iVOD / 16972

Field Value
IVOD_ID 16972
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16972
日期 2025-10-22
會議資料.會議代碼 委員會-11-4-19-6
會議資料.會議代碼:str 第11屆第4會期經濟委員會第6次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 6
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.標題 第11屆第4會期經濟委員會第6次全體委員會議
影片種類 Full
開始時間 2025-10-22T08:39:56+08:00
結束時間 2025-10-22T13:17:00+08:00
影片長度 04:37:04
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/16eb79f0bb3b77db8a46bec1ad1976d32e455b911eb344fb0aa126c40303dc2711b7dddb7c860a745ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2025-10-22T09:00:00+08:00
會議名稱 立法院第11屆第4會期經濟委員會第6次全體委員會議(事由:邀請經濟部部長列席報告業務概況,並備質詢。)
委員名稱 完整會議
委員發言時間 08:39:56 - 13:17:00
transcript.pyannote[0].speaker SPEAKER_05
transcript.pyannote[0].start 1244.96721875
transcript.pyannote[0].end 1245.59159375
transcript.pyannote[1].speaker SPEAKER_05
transcript.pyannote[1].start 1246.01346875
transcript.pyannote[1].end 1247.76846875
transcript.pyannote[2].speaker SPEAKER_25
transcript.pyannote[2].start 1248.47721875
transcript.pyannote[2].end 1248.96659375
transcript.pyannote[3].speaker SPEAKER_04
transcript.pyannote[3].start 1248.96659375
transcript.pyannote[3].end 1249.03409375
transcript.pyannote[4].speaker SPEAKER_39
transcript.pyannote[4].start 1249.03409375
transcript.pyannote[4].end 1249.16909375
transcript.pyannote[5].speaker SPEAKER_05
transcript.pyannote[5].start 1249.60784375
transcript.pyannote[5].end 1252.56096875
transcript.pyannote[6].speaker SPEAKER_05
transcript.pyannote[6].start 1252.66221875
transcript.pyannote[6].end 1258.16346875
transcript.pyannote[7].speaker SPEAKER_42
transcript.pyannote[7].start 1258.51784375
transcript.pyannote[7].end 1274.75159375
transcript.pyannote[8].speaker SPEAKER_42
transcript.pyannote[8].start 1275.51096875
transcript.pyannote[8].end 1279.94909375
transcript.pyannote[9].speaker SPEAKER_42
transcript.pyannote[9].start 1280.26971875
transcript.pyannote[9].end 1284.15096875
transcript.pyannote[10].speaker SPEAKER_42
transcript.pyannote[10].start 1284.60659375
transcript.pyannote[10].end 1292.47034375
transcript.pyannote[11].speaker SPEAKER_42
transcript.pyannote[11].start 1292.65596875
transcript.pyannote[11].end 1308.26534375
transcript.pyannote[12].speaker SPEAKER_05
transcript.pyannote[12].start 1309.31159375
transcript.pyannote[12].end 1309.75034375
transcript.pyannote[13].speaker SPEAKER_05
transcript.pyannote[13].start 1310.15534375
transcript.pyannote[13].end 1313.42909375
transcript.pyannote[14].speaker SPEAKER_42
transcript.pyannote[14].start 1314.47534375
transcript.pyannote[14].end 1318.37346875
transcript.pyannote[15].speaker SPEAKER_05
transcript.pyannote[15].start 1319.36909375
transcript.pyannote[15].end 1319.62221875
transcript.pyannote[16].speaker SPEAKER_05
transcript.pyannote[16].start 1321.41096875
transcript.pyannote[16].end 1326.65909375
transcript.pyannote[17].speaker SPEAKER_05
transcript.pyannote[17].start 1326.84471875
transcript.pyannote[17].end 1330.52346875
transcript.pyannote[18].speaker SPEAKER_05
transcript.pyannote[18].start 1331.75534375
transcript.pyannote[18].end 1335.99096875
transcript.pyannote[19].speaker SPEAKER_05
transcript.pyannote[19].start 1336.81784375
transcript.pyannote[19].end 1339.92284375
transcript.pyannote[20].speaker SPEAKER_05
transcript.pyannote[20].start 1340.32784375
transcript.pyannote[20].end 1341.17159375
transcript.pyannote[21].speaker SPEAKER_05
transcript.pyannote[21].start 1341.82971875
transcript.pyannote[21].end 1345.08659375
transcript.pyannote[22].speaker SPEAKER_05
transcript.pyannote[22].start 1345.62659375
transcript.pyannote[22].end 1349.11971875
transcript.pyannote[23].speaker SPEAKER_05
transcript.pyannote[23].start 1349.84534375
transcript.pyannote[23].end 1354.82346875
transcript.pyannote[24].speaker SPEAKER_05
transcript.pyannote[24].start 1355.78534375
transcript.pyannote[24].end 1359.00846875
transcript.pyannote[25].speaker SPEAKER_05
transcript.pyannote[25].start 1359.63284375
transcript.pyannote[25].end 1361.15159375
transcript.pyannote[26].speaker SPEAKER_05
transcript.pyannote[26].start 1361.79284375
transcript.pyannote[26].end 1367.00721875
transcript.pyannote[27].speaker SPEAKER_05
transcript.pyannote[27].start 1367.20971875
transcript.pyannote[27].end 1368.25596875
transcript.pyannote[28].speaker SPEAKER_05
transcript.pyannote[28].start 1368.67784375
transcript.pyannote[28].end 1370.46659375
transcript.pyannote[29].speaker SPEAKER_05
transcript.pyannote[29].start 1371.27659375
transcript.pyannote[29].end 1374.87096875
transcript.pyannote[30].speaker SPEAKER_05
transcript.pyannote[30].start 1375.12409375
transcript.pyannote[30].end 1380.16971875
transcript.pyannote[31].speaker SPEAKER_05
transcript.pyannote[31].start 1380.37221875
transcript.pyannote[31].end 1386.02534375
transcript.pyannote[32].speaker SPEAKER_05
transcript.pyannote[32].start 1386.49784375
transcript.pyannote[32].end 1397.77034375
transcript.pyannote[33].speaker SPEAKER_05
transcript.pyannote[33].start 1398.69846875
transcript.pyannote[33].end 1403.74409375
transcript.pyannote[34].speaker SPEAKER_05
transcript.pyannote[34].start 1404.89159375
transcript.pyannote[34].end 1407.05159375
transcript.pyannote[35].speaker SPEAKER_05
transcript.pyannote[35].start 1407.81096875
transcript.pyannote[35].end 1418.50971875
transcript.pyannote[36].speaker SPEAKER_05
transcript.pyannote[36].start 1419.53909375
transcript.pyannote[36].end 1421.49659375
transcript.pyannote[37].speaker SPEAKER_05
transcript.pyannote[37].start 1421.80034375
transcript.pyannote[37].end 1424.75346875
transcript.pyannote[38].speaker SPEAKER_05
transcript.pyannote[38].start 1425.00659375
transcript.pyannote[38].end 1429.20846875
transcript.pyannote[39].speaker SPEAKER_36
transcript.pyannote[39].start 1435.50284375
transcript.pyannote[39].end 1436.68409375
transcript.pyannote[40].speaker SPEAKER_36
transcript.pyannote[40].start 1436.98784375
transcript.pyannote[40].end 1437.73034375
transcript.pyannote[41].speaker SPEAKER_36
transcript.pyannote[41].start 1437.94971875
transcript.pyannote[41].end 1438.37159375
transcript.pyannote[42].speaker SPEAKER_36
transcript.pyannote[42].start 1438.59096875
transcript.pyannote[42].end 1440.59909375
transcript.pyannote[43].speaker SPEAKER_36
transcript.pyannote[43].start 1441.08846875
transcript.pyannote[43].end 1445.34096875
transcript.pyannote[44].speaker SPEAKER_36
transcript.pyannote[44].start 1445.39159375
transcript.pyannote[44].end 1445.99909375
transcript.pyannote[45].speaker SPEAKER_36
transcript.pyannote[45].start 1446.37034375
transcript.pyannote[45].end 1456.24221875
transcript.pyannote[46].speaker SPEAKER_36
transcript.pyannote[46].start 1456.49534375
transcript.pyannote[46].end 1457.71034375
transcript.pyannote[47].speaker SPEAKER_36
transcript.pyannote[47].start 1458.26721875
transcript.pyannote[47].end 1459.46534375
transcript.pyannote[48].speaker SPEAKER_36
transcript.pyannote[48].start 1459.98846875
transcript.pyannote[48].end 1463.22846875
transcript.pyannote[49].speaker SPEAKER_36
transcript.pyannote[49].start 1463.51534375
transcript.pyannote[49].end 1466.26596875
transcript.pyannote[50].speaker SPEAKER_36
transcript.pyannote[50].start 1466.38409375
transcript.pyannote[50].end 1469.86034375
transcript.pyannote[51].speaker SPEAKER_36
transcript.pyannote[51].start 1470.07971875
transcript.pyannote[51].end 1482.26346875
transcript.pyannote[52].speaker SPEAKER_36
transcript.pyannote[52].start 1483.12409375
transcript.pyannote[52].end 1487.64659375
transcript.pyannote[53].speaker SPEAKER_36
transcript.pyannote[53].start 1487.69721875
transcript.pyannote[53].end 1508.52096875
transcript.pyannote[54].speaker SPEAKER_36
transcript.pyannote[54].start 1508.89221875
transcript.pyannote[54].end 1516.38471875
transcript.pyannote[55].speaker SPEAKER_36
transcript.pyannote[55].start 1517.05971875
transcript.pyannote[55].end 1573.16909375
transcript.pyannote[56].speaker SPEAKER_36
transcript.pyannote[56].start 1573.47284375
transcript.pyannote[56].end 1578.41721875
transcript.pyannote[57].speaker SPEAKER_36
transcript.pyannote[57].start 1578.70409375
transcript.pyannote[57].end 1601.24909375
transcript.pyannote[58].speaker SPEAKER_36
transcript.pyannote[58].start 1601.68784375
transcript.pyannote[58].end 1602.71721875
transcript.pyannote[59].speaker SPEAKER_36
transcript.pyannote[59].start 1603.93221875
transcript.pyannote[59].end 1619.57534375
transcript.pyannote[60].speaker SPEAKER_36
transcript.pyannote[60].start 1620.08159375
transcript.pyannote[60].end 1620.99284375
transcript.pyannote[61].speaker SPEAKER_36
transcript.pyannote[61].start 1621.73534375
transcript.pyannote[61].end 1655.94096875
transcript.pyannote[62].speaker SPEAKER_36
transcript.pyannote[62].start 1656.51471875
transcript.pyannote[62].end 1657.86471875
transcript.pyannote[63].speaker SPEAKER_36
transcript.pyannote[63].start 1658.67471875
transcript.pyannote[63].end 1680.81471875
transcript.pyannote[64].speaker SPEAKER_36
transcript.pyannote[64].start 1681.11846875
transcript.pyannote[64].end 1681.57409375
transcript.pyannote[65].speaker SPEAKER_36
transcript.pyannote[65].start 1682.38409375
transcript.pyannote[65].end 1684.18971875
transcript.pyannote[66].speaker SPEAKER_36
transcript.pyannote[66].start 1684.32471875
transcript.pyannote[66].end 1699.66409375
transcript.pyannote[67].speaker SPEAKER_36
transcript.pyannote[67].start 1700.49096875
transcript.pyannote[67].end 1716.33659375
transcript.pyannote[68].speaker SPEAKER_36
transcript.pyannote[68].start 1716.82596875
transcript.pyannote[68].end 1725.82034375
transcript.pyannote[69].speaker SPEAKER_36
transcript.pyannote[69].start 1725.97221875
transcript.pyannote[69].end 1740.04596875
transcript.pyannote[70].speaker SPEAKER_36
transcript.pyannote[70].start 1740.68721875
transcript.pyannote[70].end 1741.49721875
transcript.pyannote[71].speaker SPEAKER_36
transcript.pyannote[71].start 1741.96971875
transcript.pyannote[71].end 1744.19721875
transcript.pyannote[72].speaker SPEAKER_36
transcript.pyannote[72].start 1744.38284375
transcript.pyannote[72].end 1750.54221875
transcript.pyannote[73].speaker SPEAKER_36
transcript.pyannote[73].start 1750.81221875
transcript.pyannote[73].end 1797.38721875
transcript.pyannote[74].speaker SPEAKER_36
transcript.pyannote[74].start 1798.50096875
transcript.pyannote[74].end 1809.03096875
transcript.pyannote[75].speaker SPEAKER_36
transcript.pyannote[75].start 1809.73971875
transcript.pyannote[75].end 1810.11096875
transcript.pyannote[76].speaker SPEAKER_36
transcript.pyannote[76].start 1810.49909375
transcript.pyannote[76].end 1815.05534375
transcript.pyannote[77].speaker SPEAKER_36
transcript.pyannote[77].start 1815.17346875
transcript.pyannote[77].end 1819.12221875
transcript.pyannote[78].speaker SPEAKER_36
transcript.pyannote[78].start 1819.81409375
transcript.pyannote[78].end 1823.59409375
transcript.pyannote[79].speaker SPEAKER_36
transcript.pyannote[79].start 1823.93159375
transcript.pyannote[79].end 1825.09596875
transcript.pyannote[80].speaker SPEAKER_36
transcript.pyannote[80].start 1825.46721875
transcript.pyannote[80].end 1827.76221875
transcript.pyannote[81].speaker SPEAKER_36
transcript.pyannote[81].start 1828.25159375
transcript.pyannote[81].end 1832.62221875
transcript.pyannote[82].speaker SPEAKER_36
transcript.pyannote[82].start 1832.89221875
transcript.pyannote[82].end 1835.28846875
transcript.pyannote[83].speaker SPEAKER_36
transcript.pyannote[83].start 1837.02659375
transcript.pyannote[83].end 1849.49721875
transcript.pyannote[84].speaker SPEAKER_36
transcript.pyannote[84].start 1850.05409375
transcript.pyannote[84].end 1870.97909375
transcript.pyannote[85].speaker SPEAKER_36
transcript.pyannote[85].start 1871.55284375
transcript.pyannote[85].end 1872.91971875
transcript.pyannote[86].speaker SPEAKER_36
transcript.pyannote[86].start 1873.49346875
transcript.pyannote[86].end 1882.50471875
transcript.pyannote[87].speaker SPEAKER_05
transcript.pyannote[87].start 1883.31471875
transcript.pyannote[87].end 1885.15409375
transcript.pyannote[88].speaker SPEAKER_05
transcript.pyannote[88].start 1885.77846875
transcript.pyannote[88].end 1889.11971875
transcript.pyannote[89].speaker SPEAKER_05
transcript.pyannote[89].start 1889.18721875
transcript.pyannote[89].end 1890.60471875
transcript.pyannote[90].speaker SPEAKER_05
transcript.pyannote[90].start 1891.60034375
transcript.pyannote[90].end 1907.42909375
transcript.pyannote[91].speaker SPEAKER_05
transcript.pyannote[91].start 1907.83409375
transcript.pyannote[91].end 1911.68159375
transcript.pyannote[92].speaker SPEAKER_05
transcript.pyannote[92].start 1915.91721875
transcript.pyannote[92].end 1917.03096875
transcript.pyannote[93].speaker SPEAKER_05
transcript.pyannote[93].start 1917.35159375
transcript.pyannote[93].end 1920.70971875
transcript.pyannote[94].speaker SPEAKER_05
transcript.pyannote[94].start 1920.84471875
transcript.pyannote[94].end 1925.70471875
transcript.pyannote[95].speaker SPEAKER_05
transcript.pyannote[95].start 1926.54846875
transcript.pyannote[95].end 1926.56534375
transcript.pyannote[96].speaker SPEAKER_31
transcript.pyannote[96].start 1926.56534375
transcript.pyannote[96].end 1926.80159375
transcript.pyannote[97].speaker SPEAKER_05
transcript.pyannote[97].start 1926.80159375
transcript.pyannote[97].end 1927.47659375
transcript.pyannote[98].speaker SPEAKER_05
transcript.pyannote[98].start 1928.87721875
transcript.pyannote[98].end 1929.43409375
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 1929.43409375
transcript.pyannote[99].end 1929.46784375
transcript.pyannote[100].speaker SPEAKER_31
transcript.pyannote[100].start 1935.99846875
transcript.pyannote[100].end 1984.66596875
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 1936.45409375
transcript.pyannote[101].end 1936.47096875
transcript.pyannote[102].speaker SPEAKER_39
transcript.pyannote[102].start 1936.47096875
transcript.pyannote[102].end 1937.70284375
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 1937.70284375
transcript.pyannote[103].end 1937.73659375
transcript.pyannote[104].speaker SPEAKER_39
transcript.pyannote[104].start 1943.65971875
transcript.pyannote[104].end 1943.72721875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 1982.57346875
transcript.pyannote[105].end 1983.06284375
transcript.pyannote[106].speaker SPEAKER_31
transcript.pyannote[106].start 1984.76721875
transcript.pyannote[106].end 1996.83284375
transcript.pyannote[107].speaker SPEAKER_31
transcript.pyannote[107].start 1997.44034375
transcript.pyannote[107].end 2000.47784375
transcript.pyannote[108].speaker SPEAKER_31
transcript.pyannote[108].start 2000.86596875
transcript.pyannote[108].end 2017.62284375
transcript.pyannote[109].speaker SPEAKER_31
transcript.pyannote[109].start 2017.72409375
transcript.pyannote[109].end 2017.82534375
transcript.pyannote[110].speaker SPEAKER_36
transcript.pyannote[110].start 2017.82534375
transcript.pyannote[110].end 2018.36534375
transcript.pyannote[111].speaker SPEAKER_31
transcript.pyannote[111].start 2017.85909375
transcript.pyannote[111].end 2018.16284375
transcript.pyannote[112].speaker SPEAKER_36
transcript.pyannote[112].start 2018.41596875
transcript.pyannote[112].end 2019.54659375
transcript.pyannote[113].speaker SPEAKER_36
transcript.pyannote[113].start 2020.08659375
transcript.pyannote[113].end 2037.24846875
transcript.pyannote[114].speaker SPEAKER_31
transcript.pyannote[114].start 2036.91096875
transcript.pyannote[114].end 2037.34971875
transcript.pyannote[115].speaker SPEAKER_36
transcript.pyannote[115].start 2037.34971875
transcript.pyannote[115].end 2037.46784375
transcript.pyannote[116].speaker SPEAKER_31
transcript.pyannote[116].start 2037.46784375
transcript.pyannote[116].end 2038.75034375
transcript.pyannote[117].speaker SPEAKER_31
transcript.pyannote[117].start 2039.00346875
transcript.pyannote[117].end 2063.82659375
transcript.pyannote[118].speaker SPEAKER_31
transcript.pyannote[118].start 2063.94471875
transcript.pyannote[118].end 2085.73034375
transcript.pyannote[119].speaker SPEAKER_36
transcript.pyannote[119].start 2086.60784375
transcript.pyannote[119].end 2100.64784375
transcript.pyannote[120].speaker SPEAKER_31
transcript.pyannote[120].start 2100.64784375
transcript.pyannote[120].end 2101.15409375
transcript.pyannote[121].speaker SPEAKER_36
transcript.pyannote[121].start 2100.76596875
transcript.pyannote[121].end 2104.78221875
transcript.pyannote[122].speaker SPEAKER_36
transcript.pyannote[122].start 2105.06909375
transcript.pyannote[122].end 2105.55846875
transcript.pyannote[123].speaker SPEAKER_31
transcript.pyannote[123].start 2105.55846875
transcript.pyannote[123].end 2136.32159375
transcript.pyannote[124].speaker SPEAKER_30
transcript.pyannote[124].start 2115.34596875
transcript.pyannote[124].end 2115.44721875
transcript.pyannote[125].speaker SPEAKER_30
transcript.pyannote[125].start 2115.49784375
transcript.pyannote[125].end 2115.56534375
transcript.pyannote[126].speaker SPEAKER_36
transcript.pyannote[126].start 2136.52409375
transcript.pyannote[126].end 2137.09784375
transcript.pyannote[127].speaker SPEAKER_31
transcript.pyannote[127].start 2137.26659375
transcript.pyannote[127].end 2157.28034375
transcript.pyannote[128].speaker SPEAKER_31
transcript.pyannote[128].start 2157.63471875
transcript.pyannote[128].end 2159.23784375
transcript.pyannote[129].speaker SPEAKER_31
transcript.pyannote[129].start 2159.44034375
transcript.pyannote[129].end 2167.94534375
transcript.pyannote[130].speaker SPEAKER_31
transcript.pyannote[130].start 2168.33346875
transcript.pyannote[130].end 2291.55471875
transcript.pyannote[131].speaker SPEAKER_31
transcript.pyannote[131].start 2291.85846875
transcript.pyannote[131].end 2292.71909375
transcript.pyannote[132].speaker SPEAKER_31
transcript.pyannote[132].start 2292.92159375
transcript.pyannote[132].end 2295.67221875
transcript.pyannote[133].speaker SPEAKER_31
transcript.pyannote[133].start 2295.84096875
transcript.pyannote[133].end 2324.44409375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 2310.69096875
transcript.pyannote[134].end 2310.89346875
transcript.pyannote[135].speaker SPEAKER_31
transcript.pyannote[135].start 2325.11909375
transcript.pyannote[135].end 2328.07221875
transcript.pyannote[136].speaker SPEAKER_31
transcript.pyannote[136].start 2328.54471875
transcript.pyannote[136].end 2335.54784375
transcript.pyannote[137].speaker SPEAKER_31
transcript.pyannote[137].start 2336.05409375
transcript.pyannote[137].end 2407.16534375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 2388.01221875
transcript.pyannote[138].end 2388.13034375
transcript.pyannote[139].speaker SPEAKER_31
transcript.pyannote[139].start 2407.62096875
transcript.pyannote[139].end 2417.61096875
transcript.pyannote[140].speaker SPEAKER_31
transcript.pyannote[140].start 2417.74596875
transcript.pyannote[140].end 2454.19596875
transcript.pyannote[141].speaker SPEAKER_31
transcript.pyannote[141].start 2454.44909375
transcript.pyannote[141].end 2468.80971875
transcript.pyannote[142].speaker SPEAKER_31
transcript.pyannote[142].start 2468.94471875
transcript.pyannote[142].end 2474.20971875
transcript.pyannote[143].speaker SPEAKER_31
transcript.pyannote[143].start 2474.42909375
transcript.pyannote[143].end 2488.62096875
transcript.pyannote[144].speaker SPEAKER_31
transcript.pyannote[144].start 2488.87409375
transcript.pyannote[144].end 2495.84346875
transcript.pyannote[145].speaker SPEAKER_31
transcript.pyannote[145].start 2496.23159375
transcript.pyannote[145].end 2497.02471875
transcript.pyannote[146].speaker SPEAKER_31
transcript.pyannote[146].start 2497.44659375
transcript.pyannote[146].end 2498.23971875
transcript.pyannote[147].speaker SPEAKER_31
transcript.pyannote[147].start 2498.98221875
transcript.pyannote[147].end 2529.37409375
transcript.pyannote[148].speaker SPEAKER_31
transcript.pyannote[148].start 2529.71159375
transcript.pyannote[148].end 2570.51534375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 2550.87284375
transcript.pyannote[149].end 2551.02471875
transcript.pyannote[150].speaker SPEAKER_30
transcript.pyannote[150].start 2551.02471875
transcript.pyannote[150].end 2551.12596875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 2551.12596875
transcript.pyannote[151].end 2552.13846875
transcript.pyannote[152].speaker SPEAKER_30
transcript.pyannote[152].start 2552.13846875
transcript.pyannote[152].end 2552.47596875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 2552.47596875
transcript.pyannote[153].end 2552.50971875
transcript.pyannote[154].speaker SPEAKER_05
transcript.pyannote[154].start 2560.10346875
transcript.pyannote[154].end 2561.47034375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 2561.47034375
transcript.pyannote[155].end 2561.90909375
transcript.pyannote[156].speaker SPEAKER_36
transcript.pyannote[156].start 2569.14846875
transcript.pyannote[156].end 2570.27909375
transcript.pyannote[157].speaker SPEAKER_36
transcript.pyannote[157].start 2570.51534375
transcript.pyannote[157].end 2573.63721875
transcript.pyannote[158].speaker SPEAKER_31
transcript.pyannote[158].start 2571.42659375
transcript.pyannote[158].end 2571.69659375
transcript.pyannote[159].speaker SPEAKER_31
transcript.pyannote[159].start 2572.13534375
transcript.pyannote[159].end 2578.76721875
transcript.pyannote[160].speaker SPEAKER_05
transcript.pyannote[160].start 2573.63721875
transcript.pyannote[160].end 2573.72159375
transcript.pyannote[161].speaker SPEAKER_36
transcript.pyannote[161].start 2574.90284375
transcript.pyannote[161].end 2574.97034375
transcript.pyannote[162].speaker SPEAKER_05
transcript.pyannote[162].start 2574.97034375
transcript.pyannote[162].end 2575.12221875
transcript.pyannote[163].speaker SPEAKER_36
transcript.pyannote[163].start 2575.12221875
transcript.pyannote[163].end 2575.22346875
transcript.pyannote[164].speaker SPEAKER_05
transcript.pyannote[164].start 2575.22346875
transcript.pyannote[164].end 2575.27409375
transcript.pyannote[165].speaker SPEAKER_05
transcript.pyannote[165].start 2576.57346875
transcript.pyannote[165].end 2578.68284375
transcript.pyannote[166].speaker SPEAKER_05
transcript.pyannote[166].start 2578.71659375
transcript.pyannote[166].end 2579.91471875
transcript.pyannote[167].speaker SPEAKER_05
transcript.pyannote[167].start 2581.34909375
transcript.pyannote[167].end 2594.05596875
transcript.pyannote[168].speaker SPEAKER_29
transcript.pyannote[168].start 2597.80221875
transcript.pyannote[168].end 2600.26596875
transcript.pyannote[169].speaker SPEAKER_29
transcript.pyannote[169].start 2600.68784375
transcript.pyannote[169].end 2601.31221875
transcript.pyannote[170].speaker SPEAKER_05
transcript.pyannote[170].start 2601.31221875
transcript.pyannote[170].end 2601.36284375
transcript.pyannote[171].speaker SPEAKER_29
transcript.pyannote[171].start 2601.36284375
transcript.pyannote[171].end 2601.39659375
transcript.pyannote[172].speaker SPEAKER_05
transcript.pyannote[172].start 2601.39659375
transcript.pyannote[172].end 2601.66659375
transcript.pyannote[173].speaker SPEAKER_29
transcript.pyannote[173].start 2601.66659375
transcript.pyannote[173].end 2601.75096875
transcript.pyannote[174].speaker SPEAKER_33
transcript.pyannote[174].start 2609.17596875
transcript.pyannote[174].end 2610.40784375
transcript.pyannote[175].speaker SPEAKER_29
transcript.pyannote[175].start 2609.37846875
transcript.pyannote[175].end 2610.66096875
transcript.pyannote[176].speaker SPEAKER_29
transcript.pyannote[176].start 2610.99846875
transcript.pyannote[176].end 2615.43659375
transcript.pyannote[177].speaker SPEAKER_33
transcript.pyannote[177].start 2615.21721875
transcript.pyannote[177].end 2615.45346875
transcript.pyannote[178].speaker SPEAKER_39
transcript.pyannote[178].start 2615.45346875
transcript.pyannote[178].end 2615.50409375
transcript.pyannote[179].speaker SPEAKER_33
transcript.pyannote[179].start 2615.50409375
transcript.pyannote[179].end 2615.53784375
transcript.pyannote[180].speaker SPEAKER_29
transcript.pyannote[180].start 2615.53784375
transcript.pyannote[180].end 2620.78596875
transcript.pyannote[181].speaker SPEAKER_29
transcript.pyannote[181].start 2620.97159375
transcript.pyannote[181].end 2623.24971875
transcript.pyannote[182].speaker SPEAKER_29
transcript.pyannote[182].start 2623.51971875
transcript.pyannote[182].end 2624.29596875
transcript.pyannote[183].speaker SPEAKER_29
transcript.pyannote[183].start 2624.73471875
transcript.pyannote[183].end 2643.09471875
transcript.pyannote[184].speaker SPEAKER_39
transcript.pyannote[184].start 2627.72159375
transcript.pyannote[184].end 2628.16034375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 2641.66034375
transcript.pyannote[185].end 2641.67721875
transcript.pyannote[186].speaker SPEAKER_36
transcript.pyannote[186].start 2641.67721875
transcript.pyannote[186].end 2641.69409375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 2641.69409375
transcript.pyannote[187].end 2642.03159375
transcript.pyannote[188].speaker SPEAKER_36
transcript.pyannote[188].start 2642.03159375
transcript.pyannote[188].end 2643.88784375
transcript.pyannote[189].speaker SPEAKER_29
transcript.pyannote[189].start 2643.75284375
transcript.pyannote[189].end 2664.67784375
transcript.pyannote[190].speaker SPEAKER_29
transcript.pyannote[190].start 2665.08284375
transcript.pyannote[190].end 2680.47284375
transcript.pyannote[191].speaker SPEAKER_40
transcript.pyannote[191].start 2676.16971875
transcript.pyannote[191].end 2676.65909375
transcript.pyannote[192].speaker SPEAKER_29
transcript.pyannote[192].start 2680.67534375
transcript.pyannote[192].end 2747.80409375
transcript.pyannote[193].speaker SPEAKER_29
transcript.pyannote[193].start 2748.14159375
transcript.pyannote[193].end 2749.89659375
transcript.pyannote[194].speaker SPEAKER_29
transcript.pyannote[194].start 2750.36909375
transcript.pyannote[194].end 2753.01846875
transcript.pyannote[195].speaker SPEAKER_36
transcript.pyannote[195].start 2753.49096875
transcript.pyannote[195].end 2764.66221875
transcript.pyannote[196].speaker SPEAKER_33
transcript.pyannote[196].start 2756.59596875
transcript.pyannote[196].end 2756.83221875
transcript.pyannote[197].speaker SPEAKER_36
transcript.pyannote[197].start 2765.05034375
transcript.pyannote[197].end 2765.75909375
transcript.pyannote[198].speaker SPEAKER_36
transcript.pyannote[198].start 2766.31596875
transcript.pyannote[198].end 2774.44971875
transcript.pyannote[199].speaker SPEAKER_33
transcript.pyannote[199].start 2769.67409375
transcript.pyannote[199].end 2770.04534375
transcript.pyannote[200].speaker SPEAKER_36
transcript.pyannote[200].start 2774.65221875
transcript.pyannote[200].end 2780.20409375
transcript.pyannote[201].speaker SPEAKER_36
transcript.pyannote[201].start 2780.55846875
transcript.pyannote[201].end 2789.18159375
transcript.pyannote[202].speaker SPEAKER_29
transcript.pyannote[202].start 2789.18159375
transcript.pyannote[202].end 2789.26596875
transcript.pyannote[203].speaker SPEAKER_29
transcript.pyannote[203].start 2789.62034375
transcript.pyannote[203].end 2790.70034375
transcript.pyannote[204].speaker SPEAKER_29
transcript.pyannote[204].start 2790.98721875
transcript.pyannote[204].end 2792.32034375
transcript.pyannote[205].speaker SPEAKER_29
transcript.pyannote[205].start 2792.48909375
transcript.pyannote[205].end 2822.98221875
transcript.pyannote[206].speaker SPEAKER_36
transcript.pyannote[206].start 2793.77159375
transcript.pyannote[206].end 2793.78846875
transcript.pyannote[207].speaker SPEAKER_39
transcript.pyannote[207].start 2793.78846875
transcript.pyannote[207].end 2794.15971875
transcript.pyannote[208].speaker SPEAKER_36
transcript.pyannote[208].start 2794.15971875
transcript.pyannote[208].end 2794.17659375
transcript.pyannote[209].speaker SPEAKER_39
transcript.pyannote[209].start 2817.51471875
transcript.pyannote[209].end 2818.02096875
transcript.pyannote[210].speaker SPEAKER_39
transcript.pyannote[210].start 2818.15596875
transcript.pyannote[210].end 2818.25721875
transcript.pyannote[211].speaker SPEAKER_25
transcript.pyannote[211].start 2818.25721875
transcript.pyannote[211].end 2818.57784375
transcript.pyannote[212].speaker SPEAKER_39
transcript.pyannote[212].start 2818.57784375
transcript.pyannote[212].end 2818.62846875
transcript.pyannote[213].speaker SPEAKER_29
transcript.pyannote[213].start 2823.31971875
transcript.pyannote[213].end 2831.99346875
transcript.pyannote[214].speaker SPEAKER_22
transcript.pyannote[214].start 2832.09471875
transcript.pyannote[214].end 2833.02284375
transcript.pyannote[215].speaker SPEAKER_29
transcript.pyannote[215].start 2832.76971875
transcript.pyannote[215].end 2833.17471875
transcript.pyannote[216].speaker SPEAKER_29
transcript.pyannote[216].start 2833.36034375
transcript.pyannote[216].end 2847.18096875
transcript.pyannote[217].speaker SPEAKER_29
transcript.pyannote[217].start 2847.36659375
transcript.pyannote[217].end 2851.23096875
transcript.pyannote[218].speaker SPEAKER_29
transcript.pyannote[218].start 2851.77096875
transcript.pyannote[218].end 2856.25971875
transcript.pyannote[219].speaker SPEAKER_29
transcript.pyannote[219].start 2857.12034375
transcript.pyannote[219].end 2871.48096875
transcript.pyannote[220].speaker SPEAKER_29
transcript.pyannote[220].start 2871.85221875
transcript.pyannote[220].end 2909.63534375
transcript.pyannote[221].speaker SPEAKER_39
transcript.pyannote[221].start 2884.79534375
transcript.pyannote[221].end 2885.40284375
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 2885.40284375
transcript.pyannote[222].end 2885.41971875
transcript.pyannote[223].speaker SPEAKER_29
transcript.pyannote[223].start 2909.88846875
transcript.pyannote[223].end 2911.12034375
transcript.pyannote[224].speaker SPEAKER_29
transcript.pyannote[224].start 2911.84596875
transcript.pyannote[224].end 2929.21034375
transcript.pyannote[225].speaker SPEAKER_29
transcript.pyannote[225].start 2929.51409375
transcript.pyannote[225].end 2956.41284375
transcript.pyannote[226].speaker SPEAKER_39
transcript.pyannote[226].start 2934.67784375
transcript.pyannote[226].end 2934.74534375
transcript.pyannote[227].speaker SPEAKER_29
transcript.pyannote[227].start 2956.83471875
transcript.pyannote[227].end 2964.83346875
transcript.pyannote[228].speaker SPEAKER_29
transcript.pyannote[228].start 2964.91784375
transcript.pyannote[228].end 2965.57596875
transcript.pyannote[229].speaker SPEAKER_29
transcript.pyannote[229].start 2966.06534375
transcript.pyannote[229].end 2974.46909375
transcript.pyannote[230].speaker SPEAKER_29
transcript.pyannote[230].start 2974.90784375
transcript.pyannote[230].end 2977.18596875
transcript.pyannote[231].speaker SPEAKER_29
transcript.pyannote[231].start 2977.43909375
transcript.pyannote[231].end 2979.91971875
transcript.pyannote[232].speaker SPEAKER_29
transcript.pyannote[232].start 2980.39221875
transcript.pyannote[232].end 2981.33721875
transcript.pyannote[233].speaker SPEAKER_29
transcript.pyannote[233].start 2981.80971875
transcript.pyannote[233].end 2986.58534375
transcript.pyannote[234].speaker SPEAKER_29
transcript.pyannote[234].start 2987.04096875
transcript.pyannote[234].end 2990.75346875
transcript.pyannote[235].speaker SPEAKER_29
transcript.pyannote[235].start 2991.15846875
transcript.pyannote[235].end 2995.09034375
transcript.pyannote[236].speaker SPEAKER_29
transcript.pyannote[236].start 2995.29284375
transcript.pyannote[236].end 3015.52596875
transcript.pyannote[237].speaker SPEAKER_29
transcript.pyannote[237].start 3016.42034375
transcript.pyannote[237].end 3016.80846875
transcript.pyannote[238].speaker SPEAKER_29
transcript.pyannote[238].start 3017.04471875
transcript.pyannote[238].end 3019.82909375
transcript.pyannote[239].speaker SPEAKER_29
transcript.pyannote[239].start 3020.06534375
transcript.pyannote[239].end 3030.81471875
transcript.pyannote[240].speaker SPEAKER_36
transcript.pyannote[240].start 3029.75159375
transcript.pyannote[240].end 3046.50846875
transcript.pyannote[241].speaker SPEAKER_29
transcript.pyannote[241].start 3044.78721875
transcript.pyannote[241].end 3059.89034375
transcript.pyannote[242].speaker SPEAKER_36
transcript.pyannote[242].start 3049.20846875
transcript.pyannote[242].end 3049.81596875
transcript.pyannote[243].speaker SPEAKER_36
transcript.pyannote[243].start 3060.19409375
transcript.pyannote[243].end 3081.35534375
transcript.pyannote[244].speaker SPEAKER_39
transcript.pyannote[244].start 3069.25596875
transcript.pyannote[244].end 3069.79596875
transcript.pyannote[245].speaker SPEAKER_29
transcript.pyannote[245].start 3080.05596875
transcript.pyannote[245].end 3082.28346875
transcript.pyannote[246].speaker SPEAKER_36
transcript.pyannote[246].start 3082.28346875
transcript.pyannote[246].end 3083.22846875
transcript.pyannote[247].speaker SPEAKER_29
transcript.pyannote[247].start 3082.84034375
transcript.pyannote[247].end 3090.14721875
transcript.pyannote[248].speaker SPEAKER_36
transcript.pyannote[248].start 3085.82721875
transcript.pyannote[248].end 3087.64971875
transcript.pyannote[249].speaker SPEAKER_36
transcript.pyannote[249].start 3087.95346875
transcript.pyannote[249].end 3088.29096875
transcript.pyannote[250].speaker SPEAKER_29
transcript.pyannote[250].start 3090.34971875
transcript.pyannote[250].end 3090.40034375
transcript.pyannote[251].speaker SPEAKER_36
transcript.pyannote[251].start 3090.40034375
transcript.pyannote[251].end 3093.87659375
transcript.pyannote[252].speaker SPEAKER_36
transcript.pyannote[252].start 3094.24784375
transcript.pyannote[252].end 3099.12471875
transcript.pyannote[253].speaker SPEAKER_29
transcript.pyannote[253].start 3098.85471875
transcript.pyannote[253].end 3113.43471875
transcript.pyannote[254].speaker SPEAKER_28
transcript.pyannote[254].start 3105.46971875
transcript.pyannote[254].end 3105.53721875
transcript.pyannote[255].speaker SPEAKER_00
transcript.pyannote[255].start 3106.02659375
transcript.pyannote[255].end 3106.04346875
transcript.pyannote[256].speaker SPEAKER_00
transcript.pyannote[256].start 3106.54971875
transcript.pyannote[256].end 3107.03909375
transcript.pyannote[257].speaker SPEAKER_28
transcript.pyannote[257].start 3107.03909375
transcript.pyannote[257].end 3107.37659375
transcript.pyannote[258].speaker SPEAKER_00
transcript.pyannote[258].start 3107.37659375
transcript.pyannote[258].end 3107.61284375
transcript.pyannote[259].speaker SPEAKER_00
transcript.pyannote[259].start 3110.97096875
transcript.pyannote[259].end 3111.03846875
transcript.pyannote[260].speaker SPEAKER_07
transcript.pyannote[260].start 3111.03846875
transcript.pyannote[260].end 3111.47721875
transcript.pyannote[261].speaker SPEAKER_00
transcript.pyannote[261].start 3111.47721875
transcript.pyannote[261].end 3112.21971875
transcript.pyannote[262].speaker SPEAKER_29
transcript.pyannote[262].start 3113.56971875
transcript.pyannote[262].end 3114.02534375
transcript.pyannote[263].speaker SPEAKER_29
transcript.pyannote[263].start 3114.39659375
transcript.pyannote[263].end 3120.38721875
transcript.pyannote[264].speaker SPEAKER_36
transcript.pyannote[264].start 3120.38721875
transcript.pyannote[264].end 3120.40409375
transcript.pyannote[265].speaker SPEAKER_29
transcript.pyannote[265].start 3120.91034375
transcript.pyannote[265].end 3120.92721875
transcript.pyannote[266].speaker SPEAKER_36
transcript.pyannote[266].start 3120.92721875
transcript.pyannote[266].end 3123.01971875
transcript.pyannote[267].speaker SPEAKER_29
transcript.pyannote[267].start 3120.94409375
transcript.pyannote[267].end 3121.50096875
transcript.pyannote[268].speaker SPEAKER_36
transcript.pyannote[268].start 3123.25596875
transcript.pyannote[268].end 3133.70159375
transcript.pyannote[269].speaker SPEAKER_00
transcript.pyannote[269].start 3128.79096875
transcript.pyannote[269].end 3128.80784375
transcript.pyannote[270].speaker SPEAKER_39
transcript.pyannote[270].start 3128.80784375
transcript.pyannote[270].end 3128.97659375
transcript.pyannote[271].speaker SPEAKER_00
transcript.pyannote[271].start 3128.97659375
transcript.pyannote[271].end 3129.34784375
transcript.pyannote[272].speaker SPEAKER_36
transcript.pyannote[272].start 3133.87034375
transcript.pyannote[272].end 3139.21971875
transcript.pyannote[273].speaker SPEAKER_36
transcript.pyannote[273].start 3139.70909375
transcript.pyannote[273].end 3157.91721875
transcript.pyannote[274].speaker SPEAKER_36
transcript.pyannote[274].start 3158.42346875
transcript.pyannote[274].end 3177.69471875
transcript.pyannote[275].speaker SPEAKER_29
transcript.pyannote[275].start 3177.69471875
transcript.pyannote[275].end 3208.28909375
transcript.pyannote[276].speaker SPEAKER_36
transcript.pyannote[276].start 3177.72846875
transcript.pyannote[276].end 3177.82971875
transcript.pyannote[277].speaker SPEAKER_29
transcript.pyannote[277].start 3209.13284375
transcript.pyannote[277].end 3215.79846875
transcript.pyannote[278].speaker SPEAKER_29
transcript.pyannote[278].start 3216.11909375
transcript.pyannote[278].end 3217.94159375
transcript.pyannote[279].speaker SPEAKER_29
transcript.pyannote[279].start 3218.26221875
transcript.pyannote[279].end 3231.55971875
transcript.pyannote[280].speaker SPEAKER_29
transcript.pyannote[280].start 3231.77909375
transcript.pyannote[280].end 3249.91971875
transcript.pyannote[281].speaker SPEAKER_39
transcript.pyannote[281].start 3237.22971875
transcript.pyannote[281].end 3237.33096875
transcript.pyannote[282].speaker SPEAKER_29
transcript.pyannote[282].start 3249.98721875
transcript.pyannote[282].end 3250.02096875
transcript.pyannote[283].speaker SPEAKER_36
transcript.pyannote[283].start 3250.02096875
transcript.pyannote[283].end 3263.28471875
transcript.pyannote[284].speaker SPEAKER_29
transcript.pyannote[284].start 3261.47909375
transcript.pyannote[284].end 3264.92159375
transcript.pyannote[285].speaker SPEAKER_36
transcript.pyannote[285].start 3265.17471875
transcript.pyannote[285].end 3265.63034375
transcript.pyannote[286].speaker SPEAKER_29
transcript.pyannote[286].start 3265.44471875
transcript.pyannote[286].end 3265.96784375
transcript.pyannote[287].speaker SPEAKER_05
transcript.pyannote[287].start 3265.63034375
transcript.pyannote[287].end 3268.60034375
transcript.pyannote[288].speaker SPEAKER_36
transcript.pyannote[288].start 3265.96784375
transcript.pyannote[288].end 3266.08596875
transcript.pyannote[289].speaker SPEAKER_29
transcript.pyannote[289].start 3266.08596875
transcript.pyannote[289].end 3267.41909375
transcript.pyannote[290].speaker SPEAKER_35
transcript.pyannote[290].start 3267.41909375
transcript.pyannote[290].end 3267.43596875
transcript.pyannote[291].speaker SPEAKER_35
transcript.pyannote[291].start 3267.97596875
transcript.pyannote[291].end 3268.04346875
transcript.pyannote[292].speaker SPEAKER_29
transcript.pyannote[292].start 3268.04346875
transcript.pyannote[292].end 3268.33034375
transcript.pyannote[293].speaker SPEAKER_05
transcript.pyannote[293].start 3272.56596875
transcript.pyannote[293].end 3275.08034375
transcript.pyannote[294].speaker SPEAKER_23
transcript.pyannote[294].start 3281.07096875
transcript.pyannote[294].end 3283.07909375
transcript.pyannote[295].speaker SPEAKER_23
transcript.pyannote[295].start 3283.88909375
transcript.pyannote[295].end 3284.96909375
transcript.pyannote[296].speaker SPEAKER_36
transcript.pyannote[296].start 3290.43659375
transcript.pyannote[296].end 3291.22971875
transcript.pyannote[297].speaker SPEAKER_23
transcript.pyannote[297].start 3291.78659375
transcript.pyannote[297].end 3295.49909375
transcript.pyannote[298].speaker SPEAKER_23
transcript.pyannote[298].start 3295.61721875
transcript.pyannote[298].end 3306.77159375
transcript.pyannote[299].speaker SPEAKER_36
transcript.pyannote[299].start 3298.16534375
transcript.pyannote[299].end 3298.48596875
transcript.pyannote[300].speaker SPEAKER_33
transcript.pyannote[300].start 3298.48596875
transcript.pyannote[300].end 3298.51971875
transcript.pyannote[301].speaker SPEAKER_23
transcript.pyannote[301].start 3307.24409375
transcript.pyannote[301].end 3313.36971875
transcript.pyannote[302].speaker SPEAKER_23
transcript.pyannote[302].start 3313.70721875
transcript.pyannote[302].end 3314.44971875
transcript.pyannote[303].speaker SPEAKER_23
transcript.pyannote[303].start 3314.75346875
transcript.pyannote[303].end 3315.31034375
transcript.pyannote[304].speaker SPEAKER_23
transcript.pyannote[304].start 3315.98534375
transcript.pyannote[304].end 3325.31721875
transcript.pyannote[305].speaker SPEAKER_40
transcript.pyannote[305].start 3321.35159375
transcript.pyannote[305].end 3321.55409375
transcript.pyannote[306].speaker SPEAKER_40
transcript.pyannote[306].start 3321.73971875
transcript.pyannote[306].end 3321.79034375
transcript.pyannote[307].speaker SPEAKER_23
transcript.pyannote[307].start 3325.65471875
transcript.pyannote[307].end 3330.64971875
transcript.pyannote[308].speaker SPEAKER_23
transcript.pyannote[308].start 3330.75096875
transcript.pyannote[308].end 3333.56909375
transcript.pyannote[309].speaker SPEAKER_23
transcript.pyannote[309].start 3333.61971875
transcript.pyannote[309].end 3337.66971875
transcript.pyannote[310].speaker SPEAKER_23
transcript.pyannote[310].start 3338.07471875
transcript.pyannote[310].end 3339.66096875
transcript.pyannote[311].speaker SPEAKER_23
transcript.pyannote[311].start 3340.33596875
transcript.pyannote[311].end 3343.45784375
transcript.pyannote[312].speaker SPEAKER_23
transcript.pyannote[312].start 3343.69409375
transcript.pyannote[312].end 3344.97659375
transcript.pyannote[313].speaker SPEAKER_23
transcript.pyannote[313].start 3345.09471875
transcript.pyannote[313].end 3346.00596875
transcript.pyannote[314].speaker SPEAKER_23
transcript.pyannote[314].start 3346.30971875
transcript.pyannote[314].end 3348.38534375
transcript.pyannote[315].speaker SPEAKER_23
transcript.pyannote[315].start 3348.73971875
transcript.pyannote[315].end 3360.48471875
transcript.pyannote[316].speaker SPEAKER_23
transcript.pyannote[316].start 3360.90659375
transcript.pyannote[316].end 3372.39846875
transcript.pyannote[317].speaker SPEAKER_23
transcript.pyannote[317].start 3373.17471875
transcript.pyannote[317].end 3375.68909375
transcript.pyannote[318].speaker SPEAKER_23
transcript.pyannote[318].start 3376.04346875
transcript.pyannote[318].end 3379.36784375
transcript.pyannote[319].speaker SPEAKER_23
transcript.pyannote[319].start 3379.94159375
transcript.pyannote[319].end 3381.07221875
transcript.pyannote[320].speaker SPEAKER_23
transcript.pyannote[320].start 3381.46034375
transcript.pyannote[320].end 3384.66659375
transcript.pyannote[321].speaker SPEAKER_23
transcript.pyannote[321].start 3385.05471875
transcript.pyannote[321].end 3386.69159375
transcript.pyannote[322].speaker SPEAKER_23
transcript.pyannote[322].start 3387.14721875
transcript.pyannote[322].end 3390.31971875
transcript.pyannote[323].speaker SPEAKER_23
transcript.pyannote[323].start 3390.64034375
transcript.pyannote[323].end 3392.22659375
transcript.pyannote[324].speaker SPEAKER_23
transcript.pyannote[324].start 3392.80034375
transcript.pyannote[324].end 3395.48346875
transcript.pyannote[325].speaker SPEAKER_00
transcript.pyannote[325].start 3395.11221875
transcript.pyannote[325].end 3395.31471875
transcript.pyannote[326].speaker SPEAKER_23
transcript.pyannote[326].start 3396.37784375
transcript.pyannote[326].end 3399.63471875
transcript.pyannote[327].speaker SPEAKER_23
transcript.pyannote[327].start 3400.17471875
transcript.pyannote[327].end 3402.75659375
transcript.pyannote[328].speaker SPEAKER_23
transcript.pyannote[328].start 3402.89159375
transcript.pyannote[328].end 3403.65096875
transcript.pyannote[329].speaker SPEAKER_23
transcript.pyannote[329].start 3403.76909375
transcript.pyannote[329].end 3405.42284375
transcript.pyannote[330].speaker SPEAKER_23
transcript.pyannote[330].start 3405.59159375
transcript.pyannote[330].end 3406.14846875
transcript.pyannote[331].speaker SPEAKER_23
transcript.pyannote[331].start 3406.90784375
transcript.pyannote[331].end 3408.96659375
transcript.pyannote[332].speaker SPEAKER_23
transcript.pyannote[332].start 3409.55721875
transcript.pyannote[332].end 3414.16409375
transcript.pyannote[333].speaker SPEAKER_23
transcript.pyannote[333].start 3414.46784375
transcript.pyannote[333].end 3417.94409375
transcript.pyannote[334].speaker SPEAKER_23
transcript.pyannote[334].start 3418.63596875
transcript.pyannote[334].end 3420.86346875
transcript.pyannote[335].speaker SPEAKER_33
transcript.pyannote[335].start 3420.86346875
transcript.pyannote[335].end 3421.20096875
transcript.pyannote[336].speaker SPEAKER_23
transcript.pyannote[336].start 3421.53846875
transcript.pyannote[336].end 3428.37284375
transcript.pyannote[337].speaker SPEAKER_23
transcript.pyannote[337].start 3428.96346875
transcript.pyannote[337].end 3431.88284375
transcript.pyannote[338].speaker SPEAKER_23
transcript.pyannote[338].start 3432.43971875
transcript.pyannote[338].end 3440.50596875
transcript.pyannote[339].speaker SPEAKER_23
transcript.pyannote[339].start 3441.09659375
transcript.pyannote[339].end 3442.12596875
transcript.pyannote[340].speaker SPEAKER_23
transcript.pyannote[340].start 3442.68284375
transcript.pyannote[340].end 3445.93971875
transcript.pyannote[341].speaker SPEAKER_23
transcript.pyannote[341].start 3446.59784375
transcript.pyannote[341].end 3447.77909375
transcript.pyannote[342].speaker SPEAKER_23
transcript.pyannote[342].start 3448.80846875
transcript.pyannote[342].end 3454.74846875
transcript.pyannote[343].speaker SPEAKER_23
transcript.pyannote[343].start 3455.49096875
transcript.pyannote[343].end 3461.36346875
transcript.pyannote[344].speaker SPEAKER_23
transcript.pyannote[344].start 3462.02159375
transcript.pyannote[344].end 3463.11846875
transcript.pyannote[345].speaker SPEAKER_36
transcript.pyannote[345].start 3463.35471875
transcript.pyannote[345].end 3463.48971875
transcript.pyannote[346].speaker SPEAKER_36
transcript.pyannote[346].start 3464.92409375
transcript.pyannote[346].end 3467.47221875
transcript.pyannote[347].speaker SPEAKER_36
transcript.pyannote[347].start 3468.31596875
transcript.pyannote[347].end 3469.68284375
transcript.pyannote[348].speaker SPEAKER_36
transcript.pyannote[348].start 3470.23971875
transcript.pyannote[348].end 3484.41471875
transcript.pyannote[349].speaker SPEAKER_33
transcript.pyannote[349].start 3471.60659375
transcript.pyannote[349].end 3472.21409375
transcript.pyannote[350].speaker SPEAKER_23
transcript.pyannote[350].start 3483.99284375
transcript.pyannote[350].end 3485.03909375
transcript.pyannote[351].speaker SPEAKER_23
transcript.pyannote[351].start 3485.44409375
transcript.pyannote[351].end 3487.51971875
transcript.pyannote[352].speaker SPEAKER_23
transcript.pyannote[352].start 3487.75596875
transcript.pyannote[352].end 3488.32971875
transcript.pyannote[353].speaker SPEAKER_23
transcript.pyannote[353].start 3488.86971875
transcript.pyannote[353].end 3490.74284375
transcript.pyannote[354].speaker SPEAKER_36
transcript.pyannote[354].start 3491.58659375
transcript.pyannote[354].end 3498.38721875
transcript.pyannote[355].speaker SPEAKER_23
transcript.pyannote[355].start 3497.12159375
transcript.pyannote[355].end 3501.03659375
transcript.pyannote[356].speaker SPEAKER_36
transcript.pyannote[356].start 3501.47534375
transcript.pyannote[356].end 3501.74534375
transcript.pyannote[357].speaker SPEAKER_23
transcript.pyannote[357].start 3501.84659375
transcript.pyannote[357].end 3503.07846875
transcript.pyannote[358].speaker SPEAKER_36
transcript.pyannote[358].start 3503.07846875
transcript.pyannote[358].end 3509.45721875
transcript.pyannote[359].speaker SPEAKER_36
transcript.pyannote[359].start 3510.11534375
transcript.pyannote[359].end 3510.36846875
transcript.pyannote[360].speaker SPEAKER_36
transcript.pyannote[360].start 3510.63846875
transcript.pyannote[360].end 3512.39346875
transcript.pyannote[361].speaker SPEAKER_23
transcript.pyannote[361].start 3511.83659375
transcript.pyannote[361].end 3516.47721875
transcript.pyannote[362].speaker SPEAKER_36
transcript.pyannote[362].start 3512.89971875
transcript.pyannote[362].end 3513.97971875
transcript.pyannote[363].speaker SPEAKER_23
transcript.pyannote[363].start 3517.21971875
