript.pyannote[161].speaker SPEAKER_11
transcript.pyannote[161].start 2581.87221875
transcript.pyannote[161].end 2587.64346875
transcript.pyannote[162].speaker SPEAKER_34
transcript.pyannote[162].start 2587.33971875
transcript.pyannote[162].end 2596.13159375
transcript.pyannote[163].speaker SPEAKER_11
transcript.pyannote[163].start 2596.48596875
transcript.pyannote[163].end 2604.97409375
transcript.pyannote[164].speaker SPEAKER_34
transcript.pyannote[164].start 2604.97409375
transcript.pyannote[164].end 2605.17659375
transcript.pyannote[165].speaker SPEAKER_34
transcript.pyannote[165].start 2605.73346875
transcript.pyannote[165].end 2608.02846875
transcript.pyannote[166].speaker SPEAKER_11
transcript.pyannote[166].start 2605.91909375
transcript.pyannote[166].end 2606.03721875
transcript.pyannote[167].speaker SPEAKER_03
transcript.pyannote[167].start 2606.03721875
transcript.pyannote[167].end 2606.32409375
transcript.pyannote[168].speaker SPEAKER_11
transcript.pyannote[168].start 2606.32409375
transcript.pyannote[168].end 2606.34096875
transcript.pyannote[169].speaker SPEAKER_03
transcript.pyannote[169].start 2606.34096875
transcript.pyannote[169].end 2606.39159375
transcript.pyannote[170].speaker SPEAKER_03
transcript.pyannote[170].start 2608.02846875
transcript.pyannote[170].end 2608.31534375
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 2608.56846875
transcript.pyannote[171].end 2616.02721875
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 2616.38159375
transcript.pyannote[172].end 2616.49971875
transcript.pyannote[173].speaker SPEAKER_34
transcript.pyannote[173].start 2616.49971875
transcript.pyannote[173].end 2617.46159375
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 2616.53346875
transcript.pyannote[174].end 2616.83721875
transcript.pyannote[175].speaker SPEAKER_34
transcript.pyannote[175].start 2618.06909375
transcript.pyannote[175].end 2619.19971875
transcript.pyannote[176].speaker SPEAKER_03
transcript.pyannote[176].start 2618.96346875
transcript.pyannote[176].end 2620.09409375
transcript.pyannote[177].speaker SPEAKER_03
transcript.pyannote[177].start 2620.51596875
transcript.pyannote[177].end 2646.14909375
transcript.pyannote[178].speaker SPEAKER_34
transcript.pyannote[178].start 2646.33471875
transcript.pyannote[178].end 2649.43971875
transcript.pyannote[179].speaker SPEAKER_34
transcript.pyannote[179].start 2650.67159375
transcript.pyannote[179].end 2650.68846875
transcript.pyannote[180].speaker SPEAKER_03
transcript.pyannote[180].start 2650.68846875
transcript.pyannote[180].end 2679.86534375
transcript.pyannote[181].speaker SPEAKER_34
transcript.pyannote[181].start 2680.47284375
transcript.pyannote[181].end 2681.73846875
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 2682.31221875
transcript.pyannote[182].end 2682.61596875
transcript.pyannote[183].speaker SPEAKER_34
transcript.pyannote[183].start 2684.25284375
transcript.pyannote[183].end 2685.38346875
transcript.pyannote[184].speaker SPEAKER_34
transcript.pyannote[184].start 2686.29471875
transcript.pyannote[184].end 2688.77534375
transcript.pyannote[185].speaker SPEAKER_34
transcript.pyannote[185].start 2688.92721875
transcript.pyannote[185].end 2699.82846875
transcript.pyannote[186].speaker SPEAKER_34
transcript.pyannote[186].start 2700.36846875
transcript.pyannote[186].end 2700.85784375
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 2702.02221875
transcript.pyannote[187].end 2711.87721875
transcript.pyannote[188].speaker SPEAKER_03
transcript.pyannote[188].start 2712.06284375
transcript.pyannote[188].end 2714.93159375
transcript.pyannote[189].speaker SPEAKER_34
transcript.pyannote[189].start 2715.45471875
transcript.pyannote[189].end 2726.59221875
transcript.pyannote[190].speaker SPEAKER_03
transcript.pyannote[190].start 2726.86221875
transcript.pyannote[190].end 2731.04721875
transcript.pyannote[191].speaker SPEAKER_34
transcript.pyannote[191].start 2731.58721875
transcript.pyannote[191].end 2741.56034375
transcript.pyannote[192].speaker SPEAKER_11
transcript.pyannote[192].start 2742.47159375
transcript.pyannote[192].end 2742.65721875
transcript.pyannote[193].speaker SPEAKER_11
transcript.pyannote[193].start 2742.97784375
transcript.pyannote[193].end 2748.19221875
transcript.pyannote[194].speaker SPEAKER_34
transcript.pyannote[194].start 2743.68659375
transcript.pyannote[194].end 2743.88909375
transcript.pyannote[195].speaker SPEAKER_11
transcript.pyannote[195].start 2748.59721875
transcript.pyannote[195].end 2766.80534375
transcript.pyannote[196].speaker SPEAKER_11
transcript.pyannote[196].start 2766.92346875
transcript.pyannote[196].end 2780.01846875
transcript.pyannote[197].speaker SPEAKER_34
transcript.pyannote[197].start 2770.45034375
transcript.pyannote[197].end 2770.87221875
transcript.pyannote[198].speaker SPEAKER_34
transcript.pyannote[198].start 2773.13346875
transcript.pyannote[198].end 2775.90096875
transcript.pyannote[199].speaker SPEAKER_34
transcript.pyannote[199].start 2777.53784375
transcript.pyannote[199].end 2788.81034375
transcript.pyannote[200].speaker SPEAKER_37
transcript.pyannote[200].start 2790.54846875
transcript.pyannote[200].end 2791.12221875
transcript.pyannote[201].speaker SPEAKER_34
transcript.pyannote[201].start 2791.67909375
transcript.pyannote[201].end 2792.35409375
transcript.pyannote[202].speaker SPEAKER_37
transcript.pyannote[202].start 2792.35409375
transcript.pyannote[202].end 2792.79284375
transcript.pyannote[203].speaker SPEAKER_34
transcript.pyannote[203].start 2792.79284375
transcript.pyannote[203].end 2799.52596875
transcript.pyannote[204].speaker SPEAKER_66
transcript.pyannote[204].start 2799.42471875
transcript.pyannote[204].end 2799.91409375
transcript.pyannote[205].speaker SPEAKER_34
transcript.pyannote[205].start 2799.76221875
transcript.pyannote[205].end 2825.66534375
transcript.pyannote[206].speaker SPEAKER_34
transcript.pyannote[206].start 2826.66096875
transcript.pyannote[206].end 2856.00659375
transcript.pyannote[207].speaker SPEAKER_55
transcript.pyannote[207].start 2856.46221875
transcript.pyannote[207].end 2857.45784375
transcript.pyannote[208].speaker SPEAKER_55
transcript.pyannote[208].start 2857.62659375
transcript.pyannote[208].end 2860.03971875
transcript.pyannote[209].speaker SPEAKER_34
transcript.pyannote[209].start 2859.68534375
transcript.pyannote[209].end 2859.76971875
transcript.pyannote[210].speaker SPEAKER_55
transcript.pyannote[210].start 2860.27596875
transcript.pyannote[210].end 2864.07284375
transcript.pyannote[211].speaker SPEAKER_24
transcript.pyannote[211].start 2875.56471875
transcript.pyannote[211].end 2877.82596875
transcript.pyannote[212].speaker SPEAKER_57
transcript.pyannote[212].start 2878.39971875
transcript.pyannote[212].end 2880.99846875
transcript.pyannote[213].speaker SPEAKER_37
transcript.pyannote[213].start 2884.15409375
transcript.pyannote[213].end 2884.18784375
transcript.pyannote[214].speaker SPEAKER_24
transcript.pyannote[214].start 2884.18784375
transcript.pyannote[214].end 2884.82909375
transcript.pyannote[215].speaker SPEAKER_24
transcript.pyannote[215].start 2885.41971875
transcript.pyannote[215].end 2887.47846875
transcript.pyannote[216].speaker SPEAKER_24
transcript.pyannote[216].start 2887.98471875
transcript.pyannote[216].end 2895.39284375
transcript.pyannote[217].speaker SPEAKER_24
transcript.pyannote[217].start 2895.86534375
transcript.pyannote[217].end 2899.59471875
transcript.pyannote[218].speaker SPEAKER_37
transcript.pyannote[218].start 2899.74659375
transcript.pyannote[218].end 2907.66096875
transcript.pyannote[219].speaker SPEAKER_24
transcript.pyannote[219].start 2907.61034375
transcript.pyannote[219].end 2910.05721875
transcript.pyannote[220].speaker SPEAKER_37
transcript.pyannote[220].start 2908.99409375
transcript.pyannote[220].end 2912.94284375
transcript.pyannote[221].speaker SPEAKER_24
transcript.pyannote[221].start 2912.52096875
transcript.pyannote[221].end 2915.30534375
transcript.pyannote[222].speaker SPEAKER_37
transcript.pyannote[222].start 2915.27159375
transcript.pyannote[222].end 2923.55721875
transcript.pyannote[223].speaker SPEAKER_24
transcript.pyannote[223].start 2922.29159375
transcript.pyannote[223].end 2922.71346875
transcript.pyannote[224].speaker SPEAKER_24
transcript.pyannote[224].start 2923.55721875
transcript.pyannote[224].end 2927.79284375
transcript.pyannote[225].speaker SPEAKER_37
transcript.pyannote[225].start 2927.79284375
transcript.pyannote[225].end 2928.29909375
transcript.pyannote[226].speaker SPEAKER_24
transcript.pyannote[226].start 2928.29909375
transcript.pyannote[226].end 2931.67409375
transcript.pyannote[227].speaker SPEAKER_37
transcript.pyannote[227].start 2928.33284375
transcript.pyannote[227].end 2928.38346875
transcript.pyannote[228].speaker SPEAKER_24
transcript.pyannote[228].start 2932.26471875
transcript.pyannote[228].end 2935.42034375
transcript.pyannote[229].speaker SPEAKER_37
transcript.pyannote[229].start 2935.20096875
transcript.pyannote[229].end 2937.76596875
transcript.pyannote[230].speaker SPEAKER_24
transcript.pyannote[230].start 2936.66909375
transcript.pyannote[230].end 2939.38596875
transcript.pyannote[231].speaker SPEAKER_37
transcript.pyannote[231].start 2939.20034375
transcript.pyannote[231].end 2939.26784375
transcript.pyannote[232].speaker SPEAKER_37
transcript.pyannote[232].start 2939.38596875
transcript.pyannote[232].end 2940.06096875
transcript.pyannote[233].speaker SPEAKER_24
transcript.pyannote[233].start 2940.31409375
transcript.pyannote[233].end 2941.27596875
transcript.pyannote[234].speaker SPEAKER_24
transcript.pyannote[234].start 2942.59221875
transcript.pyannote[234].end 2945.91659375
transcript.pyannote[235].speaker SPEAKER_24
transcript.pyannote[235].start 2946.01784375
transcript.pyannote[235].end 2948.39721875
transcript.pyannote[236].speaker SPEAKER_24
transcript.pyannote[236].start 2949.52784375
transcript.pyannote[236].end 2951.58659375
transcript.pyannote[237].speaker SPEAKER_24
transcript.pyannote[237].start 2952.02534375
transcript.pyannote[237].end 2955.41721875
transcript.pyannote[238].speaker SPEAKER_24
transcript.pyannote[238].start 2955.61971875
transcript.pyannote[238].end 2958.87659375
transcript.pyannote[239].speaker SPEAKER_46
transcript.pyannote[239].start 2959.06221875
transcript.pyannote[239].end 2959.36596875
transcript.pyannote[240].speaker SPEAKER_66
transcript.pyannote[240].start 2959.36596875
transcript.pyannote[240].end 2959.43346875
transcript.pyannote[241].speaker SPEAKER_24
transcript.pyannote[241].start 2959.39971875
transcript.pyannote[241].end 2960.44596875
transcript.pyannote[242].speaker SPEAKER_46
transcript.pyannote[242].start 2959.43346875
transcript.pyannote[242].end 2959.75409375
transcript.pyannote[243].speaker SPEAKER_66
transcript.pyannote[243].start 2960.44596875
transcript.pyannote[243].end 2960.46284375
transcript.pyannote[244].speaker SPEAKER_46
transcript.pyannote[244].start 2960.46284375
transcript.pyannote[244].end 2960.80034375
transcript.pyannote[245].speaker SPEAKER_66
transcript.pyannote[245].start 2960.80034375
transcript.pyannote[245].end 2960.81721875
transcript.pyannote[246].speaker SPEAKER_24
transcript.pyannote[246].start 2960.93534375
transcript.pyannote[246].end 2962.23471875
transcript.pyannote[247].speaker SPEAKER_24
transcript.pyannote[247].start 2962.35284375
transcript.pyannote[247].end 2963.75346875
transcript.pyannote[248].speaker SPEAKER_46
transcript.pyannote[248].start 2963.43284375
transcript.pyannote[248].end 2964.47909375
transcript.pyannote[249].speaker SPEAKER_24
transcript.pyannote[249].start 2965.18784375
transcript.pyannote[249].end 2966.23409375
transcript.pyannote[250].speaker SPEAKER_24
transcript.pyannote[250].start 2967.12846875
transcript.pyannote[250].end 2973.13596875
transcript.pyannote[251].speaker SPEAKER_24
transcript.pyannote[251].start 2973.99659375
transcript.pyannote[251].end 2988.07034375
transcript.pyannote[252].speaker SPEAKER_24
transcript.pyannote[252].start 2988.42471875
transcript.pyannote[252].end 3005.46846875
transcript.pyannote[253].speaker SPEAKER_24
transcript.pyannote[253].start 3005.90721875
transcript.pyannote[253].end 3007.74659375
transcript.pyannote[254].speaker SPEAKER_47
transcript.pyannote[254].start 3007.93221875
transcript.pyannote[254].end 3010.19346875
transcript.pyannote[255].speaker SPEAKER_24
transcript.pyannote[255].start 3009.07971875
transcript.pyannote[255].end 3016.52159375
transcript.pyannote[256].speaker SPEAKER_47
transcript.pyannote[256].start 3016.52159375
transcript.pyannote[256].end 3017.07846875
transcript.pyannote[257].speaker SPEAKER_24
transcript.pyannote[257].start 3017.68596875
transcript.pyannote[257].end 3028.82346875
transcript.pyannote[258].speaker SPEAKER_24
transcript.pyannote[258].start 3029.70096875
transcript.pyannote[258].end 3031.03409375
transcript.pyannote[259].speaker SPEAKER_24
transcript.pyannote[259].start 3032.16471875
transcript.pyannote[259].end 3039.42096875
transcript.pyannote[260].speaker SPEAKER_24
transcript.pyannote[260].start 3039.45471875
transcript.pyannote[260].end 3044.12909375
transcript.pyannote[261].speaker SPEAKER_24
transcript.pyannote[261].start 3045.00659375
transcript.pyannote[261].end 3050.38971875
transcript.pyannote[262].speaker SPEAKER_47
transcript.pyannote[262].start 3050.60909375
transcript.pyannote[262].end 3091.02471875
transcript.pyannote[263].speaker SPEAKER_24
transcript.pyannote[263].start 3090.72096875
transcript.pyannote[263].end 3095.44596875
transcript.pyannote[264].speaker SPEAKER_47
transcript.pyannote[264].start 3092.27346875
transcript.pyannote[264].end 3092.56034375
transcript.pyannote[265].speaker SPEAKER_24
transcript.pyannote[265].start 3095.53034375
transcript.pyannote[265].end 3100.01909375
transcript.pyannote[266].speaker SPEAKER_24
transcript.pyannote[266].start 3100.37346875
transcript.pyannote[266].end 3104.89596875
transcript.pyannote[267].speaker SPEAKER_33
transcript.pyannote[267].start 3105.09846875
transcript.pyannote[267].end 3105.52034375
transcript.pyannote[268].speaker SPEAKER_24
transcript.pyannote[268].start 3105.58784375
transcript.pyannote[268].end 3107.20784375
transcript.pyannote[269].speaker SPEAKER_24
transcript.pyannote[269].start 3107.96721875
transcript.pyannote[269].end 3113.67096875
transcript.pyannote[270].speaker SPEAKER_24
transcript.pyannote[270].start 3113.92409375
transcript.pyannote[270].end 3118.76721875
transcript.pyannote[271].speaker SPEAKER_24
transcript.pyannote[271].start 3119.49284375
transcript.pyannote[271].end 3126.96846875
transcript.pyannote[272].speaker SPEAKER_24
transcript.pyannote[272].start 3127.93034375
transcript.pyannote[272].end 3128.60534375
transcript.pyannote[273].speaker SPEAKER_47
transcript.pyannote[273].start 3130.00596875
transcript.pyannote[273].end 3142.93221875
transcript.pyannote[274].speaker SPEAKER_24
transcript.pyannote[274].start 3143.13471875
transcript.pyannote[274].end 3147.33659375
transcript.pyannote[275].speaker SPEAKER_47
transcript.pyannote[275].start 3147.74159375
transcript.pyannote[275].end 3157.74846875
transcript.pyannote[276].speaker SPEAKER_47
transcript.pyannote[276].start 3158.11971875
transcript.pyannote[276].end 3158.54159375
transcript.pyannote[277].speaker SPEAKER_24
transcript.pyannote[277].start 3158.54159375
transcript.pyannote[277].end 3158.57534375
transcript.pyannote[278].speaker SPEAKER_24
transcript.pyannote[278].start 3159.18284375
transcript.pyannote[278].end 3162.49034375
transcript.pyannote[279].speaker SPEAKER_47
transcript.pyannote[279].start 3162.49034375
transcript.pyannote[279].end 3162.54096875
transcript.pyannote[280].speaker SPEAKER_24
transcript.pyannote[280].start 3162.54096875
transcript.pyannote[280].end 3162.60846875
transcript.pyannote[281].speaker SPEAKER_47
transcript.pyannote[281].start 3162.60846875
transcript.pyannote[281].end 3162.62534375
transcript.pyannote[282].speaker SPEAKER_24
transcript.pyannote[282].start 3162.62534375
transcript.pyannote[282].end 3172.51409375
transcript.pyannote[283].speaker SPEAKER_47
transcript.pyannote[283].start 3162.84471875
transcript.pyannote[283].end 3163.30034375
transcript.pyannote[284].speaker SPEAKER_47
transcript.pyannote[284].start 3172.85159375
transcript.pyannote[284].end 3175.01159375
transcript.pyannote[285].speaker SPEAKER_24
transcript.pyannote[285].start 3174.45471875
transcript.pyannote[285].end 3179.65221875
transcript.pyannote[286].speaker SPEAKER_24
transcript.pyannote[286].start 3180.12471875
transcript.pyannote[286].end 3184.32659375
transcript.pyannote[287].speaker SPEAKER_47
transcript.pyannote[287].start 3184.76534375
transcript.pyannote[287].end 3195.83534375
transcript.pyannote[288].speaker SPEAKER_24
transcript.pyannote[288].start 3193.37159375
transcript.pyannote[288].end 3193.70909375
transcript.pyannote[289].speaker SPEAKER_24
transcript.pyannote[289].start 3194.50221875
transcript.pyannote[289].end 3204.34034375
transcript.pyannote[290].speaker SPEAKER_47
transcript.pyannote[290].start 3204.34034375
transcript.pyannote[290].end 3206.87159375
transcript.pyannote[291].speaker SPEAKER_24
transcript.pyannote[291].start 3206.28096875
transcript.pyannote[291].end 3206.82096875
transcript.pyannote[292].speaker SPEAKER_47
transcript.pyannote[292].start 3206.98971875
transcript.pyannote[292].end 3207.37784375
transcript.pyannote[293].speaker SPEAKER_55
transcript.pyannote[293].start 3208.40721875
transcript.pyannote[293].end 3209.95971875
transcript.pyannote[294].speaker SPEAKER_55
transcript.pyannote[294].start 3211.29284375
transcript.pyannote[294].end 3213.55409375
transcript.pyannote[295].speaker SPEAKER_06
transcript.pyannote[295].start 3220.91159375
transcript.pyannote[295].end 3225.70409375
transcript.pyannote[296].speaker SPEAKER_59
transcript.pyannote[296].start 3225.70409375
transcript.pyannote[296].end 3225.92346875
transcript.pyannote[297].speaker SPEAKER_06
transcript.pyannote[297].start 3225.92346875
transcript.pyannote[297].end 3226.27784375
transcript.pyannote[298].speaker SPEAKER_57
transcript.pyannote[298].start 3231.52596875
transcript.pyannote[298].end 3232.53846875
transcript.pyannote[299].speaker SPEAKER_47
transcript.pyannote[299].start 3233.90534375
transcript.pyannote[299].end 3234.41159375
transcript.pyannote[300].speaker SPEAKER_06
transcript.pyannote[300].start 3235.33971875
transcript.pyannote[300].end 3242.07284375
transcript.pyannote[301].speaker SPEAKER_47
transcript.pyannote[301].start 3238.83284375
transcript.pyannote[301].end 3238.86659375
transcript.pyannote[302].speaker SPEAKER_06
transcript.pyannote[302].start 3242.42721875
transcript.pyannote[302].end 3242.62971875
transcript.pyannote[303].speaker SPEAKER_06
transcript.pyannote[303].start 3242.78159375
transcript.pyannote[303].end 3245.98784375
transcript.pyannote[304].speaker SPEAKER_06
transcript.pyannote[304].start 3246.37596875
transcript.pyannote[304].end 3248.08034375
transcript.pyannote[305].speaker SPEAKER_06
transcript.pyannote[305].start 3248.50221875
transcript.pyannote[305].end 3249.91971875
transcript.pyannote[306].speaker SPEAKER_06
transcript.pyannote[306].start 3250.27409375
transcript.pyannote[306].end 3251.10096875
transcript.pyannote[307].speaker SPEAKER_06
transcript.pyannote[307].start 3251.91096875
transcript.pyannote[307].end 3256.12971875
transcript.pyannote[308].speaker SPEAKER_06
transcript.pyannote[308].start 3256.60221875
transcript.pyannote[308].end 3258.20534375
transcript.pyannote[309].speaker SPEAKER_06
transcript.pyannote[309].start 3259.08284375
transcript.pyannote[309].end 3259.57221875
transcript.pyannote[310].speaker SPEAKER_06
transcript.pyannote[310].start 3260.31471875
transcript.pyannote[310].end 3262.72784375
transcript.pyannote[311].speaker SPEAKER_06
transcript.pyannote[311].start 3263.18346875
transcript.pyannote[311].end 3264.09471875
transcript.pyannote[312].speaker SPEAKER_06
transcript.pyannote[312].start 3264.46596875
transcript.pyannote[312].end 3267.25034375
transcript.pyannote[313].speaker SPEAKER_06
transcript.pyannote[313].start 3267.65534375
transcript.pyannote[313].end 3269.61284375
transcript.pyannote[314].speaker SPEAKER_06
transcript.pyannote[314].start 3270.20346875
transcript.pyannote[314].end 3271.33409375
transcript.pyannote[315].speaker SPEAKER_06
transcript.pyannote[315].start 3272.00909375
transcript.pyannote[315].end 3275.24909375
transcript.pyannote[316].speaker SPEAKER_06
transcript.pyannote[316].start 3275.60346875
transcript.pyannote[316].end 3278.87721875
transcript.pyannote[317].speaker SPEAKER_06
transcript.pyannote[317].start 3280.21034375
transcript.pyannote[317].end 3281.35784375
transcript.pyannote[318].speaker SPEAKER_06
transcript.pyannote[318].start 3282.26909375
transcript.pyannote[318].end 3287.38221875
transcript.pyannote[319].speaker SPEAKER_06
transcript.pyannote[319].start 3288.10784375
transcript.pyannote[319].end 3288.51284375
transcript.pyannote[320].speaker SPEAKER_06
transcript.pyannote[320].start 3289.05284375
transcript.pyannote[320].end 3293.25471875
transcript.pyannote[321].speaker SPEAKER_06
transcript.pyannote[321].start 3293.55846875
transcript.pyannote[321].end 3294.08159375
transcript.pyannote[322].speaker SPEAKER_06
transcript.pyannote[322].start 3294.41909375
transcript.pyannote[322].end 3295.48221875
transcript.pyannote[323].speaker SPEAKER_06
transcript.pyannote[323].start 3296.14034375
transcript.pyannote[323].end 3302.43471875
transcript.pyannote[324].speaker SPEAKER_06
transcript.pyannote[324].start 3302.82284375
transcript.pyannote[324].end 3305.75909375
transcript.pyannote[325].speaker SPEAKER_06
transcript.pyannote[325].start 3306.50159375
transcript.pyannote[325].end 3308.13846875
transcript.pyannote[326].speaker SPEAKER_06
transcript.pyannote[326].start 3308.47596875
transcript.pyannote[326].end 3308.72909375
transcript.pyannote[327].speaker SPEAKER_06
transcript.pyannote[327].start 3309.16784375
transcript.pyannote[327].end 3309.74159375
transcript.pyannote[328].speaker SPEAKER_06
transcript.pyannote[328].start 3309.91034375
transcript.pyannote[328].end 3311.80034375
transcript.pyannote[329].speaker SPEAKER_06
transcript.pyannote[329].start 3312.34034375
transcript.pyannote[329].end 3316.23846875
transcript.pyannote[330].speaker SPEAKER_47
transcript.pyannote[330].start 3316.81221875
transcript.pyannote[330].end 3319.84971875
transcript.pyannote[331].speaker SPEAKER_47
transcript.pyannote[331].start 3320.03534375
transcript.pyannote[331].end 3337.65284375
transcript.pyannote[332].speaker SPEAKER_47
transcript.pyannote[332].start 3337.87221875
transcript.pyannote[332].end 3370.84596875
transcript.pyannote[333].speaker SPEAKER_06
transcript.pyannote[333].start 3369.09096875
transcript.pyannote[333].end 3379.95846875
transcript.pyannote[334].speaker SPEAKER_66
transcript.pyannote[334].start 3375.92534375
transcript.pyannote[334].end 3375.94221875
transcript.pyannote[335].speaker SPEAKER_47
transcript.pyannote[335].start 3375.94221875
transcript.pyannote[335].end 3376.97159375
transcript.pyannote[336].speaker SPEAKER_66
transcript.pyannote[336].start 3376.97159375
transcript.pyannote[336].end 3377.03909375
transcript.pyannote[337].speaker SPEAKER_47
transcript.pyannote[337].start 3377.03909375
transcript.pyannote[337].end 3377.54534375
transcript.pyannote[338].speaker SPEAKER_66
transcript.pyannote[338].start 3377.54534375
transcript.pyannote[338].end 3377.95034375
transcript.pyannote[339].speaker SPEAKER_47
transcript.pyannote[339].start 3377.95034375
transcript.pyannote[339].end 3377.96721875
transcript.pyannote[340].speaker SPEAKER_66
transcript.pyannote[340].start 3377.96721875
transcript.pyannote[340].end 3378.03471875
transcript.pyannote[341].speaker SPEAKER_47
transcript.pyannote[341].start 3378.03471875
transcript.pyannote[341].end 3378.81096875
transcript.pyannote[342].speaker SPEAKER_06
transcript.pyannote[342].start 3380.58284375
transcript.pyannote[342].end 3385.99971875
transcript.pyannote[343].speaker SPEAKER_47
transcript.pyannote[343].start 3386.55659375
transcript.pyannote[343].end 3392.88471875
transcript.pyannote[344].speaker SPEAKER_06
transcript.pyannote[344].start 3389.71221875
transcript.pyannote[344].end 3390.96096875
transcript.pyannote[345].speaker SPEAKER_06
transcript.pyannote[345].start 3391.45034375
transcript.pyannote[345].end 3394.94346875
transcript.pyannote[346].speaker SPEAKER_47
transcript.pyannote[346].start 3395.02784375
transcript.pyannote[346].end 3401.22096875
transcript.pyannote[347].speaker SPEAKER_06
transcript.pyannote[347].start 3400.69784375
transcript.pyannote[347].end 3403.38096875
transcript.pyannote[348].speaker SPEAKER_47
transcript.pyannote[348].start 3402.63846875
transcript.pyannote[348].end 3403.31346875
transcript.pyannote[349].speaker SPEAKER_47
transcript.pyannote[349].start 3403.48221875
transcript.pyannote[349].end 3405.49034375
transcript.pyannote[350].speaker SPEAKER_06
transcript.pyannote[350].start 3403.73534375
transcript.pyannote[350].end 3403.90409375
transcript.pyannote[351].speaker SPEAKER_06
transcript.pyannote[351].start 3404.68034375
transcript.pyannote[351].end 3411.81846875
transcript.pyannote[352].speaker SPEAKER_47
transcript.pyannote[352].start 3411.81846875
transcript.pyannote[352].end 3427.95096875
transcript.pyannote[353].speaker SPEAKER_44
transcript.pyannote[353].start 3421.87596875
transcript.pyannote[353].end 3421.97721875
transcript.pyannote[354].speaker SPEAKER_06
transcript.pyannote[354].start 3423.07409375
transcript.pyannote[354].end 3423.34409375
transcript.pyannote[355].speaker SPEAKER_52
transcript.pyannote[355].start 3423.34409375
transcript.pyannote[355].end 3423.37784375
transcript.pyannote[356].speaker SPEAKER_06
transcript.pyannote[356].start 3426.56721875
transcript.pyannote[356].end 3435.37596875
transcript.pyannote[357].speaker SPEAKER_47
transcript.pyannote[357].start 3429.73971875
transcript.pyannote[357].end 3430.75221875
transcript.pyannote[358].speaker SPEAKER_47
transcript.pyannote[358].start 3435.47721875
transcript.pyannote[358].end 3438.37971875
transcript.pyannote[359].speaker SPEAKER_06
transcript.pyannote[359].start 3435.71346875
transcript.pyannote[359].end 3436.18596875
transcript.pyannote[360].speaker SPEAKER_06
transcript.pyannote[360].start 3436.35471875
transcript.pyannote[360].end 3439.02096875
transcript.pyannote[361].speaker SPEAKER_47
transcript.pyannote[361].start 3439.00409375
transcript.pyannote[361].end 3439.59471875
transcript.pyannote[362].speaker SPEAKER_06
transcript.pyannote[362].start 3439.03784375
transcript.pyannote[362].end 3440.40471875
transcript.pyannote[363].speaker SPEAKER_47
transcript.pyannote[363].start 3439.78034375
transcript.pyannote[363].end 3440.96159375
transcript.pyannote[364].speaker SPEAKER_06
transcript.pyannote[364].start 3440.74221875
transcript.pyannote[364].end 3441.67034375
transcript.pyannote[365].speaker SPEAKER_47
transcript.pyannote[365].start 3441.60284375
transcript.pyannote[365].end 3442.10909375
transcript.pyannote[366].speaker SPEAKER_06
transcript.pyannote[366].start 3442.68284375
transcript.pyannote[366].end 3446.95221875
transcript.pyannote[367].speaker SPEAKER_57
transcript.pyannote[367].start 3446.14221875
transcript.pyannote[367].end 3447.18846875
transcript.pyannote[368].speaker SPEAKER_06
transcript.pyannote[368].start 3457.29659375
transcript.pyannote[368].end 3459.03471875
transcript.pyannote[369].speaker SPEAKER_06
transcript.pyannote[369].start 3459.32159375
transcript.pyannote[369].end 3477.74909375
transcript.pyannote[370].speaker SPEAKER_06
transcript.pyannote[370].start 3477.86721875
transcript.pyannote[370].end 3487.77284375
transcript.pyannote[371].speaker SPEAKER_06
transcript.pyannote[371].start 3487.97534375
transcript.pyannote[371].end 3513.03471875
transcript.pyannote[372].speaker SPEAKER_06
transcript.pyannote[372].start 3513.35534375
transcript.pyannote[372].end 3514.01346875
transcript.pyannote[373].speaker SPEAKER_06
transcript.pyannote[373].start 3514.23284375
transcript.pyannote[373].end 3514.78971875
transcript.pyannote[374].speaker SPEAKER_06
transcript.pyannote[374].start 3515.00909375
transcript.pyannote[374].end 3529.67346875
transcript.pyannote[375].speaker SPEAKER_06
transcript.pyannote[375].start 3529.82534375
transcript.pyannote[375].end 3531.90096875
transcript.pyannote[376].speaker SPEAKER_06
transcript.pyannote[376].start 3532.10346875
transcript.pyannote[376].end 3533.06534375
transcript.pyannote[377].speaker SPEAKER_25
transcript.pyannote[377].start 3533.50409375
transcript.pyannote[377].end 3557.29784375
transcript.pyannote[378].speaker SPEAKER_06
transcript.pyannote[378].start 3538.07721875
transcript.pyannote[378].end 3538.53284375
transcript.pyannote[379].speaker SPEAKER_06
transcript.pyannote[379].start 3553.43346875
transcript.pyannote[379].end 3555.12096875
transcript.pyannote[380].speaker SPEAKER_06
transcript.pyannote[380].start 3555.98159375
transcript.pyannote[380].end 3572.80596875
transcript.pyannote[381].speaker SPEAKER_25
transcript.pyannote[381].start 3559.39034375
transcript.pyannote[381].end 3561.04409375
transcript.pyannote[382].speaker SPEAKER_06
transcript.pyannote[382].start 3574.12221875
transcript.pyannote[382].end 3574.49346875
transcript.pyannote[383].speaker SPEAKER_06
transcript.pyannote[383].start 3575.20221875
transcript.pyannote[383].end 3593.86596875
transcript.pyannote[384].speaker SPEAKER_06
transcript.pyannote[384].start 3594.20346875
transcript.pyannote[384].end 3594.76034375
transcript.pyannote[385].speaker SPEAKER_25
transcript.pyannote[385].start 3595.38471875
transcript.pyannote[385].end 3601.03784375
transcript.pyannote[386].speaker SPEAKER_06
transcript.pyannote[386].start 3595.68846875
transcript.pyannote[386].end 3596.46471875
transcript.pyannote[387].speaker SPEAKER_55
transcript.pyannote[387].start 3599.40096875
transcript.pyannote[387].end 3603.31596875
transcript.pyannote[388].speaker SPEAKER_06
transcript.pyannote[388].start 3601.03784375
transcript.pyannote[388].end 3601.98284375
transcript.pyannote[389].speaker SPEAKER_06
transcript.pyannote[389].start 3602.74221875
transcript.pyannote[389].end 3603.24846875
transcript.pyannote[390].speaker SPEAKER_06
transcript.pyannote[390].start 3603.31596875
transcript.pyannote[390].end 3603.33284375
transcript.pyannote[391].speaker SPEAKER_06
transcript.pyannote[391].start 3603.88971875
transcript.pyannote[391].end 3606.16784375
transcript.pyannote[392].speaker SPEAKER_06
transcript.pyannote[392].start 3606.60659375
transcript.pyannote[392].end 3606.94409375
transcript.pyannote[393].speaker SPEAKER_06
transcript.pyannote[393].start 3607.90596875
transcript.pyannote[393].end 3611.39909375
transcript.pyannote[394].speaker SPEAKER_25
transcript.pyannote[394].start 3610.85909375
transcript.pyannote[394].end 3619.07721875
transcript.pyannote[395].speaker SPEAKER_06
transcript.pyannote[395].start 3612.90096875
transcript.pyannote[395].end 3615.02721875
transcript.pyannote[396].speaker SPEAKER_55
transcript.pyannote[396].start 3615.02721875
transcript.pyannote[396].end 3615.39846875
transcript.pyannote[397].speaker SPEAKER_06
transcript.pyannote[397].start 3615.39846875
transcript.pyannote[397].end 3615.68534375
transcript.pyannote[398].speaker SPEAKER_55
transcript.pyannote[398].start 3615.68534375
transcript.pyannote[398].end 3615.82034375
transcript.pyannote[399].speaker SPEAKER_06
transcript.pyannote[399].start 3615.82034375
transcript.pyannote[399].end 3615.85409375
transcript.pyannote[400].speaker SPEAKER_55
transcript.pyannote[400].start 3615.85409375
transcript.pyannote[400].end 3616.96784375
transcript.pyannote[401].speaker SPEAKER_66
transcript.pyannote[401].start 3616.96784375
transcript.pyannote[401].end 3617.76096875
transcript.pyannote[402].speaker SPEAKER_55
transcript.pyannote[402].start 3619.33034375
transcript.pyannote[402].end 3625.75971875
transcript.pyannote[403].speaker SPEAKER_04
transcript.pyannote[403].start 3633.69096875
transcript.pyannote[403].end 3637.20096875
transcript.pyannote[404].speaker SPEAKER_55
transcript.pyannote[404].start 3637.90971875
transcript.pyannote[404].end 3638.77034375
transcript.pyannote[405].speaker SPEAKER_04
transcript.pyannote[405].start 3644.52471875
transcript.pyannote[405].end 3652.82721875
transcript.pyannote[406].speaker SPEAKER_66
transcript.pyannote[406].start 3644.69346875
transcript.pyannote[406].end 3645.26721875
transcript.pyannote[407].speaker SPEAKER_37
transcript.pyannote[407].start 3653.38409375
transcript.pyannote[407].end 3657.19784375
transcript.pyannote[408].speaker SPEAKER_04
transcript.pyannote[408].start 3655.66221875
transcript.pyannote[408].end 3657.16409375
transcript.pyannote[409].speaker SPEAKER_20
transcript.pyannote[409].start 3657.16409375
transcript.pyannote[409].end 3657.18096875
transcript.pyannote[410].speaker SPEAKER_20
transcript.pyannote[410].start 3657.19784375
transcript.pyannote[410].end 3657.24846875
transcript.pyannote[411].speaker SPEAKER_66
transcript.pyannote[411].start 3657.24846875
transcript.pyannote[411].end 3657.28221875
transcript.pyannote[412].speaker SPEAKER_04
transcript.pyannote[412].start 3657.28221875
transcript.pyannote[412].end 3657.33284375
transcript.pyannote[413].speaker SPEAKER_59
transcript.pyannote[413].start 3657.72096875
transcript.pyannote[413].end 3658.80096875
transcript.pyannote[414].speaker SPEAKER_47
transcript.pyannote[414].start 3665.23034375
transcript.pyannote[414].end 3666.17534375
transcript.pyannote[415].speaker SPEAKER_04
transcript.pyannote[415].start 3665.87159375
transcript.pyannote[415].end 3673.80284375
transcript.pyannote[416].speaker SPEAKER_47
transcript.pyannote[416].start 3674.22471875
transcript.pyannote[416].end 3710.18534375
transcript.pyannote[417].speaker SPEAKER_52
transcript.pyannote[417].start 3700.88721875
transcript.pyannote[417].end 3700.90409375
transcript.pyannote[418].speaker SPEAKER_66
transcript.pyannote[418].start 3700.90409375
transcript.pyannote[418].end 3701.03909375
transcript.pyannote[419].speaker SPEAKER_04
transcript.pyannote[419].start 3701.03909375
transcript.pyannote[419].end 3701.73096875
transcript.pyannote[420].speaker SPEAKER_04
transcript.pyannote[420].start 3706.89471875
transcript.pyannote[420].end 3714.69096875
transcript.pyannote[421].speaker SPEAKER_04
transcript.pyannote[421].start 3715.11284375
transcript.pyannote[421].end 3776.92596875
transcript.pyannote[422].speaker SPEAKER_66
transcript.pyannote[422].start 3715.14659375
transcript.pyannote[422].end 3715.78784375
transcript.pyannote[423].speaker SPEAKER_66
transcript.pyannote[423].start 3716.22659375
transcript.pyannote[423].end 3716.76659375
transcript.pyannote[424].speaker SPEAKER_52
transcript.pyannote[424].start 3716.76659375
transcript.pyannote[424].end 3716.78346875
transcript.pyannote[425].speaker SPEAKER_52
transcript.pyannote[425].start 3720.15846875
transcript.pyannote[425].end 3720.44534375
transcript.pyannote[426].speaker SPEAKER_52
transcript.pyannote[426].start 3726.13221875
transcript.pyannote[426].end 3726.43596875
transcript.pyannote[427].speaker SPEAKER_52
transcript.pyannote[427].start 3730.82346875
transcript.pyannote[427].end 3731.05971875
transcript.pyannote[428].speaker SPEAKER_09
transcript.pyannote[428].start 3742.72034375
transcript.pyannote[428].end 3743.07471875
transcript.pyannote[429].speaker SPEAKER_04
transcript.pyannote[429].start 3777.55034375
transcript.pyannote[429].end 3779.06909375
transcript.pyannote[430].speaker SPEAKER_04
transcript.pyannote[430].start 3779.89596875
transcript.pyannote[430].end 3781.90409375
transcript.pyannote[431].speaker SPEAKER_47
transcript.pyannote[431].start 3782.88284375
transcript.pyannote[431].end 3786.79784375
transcript.pyannote[432].speaker SPEAKER_04
transcript.pyannote[432].start 3785.88659375
transcript.pyannote[432].end 3788.24909375
transcript.pyannote[433].speaker SPEAKER_04
transcript.pyannote[433].start 3788.67096875
transcript.pyannote[433].end 3791.08409375
transcript.pyannote[434].speaker SPEAKER_47
transcript.pyannote[434].start 3788.68784375
transcript.pyannote[434].end 3789.16034375
transcript.pyannote[435].speaker SPEAKER_04
transcript.pyannote[435].start 3791.43846875
transcript.pyannote[435].end 3807.09846875
transcript.pyannote[436].speaker SPEAKER_04
transcript.pyannote[436].start 3807.62159375
transcript.pyannote[436].end 3819.90659375
transcript.pyannote[437].speaker SPEAKER_04
transcript.pyannote[437].start 3820.24409375
transcript.pyannote[437].end 3839.09346875
transcript.pyannote[438].speaker SPEAKER_04
transcript.pyannote[438].start 3839.65034375
transcript.pyannote[438].end 3840.32534375
transcript.pyannote[439].speaker SPEAKER_04
transcript.pyannote[439].start 3841.18596875
transcript.pyannote[439].end 3842.28284375
transcript.pyannote[440].speaker SPEAKER_04
transcript.pyannote[440].start 3842.82284375
transcript.pyannote[440].end 3845.65784375
transcript.pyannote[441].speaker SPEAKER_04
transcript.pyannote[441].start 3846.33284375
transcript.pyannote[441].end 3846.77159375
transcript.pyannote[442].speaker SPEAKER_04
transcript.pyannote[442].start 3847.83471875
transcript.pyannote[442].end 3848.44221875
transcript.pyannote[443].speaker SPEAKER_04
transcript.pyannote[443].start 3849.03284375
transcript.pyannote[443].end 3849.04971875
transcript.pyannote[444].speaker SPEAKER_47
transcript.pyannote[444].start 3849.04971875
transcript.pyannote[444].end 3849.35346875
transcript.pyannote[445].speaker SPEAKER_47
transcript.pyannote[445].start 3849.45471875
transcript.pyannote[445].end 3875.37471875
transcript.pyannote[446].speaker SPEAKER_04
transcript.pyannote[446].start 3875.64471875
transcript.pyannote[446].end 3890.69721875
transcript.pyannote[447].speaker SPEAKER_47
transcript.pyannote[447].start 3888.48659375
transcript.pyannote[447].end 3889.02659375
transcript.pyannote[448].speaker SPEAKER_47
transcript.pyannote[448].start 3890.69721875
transcript.pyannote[448].end 3904.07909375
transcript.pyannote[449].speaker SPEAKER_04
transcript.pyannote[449].start 3900.80534375
transcript.pyannote[449].end 3906.81284375
transcript.pyannote[450].speaker SPEAKER_04
transcript.pyannote[450].start 3907.03221875
transcript.pyannote[450].end 3910.20471875
transcript.pyannote[451].speaker SPEAKER_47
transcript.pyannote[451].start 3907.25159375
transcript.pyannote[451].end 3907.47096875
transcript.pyannote[452].speaker SPEAKER_47
transcript.pyannote[452].start 3908.36534375
transcript.pyannote[452].end 3926.45534375
transcript.pyannote[453].speaker SPEAKER_47
transcript.pyannote[453].start 3926.59034375
transcript.pyannote[453].end 3928.09221875
transcript.pyannote[454].speaker SPEAKER_47
transcript.pyannote[454].start 3928.21034375
transcript.pyannote[454].end 3944.32596875
transcript.pyannote[455].speaker SPEAKER_04
transcript.pyannote[455].start 3930.35346875
transcript.pyannote[455].end 3931.23096875
transcript.pyannote[456].speaker SPEAKER_04
transcript.pyannote[456].start 3931.34909375
transcript.pyannote[456].end 3932.54721875
transcript.pyannote[457].speaker SPEAKER_04
transcript.pyannote[457].start 3932.58096875
transcript.pyannote[457].end 3933.59346875
transcript.pyannote[458].speaker SPEAKER_04
transcript.pyannote[458].start 3937.84596875
transcript.pyannote[458].end 3938.33534375
transcript.pyannote[459].speaker SPEAKER_04
transcript.pyannote[459].start 3941.54159375
transcript.pyannote[459].end 3941.94659375
transcript.pyannote[460].speaker SPEAKER_04
transcript.pyannote[460].start 3943.36409375
transcript.pyannote[460].end 3943.97159375
transcript.pyannote[461].speaker SPEAKER_04
transcript.pyannote[461].start 3944.32596875
transcript.pyannote[461].end 3944.96721875
transcript.pyannote[462].speaker SPEAKER_47
transcript.pyannote[462].start 3944.96721875
transcript.pyannote[462].end 3945.03471875
transcript.pyannote[463].speaker SPEAKER_04
transcript.pyannote[463].start 3945.03471875
transcript.pyannote[463].end 3945.70971875
transcript.pyannote[464].speaker SPEAKER_47
transcript.pyannote[464].start 3945.70971875
transcript.pyannote[464].end 3946.48596875
transcript.pyannote[465].speaker SPEAKER_04
transcript.pyannote[465].start 3945.81096875
transcript.pyannote[465].end 3946.46909375
transcript.pyannote[466].speaker SPEAKER_04
transcript.pyannote[466].start 3946.48596875
transcript.pyannote[466].end 3946.97534375
transcript.pyannote[467].speaker SPEAKER_47
transcript.pyannote[467].start 3946.97534375
transcript.pyannote[467].end 3947.02596875
transcript.pyannote[468].speaker SPEAKER_04
transcript.pyannote[468].start 3947.02596875
transcript.pyannote[468].end 3947.04284375
transcript.pyannote[469].speaker SPEAKER_47
transcript.pyannote[469].start 3947.04284375
transcript.pyannote[469].end 3949.91159375
transcript.pyannote[470].speaker SPEAKER_04
transcript.pyannote[470].start 3948.54471875
transcript.pyannote[470].end 3958.26471875
transcript.pyannote[471].speaker SPEAKER_47
transcript.pyannote[471].start 3957.96096875
transcript.pyannote[471].end 3963.46221875
transcript.pyannote[472].speaker SPEAKER_04
transcript.pyannote[472].start 3960.08721875
transcript.pyannote[472].end 3963.71534375
transcript.pyannote[473].speaker SPEAKER_47
transcript.pyannote[473].start 3963.71534375
transcript.pyannote[473].end 3969.13221875
transcript.pyannote[474].speaker SPEAKER_04
transcript.pyannote[474].start 3965.52096875
transcript.pyannote[474].end 3996.58784375
transcript.pyannote[475].speaker SPEAKER_44
transcript.pyannote[475].start 3976.70909375
transcript.pyannote[475].end 3977.02971875
transcript.pyannote[476].speaker SPEAKER_47
transcript.pyannote[476].start 3977.02971875
transcript.pyannote[476].end 3978.59909375
transcript.pyannote[477].speaker SPEAKER_44
transcript.pyannote[477].start 3978.59909375
transcript.pyannote[477].end 3978.61596875
transcript.pyannote[478].speaker SPEAKER_66
transcript.pyannote[478].start 3979.62846875
transcript.pyannote[478].end 3979.66221875
transcript.pyannote[479].speaker SPEAKER_47
transcript.pyannote[479].start 3979.66221875
transcript.pyannote[479].end 3980.79284375
transcript.pyannote[480].speaker SPEAKER_66
transcript.pyannote[480].start 3983.22284375
transcript.pyannote[480].end 3983.32409375
transcript.pyannote[481].speaker SPEAKER_66
transcript.pyannote[481].start 3983.49284375
transcript.pyannote[481].end 3983.57721875
transcript.pyannote[482].speaker SPEAKER_47
transcript.pyannote[482].start 3983.57721875
transcript.pyannote[482].end 3983.62784375
transcript.pyannote[483].speaker SPEAKER_66
transcript.pyannote[483].start 3983.62784375
transcript.pyannote[483].end 3983.96534375
transcript.pyannote[484].speaker SPEAKER_47
transcript.pyannote[484].start 3983.96534375
transcript.pyannote[484].end 3984.38721875
transcript.pyannote[485].speaker SPEAKER_52
transcript.pyannote[485].start 3984.38721875
transcript.pyannote[485].end 3984.45471875
transcript.pyannote[486].speaker SPEAKER_55
transcript.pyannote[486].start 3991.32284375
transcript.pyannote[486].end 3992.01471875
transcript.pyannote[487].speaker SPEAKER_55
transcript.pyannote[487].start 3994.36034375
transcript.pyannote[487].end 3997.73534375
transcript.pyannote[488].speaker SPEAKER_55
transcript.pyannote[488].start 3999.57471875
transcript.pyannote[488].end 4000.21596875
transcript.pyannote[489].speaker SPEAKER_55
transcript.pyannote[489].start 4000.65471875
transcript.pyannote[489].end 4002.78096875
transcript.pyannote[490].speaker SPEAKER_19
transcript.pyannote[490].start 4015.35284375
transcript.pyannote[490].end 4017.63096875
transcript.pyannote[491].speaker SPEAKER_19
transcript.pyannote[491].start 4017.90096875
transcript.pyannote[491].end 4025.07284375
transcript.pyannote[492].speaker SPEAKER_59
transcript.pyannote[492].start 4022.27159375
transcript.pyannote[492].end 4025.03909375
transcript.pyannote[493].speaker SPEAKER_19
transcript.pyannote[493].start 4026.45659375
transcript.pyannote[493].end 4028.22846875
transcript.pyannote[494].speaker SPEAKER_59
transcript.pyannote[494].start 4026.62534375
transcript.pyannote[494].end 4026.77721875
transcript.pyannote[495].speaker SPEAKER_59
transcript.pyannote[495].start 4027.94159375
transcript.pyannote[495].end 4032.80159375
transcript.pyannote[496].speaker SPEAKER_19
transcript.pyannote[496].start 4029.54471875
transcript.pyannote[496].end 4035.34971875
transcript.pyannote[497].speaker SPEAKER_59
transcript.pyannote[497].start 4033.27409375
transcript.pyannote[497].end 4033.81409375
transcript.pyannote[498].speaker SPEAKER_57
transcript.pyannote[498].start 4033.81409375
transcript.pyannote[498].end 4034.18534375
transcript.pyannote[499].speaker SPEAKER_59
transcript.pyannote[499].start 4034.18534375
transcript.pyannote[499].end 4034.20221875
transcript.pyannote[500].speaker SPEAKER_19
transcript.pyannote[500].start 4035.50159375
transcript.pyannote[500].end 4035.51846875
transcript.pyannote[501].speaker SPEAKER_57
transcript.pyannote[501].start 4035.51846875
transcript.pyannote[501].end 4035.70409375
transcript.pyannote[502].speaker SPEAKER_19
transcript.pyannote[502].start 4035.70409375
transcript.pyannote[502].end 4035.72096875
transcript.pyannote[503].speaker SPEAKER_57
transcript.pyannote[503].start 4035.72096875
transcript.pyannote[503].end 4035.73784375
transcript.pyannote[504].speaker SPEAKER_19
transcript.pyannote[504].start 4040.24346875
transcript.pyannote[504].end 4044.29346875
transcript.pyannote[505].speaker SPEAKER_57
transcript.pyannote[505].start 4040.34471875
transcript.pyannote[505].end 4040.42909375
transcript.pyannote[506].speaker SPEAKER_66
transcript.pyannote[506].start 4040.42909375
transcript.pyannote[506].end 4040.47971875
transcript.pyannote[507].speaker SPEAKER_57
transcript.pyannote[507].start 4040.47971875
transcript.pyannote[507].end 4040.53034375
transcript.pyannote[508].speaker SPEAKER_66
transcript.pyannote[508].start 4040.53034375
transcript.pyannote[508].end 4040.54721875
transcript.pyannote[509].speaker SPEAKER_57
transcript.pyannote[509].start 4040.54721875
transcript.pyannote[509].end 4040.63159375
transcript.pyannote[510].speaker SPEAKER_19
transcript.pyannote[510].start 4044.81659375
transcript.pyannote[510].end 4060.62846875
transcript.pyannote[511].speaker SPEAKER_19
transcript.pyannote[511].start 4060.96596875
transcript.pyannote[511].end 4062.07971875
transcript.pyannote[512].speaker SPEAKER_19
transcript.pyannote[512].start 4062.61971875
transcript.pyannote[512].end 4063.96971875
transcript.pyannote[513].speaker SPEAKER_58
transcript.pyannote[513].start 4063.96971875
transcript.pyannote[513].end 4064.47596875
transcript.pyannote[514].speaker SPEAKER_58
transcript.pyannote[514].start 4064.59409375
transcript.pyannote[514].end 4064.83034375
transcript.pyannote[515].speaker SPEAKER_19
transcript.pyannote[515].start 4065.55596875
transcript.pyannote[515].end 4065.96096875
transcript.pyannote[516].speaker SPEAKER_19
transcript.pyannote[516].start 4066.26471875
transcript.pyannote[516].end 4066.66971875
transcript.pyannote[517].speaker SPEAKER_19
transcript.pyannote[517].start 4067.42909375
transcript.pyannote[517].end 4068.99846875
transcript.pyannote[518].speaker SPEAKER_19
transcript.pyannote[518].start 4070.19659375
transcript.pyannote[518].end 4073.47034375
transcript.pyannote[519].speaker SPEAKER_19
transcript.pyannote[519].start 4074.29721875
transcript.pyannote[519].end 4075.15784375
transcript.pyannote[520].speaker SPEAKER_59
transcript.pyannote[520].start 4075.15784375
transcript.pyannote[520].end 4075.17471875
transcript.pyannote[521].speaker SPEAKER_19
transcript.pyannote[521].start 4075.17471875
transcript.pyannote[521].end 4075.22534375
transcript.pyannote[522].speaker SPEAKER_19
transcript.pyannote[522].start 4075.29284375
transcript.pyannote[522].end 4076.33909375
transcript.pyannote[523].speaker SPEAKER_59
transcript.pyannote[523].start 4076.33909375
transcript.pyannote[523].end 4078.44846875
transcript.pyannote[524].speaker SPEAKER_19
transcript.pyannote[524].start 4080.76034375
transcript.pyannote[524].end 4088.69159375
transcript.pyannote[525].speaker SPEAKER_19
transcript.pyannote[525].start 4088.87721875
transcript.pyannote[525].end 4090.53096875
transcript.pyannote[526].speaker SPEAKER_19
transcript.pyannote[526].start 4091.29034375
transcript.pyannote[526].end 4108.55346875
transcript.pyannote[527].speaker SPEAKER_19
transcript.pyannote[527].start 4109.46471875
transcript.pyannote[527].end 4122.39096875
transcript.pyannote[528].speaker SPEAKER_19
transcript.pyannote[528].start 4122.67784375
transcript.pyannote[528].end 4124.60159375
transcript.pyannote[529].speaker SPEAKER_11
transcript.pyannote[529].start 4122.74534375
transcript.pyannote[529].end 4130.13659375
transcript.pyannote[530].speaker SPEAKER_11
transcript.pyannote[530].start 4132.66784375
transcript.pyannote[530].end 4133.20784375
transcript.pyannote[531].speaker SPEAKER_11
transcript.pyannote[531].start 4133.68034375
transcript.pyannote[531].end 4141.72971875
transcript.pyannote[532].speaker SPEAKER_21
transcript.pyannote[532].start 4142.06721875
transcript.pyannote[532].end 4142.08409375
transcript.pyannote[533].speaker SPEAKER_19
transcript.pyannote[533].start 4142.08409375
transcript.pyannote[533].end 4142.33721875
transcript.pyannote[534].speaker SPEAKER_11
transcript.pyannote[534].start 4142.33721875
transcript.pyannote[534].end 4142.42159375
transcript.pyannote[535].speaker SPEAKER_19
transcript.pyannote[535].start 4142.42159375
transcript.pyannote[535].end 4142.43846875
transcript.pyannote[536].speaker SPEAKER_21
transcript.pyannote[536].start 4142.43846875
transcript.pyannote[536].end 4142.50596875
transcript.pyannote[537].speaker SPEAKER_11
transcript.pyannote[537].start 4142.57346875
transcript.pyannote[537].end 4145.98221875
transcript.pyannote[538].speaker SPEAKER_19
transcript.pyannote[538].start 4142.67471875
transcript.pyannote[538].end 4144.31159375
transcript.pyannote[539].speaker SPEAKER_19
transcript.pyannote[539].start 4144.68284375
transcript.pyannote[539].end 4150.06596875
transcript.pyannote[540].speaker SPEAKER_11
transcript.pyannote[540].start 4151.01096875
transcript.pyannote[540].end 4160.66346875
transcript.pyannote[541].speaker SPEAKER_19
transcript.pyannote[541].start 4159.51596875
transcript.pyannote[541].end 4160.83221875
transcript.pyannote[542].speaker SPEAKER_19
transcript.pyannote[542].start 4160.91659375
transcript.pyannote[542].end 4160.93346875
transcript.pyannote[543].speaker SPEAKER_11
transcript.pyannote[543].start 4160.93346875
transcript.pyannote[543].end 4160.95034375
transcript.pyannote[544].speaker SPEAKER_19
transcript.pyannote[544].start 4160.95034375
transcript.pyannote[544].end 4161.64221875
transcript.pyannote[545].speaker SPEAKER_11
transcript.pyannote[545].start 4161.00096875
transcript.pyannote[545].end 4161.67596875
transcript.pyannote[546].speaker SPEAKER_19
transcript.pyannote[546].start 4161.67596875
transcript.pyannote[546].end 4161.69284375
transcript.pyannote[547].speaker SPEAKER_11
transcript.pyannote[547].start 4161.69284375
transcript.pyannote[547].end 4161.72659375
transcript.pyannote[548].speaker SPEAKER_19
transcript.pyannote[548].start 4161.72659375
transcript.pyannote[548].end 4162.04721875
transcript.pyannote[549].speaker SPEAKER_11
transcript.pyannote[549].start 4162.04721875
transcript.pyannote[549].end 4168.54409375
transcript.pyannote[550].speaker SPEAKER_19
transcript.pyannote[550].start 4168.45971875
transcript.pyannote[550].end 4171.31159375
transcript.pyannote[551].speaker SPEAKER_11
transcript.pyannote[551].start 4168.62846875
transcript.pyannote[551].end 4168.64534375
transcript.pyannote[552].speaker SPEAKER_11
transcript.pyannote[552].start 4171.86846875
transcript.pyannote[552].end 4183.34346875
transcript.pyannote[553].speaker SPEAKER_19
transcript.pyannote[553].start 4178.61846875
transcript.pyannote[553].end 4178.97284375
transcript.pyannote[554].speaker SPEAKER_17
transcript.pyannote[554].start 4178.97284375
transcript.pyannote[554].end 4179.02346875
transcript.pyannote[555].speaker SPEAKER_19
transcript.pyannote[555].start 4179.02346875
transcript.pyannote[555].end 4179.95159375
transcript.pyannote[556].speaker SPEAKER_17
transcript.pyannote[556].start 4179.95159375
transcript.pyannote[556].end 4180.12034375
transcript.pyannote[557].speaker SPEAKER_19
transcript.pyannote[557].start 4180.12034375
transcript.pyannote[557].end 4181.20034375
transcript.pyannote[558].speaker SPEAKER_17
transcript.pyannote[558].start 4181.20034375
transcript.pyannote[558].end 4181.72346875
transcript.pyannote[559].speaker SPEAKER_19
transcript.pyannote[559].start 4181.72346875
transcript.pyannote[559].end 4181.84159375
transcript.pyannote[560].speaker SPEAKER_17
transcript.pyannote[560].start 4181.84159375
transcript.pyannote[560].end 4182.14534375
transcript.pyannote[561].speaker SPEAKER_19
transcript.pyannote[561].start 4182.14534375
transcript.pyannote[561].end 4182.83721875
transcript.pyannote[562].speaker SPEAKER_17
transcript.pyannote[562].start 4182.83721875
transcript.pyannote[562].end 4182.98909375
transcript.pyannote[563].speaker SPEAKER_11
transcript.pyannote[563].start 4183.41096875
transcript.pyannote[563].end 4187.02221875
transcript.pyannote[564].speaker SPEAKER_19
transcript.pyannote[564].start 4183.49534375
transcript.pyannote[564].end 4185.23346875
transcript.pyannote[565].speaker SPEAKER_19
transcript.pyannote[565].start 4186.14471875
transcript.pyannote[565].end 4189.53659375
transcript.pyannote[566].speaker SPEAKER_11
transcript.pyannote[566].start 4189.97534375
transcript.pyannote[566].end 4210.95096875
transcript.pyannote[567].speaker SPEAKER_19
transcript.pyannote[567].start 4210.29284375
transcript.pyannote[567].end 4212.50346875
transcript.pyannote[568].speaker SPEAKER_19
transcript.pyannote[568].start 4212.97596875
transcript.pyannote[568].end 4217.26221875
transcript.pyannote[569].speaker SPEAKER_11
transcript.pyannote[569].start 4217.78534375
transcript.pyannote[569].end 4221.37971875
transcript.pyannote[570].speaker SPEAKER_19
transcript.pyannote[570].start 4221.07596875
transcript.pyannote[570].end 4221.88596875
transcript.pyannote[571].speaker SPEAKER_11
transcript.pyannote[571].start 4222.34159375
transcript.pyannote[571].end 4222.72971875
transcript.pyannote[572].speaker SPEAKER_19
transcript.pyannote[572].start 4222.81409375
transcript.pyannote[572].end 4223.38784375
transcript.pyannote[573].speaker SPEAKER_19
transcript.pyannote[573].start 4223.94471875
transcript.pyannote[573].end 4226.18909375
transcript.pyannote[574].speaker SPEAKER_19
transcript.pyannote[574].start 4226.89784375
transcript.pyannote[574].end 4230.22221875
transcript.pyannote[575].speaker SPEAKER_19
transcript.pyannote[575].start 4230.69471875
transcript.pyannote[575].end 4231.74096875
transcript.pyannote[576].speaker SPEAKER_19
transcript.pyannote[576].start 4232.46659375
transcript.pyannote[576].end 4235.40284375
transcript.pyannote[577].speaker SPEAKER_08
transcript.pyannote[577].start 4237.69784375
transcript.pyannote[577].end 4237.71471875
transcript.pyannote[578].speaker SPEAKER_34
transcript.pyannote[578].start 4237.71471875
transcript.pyannote[578].end 4237.73159375
transcript.pyannote[579].speaker SPEAKER_08
transcript.pyannote[579].start 4237.73159375
transcript.pyannote[579].end 4237.95096875
transcript.pyannote[580].speaker SPEAKER_19
transcript.pyannote[580].start 4237.88346875
transcript.pyannote[580].end 4244.04284375
transcript.pyannote[581].speaker SPEAKER_34
transcript.pyannote[581].start 4237.95096875
transcript.pyannote[581].end 4238.13659375
transcript.pyannote[582].speaker SPEAKER_08
transcript.pyannote[582].start 4238.13659375
transcript.pyannote[582].end 4238.15346875
transcript.pyannote[583].speaker SPEAKER_19
transcript.pyannote[583].start 4244.31284375
transcript.pyannote[583].end 4248.27846875
transcript.pyannote[584].speaker SPEAKER_19
transcript.pyannote[584].start 4248.63284375
transcript.pyannote[584].end 4252.58159375
transcript.pyannote[585].speaker SPEAKER_19
transcript.pyannote[585].start 4253.77971875
transcript.pyannote[585].end 4254.31971875
transcript.pyannote[586].speaker SPEAKER_08
transcript.pyannote[586].start 4254.60659375
transcript.pyannote[586].end 4254.62346875
transcript.pyannote[587].speaker SPEAKER_19
transcript.pyannote[587].start 4254.62346875
transcript.pyannote[587].end 4262.41971875
transcript.pyannote[588].speaker SPEAKER_19
transcript.pyannote[588].start 4262.75721875
transcript.pyannote[588].end 4267.21221875
transcript.pyannote[589].speaker SPEAKER_08
transcript.pyannote[589].start 4267.21221875
transcript.pyannote[589].end 4267.38096875
transcript.pyannote[590].speaker SPEAKER_19
transcript.pyannote[590].start 4267.38096875
transcript.pyannote[590].end 4268.78159375
transcript.pyannote[591].speaker SPEAKER_08
transcript.pyannote[591].start 4267.46534375
transcript.pyannote[591].end 4268.08971875
transcript.pyannote[592].speaker SPEAKER_08
transcript.pyannote[592].start 4268.14034375
transcript.pyannote[592].end 4268.15721875
transcript.pyannote[593].speaker SPEAKER_08
transcript.pyannote[593].start 4268.44409375
transcript.pyannote[593].end 4276.84784375
transcript.pyannote[594].speaker SPEAKER_19
transcript.pyannote[594].start 4272.88221875
transcript.pyannote[594].end 4274.45159375
transcript.pyannote[595].speaker SPEAKER_19
transcript.pyannote[595].start 4276.84784375
transcript.pyannote[595].end 4280.93159375
transcript.pyannote[596].speaker SPEAKER_08
transcript.pyannote[596].start 4276.96596875
transcript.pyannote[596].end 4276.98284375
transcript.pyannote[597].speaker SPEAKER_19
transcript.pyannote[597].start 4281.11721875
transcript.pyannote[597].end 4282.19721875
transcript.pyannote[598].speaker SPEAKER_08
transcript.pyannote[598].start 4281.18471875
transcript.pyannote[598].end 4285.47096875
transcript.pyannote[599].speaker SPEAKER_19
transcript.pyannote[599].start 4285.70721875
transcript.pyannote[599].end 4291.10721875
transcript.pyannote[600].speaker SPEAKER_08
transcript.pyannote[600].start 4286.01096875
transcript.pyannote[600].end 4287.37784375
transcript.pyannote[601].speaker SPEAKER_19
transcript.pyannote[601].start 4291.57971875
transcript.pyannote[601].end 4293.70596875
transcript.pyannote[602].speaker SPEAKER_08
transcript.pyannote[602].start 4291.78221875
transcript.pyannote[602].end 4296.42284375
transcript.pyannote[603].speaker SPEAKER_19
transcript.pyannote[603].start 4296.42284375
transcript.pyannote[603].end 4296.43971875
transcript.pyannote[604].speaker SPEAKER_19
transcript.pyannote[604].start 4296.52409375
transcript.pyannote[604].end 4308.28596875
transcript.pyannote[605].speaker SPEAKER_19
transcript.pyannote[605].start 4308.87659375
transcript.pyannote[605].end 4310.93534375
transcript.pyannote[606].speaker SPEAKER_19
transcript.pyannote[606].start 4311.25596875
transcript.pyannote[606].end 4312.89284375
transcript.pyannote[607].speaker SPEAKER_19
transcript.pyannote[607].start 4313.34846875
transcript.pyannote[607].end 4313.70284375
transcript.pyannote[608].speaker SPEAKER_19
transcript.pyannote[608].start 4314.17534375
transcript.pyannote[608].end 4315.71096875
transcript.pyannote[609].speaker SPEAKER_19
transcript.pyannote[609].start 4315.99784375
transcript.pyannote[609].end 4316.62221875
transcript.pyannote[610].speaker SPEAKER_19
transcript.pyannote[610].start 4317.75284375
transcript.pyannote[610].end 4319.03534375
transcript.pyannote[611].speaker SPEAKER_19
transcript.pyannote[611].start 4321.11096875
transcript.pyannote[611].end 4322.57909375
transcript.pyannote[612].speaker SPEAKER_19
transcript.pyannote[612].start 4322.91659375
transcript.pyannote[612].end 4323.91221875
transcript.pyannote[613].speaker SPEAKER_19
transcript.pyannote[613].start 4325.21159375
transcript.pyannote[613].end 4326.35909375
transcript.pyannote[614].speaker SPEAKER_19
transcript.pyannote[614].start 4327.00034375
transcript.pyannote[614].end 4328.77221875
transcript.pyannote[615].speaker SPEAKER_19
transcript.pyannote[615].start 4329.37971875
transcript.pyannote[615].end 4330.22346875
transcript.pyannote[616].speaker SPEAKER_19
transcript.pyannote[616].start 4330.69596875
transcript.pyannote[616].end 4332.34971875
transcript.pyannote[617].speaker SPEAKER_19
transcript.pyannote[617].start 4333.02471875
transcript.pyannote[617].end 4333.46346875
transcript.pyannote[618].speaker SPEAKER_19
transcript.pyannote[618].start 4333.48034375
transcript.pyannote[618].end 4337.46284375
transcript.pyannote[619].speaker SPEAKER_19
transcript.pyannote[619].start 4337.93534375
transcript.pyannote[619].end 4338.32346875
transcript.pyannote[620].speaker SPEAKER_05
transcript.pyannote[620].start 4338.03659375
transcript.pyannote[620].end 4340.39909375
transcript.pyannote[621].speaker SPEAKER_19
transcript.pyannote[621].start 4338.98159375
transcript.pyannote[621].end 4340.77034375
transcript.pyannote[622].speaker SPEAKER_05
transcript.pyannote[622].start 4340.77034375
transcript.pyannote[622].end 4359.45096875
transcript.pyannote[623].speaker SPEAKER_19
transcript.pyannote[623].start 4340.78721875
transcript.pyannote[623].end 4341.71534375
transcript.pyannote[624].speaker SPEAKER_19
transcript.pyannote[624].start 4348.93784375
transcript.pyannote[624].end 4351.82346875
transcript.pyannote[625].speaker SPEAKER_19
transcript.pyannote[625].start 4356.97034375
transcript.pyannote[625].end 4362.87659375
transcript.pyannote[626].speaker SPEAKER_05
transcript.pyannote[626].start 4360.91909375
transcript.pyannote[626].end 4372.39409375
transcript.pyannote[627].speaker SPEAKER_19
transcript.pyannote[627].start 4364.04096875
transcript.pyannote[627].end 4364.86784375
transcript.pyannote[628].speaker SPEAKER_26
transcript.pyannote[628].start 4364.86784375
transcript.pyannote[628].end 4364.88471875
transcript.pyannote[629].speaker SPEAKER_19
transcript.pyannote[629].start 4365.66096875
transcript.pyannote[629].end 4368.05721875
transcript.pyannote[630].speaker SPEAKER_66
transcript.pyannote[630].start 4370.36909375
transcript.pyannote[630].end 4370.41971875
transcript.pyannote[631].speaker SPEAKER_55
transcript.pyannote[631].start 4370.41971875
transcript.pyannote[631].end 4370.63909375
transcript.pyannote[632].speaker SPEAKER_55
transcript.pyannote[632].start 4370.70659375
transcript.pyannote[632].end 4376.62971875
transcript.pyannote[633].speaker SPEAKER_05
transcript.pyannote[633].start 4373.76096875
transcript.pyannote[633].end 4374.06471875
transcript.pyannote[634].speaker SPEAKER_05
transcript.pyannote[634].start 4374.19971875
transcript.pyannote[634].end 4374.43596875
transcript.pyannote[635].speaker SPEAKER_19
transcript.pyannote[635].start 4374.43596875
transcript.pyannote[635].end 4377.30471875
transcript.pyannote[636].speaker SPEAKER_55
transcript.pyannote[636].start 4377.30471875
transcript.pyannote[636].end 4377.99659375
transcript.pyannote[637].speaker SPEAKER_19
transcript.pyannote[637].start 4377.70971875
transcript.pyannote[637].end 4377.74346875
transcript.pyannote[638].speaker SPEAKER_55
transcript.pyannote[638].start 4378.28346875
transcript.pyannote[638].end 4378.80659375
transcript.pyannote[639].speaker SPEAKER_19
transcript.pyannote[639].start 4379.09346875
transcript.pyannote[639].end 4379.54909375
transcript.pyannote[640].speaker SPEAKER_55
transcript.pyannote[640].start 4379.75159375
transcript.pyannote[640].end 4380.52784375
transcript.pyannote[641].speaker SPEAKER_19
transcript.pyannote[641].start 4380.84846875
transcript.pyannote[641].end 4381.81034375
transcript.pyannote[642].speaker SPEAKER_55
transcript.pyannote[642].start 4380.88221875
transcript.pyannote[642].end 4381.75971875
transcript.pyannote[643].speaker SPEAKER_19
transcript.pyannote[643].start 4382.26596875
transcript.pyannote[643].end 4385.65784375
transcript.pyannote[644].speaker SPEAKER_41
transcript.pyannote[644].start 4384.02096875
transcript.pyannote[644].end 4385.45534375
transcript.pyannote[645].speaker SPEAKER_41
transcript.pyannote[645].start 4385.65784375
transcript.pyannote[645].end 4385.86034375
transcript.pyannote[646].speaker SPEAKER_41
transcript.pyannote[646].start 4386.40034375
transcript.pyannote[646].end 4399.83284375
transcript.pyannote[647].speaker SPEAKER_57
transcript.pyannote[647].start 4400.45721875
transcript.pyannote[647].end 4400.54159375
transcript.pyannote[648].speaker SPEAKER_55
transcript.pyannote[648].start 4400.54159375
transcript.pyannote[648].end 4400.57534375
transcript.pyannote[649].speaker SPEAKER_55
transcript.pyannote[649].start 4401.80721875
transcript.pyannote[649].end 4405.03034375
transcript.pyannote[650].speaker SPEAKER_55
transcript.pyannote[650].start 4405.60409375
transcript.pyannote[650].end 4409.35034375
transcript.pyannote[651].speaker SPEAKER_15
transcript.pyannote[651].start 4419.13784375
transcript.pyannote[651].end 4422.09096875
transcript.pyannote[652].speaker SPEAKER_15
transcript.pyannote[652].start 4422.49596875
transcript.pyannote[652].end 4424.01471875
transcript.pyannote[653].speaker SPEAKER_56
transcript.pyannote[653].start 4422.63096875
transcript.pyannote[653].end 4423.66034375
transcript.pyannote[654].speaker SPEAKER_15
transcript.pyannote[654].start 4424.90909375
transcript.pyannote[654].end 4426.46159375
transcript.pyannote[655].speaker SPEAKER_15
transcript.pyannote[655].start 4427.27159375
transcript.pyannote[655].end 4428.14909375
transcript.pyannote[656].speaker SPEAKER_15
transcript.pyannote[656].start 4428.52034375
transcript.pyannote[656].end 4429.48221875
transcript.pyannote[657].speaker SPEAKER_15
transcript.pyannote[657].start 4430.61284375
transcript.pyannote[657].end 4457.34284375
transcript.pyannote[658].speaker SPEAKER_15
transcript.pyannote[658].start 4457.46096875
transcript.pyannote[658].end 4481.69346875
transcript.pyannote[659].speaker SPEAKER_08
transcript.pyannote[659].start 4482.26721875
transcript.pyannote[659].end 4487.36346875
transcript.pyannote[660].speaker SPEAKER_15
transcript.pyannote[660].start 4486.75596875
transcript.pyannote[660].end 4489.74284375
transcript.pyannote[661].speaker SPEAKER_08
transcript.pyannote[661].start 4487.75159375
transcript.pyannote[661].end 4487.76846875
transcript.pyannote[662].speaker SPEAKER_08
transcript.pyannote[662].start 4487.80221875
transcript.pyannote[662].end 4487.81909375
transcript.pyannote[663].speaker SPEAKER_08
transcript.pyannote[663].start 4488.54471875
transcript.pyannote[663].end 4488.91596875
transcript.pyannote[664].speaker SPEAKER_08
transcript.pyannote[664].start 4489.57409375
transcript.pyannote[664].end 4494.67034375
transcript.pyannote[665].speaker SPEAKER_15
transcript.pyannote[665].start 4493.55659375
transcript.pyannote[665].end 4495.88534375
transcript.pyannote[666].speaker SPEAKER_08
transcript.pyannote[666].start 4496.00346875
transcript.pyannote[666].end 4504.05284375
transcript.pyannote[667].speaker SPEAKER_15
transcript.pyannote[667].start 4504.05284375
transcript.pyannote[667].end 4504.50846875
transcript.pyannote[668].speaker SPEAKER_08
transcript.pyannote[668].start 4504.50846875
transcript.pyannote[668].end 4506.78659375
transcript.pyannote[669].speaker SPEAKER_15
transcript.pyannote[669].start 4505.13284375
transcript.pyannote[669].end 4515.20721875
transcript.pyannote[670].speaker SPEAKER_08
transcript.pyannote[670].start 4507.84971875
transcript.pyannote[670].end 4509.21659375
transcript.pyannote[671].speaker SPEAKER_08
transcript.pyannote[671].start 4512.11909375
transcript.pyannote[671].end 4512.81096875
transcript.pyannote[672].speaker SPEAKER_08
transcript.pyannote[672].start 4514.44784375
transcript.pyannote[672].end 4521.40034375
transcript.pyannote[673].speaker SPEAKER_08
transcript.pyannote[673].start 4521.78846875
transcript.pyannote[673].end 4527.22221875
transcript.pyannote[674].speaker SPEAKER_15
transcript.pyannote[674].start 4526.10846875
transcript.pyannote[674].end 4527.96471875
transcript.pyannote[675].speaker SPEAKER_15
transcript.pyannote[675].start 4527.98159375
transcript.pyannote[675].end 4528.03221875
transcript.pyannote[676].speaker SPEAKER_08
transcript.pyannote[676].start 4528.03221875
transcript.pyannote[676].end 4529.85471875
transcript.pyannote[677].speaker SPEAKER_15
transcript.pyannote[677].start 4528.48784375
transcript.pyannote[677].end 4529.98971875
transcript.pyannote[678].speaker SPEAKER_08
transcript.pyannote[678].start 4530.32721875
transcript.pyannote[678].end 4530.42846875
transcript.pyannote[679].speaker SPEAKER_15
transcript.pyannote[679].start 4530.42846875
transcript.pyannote[679].end 4541.97096875
transcript.pyannote[680].speaker SPEAKER_08
transcript.pyannote[680].start 4541.97096875
transcript.pyannote[680].end 4541.98784375
transcript.pyannote[681].speaker SPEAKER_08
transcript.pyannote[681].start 4542.56159375
transcript.pyannote[681].end 4551.11721875
transcript.pyannote[682].speaker SPEAKER_15
transcript.pyannote[682].start 4550.34096875
transcript.pyannote[682].end 4554.82971875
transcript.pyannote[683].speaker SPEAKER_08
transcript.pyannote[683].start 4555.50471875
transcript.pyannote[683].end 4561.57971875
transcript.pyannote[684].speaker SPEAKER_08
transcript.pyannote[684].start 4561.79909375
transcript.pyannote[684].end 4563.26721875
transcript.pyannote[685].speaker SPEAKER_15
transcript.pyannote[685].start 4562.15346875
transcript.pyannote[685].end 4568.05971875
transcript.pyannote[686].speaker SPEAKER_08
transcript.pyannote[686].start 4567.70534375
transcript.pyannote[686].end 4570.32096875
transcript.pyannote[687].speaker SPEAKER_15
transcript.pyannote[687].start 4570.32096875
transcript.pyannote[687].end 4572.24471875
transcript.pyannote[688].speaker SPEAKER_08
transcript.pyannote[688].start 4573.22346875
transcript.pyannote[688].end 4574.35409375
transcript.pyannote[689].speaker SPEAKER_15
transcript.pyannote[689].start 4574.35409375
transcript.pyannote[689].end 4579.43346875
transcript.pyannote[690].speaker SPEAKER_08
transcript.pyannote[690].start 4579.80471875
transcript.pyannote[690].end 4582.06596875
transcript.pyannote[691].speaker SPEAKER_08
transcript.pyannote[691].start 4582.20096875
transcript.pyannote[691].end 4585.49159375
transcript.pyannote[692].speaker SPEAKER_15
transcript.pyannote[692].start 4585.87971875
transcript.pyannote[692].end 4587.48284375
transcript.pyannote[693].speaker SPEAKER_08
transcript.pyannote[693].start 4586.09909375
transcript.pyannote[693].end 4587.11159375
transcript.pyannote[694].speaker SPEAKER_15
transcript.pyannote[694].start 4587.61784375
transcript.pyannote[694].end 4588.86659375
transcript.pyannote[695].speaker SPEAKER_08
transcript.pyannote[695].start 4589.13659375
transcript.pyannote[695].end 4591.73534375
transcript.pyannote[696].speaker SPEAKER_08
transcript.pyannote[696].start 4592.10659375
transcript.pyannote[696].end 4592.19096875
transcript.pyannote[697].speaker SPEAKER_15
transcript.pyannote[697].start 4592.19096875
transcript.pyannote[697].end 4592.56221875
transcript.pyannote[698].speaker SPEAKER_08
transcript.pyannote[698].start 4592.20784375
transcript.pyannote[698].end 4592.29221875
transcript.pyannote[699].speaker SPEAKER_15
transcript.pyannote[699].start 4593.50721875
transcript.pyannote[699].end 4598.75534375
transcript.pyannote[700].speaker SPEAKER_15
transcript.pyannote[700].start 4599.36284375
transcript.pyannote[700].end 4600.17284375
transcript.pyannote[701].speaker SPEAKER_08
transcript.pyannote[701].start 4600.62846875
transcript.pyannote[701].end 4607.39534375
transcript.pyannote[702].speaker SPEAKER_15
transcript.pyannote[702].start 4606.06221875
transcript.pyannote[702].end 4609.52159375
transcript.pyannote[703].speaker SPEAKER_08
transcript.pyannote[703].start 4609.77471875
transcript.pyannote[703].end 4610.51721875
transcript.pyannote[704].speaker SPEAKER_15
transcript.pyannote[704].start 4610.68596875
transcript.pyannote[704].end 4612.13721875
transcript.pyannote[705].speaker SPEAKER_08
transcript.pyannote[705].start 4614.34784375
transcript.pyannote[705].end 4615.51221875
transcript.pyannote[706].speaker SPEAKER_15
transcript.pyannote[706].start 4615.68096875
transcript.pyannote[706].end 4625.60346875
transcript.pyannote[707].speaker SPEAKER_08
transcript.pyannote[707].start 4616.72721875
transcript.pyannote[707].end 4617.03096875
transcript.pyannote[708].speaker SPEAKER_08
transcript.pyannote[708].start 4620.55784375
transcript.pyannote[708].end 4621.21596875
transcript.pyannote[709].speaker SPEAKER_15
transcript.pyannote[709].start 4626.05909375
transcript.pyannote[709].end 4645.22909375
transcript.pyannote[710].speaker SPEAKER_26
transcript.pyannote[710].start 4633.83846875
transcript.pyannote[710].end 4634.09159375
transcript.pyannote[711].speaker SPEAKER_08
transcript.pyannote[711].start 4641.83721875
transcript.pyannote[711].end 4642.00596875
transcript.pyannote[712].speaker SPEAKER_08
transcript.pyannote[712].start 4642.42784375
transcript.pyannote[712].end 4643.74409375
transcript.pyannote[713].speaker SPEAKER_08
transcript.pyannote[713].start 4644.80721875
transcript.pyannote[713].end 4650.32534375
transcript.pyannote[714].speaker SPEAKER_15
transcript.pyannote[714].start 4645.56659375
transcript.pyannote[714].end 4645.73534375
transcript.pyannote[715].speaker SPEAKER_15
transcript.pyannote[715].start 4648.80659375
transcript.pyannote[715].end 4649.58284375
transcript.pyannote[716].speaker SPEAKER_15
transcript.pyannote[716].start 4650.32534375
transcript.pyannote[716].end 4650.71346875
transcript.pyannote[717].speaker SPEAKER_08
transcript.pyannote[717].start 4650.44346875
transcript.pyannote[717].end 4651.50659375
transcript.pyannote[718].speaker SPEAKER_08
transcript.pyannote[718].start 4651.89471875
transcript.pyannote[718].end 4653.56534375
transcript.pyannote[719].speaker SPEAKER_15
transcript.pyannote[719].start 4652.80596875
transcript.pyannote[719].end 4657.22721875
transcript.pyannote[720].speaker SPEAKER_08
transcript.pyannote[720].start 4657.19346875
transcript.pyannote[720].end 4657.21034375
transcript.pyannote[721].speaker SPEAKER_08
transcript.pyannote[721].start 4657.22721875
transcript.pyannote[721].end 4661.09159375
transcript.pyannote[722].speaker SPEAKER_15
transcript.pyannote[722].start 4659.38721875
transcript.pyannote[722].end 4659.89346875
transcript.pyannote[723].speaker SPEAKER_15
transcript.pyannote[723].start 4660.06221875
transcript.pyannote[723].end 4666.57596875
transcript.pyannote[724].speaker SPEAKER_15
transcript.pyannote[724].start 4667.80784375
transcript.pyannote[724].end 4712.42534375
transcript.pyannote[725].speaker SPEAKER_63
transcript.pyannote[725].start 4711.88534375
transcript.pyannote[725].end 4717.50471875
transcript.pyannote[726].speaker SPEAKER_63
transcript.pyannote[726].start 4717.89284375
transcript.pyannote[726].end 4730.16096875
transcript.pyannote[727].speaker SPEAKER_15
transcript.pyannote[727].start 4720.87971875
transcript.pyannote[727].end 4722.01034375
transcript.pyannote[728].speaker SPEAKER_15
transcript.pyannote[728].start 4722.14534375
transcript.pyannote[728].end 4722.51659375
transcript.pyannote[729].speaker SPEAKER_15
transcript.pyannote[729].start 4726.95471875
transcript.pyannote[729].end 4727.12346875
transcript.pyannote[730].speaker SPEAKER_15
transcript.pyannote[730].start 4727.96721875
transcript.pyannote[730].end 4728.01784375
transcript.pyannote[731].speaker SPEAKER_63
transcript.pyannote[731].start 4731.17346875
transcript.pyannote[731].end 4740.64034375
transcript.pyannote[732].speaker SPEAKER_00
transcript.pyannote[732].start 4733.95784375
transcript.pyannote[732].end 4733.97471875
transcript.pyannote[733].speaker SPEAKER_15
transcript.pyannote[733].start 4733.97471875
transcript.pyannote[733].end 4734.24471875
transcript.pyannote[734].speaker SPEAKER_15
transcript.pyannote[734].start 4739.47596875
transcript.pyannote[734].end 4762.96596875
transcript.pyannote[735].speaker SPEAKER_63
transcript.pyannote[735].start 4741.99034375
transcript.pyannote[735].end 4742.66534375
transcript.pyannote[736].speaker SPEAKER_63
transcript.pyannote[736].start 4743.86346875
transcript.pyannote[736].end 4745.55096875
transcript.pyannote[737].speaker SPEAKER_52
transcript.pyannote[737].start 4745.55096875
transcript.pyannote[737].end 4745.71971875
transcript.pyannote[738].speaker SPEAKER_63
transcript.pyannote[738].start 4745.71971875
transcript.pyannote[738].end 4746.37784375
transcript.pyannote[739].speaker SPEAKER_52
transcript.pyannote[739].start 4746.37784375
transcript.pyannote[739].end 4746.59721875
transcript.pyannote[740].speaker SPEAKER_52
transcript.pyannote[740].start 4748.72346875
transcript.pyannote[740].end 4748.75721875
transcript.pyannote[741].speaker SPEAKER_63
transcript.pyannote[741].start 4748.75721875
transcript.pyannote[741].end 4748.97659375
transcript.pyannote[742].speaker SPEAKER_52
transcript.pyannote[742].start 4748.97659375
transcript.pyannote[742].end 4749.01034375
transcript.pyannote[743].speaker SPEAKER_52
transcript.pyannote[743].start 4752.97596875
transcript.pyannote[743].end 4755.96284375
transcript.pyannote[744].speaker SPEAKER_52
transcript.pyannote[744].start 4758.54471875
transcript.pyannote[744].end 4758.89909375
transcript.pyannote[745].speaker SPEAKER_52
transcript.pyannote[745].start 4759.13534375
transcript.pyannote[745].end 4759.86096875
transcript.pyannote[746].speaker SPEAKER_52
transcript.pyannote[746].start 4760.63721875
transcript.pyannote[746].end 4761.10971875
transcript.pyannote[747].speaker SPEAKER_15
transcript.pyannote[747].start 4763.06721875
transcript.pyannote[747].end 4767.94409375
transcript.pyannote[748].speaker SPEAKER_63
transcript.pyannote[748].start 4764.04596875
transcript.pyannote[748].end 4764.60284375
transcript.pyannote[749].speaker SPEAKER_63
transcript.pyannote[749].start 4765.93596875
transcript.pyannote[749].end 4765.96971875
transcript.pyannote[750].speaker SPEAKER_55
transcript.pyannote[750].start 4765.96971875
transcript.pyannote[750].end 4766.00346875
transcript.pyannote[751].speaker SPEAKER_63
transcript.pyannote[751].start 4766.00346875
transcript.pyannote[751].end 4766.02034375
transcript.pyannote[752].speaker SPEAKER_55
transcript.pyannote[752].start 4766.02034375
transcript.pyannote[752].end 4766.03721875
transcript.pyannote[753].speaker SPEAKER_63
transcript.pyannote[753].start 4766.03721875
transcript.pyannote[753].end 4766.91471875
transcript.pyannote[754].speaker SPEAKER_55
transcript.pyannote[754].start 4766.91471875
transcript.pyannote[754].end 4767.85971875
transcript.pyannote[755].speaker SPEAKER_55
transcript.pyannote[755].start 4767.94409375
transcript.pyannote[755].end 4768.78784375
transcript.pyannote[756].speaker SPEAKER_15
transcript.pyannote[756].start 4768.53471875
transcript.pyannote[756].end 4770.54284375
transcript.pyannote[757].speaker SPEAKER_63
transcript.pyannote[757].start 4768.78784375
transcript.pyannote[757].end 4768.88909375
transcript.pyannote[758].speaker SPEAKER_63
transcript.pyannote[758].start 4769.63159375
transcript.pyannote[758].end 4769.64846875
transcript.pyannote[759].speaker SPEAKER_55
transcript.pyannote[759].start 4769.64846875
transcript.pyannote[759].end 4772.24721875
transcript.pyannote[760].speaker SPEAKER_55
transcript.pyannote[760].start 4773.74909375
transcript.pyannote[760].end 4776.16221875
transcript.pyannote[761].speaker SPEAKER_42
transcript.pyannote[761].start 4784.85284375
transcript.pyannote[761].end 4787.31659375
transcript.pyannote[762].speaker SPEAKER_59
transcript.pyannote[762].start 4787.63721875
transcript.pyannote[762].end 4788.64971875
transcript.pyannote[763].speaker SPEAKER_42
transcript.pyannote[763].start 4791.94034375
transcript.pyannote[763].end 4792.04159375
transcript.pyannote[764].speaker SPEAKER_59
transcript.pyannote[764].start 4793.71221875
transcript.pyannote[764].end 4793.72909375
transcript.pyannote[765].speaker SPEAKER_08
transcript.pyannote[765].start 4793.72909375
transcript.pyannote[765].end 4794.52221875
transcript.pyannote[766].speaker SPEAKER_42
transcript.pyannote[766].start 4794.74159375
transcript.pyannote[766].end 4807.16159375
transcript.pyannote[767].speaker SPEAKER_16
transcript.pyannote[767].start 4807.16159375
transcript.pyannote[767].end 4807.56659375
transcript.pyannote[768].speaker SPEAKER_42
transcript.pyannote[768].start 4807.56659375
transcript.pyannote[768].end 4884.14534375
transcript.pyannote[769].speaker SPEAKER_16
transcript.pyannote[769].start 4836.86159375
transcript.pyannote[769].end 4836.96284375
transcript.pyannote[770].speaker SPEAKER_08
transcript.pyannote[770].start 4884.39846875
transcript.pyannote[770].end 4892.86971875
transcript.pyannote[771].speaker SPEAKER_42
transcript.pyannote[771].start 4890.82784375
transcript.pyannote[771].end 4891.30034375
transcript.pyannote[772].speaker SPEAKER_08
transcript.pyannote[772].start 4893.39284375
transcript.pyannote[772].end 4895.29971875
transcript.pyannote[773].speaker SPEAKER_42
transcript.pyannote[773].start 4895.29971875
transcript.pyannote[773].end 4895.65409375
transcript.pyannote[774].speaker SPEAKER_08
transcript.pyannote[774].start 4895.65409375
transcript.pyannote[774].end 4938.38159375
transcript.pyannote[775].speaker SPEAKER_42
transcript.pyannote[775].start 4895.70471875
transcript.pyannote[775].end 4896.61596875
transcript.pyannote[776].speaker SPEAKER_42
transcript.pyannote[776].start 4904.17596875
transcript.pyannote[776].end 4904.34471875
transcript.pyannote[777].speaker SPEAKER_42
transcript.pyannote[777].start 4924.81409375
transcript.pyannote[777].end 4925.23596875
transcript.pyannote[778].speaker SPEAKER_42
transcript.pyannote[778].start 4927.14284375
transcript.pyannote[778].end 4929.25221875
transcript.pyannote[779].speaker SPEAKER_42
transcript.pyannote[779].start 4938.36471875
transcript.pyannote[779].end 5054.59971875
transcript.pyannote[780].speaker SPEAKER_52
transcript.pyannote[780].start 4950.39659375
transcript.pyannote[780].end 4950.80159375
transcript.pyannote[781].speaker SPEAKER_36
transcript.pyannote[781].start 4950.80159375
transcript.pyannote[781].end 4951.72971875
transcript.pyannote[782].speaker SPEAKER_52
transcript.pyannote[782].start 5009.02034375
transcript.pyannote[782].end 5009.03721875
transcript.pyannote[783].speaker SPEAKER_66
transcript.pyannote[783].start 5009.03721875
transcript.pyannote[783].end 5009.71221875
transcript.pyannote[784].speaker SPEAKER_52
transcript.pyannote[784].start 5009.71221875
transcript.pyannote[784].end 5009.72909375
transcript.pyannote[785].speaker SPEAKER_42
transcript.pyannote[785].start 5054.83596875
transcript.pyannote[785].end 5092.06221875
transcript.pyannote[786].speaker SPEAKER_08
transcript.pyannote[786].start 5092.24784375
transcript.pyannote[786].end 5111.28284375
transcript.pyannote[787].speaker SPEAKER_42
transcript.pyannote[787].start 5111.28284375
transcript.pyannote[787].end 5140.83096875
transcript.pyannote[788].speaker SPEAKER_08
transcript.pyannote[788].start 5140.56096875
transcript.pyannote[788].end 5140.64534375
transcript.pyannote[789].speaker SPEAKER_55
transcript.pyannote[789].start 5140.64534375
transcript.pyannote[789].end 5140.78034375
transcript.pyannote[790].speaker SPEAKER_08
transcript.pyannote[790].start 5140.78034375
transcript.pyannote[790].end 5140.79721875
transcript.pyannote[791].speaker SPEAKER_08
transcript.pyannote[791].start 5140.83096875
transcript.pyannote[791].end 5141.82659375
transcript.pyannote[792].speaker SPEAKER_55
transcript.pyannote[792].start 5141.82659375
transcript.pyannote[792].end 5141.86034375
transcript.pyannote[793].speaker SPEAKER_08
transcript.pyannote[793].start 5141.86034375
transcript.pyannote[793].end 5142.75471875
transcript.pyannote[794].speaker SPEAKER_55
transcript.pyannote[794].start 5141.97846875
transcript.pyannote[794].end 5142.14721875
transcript.pyannote[795].speaker SPEAKER_42
transcript.pyannote[795].start 5142.14721875
transcript.pyannote[795].end 5142.61971875
transcript.pyannote[796].speaker SPEAKER_55
transcript.pyannote[796].start 5142.61971875
transcript.pyannote[796].end 5143.75034375
transcript.pyannote[797].speaker SPEAKER_42
transcript.pyannote[797].start 5142.75471875
transcript.pyannote[797].end 5142.78846875
transcript.pyannote[798].speaker SPEAKER_08
transcript.pyannote[798].start 5142.78846875
transcript.pyannote[798].end 5143.24409375
transcript.pyannote[799].speaker SPEAKER_42
transcript.pyannote[799].start 5143.24409375
transcript.pyannote[799].end 5144.02034375
transcript.pyannote[800].speaker SPEAKER_08
transcript.pyannote[800].start 5143.75034375
transcript.pyannote[800].end 5143.85159375
transcript.pyannote[801].speaker SPEAKER_08
transcript.pyannote[801].start 5144.02034375
transcript.pyannote[801].end 5144.03721875
transcript.pyannote[802].speaker SPEAKER_55
transcript.pyannote[802].start 5144.03721875
transcript.pyannote[802].end 5146.90596875
transcript.pyannote[803].speaker SPEAKER_55
transcript.pyannote[803].start 5147.24346875
transcript.pyannote[803].end 5149.15034375
transcript.pyannote[804].speaker SPEAKER_33
transcript.pyannote[804].start 5152.71096875
transcript.pyannote[804].end 5155.63034375
transcript.pyannote[805].speaker SPEAKER_59
transcript.pyannote[805].start 5156.06909375
transcript.pyannote[805].end 5157.55409375
transcript.pyannote[806].speaker SPEAKER_33
transcript.pyannote[806].start 5161.73909375
transcript.pyannote[806].end 5161.75596875
transcript.pyannote[807].speaker SPEAKER_08
transcript.pyannote[807].start 5161.75596875
transcript.pyannote[807].end 5162.39721875
transcript.pyannote[808].speaker SPEAKER_33
transcript.pyannote[808].start 5162.73471875
transcript.pyannote[808].end 5168.99534375
transcript.pyannote[809].speaker SPEAKER_33
transcript.pyannote[809].start 5169.02909375
transcript.pyannote[809].end 5171.96534375
transcript.pyannote[810].speaker SPEAKER_33
transcript.pyannote[810].start 5172.35346875
transcript.pyannote[810].end 5180.94284375
transcript.pyannote[811].speaker SPEAKER_33
transcript.pyannote[811].start 5181.07784375
transcript.pyannote[811].end 5211.28409375
transcript.pyannote[812].speaker SPEAKER_08
transcript.pyannote[812].start 5210.92971875
transcript.pyannote[812].end 5211.62159375
transcript.pyannote[813].speaker SPEAKER_33
transcript.pyannote[813].start 5211.68909375
transcript.pyannote[813].end 5214.45659375
transcript.pyannote[814].speaker SPEAKER_33
transcript.pyannote[814].start 5214.91221875
transcript.pyannote[814].end 5217.17346875
transcript.pyannote[815].speaker SPEAKER_08
transcript.pyannote[815].start 5214.97971875
transcript.pyannote[815].end 5223.29909375
transcript.pyannote[816].speaker SPEAKER_33
transcript.pyannote[816].start 5219.21534375
transcript.pyannote[816].end 5219.80596875
transcript.pyannote[817].speaker SPEAKER_33
transcript.pyannote[817].start 5221.47659375
transcript.pyannote[817].end 5221.91534375
transcript.pyannote[818].speaker SPEAKER_33
transcript.pyannote[818].start 5223.55221875
transcript.pyannote[818].end 5302.62846875
transcript.pyannote[819].speaker SPEAKER_08
transcript.pyannote[819].start 5224.37909375
transcript.pyannote[819].end 5225.29034375
transcript.pyannote[820].speaker SPEAKER_45
transcript.pyannote[820].start 5253.13409375
transcript.pyannote[820].end 5253.97784375
transcript.pyannote[821].speaker SPEAKER_52
transcript.pyannote[821].start 5253.97784375
transcript.pyannote[821].end 5254.04534375
transcript.pyannote[822].speaker SPEAKER_63
transcript.pyannote[822].start 5303.32034375
transcript.pyannote[822].end 5316.80346875
transcript.pyannote[823].speaker SPEAKER_33
transcript.pyannote[823].start 5316.80346875
transcript.pyannote[823].end 5317.17471875
transcript.pyannote[824].speaker SPEAKER_63
transcript.pyannote[824].start 5317.17471875
transcript.pyannote[824].end 5325.49409375
transcript.pyannote[825].speaker SPEAKER_33
transcript.pyannote[825].start 5321.02221875
transcript.pyannote[825].end 5321.27534375
transcript.pyannote[826].speaker SPEAKER_63
transcript.pyannote[826].start 5325.79784375
transcript.pyannote[826].end 5334.69096875
transcript.pyannote[827].speaker SPEAKER_53
transcript.pyannote[827].start 5330.53971875
transcript.pyannote[827].end 5330.94471875
transcript.pyannote[828].speaker SPEAKER_63
transcript.pyannote[828].start 5334.99471875
transcript.pyannote[828].end 5340.10784375
transcript.pyannote[829].speaker SPEAKER_53
transcript.pyannote[829].start 5335.02846875
transcript.pyannote[829].end 5335.41659375
transcript.pyannote[830].speaker SPEAKER_63
transcript.pyannote[830].start 5340.47909375
transcript.pyannote[830].end 5357.70846875
transcript.pyannote[831].speaker SPEAKER_33
transcript.pyannote[831].start 5356.47659375
transcript.pyannote[831].end 5374.68471875
transcript.pyannote[832].speaker SPEAKER_63
transcript.pyannote[832].start 5373.99284375
transcript.pyannote[832].end 5375.78159375
transcript.pyannote[833].speaker SPEAKER_33
transcript.pyannote[833].start 5375.25846875
transcript.pyannote[833].end 5375.91659375
transcript.pyannote[834].speaker SPEAKER_63
transcript.pyannote[834].start 5375.91659375
transcript.pyannote[834].end 5376.50721875
transcript.pyannote[835].speaker SPEAKER_33
transcript.pyannote[835].start 5376.60846875
transcript.pyannote[835].end 5381.24909375
transcript.pyannote[836].speaker SPEAKER_63
transcript.pyannote[836].start 5377.97534375
transcript.pyannote[836].end 5380.20284375
transcript.pyannote[837].speaker SPEAKER_63
transcript.pyannote[837].start 5380.69221875
transcript.pyannote[837].end 5387.56034375
transcript.pyannote[838].speaker SPEAKER_63
transcript.pyannote[838].start 5387.94846875
transcript.pyannote[838].end 5393.85471875
transcript.pyannote[839].speaker SPEAKER_33
transcript.pyannote[839].start 5392.94346875
transcript.pyannote[839].end 5398.36034375
transcript.pyannote[840].speaker SPEAKER_33
transcript.pyannote[840].start 5399.33909375
transcript.pyannote[840].end 5400.28409375
transcript.pyannote[841].speaker SPEAKER_63
transcript.pyannote[841].start 5399.57534375
transcript.pyannote[841].end 5400.77346875
transcript.pyannote[842].speaker SPEAKER_33
transcript.pyannote[842].start 5400.77346875
transcript.pyannote[842].end 5404.16534375
transcript.pyannote[843].speaker SPEAKER_63
transcript.pyannote[843].start 5400.79034375
transcript.pyannote[843].end 5400.80721875
transcript.pyannote[844].speaker SPEAKER_63
transcript.pyannote[844].start 5401.36409375
transcript.pyannote[844].end 5402.19096875
transcript.pyannote[845].speaker SPEAKER_63
transcript.pyannote[845].start 5404.21596875
transcript.pyannote[845].end 5404.23284375
transcript.pyannote[846].speaker SPEAKER_63
transcript.pyannote[846].start 5404.24971875
transcript.pyannote[846].end 5417.95221875
transcript.pyannote[847].speaker SPEAKER_63
transcript.pyannote[847].start 5418.13784375
transcript.pyannote[847].end 5423.48721875
transcript.pyannote[848].speaker SPEAKER_33
transcript.pyannote[848].start 5422.62659375
transcript.pyannote[848].end 5426.30534375
transcript.pyannote[849].speaker SPEAKER_63
transcript.pyannote[849].start 5424.95534375
transcript.pyannote[849].end 5429.00534375
transcript.pyannote[850].speaker SPEAKER_33
transcript.pyannote[850].start 5429.14034375
transcript.pyannote[850].end 5441.56034375
transcript.pyannote[851].speaker SPEAKER_63
transcript.pyannote[851].start 5431.80659375
transcript.pyannote[851].end 5433.96659375
transcript.pyannote[852].speaker SPEAKER_63
transcript.pyannote[852].start 5437.20659375
transcript.pyannote[852].end 5437.61159375
transcript.pyannote[853].speaker SPEAKER_63
transcript.pyannote[853].start 5441.02034375
transcript.pyannote[853].end 5453.33909375
transcript.pyannote[854].speaker SPEAKER_33
transcript.pyannote[854].start 5453.25471875
transcript.pyannote[854].end 5454.19971875
transcript.pyannote[855].speaker SPEAKER_63
transcript.pyannote[855].start 5453.72721875
transcript.pyannote[855].end 5456.49471875
transcript.pyannote[856].speaker SPEAKER_33
transcript.pyannote[856].start 5456.44409375
transcript.pyannote[856].end 5473.08284375
transcript.pyannote[857].speaker SPEAKER_33
transcript.pyannote[857].start 5473.57221875
transcript.pyannote[857].end 5513.58284375
transcript.pyannote[858].speaker SPEAKER_55
transcript.pyannote[858].start 5510.84909375
transcript.pyannote[858].end 5511.74346875
transcript.pyannote[859].speaker SPEAKER_55
transcript.pyannote[859].start 5512.90784375
transcript.pyannote[859].end 5516.51909375
transcript.pyannote[860].speaker SPEAKER_55
transcript.pyannote[860].start 5516.83971875
transcript.pyannote[860].end 5521.31159375
transcript.pyannote[861].speaker SPEAKER_55
transcript.pyannote[861].start 5521.81784375
transcript.pyannote[861].end 5523.74159375
transcript.pyannote[862].speaker SPEAKER_55
transcript.pyannote[862].start 5523.75846875
transcript.pyannote[862].end 5523.77534375
transcript.pyannote[863].speaker SPEAKER_55
transcript.pyannote[863].start 5523.84284375
transcript.pyannote[863].end 5525.83409375
transcript.pyannote[864].speaker SPEAKER_44
transcript.pyannote[864].start 5531.48721875
transcript.pyannote[864].end 5533.59659375
transcript.pyannote[865].speaker SPEAKER_44
transcript.pyannote[865].start 5535.03096875
transcript.pyannote[865].end 5536.54971875
transcript.pyannote[866].speaker SPEAKER_11
transcript.pyannote[866].start 5545.40909375
transcript.pyannote[866].end 5546.33721875
transcript.pyannote[867].speaker SPEAKER_44
transcript.pyannote[867].start 5546.50596875
transcript.pyannote[867].end 5569.65846875
transcript.pyannote[868].speaker SPEAKER_11
transcript.pyannote[868].start 5570.29971875
transcript.pyannote[868].end 5587.84971875
transcript.pyannote[869].speaker SPEAKER_44
transcript.pyannote[869].start 5587.44471875
transcript.pyannote[869].end 5591.17409375
transcript.pyannote[870].speaker SPEAKER_11
transcript.pyannote[870].start 5589.36846875
transcript.pyannote[870].end 5595.30846875
transcript.pyannote[871].speaker SPEAKER_44
transcript.pyannote[871].start 5592.06846875
transcript.pyannote[871].end 5592.52409375
transcript.pyannote[872].speaker SPEAKER_44
transcript.pyannote[872].start 5593.82346875
transcript.pyannote[872].end 5633.29409375
transcript.pyannote[873].speaker SPEAKER_11
transcript.pyannote[873].start 5633.90159375
transcript.pyannote[873].end 5647.97534375
transcript.pyannote[874].speaker SPEAKER_44
transcript.pyannote[874].start 5647.11471875
transcript.pyannote[874].end 5652.43034375
transcript.pyannote[875].speaker SPEAKER_11
transcript.pyannote[875].start 5652.95346875
transcript.pyannote[875].end 5653.47659375
transcript.pyannote[876].speaker SPEAKER_11
transcript.pyannote[876].start 5653.74659375
transcript.pyannote[876].end 5654.11784375
transcript.pyannote[877].speaker SPEAKER_11
transcript.pyannote[877].start 5654.25284375
transcript.pyannote[877].end 5664.69846875
transcript.pyannote[878].speaker SPEAKER_11
transcript.pyannote[878].start 5665.23846875
transcript.pyannote[878].end 5666.09909375
transcript.pyannote[879].speaker SPEAKER_44
transcript.pyannote[879].start 5666.28471875
transcript.pyannote[879].end 5684.42534375
transcript.pyannote[880].speaker SPEAKER_11
transcript.pyannote[880].start 5667.78659375
transcript.pyannote[880].end 5668.19159375
transcript.pyannote[881].speaker SPEAKER_11
transcript.pyannote[881].start 5683.88534375
transcript.pyannote[881].end 5685.69096875
transcript.pyannote[882].speaker SPEAKER_44
transcript.pyannote[882].start 5685.23534375
transcript.pyannote[882].end 5688.17159375
transcript.pyannote[883].speaker SPEAKER_11
transcript.pyannote[883].start 5686.36596875
transcript.pyannote[883].end 5691.02346875
transcript.pyannote[884].speaker SPEAKER_44
transcript.pyannote[884].start 5690.56784375
transcript.pyannote[884].end 5696.99721875
transcript.pyannote[885].speaker SPEAKER_11
transcript.pyannote[885].start 5696.33909375
transcript.pyannote[885].end 5700.10221875
transcript.pyannote[886].speaker SPEAKER_44
transcript.pyannote[886].start 5697.72284375
transcript.pyannote[886].end 5804.87909375
transcript.pyannote[887].speaker SPEAKER_11
transcript.pyannote[887].start 5805.36846875
transcript.pyannote[887].end 5818.32846875
transcript.pyannote[888].speaker SPEAKER_44
transcript.pyannote[888].start 5818.29471875
transcript.pyannote[888].end 5841.44721875
transcript.pyannote[889].speaker SPEAKER_44
transcript.pyannote[889].start 5841.97034375
transcript.pyannote[889].end 5844.77159375
transcript.pyannote[890].speaker SPEAKER_11
transcript.pyannote[890].start 5842.08846875
transcript.pyannote[890].end 5842.37534375
transcript.pyannote[891].speaker SPEAKER_11
transcript.pyannote[891].start 5845.44659375
transcript.pyannote[891].end 5851.90971875
transcript.pyannote[892].speaker SPEAKER_44
transcript.pyannote[892].start 5851.97721875
transcript.pyannote[892].end 5853.68159375
transcript.pyannote[893].speaker SPEAKER_11
transcript.pyannote[893].start 5853.98534375
transcript.pyannote[893].end 5856.65159375
transcript.pyannote[894].speaker SPEAKER_11
transcript.pyannote[894].start 5856.66846875
transcript.pyannote[894].end 5856.68534375
transcript.pyannote[895].speaker SPEAKER_44
transcript.pyannote[895].start 5856.70221875
transcript.pyannote[895].end 5873.47596875
transcript.pyannote[896].speaker SPEAKER_11
transcript.pyannote[896].start 5872.24409375
transcript.pyannote[896].end 5872.51409375
transcript.pyannote[897].speaker SPEAKER_11
transcript.pyannote[897].start 5873.72909375
transcript.pyannote[897].end 5883.19596875
transcript.pyannote[898].speaker SPEAKER_44
transcript.pyannote[898].start 5881.62659375
transcript.pyannote[898].end 5895.61596875
transcript.pyannote[899].speaker SPEAKER_11
transcript.pyannote[899].start 5895.46409375
transcript.pyannote[899].end 5897.01659375
transcript.pyannote[900].speaker SPEAKER_44
transcript.pyannote[900].start 5897.01659375
transcript.pyannote[900].end 5897.50596875
transcript.pyannote[901].speaker SPEAKER_55
transcript.pyannote[901].start 5897.26971875
transcript.pyannote[901].end 5899.91909375
transcript.pyannote[902].speaker SPEAKER_55
transcript.pyannote[902].start 5901.20159375
transcript.pyannote[902].end 5903.07471875
transcript.pyannote[903].speaker SPEAKER_35
transcript.pyannote[903].start 5910.26346875
transcript.pyannote[903].end 5915.78159375
transcript.pyannote[904].speaker SPEAKER_55
transcript.pyannote[904].start 5910.80346875
transcript.pyannote[904].end 5910.82034375
transcript.pyannote[905].speaker SPEAKER_55
transcript.pyannote[905].start 5910.83721875
transcript.pyannote[905].end 5911.17471875
transcript.pyannote[906].speaker SPEAKER_55
transcript.pyannote[906].start 5913.84096875
transcript.pyannote[906].end 5915.07284375
transcript.pyannote[907].speaker SPEAKER_55
transcript.pyannote[907].start 5915.78159375
transcript.pyannote[907].end 5916.76034375
transcript.pyannote[908].speaker SPEAKER_35
transcript.pyannote[908].start 5927.67846875
transcript.pyannote[908].end 5928.33659375
transcript.pyannote[909].speaker SPEAKER_35
transcript.pyannote[909].start 5930.47971875
transcript.pyannote[909].end 5964.48284375
transcript.pyannote[910].speaker SPEAKER_16
transcript.pyannote[910].start 5933.82096875
transcript.pyannote[910].end 5933.92221875
transcript.pyannote[911].speaker SPEAKER_66
transcript.pyannote[911].start 5933.92221875
transcript.pyannote[911].end 5933.97284375
transcript.pyannote[912].speaker SPEAKER_16
transcript.pyannote[912].start 5933.97284375
transcript.pyannote[912].end 5934.31034375
transcript.pyannote[913].speaker SPEAKER_66
transcript.pyannote[913].start 5939.89596875
transcript.pyannote[913].end 5939.91284375
transcript.pyannote[914].speaker SPEAKER_16
transcript.pyannote[914].start 5939.91284375
transcript.pyannote[914].end 5940.16596875
transcript.pyannote[915].speaker SPEAKER_66
transcript.pyannote[915].start 5940.16596875
transcript.pyannote[915].end 5940.19971875
transcript.pyannote[916].speaker SPEAKER_05
transcript.pyannote[916].start 5963.55471875
transcript.pyannote[916].end 5989.06971875
transcript.pyannote[917].speaker SPEAKER_35
transcript.pyannote[917].start 5986.75784375
transcript.pyannote[917].end 6035.72909375
transcript.pyannote[918].speaker SPEAKER_05
transcript.pyannote[918].start 5989.57596875
transcript.pyannote[918].end 5989.89659375
transcript.pyannote[919].speaker SPEAKER_52
transcript.pyannote[919].start 5997.57471875
transcript.pyannote[919].end 5998.06409375
transcript.pyannote[920].speaker SPEAKER_52
transcript.pyannote[920].start 5999.27909375
transcript.pyannote[920].end 5999.29596875
transcript.pyannote[921].speaker SPEAKER_52
transcript.pyannote[921].start 5999.36346875
transcript.pyannote[921].end 5999.54909375
transcript.pyannote[922].speaker SPEAKER_46
transcript.pyannote[922].start 6026.16096875
transcript.pyannote[922].end 6026.46471875
transcript.pyannote[923].speaker SPEAKER_16
transcript.pyannote[923].start 6026.46471875
transcript.pyannote[923].end 6026.48159375
transcript.pyannote[924].speaker SPEAKER_05
transcript.pyannote[924].start 6035.88096875
transcript.pyannote[924].end 6047.69346875
transcript.pyannote[925].speaker SPEAKER_35
transcript.pyannote[925].start 6041.44971875
transcript.pyannote[925].end 6074.65971875
transcript.pyannote[926].speaker SPEAKER_66
transcript.pyannote[926].start 6047.69346875
transcript.pyannote[926].end 6047.71034375
transcript.pyannote[927].speaker SPEAKER_05
transcript.pyannote[927].start 6055.74284375
transcript.pyannote[927].end 6055.77659375
transcript.pyannote[928].speaker SPEAKER_66
transcript.pyannote[928].start 6055.77659375
transcript.pyannote[928].end 6055.81034375
transcript.pyannote[929].speaker SPEAKER_40
transcript.pyannote[929].start 6055.81034375
transcript.pyannote[929].end 6056.04659375
transcript.pyannote[930].speaker SPEAKER_05
transcript.pyannote[930].start 6062.32409375
transcript.pyannote[930].end 6062.34096875
transcript.pyannote[931].speaker SPEAKER_40
transcript.pyannote[931].start 6062.34096875
transcript.pyannote[931].end 6063.92721875
transcript.pyannote[932].speaker SPEAKER_05
transcript.pyannote[932].start 6074.84534375
transcript.pyannote[932].end 6086.77596875
transcript.pyannote[933].speaker SPEAKER_35
transcript.pyannote[933].start 6086.16846875
transcript.pyannote[933].end 6094.43721875
transcript.pyannote[934].speaker SPEAKER_05
transcript.pyannote[934].start 6095.55096875
transcript.pyannote[934].end 6102.75659375
transcript.pyannote[935].speaker SPEAKER_35
transcript.pyannote[935].start 6101.44034375
transcript.pyannote[935].end 6101.89596875
transcript.pyannote[936].speaker SPEAKER_35
transcript.pyannote[936].start 6102.41909375
transcript.pyannote[936].end 6130.39784375
transcript.pyannote[937].speaker SPEAKER_66
transcript.pyannote[937].start 6130.39784375
transcript.pyannote[937].end 6130.44846875
transcript.pyannote[938].speaker SPEAKER_35
transcript.pyannote[938].start 6130.44846875
transcript.pyannote[938].end 6179.26784375
transcript.pyannote[939].speaker SPEAKER_05
transcript.pyannote[939].start 6168.67034375
transcript.pyannote[939].end 6168.97409375
transcript.pyannote[940].speaker SPEAKER_25
transcript.pyannote[940].start 6168.97409375
transcript.pyannote[940].end 6169.96971875
transcript.pyannote[941].speaker SPEAKER_52
transcript.pyannote[941].start 6169.96971875
transcript.pyannote[941].end 6170.03721875
transcript.pyannote[942].speaker SPEAKER_05
transcript.pyannote[942].start 6170.03721875
transcript.pyannote[942].end 6171.87659375
transcript.pyannote[943].speaker SPEAKER_05
transcript.pyannote[943].start 6172.95659375
transcript.pyannote[943].end 6173.49659375
transcript.pyannote[944].speaker SPEAKER_05
transcript.pyannote[944].start 6178.00221875
transcript.pyannote[944].end 6181.64721875
transcript.pyannote[945].speaker SPEAKER_35
transcript.pyannote[945].start 6181.78221875
transcript.pyannote[945].end 6212.44409375
transcript.pyannote[946].speaker SPEAKER_66
transcript.pyannote[946].start 6193.24034375
transcript.pyannote[946].end 6198.53909375
transcript.pyannote[947].speaker SPEAKER_66
transcript.pyannote[947].start 6204.05721875
transcript.pyannote[947].end 6204.39471875
transcript.pyannote[948].speaker SPEAKER_05
transcript.pyannote[948].start 6204.39471875
transcript.pyannote[948].end 6204.44534375
transcript.pyannote[949].speaker SPEAKER_66
transcript.pyannote[949].start 6204.44534375
transcript.pyannote[949].end 6204.47909375
transcript.pyannote[950].speaker SPEAKER_05
transcript.pyannote[950].start 6210.97596875
transcript.pyannote[950].end 6211.81971875
transcript.pyannote[951].speaker SPEAKER_05
transcript.pyannote[951].start 6212.61284375
transcript.pyannote[951].end 6213.05159375
transcript.pyannote[952].speaker SPEAKER_35
transcript.pyannote[952].start 6213.05159375
transcript.pyannote[952].end 6226.93971875
transcript.pyannote[953].speaker SPEAKER_05
transcript.pyannote[953].start 6214.70534375
transcript.pyannote[953].end 6216.20721875
transcript.pyannote[954].speaker SPEAKER_47
transcript.pyannote[954].start 6227.66534375
transcript.pyannote[954].end 6227.95221875
transcript.pyannote[955].speaker SPEAKER_35
transcript.pyannote[955].start 6227.95221875
transcript.pyannote[955].end 6261.07784375
transcript.pyannote[956].speaker SPEAKER_47
transcript.pyannote[956].start 6228.28971875
transcript.pyannote[956].end 6229.70721875
transcript.pyannote[957].speaker SPEAKER_47
transcript.pyannote[957].start 6261.76971875
transcript.pyannote[957].end 6272.08034375
transcript.pyannote[958].speaker SPEAKER_52
transcript.pyannote[958].start 6269.02596875
transcript.pyannote[958].end 6269.11034375
transcript.pyannote[959].speaker SPEAKER_35
transcript.pyannote[959].start 6270.88221875
transcript.pyannote[959].end 6271.96221875
transcript.pyannote[960].speaker SPEAKER_14
transcript.pyannote[960].start 6271.96221875
transcript.pyannote[960].end 6271.99596875
transcript.pyannote[961].speaker SPEAKER_47
transcript.pyannote[961].start 6272.85659375
transcript.pyannote[961].end 6280.75409375
transcript.pyannote[962].speaker SPEAKER_35
transcript.pyannote[962].start 6279.21846875
transcript.pyannote[962].end 6279.50534375
transcript.pyannote[963].speaker SPEAKER_35
transcript.pyannote[963].start 6279.74159375
transcript.pyannote[963].end 6285.42846875
transcript.pyannote[964].speaker SPEAKER_55
transcript.pyannote[964].start 6284.85471875
transcript.pyannote[964].end 6290.67659375
transcript.pyannote[965].speaker SPEAKER_55
transcript.pyannote[965].start 6290.77784375
transcript.pyannote[965].end 6292.26284375
transcript.pyannote[966].speaker SPEAKER_53
transcript.pyannote[966].start 6304.19346875
transcript.pyannote[966].end 6306.21846875
transcript.pyannote[967].speaker SPEAKER_59
transcript.pyannote[967].start 6306.31971875
transcript.pyannote[967].end 6308.12534375
transcript.pyannote[968].speaker SPEAKER_08
transcript.pyannote[968].start 6315.06096875
transcript.pyannote[968].end 6315.70221875
transcript.pyannote[969].speaker SPEAKER_53
transcript.pyannote[969].start 6316.15784375
transcript.pyannote[969].end 6319.70159375
transcript.pyannote[970].speaker SPEAKER_53
transcript.pyannote[970].start 6320.02221875
transcript.pyannote[970].end 6344.77784375
transcript.pyannote[971].speaker SPEAKER_08
transcript.pyannote[971].start 6345.45284375
transcript.pyannote[971].end 6347.30909375
transcript.pyannote[972].speaker SPEAKER_53
transcript.pyannote[972].start 6347.30909375
transcript.pyannote[972].end 6353.72159375
transcript.pyannote[973].speaker SPEAKER_08
transcript.pyannote[973].start 6347.32596875
transcript.pyannote[973].end 6347.35971875
transcript.pyannote[974].speaker SPEAKER_08
transcript.pyannote[974].start 6347.88284375
transcript.pyannote[974].end 6347.91659375
transcript.pyannote[975].speaker SPEAKER_08
transcript.pyannote[975].start 6347.95034375
transcript.pyannote[975].end 6349.57034375
transcript.pyannote[976].speaker SPEAKER_08
transcript.pyannote[976].start 6352.01721875
transcript.pyannote[976].end 6356.03346875
transcript.pyannote[977].speaker SPEAKER_53
transcript.pyannote[977].start 6356.03346875
transcript.pyannote[977].end 6357.04596875
transcript.pyannote[978].speaker SPEAKER_08
transcript.pyannote[978].start 6356.67471875
transcript.pyannote[978].end 6361.39971875
transcript.pyannote[979].speaker SPEAKER_08
transcript.pyannote[979].start 6361.60221875
transcript.pyannote[979].end 6364.26846875
transcript.pyannote[980].speaker SPEAKER_08
transcript.pyannote[980].start 6364.70721875
transcript.pyannote[980].end 6376.30034375
transcript.pyannote[981].speaker SPEAKER_66
transcript.pyannote[981].start 6370.59659375
transcript.pyannote[981].end 6370.63034375
transcript.pyannote[982].speaker SPEAKER_53
transcript.pyannote[982].start 6370.63034375
transcript.pyannote[982].end 6371.42346875
transcript.pyannote[983].speaker SPEAKER_53
transcript.pyannote[983].start 6374.59596875
transcript.pyannote[983].end 6417.94784375
transcript.pyannote[984].speaker SPEAKER_66
transcript.pyannote[984].start 6391.23471875
transcript.pyannote[984].end 6392.68596875
transcript.pyannote[985].speaker SPEAKER_52
transcript.pyannote[985].start 6394.74471875
transcript.pyannote[985].end 6395.62221875
transcript.pyannote[986].speaker SPEAKER_52
transcript.pyannote[986].start 6401.17409375
transcript.pyannote[986].end 6401.86596875
transcript.pyannote[987].speaker SPEAKER_52
transcript.pyannote[987].start 6402.64221875
transcript.pyannote[987].end 6402.77721875
transcript.pyannote[988].speaker SPEAKER_08
transcript.pyannote[988].start 6402.77721875
transcript.pyannote[988].end 6404.78534375
transcript.pyannote[989].speaker SPEAKER_08
transcript.pyannote[989].start 6407.16471875
transcript.pyannote[989].end 6407.80596875
transcript.pyannote[990].speaker SPEAKER_08
transcript.pyannote[990].start 6408.85221875
transcript.pyannote[990].end 6409.29096875
transcript.pyannote[991].speaker SPEAKER_08
transcript.pyannote[991].start 6411.58596875
transcript.pyannote[991].end 6412.66596875
transcript.pyannote[992].speaker SPEAKER_08
transcript.pyannote[992].start 6418.16721875
transcript.pyannote[992].end 6420.29346875
transcript.pyannote[993].speaker SPEAKER_08
transcript.pyannote[993].start 6420.98534375
transcript.pyannote[993].end 6428.30909375
transcript.pyannote[994].speaker SPEAKER_53
transcript.pyannote[994].start 6423.60096875
transcript.pyannote[994].end 6424.07346875
transcript.pyannote[995].speaker SPEAKER_53
transcript.pyannote[995].start 6425.22096875
transcript.pyannote[995].end 6425.65971875
transcript.pyannote[996].speaker SPEAKER_53
transcript.pyannote[996].start 6428.02221875
transcript.pyannote[996].end 6437.42159375
transcript.pyannote[997].speaker SPEAKER_08
transcript.pyannote[997].start 6437.92784375
transcript.pyannote[997].end 6448.54221875
transcript.pyannote[998].speaker SPEAKER_53
transcript.pyannote[998].start 6445.99409375
transcript.pyannote[998].end 6449.92596875
transcript.pyannote[999].speaker SPEAKER_53
transcript.pyannote[999].start 6450.46596875
transcript.pyannote[999].end 6458.22846875
transcript.pyannote[1000].speaker SPEAKER_08
transcript.pyannote[1000].start 6453.53721875
transcript.pyannote[1000].end 6455.19096875
transcript.pyannote[1001].speaker SPEAKER_08
transcript.pyannote[1001].start 6456.22034375
transcript.pyannote[1001].end 6457.01346875
transcript.pyannote[1002].speaker SPEAKER_08
transcript.pyannote[1002].start 6458.22846875
transcript.pyannote[1002].end 6463.91534375
transcript.pyannote[1003].speaker SPEAKER_53
transcript.pyannote[1003].start 6460.08471875
transcript.pyannote[1003].end 6461.08034375
transcript.pyannote[1004].speaker SPEAKER_53
transcript.pyannote[1004].start 6463.24034375
transcript.pyannote[1004].end 6471.57659375
transcript.pyannote[1005].speaker SPEAKER_47
transcript.pyannote[1005].start 6471.47534375
transcript.pyannote[1005].end 6482.79846875
transcript.pyannote[1006].speaker SPEAKER_53
transcript.pyannote[1006].start 6483.06846875
transcript.pyannote[1006].end 6484.13159375
transcript.pyannote[1007].speaker SPEAKER_47
transcript.pyannote[1007].start 6484.26659375
transcript.pyannote[1007].end 6486.83159375
transcript.pyannote[1008].speaker SPEAKER_53
transcript.pyannote[1008].start 6485.26221875
transcript.pyannote[1008].end 6485.80221875
transcript.pyannote[1009].speaker SPEAKER_53
transcript.pyannote[1009].start 6486.37596875
transcript.pyannote[1009].end 6488.53596875
transcript.pyannote[1010].speaker SPEAKER_47
transcript.pyannote[1010].start 6487.03409375
transcript.pyannote[1010].end 6487.70909375
transcript.pyannote[1011].speaker SPEAKER_53
transcript.pyannote[1011].start 6491.80971875
transcript.pyannote[1011].end 6492.40034375
transcript.pyannote[1012].speaker SPEAKER_53
transcript.pyannote[1012].start 6494.56034375
transcript.pyannote[1012].end 6496.38284375
transcript.pyannote[1013].speaker SPEAKER_58
transcript.pyannote[1013].start 6505.24221875
transcript.pyannote[1013].end 6505.39409375
transcript.pyannote[1014].speaker SPEAKER_53
transcript.pyannote[1014].start 6505.96784375
transcript.pyannote[1014].end 6537.10221875
transcript.pyannote[1015].speaker SPEAKER_05
transcript.pyannote[1015].start 6537.52409375
transcript.pyannote[1015].end 6543.76784375
transcript.pyannote[1016].speaker SPEAKER_53
transcript.pyannote[1016].start 6542.43471875
transcript.pyannote[1016].end 6543.71721875
transcript.pyannote[1017].speaker SPEAKER_53
transcript.pyannote[1017].start 6543.76784375
transcript.pyannote[1017].end 6546.33284375
transcript.pyannote[1018].speaker SPEAKER_05
transcript.pyannote[1018].start 6544.27409375
transcript.pyannote[1018].end 6544.88159375
transcript.pyannote[1019].speaker SPEAKER_05
transcript.pyannote[1019].start 6545.03346875
transcript.pyannote[1019].end 6552.64409375
transcript.pyannote[1020].speaker SPEAKER_53
transcript.pyannote[1020].start 6552.05346875
transcript.pyannote[1020].end 6556.42409375
transcript.pyannote[1021].speaker SPEAKER_05
transcript.pyannote[1021].start 6555.74909375
transcript.pyannote[1021].end 6555.90096875
transcript.pyannote[1022].speaker SPEAKER_05
transcript.pyannote[1022].start 6558.39846875
transcript.pyannote[1022].end 6561.52034375
transcript.pyannote[1023].speaker SPEAKER_53
transcript.pyannote[1023].start 6561.52034375
transcript.pyannote[1023].end 6569.13096875
transcript.pyannote[1024].speaker SPEAKER_05
transcript.pyannote[1024].start 6566.02596875
transcript.pyannote[1024].end 6566.48159375
transcript.pyannote[1025].speaker SPEAKER_05
transcript.pyannote[1025].start 6567.84846875
transcript.pyannote[1025].end 6579.17159375
transcript.pyannote[1026].speaker SPEAKER_53
transcript.pyannote[1026].start 6577.06221875
transcript.pyannote[1026].end 6584.13284375
transcript.pyannote[1027].speaker SPEAKER_05
transcript.pyannote[1027].start 6583.10346875
transcript.pyannote[1027].end 6587.25471875
transcript.pyannote[1028].speaker SPEAKER_53
transcript.pyannote[1028].start 6585.02721875
transcript.pyannote[1028].end 6602.27346875
transcript.pyannote[1029].speaker SPEAKER_05
transcript.pyannote[1029].start 6588.89159375
transcript.pyannote[1029].end 6589.17846875
transcript.pyannote[1030].speaker SPEAKER_66
transcript.pyannote[1030].start 6589.17846875
transcript.pyannote[1030].end 6589.21221875
transcript.pyannote[1031].speaker SPEAKER_66
transcript.pyannote[1031].start 6595.33784375
transcript.pyannote[1031].end 6595.54034375
transcript.pyannote[1032].speaker SPEAKER_53
transcript.pyannote[1032].start 6602.50971875
transcript.pyannote[1032].end 6605.42909375
transcript.pyannote[1033].speaker SPEAKER_53
transcript.pyannote[1033].start 6606.05346875
transcript.pyannote[1033].end 6611.85846875
transcript.pyannote[1034].speaker SPEAKER_53
transcript.pyannote[1034].start 6612.28034375
transcript.pyannote[1034].end 6616.95471875
transcript.pyannote[1035].speaker SPEAKER_05
transcript.pyannote[1035].start 6616.41471875
transcript.pyannote[1035].end 6623.09721875
transcript.pyannote[1036].speaker SPEAKER_53
transcript.pyannote[1036].start 6623.06346875
transcript.pyannote[1036].end 6624.86909375
transcript.pyannote[1037].speaker SPEAKER_05
transcript.pyannote[1037].start 6623.43471875
transcript.pyannote[1037].end 6625.91534375
transcript.pyannote[1038].speaker SPEAKER_53
transcript.pyannote[1038].start 6625.20659375
transcript.pyannote[1038].end 6643.12784375
transcript.pyannote[1039].speaker SPEAKER_05
transcript.pyannote[1039].start 6633.76221875
transcript.pyannote[1039].end 6635.97284375
transcript.pyannote[1040].speaker SPEAKER_66
transcript.pyannote[1040].start 6635.97284375
transcript.pyannote[1040].end 6637.03596875
transcript.pyannote[1041].speaker SPEAKER_59
transcript.pyannote[1041].start 6637.03596875
transcript.pyannote[1041].end 6638.92596875
transcript.pyannote[1042].speaker SPEAKER_05
transcript.pyannote[1042].start 6643.39784375
transcript.pyannote[1042].end 6643.41471875
transcript.pyannote[1043].speaker SPEAKER_59
transcript.pyannote[1043].start 6643.41471875
transcript.pyannote[1043].end 6644.61284375
transcript.pyannote[1044].speaker SPEAKER_53
transcript.pyannote[1044].start 6643.75221875
transcript.pyannote[1044].end 6645.99659375
transcript.pyannote[1045].speaker SPEAKER_05
transcript.pyannote[1045].start 6644.61284375
transcript.pyannote[1045].end 6645.06846875
transcript.pyannote[1046].speaker SPEAKER_59
transcript.pyannote[1046].start 6645.06846875
transcript.pyannote[1046].end 6645.13596875
transcript.pyannote[1047].speaker SPEAKER_05
transcript.pyannote[1047].start 6646.62096875
transcript.pyannote[1047].end 6646.63784375
transcript.pyannote[1048].speaker SPEAKER_59
transcript.pyannote[1048].start 6646.63784375
transcript.pyannote[1048].end 6646.97534375
transcript.pyannote[1049].speaker SPEAKER_05
transcript.pyannote[1049].start 6646.97534375
transcript.pyannote[1049].end 6648.02159375
transcript.pyannote[1050].speaker SPEAKER_53
transcript.pyannote[1050].start 6647.54909375
transcript.pyannote[1050].end 6647.98784375
transcript.pyannote[1051].speaker SPEAKER_55
transcript.pyannote[1051].start 6648.02159375
transcript.pyannote[1051].end 6648.08909375
transcript.pyannote[1052].speaker SPEAKER_55
transcript.pyannote[1052].start 6650.45159375
transcript.pyannote[1052].end 6651.58221875
transcript.pyannote[1053].speaker SPEAKER_55
transcript.pyannote[1053].start 6652.59471875
transcript.pyannote[1053].end 6655.91909375
transcript.pyannote[1054].speaker SPEAKER_60
transcript.pyannote[1054].start 6653.48909375
transcript.pyannote[1054].end 6653.75909375
transcript.pyannote[1055].speaker SPEAKER_53
transcript.pyannote[1055].start 6653.75909375
transcript.pyannote[1055].end 6654.29909375
transcript.pyannote[1056].speaker SPEAKER_60
transcript.pyannote[1056].start 6654.29909375
transcript.pyannote[1056].end 6654.92346875
transcript.pyannote[1057].speaker SPEAKER_60
transcript.pyannote[1057].start 6655.49721875
transcript.pyannote[1057].end 6655.86846875
transcript.pyannote[1058].speaker SPEAKER_60
transcript.pyannote[1058].start 6655.91909375
transcript.pyannote[1058].end 6656.13846875
transcript.pyannote[1059].speaker SPEAKER_53
transcript.pyannote[1059].start 6662.21346875
transcript.pyannote[1059].end 6685.56846875
transcript.pyannote[1060].speaker SPEAKER_41
transcript.pyannote[1060].start 6684.58971875
transcript.pyannote[1060].end 6693.83721875
transcript.pyannote[1061].speaker SPEAKER_53
transcript.pyannote[1061].start 6691.59284375
transcript.pyannote[1061].end 6696.38534375
transcript.pyannote[1062].speaker SPEAKER_41
transcript.pyannote[1062].start 6694.54596875
transcript.pyannote[1062].end 6695.30534375
transcript.pyannote[1063].speaker SPEAKER_41
transcript.pyannote[1063].start 6695.54159375
transcript.pyannote[1063].end 6701.41409375
transcript.pyannote[1064].speaker SPEAKER_53
transcript.pyannote[1064].start 6697.34721875
transcript.pyannote[1064].end 6697.75221875
transcript.pyannote[1065].speaker SPEAKER_53
transcript.pyannote[1065].start 6702.13971875
transcript.pyannote[1065].end 6704.94096875
transcript.pyannote[1066].speaker SPEAKER_41
transcript.pyannote[1066].start 6704.19846875
transcript.pyannote[1066].end 6708.97409375
transcript.pyannote[1067].speaker SPEAKER_53
transcript.pyannote[1067].start 6705.44721875
transcript.pyannote[1067].end 6705.81846875
transcript.pyannote[1068].speaker SPEAKER_53
transcript.pyannote[1068].start 6706.99971875
transcript.pyannote[1068].end 6721.37721875
transcript.pyannote[1069].speaker SPEAKER_41
transcript.pyannote[1069].start 6709.85159375
transcript.pyannote[1069].end 6712.50096875
transcript.pyannote[1070].speaker SPEAKER_41
transcript.pyannote[1070].start 6713.05784375
transcript.pyannote[1070].end 6713.81721875
transcript.pyannote[1071].speaker SPEAKER_41
transcript.pyannote[1071].start 6716.55096875
transcript.pyannote[1071].end 6718.67721875
transcript.pyannote[1072].speaker SPEAKER_41
transcript.pyannote[1072].start 6719.89221875
transcript.pyannote[1072].end 6743.75346875
transcript.pyannote[1073].speaker SPEAKER_53
transcript.pyannote[1073].start 6724.48221875
transcript.pyannote[1073].end 6725.78159375
transcript.pyannote[1074].speaker SPEAKER_53
transcript.pyannote[1074].start 6736.98659375
transcript.pyannote[1074].end 6745.96409375
transcript.pyannote[1075].speaker SPEAKER_55
transcript.pyannote[1075].start 6743.75346875
transcript.pyannote[1075].end 6743.78721875
transcript.pyannote[1076].speaker SPEAKER_41
transcript.pyannote[1076].start 6743.78721875
transcript.pyannote[1076].end 6743.80409375
transcript.pyannote[1077].speaker SPEAKER_55
transcript.pyannote[1077].start 6743.80409375
transcript.pyannote[1077].end 6743.85471875
transcript.pyannote[1078].speaker SPEAKER_41
transcript.pyannote[1078].start 6743.85471875
transcript.pyannote[1078].end 6743.95596875
transcript.pyannote[1079].speaker SPEAKER_55
transcript.pyannote[1079].start 6743.95596875
transcript.pyannote[1079].end 6744.36096875
transcript.pyannote[1080].speaker SPEAKER_41
transcript.pyannote[1080].start 6744.36096875
transcript.pyannote[1080].end 6744.49596875
transcript.pyannote[1081].speaker SPEAKER_55
transcript.pyannote[1081].start 6744.49596875
transcript.pyannote[1081].end 6744.54659375
transcript.pyannote[1082].speaker SPEAKER_55
transcript.pyannote[1082].start 6745.96409375
transcript.pyannote[1082].end 6746.04846875
transcript.pyannote[1083].speaker SPEAKER_53
transcript.pyannote[1083].start 6746.04846875
transcript.pyannote[1083].end 6746.23409375
transcript.pyannote[1084].speaker SPEAKER_55
transcript.pyannote[1084].start 6746.23409375
transcript.pyannote[1084].end 6746.80784375
transcript.pyannote[1085].speaker SPEAKER_41
transcript.pyannote[1085].start 6746.23409375
transcript.pyannote[1085].end 6747.56721875
transcript.pyannote[1086].speaker SPEAKER_53
transcript.pyannote[1086].start 6746.80784375
transcript.pyannote[1086].end 6746.84159375
transcript.pyannote[1087].speaker SPEAKER_55
transcript.pyannote[1087].start 6746.84159375
transcript.pyannote[1087].end 6747.55034375
transcript.pyannote[1088].speaker SPEAKER_55
transcript.pyannote[1088].start 6747.56721875
transcript.pyannote[1088].end 6748.36034375
transcript.pyannote[1089].speaker SPEAKER_55
transcript.pyannote[1089].start 6749.60909375
transcript.pyannote[1089].end 6753.94596875
transcript.pyannote[1090].speaker SPEAKER_30
transcript.pyannote[1090].start 6764.03721875
transcript.pyannote[1090].end 6769.48784375
transcript.pyannote[1091].speaker SPEAKER_66
transcript.pyannote[1091].start 6767.63159375
transcript.pyannote[1091].end 6769.40346875
transcript.pyannote[1092].speaker SPEAKER_66
transcript.pyannote[1092].start 6769.48784375
transcript.pyannote[1092].end 6769.57221875
transcript.pyannote[1093].speaker SPEAKER_58
transcript.pyannote[1093].start 6769.57221875
transcript.pyannote[1093].end 6769.58909375
transcript.pyannote[1094].speaker SPEAKER_66
transcript.pyannote[1094].start 6769.58909375
transcript.pyannote[1094].end 6769.63971875
transcript.pyannote[1095].speaker SPEAKER_66
transcript.pyannote[1095].start 6769.90971875
transcript.pyannote[1095].end 6769.94346875
transcript.pyannote[1096].speaker SPEAKER_58
transcript.pyannote[1096].start 6769.94346875
transcript.pyannote[1096].end 6769.96034375
transcript.pyannote[1097].speaker SPEAKER_30
transcript.pyannote[1097].start 6769.96034375
transcript.pyannote[1097].end 6769.97721875
transcript.pyannote[1098].speaker SPEAKER_58
transcript.pyannote[1098].start 6769.97721875
transcript.pyannote[1098].end 6770.02784375
transcript.pyannote[1099].speaker SPEAKER_30
transcript.pyannote[1099].start 6770.02784375
transcript.pyannote[1099].end 6772.99784375
transcript.pyannote[1100].speaker SPEAKER_30
transcript.pyannote[1100].start 6773.14971875
transcript.pyannote[1100].end 6779.86596875
transcript.pyannote[1101].speaker SPEAKER_57
transcript.pyannote[1101].start 6775.93409375
transcript.pyannote[1101].end 6776.72721875
transcript.pyannote[1102].speaker SPEAKER_57
transcript.pyannote[1102].start 6778.41471875
transcript.pyannote[1102].end 6778.76909375
transcript.pyannote[1103].speaker SPEAKER_30
transcript.pyannote[1103].start 6781.51971875
transcript.pyannote[1103].end 6782.34659375
transcript.pyannote[1104].speaker SPEAKER_57
transcript.pyannote[1104].start 6781.62096875
transcript.pyannote[1104].end 6782.26221875
transcript.pyannote[1105].speaker SPEAKER_57
transcript.pyannote[1105].start 6782.34659375
transcript.pyannote[1105].end 6782.56596875
transcript.pyannote[1106].speaker SPEAKER_30
transcript.pyannote[1106].start 6782.56596875
transcript.pyannote[1106].end 6797.48346875
transcript.pyannote[1107].speaker SPEAKER_30
transcript.pyannote[1107].start 6798.78284375
transcript.pyannote[1107].end 6801.09471875
transcript.pyannote[1108].speaker SPEAKER_47
transcript.pyannote[1108].start 6801.88784375
transcript.pyannote[1108].end 6807.50721875
transcript.pyannote[1109].speaker SPEAKER_30
transcript.pyannote[1109].start 6807.50721875
transcript.pyannote[1109].end 6838.55721875
transcript.pyannote[1110].speaker SPEAKER_47
transcript.pyannote[1110].start 6838.67534375
transcript.pyannote[1110].end 6850.09971875
transcript.pyannote[1111].speaker SPEAKER_30
transcript.pyannote[1111].start 6846.58971875
transcript.pyannote[1111].end 6847.02846875
transcript.pyannote[1112].speaker SPEAKER_30
transcript.pyannote[1112].start 6850.01534375
transcript.pyannote[1112].end 6852.00659375
transcript.pyannote[1113].speaker SPEAKER_47
transcript.pyannote[1113].start 6850.45409375
transcript.pyannote[1113].end 6850.84221875
transcript.pyannote[1114].speaker SPEAKER_47
transcript.pyannote[1114].start 6851.50034375
transcript.pyannote[1114].end 6853.39034375
transcript.pyannote[1115].speaker SPEAKER_30
transcript.pyannote[1115].start 6852.90096875
transcript.pyannote[1115].end 6884.52471875
transcript.pyannote[1116].speaker SPEAKER_52
transcript.pyannote[1116].start 6877.13346875
transcript.pyannote[1116].end 6877.16721875
transcript.pyannote[1117].speaker SPEAKER_47
transcript.pyannote[1117].start 6877.16721875
transcript.pyannote[1117].end 6879.02346875
transcript.pyannote[1118].speaker SPEAKER_47
transcript.pyannote[1118].start 6884.98034375
transcript.pyannote[1118].end 6899.91471875
transcript.pyannote[1119].speaker SPEAKER_30
transcript.pyannote[1119].start 6900.08346875
transcript.pyannote[1119].end 6922.30784375
transcript.pyannote[1120].speaker SPEAKER_30
transcript.pyannote[1120].start 6923.15159375
transcript.pyannote[1120].end 6930.59346875
transcript.pyannote[1121].speaker SPEAKER_47
transcript.pyannote[1121].start 6931.79159375
transcript.pyannote[1121].end 6943.03034375
transcript.pyannote[1122].speaker SPEAKER_30
transcript.pyannote[1122].start 6938.44034375
transcript.pyannote[1122].end 6938.92971875
transcript.pyannote[1123].speaker SPEAKER_30
transcript.pyannote[1123].start 6941.22471875
transcript.pyannote[1123].end 6944.51534375
transcript.pyannote[1124].speaker SPEAKER_47
transcript.pyannote[1124].start 6943.89096875
transcript.pyannote[1124].end 6952.96971875
transcript.pyannote[1125].speaker SPEAKER_30
transcript.pyannote[1125].start 6949.54409375
transcript.pyannote[1125].end 6968.98409375
transcript.pyannote[1126].speaker SPEAKER_47
transcript.pyannote[1126].start 6953.10471875
transcript.pyannote[1126].end 6953.47596875
transcript.pyannote[1127].speaker SPEAKER_30
transcript.pyannote[1127].start 6969.40596875
transcript.pyannote[1127].end 6993.43596875
transcript.pyannote[1128].speaker SPEAKER_47
transcript.pyannote[1128].start 6993.67221875
transcript.pyannote[1128].end 7002.76784375
transcript.pyannote[1129].speaker SPEAKER_30
transcript.pyannote[1129].start 6998.11034375
transcript.pyannote[1129].end 6999.71346875
transcript.pyannote[1130].speaker SPEAKER_30
transcript.pyannote[1130].start 7002.73409375
transcript.pyannote[1130].end 7008.70784375
transcript.pyannote[1131].speaker SPEAKER_47
transcript.pyannote[1131].start 7008.70784375
transcript.pyannote[1131].end 7011.25596875
transcript.pyannote[1132].speaker SPEAKER_30
transcript.pyannote[1132].start 7011.35721875
transcript.pyannote[1132].end 7023.64221875
transcript.pyannote[1133].speaker SPEAKER_52
transcript.pyannote[1133].start 7022.69721875
transcript.pyannote[1133].end 7023.23721875
transcript.pyannote[1134].speaker SPEAKER_30
transcript.pyannote[1134].start 7024.09784375
transcript.pyannote[1134].end 7026.27471875
transcript.pyannote[1135].speaker SPEAKER_30
transcript.pyannote[1135].start 7027.69221875
transcript.pyannote[1135].end 7033.64909375
transcript.pyannote[1136].speaker SPEAKER_30
transcript.pyannote[1136].start 7034.76284375
transcript.pyannote[1136].end 7039.89284375
transcript.pyannote[1137].speaker SPEAKER_30
transcript.pyannote[1137].start 7041.15846875
transcript.pyannote[1137].end 7060.51409375
transcript.pyannote[1138].speaker SPEAKER_68
transcript.pyannote[1138].start 7060.81784375
transcript.pyannote[1138].end 7087.24409375
transcript.pyannote[1139].speaker SPEAKER_30
transcript.pyannote[1139].start 7086.78846875
transcript.pyannote[1139].end 7099.05659375
transcript.pyannote[1140].speaker SPEAKER_30
transcript.pyannote[1140].start 7099.46159375
transcript.pyannote[1140].end 7122.25971875
transcript.pyannote[1141].speaker SPEAKER_08
transcript.pyannote[1141].start 7122.36096875
transcript.pyannote[1141].end 7139.25284375
transcript.pyannote[1142].speaker SPEAKER_08
transcript.pyannote[1142].start 7139.52284375
transcript.pyannote[1142].end 7145.76659375
transcript.pyannote[1143].speaker SPEAKER_30
transcript.pyannote[1143].start 7144.38284375
transcript.pyannote[1143].end 7160.43096875
transcript.pyannote[1144].speaker SPEAKER_55
transcript.pyannote[1144].start 7157.08971875
transcript.pyannote[1144].end 7157.24159375
transcript.pyannote[1145].speaker SPEAKER_55
transcript.pyannote[1145].start 7158.64221875
transcript.pyannote[1145].end 7161.76409375
transcript.pyannote[1146].speaker SPEAKER_30
transcript.pyannote[1146].start 7161.76409375
transcript.pyannote[1146].end 7161.78096875
transcript.pyannote[1147].speaker SPEAKER_55
transcript.pyannote[1147].start 7161.78096875
transcript.pyannote[1147].end 7161.84846875
transcript.pyannote[1148].speaker SPEAKER_30
transcript.pyannote[1148].start 7161.84846875
transcript.pyannote[1148].end 7161.89909375
transcript.pyannote[1149].speaker SPEAKER_55
transcript.pyannote[1149].start 7161.89909375
transcript.pyannote[1149].end 7161.91596875
transcript.pyannote[1150].speaker SPEAKER_30
transcript.pyannote[1150].start 7161.91596875
transcript.pyannote[1150].end 7161.96659375
transcript.pyannote[1151].speaker SPEAKER_55
transcript.pyannote[1151].start 7161.96659375
transcript.pyannote[1151].end 7162.18596875
transcript.pyannote[1152].speaker SPEAKER_55
transcript.pyannote[1152].start 7163.04659375
transcript.pyannote[1152].end 7166.37096875
transcript.pyannote[1153].speaker SPEAKER_09
transcript.pyannote[1153].start 7170.97784375
transcript.pyannote[1153].end 7173.17159375
transcript.pyannote[1154].speaker SPEAKER_57
transcript.pyannote[1154].start 7173.79596875
transcript.pyannote[1154].end 7175.28096875
transcript.pyannote[1155].speaker SPEAKER_57
transcript.pyannote[1155].start 7179.41534375
transcript.pyannote[1155].end 7179.43221875
transcript.pyannote[1156].speaker SPEAKER_08
transcript.pyannote[1156].start 7179.43221875
transcript.pyannote[1156].end 7179.98909375
transcript.pyannote[1157].speaker SPEAKER_09
transcript.pyannote[1157].start 7179.85409375
transcript.pyannote[1157].end 7193.21909375
transcript.pyannote[1158].speaker SPEAKER_08
transcript.pyannote[1158].start 7185.28784375
transcript.pyannote[1158].end 7186.30034375
transcript.pyannote[1159].speaker SPEAKER_52
transcript.pyannote[1159].start 7186.30034375
transcript.pyannote[1159].end 7186.31721875
transcript.pyannote[1160].speaker SPEAKER_08
transcript.pyannote[1160].start 7186.94159375
transcript.pyannote[1160].end 7187.02596875
transcript.pyannote[1161].speaker SPEAKER_66
transcript.pyannote[1161].start 7187.02596875
transcript.pyannote[1161].end 7187.43096875
transcript.pyannote[1162].speaker SPEAKER_66
transcript.pyannote[1162].start 7188.19034375
transcript.pyannote[1162].end 7188.69659375
transcript.pyannote[1163].speaker SPEAKER_09
transcript.pyannote[1163].start 7193.42159375
transcript.pyannote[1163].end 7243.06784375
transcript.pyannote[1164].speaker SPEAKER_52
transcript.pyannote[1164].start 7201.33596875
transcript.pyannote[1164].end 7201.74096875
transcript.pyannote[1165].speaker SPEAKER_09
transcript.pyannote[1165].start 7243.40534375
transcript.pyannote[1165].end 7303.19346875
transcript.pyannote[1166].speaker SPEAKER_08
transcript.pyannote[1166].start 7304.18909375
transcript.pyannote[1166].end 7312.60971875
transcript.pyannote[1167].speaker SPEAKER_09
transcript.pyannote[1167].start 7308.54284375
transcript.pyannote[1167].end 7309.11659375
transcript.pyannote[1168].speaker SPEAKER_08
transcript.pyannote[1168].start 7312.87971875
transcript.pyannote[1168].end 7314.01034375
transcript.pyannote[1169].speaker SPEAKER_08
transcript.pyannote[1169].start 7314.34784375
transcript.pyannote[1169].end 7326.83534375
transcript.pyannote[1170].speaker SPEAKER_08
transcript.pyannote[1170].start 7327.00409375
transcript.pyannote[1170].end 7343.22096875
transcript.pyannote[1171].speaker SPEAKER_09
transcript.pyannote[1171].start 7334.15909375
transcript.pyannote[1171].end 7334.37846875
transcript.pyannote[1172].speaker SPEAKER_09
transcript.pyannote[1172].start 7343.32221875
transcript.pyannote[1172].end 7403.76846875
transcript.pyannote[1173].speaker SPEAKER_08
transcript.pyannote[1173].start 7347.38909375
transcript.pyannote[1173].end 7348.30034375
transcript.pyannote[1174].speaker SPEAKER_66
transcript.pyannote[1174].start 7356.68721875
transcript.pyannote[1174].end 7357.09221875
transcript.pyannote[1175].speaker SPEAKER_66
transcript.pyannote[1175].start 7358.29034375
transcript.pyannote[1175].end 7358.62784375
transcript.pyannote[1176].speaker SPEAKER_66
transcript.pyannote[1176].start 7358.69534375
transcript.pyannote[1176].end 7358.83034375
transcript.pyannote[1177].speaker SPEAKER_52
transcript.pyannote[1177].start 7380.95346875
transcript.pyannote[1177].end 7380.97034375
transcript.pyannote[1178].speaker SPEAKER_08
transcript.pyannote[1178].start 7380.97034375
transcript.pyannote[1178].end 7381.03784375
transcript.pyannote[1179].speaker SPEAKER_66
transcript.pyannote[1179].start 7381.03784375
transcript.pyannote[1179].end 7383.23159375
transcript.pyannote[1180].speaker SPEAKER_66
transcript.pyannote[1180].start 7394.31846875
transcript.pyannote[1180].end 7394.40284375
transcript.pyannote[1181].speaker SPEAKER_52
transcript.pyannote[1181].start 7394.43659375
transcript.pyannote[1181].end 7394.48721875
transcript.pyannote[1182].speaker SPEAKER_09
transcript.pyannote[1182].start 7404.22409375
transcript.pyannote[1182].end 7404.83159375
transcript.pyannote[1183].speaker SPEAKER_66
transcript.pyannote[1183].start 7405.37159375
transcript.pyannote[1183].end 7405.45596875
transcript.pyannote[1184].speaker SPEAKER_09
transcript.pyannote[1184].start 7405.45596875
transcript.pyannote[1184].end 7409.74221875
transcript.pyannote[1185].speaker SPEAKER_08
transcript.pyannote[1185].start 7409.74221875
transcript.pyannote[1185].end 7414.16346875
transcript.pyannote[1186].speaker SPEAKER_09
transcript.pyannote[1186].start 7410.70409375
transcript.pyannote[1186].end 7411.04159375
transcript.pyannote[1187].speaker SPEAKER_09
transcript.pyannote[1187].start 7414.16346875
transcript.pyannote[1187].end 7416.61034375
transcript.pyannote[1188].speaker SPEAKER_09
transcript.pyannote[1188].start 7416.81284375
transcript.pyannote[1188].end 7427.37659375
transcript.pyannote[1189].speaker SPEAKER_08
transcript.pyannote[1189].start 7416.99846875
transcript.pyannote[1189].end 7418.06159375
transcript.pyannote[1190].speaker SPEAKER_08
transcript.pyannote[1190].start 7419.36096875
transcript.pyannote[1190].end 7419.58034375
transcript.pyannote[1191].speaker SPEAKER_08
transcript.pyannote[1191].start 7422.09471875
transcript.pyannote[1191].end 7423.00596875
transcript.pyannote[1192].speaker SPEAKER_08
transcript.pyannote[1192].start 7426.83659375
transcript.pyannote[1192].end 7429.97534375
transcript.pyannote[1193].speaker SPEAKER_09
transcript.pyannote[1193].start 7429.97534375
transcript.pyannote[1193].end 7454.07284375
transcript.pyannote[1194].speaker SPEAKER_52
transcript.pyannote[1194].start 7452.35159375
transcript.pyannote[1194].end 7452.72284375
transcript.pyannote[1195].speaker SPEAKER_44
transcript.pyannote[1195].start 7452.72284375
transcript.pyannote[1195].end 7452.97596875
transcript.pyannote[1196].speaker SPEAKER_52
transcript.pyannote[1196].start 7452.97596875
transcript.pyannote[1196].end 7453.19534375
transcript.pyannote[1197].speaker SPEAKER_09
transcript.pyannote[1197].start 7454.68034375
transcript.pyannote[1197].end 7510.57034375
transcript.pyannote[1198].speaker SPEAKER_52
transcript.pyannote[1198].start 7481.89971875
transcript.pyannote[1198].end 7482.62534375
transcript.pyannote[1199].speaker SPEAKER_08
transcript.pyannote[1199].start 7509.10221875
transcript.pyannote[1199].end 7518.38346875
transcript.pyannote[1200].speaker SPEAKER_09
transcript.pyannote[1200].start 7516.56096875
transcript.pyannote[1200].end 7516.79721875
transcript.pyannote[1201].speaker SPEAKER_09
transcript.pyannote[1201].start 7518.38346875
transcript.pyannote[1201].end 7518.80534375
transcript.pyannote[1202].speaker SPEAKER_08
transcript.pyannote[1202].start 7518.75471875
transcript.pyannote[1202].end 7518.82221875
transcript.pyannote[1203].speaker SPEAKER_55
transcript.pyannote[1203].start 7518.80534375
transcript.pyannote[1203].end 7521.06659375
transcript.pyannote[1204].speaker SPEAKER_09
transcript.pyannote[1204].start 7518.82221875
transcript.pyannote[1204].end 7519.09221875
transcript.pyannote[1205].speaker SPEAKER_55
transcript.pyannote[1205].start 7521.60659375
transcript.pyannote[1205].end 7523.88471875
transcript.pyannote[1206].speaker SPEAKER_44
transcript.pyannote[1206].start 7531.47846875
transcript.pyannote[1206].end 7537.06409375
transcript.pyannote[1207].speaker SPEAKER_57
transcript.pyannote[1207].start 7534.70159375
transcript.pyannote[1207].end 7535.73096875
transcript.pyannote[1208].speaker SPEAKER_57
transcript.pyannote[1208].start 7537.35096875
transcript.pyannote[1208].end 7539.03846875
transcript.pyannote[1209].speaker SPEAKER_26
transcript.pyannote[1209].start 7549.60221875
transcript.pyannote[1209].end 7550.37846875
transcript.pyannote[1210].speaker SPEAKER_44
transcript.pyannote[1210].start 7550.49659375
transcript.pyannote[1210].end 7570.64534375
transcript.pyannote[1211].speaker SPEAKER_44
transcript.pyannote[1211].start 7571.08409375
transcript.pyannote[1211].end 7571.84346875
transcript.pyannote[1212].speaker SPEAKER_44
transcript.pyannote[1212].start 7572.19784375
transcript.pyannote[1212].end 7590.79409375
transcript.pyannote[1213].speaker SPEAKER_44
transcript.pyannote[1213].start 7590.94596875
transcript.pyannote[1213].end 7593.05534375
transcript.pyannote[1214].speaker SPEAKER_44
transcript.pyannote[1214].start 7593.74721875
transcript.pyannote[1214].end 7604.39534375
transcript.pyannote[1215].speaker SPEAKER_25
transcript.pyannote[1215].start 7605.61034375
transcript.pyannote[1215].end 7619.26221875
transcript.pyannote[1216].speaker SPEAKER_44
transcript.pyannote[1216].start 7613.32221875
transcript.pyannote[1216].end 7614.06471875
transcript.pyannote[1217].speaker SPEAKER_44
transcript.pyannote[1217].start 7618.72221875
transcript.pyannote[1217].end 7624.29096875
transcript.pyannote[1218].speaker SPEAKER_25
transcript.pyannote[1218].start 7624.29096875
transcript.pyannote[1218].end 7628.23971875
transcript.pyannote[1219].speaker SPEAKER_44
transcript.pyannote[1219].start 7627.48034375
transcript.pyannote[1219].end 7628.35784375
transcript.pyannote[1220].speaker SPEAKER_25
transcript.pyannote[1220].start 7628.35784375
transcript.pyannote[1220].end 7628.64471875
transcript.pyannote[1221].speaker SPEAKER_44
transcript.pyannote[1221].start 7628.64471875
transcript.pyannote[1221].end 7636.81221875
transcript.pyannote[1222].speaker SPEAKER_25
transcript.pyannote[1222].start 7636.81221875
transcript.pyannote[1222].end 7646.78534375
transcript.pyannote[1223].speaker SPEAKER_44
transcript.pyannote[1223].start 7638.88784375
transcript.pyannote[1223].end 7638.90471875
transcript.pyannote[1224].speaker SPEAKER_44
transcript.pyannote[1224].start 7638.92159375
transcript.pyannote[1224].end 7638.98909375
transcript.pyannote[1225].speaker SPEAKER_44
transcript.pyannote[1225].start 7645.53659375
transcript.pyannote[1225].end 7657.73721875
transcript.pyannote[1226].speaker SPEAKER_25
transcript.pyannote[1226].start 7647.49409375
transcript.pyannote[1226].end 7648.45596875
transcript.pyannote[1227].speaker SPEAKER_25
transcript.pyannote[1227].start 7652.82659375
transcript.pyannote[1227].end 7652.86034375
transcript.pyannote[1228].speaker SPEAKER_66
transcript.pyannote[1228].start 7652.86034375
transcript.pyannote[1228].end 7652.87721875
transcript.pyannote[1229].speaker SPEAKER_25
transcript.pyannote[1229].start 7652.87721875
transcript.pyannote[1229].end 7652.89409375
transcript.pyannote[1230].speaker SPEAKER_66
transcript.pyannote[1230].start 7652.89409375
transcript.pyannote[1230].end 7652.92784375
transcript.pyannote[1231].speaker SPEAKER_44
transcript.pyannote[1231].start 7658.14221875
transcript.pyannote[1231].end 7667.33909375
transcript.pyannote[1232].speaker SPEAKER_25
transcript.pyannote[1232].start 7666.93409375
transcript.pyannote[1232].end 7676.23221875
transcript.pyannote[1233].speaker SPEAKER_44
transcript.pyannote[1233].start 7673.80221875
transcript.pyannote[1233].end 7674.24096875
transcript.pyannote[1234].speaker SPEAKER_44
transcript.pyannote[1234].start 7675.21971875
transcript.pyannote[1234].end 7677.51471875
transcript.pyannote[1235].speaker SPEAKER_25
transcript.pyannote[1235].start 7677.85221875
transcript.pyannote[1235].end 7681.48034375
transcript.pyannote[1236].speaker SPEAKER_44
transcript.pyannote[1236].start 7681.21034375
transcript.pyannote[1236].end 7683.31971875
transcript.pyannote[1237].speaker SPEAKER_25
transcript.pyannote[1237].start 7681.86846875
transcript.pyannote[1237].end 7682.27346875
transcript.pyannote[1238].speaker SPEAKER_44
transcript.pyannote[1238].start 7683.64034375
transcript.pyannote[1238].end 7687.09971875
transcript.pyannote[1239].speaker SPEAKER_44
transcript.pyannote[1239].start 7687.72409375
transcript.pyannote[1239].end 7695.99284375
transcript.pyannote[1240].speaker SPEAKER_63
transcript.pyannote[1240].start 7694.25471875
transcript.pyannote[1240].end 7694.57534375
transcript.pyannote[1241].speaker SPEAKER_63
transcript.pyannote[1241].start 7697.41034375
transcript.pyannote[1241].end 7697.61284375
transcript.pyannote[1242].speaker SPEAKER_63
transcript.pyannote[1242].start 7697.83221875
transcript.pyannote[1242].end 7704.59909375
transcript.pyannote[1243].speaker SPEAKER_44
transcript.pyannote[1243].start 7703.09721875
transcript.pyannote[1243].end 7703.53596875
transcript.pyannote[1244].speaker SPEAKER_44
transcript.pyannote[1244].start 7703.80596875
transcript.pyannote[1244].end 7714.42034375
transcript.pyannote[1245].speaker SPEAKER_44
transcript.pyannote[1245].start 7714.94346875
transcript.pyannote[1245].end 7719.41534375
transcript.pyannote[1246].speaker SPEAKER_63
transcript.pyannote[1246].start 7718.48721875
transcript.pyannote[1246].end 7726.40159375
transcript.pyannote[1247].speaker SPEAKER_44
transcript.pyannote[1247].start 7724.29221875
transcript.pyannote[1247].end 7724.69721875
transcript.pyannote[1248].speaker SPEAKER_44
transcript.pyannote[1248].start 7726.08096875
transcript.pyannote[1248].end 7728.66284375
transcript.pyannote[1249].speaker SPEAKER_44
transcript.pyannote[1249].start 7729.69221875
transcript.pyannote[1249].end 7730.28284375
transcript.pyannote[1250].speaker SPEAKER_44
transcript.pyannote[1250].start 7730.68784375
transcript.pyannote[1250].end 7731.86909375
transcript.pyannote[1251].speaker SPEAKER_44
transcript.pyannote[1251].start 7733.40471875
transcript.pyannote[1251].end 7735.54784375
transcript.pyannote[1252].speaker SPEAKER_63
transcript.pyannote[1252].start 7734.14721875
transcript.pyannote[1252].end 7738.01159375
transcript.pyannote[1253].speaker SPEAKER_44
transcript.pyannote[1253].start 7738.01159375
transcript.pyannote[1253].end 7754.93721875
transcript.pyannote[1254].speaker SPEAKER_44
transcript.pyannote[1254].start 7756.81034375
transcript.pyannote[1254].end 7757.90721875
transcript.pyannote[1255].speaker SPEAKER_63
transcript.pyannote[1255].start 7757.94096875
transcript.pyannote[1255].end 7759.83096875
transcript.pyannote[1256].speaker SPEAKER_44
transcript.pyannote[1256].start 7758.97034375
transcript.pyannote[1256].end 7761.36659375
transcript.pyannote[1257].speaker SPEAKER_44
transcript.pyannote[1257].start 7761.68721875
transcript.pyannote[1257].end 7768.63971875
transcript.pyannote[1258].speaker SPEAKER_44
transcript.pyannote[1258].start 7769.14596875
transcript.pyannote[1258].end 7789.53096875
transcript.pyannote[1259].speaker SPEAKER_52
transcript.pyannote[1259].start 7769.85471875
transcript.pyannote[1259].end 7770.91784375
transcript.pyannote[1260].speaker SPEAKER_51
transcript.pyannote[1260].start 7770.91784375
transcript.pyannote[1260].end 7771.08659375
transcript.pyannote[1261].speaker SPEAKER_52
transcript.pyannote[1261].start 7771.08659375
transcript.pyannote[1261].end 7772.03159375
transcript.pyannote[1262].speaker SPEAKER_43
transcript.pyannote[1262].start 7772.03159375
transcript.pyannote[1262].end 7772.40284375
transcript.pyannote[1263].speaker SPEAKER_52
transcript.pyannote[1263].start 7772.40284375
transcript.pyannote[1263].end 7772.67284375
transcript.pyannote[1264].speaker SPEAKER_63
transcript.pyannote[1264].start 7791.15096875
transcript.pyannote[1264].end 7808.58284375
transcript.pyannote[1265].speaker SPEAKER_53
transcript.pyannote[1265].start 7798.28909375
transcript.pyannote[1265].end 7798.84596875
transcript.pyannote[1266].speaker SPEAKER_44
transcript.pyannote[1266].start 7804.29659375
transcript.pyannote[1266].end 7805.05596875
transcript.pyannote[1267].speaker SPEAKER_44
transcript.pyannote[1267].start 7805.32596875
transcript.pyannote[1267].end 7809.19034375
transcript.pyannote[1268].speaker SPEAKER_44
transcript.pyannote[1268].start 7809.61221875
transcript.pyannote[1268].end 7832.08971875
transcript.pyannote[1269].speaker SPEAKER_44
transcript.pyannote[1269].start 7832.52846875
transcript.pyannote[1269].end 7833.15284375
transcript.pyannote[1270].speaker SPEAKER_44
transcript.pyannote[1270].start 7833.64221875
transcript.pyannote[1270].end 7842.19784375
transcript.pyannote[1271].speaker SPEAKER_44
transcript.pyannote[1271].start 7842.78846875
transcript.pyannote[1271].end 7848.12096875
transcript.pyannote[1272].speaker SPEAKER_44
transcript.pyannote[1272].start 7848.57659375
transcript.pyannote[1272].end 7849.90971875
transcript.pyannote[1273].speaker SPEAKER_66
transcript.pyannote[1273].start 7849.58909375
transcript.pyannote[1273].end 7849.77471875
transcript.pyannote[1274].speaker SPEAKER_66
transcript.pyannote[1274].start 7849.90971875
transcript.pyannote[1274].end 7850.23034375
transcript.pyannote[1275].speaker SPEAKER_44
transcript.pyannote[1275].start 7850.23034375
transcript.pyannote[1275].end 7854.24659375
transcript.pyannote[1276].speaker SPEAKER_44
transcript.pyannote[1276].start 7854.88784375
transcript.pyannote[1276].end 7863.10596875
transcript.pyannote[1277].speaker SPEAKER_44
transcript.pyannote[1277].start 7864.28721875
transcript.pyannote[1277].end 7865.51909375
transcript.pyannote[1278].speaker SPEAKER_63
transcript.pyannote[1278].start 7865.16471875
transcript.pyannote[1278].end 7870.98659375
transcript.pyannote[1279].speaker SPEAKER_44
transcript.pyannote[1279].start 7868.40471875
transcript.pyannote[1279].end 7868.80971875
transcript.pyannote[1280].speaker SPEAKER_44
transcript.pyannote[1280].start 7871.12159375
transcript.pyannote[1280].end 7876.15034375
transcript.pyannote[1281].speaker SPEAKER_63
transcript.pyannote[1281].start 7875.84659375
transcript.pyannote[1281].end 7881.22971875
transcript.pyannote[1282].speaker SPEAKER_44
transcript.pyannote[1282].start 7881.68534375
transcript.pyannote[1282].end 7882.96784375
transcript.pyannote[1283].speaker SPEAKER_63
transcript.pyannote[1283].start 7882.91721875
transcript.pyannote[1283].end 7882.95096875
transcript.pyannote[1284].speaker SPEAKER_63
transcript.pyannote[1284].start 7882.96784375
transcript.pyannote[1284].end 7884.94221875
transcript.pyannote[1285].speaker SPEAKER_44
transcript.pyannote[1285].start 7884.08159375
transcript.pyannote[1285].end 7884.60471875
transcript.pyannote[1286].speaker SPEAKER_44
transcript.pyannote[1286].start 7884.97596875
transcript.pyannote[1286].end 7891.42221875
transcript.pyannote[1287].speaker SPEAKER_55
transcript.pyannote[1287].start 7891.52346875
transcript.pyannote[1287].end 7893.51471875
transcript.pyannote[1288].speaker SPEAKER_55
transcript.pyannote[1288].start 7895.32034375
transcript.pyannote[1288].end 7897.26096875
transcript.pyannote[1289].speaker SPEAKER_50
transcript.pyannote[1289].start 7898.32409375
transcript.pyannote[1289].end 7898.35784375
transcript.pyannote[1290].speaker SPEAKER_25
transcript.pyannote[1290].start 7898.35784375
transcript.pyannote[1290].end 7898.49284375
transcript.pyannote[1291].speaker SPEAKER_25
transcript.pyannote[1291].start 7898.96534375
transcript.pyannote[1291].end 7899.03284375
transcript.pyannote[1292].speaker SPEAKER_45
transcript.pyannote[1292].start 7904.55096875
transcript.pyannote[1292].end 7905.51284375
transcript.pyannote[1293].speaker SPEAKER_45
transcript.pyannote[1293].start 7905.83346875
transcript.pyannote[1293].end 7912.26284375
transcript.pyannote[1294].speaker SPEAKER_57
transcript.pyannote[1294].start 7908.31409375
transcript.pyannote[1294].end 7909.54596875
transcript.pyannote[1295].speaker SPEAKER_57
transcript.pyannote[1295].start 7910.86221875
transcript.pyannote[1295].end 7912.16159375
transcript.pyannote[1296].speaker SPEAKER_57
transcript.pyannote[1296].start 7913.37659375
transcript.pyannote[1296].end 7914.52409375
transcript.pyannote[1297].speaker SPEAKER_57
transcript.pyannote[1297].start 7915.18221875
transcript.pyannote[1297].end 7918.06784375
transcript.pyannote[1298].speaker SPEAKER_57
transcript.pyannote[1298].start 7918.33784375
transcript.pyannote[1298].end 7919.02971875
transcript.pyannote[1299].speaker SPEAKER_45
transcript.pyannote[1299].start 7919.40096875
transcript.pyannote[1299].end 7921.57784375
transcript.pyannote[1300].speaker SPEAKER_45
transcript.pyannote[1300].start 7921.69596875
transcript.pyannote[1300].end 7978.76721875
transcript.pyannote[1301].speaker SPEAKER_57
transcript.pyannote[1301].start 7921.79721875
transcript.pyannote[1301].end 7921.94909375
transcript.pyannote[1302].speaker SPEAKER_45
transcript.pyannote[1302].start 7979.42534375
transcript.pyannote[1302].end 8014.18784375
transcript.pyannote[1303].speaker SPEAKER_08
transcript.pyannote[1303].start 8014.89659375
transcript.pyannote[1303].end 8050.21596875
transcript.pyannote[1304].speaker SPEAKER_45
transcript.pyannote[1304].start 8014.94721875
transcript.pyannote[1304].end 8015.79096875
transcript.pyannote[1305].speaker SPEAKER_52
transcript.pyannote[1305].start 8031.88971875
transcript.pyannote[1305].end 8032.32846875
transcript.pyannote[1306].speaker SPEAKER_66
transcript.pyannote[1306].start 8050.16534375
transcript.pyannote[1306].end 8050.18221875
transcript.pyannote[1307].speaker SPEAKER_66
transcript.pyannote[1307].start 8050.21596875
transcript.pyannote[1307].end 8050.23284375
transcript.pyannote[1308].speaker SPEAKER_08
transcript.pyannote[1308].start 8050.23284375
transcript.pyannote[1308].end 8050.24971875
transcript.pyannote[1309].speaker SPEAKER_66
transcript.pyannote[1309].start 8050.24971875
transcript.pyannote[1309].end 8050.43534375
transcript.pyannote[1310].speaker SPEAKER_08
transcript.pyannote[1310].start 8050.43534375
transcript.pyannote[1310].end 8077.78971875
transcript.pyannote[1311].speaker SPEAKER_66
transcript.pyannote[1311].start 8050.46909375
transcript.pyannote[1311].end 8050.55346875
transcript.pyannote[1312].speaker SPEAKER_45
transcript.pyannote[1312].start 8077.30034375
transcript.pyannote[1312].end 8085.02909375
transcript.pyannote[1313].speaker SPEAKER_45
transcript.pyannote[1313].start 8085.41721875
transcript.pyannote[1313].end 8086.90221875
transcript.pyannote[1314].speaker SPEAKER_45
transcript.pyannote[1314].start 8087.79659375
transcript.pyannote[1314].end 8124.58409375
transcript.pyannote[1315].speaker SPEAKER_45
transcript.pyannote[1315].start 8124.68534375
transcript.pyannote[1315].end 8128.29659375
transcript.pyannote[1316].speaker SPEAKER_39
transcript.pyannote[1316].start 8128.29659375
transcript.pyannote[1316].end 8128.31346875
transcript.pyannote[1317].speaker SPEAKER_45
transcript.pyannote[1317].start 8128.65096875
transcript.pyannote[1317].end 8130.03471875
transcript.pyannote[1318].speaker SPEAKER_39
transcript.pyannote[1318].start 8130.03471875
transcript.pyannote[1318].end 8133.79784375
transcript.pyannote[1319].speaker SPEAKER_39
transcript.pyannote[1319].start 8133.96659375
transcript.pyannote[1319].end 8168.96534375
transcript.pyannote[1320].speaker SPEAKER_45
transcript.pyannote[1320].start 8134.00034375
transcript.pyannote[1320].end 8134.01721875
transcript.pyannote[1321].speaker SPEAKER_37
transcript.pyannote[1321].start 8134.01721875
transcript.pyannote[1321].end 8134.48971875
transcript.pyannote[1322].speaker SPEAKER_45
transcript.pyannote[1322].start 8134.48971875
transcript.pyannote[1322].end 8134.50659375
transcript.pyannote[1323].speaker SPEAKER_52
transcript.pyannote[1323].start 8158.16534375
transcript.pyannote[1323].end 8159.63346875
transcript.pyannote[1324].speaker SPEAKER_45
transcript.pyannote[1324].start 8164.42596875
transcript.pyannote[1324].end 8164.49346875
transcript.pyannote[1325].speaker SPEAKER_16
transcript.pyannote[1325].start 8164.49346875
transcript.pyannote[1325].end 8164.57784375
transcript.pyannote[1326].speaker SPEAKER_45
transcript.pyannote[1326].start 8164.57784375
transcript.pyannote[1326].end 8164.59471875
transcript.pyannote[1327].speaker SPEAKER_16
transcript.pyannote[1327].start 8164.59471875
transcript.pyannote[1327].end 8164.66221875
transcript.pyannote[1328].speaker SPEAKER_45
transcript.pyannote[1328].start 8164.66221875
transcript.pyannote[1328].end 8164.71284375
transcript.pyannote[1329].speaker SPEAKER_45
transcript.pyannote[1329].start 8168.96534375
transcript.pyannote[1329].end 8188.81034375
transcript.pyannote[1330].speaker SPEAKER_45
transcript.pyannote[1330].start 8189.43471875
transcript.pyannote[1330].end 8266.03034375
transcript.pyannote[1331].speaker SPEAKER_68
transcript.pyannote[1331].start 8266.03034375
transcript.pyannote[1331].end 8290.02659375
transcript.pyannote[1332].speaker SPEAKER_45
transcript.pyannote[1332].start 8280.44159375
transcript.pyannote[1332].end 8280.45846875
transcript.pyannote[1333].speaker SPEAKER_01
transcript.pyannote[1333].start 8280.47534375
transcript.pyannote[1333].end 8280.67784375
transcript.pyannote[1334].speaker SPEAKER_45
transcript.pyannote[1334].start 8287.19159375
transcript.pyannote[1334].end 8293.62096875
transcript.pyannote[1335].speaker SPEAKER_68
transcript.pyannote[1335].start 8292.69284375
transcript.pyannote[1335].end 8292.72659375
transcript.pyannote[1336].speaker SPEAKER_55
transcript.pyannote[1336].start 8292.72659375
transcript.pyannote[1336].end 8296.99596875
transcript.pyannote[1337].speaker SPEAKER_21
transcript.pyannote[1337].start 8305.29846875
transcript.pyannote[1337].end 8310.17534375
transcript.pyannote[1338].speaker SPEAKER_21
transcript.pyannote[1338].start 8317.26284375
transcript.pyannote[1338].end 8319.52409375
transcript.pyannote[1339].speaker SPEAKER_39
transcript.pyannote[1339].start 8324.13096875
transcript.pyannote[1339].end 8325.00846875
transcript.pyannote[1340].speaker SPEAKER_21
transcript.pyannote[1340].start 8325.10971875
transcript.pyannote[1340].end 8357.05409375
transcript.pyannote[1341].speaker SPEAKER_52
transcript.pyannote[1341].start 8351.06346875
transcript.pyannote[1341].end 8352.53159375
transcript.pyannote[1342].speaker SPEAKER_21
transcript.pyannote[1342].start 8357.22284375
transcript.pyannote[1342].end 8368.76534375
transcript.pyannote[1343].speaker SPEAKER_39
transcript.pyannote[1343].start 8369.10284375
transcript.pyannote[1343].end 8382.41721875
transcript.pyannote[1344].speaker SPEAKER_21
transcript.pyannote[1344].start 8381.23596875
transcript.pyannote[1344].end 8384.42534375
transcript.pyannote[1345].speaker SPEAKER_39
transcript.pyannote[1345].start 8383.32846875
transcript.pyannote[1345].end 8400.84471875
transcript.pyannote[1346].speaker SPEAKER_21
transcript.pyannote[1346].start 8387.69909375
transcript.pyannote[1346].end 8388.00284375
transcript.pyannote[1347].speaker SPEAKER_16
transcript.pyannote[1347].start 8388.00284375
transcript.pyannote[1347].end 8388.03659375
transcript.pyannote[1348].speaker SPEAKER_16
transcript.pyannote[1348].start 8390.21346875
transcript.pyannote[1348].end 8390.46659375
transcript.pyannote[1349].speaker SPEAKER_21
transcript.pyannote[1349].start 8390.46659375
transcript.pyannote[1349].end 8390.53409375
transcript.pyannote[1350].speaker SPEAKER_21
transcript.pyannote[1350].start 8397.01409375
transcript.pyannote[1350].end 8397.50346875
transcript.pyannote[1351].speaker SPEAKER_21
transcript.pyannote[1351].start 8399.71409375
transcript.pyannote[1351].end 8406.59909375
transcript.pyannote[1352].speaker SPEAKER_39
transcript.pyannote[1352].start 8402.97096875
transcript.pyannote[1352].end 8419.32284375
transcript.pyannote[1353].speaker SPEAKER_16
transcript.pyannote[1353].start 8413.18034375
transcript.pyannote[1353].end 8413.45034375
transcript.pyannote[1354].speaker SPEAKER_16
transcript.pyannote[1354].start 8419.18784375
transcript.pyannote[1354].end 8419.69409375
transcript.pyannote[1355].speaker SPEAKER_39
transcript.pyannote[1355].start 8419.64346875
transcript.pyannote[1355].end 8425.26284375
transcript.pyannote[1356].speaker SPEAKER_66
transcript.pyannote[1356].start 8425.19534375
transcript.pyannote[1356].end 8425.73534375
transcript.pyannote[1357].speaker SPEAKER_39
transcript.pyannote[1357].start 8425.68471875
transcript.pyannote[1357].end 8430.40971875
transcript.pyannote[1358].speaker SPEAKER_66
transcript.pyannote[1358].start 8426.76471875
transcript.pyannote[1358].end 8428.30034375
transcript.pyannote[1359].speaker SPEAKER_66
transcript.pyannote[1359].start 8430.35909375
transcript.pyannote[1359].end 8431.11846875
transcript.pyannote[1360].speaker SPEAKER_39
transcript.pyannote[1360].start 8430.98346875
transcript.pyannote[1360].end 8441.51346875
transcript.pyannote[1361].speaker SPEAKER_66
transcript.pyannote[1361].start 8432.63721875
transcript.pyannote[1361].end 8432.94096875
transcript.pyannote[1362].speaker SPEAKER_16
transcript.pyannote[1362].start 8432.94096875
transcript.pyannote[1362].end 8432.95784375
transcript.pyannote[1363].speaker SPEAKER_66
transcript.pyannote[1363].start 8435.79284375
transcript.pyannote[1363].end 8435.84346875
transcript.pyannote[1364].speaker SPEAKER_21
transcript.pyannote[1364].start 8435.84346875
transcript.pyannote[1364].end 8436.33284375
transcript.pyannote[1365].speaker SPEAKER_21
transcript.pyannote[1365].start 8437.49721875
transcript.pyannote[1365].end 8438.05409375
transcript.pyannote[1366].speaker SPEAKER_21
transcript.pyannote[1366].start 8439.53909375
transcript.pyannote[1366].end 8440.19721875
transcript.pyannote[1367].speaker SPEAKER_21
transcript.pyannote[1367].start 8440.73721875
transcript.pyannote[1367].end 8443.57221875
transcript.pyannote[1368].speaker SPEAKER_39
transcript.pyannote[1368].start 8443.57221875
transcript.pyannote[1368].end 8462.53971875
transcript.pyannote[1369].speaker SPEAKER_21
transcript.pyannote[1369].start 8447.90909375
transcript.pyannote[1369].end 8450.84534375
transcript.pyannote[1370].speaker SPEAKER_21
transcript.pyannote[1370].start 8451.60471875
transcript.pyannote[1370].end 8451.94221875
transcript.pyannote[1371].speaker SPEAKER_21
transcript.pyannote[1371].start 8462.53971875
transcript.pyannote[1371].end 8471.95596875
transcript.pyannote[1372].speaker SPEAKER_21
transcript.pyannote[1372].start 8472.27659375
transcript.pyannote[1372].end 8475.06096875
transcript.pyannote[1373].speaker SPEAKER_39
transcript.pyannote[1373].start 8473.52534375
transcript.pyannote[1373].end 8495.42909375
transcript.pyannote[1374].speaker SPEAKER_21
transcript.pyannote[1374].start 8476.98471875
transcript.pyannote[1374].end 8477.27159375
transcript.pyannote[1375].speaker SPEAKER_21
transcript.pyannote[1375].start 8480.59596875
transcript.pyannote[1375].end 8480.96721875
transcript.pyannote[1376].speaker SPEAKER_66
transcript.pyannote[1376].start 8480.96721875
transcript.pyannote[1376].end 8481.82784375
transcript.pyannote[1377].speaker SPEAKER_66
transcript.pyannote[1377].start 8483.46471875
transcript.pyannote[1377].end 8483.85284375
transcript.pyannote[1378].speaker SPEAKER_66
transcript.pyannote[1378].start 8485.50659375
transcript.pyannote[1378].end 8486.14784375
transcript.pyannote[1379].speaker SPEAKER_66
transcript.pyannote[1379].start 8487.16034375
transcript.pyannote[1379].end 8487.71721875
transcript.pyannote[1380].speaker SPEAKER_21
transcript.pyannote[1380].start 8494.55159375
transcript.pyannote[1380].end 8505.52034375
transcript.pyannote[1381].speaker SPEAKER_21
transcript.pyannote[1381].start 8505.75659375
transcript.pyannote[1381].end 8509.28346875
transcript.pyannote[1382].speaker SPEAKER_21
transcript.pyannote[1382].start 8509.45221875
transcript.pyannote[1382].end 8532.60471875
transcript.pyannote[1383].speaker SPEAKER_39
transcript.pyannote[1383].start 8532.45284375
transcript.pyannote[1383].end 8545.24409375
transcript.pyannote[1384].speaker SPEAKER_21
transcript.pyannote[1384].start 8539.77659375
transcript.pyannote[1384].end 8549.09159375
transcript.pyannote[1385].speaker SPEAKER_39
transcript.pyannote[1385].start 8547.80909375
transcript.pyannote[1385].end 8557.49534375
transcript.pyannote[1386].speaker SPEAKER_21
transcript.pyannote[1386].start 8551.53846875
transcript.pyannote[1386].end 8551.94346875
transcript.pyannote[1387].speaker SPEAKER_21
transcript.pyannote[1387].start 8555.53784375
transcript.pyannote[1387].end 8555.80784375
transcript.pyannote[1388].speaker SPEAKER_21
transcript.pyannote[1388].start 8556.97221875
transcript.pyannote[1388].end 8561.69721875
transcript.pyannote[1389].speaker SPEAKER_39
transcript.pyannote[1389].start 8558.13659375
transcript.pyannote[1389].end 8558.54159375
transcript.pyannote[1390].speaker SPEAKER_39
transcript.pyannote[1390].start 8559.31784375
transcript.pyannote[1390].end 8559.57096875
transcript.pyannote[1391].speaker SPEAKER_39
transcript.pyannote[1391].start 8561.91659375
transcript.pyannote[1391].end 8564.76846875
transcript.pyannote[1392].speaker SPEAKER_21
transcript.pyannote[1392].start 8564.76846875
transcript.pyannote[1392].end 8572.07534375
transcript.pyannote[1393].speaker SPEAKER_39
transcript.pyannote[1393].start 8565.19034375
transcript.pyannote[1393].end 8565.51096875
transcript.pyannote[1394].speaker SPEAKER_39
transcript.pyannote[1394].start 8572.02471875
transcript.pyannote[1394].end 8572.53096875
transcript.pyannote[1395].speaker SPEAKER_21
transcript.pyannote[1395].start 8572.53096875
transcript.pyannote[1395].end 8574.53909375
transcript.pyannote[1396].speaker SPEAKER_39
transcript.pyannote[1396].start 8572.91909375
transcript.pyannote[1396].end 8578.01534375
transcript.pyannote[1397].speaker SPEAKER_21
transcript.pyannote[1397].start 8575.09596875
transcript.pyannote[1397].end 8580.85034375
transcript.pyannote[1398].speaker SPEAKER_39
transcript.pyannote[1398].start 8580.56346875
transcript.pyannote[1398].end 8582.11596875
transcript.pyannote[1399].speaker SPEAKER_21
transcript.pyannote[1399].start 8582.11596875
transcript.pyannote[1399].end 8583.06096875
transcript.pyannote[1400].speaker SPEAKER_39
transcript.pyannote[1400].start 8582.16659375
transcript.pyannote[1400].end 8582.20034375
transcript.pyannote[1401].speaker SPEAKER_39
transcript.pyannote[1401].start 8582.30159375
transcript.pyannote[1401].end 8592.62909375
transcript.pyannote[1402].speaker SPEAKER_21
transcript.pyannote[1402].start 8585.10284375
transcript.pyannote[1402].end 8585.27159375
transcript.pyannote[1403].speaker SPEAKER_21
transcript.pyannote[1403].start 8586.58784375
transcript.pyannote[1403].end 8588.52846875
transcript.pyannote[1404].speaker SPEAKER_21
transcript.pyannote[1404].start 8590.35096875
transcript.pyannote[1404].end 8590.63784375
transcript.pyannote[1405].speaker SPEAKER_21
transcript.pyannote[1405].start 8592.17346875
transcript.pyannote[1405].end 8592.61221875
transcript.pyannote[1406].speaker SPEAKER_21
transcript.pyannote[1406].start 8592.62909375
transcript.pyannote[1406].end 8596.44284375
transcript.pyannote[1407].speaker SPEAKER_21
transcript.pyannote[1407].start 8598.51846875
transcript.pyannote[1407].end 8599.27784375
transcript.pyannote[1408].speaker SPEAKER_21
transcript.pyannote[1408].start 8600.69534375
transcript.pyannote[1408].end 8603.34471875
transcript.pyannote[1409].speaker SPEAKER_21
transcript.pyannote[1409].start 8604.27284375
transcript.pyannote[1409].end 8612.10284375
transcript.pyannote[1410].speaker SPEAKER_21
transcript.pyannote[1410].start 8612.92971875
transcript.pyannote[1410].end 8622.16034375
transcript.pyannote[1411].speaker SPEAKER_21
transcript.pyannote[1411].start 8622.41346875
transcript.pyannote[1411].end 8629.65284375
transcript.pyannote[1412].speaker SPEAKER_11
transcript.pyannote[1412].start 8630.32784375
transcript.pyannote[1412].end 8630.34471875
transcript.pyannote[1413].speaker SPEAKER_21
transcript.pyannote[1413].start 8630.34471875
transcript.pyannote[1413].end 8631.96471875
transcript.pyannote[1414].speaker SPEAKER_11
transcript.pyannote[1414].start 8631.96471875
transcript.pyannote[1414].end 8642.69721875
transcript.pyannote[1415].speaker SPEAKER_11
transcript.pyannote[1415].start 8643.55784375
transcript.pyannote[1415].end 8655.57284375
transcript.pyannote[1416].speaker SPEAKER_21
transcript.pyannote[1416].start 8655.48846875
transcript.pyannote[1416].end 8671.73909375
transcript.pyannote[1417].speaker SPEAKER_11
transcript.pyannote[1417].start 8668.36409375
transcript.pyannote[1417].end 8675.75534375
transcript.pyannote[1418].speaker SPEAKER_21
transcript.pyannote[1418].start 8674.45596875
transcript.pyannote[1418].end 8675.92409375
transcript.pyannote[1419].speaker SPEAKER_11
transcript.pyannote[1419].start 8675.92409375
transcript.pyannote[1419].end 8676.34596875
transcript.pyannote[1420].speaker SPEAKER_11
transcript.pyannote[1420].start 8676.73409375
transcript.pyannote[1420].end 8681.35784375
transcript.pyannote[1421].speaker SPEAKER_55
transcript.pyannote[1421].start 8678.26971875
transcript.pyannote[1421].end 8684.74971875
transcript.pyannote[1422].speaker SPEAKER_11
transcript.pyannote[1422].start 8682.70784375
transcript.pyannote[1422].end 8683.87221875
transcript.pyannote[1423].speaker SPEAKER_52
transcript.pyannote[1423].start 8683.87221875
transcript.pyannote[1423].end 8683.93971875
transcript.pyannote[1424].speaker SPEAKER_55
transcript.pyannote[1424].start 8684.76659375
transcript.pyannote[1424].end 8686.77471875
transcript.pyannote[1425].speaker SPEAKER_52
transcript.pyannote[1425].start 8705.64096875
transcript.pyannote[1425].end 8710.75409375
transcript.pyannote[1426].speaker SPEAKER_52
transcript.pyannote[1426].start 8710.88909375
transcript.pyannote[1426].end 8712.64409375
transcript.pyannote[1427].speaker SPEAKER_52
transcript.pyannote[1427].start 8713.11659375
transcript.pyannote[1427].end 8714.02784375
transcript.pyannote[1428].speaker SPEAKER_21
transcript.pyannote[1428].start 8714.02784375
transcript.pyannote[1428].end 8714.78721875
transcript.pyannote[1429].speaker SPEAKER_52
transcript.pyannote[1429].start 8714.78721875
transcript.pyannote[1429].end 8714.82096875
transcript.pyannote[1430].speaker SPEAKER_21
transcript.pyannote[1430].start 8714.82096875
transcript.pyannote[1430].end 8714.85471875
transcript.pyannote[1431].speaker SPEAKER_52
transcript.pyannote[1431].start 8720.11971875
transcript.pyannote[1431].end 8720.72721875
transcript.pyannote[1432].speaker SPEAKER_52
transcript.pyannote[1432].start 8720.99721875
transcript.pyannote[1432].end 8722.61721875
transcript.pyannote[1433].speaker SPEAKER_52
transcript.pyannote[1433].start 8723.42721875
transcript.pyannote[1433].end 8726.16096875
transcript.pyannote[1434].speaker SPEAKER_08
transcript.pyannote[1434].start 8727.47721875
transcript.pyannote[1434].end 8729.92409375
transcript.pyannote[1435].speaker SPEAKER_52
transcript.pyannote[1435].start 8729.92409375
transcript.pyannote[1435].end 8730.76784375
transcript.pyannote[1436].speaker SPEAKER_08
transcript.pyannote[1436].start 8730.36284375
transcript.pyannote[1436].end 8730.58221875
transcript.pyannote[1437].speaker SPEAKER_52
transcript.pyannote[1437].start 8730.78471875
transcript.pyannote[1437].end 8735.62784375
transcript.pyannote[1438].speaker SPEAKER_08
transcript.pyannote[1438].start 8736.48846875
transcript.pyannote[1438].end 8738.71596875
transcript.pyannote[1439].speaker SPEAKER_52
transcript.pyannote[1439].start 8737.78784375
transcript.pyannote[1439].end 8738.49659375
transcript.pyannote[1440].speaker SPEAKER_52
transcript.pyannote[1440].start 8738.71596875
transcript.pyannote[1440].end 8744.45346875
transcript.pyannote[1441].speaker SPEAKER_08
transcript.pyannote[1441].start 8744.89221875
transcript.pyannote[1441].end 8745.21284375
transcript.pyannote[1442].speaker SPEAKER_52
transcript.pyannote[1442].start 8745.36471875
transcript.pyannote[1442].end 8748.04784375
transcript.pyannote[1443].speaker SPEAKER_08
transcript.pyannote[1443].start 8747.57534375
transcript.pyannote[1443].end 8747.92971875
transcript.pyannote[1444].speaker SPEAKER_52
transcript.pyannote[1444].start 8748.11534375
transcript.pyannote[1444].end 8754.34221875
transcript.pyannote[1445].speaker SPEAKER_52
transcript.pyannote[1445].start 8755.11846875
transcript.pyannote[1445].end 8755.81034375
transcript.pyannote[1446].speaker SPEAKER_08
transcript.pyannote[1446].start 8756.85659375
transcript.pyannote[1446].end 8757.36284375
transcript.pyannote[1447].speaker SPEAKER_08
transcript.pyannote[1447].start 8757.63284375
transcript.pyannote[1447].end 8761.15971875
transcript.pyannote[1448].speaker SPEAKER_52
transcript.pyannote[1448].start 8760.34971875
transcript.pyannote[1448].end 8766.72846875
transcript.pyannote[1449].speaker SPEAKER_52
transcript.pyannote[1449].start 8766.96471875
transcript.pyannote[1449].end 8770.00221875
transcript.pyannote[1450].speaker SPEAKER_52
transcript.pyannote[1450].start 8770.22159375
transcript.pyannote[1450].end 8771.23409375
transcript.pyannote[1451].speaker SPEAKER_08
transcript.pyannote[1451].start 8770.30596875
transcript.pyannote[1451].end 8770.69409375
transcript.pyannote[1452].speaker SPEAKER_52
transcript.pyannote[1452].start 8771.67284375
transcript.pyannote[1452].end 8774.40659375
transcript.pyannote[1453].speaker SPEAKER_08
transcript.pyannote[1453].start 8774.60909375
transcript.pyannote[1453].end 8786.30346875
transcript.pyannote[1454].speaker SPEAKER_52
transcript.pyannote[1454].start 8782.91159375
transcript.pyannote[1454].end 8786.91096875
transcript.pyannote[1455].speaker SPEAKER_52
transcript.pyannote[1455].start 8787.50159375
transcript.pyannote[1455].end 8796.24284375
transcript.pyannote[1456].speaker SPEAKER_08
transcript.pyannote[1456].start 8795.98971875
transcript.pyannote[1456].end 8809.65846875
transcript.pyannote[1457].speaker SPEAKER_52
transcript.pyannote[1457].start 8796.95159375
transcript.pyannote[1457].end 8797.59284375
transcript.pyannote[1458].speaker SPEAKER_52
transcript.pyannote[1458].start 8800.57971875
transcript.pyannote[1458].end 8801.08596875
transcript.pyannote[1459].speaker SPEAKER_52
transcript.pyannote[1459].start 8802.72284375
transcript.pyannote[1459].end 8803.11096875
transcript.pyannote[1460].speaker SPEAKER_52
transcript.pyannote[1460].start 8809.65846875
transcript.pyannote[1460].end 8813.67471875
transcript.pyannote[1461].speaker SPEAKER_08
transcript.pyannote[1461].start 8813.40471875
transcript.pyannote[1461].end 8813.47221875
transcript.pyannote[1462].speaker SPEAKER_08
transcript.pyannote[1462].start 8813.67471875
transcript.pyannote[1462].end 8813.91096875
transcript.pyannote[1463].speaker SPEAKER_52
transcript.pyannote[1463].start 8813.70846875
transcript.pyannote[1463].end 8822.51721875
transcript.pyannote[1464].speaker SPEAKER_52
transcript.pyannote[1464].start 8822.68596875
transcript.pyannote[1464].end 8824.08659375
transcript.pyannote[1465].speaker SPEAKER_08
transcript.pyannote[1465].start 8824.77846875
transcript.pyannote[1465].end 8826.09471875
transcript.pyannote[1466].speaker SPEAKER_52
transcript.pyannote[1466].start 8825.62221875
transcript.pyannote[1466].end 8829.21659375
transcript.pyannote[1467].speaker SPEAKER_52
transcript.pyannote[1467].start 8829.70596875
transcript.pyannote[1467].end 8830.44846875
transcript.pyannote[1468].speaker SPEAKER_52
transcript.pyannote[1468].start 8830.51596875
transcript.pyannote[1468].end 8837.26596875
transcript.pyannote[1469].speaker SPEAKER_52
transcript.pyannote[1469].start 8837.58659375
transcript.pyannote[1469].end 8848.40346875
transcript.pyannote[1470].speaker SPEAKER_08
transcript.pyannote[1470].start 8848.65659375
transcript.pyannote[1470].end 8855.72721875
transcript.pyannote[1471].speaker SPEAKER_52
transcript.pyannote[1471].start 8854.39409375
transcript.pyannote[1471].end 8856.84096875
transcript.pyannote[1472].speaker SPEAKER_08
transcript.pyannote[1472].start 8856.84096875
transcript.pyannote[1472].end 8857.49909375
transcript.pyannote[1473].speaker SPEAKER_52
transcript.pyannote[1473].start 8857.49909375
transcript.pyannote[1473].end 8878.87971875
transcript.pyannote[1474].speaker SPEAKER_08
transcript.pyannote[1474].start 8879.45346875
transcript.pyannote[1474].end 8881.05659375
transcript.pyannote[1475].speaker SPEAKER_52
transcript.pyannote[1475].start 8881.05659375
transcript.pyannote[1475].end 8889.19034375
transcript.pyannote[1476].speaker SPEAKER_08
transcript.pyannote[1476].start 8889.89909375
transcript.pyannote[1476].end 8892.43034375
transcript.pyannote[1477].speaker SPEAKER_08
transcript.pyannote[1477].start 8892.58221875
transcript.pyannote[1477].end 8893.22346875
transcript.pyannote[1478].speaker SPEAKER_52
transcript.pyannote[1478].start 8893.10534375
transcript.pyannote[1478].end 8899.51784375
transcript.pyannote[1479].speaker SPEAKER_08
transcript.pyannote[1479].start 8895.13034375
transcript.pyannote[1479].end 8897.52659375
transcript.pyannote[1480].speaker SPEAKER_08
transcript.pyannote[1480].start 8898.69096875
transcript.pyannote[1480].end 8900.00721875
transcript.pyannote[1481].speaker SPEAKER_52
transcript.pyannote[1481].start 8900.22659375
transcript.pyannote[1481].end 8901.34034375
transcript.pyannote[1482].speaker SPEAKER_08
transcript.pyannote[1482].start 8902.40346875
transcript.pyannote[1482].end 8905.64346875
transcript.pyannote[1483].speaker SPEAKER_52
transcript.pyannote[1483].start 8904.09096875
transcript.pyannote[1483].end 8906.18346875
transcript.pyannote[1484].speaker SPEAKER_08
transcript.pyannote[1484].start 8906.18346875
transcript.pyannote[1484].end 8906.60534375
transcript.pyannote[1485].speaker SPEAKER_52
transcript.pyannote[1485].start 8906.60534375
transcript.pyannote[1485].end 8910.92534375
transcript.pyannote[1486].speaker SPEAKER_52
transcript.pyannote[1486].start 8911.39784375
transcript.pyannote[1486].end 8916.32534375
transcript.pyannote[1487].speaker SPEAKER_52
transcript.pyannote[1487].start 8916.59534375
transcript.pyannote[1487].end 8922.18096875
transcript.pyannote[1488].speaker SPEAKER_66
transcript.pyannote[1488].start 8919.21096875
transcript.pyannote[1488].end 8919.26159375
transcript.pyannote[1489].speaker SPEAKER_05
transcript.pyannote[1489].start 8919.27846875
transcript.pyannote[1489].end 8919.32909375
transcript.pyannote[1490].speaker SPEAKER_05
transcript.pyannote[1490].start 8919.63284375
transcript.pyannote[1490].end 8919.66659375
transcript.pyannote[1491].speaker SPEAKER_66
transcript.pyannote[1491].start 8919.66659375
transcript.pyannote[1491].end 8919.71721875
transcript.pyannote[1492].speaker SPEAKER_52
transcript.pyannote[1492].start 8922.40034375
transcript.pyannote[1492].end 8924.13846875
transcript.pyannote[1493].speaker SPEAKER_52
transcript.pyannote[1493].start 8924.29034375
transcript.pyannote[1493].end 8931.41159375
transcript.pyannote[1494].speaker SPEAKER_52
transcript.pyannote[1494].start 8931.64784375
transcript.pyannote[1494].end 8933.38596875
transcript.pyannote[1495].speaker SPEAKER_52
transcript.pyannote[1495].start 8933.94284375
transcript.pyannote[1495].end 8944.64159375
transcript.pyannote[1496].speaker SPEAKER_27
transcript.pyannote[1496].start 8937.75659375
transcript.pyannote[1496].end 8937.77346875
transcript.pyannote[1497].speaker SPEAKER_27
transcript.pyannote[1497].start 8937.82409375
transcript.pyannote[1497].end 8938.22909375
transcript.pyannote[1498].speaker SPEAKER_08
transcript.pyannote[1498].start 8945.08034375
transcript.pyannote[1498].end 8948.11784375
transcript.pyannote[1499].speaker SPEAKER_52
transcript.pyannote[1499].start 8948.11784375
transcript.pyannote[1499].end 8950.04159375
transcript.pyannote[1500].speaker SPEAKER_52
transcript.pyannote[1500].start 8950.31159375
transcript.pyannote[1500].end 8973.53159375
transcript.pyannote[1501].speaker SPEAKER_52
transcript.pyannote[1501].start 8974.22346875
transcript.pyannote[1501].end 8982.32346875
transcript.pyannote[1502].speaker SPEAKER_08
transcript.pyannote[1502].start 8982.61034375
transcript.pyannote[1502].end 8983.08284375
transcript.pyannote[1503].speaker SPEAKER_52
transcript.pyannote[1503].start 8983.16721875
transcript.pyannote[1503].end 8984.11221875
transcript.pyannote[1504].speaker SPEAKER_52
transcript.pyannote[1504].start 8984.34846875
transcript.pyannote[1504].end 9006.03284375
transcript.pyannote[1505].speaker SPEAKER_52
transcript.pyannote[1505].start 9006.28596875
transcript.pyannote[1505].end 9007.02846875
transcript.pyannote[1506].speaker SPEAKER_52
transcript.pyannote[1506].start 9007.23096875
transcript.pyannote[1506].end 9008.95221875
transcript.pyannote[1507].speaker SPEAKER_52
transcript.pyannote[1507].start 9009.52596875
transcript.pyannote[1507].end 9014.36909375
transcript.pyannote[1508].speaker SPEAKER_08
transcript.pyannote[1508].start 9014.84159375
transcript.pyannote[1508].end 9031.53096875
transcript.pyannote[1509].speaker SPEAKER_52
transcript.pyannote[1509].start 9030.38346875
transcript.pyannote[1509].end 9030.77159375
transcript.pyannote[1510].speaker SPEAKER_52
transcript.pyannote[1510].start 9031.53096875
transcript.pyannote[1510].end 9033.89346875
transcript.pyannote[1511].speaker SPEAKER_52
transcript.pyannote[1511].start 9035.02409375
transcript.pyannote[1511].end 9036.44159375
transcript.pyannote[1512].speaker SPEAKER_08
transcript.pyannote[1512].start 9036.49221875
transcript.pyannote[1512].end 9041.47034375
transcript.pyannote[1513].speaker SPEAKER_52
transcript.pyannote[1513].start 9037.50471875
transcript.pyannote[1513].end 9038.68596875
transcript.pyannote[1514].speaker SPEAKER_52
transcript.pyannote[1514].start 9039.14159375
transcript.pyannote[1514].end 9052.89471875
transcript.pyannote[1515].speaker SPEAKER_08
transcript.pyannote[1515].start 9053.41784375
transcript.pyannote[1515].end 9054.00846875
transcript.pyannote[1516].speaker SPEAKER_52
transcript.pyannote[1516].start 9054.09284375
transcript.pyannote[1516].end 9054.10971875
transcript.pyannote[1517].speaker SPEAKER_08
transcript.pyannote[1517].start 9054.10971875
transcript.pyannote[1517].end 9054.64971875
transcript.pyannote[1518].speaker SPEAKER_52
transcript.pyannote[1518].start 9054.64971875
transcript.pyannote[1518].end 9054.66659375
transcript.pyannote[1519].speaker SPEAKER_21
transcript.pyannote[1519].start 9055.88159375
transcript.pyannote[1519].end 9059.56034375
transcript.pyannote[1520].speaker SPEAKER_21
transcript.pyannote[1520].start 9061.95659375
transcript.pyannote[1520].end 9071.28846875
transcript.pyannote[1521].speaker SPEAKER_55
transcript.pyannote[1521].start 9071.50784375
transcript.pyannote[1521].end 9074.32596875
transcript.pyannote[1522].speaker SPEAKER_55
transcript.pyannote[1522].start 9074.74784375
transcript.pyannote[1522].end 9077.02596875
transcript.pyannote[1523].speaker SPEAKER_21
transcript.pyannote[1523].start 9074.78159375
transcript.pyannote[1523].end 9075.37221875
transcript.pyannote[1524].speaker SPEAKER_58
transcript.pyannote[1524].start 9075.37221875
transcript.pyannote[1524].end 9075.67596875
transcript.pyannote[1525].speaker SPEAKER_58
transcript.pyannote[1525].start 9075.70971875
transcript.pyannote[1525].end 9075.81096875
transcript.pyannote[1526].speaker SPEAKER_21
transcript.pyannote[1526].start 9078.51096875
transcript.pyannote[1526].end 9080.70471875
transcript.pyannote[1527].speaker SPEAKER_55
transcript.pyannote[1527].start 9080.92409375
transcript.pyannote[1527].end 9081.81846875
transcript.pyannote[1528].speaker SPEAKER_55
transcript.pyannote[1528].start 9081.98721875
transcript.pyannote[1528].end 9082.59471875
transcript.pyannote[1529].speaker SPEAKER_55
transcript.pyannote[1529].start 9083.40471875
transcript.pyannote[1529].end 9089.74971875
transcript.pyannote[1530].speaker SPEAKER_55
transcript.pyannote[1530].start 9090.23909375
transcript.pyannote[1530].end 9095.21721875
transcript.pyannote[1531].speaker SPEAKER_55
transcript.pyannote[1531].start 9095.52096875
transcript.pyannote[1531].end 9100.56659375
transcript.pyannote[1532].speaker SPEAKER_55
transcript.pyannote[1532].start 9101.10659375
transcript.pyannote[1532].end 9107.24909375
transcript.pyannote[1533].speaker SPEAKER_55
transcript.pyannote[1533].start 9107.77221875
transcript.pyannote[1533].end 9111.38346875
transcript.pyannote[1534].speaker SPEAKER_55
transcript.pyannote[1534].start 9111.45096875
transcript.pyannote[1534].end 9127.41471875
transcript.pyannote[1535].speaker SPEAKER_55
transcript.pyannote[1535].start 9127.81971875
transcript.pyannote[1535].end 9136.69596875
transcript.pyannote[1536].speaker SPEAKER_55
transcript.pyannote[1536].start 9137.55659375
transcript.pyannote[1536].end 9139.36221875
transcript.pyannote[1537].speaker SPEAKER_55
transcript.pyannote[1537].start 9139.96971875
transcript.pyannote[1537].end 9143.02409375
transcript.pyannote[1538].speaker SPEAKER_55
transcript.pyannote[1538].start 9143.54721875
transcript.pyannote[1538].end 9144.77909375
transcript.pyannote[1539].speaker SPEAKER_55
transcript.pyannote[1539].start 9145.40346875
transcript.pyannote[1539].end 9146.34846875
transcript.pyannote[1540].speaker SPEAKER_55
transcript.pyannote[1540].start 9146.43284375
transcript.pyannote[1540].end 9147.98534375
transcript.pyannote[1541].speaker SPEAKER_55
transcript.pyannote[1541].start 9148.45784375
transcript.pyannote[1541].end 9152.15346875
transcript.pyannote[1542].speaker SPEAKER_55
transcript.pyannote[1542].start 9153.14909375
transcript.pyannote[1542].end 9167.35784375
transcript.pyannote[1543].speaker SPEAKER_55
transcript.pyannote[1543].start 9167.79659375
transcript.pyannote[1543].end 9173.38221875
transcript.pyannote[1544].speaker SPEAKER_55
transcript.pyannote[1544].start 9173.83784375
transcript.pyannote[1544].end 9183.06846875
transcript.pyannote[1545].speaker SPEAKER_55
transcript.pyannote[1545].start 9183.65909375
transcript.pyannote[1545].end 9189.63284375
transcript.pyannote[1546].speaker SPEAKER_55
transcript.pyannote[1546].start 9189.97034375
transcript.pyannote[1546].end 9195.26909375
transcript.pyannote[1547].speaker SPEAKER_55
transcript.pyannote[1547].start 9195.77534375
transcript.pyannote[1547].end 9198.30659375
transcript.pyannote[1548].speaker SPEAKER_55
transcript.pyannote[1548].start 9198.69471875
transcript.pyannote[1548].end 9202.64346875
transcript.pyannote[1549].speaker SPEAKER_08
transcript.pyannote[1549].start 9202.64346875
transcript.pyannote[1549].end 9202.66034375
transcript.pyannote[1550].speaker SPEAKER_55
transcript.pyannote[1550].start 9203.95971875
transcript.pyannote[1550].end 9204.02721875
transcript.pyannote[1551].speaker SPEAKER_08
transcript.pyannote[1551].start 9204.02721875
transcript.pyannote[1551].end 9230.04846875
transcript.pyannote[1552].speaker SPEAKER_52
transcript.pyannote[1552].start 9212.76846875
transcript.pyannote[1552].end 9212.80221875
transcript.pyannote[1553].speaker SPEAKER_21
transcript.pyannote[1553].start 9212.80221875
transcript.pyannote[1553].end 9212.97096875
transcript.pyannote[1554].speaker SPEAKER_52
transcript.pyannote[1554].start 9212.97096875
transcript.pyannote[1554].end 9213.84846875
transcript.pyannote[1555].speaker SPEAKER_34
transcript.pyannote[1555].start 9221.12159375
transcript.pyannote[1555].end 9221.52659375
transcript.pyannote[1556].speaker SPEAKER_52
transcript.pyannote[1556].start 9224.05784375
transcript.pyannote[1556].end 9224.09159375
transcript.pyannote[1557].speaker SPEAKER_34
transcript.pyannote[1557].start 9224.09159375
transcript.pyannote[1557].end 9224.54721875
transcript.pyannote[1558].speaker SPEAKER_08
transcript.pyannote[1558].start 9230.58846875
transcript.pyannote[1558].end 9241.59096875
transcript.pyannote[1559].speaker SPEAKER_57
transcript.pyannote[1559].start 9233.45721875
transcript.pyannote[1559].end 9233.81159375
transcript.pyannote[1560].speaker SPEAKER_57
transcript.pyannote[1560].start 9241.50659375
transcript.pyannote[1560].end 9241.57409375
transcript.pyannote[1561].speaker SPEAKER_55
transcript.pyannote[1561].start 9241.57409375
transcript.pyannote[1561].end 9246.78846875
transcript.pyannote[1562].speaker SPEAKER_55
transcript.pyannote[1562].start 9247.19346875
transcript.pyannote[1562].end 9249.38721875
transcript.pyannote[1563].speaker SPEAKER_66
transcript.pyannote[1563].start 9249.57284375
transcript.pyannote[1563].end 9250.01159375
transcript.pyannote[1564].speaker SPEAKER_55
transcript.pyannote[1564].start 9249.84284375
transcript.pyannote[1564].end 9251.61471875
transcript.pyannote[1565].speaker SPEAKER_55
transcript.pyannote[1565].start 9252.22221875
transcript.pyannote[1565].end 9257.74034375
transcript.pyannote[1566].speaker SPEAKER_55
transcript.pyannote[1566].start 9258.19596875
transcript.pyannote[1566].end 9260.62596875
transcript.pyannote[1567].speaker SPEAKER_55
transcript.pyannote[1567].start 9261.08159375
transcript.pyannote[1567].end 9277.63596875
transcript.pyannote[1568].speaker SPEAKER_55
transcript.pyannote[1568].start 9277.68659375
transcript.pyannote[1568].end 9279.93096875
transcript.pyannote[1569].speaker SPEAKER_55
transcript.pyannote[1569].start 9280.47096875
transcript.pyannote[1569].end 9282.20909375
transcript.pyannote[1570].speaker SPEAKER_55
transcript.pyannote[1570].start 9282.44534375
transcript.pyannote[1570].end 9287.62596875
transcript.pyannote[1571].speaker SPEAKER_55
transcript.pyannote[1571].start 9288.48659375
transcript.pyannote[1571].end 9289.54971875
transcript.pyannote[1572].speaker SPEAKER_55
transcript.pyannote[1572].start 9289.66784375
transcript.pyannote[1572].end 9290.20784375
transcript.pyannote[1573].speaker SPEAKER_55
transcript.pyannote[1573].start 9290.98409375
transcript.pyannote[1573].end 9298.34159375
transcript.pyannote[1574].speaker SPEAKER_55
transcript.pyannote[1574].start 9298.64534375
transcript.pyannote[1574].end 9304.75409375
transcript.pyannote[1575].speaker SPEAKER_55
transcript.pyannote[1575].start 9305.05784375
transcript.pyannote[1575].end 9307.79159375
transcript.pyannote[1576].speaker SPEAKER_08
transcript.pyannote[1576].start 9307.79159375
transcript.pyannote[1576].end 9323.70471875
transcript.pyannote[1577].speaker SPEAKER_55
transcript.pyannote[1577].start 9309.09096875
transcript.pyannote[1577].end 9309.51284375
transcript.pyannote[1578].speaker SPEAKER_57
transcript.pyannote[1578].start 9316.90409375
transcript.pyannote[1578].end 9317.25846875
transcript.pyannote[1579].speaker SPEAKER_57
transcript.pyannote[1579].start 9323.70471875
transcript.pyannote[1579].end 9325.03784375
transcript.pyannote[1580].speaker SPEAKER_55
transcript.pyannote[1580].start 9325.03784375
transcript.pyannote[1580].end 9330.55596875
transcript.pyannote[1581].speaker SPEAKER_08
transcript.pyannote[1581].start 9328.76721875
transcript.pyannote[1581].end 9329.84721875
transcript.pyannote[1582].speaker SPEAKER_08
transcript.pyannote[1582].start 9330.38721875
transcript.pyannote[1582].end 9330.47159375
transcript.pyannote[1583].speaker SPEAKER_08
transcript.pyannote[1583].start 9330.55596875
transcript.pyannote[1583].end 9330.89346875
transcript.pyannote[1584].speaker SPEAKER_55
transcript.pyannote[1584].start 9330.89346875
transcript.pyannote[1584].end 9338.57159375
transcript.pyannote[1585].speaker SPEAKER_08
transcript.pyannote[1585].start 9331.14659375
transcript.pyannote[1585].end 9331.97346875
transcript.pyannote[1586].speaker SPEAKER_08
transcript.pyannote[1586].start 9335.09534375
transcript.pyannote[1586].end 9336.56346875
transcript.pyannote[1587].speaker SPEAKER_55
transcript.pyannote[1587].start 9338.70659375
transcript.pyannote[1587].end 9365.63909375
transcript.pyannote[1588].speaker SPEAKER_08
transcript.pyannote[1588].start 9341.44034375
transcript.pyannote[1588].end 9341.59221875
transcript.pyannote[1589].speaker SPEAKER_57
transcript.pyannote[1589].start 9341.59221875
transcript.pyannote[1589].end 9342.13221875
transcript.pyannote[1590].speaker SPEAKER_08
transcript.pyannote[1590].start 9360.45846875
transcript.pyannote[1590].end 9361.40346875
transcript.pyannote[1591].speaker SPEAKER_08
transcript.pyannote[1591].start 9365.77409375
transcript.pyannote[1591].end 9369.33471875
transcript.pyannote[1592].speaker SPEAKER_55
transcript.pyannote[1592].start 9366.51659375
transcript.pyannote[1592].end 9367.63034375
transcript.pyannote[1593].speaker SPEAKER_08
transcript.pyannote[1593].start 9369.73971875
transcript.pyannote[1593].end 9369.84096875
transcript.pyannote[1594].speaker SPEAKER_08
transcript.pyannote[1594].start 9370.53284375
transcript.pyannote[1594].end 9374.32971875
transcript.pyannote[1595].speaker SPEAKER_55
transcript.pyannote[1595].start 9372.03471875
transcript.pyannote[1595].end 9381.87284375
transcript.pyannote[1596].speaker SPEAKER_55
transcript.pyannote[1596].start 9382.22721875
transcript.pyannote[1596].end 9388.35284375
transcript.pyannote[1597].speaker SPEAKER_55
transcript.pyannote[1597].start 9388.58909375
transcript.pyannote[1597].end 9392.75721875
transcript.pyannote[1598].speaker SPEAKER_08
transcript.pyannote[1598].start 9392.40284375
transcript.pyannote[1598].end 9402.25784375
transcript.pyannote[1599].speaker SPEAKER_55
transcript.pyannote[1599].start 9400.62096875
transcript.pyannote[1599].end 9406.47659375
transcript.pyannote[1600].speaker SPEAKER_08
transcript.pyannote[1600].start 9406.71284375
transcript.pyannote[1600].end 9406.88159375
transcript.pyannote[1601].speaker SPEAKER_55
transcript.pyannote[1601].start 9406.88159375
transcript.pyannote[1601].end 9408.82221875
transcript.pyannote[1602].speaker SPEAKER_55
transcript.pyannote[1602].start 9409.05846875
transcript.pyannote[1602].end 9433.34159375
transcript.pyannote[1603].speaker SPEAKER_59
transcript.pyannote[1603].start 9410.34096875
transcript.pyannote[1603].end 9410.45909375
transcript.pyannote[1604].speaker SPEAKER_08
transcript.pyannote[1604].start 9410.45909375
transcript.pyannote[1604].end 9410.47596875
transcript.pyannote[1605].speaker SPEAKER_59
transcript.pyannote[1605].start 9410.47596875
transcript.pyannote[1605].end 9410.52659375
transcript.pyannote[1606].speaker SPEAKER_08
transcript.pyannote[1606].start 9410.52659375
transcript.pyannote[1606].end 9410.59409375
transcript.pyannote[1607].speaker SPEAKER_06
transcript.pyannote[1607].start 9414.79596875
transcript.pyannote[1607].end 9415.58909375
transcript.pyannote[1608].speaker SPEAKER_06
transcript.pyannote[1608].start 9416.34846875
transcript.pyannote[1608].end 9416.83784375
transcript.pyannote[1609].speaker SPEAKER_68
transcript.pyannote[1609].start 9425.98409375
transcript.pyannote[1609].end 9426.15284375
transcript.pyannote[1610].speaker SPEAKER_66
transcript.pyannote[1610].start 9427.78971875
transcript.pyannote[1610].end 9427.97534375
transcript.pyannote[1611].speaker SPEAKER_52
transcript.pyannote[1611].start 9432.22784375
transcript.pyannote[1611].end 9432.73409375
transcript.pyannote[1612].speaker SPEAKER_21
transcript.pyannote[1612].start 9434.59034375
transcript.pyannote[1612].end 9438.84284375
transcript.pyannote[1613].speaker SPEAKER_40
transcript.pyannote[1613].start 9445.40721875
transcript.pyannote[1613].end 9471.69846875
transcript.pyannote[1614].speaker SPEAKER_21
transcript.pyannote[1614].start 9473.63909375
transcript.pyannote[1614].end 9475.24221875
transcript.pyannote[1615].speaker SPEAKER_21
transcript.pyannote[1615].start 9476.59221875
transcript.pyannote[1615].end 9477.11534375
transcript.pyannote[1616].speaker SPEAKER_40
transcript.pyannote[1616].start 9478.63409375
transcript.pyannote[1616].end 9482.31284375
transcript.pyannote[1617].speaker SPEAKER_21
transcript.pyannote[1617].start 9480.54096875
transcript.pyannote[1617].end 9480.57471875
transcript.pyannote[1618].speaker SPEAKER_66
transcript.pyannote[1618].start 9480.57471875
transcript.pyannote[1618].end 9480.99659375
transcript.pyannote[1619].speaker SPEAKER_21
transcript.pyannote[1619].start 9480.99659375
transcript.pyannote[1619].end 9481.94159375
transcript.pyannote[1620].speaker SPEAKER_40
transcript.pyannote[1620].start 9482.86971875
transcript.pyannote[1620].end 9557.54159375
transcript.pyannote[1621].speaker SPEAKER_40
transcript.pyannote[1621].start 9557.96346875
transcript.pyannote[1621].end 9572.79659375
transcript.pyannote[1622].speaker SPEAKER_45
transcript.pyannote[1622].start 9569.10096875
transcript.pyannote[1622].end 9569.37096875
transcript.pyannote[1623].speaker SPEAKER_40
transcript.pyannote[1623].start 9573.57284375
transcript.pyannote[1623].end 9575.05784375
transcript.pyannote[1624].speaker SPEAKER_40
transcript.pyannote[1624].start 9575.12534375
transcript.pyannote[1624].end 9575.95221875
transcript.pyannote[1625].speaker SPEAKER_40
transcript.pyannote[1625].start 9576.10409375
transcript.pyannote[1625].end 9577.38659375
transcript.pyannote[1626].speaker SPEAKER_40
transcript.pyannote[1626].start 9577.90971875
transcript.pyannote[1626].end 9638.25471875
transcript.pyannote[1627].speaker SPEAKER_40
transcript.pyannote[1627].start 9638.55846875
transcript.pyannote[1627].end 9668.73096875
transcript.pyannote[1628].speaker SPEAKER_47
transcript.pyannote[1628].start 9670.57034375
transcript.pyannote[1628].end 9687.83346875
transcript.pyannote[1629].speaker SPEAKER_40
transcript.pyannote[1629].start 9685.55534375
transcript.pyannote[1629].end 9696.72659375
transcript.pyannote[1630].speaker SPEAKER_47
transcript.pyannote[1630].start 9692.55846875
transcript.pyannote[1630].end 9692.92971875
transcript.pyannote[1631].speaker SPEAKER_47
transcript.pyannote[1631].start 9694.60034375
transcript.pyannote[1631].end 9709.33221875
transcript.pyannote[1632].speaker SPEAKER_40
transcript.pyannote[1632].start 9696.82784375
transcript.pyannote[1632].end 9697.24971875
transcript.pyannote[1633].speaker SPEAKER_40
transcript.pyannote[1633].start 9703.54409375
transcript.pyannote[1633].end 9709.36596875
transcript.pyannote[1634].speaker SPEAKER_47
transcript.pyannote[1634].start 9709.36596875
transcript.pyannote[1634].end 9709.55159375
transcript.pyannote[1635].speaker SPEAKER_40
transcript.pyannote[1635].start 9709.55159375
transcript.pyannote[1635].end 9713.61846875
transcript.pyannote[1636].speaker SPEAKER_47
transcript.pyannote[1636].start 9712.40346875
transcript.pyannote[1636].end 9719.18721875
transcript.pyannote[1637].speaker SPEAKER_40
transcript.pyannote[1637].start 9717.63471875
transcript.pyannote[1637].end 9720.80721875
transcript.pyannote[1638].speaker SPEAKER_47
transcript.pyannote[1638].start 9720.67221875
transcript.pyannote[1638].end 9726.66284375
transcript.pyannote[1639].speaker SPEAKER_40
transcript.pyannote[1639].start 9721.11096875
transcript.pyannote[1639].end 9722.02221875
transcript.pyannote[1640].speaker SPEAKER_40
transcript.pyannote[1640].start 9723.18659375
transcript.pyannote[1640].end 9723.57471875
transcript.pyannote[1641].speaker SPEAKER_40
transcript.pyannote[1641].start 9724.46909375
transcript.pyannote[1641].end 9748.56659375
transcript.pyannote[1642].speaker SPEAKER_47
transcript.pyannote[1642].start 9730.99971875
transcript.pyannote[1642].end 9732.95721875
transcript.pyannote[1643].speaker SPEAKER_52
transcript.pyannote[1643].start 9734.52659375
transcript.pyannote[1643].end 9735.06659375
transcript.pyannote[1644].speaker SPEAKER_40
transcript.pyannote[1644].start 9748.61721875
transcript.pyannote[1644].end 9751.19909375
transcript.pyannote[1645].speaker SPEAKER_21
transcript.pyannote[1645].start 9753.24096875
transcript.pyannote[1645].end 9754.94534375
transcript.pyannote[1646].speaker SPEAKER_40
transcript.pyannote[1646].start 9756.09284375
transcript.pyannote[1646].end 9756.12659375
transcript.pyannote[1647].speaker SPEAKER_46
transcript.pyannote[1647].start 9756.12659375
transcript.pyannote[1647].end 9756.66659375
transcript.pyannote[1648].speaker SPEAKER_40
transcript.pyannote[1648].start 9774.25034375
transcript.pyannote[1648].end 9776.44409375
transcript.pyannote[1649].speaker SPEAKER_66
transcript.pyannote[1649].start 9774.50346875
transcript.pyannote[1649].end 9775.11096875
transcript.pyannote[1650].speaker SPEAKER_66
transcript.pyannote[1650].start 9776.05596875
transcript.pyannote[1650].end 9776.68034375
transcript.pyannote[1651].speaker SPEAKER_40
transcript.pyannote[1651].start 9776.98409375
transcript.pyannote[1651].end 9777.62534375
transcript.pyannote[1652].speaker SPEAKER_40
transcript.pyannote[1652].start 9778.26659375
transcript.pyannote[1652].end 9780.12284375
transcript.pyannote[1653].speaker SPEAKER_40
transcript.pyannote[1653].start 9780.84846875
transcript.pyannote[1653].end 9785.89409375
transcript.pyannote[1654].speaker SPEAKER_40
transcript.pyannote[1654].start 9787.63221875
transcript.pyannote[1654].end 9793.35284375
transcript.pyannote[1655].speaker SPEAKER_05
transcript.pyannote[1655].start 9789.69096875
transcript.pyannote[1655].end 9790.24784375
transcript.pyannote[1656].speaker SPEAKER_05
transcript.pyannote[1656].start 9792.93096875
transcript.pyannote[1656].end 9793.23471875
transcript.pyannote[1657].speaker SPEAKER_05
transcript.pyannote[1657].start 9795.20909375
transcript.pyannote[1657].end 9795.68159375
transcript.pyannote[1658].speaker SPEAKER_40
transcript.pyannote[1658].start 9796.47471875
transcript.pyannote[1658].end 9797.43659375
transcript.pyannote[1659].speaker SPEAKER_05
transcript.pyannote[1659].start 9798.26346875
transcript.pyannote[1659].end 9798.82034375
transcript.pyannote[1660].speaker SPEAKER_05
transcript.pyannote[1660].start 9798.95534375
transcript.pyannote[1660].end 9803.88284375
transcript.pyannote[1661].speaker SPEAKER_40
transcript.pyannote[1661].start 9803.88284375
transcript.pyannote[1661].end 9804.33846875
transcript.pyannote[1662].speaker SPEAKER_05
transcript.pyannote[1662].start 9803.89971875
transcript.pyannote[1662].end 9805.01346875
transcript.pyannote[1663].speaker SPEAKER_40
transcript.pyannote[1663].start 9805.23284375
transcript.pyannote[1663].end 9808.79346875
transcript.pyannote[1664].speaker SPEAKER_40
transcript.pyannote[1664].start 9809.55284375
transcript.pyannote[1664].end 9815.27346875
transcript.pyannote[1665].speaker SPEAKER_40
transcript.pyannote[1665].start 9815.84721875
transcript.pyannote[1665].end 9820.01534375
transcript.pyannote[1666].speaker SPEAKER_40
transcript.pyannote[1666].start 9821.07846875
transcript.pyannote[1666].end 9828.55409375
transcript.pyannote[1667].speaker SPEAKER_40
transcript.pyannote[1667].start 9828.99284375
transcript.pyannote[1667].end 9830.69721875
transcript.pyannote[1668].speaker SPEAKER_05
transcript.pyannote[1668].start 9830.07284375
transcript.pyannote[1668].end 9837.93659375
transcript.pyannote[1669].speaker SPEAKER_40
transcript.pyannote[1669].start 9837.59909375
transcript.pyannote[1669].end 9838.13909375
transcript.pyannote[1670].speaker SPEAKER_40
transcript.pyannote[1670].start 9838.69596875
transcript.pyannote[1670].end 9865.71284375
transcript.pyannote[1671].speaker SPEAKER_05
transcript.pyannote[1671].start 9838.83096875
transcript.pyannote[1671].end 9840.50159375
transcript.pyannote[1672].speaker SPEAKER_62