transcript.pyannote[363].end 3517.79346875
transcript.pyannote[364].speaker SPEAKER_23
transcript.pyannote[364].start 3518.31659375
transcript.pyannote[364].end 3519.56534375
transcript.pyannote[365].speaker SPEAKER_23
transcript.pyannote[365].start 3519.86909375
transcript.pyannote[365].end 3522.68721875
transcript.pyannote[366].speaker SPEAKER_23
transcript.pyannote[366].start 3522.80534375
transcript.pyannote[366].end 3523.48034375
transcript.pyannote[367].speaker SPEAKER_23
transcript.pyannote[367].start 3524.18909375
transcript.pyannote[367].end 3524.67846875
transcript.pyannote[368].speaker SPEAKER_23
transcript.pyannote[368].start 3524.88096875
transcript.pyannote[368].end 3526.53471875
transcript.pyannote[369].speaker SPEAKER_23
transcript.pyannote[369].start 3527.02409375
transcript.pyannote[369].end 3528.28971875
transcript.pyannote[370].speaker SPEAKER_23
transcript.pyannote[370].start 3529.70721875
transcript.pyannote[370].end 3531.61409375
transcript.pyannote[371].speaker SPEAKER_36
transcript.pyannote[371].start 3532.06971875
transcript.pyannote[371].end 3534.12846875
transcript.pyannote[372].speaker SPEAKER_23
transcript.pyannote[372].start 3533.47034375
transcript.pyannote[372].end 3534.07784375
transcript.pyannote[373].speaker SPEAKER_23
transcript.pyannote[373].start 3534.53346875
transcript.pyannote[373].end 3536.91284375
transcript.pyannote[374].speaker SPEAKER_36
transcript.pyannote[374].start 3534.60096875
transcript.pyannote[374].end 3535.00596875
transcript.pyannote[375].speaker SPEAKER_36
transcript.pyannote[375].start 3535.66409375
transcript.pyannote[375].end 3537.45284375
transcript.pyannote[376].speaker SPEAKER_36
transcript.pyannote[376].start 3537.82409375
transcript.pyannote[376].end 3539.30909375
transcript.pyannote[377].speaker SPEAKER_23
transcript.pyannote[377].start 3539.30909375
transcript.pyannote[377].end 3543.51096875
transcript.pyannote[378].speaker SPEAKER_23
transcript.pyannote[378].start 3544.50659375
transcript.pyannote[378].end 3547.84784375
transcript.pyannote[379].speaker SPEAKER_36
transcript.pyannote[379].start 3544.54034375
transcript.pyannote[379].end 3545.19846875
transcript.pyannote[380].speaker SPEAKER_36
transcript.pyannote[380].start 3547.84784375
transcript.pyannote[380].end 3552.79221875
transcript.pyannote[381].speaker SPEAKER_36
transcript.pyannote[381].start 3553.18034375
transcript.pyannote[381].end 3557.51721875
transcript.pyannote[382].speaker SPEAKER_23
transcript.pyannote[382].start 3557.51721875
transcript.pyannote[382].end 3565.63409375
transcript.pyannote[383].speaker SPEAKER_36
transcript.pyannote[383].start 3569.41409375
transcript.pyannote[383].end 3578.67846875
transcript.pyannote[384].speaker SPEAKER_36
transcript.pyannote[384].start 3579.18471875
transcript.pyannote[384].end 3585.02346875
transcript.pyannote[385].speaker SPEAKER_23
transcript.pyannote[385].start 3582.96471875
transcript.pyannote[385].end 3584.90534375
transcript.pyannote[386].speaker SPEAKER_23
transcript.pyannote[386].start 3585.25971875
transcript.pyannote[386].end 3588.14534375
transcript.pyannote[387].speaker SPEAKER_23
transcript.pyannote[387].start 3588.66846875
transcript.pyannote[387].end 3593.25846875
transcript.pyannote[388].speaker SPEAKER_23
transcript.pyannote[388].start 3593.74784375
transcript.pyannote[388].end 3598.79346875
transcript.pyannote[389].speaker SPEAKER_00
transcript.pyannote[389].start 3593.78159375
transcript.pyannote[389].end 3593.84909375
transcript.pyannote[390].speaker SPEAKER_39
transcript.pyannote[390].start 3593.84909375
transcript.pyannote[390].end 3594.43971875
transcript.pyannote[391].speaker SPEAKER_39
transcript.pyannote[391].start 3594.62534375
transcript.pyannote[391].end 3595.01346875
transcript.pyannote[392].speaker SPEAKER_23
transcript.pyannote[392].start 3599.02971875
transcript.pyannote[392].end 3599.95784375
transcript.pyannote[393].speaker SPEAKER_23
transcript.pyannote[393].start 3600.21096875
transcript.pyannote[393].end 3602.11784375
transcript.pyannote[394].speaker SPEAKER_23
transcript.pyannote[394].start 3602.20221875
transcript.pyannote[394].end 3603.87284375
transcript.pyannote[395].speaker SPEAKER_23
transcript.pyannote[395].start 3604.37909375
transcript.pyannote[395].end 3608.17596875
transcript.pyannote[396].speaker SPEAKER_23
transcript.pyannote[396].start 3608.61471875
transcript.pyannote[396].end 3611.36534375
transcript.pyannote[397].speaker SPEAKER_40
transcript.pyannote[397].start 3611.36534375
transcript.pyannote[397].end 3611.66909375
transcript.pyannote[398].speaker SPEAKER_23
transcript.pyannote[398].start 3612.41159375
transcript.pyannote[398].end 3623.86971875
transcript.pyannote[399].speaker SPEAKER_40
transcript.pyannote[399].start 3613.72784375
transcript.pyannote[399].end 3614.75721875
transcript.pyannote[400].speaker SPEAKER_23
transcript.pyannote[400].start 3624.35909375
transcript.pyannote[400].end 3625.54034375
transcript.pyannote[401].speaker SPEAKER_23
transcript.pyannote[401].start 3626.21534375
transcript.pyannote[401].end 3630.92346875
transcript.pyannote[402].speaker SPEAKER_23
transcript.pyannote[402].start 3631.15971875
transcript.pyannote[402].end 3633.58971875
transcript.pyannote[403].speaker SPEAKER_36
transcript.pyannote[403].start 3634.18034375
transcript.pyannote[403].end 3640.96409375
transcript.pyannote[404].speaker SPEAKER_23
transcript.pyannote[404].start 3638.85471875
transcript.pyannote[404].end 3639.32721875
transcript.pyannote[405].speaker SPEAKER_23
transcript.pyannote[405].start 3639.96846875
transcript.pyannote[405].end 3642.51659375
transcript.pyannote[406].speaker SPEAKER_23
transcript.pyannote[406].start 3642.92159375
transcript.pyannote[406].end 3646.93784375
transcript.pyannote[407].speaker SPEAKER_23
transcript.pyannote[407].start 3647.17409375
transcript.pyannote[407].end 3650.44784375
transcript.pyannote[408].speaker SPEAKER_40
transcript.pyannote[408].start 3650.44784375
transcript.pyannote[408].end 3650.78534375
transcript.pyannote[409].speaker SPEAKER_23
transcript.pyannote[409].start 3651.08909375
transcript.pyannote[409].end 3660.65721875
transcript.pyannote[410].speaker SPEAKER_40
transcript.pyannote[410].start 3658.09221875
transcript.pyannote[410].end 3658.96971875
transcript.pyannote[411].speaker SPEAKER_37
transcript.pyannote[411].start 3658.96971875
transcript.pyannote[411].end 3659.03721875
transcript.pyannote[412].speaker SPEAKER_39
transcript.pyannote[412].start 3659.03721875
transcript.pyannote[412].end 3659.69534375
transcript.pyannote[413].speaker SPEAKER_23
transcript.pyannote[413].start 3660.69096875
transcript.pyannote[413].end 3666.46221875
transcript.pyannote[414].speaker SPEAKER_39
transcript.pyannote[414].start 3660.74159375
transcript.pyannote[414].end 3661.24784375
transcript.pyannote[415].speaker SPEAKER_23
transcript.pyannote[415].start 3666.86721875
transcript.pyannote[415].end 3672.95909375
transcript.pyannote[416].speaker SPEAKER_39
transcript.pyannote[416].start 3666.90096875
transcript.pyannote[416].end 3667.22159375
transcript.pyannote[417].speaker SPEAKER_23
transcript.pyannote[417].start 3673.58346875
transcript.pyannote[417].end 3679.11846875
transcript.pyannote[418].speaker SPEAKER_36
transcript.pyannote[418].start 3675.22034375
transcript.pyannote[418].end 3675.42284375
transcript.pyannote[419].speaker SPEAKER_36
transcript.pyannote[419].start 3675.45659375
transcript.pyannote[419].end 3675.47346875
transcript.pyannote[420].speaker SPEAKER_36
transcript.pyannote[420].start 3675.86159375
transcript.pyannote[420].end 3676.16534375
transcript.pyannote[421].speaker SPEAKER_36
transcript.pyannote[421].start 3679.21971875
transcript.pyannote[421].end 3692.61846875
transcript.pyannote[422].speaker SPEAKER_23
transcript.pyannote[422].start 3691.03221875
transcript.pyannote[422].end 3691.31909375
transcript.pyannote[423].speaker SPEAKER_23
transcript.pyannote[423].start 3692.01096875
transcript.pyannote[423].end 3692.75346875
transcript.pyannote[424].speaker SPEAKER_23
transcript.pyannote[424].start 3693.00659375
transcript.pyannote[424].end 3694.25534375
transcript.pyannote[425].speaker SPEAKER_36
transcript.pyannote[425].start 3694.25534375
transcript.pyannote[425].end 3694.50846875
transcript.pyannote[426].speaker SPEAKER_23
transcript.pyannote[426].start 3694.86284375
transcript.pyannote[426].end 3695.87534375
transcript.pyannote[427].speaker SPEAKER_23
transcript.pyannote[427].start 3696.34784375
transcript.pyannote[427].end 3698.89596875
transcript.pyannote[428].speaker SPEAKER_23
transcript.pyannote[428].start 3699.36846875
transcript.pyannote[428].end 3702.62534375
transcript.pyannote[429].speaker SPEAKER_23
transcript.pyannote[429].start 3703.33409375
transcript.pyannote[429].end 3708.07596875
transcript.pyannote[430].speaker SPEAKER_23
transcript.pyannote[430].start 3708.37971875
transcript.pyannote[430].end 3723.75284375
transcript.pyannote[431].speaker SPEAKER_37
transcript.pyannote[431].start 3723.66846875
transcript.pyannote[431].end 3724.46159375
transcript.pyannote[432].speaker SPEAKER_23
transcript.pyannote[432].start 3723.87096875
transcript.pyannote[432].end 3726.87471875
transcript.pyannote[433].speaker SPEAKER_33
transcript.pyannote[433].start 3724.46159375
transcript.pyannote[433].end 3724.47846875
transcript.pyannote[434].speaker SPEAKER_23
transcript.pyannote[434].start 3727.36409375
transcript.pyannote[434].end 3730.06409375
transcript.pyannote[435].speaker SPEAKER_33
transcript.pyannote[435].start 3730.33409375
transcript.pyannote[435].end 3730.63784375
transcript.pyannote[436].speaker SPEAKER_23
transcript.pyannote[436].start 3730.72221875
transcript.pyannote[436].end 3733.05096875
transcript.pyannote[437].speaker SPEAKER_33
transcript.pyannote[437].start 3733.40534375
transcript.pyannote[437].end 3733.59096875
transcript.pyannote[438].speaker SPEAKER_23
transcript.pyannote[438].start 3733.59096875
transcript.pyannote[438].end 3734.50221875
transcript.pyannote[439].speaker SPEAKER_23
transcript.pyannote[439].start 3735.39659375
transcript.pyannote[439].end 3738.43409375
transcript.pyannote[440].speaker SPEAKER_23
transcript.pyannote[440].start 3738.85596875
transcript.pyannote[440].end 3739.51409375
transcript.pyannote[441].speaker SPEAKER_23
transcript.pyannote[441].start 3739.88534375
transcript.pyannote[441].end 3743.73284375
transcript.pyannote[442].speaker SPEAKER_23
transcript.pyannote[442].start 3744.67784375
transcript.pyannote[442].end 3746.01096875
transcript.pyannote[443].speaker SPEAKER_23
transcript.pyannote[443].start 3746.90534375
transcript.pyannote[443].end 3747.34409375
transcript.pyannote[444].speaker SPEAKER_23
transcript.pyannote[444].start 3747.79971875
transcript.pyannote[444].end 3754.07721875
transcript.pyannote[445].speaker SPEAKER_23
transcript.pyannote[445].start 3754.71846875
transcript.pyannote[445].end 3755.61284375
transcript.pyannote[446].speaker SPEAKER_33
transcript.pyannote[446].start 3755.61284375
transcript.pyannote[446].end 3756.43971875
transcript.pyannote[447].speaker SPEAKER_23
transcript.pyannote[447].start 3756.32159375
transcript.pyannote[447].end 3757.80659375
transcript.pyannote[448].speaker SPEAKER_23
transcript.pyannote[448].start 3758.19471875
transcript.pyannote[448].end 3762.02534375
transcript.pyannote[449].speaker SPEAKER_23
transcript.pyannote[449].start 3762.53159375
transcript.pyannote[449].end 3765.51846875
transcript.pyannote[450].speaker SPEAKER_23
transcript.pyannote[450].start 3766.17659375
transcript.pyannote[450].end 3767.35784375
transcript.pyannote[451].speaker SPEAKER_33
transcript.pyannote[451].start 3767.66159375
transcript.pyannote[451].end 3768.06659375
transcript.pyannote[452].speaker SPEAKER_23
transcript.pyannote[452].start 3768.64034375
transcript.pyannote[452].end 3774.68159375
transcript.pyannote[453].speaker SPEAKER_23
transcript.pyannote[453].start 3776.03159375
transcript.pyannote[453].end 3779.37284375
transcript.pyannote[454].speaker SPEAKER_23
transcript.pyannote[454].start 3779.57534375
transcript.pyannote[454].end 3784.08096875
transcript.pyannote[455].speaker SPEAKER_33
transcript.pyannote[455].start 3783.77721875
transcript.pyannote[455].end 3784.82346875
transcript.pyannote[456].speaker SPEAKER_23
transcript.pyannote[456].start 3784.72221875
transcript.pyannote[456].end 3797.90159375
transcript.pyannote[457].speaker SPEAKER_33
transcript.pyannote[457].start 3788.95784375
transcript.pyannote[457].end 3790.13909375
transcript.pyannote[458].speaker SPEAKER_37
transcript.pyannote[458].start 3790.13909375
transcript.pyannote[458].end 3790.18971875
transcript.pyannote[459].speaker SPEAKER_33
transcript.pyannote[459].start 3790.52721875
transcript.pyannote[459].end 3791.03346875
transcript.pyannote[460].speaker SPEAKER_33
transcript.pyannote[460].start 3793.37909375
transcript.pyannote[460].end 3793.96971875
transcript.pyannote[461].speaker SPEAKER_37
transcript.pyannote[461].start 3793.96971875
transcript.pyannote[461].end 3794.05409375
transcript.pyannote[462].speaker SPEAKER_33
transcript.pyannote[462].start 3794.05409375
transcript.pyannote[462].end 3794.10471875
transcript.pyannote[463].speaker SPEAKER_33
transcript.pyannote[463].start 3794.45909375
transcript.pyannote[463].end 3794.67846875
transcript.pyannote[464].speaker SPEAKER_37
transcript.pyannote[464].start 3794.67846875
transcript.pyannote[464].end 3794.96534375
transcript.pyannote[465].speaker SPEAKER_33
transcript.pyannote[465].start 3794.96534375
transcript.pyannote[465].end 3795.26909375
transcript.pyannote[466].speaker SPEAKER_23
transcript.pyannote[466].start 3798.82971875
transcript.pyannote[466].end 3802.17096875
transcript.pyannote[467].speaker SPEAKER_23
transcript.pyannote[467].start 3802.40721875
transcript.pyannote[467].end 3803.38596875
transcript.pyannote[468].speaker SPEAKER_23
transcript.pyannote[468].start 3804.95534375
transcript.pyannote[468].end 3805.47846875
transcript.pyannote[469].speaker SPEAKER_23
transcript.pyannote[469].start 3806.64284375
transcript.pyannote[469].end 3807.75659375
transcript.pyannote[470].speaker SPEAKER_36
transcript.pyannote[470].start 3808.26284375
transcript.pyannote[470].end 3810.00096875
transcript.pyannote[471].speaker SPEAKER_23
transcript.pyannote[471].start 3809.07284375
transcript.pyannote[471].end 3809.68034375
transcript.pyannote[472].speaker SPEAKER_23
transcript.pyannote[472].start 3810.00096875
transcript.pyannote[472].end 3817.84784375
transcript.pyannote[473].speaker SPEAKER_36
transcript.pyannote[473].start 3811.84034375
transcript.pyannote[473].end 3811.90784375
transcript.pyannote[474].speaker SPEAKER_36
transcript.pyannote[474].start 3811.92471875
transcript.pyannote[474].end 3812.00909375
transcript.pyannote[475].speaker SPEAKER_36
transcript.pyannote[475].start 3812.58284375
transcript.pyannote[475].end 3812.70096875
transcript.pyannote[476].speaker SPEAKER_36
transcript.pyannote[476].start 3814.16909375
transcript.pyannote[476].end 3814.54034375
transcript.pyannote[477].speaker SPEAKER_36
transcript.pyannote[477].start 3815.29971875
transcript.pyannote[477].end 3815.60346875
transcript.pyannote[478].speaker SPEAKER_36
transcript.pyannote[478].start 3817.52721875
transcript.pyannote[478].end 3817.83096875
transcript.pyannote[479].speaker SPEAKER_36
transcript.pyannote[479].start 3817.84784375
transcript.pyannote[479].end 3821.93159375
transcript.pyannote[480].speaker SPEAKER_23
transcript.pyannote[480].start 3822.11721875
transcript.pyannote[480].end 3835.92096875
transcript.pyannote[481].speaker SPEAKER_36
transcript.pyannote[481].start 3835.92096875
transcript.pyannote[481].end 3836.35971875
transcript.pyannote[482].speaker SPEAKER_23
transcript.pyannote[482].start 3836.35971875
transcript.pyannote[482].end 3838.13159375
transcript.pyannote[483].speaker SPEAKER_36
transcript.pyannote[483].start 3836.39346875
transcript.pyannote[483].end 3837.25409375
transcript.pyannote[484].speaker SPEAKER_36
transcript.pyannote[484].start 3837.89534375
transcript.pyannote[484].end 3838.26659375
transcript.pyannote[485].speaker SPEAKER_23
transcript.pyannote[485].start 3838.24971875
transcript.pyannote[485].end 3846.63659375
transcript.pyannote[486].speaker SPEAKER_23
transcript.pyannote[486].start 3847.34534375
transcript.pyannote[486].end 3849.47159375
transcript.pyannote[487].speaker SPEAKER_33
transcript.pyannote[487].start 3849.92721875
transcript.pyannote[487].end 3850.26471875
transcript.pyannote[488].speaker SPEAKER_23
transcript.pyannote[488].start 3850.26471875
transcript.pyannote[488].end 3852.74534375
transcript.pyannote[489].speaker SPEAKER_33
transcript.pyannote[489].start 3851.96909375
transcript.pyannote[489].end 3852.71159375
transcript.pyannote[490].speaker SPEAKER_33
transcript.pyannote[490].start 3852.74534375
transcript.pyannote[490].end 3852.76221875
transcript.pyannote[491].speaker SPEAKER_11
transcript.pyannote[491].start 3858.46596875
transcript.pyannote[491].end 3861.82409375
transcript.pyannote[492].speaker SPEAKER_24
transcript.pyannote[492].start 3890.51159375
transcript.pyannote[492].end 3892.51971875
transcript.pyannote[493].speaker SPEAKER_24
transcript.pyannote[493].start 3893.17784375
transcript.pyannote[493].end 3893.71784375
transcript.pyannote[494].speaker SPEAKER_24
transcript.pyannote[494].start 3902.96534375
transcript.pyannote[494].end 3903.62346875
transcript.pyannote[495].speaker SPEAKER_24
transcript.pyannote[495].start 3904.12971875
transcript.pyannote[495].end 3904.51784375
transcript.pyannote[496].speaker SPEAKER_24
transcript.pyannote[496].start 3904.93971875
transcript.pyannote[496].end 3907.45409375
transcript.pyannote[497].speaker SPEAKER_24
transcript.pyannote[497].start 3907.87596875
transcript.pyannote[497].end 3909.81659375
transcript.pyannote[498].speaker SPEAKER_24
transcript.pyannote[498].start 3910.32284375
transcript.pyannote[498].end 3916.31346875
transcript.pyannote[499].speaker SPEAKER_24
transcript.pyannote[499].start 3917.19096875
transcript.pyannote[499].end 3925.76346875
transcript.pyannote[500].speaker SPEAKER_24
transcript.pyannote[500].start 3926.38784375
transcript.pyannote[500].end 3929.72909375
transcript.pyannote[501].speaker SPEAKER_24
transcript.pyannote[501].start 3930.60659375
transcript.pyannote[501].end 3937.98096875
transcript.pyannote[502].speaker SPEAKER_24
transcript.pyannote[502].start 3938.36909375
transcript.pyannote[502].end 3939.22971875
transcript.pyannote[503].speaker SPEAKER_24
transcript.pyannote[503].start 3940.46159375
transcript.pyannote[503].end 3943.31346875
transcript.pyannote[504].speaker SPEAKER_24
transcript.pyannote[504].start 3944.20784375
transcript.pyannote[504].end 3944.68034375
transcript.pyannote[505].speaker SPEAKER_24
transcript.pyannote[505].start 3945.92909375
transcript.pyannote[505].end 3946.80659375
transcript.pyannote[506].speaker SPEAKER_24
transcript.pyannote[506].start 3947.48159375
transcript.pyannote[506].end 3950.28284375
transcript.pyannote[507].speaker SPEAKER_24
transcript.pyannote[507].start 3951.14346875
transcript.pyannote[507].end 3954.24846875
transcript.pyannote[508].speaker SPEAKER_24
transcript.pyannote[508].start 3954.56909375
transcript.pyannote[508].end 3955.05846875
transcript.pyannote[509].speaker SPEAKER_24
transcript.pyannote[509].start 3955.53096875
transcript.pyannote[509].end 3956.54346875
transcript.pyannote[510].speaker SPEAKER_36
transcript.pyannote[510].start 3958.60221875
transcript.pyannote[510].end 3966.22971875
transcript.pyannote[511].speaker SPEAKER_24
transcript.pyannote[511].start 3966.22971875
transcript.pyannote[511].end 3966.24659375
transcript.pyannote[512].speaker SPEAKER_36
transcript.pyannote[512].start 3966.24659375
transcript.pyannote[512].end 3967.83284375
transcript.pyannote[513].speaker SPEAKER_24
transcript.pyannote[513].start 3966.26346875
transcript.pyannote[513].end 3966.73596875
transcript.pyannote[514].speaker SPEAKER_24
transcript.pyannote[514].start 3967.83284375
transcript.pyannote[514].end 3968.47409375
transcript.pyannote[515].speaker SPEAKER_24
transcript.pyannote[515].start 3969.04784375
transcript.pyannote[515].end 3974.97096875
transcript.pyannote[516].speaker SPEAKER_36
transcript.pyannote[516].start 3974.68409375
transcript.pyannote[516].end 3982.19346875
transcript.pyannote[517].speaker SPEAKER_24
transcript.pyannote[517].start 3980.67471875
transcript.pyannote[517].end 3985.75409375
transcript.pyannote[518].speaker SPEAKER_36
transcript.pyannote[518].start 3982.71659375
transcript.pyannote[518].end 3982.73346875
transcript.pyannote[519].speaker SPEAKER_36
transcript.pyannote[519].start 3982.75034375
transcript.pyannote[519].end 3982.93596875
transcript.pyannote[520].speaker SPEAKER_36
transcript.pyannote[520].start 3983.69534375
transcript.pyannote[520].end 3984.64034375
transcript.pyannote[521].speaker SPEAKER_24
transcript.pyannote[521].start 3985.82159375
transcript.pyannote[521].end 3990.49596875
transcript.pyannote[522].speaker SPEAKER_24
transcript.pyannote[522].start 3991.20471875
transcript.pyannote[522].end 3992.89221875
transcript.pyannote[523].speaker SPEAKER_24
transcript.pyannote[523].start 3993.26346875
transcript.pyannote[523].end 3995.44034375
transcript.pyannote[524].speaker SPEAKER_24
transcript.pyannote[524].start 3996.35159375
transcript.pyannote[524].end 4000.50284375
transcript.pyannote[525].speaker SPEAKER_36
transcript.pyannote[525].start 3999.23721875
transcript.pyannote[525].end 4000.04721875
transcript.pyannote[526].speaker SPEAKER_36
transcript.pyannote[526].start 4000.50284375
transcript.pyannote[526].end 4010.03721875
transcript.pyannote[527].speaker SPEAKER_24
transcript.pyannote[527].start 4008.58596875
transcript.pyannote[527].end 4011.60659375
transcript.pyannote[528].speaker SPEAKER_33
transcript.pyannote[528].start 4012.43346875
transcript.pyannote[528].end 4012.63596875
transcript.pyannote[529].speaker SPEAKER_24
transcript.pyannote[529].start 4012.63596875
transcript.pyannote[529].end 4013.27721875
transcript.pyannote[530].speaker SPEAKER_24
transcript.pyannote[530].start 4013.76659375
transcript.pyannote[530].end 4015.43721875
transcript.pyannote[531].speaker SPEAKER_24
transcript.pyannote[531].start 4016.43284375
transcript.pyannote[531].end 4019.40284375
transcript.pyannote[532].speaker SPEAKER_24
transcript.pyannote[532].start 4019.74034375
transcript.pyannote[532].end 4026.18659375
transcript.pyannote[533].speaker SPEAKER_36
transcript.pyannote[533].start 4025.73096875
transcript.pyannote[533].end 4028.22846875
transcript.pyannote[534].speaker SPEAKER_24
transcript.pyannote[534].start 4026.33846875
transcript.pyannote[534].end 4027.70534375
transcript.pyannote[535].speaker SPEAKER_24
transcript.pyannote[535].start 4028.22846875
transcript.pyannote[535].end 4031.01284375
transcript.pyannote[536].speaker SPEAKER_24
transcript.pyannote[536].start 4031.23221875
transcript.pyannote[536].end 4042.20096875
transcript.pyannote[537].speaker SPEAKER_36
transcript.pyannote[537].start 4031.73846875
transcript.pyannote[537].end 4032.48096875
transcript.pyannote[538].speaker SPEAKER_36
transcript.pyannote[538].start 4033.10534375
transcript.pyannote[538].end 4034.77596875
transcript.pyannote[539].speaker SPEAKER_33
transcript.pyannote[539].start 4036.42971875
transcript.pyannote[539].end 4036.78409375
transcript.pyannote[540].speaker SPEAKER_36
transcript.pyannote[540].start 4036.78409375
transcript.pyannote[540].end 4036.80096875
transcript.pyannote[541].speaker SPEAKER_33
transcript.pyannote[541].start 4038.52221875
transcript.pyannote[541].end 4038.64034375
transcript.pyannote[542].speaker SPEAKER_39
transcript.pyannote[542].start 4038.64034375
transcript.pyannote[542].end 4039.66971875
transcript.pyannote[543].speaker SPEAKER_33
transcript.pyannote[543].start 4039.66971875
transcript.pyannote[543].end 4040.10846875
transcript.pyannote[544].speaker SPEAKER_24
transcript.pyannote[544].start 4043.12909375
transcript.pyannote[544].end 4044.76596875
transcript.pyannote[545].speaker SPEAKER_24
transcript.pyannote[545].start 4045.15409375
transcript.pyannote[545].end 4046.03159375
transcript.pyannote[546].speaker SPEAKER_24
transcript.pyannote[546].start 4047.36471875
transcript.pyannote[546].end 4050.13221875
transcript.pyannote[547].speaker SPEAKER_24
transcript.pyannote[547].start 4050.79034375
transcript.pyannote[547].end 4054.57034375
transcript.pyannote[548].speaker SPEAKER_24
transcript.pyannote[548].start 4055.34659375
transcript.pyannote[548].end 4062.83909375
transcript.pyannote[549].speaker SPEAKER_24
transcript.pyannote[549].start 4063.59846875
transcript.pyannote[549].end 4064.02034375
transcript.pyannote[550].speaker SPEAKER_24
transcript.pyannote[550].start 4065.96096875
transcript.pyannote[550].end 4066.88909375
transcript.pyannote[551].speaker SPEAKER_24
transcript.pyannote[551].start 4067.14221875
transcript.pyannote[551].end 4068.82971875
transcript.pyannote[552].speaker SPEAKER_24
transcript.pyannote[552].start 4069.04909375
transcript.pyannote[552].end 4071.85034375
transcript.pyannote[553].speaker SPEAKER_36
transcript.pyannote[553].start 4073.35221875
transcript.pyannote[553].end 4079.03909375
transcript.pyannote[554].speaker SPEAKER_24
transcript.pyannote[554].start 4078.38096875
transcript.pyannote[554].end 4078.76909375
transcript.pyannote[555].speaker SPEAKER_24
transcript.pyannote[555].start 4079.03909375
transcript.pyannote[555].end 4086.88596875
transcript.pyannote[556].speaker SPEAKER_24
transcript.pyannote[556].start 4087.20659375
transcript.pyannote[556].end 4088.94471875
transcript.pyannote[557].speaker SPEAKER_24
transcript.pyannote[557].start 4089.38346875
transcript.pyannote[557].end 4090.51409375
transcript.pyannote[558].speaker SPEAKER_24
transcript.pyannote[558].start 4091.15534375
transcript.pyannote[558].end 4095.99846875
transcript.pyannote[559].speaker SPEAKER_14
transcript.pyannote[559].start 4096.20096875
transcript.pyannote[559].end 4103.03534375
transcript.pyannote[560].speaker SPEAKER_24
transcript.pyannote[560].start 4100.08221875
transcript.pyannote[560].end 4104.70596875
transcript.pyannote[561].speaker SPEAKER_14
transcript.pyannote[561].start 4105.09409375
transcript.pyannote[561].end 4109.49846875
transcript.pyannote[562].speaker SPEAKER_24
transcript.pyannote[562].start 4108.51971875
transcript.pyannote[562].end 4117.66596875
transcript.pyannote[563].speaker SPEAKER_14
transcript.pyannote[563].start 4112.13096875
transcript.pyannote[563].end 4112.16471875
transcript.pyannote[564].speaker SPEAKER_36
transcript.pyannote[564].start 4112.16471875
transcript.pyannote[564].end 4112.18159375
transcript.pyannote[565].speaker SPEAKER_14
transcript.pyannote[565].start 4112.18159375
transcript.pyannote[565].end 4112.80596875
transcript.pyannote[566].speaker SPEAKER_14
transcript.pyannote[566].start 4112.95784375
transcript.pyannote[566].end 4114.18971875
transcript.pyannote[567].speaker SPEAKER_14
transcript.pyannote[567].start 4117.66596875
transcript.pyannote[567].end 4118.61096875
transcript.pyannote[568].speaker SPEAKER_24
transcript.pyannote[568].start 4118.61096875
transcript.pyannote[568].end 4121.14221875
transcript.pyannote[569].speaker SPEAKER_14
transcript.pyannote[569].start 4118.89784375
transcript.pyannote[569].end 4120.24784375
transcript.pyannote[570].speaker SPEAKER_24
transcript.pyannote[570].start 4121.74971875
transcript.pyannote[570].end 4123.77471875
transcript.pyannote[571].speaker SPEAKER_24
transcript.pyannote[571].start 4123.99409375
transcript.pyannote[571].end 4125.27659375
transcript.pyannote[572].speaker SPEAKER_24
transcript.pyannote[572].start 4125.49596875
transcript.pyannote[572].end 4127.85846875
transcript.pyannote[573].speaker SPEAKER_36
transcript.pyannote[573].start 4127.75721875
transcript.pyannote[573].end 4127.77409375
transcript.pyannote[574].speaker SPEAKER_33
transcript.pyannote[574].start 4127.77409375
transcript.pyannote[574].end 4128.34784375
transcript.pyannote[575].speaker SPEAKER_24
transcript.pyannote[575].start 4127.95971875
transcript.pyannote[575].end 4129.96784375
transcript.pyannote[576].speaker SPEAKER_36
transcript.pyannote[576].start 4128.34784375
transcript.pyannote[576].end 4128.38159375
transcript.pyannote[577].speaker SPEAKER_36
transcript.pyannote[577].start 4129.96784375
transcript.pyannote[577].end 4141.20659375
transcript.pyannote[578].speaker SPEAKER_24
transcript.pyannote[578].start 4141.20659375
transcript.pyannote[578].end 4142.45534375
transcript.pyannote[579].speaker SPEAKER_24
transcript.pyannote[579].start 4142.50596875
transcript.pyannote[579].end 4146.20159375
transcript.pyannote[580].speaker SPEAKER_24
transcript.pyannote[580].start 4147.43346875
transcript.pyannote[580].end 4148.54721875
transcript.pyannote[581].speaker SPEAKER_36
transcript.pyannote[581].start 4150.38659375
transcript.pyannote[581].end 4151.11221875
transcript.pyannote[582].speaker SPEAKER_24
transcript.pyannote[582].start 4151.11221875
transcript.pyannote[582].end 4151.83784375
transcript.pyannote[583].speaker SPEAKER_24
transcript.pyannote[583].start 4153.12034375
transcript.pyannote[583].end 4157.40659375
transcript.pyannote[584].speaker SPEAKER_24
transcript.pyannote[584].start 4157.54159375
transcript.pyannote[584].end 4158.95909375
transcript.pyannote[585].speaker SPEAKER_24
transcript.pyannote[585].start 4159.88721875
transcript.pyannote[585].end 4164.12284375
transcript.pyannote[586].speaker SPEAKER_24
transcript.pyannote[586].start 4164.76409375
transcript.pyannote[586].end 4166.73846875
transcript.pyannote[587].speaker SPEAKER_24
transcript.pyannote[587].start 4166.95784375
transcript.pyannote[587].end 4172.72909375
transcript.pyannote[588].speaker SPEAKER_36
transcript.pyannote[588].start 4172.13846875
transcript.pyannote[588].end 4172.56034375
transcript.pyannote[589].speaker SPEAKER_24
transcript.pyannote[589].start 4173.16784375
transcript.pyannote[589].end 4174.14659375
transcript.pyannote[590].speaker SPEAKER_24
transcript.pyannote[590].start 4174.28159375
transcript.pyannote[590].end 4176.13784375
transcript.pyannote[591].speaker SPEAKER_24
transcript.pyannote[591].start 4176.17159375
transcript.pyannote[591].end 4180.47471875
transcript.pyannote[592].speaker SPEAKER_24
transcript.pyannote[592].start 4181.31846875
transcript.pyannote[592].end 4192.15221875
transcript.pyannote[593].speaker SPEAKER_36
transcript.pyannote[593].start 4184.89596875
transcript.pyannote[593].end 4184.91284375
transcript.pyannote[594].speaker SPEAKER_39
transcript.pyannote[594].start 4184.91284375
transcript.pyannote[594].end 4185.03096875
transcript.pyannote[595].speaker SPEAKER_36
transcript.pyannote[595].start 4185.03096875
transcript.pyannote[595].end 4188.11909375
transcript.pyannote[596].speaker SPEAKER_36
transcript.pyannote[596].start 4188.86159375
transcript.pyannote[596].end 4189.84034375
transcript.pyannote[597].speaker SPEAKER_24
transcript.pyannote[597].start 4192.69221875
transcript.pyannote[597].end 4194.90284375
transcript.pyannote[598].speaker SPEAKER_24
transcript.pyannote[598].start 4194.91971875
transcript.pyannote[598].end 4206.66471875
transcript.pyannote[599].speaker SPEAKER_33
transcript.pyannote[599].start 4197.73784375
transcript.pyannote[599].end 4197.78846875
transcript.pyannote[600].speaker SPEAKER_36
transcript.pyannote[600].start 4197.78846875
transcript.pyannote[600].end 4200.89346875
transcript.pyannote[601].speaker SPEAKER_24
transcript.pyannote[601].start 4208.09909375
transcript.pyannote[601].end 4208.52096875
transcript.pyannote[602].speaker SPEAKER_24
transcript.pyannote[602].start 4209.06096875
transcript.pyannote[602].end 4209.80346875
transcript.pyannote[603].speaker SPEAKER_24
transcript.pyannote[603].start 4210.14096875
transcript.pyannote[603].end 4211.27159375
transcript.pyannote[604].speaker SPEAKER_24
transcript.pyannote[604].start 4211.67659375
transcript.pyannote[604].end 4213.06034375
transcript.pyannote[605].speaker SPEAKER_24
transcript.pyannote[605].start 4213.68471875
transcript.pyannote[605].end 4215.00096875
transcript.pyannote[606].speaker SPEAKER_24
transcript.pyannote[606].start 4217.07659375
transcript.pyannote[606].end 4217.70096875
transcript.pyannote[607].speaker SPEAKER_24
transcript.pyannote[607].start 4219.43909375
transcript.pyannote[607].end 4220.14784375
transcript.pyannote[608].speaker SPEAKER_24
transcript.pyannote[608].start 4220.43471875
transcript.pyannote[608].end 4223.92784375
transcript.pyannote[609].speaker SPEAKER_24
transcript.pyannote[609].start 4224.18096875
transcript.pyannote[609].end 4225.58159375
transcript.pyannote[610].speaker SPEAKER_24
transcript.pyannote[610].start 4226.10471875
transcript.pyannote[610].end 4229.49659375
transcript.pyannote[611].speaker SPEAKER_24
transcript.pyannote[611].start 4231.16721875
transcript.pyannote[611].end 4231.89284375
transcript.pyannote[612].speaker SPEAKER_24
transcript.pyannote[612].start 4233.46221875
transcript.pyannote[612].end 4235.48721875
transcript.pyannote[613].speaker SPEAKER_24
transcript.pyannote[613].start 4236.87096875
transcript.pyannote[613].end 4239.03096875
transcript.pyannote[614].speaker SPEAKER_14
transcript.pyannote[614].start 4239.97596875
transcript.pyannote[614].end 4251.90659375
transcript.pyannote[615].speaker SPEAKER_24
transcript.pyannote[615].start 4251.33284375
transcript.pyannote[615].end 4257.40784375
transcript.pyannote[616].speaker SPEAKER_14
transcript.pyannote[616].start 4252.26096875
transcript.pyannote[616].end 4252.53096875
transcript.pyannote[617].speaker SPEAKER_14
transcript.pyannote[617].start 4258.15034375
transcript.pyannote[617].end 4258.16721875
transcript.pyannote[618].speaker SPEAKER_39
transcript.pyannote[618].start 4258.16721875
transcript.pyannote[618].end 4258.18409375
transcript.pyannote[619].speaker SPEAKER_14
transcript.pyannote[619].start 4258.18409375
transcript.pyannote[619].end 4258.28534375
transcript.pyannote[620].speaker SPEAKER_24
transcript.pyannote[620].start 4258.42034375
transcript.pyannote[620].end 4261.66034375
transcript.pyannote[621].speaker SPEAKER_24
transcript.pyannote[621].start 4261.82909375
transcript.pyannote[621].end 4262.87534375
transcript.pyannote[622].speaker SPEAKER_24
transcript.pyannote[622].start 4264.71471875
transcript.pyannote[622].end 4265.17034375
transcript.pyannote[623].speaker SPEAKER_14
transcript.pyannote[623].start 4265.59221875
transcript.pyannote[623].end 4273.86096875
transcript.pyannote[624].speaker SPEAKER_24
transcript.pyannote[624].start 4273.57409375
transcript.pyannote[624].end 4281.16784375
transcript.pyannote[625].speaker SPEAKER_14
transcript.pyannote[625].start 4276.05471875
transcript.pyannote[625].end 4276.86471875
transcript.pyannote[626].speaker SPEAKER_24
transcript.pyannote[626].start 4281.42096875
transcript.pyannote[626].end 4284.07034375
transcript.pyannote[627].speaker SPEAKER_24
transcript.pyannote[627].start 4284.55971875
transcript.pyannote[627].end 4286.06159375
transcript.pyannote[628].speaker SPEAKER_14
transcript.pyannote[628].start 4286.06159375
transcript.pyannote[628].end 4287.00659375
transcript.pyannote[629].speaker SPEAKER_24
transcript.pyannote[629].start 4286.56784375
transcript.pyannote[629].end 4290.97221875
transcript.pyannote[630].speaker SPEAKER_14
transcript.pyannote[630].start 4290.11159375
transcript.pyannote[630].end 4290.93846875
transcript.pyannote[631].speaker SPEAKER_14
transcript.pyannote[631].start 4290.97221875
transcript.pyannote[631].end 4300.77659375
transcript.pyannote[632].speaker SPEAKER_24
transcript.pyannote[632].start 4291.84971875
transcript.pyannote[632].end 4292.37284375
transcript.pyannote[633].speaker SPEAKER_24
transcript.pyannote[633].start 4298.29596875
transcript.pyannote[633].end 4299.74721875
transcript.pyannote[634].speaker SPEAKER_24
transcript.pyannote[634].start 4300.67534375
transcript.pyannote[634].end 4303.83096875
transcript.pyannote[635].speaker SPEAKER_14
transcript.pyannote[635].start 4300.79346875
transcript.pyannote[635].end 4300.81034375
transcript.pyannote[636].speaker SPEAKER_24
transcript.pyannote[636].start 4304.10096875
transcript.pyannote[636].end 4305.70409375
transcript.pyannote[637].speaker SPEAKER_24
transcript.pyannote[637].start 4307.08784375
transcript.pyannote[637].end 4307.56034375
transcript.pyannote[638].speaker SPEAKER_24
transcript.pyannote[638].start 4310.53034375
transcript.pyannote[638].end 4322.24159375
transcript.pyannote[639].speaker SPEAKER_36
transcript.pyannote[639].start 4310.58096875
transcript.pyannote[639].end 4310.76659375
transcript.pyannote[640].speaker SPEAKER_36
transcript.pyannote[640].start 4313.85471875
transcript.pyannote[640].end 4314.15846875
transcript.pyannote[641].speaker SPEAKER_36
transcript.pyannote[641].start 4315.45784375
transcript.pyannote[641].end 4315.55909375
transcript.pyannote[642].speaker SPEAKER_14
transcript.pyannote[642].start 4315.55909375
transcript.pyannote[642].end 4315.87971875
transcript.pyannote[643].speaker SPEAKER_36
transcript.pyannote[643].start 4315.87971875
transcript.pyannote[643].end 4315.89659375
transcript.pyannote[644].speaker SPEAKER_14
transcript.pyannote[644].start 4322.52846875
transcript.pyannote[644].end 4333.75034375
transcript.pyannote[645].speaker SPEAKER_24
transcript.pyannote[645].start 4326.64596875
transcript.pyannote[645].end 4327.40534375
transcript.pyannote[646].speaker SPEAKER_14
transcript.pyannote[646].start 4334.67846875
transcript.pyannote[646].end 4334.72909375
transcript.pyannote[647].speaker SPEAKER_24
transcript.pyannote[647].start 4335.08346875
transcript.pyannote[647].end 4338.08721875
transcript.pyannote[648].speaker SPEAKER_14
transcript.pyannote[648].start 4335.60659375
transcript.pyannote[648].end 4336.46721875
transcript.pyannote[649].speaker SPEAKER_24
transcript.pyannote[649].start 4338.12096875
transcript.pyannote[649].end 4340.95596875
transcript.pyannote[650].speaker SPEAKER_14
transcript.pyannote[650].start 4338.96471875
transcript.pyannote[650].end 4343.33534375
transcript.pyannote[651].speaker SPEAKER_14
transcript.pyannote[651].start 4343.74034375
transcript.pyannote[651].end 4360.14284375
transcript.pyannote[652].speaker SPEAKER_24
transcript.pyannote[652].start 4357.67909375
transcript.pyannote[652].end 4363.51784375
transcript.pyannote[653].speaker SPEAKER_14
transcript.pyannote[653].start 4361.15534375
transcript.pyannote[653].end 4361.18909375
transcript.pyannote[654].speaker SPEAKER_14
transcript.pyannote[654].start 4364.09159375
transcript.pyannote[654].end 4367.98971875
transcript.pyannote[655].speaker SPEAKER_24
transcript.pyannote[655].start 4365.03659375
transcript.pyannote[655].end 4367.55096875
transcript.pyannote[656].speaker SPEAKER_24
transcript.pyannote[656].start 4367.92221875
transcript.pyannote[656].end 4386.14721875
transcript.pyannote[657].speaker SPEAKER_33
transcript.pyannote[657].start 4371.82034375
transcript.pyannote[657].end 4371.97221875
transcript.pyannote[658].speaker SPEAKER_36
transcript.pyannote[658].start 4371.97221875
transcript.pyannote[658].end 4372.05659375
transcript.pyannote[659].speaker SPEAKER_36
transcript.pyannote[659].start 4373.40659375
transcript.pyannote[659].end 4373.47409375
transcript.pyannote[660].speaker SPEAKER_33
transcript.pyannote[660].start 4373.47409375
transcript.pyannote[660].end 4373.77784375
transcript.pyannote[661].speaker SPEAKER_14
transcript.pyannote[661].start 4373.77784375
transcript.pyannote[661].end 4374.03096875
transcript.pyannote[662].speaker SPEAKER_36
transcript.pyannote[662].start 4374.03096875
transcript.pyannote[662].end 4374.41909375
transcript.pyannote[663].speaker SPEAKER_33
transcript.pyannote[663].start 4374.41909375
transcript.pyannote[663].end 4374.95909375
transcript.pyannote[664].speaker SPEAKER_36
transcript.pyannote[664].start 4374.95909375
transcript.pyannote[664].end 4375.38096875
transcript.pyannote[665].speaker SPEAKER_36
transcript.pyannote[665].start 4375.46534375
transcript.pyannote[665].end 4375.90409375
transcript.pyannote[666].speaker SPEAKER_36
transcript.pyannote[666].start 4381.81034375
transcript.pyannote[666].end 4381.92846875
transcript.pyannote[667].speaker SPEAKER_33
transcript.pyannote[667].start 4381.92846875
transcript.pyannote[667].end 4382.97471875
transcript.pyannote[668].speaker SPEAKER_36
transcript.pyannote[668].start 4382.97471875
transcript.pyannote[668].end 4383.36284375
transcript.pyannote[669].speaker SPEAKER_33
transcript.pyannote[669].start 4383.36284375
transcript.pyannote[669].end 4383.61596875
transcript.pyannote[670].speaker SPEAKER_24
transcript.pyannote[670].start 4386.40034375
transcript.pyannote[670].end 4387.58159375
transcript.pyannote[671].speaker SPEAKER_24
transcript.pyannote[671].start 4388.93159375
transcript.pyannote[671].end 4389.97784375
transcript.pyannote[672].speaker SPEAKER_24
transcript.pyannote[672].start 4391.05784375
transcript.pyannote[672].end 4393.60596875
transcript.pyannote[673].speaker SPEAKER_24
transcript.pyannote[673].start 4395.52971875
transcript.pyannote[673].end 4398.73596875
transcript.pyannote[674].speaker SPEAKER_24
transcript.pyannote[674].start 4398.90471875
transcript.pyannote[674].end 4401.16596875
transcript.pyannote[675].speaker SPEAKER_33
transcript.pyannote[675].start 4401.55409375
transcript.pyannote[675].end 4401.90846875
transcript.pyannote[676].speaker SPEAKER_24
transcript.pyannote[676].start 4401.87471875
transcript.pyannote[676].end 4403.14034375
transcript.pyannote[677].speaker SPEAKER_24
transcript.pyannote[677].start 4403.61284375
transcript.pyannote[677].end 4405.24971875
transcript.pyannote[678].speaker SPEAKER_24
transcript.pyannote[678].start 4405.50284375
transcript.pyannote[678].end 4407.15659375
transcript.pyannote[679].speaker SPEAKER_24
transcript.pyannote[679].start 4407.34221875
transcript.pyannote[679].end 4412.75909375
transcript.pyannote[680].speaker SPEAKER_33
transcript.pyannote[680].start 4410.80159375
transcript.pyannote[680].end 4411.20659375
transcript.pyannote[681].speaker SPEAKER_00
transcript.pyannote[681].start 4411.20659375
transcript.pyannote[681].end 4411.57784375
transcript.pyannote[682].speaker SPEAKER_24
transcript.pyannote[682].start 4413.18096875
transcript.pyannote[682].end 4415.94846875
transcript.pyannote[683].speaker SPEAKER_24
transcript.pyannote[683].start 4416.99471875
transcript.pyannote[683].end 4419.45846875
transcript.pyannote[684].speaker SPEAKER_24
transcript.pyannote[684].start 4419.94784375
transcript.pyannote[684].end 4420.26846875
transcript.pyannote[685].speaker SPEAKER_24
transcript.pyannote[685].start 4421.95596875
transcript.pyannote[685].end 4425.51659375
transcript.pyannote[686].speaker SPEAKER_24
transcript.pyannote[686].start 4426.68096875
transcript.pyannote[686].end 4429.48221875
transcript.pyannote[687].speaker SPEAKER_24
transcript.pyannote[687].start 4429.83659375
transcript.pyannote[687].end 4431.18659375
transcript.pyannote[688].speaker SPEAKER_14
transcript.pyannote[688].start 4432.99221875
transcript.pyannote[688].end 4439.23596875
transcript.pyannote[689].speaker SPEAKER_24
transcript.pyannote[689].start 4438.20659375
transcript.pyannote[689].end 4441.61534375
transcript.pyannote[690].speaker SPEAKER_14
transcript.pyannote[690].start 4440.55221875
transcript.pyannote[690].end 4440.97409375
transcript.pyannote[691].speaker SPEAKER_14
transcript.pyannote[691].start 4441.27784375
transcript.pyannote[691].end 4441.56471875
transcript.pyannote[692].speaker SPEAKER_14
transcript.pyannote[692].start 4441.61534375
transcript.pyannote[692].end 4441.63221875
transcript.pyannote[693].speaker SPEAKER_14
transcript.pyannote[693].start 4441.81784375
transcript.pyannote[693].end 4444.50096875
transcript.pyannote[694].speaker SPEAKER_24
transcript.pyannote[694].start 4443.33659375
transcript.pyannote[694].end 4447.82534375
transcript.pyannote[695].speaker SPEAKER_24
transcript.pyannote[695].start 4448.39909375
transcript.pyannote[695].end 4448.95596875
transcript.pyannote[696].speaker SPEAKER_14
transcript.pyannote[696].start 4450.54221875
transcript.pyannote[696].end 4452.04409375
transcript.pyannote[697].speaker SPEAKER_24
transcript.pyannote[697].start 4451.13284375
transcript.pyannote[697].end 4454.10284375
transcript.pyannote[698].speaker SPEAKER_24
transcript.pyannote[698].start 4454.71034375
transcript.pyannote[698].end 4455.38534375
transcript.pyannote[699].speaker SPEAKER_24
transcript.pyannote[699].start 4455.53721875
transcript.pyannote[699].end 4458.05159375
transcript.pyannote[700].speaker SPEAKER_24
transcript.pyannote[700].start 4458.43971875
transcript.pyannote[700].end 4459.03034375
transcript.pyannote[701].speaker SPEAKER_24
transcript.pyannote[701].start 4459.33409375
transcript.pyannote[701].end 4460.49846875
transcript.pyannote[702].speaker SPEAKER_24
transcript.pyannote[702].start 4461.73034375
transcript.pyannote[702].end 4464.02534375
transcript.pyannote[703].speaker SPEAKER_24
transcript.pyannote[703].start 4464.49784375
transcript.pyannote[703].end 4468.27784375
transcript.pyannote[704].speaker SPEAKER_24
transcript.pyannote[704].start 4468.37909375
transcript.pyannote[704].end 4470.75846875
transcript.pyannote[705].speaker SPEAKER_24
transcript.pyannote[705].start 4471.16346875
transcript.pyannote[705].end 4472.88471875
transcript.pyannote[706].speaker SPEAKER_24
transcript.pyannote[706].start 4473.22221875
transcript.pyannote[706].end 4473.91409375
transcript.pyannote[707].speaker SPEAKER_24
transcript.pyannote[707].start 4474.47096875
transcript.pyannote[707].end 4475.95596875
transcript.pyannote[708].speaker SPEAKER_24
transcript.pyannote[708].start 4476.37784375
transcript.pyannote[708].end 4477.91346875
transcript.pyannote[709].speaker SPEAKER_24
transcript.pyannote[709].start 4478.99346875
transcript.pyannote[709].end 4480.68096875
transcript.pyannote[710].speaker SPEAKER_24
transcript.pyannote[710].start 4481.06909375
transcript.pyannote[710].end 4484.41034375
transcript.pyannote[711].speaker SPEAKER_14
transcript.pyannote[711].start 4484.56221875
transcript.pyannote[711].end 4484.57909375
transcript.pyannote[712].speaker SPEAKER_24
transcript.pyannote[712].start 4484.57909375
transcript.pyannote[712].end 4487.26221875
transcript.pyannote[713].speaker SPEAKER_14
transcript.pyannote[713].start 4484.61284375
transcript.pyannote[713].end 4488.57846875
transcript.pyannote[714].speaker SPEAKER_24
transcript.pyannote[714].start 4487.54909375
transcript.pyannote[714].end 4489.79346875
transcript.pyannote[715].speaker SPEAKER_14
transcript.pyannote[715].start 4490.14784375
transcript.pyannote[715].end 4494.14721875
transcript.pyannote[716].speaker SPEAKER_14
transcript.pyannote[716].start 4494.26534375
transcript.pyannote[716].end 4495.24409375
transcript.pyannote[717].speaker SPEAKER_24
transcript.pyannote[717].start 4494.34971875
transcript.pyannote[717].end 4498.60221875
transcript.pyannote[718].speaker SPEAKER_14
transcript.pyannote[718].start 4498.60221875
transcript.pyannote[718].end 4498.80471875
transcript.pyannote[719].speaker SPEAKER_24
transcript.pyannote[719].start 4498.80471875
transcript.pyannote[719].end 4502.28096875
transcript.pyannote[720].speaker SPEAKER_14
transcript.pyannote[720].start 4498.83846875
transcript.pyannote[720].end 4517.18159375
transcript.pyannote[721].speaker SPEAKER_24
transcript.pyannote[721].start 4515.81471875
transcript.pyannote[721].end 4523.20596875
transcript.pyannote[722].speaker SPEAKER_14
transcript.pyannote[722].start 4520.23596875
transcript.pyannote[722].end 4520.40471875
transcript.pyannote[723].speaker SPEAKER_14
transcript.pyannote[723].start 4521.85596875
transcript.pyannote[723].end 4522.59846875
transcript.pyannote[724].speaker SPEAKER_14
transcript.pyannote[724].start 4522.69971875
transcript.pyannote[724].end 4526.07471875
transcript.pyannote[725].speaker SPEAKER_24
transcript.pyannote[725].start 4524.48846875
transcript.pyannote[725].end 4525.97346875
transcript.pyannote[726].speaker SPEAKER_24
transcript.pyannote[726].start 4526.07471875
transcript.pyannote[726].end 4526.68221875
transcript.pyannote[727].speaker SPEAKER_14
transcript.pyannote[727].start 4526.68221875
transcript.pyannote[727].end 4526.69909375
transcript.pyannote[728].speaker SPEAKER_14