transcript.pyannote[1672].start 9855.33471875
transcript.pyannote[1672].end 9856.02659375
transcript.pyannote[1673].speaker SPEAKER_66
transcript.pyannote[1673].start 9856.02659375
transcript.pyannote[1673].end 9858.11909375
transcript.pyannote[1674].speaker SPEAKER_52
transcript.pyannote[1674].start 9858.11909375
transcript.pyannote[1674].end 9858.18659375
transcript.pyannote[1675].speaker SPEAKER_66
transcript.pyannote[1675].start 9858.35534375
transcript.pyannote[1675].end 9858.49034375
transcript.pyannote[1676].speaker SPEAKER_66
transcript.pyannote[1676].start 9859.35096875
transcript.pyannote[1676].end 9859.53659375
transcript.pyannote[1677].speaker SPEAKER_21
transcript.pyannote[1677].start 9859.53659375
transcript.pyannote[1677].end 9862.42221875
transcript.pyannote[1678].speaker SPEAKER_66
transcript.pyannote[1678].start 9862.42221875
transcript.pyannote[1678].end 9862.47284375
transcript.pyannote[1679].speaker SPEAKER_21
transcript.pyannote[1679].start 9865.59471875
transcript.pyannote[1679].end 9872.42909375
transcript.pyannote[1680].speaker SPEAKER_55
transcript.pyannote[1680].start 10482.37596875
transcript.pyannote[1680].end 10485.85221875
transcript.pyannote[1681].speaker SPEAKER_55
transcript.pyannote[1681].start 10487.18534375
transcript.pyannote[1681].end 10488.18096875
transcript.pyannote[1682].speaker SPEAKER_55
transcript.pyannote[1682].start 10491.80909375
transcript.pyannote[1682].end 10496.09534375
transcript.pyannote[1683].speaker SPEAKER_55
transcript.pyannote[1683].start 10496.39909375
transcript.pyannote[1683].end 10497.07409375
transcript.pyannote[1684].speaker SPEAKER_07
transcript.pyannote[1684].start 10505.66346875
transcript.pyannote[1684].end 10505.68034375
transcript.pyannote[1685].speaker SPEAKER_59
transcript.pyannote[1685].start 10505.68034375
transcript.pyannote[1685].end 10507.11471875
transcript.pyannote[1686].speaker SPEAKER_59
transcript.pyannote[1686].start 10507.90784375
transcript.pyannote[1686].end 10509.20721875
transcript.pyannote[1687].speaker SPEAKER_59
transcript.pyannote[1687].start 10509.74721875
transcript.pyannote[1687].end 10511.04659375
transcript.pyannote[1688].speaker SPEAKER_07
transcript.pyannote[1688].start 10521.25596875
transcript.pyannote[1688].end 10532.35971875
transcript.pyannote[1689].speaker SPEAKER_07
transcript.pyannote[1689].start 10536.17346875
transcript.pyannote[1689].end 10536.57846875
transcript.pyannote[1690].speaker SPEAKER_47
transcript.pyannote[1690].start 10536.57846875
transcript.pyannote[1690].end 10537.40534375
transcript.pyannote[1691].speaker SPEAKER_07
transcript.pyannote[1691].start 10537.40534375
transcript.pyannote[1691].end 10540.83096875
transcript.pyannote[1692].speaker SPEAKER_47
transcript.pyannote[1692].start 10540.72971875
transcript.pyannote[1692].end 10543.95284375
transcript.pyannote[1693].speaker SPEAKER_07
transcript.pyannote[1693].start 10541.86034375
transcript.pyannote[1693].end 10542.40034375
transcript.pyannote[1694].speaker SPEAKER_07
transcript.pyannote[1694].start 10544.29034375
transcript.pyannote[1694].end 10544.84721875
transcript.pyannote[1695].speaker SPEAKER_07
transcript.pyannote[1695].start 10544.96534375
transcript.pyannote[1695].end 10545.92721875
transcript.pyannote[1696].speaker SPEAKER_07
transcript.pyannote[1696].start 10546.55159375
transcript.pyannote[1696].end 10565.24909375
transcript.pyannote[1697].speaker SPEAKER_47
transcript.pyannote[1697].start 10566.36284375
transcript.pyannote[1697].end 10605.71534375
transcript.pyannote[1698].speaker SPEAKER_07
transcript.pyannote[1698].start 10606.22159375
transcript.pyannote[1698].end 10620.12659375
transcript.pyannote[1699].speaker SPEAKER_47
transcript.pyannote[1699].start 10621.03784375
transcript.pyannote[1699].end 10624.76721875
transcript.pyannote[1700].speaker SPEAKER_59
transcript.pyannote[1700].start 10626.67409375
transcript.pyannote[1700].end 10627.66971875
transcript.pyannote[1701].speaker SPEAKER_59
transcript.pyannote[1701].start 10628.91846875
transcript.pyannote[1701].end 10630.18409375
transcript.pyannote[1702].speaker SPEAKER_41
transcript.pyannote[1702].start 10642.68846875
transcript.pyannote[1702].end 10644.24096875
transcript.pyannote[1703].speaker SPEAKER_66
transcript.pyannote[1703].start 10644.24096875
transcript.pyannote[1703].end 10644.25784375
transcript.pyannote[1704].speaker SPEAKER_41
transcript.pyannote[1704].start 10644.25784375
transcript.pyannote[1704].end 10644.27471875
transcript.pyannote[1705].speaker SPEAKER_66
transcript.pyannote[1705].start 10644.27471875
transcript.pyannote[1705].end 10644.57846875
transcript.pyannote[1706].speaker SPEAKER_41
transcript.pyannote[1706].start 10644.57846875
transcript.pyannote[1706].end 10645.03409375
transcript.pyannote[1707].speaker SPEAKER_66
transcript.pyannote[1707].start 10645.03409375
transcript.pyannote[1707].end 10645.65846875
transcript.pyannote[1708].speaker SPEAKER_41
transcript.pyannote[1708].start 10645.65846875
transcript.pyannote[1708].end 10654.39971875
transcript.pyannote[1709].speaker SPEAKER_66
transcript.pyannote[1709].start 10645.74284375
transcript.pyannote[1709].end 10646.02971875
transcript.pyannote[1710].speaker SPEAKER_41
transcript.pyannote[1710].start 10654.46721875
transcript.pyannote[1710].end 10666.46534375
transcript.pyannote[1711].speaker SPEAKER_07
transcript.pyannote[1711].start 10667.93346875
transcript.pyannote[1711].end 10675.98284375
transcript.pyannote[1712].speaker SPEAKER_07
transcript.pyannote[1712].start 10676.28659375
transcript.pyannote[1712].end 10690.56284375
transcript.pyannote[1713].speaker SPEAKER_07
transcript.pyannote[1713].start 10691.18721875
transcript.pyannote[1713].end 10695.37221875
transcript.pyannote[1714].speaker SPEAKER_07
transcript.pyannote[1714].start 10695.92909375
transcript.pyannote[1714].end 10703.79284375
transcript.pyannote[1715].speaker SPEAKER_41
transcript.pyannote[1715].start 10703.79284375
transcript.pyannote[1715].end 10737.27284375
transcript.pyannote[1716].speaker SPEAKER_07
transcript.pyannote[1716].start 10737.27284375
transcript.pyannote[1716].end 10737.91409375
transcript.pyannote[1717].speaker SPEAKER_41
transcript.pyannote[1717].start 10737.91409375
transcript.pyannote[1717].end 10738.13346875
transcript.pyannote[1718].speaker SPEAKER_07
transcript.pyannote[1718].start 10738.13346875
transcript.pyannote[1718].end 10738.16721875
transcript.pyannote[1719].speaker SPEAKER_07
transcript.pyannote[1719].start 10738.92659375
transcript.pyannote[1719].end 10740.54659375
transcript.pyannote[1720].speaker SPEAKER_07
transcript.pyannote[1720].start 10740.95159375
transcript.pyannote[1720].end 10756.08846875
transcript.pyannote[1721].speaker SPEAKER_46
transcript.pyannote[1721].start 10757.75909375
transcript.pyannote[1721].end 10757.77596875
transcript.pyannote[1722].speaker SPEAKER_47
transcript.pyannote[1722].start 10757.77596875
transcript.pyannote[1722].end 10759.17659375
transcript.pyannote[1723].speaker SPEAKER_46
transcript.pyannote[1723].start 10759.17659375
transcript.pyannote[1723].end 10759.19346875
transcript.pyannote[1724].speaker SPEAKER_07
transcript.pyannote[1724].start 10759.32846875
transcript.pyannote[1724].end 10766.53409375
transcript.pyannote[1725].speaker SPEAKER_46
transcript.pyannote[1725].start 10759.80096875
transcript.pyannote[1725].end 10759.85159375
transcript.pyannote[1726].speaker SPEAKER_47
transcript.pyannote[1726].start 10759.85159375
transcript.pyannote[1726].end 10760.35784375
transcript.pyannote[1727].speaker SPEAKER_47
transcript.pyannote[1727].start 10766.87159375
transcript.pyannote[1727].end 10782.19409375
transcript.pyannote[1728].speaker SPEAKER_07
transcript.pyannote[1728].start 10781.89034375
transcript.pyannote[1728].end 10783.44284375
transcript.pyannote[1729].speaker SPEAKER_07
transcript.pyannote[1729].start 10784.32034375
transcript.pyannote[1729].end 10818.20534375
transcript.pyannote[1730].speaker SPEAKER_47
transcript.pyannote[1730].start 10818.91409375
transcript.pyannote[1730].end 10824.07784375
transcript.pyannote[1731].speaker SPEAKER_07
transcript.pyannote[1731].start 10821.15846875
transcript.pyannote[1731].end 10822.20471875
transcript.pyannote[1732].speaker SPEAKER_55
transcript.pyannote[1732].start 10826.62596875
transcript.pyannote[1732].end 10828.46534375
transcript.pyannote[1733].speaker SPEAKER_55
transcript.pyannote[1733].start 10829.08971875
transcript.pyannote[1733].end 10831.80659375
transcript.pyannote[1734].speaker SPEAKER_61
transcript.pyannote[1734].start 10838.47221875
transcript.pyannote[1734].end 10843.02846875
transcript.pyannote[1735].speaker SPEAKER_59
transcript.pyannote[1735].start 10843.02846875
transcript.pyannote[1735].end 10845.69471875
transcript.pyannote[1736].speaker SPEAKER_61
transcript.pyannote[1736].start 10849.62659375
transcript.pyannote[1736].end 10897.83846875
transcript.pyannote[1737].speaker SPEAKER_08
transcript.pyannote[1737].start 10894.63221875
transcript.pyannote[1737].end 10894.81784375
transcript.pyannote[1738].speaker SPEAKER_08
transcript.pyannote[1738].start 10898.17596875
transcript.pyannote[1738].end 10900.03221875
transcript.pyannote[1739].speaker SPEAKER_08
transcript.pyannote[1739].start 10900.63971875
transcript.pyannote[1739].end 10901.34846875
transcript.pyannote[1740].speaker SPEAKER_08
transcript.pyannote[1740].start 10901.93909375
transcript.pyannote[1740].end 10906.46159375
transcript.pyannote[1741].speaker SPEAKER_08
transcript.pyannote[1741].start 10906.73159375
transcript.pyannote[1741].end 10914.52784375
transcript.pyannote[1742].speaker SPEAKER_61
transcript.pyannote[1742].start 10912.18221875
transcript.pyannote[1742].end 10912.48596875
transcript.pyannote[1743].speaker SPEAKER_61
transcript.pyannote[1743].start 10913.39721875
transcript.pyannote[1743].end 10913.81909375
transcript.pyannote[1744].speaker SPEAKER_66
transcript.pyannote[1744].start 10913.81909375
transcript.pyannote[1744].end 10913.86971875
transcript.pyannote[1745].speaker SPEAKER_08
transcript.pyannote[1745].start 10914.91596875
transcript.pyannote[1745].end 10934.98034375
transcript.pyannote[1746].speaker SPEAKER_08
transcript.pyannote[1746].start 10935.33471875
transcript.pyannote[1746].end 10938.49034375
transcript.pyannote[1747].speaker SPEAKER_08
transcript.pyannote[1747].start 10938.81096875
transcript.pyannote[1747].end 10947.09659375
transcript.pyannote[1748].speaker SPEAKER_08
transcript.pyannote[1748].start 10947.19784375
transcript.pyannote[1748].end 10949.40846875
transcript.pyannote[1749].speaker SPEAKER_08
transcript.pyannote[1749].start 10949.66159375
transcript.pyannote[1749].end 10952.68221875
transcript.pyannote[1750].speaker SPEAKER_08
transcript.pyannote[1750].start 10953.05346875
transcript.pyannote[1750].end 10953.93096875
transcript.pyannote[1751].speaker SPEAKER_08
transcript.pyannote[1751].start 10954.23471875
transcript.pyannote[1751].end 10958.58846875
transcript.pyannote[1752].speaker SPEAKER_61
transcript.pyannote[1752].start 10958.58846875
transcript.pyannote[1752].end 10988.45721875
transcript.pyannote[1753].speaker SPEAKER_52
transcript.pyannote[1753].start 10966.72221875
transcript.pyannote[1753].end 10966.75596875
transcript.pyannote[1754].speaker SPEAKER_19
transcript.pyannote[1754].start 10966.75596875
transcript.pyannote[1754].end 10966.85721875
transcript.pyannote[1755].speaker SPEAKER_52
transcript.pyannote[1755].start 10966.85721875
transcript.pyannote[1755].end 10967.12721875
transcript.pyannote[1756].speaker SPEAKER_52
transcript.pyannote[1756].start 10969.52346875
transcript.pyannote[1756].end 10969.92846875
transcript.pyannote[1757].speaker SPEAKER_52
transcript.pyannote[1757].start 10970.09721875
transcript.pyannote[1757].end 10970.73846875
transcript.pyannote[1758].speaker SPEAKER_52
transcript.pyannote[1758].start 10976.02034375
transcript.pyannote[1758].end 10976.03721875
transcript.pyannote[1759].speaker SPEAKER_66
transcript.pyannote[1759].start 10976.03721875
transcript.pyannote[1759].end 10976.64471875
transcript.pyannote[1760].speaker SPEAKER_66
transcript.pyannote[1760].start 10979.78346875
transcript.pyannote[1760].end 10980.15471875
transcript.pyannote[1761].speaker SPEAKER_66
transcript.pyannote[1761].start 10982.39909375
transcript.pyannote[1761].end 10983.04034375
transcript.pyannote[1762].speaker SPEAKER_08
transcript.pyannote[1762].start 10985.94284375
transcript.pyannote[1762].end 10986.55034375
transcript.pyannote[1763].speaker SPEAKER_08
transcript.pyannote[1763].start 10988.22096875
transcript.pyannote[1763].end 10989.25034375
transcript.pyannote[1764].speaker SPEAKER_61
transcript.pyannote[1764].start 10988.50784375
transcript.pyannote[1764].end 10988.86221875
transcript.pyannote[1765].speaker SPEAKER_61
transcript.pyannote[1765].start 10988.98034375
transcript.pyannote[1765].end 11028.40034375
transcript.pyannote[1766].speaker SPEAKER_52
transcript.pyannote[1766].start 11014.54596875
transcript.pyannote[1766].end 11014.88346875
transcript.pyannote[1767].speaker SPEAKER_08
transcript.pyannote[1767].start 11028.50159375
transcript.pyannote[1767].end 11044.97159375
transcript.pyannote[1768].speaker SPEAKER_61
transcript.pyannote[1768].start 11043.46971875
transcript.pyannote[1768].end 11083.93596875
transcript.pyannote[1769].speaker SPEAKER_08
transcript.pyannote[1769].start 11045.62971875
transcript.pyannote[1769].end 11046.25409375
transcript.pyannote[1770].speaker SPEAKER_08
transcript.pyannote[1770].start 11048.11034375
transcript.pyannote[1770].end 11048.26221875
transcript.pyannote[1771].speaker SPEAKER_06
transcript.pyannote[1771].start 11053.49346875
transcript.pyannote[1771].end 11054.30346875
transcript.pyannote[1772].speaker SPEAKER_08
transcript.pyannote[1772].start 11084.37471875
transcript.pyannote[1772].end 11090.11221875
transcript.pyannote[1773].speaker SPEAKER_08
transcript.pyannote[1773].start 11090.43284375
transcript.pyannote[1773].end 11096.05221875
transcript.pyannote[1774].speaker SPEAKER_08
transcript.pyannote[1774].start 11096.18721875
transcript.pyannote[1774].end 11098.81971875
transcript.pyannote[1775].speaker SPEAKER_08
transcript.pyannote[1775].start 11099.03909375
transcript.pyannote[1775].end 11102.63346875
transcript.pyannote[1776].speaker SPEAKER_61
transcript.pyannote[1776].start 11102.66721875
transcript.pyannote[1776].end 11105.08034375
transcript.pyannote[1777].speaker SPEAKER_08
transcript.pyannote[1777].start 11104.82721875
transcript.pyannote[1777].end 11105.95784375
transcript.pyannote[1778].speaker SPEAKER_08
transcript.pyannote[1778].start 11106.17721875
transcript.pyannote[1778].end 11116.97721875
transcript.pyannote[1779].speaker SPEAKER_61
transcript.pyannote[1779].start 11116.97721875
transcript.pyannote[1779].end 11117.36534375
transcript.pyannote[1780].speaker SPEAKER_08
transcript.pyannote[1780].start 11117.36534375
transcript.pyannote[1780].end 11117.38221875
transcript.pyannote[1781].speaker SPEAKER_61
transcript.pyannote[1781].start 11117.38221875
transcript.pyannote[1781].end 11117.55096875
transcript.pyannote[1782].speaker SPEAKER_08
transcript.pyannote[1782].start 11117.55096875
transcript.pyannote[1782].end 11117.56784375
transcript.pyannote[1783].speaker SPEAKER_61
transcript.pyannote[1783].start 11117.56784375
transcript.pyannote[1783].end 11117.58471875
transcript.pyannote[1784].speaker SPEAKER_08
transcript.pyannote[1784].start 11117.58471875
transcript.pyannote[1784].end 11117.65221875
transcript.pyannote[1785].speaker SPEAKER_61
transcript.pyannote[1785].start 11117.65221875
transcript.pyannote[1785].end 11117.70284375
transcript.pyannote[1786].speaker SPEAKER_08
transcript.pyannote[1786].start 11117.70284375
transcript.pyannote[1786].end 11117.75346875
transcript.pyannote[1787].speaker SPEAKER_61
transcript.pyannote[1787].start 11117.75346875
transcript.pyannote[1787].end 11117.85471875
transcript.pyannote[1788].speaker SPEAKER_08
transcript.pyannote[1788].start 11117.85471875
transcript.pyannote[1788].end 11117.95596875
transcript.pyannote[1789].speaker SPEAKER_61
transcript.pyannote[1789].start 11117.95596875
transcript.pyannote[1789].end 11119.74471875
transcript.pyannote[1790].speaker SPEAKER_08
transcript.pyannote[1790].start 11120.09909375
transcript.pyannote[1790].end 11123.27159375
transcript.pyannote[1791].speaker SPEAKER_61
transcript.pyannote[1791].start 11124.03096875
transcript.pyannote[1791].end 11157.89909375
transcript.pyannote[1792].speaker SPEAKER_52
transcript.pyannote[1792].start 11143.30221875
transcript.pyannote[1792].end 11143.60596875
transcript.pyannote[1793].speaker SPEAKER_66
transcript.pyannote[1793].start 11143.60596875
transcript.pyannote[1793].end 11143.97721875
transcript.pyannote[1794].speaker SPEAKER_52
transcript.pyannote[1794].start 11143.97721875
transcript.pyannote[1794].end 11144.14596875
transcript.pyannote[1795].speaker SPEAKER_08
transcript.pyannote[1795].start 11157.79784375
transcript.pyannote[1795].end 11168.04096875
transcript.pyannote[1796].speaker SPEAKER_61
transcript.pyannote[1796].start 11162.26971875
transcript.pyannote[1796].end 11162.86034375
transcript.pyannote[1797].speaker SPEAKER_61
transcript.pyannote[1797].start 11167.99034375
transcript.pyannote[1797].end 11195.73284375
transcript.pyannote[1798].speaker SPEAKER_47
transcript.pyannote[1798].start 11196.17159375
transcript.pyannote[1798].end 11204.82846875
transcript.pyannote[1799].speaker SPEAKER_61
transcript.pyannote[1799].start 11204.13659375
transcript.pyannote[1799].end 11209.14846875
transcript.pyannote[1800].speaker SPEAKER_47
transcript.pyannote[1800].start 11209.21596875
transcript.pyannote[1800].end 11216.42159375
transcript.pyannote[1801].speaker SPEAKER_61
transcript.pyannote[1801].start 11214.43034375
transcript.pyannote[1801].end 11214.68346875
transcript.pyannote[1802].speaker SPEAKER_61
transcript.pyannote[1802].start 11215.79721875
transcript.pyannote[1802].end 11218.80096875
transcript.pyannote[1803].speaker SPEAKER_47
transcript.pyannote[1803].start 11218.75034375
transcript.pyannote[1803].end 11224.43721875
transcript.pyannote[1804].speaker SPEAKER_61
transcript.pyannote[1804].start 11222.80034375
transcript.pyannote[1804].end 11232.13221875
transcript.pyannote[1805].speaker SPEAKER_47
transcript.pyannote[1805].start 11227.55909375
transcript.pyannote[1805].end 11227.94721875
transcript.pyannote[1806].speaker SPEAKER_55
transcript.pyannote[1806].start 11230.74846875
transcript.pyannote[1806].end 11238.89909375
transcript.pyannote[1807].speaker SPEAKER_52
transcript.pyannote[1807].start 11232.97596875
transcript.pyannote[1807].end 11233.09409375
transcript.pyannote[1808].speaker SPEAKER_61
transcript.pyannote[1808].start 11233.09409375
transcript.pyannote[1808].end 11233.51596875
transcript.pyannote[1809].speaker SPEAKER_27
transcript.pyannote[1809].start 11245.41284375
transcript.pyannote[1809].end 11246.54346875
transcript.pyannote[1810].speaker SPEAKER_27
transcript.pyannote[1810].start 11246.91471875
transcript.pyannote[1810].end 11253.76596875
transcript.pyannote[1811].speaker SPEAKER_59
transcript.pyannote[1811].start 11252.55096875
transcript.pyannote[1811].end 11254.47471875
transcript.pyannote[1812].speaker SPEAKER_27
transcript.pyannote[1812].start 11253.93471875
transcript.pyannote[1812].end 11254.49159375
transcript.pyannote[1813].speaker SPEAKER_59
transcript.pyannote[1813].start 11254.49159375
transcript.pyannote[1813].end 11254.54221875
transcript.pyannote[1814].speaker SPEAKER_27
transcript.pyannote[1814].start 11254.54221875
transcript.pyannote[1814].end 11255.20034375
transcript.pyannote[1815].speaker SPEAKER_59
transcript.pyannote[1815].start 11255.20034375
transcript.pyannote[1815].end 11255.25096875
transcript.pyannote[1816].speaker SPEAKER_59
transcript.pyannote[1816].start 11255.63909375
transcript.pyannote[1816].end 11256.73596875
transcript.pyannote[1817].speaker SPEAKER_27
transcript.pyannote[1817].start 11255.72346875
transcript.pyannote[1817].end 11255.75721875
transcript.pyannote[1818].speaker SPEAKER_27
transcript.pyannote[1818].start 11255.82471875
transcript.pyannote[1818].end 11255.95971875
transcript.pyannote[1819].speaker SPEAKER_59
transcript.pyannote[1819].start 11257.41096875
transcript.pyannote[1819].end 11258.20409375
transcript.pyannote[1820].speaker SPEAKER_59
transcript.pyannote[1820].start 11258.47409375
transcript.pyannote[1820].end 11260.00971875
transcript.pyannote[1821].speaker SPEAKER_27
transcript.pyannote[1821].start 11261.05596875
transcript.pyannote[1821].end 11262.16971875
transcript.pyannote[1822].speaker SPEAKER_37
transcript.pyannote[1822].start 11261.19096875
transcript.pyannote[1822].end 11261.71409375
transcript.pyannote[1823].speaker SPEAKER_27
transcript.pyannote[1823].start 11262.76034375
transcript.pyannote[1823].end 11264.09346875
transcript.pyannote[1824].speaker SPEAKER_27
transcript.pyannote[1824].start 11264.51534375
transcript.pyannote[1824].end 11269.45971875
transcript.pyannote[1825].speaker SPEAKER_27
transcript.pyannote[1825].start 11269.79721875
transcript.pyannote[1825].end 11270.23596875
transcript.pyannote[1826].speaker SPEAKER_27
transcript.pyannote[1826].start 11270.57346875
transcript.pyannote[1826].end 11280.09096875
transcript.pyannote[1827].speaker SPEAKER_37
transcript.pyannote[1827].start 11283.48284375
transcript.pyannote[1827].end 11287.71846875
transcript.pyannote[1828].speaker SPEAKER_27
transcript.pyannote[1828].start 11287.29659375
transcript.pyannote[1828].end 11290.18221875
transcript.pyannote[1829].speaker SPEAKER_37
transcript.pyannote[1829].start 11292.62909375
transcript.pyannote[1829].end 11293.11846875
transcript.pyannote[1830].speaker SPEAKER_27
transcript.pyannote[1830].start 11293.23659375
transcript.pyannote[1830].end 11295.31221875
transcript.pyannote[1831].speaker SPEAKER_37
transcript.pyannote[1831].start 11295.44721875
transcript.pyannote[1831].end 11298.77159375
transcript.pyannote[1832].speaker SPEAKER_27
transcript.pyannote[1832].start 11297.94471875
transcript.pyannote[1832].end 11298.83909375
transcript.pyannote[1833].speaker SPEAKER_37
transcript.pyannote[1833].start 11299.21034375
transcript.pyannote[1833].end 11300.39159375
transcript.pyannote[1834].speaker SPEAKER_27
transcript.pyannote[1834].start 11301.62346875
transcript.pyannote[1834].end 11303.69909375
transcript.pyannote[1835].speaker SPEAKER_37
transcript.pyannote[1835].start 11302.51784375
transcript.pyannote[1835].end 11302.87221875
transcript.pyannote[1836].speaker SPEAKER_37
transcript.pyannote[1836].start 11303.61471875
transcript.pyannote[1836].end 11305.04909375
transcript.pyannote[1837].speaker SPEAKER_27
transcript.pyannote[1837].start 11303.86784375
transcript.pyannote[1837].end 11304.47534375
transcript.pyannote[1838].speaker SPEAKER_27
transcript.pyannote[1838].start 11305.13346875
transcript.pyannote[1838].end 11308.82909375
transcript.pyannote[1839].speaker SPEAKER_27
transcript.pyannote[1839].start 11309.40284375
transcript.pyannote[1839].end 11312.06909375
transcript.pyannote[1840].speaker SPEAKER_27
transcript.pyannote[1840].start 11313.18284375
transcript.pyannote[1840].end 11313.67221875
transcript.pyannote[1841].speaker SPEAKER_27
transcript.pyannote[1841].start 11313.70596875
transcript.pyannote[1841].end 11314.38096875
transcript.pyannote[1842].speaker SPEAKER_37
transcript.pyannote[1842].start 11315.19096875
transcript.pyannote[1842].end 11326.29471875
transcript.pyannote[1843].speaker SPEAKER_27
transcript.pyannote[1843].start 11326.29471875
transcript.pyannote[1843].end 11338.27596875
transcript.pyannote[1844].speaker SPEAKER_37
transcript.pyannote[1844].start 11339.71034375
transcript.pyannote[1844].end 11342.19096875
transcript.pyannote[1845].speaker SPEAKER_27
transcript.pyannote[1845].start 11342.08971875
transcript.pyannote[1845].end 11343.86159375
transcript.pyannote[1846].speaker SPEAKER_27
transcript.pyannote[1846].start 11347.25346875
transcript.pyannote[1846].end 11348.33346875
transcript.pyannote[1847].speaker SPEAKER_27
transcript.pyannote[1847].start 11355.87659375
transcript.pyannote[1847].end 11356.43346875
transcript.pyannote[1848].speaker SPEAKER_17
transcript.pyannote[1848].start 11356.43346875
transcript.pyannote[1848].end 11356.73721875
transcript.pyannote[1849].speaker SPEAKER_47
transcript.pyannote[1849].start 11356.73721875
transcript.pyannote[1849].end 11356.77096875
transcript.pyannote[1850].speaker SPEAKER_27
transcript.pyannote[1850].start 11356.77096875
transcript.pyannote[1850].end 11356.80471875
transcript.pyannote[1851].speaker SPEAKER_27
transcript.pyannote[1851].start 11356.90596875
transcript.pyannote[1851].end 11357.51346875
transcript.pyannote[1852].speaker SPEAKER_27
transcript.pyannote[1852].start 11357.81721875
transcript.pyannote[1852].end 11363.75721875
transcript.pyannote[1853].speaker SPEAKER_47
transcript.pyannote[1853].start 11364.43221875
transcript.pyannote[1853].end 11382.91034375
transcript.pyannote[1854].speaker SPEAKER_27
transcript.pyannote[1854].start 11366.33909375
transcript.pyannote[1854].end 11367.50346875
transcript.pyannote[1855].speaker SPEAKER_27
transcript.pyannote[1855].start 11371.38471875
transcript.pyannote[1855].end 11371.78971875
transcript.pyannote[1856].speaker SPEAKER_12
transcript.pyannote[1856].start 11371.78971875
transcript.pyannote[1856].end 11371.85721875
transcript.pyannote[1857].speaker SPEAKER_47
transcript.pyannote[1857].start 11382.96096875
transcript.pyannote[1857].end 11382.97784375
transcript.pyannote[1858].speaker SPEAKER_47
transcript.pyannote[1858].start 11382.99471875
transcript.pyannote[1858].end 11383.06221875
transcript.pyannote[1859].speaker SPEAKER_27
transcript.pyannote[1859].start 11383.06221875
transcript.pyannote[1859].end 11396.71409375
transcript.pyannote[1860].speaker SPEAKER_47
transcript.pyannote[1860].start 11397.22034375
transcript.pyannote[1860].end 11406.07971875
transcript.pyannote[1861].speaker SPEAKER_27
transcript.pyannote[1861].start 11404.07159375
transcript.pyannote[1861].end 11404.72971875
transcript.pyannote[1862].speaker SPEAKER_27
transcript.pyannote[1862].start 11406.19784375
transcript.pyannote[1862].end 11410.07909375
transcript.pyannote[1863].speaker SPEAKER_27
transcript.pyannote[1863].start 11410.19721875
transcript.pyannote[1863].end 11410.65284375
transcript.pyannote[1864].speaker SPEAKER_27
transcript.pyannote[1864].start 11411.59784375
transcript.pyannote[1864].end 11423.07284375
transcript.pyannote[1865].speaker SPEAKER_27
transcript.pyannote[1865].start 11424.08534375
transcript.pyannote[1865].end 11425.46909375
transcript.pyannote[1866].speaker SPEAKER_27
transcript.pyannote[1866].start 11426.12721875
transcript.pyannote[1866].end 11428.28721875
transcript.pyannote[1867].speaker SPEAKER_27
transcript.pyannote[1867].start 11428.77659375
transcript.pyannote[1867].end 11445.48284375
transcript.pyannote[1868].speaker SPEAKER_47
transcript.pyannote[1868].start 11446.64721875
transcript.pyannote[1868].end 11453.29596875
transcript.pyannote[1869].speaker SPEAKER_27
transcript.pyannote[1869].start 11454.25784375
transcript.pyannote[1869].end 11456.73846875
transcript.pyannote[1870].speaker SPEAKER_27
transcript.pyannote[1870].start 11456.78909375
transcript.pyannote[1870].end 11456.83971875
transcript.pyannote[1871].speaker SPEAKER_47
transcript.pyannote[1871].start 11456.83971875
transcript.pyannote[1871].end 11457.29534375
transcript.pyannote[1872].speaker SPEAKER_27
transcript.pyannote[1872].start 11456.85659375
transcript.pyannote[1872].end 11456.87346875
transcript.pyannote[1873].speaker SPEAKER_27
transcript.pyannote[1873].start 11457.07596875
transcript.pyannote[1873].end 11458.15596875
transcript.pyannote[1874].speaker SPEAKER_31
transcript.pyannote[1874].start 11457.29534375
transcript.pyannote[1874].end 11457.31221875
transcript.pyannote[1875].speaker SPEAKER_27
transcript.pyannote[1875].start 11458.51034375
transcript.pyannote[1875].end 11462.74596875
transcript.pyannote[1876].speaker SPEAKER_27
transcript.pyannote[1876].start 11463.97784375
transcript.pyannote[1876].end 11470.27221875
transcript.pyannote[1877].speaker SPEAKER_27
transcript.pyannote[1877].start 11471.13284375
transcript.pyannote[1877].end 11472.02721875
transcript.pyannote[1878].speaker SPEAKER_27
transcript.pyannote[1878].start 11472.21284375
transcript.pyannote[1878].end 11474.06909375
transcript.pyannote[1879].speaker SPEAKER_27
transcript.pyannote[1879].start 11475.99284375
transcript.pyannote[1879].end 11478.40596875
transcript.pyannote[1880].speaker SPEAKER_27
transcript.pyannote[1880].start 11478.92909375
transcript.pyannote[1880].end 11480.05971875
transcript.pyannote[1881].speaker SPEAKER_27
transcript.pyannote[1881].start 11480.71784375
transcript.pyannote[1881].end 11482.42221875
transcript.pyannote[1882].speaker SPEAKER_27
transcript.pyannote[1882].start 11483.01284375
transcript.pyannote[1882].end 11484.19409375
transcript.pyannote[1883].speaker SPEAKER_27
transcript.pyannote[1883].start 11484.64971875
transcript.pyannote[1883].end 11491.02846875
transcript.pyannote[1884].speaker SPEAKER_27
transcript.pyannote[1884].start 11491.14659375
transcript.pyannote[1884].end 11493.66096875
transcript.pyannote[1885].speaker SPEAKER_47
transcript.pyannote[1885].start 11495.24721875
transcript.pyannote[1885].end 11502.45284375
transcript.pyannote[1886].speaker SPEAKER_27
transcript.pyannote[1886].start 11502.99284375
transcript.pyannote[1886].end 11510.02971875
transcript.pyannote[1887].speaker SPEAKER_27
transcript.pyannote[1887].start 11510.41784375
transcript.pyannote[1887].end 11513.35409375
transcript.pyannote[1888].speaker SPEAKER_27
transcript.pyannote[1888].start 11514.16409375
transcript.pyannote[1888].end 11515.19346875
transcript.pyannote[1889].speaker SPEAKER_27
transcript.pyannote[1889].start 11517.01596875
transcript.pyannote[1889].end 11518.04534375
transcript.pyannote[1890].speaker SPEAKER_47
transcript.pyannote[1890].start 11519.24346875
transcript.pyannote[1890].end 11522.95596875
transcript.pyannote[1891].speaker SPEAKER_27
transcript.pyannote[1891].start 11522.95596875
transcript.pyannote[1891].end 11532.49034375
transcript.pyannote[1892].speaker SPEAKER_27
transcript.pyannote[1892].start 11533.01346875
transcript.pyannote[1892].end 11533.92471875
transcript.pyannote[1893].speaker SPEAKER_27
transcript.pyannote[1893].start 11534.26221875
transcript.pyannote[1893].end 11535.40971875
transcript.pyannote[1894].speaker SPEAKER_27
transcript.pyannote[1894].start 11536.16909375
transcript.pyannote[1894].end 11540.64096875
transcript.pyannote[1895].speaker SPEAKER_47
transcript.pyannote[1895].start 11541.24846875
transcript.pyannote[1895].end 11550.04034375
transcript.pyannote[1896].speaker SPEAKER_47
transcript.pyannote[1896].start 11550.59721875
transcript.pyannote[1896].end 11564.75534375
transcript.pyannote[1897].speaker SPEAKER_66
transcript.pyannote[1897].start 11556.35159375
transcript.pyannote[1897].end 11557.12784375
transcript.pyannote[1898].speaker SPEAKER_66
transcript.pyannote[1898].start 11557.88721875
transcript.pyannote[1898].end 11557.92096875
transcript.pyannote[1899].speaker SPEAKER_27
transcript.pyannote[1899].start 11557.92096875
transcript.pyannote[1899].end 11558.41034375
transcript.pyannote[1900].speaker SPEAKER_27
transcript.pyannote[1900].start 11564.75534375
transcript.pyannote[1900].end 11569.68284375
transcript.pyannote[1901].speaker SPEAKER_47
transcript.pyannote[1901].start 11569.68284375
transcript.pyannote[1901].end 11583.53721875
transcript.pyannote[1902].speaker SPEAKER_27
transcript.pyannote[1902].start 11580.68534375
transcript.pyannote[1902].end 11582.98034375
transcript.pyannote[1903].speaker SPEAKER_27
transcript.pyannote[1903].start 11583.46971875
transcript.pyannote[1903].end 11599.70346875
transcript.pyannote[1904].speaker SPEAKER_47
transcript.pyannote[1904].start 11600.02409375
transcript.pyannote[1904].end 11605.20471875
transcript.pyannote[1905].speaker SPEAKER_27
transcript.pyannote[1905].start 11605.20471875
transcript.pyannote[1905].end 11610.85784375
transcript.pyannote[1906].speaker SPEAKER_47
transcript.pyannote[1906].start 11605.25534375
transcript.pyannote[1906].end 11605.45784375
transcript.pyannote[1907].speaker SPEAKER_47
transcript.pyannote[1907].start 11611.60034375
transcript.pyannote[1907].end 11613.54096875
transcript.pyannote[1908].speaker SPEAKER_27
transcript.pyannote[1908].start 11613.99659375
transcript.pyannote[1908].end 11616.62909375
transcript.pyannote[1909].speaker SPEAKER_47
transcript.pyannote[1909].start 11614.43534375
transcript.pyannote[1909].end 11615.75159375
transcript.pyannote[1910].speaker SPEAKER_27
transcript.pyannote[1910].start 11616.93284375
transcript.pyannote[1910].end 11619.64971875
transcript.pyannote[1911].speaker SPEAKER_47
transcript.pyannote[1911].start 11617.57409375
transcript.pyannote[1911].end 11620.45971875
transcript.pyannote[1912].speaker SPEAKER_55
transcript.pyannote[1912].start 11620.40909375
transcript.pyannote[1912].end 11623.98659375
transcript.pyannote[1913].speaker SPEAKER_27
transcript.pyannote[1913].start 11620.45971875
transcript.pyannote[1913].end 11620.52721875
transcript.pyannote[1914].speaker SPEAKER_47
transcript.pyannote[1914].start 11620.52721875
transcript.pyannote[1914].end 11620.54409375
transcript.pyannote[1915].speaker SPEAKER_27
transcript.pyannote[1915].start 11620.54409375
transcript.pyannote[1915].end 11620.56096875
transcript.pyannote[1916].speaker SPEAKER_47
transcript.pyannote[1916].start 11620.56096875
transcript.pyannote[1916].end 11621.15159375
transcript.pyannote[1917].speaker SPEAKER_55
transcript.pyannote[1917].start 11624.72909375
transcript.pyannote[1917].end 11626.55159375
transcript.pyannote[1918].speaker SPEAKER_55
transcript.pyannote[1918].start 11627.19284375
transcript.pyannote[1918].end 11630.36534375
transcript.pyannote[1919].speaker SPEAKER_55
transcript.pyannote[1919].start 11632.27221875
transcript.pyannote[1919].end 11647.93221875
transcript.pyannote[1920].speaker SPEAKER_36
transcript.pyannote[1920].start 11648.06721875
transcript.pyannote[1920].end 11649.45096875
transcript.pyannote[1921].speaker SPEAKER_55
transcript.pyannote[1921].start 11648.11784375
transcript.pyannote[1921].end 11648.79284375
transcript.pyannote[1922].speaker SPEAKER_36
transcript.pyannote[1922].start 11650.12596875
transcript.pyannote[1922].end 11650.78409375
transcript.pyannote[1923].speaker SPEAKER_36
transcript.pyannote[1923].start 11651.37471875
transcript.pyannote[1923].end 11652.72471875
transcript.pyannote[1924].speaker SPEAKER_59
transcript.pyannote[1924].start 11654.00721875
transcript.pyannote[1924].end 11654.91846875
transcript.pyannote[1925].speaker SPEAKER_36
transcript.pyannote[1925].start 11662.17471875
transcript.pyannote[1925].end 11670.44346875
transcript.pyannote[1926].speaker SPEAKER_36
transcript.pyannote[1926].start 11670.64596875
transcript.pyannote[1926].end 11689.32659375
transcript.pyannote[1927].speaker SPEAKER_41
transcript.pyannote[1927].start 11689.24221875
transcript.pyannote[1927].end 11737.80846875
transcript.pyannote[1928].speaker SPEAKER_39
transcript.pyannote[1928].start 11720.12346875
transcript.pyannote[1928].end 11720.44409375
transcript.pyannote[1929].speaker SPEAKER_36
transcript.pyannote[1929].start 11737.80846875
transcript.pyannote[1929].end 11737.82534375
transcript.pyannote[1930].speaker SPEAKER_36
transcript.pyannote[1930].start 11738.04471875
transcript.pyannote[1930].end 11743.19159375
transcript.pyannote[1931].speaker SPEAKER_41
transcript.pyannote[1931].start 11742.41534375
transcript.pyannote[1931].end 11743.76534375
transcript.pyannote[1932].speaker SPEAKER_36
transcript.pyannote[1932].start 11743.76534375
transcript.pyannote[1932].end 11743.88346875
transcript.pyannote[1933].speaker SPEAKER_41
transcript.pyannote[1933].start 11743.88346875
transcript.pyannote[1933].end 11743.96784375
transcript.pyannote[1934].speaker SPEAKER_36
transcript.pyannote[1934].start 11743.96784375
transcript.pyannote[1934].end 11750.26221875
transcript.pyannote[1935].speaker SPEAKER_41
transcript.pyannote[1935].start 11744.27159375
transcript.pyannote[1935].end 11744.76096875
transcript.pyannote[1936].speaker SPEAKER_59
transcript.pyannote[1936].start 11751.30846875
transcript.pyannote[1936].end 11752.50659375
transcript.pyannote[1937].speaker SPEAKER_36
transcript.pyannote[1937].start 11752.87784375
transcript.pyannote[1937].end 11753.99159375
transcript.pyannote[1938].speaker SPEAKER_36
transcript.pyannote[1938].start 11758.29471875
transcript.pyannote[1938].end 11758.83471875
transcript.pyannote[1939].speaker SPEAKER_36
transcript.pyannote[1939].start 11759.81346875
transcript.pyannote[1939].end 11760.03284375
transcript.pyannote[1940].speaker SPEAKER_36
transcript.pyannote[1940].start 11760.47159375
transcript.pyannote[1940].end 11760.80909375
transcript.pyannote[1941].speaker SPEAKER_36
transcript.pyannote[1941].start 11761.55159375
transcript.pyannote[1941].end 11761.63596875
transcript.pyannote[1942].speaker SPEAKER_57
transcript.pyannote[1942].start 11761.63596875
transcript.pyannote[1942].end 11761.73721875
transcript.pyannote[1943].speaker SPEAKER_36
transcript.pyannote[1943].start 11761.73721875
transcript.pyannote[1943].end 11761.82159375
transcript.pyannote[1944].speaker SPEAKER_57
transcript.pyannote[1944].start 11761.82159375
transcript.pyannote[1944].end 11761.87221875
transcript.pyannote[1945].speaker SPEAKER_36
transcript.pyannote[1945].start 11761.87221875
transcript.pyannote[1945].end 11761.97346875
transcript.pyannote[1946].speaker SPEAKER_57
transcript.pyannote[1946].start 11761.97346875
transcript.pyannote[1946].end 11762.47971875
transcript.pyannote[1947].speaker SPEAKER_36
transcript.pyannote[1947].start 11762.47971875
transcript.pyannote[1947].end 11762.78346875
transcript.pyannote[1948].speaker SPEAKER_57
transcript.pyannote[1948].start 11762.78346875
transcript.pyannote[1948].end 11766.98534375
transcript.pyannote[1949].speaker SPEAKER_36
transcript.pyannote[1949].start 11763.34034375
transcript.pyannote[1949].end 11764.50471875
transcript.pyannote[1950].speaker SPEAKER_57
transcript.pyannote[1950].start 11771.62596875
transcript.pyannote[1950].end 11772.09846875
transcript.pyannote[1951].speaker SPEAKER_36
transcript.pyannote[1951].start 11772.21659375
transcript.pyannote[1951].end 11922.57284375
transcript.pyannote[1952].speaker SPEAKER_52
transcript.pyannote[1952].start 11790.25596875
transcript.pyannote[1952].end 11790.74534375
transcript.pyannote[1953].speaker SPEAKER_52
transcript.pyannote[1953].start 11791.38659375
transcript.pyannote[1953].end 11791.84221875
transcript.pyannote[1954].speaker SPEAKER_05
transcript.pyannote[1954].start 11921.49284375
transcript.pyannote[1954].end 11938.63784375
transcript.pyannote[1955].speaker SPEAKER_36
transcript.pyannote[1955].start 11922.58971875
transcript.pyannote[1955].end 11923.04534375
transcript.pyannote[1956].speaker SPEAKER_36
transcript.pyannote[1956].start 11923.33221875
transcript.pyannote[1956].end 11923.80471875
transcript.pyannote[1957].speaker SPEAKER_52
transcript.pyannote[1957].start 11934.43596875
transcript.pyannote[1957].end 11934.50346875
transcript.pyannote[1958].speaker SPEAKER_26
transcript.pyannote[1958].start 11934.50346875
transcript.pyannote[1958].end 11934.87471875
transcript.pyannote[1959].speaker SPEAKER_52
transcript.pyannote[1959].start 11934.87471875
transcript.pyannote[1959].end 11934.90846875
transcript.pyannote[1960].speaker SPEAKER_05
transcript.pyannote[1960].start 11939.14409375
transcript.pyannote[1960].end 11961.72284375
transcript.pyannote[1961].speaker SPEAKER_66
transcript.pyannote[1961].start 11944.25721875
transcript.pyannote[1961].end 11944.59471875
transcript.pyannote[1962].speaker SPEAKER_52
transcript.pyannote[1962].start 11944.59471875
transcript.pyannote[1962].end 11944.61159375
transcript.pyannote[1963].speaker SPEAKER_52
transcript.pyannote[1963].start 11949.25221875
transcript.pyannote[1963].end 11949.65721875
transcript.pyannote[1964].speaker SPEAKER_36
transcript.pyannote[1964].start 11957.92596875
transcript.pyannote[1964].end 11958.19596875
transcript.pyannote[1965].speaker SPEAKER_36
transcript.pyannote[1965].start 11959.37721875
transcript.pyannote[1965].end 11959.76534375
transcript.pyannote[1966].speaker SPEAKER_36
transcript.pyannote[1966].start 11960.76096875
transcript.pyannote[1966].end 11989.31346875
transcript.pyannote[1967].speaker SPEAKER_05
transcript.pyannote[1967].start 11967.02159375
transcript.pyannote[1967].end 11967.39284375
transcript.pyannote[1968].speaker SPEAKER_36
transcript.pyannote[1968].start 11990.25846875
transcript.pyannote[1968].end 12029.08784375
transcript.pyannote[1969].speaker SPEAKER_36
transcript.pyannote[1969].start 12029.27346875
transcript.pyannote[1969].end 12029.29034375
transcript.pyannote[1970].speaker SPEAKER_66
transcript.pyannote[1970].start 12029.29034375
transcript.pyannote[1970].end 12031.02846875
transcript.pyannote[1971].speaker SPEAKER_36
transcript.pyannote[1971].start 12029.47596875
transcript.pyannote[1971].end 12035.02784375
transcript.pyannote[1972].speaker SPEAKER_55
transcript.pyannote[1972].start 12031.02846875
transcript.pyannote[1972].end 12031.07909375
transcript.pyannote[1973].speaker SPEAKER_66
transcript.pyannote[1973].start 12031.07909375
transcript.pyannote[1973].end 12032.73284375
transcript.pyannote[1974].speaker SPEAKER_55
transcript.pyannote[1974].start 12032.73284375
transcript.pyannote[1974].end 12038.41971875
transcript.pyannote[1975].speaker SPEAKER_43
transcript.pyannote[1975].start 12045.69284375
transcript.pyannote[1975].end 12048.88221875
transcript.pyannote[1976].speaker SPEAKER_57
transcript.pyannote[1976].start 12052.51034375
transcript.pyannote[1976].end 12054.31596875
transcript.pyannote[1977].speaker SPEAKER_11
transcript.pyannote[1977].start 12060.76221875
transcript.pyannote[1977].end 12061.79159375
transcript.pyannote[1978].speaker SPEAKER_43
transcript.pyannote[1978].start 12062.24721875
transcript.pyannote[1978].end 12100.41846875
transcript.pyannote[1979].speaker SPEAKER_11
transcript.pyannote[1979].start 12101.59971875
transcript.pyannote[1979].end 12104.90721875
transcript.pyannote[1980].speaker SPEAKER_11
transcript.pyannote[1980].start 12106.02096875
transcript.pyannote[1980].end 12107.84346875
transcript.pyannote[1981].speaker SPEAKER_43
transcript.pyannote[1981].start 12107.92784375
transcript.pyannote[1981].end 12130.65846875
transcript.pyannote[1982].speaker SPEAKER_11
transcript.pyannote[1982].start 12130.08471875
transcript.pyannote[1982].end 12136.29471875
transcript.pyannote[1983].speaker SPEAKER_11
transcript.pyannote[1983].start 12136.44659375
transcript.pyannote[1983].end 12156.12284375
transcript.pyannote[1984].speaker SPEAKER_11
transcript.pyannote[1984].start 12156.30846875
transcript.pyannote[1984].end 12159.93659375
transcript.pyannote[1985].speaker SPEAKER_43
transcript.pyannote[1985].start 12160.59471875
transcript.pyannote[1985].end 12184.57409375
transcript.pyannote[1986].speaker SPEAKER_43
transcript.pyannote[1986].start 12184.99596875
transcript.pyannote[1986].end 12202.54596875
transcript.pyannote[1987].speaker SPEAKER_11
transcript.pyannote[1987].start 12202.54596875
transcript.pyannote[1987].end 12207.60846875
transcript.pyannote[1988].speaker SPEAKER_43
transcript.pyannote[1988].start 12203.30534375
transcript.pyannote[1988].end 12203.32221875
transcript.pyannote[1989].speaker SPEAKER_43
transcript.pyannote[1989].start 12207.70971875
transcript.pyannote[1989].end 12208.80659375
transcript.pyannote[1990].speaker SPEAKER_11
transcript.pyannote[1990].start 12207.76034375
transcript.pyannote[1990].end 12265.70909375
transcript.pyannote[1991].speaker SPEAKER_43
transcript.pyannote[1991].start 12211.65846875
transcript.pyannote[1991].end 12211.92846875
transcript.pyannote[1992].speaker SPEAKER_11
transcript.pyannote[1992].start 12266.09721875
transcript.pyannote[1992].end 12283.84971875
transcript.pyannote[1993].speaker SPEAKER_43
transcript.pyannote[1993].start 12284.37284375
transcript.pyannote[1993].end 12300.99471875
transcript.pyannote[1994].speaker SPEAKER_43
transcript.pyannote[1994].start 12301.56846875
transcript.pyannote[1994].end 12304.57221875
transcript.pyannote[1995].speaker SPEAKER_11
transcript.pyannote[1995].start 12304.92659375
transcript.pyannote[1995].end 12309.38159375
transcript.pyannote[1996].speaker SPEAKER_11
transcript.pyannote[1996].start 12310.46159375
transcript.pyannote[1996].end 12322.94909375
transcript.pyannote[1997].speaker SPEAKER_11
transcript.pyannote[1997].start 12323.33721875
transcript.pyannote[1997].end 12325.24409375
transcript.pyannote[1998].speaker SPEAKER_43
transcript.pyannote[1998].start 12325.24409375
transcript.pyannote[1998].end 12353.44221875
transcript.pyannote[1999].speaker SPEAKER_66
transcript.pyannote[1999].start 12353.86409375
transcript.pyannote[1999].end 12353.99909375
transcript.pyannote[2000].speaker SPEAKER_43
transcript.pyannote[2000].start 12353.98221875
transcript.pyannote[2000].end 12368.07284375
transcript.pyannote[2001].speaker SPEAKER_11
transcript.pyannote[2001].start 12368.41034375
transcript.pyannote[2001].end 12380.56034375
transcript.pyannote[2002].speaker SPEAKER_43
transcript.pyannote[2002].start 12380.22284375
transcript.pyannote[2002].end 12382.61909375
transcript.pyannote[2003].speaker SPEAKER_11
transcript.pyannote[2003].start 12383.04096875
transcript.pyannote[2003].end 12386.82096875
transcript.pyannote[2004].speaker SPEAKER_11
transcript.pyannote[2004].start 12387.12471875
transcript.pyannote[2004].end 12402.75096875
transcript.pyannote[2005].speaker SPEAKER_43
transcript.pyannote[2005].start 12403.34159375
transcript.pyannote[2005].end 12411.10409375
transcript.pyannote[2006].speaker SPEAKER_11
transcript.pyannote[2006].start 12410.22659375
transcript.pyannote[2006].end 12425.63346875
transcript.pyannote[2007].speaker SPEAKER_43
transcript.pyannote[2007].start 12424.68846875
transcript.pyannote[2007].end 12426.40971875
transcript.pyannote[2008].speaker SPEAKER_55
transcript.pyannote[2008].start 12426.40971875
transcript.pyannote[2008].end 12428.04659375
transcript.pyannote[2009].speaker SPEAKER_43
transcript.pyannote[2009].start 12426.47721875
transcript.pyannote[2009].end 12426.59534375
transcript.pyannote[2010].speaker SPEAKER_43
transcript.pyannote[2010].start 12426.83159375
transcript.pyannote[2010].end 12426.98346875
transcript.pyannote[2011].speaker SPEAKER_43
transcript.pyannote[2011].start 12427.00034375
transcript.pyannote[2011].end 12427.01721875
transcript.pyannote[2012].speaker SPEAKER_55
transcript.pyannote[2012].start 12429.02534375
transcript.pyannote[2012].end 12429.98721875
transcript.pyannote[2013].speaker SPEAKER_55
transcript.pyannote[2013].start 12430.52721875
transcript.pyannote[2013].end 12432.67034375
transcript.pyannote[2014].speaker SPEAKER_57
transcript.pyannote[2014].start 12440.07846875
transcript.pyannote[2014].end 12442.87971875
transcript.pyannote[2015].speaker SPEAKER_66
transcript.pyannote[2015].start 12442.87971875
transcript.pyannote[2015].end 12443.23409375
transcript.pyannote[2016].speaker SPEAKER_29
transcript.pyannote[2016].start 12450.38909375
transcript.pyannote[2016].end 12452.97096875
transcript.pyannote[2017].speaker SPEAKER_59
transcript.pyannote[2017].start 12452.97096875
transcript.pyannote[2017].end 12454.21971875
transcript.pyannote[2018].speaker SPEAKER_29
transcript.pyannote[2018].start 12467.33159375
transcript.pyannote[2018].end 12469.79534375
transcript.pyannote[2019].speaker SPEAKER_29
transcript.pyannote[2019].start 12469.96409375
transcript.pyannote[2019].end 12470.03159375
transcript.pyannote[2020].speaker SPEAKER_29
transcript.pyannote[2020].start 12470.70659375
transcript.pyannote[2020].end 12471.49971875
transcript.pyannote[2021].speaker SPEAKER_29
transcript.pyannote[2021].start 12472.46159375
transcript.pyannote[2021].end 12474.01409375
transcript.pyannote[2022].speaker SPEAKER_29
transcript.pyannote[2022].start 12475.00971875
transcript.pyannote[2022].end 12481.23659375
transcript.pyannote[2023].speaker SPEAKER_29
transcript.pyannote[2023].start 12482.75534375
transcript.pyannote[2023].end 12484.02096875
transcript.pyannote[2024].speaker SPEAKER_29
transcript.pyannote[2024].start 12484.67909375
transcript.pyannote[2024].end 12486.53534375
transcript.pyannote[2025].speaker SPEAKER_29
transcript.pyannote[2025].start 12487.26096875
transcript.pyannote[2025].end 12489.45471875
transcript.pyannote[2026].speaker SPEAKER_29
transcript.pyannote[2026].start 12489.97784375
transcript.pyannote[2026].end 12493.26846875
transcript.pyannote[2027].speaker SPEAKER_29
transcript.pyannote[2027].start 12494.17971875
transcript.pyannote[2027].end 12496.13721875
transcript.pyannote[2028].speaker SPEAKER_29
transcript.pyannote[2028].start 12496.91346875
transcript.pyannote[2028].end 12498.55034375
transcript.pyannote[2029].speaker SPEAKER_29
transcript.pyannote[2029].start 12499.14096875
transcript.pyannote[2029].end 12503.07284375
transcript.pyannote[2030].speaker SPEAKER_41
transcript.pyannote[2030].start 12503.47784375
transcript.pyannote[2030].end 12504.94596875
transcript.pyannote[2031].speaker SPEAKER_29
transcript.pyannote[2031].start 12503.66346875
transcript.pyannote[2031].end 12504.42284375
transcript.pyannote[2032].speaker SPEAKER_29
transcript.pyannote[2032].start 12504.76034375
transcript.pyannote[2032].end 12505.77284375
transcript.pyannote[2033].speaker SPEAKER_41
transcript.pyannote[2033].start 12507.74721875
transcript.pyannote[2033].end 12509.55284375
transcript.pyannote[2034].speaker SPEAKER_41
transcript.pyannote[2034].start 12509.83971875
transcript.pyannote[2034].end 12509.85659375
transcript.pyannote[2035].speaker SPEAKER_29
transcript.pyannote[2035].start 12509.85659375
transcript.pyannote[2035].end 12511.86471875
transcript.pyannote[2036].speaker SPEAKER_41
transcript.pyannote[2036].start 12509.87346875
transcript.pyannote[2036].end 12510.85221875
transcript.pyannote[2037].speaker SPEAKER_29
transcript.pyannote[2037].start 12514.46346875
transcript.pyannote[2037].end 12514.73346875
transcript.pyannote[2038].speaker SPEAKER_41
transcript.pyannote[2038].start 12514.73346875
transcript.pyannote[2038].end 12516.75846875
transcript.pyannote[2039].speaker SPEAKER_29
transcript.pyannote[2039].start 12516.33659375
transcript.pyannote[2039].end 12521.09534375
transcript.pyannote[2040].speaker SPEAKER_29
transcript.pyannote[2040].start 12521.65221875
transcript.pyannote[2040].end 12522.64784375
transcript.pyannote[2041].speaker SPEAKER_29
transcript.pyannote[2041].start 12523.13721875
transcript.pyannote[2041].end 12523.55909375
transcript.pyannote[2042].speaker SPEAKER_29
transcript.pyannote[2042].start 12524.08221875
transcript.pyannote[2042].end 12527.94659375
transcript.pyannote[2043].speaker SPEAKER_29
transcript.pyannote[2043].start 12528.63846875
transcript.pyannote[2043].end 12531.18659375
transcript.pyannote[2044].speaker SPEAKER_29
transcript.pyannote[2044].start 12532.08096875
transcript.pyannote[2044].end 12535.45596875
transcript.pyannote[2045].speaker SPEAKER_29
transcript.pyannote[2045].start 12535.96221875
transcript.pyannote[2045].end 12537.36284375
transcript.pyannote[2046].speaker SPEAKER_29
transcript.pyannote[2046].start 12538.40909375
transcript.pyannote[2046].end 12541.07534375
transcript.pyannote[2047].speaker SPEAKER_29
transcript.pyannote[2047].start 12542.15534375
transcript.pyannote[2047].end 12549.74909375
transcript.pyannote[2048].speaker SPEAKER_41
transcript.pyannote[2048].start 12549.74909375
transcript.pyannote[2048].end 12549.96846875
transcript.pyannote[2049].speaker SPEAKER_29
transcript.pyannote[2049].start 12549.96846875
transcript.pyannote[2049].end 12550.18784375
transcript.pyannote[2050].speaker SPEAKER_41
transcript.pyannote[2050].start 12550.18784375
transcript.pyannote[2050].end 12550.42409375
transcript.pyannote[2051].speaker SPEAKER_29
transcript.pyannote[2051].start 12550.79534375
transcript.pyannote[2051].end 12552.01034375
transcript.pyannote[2052].speaker SPEAKER_29
transcript.pyannote[2052].start 12552.97221875
transcript.pyannote[2052].end 12556.19534375
transcript.pyannote[2053].speaker SPEAKER_29
transcript.pyannote[2053].start 12556.66784375
transcript.pyannote[2053].end 12558.30471875
transcript.pyannote[2054].speaker SPEAKER_29
transcript.pyannote[2054].start 12558.97971875
transcript.pyannote[2054].end 12560.43096875
transcript.pyannote[2055].speaker SPEAKER_29
transcript.pyannote[2055].start 12561.07221875
transcript.pyannote[2055].end 12564.32909375
transcript.pyannote[2056].speaker SPEAKER_29
transcript.pyannote[2056].start 12565.56096875
transcript.pyannote[2056].end 12567.31596875
transcript.pyannote[2057].speaker SPEAKER_29
transcript.pyannote[2057].start 12567.82221875
transcript.pyannote[2057].end 12574.08284375
transcript.pyannote[2058].speaker SPEAKER_29
transcript.pyannote[2058].start 12575.73659375
transcript.pyannote[2058].end 12582.38534375
transcript.pyannote[2059].speaker SPEAKER_29
transcript.pyannote[2059].start 12582.53721875
transcript.pyannote[2059].end 12584.39346875
transcript.pyannote[2060].speaker SPEAKER_29
transcript.pyannote[2060].start 12586.14846875
transcript.pyannote[2060].end 12588.07221875
transcript.pyannote[2061].speaker SPEAKER_29
transcript.pyannote[2061].start 12588.79784375
transcript.pyannote[2061].end 12590.04659375
transcript.pyannote[2062].speaker SPEAKER_29
transcript.pyannote[2062].start 12591.02534375
transcript.pyannote[2062].end 12592.86471875
transcript.pyannote[2063].speaker SPEAKER_29
transcript.pyannote[2063].start 12593.40471875
transcript.pyannote[2063].end 12593.89409375
transcript.pyannote[2064].speaker SPEAKER_29
transcript.pyannote[2064].start 12594.45096875
transcript.pyannote[2064].end 12595.81784375
transcript.pyannote[2065].speaker SPEAKER_29
transcript.pyannote[2065].start 12596.34096875
transcript.pyannote[2065].end 12599.14221875
transcript.pyannote[2066].speaker SPEAKER_29
transcript.pyannote[2066].start 12600.00284375
transcript.pyannote[2066].end 12603.93471875
transcript.pyannote[2067].speaker SPEAKER_29
transcript.pyannote[2067].start 12604.71096875
transcript.pyannote[2067].end 12617.09721875
transcript.pyannote[2068].speaker SPEAKER_29
transcript.pyannote[2068].start 12617.53596875
transcript.pyannote[2068].end 12622.14284375
transcript.pyannote[2069].speaker SPEAKER_29
transcript.pyannote[2069].start 12623.03721875
transcript.pyannote[2069].end 12626.22659375
transcript.pyannote[2070].speaker SPEAKER_29
transcript.pyannote[2070].start 12626.76659375
transcript.pyannote[2070].end 12628.20096875
transcript.pyannote[2071].speaker SPEAKER_29
transcript.pyannote[2071].start 12628.89284375
transcript.pyannote[2071].end 12629.60159375
transcript.pyannote[2072].speaker SPEAKER_29
transcript.pyannote[2072].start 12630.04034375
transcript.pyannote[2072].end 12633.02721875
transcript.pyannote[2073].speaker SPEAKER_29
transcript.pyannote[2073].start 12633.70221875
transcript.pyannote[2073].end 12635.98034375
transcript.pyannote[2074].speaker SPEAKER_29
transcript.pyannote[2074].start 12636.79034375
transcript.pyannote[2074].end 12639.97971875
transcript.pyannote[2075].speaker SPEAKER_29
transcript.pyannote[2075].start 12641.63346875
transcript.pyannote[2075].end 12644.94096875
transcript.pyannote[2076].speaker SPEAKER_29
transcript.pyannote[2076].start 12645.83534375
transcript.pyannote[2076].end 12648.19784375
transcript.pyannote[2077].speaker SPEAKER_29
transcript.pyannote[2077].start 12650.44221875
transcript.pyannote[2077].end 12653.34471875
transcript.pyannote[2078].speaker SPEAKER_29
transcript.pyannote[2078].start 12654.28971875
transcript.pyannote[2078].end 12661.05659375
transcript.pyannote[2079].speaker SPEAKER_29
transcript.pyannote[2079].start 12661.27596875
transcript.pyannote[2079].end 12662.06909375
transcript.pyannote[2080].speaker SPEAKER_63
transcript.pyannote[2080].start 12662.59221875
transcript.pyannote[2080].end 12664.98846875
transcript.pyannote[2081].speaker SPEAKER_29
transcript.pyannote[2081].start 12664.98846875
transcript.pyannote[2081].end 12669.30846875
transcript.pyannote[2082].speaker SPEAKER_29
transcript.pyannote[2082].start 12669.59534375
transcript.pyannote[2082].end 12672.12659375
transcript.pyannote[2083].speaker SPEAKER_29
transcript.pyannote[2083].start 12672.95346875
transcript.pyannote[2083].end 12676.90221875
transcript.pyannote[2084].speaker SPEAKER_29
transcript.pyannote[2084].start 12677.74596875
transcript.pyannote[2084].end 12684.52971875
transcript.pyannote[2085].speaker SPEAKER_29
transcript.pyannote[2085].start 12684.71534375
transcript.pyannote[2085].end 12685.25534375
transcript.pyannote[2086].speaker SPEAKER_29
transcript.pyannote[2086].start 12686.18346875
transcript.pyannote[2086].end 12686.95971875
transcript.pyannote[2087].speaker SPEAKER_29
transcript.pyannote[2087].start 12687.29721875
transcript.pyannote[2087].end 12689.01846875
transcript.pyannote[2088].speaker SPEAKER_29
transcript.pyannote[2088].start 12689.42346875
transcript.pyannote[2088].end 12695.02596875
transcript.pyannote[2089].speaker SPEAKER_63
transcript.pyannote[2089].start 12695.02596875
transcript.pyannote[2089].end 12696.73034375
transcript.pyannote[2090].speaker SPEAKER_63
transcript.pyannote[2090].start 12697.59096875
transcript.pyannote[2090].end 12698.60346875
transcript.pyannote[2091].speaker SPEAKER_63
transcript.pyannote[2091].start 12699.04221875
transcript.pyannote[2091].end 12707.86784375
transcript.pyannote[2092].speaker SPEAKER_29
transcript.pyannote[2092].start 12706.83846875
transcript.pyannote[2092].end 12711.39471875
transcript.pyannote[2093].speaker SPEAKER_63
transcript.pyannote[2093].start 12708.12096875
transcript.pyannote[2093].end 12709.89284375
transcript.pyannote[2094].speaker SPEAKER_63
transcript.pyannote[2094].start 12711.39471875
transcript.pyannote[2094].end 12712.10346875
transcript.pyannote[2095].speaker SPEAKER_29
transcript.pyannote[2095].start 12712.10346875
transcript.pyannote[2095].end 12712.13721875
transcript.pyannote[2096].speaker SPEAKER_63
transcript.pyannote[2096].start 12712.13721875
transcript.pyannote[2096].end 12712.17096875
transcript.pyannote[2097].speaker SPEAKER_29
transcript.pyannote[2097].start 12713.04846875
transcript.pyannote[2097].end 12714.02721875
transcript.pyannote[2098].speaker SPEAKER_63
transcript.pyannote[2098].start 12714.02721875
transcript.pyannote[2098].end 12714.38159375
transcript.pyannote[2099].speaker SPEAKER_63
transcript.pyannote[2099].start 12714.71909375
transcript.pyannote[2099].end 12723.40971875
transcript.pyannote[2100].speaker SPEAKER_29
transcript.pyannote[2100].start 12722.32971875
transcript.pyannote[2100].end 12729.99096875
transcript.pyannote[2101].speaker SPEAKER_29
transcript.pyannote[2101].start 12730.12596875
transcript.pyannote[2101].end 12733.80471875
transcript.pyannote[2102].speaker SPEAKER_09
transcript.pyannote[2102].start 12730.22721875
transcript.pyannote[2102].end 12730.66596875
transcript.pyannote[2103].speaker SPEAKER_29
transcript.pyannote[2103].start 12734.24346875
transcript.pyannote[2103].end 12738.36096875
transcript.pyannote[2104].speaker SPEAKER_63
transcript.pyannote[2104].start 12734.68221875
transcript.pyannote[2104].end 12734.69909375
transcript.pyannote[2105].speaker SPEAKER_66
transcript.pyannote[2105].start 12734.69909375
transcript.pyannote[2105].end 12734.90159375
transcript.pyannote[2106].speaker SPEAKER_29
transcript.pyannote[2106].start 12738.44534375
transcript.pyannote[2106].end 12739.03596875
transcript.pyannote[2107].speaker SPEAKER_63
transcript.pyannote[2107].start 12739.03596875
transcript.pyannote[2107].end 12742.52909375
transcript.pyannote[2108].speaker SPEAKER_63
transcript.pyannote[2108].start 12743.18721875
transcript.pyannote[2108].end 12753.05909375
transcript.pyannote[2109].speaker SPEAKER_29
transcript.pyannote[2109].start 12751.82721875
transcript.pyannote[2109].end 12762.39096875
transcript.pyannote[2110].speaker SPEAKER_29
transcript.pyannote[2110].start 12762.99846875
transcript.pyannote[2110].end 12771.58784375
transcript.pyannote[2111].speaker SPEAKER_63
transcript.pyannote[2111].start 12772.17846875
transcript.pyannote[2111].end 12779.08034375
transcript.pyannote[2112].speaker SPEAKER_29
transcript.pyannote[2112].start 12777.13971875
transcript.pyannote[2112].end 12777.46034375
transcript.pyannote[2113].speaker SPEAKER_63
transcript.pyannote[2113].start 12779.62034375
transcript.pyannote[2113].end 12781.03784375
transcript.pyannote[2114].speaker SPEAKER_63
transcript.pyannote[2114].start 12781.40909375
transcript.pyannote[2114].end 12782.80971875
transcript.pyannote[2115].speaker SPEAKER_63
transcript.pyannote[2115].start 12784.19346875
transcript.pyannote[2115].end 12789.96471875
transcript.pyannote[2116].speaker SPEAKER_29
transcript.pyannote[2116].start 12787.78784375
transcript.pyannote[2116].end 12788.93534375
transcript.pyannote[2117].speaker SPEAKER_29
transcript.pyannote[2117].start 12789.96471875
transcript.pyannote[2117].end 12790.40346875
transcript.pyannote[2118].speaker SPEAKER_63
transcript.pyannote[2118].start 12791.90534375
transcript.pyannote[2118].end 12791.92221875
transcript.pyannote[2119].speaker SPEAKER_29
transcript.pyannote[2119].start 12791.92221875
transcript.pyannote[2119].end 12806.13096875
transcript.pyannote[2120].speaker SPEAKER_63
transcript.pyannote[2120].start 12792.86721875
transcript.pyannote[2120].end 12793.03596875
transcript.pyannote[2121].speaker SPEAKER_66
transcript.pyannote[2121].start 12793.03596875
transcript.pyannote[2121].end 12793.39034375
transcript.pyannote[2122].speaker SPEAKER_29
transcript.pyannote[2122].start 12807.29534375
transcript.pyannote[2122].end 12808.74659375
transcript.pyannote[2123].speaker SPEAKER_29
transcript.pyannote[2123].start 12809.65784375
transcript.pyannote[2123].end 12811.05846875
transcript.pyannote[2124].speaker SPEAKER_29
transcript.pyannote[2124].start 12811.88534375
transcript.pyannote[2124].end 12815.32784375
transcript.pyannote[2125].speaker SPEAKER_29
transcript.pyannote[2125].start 12816.32346875
transcript.pyannote[2125].end 12821.26784375
transcript.pyannote[2126].speaker SPEAKER_29
transcript.pyannote[2126].start 12822.60096875
transcript.pyannote[2126].end 12823.76534375
transcript.pyannote[2127].speaker SPEAKER_29
transcript.pyannote[2127].start 12824.03534375
transcript.pyannote[2127].end 12829.65471875
transcript.pyannote[2128].speaker SPEAKER_29
transcript.pyannote[2128].start 12829.82346875
transcript.pyannote[2128].end 12830.61659375
transcript.pyannote[2129].speaker SPEAKER_29
transcript.pyannote[2129].start 12831.59534375
transcript.pyannote[2129].end 12832.30409375
transcript.pyannote[2130].speaker SPEAKER_63
transcript.pyannote[2130].start 12833.48534375
transcript.pyannote[2130].end 12836.53971875
transcript.pyannote[2131].speaker SPEAKER_63
transcript.pyannote[2131].start 12836.67471875
transcript.pyannote[2131].end 12841.33221875
transcript.pyannote[2132].speaker SPEAKER_63
transcript.pyannote[2132].start 12841.75409375
transcript.pyannote[2132].end 12842.12534375
transcript.pyannote[2133].speaker SPEAKER_63
transcript.pyannote[2133].start 12842.58096875
transcript.pyannote[2133].end 12843.96471875
transcript.pyannote[2134].speaker SPEAKER_29
transcript.pyannote[2134].start 12843.96471875
transcript.pyannote[2134].end 12844.58909375
transcript.pyannote[2135].speaker SPEAKER_63
transcript.pyannote[2135].start 12844.58909375
transcript.pyannote[2135].end 12844.72409375
transcript.pyannote[2136].speaker SPEAKER_29
transcript.pyannote[2136].start 12844.72409375
transcript.pyannote[2136].end 12849.46596875
transcript.pyannote[2137].speaker SPEAKER_55
transcript.pyannote[2137].start 12850.25909375
transcript.pyannote[2137].end 12850.93409375
transcript.pyannote[2138].speaker SPEAKER_29
transcript.pyannote[2138].start 12851.20409375
transcript.pyannote[2138].end 12852.50346875
transcript.pyannote[2139].speaker SPEAKER_55
transcript.pyannote[2139].start 12852.50346875
transcript.pyannote[2139].end 12852.52034375
transcript.pyannote[2140].speaker SPEAKER_55
transcript.pyannote[2140].start 12852.68909375
transcript.pyannote[2140].end 12853.04346875
transcript.pyannote[2141].speaker SPEAKER_29
transcript.pyannote[2141].start 12852.95909375
transcript.pyannote[2141].end 12854.27534375
transcript.pyannote[2142].speaker SPEAKER_55
transcript.pyannote[2142].start 12854.27534375
transcript.pyannote[2142].end 12859.97909375
transcript.pyannote[2143].speaker SPEAKER_29
transcript.pyannote[2143].start 12859.32096875
transcript.pyannote[2143].end 12861.27846875
transcript.pyannote[2144].speaker SPEAKER_29
transcript.pyannote[2144].start 12862.40909375
transcript.pyannote[2144].end 12866.03721875
transcript.pyannote[2145].speaker SPEAKER_66
transcript.pyannote[2145].start 12865.71659375
transcript.pyannote[2145].end 12866.29034375
transcript.pyannote[2146].speaker SPEAKER_29
transcript.pyannote[2146].start 12866.27346875
transcript.pyannote[2146].end 12867.62346875
transcript.pyannote[2147].speaker SPEAKER_66
transcript.pyannote[2147].start 12866.30721875
transcript.pyannote[2147].end 12866.34096875
transcript.pyannote[2148].speaker SPEAKER_29
transcript.pyannote[2148].start 12868.19721875
transcript.pyannote[2148].end 12871.89284375
transcript.pyannote[2149].speaker SPEAKER_29
transcript.pyannote[2149].start 12872.31471875
transcript.pyannote[2149].end 12873.09096875
transcript.pyannote[2150].speaker SPEAKER_29
transcript.pyannote[2150].start 12874.22159375
transcript.pyannote[2150].end 12876.02721875
transcript.pyannote[2151].speaker SPEAKER_63
transcript.pyannote[2151].start 12876.02721875
transcript.pyannote[2151].end 12877.68096875
transcript.pyannote[2152].speaker SPEAKER_29
transcript.pyannote[2152].start 12877.02284375
transcript.pyannote[2152].end 12877.39409375
transcript.pyannote[2153].speaker SPEAKER_63
transcript.pyannote[2153].start 12877.88346875
transcript.pyannote[2153].end 12884.17784375
transcript.pyannote[2154].speaker SPEAKER_63
transcript.pyannote[2154].start 12884.26221875
transcript.pyannote[2154].end 12884.27909375
transcript.pyannote[2155].speaker SPEAKER_29
transcript.pyannote[2155].start 12884.27909375
transcript.pyannote[2155].end 12887.72159375
transcript.pyannote[2156].speaker SPEAKER_63
transcript.pyannote[2156].start 12884.32971875
transcript.pyannote[2156].end 12884.34659375
transcript.pyannote[2157].speaker SPEAKER_63
transcript.pyannote[2157].start 12884.43096875
transcript.pyannote[2157].end 12885.22409375
transcript.pyannote[2158].speaker SPEAKER_63
transcript.pyannote[2158].start 12887.94096875
transcript.pyannote[2158].end 12888.00846875
transcript.pyannote[2159].speaker SPEAKER_55
transcript.pyannote[2159].start 12888.00846875
transcript.pyannote[2159].end 12888.36284375
transcript.pyannote[2160].speaker SPEAKER_63
transcript.pyannote[2160].start 12888.36284375
transcript.pyannote[2160].end 12888.41346875
transcript.pyannote[2161].speaker SPEAKER_55
transcript.pyannote[2161].start 12888.41346875
transcript.pyannote[2161].end 12888.53159375
transcript.pyannote[2162].speaker SPEAKER_63
transcript.pyannote[2162].start 12888.53159375
transcript.pyannote[2162].end 12897.96471875
transcript.pyannote[2163].speaker SPEAKER_55
transcript.pyannote[2163].start 12888.54846875
transcript.pyannote[2163].end 12889.79721875
transcript.pyannote[2164].speaker SPEAKER_29
transcript.pyannote[2164].start 12889.79721875
transcript.pyannote[2164].end 12889.81409375
transcript.pyannote[2165].speaker SPEAKER_55
transcript.pyannote[2165].start 12889.81409375
transcript.pyannote[2165].end 12889.83096875
transcript.pyannote[2166].speaker SPEAKER_29
transcript.pyannote[2166].start 12889.83096875
transcript.pyannote[2166].end 12889.84784375
transcript.pyannote[2167].speaker SPEAKER_55
transcript.pyannote[2167].start 12890.38784375
transcript.pyannote[2167].end 12890.80971875
transcript.pyannote[2168].speaker SPEAKER_29
transcript.pyannote[2168].start 12891.34971875
transcript.pyannote[2168].end 12891.38346875
transcript.pyannote[2169].speaker SPEAKER_55
transcript.pyannote[2169].start 12891.38346875
transcript.pyannote[2169].end 12891.40034375
transcript.pyannote[2170].speaker SPEAKER_29
transcript.pyannote[2170].start 12891.40034375
transcript.pyannote[2170].end 12891.41721875
transcript.pyannote[2171].speaker SPEAKER_55
transcript.pyannote[2171].start 12891.41721875
transcript.pyannote[2171].end 12891.43409375
transcript.pyannote[2172].speaker SPEAKER_29
transcript.pyannote[2172].start 12891.43409375
transcript.pyannote[2172].end 12891.48471875
transcript.pyannote[2173].speaker SPEAKER_55
transcript.pyannote[2173].start 12896.04096875
transcript.pyannote[2173].end 12903.29721875
transcript.pyannote[2174].speaker SPEAKER_55
transcript.pyannote[2174].start 12904.63034375
transcript.pyannote[2174].end 12906.95909375
transcript.pyannote[2175].speaker SPEAKER_17
transcript.pyannote[2175].start 12923.10846875
transcript.pyannote[2175].end 12926.02784375
transcript.pyannote[2176].speaker SPEAKER_57
transcript.pyannote[2176].start 12926.41596875
transcript.pyannote[2176].end 12928.15409375
transcript.pyannote[2177].speaker SPEAKER_57
transcript.pyannote[2177].start 12929.52096875
transcript.pyannote[2177].end 12931.25909375
transcript.pyannote[2178].speaker SPEAKER_17
transcript.pyannote[2178].start 12932.10284375
transcript.pyannote[2178].end 12932.13659375
transcript.pyannote[2179].speaker SPEAKER_57
transcript.pyannote[2179].start 12932.13659375
transcript.pyannote[2179].end 12932.65971875
transcript.pyannote[2180].speaker SPEAKER_57
transcript.pyannote[2180].start 12933.67221875
transcript.pyannote[2180].end 12934.39784375
transcript.pyannote[2181].speaker SPEAKER_57
transcript.pyannote[2181].start 12941.16471875
transcript.pyannote[2181].end 12942.54846875
transcript.pyannote[2182].speaker SPEAKER_11
transcript.pyannote[2182].start 12942.85221875
transcript.pyannote[2182].end 12943.03784375
transcript.pyannote[2183].speaker SPEAKER_17
transcript.pyannote[2183].start 12943.03784375
transcript.pyannote[2183].end 12943.61159375
transcript.pyannote[2184].speaker SPEAKER_11
transcript.pyannote[2184].start 12943.61159375
transcript.pyannote[2184].end 12944.28659375
transcript.pyannote[2185].speaker SPEAKER_17
transcript.pyannote[2185].start 12944.28659375
transcript.pyannote[2185].end 12944.96159375
transcript.pyannote[2186].speaker SPEAKER_17
transcript.pyannote[2186].start 12944.97846875
transcript.pyannote[2186].end 12945.02909375
transcript.pyannote[2187].speaker SPEAKER_17
transcript.pyannote[2187].start 12945.14721875
transcript.pyannote[2187].end 12945.40034375
transcript.pyannote[2188].speaker SPEAKER_17
transcript.pyannote[2188].start 12946.78409375
transcript.pyannote[2188].end 12954.47909375
transcript.pyannote[2189].speaker SPEAKER_17
transcript.pyannote[2189].start 12954.63096875
transcript.pyannote[2189].end 13002.42096875
transcript.pyannote[2190].speaker SPEAKER_11
transcript.pyannote[2190].start 13003.26471875
transcript.pyannote[2190].end 13012.96784375
transcript.pyannote[2191].speaker SPEAKER_17
transcript.pyannote[2191].start 13012.96784375
transcript.pyannote[2191].end 13019.19471875
transcript.pyannote[2192].speaker SPEAKER_17
transcript.pyannote[2192].start 13020.47721875
transcript.pyannote[2192].end 13021.32096875
transcript.pyannote[2193].speaker SPEAKER_17
transcript.pyannote[2193].start 13022.08034375
transcript.pyannote[2193].end 13025.55659375
transcript.pyannote[2194].speaker SPEAKER_17
transcript.pyannote[2194].start 13026.28221875
transcript.pyannote[2194].end 13026.31596875
transcript.pyannote[2195].speaker SPEAKER_11
transcript.pyannote[2195].start 13026.31596875
transcript.pyannote[2195].end 13027.34534375
transcript.pyannote[2196].speaker SPEAKER_11
transcript.pyannote[2196].start 13027.86846875
transcript.pyannote[2196].end 13036.86284375
transcript.pyannote[2197].speaker SPEAKER_17
transcript.pyannote[2197].start 13036.50846875
transcript.pyannote[2197].end 13044.86159375
transcript.pyannote[2198].speaker SPEAKER_11
transcript.pyannote[2198].start 13045.23284375
transcript.pyannote[2198].end 13046.59971875
transcript.pyannote[2199].speaker SPEAKER_17
transcript.pyannote[2199].start 13045.53659375
transcript.pyannote[2199].end 13048.96221875
transcript.pyannote[2200].speaker SPEAKER_11
transcript.pyannote[2200].start 13048.96221875
transcript.pyannote[2200].end 13051.86471875
transcript.pyannote[2201].speaker SPEAKER_11
transcript.pyannote[2201].start 13052.18534375
transcript.pyannote[2201].end 13058.02409375
transcript.pyannote[2202].speaker SPEAKER_17
transcript.pyannote[2202].start 13052.86034375
transcript.pyannote[2202].end 13053.85596875
transcript.pyannote[2203].speaker SPEAKER_17
transcript.pyannote[2203].start 13056.31971875
transcript.pyannote[2203].end 13056.70784375
transcript.pyannote[2204].speaker SPEAKER_17
transcript.pyannote[2204].start 13058.02409375
transcript.pyannote[2204].end 13107.13034375
transcript.pyannote[2205].speaker SPEAKER_17
transcript.pyannote[2205].start 13107.68721875
transcript.pyannote[2205].end 13108.44659375
transcript.pyannote[2206].speaker SPEAKER_64
transcript.pyannote[2206].start 13108.44659375
transcript.pyannote[2206].end 13108.51409375
transcript.pyannote[2207].speaker SPEAKER_11
transcript.pyannote[2207].start 13108.51409375
transcript.pyannote[2207].end 13110.10034375
transcript.pyannote[2208].speaker SPEAKER_17
transcript.pyannote[2208].start 13110.96096875
transcript.pyannote[2208].end 13110.97784375
transcript.pyannote[2209].speaker SPEAKER_64
transcript.pyannote[2209].start 13110.97784375
transcript.pyannote[2209].end 13111.09596875
transcript.pyannote[2210].speaker SPEAKER_64
transcript.pyannote[2210].start 13111.68659375
transcript.pyannote[2210].end 13124.46096875
transcript.pyannote[2211].speaker SPEAKER_17
transcript.pyannote[2211].start 13124.30909375
transcript.pyannote[2211].end 13125.42284375
transcript.pyannote[2212].speaker SPEAKER_64
transcript.pyannote[2212].start 13125.42284375
transcript.pyannote[2212].end 13125.96284375
transcript.pyannote[2213].speaker SPEAKER_17
transcript.pyannote[2213].start 13125.96284375
transcript.pyannote[2213].end 13136.03721875
transcript.pyannote[2214].speaker SPEAKER_64
transcript.pyannote[2214].start 13136.03721875
transcript.pyannote[2214].end 13146.82034375
transcript.pyannote[2215].speaker SPEAKER_17
transcript.pyannote[2215].start 13146.82034375
transcript.pyannote[2215].end 13146.97221875
transcript.pyannote[2216].speaker SPEAKER_17
transcript.pyannote[2216].start 13147.39409375
transcript.pyannote[2216].end 13147.42784375
transcript.pyannote[2217].speaker SPEAKER_64
transcript.pyannote[2217].start 13147.42784375
transcript.pyannote[2217].end 13147.96784375
transcript.pyannote[2218].speaker SPEAKER_17
transcript.pyannote[2218].start 13147.96784375
transcript.pyannote[2218].end 13159.17284375
transcript.pyannote[2219].speaker SPEAKER_64
transcript.pyannote[2219].start 13148.27159375
transcript.pyannote[2219].end 13148.69346875
transcript.pyannote[2220].speaker SPEAKER_11
transcript.pyannote[2220].start 13159.17284375
transcript.pyannote[2220].end 13162.32846875
transcript.pyannote[2221].speaker SPEAKER_17
transcript.pyannote[2221].start 13162.10909375
transcript.pyannote[2221].end 13168.53846875
transcript.pyannote[2222].speaker SPEAKER_64
transcript.pyannote[2222].start 13166.22659375
transcript.pyannote[2222].end 13166.61471875
transcript.pyannote[2223].speaker SPEAKER_17
transcript.pyannote[2223].start 13169.70284375
transcript.pyannote[2223].end 13170.98534375
transcript.pyannote[2224].speaker SPEAKER_17
transcript.pyannote[2224].start 13172.13284375
transcript.pyannote[2224].end 13183.23659375
transcript.pyannote[2225].speaker SPEAKER_17
transcript.pyannote[2225].start 13183.72596875
transcript.pyannote[2225].end 13184.97471875
transcript.pyannote[2226].speaker SPEAKER_17
transcript.pyannote[2226].start 13185.83534375
transcript.pyannote[2226].end 13185.85221875
transcript.pyannote[2227].speaker SPEAKER_11
transcript.pyannote[2227].start 13185.85221875
transcript.pyannote[2227].end 13202.86221875
transcript.pyannote[2228].speaker SPEAKER_17
transcript.pyannote[2228].start 13199.74034375
transcript.pyannote[2228].end 13201.61346875
transcript.pyannote[2229].speaker SPEAKER_17
transcript.pyannote[2229].start 13202.67659375
transcript.pyannote[2229].end 13206.47346875
transcript.pyannote[2230].speaker SPEAKER_11
transcript.pyannote[2230].start 13207.35096875
transcript.pyannote[2230].end 13208.43096875
transcript.pyannote[2231].speaker SPEAKER_17
transcript.pyannote[2231].start 13208.11034375
transcript.pyannote[2231].end 13208.97096875
transcript.pyannote[2232].speaker SPEAKER_11
transcript.pyannote[2232].start 13208.97096875
transcript.pyannote[2232].end 13209.08909375
transcript.pyannote[2233].speaker SPEAKER_11
transcript.pyannote[2233].start 13209.12284375
transcript.pyannote[2233].end 13210.84409375
transcript.pyannote[2234].speaker SPEAKER_17
transcript.pyannote[2234].start 13210.55721875
transcript.pyannote[2234].end 13220.74971875
transcript.pyannote[2235].speaker SPEAKER_66
transcript.pyannote[2235].start 13221.13784375
transcript.pyannote[2235].end 13221.50909375
transcript.pyannote[2236].speaker SPEAKER_17
transcript.pyannote[2236].start 13221.22221875
transcript.pyannote[2236].end 13222.84221875
transcript.pyannote[2237].speaker SPEAKER_17
transcript.pyannote[2237].start 13222.96034375
transcript.pyannote[2237].end 13231.38096875
transcript.pyannote[2238].speaker SPEAKER_17
transcript.pyannote[2238].start 13232.24159375
transcript.pyannote[2238].end 13236.86534375
transcript.pyannote[2239].speaker SPEAKER_17
transcript.pyannote[2239].start 13237.75971875
transcript.pyannote[2239].end 13237.77659375
transcript.pyannote[2240].speaker SPEAKER_11
transcript.pyannote[2240].start 13237.77659375
transcript.pyannote[2240].end 13244.39159375
transcript.pyannote[2241].speaker SPEAKER_17
transcript.pyannote[2241].start 13243.69971875
transcript.pyannote[2241].end 13244.37471875
transcript.pyannote[2242].speaker SPEAKER_17
transcript.pyannote[2242].start 13244.39159375
transcript.pyannote[2242].end 13244.96534375
transcript.pyannote[2243].speaker SPEAKER_11
transcript.pyannote[2243].start 13244.96534375
transcript.pyannote[2243].end 13247.10846875
transcript.pyannote[2244].speaker SPEAKER_11
transcript.pyannote[2244].start 13247.54721875
transcript.pyannote[2244].end 13248.30659375
transcript.pyannote[2245].speaker SPEAKER_17
transcript.pyannote[2245].start 13248.30659375
transcript.pyannote[2245].end 13248.44159375
transcript.pyannote[2246].speaker SPEAKER_11
transcript.pyannote[2246].start 13248.81284375
transcript.pyannote[2246].end 13249.03221875
transcript.pyannote[2247].speaker SPEAKER_17
transcript.pyannote[2247].start 13249.03221875
transcript.pyannote[2247].end 13249.80846875
transcript.pyannote[2248].speaker SPEAKER_11
transcript.pyannote[2248].start 13249.80846875
transcript.pyannote[2248].end 13250.71971875
transcript.pyannote[2249].speaker SPEAKER_17
transcript.pyannote[2249].start 13250.71971875
transcript.pyannote[2249].end 13253.40284375
transcript.pyannote[2250].speaker SPEAKER_11
transcript.pyannote[2250].start 13250.73659375
transcript.pyannote[2250].end 13251.14159375
transcript.pyannote[2251].speaker SPEAKER_11
transcript.pyannote[2251].start 13251.79971875
transcript.pyannote[2251].end 13253.38596875
transcript.pyannote[2252].speaker SPEAKER_11
transcript.pyannote[2252].start 13253.40284375
transcript.pyannote[2252].end 13253.68971875
transcript.pyannote[2253].speaker SPEAKER_17
transcript.pyannote[2253].start 13253.43659375
transcript.pyannote[2253].end 13257.62159375
transcript.pyannote[2254].speaker SPEAKER_64
transcript.pyannote[2254].start 13258.92096875
transcript.pyannote[2254].end 13259.74784375
transcript.pyannote[2255].speaker SPEAKER_64
transcript.pyannote[2255].start 13260.16971875
transcript.pyannote[2255].end 13260.72659375
transcript.pyannote[2256].speaker SPEAKER_17
transcript.pyannote[2256].start 13260.20346875
transcript.pyannote[2256].end 13262.39721875
transcript.pyannote[2257].speaker SPEAKER_17
transcript.pyannote[2257].start 13263.17346875
transcript.pyannote[2257].end 13287.16971875
transcript.pyannote[2258].speaker SPEAKER_17
transcript.pyannote[2258].start 13287.97971875
transcript.pyannote[2258].end 13304.92221875
transcript.pyannote[2259].speaker SPEAKER_65
transcript.pyannote[2259].start 13306.05284375
transcript.pyannote[2259].end 13308.90471875
transcript.pyannote[2260].speaker SPEAKER_17
transcript.pyannote[2260].start 13308.83721875
transcript.pyannote[2260].end 13325.89784375
transcript.pyannote[2261].speaker SPEAKER_65
transcript.pyannote[2261].start 13328.46284375
transcript.pyannote[2261].end 13334.30159375
transcript.pyannote[2262].speaker SPEAKER_58
transcript.pyannote[2262].start 13328.64846875
transcript.pyannote[2262].end 13329.67784375
transcript.pyannote[2263].speaker SPEAKER_26
transcript.pyannote[2263].start 13329.67784375
transcript.pyannote[2263].end 13329.72846875
transcript.pyannote[2264].speaker SPEAKER_17
transcript.pyannote[2264].start 13329.72846875
transcript.pyannote[2264].end 13331.19659375
transcript.pyannote[2265].speaker SPEAKER_17
transcript.pyannote[2265].start 13332.27659375
transcript.pyannote[2265].end 13346.97471875
transcript.pyannote[2266].speaker SPEAKER_55
transcript.pyannote[2266].start 13346.40096875
transcript.pyannote[2266].end 13348.76346875
transcript.pyannote[2267].speaker SPEAKER_17
transcript.pyannote[2267].start 13347.66659375
transcript.pyannote[2267].end 13347.85221875
transcript.pyannote[2268].speaker SPEAKER_55
transcript.pyannote[2268].start 13349.08409375
transcript.pyannote[2268].end 13350.75471875
transcript.pyannote[2269].speaker SPEAKER_66
transcript.pyannote[2269].start 13349.57346875
transcript.pyannote[2269].end 13349.59034375
transcript.pyannote[2270].speaker SPEAKER_55
transcript.pyannote[2270].start 13351.86846875
transcript.pyannote[2270].end 13354.99034375
transcript.pyannote[2271].speaker SPEAKER_38
transcript.pyannote[2271].start 13364.79471875
transcript.pyannote[2271].end 13366.98846875
transcript.pyannote[2272].speaker SPEAKER_38
transcript.pyannote[2272].start 13367.29221875
transcript.pyannote[2272].end 13367.93346875
transcript.pyannote[2273].speaker SPEAKER_59
transcript.pyannote[2273].start 13368.03471875
transcript.pyannote[2273].end 13369.03034375
transcript.pyannote[2274].speaker SPEAKER_58
transcript.pyannote[2274].start 13375.13909375
transcript.pyannote[2274].end 13378.12596875
transcript.pyannote[2275].speaker SPEAKER_66
transcript.pyannote[2275].start 13377.11346875
transcript.pyannote[2275].end 13377.41721875
transcript.pyannote[2276].speaker SPEAKER_58
transcript.pyannote[2276].start 13378.81784375
transcript.pyannote[2276].end 13379.05409375
transcript.pyannote[2277].speaker SPEAKER_58
transcript.pyannote[2277].start 13381.78784375
transcript.pyannote[2277].end 13382.34471875
transcript.pyannote[2278].speaker SPEAKER_05
transcript.pyannote[2278].start 13387.06971875
transcript.pyannote[2278].end 13387.57596875
transcript.pyannote[2279].speaker SPEAKER_38
transcript.pyannote[2279].start 13387.89659375
transcript.pyannote[2279].end 13389.14534375
transcript.pyannote[2280].speaker SPEAKER_38
transcript.pyannote[2280].start 13389.17909375
transcript.pyannote[2280].end 13451.54909375
transcript.pyannote[2281].speaker SPEAKER_05
transcript.pyannote[2281].start 13453.38846875
transcript.pyannote[2281].end 13474.88721875
transcript.pyannote[2282].speaker SPEAKER_05
transcript.pyannote[2282].start 13475.10659375
transcript.pyannote[2282].end 13486.83471875
transcript.pyannote[2283].speaker SPEAKER_05
transcript.pyannote[2283].start 13487.57721875
transcript.pyannote[2283].end 13493.61846875
transcript.pyannote[2284].speaker SPEAKER_05
transcript.pyannote[2284].start 13493.92221875
transcript.pyannote[2284].end 13495.44096875
transcript.pyannote[2285].speaker SPEAKER_38
transcript.pyannote[2285].start 13495.03596875
transcript.pyannote[2285].end 13502.19096875
transcript.pyannote[2286].speaker SPEAKER_05
transcript.pyannote[2286].start 13502.27534375
transcript.pyannote[2286].end 13504.94159375
transcript.pyannote[2287].speaker SPEAKER_38
transcript.pyannote[2287].start 13505.05971875
transcript.pyannote[2287].end 13509.29534375
transcript.pyannote[2288].speaker SPEAKER_05
transcript.pyannote[2288].start 13505.51534375
transcript.pyannote[2288].end 13506.71346875
transcript.pyannote[2289].speaker SPEAKER_38
transcript.pyannote[2289].start 13509.90284375
transcript.pyannote[2289].end 13526.15346875
transcript.pyannote[2290].speaker SPEAKER_05
transcript.pyannote[2290].start 13526.60909375
transcript.pyannote[2290].end 13527.68909375
transcript.pyannote[2291].speaker SPEAKER_38
transcript.pyannote[2291].start 13527.68909375
transcript.pyannote[2291].end 13577.74034375
transcript.pyannote[2292].speaker SPEAKER_38
transcript.pyannote[2292].start 13578.04409375
transcript.pyannote[2292].end 13597.83846875
transcript.pyannote[2293].speaker SPEAKER_05
transcript.pyannote[2293].start 13598.53034375
transcript.pyannote[2293].end 13610.08971875
transcript.pyannote[2294].speaker SPEAKER_05
transcript.pyannote[2294].start 13610.54534375
transcript.pyannote[2294].end 13630.84596875
transcript.pyannote[2295].speaker SPEAKER_38
transcript.pyannote[2295].start 13630.93034375
transcript.pyannote[2295].end 13671.98721875
transcript.pyannote[2296].speaker SPEAKER_52
transcript.pyannote[2296].start 13661.99721875
transcript.pyannote[2296].end 13662.03096875
transcript.pyannote[2297].speaker SPEAKER_66
transcript.pyannote[2297].start 13662.03096875
transcript.pyannote[2297].end 13662.38534375
transcript.pyannote[2298].speaker SPEAKER_52
transcript.pyannote[2298].start 13662.38534375
transcript.pyannote[2298].end 13662.41909375
transcript.pyannote[2299].speaker SPEAKER_05
transcript.pyannote[2299].start 13672.24034375
transcript.pyannote[2299].end 13714.44471875
transcript.pyannote[2300].speaker SPEAKER_38
transcript.pyannote[2300].start 13713.02721875
transcript.pyannote[2300].end 13723.47284375
transcript.pyannote[2301].speaker SPEAKER_05
transcript.pyannote[2301].start 13716.36846875
transcript.pyannote[2301].end 13717.16159375
transcript.pyannote[2302].speaker SPEAKER_05
transcript.pyannote[2302].start 13723.72596875
transcript.pyannote[2302].end 13734.55971875
transcript.pyannote[2303].speaker SPEAKER_38
transcript.pyannote[2303].start 13732.68659375
transcript.pyannote[2303].end 13733.19284375
transcript.pyannote[2304].speaker SPEAKER_38
transcript.pyannote[2304].start 13733.85096875
transcript.pyannote[2304].end 13734.99846875
transcript.pyannote[2305].speaker SPEAKER_55
transcript.pyannote[2305].start 13734.55971875
transcript.pyannote[2305].end 13736.82096875
transcript.pyannote[2306].speaker SPEAKER_55
transcript.pyannote[2306].start 13737.49596875
transcript.pyannote[2306].end 13739.48721875
transcript.pyannote[2307].speaker SPEAKER_18
transcript.pyannote[2307].start 13746.35534375
transcript.pyannote[2307].end 13749.03846875
transcript.pyannote[2308].speaker SPEAKER_18
transcript.pyannote[2308].start 13749.29159375
transcript.pyannote[2308].end 13749.30846875
transcript.pyannote[2309].speaker SPEAKER_55
transcript.pyannote[2309].start 13749.30846875
transcript.pyannote[2309].end 13749.47721875
transcript.pyannote[2310].speaker SPEAKER_18
transcript.pyannote[2310].start 13749.47721875
transcript.pyannote[2310].end 13749.96659375
transcript.pyannote[2311].speaker SPEAKER_55
transcript.pyannote[2311].start 13749.96659375
transcript.pyannote[2311].end 13749.98346875
transcript.pyannote[2312].speaker SPEAKER_18
transcript.pyannote[2312].start 13749.98346875
transcript.pyannote[2312].end 13750.01721875
transcript.pyannote[2313].speaker SPEAKER_55
transcript.pyannote[2313].start 13750.01721875
transcript.pyannote[2313].end 13754.21909375
transcript.pyannote[2314].speaker SPEAKER_18
transcript.pyannote[2314].start 13760.71596875
transcript.pyannote[2314].end 13761.37409375
transcript.pyannote[2315].speaker SPEAKER_18
transcript.pyannote[2315].start 13761.98159375
transcript.pyannote[2315].end 13781.32034375
transcript.pyannote[2316].speaker SPEAKER_47
transcript.pyannote[2316].start 13781.84346875
transcript.pyannote[2316].end 13792.67721875
transcript.pyannote[2317].speaker SPEAKER_18
transcript.pyannote[2317].start 13789.53846875
transcript.pyannote[2317].end 13790.50034375
transcript.pyannote[2318].speaker SPEAKER_18
transcript.pyannote[2318].start 13792.15409375
transcript.pyannote[2318].end 13793.89221875
transcript.pyannote[2319].speaker SPEAKER_47
transcript.pyannote[2319].start 13793.48721875
transcript.pyannote[2319].end 13797.46971875
transcript.pyannote[2320].speaker SPEAKER_18
transcript.pyannote[2320].start 13794.83721875
transcript.pyannote[2320].end 13798.14471875
transcript.pyannote[2321].speaker SPEAKER_47
transcript.pyannote[2321].start 13797.82409375
transcript.pyannote[2321].end 13800.69284375
transcript.pyannote[2322].speaker SPEAKER_18
transcript.pyannote[2322].start 13799.24159375
transcript.pyannote[2322].end 13803.69659375
transcript.pyannote[2323].speaker SPEAKER_47
transcript.pyannote[2323].start 13803.81471875
transcript.pyannote[2323].end 13807.05471875
transcript.pyannote[2324].speaker SPEAKER_18
transcript.pyannote[2324].start 13805.29971875
transcript.pyannote[2324].end 13809.14721875
transcript.pyannote[2325].speaker SPEAKER_47
transcript.pyannote[2325].start 13809.02909375
transcript.pyannote[2325].end 13816.60596875
transcript.pyannote[2326].speaker SPEAKER_18
transcript.pyannote[2326].start 13809.19784375
transcript.pyannote[2326].end 13809.21471875
transcript.pyannote[2327].speaker SPEAKER_18
transcript.pyannote[2327].start 13813.75409375
transcript.pyannote[2327].end 13814.34471875
transcript.pyannote[2328].speaker SPEAKER_18
transcript.pyannote[2328].start 13815.13784375
transcript.pyannote[2328].end 13818.56346875
transcript.pyannote[2329].speaker SPEAKER_47
transcript.pyannote[2329].start 13817.17971875
transcript.pyannote[2329].end 13821.26346875
transcript.pyannote[2330].speaker SPEAKER_18
transcript.pyannote[2330].start 13820.52096875
transcript.pyannote[2330].end 13838.12159375
transcript.pyannote[2331].speaker SPEAKER_47
transcript.pyannote[2331].start 13835.08409375
transcript.pyannote[2331].end 13835.65784375
transcript.pyannote[2332].speaker SPEAKER_47
transcript.pyannote[2332].start 13837.49721875
transcript.pyannote[2332].end 13839.08346875
transcript.pyannote[2333].speaker SPEAKER_18
transcript.pyannote[2333].start 13838.66159375
transcript.pyannote[2333].end 13840.88909375
transcript.pyannote[2334].speaker SPEAKER_66
transcript.pyannote[2334].start 13841.34471875
transcript.pyannote[2334].end 13841.36159375
transcript.pyannote[2335].speaker SPEAKER_47
transcript.pyannote[2335].start 13841.36159375
transcript.pyannote[2335].end 13842.12096875
transcript.pyannote[2336].speaker SPEAKER_18
transcript.pyannote[2336].start 13841.73284375
transcript.pyannote[2336].end 13875.51659375
transcript.pyannote[2337].speaker SPEAKER_08
transcript.pyannote[2337].start 13876.02284375
transcript.pyannote[2337].end 13881.16971875
transcript.pyannote[2338].speaker SPEAKER_08
transcript.pyannote[2338].start 13881.42284375
transcript.pyannote[2338].end 13883.29596875
transcript.pyannote[2339].speaker SPEAKER_08
transcript.pyannote[2339].start 13883.78534375
transcript.pyannote[2339].end 13890.50159375
transcript.pyannote[2340].speaker SPEAKER_08
transcript.pyannote[2340].start 13890.88971875
transcript.pyannote[2340].end 13898.78721875
transcript.pyannote[2341].speaker SPEAKER_18
transcript.pyannote[2341].start 13891.44659375
transcript.pyannote[2341].end 13892.47596875
transcript.pyannote[2342].speaker SPEAKER_08
transcript.pyannote[2342].start 13899.00659375
transcript.pyannote[2342].end 13919.03721875
transcript.pyannote[2343].speaker SPEAKER_18
transcript.pyannote[2343].start 13903.24221875
transcript.pyannote[2343].end 13907.49471875
transcript.pyannote[2344].speaker SPEAKER_18
transcript.pyannote[2344].start 13919.03721875
transcript.pyannote[2344].end 13968.29534375
transcript.pyannote[2345].speaker SPEAKER_52
transcript.pyannote[2345].start 13943.38784375
transcript.pyannote[2345].end 13943.82659375
transcript.pyannote[2346].speaker SPEAKER_52
transcript.pyannote[2346].start 13951.52159375
transcript.pyannote[2346].end 13952.12909375
transcript.pyannote[2347].speaker SPEAKER_08
transcript.pyannote[2347].start 13968.29534375
transcript.pyannote[2347].end 13968.54846875
transcript.pyannote[2348].speaker SPEAKER_18
transcript.pyannote[2348].start 13968.54846875
transcript.pyannote[2348].end 13968.97034375
transcript.pyannote[2349].speaker SPEAKER_08
transcript.pyannote[2349].start 13968.97034375
transcript.pyannote[2349].end 13969.79721875
transcript.pyannote[2350].speaker SPEAKER_18
transcript.pyannote[2350].start 13969.79721875
transcript.pyannote[2350].end 13969.96596875
transcript.pyannote[2351].speaker SPEAKER_08
transcript.pyannote[2351].start 13969.96596875
transcript.pyannote[2351].end 13995.51471875
transcript.pyannote[2352].speaker SPEAKER_18
transcript.pyannote[2352].start 13993.16909375
transcript.pyannote[2352].end 14040.82409375
transcript.pyannote[2353].speaker SPEAKER_08
transcript.pyannote[2353].start 13995.97034375
transcript.pyannote[2353].end 13996.39221875
transcript.pyannote[2354].speaker SPEAKER_08
transcript.pyannote[2354].start 13998.46784375
transcript.pyannote[2354].end 13999.76721875
transcript.pyannote[2355].speaker SPEAKER_08
transcript.pyannote[2355].start 14000.98221875
transcript.pyannote[2355].end 14001.35346875
transcript.pyannote[2356].speaker SPEAKER_08
transcript.pyannote[2356].start 14002.53471875
transcript.pyannote[2356].end 14002.97346875
transcript.pyannote[2357].speaker SPEAKER_30
transcript.pyannote[2357].start 14002.97346875
transcript.pyannote[2357].end 14003.69909375
transcript.pyannote[2358].speaker SPEAKER_30
transcript.pyannote[2358].start 14005.31909375
transcript.pyannote[2358].end 14006.38221875
transcript.pyannote[2359].speaker SPEAKER_52
transcript.pyannote[2359].start 14011.95096875
transcript.pyannote[2359].end 14013.97596875
transcript.pyannote[2360].speaker SPEAKER_52
transcript.pyannote[2360].start 14016.99659375
transcript.pyannote[2360].end 14017.21596875
transcript.pyannote[2361].speaker SPEAKER_52
transcript.pyannote[2361].start 14018.07659375
transcript.pyannote[2361].end 14018.21159375
transcript.pyannote[2362].speaker SPEAKER_52
transcript.pyannote[2362].start 14039.91284375
transcript.pyannote[2362].end 14040.40221875
transcript.pyannote[2363].speaker SPEAKER_18
transcript.pyannote[2363].start 14041.27971875
transcript.pyannote[2363].end 14054.08784375
transcript.pyannote[2364].speaker SPEAKER_08
transcript.pyannote[2364].start 14054.22284375
transcript.pyannote[2364].end 14070.57471875
transcript.pyannote[2365].speaker SPEAKER_18
transcript.pyannote[2365].start 14067.08159375
transcript.pyannote[2365].end 14068.27971875
transcript.pyannote[2366].speaker SPEAKER_18
transcript.pyannote[2366].start 14069.29221875
transcript.pyannote[2366].end 14100.74721875
transcript.pyannote[2367].speaker SPEAKER_08
transcript.pyannote[2367].start 14072.66721875
transcript.pyannote[2367].end 14073.35909375
transcript.pyannote[2368].speaker SPEAKER_08
transcript.pyannote[2368].start 14073.83159375
transcript.pyannote[2368].end 14074.99596875
transcript.pyannote[2369].speaker SPEAKER_08
transcript.pyannote[2369].start 14075.02971875
transcript.pyannote[2369].end 14075.40096875
transcript.pyannote[2370].speaker SPEAKER_08
transcript.pyannote[2370].start 14076.00846875
transcript.pyannote[2370].end 14078.25284375
transcript.pyannote[2371].speaker SPEAKER_18
transcript.pyannote[2371].start 14101.30409375
transcript.pyannote[2371].end 14102.65409375
transcript.pyannote[2372].speaker SPEAKER_18
transcript.pyannote[2372].start 14103.39659375
transcript.pyannote[2372].end 14106.97409375
transcript.pyannote[2373].speaker SPEAKER_08
transcript.pyannote[2373].start 14104.22346875
transcript.pyannote[2373].end 14106.51846875
transcript.pyannote[2374].speaker SPEAKER_08
transcript.pyannote[2374].start 14106.82221875
transcript.pyannote[2374].end 14107.02471875
transcript.pyannote[2375].speaker SPEAKER_18
transcript.pyannote[2375].start 14107.02471875
transcript.pyannote[2375].end 14135.93159375
transcript.pyannote[2376].speaker SPEAKER_08
transcript.pyannote[2376].start 14107.04159375
transcript.pyannote[2376].end 14107.07534375
transcript.pyannote[2377].speaker SPEAKER_52
transcript.pyannote[2377].start 14120.32221875
transcript.pyannote[2377].end 14121.52034375
transcript.pyannote[2378].speaker SPEAKER_08
transcript.pyannote[2378].start 14135.64471875
transcript.pyannote[2378].end 14145.02721875
transcript.pyannote[2379].speaker SPEAKER_18
transcript.pyannote[2379].start 14145.02721875
transcript.pyannote[2379].end 14145.21284375
transcript.pyannote[2380].speaker SPEAKER_08
transcript.pyannote[2380].start 14145.21284375
transcript.pyannote[2380].end 14146.51221875
transcript.pyannote[2381].speaker SPEAKER_18
transcript.pyannote[2381].start 14145.46596875
transcript.pyannote[2381].end 14153.07659375
transcript.pyannote[2382].speaker SPEAKER_18
transcript.pyannote[2382].start 14153.48159375
transcript.pyannote[2382].end 14160.68721875
transcript.pyannote[2383].speaker SPEAKER_08
transcript.pyannote[2383].start 14153.71784375
transcript.pyannote[2383].end 14154.25784375
transcript.pyannote[2384].speaker SPEAKER_08
transcript.pyannote[2384].start 14159.89409375
transcript.pyannote[2384].end 14161.32846875
transcript.pyannote[2385].speaker SPEAKER_55
transcript.pyannote[2385].start 14161.32846875
transcript.pyannote[2385].end 14162.15534375
transcript.pyannote[2386].speaker SPEAKER_55
transcript.pyannote[2386].start 14163.26909375
transcript.pyannote[2386].end 14173.64721875
transcript.pyannote[2387].speaker SPEAKER_55
transcript.pyannote[2387].start 14173.84971875
transcript.pyannote[2387].end 14177.73096875
transcript.pyannote[2388].speaker SPEAKER_54
transcript.pyannote[2388].start 14184.46409375
transcript.pyannote[2388].end 14191.66971875
transcript.pyannote[2389].speaker SPEAKER_51
transcript.pyannote[2389].start 14190.70784375
transcript.pyannote[2389].end 14191.56846875
transcript.pyannote[2390].speaker SPEAKER_57
transcript.pyannote[2390].start 14196.95159375
transcript.pyannote[2390].end 14198.47034375
transcript.pyannote[2391].speaker SPEAKER_41
transcript.pyannote[2391].start 14208.00471875
transcript.pyannote[2391].end 14208.64596875
transcript.pyannote[2392].speaker SPEAKER_54
transcript.pyannote[2392].start 14208.71346875
transcript.pyannote[2392].end 14234.78534375
transcript.pyannote[2393].speaker SPEAKER_54
transcript.pyannote[2393].start 14234.97096875
transcript.pyannote[2393].end 14262.88221875
transcript.pyannote[2394].speaker SPEAKER_54
transcript.pyannote[2394].start 14263.82721875
transcript.pyannote[2394].end 14276.53409375
transcript.pyannote[2395].speaker SPEAKER_54
transcript.pyannote[2395].start 14276.73659375
transcript.pyannote[2395].end 14297.27346875
transcript.pyannote[2396].speaker SPEAKER_41
transcript.pyannote[2396].start 14297.27346875
transcript.pyannote[2396].end 14323.46346875
transcript.pyannote[2397].speaker SPEAKER_67
transcript.pyannote[2397].start 14323.46346875
transcript.pyannote[2397].end 14324.25659375
transcript.pyannote[2398].speaker SPEAKER_67
transcript.pyannote[2398].start 14324.67846875
transcript.pyannote[2398].end 14358.83346875
transcript.pyannote[2399].speaker SPEAKER_52
transcript.pyannote[2399].start 14333.53784375
transcript.pyannote[2399].end 14333.80784375
transcript.pyannote[2400].speaker SPEAKER_52
transcript.pyannote[2400].start 14333.95971875
transcript.pyannote[2400].end 14334.01034375
transcript.pyannote[2401].speaker SPEAKER_67
transcript.pyannote[2401].start 14359.33971875
transcript.pyannote[2401].end 14376.41721875
transcript.pyannote[2402].speaker SPEAKER_54
transcript.pyannote[2402].start 14376.34971875
transcript.pyannote[2402].end 14390.32221875
transcript.pyannote[2403].speaker SPEAKER_67
transcript.pyannote[2403].start 14376.53534375
transcript.pyannote[2403].end 14377.71659375
transcript.pyannote[2404].speaker SPEAKER_66
transcript.pyannote[2404].start 14385.09096875
transcript.pyannote[2404].end 14385.46221875
transcript.pyannote[2405].speaker SPEAKER_52
transcript.pyannote[2405].start 14385.46221875
transcript.pyannote[2405].end 14385.47909375
transcript.pyannote[2406].speaker SPEAKER_66
transcript.pyannote[2406].start 14387.95971875
transcript.pyannote[2406].end 14388.06096875
transcript.pyannote[2407].speaker SPEAKER_54
transcript.pyannote[2407].start 14390.44034375
transcript.pyannote[2407].end 14406.57284375
transcript.pyannote[2408].speaker SPEAKER_67
transcript.pyannote[2408].start 14406.57284375
transcript.pyannote[2408].end 14427.75096875
transcript.pyannote[2409].speaker SPEAKER_54
transcript.pyannote[2409].start 14406.58971875
transcript.pyannote[2409].end 14406.65721875
transcript.pyannote[2410].speaker SPEAKER_67
transcript.pyannote[2410].start 14427.83534375
transcript.pyannote[2410].end 14433.33659375
transcript.pyannote[2411].speaker SPEAKER_67
transcript.pyannote[2411].start 14433.55596875
transcript.pyannote[2411].end 14434.78784375
transcript.pyannote[2412].speaker SPEAKER_67
transcript.pyannote[2412].start 14434.85534375
transcript.pyannote[2412].end 14447.76471875
transcript.pyannote[2413].speaker SPEAKER_67
transcript.pyannote[2413].start 14448.05159375
transcript.pyannote[2413].end 14448.92909375
transcript.pyannote[2414].speaker SPEAKER_67
transcript.pyannote[2414].start 14449.67159375
transcript.pyannote[2414].end 14452.10159375
transcript.pyannote[2415].speaker SPEAKER_67
transcript.pyannote[2415].start 14452.54034375
transcript.pyannote[2415].end 14461.56846875
transcript.pyannote[2416].speaker SPEAKER_67
transcript.pyannote[2416].start 14462.56409375
transcript.pyannote[2416].end 14466.49596875
transcript.pyannote[2417].speaker SPEAKER_67
transcript.pyannote[2417].start 14466.90096875
transcript.pyannote[2417].end 14467.74471875
transcript.pyannote[2418].speaker SPEAKER_67
transcript.pyannote[2418].start 14467.81221875
transcript.pyannote[2418].end 14470.54596875
transcript.pyannote[2419].speaker SPEAKER_67
transcript.pyannote[2419].start 14470.81596875
transcript.pyannote[2419].end 14474.39346875
transcript.pyannote[2420].speaker SPEAKER_67
transcript.pyannote[2420].start 14474.78159375
transcript.pyannote[2420].end 14487.97784375
transcript.pyannote[2421].speaker SPEAKER_52
transcript.pyannote[2421].start 14485.42971875
transcript.pyannote[2421].end 14485.88534375
transcript.pyannote[2422].speaker SPEAKER_67
transcript.pyannote[2422].start 14488.36596875
transcript.pyannote[2422].end 14499.67221875
transcript.pyannote[2423].speaker SPEAKER_54
transcript.pyannote[2423].start 14500.02659375
transcript.pyannote[2423].end 14515.80471875
transcript.pyannote[2424].speaker SPEAKER_67
transcript.pyannote[2424].start 14515.38284375
transcript.pyannote[2424].end 14520.98534375
transcript.pyannote[2425].speaker SPEAKER_67
transcript.pyannote[2425].start 14521.67721875
transcript.pyannote[2425].end 14523.83721875
transcript.pyannote[2426].speaker SPEAKER_67
transcript.pyannote[2426].start 14524.07346875
transcript.pyannote[2426].end 14532.08909375
transcript.pyannote[2427].speaker SPEAKER_67
transcript.pyannote[2427].start 14532.15659375
transcript.pyannote[2427].end 14534.02971875
transcript.pyannote[2428].speaker SPEAKER_54
transcript.pyannote[2428].start 14532.24096875
transcript.pyannote[2428].end 14544.00284375
transcript.pyannote[2429].speaker SPEAKER_67
transcript.pyannote[2429].start 14535.70034375
transcript.pyannote[2429].end 14536.34159375
transcript.pyannote[2430].speaker SPEAKER_67
transcript.pyannote[2430].start 14543.05784375
transcript.pyannote[2430].end 14548.89659375
transcript.pyannote[2431].speaker SPEAKER_54
transcript.pyannote[2431].start 14548.89659375
transcript.pyannote[2431].end 14548.91346875
transcript.pyannote[2432].speaker SPEAKER_67
transcript.pyannote[2432].start 14548.91346875
transcript.pyannote[2432].end 14549.25096875
transcript.pyannote[2433].speaker SPEAKER_54
transcript.pyannote[2433].start 14548.93034375
transcript.pyannote[2433].end 14555.39346875
transcript.pyannote[2434].speaker SPEAKER_67
transcript.pyannote[2434].start 14555.54534375
transcript.pyannote[2434].end 14573.43284375
transcript.pyannote[2435].speaker SPEAKER_54
transcript.pyannote[2435].start 14561.48534375
transcript.pyannote[2435].end 14561.82284375
transcript.pyannote[2436].speaker SPEAKER_54
transcript.pyannote[2436].start 14563.49346875
transcript.pyannote[2436].end 14564.03346875
transcript.pyannote[2437].speaker SPEAKER_55
transcript.pyannote[2437].start 14564.03346875
transcript.pyannote[2437].end 14566.86846875
transcript.pyannote[2438].speaker SPEAKER_55
transcript.pyannote[2438].start 14567.81346875
transcript.pyannote[2438].end 14577.41534375
transcript.pyannote[2439].speaker SPEAKER_57
transcript.pyannote[2439].start 14578.84971875
transcript.pyannote[2439].end 14579.79471875
transcript.pyannote[2440].speaker SPEAKER_57
transcript.pyannote[2440].start 14579.96346875
transcript.pyannote[2440].end 14580.04784375
transcript.pyannote[2441].speaker SPEAKER_57
transcript.pyannote[2441].start 14580.87471875
transcript.pyannote[2441].end 14581.36409375
transcript.pyannote[2442].speaker SPEAKER_55
transcript.pyannote[2442].start 14583.11909375
transcript.pyannote[2442].end 14583.32159375
transcript.pyannote[2443].speaker SPEAKER_55
transcript.pyannote[2443].start 14584.14846875
transcript.pyannote[2443].end 14587.96221875
transcript.pyannote[2444].speaker SPEAKER_55
transcript.pyannote[2444].start 14588.43471875
transcript.pyannote[2444].end 14590.24034375
transcript.pyannote[2445].speaker SPEAKER_31
transcript.pyannote[2445].start 14596.58534375
transcript.pyannote[2445].end 14596.72034375
transcript.pyannote[2446].speaker SPEAKER_31
transcript.pyannote[2446].start 14597.29409375
transcript.pyannote[2446].end 14597.54721875
transcript.pyannote[2447].speaker SPEAKER_31
transcript.pyannote[2447].start 14598.40784375
transcript.pyannote[2447].end 14601.44534375
transcript.pyannote[2448].speaker SPEAKER_31
transcript.pyannote[2448].start 14601.86721875
transcript.pyannote[2448].end 14603.99346875
transcript.pyannote[2449].speaker SPEAKER_57
transcript.pyannote[2449].start 14604.65159375
transcript.pyannote[2449].end 14611.75596875
transcript.pyannote[2450].speaker SPEAKER_31
transcript.pyannote[2450].start 14606.79471875
transcript.pyannote[2450].end 14610.00096875
transcript.pyannote[2451].speaker SPEAKER_55
transcript.pyannote[2451].start 14614.28721875
transcript.pyannote[2451].end 14614.30409375
transcript.pyannote[2452].speaker SPEAKER_68
transcript.pyannote[2452].start 14614.30409375
transcript.pyannote[2452].end 14614.96221875
transcript.pyannote[2453].speaker SPEAKER_57
transcript.pyannote[2453].start 14614.96221875
transcript.pyannote[2453].end 14615.02971875
transcript.pyannote[2454].speaker SPEAKER_68
transcript.pyannote[2454].start 14615.02971875
transcript.pyannote[2454].end 14615.53596875
transcript.pyannote[2455].speaker SPEAKER_57
transcript.pyannote[2455].start 14615.53596875
transcript.pyannote[2455].end 14615.58659375
transcript.pyannote[2456].speaker SPEAKER_57
transcript.pyannote[2456].start 14616.00846875
transcript.pyannote[2456].end 14616.05909375
transcript.pyannote[2457].speaker SPEAKER_31
transcript.pyannote[2457].start 14616.05909375
transcript.pyannote[2457].end 14616.32909375
transcript.pyannote[2458].speaker SPEAKER_68
transcript.pyannote[2458].start 14616.26159375
transcript.pyannote[2458].end 14616.29534375
transcript.pyannote[2459].speaker SPEAKER_57
transcript.pyannote[2459].start 14616.29534375
transcript.pyannote[2459].end 14619.01221875
transcript.pyannote[2460].speaker SPEAKER_68
transcript.pyannote[2460].start 14616.32909375
transcript.pyannote[2460].end 14617.30784375
transcript.pyannote[2461].speaker SPEAKER_31
transcript.pyannote[2461].start 14617.30784375
transcript.pyannote[2461].end 14617.47659375
transcript.pyannote[2462].speaker SPEAKER_68
transcript.pyannote[2462].start 14617.47659375
transcript.pyannote[2462].end 14618.06721875
transcript.pyannote[2463].speaker SPEAKER_68
transcript.pyannote[2463].start 14619.06284375
transcript.pyannote[2463].end 14622.72471875
transcript.pyannote[2464].speaker SPEAKER_31
transcript.pyannote[2464].start 14621.03721875
transcript.pyannote[2464].end 14622.06659375
transcript.pyannote[2465].speaker SPEAKER_31
transcript.pyannote[2465].start 14622.72471875
transcript.pyannote[2465].end 14638.23284375
transcript.pyannote[2466].speaker SPEAKER_68
transcript.pyannote[2466].start 14622.74159375
transcript.pyannote[2466].end 14622.87659375
transcript.pyannote[2467].speaker SPEAKER_68
transcript.pyannote[2467].start 14625.18846875
transcript.pyannote[2467].end 14625.22221875
transcript.pyannote[2468].speaker SPEAKER_66
transcript.pyannote[2468].start 14625.22221875
transcript.pyannote[2468].end 14625.47534375
transcript.pyannote[2469].speaker SPEAKER_31
transcript.pyannote[2469].start 14638.41846875
transcript.pyannote[2469].end 14648.47596875
transcript.pyannote[2470].speaker SPEAKER_52
transcript.pyannote[2470].start 14640.15659375
transcript.pyannote[2470].end 14640.17346875
transcript.pyannote[2471].speaker SPEAKER_66
transcript.pyannote[2471].start 14640.17346875
transcript.pyannote[2471].end 14640.54471875
transcript.pyannote[2472].speaker SPEAKER_31
transcript.pyannote[2472].start 14649.53909375
transcript.pyannote[2472].end 14657.21721875
transcript.pyannote[2473].speaker SPEAKER_68
transcript.pyannote[2473].start 14657.21721875
transcript.pyannote[2473].end 14657.31846875
transcript.pyannote[2474].speaker SPEAKER_31
transcript.pyannote[2474].start 14657.31846875
transcript.pyannote[2474].end 14660.84534375
transcript.pyannote[2475].speaker SPEAKER_68
transcript.pyannote[2475].start 14661.16596875
transcript.pyannote[2475].end 14666.16096875
transcript.pyannote[2476].speaker SPEAKER_31
transcript.pyannote[2476].start 14665.77284375
transcript.pyannote[2476].end 14668.21971875
transcript.pyannote[2477].speaker SPEAKER_68
transcript.pyannote[2477].start 14667.32534375
transcript.pyannote[2477].end 14695.05096875
transcript.pyannote[2478].speaker SPEAKER_31
transcript.pyannote[2478].start 14674.68284375
transcript.pyannote[2478].end 14675.76284375
transcript.pyannote[2479].speaker SPEAKER_31
transcript.pyannote[2479].start 14692.19909375
transcript.pyannote[2479].end 14698.76346875
transcript.pyannote[2480].speaker SPEAKER_68
transcript.pyannote[2480].start 14696.36721875
transcript.pyannote[2480].end 14696.73846875
transcript.pyannote[2481].speaker SPEAKER_68
transcript.pyannote[2481].start 14698.76346875
transcript.pyannote[2481].end 14712.38159375
transcript.pyannote[2482].speaker SPEAKER_31
transcript.pyannote[2482].start 14711.41971875
transcript.pyannote[2482].end 14718.47346875
transcript.pyannote[2483].speaker SPEAKER_68
transcript.pyannote[2483].start 14717.68034375
transcript.pyannote[2483].end 14720.07659375
transcript.pyannote[2484].speaker SPEAKER_31
transcript.pyannote[2484].start 14719.75596875
transcript.pyannote[2484].end 14722.69221875
transcript.pyannote[2485].speaker SPEAKER_68
transcript.pyannote[2485].start 14722.69221875
transcript.pyannote[2485].end 14722.70909375
transcript.pyannote[2486].speaker SPEAKER_68
transcript.pyannote[2486].start 14723.36721875
transcript.pyannote[2486].end 14733.35721875
transcript.pyannote[2487].speaker SPEAKER_31
transcript.pyannote[2487].start 14727.16409375
transcript.pyannote[2487].end 14727.67034375
transcript.pyannote[2488].speaker SPEAKER_31
transcript.pyannote[2488].start 14729.98221875
transcript.pyannote[2488].end 14733.00284375
transcript.pyannote[2489].speaker SPEAKER_31
transcript.pyannote[2489].start 14733.35721875
transcript.pyannote[2489].end 14733.44159375
transcript.pyannote[2490].speaker SPEAKER_31
transcript.pyannote[2490].start 14733.59346875
transcript.pyannote[2490].end 14736.42846875
transcript.pyannote[2491].speaker SPEAKER_31
transcript.pyannote[2491].start 14736.71534375
transcript.pyannote[2491].end 14745.18659375
transcript.pyannote[2492].speaker SPEAKER_68
transcript.pyannote[2492].start 14736.73221875
transcript.pyannote[2492].end 14737.28909375
transcript.pyannote[2493].speaker SPEAKER_68
transcript.pyannote[2493].start 14739.24659375
transcript.pyannote[2493].end 14740.24221875
transcript.pyannote[2494].speaker SPEAKER_68
transcript.pyannote[2494].start 14740.29284375
transcript.pyannote[2494].end 14741.62596875
transcript.pyannote[2495].speaker SPEAKER_68
transcript.pyannote[2495].start 14745.18659375
transcript.pyannote[2495].end 14766.14534375
transcript.pyannote[2496].speaker SPEAKER_31
transcript.pyannote[2496].start 14745.65909375
transcript.pyannote[2496].end 14747.17784375
transcript.pyannote[2497].speaker SPEAKER_31
transcript.pyannote[2497].start 14760.94784375
transcript.pyannote[2497].end 14766.38159375
transcript.pyannote[2498].speaker SPEAKER_31
transcript.pyannote[2498].start 14766.51659375
transcript.pyannote[2498].end 14778.17721875
transcript.pyannote[2499].speaker SPEAKER_66
transcript.pyannote[2499].start 14777.94096875
transcript.pyannote[2499].end 14778.04221875
transcript.pyannote[2500].speaker SPEAKER_66
transcript.pyannote[2500].start 14778.17721875
transcript.pyannote[2500].end 14778.24471875
transcript.pyannote[2501].speaker SPEAKER_31
transcript.pyannote[2501].start 14778.24471875
transcript.pyannote[2501].end 14783.50971875
transcript.pyannote[2502].speaker SPEAKER_31
transcript.pyannote[2502].start 14783.86409375
transcript.pyannote[2502].end 14785.65284375
transcript.pyannote[2503].speaker SPEAKER_25
transcript.pyannote[2503].start 14785.65284375
transcript.pyannote[2503].end 14801.29596875
transcript.pyannote[2504].speaker SPEAKER_31
transcript.pyannote[2504].start 14799.55784375
transcript.pyannote[2504].end 14806.74659375
transcript.pyannote[2505].speaker SPEAKER_25
transcript.pyannote[2505].start 14804.38409375
transcript.pyannote[2505].end 14804.94096875
transcript.pyannote[2506].speaker SPEAKER_25
transcript.pyannote[2506].start 14806.40909375
transcript.pyannote[2506].end 14813.51346875
transcript.pyannote[2507].speaker SPEAKER_31
transcript.pyannote[2507].start 14812.61909375
transcript.pyannote[2507].end 14816.23034375
transcript.pyannote[2508].speaker SPEAKER_25
transcript.pyannote[2508].start 14814.27284375
transcript.pyannote[2508].end 14822.59221875
transcript.pyannote[2509].speaker SPEAKER_31
transcript.pyannote[2509].start 14821.76534375
transcript.pyannote[2509].end 14828.88659375
transcript.pyannote[2510].speaker SPEAKER_25
transcript.pyannote[2510].start 14828.14409375
transcript.pyannote[2510].end 14845.18784375
transcript.pyannote[2511].speaker SPEAKER_31
transcript.pyannote[2511].start 14831.82284375
transcript.pyannote[2511].end 14832.05909375
transcript.pyannote[2512].speaker SPEAKER_31
transcript.pyannote[2512].start 14844.37784375
transcript.pyannote[2512].end 14847.28034375
transcript.pyannote[2513].speaker SPEAKER_25
transcript.pyannote[2513].start 14847.46596875
transcript.pyannote[2513].end 14849.55846875
transcript.pyannote[2514].speaker SPEAKER_31
transcript.pyannote[2514].start 14849.11971875
transcript.pyannote[2514].end 14850.30096875
transcript.pyannote[2515].speaker SPEAKER_25
transcript.pyannote[2515].start 14850.30096875
transcript.pyannote[2515].end 14852.00534375
transcript.pyannote[2516].speaker SPEAKER_31
transcript.pyannote[2516].start 14852.78159375
transcript.pyannote[2516].end 14855.53221875
transcript.pyannote[2517].speaker SPEAKER_25
transcript.pyannote[2517].start 14855.53221875
transcript.pyannote[2517].end 14863.83471875
transcript.pyannote[2518].speaker SPEAKER_31
transcript.pyannote[2518].start 14863.42971875
transcript.pyannote[2518].end 14866.19721875
transcript.pyannote[2519].speaker SPEAKER_25
transcript.pyannote[2519].start 14866.19721875
transcript.pyannote[2519].end 14866.36596875
transcript.pyannote[2520].speaker SPEAKER_31
transcript.pyannote[2520].start 14866.36596875
transcript.pyannote[2520].end 14866.56846875
transcript.pyannote[2521].speaker SPEAKER_25
transcript.pyannote[2521].start 14866.56846875
transcript.pyannote[2521].end 14868.05346875
transcript.pyannote[2522].speaker SPEAKER_31
transcript.pyannote[2522].start 14868.05346875
transcript.pyannote[2522].end 14870.60159375
transcript.pyannote[2523].speaker SPEAKER_25
transcript.pyannote[2523].start 14870.92221875
transcript.pyannote[2523].end 14877.79034375
transcript.pyannote[2524].speaker SPEAKER_25
transcript.pyannote[2524].start 14878.06034375
transcript.pyannote[2524].end 14881.89096875
transcript.pyannote[2525].speaker SPEAKER_31
transcript.pyannote[2525].start 14880.25409375
transcript.pyannote[2525].end 14880.64221875
transcript.pyannote[2526].speaker SPEAKER_31
transcript.pyannote[2526].start 14881.97534375
transcript.pyannote[2526].end 14885.16471875
transcript.pyannote[2527].speaker SPEAKER_25
transcript.pyannote[2527].start 14883.29159375
transcript.pyannote[2527].end 14883.51096875
transcript.pyannote[2528].speaker SPEAKER_25
transcript.pyannote[2528].start 14884.97909375
transcript.pyannote[2528].end 14885.29971875
transcript.pyannote[2529].speaker SPEAKER_31
transcript.pyannote[2529].start 14885.29971875
transcript.pyannote[2529].end 14885.33346875
transcript.pyannote[2530].speaker SPEAKER_31
transcript.pyannote[2530].start 14885.38409375
transcript.pyannote[2530].end 14896.03221875
transcript.pyannote[2531].speaker SPEAKER_68
transcript.pyannote[2531].start 14896.03221875
transcript.pyannote[2531].end 14934.67596875
transcript.pyannote[2532].speaker SPEAKER_31
transcript.pyannote[2532].start 14900.89221875
transcript.pyannote[2532].end 14901.55034375
transcript.pyannote[2533].speaker SPEAKER_31
transcript.pyannote[2533].start 14905.88721875
transcript.pyannote[2533].end 14907.70971875
transcript.pyannote[2534].speaker SPEAKER_68
transcript.pyannote[2534].start 14934.92909375
transcript.pyannote[2534].end 14938.69221875
transcript.pyannote[2535].speaker SPEAKER_31
transcript.pyannote[2535].start 14938.69221875
transcript.pyannote[2535].end 14945.02034375
transcript.pyannote[2536].speaker SPEAKER_68
transcript.pyannote[2536].start 14938.70909375
transcript.pyannote[2536].end 14938.79346875
transcript.pyannote[2537].speaker SPEAKER_25
transcript.pyannote[2537].start 14943.14721875
transcript.pyannote[2537].end 14944.21034375
transcript.pyannote[2538].speaker SPEAKER_25
transcript.pyannote[2538].start 14944.80096875
transcript.pyannote[2538].end 14960.41034375
transcript.pyannote[2539].speaker SPEAKER_31
transcript.pyannote[2539].start 14959.92096875
transcript.pyannote[2539].end 14965.55721875
transcript.pyannote[2540].speaker SPEAKER_25
transcript.pyannote[2540].start 14962.87409375
transcript.pyannote[2540].end 14963.22846875
transcript.pyannote[2541].speaker SPEAKER_25
transcript.pyannote[2541].start 14963.49846875
transcript.pyannote[2541].end 14965.52346875
transcript.pyannote[2542].speaker SPEAKER_25
transcript.pyannote[2542].start 14965.55721875
transcript.pyannote[2542].end 14966.55284375
transcript.pyannote[2543].speaker SPEAKER_31
transcript.pyannote[2543].start 14966.55284375
transcript.pyannote[2543].end 14966.60346875
transcript.pyannote[2544].speaker SPEAKER_25
transcript.pyannote[2544].start 14966.58659375
transcript.pyannote[2544].end 14967.43034375
transcript.pyannote[2545].speaker SPEAKER_55
transcript.pyannote[2545].start 14966.60346875
transcript.pyannote[2545].end 14972.34096875
transcript.pyannote[2546].speaker SPEAKER_31
transcript.pyannote[2546].start 14967.43034375
transcript.pyannote[2546].end 14967.44721875
transcript.pyannote[2547].speaker SPEAKER_25
transcript.pyannote[2547].start 14967.44721875
transcript.pyannote[2547].end 14967.46409375
transcript.pyannote[2548].speaker SPEAKER_25
transcript.pyannote[2548].start 14968.88159375
transcript.pyannote[2548].end 14973.87659375
transcript.pyannote[2549].speaker SPEAKER_55
transcript.pyannote[2549].start 14973.01596875
transcript.pyannote[2549].end 14977.67346875
transcript.pyannote[2550].speaker SPEAKER_55
transcript.pyannote[2550].start 14979.37784375
transcript.pyannote[2550].end 14980.18784375
transcript.pyannote[2551].speaker SPEAKER_55
transcript.pyannote[2551].start 14983.83284375
transcript.pyannote[2551].end 14994.43034375
transcript.pyannote[2552].speaker SPEAKER_56
transcript.pyannote[2552].start 14998.64909375
transcript.pyannote[2552].end 15002.37846875
transcript.pyannote[2553].speaker SPEAKER_03
transcript.pyannote[2553].start 15001.92284375
transcript.pyannote[2553].end 15001.95659375
transcript.pyannote[2554].speaker SPEAKER_57
transcript.pyannote[2554].start 15001.95659375
transcript.pyannote[2554].end 15002.36159375
transcript.pyannote[2555].speaker SPEAKER_57
transcript.pyannote[2555].start 15002.66534375
transcript.pyannote[2555].end 15002.69909375
transcript.pyannote[2556].speaker SPEAKER_56
transcript.pyannote[2556].start 15002.69909375
transcript.pyannote[2556].end 15133.63221875
transcript.pyannote[2557].speaker SPEAKER_57
transcript.pyannote[2557].start 15002.73284375
transcript.pyannote[2557].end 15004.80846875
transcript.pyannote[2558].speaker SPEAKER_58
transcript.pyannote[2558].start 15004.80846875
transcript.pyannote[2558].end 15004.90971875
transcript.pyannote[2559].speaker SPEAKER_03
transcript.pyannote[2559].start 15004.90971875
transcript.pyannote[2559].end 15005.06159375
transcript.pyannote[2560].speaker SPEAKER_26
transcript.pyannote[2560].start 15005.06159375
transcript.pyannote[2560].end 15005.16284375
transcript.pyannote[2561].speaker SPEAKER_03
transcript.pyannote[2561].start 15005.16284375
transcript.pyannote[2561].end 15005.38221875
transcript.pyannote[2562].speaker SPEAKER_58
transcript.pyannote[2562].start 15005.38221875
transcript.pyannote[2562].end 15005.66909375
transcript.pyannote[2563].speaker SPEAKER_26
transcript.pyannote[2563].start 15005.66909375
transcript.pyannote[2563].end 15005.73659375
transcript.pyannote[2564].speaker SPEAKER_03
transcript.pyannote[2564].start 15008.57159375
transcript.pyannote[2564].end 15008.63909375
transcript.pyannote[2565].speaker SPEAKER_66
transcript.pyannote[2565].start 15008.63909375
transcript.pyannote[2565].end 15008.89221875
transcript.pyannote[2566].speaker SPEAKER_55
transcript.pyannote[2566].start 15134.03721875
transcript.pyannote[2566].end 15135.91034375
transcript.pyannote[2567].speaker SPEAKER_55
transcript.pyannote[2567].start 15135.92721875
transcript.pyannote[2567].end 15137.20971875
transcript.pyannote[2568].speaker SPEAKER_55
transcript.pyannote[2568].start 15138.54284375
transcript.pyannote[2568].end 15140.41596875
transcript.pyannote[2569].speaker SPEAKER_55
transcript.pyannote[2569].start 15140.87159375
transcript.pyannote[2569].end 15143.95971875
transcript.pyannote[2570].speaker SPEAKER_22
transcript.pyannote[2570].start 15153.47721875
transcript.pyannote[2570].end 15156.58221875
transcript.pyannote[2571].speaker SPEAKER_22
transcript.pyannote[2571].start 15156.78471875
transcript.pyannote[2571].end 15157.29096875
transcript.pyannote[2572].speaker SPEAKER_59
transcript.pyannote[2572].start 15157.29096875
transcript.pyannote[2572].end 15157.57784375
transcript.pyannote[2573].speaker SPEAKER_22
transcript.pyannote[2573].start 15157.57784375
transcript.pyannote[2573].end 15157.81409375
transcript.pyannote[2574].speaker SPEAKER_22
transcript.pyannote[2574].start 15161.96534375
transcript.pyannote[2574].end 15165.76221875
transcript.pyannote[2575].speaker SPEAKER_08
transcript.pyannote[2575].start 15162.55596875
transcript.pyannote[2575].end 15162.65721875
transcript.pyannote[2576].speaker SPEAKER_59
transcript.pyannote[2576].start 15162.65721875
transcript.pyannote[2576].end 15163.02846875
transcript.pyannote[2577].speaker SPEAKER_08
transcript.pyannote[2577].start 15163.02846875
transcript.pyannote[2577].end 15163.70346875
transcript.pyannote[2578].speaker SPEAKER_22
transcript.pyannote[2578].start 15165.99846875
transcript.pyannote[2578].end 15170.36909375
transcript.pyannote[2579].speaker SPEAKER_08
transcript.pyannote[2579].start 15168.44534375
transcript.pyannote[2579].end 15168.63096875
transcript.pyannote[2580].speaker SPEAKER_08
transcript.pyannote[2580].start 15170.36909375
transcript.pyannote[2580].end 15170.77409375
transcript.pyannote[2581].speaker SPEAKER_22
transcript.pyannote[2581].start 15170.85846875
transcript.pyannote[2581].end 15178.35096875
transcript.pyannote[2582].speaker SPEAKER_08
transcript.pyannote[2582].start 15176.95034375
transcript.pyannote[2582].end 15180.25784375
transcript.pyannote[2583].speaker SPEAKER_22
transcript.pyannote[2583].start 15180.25784375
transcript.pyannote[2583].end 15180.61221875
transcript.pyannote[2584].speaker SPEAKER_08
transcript.pyannote[2584].start 15180.61221875
transcript.pyannote[2584].end 15180.91596875
transcript.pyannote[2585].speaker SPEAKER_22
transcript.pyannote[2585].start 15180.91596875
transcript.pyannote[2585].end 15184.94909375
transcript.pyannote[2586].speaker SPEAKER_08
transcript.pyannote[2586].start 15180.93284375
transcript.pyannote[2586].end 15181.67534375
transcript.pyannote[2587].speaker SPEAKER_08
transcript.pyannote[2587].start 15183.05909375
transcript.pyannote[2587].end 15183.95346875
transcript.pyannote[2588].speaker SPEAKER_22
transcript.pyannote[2588].start 15185.48909375
transcript.pyannote[2588].end 15186.14721875
transcript.pyannote[2589].speaker SPEAKER_22
transcript.pyannote[2589].start 15186.48471875
transcript.pyannote[2589].end 15189.48846875
transcript.pyannote[2590].speaker SPEAKER_22
transcript.pyannote[2590].start 15189.97784375
transcript.pyannote[2590].end 15191.96909375
transcript.pyannote[2591].speaker SPEAKER_22
transcript.pyannote[2591].start 15192.84659375
transcript.pyannote[2591].end 15196.45784375
transcript.pyannote[2592].speaker SPEAKER_22
transcript.pyannote[2592].start 15197.30159375
transcript.pyannote[2592].end 15198.39846875
transcript.pyannote[2593].speaker SPEAKER_22
transcript.pyannote[2593].start 15198.55034375
transcript.pyannote[2593].end 15199.57971875
transcript.pyannote[2594].speaker SPEAKER_22
transcript.pyannote[2594].start 15200.50784375
transcript.pyannote[2594].end 15206.53221875
transcript.pyannote[2595].speaker SPEAKER_08
transcript.pyannote[2595].start 15203.79846875
transcript.pyannote[2595].end 15204.72659375
transcript.pyannote[2596].speaker SPEAKER_22
transcript.pyannote[2596].start 15207.25784375
transcript.pyannote[2596].end 15208.28721875
transcript.pyannote[2597].speaker SPEAKER_22
transcript.pyannote[2597].start 15208.74284375
transcript.pyannote[2597].end 15210.98721875
transcript.pyannote[2598].speaker SPEAKER_22
transcript.pyannote[2598].start 15211.35846875
transcript.pyannote[2598].end 15213.11346875
transcript.pyannote[2599].speaker SPEAKER_08
transcript.pyannote[2599].start 15211.44284375
transcript.pyannote[2599].end 15217.26471875
transcript.pyannote[2600].speaker SPEAKER_22
transcript.pyannote[2600].start 15215.71221875
transcript.pyannote[2600].end 15221.33159375
transcript.pyannote[2601].speaker SPEAKER_22
transcript.pyannote[2601].start 15222.47909375
transcript.pyannote[2601].end 15223.91346875
transcript.pyannote[2602].speaker SPEAKER_08
transcript.pyannote[2602].start 15223.91346875
transcript.pyannote[2602].end 15224.03159375
transcript.pyannote[2603].speaker SPEAKER_22
transcript.pyannote[2603].start 15224.03159375
transcript.pyannote[2603].end 15224.13284375
transcript.pyannote[2604].speaker SPEAKER_08
transcript.pyannote[2604].start 15224.13284375
transcript.pyannote[2604].end 15224.31846875
transcript.pyannote[2605].speaker SPEAKER_22
transcript.pyannote[2605].start 15224.31846875
transcript.pyannote[2605].end 15224.84159375
transcript.pyannote[2606].speaker SPEAKER_08
transcript.pyannote[2606].start 15224.84159375
transcript.pyannote[2606].end 15225.43221875
transcript.pyannote[2607].speaker SPEAKER_22
transcript.pyannote[2607].start 15225.43221875
transcript.pyannote[2607].end 15228.75659375
transcript.pyannote[2608].speaker SPEAKER_08
transcript.pyannote[2608].start 15225.53346875
transcript.pyannote[2608].end 15226.46159375
transcript.pyannote[2609].speaker SPEAKER_22
transcript.pyannote[2609].start 15228.85784375
transcript.pyannote[2609].end 15229.21221875
transcript.pyannote[2610].speaker SPEAKER_22
transcript.pyannote[2610].start 15229.75221875
transcript.pyannote[2610].end 15237.05909375
transcript.pyannote[2611].speaker SPEAKER_08
transcript.pyannote[2611].start 15237.61596875
transcript.pyannote[2611].end 15237.91971875
transcript.pyannote[2612].speaker SPEAKER_22
transcript.pyannote[2612].start 15237.91971875
transcript.pyannote[2612].end 15239.74221875
transcript.pyannote[2613].speaker SPEAKER_08
transcript.pyannote[2613].start 15238.12221875
transcript.pyannote[2613].end 15243.15096875
transcript.pyannote[2614].speaker SPEAKER_22
transcript.pyannote[2614].start 15242.05409375
transcript.pyannote[2614].end 15244.85534375
transcript.pyannote[2615].speaker SPEAKER_22
transcript.pyannote[2615].start 15245.54721875
transcript.pyannote[2615].end 15255.30096875
transcript.pyannote[2616].speaker SPEAKER_08
transcript.pyannote[2616].start 15245.83409375
transcript.pyannote[2616].end 15245.96909375
transcript.pyannote[2617].speaker SPEAKER_22
transcript.pyannote[2617].start 15255.43596875
transcript.pyannote[2617].end 15256.21221875
transcript.pyannote[2618].speaker SPEAKER_22
transcript.pyannote[2618].start 15256.92096875
transcript.pyannote[2618].end 15258.81096875
transcript.pyannote[2619].speaker SPEAKER_22
transcript.pyannote[2619].start 15259.35096875
transcript.pyannote[2619].end 15260.41409375
transcript.pyannote[2620].speaker SPEAKER_22
transcript.pyannote[2620].start 15261.10596875
transcript.pyannote[2620].end 15265.24034375
transcript.pyannote[2621].speaker SPEAKER_22
transcript.pyannote[2621].start 15266.23596875
transcript.pyannote[2621].end 15268.07534375
transcript.pyannote[2622].speaker SPEAKER_22
transcript.pyannote[2622].start 15269.00346875
transcript.pyannote[2622].end 15269.57721875
transcript.pyannote[2623].speaker SPEAKER_22
transcript.pyannote[2623].start 15270.11721875
transcript.pyannote[2623].end 15270.85971875
transcript.pyannote[2624].speaker SPEAKER_22
transcript.pyannote[2624].start 15271.33221875
transcript.pyannote[2624].end 15272.00721875
transcript.pyannote[2625].speaker SPEAKER_22
transcript.pyannote[2625].start 15273.10409375
transcript.pyannote[2625].end 15273.88034375
transcript.pyannote[2626].speaker SPEAKER_22
transcript.pyannote[2626].start 15274.18409375
transcript.pyannote[2626].end 15275.71971875
transcript.pyannote[2627].speaker SPEAKER_22
transcript.pyannote[2627].start 15275.85471875
transcript.pyannote[2627].end 15277.57596875
transcript.pyannote[2628].speaker SPEAKER_58
transcript.pyannote[2628].start 15276.56346875
transcript.pyannote[2628].end 15277.76159375
transcript.pyannote[2629].speaker SPEAKER_22
transcript.pyannote[2629].start 15278.33534375
transcript.pyannote[2629].end 15278.45346875
transcript.pyannote[2630].speaker SPEAKER_22
transcript.pyannote[2630].start 15279.04409375
transcript.pyannote[2630].end 15282.03096875
transcript.pyannote[2631].speaker SPEAKER_22
transcript.pyannote[2631].start 15282.46971875
transcript.pyannote[2631].end 15284.96721875
transcript.pyannote[2632].speaker SPEAKER_58
transcript.pyannote[2632].start 15284.24159375
transcript.pyannote[2632].end 15285.77721875
transcript.pyannote[2633].speaker SPEAKER_58
transcript.pyannote[2633].start 15286.38471875
transcript.pyannote[2633].end 15288.66284375
transcript.pyannote[2634].speaker SPEAKER_22
transcript.pyannote[2634].start 15287.58284375
transcript.pyannote[2634].end 15289.23659375
transcript.pyannote[2635].speaker SPEAKER_22
transcript.pyannote[2635].start 15291.37971875
transcript.pyannote[2635].end 15291.98721875
transcript.pyannote[2636].speaker SPEAKER_22
transcript.pyannote[2636].start 15292.86471875
transcript.pyannote[2636].end 15297.65721875
transcript.pyannote[2637].speaker SPEAKER_22
transcript.pyannote[2637].start 15298.45034375
transcript.pyannote[2637].end 15299.15909375
transcript.pyannote[2638].speaker SPEAKER_22
transcript.pyannote[2638].start 15299.20971875
transcript.pyannote[2638].end 15302.06159375
transcript.pyannote[2639].speaker SPEAKER_22
transcript.pyannote[2639].start 15302.36534375
transcript.pyannote[2639].end 15303.42846875
transcript.pyannote[2640].speaker SPEAKER_22
transcript.pyannote[2640].start 15304.25534375
transcript.pyannote[2640].end 15305.89221875
transcript.pyannote[2641].speaker SPEAKER_22
transcript.pyannote[2641].start 15307.07346875
transcript.pyannote[2641].end 15309.09846875
transcript.pyannote[2642].speaker SPEAKER_22
transcript.pyannote[2642].start 15310.38096875
transcript.pyannote[2642].end 15311.47784375
transcript.pyannote[2643].speaker SPEAKER_22
transcript.pyannote[2643].start 15312.25409375
transcript.pyannote[2643].end 15315.69659375
transcript.pyannote[2644].speaker SPEAKER_22
transcript.pyannote[2644].start 15317.08034375
transcript.pyannote[2644].end 15319.59471875
transcript.pyannote[2645].speaker SPEAKER_22
transcript.pyannote[2645].start 15320.53971875
transcript.pyannote[2645].end 15327.07034375
transcript.pyannote[2646].speaker SPEAKER_22
transcript.pyannote[2646].start 15327.86346875
transcript.pyannote[2646].end 15328.97721875
transcript.pyannote[2647].speaker SPEAKER_22
transcript.pyannote[2647].start 15330.51284375
transcript.pyannote[2647].end 15338.57909375
transcript.pyannote[2648].speaker SPEAKER_22
transcript.pyannote[2648].start 15338.76471875
transcript.pyannote[2648].end 15341.54909375
transcript.pyannote[2649].speaker SPEAKER_22
transcript.pyannote[2649].start 15341.83596875
transcript.pyannote[2649].end 15344.21534375
transcript.pyannote[2650].speaker SPEAKER_22
transcript.pyannote[2650].start 15345.31221875
transcript.pyannote[2650].end 15348.43409375
transcript.pyannote[2651].speaker SPEAKER_22
transcript.pyannote[2651].start 15349.07534375
transcript.pyannote[2651].end 15350.32409375
transcript.pyannote[2652].speaker SPEAKER_22
transcript.pyannote[2652].start 15351.21846875
transcript.pyannote[2652].end 15355.53846875
transcript.pyannote[2653].speaker SPEAKER_22
transcript.pyannote[2653].start 15356.56784375
transcript.pyannote[2653].end 15359.65596875
transcript.pyannote[2654].speaker SPEAKER_22
transcript.pyannote[2654].start 15360.66846875
transcript.pyannote[2654].end 15364.26284375
transcript.pyannote[2655].speaker SPEAKER_22
transcript.pyannote[2655].start 15365.02221875
transcript.pyannote[2655].end 15366.81096875
transcript.pyannote[2656].speaker SPEAKER_22
transcript.pyannote[2656].start 15366.89534375
transcript.pyannote[2656].end 15367.94159375
transcript.pyannote[2657].speaker SPEAKER_22
transcript.pyannote[2657].start 15368.78534375
transcript.pyannote[2657].end 15371.24909375
transcript.pyannote[2658].speaker SPEAKER_22
transcript.pyannote[2658].start 15372.80159375
transcript.pyannote[2658].end 15382.09971875
transcript.pyannote[2659].speaker SPEAKER_22
transcript.pyannote[2659].start 15382.74096875
transcript.pyannote[2659].end 15386.97659375
transcript.pyannote[2660].speaker SPEAKER_22
transcript.pyannote[2660].start 15387.61784375
transcript.pyannote[2660].end 15390.36846875
transcript.pyannote[2661].speaker SPEAKER_22
transcript.pyannote[2661].start 15391.09409375
transcript.pyannote[2661].end 15391.97159375
transcript.pyannote[2662].speaker SPEAKER_22
transcript.pyannote[2662].start 15392.68034375
transcript.pyannote[2662].end 15395.02596875
transcript.pyannote[2663].speaker SPEAKER_22
transcript.pyannote[2663].start 15395.17784375
transcript.pyannote[2663].end 15396.44346875
transcript.pyannote[2664].speaker SPEAKER_22
transcript.pyannote[2664].start 15396.96659375
transcript.pyannote[2664].end 15399.88596875
transcript.pyannote[2665].speaker SPEAKER_67
transcript.pyannote[2665].start 15400.29096875
transcript.pyannote[2665].end 15402.67034375
transcript.pyannote[2666].speaker SPEAKER_22
transcript.pyannote[2666].start 15402.11346875
transcript.pyannote[2666].end 15402.99096875
transcript.pyannote[2667].speaker SPEAKER_67
transcript.pyannote[2667].start 15403.24409375
transcript.pyannote[2667].end 15403.61534375
transcript.pyannote[2668].speaker SPEAKER_22
transcript.pyannote[2668].start 15403.68284375
transcript.pyannote[2668].end 15404.57721875
transcript.pyannote[2669].speaker SPEAKER_22
transcript.pyannote[2669].start 15405.35346875
transcript.pyannote[2669].end 15408.20534375
transcript.pyannote[2670].speaker SPEAKER_22
transcript.pyannote[2670].start 15408.82971875
transcript.pyannote[2670].end 15410.14596875
transcript.pyannote[2671].speaker SPEAKER_22
transcript.pyannote[2671].start 15410.87159375
transcript.pyannote[2671].end 15412.25534375
transcript.pyannote[2672].speaker SPEAKER_67
transcript.pyannote[2672].start 15412.25534375
transcript.pyannote[2672].end 15412.71096875
transcript.pyannote[2673].speaker SPEAKER_22
transcript.pyannote[2673].start 15412.96409375
transcript.pyannote[2673].end 15414.56721875
transcript.pyannote[2674].speaker SPEAKER_22
transcript.pyannote[2674].start 15415.86659375
transcript.pyannote[2674].end 15416.55846875
transcript.pyannote[2675].speaker SPEAKER_22
transcript.pyannote[2675].start 15417.04784375
transcript.pyannote[2675].end 15419.44409375
transcript.pyannote[2676].speaker SPEAKER_22
transcript.pyannote[2676].start 15420.22034375
transcript.pyannote[2676].end 15424.25346875
transcript.pyannote[2677].speaker SPEAKER_22
transcript.pyannote[2677].start 15424.55721875
transcript.pyannote[2677].end 15427.15596875
transcript.pyannote[2678].speaker SPEAKER_22
transcript.pyannote[2678].start 15428.35409375
transcript.pyannote[2678].end 15431.71221875
transcript.pyannote[2679].speaker SPEAKER_22
transcript.pyannote[2679].start 15432.47159375
transcript.pyannote[2679].end 15433.80471875
transcript.pyannote[2680].speaker SPEAKER_22
transcript.pyannote[2680].start 15434.93534375
transcript.pyannote[2680].end 15438.12471875
transcript.pyannote[2681].speaker SPEAKER_22
transcript.pyannote[2681].start 15439.40721875
transcript.pyannote[2681].end 15442.83284375
transcript.pyannote[2682].speaker SPEAKER_22
transcript.pyannote[2682].start 15444.97596875
transcript.pyannote[2682].end 15445.85346875
transcript.pyannote[2683].speaker SPEAKER_22
transcript.pyannote[2683].start 15446.37659375
transcript.pyannote[2683].end 15449.22846875
transcript.pyannote[2684].speaker SPEAKER_22
transcript.pyannote[2684].start 15451.11846875
transcript.pyannote[2684].end 15453.02534375
transcript.pyannote[2685].speaker SPEAKER_22
transcript.pyannote[2685].start 15454.30784375
transcript.pyannote[2685].end 15455.60721875
transcript.pyannote[2686].speaker SPEAKER_22
transcript.pyannote[2686].start 15456.43409375
transcript.pyannote[2686].end 15458.39159375
transcript.pyannote[2687].speaker SPEAKER_22
transcript.pyannote[2687].start 15460.24784375
transcript.pyannote[2687].end 15463.15034375
transcript.pyannote[2688].speaker SPEAKER_22
transcript.pyannote[2688].start 15464.12909375
transcript.pyannote[2688].end 15466.98096875
transcript.pyannote[2689].speaker SPEAKER_66
transcript.pyannote[2689].start 15466.13721875
transcript.pyannote[2689].end 15466.15409375
transcript.pyannote[2690].speaker SPEAKER_67
transcript.pyannote[2690].start 15466.15409375
transcript.pyannote[2690].end 15466.84596875
transcript.pyannote[2691].speaker SPEAKER_22
transcript.pyannote[2691].start 15467.50409375
transcript.pyannote[2691].end 15467.68971875
transcript.pyannote[2692].speaker SPEAKER_66
transcript.pyannote[2692].start 15467.68971875
transcript.pyannote[2692].end 15467.70659375
transcript.pyannote[2693].speaker SPEAKER_22
transcript.pyannote[2693].start 15468.02721875
transcript.pyannote[2693].end 15468.70221875
transcript.pyannote[2694].speaker SPEAKER_22
transcript.pyannote[2694].start 15469.24221875
transcript.pyannote[2694].end 15470.94659375
transcript.pyannote[2695].speaker SPEAKER_22
transcript.pyannote[2695].start 15471.77346875
transcript.pyannote[2695].end 15473.00534375
transcript.pyannote[2696].speaker SPEAKER_22
transcript.pyannote[2696].start 15473.61284375
transcript.pyannote[2696].end 15474.57471875
transcript.pyannote[2697].speaker SPEAKER_22
transcript.pyannote[2697].start 15475.19909375
transcript.pyannote[2697].end 15476.31284375
transcript.pyannote[2698].speaker SPEAKER_22
transcript.pyannote[2698].start 15477.40971875
transcript.pyannote[2698].end 15479.95784375
transcript.pyannote[2699].speaker SPEAKER_22
transcript.pyannote[2699].start 15480.54846875
transcript.pyannote[2699].end 15482.01659375
transcript.pyannote[2700].speaker SPEAKER_22
transcript.pyannote[2700].start 15483.56909375
transcript.pyannote[2700].end 15484.59846875
transcript.pyannote[2701].speaker SPEAKER_22
transcript.pyannote[2701].start 15484.68284375
transcript.pyannote[2701].end 15485.88096875
transcript.pyannote[2702].speaker SPEAKER_22
transcript.pyannote[2702].start 15486.87659375
transcript.pyannote[2702].end 15487.48409375
transcript.pyannote[2703].speaker SPEAKER_22
transcript.pyannote[2703].start 15487.97346875
transcript.pyannote[2703].end 15489.03659375
transcript.pyannote[2704].speaker SPEAKER_21
transcript.pyannote[2704].start 15488.04096875
transcript.pyannote[2704].end 15488.05784375
transcript.pyannote[2705].speaker SPEAKER_22
transcript.pyannote[2705].start 15489.18846875
transcript.pyannote[2705].end 15490.30221875
transcript.pyannote[2706].speaker SPEAKER_22
transcript.pyannote[2706].start 15490.52159375
transcript.pyannote[2706].end 15491.70284375
transcript.pyannote[2707].speaker SPEAKER_22
transcript.pyannote[2707].start 15492.91784375
transcript.pyannote[2707].end 15493.98096875
transcript.pyannote[2708].speaker SPEAKER_21
transcript.pyannote[2708].start 15494.21721875
transcript.pyannote[2708].end 15494.25096875
transcript.pyannote[2709].speaker SPEAKER_22
transcript.pyannote[2709].start 15494.25096875
transcript.pyannote[2709].end 15494.55471875
transcript.pyannote[2710].speaker SPEAKER_22
transcript.pyannote[2710].start 15496.14096875
transcript.pyannote[2710].end 15496.98471875
transcript.pyannote[2711].speaker SPEAKER_22
transcript.pyannote[2711].start 15497.54159375
transcript.pyannote[2711].end 15498.26721875
transcript.pyannote[2712].speaker SPEAKER_22
transcript.pyannote[2712].start 15499.60034375
transcript.pyannote[2712].end 15501.70971875
transcript.pyannote[2713].speaker SPEAKER_22
transcript.pyannote[2713].start 15502.55346875
transcript.pyannote[2713].end 15504.46034375
transcript.pyannote[2714].speaker SPEAKER_22
transcript.pyannote[2714].start 15505.06784375
transcript.pyannote[2714].end 15508.78034375
transcript.pyannote[2715].speaker SPEAKER_22
transcript.pyannote[2715].start 15509.26971875
transcript.pyannote[2715].end 15513.31971875
transcript.pyannote[2716].speaker SPEAKER_22
transcript.pyannote[2716].start 15513.85971875
transcript.pyannote[2716].end 15514.56846875
transcript.pyannote[2717].speaker SPEAKER_22
transcript.pyannote[2717].start 15515.29409375
transcript.pyannote[2717].end 15517.45409375
transcript.pyannote[2718].speaker SPEAKER_22
transcript.pyannote[2718].start 15519.27659375
transcript.pyannote[2718].end 15522.68534375
transcript.pyannote[2719].speaker SPEAKER_22
transcript.pyannote[2719].start 15523.52909375
transcript.pyannote[2719].end 15527.71409375
transcript.pyannote[2720].speaker SPEAKER_22
transcript.pyannote[2720].start 15529.18221875
transcript.pyannote[2720].end 15531.46034375
transcript.pyannote[2721].speaker SPEAKER_22
transcript.pyannote[2721].start 15531.94971875
transcript.pyannote[2721].end 15534.14346875
transcript.pyannote[2722].speaker SPEAKER_22
transcript.pyannote[2722].start 15535.24034375
transcript.pyannote[2722].end 15537.58596875
transcript.pyannote[2723].speaker SPEAKER_22
transcript.pyannote[2723].start 15538.29471875
transcript.pyannote[2723].end 15541.38284375
transcript.pyannote[2724].speaker SPEAKER_22
transcript.pyannote[2724].start 15542.90159375
transcript.pyannote[2724].end 15548.90909375
transcript.pyannote[2725].speaker SPEAKER_22
transcript.pyannote[2725].start 15549.78659375
transcript.pyannote[2725].end 15551.79471875
transcript.pyannote[2726].speaker SPEAKER_22
transcript.pyannote[2726].start 15553.75221875
transcript.pyannote[2726].end 15554.54534375
transcript.pyannote[2727].speaker SPEAKER_63
transcript.pyannote[2727].start 15555.30471875
transcript.pyannote[2727].end 15568.33221875
transcript.pyannote[2728].speaker SPEAKER_22
transcript.pyannote[2728].start 15567.38721875
transcript.pyannote[2728].end 15572.44971875
transcript.pyannote[2729].speaker SPEAKER_22
transcript.pyannote[2729].start 15572.60159375
transcript.pyannote[2729].end 15582.05159375
transcript.pyannote[2730].speaker SPEAKER_63
transcript.pyannote[2730].start 15573.29346875
transcript.pyannote[2730].end 15573.32721875
transcript.pyannote[2731].speaker SPEAKER_66
transcript.pyannote[2731].start 15573.32721875
transcript.pyannote[2731].end 15573.66471875
transcript.pyannote[2732].speaker SPEAKER_63
transcript.pyannote[2732].start 15573.66471875
transcript.pyannote[2732].end 15573.81659375
transcript.pyannote[2733].speaker SPEAKER_22
transcript.pyannote[2733].start 15582.16971875
transcript.pyannote[2733].end 15582.96284375
transcript.pyannote[2734].speaker SPEAKER_63
transcript.pyannote[2734].start 15582.96284375
transcript.pyannote[2734].end 15585.51096875
transcript.pyannote[2735].speaker SPEAKER_22
transcript.pyannote[2735].start 15584.88659375
transcript.pyannote[2735].end 15587.33346875
transcript.pyannote[2736].speaker SPEAKER_63
transcript.pyannote[2736].start 15586.03409375
transcript.pyannote[2736].end 15592.98659375
transcript.pyannote[2737].speaker SPEAKER_22
transcript.pyannote[2737].start 15591.63659375
transcript.pyannote[2737].end 15593.00346875
transcript.pyannote[2738].speaker SPEAKER_63
transcript.pyannote[2738].start 15593.00346875
transcript.pyannote[2738].end 15593.08784375
transcript.pyannote[2739].speaker SPEAKER_22
transcript.pyannote[2739].start 15593.08784375
transcript.pyannote[2739].end 15594.94409375
transcript.pyannote[2740].speaker SPEAKER_22
transcript.pyannote[2740].start 15595.77096875
transcript.pyannote[2740].end 15597.00284375
transcript.pyannote[2741].speaker SPEAKER_22
transcript.pyannote[2741].start 15598.60596875
transcript.pyannote[2741].end 15601.25534375
transcript.pyannote[2742].speaker SPEAKER_58
transcript.pyannote[2742].start 15601.25534375
transcript.pyannote[2742].end 15601.52534375
transcript.pyannote[2743].speaker SPEAKER_22
transcript.pyannote[2743].start 15601.52534375
transcript.pyannote[2743].end 15604.19159375
transcript.pyannote[2744].speaker SPEAKER_58
transcript.pyannote[2744].start 15601.54221875
transcript.pyannote[2744].end 15601.59284375
transcript.pyannote[2745].speaker SPEAKER_22
transcript.pyannote[2745].start 15604.93409375
transcript.pyannote[2745].end 15607.11096875
transcript.pyannote[2746].speaker SPEAKER_55
transcript.pyannote[2746].start 15604.95096875
transcript.pyannote[2746].end 15605.71034375
transcript.pyannote[2747].speaker SPEAKER_55
transcript.pyannote[2747].start 15606.28409375
transcript.pyannote[2747].end 15606.77346875
transcript.pyannote[2748].speaker SPEAKER_55
transcript.pyannote[2748].start 15607.11096875
transcript.pyannote[2748].end 15610.04721875
transcript.pyannote[2749].speaker SPEAKER_22
transcript.pyannote[2749].start 15609.81096875
transcript.pyannote[2749].end 15613.28721875
transcript.pyannote[2750].speaker SPEAKER_58
transcript.pyannote[2750].start 15613.84409375
transcript.pyannote[2750].end 15614.16471875
transcript.pyannote[2751].speaker SPEAKER_22
transcript.pyannote[2751].start 15614.53596875
transcript.pyannote[2751].end 15616.89846875
transcript.pyannote[2752].speaker SPEAKER_55
transcript.pyannote[2752].start 15615.44721875
transcript.pyannote[2752].end 15620.98221875
transcript.pyannote[2753].speaker SPEAKER_22
transcript.pyannote[2753].start 15618.26534375
transcript.pyannote[2753].end 15623.47971875
transcript.pyannote[2754].speaker SPEAKER_55
transcript.pyannote[2754].start 15623.47971875
transcript.pyannote[2754].end 15626.78721875
transcript.pyannote[2755].speaker SPEAKER_22
transcript.pyannote[2755].start 15626.78721875
transcript.pyannote[2755].end 15628.33971875
transcript.pyannote[2756].speaker SPEAKER_55
transcript.pyannote[2756].start 15627.63096875
transcript.pyannote[2756].end 15628.45784375
transcript.pyannote[2757].speaker SPEAKER_55
transcript.pyannote[2757].start 15628.69409375
transcript.pyannote[2757].end 15628.81221875
transcript.pyannote[2758].speaker SPEAKER_22
transcript.pyannote[2758].start 15628.81221875
transcript.pyannote[2758].end 15628.87971875
transcript.pyannote[2759].speaker SPEAKER_55
transcript.pyannote[2759].start 15628.87971875
transcript.pyannote[2759].end 15630.51659375
transcript.pyannote[2760].speaker SPEAKER_55
transcript.pyannote[2760].start 15630.63471875
transcript.pyannote[2760].end 15632.54159375
transcript.pyannote[2761].speaker SPEAKER_22
transcript.pyannote[2761].start 15630.97221875
transcript.pyannote[2761].end 15631.02284375
transcript.pyannote[2762].speaker SPEAKER_63
transcript.pyannote[2762].start 15631.02284375
transcript.pyannote[2762].end 15632.47409375
transcript.pyannote[2763].speaker SPEAKER_22
transcript.pyannote[2763].start 15632.47409375
transcript.pyannote[2763].end 15632.49096875
transcript.pyannote[2764].speaker SPEAKER_63
transcript.pyannote[2764].start 15632.94659375
transcript.pyannote[2764].end 15632.96346875
transcript.pyannote[2765].speaker SPEAKER_63
transcript.pyannote[2765].start 15632.98034375
transcript.pyannote[2765].end 15633.08159375
transcript.pyannote[2766].speaker SPEAKER_63
transcript.pyannote[2766].start 15633.35159375
transcript.pyannote[2766].end 15648.87659375
transcript.pyannote[2767].speaker SPEAKER_22
transcript.pyannote[2767].start 15648.31971875
transcript.pyannote[2767].end 15652.08284375
transcript.pyannote[2768].speaker SPEAKER_63
transcript.pyannote[2768].start 15650.42909375
transcript.pyannote[2768].end 15661.49909375
transcript.pyannote[2769].speaker SPEAKER_63
transcript.pyannote[2769].start 15661.95471875
transcript.pyannote[2769].end 15670.96596875
transcript.pyannote[2770].speaker SPEAKER_55
transcript.pyannote[2770].start 15668.24909375
transcript.pyannote[2770].end 15670.07159375
transcript.pyannote[2771].speaker SPEAKER_22
transcript.pyannote[2771].start 15670.07159375
transcript.pyannote[2771].end 15672.75471875
transcript.pyannote[2772].speaker SPEAKER_22
transcript.pyannote[2772].start 15673.75034375
transcript.pyannote[2772].end 15679.94346875
transcript.pyannote[2773].speaker SPEAKER_55
transcript.pyannote[2773].start 15675.70784375
transcript.pyannote[2773].end 15676.06221875
transcript.pyannote[2774].speaker SPEAKER_55
transcript.pyannote[2774].start 15676.61909375
transcript.pyannote[2774].end 15682.06971875
transcript.pyannote[2775].speaker SPEAKER_22
transcript.pyannote[2775].start 15680.73659375
transcript.pyannote[2775].end 15687.13221875
transcript.pyannote[2776].speaker SPEAKER_55
transcript.pyannote[2776].start 15684.09471875
transcript.pyannote[2776].end 15685.71471875
transcript.pyannote[2777].speaker SPEAKER_22
transcript.pyannote[2777].start 15687.73971875
transcript.pyannote[2777].end 15689.47784375
transcript.pyannote[2778].speaker SPEAKER_55
transcript.pyannote[2778].start 15687.80721875
transcript.pyannote[2778].end 15688.11096875
transcript.pyannote[2779].speaker SPEAKER_22
transcript.pyannote[2779].start 15690.11909375
transcript.pyannote[2779].end 15693.61221875
transcript.pyannote[2780].speaker SPEAKER_55
transcript.pyannote[2780].start 15692.63346875
transcript.pyannote[2780].end 15702.45471875
transcript.pyannote[2781].speaker SPEAKER_22
transcript.pyannote[2781].start 15693.81471875
transcript.pyannote[2781].end 15694.96221875
transcript.pyannote[2782].speaker SPEAKER_50
transcript.pyannote[2782].start 15696.17721875
transcript.pyannote[2782].end 15696.21096875
transcript.pyannote[2783].speaker SPEAKER_22
transcript.pyannote[2783].start 15696.21096875
transcript.pyannote[2783].end 15696.22784375
transcript.pyannote[2784].speaker SPEAKER_66
transcript.pyannote[2784].start 15696.22784375
transcript.pyannote[2784].end 15696.26159375
transcript.pyannote[2785].speaker SPEAKER_22
transcript.pyannote[2785].start 15696.26159375
transcript.pyannote[2785].end 15696.80159375
transcript.pyannote[2786].speaker SPEAKER_52
transcript.pyannote[2786].start 15696.80159375
transcript.pyannote[2786].end 15696.81846875
transcript.pyannote[2787].speaker SPEAKER_55
transcript.pyannote[2787].start 15703.63596875
transcript.pyannote[2787].end 15704.39534375
transcript.pyannote[2788].speaker SPEAKER_69
transcript.pyannote[2788].start 15709.81221875
transcript.pyannote[2788].end 15714.48659375
transcript.pyannote[2789].speaker SPEAKER_55
transcript.pyannote[2789].start 15712.66409375
transcript.pyannote[2789].end 15712.68096875
transcript.pyannote[2790].speaker SPEAKER_57
transcript.pyannote[2790].start 15712.68096875
transcript.pyannote[2790].end 15713.79471875
transcript.pyannote[2791].speaker SPEAKER_57
transcript.pyannote[2791].start 15714.89159375
transcript.pyannote[2791].end 15718.57034375
transcript.pyannote[2792].speaker SPEAKER_69
transcript.pyannote[2792].start 15715.14471875
transcript.pyannote[2792].end 15717.10221875
transcript.pyannote[2793].speaker SPEAKER_69
transcript.pyannote[2793].start 15717.35534375
transcript.pyannote[2793].end 15717.72659375
transcript.pyannote[2794].speaker SPEAKER_69
transcript.pyannote[2794].start 15718.67159375
transcript.pyannote[2794].end 15719.05971875
transcript.pyannote[2795].speaker SPEAKER_57
transcript.pyannote[2795].start 15719.05971875
transcript.pyannote[2795].end 15719.11034375
transcript.pyannote[2796].speaker SPEAKER_57
transcript.pyannote[2796].start 15719.22846875
transcript.pyannote[2796].end 15720.89909375
transcript.pyannote[2797].speaker SPEAKER_57
transcript.pyannote[2797].start 15721.84409375
transcript.pyannote[2797].end 15723.48096875
transcript.pyannote[2798].speaker SPEAKER_41
transcript.pyannote[2798].start 15731.47971875
transcript.pyannote[2798].end 15731.98596875
transcript.pyannote[2799].speaker SPEAKER_69
transcript.pyannote[2799].start 15732.52596875
transcript.pyannote[2799].end 15744.22034375
transcript.pyannote[2800].speaker SPEAKER_69
transcript.pyannote[2800].start 15744.52409375
transcript.pyannote[2800].end 15747.49409375
transcript.pyannote[2801].speaker SPEAKER_69
transcript.pyannote[2801].start 15747.86534375
transcript.pyannote[2801].end 15752.40471875
transcript.pyannote[2802].speaker SPEAKER_69
transcript.pyannote[2802].start 15752.60721875
transcript.pyannote[2802].end 15757.66971875
transcript.pyannote[2803].speaker SPEAKER_69
transcript.pyannote[2803].start 15758.64846875
transcript.pyannote[2803].end 15761.56784375
transcript.pyannote[2804].speaker SPEAKER_69
transcript.pyannote[2804].start 15762.10784375
transcript.pyannote[2804].end 15765.85409375
transcript.pyannote[2805].speaker SPEAKER_16
transcript.pyannote[2805].start 15766.12409375
transcript.pyannote[2805].end 15766.30971875
transcript.pyannote[2806].speaker SPEAKER_69
transcript.pyannote[2806].start 15767.69346875
transcript.pyannote[2806].end 15770.27534375
transcript.pyannote[2807].speaker SPEAKER_69
transcript.pyannote[2807].start 15770.64659375
transcript.pyannote[2807].end 15772.38471875
transcript.pyannote[2808].speaker SPEAKER_69
transcript.pyannote[2808].start 15772.97534375
transcript.pyannote[2808].end 15783.67409375
transcript.pyannote[2809].speaker SPEAKER_69
transcript.pyannote[2809].start 15784.04534375
transcript.pyannote[2809].end 15785.56409375
transcript.pyannote[2810].speaker SPEAKER_69
transcript.pyannote[2810].start 15786.08721875
transcript.pyannote[2810].end 15790.81221875
transcript.pyannote[2811].speaker SPEAKER_69
transcript.pyannote[2811].start 15791.68971875
transcript.pyannote[2811].end 15794.89596875
transcript.pyannote[2812].speaker SPEAKER_69
transcript.pyannote[2812].start 15795.14909375
transcript.pyannote[2812].end 15797.10659375
transcript.pyannote[2813].speaker SPEAKER_69
transcript.pyannote[2813].start 15797.73096875
transcript.pyannote[2813].end 15799.04721875
transcript.pyannote[2814].speaker SPEAKER_69
transcript.pyannote[2814].start 15799.31721875
transcript.pyannote[2814].end 15809.03721875
transcript.pyannote[2815].speaker SPEAKER_69
transcript.pyannote[2815].start 15809.12159375
transcript.pyannote[2815].end 15817.59284375
transcript.pyannote[2816].speaker SPEAKER_41
transcript.pyannote[2816].start 15817.15409375
transcript.pyannote[2816].end 15884.02971875
transcript.pyannote[2817].speaker SPEAKER_52
transcript.pyannote[2817].start 15834.09659375
transcript.pyannote[2817].end 15834.65346875
transcript.pyannote[2818].speaker SPEAKER_52
transcript.pyannote[2818].start 15840.66096875
transcript.pyannote[2818].end 15841.08284375
transcript.pyannote[2819].speaker SPEAKER_69
transcript.pyannote[2819].start 15884.02971875
transcript.pyannote[2819].end 15886.29096875
transcript.pyannote[2820].speaker SPEAKER_69
transcript.pyannote[2820].start 15887.48909375
transcript.pyannote[2820].end 15888.75471875
transcript.pyannote[2821].speaker SPEAKER_69
transcript.pyannote[2821].start 15888.77159375
transcript.pyannote[2821].end 15894.01971875
transcript.pyannote[2822].speaker SPEAKER_69
transcript.pyannote[2822].start 15894.42471875
transcript.pyannote[2822].end 15896.51721875
transcript.pyannote[2823].speaker SPEAKER_69
transcript.pyannote[2823].start 15896.61846875
transcript.pyannote[2823].end 15898.03596875
transcript.pyannote[2824].speaker SPEAKER_69
transcript.pyannote[2824].start 15898.81221875
transcript.pyannote[2824].end 15899.97659375
transcript.pyannote[2825].speaker SPEAKER_69
transcript.pyannote[2825].start 15900.29721875
transcript.pyannote[2825].end 15902.87909375
transcript.pyannote[2826].speaker SPEAKER_69
transcript.pyannote[2826].start 15903.36846875
transcript.pyannote[2826].end 15922.99409375
transcript.pyannote[2827].speaker SPEAKER_66
transcript.pyannote[2827].start 15916.42971875
transcript.pyannote[2827].end 15916.44659375
transcript.pyannote[2828].speaker SPEAKER_41
transcript.pyannote[2828].start 15916.44659375
transcript.pyannote[2828].end 15917.52659375
transcript.pyannote[2829].speaker SPEAKER_41
transcript.pyannote[2829].start 15922.36971875
transcript.pyannote[2829].end 15923.61846875
transcript.pyannote[2830].speaker SPEAKER_69
transcript.pyannote[2830].start 15923.51721875
transcript.pyannote[2830].end 15929.05221875
transcript.pyannote[2831].speaker SPEAKER_41
transcript.pyannote[2831].start 15928.63034375
transcript.pyannote[2831].end 15929.69346875
transcript.pyannote[2832].speaker SPEAKER_69
transcript.pyannote[2832].start 15929.69346875
transcript.pyannote[2832].end 15929.71034375
transcript.pyannote[2833].speaker SPEAKER_69
transcript.pyannote[2833].start 15929.86221875
transcript.pyannote[2833].end 15937.23659375
transcript.pyannote[2834].speaker SPEAKER_66
transcript.pyannote[2834].start 15937.23659375
transcript.pyannote[2834].end 15937.43909375
transcript.pyannote[2835].speaker SPEAKER_69
transcript.pyannote[2835].start 15937.42221875
transcript.pyannote[2835].end 15939.83534375
transcript.pyannote[2836].speaker SPEAKER_69
transcript.pyannote[2836].start 15940.05471875
transcript.pyannote[2836].end 15942.92346875
transcript.pyannote[2837].speaker SPEAKER_69
transcript.pyannote[2837].start 15943.78409375
transcript.pyannote[2837].end 15955.68096875
transcript.pyannote[2838].speaker SPEAKER_69
transcript.pyannote[2838].start 15956.64284375
transcript.pyannote[2838].end 15970.73346875
transcript.pyannote[2839].speaker SPEAKER_52
transcript.pyannote[2839].start 15965.62034375
transcript.pyannote[2839].end 15965.67096875
transcript.pyannote[2840].speaker SPEAKER_66
transcript.pyannote[2840].start 15965.67096875
transcript.pyannote[2840].end 15965.97471875
transcript.pyannote[2841].speaker SPEAKER_52
transcript.pyannote[2841].start 15965.97471875
transcript.pyannote[2841].end 15966.14346875
transcript.pyannote[2842].speaker SPEAKER_69
transcript.pyannote[2842].start 15970.90221875
transcript.pyannote[2842].end 15996.41721875
transcript.pyannote[2843].speaker SPEAKER_69
transcript.pyannote[2843].start 15996.70409375
transcript.pyannote[2843].end 16002.10409375
transcript.pyannote[2844].speaker SPEAKER_69
transcript.pyannote[2844].start 16002.64409375
transcript.pyannote[2844].end 16009.22534375
transcript.pyannote[2845].speaker SPEAKER_69
transcript.pyannote[2845].start 16009.61346875
transcript.pyannote[2845].end 16033.71096875
transcript.pyannote[2846].speaker SPEAKER_41
transcript.pyannote[2846].start 16033.71096875
transcript.pyannote[2846].end 16034.43659375
transcript.pyannote[2847].speaker SPEAKER_55
transcript.pyannote[2847].start 16037.18721875
transcript.pyannote[2847].end 16039.58346875
transcript.pyannote[2848].speaker SPEAKER_55
transcript.pyannote[2848].start 16040.54534375
transcript.pyannote[2848].end 16044.17346875
transcript.pyannote[2849].speaker SPEAKER_55
transcript.pyannote[2849].start 16045.23659375
transcript.pyannote[2849].end 16047.95346875
transcript.pyannote[2850].speaker SPEAKER_13
transcript.pyannote[2850].start 16055.31096875
transcript.pyannote[2850].end 16058.63534375
transcript.pyannote[2851].speaker SPEAKER_59
transcript.pyannote[2851].start 16059.12471875
transcript.pyannote[2851].end 16060.71096875
transcript.pyannote[2852].speaker SPEAKER_13
transcript.pyannote[2852].start 16060.71096875
transcript.pyannote[2852].end 16061.31846875
transcript.pyannote[2853].speaker SPEAKER_57
transcript.pyannote[2853].start 16067.59596875
transcript.pyannote[2853].end 16070.16096875
transcript.pyannote[2854].speaker SPEAKER_57
transcript.pyannote[2854].start 16072.13534375
transcript.pyannote[2854].end 16073.50221875
transcript.pyannote[2855].speaker SPEAKER_57
transcript.pyannote[2855].start 16077.68721875
transcript.pyannote[2855].end 16078.14284375
transcript.pyannote[2856].speaker SPEAKER_05
transcript.pyannote[2856].start 16078.14284375
transcript.pyannote[2856].end 16078.19346875
transcript.pyannote[2857].speaker SPEAKER_13
transcript.pyannote[2857].start 16078.19346875
transcript.pyannote[2857].end 16078.24409375
transcript.pyannote[2858].speaker SPEAKER_05
transcript.pyannote[2858].start 16078.66596875
transcript.pyannote[2858].end 16078.68284375
transcript.pyannote[2859].speaker SPEAKER_57
transcript.pyannote[2859].start 16078.68284375
transcript.pyannote[2859].end 16078.96971875
transcript.pyannote[2860].speaker SPEAKER_05
transcript.pyannote[2860].start 16078.96971875
transcript.pyannote[2860].end 16079.03721875
transcript.pyannote[2861].speaker SPEAKER_13
transcript.pyannote[2861].start 16079.03721875
transcript.pyannote[2861].end 16079.39159375
transcript.pyannote[2862].speaker SPEAKER_13
transcript.pyannote[2862].start 16079.94846875
transcript.pyannote[2862].end 16160.69534375
transcript.pyannote[2863].speaker SPEAKER_52
transcript.pyannote[2863].start 16098.64596875
transcript.pyannote[2863].end 16098.93284375
transcript.pyannote[2864].speaker SPEAKER_05
transcript.pyannote[2864].start 16103.42159375
transcript.pyannote[2864].end 16104.53534375
transcript.pyannote[2865].speaker SPEAKER_52
transcript.pyannote[2865].start 16104.53534375
transcript.pyannote[2865].end 16104.58596875
transcript.pyannote[2866].speaker SPEAKER_05
transcript.pyannote[2866].start 16161.53909375
transcript.pyannote[2866].end 16194.09096875
transcript.pyannote[2867].speaker SPEAKER_05
transcript.pyannote[2867].start 16194.64784375
transcript.pyannote[2867].end 16203.08534375
transcript.pyannote[2868].speaker SPEAKER_66
transcript.pyannote[2868].start 16197.21284375
transcript.pyannote[2868].end 16197.39846875
transcript.pyannote[2869].speaker SPEAKER_52
transcript.pyannote[2869].start 16197.39846875
transcript.pyannote[2869].end 16197.44909375
transcript.pyannote[2870].speaker SPEAKER_05
transcript.pyannote[2870].start 16203.47346875
transcript.pyannote[2870].end 16214.18909375
transcript.pyannote[2871].speaker SPEAKER_13
transcript.pyannote[2871].start 16214.18909375
transcript.pyannote[2871].end 16214.72909375
transcript.pyannote[2872].speaker SPEAKER_05
transcript.pyannote[2872].start 16214.20596875
transcript.pyannote[2872].end 16214.96534375
transcript.pyannote[2873].speaker SPEAKER_13
transcript.pyannote[2873].start 16214.96534375
transcript.pyannote[2873].end 16239.18096875
transcript.pyannote[2874].speaker SPEAKER_05
transcript.pyannote[2874].start 16215.97784375
transcript.pyannote[2874].end 16216.28159375
transcript.pyannote[2875].speaker SPEAKER_05
transcript.pyannote[2875].start 16217.73284375
transcript.pyannote[2875].end 16218.12096875
transcript.pyannote[2876].speaker SPEAKER_05
transcript.pyannote[2876].start 16224.22971875
transcript.pyannote[2876].end 16224.92159375
transcript.pyannote[2877].speaker SPEAKER_52
transcript.pyannote[2877].start 16224.92159375
transcript.pyannote[2877].end 16224.93846875
transcript.pyannote[2878].speaker SPEAKER_05
transcript.pyannote[2878].start 16238.53971875
transcript.pyannote[2878].end 16248.07409375
transcript.pyannote[2879].speaker SPEAKER_13
transcript.pyannote[2879].start 16246.47096875
transcript.pyannote[2879].end 16246.87596875
transcript.pyannote[2880].speaker SPEAKER_05
transcript.pyannote[2880].start 16248.19221875
transcript.pyannote[2880].end 16267.24409375
transcript.pyannote[2881].speaker SPEAKER_13
transcript.pyannote[2881].start 16267.24409375
transcript.pyannote[2881].end 16272.64409375
transcript.pyannote[2882].speaker SPEAKER_13
transcript.pyannote[2882].start 16272.86346875
transcript.pyannote[2882].end 16281.18284375
transcript.pyannote[2883].speaker SPEAKER_13
transcript.pyannote[2883].start 16281.58784375
transcript.pyannote[2883].end 16289.51909375
transcript.pyannote[2884].speaker SPEAKER_52
transcript.pyannote[2884].start 16281.63846875
transcript.pyannote[2884].end 16281.72284375
transcript.pyannote[2885].speaker SPEAKER_05
transcript.pyannote[2885].start 16281.72284375
transcript.pyannote[2885].end 16282.31346875
transcript.pyannote[2886].speaker SPEAKER_52
transcript.pyannote[2886].start 16282.31346875
transcript.pyannote[2886].end 16282.33034375
transcript.pyannote[2887].speaker SPEAKER_05
transcript.pyannote[2887].start 16287.10596875
transcript.pyannote[2887].end 16306.14096875
transcript.pyannote[2888].speaker SPEAKER_13
transcript.pyannote[2888].start 16304.80784375
transcript.pyannote[2888].end 16354.20096875
transcript.pyannote[2889].speaker SPEAKER_05
transcript.pyannote[2889].start 16306.20846875
transcript.pyannote[2889].end 16306.95096875
transcript.pyannote[2890].speaker SPEAKER_52
transcript.pyannote[2890].start 16326.34034375
transcript.pyannote[2890].end 16326.71159375
transcript.pyannote[2891].speaker SPEAKER_13
transcript.pyannote[2891].start 16354.35284375
transcript.pyannote[2891].end 16355.85471875
transcript.pyannote[2892].speaker SPEAKER_13
transcript.pyannote[2892].start 16356.34409375
transcript.pyannote[2892].end 16360.74846875
transcript.pyannote[2893].speaker SPEAKER_05
transcript.pyannote[2893].start 16360.37721875
transcript.pyannote[2893].end 16364.66346875
transcript.pyannote[2894].speaker SPEAKER_05
transcript.pyannote[2894].start 16365.03471875
transcript.pyannote[2894].end 16390.71846875
transcript.pyannote[2895].speaker SPEAKER_13
transcript.pyannote[2895].start 16389.01409375
transcript.pyannote[2895].end 16418.19096875
transcript.pyannote[2896].speaker SPEAKER_05
transcript.pyannote[2896].start 16417.53284375
transcript.pyannote[2896].end 16431.10034375
transcript.pyannote[2897].speaker SPEAKER_13
transcript.pyannote[2897].start 16423.32096875
transcript.pyannote[2897].end 16425.59909375
transcript.pyannote[2898].speaker SPEAKER_13
transcript.pyannote[2898].start 16428.95721875
transcript.pyannote[2898].end 16429.10909375
transcript.pyannote[2899].speaker SPEAKER_13
transcript.pyannote[2899].start 16430.03721875
transcript.pyannote[2899].end 16438.35659375
transcript.pyannote[2900].speaker SPEAKER_05
transcript.pyannote[2900].start 16437.00659375
transcript.pyannote[2900].end 16438.69409375
transcript.pyannote[2901].speaker SPEAKER_55
transcript.pyannote[2901].start 16438.35659375
transcript.pyannote[2901].end 16442.79471875
transcript.pyannote[2902].speaker SPEAKER_13
transcript.pyannote[2902].start 16438.69409375
transcript.pyannote[2902].end 16438.74471875
transcript.pyannote[2903].speaker SPEAKER_62
transcript.pyannote[2903].start 16449.93284375
transcript.pyannote[2903].end 16450.60784375
transcript.pyannote[2904].speaker SPEAKER_62
transcript.pyannote[2904].start 16451.14784375
transcript.pyannote[2904].end 16452.58221875
transcript.pyannote[2905].speaker SPEAKER_62
transcript.pyannote[2905].start 16453.10534375
transcript.pyannote[2905].end 16453.44284375
transcript.pyannote[2906].speaker SPEAKER_57
transcript.pyannote[2906].start 16454.06721875
transcript.pyannote[2906].end 16455.55221875
transcript.pyannote[2907].speaker SPEAKER_62
transcript.pyannote[2907].start 16463.85471875
transcript.pyannote[2907].end 16465.93034375
transcript.pyannote[2908].speaker SPEAKER_66
transcript.pyannote[2908].start 16465.93034375
transcript.pyannote[2908].end 16466.21721875
transcript.pyannote[2909].speaker SPEAKER_62
transcript.pyannote[2909].start 16465.99784375
transcript.pyannote[2909].end 16493.14971875
transcript.pyannote[2910].speaker SPEAKER_41
transcript.pyannote[2910].start 16493.23409375
transcript.pyannote[2910].end 16495.86659375
transcript.pyannote[2911].speaker SPEAKER_62
transcript.pyannote[2911].start 16495.29284375
transcript.pyannote[2911].end 16496.57534375
transcript.pyannote[2912].speaker SPEAKER_41
transcript.pyannote[2912].start 16495.90034375
transcript.pyannote[2912].end 16495.93409375
transcript.pyannote[2913].speaker SPEAKER_41
transcript.pyannote[2913].start 16496.05221875
transcript.pyannote[2913].end 16497.16596875
transcript.pyannote[2914].speaker SPEAKER_62
transcript.pyannote[2914].start 16497.11534375
transcript.pyannote[2914].end 16501.92471875
transcript.pyannote[2915].speaker SPEAKER_62
transcript.pyannote[2915].start 16502.12721875
transcript.pyannote[2915].end 16504.03409375
transcript.pyannote[2916].speaker SPEAKER_41
transcript.pyannote[2916].start 16504.20284375
transcript.pyannote[2916].end 16521.83721875
transcript.pyannote[2917].speaker SPEAKER_62
transcript.pyannote[2917].start 16507.12221875
transcript.pyannote[2917].end 16507.57784375
transcript.pyannote[2918].speaker SPEAKER_62
transcript.pyannote[2918].start 16519.74471875
transcript.pyannote[2918].end 16520.21721875
transcript.pyannote[2919].speaker SPEAKER_62
transcript.pyannote[2919].start 16522.09034375
transcript.pyannote[2919].end 16524.95909375
transcript.pyannote[2920].speaker SPEAKER_62
transcript.pyannote[2920].start 16525.34721875
transcript.pyannote[2920].end 16528.72221875
transcript.pyannote[2921].speaker SPEAKER_62
transcript.pyannote[2921].start 16529.11034375
transcript.pyannote[2921].end 16533.07596875
transcript.pyannote[2922].speaker SPEAKER_41
transcript.pyannote[2922].start 16532.50221875
transcript.pyannote[2922].end 16534.34159375
transcript.pyannote[2923].speaker SPEAKER_62
transcript.pyannote[2923].start 16534.00409375
transcript.pyannote[2923].end 16545.76596875
transcript.pyannote[2924].speaker SPEAKER_66
transcript.pyannote[2924].start 16539.75846875
transcript.pyannote[2924].end 16539.89346875
transcript.pyannote[2925].speaker SPEAKER_66
transcript.pyannote[2925].start 16543.21784375
transcript.pyannote[2925].end 16543.67346875
transcript.pyannote[2926].speaker SPEAKER_66
transcript.pyannote[2926].start 16545.64784375
transcript.pyannote[2926].end 16546.13721875
transcript.pyannote[2927].speaker SPEAKER_62
transcript.pyannote[2927].start 16545.98534375
transcript.pyannote[2927].end 16551.58784375
transcript.pyannote[2928].speaker SPEAKER_62
transcript.pyannote[2928].start 16551.92534375
transcript.pyannote[2928].end 16554.72659375
transcript.pyannote[2929].speaker SPEAKER_41
transcript.pyannote[2929].start 16554.89534375
transcript.pyannote[2929].end 16560.70034375
transcript.pyannote[2930].speaker SPEAKER_62
transcript.pyannote[2930].start 16560.14346875
transcript.pyannote[2930].end 16563.61971875
transcript.pyannote[2931].speaker SPEAKER_28
transcript.pyannote[2931].start 16562.86034375
transcript.pyannote[2931].end 16586.11409375
transcript.pyannote[2932].speaker SPEAKER_62
transcript.pyannote[2932].start 16583.36346875
transcript.pyannote[2932].end 16617.01221875
transcript.pyannote[2933].speaker SPEAKER_28
transcript.pyannote[2933].start 16587.78471875
transcript.pyannote[2933].end 16588.39221875
transcript.pyannote[2934].speaker SPEAKER_53
transcript.pyannote[2934].start 16589.30346875
transcript.pyannote[2934].end 16589.33721875
transcript.pyannote[2935].speaker SPEAKER_28
transcript.pyannote[2935].start 16589.33721875
transcript.pyannote[2935].end 16590.11346875
transcript.pyannote[2936].speaker SPEAKER_28
transcript.pyannote[2936].start 16616.08409375
transcript.pyannote[2936].end 16616.37096875
transcript.pyannote[2937].speaker SPEAKER_62
transcript.pyannote[2937].start 16617.53534375
transcript.pyannote[2937].end 16620.85971875
transcript.pyannote[2938].speaker SPEAKER_28
transcript.pyannote[2938].start 16617.55221875
transcript.pyannote[2938].end 16618.05846875
transcript.pyannote[2939].speaker SPEAKER_28
transcript.pyannote[2939].start 16620.31971875
transcript.pyannote[2939].end 16646.05409375
transcript.pyannote[2940].speaker SPEAKER_62
transcript.pyannote[2940].start 16645.59846875
transcript.pyannote[2940].end 16652.31471875
transcript.pyannote[2941].speaker SPEAKER_28
transcript.pyannote[2941].start 16651.40346875
transcript.pyannote[2941].end 16656.90471875
transcript.pyannote[2942].speaker SPEAKER_62
transcript.pyannote[2942].start 16653.49596875
transcript.pyannote[2942].end 16653.93471875
transcript.pyannote[2943].speaker SPEAKER_62
transcript.pyannote[2943].start 16655.52096875
transcript.pyannote[2943].end 16673.15534375
transcript.pyannote[2944].speaker SPEAKER_28
transcript.pyannote[2944].start 16661.61284375
transcript.pyannote[2944].end 16661.98409375
transcript.pyannote[2945].speaker SPEAKER_28
transcript.pyannote[2945].start 16671.78846875
transcript.pyannote[2945].end 16673.29034375
transcript.pyannote[2946].speaker SPEAKER_62
transcript.pyannote[2946].start 16673.29034375
transcript.pyannote[2946].end 16673.64471875
transcript.pyannote[2947].speaker SPEAKER_28
transcript.pyannote[2947].start 16673.64471875
transcript.pyannote[2947].end 16674.74159375
transcript.pyannote[2948].speaker SPEAKER_62
transcript.pyannote[2948].start 16674.74159375
transcript.pyannote[2948].end 16736.77409375
transcript.pyannote[2949].speaker SPEAKER_28
transcript.pyannote[2949].start 16674.75846875
transcript.pyannote[2949].end 16675.99034375
transcript.pyannote[2950].speaker SPEAKER_28
transcript.pyannote[2950].start 16677.39096875
transcript.pyannote[2950].end 16678.89284375
transcript.pyannote[2951].speaker SPEAKER_66
transcript.pyannote[2951].start 16714.81971875
transcript.pyannote[2951].end 16714.97159375
transcript.pyannote[2952].speaker SPEAKER_53
transcript.pyannote[2952].start 16714.97159375
transcript.pyannote[2952].end 16715.14034375
transcript.pyannote[2953].speaker SPEAKER_28
transcript.pyannote[2953].start 16735.15409375
transcript.pyannote[2953].end 16754.25659375
transcript.pyannote[2954].speaker SPEAKER_62
transcript.pyannote[2954].start 16742.51159375
transcript.pyannote[2954].end 16744.26659375
transcript.pyannote[2955].speaker SPEAKER_62
transcript.pyannote[2955].start 16745.19471875
transcript.pyannote[2955].end 16745.65034375
transcript.pyannote[2956].speaker SPEAKER_62
transcript.pyannote[2956].start 16753.29471875
transcript.pyannote[2956].end 16769.32596875
transcript.pyannote[2957].speaker SPEAKER_28
transcript.pyannote[2957].start 16754.62784375
transcript.pyannote[2957].end 16754.98221875
transcript.pyannote[2958].speaker SPEAKER_28
transcript.pyannote[2958].start 16761.69846875
transcript.pyannote[2958].end 16761.76596875
transcript.pyannote[2959].speaker SPEAKER_53
transcript.pyannote[2959].start 16761.76596875
transcript.pyannote[2959].end 16761.98534375
transcript.pyannote[2960].speaker SPEAKER_53
transcript.pyannote[2960].start 16765.78221875
transcript.pyannote[2960].end 16765.83284375
transcript.pyannote[2961].speaker SPEAKER_59
transcript.pyannote[2961].start 16765.83284375
transcript.pyannote[2961].end 16766.03534375
transcript.pyannote[2962].speaker SPEAKER_55
transcript.pyannote[2962].start 16766.03534375
transcript.pyannote[2962].end 16766.77784375
transcript.pyannote[2963].speaker SPEAKER_59
transcript.pyannote[2963].start 16766.77784375
transcript.pyannote[2963].end 16766.82846875
transcript.pyannote[2964].speaker SPEAKER_55
transcript.pyannote[2964].start 16770.57471875
transcript.pyannote[2964].end 16772.63346875
transcript.pyannote[2965].speaker SPEAKER_55
transcript.pyannote[2965].start 16775.73846875
transcript.pyannote[2965].end 16778.28659375
transcript.pyannote[2966].speaker SPEAKER_32
transcript.pyannote[2966].start 16785.50909375
transcript.pyannote[2966].end 16787.90534375
transcript.pyannote[2967].speaker SPEAKER_59
transcript.pyannote[2967].start 16788.12471875
transcript.pyannote[2967].end 16789.37346875
transcript.pyannote[2968].speaker SPEAKER_11
transcript.pyannote[2968].start 16799.86971875
transcript.pyannote[2968].end 16800.66284375
transcript.pyannote[2969].speaker SPEAKER_32
transcript.pyannote[2969].start 16800.81471875
transcript.pyannote[2969].end 16801.82721875
transcript.pyannote[2970].speaker SPEAKER_32
transcript.pyannote[2970].start 16802.51909375
transcript.pyannote[2970].end 16809.38721875
transcript.pyannote[2971].speaker SPEAKER_32
transcript.pyannote[2971].start 16809.65721875
transcript.pyannote[2971].end 16911.93659375
transcript.pyannote[2972].speaker SPEAKER_11
transcript.pyannote[2972].start 16913.65784375
transcript.pyannote[2972].end 16915.42971875
transcript.pyannote[2973].speaker SPEAKER_11
transcript.pyannote[2973].start 16915.66596875
transcript.pyannote[2973].end 16923.90096875
transcript.pyannote[2974].speaker SPEAKER_39
transcript.pyannote[2974].start 16924.15409375
transcript.pyannote[2974].end 16924.62659375
transcript.pyannote[2975].speaker SPEAKER_11
transcript.pyannote[2975].start 16924.22159375
transcript.pyannote[2975].end 16924.44096875
transcript.pyannote[2976].speaker SPEAKER_11
transcript.pyannote[2976].start 16925.35221875
transcript.pyannote[2976].end 16936.08471875
transcript.pyannote[2977].speaker SPEAKER_39
transcript.pyannote[2977].start 16931.51159375
transcript.pyannote[2977].end 16931.52846875
transcript.pyannote[2978].speaker SPEAKER_32
transcript.pyannote[2978].start 16931.52846875
transcript.pyannote[2978].end 16931.93346875
transcript.pyannote[2979].speaker SPEAKER_39
transcript.pyannote[2979].start 16932.52409375
transcript.pyannote[2979].end 16932.55784375
transcript.pyannote[2980].speaker SPEAKER_32
transcript.pyannote[2980].start 16932.55784375
transcript.pyannote[2980].end 16932.96284375
transcript.pyannote[2981].speaker SPEAKER_32
transcript.pyannote[2981].start 16936.08471875
transcript.pyannote[2981].end 16938.48096875
transcript.pyannote[2982].speaker SPEAKER_32
transcript.pyannote[2982].start 16938.97034375
transcript.pyannote[2982].end 16945.04534375
transcript.pyannote[2983].speaker SPEAKER_32
transcript.pyannote[2983].start 16945.19721875
transcript.pyannote[2983].end 16947.84659375
transcript.pyannote[2984].speaker SPEAKER_32
transcript.pyannote[2984].start 16948.01534375
transcript.pyannote[2984].end 16952.09909375
transcript.pyannote[2985].speaker SPEAKER_32
transcript.pyannote[2985].start 16952.79096875
transcript.pyannote[2985].end 16965.73409375
transcript.pyannote[2986].speaker SPEAKER_32
transcript.pyannote[2986].start 16965.80159375
transcript.pyannote[2986].end 16992.68346875
transcript.pyannote[2987].speaker SPEAKER_11
transcript.pyannote[2987].start 16993.66221875
transcript.pyannote[2987].end 16994.16846875
transcript.pyannote[2988].speaker SPEAKER_11
transcript.pyannote[2988].start 16994.40471875
transcript.pyannote[2988].end 16996.71659375
transcript.pyannote[2989].speaker SPEAKER_11
transcript.pyannote[2989].start 16997.88096875
transcript.pyannote[2989].end 17005.28909375
transcript.pyannote[2990].speaker SPEAKER_35
transcript.pyannote[2990].start 17004.14159375
transcript.pyannote[2990].end 17004.36096875
transcript.pyannote[2991].speaker SPEAKER_10
transcript.pyannote[2991].start 17006.28471875
transcript.pyannote[2991].end 17030.36534375
transcript.pyannote[2992].speaker SPEAKER_11
transcript.pyannote[2992].start 17006.95971875
transcript.pyannote[2992].end 17007.34784375
transcript.pyannote[2993].speaker SPEAKER_32
transcript.pyannote[2993].start 17025.82596875
transcript.pyannote[2993].end 17026.31534375
transcript.pyannote[2994].speaker SPEAKER_32
transcript.pyannote[2994].start 17029.18409375
transcript.pyannote[2994].end 17036.13659375
transcript.pyannote[2995].speaker SPEAKER_32
transcript.pyannote[2995].start 17036.86221875
transcript.pyannote[2995].end 17047.94909375
transcript.pyannote[2996].speaker SPEAKER_32
transcript.pyannote[2996].start 17048.65784375
transcript.pyannote[2996].end 17054.20971875
transcript.pyannote[2997].speaker SPEAKER_32
transcript.pyannote[2997].start 17054.80034375
transcript.pyannote[2997].end 17125.75971875
transcript.pyannote[2998].speaker SPEAKER_32
transcript.pyannote[2998].start 17126.18159375
transcript.pyannote[2998].end 17136.05346875
transcript.pyannote[2999].speaker SPEAKER_32
transcript.pyannote[2999].start 17136.28971875
transcript.pyannote[2999].end 17150.93721875
transcript.pyannote[3000].speaker SPEAKER_11
transcript.pyannote[3000].start 17149.41846875
transcript.pyannote[3000].end 17195.40284375
transcript.pyannote[3001].speaker SPEAKER_52
transcript.pyannote[3001].start 17165.85471875
transcript.pyannote[3001].end 17166.22596875
transcript.pyannote[3002].speaker SPEAKER_32
transcript.pyannote[3002].start 17194.67721875
transcript.pyannote[3002].end 17195.08221875
transcript.pyannote[3003].speaker SPEAKER_32
transcript.pyannote[3003].start 17195.40284375
transcript.pyannote[3003].end 17203.73909375
transcript.pyannote[3004].speaker SPEAKER_32
transcript.pyannote[3004].start 17204.26221875
transcript.pyannote[3004].end 17206.13534375
transcript.pyannote[3005].speaker SPEAKER_55
transcript.pyannote[3005].start 17205.10596875
transcript.pyannote[3005].end 17212.15971875
transcript.pyannote[3006].speaker SPEAKER_50
transcript.pyannote[3006].start 17230.13159375
transcript.pyannote[3006].end 17232.12284375
transcript.pyannote[3007].speaker SPEAKER_55
transcript.pyannote[3007].start 17232.12284375
transcript.pyannote[3007].end 17232.15659375
transcript.pyannote[3008].speaker SPEAKER_59
transcript.pyannote[3008].start 17232.15659375
transcript.pyannote[3008].end 17233.27034375
transcript.pyannote[3009].speaker SPEAKER_50
transcript.pyannote[3009].start 17244.67784375
transcript.pyannote[3009].end 17245.99409375
transcript.pyannote[3010].speaker SPEAKER_50
transcript.pyannote[3010].start 17246.50034375
transcript.pyannote[3010].end 17254.46534375
transcript.pyannote[3011].speaker SPEAKER_50
transcript.pyannote[3011].start 17254.73534375
transcript.pyannote[3011].end 17258.34659375
transcript.pyannote[3012].speaker SPEAKER_50
transcript.pyannote[3012].start 17259.46034375
transcript.pyannote[3012].end 17276.01471875
transcript.pyannote[3013].speaker SPEAKER_63
transcript.pyannote[3013].start 17269.11284375
transcript.pyannote[3013].end 17269.48409375
transcript.pyannote[3014].speaker SPEAKER_50
transcript.pyannote[3014].start 17276.31846875
transcript.pyannote[3014].end 17277.26346875
transcript.pyannote[3015].speaker SPEAKER_63
transcript.pyannote[3015].start 17277.58409375
transcript.pyannote[3015].end 17281.41471875
transcript.pyannote[3016].speaker SPEAKER_63
transcript.pyannote[3016].start 17281.73534375
transcript.pyannote[3016].end 17292.56909375
transcript.pyannote[3017].speaker SPEAKER_63
transcript.pyannote[3017].start 17292.70409375
transcript.pyannote[3017].end 17325.20534375
transcript.pyannote[3018].speaker SPEAKER_50
transcript.pyannote[3018].start 17325.94784375
transcript.pyannote[3018].end 17327.09534375
transcript.pyannote[3019].speaker SPEAKER_50
transcript.pyannote[3019].start 17327.41596875
transcript.pyannote[3019].end 17349.57284375
transcript.pyannote[3020].speaker SPEAKER_63
transcript.pyannote[3020].start 17329.71096875
transcript.pyannote[3020].end 17330.14971875
transcript.pyannote[3021].speaker SPEAKER_63
transcript.pyannote[3021].start 17331.92159375
transcript.pyannote[3021].end 17332.46159375
transcript.pyannote[3022].speaker SPEAKER_52
transcript.pyannote[3022].start 17333.99721875
transcript.pyannote[3022].end 17334.63846875
transcript.pyannote[3023].speaker SPEAKER_52
transcript.pyannote[3023].start 17334.68909375
transcript.pyannote[3023].end 17335.02659375
transcript.pyannote[3024].speaker SPEAKER_26
transcript.pyannote[3024].start 17335.02659375
transcript.pyannote[3024].end 17335.26284375
transcript.pyannote[3025].speaker SPEAKER_52
transcript.pyannote[3025].start 17335.26284375
transcript.pyannote[3025].end 17335.27971875
transcript.pyannote[3026].speaker SPEAKER_63
transcript.pyannote[3026].start 17347.54784375
transcript.pyannote[3026].end 17351.04096875
transcript.pyannote[3027].speaker SPEAKER_50
transcript.pyannote[3027].start 17351.63159375
transcript.pyannote[3027].end 17376.55596875
transcript.pyannote[3028].speaker SPEAKER_50
transcript.pyannote[3028].start 17377.31534375
transcript.pyannote[3028].end 17381.24721875
transcript.pyannote[3029].speaker SPEAKER_63
transcript.pyannote[3029].start 17378.19284375
transcript.pyannote[3029].end 17387.40659375
transcript.pyannote[3030].speaker SPEAKER_63
transcript.pyannote[3030].start 17387.52471875
transcript.pyannote[3030].end 17391.18659375
transcript.pyannote[3031].speaker SPEAKER_53
transcript.pyannote[3031].start 17387.77784375
transcript.pyannote[3031].end 17387.82846875
transcript.pyannote[3032].speaker SPEAKER_63
transcript.pyannote[3032].start 17391.25409375
transcript.pyannote[3032].end 17394.39284375
transcript.pyannote[3033].speaker SPEAKER_63
transcript.pyannote[3033].start 17394.59534375
transcript.pyannote[3033].end 17406.34034375
transcript.pyannote[3034].speaker SPEAKER_50
transcript.pyannote[3034].start 17400.72096875
transcript.pyannote[3034].end 17400.95721875
transcript.pyannote[3035].speaker SPEAKER_50
transcript.pyannote[3035].start 17406.91409375
transcript.pyannote[3035].end 17410.44096875
transcript.pyannote[3036].speaker SPEAKER_50
transcript.pyannote[3036].start 17411.16659375
transcript.pyannote[3036].end 17450.92409375
transcript.pyannote[3037].speaker SPEAKER_50
transcript.pyannote[3037].start 17451.44721875
transcript.pyannote[3037].end 17483.40846875
transcript.pyannote[3038].speaker SPEAKER_63
transcript.pyannote[3038].start 17481.70409375
transcript.pyannote[3038].end 17482.41284375
transcript.pyannote[3039].speaker SPEAKER_63
transcript.pyannote[3039].start 17482.78409375
transcript.pyannote[3039].end 17502.54471875
transcript.pyannote[3040].speaker SPEAKER_66
transcript.pyannote[3040].start 17493.65159375
transcript.pyannote[3040].end 17493.68534375
transcript.pyannote[3041].speaker SPEAKER_50
transcript.pyannote[3041].start 17493.68534375
transcript.pyannote[3041].end 17494.20846875
transcript.pyannote[3042].speaker SPEAKER_53
transcript.pyannote[3042].start 17494.49534375
transcript.pyannote[3042].end 17494.66409375
transcript.pyannote[3043].speaker SPEAKER_50
transcript.pyannote[3043].start 17501.11034375
transcript.pyannote[3043].end 17553.35534375
transcript.pyannote[3044].speaker SPEAKER_63
transcript.pyannote[3044].start 17504.40096875
transcript.pyannote[3044].end 17504.87346875
transcript.pyannote[3045].speaker SPEAKER_63
transcript.pyannote[3045].start 17505.36284375
transcript.pyannote[3045].end 17506.35846875
transcript.pyannote[3046].speaker SPEAKER_63
transcript.pyannote[3046].start 17509.54784375
transcript.pyannote[3046].end 17509.96971875
transcript.pyannote[3047].speaker SPEAKER_55
transcript.pyannote[3047].start 17509.96971875
transcript.pyannote[3047].end 17510.00346875
transcript.pyannote[3048].speaker SPEAKER_52
transcript.pyannote[3048].start 17518.42409375
transcript.pyannote[3048].end 17518.96409375
transcript.pyannote[3049].speaker SPEAKER_52
transcript.pyannote[3049].start 17523.60471875
transcript.pyannote[3049].end 17523.92534375
transcript.pyannote[3050].speaker SPEAKER_52
transcript.pyannote[3050].start 17525.51159375
transcript.pyannote[3050].end 17526.62534375
transcript.pyannote[3051].speaker SPEAKER_63
transcript.pyannote[3051].start 17553.54096875
transcript.pyannote[3051].end 17574.75284375
transcript.pyannote[3052].speaker SPEAKER_50
transcript.pyannote[3052].start 17573.41971875
transcript.pyannote[3052].end 17576.20409375
transcript.pyannote[3053].speaker SPEAKER_63
transcript.pyannote[3053].start 17575.12409375
transcript.pyannote[3053].end 17584.74284375
transcript.pyannote[3054].speaker SPEAKER_50
transcript.pyannote[3054].start 17576.45721875
transcript.pyannote[3054].end 17576.77784375
transcript.pyannote[3055].speaker SPEAKER_50
transcript.pyannote[3055].start 17578.17846875
transcript.pyannote[3055].end 17578.70159375
transcript.pyannote[3056].speaker SPEAKER_50
transcript.pyannote[3056].start 17585.01284375
transcript.pyannote[3056].end 17597.31471875
transcript.pyannote[3057].speaker SPEAKER_63
transcript.pyannote[3057].start 17588.64096875
transcript.pyannote[3057].end 17589.02909375
transcript.pyannote[3058].speaker SPEAKER_50
transcript.pyannote[3058].start 17597.66909375
transcript.pyannote[3058].end 17602.78221875
transcript.pyannote[3059].speaker SPEAKER_50
transcript.pyannote[3059].start 17603.20409375
transcript.pyannote[3059].end 17627.84159375
transcript.pyannote[3060].speaker SPEAKER_52
transcript.pyannote[3060].start 17605.60034375
transcript.pyannote[3060].end 17605.97159375
transcript.pyannote[3061].speaker SPEAKER_52
transcript.pyannote[3061].start 17618.83034375
transcript.pyannote[3061].end 17619.20159375
transcript.pyannote[3062].speaker SPEAKER_55
transcript.pyannote[3062].start 17627.11596875
transcript.pyannote[3062].end 17627.52096875
transcript.pyannote[3063].speaker SPEAKER_50
transcript.pyannote[3063].start 17628.36471875
transcript.pyannote[3063].end 17635.30034375
transcript.pyannote[3064].speaker SPEAKER_63
transcript.pyannote[3064].start 17635.30034375
transcript.pyannote[3064].end 17635.33409375
transcript.pyannote[3065].speaker SPEAKER_55
transcript.pyannote[3065].start 17635.41846875
transcript.pyannote[3065].end 17637.00471875
transcript.pyannote[3066].speaker SPEAKER_55
transcript.pyannote[3066].start 17641.25721875
transcript.pyannote[3066].end 17643.56909375
transcript.pyannote[3067].speaker SPEAKER_49
transcript.pyannote[3067].start 17653.30596875
transcript.pyannote[3067].end 17656.63034375
transcript.pyannote[3068].speaker SPEAKER_59
transcript.pyannote[3068].start 17659.31346875
transcript.pyannote[3068].end 17660.35971875
transcript.pyannote[3069].speaker SPEAKER_57
transcript.pyannote[3069].start 17666.13096875
transcript.pyannote[3069].end 17668.12221875
transcript.pyannote[3070].speaker SPEAKER_57
transcript.pyannote[3070].start 17670.40034375
transcript.pyannote[3070].end 17671.04159375
transcript.pyannote[3071].speaker SPEAKER_68
transcript.pyannote[3071].start 17671.04159375
transcript.pyannote[3071].end 17671.05846875
transcript.pyannote[3072].speaker SPEAKER_49
transcript.pyannote[3072].start 17671.41284375
transcript.pyannote[3072].end 17720.11409375
transcript.pyannote[3073].speaker SPEAKER_68
transcript.pyannote[3073].start 17676.52596875
transcript.pyannote[3073].end 17676.86346875
transcript.pyannote[3074].speaker SPEAKER_52
transcript.pyannote[3074].start 17709.53346875
transcript.pyannote[3074].end 17709.83721875
transcript.pyannote[3075].speaker SPEAKER_16
transcript.pyannote[3075].start 17719.99596875
transcript.pyannote[3075].end 17720.31659375
transcript.pyannote[3076].speaker SPEAKER_49
transcript.pyannote[3076].start 17720.28284375
transcript.pyannote[3076].end 17743.77284375
transcript.pyannote[3077].speaker SPEAKER_49
transcript.pyannote[3077].start 17744.53221875
transcript.pyannote[3077].end 17749.07159375
transcript.pyannote[3078].speaker SPEAKER_49
transcript.pyannote[3078].start 17749.40909375
transcript.pyannote[3078].end 17769.94596875
transcript.pyannote[3079].speaker SPEAKER_49
transcript.pyannote[3079].start 17770.51971875
transcript.pyannote[3079].end 17785.42034375
transcript.pyannote[3080].speaker SPEAKER_68
transcript.pyannote[3080].start 17785.90971875
transcript.pyannote[3080].end 17807.79659375
transcript.pyannote[3081].speaker SPEAKER_49
transcript.pyannote[3081].start 17807.98221875
transcript.pyannote[3081].end 17817.02721875
transcript.pyannote[3082].speaker SPEAKER_68
transcript.pyannote[3082].start 17817.46596875
transcript.pyannote[3082].end 17842.66034375
transcript.pyannote[3083].speaker SPEAKER_49
transcript.pyannote[3083].start 17842.81221875
transcript.pyannote[3083].end 17847.23346875
transcript.pyannote[3084].speaker SPEAKER_49
transcript.pyannote[3084].start 17848.26284375
transcript.pyannote[3084].end 17859.40034375
transcript.pyannote[3085].speaker SPEAKER_49
transcript.pyannote[3085].start 17860.00784375
transcript.pyannote[3085].end 17885.79284375
transcript.pyannote[3086].speaker SPEAKER_68
transcript.pyannote[3086].start 17885.65784375
transcript.pyannote[3086].end 17906.02596875
transcript.pyannote[3087].speaker SPEAKER_49
transcript.pyannote[3087].start 17905.67159375
transcript.pyannote[3087].end 17911.96596875
transcript.pyannote[3088].speaker SPEAKER_68
transcript.pyannote[3088].start 17911.35846875
transcript.pyannote[3088].end 17911.72971875
transcript.pyannote[3089].speaker SPEAKER_68
transcript.pyannote[3089].start 17911.76346875
transcript.pyannote[3089].end 17911.79721875
transcript.pyannote[3090].speaker SPEAKER_49
transcript.pyannote[3090].start 17912.70846875
transcript.pyannote[3090].end 17913.58596875
transcript.pyannote[3091].speaker SPEAKER_25
transcript.pyannote[3091].start 17914.19346875
transcript.pyannote[3091].end 17915.81346875
transcript.pyannote[3092].speaker SPEAKER_49
transcript.pyannote[3092].start 17915.42534375
transcript.pyannote[3092].end 17934.44346875
transcript.pyannote[3093].speaker SPEAKER_52
transcript.pyannote[3093].start 17929.39784375
transcript.pyannote[3093].end 17929.44846875
transcript.pyannote[3094].speaker SPEAKER_66
transcript.pyannote[3094].start 17929.44846875
transcript.pyannote[3094].end 17929.48221875
transcript.pyannote[3095].speaker SPEAKER_52
transcript.pyannote[3095].start 17929.48221875
transcript.pyannote[3095].end 17929.70159375
transcript.pyannote[3096].speaker SPEAKER_52
transcript.pyannote[3096].start 17930.91659375
transcript.pyannote[3096].end 17931.25409375
transcript.pyannote[3097].speaker SPEAKER_49
transcript.pyannote[3097].start 17934.73034375
transcript.pyannote[3097].end 17942.91471875
transcript.pyannote[3098].speaker SPEAKER_52
transcript.pyannote[3098].start 17938.56096875
transcript.pyannote[3098].end 17939.03346875
transcript.pyannote[3099].speaker SPEAKER_16
transcript.pyannote[3099].start 17939.03346875
transcript.pyannote[3099].end 17939.70846875
transcript.pyannote[3100].speaker SPEAKER_52
transcript.pyannote[3100].start 17939.70846875
transcript.pyannote[3100].end 17939.74221875
transcript.pyannote[3101].speaker SPEAKER_49
transcript.pyannote[3101].start 17943.48846875
transcript.pyannote[3101].end 17967.48471875
transcript.pyannote[3102].speaker SPEAKER_25
transcript.pyannote[3102].start 17965.47659375
transcript.pyannote[3102].end 17965.98284375
transcript.pyannote[3103].speaker SPEAKER_25
transcript.pyannote[3103].start 17967.48471875
transcript.pyannote[3103].end 17998.61909375
transcript.pyannote[3104].speaker SPEAKER_52
transcript.pyannote[3104].start 17982.26721875
transcript.pyannote[3104].end 17982.67221875
transcript.pyannote[3105].speaker SPEAKER_52
transcript.pyannote[3105].start 17986.30034375
transcript.pyannote[3105].end 17986.73909375
transcript.pyannote[3106].speaker SPEAKER_52
transcript.pyannote[3106].start 17988.71346875
transcript.pyannote[3106].end 17988.98346875
transcript.pyannote[3107].speaker SPEAKER_49
transcript.pyannote[3107].start 17992.39221875
transcript.pyannote[3107].end 17992.78034375
transcript.pyannote[3108].speaker SPEAKER_49
transcript.pyannote[3108].start 17993.32034375
transcript.pyannote[3108].end 17993.77596875
transcript.pyannote[3109].speaker SPEAKER_49
transcript.pyannote[3109].start 17999.00721875
transcript.pyannote[3109].end 18003.83346875
transcript.pyannote[3110].speaker SPEAKER_25
transcript.pyannote[3110].start 18003.00659375
transcript.pyannote[3110].end 18016.67534375
transcript.pyannote[3111].speaker SPEAKER_49
transcript.pyannote[3111].start 18010.54971875
transcript.pyannote[3111].end 18010.92096875
transcript.pyannote[3112].speaker SPEAKER_25
transcript.pyannote[3112].start 18016.96221875
transcript.pyannote[3112].end 18030.74909375
transcript.pyannote[3113].speaker SPEAKER_25
transcript.pyannote[3113].start 18031.17096875
transcript.pyannote[3113].end 18033.41534375
transcript.pyannote[3114].speaker SPEAKER_26
transcript.pyannote[3114].start 18032.68971875
transcript.pyannote[3114].end 18033.51659375
transcript.pyannote[3115].speaker SPEAKER_25
transcript.pyannote[3115].start 18034.00596875
transcript.pyannote[3115].end 18042.10596875
transcript.pyannote[3116].speaker SPEAKER_49
transcript.pyannote[3116].start 18041.09346875
transcript.pyannote[3116].end 18056.60159375
transcript.pyannote[3117].speaker SPEAKER_25
transcript.pyannote[3117].start 18046.22346875
transcript.pyannote[3117].end 18047.20221875
transcript.pyannote[3118].speaker SPEAKER_25
transcript.pyannote[3118].start 18049.46346875
transcript.pyannote[3118].end 18050.91471875
transcript.pyannote[3119].speaker SPEAKER_25
transcript.pyannote[3119].start 18055.65659375
transcript.pyannote[3119].end 18062.87909375
transcript.pyannote[3120].speaker SPEAKER_49
transcript.pyannote[3120].start 18062.33909375
transcript.pyannote[3120].end 18063.40221875
transcript.pyannote[3121].speaker SPEAKER_25
transcript.pyannote[3121].start 18063.40221875
transcript.pyannote[3121].end 18068.97096875
transcript.pyannote[3122].speaker SPEAKER_25
transcript.pyannote[3122].start 18069.00471875
transcript.pyannote[3122].end 18075.56909375
transcript.pyannote[3123].speaker SPEAKER_49
transcript.pyannote[3123].start 18069.08909375
transcript.pyannote[3123].end 18069.47721875
transcript.pyannote[3124].speaker SPEAKER_49
transcript.pyannote[3124].start 18073.25721875
transcript.pyannote[3124].end 18073.66221875
transcript.pyannote[3125].speaker SPEAKER_49
transcript.pyannote[3125].start 18075.73784375
transcript.pyannote[3125].end 18079.33221875
transcript.pyannote[3126].speaker SPEAKER_25
transcript.pyannote[3126].start 18077.66159375
transcript.pyannote[3126].end 18078.08346875
transcript.pyannote[3127].speaker SPEAKER_25
transcript.pyannote[3127].start 18079.33221875
transcript.pyannote[3127].end 18080.15909375
transcript.pyannote[3128].speaker SPEAKER_55
transcript.pyannote[3128].start 18080.26034375
transcript.pyannote[3128].end 18083.83784375
transcript.pyannote[3129].speaker SPEAKER_55
transcript.pyannote[3129].start 18085.44096875
transcript.pyannote[3129].end 18085.62659375
transcript.pyannote[3130].speaker SPEAKER_55
transcript.pyannote[3130].start 18088.03971875
transcript.pyannote[3130].end 18090.50346875
transcript.pyannote[3131].speaker SPEAKER_14
transcript.pyannote[3131].start 18100.69596875
transcript.pyannote[3131].end 18108.40784375
transcript.pyannote[3132].speaker SPEAKER_55
transcript.pyannote[3132].start 18104.18909375
transcript.pyannote[3132].end 18104.72909375
transcript.pyannote[3133].speaker SPEAKER_55
transcript.pyannote[3133].start 18108.62721875
transcript.pyannote[3133].end 18110.39909375
transcript.pyannote[3134].speaker SPEAKER_14
transcript.pyannote[3134].start 18109.55534375
transcript.pyannote[3134].end 18110.04471875
transcript.pyannote[3135].speaker SPEAKER_14
transcript.pyannote[3135].start 18118.36409375
transcript.pyannote[3135].end 18118.93784375
transcript.pyannote[3136].speaker SPEAKER_14
transcript.pyannote[3136].start 18119.46096875
transcript.pyannote[3136].end 18145.49909375
transcript.pyannote[3137].speaker SPEAKER_14
transcript.pyannote[3137].start 18145.98846875
transcript.pyannote[3137].end 18178.50659375
transcript.pyannote[3138].speaker SPEAKER_47
transcript.pyannote[3138].start 18179.01284375
transcript.pyannote[3138].end 18200.42721875
transcript.pyannote[3139].speaker SPEAKER_47
transcript.pyannote[3139].start 18200.71409375
transcript.pyannote[3139].end 18218.55096875
transcript.pyannote[3140].speaker SPEAKER_14
transcript.pyannote[3140].start 18218.61846875
transcript.pyannote[3140].end 18248.95971875
transcript.pyannote[3141].speaker SPEAKER_47
transcript.pyannote[3141].start 18219.73221875
transcript.pyannote[3141].end 18219.96846875
transcript.pyannote[3142].speaker SPEAKER_47