transcript.pyannote[728].start 4526.73284375
transcript.pyannote[728].end 4529.61846875
transcript.pyannote[729].speaker SPEAKER_24
transcript.pyannote[729].start 4527.72846875
transcript.pyannote[729].end 4527.84659375
transcript.pyannote[730].speaker SPEAKER_24
transcript.pyannote[730].start 4529.01096875
transcript.pyannote[730].end 4530.58034375
transcript.pyannote[731].speaker SPEAKER_24
transcript.pyannote[731].start 4530.95159375
transcript.pyannote[731].end 4536.60471875
transcript.pyannote[732].speaker SPEAKER_14
transcript.pyannote[732].start 4531.27221875
transcript.pyannote[732].end 4531.96409375
transcript.pyannote[733].speaker SPEAKER_14
transcript.pyannote[733].start 4536.25034375
transcript.pyannote[733].end 4550.22284375
transcript.pyannote[734].speaker SPEAKER_24
transcript.pyannote[734].start 4550.22284375
transcript.pyannote[734].end 4550.45909375
transcript.pyannote[735].speaker SPEAKER_24
transcript.pyannote[735].start 4550.69534375
transcript.pyannote[735].end 4553.12534375
transcript.pyannote[736].speaker SPEAKER_24
transcript.pyannote[736].start 4553.91846875
transcript.pyannote[736].end 4555.26846875
transcript.pyannote[737].speaker SPEAKER_24
transcript.pyannote[737].start 4555.85909375
transcript.pyannote[737].end 4566.47346875
transcript.pyannote[738].speaker SPEAKER_39
transcript.pyannote[738].start 4559.25096875
transcript.pyannote[738].end 4560.75284375
transcript.pyannote[739].speaker SPEAKER_24
transcript.pyannote[739].start 4567.06409375
transcript.pyannote[739].end 4570.55721875
transcript.pyannote[740].speaker SPEAKER_24
transcript.pyannote[740].start 4571.19846875
transcript.pyannote[740].end 4574.15159375
transcript.pyannote[741].speaker SPEAKER_24
transcript.pyannote[741].start 4574.21909375
transcript.pyannote[741].end 4576.04159375
transcript.pyannote[742].speaker SPEAKER_14
transcript.pyannote[742].start 4574.28659375
transcript.pyannote[742].end 4575.01221875
transcript.pyannote[743].speaker SPEAKER_14
transcript.pyannote[743].start 4575.02909375
transcript.pyannote[743].end 4575.92346875
transcript.pyannote[744].speaker SPEAKER_24
transcript.pyannote[744].start 4576.14284375
transcript.pyannote[744].end 4580.76659375
transcript.pyannote[745].speaker SPEAKER_14
transcript.pyannote[745].start 4577.03721875
transcript.pyannote[745].end 4577.93159375
transcript.pyannote[746].speaker SPEAKER_14
transcript.pyannote[746].start 4579.50096875
transcript.pyannote[746].end 4581.03659375
transcript.pyannote[747].speaker SPEAKER_14
transcript.pyannote[747].start 4581.13784375
transcript.pyannote[747].end 4591.38096875
transcript.pyannote[748].speaker SPEAKER_24
transcript.pyannote[748].start 4590.33471875
transcript.pyannote[748].end 4597.67534375
transcript.pyannote[749].speaker SPEAKER_14
transcript.pyannote[749].start 4594.75596875
transcript.pyannote[749].end 4602.29909375
transcript.pyannote[750].speaker SPEAKER_24
transcript.pyannote[750].start 4598.75534375
transcript.pyannote[750].end 4599.27846875
transcript.pyannote[751].speaker SPEAKER_24
transcript.pyannote[751].start 4601.87721875
transcript.pyannote[751].end 4608.05346875
transcript.pyannote[752].speaker SPEAKER_36
transcript.pyannote[752].start 4606.75409375
transcript.pyannote[752].end 4606.77096875
transcript.pyannote[753].speaker SPEAKER_14
transcript.pyannote[753].start 4606.77096875
transcript.pyannote[753].end 4607.95221875
transcript.pyannote[754].speaker SPEAKER_35
transcript.pyannote[754].start 4607.95221875
transcript.pyannote[754].end 4608.01971875
transcript.pyannote[755].speaker SPEAKER_35
transcript.pyannote[755].start 4608.05346875
transcript.pyannote[755].end 4608.52596875
transcript.pyannote[756].speaker SPEAKER_24
transcript.pyannote[756].start 4608.52596875
transcript.pyannote[756].end 4608.94784375
transcript.pyannote[757].speaker SPEAKER_24
transcript.pyannote[757].start 4608.96471875
transcript.pyannote[757].end 4609.87596875
transcript.pyannote[758].speaker SPEAKER_35
transcript.pyannote[758].start 4609.55534375
transcript.pyannote[758].end 4609.74096875
transcript.pyannote[759].speaker SPEAKER_35
transcript.pyannote[759].start 4609.87596875
transcript.pyannote[759].end 4610.78721875
transcript.pyannote[760].speaker SPEAKER_24
transcript.pyannote[760].start 4610.39909375
transcript.pyannote[760].end 4613.26784375
transcript.pyannote[761].speaker SPEAKER_35
transcript.pyannote[761].start 4611.95159375
transcript.pyannote[761].end 4612.10346875
transcript.pyannote[762].speaker SPEAKER_05
transcript.pyannote[762].start 4612.10346875
transcript.pyannote[762].end 4613.09909375
transcript.pyannote[763].speaker SPEAKER_35
transcript.pyannote[763].start 4613.09909375
transcript.pyannote[763].end 4613.21721875
transcript.pyannote[764].speaker SPEAKER_35
transcript.pyannote[764].start 4613.26784375
transcript.pyannote[764].end 4613.41971875
transcript.pyannote[765].speaker SPEAKER_24
transcript.pyannote[765].start 4613.41971875
transcript.pyannote[765].end 4613.99346875
transcript.pyannote[766].speaker SPEAKER_05
transcript.pyannote[766].start 4613.43659375
transcript.pyannote[766].end 4617.60471875
transcript.pyannote[767].speaker SPEAKER_24
transcript.pyannote[767].start 4614.76971875
transcript.pyannote[767].end 4616.38971875
transcript.pyannote[768].speaker SPEAKER_05
transcript.pyannote[768].start 4617.95909375
transcript.pyannote[768].end 4622.81909375
transcript.pyannote[769].speaker SPEAKER_05
transcript.pyannote[769].start 4623.25784375
transcript.pyannote[769].end 4626.64971875
transcript.pyannote[770].speaker SPEAKER_24
transcript.pyannote[770].start 4628.25284375
transcript.pyannote[770].end 4628.55659375
transcript.pyannote[771].speaker SPEAKER_24
transcript.pyannote[771].start 4629.02909375
transcript.pyannote[771].end 4630.51409375
transcript.pyannote[772].speaker SPEAKER_24
transcript.pyannote[772].start 4630.96971875
transcript.pyannote[772].end 4638.34409375
transcript.pyannote[773].speaker SPEAKER_24
transcript.pyannote[773].start 4638.93471875
transcript.pyannote[773].end 4641.71909375
transcript.pyannote[774].speaker SPEAKER_24
transcript.pyannote[774].start 4641.78659375
transcript.pyannote[774].end 4644.16596875
transcript.pyannote[775].speaker SPEAKER_24
transcript.pyannote[775].start 4644.67221875
transcript.pyannote[775].end 4647.10221875
transcript.pyannote[776].speaker SPEAKER_24
transcript.pyannote[776].start 4648.04721875
transcript.pyannote[776].end 4648.89096875
transcript.pyannote[777].speaker SPEAKER_24
transcript.pyannote[777].start 4649.38034375
transcript.pyannote[777].end 4654.94909375
transcript.pyannote[778].speaker SPEAKER_24
transcript.pyannote[778].start 4655.20221875
transcript.pyannote[778].end 4655.91096875
transcript.pyannote[779].speaker SPEAKER_24
transcript.pyannote[779].start 4657.05846875
transcript.pyannote[779].end 4659.18471875
transcript.pyannote[780].speaker SPEAKER_24
transcript.pyannote[780].start 4659.58971875
transcript.pyannote[780].end 4660.04534375
transcript.pyannote[781].speaker SPEAKER_24
transcript.pyannote[781].start 4661.76659375
transcript.pyannote[781].end 4664.19659375
transcript.pyannote[782].speaker SPEAKER_24
transcript.pyannote[782].start 4665.09096875
transcript.pyannote[782].end 4667.26784375
transcript.pyannote[783].speaker SPEAKER_24
transcript.pyannote[783].start 4668.14534375
transcript.pyannote[783].end 4668.88784375
transcript.pyannote[784].speaker SPEAKER_24
transcript.pyannote[784].start 4671.41909375
transcript.pyannote[784].end 4671.45284375
transcript.pyannote[785].speaker SPEAKER_36
transcript.pyannote[785].start 4671.45284375
transcript.pyannote[785].end 4671.73971875
transcript.pyannote[786].speaker SPEAKER_24
transcript.pyannote[786].start 4671.73971875
transcript.pyannote[786].end 4685.98221875
transcript.pyannote[787].speaker SPEAKER_36
transcript.pyannote[787].start 4671.84096875
transcript.pyannote[787].end 4672.14471875
transcript.pyannote[788].speaker SPEAKER_39
transcript.pyannote[788].start 4672.14471875
transcript.pyannote[788].end 4672.17846875
transcript.pyannote[789].speaker SPEAKER_36
transcript.pyannote[789].start 4672.17846875
transcript.pyannote[789].end 4672.48221875
transcript.pyannote[790].speaker SPEAKER_36
transcript.pyannote[790].start 4672.76909375
transcript.pyannote[790].end 4673.76471875
transcript.pyannote[791].speaker SPEAKER_39
transcript.pyannote[791].start 4674.00096875
transcript.pyannote[791].end 4674.30471875
transcript.pyannote[792].speaker SPEAKER_36
transcript.pyannote[792].start 4678.40534375
transcript.pyannote[792].end 4678.42221875
transcript.pyannote[793].speaker SPEAKER_35
transcript.pyannote[793].start 4678.42221875
transcript.pyannote[793].end 4679.02971875
transcript.pyannote[794].speaker SPEAKER_36
transcript.pyannote[794].start 4679.02971875
transcript.pyannote[794].end 4679.77221875
transcript.pyannote[795].speaker SPEAKER_35
transcript.pyannote[795].start 4679.77221875
transcript.pyannote[795].end 4679.80596875
transcript.pyannote[796].speaker SPEAKER_36
transcript.pyannote[796].start 4679.80596875
transcript.pyannote[796].end 4679.82284375
transcript.pyannote[797].speaker SPEAKER_05
transcript.pyannote[797].start 4682.05034375
transcript.pyannote[797].end 4682.48909375
transcript.pyannote[798].speaker SPEAKER_36
transcript.pyannote[798].start 4682.48909375
transcript.pyannote[798].end 4683.88971875
transcript.pyannote[799].speaker SPEAKER_05
transcript.pyannote[799].start 4683.88971875
transcript.pyannote[799].end 4683.90659375
transcript.pyannote[800].speaker SPEAKER_24
transcript.pyannote[800].start 4686.60659375
transcript.pyannote[800].end 4688.32784375
transcript.pyannote[801].speaker SPEAKER_36
transcript.pyannote[801].start 4688.32784375
transcript.pyannote[801].end 4692.69846875
transcript.pyannote[802].speaker SPEAKER_24
transcript.pyannote[802].start 4689.82971875
transcript.pyannote[802].end 4710.63659375
transcript.pyannote[803].speaker SPEAKER_39
transcript.pyannote[803].start 4692.69846875
transcript.pyannote[803].end 4693.10346875
transcript.pyannote[804].speaker SPEAKER_36
transcript.pyannote[804].start 4693.10346875
transcript.pyannote[804].end 4693.28909375
transcript.pyannote[805].speaker SPEAKER_36
transcript.pyannote[805].start 4693.89659375
transcript.pyannote[805].end 4694.01471875
transcript.pyannote[806].speaker SPEAKER_36
transcript.pyannote[806].start 4696.93409375
transcript.pyannote[806].end 4696.96784375
transcript.pyannote[807].speaker SPEAKER_39
transcript.pyannote[807].start 4696.96784375
transcript.pyannote[807].end 4698.68909375
transcript.pyannote[808].speaker SPEAKER_39
transcript.pyannote[808].start 4699.31346875
transcript.pyannote[808].end 4699.68471875
transcript.pyannote[809].speaker SPEAKER_39
transcript.pyannote[809].start 4700.91659375
transcript.pyannote[809].end 4701.25409375
transcript.pyannote[810].speaker SPEAKER_39
transcript.pyannote[810].start 4703.59971875
transcript.pyannote[810].end 4703.97096875
transcript.pyannote[811].speaker SPEAKER_05
transcript.pyannote[811].start 4703.97096875
transcript.pyannote[811].end 4704.05534375
transcript.pyannote[812].speaker SPEAKER_39
transcript.pyannote[812].start 4705.47284375
transcript.pyannote[812].end 4705.50659375
transcript.pyannote[813].speaker SPEAKER_39
transcript.pyannote[813].start 4705.59096875
transcript.pyannote[813].end 4705.69221875
transcript.pyannote[814].speaker SPEAKER_05
transcript.pyannote[814].start 4706.04659375
transcript.pyannote[814].end 4706.33346875
transcript.pyannote[815].speaker SPEAKER_39
transcript.pyannote[815].start 4706.33346875
transcript.pyannote[815].end 4706.38409375
transcript.pyannote[816].speaker SPEAKER_05
transcript.pyannote[816].start 4706.38409375
transcript.pyannote[816].end 4706.92409375
transcript.pyannote[817].speaker SPEAKER_05
transcript.pyannote[817].start 4709.99534375
transcript.pyannote[817].end 4729.18221875
transcript.pyannote[818].speaker SPEAKER_35
transcript.pyannote[818].start 4714.80471875
transcript.pyannote[818].end 4715.44596875
transcript.pyannote[819].speaker SPEAKER_35
transcript.pyannote[819].start 4718.21346875
transcript.pyannote[819].end 4718.28096875
transcript.pyannote[820].speaker SPEAKER_39
transcript.pyannote[820].start 4718.28096875
transcript.pyannote[820].end 4718.50034375
transcript.pyannote[821].speaker SPEAKER_35
transcript.pyannote[821].start 4718.50034375
transcript.pyannote[821].end 4718.56784375
transcript.pyannote[822].speaker SPEAKER_39
transcript.pyannote[822].start 4718.56784375
transcript.pyannote[822].end 4718.58471875
transcript.pyannote[823].speaker SPEAKER_33
transcript.pyannote[823].start 4724.92971875
transcript.pyannote[823].end 4725.95909375
transcript.pyannote[824].speaker SPEAKER_33
transcript.pyannote[824].start 4729.18221875
transcript.pyannote[824].end 4729.68846875
transcript.pyannote[825].speaker SPEAKER_05
transcript.pyannote[825].start 4734.26159375
transcript.pyannote[825].end 4738.61534375
transcript.pyannote[826].speaker SPEAKER_09
transcript.pyannote[826].start 4747.12034375
transcript.pyannote[826].end 4750.98471875
transcript.pyannote[827].speaker SPEAKER_04
transcript.pyannote[827].start 4750.27596875
transcript.pyannote[827].end 4751.35596875
transcript.pyannote[828].speaker SPEAKER_09
transcript.pyannote[828].start 4751.65971875
transcript.pyannote[828].end 4753.31346875
transcript.pyannote[829].speaker SPEAKER_05
transcript.pyannote[829].start 4757.44784375
transcript.pyannote[829].end 4758.37596875
transcript.pyannote[830].speaker SPEAKER_09
transcript.pyannote[830].start 4759.70909375
transcript.pyannote[830].end 4761.59909375
transcript.pyannote[831].speaker SPEAKER_09
transcript.pyannote[831].start 4762.03784375
transcript.pyannote[831].end 4792.88534375
transcript.pyannote[832].speaker SPEAKER_37
transcript.pyannote[832].start 4793.07096875
transcript.pyannote[832].end 4793.32409375
transcript.pyannote[833].speaker SPEAKER_09
transcript.pyannote[833].start 4793.56034375
transcript.pyannote[833].end 4801.40721875
transcript.pyannote[834].speaker SPEAKER_09
transcript.pyannote[834].start 4801.79534375
transcript.pyannote[834].end 4805.22096875
transcript.pyannote[835].speaker SPEAKER_09
transcript.pyannote[835].start 4805.57534375
transcript.pyannote[835].end 4826.38221875
transcript.pyannote[836].speaker SPEAKER_09
transcript.pyannote[836].start 4826.44971875
transcript.pyannote[836].end 4837.97534375
transcript.pyannote[837].speaker SPEAKER_09
transcript.pyannote[837].start 4838.02596875
transcript.pyannote[837].end 4846.96971875
transcript.pyannote[838].speaker SPEAKER_36
transcript.pyannote[838].start 4848.42096875
transcript.pyannote[838].end 4850.36159375
transcript.pyannote[839].speaker SPEAKER_36
transcript.pyannote[839].start 4850.69909375
transcript.pyannote[839].end 4856.20034375
transcript.pyannote[840].speaker SPEAKER_04
transcript.pyannote[840].start 4854.74909375
transcript.pyannote[840].end 4854.98534375
transcript.pyannote[841].speaker SPEAKER_36
transcript.pyannote[841].start 4856.75721875
transcript.pyannote[841].end 4862.41034375
transcript.pyannote[842].speaker SPEAKER_09
transcript.pyannote[842].start 4862.41034375
transcript.pyannote[842].end 4871.06721875
transcript.pyannote[843].speaker SPEAKER_36
transcript.pyannote[843].start 4862.47784375
transcript.pyannote[843].end 4862.52846875
transcript.pyannote[844].speaker SPEAKER_36
transcript.pyannote[844].start 4863.82784375
transcript.pyannote[844].end 4864.97534375
transcript.pyannote[845].speaker SPEAKER_36
transcript.pyannote[845].start 4871.06721875
transcript.pyannote[845].end 4872.29909375
transcript.pyannote[846].speaker SPEAKER_09
transcript.pyannote[846].start 4871.91096875
transcript.pyannote[846].end 4872.88971875
transcript.pyannote[847].speaker SPEAKER_36
transcript.pyannote[847].start 4872.78846875
transcript.pyannote[847].end 4873.76721875
transcript.pyannote[848].speaker SPEAKER_09
transcript.pyannote[848].start 4873.37909375
transcript.pyannote[848].end 4889.74784375
transcript.pyannote[849].speaker SPEAKER_09
transcript.pyannote[849].start 4890.16971875
transcript.pyannote[849].end 4891.92471875
transcript.pyannote[850].speaker SPEAKER_09
transcript.pyannote[850].start 4892.36346875
transcript.pyannote[850].end 4894.35471875
transcript.pyannote[851].speaker SPEAKER_36
transcript.pyannote[851].start 4894.35471875
transcript.pyannote[851].end 4897.69596875
transcript.pyannote[852].speaker SPEAKER_36
transcript.pyannote[852].start 4897.94909375
transcript.pyannote[852].end 4903.09596875
transcript.pyannote[853].speaker SPEAKER_36
transcript.pyannote[853].start 4903.33221875
transcript.pyannote[853].end 4910.63909375
transcript.pyannote[854].speaker SPEAKER_33
transcript.pyannote[854].start 4905.96471875
transcript.pyannote[854].end 4905.98159375
transcript.pyannote[855].speaker SPEAKER_09
transcript.pyannote[855].start 4905.98159375
transcript.pyannote[855].end 4906.50471875
transcript.pyannote[856].speaker SPEAKER_09
transcript.pyannote[856].start 4910.63909375
transcript.pyannote[856].end 4943.73096875
transcript.pyannote[857].speaker SPEAKER_36
transcript.pyannote[857].start 4910.68971875
transcript.pyannote[857].end 4910.97659375
transcript.pyannote[858].speaker SPEAKER_09
transcript.pyannote[858].start 4944.32159375
transcript.pyannote[858].end 4948.03409375
transcript.pyannote[859].speaker SPEAKER_39
transcript.pyannote[859].start 4948.03409375
transcript.pyannote[859].end 4948.27034375
transcript.pyannote[860].speaker SPEAKER_09
transcript.pyannote[860].start 4948.27034375
transcript.pyannote[860].end 4963.20471875
transcript.pyannote[861].speaker SPEAKER_09
transcript.pyannote[861].start 4963.69409375
transcript.pyannote[861].end 4969.41471875
transcript.pyannote[862].speaker SPEAKER_14
transcript.pyannote[862].start 4969.41471875
transcript.pyannote[862].end 5001.61221875
transcript.pyannote[863].speaker SPEAKER_09
transcript.pyannote[863].start 4998.08534375
transcript.pyannote[863].end 4998.59159375
transcript.pyannote[864].speaker SPEAKER_09
transcript.pyannote[864].start 5000.78534375
transcript.pyannote[864].end 5005.62846875
transcript.pyannote[865].speaker SPEAKER_14
transcript.pyannote[865].start 5001.88221875
transcript.pyannote[865].end 5002.52346875
transcript.pyannote[866].speaker SPEAKER_09
transcript.pyannote[866].start 5005.64534375
transcript.pyannote[866].end 5039.02409375
transcript.pyannote[867].speaker SPEAKER_09
transcript.pyannote[867].start 5039.59784375
transcript.pyannote[867].end 5057.19846875
transcript.pyannote[868].speaker SPEAKER_09
transcript.pyannote[868].start 5057.58659375
transcript.pyannote[868].end 5081.38034375
transcript.pyannote[869].speaker SPEAKER_09
transcript.pyannote[869].start 5081.90346875
transcript.pyannote[869].end 5083.67534375
transcript.pyannote[870].speaker SPEAKER_09
transcript.pyannote[870].start 5084.19846875
transcript.pyannote[870].end 5087.62409375
transcript.pyannote[871].speaker SPEAKER_09
transcript.pyannote[871].start 5088.50159375
transcript.pyannote[871].end 5094.15471875
transcript.pyannote[872].speaker SPEAKER_14
transcript.pyannote[872].start 5095.33596875
transcript.pyannote[872].end 5102.84534375
transcript.pyannote[873].speaker SPEAKER_09
transcript.pyannote[873].start 5102.05221875
transcript.pyannote[873].end 5109.42659375
transcript.pyannote[874].speaker SPEAKER_09
transcript.pyannote[874].start 5110.77659375
transcript.pyannote[874].end 5141.35409375
transcript.pyannote[875].speaker SPEAKER_14
transcript.pyannote[875].start 5141.16846875
transcript.pyannote[875].end 5141.33721875
transcript.pyannote[876].speaker SPEAKER_14
transcript.pyannote[876].start 5141.35409375
transcript.pyannote[876].end 5141.37096875
transcript.pyannote[877].speaker SPEAKER_09
transcript.pyannote[877].start 5141.37096875
transcript.pyannote[877].end 5141.38784375
transcript.pyannote[878].speaker SPEAKER_14
transcript.pyannote[878].start 5141.38784375
transcript.pyannote[878].end 5159.10659375
transcript.pyannote[879].speaker SPEAKER_09
transcript.pyannote[879].start 5157.04784375
transcript.pyannote[879].end 5166.14346875
transcript.pyannote[880].speaker SPEAKER_09
transcript.pyannote[880].start 5166.54846875
transcript.pyannote[880].end 5170.32846875
transcript.pyannote[881].speaker SPEAKER_09
transcript.pyannote[881].start 5170.53096875
transcript.pyannote[881].end 5193.49784375
transcript.pyannote[882].speaker SPEAKER_09
transcript.pyannote[882].start 5194.20659375
transcript.pyannote[882].end 5197.36221875
transcript.pyannote[883].speaker SPEAKER_09
transcript.pyannote[883].start 5197.80096875
transcript.pyannote[883].end 5202.00284375
transcript.pyannote[884].speaker SPEAKER_36
transcript.pyannote[884].start 5202.74534375
transcript.pyannote[884].end 5214.62534375
transcript.pyannote[885].speaker SPEAKER_33
transcript.pyannote[885].start 5214.62534375
transcript.pyannote[885].end 5214.69284375
transcript.pyannote[886].speaker SPEAKER_36
transcript.pyannote[886].start 5214.69284375
transcript.pyannote[886].end 5219.13096875
transcript.pyannote[887].speaker SPEAKER_33
transcript.pyannote[887].start 5214.81096875
transcript.pyannote[887].end 5214.82784375
transcript.pyannote[888].speaker SPEAKER_09
transcript.pyannote[888].start 5214.82784375
transcript.pyannote[888].end 5214.84471875
transcript.pyannote[889].speaker SPEAKER_09
transcript.pyannote[889].start 5219.13096875
transcript.pyannote[889].end 5225.00346875
transcript.pyannote[890].speaker SPEAKER_36
transcript.pyannote[890].start 5221.62846875
transcript.pyannote[890].end 5222.08409375
transcript.pyannote[891].speaker SPEAKER_36
transcript.pyannote[891].start 5225.17221875
transcript.pyannote[891].end 5228.15909375
transcript.pyannote[892].speaker SPEAKER_36
transcript.pyannote[892].start 5228.58096875
transcript.pyannote[892].end 5235.36471875
transcript.pyannote[893].speaker SPEAKER_09
transcript.pyannote[893].start 5230.35284375
transcript.pyannote[893].end 5230.53846875
transcript.pyannote[894].speaker SPEAKER_09
transcript.pyannote[894].start 5235.36471875
transcript.pyannote[894].end 5273.14784375
transcript.pyannote[895].speaker SPEAKER_36
transcript.pyannote[895].start 5235.38159375
transcript.pyannote[895].end 5235.75284375
transcript.pyannote[896].speaker SPEAKER_00
transcript.pyannote[896].start 5241.84471875
transcript.pyannote[896].end 5241.89534375
transcript.pyannote[897].speaker SPEAKER_39
transcript.pyannote[897].start 5241.89534375
transcript.pyannote[897].end 5242.21596875
transcript.pyannote[898].speaker SPEAKER_00
transcript.pyannote[898].start 5242.21596875
transcript.pyannote[898].end 5242.24971875
transcript.pyannote[899].speaker SPEAKER_00
transcript.pyannote[899].start 5246.43471875
transcript.pyannote[899].end 5246.50221875
transcript.pyannote[900].speaker SPEAKER_36
transcript.pyannote[900].start 5273.14784375
transcript.pyannote[900].end 5273.23221875
transcript.pyannote[901].speaker SPEAKER_09
transcript.pyannote[901].start 5273.23221875
transcript.pyannote[901].end 5273.60346875
transcript.pyannote[902].speaker SPEAKER_36
transcript.pyannote[902].start 5273.60346875
transcript.pyannote[902].end 5273.80596875
transcript.pyannote[903].speaker SPEAKER_09
transcript.pyannote[903].start 5273.80596875
transcript.pyannote[903].end 5273.97471875
transcript.pyannote[904].speaker SPEAKER_36
transcript.pyannote[904].start 5273.97471875
transcript.pyannote[904].end 5273.99159375
transcript.pyannote[905].speaker SPEAKER_09
transcript.pyannote[905].start 5273.99159375
transcript.pyannote[905].end 5274.02534375
transcript.pyannote[906].speaker SPEAKER_36
transcript.pyannote[906].start 5274.02534375
transcript.pyannote[906].end 5291.25471875
transcript.pyannote[907].speaker SPEAKER_09
transcript.pyannote[907].start 5275.03784375
transcript.pyannote[907].end 5275.52721875
transcript.pyannote[908].speaker SPEAKER_09
transcript.pyannote[908].start 5291.60909375
transcript.pyannote[908].end 5307.85971875
transcript.pyannote[909].speaker SPEAKER_09
transcript.pyannote[909].start 5308.11284375
transcript.pyannote[909].end 5315.68971875
transcript.pyannote[910].speaker SPEAKER_36
transcript.pyannote[910].start 5313.49596875
transcript.pyannote[910].end 5324.81909375
transcript.pyannote[911].speaker SPEAKER_09
transcript.pyannote[911].start 5317.96784375
transcript.pyannote[911].end 5319.04784375
transcript.pyannote[912].speaker SPEAKER_09
transcript.pyannote[912].start 5321.35971875
transcript.pyannote[912].end 5321.76471875
transcript.pyannote[913].speaker SPEAKER_09
transcript.pyannote[913].start 5324.76846875
transcript.pyannote[913].end 5330.55659375
transcript.pyannote[914].speaker SPEAKER_05
transcript.pyannote[914].start 5331.45096875
transcript.pyannote[914].end 5332.86846875
transcript.pyannote[915].speaker SPEAKER_05
transcript.pyannote[915].start 5333.34096875
transcript.pyannote[915].end 5338.55534375
transcript.pyannote[916].speaker SPEAKER_11
transcript.pyannote[916].start 5355.53159375
transcript.pyannote[916].end 5358.01221875
transcript.pyannote[917].speaker SPEAKER_03
transcript.pyannote[917].start 5358.56909375
transcript.pyannote[917].end 5359.68284375
transcript.pyannote[918].speaker SPEAKER_11
transcript.pyannote[918].start 5366.60159375
transcript.pyannote[918].end 5366.61846875
transcript.pyannote[919].speaker SPEAKER_36
transcript.pyannote[919].start 5366.61846875
transcript.pyannote[919].end 5367.07409375
transcript.pyannote[920].speaker SPEAKER_11
transcript.pyannote[920].start 5367.07409375
transcript.pyannote[920].end 5368.15409375
transcript.pyannote[921].speaker SPEAKER_11
transcript.pyannote[921].start 5368.98096875
transcript.pyannote[921].end 5372.82846875
transcript.pyannote[922].speaker SPEAKER_39
transcript.pyannote[922].start 5372.59221875
transcript.pyannote[922].end 5372.76096875
transcript.pyannote[923].speaker SPEAKER_11
transcript.pyannote[923].start 5373.21659375
transcript.pyannote[923].end 5376.00096875
transcript.pyannote[924].speaker SPEAKER_11
transcript.pyannote[924].start 5376.22034375
transcript.pyannote[924].end 5381.08034375
transcript.pyannote[925].speaker SPEAKER_11
transcript.pyannote[925].start 5382.51471875
transcript.pyannote[925].end 5388.35346875
transcript.pyannote[926].speaker SPEAKER_11
transcript.pyannote[926].start 5388.84284375
transcript.pyannote[926].end 5392.16721875
transcript.pyannote[927].speaker SPEAKER_11
transcript.pyannote[927].start 5392.40346875
transcript.pyannote[927].end 5393.70284375
transcript.pyannote[928].speaker SPEAKER_36
transcript.pyannote[928].start 5394.12471875
transcript.pyannote[928].end 5395.33971875
transcript.pyannote[929].speaker SPEAKER_11
transcript.pyannote[929].start 5394.78284375
transcript.pyannote[929].end 5395.60971875
transcript.pyannote[930].speaker SPEAKER_11
transcript.pyannote[930].start 5395.87971875
transcript.pyannote[930].end 5397.66846875
transcript.pyannote[931].speaker SPEAKER_11
transcript.pyannote[931].start 5398.66409375
transcript.pyannote[931].end 5399.15346875
transcript.pyannote[932].speaker SPEAKER_11
transcript.pyannote[932].start 5399.77784375
transcript.pyannote[932].end 5402.03909375
transcript.pyannote[933].speaker SPEAKER_11
transcript.pyannote[933].start 5402.83221875
transcript.pyannote[933].end 5405.11034375
transcript.pyannote[934].speaker SPEAKER_11
transcript.pyannote[934].start 5405.61659375
transcript.pyannote[934].end 5407.27034375
transcript.pyannote[935].speaker SPEAKER_17
transcript.pyannote[935].start 5407.27034375
transcript.pyannote[935].end 5419.58909375
transcript.pyannote[936].speaker SPEAKER_11
transcript.pyannote[936].start 5410.57784375
transcript.pyannote[936].end 5410.61159375
transcript.pyannote[937].speaker SPEAKER_11
transcript.pyannote[937].start 5410.93221875
transcript.pyannote[937].end 5411.08409375
transcript.pyannote[938].speaker SPEAKER_11
transcript.pyannote[938].start 5415.57284375
transcript.pyannote[938].end 5416.24784375
transcript.pyannote[939].speaker SPEAKER_11
transcript.pyannote[939].start 5417.71596875
transcript.pyannote[939].end 5419.40346875
transcript.pyannote[940].speaker SPEAKER_11
transcript.pyannote[940].start 5420.46659375
transcript.pyannote[940].end 5421.64784375
transcript.pyannote[941].speaker SPEAKER_11
transcript.pyannote[941].start 5422.20471875
transcript.pyannote[941].end 5425.12409375
transcript.pyannote[942].speaker SPEAKER_17
transcript.pyannote[942].start 5427.03096875
transcript.pyannote[942].end 5428.41471875
transcript.pyannote[943].speaker SPEAKER_17
transcript.pyannote[943].start 5428.56659375
transcript.pyannote[943].end 5454.89159375
transcript.pyannote[944].speaker SPEAKER_17
transcript.pyannote[944].start 5455.00971875
transcript.pyannote[944].end 5455.97159375
transcript.pyannote[945].speaker SPEAKER_11
transcript.pyannote[945].start 5455.97159375
transcript.pyannote[945].end 5461.47284375
transcript.pyannote[946].speaker SPEAKER_11
transcript.pyannote[946].start 5462.65409375
transcript.pyannote[946].end 5465.03346875
transcript.pyannote[947].speaker SPEAKER_11
transcript.pyannote[947].start 5465.97846875
transcript.pyannote[947].end 5468.34096875
transcript.pyannote[948].speaker SPEAKER_17
transcript.pyannote[948].start 5468.34096875
transcript.pyannote[948].end 5472.62721875
transcript.pyannote[949].speaker SPEAKER_11
transcript.pyannote[949].start 5468.39159375
transcript.pyannote[949].end 5468.47596875
transcript.pyannote[950].speaker SPEAKER_11
transcript.pyannote[950].start 5472.49221875
transcript.pyannote[950].end 5472.61034375
transcript.pyannote[951].speaker SPEAKER_11
transcript.pyannote[951].start 5472.62721875
transcript.pyannote[951].end 5472.76221875
transcript.pyannote[952].speaker SPEAKER_17
transcript.pyannote[952].start 5472.76221875
transcript.pyannote[952].end 5489.53596875
transcript.pyannote[953].speaker SPEAKER_11
transcript.pyannote[953].start 5472.77909375
transcript.pyannote[953].end 5472.93096875
transcript.pyannote[954].speaker SPEAKER_11
transcript.pyannote[954].start 5489.53596875
transcript.pyannote[954].end 5489.60346875
transcript.pyannote[955].speaker SPEAKER_11
transcript.pyannote[955].start 5490.16034375
transcript.pyannote[955].end 5491.61159375
transcript.pyannote[956].speaker SPEAKER_11
transcript.pyannote[956].start 5491.78034375
transcript.pyannote[956].end 5495.42534375
transcript.pyannote[957].speaker SPEAKER_11
transcript.pyannote[957].start 5496.21846875
transcript.pyannote[957].end 5497.95659375
transcript.pyannote[958].speaker SPEAKER_11
transcript.pyannote[958].start 5498.63159375
transcript.pyannote[958].end 5501.48346875
transcript.pyannote[959].speaker SPEAKER_11
transcript.pyannote[959].start 5501.93909375
transcript.pyannote[959].end 5503.86284375
transcript.pyannote[960].speaker SPEAKER_11
transcript.pyannote[960].start 5504.28471875
transcript.pyannote[960].end 5507.50784375
transcript.pyannote[961].speaker SPEAKER_11
transcript.pyannote[961].start 5508.03096875
transcript.pyannote[961].end 5509.76909375
transcript.pyannote[962].speaker SPEAKER_11
transcript.pyannote[962].start 5510.07284375
transcript.pyannote[962].end 5510.39346875
transcript.pyannote[963].speaker SPEAKER_11
transcript.pyannote[963].start 5510.56221875
transcript.pyannote[963].end 5511.57471875
transcript.pyannote[964].speaker SPEAKER_11
transcript.pyannote[964].start 5512.36784375
transcript.pyannote[964].end 5514.05534375
transcript.pyannote[965].speaker SPEAKER_11
transcript.pyannote[965].start 5514.24096875
transcript.pyannote[965].end 5515.65846875
transcript.pyannote[966].speaker SPEAKER_11
transcript.pyannote[966].start 5516.28284375
transcript.pyannote[966].end 5516.92409375
transcript.pyannote[967].speaker SPEAKER_11
transcript.pyannote[967].start 5517.80159375
transcript.pyannote[967].end 5518.03784375
transcript.pyannote[968].speaker SPEAKER_17
transcript.pyannote[968].start 5518.03784375
transcript.pyannote[968].end 5518.47659375
transcript.pyannote[969].speaker SPEAKER_17
transcript.pyannote[969].start 5518.54409375
transcript.pyannote[969].end 5519.43846875
transcript.pyannote[970].speaker SPEAKER_17
transcript.pyannote[970].start 5519.59034375
transcript.pyannote[970].end 5529.58034375
transcript.pyannote[971].speaker SPEAKER_41
transcript.pyannote[971].start 5530.15409375
transcript.pyannote[971].end 5530.17096875
transcript.pyannote[972].speaker SPEAKER_39
transcript.pyannote[972].start 5530.17096875
transcript.pyannote[972].end 5530.67721875
transcript.pyannote[973].speaker SPEAKER_17
transcript.pyannote[973].start 5530.25534375
transcript.pyannote[973].end 5532.97221875
transcript.pyannote[974].speaker SPEAKER_11
transcript.pyannote[974].start 5530.67721875
transcript.pyannote[974].end 5530.69409375
transcript.pyannote[975].speaker SPEAKER_11
transcript.pyannote[975].start 5532.97221875
transcript.pyannote[975].end 5533.69784375
transcript.pyannote[976].speaker SPEAKER_11
transcript.pyannote[976].start 5534.86221875
transcript.pyannote[976].end 5539.33409375
transcript.pyannote[977].speaker SPEAKER_17
transcript.pyannote[977].start 5538.16971875
transcript.pyannote[977].end 5539.28346875
transcript.pyannote[978].speaker SPEAKER_17
transcript.pyannote[978].start 5539.33409375
transcript.pyannote[978].end 5539.55346875
transcript.pyannote[979].speaker SPEAKER_11
transcript.pyannote[979].start 5539.68846875
transcript.pyannote[979].end 5543.11409375
transcript.pyannote[980].speaker SPEAKER_17
transcript.pyannote[980].start 5542.10159375
transcript.pyannote[980].end 5547.29909375
transcript.pyannote[981].speaker SPEAKER_11
transcript.pyannote[981].start 5545.29096875
transcript.pyannote[981].end 5551.19721875
transcript.pyannote[982].speaker SPEAKER_11
transcript.pyannote[982].start 5554.21784375
transcript.pyannote[982].end 5554.69034375
transcript.pyannote[983].speaker SPEAKER_11
transcript.pyannote[983].start 5554.94346875
transcript.pyannote[983].end 5556.49596875
transcript.pyannote[984].speaker SPEAKER_11
transcript.pyannote[984].start 5556.93471875
transcript.pyannote[984].end 5558.80784375
transcript.pyannote[985].speaker SPEAKER_11
transcript.pyannote[985].start 5559.11159375
transcript.pyannote[985].end 5562.53721875
transcript.pyannote[986].speaker SPEAKER_11
transcript.pyannote[986].start 5563.11096875
transcript.pyannote[986].end 5565.10221875
transcript.pyannote[987].speaker SPEAKER_11
transcript.pyannote[987].start 5565.27096875
transcript.pyannote[987].end 5570.83971875
transcript.pyannote[988].speaker SPEAKER_11
transcript.pyannote[988].start 5571.58221875
transcript.pyannote[988].end 5572.72971875
transcript.pyannote[989].speaker SPEAKER_11
transcript.pyannote[989].start 5573.94471875
transcript.pyannote[989].end 5575.63221875
transcript.pyannote[990].speaker SPEAKER_11
transcript.pyannote[990].start 5575.86846875
transcript.pyannote[990].end 5577.13409375
transcript.pyannote[991].speaker SPEAKER_11
transcript.pyannote[991].start 5577.89346875
transcript.pyannote[991].end 5585.38596875
transcript.pyannote[992].speaker SPEAKER_11
transcript.pyannote[992].start 5586.24659375
transcript.pyannote[992].end 5586.98909375
transcript.pyannote[993].speaker SPEAKER_11
transcript.pyannote[993].start 5587.25909375
transcript.pyannote[993].end 5588.69346875
transcript.pyannote[994].speaker SPEAKER_11
transcript.pyannote[994].start 5590.93784375
transcript.pyannote[994].end 5591.29221875
transcript.pyannote[995].speaker SPEAKER_11
transcript.pyannote[995].start 5591.84909375
transcript.pyannote[995].end 5593.33409375
transcript.pyannote[996].speaker SPEAKER_11
transcript.pyannote[996].start 5594.53221875
transcript.pyannote[996].end 5595.46034375
transcript.pyannote[997].speaker SPEAKER_11
transcript.pyannote[997].start 5596.23659375
transcript.pyannote[997].end 5597.38409375
transcript.pyannote[998].speaker SPEAKER_11
transcript.pyannote[998].start 5598.09284375
transcript.pyannote[998].end 5599.37534375
transcript.pyannote[999].speaker SPEAKER_11
transcript.pyannote[999].start 5599.89846875
transcript.pyannote[999].end 5601.73784375
transcript.pyannote[1000].speaker SPEAKER_11
transcript.pyannote[1000].start 5602.83471875
transcript.pyannote[1000].end 5603.56034375
transcript.pyannote[1001].speaker SPEAKER_11
transcript.pyannote[1001].start 5604.58971875
transcript.pyannote[1001].end 5606.88471875
transcript.pyannote[1002].speaker SPEAKER_11
transcript.pyannote[1002].start 5607.52596875
transcript.pyannote[1002].end 5608.67346875
transcript.pyannote[1003].speaker SPEAKER_11
transcript.pyannote[1003].start 5609.04471875
transcript.pyannote[1003].end 5609.28096875
transcript.pyannote[1004].speaker SPEAKER_11
transcript.pyannote[1004].start 5610.54659375
transcript.pyannote[1004].end 5613.85409375
transcript.pyannote[1005].speaker SPEAKER_11
transcript.pyannote[1005].start 5614.10721875
transcript.pyannote[1005].end 5614.81596875
transcript.pyannote[1006].speaker SPEAKER_11
transcript.pyannote[1006].start 5615.10284375
transcript.pyannote[1006].end 5615.57534375
transcript.pyannote[1007].speaker SPEAKER_11
transcript.pyannote[1007].start 5616.53721875
transcript.pyannote[1007].end 5616.85784375
transcript.pyannote[1008].speaker SPEAKER_11
transcript.pyannote[1008].start 5616.94221875
transcript.pyannote[1008].end 5617.97159375
transcript.pyannote[1009].speaker SPEAKER_11
transcript.pyannote[1009].start 5618.24159375
transcript.pyannote[1009].end 5621.90346875
transcript.pyannote[1010].speaker SPEAKER_11
transcript.pyannote[1010].start 5622.46034375
transcript.pyannote[1010].end 5626.17284375
transcript.pyannote[1011].speaker SPEAKER_39
transcript.pyannote[1011].start 5625.56534375
transcript.pyannote[1011].end 5626.10534375
transcript.pyannote[1012].speaker SPEAKER_39
transcript.pyannote[1012].start 5626.17284375
transcript.pyannote[1012].end 5626.22346875
transcript.pyannote[1013].speaker SPEAKER_11
transcript.pyannote[1013].start 5626.22346875
transcript.pyannote[1013].end 5626.24034375
transcript.pyannote[1014].speaker SPEAKER_39
transcript.pyannote[1014].start 5626.24034375
transcript.pyannote[1014].end 5626.27409375
transcript.pyannote[1015].speaker SPEAKER_11
transcript.pyannote[1015].start 5626.27409375
transcript.pyannote[1015].end 5628.82221875
transcript.pyannote[1016].speaker SPEAKER_39
transcript.pyannote[1016].start 5627.25284375
transcript.pyannote[1016].end 5627.47221875
transcript.pyannote[1017].speaker SPEAKER_11
transcript.pyannote[1017].start 5629.46346875
transcript.pyannote[1017].end 5630.77971875
transcript.pyannote[1018].speaker SPEAKER_11
transcript.pyannote[1018].start 5630.96534375
transcript.pyannote[1018].end 5634.98159375
transcript.pyannote[1019].speaker SPEAKER_11
transcript.pyannote[1019].start 5635.36971875
transcript.pyannote[1019].end 5636.66909375
transcript.pyannote[1020].speaker SPEAKER_11
transcript.pyannote[1020].start 5637.05721875
transcript.pyannote[1020].end 5638.27221875
transcript.pyannote[1021].speaker SPEAKER_11
transcript.pyannote[1021].start 5638.82909375
transcript.pyannote[1021].end 5642.25471875
transcript.pyannote[1022].speaker SPEAKER_11
transcript.pyannote[1022].start 5642.77784375
transcript.pyannote[1022].end 5644.33034375
transcript.pyannote[1023].speaker SPEAKER_11
transcript.pyannote[1023].start 5645.56221875
transcript.pyannote[1023].end 5647.90784375
transcript.pyannote[1024].speaker SPEAKER_11
transcript.pyannote[1024].start 5650.08471875
transcript.pyannote[1024].end 5652.31221875
transcript.pyannote[1025].speaker SPEAKER_11
transcript.pyannote[1025].start 5653.13909375
transcript.pyannote[1025].end 5655.02909375
transcript.pyannote[1026].speaker SPEAKER_17
transcript.pyannote[1026].start 5655.24846875
transcript.pyannote[1026].end 5660.04096875
transcript.pyannote[1027].speaker SPEAKER_11
transcript.pyannote[1027].start 5658.21846875
transcript.pyannote[1027].end 5659.11284375
transcript.pyannote[1028].speaker SPEAKER_11
transcript.pyannote[1028].start 5660.04096875
transcript.pyannote[1028].end 5660.83409375
transcript.pyannote[1029].speaker SPEAKER_17
transcript.pyannote[1029].start 5660.83409375
transcript.pyannote[1029].end 5682.11346875
transcript.pyannote[1030].speaker SPEAKER_11
transcript.pyannote[1030].start 5672.07284375
transcript.pyannote[1030].end 5672.64659375
transcript.pyannote[1031].speaker SPEAKER_11
transcript.pyannote[1031].start 5682.61971875
transcript.pyannote[1031].end 5684.22284375
transcript.pyannote[1032].speaker SPEAKER_11
transcript.pyannote[1032].start 5684.98221875
transcript.pyannote[1032].end 5686.50096875
transcript.pyannote[1033].speaker SPEAKER_11
transcript.pyannote[1033].start 5687.59784375
transcript.pyannote[1033].end 5689.48784375
transcript.pyannote[1034].speaker SPEAKER_11
transcript.pyannote[1034].start 5690.17971875
transcript.pyannote[1034].end 5693.16659375
transcript.pyannote[1035].speaker SPEAKER_11
transcript.pyannote[1035].start 5694.06096875
transcript.pyannote[1035].end 5695.02284375
transcript.pyannote[1036].speaker SPEAKER_11
transcript.pyannote[1036].start 5695.90034375
transcript.pyannote[1036].end 5698.31346875
transcript.pyannote[1037].speaker SPEAKER_11
transcript.pyannote[1037].start 5699.19096875
transcript.pyannote[1037].end 5701.09784375
transcript.pyannote[1038].speaker SPEAKER_11
transcript.pyannote[1038].start 5702.22846875
transcript.pyannote[1038].end 5704.79346875
transcript.pyannote[1039].speaker SPEAKER_11
transcript.pyannote[1039].start 5705.56971875
transcript.pyannote[1039].end 5707.94909375
transcript.pyannote[1040].speaker SPEAKER_11
transcript.pyannote[1040].start 5708.47221875
transcript.pyannote[1040].end 5709.55221875
transcript.pyannote[1041].speaker SPEAKER_11
transcript.pyannote[1041].start 5710.02471875
transcript.pyannote[1041].end 5711.64471875
transcript.pyannote[1042].speaker SPEAKER_11
transcript.pyannote[1042].start 5712.04971875
transcript.pyannote[1042].end 5715.17159375
transcript.pyannote[1043].speaker SPEAKER_17
transcript.pyannote[1043].start 5715.17159375
transcript.pyannote[1043].end 5715.35721875
transcript.pyannote[1044].speaker SPEAKER_11
transcript.pyannote[1044].start 5715.35721875
transcript.pyannote[1044].end 5716.03221875
transcript.pyannote[1045].speaker SPEAKER_17
transcript.pyannote[1045].start 5716.03221875
transcript.pyannote[1045].end 5718.46221875
transcript.pyannote[1046].speaker SPEAKER_17
transcript.pyannote[1046].start 5718.81659375
transcript.pyannote[1046].end 5731.64159375
transcript.pyannote[1047].speaker SPEAKER_11
transcript.pyannote[1047].start 5727.77721875
transcript.pyannote[1047].end 5728.28346875
transcript.pyannote[1048].speaker SPEAKER_17
transcript.pyannote[1048].start 5732.14784375
transcript.pyannote[1048].end 5732.16471875
transcript.pyannote[1049].speaker SPEAKER_11
transcript.pyannote[1049].start 5732.16471875
transcript.pyannote[1049].end 5736.85596875
transcript.pyannote[1050].speaker SPEAKER_11
transcript.pyannote[1050].start 5737.81784375
transcript.pyannote[1050].end 5747.60534375
transcript.pyannote[1051].speaker SPEAKER_16
transcript.pyannote[1051].start 5740.34909375
transcript.pyannote[1051].end 5741.31096875
transcript.pyannote[1052].speaker SPEAKER_17
transcript.pyannote[1052].start 5741.31096875
transcript.pyannote[1052].end 5741.34471875
transcript.pyannote[1053].speaker SPEAKER_17
transcript.pyannote[1053].start 5746.59284375
transcript.pyannote[1053].end 5747.97659375
transcript.pyannote[1054].speaker SPEAKER_11
transcript.pyannote[1054].start 5747.97659375
transcript.pyannote[1054].end 5752.02659375
transcript.pyannote[1055].speaker SPEAKER_17
transcript.pyannote[1055].start 5750.27159375
transcript.pyannote[1055].end 5750.67659375
transcript.pyannote[1056].speaker SPEAKER_11
transcript.pyannote[1056].start 5752.66784375
transcript.pyannote[1056].end 5753.66346875
transcript.pyannote[1057].speaker SPEAKER_11
transcript.pyannote[1057].start 5754.27096875
transcript.pyannote[1057].end 5756.31284375
transcript.pyannote[1058].speaker SPEAKER_11
transcript.pyannote[1058].start 5757.83159375
transcript.pyannote[1058].end 5762.69159375
transcript.pyannote[1059].speaker SPEAKER_11
transcript.pyannote[1059].start 5763.13034375
transcript.pyannote[1059].end 5765.25659375
transcript.pyannote[1060].speaker SPEAKER_11
transcript.pyannote[1060].start 5765.96534375
transcript.pyannote[1060].end 5766.74159375
transcript.pyannote[1061].speaker SPEAKER_11
transcript.pyannote[1061].start 5767.14659375
transcript.pyannote[1061].end 5771.46659375
transcript.pyannote[1062].speaker SPEAKER_11
transcript.pyannote[1062].start 5771.68596875
transcript.pyannote[1062].end 5774.60534375
transcript.pyannote[1063].speaker SPEAKER_17
transcript.pyannote[1063].start 5774.41971875
transcript.pyannote[1063].end 5780.17409375
transcript.pyannote[1064].speaker SPEAKER_11
transcript.pyannote[1064].start 5779.09409375
transcript.pyannote[1064].end 5781.74346875
transcript.pyannote[1065].speaker SPEAKER_11
transcript.pyannote[1065].start 5782.82346875
transcript.pyannote[1065].end 5783.85284375
transcript.pyannote[1066].speaker SPEAKER_11
transcript.pyannote[1066].start 5784.32534375
transcript.pyannote[1066].end 5786.43471875
transcript.pyannote[1067].speaker SPEAKER_11
transcript.pyannote[1067].start 5786.55284375
transcript.pyannote[1067].end 5787.46409375
transcript.pyannote[1068].speaker SPEAKER_11
transcript.pyannote[1068].start 5788.10534375
transcript.pyannote[1068].end 5789.37096875
transcript.pyannote[1069].speaker SPEAKER_11
transcript.pyannote[1069].start 5789.89409375
transcript.pyannote[1069].end 5790.60284375
transcript.pyannote[1070].speaker SPEAKER_11
transcript.pyannote[1070].start 5791.02471875
transcript.pyannote[1070].end 5805.19971875
transcript.pyannote[1071].speaker SPEAKER_17
transcript.pyannote[1071].start 5792.52659375
transcript.pyannote[1071].end 5795.10846875
transcript.pyannote[1072].speaker SPEAKER_17
transcript.pyannote[1072].start 5795.66534375
transcript.pyannote[1072].end 5795.96909375
transcript.pyannote[1073].speaker SPEAKER_17
transcript.pyannote[1073].start 5796.96471875
transcript.pyannote[1073].end 5797.28534375
transcript.pyannote[1074].speaker SPEAKER_17
transcript.pyannote[1074].start 5801.18346875
transcript.pyannote[1074].end 5801.62221875
transcript.pyannote[1075].speaker SPEAKER_11
transcript.pyannote[1075].start 5805.41909375
transcript.pyannote[1075].end 5816.77596875
transcript.pyannote[1076].speaker SPEAKER_39
transcript.pyannote[1076].start 5806.92096875
transcript.pyannote[1076].end 5807.61284375
transcript.pyannote[1077].speaker SPEAKER_39
transcript.pyannote[1077].start 5809.16534375
transcript.pyannote[1077].end 5810.04284375
transcript.pyannote[1078].speaker SPEAKER_39
transcript.pyannote[1078].start 5810.31284375
transcript.pyannote[1078].end 5810.51534375
transcript.pyannote[1079].speaker SPEAKER_00
transcript.pyannote[1079].start 5810.51534375
transcript.pyannote[1079].end 5810.75159375
transcript.pyannote[1080].speaker SPEAKER_00
transcript.pyannote[1080].start 5813.45159375
transcript.pyannote[1080].end 5813.73846875
transcript.pyannote[1081].speaker SPEAKER_39
transcript.pyannote[1081].start 5815.91534375
transcript.pyannote[1081].end 5816.67471875
transcript.pyannote[1082].speaker SPEAKER_11
transcript.pyannote[1082].start 5817.19784375
transcript.pyannote[1082].end 5821.02846875
transcript.pyannote[1083].speaker SPEAKER_17
transcript.pyannote[1083].start 5821.02846875
transcript.pyannote[1083].end 5835.37221875
transcript.pyannote[1084].speaker SPEAKER_11
transcript.pyannote[1084].start 5835.74346875
transcript.pyannote[1084].end 5837.61659375
transcript.pyannote[1085].speaker SPEAKER_11
transcript.pyannote[1085].start 5837.86971875
transcript.pyannote[1085].end 5839.01721875
transcript.pyannote[1086].speaker SPEAKER_11
transcript.pyannote[1086].start 5839.60784375
transcript.pyannote[1086].end 5840.35034375
transcript.pyannote[1087].speaker SPEAKER_11
transcript.pyannote[1087].start 5841.21096875
transcript.pyannote[1087].end 5842.93221875
transcript.pyannote[1088].speaker SPEAKER_11
transcript.pyannote[1088].start 5843.70846875
transcript.pyannote[1088].end 5844.82221875
transcript.pyannote[1089].speaker SPEAKER_11
transcript.pyannote[1089].start 5845.22721875
transcript.pyannote[1089].end 5847.91034375
transcript.pyannote[1090].speaker SPEAKER_00
transcript.pyannote[1090].start 5846.32409375