transcript.pyannote[3142].start 18220.66034375
transcript.pyannote[3142].end 18221.11596875
transcript.pyannote[3143].speaker SPEAKER_47
transcript.pyannote[3143].start 18224.28846875
transcript.pyannote[3143].end 18224.67659375
transcript.pyannote[3144].speaker SPEAKER_32
transcript.pyannote[3144].start 18224.67659375
transcript.pyannote[3144].end 18224.71034375
transcript.pyannote[3145].speaker SPEAKER_14
transcript.pyannote[3145].start 18249.34784375
transcript.pyannote[3145].end 18258.76409375
transcript.pyannote[3146].speaker SPEAKER_68
transcript.pyannote[3146].start 18259.13534375
transcript.pyannote[3146].end 18268.28159375
transcript.pyannote[3147].speaker SPEAKER_68
transcript.pyannote[3147].start 18268.34909375
transcript.pyannote[3147].end 18271.74096875
transcript.pyannote[3148].speaker SPEAKER_68
transcript.pyannote[3148].start 18271.94346875
transcript.pyannote[3148].end 18284.68409375
transcript.pyannote[3149].speaker SPEAKER_68
transcript.pyannote[3149].start 18284.73471875
transcript.pyannote[3149].end 18288.02534375
transcript.pyannote[3150].speaker SPEAKER_68
transcript.pyannote[3150].start 18288.04221875
transcript.pyannote[3150].end 18293.08784375
transcript.pyannote[3151].speaker SPEAKER_68
transcript.pyannote[3151].start 18293.29034375
transcript.pyannote[3151].end 18294.03284375
transcript.pyannote[3152].speaker SPEAKER_68
transcript.pyannote[3152].start 18294.23534375
transcript.pyannote[3152].end 18297.25596875
transcript.pyannote[3153].speaker SPEAKER_68
transcript.pyannote[3153].start 18297.55971875
transcript.pyannote[3153].end 18303.80346875
transcript.pyannote[3154].speaker SPEAKER_68
transcript.pyannote[3154].start 18304.17471875
transcript.pyannote[3154].end 18313.15221875
transcript.pyannote[3155].speaker SPEAKER_52
transcript.pyannote[3155].start 18306.72284375
transcript.pyannote[3155].end 18306.77346875
transcript.pyannote[3156].speaker SPEAKER_14
transcript.pyannote[3156].start 18306.77346875
transcript.pyannote[3156].end 18307.26284375
transcript.pyannote[3157].speaker SPEAKER_14
transcript.pyannote[3157].start 18311.98784375
transcript.pyannote[3157].end 18323.12534375
transcript.pyannote[3158].speaker SPEAKER_68
transcript.pyannote[3158].start 18319.41284375
transcript.pyannote[3158].end 18319.88534375
transcript.pyannote[3159].speaker SPEAKER_14
transcript.pyannote[3159].start 18323.88471875
transcript.pyannote[3159].end 18383.97659375
transcript.pyannote[3160].speaker SPEAKER_68
transcript.pyannote[3160].start 18384.36471875
transcript.pyannote[3160].end 18398.70846875
transcript.pyannote[3161].speaker SPEAKER_14
transcript.pyannote[3161].start 18397.29096875
transcript.pyannote[3161].end 18401.03721875
transcript.pyannote[3162].speaker SPEAKER_68
transcript.pyannote[3162].start 18399.09659375
transcript.pyannote[3162].end 18424.12221875
transcript.pyannote[3163].speaker SPEAKER_14
transcript.pyannote[3163].start 18424.32471875
transcript.pyannote[3163].end 18425.94471875
transcript.pyannote[3164].speaker SPEAKER_55
transcript.pyannote[3164].start 18427.04159375
transcript.pyannote[3164].end 18428.96534375
transcript.pyannote[3165].speaker SPEAKER_55
transcript.pyannote[3165].start 18430.28159375
transcript.pyannote[3165].end 18430.41659375
transcript.pyannote[3166].speaker SPEAKER_66
transcript.pyannote[3166].start 18430.41659375
transcript.pyannote[3166].end 18430.43346875
transcript.pyannote[3167].speaker SPEAKER_55
transcript.pyannote[3167].start 18430.43346875
transcript.pyannote[3167].end 18430.45034375
transcript.pyannote[3168].speaker SPEAKER_55
transcript.pyannote[3168].start 18433.09971875
transcript.pyannote[3168].end 18438.41534375
transcript.pyannote[3169].speaker SPEAKER_55
transcript.pyannote[3169].start 18438.49971875
transcript.pyannote[3169].end 18440.32221875
transcript.pyannote[3170].speaker SPEAKER_01
transcript.pyannote[3170].start 18446.11034375
transcript.pyannote[3170].end 18448.06784375
transcript.pyannote[3171].speaker SPEAKER_59
transcript.pyannote[3171].start 18448.60784375
transcript.pyannote[3171].end 18449.41784375
transcript.pyannote[3172].speaker SPEAKER_01
transcript.pyannote[3172].start 18451.62846875
transcript.pyannote[3172].end 18452.25284375
transcript.pyannote[3173].speaker SPEAKER_58
transcript.pyannote[3173].start 18452.25284375
transcript.pyannote[3173].end 18452.26971875
transcript.pyannote[3174].speaker SPEAKER_01
transcript.pyannote[3174].start 18466.61346875
transcript.pyannote[3174].end 18482.44221875
transcript.pyannote[3175].speaker SPEAKER_41
transcript.pyannote[3175].start 18482.59409375
transcript.pyannote[3175].end 18504.81846875
transcript.pyannote[3176].speaker SPEAKER_01
transcript.pyannote[3176].start 18504.81846875
transcript.pyannote[3176].end 18516.88409375
transcript.pyannote[3177].speaker SPEAKER_01
transcript.pyannote[3177].start 18517.27221875
transcript.pyannote[3177].end 18526.82346875
transcript.pyannote[3178].speaker SPEAKER_01
transcript.pyannote[3178].start 18527.11034375
transcript.pyannote[3178].end 18567.64409375
transcript.pyannote[3179].speaker SPEAKER_41
transcript.pyannote[3179].start 18554.81909375
transcript.pyannote[3179].end 18556.86096875
transcript.pyannote[3180].speaker SPEAKER_01
transcript.pyannote[3180].start 18568.13346875
transcript.pyannote[3180].end 18591.62346875
transcript.pyannote[3181].speaker SPEAKER_01
transcript.pyannote[3181].start 18591.87659375
transcript.pyannote[3181].end 18597.90096875
transcript.pyannote[3182].speaker SPEAKER_01
transcript.pyannote[3182].start 18598.20471875
transcript.pyannote[3182].end 18630.06471875
transcript.pyannote[3183].speaker SPEAKER_01
transcript.pyannote[3183].start 18630.36846875
transcript.pyannote[3183].end 18640.72971875
transcript.pyannote[3184].speaker SPEAKER_41
transcript.pyannote[3184].start 18640.72971875
transcript.pyannote[3184].end 18754.24784375
transcript.pyannote[3185].speaker SPEAKER_01
transcript.pyannote[3185].start 18754.31534375
transcript.pyannote[3185].end 18786.96846875
transcript.pyannote[3186].speaker SPEAKER_41
transcript.pyannote[3186].start 18786.14159375
transcript.pyannote[3186].end 18827.82284375
transcript.pyannote[3187].speaker SPEAKER_66
transcript.pyannote[3187].start 18793.27971875
transcript.pyannote[3187].end 18793.78596875
transcript.pyannote[3188].speaker SPEAKER_16
transcript.pyannote[3188].start 18802.25721875
transcript.pyannote[3188].end 18802.32471875
transcript.pyannote[3189].speaker SPEAKER_01
transcript.pyannote[3189].start 18828.16034375
transcript.pyannote[3189].end 18833.22284375
transcript.pyannote[3190].speaker SPEAKER_66
transcript.pyannote[3190].start 18833.22284375
transcript.pyannote[3190].end 18833.23971875
transcript.pyannote[3191].speaker SPEAKER_41
transcript.pyannote[3191].start 18833.42534375
transcript.pyannote[3191].end 18835.75409375
transcript.pyannote[3192].speaker SPEAKER_55
transcript.pyannote[3192].start 18835.41659375
transcript.pyannote[3192].end 18838.84221875
transcript.pyannote[3193].speaker SPEAKER_57
transcript.pyannote[3193].start 18839.73659375
transcript.pyannote[3193].end 18839.78721875
transcript.pyannote[3194].speaker SPEAKER_41
transcript.pyannote[3194].start 18839.78721875
transcript.pyannote[3194].end 18839.95596875
transcript.pyannote[3195].speaker SPEAKER_55
transcript.pyannote[3195].start 18841.18784375
transcript.pyannote[3195].end 18850.95846875
transcript.pyannote[3196].speaker SPEAKER_55
transcript.pyannote[3196].start 18851.36346875
transcript.pyannote[3196].end 18853.30409375
transcript.pyannote[3197].speaker SPEAKER_46
transcript.pyannote[3197].start 18860.88096875
transcript.pyannote[3197].end 18863.86784375
transcript.pyannote[3198].speaker SPEAKER_59
transcript.pyannote[3198].start 18863.81721875
transcript.pyannote[3198].end 18865.06596875
transcript.pyannote[3199].speaker SPEAKER_11
transcript.pyannote[3199].start 18876.15284375
transcript.pyannote[3199].end 18876.96284375
transcript.pyannote[3200].speaker SPEAKER_46
transcript.pyannote[3200].start 18876.92909375
transcript.pyannote[3200].end 19115.18721875
transcript.pyannote[3201].speaker SPEAKER_46
transcript.pyannote[3201].start 19115.54159375
transcript.pyannote[3201].end 19120.24971875
transcript.pyannote[3202].speaker SPEAKER_46
transcript.pyannote[3202].start 19121.04284375
transcript.pyannote[3202].end 19148.27909375
transcript.pyannote[3203].speaker SPEAKER_46
transcript.pyannote[3203].start 19149.37596875
transcript.pyannote[3203].end 19151.55284375
transcript.pyannote[3204].speaker SPEAKER_11
transcript.pyannote[3204].start 19151.85659375
transcript.pyannote[3204].end 19152.73409375
transcript.pyannote[3205].speaker SPEAKER_11
transcript.pyannote[3205].start 19152.97034375
transcript.pyannote[3205].end 19157.62784375
transcript.pyannote[3206].speaker SPEAKER_46
transcript.pyannote[3206].start 19158.75846875
transcript.pyannote[3206].end 19177.08471875
transcript.pyannote[3207].speaker SPEAKER_11
transcript.pyannote[3207].start 19158.87659375
transcript.pyannote[3207].end 19160.39534375
transcript.pyannote[3208].speaker SPEAKER_11
transcript.pyannote[3208].start 19163.07846875
transcript.pyannote[3208].end 19165.06971875
transcript.pyannote[3209].speaker SPEAKER_11
transcript.pyannote[3209].start 19177.52346875
transcript.pyannote[3209].end 19202.05971875
transcript.pyannote[3210].speaker SPEAKER_46
transcript.pyannote[3210].start 19202.02596875
transcript.pyannote[3210].end 19253.41034375
transcript.pyannote[3211].speaker SPEAKER_11
transcript.pyannote[3211].start 19255.01346875
transcript.pyannote[3211].end 19258.08471875
transcript.pyannote[3212].speaker SPEAKER_55
transcript.pyannote[3212].start 19255.41846875
transcript.pyannote[3212].end 19255.50284375
transcript.pyannote[3213].speaker SPEAKER_46
transcript.pyannote[3213].start 19255.50284375
transcript.pyannote[3213].end 19256.05971875
transcript.pyannote[3214].speaker SPEAKER_55
transcript.pyannote[3214].start 19256.05971875
transcript.pyannote[3214].end 19256.46471875
transcript.pyannote[3215].speaker SPEAKER_55
transcript.pyannote[3215].start 19258.67534375
transcript.pyannote[3215].end 19263.06284375
transcript.pyannote[3216].speaker SPEAKER_11
transcript.pyannote[3216].start 19262.26971875
transcript.pyannote[3216].end 19268.73284375
transcript.pyannote[3217].speaker SPEAKER_55
transcript.pyannote[3217].start 19265.93159375
transcript.pyannote[3217].end 19266.16784375
transcript.pyannote[3218].speaker SPEAKER_55
transcript.pyannote[3218].start 19266.80909375
transcript.pyannote[3218].end 19268.15909375
transcript.pyannote[3219].speaker SPEAKER_46
transcript.pyannote[3219].start 19268.15909375
transcript.pyannote[3219].end 19272.34409375
transcript.pyannote[3220].speaker SPEAKER_11
transcript.pyannote[3220].start 19270.33596875
transcript.pyannote[3220].end 19270.50471875
transcript.pyannote[3221].speaker SPEAKER_11
transcript.pyannote[3221].start 19272.05721875
transcript.pyannote[3221].end 19274.14971875
transcript.pyannote[3222].speaker SPEAKER_11
transcript.pyannote[3222].start 19275.39846875
transcript.pyannote[3222].end 19299.91784375
transcript.pyannote[3223].speaker SPEAKER_46
transcript.pyannote[3223].start 19299.81659375
transcript.pyannote[3223].end 19316.26971875
transcript.pyannote[3224].speaker SPEAKER_11
transcript.pyannote[3224].start 19303.49534375
transcript.pyannote[3224].end 19304.67659375
transcript.pyannote[3225].speaker SPEAKER_11
transcript.pyannote[3225].start 19313.11409375
transcript.pyannote[3225].end 19319.96534375
transcript.pyannote[3226].speaker SPEAKER_55
transcript.pyannote[3226].start 19318.96971875
transcript.pyannote[3226].end 19319.10471875
transcript.pyannote[3227].speaker SPEAKER_46
transcript.pyannote[3227].start 19319.10471875
transcript.pyannote[3227].end 19323.00284375
transcript.pyannote[3228].speaker SPEAKER_55
transcript.pyannote[3228].start 19319.96534375
transcript.pyannote[3228].end 19320.37034375
transcript.pyannote[3229].speaker SPEAKER_11
transcript.pyannote[3229].start 19321.43346875
transcript.pyannote[3229].end 19321.45034375
transcript.pyannote[3230].speaker SPEAKER_55
transcript.pyannote[3230].start 19321.45034375
transcript.pyannote[3230].end 19321.80471875
transcript.pyannote[3231].speaker SPEAKER_55
transcript.pyannote[3231].start 19322.73284375
transcript.pyannote[3231].end 19330.14096875
transcript.pyannote[3232].speaker SPEAKER_11
transcript.pyannote[3232].start 19329.51659375
transcript.pyannote[3232].end 19333.97159375
transcript.pyannote[3233].speaker SPEAKER_55
transcript.pyannote[3233].start 19330.64721875
transcript.pyannote[3233].end 19330.83284375
transcript.pyannote[3234].speaker SPEAKER_55
transcript.pyannote[3234].start 19333.97159375
transcript.pyannote[3234].end 19335.42284375
transcript.pyannote[3235].speaker SPEAKER_11
transcript.pyannote[3235].start 19334.00534375
transcript.pyannote[3235].end 19334.03909375
transcript.pyannote[3236].speaker SPEAKER_11
transcript.pyannote[3236].start 19334.84909375
transcript.pyannote[3236].end 19335.23721875
transcript.pyannote[3237].speaker SPEAKER_46
transcript.pyannote[3237].start 19335.76034375
transcript.pyannote[3237].end 19337.43096875
transcript.pyannote[3238].speaker SPEAKER_55
transcript.pyannote[3238].start 19337.19471875
transcript.pyannote[3238].end 19340.31659375
transcript.pyannote[3239].speaker SPEAKER_55
transcript.pyannote[3239].start 19341.17721875
transcript.pyannote[3239].end 19343.69159375
transcript.pyannote[3240].speaker SPEAKER_55
transcript.pyannote[3240].start 19344.04596875
transcript.pyannote[3240].end 19347.96096875
transcript.pyannote[3241].speaker SPEAKER_55
transcript.pyannote[3241].start 19348.43346875
transcript.pyannote[3241].end 19350.76221875
transcript.pyannote[3242].speaker SPEAKER_00
transcript.pyannote[3242].start 19362.27096875
transcript.pyannote[3242].end 19367.48534375
transcript.pyannote[3243].speaker SPEAKER_57
transcript.pyannote[3243].start 19367.40096875
transcript.pyannote[3243].end 19370.60721875
transcript.pyannote[3244].speaker SPEAKER_00
transcript.pyannote[3244].start 19367.60346875
transcript.pyannote[3244].end 19367.65409375
transcript.pyannote[3245].speaker SPEAKER_00
transcript.pyannote[3245].start 19367.78909375
transcript.pyannote[3245].end 19367.85659375
transcript.pyannote[3246].speaker SPEAKER_57
transcript.pyannote[3246].start 19371.85596875
transcript.pyannote[3246].end 19373.32409375
transcript.pyannote[3247].speaker SPEAKER_39
transcript.pyannote[3247].start 19388.29221875
transcript.pyannote[3247].end 19388.96721875
transcript.pyannote[3248].speaker SPEAKER_51
transcript.pyannote[3248].start 19389.37221875
transcript.pyannote[3248].end 19435.72784375
transcript.pyannote[3249].speaker SPEAKER_39
transcript.pyannote[3249].start 19393.92846875
transcript.pyannote[3249].end 19394.26596875
transcript.pyannote[3250].speaker SPEAKER_52
transcript.pyannote[3250].start 19394.26596875
transcript.pyannote[3250].end 19394.41784375
transcript.pyannote[3251].speaker SPEAKER_39
transcript.pyannote[3251].start 19396.29096875
transcript.pyannote[3251].end 19396.78034375
transcript.pyannote[3252].speaker SPEAKER_39
transcript.pyannote[3252].start 19436.08221875
transcript.pyannote[3252].end 19440.06471875
transcript.pyannote[3253].speaker SPEAKER_39
transcript.pyannote[3253].start 19440.26721875
transcript.pyannote[3253].end 19443.05159375
transcript.pyannote[3254].speaker SPEAKER_16
transcript.pyannote[3254].start 19443.05159375
transcript.pyannote[3254].end 19443.50721875
transcript.pyannote[3255].speaker SPEAKER_39
transcript.pyannote[3255].start 19443.38909375
transcript.pyannote[3255].end 19482.62346875
transcript.pyannote[3256].speaker SPEAKER_51
transcript.pyannote[3256].start 19482.94409375
transcript.pyannote[3256].end 19500.20721875
transcript.pyannote[3257].speaker SPEAKER_39
transcript.pyannote[3257].start 19499.51534375
transcript.pyannote[3257].end 19501.52346875
transcript.pyannote[3258].speaker SPEAKER_51
transcript.pyannote[3258].start 19501.52346875
transcript.pyannote[3258].end 19526.88659375
transcript.pyannote[3259].speaker SPEAKER_39
transcript.pyannote[3259].start 19527.00471875
transcript.pyannote[3259].end 19547.47409375
transcript.pyannote[3260].speaker SPEAKER_51
transcript.pyannote[3260].start 19528.86096875
transcript.pyannote[3260].end 19529.21534375
transcript.pyannote[3261].speaker SPEAKER_51
transcript.pyannote[3261].start 19531.45971875
transcript.pyannote[3261].end 19531.91534375
transcript.pyannote[3262].speaker SPEAKER_52
transcript.pyannote[3262].start 19538.00721875
transcript.pyannote[3262].end 19538.02409375
transcript.pyannote[3263].speaker SPEAKER_16
transcript.pyannote[3263].start 19538.02409375
transcript.pyannote[3263].end 19538.56409375
transcript.pyannote[3264].speaker SPEAKER_16
transcript.pyannote[3264].start 19545.87096875
transcript.pyannote[3264].end 19546.24221875
transcript.pyannote[3265].speaker SPEAKER_16
transcript.pyannote[3265].start 19547.47409375
transcript.pyannote[3265].end 19547.92971875
transcript.pyannote[3266].speaker SPEAKER_39
transcript.pyannote[3266].start 19547.71034375
transcript.pyannote[3266].end 19580.56596875
transcript.pyannote[3267].speaker SPEAKER_16
transcript.pyannote[3267].start 19580.56596875
transcript.pyannote[3267].end 19581.00471875
transcript.pyannote[3268].speaker SPEAKER_39
transcript.pyannote[3268].start 19581.00471875
transcript.pyannote[3268].end 19590.35346875
transcript.pyannote[3269].speaker SPEAKER_39
transcript.pyannote[3269].start 19590.60659375
transcript.pyannote[3269].end 19591.82159375
transcript.pyannote[3270].speaker SPEAKER_39
transcript.pyannote[3270].start 19592.15909375
transcript.pyannote[3270].end 19595.50034375
transcript.pyannote[3271].speaker SPEAKER_39
transcript.pyannote[3271].start 19595.78721875
transcript.pyannote[3271].end 19600.30971875
transcript.pyannote[3272].speaker SPEAKER_39
transcript.pyannote[3272].start 19600.51221875
transcript.pyannote[3272].end 19602.30096875
transcript.pyannote[3273].speaker SPEAKER_39
transcript.pyannote[3273].start 19602.57096875
transcript.pyannote[3273].end 19632.40596875
transcript.pyannote[3274].speaker SPEAKER_66
transcript.pyannote[3274].start 19618.19721875
transcript.pyannote[3274].end 19618.97346875
transcript.pyannote[3275].speaker SPEAKER_51
transcript.pyannote[3275].start 19618.97346875
transcript.pyannote[3275].end 19619.96909375
transcript.pyannote[3276].speaker SPEAKER_16
transcript.pyannote[3276].start 19619.96909375
transcript.pyannote[3276].end 19620.61034375
transcript.pyannote[3277].speaker SPEAKER_51
transcript.pyannote[3277].start 19632.60846875
transcript.pyannote[3277].end 19675.53846875
transcript.pyannote[3278].speaker SPEAKER_39
transcript.pyannote[3278].start 19676.09534375
transcript.pyannote[3278].end 19706.74034375
transcript.pyannote[3279].speaker SPEAKER_52
transcript.pyannote[3279].start 19688.43096875
transcript.pyannote[3279].end 19689.07221875
transcript.pyannote[3280].speaker SPEAKER_52
transcript.pyannote[3280].start 19690.60784375
transcript.pyannote[3280].end 19691.14784375
transcript.pyannote[3281].speaker SPEAKER_52
transcript.pyannote[3281].start 19695.70409375
transcript.pyannote[3281].end 19696.22721875
transcript.pyannote[3282].speaker SPEAKER_51
transcript.pyannote[3282].start 19698.48846875
transcript.pyannote[3282].end 19699.02846875
transcript.pyannote[3283].speaker SPEAKER_51
transcript.pyannote[3283].start 19701.47534375
transcript.pyannote[3283].end 19701.62721875
transcript.pyannote[3284].speaker SPEAKER_51
transcript.pyannote[3284].start 19706.23409375
transcript.pyannote[3284].end 19708.07346875
transcript.pyannote[3285].speaker SPEAKER_39
transcript.pyannote[3285].start 19707.21284375
transcript.pyannote[3285].end 19731.04034375
transcript.pyannote[3286].speaker SPEAKER_51
transcript.pyannote[3286].start 19708.22534375
transcript.pyannote[3286].end 19708.91721875
transcript.pyannote[3287].speaker SPEAKER_51
transcript.pyannote[3287].start 19710.18284375
transcript.pyannote[3287].end 19710.65534375
transcript.pyannote[3288].speaker SPEAKER_66
transcript.pyannote[3288].start 19710.65534375
transcript.pyannote[3288].end 19710.67221875
transcript.pyannote[3289].speaker SPEAKER_51
transcript.pyannote[3289].start 19713.47346875
transcript.pyannote[3289].end 19713.96284375
transcript.pyannote[3290].speaker SPEAKER_66
transcript.pyannote[3290].start 19713.96284375
transcript.pyannote[3290].end 19713.97971875
transcript.pyannote[3291].speaker SPEAKER_51
transcript.pyannote[3291].start 19713.97971875
transcript.pyannote[3291].end 19714.01346875
transcript.pyannote[3292].speaker SPEAKER_66
transcript.pyannote[3292].start 19714.01346875
transcript.pyannote[3292].end 19714.06409375
transcript.pyannote[3293].speaker SPEAKER_66
transcript.pyannote[3293].start 19714.67159375
transcript.pyannote[3293].end 19715.29596875
transcript.pyannote[3294].speaker SPEAKER_51
transcript.pyannote[3294].start 19728.22221875
transcript.pyannote[3294].end 19728.77909375
transcript.pyannote[3295].speaker SPEAKER_51
transcript.pyannote[3295].start 19730.85471875
transcript.pyannote[3295].end 19734.16221875
transcript.pyannote[3296].speaker SPEAKER_39
transcript.pyannote[3296].start 19733.58846875
transcript.pyannote[3296].end 19744.11846875
transcript.pyannote[3297].speaker SPEAKER_51
transcript.pyannote[3297].start 19736.67659375
transcript.pyannote[3297].end 19737.04784375
transcript.pyannote[3298].speaker SPEAKER_51
transcript.pyannote[3298].start 19738.26284375
transcript.pyannote[3298].end 19738.29659375
transcript.pyannote[3299].speaker SPEAKER_51
transcript.pyannote[3299].start 19744.11846875
transcript.pyannote[3299].end 19772.55284375
transcript.pyannote[3300].speaker SPEAKER_39
transcript.pyannote[3300].start 19744.47284375
transcript.pyannote[3300].end 19745.35034375
transcript.pyannote[3301].speaker SPEAKER_39
transcript.pyannote[3301].start 19770.71346875
transcript.pyannote[3301].end 19777.69971875
transcript.pyannote[3302].speaker SPEAKER_51
transcript.pyannote[3302].start 19777.32846875
transcript.pyannote[3302].end 19777.78409375
transcript.pyannote[3303].speaker SPEAKER_39
transcript.pyannote[3303].start 19777.78409375
transcript.pyannote[3303].end 19780.33221875
transcript.pyannote[3304].speaker SPEAKER_51
transcript.pyannote[3304].start 19780.77096875
transcript.pyannote[3304].end 19782.96471875
transcript.pyannote[3305].speaker SPEAKER_55
transcript.pyannote[3305].start 19782.07034375
transcript.pyannote[3305].end 19786.49159375
transcript.pyannote[3306].speaker SPEAKER_55
transcript.pyannote[3306].start 19786.84596875
transcript.pyannote[3306].end 19787.92596875
transcript.pyannote[3307].speaker SPEAKER_55
transcript.pyannote[3307].start 19789.46159375
transcript.pyannote[3307].end 19790.60909375
transcript.pyannote[3308].speaker SPEAKER_55
transcript.pyannote[3308].start 19791.82409375
transcript.pyannote[3308].end 19795.33409375
transcript.pyannote[3309].speaker SPEAKER_55
transcript.pyannote[3309].start 19795.53659375
transcript.pyannote[3309].end 19797.08909375
transcript.pyannote[3310].speaker SPEAKER_55
transcript.pyannote[3310].start 19798.96221875
transcript.pyannote[3310].end 19799.06346875
transcript.pyannote[3311].speaker SPEAKER_55
transcript.pyannote[3311].start 19799.13096875
transcript.pyannote[3311].end 19799.89034375
transcript.pyannote[3312].speaker SPEAKER_55
transcript.pyannote[3312].start 19799.99159375
transcript.pyannote[3312].end 19807.53471875
transcript.pyannote[3313].speaker SPEAKER_55
transcript.pyannote[3313].start 19809.39096875
transcript.pyannote[3313].end 19812.00659375
transcript.pyannote[3314].speaker SPEAKER_57
transcript.pyannote[3314].start 19818.55409375
transcript.pyannote[3314].end 19819.66784375
transcript.pyannote[3315].speaker SPEAKER_60
transcript.pyannote[3315].start 19837.55534375
transcript.pyannote[3315].end 19838.02784375
transcript.pyannote[3316].speaker SPEAKER_55
transcript.pyannote[3316].start 19838.02784375
transcript.pyannote[3316].end 19840.32284375
transcript.pyannote[3317].speaker SPEAKER_55
transcript.pyannote[3317].start 19840.50846875
transcript.pyannote[3317].end 19843.24221875
transcript.pyannote[3318].speaker SPEAKER_60
transcript.pyannote[3318].start 19848.10221875
transcript.pyannote[3318].end 19848.69284375
transcript.pyannote[3319].speaker SPEAKER_60
transcript.pyannote[3319].start 19849.99221875
transcript.pyannote[3319].end 19860.08346875
transcript.pyannote[3320].speaker SPEAKER_66
transcript.pyannote[3320].start 19855.12221875
transcript.pyannote[3320].end 19855.39221875
transcript.pyannote[3321].speaker SPEAKER_52
transcript.pyannote[3321].start 19855.39221875
transcript.pyannote[3321].end 19855.45971875
transcript.pyannote[3322].speaker SPEAKER_66
transcript.pyannote[3322].start 19857.72096875
transcript.pyannote[3322].end 19858.29471875
transcript.pyannote[3323].speaker SPEAKER_60
transcript.pyannote[3323].start 19860.53909375
transcript.pyannote[3323].end 19877.63346875
transcript.pyannote[3324].speaker SPEAKER_52
transcript.pyannote[3324].start 19860.64034375
transcript.pyannote[3324].end 19860.67409375
transcript.pyannote[3325].speaker SPEAKER_08
transcript.pyannote[3325].start 19860.67409375
transcript.pyannote[3325].end 19862.22659375
transcript.pyannote[3326].speaker SPEAKER_08
transcript.pyannote[3326].start 19862.51346875
transcript.pyannote[3326].end 19862.96909375
transcript.pyannote[3327].speaker SPEAKER_08
transcript.pyannote[3327].start 19867.91346875
transcript.pyannote[3327].end 19868.13284375
transcript.pyannote[3328].speaker SPEAKER_08
transcript.pyannote[3328].start 19870.73159375
transcript.pyannote[3328].end 19870.76534375
transcript.pyannote[3329].speaker SPEAKER_08
transcript.pyannote[3329].start 19873.66784375
transcript.pyannote[3329].end 19874.05596875
transcript.pyannote[3330].speaker SPEAKER_08
transcript.pyannote[3330].start 19875.91221875
transcript.pyannote[3330].end 19876.03034375
transcript.pyannote[3331].speaker SPEAKER_08
transcript.pyannote[3331].start 19877.85284375
transcript.pyannote[3331].end 19879.62471875
transcript.pyannote[3332].speaker SPEAKER_08
transcript.pyannote[3332].start 19879.67534375
transcript.pyannote[3332].end 19883.53971875
transcript.pyannote[3333].speaker SPEAKER_60
transcript.pyannote[3333].start 19883.84346875
transcript.pyannote[3333].end 19886.13846875
transcript.pyannote[3334].speaker SPEAKER_60
transcript.pyannote[3334].start 19886.67846875
transcript.pyannote[3334].end 19895.92596875
transcript.pyannote[3335].speaker SPEAKER_08
transcript.pyannote[3335].start 19890.77909375
transcript.pyannote[3335].end 19891.69034375
transcript.pyannote[3336].speaker SPEAKER_60
transcript.pyannote[3336].start 19896.21284375
transcript.pyannote[3336].end 19900.49909375
transcript.pyannote[3337].speaker SPEAKER_08
transcript.pyannote[3337].start 19899.36846875
transcript.pyannote[3337].end 19899.46971875
transcript.pyannote[3338].speaker SPEAKER_60
transcript.pyannote[3338].start 19900.83659375
transcript.pyannote[3338].end 19903.62096875
transcript.pyannote[3339].speaker SPEAKER_08
transcript.pyannote[3339].start 19902.52409375
transcript.pyannote[3339].end 19907.94096875
transcript.pyannote[3340].speaker SPEAKER_60
transcript.pyannote[3340].start 19905.03846875
transcript.pyannote[3340].end 19905.37596875
transcript.pyannote[3341].speaker SPEAKER_60
transcript.pyannote[3341].start 19906.74284375
transcript.pyannote[3341].end 19907.04659375
transcript.pyannote[3342].speaker SPEAKER_60
transcript.pyannote[3342].start 19907.85659375
transcript.pyannote[3342].end 19913.44221875
transcript.pyannote[3343].speaker SPEAKER_08
transcript.pyannote[3343].start 19909.44284375
transcript.pyannote[3343].end 19909.81409375
transcript.pyannote[3344].speaker SPEAKER_08
transcript.pyannote[3344].start 19911.41721875
transcript.pyannote[3344].end 19911.72096875
transcript.pyannote[3345].speaker SPEAKER_08
transcript.pyannote[3345].start 19911.75471875
transcript.pyannote[3345].end 19912.12596875
transcript.pyannote[3346].speaker SPEAKER_08
transcript.pyannote[3346].start 19912.17659375
transcript.pyannote[3346].end 19912.86846875
transcript.pyannote[3347].speaker SPEAKER_08
transcript.pyannote[3347].start 19913.44221875
transcript.pyannote[3347].end 19913.96534375
transcript.pyannote[3348].speaker SPEAKER_60
transcript.pyannote[3348].start 19913.96534375
transcript.pyannote[3348].end 19917.81284375
transcript.pyannote[3349].speaker SPEAKER_08
transcript.pyannote[3349].start 19913.98221875
transcript.pyannote[3349].end 19914.35346875
transcript.pyannote[3350].speaker SPEAKER_60
transcript.pyannote[3350].start 19919.29784375
transcript.pyannote[3350].end 19921.12034375
transcript.pyannote[3351].speaker SPEAKER_60
transcript.pyannote[3351].start 19922.26784375
transcript.pyannote[3351].end 19923.41534375
transcript.pyannote[3352].speaker SPEAKER_60
transcript.pyannote[3352].start 19924.54596875
transcript.pyannote[3352].end 19926.08159375
transcript.pyannote[3353].speaker SPEAKER_60
transcript.pyannote[3353].start 19927.43159375
transcript.pyannote[3353].end 19929.82784375
transcript.pyannote[3354].speaker SPEAKER_60
transcript.pyannote[3354].start 19930.31721875
transcript.pyannote[3354].end 19931.34659375
transcript.pyannote[3355].speaker SPEAKER_60
transcript.pyannote[3355].start 19932.62909375
transcript.pyannote[3355].end 19933.91159375
transcript.pyannote[3356].speaker SPEAKER_08
transcript.pyannote[3356].start 19934.21534375
transcript.pyannote[3356].end 19935.66659375
transcript.pyannote[3357].speaker SPEAKER_60
transcript.pyannote[3357].start 19934.92409375
transcript.pyannote[3357].end 19936.81409375
transcript.pyannote[3358].speaker SPEAKER_08
transcript.pyannote[3358].start 19937.06721875
transcript.pyannote[3358].end 19939.96971875
transcript.pyannote[3359].speaker SPEAKER_60
transcript.pyannote[3359].start 19939.96971875
transcript.pyannote[3359].end 19944.37409375
transcript.pyannote[3360].speaker SPEAKER_60
transcript.pyannote[3360].start 19944.69471875
transcript.pyannote[3360].end 19945.38659375
transcript.pyannote[3361].speaker SPEAKER_60
transcript.pyannote[3361].start 19945.84221875
transcript.pyannote[3361].end 19947.81659375
transcript.pyannote[3362].speaker SPEAKER_60
transcript.pyannote[3362].start 19948.74471875
transcript.pyannote[3362].end 19950.78659375
transcript.pyannote[3363].speaker SPEAKER_60
transcript.pyannote[3363].start 19951.64721875
transcript.pyannote[3363].end 19953.25034375
transcript.pyannote[3364].speaker SPEAKER_60
transcript.pyannote[3364].start 19954.26284375
transcript.pyannote[3364].end 19956.03471875
transcript.pyannote[3365].speaker SPEAKER_60
transcript.pyannote[3365].start 19956.60846875
transcript.pyannote[3365].end 19957.90784375
transcript.pyannote[3366].speaker SPEAKER_60
transcript.pyannote[3366].start 19958.59971875
transcript.pyannote[3366].end 19962.88596875
transcript.pyannote[3367].speaker SPEAKER_60
transcript.pyannote[3367].start 19963.61159375
transcript.pyannote[3367].end 19967.03721875
transcript.pyannote[3368].speaker SPEAKER_60
transcript.pyannote[3368].start 19967.42534375
transcript.pyannote[3368].end 19969.61909375
transcript.pyannote[3369].speaker SPEAKER_60
transcript.pyannote[3369].start 19969.97346875
transcript.pyannote[3369].end 19972.31909375
transcript.pyannote[3370].speaker SPEAKER_60
transcript.pyannote[3370].start 19973.19659375
transcript.pyannote[3370].end 19974.36096875
transcript.pyannote[3371].speaker SPEAKER_60
transcript.pyannote[3371].start 19975.17096875
transcript.pyannote[3371].end 19975.82909375
transcript.pyannote[3372].speaker SPEAKER_60
transcript.pyannote[3372].start 19975.94721875
transcript.pyannote[3372].end 19977.29721875
transcript.pyannote[3373].speaker SPEAKER_08
transcript.pyannote[3373].start 19977.92159375
transcript.pyannote[3373].end 19978.30971875
transcript.pyannote[3374].speaker SPEAKER_60
transcript.pyannote[3374].start 19978.29284375
transcript.pyannote[3374].end 19981.09409375
transcript.pyannote[3375].speaker SPEAKER_60
transcript.pyannote[3375].start 19981.75221875
transcript.pyannote[3375].end 19983.77721875
transcript.pyannote[3376].speaker SPEAKER_60
transcript.pyannote[3376].start 19984.30034375
transcript.pyannote[3376].end 19985.78534375
transcript.pyannote[3377].speaker SPEAKER_08
transcript.pyannote[3377].start 19985.78534375
transcript.pyannote[3377].end 19985.88659375
transcript.pyannote[3378].speaker SPEAKER_66
transcript.pyannote[3378].start 19986.61221875
transcript.pyannote[3378].end 19987.35471875
transcript.pyannote[3379].speaker SPEAKER_60
transcript.pyannote[3379].start 19986.69659375
transcript.pyannote[3379].end 19986.73034375
transcript.pyannote[3380].speaker SPEAKER_08
transcript.pyannote[3380].start 19986.73034375
transcript.pyannote[3380].end 20004.48284375
transcript.pyannote[3381].speaker SPEAKER_66
transcript.pyannote[3381].start 19988.40096875
transcript.pyannote[3381].end 19988.90721875
transcript.pyannote[3382].speaker SPEAKER_08
transcript.pyannote[3382].start 20004.95534375
transcript.pyannote[3382].end 20005.20846875
transcript.pyannote[3383].speaker SPEAKER_60
transcript.pyannote[3383].start 20005.20846875
transcript.pyannote[3383].end 20007.68909375
transcript.pyannote[3384].speaker SPEAKER_60
transcript.pyannote[3384].start 20008.16159375
transcript.pyannote[3384].end 20010.99659375
transcript.pyannote[3385].speaker SPEAKER_60
transcript.pyannote[3385].start 20011.35096875
transcript.pyannote[3385].end 20016.76784375
transcript.pyannote[3386].speaker SPEAKER_60
transcript.pyannote[3386].start 20017.67909375
transcript.pyannote[3386].end 20025.12096875
transcript.pyannote[3387].speaker SPEAKER_60
transcript.pyannote[3387].start 20025.77909375
transcript.pyannote[3387].end 20031.02721875
transcript.pyannote[3388].speaker SPEAKER_60
transcript.pyannote[3388].start 20031.39846875
transcript.pyannote[3388].end 20032.93409375
transcript.pyannote[3389].speaker SPEAKER_60
transcript.pyannote[3389].start 20033.57534375
transcript.pyannote[3389].end 20044.69596875
transcript.pyannote[3390].speaker SPEAKER_60
transcript.pyannote[3390].start 20045.69159375
transcript.pyannote[3390].end 20051.37846875
transcript.pyannote[3391].speaker SPEAKER_60
transcript.pyannote[3391].start 20052.74534375
transcript.pyannote[3391].end 20053.80846875
transcript.pyannote[3392].speaker SPEAKER_60
transcript.pyannote[3392].start 20054.06159375
transcript.pyannote[3392].end 20056.67721875
transcript.pyannote[3393].speaker SPEAKER_60
transcript.pyannote[3393].start 20057.09909375
transcript.pyannote[3393].end 20058.98909375
transcript.pyannote[3394].speaker SPEAKER_08
transcript.pyannote[3394].start 20059.74846875
transcript.pyannote[3394].end 20062.00971875
transcript.pyannote[3395].speaker SPEAKER_60
transcript.pyannote[3395].start 20060.01846875
transcript.pyannote[3395].end 20067.19034375
transcript.pyannote[3396].speaker SPEAKER_60
transcript.pyannote[3396].start 20067.46034375
transcript.pyannote[3396].end 20069.46846875
transcript.pyannote[3397].speaker SPEAKER_60
transcript.pyannote[3397].start 20070.09284375
transcript.pyannote[3397].end 20074.36221875
transcript.pyannote[3398].speaker SPEAKER_60
transcript.pyannote[3398].start 20075.05409375
transcript.pyannote[3398].end 20081.77034375
transcript.pyannote[3399].speaker SPEAKER_61
transcript.pyannote[3399].start 20075.10471875
transcript.pyannote[3399].end 20075.96534375
transcript.pyannote[3400].speaker SPEAKER_61
transcript.pyannote[3400].start 20077.41659375
transcript.pyannote[3400].end 20077.45034375
transcript.pyannote[3401].speaker SPEAKER_08
transcript.pyannote[3401].start 20077.45034375
transcript.pyannote[3401].end 20078.49659375
transcript.pyannote[3402].speaker SPEAKER_60
transcript.pyannote[3402].start 20082.19221875
transcript.pyannote[3402].end 20085.26346875
transcript.pyannote[3403].speaker SPEAKER_60
transcript.pyannote[3403].start 20085.53346875
transcript.pyannote[3403].end 20095.01721875
transcript.pyannote[3404].speaker SPEAKER_08
transcript.pyannote[3404].start 20093.00909375
transcript.pyannote[3404].end 20109.83346875
transcript.pyannote[3405].speaker SPEAKER_60
transcript.pyannote[3405].start 20097.54846875
transcript.pyannote[3405].end 20099.64096875
transcript.pyannote[3406].speaker SPEAKER_24
transcript.pyannote[3406].start 20099.64096875
transcript.pyannote[3406].end 20099.89409375
transcript.pyannote[3407].speaker SPEAKER_60
transcript.pyannote[3407].start 20103.16784375
transcript.pyannote[3407].end 20107.06596875
transcript.pyannote[3408].speaker SPEAKER_60
transcript.pyannote[3408].start 20108.60159375
transcript.pyannote[3408].end 20109.71534375
transcript.pyannote[3409].speaker SPEAKER_01
transcript.pyannote[3409].start 20109.71534375
transcript.pyannote[3409].end 20109.73221875
transcript.pyannote[3410].speaker SPEAKER_08
transcript.pyannote[3410].start 20110.27221875
transcript.pyannote[3410].end 20115.97596875
transcript.pyannote[3411].speaker SPEAKER_60
transcript.pyannote[3411].start 20113.61346875
transcript.pyannote[3411].end 20114.10284375
transcript.pyannote[3412].speaker SPEAKER_60
transcript.pyannote[3412].start 20115.97596875
transcript.pyannote[3412].end 20125.05471875
transcript.pyannote[3413].speaker SPEAKER_08
transcript.pyannote[3413].start 20116.24596875
transcript.pyannote[3413].end 20116.29659375
transcript.pyannote[3414].speaker SPEAKER_08
transcript.pyannote[3414].start 20116.58346875
transcript.pyannote[3414].end 20116.66784375
transcript.pyannote[3415].speaker SPEAKER_08
transcript.pyannote[3415].start 20117.24159375
transcript.pyannote[3415].end 20117.42721875
transcript.pyannote[3416].speaker SPEAKER_08
transcript.pyannote[3416].start 20120.68409375
transcript.pyannote[3416].end 20121.81471875
transcript.pyannote[3417].speaker SPEAKER_08
transcript.pyannote[3417].start 20125.05471875
transcript.pyannote[3417].end 20125.30784375
transcript.pyannote[3418].speaker SPEAKER_60
transcript.pyannote[3418].start 20125.30784375
transcript.pyannote[3418].end 20131.95659375
transcript.pyannote[3419].speaker SPEAKER_60
transcript.pyannote[3419].start 20132.42909375
transcript.pyannote[3419].end 20136.88409375
transcript.pyannote[3420].speaker SPEAKER_60
transcript.pyannote[3420].start 20137.60971875
transcript.pyannote[3420].end 20138.53784375
transcript.pyannote[3421].speaker SPEAKER_60
transcript.pyannote[3421].start 20138.97659375
transcript.pyannote[3421].end 20148.27471875
transcript.pyannote[3422].speaker SPEAKER_60
transcript.pyannote[3422].start 20148.44346875
transcript.pyannote[3422].end 20152.30784375
transcript.pyannote[3423].speaker SPEAKER_60
transcript.pyannote[3423].start 20152.71284375
transcript.pyannote[3423].end 20154.67034375
transcript.pyannote[3424].speaker SPEAKER_60
transcript.pyannote[3424].start 20155.49721875
transcript.pyannote[3424].end 20159.68221875
transcript.pyannote[3425].speaker SPEAKER_60
transcript.pyannote[3425].start 20160.37409375
transcript.pyannote[3425].end 20163.19221875
transcript.pyannote[3426].speaker SPEAKER_60
transcript.pyannote[3426].start 20164.01909375
transcript.pyannote[3426].end 20166.11159375
transcript.pyannote[3427].speaker SPEAKER_60
transcript.pyannote[3427].start 20166.93846875
transcript.pyannote[3427].end 20171.14034375
transcript.pyannote[3428].speaker SPEAKER_60
transcript.pyannote[3428].start 20171.64659375
transcript.pyannote[3428].end 20172.27096875
transcript.pyannote[3429].speaker SPEAKER_08
transcript.pyannote[3429].start 20172.27096875
transcript.pyannote[3429].end 20173.65471875
transcript.pyannote[3430].speaker SPEAKER_60
transcript.pyannote[3430].start 20172.62534375
transcript.pyannote[3430].end 20178.70034375
transcript.pyannote[3431].speaker SPEAKER_08
transcript.pyannote[3431].start 20178.70034375
transcript.pyannote[3431].end 20178.83534375
transcript.pyannote[3432].speaker SPEAKER_60
transcript.pyannote[3432].start 20179.00409375
transcript.pyannote[3432].end 20179.02096875
transcript.pyannote[3433].speaker SPEAKER_08
transcript.pyannote[3433].start 20179.02096875
transcript.pyannote[3433].end 20179.03784375
transcript.pyannote[3434].speaker SPEAKER_60
transcript.pyannote[3434].start 20179.03784375
transcript.pyannote[3434].end 20179.05471875
transcript.pyannote[3435].speaker SPEAKER_08
transcript.pyannote[3435].start 20179.05471875
transcript.pyannote[3435].end 20195.81159375
transcript.pyannote[3436].speaker SPEAKER_60
transcript.pyannote[3436].start 20179.27409375
transcript.pyannote[3436].end 20179.47659375
transcript.pyannote[3437].speaker SPEAKER_08
transcript.pyannote[3437].start 20196.04784375
transcript.pyannote[3437].end 20207.20221875
transcript.pyannote[3438].speaker SPEAKER_60
transcript.pyannote[3438].start 20206.30784375
transcript.pyannote[3438].end 20206.56096875
transcript.pyannote[3439].speaker SPEAKER_60
transcript.pyannote[3439].start 20206.96596875
transcript.pyannote[3439].end 20206.98284375
transcript.pyannote[3440].speaker SPEAKER_60
transcript.pyannote[3440].start 20207.20221875
transcript.pyannote[3440].end 20208.26534375
transcript.pyannote[3441].speaker SPEAKER_08
transcript.pyannote[3441].start 20208.26534375
transcript.pyannote[3441].end 20208.28221875
transcript.pyannote[3442].speaker SPEAKER_60
transcript.pyannote[3442].start 20208.28221875
transcript.pyannote[3442].end 20208.31596875
transcript.pyannote[3443].speaker SPEAKER_08
transcript.pyannote[3443].start 20208.31596875
transcript.pyannote[3443].end 20209.21034375
transcript.pyannote[3444].speaker SPEAKER_60
transcript.pyannote[3444].start 20208.43409375
transcript.pyannote[3444].end 20213.66534375
transcript.pyannote[3445].speaker SPEAKER_08
transcript.pyannote[3445].start 20214.12096875
transcript.pyannote[3445].end 20215.97721875
transcript.pyannote[3446].speaker SPEAKER_60
transcript.pyannote[3446].start 20214.47534375
transcript.pyannote[3446].end 20217.56346875
transcript.pyannote[3447].speaker SPEAKER_08
transcript.pyannote[3447].start 20216.02784375
transcript.pyannote[3447].end 20217.64784375
transcript.pyannote[3448].speaker SPEAKER_60
transcript.pyannote[3448].start 20217.64784375
transcript.pyannote[3448].end 20230.97909375
transcript.pyannote[3449].speaker SPEAKER_08
transcript.pyannote[3449].start 20223.03096875
transcript.pyannote[3449].end 20223.06471875
transcript.pyannote[3450].speaker SPEAKER_08
transcript.pyannote[3450].start 20225.42721875
transcript.pyannote[3450].end 20226.13596875
transcript.pyannote[3451].speaker SPEAKER_08
transcript.pyannote[3451].start 20226.57471875
transcript.pyannote[3451].end 20228.73471875
transcript.pyannote[3452].speaker SPEAKER_60
transcript.pyannote[3452].start 20232.27846875
transcript.pyannote[3452].end 20242.79159375
transcript.pyannote[3453].speaker SPEAKER_08
transcript.pyannote[3453].start 20232.93659375
transcript.pyannote[3453].end 20234.97846875
transcript.pyannote[3454].speaker SPEAKER_52
transcript.pyannote[3454].start 20234.97846875
transcript.pyannote[3454].end 20235.26534375
transcript.pyannote[3455].speaker SPEAKER_52
transcript.pyannote[3455].start 20236.63221875
transcript.pyannote[3455].end 20236.64909375
transcript.pyannote[3456].speaker SPEAKER_08
transcript.pyannote[3456].start 20236.64909375
transcript.pyannote[3456].end 20236.66596875
transcript.pyannote[3457].speaker SPEAKER_66
transcript.pyannote[3457].start 20236.66596875
transcript.pyannote[3457].end 20236.90221875
transcript.pyannote[3458].speaker SPEAKER_08
transcript.pyannote[3458].start 20236.90221875
transcript.pyannote[3458].end 20236.95284375
transcript.pyannote[3459].speaker SPEAKER_60
transcript.pyannote[3459].start 20243.44971875
transcript.pyannote[3459].end 20245.67721875
transcript.pyannote[3460].speaker SPEAKER_60
transcript.pyannote[3460].start 20246.13284375
transcript.pyannote[3460].end 20249.10284375
transcript.pyannote[3461].speaker SPEAKER_60
transcript.pyannote[3461].start 20249.81159375
transcript.pyannote[3461].end 20253.03471875
transcript.pyannote[3462].speaker SPEAKER_08
transcript.pyannote[3462].start 20250.57096875
transcript.pyannote[3462].end 20251.14471875
transcript.pyannote[3463].speaker SPEAKER_08
transcript.pyannote[3463].start 20253.03471875
transcript.pyannote[3463].end 20264.57721875
transcript.pyannote[3464].speaker SPEAKER_60
transcript.pyannote[3464].start 20264.47596875
transcript.pyannote[3464].end 20265.06659375
transcript.pyannote[3465].speaker SPEAKER_08
transcript.pyannote[3465].start 20264.96534375
transcript.pyannote[3465].end 20266.88909375
transcript.pyannote[3466].speaker SPEAKER_60
transcript.pyannote[3466].start 20266.01159375
transcript.pyannote[3466].end 20272.79534375
transcript.pyannote[3467].speaker SPEAKER_60
transcript.pyannote[3467].start 20273.43659375
transcript.pyannote[3467].end 20283.96659375
transcript.pyannote[3468].speaker SPEAKER_60
transcript.pyannote[3468].start 20284.67534375
transcript.pyannote[3468].end 20288.57346875
transcript.pyannote[3469].speaker SPEAKER_60
transcript.pyannote[3469].start 20289.21471875
transcript.pyannote[3469].end 20294.09159375
transcript.pyannote[3470].speaker SPEAKER_08
transcript.pyannote[3470].start 20289.56909375
transcript.pyannote[3470].end 20291.13846875
transcript.pyannote[3471].speaker SPEAKER_08
transcript.pyannote[3471].start 20291.45909375
transcript.pyannote[3471].end 20292.04971875
transcript.pyannote[3472].speaker SPEAKER_60
transcript.pyannote[3472].start 20294.17596875
transcript.pyannote[3472].end 20297.02784375
transcript.pyannote[3473].speaker SPEAKER_08
transcript.pyannote[3473].start 20297.02784375
transcript.pyannote[3473].end 20307.08534375
transcript.pyannote[3474].speaker SPEAKER_60
transcript.pyannote[3474].start 20299.01909375
transcript.pyannote[3474].end 20299.62659375
transcript.pyannote[3475].speaker SPEAKER_60
transcript.pyannote[3475].start 20302.86659375
transcript.pyannote[3475].end 20303.81159375
transcript.pyannote[3476].speaker SPEAKER_60
transcript.pyannote[3476].start 20306.24159375
transcript.pyannote[3476].end 20308.41846875
transcript.pyannote[3477].speaker SPEAKER_60
transcript.pyannote[3477].start 20308.99221875
transcript.pyannote[3477].end 20316.99096875
transcript.pyannote[3478].speaker SPEAKER_08
transcript.pyannote[3478].start 20309.95409375
transcript.pyannote[3478].end 20310.25784375
transcript.pyannote[3479].speaker SPEAKER_60
transcript.pyannote[3479].start 20318.32409375
transcript.pyannote[3479].end 20319.80909375
transcript.pyannote[3480].speaker SPEAKER_60
transcript.pyannote[3480].start 20320.12971875
transcript.pyannote[3480].end 20321.96909375
transcript.pyannote[3481].speaker SPEAKER_60
transcript.pyannote[3481].start 20322.59346875
transcript.pyannote[3481].end 20323.90971875
transcript.pyannote[3482].speaker SPEAKER_60
transcript.pyannote[3482].start 20324.75346875
transcript.pyannote[3482].end 20327.75721875
transcript.pyannote[3483].speaker SPEAKER_60
transcript.pyannote[3483].start 20328.43221875
transcript.pyannote[3483].end 20330.25471875
transcript.pyannote[3484].speaker SPEAKER_60
transcript.pyannote[3484].start 20331.31784375
transcript.pyannote[3484].end 20333.57909375
transcript.pyannote[3485].speaker SPEAKER_60
transcript.pyannote[3485].start 20334.33846875
transcript.pyannote[3485].end 20334.37221875
transcript.pyannote[3486].speaker SPEAKER_08
transcript.pyannote[3486].start 20334.37221875
transcript.pyannote[3486].end 20334.77721875
transcript.pyannote[3487].speaker SPEAKER_60
transcript.pyannote[3487].start 20334.77721875
transcript.pyannote[3487].end 20334.96284375
transcript.pyannote[3488].speaker SPEAKER_08
transcript.pyannote[3488].start 20334.96284375
transcript.pyannote[3488].end 20342.32034375
transcript.pyannote[3489].speaker SPEAKER_60
transcript.pyannote[3489].start 20335.01346875
transcript.pyannote[3489].end 20336.80221875
transcript.pyannote[3490].speaker SPEAKER_08
transcript.pyannote[3490].start 20342.69159375
transcript.pyannote[3490].end 20349.98159375
transcript.pyannote[3491].speaker SPEAKER_66
transcript.pyannote[3491].start 20349.03659375
transcript.pyannote[3491].end 20349.05346875
transcript.pyannote[3492].speaker SPEAKER_60
transcript.pyannote[3492].start 20349.05346875
transcript.pyannote[3492].end 20365.47284375
transcript.pyannote[3493].speaker SPEAKER_08
transcript.pyannote[3493].start 20364.69659375
transcript.pyannote[3493].end 20368.00409375
transcript.pyannote[3494].speaker SPEAKER_60
transcript.pyannote[3494].start 20365.70909375
transcript.pyannote[3494].end 20366.35034375
transcript.pyannote[3495].speaker SPEAKER_60
transcript.pyannote[3495].start 20366.75534375
transcript.pyannote[3495].end 20377.48784375
transcript.pyannote[3496].speaker SPEAKER_58
transcript.pyannote[3496].start 20372.88096875
transcript.pyannote[3496].end 20373.97784375
transcript.pyannote[3497].speaker SPEAKER_08
transcript.pyannote[3497].start 20375.66534375
transcript.pyannote[3497].end 20381.87534375
transcript.pyannote[3498].speaker SPEAKER_60
transcript.pyannote[3498].start 20379.27659375
transcript.pyannote[3498].end 20379.90096875
transcript.pyannote[3499].speaker SPEAKER_60
transcript.pyannote[3499].start 20380.33971875
transcript.pyannote[3499].end 20387.32596875
transcript.pyannote[3500].speaker SPEAKER_55
transcript.pyannote[3500].start 20381.87534375
transcript.pyannote[3500].end 20383.07346875
transcript.pyannote[3501].speaker SPEAKER_08
transcript.pyannote[3501].start 20383.56284375
transcript.pyannote[3501].end 20383.68096875
transcript.pyannote[3502].speaker SPEAKER_55
transcript.pyannote[3502].start 20383.68096875
transcript.pyannote[3502].end 20384.64284375
transcript.pyannote[3503].speaker SPEAKER_55
transcript.pyannote[3503].start 20384.65971875
transcript.pyannote[3503].end 20386.04346875
transcript.pyannote[3504].speaker SPEAKER_55
transcript.pyannote[3504].start 20387.32596875
transcript.pyannote[3504].end 20387.76471875
transcript.pyannote[3505].speaker SPEAKER_60
transcript.pyannote[3505].start 20387.76471875
transcript.pyannote[3505].end 20388.67596875
transcript.pyannote[3506].speaker SPEAKER_55
transcript.pyannote[3506].start 20387.78159375
transcript.pyannote[3506].end 20388.65909375
transcript.pyannote[3507].speaker SPEAKER_55
transcript.pyannote[3507].start 20388.67596875
transcript.pyannote[3507].end 20388.84471875
transcript.pyannote[3508].speaker SPEAKER_60
transcript.pyannote[3508].start 20389.16534375
transcript.pyannote[3508].end 20390.65034375
transcript.pyannote[3509].speaker SPEAKER_60
transcript.pyannote[3509].start 20390.85284375
transcript.pyannote[3509].end 20396.11784375
transcript.pyannote[3510].speaker SPEAKER_60
transcript.pyannote[3510].start 20396.79284375
transcript.pyannote[3510].end 20399.23971875
transcript.pyannote[3511].speaker SPEAKER_60
transcript.pyannote[3511].start 20399.61096875
transcript.pyannote[3511].end 20401.43346875
transcript.pyannote[3512].speaker SPEAKER_60
transcript.pyannote[3512].start 20401.70346875
transcript.pyannote[3512].end 20403.52596875
transcript.pyannote[3513].speaker SPEAKER_60
transcript.pyannote[3513].start 20403.89721875
transcript.pyannote[3513].end 20406.31034375
transcript.pyannote[3514].speaker SPEAKER_60
transcript.pyannote[3514].start 20406.61409375
transcript.pyannote[3514].end 20418.44346875
transcript.pyannote[3515].speaker SPEAKER_08
transcript.pyannote[3515].start 20411.81159375
transcript.pyannote[3515].end 20412.63846875
transcript.pyannote[3516].speaker SPEAKER_60
transcript.pyannote[3516].start 20418.91596875
transcript.pyannote[3516].end 20421.02534375
transcript.pyannote[3517].speaker SPEAKER_08
transcript.pyannote[3517].start 20420.58659375
transcript.pyannote[3517].end 20421.48096875
transcript.pyannote[3518].speaker SPEAKER_08
transcript.pyannote[3518].start 20422.05471875
transcript.pyannote[3518].end 20437.91721875
transcript.pyannote[3519].speaker SPEAKER_60
transcript.pyannote[3519].start 20422.32471875
transcript.pyannote[3519].end 20423.97846875
transcript.pyannote[3520].speaker SPEAKER_60
transcript.pyannote[3520].start 20426.83034375
transcript.pyannote[3520].end 20427.18471875
transcript.pyannote[3521].speaker SPEAKER_60
transcript.pyannote[3521].start 20428.83846875
transcript.pyannote[3521].end 20429.22659375
transcript.pyannote[3522].speaker SPEAKER_60
transcript.pyannote[3522].start 20429.96909375
transcript.pyannote[3522].end 20431.77471875
transcript.pyannote[3523].speaker SPEAKER_60
transcript.pyannote[3523].start 20433.02346875
transcript.pyannote[3523].end 20433.42846875
transcript.pyannote[3524].speaker SPEAKER_60
transcript.pyannote[3524].start 20437.22534375
transcript.pyannote[3524].end 20437.76534375
transcript.pyannote[3525].speaker SPEAKER_60
transcript.pyannote[3525].start 20438.35596875
transcript.pyannote[3525].end 20440.00971875
transcript.pyannote[3526].speaker SPEAKER_60
transcript.pyannote[3526].start 20440.48221875
transcript.pyannote[3526].end 20445.03846875
transcript.pyannote[3527].speaker SPEAKER_08
transcript.pyannote[3527].start 20442.76034375
transcript.pyannote[3527].end 20443.67159375
transcript.pyannote[3528].speaker SPEAKER_08
transcript.pyannote[3528].start 20445.03846875
transcript.pyannote[3528].end 20453.12159375
transcript.pyannote[3529].speaker SPEAKER_60
transcript.pyannote[3529].start 20451.13034375
transcript.pyannote[3529].end 20467.80284375
transcript.pyannote[3530].speaker SPEAKER_08
transcript.pyannote[3530].start 20454.99471875
transcript.pyannote[3530].end 20455.21409375
transcript.pyannote[3531].speaker SPEAKER_66
transcript.pyannote[3531].start 20462.94284375
transcript.pyannote[3531].end 20467.73534375
transcript.pyannote[3532].speaker SPEAKER_66
transcript.pyannote[3532].start 20467.80284375
transcript.pyannote[3532].end 20467.81971875
transcript.pyannote[3533].speaker SPEAKER_60
transcript.pyannote[3533].start 20468.17409375
transcript.pyannote[3533].end 20477.52284375
transcript.pyannote[3534].speaker SPEAKER_66
transcript.pyannote[3534].start 20468.78159375
transcript.pyannote[3534].end 20469.15284375
transcript.pyannote[3535].speaker SPEAKER_60
transcript.pyannote[3535].start 20478.53534375
transcript.pyannote[3535].end 20480.50971875
transcript.pyannote[3536].speaker SPEAKER_60
transcript.pyannote[3536].start 20481.13409375
transcript.pyannote[3536].end 20481.82596875
transcript.pyannote[3537].speaker SPEAKER_60
transcript.pyannote[3537].start 20482.07909375
transcript.pyannote[3537].end 20487.37784375
transcript.pyannote[3538].speaker SPEAKER_60
transcript.pyannote[3538].start 20487.79971875
transcript.pyannote[3538].end 20488.67721875
transcript.pyannote[3539].speaker SPEAKER_60
transcript.pyannote[3539].start 20489.55471875
transcript.pyannote[3539].end 20490.19596875
transcript.pyannote[3540].speaker SPEAKER_60
transcript.pyannote[3540].start 20490.55034375
transcript.pyannote[3540].end 20493.58784375
transcript.pyannote[3541].speaker SPEAKER_60
transcript.pyannote[3541].start 20494.21221875
transcript.pyannote[3541].end 20499.78096875
transcript.pyannote[3542].speaker SPEAKER_08
transcript.pyannote[3542].start 20496.33846875
transcript.pyannote[3542].end 20504.97846875
transcript.pyannote[3543].speaker SPEAKER_60
transcript.pyannote[3543].start 20500.47284375
transcript.pyannote[3543].end 20506.46346875
transcript.pyannote[3544].speaker SPEAKER_55
transcript.pyannote[3544].start 20504.97846875
transcript.pyannote[3544].end 20506.07534375
transcript.pyannote[3545].speaker SPEAKER_60
transcript.pyannote[3545].start 20507.05409375
transcript.pyannote[3545].end 20511.10409375
transcript.pyannote[3546].speaker SPEAKER_60
transcript.pyannote[3546].start 20511.15471875
transcript.pyannote[3546].end 20514.39471875
transcript.pyannote[3547].speaker SPEAKER_55
transcript.pyannote[3547].start 20515.91346875
transcript.pyannote[3547].end 20516.25096875
transcript.pyannote[3548].speaker SPEAKER_55
transcript.pyannote[3548].start 20516.47034375
transcript.pyannote[3548].end 20521.07721875
transcript.pyannote[3549].speaker SPEAKER_60
transcript.pyannote[3549].start 20517.06096875
transcript.pyannote[3549].end 20518.81596875
transcript.pyannote[3550].speaker SPEAKER_60
transcript.pyannote[3550].start 20519.47409375
transcript.pyannote[3550].end 20520.33471875
transcript.pyannote[3551].speaker SPEAKER_60
transcript.pyannote[3551].start 20520.77346875
transcript.pyannote[3551].end 20522.96721875
transcript.pyannote[3552].speaker SPEAKER_55
transcript.pyannote[3552].start 20523.50721875
transcript.pyannote[3552].end 20524.99221875
transcript.pyannote[3553].speaker SPEAKER_60
transcript.pyannote[3553].start 20523.50721875
transcript.pyannote[3553].end 20525.53221875
transcript.pyannote[3554].speaker SPEAKER_60
transcript.pyannote[3554].start 20525.88659375
transcript.pyannote[3554].end 20527.48971875
transcript.pyannote[3555].speaker SPEAKER_55
transcript.pyannote[3555].start 20526.93284375
transcript.pyannote[3555].end 20528.97471875
transcript.pyannote[3556].speaker SPEAKER_60
transcript.pyannote[3556].start 20528.62034375
transcript.pyannote[3556].end 20533.26096875
transcript.pyannote[3557].speaker SPEAKER_08
transcript.pyannote[3557].start 20531.59034375
transcript.pyannote[3557].end 20533.27784375
transcript.pyannote[3558].speaker SPEAKER_60
transcript.pyannote[3558].start 20533.27784375
transcript.pyannote[3558].end 20533.29471875
transcript.pyannote[3559].speaker SPEAKER_08
transcript.pyannote[3559].start 20533.29471875
transcript.pyannote[3559].end 20537.34471875
transcript.pyannote[3560].speaker SPEAKER_60
transcript.pyannote[3560].start 20535.42096875
transcript.pyannote[3560].end 20535.43784375
transcript.pyannote[3561].speaker SPEAKER_55
transcript.pyannote[3561].start 20535.43784375
transcript.pyannote[3561].end 20539.84221875
transcript.pyannote[3562].speaker SPEAKER_60
transcript.pyannote[3562].start 20537.34471875
transcript.pyannote[3562].end 20540.02784375
transcript.pyannote[3563].speaker SPEAKER_08
transcript.pyannote[3563].start 20539.84221875
transcript.pyannote[3563].end 20539.90971875
transcript.pyannote[3564].speaker SPEAKER_55
transcript.pyannote[3564].start 20540.02784375
transcript.pyannote[3564].end 20540.07846875
transcript.pyannote[3565].speaker SPEAKER_60
transcript.pyannote[3565].start 20540.07846875
transcript.pyannote[3565].end 20540.14596875
transcript.pyannote[3566].speaker SPEAKER_55
transcript.pyannote[3566].start 20540.14596875
transcript.pyannote[3566].end 20540.80409375
transcript.pyannote[3567].speaker SPEAKER_60
transcript.pyannote[3567].start 20540.19659375
transcript.pyannote[3567].end 20541.29346875
transcript.pyannote[3568].speaker SPEAKER_55
transcript.pyannote[3568].start 20540.82096875
transcript.pyannote[3568].end 20543.06534375
transcript.pyannote[3569].speaker SPEAKER_60
transcript.pyannote[3569].start 20543.06534375
transcript.pyannote[3569].end 20546.20409375
transcript.pyannote[3570].speaker SPEAKER_55
transcript.pyannote[3570].start 20544.39846875
transcript.pyannote[3570].end 20552.19471875
transcript.pyannote[3571].speaker SPEAKER_02
transcript.pyannote[3571].start 20563.19721875
transcript.pyannote[3571].end 20567.14596875
transcript.pyannote[3572].speaker SPEAKER_55
transcript.pyannote[3572].start 20568.05721875
transcript.pyannote[3572].end 20570.47034375
transcript.pyannote[3573].speaker SPEAKER_02
transcript.pyannote[3573].start 20568.90096875
transcript.pyannote[3573].end 20569.79534375
transcript.pyannote[3574].speaker SPEAKER_66
transcript.pyannote[3574].start 20569.79534375
transcript.pyannote[3574].end 20569.84596875
transcript.pyannote[3575].speaker SPEAKER_02
transcript.pyannote[3575].start 20569.84596875
transcript.pyannote[3575].end 20569.87971875
transcript.pyannote[3576].speaker SPEAKER_66
transcript.pyannote[3576].start 20569.87971875
transcript.pyannote[3576].end 20569.93034375
transcript.pyannote[3577].speaker SPEAKER_02
transcript.pyannote[3577].start 20569.93034375
transcript.pyannote[3577].end 20569.96409375
transcript.pyannote[3578].speaker SPEAKER_55
transcript.pyannote[3578].start 20570.97659375
transcript.pyannote[3578].end 20576.47784375
transcript.pyannote[3579].speaker SPEAKER_66
transcript.pyannote[3579].start 20576.47784375
transcript.pyannote[3579].end 20576.91659375
transcript.pyannote[3580].speaker SPEAKER_55
transcript.pyannote[3580].start 20576.91659375
transcript.pyannote[3580].end 20587.26096875
transcript.pyannote[3581].speaker SPEAKER_66
transcript.pyannote[3581].start 20582.19846875
transcript.pyannote[3581].end 20582.29971875
transcript.pyannote[3582].speaker SPEAKER_02
transcript.pyannote[3582].start 20582.29971875
transcript.pyannote[3582].end 20582.72159375
transcript.pyannote[3583].speaker SPEAKER_02
transcript.pyannote[3583].start 20585.86034375
transcript.pyannote[3583].end 20588.72909375
transcript.pyannote[3584].speaker SPEAKER_55
transcript.pyannote[3584].start 20588.59409375
transcript.pyannote[3584].end 20588.94846875
transcript.pyannote[3585].speaker SPEAKER_02
transcript.pyannote[3585].start 20588.88096875
transcript.pyannote[3585].end 20591.53034375
transcript.pyannote[3586].speaker SPEAKER_02
transcript.pyannote[3586].start 20592.10409375
transcript.pyannote[3586].end 20592.37409375
transcript.pyannote[3587].speaker SPEAKER_02
transcript.pyannote[3587].start 20593.97721875
transcript.pyannote[3587].end 20594.12909375
transcript.pyannote[3588].speaker SPEAKER_59
transcript.pyannote[3588].start 20594.12909375
transcript.pyannote[3588].end 20595.25971875
transcript.pyannote[3589].speaker SPEAKER_02
transcript.pyannote[3589].start 20595.29346875
transcript.pyannote[3589].end 20596.94721875
transcript.pyannote[3590].speaker SPEAKER_66
transcript.pyannote[3590].start 20605.94159375
transcript.pyannote[3590].end 20606.12721875
transcript.pyannote[3591].speaker SPEAKER_26
transcript.pyannote[3591].start 20611.08846875
transcript.pyannote[3591].end 20611.67909375
transcript.pyannote[3592].speaker SPEAKER_02
transcript.pyannote[3592].start 20611.67909375
transcript.pyannote[3592].end 20653.91721875
transcript.pyannote[3593].speaker SPEAKER_02
transcript.pyannote[3593].start 20655.18284375
transcript.pyannote[3593].end 20724.03284375
transcript.pyannote[3594].speaker SPEAKER_05
transcript.pyannote[3594].start 20724.62346875
transcript.pyannote[3594].end 20725.09596875
transcript.pyannote[3595].speaker SPEAKER_05
transcript.pyannote[3595].start 20725.80471875
transcript.pyannote[3595].end 20756.23034375
transcript.pyannote[3596].speaker SPEAKER_02
transcript.pyannote[3596].start 20728.55534375
transcript.pyannote[3596].end 20728.77471875
transcript.pyannote[3597].speaker SPEAKER_26
transcript.pyannote[3597].start 20728.77471875
transcript.pyannote[3597].end 20728.84221875
transcript.pyannote[3598].speaker SPEAKER_52
transcript.pyannote[3598].start 20741.51534375
transcript.pyannote[3598].end 20741.88659375
transcript.pyannote[3599].speaker SPEAKER_05
transcript.pyannote[3599].start 20757.04034375
transcript.pyannote[3599].end 20771.08034375
transcript.pyannote[3600].speaker SPEAKER_02
transcript.pyannote[3600].start 20771.46846875
transcript.pyannote[3600].end 20835.54284375
transcript.pyannote[3601].speaker SPEAKER_05
transcript.pyannote[3601].start 20835.05346875
transcript.pyannote[3601].end 20891.53409375
transcript.pyannote[3602].speaker SPEAKER_52
transcript.pyannote[3602].start 20845.95471875
transcript.pyannote[3602].end 20846.03909375
transcript.pyannote[3603].speaker SPEAKER_66
transcript.pyannote[3603].start 20846.03909375
transcript.pyannote[3603].end 20846.34284375
transcript.pyannote[3604].speaker SPEAKER_52
transcript.pyannote[3604].start 20881.93221875
transcript.pyannote[3604].end 20882.03346875
transcript.pyannote[3605].speaker SPEAKER_02
transcript.pyannote[3605].start 20882.03346875
transcript.pyannote[3605].end 20882.50596875
transcript.pyannote[3606].speaker SPEAKER_02
transcript.pyannote[3606].start 20886.85971875
transcript.pyannote[3606].end 20887.14659375
transcript.pyannote[3607].speaker SPEAKER_02
transcript.pyannote[3607].start 20888.17596875
transcript.pyannote[3607].end 20889.82971875
transcript.pyannote[3608].speaker SPEAKER_02
transcript.pyannote[3608].start 20891.01096875
transcript.pyannote[3608].end 20919.76596875
transcript.pyannote[3609].speaker SPEAKER_05
transcript.pyannote[3609].start 20891.82096875
transcript.pyannote[3609].end 20893.40721875
transcript.pyannote[3610].speaker SPEAKER_02
transcript.pyannote[3610].start 20920.00221875
transcript.pyannote[3610].end 20985.27471875
transcript.pyannote[3611].speaker SPEAKER_26
transcript.pyannote[3611].start 20974.54221875
transcript.pyannote[3611].end 20974.57596875
transcript.pyannote[3612].speaker SPEAKER_05
transcript.pyannote[3612].start 20974.57596875
transcript.pyannote[3612].end 20978.05221875
transcript.pyannote[3613].speaker SPEAKER_05
transcript.pyannote[3613].start 20982.84471875
transcript.pyannote[3613].end 20983.24971875
transcript.pyannote[3614].speaker SPEAKER_05
transcript.pyannote[3614].start 20984.43096875
transcript.pyannote[3614].end 20995.21409375
transcript.pyannote[3615].speaker SPEAKER_02
transcript.pyannote[3615].start 20985.71346875
transcript.pyannote[3615].end 20987.38409375
transcript.pyannote[3616].speaker SPEAKER_02
transcript.pyannote[3616].start 20994.47159375
transcript.pyannote[3616].end 20997.99846875
transcript.pyannote[3617].speaker SPEAKER_05
transcript.pyannote[3617].start 20997.15471875
transcript.pyannote[3617].end 21002.72346875
transcript.pyannote[3618].speaker SPEAKER_02
transcript.pyannote[3618].start 20999.04471875
transcript.pyannote[3618].end 20999.44971875
transcript.pyannote[3619].speaker SPEAKER_02
transcript.pyannote[3619].start 21002.28471875
transcript.pyannote[3619].end 21007.21221875
transcript.pyannote[3620].speaker SPEAKER_05
transcript.pyannote[3620].start 21005.47409375
transcript.pyannote[3620].end 21008.17409375
transcript.pyannote[3621].speaker SPEAKER_02
transcript.pyannote[3621].start 21007.58346875
transcript.pyannote[3621].end 21013.20284375
transcript.pyannote[3622].speaker SPEAKER_05
transcript.pyannote[3622].start 21013.20284375
transcript.pyannote[3622].end 21013.59096875
transcript.pyannote[3623].speaker SPEAKER_02
transcript.pyannote[3623].start 21013.59096875
transcript.pyannote[3623].end 21028.23846875
transcript.pyannote[3624].speaker SPEAKER_55
transcript.pyannote[3624].start 21023.88471875
transcript.pyannote[3624].end 21025.36971875
transcript.pyannote[3625].speaker SPEAKER_55
transcript.pyannote[3625].start 21027.78284375
transcript.pyannote[3625].end 21030.04409375
transcript.pyannote[3626].speaker SPEAKER_55
transcript.pyannote[3626].start 21031.07346875
transcript.pyannote[3626].end 21032.18721875
transcript.pyannote[3627].speaker SPEAKER_55
transcript.pyannote[3627].start 21033.45284375
transcript.pyannote[3627].end 21036.05159375
transcript.pyannote[3628].speaker SPEAKER_55
transcript.pyannote[3628].start 21036.96284375
transcript.pyannote[3628].end 21040.00034375
transcript.pyannote[3629].speaker SPEAKER_55
transcript.pyannote[3629].start 21041.75534375
transcript.pyannote[3629].end 21043.81409375
transcript.pyannote[3630].speaker SPEAKER_55
transcript.pyannote[3630].start 21044.33721875
transcript.pyannote[3630].end 21047.07096875
transcript.pyannote[3631].speaker SPEAKER_55
transcript.pyannote[3631].start 21048.48846875
transcript.pyannote[3631].end 21053.26409375
transcript.pyannote[3632].speaker SPEAKER_55
transcript.pyannote[3632].start 21053.83784375
transcript.pyannote[3632].end 21057.07784375
transcript.pyannote[3633].speaker SPEAKER_55
transcript.pyannote[3633].start 21057.53346875
transcript.pyannote[3633].end 21059.69346875
transcript.pyannote[3634].speaker SPEAKER_55
transcript.pyannote[3634].start 21060.58784375
transcript.pyannote[3634].end 21061.81971875
transcript.pyannote[3635].speaker SPEAKER_55
transcript.pyannote[3635].start 21062.22471875
transcript.pyannote[3635].end 21063.67596875
transcript.pyannote[3636].speaker SPEAKER_55
transcript.pyannote[3636].start 21064.09784375
transcript.pyannote[3636].end 21065.78534375
transcript.pyannote[3637].speaker SPEAKER_55
transcript.pyannote[3637].start 21066.42659375
transcript.pyannote[3637].end 21067.72596875
transcript.pyannote[3638].speaker SPEAKER_55
transcript.pyannote[3638].start 21068.21534375
transcript.pyannote[3638].end 21069.71721875
transcript.pyannote[3639].speaker SPEAKER_55
transcript.pyannote[3639].start 21070.25721875
transcript.pyannote[3639].end 21075.03284375
transcript.pyannote[3640].speaker SPEAKER_20
transcript.pyannote[3640].start 21084.17909375
transcript.pyannote[3640].end 21095.18159375
transcript.pyannote[3641].speaker SPEAKER_59
transcript.pyannote[3641].start 21092.53221875
transcript.pyannote[3641].end 21093.37596875
transcript.pyannote[3642].speaker SPEAKER_59
transcript.pyannote[3642].start 21094.25346875
transcript.pyannote[3642].end 21094.59096875
transcript.pyannote[3643].speaker SPEAKER_59
transcript.pyannote[3643].start 21095.18159375
transcript.pyannote[3643].end 21096.54846875
transcript.pyannote[3644].speaker SPEAKER_59
transcript.pyannote[3644].start 21100.44659375
transcript.pyannote[3644].end 21100.46346875
transcript.pyannote[3645].speaker SPEAKER_20
transcript.pyannote[3645].start 21100.46346875
transcript.pyannote[3645].end 21101.12159375
transcript.pyannote[3646].speaker SPEAKER_57
transcript.pyannote[3646].start 21101.12159375
transcript.pyannote[3646].end 21103.12971875
transcript.pyannote[3647].speaker SPEAKER_20
transcript.pyannote[3647].start 21101.44221875
transcript.pyannote[3647].end 21101.84721875
transcript.pyannote[3648].speaker SPEAKER_20
transcript.pyannote[3648].start 21103.12971875
transcript.pyannote[3648].end 21103.19721875
transcript.pyannote[3649].speaker SPEAKER_20
transcript.pyannote[3649].start 21103.60221875
transcript.pyannote[3649].end 21106.94346875
transcript.pyannote[3650].speaker SPEAKER_66
transcript.pyannote[3650].start 21107.51721875
transcript.pyannote[3650].end 21108.34409375
transcript.pyannote[3651].speaker SPEAKER_20
transcript.pyannote[3651].start 21108.93471875
transcript.pyannote[3651].end 21110.97659375
transcript.pyannote[3652].speaker SPEAKER_57
transcript.pyannote[3652].start 21110.97659375
transcript.pyannote[3652].end 21113.82846875
transcript.pyannote[3653].speaker SPEAKER_20
transcript.pyannote[3653].start 21113.82846875
transcript.pyannote[3653].end 21117.86159375
transcript.pyannote[3654].speaker SPEAKER_57
transcript.pyannote[3654].start 21115.60034375
transcript.pyannote[3654].end 21118.21596875
transcript.pyannote[3655].speaker SPEAKER_05
transcript.pyannote[3655].start 21118.21596875
transcript.pyannote[3655].end 21118.23284375
transcript.pyannote[3656].speaker SPEAKER_20
transcript.pyannote[3656].start 21127.69971875
transcript.pyannote[3656].end 21128.88096875
transcript.pyannote[3657].speaker SPEAKER_26
transcript.pyannote[3657].start 21129.64034375
transcript.pyannote[3657].end 21130.97346875
transcript.pyannote[3658].speaker SPEAKER_20
transcript.pyannote[3658].start 21130.99034375
transcript.pyannote[3658].end 21274.10721875
transcript.pyannote[3659].speaker SPEAKER_26
transcript.pyannote[3659].start 21133.90971875
transcript.pyannote[3659].end 21134.23034375
transcript.pyannote[3660].speaker SPEAKER_64
transcript.pyannote[3660].start 21141.30096875
transcript.pyannote[3660].end 21141.73971875
transcript.pyannote[3661].speaker SPEAKER_52
transcript.pyannote[3661].start 21155.22284375
transcript.pyannote[3661].end 21156.11721875
transcript.pyannote[3662].speaker SPEAKER_52
transcript.pyannote[3662].start 21189.12471875
transcript.pyannote[3662].end 21189.73221875
transcript.pyannote[3663].speaker SPEAKER_52
transcript.pyannote[3663].start 21217.30596875
transcript.pyannote[3663].end 21217.71096875
transcript.pyannote[3664].speaker SPEAKER_52
transcript.pyannote[3664].start 21248.94659375
transcript.pyannote[3664].end 21249.25034375
transcript.pyannote[3665].speaker SPEAKER_20
transcript.pyannote[3665].start 21274.49534375
transcript.pyannote[3665].end 21283.87784375
transcript.pyannote[3666].speaker SPEAKER_20
transcript.pyannote[3666].start 21284.26596875
transcript.pyannote[3666].end 21359.47784375
transcript.pyannote[3667].speaker SPEAKER_52
transcript.pyannote[3667].start 21293.61471875
transcript.pyannote[3667].end 21294.15471875
transcript.pyannote[3668].speaker SPEAKER_52
transcript.pyannote[3668].start 21298.64346875
transcript.pyannote[3668].end 21298.89659375
transcript.pyannote[3669].speaker SPEAKER_52
transcript.pyannote[3669].start 21306.99659375
transcript.pyannote[3669].end 21307.33409375
transcript.pyannote[3670].speaker SPEAKER_52
transcript.pyannote[3670].start 21319.16346875
transcript.pyannote[3670].end 21319.58534375
transcript.pyannote[3671].speaker SPEAKER_52
transcript.pyannote[3671].start 21336.64596875
transcript.pyannote[3671].end 21337.32096875
transcript.pyannote[3672].speaker SPEAKER_25
transcript.pyannote[3672].start 21354.73596875
transcript.pyannote[3672].end 21355.03971875
transcript.pyannote[3673].speaker SPEAKER_25
transcript.pyannote[3673].start 21356.74409375
transcript.pyannote[3673].end 21356.92971875
transcript.pyannote[3674].speaker SPEAKER_25
transcript.pyannote[3674].start 21358.98846875
transcript.pyannote[3674].end 21395.08409375
transcript.pyannote[3675].speaker SPEAKER_25
transcript.pyannote[3675].start 21395.16846875
transcript.pyannote[3675].end 21395.28659375
transcript.pyannote[3676].speaker SPEAKER_20
transcript.pyannote[3676].start 21395.28659375
transcript.pyannote[3676].end 21408.06096875
transcript.pyannote[3677].speaker SPEAKER_25
transcript.pyannote[3677].start 21398.64471875
transcript.pyannote[3677].end 21399.31971875
transcript.pyannote[3678].speaker SPEAKER_25
transcript.pyannote[3678].start 21402.03659375
transcript.pyannote[3678].end 21402.23909375
transcript.pyannote[3679].speaker SPEAKER_25
transcript.pyannote[3679].start 21404.43284375
transcript.pyannote[3679].end 21405.22596875
transcript.pyannote[3680].speaker SPEAKER_25
transcript.pyannote[3680].start 21406.45784375
transcript.pyannote[3680].end 21410.45721875
transcript.pyannote[3681].speaker SPEAKER_55
transcript.pyannote[3681].start 21417.40971875
transcript.pyannote[3681].end 21419.53596875
transcript.pyannote[3682].speaker SPEAKER_55
transcript.pyannote[3682].start 21420.64971875
transcript.pyannote[3682].end 21425.40846875
transcript.pyannote[3683].speaker SPEAKER_55
transcript.pyannote[3683].start 21426.25221875
transcript.pyannote[3683].end 21430.33596875
transcript.pyannote[3684].speaker SPEAKER_55
transcript.pyannote[3684].start 21430.79159375
transcript.pyannote[3684].end 21433.00221875
transcript.pyannote[3685].speaker SPEAKER_48
transcript.pyannote[3685].start 21443.14409375
transcript.pyannote[3685].end 21446.11409375
transcript.pyannote[3686].speaker SPEAKER_55
transcript.pyannote[3686].start 21446.26596875
transcript.pyannote[3686].end 21448.05471875
transcript.pyannote[3687].speaker SPEAKER_41
transcript.pyannote[3687].start 21462.66846875
transcript.pyannote[3687].end 21463.54596875
transcript.pyannote[3688].speaker SPEAKER_48
transcript.pyannote[3688].start 21463.59659375
transcript.pyannote[3688].end 21474.81846875
transcript.pyannote[3689].speaker SPEAKER_48
transcript.pyannote[3689].start 21475.07159375
transcript.pyannote[3689].end 21507.80909375
transcript.pyannote[3690].speaker SPEAKER_48
transcript.pyannote[3690].start 21508.66971875
transcript.pyannote[3690].end 21511.16721875
transcript.pyannote[3691].speaker SPEAKER_48
transcript.pyannote[3691].start 21511.43721875
transcript.pyannote[3691].end 21518.13659375
transcript.pyannote[3692].speaker SPEAKER_48
transcript.pyannote[3692].start 21519.60471875
transcript.pyannote[3692].end 21521.52846875
transcript.pyannote[3693].speaker SPEAKER_48
transcript.pyannote[3693].start 21521.64659375
transcript.pyannote[3693].end 21529.86471875
transcript.pyannote[3694].speaker SPEAKER_48
transcript.pyannote[3694].start 21530.57346875
transcript.pyannote[3694].end 21706.61346875
transcript.pyannote[3695].speaker SPEAKER_52
transcript.pyannote[3695].start 21598.74846875
transcript.pyannote[3695].end 21598.91721875
transcript.pyannote[3696].speaker SPEAKER_48
transcript.pyannote[3696].start 21706.78221875
transcript.pyannote[3696].end 21708.84096875
transcript.pyannote[3697].speaker SPEAKER_48
transcript.pyannote[3697].start 21709.04346875
transcript.pyannote[3697].end 21720.23159375
transcript.pyannote[3698].speaker SPEAKER_48
transcript.pyannote[3698].start 21720.75471875
transcript.pyannote[3698].end 21739.48596875
transcript.pyannote[3699].speaker SPEAKER_48
transcript.pyannote[3699].start 21739.85721875
transcript.pyannote[3699].end 21768.40971875
transcript.pyannote[3700].speaker SPEAKER_63
transcript.pyannote[3700].start 21768.57846875
transcript.pyannote[3700].end 21776.96534375
transcript.pyannote[3701].speaker SPEAKER_48
transcript.pyannote[3701].start 21776.05409375
transcript.pyannote[3701].end 21780.05346875
transcript.pyannote[3702].speaker SPEAKER_63
transcript.pyannote[3702].start 21777.37034375
transcript.pyannote[3702].end 21778.43346875
transcript.pyannote[3703].speaker SPEAKER_63
transcript.pyannote[3703].start 21779.85096875
transcript.pyannote[3703].end 21795.73034375
transcript.pyannote[3704].speaker SPEAKER_48
transcript.pyannote[3704].start 21783.20909375
transcript.pyannote[3704].end 21784.55909375
transcript.pyannote[3705].speaker SPEAKER_48
transcript.pyannote[3705].start 21794.17784375
transcript.pyannote[3705].end 21796.55721875
transcript.pyannote[3706].speaker SPEAKER_63
transcript.pyannote[3706].start 21796.16909375
transcript.pyannote[3706].end 21796.59096875
transcript.pyannote[3707].speaker SPEAKER_48
transcript.pyannote[3707].start 21796.59096875
transcript.pyannote[3707].end 21817.46534375
transcript.pyannote[3708].speaker SPEAKER_55
transcript.pyannote[3708].start 21817.46534375
transcript.pyannote[3708].end 21820.24971875
transcript.pyannote[3709].speaker SPEAKER_55
transcript.pyannote[3709].start 21820.92471875
transcript.pyannote[3709].end 21823.47284375
transcript.pyannote[3710].speaker SPEAKER_55
transcript.pyannote[3710].start 21824.31659375
transcript.pyannote[3710].end 21828.11346875
transcript.pyannote[3711].speaker SPEAKER_55
transcript.pyannote[3711].start 21829.42971875
transcript.pyannote[3711].end 21831.57284375
transcript.pyannote[3712].speaker SPEAKER_55
transcript.pyannote[3712].start 21832.88909375
transcript.pyannote[3712].end 21834.15471875
transcript.pyannote[3713].speaker SPEAKER_55
transcript.pyannote[3713].start 21835.33596875
transcript.pyannote[3713].end 21836.71971875
transcript.pyannote[3714].speaker SPEAKER_55
transcript.pyannote[3714].start 21839.18346875
transcript.pyannote[3714].end 21841.46159375
transcript.pyannote[3715].speaker SPEAKER_23
transcript.pyannote[3715].start 21851.82284375
transcript.pyannote[3715].end 21855.80534375
transcript.pyannote[3716].speaker SPEAKER_59
transcript.pyannote[3716].start 21856.26096875
transcript.pyannote[3716].end 21857.25659375
transcript.pyannote[3717].speaker SPEAKER_11
transcript.pyannote[3717].start 21867.28034375
transcript.pyannote[3717].end 21868.37721875
transcript.pyannote[3718].speaker SPEAKER_23
transcript.pyannote[3718].start 21868.61346875
transcript.pyannote[3718].end 21888.28971875
transcript.pyannote[3719].speaker SPEAKER_23
transcript.pyannote[3719].start 21889.25159375
transcript.pyannote[3719].end 21929.24534375
transcript.pyannote[3720].speaker SPEAKER_23
transcript.pyannote[3720].start 21929.78534375
transcript.pyannote[3720].end 21948.75284375
transcript.pyannote[3721].speaker SPEAKER_23
transcript.pyannote[3721].start 21949.81596875
transcript.pyannote[3721].end 21964.29471875
transcript.pyannote[3722].speaker SPEAKER_23
transcript.pyannote[3722].start 21964.48034375
transcript.pyannote[3722].end 21969.64409375
transcript.pyannote[3723].speaker SPEAKER_23
transcript.pyannote[3723].start 21970.06596875
transcript.pyannote[3723].end 21974.60534375
transcript.pyannote[3724].speaker SPEAKER_23
transcript.pyannote[3724].start 21974.97659375
transcript.pyannote[3724].end 22003.78221875
transcript.pyannote[3725].speaker SPEAKER_11
transcript.pyannote[3725].start 22004.38971875
transcript.pyannote[3725].end 22010.31284375
transcript.pyannote[3726].speaker SPEAKER_11
transcript.pyannote[3726].start 22010.75159375
transcript.pyannote[3726].end 22103.96909375
transcript.pyannote[3727].speaker SPEAKER_66
transcript.pyannote[3727].start 22080.31034375
transcript.pyannote[3727].end 22080.63096875
transcript.pyannote[3728].speaker SPEAKER_52
transcript.pyannote[3728].start 22080.63096875
transcript.pyannote[3728].end 22080.68159375
transcript.pyannote[3729].speaker SPEAKER_23
transcript.pyannote[3729].start 22103.90159375
transcript.pyannote[3729].end 22127.62784375
transcript.pyannote[3730].speaker SPEAKER_23
transcript.pyannote[3730].start 22127.83034375
transcript.pyannote[3730].end 22134.74909375
transcript.pyannote[3731].speaker SPEAKER_23
transcript.pyannote[3731].start 22134.86721875
transcript.pyannote[3731].end 22136.79096875
transcript.pyannote[3732].speaker SPEAKER_23
transcript.pyannote[3732].start 22136.90909375
transcript.pyannote[3732].end 22142.05596875
transcript.pyannote[3733].speaker SPEAKER_11
transcript.pyannote[3733].start 22142.44409375
transcript.pyannote[3733].end 22165.10721875
transcript.pyannote[3734].speaker SPEAKER_36
transcript.pyannote[3734].start 22151.23596875
transcript.pyannote[3734].end 22151.59034375
transcript.pyannote[3735].speaker SPEAKER_66
transcript.pyannote[3735].start 22165.07346875
transcript.pyannote[3735].end 22165.09034375
transcript.pyannote[3736].speaker SPEAKER_66
transcript.pyannote[3736].start 22165.10721875
transcript.pyannote[3736].end 22165.41096875
transcript.pyannote[3737].speaker SPEAKER_11
transcript.pyannote[3737].start 22165.29284375
transcript.pyannote[3737].end 22198.63784375
transcript.pyannote[3738].speaker SPEAKER_23
transcript.pyannote[3738].start 22198.68846875
transcript.pyannote[3738].end 22206.58596875
transcript.pyannote[3739].speaker SPEAKER_23
transcript.pyannote[3739].start 22207.19346875
transcript.pyannote[3739].end 22243.12034375
transcript.pyannote[3740].speaker SPEAKER_11
transcript.pyannote[3740].start 22239.52596875
transcript.pyannote[3740].end 22239.88034375
transcript.pyannote[3741].speaker SPEAKER_11
transcript.pyannote[3741].start 22243.47471875
transcript.pyannote[3741].end 22249.51596875
transcript.pyannote[3742].speaker SPEAKER_55
transcript.pyannote[3742].start 22249.11096875
transcript.pyannote[3742].end 22249.56659375
transcript.pyannote[3743].speaker SPEAKER_23
transcript.pyannote[3743].start 22249.56659375
transcript.pyannote[3743].end 22249.61721875
transcript.pyannote[3744].speaker SPEAKER_55
transcript.pyannote[3744].start 22249.61721875
transcript.pyannote[3744].end 22249.70159375
transcript.pyannote[3745].speaker SPEAKER_55
transcript.pyannote[3745].start 22249.71846875
transcript.pyannote[3745].end 22249.76909375
transcript.pyannote[3746].speaker SPEAKER_55
transcript.pyannote[3746].start 22249.78596875
transcript.pyannote[3746].end 22252.75596875
transcript.pyannote[3747].speaker SPEAKER_55
transcript.pyannote[3747].start 22253.32971875
transcript.pyannote[3747].end 22254.47721875
transcript.pyannote[3748].speaker SPEAKER_55
transcript.pyannote[3748].start 22256.01284375
transcript.pyannote[3748].end 22261.90221875
transcript.pyannote[3749].speaker SPEAKER_55
transcript.pyannote[3749].start 22263.21846875
transcript.pyannote[3749].end 22269.10784375
transcript.pyannote[3750].speaker SPEAKER_55
transcript.pyannote[3750].start 22270.15409375
transcript.pyannote[3750].end 22276.02659375
transcript.pyannote[3751].speaker SPEAKER_55
transcript.pyannote[3751].start 22279.14846875
transcript.pyannote[3751].end 22287.56909375
transcript.pyannote[3752].speaker SPEAKER_55
transcript.pyannote[3752].start 22287.77159375
transcript.pyannote[3752].end 22298.21721875
transcript.pyannote[3753].speaker SPEAKER_55
transcript.pyannote[3753].start 22298.90909375
transcript.pyannote[3753].end 22303.83659375
transcript.pyannote[3754].speaker SPEAKER_55
transcript.pyannote[3754].start 22304.52846875
transcript.pyannote[3754].end 22308.74721875
transcript.pyannote[3755].speaker SPEAKER_57
transcript.pyannote[3755].start 22312.96596875
transcript.pyannote[3755].end 22313.69159375
transcript.pyannote[3756].speaker SPEAKER_12
transcript.pyannote[3756].start 22319.36159375
transcript.pyannote[3756].end 22328.96346875
transcript.pyannote[3757].speaker SPEAKER_12
transcript.pyannote[3757].start 22330.49909375
transcript.pyannote[3757].end 22352.35221875
transcript.pyannote[3758].speaker SPEAKER_12
transcript.pyannote[3758].start 22353.11159375
transcript.pyannote[3758].end 22374.25596875
transcript.pyannote[3759].speaker SPEAKER_12
transcript.pyannote[3759].start 22374.98159375
transcript.pyannote[3759].end 22401.18846875
transcript.pyannote[3760].speaker SPEAKER_12
transcript.pyannote[3760].start 22402.26846875
transcript.pyannote[3760].end 22428.25596875
transcript.pyannote[3761].speaker SPEAKER_12
transcript.pyannote[3761].start 22429.55534375
transcript.pyannote[3761].end 22443.54471875
transcript.pyannote[3762].speaker SPEAKER_12
transcript.pyannote[3762].start 22443.74721875
transcript.pyannote[3762].end 22447.59471875
transcript.pyannote[3763].speaker SPEAKER_12
transcript.pyannote[3763].start 22448.06721875
transcript.pyannote[3763].end 22453.45034375
transcript.pyannote[3764].speaker SPEAKER_12
transcript.pyannote[3764].start 22454.54721875
transcript.pyannote[3764].end 22466.61284375
transcript.pyannote[3765].speaker SPEAKER_12
transcript.pyannote[3765].start 22466.74784375
transcript.pyannote[3765].end 22488.87096875
transcript.pyannote[3766].speaker SPEAKER_12
transcript.pyannote[3766].start 22490.13659375
transcript.pyannote[3766].end 22506.85971875
transcript.pyannote[3767].speaker SPEAKER_12
transcript.pyannote[3767].start 22507.19721875
transcript.pyannote[3767].end 22522.68846875
transcript.pyannote[3768].speaker SPEAKER_12
transcript.pyannote[3768].start 22523.46471875
transcript.pyannote[3768].end 22549.01346875
transcript.pyannote[3769].speaker SPEAKER_12
transcript.pyannote[3769].start 22550.86971875
transcript.pyannote[3769].end 22573.00971875
transcript.pyannote[3770].speaker SPEAKER_12
transcript.pyannote[3770].start 22573.27971875
transcript.pyannote[3770].end 22585.22721875
transcript.pyannote[3771].speaker SPEAKER_12
transcript.pyannote[3771].start 22585.61534375
transcript.pyannote[3771].end 22591.97721875
transcript.pyannote[3772].speaker SPEAKER_12
transcript.pyannote[3772].start 22592.41596875
transcript.pyannote[3772].end 22615.06221875
transcript.pyannote[3773].speaker SPEAKER_12
transcript.pyannote[3773].start 22616.39534375
transcript.pyannote[3773].end 22624.52909375
transcript.pyannote[3774].speaker SPEAKER_12
transcript.pyannote[3774].start 22625.05221875
transcript.pyannote[3774].end 22632.52784375
transcript.pyannote[3775].speaker SPEAKER_12
transcript.pyannote[3775].start 22633.06784375
transcript.pyannote[3775].end 22644.47534375
transcript.pyannote[3776].speaker SPEAKER_12
transcript.pyannote[3776].start 22645.15034375
transcript.pyannote[3776].end 22666.56471875
transcript.pyannote[3777].speaker SPEAKER_12
transcript.pyannote[3777].start 22666.88534375
transcript.pyannote[3777].end 22689.98721875
transcript.pyannote[3778].speaker SPEAKER_12
transcript.pyannote[3778].start 22691.33721875
transcript.pyannote[3778].end 22723.48409375
transcript.pyannote[3779].speaker SPEAKER_12
transcript.pyannote[3779].start 22724.53034375
transcript.pyannote[3779].end 22743.14346875
transcript.pyannote[3780].speaker SPEAKER_12
transcript.pyannote[3780].start 22744.51034375
transcript.pyannote[3780].end 22757.04846875
transcript.pyannote[3781].speaker SPEAKER_12
transcript.pyannote[3781].start 22757.90909375
transcript.pyannote[3781].end 22770.37971875
transcript.pyannote[3782].speaker SPEAKER_12
transcript.pyannote[3782].start 22771.03784375
transcript.pyannote[3782].end 22781.50034375
transcript.pyannote[3783].speaker SPEAKER_12
transcript.pyannote[3783].start 22782.25971875
transcript.pyannote[3783].end 22799.40471875
transcript.pyannote[3784].speaker SPEAKER_12
transcript.pyannote[3784].start 22800.16409375
transcript.pyannote[3784].end 22803.70784375
transcript.pyannote[3785].speaker SPEAKER_12
transcript.pyannote[3785].start 22804.01159375
transcript.pyannote[3785].end 22806.35721875
transcript.pyannote[3786].speaker SPEAKER_12
transcript.pyannote[3786].start 22807.67346875
transcript.pyannote[3786].end 22815.65534375
transcript.pyannote[3787].speaker SPEAKER_12
transcript.pyannote[3787].start 22821.42659375
transcript.pyannote[3787].end 22822.84409375
transcript.pyannote[3788].speaker SPEAKER_12
transcript.pyannote[3788].start 22823.18159375
transcript.pyannote[3788].end 22823.75534375
transcript.pyannote[3789].speaker SPEAKER_12
transcript.pyannote[3789].start 22825.37534375
transcript.pyannote[3789].end 22827.94034375
transcript.pyannote[3790].speaker SPEAKER_12
transcript.pyannote[3790].start 22830.55596875
transcript.pyannote[3790].end 22837.05284375
transcript.pyannote[3791].speaker SPEAKER_12
transcript.pyannote[3791].start 22837.66034375
transcript.pyannote[3791].end 22844.24159375
transcript.pyannote[3792].speaker SPEAKER_12
transcript.pyannote[3792].start 22845.50721875
transcript.pyannote[3792].end 22849.21971875
transcript.pyannote[3793].speaker SPEAKER_12
transcript.pyannote[3793].start 22850.75534375
transcript.pyannote[3793].end 22855.95284375
transcript.pyannote[3794].speaker SPEAKER_12
transcript.pyannote[3794].start 22856.50971875
transcript.pyannote[3794].end 22860.98159375
transcript.pyannote[3795].speaker SPEAKER_12
transcript.pyannote[3795].start 22861.99409375
transcript.pyannote[3795].end 22869.82409375
transcript.pyannote[3796].speaker SPEAKER_12
transcript.pyannote[3796].start 22870.43159375
transcript.pyannote[3796].end 22884.20159375
transcript.pyannote[3797].speaker SPEAKER_12
transcript.pyannote[3797].start 22885.01159375
transcript.pyannote[3797].end 22891.67721875
transcript.pyannote[3798].speaker SPEAKER_12
transcript.pyannote[3798].start 22893.95534375
transcript.pyannote[3798].end 22894.68096875
transcript.pyannote[3799].speaker SPEAKER_12
transcript.pyannote[3799].start 22895.45721875
transcript.pyannote[3799].end 22910.29034375
transcript.pyannote[3800].speaker SPEAKER_12
transcript.pyannote[3800].start 22912.01159375
transcript.pyannote[3800].end 22926.62534375
transcript.pyannote[3801].speaker SPEAKER_12
transcript.pyannote[3801].start 22927.13159375
transcript.pyannote[3801].end 22934.62409375
transcript.pyannote[3802].speaker SPEAKER_12
transcript.pyannote[3802].start 22934.86034375
transcript.pyannote[3802].end 22942.85909375
transcript.pyannote[3803].speaker SPEAKER_12
transcript.pyannote[3803].start 22944.54659375
transcript.pyannote[3803].end 22955.51534375
transcript.pyannote[3804].speaker SPEAKER_12
transcript.pyannote[3804].start 22956.34221875
transcript.pyannote[3804].end 22957.00034375
transcript.pyannote[3805].speaker SPEAKER_12
transcript.pyannote[3805].start 22957.59096875
transcript.pyannote[3805].end 22980.74346875
transcript.pyannote[3806].speaker SPEAKER_12
transcript.pyannote[3806].start 22981.95846875
transcript.pyannote[3806].end 22996.21784375
transcript.pyannote[3807].speaker SPEAKER_12
transcript.pyannote[3807].start 22998.09096875
transcript.pyannote[3807].end 23009.73471875
transcript.pyannote[3808].speaker SPEAKER_12
transcript.pyannote[3808].start 23011.94534375
transcript.pyannote[3808].end 23020.23096875
transcript.pyannote[3809].speaker SPEAKER_12
transcript.pyannote[3809].start 23020.51784375
transcript.pyannote[3809].end 23021.47971875
transcript.pyannote[3810].speaker SPEAKER_12
transcript.pyannote[3810].start 23021.86784375
transcript.pyannote[3810].end 23031.11534375
transcript.pyannote[3811].speaker SPEAKER_12
transcript.pyannote[3811].start 23031.79034375
transcript.pyannote[3811].end 23032.53284375
transcript.pyannote[3812].speaker SPEAKER_12
transcript.pyannote[3812].start 23034.13596875
transcript.pyannote[3812].end 23048.69909375
transcript.pyannote[3813].speaker SPEAKER_12
transcript.pyannote[3813].start 23048.81721875
transcript.pyannote[3813].end 23063.49846875
transcript.pyannote[3814].speaker SPEAKER_12
transcript.pyannote[3814].start 23065.25346875
transcript.pyannote[3814].end 23071.80096875
transcript.pyannote[3815].speaker SPEAKER_12
transcript.pyannote[3815].start 23072.98221875
transcript.pyannote[3815].end 23079.58034375
transcript.pyannote[3816].speaker SPEAKER_12
transcript.pyannote[3816].start 23079.88409375
transcript.pyannote[3816].end 23083.24221875
transcript.pyannote[3817].speaker SPEAKER_12
transcript.pyannote[3817].start 23083.96784375
transcript.pyannote[3817].end 23087.62971875
transcript.pyannote[3818].speaker SPEAKER_12
transcript.pyannote[3818].start 23088.32159375
transcript.pyannote[3818].end 23100.30284375
transcript.pyannote[3819].speaker SPEAKER_12
transcript.pyannote[3819].start 23102.12534375
transcript.pyannote[3819].end 23120.68784375
transcript.pyannote[3820].speaker SPEAKER_12
transcript.pyannote[3820].start 23122.93221875
transcript.pyannote[3820].end 23134.20471875
transcript.pyannote[3821].speaker SPEAKER_12
transcript.pyannote[3821].start 23136.06096875
transcript.pyannote[3821].end 23150.30346875
transcript.pyannote[3822].speaker SPEAKER_12
transcript.pyannote[3822].start 23150.62409375
transcript.pyannote[3822].end 23151.95721875
transcript.pyannote[3823].speaker SPEAKER_12
transcript.pyannote[3823].start 23152.44659375
transcript.pyannote[3823].end 23155.80471875
transcript.pyannote[3824].speaker SPEAKER_12
transcript.pyannote[3824].start 23157.69471875
transcript.pyannote[3824].end 23172.00471875
transcript.pyannote[3825].speaker SPEAKER_12
transcript.pyannote[3825].start 23172.81471875
transcript.pyannote[3825].end 23176.84784375
transcript.pyannote[3826].speaker SPEAKER_12
transcript.pyannote[3826].start 23178.65346875
transcript.pyannote[3826].end 23179.27784375
transcript.pyannote[3827].speaker SPEAKER_12
transcript.pyannote[3827].start 23180.47596875
transcript.pyannote[3827].end 23196.76034375
transcript.pyannote[3828].speaker SPEAKER_12
transcript.pyannote[3828].start 23197.38471875
transcript.pyannote[3828].end 23200.64159375
transcript.pyannote[3829].speaker SPEAKER_12
transcript.pyannote[3829].start 23202.58221875
transcript.pyannote[3829].end 23210.80034375
transcript.pyannote[3830].speaker SPEAKER_12
transcript.pyannote[3830].start 23211.50909375
transcript.pyannote[3830].end 23218.10721875
transcript.pyannote[3831].speaker SPEAKER_12
transcript.pyannote[3831].start 23219.11971875
transcript.pyannote[3831].end 23221.19534375
transcript.pyannote[3832].speaker SPEAKER_12
transcript.pyannote[3832].start 23222.88284375
transcript.pyannote[3832].end 23240.77034375
transcript.pyannote[3833].speaker SPEAKER_12
transcript.pyannote[3833].start 23241.34409375
transcript.pyannote[3833].end 23241.66471875
transcript.pyannote[3834].speaker SPEAKER_12
transcript.pyannote[3834].start 23242.22159375
transcript.pyannote[3834].end 23247.70596875
transcript.pyannote[3835].speaker SPEAKER_12
transcript.pyannote[3835].start 23249.02221875
transcript.pyannote[3835].end 23260.91909375
transcript.pyannote[3836].speaker SPEAKER_12
transcript.pyannote[3836].start 23268.36096875
transcript.pyannote[3836].end 23271.41534375
transcript.pyannote[3837].speaker SPEAKER_12
transcript.pyannote[3837].start 23274.90846875
transcript.pyannote[3837].end 23276.00534375
transcript.pyannote[3838].speaker SPEAKER_12
transcript.pyannote[3838].start 23276.88284375
transcript.pyannote[3838].end 23278.78971875
transcript.pyannote[3839].speaker SPEAKER_12
transcript.pyannote[3839].start 23279.17784375
transcript.pyannote[3839].end 23285.23596875
transcript.pyannote[3840].speaker SPEAKER_12
transcript.pyannote[3840].start 23286.36659375
transcript.pyannote[3840].end 23295.61409375
transcript.pyannote[3841].speaker SPEAKER_12
transcript.pyannote[3841].start 23296.55909375
transcript.pyannote[3841].end 23298.07784375
transcript.pyannote[3842].speaker SPEAKER_12
transcript.pyannote[3842].start 23298.73596875
transcript.pyannote[3842].end 23310.81846875
transcript.pyannote[3843].speaker SPEAKER_12
transcript.pyannote[3843].start 23313.48471875
transcript.pyannote[3843].end 23315.37471875
transcript.pyannote[3844].speaker SPEAKER_12
transcript.pyannote[3844].start 23316.96096875
transcript.pyannote[3844].end 23334.71346875
transcript.pyannote[3845].speaker SPEAKER_12
transcript.pyannote[3845].start 23335.25346875
transcript.pyannote[3845].end 23338.81409375
transcript.pyannote[3846].speaker SPEAKER_12
transcript.pyannote[3846].start 23341.63221875
transcript.pyannote[3846].end 23359.03034375
transcript.pyannote[3847].speaker SPEAKER_12
transcript.pyannote[3847].start 23360.53221875
transcript.pyannote[3847].end 23362.18596875
transcript.pyannote[3848].speaker SPEAKER_12
transcript.pyannote[3848].start 23363.18159375
transcript.pyannote[3848].end 23368.07534375
transcript.pyannote[3849].speaker SPEAKER_12
transcript.pyannote[3849].start 23369.98221875
transcript.pyannote[3849].end 23383.76909375
transcript.pyannote[3850].speaker SPEAKER_12
transcript.pyannote[3850].start 23385.01784375
transcript.pyannote[3850].end 23389.42221875
transcript.pyannote[3851].speaker SPEAKER_12
transcript.pyannote[3851].start 23390.08034375
transcript.pyannote[3851].end 23396.83034375
transcript.pyannote[3852].speaker SPEAKER_12
transcript.pyannote[3852].start 23396.99909375
transcript.pyannote[3852].end 23407.32659375
transcript.pyannote[3853].speaker SPEAKER_12
transcript.pyannote[3853].start 23407.78221875
transcript.pyannote[3853].end 23411.76471875
transcript.pyannote[3854].speaker SPEAKER_12
transcript.pyannote[3854].start 23412.42284375
transcript.pyannote[3854].end 23413.21596875
transcript.pyannote[3855].speaker SPEAKER_12
transcript.pyannote[3855].start 23414.51534375
transcript.pyannote[3855].end 23417.26596875
transcript.pyannote[3856].speaker SPEAKER_12
transcript.pyannote[3856].start 23421.67034375
transcript.pyannote[3856].end 23429.11221875
transcript.pyannote[3857].speaker SPEAKER_12
transcript.pyannote[3857].start 23429.77034375
transcript.pyannote[3857].end 23431.94721875
transcript.pyannote[3858].speaker SPEAKER_12
transcript.pyannote[3858].start 23432.01471875
transcript.pyannote[3858].end 23433.38159375
transcript.pyannote[3859].speaker SPEAKER_12
transcript.pyannote[3859].start 23435.79471875
transcript.pyannote[3859].end 23453.29409375
transcript.pyannote[3860].speaker SPEAKER_12
transcript.pyannote[3860].start 23454.45846875
transcript.pyannote[3860].end 23466.16971875
transcript.pyannote[3861].speaker SPEAKER_12
transcript.pyannote[3861].start 23466.38909375
transcript.pyannote[3861].end 23469.22409375
transcript.pyannote[3862].speaker SPEAKER_12
transcript.pyannote[3862].start 23471.48534375
transcript.pyannote[3862].end 23489.92971875
transcript.pyannote[3863].speaker SPEAKER_12
transcript.pyannote[3863].start 23492.27534375
transcript.pyannote[3863].end 23494.18221875
transcript.pyannote[3864].speaker SPEAKER_12
transcript.pyannote[3864].start 23494.87409375
transcript.pyannote[3864].end 23500.18971875
transcript.pyannote[3865].speaker SPEAKER_12
transcript.pyannote[3865].start 23500.81409375
transcript.pyannote[3865].end 23504.74596875
transcript.pyannote[3866].speaker SPEAKER_12
transcript.pyannote[3866].start 23505.16784375
transcript.pyannote[3866].end 23510.92221875
transcript.pyannote[3867].speaker SPEAKER_12
transcript.pyannote[3867].start 23511.20909375
transcript.pyannote[3867].end 23515.96784375
transcript.pyannote[3868].speaker SPEAKER_12
transcript.pyannote[3868].start 23516.82846875
transcript.pyannote[3868].end 23517.90846875
transcript.pyannote[3869].speaker SPEAKER_12
transcript.pyannote[3869].start 23520.27096875
transcript.pyannote[3869].end 23521.55346875
transcript.pyannote[3870].speaker SPEAKER_12
transcript.pyannote[3870].start 23522.90346875
transcript.pyannote[3870].end 23534.02409375
transcript.pyannote[3871].speaker SPEAKER_12
transcript.pyannote[3871].start 23534.24346875
transcript.pyannote[3871].end 23535.93096875
transcript.pyannote[3872].speaker SPEAKER_12
transcript.pyannote[3872].start 23536.55534375
transcript.pyannote[3872].end 23538.19221875
transcript.pyannote[3873].speaker SPEAKER_12
transcript.pyannote[3873].start 23539.81221875
transcript.pyannote[3873].end 23541.87096875
transcript.pyannote[3874].speaker SPEAKER_12
transcript.pyannote[3874].start 23542.12409375
transcript.pyannote[3874].end 23551.30409375
transcript.pyannote[3875].speaker SPEAKER_12
transcript.pyannote[3875].start 23551.81034375
transcript.pyannote[3875].end 23552.78909375
transcript.pyannote[3876].speaker SPEAKER_12
transcript.pyannote[3876].start 23555.40471875
transcript.pyannote[3876].end 23556.26534375
transcript.pyannote[3877].speaker SPEAKER_12