transcript.pyannote[1090].end 5846.96534375
transcript.pyannote[1091].speaker SPEAKER_11
transcript.pyannote[1091].start 5848.92284375
transcript.pyannote[1091].end 5850.57659375
transcript.pyannote[1092].speaker SPEAKER_11
transcript.pyannote[1092].start 5851.25159375
transcript.pyannote[1092].end 5851.96034375
transcript.pyannote[1093].speaker SPEAKER_11
transcript.pyannote[1093].start 5852.50034375
transcript.pyannote[1093].end 5854.49159375
transcript.pyannote[1094].speaker SPEAKER_11
transcript.pyannote[1094].start 5854.67721875
transcript.pyannote[1094].end 5863.03034375
transcript.pyannote[1095].speaker SPEAKER_17
transcript.pyannote[1095].start 5861.62971875
transcript.pyannote[1095].end 5862.10221875
transcript.pyannote[1096].speaker SPEAKER_17
transcript.pyannote[1096].start 5863.03034375
transcript.pyannote[1096].end 5866.96221875
transcript.pyannote[1097].speaker SPEAKER_11
transcript.pyannote[1097].start 5866.20284375
transcript.pyannote[1097].end 5866.77659375
transcript.pyannote[1098].speaker SPEAKER_05
transcript.pyannote[1098].start 5867.94096875
transcript.pyannote[1098].end 5869.84784375
transcript.pyannote[1099].speaker SPEAKER_05
transcript.pyannote[1099].start 5870.52284375
transcript.pyannote[1099].end 5873.74596875
transcript.pyannote[1100].speaker SPEAKER_03
transcript.pyannote[1100].start 5873.99909375
transcript.pyannote[1100].end 5875.68659375
transcript.pyannote[1101].speaker SPEAKER_05
transcript.pyannote[1101].start 5877.76221875
transcript.pyannote[1101].end 5879.09534375
transcript.pyannote[1102].speaker SPEAKER_05
transcript.pyannote[1102].start 5879.43284375
transcript.pyannote[1102].end 5881.45784375
transcript.pyannote[1103].speaker SPEAKER_26
transcript.pyannote[1103].start 5889.74346875
transcript.pyannote[1103].end 5892.44346875
transcript.pyannote[1104].speaker SPEAKER_26
transcript.pyannote[1104].start 5892.94971875
transcript.pyannote[1104].end 5894.41784375
transcript.pyannote[1105].speaker SPEAKER_33
transcript.pyannote[1105].start 5900.61096875
transcript.pyannote[1105].end 5901.48846875
transcript.pyannote[1106].speaker SPEAKER_25
transcript.pyannote[1106].start 5901.52221875
transcript.pyannote[1106].end 5911.93409375
transcript.pyannote[1107].speaker SPEAKER_25
transcript.pyannote[1107].start 5912.38971875
transcript.pyannote[1107].end 5913.82409375
transcript.pyannote[1108].speaker SPEAKER_25
transcript.pyannote[1108].start 5914.33034375
transcript.pyannote[1108].end 5915.41034375
transcript.pyannote[1109].speaker SPEAKER_25
transcript.pyannote[1109].start 5915.51159375
transcript.pyannote[1109].end 5917.60409375
transcript.pyannote[1110].speaker SPEAKER_36
transcript.pyannote[1110].start 5919.02159375
transcript.pyannote[1110].end 5922.31221875
transcript.pyannote[1111].speaker SPEAKER_25
transcript.pyannote[1111].start 5921.65409375
transcript.pyannote[1111].end 5925.33284375
transcript.pyannote[1112].speaker SPEAKER_36
transcript.pyannote[1112].start 5923.86471875
transcript.pyannote[1112].end 5924.30346875
transcript.pyannote[1113].speaker SPEAKER_25
transcript.pyannote[1113].start 5926.10909375
transcript.pyannote[1113].end 5929.92284375
transcript.pyannote[1114].speaker SPEAKER_36
transcript.pyannote[1114].start 5930.14221875
transcript.pyannote[1114].end 5930.85096875
transcript.pyannote[1115].speaker SPEAKER_36
transcript.pyannote[1115].start 5930.98596875
transcript.pyannote[1115].end 5934.39471875
transcript.pyannote[1116].speaker SPEAKER_25
transcript.pyannote[1116].start 5934.02346875
transcript.pyannote[1116].end 5936.40284375
transcript.pyannote[1117].speaker SPEAKER_36
transcript.pyannote[1117].start 5936.40284375
transcript.pyannote[1117].end 5942.59596875
transcript.pyannote[1118].speaker SPEAKER_25
transcript.pyannote[1118].start 5940.62159375
transcript.pyannote[1118].end 5945.16096875
transcript.pyannote[1119].speaker SPEAKER_36
transcript.pyannote[1119].start 5947.10159375
transcript.pyannote[1119].end 5947.32096875
transcript.pyannote[1120].speaker SPEAKER_25
transcript.pyannote[1120].start 5947.32096875
transcript.pyannote[1120].end 5947.42221875
transcript.pyannote[1121].speaker SPEAKER_36
transcript.pyannote[1121].start 5947.42221875
transcript.pyannote[1121].end 5948.41784375
transcript.pyannote[1122].speaker SPEAKER_36
transcript.pyannote[1122].start 5948.75534375
transcript.pyannote[1122].end 5949.64971875
transcript.pyannote[1123].speaker SPEAKER_25
transcript.pyannote[1123].start 5950.30784375
transcript.pyannote[1123].end 5950.32471875
transcript.pyannote[1124].speaker SPEAKER_36
transcript.pyannote[1124].start 5950.32471875
transcript.pyannote[1124].end 5950.86471875
transcript.pyannote[1125].speaker SPEAKER_36
transcript.pyannote[1125].start 5951.28659375
transcript.pyannote[1125].end 5960.90534375
transcript.pyannote[1126].speaker SPEAKER_25
transcript.pyannote[1126].start 5955.67409375
transcript.pyannote[1126].end 5956.56846875
transcript.pyannote[1127].speaker SPEAKER_25
transcript.pyannote[1127].start 5958.98159375
transcript.pyannote[1127].end 5959.89284375
transcript.pyannote[1128].speaker SPEAKER_36
transcript.pyannote[1128].start 5961.61409375
transcript.pyannote[1128].end 5963.43659375
transcript.pyannote[1129].speaker SPEAKER_25
transcript.pyannote[1129].start 5963.50409375
transcript.pyannote[1129].end 5964.83721875
transcript.pyannote[1130].speaker SPEAKER_36
transcript.pyannote[1130].start 5964.90471875
transcript.pyannote[1130].end 5969.78159375
transcript.pyannote[1131].speaker SPEAKER_25
transcript.pyannote[1131].start 5965.14096875
transcript.pyannote[1131].end 5965.25909375
transcript.pyannote[1132].speaker SPEAKER_25
transcript.pyannote[1132].start 5969.95034375
transcript.pyannote[1132].end 5972.83596875
transcript.pyannote[1133].speaker SPEAKER_36
transcript.pyannote[1133].start 5970.18659375
transcript.pyannote[1133].end 5978.35409375
transcript.pyannote[1134].speaker SPEAKER_25
transcript.pyannote[1134].start 5977.64534375
transcript.pyannote[1134].end 5980.93596875
transcript.pyannote[1135].speaker SPEAKER_25
transcript.pyannote[1135].start 5981.79659375
transcript.pyannote[1135].end 5982.62346875
transcript.pyannote[1136].speaker SPEAKER_25
transcript.pyannote[1136].start 5983.02846875
transcript.pyannote[1136].end 5984.58096875
transcript.pyannote[1137].speaker SPEAKER_36
transcript.pyannote[1137].start 5986.53846875
transcript.pyannote[1137].end 5990.01471875
transcript.pyannote[1138].speaker SPEAKER_25
transcript.pyannote[1138].start 5988.88409375
transcript.pyannote[1138].end 5995.68471875
transcript.pyannote[1139].speaker SPEAKER_33
transcript.pyannote[1139].start 5990.72346875
transcript.pyannote[1139].end 5991.01034375
transcript.pyannote[1140].speaker SPEAKER_36
transcript.pyannote[1140].start 5991.01034375
transcript.pyannote[1140].end 5992.51221875
transcript.pyannote[1141].speaker SPEAKER_36
transcript.pyannote[1141].start 5995.68471875
transcript.pyannote[1141].end 5997.43971875
transcript.pyannote[1142].speaker SPEAKER_36
transcript.pyannote[1142].start 5997.65909375
transcript.pyannote[1142].end 6001.18596875
transcript.pyannote[1143].speaker SPEAKER_25
transcript.pyannote[1143].start 6001.69221875
transcript.pyannote[1143].end 6002.02971875
transcript.pyannote[1144].speaker SPEAKER_25
transcript.pyannote[1144].start 6002.41784375
transcript.pyannote[1144].end 6014.95596875
transcript.pyannote[1145].speaker SPEAKER_36
transcript.pyannote[1145].start 6011.83409375
transcript.pyannote[1145].end 6012.93096875
transcript.pyannote[1146].speaker SPEAKER_25
transcript.pyannote[1146].start 6015.25971875
transcript.pyannote[1146].end 6019.17471875
transcript.pyannote[1147].speaker SPEAKER_33
transcript.pyannote[1147].start 6015.90096875
transcript.pyannote[1147].end 6016.20471875
transcript.pyannote[1148].speaker SPEAKER_33
transcript.pyannote[1148].start 6016.47471875
transcript.pyannote[1148].end 6016.69409375
transcript.pyannote[1149].speaker SPEAKER_25
transcript.pyannote[1149].start 6020.01846875
transcript.pyannote[1149].end 6027.03846875
transcript.pyannote[1150].speaker SPEAKER_25
transcript.pyannote[1150].start 6027.07221875
transcript.pyannote[1150].end 6029.11409375
transcript.pyannote[1151].speaker SPEAKER_25
transcript.pyannote[1151].start 6029.31659375
transcript.pyannote[1151].end 6030.58221875
transcript.pyannote[1152].speaker SPEAKER_25
transcript.pyannote[1152].start 6031.45971875
transcript.pyannote[1152].end 6032.43846875
transcript.pyannote[1153].speaker SPEAKER_25
transcript.pyannote[1153].start 6032.80971875
transcript.pyannote[1153].end 6034.14284375
transcript.pyannote[1154].speaker SPEAKER_25
transcript.pyannote[1154].start 6034.17659375
transcript.pyannote[1154].end 6034.24409375
transcript.pyannote[1155].speaker SPEAKER_36
transcript.pyannote[1155].start 6034.24409375
transcript.pyannote[1155].end 6035.12159375
transcript.pyannote[1156].speaker SPEAKER_25
transcript.pyannote[1156].start 6035.12159375
transcript.pyannote[1156].end 6035.17221875
transcript.pyannote[1157].speaker SPEAKER_25
transcript.pyannote[1157].start 6035.20596875
transcript.pyannote[1157].end 6037.38284375
transcript.pyannote[1158].speaker SPEAKER_36
transcript.pyannote[1158].start 6036.62346875
transcript.pyannote[1158].end 6039.94784375
transcript.pyannote[1159].speaker SPEAKER_25
transcript.pyannote[1159].start 6037.95659375
transcript.pyannote[1159].end 6038.66534375
transcript.pyannote[1160].speaker SPEAKER_25
transcript.pyannote[1160].start 6040.13346875
transcript.pyannote[1160].end 6042.85034375
transcript.pyannote[1161].speaker SPEAKER_36
transcript.pyannote[1161].start 6041.85471875
transcript.pyannote[1161].end 6043.22159375
transcript.pyannote[1162].speaker SPEAKER_25
transcript.pyannote[1162].start 6043.22159375
transcript.pyannote[1162].end 6051.77721875
transcript.pyannote[1163].speaker SPEAKER_25
transcript.pyannote[1163].start 6052.03034375
transcript.pyannote[1163].end 6057.16034375
transcript.pyannote[1164].speaker SPEAKER_36
transcript.pyannote[1164].start 6054.73034375
transcript.pyannote[1164].end 6055.40534375
transcript.pyannote[1165].speaker SPEAKER_25
transcript.pyannote[1165].start 6057.37971875
transcript.pyannote[1165].end 6057.41346875
transcript.pyannote[1166].speaker SPEAKER_36
transcript.pyannote[1166].start 6057.41346875
transcript.pyannote[1166].end 6063.13409375
transcript.pyannote[1167].speaker SPEAKER_36
transcript.pyannote[1167].start 6063.97784375
transcript.pyannote[1167].end 6066.17159375
transcript.pyannote[1168].speaker SPEAKER_36
transcript.pyannote[1168].start 6066.22221875
transcript.pyannote[1168].end 6075.90846875
transcript.pyannote[1169].speaker SPEAKER_36
transcript.pyannote[1169].start 6076.26284375
transcript.pyannote[1169].end 6077.83221875
transcript.pyannote[1170].speaker SPEAKER_36
transcript.pyannote[1170].start 6077.91659375
transcript.pyannote[1170].end 6077.93346875
transcript.pyannote[1171].speaker SPEAKER_33
transcript.pyannote[1171].start 6077.93346875
transcript.pyannote[1171].end 6077.95034375
transcript.pyannote[1172].speaker SPEAKER_25
transcript.pyannote[1172].start 6077.95034375
transcript.pyannote[1172].end 6078.37221875
transcript.pyannote[1173].speaker SPEAKER_36
transcript.pyannote[1173].start 6078.15284375
transcript.pyannote[1173].end 6079.14846875
transcript.pyannote[1174].speaker SPEAKER_36
transcript.pyannote[1174].start 6079.65471875
transcript.pyannote[1174].end 6080.21159375
transcript.pyannote[1175].speaker SPEAKER_36
transcript.pyannote[1175].start 6080.59971875
transcript.pyannote[1175].end 6081.64596875
transcript.pyannote[1176].speaker SPEAKER_25
transcript.pyannote[1176].start 6081.52784375
transcript.pyannote[1176].end 6083.21534375
transcript.pyannote[1177].speaker SPEAKER_36
transcript.pyannote[1177].start 6082.65846875
transcript.pyannote[1177].end 6087.56909375
transcript.pyannote[1178].speaker SPEAKER_25
transcript.pyannote[1178].start 6083.75534375
transcript.pyannote[1178].end 6084.64971875
transcript.pyannote[1179].speaker SPEAKER_25
transcript.pyannote[1179].start 6086.91096875
transcript.pyannote[1179].end 6101.49096875
transcript.pyannote[1180].speaker SPEAKER_36
transcript.pyannote[1180].start 6094.63971875
transcript.pyannote[1180].end 6094.97721875
transcript.pyannote[1181].speaker SPEAKER_00
transcript.pyannote[1181].start 6094.97721875
transcript.pyannote[1181].end 6095.02784375
transcript.pyannote[1182].speaker SPEAKER_25
transcript.pyannote[1182].start 6101.72721875
transcript.pyannote[1182].end 6104.25846875
transcript.pyannote[1183].speaker SPEAKER_25
transcript.pyannote[1183].start 6104.41034375
transcript.pyannote[1183].end 6105.30471875
transcript.pyannote[1184].speaker SPEAKER_25
transcript.pyannote[1184].start 6105.64221875
transcript.pyannote[1184].end 6108.49409375
transcript.pyannote[1185].speaker SPEAKER_25
transcript.pyannote[1185].start 6109.52346875
transcript.pyannote[1185].end 6112.78034375
transcript.pyannote[1186].speaker SPEAKER_25
transcript.pyannote[1186].start 6113.21909375
transcript.pyannote[1186].end 6119.22659375
transcript.pyannote[1187].speaker SPEAKER_25
transcript.pyannote[1187].start 6119.32784375
transcript.pyannote[1187].end 6125.09909375
transcript.pyannote[1188].speaker SPEAKER_25
transcript.pyannote[1188].start 6125.36909375
transcript.pyannote[1188].end 6126.65159375
transcript.pyannote[1189].speaker SPEAKER_25
transcript.pyannote[1189].start 6127.39409375
transcript.pyannote[1189].end 6128.13659375
transcript.pyannote[1190].speaker SPEAKER_25
transcript.pyannote[1190].start 6128.76096875
transcript.pyannote[1190].end 6138.43034375
transcript.pyannote[1191].speaker SPEAKER_25
transcript.pyannote[1191].start 6138.91971875
transcript.pyannote[1191].end 6178.05284375
transcript.pyannote[1192].speaker SPEAKER_36
transcript.pyannote[1192].start 6178.28909375
transcript.pyannote[1192].end 6182.52471875
transcript.pyannote[1193].speaker SPEAKER_33
transcript.pyannote[1193].start 6182.52471875
transcript.pyannote[1193].end 6182.92971875
transcript.pyannote[1194].speaker SPEAKER_36
transcript.pyannote[1194].start 6182.87909375
transcript.pyannote[1194].end 6188.43096875
transcript.pyannote[1195].speaker SPEAKER_36
transcript.pyannote[1195].start 6188.92034375
transcript.pyannote[1195].end 6199.12971875
transcript.pyannote[1196].speaker SPEAKER_00
transcript.pyannote[1196].start 6193.98284375
transcript.pyannote[1196].end 6194.05034375
transcript.pyannote[1197].speaker SPEAKER_00
transcript.pyannote[1197].start 6194.15159375
transcript.pyannote[1197].end 6194.20221875
transcript.pyannote[1198].speaker SPEAKER_36
transcript.pyannote[1198].start 6199.21409375
transcript.pyannote[1198].end 6203.65221875
transcript.pyannote[1199].speaker SPEAKER_39
transcript.pyannote[1199].start 6199.29846875
transcript.pyannote[1199].end 6199.65284375
transcript.pyannote[1200].speaker SPEAKER_25
transcript.pyannote[1200].start 6203.65221875
transcript.pyannote[1200].end 6215.97096875
transcript.pyannote[1201].speaker SPEAKER_36
transcript.pyannote[1201].start 6205.32284375
transcript.pyannote[1201].end 6206.11596875
transcript.pyannote[1202].speaker SPEAKER_36
transcript.pyannote[1202].start 6210.45284375
transcript.pyannote[1202].end 6210.87471875
transcript.pyannote[1203].speaker SPEAKER_36
transcript.pyannote[1203].start 6211.38096875
transcript.pyannote[1203].end 6212.51159375
transcript.pyannote[1204].speaker SPEAKER_36
transcript.pyannote[1204].start 6214.77284375
transcript.pyannote[1204].end 6215.12721875
transcript.pyannote[1205].speaker SPEAKER_36
transcript.pyannote[1205].start 6215.51534375
transcript.pyannote[1205].end 6215.56596875
transcript.pyannote[1206].speaker SPEAKER_36
transcript.pyannote[1206].start 6215.97096875
transcript.pyannote[1206].end 6216.51096875
transcript.pyannote[1207].speaker SPEAKER_25
transcript.pyannote[1207].start 6216.51096875
transcript.pyannote[1207].end 6219.86909375
transcript.pyannote[1208].speaker SPEAKER_36
transcript.pyannote[1208].start 6216.52784375
transcript.pyannote[1208].end 6218.19846875
transcript.pyannote[1209].speaker SPEAKER_25
transcript.pyannote[1209].start 6220.35846875
transcript.pyannote[1209].end 6220.39221875
transcript.pyannote[1210].speaker SPEAKER_36
transcript.pyannote[1210].start 6220.39221875
transcript.pyannote[1210].end 6226.63596875
transcript.pyannote[1211].speaker SPEAKER_25
transcript.pyannote[1211].start 6220.40909375
transcript.pyannote[1211].end 6221.26971875
transcript.pyannote[1212].speaker SPEAKER_25
transcript.pyannote[1212].start 6227.27721875
transcript.pyannote[1212].end 6229.25159375
transcript.pyannote[1213].speaker SPEAKER_39
transcript.pyannote[1213].start 6229.38659375
transcript.pyannote[1213].end 6229.43721875
transcript.pyannote[1214].speaker SPEAKER_25
transcript.pyannote[1214].start 6229.43721875
transcript.pyannote[1214].end 6235.57971875
transcript.pyannote[1215].speaker SPEAKER_36
transcript.pyannote[1215].start 6235.57971875
transcript.pyannote[1215].end 6248.30346875
transcript.pyannote[1216].speaker SPEAKER_25
transcript.pyannote[1216].start 6235.69784375
transcript.pyannote[1216].end 6235.96784375
transcript.pyannote[1217].speaker SPEAKER_25
transcript.pyannote[1217].start 6241.31721875
transcript.pyannote[1217].end 6241.77284375
transcript.pyannote[1218].speaker SPEAKER_25
transcript.pyannote[1218].start 6247.34159375
transcript.pyannote[1218].end 6250.27784375
transcript.pyannote[1219].speaker SPEAKER_36
transcript.pyannote[1219].start 6250.00784375
transcript.pyannote[1219].end 6256.38659375
transcript.pyannote[1220].speaker SPEAKER_25
transcript.pyannote[1220].start 6251.45909375
transcript.pyannote[1220].end 6254.76659375
transcript.pyannote[1221].speaker SPEAKER_25
transcript.pyannote[1221].start 6256.38659375
transcript.pyannote[1221].end 6256.75784375
transcript.pyannote[1222].speaker SPEAKER_36
transcript.pyannote[1222].start 6256.75784375
transcript.pyannote[1222].end 6258.63096875
transcript.pyannote[1223].speaker SPEAKER_25
transcript.pyannote[1223].start 6258.63096875
transcript.pyannote[1223].end 6272.51909375
transcript.pyannote[1224].speaker SPEAKER_36
transcript.pyannote[1224].start 6261.75284375
transcript.pyannote[1224].end 6263.00159375
transcript.pyannote[1225].speaker SPEAKER_00
transcript.pyannote[1225].start 6263.00159375
transcript.pyannote[1225].end 6263.06909375
transcript.pyannote[1226].speaker SPEAKER_36
transcript.pyannote[1226].start 6264.31784375
transcript.pyannote[1226].end 6264.97596875
transcript.pyannote[1227].speaker SPEAKER_00
transcript.pyannote[1227].start 6264.97596875
transcript.pyannote[1227].end 6265.60034375
transcript.pyannote[1228].speaker SPEAKER_25
transcript.pyannote[1228].start 6272.95784375
transcript.pyannote[1228].end 6274.22346875
transcript.pyannote[1229].speaker SPEAKER_36
transcript.pyannote[1229].start 6274.22346875
transcript.pyannote[1229].end 6280.28159375
transcript.pyannote[1230].speaker SPEAKER_25
transcript.pyannote[1230].start 6278.54346875
transcript.pyannote[1230].end 6278.84721875
transcript.pyannote[1231].speaker SPEAKER_25
transcript.pyannote[1231].start 6280.28159375
transcript.pyannote[1231].end 6288.46596875
transcript.pyannote[1232].speaker SPEAKER_36
transcript.pyannote[1232].start 6280.31534375
transcript.pyannote[1232].end 6280.82159375
transcript.pyannote[1233].speaker SPEAKER_25
transcript.pyannote[1233].start 6289.52909375
transcript.pyannote[1233].end 6293.30909375
transcript.pyannote[1234].speaker SPEAKER_36
transcript.pyannote[1234].start 6293.30909375
transcript.pyannote[1234].end 6293.76471875
transcript.pyannote[1235].speaker SPEAKER_25
transcript.pyannote[1235].start 6293.76471875
transcript.pyannote[1235].end 6330.33284375
transcript.pyannote[1236].speaker SPEAKER_36
transcript.pyannote[1236].start 6293.78159375
transcript.pyannote[1236].end 6296.09346875
transcript.pyannote[1237].speaker SPEAKER_25
transcript.pyannote[1237].start 6330.46784375
transcript.pyannote[1237].end 6339.86721875
transcript.pyannote[1238].speaker SPEAKER_36
transcript.pyannote[1238].start 6340.44096875
transcript.pyannote[1238].end 6349.48596875
transcript.pyannote[1239].speaker SPEAKER_33
transcript.pyannote[1239].start 6349.48596875
transcript.pyannote[1239].end 6349.77284375
transcript.pyannote[1240].speaker SPEAKER_36
transcript.pyannote[1240].start 6349.77284375
transcript.pyannote[1240].end 6382.20659375
transcript.pyannote[1241].speaker SPEAKER_33
transcript.pyannote[1241].start 6353.26596875
transcript.pyannote[1241].end 6353.78909375
transcript.pyannote[1242].speaker SPEAKER_00
transcript.pyannote[1242].start 6358.96971875
transcript.pyannote[1242].end 6359.02034375
transcript.pyannote[1243].speaker SPEAKER_33
transcript.pyannote[1243].start 6359.02034375
transcript.pyannote[1243].end 6359.32409375
transcript.pyannote[1244].speaker SPEAKER_00
transcript.pyannote[1244].start 6359.32409375
transcript.pyannote[1244].end 6359.35784375
transcript.pyannote[1245].speaker SPEAKER_25
transcript.pyannote[1245].start 6381.93659375
transcript.pyannote[1245].end 6383.55659375
transcript.pyannote[1246].speaker SPEAKER_36
transcript.pyannote[1246].start 6383.74221875
transcript.pyannote[1246].end 6384.11346875
transcript.pyannote[1247].speaker SPEAKER_25
transcript.pyannote[1247].start 6384.11346875
transcript.pyannote[1247].end 6385.51409375
transcript.pyannote[1248].speaker SPEAKER_36
transcript.pyannote[1248].start 6384.13034375
transcript.pyannote[1248].end 6384.33284375
transcript.pyannote[1249].speaker SPEAKER_36
transcript.pyannote[1249].start 6386.12159375
transcript.pyannote[1249].end 6391.99409375
transcript.pyannote[1250].speaker SPEAKER_25
transcript.pyannote[1250].start 6388.18034375
transcript.pyannote[1250].end 6388.78784375
transcript.pyannote[1251].speaker SPEAKER_25
transcript.pyannote[1251].start 6388.85534375
transcript.pyannote[1251].end 6389.61471875
transcript.pyannote[1252].speaker SPEAKER_25
transcript.pyannote[1252].start 6392.41596875
transcript.pyannote[1252].end 6395.13284375
transcript.pyannote[1253].speaker SPEAKER_36
transcript.pyannote[1253].start 6392.44971875
transcript.pyannote[1253].end 6393.78284375
transcript.pyannote[1254].speaker SPEAKER_36
transcript.pyannote[1254].start 6394.91346875
transcript.pyannote[1254].end 6396.19596875
transcript.pyannote[1255].speaker SPEAKER_25
transcript.pyannote[1255].start 6395.65596875
transcript.pyannote[1255].end 6398.50784375
transcript.pyannote[1256].speaker SPEAKER_36
transcript.pyannote[1256].start 6399.08159375
transcript.pyannote[1256].end 6402.45659375
transcript.pyannote[1257].speaker SPEAKER_36
transcript.pyannote[1257].start 6402.86159375
transcript.pyannote[1257].end 6411.23159375
transcript.pyannote[1258].speaker SPEAKER_25
transcript.pyannote[1258].start 6407.94096875
transcript.pyannote[1258].end 6408.61596875
transcript.pyannote[1259].speaker SPEAKER_36
transcript.pyannote[1259].start 6411.53534375
transcript.pyannote[1259].end 6413.34096875
transcript.pyannote[1260].speaker SPEAKER_25
transcript.pyannote[1260].start 6413.34096875
transcript.pyannote[1260].end 6418.62284375
transcript.pyannote[1261].speaker SPEAKER_36
transcript.pyannote[1261].start 6413.50971875
transcript.pyannote[1261].end 6414.91034375
transcript.pyannote[1262].speaker SPEAKER_36
transcript.pyannote[1262].start 6416.64846875
transcript.pyannote[1262].end 6417.08721875
transcript.pyannote[1263].speaker SPEAKER_36
transcript.pyannote[1263].start 6418.40346875
transcript.pyannote[1263].end 6420.42846875
transcript.pyannote[1264].speaker SPEAKER_36
transcript.pyannote[1264].start 6420.68159375
transcript.pyannote[1264].end 6429.47346875
transcript.pyannote[1265].speaker SPEAKER_36
transcript.pyannote[1265].start 6429.91221875
transcript.pyannote[1265].end 6430.80659375
transcript.pyannote[1266].speaker SPEAKER_36
transcript.pyannote[1266].start 6431.48159375
transcript.pyannote[1266].end 6434.28284375
transcript.pyannote[1267].speaker SPEAKER_25
transcript.pyannote[1267].start 6432.57846875
transcript.pyannote[1267].end 6432.81471875
transcript.pyannote[1268].speaker SPEAKER_36
transcript.pyannote[1268].start 6434.50221875
transcript.pyannote[1268].end 6440.18909375
transcript.pyannote[1269].speaker SPEAKER_25
transcript.pyannote[1269].start 6440.03721875
transcript.pyannote[1269].end 6440.45909375
transcript.pyannote[1270].speaker SPEAKER_25
transcript.pyannote[1270].start 6440.86409375
transcript.pyannote[1270].end 6455.54534375
transcript.pyannote[1271].speaker SPEAKER_36
transcript.pyannote[1271].start 6448.67721875
transcript.pyannote[1271].end 6448.87971875
transcript.pyannote[1272].speaker SPEAKER_39
transcript.pyannote[1272].start 6448.87971875
transcript.pyannote[1272].end 6448.96409375
transcript.pyannote[1273].speaker SPEAKER_36
transcript.pyannote[1273].start 6448.96409375
transcript.pyannote[1273].end 6449.36909375
transcript.pyannote[1274].speaker SPEAKER_36
transcript.pyannote[1274].start 6450.31409375
transcript.pyannote[1274].end 6451.12409375
transcript.pyannote[1275].speaker SPEAKER_36
transcript.pyannote[1275].start 6455.54534375
transcript.pyannote[1275].end 6463.30784375
transcript.pyannote[1276].speaker SPEAKER_25
transcript.pyannote[1276].start 6458.11034375
transcript.pyannote[1276].end 6458.36346875
transcript.pyannote[1277].speaker SPEAKER_37
transcript.pyannote[1277].start 6463.20659375
transcript.pyannote[1277].end 6463.27409375
transcript.pyannote[1278].speaker SPEAKER_37
transcript.pyannote[1278].start 6463.30784375
transcript.pyannote[1278].end 6463.35846875
transcript.pyannote[1279].speaker SPEAKER_36
transcript.pyannote[1279].start 6463.35846875
transcript.pyannote[1279].end 6469.18034375
transcript.pyannote[1280].speaker SPEAKER_37
transcript.pyannote[1280].start 6463.37534375
transcript.pyannote[1280].end 6463.49346875
transcript.pyannote[1281].speaker SPEAKER_36
transcript.pyannote[1281].start 6469.80471875
transcript.pyannote[1281].end 6489.36284375
transcript.pyannote[1282].speaker SPEAKER_00
transcript.pyannote[1282].start 6475.59284375
transcript.pyannote[1282].end 6475.60971875
transcript.pyannote[1283].speaker SPEAKER_33
transcript.pyannote[1283].start 6475.60971875
transcript.pyannote[1283].end 6475.79534375
transcript.pyannote[1284].speaker SPEAKER_00
transcript.pyannote[1284].start 6475.79534375
transcript.pyannote[1284].end 6475.82909375
transcript.pyannote[1285].speaker SPEAKER_33
transcript.pyannote[1285].start 6476.23409375
transcript.pyannote[1285].end 6476.68971875
transcript.pyannote[1286].speaker SPEAKER_33
transcript.pyannote[1286].start 6478.61346875
transcript.pyannote[1286].end 6478.64721875
transcript.pyannote[1287].speaker SPEAKER_33
transcript.pyannote[1287].start 6478.74846875
transcript.pyannote[1287].end 6478.88346875
transcript.pyannote[1288].speaker SPEAKER_36
transcript.pyannote[1288].start 6490.07159375
transcript.pyannote[1288].end 6506.98034375
transcript.pyannote[1289].speaker SPEAKER_00
transcript.pyannote[1289].start 6498.18846875
transcript.pyannote[1289].end 6498.20534375
transcript.pyannote[1290].speaker SPEAKER_25
transcript.pyannote[1290].start 6498.20534375
transcript.pyannote[1290].end 6498.52596875
transcript.pyannote[1291].speaker SPEAKER_25
transcript.pyannote[1291].start 6503.03159375
transcript.pyannote[1291].end 6503.04846875
transcript.pyannote[1292].speaker SPEAKER_04
transcript.pyannote[1292].start 6503.04846875
transcript.pyannote[1292].end 6503.36909375
transcript.pyannote[1293].speaker SPEAKER_25
transcript.pyannote[1293].start 6503.36909375
transcript.pyannote[1293].end 6503.38596875
transcript.pyannote[1294].speaker SPEAKER_04
transcript.pyannote[1294].start 6507.36846875
transcript.pyannote[1294].end 6508.07721875
transcript.pyannote[1295].speaker SPEAKER_04
transcript.pyannote[1295].start 6508.14471875
transcript.pyannote[1295].end 6509.27534375
transcript.pyannote[1296].speaker SPEAKER_34
transcript.pyannote[1296].start 6517.00409375
transcript.pyannote[1296].end 6520.41284375
transcript.pyannote[1297].speaker SPEAKER_05
transcript.pyannote[1297].start 6526.99409375
transcript.pyannote[1297].end 6530.06534375
transcript.pyannote[1298].speaker SPEAKER_33
transcript.pyannote[1298].start 6538.67159375
transcript.pyannote[1298].end 6539.27909375
transcript.pyannote[1299].speaker SPEAKER_05
transcript.pyannote[1299].start 6540.12284375
transcript.pyannote[1299].end 6545.70846875
transcript.pyannote[1300].speaker SPEAKER_05
transcript.pyannote[1300].start 6546.16409375
transcript.pyannote[1300].end 6553.04909375
transcript.pyannote[1301].speaker SPEAKER_05
transcript.pyannote[1301].start 6553.36971875
transcript.pyannote[1301].end 6565.57034375
transcript.pyannote[1302].speaker SPEAKER_05
transcript.pyannote[1302].start 6566.11034375
transcript.pyannote[1302].end 6575.99909375
transcript.pyannote[1303].speaker SPEAKER_05
transcript.pyannote[1303].start 6576.35346875
transcript.pyannote[1303].end 6582.14159375
transcript.pyannote[1304].speaker SPEAKER_05
transcript.pyannote[1304].start 6582.37784375
transcript.pyannote[1304].end 6584.13284375
transcript.pyannote[1305].speaker SPEAKER_05
transcript.pyannote[1305].start 6584.47034375
transcript.pyannote[1305].end 6586.79909375
transcript.pyannote[1306].speaker SPEAKER_05
transcript.pyannote[1306].start 6586.96784375
transcript.pyannote[1306].end 6589.38096875
transcript.pyannote[1307].speaker SPEAKER_05
transcript.pyannote[1307].start 6590.19096875
transcript.pyannote[1307].end 6598.13909375
transcript.pyannote[1308].speaker SPEAKER_05
transcript.pyannote[1308].start 6598.57784375
transcript.pyannote[1308].end 6600.99096875
transcript.pyannote[1309].speaker SPEAKER_05
transcript.pyannote[1309].start 6601.39596875
transcript.pyannote[1309].end 6609.68159375
transcript.pyannote[1310].speaker SPEAKER_05
transcript.pyannote[1310].start 6610.18784375
transcript.pyannote[1310].end 6615.63846875
transcript.pyannote[1311].speaker SPEAKER_05
transcript.pyannote[1311].start 6615.85784375
transcript.pyannote[1311].end 6645.94596875
transcript.pyannote[1312].speaker SPEAKER_05
transcript.pyannote[1312].start 6646.30034375
transcript.pyannote[1312].end 6648.98346875
transcript.pyannote[1313].speaker SPEAKER_05
transcript.pyannote[1313].start 6649.20284375
transcript.pyannote[1313].end 6650.09721875
transcript.pyannote[1314].speaker SPEAKER_05
transcript.pyannote[1314].start 6650.77221875
transcript.pyannote[1314].end 6652.02096875
transcript.pyannote[1315].speaker SPEAKER_05
transcript.pyannote[1315].start 6652.37534375
transcript.pyannote[1315].end 6653.13471875
transcript.pyannote[1316].speaker SPEAKER_05
transcript.pyannote[1316].start 6653.59034375
transcript.pyannote[1316].end 6660.59346875
transcript.pyannote[1317].speaker SPEAKER_05
transcript.pyannote[1317].start 6660.82971875
transcript.pyannote[1317].end 6663.58034375
transcript.pyannote[1318].speaker SPEAKER_05
transcript.pyannote[1318].start 6663.98534375
transcript.pyannote[1318].end 6664.66034375
transcript.pyannote[1319].speaker SPEAKER_36
transcript.pyannote[1319].start 6665.09909375
transcript.pyannote[1319].end 6666.12846875
transcript.pyannote[1320].speaker SPEAKER_36
transcript.pyannote[1320].start 6666.17909375
transcript.pyannote[1320].end 6669.26721875
transcript.pyannote[1321].speaker SPEAKER_36
transcript.pyannote[1321].start 6669.57096875
transcript.pyannote[1321].end 6671.78159375
transcript.pyannote[1322].speaker SPEAKER_36
transcript.pyannote[1322].start 6672.10221875
transcript.pyannote[1322].end 6688.15034375
transcript.pyannote[1323].speaker SPEAKER_05
transcript.pyannote[1323].start 6688.15034375
transcript.pyannote[1323].end 6688.25159375
transcript.pyannote[1324].speaker SPEAKER_36
transcript.pyannote[1324].start 6688.25159375
transcript.pyannote[1324].end 6688.40346875
transcript.pyannote[1325].speaker SPEAKER_05
transcript.pyannote[1325].start 6688.40346875
transcript.pyannote[1325].end 6688.74096875
transcript.pyannote[1326].speaker SPEAKER_36
transcript.pyannote[1326].start 6688.74096875
transcript.pyannote[1326].end 6688.85909375
transcript.pyannote[1327].speaker SPEAKER_05
transcript.pyannote[1327].start 6688.85909375
transcript.pyannote[1327].end 6690.25971875
transcript.pyannote[1328].speaker SPEAKER_05
transcript.pyannote[1328].start 6691.55909375
transcript.pyannote[1328].end 6695.47409375
transcript.pyannote[1329].speaker SPEAKER_05
transcript.pyannote[1329].start 6696.21659375
transcript.pyannote[1329].end 6702.93284375
transcript.pyannote[1330].speaker SPEAKER_05
transcript.pyannote[1330].start 6703.48971875
transcript.pyannote[1330].end 6704.28284375
transcript.pyannote[1331].speaker SPEAKER_05
transcript.pyannote[1331].start 6705.02534375
transcript.pyannote[1331].end 6713.04096875
transcript.pyannote[1332].speaker SPEAKER_05
transcript.pyannote[1332].start 6713.90159375
transcript.pyannote[1332].end 6715.87596875
transcript.pyannote[1333].speaker SPEAKER_05
transcript.pyannote[1333].start 6716.87159375
transcript.pyannote[1333].end 6717.69846875
transcript.pyannote[1334].speaker SPEAKER_05
transcript.pyannote[1334].start 6718.22159375
transcript.pyannote[1334].end 6719.11596875
transcript.pyannote[1335].speaker SPEAKER_05
transcript.pyannote[1335].start 6719.35221875
transcript.pyannote[1335].end 6721.17471875
transcript.pyannote[1336].speaker SPEAKER_05
transcript.pyannote[1336].start 6721.51221875
transcript.pyannote[1336].end 6725.12346875
transcript.pyannote[1337].speaker SPEAKER_05
transcript.pyannote[1337].start 6725.51159375
transcript.pyannote[1337].end 6734.28659375
transcript.pyannote[1338].speaker SPEAKER_05
transcript.pyannote[1338].start 6734.64096875
transcript.pyannote[1338].end 6739.06221875
transcript.pyannote[1339].speaker SPEAKER_05
transcript.pyannote[1339].start 6739.48409375
transcript.pyannote[1339].end 6741.37409375
transcript.pyannote[1340].speaker SPEAKER_05
transcript.pyannote[1340].start 6742.09971875
transcript.pyannote[1340].end 6749.06909375
transcript.pyannote[1341].speaker SPEAKER_05
transcript.pyannote[1341].start 6749.96346875
transcript.pyannote[1341].end 6754.70534375
transcript.pyannote[1342].speaker SPEAKER_01
transcript.pyannote[1342].start 6749.99721875
transcript.pyannote[1342].end 6751.75221875
transcript.pyannote[1343].speaker SPEAKER_05
transcript.pyannote[1343].start 6755.07659375
transcript.pyannote[1343].end 6764.69534375
transcript.pyannote[1344].speaker SPEAKER_05
transcript.pyannote[1344].start 6765.35346875
transcript.pyannote[1344].end 6767.80034375
transcript.pyannote[1345].speaker SPEAKER_05
transcript.pyannote[1345].start 6768.39096875
transcript.pyannote[1345].end 6768.96471875
transcript.pyannote[1346].speaker SPEAKER_35
transcript.pyannote[1346].start 6768.96471875
transcript.pyannote[1346].end 6775.66409375
transcript.pyannote[1347].speaker SPEAKER_36
transcript.pyannote[1347].start 6773.65596875
transcript.pyannote[1347].end 6777.55409375
transcript.pyannote[1348].speaker SPEAKER_35
transcript.pyannote[1348].start 6777.55409375
transcript.pyannote[1348].end 6779.41034375
transcript.pyannote[1349].speaker SPEAKER_35
transcript.pyannote[1349].start 6780.16971875
transcript.pyannote[1349].end 6782.00909375
transcript.pyannote[1350].speaker SPEAKER_35
transcript.pyannote[1350].start 6782.43096875
transcript.pyannote[1350].end 6786.02534375
transcript.pyannote[1351].speaker SPEAKER_05
transcript.pyannote[1351].start 6786.02534375
transcript.pyannote[1351].end 6795.00284375
transcript.pyannote[1352].speaker SPEAKER_05
transcript.pyannote[1352].start 6795.32346875
transcript.pyannote[1352].end 6800.31846875
transcript.pyannote[1353].speaker SPEAKER_35
transcript.pyannote[1353].start 6796.72409375
transcript.pyannote[1353].end 6797.56784375
transcript.pyannote[1354].speaker SPEAKER_35
transcript.pyannote[1354].start 6800.31846875
transcript.pyannote[1354].end 6803.03534375
transcript.pyannote[1355].speaker SPEAKER_36
transcript.pyannote[1355].start 6803.03534375
transcript.pyannote[1355].end 6815.37096875
transcript.pyannote[1356].speaker SPEAKER_36
transcript.pyannote[1356].start 6815.57346875
transcript.pyannote[1356].end 6818.15534375
transcript.pyannote[1357].speaker SPEAKER_36
transcript.pyannote[1357].start 6818.44221875
transcript.pyannote[1357].end 6819.69096875
transcript.pyannote[1358].speaker SPEAKER_05
transcript.pyannote[1358].start 6819.25221875
transcript.pyannote[1358].end 6822.40784375
transcript.pyannote[1359].speaker SPEAKER_36
transcript.pyannote[1359].start 6822.40784375
transcript.pyannote[1359].end 6822.47534375
transcript.pyannote[1360].speaker SPEAKER_05
transcript.pyannote[1360].start 6822.47534375
transcript.pyannote[1360].end 6824.07846875
transcript.pyannote[1361].speaker SPEAKER_05
transcript.pyannote[1361].start 6824.31471875
transcript.pyannote[1361].end 6826.35659375
transcript.pyannote[1362].speaker SPEAKER_05
transcript.pyannote[1362].start 6826.79534375
transcript.pyannote[1362].end 6833.25846875
transcript.pyannote[1363].speaker SPEAKER_05
transcript.pyannote[1363].start 6833.32596875
transcript.pyannote[1363].end 6839.01284375
transcript.pyannote[1364].speaker SPEAKER_05
transcript.pyannote[1364].start 6839.16471875
transcript.pyannote[1364].end 6841.79721875
transcript.pyannote[1365].speaker SPEAKER_35
transcript.pyannote[1365].start 6839.36721875
transcript.pyannote[1365].end 6840.24471875
transcript.pyannote[1366].speaker SPEAKER_36
transcript.pyannote[1366].start 6841.02096875
transcript.pyannote[1366].end 6841.17284375
transcript.pyannote[1367].speaker SPEAKER_35
transcript.pyannote[1367].start 6841.17284375
transcript.pyannote[1367].end 6841.67909375
transcript.pyannote[1368].speaker SPEAKER_36
transcript.pyannote[1368].start 6841.67909375
transcript.pyannote[1368].end 6841.72971875
transcript.pyannote[1369].speaker SPEAKER_36
transcript.pyannote[1369].start 6841.79721875
transcript.pyannote[1369].end 6850.84221875
transcript.pyannote[1370].speaker SPEAKER_05
transcript.pyannote[1370].start 6849.40784375
transcript.pyannote[1370].end 6855.85409375
transcript.pyannote[1371].speaker SPEAKER_36
transcript.pyannote[1371].start 6855.85409375
transcript.pyannote[1371].end 6859.98846875
transcript.pyannote[1372].speaker SPEAKER_05
transcript.pyannote[1372].start 6857.84534375
transcript.pyannote[1372].end 6861.43971875
transcript.pyannote[1373].speaker SPEAKER_05
transcript.pyannote[1373].start 6861.55784375
transcript.pyannote[1373].end 6863.88659375
transcript.pyannote[1374].speaker SPEAKER_05
transcript.pyannote[1374].start 6864.29159375
transcript.pyannote[1374].end 6865.10159375
transcript.pyannote[1375].speaker SPEAKER_05
transcript.pyannote[1375].start 6865.60784375
transcript.pyannote[1375].end 6868.76346875
transcript.pyannote[1376].speaker SPEAKER_05
transcript.pyannote[1376].start 6868.86471875
transcript.pyannote[1376].end 6871.10909375
transcript.pyannote[1377].speaker SPEAKER_05
transcript.pyannote[1377].start 6871.69971875
transcript.pyannote[1377].end 6876.72846875
transcript.pyannote[1378].speaker SPEAKER_05
transcript.pyannote[1378].start 6877.13346875
transcript.pyannote[1378].end 6883.57971875
transcript.pyannote[1379].speaker SPEAKER_05
transcript.pyannote[1379].start 6884.17034375
transcript.pyannote[1379].end 6887.17409375
transcript.pyannote[1380].speaker SPEAKER_05
transcript.pyannote[1380].start 6887.54534375
transcript.pyannote[1380].end 6895.64534375
transcript.pyannote[1381].speaker SPEAKER_05
transcript.pyannote[1381].start 6896.03346875
transcript.pyannote[1381].end 6897.28221875
transcript.pyannote[1382].speaker SPEAKER_05
transcript.pyannote[1382].start 6898.09221875
transcript.pyannote[1382].end 6899.71221875
transcript.pyannote[1383].speaker SPEAKER_05
transcript.pyannote[1383].start 6900.33659375
transcript.pyannote[1383].end 6901.90596875
transcript.pyannote[1384].speaker SPEAKER_05
transcript.pyannote[1384].start 6902.86784375
transcript.pyannote[1384].end 6903.57659375
transcript.pyannote[1385].speaker SPEAKER_05
transcript.pyannote[1385].start 6903.81284375
transcript.pyannote[1385].end 6904.48784375
transcript.pyannote[1386].speaker SPEAKER_05
transcript.pyannote[1386].start 6905.14596875
transcript.pyannote[1386].end 6913.60034375
transcript.pyannote[1387].speaker SPEAKER_40
transcript.pyannote[1387].start 6913.81971875
transcript.pyannote[1387].end 6914.12346875
transcript.pyannote[1388].speaker SPEAKER_05
transcript.pyannote[1388].start 6914.12346875
transcript.pyannote[1388].end 6914.73096875
transcript.pyannote[1389].speaker SPEAKER_40
transcript.pyannote[1389].start 6914.14034375
transcript.pyannote[1389].end 6914.69721875
transcript.pyannote[1390].speaker SPEAKER_36
transcript.pyannote[1390].start 6914.69721875
transcript.pyannote[1390].end 6914.71409375
transcript.pyannote[1391].speaker SPEAKER_35
transcript.pyannote[1391].start 6914.73096875
transcript.pyannote[1391].end 6915.03471875
transcript.pyannote[1392].speaker SPEAKER_36
transcript.pyannote[1392].start 6915.03471875
transcript.pyannote[1392].end 6915.25409375
transcript.pyannote[1393].speaker SPEAKER_35
transcript.pyannote[1393].start 6915.82784375
transcript.pyannote[1393].end 6915.86159375
transcript.pyannote[1394].speaker SPEAKER_36
transcript.pyannote[1394].start 6915.86159375
transcript.pyannote[1394].end 6920.80596875
transcript.pyannote[1395].speaker SPEAKER_05
transcript.pyannote[1395].start 6920.35034375
transcript.pyannote[1395].end 6921.36284375
transcript.pyannote[1396].speaker SPEAKER_36
transcript.pyannote[1396].start 6921.36284375
transcript.pyannote[1396].end 6921.56534375
transcript.pyannote[1397].speaker SPEAKER_05
transcript.pyannote[1397].start 6921.56534375
transcript.pyannote[1397].end 6930.66096875
transcript.pyannote[1398].speaker SPEAKER_36
transcript.pyannote[1398].start 6929.69909375
transcript.pyannote[1398].end 6934.47471875
transcript.pyannote[1399].speaker SPEAKER_36
transcript.pyannote[1399].start 6934.82909375
transcript.pyannote[1399].end 6935.04846875
transcript.pyannote[1400].speaker SPEAKER_36
transcript.pyannote[1400].start 6935.28471875
transcript.pyannote[1400].end 6938.82846875
transcript.pyannote[1401].speaker SPEAKER_05
transcript.pyannote[1401].start 6935.60534375
transcript.pyannote[1401].end 6938.86221875
transcript.pyannote[1402].speaker SPEAKER_05
transcript.pyannote[1402].start 6938.96346875
transcript.pyannote[1402].end 6938.99721875
transcript.pyannote[1403].speaker SPEAKER_36
transcript.pyannote[1403].start 6938.99721875
transcript.pyannote[1403].end 6939.11534375
transcript.pyannote[1404].speaker SPEAKER_05
transcript.pyannote[1404].start 6939.11534375
transcript.pyannote[1404].end 6939.14909375
transcript.pyannote[1405].speaker SPEAKER_05
transcript.pyannote[1405].start 6939.67221875
transcript.pyannote[1405].end 6952.22721875
transcript.pyannote[1406].speaker SPEAKER_00
transcript.pyannote[1406].start 6948.90284375
transcript.pyannote[1406].end 6948.95346875
transcript.pyannote[1407].speaker SPEAKER_39
transcript.pyannote[1407].start 6948.95346875
transcript.pyannote[1407].end 6949.02096875
transcript.pyannote[1408].speaker SPEAKER_00
transcript.pyannote[1408].start 6949.02096875
transcript.pyannote[1408].end 6949.07159375
transcript.pyannote[1409].speaker SPEAKER_39
transcript.pyannote[1409].start 6949.07159375
transcript.pyannote[1409].end 6949.18971875
transcript.pyannote[1410].speaker SPEAKER_00
transcript.pyannote[1410].start 6949.18971875
transcript.pyannote[1410].end 6949.22346875
transcript.pyannote[1411].speaker SPEAKER_05
transcript.pyannote[1411].start 6952.69971875
transcript.pyannote[1411].end 6956.00721875
transcript.pyannote[1412].speaker SPEAKER_05
transcript.pyannote[1412].start 6956.69909375
transcript.pyannote[1412].end 6958.06596875
transcript.pyannote[1413].speaker SPEAKER_05
transcript.pyannote[1413].start 6958.33596875
transcript.pyannote[1413].end 6960.66471875
transcript.pyannote[1414].speaker SPEAKER_05
transcript.pyannote[1414].start 6961.54221875
transcript.pyannote[1414].end 6965.60909375
transcript.pyannote[1415].speaker SPEAKER_36
transcript.pyannote[1415].start 6965.77784375
transcript.pyannote[1415].end 6966.97596875
transcript.pyannote[1416].speaker SPEAKER_05
transcript.pyannote[1416].start 6967.46534375
transcript.pyannote[1416].end 6969.43971875
transcript.pyannote[1417].speaker SPEAKER_36
transcript.pyannote[1417].start 6968.84909375
transcript.pyannote[1417].end 6970.51971875
transcript.pyannote[1418].speaker SPEAKER_05
transcript.pyannote[1418].start 6969.81096875
transcript.pyannote[1418].end 6974.09721875
transcript.pyannote[1419].speaker SPEAKER_35
transcript.pyannote[1419].start 6974.19846875
transcript.pyannote[1419].end 6974.23221875
transcript.pyannote[1420].speaker SPEAKER_36
transcript.pyannote[1420].start 6974.23221875
transcript.pyannote[1420].end 6976.03784375
transcript.pyannote[1421].speaker SPEAKER_05
transcript.pyannote[1421].start 6975.63284375
transcript.pyannote[1421].end 6977.89409375
transcript.pyannote[1422].speaker SPEAKER_35
transcript.pyannote[1422].start 6977.89409375
transcript.pyannote[1422].end 6982.14659375
transcript.pyannote[1423].speaker SPEAKER_05
transcript.pyannote[1423].start 6979.69971875
transcript.pyannote[1423].end 6980.05409375
transcript.pyannote[1424].speaker SPEAKER_05
transcript.pyannote[1424].start 6980.61096875
transcript.pyannote[1424].end 6980.91471875
transcript.pyannote[1425].speaker SPEAKER_05
transcript.pyannote[1425].start 6982.19721875
transcript.pyannote[1425].end 6987.54659375
transcript.pyannote[1426].speaker SPEAKER_33
transcript.pyannote[1426].start 6987.54659375
transcript.pyannote[1426].end 6988.81221875
transcript.pyannote[1427].speaker SPEAKER_05
transcript.pyannote[1427].start 6987.85034375
transcript.pyannote[1427].end 7007.98221875
transcript.pyannote[1428].speaker SPEAKER_05
transcript.pyannote[1428].start 7008.77534375
transcript.pyannote[1428].end 7011.61034375
transcript.pyannote[1429].speaker SPEAKER_05
transcript.pyannote[1429].start 7011.93096875
transcript.pyannote[1429].end 7021.60034375
transcript.pyannote[1430].speaker SPEAKER_35
transcript.pyannote[1430].start 7018.29284375
transcript.pyannote[1430].end 7019.00159375
transcript.pyannote[1431].speaker SPEAKER_36
transcript.pyannote[1431].start 7019.38971875
transcript.pyannote[1431].end 7019.44034375
transcript.pyannote[1432].speaker SPEAKER_35
transcript.pyannote[1432].start 7019.44034375
transcript.pyannote[1432].end 7020.55409375
transcript.pyannote[1433].speaker SPEAKER_36
transcript.pyannote[1433].start 7020.55409375
transcript.pyannote[1433].end 7020.92534375
transcript.pyannote[1434].speaker SPEAKER_35
transcript.pyannote[1434].start 7020.92534375
transcript.pyannote[1434].end 7020.97596875
transcript.pyannote[1435].speaker SPEAKER_36
transcript.pyannote[1435].start 7021.60034375
transcript.pyannote[1435].end 7021.70159375
transcript.pyannote[1436].speaker SPEAKER_05
transcript.pyannote[1436].start 7021.70159375
transcript.pyannote[1436].end 7021.76909375
transcript.pyannote[1437].speaker SPEAKER_36
transcript.pyannote[1437].start 7021.76909375
transcript.pyannote[1437].end 7021.87034375
transcript.pyannote[1438].speaker SPEAKER_05
transcript.pyannote[1438].start 7021.87034375
transcript.pyannote[1438].end 7021.97159375
transcript.pyannote[1439].speaker SPEAKER_36
transcript.pyannote[1439].start 7021.97159375
transcript.pyannote[1439].end 7031.03346875
transcript.pyannote[1440].speaker SPEAKER_33
transcript.pyannote[1440].start 7029.27846875
transcript.pyannote[1440].end 7029.31221875
transcript.pyannote[1441].speaker SPEAKER_33
transcript.pyannote[1441].start 7029.66659375
transcript.pyannote[1441].end 7029.81846875
transcript.pyannote[1442].speaker SPEAKER_05
transcript.pyannote[1442].start 7029.81846875
transcript.pyannote[1442].end 7029.85221875
transcript.pyannote[1443].speaker SPEAKER_33
transcript.pyannote[1443].start 7029.85221875
transcript.pyannote[1443].end 7030.13909375
transcript.pyannote[1444].speaker SPEAKER_35
transcript.pyannote[1444].start 7030.32471875
transcript.pyannote[1444].end 7030.34159375
transcript.pyannote[1445].speaker SPEAKER_33
transcript.pyannote[1445].start 7030.34159375
transcript.pyannote[1445].end 7030.35846875
transcript.pyannote[1446].speaker SPEAKER_05
transcript.pyannote[1446].start 7030.35846875
transcript.pyannote[1446].end 7030.37534375
transcript.pyannote[1447].speaker SPEAKER_33
transcript.pyannote[1447].start 7030.37534375
transcript.pyannote[1447].end 7031.38784375
transcript.pyannote[1448].speaker SPEAKER_05
transcript.pyannote[1448].start 7031.03346875
transcript.pyannote[1448].end 7031.75909375
transcript.pyannote[1449].speaker SPEAKER_36
transcript.pyannote[1449].start 7031.38784375
transcript.pyannote[1449].end 7031.43846875
transcript.pyannote[1450].speaker SPEAKER_36
transcript.pyannote[1450].start 7032.72096875
transcript.pyannote[1450].end 7032.77159375
transcript.pyannote[1451].speaker SPEAKER_05
transcript.pyannote[1451].start 7032.77159375
transcript.pyannote[1451].end 7034.52659375
transcript.pyannote[1452].speaker SPEAKER_33
transcript.pyannote[1452].start 7034.52659375
transcript.pyannote[1452].end 7035.91034375
transcript.pyannote[1453].speaker SPEAKER_05
transcript.pyannote[1453].start 7035.06659375
transcript.pyannote[1453].end 7038.17159375
transcript.pyannote[1454].speaker SPEAKER_05
transcript.pyannote[1454].start 7038.52596875
transcript.pyannote[1454].end 7039.47096875
transcript.pyannote[1455].speaker SPEAKER_05
transcript.pyannote[1455].start 7039.75784375
transcript.pyannote[1455].end 7040.77034375
transcript.pyannote[1456].speaker SPEAKER_05
transcript.pyannote[1456].start 7041.12471875
transcript.pyannote[1456].end 7043.47034375
transcript.pyannote[1457].speaker SPEAKER_05
transcript.pyannote[1457].start 7044.61784375
transcript.pyannote[1457].end 7045.78221875
transcript.pyannote[1458].speaker SPEAKER_05
transcript.pyannote[1458].start 7046.65971875
transcript.pyannote[1458].end 7048.16159375
transcript.pyannote[1459].speaker SPEAKER_36
transcript.pyannote[1459].start 7046.69346875
transcript.pyannote[1459].end 7047.41909375
transcript.pyannote[1460].speaker SPEAKER_36
transcript.pyannote[1460].start 7048.81971875
transcript.pyannote[1460].end 7049.84909375
transcript.pyannote[1461].speaker SPEAKER_05
transcript.pyannote[1461].start 7049.19096875
transcript.pyannote[1461].end 7053.91596875
transcript.pyannote[1462].speaker SPEAKER_05
transcript.pyannote[1462].start 7054.57409375
transcript.pyannote[1462].end 7056.80159375
transcript.pyannote[1463].speaker SPEAKER_05
transcript.pyannote[1463].start 7056.91971875
transcript.pyannote[1463].end 7060.80096875
transcript.pyannote[1464].speaker SPEAKER_05
transcript.pyannote[1464].start 7061.10471875
transcript.pyannote[1464].end 7071.88784375
transcript.pyannote[1465].speaker SPEAKER_35
transcript.pyannote[1465].start 7072.15784375
transcript.pyannote[1465].end 7072.17471875
transcript.pyannote[1466].speaker SPEAKER_05
transcript.pyannote[1466].start 7072.17471875
transcript.pyannote[1466].end 7073.42346875
transcript.pyannote[1467].speaker SPEAKER_05
transcript.pyannote[1467].start 7084.61159375
transcript.pyannote[1467].end 7088.32409375
transcript.pyannote[1468].speaker SPEAKER_34
transcript.pyannote[1468].start 7096.03596875
transcript.pyannote[1468].end 7100.22096875
transcript.pyannote[1469].speaker SPEAKER_05
transcript.pyannote[1469].start 7100.67659375
transcript.pyannote[1469].end 7101.99284375
transcript.pyannote[1470].speaker SPEAKER_34
transcript.pyannote[1470].start 7108.62471875
transcript.pyannote[1470].end 7109.41784375
transcript.pyannote[1471].speaker SPEAKER_34
transcript.pyannote[1471].start 7109.60346875
transcript.pyannote[1471].end 7110.85221875
transcript.pyannote[1472].speaker SPEAKER_34
transcript.pyannote[1472].start 7111.52721875
transcript.pyannote[1472].end 7116.91034375
transcript.pyannote[1473].speaker SPEAKER_34
transcript.pyannote[1473].start 7117.41659375
transcript.pyannote[1473].end 7123.39034375
transcript.pyannote[1474].speaker SPEAKER_34
transcript.pyannote[1474].start 7124.11596875
transcript.pyannote[1474].end 7127.11971875
transcript.pyannote[1475].speaker SPEAKER_04
transcript.pyannote[1475].start 7128.90846875
transcript.pyannote[1475].end 7130.05596875
transcript.pyannote[1476].speaker SPEAKER_34
transcript.pyannote[1476].start 7136.40096875
transcript.pyannote[1476].end 7137.22784375
transcript.pyannote[1477].speaker SPEAKER_34
transcript.pyannote[1477].start 7137.46409375
transcript.pyannote[1477].end 7145.90159375
transcript.pyannote[1478].speaker SPEAKER_34
transcript.pyannote[1478].start 7146.32346875
transcript.pyannote[1478].end 7154.62596875
transcript.pyannote[1479].speaker SPEAKER_34
transcript.pyannote[1479].start 7155.16596875
transcript.pyannote[1479].end 7171.14659375
transcript.pyannote[1480].speaker SPEAKER_34
transcript.pyannote[1480].start 7172.37846875
transcript.pyannote[1480].end 7173.94784375
transcript.pyannote[1481].speaker SPEAKER_34
transcript.pyannote[1481].start 7174.26846875
transcript.pyannote[1481].end 7174.45409375
transcript.pyannote[1482].speaker SPEAKER_17
transcript.pyannote[1482].start 7174.45409375
transcript.pyannote[1482].end 7174.47096875
transcript.pyannote[1483].speaker SPEAKER_34
transcript.pyannote[1483].start 7174.47096875
transcript.pyannote[1483].end 7174.48784375
transcript.pyannote[1484].speaker SPEAKER_17
transcript.pyannote[1484].start 7174.48784375
transcript.pyannote[1484].end 7174.53846875
transcript.pyannote[1485].speaker SPEAKER_34
transcript.pyannote[1485].start 7174.53846875
transcript.pyannote[1485].end 7180.15784375
transcript.pyannote[1486].speaker SPEAKER_17
transcript.pyannote[1486].start 7174.63971875
transcript.pyannote[1486].end 7176.69846875
transcript.pyannote[1487].speaker SPEAKER_17
transcript.pyannote[1487].start 7177.62659375
transcript.pyannote[1487].end 7178.03159375
transcript.pyannote[1488].speaker SPEAKER_17
transcript.pyannote[1488].start 7179.58409375
transcript.pyannote[1488].end 7191.70034375
transcript.pyannote[1489].speaker SPEAKER_34
transcript.pyannote[1489].start 7191.21096875
transcript.pyannote[1489].end 7202.16284375
transcript.pyannote[1490].speaker SPEAKER_17
transcript.pyannote[1490].start 7192.81409375
transcript.pyannote[1490].end 7193.28659375
transcript.pyannote[1491].speaker SPEAKER_17
transcript.pyannote[1491].start 7195.49721875
transcript.pyannote[1491].end 7196.10471875
transcript.pyannote[1492].speaker SPEAKER_17
transcript.pyannote[1492].start 7197.72471875
transcript.pyannote[1492].end 7198.93971875
transcript.pyannote[1493].speaker SPEAKER_33
transcript.pyannote[1493].start 7198.93971875
transcript.pyannote[1493].end 7200.77909375
transcript.pyannote[1494].speaker SPEAKER_36
transcript.pyannote[1494].start 7200.77909375
transcript.pyannote[1494].end 7200.79596875
transcript.pyannote[1495].speaker SPEAKER_37
transcript.pyannote[1495].start 7202.55096875
transcript.pyannote[1495].end 7202.56784375
transcript.pyannote[1496].speaker SPEAKER_36
transcript.pyannote[1496].start 7202.56784375
transcript.pyannote[1496].end 7208.50784375
transcript.pyannote[1497].speaker SPEAKER_34
transcript.pyannote[1497].start 7203.36096875
transcript.pyannote[1497].end 7205.18346875
transcript.pyannote[1498].speaker SPEAKER_34
transcript.pyannote[1498].start 7205.55471875
transcript.pyannote[1498].end 7207.12409375
transcript.pyannote[1499].speaker SPEAKER_36
transcript.pyannote[1499].start 7208.96346875
transcript.pyannote[1499].end 7211.46096875
transcript.pyannote[1500].speaker SPEAKER_34
transcript.pyannote[1500].start 7210.53284375
transcript.pyannote[1500].end 7220.77596875
transcript.pyannote[1501].speaker SPEAKER_36
transcript.pyannote[1501].start 7211.69721875
transcript.pyannote[1501].end 7211.89971875
transcript.pyannote[1502].speaker SPEAKER_36
transcript.pyannote[1502].start 7212.45659375
transcript.pyannote[1502].end 7212.99659375
transcript.pyannote[1503].speaker SPEAKER_36
transcript.pyannote[1503].start 7214.32971875
transcript.pyannote[1503].end 7215.35909375
transcript.pyannote[1504].speaker SPEAKER_00
transcript.pyannote[1504].start 7215.35909375
transcript.pyannote[1504].end 7215.37596875
transcript.pyannote[1505].speaker SPEAKER_36
transcript.pyannote[1505].start 7215.37596875
transcript.pyannote[1505].end 7215.39284375
transcript.pyannote[1506].speaker SPEAKER_00
transcript.pyannote[1506].start 7215.89909375
transcript.pyannote[1506].end 7216.01721875
transcript.pyannote[1507].speaker SPEAKER_36
transcript.pyannote[1507].start 7216.01721875
transcript.pyannote[1507].end 7216.06784375
transcript.pyannote[1508].speaker SPEAKER_39
transcript.pyannote[1508].start 7216.06784375
transcript.pyannote[1508].end 7216.10159375
transcript.pyannote[1509].speaker SPEAKER_36
transcript.pyannote[1509].start 7216.10159375
transcript.pyannote[1509].end 7217.50221875
transcript.pyannote[1510].speaker SPEAKER_00
transcript.pyannote[1510].start 7217.50221875
transcript.pyannote[1510].end 7217.51909375
transcript.pyannote[1511].speaker SPEAKER_34
transcript.pyannote[1511].start 7220.89409375
transcript.pyannote[1511].end 7222.66596875
transcript.pyannote[1512].speaker SPEAKER_34
transcript.pyannote[1512].start 7223.91471875
transcript.pyannote[1512].end 7225.92284375
transcript.pyannote[1513].speaker SPEAKER_05
transcript.pyannote[1513].start 7226.47971875
transcript.pyannote[1513].end 7228.03221875
transcript.pyannote[1514].speaker SPEAKER_34
transcript.pyannote[1514].start 7231.35659375
transcript.pyannote[1514].end 7233.38159375
transcript.pyannote[1515].speaker SPEAKER_34
transcript.pyannote[1515].start 7234.00596875
transcript.pyannote[1515].end 7241.39721875
transcript.pyannote[1516].speaker SPEAKER_34
transcript.pyannote[1516].start 7241.97096875
transcript.pyannote[1516].end 7245.70034375
transcript.pyannote[1517].speaker SPEAKER_43
transcript.pyannote[1517].start 7245.97034375
transcript.pyannote[1517].end 7249.71659375
transcript.pyannote[1518].speaker SPEAKER_34
transcript.pyannote[1518].start 7249.51409375
transcript.pyannote[1518].end 7250.42534375
transcript.pyannote[1519].speaker SPEAKER_43
transcript.pyannote[1519].start 7250.67846875
transcript.pyannote[1519].end 7251.43784375
transcript.pyannote[1520].speaker SPEAKER_34
transcript.pyannote[1520].start 7251.43784375
transcript.pyannote[1520].end 7251.45471875
transcript.pyannote[1521].speaker SPEAKER_43
transcript.pyannote[1521].start 7252.01159375
transcript.pyannote[1521].end 7252.02846875
transcript.pyannote[1522].speaker SPEAKER_34
transcript.pyannote[1522].start 7252.02846875
transcript.pyannote[1522].end 7254.28971875
transcript.pyannote[1523].speaker SPEAKER_34
transcript.pyannote[1523].start 7254.86346875
transcript.pyannote[1523].end 7257.79971875
transcript.pyannote[1524].speaker SPEAKER_34
transcript.pyannote[1524].start 7258.17096875
transcript.pyannote[1524].end 7262.27159375
transcript.pyannote[1525].speaker SPEAKER_34
transcript.pyannote[1525].start 7262.59221875
transcript.pyannote[1525].end 7283.58471875
transcript.pyannote[1526].speaker SPEAKER_34
transcript.pyannote[1526].start 7284.49596875
transcript.pyannote[1526].end 7285.62659375
transcript.pyannote[1527].speaker SPEAKER_36
transcript.pyannote[1527].start 7288.95096875
transcript.pyannote[1527].end 7296.03846875
transcript.pyannote[1528].speaker SPEAKER_34
transcript.pyannote[1528].start 7296.03846875
transcript.pyannote[1528].end 7301.40471875
transcript.pyannote[1529].speaker SPEAKER_37
transcript.pyannote[1529].start 7301.40471875
transcript.pyannote[1529].end 7301.52284375
transcript.pyannote[1530].speaker SPEAKER_34
transcript.pyannote[1530].start 7302.16409375
transcript.pyannote[1530].end 7306.39971875
transcript.pyannote[1531].speaker SPEAKER_34
transcript.pyannote[1531].start 7306.87221875
transcript.pyannote[1531].end 7311.19221875
transcript.pyannote[1532].speaker SPEAKER_34
transcript.pyannote[1532].start 7311.85034375
transcript.pyannote[1532].end 7315.54596875
transcript.pyannote[1533].speaker SPEAKER_34
transcript.pyannote[1533].start 7315.81596875
transcript.pyannote[1533].end 7316.65971875
transcript.pyannote[1534].speaker SPEAKER_34
transcript.pyannote[1534].start 7316.91284375
transcript.pyannote[1534].end 7319.39346875
transcript.pyannote[1535].speaker SPEAKER_34
transcript.pyannote[1535].start 7319.93346875
transcript.pyannote[1535].end 7326.95346875
transcript.pyannote[1536].speaker SPEAKER_36
transcript.pyannote[1536].start 7322.27909375
transcript.pyannote[1536].end 7322.76846875
transcript.pyannote[1537].speaker SPEAKER_36
transcript.pyannote[1537].start 7326.86909375
transcript.pyannote[1537].end 7328.80971875
transcript.pyannote[1538].speaker SPEAKER_34
transcript.pyannote[1538].start 7327.78034375
transcript.pyannote[1538].end 7330.80096875
transcript.pyannote[1539].speaker SPEAKER_34
transcript.pyannote[1539].start 7331.29034375
transcript.pyannote[1539].end 7334.17596875
transcript.pyannote[1540].speaker SPEAKER_34
transcript.pyannote[1540].start 7334.36159375
transcript.pyannote[1540].end 7336.04909375
transcript.pyannote[1541].speaker SPEAKER_34
transcript.pyannote[1541].start 7336.70721875
transcript.pyannote[1541].end 7339.23846875
transcript.pyannote[1542].speaker SPEAKER_34
transcript.pyannote[1542].start 7339.96409375
transcript.pyannote[1542].end 7341.71909375
transcript.pyannote[1543].speaker SPEAKER_34
transcript.pyannote[1543].start 7341.87096875
transcript.pyannote[1543].end 7341.90471875
transcript.pyannote[1544].speaker SPEAKER_36
transcript.pyannote[1544].start 7341.90471875
transcript.pyannote[1544].end 7341.92159375
transcript.pyannote[1545].speaker SPEAKER_34
transcript.pyannote[1545].start 7341.92159375
transcript.pyannote[1545].end 7341.97221875
transcript.pyannote[1546].speaker SPEAKER_36
transcript.pyannote[1546].start 7341.97221875
transcript.pyannote[1546].end 7341.98909375
transcript.pyannote[1547].speaker SPEAKER_34
transcript.pyannote[1547].start 7341.98909375
transcript.pyannote[1547].end 7355.45534375
transcript.pyannote[1548].speaker SPEAKER_37
transcript.pyannote[1548].start 7355.52284375
transcript.pyannote[1548].end 7355.80971875
transcript.pyannote[1549].speaker SPEAKER_34
transcript.pyannote[1549].start 7355.82659375
transcript.pyannote[1549].end 7360.77096875
transcript.pyannote[1550].speaker SPEAKER_36
transcript.pyannote[1550].start 7359.82596875
transcript.pyannote[1550].end 7360.70346875
transcript.pyannote[1551].speaker SPEAKER_36
transcript.pyannote[1551].start 7360.77096875
transcript.pyannote[1551].end 7368.06096875
transcript.pyannote[1552].speaker SPEAKER_34
transcript.pyannote[1552].start 7368.06096875
transcript.pyannote[1552].end 7369.34346875
transcript.pyannote[1553].speaker SPEAKER_37
transcript.pyannote[1553].start 7369.34346875
transcript.pyannote[1553].end 7369.42784375
transcript.pyannote[1554].speaker SPEAKER_34
transcript.pyannote[1554].start 7369.42784375
transcript.pyannote[1554].end 7383.45096875
transcript.pyannote[1555].speaker SPEAKER_36
transcript.pyannote[1555].start 7383.28221875
transcript.pyannote[1555].end 7384.51409375
transcript.pyannote[1556].speaker SPEAKER_34
transcript.pyannote[1556].start 7384.51409375
transcript.pyannote[1556].end 7388.09159375
transcript.pyannote[1557].speaker SPEAKER_36
transcript.pyannote[1557].start 7385.07096875
transcript.pyannote[1557].end 7385.17221875
transcript.pyannote[1558].speaker SPEAKER_34
transcript.pyannote[1558].start 7388.27721875
transcript.pyannote[1558].end 7389.23909375
transcript.pyannote[1559].speaker SPEAKER_34
transcript.pyannote[1559].start 7391.01096875
transcript.pyannote[1559].end 7391.78721875
transcript.pyannote[1560].speaker SPEAKER_34
transcript.pyannote[1560].start 7391.97284375
transcript.pyannote[1560].end 7393.82909375
transcript.pyannote[1561].speaker SPEAKER_34
transcript.pyannote[1561].start 7394.79096875
transcript.pyannote[1561].end 7396.46159375
transcript.pyannote[1562].speaker SPEAKER_34
transcript.pyannote[1562].start 7397.47409375
transcript.pyannote[1562].end 7399.04346875
transcript.pyannote[1563].speaker SPEAKER_34
transcript.pyannote[1563].start 7399.93784375
transcript.pyannote[1563].end 7402.43534375
transcript.pyannote[1564].speaker SPEAKER_34
transcript.pyannote[1564].start 7402.84034375
transcript.pyannote[1564].end 7404.39284375
transcript.pyannote[1565].speaker SPEAKER_37
transcript.pyannote[1565].start 7404.39284375
transcript.pyannote[1565].end 7404.57846875
transcript.pyannote[1566].speaker SPEAKER_34
transcript.pyannote[1566].start 7404.67971875
transcript.pyannote[1566].end 7410.01221875
transcript.pyannote[1567].speaker SPEAKER_34
transcript.pyannote[1567].start 7410.16409375
transcript.pyannote[1567].end 7410.72096875
transcript.pyannote[1568].speaker SPEAKER_34
transcript.pyannote[1568].start 7411.32846875
transcript.pyannote[1568].end 7416.23909375
transcript.pyannote[1569].speaker SPEAKER_37
transcript.pyannote[1569].start 7416.23909375
transcript.pyannote[1569].end 7416.59346875
transcript.pyannote[1570].speaker SPEAKER_34
transcript.pyannote[1570].start 7416.59346875
transcript.pyannote[1570].end 7419.66471875
transcript.pyannote[1571].speaker SPEAKER_37
transcript.pyannote[1571].start 7419.79971875
transcript.pyannote[1571].end 7420.17096875
transcript.pyannote[1572].speaker SPEAKER_34
transcript.pyannote[1572].start 7420.40721875
transcript.pyannote[1572].end 7431.61221875
transcript.pyannote[1573].speaker SPEAKER_34
transcript.pyannote[1573].start 7432.62471875
transcript.pyannote[1573].end 7433.85659375
transcript.pyannote[1574].speaker SPEAKER_34
transcript.pyannote[1574].start 7434.61596875
transcript.pyannote[1574].end 7444.16721875
transcript.pyannote[1575].speaker SPEAKER_34
transcript.pyannote[1575].start 7444.36971875
transcript.pyannote[1575].end 7448.28471875
transcript.pyannote[1576].speaker SPEAKER_34
transcript.pyannote[1576].start 7449.38159375
transcript.pyannote[1576].end 7457.61659375
transcript.pyannote[1577].speaker SPEAKER_34
transcript.pyannote[1577].start 7458.51096875
transcript.pyannote[1577].end 7461.24471875
transcript.pyannote[1578].speaker SPEAKER_34
transcript.pyannote[1578].start 7462.08846875
transcript.pyannote[1578].end 7464.68721875
transcript.pyannote[1579].speaker SPEAKER_34
transcript.pyannote[1579].start 7465.32846875
transcript.pyannote[1579].end 7468.70346875
transcript.pyannote[1580].speaker SPEAKER_34
transcript.pyannote[1580].start 7469.42909375
transcript.pyannote[1580].end 7472.26409375
transcript.pyannote[1581].speaker SPEAKER_34
transcript.pyannote[1581].start 7472.68596875
transcript.pyannote[1581].end 7477.24221875
transcript.pyannote[1582].speaker SPEAKER_34
transcript.pyannote[1582].start 7478.27159375
transcript.pyannote[1582].end 7483.50284375
transcript.pyannote[1583].speaker SPEAKER_36
transcript.pyannote[1583].start 7484.21159375
transcript.pyannote[1583].end 7487.70471875
transcript.pyannote[1584].speaker SPEAKER_34
transcript.pyannote[1584].start 7487.01284375
transcript.pyannote[1584].end 7491.07971875
transcript.pyannote[1585].speaker SPEAKER_36
transcript.pyannote[1585].start 7491.13034375
transcript.pyannote[1585].end 7497.77909375
transcript.pyannote[1586].speaker SPEAKER_34
transcript.pyannote[1586].start 7494.40409375
transcript.pyannote[1586].end 7499.11221875
transcript.pyannote[1587].speaker SPEAKER_36
transcript.pyannote[1587].start 7499.11221875
transcript.pyannote[1587].end 7502.45346875
transcript.pyannote[1588].speaker SPEAKER_36
transcript.pyannote[1588].start 7502.58846875
transcript.pyannote[1588].end 7505.06909375
transcript.pyannote[1589].speaker SPEAKER_36
transcript.pyannote[1589].start 7505.62596875
transcript.pyannote[1589].end 7507.24596875
transcript.pyannote[1590].speaker SPEAKER_34
transcript.pyannote[1590].start 7505.74409375
transcript.pyannote[1590].end 7509.69284375
transcript.pyannote[1591].speaker SPEAKER_36
transcript.pyannote[1591].start 7507.87034375
transcript.pyannote[1591].end 7508.27534375
transcript.pyannote[1592].speaker SPEAKER_34
transcript.pyannote[1592].start 7511.04284375
transcript.pyannote[1592].end 7516.18971875
transcript.pyannote[1593].speaker SPEAKER_37
transcript.pyannote[1593].start 7516.18971875
transcript.pyannote[1593].end 7516.88159375
transcript.pyannote[1594].speaker SPEAKER_34
transcript.pyannote[1594].start 7516.88159375
transcript.pyannote[1594].end 7524.20534375
transcript.pyannote[1595].speaker SPEAKER_37
transcript.pyannote[1595].start 7516.89846875
transcript.pyannote[1595].end 7516.91534375
transcript.pyannote[1596].speaker SPEAKER_34
transcript.pyannote[1596].start 7524.94784375
transcript.pyannote[1596].end 7527.19221875
transcript.pyannote[1597].speaker SPEAKER_37
transcript.pyannote[1597].start 7527.69846875
transcript.pyannote[1597].end 7528.15409375
transcript.pyannote[1598].speaker SPEAKER_34
transcript.pyannote[1598].start 7527.86721875
transcript.pyannote[1598].end 7532.49096875
transcript.pyannote[1599].speaker SPEAKER_34
transcript.pyannote[1599].start 7532.60909375
transcript.pyannote[1599].end 7535.44409375
transcript.pyannote[1600].speaker SPEAKER_34
transcript.pyannote[1600].start 7536.23721875
transcript.pyannote[1600].end 7537.30034375
transcript.pyannote[1601].speaker SPEAKER_34
transcript.pyannote[1601].start 7537.87409375
transcript.pyannote[1601].end 7543.52721875
transcript.pyannote[1602].speaker SPEAKER_34
transcript.pyannote[1602].start 7545.02909375
transcript.pyannote[1602].end 7546.34534375
transcript.pyannote[1603].speaker SPEAKER_36
transcript.pyannote[1603].start 7546.83471875
transcript.pyannote[1603].end 7547.49284375
transcript.pyannote[1604].speaker SPEAKER_34
transcript.pyannote[1604].start 7547.59409375
transcript.pyannote[1604].end 7548.53909375
transcript.pyannote[1605].speaker SPEAKER_36
transcript.pyannote[1605].start 7548.79221875
transcript.pyannote[1605].end 7549.46721875
transcript.pyannote[1606].speaker SPEAKER_34
transcript.pyannote[1606].start 7549.46721875
transcript.pyannote[1606].end 7553.06159375
transcript.pyannote[1607].speaker SPEAKER_34
transcript.pyannote[1607].start 7553.73659375
transcript.pyannote[1607].end 7557.38159375
transcript.pyannote[1608].speaker SPEAKER_34
transcript.pyannote[1608].start 7557.98909375
transcript.pyannote[1608].end 7560.09846875
transcript.pyannote[1609].speaker SPEAKER_36
transcript.pyannote[1609].start 7561.43159375
transcript.pyannote[1609].end 7565.11034375
transcript.pyannote[1610].speaker SPEAKER_36
transcript.pyannote[1610].start 7565.70096875
transcript.pyannote[1610].end 7574.42534375
transcript.pyannote[1611].speaker SPEAKER_36
transcript.pyannote[1611].start 7574.72909375
transcript.pyannote[1611].end 7576.60221875
transcript.pyannote[1612].speaker SPEAKER_36
transcript.pyannote[1612].start 7577.00721875
transcript.pyannote[1612].end 7579.03221875
transcript.pyannote[1613].speaker SPEAKER_34
transcript.pyannote[1613].start 7579.03221875
transcript.pyannote[1613].end 7583.82471875
transcript.pyannote[1614].speaker SPEAKER_34
transcript.pyannote[1614].start 7584.02721875
transcript.pyannote[1614].end 7588.70159375
transcript.pyannote[1615].speaker SPEAKER_34
transcript.pyannote[1615].start 7589.46096875
transcript.pyannote[1615].end 7592.93721875
transcript.pyannote[1616].speaker SPEAKER_34
transcript.pyannote[1616].start 7593.74721875
transcript.pyannote[1616].end 7595.23221875
transcript.pyannote[1617].speaker SPEAKER_34
transcript.pyannote[1617].start 7595.67096875
transcript.pyannote[1617].end 7597.07159375
transcript.pyannote[1618].speaker SPEAKER_34
transcript.pyannote[1618].start 7597.49346875
transcript.pyannote[1618].end 7599.77159375
transcript.pyannote[1619].speaker SPEAKER_34
transcript.pyannote[1619].start 7600.44659375
transcript.pyannote[1619].end 7603.85534375
transcript.pyannote[1620].speaker SPEAKER_37
transcript.pyannote[1620].start 7604.26034375
transcript.pyannote[1620].end 7604.29409375
transcript.pyannote[1621].speaker SPEAKER_34
transcript.pyannote[1621].start 7604.29409375
transcript.pyannote[1621].end 7604.42909375
transcript.pyannote[1622].speaker SPEAKER_37
transcript.pyannote[1622].start 7604.42909375
transcript.pyannote[1622].end 7604.47971875
transcript.pyannote[1623].speaker SPEAKER_34
transcript.pyannote[1623].start 7605.12096875
transcript.pyannote[1623].end 7606.52159375
transcript.pyannote[1624].speaker SPEAKER_34
transcript.pyannote[1624].start 7606.58909375
transcript.pyannote[1624].end 7606.90971875
transcript.pyannote[1625].speaker SPEAKER_34
transcript.pyannote[1625].start 7607.46659375
transcript.pyannote[1625].end 7610.06534375
transcript.pyannote[1626].speaker SPEAKER_34
transcript.pyannote[1626].start 7610.47034375
transcript.pyannote[1626].end 7611.43221875
transcript.pyannote[1627].speaker SPEAKER_34
transcript.pyannote[1627].start 7612.64721875
transcript.pyannote[1627].end 7613.49096875
transcript.pyannote[1628].speaker SPEAKER_34
transcript.pyannote[1628].start 7614.03096875
transcript.pyannote[1628].end 7616.46096875
transcript.pyannote[1629].speaker SPEAKER_34
transcript.pyannote[1629].start 7616.98409375
transcript.pyannote[1629].end 7621.94534375
transcript.pyannote[1630].speaker SPEAKER_34
transcript.pyannote[1630].start 7622.40096875
transcript.pyannote[1630].end 7625.08409375
transcript.pyannote[1631].speaker SPEAKER_34
transcript.pyannote[1631].start 7625.79284375
transcript.pyannote[1631].end 7627.96971875
transcript.pyannote[1632].speaker SPEAKER_34
transcript.pyannote[1632].start 7629.74159375
transcript.pyannote[1632].end 7632.30659375
transcript.pyannote[1633].speaker SPEAKER_34
transcript.pyannote[1633].start 7633.20096875
transcript.pyannote[1633].end 7634.80409375
transcript.pyannote[1634].speaker SPEAKER_34
transcript.pyannote[1634].start 7635.10784375
transcript.pyannote[1634].end 7640.87909375
transcript.pyannote[1635].speaker SPEAKER_36
transcript.pyannote[1635].start 7641.77346875
transcript.pyannote[1635].end 7655.00346875
transcript.pyannote[1636].speaker SPEAKER_34
transcript.pyannote[1636].start 7648.38846875
transcript.pyannote[1636].end 7654.83471875
transcript.pyannote[1637].speaker SPEAKER_33
transcript.pyannote[1637].start 7655.00346875
transcript.pyannote[1637].end 7655.02034375
transcript.pyannote[1638].speaker SPEAKER_34
transcript.pyannote[1638].start 7655.67846875
transcript.pyannote[1638].end 7671.54096875
transcript.pyannote[1639].speaker SPEAKER_33
transcript.pyannote[1639].start 7659.01971875
transcript.pyannote[1639].end 7660.35284375
transcript.pyannote[1640].speaker SPEAKER_33
transcript.pyannote[1640].start 7661.29784375
transcript.pyannote[1640].end 7661.38221875
transcript.pyannote[1641].speaker SPEAKER_05
transcript.pyannote[1641].start 7671.54096875
transcript.pyannote[1641].end 7671.92909375
transcript.pyannote[1642].speaker SPEAKER_34
transcript.pyannote[1642].start 7671.92909375
transcript.pyannote[1642].end 7672.92471875
transcript.pyannote[1643].speaker SPEAKER_05
transcript.pyannote[1643].start 7671.94596875
transcript.pyannote[1643].end 7672.14846875
transcript.pyannote[1644].speaker SPEAKER_05
transcript.pyannote[1644].start 7673.21159375
transcript.pyannote[1644].end 7674.00471875
transcript.pyannote[1645].speaker SPEAKER_05
transcript.pyannote[1645].start 7677.46409375
transcript.pyannote[1645].end 7680.11346875
transcript.pyannote[1646].speaker SPEAKER_13
transcript.pyannote[1646].start 7684.65284375
transcript.pyannote[1646].end 7686.91409375
transcript.pyannote[1647].speaker SPEAKER_13
transcript.pyannote[1647].start 7687.25159375
transcript.pyannote[1647].end 7687.47096875
transcript.pyannote[1648].speaker SPEAKER_05
transcript.pyannote[1648].start 7687.47096875
transcript.pyannote[1648].end 7688.53409375
transcript.pyannote[1649].speaker SPEAKER_13
transcript.pyannote[1649].start 7694.38971875
transcript.pyannote[1649].end 7694.72721875
transcript.pyannote[1650].speaker SPEAKER_13
transcript.pyannote[1650].start 7695.46971875
transcript.pyannote[1650].end 7706.01659375
transcript.pyannote[1651].speaker SPEAKER_33
transcript.pyannote[1651].start 7696.02659375
transcript.pyannote[1651].end 7696.46534375
transcript.pyannote[1652].speaker SPEAKER_13
transcript.pyannote[1652].start 7706.40471875
transcript.pyannote[1652].end 7715.55096875
transcript.pyannote[1653].speaker SPEAKER_36
transcript.pyannote[1653].start 7714.97721875
transcript.pyannote[1653].end 7717.18784375
transcript.pyannote[1654].speaker SPEAKER_13
transcript.pyannote[1654].start 7717.18784375
transcript.pyannote[1654].end 7717.60971875
transcript.pyannote[1655].speaker SPEAKER_36
transcript.pyannote[1655].start 7717.69409375
transcript.pyannote[1655].end 7719.56721875
transcript.pyannote[1656].speaker SPEAKER_13
transcript.pyannote[1656].start 7718.79096875
transcript.pyannote[1656].end 7719.31409375
transcript.pyannote[1657].speaker SPEAKER_13
transcript.pyannote[1657].start 7719.44909375
transcript.pyannote[1657].end 7725.97971875
transcript.pyannote[1658].speaker SPEAKER_36
transcript.pyannote[1658].start 7725.20346875
transcript.pyannote[1658].end 7726.45221875
transcript.pyannote[1659].speaker SPEAKER_13
transcript.pyannote[1659].start 7726.28346875
transcript.pyannote[1659].end 7730.48534375
transcript.pyannote[1660].speaker SPEAKER_36
transcript.pyannote[1660].start 7729.55721875
transcript.pyannote[1660].end 7731.31221875
transcript.pyannote[1661].speaker SPEAKER_13
transcript.pyannote[1661].start 7730.73846875
transcript.pyannote[1661].end 7731.43034375
transcript.pyannote[1662].speaker SPEAKER_13
transcript.pyannote[1662].start 7731.64971875
transcript.pyannote[1662].end 7747.19159375
transcript.pyannote[1663].speaker SPEAKER_33
transcript.pyannote[1663].start 7737.96096875
transcript.pyannote[1663].end 7738.02846875
transcript.pyannote[1664].speaker SPEAKER_39
transcript.pyannote[1664].start 7738.02846875
transcript.pyannote[1664].end 7738.58534375
transcript.pyannote[1665].speaker SPEAKER_39
transcript.pyannote[1665].start 7747.14096875
transcript.pyannote[1665].end 7747.52909375
transcript.pyannote[1666].speaker SPEAKER_13
transcript.pyannote[1666].start 7747.41096875
transcript.pyannote[1666].end 7768.90971875
transcript.pyannote[1667].speaker SPEAKER_39
transcript.pyannote[1667].start 7750.51596875
transcript.pyannote[1667].end 7751.37659375
transcript.pyannote[1668].speaker SPEAKER_13
transcript.pyannote[1668].start 7768.99409375
transcript.pyannote[1668].end 7799.45346875
transcript.pyannote[1669].speaker SPEAKER_36
transcript.pyannote[1669].start 7798.66034375
transcript.pyannote[1669].end 7800.80346875
transcript.pyannote[1670].speaker SPEAKER_13
transcript.pyannote[1670].start 7800.80346875
transcript.pyannote[1670].end 7838.58659375
transcript.pyannote[1671].speaker SPEAKER_36
transcript.pyannote[1671].start 7834.95846875
transcript.pyannote[1671].end 7836.02159375
transcript.pyannote[1672].speaker SPEAKER_36
transcript.pyannote[1672].start 7838.19846875
transcript.pyannote[1672].end 7839.78471875
transcript.pyannote[1673].speaker SPEAKER_13
transcript.pyannote[1673].start 7839.31221875
transcript.pyannote[1673].end 7850.39909375
transcript.pyannote[1674].speaker SPEAKER_13
transcript.pyannote[1674].start 7850.68596875
transcript.pyannote[1674].end 7860.15284375
transcript.pyannote[1675].speaker SPEAKER_13
transcript.pyannote[1675].start 7860.45659375
transcript.pyannote[1675].end 7866.61596875
transcript.pyannote[1676].speaker SPEAKER_39
transcript.pyannote[1676].start 7861.73909375
transcript.pyannote[1676].end 7861.97534375
transcript.pyannote[1677].speaker SPEAKER_36
transcript.pyannote[1677].start 7861.97534375
transcript.pyannote[1677].end 7862.02596875
transcript.pyannote[1678].speaker SPEAKER_39
transcript.pyannote[1678].start 7862.02596875
transcript.pyannote[1678].end 7862.04284375
transcript.pyannote[1679].speaker SPEAKER_39
transcript.pyannote[1679].start 7863.40971875
transcript.pyannote[1679].end 7863.93284375
transcript.pyannote[1680].speaker SPEAKER_13
transcript.pyannote[1680].start 7866.85221875
transcript.pyannote[1680].end 7868.43846875
transcript.pyannote[1681].speaker SPEAKER_13
transcript.pyannote[1681].start 7869.63659375
transcript.pyannote[1681].end 7869.92346875
transcript.pyannote[1682].speaker SPEAKER_13
transcript.pyannote[1682].start 7870.63221875
transcript.pyannote[1682].end 7871.02034375
transcript.pyannote[1683].speaker SPEAKER_13
transcript.pyannote[1683].start 7871.08784375
transcript.pyannote[1683].end 7903.03221875
transcript.pyannote[1684].speaker SPEAKER_13
transcript.pyannote[1684].start 7903.60596875
transcript.pyannote[1684].end 7936.98471875
transcript.pyannote[1685].speaker SPEAKER_13
transcript.pyannote[1685].start 7937.57534375
transcript.pyannote[1685].end 7976.59034375
transcript.pyannote[1686].speaker SPEAKER_36
transcript.pyannote[1686].start 7976.59034375
transcript.pyannote[1686].end 7977.02909375
transcript.pyannote[1687].speaker SPEAKER_13
transcript.pyannote[1687].start 7977.02909375
transcript.pyannote[1687].end 7978.04159375
transcript.pyannote[1688].speaker SPEAKER_13
transcript.pyannote[1688].start 7978.05846875
transcript.pyannote[1688].end 7984.43721875
transcript.pyannote[1689].speaker SPEAKER_36
transcript.pyannote[1689].start 7983.91409375
transcript.pyannote[1689].end 7984.53846875
transcript.pyannote[1690].speaker SPEAKER_36
transcript.pyannote[1690].start 7984.87596875
transcript.pyannote[1690].end 7989.82034375
transcript.pyannote[1691].speaker SPEAKER_17
transcript.pyannote[1691].start 7989.29721875
transcript.pyannote[1691].end 7989.31409375
transcript.pyannote[1692].speaker SPEAKER_13
transcript.pyannote[1692].start 7989.31409375
transcript.pyannote[1692].end 7989.51659375
transcript.pyannote[1693].speaker SPEAKER_17
transcript.pyannote[1693].start 7989.51659375
transcript.pyannote[1693].end 7989.60096875
transcript.pyannote[1694].speaker SPEAKER_36
transcript.pyannote[1694].start 7989.83721875
transcript.pyannote[1694].end 8007.65721875
transcript.pyannote[1695].speaker SPEAKER_13
transcript.pyannote[1695].start 8006.69534375
transcript.pyannote[1695].end 8027.29971875
transcript.pyannote[1696].speaker SPEAKER_36
transcript.pyannote[1696].start 8014.17096875
transcript.pyannote[1696].end 8014.32284375
transcript.pyannote[1697].speaker SPEAKER_20
transcript.pyannote[1697].start 8020.43159375
transcript.pyannote[1697].end 8020.60034375
transcript.pyannote[1698].speaker SPEAKER_20
transcript.pyannote[1698].start 8020.68471875
transcript.pyannote[1698].end 8020.85346875
transcript.pyannote[1699].speaker SPEAKER_13
transcript.pyannote[1699].start 8027.62034375
transcript.pyannote[1699].end 8068.69409375
transcript.pyannote[1700].speaker SPEAKER_14
transcript.pyannote[1700].start 8030.08409375
transcript.pyannote[1700].end 8030.11784375
transcript.pyannote[1701].speaker SPEAKER_00
transcript.pyannote[1701].start 8040.46221875
transcript.pyannote[1701].end 8040.51284375
transcript.pyannote[1702].speaker SPEAKER_36
transcript.pyannote[1702].start 8040.51284375
transcript.pyannote[1702].end 8040.73221875
transcript.pyannote[1703].speaker SPEAKER_00
transcript.pyannote[1703].start 8040.73221875
transcript.pyannote[1703].end 8042.03159375
transcript.pyannote[1704].speaker SPEAKER_39
transcript.pyannote[1704].start 8042.03159375
transcript.pyannote[1704].end 8042.55471875
transcript.pyannote[1705].speaker SPEAKER_00
transcript.pyannote[1705].start 8042.55471875
transcript.pyannote[1705].end 8042.60534375
transcript.pyannote[1706].speaker SPEAKER_36
transcript.pyannote[1706].start 8068.17096875
transcript.pyannote[1706].end 8083.88159375
transcript.pyannote[1707].speaker SPEAKER_13
transcript.pyannote[1707].start 8083.88159375
transcript.pyannote[1707].end 8095.03596875
transcript.pyannote[1708].speaker SPEAKER_33
transcript.pyannote[1708].start 8095.03596875
transcript.pyannote[1708].end 8095.77846875
transcript.pyannote[1709].speaker SPEAKER_13
transcript.pyannote[1709].start 8095.77846875
transcript.pyannote[1709].end 8117.73284375
transcript.pyannote[1710].speaker SPEAKER_33
transcript.pyannote[1710].start 8096.20034375
transcript.pyannote[1710].end 8096.41971875
transcript.pyannote[1711].speaker SPEAKER_36
transcript.pyannote[1711].start 8105.26221875
transcript.pyannote[1711].end 8106.03846875
transcript.pyannote[1712].speaker SPEAKER_33
transcript.pyannote[1712].start 8106.03846875
transcript.pyannote[1712].end 8106.34221875
transcript.pyannote[1713].speaker SPEAKER_33
transcript.pyannote[1713].start 8106.44346875
transcript.pyannote[1713].end 8106.81471875
transcript.pyannote[1714].speaker SPEAKER_36
transcript.pyannote[1714].start 8106.81471875
transcript.pyannote[1714].end 8106.93284375
transcript.pyannote[1715].speaker SPEAKER_40
transcript.pyannote[1715].start 8109.63284375
transcript.pyannote[1715].end 8109.66659375
transcript.pyannote[1716].speaker SPEAKER_33
transcript.pyannote[1716].start 8109.66659375
transcript.pyannote[1716].end 8110.54409375
transcript.pyannote[1717].speaker SPEAKER_13
transcript.pyannote[1717].start 8118.12096875
transcript.pyannote[1717].end 8119.35284375
transcript.pyannote[1718].speaker SPEAKER_33
transcript.pyannote[1718].start 8119.13346875
transcript.pyannote[1718].end 8119.26846875
transcript.pyannote[1719].speaker SPEAKER_33
transcript.pyannote[1719].start 8119.35284375
transcript.pyannote[1719].end 8119.58909375
transcript.pyannote[1720].speaker SPEAKER_13
transcript.pyannote[1720].start 8119.58909375
transcript.pyannote[1720].end 8121.24284375
transcript.pyannote[1721].speaker SPEAKER_33
transcript.pyannote[1721].start 8119.72409375
transcript.pyannote[1721].end 8119.85909375
transcript.pyannote[1722].speaker SPEAKER_05
transcript.pyannote[1722].start 8122.66034375
transcript.pyannote[1722].end 8122.84596875
transcript.pyannote[1723].speaker SPEAKER_05
transcript.pyannote[1723].start 8124.17909375
transcript.pyannote[1723].end 8124.85409375
transcript.pyannote[1724].speaker SPEAKER_05
transcript.pyannote[1724].start 8126.35596875
transcript.pyannote[1724].end 8128.98846875
transcript.pyannote[1725].speaker SPEAKER_03
transcript.pyannote[1725].start 8136.97034375
transcript.pyannote[1725].end 8140.12596875
transcript.pyannote[1726].speaker SPEAKER_36
transcript.pyannote[1726].start 8147.04471875
transcript.pyannote[1726].end 8147.06159375
transcript.pyannote[1727].speaker SPEAKER_02
transcript.pyannote[1727].start 8147.06159375
transcript.pyannote[1727].end 8147.07846875
transcript.pyannote[1728].speaker SPEAKER_36
transcript.pyannote[1728].start 8147.07846875
transcript.pyannote[1728].end 8147.09534375
transcript.pyannote[1729].speaker SPEAKER_02
transcript.pyannote[1729].start 8147.09534375
transcript.pyannote[1729].end 8147.34846875
transcript.pyannote[1730].speaker SPEAKER_36
transcript.pyannote[1730].start 8147.34846875
transcript.pyannote[1730].end 8147.63534375
transcript.pyannote[1731].speaker SPEAKER_02
transcript.pyannote[1731].start 8147.63534375
transcript.pyannote[1731].end 8147.68596875
transcript.pyannote[1732].speaker SPEAKER_02
transcript.pyannote[1732].start 8147.97284375
transcript.pyannote[1732].end 8157.94596875
transcript.pyannote[1733].speaker SPEAKER_02
transcript.pyannote[1733].start 8158.31721875
transcript.pyannote[1733].end 8167.15971875
transcript.pyannote[1734].speaker SPEAKER_39
transcript.pyannote[1734].start 8166.67034375
transcript.pyannote[1734].end 8167.39596875
transcript.pyannote[1735].speaker SPEAKER_02
transcript.pyannote[1735].start 8167.27784375
transcript.pyannote[1735].end 8171.98596875
transcript.pyannote[1736].speaker SPEAKER_02
transcript.pyannote[1736].start 8172.28971875
transcript.pyannote[1736].end 8195.32409375
transcript.pyannote[1737].speaker SPEAKER_02
transcript.pyannote[1737].start 8195.66159375
transcript.pyannote[1737].end 8202.17534375
transcript.pyannote[1738].speaker SPEAKER_02
transcript.pyannote[1738].start 8202.47909375
transcript.pyannote[1738].end 8203.18784375
transcript.pyannote[1739].speaker SPEAKER_02
transcript.pyannote[1739].start 8203.25534375
transcript.pyannote[1739].end 8203.27221875
transcript.pyannote[1740].speaker SPEAKER_39
transcript.pyannote[1740].start 8203.27221875
transcript.pyannote[1740].end 8203.64346875
transcript.pyannote[1741].speaker SPEAKER_02
transcript.pyannote[1741].start 8203.40721875
transcript.pyannote[1741].end 8205.49971875
transcript.pyannote[1742].speaker SPEAKER_02
transcript.pyannote[1742].start 8205.95534375
transcript.pyannote[1742].end 8210.03909375
transcript.pyannote[1743].speaker SPEAKER_02
transcript.pyannote[1743].start 8210.46096875
transcript.pyannote[1743].end 8230.32284375
transcript.pyannote[1744].speaker SPEAKER_02
transcript.pyannote[1744].start 8230.76159375
transcript.pyannote[1744].end 8231.03159375
transcript.pyannote[1745].speaker SPEAKER_36
transcript.pyannote[1745].start 8231.03159375
transcript.pyannote[1745].end 8237.24159375
transcript.pyannote[1746].speaker SPEAKER_36
transcript.pyannote[1746].start 8237.41034375
transcript.pyannote[1746].end 8254.90971875
transcript.pyannote[1747].speaker SPEAKER_00
transcript.pyannote[1747].start 8238.81096875
transcript.pyannote[1747].end 8238.82784375
transcript.pyannote[1748].speaker SPEAKER_33
transcript.pyannote[1748].start 8238.82784375
transcript.pyannote[1748].end 8239.26659375
transcript.pyannote[1749].speaker SPEAKER_33
transcript.pyannote[1749].start 8245.42596875
transcript.pyannote[1749].end 8245.47659375
transcript.pyannote[1750].speaker SPEAKER_02
transcript.pyannote[1750].start 8245.47659375
transcript.pyannote[1750].end 8245.71284375
transcript.pyannote[1751].speaker SPEAKER_33
transcript.pyannote[1751].start 8245.71284375
transcript.pyannote[1751].end 8245.74659375
transcript.pyannote[1752].speaker SPEAKER_36
transcript.pyannote[1752].start 8255.16284375
transcript.pyannote[1752].end 8257.39034375
transcript.pyannote[1753].speaker SPEAKER_02
transcript.pyannote[1753].start 8257.39034375
transcript.pyannote[1753].end 8269.16909375
transcript.pyannote[1754].speaker SPEAKER_36
transcript.pyannote[1754].start 8264.30909375
transcript.pyannote[1754].end 8264.62971875
transcript.pyannote[1755].speaker SPEAKER_35
transcript.pyannote[1755].start 8266.72221875
transcript.pyannote[1755].end 8266.97534375
transcript.pyannote[1756].speaker SPEAKER_00
transcript.pyannote[1756].start 8266.97534375
transcript.pyannote[1756].end 8267.14409375
transcript.pyannote[1757].speaker SPEAKER_02
transcript.pyannote[1757].start 8269.42221875
transcript.pyannote[1757].end 8277.48846875
transcript.pyannote[1758].speaker SPEAKER_00
transcript.pyannote[1758].start 8269.45596875
transcript.pyannote[1758].end 8270.53596875
transcript.pyannote[1759].speaker SPEAKER_02
transcript.pyannote[1759].start 8277.94409375
transcript.pyannote[1759].end 8335.60596875
transcript.pyannote[1760].speaker SPEAKER_39
transcript.pyannote[1760].start 8287.00596875
transcript.pyannote[1760].end 8287.90034375
transcript.pyannote[1761].speaker SPEAKER_36
transcript.pyannote[1761].start 8335.60596875
transcript.pyannote[1761].end 8335.65659375
transcript.pyannote[1762].speaker SPEAKER_02
transcript.pyannote[1762].start 8336.11221875
transcript.pyannote[1762].end 8336.14596875
transcript.pyannote[1763].speaker SPEAKER_36
transcript.pyannote[1763].start 8336.14596875
transcript.pyannote[1763].end 8344.02659375
transcript.pyannote[1764].speaker SPEAKER_35
transcript.pyannote[1764].start 8342.20409375
transcript.pyannote[1764].end 8342.69346875
transcript.pyannote[1765].speaker SPEAKER_36
transcript.pyannote[1765].start 8344.34721875
transcript.pyannote[1765].end 8357.20596875
transcript.pyannote[1766].speaker SPEAKER_02
transcript.pyannote[1766].start 8348.34659375
transcript.pyannote[1766].end 8349.71346875
transcript.pyannote[1767].speaker SPEAKER_02
transcript.pyannote[1767].start 8350.60784375
transcript.pyannote[1767].end 8352.00846875
transcript.pyannote[1768].speaker SPEAKER_02
transcript.pyannote[1768].start 8352.80159375
transcript.pyannote[1768].end 8354.65784375
transcript.pyannote[1769].speaker SPEAKER_35
transcript.pyannote[1769].start 8354.65784375
transcript.pyannote[1769].end 8354.67471875
transcript.pyannote[1770].speaker SPEAKER_35
transcript.pyannote[1770].start 8357.22284375
transcript.pyannote[1770].end 8357.32409375
transcript.pyannote[1771].speaker SPEAKER_36
transcript.pyannote[1771].start 8357.32409375
transcript.pyannote[1771].end 8360.05784375
transcript.pyannote[1772].speaker SPEAKER_36
transcript.pyannote[1772].start 8360.37846875
transcript.pyannote[1772].end 8374.72221875
transcript.pyannote[1773].speaker SPEAKER_36
transcript.pyannote[1773].start 8375.19471875
transcript.pyannote[1773].end 8379.31221875
transcript.pyannote[1774].speaker SPEAKER_02
transcript.pyannote[1774].start 8377.74284375
transcript.pyannote[1774].end 8378.51909375
transcript.pyannote[1775].speaker SPEAKER_36
transcript.pyannote[1775].start 8379.37971875
transcript.pyannote[1775].end 8380.66221875
transcript.pyannote[1776].speaker SPEAKER_02
transcript.pyannote[1776].start 8380.66221875
transcript.pyannote[1776].end 8391.25971875
transcript.pyannote[1777].speaker SPEAKER_36
transcript.pyannote[1777].start 8380.67909375
transcript.pyannote[1777].end 8381.06721875
transcript.pyannote[1778].speaker SPEAKER_36
transcript.pyannote[1778].start 8382.24846875
transcript.pyannote[1778].end 8383.44659375
transcript.pyannote[1779].speaker SPEAKER_33
transcript.pyannote[1779].start 8387.54721875
transcript.pyannote[1779].end 8388.22221875
transcript.pyannote[1780].speaker SPEAKER_35
transcript.pyannote[1780].start 8389.09971875
transcript.pyannote[1780].end 8389.33596875
transcript.pyannote[1781].speaker SPEAKER_33
transcript.pyannote[1781].start 8389.33596875
transcript.pyannote[1781].end 8389.35284375
transcript.pyannote[1782].speaker SPEAKER_35
transcript.pyannote[1782].start 8389.60596875
transcript.pyannote[1782].end 8389.67346875
transcript.pyannote[1783].speaker SPEAKER_33
transcript.pyannote[1783].start 8389.67346875
transcript.pyannote[1783].end 8390.02784375
transcript.pyannote[1784].speaker SPEAKER_35
transcript.pyannote[1784].start 8390.02784375
transcript.pyannote[1784].end 8390.97284375
transcript.pyannote[1785].speaker SPEAKER_33
transcript.pyannote[1785].start 8390.97284375
transcript.pyannote[1785].end 8391.02346875
transcript.pyannote[1786].speaker SPEAKER_35
transcript.pyannote[1786].start 8391.02346875
transcript.pyannote[1786].end 8391.22596875
transcript.pyannote[1787].speaker SPEAKER_35
transcript.pyannote[1787].start 8391.25971875
transcript.pyannote[1787].end 8391.63096875
transcript.pyannote[1788].speaker SPEAKER_02
transcript.pyannote[1788].start 8391.63096875
transcript.pyannote[1788].end 8391.73221875
transcript.pyannote[1789].speaker SPEAKER_35
transcript.pyannote[1789].start 8391.73221875
transcript.pyannote[1789].end 8391.88409375
transcript.pyannote[1790].speaker SPEAKER_02
transcript.pyannote[1790].start 8391.78284375
transcript.pyannote[1790].end 8395.17471875
transcript.pyannote[1791].speaker SPEAKER_33
transcript.pyannote[1791].start 8391.88409375
transcript.pyannote[1791].end 8391.90096875
transcript.pyannote[1792].speaker SPEAKER_35
transcript.pyannote[1792].start 8391.90096875
transcript.pyannote[1792].end 8391.91784375
transcript.pyannote[1793].speaker SPEAKER_35
transcript.pyannote[1793].start 8395.17471875
transcript.pyannote[1793].end 8395.27596875
transcript.pyannote[1794].speaker SPEAKER_02
transcript.pyannote[1794].start 8395.57971875
transcript.pyannote[1794].end 8395.96784375
transcript.pyannote[1795].speaker SPEAKER_35
transcript.pyannote[1795].start 8395.96784375
transcript.pyannote[1795].end 8397.21659375
transcript.pyannote[1796].speaker SPEAKER_36
transcript.pyannote[1796].start 8397.21659375
transcript.pyannote[1796].end 8397.26721875
transcript.pyannote[1797].speaker SPEAKER_02
transcript.pyannote[1797].start 8397.21659375
transcript.pyannote[1797].end 8397.60471875
transcript.pyannote[1798].speaker SPEAKER_35
transcript.pyannote[1798].start 8397.26721875
transcript.pyannote[1798].end 8397.28409375
transcript.pyannote[1799].speaker SPEAKER_36
transcript.pyannote[1799].start 8397.28409375
transcript.pyannote[1799].end 8397.57096875
transcript.pyannote[1800].speaker SPEAKER_35
transcript.pyannote[1800].start 8397.57096875
transcript.pyannote[1800].end 8399.96721875
transcript.pyannote[1801].speaker SPEAKER_02
transcript.pyannote[1801].start 8399.96721875
transcript.pyannote[1801].end 8401.62096875
transcript.pyannote[1802].speaker SPEAKER_39
transcript.pyannote[1802].start 8401.62096875
transcript.pyannote[1802].end 8402.07659375
transcript.pyannote[1803].speaker SPEAKER_02