transcript.pyannote[3877].start 23556.92346875
transcript.pyannote[3877].end 23559.01596875
transcript.pyannote[3878].speaker SPEAKER_12
transcript.pyannote[3878].start 23559.04971875
transcript.pyannote[3878].end 23571.75659375
transcript.pyannote[3879].speaker SPEAKER_12
transcript.pyannote[3879].start 23576.88659375
transcript.pyannote[3879].end 23587.55159375
transcript.pyannote[3880].speaker SPEAKER_12
transcript.pyannote[3880].start 23589.86346875
transcript.pyannote[3880].end 23590.84221875
transcript.pyannote[3881].speaker SPEAKER_12
transcript.pyannote[3881].start 23591.87159375
transcript.pyannote[3881].end 23597.18721875
transcript.pyannote[3882].speaker SPEAKER_12
transcript.pyannote[3882].start 23600.05596875
transcript.pyannote[3882].end 23604.67971875
transcript.pyannote[3883].speaker SPEAKER_12
transcript.pyannote[3883].start 23605.70909375
transcript.pyannote[3883].end 23609.13471875
transcript.pyannote[3884].speaker SPEAKER_12
transcript.pyannote[3884].start 23610.31596875
transcript.pyannote[3884].end 23614.31534375
transcript.pyannote[3885].speaker SPEAKER_12
transcript.pyannote[3885].start 23615.37846875
transcript.pyannote[3885].end 23618.82096875
transcript.pyannote[3886].speaker SPEAKER_12
transcript.pyannote[3886].start 23619.69846875
transcript.pyannote[3886].end 23621.40284375
transcript.pyannote[3887].speaker SPEAKER_12
transcript.pyannote[3887].start 23621.58846875
transcript.pyannote[3887].end 23622.75284375
transcript.pyannote[3888].speaker SPEAKER_12
transcript.pyannote[3888].start 23623.81596875
transcript.pyannote[3888].end 23627.49471875
transcript.pyannote[3889].speaker SPEAKER_12
transcript.pyannote[3889].start 23632.25346875
transcript.pyannote[3889].end 23641.09596875
transcript.pyannote[3890].speaker SPEAKER_12
transcript.pyannote[3890].start 23643.35721875
transcript.pyannote[3890].end 23648.55471875
transcript.pyannote[3891].speaker SPEAKER_12
transcript.pyannote[3891].start 23648.99346875
transcript.pyannote[3891].end 23657.92034375
transcript.pyannote[3892].speaker SPEAKER_12
transcript.pyannote[3892].start 23659.89471875
transcript.pyannote[3892].end 23664.68721875
transcript.pyannote[3893].speaker SPEAKER_12
transcript.pyannote[3893].start 23666.18909375
transcript.pyannote[3893].end 23670.91409375
transcript.pyannote[3894].speaker SPEAKER_12
transcript.pyannote[3894].start 23672.28096875
transcript.pyannote[3894].end 23678.71034375
transcript.pyannote[3895].speaker SPEAKER_12
transcript.pyannote[3895].start 23679.28409375
transcript.pyannote[3895].end 23683.35096875
transcript.pyannote[3896].speaker SPEAKER_12
transcript.pyannote[3896].start 23683.62096875
transcript.pyannote[3896].end 23685.73034375
transcript.pyannote[3897].speaker SPEAKER_12
transcript.pyannote[3897].start 23686.03409375
transcript.pyannote[3897].end 23689.02096875
transcript.pyannote[3898].speaker SPEAKER_12
transcript.pyannote[3898].start 23689.61159375
transcript.pyannote[3898].end 23691.43409375
transcript.pyannote[3899].speaker SPEAKER_12
transcript.pyannote[3899].start 23692.91909375
transcript.pyannote[3899].end 23695.72034375
transcript.pyannote[3900].speaker SPEAKER_12
transcript.pyannote[3900].start 23695.80471875
transcript.pyannote[3900].end 23702.94284375
transcript.pyannote[3901].speaker SPEAKER_12
transcript.pyannote[3901].start 23703.48284375
transcript.pyannote[3901].end 23707.27971875
transcript.pyannote[3902].speaker SPEAKER_12
transcript.pyannote[3902].start 23708.59596875
transcript.pyannote[3902].end 23717.42159375
transcript.pyannote[3903].speaker SPEAKER_12
transcript.pyannote[3903].start 23717.74221875
transcript.pyannote[3903].end 23719.85159375
transcript.pyannote[3904].speaker SPEAKER_12
transcript.pyannote[3904].start 23720.50971875
transcript.pyannote[3904].end 23721.99471875
transcript.pyannote[3905].speaker SPEAKER_12
transcript.pyannote[3905].start 23722.38284375
transcript.pyannote[3905].end 23726.85471875
transcript.pyannote[3906].speaker SPEAKER_12
transcript.pyannote[3906].start 23727.86721875
transcript.pyannote[3906].end 23735.98409375
transcript.pyannote[3907].speaker SPEAKER_12
transcript.pyannote[3907].start 23736.60846875
transcript.pyannote[3907].end 23745.23159375
transcript.pyannote[3908].speaker SPEAKER_12
transcript.pyannote[3908].start 23745.55221875
transcript.pyannote[3908].end 23750.58096875
transcript.pyannote[3909].speaker SPEAKER_12
transcript.pyannote[3909].start 23750.95221875
transcript.pyannote[3909].end 23761.04346875
transcript.pyannote[3910].speaker SPEAKER_12
transcript.pyannote[3910].start 23762.05596875
transcript.pyannote[3910].end 23768.02971875
transcript.pyannote[3911].speaker SPEAKER_12
transcript.pyannote[3911].start 23769.09284375
transcript.pyannote[3911].end 23780.78721875
transcript.pyannote[3912].speaker SPEAKER_12
transcript.pyannote[3912].start 23782.40721875
transcript.pyannote[3912].end 23787.16596875
transcript.pyannote[3913].speaker SPEAKER_12
transcript.pyannote[3913].start 23788.21221875
transcript.pyannote[3913].end 23793.42659375
transcript.pyannote[3914].speaker SPEAKER_12
transcript.pyannote[3914].start 23794.94534375
transcript.pyannote[3914].end 23806.90971875
transcript.pyannote[3915].speaker SPEAKER_12
transcript.pyannote[3915].start 23807.39909375
transcript.pyannote[3915].end 23811.63471875
transcript.pyannote[3916].speaker SPEAKER_12
transcript.pyannote[3916].start 23811.92159375
transcript.pyannote[3916].end 23813.67659375
transcript.pyannote[3917].speaker SPEAKER_12
transcript.pyannote[3917].start 23814.79034375
transcript.pyannote[3917].end 23818.97534375
transcript.pyannote[3918].speaker SPEAKER_12
transcript.pyannote[3918].start 23819.76846875
transcript.pyannote[3918].end 23822.06346875
transcript.pyannote[3919].speaker SPEAKER_12
transcript.pyannote[3919].start 23822.35034375
transcript.pyannote[3919].end 23825.48909375
transcript.pyannote[3920].speaker SPEAKER_12
transcript.pyannote[3920].start 23826.60284375
transcript.pyannote[3920].end 23836.71096875
transcript.pyannote[3921].speaker SPEAKER_12
transcript.pyannote[3921].start 23837.01471875
transcript.pyannote[3921].end 23845.80659375
transcript.pyannote[3922].speaker SPEAKER_12
transcript.pyannote[3922].start 23846.61659375
transcript.pyannote[3922].end 23847.42659375
transcript.pyannote[3923].speaker SPEAKER_12
transcript.pyannote[3923].start 23849.40096875
transcript.pyannote[3923].end 23853.29909375
transcript.pyannote[3924].speaker SPEAKER_12
transcript.pyannote[3924].start 23854.26096875
transcript.pyannote[3924].end 23864.09909375
transcript.pyannote[3925].speaker SPEAKER_12
transcript.pyannote[3925].start 23864.75721875
transcript.pyannote[3925].end 23868.45284375
transcript.pyannote[3926].speaker SPEAKER_12
transcript.pyannote[3926].start 23868.97596875
transcript.pyannote[3926].end 23889.32721875
transcript.pyannote[3927].speaker SPEAKER_12
transcript.pyannote[3927].start 23890.40721875
transcript.pyannote[3927].end 23893.25909375
transcript.pyannote[3928].speaker SPEAKER_12
transcript.pyannote[3928].start 23895.18284375
transcript.pyannote[3928].end 23899.99221875
transcript.pyannote[3929].speaker SPEAKER_12
transcript.pyannote[3929].start 23900.76846875
transcript.pyannote[3929].end 23901.86534375
transcript.pyannote[3930].speaker SPEAKER_12
transcript.pyannote[3930].start 23904.04221875
transcript.pyannote[3930].end 23907.31596875
transcript.pyannote[3931].speaker SPEAKER_12
transcript.pyannote[3931].start 23907.97409375
transcript.pyannote[3931].end 23916.74909375
transcript.pyannote[3932].speaker SPEAKER_12
transcript.pyannote[3932].start 23917.42409375
transcript.pyannote[3932].end 23928.83159375
transcript.pyannote[3933].speaker SPEAKER_12
transcript.pyannote[3933].start 23929.52346875
transcript.pyannote[3933].end 23931.64971875
transcript.pyannote[3934].speaker SPEAKER_12
transcript.pyannote[3934].start 23932.03784375
transcript.pyannote[3934].end 23933.74221875
transcript.pyannote[3935].speaker SPEAKER_12
transcript.pyannote[3935].start 23934.72096875
transcript.pyannote[3935].end 23952.30471875
transcript.pyannote[3936].speaker SPEAKER_12
transcript.pyannote[3936].start 23953.68846875
transcript.pyannote[3936].end 23958.10971875
transcript.pyannote[3937].speaker SPEAKER_12
transcript.pyannote[3937].start 23960.26971875
transcript.pyannote[3937].end 23967.00284375
transcript.pyannote[3938].speaker SPEAKER_12
transcript.pyannote[3938].start 23967.66096875
transcript.pyannote[3938].end 23970.49596875
transcript.pyannote[3939].speaker SPEAKER_12
transcript.pyannote[3939].start 23971.89659375
transcript.pyannote[3939].end 23986.22346875
transcript.pyannote[3940].speaker SPEAKER_12
transcript.pyannote[3940].start 23987.01659375
transcript.pyannote[3940].end 23993.02409375
transcript.pyannote[3941].speaker SPEAKER_12
transcript.pyannote[3941].start 23994.42471875
transcript.pyannote[3941].end 23994.77909375
transcript.pyannote[3942].speaker SPEAKER_12
transcript.pyannote[3942].start 23995.18409375
transcript.pyannote[3942].end 24011.36721875
transcript.pyannote[3943].speaker SPEAKER_12
transcript.pyannote[3943].start 24011.99159375
transcript.pyannote[3943].end 24020.02409375
transcript.pyannote[3944].speaker SPEAKER_12
transcript.pyannote[3944].start 24021.39096875
transcript.pyannote[3944].end 24029.59221875
transcript.pyannote[3945].speaker SPEAKER_12
transcript.pyannote[3945].start 24030.18284375
transcript.pyannote[3945].end 24033.25409375
transcript.pyannote[3946].speaker SPEAKER_12
transcript.pyannote[3946].start 24033.72659375
transcript.pyannote[3946].end 24038.02971875
transcript.pyannote[3947].speaker SPEAKER_12
transcript.pyannote[3947].start 24038.78909375
transcript.pyannote[3947].end 24040.81409375
transcript.pyannote[3948].speaker SPEAKER_12
transcript.pyannote[3948].start 24041.32034375
transcript.pyannote[3948].end 24043.07534375
transcript.pyannote[3949].speaker SPEAKER_12
transcript.pyannote[3949].start 24044.27346875
transcript.pyannote[3949].end 24048.64409375
transcript.pyannote[3950].speaker SPEAKER_12
transcript.pyannote[3950].start 24049.35284375
transcript.pyannote[3950].end 24054.34784375
transcript.pyannote[3951].speaker SPEAKER_12
transcript.pyannote[3951].start 24055.09034375
transcript.pyannote[3951].end 24063.46034375
transcript.pyannote[3952].speaker SPEAKER_12
transcript.pyannote[3952].start 24064.03409375
transcript.pyannote[3952].end 24079.86284375
transcript.pyannote[3953].speaker SPEAKER_12
transcript.pyannote[3953].start 24081.22971875
transcript.pyannote[3953].end 24089.48159375
transcript.pyannote[3954].speaker SPEAKER_12
transcript.pyannote[3954].start 24090.54471875
transcript.pyannote[3954].end 24093.73409375
transcript.pyannote[3955].speaker SPEAKER_12
transcript.pyannote[3955].start 24094.13909375
transcript.pyannote[3955].end 24096.01221875
transcript.pyannote[3956].speaker SPEAKER_12
transcript.pyannote[3956].start 24097.07534375
transcript.pyannote[3956].end 24104.36534375
transcript.pyannote[3957].speaker SPEAKER_12
transcript.pyannote[3957].start 24104.56784375
transcript.pyannote[3957].end 24110.77784375
transcript.pyannote[3958].speaker SPEAKER_12
transcript.pyannote[3958].start 24111.63846875
transcript.pyannote[3958].end 24116.49846875
transcript.pyannote[3959].speaker SPEAKER_12
transcript.pyannote[3959].start 24117.89909375
transcript.pyannote[3959].end 24119.97471875
transcript.pyannote[3960].speaker SPEAKER_12
transcript.pyannote[3960].start 24120.31221875
transcript.pyannote[3960].end 24121.54409375
transcript.pyannote[3961].speaker SPEAKER_12
transcript.pyannote[3961].start 24122.33721875
transcript.pyannote[3961].end 24125.49284375
transcript.pyannote[3962].speaker SPEAKER_12
transcript.pyannote[3962].start 24126.15096875
transcript.pyannote[3962].end 24130.52159375
transcript.pyannote[3963].speaker SPEAKER_12
transcript.pyannote[3963].start 24130.80846875
transcript.pyannote[3963].end 24137.55846875
transcript.pyannote[3964].speaker SPEAKER_12
transcript.pyannote[3964].start 24138.09846875
transcript.pyannote[3964].end 24144.93284375
transcript.pyannote[3965].speaker SPEAKER_12
transcript.pyannote[3965].start 24146.78909375
transcript.pyannote[3965].end 24154.97346875
transcript.pyannote[3966].speaker SPEAKER_12
transcript.pyannote[3966].start 24155.51346875
transcript.pyannote[3966].end 24155.80034375
transcript.pyannote[3967].speaker SPEAKER_12
transcript.pyannote[3967].start 24156.20534375
transcript.pyannote[3967].end 24160.55909375
transcript.pyannote[3968].speaker SPEAKER_12
transcript.pyannote[3968].start 24160.79534375
transcript.pyannote[3968].end 24164.25471875
transcript.pyannote[3969].speaker SPEAKER_12
transcript.pyannote[3969].start 24165.01409375
transcript.pyannote[3969].end 24171.20721875
transcript.pyannote[3970].speaker SPEAKER_12
transcript.pyannote[3970].start 24171.88221875
transcript.pyannote[3970].end 24173.18159375
transcript.pyannote[3971].speaker SPEAKER_12
transcript.pyannote[3971].start 24174.70034375
transcript.pyannote[3971].end 24177.82221875
transcript.pyannote[3972].speaker SPEAKER_12
transcript.pyannote[3972].start 24178.32846875
transcript.pyannote[3972].end 24181.85534375
transcript.pyannote[3973].speaker SPEAKER_12
transcript.pyannote[3973].start 24182.29409375
transcript.pyannote[3973].end 24187.39034375
transcript.pyannote[3974].speaker SPEAKER_12
transcript.pyannote[3974].start 24187.98096875
transcript.pyannote[3974].end 24192.85784375
transcript.pyannote[3975].speaker SPEAKER_12
transcript.pyannote[3975].start 24193.31346875
transcript.pyannote[3975].end 24196.65471875
transcript.pyannote[3976].speaker SPEAKER_12
transcript.pyannote[3976].start 24197.05971875
transcript.pyannote[3976].end 24199.23659375
transcript.pyannote[3977].speaker SPEAKER_12
transcript.pyannote[3977].start 24199.92846875
transcript.pyannote[3977].end 24207.67409375
transcript.pyannote[3978].speaker SPEAKER_12
transcript.pyannote[3978].start 24208.04534375
transcript.pyannote[3978].end 24209.81721875
transcript.pyannote[3979].speaker SPEAKER_12
transcript.pyannote[3979].start 24210.79596875
transcript.pyannote[3979].end 24214.20471875
transcript.pyannote[3980].speaker SPEAKER_12
transcript.pyannote[3980].start 24214.57596875
transcript.pyannote[3980].end 24215.38596875
transcript.pyannote[3981].speaker SPEAKER_12
transcript.pyannote[3981].start 24215.89221875
transcript.pyannote[3981].end 24221.41034375
transcript.pyannote[3982].speaker SPEAKER_12
transcript.pyannote[3982].start 24221.84909375
transcript.pyannote[3982].end 24222.72659375
transcript.pyannote[3983].speaker SPEAKER_12
transcript.pyannote[3983].start 24224.46471875
transcript.pyannote[3983].end 24228.49784375
transcript.pyannote[3984].speaker SPEAKER_12
transcript.pyannote[3984].start 24229.18971875
transcript.pyannote[3984].end 24235.73721875
transcript.pyannote[3985].speaker SPEAKER_12
transcript.pyannote[3985].start 24235.87221875
transcript.pyannote[3985].end 24237.76221875
transcript.pyannote[3986].speaker SPEAKER_12
transcript.pyannote[3986].start 24238.20096875
transcript.pyannote[3986].end 24242.50409375
transcript.pyannote[3987].speaker SPEAKER_12
transcript.pyannote[3987].start 24243.19596875
transcript.pyannote[3987].end 24248.34284375
transcript.pyannote[3988].speaker SPEAKER_12
transcript.pyannote[3988].start 24248.79846875
transcript.pyannote[3988].end 24257.03346875
transcript.pyannote[3989].speaker SPEAKER_12
transcript.pyannote[3989].start 24258.36659375
transcript.pyannote[3989].end 24265.26846875
transcript.pyannote[3990].speaker SPEAKER_12
transcript.pyannote[3990].start 24266.06159375
transcript.pyannote[3990].end 24272.42346875
transcript.pyannote[3991].speaker SPEAKER_12
transcript.pyannote[3991].start 24273.25034375
transcript.pyannote[3991].end 24274.56659375
transcript.pyannote[3992].speaker SPEAKER_12
transcript.pyannote[3992].start 24275.46096875
transcript.pyannote[3992].end 24279.19034375
transcript.pyannote[3993].speaker SPEAKER_12
transcript.pyannote[3993].start 24280.16909375
transcript.pyannote[3993].end 24281.58659375
transcript.pyannote[3994].speaker SPEAKER_12
transcript.pyannote[3994].start 24282.09284375
transcript.pyannote[3994].end 24289.83846875
transcript.pyannote[3995].speaker SPEAKER_12
transcript.pyannote[3995].start 24291.27284375
transcript.pyannote[3995].end 24305.19471875
transcript.pyannote[3996].speaker SPEAKER_12
transcript.pyannote[3996].start 24306.32534375
transcript.pyannote[3996].end 24318.44159375
transcript.pyannote[3997].speaker SPEAKER_12
transcript.pyannote[3997].start 24318.84659375
transcript.pyannote[3997].end 24320.24721875
transcript.pyannote[3998].speaker SPEAKER_12
transcript.pyannote[3998].start 24322.05284375
transcript.pyannote[3998].end 24324.88784375
transcript.pyannote[3999].speaker SPEAKER_12
transcript.pyannote[3999].start 24325.78221875
transcript.pyannote[3999].end 24332.12721875
transcript.pyannote[4000].speaker SPEAKER_12
transcript.pyannote[4000].start 24333.05534375
transcript.pyannote[4000].end 24339.34971875
transcript.pyannote[4001].speaker SPEAKER_12
transcript.pyannote[4001].start 24340.76721875
transcript.pyannote[4001].end 24345.62721875
transcript.pyannote[4002].speaker SPEAKER_12
transcript.pyannote[4002].start 24346.74096875
transcript.pyannote[4002].end 24352.39409375
transcript.pyannote[4003].speaker SPEAKER_12
transcript.pyannote[4003].start 24352.84971875
transcript.pyannote[4003].end 24354.25034375
transcript.pyannote[4004].speaker SPEAKER_12
transcript.pyannote[4004].start 24354.63846875
transcript.pyannote[4004].end 24356.14034375
transcript.pyannote[4005].speaker SPEAKER_12
transcript.pyannote[4005].start 24356.64659375
transcript.pyannote[4005].end 24361.65846875
transcript.pyannote[4006].speaker SPEAKER_12
transcript.pyannote[4006].start 24362.14784375
transcript.pyannote[4006].end 24366.06284375
transcript.pyannote[4007].speaker SPEAKER_12
transcript.pyannote[4007].start 24367.17659375
transcript.pyannote[4007].end 24372.88034375
transcript.pyannote[4008].speaker SPEAKER_12
transcript.pyannote[4008].start 24373.47096875
transcript.pyannote[4008].end 24377.99346875
transcript.pyannote[4009].speaker SPEAKER_12
transcript.pyannote[4009].start 24379.20846875
transcript.pyannote[4009].end 24383.20784375
transcript.pyannote[4010].speaker SPEAKER_12
transcript.pyannote[4010].start 24384.35534375
transcript.pyannote[4010].end 24386.70096875
transcript.pyannote[4011].speaker SPEAKER_12
transcript.pyannote[4011].start 24387.24096875
transcript.pyannote[4011].end 24389.55284375
transcript.pyannote[4012].speaker SPEAKER_12
transcript.pyannote[4012].start 24390.80159375
transcript.pyannote[4012].end 24394.00784375
transcript.pyannote[4013].speaker SPEAKER_12
transcript.pyannote[4013].start 24395.23971875
transcript.pyannote[4013].end 24407.11971875
transcript.pyannote[4014].speaker SPEAKER_12
transcript.pyannote[4014].start 24407.49096875
transcript.pyannote[4014].end 24411.06846875
transcript.pyannote[4015].speaker SPEAKER_12
transcript.pyannote[4015].start 24411.43971875
transcript.pyannote[4015].end 24420.99096875
transcript.pyannote[4016].speaker SPEAKER_12
transcript.pyannote[4016].start 24421.73346875
transcript.pyannote[4016].end 24429.17534375
transcript.pyannote[4017].speaker SPEAKER_12
transcript.pyannote[4017].start 24430.66034375
transcript.pyannote[4017].end 24436.17846875
transcript.pyannote[4018].speaker SPEAKER_12
transcript.pyannote[4018].start 24437.41034375
transcript.pyannote[4018].end 24438.89534375
transcript.pyannote[4019].speaker SPEAKER_12
transcript.pyannote[4019].start 24440.02596875
transcript.pyannote[4019].end 24443.63721875
transcript.pyannote[4020].speaker SPEAKER_12
transcript.pyannote[4020].start 24446.48909375
transcript.pyannote[4020].end 24459.14534375
transcript.pyannote[4021].speaker SPEAKER_12
transcript.pyannote[4021].start 24459.55034375
transcript.pyannote[4021].end 24463.95471875
transcript.pyannote[4022].speaker SPEAKER_12
transcript.pyannote[4022].start 24465.49034375
transcript.pyannote[4022].end 24477.58971875
transcript.pyannote[4023].speaker SPEAKER_12
transcript.pyannote[4023].start 24479.83409375
transcript.pyannote[4023].end 24491.61284375
transcript.pyannote[4024].speaker SPEAKER_12
transcript.pyannote[4024].start 24493.68846875
transcript.pyannote[4024].end 24496.45596875
transcript.pyannote[4025].speaker SPEAKER_12
transcript.pyannote[4025].start 24497.58659375
transcript.pyannote[4025].end 24498.37971875
transcript.pyannote[4026].speaker SPEAKER_12
transcript.pyannote[4026].start 24499.05471875
transcript.pyannote[4026].end 24500.80971875
transcript.pyannote[4027].speaker SPEAKER_12
transcript.pyannote[4027].start 24501.51846875
transcript.pyannote[4027].end 24507.13784375
transcript.pyannote[4028].speaker SPEAKER_12
transcript.pyannote[4028].start 24507.64409375
transcript.pyannote[4028].end 24513.28034375
transcript.pyannote[4029].speaker SPEAKER_12
transcript.pyannote[4029].start 24513.70221875
transcript.pyannote[4029].end 24517.56659375
transcript.pyannote[4030].speaker SPEAKER_12
transcript.pyannote[4030].start 24518.46096875
transcript.pyannote[4030].end 24524.62034375
transcript.pyannote[4031].speaker SPEAKER_12
transcript.pyannote[4031].start 24525.93659375
transcript.pyannote[4031].end 24532.99034375
transcript.pyannote[4032].speaker SPEAKER_12
transcript.pyannote[4032].start 24533.36159375
transcript.pyannote[4032].end 24534.57659375
transcript.pyannote[4033].speaker SPEAKER_12
transcript.pyannote[4033].start 24534.66096875
transcript.pyannote[4033].end 24550.89471875
transcript.pyannote[4034].speaker SPEAKER_12
transcript.pyannote[4034].start 24551.55284375
transcript.pyannote[4034].end 24556.24409375
transcript.pyannote[4035].speaker SPEAKER_12
transcript.pyannote[4035].start 24557.34096875
transcript.pyannote[4035].end 24568.91721875
transcript.pyannote[4036].speaker SPEAKER_12
transcript.pyannote[4036].start 24570.99284375
transcript.pyannote[4036].end 24577.59096875
transcript.pyannote[4037].speaker SPEAKER_12
transcript.pyannote[4037].start 24578.13096875
transcript.pyannote[4037].end 24581.53971875
transcript.pyannote[4038].speaker SPEAKER_12
transcript.pyannote[4038].start 24582.23159375
transcript.pyannote[4038].end 24588.32346875
transcript.pyannote[4039].speaker SPEAKER_12
transcript.pyannote[4039].start 24588.82971875
transcript.pyannote[4039].end 24590.63534375
transcript.pyannote[4040].speaker SPEAKER_12
transcript.pyannote[4040].start 24591.25971875
transcript.pyannote[4040].end 24593.38596875
transcript.pyannote[4041].speaker SPEAKER_12
transcript.pyannote[4041].start 24594.28034375
transcript.pyannote[4041].end 24601.43534375
transcript.pyannote[4042].speaker SPEAKER_12
transcript.pyannote[4042].start 24602.09346875
transcript.pyannote[4042].end 24604.79346875
transcript.pyannote[4043].speaker SPEAKER_12
transcript.pyannote[4043].start 24606.80159375
transcript.pyannote[4043].end 24616.75784375
transcript.pyannote[4044].speaker SPEAKER_12
transcript.pyannote[4044].start 24617.34846875
transcript.pyannote[4044].end 24619.17096875
transcript.pyannote[4045].speaker SPEAKER_12
transcript.pyannote[4045].start 24620.43659375
transcript.pyannote[4045].end 24638.50971875
transcript.pyannote[4046].speaker SPEAKER_12
transcript.pyannote[4046].start 24639.38721875
transcript.pyannote[4046].end 24640.83846875
transcript.pyannote[4047].speaker SPEAKER_12
transcript.pyannote[4047].start 24641.10846875
transcript.pyannote[4047].end 24643.18409375
transcript.pyannote[4048].speaker SPEAKER_12
transcript.pyannote[4048].start 24644.83784375
transcript.pyannote[4048].end 24654.28784375
transcript.pyannote[4049].speaker SPEAKER_12
transcript.pyannote[4049].start 24654.82784375
transcript.pyannote[4049].end 24670.03221875
transcript.pyannote[4050].speaker SPEAKER_12
transcript.pyannote[4050].start 24671.21346875
transcript.pyannote[4050].end 24678.03096875
transcript.pyannote[4051].speaker SPEAKER_12
transcript.pyannote[4051].start 24678.58784375
transcript.pyannote[4051].end 24679.17846875
transcript.pyannote[4052].speaker SPEAKER_12
transcript.pyannote[4052].start 24681.86159375
transcript.pyannote[4052].end 24683.14409375
transcript.pyannote[4053].speaker SPEAKER_12
transcript.pyannote[4053].start 24684.61221875
transcript.pyannote[4053].end 24688.03784375
transcript.pyannote[4054].speaker SPEAKER_12
transcript.pyannote[4054].start 24689.55659375
transcript.pyannote[4054].end 24694.53471875
transcript.pyannote[4055].speaker SPEAKER_12
transcript.pyannote[4055].start 24695.74971875
transcript.pyannote[4055].end 24697.13346875
transcript.pyannote[4056].speaker SPEAKER_12
transcript.pyannote[4056].start 24702.01034375
transcript.pyannote[4056].end 24705.31784375
transcript.pyannote[4057].speaker SPEAKER_12
transcript.pyannote[4057].start 24706.88721875
transcript.pyannote[4057].end 24711.56159375
transcript.pyannote[4058].speaker SPEAKER_12
transcript.pyannote[4058].start 24712.70909375
transcript.pyannote[4058].end 24716.60721875
transcript.pyannote[4059].speaker SPEAKER_12
transcript.pyannote[4059].start 24719.30721875
transcript.pyannote[4059].end 24719.91471875
transcript.pyannote[4060].speaker SPEAKER_12
transcript.pyannote[4060].start 24724.45409375
transcript.pyannote[4060].end 24728.70659375
transcript.pyannote[4061].speaker SPEAKER_12
transcript.pyannote[4061].start 24732.63846875
transcript.pyannote[4061].end 24734.00534375
transcript.pyannote[4062].speaker SPEAKER_12
transcript.pyannote[4062].start 24734.59596875
transcript.pyannote[4062].end 24736.53659375
transcript.pyannote[4063].speaker SPEAKER_12
transcript.pyannote[4063].start 24738.07221875
transcript.pyannote[4063].end 24742.81409375
transcript.pyannote[4064].speaker SPEAKER_12
transcript.pyannote[4064].start 24743.45534375
transcript.pyannote[4064].end 24744.90659375
transcript.pyannote[4065].speaker SPEAKER_12
transcript.pyannote[4065].start 24745.04159375
transcript.pyannote[4065].end 24756.93846875
transcript.pyannote[4066].speaker SPEAKER_12
transcript.pyannote[4066].start 24758.52471875
transcript.pyannote[4066].end 24760.41471875
transcript.pyannote[4067].speaker SPEAKER_12
transcript.pyannote[4067].start 24762.42284375
transcript.pyannote[4067].end 24764.12721875
transcript.pyannote[4068].speaker SPEAKER_12
transcript.pyannote[4068].start 24765.94971875
transcript.pyannote[4068].end 24772.83471875
transcript.pyannote[4069].speaker SPEAKER_12
transcript.pyannote[4069].start 24776.42909375
transcript.pyannote[4069].end 24788.34284375
transcript.pyannote[4070].speaker SPEAKER_12
transcript.pyannote[4070].start 24789.13596875
transcript.pyannote[4070].end 24792.98346875
transcript.pyannote[4071].speaker SPEAKER_12
transcript.pyannote[4071].start 24796.00409375
transcript.pyannote[4071].end 24809.36909375
transcript.pyannote[4072].speaker SPEAKER_12
transcript.pyannote[4072].start 24811.49534375
transcript.pyannote[4072].end 24821.85659375
transcript.pyannote[4073].speaker SPEAKER_12
transcript.pyannote[4073].start 24824.47221875
transcript.pyannote[4073].end 24825.24846875
transcript.pyannote[4074].speaker SPEAKER_12
transcript.pyannote[4074].start 24828.48846875
transcript.pyannote[4074].end 24830.22659375
transcript.pyannote[4075].speaker SPEAKER_12
transcript.pyannote[4075].start 24831.03659375
transcript.pyannote[4075].end 24832.13346875
transcript.pyannote[4076].speaker SPEAKER_12
transcript.pyannote[4076].start 24832.30221875
transcript.pyannote[4076].end 24833.48346875
transcript.pyannote[4077].speaker SPEAKER_12
transcript.pyannote[4077].start 24834.04034375
transcript.pyannote[4077].end 24834.88409375
transcript.pyannote[4078].speaker SPEAKER_12
transcript.pyannote[4078].start 24835.59284375
transcript.pyannote[4078].end 24836.72346875
transcript.pyannote[4079].speaker SPEAKER_12
transcript.pyannote[4079].start 24838.03971875
transcript.pyannote[4079].end 24843.96284375
transcript.pyannote[4080].speaker SPEAKER_12
transcript.pyannote[4080].start 24844.89096875
transcript.pyannote[4080].end 24845.66721875
transcript.pyannote[4081].speaker SPEAKER_12
transcript.pyannote[4081].start 24846.86534375
transcript.pyannote[4081].end 24849.14346875
transcript.pyannote[4082].speaker SPEAKER_12
transcript.pyannote[4082].start 24851.23596875
transcript.pyannote[4082].end 24851.97846875
transcript.pyannote[4083].speaker SPEAKER_12
transcript.pyannote[4083].start 24852.31596875
transcript.pyannote[4083].end 24858.35721875
transcript.pyannote[4084].speaker SPEAKER_12
transcript.pyannote[4084].start 24862.47471875
transcript.pyannote[4084].end 24871.82346875
transcript.pyannote[4085].speaker SPEAKER_12
transcript.pyannote[4085].start 24875.35034375
transcript.pyannote[4085].end 24887.36534375
transcript.pyannote[4086].speaker SPEAKER_12
transcript.pyannote[4086].start 24888.78284375
transcript.pyannote[4086].end 24904.86471875
transcript.pyannote[4087].speaker SPEAKER_12
transcript.pyannote[4087].start 24907.32846875
transcript.pyannote[4087].end 24912.12096875
transcript.pyannote[4088].speaker SPEAKER_12
transcript.pyannote[4088].start 24912.59346875
transcript.pyannote[4088].end 24918.22971875
transcript.pyannote[4089].speaker SPEAKER_12
transcript.pyannote[4089].start 24919.93409375
transcript.pyannote[4089].end 24920.69346875
transcript.pyannote[4090].speaker SPEAKER_12
transcript.pyannote[4090].start 24921.30096875
transcript.pyannote[4090].end 24926.43096875
transcript.pyannote[4091].speaker SPEAKER_12
transcript.pyannote[4091].start 24927.07221875
transcript.pyannote[4091].end 24933.21471875
transcript.pyannote[4092].speaker SPEAKER_12
transcript.pyannote[4092].start 24937.06221875
transcript.pyannote[4092].end 24948.46971875
transcript.pyannote[4093].speaker SPEAKER_12
transcript.pyannote[4093].start 24949.58346875
transcript.pyannote[4093].end 24953.02596875
transcript.pyannote[4094].speaker SPEAKER_12
transcript.pyannote[4094].start 24954.02159375
transcript.pyannote[4094].end 24955.77659375
transcript.pyannote[4095].speaker SPEAKER_12
transcript.pyannote[4095].start 24957.24471875
transcript.pyannote[4095].end 24964.02846875
transcript.pyannote[4096].speaker SPEAKER_12
transcript.pyannote[4096].start 24964.31534375
transcript.pyannote[4096].end 24970.37346875
transcript.pyannote[4097].speaker SPEAKER_12
transcript.pyannote[4097].start 24970.87971875
transcript.pyannote[4097].end 24979.60409375
transcript.pyannote[4098].speaker SPEAKER_12
transcript.pyannote[4098].start 24982.21971875
transcript.pyannote[4098].end 24983.33346875
transcript.pyannote[4099].speaker SPEAKER_12
transcript.pyannote[4099].start 24984.63284375
transcript.pyannote[4099].end 24986.16846875
transcript.pyannote[4100].speaker SPEAKER_12
transcript.pyannote[4100].start 24986.37096875
transcript.pyannote[4100].end 24991.28159375
transcript.pyannote[4101].speaker SPEAKER_12
transcript.pyannote[4101].start 24993.62721875
transcript.pyannote[4101].end 24994.79159375
transcript.pyannote[4102].speaker SPEAKER_12
transcript.pyannote[4102].start 24994.92659375
transcript.pyannote[4102].end 25001.15346875
transcript.pyannote[4103].speaker SPEAKER_12
transcript.pyannote[4103].start 25001.62596875
transcript.pyannote[4103].end 25005.37221875
transcript.pyannote[4104].speaker SPEAKER_12
transcript.pyannote[4104].start 25006.84034375
transcript.pyannote[4104].end 25014.60284375
transcript.pyannote[4105].speaker SPEAKER_12
transcript.pyannote[4105].start 25015.04159375
transcript.pyannote[4105].end 25015.86846875
transcript.pyannote[4106].speaker SPEAKER_12
transcript.pyannote[4106].start 25016.84721875
transcript.pyannote[4106].end 25027.09034375
transcript.pyannote[4107].speaker SPEAKER_12
transcript.pyannote[4107].start 25029.45284375
transcript.pyannote[4107].end 25037.99159375
transcript.pyannote[4108].speaker SPEAKER_12
transcript.pyannote[4108].start 25040.48909375
transcript.pyannote[4108].end 25052.21721875
transcript.pyannote[4109].speaker SPEAKER_12
transcript.pyannote[4109].start 25053.01034375
transcript.pyannote[4109].end 25057.11096875
transcript.pyannote[4110].speaker SPEAKER_12
transcript.pyannote[4110].start 25059.59159375
transcript.pyannote[4110].end 25066.27409375
transcript.pyannote[4111].speaker SPEAKER_12
transcript.pyannote[4111].start 25066.54409375
transcript.pyannote[4111].end 25069.32846875
transcript.pyannote[4112].speaker SPEAKER_12
transcript.pyannote[4112].start 25071.16784375
transcript.pyannote[4112].end 25079.87534375
transcript.pyannote[4113].speaker SPEAKER_12
transcript.pyannote[4113].start 25081.07346875
transcript.pyannote[4113].end 25084.90409375
transcript.pyannote[4114].speaker SPEAKER_12
transcript.pyannote[4114].start 25087.04721875
transcript.pyannote[4114].end 25096.00784375
transcript.pyannote[4115].speaker SPEAKER_12
transcript.pyannote[4115].start 25096.68284375
transcript.pyannote[4115].end 25101.47534375
transcript.pyannote[4116].speaker SPEAKER_12
transcript.pyannote[4116].start 25103.16284375
transcript.pyannote[4116].end 25108.37721875
transcript.pyannote[4117].speaker SPEAKER_12
transcript.pyannote[4117].start 25108.83284375
transcript.pyannote[4117].end 25113.59159375
transcript.pyannote[4118].speaker SPEAKER_12
transcript.pyannote[4118].start 25114.01346875
transcript.pyannote[4118].end 25122.21471875
transcript.pyannote[4119].speaker SPEAKER_12
transcript.pyannote[4119].start 25124.96534375
transcript.pyannote[4119].end 25130.82096875
transcript.pyannote[4120].speaker SPEAKER_12
transcript.pyannote[4120].start 25131.12471875
transcript.pyannote[4120].end 25133.16659375
transcript.pyannote[4121].speaker SPEAKER_12
transcript.pyannote[4121].start 25133.89221875
transcript.pyannote[4121].end 25142.31284375
transcript.pyannote[4122].speaker SPEAKER_12
transcript.pyannote[4122].start 25144.23659375
transcript.pyannote[4122].end 25155.52596875
transcript.pyannote[4123].speaker SPEAKER_12
transcript.pyannote[4123].start 25157.71971875
transcript.pyannote[4123].end 25158.09096875
transcript.pyannote[4124].speaker SPEAKER_12
transcript.pyannote[4124].start 25159.05284375
transcript.pyannote[4124].end 25161.33096875
transcript.pyannote[4125].speaker SPEAKER_12
transcript.pyannote[4125].start 25163.60909375
transcript.pyannote[4125].end 25177.54784375
transcript.pyannote[4126].speaker SPEAKER_12
transcript.pyannote[4126].start 25178.89784375
transcript.pyannote[4126].end 25180.82159375
transcript.pyannote[4127].speaker SPEAKER_12
transcript.pyannote[4127].start 25182.69471875
transcript.pyannote[4127].end 25186.44096875
transcript.pyannote[4128].speaker SPEAKER_12
transcript.pyannote[4128].start 25187.36909375
transcript.pyannote[4128].end 25194.72659375
transcript.pyannote[4129].speaker SPEAKER_12
transcript.pyannote[4129].start 25195.85721875
transcript.pyannote[4129].end 25199.87346875
transcript.pyannote[4130].speaker SPEAKER_12
transcript.pyannote[4130].start 25200.63284375
transcript.pyannote[4130].end 25205.49284375
transcript.pyannote[4131].speaker SPEAKER_12
transcript.pyannote[4131].start 25211.07846875
transcript.pyannote[4131].end 25212.86721875
transcript.pyannote[4132].speaker SPEAKER_12
transcript.pyannote[4132].start 25213.96409375
transcript.pyannote[4132].end 25219.38096875
transcript.pyannote[4133].speaker SPEAKER_12
transcript.pyannote[4133].start 25220.17409375
transcript.pyannote[4133].end 25232.00346875
transcript.pyannote[4134].speaker SPEAKER_12
transcript.pyannote[4134].start 25233.31971875
transcript.pyannote[4134].end 25238.14596875
transcript.pyannote[4135].speaker SPEAKER_12
transcript.pyannote[4135].start 25238.93909375
transcript.pyannote[4135].end 25245.14909375
transcript.pyannote[4136].speaker SPEAKER_12
transcript.pyannote[4136].start 25245.75659375
transcript.pyannote[4136].end 25251.05534375
transcript.pyannote[4137].speaker SPEAKER_12
transcript.pyannote[4137].start 25251.37596875
transcript.pyannote[4137].end 25253.01284375
transcript.pyannote[4138].speaker SPEAKER_12
transcript.pyannote[4138].start 25254.16034375
transcript.pyannote[4138].end 25265.58471875
transcript.pyannote[4139].speaker SPEAKER_12
transcript.pyannote[4139].start 25266.27659375
transcript.pyannote[4139].end 25270.24221875
transcript.pyannote[4140].speaker SPEAKER_12
transcript.pyannote[4140].start 25272.09846875
transcript.pyannote[4140].end 25292.78721875
transcript.pyannote[4141].speaker SPEAKER_12
transcript.pyannote[4141].start 25294.15409375
transcript.pyannote[4141].end 25303.75596875
transcript.pyannote[4142].speaker SPEAKER_12
transcript.pyannote[4142].start 25304.75159375
transcript.pyannote[4142].end 25309.61159375
transcript.pyannote[4143].speaker SPEAKER_12
transcript.pyannote[4143].start 25310.97846875
transcript.pyannote[4143].end 25319.87159375
transcript.pyannote[4144].speaker SPEAKER_12
transcript.pyannote[4144].start 25320.17534375
transcript.pyannote[4144].end 25326.03096875
transcript.pyannote[4145].speaker SPEAKER_12
transcript.pyannote[4145].start 25326.62159375
transcript.pyannote[4145].end 25328.27534375
transcript.pyannote[4146].speaker SPEAKER_12
transcript.pyannote[4146].start 25332.96659375
transcript.pyannote[4146].end 25336.96596875
transcript.pyannote[4147].speaker SPEAKER_12
transcript.pyannote[4147].start 25337.67471875
transcript.pyannote[4147].end 25349.23409375
transcript.pyannote[4148].speaker SPEAKER_12
transcript.pyannote[4148].start 25350.58409375
transcript.pyannote[4148].end 25358.83596875
transcript.pyannote[4149].speaker SPEAKER_12
transcript.pyannote[4149].start 25359.51096875
transcript.pyannote[4149].end 25363.20659375
transcript.pyannote[4150].speaker SPEAKER_12
transcript.pyannote[4150].start 25364.77596875
transcript.pyannote[4150].end 25366.86846875
transcript.pyannote[4151].speaker SPEAKER_12
transcript.pyannote[4151].start 25366.96971875
transcript.pyannote[4151].end 25368.57284375
transcript.pyannote[4152].speaker SPEAKER_12
transcript.pyannote[4152].start 25369.58534375
transcript.pyannote[4152].end 25374.73221875
transcript.pyannote[4153].speaker SPEAKER_12
transcript.pyannote[4153].start 25375.93034375
transcript.pyannote[4153].end 25384.23284375
transcript.pyannote[4154].speaker SPEAKER_12
transcript.pyannote[4154].start 25384.77284375
transcript.pyannote[4154].end 25386.51096875
transcript.pyannote[4155].speaker SPEAKER_12
transcript.pyannote[4155].start 25387.82721875
transcript.pyannote[4155].end 25390.25721875
transcript.pyannote[4156].speaker SPEAKER_12
transcript.pyannote[4156].start 25390.94909375
transcript.pyannote[4156].end 25393.86846875
transcript.pyannote[4157].speaker SPEAKER_12
transcript.pyannote[4157].start 25394.50971875
transcript.pyannote[4157].end 25400.17971875
transcript.pyannote[4158].speaker SPEAKER_12
transcript.pyannote[4158].start 25401.00659375
transcript.pyannote[4158].end 25404.44909375
transcript.pyannote[4159].speaker SPEAKER_12
transcript.pyannote[4159].start 25406.33909375
transcript.pyannote[4159].end 25407.45284375
transcript.pyannote[4160].speaker SPEAKER_12
transcript.pyannote[4160].start 25408.22909375
transcript.pyannote[4160].end 25414.06784375
transcript.pyannote[4161].speaker SPEAKER_12
transcript.pyannote[4161].start 25414.70909375
transcript.pyannote[4161].end 25415.48534375
transcript.pyannote[4162].speaker SPEAKER_12
transcript.pyannote[4162].start 25415.85659375
transcript.pyannote[4162].end 25417.05471875
transcript.pyannote[4163].speaker SPEAKER_12
transcript.pyannote[4163].start 25417.56096875
transcript.pyannote[4163].end 25420.29471875
transcript.pyannote[4164].speaker SPEAKER_12
transcript.pyannote[4164].start 25423.04534375
transcript.pyannote[4164].end 25439.53221875
transcript.pyannote[4165].speaker SPEAKER_12
transcript.pyannote[4165].start 25440.20721875
transcript.pyannote[4165].end 25444.25721875
transcript.pyannote[4166].speaker SPEAKER_12
transcript.pyannote[4166].start 25446.14721875
transcript.pyannote[4166].end 25449.28596875
transcript.pyannote[4167].speaker SPEAKER_12
transcript.pyannote[4167].start 25450.23096875
transcript.pyannote[4167].end 25459.24221875
transcript.pyannote[4168].speaker SPEAKER_12
transcript.pyannote[4168].start 25461.80721875
transcript.pyannote[4168].end 25465.45221875
transcript.pyannote[4169].speaker SPEAKER_12
transcript.pyannote[4169].start 25465.90784375
transcript.pyannote[4169].end 25467.62909375
transcript.pyannote[4170].speaker SPEAKER_12
transcript.pyannote[4170].start 25468.48971875
transcript.pyannote[4170].end 25471.47659375
transcript.pyannote[4171].speaker SPEAKER_12
transcript.pyannote[4171].start 25471.86471875
transcript.pyannote[4171].end 25475.50971875
transcript.pyannote[4172].speaker SPEAKER_12
transcript.pyannote[4172].start 25477.23096875
transcript.pyannote[4172].end 25484.74034375
transcript.pyannote[4173].speaker SPEAKER_12
transcript.pyannote[4173].start 25486.52909375
transcript.pyannote[4173].end 25487.23784375
transcript.pyannote[4174].speaker SPEAKER_12
transcript.pyannote[4174].start 25487.64284375
transcript.pyannote[4174].end 25492.16534375
transcript.pyannote[4175].speaker SPEAKER_12
transcript.pyannote[4175].start 25493.70096875
transcript.pyannote[4175].end 25497.81846875
transcript.pyannote[4176].speaker SPEAKER_12
transcript.pyannote[4176].start 25498.39221875
transcript.pyannote[4176].end 25500.51846875
transcript.pyannote[4177].speaker SPEAKER_12
transcript.pyannote[4177].start 25500.85596875
transcript.pyannote[4177].end 25508.48346875
transcript.pyannote[4178].speaker SPEAKER_12
transcript.pyannote[4178].start 25510.60971875
transcript.pyannote[4178].end 25522.08471875
transcript.pyannote[4179].speaker SPEAKER_12
transcript.pyannote[4179].start 25523.46846875
transcript.pyannote[4179].end 25525.25721875
transcript.pyannote[4180].speaker SPEAKER_12
transcript.pyannote[4180].start 25525.64534375
transcript.pyannote[4180].end 25535.24721875
transcript.pyannote[4181].speaker SPEAKER_12
transcript.pyannote[4181].start 25535.87159375
transcript.pyannote[4181].end 25542.13221875
transcript.pyannote[4182].speaker SPEAKER_12
transcript.pyannote[4182].start 25543.22909375
transcript.pyannote[4182].end 25547.07659375
transcript.pyannote[4183].speaker SPEAKER_12
transcript.pyannote[4183].start 25547.73471875
transcript.pyannote[4183].end 25549.54034375
transcript.pyannote[4184].speaker SPEAKER_12
transcript.pyannote[4184].start 25551.21096875
transcript.pyannote[4184].end 25557.01596875
transcript.pyannote[4185].speaker SPEAKER_12
transcript.pyannote[4185].start 25557.74159375
transcript.pyannote[4185].end 25559.17596875
transcript.pyannote[4186].speaker SPEAKER_12
transcript.pyannote[4186].start 25559.95221875
transcript.pyannote[4186].end 25564.67721875
transcript.pyannote[4187].speaker SPEAKER_12
transcript.pyannote[4187].start 25565.06534375
transcript.pyannote[4187].end 25569.21659375
transcript.pyannote[4188].speaker SPEAKER_12
transcript.pyannote[4188].start 25569.62159375
transcript.pyannote[4188].end 25570.90409375
transcript.pyannote[4189].speaker SPEAKER_12
transcript.pyannote[4189].start 25572.18659375
transcript.pyannote[4189].end 25573.77284375
transcript.pyannote[4190].speaker SPEAKER_12
transcript.pyannote[4190].start 25574.59971875
transcript.pyannote[4190].end 25579.99971875
transcript.pyannote[4191].speaker SPEAKER_12
transcript.pyannote[4191].start 25580.74221875
transcript.pyannote[4191].end 25585.56846875
transcript.pyannote[4192].speaker SPEAKER_12
transcript.pyannote[4192].start 25586.04096875
transcript.pyannote[4192].end 25590.17534375
transcript.pyannote[4193].speaker SPEAKER_12
transcript.pyannote[4193].start 25591.05284375
transcript.pyannote[4193].end 25592.90909375
transcript.pyannote[4194].speaker SPEAKER_12
transcript.pyannote[4194].start 25593.83721875
transcript.pyannote[4194].end 25600.57034375
transcript.pyannote[4195].speaker SPEAKER_12
transcript.pyannote[4195].start 25604.04659375
transcript.pyannote[4195].end 25607.92784375
transcript.pyannote[4196].speaker SPEAKER_12
transcript.pyannote[4196].start 25609.42971875
transcript.pyannote[4196].end 25620.66846875
transcript.pyannote[4197].speaker SPEAKER_12
transcript.pyannote[4197].start 25621.14096875
transcript.pyannote[4197].end 25625.78159375
transcript.pyannote[4198].speaker SPEAKER_12
transcript.pyannote[4198].start 25627.80659375
transcript.pyannote[4198].end 25628.43096875
transcript.pyannote[4199].speaker SPEAKER_12
transcript.pyannote[4199].start 25628.71784375
transcript.pyannote[4199].end 25638.67409375
transcript.pyannote[4200].speaker SPEAKER_12
transcript.pyannote[4200].start 25638.89346875
transcript.pyannote[4200].end 25642.90971875
transcript.pyannote[4201].speaker SPEAKER_12
transcript.pyannote[4201].start 25644.39471875
transcript.pyannote[4201].end 25652.49471875
transcript.pyannote[4202].speaker SPEAKER_12
transcript.pyannote[4202].start 25655.51534375
transcript.pyannote[4202].end 25657.03409375
transcript.pyannote[4203].speaker SPEAKER_12
transcript.pyannote[4203].start 25657.57409375
transcript.pyannote[4203].end 25665.35346875
transcript.pyannote[4204].speaker SPEAKER_12
transcript.pyannote[4204].start 25666.73721875
transcript.pyannote[4204].end 25667.71596875
transcript.pyannote[4205].speaker SPEAKER_12
transcript.pyannote[4205].start 25667.81721875
transcript.pyannote[4205].end 25669.28534375
transcript.pyannote[4206].speaker SPEAKER_12
transcript.pyannote[4206].start 25670.06159375
transcript.pyannote[4206].end 25675.68096875
transcript.pyannote[4207].speaker SPEAKER_12
transcript.pyannote[4207].start 25676.44034375
transcript.pyannote[4207].end 25678.54971875
transcript.pyannote[4208].speaker SPEAKER_12
transcript.pyannote[4208].start 25679.86596875
transcript.pyannote[4208].end 25686.12659375
transcript.pyannote[4209].speaker SPEAKER_12
transcript.pyannote[4209].start 25686.51471875
transcript.pyannote[4209].end 25691.93159375
transcript.pyannote[4210].speaker SPEAKER_12
transcript.pyannote[4210].start 25694.73284375
transcript.pyannote[4210].end 25698.17534375
transcript.pyannote[4211].speaker SPEAKER_12
transcript.pyannote[4211].start 25698.22596875
transcript.pyannote[4211].end 25717.61534375
transcript.pyannote[4212].speaker SPEAKER_12
transcript.pyannote[4212].start 25719.06659375
transcript.pyannote[4212].end 25723.06596875
transcript.pyannote[4213].speaker SPEAKER_12
transcript.pyannote[4213].start 25723.50471875
transcript.pyannote[4213].end 25728.78659375
transcript.pyannote[4214].speaker SPEAKER_12
transcript.pyannote[4214].start 25729.14096875
transcript.pyannote[4214].end 25733.91659375
transcript.pyannote[4215].speaker SPEAKER_12
transcript.pyannote[4215].start 25735.62096875
transcript.pyannote[4215].end 25748.49659375
transcript.pyannote[4216].speaker SPEAKER_12
transcript.pyannote[4216].start 25750.06596875
transcript.pyannote[4216].end 25752.12471875
transcript.pyannote[4217].speaker SPEAKER_12
transcript.pyannote[4217].start 25754.65596875
transcript.pyannote[4217].end 25760.20784375
transcript.pyannote[4218].speaker SPEAKER_12
transcript.pyannote[4218].start 25760.83221875
transcript.pyannote[4218].end 25762.33409375
transcript.pyannote[4219].speaker SPEAKER_12
transcript.pyannote[4219].start 25762.77284375
transcript.pyannote[4219].end 25768.03784375
transcript.pyannote[4220].speaker SPEAKER_12
transcript.pyannote[4220].start 25769.72534375
transcript.pyannote[4220].end 25771.91909375
transcript.pyannote[4221].speaker SPEAKER_12
transcript.pyannote[4221].start 25772.96534375
transcript.pyannote[4221].end 25778.68596875
transcript.pyannote[4222].speaker SPEAKER_12
transcript.pyannote[4222].start 25779.93471875
transcript.pyannote[4222].end 25781.09909375
transcript.pyannote[4223].speaker SPEAKER_12
transcript.pyannote[4223].start 25782.02721875
transcript.pyannote[4223].end 25791.34221875
transcript.pyannote[4224].speaker SPEAKER_12
transcript.pyannote[4224].start 25792.25346875
transcript.pyannote[4224].end 25802.86784375
transcript.pyannote[4225].speaker SPEAKER_12
transcript.pyannote[4225].start 25804.42034375
transcript.pyannote[4225].end 25810.84971875
transcript.pyannote[4226].speaker SPEAKER_12
transcript.pyannote[4226].start 25811.17034375
transcript.pyannote[4226].end 25812.60471875
transcript.pyannote[4227].speaker SPEAKER_12
transcript.pyannote[4227].start 25813.12784375
transcript.pyannote[4227].end 25813.19534375
transcript.pyannote[4228].speaker SPEAKER_12
transcript.pyannote[4228].start 25813.90409375
transcript.pyannote[4228].end 25817.54909375
transcript.pyannote[4229].speaker SPEAKER_12
transcript.pyannote[4229].start 25818.02159375
transcript.pyannote[4229].end 25824.11346875
transcript.pyannote[4230].speaker SPEAKER_12
transcript.pyannote[4230].start 25825.26096875
transcript.pyannote[4230].end 25827.30284375
transcript.pyannote[4231].speaker SPEAKER_12
transcript.pyannote[4231].start 25827.99471875
transcript.pyannote[4231].end 25829.68221875
transcript.pyannote[4232].speaker SPEAKER_12
transcript.pyannote[4232].start 25830.79596875
transcript.pyannote[4232].end 25835.97659375
transcript.pyannote[4233].speaker SPEAKER_12
transcript.pyannote[4233].start 25836.19596875
transcript.pyannote[4233].end 25839.31784375
transcript.pyannote[4234].speaker SPEAKER_12
transcript.pyannote[4234].start 25839.97596875
transcript.pyannote[4234].end 25842.50721875
transcript.pyannote[4235].speaker SPEAKER_12
transcript.pyannote[4235].start 25842.74346875
transcript.pyannote[4235].end 25844.70096875
transcript.pyannote[4236].speaker SPEAKER_12
transcript.pyannote[4236].start 25845.20721875
transcript.pyannote[4236].end 25847.18159375
transcript.pyannote[4237].speaker SPEAKER_12
transcript.pyannote[4237].start 25847.70471875
transcript.pyannote[4237].end 25848.59909375
transcript.pyannote[4238].speaker SPEAKER_12
transcript.pyannote[4238].start 25849.10534375
transcript.pyannote[4238].end 25854.96096875
transcript.pyannote[4239].speaker SPEAKER_12
transcript.pyannote[4239].start 25855.90596875
transcript.pyannote[4239].end 25858.72409375
transcript.pyannote[4240].speaker SPEAKER_12
transcript.pyannote[4240].start 25859.09534375
transcript.pyannote[4240].end 25861.55909375
transcript.pyannote[4241].speaker SPEAKER_12
transcript.pyannote[4241].start 25866.57096875
transcript.pyannote[4241].end 25882.45034375
transcript.pyannote[4242].speaker SPEAKER_12
transcript.pyannote[4242].start 25884.34034375
transcript.pyannote[4242].end 25889.18346875
transcript.pyannote[4243].speaker SPEAKER_12
transcript.pyannote[4243].start 25889.80784375
transcript.pyannote[4243].end 25891.71471875
transcript.pyannote[4244].speaker SPEAKER_12
transcript.pyannote[4244].start 25892.28846875
transcript.pyannote[4244].end 25896.35534375
transcript.pyannote[4245].speaker SPEAKER_12
transcript.pyannote[4245].start 25897.77284375
transcript.pyannote[4245].end 25902.56534375
transcript.pyannote[4246].speaker SPEAKER_12
transcript.pyannote[4246].start 25903.10534375
transcript.pyannote[4246].end 25910.69909375
transcript.pyannote[4247].speaker SPEAKER_12
transcript.pyannote[4247].start 25910.98596875
transcript.pyannote[4247].end 25915.23846875
transcript.pyannote[4248].speaker SPEAKER_12
transcript.pyannote[4248].start 25916.62221875
transcript.pyannote[4248].end 25918.76534375
transcript.pyannote[4249].speaker SPEAKER_12
transcript.pyannote[4249].start 25919.33909375
transcript.pyannote[4249].end 25928.65409375
transcript.pyannote[4250].speaker SPEAKER_12
transcript.pyannote[4250].start 25929.85221875
transcript.pyannote[4250].end 25931.01659375
transcript.pyannote[4251].speaker SPEAKER_12
transcript.pyannote[4251].start 25932.87284375
transcript.pyannote[4251].end 25944.12846875
transcript.pyannote[4252].speaker SPEAKER_12
transcript.pyannote[4252].start 25945.20846875
transcript.pyannote[4252].end 25946.65971875
transcript.pyannote[4253].speaker SPEAKER_12
transcript.pyannote[4253].start 25947.70596875
transcript.pyannote[4253].end 25957.52721875
transcript.pyannote[4254].speaker SPEAKER_12
transcript.pyannote[4254].start 25958.70846875
transcript.pyannote[4254].end 25961.99909375
transcript.pyannote[4255].speaker SPEAKER_12
transcript.pyannote[4255].start 25964.74971875
transcript.pyannote[4255].end 25966.97721875
transcript.pyannote[4256].speaker SPEAKER_12
transcript.pyannote[4256].start 25967.17971875
transcript.pyannote[4256].end 25967.19659375
transcript.pyannote[4257].speaker SPEAKER_12
transcript.pyannote[4257].start 25967.21346875
transcript.pyannote[4257].end 25971.88784375
transcript.pyannote[4258].speaker SPEAKER_12
transcript.pyannote[4258].start 25972.17471875
transcript.pyannote[4258].end 25984.86471875
transcript.pyannote[4259].speaker SPEAKER_12
transcript.pyannote[4259].start 25986.28221875
transcript.pyannote[4259].end 25995.02346875
transcript.pyannote[4260].speaker SPEAKER_12
transcript.pyannote[4260].start 25995.56346875
transcript.pyannote[4260].end 26003.81534375
transcript.pyannote[4261].speaker SPEAKER_12
transcript.pyannote[4261].start 26005.30034375
transcript.pyannote[4261].end 26020.77471875
transcript.pyannote[4262].speaker SPEAKER_12
transcript.pyannote[4262].start 26021.09534375
transcript.pyannote[4262].end 26026.52909375
transcript.pyannote[4263].speaker SPEAKER_12
transcript.pyannote[4263].start 26027.92971875
transcript.pyannote[4263].end 26028.84096875
transcript.pyannote[4264].speaker SPEAKER_12
transcript.pyannote[4264].start 26028.97596875
transcript.pyannote[4264].end 26031.30471875
transcript.pyannote[4265].speaker SPEAKER_12
transcript.pyannote[4265].start 26032.23284375
transcript.pyannote[4265].end 26036.80596875
transcript.pyannote[4266].speaker SPEAKER_12
transcript.pyannote[4266].start 26037.22784375
transcript.pyannote[4266].end 26038.24034375
transcript.pyannote[4267].speaker SPEAKER_12
transcript.pyannote[4267].start 26038.83096875
transcript.pyannote[4267].end 26039.75909375
transcript.pyannote[4268].speaker SPEAKER_12
transcript.pyannote[4268].start 26040.36659375
transcript.pyannote[4268].end 26042.37471875
transcript.pyannote[4269].speaker SPEAKER_12
transcript.pyannote[4269].start 26044.11284375
transcript.pyannote[4269].end 26049.12471875
transcript.pyannote[4270].speaker SPEAKER_12
transcript.pyannote[4270].start 26049.71534375
transcript.pyannote[4270].end 26055.26721875
transcript.pyannote[4271].speaker SPEAKER_12
transcript.pyannote[4271].start 26058.28784375
transcript.pyannote[4271].end 26072.54721875
transcript.pyannote[4272].speaker SPEAKER_12
transcript.pyannote[4272].start 26074.28534375
transcript.pyannote[4272].end 26076.47909375
transcript.pyannote[4273].speaker SPEAKER_12
transcript.pyannote[4273].start 26076.78284375
transcript.pyannote[4273].end 26078.04846875
transcript.pyannote[4274].speaker SPEAKER_12
transcript.pyannote[4274].start 26078.90909375
transcript.pyannote[4274].end 26084.57909375
transcript.pyannote[4275].speaker SPEAKER_12
transcript.pyannote[4275].start 26086.51971875
transcript.pyannote[4275].end 26092.25721875
transcript.pyannote[4276].speaker SPEAKER_12
transcript.pyannote[4276].start 26093.03346875
transcript.pyannote[4276].end 26093.65784375
transcript.pyannote[4277].speaker SPEAKER_12
transcript.pyannote[4277].start 26095.76721875
transcript.pyannote[4277].end 26096.89784375
transcript.pyannote[4278].speaker SPEAKER_12
transcript.pyannote[4278].start 26097.82596875
transcript.pyannote[4278].end 26099.26034375
transcript.pyannote[4279].speaker SPEAKER_12
transcript.pyannote[4279].start 26100.34034375
transcript.pyannote[4279].end 26102.44971875
transcript.pyannote[4280].speaker SPEAKER_12
transcript.pyannote[4280].start 26104.86284375
transcript.pyannote[4280].end 26108.37284375
transcript.pyannote[4281].speaker SPEAKER_12
transcript.pyannote[4281].start 26109.08159375
transcript.pyannote[4281].end 26116.72596875
transcript.pyannote[4282].speaker SPEAKER_12
transcript.pyannote[4282].start 26120.01659375
transcript.pyannote[4282].end 26130.98534375
transcript.pyannote[4283].speaker SPEAKER_12
transcript.pyannote[4283].start 26132.53784375
transcript.pyannote[4283].end 26134.71471875
transcript.pyannote[4284].speaker SPEAKER_12
transcript.pyannote[4284].start 26136.77346875
transcript.pyannote[4284].end 26143.97909375
transcript.pyannote[4285].speaker SPEAKER_12
transcript.pyannote[4285].start 26144.95784375
transcript.pyannote[4285].end 26151.10034375
transcript.pyannote[4286].speaker SPEAKER_12
transcript.pyannote[4286].start 26153.12534375
transcript.pyannote[4286].end 26167.24971875
transcript.pyannote[4287].speaker SPEAKER_12
transcript.pyannote[4287].start 26171.16471875
transcript.pyannote[4287].end 26180.09159375
transcript.pyannote[4288].speaker SPEAKER_12
transcript.pyannote[4288].start 26180.80034375
transcript.pyannote[4288].end 26189.15346875
transcript.pyannote[4289].speaker SPEAKER_12
transcript.pyannote[4289].start 26190.92534375
transcript.pyannote[4289].end 26199.61596875
transcript.pyannote[4290].speaker SPEAKER_12
transcript.pyannote[4290].start 26200.24034375
transcript.pyannote[4290].end 26204.05409375
transcript.pyannote[4291].speaker SPEAKER_12
transcript.pyannote[4291].start 26208.86346875
transcript.pyannote[4291].end 26219.29221875
transcript.pyannote[4292].speaker SPEAKER_66
transcript.pyannote[4292].start 26219.39346875
transcript.pyannote[4292].end 26219.49471875
transcript.pyannote[4293].speaker SPEAKER_12
transcript.pyannote[4293].start 26222.16096875
transcript.pyannote[4293].end 26224.72596875
transcript.pyannote[4294].speaker SPEAKER_12
transcript.pyannote[4294].start 26225.83971875
transcript.pyannote[4294].end 26225.92409375
transcript.pyannote[4295].speaker SPEAKER_12
transcript.pyannote[4295].start 26226.31221875
transcript.pyannote[4295].end 26231.81346875
transcript.pyannote[4296].speaker SPEAKER_12
transcript.pyannote[4296].start 26232.23534375
transcript.pyannote[4296].end 26235.67784375
transcript.pyannote[4297].speaker SPEAKER_12
transcript.pyannote[4297].start 26236.84221875
transcript.pyannote[4297].end 26242.34346875
transcript.pyannote[4298].speaker SPEAKER_12
transcript.pyannote[4298].start 26243.13659375
transcript.pyannote[4298].end 26247.47346875
transcript.pyannote[4299].speaker SPEAKER_12
transcript.pyannote[4299].start 26248.63784375
transcript.pyannote[4299].end 26258.86409375
transcript.pyannote[4300].speaker SPEAKER_12
transcript.pyannote[4300].start 26259.80909375
transcript.pyannote[4300].end 26260.51784375
transcript.pyannote[4301].speaker SPEAKER_12
transcript.pyannote[4301].start 26262.05346875
transcript.pyannote[4301].end 26274.43971875
transcript.pyannote[4302].speaker SPEAKER_12
transcript.pyannote[4302].start 26276.09346875
transcript.pyannote[4302].end 26280.51471875
transcript.pyannote[4303].speaker SPEAKER_12
transcript.pyannote[4303].start 26281.54409375
transcript.pyannote[4303].end 26283.46784375
transcript.pyannote[4304].speaker SPEAKER_12
transcript.pyannote[4304].start 26283.83909375
transcript.pyannote[4304].end 26292.41159375
transcript.pyannote[4305].speaker SPEAKER_12
transcript.pyannote[4305].start 26295.16221875
transcript.pyannote[4305].end 26313.45471875
transcript.pyannote[4306].speaker SPEAKER_12
transcript.pyannote[4306].start 26316.34034375
transcript.pyannote[4306].end 26320.84596875
transcript.pyannote[4307].speaker SPEAKER_12
transcript.pyannote[4307].start 26321.45346875
transcript.pyannote[4307].end 26329.06409375
transcript.pyannote[4308].speaker SPEAKER_12
transcript.pyannote[4308].start 26329.68846875
transcript.pyannote[4308].end 26335.47659375
transcript.pyannote[4309].speaker SPEAKER_12
transcript.pyannote[4309].start 26335.93221875
transcript.pyannote[4309].end 26344.01534375
transcript.pyannote[4310].speaker SPEAKER_12
transcript.pyannote[4310].start 26344.57221875
transcript.pyannote[4310].end 26346.12471875
transcript.pyannote[4311].speaker SPEAKER_12
transcript.pyannote[4311].start 26348.18346875
transcript.pyannote[4311].end 26361.68346875
transcript.pyannote[4312].speaker SPEAKER_12
transcript.pyannote[4312].start 26362.49346875
transcript.pyannote[4312].end 26368.82159375
transcript.pyannote[4313].speaker SPEAKER_12
transcript.pyannote[4313].start 26369.63159375
transcript.pyannote[4313].end 26372.02784375
transcript.pyannote[4314].speaker SPEAKER_12
transcript.pyannote[4314].start 26373.71534375
transcript.pyannote[4314].end 26387.95784375
transcript.pyannote[4315].speaker SPEAKER_12
transcript.pyannote[4315].start 26389.49346875
transcript.pyannote[4315].end 26403.04409375
transcript.pyannote[4316].speaker SPEAKER_12
transcript.pyannote[4316].start 26404.52909375
transcript.pyannote[4316].end 26414.04659375
transcript.pyannote[4317].speaker SPEAKER_12
transcript.pyannote[4317].start 26414.16471875
transcript.pyannote[4317].end 26418.34971875
transcript.pyannote[4318].speaker SPEAKER_12
transcript.pyannote[4318].start 26419.15971875
transcript.pyannote[4318].end 26427.73221875
transcript.pyannote[4319].speaker SPEAKER_12
transcript.pyannote[4319].start 26429.40284375
transcript.pyannote[4319].end 26434.19534375
transcript.pyannote[4320].speaker SPEAKER_12
transcript.pyannote[4320].start 26435.59596875
transcript.pyannote[4320].end 26446.76721875
transcript.pyannote[4321].speaker SPEAKER_12
transcript.pyannote[4321].start 26447.81346875
transcript.pyannote[4321].end 26453.68596875
transcript.pyannote[4322].speaker SPEAKER_12
transcript.pyannote[4322].start 26455.76159375
transcript.pyannote[4322].end 26461.34721875
transcript.pyannote[4323].speaker SPEAKER_12
transcript.pyannote[4323].start 26462.74784375
transcript.pyannote[4323].end 26482.59284375
transcript.pyannote[4324].speaker SPEAKER_12
transcript.pyannote[4324].start 26482.99784375
transcript.pyannote[4324].end 26485.34346875
transcript.pyannote[4325].speaker SPEAKER_12
transcript.pyannote[4325].start 26485.74846875
transcript.pyannote[4325].end 26492.75159375
transcript.pyannote[4326].speaker SPEAKER_12
transcript.pyannote[4326].start 26495.09721875
transcript.pyannote[4326].end 26507.78721875
transcript.pyannote[4327].speaker SPEAKER_12
transcript.pyannote[4327].start 26508.66471875
transcript.pyannote[4327].end 26511.82034375
transcript.pyannote[4328].speaker SPEAKER_12
transcript.pyannote[4328].start 26512.20846875
transcript.pyannote[4328].end 26514.06471875
transcript.pyannote[4329].speaker SPEAKER_12
transcript.pyannote[4329].start 26514.45284375
transcript.pyannote[4329].end 26518.33409375
transcript.pyannote[4330].speaker SPEAKER_12
transcript.pyannote[4330].start 26518.48596875
transcript.pyannote[4330].end 26519.34659375
transcript.pyannote[4331].speaker SPEAKER_12
transcript.pyannote[4331].start 26520.78096875
transcript.pyannote[4331].end 26521.43909375
transcript.pyannote[4332].speaker SPEAKER_12
transcript.pyannote[4332].start 26522.40096875
transcript.pyannote[4332].end 26535.79971875
transcript.pyannote[4333].speaker SPEAKER_12
transcript.pyannote[4333].start 26537.74034375
transcript.pyannote[4333].end 26539.47846875
transcript.pyannote[4334].speaker SPEAKER_12
transcript.pyannote[4334].start 26540.08596875
transcript.pyannote[4334].end 26545.67159375
transcript.pyannote[4335].speaker SPEAKER_12
transcript.pyannote[4335].start 26546.00909375
transcript.pyannote[4335].end 26561.28096875
transcript.pyannote[4336].speaker SPEAKER_12
transcript.pyannote[4336].start 26563.05284375
transcript.pyannote[4336].end 26578.78034375
transcript.pyannote[4337].speaker SPEAKER_12
transcript.pyannote[4337].start 26579.70846875
transcript.pyannote[4337].end 26591.09909375
transcript.pyannote[4338].speaker SPEAKER_12
transcript.pyannote[4338].start 26593.29284375
transcript.pyannote[4338].end 26596.43159375
transcript.pyannote[4339].speaker SPEAKER_12
transcript.pyannote[4339].start 26597.34284375
transcript.pyannote[4339].end 26602.03409375
transcript.pyannote[4340].speaker SPEAKER_12
transcript.pyannote[4340].start 26602.21971875
transcript.pyannote[4340].end 26608.36221875
transcript.pyannote[4341].speaker SPEAKER_12
transcript.pyannote[4341].start 26608.73346875
transcript.pyannote[4341].end 26609.23971875
transcript.pyannote[4342].speaker SPEAKER_12
transcript.pyannote[4342].start 26610.42096875
transcript.pyannote[4342].end 26615.39909375
transcript.pyannote[4343].speaker SPEAKER_12
transcript.pyannote[4343].start 26615.70284375
transcript.pyannote[4343].end 26619.44909375
transcript.pyannote[4344].speaker SPEAKER_12
transcript.pyannote[4344].start 26620.88346875
transcript.pyannote[4344].end 26634.48471875
transcript.pyannote[4345].speaker SPEAKER_12
transcript.pyannote[4345].start 26635.44659375
transcript.pyannote[4345].end 26644.05284375
transcript.pyannote[4346].speaker SPEAKER_12
transcript.pyannote[4346].start 26644.77846875
transcript.pyannote[4346].end 26649.38534375
transcript.pyannote[4347].speaker SPEAKER_12
transcript.pyannote[4347].start 26649.73971875
transcript.pyannote[4347].end 26653.43534375
transcript.pyannote[4348].speaker SPEAKER_12
transcript.pyannote[4348].start 26654.51534375
transcript.pyannote[4348].end 26656.86096875
transcript.pyannote[4349].speaker SPEAKER_12
transcript.pyannote[4349].start 26656.99596875
transcript.pyannote[4349].end 26667.03659375
transcript.pyannote[4350].speaker SPEAKER_12
transcript.pyannote[4350].start 26670.93471875
transcript.pyannote[4350].end 26671.52534375
transcript.pyannote[4351].speaker SPEAKER_12
transcript.pyannote[4351].start 26671.96409375
transcript.pyannote[4351].end 26674.27596875
transcript.pyannote[4352].speaker SPEAKER_12
transcript.pyannote[4352].start 26675.64284375
transcript.pyannote[4352].end 26679.18659375
transcript.pyannote[4353].speaker SPEAKER_12
transcript.pyannote[4353].start 26680.06409375
transcript.pyannote[4353].end 26687.53971875
transcript.pyannote[4354].speaker SPEAKER_12
transcript.pyannote[4354].start 26688.34971875
transcript.pyannote[4354].end 26688.90659375
transcript.pyannote[4355].speaker SPEAKER_12
transcript.pyannote[4355].start 26689.48034375
transcript.pyannote[4355].end 26695.23471875
transcript.pyannote[4356].speaker SPEAKER_12
transcript.pyannote[4356].start 26695.85909375
transcript.pyannote[4356].end 26703.19971875
transcript.pyannote[4357].speaker SPEAKER_12
transcript.pyannote[4357].start 26703.36846875
transcript.pyannote[4357].end 26707.11471875
transcript.pyannote[4358].speaker SPEAKER_12
transcript.pyannote[4358].start 26708.95409375
transcript.pyannote[4358].end 26715.34971875
transcript.pyannote[4359].speaker SPEAKER_12
transcript.pyannote[4359].start 26717.18909375
transcript.pyannote[4359].end 26722.82534375
transcript.pyannote[4360].speaker SPEAKER_12
transcript.pyannote[4360].start 26723.17971875
transcript.pyannote[4360].end 26729.20409375
transcript.pyannote[4361].speaker SPEAKER_12
transcript.pyannote[4361].start 26730.26721875
transcript.pyannote[4361].end 26736.59534375
transcript.pyannote[4362].speaker SPEAKER_12
transcript.pyannote[4362].start 26737.48971875
transcript.pyannote[4362].end 26752.00221875
transcript.pyannote[4363].speaker SPEAKER_12
transcript.pyannote[4363].start 26752.44096875
transcript.pyannote[4363].end 26755.64721875
transcript.pyannote[4364].speaker SPEAKER_12
transcript.pyannote[4364].start 26757.95909375
transcript.pyannote[4364].end 26758.85346875
transcript.pyannote[4365].speaker SPEAKER_12
transcript.pyannote[4365].start 26759.41034375
transcript.pyannote[4365].end 26763.56159375
transcript.pyannote[4366].speaker SPEAKER_12
transcript.pyannote[4366].start 26763.73034375
transcript.pyannote[4366].end 26766.83534375
transcript.pyannote[4367].speaker SPEAKER_12
transcript.pyannote[4367].start 26767.34159375
transcript.pyannote[4367].end 26773.61909375
transcript.pyannote[4368].speaker SPEAKER_12
transcript.pyannote[4368].start 26776.11659375
transcript.pyannote[4368].end 26782.37721875
transcript.pyannote[4369].speaker SPEAKER_12
transcript.pyannote[4369].start 26782.91721875
transcript.pyannote[4369].end 26792.21534375
transcript.pyannote[4370].speaker SPEAKER_12
transcript.pyannote[4370].start 26792.75534375
transcript.pyannote[4370].end 26794.57784375
transcript.pyannote[4371].speaker SPEAKER_12
transcript.pyannote[4371].start 26794.74659375
transcript.pyannote[4371].end 26796.11346875
transcript.pyannote[4372].speaker SPEAKER_12
transcript.pyannote[4372].start 26796.43409375
transcript.pyannote[4372].end 26798.10471875
transcript.pyannote[4373].speaker SPEAKER_12
transcript.pyannote[4373].start 26799.43784375
transcript.pyannote[4373].end 26811.73971875
transcript.pyannote[4374].speaker SPEAKER_12
transcript.pyannote[4374].start 26813.68034375
transcript.pyannote[4374].end 26825.30721875
transcript.pyannote[4375].speaker SPEAKER_12
transcript.pyannote[4375].start 26825.57721875
transcript.pyannote[4375].end 26828.68221875
transcript.pyannote[4376].speaker SPEAKER_12
transcript.pyannote[4376].start 26838.43596875
transcript.pyannote[4376].end 26839.60034375
transcript.pyannote[4377].speaker SPEAKER_12
transcript.pyannote[4377].start 26841.11909375
transcript.pyannote[4377].end 26845.06784375
transcript.pyannote[4378].speaker SPEAKER_12
transcript.pyannote[4378].start 26845.89471875
transcript.pyannote[4378].end 26850.80534375
transcript.pyannote[4379].speaker SPEAKER_12
transcript.pyannote[4379].start 26852.22284375
transcript.pyannote[4379].end 26858.68596875
transcript.pyannote[4380].speaker SPEAKER_12
transcript.pyannote[4380].start 26860.71096875
transcript.pyannote[4380].end 26862.61784375
transcript.pyannote[4381].speaker SPEAKER_12
transcript.pyannote[4381].start 26862.92159375
transcript.pyannote[4381].end 26866.09409375
transcript.pyannote[4382].speaker SPEAKER_12
transcript.pyannote[4382].start 26867.41034375
transcript.pyannote[4382].end 26867.95034375
transcript.pyannote[4383].speaker SPEAKER_12
transcript.pyannote[4383].start 26868.72659375
transcript.pyannote[4383].end 26877.16409375
transcript.pyannote[4384].speaker SPEAKER_12
transcript.pyannote[4384].start 26877.56909375
transcript.pyannote[4384].end 26879.32409375
transcript.pyannote[4385].speaker SPEAKER_66
transcript.pyannote[4385].start 26882.66534375
transcript.pyannote[4385].end 26882.73284375
transcript.pyannote[4386].speaker SPEAKER_66
transcript.pyannote[4386].start 26882.88471875
transcript.pyannote[4386].end 26883.10409375
transcript.pyannote[4387].speaker SPEAKER_12
transcript.pyannote[4387].start 26884.82534375
transcript.pyannote[4387].end 26905.17659375
transcript.pyannote[4388].speaker SPEAKER_12
transcript.pyannote[4388].start 26907.26909375
transcript.pyannote[4388].end 26911.08284375
transcript.pyannote[4389].speaker SPEAKER_12
transcript.pyannote[4389].start 26913.24284375
transcript.pyannote[4389].end 26919.43596875
transcript.pyannote[4390].speaker SPEAKER_12
transcript.pyannote[4390].start 26921.64659375
transcript.pyannote[4390].end 26926.64159375
transcript.pyannote[4391].speaker SPEAKER_12
transcript.pyannote[4391].start 26927.19846875
transcript.pyannote[4391].end 26930.03346875
transcript.pyannote[4392].speaker SPEAKER_12
transcript.pyannote[4392].start 26930.30346875
transcript.pyannote[4392].end 26934.75846875
transcript.pyannote[4393].speaker SPEAKER_12
transcript.pyannote[4393].start 26936.98596875
transcript.pyannote[4393].end 26937.35721875
transcript.pyannote[4394].speaker SPEAKER_12
transcript.pyannote[4394].start 26937.66096875
transcript.pyannote[4394].end 26939.02784375
transcript.pyannote[4395].speaker SPEAKER_12
transcript.pyannote[4395].start 26939.70284375
transcript.pyannote[4395].end 26951.68409375
transcript.pyannote[4396].speaker SPEAKER_12
transcript.pyannote[4396].start 26952.61221875
transcript.pyannote[4396].end 26956.59471875
transcript.pyannote[4397].speaker SPEAKER_12
transcript.pyannote[4397].start 26957.50596875
transcript.pyannote[4397].end 26961.84284375
transcript.pyannote[4398].speaker SPEAKER_12
transcript.pyannote[4398].start 26963.31096875
transcript.pyannote[4398].end 26965.85909375
transcript.pyannote[4399].speaker SPEAKER_12
transcript.pyannote[4399].start 26966.46659375
transcript.pyannote[4399].end 26972.25471875
transcript.pyannote[4400].speaker SPEAKER_12
transcript.pyannote[4400].start 26973.19971875
transcript.pyannote[4400].end 26982.39659375
transcript.pyannote[4401].speaker SPEAKER_12
transcript.pyannote[4401].start 26989.45034375
transcript.pyannote[4401].end 26990.47971875
transcript.pyannote[4402].speaker SPEAKER_12
transcript.pyannote[4402].start 26990.81721875
transcript.pyannote[4402].end 26993.90534375
transcript.pyannote[4403].speaker SPEAKER_12
transcript.pyannote[4403].start 26996.04846875
transcript.pyannote[4403].end 26996.75721875
transcript.pyannote[4404].speaker SPEAKER_12
transcript.pyannote[4404].start 26997.49971875
transcript.pyannote[4404].end 27003.55784375
transcript.pyannote[4405].speaker SPEAKER_12
transcript.pyannote[4405].start 27003.89534375
transcript.pyannote[4405].end 27008.02971875
transcript.pyannote[4406].speaker SPEAKER_12
transcript.pyannote[4406].start 27008.19846875
transcript.pyannote[4406].end 27010.44284375
transcript.pyannote[4407].speaker SPEAKER_12
transcript.pyannote[4407].start 27010.96596875
transcript.pyannote[4407].end 27016.83846875
transcript.pyannote[4408].speaker SPEAKER_12
transcript.pyannote[4408].start 27016.90596875
transcript.pyannote[4408].end 27016.92284375
transcript.pyannote[4409].speaker SPEAKER_12
transcript.pyannote[4409].start 27017.14221875
transcript.pyannote[4409].end 27019.38659375
transcript.pyannote[4410].speaker SPEAKER_12
transcript.pyannote[4410].start 27020.85471875
transcript.pyannote[4410].end 27030.03471875
transcript.pyannote[4411].speaker SPEAKER_12
transcript.pyannote[4411].start 27030.92909375
transcript.pyannote[4411].end 27032.93721875
transcript.pyannote[4412].speaker SPEAKER_12
transcript.pyannote[4412].start 27034.91159375
transcript.pyannote[4412].end 27045.94784375
transcript.pyannote[4413].speaker SPEAKER_12
transcript.pyannote[4413].start 27046.58909375
transcript.pyannote[4413].end 27059.51534375
transcript.pyannote[4414].speaker SPEAKER_12
transcript.pyannote[4414].start 27060.54471875
transcript.pyannote[4414].end 27061.79346875
transcript.pyannote[4415].speaker SPEAKER_12
transcript.pyannote[4415].start 27066.36659375
transcript.pyannote[4415].end 27074.55096875
transcript.pyannote[4416].speaker SPEAKER_12
transcript.pyannote[4416].start 27075.90096875
transcript.pyannote[4416].end 27079.96784375
transcript.pyannote[4417].speaker SPEAKER_12
transcript.pyannote[4417].start 27080.30534375
transcript.pyannote[4417].end 27082.61721875
transcript.pyannote[4418].speaker SPEAKER_12
transcript.pyannote[4418].start 27083.52846875
transcript.pyannote[4418].end 27091.02096875
transcript.pyannote[4419].speaker SPEAKER_12
transcript.pyannote[4419].start 27092.37096875
transcript.pyannote[4419].end 27095.71221875
transcript.pyannote[4420].speaker SPEAKER_12
transcript.pyannote[4420].start 27095.91471875
transcript.pyannote[4420].end 27098.81721875
transcript.pyannote[4421].speaker SPEAKER_12
transcript.pyannote[4421].start 27099.82971875
transcript.pyannote[4421].end 27101.95596875
transcript.pyannote[4422].speaker SPEAKER_12
transcript.pyannote[4422].start 27102.96846875
transcript.pyannote[4422].end 27104.08221875
transcript.pyannote[4423].speaker SPEAKER_12
transcript.pyannote[4423].start 27104.52096875
transcript.pyannote[4423].end 27107.03534375
transcript.pyannote[4424].speaker SPEAKER_12
transcript.pyannote[4424].start 27108.65534375
transcript.pyannote[4424].end 27110.12346875
transcript.pyannote[4425].speaker SPEAKER_12
transcript.pyannote[4425].start 27113.54909375
transcript.pyannote[4425].end 27117.73409375
transcript.pyannote[4426].speaker SPEAKER_12
transcript.pyannote[4426].start 27118.76346875
transcript.pyannote[4426].end 27124.24784375
transcript.pyannote[4427].speaker SPEAKER_12
transcript.pyannote[4427].start 27126.82971875
transcript.pyannote[4427].end 27127.69034375
transcript.pyannote[4428].speaker SPEAKER_12
transcript.pyannote[4428].start 27128.41596875
transcript.pyannote[4428].end 27132.49971875
transcript.pyannote[4429].speaker SPEAKER_12
transcript.pyannote[4429].start 27133.93409375
transcript.pyannote[4429].end 27141.03846875
transcript.pyannote[4430].speaker SPEAKER_12
transcript.pyannote[4430].start 27146.89409375
transcript.pyannote[4430].end 27153.28971875
transcript.pyannote[4431].speaker SPEAKER_12
transcript.pyannote[4431].start 27153.61034375
transcript.pyannote[4431].end 27158.55471875
transcript.pyannote[4432].speaker SPEAKER_12
transcript.pyannote[4432].start 27159.68534375
transcript.pyannote[4432].end 27169.86096875
transcript.pyannote[4433].speaker SPEAKER_12
transcript.pyannote[4433].start 27171.73409375
transcript.pyannote[4433].end 27172.93221875
transcript.pyannote[4434].speaker SPEAKER_12
transcript.pyannote[4434].start 27173.74221875
transcript.pyannote[4434].end 27174.67034375
transcript.pyannote[4435].speaker SPEAKER_12
transcript.pyannote[4435].start 27175.21034375
transcript.pyannote[4435].end 27179.46284375
transcript.pyannote[4436].speaker SPEAKER_12
transcript.pyannote[4436].start 27181.16721875
transcript.pyannote[4436].end 27190.07721875
transcript.pyannote[4437].speaker SPEAKER_12
transcript.pyannote[4437].start 27190.31346875
transcript.pyannote[4437].end 27194.97096875
transcript.pyannote[4438].speaker SPEAKER_12
transcript.pyannote[4438].start 27197.09721875
transcript.pyannote[4438].end 27212.08221875
transcript.pyannote[4439].speaker SPEAKER_12
transcript.pyannote[4439].start 27212.67284375
transcript.pyannote[4439].end 27214.29284375
transcript.pyannote[4440].speaker SPEAKER_12
transcript.pyannote[4440].start 27214.88346875
transcript.pyannote[4440].end 27218.83221875
transcript.pyannote[4441].speaker SPEAKER_12
transcript.pyannote[4441].start 27220.14846875
transcript.pyannote[4441].end 27225.43034375
transcript.pyannote[4442].speaker SPEAKER_12
transcript.pyannote[4442].start 27226.17284375
transcript.pyannote[4442].end 27233.12534375
transcript.pyannote[4443].speaker SPEAKER_12
transcript.pyannote[4443].start 27233.46284375
transcript.pyannote[4443].end 27240.83721875
transcript.pyannote[4444].speaker SPEAKER_12
transcript.pyannote[4444].start 27242.37284375
transcript.pyannote[4444].end 27255.73784375
transcript.pyannote[4445].speaker SPEAKER_12
transcript.pyannote[4445].start 27257.15534375
transcript.pyannote[4445].end 27259.53471875
transcript.pyannote[4446].speaker SPEAKER_12
transcript.pyannote[4446].start 27261.15471875
transcript.pyannote[4446].end 27261.96471875
transcript.pyannote[4447].speaker SPEAKER_12
transcript.pyannote[4447].start 27262.89284375
transcript.pyannote[4447].end 27264.63096875
transcript.pyannote[4448].speaker SPEAKER_12
transcript.pyannote[4448].start 27265.18784375
transcript.pyannote[4448].end 27266.23409375
transcript.pyannote[4449].speaker SPEAKER_12
transcript.pyannote[4449].start 27266.99346875
transcript.pyannote[4449].end 27277.25346875
transcript.whisperx[0].start 1291.434
transcript.whisperx[0].end 1296.278
transcript.whisperx[0].text 好大家請安靜我們現在宣布開會請主任秘書報告出席委員人數報告委員會出席委員與主法定人數現在開始開會請議事人員宣讀今日議程
transcript.whisperx[1].start 1315.269
transcript.whisperx[1].end 1336.895
transcript.whisperx[1].text 審查行政院含情審議中央政府因應國際情勢強化經濟社會及民生國安任性特別預算案詢答及處理 宣讀完畢本次會議由財政我們先介紹一下我們先介紹我們今天與會的政府官員
transcript.whisperx[2].start 1340.919
transcript.whisperx[2].end 1351.504
transcript.whisperx[2].text 我們先介紹行政院主計總署主計長陳淑芝 陳主計長 歡迎財政部部長 雙翠雲 雙部長內政部 劉世芳 劉部長 歡迎國防部 顧立雄 顧部長 歡迎教育部 政醫藥 鄭部長
transcript.whisperx[3].start 1370.058
transcript.whisperx[3].end 1390.396
transcript.whisperx[3].text 部長 歡迎經濟部 龔明星 龔部長 歡迎部長勞動部 我們部長有跟我請假今天來與會的是常務次長 陳明仁 陳次長 歡迎你農業部 陳俊記 陳部長 歡迎部長
transcript.whisperx[4].start 1394.702
transcript.whisperx[4].end 1404.456
transcript.whisperx[4].text 衛生福利部也是由政務次長呂健德理事長來代理與會好 歡迎海洋委員會主任委員管碧玲 管竹偉 歡迎
transcript.whisperx[5].start 1407.508
transcript.whisperx[5].end 1432.682
transcript.whisperx[5].text 其他的我們的官員就請大家參與我們的議程表本次會議由財政 內政 外交及國防 經濟 教育及文化社會福利及衛生環境委員等六個委員會來聯席今日安排審查行政院函請審議中央政府因應國際情勢強化經濟社會及民生國安任性特別預算案114至116年度
transcript.whisperx[6].start 1435.143
transcript.whisperx[6].end 1452.933
transcript.whisperx[6].text 我們預算提案今天10月8號上午10點截止收案現在將依序請下列相關部會首長就特別預算案的內容進行報告請簡短摘要報告首先我們請行政院主計總署陳主計長進行特別預算內容報告好請
transcript.whisperx[7].start 1460.649
transcript.whisperx[7].end 1474.548
transcript.whisperx[7].text 主席各位委員女士先生今天應邀列席聯席會議就中央政府因應國際情勢強化經濟社會及民生國安任性特別預算案編列情形提出報告自感榮幸
transcript.whisperx[8].start 1475.729
transcript.whisperx[8].end 1503.214
transcript.whisperx[8].text 會因應美國的關稅變革提升產業競爭韌性以及面對地緣政治急速變化繼續強化國土防衛能量所以行政院依照大院8月29號審議修正通過之條例來編列以上限5700億來分期編列特別預算那預算案的編制編制所需經費的來源是以用以前年度稅基剩餘或舉借債務來支應
transcript.whisperx[9].start 1506.362
transcript.whisperx[9].end 1530.319
transcript.whisperx[9].text 本條例和特別條例施行期間是114年3月12到116年12月31日本總署依照上開的規定院長的提示以支持產業安定就業照顧民生強化任性四大主軸來編劇完成因應國際情勢強化社會經濟社會及民生國安任性特別預算案主要內容
transcript.whisperx[10].start 1531.36
transcript.whisperx[10].end 1539.348
transcript.whisperx[10].text 第一個除了預留後續額度200億站位編列稅數編列5500億元是114年到116年分別編列2795億元1242億元及1463億元那機關別的一個編列情形說明如下
transcript.whisperx[11].start 1551.44
transcript.whisperx[11].end 1578.782
transcript.whisperx[11].text 一 內政部主管編列112億元包括辦理老宅延壽機能復興計畫強化環孔維安能量及關鍵基礎設施安全防護能力等那國防部主管編列1132億元包括辦理居民之通作業環境韌性與設備效能提升計畫等財政部主管編列2500億元包括辦理強化民眾消費韌性普化現金以及
transcript.whisperx[12].start 1580.303
transcript.whisperx[12].end 1593.49
transcript.whisperx[12].text 企业贸易融资利息减码和输出保险费用减免等手续费用市教育部主管编列200亿元包括提升大专院校校务经营及支持高教与产业合作
transcript.whisperx[13].start 1594.659
transcript.whisperx[13].end 1618.345
transcript.whisperx[13].text 共賠人才等五 經濟部主管編列461億元包括協助受美國關稅政策影響的製造業者協調體質以提升產業競爭力等六 勞動部主管編列250億元包括撥補勞工保險基金辦理政府部門公共服務上工專案等七 農業部主管編列191億元
transcript.whisperx[14].start 1620.586
transcript.whisperx[14].end 1628.134
transcript.whisperx[14].text 包括辦理強化農業外銷冷凍體系獎勵業者拓展美國高端外銷市場等
transcript.whisperx[15].start 1631.212
transcript.whisperx[15].end 1651.623
transcript.whisperx[15].text 衛生福利部編列 主管編列361億元包括波普全民健康保險基金辦理強化獨居老人關懷服務計畫等海洋委員會主管編列296億元包括辦理海域增縮和巡防裝備籌建及各級巡建
transcript.whisperx[16].start 1652.143
transcript.whisperx[16].end 1681.218
transcript.whisperx[16].text 巡航舰艇筹建及海巡基地设施强化等那正是别的编列以经济发展支出3191亿元居首举以请参阅以上所需的财源5500亿元编列以前移用以前年度税金剩余4444亿元还有举借债务1056亿元之印以上报告进行主席及各位委员女士先生会议指教并鼎力支持谢谢
transcript.whisperx[17].start 1682.196
transcript.whisperx[17].end 1690.997
transcript.whisperx[17].text 好謝謝我們主委長接下來我們請財政部莊部長來就預算特別內容來做報告好請
transcript.whisperx[18].start 1696.448
transcript.whisperx[18].end 1723.944
transcript.whisperx[18].text 主席各位委員先進大家早今天貴委員會召開聯席會議審查任性特別預算案以下僅就裁員的籌措提供以及提供企業金融支持和普發現金的預算編列情形做簡要的報告首先就裁員籌措跟債務控管的部分說明根據特別條例的規定所需的經費上限是5700億元為了因應美國關稅措施可能的衝擊所以第一階段
transcript.whisperx[19].start 1724.404
transcript.whisperx[19].end 1741.379
transcript.whisperx[19].text 特别预算案总经费是编列5500亿元执行期间是从114年的3月12号到116年的12月31号那么裁员的规划是移用以前年度的税计剩余是4444亿元另外要举借债务1056亿元
transcript.whisperx[20].start 1743.601
transcript.whisperx[20].end 1762.351
transcript.whisperx[20].text 那麼本任性特別條例是從114年起執行執行期間另外有114年度的中央政府的總預算還有前瞻基礎建設等各項特別預算總預算以及特別預算的舉債合計數呢在該期間總預算以及特別預算稅出合計數是8.1%那麼低於15%上限的規定
transcript.whisperx[21].start 1767.233
transcript.whisperx[21].end 1773.638
transcript.whisperx[21].text 在債務存量的部分截至114年的9月底中央政府長期債務的實際數是5,8379億元佔前三年度明目GDP的平均數是24.3%
transcript.whisperx[22].start 1781.61
transcript.whisperx[22].end 1798.04
transcript.whisperx[22].text 而114年度長期債務餘額的預算數則是根據公債法的規定把113年底長期債務餘額的實際數加計歷年特別預算融資調度的保留數以及114年度預計的舉借數另外要扣除我們的債務還本數以後
transcript.whisperx[23].start 1799.481
transcript.whisperx[23].end 1818.467
transcript.whisperx[23].text 所以预估114年底的长期债务余额是6兆5824亿元那么占前三年度明目GDP的平均数是27.4%那么符合公债法所规定的债务存量的上限40.6%的规定那么本特别预算属于财政部主管的部分我们是编列了2500亿元
transcript.whisperx[24].start 1820.648
transcript.whisperx[24].end 1842.363
transcript.whisperx[24].text 這裡其中包括了提供企業的金融支持編列那麼我們會透過中國輸出入銀行辦理貿易融資利息減碼及輸出保險費用的減免那麼所需經費是140億元那第二個部分是辦理普發現金的情形那麼所需的經費是2360億元這包括了普發現金所需的經費是
transcript.whisperx[25].start 1845.464
transcript.whisperx[25].end 1869.351
transcript.whisperx[25].text 1356亿4696亿元那么这是根据本国的国民在7月底全国人口数已经推估6个月内出生的新生儿以及外籍人士取得永久居留证和大陆地区人民以及港澳居民以及外国人为我国国民的配偶等等取得居留许可的人数我们按每个人1万元来计算另外为了使普发现金能够顺利推动
transcript.whisperx[26].start 1869.811
transcript.whisperx[26].end 1890.904
transcript.whisperx[26].text 我們提供了多元的管道讓民眾領取因此編列了相關的發放的手續費還有系統徵休等等需要兩億兩千六百餘萬元那麼在網路服務客服的服務以及行政廣宣費用大編列了一億兩千六百餘萬元那麼以上的報告敬請各位委員會以支持以及指教謝謝好 謝謝莊部長接下來我們請經濟部龔明星 龔部長來做報告
transcript.whisperx[27].start 1905.856
transcript.whisperx[27].end 1932.127
transcript.whisperx[27].text 主席各位委員大家好今天為聯席會審查因應國際形勢強化經濟社會以及民生國安任性特別預算案本特別預算案有關於本部所主管編列的是460億元僅依各項業務主要的內容跟預算編列的情形進行報告進行各位委員指教摘要報告如下
transcript.whisperx[28].start 1934.088
transcript.whisperx[28].end 1950.682
transcript.whisperx[28].text 第一大项是有关于提升产业竞争力250亿元的部分主要的内容包括了AI市产线场域的升级计划编列了16.5亿第二是有关于协助受影响的制造业
transcript.whisperx[29].start 1952.043
transcript.whisperx[29].end 1974.996
transcript.whisperx[29].text 體質調整203.5億元那這個主要的內容是我們會成立產業的輔導團來進行中小企業跟傳統產業的這些訪視、診斷跟輔導甚至於提供金融跟管理上的一些諮詢上的一些協助第二是補助業者研發創新跟設備的太舊換新朝向這個雙軸的轉型
transcript.whisperx[30].start 1977.922
transcript.whisperx[30].end 1989.395
transcript.whisperx[30].text 第三項是有關於推動服務業的AI應用人才的培育是1.5億元第四個是提升商業服務的營運據點編列的是25億元
transcript.whisperx[31].start 1993.391
transcript.whisperx[31].end 2016.97
transcript.whisperx[31].text 第五项是推动中小为AI人才的培育计划编列的是3.5亿元第二大项的部分是协助企业开拓多元的市场总共编列金额是100亿元其中包括了我们怎么样协助企业调整海外的布局措施总共是70亿元这里面包括了补助企业布建海外的行销
transcript.whisperx[32].start 2017.891
transcript.whisperx[32].end 2040.997
transcript.whisperx[32].text 通路根據點而且加碼工學會廠商的海外參展的一些經費那第二個就是強化貿易管理總共17億元主要在經濟貿易管理的工具以加強監督輔導並且呢協助廠商符合合法的遵循標準跟便利出口的相關措施
transcript.whisperx[33].start 2042.017
transcript.whisperx[33].end 2061.294
transcript.whisperx[33].text 第三個就是深化與有盟國家的經貿合作13億元主要是因為我們要多元開展市場所以要辦理比較國際前端的產業資料庫掌握廠商的商情跟股權相關的資訊有利於我們部件海外通路
transcript.whisperx[34].start 2062.847
transcript.whisperx[34].end 2082.103
transcript.whisperx[34].text 那第三大項是提供企業的金融支持總共一百一十億元那包括兩項第一項是外銷貸款優惠保證加碼的六十億元那這個是針對受到美國關稅直接或間接影響如果你的營業額減少了百分之十的進出口廠商
transcript.whisperx[35].start 2083.044
transcript.whisperx[35].end 2098.093
transcript.whisperx[35].text 提供了融資保證並且減免中小企業前兩年保證的手續費的一些收入也提供信保的一些支持第二個是針對中小企業多元發展方案貸款方案裡面的加碼50億元
transcript.whisperx[36].start 2099.434
transcript.whisperx[36].end 2126.653
transcript.whisperx[36].text 同樣的也是因為直接間接受到關稅的影響百分之十以上的話那我們會提供在一定額度裡面的這個利息補貼跟這個保證程式以上報告 敬請各位委員先進會議指教謝謝好 謝謝我們龔部長接下來請國防部顧部長國防部顧立雄部長
transcript.whisperx[37].start 2134.8
transcript.whisperx[37].end 2161.132
transcript.whisperx[37].text 好 謝謝主席 各位委員先進打好今天奉邀參加大院因應國際情勢強化經濟社會及民生國安任性特別預算案報告以下請就本部主管特別預算案編列進行做簡要說明進行各位委員先進指教
transcript.whisperx[38].start 2162.369
transcript.whisperx[38].end 2188.815
transcript.whisperx[38].text 一 特別預算編制概要鑒於中共近來頻繁以非社傾倒並軍事行動威懾嚴重擾亂我國安與民生經濟發展國安部以規劃一百一十五至一百一十六年執行強化國土防衛能量及提升資通作業環境及設備等兩大措施六項方案以強化國防與民生運作韌性後續就
transcript.whisperx[39].start 2190.499
transcript.whisperx[39].end 2209.904
transcript.whisperx[39].text 兩大措施及六項方案預算編列該要報告一強化國土防衛能量辦理國軍各式重要軍品修物工廠軍用碼頭軍事醫療訓練場地資訊通信作戰陣地戰情指管等庫儲設施維護及整建以及
transcript.whisperx[40].start 2211.58
transcript.whisperx[40].end 2219.464
transcript.whisperx[40].text 國軍重要武器系統零附件飲用水、油料戰備存量及公民機械籌補作業等所需經費總計428億5,778萬4千元
transcript.whisperx[41].start 2226.594
transcript.whisperx[41].end 2244.943
transcript.whisperx[41].text 提升自動作業環境及設備為滿足通訊機動與備援目標規劃各本外離島作戰區指揮所指管通訊設施機動化並引進衛星通訊雲端作業環境備援及光纖緊急搶修套件以應對中共刻意迫害我通訊聯絡
transcript.whisperx[42].start 2246.665
transcript.whisperx[42].end 2260.937
transcript.whisperx[42].text 確保通信韌性編制概要說明如後辦理資通作業環境及設備提升及其他附屬資源裝備購置租賃整合與其相關資源系統裝備獲得產製維修工程等所需經費總計703億2998萬元個案需求分數如次居民資通作業環境韌性以設備效能提升計
transcript.whisperx[43].start 2268.644
transcript.whisperx[43].end 2284.79
transcript.whisperx[43].text 需563億元二 指管系統韌性職安防護系統擴充 寄需24億8751萬元三 居民共同圖像系統 寄需5億元四 戰區通知基礎設備提升 寄需107億5802萬元網傳作業設備補充 寄需2億8445萬元
transcript.whisperx[44].start 2295.564
transcript.whisperx[44].end 2324.177
transcript.whisperx[44].text 預期效應一 集中資源整建快速提升戰力面對區域安全及環境災害之急嚴峻應用特別預算支援集中快速籌貨特性快速籌貨足量經費應對威脅變動快速提升國境整體戰力二 強化國土安全建構防衛韌性為確保遭受攻擊及災害應變韌性需建構機動備援軍民通用直通系統架構以保持通信暢通另需儲備物資改善
transcript.whisperx[45].start 2325.817
transcript.whisperx[45].end 2350.223
transcript.whisperx[45].text 庫儲訓場 整備工兵機具 延長作戰持續力三 增加國內採購 擴大內需產能本次特別預算將應用國內資通及營造實力擴大內需產能 提升產業附加效益約計1941億餘元達成國防與民生雙贏目標四 扶植有氧廠商 深化均勻整合全愛未來將持續帶動民間廠商投入國防產業
transcript.whisperx[46].start 2351.383
transcript.whisperx[46].end 2356.768
transcript.whisperx[46].text 深化居民技術整合結合國行需求擴增產能強化供應鏈使國行產業穩定發展
transcript.whisperx[47].start 2359.618
transcript.whisperx[47].end 2387.047
transcript.whisperx[47].text 本次特別預算通過將結合軍事救災及促進國內經濟動能需求攜手打造能穩定持久的國防體系國防部將持續陸力戰備準備工作將支援耗費最大效益因應當前嚴峻歧視並達成測驗災防自變守護人民之決心本部將確準特別條例規範在法定額度內如期如止完成各項裝備採購作業以上報告進行各位委員會議指教並鼎力支持 謝謝
transcript.whisperx[48].start 2388.991
transcript.whisperx[48].end 2405.869
transcript.whisperx[48].text 好 我們謝謝顧立雄部長今天因為時間的關係我們登記委員非常的多所以其餘各部會的報告請各位參閱書面報告另外今天財委會有借紅樓101會議室後面的
transcript.whisperx[49].start 2409.331
transcript.whisperx[49].end 2426.058
transcript.whisperx[49].text 站著的官員可以到紅樓1014那邊有開放的電視可以收看我們整個議事的內容所以請大家不要站著不要客氣可以移駕到101會議室接下來
transcript.whisperx[50].start 2428.404
transcript.whisperx[50].end 2452.04
transcript.whisperx[50].text 我們現在開始詢答我先做以下的宣告每位初期委員這個發言時間為4分鐘必要時得延長1分鐘每位列席委員那個列席委員發言時間是3分鐘今天上午10點截止發言登記現在我們就請登記順序第一位的林德福委員來發言請
transcript.whisperx[51].start 2467.54
transcript.whisperx[51].end 2484.411
transcript.whisperx[51].text 謝謝 謝謝主席是不是請這個國防部顧部長還有這個財政部的莊部長還有主計長 陳主計長好 請主計長 顧部長還有莊部長委員好
transcript.whisperx[52].start 2496.616
transcript.whisperx[52].end 2511.319
transcript.whisperx[52].text 你好首先我要特別請莊部長跟主席長因為很多民眾在關心到底我們普發一萬元是不是這個月底以前會花放部長
transcript.whisperx[53].start 2512.297
transcript.whisperx[53].end 2528.604
transcript.whisperx[53].text 跟委員報告那根據特別條例就有規定要特別預算公佈後一個月內就可以開始發放所以我們要看特別預算最後經過大院審議三讀通過總統公佈後我們一定會在一個月內以內就開始做發放的作業好 謝謝那另外我再請教那個顧部長
transcript.whisperx[54].start 2536.684
transcript.whisperx[54].end 2550.632
transcript.whisperx[54].text 我們現在我上次在院會裡面有請教過你我們到底跟美國買的武器有多少錢已經給了到現在為止武器沒來而且錢還在那裡你告訴大家
transcript.whisperx[55].start 2552.485
transcript.whisperx[55].end 2580.722
transcript.whisperx[55].text 跟委員報告我想現在相關的武器陸續的到那也都在有多少錢我是問你有多少錢的武器還沒有來已經給那麼久了你要跟大家講讓大家了解我想最主要大概有三個項目一個是這個我們預計在明年底到的一個F16戰機的部分那另外一個是
transcript.whisperx[56].start 2583.204
transcript.whisperx[56].end 2604.743
transcript.whisperx[56].text HM154C這個部分是配合這個X6的那個不管總共多少錢你告訴我讓大家了解嘛有多少錢的武器在美國很早就給錢到現在武器沒來嘛我想我們並沒有很早就給錢因為相關的這個付款的時間有一定的時程這個部分我們是不是請這個站位師來說
transcript.whisperx[57].start 2606.125
transcript.whisperx[57].end 2617.177
transcript.whisperx[57].text 這是國會殿堂喔 不能亂講喔是 包委員我們所有的軍購的付款都是依據美方寄帳單裡面要求我們付款的時間來付那我們付款
transcript.whisperx[58].start 2618.277
transcript.whisperx[58].end 2646.005
transcript.whisperx[58].text 5G有沒有到嘛就不會有他在沒有需求款項的情況之下提前付那如果說美方進度不如預期的時候這些錢也會進到他的FRB裡面一樣會產生知己當然到目前為止我們管控的預算裡面這個數目在我們今年五月份和美方召開財務管理會議之後已經大幅把這個數字下修而且把必要的項目能夠刪除我們就刪除
transcript.whisperx[59].start 2646.48
transcript.whisperx[59].end 2648.848
transcript.whisperx[59].text 還有多少嘛額度多少你要跟大家講啊
transcript.whisperx[60].start 2650.697
transcript.whisperx[60].end 2679.666
transcript.whisperx[60].text 巴尔委员我们总共目前我们付出去的总额300余亿的整个美金的军购案里面我们实际支付的是108亿左右但是这些项目里面多数都是处于已经交付的状况当中所以委员问到说我们是不是有提前去支付这些钱没有使用的这个我们必须和美方计算才有办法回答委员
transcript.whisperx[61].start 2680.626
transcript.whisperx[61].end 2700.541
transcript.whisperx[61].text 還要跟美方計算對這個我認為你們有點掩飾因為你武器給多少剩下多少沒有進來我們給錢這個你要公開透明對不對不能說給了錢以後我們又不是拿去支息的對不對
transcript.whisperx[62].start 2702.179
transcript.whisperx[62].end 2730.926
transcript.whisperx[62].text 報告委員 美方的這個軍火工業裡面只要他已經進入產線的項目我們就得支付款項他就屬於一個執行中的案子他不是等到交付之後我們才有辦法給錢不是 給了錢以後就遙遙無期然後名義上是買武器實際上給錢以後就放在那裡自習其實這個也不是我們要的是 但這個項目我們已經把這個額度已經大幅的下修了
transcript.whisperx[63].start 2731.653
transcript.whisperx[63].end 2760.64
transcript.whisperx[63].text 因為你們到現在為止都不敢把那個多少額度在那裡給了錢武器沒來然後後續還要再今年又編列9495億對不對國防預算跟委員報告我想主要是重點有兩個一個就是說他還沒有到達這個應該付款的時間點我們就不會付款那縱使我們把錢匯出去到FRB的帳戶裡面那個還是屬於我們控管的而且仍然在那邊產生支息
transcript.whisperx[64].start 2761.34
transcript.whisperx[64].end 2775.611
transcript.whisperx[64].text 那就這個相關的這些武器的部分大概剛剛提到的AGM-154CF-16預計還是我們期望在明年年底以前能夠交易 好啦那另外還有Mk-48的魚雷你們回去啦 我下一個題啦因為 跟你們講你們也大概不清清楚楚的說告知國人 你們回去啦因為跟你們講 講一百次你們也不會很坦誠的跟大家告知那個 我來請處紀長來
transcript.whisperx[65].start 2791.718
transcript.whisperx[65].end 2816.315
transcript.whisperx[65].text 主席長 是我想今年整個預算因為以前全部都是統三讓你們去調整你要薪資渡民今年是不可能的讓你翻倍你就隨便而且會因應整個國際的情勢強化整個經濟社會及國土的安全那這個國土安全的韌性中央左邊的特別預算高達五千五百億
transcript.whisperx[66].start 2817.577
transcript.whisperx[66].end 2825.09
transcript.whisperx[66].text 這個有媒體來評論說裡面是包山包海充斥著藐視的是以前的這個
transcript.whisperx[67].start 2826.738
transcript.whisperx[67].end 2855.76
transcript.whisperx[67].text 就像以前的前瞻非常空幻的支出名目導致內容行政院提出的特別預算把各種可以想像目標全部都塞進去凡是勞健保的基金 資通環境乃至於教育人才培育全部都涵蓋已看不出和一般年度預算有什麼區別有媒體這樣的披露因為時間到了你就用一個書面因為你現在是包山包海
transcript.whisperx[68].start 2856.513
transcript.whisperx[68].end 2863.78
transcript.whisperx[68].text 好 那個主席長就請用書面來回答好 謝謝林德福委員接下來請吳秉瑞委員主席麻煩請主計長跟財政部長好 請陳主席長還有莊部長
transcript.whisperx[69].start 2884.215
transcript.whisperx[69].end 2898.196
transcript.whisperx[69].text 委員好今天這個預算編列總數是5700億但是因為那個強化台電的那個電網的韌性那200億已經被上次在談的時候就被拿掉所以你這次是編了5500億對不對
transcript.whisperx[70].start 2899.818
transcript.whisperx[70].end 2923.095
transcript.whisperx[70].text 不是 我們總經費是5700億然後5500億是這一次預算然後留200億是放在後續要編列所以那個強化電網是後續會過強化電網本身就刪除了所以那個就沒有編在這裡面所以將來還會再有另外200億的那個200億是另外的就是說也是產業方面將來如果是有不足的部分再來續編這個最佳的一個部分
transcript.whisperx[71].start 2923.615
transcript.whisperx[71].end 2947.231
transcript.whisperx[71].text 那裡面最大條的就是要普發現金2360億是可是你一用前幾年的稅計剩餘前三年的稅計剩餘累積了才4000多億對不對對 舉債要1000多億所以我們還得借1000多億的錢1056所以就是說我用比較簡單的口語話就是請教你說等於我們要借1000多億來發這2360億是
transcript.whisperx[72].start 2952.13
transcript.whisperx[72].end 2972.677
transcript.whisperx[72].text 因為之前的稅計剩餘加進來再加這1000多餘才夠這次預算的5700億是不是這樣的意思部長是不是這樣的意思我看你的報告裡面是這樣沒有錯是的那這樣合理嗎我們的財政狀況有好到這種地步嗎因為其實國際社會的變化就很大雖然
transcript.whisperx[73].start 2974.256
transcript.whisperx[73].end 2997.949
transcript.whisperx[73].text 過去這幾年財政的結構有非常大的改善從以前的舉債我以前第十二屆我第九屆立委來的時候那時候馬英九總統的舉借最高到達37點多接近那個40.6的上限幾乎都沒有舉債的空間了可是我看到你的報告說現在降到24點多這跟台灣的GDP
transcript.whisperx[74].start 2999.109
transcript.whisperx[74].end 3016.851
transcript.whisperx[74].text 這幾年有顯著提升也有關係然後另外舉債的比例變少因為我們之前幾年都有稅計剩餘是 我們一直努力的還債所以其實預算裡面編列那些舉借最後都沒有舉借所以我們舉借的比例一直降低是的
transcript.whisperx[75].start 3017.762
transcript.whisperx[75].end 3043.379
transcript.whisperx[75].text 可是現在國際的變化這麼大一下地緣衝突 二屋戰爭那一下就是美國的關稅問題 叫做談判所以我們未來感到要用錢的地方很多像美國一直要求說我們台灣要增加國防預算來保護自己那這個應該也是一個非常急切的事情所以我們雖然
transcript.whisperx[76].start 3045.086
transcript.whisperx[76].end 3049.51
transcript.whisperx[76].text 扣打已經增加出來很多了可是這樣子用合理嗎你認為這樣的財政支配合理嗎跟委員報告確實您說的很適合也就是說維持一個財政韌性是非常重要也就是說我們有稅基剩餘的時候第一個可以去因應國際政經情勢的一個變化或者是現在的所謂的氣候變異常的狀況救災的需要的錢這是非常重要的
transcript.whisperx[77].start 3069.145
transcript.whisperx[77].end 3079.27
transcript.whisperx[77].text 所以為什麼我們在稅入好的時候我們除了還預算的債要編列的債務債我們還增加還債這幾年來我們增加還債的1301億總計還了1兆0733億的錢所以當我們稅客收入好的時候我們都會積極的還債讓我們的債務比例往下降那麼才有空間來因應一些突發情勢部長 我跟你說明在第九屆 第十屆立委就是
transcript.whisperx[78].start 3096.357
transcript.whisperx[78].end 3118.287
transcript.whisperx[78].text 這個基本上蔡英文政府執政的時代立法院民進黨是多數那時候國民黨的委員都在這邊誓言旦旦一定要遵守財政紀律啊嚴格要求財政紀律結果現在他人多了加藍白多數之後立法來多花這些錢那以前為什麼就是要財政紀律現在的財政紀律是用這樣的方式在對待
transcript.whisperx[79].start 3119.537
transcript.whisperx[79].end 3146.966
transcript.whisperx[79].text 你覺得原因是什麼因為他覺得他自己可以當家他可以花這個錢他要把行政權用預算的權利搶在手裡是這樣嗎當然委員說的是沒錯就是說我們整個的財政紀律一定要遵守那麼才能夠國家作為長遠發展的財政需求來支應整個環境的變化那你覺得我們這一次這樣子的做法有遵照財政紀律嗎
transcript.whisperx[80].start 3148.153
transcript.whisperx[80].end 3171.144
transcript.whisperx[80].text 這一次當然因為特別條例這樣訂了以後就財政部來說還是要去注意債務的一個控管一定要在公債法的上限之下來做執行部長你如果這樣講公債法舉債的空間要很大但是問題是你不預留一些金額不預留一些扣打將來國家發生變動或是發生天然災害的時候預備金不夠的時候那要怎麼辦
transcript.whisperx[81].start 3173.218
transcript.whisperx[81].end 3193.761
transcript.whisperx[81].text 確實要特別留意這個我們一定要到時候立法院再來說我們再把40.6的這個舉在上限再提高嗎還是要像美國這樣子因為兩黨的黨爭所以政府部門關門我想債務的控管是大家都很注意的事情而且我們的債務整個比例在國際來說是非常優等的這也就是各個性平機構給我們
transcript.whisperx[82].start 3194.602
transcript.whisperx[82].end 3213.378
transcript.whisperx[82].text 我是觉得要注意财政纪律既然是大家要求的标准不应该执政或是不应该是少数党多数党的时候就像初一十五不一样是这是国家整体的财政是好谢谢好我们谢谢吴秉瑞委员接下来我们请颜宽恒委员发言
transcript.whisperx[83].start 3221.182
transcript.whisperx[83].end 3225.326
transcript.whisperx[83].text 主席各位聯席各位大家早主席有請財政部莊部長請莊部長委員好
transcript.whisperx[84].start 3235.61
transcript.whisperx[84].end 3257.757
transcript.whisperx[84].text 部長早部長這項強化任性特別預算民眾最關心的還是普發現金一萬塊的部分這個政策是希望說民眾在面臨即將美國關稅的衝擊還有物價上漲的這個時候可以有喘口氣的空間
transcript.whisperx[85].start 3259.157
transcript.whisperx[85].end 3278.689
transcript.whisperx[85].text 但是卻有詐騙集團冒用財政部的名義架設普發現金領取網站向民眾索取個資 使民眾上當那一萬塊還沒領到就不知道要先撩多少錢這也不能怪民眾我們看後面這個這個就詐騙網站這些網站網址跟我們財政部的網站看起來都很像 如出一策
transcript.whisperx[86].start 3289.27
transcript.whisperx[86].end 3316.091
transcript.whisperx[86].text 這些詐團就是看中民眾這個急需用錢所以在很多有一些年紀稍大的或者是所謂的數位落差的地區他也不知道我們政府政策實施進度到底如何所以就上當受騙部長除了宣導之外呼籲之外到底有什麼具體的措施可不可以告訴我們
transcript.whisperx[87].start 3316.894
transcript.whisperx[87].end 3320.617
transcript.whisperx[87].text 是 謝謝委員關切提出這樣的問題其實我們非常重視這個在我們這一次普發現金的專案小組裡面一個工作小組裡面我們多了一個打擊詐欺小組這個部分然後我們還成立了防詐騙的專案小組然後建置了一個偵測的冒發網站的一個機制24小時我們會在網路去做監控
transcript.whisperx[88].start 3342.613
transcript.whisperx[88].end 3360.961
transcript.whisperx[88].text 對類似像這樣您看看在畫面上所呈現的尾帽的王子還有logo我們會立即的通報然後做解析然後做後續的追蹤那我想這個部分也再一次的在這裡希望就是大家民眾知道等到這個特別預算過了公布以後財政部會立即發布新聞稿召開記者會告訴大家哪一個時間點去有什麼做哪一種方式的領取那在這個之前其實都還沒有開始發放那也就不要在這個網路上
transcript.whisperx[89].start 3370.165
transcript.whisperx[89].end 3385.814
transcript.whisperx[89].text 部長我的理解是說就你剛剛講的說還沒有開始發放然後這些具體的防護措施這些呼籲繼續進行但是我們沒有其他更進一步的如何的防炸打炸的部分比如說我們的網站到底設好了沒有
transcript.whisperx[90].start 3386.833
transcript.whisperx[90].end 3392.197
transcript.whisperx[90].text 我們的網站已經在完成設計了然後等到特別預算過了要等這個預算通過才有辦法嗎等預算通過以後才能夠實際執行因為條例裡面就規定等於這段空窗期很大你知道嗎
transcript.whisperx[91].start 3403.804
transcript.whisperx[91].end 3409.587
transcript.whisperx[91].text 這段空窗期只能靠呼籲嘛因為我們現在只能靠呼籲而已我們兩個在這邊講然後這個新聞脫波就只能這樣子啊沒有沒有您看這個部分也是偵測到了以後立即做這個停止網站的這個作業我們這個作業並沒有停止一直都在進行當中而且有實際的成果那內政部他們是次長是這個打詐小組的一個召集人員希望跟書發部警政署合作會的
transcript.whisperx[92].start 3430.498
transcript.whisperx[92].end 3447.021
transcript.whisperx[92].text 跟检警合作要把这些网站的负责人找出来会继续追查要把它找出来严惩不法严惩不贷好不好是 好部长请回谢谢主席有请我们卫务部女次长还有主席女次长
transcript.whisperx[93].start 3457.475
transcript.whisperx[93].end 3474.903
transcript.whisperx[93].text 主席長 請問一下時間有限 不好意思 我本來要分開請謝謝 次長跟主席長我希望說因為我看了你們特別預算便利的部分大多是因為因應美國關稅衝擊
transcript.whisperx[94].start 3478.184
transcript.whisperx[94].end 3502.631
transcript.whisperx[94].text 像是經濟部就提了中小企業貸款還有農業部提了農業貸款利率加碼補助這個部分都是幫助受影響的企業希望能夠幫助民眾度過這次危機提出了益住健保200億加發經濟弱勢族群13個月生活補助金還有擴大推動獨居老人關懷這些關懷弱勢 獨居老人我都非常的支持
transcript.whisperx[95].start 3503.371
transcript.whisperx[95].end 3529.189
transcript.whisperx[95].text 但是我看到一個項目衛福部怎麼會把宣導費也編在特別預算裡面預算法83條規定說當國家發生一個緊急特別的狀態例如戰爭 經濟重大變故 重大災變以及不定期或數年一次的重大政事所以來編列特別預算但是這些宣傳費算是重大變故嗎
transcript.whisperx[96].start 3530.409
transcript.whisperx[96].end 3540.932
transcript.whisperx[96].text 這個是要哪一位回答 委員會回答嗎委員 非常感謝你對這個問題的關心我想委員你也常常很關心我們的獨居長輩但是我們獨居長輩有一個問題他們常常對外面的資訊比較不了解有時候我們在合議 我們要來照顧他有時候怕說 有這個詐騙集團所以我如果委員報告就是說我們獨了傳統 我們用我們的方式我知道 次長有在講 我跟你說我們也是要用廣播的方式時間有限
transcript.whisperx[97].start 3558.396
transcript.whisperx[97].end 3571.366
transcript.whisperx[97].text 我不能浪費後面委員的時間但是這個特別預算本來就緊急狀態之下才來編列重大一個樣態的情況之下需要需求所以這個就一般預算來編列才對那你現在把
transcript.whisperx[98].start 3575.261
transcript.whisperx[98].end 3593.449
transcript.whisperx[98].text 這個不夠的 想要用的全部都放進去然後讓我們這些委員來背書來同意你們預算的一個提出你把這個緊急預算常態化就是在破壞財政機率讓公共債務的攀升加速所以這個是萬萬不可
transcript.whisperx[99].start 3594.289
transcript.whisperx[99].end 3603.092
transcript.whisperx[99].text 好不好 我們要檢討市長 好不好 主席用書面回答好不好 書面回答不應該把這樣子的一個破壞財政機率的這樣子變成一個常態化可以嗎你用書面來 用書面回答好不好時間的關係 好 謝謝好 謝謝 感謝委員 謝謝
transcript.whisperx[100].start 3619.338
transcript.whisperx[100].end 3626.001
transcript.whisperx[100].text 好 謝謝原礦元委員接下來我們請陳婷菲委員發言謝謝主席 我們請主席長好 請主席長
transcript.whisperx[101].start 3645.094
transcript.whisperx[101].end 3656.823
transcript.whisperx[101].text 主席我想請教一下我們現在普發現金一萬元的整個發放流程是誰在控管這個部分是財政部來我們請財政部請財政部
transcript.whisperx[102].start 3665.293
transcript.whisperx[102].end 3681.831
transcript.whisperx[102].text 是委員好部長這一萬塊的現金發放的時間表是由誰在控管是您嗎跟委員報告在行政院有一個專案小組是由行政院秘書長當召集人那我是副召集人我和那個國發會主委
transcript.whisperx[103].start 3683.653
transcript.whisperx[103].end 3691.756
transcript.whisperx[103].text 是副召集員那我們下面有六個分組那至於時間點的部分其實第一個就是這個特別預算過了以後總統公布一個月內開始發放所以我們現在這個時間點只要總統一公布以後後面就開始排往後
transcript.whisperx[104].start 3699.318
transcript.whisperx[104].end 3714.113
transcript.whisperx[104].text 一直有序的進行所以這個時間點只要公布以後我們就開始把所有時間點會告訴所有民眾大眾讓社會大眾知道這個很重要是的 非常重要所以我為什麼在今天特別提醒是誰在負責
transcript.whisperx[105].start 3715.434
transcript.whisperx[105].end 3742.531
transcript.whisperx[105].text 當然你說秘書長可是轄下有副召集人那也有由您跟國發會那下面還有幾個單位那分門他們所負責的單位都不一樣嘛他們負責的一個項目主責的都不一樣可是你們的控管非常重要每一個環節都不能有差錯時間都不能有差錯
transcript.whisperx[106].start 3743.311
transcript.whisperx[106].end 3772.791
transcript.whisperx[106].text 因為我們從10月3號我們立法院邀請行政院長卓榮泰列席報告預算的編制狀況然後10月8號財政委員會就是今天聯席審查今天質詢明天處理所以呢如果是這樣子的話大家無異議用協商的方式很快的因為前面已經有案例了趕快出我們的院會裡面然後立法院
transcript.whisperx[107].start 3773.411
transcript.whisperx[107].end 3781.409
transcript.whisperx[107].text 出然後總統就可以做公告了對不對那預計好我們預計什麼時候完成三讀
transcript.whisperx[108].start 3783.39
transcript.whisperx[108].end 3805.398
transcript.whisperx[108].text 那個預計完成三堵要由大院來做決定總是有抓一個大概的時間吧如果說依照這個時間點了好我現在大膽預測大膽預測如果依照整個我們的院會的時間然後在二堵三堵通過之後然後由總統公告應該是10月17號
transcript.whisperx[109].start 3808.139
transcript.whisperx[109].end 3829.797
transcript.whisperx[109].text 預計啦 就是當初選的所以我們也要拜託我們各黨團還有我們的立法院院長在協商當中要儘速 儘快能夠把這樣的一個問題凸顯給大家我們真的大家都很用心好 如果10月17號真的
transcript.whisperx[110].start 3830.518
transcript.whisperx[110].end 3841.986
transcript.whisperx[110].text 我們院會都沒有任何其他的問題通過了這十月十七就是我們歡迎大家這裡嘛如果通過之後一個月那麼預計是11月17號以內就會發放嗎
transcript.whisperx[111].start 3849.636
transcript.whisperx[111].end 3873.734
transcript.whisperx[111].text 是的 一定會那因為10月17號大院如果三讀通過盡快送請總統公佈的話在那當天總統公佈當天財政部會開記者會告訴所有社會大眾每一個時間點我們做的事情跟民眾可以開始來用哪一種方式來領取我們都會跟社會大眾說明而且會用多種的管道來做宣導讓民眾了解
transcript.whisperx[112].start 3875.695
transcript.whisperx[112].end 3902.846
transcript.whisperx[112].text 那所谓一个月内是什么样的一个月内如果说你当天你们都可以公告了公告说所有的民众可以透过哪几个方向哪几个方向来处理那所谓一个月内的重点是什么这个一个月内包含你可以到网站去登记然后登记完以后就会用话播到你的账户或者什么时间点可以去ATM领什么时候时间点可以到邮局去所以我们开始真的现金