transcript.pyannote[1803].start 8401.89096875
transcript.pyannote[1803].end 8401.90784375
transcript.pyannote[1804].speaker SPEAKER_02
transcript.pyannote[1804].start 8401.94159375
transcript.pyannote[1804].end 8423.45721875
transcript.pyannote[1805].speaker SPEAKER_00
transcript.pyannote[1805].start 8413.16346875
transcript.pyannote[1805].end 8413.85534375
transcript.pyannote[1806].speaker SPEAKER_00
transcript.pyannote[1806].start 8414.46284375
transcript.pyannote[1806].end 8414.73284375
transcript.pyannote[1807].speaker SPEAKER_02
transcript.pyannote[1807].start 8423.79471875
transcript.pyannote[1807].end 8425.93784375
transcript.pyannote[1808].speaker SPEAKER_02
transcript.pyannote[1808].start 8426.22471875
transcript.pyannote[1808].end 8439.70784375
transcript.pyannote[1809].speaker SPEAKER_02
transcript.pyannote[1809].start 8440.85534375
transcript.pyannote[1809].end 8443.55534375
transcript.pyannote[1810].speaker SPEAKER_36
transcript.pyannote[1810].start 8443.55534375
transcript.pyannote[1810].end 8443.58909375
transcript.pyannote[1811].speaker SPEAKER_36
transcript.pyannote[1811].start 8443.84221875
transcript.pyannote[1811].end 8444.04471875
transcript.pyannote[1812].speaker SPEAKER_02
transcript.pyannote[1812].start 8444.31471875
transcript.pyannote[1812].end 8444.33159375
transcript.pyannote[1813].speaker SPEAKER_36
transcript.pyannote[1813].start 8444.33159375
transcript.pyannote[1813].end 8445.25971875
transcript.pyannote[1814].speaker SPEAKER_33
transcript.pyannote[1814].start 8445.83346875
transcript.pyannote[1814].end 8446.57596875
transcript.pyannote[1815].speaker SPEAKER_36
transcript.pyannote[1815].start 8446.10346875
transcript.pyannote[1815].end 8447.33534375
transcript.pyannote[1816].speaker SPEAKER_36
transcript.pyannote[1816].start 8447.90909375
transcript.pyannote[1816].end 8450.62596875
transcript.pyannote[1817].speaker SPEAKER_33
transcript.pyannote[1817].start 8450.23784375
transcript.pyannote[1817].end 8450.27159375
transcript.pyannote[1818].speaker SPEAKER_02
transcript.pyannote[1818].start 8450.27159375
transcript.pyannote[1818].end 8450.47409375
transcript.pyannote[1819].speaker SPEAKER_33
transcript.pyannote[1819].start 8450.47409375
transcript.pyannote[1819].end 8450.49096875
transcript.pyannote[1820].speaker SPEAKER_36
transcript.pyannote[1820].start 8450.99721875
transcript.pyannote[1820].end 8454.35534375
transcript.pyannote[1821].speaker SPEAKER_02
transcript.pyannote[1821].start 8453.47784375
transcript.pyannote[1821].end 8453.69721875
transcript.pyannote[1822].speaker SPEAKER_02
transcript.pyannote[1822].start 8454.11909375
transcript.pyannote[1822].end 8481.45659375
transcript.pyannote[1823].speaker SPEAKER_02
transcript.pyannote[1823].start 8482.75596875
transcript.pyannote[1823].end 8485.87784375
transcript.pyannote[1824].speaker SPEAKER_36
transcript.pyannote[1824].start 8485.87784375
transcript.pyannote[1824].end 8485.92846875
transcript.pyannote[1825].speaker SPEAKER_02
transcript.pyannote[1825].start 8486.26596875
transcript.pyannote[1825].end 8486.28284375
transcript.pyannote[1826].speaker SPEAKER_36
transcript.pyannote[1826].start 8486.28284375
transcript.pyannote[1826].end 8489.33721875
transcript.pyannote[1827].speaker SPEAKER_36
transcript.pyannote[1827].start 8489.38784375
transcript.pyannote[1827].end 8491.54784375
transcript.pyannote[1828].speaker SPEAKER_36
transcript.pyannote[1828].start 8492.05409375
transcript.pyannote[1828].end 8493.26909375
transcript.pyannote[1829].speaker SPEAKER_36
transcript.pyannote[1829].start 8494.06221875
transcript.pyannote[1829].end 8499.69846875
transcript.pyannote[1830].speaker SPEAKER_02
transcript.pyannote[1830].start 8498.39909375
transcript.pyannote[1830].end 8501.41971875
transcript.pyannote[1831].speaker SPEAKER_02
transcript.pyannote[1831].start 8501.58846875
transcript.pyannote[1831].end 8510.65034375
transcript.pyannote[1832].speaker SPEAKER_36
transcript.pyannote[1832].start 8510.12721875
transcript.pyannote[1832].end 8520.48846875
transcript.pyannote[1833].speaker SPEAKER_02
transcript.pyannote[1833].start 8517.65346875
transcript.pyannote[1833].end 8517.73784375
transcript.pyannote[1834].speaker SPEAKER_36
transcript.pyannote[1834].start 8521.06221875
transcript.pyannote[1834].end 8527.96409375
transcript.pyannote[1835].speaker SPEAKER_02
transcript.pyannote[1835].start 8527.96409375
transcript.pyannote[1835].end 8534.25846875
transcript.pyannote[1836].speaker SPEAKER_02
transcript.pyannote[1836].start 8534.52846875
transcript.pyannote[1836].end 8537.21159375
transcript.pyannote[1837].speaker SPEAKER_02
transcript.pyannote[1837].start 8537.68409375
transcript.pyannote[1837].end 8538.83159375
transcript.pyannote[1838].speaker SPEAKER_02
transcript.pyannote[1838].start 8539.13534375
transcript.pyannote[1838].end 8539.91159375
transcript.pyannote[1839].speaker SPEAKER_02
transcript.pyannote[1839].start 8540.53596875
transcript.pyannote[1839].end 8557.64721875
transcript.pyannote[1840].speaker SPEAKER_36
transcript.pyannote[1840].start 8550.71159375
transcript.pyannote[1840].end 8551.06596875
transcript.pyannote[1841].speaker SPEAKER_00
transcript.pyannote[1841].start 8551.06596875
transcript.pyannote[1841].end 8551.09971875
transcript.pyannote[1842].speaker SPEAKER_02
transcript.pyannote[1842].start 8557.90034375
transcript.pyannote[1842].end 8563.11471875
transcript.pyannote[1843].speaker SPEAKER_36
transcript.pyannote[1843].start 8561.03909375
transcript.pyannote[1843].end 8563.57034375
transcript.pyannote[1844].speaker SPEAKER_35
transcript.pyannote[1844].start 8563.11471875
transcript.pyannote[1844].end 8563.14846875
transcript.pyannote[1845].speaker SPEAKER_36
transcript.pyannote[1845].start 8563.75596875
transcript.pyannote[1845].end 8570.11784375
transcript.pyannote[1846].speaker SPEAKER_02
transcript.pyannote[1846].start 8563.78971875
transcript.pyannote[1846].end 8564.19471875
transcript.pyannote[1847].speaker SPEAKER_36
transcript.pyannote[1847].start 8570.45534375
transcript.pyannote[1847].end 8571.28221875
transcript.pyannote[1848].speaker SPEAKER_36
transcript.pyannote[1848].start 8571.97409375
transcript.pyannote[1848].end 8575.31534375
transcript.pyannote[1849].speaker SPEAKER_02
transcript.pyannote[1849].start 8575.31534375
transcript.pyannote[1849].end 8576.05784375
transcript.pyannote[1850].speaker SPEAKER_02
transcript.pyannote[1850].start 8576.58096875
transcript.pyannote[1850].end 8590.90784375
transcript.pyannote[1851].speaker SPEAKER_02
transcript.pyannote[1851].start 8591.26221875
transcript.pyannote[1851].end 8591.73471875
transcript.pyannote[1852].speaker SPEAKER_02
transcript.pyannote[1852].start 8592.25784375
transcript.pyannote[1852].end 8593.42221875
transcript.pyannote[1853].speaker SPEAKER_02
transcript.pyannote[1853].start 8593.77659375
transcript.pyannote[1853].end 8595.54846875
transcript.pyannote[1854].speaker SPEAKER_36
transcript.pyannote[1854].start 8593.82721875
transcript.pyannote[1854].end 8598.46784375
transcript.pyannote[1855].speaker SPEAKER_05
transcript.pyannote[1855].start 8599.07534375
transcript.pyannote[1855].end 8599.61534375
transcript.pyannote[1856].speaker SPEAKER_05
transcript.pyannote[1856].start 8601.99471875
transcript.pyannote[1856].end 8604.57659375
transcript.pyannote[1857].speaker SPEAKER_38
transcript.pyannote[1857].start 8615.07284375
transcript.pyannote[1857].end 8616.79409375
transcript.pyannote[1858].speaker SPEAKER_38
transcript.pyannote[1858].start 8616.92909375
transcript.pyannote[1858].end 8617.90784375
transcript.pyannote[1859].speaker SPEAKER_05
transcript.pyannote[1859].start 8618.29596875
transcript.pyannote[1859].end 8619.15659375
transcript.pyannote[1860].speaker SPEAKER_38
transcript.pyannote[1860].start 8626.46346875
transcript.pyannote[1860].end 8626.98659375
transcript.pyannote[1861].speaker SPEAKER_38
transcript.pyannote[1861].start 8627.35784375
transcript.pyannote[1861].end 8627.81346875
transcript.pyannote[1862].speaker SPEAKER_38
transcript.pyannote[1862].start 8627.98221875
transcript.pyannote[1862].end 8630.29409375
transcript.pyannote[1863].speaker SPEAKER_38
transcript.pyannote[1863].start 8631.20534375
transcript.pyannote[1863].end 8634.76596875
transcript.pyannote[1864].speaker SPEAKER_38
transcript.pyannote[1864].start 8635.67721875
transcript.pyannote[1864].end 8638.68096875
transcript.pyannote[1865].speaker SPEAKER_38
transcript.pyannote[1865].start 8639.30534375
transcript.pyannote[1865].end 8643.33846875
transcript.pyannote[1866].speaker SPEAKER_38
transcript.pyannote[1866].start 8643.79409375
transcript.pyannote[1866].end 8645.73471875
transcript.pyannote[1867].speaker SPEAKER_38
transcript.pyannote[1867].start 8646.20721875
transcript.pyannote[1867].end 8648.82284375
transcript.pyannote[1868].speaker SPEAKER_38
transcript.pyannote[1868].start 8649.80159375
transcript.pyannote[1868].end 8649.93659375
transcript.pyannote[1869].speaker SPEAKER_36
transcript.pyannote[1869].start 8649.93659375
transcript.pyannote[1869].end 8650.07159375
transcript.pyannote[1870].speaker SPEAKER_38
transcript.pyannote[1870].start 8650.07159375
transcript.pyannote[1870].end 8650.71284375
transcript.pyannote[1871].speaker SPEAKER_36
transcript.pyannote[1871].start 8650.12221875
transcript.pyannote[1871].end 8650.74659375
transcript.pyannote[1872].speaker SPEAKER_38
transcript.pyannote[1872].start 8650.74659375
transcript.pyannote[1872].end 8651.03346875
transcript.pyannote[1873].speaker SPEAKER_36
transcript.pyannote[1873].start 8651.03346875
transcript.pyannote[1873].end 8651.72534375
transcript.pyannote[1874].speaker SPEAKER_36
transcript.pyannote[1874].start 8651.89409375
transcript.pyannote[1874].end 8651.92784375
transcript.pyannote[1875].speaker SPEAKER_38
transcript.pyannote[1875].start 8651.92784375
transcript.pyannote[1875].end 8652.31596875
transcript.pyannote[1876].speaker SPEAKER_36
transcript.pyannote[1876].start 8652.31596875
transcript.pyannote[1876].end 8652.34971875
transcript.pyannote[1877].speaker SPEAKER_38
transcript.pyannote[1877].start 8652.34971875
transcript.pyannote[1877].end 8653.22721875
transcript.pyannote[1878].speaker SPEAKER_36
transcript.pyannote[1878].start 8653.22721875
transcript.pyannote[1878].end 8656.45034375
transcript.pyannote[1879].speaker SPEAKER_38
transcript.pyannote[1879].start 8653.68284375
transcript.pyannote[1879].end 8654.81346875
transcript.pyannote[1880].speaker SPEAKER_38
transcript.pyannote[1880].start 8654.83034375
transcript.pyannote[1880].end 8655.85971875
transcript.pyannote[1881].speaker SPEAKER_38
transcript.pyannote[1881].start 8656.21409375
transcript.pyannote[1881].end 8664.02721875
transcript.pyannote[1882].speaker SPEAKER_36
transcript.pyannote[1882].start 8663.41971875
transcript.pyannote[1882].end 8665.07346875
transcript.pyannote[1883].speaker SPEAKER_38
transcript.pyannote[1883].start 8664.93846875
transcript.pyannote[1883].end 8665.00596875
transcript.pyannote[1884].speaker SPEAKER_38
transcript.pyannote[1884].start 8665.07346875
transcript.pyannote[1884].end 8666.03534375
transcript.pyannote[1885].speaker SPEAKER_36
transcript.pyannote[1885].start 8666.03534375
transcript.pyannote[1885].end 8673.05534375
transcript.pyannote[1886].speaker SPEAKER_38
transcript.pyannote[1886].start 8670.35534375
transcript.pyannote[1886].end 8673.08909375
transcript.pyannote[1887].speaker SPEAKER_36
transcript.pyannote[1887].start 8673.08909375
transcript.pyannote[1887].end 8673.13971875
transcript.pyannote[1888].speaker SPEAKER_38
transcript.pyannote[1888].start 8673.13971875
transcript.pyannote[1888].end 8673.15659375
transcript.pyannote[1889].speaker SPEAKER_36
transcript.pyannote[1889].start 8673.15659375
transcript.pyannote[1889].end 8673.25784375
transcript.pyannote[1890].speaker SPEAKER_38
transcript.pyannote[1890].start 8673.25784375
transcript.pyannote[1890].end 8673.27471875
transcript.pyannote[1891].speaker SPEAKER_36
transcript.pyannote[1891].start 8673.27471875
transcript.pyannote[1891].end 8675.50221875
transcript.pyannote[1892].speaker SPEAKER_38
transcript.pyannote[1892].start 8673.29159375
transcript.pyannote[1892].end 8674.35471875
transcript.pyannote[1893].speaker SPEAKER_38
transcript.pyannote[1893].start 8674.87784375
transcript.pyannote[1893].end 8676.78471875
transcript.pyannote[1894].speaker SPEAKER_38
transcript.pyannote[1894].start 8678.48909375
transcript.pyannote[1894].end 8680.37909375
transcript.pyannote[1895].speaker SPEAKER_38
transcript.pyannote[1895].start 8681.07096875
transcript.pyannote[1895].end 8683.16346875
transcript.pyannote[1896].speaker SPEAKER_38
transcript.pyannote[1896].start 8683.50096875
transcript.pyannote[1896].end 8688.79971875
transcript.pyannote[1897].speaker SPEAKER_38
transcript.pyannote[1897].start 8689.42409375
transcript.pyannote[1897].end 8689.81221875
transcript.pyannote[1898].speaker SPEAKER_38
transcript.pyannote[1898].start 8690.38596875
transcript.pyannote[1898].end 8691.76971875
transcript.pyannote[1899].speaker SPEAKER_38
transcript.pyannote[1899].start 8692.57971875
transcript.pyannote[1899].end 8695.02659375
transcript.pyannote[1900].speaker SPEAKER_38
transcript.pyannote[1900].start 8695.66784375
transcript.pyannote[1900].end 8696.25846875
transcript.pyannote[1901].speaker SPEAKER_38
transcript.pyannote[1901].start 8696.42721875
transcript.pyannote[1901].end 8697.65909375
transcript.pyannote[1902].speaker SPEAKER_38
transcript.pyannote[1902].start 8698.08096875
transcript.pyannote[1902].end 8699.02596875
transcript.pyannote[1903].speaker SPEAKER_38
transcript.pyannote[1903].start 8699.81909375
transcript.pyannote[1903].end 8702.33346875
transcript.pyannote[1904].speaker SPEAKER_38
transcript.pyannote[1904].start 8703.09284375
transcript.pyannote[1904].end 8703.66659375
transcript.pyannote[1905].speaker SPEAKER_38
transcript.pyannote[1905].start 8704.07159375
transcript.pyannote[1905].end 8704.91534375
transcript.pyannote[1906].speaker SPEAKER_38
transcript.pyannote[1906].start 8705.64096875
transcript.pyannote[1906].end 8706.01221875
transcript.pyannote[1907].speaker SPEAKER_38
transcript.pyannote[1907].start 8707.10909375
transcript.pyannote[1907].end 8708.25659375
transcript.pyannote[1908].speaker SPEAKER_38
transcript.pyannote[1908].start 8709.31971875
transcript.pyannote[1908].end 8711.12534375
transcript.pyannote[1909].speaker SPEAKER_38
transcript.pyannote[1909].start 8711.74971875
transcript.pyannote[1909].end 8713.47096875
transcript.pyannote[1910].speaker SPEAKER_38
transcript.pyannote[1910].start 8713.99409375
transcript.pyannote[1910].end 8715.98534375
transcript.pyannote[1911].speaker SPEAKER_38
transcript.pyannote[1911].start 8716.30596875
transcript.pyannote[1911].end 8716.91346875
transcript.pyannote[1912].speaker SPEAKER_38
transcript.pyannote[1912].start 8717.26784375
transcript.pyannote[1912].end 8718.44909375
transcript.pyannote[1913].speaker SPEAKER_38
transcript.pyannote[1913].start 8718.71909375
transcript.pyannote[1913].end 8719.63034375
transcript.pyannote[1914].speaker SPEAKER_38
transcript.pyannote[1914].start 8720.11971875
transcript.pyannote[1914].end 8720.47409375
transcript.pyannote[1915].speaker SPEAKER_38
transcript.pyannote[1915].start 8720.87909375
transcript.pyannote[1915].end 8722.92096875
transcript.pyannote[1916].speaker SPEAKER_38
transcript.pyannote[1916].start 8723.22471875
transcript.pyannote[1916].end 8724.32159375
transcript.pyannote[1917].speaker SPEAKER_38
transcript.pyannote[1917].start 8724.92909375
transcript.pyannote[1917].end 8726.31284375
transcript.pyannote[1918].speaker SPEAKER_38
transcript.pyannote[1918].start 8726.63346875
transcript.pyannote[1918].end 8731.22346875
transcript.pyannote[1919].speaker SPEAKER_38
transcript.pyannote[1919].start 8731.45971875
transcript.pyannote[1919].end 8733.04596875
transcript.pyannote[1920].speaker SPEAKER_38
transcript.pyannote[1920].start 8733.61971875
transcript.pyannote[1920].end 8736.77534375
transcript.pyannote[1921].speaker SPEAKER_38
transcript.pyannote[1921].start 8736.94409375
transcript.pyannote[1921].end 8738.41221875
transcript.pyannote[1922].speaker SPEAKER_38
transcript.pyannote[1922].start 8738.73284375
transcript.pyannote[1922].end 8742.96846875
transcript.pyannote[1923].speaker SPEAKER_36
transcript.pyannote[1923].start 8742.96846875
transcript.pyannote[1923].end 8742.98534375
transcript.pyannote[1924].speaker SPEAKER_38
transcript.pyannote[1924].start 8743.49159375
transcript.pyannote[1924].end 8743.69409375
transcript.pyannote[1925].speaker SPEAKER_36
transcript.pyannote[1925].start 8743.69409375
transcript.pyannote[1925].end 8744.13284375
transcript.pyannote[1926].speaker SPEAKER_36
transcript.pyannote[1926].start 8744.77409375
transcript.pyannote[1926].end 8746.14096875
transcript.pyannote[1927].speaker SPEAKER_36
transcript.pyannote[1927].start 8746.81596875
transcript.pyannote[1927].end 8756.01284375
transcript.pyannote[1928].speaker SPEAKER_38
transcript.pyannote[1928].start 8749.39784375
transcript.pyannote[1928].end 8750.81534375
transcript.pyannote[1929].speaker SPEAKER_38
transcript.pyannote[1929].start 8753.21159375
transcript.pyannote[1929].end 8753.49846875
transcript.pyannote[1930].speaker SPEAKER_33
transcript.pyannote[1930].start 8753.49846875
transcript.pyannote[1930].end 8753.53221875
transcript.pyannote[1931].speaker SPEAKER_36
transcript.pyannote[1931].start 8756.63721875
transcript.pyannote[1931].end 8761.12596875
transcript.pyannote[1932].speaker SPEAKER_36
transcript.pyannote[1932].start 8761.51409375
transcript.pyannote[1932].end 8763.18471875
transcript.pyannote[1933].speaker SPEAKER_37
transcript.pyannote[1933].start 8761.64909375
transcript.pyannote[1933].end 8761.85159375
transcript.pyannote[1934].speaker SPEAKER_33
transcript.pyannote[1934].start 8761.85159375
transcript.pyannote[1934].end 8761.86846875
transcript.pyannote[1935].speaker SPEAKER_36
transcript.pyannote[1935].start 8763.60659375
transcript.pyannote[1935].end 8769.66471875
transcript.pyannote[1936].speaker SPEAKER_37
transcript.pyannote[1936].start 8764.11284375
transcript.pyannote[1936].end 8765.44596875
transcript.pyannote[1937].speaker SPEAKER_33
transcript.pyannote[1937].start 8765.44596875
transcript.pyannote[1937].end 8765.47971875
transcript.pyannote[1938].speaker SPEAKER_36
transcript.pyannote[1938].start 8770.12034375
transcript.pyannote[1938].end 8772.97221875
transcript.pyannote[1939].speaker SPEAKER_38
transcript.pyannote[1939].start 8772.31409375
transcript.pyannote[1939].end 8772.60096875
transcript.pyannote[1940].speaker SPEAKER_38
transcript.pyannote[1940].start 8772.97221875
transcript.pyannote[1940].end 8773.41096875
transcript.pyannote[1941].speaker SPEAKER_36
transcript.pyannote[1941].start 8773.41096875
transcript.pyannote[1941].end 8774.35596875
transcript.pyannote[1942].speaker SPEAKER_38
transcript.pyannote[1942].start 8773.71471875
transcript.pyannote[1942].end 8774.30534375
transcript.pyannote[1943].speaker SPEAKER_38
transcript.pyannote[1943].start 8774.35596875
transcript.pyannote[1943].end 8777.29221875
transcript.pyannote[1944].speaker SPEAKER_36
transcript.pyannote[1944].start 8775.45284375
transcript.pyannote[1944].end 8781.20721875
transcript.pyannote[1945].speaker SPEAKER_38
transcript.pyannote[1945].start 8777.52846875
transcript.pyannote[1945].end 8778.67596875
transcript.pyannote[1946].speaker SPEAKER_38
transcript.pyannote[1946].start 8780.71784375
transcript.pyannote[1946].end 8788.69971875
transcript.pyannote[1947].speaker SPEAKER_36
transcript.pyannote[1947].start 8788.86846875
transcript.pyannote[1947].end 8788.95284375
transcript.pyannote[1948].speaker SPEAKER_33
transcript.pyannote[1948].start 8788.95284375
transcript.pyannote[1948].end 8789.99909375
transcript.pyannote[1949].speaker SPEAKER_38
transcript.pyannote[1949].start 8789.15534375
transcript.pyannote[1949].end 8795.51721875
transcript.pyannote[1950].speaker SPEAKER_36
transcript.pyannote[1950].start 8794.87596875
transcript.pyannote[1950].end 8795.39909375
transcript.pyannote[1951].speaker SPEAKER_36
transcript.pyannote[1951].start 8795.51721875
transcript.pyannote[1951].end 8810.45159375
transcript.pyannote[1952].speaker SPEAKER_38
transcript.pyannote[1952].start 8796.20909375
transcript.pyannote[1952].end 8796.52971875
transcript.pyannote[1953].speaker SPEAKER_38
transcript.pyannote[1953].start 8802.82409375
transcript.pyannote[1953].end 8804.03909375
transcript.pyannote[1954].speaker SPEAKER_38
transcript.pyannote[1954].start 8804.10659375
transcript.pyannote[1954].end 8808.89909375
transcript.pyannote[1955].speaker SPEAKER_38
transcript.pyannote[1955].start 8809.60784375
transcript.pyannote[1955].end 8811.63284375
transcript.pyannote[1956].speaker SPEAKER_38
transcript.pyannote[1956].start 8811.76784375
transcript.pyannote[1956].end 8813.35409375
transcript.pyannote[1957].speaker SPEAKER_36
transcript.pyannote[1957].start 8811.97034375
transcript.pyannote[1957].end 8813.30346875
transcript.pyannote[1958].speaker SPEAKER_36
transcript.pyannote[1958].start 8813.35409375
transcript.pyannote[1958].end 8816.72909375
transcript.pyannote[1959].speaker SPEAKER_38
transcript.pyannote[1959].start 8815.12596875
transcript.pyannote[1959].end 8824.59284375
transcript.pyannote[1960].speaker SPEAKER_38
transcript.pyannote[1960].start 8824.89659375
transcript.pyannote[1960].end 8825.45346875
transcript.pyannote[1961].speaker SPEAKER_38
transcript.pyannote[1961].start 8825.58846875
transcript.pyannote[1961].end 8831.86596875
transcript.pyannote[1962].speaker SPEAKER_36
transcript.pyannote[1962].start 8830.33034375
transcript.pyannote[1962].end 8837.02971875
transcript.pyannote[1963].speaker SPEAKER_38
transcript.pyannote[1963].start 8835.24096875
transcript.pyannote[1963].end 8835.56159375
transcript.pyannote[1964].speaker SPEAKER_38
transcript.pyannote[1964].start 8837.02971875
transcript.pyannote[1964].end 8837.23221875
transcript.pyannote[1965].speaker SPEAKER_36
transcript.pyannote[1965].start 8837.23221875
transcript.pyannote[1965].end 8838.02534375
transcript.pyannote[1966].speaker SPEAKER_38
transcript.pyannote[1966].start 8838.02534375
transcript.pyannote[1966].end 8839.42596875
transcript.pyannote[1967].speaker SPEAKER_36
transcript.pyannote[1967].start 8840.15159375
transcript.pyannote[1967].end 8840.18534375
transcript.pyannote[1968].speaker SPEAKER_38
transcript.pyannote[1968].start 8840.18534375
transcript.pyannote[1968].end 8844.82596875
transcript.pyannote[1969].speaker SPEAKER_36
transcript.pyannote[1969].start 8845.70346875
transcript.pyannote[1969].end 8847.20534375
transcript.pyannote[1970].speaker SPEAKER_38
transcript.pyannote[1970].start 8847.20534375
transcript.pyannote[1970].end 8848.06596875
transcript.pyannote[1971].speaker SPEAKER_38
transcript.pyannote[1971].start 8848.40346875
transcript.pyannote[1971].end 8848.48784375
transcript.pyannote[1972].speaker SPEAKER_36
transcript.pyannote[1972].start 8848.48784375
transcript.pyannote[1972].end 8854.88346875
transcript.pyannote[1973].speaker SPEAKER_38
transcript.pyannote[1973].start 8850.32721875
transcript.pyannote[1973].end 8850.34409375
transcript.pyannote[1974].speaker SPEAKER_33
transcript.pyannote[1974].start 8850.34409375
transcript.pyannote[1974].end 8851.52534375
transcript.pyannote[1975].speaker SPEAKER_33
transcript.pyannote[1975].start 8851.60971875
transcript.pyannote[1975].end 8852.84159375
transcript.pyannote[1976].speaker SPEAKER_33
transcript.pyannote[1976].start 8854.88346875
transcript.pyannote[1976].end 8855.18721875
transcript.pyannote[1977].speaker SPEAKER_36
transcript.pyannote[1977].start 8855.87909375
transcript.pyannote[1977].end 8857.26284375
transcript.pyannote[1978].speaker SPEAKER_36
transcript.pyannote[1978].start 8858.08971875
transcript.pyannote[1978].end 8858.10659375
transcript.pyannote[1979].speaker SPEAKER_38
transcript.pyannote[1979].start 8858.10659375
transcript.pyannote[1979].end 8860.46909375
transcript.pyannote[1980].speaker SPEAKER_38
transcript.pyannote[1980].start 8860.85721875
transcript.pyannote[1980].end 8865.75096875
transcript.pyannote[1981].speaker SPEAKER_38
transcript.pyannote[1981].start 8866.02096875
transcript.pyannote[1981].end 8874.18846875
transcript.pyannote[1982].speaker SPEAKER_36
transcript.pyannote[1982].start 8872.41659375
transcript.pyannote[1982].end 8874.05346875
transcript.pyannote[1983].speaker SPEAKER_36
transcript.pyannote[1983].start 8874.34034375
transcript.pyannote[1983].end 8874.40784375
transcript.pyannote[1984].speaker SPEAKER_38
transcript.pyannote[1984].start 8874.40784375
transcript.pyannote[1984].end 8875.90971875
transcript.pyannote[1985].speaker SPEAKER_36
transcript.pyannote[1985].start 8875.38659375
transcript.pyannote[1985].end 8875.89284375
transcript.pyannote[1986].speaker SPEAKER_36
transcript.pyannote[1986].start 8875.90971875
transcript.pyannote[1986].end 8876.56784375
transcript.pyannote[1987].speaker SPEAKER_38
transcript.pyannote[1987].start 8876.56784375
transcript.pyannote[1987].end 8881.63034375
transcript.pyannote[1988].speaker SPEAKER_36
transcript.pyannote[1988].start 8877.20909375
transcript.pyannote[1988].end 8878.86284375
transcript.pyannote[1989].speaker SPEAKER_36
transcript.pyannote[1989].start 8882.22096875
transcript.pyannote[1989].end 8884.87034375
transcript.pyannote[1990].speaker SPEAKER_38
transcript.pyannote[1990].start 8883.41909375
transcript.pyannote[1990].end 8887.09784375
transcript.pyannote[1991].speaker SPEAKER_38
transcript.pyannote[1991].start 8887.11471875
transcript.pyannote[1991].end 8889.35909375
transcript.pyannote[1992].speaker SPEAKER_36
transcript.pyannote[1992].start 8889.83159375
transcript.pyannote[1992].end 8896.22721875
transcript.pyannote[1993].speaker SPEAKER_36
transcript.pyannote[1993].start 8897.17221875
transcript.pyannote[1993].end 8901.91409375
transcript.pyannote[1994].speaker SPEAKER_38
transcript.pyannote[1994].start 8900.83409375
transcript.pyannote[1994].end 8900.88471875
transcript.pyannote[1995].speaker SPEAKER_38
transcript.pyannote[1995].start 8901.08721875
transcript.pyannote[1995].end 8901.18846875
transcript.pyannote[1996].speaker SPEAKER_33
transcript.pyannote[1996].start 8901.18846875
transcript.pyannote[1996].end 8901.22221875
transcript.pyannote[1997].speaker SPEAKER_33
transcript.pyannote[1997].start 8901.35721875
transcript.pyannote[1997].end 8901.37409375
transcript.pyannote[1998].speaker SPEAKER_38
transcript.pyannote[1998].start 8901.37409375
transcript.pyannote[1998].end 8901.82971875
transcript.pyannote[1999].speaker SPEAKER_36
transcript.pyannote[1999].start 8902.03221875
transcript.pyannote[1999].end 8902.97721875
transcript.pyannote[2000].speaker SPEAKER_38
transcript.pyannote[2000].start 8902.15034375
transcript.pyannote[2000].end 8902.63971875
transcript.pyannote[2001].speaker SPEAKER_38
transcript.pyannote[2001].start 8902.97721875
transcript.pyannote[2001].end 8903.02784375
transcript.pyannote[2002].speaker SPEAKER_36
transcript.pyannote[2002].start 8903.02784375
transcript.pyannote[2002].end 8903.12909375
transcript.pyannote[2003].speaker SPEAKER_38
transcript.pyannote[2003].start 8903.12909375
transcript.pyannote[2003].end 8903.17971875
transcript.pyannote[2004].speaker SPEAKER_36
transcript.pyannote[2004].start 8903.17971875
transcript.pyannote[2004].end 8903.97284375
transcript.pyannote[2005].speaker SPEAKER_38
transcript.pyannote[2005].start 8903.97284375
transcript.pyannote[2005].end 8904.90096875
transcript.pyannote[2006].speaker SPEAKER_36
transcript.pyannote[2006].start 8904.90096875
transcript.pyannote[2006].end 8904.96846875
transcript.pyannote[2007].speaker SPEAKER_38
transcript.pyannote[2007].start 8904.96846875
transcript.pyannote[2007].end 8920.05471875
transcript.pyannote[2008].speaker SPEAKER_36
transcript.pyannote[2008].start 8905.39034375
transcript.pyannote[2008].end 8905.98096875
transcript.pyannote[2009].speaker SPEAKER_38
transcript.pyannote[2009].start 8920.45971875
transcript.pyannote[2009].end 8924.32409375
transcript.pyannote[2010].speaker SPEAKER_38
transcript.pyannote[2010].start 8924.69534375
transcript.pyannote[2010].end 8925.57284375
transcript.pyannote[2011].speaker SPEAKER_38
transcript.pyannote[2011].start 8925.92721875
transcript.pyannote[2011].end 8929.47096875
transcript.pyannote[2012].speaker SPEAKER_38
transcript.pyannote[2012].start 8929.90971875
transcript.pyannote[2012].end 8933.84159375
transcript.pyannote[2013].speaker SPEAKER_38
transcript.pyannote[2013].start 8934.63471875
transcript.pyannote[2013].end 8936.87909375
transcript.pyannote[2014].speaker SPEAKER_36
transcript.pyannote[2014].start 8936.87909375
transcript.pyannote[2014].end 8944.91159375
transcript.pyannote[2015].speaker SPEAKER_38
transcript.pyannote[2015].start 8941.26659375
transcript.pyannote[2015].end 8941.80659375
transcript.pyannote[2016].speaker SPEAKER_38
transcript.pyannote[2016].start 8942.70096875
transcript.pyannote[2016].end 8943.12284375
transcript.pyannote[2017].speaker SPEAKER_38
transcript.pyannote[2017].start 8944.18596875
transcript.pyannote[2017].end 8944.62471875
transcript.pyannote[2018].speaker SPEAKER_36
transcript.pyannote[2018].start 8945.13096875
transcript.pyannote[2018].end 8946.78471875
transcript.pyannote[2019].speaker SPEAKER_38
transcript.pyannote[2019].start 8945.16471875
transcript.pyannote[2019].end 8947.45971875
transcript.pyannote[2020].speaker SPEAKER_36
transcript.pyannote[2020].start 8948.03346875
transcript.pyannote[2020].end 8948.05034375
transcript.pyannote[2021].speaker SPEAKER_38
transcript.pyannote[2021].start 8948.05034375
transcript.pyannote[2021].end 8952.94409375
transcript.pyannote[2022].speaker SPEAKER_38
transcript.pyannote[2022].start 8953.16346875
transcript.pyannote[2022].end 8955.08721875
transcript.pyannote[2023].speaker SPEAKER_38
transcript.pyannote[2023].start 8955.52596875
transcript.pyannote[2023].end 8957.24721875
transcript.pyannote[2024].speaker SPEAKER_38
transcript.pyannote[2024].start 8957.66909375
transcript.pyannote[2024].end 8964.41909375
transcript.pyannote[2025].speaker SPEAKER_33
transcript.pyannote[2025].start 8963.57534375
transcript.pyannote[2025].end 8964.53721875
transcript.pyannote[2026].speaker SPEAKER_38
transcript.pyannote[2026].start 8964.53721875
transcript.pyannote[2026].end 8968.18221875
transcript.pyannote[2027].speaker SPEAKER_33
transcript.pyannote[2027].start 8964.72284375
transcript.pyannote[2027].end 8964.73971875
transcript.pyannote[2028].speaker SPEAKER_36
transcript.pyannote[2028].start 8968.18221875
transcript.pyannote[2028].end 8968.92471875
transcript.pyannote[2029].speaker SPEAKER_38
transcript.pyannote[2029].start 8968.92471875
transcript.pyannote[2029].end 8969.97096875
transcript.pyannote[2030].speaker SPEAKER_36
transcript.pyannote[2030].start 8969.97096875
transcript.pyannote[2030].end 8974.42596875
transcript.pyannote[2031].speaker SPEAKER_36
transcript.pyannote[2031].start 8974.93221875
transcript.pyannote[2031].end 8984.21346875
transcript.pyannote[2032].speaker SPEAKER_38
transcript.pyannote[2032].start 8977.22721875
transcript.pyannote[2032].end 8983.03221875
transcript.pyannote[2033].speaker SPEAKER_05
transcript.pyannote[2033].start 8983.03221875
transcript.pyannote[2033].end 8984.24721875
transcript.pyannote[2034].speaker SPEAKER_36
transcript.pyannote[2034].start 8984.24721875
transcript.pyannote[2034].end 8984.68596875
transcript.pyannote[2035].speaker SPEAKER_05
transcript.pyannote[2035].start 8984.68596875
transcript.pyannote[2035].end 8984.70284375
transcript.pyannote[2036].speaker SPEAKER_36
transcript.pyannote[2036].start 8984.70284375
transcript.pyannote[2036].end 8984.75346875
transcript.pyannote[2037].speaker SPEAKER_05
transcript.pyannote[2037].start 8984.75346875
transcript.pyannote[2037].end 8984.77034375
transcript.pyannote[2038].speaker SPEAKER_36
transcript.pyannote[2038].start 8984.77034375
transcript.pyannote[2038].end 8985.02346875
transcript.pyannote[2039].speaker SPEAKER_05
transcript.pyannote[2039].start 8985.02346875
transcript.pyannote[2039].end 8990.84534375
transcript.pyannote[2040].speaker SPEAKER_36
transcript.pyannote[2040].start 8985.19221875
transcript.pyannote[2040].end 8985.96846875
transcript.pyannote[2041].speaker SPEAKER_38
transcript.pyannote[2041].start 8985.96846875
transcript.pyannote[2041].end 8986.40721875
transcript.pyannote[2042].speaker SPEAKER_36
transcript.pyannote[2042].start 8986.40721875
transcript.pyannote[2042].end 8986.66034375
transcript.pyannote[2043].speaker SPEAKER_36
transcript.pyannote[2043].start 8989.29284375
transcript.pyannote[2043].end 8990.64284375
transcript.pyannote[2044].speaker SPEAKER_05
transcript.pyannote[2044].start 8991.19971875
transcript.pyannote[2044].end 8995.30034375
transcript.pyannote[2045].speaker SPEAKER_04
transcript.pyannote[2045].start 9001.76346875
transcript.pyannote[2045].end 9005.45909375
transcript.pyannote[2046].speaker SPEAKER_33
transcript.pyannote[2046].start 9011.16284375
transcript.pyannote[2046].end 9011.87159375
transcript.pyannote[2047].speaker SPEAKER_27
transcript.pyannote[2047].start 9012.29346875
transcript.pyannote[2047].end 9034.61909375
transcript.pyannote[2048].speaker SPEAKER_27
transcript.pyannote[2048].start 9035.32784375
transcript.pyannote[2048].end 9042.19596875
transcript.pyannote[2049].speaker SPEAKER_36
transcript.pyannote[2049].start 9043.25909375
transcript.pyannote[2049].end 9045.28409375
transcript.pyannote[2050].speaker SPEAKER_36
transcript.pyannote[2050].start 9045.90846875
transcript.pyannote[2050].end 9050.66721875
transcript.pyannote[2051].speaker SPEAKER_36
transcript.pyannote[2051].start 9051.12284375
transcript.pyannote[2051].end 9060.62346875
transcript.pyannote[2052].speaker SPEAKER_27
transcript.pyannote[2052].start 9060.30284375
transcript.pyannote[2052].end 9070.02284375
transcript.pyannote[2053].speaker SPEAKER_36
transcript.pyannote[2053].start 9070.02284375
transcript.pyannote[2053].end 9072.62159375
transcript.pyannote[2054].speaker SPEAKER_27
transcript.pyannote[2054].start 9070.07346875
transcript.pyannote[2054].end 9070.90034375
transcript.pyannote[2055].speaker SPEAKER_27
transcript.pyannote[2055].start 9071.45721875
transcript.pyannote[2055].end 9072.58784375
transcript.pyannote[2056].speaker SPEAKER_27
transcript.pyannote[2056].start 9072.62159375
transcript.pyannote[2056].end 9072.92534375
transcript.pyannote[2057].speaker SPEAKER_36
transcript.pyannote[2057].start 9072.92534375
transcript.pyannote[2057].end 9079.94534375
transcript.pyannote[2058].speaker SPEAKER_27
transcript.pyannote[2058].start 9077.98784375
transcript.pyannote[2058].end 9089.12534375
transcript.pyannote[2059].speaker SPEAKER_36
transcript.pyannote[2059].start 9087.70784375
transcript.pyannote[2059].end 9087.85971875
transcript.pyannote[2060].speaker SPEAKER_36
transcript.pyannote[2060].start 9088.75409375
transcript.pyannote[2060].end 9091.20096875
transcript.pyannote[2061].speaker SPEAKER_27
transcript.pyannote[2061].start 9092.02784375
transcript.pyannote[2061].end 9096.58409375
transcript.pyannote[2062].speaker SPEAKER_36
transcript.pyannote[2062].start 9093.59721875
transcript.pyannote[2062].end 9094.15409375
transcript.pyannote[2063].speaker SPEAKER_27
transcript.pyannote[2063].start 9097.68096875
transcript.pyannote[2063].end 9104.56596875
transcript.pyannote[2064].speaker SPEAKER_27
transcript.pyannote[2064].start 9104.81909375
transcript.pyannote[2064].end 9121.39034375
transcript.pyannote[2065].speaker SPEAKER_27
transcript.pyannote[2065].start 9121.55909375
transcript.pyannote[2065].end 9138.04596875
transcript.pyannote[2066].speaker SPEAKER_27
transcript.pyannote[2066].start 9138.34971875
transcript.pyannote[2066].end 9141.89346875
transcript.pyannote[2067].speaker SPEAKER_27
transcript.pyannote[2067].start 9142.92284375
transcript.pyannote[2067].end 9157.48596875
transcript.pyannote[2068].speaker SPEAKER_36
transcript.pyannote[2068].start 9156.03471875
transcript.pyannote[2068].end 9159.67971875
transcript.pyannote[2069].speaker SPEAKER_27
transcript.pyannote[2069].start 9159.22409375
transcript.pyannote[2069].end 9163.32471875
transcript.pyannote[2070].speaker SPEAKER_36
transcript.pyannote[2070].start 9160.03409375
transcript.pyannote[2070].end 9160.33784375
transcript.pyannote[2071].speaker SPEAKER_27
transcript.pyannote[2071].start 9163.83096875
transcript.pyannote[2071].end 9172.94346875
transcript.pyannote[2072].speaker SPEAKER_00
transcript.pyannote[2072].start 9170.49659375
transcript.pyannote[2072].end 9170.71596875
transcript.pyannote[2073].speaker SPEAKER_27
transcript.pyannote[2073].start 9173.44971875
transcript.pyannote[2073].end 9203.65596875
transcript.pyannote[2074].speaker SPEAKER_27
transcript.pyannote[2074].start 9203.94284375
transcript.pyannote[2074].end 9205.78221875
transcript.pyannote[2075].speaker SPEAKER_44
transcript.pyannote[2075].start 9204.01034375
transcript.pyannote[2075].end 9204.43221875
transcript.pyannote[2076].speaker SPEAKER_27
transcript.pyannote[2076].start 9205.93409375
transcript.pyannote[2076].end 9207.92534375
transcript.pyannote[2077].speaker SPEAKER_27
transcript.pyannote[2077].start 9208.70159375
transcript.pyannote[2077].end 9220.59846875
transcript.pyannote[2078].speaker SPEAKER_27
transcript.pyannote[2078].start 9221.56034375
transcript.pyannote[2078].end 9229.30596875
transcript.pyannote[2079].speaker SPEAKER_27
transcript.pyannote[2079].start 9229.66034375
transcript.pyannote[2079].end 9237.45659375
transcript.pyannote[2080].speaker SPEAKER_27
transcript.pyannote[2080].start 9237.91221875
transcript.pyannote[2080].end 9243.02534375
transcript.pyannote[2081].speaker SPEAKER_27
transcript.pyannote[2081].start 9243.43034375
transcript.pyannote[2081].end 9246.43409375
transcript.pyannote[2082].speaker SPEAKER_27
transcript.pyannote[2082].start 9246.77159375
transcript.pyannote[2082].end 9247.68284375
transcript.pyannote[2083].speaker SPEAKER_27
transcript.pyannote[2083].start 9249.43784375
transcript.pyannote[2083].end 9250.06221875
transcript.pyannote[2084].speaker SPEAKER_27
transcript.pyannote[2084].start 9250.66971875
transcript.pyannote[2084].end 9252.17159375
transcript.pyannote[2085].speaker SPEAKER_27
transcript.pyannote[2085].start 9252.69471875
transcript.pyannote[2085].end 9256.57596875
transcript.pyannote[2086].speaker SPEAKER_27
transcript.pyannote[2086].start 9257.36909375
transcript.pyannote[2086].end 9265.94159375
transcript.pyannote[2087].speaker SPEAKER_27
transcript.pyannote[2087].start 9266.51534375
transcript.pyannote[2087].end 9289.68471875
transcript.pyannote[2088].speaker SPEAKER_42
transcript.pyannote[2088].start 9287.33909375
transcript.pyannote[2088].end 9287.45721875
transcript.pyannote[2089].speaker SPEAKER_36
transcript.pyannote[2089].start 9287.45721875
transcript.pyannote[2089].end 9294.03846875
transcript.pyannote[2090].speaker SPEAKER_27
transcript.pyannote[2090].start 9294.03846875
transcript.pyannote[2090].end 9301.02471875
transcript.pyannote[2091].speaker SPEAKER_36
transcript.pyannote[2091].start 9301.02471875
transcript.pyannote[2091].end 9301.04159375
transcript.pyannote[2092].speaker SPEAKER_27
transcript.pyannote[2092].start 9301.04159375
transcript.pyannote[2092].end 9301.78409375
transcript.pyannote[2093].speaker SPEAKER_36
transcript.pyannote[2093].start 9301.78409375
transcript.pyannote[2093].end 9303.35346875
transcript.pyannote[2094].speaker SPEAKER_27
transcript.pyannote[2094].start 9302.57721875
transcript.pyannote[2094].end 9307.63971875
transcript.pyannote[2095].speaker SPEAKER_36
transcript.pyannote[2095].start 9304.07909375
transcript.pyannote[2095].end 9304.55159375
transcript.pyannote[2096].speaker SPEAKER_36
transcript.pyannote[2096].start 9305.86784375
transcript.pyannote[2096].end 9311.94284375
transcript.pyannote[2097].speaker SPEAKER_27
transcript.pyannote[2097].start 9310.64346875
transcript.pyannote[2097].end 9336.76596875
transcript.pyannote[2098].speaker SPEAKER_27
transcript.pyannote[2098].start 9337.93034375
transcript.pyannote[2098].end 9337.96409375
transcript.pyannote[2099].speaker SPEAKER_05
transcript.pyannote[2099].start 9337.96409375
transcript.pyannote[2099].end 9337.99784375
transcript.pyannote[2100].speaker SPEAKER_27
transcript.pyannote[2100].start 9337.99784375
transcript.pyannote[2100].end 9338.38596875
transcript.pyannote[2101].speaker SPEAKER_05
transcript.pyannote[2101].start 9338.01471875
transcript.pyannote[2101].end 9338.58846875
transcript.pyannote[2102].speaker SPEAKER_27
transcript.pyannote[2102].start 9338.58846875
transcript.pyannote[2102].end 9338.67284375
transcript.pyannote[2103].speaker SPEAKER_05
transcript.pyannote[2103].start 9340.69784375
transcript.pyannote[2103].end 9341.65971875
transcript.pyannote[2104].speaker SPEAKER_05
transcript.pyannote[2104].start 9342.28409375
transcript.pyannote[2104].end 9342.65534375
transcript.pyannote[2105].speaker SPEAKER_05
transcript.pyannote[2105].start 9343.43159375
transcript.pyannote[2105].end 9347.02596875
transcript.pyannote[2106].speaker SPEAKER_41
transcript.pyannote[2106].start 9352.98284375
transcript.pyannote[2106].end 9354.83909375
transcript.pyannote[2107].speaker SPEAKER_41
transcript.pyannote[2107].start 9355.09221875
transcript.pyannote[2107].end 9356.61096875
transcript.pyannote[2108].speaker SPEAKER_03
transcript.pyannote[2108].start 9356.74596875
transcript.pyannote[2108].end 9357.64034375
transcript.pyannote[2109].speaker SPEAKER_41
transcript.pyannote[2109].start 9364.01909375
transcript.pyannote[2109].end 9364.96409375
transcript.pyannote[2110].speaker SPEAKER_05
transcript.pyannote[2110].start 9364.06971875
transcript.pyannote[2110].end 9368.99721875
transcript.pyannote[2111].speaker SPEAKER_41
transcript.pyannote[2111].start 9368.99721875
transcript.pyannote[2111].end 9369.01409375
transcript.pyannote[2112].speaker SPEAKER_41
transcript.pyannote[2112].start 9369.23346875
transcript.pyannote[2112].end 9371.84909375
transcript.pyannote[2113].speaker SPEAKER_41
transcript.pyannote[2113].start 9377.51909375
transcript.pyannote[2113].end 9378.02534375
transcript.pyannote[2114].speaker SPEAKER_41
transcript.pyannote[2114].start 9378.83534375
transcript.pyannote[2114].end 9379.49346875
transcript.pyannote[2115].speaker SPEAKER_41
transcript.pyannote[2115].start 9384.01596875
transcript.pyannote[2115].end 9384.48846875
transcript.pyannote[2116].speaker SPEAKER_33
transcript.pyannote[2116].start 9384.48846875
transcript.pyannote[2116].end 9384.52221875
transcript.pyannote[2117].speaker SPEAKER_41
transcript.pyannote[2117].start 9384.84284375
transcript.pyannote[2117].end 9385.23096875
transcript.pyannote[2118].speaker SPEAKER_41
transcript.pyannote[2118].start 9385.43346875
transcript.pyannote[2118].end 9398.89971875
transcript.pyannote[2119].speaker SPEAKER_41
transcript.pyannote[2119].start 9399.15284375
transcript.pyannote[2119].end 9407.11784375
transcript.pyannote[2120].speaker SPEAKER_41
transcript.pyannote[2120].start 9407.47221875
transcript.pyannote[2120].end 9433.12221875
transcript.pyannote[2121].speaker SPEAKER_17
transcript.pyannote[2121].start 9428.80221875
transcript.pyannote[2121].end 9428.93721875
transcript.pyannote[2122].speaker SPEAKER_17
transcript.pyannote[2122].start 9429.15659375
transcript.pyannote[2122].end 9429.24096875
transcript.pyannote[2123].speaker SPEAKER_17
transcript.pyannote[2123].start 9433.24034375
transcript.pyannote[2123].end 9450.21659375
transcript.pyannote[2124].speaker SPEAKER_41
transcript.pyannote[2124].start 9448.24221875
transcript.pyannote[2124].end 9457.87784375
transcript.pyannote[2125].speaker SPEAKER_41
transcript.pyannote[2125].start 9458.31659375
transcript.pyannote[2125].end 9506.00534375
transcript.pyannote[2126].speaker SPEAKER_17
transcript.pyannote[2126].start 9480.16971875
transcript.pyannote[2126].end 9480.57471875
transcript.pyannote[2127].speaker SPEAKER_41
transcript.pyannote[2127].start 9506.74784375
transcript.pyannote[2127].end 9511.72596875
transcript.pyannote[2128].speaker SPEAKER_41
transcript.pyannote[2128].start 9512.48534375
transcript.pyannote[2128].end 9539.95784375
transcript.pyannote[2129].speaker SPEAKER_41
transcript.pyannote[2129].start 9540.37971875
transcript.pyannote[2129].end 9546.92721875
transcript.pyannote[2130].speaker SPEAKER_41
transcript.pyannote[2130].start 9547.31534375
transcript.pyannote[2130].end 9567.97034375
transcript.pyannote[2131].speaker SPEAKER_41
transcript.pyannote[2131].start 9568.54409375
transcript.pyannote[2131].end 9573.84284375
transcript.pyannote[2132].speaker SPEAKER_17
transcript.pyannote[2132].start 9573.84284375
transcript.pyannote[2132].end 9577.92659375
transcript.pyannote[2133].speaker SPEAKER_41
transcript.pyannote[2133].start 9578.02784375
transcript.pyannote[2133].end 9590.90346875
transcript.pyannote[2134].speaker SPEAKER_41
transcript.pyannote[2134].start 9591.08909375
transcript.pyannote[2134].end 9598.46346875
transcript.pyannote[2135].speaker SPEAKER_41
transcript.pyannote[2135].start 9599.35784375
transcript.pyannote[2135].end 9608.33534375
transcript.pyannote[2136].speaker SPEAKER_41
transcript.pyannote[2136].start 9608.89221875
transcript.pyannote[2136].end 9610.10721875
transcript.pyannote[2137].speaker SPEAKER_41
transcript.pyannote[2137].start 9610.39409375
transcript.pyannote[2137].end 9612.40221875
transcript.pyannote[2138].speaker SPEAKER_41
transcript.pyannote[2138].start 9612.55409375
transcript.pyannote[2138].end 9619.45596875
transcript.pyannote[2139].speaker SPEAKER_41
transcript.pyannote[2139].start 9620.63721875
transcript.pyannote[2139].end 9621.70034375
transcript.pyannote[2140].speaker SPEAKER_41
transcript.pyannote[2140].start 9621.80159375
transcript.pyannote[2140].end 9621.81846875
transcript.pyannote[2141].speaker SPEAKER_17
transcript.pyannote[2141].start 9621.81846875
transcript.pyannote[2141].end 9633.27659375
transcript.pyannote[2142].speaker SPEAKER_41
transcript.pyannote[2142].start 9624.67034375
transcript.pyannote[2142].end 9624.87284375
transcript.pyannote[2143].speaker SPEAKER_41
transcript.pyannote[2143].start 9631.94346875
transcript.pyannote[2143].end 9638.62596875
transcript.pyannote[2144].speaker SPEAKER_17
transcript.pyannote[2144].start 9636.78659375
transcript.pyannote[2144].end 9637.61346875
transcript.pyannote[2145].speaker SPEAKER_05
transcript.pyannote[2145].start 9639.33471875
transcript.pyannote[2145].end 9640.21221875
transcript.pyannote[2146].speaker SPEAKER_05
transcript.pyannote[2146].start 9644.48159375
transcript.pyannote[2146].end 9647.50221875
transcript.pyannote[2147].speaker SPEAKER_22
transcript.pyannote[2147].start 9659.31471875
transcript.pyannote[2147].end 9662.47034375
transcript.pyannote[2148].speaker SPEAKER_22
transcript.pyannote[2148].start 9662.58846875
transcript.pyannote[2148].end 9663.14534375
transcript.pyannote[2149].speaker SPEAKER_04
transcript.pyannote[2149].start 9663.14534375
transcript.pyannote[2149].end 9664.19159375
transcript.pyannote[2150].speaker SPEAKER_33
transcript.pyannote[2150].start 9669.92909375
transcript.pyannote[2150].end 9670.63784375
transcript.pyannote[2151].speaker SPEAKER_22
transcript.pyannote[2151].start 9671.63346875
transcript.pyannote[2151].end 9672.40971875
transcript.pyannote[2152].speaker SPEAKER_22
transcript.pyannote[2152].start 9673.00034375
transcript.pyannote[2152].end 9682.75409375
transcript.pyannote[2153].speaker SPEAKER_22
transcript.pyannote[2153].start 9682.87221875
transcript.pyannote[2153].end 9700.11846875
transcript.pyannote[2154].speaker SPEAKER_36
transcript.pyannote[2154].start 9700.43909375
transcript.pyannote[2154].end 9702.51471875
transcript.pyannote[2155].speaker SPEAKER_36
transcript.pyannote[2155].start 9703.18971875
transcript.pyannote[2155].end 9703.74659375
transcript.pyannote[2156].speaker SPEAKER_36
transcript.pyannote[2156].start 9704.15159375
transcript.pyannote[2156].end 9707.88096875
transcript.pyannote[2157].speaker SPEAKER_33
transcript.pyannote[2157].start 9706.17659375
transcript.pyannote[2157].end 9706.58159375
transcript.pyannote[2158].speaker SPEAKER_22
transcript.pyannote[2158].start 9706.58159375
transcript.pyannote[2158].end 9706.59846875
transcript.pyannote[2159].speaker SPEAKER_36
transcript.pyannote[2159].start 9708.06659375
transcript.pyannote[2159].end 9709.34909375
transcript.pyannote[2160].speaker SPEAKER_36
transcript.pyannote[2160].start 9710.00721875
transcript.pyannote[2160].end 9713.66909375
transcript.pyannote[2161].speaker SPEAKER_36
transcript.pyannote[2161].start 9713.82096875
transcript.pyannote[2161].end 9715.18784375
transcript.pyannote[2162].speaker SPEAKER_36
transcript.pyannote[2162].start 9715.42409375
transcript.pyannote[2162].end 9718.07346875
transcript.pyannote[2163].speaker SPEAKER_22
transcript.pyannote[2163].start 9718.79909375
transcript.pyannote[2163].end 9720.14909375
transcript.pyannote[2164].speaker SPEAKER_22
transcript.pyannote[2164].start 9720.82409375
transcript.pyannote[2164].end 9726.17346875
transcript.pyannote[2165].speaker SPEAKER_36
transcript.pyannote[2165].start 9725.02596875
transcript.pyannote[2165].end 9729.05909375
transcript.pyannote[2166].speaker SPEAKER_22
transcript.pyannote[2166].start 9727.45596875
transcript.pyannote[2166].end 9738.54284375
transcript.pyannote[2167].speaker SPEAKER_36
transcript.pyannote[2167].start 9735.72471875
transcript.pyannote[2167].end 9736.31534375
transcript.pyannote[2168].speaker SPEAKER_37
transcript.pyannote[2168].start 9736.31534375
transcript.pyannote[2168].end 9738.64409375
transcript.pyannote[2169].speaker SPEAKER_22
transcript.pyannote[2169].start 9738.64409375
transcript.pyannote[2169].end 9757.05471875
transcript.pyannote[2170].speaker SPEAKER_37
transcript.pyannote[2170].start 9738.74534375
transcript.pyannote[2170].end 9739.16721875
transcript.pyannote[2171].speaker SPEAKER_36
transcript.pyannote[2171].start 9739.16721875
transcript.pyannote[2171].end 9739.18409375
transcript.pyannote[2172].speaker SPEAKER_36
transcript.pyannote[2172].start 9740.43284375
transcript.pyannote[2172].end 9740.44971875
transcript.pyannote[2173].speaker SPEAKER_37
transcript.pyannote[2173].start 9740.44971875
transcript.pyannote[2173].end 9740.68596875
transcript.pyannote[2174].speaker SPEAKER_36
transcript.pyannote[2174].start 9740.68596875
transcript.pyannote[2174].end 9740.75346875
transcript.pyannote[2175].speaker SPEAKER_36
transcript.pyannote[2175].start 9744.87096875
transcript.pyannote[2175].end 9745.05659375
transcript.pyannote[2176].speaker SPEAKER_36
transcript.pyannote[2176].start 9746.30534375
transcript.pyannote[2176].end 9746.35596875
transcript.pyannote[2177].speaker SPEAKER_37
transcript.pyannote[2177].start 9746.35596875
transcript.pyannote[2177].end 9747.25034375
transcript.pyannote[2178].speaker SPEAKER_36
transcript.pyannote[2178].start 9747.25034375
transcript.pyannote[2178].end 9747.26721875
transcript.pyannote[2179].speaker SPEAKER_00
transcript.pyannote[2179].start 9747.26721875
transcript.pyannote[2179].end 9747.28409375
transcript.pyannote[2180].speaker SPEAKER_00
transcript.pyannote[2180].start 9748.44846875
transcript.pyannote[2180].end 9748.48221875
transcript.pyannote[2181].speaker SPEAKER_36
transcript.pyannote[2181].start 9748.48221875
transcript.pyannote[2181].end 9748.92096875
transcript.pyannote[2182].speaker SPEAKER_36
transcript.pyannote[2182].start 9757.94909375
transcript.pyannote[2182].end 9760.71659375
transcript.pyannote[2183].speaker SPEAKER_36
transcript.pyannote[2183].start 9760.98659375
transcript.pyannote[2183].end 9767.88846875
transcript.pyannote[2184].speaker SPEAKER_33
transcript.pyannote[2184].start 9766.97721875
transcript.pyannote[2184].end 9767.36534375
transcript.pyannote[2185].speaker SPEAKER_36
transcript.pyannote[2185].start 9768.14159375
transcript.pyannote[2185].end 9777.05159375
transcript.pyannote[2186].speaker SPEAKER_36
transcript.pyannote[2186].start 9777.27096875
transcript.pyannote[2186].end 9779.63346875
transcript.pyannote[2187].speaker SPEAKER_22
transcript.pyannote[2187].start 9779.92034375
transcript.pyannote[2187].end 9799.88346875
transcript.pyannote[2188].speaker SPEAKER_36
transcript.pyannote[2188].start 9785.64096875
transcript.pyannote[2188].end 9786.56909375
transcript.pyannote[2189].speaker SPEAKER_00
transcript.pyannote[2189].start 9786.56909375
transcript.pyannote[2189].end 9786.67034375
transcript.pyannote[2190].speaker SPEAKER_36
transcript.pyannote[2190].start 9786.67034375
transcript.pyannote[2190].end 9787.96971875
transcript.pyannote[2191].speaker SPEAKER_00
transcript.pyannote[2191].start 9787.96971875
transcript.pyannote[2191].end 9788.49284375
transcript.pyannote[2192].speaker SPEAKER_36
transcript.pyannote[2192].start 9791.20971875
transcript.pyannote[2192].end 9792.49221875
transcript.pyannote[2193].speaker SPEAKER_36
transcript.pyannote[2193].start 9794.63534375
transcript.pyannote[2193].end 9794.73659375
transcript.pyannote[2194].speaker SPEAKER_33
transcript.pyannote[2194].start 9795.63096875
transcript.pyannote[2194].end 9795.64784375
transcript.pyannote[2195].speaker SPEAKER_36
transcript.pyannote[2195].start 9795.64784375
transcript.pyannote[2195].end 9796.99784375
transcript.pyannote[2196].speaker SPEAKER_36
transcript.pyannote[2196].start 9799.36034375
transcript.pyannote[2196].end 9806.98784375
transcript.pyannote[2197].speaker SPEAKER_22
transcript.pyannote[2197].start 9803.46096875
transcript.pyannote[2197].end 9805.80659375
transcript.pyannote[2198].speaker SPEAKER_22
transcript.pyannote[2198].start 9806.48159375
transcript.pyannote[2198].end 9806.81909375
transcript.pyannote[2199].speaker SPEAKER_22
transcript.pyannote[2199].start 9806.98784375
transcript.pyannote[2199].end 9807.03846875
transcript.pyannote[2200].speaker SPEAKER_22
transcript.pyannote[2200].start 9807.19034375
transcript.pyannote[2200].end 9813.06284375
transcript.pyannote[2201].speaker SPEAKER_36
transcript.pyannote[2201].start 9807.22409375
transcript.pyannote[2201].end 9807.57846875
transcript.pyannote[2202].speaker SPEAKER_22
transcript.pyannote[2202].start 9813.26534375
transcript.pyannote[2202].end 9813.97409375
transcript.pyannote[2203].speaker SPEAKER_36
transcript.pyannote[2203].start 9813.29909375
transcript.pyannote[2203].end 9820.53846875
transcript.pyannote[2204].speaker SPEAKER_36
transcript.pyannote[2204].start 9820.70721875
transcript.pyannote[2204].end 9822.22596875
transcript.pyannote[2205].speaker SPEAKER_43
transcript.pyannote[2205].start 9820.75784375
transcript.pyannote[2205].end 9821.24721875
transcript.pyannote[2206].speaker SPEAKER_36
transcript.pyannote[2206].start 9822.71534375
transcript.pyannote[2206].end 9823.33971875
transcript.pyannote[2207].speaker SPEAKER_36
transcript.pyannote[2207].start 9823.47471875
transcript.pyannote[2207].end 9833.59971875
transcript.pyannote[2208].speaker SPEAKER_43
transcript.pyannote[2208].start 9826.49534375
transcript.pyannote[2208].end 9826.78221875
transcript.pyannote[2209].speaker SPEAKER_00
transcript.pyannote[2209].start 9826.78221875
transcript.pyannote[2209].end 9826.79909375
transcript.pyannote[2210].speaker SPEAKER_43
transcript.pyannote[2210].start 9829.33034375
transcript.pyannote[2210].end 9829.38096875
transcript.pyannote[2211].speaker SPEAKER_22
transcript.pyannote[2211].start 9829.38096875
transcript.pyannote[2211].end 9829.68471875
transcript.pyannote[2212].speaker SPEAKER_22
transcript.pyannote[2212].start 9833.59971875
transcript.pyannote[2212].end 9843.70784375
transcript.pyannote[2213].speaker SPEAKER_36
transcript.pyannote[2213].start 9834.61221875
transcript.pyannote[2213].end 9834.67971875
transcript.pyannote[2214].speaker SPEAKER_22
transcript.pyannote[2214].start 9843.92721875
transcript.pyannote[2214].end 9845.53034375
transcript.pyannote[2215].speaker SPEAKER_22
transcript.pyannote[2215].start 9846.20534375
transcript.pyannote[2215].end 9850.89659375
transcript.pyannote[2216].speaker SPEAKER_36
transcript.pyannote[2216].start 9846.30659375
transcript.pyannote[2216].end 9846.76221875
transcript.pyannote[2217].speaker SPEAKER_36
transcript.pyannote[2217].start 9847.20096875
transcript.pyannote[2217].end 9847.80846875
transcript.pyannote[2218].speaker SPEAKER_36
transcript.pyannote[2218].start 9848.83784375
transcript.pyannote[2218].end 9850.10346875
transcript.pyannote[2219].speaker SPEAKER_36
transcript.pyannote[2219].start 9850.82909375
transcript.pyannote[2219].end 9852.09471875
transcript.pyannote[2220].speaker SPEAKER_22
transcript.pyannote[2220].start 9851.48721875
transcript.pyannote[2220].end 9858.08534375
transcript.pyannote[2221].speaker SPEAKER_22
transcript.pyannote[2221].start 9858.45659375
transcript.pyannote[2221].end 9859.09784375
transcript.pyannote[2222].speaker SPEAKER_22
transcript.pyannote[2222].start 9859.50284375
transcript.pyannote[2222].end 9862.94534375
transcript.pyannote[2223].speaker SPEAKER_22
transcript.pyannote[2223].start 9863.13096875
transcript.pyannote[2223].end 9868.14284375
transcript.pyannote[2224].speaker SPEAKER_22
transcript.pyannote[2224].start 9868.56471875
transcript.pyannote[2224].end 9873.20534375
transcript.pyannote[2225].speaker SPEAKER_22
transcript.pyannote[2225].start 9873.77909375
transcript.pyannote[2225].end 9875.36534375
transcript.pyannote[2226].speaker SPEAKER_22
transcript.pyannote[2226].start 9875.73659375
transcript.pyannote[2226].end 9883.76909375
transcript.pyannote[2227].speaker SPEAKER_22
transcript.pyannote[2227].start 9884.15721875
transcript.pyannote[2227].end 9890.09721875
transcript.pyannote[2228].speaker SPEAKER_22
transcript.pyannote[2228].start 9890.36721875
transcript.pyannote[2228].end 9894.50159375
transcript.pyannote[2229].speaker SPEAKER_36
transcript.pyannote[2229].start 9895.09221875
transcript.pyannote[2229].end 9902.66909375
transcript.pyannote[2230].speaker SPEAKER_36
transcript.pyannote[2230].start 9903.10784375
transcript.pyannote[2230].end 9904.05284375
transcript.pyannote[2231].speaker SPEAKER_36
transcript.pyannote[2231].start 9904.32284375
transcript.pyannote[2231].end 9921.41721875
transcript.pyannote[2232].speaker SPEAKER_33
transcript.pyannote[2232].start 9918.04221875
transcript.pyannote[2232].end 9918.46409375
transcript.pyannote[2233].speaker SPEAKER_33
transcript.pyannote[2233].start 9921.41721875
transcript.pyannote[2233].end 9921.56909375
transcript.pyannote[2234].speaker SPEAKER_22
transcript.pyannote[2234].start 9921.56909375
transcript.pyannote[2234].end 9921.63659375
transcript.pyannote[2235].speaker SPEAKER_33
transcript.pyannote[2235].start 9921.63659375
transcript.pyannote[2235].end 9921.67034375
transcript.pyannote[2236].speaker SPEAKER_22
transcript.pyannote[2236].start 9921.67034375
transcript.pyannote[2236].end 9921.72096875
transcript.pyannote[2237].speaker SPEAKER_33
transcript.pyannote[2237].start 9921.72096875
transcript.pyannote[2237].end 9921.75471875
transcript.pyannote[2238].speaker SPEAKER_36
transcript.pyannote[2238].start 9921.75471875
transcript.pyannote[2238].end 9925.92284375
transcript.pyannote[2239].speaker SPEAKER_22
transcript.pyannote[2239].start 9925.70346875
transcript.pyannote[2239].end 9932.63909375
transcript.pyannote[2240].speaker SPEAKER_36
transcript.pyannote[2240].start 9932.40284375
transcript.pyannote[2240].end 9943.27034375
transcript.pyannote[2241].speaker SPEAKER_36
transcript.pyannote[2241].start 9943.67534375
transcript.pyannote[2241].end 9954.44159375
transcript.pyannote[2242].speaker SPEAKER_17
transcript.pyannote[2242].start 9946.02096875
transcript.pyannote[2242].end 9946.05471875
transcript.pyannote[2243].speaker SPEAKER_33
transcript.pyannote[2243].start 9946.05471875
transcript.pyannote[2243].end 9946.45971875
transcript.pyannote[2244].speaker SPEAKER_22
transcript.pyannote[2244].start 9948.58596875
transcript.pyannote[2244].end 9948.60284375
transcript.pyannote[2245].speaker SPEAKER_33
transcript.pyannote[2245].start 9948.60284375
transcript.pyannote[2245].end 9949.04159375
transcript.pyannote[2246].speaker SPEAKER_33
transcript.pyannote[2246].start 9954.44159375
transcript.pyannote[2246].end 9954.69471875
transcript.pyannote[2247].speaker SPEAKER_36
transcript.pyannote[2247].start 9954.69471875
transcript.pyannote[2247].end 9954.71159375
transcript.pyannote[2248].speaker SPEAKER_36
transcript.pyannote[2248].start 9954.77909375
transcript.pyannote[2248].end 9959.75721875
transcript.pyannote[2249].speaker SPEAKER_33
transcript.pyannote[2249].start 9957.15846875
transcript.pyannote[2249].end 9957.63096875
transcript.pyannote[2250].speaker SPEAKER_22
transcript.pyannote[2250].start 9957.63096875
transcript.pyannote[2250].end 9957.64784375
transcript.pyannote[2251].speaker SPEAKER_36
transcript.pyannote[2251].start 9960.07784375
transcript.pyannote[2251].end 9963.08159375
transcript.pyannote[2252].speaker SPEAKER_22
transcript.pyannote[2252].start 9963.08159375
transcript.pyannote[2252].end 9975.34971875
transcript.pyannote[2253].speaker SPEAKER_36
transcript.pyannote[2253].start 9963.41909375
transcript.pyannote[2253].end 9964.11096875
transcript.pyannote[2254].speaker SPEAKER_36
transcript.pyannote[2254].start 9967.51971875
transcript.pyannote[2254].end 9967.53659375
transcript.pyannote[2255].speaker SPEAKER_33
transcript.pyannote[2255].start 9967.53659375
transcript.pyannote[2255].end 9968.39721875
transcript.pyannote[2256].speaker SPEAKER_22
transcript.pyannote[2256].start 9975.53534375
transcript.pyannote[2256].end 9979.73721875
transcript.pyannote[2257].speaker SPEAKER_22
transcript.pyannote[2257].start 9980.37846875
transcript.pyannote[2257].end 9984.88409375
transcript.pyannote[2258].speaker SPEAKER_22
transcript.pyannote[2258].start 9985.67721875
transcript.pyannote[2258].end 9986.79096875
transcript.pyannote[2259].speaker SPEAKER_22
transcript.pyannote[2259].start 9987.06096875
transcript.pyannote[2259].end 9993.11909375
transcript.pyannote[2260].speaker SPEAKER_22
transcript.pyannote[2260].start 9993.40596875
transcript.pyannote[2260].end 9997.84409375
transcript.pyannote[2261].speaker SPEAKER_22
transcript.pyannote[2261].start 9998.48534375
transcript.pyannote[2261].end 10010.78721875
transcript.pyannote[2262].speaker SPEAKER_00
transcript.pyannote[2262].start 9998.58659375
transcript.pyannote[2262].end 9998.60346875
transcript.pyannote[2263].speaker SPEAKER_36
transcript.pyannote[2263].start 9998.60346875
transcript.pyannote[2263].end 9999.37971875
transcript.pyannote[2264].speaker SPEAKER_36
transcript.pyannote[2264].start 9999.83534375
transcript.pyannote[2264].end 10000.13909375
transcript.pyannote[2265].speaker SPEAKER_00
transcript.pyannote[2265].start 10000.13909375
transcript.pyannote[2265].end 10000.18971875
transcript.pyannote[2266].speaker SPEAKER_00
transcript.pyannote[2266].start 10003.42971875
transcript.pyannote[2266].end 10003.54784375
transcript.pyannote[2267].speaker SPEAKER_33
transcript.pyannote[2267].start 10003.54784375
transcript.pyannote[2267].end 10003.81784375
transcript.pyannote[2268].speaker SPEAKER_00
transcript.pyannote[2268].start 10003.81784375
transcript.pyannote[2268].end 10003.85159375
transcript.pyannote[2269].speaker SPEAKER_33
transcript.pyannote[2269].start 10004.62784375
transcript.pyannote[2269].end 10004.89784375
transcript.pyannote[2270].speaker SPEAKER_33
transcript.pyannote[2270].start 10010.78721875
transcript.pyannote[2270].end 10011.10784375
transcript.pyannote[2271].speaker SPEAKER_22
transcript.pyannote[2271].start 10011.10784375
transcript.pyannote[2271].end 10020.22034375
transcript.pyannote[2272].speaker SPEAKER_36
transcript.pyannote[2272].start 10020.20346875
transcript.pyannote[2272].end 10023.71346875
transcript.pyannote[2273].speaker SPEAKER_36
transcript.pyannote[2273].start 10023.93284375
transcript.pyannote[2273].end 10030.98659375
transcript.pyannote[2274].speaker SPEAKER_22
transcript.pyannote[2274].start 10026.68346875
transcript.pyannote[2274].end 10027.03784375
transcript.pyannote[2275].speaker SPEAKER_22
transcript.pyannote[2275].start 10030.36221875
transcript.pyannote[2275].end 10049.05971875
transcript.pyannote[2276].speaker SPEAKER_36
transcript.pyannote[2276].start 10032.04971875
transcript.pyannote[2276].end 10032.80909375
transcript.pyannote[2277].speaker SPEAKER_36
transcript.pyannote[2277].start 10036.65659375
transcript.pyannote[2277].end 10036.97721875
transcript.pyannote[2278].speaker SPEAKER_22
transcript.pyannote[2278].start 10049.41409375
transcript.pyannote[2278].end 10051.96221875
transcript.pyannote[2279].speaker SPEAKER_36
transcript.pyannote[2279].start 10049.54909375
transcript.pyannote[2279].end 10049.92034375
transcript.pyannote[2280].speaker SPEAKER_36
transcript.pyannote[2280].start 10051.96221875
transcript.pyannote[2280].end 10054.78034375
transcript.pyannote[2281].speaker SPEAKER_22
transcript.pyannote[2281].start 10054.78034375
transcript.pyannote[2281].end 10055.20221875
transcript.pyannote[2282].speaker SPEAKER_22
transcript.pyannote[2282].start 10055.74221875
transcript.pyannote[2282].end 10057.56471875
transcript.pyannote[2283].speaker SPEAKER_22
transcript.pyannote[2283].start 10057.90221875
transcript.pyannote[2283].end 10071.46971875
transcript.pyannote[2284].speaker SPEAKER_36
transcript.pyannote[2284].start 10060.43346875
transcript.pyannote[2284].end 10061.15909375
transcript.pyannote[2285].speaker SPEAKER_00
transcript.pyannote[2285].start 10061.15909375
transcript.pyannote[2285].end 10061.22659375
transcript.pyannote[2286].speaker SPEAKER_00
transcript.pyannote[2286].start 10066.08659375
transcript.pyannote[2286].end 10067.74034375
transcript.pyannote[2287].speaker SPEAKER_22
transcript.pyannote[2287].start 10071.84096875
transcript.pyannote[2287].end 10087.56846875
transcript.pyannote[2288].speaker SPEAKER_36
transcript.pyannote[2288].start 10079.41784375
transcript.pyannote[2288].end 10079.48534375
transcript.pyannote[2289].speaker SPEAKER_33
transcript.pyannote[2289].start 10079.48534375
transcript.pyannote[2289].end 10079.53596875
transcript.pyannote[2290].speaker SPEAKER_00
transcript.pyannote[2290].start 10079.95784375
transcript.pyannote[2290].end 10080.02534375
transcript.pyannote[2291].speaker SPEAKER_36
transcript.pyannote[2291].start 10080.02534375
transcript.pyannote[2291].end 10081.34159375
transcript.pyannote[2292].speaker SPEAKER_36
transcript.pyannote[2292].start 10083.19784375
transcript.pyannote[2292].end 10084.00784375
transcript.pyannote[2293].speaker SPEAKER_36
transcript.pyannote[2293].start 10084.83471875
transcript.pyannote[2293].end 10085.13846875
transcript.pyannote[2294].speaker SPEAKER_36
transcript.pyannote[2294].start 10087.46721875
transcript.pyannote[2294].end 10093.37346875
transcript.pyannote[2295].speaker SPEAKER_22
transcript.pyannote[2295].start 10089.05346875
transcript.pyannote[2295].end 10089.22221875
transcript.pyannote[2296].speaker SPEAKER_22
transcript.pyannote[2296].start 10091.68596875
transcript.pyannote[2296].end 10092.15846875
transcript.pyannote[2297].speaker SPEAKER_36
transcript.pyannote[2297].start 10093.64346875
transcript.pyannote[2297].end 10094.01471875
transcript.pyannote[2298].speaker SPEAKER_36
transcript.pyannote[2298].start 10094.65596875
transcript.pyannote[2298].end 10096.44471875
transcript.pyannote[2299].speaker SPEAKER_36
transcript.pyannote[2299].start 10096.71471875
transcript.pyannote[2299].end 10107.17721875
transcript.pyannote[2300].speaker SPEAKER_00
transcript.pyannote[2300].start 10097.96346875
transcript.pyannote[2300].end 10098.35159375
transcript.pyannote[2301].speaker SPEAKER_00
transcript.pyannote[2301].start 10099.60034375
transcript.pyannote[2301].end 10099.75221875
transcript.pyannote[2302].speaker SPEAKER_22
transcript.pyannote[2302].start 10099.75221875
transcript.pyannote[2302].end 10099.85346875
transcript.pyannote[2303].speaker SPEAKER_00
transcript.pyannote[2303].start 10099.85346875
transcript.pyannote[2303].end 10099.92096875
transcript.pyannote[2304].speaker SPEAKER_22
transcript.pyannote[2304].start 10107.17721875
transcript.pyannote[2304].end 10107.27846875
transcript.pyannote[2305].speaker SPEAKER_36
transcript.pyannote[2305].start 10107.27846875
transcript.pyannote[2305].end 10107.48096875
transcript.pyannote[2306].speaker SPEAKER_22
transcript.pyannote[2306].start 10107.48096875
transcript.pyannote[2306].end 10125.01409375
transcript.pyannote[2307].speaker SPEAKER_22
transcript.pyannote[2307].start 10125.43596875
transcript.pyannote[2307].end 10140.16784375
transcript.pyannote[2308].speaker SPEAKER_00
transcript.pyannote[2308].start 10125.48659375
transcript.pyannote[2308].end 10126.11096875
transcript.pyannote[2309].speaker SPEAKER_36
transcript.pyannote[2309].start 10139.30721875
transcript.pyannote[2309].end 10154.96721875
transcript.pyannote[2310].speaker SPEAKER_22
transcript.pyannote[2310].start 10142.31096875
transcript.pyannote[2310].end 10142.64846875
transcript.pyannote[2311].speaker SPEAKER_22
transcript.pyannote[2311].start 10143.03659375
transcript.pyannote[2311].end 10143.49221875
transcript.pyannote[2312].speaker SPEAKER_22
transcript.pyannote[2312].start 10145.88846875
transcript.pyannote[2312].end 10146.31034375
transcript.pyannote[2313].speaker SPEAKER_37
transcript.pyannote[2313].start 10151.01846875
transcript.pyannote[2313].end 10151.03534375
transcript.pyannote[2314].speaker SPEAKER_22
transcript.pyannote[2314].start 10151.03534375
transcript.pyannote[2314].end 10151.22096875
transcript.pyannote[2315].speaker SPEAKER_37
transcript.pyannote[2315].start 10151.22096875
transcript.pyannote[2315].end 10151.27159375
transcript.pyannote[2316].speaker SPEAKER_22
transcript.pyannote[2316].start 10152.36846875
transcript.pyannote[2316].end 10152.75659375
transcript.pyannote[2317].speaker SPEAKER_22
transcript.pyannote[2317].start 10154.96721875
transcript.pyannote[2317].end 10168.83846875
transcript.pyannote[2318].speaker SPEAKER_37
transcript.pyannote[2318].start 10167.23534375
transcript.pyannote[2318].end 10167.28596875
transcript.pyannote[2319].speaker SPEAKER_05
transcript.pyannote[2319].start 10167.28596875
transcript.pyannote[2319].end 10167.30284375
transcript.pyannote[2320].speaker SPEAKER_33
transcript.pyannote[2320].start 10167.30284375
transcript.pyannote[2320].end 10167.57284375
transcript.pyannote[2321].speaker SPEAKER_05
transcript.pyannote[2321].start 10170.52596875
transcript.pyannote[2321].end 10172.04471875
transcript.pyannote[2322].speaker SPEAKER_05
transcript.pyannote[2322].start 10174.44096875
transcript.pyannote[2322].end 10176.98909375
transcript.pyannote[2323].speaker SPEAKER_20
transcript.pyannote[2323].start 10187.62034375
transcript.pyannote[2323].end 10189.05471875
transcript.pyannote[2324].speaker SPEAKER_03
transcript.pyannote[2324].start 10189.49346875
transcript.pyannote[2324].end 10190.57346875
transcript.pyannote[2325].speaker SPEAKER_36
transcript.pyannote[2325].start 10197.76221875
transcript.pyannote[2325].end 10197.77909375
transcript.pyannote[2326].speaker SPEAKER_20
transcript.pyannote[2326].start 10197.77909375
transcript.pyannote[2326].end 10207.98846875
transcript.pyannote[2327].speaker SPEAKER_36
transcript.pyannote[2327].start 10197.86346875
transcript.pyannote[2327].end 10198.23471875
transcript.pyannote[2328].speaker SPEAKER_33
transcript.pyannote[2328].start 10205.08596875
transcript.pyannote[2328].end 10205.50784375
transcript.pyannote[2329].speaker SPEAKER_33
transcript.pyannote[2329].start 10207.81971875
transcript.pyannote[2329].end 10208.12346875
transcript.pyannote[2330].speaker SPEAKER_20
transcript.pyannote[2330].start 10208.12346875
transcript.pyannote[2330].end 10209.16971875
transcript.pyannote[2331].speaker SPEAKER_33
transcript.pyannote[2331].start 10209.16971875
transcript.pyannote[2331].end 10209.30471875
transcript.pyannote[2332].speaker SPEAKER_20
transcript.pyannote[2332].start 10209.30471875
transcript.pyannote[2332].end 10212.54471875
transcript.pyannote[2333].speaker SPEAKER_33
transcript.pyannote[2333].start 10209.32159375
transcript.pyannote[2333].end 10210.01346875
transcript.pyannote[2334].speaker SPEAKER_36
transcript.pyannote[2334].start 10213.94534375
transcript.pyannote[2334].end 10221.47159375
transcript.pyannote[2335].speaker SPEAKER_20
transcript.pyannote[2335].start 10221.47159375
transcript.pyannote[2335].end 10222.29846875
transcript.pyannote[2336].speaker SPEAKER_36
transcript.pyannote[2336].start 10222.29846875
transcript.pyannote[2336].end 10223.15909375
transcript.pyannote[2337].speaker SPEAKER_20
transcript.pyannote[2337].start 10223.00721875
transcript.pyannote[2337].end 10223.93534375
transcript.pyannote[2338].speaker SPEAKER_20
transcript.pyannote[2338].start 10224.77909375
transcript.pyannote[2338].end 10228.69409375
transcript.pyannote[2339].speaker SPEAKER_36
transcript.pyannote[2339].start 10224.94784375
transcript.pyannote[2339].end 10225.26846875
transcript.pyannote[2340].speaker SPEAKER_36
transcript.pyannote[2340].start 10228.69409375
transcript.pyannote[2340].end 10230.33096875
transcript.pyannote[2341].speaker SPEAKER_20
transcript.pyannote[2341].start 10229.57159375
transcript.pyannote[2341].end 10232.17034375
transcript.pyannote[2342].speaker SPEAKER_36
transcript.pyannote[2342].start 10231.56284375
transcript.pyannote[2342].end 10233.30096875
transcript.pyannote[2343].speaker SPEAKER_20
transcript.pyannote[2343].start 10233.30096875
transcript.pyannote[2343].end 10233.63846875
transcript.pyannote[2344].speaker SPEAKER_36
transcript.pyannote[2344].start 10233.48659375
transcript.pyannote[2344].end 10233.62159375
transcript.pyannote[2345].speaker SPEAKER_36
transcript.pyannote[2345].start 10233.63846875
transcript.pyannote[2345].end 10235.19096875
transcript.pyannote[2346].speaker SPEAKER_36
transcript.pyannote[2346].start 10235.46096875
transcript.pyannote[2346].end 10235.66346875
transcript.pyannote[2347].speaker SPEAKER_36
transcript.pyannote[2347].start 10235.76471875
transcript.pyannote[2347].end 10237.73909375
transcript.pyannote[2348].speaker SPEAKER_20
transcript.pyannote[2348].start 10237.43534375
transcript.pyannote[2348].end 10245.34971875
transcript.pyannote[2349].speaker SPEAKER_33
transcript.pyannote[2349].start 10243.67909375
transcript.pyannote[2349].end 10244.75909375
transcript.pyannote[2350].speaker SPEAKER_20
transcript.pyannote[2350].start 10245.46784375
transcript.pyannote[2350].end 10248.80909375
transcript.pyannote[2351].speaker SPEAKER_17
transcript.pyannote[2351].start 10245.77159375
transcript.pyannote[2351].end 10245.78846875
transcript.pyannote[2352].speaker SPEAKER_33
transcript.pyannote[2352].start 10245.78846875
transcript.pyannote[2352].end 10247.05409375
transcript.pyannote[2353].speaker SPEAKER_33
transcript.pyannote[2353].start 10248.97784375
transcript.pyannote[2353].end 10250.19284375
transcript.pyannote[2354].speaker SPEAKER_20
transcript.pyannote[2354].start 10249.18034375
transcript.pyannote[2354].end 10267.62471875
transcript.pyannote[2355].speaker SPEAKER_20
transcript.pyannote[2355].start 10267.97909375
transcript.pyannote[2355].end 10273.64909375
transcript.pyannote[2356].speaker SPEAKER_36
transcript.pyannote[2356].start 10273.66596875
transcript.pyannote[2356].end 10274.67846875
transcript.pyannote[2357].speaker SPEAKER_20
transcript.pyannote[2357].start 10274.52659375
transcript.pyannote[2357].end 10275.99471875
transcript.pyannote[2358].speaker SPEAKER_36
transcript.pyannote[2358].start 10276.77096875
transcript.pyannote[2358].end 10280.02784375
transcript.pyannote[2359].speaker SPEAKER_20
transcript.pyannote[2359].start 10280.02784375
transcript.pyannote[2359].end 10280.93909375
transcript.pyannote[2360].speaker SPEAKER_20
transcript.pyannote[2360].start 10281.20909375
transcript.pyannote[2360].end 10283.90909375
transcript.pyannote[2361].speaker SPEAKER_36
transcript.pyannote[2361].start 10284.58409375
transcript.pyannote[2361].end 10285.95096875
transcript.pyannote[2362].speaker SPEAKER_20
transcript.pyannote[2362].start 10285.91721875
transcript.pyannote[2362].end 10287.87471875
transcript.pyannote[2363].speaker SPEAKER_36
transcript.pyannote[2363].start 10286.17034375
transcript.pyannote[2363].end 10286.84534375
transcript.pyannote[2364].speaker SPEAKER_36
transcript.pyannote[2364].start 10287.95909375
transcript.pyannote[2364].end 10288.63409375
transcript.pyannote[2365].speaker SPEAKER_20
transcript.pyannote[2365].start 10289.02221875
transcript.pyannote[2365].end 10293.46034375
transcript.pyannote[2366].speaker SPEAKER_36
transcript.pyannote[2366].start 10291.63784375
transcript.pyannote[2366].end 10293.32534375
transcript.pyannote[2367].speaker SPEAKER_36
transcript.pyannote[2367].start 10293.69659375
transcript.pyannote[2367].end 10295.04659375
transcript.pyannote[2368].speaker SPEAKER_20
transcript.pyannote[2368].start 10294.48971875
transcript.pyannote[2368].end 10302.03284375
transcript.pyannote[2369].speaker SPEAKER_33
transcript.pyannote[2369].start 10302.03284375
transcript.pyannote[2369].end 10302.62346875
transcript.pyannote[2370].speaker SPEAKER_20
transcript.pyannote[2370].start 10302.37034375
transcript.pyannote[2370].end 10308.88409375
transcript.pyannote[2371].speaker SPEAKER_20
transcript.pyannote[2371].start 10309.57596875
transcript.pyannote[2371].end 10318.24971875
transcript.pyannote[2372].speaker SPEAKER_36
transcript.pyannote[2372].start 10315.07721875
transcript.pyannote[2372].end 10316.12346875
transcript.pyannote[2373].speaker SPEAKER_36
transcript.pyannote[2373].start 10317.77721875
transcript.pyannote[2373].end 10321.64159375
transcript.pyannote[2374].speaker SPEAKER_20
transcript.pyannote[2374].start 10319.26221875
transcript.pyannote[2374].end 10328.49284375
transcript.pyannote[2375].speaker SPEAKER_20
transcript.pyannote[2375].start 10328.76284375
transcript.pyannote[2375].end 10331.71596875
transcript.pyannote[2376].speaker SPEAKER_20
transcript.pyannote[2376].start 10331.95221875
transcript.pyannote[2376].end 10337.25096875
transcript.pyannote[2377].speaker SPEAKER_20
transcript.pyannote[2377].start 10337.45346875
transcript.pyannote[2377].end 10340.28846875
transcript.pyannote[2378].speaker SPEAKER_20
transcript.pyannote[2378].start 10340.50784375
transcript.pyannote[2378].end 10342.39784375
transcript.pyannote[2379].speaker SPEAKER_20
transcript.pyannote[2379].start 10342.85346875
transcript.pyannote[2379].end 10345.99221875
transcript.pyannote[2380].speaker SPEAKER_20
transcript.pyannote[2380].start 10346.53221875
transcript.pyannote[2380].end 10368.65534375
transcript.pyannote[2381].speaker SPEAKER_00
transcript.pyannote[2381].start 10350.90284375
transcript.pyannote[2381].end 10351.03784375
transcript.pyannote[2382].speaker SPEAKER_39
transcript.pyannote[2382].start 10351.03784375
transcript.pyannote[2382].end 10351.76346875
transcript.pyannote[2383].speaker SPEAKER_00
transcript.pyannote[2383].start 10351.76346875
transcript.pyannote[2383].end 10351.81409375
transcript.pyannote[2384].speaker SPEAKER_20
transcript.pyannote[2384].start 10368.99284375
transcript.pyannote[2384].end 10371.62534375
transcript.pyannote[2385].speaker SPEAKER_36
transcript.pyannote[2385].start 10371.91221875
transcript.pyannote[2385].end 10373.49846875
transcript.pyannote[2386].speaker SPEAKER_20
transcript.pyannote[2386].start 10373.09346875
transcript.pyannote[2386].end 10374.71346875
transcript.pyannote[2387].speaker SPEAKER_36
transcript.pyannote[2387].start 10374.62909375
transcript.pyannote[2387].end 10375.15221875
transcript.pyannote[2388].speaker SPEAKER_20
transcript.pyannote[2388].start 10375.11846875
transcript.pyannote[2388].end 10378.24034375
transcript.pyannote[2389].speaker SPEAKER_36
transcript.pyannote[2389].start 10376.29971875
transcript.pyannote[2389].end 10376.78909375
transcript.pyannote[2390].speaker SPEAKER_36
transcript.pyannote[2390].start 10378.76346875
transcript.pyannote[2390].end 10383.10034375
transcript.pyannote[2391].speaker SPEAKER_20
transcript.pyannote[2391].start 10380.94034375
transcript.pyannote[2391].end 10403.78909375
transcript.pyannote[2392].speaker SPEAKER_36
transcript.pyannote[2392].start 10388.02784375
transcript.pyannote[2392].end 10388.95596875
transcript.pyannote[2393].speaker SPEAKER_39
transcript.pyannote[2393].start 10388.95596875
transcript.pyannote[2393].end 10388.97284375
transcript.pyannote[2394].speaker SPEAKER_33
transcript.pyannote[2394].start 10388.97284375
transcript.pyannote[2394].end 10389.07409375
transcript.pyannote[2395].speaker SPEAKER_39
transcript.pyannote[2395].start 10389.07409375
transcript.pyannote[2395].end 10389.66471875
transcript.pyannote[2396].speaker SPEAKER_33
transcript.pyannote[2396].start 10389.66471875
transcript.pyannote[2396].end 10390.25534375
transcript.pyannote[2397].speaker SPEAKER_39
transcript.pyannote[2397].start 10390.25534375
transcript.pyannote[2397].end 10390.69409375
transcript.pyannote[2398].speaker SPEAKER_33
transcript.pyannote[2398].start 10390.69409375
transcript.pyannote[2398].end 10390.87971875
transcript.pyannote[2399].speaker SPEAKER_39
transcript.pyannote[2399].start 10390.87971875
transcript.pyannote[2399].end 10390.99784375
transcript.pyannote[2400].speaker SPEAKER_20
transcript.pyannote[2400].start 10404.59909375
transcript.pyannote[2400].end 10405.18971875
transcript.pyannote[2401].speaker SPEAKER_36
transcript.pyannote[2401].start 10404.80159375
transcript.pyannote[2401].end 10405.13909375
transcript.pyannote[2402].speaker SPEAKER_36
transcript.pyannote[2402].start 10405.18971875
transcript.pyannote[2402].end 10413.03659375
transcript.pyannote[2403].speaker SPEAKER_20
transcript.pyannote[2403].start 10406.62409375
transcript.pyannote[2403].end 10408.15971875
transcript.pyannote[2404].speaker SPEAKER_20
transcript.pyannote[2404].start 10412.15909375
transcript.pyannote[2404].end 10418.06534375
transcript.pyannote[2405].speaker SPEAKER_36
transcript.pyannote[2405].start 10418.04846875
transcript.pyannote[2405].end 10423.49909375
transcript.pyannote[2406].speaker SPEAKER_20
transcript.pyannote[2406].start 10423.49909375
transcript.pyannote[2406].end 10423.60034375
transcript.pyannote[2407].speaker SPEAKER_36
transcript.pyannote[2407].start 10423.60034375
transcript.pyannote[2407].end 10424.20784375
transcript.pyannote[2408].speaker SPEAKER_20
transcript.pyannote[2408].start 10423.76909375
transcript.pyannote[2408].end 10425.40596875
transcript.pyannote[2409].speaker SPEAKER_36
transcript.pyannote[2409].start 10425.40596875
transcript.pyannote[2409].end 10431.97034375
transcript.pyannote[2410].speaker SPEAKER_20
transcript.pyannote[2410].start 10426.18221875
transcript.pyannote[2410].end 10426.73909375
transcript.pyannote[2411].speaker SPEAKER_20
transcript.pyannote[2411].start 10430.82284375
transcript.pyannote[2411].end 10431.76784375
transcript.pyannote[2412].speaker SPEAKER_20
transcript.pyannote[2412].start 10431.86909375
transcript.pyannote[2412].end 10439.61471875
transcript.pyannote[2413].speaker SPEAKER_20
transcript.pyannote[2413].start 10440.64409375
transcript.pyannote[2413].end 10441.35284375
transcript.pyannote[2414].speaker SPEAKER_36
transcript.pyannote[2414].start 10440.66096875
transcript.pyannote[2414].end 10441.26846875
transcript.pyannote[2415].speaker SPEAKER_36
transcript.pyannote[2415].start 10441.53846875
transcript.pyannote[2415].end 10448.25471875
transcript.pyannote[2416].speaker SPEAKER_20
transcript.pyannote[2416].start 10443.14159375
transcript.pyannote[2416].end 10443.47909375
transcript.pyannote[2417].speaker SPEAKER_20
transcript.pyannote[2417].start 10446.68534375
transcript.pyannote[2417].end 10448.82846875
transcript.pyannote[2418].speaker SPEAKER_20
transcript.pyannote[2418].start 10449.40221875
transcript.pyannote[2418].end 10449.94221875
transcript.pyannote[2419].speaker SPEAKER_20
transcript.pyannote[2419].start 10450.36409375
transcript.pyannote[2419].end 10450.87034375
transcript.pyannote[2420].speaker SPEAKER_36
transcript.pyannote[2420].start 10452.54096875
transcript.pyannote[2420].end 10457.48534375
transcript.pyannote[2421].speaker SPEAKER_20
transcript.pyannote[2421].start 10457.31659375
transcript.pyannote[2421].end 10459.18971875
transcript.pyannote[2422].speaker SPEAKER_36
transcript.pyannote[2422].start 10459.42596875
transcript.pyannote[2422].end 10461.29909375
transcript.pyannote[2423].speaker SPEAKER_20
transcript.pyannote[2423].start 10461.41721875
transcript.pyannote[2423].end 10462.91909375
transcript.pyannote[2424].speaker SPEAKER_20
transcript.pyannote[2424].start 10463.30721875
transcript.pyannote[2424].end 10464.85971875
transcript.pyannote[2425].speaker SPEAKER_36
transcript.pyannote[2425].start 10465.65284375
transcript.pyannote[2425].end 10470.56346875
transcript.pyannote[2426].speaker SPEAKER_42
transcript.pyannote[2426].start 10470.56346875
transcript.pyannote[2426].end 10470.68159375
transcript.pyannote[2427].speaker SPEAKER_36
transcript.pyannote[2427].start 10471.18784375
transcript.pyannote[2427].end 10474.64721875
transcript.pyannote[2428].speaker SPEAKER_20
transcript.pyannote[2428].start 10475.03534375
transcript.pyannote[2428].end 10478.20784375
transcript.pyannote[2429].speaker SPEAKER_36
transcript.pyannote[2429].start 10478.20784375
transcript.pyannote[2429].end 10479.40596875
transcript.pyannote[2430].speaker SPEAKER_20
transcript.pyannote[2430].start 10479.40596875
transcript.pyannote[2430].end 10480.75596875
transcript.pyannote[2431].speaker SPEAKER_36
transcript.pyannote[2431].start 10481.58284375
transcript.pyannote[2431].end 10483.84409375
transcript.pyannote[2432].speaker SPEAKER_20
transcript.pyannote[2432].start 10482.93284375
transcript.pyannote[2432].end 10490.54346875
transcript.pyannote[2433].speaker SPEAKER_36
transcript.pyannote[2433].start 10488.28221875
transcript.pyannote[2433].end 10490.45909375
transcript.pyannote[2434].speaker SPEAKER_36
transcript.pyannote[2434].start 10490.71221875
transcript.pyannote[2434].end 10492.01159375
transcript.pyannote[2435].speaker SPEAKER_20
transcript.pyannote[2435].start 10491.03284375
transcript.pyannote[2435].end 10493.46284375
transcript.pyannote[2436].speaker SPEAKER_36
transcript.pyannote[2436].start 10493.09159375
transcript.pyannote[2436].end 10497.07409375
transcript.pyannote[2437].speaker SPEAKER_20
transcript.pyannote[2437].start 10496.39909375
transcript.pyannote[2437].end 10502.08596875
transcript.pyannote[2438].speaker SPEAKER_05
transcript.pyannote[2438].start 10506.91221875
transcript.pyannote[2438].end 10507.68846875
transcript.pyannote[2439].speaker SPEAKER_05
transcript.pyannote[2439].start 10509.84846875
transcript.pyannote[2439].end 10512.32909375
transcript.pyannote[2440].speaker SPEAKER_21
transcript.pyannote[2440].start 10520.76659375
transcript.pyannote[2440].end 10522.57221875
transcript.pyannote[2441].speaker SPEAKER_05
transcript.pyannote[2441].start 10523.17971875
transcript.pyannote[2441].end 10524.39471875
transcript.pyannote[2442].speaker SPEAKER_21
transcript.pyannote[2442].start 10524.17534375
transcript.pyannote[2442].end 10526.72346875
transcript.pyannote[2443].speaker SPEAKER_05
transcript.pyannote[2443].start 10526.26784375
transcript.pyannote[2443].end 10527.38159375
transcript.pyannote[2444].speaker SPEAKER_21
transcript.pyannote[2444].start 10527.04409375
transcript.pyannote[2444].end 10527.88784375
transcript.pyannote[2445].speaker SPEAKER_33
transcript.pyannote[2445].start 10527.38159375
transcript.pyannote[2445].end 10527.39846875
transcript.pyannote[2446].speaker SPEAKER_21
transcript.pyannote[2446].start 10529.11971875
transcript.pyannote[2446].end 10531.71846875
transcript.pyannote[2447].speaker SPEAKER_33
transcript.pyannote[2447].start 10530.94221875
transcript.pyannote[2447].end 10531.97159375
transcript.pyannote[2448].speaker SPEAKER_21
transcript.pyannote[2448].start 10531.97159375
transcript.pyannote[2448].end 10538.90721875
transcript.pyannote[2449].speaker SPEAKER_33
transcript.pyannote[2449].start 10532.00534375
transcript.pyannote[2449].end 10532.12346875
transcript.pyannote[2450].speaker SPEAKER_21
transcript.pyannote[2450].start 10539.46409375
transcript.pyannote[2450].end 10543.83471875
transcript.pyannote[2451].speaker SPEAKER_21
transcript.pyannote[2451].start 10544.37471875
transcript.pyannote[2451].end 10553.65596875
transcript.pyannote[2452].speaker SPEAKER_21
transcript.pyannote[2452].start 10554.04409375
transcript.pyannote[2452].end 10561.72221875
transcript.pyannote[2453].speaker SPEAKER_14
transcript.pyannote[2453].start 10562.12721875
transcript.pyannote[2453].end 10573.65284375
transcript.pyannote[2454].speaker SPEAKER_21
transcript.pyannote[2454].start 10574.34471875
transcript.pyannote[2454].end 10579.30596875
transcript.pyannote[2455].speaker SPEAKER_21
transcript.pyannote[2455].start 10579.59284375
transcript.pyannote[2455].end 10580.84159375
transcript.pyannote[2456].speaker SPEAKER_21
transcript.pyannote[2456].start 10580.95971875
transcript.pyannote[2456].end 10583.28846875
transcript.pyannote[2457].speaker SPEAKER_21
transcript.pyannote[2457].start 10583.87909375
transcript.pyannote[2457].end 10585.70159375
transcript.pyannote[2458].speaker SPEAKER_14
transcript.pyannote[2458].start 10586.46096875
transcript.pyannote[2458].end 10594.84784375
transcript.pyannote[2459].speaker SPEAKER_21
transcript.pyannote[2459].start 10592.85659375
transcript.pyannote[2459].end 10594.37534375
transcript.pyannote[2460].speaker SPEAKER_14
transcript.pyannote[2460].start 10595.45534375
transcript.pyannote[2460].end 10605.83346875
transcript.pyannote[2461].speaker SPEAKER_21
transcript.pyannote[2461].start 10605.78284375
transcript.pyannote[2461].end 10607.52096875
transcript.pyannote[2462].speaker SPEAKER_14
transcript.pyannote[2462].start 10607.85846875
transcript.pyannote[2462].end 10612.51596875
transcript.pyannote[2463].speaker SPEAKER_21
transcript.pyannote[2463].start 10611.09846875
transcript.pyannote[2463].end 10619.72159375
transcript.pyannote[2464].speaker SPEAKER_14
transcript.pyannote[2464].start 10613.10659375
transcript.pyannote[2464].end 10614.08534375
transcript.pyannote[2465].speaker SPEAKER_14
transcript.pyannote[2465].start 10617.74721875
transcript.pyannote[2465].end 10618.37159375
transcript.pyannote[2466].speaker SPEAKER_14
transcript.pyannote[2466].start 10619.80596875
transcript.pyannote[2466].end 10636.20846875
transcript.pyannote[2467].speaker SPEAKER_21
transcript.pyannote[2467].start 10621.24034375
transcript.pyannote[2467].end 10622.25284375
transcript.pyannote[2468].speaker SPEAKER_21
transcript.pyannote[2468].start 10636.20846875
transcript.pyannote[2468].end 10644.88221875
transcript.pyannote[2469].speaker SPEAKER_14
transcript.pyannote[2469].start 10645.72596875
transcript.pyannote[2469].end 10646.45159375
transcript.pyannote[2470].speaker SPEAKER_21
transcript.pyannote[2470].start 10646.45159375
transcript.pyannote[2470].end 10648.66221875
transcript.pyannote[2471].speaker SPEAKER_21
transcript.pyannote[2471].start 10649.38784375
transcript.pyannote[2471].end 10651.61534375
transcript.pyannote[2472].speaker SPEAKER_21
transcript.pyannote[2472].start 10652.39159375
transcript.pyannote[2472].end 10654.38284375
transcript.pyannote[2473].speaker SPEAKER_14
transcript.pyannote[2473].start 10654.38284375
transcript.pyannote[2473].end 10654.46721875
transcript.pyannote[2474].speaker SPEAKER_21
transcript.pyannote[2474].start 10654.46721875
transcript.pyannote[2474].end 10654.60221875
transcript.pyannote[2475].speaker SPEAKER_14
transcript.pyannote[2475].start 10654.60221875
transcript.pyannote[2475].end 10654.63596875
transcript.pyannote[2476].speaker SPEAKER_21
transcript.pyannote[2476].start 10654.63596875
transcript.pyannote[2476].end 10654.97346875
transcript.pyannote[2477].speaker SPEAKER_14
transcript.pyannote[2477].start 10654.97346875
transcript.pyannote[2477].end 10655.02409375
transcript.pyannote[2478].speaker SPEAKER_21
transcript.pyannote[2478].start 10655.02409375
transcript.pyannote[2478].end 10661.23409375
transcript.pyannote[2479].speaker SPEAKER_14
transcript.pyannote[2479].start 10656.22221875
transcript.pyannote[2479].end 10656.91409375
transcript.pyannote[2480].speaker SPEAKER_14
transcript.pyannote[2480].start 10662.26346875
transcript.pyannote[2480].end 10665.46971875
transcript.pyannote[2481].speaker SPEAKER_21
transcript.pyannote[2481].start 10664.23784375
transcript.pyannote[2481].end 10664.59221875
transcript.pyannote[2482].speaker SPEAKER_21
transcript.pyannote[2482].start 10665.33471875
transcript.pyannote[2482].end 10666.97159375
transcript.pyannote[2483].speaker SPEAKER_14
transcript.pyannote[2483].start 10667.78159375
transcript.pyannote[2483].end 10667.79846875
transcript.pyannote[2484].speaker SPEAKER_21
transcript.pyannote[2484].start 10667.79846875
transcript.pyannote[2484].end 10668.96284375
transcript.pyannote[2485].speaker SPEAKER_14
transcript.pyannote[2485].start 10668.96284375
transcript.pyannote[2485].end 10668.97971875
transcript.pyannote[2486].speaker SPEAKER_21
transcript.pyannote[2486].start 10668.97971875
transcript.pyannote[2486].end 10669.04721875
transcript.pyannote[2487].speaker SPEAKER_14
transcript.pyannote[2487].start 10669.04721875
transcript.pyannote[2487].end 10671.29159375
transcript.pyannote[2488].speaker SPEAKER_21
transcript.pyannote[2488].start 10669.99221875
transcript.pyannote[2488].end 10670.43096875
transcript.pyannote[2489].speaker SPEAKER_21
transcript.pyannote[2489].start 10671.02159375
transcript.pyannote[2489].end 10676.77596875
transcript.pyannote[2490].speaker SPEAKER_14
transcript.pyannote[2490].start 10677.75471875
transcript.pyannote[2490].end 10678.07534375
transcript.pyannote[2491].speaker SPEAKER_21
transcript.pyannote[2491].start 10677.95721875
transcript.pyannote[2491].end 10679.62784375
transcript.pyannote[2492].speaker SPEAKER_21
transcript.pyannote[2492].start 10680.08346875
transcript.pyannote[2492].end 10689.61784375
transcript.pyannote[2493].speaker SPEAKER_21
transcript.pyannote[2493].start 10690.00596875
transcript.pyannote[2493].end 10695.42284375
transcript.pyannote[2494].speaker SPEAKER_14
transcript.pyannote[2494].start 10695.79409375
transcript.pyannote[2494].end 10707.72471875
transcript.pyannote[2495].speaker SPEAKER_21
transcript.pyannote[2495].start 10705.53096875
transcript.pyannote[2495].end 10707.35346875
transcript.pyannote[2496].speaker SPEAKER_14
transcript.pyannote[2496].start 10708.51784375
transcript.pyannote[2496].end 10713.41159375
transcript.pyannote[2497].speaker SPEAKER_21
transcript.pyannote[2497].start 10710.69471875
transcript.pyannote[2497].end 10711.40346875
transcript.pyannote[2498].speaker SPEAKER_21
transcript.pyannote[2498].start 10713.31034375
transcript.pyannote[2498].end 10719.85784375
transcript.pyannote[2499].speaker SPEAKER_14
transcript.pyannote[2499].start 10719.85784375
transcript.pyannote[2499].end 10719.90846875
transcript.pyannote[2500].speaker SPEAKER_21
transcript.pyannote[2500].start 10719.90846875
transcript.pyannote[2500].end 10719.95909375
transcript.pyannote[2501].speaker SPEAKER_14
transcript.pyannote[2501].start 10719.95909375
transcript.pyannote[2501].end 10720.11096875
transcript.pyannote[2502].speaker SPEAKER_14
transcript.pyannote[2502].start 10720.76909375
transcript.pyannote[2502].end 10724.02596875
transcript.pyannote[2503].speaker SPEAKER_21
transcript.pyannote[2503].start 10722.81096875
transcript.pyannote[2503].end 10724.00909375
transcript.pyannote[2504].speaker SPEAKER_21
transcript.pyannote[2504].start 10724.02596875
transcript.pyannote[2504].end 10724.31284375
transcript.pyannote[2505].speaker SPEAKER_14
transcript.pyannote[2505].start 10724.81909375
transcript.pyannote[2505].end 10724.95409375
transcript.pyannote[2506].speaker SPEAKER_14
transcript.pyannote[2506].start 10725.10596875
transcript.pyannote[2506].end 10726.72596875
transcript.pyannote[2507].speaker SPEAKER_21
transcript.pyannote[2507].start 10725.84846875
transcript.pyannote[2507].end 10726.69221875
transcript.pyannote[2508].speaker SPEAKER_21
transcript.pyannote[2508].start 10726.72596875
transcript.pyannote[2508].end 10726.75971875
transcript.pyannote[2509].speaker SPEAKER_14
transcript.pyannote[2509].start 10726.75971875
transcript.pyannote[2509].end 10726.77659375
transcript.pyannote[2510].speaker SPEAKER_21
transcript.pyannote[2510].start 10726.77659375
transcript.pyannote[2510].end 10727.46846875
transcript.pyannote[2511].speaker SPEAKER_21
transcript.pyannote[2511].start 10727.60346875
transcript.pyannote[2511].end 10727.75534375
transcript.pyannote[2512].speaker SPEAKER_21