transcript.whisperx[113].start 3904.988
transcript.whisperx[113].end 3923.764
transcript.whisperx[113].text 現金進入到的帳戶是一個月對不對就在這個準備期一個月之內各個方式我們都會去做那當然跟他什麼時間去網站登記有關另外還有有一些是直接入帳的直接入帳根據我們上一次的發放的結果大概直接入帳的有照冊入帳的有
transcript.whisperx[114].start 3929.688
transcript.whisperx[114].end 3943.113
transcript.whisperx[114].text 400多萬嘛400多萬人是直接入帳425萬直接入帳那這個部分又政府要來做把名冊做完核對以後然後輸入系統這個東西都要非常謹慎第一個不能重複不能遺漏
transcript.whisperx[115].start 3943.473
transcript.whisperx[115].end 3968.183
transcript.whisperx[115].text 所以這個也是一個月內也會做這樣的完成嗎這個一個月內都在做我們前置作業開始準備對我覺得這個重點部長前置作業425萬這個自動入帳的這個部分前置作業現在就可以做了前置作業但是還是要等到總統公佈那一天把名冊決定然後輸入到我們行政程序先做我們先相關收集然後讓各部會知道行政程序先做好不好
transcript.whisperx[116].start 3968.963
transcript.whisperx[116].end 3980.45
transcript.whisperx[116].text 行政程序做完等到總統一公佈的時候那麼我們就可以同步去進行這些行政的對 這很重要 部長我們要把每一個關卡把它兜好不要說現在我們既然已經跟人家說一個月內只要總統公告之後一個月內我們一定會進行發放我們就要說到做到好 拜託部長好 謝謝
transcript.whisperx[117].start 3999.602
transcript.whisperx[117].end 4002.203
transcript.whisperx[117].text 好 謝謝接下來我們請賴世保委員發言好 謝謝主席及各位先進我想請國防部長衛福部的長官內政部長 警政署長
transcript.whisperx[118].start 4027.158
transcript.whisperx[118].end 4031.829
transcript.whisperx[118].text 勞動部的長官郭士芳部長一起好不好就等因為我們時間非常短所以一起上來我就一個一個先問來
transcript.whisperx[119].start 4040.327
transcript.whisperx[119].end 4062.005
transcript.whisperx[119].text 首先請教國防部的部長 顧部長這一次的特別預算大家都知道特別預算是針對什麼是針對美國的要扣台灣的關稅20%加N 就疊加關稅是舊產業跟他的勞工的部分還有經濟部長一起好不好經濟部長一起上來經濟部長一起上來 國防部長謝謝結果一下國防部編了
transcript.whisperx[120].start 4070.253
transcript.whisperx[120].end 4076.058
transcript.whisperx[120].text 很多部位還有教育部長一起教育部長一起教育部長一起教育部正部長也請上來
transcript.whisperx[121].start 4080.834
transcript.whisperx[121].end 4087.755
transcript.whisperx[121].text 原來是為了說救產業 救勞工結果各部要來搶錢 趁火打劫國防部最離譜他等於搶了最多國防部明年部的預算已經變了9000多億了創歷史新高要佔GDP的3.34%已經這麼高的比例結果現在又搶了1130億加起來的話 如果加明年度等於
transcript.whisperx[122].start 4109.54
transcript.whisperx[122].end 4117.826
transcript.whisperx[122].text 明年我們審完以後 明年度預算加這一次的1130億就一兆630億GDP啊 佔GDP比重不是3.3%就3.7%啦3.7%啦 各位委員 各位委員報告 您可能有點誤解這個9000多億是含這一次的1132有嗎
transcript.whisperx[123].start 4134.17
transcript.whisperx[123].end 4149.792
transcript.whisperx[123].text 就是九千四百多億我們分成一一三二分成兩年嘛一一五跟一一六在一一五裡面的部分大概三百多億是含在九千四百多億裡面你這個把它解釋清楚 可以然後就問你你是不是要逐年增加到五八
transcript.whisperx[124].start 4151.593
transcript.whisperx[124].end 4170.695
transcript.whisperx[124].text 我想我们的现在的目标就是说我们明年希望能够达到刚刚委员提到了3.34后年还在往后撑那我们后续还是依照我们的整体的这个战力的建构的必要来逐步提升有可能达到川普政府要求我们的10%吗
transcript.whisperx[125].start 4172.269
transcript.whisperx[125].end 4189.066
transcript.whisperx[125].text 我想我們現在的目標應該還是從四個面向就是有關不對稱 防衛韌性貨幣戰力跟印尼黑車地帶我們會逐步的來依照我們的防衛作戰能力的需求來增加就問你這個事情 目標有沒有10%
transcript.whisperx[126].start 4190.291
transcript.whisperx[126].end 4216.999
transcript.whisperx[126].text 我們現在就依照總統的這個承諾我們先達到3%那按照北約的這個核心的國防支出我們到達3.5%之後我們未來會再按照我們的整體防衛專案的這個需要我們逐步看看未來我們按照北約的核心國防支出還有韌性的這個相關的支出我問問題你都沒回答我什麼時候會到5%我就問你是不是第一個是不是逐年增加
transcript.whisperx[127].start 4218.491
transcript.whisperx[127].end 4223.136
transcript.whisperx[127].text 總統有宣示是在2030年的時候到5% 對嘛所以這個5%是什麼概念5%我們的排擠多少預算排擠多少預算好了 這個我們的國防還有那個經濟部長好了換經濟部長好了
transcript.whisperx[128].start 4237.888
transcript.whisperx[128].end 4242.492
transcript.whisperx[128].text 你在當國會主委的時候你說如何讓美國再次偉大結果總統現在對外接受外國媒體的專訪對外講了要讓美國再次偉大怎麼會把台灣自我矮化成為美國第51週啊
transcript.whisperx[129].start 4253.817
transcript.whisperx[129].end 4260.039
transcript.whisperx[129].text 我們這麼重要的自己的國家怎麼會讓它偉大這到底是什麼跟什麼最早是你講的啊我為什麼找你來是你講的你說讓美國更加偉大台美關係是互利雙贏美國好 台灣也會好所以美國要先偉大就對了所以我們是合作夥伴關係你現在還強調美國再次偉大是你重要的時針
transcript.whisperx[130].start 4281.204
transcript.whisperx[130].end 4304.455
transcript.whisperx[130].text 互利雙贏 互利雙贏我們彼此跟美國之間是互利雙贏的你沒回答問題你是不是第一個你講的所有部長裡面是你第一個講的讓美國再次偉大不是 立足台灣佈局全球台灣先偉大台灣先偉大 中華民國先偉大怎麼美國先偉大可是你不要急著否認你就是因為講了讓美國再次偉大所以你當了部長否則沒有部長可以當
transcript.whisperx[131].start 4309.398
transcript.whisperx[131].end 4316.545
transcript.whisperx[131].text 不要忘了 因為你是你去捧這個川普啊我們看教育部長啊教育部長啊我在總實行提過啊你這個產學合作啊 產學合作
transcript.whisperx[132].start 4325.253
transcript.whisperx[132].end 4326.413
transcript.whisperx[132].text 產學合作 你為什麼要編一百億呢廠商的需求比你高 對不對你編一百億 搶錢啦 趁火打劫啊產學合作就是產業跟你合作的我們現在因為過去我們的產業
transcript.whisperx[133].start 4344.699
transcript.whisperx[133].end 4347.201
transcript.whisperx[133].text 在產協合作比較是單一的這些教授產業要多付錢 怎麼叫多付錢我們現在是希望用產業去設立講座有一個類醫學院的這樣一個概念謝謝大人 謝謝就不跟你扯了
transcript.whisperx[134].start 4361.294
transcript.whisperx[134].end 4376.785
transcript.whisperx[134].text 這個我覺得這不可思議委員如果不了解我可以私底下再跟委員報告但是我們真的因應產業上人才的需求我們真的很用心請他用書面回答好不好謝謝委員指正劉部長我就有三秒鐘 劉部長劉部長 來來來好 三秒鐘 掌握時間外面指控你的喝喝喝你是不是有喝喝喝 有沒有
transcript.whisperx[135].start 4386.811
transcript.whisperx[135].end 4399.256
transcript.whisperx[135].text 報告委員 這件事情我已經在昨天表達過了我們就按照災害防救法裡面 如果有人變照或是有人沒有全文照登 那我們就移送給地檢署因為我現在跟您解釋 到時候還是會被斷章取義好 謝謝賴司保委員部長請回 接下來我們請郭國文委員發言
transcript.whisperx[136].start 4419.361
transcript.whisperx[136].end 4423.407
transcript.whisperx[136].text 主席有請經濟部管部長勞動部陳市長以及農業部陳部長陳部長還有那個
transcript.whisperx[137].start 4430.789
transcript.whisperx[137].end 4449.003
transcript.whisperx[137].text 國務部長 我們把握時間你也知道最近芬蘭能源清潔空氣研究中心公布了一個台灣從俄羅斯進口的石油腦的部分高達49億目前是全球排名第三今年看起來是排名第一俄羅斯的部分還有包括進口煤炭的部分也是第五買家
transcript.whisperx[138].start 4449.904
transcript.whisperx[138].end 4463.556
transcript.whisperx[138].text 外界開始質疑說台灣是會變成一個戰爭的幫兇從道德面來說是這樣子從經濟面的部分目前川普已經放話說你如果購買俄羅斯原油的國家的話對等關稅會再加
transcript.whisperx[139].start 4465.517
transcript.whisperx[139].end 4481.183
transcript.whisperx[139].text 印度就是一個很明顯的例子三來國安的一個問題俄羅斯石油腦站台灣的進口量45%的話那俄羅斯是中國最重要的盟友那一旦斷絕這個供應的話那會影響台灣的一個國安問題這件事情那個部長你有沒有掌握你怎麼看怎麼處理
transcript.whisperx[140].start 4482.698
transcript.whisperx[140].end 4493.945
transcript.whisperx[140].text 鮑委員 事實上巫俄戰爭以後至少我們國營事業的中油就沒有這我清楚 國營事業是沒有但是目前是台塑有台塑的確是有買我們也跟台塑溝通過了只能道德勸說嗎 沒有其他的辦法嗎他的認知是說他有符合G7跟歐盟的相關規範就是一定的金額以下
transcript.whisperx[141].start 4504.691
transcript.whisperx[141].end 4527.09
transcript.whisperx[141].text 那我們有跟他溝通你站在國家的立場可以這樣子嗎台塑賺走了錢那我們卻承擔整個關稅增加的風險經濟部不是主責關稅的談判之一嗎台塑想就是說如果有明確的因為說老實話歐盟跟G7他怎麼樣執行彼此之間我們有去問過歐盟的相關意見所以說你認為現在沒有風險沒有道德的風險
transcript.whisperx[142].start 4530.613
transcript.whisperx[142].end 4554.253
transcript.whisperx[142].text 所以我們去這樣子的情況底下沒有道德的風險最近烏克蘭也指控我們有些無人機的零件又是我們處理的我們沒有道德的風險沒有國安的風險沒有經濟的風險那三個都沒有現在確定的就是說我們會遵循就是說符合或配合歐盟跟G7他們的相關規範歐盟跟G7的標準符合的話我們就沒有這個風險你的意思是這樣子嗎
transcript.whisperx[143].start 4555.72
transcript.whisperx[143].end 4572.057
transcript.whisperx[143].text 如果據了解啦據了解歐盟可能在明年的時候會講說就不要再買了那如果突然之間川普說要因此而給你增加關稅呢你怎麼承受我們怎麼承受沒有聽到這樣的訊息沒有聽到這樣的訊息沒有聽到這個訊息那有沒有這個可能性
transcript.whisperx[144].start 4573.358
transcript.whisperx[144].end 4599.647
transcript.whisperx[144].text 我沒有辦法預測沒有辦法預測那他就一個潛力在那邊印度就一個潛力在那邊我們只能跟這個我們的民間廠商來做溝通他也願意配合那他願意配合願意配合怎麼配合法如果歐盟明年說不能買他就不買所以說這樣承受我們就直接承受等到歐盟明年改變再改變明年改變我們再跟著改變是不是這樣子
transcript.whisperx[145].start 4600.683
transcript.whisperx[145].end 4611.58
transcript.whisperx[145].text 沒有 現在的情況它因為相關的歐盟的規範它是符合可是問題還是停留在一個風險的存在不是嗎你說這三個都沒有風險
transcript.whisperx[146].start 4614.383
transcript.whisperx[146].end 4641.162
transcript.whisperx[146].text 有 我們有Watch到你有Watch到了我是希望你說你要盡量避免盡量避險的角度我主要跟你Argue的是這個部分要有所作為而另外的部分因為232條款當中一直都針對是半導體的部分可是一般的補助的部分一般的非半導體的部分衝擊非常的大我是提醒部長的部分這個部分應該要有一個特專案的補助而不是只有一般性的只有研發型補助500萬或者開拓另一市場500萬而已
transcript.whisperx[147].start 4642.483
transcript.whisperx[147].end 4660.733
transcript.whisperx[147].text 我請部長回去好好的思考一下這個問題好不好那個461基本上大部分是針對傳統性產業因為232還沒有公佈所以這個金額的協助所以說不是一般的不是普及性的而且有專案式的對不對對 是針對我們會專案去輔導我們輔導團會去專案因為這部分衝擊非常的大另外我再請一下農業部的陳部長
transcript.whisperx[148].start 4667.837
transcript.whisperx[148].end 4673.041
transcript.whisperx[148].text 部長依照我們目前的這個農業的這個逆差的部分高達28億然後你現在又要採買100億我看到可能最大的衝擊可能來自於這個肌肉的部分的可能性會比較大因為肌肉的部分目前所佔的這個市場站在我們的肌肉市場來說的話35%跟50%
transcript.whisperx[149].start 4688.053
transcript.whisperx[149].end 4717.153
transcript.whisperx[149].text 這個部分因為在你這部分預算當中我看到的是你編的大概將近45億的部分在鼓勵開拓美國高端的外銷市場但是去年去美國市場不過是51億而已然後你居然花了將近45億來做補助出口的部分可是進口的部分 充其的部分這裡頭卻沒有看到部長你是怎麼編這個預算的請你說明一下第一個我跟委員說明就是這次到美國是由業者自己買的買的是主要是
transcript.whisperx[150].start 4718.273
transcript.whisperx[150].end 4729.379
transcript.whisperx[150].text 飼料用的黃豆 玉米 小麥對 從巴西那邊一轉過來這邊所以它不是說會衝擊然後也沒有說要去購買雞肉的部分這個要特別說明第二個部分是說因為現在
transcript.whisperx[151].start 4731.429
transcript.whisperx[151].end 4738.795
transcript.whisperx[151].text 進口的部分的這些關稅現在還在談判但是我們現在針對已經知道的這個關稅20%這個部分我們去編列所以進口的部分主要是黃小玉的部分而不是對國內的農業會造成什麼充其但是出口的部分你應該要有所掌握
transcript.whisperx[152].start 4748.783
transcript.whisperx[152].end 4771.95
transcript.whisperx[152].text 高達45億的補助不應該只有補助到一些貿易商或出口商絕對不會我們是整個供應鏈特別是針對人民的部分出口市場能夠得以開拓的可能性好不好你要自己定一個目標去年才51年現在補助了45億這個比例上太過45億不會全部是美國啦對啦但是你現在寫的是美國高端市場嘛好不好好 謝謝好 謝謝郭國文委員接下來請蘇巧惠委員發言
transcript.whisperx[153].start 4784.895
transcript.whisperx[153].end 4788.577
transcript.whisperx[153].text 好 謝謝主席我們請龔明欣 龔部長好 請龔部長所有人好部長好部長 我想今年7月以來台灣被兩個天災這個衝擊影響非常的大一個就是7月的丹尼斯颱風一個是剛剛發生的花蓮的馬太安艷澀湖的溢流事件那我想這兩個災害其實都遇到了停電這樣的問題
transcript.whisperx[154].start 4812.148
transcript.whisperx[154].end 4825.854
transcript.whisperx[154].text 只是丹尼斯颱風台南的受災的部分停電的時間比較久而馬太安的這個事件當中部落當中其實我們可以看得出來它當天下午一流之後停電了4000戶可是晚上10點就已經復電3600戶高達9成
transcript.whisperx[155].start 4829.716
transcript.whisperx[155].end 4833.657
transcript.whisperx[155].text 那不管怎麼樣都受到了影響所以我是想跟部長討論的是電網韌性的問題因為我們今天在討論這個韌性條例當中其實是說因應國際情勢可是天災事實上也大幅的影響了我們整個民生的狀況
transcript.whisperx[156].start 4847.401
transcript.whisperx[156].end 4869.961
transcript.whisperx[156].text 所以第一個電網韌性的部分的話部長我個人認為啦其實可以分成兩個部分第一個是事前的韌性事前的不韌性就應該是防災預防就像是這個平和公路現在電纜地下化就等於完全把這個問題給解決掉了所以電纜地下化現在被大家所極力的爭取這是事前預防
transcript.whisperx[157].start 4870.982
transcript.whisperx[157].end 4892.63
transcript.whisperx[157].text 第二个任性的部分就是事后救灾的速度就是刚刚提到的马太安的像这个事件能够在几个小时之内就复建完成事前事后都是属于任性的一部分不晓得部长你同不同意是 报告委员就是说因为台南的部分因为整个2000多只的电线杆都倒了所以说它是复原是比较
transcript.whisperx[158].start 4893.65
transcript.whisperx[158].end 4916.617
transcript.whisperx[158].text 我們台電同仁也日夜去搶修馬太安的這個部分它水退了以後如果沒有淤積的部分就可以很快的恢復起來所以我們當初在這一次的特別預算裡面有編列希望200億可以加強我們電網的韌性但是非常遺憾的是被刪掉了
transcript.whisperx[159].start 4916.917
transcript.whisperx[159].end 4938.347
transcript.whisperx[159].text 沒錯所以現在就是丹納斯颱風的特別預算的部分有編了一百零而已不過那個是比較是復原性質的針對台南跟嘉義地區的復原性質那是屬於剛剛說的事後的部分我們本來是希望提升這一個包括電網的一些韌性但是就沒有被通過了
transcript.whisperx[160].start 4938.407
transcript.whisperx[160].end 4951.053
transcript.whisperx[160].text 好 謝謝部長提到這個部分這也就是我今天想跟你討論的啦其實我是覺得這個部分在我們本來提韌性條例的時候其實分兩次嘛第一次您提到了1000億其實是改善台電的財務結構的部分第二個部分的話其實就是增強這個電網韌性的部分
transcript.whisperx[161].start 4955.515
transcript.whisperx[161].end 4974.772
transcript.whisperx[161].text 其實兩次的提出都非常的需要都是台灣現在電網韌性要能夠達到一個標準是都很需要的很可惜的是真的是沒有過可是因為看了兩次災害之後呢我認為啦就算這次的目前預算沒有過在特別條例沒有通過可是
transcript.whisperx[162].start 4976.234
transcript.whisperx[162].end 4998.355
transcript.whisperx[162].text 從災區回來我認為還是有幾件事情應該要做的這個我跟部長分享一下第一個是我是認為正是因為去到災區看過了以後我覺得關鍵場域的電網韌性應該要優先施作也就是公共場域像是學校教會的這個部分它的周邊的電網如何能夠確保這個是我覺得特別需要的部分
transcript.whisperx[163].start 4999.015
transcript.whisperx[163].end 5013.495
transcript.whisperx[163].text 這是第一個第二個甚至是在這一些關鍵的場域公共的區域剛剛說的學校教會這是舉例而言而已那其實是不是能夠發展到儲能的部分我也覺得這個應該要討論
transcript.whisperx[164].start 5015.518
transcript.whisperx[164].end 5037.896
transcript.whisperx[164].text 第二個是我們現在既然使用了大量的光電系統老實說光電系統其實應該是有光就有電可是因為它的特性我們設置了孤島的效應避免到時候因為有災害的發生讓我們去修復光電的人員受損所以我們做了一個孤島效應可是在災害發生的時候它卻反而形成了孤島保護我想這個專有名詞我應該不用跟部長討論
transcript.whisperx[165].start 5040.678
transcript.whisperx[165].end 5066.388
transcript.whisperx[165].text 所以孤島保護反而讓我們的這個地區本來可以利用光電的特性有發電卻沒有發電那這個應該要怎麼被解決所以從這三項關鍵地區的韌性關鍵地區的儲能以及孤島保護怎麼改善這是三項我認為在韌性當中應該馬上可以提升的
transcript.whisperx[166].start 5067.148
transcript.whisperx[166].end 5086.612
transcript.whisperx[166].text 在衍生回來其實台灣特殊的狀況下有很多的原住民部落就是直接符合這三項的要求所以當時就說經濟部是不是應該跟內政部 人民會共同討論把原住民部落整個提升成為部落都應該要考量這個部分我想兩個層次三個問題四個問題應該都是請部長部長我舉例列舉這四個你同意嗎
transcript.whisperx[167].start 5092.293
transcript.whisperx[167].end 5111.098
transcript.whisperx[167].text 我同意事實上我們大的方向也是往這個方向在做剛剛提到學校本身就是很多的是災後的收容場所那個本來我們就是會加強那剛剛提到的有一些孤島的我們加強這個太陽能板跟它的這個智慧儲能我們現在也有一筆經費正在施做這個部分對
transcript.whisperx[168].start 5111.758
transcript.whisperx[168].end 5140.334
transcript.whisperx[168].text 所以我們特別因為從災區回來看到了這個狀況所以認為這四項其實是特別應該做的那不只是應該要有預算的支持其實法規面向的鬆綁可能也是需要要考量的比如說電業法當中的特定電力供應業的這個部分要怎麼去處置因為主席已經站起來了所以我知道我時間到了但我是希望經濟部的這個部分部長您是不是可以請經濟部看是哪一個單位特別來跟我們辦公室這邊就電網任性的部分我們再做進一步的討論
transcript.whisperx[169].start 5141.174
transcript.whisperx[169].end 5142.315
transcript.whisperx[169].text 謝謝主席 有請經濟部長 農業部長請國務部長還有陳部長
transcript.whisperx[170].start 5162.816
transcript.whisperx[170].end 5180.594
transcript.whisperx[170].text 是 部長早安那我們知道在這一次國安任性特別預算裡頭它的總額編了5500億那其實政府面對的國際的一個變局的一個關鍵的一個部署身為執政黨的委員我是全力的一個支持
transcript.whisperx[171].start 5181.255
transcript.whisperx[171].end 5197.931
transcript.whisperx[171].text 可是今天要跟大家探討的重點不是在有沒有編而是在編了有沒有去執行那針對的就是蘭花產業我們從台南株花走向世界那我們知道說蘭花產業之前是零關稅
transcript.whisperx[172].start 5199.592
transcript.whisperx[172].end 5222.993
transcript.whisperx[172].text 現在是20%暫時是20%的一個關稅那我在這裡我要請教經濟部長因為在我們加州有一個台塘的土地有有對這一個案子你熟悉嗎我知道我知道你知道因為農業部有在規劃希望借接這個廠醫的應用那我們是會全力配合
transcript.whisperx[173].start 5223.913
transcript.whisperx[173].end 5244.401
transcript.whisperx[173].text 會決定配合會全力配合那你知道這一次這一個預算我們提出了一個三千美金的一個預算那我在這裡要特別跟我們的經濟部長做一個拜託因為這攸關我們台灣尤其是我們台南這一個南華產業最重要最重要的生存面臨之際
transcript.whisperx[174].start 5245.922
transcript.whisperx[174].end 5267.668
transcript.whisperx[174].text 那我想這個要真的就是說請部長請部長經濟部長你要特別的一個支持因為農業面臨到的一個困境我相信農業部長非常的一個清楚就在這個7月6號7月6號就是災情發生的時候還有就是在早期4月份的時候我們已經跟農業部長到了我們的蘭花園區裡頭去做了幾次的一個產業座談會
transcript.whisperx[175].start 5273.769
transcript.whisperx[175].end 5302.176
transcript.whisperx[175].text 好如何從危機走向轉機謝謝部長我在這裡要跟農業部長特別強調就是說業者他主動的出擊他跟我們提供了在南加州的這一個這一個園區的一個建議那事實上他可以就是避掉關稅然後擴充市場那可以降低耗損那我希望那個就是說部長你對於這一個計畫案你的看法是怎麼樣
transcript.whisperx[176].start 5303.336
transcript.whisperx[176].end 5329.819
transcript.whisperx[176].text 我跟委員報告謝謝委員的關心那第一個部分就是這塊地我們已經跟台塘也透過經濟部我們也跟台塘講了台塘這塊地他會全力的配合他本來想要賣掉嘛對他現在不賣了他全力配合我們政府的政策第二個部分說這樣的一個基地當作蘭花的一個生產基地這樣的一個生產接地生產的一個基地那基地面積大概5公頃
transcript.whisperx[177].start 5330.62
transcript.whisperx[177].end 5355.297
transcript.whisperx[177].text 那有一個非常重要的前提就是業者他們現在正在組團隊因為業者組完團隊了以後我們就會開始去規劃整個五公頃的燃源要不要重新的去更新因為很多燃源都是木造的都是早期的燃源的部分所以它是一個需要一個系統性的規劃那這個我想我們持續在做
transcript.whisperx[178].start 5355.757
transcript.whisperx[178].end 5375.124
transcript.whisperx[178].text 那相關的進度有一個委員報告所以部長我現在就是要特別跟你強調就是說我們必須要趕在業者的前面因為你這一個已經晃了二三十年你就是一個閒置的一個空間了那如果你這個園區你沒有提早規劃的時候你應該是要提早規劃我們已經同步啟動了同步對
transcript.whisperx[179].start 5376.684
transcript.whisperx[179].end 5396.101
transcript.whisperx[179].text 我甚至認為應該要更超前因為藍圓的設計不是 藍圓的設計一定要符合業者需求那現在業者本身對這個藍圓的設計還在討論我們當然標準藍圓是可以蓋的但是不同的業者之間他們會找到一個大家都可以用的那有沒有辦法在第一階段就有量產60萬株
transcript.whisperx[180].start 5399.42
transcript.whisperx[180].end 5428.49
transcript.whisperx[180].text 有沒有機會機會不大那你打算你第一階段你要做多少我想第一階段把它現在的五棟溫室裡面的一棟可以用的溫室看看是可以先做一些維修緊急的維修那這樣的話才有機會把一些燃苗送到那邊做接地生產那第二個就是也要業者願意但是業者是傾向於說業者絕對願意業者現在就是一直在求我們沒有 業者是期待打掉全部打掉以後重新蓋
transcript.whisperx[181].start 5429.195
transcript.whisperx[181].end 5455.96
transcript.whisperx[181].text 那我認為你應該要打掉那個重蓋我們也是這樣想法因為你要知道這個30年前的一個那個產區跟30年後這整個產業其實已經不斷的升級了我想這也是賴委員您一直提到的那因為要全部打掉重新規劃的時候就要業者的期待的燃源的模式而不是我們自己想要蓋什麼就蓋什麼所以當然所以我們一直持續跟業者在溝通
transcript.whisperx[182].start 5457.06
transcript.whisperx[182].end 5470.828
transcript.whisperx[182].text 在這裡拜託兩位部長我們的政府事實上已經準備好了我要具體的這個時程上的一個要求我希望在一週內那個農業部跟經濟部到本席的辦公室一起來做這個專案的一個簡報一個月內我們到
transcript.whisperx[183].start 5473.59
transcript.whisperx[183].end 5495.063
transcript.whisperx[183].text 再一次我們到那個地方去我們到後壁去我們到蘭花園區裡頭去做產業的說明會那我們也希望三個月內就是說這一個專案推動的一個計畫書可以專案報告出來在這裡要拜託兩位部長那我們也希望就是說你們在做一個明確的任務跟資源上的一個分配
transcript.whisperx[184].start 5495.603
transcript.whisperx[184].end 5519.979
transcript.whisperx[184].text 你們三年的中期 長期 短期其實這個非常的重要蘭花產業有沒有辦法在這裡這一次的一個關稅裡頭存黃下來的話就是看兩位部長你們的一個投入的心力再一次拜託謝謝主席就依照我們賴會員委員的要求盡速來做出這個實成的一個
transcript.whisperx[185].start 5521.9
transcript.whisperx[185].end 5525.522
transcript.whisperx[185].text 回覆啦 OK 好 謝謝接下來請柯智恩委員謝謝主席 我們是不是請國防部長國防部顧部長 謝謝是 各位
transcript.whisperx[186].start 5546.963
transcript.whisperx[186].end 5567.476
transcript.whisperx[186].text 部長好 在我們進入預算之前我想我有個問題想先請教部長我想花蓮光復鄉的救災我們投入了三千個國軍的兵力是受到大家非常的認同但是我想請問一下對於投入了救災的這些兵力有沒有什麼獎勵的措施因為我們救災的公務員都可以補修跟請領加班費我們的國軍會有嗎
transcript.whisperx[187].start 5570.976
transcript.whisperx[187].end 5593.383
transcript.whisperx[187].text 我們國軍在這一次的我們在調動的時候就特別注意到他們長期如果長期投入會產生一種倦怠感所以我們七天做一次輪動也就是說七天完之後就整個另外跨駐安區所以還是會有這樣子的一個層面就對了然後回去的時候我們會給他一個非常具有榮譽的一個
transcript.whisperx[188].start 5594.403
transcript.whisperx[188].end 5614.08
transcript.whisperx[188].text 那这就牵涉到一个很现实的问题因为我们在10月10号开始我们公教人员都会有所谓的身心调试假但是这身心调试假当中我想国防部在七八月的时候也公布了这个放假的一个标准那里面就是会有一个全责主管不得拒绝这样的一个规定那我们也知道军中的文化其实跟其他是不太一样的
transcript.whisperx[189].start 5614.46
transcript.whisperx[189].end 5633.083
transcript.whisperx[189].text 他其实还是有他基本的一个任务跟基本的一个义务所以其实就会在放假的这个过程当中很怕如果规定不明确的话会造成长官上面的一个困惑所以说我想请问部长如果像是汉官演习的话那如果我们的士兵要请这个申请调试假会准假吗可以连请三天吗
transcript.whisperx[190].start 5634.402
transcript.whisperx[190].end 5652.127
transcript.whisperx[190].text 我想在這個演習期間因為視同作戰我想我們在國軍軍事官請假規則裡面是有增電的這個增音調製假每年要准給三日會在10月10號那部長我只問一下嘛以漢光演習為例的話可不可以准假
transcript.whisperx[191].start 5654.54
transcript.whisperx[191].end 5684.12
transcript.whisperx[191].text 在這個作戰的這個視同作戰的這個期間到底能不能這個准於這個身心調治下這個部分我想如果部長你必須要很明確的我聽你的口氣好像是還需要再來做個研議我還是強調一句話要有指示要非常的明確否則會造成很多人在往上級城堡的時候會造成一些的條規曖昧不明的時候會造成很多的困擾這是我今天提出來很主要的原因
transcript.whisperx[192].start 5684.48
transcript.whisperx[192].end 5698.916
transcript.whisperx[192].text 我的看法是應該是在演習之餘演習之餘所以在這個視同作戰狀況之下是不准降這是部長目前的一個層面我們回去再研議一下我的看法是
transcript.whisperx[193].start 5699.497
transcript.whisperx[193].end 5725.592
transcript.whisperx[193].text 明确最重要好不好然后部长接下来我们问到预算的部分当很多人问到说你这一次来的很多的特别预算同样在年度预算都有那为什么不编在年度预算当中我记得你的回应说是要提升战力希望能够快速完成没有错吧这是你曾经的一个回应但是我要指出来武器建军跟军事设施的整合是否有办法快速完成这是我要画上一个问号请先看一下
transcript.whisperx[194].start 5726.092
transcript.whisperx[194].end 5755.872
transcript.whisperx[194].text 像我们预算中心又曾经指出陆海空军在114年时候我们办理25个案的这个军事工程计划当中其实很多因为因素的缘故你这个整个变更整部分达到六成而且还有很多延期的我特别指出我们左营前面那一张投影片我们的左营左营二港口的扩建工程部长95年就已经开始建案而且编列预算了但是因为居民抗争还有加上原物料等等的因素
transcript.whisperx[195].start 5756.352
transcript.whisperx[195].end 5759.553
transcript.whisperx[195].text 你看总经费从290亿变成590亿而且你的施工的期限是从106变成121整整晚的15年的时间然后你再看看你这次的特别预算当中你所编列的下面一页
transcript.whisperx[196].start 5773.758
transcript.whisperx[196].end 5798.897
transcript.whisperx[196].text 你所编列的部分当中呢包括你这些条项当中你合计你要求他们每一年几乎都要花上上百亿但是呢你刚我刚所提的问题啊包括很多的财务料包括的延期包括的这个整个计划还要再修整整整当中怎么可能会是因为编的特别预算整个的时期就会比较有迅速而且可以保证如此的来完工
transcript.whisperx[197].start 5799.477
transcript.whisperx[197].end 5804.687
transcript.whisperx[197].text 不知道你可以promise你刚所编的这些密集的发包有办法在两年之内完成吗
transcript.whisperx[198].start 5805.693
transcript.whisperx[198].end 5828.679
transcript.whisperx[198].text 我們現在規劃是如此因為我們現在的相關的案子跟剛剛委員所提到的這個左營軍港的這個整個大型的興建案是不同的我們大概大部分都是整件的我知道是不同但是我只是提醒過去國防部就有這些的案子不管是修正延期還有包括原物料上漲所以說你告訴我你的理由變了這些東西之後還是一句話你有辦法保證兩年之內在密集發包當中都可以如期完工
transcript.whisperx[199].start 5835.021
transcript.whisperx[199].end 5844.233
transcript.whisperx[199].text 這才是我們真的是身為在野黨角色裡面應該是監督的有辦法嗎你所調列的這些這些錢不少有辦法放在這裡面就有辦法如期兩年之內
transcript.whisperx[200].start 5845.666
transcript.whisperx[200].end 5873.146
transcript.whisperx[200].text 我们规划是属于相关的这些整建的措施因为不需要像新建案这样子的一个所以两年之内有办法完成我们现在规划就是两年之内把它完成所以你现在规划万一如果没有办法完成是不是我们在审下一次的所谓特别预算的时候会把这样的一个政绩再拿出来然后要求因为你曾经说你们规划然后没有完成所以是否我们在下一次特别预算的时候还会有不同的一个考量这才是最重要的
transcript.whisperx[201].start 5873.792
transcript.whisperx[201].end 5884.697
transcript.whisperx[201].text 我們會努力的來確保我們短期這樣子的一個時間裡面集中這個資源快速來籌建的那我們就再以這一次的以這次部長所說的兩年來看看有沒有辦法在給予這些預算之後可以如期因為這些都是牽涉到你們未來我們國防預算裡面要如何審績效是一個我們考量的最大的一個指標好不好我們一定會努力來好 我們謝謝柯志恩委員的質詢謝謝接下來我們請萬美玲委員
transcript.whisperx[202].start 5910.645
transcript.whisperx[202].end 5917.033
transcript.whisperx[202].text 谢谢主席我们有请教育部郑英耀部长以及财政部庄岁云部长请庄部长委员好
transcript.whisperx[203].start 5930.526
transcript.whisperx[203].end 5942.089
transcript.whisperx[203].text 我先就叫我們教育部的政部長莊部長稍待部長 我們本期這次看你的特別預算教育部一共編列200億是這當中提升大專院校校務經營的補助100億高校跟產業合作20億不過部長要說明一下這兩筆跟過往的公務預算有什麼不同
transcript.whisperx[204].start 5952.432
transcript.whisperx[204].end 5970.097
transcript.whisperx[204].text 因為本席看到其實在這個公預算裡面我們也是就是編了將近990億的補助那其實也都涵蓋你現在特別預算裡面的項目所以能不能簡單的說一下不同在哪裡謝謝委員關心因為確實我們在產業上的一個快速發展我們過去的整個高教的經費攬財主要是在
transcript.whisperx[205].start 5972.518
transcript.whisperx[205].end 5981.183
transcript.whisperx[205].text 這一個留任的這一個激勵的一個機制包含玉山青年玉山青年跟玉山學者還有彈性新師我們這一次純粹是考慮到這個大學資資人力上有一個世代交替我們希望能夠有出片
transcript.whisperx[206].start 5989.867
transcript.whisperx[206].end 6019.207
transcript.whisperx[206].text 你所說的這一些不管是彈性薪資不管是玉山計畫本席可能都比你更清楚因為我們是經歷過過去從這個案子一開始以來到現在的那本席都還沒有跟你請教我們的玉山計畫這個彈性薪資我們到底執行率到什麼地方這以後還可以再來檢討但是我們今天要講的是說你今天這100億跟這個20億其實看起來有這個跌床架屋所以是怎麼使用的我們今天時間有限但我希望今天會後或等一下你請部裡面的同仁把詳細資料送來給我
transcript.whisperx[207].start 6020.027
transcript.whisperx[207].end 6035.465
transcript.whisperx[207].text 第三樣也就是高等教育人才永續的這個部分你有一個八十億嘛對不對但這八十億特別預算我們分三年來執行沒有錯嘛對不對但你卻要學校送來一個十年計畫我想請教一下這是什麼原因
transcript.whisperx[208].start 6035.905
transcript.whisperx[208].end 6062.15
transcript.whisperx[208].text 因為我們主要是希望透過新聘了一個人才以後他有出聘到五年的留任獎金 十年的留任獎金我們的目標就希望延攬一次部長 你的十年攬財計畫的內容我有詳讀在詳讀我現在要問的是說因為我們只有這個預算特別預算三年要執行嘛但是三年的預算今年不能執行那明年後年可能更四十億 四十億為什麼送來的計畫是十年的計畫
transcript.whisperx[209].start 6062.91
transcript.whisperx[209].end 6066.372
transcript.whisperx[209].text 那麼如果送來的計畫是十年計畫的話我們在這個錢撥給學校之後我們要怎麼去監督他怎麼知道確實他這個錢沒有多做他用那萬一執行不利的時候我們應該要怎麼做謝謝委員關心確實我們就是希望說給學校一個攬財的一個基金然後學校有配額款這個可以用十年因為我們目標是任何一個新聘老師他不能用
transcript.whisperx[210].start 6086.848
transcript.whisperx[210].end 6094.028
transcript.whisperx[210].text 我清楚這個計畫的內容我要問你的是說因為我們給了他預算以後長達十年你怎麼監督他
transcript.whisperx[211].start 6095.595
transcript.whisperx[211].end 6115.28
transcript.whisperx[211].text 我們當然會看學校提出來的一個機制他攬財的一個機制我們才會有一個經費上部長在這裡我想不為難你因為我看到我們這個200億事實上你提出的這個數字但是計畫的細項其實是沒有出來的所以其實明天要審查本席還是覺得你要在明天之前讓我們能夠詳細知道
transcript.whisperx[212].start 6117.14
transcript.whisperx[212].end 6140.062
transcript.whisperx[212].text 教育的预算我们全力支持但是必须要知道钱花到哪里去再来我们看到教育部从113年开始每年我们都编列8亿的预算来做这个弹性薪资就本席刚刚有讲那教育部给了我们一个表这个表上面写说我们刚才这个80亿高等教育人才永续发展的部分是揽财事实上里面也有流财
transcript.whisperx[213].start 6140.783
transcript.whisperx[213].end 6157.522
transcript.whisperx[213].text 那我們看到彈性薪資的這個部分你告訴我是流財但事實上裡面內容也有攬財所以其實這兩個是一樣的再者你的彈性薪資應該說你的這個81的部分你是要補助就是我們是要給這個在國內外初聘的專任教師
transcript.whisperx[214].start 6158.243
transcript.whisperx[214].end 6181.389
transcript.whisperx[214].text 但你有没有可能这会产生一种矛盾也就是说我们弹性薪资的部分我们补助这些人员他很有可能也会变成我们出品的专任教师我们现在是禁止国内的挖角你要听我讲完你一不小心你这个方案就变成一个挖财的计划了就变成一个挖角的计划了这是非常有可能做的这是我们不乐意看到的我们也会限制也会禁止
transcript.whisperx[215].start 6181.849
transcript.whisperx[215].end 6199.205
transcript.whisperx[215].text 对但是因为你的办法没有出来嘛那我们又看到你看我们公务预算里面也有这个所谓的这个弹性薪资预算计划还有很多预算我们都在看那我觉得我们这次又在特别预算里头我们去加了这个东西进来所以我要提醒你
transcript.whisperx[216].start 6201.346
transcript.whisperx[216].end 6222.972
transcript.whisperx[216].text 特別預算那他的特別支出在哪裡你的計畫的細節內容是什麼這個我覺得本席非常的在意全力支持教育部所有的預算計畫要給我這樣可以做到嗎可以好那謝謝那請回我想繼續請教我們的莊部長部長我們看到普發現金我看到這個行政的費用當中有一個1350萬是要辦理沒宣費就普發現金沒宣費對嗎
transcript.whisperx[217].start 6227.988
transcript.whisperx[217].end 6234.938
transcript.whisperx[217].text 是要做香港的宣導我們看到2023的時候我們普發現金6000當時我們的沒宣費就是1550萬只用掉819萬執行率只有52%那你現在又再加684萬我不理解這是為什麼
transcript.whisperx[218].start 6244.952
transcript.whisperx[218].end 6266.325
transcript.whisperx[218].text 我想我問題一次講完你再給我回所以我要知道你多的是什麼地方然後再來呢如果這是因應打仗那速發部在幹嘛那最後我想10月17是我們就是最後的day line我們有沒有可能在10月底之前普發現金把它發出來跟委員報告10月17是假設大院三讀通過還要送請總統公告那總統公告後我們一個月內一定會進行相關的發發作業有沒有機會10月底
transcript.whisperx[219].start 6274.142
transcript.whisperx[219].end 6291.981
transcript.whisperx[219].text 當然會在10月底之前我們會進行相關的發放周圍那還要看總統公告時間以及立法院授請總統公告的時間我剛剛的問題給我一個書面資料然後我們能夠的話盡快發放好嗎好的 謝謝好 請這個就書面回答了好 謝謝謝謝萬美玲委員接下來請岳元智委員
transcript.whisperx[220].start 6304.252
transcript.whisperx[220].end 6306.413
transcript.whisperx[220].text 麻煩請經濟部長跟財政部長好 請國務部長跟莊部長葉委員好
transcript.whisperx[221].start 6316.815
transcript.whisperx[221].end 6344.405
transcript.whisperx[221].text 部長好 我想請教一下因為10月1號的時候日本那邊有發一個函給我們說希望可以針對9項汽車零組件調降稅率這上面都有秀出來其中有幾項是調到2到8%然後有4項是免稅這個是日商2025台灣的白皮書我想請教一下日本官方有沒有向我們提出這樣的要求有沒有
transcript.whisperx[222].start 6346.105
transcript.whisperx[222].end 6370.756
transcript.whisperx[222].text 沒有明確的那經營部有收到日商這樣的建議然後再研議可能因應方式嗎我有看到這樣的報導只是說當初事實上之前因為這個只是汽車零組件嘛汽車零組件如果便宜進來的話我們台灣的這個組裝業者汽車的組裝業者或是我們國產的組裝業者成本可以降低
transcript.whisperx[223].start 6372.016
transcript.whisperx[223].end 6400.637
transcript.whisperx[223].text 如果可以回饋消費者所以意思就是說部長你是持一個比較正面態度那有兩件事情我先講完有兩件事情您可能要稍微思考也要回覆一下第一件事情就是其實以前在2019年的時候立法院就曾經討論過就討論過零組件關稅下降問題但是當時沒有做成決議是因為大家考量到希望製造商就您剛講的
transcript.whisperx[224].start 6401.537
transcript.whisperx[224].end 6418.576
transcript.whisperx[224].text 製造商會獲益他有沒有辦法回饋給員工或者消費者譬如說幫員工加薪或者是汽車整體的價格降低目前如果您是正面看待這個事的話你會考慮跟汽車業者去溝通嗎因為2019年那時候
transcript.whisperx[225].start 6421.075
transcript.whisperx[225].end 6449.425
transcript.whisperx[225].text 汽車業者沒有很明確的表達會回饋給消費者跟員工所以那個後來我們就沒有我知道 我是現在問說如果接下來如果日本提出這樣要求然後你也有正面的看待所以接下來會跟汽車廠商去談嗎我們會評估整個台灣的這個汽車業還有汽車領主業整個發展另外我們也會跟汽車業者去談這第一件事第二件事因為
transcript.whisperx[226].start 6450.598
transcript.whisperx[226].end 6462.572
transcript.whisperx[226].text 九項汽車零組件其實台灣也有人在生產所以如果關稅下降也會對他們造成影響這個衝擊你有評估嗎所以我們這個要一併評估我剛剛跟有人報告不能只是這個組裝廠來做評估而已那財政部態度呢
transcript.whisperx[227].start 6465.615
transcript.whisperx[227].end 6488.359
transcript.whisperx[227].text 因為上一次之前是有評估過如果這樣做的話我們的稅收會增加所以財政部態度呢對 是 如果委員所說之前有提過也就是剛剛講過這必須如果要降的話也要把相關的降稅的利益回饋給消費者同時對於產業的影響都要做整體的評估所以您的態度是一樣 我們跟經濟部可以一起合作好 謝謝那接下來請教育部長好 謝謝
transcript.whisperx[228].start 6494.605
transcript.whisperx[228].end 6496.068
transcript.whisperx[228].text 可以幫我時間暫停一下教育部長
transcript.whisperx[229].start 6506.021
transcript.whisperx[229].end 6527.054
transcript.whisperx[229].text 那個部長請教一下當然教育的預算我們也都支持但是我們還是想要釐清幾件問題第一個這次特別預算因為特別預算通常是因應比較特殊狀況才會編特別預算否則就在年度預算這一次特別預算通通是挹注在高校但是像國民教育也有很多任性的問題譬如說現在缺老師
transcript.whisperx[230].start 6528.095
transcript.whisperx[230].end 6549.152
transcript.whisperx[230].text 然後老師的薪水能不能增加或待遇 導師費 行政費各方面那為什麼你沒有編列特別預算在國教這塊呢跟我們報告第一個 國教那個部分事實上我們內部也有特別預算特別預算因為你這些特別預算全部依註在高教主要就是考慮到這個國際局勢裡面對高等教育的一些衝擊國際局勢會對各種教育有衝擊
transcript.whisperx[231].start 6558.604
transcript.whisperx[231].end 6581.461
transcript.whisperx[231].text 國教的一個部分我們已經內部會有一個不是啦為什麼沒有編特別預算在國教因為我們想要照標準嘛你說如果是國際情勢影響一定高教國教都有啊國家的一個整體的一個這個財政的一個結構我們當然會希望在整個政府的一個各部會的一個這一個團隊裡面我真的非常好奇我覺得如果要講任性的話國教其實
transcript.whisperx[232].start 6582.362
transcript.whisperx[232].end 6605.053
transcript.whisperx[232].text 現在問題也有一些啦委員所關心的我們國教我們從來沒有這個然後我針對一個部分跟你請教啦因為你這個特別預算裡面有一個是65億啊是直接補助給學校然後讓學校來運用嘛但是學校有兩個條件第一個三年不能漲學費第二個補助的金額裡面5%要用在低收入戶中低收入戶或者是
transcript.whisperx[233].start 6606.133
transcript.whisperx[233].end 6629.639
transcript.whisperx[233].text 因此次國際局勢影響而遭逢生活變故的學生我就請教一下細節要怎麼認定他是不是因為這次國際局勢影響而且遭逢生活變故我們訂定這樣一個補助辦法也跟大學段的校長都討論過他們會去會有主意的去第二個 低收入戶 中低收入戶平常就有補助了
transcript.whisperx[234].start 6630.819
transcript.whisperx[234].end 6637.322
transcript.whisperx[234].text 那請問一下這個是額外的還是他可以領兩份是額外的因為他可能衝擊到學校的治理好 謝謝足球哥再給我一分鐘30秒請內政部長謝謝委員關心請劉部長請30秒謝謝
transcript.whisperx[235].start 6662.244
transcript.whisperx[235].end 6684.499
transcript.whisperx[235].text 部長 因為外界對你有些質疑我就給你時間讓您說明一下因為有人在講說在9月20幾號有一個錄音檔裡面你有提到說有一個災民怎麼坐在牆上還是屋頂上看風景後來發現說有人說那個其實是他在聽您的指示在垂直避難這個是不是有點在指責災民的意思
transcript.whisperx[236].start 6684.759
transcript.whisperx[236].end 6694.726
transcript.whisperx[236].text 報告委員我的立場都一樣不管是在中央或在地方如果有這樣子的假造謠言的話我們就一律移送到地檢署整備我是說讓你來說所以這個是謠言請把全文都聽完我後續的只是說請很多人過來協助他趕快離開現場
transcript.whisperx[237].start 6702.482
transcript.whisperx[237].end 6720.42
transcript.whisperx[237].text 所以到底有沒有說你到底有沒有說我還是跟委員報告因為你所知道的也是片段的字句所以讓你完整說因為時間不夠因為主席已經站出來了你動不動就說送辦大家現在想說連質疑一下就要送辦所以我就說現在利用這個機會讓您跟大家說明清楚不是你的部分
transcript.whisperx[238].start 6720.92
transcript.whisperx[238].end 6746.461
transcript.whisperx[238].text 我現在說的是在網路上流傳是被片段剪接的那應該是怎麼樣那既然片段剪接我希望他們有全文如果能夠照燈是最好那因為我們現在時間有限沒有辦法全文照燈的話我就希望我們把我們在災害應變中心裡面的全文包括影像資訊全部移送給地檢署來偵辦因為這樣有第三者會讓你完整呈現嘛結果你也不敢完整呈現謝謝抱歉你講的是錯的OK 好
transcript.whisperx[239].start 6749.656
transcript.whisperx[239].end 6753.657
transcript.whisperx[239].text 好 謝謝燕姿委員部長請回現在請鄭正前委員
transcript.whisperx[240].start 6764.643
transcript.whisperx[240].end 6774.296
transcript.whisperx[240].text 謝謝主席我想請一下主席總署陳淑芝主席 請主席長財政部莊翠雲部長 莊部長經濟部龔明欣部長 龔部長還有我們勞動部陳明仁長賜謝謝
transcript.whisperx[241].start 6781.81
transcript.whisperx[241].end 6797.942
transcript.whisperx[241].text 還有次長首先我想先請教一下主席長一下就是10月17號是最快的時間普發現金一萬元這部分這個時間是10月17是最快的時間對不對財政部長請財政部長這邊回答
transcript.whisperx[242].start 6802.457
transcript.whisperx[242].end 6826.231
transcript.whisperx[242].text 10月我想大院三讀通過這個時間是由大院來做決定的對 其實我想就是立法院其實也希望說能夠把普發現金這個1萬元這部分盡量開始落實所以我們今天的整個議程走得非常的快召委其實也走得非常快預計今天明天要把這個部分能夠把它完成然後下禮拜送程序委員會然後下禮拜就可以送到我們的院會裡面
transcript.whisperx[243].start 6828.732
transcript.whisperx[243].end 6837.734
transcript.whisperx[243].text 那我想說因為針對這個10月17號這部分我想說部長這邊有提到說一個月內就可以把它給要把它執行出來對不對沒有錯就是10月17假設立法院三讀通過的話那送請總統公告那這個時間要盡快然後總統公告我們就立即開始啟動所有的相關的作業一個月內就可以開始發放嗎一個月以內可以做OK 那我想說全體的國人都非常的關心這個新的政策
transcript.whisperx[244].start 6857.498
transcript.whisperx[244].end 6884.184
transcript.whisperx[244].text 因為之前的時候其實有法師他特別想要說要搶救國庫然後提到說要為國家續命專款大家不要領這一萬元那也有些教授他也反應當時的卓院長他也表示說他要來思考一下是不是有一個拒營的選項那現在當然是沒有沒有這個拒營的選項對不對 部長沒有 沒有這個拒營選項那我想請教一下部長就是說我們現在的國家財政已經到需要民眾來搶救的地步了嗎
transcript.whisperx[245].start 6885.389
transcript.whisperx[245].end 6899.766
transcript.whisperx[245].text 跟委員報告當時這個民間團體有一個建議是認為是說讓國庫可以有更多的財政能力去做施政的更重要的優先順序是這樣的一個提議的
transcript.whisperx[246].start 6901.367
transcript.whisperx[246].end 6921.86
transcript.whisperx[246].text 所以說基本上我們看到這一次的特別預算當中的時候5500億裡面舉債的部分大概是1056億其他4000多億大概都是用原本的稅計剩餘所以表示這一次的特別預算裡面的時候其實舉債的比例其實不算高不算高的原因我們來看一下就下一個部分
transcript.whisperx[247].start 6923.202
transcript.whisperx[247].end 6929.98
transcript.whisperx[247].text 今年的時候我們整個行政院體系裡面有幾項特別預算在執行當中
transcript.whisperx[248].start 6932.717
transcript.whisperx[248].end 6957.911
transcript.whisperx[248].text 今年104年當然有您這邊所列的新式戰機還有這是為了國防強化國防海空戰力那當然還有總共有六項特別預算在執行對不對特別預算的執行那特別預算基本上第一個為了國防的強化國防理解那我們只在講說因為現在的時候我們總預算當中的時候負債不算高可是特別預算裡面負債是高的
transcript.whisperx[249].start 6958.311
transcript.whisperx[249].end 6983.107
transcript.whisperx[249].text 可是我們這次針對這個國際經濟情勢這邊的時候舉債的部分其實不算高我們看到今年在執行當中的其他的特別預算當中的時候呢舉債的部分比例都非常非常的高所以我想說在這邊的時候因為當我們在想說要搶救國庫然後當時在考慮要拒領選項這部分的時候我覺得它做很多的在做一些帶風向的一個宣傳啦
transcript.whisperx[250].start 6985.549
transcript.whisperx[250].end 7011.023
transcript.whisperx[250].text 我這邊最後問一個狀態如果說有很多民眾他不領這一萬塊我們最後面剩下的這筆錢到時候會怎麼處理如果民眾沒有領的話這個錢還是會在國庫本來就是在國庫裡的錢會回國庫嘛 對不對本來就在國庫裡那領的話就領出去沒有領的話就是在國庫不會再把它給挪用到其他的目前提出的是11項計畫當中不會所有的支出都必須按照預算
transcript.whisperx[251].start 7011.883
transcript.whisperx[251].end 7038.451
transcript.whisperx[251].text 理解所以如果說有很多民眾他們想自主性的響應這部分的時候基本上這東西就到時候會回國庫對不對好 謝部長我想說就是因為從台積電這邊的一個新的資料我想請教一下勞動部這邊因為目前整個傳產的產業當中的情況不是很好已經連續
transcript.whisperx[252].start 7041.298
transcript.whisperx[252].end 7060.277
transcript.whisperx[252].text 四個藍燈 已經連續四個藍燈這裡面所還包括我們高科技產業的部分高科技其實台灣還是好的可是整個景氣製造業其實是不好的情況的時候然後有很多的一個無薪假的一個情況請教一下次長一下我們目前無薪假的廠商跟人數有多少
transcript.whisperx[253].start 7061.068
transcript.whisperx[253].end 7086.66
transcript.whisperx[253].text 跟委員報告目前無薪假最近一起的統計大概有8500多人378家左右那其中受到關稅影響的大概有九成那我們其實在這一方面一方面是透過經濟部那一邊會有一些支持企業的方案那就勞動部而言我們是針對無薪假也就是減班休息他還是要付最低工資我們針對這部分協助勞工
transcript.whisperx[254].start 7086.84
transcript.whisperx[254].end 7104.913
transcript.whisperx[254].text OK 因為針對五星價的部分我們也希望在這一次尤其你剛才有特別提到說因為關稅的部分有很多很多的勞工都受到了影響我們希望這邊能夠好好去做那我最後一部分想請教一下經濟部因為我們看到這兩年的時候跟美國的一個貿易順差急序的一個拉伸
transcript.whisperx[255].start 7105.994
transcript.whisperx[255].end 7122.006
transcript.whisperx[255].text 那針對這部分的時候呢我們現在在關稅這問題當中的時候似乎因為跟美國的一個貿易順差變得很多我們也變成被美國很輕鬆的拿捏變成說一定要被脅迫的一個情況針對這個部分的時候我們經濟部有沒有什麼更具體的一個做法
transcript.whisperx[256].start 7122.601
transcript.whisperx[256].end 7142.581
transcript.whisperx[256].text 報告委員所以我們在這次的特別預算裡面特別編列100億元來針對傳統產業也好或中小微企業也好多元開拓市場這些市場包括了歐盟市場也好或是南向國家的市場或是其他的市場那我們可以除了有一些廠商他可以在海外設立一些據點行銷據點之外
transcript.whisperx[257].start 7144.503
transcript.whisperx[257].end 7166.213
transcript.whisperx[257].text OK 這個部分的時候我想說我們其實原本的時候跟大陸的一個貿易順差很高現在很明顯的往下盪所以我們希望說台灣在這部分的時候能夠更多元希望經濟部這邊能夠扮演更做積極的角色好 謝謝鄭振全委員OK 好 謝謝部長接下來我們請黃秀芳委員發言謝謝主席 我們請經濟部長
transcript.whisperx[258].start 7173.814
transcript.whisperx[258].end 7175.074
transcript.whisperx[258].text 好 國務部長再請黃委員好部長好 部長上個月您有親自到彰化的這個水五金業者那邊去做一個參訪是那這會中您有特別提到就是說因應這個關稅問題那有提到就是說
transcript.whisperx[259].start 7195.2
transcript.whisperx[259].end 7213.997
transcript.whisperx[259].text 能够协助业者比如说提升国际的曝光度政府会在国际商展成立一个台湾馆另外还有加速产业园区推动田园生产聚落特定区解决产房土地不足的问题
transcript.whisperx[260].start 7214.897
transcript.whisperx[260].end 7241.718
transcript.whisperx[260].text 還有AI人才的培訓部長 我想請教因為這一次的從四月份的關稅到目前為止其實彰化有很多的船產確實是受到影響我想請教就是說針對我們這些船產要怎麼樣讓它能夠繼續的營運下去因為我最近到一些
transcript.whisperx[261].start 7244.179
transcript.whisperx[261].end 7268.07
transcript.whisperx[261].text 水五金專區也好或者是在做腳踏車零件的其實他們受到的影響真的都非常的大我想請教就是說因為我們之前田園工廠的部分我們有收納管輔導金還有營運管理金 雙金地方收了這雙金之後其實實際用在輔導
transcript.whisperx[262].start 7269.451
transcript.whisperx[262].end 7278.913
transcript.whisperx[262].text 福島這些農地工廠或者是做補助的比例不到1%我們收了136億實際用在福島跟補助不到1成我想請教就是說因為現在目前確實這些傳產營運確實會碰到一些困難
transcript.whisperx[263].start 7293.937
transcript.whisperx[263].end 7302.609
transcript.whisperx[263].text 那有沒有可能就針對這雙金就是納管輔導金跟營運管理金可以先停收或者是減半
transcript.whisperx[264].start 7304.372
transcript.whisperx[264].end 7322.389
transcript.whisperx[264].text 報告委員因為這兩個金主要是地方政府他主要收的目的是說當這個田園園區開始實施的時候他要做一些公共建設公共的管購等等一些情況但是因為這個園區的抱邊現在
transcript.whisperx[265].start 7327.313
transcript.whisperx[265].end 7343.017
transcript.whisperx[265].text 內政部是講說他們會儘快儘快初步的趕快如果通過的話那就可以開始往下走那這樣來講的話這些基因它的用途就會很快的可以用在整個公共建設的部分那使得這個園區可以正常的一些發展
transcript.whisperx[266].start 7343.377
transcript.whisperx[266].end 7353.652
transcript.whisperx[266].text 那也許剛剛部長講的就是水五金專區的這個部分那其他一般散落在各地的農地工廠其實他們也是都有繳納管輔導金還有營運管理金
transcript.whisperx[267].start 7358.82
transcript.whisperx[267].end 7382.046
transcript.whisperx[267].text 那確實撇開這個水五金專區不講其他的這個部分確實傳產這部分真的受到蠻大的影響剛剛勞動部這邊也有特別提到就是在放無薪假的人也是越來越多那針對這部分其實也可以減輕這些業者的一個壓力我是不是可以請經濟部這邊可以針對這部分跟地方政府可以再做一個協調
transcript.whisperx[268].start 7383.386
transcript.whisperx[268].end 7404.589
transcript.whisperx[268].text 既然使用這個雙晶這個比例不到一成的話那是不是可以協助這些業者可以暫時也許可以減半或者是暫時先不要收一年兩年先不要收其實對這些業者來講其實是有一些幫助的所以我是不是可以請部長可以
transcript.whisperx[269].start 7405.59
transcript.whisperx[269].end 7430.241
transcript.whisperx[269].text 回去可以跟這些地方政府可以再做一個協調可以 我們來協調是不是有階段性的一些措施或做法可不可以給我一個時間因為我記得我在上個月上個月我已經有跟次長這邊有聯繫過那次長也有特別提到就是說會請會約地方政府來那我們下個月再回報委員看看處理的狀況
transcript.whisperx[270].start 7431.141
transcript.whisperx[270].end 7452.312
transcript.whisperx[270].text 好 我們希望就是說確實剛剛我看到經濟部的一個簡報確實也對這些業者有一些協助有一些幫助可是就是說這個也不是短時間內可以看到一個結果可是如果是針對我們的納管輔導金或營運管理金的話其實是可以對他們有一些幫助的是不是確實
transcript.whisperx[271].start 7454.773
transcript.whisperx[271].end 7480.08
transcript.whisperx[271].text 拜託我們部長這邊真的能夠來協助那也協助地方政府就是趕快協調那短時間內針對這些業者能夠有一些幫忙那另外就是說確實我們的這個關稅的這個議題從四月份那到一直到現在這個一些業者他們說他們的報價不知道不知道要怎麼報報價不知道要怎麼報
transcript.whisperx[272].start 7483.601
transcript.whisperx[272].end 7503.426
transcript.whisperx[272].text 就是說跟其他國家可能確實會有一些很競爭的一個關係所以我們也希望就是說當然我們的政府也很努力在談判那當然就是說希望能夠有一個好的結果能夠針對這個關稅能夠再有一個好的結果那最快的一個結果就是說經濟部能夠實際的這個協助這些業者能夠站穩腳步是
transcript.whisperx[273].start 7509.747
transcript.whisperx[273].end 7522.969
transcript.whisperx[273].text 好不好特別預算通過以後我們就會盡力的我們輔導團也要成立了那就會趕快來執行好 謝謝好 謝謝黃秀芳委員接下來請黃珊珊委員發言好 謝謝主席我想請衛福部理事長還有農業部陳部長好 陳部長 請
transcript.whisperx[274].start 7549.859
transcript.whisperx[274].end 7571.272
transcript.whisperx[274].text 委員好次長跟部長我想大家都非常關心關稅的衝擊但是我們的食品安全在這次的關稅談判裡面也是一個重要的事項中秋連假大家最關心的其實尤其北部的民眾最關心的是我們所謂的工業級雙氧水百威公司的黑心出廠
transcript.whisperx[275].start 7572.313
transcript.whisperx[275].end 7592.776
transcript.whisperx[275].text 然後大部分的大部分的民眾現在都只有看到新聞了那吃下肚的大概也來不及了所以現在的問題就在於說目前是調查局來做調查但是食安問題在台灣已經從以前到現在不但加嚴而且加重但是業者還是敢
transcript.whisperx[276].start 7593.797
transcript.whisperx[276].end 7604.235
transcript.whisperx[276].text 用這樣的方式來處理我想第一個就是問一下衛福部現在找到了相關的源頭了嗎還是知道了我們到底有多少東西被吃下肚了
transcript.whisperx[277].start 7605.846
transcript.whisperx[277].end 7624.106
transcript.whisperx[277].text 非常感謝委員對於這個問題的關心跟委員報告我們現在目前有掌握就是在屏東百威我們現在目前已經有查封查封現存但是留到多少在市面上已經被吃下肚了到底有多少
transcript.whisperx[278].start 7624.646
transcript.whisperx[278].end 7646.148
transcript.whisperx[278].text 包委我們現在這個部分我們現在目前還在清查還沒掌握對然後只抓到現有的但是他的帳冊這些其實都可以看得出來他的源頭多久之內可以有個相關的具體的數字包委我們現在兩個部分第一個就是今天部長他也已經我們現在先具體裁罰就是五千萬這是第一個市長現在的問題很嚴重是
transcript.whisperx[279].start 7648.13
transcript.whisperx[279].end 7677.231
transcript.whisperx[279].text 現在一出來是什麼台北寧夏夜市整個生意都毀了第二個阿中麵線每天多少賣多少的所謂的你知道嗎這件事情不釐清讓所有的市民人民感覺恐慌我覺得這件事情很嚴重所以你還不知道多少包委我們現在目前的封存產品是總共有12604公斤下架是2430代銷毀所以被吃下肚有多少
transcript.whisperx[280].start 7678.324
transcript.whisperx[280].end 7695.578
transcript.whisperx[280].text 包委員我們現在目前在清查當中在清查當中大概1萬公斤啦好啦重點是我想問一下農業部這個公司他在屏東的台旭公司的屠宰場裡面租了一個場地這件事情農業不知道嗎
transcript.whisperx[281].start 7697.321
transcript.whisperx[281].end 7713.983
transcript.whisperx[281].text 我們了解是所有的這些被查獲的內臟都是合格的都有經過正式的衛生圖案在他的場地裡面是合格的出來的不就不合格了那到底原因在哪裡今天台旭公司租給他他在這邊清洗然後沒有人知道是嗎
transcript.whisperx[282].start 7715.355
transcript.whisperx[282].end 7731.556
transcript.whisperx[282].text 農業部查了之後現場有沒有看到工業用的雙氧水警察官也有去看他帶隊去看的話所有的這些土體包括內臟都是有合格標章的所以他在外面亂洗還是在這裡洗不知道他在哪裡洗的
transcript.whisperx[283].start 7733.438
transcript.whisperx[283].end 7754.457
transcript.whisperx[283].text 他是不是在這個場地起的百威是一個食品公司不是在屠宰場裡面的好 他在外面 他在這邊租場地他所有的內臟他說來自於台旭公司然後他的販賣場所 製作場所他在你們的登錄平台裡面衛福部登錄平台裡面全部都是在屏東台旭公司的場所你們有看到他有其他的場所嗎
transcript.whisperx[284].start 7756.826
transcript.whisperx[284].end 7779.385
transcript.whisperx[284].text 沒有 不知道我想跟委員報告部長 我要說的是源頭衛福部叫做後面啦你們叫做源頭啦如果源頭都不知道的話他後面怎麼查都沒用今天他在台續公司發了一個新聞稿說跟他沒關係所以全台灣的人都不知道跟誰有關係農業部要去知道跟誰有關係啊
transcript.whisperx[285].start 7780.626
transcript.whisperx[285].end 7808.813
transcript.whisperx[285].text 部長這部分是不是可以短期內盡速調查清楚他到底在哪裡洗是不是在這裡洗在這裡洗台區公司就不能說他不知道我想我們會跟衛福部但是我要跟委員報告就是我們負責是屠宰檔 屠宰端那屠宰出來了以後他是進到食品端的部分雖然說他的場地是在屠宰檔租的但是不能說租的就是食品但是我們會跟衛福部一起我們跟衛福部一起我要說的是
transcript.whisperx[286].start 7809.713
transcript.whisperx[286].end 7831.769
transcript.whisperx[286].text 在屠宰以前就是你們管我們總要知道台灣今天有多少豬被屠宰有多少量可以做成所謂的後續的加工這些數量都不清楚然後又有一大堆進口的所以現在找不到多少數量這才是我的問題所以我要說的是如果屠宰廠是農業不管這件事情是不是要把源頭搞清楚
transcript.whisperx[287].start 7832.829
transcript.whisperx[287].end 7853.819
transcript.whisperx[287].text 數量金額跟到底是不是在這裡給他的數量我覺得這兩個部分要清楚再跟進口的部分把它理清楚否則將來就是我這邊給你都是正常的可是你賣出去的都是不正常那不是很奇怪嗎部長你了解我的意思嗎你查到都正常奇怪他賣出來不正常那是怎樣見鬼了嗎
transcript.whisperx[288].start 7854.966
transcript.whisperx[288].end 7881.011
transcript.whisperx[288].text 我希望農業部在這邊是不是也可以盡速的給我們包括立法委員都很關心這件事情能夠給社會一個交代 好嗎數量要查出來我想我還是要跟衛福部一起去處理這件事情我們會一起來處理這個事情但是不能說因為我查到都是正常的所以他其他事情我都不知道我只講說土體的部分因為進到食品工廠我們農業部是沒辦法進到食品工廠去查的
transcript.whisperx[289].start 7881.801
transcript.whisperx[289].end 7896.759
transcript.whisperx[289].text 所以這就是問題啊農業部要說的是我們要知道源頭管理可能比事後查核更重要好嗎 謝謝好 謝謝黃瑟琛委員好 接下來請林益勤委員發言
transcript.whisperx[290].start 7904.774
transcript.whisperx[290].end 7912.063
transcript.whisperx[290].text 謝主席有請經濟部工部長 海委會管主委還有勞動部陳次長勞動部陳次長 陳明仁陳次長好 陳次長另外一位好
transcript.whisperx[291].start 7919.434
transcript.whisperx[291].end 7937.528
transcript.whisperx[291].text 好 先請教經濟部長我想今天討論的是有關國家韌性我想一個有韌性的國家平時就讓各部會要發揮最佳的動能才會在緊急的狀況的時候應變不來可是我們卻看到在野黨多次刪除政府對台電撥補的預算嚴重傷害國家韌性
transcript.whisperx[292].start 7943.072
transcript.whisperx[292].end 7966.33
transcript.whisperx[292].text 我想台電大家都知道他不是一般的私人公司他是公用事業那平時承擔穩定電價強化電網韌性保障民生的責任遇上天災還要趕上第一線去搶修那這些公共服務並不會從天而降那都需要公共投資所以待會要請經濟部長一併說明就如果長期在野黨持續阻擋撥補台電的預算那經濟部你評估國家會受到哪些的衝擊
transcript.whisperx[293].start 7971.414
transcript.whisperx[293].end 7984.674
transcript.whisperx[293].text 那另外我們看到政府對公共資源的這個挹注是舉世皆然德國預計明年起還要投入65億歐元相當於台幣
transcript.whisperx[294].start 7987.517
transcript.whisperx[294].end 8000.726
transcript.whisperx[294].text 80億元來補貼輸電的費用來透過降低電力輸送成本那渴望讓家庭的平均電價會下降4%那這項補貼的計畫將由德國的四大輸電業者共同執行而且這筆錢也會用來投資電網基礎的建設那我們反觀台灣部長我們又有什麼樣的計畫來支持電網韌性和民生用電
transcript.whisperx[295].start 8016.508
transcript.whisperx[295].end 8037.169
transcript.whisperx[295].text 就像剛剛委員有提到的我們本來是希望因為當初台電在戊二戰爭開始的時候那時候成本大幅上升所以台電公司也吸收了這個差價累積起來有好幾千億我們希望透過政府可以撥補的狀況把它這個財政的狀況可以做改善
transcript.whisperx[296].start 8037.89
transcript.whisperx[296].end 8054.567
transcript.whisperx[296].text 那如果這個財政沒改善的話我們也希望說電網韌性的部分有些預算可以來加強那這一次本來提的這個韌性條例裡面我們事實上有編了200億但是後來也被刪掉了那如果在這樣情況之下就像委員講的我們就只能就既有的這個預算金額
transcript.whisperx[297].start 8057.389
transcript.whisperx[297].end 8084.405
transcript.whisperx[297].text 就是等於是很減緩的來做沒有辦法像快速的大規模來因應這些可能的災害比較大規模急速的來辦理變成這樣子所以我們也懇請大院如果可以讓台電的財務更健全的話那它在施作這個部分它的規模跟速度就可以加快跟加大好 謝謝部長那接下來本席想請教海委會就有關於海巡署有辦理這個
transcript.whisperx[298].start 8085.746
transcript.whisperx[298].end 8104.676
transcript.whisperx[298].text 海域徵收海域徵收及巡防籌借的計畫有關無人機應用的部分我們看到無人機無人艇的應用可說是進來了世界潮流不僅廣泛運用在軍事佈局當然也運用在海巡署的海岸巡防
transcript.whisperx[299].start 8105.717
transcript.whisperx[299].end 8125.765
transcript.whisperx[299].text 我想請教師說無人機的應用有幾個問題譬如說飛行的續航力或者是環境的適應最重要的是目前我國操作的人手不足的問題請問在這筆特別預算裡面有沒有把握來補足目前遇到的這些問題怎麼樣去運用這樣的經費
transcript.whisperx[300].start 8128.986
transcript.whisperx[300].end 8147.056
transcript.whisperx[300].text 各位委員報告我們第一批完成授訓考照已經在前兩天考完了所以人才的問題培訓我們都已經前瞻部署都已經超前部署考照前兩天就第一批考了我相信應該成績會不錯
transcript.whisperx[301].start 8149.898
transcript.whisperx[301].end 8178.197
transcript.whisperx[301].text 所以請委員放心我們有各種不同類型的無人機根據它的耐風性還有根據它的續航力還有它的距離都有不一樣的部署最重要的是希望說空中的量能一定要完成好 謝謝主委那我們再來請教勞動部有一個推動植物再設計服務計畫這個其實是為了減緩身心障礙者 工作上的障礙
transcript.whisperx[302].start 8179.017
transcript.whisperx[302].end 8185.962
transcript.whisperx[302].text 然後勞動部的推動植物再設計服務計畫它可以補助相關的輔具本席對於這項計畫的輔具費用的補助設計有點疑問
transcript.whisperx[303].start 8189.537
transcript.whisperx[303].end 8217.145
transcript.whisperx[303].text 我舉例來說以申請補助這個點字觸摸顯示器為例高階一點的這個點字觸摸顯示器超過差不多10萬塊那網路上查到有超過12萬那我們就以12萬元來看點字觸摸顯示器在身心障礙者輔具費用補助基準表裡面最高補助是7萬元那如果不是低收跟中低收那輔助費用
transcript.whisperx[304].start 8217.845
transcript.whisperx[304].end 8234.942
transcript.whisperx[304].text 最高補助是50%也就是三萬五千元那代表一般的民眾還要負擔八萬五千那依照勞動部這個推動植物再設計服務計畫第十一點的規定補助額度應先扣除身心障礙者之社政補助最高額
transcript.whisperx[305].start 8235.703
transcript.whisperx[305].end 8257.717
transcript.whisperx[305].text 等於是你購買12萬還要扣掉這個社政補助最高7萬那勞動部只補助5萬而且條文中我提到說再就其餘而據以評估也就是說扣掉社政的最高補助勞動部不一定會補滿因為時間的關係所以要請教說那像這樣子的話有沒有所謂改善的空間因為以日本為例的話日本是補助9成
transcript.whisperx[306].start 8258.578
transcript.whisperx[306].end 8285.88
transcript.whisperx[306].text 九成是政府負擔一成才是自行負擔所以如果按照這樣的話他三吃十我們又改善了空間嗎好 謝謝委員我們基本上應該這樣看聲音障礙朋友就業是一個重點我們認為在合理調整都是需要的政府機關能夠協助的部分一個重點就是輔具的提供對 輔具有關於相關輔具的一些規定或者資格條件這部分我們會回過頭再來仔細
transcript.whisperx[307].start 8287.261
transcript.whisperx[307].end 8296.805
transcript.whisperx[307].text 再檢討看看 你看日本就補助九成 也是輔具OK 謝謝次長 謝謝主席謝謝我們林委員接下來請李昆成委員發言謝謝主席 我們請海委會管主委請管主委
transcript.whisperx[308].start 8317.244
transcript.whisperx[308].end 8319.145
transcript.whisperx[308].text 主委慢慢來 沒關係林委員好主委好這次的特別預算在海委會的部分有295億6千多萬其中包含強化國土防衛能量279億其中籌補各式海空無人載具編列了40億9千多萬
transcript.whisperx[309].start 8345.693
transcript.whisperx[309].end 8367.547
transcript.whisperx[309].text 當初你們編的這個預算其實我相信我們都會支持因為的確我們這個海陸空要立體來支援我請問一下主委 這個特別預算這只有無人機嗎 有包含無人艇嗎預計籌補多少海空無人載具需求的類型為何
transcript.whisperx[310].start 8369.384
transcript.whisperx[310].end 8383.475
transcript.whisperx[310].text 跟委員報告我們在無人機的部分有分進程 中程 建載還有特勤所需總共加起來是451架你說這次特別預算要籌補的是不是450
transcript.whisperx[311].start 8385.076
transcript.whisperx[311].end 8406.31
transcript.whisperx[311].text 總共是451架我們分年來編列的話這一次的特別預算絕大部分都編在這一次的特別預算希望能夠一次來補足因為我們有非常急迫的需要就是希望這一次特別預算能夠補足451架就對了那這是無人機部分所以這是沒有無人艇的部分
transcript.whisperx[312].start 8406.83
transcript.whisperx[312].end 8430.115
transcript.whisperx[312].text 跟委員報告 其中有建載的部分我們這一次特別預算還不夠我們未來要補後面的尾數這樣子但是我們需要趕快的能夠上路另外無人艇的部分 我們目前的規劃是25艘目前是25艘水下也是在特別預算裡面
transcript.whisperx[313].start 8431.055
transcript.whisperx[313].end 8446.937
transcript.whisperx[313].text 那水下的部分我們大概實驗性的我們會先引進那數量比較是個位數我們先來引進所以水面25然後水下的是實驗型的是 但是我們也有水下聲納的部分是
transcript.whisperx[314].start 8447.558
transcript.whisperx[314].end 8450.001
transcript.whisperx[314].text 我們水下聲浪現在必須要加強部署譬如說我們有好幾次黑盒子是靠海巡的水下的聲浪第一時間很快的先去測掃以後能夠定位
transcript.whisperx[315].start 8463.017
transcript.whisperx[315].end 8478.988
transcript.whisperx[315].text 因為我看主委有去參觀這一個國防展你說要投入68億推無人載具可是我們看到預算是大概40幾億所以這個多出來的基本上不到68億因為這期間還有包括其他的親間徵在裡面
transcript.whisperx[316].start 8481.99
transcript.whisperx[316].end 8496.416
transcript.whisperx[316].text 對 這個68億有包含其他的譬如說我們的勤奸針的系統這個是立體嘛有水下 有水面無人艇然後還有無人機以外我們還有次世代的雷達還有紅外線還有環島的港艦等等那我了解那請教一下主委不過因為我們過去這個海巡署
transcript.whisperx[317].start 8502.359
transcript.whisperx[317].end 8527.211
transcript.whisperx[317].text 從107年到108年還有112年到116年都有兩項無人機的採購但是這個計畫好像執行力都有一點落差我舉最近的112年到116年的計畫因為無人機的引擎技術超越廠商能力所及所以沒有辦法執行這個案子然後你們在去年9月修正這個計畫
transcript.whisperx[318].start 8528.351
transcript.whisperx[318].end 8541.307
transcript.whisperx[318].text 所以等於這個計畫到目前為止都等於是沒有在執行跟委員報告海巡署是國防部以外中華民國政府最早使用無人機的我是說這個計畫國內的產業也是持續在發展預算通過給你們之後
transcript.whisperx[319].start 8546.813
transcript.whisperx[319].end 8561.537
transcript.whisperx[319].text 有沒有信心目前產業的成熟度已經相當的成熟目前我們的規劃都可以來達成買到我們所需要的所以現有的無人機體有符合現在的需求嗎還是還要再等
transcript.whisperx[320].start 8562.377
transcript.whisperx[320].end 8577.125
transcript.whisperx[320].text 現有的無人機我們需要再更升級對 那我說預算特別預算通過之後你們要買的是現有的已經有現貨就對了對已經有現貨就對了是技術上成熟的商品化了你們在執行上面的確有出現問題因為客製化客製化
transcript.whisperx[321].start 8583.868
transcript.whisperx[321].end 8595.357
transcript.whisperx[321].text 執行有問題的這個是因為我們客製化那現在沒有客製化就是了那廠商最後能力還不到那個是國內整體產業的問題那最後一點時間主委請我請一下顧部長最後一個問題你邊走我邊念烏克蘭總統俄羅斯基有點名台灣的零件用於俄軍的無人機跟飛彈有這件事情嗎
transcript.whisperx[322].start 8613.13
transcript.whisperx[322].end 8640.915
transcript.whisperx[322].text 我這邊沒有相關的訊息沒有相關的訊息那有去了解嗎因為這個是他們的總統哲倫斯基親自寫出來就是說台灣有這個零件用在這個俄國的無人機跟飛彈那你們有去了解嗎因為這個報導出來之後你們有去了解嗎我想有關於這些民間他們在相關的這些零組件的供應鏈上面我想是可能是相當的
transcript.whisperx[323].start 8643.649
transcript.whisperx[323].end 8665.776
transcript.whisperx[323].text 有一個不是那麼直接的一個管道那我們沒有辦法能夠排除但是我們也沒有辦法進一步來進行確認因為相關的這些都屬於民間的部分你要去確認因為就算是民間的你們也要去確認就像說台塑去買的這個俄羅斯的油一樣那現在如果民間的這些零件用在俄國的無人機的話
transcript.whisperx[324].start 8666.776
transcript.whisperx[324].end 8686.474
transcript.whisperx[324].text 我覺得這對台灣人的形象不好而且這個是指輪司機他指輪司機他直接點名因為民間部我想我們會跟經濟部一起來這個來調查清楚好不好要不要我們跟經濟部一起來來調查清楚那調查結果再跟本席來做說明再跟李坤城委員來做報告好不好好 謝謝李坤城委員接下來請鍾嘉斌委員
transcript.whisperx[325].start 8705.831
transcript.whisperx[325].end 8714.596
transcript.whisperx[325].text 主席在場的委員先進列席的政府經濟上首長官員會長工作夥伴媒體記者女士先生有請我們經濟部鞏部長請起經濟部鞏部長部長好 部長請教一下輝達NVIDIA是台灣公司還是美國公司
transcript.whisperx[326].start 8728.327
transcript.whisperx[326].end 8744.267
transcript.whisperx[326].text 輝達應該算是美國公司那請問如果NVIDIA來到台灣投資社國外總部是不是會掏空美國應該不會那你認為是不是各國包括政府都會全力爭取輝達NVIDIA到他的國家設立總部
transcript.whisperx[327].start 8745.904
transcript.whisperx[327].end 8774.245
transcript.whisperx[327].text 會應該會嘛每個國家每個政府都會這樣做嘛那如果台北市政府為了這件事情他去修法或修改契約你認為會構成圖利揮打嗎NVIDIA嗎這個就要法規上來判斷如果政府權力包括中央政府我們修法或修改契約爭取他來台灣設立總部這應該是國人所熱見的會有圖利揮打NVIDIA還是圖利台灣呢
transcript.whisperx[328].start 8774.825
transcript.whisperx[328].end 8795.393
transcript.whisperx[328].text 日前內政部劉部長有做說明如果說他們台北市變更了以後然後經過議會同意然後送到行政院來備檔只要經過合法的程序就不會有圖利的問題很好那請問經濟部你是否願意爭取包括像NVIDIA這樣的先進產業包括不限於輝達像這樣的公司來到台灣設廠投資當然
transcript.whisperx[329].start 8797.054
transcript.whisperx[329].end 8823.932
transcript.whisperx[329].text 事实上我们跟辉达已经有在合作的案子就是Aplus计划就是共同有一个研发计划正在执行当中所以他们在台湾也有设立了这个研发中心所以经济部是乐见其成也是有机会有去全力争取就对了好 我们来看一下那你怎么看待台湾的产业到美国投资如果美国的厂商到台湾投资不是掏空美国那台湾的产业到美国投资有人说是掏空台湾吗
transcript.whisperx[330].start 8825.747
transcript.whisperx[330].end 8848.133
transcript.whisperx[330].text 你是否同意包括我們施政榮先生說的話他說如果台灣產業到美國投資是擴張我們的能力把國力淹上美國去人財土地水電用當地的美國的本土的技術或資金建立起來他如果是這樣反而是我們競爭者但是我們過去就是全球布局你是否認同將台灣的國力擴張到包括美國這樣的世界布局
transcript.whisperx[331].start 8849
transcript.whisperx[331].end 8862.788
transcript.whisperx[331].text 當然 因為將來是一個AI競爭的一個社會或社會秩序所以你認同施政榮先生的這番話認同好 我往下看我們的政府院長說台灣模式投資美國什麼叫台灣模式
transcript.whisperx[332].start 8864.104
transcript.whisperx[332].end 8888.994
transcript.whisperx[332].text 是要企業自主規劃但是政府負責整合民間然後政府要提供金融信保機制然後台美之間的G2G政府對政府的模式讓產業聚落形成構成一個良好的投資環境你認為這是政府院長的台灣模式這是副院長說明的好 那經濟部有在落實嗎目前經濟部所在做的你認為台灣的產業聚落到美國需要哪些條件配合
transcript.whisperx[333].start 8890.089
transcript.whisperx[333].end 8918.784
transcript.whisperx[333].text 包括委員就是這個我們還是要尊重美國的在地協助水電要解決對不對行政程序土地要解決基礎設施還有簽證的法規是不是也要處理是那說這樣就夠了嗎這樣你說單純這樣還夠嗎就夠了嗎還不夠還不夠好我們看一看來所謂的經濟部是不是有個原管局是不是產業園區管理局過去在台灣這幾十年來創造了一個模式叫做什麼叫做單一窗口一戰四服對不對是
transcript.whisperx[334].start 8920.024
transcript.whisperx[334].end 8944.329
transcript.whisperx[334].text 經濟部很擅長 你看我們包括土地 水電行政程序還有基礎設施剛剛講過的簽證法規 金融信保包括環境勞工消防稅務還有補助研發跟法規通通都是一站式的服務單一窗口對不對是請問這樣的模式如果搬到美國去美國當地的法規會允許我們台灣這樣延伸嗎延伸我們的政府服務
transcript.whisperx[335].start 8945.511
transcript.whisperx[335].end 8973.289
transcript.whisperx[335].text 這個就是要我們跟美國政府來做對談很好 所以趕快做我們往下看所以我們來看一下輸出台灣經驗形成產業聚落我們企業出海我們要得到經濟部的支持我們可以在金融信保補助跟研發等等等但是相對的這些輔導措施涉及到當地的當地國政府的行政程序他對環境勞工消防稅務的法規是不是也要遵守當地的法尊
transcript.whisperx[336].start 8974.464
transcript.whisperx[336].end 8989.986
transcript.whisperx[336].text 是所以說這個輔導的部分我們台灣政府要輔導我們台灣的產業到其他國家形成產業聚落後面的輔導是不是很重要是好 那往下看那是不是經濟部你已經針對現有的原管局的單一窗口跟一站式的服務項目
transcript.whisperx[337].start 8990.507
transcript.whisperx[337].end 9014.222
transcript.whisperx[337].text 基於未來台灣產業要出海要到境外那麼有開始針對哪一個國家當地的法規盤點來探討我們台灣政府有沒有可能持續這種一戰式的服務到境外他國的境內我們的境外他國的境內去協助台灣的產業發展居落經濟部做好準備沒有
transcript.whisperx[338].start 9015.115
transcript.whisperx[338].end 9033.704
transcript.whisperx[338].text 我們事實上一直有在做這樣的準備至少對當然民間企業有TIMA在他們想要做這件事情那政府的部分已經有開始的主要是我們有一個這個服務中心已經開始啟動了好 你們的服務中心是有對海外境外的
transcript.whisperx[339].start 9035.306
transcript.whisperx[339].end 9059.409
transcript.whisperx[339].text 產業俱樂部進行服務了嗎就是說我們在捷克跟日本請針對現有經濟部的單一窗口一站式的服務就未來台灣產業到境外我們當地的法規是否允許我們提供這樣的支持跟輔導原理方案一個月提出說明報告可以嗎好的好 謝謝好 謝謝我們中間嘉賓委員接下來我們請林思敏召委
transcript.whisperx[340].start 9062.254
transcript.whisperx[340].end 9076.664
transcript.whisperx[340].text 林思敏召委質詢結束之後換任一個李燕秀委員李燕秀委員質詢完之後我們就休息十分鐘好 請好 謝謝主席我們請經濟部龔部長還有衛福部的李次長
transcript.whisperx[341].start 9078.867
transcript.whisperx[341].end 9106.847
transcript.whisperx[341].text 好 我們請鞏部長還有呂次長召委好部長我想我接續鍾嘉斌委員的質詢我想今年四月美國宣布對等關稅的時候我們全台灣從工廠的老闆到小攤販大家都在擔心大家怕物價漲 怕訂單掉怕生活更難過當時朝野都在喊政府要拿出辦法讓人民撐得下去日子過得下去
transcript.whisperx[342].start 9107.808
transcript.whisperx[342].end 9132.734
transcript.whisperx[342].text 那麼行政院提出就提出韌性特別預算金額從4100億增加到我們現在的5700億聽起來增加很多但是我們看內容經濟部只有編列460億佔比大概就是大概佔8%那我們看到國防海防的安全韌性預算編列將近1500億佔比大概27%
transcript.whisperx[343].start 9137.631
transcript.whisperx[343].end 9144.309
transcript.whisperx[343].text 所以本席想要請問部長這筆錢不是說要幫助企業嗎要顧民生嗎
transcript.whisperx[344].start 9145.441
transcript.whisperx[344].end 9166.355
transcript.whisperx[344].text 但是這樣的一個預算的編列要讓人民怎麼感受到我們民生經濟的韌性我們老百姓只看到菜價一直在漲 店價一直在漲物價在漲 韌性在哪裡所以如此對於經濟上對於產業的紓困的規模是否會過小
transcript.whisperx[345].start 9167.876
transcript.whisperx[345].end 9177.059
transcript.whisperx[345].text 對於美國貿易衝擊的力道我們的強化是不是會不足所以尤其我們現在面對232條款的以及20%疊加關稅的談判現在正在進行中
transcript.whisperx[346].start 9183.781
transcript.whisperx[346].end 9194.467
transcript.whisperx[346].text 所以產業界面對未來的一個困境仍然是在未定之數政府此次編列5500億的特別預算經濟部的預算規模僅佔8%是否顯然低估了關稅的風險與衝擊
transcript.whisperx[347].start 9203.999
transcript.whisperx[347].end 9228.668
transcript.whisperx[347].text 部長請簡單回答我們當初有做一個估算如果是單純的關稅問題來講的話那時候估的是32%公佈以後我們是用這樣的基礎來做編列當然後面的談判過程當中也有可能有滾動式的變化所以為什麼我們保留了200億可以再做增減至於就是剛剛提到的其他部分因為
transcript.whisperx[348].start 9231.089
transcript.whisperx[348].end 9245.955
transcript.whisperx[348].text 國際情勢不單單只是關稅而已還包括地緣政治還有其他的情勢的關係所以為什麼要提升會有其他的這個項目在這裡面就我了解是這樣部長 你當然回答這樣我想我比較關心的是新竹的問題
transcript.whisperx[349].start 9247.256
transcript.whisperx[349].end 9264.946
transcript.whisperx[349].text 我想部長我來自大新竹大新竹是科技的重鎮新竹的科學園區我們讓無數家庭靠著工程師這樣的一個工作有一個安穩的生活但是我們最近聽說政府要協助美國要在他的本土
transcript.whisperx[350].start 9265.626
transcript.whisperx[350].end 9287.106
transcript.whisperx[350].text 建類台灣科學園區剛才宗嘉兵委員也講不管是法規面的問題整個園區服務的一個問題牽涉的面非常的廣所以本席真的很擔心尤其我們賴清澤總統在日前接受美國保守派名嘴賽斯頓的專訪他表示說這個
transcript.whisperx[351].start 9291.07
transcript.whisperx[351].end 9306.889
transcript.whisperx[351].text 政府支持台積電去美日德投資也樂意與美國一起努力讓美國再次偉大所以我要問部長讓美國再次偉大我們台灣到底要付出多少代價難道不應該是以台灣的利益為優先嗎
transcript.whisperx[352].start 9308.03
transcript.whisperx[352].end 9321.787
transcript.whisperx[352].text 當然以台灣利益為先大委員新竹的園區是全世界的典範我們現在一直在擴大新竹的聚落的一個行程現在只是擔心它的地跟水電不足而已如果夠的話事實上我們會擴大它的
transcript.whisperx[353].start 9323.729
transcript.whisperx[353].end 9351.778
transcript.whisperx[353].text 我想部長 水 電 土 地我自己居住在那邊我非常知道目前來講都沒有問題寶山第三水庫甚至也在規劃興建當中據我所了解所以水的問題都沒有問題當然電可能這部分可能要再加強土地當然我們科學園區三期我聽說好像明年也會有一個著落所以土地也會釋放出來所以我擔心的就是我剛才一直提的
transcript.whisperx[354].start 9352.538
transcript.whisperx[354].end 9369.041
transcript.whisperx[354].text 如果我們要在美國建類科學園區啊這樣會不會肥了美國瘦了台灣啊不會是不是我們會把台積電送到美國現在連整個科學園區也要一起送過去啊不會送過去會不會是這個問題啊是把我們的能量的延伸
transcript.whisperx[355].start 9370.652
transcript.whisperx[355].end 9387.088
transcript.whisperx[355].text 所以我們的力量我們地主台灣台灣的力量會更大今天你在這邊回答說能量的延伸但是我們還是很多產業界大家非常的擔心我們一直說要守護矽頓如果說在美國本土建造類台灣科學園區
transcript.whisperx[356].start 9388.989
transcript.whisperx[356].end 9405.918
transcript.whisperx[356].text 這個是否會造成我們整個產業外移以及人才的流失這就好像NVIDIA為什麼要在台灣設立它的研發中心或總部就是因為它來這邊設立以後對NVIDIA是更好我想我的結論我希望我們政府面對美國的談判
transcript.whisperx[357].start 9406.798
transcript.whisperx[357].end 9431.815
transcript.whisperx[357].text 我們不是只有配合而已我們要有自己的底線要確保耕留台灣確保產業留在台灣就業留在台灣實力留在台灣人民最擔心的不是僅有跟台美半導體的合作關係而是我們整個護國神山是不是會被整群搬走所以我想政府一定要考量以台灣利益為最優先好 以上 謝謝
transcript.whisperx[358].start 9435.197
transcript.whisperx[358].end 9438.441
transcript.whisperx[358].text 好 謝謝林思明 趙偉接下來我們請李燕秀委員
transcript.whisperx[359].start 9445.441
transcript.whisperx[359].end 9471.251
transcript.whisperx[359].text 好謝謝主席因為今天的時間非常短但是特別預算對國家來說每個項目都非常的重要除了四大主軸十一大措施其實我們看到很多項目其實平常在各部會在總預算項目上其實我們都可以看得到那我就先回到最後我的訴求第一個我希望對於特別預算的部分我請主席長跟部長請主席長
transcript.whisperx[360].start 9476.696
transcript.whisperx[360].end 9499.559
transcript.whisperx[360].text 還有我覺得過去大家外界都對於對於特別預算是空白支票授權變成常態化大家有很多不同的聲音所以我覺得為了對於我們特別預算的重視我希望未來對於財政影響的更完整的評估報告包括必須要揭露未來對於年度預算普通的衝擊
transcript.whisperx[361].start 9500.62
transcript.whisperx[361].end 9527.108
transcript.whisperx[361].text 我覺得更應該要進一步的說明這是第一點我的訴求第二點我覺得針對特別預算的執行報告成果包括它的效益影響評估也應該納入審計部的定期的審查這是第二點我的建議第三點過去這幾年我們都非常喜歡行政院一個公開平台公民機制大家一起來參與公開透明所以每一項預算都很重要
transcript.whisperx[362].start 9528.708
transcript.whisperx[362].end 9556.766
transcript.whisperx[362].text 但是到底編列在總預算裡面或者是應該編列在特別預算裡面大家各自有不同的立場跟聲音所以未來如何引進第三方的審查包括公民監督的報告制度公開透明是長期我們行政院過去民進黨執政這十年以來常在提的所以未來如何引進公民參與的機制這四大主軸十一項
transcript.whisperx[363].start 9558.067
transcript.whisperx[363].end 9572.001
transcript.whisperx[363].text 在我們行政院的平台在主計部都看得到我希望主計長在接下來報告朝野協商針對這幾個問題有更具體的說明好 謝謝主計長那我先回到我今天質詢的主軸我要問財政部部長
transcript.whisperx[364].start 9573.635
transcript.whisperx[364].end 9593.545
transcript.whisperx[364].text 主席長你可以回座謝謝 部長委員好你好 我們這一次普發現金的部分不只是平常媒體在幫你宣傳還不用花錢我們所有的明代都在幫你宣傳我也關注到我們這一次編列的包括普發現金的媒體的宣傳費達到1350萬
transcript.whisperx[365].start 9596.767
transcript.whisperx[365].end 9600.71
transcript.whisperx[365].text 但是過去我們並不是第一次補發現金過去馬英九任內 蔡總統任內我們都有補發現金過去我們今年剪裂過去我們編列到1550萬這一次剪裂了200萬但是我們看整體預算執行的效果
transcript.whisperx[366].start 9615.162
transcript.whisperx[366].end 9619.105
transcript.whisperx[366].text 過去編列1550萬我們整理預算執行也達到99.69%那花的預算金額其實我們花了預算專節我們花了819萬就已經達到了宣傳的效果那因為我今天時間有限我就希望請問部長
transcript.whisperx[367].start 9638.838
transcript.whisperx[367].end 9644.123
transcript.whisperx[367].text 過去花了800多萬尊潔我們已經達到99.69%的效果你覺得我們花到1350萬你預計達到的成果是什麼有什麼不一樣你宣傳的管道媒體的效果跟過去有什麼不一樣為什麼要花那麼多的錢我今天為什麼要舉這個例子出來
transcript.whisperx[368].start 9660.336
transcript.whisperx[368].end 9667.878
transcript.whisperx[368].text 我覺得預算應該尊潔使用你可以告訴我做法有什麼不一樣管道有什麼不一樣預計達到成果是百分之百嗎跟委員報告對於這個普發現金這樣的一個媒體宣導我們認為應該要更作為加強那當然您就說國人都很關心大家都知道但是各種領取的方式我們還是要做詳細的解說我沒有說不給你
transcript.whisperx[369].start 9686.983
transcript.whisperx[369].end 9708.96
transcript.whisperx[369].text 我是說過去花800多萬可以達到99.69%的效果多元的管道一樣都一樣在做同樣的宣傳你為什麼一定要花到1350萬跟委員報告還有這一次對於防炸的部分就是說我們避免民眾被炸我們各部會現在都有編列相關的預算在做防炸
transcript.whisperx[370].start 9709.6
transcript.whisperx[370].end 9720.103
transcript.whisperx[370].text 每一個政務的推動應該都在各政務列管底下做有不同的受眾我們要特別注意比如說看手機的我們的防災本來就是不同的受眾都要宣傳除了領取的方式也要做宣傳還有各個時間點我只是舉例提出這件事情事實上我覺得應該達到尊爵的效果
transcript.whisperx[371].start 9731.127
transcript.whisperx[371].end 9749.621
transcript.whisperx[371].text 當然我們為尊潔然後也是我們在整合作的效果在如果是這樣我們每編列一筆政務預算或者跟民眾有關的我們是不是都要在另外的編列一筆預算來做防詐跨部會的防詐這是我要提醒你的地方因為只剩下22秒我請教育部部長時間先暫停一下好 我們請教育部長鄭部長
transcript.whisperx[372].start 9774.301
transcript.whisperx[372].end 9792.811
transcript.whisperx[372].text 部長我只要你看一個表格就好是你知道哪一個表格有一個表格預算哪一筆是特別預算哪一筆是115年度的總預算你看那個表格左邊的表格還是右邊的表格你不要打pass給他你問一下我問一下部長左邊左邊是什麼
transcript.whisperx[373].start 9798.291
transcript.whisperx[373].end 9818.161
transcript.whisperx[373].text 又提升大專校院校務治理支持高教育產業合作共培人才部長你覺得這符合特別預算編列的精神嗎我們看一下特別預算編列四大精神是什麼我想主計長非常清楚災害應變 國防需求 經濟景氣變動重大事故變動
transcript.whisperx[374].start 9821.124
transcript.whisperx[374].end 9837.709
transcript.whisperx[374].text 我覺得每一項預算都很重要但是到底應該放在總預算來編或追加預算人才培育我支持但是可以放在追加預算跟委員報告日本因為這一次的國際集市他們編了一千億用來延攬人才部長
transcript.whisperx[375].start 9838.909
transcript.whisperx[375].end 9856.838
transcript.whisperx[375].text 我沒有否定今年應該編但是你可以用追加預算來編因為我認為這項預算不符合特別預算編列的精神在我沒有否定喔不要最後去外面放話說我否定我沒有否定但是我認為應該用追加預算來編應該追加預算來編而不應該放在特別預算讓特別預算的編列服用濫用以上是我的質詢 謝謝總責 謝謝召委
transcript.whisperx[376].start 9867.226
transcript.whisperx[376].end 9872.101
transcript.whisperx[376].text 謝謝聯繫委員我們謝謝所有的各位部會首長那我們休息十分鐘
transcript.whisperx[377].start 10482.418
transcript.whisperx[377].end 10510.695
transcript.whisperx[377].text 好我們繼續開會請大家保持安靜請就座好我們接下來請張宏祿委員發言好請我請財政部長好請財政部那個財政部莊部長
transcript.whisperx[378].start 10521.277
transcript.whisperx[378].end 10532.148
transcript.whisperx[378].text 委員好部長我們今天審的這個特別預算裡面有一個是普發現金一萬塊的是不是是 是的我想說我再請教妳 妳不回答沒有 因為那個聲音實在不太容易聽得清楚然後
transcript.whisperx[379].start 10546.673
transcript.whisperx[379].end 10563.663
transcript.whisperx[379].text 我為什麼要特別請教你我看到你們裡面有編了一筆預算是在宣傳然後也有防詐騙的這個部分那這個部分你們有沒有跟內政部警政署有沒有互相溝通這筆錢要怎麼花
transcript.whisperx[380].start 10566.557
transcript.whisperx[380].end 10581.738
transcript.whisperx[380].text 委員報告對於防詐這一塊在我們的工作小組裡面有一個分組就打擊詐欺這一個組而且內政部他也是次長是那個小組的小組長那我們跟內政部當然也跟警政署甚至檢調機關
transcript.whisperx[381].start 10583.019
transcript.whisperx[381].end 10604.97
transcript.whisperx[381].text 以及速發部都有合作我們成立一個專案小組然後24小時會監測相關的網站那對於有關logo或類似的像用的很接近的都隨時會抓到然後就去封他的網這個部分也會隨時告訴民眾說有這種情形不要被受騙上當還有其他的一個方式都有在做
transcript.whisperx[382].start 10606.24
transcript.whisperx[382].end 10620.009
transcript.whisperx[382].text 可是其實現在新聞媒體報導也有很多這個詐騙的手段已經出現了那你們如果說像剛剛你們說的你們是有多少成效了部分內政部那邊都有詳細的數據內政部呢內政部劉部長
transcript.whisperx[383].start 10643.555
transcript.whisperx[383].end 10665.953
transcript.whisperx[383].text 是謝謝那個委員的指教其實就這次普發現金裡面在我們刑事局已經有下架好幾個社群網站而且陸陸續續在增加當中也就是說這次在我們還沒有普發現金之前的這個防詐的部分我們包括刑事局還有各地的警政機關都已經開始做大量的宣傳
transcript.whisperx[384].start 10667.97
transcript.whisperx[384].end 10694.937
transcript.whisperx[384].text 我今天要特別要講這個普發獻金其實我全國人都知道但年輕的人也都知道大概比較不會被受騙針對比如說65歲 70歲以上的這些年長者我必須要說他們連電視也都不看的
transcript.whisperx[385].start 10696.501
transcript.whisperx[385].end 10714.451
transcript.whisperx[385].text 他們每天都坐在大樹下這邊聊天而已這一種其實我認為這個受騙機率最高謝謝委員的指教我們這個可能會在宮廟美容院 美髮院或是大樹下我們會做紅布條然後字要越大越好因為老人家視力不好
transcript.whisperx[386].start 10715.271
transcript.whisperx[386].end 10728.758
transcript.whisperx[386].text 所以我們要有165的反詐騙盡量把它口語化因為去年我們一共有五萬條紅布條放在宮廟裡面效果很不錯所以委員如果可以提供我們適當地點的話我們會針對比較有可能受到詐騙集團來做這些詐騙的話會做比較好的口語化的宣傳
transcript.whisperx[387].start 10738.999
transcript.whisperx[387].end 10755.844
transcript.whisperx[387].text 做紅布條也不反對但有的老人家眼睛就霧霧的你再怎麼大他也看不到他也看不懂我今天為什麼要特別問莊部長錢是編在你們這邊吧編在我們這邊那你知道這一些年長者他們的資訊來源大概都是哪裡
transcript.whisperx[388].start 10767.14
transcript.whisperx[388].end 10783.131
transcript.whisperx[388].text 我們知道我們所以在電台也有做拖播在一些小的地區性的電台因為很多民眾喜歡就是老人家喜歡聽收音機這也是一個管道還有電視還有相關的一些車站我們也都會用影片的方式來做播放我覺得啦
transcript.whisperx[389].start 10784.403
transcript.whisperx[389].end 10798.348
transcript.whisperx[389].text 地方性的那種就像這個部長你不要說人家小電台地區性的電台他們常常聽的就是這些也不要再去說什麼防詐騙或什麼
transcript.whisperx[390].start 10800.529
transcript.whisperx[390].end 10804.951
transcript.whisperx[390].text 就直接20秒或什麼的跟他講這領一萬塊現金政府怎麼給你領你不用任何其他人來跟你講都不要相信我覺得最直接這樣就可以了這個部分你們也可以問警政署我覺得錢要花在對的地方謝謝委員的提示 謝謝我們會這樣做我們地區電台也會做拖播
transcript.whisperx[391].start 10826.667
transcript.whisperx[391].end 10829.49
transcript.whisperx[391].text 好 謝謝張宏祿委員接下來請賴銳龍委員發言 謝謝謝主席請財政部的莊部長跟經濟部的拱部長拱部長還有莊部長有請
transcript.whisperx[392].start 10850.056
transcript.whisperx[392].end 10875.075
transcript.whisperx[392].text 先請到兩位部長其實面對國際的變局強化我們相關的韌性包括我們經濟的基礎等等這個我認為是我們應該大力支持我想這個預算全力支持那也希望我們妥善的來執行達到一個好的成效不管是在面對國際的情勢或者是我們國家的一些安全等等這些工作
transcript.whisperx[393].start 10876.377
transcript.whisperx[393].end 10897.638
transcript.whisperx[393].text 但是裡面其實有牽涉到幾些面向首先我第一個要問一下經濟部長他這個關稅的衝擊其實對產產來說有相當大的一個影響特別是高雄在金屬扣件的部分有相當大的一個影響的部分我知道部長有下去跟這些扣金業者有溝通過了部長有沒有什麼樣一些方案可以來協助業者的部分
transcript.whisperx[394].start 10898.6
transcript.whisperx[394].end 10917.683
transcript.whisperx[394].text 我想就是我们现在整个预算的分布有三大部分一个是金融上的协助金融上的协助大概我们再次强调宇天是不会收场可以展延有金融的支持金融支持第二个是转型升级上的支持
transcript.whisperx[395].start 10918.624
transcript.whisperx[395].end 10941.716
transcript.whisperx[395].text 轉型它的資質我們會有輔導團下去看到底需要怎麼做轉型AI導入怎麼導入讓它升級轉型那第三個就是拓展多元市場他們在海外參展我們會給予補助跟甚至於設置台灣館給他們協助但是那個扣件它還有另外的就是扣件如果他們可以在特殊領域獲得認證的話
transcript.whisperx[396].start 10943.217
transcript.whisperx[396].end 10969.76
transcript.whisperx[396].text 事實上它價格是非常好的比如說它專業用在汽車上或航太上或特殊用途上那我想這個是比較特殊的那這個部分我們會看看輔導團也會協助他們強化這個可以讓他們可以我希望部長要加強這個力道好不好特別是中南部的中小企業特別是扣建產業在這一塊受到相當大的一些影響我希望能夠整個部長能夠加重這一塊的力道
transcript.whisperx[397].start 10970.541
transcript.whisperx[397].end 10988.343
transcript.whisperx[397].text 特別是在整個裡面我們有一些知識產業的預算我也希望能夠有效的用在這些刀口上給這些扣薪業者 中小企業給他們更多的支持因為他們影響到很多的一些家庭也影響到很多的一些整個南部的企業的發展我希望部長再加強這樣的力道是 會
transcript.whisperx[398].start 10989.364
transcript.whisperx[398].end 11018.357
transcript.whisperx[398].text 那接下來我也請教一下這個研發的比例這個部分其實我認為都要持續增加特別是在傳產的這個部分所以我也希望這一塊部長在未來能夠持續的加重就是說我們現在當然不管是從半導體產業或其他的甚至AI產業我們都努力在但是對於傳統產業對於這些基礎產業其實它是國家的很重要的一些產業但是他們的研發其實我認為還是要持續的加重我也希望
transcript.whisperx[399].start 11019.538
transcript.whisperx[399].end 11031.627
transcript.whisperx[399].text 經濟部 政府這邊能夠持續有更多的一些政策手段來協助他們的研發的升級讓他們未來更具有競爭力這部長要不要講一下對 因為所以我們會已經開始組這個輔導團這個輔導團是產官學院所組成的
transcript.whisperx[400].start 11035.029
transcript.whisperx[400].end 11054.058
transcript.whisperx[400].text 那會下到這個企業端去看看他剛剛提到的他研發要走哪一個方向AI導入要怎麼導入不是啊我希望有一些具體的方案出來了好不好更具體的這個會後再提供給我了好不好完整的一些具體方案來協助中小企業協助傳統產業的部分的升級的部分好不好
transcript.whisperx[401].start 11055.038
transcript.whisperx[401].end 11083.284
transcript.whisperx[401].text 接下來我問一下輝達在台北的這個部分其實高雄也努力在爭取高雄包括亞灣的智慧科技創新園區包括輝達AMD也都在高雄有投資了高雄其實是很好的一個地點當然輝達有他的一些考量部長有沒有機會未來如果確實不一定在台北能夠的話高雄是一個適合地點有沒有可能用政府的力量協助這個業界有機會到高雄來設置它這個總部
transcript.whisperx[402].start 11084.814
transcript.whisperx[402].end 11105.353
transcript.whisperx[402].text 我想輝達當然是有他自己的考量現在他當然現在還在關心的就是北市科這塊地但是據我們了解輝達也跟我們表示說他也不排除其他的地方不排除其他地方也不排除高雄但是總是
transcript.whisperx[403].start 11106.854
transcript.whisperx[403].end 11119.14
transcript.whisperx[403].text 到台灣來設立總部也好研發中心也好不會只有NVIDIA一家而已還有其他的很多很多的一些企業那我們都歡迎也希望到部長高雄有沒有機會爭取到輝達的總部在高雄進駐
transcript.whisperx[404].start 11120.554
transcript.whisperx[404].end 11140.033
transcript.whisperx[404].text 這個可能要NVIDIA對 我意思是說我還是希望政府能夠在均衡發展上面以前的時候在這些高雄其實是不太有機會但這幾年其實惠達AMD也在高雄陸續有一些投資了AI產業也在高雄陸續投資我們也希望政府有時候加一些力道
transcript.whisperx[405].start 11140.794
transcript.whisperx[405].end 11162.181
transcript.whisperx[405].text 不是只有台北才是唯一的選擇其實高雄在這方面也做了很多不管是人力 土地或者是相關的水電都做好了充足的準備的時候我們認為有時候適度的跟業者溝通往高雄去移動其實是一個很好的選擇區域均衡發展很好的選擇現在已經是進行式的最先進的半導體的製程已經到高雄去了
transcript.whisperx[406].start 11162.261
transcript.whisperx[406].end 11186.543
transcript.whisperx[406].text 我們希望有一些大型國際的大型的這些平台業者事實上也進駐到高雄我們希望再繼續努力好不好輝達有機會能夠進到高雄對高雄絕對是一大重大的一個鼓勵最後一個我問一下財政部長財化法的部分其實這個過去提出來這個版本我認為對北部縱北清南縱南清綠其實非常不公平的那這個部分
transcript.whisperx[407].start 11187.484
transcript.whisperx[407].end 11215.436
transcript.whisperx[407].text 財政部會提出財政法的修法版本我已經提出來了財政部會提出修法的版本嗎讓這些不公不義的一些法案重新再回到合理的一個狀態是的 財政部已經召集地方政府以及相關中央機關召開三次會議那我們會在廣徵各界意見以後再來討論部長什麼時候會提出來因為如果依照現行的版本對中南部的縣市真的很不公平對 現在的水平分配確實有很大的一個問題因為造成城鄉差距更為拉大所以這個部分我們
transcript.whisperx[408].start 11215.836
transcript.whisperx[408].end 11232.004
transcript.whisperx[408].text 不管有沒有目標什麼時間至少提出一個版本出來這個部分我們會持續的爭相關的意見然後跟內政院一起做我希望未來要整體的思考不要讓國家傾斜的更嚴重如果持續的縱北傾南的話這對國家整體發展是不好的謝謝謝謝謝謝賴日龍委員謝謝接下來請羅明財委員
transcript.whisperx[409].start 11246.024
transcript.whisperx[409].end 11273.893
transcript.whisperx[409].text 謝謝主席在座初烈習慣人各位委員大家好主席開會請主席長財政部莊部長請主席長陳主席長經濟部國安部長還有國安部長還有委員好這個開會很重要中央政府因應國際情勢強化經濟社會及民生國安任性特別預算案
transcript.whisperx[410].start 11275.275
transcript.whisperx[410].end 11279.738
transcript.whisperx[410].text 相關普發現金的問題總金額是多少普發現金的部分是財政部 它是2361億今天講特別預算上面不是寫5000多億全部是5500億
transcript.whisperx[411].start 11303.692
transcript.whisperx[411].end 11308.515
transcript.whisperx[411].text 5500億 5700億我們都知道去年的稅收是超徵5280億那
transcript.whisperx[412].start 11315.376
transcript.whisperx[412].end 11338.226
transcript.whisperx[412].text 這五千兩百八十億的部分其中有一部分是屬於地方政府的部分那所以這個部分要分給地方政府那我們中央的部分才有三千七百多億而已對 你扣掉還有三千七百多億嘛那稅收年年超徵事實上這些錢如果累積加起來十年你有沒有算過稅收一共超徵幾兆這個部分是不是由財政部來好啊 那你請財政部長
transcript.whisperx[413].start 11347.278
transcript.whisperx[413].end 11348.078
transcript.whisperx[413].text 來 請莊部長莊部長是那按理說這十年來稅收超徵的部分也將近一兆八千億啊
transcript.whisperx[414].start 11364.845
transcript.whisperx[414].end 11382.163
transcript.whisperx[414].text 跟委員報告沒有所謂的超徵只是我們的實徵數有超過預算數那如果超過預算數的話事實上第一個我們會優先還債然後再累計到我們的稅計剩餘所以沒有像委員說的有這麼多的錢
transcript.whisperx[415].start 11383.684
transcript.whisperx[415].end 11403.553
transcript.whisperx[415].text 部長 那你看我們在同樣的地方就在討論普發現金一萬塊那你現在這次的預算提出來到底要不要普發現金一萬給所有的民眾特別條例就已經規定了所以這一次的特別預算也有把這個普發現金一萬塊納進來編了2360億所以我們是不是要掌聲要鼓勵你
transcript.whisperx[416].start 11411.667
transcript.whisperx[416].end 11427.722
transcript.whisperx[416].text 感謝財政部部長還有主計長也算了感謝你們可是大家問題又來了這個問題已經講了快一年多了很多民眾在說為什麼我們的速度會那麼慢
transcript.whisperx[417].start 11428.857
transcript.whisperx[417].end 11450.789
transcript.whisperx[417].text 而且去年同樣的地點在討論一萬的時候不是說有一些委員跳出來說不要不行不能做有自愛難行的地方那你現在為什麼又提出來現在沒有自愛難行了嗎這一次我們除了移用稅基剩餘之外另外有舉借1056億的經費
transcript.whisperx[418].start 11454.278
transcript.whisperx[418].end 11481.985
transcript.whisperx[418].text 对 所以你就速度快一点嘛很多民众说 哇 拜托就是为了这一万块已经等了快一年多这个有时候想一想喔全世界没有人速度那么慢的啦好 你看新加坡上次说要普发现金普发了没香港说要普发现金 发了没美国也发全世界到处都在发
transcript.whisperx[419].start 11483.069
transcript.whisperx[419].end 11502.017
transcript.whisperx[419].text 人家速度很快我們現在還在討論拿到一萬塊有五種方式可以拿到這一萬塊是五種還是六種一般就是有五種方式跟112年六千塊是同樣的一個方式來發放
transcript.whisperx[420].start 11503.035
transcript.whisperx[420].end 11515.11
transcript.whisperx[420].text 因為你們的速度太慢了所以本席選擇我這一次可能應該也會領但我領出來 我要捐出來我捐給財政部財政部缺不缺錢
transcript.whisperx[421].start 11519.455
transcript.whisperx[421].end 11540.215
transcript.whisperx[421].text 沒有捐給財政部財政部也沒有這個捐款的一個專戶因為每一次遇到討論財政的問題你們都看起來就是我沒錢沒錢你沒錢其實是有錢的去年稅收超徵那我請問部長你今年稅收有沒有超徵
transcript.whisperx[422].start 11541.503
transcript.whisperx[422].end 11569.084
transcript.whisperx[422].text 跟委員報告114年到今年的8月底為止我們的時增數其實是低於去年同期的時增數我們的預算數又比去年多編了940比去年的時增數增加947億比去年時增數還高947億但我們今年的到8月底時增數是比去年少了300多億的所以接下來就是11 12月你有沒有信心達成目標
transcript.whisperx[423].start 11570.304
transcript.whisperx[423].end 11588.91
transcript.whisperx[423].text 這個很具有一個挑戰性今年的我們的時增數能不能達到預算數要看今年9月那個暫繳稅款就營所稅的一個暫繳稅款的金額多少我大概算了一下今年稅收還是會超增我希望說今年如果超增 明年超增你可以普發現金常態化
transcript.whisperx[424].start 11590.791
transcript.whisperx[424].end 11610.689
transcript.whisperx[424].text 不要說因為政黨輪替該還給民眾的 超收的這個稅收本來就還給人民嘛沒有所謂的超收每一塊錢的稅款都是依法徵收的沒有所謂的超收好 那請問部長我把這一萬塊捐給財政部大概什麼時候可以做到
transcript.whisperx[425].start 11611.63
transcript.whisperx[425].end 11619.639
transcript.whisperx[425].text 政府沒有這個捐款的專戶沒有那我就捐給花蓮花蓮的民眾這個尊重每一位的選擇我們謝謝羅明財委員謝謝部長請回謝謝接下來請郭益勤委員發言
transcript.whisperx[426].start 11632.498
transcript.whisperx[426].end 11652.347
transcript.whisperx[426].text 我做跟委會報告我們中午不休息我們大概在12點的時候開放用餐就請各位部會首長我們就現場用餐辛苦大家了 謝謝謝謝主席有請內政部部長請劉部長
transcript.whisperx[427].start 11662.216
transcript.whisperx[427].end 11689.072
transcript.whisperx[427].text 委員好部長午安我想這次就是花蓮的這樣子的一個事故其實很多的轉傳的影片當中其實難免有一些真真假假那在這裡我想要問一下因為現在您的片段被剪成10秒鐘針對這個片段因為我往下再繼續看完整的片段其實是有被惡意剪接在這裡是不是也請部長來解釋一下
transcript.whisperx[428].start 11689.672
transcript.whisperx[428].end 11714.56
transcript.whisperx[428].text 謝謝委員的關心我想在網路流傳的片段他是後製的剪接10秒如果往前看或往後看就非常了解我是要指示請警校要勸離在堤防邊的民眾那對於受困的女子後續也有指示的救援那其實在整個的這個影片當中我還有特別提醒包括縣府的同仁不管做疏散撤離或管制都要注意自己本身的安全
transcript.whisperx[429].start 11715.2
transcript.whisperx[429].end 11742.928
transcript.whisperx[429].text 那這個部分其實是非常明確的指示我只是不曉得第一個我沒有看過這個部分所以我昨天在跟記者回應的時候有提到現在的中央災害應變中心跟花蓮縣政府仍然是維持一級的警戒狀態如果有這種在網路上惡意的剪接的話影響到救災我們都一律用錯假訊息用災害防止救法來送辦所以這個部分其實連假訊息的部分其實我們也應該要嚴格的查辦我們一定會處理
transcript.whisperx[430].start 11744.448
transcript.whisperx[430].end 11753.773
transcript.whisperx[430].text 因為今天時間的關係我就先讓部長先回應到這裡接下來我請教一下教育部部長請鄭部長教育部時間可以慢慢來我們時間暫停沒關係請部長慢慢來
transcript.whisperx[431].start 11771.653
transcript.whisperx[431].end 11791.169
transcript.whisperx[431].text 委員好部長午安我想這次我們的教育部也編列了國安任性特別預算在教育部在教育的部分的用途上面我想我們特別編了200億分別是用在提升大專院校的經營另外還有一個強化高教跟產業的合作這兩方面
transcript.whisperx[432].start 11792.31
transcript.whisperx[432].end 11810.565
transcript.whisperx[432].text 就是我們編了各100億的這樣子的一個經費但是我想這筆錢其實橫跨了這個校務的補助那麼老師的留任那另外還有一些產學合作等等多樣的一個項目其實範圍是很大的但是在執行的細項其實我們並不是那麼的清楚的羅列
transcript.whisperx[433].start 11811.366
transcript.whisperx[433].end 11834.101
transcript.whisperx[433].text 那麼在這個部分來講其實在針對所謂的特別預算其實應該是比較屬於緊急或者是特定的一個任務但是像校務經營或者是教師留任的這些獎金是屬於長期的支出那我們當然也會擔心說我們是不是把所謂的用預算然後來
transcript.whisperx[434].start 11835.882
transcript.whisperx[434].end 11859.398
transcript.whisperx[434].text 應該是說來蓋住我們這些必須要長期支出的預算只是為了數字漂亮而已喔那在這裡我提出一些問題喔就是關於我們的這個消務經營的一個補助那教育部我們規劃了投入65億那其中的他的準則是依照學生人口數的一個規模來做核算的一個補助但是在細項的部分其實並沒有交代的非常的清楚喔
transcript.whisperx[435].start 11859.758
transcript.whisperx[435].end 11881.968
transcript.whisperx[435].text 那我想要問的是如果依照學生人數的一個補助學生比較少或者資源比較弱弱勢的一些學校他們拿的會更少那這個部分其實會不會拉大整個所有的資源的一個落差我們今天其實沒有時間讓部長好好的回答但是針對這個部分我建議這個教育部應該要公開各校補助金額跟計算的一個方式
transcript.whisperx[436].start 11883.028
transcript.whisperx[436].end 11910.612
transcript.whisperx[436].text 那我們能夠這樣子做才能夠避免這個資源全部集中在所謂的大型的學校而不是為了要填補這個赤字然後忽略了整體在教學體質上的一個基本的一個問題這個是第一個問題那再來就是我提到的就是三年內不漲學費這看起來是好事看起來是好事但是對於某一些私校來講它有可能會變成是一種壓力喔因為弱勢學生比較多
transcript.whisperx[437].start 11911.332
transcript.whisperx[437].end 11938.161
transcript.whisperx[437].text 支出又要比較高那相對的來講會不會越補越補就撐不下去我也擔心這樣的問題那這個事後我們再請教育部給我一個比較完整的謝謝委員提醒我想對經濟弱勢或者因為這一次這個整個國際其實大學它確實是在教學儀器設備在整個經營上確實是面臨比較大的挑戰因為我們知道國民教育中小學都是公務預算裡面
transcript.whisperx[438].start 11939.241
transcript.whisperx[438].end 11947.803
transcript.whisperx[438].text 就能夠全力來支持但是我們因應這一個大學我們看到日本也編了1000億歐盟也編了5億的這一個都是用來延攬人才我想都看出世界各國在因應這個高等教育在人才的延攬包括幾多的營運上很弱勢的一個照顧我想這個
transcript.whisperx[439].start 11960.827
transcript.whisperx[439].end 11986.354
transcript.whisperx[439].text 那再來第四點就是精進效務的經營的具體的財務的指標會是什麼這個我們事後再請教育部再跟我們來做更詳細的一個說明那第二點其實呢就是教育部在這一次我們特別講到了我們關於人才留任跟產學的一個合作那就高教人才永續發展的部分以及我們的高教產業的一個合作的部分我擔心的是這個所謂的應該是說
transcript.whisperx[440].start 11990.325
transcript.whisperx[440].end 12014.06
transcript.whisperx[440].text 老師留任的獎金那他的標準發放的標準是什麼再來就是如果這位老師他中途他離職了是不是有追回的一些機制再來我們是不是都把所謂的資源集中在台清教程等等這六所的所謂的研究型的大學這也是我擔心的一個問題喔那我想的只有公開透明明確界定用途這200億
transcript.whisperx[441].start 12016.101
transcript.whisperx[441].end 12033.59
transcript.whisperx[441].text 才能夠真正的落實台灣教育的一個品質跟我們的國家的一個韌性今天因為時間的關係那當然這個後續其實我們也希望有更多的機會可以跟教育部好好來討論這個部分好 謝謝謝謝部長 謝謝書記可以 可以 請書面答覆好 謝謝 謝謝謝謝國委員接下來請羅美玲委員發言
transcript.whisperx[442].start 12046.137
transcript.whisperx[442].end 12048.519
transcript.whisperx[442].text 謝謝主席 有請國防部顧部長好 請國防部顧部長是 洛元好
transcript.whisperx[443].start 12062.564
transcript.whisperx[443].end 12084.439
transcript.whisperx[443].text 部長好 部長我們這次的特別預算強化韌性有編列了1500億那其中有大約是一半預算是用在提升資通作業環境跟這個設備那當然包括了這個居民資通作業環境韌性跟設備效能提升計劃還有指管系統韌性及資安防護擴充計劃等五大計劃那這些計劃其實都涉及了這個資安防護的強化
transcript.whisperx[444].start 12092.264
transcript.whisperx[444].end 12100.117
transcript.whisperx[444].text 足夠的治安專職人員來執行所以我想請教部長我們國境現有的治安人員是否能夠來做支持
transcript.whisperx[445].start 12103.344
transcript.whisperx[445].end 12129.531
transcript.whisperx[445].text 委員能不能再說一遍您剛剛是說資安的人才是 資安的專職人才因為現在我們已經編列了1500億作為強化韌性我們有一半的預算都是用在提升資通作業環境跟設備還有資通安全的部分所以我想請教目前以我們國軍的資安人力的話我們有沒有辦法來支持跟應付
transcript.whisperx[446].start 12130.431
transcript.whisperx[446].end 12159.391
transcript.whisperx[446].text 我們國防部有另辦一個叫做國軍通往店的發展的策略就針對這個人才的培育裝備的建置有一個明確的規劃那資安能力的培育也參考各國的做法來建立一個相關的機制跟流程所以我們會分成基礎訓練專業訓練跟高階訓練有不同來進行相關的這些培育的一些工作
transcript.whisperx[447].start 12160.671
transcript.whisperx[447].end 12184.003
transcript.whisperx[447].text OK 那我們所了解就是說像這個公司部門尤其是民間企業資安人才的需求它是不斷的在成長然後各個產業它將這個資安人力不足的作為呢這個視為是一個挑戰像國內的整體的企業資安人力呢我們看到是需求成長率是非常的高那我想請教國防部我們要如何跟民間企業來搶人才那
transcript.whisperx[448].start 12185.103
transcript.whisperx[448].end 12207.191
transcript.whisperx[448].text 我們搶得過企業界嗎 想請問因為有沒有擔心說有我們的薪資或者是一些福利不如人又哪一些像除了剛剛部長所提到的一些政策之外那還有沒有其他的誘因來吸引這個人才的招人 請問我想這個可以分兩部分一部分就是家籍的部分
transcript.whisperx[449].start 12207.791
transcript.whisperx[449].end 12228.475
transcript.whisperx[449].text 加急的部分一部分是我們進行的培育的部分因為在國軍的話他從事相關的這些培育我們是有一個定期然後一個週延的一個規劃然後來逐步的來培育他有一直有這樣的一個專業技能存在另外我們有往
transcript.whisperx[450].start 12228.615
transcript.whisperx[450].end 12248.286
transcript.whisperx[450].text 網路站的佳績在114年6月也把它做一個提升那這樣子的一個網路站的一個佳績具體的方向數字大概就是說我們有分成不同的級別包括專精二級 專精一級 精英二級跟精英一級還有專家級等等
transcript.whisperx[451].start 12248.886
transcript.whisperx[451].end 12264.154
transcript.whisperx[451].text 那當然不可諱言的民間的這個企業的資安人才的一個需求一定會衝擊到我們國軍在這部分的一個人才的招募但國軍的部分當然他就是說他
transcript.whisperx[452].start 12266.283
transcript.whisperx[452].end 12283.308
transcript.whisperx[452].text 有一定的穩定我們再加上網路上加擠另外我們有一個比較系統性的栽培的話培養我們的一定的量人我們希望我們都能夠維護住這樣子的一個人才
transcript.whisperx[453].start 12284.534
transcript.whisperx[453].end 12300.627
transcript.whisperx[453].text 所以部長您覺得說像目前我們所施行的這些政策其實就是一些很大的比如說您剛才講到的家計然後當然可能工作也比較穩定那我們可能還有系統性的栽培所以像這個我們都是優於企業的一個方針嗎我們覺得這樣子就是一個誘因嗎我們應該是說國防部在我們可以
transcript.whisperx[454].start 12311.206
transcript.whisperx[454].end 12328.455
transcript.whisperx[454].text 資源可以因應的情況之下我們做最大的努力來吸引住這些人才然後來培育這些人才然後讓這些人才能夠被我們長留久用那還有一點我想請教就是我之前看到審計部在113年總決勝的審核報告裡面他有提到好幾個主管機關
transcript.whisperx[455].start 12334.998
transcript.whisperx[455].end 12353.136
transcript.whisperx[455].text 他们这个治安专职人员其实呢有很多是没有取得治安专业的这个证到甚至未取得职能训练证书就像这个法务部卫福部教育部都有被点名那像我们国防部呢我们国防部有这样子的问题吗还是说我们会更加的严格更加的严谨
transcript.whisperx[456].start 12354.237
transcript.whisperx[456].end 12382.392
transcript.whisperx[456].text 會取得這個資安專業證照的這個人數到目前為止的話我們這邊有這種狀況嗎還是說來當國防部的這個資安專職人員你就必須一定要有證照我目前是怎樣的一個狀況我們會鼓勵他們盡量去取得證照因為取得一個證照之後他的這個待遇會相對來講應該是會比較好所以我們會鼓勵他們盡量是鼓勵可是沒有強制要求是不是
transcript.whisperx[457].start 12384.334
transcript.whisperx[457].end 12402.475
transcript.whisperx[457].text 因為他要能夠增加他自己所獲得的待遇他就必須要去維持住這樣的證照之外他還要能夠再提升他的證照的等級我想我們是以提供誘因的方式來讓他能夠維持住這樣的一個資安能力
transcript.whisperx[458].start 12403.43
transcript.whisperx[458].end 12426.82
transcript.whisperx[458].text OK 因為時間關係主席已經站起來了然後後續還有很多的這個問題我們之後再繼續討論好 以上謝謝剛剛委員指教的是有其實維護人才確實都是一個挑戰但我們應該要盡最大的努力那詳細的部分如果委員有需要推詢我們再跟委員再做溝通OK 好 謝謝部長好 以上謝謝好 謝謝羅美玲委員好 部長請回那接下來我們請謝龍介委員
transcript.whisperx[459].start 12440.077
transcript.whisperx[459].end 12440.557
transcript.whisperx[459].text 主席請內政部長 劉部長
transcript.whisperx[460].start 12467.532
transcript.whisperx[460].end 12488.149
transcript.whisperx[460].text 教育委員 你好部長 辛苦了法規這麼負面你們變成任性預算 任性國防 任性防災我知道你很辛苦 掩飾這個事情有人在社會有些聲音要有在國為的人 要有菩薩的心腸人家靠不住就要走 沒有必要
transcript.whisperx[461].start 12497.585
transcript.whisperx[461].end 12505.568
transcript.whisperx[461].text 我請教你喔,在今年的風太來開市,你是裁縫中心的支援官。這是任務編組的。開設幾次?為今年開市開設幾次喔?應該是有四、五倍吧。我可能要詢問一下,不好意思。沒關係,頭一倍就是七月初五,我們台南丹納斯,頭一倍嘛。
transcript.whisperx[462].start 12524.127
transcript.whisperx[462].end 12536.116
transcript.whisperx[462].text 再來就是7月2月放水災再來這個8月10日我們一級開始就是在放太陽流再來最好可能就是9月2、3嘛來 我請教你就是說你卡電話給錢來這邊補充你放完是倒一粒9月7、4還是9月7、3?9月7、39月7、3嘛
transcript.whisperx[463].start 12553.035
transcript.whisperx[463].end 12564.078
transcript.whisperx[463].text 本身在這裡跟你傾聽 不行動是大行 這就是菩薩的心動你若沒有靠這種定位 今天的聖夢絕對是有夠淺蕩的啦但是你求這個規定中 你的中間 天下要三五大行大行公認 你說他 沒必要
transcript.whisperx[464].start 12575.799
transcript.whisperx[464].end 12584.165
transcript.whisperx[464].text 你如果沒有靠這兩個電話 如果沒有代替這個團隊他最好送給你的資料這個模型是高的利益 才是高的利益利益高的利益嘛齁所以你在大大三十點鐘的時間你來做應變然後發達這個命令 坦白講這後面要求職檢調單位去查 因為這有卡到你們名
transcript.whisperx[465].start 12604.995
transcript.whisperx[465].end 12621.521
transcript.whisperx[465].text 本省跟你說 你在九尾車山跟卡士頓電圍因為你是九尾二山跟升陸這個採訪中心之前那一半 你是在八尾十二升陸的所以表示你有去接納到一些專家跟你說的建議跟評估這本省在這裡送給你一個傾聽 不行動的台詞
transcript.whisperx[466].start 12628.959
transcript.whisperx[466].end 12639.465
transcript.whisperx[466].text 如果沒有,這班的上門絕對不是這樣而已不管八千六百的鐵鐵多少就是已經把大量的人靠在這裡移出所以這是有很多人面向依然這本身對你的傾聽,來都要保重在這裏裁縫中心沒有設立的進程
transcript.whisperx[467].start 12654.352
transcript.whisperx[467].end 12664.623
transcript.whisperx[467].text 這個N15的款式是不是 內政部長是不是要整層的款式都進補所以在這個中間 你的車頭就沒有像內政部長這樣當然 當然是跟你問 你說沒有這時的危險 本市也能接受
transcript.whisperx[468].start 12677.796
transcript.whisperx[468].end 12685.124
transcript.whisperx[468].text 但是這種東西是隨時會爆發的東西隨時會有地雷火爆 陰暴的危險你沒有這樣做是你建議來政部長找台台的團隊 立法院的團隊那時候是來政部長他自己去找 你有參與嗎
transcript.whisperx[469].start 12697.762
transcript.whisperx[469].end 12711.976
transcript.whisperx[469].text 一開始的人 我先跟委員報告七個月以來 我們成立以後我們有專家的會議 還有一個非常重要的跨部會的會議那在跨部會的會議裡面你們有做什麼 過去給裁判中心的幾位官要求的
transcript.whisperx[470].start 12713.123
transcript.whisperx[470].end 12737.193
transcript.whisperx[470].text 做這個動作沒有啦那是勞保長 那時候紀委官的時候他覺得說這應該要找更多的專家來討論進展也有夠我告訴你 他的紀委官是8月12日成立一半之後還被解除之後第四次成立是高危二三的事情啦所以8月12日到他9月13日去打這通電話他有做這個會議記錄的關係拜託紀委中心的紀委官去做這個事情沒有啦我跟委員報告
transcript.whisperx[471].start 12743.26
transcript.whisperx[471].end 12767.911
transcript.whisperx[471].text 我們要佩服的財力 當你到台灣以後那些老智慧官買了老寶座也一直關心這個議題所以我們也有在討論不是說因為你說沒有這次的危險當機時的思考北京本身也同意嘛清華萬棟到高清棟這個中間的特區過程中你們有用雷震波就是這個採訪中心的智慧官有提出這個建議嗎
transcript.whisperx[472].start 12772.213
transcript.whisperx[472].end 12782.183
transcript.whisperx[472].text 我向委員報告 我們提出來也是由專家來評估的你請到一個專家楊交大的團隊他多久給你的報告他的評估報告從7月26號持續的一直在調整所以他的報告跟你說的就是沒有真實的危險
transcript.whisperx[473].start 12791.94
transcript.whisperx[473].end 12821.101
transcript.whisperx[473].text 他們是針對整個... 啊來賓補貼到這裡的報告都要一天一天在一天的時間裡面去做那個決定 下那個命令今天我們坦白說 結論來說是救很多人啦不然就往生去這裡的人吃不完我不是在對救這些人啦不可以配合阿嬤嘛你這無關 如果不想擔責 下面是無關的領域啊嘛這1420個耶 今天阿姨沒有下那個命令啦有可能200個阿姨想喔
transcript.whisperx[474].start 12822.645
transcript.whisperx[474].end 12829.09
transcript.whisperx[474].text 如果沒有下令 貼貼百姓六百的不管有令力貼貼 沒令力貼貼啦總是大家盡力去做啊 這樣不是這樣嗎?這樣不是這樣嗎?我跟委員報告 整個的防災過程中是中央 地方都要通力合作的然後各有他的權責我才要通力合作啦我現在在說人家有合作問題在你那裡漏屍淋漓 你還聽不聽
transcript.whisperx[475].start 12850.333
transcript.whisperx[475].end 12853.336
transcript.whisperx[475].text 你那個詳細現在針對社員的問題喔你用書面詳細回答嘛你用書面回答嘛
transcript.whisperx[476].start 12874.704
transcript.whisperx[476].end 12901.012
transcript.whisperx[476].text 這樣就表示未來這個事情有可能會發生在行政團隊裡面他有一個跨部會的聯繫匯報這個聯繫匯報裡面各部會都有參加你把聯繫匯報裡面你有提出這個建議我看書面提出來這個不是提出一個正式的建議是在討論的時候劉部長覺得說應該再找其他的專家來一起來那這個大家都可以同意的時間的關係你寫一個報告給社員了解好不好針對他的問題好不好 社員謝謝
transcript.whisperx[477].start 12904.687
transcript.whisperx[477].end 12927.762
transcript.whisperx[477].text 好 接下來請葛如君委員好 謝謝主席有請國防部海巡署請國防部顧部長
transcript.whisperx[478].start 12929.608
transcript.whisperx[478].end 12942.487
transcript.whisperx[478].text 海巡署是那個海巡署張署長各位在哪裡
transcript.whisperx[479].start 12948.222
transcript.whisperx[479].end 12961.543
transcript.whisperx[479].text 謝謝部長 謝謝署長本席過去不斷重申自動任性很重要不過過去我們看到中華電信還有相關行政院的憑證遭到Google撤銷不信任
transcript.whisperx[480].start 12962.464
transcript.whisperx[480].end 12983.529
transcript.whisperx[480].text 以及對能夠補強頻寬的STARLINK疑神疑鬼最近一下又說不行 一下又說可以 後續也沒有下文最近還有海嵐很可能遭遇到被割斷的風險很可能我們台灣變成數位孤島想先請問一下國防部 在預算書第49頁的部分
transcript.whisperx[481].start 12985.669
transcript.whisperx[481].end 13001.661
transcript.whisperx[481].text 有提到這個要構置執行光纖電纜搶修等等的這個設備相關的預算想請問這個部分是用來應對當海纜遭切斷時我們可能會遇到的人民沒有辦法上網我們軍隊也可能受到影響的情況嗎
transcript.whisperx[482].start 13003.688
transcript.whisperx[482].end 13024.924
transcript.whisperx[482].text 跟委員報告這個部分應該是在主要是在光纖的部分在哪裡的部分不好意思就地面的光纖的部分好那是不是只支援國軍各站台間的管道還是也來影響到保護到我們人民的這個上網的一個狀態
transcript.whisperx[483].start 13026.891
transcript.whisperx[483].end 13051.322
transcript.whisperx[483].text 我們應該著重的部分是在國軍本身的部分民間的部分的話應該是由民間的這個電信公司來部長我們不是說好了要全民國防嗎那打仗或者是極端狀況發生的時候只有國軍需要任性嗎我們變成其他人變數位孤島都沒有關係嗎我們應該是共同協作因為
transcript.whisperx[484].start 13052.344
transcript.whisperx[484].end 13071.39
transcript.whisperx[484].text 是謝謝部長 軍方跟軍方的部分民間跟民間的部分我們一起會形成一個網狀的一個體系我只需要您這四個字啦這些預算不應該只是在國軍各站台間的管道布放以及保護好不好希望有共同協作的部分請您再仔細理清
transcript.whisperx[485].start 13073.131
transcript.whisperx[485].end 13095.53
transcript.whisperx[485].text 謝謝那接下來在預算書第49頁的地方呢也有提到這個衛星通訊設備的租賃因為我們剛剛看其實沒有保護到一般民間的這個網路通訊的韌性我們就想說那如果有衛星的話可能好一點一開始還很高興看到說有這個衛星使用563億
transcript.whisperx[486].start 13099.454
transcript.whisperx[486].end 13108.047
transcript.whisperx[486].text 結果是要用租的我想請問一下這個部分是要怎麼規劃有哪些限制預計什麼樣的評官有沒有規劃這個我們是不是請
transcript.whisperx[487].start 13111.798
transcript.whisperx[487].end 13133.691
transcript.whisperx[487].text 委員好 我是通知室次長我們當初的規劃就是因為用租的既有的這個可以盡快的形成我們的戰力那如果要重新建置的話我們可能投資的成本我理解 租可以 我們沒有說不能租你要跟誰租 多少頻寬 什麼時間你是要跟OneWeb租 那頻寬夠嗎還是Starlink有考慮在內嗎
transcript.whisperx[488].start 13136.954
transcript.whisperx[488].end 13142.569
transcript.whisperx[488].text 是另外一型的衛星那頻寬我們也討論過是可以滿足我們的需求
transcript.whisperx[489].start 13143.291
transcript.whisperx[489].end 13168.477
transcript.whisperx[489].text 那未來這個衛星下鏈了之後可以軍民共用平寬多少 哪一家所以不是Sarlink也不是OneWeb所以另外的租賃要花563億啊那烏克蘭用的是哪一家您知道嗎563億不是全部用在這個衛星的租賃上面所以我們就想要問你衛星租賃要花多少錢你這裡底下寫得很清楚啊數量很高啊
transcript.whisperx[490].start 13172.162
transcript.whisperx[490].end 13184.544
transcript.whisperx[490].text 那到底分開來是多少你衛星要花多少跟誰租我們完全沒有細節麻煩會後提供細節好嗎然後這個民間可以使用嗎民間可以使用嗎
transcript.whisperx[491].start 13185.866
transcript.whisperx[491].end 13206.483
transcript.whisperx[491].text 我想我們主要在建構這個韌性的部分具有的這些相關的手段我們都會跟軍警消來可以互通然後我們在有任何災害的時候我們也可以將這些都能夠投入災區的防救我剛剛問題你們一個都沒有回答到有沒有包含SAR LINK
transcript.whisperx[492].start 13208.089
transcript.whisperx[492].end 13236.619
transcript.whisperx[492].text 平寬多少你們列在563億里最重要的第一個衛星通訊備援網路租賃我現在問幾個問題都沒有答得出來你們到底錢要怎麼花啊那民間能不能用都沒有回答部長不好意思我很尊重您可是您剛剛都在念稿啊我要答到這三個答案你們誰可以告訴我第一有沒有SARlink第二平寬多少第三民間能不能用
transcript.whisperx[493].start 13238.156
transcript.whisperx[493].end 13250.909
transcript.whisperx[493].text 我想第一個不是STARLINK第二個頻寬我們經過評估是夠我們的作戰防衛需求頻寬多少3G3G的頻寬衛星3G的頻寬你確定3G BPS是沒錯上傳還是下載下鏈
transcript.whisperx[494].start 13263.3
transcript.whisperx[494].end 13286.66
transcript.whisperx[494].text 下鍊是3G的頻寬好這一點你麻煩確認一下我想這個基礎的設施也很重要現在有一些這個相關的這個資安人員有提到火箭發射基地的一些支通的設備是有非常多危害跟漏洞的麻煩清查確認一下那以及最後一個問題不好意思主席
transcript.whisperx[495].start 13288.175
transcript.whisperx[495].end 13304.648
transcript.whisperx[495].text 請問一下海巡署你們這邊149億要來做一些相關的規劃我們想請問一下細節結果一切都說是機密我想請問一下這個細節能不能以密件提供
transcript.whisperx[496].start 13306.409
transcript.whisperx[496].end 13325.123
transcript.whisperx[496].text 包委員可以我們會後再提供給委員好那我們會後來了解一下因為是149億不低那另外這個密件又很重要的話我們剛剛的這些預算或者149億有沒有算在美國對我們的國防預算的要求當中這個能不能算在我們的GDP的%裡面
transcript.whisperx[497].start 13328.479
transcript.whisperx[497].end 13348.408
transcript.whisperx[497].text 用書面答覆好不好這個麻煩詳細的細節用書面答覆我們也希望我們的韌性不是只會編預算而已還是要非常仔細的來規劃才能讓我們民眾的每一分錢都用在對的地方真正提升韌性謝謝我們謝謝葛國軍委員署長請回接下來我們請陳秀寶委員發言 謝謝
transcript.whisperx[498].start 13365.061
transcript.whisperx[498].end 13368.822
transcript.whisperx[498].text 謝主席 請教育部政部長好 請政部長委員好
transcript.whisperx[499].start 13387.935
transcript.whisperx[499].end 13392.037
transcript.whisperx[499].text 部長午安在特別預算之前我這邊要先請教部長明年教育部的編列的預算少了908.7億這個引起許多教師以及許多教育團體的討論很關心我們受到才化法的影響中央各部會將大幅的經費都分到了地方政府
transcript.whisperx[500].start 13411.946
transcript.whisperx[500].end 13439.83
transcript.whisperx[500].text 但是相關的業務該由誰負責如何分工仍然是很不明確的大問題那過往呢地方政府往往說經費不足許多教育經費呢都仰賴中央的補助例如像電費啊我們增加教師員額的經費或是非營利幼兒園的補助甚至是學校的修繕硬體修繕那以彰化縣為例呢通常也都是中央補助七成地方政府自行負擔三成這樣的分配比例
transcript.whisperx[501].start 13440.39
transcript.whisperx[501].end 13448.794
transcript.whisperx[501].text 那明年的這個預算已經大幅從中央分到地方部長我想請教目前教育部有沒有跟地方政府來討論相關業務的分工
transcript.whisperx[502].start 13453.407
transcript.whisperx[502].end 13472.878
transcript.whisperx[502].text 跟委員報告 整體在115年的預算跟今年的預算事實上實質是只有短少79億那為什麼委員會提到說900億是我們有教育部實質補助到地方的一般補助有配額是813億
transcript.whisperx[503].start 13475.259
transcript.whisperx[503].end 13484.331
transcript.whisperx[503].text 所以在這一個部分整體來講教育部主管的地方政府的經費會配有955里面包含一般補助813億跟這一個
transcript.whisperx[504].start 13487.679
transcript.whisperx[504].end 13508.97
transcript.whisperx[504].text 这一个计划型补助是142亿所以整体来讲我们当然因为这一个财务好以后部长 我这边请教您的是说你们教育部跟地方政府的分工有没有开始讨论了事实上我们一直都在讨论一直在讨论好 如果是在进行中也希望说
transcript.whisperx[505].start 13510.291
transcript.whisperx[505].end 13526.008
transcript.whisperx[505].text 等你們討論出大家是有共識的時候呢教育部跟地方政府這個分工可以明確的告訴民眾讓大家一起可以來監督可以清楚明瞭地方政府有沒有落實從中央分配到的關於教育預算的這些經費的使用
transcript.whisperx[506].start 13526.93
transcript.whisperx[506].end 13543.642
transcript.whisperx[506].text 謝謝委員提醒好那接下來呢我請教部長喔本次呢我們醫院國際情勢這個特別預算呢教育部有針對支持高教育產業合作共賠人才有編列了80億是用在補助大學的校園延攬及留任出聘
transcript.whisperx[507].start 13544.322
transcript.whisperx[507].end 13561.713
transcript.whisperx[507].text 編制內的專任教師那主要是希望說可以在國際情勢的影響之下因為國際情勢造成人才的流動我們可以讓研究型的大學可以留下優秀的人才更可以吸引到國際優秀人才來台灣研究並且由各校院來規劃十年的這個攬才計畫
transcript.whisperx[508].start 13564.835
transcript.whisperx[508].end 13585.156
transcript.whisperx[508].text 但是根據過往我們彈性薪資的方案執行內容在補助的人數方面其實新聘的人數是遞減另外針對獲得補助的這個級值來看副教授 助理教授等青壯世代的學者或是補助的比例還是比較低 能代提升
transcript.whisperx[509].start 13585.717
transcript.whisperx[509].end 13596.952
transcript.whisperx[509].text 那監察院這邊也調查報告就說彈性薪資方案補助的對象是偏重在現職人員對國際人才延攬的成效其實是有待加強的喔那部長您知道這個狀況嗎
transcript.whisperx[510].start 13598.644
transcript.whisperx[510].end 13618.03
transcript.whisperx[510].text 跟委員報告確實在過去因為在談信息裡面主要是看教授們的個人的學術研究表現以及教學還有對社會的一些貢獻那當然會升到教授某種程度他的研究能量確實會比年輕的學者助理教授副教授好一點
transcript.whisperx[511].start 13618.65
transcript.whisperx[511].end 13638.949
transcript.whisperx[511].text 那也因為這樣 陳委員所關心高教師跟計時師也看到這一個現象所以我們現在各校的一個這個彈性薪資至少在副教授以下要有40%副總 現職人員跟比較資深的一定有他的優勢而且有他本身很優秀的地方我們是要留任
transcript.whisperx[512].start 13639.369
transcript.whisperx[512].end 13648.976
transcript.whisperx[512].text 但是延攬新進的人才新聘的人才這一塊我們要怎麼來努力我希望說我在這邊提出這個提醒就是希望我們未來教育部應該審慎的評估各校提出的這個攬財計畫那其實關稅的衝擊影響的不只是產業面經濟面因為連帶會影響到其實我們學界的影響很大因為經濟的變動會使人才流動所以
transcript.whisperx[513].start 13662.705
transcript.whisperx[513].end 13690.046
transcript.whisperx[513].text 希望說我們要確實的來督導相關的這些業務的執行我們才能夠達到鼓勵教師留任以及延攬的這個目標是 我想我們教育部所這一次的一個特別預算的200億裡面的100億本來就是完全就是跟委員的一個想法是一樣的我們因為產業的蓬勃發展產業的待遇確實也吸引了許多年輕的一個這個有高學位的這些人才
transcript.whisperx[514].start 13690.506
transcript.whisperx[514].end 13713.971
transcript.whisperx[514].text 那我們怎麼樣能夠把產業的一個需求包含這些人才能夠為大學所用這是我們這一次裡面特別提出來的因為我們也跟委員報告委員也非常清楚有非常多研究型大學現在在理學院工學院事實上是聘不到老師不容易聘到甚至在文理社科也都有一樣的一些問題我們也希望能夠
transcript.whisperx[515].start 13714.891
transcript.whisperx[515].end 13735.042
transcript.whisperx[515].text 因為這個預算我們是支持的但是如何能夠執行到位能夠真正發揮它的效益這個部分希望教育部這邊能夠再努力是 我們一定會把關也跟各大學也都有一定程度的一些交換意見怎麼去建立一個機制 攬財的一個機制跟留財的一個機制謝謝部長 謝謝陳秀馬委員的質詢接下來請羅廷維委員
transcript.whisperx[516].start 13746.581
transcript.whisperx[516].end 13750.873
transcript.whisperx[516].text 謝主席有請財政部經濟部好 請財政部莊部長經濟部我們拱部長
transcript.whisperx[517].start 13760.768
transcript.whisperx[517].end 13781.004
transcript.whisperx[517].text 好 首先請教一下財政部部長普發一萬總統公佈後我們何時可以發放相關的期程規劃如何國人對普發一萬是高度的重視我想這個政策呢此時還要再花1350萬的廣宣費你認為真的有必要性嗎
transcript.whisperx[518].start 13782.352
transcript.whisperx[518].end 13798.438
transcript.whisperx[518].text 跟委員報告這個地方我們會在總統公佈後一個月內就可以執行發放的作業一個月內一個月內就一定可以發放一個月內一定可以發放完畢完畢不可能對不起 開始發放我用字更精準一點對 開始發放那你認為在這個時機點花1350萬廣宣費有必要嗎
transcript.whisperx[519].start 13804.26
transcript.whisperx[519].end 13827.133
transcript.whisperx[519].text 廣宣費是有必要不能夠用政府的既有的宣傳資源去支應嗎現有的資源我們也會用比如說公共大眾運輸的一些車站都會用但是我希望你要盤點不要重複的支出啦我們一定會核實支出最重要的是普發疑問是政府因應美國提高關稅保護台灣出口產業及國民經濟韌性所啟動的即時紓困
transcript.whisperx[520].start 13829.594
transcript.whisperx[520].end 13839.608
transcript.whisperx[520].text 所以立院很快排審也希望行政院的程序能夠加快財政部門能夠配合盡快讓民眾能夠領到好 謝謝是 謝謝委員第二個想請問一下經濟部部長
transcript.whisperx[521].start 13841.816
transcript.whisperx[521].end 13861.743
transcript.whisperx[521].text 一個比台積電赴美投資更令國人震驚的事情那就是台灣主動要在美國建立科學園區科學園區是一個群聚效應的概念台積電赴美投資就算了上下游廠商會自己決定要不要去美
transcript.whisperx[522].start 13862.483
transcript.whisperx[522].end 13875.264
transcript.whisperx[522].text 但是現在政府宣布要把台灣科學園區的一個模式在美國複製等於是整個台積電上下游都請過去美國這政策的考量核心是什麼可不可以請你說明一下
transcript.whisperx[523].start 13876.595
transcript.whisperx[523].end 13898.353
transcript.whisperx[523].text 包委員因為我們產業的佈局就是秉持著總統的立足台灣佈局全球行銷全世界立足台灣是第一步所以就是說我們的能量跟最先進的技術都會留在台灣這個我都知道對 佈局全球的部分因為廠商他有在海外他設立據點的這樣的需求
transcript.whisperx[524].start 13899.13
transcript.whisperx[524].end 13915.859
transcript.whisperx[524].text 那如果台積電因為它夠大所以它可以自己支撐整個上下游所以這個我們都知道但是有其他的很多的比較中型的或中小型的他們可能需要一個因為台灣園具的成功主要是Cluster聚落
transcript.whisperx[525].start 13916.659
transcript.whisperx[525].end 13942.999
transcript.whisperx[525].text 所以在一個聚落裡面是比較成功的機會是比較大的當然我們相信整體搬到那邊台積電上下游整體搬過去整個科學園區的一個概念聚落化在美國一定成功率大大提升我們都知道立足台灣放眼全球可是台灣整體半導產業的人才已經有短缺上下游廠商研發團隊一併移動當然你說主要的最先進的在台灣
transcript.whisperx[526].start 13943.679
transcript.whisperx[526].end 13962.083
transcript.whisperx[526].text 但是一併移動會不會導致本體產業的研發能量跟本土供應鏈的鬆動整體有沒有去做一個相關的評估我想打算幫美國複製竹科經驗到底換回什麼樣的有利條件政府應該更嚴謹有依據的去做完整的說明整個台灣未來半導體產業產業鏈 生態鏈我們的產業外移還有產業的擴張這個部分你覺得呢
transcript.whisperx[527].start 13968.644
transcript.whisperx[527].end 13984.057
transcript.whisperx[527].text 包委員就是說第一個一定要廠商有這樣的意願他有需求做全球佈局那這時候台灣的政府才會來協助那他要落地在當地要能夠成功最主要要有一個cluster的形成
transcript.whisperx[528].start 13984.597
transcript.whisperx[528].end 13999.271
transcript.whisperx[528].text 這是第一步 第二步他還要當地的地方政府就是國外的當地的地方政府他的facility要協助甚至於中央政府有一些法規上美國一定會協助嘛 我知道嘛但是我現在擔憂的還是整理的台灣半導體的產業鏈跟生態系在台灣的部分
transcript.whisperx[529].start 14002.594
transcript.whisperx[529].end 14025.434
transcript.whisperx[529].text 我希望您能够再多重视我们不是说要阻挡但是在整个放眼全球的过程当中立足台湾这个点有没有做到完整的配套整个完整的先顾好台湾以台湾为主我们看到现在关税整体的样态以及也看到美国商务部长卢特尼克9月28接受媒体采访
transcript.whisperx[530].start 14026.114
transcript.whisperx[530].end 14053.615
transcript.whisperx[530].text 說晶片是台灣的戲盾但是對美國造成威脅美國正在討論台灣晶片生產的比例承諾從現在的95%台灣生產到美國希望調整為五五分工這是他的說法但我要講的是美國一定是以自己的整個整體利益為主但是部長95%的晶片產能在台灣真的對美國構成相對應的威脅嗎您覺得有嗎
transcript.whisperx[531].start 14054.284
transcript.whisperx[531].end 14068.984
transcript.whisperx[531].text 是 包委員事實上我也回答過外界這樣的詢問我的回答是說台灣的產業是在全世界供應鏈裡面一環台灣的產業生產越有效率對全世界的供應鏈是越有幫助對 越大的貢獻
transcript.whisperx[532].start 14069.384
transcript.whisperx[532].end 14090.44
transcript.whisperx[532].text 民主國家台灣我們立足台灣放眼全球讓全球看到台灣怎麼會變成是美國的威脅我簡單講這個就是美方對於供應鏈要移轉製造的壓力的政治語言所以我希望部長在這邊藉此能夠向這個國人保證我們不會接受50加50
transcript.whisperx[533].start 14091.621
transcript.whisperx[533].end 14117.822
transcript.whisperx[533].text 我們不會接受這樣子的一個所謂的談判我們更希望在一連串的貿易談判當中巨大集團部長應該知道吧對 我說巨大集團最重要的品牌之一就是捷安特美國以強迫勞動現在宣布要暫扣巨大在台灣生產的自行車零組件暫停蘇美相關產品還有可能進一步的沒收請問部長
transcript.whisperx[534].start 14118.582
transcript.whisperx[534].end 14134.139
transcript.whisperx[534].text 我們有沒有相對應的措施我們掌握的狀況如何我們對於巨大這個部分的我們最重要本土的產業我們有沒有提出相對應的幫助美國有沒有提出相對應的證據這個部分我希望部長在這邊承諾你會關心此件
transcript.whisperx[535].start 14135.72
transcript.whisperx[535].end 14152.278
transcript.whisperx[535].text 是一定會一定會因為我們從第一天開始跟巨大就有一個很好的他的法務部門跟他的律師也好都有跟我們非常好的最後十秒日本前首相石破茂對美國施壓他們是直接有勇敢的勇氣
transcript.whisperx[536].start 14153.559
transcript.whisperx[536].end 14162.085
transcript.whisperx[536].text 但我們有沒有部長你一定要有也要告訴行政院我們現在的所有團隊應該要守護我們本土產業立足台灣是第一步好 謝謝謝謝羅廷輝委員針對羅委員後面的幾個問題巨大的問題再請部長詳細的跟委員來做答覆OK 好 謝謝接下來請張士綸委員來發言 謝謝
transcript.whisperx[537].start 14184.485
transcript.whisperx[537].end 14191.248
transcript.whisperx[537].text 好 謝謝主席 各位委員 各位官員 大家好我們有請內政部劉部長跟警政署張署長還有我們張署長
transcript.whisperx[538].start 14208.175
transcript.whisperx[538].end 14233.64
transcript.whisperx[538].text 長委員好部長好 署長好這次有關於中央政府因應國際情勢強化經濟社會民生國安任性特別預算這次總共政府編得滿大的預算可是我想要請教內政部的部分就是說第一次在編列預算的時候那時候還有台電的預算後來被刪掉預算的時候後來當時內政部編列只有這個
transcript.whisperx[539].start 14235.781
transcript.whisperx[539].end 14262.464
transcript.whisperx[539].text 50億的這個老屋修繕的經費可是為什麼後來增加了62億相關的經費那這樣的經費編列下來是不是有點臨時有點趕鴨子上架那當時怎麼樣做這樣的評估因為我有拿到就是說你們這個有在9月11號相關的這個特別預算的一個編列的一個說明其實裡面很多
transcript.whisperx[540].start 14264.328
transcript.whisperx[540].end 14281.518
transcript.whisperx[540].text 裝備的規格都還沒有訂定清楚以及還是連這個顧問團隊都還在整建當中還要等補助辦法核定以後顧問團才會來申請輔導等等這些問題我在想這裡面包含了很多的有關於公共建築
transcript.whisperx[541].start 14282.538
transcript.whisperx[541].end 14296.314
transcript.whisperx[541].text 還有防災以及我們警政相關的買的這些預算是不是到現在我們還沒有統整好到底要編列什麼樣的買什麼樣的東西可是預算就已經先編列追加62.5億是不是可以請部長說明一下
transcript.whisperx[542].start 14297.775
transcript.whisperx[542].end 14322.351
transcript.whisperx[542].text 報告委員我想您可能會非常了解第一個我們內政部的警政署在處理有關防恐危安或者是防災協作的部分我們是跟地方一起配合因為防災協作中心是每個村裡所以說所要配備的這些設備的部分我們需要一點時間去統整那麼統整出來之後就把它納進去請求行政院同意我們這樣的預算統整的內容我請警政署長跟你做一個很簡單的說明好嗎好 謝謝
transcript.whisperx[543].start 14324.933
transcript.whisperx[543].end 14345.063
transcript.whisperx[543].text 報告委員對於這個防恐這個部分我們對於這個維安特警的這些的一個裝備跟設備我們都已經做有做統整好了所以這個預算是根據統整的這個相關的設備跟數量這些相關的這個預估都已經做統整那至於就是比較大部分的就是用在關鍵基礎設施的這一個
transcript.whisperx[544].start 14347.984
transcript.whisperx[544].end 14372.278
transcript.whisperx[544].text 這個相關的設備這個部分大概金額是比較多一點的那這個可以涵括大概八十幾處的全國的關鍵基於設施是要建置無人機的一個偵測跟反制的一個系統這是一個固定型的一個設備這個也是經過我們中山科學研究院的這個整個相關設備的估的相關的這一些的設備的價錢也都有做統整的
transcript.whisperx[545].start 14377.261
transcript.whisperx[545].end 14398.982
transcript.whisperx[545].text 請教署長一下就有關於這些不管保一總隊增加了12億的採購防衛裝備跟直通環境等等以及關鍵基礎設施有21億採購無人機通訊設備跟防衛裝備等等這些東西我在講因為其實台灣我們在去年在審預算的時候其實有全社會防衛任性等等相關的預算
transcript.whisperx[546].start 14400.023
transcript.whisperx[546].end 14410.414
transcript.whisperx[546].text 那這些預算跟你現在追加的這些特別預算你們怎麼去做一個大概整體的一個分配跟委員報告一下就是比如講像21億的這個關鍵基礎設施這個的一個設備是屬於目的事業主管機關這個對於駐地
transcript.whisperx[547].start 14418.543
transcript.whisperx[547].end 14429.936
transcript.whisperx[547].text 這個駐地的一個整體的一個安全防護是一個基礎性的工作而且是在世界各國都有這樣的一個建制那我想就是在這個國土韌性在關鍵基礎設施的這個區塊來做這樣的一個
transcript.whisperx[548].start 14435.061
transcript.whisperx[548].end 14458.937
transcript.whisperx[548].text 架構式的一個建制這個對未來是灰色地帶或者是臨時的一個狀況是有這完整的一個整備那這個部分我有特別到那個南港的這個國防展去看世界各國包括現在的俄烏戰爭或者是以色列這一些的一個設備人家早就已經建好了所以我們要在維繫我們游水電訊的這些關係的時候
transcript.whisperx[549].start 14462.625
transcript.whisperx[549].end 14486.63
transcript.whisperx[549].text 目前我們最難防的就是無人機的這個入侵所以我們利用這個國土安全認證這個機會把這個完整的設施在這個關鍵室把它設置好這個應該是對我們的這個未來的這個穩定這一方面的一個安全維護是有非常重大的一個一個一個一個措施做跟委員報告那我想就是
transcript.whisperx[550].start 14488.45
transcript.whisperx[550].end 14499.205
transcript.whisperx[550].text 各位希望委員能夠支持這樣的一個長治久安的一個工作而且是跟世界上的一個目前的這個接軌我想這個部分也給委員做一個補充的報告
transcript.whisperx[551].start 14500.789
transcript.whisperx[551].end 14517.616
transcript.whisperx[551].text 謝謝署長當然我們不管寶一或是我們一些關鍵基礎設備要買預算我們都是支持只是我們說一開始當時第一時間沒有編列在特別預算是後來才加進來讓我覺得比較奇怪這個不一樣因為寶二的這個關鍵設備那個是在於個人的裝備
transcript.whisperx[552].start 14521.858
transcript.whisperx[552].end 14545.807
transcript.whisperx[552].text 個人的裝備的部分我們就在這個我們的那個一般的預算裡面來做這個針對是駐地的駐地的固定的跟人的沒有關係最後署長是不是可以拜託因為我們辦公室有去說想要去索取相關你們到底要買什麼有沒有重複或者是買的這個數量規格現在目前都還沒有規格的部分我想因為有的預算沒夠規格就沒辦法現在就提出這個規格
transcript.whisperx[553].start 14549.008
transcript.whisperx[553].end 14573.166
transcript.whisperx[553].text 沒有 最後還是要拜託署長一般來講編列預算應該是要規格那些都出來計劃都出來以後才能編列預算我們是有估我們是有估這一些相關設備的這個大概的這個單因為像比較大概就是中章科前面的有一個標準的模式你再到辦公室跟詹委員討論好不好好 那我們就是不是再跟委員在辦公室再做詳細的說明好 謝謝署長 謝謝部長謝謝詹委員 謝謝接下來我們請陳俊宇委員發言
transcript.whisperx[554].start 14584.55
transcript.whisperx[554].end 14602.426
transcript.whisperx[554].text 陳俊宇委員陳俊宇委員不在接下來我們請徐欣英委員謝謝主席本席有請勞動部長還有衛福部長
transcript.whisperx[555].start 14604.87
transcript.whisperx[555].end 14606.071
transcript.whisperx[555].text 勞動部次長 副部長請假勞動部次長陳次長
transcript.whisperx[556].start 14614.435
transcript.whisperx[556].end 14634.521
transcript.whisperx[556].text 還有衛福部是嗎徐委員衛福部 衛福部那個呂次長抱歉 洪部長在衛環兩位都次長那首先勞動部的部分昨天在院會施政總質詢的時候本席有特別問到院長那部長有特別講說我們這個150億支持安定就業的部分
transcript.whisperx[557].start 14641.723
transcript.whisperx[557].end 14660.558
transcript.whisperx[557].text 有很多的这个课程除了补贴给劳工还有一些课程那我想请教有关相关的课程内容你们请的讲师的资格他教学内容的水准谁把关
transcript.whisperx[558].start 14661.509
transcript.whisperx[558].end 14681.355
transcript.whisperx[558].text 跟委員報告 就是我們勞動部在這一次特別條例的邏輯上講重點啦 因為我只有五分鐘好 不好意思 相關的課程其實我們平常在勞工的充電訓練相應訓練本來就有一定的機制要求你就是用平常的師資不是 我們本來就有一定的機制要求包括那個辦訓的單位要符合我們TTQA時的一個辦訓的品質
transcript.whisperx[559].start 14683.496
transcript.whisperx[559].end 14710.703
transcript.whisperx[559].text 然后他提供办讯的相关的课程内容都需要经过我们的同意所以师资上我们都会去做把关我也会这一次这150亿你有没有再把关还是你就是用以前的师资不是 我跟委员报告就是说大家一直都误会说我们跟平常的业务混在一起其实不是这样看应该这样说劳动部的劳动力发展署本来对于职业训练就业服务就是我们平常的核心工作
transcript.whisperx[560].start 14711.203
transcript.whisperx[560].end 14738.493
transcript.whisperx[560].text 但是这一次没有 你就告诉我你师资的资格你怎么审查有没有审查有有审查我们会要求一定的师资好 你公开审查记录可否公开这个当然可以这个公开资讯都是可以的但是我要跟我们报告就是说我们其实相关的训练课程班级各方面都有很多教学内容的水准你怎么把关你上课有没有管考
transcript.whisperx[561].start 14739.313
transcript.whisperx[561].end 14749.24
transcript.whisperx[561].text 譬如說他到客率 滿意度然後也有相關資料上課一定要有足夠的到訓率否則我們就不會付這個錢訓練之後我們當然還會做品質滿意度的相應的調查如果是我們的相應的職業訓練我們還會看訓後的就業率其實這邊都有一整套的機制在做處理之後再提供給我們辦公室可以嗎是 謝謝
transcript.whisperx[562].start 14766.853
transcript.whisperx[562].end 14779.907
transcript.whisperx[562].text 接著本席想 次長您請留步因為後面還有共同的題目呂次長想請教因為部長在院會總質詢的時候特別講你們兩年內要訪視70萬個獨居老人對 沒錯
transcript.whisperx[563].start 14783.931
transcript.whisperx[563].end 14808.278
transcript.whisperx[563].text 那一年要35萬你的人力在哪裡報告委員我們現在目前這個部分我非常感謝內政部的這個協助我們這個部分會跟內政部這邊我們會請村里長跟村里幹事他來協同我們一起去做這一個整個所以村里長 村里幹事不用培訓他們就自然知道你們的訪視只是去看一下人是不是報告委員因為老實說我們要進去訪視
transcript.whisperx[564].start 14809.958
transcript.whisperx[564].end 14816.606
transcript.whisperx[564].text 我也知道現在目前大家也很怕那個會有詐騙所以一定要村里長所以有搭配內政部內政部這個村里長的部分但是我們這邊也會有專責的專責的就是這個訪視人員訪視人員進去所以你們盤點了嗎盤點了嗎大概要多少人一年35萬的獨居老人你要多少人力有盤點嗎這個部分
transcript.whisperx[565].start 14829.858
transcript.whisperx[565].end 14851.65
transcript.whisperx[565].text 我們會跟內政部那邊我們會來跟他們還沒有盤點這個預算怎麼編出來的包委員 我們現在目前我就成如跟委員說就是說我們現在目前主要是村里長這邊我們會編那個就是說這個訪視費讓他們陪同所以是村里長搭配林長對 林長沒有 就村里長對 村里長還有村里幹事
transcript.whisperx[566].start 14853.187
transcript.whisperx[566].end 14881.628
transcript.whisperx[566].text 所以你們是打算用這樣的方式對 沒錯就一定報告委員這一定要透過跟民政這邊的這一個大家共同合作這樣才能夠有一個整個通盤我跟委員報告了那你還有加強送餐關懷對 沒錯還送餐關懷那這個是經費再補貼嗎對 報告委員我們現在目前就是說那個整個獨居的這個長輩他現在盤出來我們會分輕 中 重那主要是重度的部分的話我們才需要有這個所謂的送餐服務
transcript.whisperx[567].start 14882.048
transcript.whisperx[567].end 14900.382
transcript.whisperx[567].text 最後40秒我想請教兩位次長你們的媒體宣傳費這次編太多了吧勞動部編了4000萬衛福部編了3253萬4000元告訴我用在哪裡我跟委員報告第一件事情就是說特別預算是編到兩年
transcript.whisperx[568].start 14902.122
transcript.whisperx[568].end 14924.49
transcript.whisperx[568].text 目前十月兩年三個月的時間那並不是今年三個月用在哪裡第二個部分是我們其實勞動部就既有的管道我們都是動用自己的同仁去做相應的部分再處理但是我們過往去下鄉去跟工會座談去跟僱主座談去跟勞工座談他們都覺得還是要加大相應的力道所以我們評估的結果在既有的
transcript.whisperx[569].start 14924.99
transcript.whisperx[569].end 14944.945
transcript.whisperx[569].text 劳动部的官网 YouTube这些既有的管道其实没有办法接触到所有不同受影响的产业类别的劳工和受种所以我们才会去核实的去编列相应的经费真的没有很清楚你再书面给我我们给吕次长回答完好不好
transcript.whisperx[570].start 14945.345
transcript.whisperx[570].end 14974.476
transcript.whisperx[570].text 非常简要因为我也知道独居长辈独居老人他的那个沟通管道还有沟通媒体跟我们一般人不太一样那他们很多其实事实上可能在家里所以我们需要透过很多比如像广播还有像电视等等这些方式来跟这些你不是都已经村里长配合了所以你们这个钱真的编了过度那个市长你详细用书面打过去详细用书面好好好感谢非常感谢许委员谢谢您的关心谢谢许委员好
transcript.whisperx[571].start 14975.636
transcript.whisperx[571].end 14994.131
transcript.whisperx[571].text 接下來我們請黃建斌委員黃建斌委員不在接下來我們請林俊憲委員林俊憲委員不在接下來請李博義委員
transcript.whisperx[572].start 14998.809
transcript.whisperx[572].end 15024.451
transcript.whisperx[572].text 來有請內政部劉部長跟國土署吳署長劉部長 國土署吳署長抱歉 我用很快的時間要趕快來說明一下部長你慢慢走就好了我看到這個揮打決定在北市科的這個問題看到台北市政府問內政部內政部其實很快速的回應這些內容我想台灣不管是中央政府或者是地方政府
transcript.whisperx[573].start 15025.271
transcript.whisperx[573].end 15040.916
transcript.whisperx[573].text 我們其實對於揮達座落台灣設立總部我們是高度表達支持的那我看到內政部是非常積極的在回應那我們這邊也表達肯定之外那我也想要舉高雄為例TSMC從高雄
transcript.whisperx[574].start 15041.816
transcript.whisperx[574].end 15069.767
transcript.whisperx[574].text 土屋整治到第一片二奈米量产出来不到五年的时间我想在这边也对辉达喊话台湾的政府还是会有效率的尤其高雄市政府我们会极力的来促成如果北市科真的台北市政府跟新光这边的协调有问题的话高雄市很乐意来协助这边以上简单的跟内政部做这样的表达因为现在交通部门正在
transcript.whisperx[575].start 15070.627
transcript.whisperx[575].end 15085.896
transcript.whisperx[575].text 也在質詢包含高雄市的捷運子線高雄航空城等等的議題我必須要趕快趕過去但是對於這個特別預算我必須要表達我們中央目前行政院
transcript.whisperx[576].start 15086.576
transcript.whisperx[576].end 15106.829
transcript.whisperx[576].text 所提出來的包含內政部老宅的部分我這邊高度表達支持我的選區裡面希望可以套用到國貿社區相關的這些公共建設可以在這個老宅延壽方面可以真正的落實照顧到國貿社區另外對於國防部海巡署也就是海委會
transcript.whisperx[577].start 15107.509
transcript.whisperx[577].end 15135.255
transcript.whisperx[577].text 相關的這些國防預算我們也希望給予高度的支持跟表高度的支持另外教育部對於投資下一代以及經濟部跟勞動部對於產業勞工相關的這些議題我們在這裡也表達高度的支持以上其他再請書面的書面報告書面質詢給予行政院再請行政院各部會予以回應謝謝好我們謝謝李博弈委員謝謝
transcript.whisperx[578].start 15138.561
transcript.whisperx[578].end 15144.325
transcript.whisperx[578].text 好 簡單扼要好 接下來請邱志偉委員好 謝謝主席 先請經濟部龔部長好 請龔部長
transcript.whisperx[579].start 15162.434
transcript.whisperx[579].end 15184.648
transcript.whisperx[579].text 第一個問題請教您就是這個台積電二奈米在那個男子產業園區預定設立五個廠所有的進度都在時序上面每一廠都會按照進度來進行還有稍微提前代表說市政府的效力跟決心只要有心
transcript.whisperx[580].start 15185.549
transcript.whisperx[580].end 15199.278
transcript.whisperx[580].text 就會有成只要沒心什麼事情都不會成剛師傅就是有心有決斷力有執行力媒體頭版報導1.4奈米也可能在高雄您的訊息怎麼樣
transcript.whisperx[581].start 15201.066
transcript.whisperx[581].end 15227.942
transcript.whisperx[581].text 那個可能是第六場喔我知道不過他們明天這樣寫1.4奈米不可能空穴來風那你一定是這個訊息中人那個可能還是有台積電來對外說明比較好還是有台積電對外說明比較好你了解的訊息跟媒體所揭露的方向有沒有一致我也是看媒體包裝雜誌有揭露說有第六場這個訊息是真的我做夢都會笑對
transcript.whisperx[582].start 15230.57
transcript.whisperx[582].end 15256.046
transcript.whisperx[582].text 這個代表說先進製程在台灣的高雄成為最先進製程的製造中心是 現在兩奈米就已經在高雄量產所以我期待國務長再推一把勁如果有適當的場合再跟台積電推薦再請他們能夠把1.4奈米的第六廠也設在高雄
transcript.whisperx[583].start 15256.98
transcript.whisperx[583].end 15275.438
transcript.whisperx[583].text 那高雄不見得要在南直在白埔也不錯你聽我意思嗎我知道好謝謝這個部長那接下來內政部劉部長休息一下劉部長休息請警政署署長張署長
transcript.whisperx[584].start 15279.093
transcript.whisperx[584].end 15287.655
transcript.whisperx[584].text 這個國家的安全跟這個出入境的管制很重要所以您三位包括部長 包括兩位署長一個是這個官務的檢查
transcript.whisperx[585].start 15307.13
transcript.whisperx[585].end 15328.481
transcript.whisperx[585].text 一個是行李安檢的檢查 國人出國第一個 安檢最重要 安檢必須要確實我們在出國旅行難得安心跟放心出國人數那麼多 如果安檢不確實 不到位留意形式或者安檢設備落後老舊
transcript.whisperx[586].start 15330.54
transcript.whisperx[586].end 15359.544
transcript.whisperx[586].text 所以我看過這個安檢設備你不用比日韓日韓三線的城市都比台灣的安檢設備好太多了比起這個東南亞城市 東南亞國家我們還是第一 倒數第一這個安檢的設備怎麼會落後到這種程度都要人工去搬運甚至在看這個螢幕的航行人員還要去協助搬運人力不足是長期以來的問題不是你當署長才有的
transcript.whisperx[587].start 15360.748
transcript.whisperx[587].end 15370.941
transcript.whisperx[587].text 所以你要跟部長反應你要跟院長反應 跟總統反應國軍的安檢很重要一有閃失整個飛機都會受到安全的影響
transcript.whisperx[588].start 15372.867
transcript.whisperx[588].end 15398.093
transcript.whisperx[588].text 外國旅客也沒有信心 我看這國家悶悶的這樣一條線一個航警局的同仁在看monitor而且要看得確實 我希望要兢兢業業看得確實你們看到一半又起來 又幫忙搬那個行李這個行李是外面的保全公司如果行李看起來monitor有異議要打開行李檢查 誰檢查 那個署長
transcript.whisperx[589].start 15400.779
transcript.whisperx[589].end 15426.835
transcript.whisperx[589].text 我們的警察 現狀是嗎現狀不是 現狀是保全公司在檢查還有碩國專業訓練嗎你要去現場看一下所有機場我都幫你巡視過了松山 桃一桃二跟小港安檢一定要很重視當作一回事很重要的事情這跟國家安全 國家安全是國家任性
transcript.whisperx[590].start 15428.393
transcript.whisperx[590].end 15442.68
transcript.whisperx[590].text 如果外國官方看到 哇 這是安檢 台灣的安檢他們會怕怕的所以人員一定要補足 設備要更新我今天有提案你要有一個設備更新的時程全亞洲倒數第一名的安檢設備就是中華民國我很不客氣這樣講 你去現場看一下
transcript.whisperx[591].start 15454.526
transcript.whisperx[591].end 15481.053
transcript.whisperx[591].text 人員人力不足 行政人員也吵到要死太吵他會打架 他要怎麼好好看所以說你有 你要把它當作一回事來看另外 關務署 旅客回國關務署的同仁 主席再給我一分鐘關務署的同仁 大批旅客出國我看到大概兩名在那邊 就是免報關稅的
transcript.whisperx[592].start 15483.575
transcript.whisperx[592].end 15486.937
transcript.whisperx[592].text 非洲豬瘟固然把守很重要
transcript.whisperx[593].start 15502.625
transcript.whisperx[593].end 15527.378
transcript.whisperx[593].text 但你要看看它的效益如何我只請教你這個問題我們國家花2億去請保險公司保險公司的預算比安檢的預算人員還多比方昨天兩條線配置20個人員他只不過把行李放過來再經過X光機這些保險公司的同仁還有這個專業去判斷哪些是違禁品嗎
transcript.whisperx[594].start 15529.286
transcript.whisperx[594].end 15551.693
transcript.whisperx[594].text 其他的都協助行李搬運一天要少十倍 兩天要少二十倍有需要動用那麼多的國家經費嗎為了能力不縮減把這個能力再撥給警政署呢我不是不支持你們的政策但是我支持你們的政策你們把錢放在刀口上不要留意情勢 不要留意浪費部長你回應一下
transcript.whisperx[595].start 15555.342
transcript.whisperx[595].end 15571.998
transcript.whisperx[595].text 我先跟委員說明一下就是有關於我們進口針對非洲豬瘟的這些檢查的部分然後在手提行李我們現在上次委員有提到就是不能完全用保全能源一定是我們有配注的能源沒有 你們房檢署我每次去沒有一個房檢署你調清室去看看
transcript.whisperx[596].start 15572.739
transcript.whisperx[596].end 15596.719
transcript.whisperx[596].text 然後另外沒有一個防檢局人員在那邊全部都是我在那邊站著看了一分鐘沒有一個你們這個農業部的同仁這個部分我想我會再來去了解他們回報是說他們有正式的桃園分屬的獨島人員在那邊我跟你講我初也算是平板我很認真去看
transcript.whisperx[597].start 15598.686
transcript.whisperx[597].end 15627.804
transcript.whisperx[597].text 沒有一個防警局人員全部都是這個大部分人力是在怎麼樣在協助搬運行李你何必那麼多人去協助搬運行李呢部長 這個政策確實值得講而且很多人可能反映為什麼還要再加安檢一次意義在哪裡 成效如果真的有成效每次都造成塞車如果有成效你跟我講你把數據提供給我沒有成效為什麼要你一年要花兩億邱委員 請大家把用書面詳細給你做報告好不好書面我都看過好幾次
transcript.whisperx[598].start 15629.522
transcript.whisperx[598].end 15644.373
transcript.whisperx[598].text 在座好不好 你最近看的結果看得怎麼樣我想跟委員報告我也知道就是說在增加觀光人潮的時候它的確是一個關卡但是現在我們在國內的部分因為還是有除以
transcript.whisperx[599].start 15646.035
transcript.whisperx[599].end 15661.191
transcript.whisperx[599].text 養豬 那有廚餘養豬它的風險就必須要去處理那你這個政策要執行到何時所以相對的就是我們現在在整個跨部會在討論的時候我們也希望說逐步的把這個廚餘禁養禁用廚餘我問你嘛 很簡單你的政策要執行到何時嘛
transcript.whisperx[600].start 15662.568
transcript.whisperx[600].end 15671.21
transcript.whisperx[600].text 因為用廚餘養豬這個東西必須跟業者在溝通特別在桃園地區有很多廚餘養豬的部分另外這個張署長還有這個彭署長就你們執行面你們要求同仁 戰戰兢兢的時間超過太多了我們再10秒要戰戰兢兢的執行公務要讓旅客安心 讓國人安心
transcript.whisperx[601].start 15687.914
transcript.whisperx[601].end 15694.316
transcript.whisperx[601].text 然後業務在執行的過程中一定要很認真邱委員你的問題署長都聽到了我們加強執行好不好謝謝邱志偉委員 謝謝接下來請王美惠委員
transcript.whisperx[602].start 15709.867
transcript.whisperx[602].end 15720.233
transcript.whisperx[602].text 主席 我們現在內政部部長還有消防局長還有國土署署長消防署吧 消防署啦消署長 國土署務署長
transcript.whisperx[603].start 15732.631
transcript.whisperx[603].end 15741.72
transcript.whisperx[603].text 法定人數不足因為可以知道有幾個案件我們的內政不白領起因為我覺得在這個單位聯席畢竟我們內政委員會的報告也好會有更重要的結果因為這個議程我們要趕緊來處理趕緊幫助
transcript.whisperx[604].start 15759.001
transcript.whisperx[604].end 15760.926
transcript.whisperx[604].text 需要經費的地方當歸來這段期間很可憐
transcript.whisperx[605].start 15767.742
transcript.whisperx[605].end 15789.918
transcript.whisperx[605].text 本學要跟你談到的就是說我們最近有臨部分中央還是地方我們有一個協助單位在今年的時候三月我們就有成立了在這個成立當中本學是要跟你說我們如果經過
transcript.whisperx[606].start 15791.758
transcript.whisperx[606].end 15801.109
transcript.whisperx[606].text 台南和嘉義以前的風態到現在花蓮的災害在這個三個星期到現在北京你認為這個協助單位的中心
transcript.whisperx[607].start 15809.358
transcript.whisperx[607].end 15816.387
transcript.whisperx[607].text 有對這次這兩三個地方的災害有什麼幫助嗎 補充你回答一下報告委員 我相信我們要做最大的併顧我們該做防災協作中心其實基本上本來就是鄉鎮公所還是區公所
transcript.whisperx[608].start 15827.981
transcript.whisperx[608].end 15832.847
transcript.whisperx[608].text 但是我們防災協作中心是要加強防災韌性所以這邊特別醫生裡面我們的防災協作中心就是要加強每一個鄉鎮公所 區公所家他們所需要的設備譬如說緊急發電機或是相關的搶救的這些部分要給防災協作中心另外一個比較重要是我們想要
transcript.whisperx[609].start 15849.245
transcript.whisperx[609].end 15870.124
transcript.whisperx[609].text 安排替代役如果有碰到天災的時候呢他們可以到現場來幫忙可以解決現在鄉鎮公所如果有碰到比較大型的天災的時候呢人力上派遣的不足啦這另外這是現役的替代役但是以後我們也會去幫忙可以做備役替代役所以人力的資源
transcript.whisperx[610].start 15870.785
transcript.whisperx[610].end 15883.576
transcript.whisperx[610].text 或是物力的整備讓我們的防災協作中心未來可以更具有這個安全上的韌性的話是我們在這一次特別預算裡面所編列雖然不多可以加強的部分普通 你說到說到重點
transcript.whisperx[611].start 15887.517
transcript.whisperx[611].end 15891.201
transcript.whisperx[611].text 不多啦 聽起來他算十五億啦聽起來你會覺得很多 但是你來分配一個單位十出頭盤啦 十出頭盤他買什麼啦
transcript.whisperx[612].start 15903.493
transcript.whisperx[612].end 15908.539
transcript.whisperx[612].text 所以北京本身會跟你說出這裡的單位就是希望未來的時針我們可以更加充足的設備給他啦因為我感覺聽起來說五十五億覺得很多的 跟你分配
transcript.whisperx[613].start 15922.336
transcript.whisperx[613].end 15929.342
transcript.whisperx[613].text 兩百七十倍的所在對啊 所以沒多少所以這個你未來 要再加強是 問得很清楚 醫生保庭本身要跟你說 老債的問題老債你有變一個五十億的五十億聽起來也覺得很多但我自己來說
transcript.whisperx[614].start 15943.857
transcript.whisperx[614].end 15948.803
transcript.whisperx[614].text 還有六千多人是三十黨以上的老齋在這個過程當中 我覺得我們全台灣
transcript.whisperx[615].start 15956.684
transcript.whisperx[615].end 15963.066
transcript.whisperx[615].text 在老齋裡面應該是很多的所以在這50億來分配的時候也會很少的所以我希望未來的時候改變局 改變因為我覺得應該要你先去審這件事再來在公寓的時候你們要未來看要怎麼改進在這樓以下如果沒有委員會的時候
transcript.whisperx[616].start 15985.011
transcript.whisperx[616].end 16008.894
transcript.whisperx[616].text 要讓大家有權利的人都要回應所以都尋找不到中央的補助所以補償也好 輸償也好未來我們這一定要一路進展讓大家看到中央的政府的用心和對應的合作所以我們這個公寓
transcript.whisperx[617].start 16009.714
transcript.whisperx[617].end 16017.196
transcript.whisperx[617].text 可以變心變好不要讓人覺得更堅固的公寓更不適合他的主觀這樣就不好了所以以上我希望我們的市長和部長這段時間非常辛苦但是辛苦的當中要去研議法令也是要去研議以上謝謝
transcript.whisperx[618].start 16037.216
transcript.whisperx[618].end 16047.641
transcript.whisperx[618].text 好 謝謝王美惠委員 謝謝接下來請牛許 蔡議員抱歉 蔡委員請謝謝張偉那我們是不是有請教育部好 請教育部 鄭部長
transcript.whisperx[619].start 16067.657
transcript.whisperx[619].end 16069.099
transcript.whisperx[619].text 委員好 部長好
transcript.whisperx[620].start 16079.98
transcript.whisperx[620].end 16084.644
transcript.whisperx[620].text 部長我們這一次在處理這個特別預算那是針對所謂的關稅造成台灣的衝擊讓我們虛妄編列特別預算然後來強化我們台灣的競爭力那特別在教育部這邊抓了200億那這中間有包括維持大學的基本的一些
transcript.whisperx[621].start 16105.384
transcript.whisperx[621].end 16121.223
transcript.whisperx[621].text 運作 減少說去學費的一個漲價那也有說另外也有針對大學的部分他們如何去吸引就是說大學要吸引更多的教師的人才那還有一個就是產官學合作那我想要請教因為
transcript.whisperx[622].start 16123.025
transcript.whisperx[622].end 16142.719
transcript.whisperx[622].text 不管是吸引新的大學的人才教師的人才或者是產官學合作光是這樣的經費也高達一百億要分為八十跟二十億所以經費算是很多所以我想聽話補充你們具體上要怎麼去運用一百億
transcript.whisperx[623].start 16143.419
transcript.whisperx[623].end 16158.013
transcript.whisperx[623].text 然後達到了我們所謂未來台灣的企業可以因為我們這一百億讓大學端有培育出更多的人才然後在不同的一個企業的應用上讓他們找到他們愛的人我想要聽聽布丁你要怎麼來操作
transcript.whisperx[624].start 16161.864
transcript.whisperx[624].end 16176.375
transcript.whisperx[624].text 謝謝委員的關心確實我們現在其實以科技產業那麼的一個興盛我們不僅是大概台城青膠連台城青膠在許多理學院工學院的師師都是這一個拼不到的
transcript.whisperx[625].start 16176.815
transcript.whisperx[625].end 16187.841
transcript.whisperx[625].text 那簡單來講我們會看到整個高等教育人才上的一些這一個世代的一個交替比如說在102年我們看到台灣系導計畫的時候當時進來的這些電子電機資訊的資工的這些的實施大概在
transcript.whisperx[626].start 16194.77
transcript.whisperx[626].end 16215.531
transcript.whisperx[626].text 十年後至少會退六成我們擔心台灣在未來的產業的支撐力量擔心台灣的人才未來在許多有學生讀理學院 讀工學院但是我們可能沒有一個足夠好的施肢去培養人才包含支撐我們產業的一些力量就是人才不要給斷層所以老師也很重要
transcript.whisperx[627].start 16218.474
transcript.whisperx[627].end 16242.41
transcript.whisperx[627].text 企業讓他們導入然後在這個學程的過程讓企業導入也重要所以你們是不是就會成立更多的類似一些學程然後讓企業界去一起來訓練學生這些學生一旦畢業後就可以馬上到這些企業去做就業產官學合作差不多都是這樣改良因為我們過去跟委員報告我們過去產業確實在產學合作比較少捐贈去成立一個講座我們希望透過
transcript.whisperx[628].start 16248.514
transcript.whisperx[628].end 16267.648
transcript.whisperx[628].text 這一個產業為了他也需要人才那麼我們怎麼樣接種產業的一些許多他企業的社會責任包含這一個大學的人才的培育能夠產業也能夠兼正五千一億成立講座這個講座是成立一個基金部長 我想要說講座你覺得這樣的火候夠嗎
transcript.whisperx[629].start 16272.972
transcript.whisperx[629].end 16287.742
transcript.whisperx[629].text 你還不如直接把它進入說我就是要開類似這樣企業所需要的一個學程 學分你直接把這樣把它開出來你單用一個講座的也許對學生來說他只是去聽課他未必是他會列為他學習的
transcript.whisperx[630].start 16288.943
transcript.whisperx[630].end 16305.775
transcript.whisperx[630].text 人才培育包括尖端人才的延攬因為我們現在持平了大學的許多的能量用我們的公務預算持平要支撐一個比較高階的一些研究我們其實希望產業能夠也辦理一定的責任產業加入這個是要的
transcript.whisperx[631].start 16307.236
transcript.whisperx[631].end 16332.519
transcript.whisperx[631].text 但是我更希望的是說因為現在這個產業跟我們過去傳統的過去幾年我們對於所謂我們台灣變成系的一個產業就是所謂晶圓的一個產業基本上我們都有一些概念可是現在的進步又不一樣了現在AI的時代跳的速度太快了所以可能有一些產業他們現在的一些技術已經在大學端這邊沒有跟上
transcript.whisperx[632].start 16333.5
transcript.whisperx[632].end 16355.485
transcript.whisperx[632].text 如果要讓大學端這邊可以來跟上的話由企業他們直接進入大學去開說我們現在比方說現在有矽光紙的產業現在有所謂AI應用的產業現在有所謂無人機的材料的產業如果我們可以讓大學端跟企業做更好的結盟
transcript.whisperx[633].start 16356.565
transcript.whisperx[633].end 16364.319
transcript.whisperx[633].text 我想這個讓未來培養出來的人都是企業想要的人跟委員報告委員的想法跟我們在這個產業合作事實上是有
transcript.whisperx[634].start 16365.151
transcript.whisperx[634].end 16392.019
transcript.whisperx[634].text 亦許同工也就是說我們看到來自於醫學院的一個人才的model醫學院的教授在醫學院教書但是他臨床裡面他也看診他有兩分的一個薪水一個來自於所謂的醫院一個來自於所謂的大學我們也希望用這樣能夠讓企業的這些尖端人才也來跟大學合作我們有提一個類醫學院的這樣一個model部長我接下來可能會跟我們嘉義的幾家大學
transcript.whisperx[635].start 16392.759
transcript.whisperx[635].end 16409.274
transcript.whisperx[635].text 可能會跟我們教育部這邊我們來計劃一些方案我覺得現在大學端他們也跟企業也有在談那這個談的希望說未來訓練出來的更多是屬於現在新的AI新的一些科技的一些人才
transcript.whisperx[636].start 16410.355
transcript.whisperx[636].end 16434.42
transcript.whisperx[636].text 大學有希望做我希望我們教育部又有這個特別預算應該來支持這一塊讓他們要做的時候更加的有資源我想不僅尖端科技在人文社會各個領域裡面的人才我們都樂意在希望在這裡為台灣一個高教人才的勇氣的一個培育跟發展能夠有一個穩定的力量那我想這特別預算教育部的部分我覺得大家會支持就希望未來我們就要好好來做
transcript.whisperx[637].start 16436.58
transcript.whisperx[637].end 16442.582
transcript.whisperx[637].text 這樣好不好謝謝委員好 謝謝好 謝謝蔡宇委員的諮詢接下來請劉許廷委員謝謝主席內政部國土署有請好劉部長還有吳署長委員好
transcript.whisperx[638].start 16464.839
transcript.whisperx[638].end 16480.764
transcript.whisperx[638].text 吳總委辛苦了我們在討論特別預算其中跟內政部有關大家也都關心當然就是所謂的老宅延售政策這個政策方向上當然是一件好事但針對內容上本席有一些想法跟內政部這邊來做一下交換
transcript.whisperx[639].start 16481.924
transcript.whisperx[639].end 16503.675
transcript.whisperx[639].text 這一次針對老宅延售的五十億基本上是針對三十年以上四到六樓也就是所謂的五樓公寓為主的這樣一個建築來進行整理跟補助對不對對還有地震要先做一個耐震補強等等那我想要請問劉部長你覺得預算執行的你有多大把握可以全部執行完畢
transcript.whisperx[640].start 16504.246
transcript.whisperx[640].end 16524.589
transcript.whisperx[640].text 第一個我們設定的對象是500棟那500棟在未來的一兩年當中其實會比較容易達成是因為現在跟我們表達說有興趣的相當的多但是中間有些程序需要補足包括公益大廈管理條例裡面是不是適用的部分我們都會來做檢討現在大概本期有兩個問題第一個是這樣子就是說
transcript.whisperx[641].start 16525.512
transcript.whisperx[641].end 16554.481
transcript.whisperx[641].text 尤其是五樓公寓的狀況因為它當然沒有管委會嘛那你還是要經過一個內部的意見整合這樣一個機制幾乎都要百分之百同意啦對啦因為你有管委會的時候你還可以說我去全員開個會我就處理完了對不對我多出意見等等但是那五樓公寓你也很難有所謂的相關的機制嘛你變成是等於族戶要拿同意書的概念啦那這樣的話其中有一兩層他可能出租找不到屋主或者是說他有反對意見對不對那會不會造成這個政策治安難行
transcript.whisperx[642].start 16555.369
transcript.whisperx[642].end 16583.439
transcript.whisperx[642].text 會 所以我們現在已經針對這個有一些補充或是其他的辦法我是不是請署長跟你回應可以啊 署長你說明一下吧你怎麼樣去解決這個界面整合的問題感謝 因為首先來講就是說沒有管委會的部分我們會建議他從管理組織去組成就可以了就是說他不一定是供應大家所講的所以我們上次的修法裡面就把他從管委會再增加叫管理組織所以還要 你這是修法已經修法過了所以就鼓勵他們至少是一個管理組織
transcript.whisperx[643].start 16584.079
transcript.whisperx[643].end 16607.949
transcript.whisperx[643].text 我要問的處理這件事情總要有個人嘛就是說你要有個人去找人然後去收集這些東西請問你現在老宅延壽計畫的50億裡面跟人相關的有哪些人比如說我搞都更對不對我至少還有一個叫都更規劃師都更規劃師實務上當然也遇到很大障礙因為公信力可能不夠等等這當然另外有時間再來做探討但你今天老宅延壽會有一樣的狀況嘛
transcript.whisperx[644].start 16608.869
transcript.whisperx[644].end 16630.044
transcript.whisperx[644].text 都跟好歹有一個規劃師來穿梭行走效果都不見得好了那你現在這老宅延壽是誰要去處理這個事熱心的住戶嗎地方政府的專員嗎NGO嗎是什麼樣來處理呢對 是這樣因為我們之前就已經跟地方的建築師工會還有相關的這個都已經有開過他們都非常願意出來協助來處理這些事情
transcript.whisperx[645].start 16630.644
transcript.whisperx[645].end 16651.494
transcript.whisperx[645].text 包含這一個地方要成立管委會組織我們接洽過這些工會他們都願意出來第二個我們有給地方政府相關的顧問團隊的經費這部分也是他們可以用來協助社區來做整合的一些我是覺得這樣子的講法還是太模糊了因為我們要聽到的是比如哪一個協會 哪一些人可以直接來處理這個事
transcript.whisperx[646].start 16652.674
transcript.whisperx[646].end 16669.977
transcript.whisperx[646].text 我才能追蹤這個效果工會都有表達意願工會有表達意願但我覺得這不夠具體而且第二個你剛有講成立管理組織等等他也是需要行政作業流程跟時間嘛我們這個特別預算下去我當然希望看到效果嘛我別說下去沒有辦法很好執行或者是說中央確實有出錢可是地方上我受到的補助
transcript.whisperx[647].start 16670.638
transcript.whisperx[647].end 16697.855
transcript.whisperx[647].text 但我不見得能夠妥善的去使用這個你要追蹤一下啦是 這也會補充第二種好不好 有關介面整合的部分你會有提供一份書面報告我們要了解狀況第二個 日本市要做個建議啦我希望你們在處理這個政策的時候既然要花五十億對不對 特別預算你既然都如果介面整合問題可以解決你老宅最後要延燒我要讓它可長可久你是不是在這整合的過程我拿了政府的錢做了部分的修繕之後我也要去考量未來嘛我們現在公寓大廈我們都希望有長期修繕計畫
transcript.whisperx[648].start 16698.976
transcript.whisperx[648].end 16714.174
transcript.whisperx[648].text 那這些老宅延壽拿了政府補助的是不是也要有相關的人去輔導要把這相關的長期的修繕計畫來制定出來不能每次都是政府有資源有些有用到有些沒用到用完了就算了然後要等下一波資源這樣也不是辦法
transcript.whisperx[649].start 16714.835
transcript.whisperx[649].end 16736.337
transcript.whisperx[649].text 既然政府要下資源我就希望要有常委效應所以我希望政府在執行這個預算的時候你要有一些條件也就是說我除了要整合完之後既然都整合了大家就開個會一起把長期休戰計畫也要把它納入也許變成一個指標或怎麼樣讓這筆錢下去之後它才能夠真正達成延壽的效果這樣你下這個錢才會值得第二點是本期的政策建議
transcript.whisperx[650].start 16737.137
transcript.whisperx[650].end 16746.026
transcript.whisperx[650].text 這個我可以理解委員的用心就是說希望他們長期這個管理組織變成是一個長期可運作的成立管理組織會有修繕計畫就真的確定他後續有一些修繕的計畫或者是長期他會因此本來沒有再收管理費修繕費現在開始來運作來收你把這51當成一個開頭
transcript.whisperx[651].start 16755.615
transcript.whisperx[651].end 16769.308
transcript.whisperx[651].text 但他建立好的模式之後他也許會轉正嘛變成一個長期執行的計畫但他一定要有相關效果嘛讓最後每一棟五樓公寓他都有相關的修正案計畫這才是真正的老宅延壽了好不好這希望國務組用點心內政部用點心好嗎好 謝謝好 辛苦了 謝謝好 謝謝牛許廷委員 謝謝好 接下來我們請吳麗華委員
transcript.whisperx[652].start 16785.885
transcript.whisperx[652].end 16787.472
transcript.whisperx[652].text 謝謝主席 有請國防部長好 請顧部長
transcript.whisperx[653].start 16801.096
transcript.whisperx[653].end 16823.008
transcript.whisperx[653].text 市委委員好部長好部長我們都知道戰爭現在並不是只有火力軍備的對抗其實網路的戰爭目前已經是一個趨勢那很多人也會這樣子想會覺得中共在這一方面的認知作戰看起來好像是更勝一籌
transcript.whisperx[654].start 16824.468
transcript.whisperx[654].end 16843.68
transcript.whisperx[654].text 有時候感覺我們都被打趴了所以我們在這次的韌性預算特別條例有看到就是我們為了要發展這個電子站網路站這個防護徵收反制的能力特別有一個叫軍民資通作業環境韌性與設備效能提升計畫編列了563億我想我們一定要全力支持也一定會全力支持
transcript.whisperx[655].start 16853.686
transcript.whisperx[655].end 16873.2
transcript.whisperx[655].text 但是設備跟人必須要相符才能夠相成那我們看到了一個數據就是在我們109年到113年資通電軍指揮部有一個勤務家級叫做網路戰勤務家級
transcript.whisperx[656].start 16874.201
transcript.whisperx[656].end 16889.312
transcript.whisperx[656].text 那麼從它的人數跟它編列的一個金額我們可以看到過去預算的人數跟實資的人數我們可以看得到說好像是實資的人數會超過預算的人數
transcript.whisperx[657].start 16892.074
transcript.whisperx[657].end 16911.708
transcript.whisperx[657].text 所以這幾年我們其實已經把預算人數變高預算金額也變高但是我們發現實質的人數實質的金額卻是在下降當中那我想請教一下部長您認為這樣的現象可能是什麼因素
transcript.whisperx[658].start 16914.003
transcript.whisperx[658].end 16938.036
transcript.whisperx[658].text 跟委員報告我們也因為這樣子所以114年6月起我們也增加了這個網路站的一個佳績多少我們分成專精二級跟專精一級還有精英二級跟精英一級還有專家級有不同最高是專家級要到佳績是6萬好 那部長我請教您
transcript.whisperx[659].start 16939.096
transcript.whisperx[659].end 16957.041
transcript.whisperx[659].text 去年就是今年114年度網路站的這個佳績我們來看一下專家級也就是這個6萬塊的他能夠領到的人數比例是2.66%菁英一級呢3萬元8.24%菁英二級1.5萬元13.56%專精一級1萬塊70.2%專精二級
transcript.whisperx[660].start 16966.564
transcript.whisperx[660].end 16992.45
transcript.whisperx[660].text 5000元5%也就是說幾乎全部都集中在專精一級也就是加緊1萬塊所以那個6萬塊可以說看得到吃不到那麼按照這個取得的辦法呢要有9張的證照啊那部長你想想看如果我們在民間哦取得了這9張證照您想他的薪水應該會多少
transcript.whisperx[661].start 16995.049
transcript.whisperx[661].end 17003.224
transcript.whisperx[661].text 就這一個有關區隔的這個部分之前在內部有很多討論我想是不是請鐘建軍來說明一下
transcript.whisperx[662].start 17006.348
transcript.whisperx[662].end 17033.126
transcript.whisperx[662].text 委員你好我是東京軍參謀長跟您補充因為這個部分是有分一個等級那就剛成如那個委員所關切的這個專家級他是最高等級所以我們有預定他的資格譬如說他要什麼樣子的國地證照要幾張另外可能就有一些時機我們去評鑑所以說這樣子一個分起來預定他相關的所以我們算過了嘛就是最高等級的專家級你看才2%的人
transcript.whisperx[663].start 17036.928
transcript.whisperx[663].end 17053.054
transcript.whisperx[663].text 就看得到吃不到啊那個六萬塊就掛在那邊所以這個最主要的原因其實我覺得是各行各業共通的問題啦像我們教育界其實這些年也很辛苦為什麼因為半導體AI這些產業
transcript.whisperx[664].start 17055.055
transcript.whisperx[664].end 17071.451
transcript.whisperx[664].text 說一句實在話 他們的薪水很高所以連當老師從大學 高中 國中 國小你要去找到那些教科技的或者教工程的甚至是教自然領域的說一句實在話 人才很難找
transcript.whisperx[665].start 17072.051
transcript.whisperx[665].end 17097.979
transcript.whisperx[665].text 所以像美國他們就是有透過約聘制去處理這個問題給予這些業界的人才到學校有一個彈性的職務目前我們教育部也有在引進當中如果說我們看國外的像以色列我們知道的就是他們是扶植這一些部隊也就是這些網路部隊
transcript.whisperx[666].start 17098.999
transcript.whisperx[666].end 17124.826
transcript.whisperx[666].text 去創業然後讓他們未來在成為後備士兵的時候呢他們這些公司呢也能夠成為繼續的一個後備的軍力所以他們形成一個非常綿密的一個網路的後備軍力網那我想其實有很多很多的事情他山之石都可以拿來借鏡那我是覺得說
transcript.whisperx[667].start 17126.726
transcript.whisperx[667].end 17141.372
transcript.whisperx[667].text 這樣的一個預算我們一定要支持也一定會支持因為太重要了但是空有這樣的一個設備預算人還是很重要的所以我們看到這樣的一個數據我們有點擔心這些沒有足夠的人才去發揮我們所編列的這些預算那部長您未來會怎麼樣看待這個問題
transcript.whisperx[668].start 17151.496
transcript.whisperx[668].end 17166.771
transcript.whisperx[668].text 簡單兩點回應就是說第一個我們就是調整之後專家級的可資齡的比例現在已經調到前10%了也就是說我們希望盡量大家往這個有誘因的專家級的這個部分來邁進所以我們把它放寬比例到10%
transcript.whisperx[669].start 17168.032
transcript.whisperx[669].end 17194.761
transcript.whisperx[669].text 那麼下面的關於菁英一級跟菁英二級我們也把它增加那個比例這是第一點第二點民間的這個人士在我們演習的期間我們事實上都會進行相關的一些動員那麼我們現在在動員的這個階段我們也會做精準動員來納入民間的這些屬於這個後備役的這個部分那這個部分也是我們正在進行中的事情
transcript.whisperx[670].start 17195.641
transcript.whisperx[670].end 17203.608
transcript.whisperx[670].text 部長我們就是希望這個人才的招募部分希望能夠把它列為一個重要的政策能夠去來思考討論好不好謝謝部長 謝謝主席謝謝吳麗華委員部長請回接下來我們請陳冠廷委員
transcript.whisperx[671].start 17230.171
transcript.whisperx[671].end 17231.558
transcript.whisperx[671].text 你好 我們請農業部部長好 請陳部長
transcript.whisperx[672].start 17244.71
transcript.whisperx[672].end 17268.499
transcript.whisperx[672].text 我也好 部長好部長 日前賴總統有宣布說未來4年的國內業者可能會採購將近100億的美國農產品這一次的清單雖然避開了稻米但是家裡的農民都在問我說下一次會不會擴大採購稻米雞和豬肉這個部分
transcript.whisperx[673].start 17270.059
transcript.whisperx[673].end 17297.626
transcript.whisperx[673].text 我們今天審查的190億的農業認証運算有沒有做最快的準備跟打算我跟委員說明這兩個是完全不一樣的事情我們這次赴美採購100億美金最主要是它是一個每兩年一度的例行性的業者聯合採購已經辦了15次最主要的品項是黃豆 玉米 小麥跟牛肉
transcript.whisperx[674].start 17298.786
transcript.whisperx[674].end 17324.946
transcript.whisperx[674].text 黃豆 玉米 小麥這個部分我們國內的自給率就非常非常的低舉個例子 黃豆的自給率只有0.2然後玉米的自給率只有2.5左右牛肉的自給率也不過4.6所以這些產品都是國內需要然後我們進來以後能夠有效的反而會讓我們的生產成本降低
transcript.whisperx[675].start 17326.01
transcript.whisperx[675].end 17350.895
transcript.whisperx[675].text 所以等於是說我們儘管是採買100億美元的農產品其實是在做互補性的因為我們剛好是最缺這一部分的農產品也是因為我們這個部分也是一直以來都是很依賴的那既然由美國能夠提供的話那這樣子的購買其實對我的農業對我國的農業是沒有什麼太大衝擊甚至是對我們的包含一些飼料是降低它的費用都有幫助對我們反而是有利的對飼料的成本降低是有利的
transcript.whisperx[676].start 17351.873
transcript.whisperx[676].end 17376.278
transcript.whisperx[676].text 想請教一下 部長接下來有很多輪的談判農業部有沒有建立包含敏感的產品的清單我為什麼一直在講稻米 雞肉 豬肉這一些是因為我們包含嘉峪 雲嘉南 高高坪地區這一些都是我們重要的農民生產的這些作物跟肉品所以針對這一些優先的必須要保護的項目我不知道部長有什麼樣的做法
transcript.whisperx[677].start 17377.389
transcript.whisperx[677].end 17406.005
transcript.whisperx[677].text 最終的決策層級會是農業部還是經貿辦還是國安會我非常了解大家的一個擔心跟疑慮但是現在因為談判還在談判的過程中我沒有辦法去做一些更詳細的說明但是農業部的立場就是一定會確保糧食安全然後同時讓我們這個產業能夠持續的永續發展更重要的是我們會確保農民的權益我們是用這三個基本的前提之下持續的在跟美國在做一個溝通
transcript.whisperx[678].start 17406.96
transcript.whisperx[678].end 17434.452
transcript.whisperx[678].text 部長你剛才說確保農民的權益有一些政府必須要設定的不可退讓的紅線包含農業部也要設定一些不可退讓的紅線讓這一些談判單位也要清楚的知道我今天不斷重複稻米跟我們的肉品這個部分我還是希望說一定要讓負責談判的小組能夠知道說這是我們中南部非常重視的項目不可以輕易的來去放棄這個紅線
transcript.whisperx[679].start 17436.005
transcript.whisperx[679].end 17449.333
transcript.whisperx[679].text 我必須要再提到部長你這190億的農業任性的預算裡面有提到獎勵花 種苗 毛豆 國產茶葉等等鬼頭魚 無國魚來去拓展美國高端外銷市場所需經費約45億元
transcript.whisperx[680].start 17451.474
transcript.whisperx[680].end 17475.564
transcript.whisperx[680].text 部長我們之所以要做這些事情我們剛剛提到在採購100億美元的美國農產品就是因為我們對美國有高度的順差為了降低順差的幅度所以我們才需要談判那我們同時要降低順差同時又要推銷到美國的產品在這個預算的項目裡特別標明美國市場這樣不是很矛盾嗎我的建議是不是說獎勵業者推展國際高端外銷市場
transcript.whisperx[681].start 17476.044
transcript.whisperx[681].end 17493.623
transcript.whisperx[681].text 不應該只去這個拘束於在美國市場而已因為這就跟我們的相關的政策是有所矛盾非常同意委員的講法那這個部分我想可能是我們同仁在寫的時候因為我們在政策的內容除了美國市場其實更重要的是多元的高端市場
transcript.whisperx[682].start 17494.504
transcript.whisperx[682].end 17502.99
transcript.whisperx[682].text 所以這個45億我們未來不只是全部在美國有更多的高端市長我們也會一起來努力所以說科目就不必只寫美國因為你的科目就寫美國其實我們的目標是多方的市場的話
transcript.whisperx[683].start 17510.354
transcript.whisperx[683].end 17538.804
transcript.whisperx[683].text 也同時我們的政策目的就是某種程度就是美方就是希望我們來降低順差我們還做這件事情的話感覺是在政策上面的互相抵消第一個我們剛剛講到的黃豆 小麥 大豆我們我國的自產率本來就低的東西這當然是有互補的這個我想也透過很多機會要讓農民朋友們知道但是我剛剛提到的稻米還有豬跟雞這個不斷的還是我要一再的強調再來剛才提到糧食安全的準備
transcript.whisperx[684].start 17539.881
transcript.whisperx[684].end 17552.97
transcript.whisperx[684].text 那部長我看到我們現在糧食的倉儲地點是不是過於集中會不會讓緊急狀態下的供應韌性對於這個分散式的倉儲或者是異地備援的規劃這個目前的進度是怎麼樣
transcript.whisperx[685].start 17553.939
transcript.whisperx[685].end 17570.661
transcript.whisperx[685].text 我跟委員報告我們現在的全國的這些最主要的糧倉的部分其實是分布在我們所有的縣市每個縣市都有17個縣市最主要17個縣市因為都會區可能是用臨近的每個縣市我們都有他們相關的安全的一些備援
transcript.whisperx[686].start 17571.121
transcript.whisperx[686].end 17584.22
transcript.whisperx[686].text 那也很抱歉因為這些地點跟實際的東西我現在沒辦法說我們只是要提醒我們有分散我們是有考慮到分散那未來也會針對這些糧倉做一些維修跟一些用冷藏可以讓它儲存更久的一個方式來處理
transcript.whisperx[687].start 17585.103
transcript.whisperx[687].end 17602.479
transcript.whisperx[687].text 除了分散之外另外一個還要提點就是當然是依照人口跟偏遠地區都必須要有相關的配套的做法特別是也是要鼓勵農業部希望說各個不管是藉由宣傳還是用其他的方式還是要建議在偏遠地區的民眾假設在
transcript.whisperx[688].start 17603.3
transcript.whisperx[688].end 17627.416
transcript.whisperx[688].text 完全斷元因為現在災害是頻繁的在狀況之下他們至少可以再維持在家中的糧食飲水電源設備至少要10天以上這個部分我想農業部也必須要再加傳推廣因為特別是在偏遠山區的我們可能比方說我們哈里山翻入竹崎山區的話第一時間道路都會中斷等到道路重新清通之後再把相關的運輸品穿過去的話可能會太遲所以
transcript.whisperx[689].start 17628.517
transcript.whisperx[689].end 17636.659
transcript.whisperx[689].text 藉由這個機會在國會還是希望大家能夠準備十天的以上的糧食跟飲水 謝謝好 謝謝委員的提醒 謝謝好 謝謝陳冠廷委員接下來我們請張雅玲委員謝謝主席我們有請勞動部次長和衛福部次長
transcript.whisperx[690].start 17659.486
transcript.whisperx[690].end 17660.026
transcript.whisperx[690].text 來請次長陳次長還有呂次長張委員好
transcript.whisperx[691].start 17671.445
transcript.whisperx[691].end 17694.237
transcript.whisperx[691].text 好我们先请教那个劳动部就是说我在之前在第三会期的时候呢我其实曾经有询问过劳动部有关于女性劳产率的问题希望可以提出精进方案因为目前我们人力短缺可是我们的女性劳产率只有52%那后来呢就是说我们其实也有发现女性其实呢在就业的意愿其实是蛮高的可是因为她有很多
transcript.whisperx[692].start 17694.677
transcript.whisperx[692].end 17717.917
transcript.whisperx[692].text 不管是育儿或是离开职场太久之后他有些技能上面可能没有办法符合实在的需求所以后来劳动部有提供给我们一个精进作为就是说我们会简化工时调整奖励申请的方式及流程达到实职雇佣及协商工时调整之效益但是我们也发现就是说在这113年其实我们在弹性工时的调整奖励上面的职缺只有3631个
transcript.whisperx[693].start 17720.539
transcript.whisperx[693].end 17743.491
transcript.whisperx[693].text 推介就業只有844個換算成女性勞參率大概也只有0.05%同時我們也詢問過了一些企業其實他們也提到了有三個問題對於他們來說其實是希望可以再調整的第一個就是說申請文件繁複雖然說誰到誰選可是只要有什麼狀況的話補件他就要來回奔波
transcript.whisperx[694].start 17744.611
transcript.whisperx[694].end 17769.762
transcript.whisperx[694].text 第二个就是不确定性跟风险成本也就是说它补助被核定的时候它虽然被核定可是它会延后才进来所以就变成它要先垫付一些成本例如工资行政支出等等的还有企业成本的考量就是说今天金额奖励的金额其实是偏低的补助的时间可能最长也只有12个月所以对于部分的企业来说其实是很难覆盖它的行政成本
transcript.whisperx[695].start 17770.582
transcript.whisperx[695].end 17785.22
transcript.whisperx[695].text 那同时我想问一下就是说针对这三点我们是不是有可能改善那同时是不是有可能在申请文件这件事情改成是线上申请的方式减少企业周车劳顿的时间
transcript.whisperx[696].start 17786.355
transcript.whisperx[696].end 17806.609
transcript.whisperx[696].text 謝謝委員 這當然是我們應該要做的事如何方便我們的婦女朋友可以工作與生活平衡 彈性暈暈流停或讓她盡量保持在職場上 這是我們勞動部當委之事委員所提到這些事情 我們都目前正在檢討當中我們會朝方便婦女朋友的申請還有友善化的方向來檢討改進
transcript.whisperx[697].start 17808.01
transcript.whisperx[697].end 17824.315
transcript.whisperx[697].text 可是我想現在還有企業面臨到的一些問題啦剛剛講其實是企業面臨到的問題那企業的部分像線上申請這個部分是可行的嗎我們其實推動相關的申請友善化本來就很多線上申請的作為那這邊企業大概
transcript.whisperx[698].start 17826.996
transcript.whisperx[698].end 17846.575
transcript.whisperx[698].text 大中型的企業是沒有問題的那中小型的企業這邊有賴於我們透過相應的協助讓他知道便利的申請方式我相信其實未來隨著AI時代的來臨數位化的落差會逐漸去彌平好 那我想因為時間很有限我想我先到下一個部分就是說
transcript.whisperx[699].start 17848.297
transcript.whisperx[699].end 17870.271
transcript.whisperx[699].text 我们其实现在我们不管是在女性来说我们看到非常多的妈妈她们都希望有弹性共识这件事情那我们也发现从数据上面数据上面其实我们的女性在疫情之后她完全在家上班的这个数字其实是大幅提升的跟过去相比来说所以
transcript.whisperx[700].start 17870.791
transcript.whisperx[700].end 17885.545
transcript.whisperx[700].text 我們知道說這的確是有一些挑戰但是我想這個還是蠻需要去落實這個性工法第19條的一個規範提供這個彈性工時我想請次長是不是可以我們可不可以加速來讓這件事情來進行這樣子
transcript.whisperx[701].start 17886.265
transcript.whisperx[701].end 17910.922
transcript.whisperx[701].text 我們未來會針對女性的老公朋友如何在家工作或者是協商休息的時間等等或以至於育兒照顧長者需求相應的部分我們都會來一併的來檢討讓它彈性化可以增加女性朋友的一個工作上的好 那我想這個是不是可以提出一個方案給我們好不好好 那抱歉我趕快謝謝我們先請衛福部衛福部
transcript.whisperx[702].start 17915.384
transcript.whisperx[702].end 17942.596
transcript.whisperx[702].text 張委員你好市長好就是說其實我們之前看到那個衛福部提供的資料就是說我們有個強化關懷老人服務的計畫是所以我們去看如果以我們計畫關懷仿生人數對照內政部的設計資料來說其實覆蓋率只有六分之一其實是非常非常低的那我們這一次呢在除了我們看到說未來一定會成長越老人一定是越來越多沒錯那我們現在有幾個問題第一個就是說我們涉及到
transcript.whisperx[703].start 17943.536
transcript.whisperx[703].end 17967.098
transcript.whisperx[703].text 我們有許多的獨居長者其實是沒有被納入服務網路的原因就有可能是因為地方沒有去積極的盤點整合不同單位的資料所以衛福部這邊是不是可以來去督導我們地方政府強化的去整合我們不管是戶政或是警政以及我們社政的相關系統來確保我們的確有掌握到所有的獨老的數字這部分是可以的嗎
transcript.whisperx[704].start 17968.099
transcript.whisperx[704].end 17985.01
transcript.whisperx[704].text 包括委員我們確實就正照委員您剛所說的我們會朝這個方向那我也有幾個啦有幾個數字 第一個內政部他現在所說的這個基本上基本上只是就是說那個戶數基本上只是那個所謂的住宅還有那個所謂戶數但我們現在目前必須要有實際房市
transcript.whisperx[705].start 17986.391
transcript.whisperx[705].end 17997.693
transcript.whisperx[705].text 之後我們來知道他真正的需求所以就是說獨老裡面其實老實說獨老也有自願性獨老跟非自願性那我們現在目前是非自願性裡面有福利需求的我們現在目前要target在這個群體
transcript.whisperx[706].start 17999.296
transcript.whisperx[706].end 18016.396
transcript.whisperx[706].text 所以你們現在有非自願讀老的數字是已經都算出來了嗎還是還沒有正因為我們現在就是不清楚所以我們要經過這兩年三個月我們跟內政部我們非常感謝內政部這邊的這一個幫忙我們會透過民政系統那邊來做一個全國性的一個普查
transcript.whisperx[707].start 18017.337
transcript.whisperx[707].end 18032.61
transcript.whisperx[707].text 我跟委員報告我們現在目前全國我們現在目前的65歲以上總共有468萬佔總人口大概19.67但是按照我們現在目前估出來真正有需要的應該是9%所以總共我們是抓70萬
transcript.whisperx[708].start 18034.291
transcript.whisperx[708].end 18063.213
transcript.whisperx[708].text 我们是这样做这样的估算那分两年嘛一年35 35 35这样来做这个估算好 我想确定一件事情就好就是说因为现在看起来你们已经有掌握一个大概的数字所以现在我们看起来只有覆盖了一部分非常非常少的一部分所以我们现在是不是有个具体的规划时程大概什么时候可以完成这样子的一个覆盖率呢我们有这样的计划吗就诚如我们就是在这次任性计划里面我们提出一个整个两年两年期的计划两年期的计划会完成覆盖
transcript.whisperx[709].start 18063.773
transcript.whisperx[709].end 18081.568
transcript.whisperx[709].text 對 沒錯就是能夠達到我們剛剛說的預估值70萬從現在目前有照顧的5萬多大幅成長到70萬這樣所以在兩年之後我們就會覆蓋了是的 沒錯好 了解 謝謝好 謝謝委員 謝謝好 謝謝張雅琳委員市長請回接下來我們請林月琴委員
transcript.whisperx[710].start 18100.834
transcript.whisperx[710].end 18104.516
transcript.whisperx[710].text 主席麻煩我們財政部的莊部長還有勞動部的常務次長陳次長來 勞動部陳次長
transcript.whisperx[711].start 18121.135
transcript.whisperx[711].end 18133.462
transcript.whisperx[711].text 首先我要肯定行政團隊這次在法制面上讓普發現金可以合法又合規的發放當然院長也承諾只要立法院三讀通過一個月就能夠發放這也是值得肯定的
transcript.whisperx[712].start 18134.162
transcript.whisperx[712].end 18155.828
transcript.whisperx[712].text 不過這時間真的非常的趕非常緊所以我還是要提醒這次普發獻金除了發放效率外更要重視詐騙的防範以及攝服對象能不能夠順利領取甚至要有人來協助這一直是我很關心的族群回顧2023年那次普發獻金常見的詐騙手法像是假網站還有冒用個資釣魚簡訊等等
transcript.whisperx[713].start 18158.909
transcript.whisperx[713].end 18178.329
transcript.whisperx[713].text 這次補發一萬元還沒開跑就已經有詐騙的案例出現了所以想問部長這邊除了加強宣導以外政府到底有沒有更積極的防範措施特別是在這次應該會有更多民眾選線上的登錄來領取所以有沒有事先防堵的做法
transcript.whisperx[714].start 18179.51
transcript.whisperx[714].end 18207.146
transcript.whisperx[714].text 是的有的第一個我們一定要告訴正確的資訊告訴民眾在什麼樣情況下在哪一個網站登記要注意那另外呢其實也跟委員報告這個政府一直開始都已經對於打詐的重視這一個月不到一個月的時間我們已經成功的下架了有48件的詐騙廣告還有12個社群的帳號還有三組的詐網的停止解析那這個部分目前刑事警察局都在專責的溯源偵辦當中
transcript.whisperx[715].start 18208.466
transcript.whisperx[715].end 18221.292
transcript.whisperx[715].text 這個部分我們要告訴大家就是說不要有這種投機的心理因為政府一定會加強追緝以及有相關的機制來追查的好 謝謝部長那部長先請回我接下來問勞動的議題
transcript.whisperx[716].start 18223.513
transcript.whisperx[716].end 18248.731
transcript.whisperx[716].text 那陈上你好就根据我们的统计呢青少年15到24岁的失业率长期都维持大概在11%左右是整体失业率的三倍以上所以我很肯定这次政府编列30亿投入在加强青年失业训练奖励跟资源计划这是非常必要性的可是我想特别请教是这个政策里面到底我们包含
transcript.whisperx[717].start 18249.491
transcript.whisperx[717].end 18271.486
transcript.whisperx[717].text 因為我們15歲就可以工作了15歲到17歲的未成年 青少年也就是還沒有成年的那一群有沒有納入在就業協助或職愛輔導我跟委員報告就是勞動部在就業服務職業訓練各種的對象尤其是弱勢族群 青少年也都是在我們平常例行的核心業務本來就有在做
transcript.whisperx[718].start 18272.046
transcript.whisperx[718].end 18287.64
transcript.whisperx[718].text 那關於15到17歲的未成年人其實洪部長當時為了建立相關網絡也跟其他部會開過協作會議還有地方政府開過協作會議我們也去了一些據點也謝謝委員參與也提供我們很多的意見那我們勞動部在針對這一波特別
transcript.whisperx[719].start 18288.46
transcript.whisperx[719].end 18303.38
transcript.whisperx[719].text 預算主要是在處理因應美國對等關稅還有國際情勢相應的影響所需要在一般的業務以外額外再去做相應處理的時候才會動用到特別預算但是很多的基本的支持在我們的本來的
transcript.whisperx[720].start 18304.301
transcript.whisperx[720].end 18323.039
transcript.whisperx[720].text 很長的業務裡面就有包括所以委員所關心的這部分我們會再仔細盤點相應的政策需求協助這15到17歲的人因為我上個會期就跟勞動部一起檢視過弱勢境遇未成年的勞動權益跟保障的確聯合國的文獻也呈現說弱勢的未成年人
transcript.whisperx[721].start 18323.96
transcript.whisperx[721].end 18345.558
transcript.whisperx[721].text 往往比同年齡的人更早踏入職場如果在前階段的兩三年協助他們給他們更多的穩定的一個職癌的協助跟引導的話對於他們未來的五年的就職事實上是有非常大的一個幫助所以這次在這個預算裡邊的話我希望你能夠去理解
transcript.whisperx[722].start 18346.218
transcript.whisperx[722].end 18360.894
transcript.whisperx[722].text 因為執行方案是需要經費的所以這些經費的支持是非常迫切也是非常緊急的一個問題尤其我過去在民間服務的經驗我們發現少年在就業族群裡邊大概是有六成他事實上是沒有勞保的
transcript.whisperx[723].start 18361.594
transcript.whisperx[723].end 18383.211
transcript.whisperx[723].text 這代表他們的工作處境事實上是不穩定風險又高更讓人家擔心的是從少數有勞保資料的部分來看的話年齡越小的反而越常出現在高風險的職場像是工地或者是營造製造業的比例竟然事實上是15歲的比16到17歲的還要高那所以請問像次長你怎麼去理解這樣的現象
transcript.whisperx[724].start 18385.673
transcript.whisperx[724].end 18401.64
transcript.whisperx[724].text 應該這樣跟委員報告就15到17歲這一群青少年朋友其實也剛好在求學就業還有相應的相關的階段那其實行政院整體的在社會安全網裡面對最近都有關照所以我想問一下你們有沒有對策我們逃犯部隊如何就業自立
transcript.whisperx[725].start 18402.1
transcript.whisperx[725].end 18428.606
transcript.whisperx[725].text 提供他好的經濟生活的支持這部分是我們要去做理解的那有關於這青少年朋友他其實在工作場域和環境有一定的限制我們不希望他從事太多危險性高風險的行業所以這部分包括他的經濟來源支持還有如何協助他適材適性進到適合的工作場域這部分我們會來努力好謝謝次長謝謝好謝謝林瑞琴委員好
transcript.whisperx[726].start 18433.16
transcript.whisperx[726].end 18439.988
transcript.whisperx[726].text 接下來請廖偉祥委員廖偉祥委員廖偉祥委員不在接下來請盧憲宜委員謝謝主席主席有請內政部長請劉部長內政部
transcript.whisperx[727].start 18466.847
transcript.whisperx[727].end 18482.063
transcript.whisperx[727].text 部長好 華佳沙颱風除了造成我們馬太安的災情以外不知道部長有沒有關心我們南橫也就是大概一百六十幾K 一直到兩百K我們海端鄉的這個路段的部分有沒有聽到一些消息
transcript.whisperx[728].start 18483.306
transcript.whisperx[728].end 18504.427
transcript.whisperx[728].text 跟委員報告其實我們主持的畫家沙颱風包括花蓮艷澀湖的部分其實在台東都有提高警戒我知道說到最後兩三天的時候仍然有些路段的部分因為段路的部分會造成交通上面的處理我們後來就請交通部要協助台東縣政府
transcript.whisperx[729].start 18505.127
transcript.whisperx[729].end 18525.984
transcript.whisperx[729].text 謝謝部長因為這次的我們國際強化經濟社會及這個任性特別預算有編了大概15.85億用在基層防災維生設備建置的部分那我就聽到一些地方的民意代表或者是消防隊他們就跟我說能不能請委員幫忙來
transcript.whisperx[730].start 18527.705
transcript.whisperx[730].end 18554.492
transcript.whisperx[730].text 看看有沒有發電機或者是可攜帶性的比如說電極器或者是生命監測器結果詢問了以後其實沒有辦法來補助這些設備我就想說如果這次有編列到這些預算的話這是屬於維生基礎的話是不是可以把它盤點全國比如說偏遠地區比如說海端 阿里山 霧台 納瑪夏這些比較容易交通中斷的地方
transcript.whisperx[731].start 18556.653
transcript.whisperx[731].end 18570.621
transcript.whisperx[731].text 讓他們知道讓盤點說他們地區需要的是什麼那我就大概看了一下我們這次有一些防災的這些步驟讓一些我們部落的人有些想法跟部長報告他說在
transcript.whisperx[732].start 18572.222
transcript.whisperx[732].end 18590.556
transcript.whisperx[732].text 在那發生的當下真正發揮的功能是在我們的部落層級可是很多消息是從村里長這邊所以反而忽略了我們部落的一些年齡階層教會 青年會這些可以第一時間去動員的這些組織所以我想說以後在災害防救
transcript.whisperx[733].start 18592.757
transcript.whisperx[733].end 18618.805
transcript.whisperx[733].text 這邊希望能夠藉助這些組織的力量來導入我們一些我們基本上我們村裡的階層因為沒有他們的指導跟沒有他們的參與的話其實在部落裡面很難去推動所謂的防災的一個動作而且會讓他們覺得說沒有被重視像這次我們看到我們馬太安是他們有提出了個五大訴求
transcript.whisperx[734].start 18619.565
transcript.whisperx[734].end 18639.901
transcript.whisperx[734].text 那我也希望說這個基層防災這個維生設備能夠把他們這個五大訴求能夠匡列在那裡面然後希望部長能夠來研議這些我們的軟硬體設備啊或者是區域物資的整備還有一些設備選購的部分都能夠去聽取他們的意見好嗎 部長
transcript.whisperx[735].start 18641.683
transcript.whisperx[735].end 18655.891
transcript.whisperx[735].text 謝謝委員的指教我想分成兩個層面第一個我們現在在全台灣278個地方推動所謂的防災協作中心當然這是以鄉鎮公所或者是區公所為主那我們增加替代役的人力這是一個
transcript.whisperx[736].start 18656.491
transcript.whisperx[736].end 18674.818
transcript.whisperx[736].text 然後在這個防災協作中心有必要的包括像緊急發電設備等等都會編列進去那您現在所提到的就是比較有可能造成抑制災或者是孤島部落的這個原住民的區域的地方我們已經跟原民會來商量就是我們要不要成立這個原住民的特收隊
transcript.whisperx[737].start 18675.938
transcript.whisperx[737].end 18693.843
transcript.whisperx[737].text 這個原住民的特殊部隊會根據每個地方或是不同的部落裡面我們要做特訓如果你沒有做特訓的話自己沒辦法救自己要救別人其實反而會造成更多的災害所以如果有這樣子的一個特殊部隊要成立的時候第一個它會在消防署經過特殊訓練之後它必須要的裝備或是必須要的設備是什麼然後要怎麼樣協助
transcript.whisperx[738].start 18698.684
transcript.whisperx[738].end 18720.874
transcript.whisperx[738].text 到如果發生大型天災不管是地震或者是其他的大水來的時候才能夠真正做好比較防災的部分這是一個第二個就是所謂的韌性社區這次在馬太安溪裡面堰塞湖的部落有一位王子安村長他就是112年了我們消防署有認證過的這個防災韌性社區的非常好的代表
transcript.whisperx[739].start 18721.374
transcript.whisperx[739].end 18739.503
transcript.whisperx[739].text 所以他在疏散他的災民的時候他是用阿美族的族語幫忙做疏散而且平常也都有開會這樣子的一個方式如果大部分在部落的領袖或者是在村里長願意接受的話部落的領袖我們會透過園民會的系統來協助如果是村里的階層的話我們透過原來的鄉鎮區公所來共同協助我想用這樣的雙管齊下的方式來
transcript.whisperx[740].start 18747.127
transcript.whisperx[740].end 18768.515
transcript.whisperx[740].text 來協助我們在這個孤島部落裡面或者是原住民區域比較多的聚落可以達成真正做到防災的效果好 謝謝部長還有就是說再提醒就是也要盤點一些常常會缺水的地方雖然有些地方是有減益自來水或者是說沒有自來水的地區可是如果你可以預期說它沒有水的時候可以先把它的一些
transcript.whisperx[741].start 18769.255
transcript.whisperx[741].end 18783.644
transcript.whisperx[741].text 安全存量的用水放到部落那邊去不然我們這次光捐贈那個有些部落沒有水的可以捐贈到一千多箱的水然後我是覺得說到最後如果都來找我們的話我們真的是沒有辦法一定要請我們內政部來統籌這樣的一個
transcript.whisperx[742].start 18787.347
transcript.whisperx[742].end 18801.873
transcript.whisperx[742].text 報告委員大概有兩個方向如果他是平常的生活裡面缺水的話呢大致上是有園民會或是經濟部來協助但是如果你說到就是譬如說在天災期間收容安置單位裡面呢通常我們都會建議他有一星期以上的存水
transcript.whisperx[743].start 18802.313
transcript.whisperx[743].end 18827.025
transcript.whisperx[743].text 但是這次可能收容安置所裡面人口暴增因為有大量要收容這些部分所以會產生缺水的狀況但是後續有些其他的緊急的設備就會來協助那這個部分包括在天災的時候需要有緊急的一個水的設備的處理這是一個過濾器的設備包括慈濟基金會也會有我們會綁下它這樣的方式然後配備到災區裡面供大家來用
transcript.whisperx[744].start 18828.166
transcript.whisperx[744].end 18852.982
transcript.whisperx[744].text 好 謝謝部長 那我就再提醒一次希望就在的時候要有部落思維 謝謝對 園民會會跟我們一起來合作好 謝謝盧縣議委員部長請回OK好 我們接下來請高金素梅委員高金素梅委員高金素梅委員不在接下來請麥玉珍委員麥玉珍委員麥玉珍委員不在接下來請馬文君委員
transcript.whisperx[745].start 18862.103
transcript.whisperx[745].end 18863.066
transcript.whisperx[745].text 謝謝主席 麻煩請國防部長請顧部長
transcript.whisperx[746].start 18879.539
transcript.whisperx[746].end 18892.983
transcript.whisperx[746].text 這次我們針對因應國際情勢強化經濟社會及民生國安任性特別預算的部分我們在行政院提出的這個國安任性特別預算裡面總共5700億那我們國防的部分就佔了1132億可是我們看到
transcript.whisperx[747].start 18900.225
transcript.whisperx[747].end 18902.826
transcript.whisperx[747].text 因為首先因為這個時間很倉促我們在很短的時間框出這麼大的一筆預算可是我們在送進來的這些相關的資料裡面發現很多的問題一方面它非常的混亂
transcript.whisperx[748].start 18916.551
transcript.whisperx[748].end 18919.892
transcript.whisperx[748].text 因為包括主計單位跟一些需求單位其實他們送出來的數量數字其實大概都搭不上來所以我想這個裡面還存在很多問題而且這個編列的裡面我想提出幾個來請部長大概就這些部分其實還可以做一些檢討
transcript.whisperx[749].start 18936.636
transcript.whisperx[749].end 18955.925
transcript.whisperx[749].text 我們應該要把錢花在刀口上尤其我們國防預算難得如果說我們有這樣的經費應該要用在對的地方那特別預算是針對有特殊的狀況或需求或者政務的需要特別編的而且甚至裡面有很多是舉債的那如果說我們隨便亂用我覺得這個會對不起我們很多納稅人的我們的民脂民膏
transcript.whisperx[750].start 18962.748
transcript.whisperx[750].end 18981.462
transcript.whisperx[750].text 首先我們提幾個來看國防部含所屬的特別預算案裡面在兩年內你要執行大概400個案子國防部它核心的工作在這一次的韌性預算裡面它主要是強化韌性一直強調韌性可是我們看到預算的內容
transcript.whisperx[751].start 18982.202
transcript.whisperx[751].end 19009.862
transcript.whisperx[751].text 比如說你對於彈藥庫還有裝備的庫房作戰中心等等如果你要做這些的整建所謂的韌性至少應該是要加固防震防爆應該是做這些可是我們看到的是你是換掉舊的設備買新的大型的LED的螢幕高倍數的投影機還有視聽設備甚至會議室有兩個會議室長官的座椅每一張高達五萬塊
transcript.whisperx[752].start 19011.363
transcript.whisperx[752].end 19013.806
transcript.whisperx[752].text 訂製一個會議桌就要250萬兩個會議室這樣的會議桌要500萬我們覺得非常不可思議那像在囤儲一些我們的戰備用水我們現在買的水一瓶公開採購一瓶大概8塊錢可是我們在這一次要買的水特別有不同的規格
transcript.whisperx[753].start 19034.727
transcript.whisperx[753].end 19045.189
transcript.whisperx[753].text 我們買到一瓶120塊等於是我們現在買的12倍以上所以你編了8億將近8億的錢我們看到這些林林總總我現在講的這個裡面還有很多我們提出這幾個還有很多的單位他把錢拿來鋪馬路甚至有造橋蓋鋼棚還有防水設施換門窗電力設施換新整修游泳池
transcript.whisperx[754].start 19062.493
transcript.whisperx[754].end 19069.657
transcript.whisperx[754].text 這個都是很多靶場也是近三年內我們公務預算才整修完成結果你現在又納入特別預算還是重複的同樣的靶場所以我們不知道說為什麼這些預算可以這樣編可以這樣用那這些部分還有一個因為時間的關係我先把它提出來
transcript.whisperx[755].start 19081.843
transcript.whisperx[755].end 19084.685
transcript.whisperx[755].text 就是在這個資通作業環境跟設備的部分總共編了673億可是這673億裡面有很多他做的大概是衛星寬頻通訊設備跟大量的民用資通訊設備跟軟體
transcript.whisperx[756].start 19098.616
transcript.whisperx[756].end 19119.956
transcript.whisperx[756].text 这个我们每年都花高额的公务预算在做而且现在也还在做可是我们现在用特别预算又编了好几百亿将近700亿都在做这些而且很多的钱还是拿来付那个授权费他的授权费三年三年后咧在编好几百亿吗
transcript.whisperx[757].start 19121.129
transcript.whisperx[757].end 19130.936
transcript.whisperx[757].text 所以就這幾個非常不合理的地方我們好不容易如果國防預算有增加第一我們希望可以增加我們所有國軍的福利當我們需要給國軍加急或加薪的時候希望可以落實第二每一個每一分錢我們也希望他用在對的地方像剛剛我提到的你鋪馬路或者防水或者蓋游泳池這是應該放在特別預算的嗎
transcript.whisperx[758].start 19149.4
transcript.whisperx[758].end 19176.049
transcript.whisperx[758].text 部長要不要簡單回應說明泳池我的了解是因為義務役的部分我們要做相關的泳訓部長那是他們的說明他每個泳池都拿出來做整建而且有部長如果你要做我們不反對他應該放在公務預算而不是特別預算我剛剛講的這些其實他在公務預算有很多都可以做你不是用特別預算拿來做這些
transcript.whisperx[759].start 19177.557
transcript.whisperx[759].end 19201.478
transcript.whisperx[759].text 我想跟委員報告整個大方向來看是整件褲子設置訓場的環境這些都是為了我們一方面是大量的這些武器的跟彈藥囤儲的需求那一方面為了後備戰力的改革跟恢復一年級義務役的實戰化訓練所需要相關細節有關委員指摘的部分我後製室要不要說明一下
transcript.whisperx[760].start 19202.819
transcript.whisperx[760].end 19224.027
transcript.whisperx[760].text 我想 沒關係 部長我們在體驗上面有提出來剛剛你說像一年起的義務役一年起的義務役不是現在突然有的你這個預算是現在編的我們現在說的你包括剛剛我說的整建或者其他的支出我們認為如果你有需要你也可以編可是你應該編在公務預算你特別預算應該用在什麼樣的地方剛剛蓋馬路什麼的防射防水這個都不是應該做的
transcript.whisperx[761].start 19231.77
transcript.whisperx[761].end 19253.25
transcript.whisperx[761].text 而且有很多特規的東西或者像把我們所有軍人還有我們去軍醫院去看病的這些個資如果他的雲端資料必須放在境外應該讓國人很清楚的知道這部分我們在討論提案的時候再來做一些比較深入的探討好不好好 謝謝委員的意思是
transcript.whisperx[762].start 19258.697
transcript.whisperx[762].end 19273.852
transcript.whisperx[762].text 部長 你那個是不是就是會後之後再請那個對 我想委員沒有辦法讓我有時間回覆的話那我們就在討論的時候再來做說如果主席可以讓你回覆的話當然也可以沒有 我想整個的
transcript.whisperx[763].start 19275.458
transcript.whisperx[763].end 19299.798
transcript.whisperx[763].text 就國土防衛能量的部分假設我們用一般的作業維持費你要來看的話那你看看每年的年度預算的作業維持費有關在庫存的設施在靶場我們的費用是多少那我們有辦法在有沒有辦法在短短的時間之內來集中大量的來集中資源快速來籌建相關的庫存設備跟訓場環境這是我們現在提出來認為急迫的地方
transcript.whisperx[764].start 19299.838
transcript.whisperx[764].end 19325.114
transcript.whisperx[764].text 部長如果不浪費他就可以做得到我剛剛說的包括靶場設施包括靶場設施我再提醒部長一次包括靶場設施我們近三年已經用公務預算整建完成的這一次又放到這個特別預算裡面了回去可以看一下請他們詳細報告我們沒有重複也沒有浪費委員的質疑我們可以詳細在裡面來做做的部長我們請你看一下這個資料很清楚的 謝謝針對馬委員的疑問請部長在整個預算討論的時候再詳細做答覆好不好
transcript.whisperx[765].start 19329.517
transcript.whisperx[765].end 19350.368
transcript.whisperx[765].text 但是我還是要說明這個委員的旨在並不確實好不好OK 好 謝謝這個資料你們自己看清楚好 麥委員謝謝你也謝謝部長好 接下來請陳昭之委員陳昭之委員陳昭之委員不在接下來請沈伯陽委員
transcript.whisperx[766].start 19362.781
transcript.whisperx[766].end 19370.488
transcript.whisperx[766].text 謝謝主席 有請海委會管組委還有海巡署署長管組委還有海巡署張署長
transcript.whisperx[767].start 19388.508
transcript.whisperx[767].end 19404.742
transcript.whisperx[767].text 選委員好主委好 署長好因為是特別預算所以它也有一定的急迫性跟緊急性在這幾天第一個這是JAMSTOWN的報告它有提到中國海洋石油最近在做干擾
transcript.whisperx[768].start 19406.904
transcript.whisperx[768].end 19426.209
transcript.whisperx[768].text 因為它離東沙的距離的限制水域非常近又是一個比較新型態的灰色地帶的干擾模式當然我們最近已經在鎮院提出了海嵐七法當然某種程度可以遏止跟這些電纜等等相關的一些問題還有光纖針對這個比較新型態針對這種鑽油船等等的干擾目前掌握的狀況到底如何
transcript.whisperx[769].start 19436.318
transcript.whisperx[769].end 19453.634
transcript.whisperx[769].text 跟委員報告有關於專警平台目前我們是維持監控那有關於這個議題跨部會的機制都有建立起來那站在國安的立場我們第一個我們當然非常嚴厲的來譴責中國在這樣的一個海域裡面從事這個行為
transcript.whisperx[770].start 19460.14
transcript.whisperx[770].end 19476.916
transcript.whisperx[770].text 雖然說各方面的考量我們在具體的行動上面我們以說監控為主雖然是以監控為主但是基本上我們保持非常非常高度的一個檢測持續會這樣子的來監控下去
transcript.whisperx[771].start 19483.104
transcript.whisperx[771].end 19501.307
transcript.whisperx[771].text 因為這個我比較擔心的事情是因為就除了這一個剛剛講的這一個鑽油的這個部署之外他好像也有在測試我看到7月16號和9月13號他們都有去做這些干擾這個東沙水域的這個行動那因為我看這一個所以一直到這幾天都還有
transcript.whisperx[772].start 19503.108
transcript.whisperx[772].end 19526.205
transcript.whisperx[772].text 對,剛好這幾天會讓我覺得比較concern的地方就是因為以往一個月三、四次可能差不多但這一次這幾天等於是連續了好幾天13號、14號、15號、16號雖然說以一整個月來講這個頻率可能因為它後半段可能沒有但是它那個集中程度可能跟過往又已經不太一樣這也是我覺得蠻急迫的一個原因
transcript.whisperx[773].start 19527.302
transcript.whisperx[773].end 19541.39
transcript.whisperx[773].text 最近在東沙的襲擾我們確實有發現說頻率比較密集尤其是過去很可能它沒有完成一圈的襲擾但是這一次兩艘船連續並等於是兩艘船編隊繞了兩圈我們才驅離出去
transcript.whisperx[774].start 19547.973
transcript.whisperx[774].end 19574.065
transcript.whisperx[774].text 接下來很快的又有另外一艘海警船持續進來限制水域洗腦我們有發現平次是比較密集因為我們雙十國慶即將要來到所以在這種時候我們都會有專案維持更高度的警戒所以針對東沙的這一次我們有加派一艘大艦等於是在這兩次的洗腦當中
transcript.whisperx[775].start 19577.026
transcript.whisperx[775].end 19591.682
transcript.whisperx[775].text 我們是用兩艘大艦這樣的量能來做監控這些部分我們都感覺到非常的困擾中國在灰色洗腦的部分他們很多樣性的不斷的翻新他們的手法
transcript.whisperx[776].start 19592.202
transcript.whisperx[776].end 19619.194
transcript.whisperx[776].text 譬如說最近有一些新的發展譬如說如果說是以中國的船隻它擱淺了以後如果它失去動力的話那需要中國那邊想要來做拖船的方式把它拖回去等等我們也都不排除把這一種在我們的海域製造某種程度的有限度的海難然後要由他們的
transcript.whisperx[777].start 19620.895
transcript.whisperx[777].end 19637.791
transcript.whisperx[777].text 甚至於他們的公務船要來到我們的海域去處理等等這種我們都保持高度的警戒都有在防範這些事情被當作是灰色洗腦的手段好 謝謝主委那我最後兩個小細節就是說當然第一個就是我看到就是說他們這次這個閩獅魚
transcript.whisperx[778].start 19639.733
transcript.whisperx[778].end 19654.681
transcript.whisperx[778].text 他這個在喬裝的過程當中他等於是類似是他們海警局的船然後又裝作是他們這一個等於是他本來應該是民兵的這個背景然後假裝是執法的船就是我們過往看到的都是倒過來的就是他明
transcript.whisperx[779].start 19655.461
transcript.whisperx[779].end 19675.354
transcript.whisperx[779].text 明明是它有執法的量能但它偽裝成是一般民用但這一次我看到報告裡面有提到說有這兩艘它彼此在切換的時候有一艘它本來就是本來是中國這個海警局裡面的船那這樣的一個偵測對這一個海巡署來講有沒有造成比較多的困擾因為這種AIS的它這個切換這個模式越來越多元
transcript.whisperx[780].start 19676.298
transcript.whisperx[780].end 19693.804
transcript.whisperx[780].text 跟委員報告經過這個報導以後我們有回溯去了解並還沒有找到說中國的漁船它用假冒的AS來假冒成為是俄羅斯的船我們有看到說這兩艘船確實是有
transcript.whisperx[781].start 19694.344
transcript.whisperx[781].end 19713.764
transcript.whisperx[781].text 用兩組以上有一艘船是用兩組仿冒的AIS有一艘船是用三組這個AIS但是他們仿造的是仿冒的一艘是仿冒海警船中國的海警船然後一個是俄羅斯的另外一艘是仿冒漁船所以沒有找到仿冒俄羅斯船的這個AIS的狀況
transcript.whisperx[782].start 19715.886
transcript.whisperx[782].end 19743.858
transcript.whisperx[782].text 我們持續會做資訊的交流我們後續還會再更釐清這個案件目前這個案件我們還沒有查到說它是仿冒俄羅斯的軍艦我們查到的是仿冒中國的海警船因為時間關係我們的修法很重要我們的船舶法有在修對於AIS的這樣的一個偽造偽冒的狀態我們有新的法案送進來立法院了
transcript.whisperx[783].start 19744.398
transcript.whisperx[783].end 19772.38
transcript.whisperx[783].text 對就是我希望這個傳播法的修法對於他沒有去遵照就是沒有如實的去告知他正確的身份跟位置這個以後可能是要處罰的那希望能夠給這一個海巡單位有一個執法的手段這第一個但第二個就是因為新型態實在太多了所以需要新的設備需要這個新的monitor的方式剛剛講說要監測嘛這個監測在這個特別預算裡面到底是哪裡能夠去增加這個量能希望明天在討論的時候能夠跟國人說明
transcript.whisperx[784].start 19772.52
transcript.whisperx[784].end 19796.494
transcript.whisperx[784].text 我們在最近扣留的越界漁船上面也發現了民兵在上面那這些我們都有保持監控之中好 謝謝謝謝沈博洋委員好 主委請回接下來請林佩祥委員林佩祥委員林佩祥 不對 應該范園
transcript.whisperx[785].start 19800.073
transcript.whisperx[785].end 19810.079
transcript.whisperx[785].text 林佩祥委員不在接下來請蘇清泉委員蘇清泉委員蘇清泉委員不在接下來請張祺凱委員發言
transcript.whisperx[786].start 19839.515
transcript.whisperx[786].end 19842.979
transcript.whisperx[786].text 請經濟部部長好 請經濟部的龔部長各位好
transcript.whisperx[787].start 19850.014
transcript.whisperx[787].end 19877.544
transcript.whisperx[787].text 國務長 我剛跟中華掛斷中華現在在辦這個2025年的台灣設計展設計展辦得不錯 這是你們跟他們合辦嘛這算年度大事以前都在六都第四道的這個造化線那它是歷史有史以來最多的 最大的它有三個展區為中華到六港還有張嵐的點燈橋參會有19個展館我今天早上去了我看他們很努力在做市長 何市長代表你去了啦
transcript.whisperx[788].start 19878.144
transcript.whisperx[788].end 19899.807
transcript.whisperx[788].text 對 因為我在立法院 沒有辦法我還找時間看看立法院如果有空的話彰化的引擎冠軍很多他也是中小企業這個言香對台灣的這個貢獻是非常大的可是這段時間他受到很大的一個衝擊特別是高關稅的這個衝擊那王惠美 王縣長跟整個團隊非常認真我希望你這段時間
transcript.whisperx[789].start 19901.088
transcript.whisperx[789].end 19916.932
transcript.whisperx[789].text 要多去幫忙 把台灣市長辦得更好上次已經有去過一次我跟院長也去過 我自己也再去過了這段時間要多幫忙 讓彰化可以發光讓全台灣 全世界可以看得到可以 沒問題接下來我要問高關稅的衝擊美國商業部長明確地說經營片要555分
transcript.whisperx[790].start 19927.469
transcript.whisperx[790].end 19955.396
transcript.whisperx[790].text 那鄭麗菁 鄭副院長已經講了不只沒有討論也絕對不接受嘛 對不對所以你們都貫徹絕對不接受 對不對副院長代表的就是我們台灣的態度那如果接受了或者實際做的嘴巴講的後來沒有達成實際做的變成真的五五分那就是賣台囉我給大家看一下美國的商業部長講的就是說
transcript.whisperx[791].start 19956.69
transcript.whisperx[791].end 19985.521
transcript.whisperx[791].text 在川普的任期結束以前要將美國的晶片的自治力提升至少要變成40%目前美國只有2%台灣佔95%他明確的講到川普剩下三年多任內就要達到40%這代表什麼富國神山就變成半屏山了要半一半過對不對
transcript.whisperx[792].start 19986.767
transcript.whisperx[792].end 19993.634
transcript.whisperx[792].text 而且裡面沒半啦就是台灣的部分還在持續增加啦現在台積電已經承諾1650億嘛那其中的他有六個廠恐怕到2028年大概可以量產的應該按照程序正常的程序應該適合三個廠
transcript.whisperx[793].start 20005.555
transcript.whisperx[793].end 20016.105
transcript.whisperx[793].text 我給你一個非常明確的數據從2019年到2025年台積電在全球所有廠包括台灣 美國 日本 德國的投資
transcript.whisperx[794].start 20018.345
transcript.whisperx[794].end 20043.919
transcript.whisperx[794].text 2019年是149億2020年是172億到了2021年第一次突破到300億最高最高的就是2020年了投資多少錢362億後來又降下來300億就是他一年如果投資全球所有的廠方包括台灣差不多38億那我現在跟你講我剛剛為什麼提醒你美國商業部長講這個話很重要
transcript.whisperx[795].start 20045.728
transcript.whisperx[795].end 20074.058
transcript.whisperx[795].text 他在未來的三年多要把美國的自製力 晶片自製力要提高到40%這樣表示一年台積電去美國投資要250億你知道說1650嘛 對不對1650的1000億是未來的四年要投資一年就是250億那我剛剛跟你講最近這幾年投資多少錢包括台灣全球是300億當然會排擠啊這個就是現在你要去注意的地方
transcript.whisperx[796].start 20075.117
transcript.whisperx[796].end 20099.271
transcript.whisperx[796].text 不是嘴巴講的一套 做的是一套如果只剩下五十億像最近這幾天 我是教育人教育人說我們的那個封測場會不會受到影響台中市議會整個都鬧翻了在質疑說他們的一期跟一期二期馬上到年底要開工會不會受影響台積電說都正常 正常台積電都說正常 包括台中科的過程
transcript.whisperx[797].start 20100.031
transcript.whisperx[797].end 20116.064
transcript.whisperx[797].text 保定然後還有嘉義也會持續進行計畫不變嘛時間會不會有影響嘛保定我剛才說是非常理性物質科學的因為嘉義的部分主要是因為工程上他不是說政策上改變對啦
transcript.whisperx[798].start 20116.744
transcript.whisperx[798].end 20133.059
transcript.whisperx[798].text 所以那個部長你一定要讓台中嘉義的整個台積電的投資跟工程要如期那我現在跟你講更重要的明明這個錢就排擠了我給你算給你聽了一年台積電投資300億美國如果每一年都拿走250億當然就影響台灣投資這第一類第二類我現在給你比較給你看 你看喔
transcript.whisperx[799].start 20137.657
transcript.whisperx[799].end 20165.86
transcript.whisperx[799].text 他講說美國這三個部長說他的投資金額要超過五千億的美金要從封測到整個封裝都要完整下面這句話最重要的要把整個產業鏈帶回美國才能達成他說要讓台灣參與要讓台灣參與而且整個產業鏈都要執行那這個跟前幾天鄭麗菁講的台灣模式不是一樣嗎你嘴巴說我絕對不同意五五分
transcript.whisperx[800].start 20167.214
transcript.whisperx[800].end 20194.601
transcript.whisperx[800].text 結果你的台灣模式擴大對美投資做的是什麼政府跟企業分工然後政府還要去提供金融信保的機制我們的金人我也提供一些數據給你聽就是說如果到2028年到台積電在美國建了這個廠大概第三個廠可以開始量產這三個廠出來的話每月的這個量產的是大概5.3萬片
transcript.whisperx[801].start 20196.561
transcript.whisperx[801].end 20213.31
transcript.whisperx[801].text 現在我們5奈米以下在台灣現在越產能就是25萬片但是我們現在到2028年我們還會增建所以這個不可能是1比1問題來了嘛絕對不可能的那問題來了嘛美國的商業部長怎麼可以講說他要五五分呢
transcript.whisperx[802].start 20214.55
transcript.whisperx[802].end 20242.437
transcript.whisperx[802].text 在未來三年他要五五分然後更重要的我們的對美談判的代表我們的鄭麗菁副院長都提一個台灣模式我們又要去增加用一個產業部落副院長就說不可能五五分他已經說明了我們某些半導體的整個產業搬到美國去副院長已經有說明了嘴巴講的跟實際做的不一樣嗎來 看一看你去對比鄭麗菁的台灣模式到美國的商業部長要達成的五五分
transcript.whisperx[803].start 20243.496
transcript.whisperx[803].end 20271.603
transcript.whisperx[803].text 不能說很像啊只能說一模一樣啊因為你嘴巴講的不同意可是你實際做出來的我剛剛提供的你的晶片的產業就會外移到美國去嘛我剛剛提供給那個委員是實際的數字就是按照台積電的實際上到2028年他三個廠蓋完大概五萬多片越產人那我們現在已經二十五萬現在美國商業部長跟你講也跟你們他說這個信息在電視上專訪他很清楚講已經跟我們代表團已經傳達回來了嘛
transcript.whisperx[804].start 20273.496
transcript.whisperx[804].end 20288.31
transcript.whisperx[804].text 那他要你投資這麼多錢 我跟你算過啦你的錢就是給美國1.25億你就排擠到台灣的投資嘛 這第一點嘛第二點他要達到五五分未來三年多你現在又把你的產業晶片的產業部落到美國去
transcript.whisperx[805].start 20289.666
transcript.whisperx[805].end 20315.983
transcript.whisperx[805].text 那你不是影響到台灣的辦法所以人家才講說你的護國神山戲頓是不是變成半屏山了嘛實際上就是不可能嘛我剛才提到了2028年5萬多片我們現在已經25萬片所以現在才我們現在的五分之一而已啊所以那個美國的商業部長是亂講是不是這個我沒有辦法評論我沒有辦法評論他在電視上專訪直接清楚講所以跟我們代表團明確的表達了結果我們這邊還講說沒有討論
transcript.whisperx[806].start 20318.339
transcript.whisperx[806].end 20333.321
transcript.whisperx[806].text 那是說他胡說八道嗎我們的賴清德總統昨天還特別講什麼要協助美國成為AI的世界中心要讓美國再次偉大台灣的總統最重要是台灣偉大吧
transcript.whisperx[807].start 20334.383
transcript.whisperx[807].end 20355.2
transcript.whisperx[807].text 美國再次偉大然後把我們的經費五五分嗎立足台灣佈局全球這本來就是政策的方向台灣半導體先做得非常好才有辦法美國才有辦法藉我們的半導體而發展現在就是你們不要只有喊口號你從實際我剛剛跟你講的不管是資金投入美國一年250億不管是
transcript.whisperx[808].start 20357.282
transcript.whisperx[808].end 20376.593
transcript.whisperx[808].text 鄭麗晶提出來的台灣模式你就是我們晶片的從上中下游整個晶片肌肉的移轉到美國去嘛對不對你這個裡面牽扯到多少資金要出去多少的產業要出去多少工作機會要出去你們都有責任跟民眾講清楚耶你們大部分錢都沒講耶
transcript.whisperx[809].start 20379.235
transcript.whisperx[809].end 20383.44
transcript.whisperx[809].text 不是只有台積電喔是整個晶片的產業喔部長你是很有名的財經專家不是只有台積電富國神山變半屏山整個晶片的產業
transcript.whisperx[810].start 20396.835
transcript.whisperx[810].end 20420.14
transcript.whisperx[810].text IC設計上面有聯發科對不對 銳裕聯融 封裝測試日月光細頻 晶圓電池 設備跟材料商台達電 秦創 南亞對 報告委員這是整個你們所謂的政經所謂的台灣模式要過去 上中下游耶那你們 部長我問一下
transcript.whisperx[811].start 20424.641
transcript.whisperx[811].end 20439.447
transcript.whisperx[811].text 这些厂商做全球布局在那边可以因此力量延伸赚钱这个当然也是好事台湾它会持续扩敞持续最先进的技术都在台湾资金是有限的
transcript.whisperx[812].start 20440.72
transcript.whisperx[812].end 20467.31
transcript.whisperx[812].text 去美國當然台灣受影響你的人才會外流 你的工作機會會過去去那邊是借力使力借他們的這些科技人才也好或是土地水電 這是借力使力保定 我們有非常距離所以台灣有多少的上中下游的晶片產業多少資金會出去 哪幾家會去影響多少工作機會 不准再用詳細書面回答好不好時間有限 直接回答問題
transcript.whisperx[813].start 20468.29
transcript.whisperx[813].end 20493.392
transcript.whisperx[813].text 那個已經站起來一段時間啦 這樣好不好我剛問的問題第一個 不要只有嘴巴講我現在跟你講的都非常實際的台灣模式 鄭麗君清楚講我們晶片整個部聚落是要過去的你給我四個很具體的多少資金要出去 要到美國去第二個 資金喔 對不對哪幾家是會去的
transcript.whisperx[814].start 20494.264
transcript.whisperx[814].end 20504.273
transcript.whisperx[814].text 第三個更重要 影響多少的工作機會我們沒有辦法幫企業宣布事情我們可以講說是企業對外公開部長 政府已經講了是說你們採取分工政府有產業過去你們要開始 要去做調查嘛 對不對
transcript.whisperx[815].start 20516.974
transcript.whisperx[815].end 20527.922
transcript.whisperx[815].text 所以我剛要了四個指標這是鄭麗卿講的嘛你一個禮拜天給我好不好有多少資金出去你不是說產業出去然後你們負責去審核嗎我們不能幫企業宣佈他的規劃除非他自行對外輸出那你把你鄭麗卿今天的規劃給我好不好 謝謝謝謝張旗開委員
transcript.whisperx[816].start 20544.674
transcript.whisperx[816].end 20551.858
transcript.whisperx[816].text 接下來請陳永康委員陳永康委員陳永康委員不在接下來請范雲委員請問主席剛剛他超過三分鐘我們是不是也比照辦理
transcript.whisperx[817].start 20568.84
transcript.whisperx[817].end 20590.593
transcript.whisperx[817].text 為了公平起見我這個齊凱因為他一直跟這個部長兩個一直在那邊我覺得這個是一直重複我還是希望各位委員大家還是要遵守我們議程的規定就盡量不要去違反我們相關議程的規定也希望主席可以公平有請教育部部長 鄭部長請鄭部長鄭部長在吧
transcript.whisperx[818].start 20611.324
transcript.whisperx[818].end 20619.752
transcript.whisperx[818].text 委員好部長好首先要肯定部長在這次我們花蓮的災區的過程中第一時間點就聯繫國防部拜託他們務必先處理學校然後也非常的關心就是學生復課的狀況也把我們國教署長請他進駐花蓮
transcript.whisperx[819].start 20632.645
transcript.whisperx[819].end 20653.625
transcript.whisperx[819].text 那所以過去幾天我都有跟國教署長聯絡知道他非常的關心也跟花蓮政府協調很多跟學生跟老師的就是救災的事情還有復課的狀況但是今天我想針對復課之後發生的一些狀況想跟部長討論看是不是能夠處理得更好下一頁
transcript.whisperx[820].start 20655.94
transcript.whisperx[820].end 20676.979
transcript.whisperx[820].text 昨天這是根據中央社引述花蓮縣政府的數據昨天已經開始復課了但是我們看到這邊整理的表格每一個學校的情況不一樣看起來以光復商工來講的話其實有非常多的學生是請假70個學生請假71個學生是視訊
transcript.whisperx[821].start 20681.122
transcript.whisperx[821].end 20699.63
transcript.whisperx[821].text 那這個部分可是教育部給我們的數字今天我們要到的是首日出席率130人所以我有點不確定這個數字到底應該以中央社花蓮縣政府為準還是教育部那如果是以我們看到的花蓮縣政府的數據其實就幼兒園的部分請假率還是蠻高的
transcript.whisperx[822].start 20703.451
transcript.whisperx[822].end 20722.904
transcript.whisperx[822].text 國中小其實也是有74個人請假視訊上課27人但將近有100個人不能到學校請問數字的部分部長這邊有沒有掌握光復商工到底是出席130人還是140幾個幾乎全校不是視訊就是請假
transcript.whisperx[823].start 20726.225
transcript.whisperx[823].end 20754.191
transcript.whisperx[823].text 詳細的數字我會後再跟委員報告但是就關乎三公本來這一個禮拜就是等於以視訊優先然後另外中小學的部分我們知道還有部分的災區家園還沒重建特別幼兒園這裡邊可能有一些災區的家庭他小孩的照顧我想這整體的一個我們大概是像今天也有媒體報導說學生是空手到學校
transcript.whisperx[824].start 20754.671
transcript.whisperx[824].end 20770.85
transcript.whisperx[824].text 事實上這個都已經這個書包書籍被沖走的本來在學校裡面都已經幫他全部都這個準備好了學生只要沒有書包沒有這個文具沒有課本的學校都已經幫他準備好他就可以直接取用
transcript.whisperx[825].start 20771.491
transcript.whisperx[825].end 20786.658
transcript.whisperx[825].text 好 謝謝部長我想現在我們的確是面臨兩難因為有些家長的確也希望學生能夠早點去學校像您講的就是如果以花蓮商工為例的話雖然你們希望他能夠試訓
transcript.whisperx[826].start 20787.859
transcript.whisperx[826].end 20802.773
transcript.whisperx[826].text 可是有一半的學生其實視訊他也沒有辦法參與我們了解到的狀況他的確是需要家裡還需要重整家園需要蠻多的部分我現在想問的事情是我們能不能夠有一些彈性上課的方案
transcript.whisperx[827].start 20804.674
transcript.whisperx[827].end 20825.357
transcript.whisperx[827].text 已經明確連視訊都做不到的學生每個學校中小學花蓮商工的比重不一樣他們應該都是還在投入救災或者家裡有狀況教育部是不是能夠給他一些方案不管是補課或者是事先報備出缺勤就不計最重要的是能不能有其他替代的線上學習資源
transcript.whisperx[828].start 20827.198
transcript.whisperx[828].end 20846.55
transcript.whisperx[828].text 讓這些學生的學習不會因為家裡的家園重整而失去了這個機會跟權益這部長這邊是不是能夠感謝委員提醒確實我們有部分的家庭因為現在通信基本上沒問題所以有部分家裡還需要去整理的有部分學生沒辦法來到學校的我們在
transcript.whisperx[829].start 20847.45
transcript.whisperx[829].end 20864.098
transcript.whisperx[829].text 花蓮縣政府這一個部分我們縣花蓮關戶這一個附近我們請高中協助提供這些網路卡讓他們可以在家裡能夠用視訊那另外關戶商工因為譬如說汽修科所有的汽車實習的工廠全部都已經報廢了
transcript.whisperx[830].start 20868.18
transcript.whisperx[830].end 20889.173
transcript.whisperx[830].text 那也就慘不忍睹我們現在在汽車工廠整理好以後也幫忙大學端去報會的一個汽車有八部現在學校同意有四部要使用包含民間也願意來捐贈這些汽車修復的這些重型機具我想這我們都持續來做下個禮拜應該都能夠實體上
transcript.whisperx[831].start 20892.895
transcript.whisperx[831].end 20917.587
transcript.whisperx[831].text 教育部的這個部分的器具都有幫忙張羅那我們這邊掌握到的是教育部跟花蓮縣政府已經提供給學生網路卡分享器電腦課本行動載具我覺得這邊是相當好的但是我們也看到教師的教學需求有包含就是其實不是每個老師都能夠同時就是線上授課然後教室也上課這個混合實體上線的
transcript.whisperx[832].start 20920.228
transcript.whisperx[832].end 20949.488
transcript.whisperx[832].text 教材跟學習資源那另外我們也收到陳情教師其實有些本身就是受災戶他本身就很難來上課那包含以光復商工來講他的教職員工的深宿舍是集中宿舍目前復員的情況也不明那還有很多老師住在那所以是不是教育部能夠有一些更具體的方案那我自己提出三個訴求那個主席站起來但是理論上我應該還有三分鐘
transcript.whisperx[833].start 20951.108
transcript.whisperx[833].end 20966.073
transcript.whisperx[833].text 這第一個嚴寧彈性上課的方案讓仍然需要救災無法按表上課的師生他能夠兼顧學習也能夠清理家園那特別是出缺席的部分那能不能夠有一些補救的方案
transcript.whisperx[834].start 20966.613
transcript.whisperx[834].end 20992.401
transcript.whisperx[834].text 那第二個教學如果需要支援的話那軟體的部分我想教育部應該很熟悉很多軟體的資源是不是能夠謝謝委員提醒第三就是受災戶的老師教育部是不是能夠盡速盤點哪些老師本身就是受災戶那他要兼顧上課跟家庭讓老師安心復課我們也跟委員一樣都有關心那至於學校的私生的宿舍現在都已經全部都恢復了
transcript.whisperx[835].start 20994.541
transcript.whisperx[835].end 21007.789
transcript.whisperx[835].text 包含花蓮商工的部分宿舍全部恢復了嗎宿舍老師的部宿舍跟學生的宿舍基本上都已經清理完畢因為我們還有收到陳情不過沒關係 這個數字的部分沒有關係 我們會還有包含這三個訴求是不是兩個禮拜可以給本席書面報告好嗎可以
transcript.whisperx[836].start 21014.713
transcript.whisperx[836].end 21029.121
transcript.whisperx[836].text 謝謝部長在第一時間就努力的協助師生關於學校的部分這些部分我希望能夠緊緊讓大家看到教育部更細心的照顧他們的權益謝謝部長謝謝范雲委員謝謝部長接下來請劉淑冰委員劉淑冰委員不在
transcript.whisperx[837].start 21041.803
transcript.whisperx[837].end 21059.457
transcript.whisperx[837].text 現在請王定宇委員 王定宇委員 王定宇委員不在我們再請林淑芬委員 林淑芬委員 林淑芬委員不在邱政軍委員 邱政軍委員 邱政軍委員不在
transcript.whisperx[838].start 21060.592
transcript.whisperx[838].end 21074.753
transcript.whisperx[838].text 洪孟楷委員 洪孟楷委員 洪孟楷委員不在何新淳委員 何新淳委員 何新淳委員不在接下來我們請王振旭委員
transcript.whisperx[839].start 21084.592
transcript.whisperx[839].end 21096.037
transcript.whisperx[839].text 好 謝謝主席有請衛福部呂次長好 請呂次長社家署周代理署長還有內政部劉部長內政部劉部長嘛劉部長 內政部嘛內政部我們也可以請一個對不起
transcript.whisperx[840].start 21109.033
transcript.whisperx[840].end 21117.902
transcript.whisperx[840].text 社交署的郭州署長代理署長 郭代理署長內政部可以請國土法還是吳署長 吳署長 謝謝三位長官好 王委員好
transcript.whisperx[841].start 21131.021
transcript.whisperx[841].end 21151.074
transcript.whisperx[841].text 今天針對這次的任性特別預算想要針對在超高齡社會之下如何打造跨部會的獨居老人安全的照顧網來跟三位長官做個討論我們也了解在這次的社家署在任性特別預算裡面編列了強化
transcript.whisperx[842].start 21152.094
transcript.whisperx[842].end 21168.432
transcript.whisperx[842].text 獨居老人關懷服務有62.7億預計在115跟116年辦理相關強化獨居老人服務來針對擴大安全緊急救援裝置加強送餐服務等內容做一些處理
transcript.whisperx[843].start 21169.273
transcript.whisperx[843].end 21194.31
transcript.whisperx[843].text 我們先看一個數據就是從2020年到2025年我們針對獨具老人的安裝緊急救援連線從18%提高到27%人數也增加了將近1萬多位在中低收入的部分安裝率甚至到達了40%相信這個都是貴部還有包括社家屬努力的成果是的
transcript.whisperx[844].start 21194.73
transcript.whisperx[844].end 21221.093
transcript.whisperx[844].text 不過我相信這一次會再透過特別預算希望用更多元的方式來強化這方面的部分除了針對中低老人以外也希望有更務實的評估方式來針對所有符合條件的這些長者能夠提供原本是屬於居家式的也可以有更多的選擇包括穿戴式的選項這些部分都是讓我們非常肯定的地方
transcript.whisperx[845].start 21221.653
transcript.whisperx[845].end 21246.821
transcript.whisperx[845].text 那因應超高齡社會之下我們也相信有需要更多的照顧模式還有更好的安全照顧方式才能夠達到賴總統希望能夠在未來的八年裡面的兩個重大的目標一個就是讓平均愈命可以從79歲提升到82歲那另外不健康愈命可以從10%降低到8%這個都很需要更多跨部會的這些討論演繹還有執行
transcript.whisperx[846].start 21249.302
transcript.whisperx[846].end 21272.504
transcript.whisperx[846].text 所以今天我們有提出了三項政策性的建議來跟大家討論第一個部分就是用跨部會的研議獨居老人全面訪查詢問跟宣讀內容因為我們知道未來會針對於7萬位獨居老人做很完整的道普評估這個當然需要跟地方政府共同合作這個評估的內容裡面
transcript.whisperx[847].start 21274.566
transcript.whisperx[847].end 21295.791
transcript.whisperx[847].text 如何能夠更完整、更多元包括如何讓這個癌篩、健檢、三高防治等等都能夠納為這次的內容尤其更重要的就是防跌就是防止跌倒我們也知道老人家最擔心的就是防止就是最怕它跌倒導致的生命的影響這個部分就需要有運動跟營養的補充、保護
transcript.whisperx[848].start 21299.432
transcript.whisperx[848].end 21319.891
transcript.whisperx[848].text 還有在居家的部分 交通的部分也需要把好的照明還有好的防滑等措施也都能夠透過內政部的協助讓這個部分可以得到好的影響所以運動部 交通部等等所以這個全面啟動之前我們希望各個部會都要把這些內容都可以含括進來這是第一部分
transcript.whisperx[849].start 21320.211
transcript.whisperx[849].end 21339.651
transcript.whisperx[849].text 第二部分就是有關於緊急救援連線裝置的可能裡面除了救援以外以這次花蓮老字的危險避難緊急撤離等等能不能夠同時把這個功能也跟內政部這邊共同來研議把它納為相關的可能的措施
transcript.whisperx[850].start 21340.231
transcript.whisperx[850].end 21359.162
transcript.whisperx[850].text 最後一項就是要設定一個安裝率的目標是不是能夠在115年可以116年結束的時候可以到達50%的安裝率中低收入的部分可以到達60%類似的KPI這部分是不是就請大家一起共同來處理好的
transcript.whisperx[851].start 21359.682
transcript.whisperx[851].end 21383.409
transcript.whisperx[851].text 非常感謝王委員誠如王委員剛所說的這個是我們超高齡社會賴總統也非常非常關心這一塊這個部分我們確實就是跨部會特別我要感謝內政部這邊劉仕芳 劉部長他也特別有指示就是說我們兩部共同來做這個合作還有包括我們現在目前這次有通過的一個有一個老宅老宅的這一個更新的方案
transcript.whisperx[852].start 21383.829
transcript.whisperx[852].end 21409.251
transcript.whisperx[852].text 那這個部分衛福部也會跟內政部這邊我們共同來合作來給我們獨居老人一個最好的一個安全而且舒適的一個保障 謝謝所以我想最重要就是啟動調查之前在跟地方政府必須要有完整的內容這樣才能夠達到這個最好的目標沒錯 沒錯就大家共同努力好的 也非常感謝王委員一直以來對這個問題的關心 謝謝
transcript.whisperx[853].start 21417.421
transcript.whisperx[853].end 21432.379
transcript.whisperx[853].text 好 謝謝王振旭委員接下來請王紅薇委員 王紅薇委員 王紅薇委員不在楊瓊英委員 楊瓊英委員 楊瓊英委員不在接下來請吳佩奕委員發言
transcript.whisperx[854].start 21443.447
transcript.whisperx[854].end 21445.657
transcript.whisperx[854].text 感謝主席 我邀請內政部部長請內政部劉部長
transcript.whisperx[855].start 21462.865
transcript.whisperx[855].end 21490.564
transcript.whisperx[855].text 委員好部長好今天我們要審查的是任性的特別預算就在這個當下其實我們台灣仍然是面臨重大的災害的考驗在花蓮的馬太安的災情直到現在其實還需要很多的幫助那特別我一定要感謝我們政府各個部會以及我們的國軍在第一線真的是投入了很多的心力也提供很多的幫助那我想我們社會的任性需要繼續的努力
transcript.whisperx[856].start 21491.204
transcript.whisperx[856].end 21517.557
transcript.whisperx[856].text 同時我們也看到許多是來自台灣社會各地各個角落自發的鏟子超人也就是台灣自發的志工們一個一個的帶著一個鏟子穿著一雙雨鞋就來到現場來協助救災這個是讓人非常的感動但是我們也看到在桃園挖土機航的老闆林鴻森先生因為
transcript.whisperx[857].start 21519.639
transcript.whisperx[857].end 21542.207
transcript.whisperx[857].text 太盡力救災所以而往生這個其實也是令人相當的難過那我想無論如何救災防災這應當都是我們政府的責任那民力是我們台灣的民間的力量讓人非常的感動但是我們政府也要來思考我們怎麼樣可以跟民力有一個更好的合作如此來去增加增強我們台灣的防災的能力
transcript.whisperx[858].start 21544.508
transcript.whisperx[858].end 21551.173
transcript.whisperx[858].text 也讓我們今天審查這個預算的主題防災韌性它能夠更加的強韌那因為部長您同時是部長也是總統府全社會防衛韌性委員會的執密那我們在立法院有一個全民防衛連線那我也是會長所以今天特別想要跟部長您討論這個問題我在我的選區萬華跟南機場正好看到有幾個社福單位
transcript.whisperx[859].start 21567.506
transcript.whisperx[859].end 21586.56
transcript.whisperx[859].text 平時是在協助弱勢但是因為平常有儲備有準備有組織有空間所以在災時他們可以再迅速第一時間就來投入救災我想這是一個模式可以給我們來參考首先是這個休息關懷協會這個有一本書叫做工的人這作者林立青他成立了休息關懷協會一開始是在輔助我們萬華的街友
transcript.whisperx[860].start 21589.882
transcript.whisperx[860].end 21605.167
transcript.whisperx[860].text 教他們使用高壓清洗機到學校裡面來協助學校清洗這慢慢就成立了一個在社區裡面的災防的據點所以第一個有人有組織第二個有培訓平常就在培訓第三個他有物資有倉儲的空間
transcript.whisperx[861].start 21606.667
transcript.whisperx[861].end 21608.589
transcript.whisperx[861].text 那這邊我要特別感謝我們國防部的鎮戰局在去年的時候鎮戰局有兩個縣市過去是眷舍的空間來提供我們社區做公益的認養所以呢就讓另外兩個團體一個是新降堂這個是水電師傅職人組成的協會
transcript.whisperx[862].start 21624.221
transcript.whisperx[862].end 21640.948
transcript.whisperx[862].text 另外一個是效力志工團長期在台灣投入在地救災但是每次救災完例如說鏟子 手套 雨鞋這些東西丟掉可惜啊他們都把它重新清洗好再儲存起來所以我感謝國防部也提供這樣的空間讓我們在社區裡面有這樣子的災防據點
transcript.whisperx[863].start 21642.048
transcript.whisperx[863].end 21658.434
transcript.whisperx[863].text 那再來呢還有一個模式我覺得也很重要是叫做食物銀行這是在南機場我們有一位叫方和生里長長期投入食物銀行的工作他也曾經獲得總統文化獎那為什麼呢因為就在疫情的時候最嚴重的時候其實我們萬華南機場也曾經面臨幾乎是孤島的絕境物資送不進來
transcript.whisperx[864].start 21663.996
transcript.whisperx[864].end 21671.207
transcript.whisperx[864].text 所以呢在疫情之後方和勝里長就到台灣各地這次在花蓮他也有跟門諾基金會合作的食物銀行平常就來儲存需要的乾糧甚至盥洗用品相關的乾淨的內衣褲衣物都有
transcript.whisperx[865].start 21679.179
transcript.whisperx[865].end 21685.68
transcript.whisperx[865].text 所以呢在上個禮拜四期第一時間他們在當地就有空間就有車輛就有貨車也有長期配合著在地的大賣場超市第一時間就幫他們把乾糧送到災區了所以這都是長期平時就建立起來的所以我想這樣的來自民間的力量的這種災防的模式是很值得我們政府來去思考未來怎麼樣可以建立起來讓我們可以在民間的防災跟我們政府的
transcript.whisperx[866].start 21709.185
transcript.whisperx[866].end 21734.599
transcript.whisperx[866].text 各項的部會功能上面有一個更好的合作接下來我想要邀請部長你請留我請衛福部跟農業部一起來因為講到食物銀行食物銀行目前在我們中央的主管機關是衛福部因為它被放在社會救助可是在這一次的災防當中我們看到它食物銀行其實轉做物資儲備偏鄉運輸這樣子的功能
transcript.whisperx[867].start 21735.279
transcript.whisperx[867].end 21746.747
transcript.whisperx[867].text 那食物銀行專法我們已經講民間商業等了十多年了到現在沒有出來所以我特別也要跟內政部來討論就是說我覺得在防災裡面食物銀行也是一個很重要的一個角色所以呢我希望這個我們衛福部關於專法趕快去研議但是內政部未來在整個防災體系也可以把它納入來思考那我也要請教農業部
transcript.whisperx[868].start 21761.958
transcript.whisperx[868].end 21782.689
transcript.whisperx[868].text 農業部有一個主要業務叫做糧食安全目前你們有沒有把食物銀行納入糧食安全的業務呢我想我們目前我們的公糧收了以後我會把當期米提供一些比較弱勢的這些就是你們自己來做嗎我們有沒有在輔導民間成立食物銀行呢我們自己那是我們現在自己來做的部分那我們現在有跟一些
transcript.whisperx[869].start 21785.01
transcript.whisperx[869].end 21795.377
transcript.whisperx[869].text 量販店像一些量販店他把一些即將過期的有沒有這些東西進到區域性的食物銀行有去這是我們有跟他溝通我們有來協助美和好這個我再請這個最後就是我要特別拜託我們內政部在未來再去建立我們跟民間的這個災防的合作的模式當中可以就這一次花蓮的經驗我們來汲取一些讓未來我們的災防據點可以更多
transcript.whisperx[870].start 21814.349
transcript.whisperx[870].end 21841.053
transcript.whisperx[870].text 好 我們一定會提出精進的方案好 謝謝部長 謝謝主席好 謝謝吳佩儀委員的發言接下來請劉建國委員劉建國委員劉建國委員不在接下來請黃婕委員黃婕委員黃婕委員不在好 接下來請林楚英委員
transcript.whisperx[871].start 21852.123
transcript.whisperx[871].end 21855.514
transcript.whisperx[871].text 謝謝主席各位部會首長都辛苦了有請國防部顧部長好 請顧部長
transcript.whisperx[872].start 21867.701
transcript.whisperx[872].end 21887.563
transcript.whisperx[872].text 林委員好部長好我剛剛看到一個最新的訊息是聯合報它在剛剛1點57分發的是說華爾街日報表示冰推顯示台灣天然氣庫僅存11天中國只要透過檢疫就可以逼台灣限電
transcript.whisperx[873].start 21889.285
transcript.whisperx[873].end 21910.608
transcript.whisperx[873].text 我想這個題目就是台灣在面對中國封鎖的時候到底我們在油料在戰備物資能夠撐多久一直以來像剛剛有質詢的這個民眾黨的張祺凱委員又或者是像國民黨的朱立倫主席在辦這個所謂公投的時候也曾經都一直的存疑
transcript.whisperx[874].start 21911.969
transcript.whisperx[874].end 21928.838
transcript.whisperx[874].text 其實這一次我們在有關於這一次的特別預算的時候我知道這個民眾黨國民黨在乎的都是要不要發一萬那麼其實在所有的預算當中除了財政部要不要發一萬發現金之外最重要也佔比例
transcript.whisperx[875].start 21929.858
transcript.whisperx[875].end 21948.448
transcript.whisperx[875].text 有20.6%的就是1132億的國防韌性那麼其實這個國防韌性裡面又分三大點本席特別看了一下強化指管通訊韌性這個當然就是擔心我們在
transcript.whisperx[876].start 21949.878
transcript.whisperx[876].end 21969.175
transcript.whisperx[876].text 有關於真的遇到國家危難狀況的時候通訊會不會斷離但是有關於設備更新戰備厚實能量的部分建立彈藥庫有24億然後飲用水有20億然後這個有關於軍品跟保修工廠庫儲的設備就高達233億
transcript.whisperx[877].start 21975.48
transcript.whisperx[877].end 22003.425
transcript.whisperx[877].text 這個部分部長可不可以詳細的做解說因為現在我相信非常多在野黨的委員會認為就是為什麼不放在所謂的長年編的預算要放在特別預算而且是在115年 116年就要來做執行這個是不是扣合了在野黨的擔憂扣合了國際媒體的擔憂這些錢到底花在什麼地方 部長
transcript.whisperx[878].start 22005.515
transcript.whisperx[878].end 22020.788
transcript.whisperx[878].text 特別預算當然特別強調韌性在國防的這一塊裡面在戰備用油的部分跟委員報告因為我們平時是自囤戰備用油但是我們為了敵情的威脅日趨嚴峻我們現在是規劃
transcript.whisperx[879].start 22022.565
transcript.whisperx[879].end 22044.631
transcript.whisperx[879].text 規劃要向中油來採購32億多的戰備油料由中油代囤之後我們會因此會成為一個分散的囤儲會這樣的囤儲來多元供普的方式來強化我們儲油的一個韌性這一個我想維持儲油的韌性對我們的整個戰備的一個持續力是非常重要的
transcript.whisperx[880].start 22045.512
transcript.whisperx[880].end 22061.569
transcript.whisperx[880].text 另外有關水的部分主要是在強調長效期的飲用水的儲量因為我們過去作業維持會裡面所規範的瓶裝飲用水是屬於一年期的
transcript.whisperx[881].start 22062.089
transcript.whisperx[881].end 22078.671
transcript.whisperx[881].text 我們現在要囤儲的是5到7年期的參考日本的做法跟我們國內相關的產能我們可以生產這些5到7年期的飲用水這一方面可以降低經常退耗的品質另外一方面當然就是整個的飲用水的這樣子的一個韌性能夠建構
transcript.whisperx[882].start 22080.573
transcript.whisperx[882].end 22103.052
transcript.whisperx[882].text 那另外零附件的部分呢我們也要籌補因為我們一般的年度的作業維持會只能夠滿足這個裝備的妥善跟平時這個演訓的需求所以有餘裕才會補充這個戰備存量那我們現在能要快速的來補充戰備的需求量的話就要用這個特別預算來加強我們後勤的一個資深的韌性
transcript.whisperx[883].start 22103.933
transcript.whisperx[883].end 22120.619
transcript.whisperx[883].text 好部長因為剛好有這樣的一個華爾街日報的新聞嘛質疑台灣目前只有11天天然氣的庫存所以說我可不可以具體的問因為時間到了只剩下最後一分鐘喔就是在我們的這個1132億加強國防韌性尤其是在設備更新後時戰備能量
transcript.whisperx[884].start 22127.941
transcript.whisperx[884].end 22141.672
transcript.whisperx[884].text 在這兩年補上來之後我們可以延長多少一旦台灣面臨封鎖的時候我們是不是就可以再多撐一點可以多撐多久那這個部分部長能不能回應
transcript.whisperx[885].start 22142.809
transcript.whisperx[885].end 22168.96
transcript.whisperx[885].text 我想大家關切人員的脆弱性都是在LNG就是屬於液化天然石油氣的部分液化天然氣的部分那在液化天然氣的部分的相關的供應當然我們也有我們的一些計畫存在但是這個我想沒有辦法公開來說明但是我們國軍內部所需要
transcript.whisperx[886].start 22169.6
transcript.whisperx[886].end 22198.223
transcript.whisperx[886].text 作戰所需要的這些持有的這個儲備的能力這個我們需要快速的提升那這同樣也反映到我們的彈藥的囤儲我們新式的武器籌貨之後彈藥的囤儲我們也要加大整件我們的彈藥囤儲的設施然後讓我們的彈藥囤儲的這個能量整個能夠提升所以有油跟這個彈藥的這個大量的囤儲才能夠讓我們的這個支撐我們的戰變的能量到達一個我們認為可以的程度這樣子
transcript.whisperx[887].start 22198.703
transcript.whisperx[887].end 22226.975
transcript.whisperx[887].text 好 所以言下之意就是我做個結論因為主席已經站起來那就是在有關於國防戰力提升的部分這個部分也許在野黨的委員磨刀霍霍但是又要馬兒好也要讓馬兒能夠有草吃我們才有能力來面對中國或者是其他外在的威脅所以這個部分我讓部長已經講得很清楚了也希望明天在進行預算審查的時候在野黨的委員過去一直在質疑我們一旦面對封鎖
transcript.whisperx[888].start 22228.235
transcript.whisperx[888].end 22248.527
transcript.whisperx[888].text 我們要如何來做防衛的提升這個部分就是花在這裡也希望部長跟國防部要好好的做一個解釋跟說明不要讓在野黨委員磨刀霍霍就砍掉了那這等於是砍掉了我們的國防安全砍掉了我們的命脈是 相關的個案可能需要明天才能夠來再跟委員做個指教這樣好 謝謝好 謝謝林楚昀委員部長請回
transcript.whisperx[889].start 22256.078
transcript.whisperx[889].end 22275.781
transcript.whisperx[889].text 接下來請徐宇貞委員 徐宇貞委員 徐宇貞委員不在接下來請謝易鳳委員 謝易鳳委員 謝易鳳委員不在再請陳超明委員 陳超明委員 陳超明委員不在
transcript.whisperx[890].start 22279.378
transcript.whisperx[890].end 22308.22
transcript.whisperx[890].text 報告委員會我們今日登記發言的委員均已詢答完畢現在進行討論事項及臨時提案之處理請議事人員宣讀今日審查預算案之審查項目提案共計兩百三十七案宣讀完畢後休息那我們明日上午九時繼續開會處理預算提案請各位列席的官員現在可以先行離席
transcript.whisperx[891].start 22319.45
transcript.whisperx[891].end 22326.801
transcript.whisperx[891].text 宣讀中央政府意念國際形勢強化經濟社會及民生國安任性特別預算案114至116年度
transcript.whisperx[892].start 22330.526
transcript.whisperx[892].end 22352.031
transcript.whisperx[892].text 募的內容請委員自行參閱一 收入合計五千五百億元一 稅入無劣數二 債務職舉借一千零五十六億元一百一十四年度一千零五十六億元一百一十五年度一百一十六年度均無劣數三 已用以前年度稅計剩餘四千四百四十四億元一百一十四年度
transcript.whisperx[893].start 22353.294
transcript.whisperx[893].end 22356.336
transcript.whisperx[893].text 1739億1723萬9千元115年度1241億6851萬8千元116年度1463億1424萬3千元二支出合計5500億元稅出5500億元114年度2795億元
transcript.whisperx[894].start 22375.049
transcript.whisperx[894].end 22378.131
transcript.whisperx[894].text 17239000元115年度1241億6851萬8000元116年度1463億1424萬3000元第一款內政部主管112億5000萬元114年度520萬元115年度57億1966萬4000元116年度55億2513萬6000元
transcript.whisperx[895].start 22402.303
transcript.whisperx[895].end 22413.346
transcript.whisperx[895].text 第一项国土管理署级所属57亿5000万元114年度200万元115年度28亿7400万元116年度28亿7400万元第二项警政署级所属39亿1480万元114年度无劣数115年度24亿3346万4千元116年度14亿8133万6千元
transcript.whisperx[896].start 22429.591
transcript.whisperx[896].end 22434.494
transcript.whisperx[896].text 第三項消防署級所屬15億8520萬元114年度320萬元115年度4億1220萬元116年度11億6980萬元第二款國防部主管1131億8776萬4千元114年度列數115年度357億020萬7千元
transcript.whisperx[897].start 22454.584
transcript.whisperx[897].end 22465.572
transcript.whisperx[897].text 116年度774亿8755万7千元第一项国防部2亿1123万元114年度无劣数115年度1亿6623万元116年度4500万元第二项国防部所属1129亿7653万4千元114年度无劣数115年度355亿3397万7千元
transcript.whisperx[898].start 22481.983
transcript.whisperx[898].end 22506.573
transcript.whisperx[898].text 一百一十六年度七千七百七百七十四億四千兩百五十五萬七千元第三款財政部主管兩千五百億一千一百一十四年度二四零二億元一百一十五年度九十億元一百一十六年度八億元第一項國庫數兩千五百億元一百一十四年度二四零二億元一百一十五年度九十億元
transcript.whisperx[899].start 22508.154
transcript.whisperx[899].end 22514.584
transcript.whisperx[899].text 116年度8億元第四款教育部主管200億元114年度32億2000萬元115年度72億2000萬元116年度95億6千萬元第一項教育部200億元
transcript.whisperx[900].start 22523.456
transcript.whisperx[900].end 22528.339
transcript.whisperx[900].text 114年度32億2000萬元115年度72億2000萬元116年度95億6000萬元第五款經濟部主管460億元114年度78億4400萬元115年度231億3765萬元116年度150億1835萬元
transcript.whisperx[901].start 22550.902
transcript.whisperx[901].end 22554.284
transcript.whisperx[901].text 第一項經濟部19億5000萬元 114年度3億2500萬元115年度8億3750萬元 116年度7億8750萬元第二項產業發展署203億5000萬元 114年度17億8300萬元115年度123億7200萬元
transcript.whisperx[902].start 22573.377
transcript.whisperx[902].end 22575.998
transcript.whisperx[902].text 116年度61億9500萬元第三項國際貿易署97億元114年度4億8500萬元115年度43億8500萬元116年度48億3000萬元第四項商業發展署26億5000萬元
transcript.whisperx[903].start 22592.506
transcript.whisperx[903].end 22596.39
transcript.whisperx[903].text 114年度7億零900萬元115年度11億4100萬元116年度8億元第五項中小及新創企業署113億5000萬元114年度45億4200萬元115年度44億零215萬元116年度24億零585萬元
transcript.whisperx[904].start 22616.447
transcript.whisperx[904].end 22632.218
transcript.whisperx[904].text 第六款 勞動部主管 二百五十億元一百一十四年度 三十億二千七百一十三萬三千元一百一十五年度 一百六十億零二七二萬八千元一百一十六年度 五十八億七零一三萬九千元
transcript.whisperx[905].start 22633.158
transcript.whisperx[905].end 22639.92
transcript.whisperx[905].text 第一項勞動部100億元114年度無劣數115年度100億元116年度無劣數第二項勞動力發展署及所屬150億元114年度30億27億3萬3千元115年度61億0272萬8千元116年度58億7千013萬9千元第七款農業部主管190億元114年度47億699
transcript.whisperx[906].start 22662.227
transcript.whisperx[906].end 22674.277
transcript.whisperx[906].text 6万5千元115年度76亿2351万元116年度66亿652万5千元第一项农业部180亿元114年度45亿9482万5千元115年度71亿3108万元116年度62亿7409万5千元第二项渔业属及所属2亿元
transcript.whisperx[907].start 22691.39
transcript.whisperx[907].end 22697.653
transcript.whisperx[907].text 114年度1514萬元115年度9243萬元116年度9243萬元第三項農糧暑期暑暑8億元114年度1億6千萬元115年度4億元116年度2億4千萬元第八款衛生福利部主管360億元114年度200億元115年度
transcript.whisperx[908].start 22718.522
transcript.whisperx[908].end 22722.003
transcript.whisperx[908].text 116億7763萬7千元116年度43億2236萬3千元第一項衛生福利部261億9779萬元114年度200億元115年度57億2154萬元116年度4億7625萬元
transcript.whisperx[909].start 22744.537
transcript.whisperx[909].end 22749.441
transcript.whisperx[909].text 第二項社會及家庭署98億0221萬元114年度無劣數115年度59億5609萬7千元116年度38億4611萬3千元第九款海洋委員會主管295億6223萬6千元114年度4億5094萬1千元115年度79億8712萬2千元
transcript.whisperx[910].start 22771.081
transcript.whisperx[910].end 22799.2
transcript.whisperx[910].text 一百一十六年度 兩百一十一億 兩千四百一十七萬三千元第一項 海巡署及所屬 二百八十四億 六千兩百九十三萬八千元一百一十四年度 四億五千零九十四萬一千元一百一十五年度 七十四億 四千九百八十一萬元一百一十六年度 二百零五億 六千兩百一十八萬七千元第二項 國家海洋研究院 十億九千九百二十九萬八千元
transcript.whisperx[911].start 22800.225
transcript.whisperx[911].end 22827.006
transcript.whisperx[911].text 一百一十四年度五列數一百一十五年度五億三千七百三十一萬兩千元一百一十六年度五億六千一百九十八萬六千元有關證實別稅出預算水準以上機關別審查結果調整現在宣讀提案第一案簡略普發現金媒體費
transcript.whisperx[912].start 22830.985
transcript.whisperx[912].end 22848.877
transcript.whisperx[912].text 經濟部勞動部衛生福利部媒體政策及業務宣導費八千零四十一萬四千元減劣處處罰現金沒宣費一千一千三百五十萬元以外其他業務費沒宣費減劣百分之三十提案委員王宏偉等人
transcript.whisperx[913].start 22850.785
transcript.whisperx[913].end 22859.419
transcript.whisperx[913].text 第二案行政院應持續協助高雄基礎建設及交通建設計畫應與交通部國發會共同推動區域產業廊帶
transcript.whisperx[914].start 22862.431
transcript.whisperx[914].end 22883.32
transcript.whisperx[914].text 與綠色基礎建設納入國土永續發展綱要年度檢討機制提案委員賴瑞榮等人第三案因應南北產業資源失衡行政院因編列預算支持經濟部與高雄設置研發中心強化產學合作結合高雄科技大學等單位建立研發聯盟
transcript.whisperx[915].start 22885.086
transcript.whisperx[915].end 22909.999
transcript.whisperx[915].text 每半年向立法院提出南北研發能量分布進度報告提案委員賴瑞榮等人針對1962年貿易擴張法行政院依責成相關部會強化資訊公開對關稅談判相關進度事實對外說明維護談判正當性及國家利益提案委員賴瑞榮等人
transcript.whisperx[916].start 22912.2
transcript.whisperx[916].end 22920.024
transcript.whisperx[916].text 對美關稅談判的結果行政院應與單獨議案送立法院實質審議內容應至少包含談判歷程結果區分個別產業之衝擊評估及各該因應對策提案委員張祺凱等人
transcript.whisperx[917].start 22927.208
transcript.whisperx[917].end 22955.18
transcript.whisperx[917].text 第六案行政院應與一個月內在台美關稅談判及產業支持方案網站公開簽署專業智庫之關稅衝擊評估以維護人民知的權利提案委員張祺凱等人建請主計總署對特別預算有無技術性補回公務預算以及到底強化多少任性質量化資料提出書面報告提案委員林德福等人
transcript.whisperx[918].start 22956.38
transcript.whisperx[918].end 22980.451
transcript.whisperx[918].text 第八案請行政院協調內政部及交通部提出機場安檢人力補強與智慧化系統建置進度書面報告內容說明各機場安檢儀器設備升級計畫運用先進科技取代傳統人力具體方案預算編列與期程規劃建置跨部會協調機制提案委員邱志偉等人
transcript.whisperx[919].start 22982.014
transcript.whisperx[919].end 22995.888
transcript.whisperx[919].text 第九案為恢復財政部透明度與取債紀律避免特別預算常態化原要求行政院將經常性支出與可預見計畫回歸總預算處理提案委員徐欣盈等人
transcript.whisperx[920].start 22998.157
transcript.whisperx[920].end 23019.414
transcript.whisperx[920].text 第十案 經濟部 勞動部 衛生福利部 媒體政策及業務宣導經費預算數八千零四十一萬四千元 減列百分之二十 提案委員徐旭銘等人十一案 台美關稅談判中 農業攸關國家存糧與食品安全 謀求台灣最佳利益外投食因守護
transcript.whisperx[921].start 23021.977
transcript.whisperx[921].end 23026.561
transcript.whisperx[921].text 農業敏感產品相關談判中不能將農業農產品作為談判籌碼輕易犧牲提案委劉建國等人第十二案
transcript.whisperx[922].start 23034.181
transcript.whisperx[922].end 23063.237
transcript.whisperx[922].text 要求行政院及農業部應於本次特別預算內納入進口受影響之補助與協助並於預留後續編列至兩百億元額度運用時優先支持農業提案委員郭國文等人十三案內政部應要求受託辦理計畫輔導工作專業團隊協助民眾成立公寓大廈管理委員會提供七樓以下無管委會公寓所有權人專案申請協助強化嘉義市老舊公寓
transcript.whisperx[923].start 23065.27
transcript.whisperx[923].end 23087.048
transcript.whisperx[923].text 安全維護管理機制辦理情形已書面報告送立法院提案委員王美惠等人內政部在補助地方政府辦理防災協作中心及村裡防救災緊急衛生設備建置時應建立重點設備採購清單供地方政府參考
transcript.whisperx[924].start 23088.382
transcript.whisperx[924].end 23099.964
transcript.whisperx[924].text 加速推動防災式培訓人力強化地方政府防救災能力辦理情形書面報告提交立法院提案委員王美惠等人
transcript.whisperx[925].start 23102.869
transcript.whisperx[925].end 23120.347
transcript.whisperx[925].text 15案建議內政部除既有屋齡結構評估外應同步納入居住與使用情形建立自住長者或弱勢家庭優先的補助順序確保政策資源能真正落實在需要者身上提案委員張雅玲等人
transcript.whisperx[926].start 23122.97
transcript.whisperx[926].end 23133.886
transcript.whisperx[926].text 建起内政部就无人机采购计划等细节包括国内外厂商比例等制作完整报告提案委员李坤成等人
transcript.whisperx[927].start 23137.09
transcript.whisperx[927].end 23155.481
transcript.whisperx[927].text 17 加強照顧弱勢族群及提供關懷服務似乎無法看出對老舊房屋韌性強化的預算執行特殊性建請內政部能提出具體數據說明向立法院提出報告提案委員林德福等人
transcript.whisperx[928].start 23157.754
transcript.whisperx[928].end 23176.59
transcript.whisperx[928].text 老宅延壽機能復興計畫現行申請條件僅限於公寓大廈管理委員會或全體所有權人共同提出形成制度障礙要求內政部國土管理署詳細妥適相關規範避免執行上產生障礙提案委員徐欣盈等人
transcript.whisperx[929].start 23178.723
transcript.whisperx[929].end 23200.279
transcript.whisperx[929].text 老舊老宅延壽機能復興計畫及改善公有建築物防火避難空間及設備目前尚未建立公開透明資量化KPI與進度儀表板要求內政部建置老屋修繕進度公開儀表板並每月固定更新提案委員習新穎等人
transcript.whisperx[930].start 23202.651
transcript.whisperx[930].end 23220.953
transcript.whisperx[930].text 老宅延壽機能復興計畫系配合長照政策內政部應將補助項目標準化為一戶三包應屆接衛福部長照3.0要求內政部國土管理署提出妥適方案提出專案報告送立法院
transcript.whisperx[931].start 23223.856
transcript.whisperx[931].end 23247.393
transcript.whisperx[931].text 21 要求內政部優先盤點出全國各縣市村裡防救災緊急維生設備不足需補強的名單並優先補助偏鄉村裡建置提出計畫落實地方政府辦理防災緊急維生設備及疏散撤離教育訓練提案委員劉建國等人
transcript.whisperx[932].start 23249.623
transcript.whisperx[932].end 23270.583
transcript.whisperx[932].text 凍結內政部主管國土管理署及所屬老屋修繕五千萬元提出專案報告經同意後使的凍資提案委員黃仁等人內政部老屋修繕預算
transcript.whisperx[933].start 23274.949
transcript.whisperx[933].end 23283.906
transcript.whisperx[933].text 五十億元凍結該項預算五千萬元提出專案報告同意後 使得凍資提案委員書 興權等人
transcript.whisperx[934].start 23286.437
transcript.whisperx[934].end 23310.545
transcript.whisperx[934].text 二十四案內政部編列老宅延壽機能復興計畫增進高齡族群居住安全建議應參考地方政府之整建維護方案研議將電梯或其他類型升降設備納入方案搭配宣傳輔導機制協助住戶整合提案委員吳佩義等人內政部國土管理署
transcript.whisperx[935].start 23317.017
transcript.whisperx[935].end 23336.37
transcript.whisperx[935].text 老宅延壽機能復興計劃系公寓大廈管理委員會或全部所有權人同意並提出申請為原則會提升相關計劃達成率應延逸降低同意並提出申請之門檻或相關經濟措施提案委員黃仁等人
transcript.whisperx[936].start 23341.85
transcript.whisperx[936].end 23367.785
transcript.whisperx[936].text 編列老屋修繕項目辦理老宅延壽機能復興計畫為實務上各所有全人對修繕意見整合不易可能導致本計畫推動困難建起內政部國土署提出具體協助整合居民意見之規劃書面報告提案委員張宏祿等人二十七案國土管理署及所屬編列強化國土防衛能量
transcript.whisperx[937].start 23370.194
transcript.whisperx[937].end 23383.519
transcript.whisperx[937].text 辦理公有避難空間及設備改善計劃行政業務與審查及輔導業務費一千五百萬元三減該項費用三百萬元提案委員賴世寶等人
transcript.whisperx[938].start 23385.069
transcript.whisperx[938].end 23412.973
transcript.whisperx[938].text 二十八案 凍結內政部主管警政署及所屬一千萬元提出專案報告經同意後 使得凍結提案委員黃仁等人內政部警政署及所屬向下改善公有建築物防火避難空間及設備編列預算五億元凍結該項預算百分之十提出專案書面報告使得凍結提案委員黃仁等人三十案
transcript.whisperx[939].start 23415.495
transcript.whisperx[939].end 23417.356
transcript.whisperx[939].text 內政部消防署及所屬預算數15億8250萬元凍結該項預算10%提出書面報告後 使得動之提案委員吳麗華等人
transcript.whisperx[940].start 23436.323
transcript.whisperx[940].end 23453
transcript.whisperx[940].text 31 案 內政部消防署提出書面報告具體說明未來如何平衡防災室性別比例如何擴大女性及多元族群參與的策略進階防災室培訓規劃計畫提案委員張雅玲等人
transcript.whisperx[941].start 23454.541
transcript.whisperx[941].end 23468.892
transcript.whisperx[941].text 三十二案 建起內政部消防署針對高危險及偏鄉地區優先辦理防災協作中心及村里防救災緊急衛生設備建置方案之書面報告提案委員鍾嘉斌等人
transcript.whisperx[942].start 23471.554
transcript.whisperx[942].end 23489.56
transcript.whisperx[942].text 建起內政部消防署針對辦理防災協作中心及村裡防救災緊急衛生設備建置之裝置裝設備分類及其妥善維持方案提出書面報告提案委員鍾嘉斌等人
transcript.whisperx[943].start 23492.504
transcript.whisperx[943].end 23521.203
transcript.whisperx[943].text 國防部所屬強化國土防衛能量凍結預算五千萬元提出專案報告同意後使得凍結提案委員輸精全三十五案凍結國防部主管國防部所屬強化國土防衛能量五千萬元提出專案報告同意後使得凍結提案委員黃仁等人三十六案國防部
transcript.whisperx[944].start 23522.924
transcript.whisperx[944].end 23530.051
transcript.whisperx[944].text 主管國防部所屬強化國土防衛能量預算數426億4655萬4千元凍結5千萬元提案委員黃仁等人
transcript.whisperx[945].start 23539.88
transcript.whisperx[945].end 23552.504
transcript.whisperx[945].text 三十七案國防部所屬強化國土防衛能量凍結該預算五千萬元提出專案報告經同意後使得動之提案委員蘇清泉三十八案
transcript.whisperx[946].start 23555.585
transcript.whisperx[946].end 23571.496
transcript.whisperx[946].text 三檢 三十八案 國防部三檢戰備營用水七億元軍車集用場整修三十億元合計三點三十八萬元 三十八億元提案委員賴世寶等人
transcript.whisperx[947].start 23576.929
transcript.whisperx[947].end 23596.853
transcript.whisperx[947].text 三十九案三檢國防部強化國土防衛能量有關陸軍司令部之建立長效期飲用水建制案業務費七億八千九百四十二萬元提案委員馬文君等人
transcript.whisperx[948].start 23600.131
transcript.whisperx[948].end 23615.663
transcript.whisperx[948].text 三檢國防部強化國土防衛能量陸軍後備部隊經理庫存設備設施擴增案業務費396萬元設備投資向下1254萬元提案委員馬文君等人
transcript.whisperx[949].start 23632.367
transcript.whisperx[949].end 23640.749
transcript.whisperx[949].text 三檢國防部強化國土防衛能量有關陸軍各營區軍車鋼棚整建工程案業務費14億9354萬元提案委員馬文君等人三檢國防部強化國土防衛能量有關陸軍後勤部隊等167處庫
transcript.whisperx[950].start 23659.955
transcript.whisperx[950].end 23662.947
transcript.whisperx[950].text 除色濕整修案所需業務費
transcript.whisperx[951].start 23666.666
transcript.whisperx[951].end 23681.373
transcript.whisperx[951].text 設備及投資費共計13億元提案委員馬英軍等人三檢國防部強化國土防衛能量有關陸軍後勤部隊等167處庫儲設備整修案所需業務費設備及投資費合計1億0767萬元提案委員馬英軍等人
transcript.whisperx[952].start 23693.075
transcript.whisperx[952].end 23706.082
transcript.whisperx[952].text 三檢國防部強化國土防衛能量有關陸軍司令部斗範平時距離靶場整修工程所需業務費
transcript.whisperx[953].start 23708.615
transcript.whisperx[953].end 23726.53
transcript.whisperx[953].text 一千萬元提案委員馬文君等人三檢國防部強化國土防衛能量陸軍司令部部訓部游泳池整修工程所需業務費三千六百一十四萬元提案委員馬文君等人
transcript.whisperx[954].start 23727.971
transcript.whisperx[954].end 23750.19
transcript.whisperx[954].text 三檢國防部強化國土防衛能量陸軍司令部部訓部游泳池整修工程業務費兩千萬元提案委員馬文君三檢國防部強化國土防衛能量陸軍司令部金融刺口徑靶場整修工程業務費八百萬元提案委員馬文君
transcript.whisperx[955].start 23751.171
transcript.whisperx[955].end 23778.092
transcript.whisperx[955].text 三檢國防部強化國土防衛能量有關陸軍洪財臨時距離靶場整修工程所需業務費及設備投資費合計3300萬元提案委員馬文君等人三檢國防部強化國土防衛能量陸軍司令部斗範平時距離靶場整修工程業務費1500萬元提案委員馬文君等人
transcript.whisperx[956].start 23782.498
transcript.whisperx[956].end 23792.38
transcript.whisperx[956].text 三檢國防部強化國土防衛能量陸軍司令部馬防部戰備坑道防火防毒門整建工程所需業務費
transcript.whisperx[957].start 23796.888
transcript.whisperx[957].end 23809.998
transcript.whisperx[957].text 1396萬元提案委員馬英軍等人三檢國防部強化國土防衛能量有關陸軍司令部凌雲港時距離靶場整修工程所需業務費1500萬元提案委員馬英軍等人
transcript.whisperx[958].start 23814.923
transcript.whisperx[958].end 23824.457
transcript.whisperx[958].text 三檢國防部強化國土防衛能量有關司令部校準部420訓練場整修工程所需業務費
transcript.whisperx[959].start 23826.753
transcript.whisperx[959].end 23853.032
transcript.whisperx[959].text 四千四百八十七萬元提案委員馬文君等人三檢國防部強化國土防衛能量有關陸軍司令部校準部戰車刺口徑把車訓練設施改善工程及校準部訓練場設施改業務費一億五千七百零六萬元提案委員馬文君等人
transcript.whisperx[960].start 23854.358
transcript.whisperx[960].end 23879.868
transcript.whisperx[960].text 三檢國防部強化國土防衛能量入軍司令部教準部金湯營區教學設施整修工程業務費3500萬元提案委員馬文君等人三檢國防部強化國土防衛能量入軍司令部教準部教學大樓暨砲塔教室訓練設施改善工程業務費
transcript.whisperx[961].start 23881.269
transcript.whisperx[961].end 23906.996
transcript.whisperx[961].text 六千三百七十五萬元提案委員馬文君等人三檢國防部強化國土防衛能量司令部陸軍司令部校準部校準部步兵港飛行訓練場整建工程業務費一億三千萬元提案委員馬文君等人
transcript.whisperx[962].start 23908.135
transcript.whisperx[962].end 23933.502
transcript.whisperx[962].text 三檢國防部強化國土防衛能量陸軍司令部八軍團有限電教練場整修工程業務費一千三百萬元提案委員馬文君等人三檢國防部強化國土防衛能量陸軍司令部八軍團訓練道路整修工程業務費四千六百一十八萬元提案委員馬文君等人
transcript.whisperx[963].start 23934.762
transcript.whisperx[963].end 23942.39
transcript.whisperx[963].text 三檢國防部強化國土防衛能量陸軍司令部農林營區自走流彈砲車地平訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練場訓練
transcript.whisperx[964].start 23961.088
transcript.whisperx[964].end 23985.648
transcript.whisperx[964].text 雙連坡十距離 靶場隔音牆際遮擋板整修工程三千萬元 提案委員馬文君等人三檢國防部強化國土防衛能量陸軍司令部太平里十距離靶場整修工程所需業務費 設備及投資費合計一千六百三十萬元
transcript.whisperx[965].start 23987.065
transcript.whisperx[965].end 24010.067
transcript.whisperx[965].text 提案委員馬文君等人三檢國防部強化國土防衛能量陸軍司令部五老坑十距離靶場隔音牆整修工程所需業務費七百萬元提案委員馬文君等人三檢國防部強化國土防衛能量有關陸軍司令部校準部進階
transcript.whisperx[966].start 24012.069
transcript.whisperx[966].end 24016.473
transcript.whisperx[966].text 戰鬥訓練場多功能電子系統採購所需業務費570萬元提案委員馬雲軍等人三檢國防部強化國土防衛能量陸軍司令部實軍團500障礙場暨單兵戰鬥教練場整修工程所需業務費及設備及投資費
transcript.whisperx[967].start 24038.82
transcript.whisperx[967].end 24049.79
transcript.whisperx[967].text 合計953萬元提案委員馬文君等人三檢國防部強化國土防衛能量有關陸軍司令部時軍團成功領記陸勤部
transcript.whisperx[968].start 24055.14
transcript.whisperx[968].end 24079.593
transcript.whisperx[968].text 游泳池整修工程所需業務費、設備及投資費合計700萬元提案委員馬文君等人三檢國防部強化國土防衛能量有關陸軍司令部考談靶場自動化靶機建置案所需業務費及設備及投資費合計924萬2千元提案委員馬文君等人
transcript.whisperx[969].start 24081.383
transcript.whisperx[969].end 24091.969
transcript.whisperx[969].text 三檢國防部強化國土防衛能量有關陸軍司令部八軍團有線電教練場整修工程所需業務務費878萬元提案委員馬文君等人
transcript.whisperx[970].start 24097.192
transcript.whisperx[970].end 24120.642
transcript.whisperx[970].text 三檢國防部強化國土防衛能量有關陸軍司令部六軍團等八個單位指揮所整建工程所需業務費五千九百三十三萬四千元提案委員馬雲君等人三檢強化國土防衛能量有關六軍團等十四個單位戰情中心整建工程案所需業務費
transcript.whisperx[971].start 24122.546
transcript.whisperx[971].end 24144.641
transcript.whisperx[971].text 一億零五百萬元提案委員馬文君等人三檢強化國土防衛能量有關陸軍工程有關陸軍工兵群老舊工兵機械汰換案所需業務費所需業務費十一億五千兩百萬元提案委員馬文君等人
transcript.whisperx[972].start 24146.882
transcript.whisperx[972].end 24172.221
transcript.whisperx[972].text 三檢國防部強化國土防衛能量海軍佐支部齊金廠區維強案所需業務費一千萬元提案委員馬文君等人三檢國防部強化國土防衛能量海軍陸指部戒護兵力戰備整備車保整修案所需業務費
transcript.whisperx[973].start 24175.161
transcript.whisperx[973].end 24198.972
transcript.whisperx[973].text 兩億三千萬元提案委員馬文君等人三檢國防部強化國土防衛能量海軍左支部左營基地道路鋪設及搶修案所需業務費九千八百萬元提案委員馬文君等人三檢國防部強化國土防衛能量有關陸戰六十六旅
transcript.whisperx[974].start 24200.012
transcript.whisperx[974].end 24222.47
transcript.whisperx[974].text 水上特種訓練場新增外牆封板工程案所需業務費2893萬元提案委員馬文君等人三檢國防部強化國土防衛能量向下海軍校準部九二教練儀館天線基座鐵架整修案
transcript.whisperx[975].start 24226.506
transcript.whisperx[975].end 24237.088
transcript.whisperx[975].text 1575萬元提案委員馬文君等人三檢國防部強化國土防衛能量向下海軍登陸戰車訓場整修案業務費2418萬元提案委員馬文君等人
transcript.whisperx[976].start 24243.34
transcript.whisperx[976].end 24272.148
transcript.whisperx[976].text 三檢國防部強化國土防衛能量有關空軍校準部防訓中心綜合訓練中心及體育館整修案所需業務費兩千萬元提案委員馬文君等人三檢國防部強化國土防衛能量有關空軍校準部戰機訓練場鋼棚整修案業務費三千萬元提案委員馬文君等人
transcript.whisperx[977].start 24273.335
transcript.whisperx[977].end 24274.2
transcript.whisperx[977].text 三件國防部
transcript.whisperx[978].start 24275.775
transcript.whisperx[978].end 24304.955
transcript.whisperx[978].text 強化國土防衛能量空軍第一聯隊機庫保防水際飛行器訓練場域整修工程業務費九千萬元提案委員馬文君等人三檢國防部強化國土防衛能量有關空軍第七聯隊南北警戒式整修工程所需業務費四千兩百萬元提案委員馬文君等人
transcript.whisperx[979].start 24306.396
transcript.whisperx[979].end 24331.796
transcript.whisperx[979].text 三檢國防部強化國土防衛能量有關第一二五連隊空軍官校及校準部巨輪校區游泳池整修等五案所需業務費一億兩千四百六十億萬元設備及投資費一百三十五萬元提案委員馬文君等人
transcript.whisperx[980].start 24333.183
transcript.whisperx[980].end 24353.936
transcript.whisperx[980].text 三檢國防部強化國土防衛能量憲兵指揮部游泳池整修工程案業務費四千萬元提案委員馬文君等人三檢國防部強化國土防衛能量有關憲兵指揮部無人機訓場整建案業務費
transcript.whisperx[981].start 24356.578
transcript.whisperx[981].end 24359.039
transcript.whisperx[981].text 4億8617萬元設備及投資費2083萬元提案委員馬文君等人三檢國防部強化國土防衛能量有關國防大學資訊暨網
transcript.whisperx[982].start 24373.968
transcript.whisperx[982].end 24381.539
transcript.whisperx[982].text 網管中心備援電力計空調系統建置案業務費39萬元設備及投資費571萬元提案委員馬文君等人
transcript.whisperx[983].start 24390.932
transcript.whisperx[983].end 24403.91
transcript.whisperx[983].text 三檢國防部強化國土防衛能量有關作跡式聯合作戰指揮中心設施備整修工程案業務費7426萬5000元提案委員馬文君等人
transcript.whisperx[984].start 24407.655
transcript.whisperx[984].end 24428.858
transcript.whisperx[984].text 三檢國防部強化國土防衛能量有關作記事聯合應變中心設施整修工程案業務費兩千萬元提案委員馬文君等人三檢國防部強化國土防衛能量有關法律事務司國防法規系統提升
transcript.whisperx[985].start 24431.32
transcript.whisperx[985].end 24443.309
transcript.whisperx[985].text 硬體資訊設備提升軍法業務資訊系統提升等三案所需設備及投資六千六百萬元提案委員馬文君等人
transcript.whisperx[986].start 24446.676
transcript.whisperx[986].end 24461.58
transcript.whisperx[986].text 國防部所屬編列提升資通作業環境及設備其中有資通環境韌性網路 租賃 資安防護等費用三減其向下業務費兩億元提案委員賴世寶等人
transcript.whisperx[987].start 24466.149
transcript.whisperx[987].end 24476.493
transcript.whisperx[987].text 凍結國防部主管國防部所屬提升資通作業環境及設備五千萬元提出專案報告同意後使得凍資提案委員黃仁國防部所屬提升資通作業環境及設備凍結該項預算五千萬元提出專案報告經同意後使得凍資委員蘇清泉等人提案
transcript.whisperx[988].start 24493.94
transcript.whisperx[988].end 24517.269
transcript.whisperx[988].text 鑒於因應國際情勢強化經濟鑒於行政院系以具緊急重大急迫為由國防部應要所屬各單位凡有所屬工程鋼棚之案件及工作項目需由軍備局律定個案工程鋼棚項目之規格及要求
transcript.whisperx[989].start 24518.593
transcript.whisperx[989].end 24524.269
transcript.whisperx[989].text 使相關案件建置後符合國土防衛任性質要求提案委員馬雲金等人
transcript.whisperx[990].start 24526.17
transcript.whisperx[990].end 24550.636
transcript.whisperx[990].text 鑑於國防部及所屬提出大量有關火炮彈藥庫設施整修件工程及採購相關附屬設施之需求國防部業管連參應與各單位工程設計採購作業之規劃招標權先行下令相關訓令要求所屬各單位遵循
transcript.whisperx[991].start 24551.636
transcript.whisperx[991].end 24568.621
transcript.whisperx[991].text 符合強化國土防衛任性之要求提案委員馬雲君等人要求國防部應導入資安事件管理及自動回應技術在雲端運用上應建立資安標準雲端環境提案委員吳佩義等人
transcript.whisperx[992].start 24571.021
transcript.whisperx[992].end 24590.394
transcript.whisperx[992].text 要求國防部建立作戰分區指揮所機動式攝伏器並搭配資通設備等為避免離島通訊中斷持續加強長程微波通訊系統對老舊或寬頻不足資通站台升級更新提案委員吳佩義等人
transcript.whisperx[993].start 24591.335
transcript.whisperx[993].end 24618.876
transcript.whisperx[993].text 要求國防部於各重要軍事據點部署新式衛星通訊洽談租賃新式衛星增加部署地面接收端點提案委員吳佩奕等人建請國防部定期以予以理解之方式向社會大眾公開說明經費使用進度與效益評估提交說明報告提案委員李昆成等人
transcript.whisperx[994].start 24620.495
transcript.whisperx[994].end 24642.596
transcript.whisperx[994].text 有鑒於近年國軍支領網路戰略勤務加擠之人員顯示編列與實際需求存在落差呈現遞減趨勢相關單位應避免人力下滑趨勢影響整體戰力建請國防部提出書面報告提案委員李坤誠等人
transcript.whisperx[995].start 24644.884
transcript.whisperx[995].end 24669.711
transcript.whisperx[995].text 建請國防部針對國軍在警戒範圍確定後稅於村里領長辦公室設置變息式衛星訊號接收器或戰術無線電以立中央應變中心直接向其發出撤離通知之可行性3個月內提出書面報告提案委員鍾嘉斌等人
transcript.whisperx[996].start 24671.8
transcript.whisperx[996].end 24696.887
transcript.whisperx[996].text 凍結財政部主管國庫署提供企業金融支持五千萬元提案委員黃仁等人國庫署編列國庫署編列普發現金向下有業務費三減企業務費五千萬元提案委員賴世寶等人財政部主管
transcript.whisperx[997].start 24702.228
transcript.whisperx[997].end 24710.272
transcript.whisperx[997].text 財政部主管媒體及政策媒體政策及業務宣導費1350萬元3減50%提案委員賴世寶等人凍結財政部國庫署普發現金
transcript.whisperx[998].start 24732.659
transcript.whisperx[998].end 24760.118
transcript.whisperx[998].text 一千萬元提案委員賴慧媛等人財政部普發現金各式相關之詐騙訊息及層出不窮造成民眾困擾建請國庫署會同相關單位針對本項經費如何因應普發現金詐騙提出書面報告以確保民眾權益不受損提案委員張宏祿等人教育部主管
transcript.whisperx[999].start 24765.975
transcript.whisperx[999].end 24786.991
transcript.whisperx[999].text 200億元減劣該項預算40億元並凍結該項預算30%提案委員賴世保等人教育部強化高等教育人才培育輔助大學校院延攬及留任出聘教師簽約金及留任獎金預算數80億元
transcript.whisperx[1000].start 24789.232
transcript.whisperx[1000].end 24792.675
transcript.whisperx[1000].text 凍結10%提案委員郭國文等人教育部強化高等教育人才培育輔助大專院校精進校務經營補助預算數65億凍結10%提案委員郭國文等人
transcript.whisperx[1001].start 24811.993
transcript.whisperx[1001].end 24821.563
transcript.whisperx[1001].text 凍結教育部主管教育部強化高等教育人才賠預五千萬元提專案報告經同意後 使得凍資提案委員黃仁等人教育部教育教育部本年預算凍結五千萬元
transcript.whisperx[1002].start 24838.075
transcript.whisperx[1002].end 24853.546
transcript.whisperx[1002].text 提出專案報告後 使得動之 經同意後 使得動之 提案委員 蘇星泉等人教育部強化高等教育人才培訓預算200億元 凍結1000萬元 提案委員 賴會員等人
transcript.whisperx[1003].start 24862.526
transcript.whisperx[1003].end 24887.109
transcript.whisperx[1003].text 教育部強化高等教育人才培育預算200億元凍結1000萬元提案委員賴慧園等人在延攬國際人才及支持青壯世代學者方面請教育部就相關制度進行全面檢討規劃調整提出相關規劃報告提案委員張雅琳等人
transcript.whisperx[1004].start 24889.026
transcript.whisperx[1004].end 24903.976
transcript.whisperx[1004].text 請教育部在執行培育產業所需人才與產學合作方案時應同步設計校園統戰滲透風險防範措施確保高等教育發展與國家安全並行提案委員張雅玲委員等人
transcript.whisperx[1005].start 24907.378
transcript.whisperx[1005].end 24932.951
transcript.whisperx[1005].text 教育部編列強化高等教育人才培育兩百億元三檢強化高等教育人才培育五億元提案委員賴世保等人教育部第一幕強化高等教育人才培育業務費編列六千萬元提案凍結百分之五十百分之五十提案委員謝龍介委員等人
transcript.whisperx[1006].start 24937.133
transcript.whisperx[1006].end 24955.431
transcript.whisperx[1006].text 要求教育部邀集公司立基層教師代表教師工會等研討研商定地合一之教師評鑑制度支持教師專業發展並將上開會議記錄研商報告提交立法院提案委員范雲等人
transcript.whisperx[1007].start 24957.287
transcript.whisperx[1007].end 24983.084
transcript.whisperx[1007].text 要求教育部比照性別預算模式建立無障礙預算統計制度公開統計規劃統一之填報表格與作業原則並於年度結束後會診送教育部及相關措施規劃書面報告提交立法院提案委員范雲經濟部主管
transcript.whisperx[1008].start 24984.599
transcript.whisperx[1008].end 24989.982
transcript.whisperx[1008].text 460億元凍結30%提案委員賴世寶等人經濟部提升產業競爭力預算數16億5000萬元凍結10%提出報告同意後使得動之提案委員吳麗華等人
transcript.whisperx[1009].start 25007.642
transcript.whisperx[1009].end 25013.877
transcript.whisperx[1009].text 動輒經濟部主管經濟部提升產業競爭率五千萬元提出專案報告同意後使得動之提案委員黃仁經濟部
transcript.whisperx[1010].start 25017.074
transcript.whisperx[1010].end 25036.794
transcript.whisperx[1010].text 編列協助企業開拓多元市場三億元三減其向下業務費五千萬元提案委員賴世保等人經濟部協助企業開拓多元市場預算三億元凍結一千萬元提案委員賴會員等人
transcript.whisperx[1011].start 25042.49
transcript.whisperx[1011].end 25056.859
transcript.whisperx[1011].text 請經濟部透過政策整合協助廠商以大帶小參與國際展覽讓更多台灣企業能走向國際市場有效降低對等關稅帶來的衝擊提案委員蔡奕宇等人
transcript.whisperx[1012].start 25060.001
transcript.whisperx[1012].end 25084.594
transcript.whisperx[1012].text 經濟部提高廠商餐長補助金額一個月內提出書面報告送立法院提案委員蔡奕宇等人請經濟部主動提出相關產業支持措施針對無薪假人員應提供輔導及技術培訓強化我國產業整體競爭力提案委員蔡奕宇等人
transcript.whisperx[1013].start 25087.102
transcript.whisperx[1013].end 25097.458
transcript.whisperx[1013].text 建請經濟部研議加強引導受美國關稅政策影響之傳統製造業及中小企業投入高質化產品技術研發對國內產業及勞動市場之影響評估提案委員黃婕等人
transcript.whisperx[1014].start 25103.208
transcript.whisperx[1014].end 25121.891
transcript.whisperx[1014].text 建議經濟部提供企業金融支持預算一百一十億元為本案措施繁多金額龐大分配質詢機制複雜亦需檢驗是否存在制度性障礙請經濟部提出說明報告提案委員李昆成等人
transcript.whisperx[1015].start 25124.983
transcript.whisperx[1015].end 25142.013
transcript.whisperx[1015].text 晶片產能55分的說法對國內重要關鍵技術產業之影響建請經濟部提送逐項揭露各項措施之經費規劃執行期程及效益評估等完整書面報告提案委員李坤誠等人
transcript.whisperx[1016].start 25144.275
transcript.whisperx[1016].end 25161.037
transcript.whisperx[1016].text 更留台灣佈局全球前提下請經濟部檢討國家政策如何協助廠商佈局產業聚落模式之書面報告提案委員李昆成等人為確保在緊急時刻不受
transcript.whisperx[1017].start 25163.655
transcript.whisperx[1017].end 25186.116
transcript.whisperx[1017].text 建請衛福部研議依據國家關鍵基礎設施安全防護指導綱要將醫藥物流納入國家關鍵基礎設施範疇之評估報告提案委員李昆成等人要求經濟部整合生化與有盟國家
transcript.whisperx[1018].start 25187.843
transcript.whisperx[1018].end 25205.257
transcript.whisperx[1018].text 經貿合作計畫建立台灣有盟國家經貿合作年度行動計畫列出雙邊合作專案產業論壇等項目建立成果資料庫與投資成效每年提報立法院委員賴銳榮等人提案
transcript.whisperx[1019].start 25211.127
transcript.whisperx[1019].end 25231.642
transcript.whisperx[1019].text 要求經濟部強化出口貨品來源驗證原產地證明及高風險名單追蹤管理會同財政部官務署及檢調單位建立跨部會資料共享查核機制每半年向立法院報告監督與法規研究成果提案委員賴日榮等人
transcript.whisperx[1020].start 25233.362
transcript.whisperx[1020].end 25252.763
transcript.whisperx[1020].text 美国对关税冲击经济不应中整建立明确KPI强化与驻外管处外贸协会合作锁定德国日本印度及东南亚市场于年度报告中揭露受补助产业分布收益厂商加速提案委员赖瑞龙等人
transcript.whisperx[1021].start 25254.578
transcript.whisperx[1021].end 25269.831
transcript.whisperx[1021].text 經濟部應設立傳統產業金融支持專案基金與中小企業信用保證基金合作建立專案保證制度每半年向立法院報告專案基金執行情形提案委員賴瑞榮等人
transcript.whisperx[1022].start 25272.116
transcript.whisperx[1022].end 25292.51
transcript.whisperx[1022].text 因應美國課徵高而關稅,經濟部應建立傳產技術升級專案補助,針對高雄等受級產業從寬認定補助資格,增列中小企業研發補助基金。經濟部應每半年向立法院提出執行成果報告,提案委員賴日榮等人。
transcript.whisperx[1023].start 25294.211
transcript.whisperx[1023].end 25309.317
transcript.whisperx[1023].text 台電長久以來承擔穩定電價強化電網保障民生等職責經濟部應積極評估擬拒因應政策提出書面報告送交立法院提案委員林益謹等人
transcript.whisperx[1024].start 25311.004
transcript.whisperx[1024].end 25320.532
transcript.whisperx[1024].text 台美關稅談判及產業支持方案工業類別僅有工具機產業等九類產業請經濟部於一個月內將完整之個別產業影響評估公開於前述網站提案委員張啟凱等人
transcript.whisperx[1025].start 25333.644
transcript.whisperx[1025].end 25347.849
transcript.whisperx[1025].text 請經濟部依據本特別條例第六條第四項按計滾動式檢討針對不同工業中個別產業之相應支持方案納入工作計畫送立法院備查提案委員張祺凱等人
transcript.whisperx[1026].start 25351.731
transcript.whisperx[1026].end 25373.648
transcript.whisperx[1026].text 請經濟部依據本特別條例第六條第四項對在美關稅談判衝擊前涉入貿易或其他調查之個別企業規劃政府予以法律諮詢等各類協助並送立法院被查與網站公開提案委員張祺凱等人
transcript.whisperx[1027].start 25375.956
transcript.whisperx[1027].end 25404.175
transcript.whisperx[1027].text 我國今年上半年經濟成長6.75%優於預期為受美國關稅政策影響致船廠貨品競爭力下降消費者信心指數仍處低點提出相關對策使普發現金每人一萬元儘早投入消費市場擴大內需振興經濟效益提案委員蘇巧慧等人
transcript.whisperx[1028].start 25407.043
transcript.whisperx[1028].end 25418.749
transcript.whisperx[1028].text 請經濟部提出加強引導構建產業投入技術升級書面報告提案委員邱志偉等人請經濟部提出對
transcript.whisperx[1029].start 25423.109
transcript.whisperx[1029].end 25443.918
transcript.whisperx[1029].text 有限於印度進口俄國石油遭美國施行刺激關稅凸顯我國與俄國任何往來都應更加謹慎請經濟部提出對俄石化產品進口政策全面檢討並據此修訂相關規範提案委員邱志偉等人
transcript.whisperx[1030].start 25446.178
transcript.whisperx[1030].end 25458.896
transcript.whisperx[1030].text 美方推動對等關稅措施汽車產業、通訊電子製造業、機械設備工具、機具等均為我國重要民生出口支柱政府因
transcript.whisperx[1031].start 25461.883
transcript.whisperx[1031].end 25478.254
transcript.whisperx[1031].text 分別提供妥適的補助與協助方案相關資訊應該公開透明請經濟部會同相關部會提出專案報告提案委員徐欣盈等人針對我國對蘇美鋼鐵鋁以及鋼鋁衍生品加增至232條款
transcript.whisperx[1032].start 25487.751
transcript.whisperx[1032].end 25508.212
transcript.whisperx[1032].text 關稅提高至百分之五十嚴重衝擊我國相關產業請提出不包含普遍性對企業之措施及相關衍生產業之補助輔導優惠措施請經濟部提出書面報告提案委員郭國文等人
transcript.whisperx[1033].start 25511.513
transcript.whisperx[1033].end 25528.183
transcript.whisperx[1033].text 請經濟部提出我國對於日韓歐洲國家盟友之半導體戰略與產業合作深化空間之書面報告提案委員郭國文等人經濟部產業發展署提升產業競爭率預算數203億5000萬元凍結5%提出報告同意後使得動之提案委員吳麗華等人
transcript.whisperx[1034].start 25536.909
transcript.whisperx[1034].end 25544.936
transcript.whisperx[1034].text 凍結產業發展署五千萬元專案報告同意後使得凍資提案委員黃仁等人產業發展署提升產業競爭力其中業務費三減
transcript.whisperx[1035].start 25551.866
transcript.whisperx[1035].end 25570.575
transcript.whisperx[1035].text 2000萬元提案委員賴世寶等人國際貿易署編列協助企業開拓多元市場其向下三檢業務費3000萬元提案委員賴世寶等人經濟部國際貿易署協助廠商調整海外佈局措施
transcript.whisperx[1036].start 25572.356
transcript.whisperx[1036].end 25597.975
transcript.whisperx[1036].text 預算數70億元 凍結5%提出報告經同意後 使得動之提案委員吳麗華等人凍結經濟部主管 國際貿易署協助企業開拓國營市場5000萬元提出專案報告同意後 使得動之提案委員黃仁經濟部國際貿易署深化與有盟國家經貿合作預算數10億元 凍結1000萬元提案委員賴慧媛等人
transcript.whisperx[1037].start 25604.959
transcript.whisperx[1037].end 25624.725
transcript.whisperx[1037].text 請經濟部國際貿易署為健全貿易秩序維護國家產業利益持續強化加強強化違規轉運查核小組效能嚴加防堵洗產地情勢發生提案委員黃婕等人
transcript.whisperx[1038].start 25629.228
transcript.whisperx[1038].end 25652.237
transcript.whisperx[1038].text 請經濟部國際貿易署針對生化與盟友國家經貿合作資金費提出各個國家預計生化之產業經費配比提出書面報告提案委員郭國文等人商業發展署編列提升產業競爭力其向下業務費三減一千萬元提案委員賴世寶等人
transcript.whisperx[1039].start 25656.307
transcript.whisperx[1039].end 25678.064
transcript.whisperx[1039].text 凍結經濟部主管商業發展署第一幕向下提升商業服務費營運效能五千萬元提案委員黃仁等人經濟部商業發展署提升產業競爭率預算數二十六億五千萬元凍結一千萬元提案委員賴慧媛等人
transcript.whisperx[1040].start 25680.309
transcript.whisperx[1040].end 25691.614
transcript.whisperx[1040].text 經濟部商業發展署提升商業服務業營運效能預算數25億元凍結10%提出報告經同意後使得動之提案委員吳立華等人
transcript.whisperx[1041].start 25695.618
transcript.whisperx[1041].end 25717.35
transcript.whisperx[1041].text 請經濟部商業屬於既有補助之外令行研議維護方面之補助對象為獲得近年AI智慧化數位化相關補助方案之場域使過去推動成就能夠延續妥善營運擴展政府預算的整體效益提案委員吳佩義等人
transcript.whisperx[1042].start 25719.111
transcript.whisperx[1042].end 25748.251
transcript.whisperx[1042].text 中小及新創企業署編列提升企業金融支持向下三檢企業務費兩千萬元提案委員賴世寶等人經濟部中小企業及新創企業署提供企業金融支持要求經濟部提出建立中小信保基金成效評估機制避免金融風險轉嫁為財政呆帳之書面報告提案委員邱志偉等人
transcript.whisperx[1043].start 25750.513
transcript.whisperx[1043].end 25771.594
transcript.whisperx[1043].text 勞動部社會保險支出預祝全民健康保險基金及勞工保險基金預祝勞工保險基金100億元凍結50%經同意後使得凍之提案委員黃仁等人建請勞動部參考教育部
transcript.whisperx[1044].start 25773.038
transcript.whisperx[1044].end 25802.618
transcript.whisperx[1044].text 青年署青少年生涯探索号计划推动经验针对弱势禁欲未成年劳动者强化职场安全宣导与监督机制研议增列民间团体参与机制与专业人力支持经费以上请劳动部具体提出执行方案包括预算配置对象范围作业作及合作机制提案委员林月琴等人
transcript.whisperx[1045].start 25805.04
transcript.whisperx[1045].end 25823.817
transcript.whisperx[1045].text 請勞動部應簡述公布各項安定就業措施之明確申請辦法與審核標準並簡化程序針對女性勞工比例偏高的產業加強宣導應將性別影響評估納入本特別預算措施針對上述
transcript.whisperx[1046].start 25825.338
transcript.whisperx[1046].end 25844.385
transcript.whisperx[1046].text 要求提出報告提案委員張雅玲等人請勞動部提出具體可行之財務改革方案包括保費率調整政府撥補機制常態化給付結構合理化等
transcript.whisperx[1047].start 25845.565
transcript.whisperx[1047].end 25861.301
transcript.whisperx[1047].text 應加強資訊透明 定期公開基金財務狀況與改進進度請勞動部針對以上要求提出精進改善報告提案委員張雅玲等人
transcript.whisperx[1048].start 25866.621
transcript.whisperx[1048].end 25882.181
transcript.whisperx[1048].text 有建於支援青年就業計劃編列15億元其餘基金編列預算有重複編列與資源重疊之疑慮請勞動部提出書面報告委員李昆城等人提案
transcript.whisperx[1049].start 25884.964
transcript.whisperx[1049].end 25901.972
transcript.whisperx[1049].text 請勞動部提出完整媒體宣傳規劃與預期成效評估投放渠道成效衡量方式之書面報告提案委員李昆成等人請勞動部依據本特別條例第六條第四項研議有關
transcript.whisperx[1050].start 25903.332
transcript.whisperx[1050].end 25928.55
transcript.whisperx[1050].text 補助涵蓋因關稅衝擊減班造成勞保投保差距之保費差額補貼送立法院備查提案委員張啟凱等人請勞動部依據本條例託為說明前接經費編列原因延期有無必要調整或甄列納入工作計畫送立法院備查提案委員張啟凱等人見勞動部
transcript.whisperx[1051].start 25933.401
transcript.whisperx[1051].end 25960.801
transcript.whisperx[1051].text 針對如何防度雇主未如實通報減班休息情形針對不同產業類別如何協助企業辦理員工在職培訓與衛生福利部合作研議是否針對受影響勞工輔導預先規劃因應可能出現之大規模解雇潮提出書面報告提案委員賴會員等人
transcript.whisperx[1052].start 25965.135
transcript.whisperx[1052].end 25976.538
transcript.whisperx[1052].text 為確保特別預算能兼具短期長期政策功效要求勞動部必須落實補助與執訊綁定並公開受衝擊行業清單建立滾動式檢討機制定期公開執行成果提案委員徐欣穎等人
transcript.whisperx[1053].start 25986.348
transcript.whisperx[1053].end 26003.526
transcript.whisperx[1053].text 要求勞動部於一個月內推動就業安定基金建立成果型KPI包括到職率、留任率等及創造就業成本、建置退場、調整補助機制提出專題報告提案委員徐欣穎等人
transcript.whisperx[1054].start 26005.702
transcript.whisperx[1054].end 26030.742
transcript.whisperx[1054].text 勞動部因應關稅衝擊規劃推動多項加強支持勞工安定就業措施為確保相關措施落實執行請勞動部於115年至117年每年2月底前完成前一年度制成果報告送立法院提案委員劉建國等人勞動部勞動力發展署及所屬
transcript.whisperx[1055].start 26032.327
transcript.whisperx[1055].end 26052.455
transcript.whisperx[1055].text 支持勞工安定就業預算數150億3減40億提案委員謝龍介等人勞動力發展署及所屬編列支持勞工安定就業基金3減其向下業務費3800萬元提案委員賴世寶等人
transcript.whisperx[1056].start 26058.745
transcript.whisperx[1056].end 26080.397
transcript.whisperx[1056].text 勞動部支持勞工安定就業基金協助初次尋職青年就業等預算15億元凍結10%提出報告後使得凍資提案委員郭國文等人凍結支持勞工安定就業基金150億元預算資30%提案委員賴世寶等人
transcript.whisperx[1057].start 26086.93
transcript.whisperx[1057].end 26094.118
transcript.whisperx[1057].text 勞動部主管勞動力發展署級所屬支持勞工安定就業預算150億元凍結5000萬元提案委員黃仁等人
transcript.whisperx[1058].start 26105.775
transcript.whisperx[1058].end 26116.039
transcript.whisperx[1058].text 勞動部勞動力發展署及所屬支持勞工安定就業預算數150億元凍結1000萬元提案委員賴會員等人勞動力發展署及所屬支持勞工安定就業基金150億元凍結1000萬元提案委員賴會員等人農業部主管190億元
transcript.whisperx[1059].start 26136.789
transcript.whisperx[1059].end 26141.915
transcript.whisperx[1059].text 凍結該預算20%專案報告經同意後 使得凍資提案委員賴世保委員等人凍結農業部主管5000萬元專案報告經同意後 使得凍資提案委員黃仁等人
transcript.whisperx[1060].start 26153.534
transcript.whisperx[1060].end 26179.663
transcript.whisperx[1060].text 農業部第一幕強化農業金融支持提升產業競爭力及協助開拓多元市場預算數180億元凍結5%提出報告後使得動資委員伍麗華等人所農業部強化金融支持提升產業競爭力協助開拓多元市場獎勵業者拓展美國高端外銷市場
transcript.whisperx[1061].start 26181.071
transcript.whisperx[1061].end 26188.894
transcript.whisperx[1061].text 預算44億9950萬元凍結10%提出報告後使得動之提案委員郭國文等人凍結農業部主管農業部強化農業金融支持提升產業競爭力及協助開拓多元市場5000萬元提出專案報告後使得動之提案委員黃仁等人
transcript.whisperx[1062].start 26209.251
transcript.whisperx[1062].end 26217.973
transcript.whisperx[1062].text 農業部強化農業金融支持提升產業競爭力及協助開拓多元市場預算數180億元凍結10%提案委員賴會員等人農業部強化農業金融支持提升產業競爭力及協助開拓多元市場預算數180億元凍結1000萬元提案委員賴會員等人
transcript.whisperx[1063].start 26237.232
transcript.whisperx[1063].end 26255.238
transcript.whisperx[1063].text 農業部強化農業金融支持提升產業競爭力及協助開拓多元市場預算180億元凍結1000萬元提案委員賴會員等人農業部強化農業金融支持提升產業競爭力及協助開拓多元市場預算數180億元凍結1000萬元提案委員賴會員等人農業部
transcript.whisperx[1064].start 26262.68
transcript.whisperx[1064].end 26274.256
transcript.whisperx[1064].text 請農業部積極辦理國內外展覽與行銷活動強化台灣農漁產品品牌形象及曝光率降低關稅衝擊提案委員蔡奕瑜等人
transcript.whisperx[1065].start 26276.164
transcript.whisperx[1065].end 26291.314
transcript.whisperx[1065].text 建起農業部按照產業所受影響程度競爭國家情況妥善運用我國水產品產銷履歷與食品安全優勢託你提高美國市場占有率策略提案委員黃婕等人
transcript.whisperx[1066].start 26296.146
transcript.whisperx[1066].end 26313.204
transcript.whisperx[1066].text 美國克珍對等關稅對國內農漁業之衝擊建請農業部提送逐項揭露各項措施之經費規劃執行期程及效益評估完整書面報告提案委員李昆成等人
transcript.whisperx[1067].start 26316.76
transcript.whisperx[1067].end 26345.869
transcript.whisperx[1067].text 農業部規劃成立農糧安全推動小組為確保糧食安全及緊急供應穩定農業部應整合國家層級糧食安全體系強化跨部會聯防建立中央地方民間糧食調度聯系機制與經濟部國防部及行政院災防辦建立糧食安全聯防機制每年檢討並提報立法院提案委員賴瑞榮等人
transcript.whisperx[1068].start 26348.208
transcript.whisperx[1068].end 26371.189
transcript.whisperx[1068].text 要求農業部推動農業加工業導入AI自動化及智慧檢測技術協助農民團體建立合作生產供應鏈整合機制推動ESG管理制度等每年檢討並向立法院提出書面報告提案委員賴日榮等人要求農業部推動台灣農產品
transcript.whisperx[1069].start 26375.017
transcript.whisperx[1069].end 26387.718
transcript.whisperx[1069].text 臺灣農業品牌國際行銷計畫跨部會合作建立明確績效指標每年度預算執行報告中揭露作為次年預算執行制參考提案委員賴瑞榮等人
transcript.whisperx[1070].start 26389.522
transcript.whisperx[1070].end 26402.84
transcript.whisperx[1070].text 要求農業部與農業金融機構合作強化農業信用保證基金運用每季檢討融資成效每年度公佈相關成效評估委員賴瑞榮等人提案
transcript.whisperx[1071].start 26404.562
transcript.whisperx[1071].end 26427.296
transcript.whisperx[1071].text 要求農業部設立台灣農業形象館與海外展售中心鼓勵農企業參與國際展銷推動具產銷履歷永續標章低碳認證等高品質農產品進入高端市場並於每年度提報市場拓展成效及外銷金額提案委員賴瑞榮等人要求農業部優先輔導出口重點產區農會等
transcript.whisperx[1072].start 26435.652
transcript.whisperx[1072].end 26453.163
transcript.whisperx[1072].text 或更新冷凍冷藏設施強化冷鏈溫控監測與數位追溯建立農漁產品外銷冷鏈示範區並於每半年向立法院提出執行進度及效益報告提案委員賴瑞榮等人為維護國人身體健康及國內農業永續產品請農業部提供
transcript.whisperx[1073].start 26463.202
transcript.whisperx[1073].end 26484.537
transcript.whisperx[1073].text 農業永續發展請農業部提供美國進口農產品標示問題之處理說明美國農產品之分年採購規劃包括採購品項採購數量等等資料於一百一十四年十二月三十一日前三十一日前提供完整報告與立法院研議採購期間針對國內同品項農產品之產銷計劃實施送立法院備查並公開於網站提案委員張祺凱等人
transcript.whisperx[1074].start 26495.763
transcript.whisperx[1074].end 26519.191
transcript.whisperx[1074].text 請農業部針對國內農產品加工之研發提升工作加速推動以利拓展出口及因應農產品開放進口衝擊避免多元循環經濟利用的方式不當方法處理等相關情勢將農產品研發納入工作計畫送立法院被查提案委員張祺凱等人會降第一
transcript.whisperx[1075].start 26521.079
transcript.whisperx[1075].end 26534.487
transcript.whisperx[1075].text 蘭花產業生產及出口成本請農業部於三個月內針對除補助措施外如何於技術面上協助蘭花產業降低成本提出書面報告提案委員賴會員等人
transcript.whisperx[1076].start 26537.782
transcript.whisperx[1076].end 26560.196
transcript.whisperx[1076].text 建起農業部針對協助開拓美國以外之海外市場積極推動多元出口國布局提升國內台灣調資國際產銷旅率認證制度防範中國無國漁局鱸魚混充國產魚等事項提出書面報告提案委員賴會員等人
transcript.whisperx[1077].start 26563.632
transcript.whisperx[1077].end 26590.281
transcript.whisperx[1077].text 請農業部針對我國糧食質給率之提升目標與執行方法為題中整耕地利用與相關政策工具之可行性提出具體策略短中長期之期程書面報告提案委員王世堅等人我國目前到米進口採行關稅配額制度近期台美對等關稅協商中將對我國農民生計與糧食安全造成重大衝擊
transcript.whisperx[1078].start 26593.345
transcript.whisperx[1078].end 26619.256
transcript.whisperx[1078].text 要求農業部會同相關部會提出糧食安全與農業衝擊防線專案報告提案委員徐信英等人凍結農業部主管漁業署及所屬強化國土防衛能量一千萬元提案委員黃仁等人凍結農業部主管農糧署及所屬強化國土防衛能量一千萬元提出專案報告後使得動之提案委員黃仁等人
transcript.whisperx[1079].start 26621.045
transcript.whisperx[1079].end 26629.698
transcript.whisperx[1079].text 衛生福利部益助全民健康保險基金及勞工保險基金益助全民健康保險基金預算數200億凍結5%提出報告後使得凍資提案委員吳麗華等人
transcript.whisperx[1080].start 26635.976
transcript.whisperx[1080].end 26653.195
transcript.whisperx[1080].text 凍結衛生福利部主管衛生福利部益助全民健康保險基金五千萬元提案提出專案報告時的動資提案委員黃仁等人衛生福利部第二幕預算數六十一億九千七百七十九萬凍結百分之十提出書面報告提案委員伍麗華等人
transcript.whisperx[1081].start 26654.577
transcript.whisperx[1081].end 26666.97
transcript.whisperx[1081].text 建請衛生福利部於兩個月內提送逐項揭露各項措施之經費規劃執行期程及效益評估等完整書面報告提案委員李坤澄等人建請衛福部邀集行政院
transcript.whisperx[1082].start 26675.869
transcript.whisperx[1082].end 26695.094
transcript.whisperx[1082].text 災害防救辦公室內政部NCC交通部等相關單位研議獨居老人緊急救護裝置連線及服務模式中增加緊急災害應變等功能之可行性並將研議結果書面報告提交立法院提案委員王振旭等人
transcript.whisperx[1083].start 26695.914
transcript.whisperx[1083].end 26715.09
transcript.whisperx[1083].text 建請衛福部邀集相關單位針對獨居老人制政策需求提升平均餘命與降低不健康餘命進行相應之調查提問及宣導事項之盤整將跨部會研議結論提交書面報告於立法院提案委員王振旭等人
transcript.whisperx[1084].start 26717.252
transcript.whisperx[1084].end 26736.369
transcript.whisperx[1084].text 建議衛福部因緊述研議如何全面將裕田市強新增納入緊急救護與醫療體系中持續提升國內緊急醫療照護品質並針對各種會議進行研議提出書面報告提案委員林怡瑾等人
transcript.whisperx[1085].start 26737.746
transcript.whisperx[1085].end 26755.419
transcript.whisperx[1085].text 鑒於近期各地層出不窮之詐領低收入戶及中低收入戶補助案件請衛福部提出具體檢討報告以確保社會救助資源用於真正需要的弱勢族群恢復制度公信力提案委員王世堅等人
transcript.whisperx[1086].start 26758.507
transcript.whisperx[1086].end 26773.34
transcript.whisperx[1086].text 為確保國人用藥安全與健保制度允訓請衛福部提出經濟方案書面報告就價格制度面、供應韌性面、財務結構面提案委員邱志偉等人
transcript.whisperx[1087].start 26776.304
transcript.whisperx[1087].end 26797.811
transcript.whisperx[1087].text 衛生福利部為確保補助能發揮長期效益並避免重複投資要求行政院研議將所有接受政府補助的醫院核心醫療資訊系統必須採用統一區塊鏈與開放標準具體做法與成果提出專題報告提案委員徐欣穎等人
transcript.whisperx[1088].start 26800.068
transcript.whisperx[1088].end 26828.437
transcript.whisperx[1088].text 為有效防範高齡孤獨所引發之治安漏洞要求衛福部提出高齡孤獨與治安風險防治專題報告提案委員徐欣穎等人為使特別預算能精準投入有效執行要求衛福部於一個月內掌握全國獨居老人基本資訊完整造冊關懷訪視人力缺口提出精進措施之專題報告提案委員徐欣穎等人
transcript.whisperx[1089].start 26838.482
transcript.whisperx[1089].end 26865.282
transcript.whisperx[1089].text 未建立可長可久之支持體系要求衛福部嚴禮避免弱勢補助制度斷崖穩定財源規劃與消費者物價指數連動之調整機制提出專題報告提案委員徐欣雲等人為使社會福利資源能有效及潛在弱勢對象
transcript.whisperx[1090].start 26867.458
transcript.whisperx[1090].end 26879.088
transcript.whisperx[1090].text 利用原要求衛福部就弱勢生活補助的覆蓋率與邊緣戶缺口提出補救路徑與執行規劃報告提案委員 徐欣雲等人
transcript.whisperx[1091].start 26884.881
transcript.whisperx[1091].end 26910.14
transcript.whisperx[1091].text 要求衛福部邀集第一線社會救助服務團體社工及貧窮議題專家學者等召開是否廢除虛擬收入政策之評估研商會議將上開會議記錄公告於衛福部官方網站並送交立法院提案委員范雲等人請衛福部將改進後之申請作業規範
transcript.whisperx[1092].start 26913.277
transcript.whisperx[1092].end 26928.705
transcript.whisperx[1092].text 及線上申請服務推動書面報告提交立法院提案委員范雲衛生福利部及社會及家庭署預算數910221萬凍結該項預算10%提出書面報告提案委員吳立華等人
transcript.whisperx[1093].start 26937.93
transcript.whisperx[1093].end 26948.239
transcript.whisperx[1093].text 衛福部社家署加強照顧弱勢族群及提供關懷服務預算數35億2,804萬5千元提案凍結1千萬元委員賴會員等人社會及家庭署編列協助弱勢預算三檢期向下業務費3千萬元提案委員賴世寶等人
transcript.whisperx[1094].start 26963.542
transcript.whisperx[1094].end 26982.089
transcript.whisperx[1094].text 為服務社家屬加強凍結加強照顧弱勢族群提供關懷服務向下向下六十二億七千四百一十六萬五千元中的十六萬五千元提案委員王振旭等人
transcript.whisperx[1095].start 26989.632
transcript.whisperx[1095].end 26993.086
transcript.whisperx[1095].text 社福衛福部社家屬
transcript.whisperx[1096].start 26997.913
transcript.whisperx[1096].end 27018.642
transcript.whisperx[1096].text 針對經濟弱勢族群加班13個月生活補助金擴大獨居老人關懷送暖發放的對象應該以政府列策低收入戶中低收入戶身心障礙者生活補助中低收入老人生活津貼弱勢兒童少年生活補助等五類此方案對象
transcript.whisperx[1097].start 27021.162
transcript.whisperx[1097].end 27032.273
transcript.whisperx[1097].text 請社家屬依照經濟形勢事實研議對其經濟衝擊而陷入困境之方案生活補助外考慮疾難救助措施提案委員吳佩儀等人
transcript.whisperx[1098].start 27035.506
transcript.whisperx[1098].end 27061.097
transcript.whisperx[1098].text 衛福部社家屬鑒於近期馬太安溪淹塞湖一流多名罹難者為獨居的高齡長者鑒請衛福部會同內政部針對各地方政府之保全保全戶及獨居老人預防性疏散撤離計畫概況提出書面報告提案委員鍾嘉斌等人海洋委員會
transcript.whisperx[1099].start 27066.614
transcript.whisperx[1099].end 27077.724
transcript.whisperx[1099].text 預算海洋委員會辦理海洋地形海床災害前市級水文監測10億9930萬元全數刪除其餘預算凍結30%原預算數284億6293萬6千元提案委員賴世寶等人
transcript.whisperx[1100].start 27092.403
transcript.whisperx[1100].end 27100.889
transcript.whisperx[1100].text 海洋委員會強化國土防衛能量預算268億908萬元提案凍結1000萬元委員賴會員等人提案海巡署及所屬第一幕強化國土防衛能量提升海域立體
transcript.whisperx[1101].start 27119.726
transcript.whisperx[1101].end 27140.712
transcript.whisperx[1101].text 徵詢量能計劃預算數40億9千4百7千3萬1千元向下籌補各式海空無人機無人載具等凍結20%提出專案報告經同意後 使得凍資提案委員謝龍介等人
transcript.whisperx[1102].start 27147.429
transcript.whisperx[1102].end 27169.629
transcript.whisperx[1102].text 凍結海洋委員會主管海巡署及所屬強化國土防衛能量提升海域立體增群量能五千萬元提案委員黃仁等人凍結海洋委員會主管海巡署及所屬強化國土防衛能量強化海巡基地與設施韌性五千萬元提案委員黃仁等人
transcript.whisperx[1103].start 27171.775
transcript.whisperx[1103].end 27194.606
transcript.whisperx[1103].text 建議海巡署與檢察機關各行政部門電資通訊產業建立即時有效聯繫運儲管道參考國外經驗加強我國法制持續補強相關設施包括船隻等持續就海欄安全進行國際交流與合作提案委員吳佩儀
transcript.whisperx[1104].start 27197.133
transcript.whisperx[1104].end 27218.579
transcript.whisperx[1104].text 有建於海巡署辦理旋翼型無人飛行載具事辦計畫累計執行率長期低於一成原建起海巡署就計畫效益檢討及未來執行可行性提出書面報告提案委員李坤誠等人
transcript.whisperx[1105].start 27220.182
transcript.whisperx[1105].end 27240.597
transcript.whisperx[1105].text 海巡署為因應目前海岸海能量不足困境最短時間內在全國海岸完善建置紅外線熱影像系統等措施建請海巡署提送各項措施經費規劃執行期程效益評估順便報告提案委員李昆城等人
transcript.whisperx[1106].start 27242.699
transcript.whisperx[1106].end 27259.239
transcript.whisperx[1106].text 請海巡署及所屬進行技術需求之盤點提出技術升級之展望檢討當前我國無人機與海巡任務上至缺書提出書面報告提案委員林一錦等人海委會國家海洋研究院
transcript.whisperx[1107].start 27262.933
transcript.whisperx[1107].end 27276.844
transcript.whisperx[1107].text 建立跨部會機制共享機制立立國防部海巡署中央氣象署相關機關及時運用提升國家海域安全任性提案委員黃婕等人宣讀完畢