transcript.pyannote[2512].start 10727.97471875
transcript.pyannote[2512].end 10735.63596875
transcript.pyannote[2513].speaker SPEAKER_14
transcript.pyannote[2513].start 10729.15596875
transcript.pyannote[2513].end 10729.29096875
transcript.pyannote[2514].speaker SPEAKER_14
transcript.pyannote[2514].start 10729.40909375
transcript.pyannote[2514].end 10729.69596875
transcript.pyannote[2515].speaker SPEAKER_14
transcript.pyannote[2515].start 10731.21471875
transcript.pyannote[2515].end 10732.27784375
transcript.pyannote[2516].speaker SPEAKER_14
transcript.pyannote[2516].start 10734.87659375
transcript.pyannote[2516].end 10735.34909375
transcript.pyannote[2517].speaker SPEAKER_21
transcript.pyannote[2517].start 10736.02409375
transcript.pyannote[2517].end 10736.31096875
transcript.pyannote[2518].speaker SPEAKER_14
transcript.pyannote[2518].start 10736.31096875
transcript.pyannote[2518].end 10743.87096875
transcript.pyannote[2519].speaker SPEAKER_21
transcript.pyannote[2519].start 10736.32784375
transcript.pyannote[2519].end 10737.17159375
transcript.pyannote[2520].speaker SPEAKER_21
transcript.pyannote[2520].start 10742.52096875
transcript.pyannote[2520].end 10743.68534375
transcript.pyannote[2521].speaker SPEAKER_14
transcript.pyannote[2521].start 10744.36034375
transcript.pyannote[2521].end 10750.04721875
transcript.pyannote[2522].speaker SPEAKER_21
transcript.pyannote[2522].start 10745.81159375
transcript.pyannote[2522].end 10747.60034375
transcript.pyannote[2523].speaker SPEAKER_21
transcript.pyannote[2523].start 10748.64659375
transcript.pyannote[2523].end 10756.25721875
transcript.pyannote[2524].speaker SPEAKER_14
transcript.pyannote[2524].start 10755.02534375
transcript.pyannote[2524].end 10765.70721875
transcript.pyannote[2525].speaker SPEAKER_21
transcript.pyannote[2525].start 10758.77159375
transcript.pyannote[2525].end 10759.36221875
transcript.pyannote[2526].speaker SPEAKER_21
transcript.pyannote[2526].start 10759.96971875
transcript.pyannote[2526].end 10761.42096875
transcript.pyannote[2527].speaker SPEAKER_21
transcript.pyannote[2527].start 10764.71159375
transcript.pyannote[2527].end 10766.93909375
transcript.pyannote[2528].speaker SPEAKER_14
transcript.pyannote[2528].start 10765.90971875
transcript.pyannote[2528].end 10766.70284375
transcript.pyannote[2529].speaker SPEAKER_14
transcript.pyannote[2529].start 10766.93909375
transcript.pyannote[2529].end 10767.02346875
transcript.pyannote[2530].speaker SPEAKER_21
transcript.pyannote[2530].start 10767.02346875
transcript.pyannote[2530].end 10781.09721875
transcript.pyannote[2531].speaker SPEAKER_14
transcript.pyannote[2531].start 10779.89909375
transcript.pyannote[2531].end 10781.16471875
transcript.pyannote[2532].speaker SPEAKER_14
transcript.pyannote[2532].start 10781.41784375
transcript.pyannote[2532].end 10789.11284375
transcript.pyannote[2533].speaker SPEAKER_21
transcript.pyannote[2533].start 10787.81346875
transcript.pyannote[2533].end 10797.11159375
transcript.pyannote[2534].speaker SPEAKER_21
transcript.pyannote[2534].start 10797.56721875
transcript.pyannote[2534].end 10798.81596875
transcript.pyannote[2535].speaker SPEAKER_14
transcript.pyannote[2535].start 10797.61784375
transcript.pyannote[2535].end 10817.68221875
transcript.pyannote[2536].speaker SPEAKER_21
transcript.pyannote[2536].start 10815.75846875
transcript.pyannote[2536].end 10830.96284375
transcript.pyannote[2537].speaker SPEAKER_14
transcript.pyannote[2537].start 10817.69909375
transcript.pyannote[2537].end 10817.73284375
transcript.pyannote[2538].speaker SPEAKER_14
transcript.pyannote[2538].start 10830.96284375
transcript.pyannote[2538].end 10836.29534375
transcript.pyannote[2539].speaker SPEAKER_21
transcript.pyannote[2539].start 10835.67096875
transcript.pyannote[2539].end 10855.31346875
transcript.pyannote[2540].speaker SPEAKER_14
transcript.pyannote[2540].start 10855.31346875
transcript.pyannote[2540].end 10857.55784375
transcript.pyannote[2541].speaker SPEAKER_21
transcript.pyannote[2541].start 10856.84909375
transcript.pyannote[2541].end 10858.23284375
transcript.pyannote[2542].speaker SPEAKER_14
transcript.pyannote[2542].start 10858.23284375
transcript.pyannote[2542].end 10858.78971875
transcript.pyannote[2543].speaker SPEAKER_21
transcript.pyannote[2543].start 10858.78971875
transcript.pyannote[2543].end 10866.80534375
transcript.pyannote[2544].speaker SPEAKER_14
transcript.pyannote[2544].start 10866.95721875
transcript.pyannote[2544].end 10873.82534375
transcript.pyannote[2545].speaker SPEAKER_21
transcript.pyannote[2545].start 10871.46284375
transcript.pyannote[2545].end 10879.86659375
transcript.pyannote[2546].speaker SPEAKER_14
transcript.pyannote[2546].start 10874.07846875
transcript.pyannote[2546].end 10874.38221875
transcript.pyannote[2547].speaker SPEAKER_21
transcript.pyannote[2547].start 10880.08596875
transcript.pyannote[2547].end 10885.26659375
transcript.pyannote[2548].speaker SPEAKER_21
transcript.pyannote[2548].start 10885.35096875
transcript.pyannote[2548].end 10886.80221875
transcript.pyannote[2549].speaker SPEAKER_05
transcript.pyannote[2549].start 10888.33784375
transcript.pyannote[2549].end 10889.29971875
transcript.pyannote[2550].speaker SPEAKER_05
transcript.pyannote[2550].start 10894.51409375
transcript.pyannote[2550].end 10897.45034375
transcript.pyannote[2551].speaker SPEAKER_07
transcript.pyannote[2551].start 10904.43659375
transcript.pyannote[2551].end 10907.30534375
transcript.pyannote[2552].speaker SPEAKER_07
transcript.pyannote[2552].start 10908.08159375
transcript.pyannote[2552].end 10908.97596875
transcript.pyannote[2553].speaker SPEAKER_07
transcript.pyannote[2553].start 10916.24909375
transcript.pyannote[2553].end 10916.90721875
transcript.pyannote[2554].speaker SPEAKER_07
transcript.pyannote[2554].start 10917.07596875
transcript.pyannote[2554].end 10925.05784375
transcript.pyannote[2555].speaker SPEAKER_07
transcript.pyannote[2555].start 10925.54721875
transcript.pyannote[2555].end 10932.26346875
transcript.pyannote[2556].speaker SPEAKER_14
transcript.pyannote[2556].start 10933.73159375
transcript.pyannote[2556].end 10944.93659375
transcript.pyannote[2557].speaker SPEAKER_07
transcript.pyannote[2557].start 10942.70909375
transcript.pyannote[2557].end 10944.88596875
transcript.pyannote[2558].speaker SPEAKER_07
transcript.pyannote[2558].start 10944.93659375
transcript.pyannote[2558].end 10948.15971875
transcript.pyannote[2559].speaker SPEAKER_14
transcript.pyannote[2559].start 10945.05471875
transcript.pyannote[2559].end 10946.08409375
transcript.pyannote[2560].speaker SPEAKER_14
transcript.pyannote[2560].start 10948.56471875
transcript.pyannote[2560].end 10953.40784375
transcript.pyannote[2561].speaker SPEAKER_07
transcript.pyannote[2561].start 10949.71221875
transcript.pyannote[2561].end 10950.33659375
transcript.pyannote[2562].speaker SPEAKER_07
transcript.pyannote[2562].start 10950.91034375
transcript.pyannote[2562].end 10951.85534375
transcript.pyannote[2563].speaker SPEAKER_07
transcript.pyannote[2563].start 10952.39534375
transcript.pyannote[2563].end 10954.36971875
transcript.pyannote[2564].speaker SPEAKER_14
transcript.pyannote[2564].start 10957.06971875
transcript.pyannote[2564].end 10957.35659375
transcript.pyannote[2565].speaker SPEAKER_07
transcript.pyannote[2565].start 10958.68971875
transcript.pyannote[2565].end 10961.71034375
transcript.pyannote[2566].speaker SPEAKER_14
transcript.pyannote[2566].start 10959.55034375
transcript.pyannote[2566].end 10959.82034375
transcript.pyannote[2567].speaker SPEAKER_14
transcript.pyannote[2567].start 10960.88346875
transcript.pyannote[2567].end 10965.08534375
transcript.pyannote[2568].speaker SPEAKER_07
transcript.pyannote[2568].start 10963.27971875
transcript.pyannote[2568].end 10968.39284375
transcript.pyannote[2569].speaker SPEAKER_14
transcript.pyannote[2569].start 10966.94159375
transcript.pyannote[2569].end 10967.41409375
transcript.pyannote[2570].speaker SPEAKER_25
transcript.pyannote[2570].start 10967.41409375
transcript.pyannote[2570].end 10967.43096875
transcript.pyannote[2571].speaker SPEAKER_14
transcript.pyannote[2571].start 10968.40971875
transcript.pyannote[2571].end 10968.78096875
transcript.pyannote[2572].speaker SPEAKER_07
transcript.pyannote[2572].start 10968.78096875
transcript.pyannote[2572].end 10994.83596875
transcript.pyannote[2573].speaker SPEAKER_25
transcript.pyannote[2573].start 10968.79784375
transcript.pyannote[2573].end 10969.03409375
transcript.pyannote[2574].speaker SPEAKER_07
transcript.pyannote[2574].start 10995.05534375
transcript.pyannote[2574].end 11016.38534375
transcript.pyannote[2575].speaker SPEAKER_14
transcript.pyannote[2575].start 11017.33034375
transcript.pyannote[2575].end 11029.04159375
transcript.pyannote[2576].speaker SPEAKER_07
transcript.pyannote[2576].start 11017.48221875
transcript.pyannote[2576].end 11018.08971875
transcript.pyannote[2577].speaker SPEAKER_07
transcript.pyannote[2577].start 11026.59471875
transcript.pyannote[2577].end 11030.84721875
transcript.pyannote[2578].speaker SPEAKER_14
transcript.pyannote[2578].start 11030.54346875
transcript.pyannote[2578].end 11037.59721875
transcript.pyannote[2579].speaker SPEAKER_07
transcript.pyannote[2579].start 11035.23471875
transcript.pyannote[2579].end 11038.72784375
transcript.pyannote[2580].speaker SPEAKER_14
transcript.pyannote[2580].start 11038.77846875
transcript.pyannote[2580].end 11047.57034375
transcript.pyannote[2581].speaker SPEAKER_07
transcript.pyannote[2581].start 11045.89971875
transcript.pyannote[2581].end 11059.31534375
transcript.pyannote[2582].speaker SPEAKER_14
transcript.pyannote[2582].start 11059.19721875
transcript.pyannote[2582].end 11061.13784375
transcript.pyannote[2583].speaker SPEAKER_07
transcript.pyannote[2583].start 11059.68659375
transcript.pyannote[2583].end 11060.15909375
transcript.pyannote[2584].speaker SPEAKER_07
transcript.pyannote[2584].start 11060.81721875
transcript.pyannote[2584].end 11072.61284375
transcript.pyannote[2585].speaker SPEAKER_14
transcript.pyannote[2585].start 11073.42284375
transcript.pyannote[2585].end 11078.38409375
transcript.pyannote[2586].speaker SPEAKER_07
transcript.pyannote[2586].start 11077.45596875
transcript.pyannote[2586].end 11130.19034375
transcript.pyannote[2587].speaker SPEAKER_07
transcript.pyannote[2587].start 11130.69659375
transcript.pyannote[2587].end 11135.57346875
transcript.pyannote[2588].speaker SPEAKER_07
transcript.pyannote[2588].start 11136.40034375
transcript.pyannote[2588].end 11139.99471875
transcript.pyannote[2589].speaker SPEAKER_14
transcript.pyannote[2589].start 11140.65284375
transcript.pyannote[2589].end 11145.56346875
transcript.pyannote[2590].speaker SPEAKER_07
transcript.pyannote[2590].start 11144.66909375
transcript.pyannote[2590].end 11168.39534375
transcript.pyannote[2591].speaker SPEAKER_14
transcript.pyannote[2591].start 11146.71096875
transcript.pyannote[2591].end 11147.14971875
transcript.pyannote[2592].speaker SPEAKER_07
transcript.pyannote[2592].start 11168.73284375
transcript.pyannote[2592].end 11169.37409375
transcript.pyannote[2593].speaker SPEAKER_36
transcript.pyannote[2593].start 11169.69471875
transcript.pyannote[2593].end 11176.46159375
transcript.pyannote[2594].speaker SPEAKER_36
transcript.pyannote[2594].start 11176.84971875
transcript.pyannote[2594].end 11190.46784375
transcript.pyannote[2595].speaker SPEAKER_07
transcript.pyannote[2595].start 11188.94909375
transcript.pyannote[2595].end 11202.43221875
transcript.pyannote[2596].speaker SPEAKER_36
transcript.pyannote[2596].start 11200.03596875
transcript.pyannote[2596].end 11200.89659375
transcript.pyannote[2597].speaker SPEAKER_36
transcript.pyannote[2597].start 11201.77409375
transcript.pyannote[2597].end 11203.93409375
transcript.pyannote[2598].speaker SPEAKER_07
transcript.pyannote[2598].start 11203.17471875
transcript.pyannote[2598].end 11221.23096875
transcript.pyannote[2599].speaker SPEAKER_07
transcript.pyannote[2599].start 11221.73721875
transcript.pyannote[2599].end 11223.13784375
transcript.pyannote[2600].speaker SPEAKER_36
transcript.pyannote[2600].start 11223.13784375
transcript.pyannote[2600].end 11225.68596875
transcript.pyannote[2601].speaker SPEAKER_07
transcript.pyannote[2601].start 11225.31471875
transcript.pyannote[2601].end 11261.37659375
transcript.pyannote[2602].speaker SPEAKER_36
transcript.pyannote[2602].start 11227.05284375
transcript.pyannote[2602].end 11227.39034375
transcript.pyannote[2603].speaker SPEAKER_00
transcript.pyannote[2603].start 11233.65096875
transcript.pyannote[2603].end 11234.32596875
transcript.pyannote[2604].speaker SPEAKER_00
transcript.pyannote[2604].start 11235.25409375
transcript.pyannote[2604].end 11235.77721875
transcript.pyannote[2605].speaker SPEAKER_40
transcript.pyannote[2605].start 11235.77721875
transcript.pyannote[2605].end 11236.03034375
transcript.pyannote[2606].speaker SPEAKER_25
transcript.pyannote[2606].start 11236.03034375
transcript.pyannote[2606].end 11236.55346875
transcript.pyannote[2607].speaker SPEAKER_40
transcript.pyannote[2607].start 11236.55346875
transcript.pyannote[2607].end 11236.73909375
transcript.pyannote[2608].speaker SPEAKER_00
transcript.pyannote[2608].start 11236.73909375
transcript.pyannote[2608].end 11236.85721875
transcript.pyannote[2609].speaker SPEAKER_37
transcript.pyannote[2609].start 11260.06034375
transcript.pyannote[2609].end 11260.07721875
transcript.pyannote[2610].speaker SPEAKER_37
transcript.pyannote[2610].start 11260.81971875
transcript.pyannote[2610].end 11261.96721875
transcript.pyannote[2611].speaker SPEAKER_07
transcript.pyannote[2611].start 11261.76471875
transcript.pyannote[2611].end 11262.50721875
transcript.pyannote[2612].speaker SPEAKER_07
transcript.pyannote[2612].start 11264.65034375
transcript.pyannote[2612].end 11264.66721875
transcript.pyannote[2613].speaker SPEAKER_05
transcript.pyannote[2613].start 11264.66721875
transcript.pyannote[2613].end 11265.30846875
transcript.pyannote[2614].speaker SPEAKER_05
transcript.pyannote[2614].start 11267.87346875
transcript.pyannote[2614].end 11270.87721875
transcript.pyannote[2615].speaker SPEAKER_35
transcript.pyannote[2615].start 11273.17221875
transcript.pyannote[2615].end 11274.87659375
transcript.pyannote[2616].speaker SPEAKER_35
transcript.pyannote[2616].start 11274.91034375
transcript.pyannote[2616].end 11275.02846875
transcript.pyannote[2617].speaker SPEAKER_05
transcript.pyannote[2617].start 11274.97784375
transcript.pyannote[2617].end 11276.00721875
transcript.pyannote[2618].speaker SPEAKER_35
transcript.pyannote[2618].start 11275.09596875
transcript.pyannote[2618].end 11275.14659375
transcript.pyannote[2619].speaker SPEAKER_35
transcript.pyannote[2619].start 11275.38284375
transcript.pyannote[2619].end 11275.50096875
transcript.pyannote[2620].speaker SPEAKER_30
transcript.pyannote[2620].start 11278.94346875
transcript.pyannote[2620].end 11279.95596875
transcript.pyannote[2621].speaker SPEAKER_30
transcript.pyannote[2621].start 11281.91346875
transcript.pyannote[2621].end 11283.58409375
transcript.pyannote[2622].speaker SPEAKER_30
transcript.pyannote[2622].start 11284.17471875
transcript.pyannote[2622].end 11285.84534375
transcript.pyannote[2623].speaker SPEAKER_30
transcript.pyannote[2623].start 11286.82409375
transcript.pyannote[2623].end 11288.39346875
transcript.pyannote[2624].speaker SPEAKER_30
transcript.pyannote[2624].start 11289.96284375
transcript.pyannote[2624].end 11293.81034375
transcript.pyannote[2625].speaker SPEAKER_30
transcript.pyannote[2625].start 11294.24909375
transcript.pyannote[2625].end 11295.32909375
transcript.pyannote[2626].speaker SPEAKER_30
transcript.pyannote[2626].start 11295.63284375
transcript.pyannote[2626].end 11295.93659375
transcript.pyannote[2627].speaker SPEAKER_30
transcript.pyannote[2627].start 11296.25721875
transcript.pyannote[2627].end 11305.20096875
transcript.pyannote[2628].speaker SPEAKER_05
transcript.pyannote[2628].start 11301.38721875
transcript.pyannote[2628].end 11302.51784375
transcript.pyannote[2629].speaker SPEAKER_30
transcript.pyannote[2629].start 11305.57221875
transcript.pyannote[2629].end 11309.97659375
transcript.pyannote[2630].speaker SPEAKER_30
transcript.pyannote[2630].start 11310.22971875
transcript.pyannote[2630].end 11315.35971875
transcript.pyannote[2631].speaker SPEAKER_30
transcript.pyannote[2631].start 11315.76471875
transcript.pyannote[2631].end 11317.30034375
transcript.pyannote[2632].speaker SPEAKER_30
transcript.pyannote[2632].start 11318.17784375
transcript.pyannote[2632].end 11319.07221875
transcript.pyannote[2633].speaker SPEAKER_30
transcript.pyannote[2633].start 11319.27471875
transcript.pyannote[2633].end 11319.62909375
transcript.pyannote[2634].speaker SPEAKER_30
transcript.pyannote[2634].start 11320.21971875
transcript.pyannote[2634].end 11350.35846875
transcript.pyannote[2635].speaker SPEAKER_36
transcript.pyannote[2635].start 11351.25284375
transcript.pyannote[2635].end 11351.26971875
transcript.pyannote[2636].speaker SPEAKER_30
transcript.pyannote[2636].start 11351.26971875
transcript.pyannote[2636].end 11352.02909375
transcript.pyannote[2637].speaker SPEAKER_36
transcript.pyannote[2637].start 11351.28659375
transcript.pyannote[2637].end 11351.69159375
transcript.pyannote[2638].speaker SPEAKER_36
transcript.pyannote[2638].start 11352.02909375
transcript.pyannote[2638].end 11352.11346875
transcript.pyannote[2639].speaker SPEAKER_30
transcript.pyannote[2639].start 11352.11346875
transcript.pyannote[2639].end 11352.16409375
transcript.pyannote[2640].speaker SPEAKER_36
transcript.pyannote[2640].start 11352.16409375
transcript.pyannote[2640].end 11352.19784375
transcript.pyannote[2641].speaker SPEAKER_30
transcript.pyannote[2641].start 11352.19784375
transcript.pyannote[2641].end 11352.23159375
transcript.pyannote[2642].speaker SPEAKER_36
transcript.pyannote[2642].start 11352.23159375
transcript.pyannote[2642].end 11352.28221875
transcript.pyannote[2643].speaker SPEAKER_30
transcript.pyannote[2643].start 11352.28221875
transcript.pyannote[2643].end 11352.36659375
transcript.pyannote[2644].speaker SPEAKER_36
transcript.pyannote[2644].start 11353.07534375
transcript.pyannote[2644].end 11354.52659375
transcript.pyannote[2645].speaker SPEAKER_36
transcript.pyannote[2645].start 11354.67846875
transcript.pyannote[2645].end 11355.80909375
transcript.pyannote[2646].speaker SPEAKER_30
transcript.pyannote[2646].start 11354.74596875
transcript.pyannote[2646].end 11360.39909375
transcript.pyannote[2647].speaker SPEAKER_36
transcript.pyannote[2647].start 11357.24346875
transcript.pyannote[2647].end 11359.01534375
transcript.pyannote[2648].speaker SPEAKER_36
transcript.pyannote[2648].start 11360.39909375
transcript.pyannote[2648].end 11360.41596875
transcript.pyannote[2649].speaker SPEAKER_36
transcript.pyannote[2649].start 11361.25971875
transcript.pyannote[2649].end 11363.41971875
transcript.pyannote[2650].speaker SPEAKER_30
transcript.pyannote[2650].start 11363.68971875
transcript.pyannote[2650].end 11377.30784375
transcript.pyannote[2651].speaker SPEAKER_36
transcript.pyannote[2651].start 11363.72346875
transcript.pyannote[2651].end 11364.36471875
transcript.pyannote[2652].speaker SPEAKER_36
transcript.pyannote[2652].start 11365.86659375
transcript.pyannote[2652].end 11366.54159375
transcript.pyannote[2653].speaker SPEAKER_33
transcript.pyannote[2653].start 11366.54159375
transcript.pyannote[2653].end 11366.57534375
transcript.pyannote[2654].speaker SPEAKER_30
transcript.pyannote[2654].start 11378.11784375
transcript.pyannote[2654].end 11380.71659375
transcript.pyannote[2655].speaker SPEAKER_36
transcript.pyannote[2655].start 11379.02909375
transcript.pyannote[2655].end 11379.28221875
transcript.pyannote[2656].speaker SPEAKER_36
transcript.pyannote[2656].start 11380.71659375
transcript.pyannote[2656].end 11382.31971875
transcript.pyannote[2657].speaker SPEAKER_30
transcript.pyannote[2657].start 11381.79659375
transcript.pyannote[2657].end 11383.31534375
transcript.pyannote[2658].speaker SPEAKER_36
transcript.pyannote[2658].start 11383.75409375
transcript.pyannote[2658].end 11389.00221875
transcript.pyannote[2659].speaker SPEAKER_30
transcript.pyannote[2659].start 11387.48346875
transcript.pyannote[2659].end 11391.41534375
transcript.pyannote[2660].speaker SPEAKER_30
transcript.pyannote[2660].start 11391.85409375
transcript.pyannote[2660].end 11394.04784375
transcript.pyannote[2661].speaker SPEAKER_30
transcript.pyannote[2661].start 11394.52034375
transcript.pyannote[2661].end 11400.56159375
transcript.pyannote[2662].speaker SPEAKER_36
transcript.pyannote[2662].start 11401.28721875
transcript.pyannote[2662].end 11404.62846875
transcript.pyannote[2663].speaker SPEAKER_36
transcript.pyannote[2663].start 11405.30346875
transcript.pyannote[2663].end 11407.27784375
transcript.pyannote[2664].speaker SPEAKER_36
transcript.pyannote[2664].start 11407.31159375
transcript.pyannote[2664].end 11407.39596875
transcript.pyannote[2665].speaker SPEAKER_30
transcript.pyannote[2665].start 11407.39596875
transcript.pyannote[2665].end 11409.11721875
transcript.pyannote[2666].speaker SPEAKER_36
transcript.pyannote[2666].start 11409.11721875
transcript.pyannote[2666].end 11409.60659375
transcript.pyannote[2667].speaker SPEAKER_30
transcript.pyannote[2667].start 11409.60659375
transcript.pyannote[2667].end 11415.20909375
transcript.pyannote[2668].speaker SPEAKER_36
transcript.pyannote[2668].start 11410.63596875
transcript.pyannote[2668].end 11410.93971875
transcript.pyannote[2669].speaker SPEAKER_36
transcript.pyannote[2669].start 11412.49221875
transcript.pyannote[2669].end 11413.90971875
transcript.pyannote[2670].speaker SPEAKER_36
transcript.pyannote[2670].start 11414.68596875
transcript.pyannote[2670].end 11416.89659375
transcript.pyannote[2671].speaker SPEAKER_30
transcript.pyannote[2671].start 11416.89659375
transcript.pyannote[2671].end 11419.02284375
transcript.pyannote[2672].speaker SPEAKER_36
transcript.pyannote[2672].start 11419.02284375
transcript.pyannote[2672].end 11419.19159375
transcript.pyannote[2673].speaker SPEAKER_30
transcript.pyannote[2673].start 11419.19159375
transcript.pyannote[2673].end 11422.68471875
transcript.pyannote[2674].speaker SPEAKER_36
transcript.pyannote[2674].start 11419.25909375
transcript.pyannote[2674].end 11420.74409375
transcript.pyannote[2675].speaker SPEAKER_36
transcript.pyannote[2675].start 11422.90409375
transcript.pyannote[2675].end 11423.78159375
transcript.pyannote[2676].speaker SPEAKER_36
transcript.pyannote[2676].start 11423.96721875
transcript.pyannote[2676].end 11424.13596875
transcript.pyannote[2677].speaker SPEAKER_30
transcript.pyannote[2677].start 11424.86159375
transcript.pyannote[2677].end 11430.66659375
transcript.pyannote[2678].speaker SPEAKER_36
transcript.pyannote[2678].start 11426.02596875
transcript.pyannote[2678].end 11429.90721875
transcript.pyannote[2679].speaker SPEAKER_36
transcript.pyannote[2679].start 11430.81846875
transcript.pyannote[2679].end 11431.96596875
transcript.pyannote[2680].speaker SPEAKER_30
transcript.pyannote[2680].start 11431.96596875
transcript.pyannote[2680].end 11469.31034375
transcript.pyannote[2681].speaker SPEAKER_36
transcript.pyannote[2681].start 11470.12034375
transcript.pyannote[2681].end 11476.29659375
transcript.pyannote[2682].speaker SPEAKER_30
transcript.pyannote[2682].start 11475.26721875
transcript.pyannote[2682].end 11477.20784375
transcript.pyannote[2683].speaker SPEAKER_36
transcript.pyannote[2683].start 11477.30909375
transcript.pyannote[2683].end 11478.30471875
transcript.pyannote[2684].speaker SPEAKER_30
transcript.pyannote[2684].start 11478.74346875
transcript.pyannote[2684].end 11480.32971875
transcript.pyannote[2685].speaker SPEAKER_36
transcript.pyannote[2685].start 11479.67159375
transcript.pyannote[2685].end 11494.97721875
transcript.pyannote[2686].speaker SPEAKER_30
transcript.pyannote[2686].start 11494.92659375
transcript.pyannote[2686].end 11499.17909375
transcript.pyannote[2687].speaker SPEAKER_36
transcript.pyannote[2687].start 11495.39909375
transcript.pyannote[2687].end 11495.63534375
transcript.pyannote[2688].speaker SPEAKER_36
transcript.pyannote[2688].start 11497.08659375
transcript.pyannote[2688].end 11499.11159375
transcript.pyannote[2689].speaker SPEAKER_30
transcript.pyannote[2689].start 11499.28034375
transcript.pyannote[2689].end 11508.79784375
transcript.pyannote[2690].speaker SPEAKER_30
transcript.pyannote[2690].start 11509.13534375
transcript.pyannote[2690].end 11514.50159375
transcript.pyannote[2691].speaker SPEAKER_30
transcript.pyannote[2691].start 11515.04159375
transcript.pyannote[2691].end 11522.02784375
transcript.pyannote[2692].speaker SPEAKER_36
transcript.pyannote[2692].start 11522.02784375
transcript.pyannote[2692].end 11525.99346875
transcript.pyannote[2693].speaker SPEAKER_30
transcript.pyannote[2693].start 11526.06096875
transcript.pyannote[2693].end 11548.65659375
transcript.pyannote[2694].speaker SPEAKER_00
transcript.pyannote[2694].start 11530.02659375
transcript.pyannote[2694].end 11530.04346875
transcript.pyannote[2695].speaker SPEAKER_36
transcript.pyannote[2695].start 11530.04346875
transcript.pyannote[2695].end 11530.95471875
transcript.pyannote[2696].speaker SPEAKER_25
transcript.pyannote[2696].start 11533.19909375
transcript.pyannote[2696].end 11534.07659375
transcript.pyannote[2697].speaker SPEAKER_36
transcript.pyannote[2697].start 11534.07659375
transcript.pyannote[2697].end 11534.27909375
transcript.pyannote[2698].speaker SPEAKER_30
transcript.pyannote[2698].start 11549.19659375
transcript.pyannote[2698].end 11567.53971875
transcript.pyannote[2699].speaker SPEAKER_30
transcript.pyannote[2699].start 11567.70846875
transcript.pyannote[2699].end 11590.03409375
transcript.pyannote[2700].speaker SPEAKER_33
transcript.pyannote[2700].start 11578.06971875
transcript.pyannote[2700].end 11578.71096875
transcript.pyannote[2701].speaker SPEAKER_33
transcript.pyannote[2701].start 11580.34784375
transcript.pyannote[2701].end 11580.97221875
transcript.pyannote[2702].speaker SPEAKER_00
transcript.pyannote[2702].start 11580.97221875
transcript.pyannote[2702].end 11581.59659375
transcript.pyannote[2703].speaker SPEAKER_00
transcript.pyannote[2703].start 11582.81159375
transcript.pyannote[2703].end 11584.27971875
transcript.pyannote[2704].speaker SPEAKER_00
transcript.pyannote[2704].start 11586.43971875
transcript.pyannote[2704].end 11587.03034375
transcript.pyannote[2705].speaker SPEAKER_36
transcript.pyannote[2705].start 11587.03034375
transcript.pyannote[2705].end 11589.42659375
transcript.pyannote[2706].speaker SPEAKER_30
transcript.pyannote[2706].start 11590.30409375
transcript.pyannote[2706].end 11594.40471875
transcript.pyannote[2707].speaker SPEAKER_30
transcript.pyannote[2707].start 11594.62409375
transcript.pyannote[2707].end 11596.22721875
transcript.pyannote[2708].speaker SPEAKER_36
transcript.pyannote[2708].start 11596.22721875
transcript.pyannote[2708].end 11596.41284375
transcript.pyannote[2709].speaker SPEAKER_30
transcript.pyannote[2709].start 11596.41284375
transcript.pyannote[2709].end 11596.42971875
transcript.pyannote[2710].speaker SPEAKER_36
transcript.pyannote[2710].start 11596.42971875
transcript.pyannote[2710].end 11596.44659375
transcript.pyannote[2711].speaker SPEAKER_30
transcript.pyannote[2711].start 11596.44659375
transcript.pyannote[2711].end 11596.49721875
transcript.pyannote[2712].speaker SPEAKER_36
transcript.pyannote[2712].start 11596.49721875
transcript.pyannote[2712].end 11596.54784375
transcript.pyannote[2713].speaker SPEAKER_30
transcript.pyannote[2713].start 11597.61096875
transcript.pyannote[2713].end 11598.16784375
transcript.pyannote[2714].speaker SPEAKER_30
transcript.pyannote[2714].start 11598.92721875
transcript.pyannote[2714].end 11605.59284375
transcript.pyannote[2715].speaker SPEAKER_30
transcript.pyannote[2715].start 11606.06534375
transcript.pyannote[2715].end 11614.62096875
transcript.pyannote[2716].speaker SPEAKER_30
transcript.pyannote[2716].start 11614.82346875
transcript.pyannote[2716].end 11620.12221875
transcript.pyannote[2717].speaker SPEAKER_30
transcript.pyannote[2717].start 11620.45971875
transcript.pyannote[2717].end 11664.48659375
transcript.pyannote[2718].speaker SPEAKER_30
transcript.pyannote[2718].start 11664.73971875
transcript.pyannote[2718].end 11678.89784375
transcript.pyannote[2719].speaker SPEAKER_05
transcript.pyannote[2719].start 11682.45846875
transcript.pyannote[2719].end 11684.26409375
transcript.pyannote[2720].speaker SPEAKER_05
transcript.pyannote[2720].start 11685.85034375
transcript.pyannote[2720].end 11688.44909375
transcript.pyannote[2721].speaker SPEAKER_05
transcript.pyannote[2721].start 11689.02284375
transcript.pyannote[2721].end 11698.10159375
transcript.pyannote[2722].speaker SPEAKER_05
transcript.pyannote[2722].start 11883.70971875
transcript.pyannote[2722].end 11886.94971875
transcript.pyannote[2723].speaker SPEAKER_05
transcript.pyannote[2723].start 11888.38409375
transcript.pyannote[2723].end 11889.93659375
transcript.pyannote[2724].speaker SPEAKER_05
transcript.pyannote[2724].start 11894.47596875
transcript.pyannote[2724].end 11899.25159375
transcript.pyannote[2725].speaker SPEAKER_01
transcript.pyannote[2725].start 11905.12409375
transcript.pyannote[2725].end 11911.18221875
transcript.pyannote[2726].speaker SPEAKER_33
transcript.pyannote[2726].start 11917.05471875
transcript.pyannote[2726].end 11917.12221875
transcript.pyannote[2727].speaker SPEAKER_01
transcript.pyannote[2727].start 11917.12221875
transcript.pyannote[2727].end 11917.51034375
transcript.pyannote[2728].speaker SPEAKER_33
transcript.pyannote[2728].start 11917.51034375
transcript.pyannote[2728].end 11917.56096875
transcript.pyannote[2729].speaker SPEAKER_01
transcript.pyannote[2729].start 11917.56096875
transcript.pyannote[2729].end 11917.62846875
transcript.pyannote[2730].speaker SPEAKER_33
transcript.pyannote[2730].start 11917.62846875
transcript.pyannote[2730].end 11917.64534375
transcript.pyannote[2731].speaker SPEAKER_01
transcript.pyannote[2731].start 11917.64534375
transcript.pyannote[2731].end 11926.30221875
transcript.pyannote[2732].speaker SPEAKER_01
transcript.pyannote[2732].start 11926.97721875
transcript.pyannote[2732].end 11936.46096875
transcript.pyannote[2733].speaker SPEAKER_01
transcript.pyannote[2733].start 11936.52846875
transcript.pyannote[2733].end 11936.54534375
transcript.pyannote[2734].speaker SPEAKER_01
transcript.pyannote[2734].start 11936.76471875
transcript.pyannote[2734].end 11946.26534375
transcript.pyannote[2735].speaker SPEAKER_36
transcript.pyannote[2735].start 11945.79284375
transcript.pyannote[2735].end 11947.95284375
transcript.pyannote[2736].speaker SPEAKER_36
transcript.pyannote[2736].start 11948.30721875
transcript.pyannote[2736].end 11952.47534375
transcript.pyannote[2737].speaker SPEAKER_01
transcript.pyannote[2737].start 11951.39534375
transcript.pyannote[2737].end 11959.52909375
transcript.pyannote[2738].speaker SPEAKER_36
transcript.pyannote[2738].start 11955.71534375
transcript.pyannote[2738].end 11955.74909375
transcript.pyannote[2739].speaker SPEAKER_33
transcript.pyannote[2739].start 11955.74909375
transcript.pyannote[2739].end 11955.83346875
transcript.pyannote[2740].speaker SPEAKER_36
transcript.pyannote[2740].start 11955.83346875
transcript.pyannote[2740].end 11956.01909375
transcript.pyannote[2741].speaker SPEAKER_33
transcript.pyannote[2741].start 11959.20846875
transcript.pyannote[2741].end 11960.15346875
transcript.pyannote[2742].speaker SPEAKER_01
transcript.pyannote[2742].start 11959.73159375
transcript.pyannote[2742].end 11965.24971875
transcript.pyannote[2743].speaker SPEAKER_01
transcript.pyannote[2743].start 11965.28346875
transcript.pyannote[2743].end 11975.50971875
transcript.pyannote[2744].speaker SPEAKER_33
transcript.pyannote[2744].start 11967.46034375
transcript.pyannote[2744].end 11967.83159375
transcript.pyannote[2745].speaker SPEAKER_01
transcript.pyannote[2745].start 11975.61096875
transcript.pyannote[2745].end 11985.22971875
transcript.pyannote[2746].speaker SPEAKER_14
transcript.pyannote[2746].start 11986.22534375
transcript.pyannote[2746].end 11998.15596875
transcript.pyannote[2747].speaker SPEAKER_39
transcript.pyannote[2747].start 11998.15596875
transcript.pyannote[2747].end 11998.18971875
transcript.pyannote[2748].speaker SPEAKER_14
transcript.pyannote[2748].start 11998.18971875
transcript.pyannote[2748].end 12005.17596875
transcript.pyannote[2749].speaker SPEAKER_39
transcript.pyannote[2749].start 11998.32471875
transcript.pyannote[2749].end 11998.44284375
transcript.pyannote[2750].speaker SPEAKER_14
transcript.pyannote[2750].start 12005.27721875
transcript.pyannote[2750].end 12031.55159375
transcript.pyannote[2751].speaker SPEAKER_01
transcript.pyannote[2751].start 12030.23534375
transcript.pyannote[2751].end 12031.11284375
transcript.pyannote[2752].speaker SPEAKER_01
transcript.pyannote[2752].start 12031.43346875
transcript.pyannote[2752].end 12044.62971875
transcript.pyannote[2753].speaker SPEAKER_01
transcript.pyannote[2753].start 12045.06846875
transcript.pyannote[2753].end 12045.49034375
transcript.pyannote[2754].speaker SPEAKER_01
transcript.pyannote[2754].start 12046.31721875
transcript.pyannote[2754].end 12047.85284375
transcript.pyannote[2755].speaker SPEAKER_01
transcript.pyannote[2755].start 12048.37596875
transcript.pyannote[2755].end 12059.80034375
transcript.pyannote[2756].speaker SPEAKER_36
transcript.pyannote[2756].start 12061.21784375
transcript.pyannote[2756].end 12081.56909375
transcript.pyannote[2757].speaker SPEAKER_01
transcript.pyannote[2757].start 12080.21909375
transcript.pyannote[2757].end 12091.54221875
transcript.pyannote[2758].speaker SPEAKER_01
transcript.pyannote[2758].start 12093.44909375
transcript.pyannote[2758].end 12096.06471875
transcript.pyannote[2759].speaker SPEAKER_10
transcript.pyannote[2759].start 12095.13659375
transcript.pyannote[2759].end 12100.01346875
transcript.pyannote[2760].speaker SPEAKER_10
transcript.pyannote[2760].start 12100.51971875
transcript.pyannote[2760].end 12102.15659375
transcript.pyannote[2761].speaker SPEAKER_01
transcript.pyannote[2761].start 12102.12284375
transcript.pyannote[2761].end 12102.51096875
transcript.pyannote[2762].speaker SPEAKER_10
transcript.pyannote[2762].start 12102.64596875
transcript.pyannote[2762].end 12109.44659375
transcript.pyannote[2763].speaker SPEAKER_01
transcript.pyannote[2763].start 12107.86034375
transcript.pyannote[2763].end 12108.21471875
transcript.pyannote[2764].speaker SPEAKER_01
transcript.pyannote[2764].start 12109.15971875
transcript.pyannote[2764].end 12111.45471875
transcript.pyannote[2765].speaker SPEAKER_10
transcript.pyannote[2765].start 12111.10034375
transcript.pyannote[2765].end 12113.24346875
transcript.pyannote[2766].speaker SPEAKER_01
transcript.pyannote[2766].start 12111.92721875
transcript.pyannote[2766].end 12131.21534375
transcript.pyannote[2767].speaker SPEAKER_10
transcript.pyannote[2767].start 12131.46846875
transcript.pyannote[2767].end 12138.92721875
transcript.pyannote[2768].speaker SPEAKER_10
transcript.pyannote[2768].start 12139.28159375
transcript.pyannote[2768].end 12141.15471875
transcript.pyannote[2769].speaker SPEAKER_10
transcript.pyannote[2769].start 12141.18846875
transcript.pyannote[2769].end 12142.94346875
transcript.pyannote[2770].speaker SPEAKER_10
transcript.pyannote[2770].start 12143.58471875
transcript.pyannote[2770].end 12147.01034375
transcript.pyannote[2771].speaker SPEAKER_10
transcript.pyannote[2771].start 12147.33096875
transcript.pyannote[2771].end 12156.64596875
transcript.pyannote[2772].speaker SPEAKER_01
transcript.pyannote[2772].start 12156.22409375
transcript.pyannote[2772].end 12194.93534375
transcript.pyannote[2773].speaker SPEAKER_10
transcript.pyannote[2773].start 12157.32096875
transcript.pyannote[2773].end 12157.67534375
transcript.pyannote[2774].speaker SPEAKER_02
transcript.pyannote[2774].start 12183.61221875
transcript.pyannote[2774].end 12183.67971875
transcript.pyannote[2775].speaker SPEAKER_36
transcript.pyannote[2775].start 12195.50909375
transcript.pyannote[2775].end 12197.61846875
transcript.pyannote[2776].speaker SPEAKER_36
transcript.pyannote[2776].start 12197.87159375
transcript.pyannote[2776].end 12199.89659375
transcript.pyannote[2777].speaker SPEAKER_36
transcript.pyannote[2777].start 12200.36909375
transcript.pyannote[2777].end 12213.61596875
transcript.pyannote[2778].speaker SPEAKER_41
transcript.pyannote[2778].start 12207.28784375
transcript.pyannote[2778].end 12207.40596875
transcript.pyannote[2779].speaker SPEAKER_36
transcript.pyannote[2779].start 12213.78471875
transcript.pyannote[2779].end 12227.33534375
transcript.pyannote[2780].speaker SPEAKER_33
transcript.pyannote[2780].start 12216.46784375
transcript.pyannote[2780].end 12216.97409375
transcript.pyannote[2781].speaker SPEAKER_01
transcript.pyannote[2781].start 12227.62221875
transcript.pyannote[2781].end 12269.79284375
transcript.pyannote[2782].speaker SPEAKER_00
transcript.pyannote[2782].start 12244.21034375
transcript.pyannote[2782].end 12244.61534375
transcript.pyannote[2783].speaker SPEAKER_00
transcript.pyannote[2783].start 12249.39096875
transcript.pyannote[2783].end 12249.88034375
transcript.pyannote[2784].speaker SPEAKER_39
transcript.pyannote[2784].start 12269.84346875
transcript.pyannote[2784].end 12270.14721875
transcript.pyannote[2785].speaker SPEAKER_01
transcript.pyannote[2785].start 12270.14721875
transcript.pyannote[2785].end 12270.88971875
transcript.pyannote[2786].speaker SPEAKER_39
transcript.pyannote[2786].start 12270.16409375
transcript.pyannote[2786].end 12270.23159375
transcript.pyannote[2787].speaker SPEAKER_01
transcript.pyannote[2787].start 12271.88534375
transcript.pyannote[2787].end 12272.61096875
transcript.pyannote[2788].speaker SPEAKER_05
transcript.pyannote[2788].start 12277.58909375
transcript.pyannote[2788].end 12280.18784375
transcript.pyannote[2789].speaker SPEAKER_44
transcript.pyannote[2789].start 12284.92971875
transcript.pyannote[2789].end 12286.36409375
transcript.pyannote[2790].speaker SPEAKER_44
transcript.pyannote[2790].start 12286.90409375
transcript.pyannote[2790].end 12287.84909375
transcript.pyannote[2791].speaker SPEAKER_44
transcript.pyannote[2791].start 12288.08534375
transcript.pyannote[2791].end 12288.87846875
transcript.pyannote[2792].speaker SPEAKER_05
transcript.pyannote[2792].start 12288.33846875
transcript.pyannote[2792].end 12288.91221875
transcript.pyannote[2793].speaker SPEAKER_44
transcript.pyannote[2793].start 12288.91221875
transcript.pyannote[2793].end 12294.48096875
transcript.pyannote[2794].speaker SPEAKER_05
transcript.pyannote[2794].start 12293.78909375
transcript.pyannote[2794].end 12295.02096875
transcript.pyannote[2795].speaker SPEAKER_44
transcript.pyannote[2795].start 12294.97034375
transcript.pyannote[2795].end 12296.69159375
transcript.pyannote[2796].speaker SPEAKER_05
transcript.pyannote[2796].start 12295.08846875
transcript.pyannote[2796].end 12295.51034375
transcript.pyannote[2797].speaker SPEAKER_44
transcript.pyannote[2797].start 12297.28221875
transcript.pyannote[2797].end 12307.08659375
transcript.pyannote[2798].speaker SPEAKER_05
transcript.pyannote[2798].start 12297.33284375
transcript.pyannote[2798].end 12298.42971875
transcript.pyannote[2799].speaker SPEAKER_44
transcript.pyannote[2799].start 12307.40721875
transcript.pyannote[2799].end 12308.72346875
transcript.pyannote[2800].speaker SPEAKER_44
transcript.pyannote[2800].start 12308.87534375
transcript.pyannote[2800].end 12311.00159375
transcript.pyannote[2801].speaker SPEAKER_44
transcript.pyannote[2801].start 12311.59221875
transcript.pyannote[2801].end 12316.82346875
transcript.pyannote[2802].speaker SPEAKER_44
transcript.pyannote[2802].start 12317.22846875
transcript.pyannote[2802].end 12326.18909375
transcript.pyannote[2803].speaker SPEAKER_44
transcript.pyannote[2803].start 12326.47596875
transcript.pyannote[2803].end 12334.05284375
transcript.pyannote[2804].speaker SPEAKER_44
transcript.pyannote[2804].start 12334.12034375
transcript.pyannote[2804].end 12334.64346875
transcript.pyannote[2805].speaker SPEAKER_44
transcript.pyannote[2805].start 12334.98096875
transcript.pyannote[2805].end 12339.73971875
transcript.pyannote[2806].speaker SPEAKER_44
transcript.pyannote[2806].start 12339.99284375
transcript.pyannote[2806].end 12341.47784375
transcript.pyannote[2807].speaker SPEAKER_44
transcript.pyannote[2807].start 12342.00096875
transcript.pyannote[2807].end 12351.82221875
transcript.pyannote[2808].speaker SPEAKER_44
transcript.pyannote[2808].start 12351.99096875
transcript.pyannote[2808].end 12359.98971875
transcript.pyannote[2809].speaker SPEAKER_44
transcript.pyannote[2809].start 12360.88409375
transcript.pyannote[2809].end 12367.24596875
transcript.pyannote[2810].speaker SPEAKER_44
transcript.pyannote[2810].start 12367.48221875
transcript.pyannote[2810].end 12370.89096875
transcript.pyannote[2811].speaker SPEAKER_44
transcript.pyannote[2811].start 12371.22846875
transcript.pyannote[2811].end 12373.77659375
transcript.pyannote[2812].speaker SPEAKER_44
transcript.pyannote[2812].start 12374.06346875
transcript.pyannote[2812].end 12378.14721875
transcript.pyannote[2813].speaker SPEAKER_44
transcript.pyannote[2813].start 12378.41721875
transcript.pyannote[2813].end 12381.84284375
transcript.pyannote[2814].speaker SPEAKER_44
transcript.pyannote[2814].start 12382.43346875
transcript.pyannote[2814].end 12402.22784375
transcript.pyannote[2815].speaker SPEAKER_44
transcript.pyannote[2815].start 12403.66221875
transcript.pyannote[2815].end 12404.75909375
transcript.pyannote[2816].speaker SPEAKER_17
transcript.pyannote[2816].start 12405.82221875
transcript.pyannote[2816].end 12407.29034375
transcript.pyannote[2817].speaker SPEAKER_17
transcript.pyannote[2817].start 12407.79659375
transcript.pyannote[2817].end 12411.00284375
transcript.pyannote[2818].speaker SPEAKER_44
transcript.pyannote[2818].start 12410.78346875
transcript.pyannote[2818].end 12424.11471875
transcript.pyannote[2819].speaker SPEAKER_44
transcript.pyannote[2819].start 12424.45221875
transcript.pyannote[2819].end 12435.60659375
transcript.pyannote[2820].speaker SPEAKER_17
transcript.pyannote[2820].start 12434.35784375
transcript.pyannote[2820].end 12446.25471875
transcript.pyannote[2821].speaker SPEAKER_44
transcript.pyannote[2821].start 12435.92721875
transcript.pyannote[2821].end 12435.94409375
transcript.pyannote[2822].speaker SPEAKER_44
transcript.pyannote[2822].start 12435.96096875
transcript.pyannote[2822].end 12436.12971875
transcript.pyannote[2823].speaker SPEAKER_44
transcript.pyannote[2823].start 12438.28971875
transcript.pyannote[2823].end 12438.57659375
transcript.pyannote[2824].speaker SPEAKER_44
transcript.pyannote[2824].start 12442.05284375
transcript.pyannote[2824].end 12442.30596875
transcript.pyannote[2825].speaker SPEAKER_44
transcript.pyannote[2825].start 12445.81596875
transcript.pyannote[2825].end 12479.97096875
transcript.pyannote[2826].speaker SPEAKER_17
transcript.pyannote[2826].start 12448.56659375
transcript.pyannote[2826].end 12451.38471875
transcript.pyannote[2827].speaker SPEAKER_39
transcript.pyannote[2827].start 12471.75284375
transcript.pyannote[2827].end 12471.97221875
transcript.pyannote[2828].speaker SPEAKER_00
transcript.pyannote[2828].start 12471.97221875
transcript.pyannote[2828].end 12472.05659375
transcript.pyannote[2829].speaker SPEAKER_44
transcript.pyannote[2829].start 12480.34221875
transcript.pyannote[2829].end 12485.62409375
transcript.pyannote[2830].speaker SPEAKER_44
transcript.pyannote[2830].start 12485.92784375
transcript.pyannote[2830].end 12520.63971875
transcript.pyannote[2831].speaker SPEAKER_17
transcript.pyannote[2831].start 12520.63971875
transcript.pyannote[2831].end 12533.73471875
transcript.pyannote[2832].speaker SPEAKER_44
transcript.pyannote[2832].start 12527.79471875
transcript.pyannote[2832].end 12529.26284375
transcript.pyannote[2833].speaker SPEAKER_33
transcript.pyannote[2833].start 12529.26284375
transcript.pyannote[2833].end 12529.44846875
transcript.pyannote[2834].speaker SPEAKER_33
transcript.pyannote[2834].start 12531.22034375
transcript.pyannote[2834].end 12531.23721875
transcript.pyannote[2835].speaker SPEAKER_33
transcript.pyannote[2835].start 12531.25409375
transcript.pyannote[2835].end 12531.65909375
transcript.pyannote[2836].speaker SPEAKER_33
transcript.pyannote[2836].start 12533.16096875
transcript.pyannote[2836].end 12533.98784375
transcript.pyannote[2837].speaker SPEAKER_17
transcript.pyannote[2837].start 12533.95409375
transcript.pyannote[2837].end 12545.76659375
transcript.pyannote[2838].speaker SPEAKER_44
transcript.pyannote[2838].start 12538.27409375
transcript.pyannote[2838].end 12538.35846875
transcript.pyannote[2839].speaker SPEAKER_33
transcript.pyannote[2839].start 12538.35846875
transcript.pyannote[2839].end 12538.54409375
transcript.pyannote[2840].speaker SPEAKER_44
transcript.pyannote[2840].start 12538.54409375
transcript.pyannote[2840].end 12538.61159375
transcript.pyannote[2841].speaker SPEAKER_44
transcript.pyannote[2841].start 12545.02409375
transcript.pyannote[2841].end 12553.47846875
transcript.pyannote[2842].speaker SPEAKER_44
transcript.pyannote[2842].start 12553.95096875
transcript.pyannote[2842].end 12557.59596875
transcript.pyannote[2843].speaker SPEAKER_44
transcript.pyannote[2843].start 12557.68034375
transcript.pyannote[2843].end 12560.31284375
transcript.pyannote[2844].speaker SPEAKER_44
transcript.pyannote[2844].start 12560.61659375
transcript.pyannote[2844].end 12566.97846875
transcript.pyannote[2845].speaker SPEAKER_44
transcript.pyannote[2845].start 12567.53534375
transcript.pyannote[2845].end 12582.01409375
transcript.pyannote[2846].speaker SPEAKER_00
transcript.pyannote[2846].start 12574.01534375
transcript.pyannote[2846].end 12574.03221875
transcript.pyannote[2847].speaker SPEAKER_17
transcript.pyannote[2847].start 12574.03221875
transcript.pyannote[2847].end 12575.80409375
transcript.pyannote[2848].speaker SPEAKER_39
transcript.pyannote[2848].start 12575.80409375
transcript.pyannote[2848].end 12575.82096875
transcript.pyannote[2849].speaker SPEAKER_44
transcript.pyannote[2849].start 12582.11534375
transcript.pyannote[2849].end 12583.19534375
transcript.pyannote[2850].speaker SPEAKER_44
transcript.pyannote[2850].start 12583.48221875
transcript.pyannote[2850].end 12585.30471875
transcript.pyannote[2851].speaker SPEAKER_44
transcript.pyannote[2851].start 12585.59159375
transcript.pyannote[2851].end 12589.28721875
transcript.pyannote[2852].speaker SPEAKER_44
transcript.pyannote[2852].start 12589.77659375
transcript.pyannote[2852].end 12590.11409375
transcript.pyannote[2853].speaker SPEAKER_44
transcript.pyannote[2853].start 12590.83971875
transcript.pyannote[2853].end 12599.95221875
transcript.pyannote[2854].speaker SPEAKER_44
transcript.pyannote[2854].start 12600.35721875
transcript.pyannote[2854].end 12601.21784375
transcript.pyannote[2855].speaker SPEAKER_17
transcript.pyannote[2855].start 12601.60596875
transcript.pyannote[2855].end 12605.26784375
transcript.pyannote[2856].speaker SPEAKER_44
transcript.pyannote[2856].start 12605.14971875
transcript.pyannote[2856].end 12617.80596875
transcript.pyannote[2857].speaker SPEAKER_39
transcript.pyannote[2857].start 12614.26221875
transcript.pyannote[2857].end 12614.71784375
transcript.pyannote[2858].speaker SPEAKER_44
transcript.pyannote[2858].start 12618.04221875
transcript.pyannote[2858].end 12620.15159375
transcript.pyannote[2859].speaker SPEAKER_44
transcript.pyannote[2859].start 12620.69159375
transcript.pyannote[2859].end 12633.39846875
transcript.pyannote[2860].speaker SPEAKER_44
transcript.pyannote[2860].start 12633.53346875
transcript.pyannote[2860].end 12634.29284375
transcript.pyannote[2861].speaker SPEAKER_44
transcript.pyannote[2861].start 12634.37721875
transcript.pyannote[2861].end 12674.67471875
transcript.pyannote[2862].speaker SPEAKER_17
transcript.pyannote[2862].start 12673.27409375
transcript.pyannote[2862].end 12674.11784375
transcript.pyannote[2863].speaker SPEAKER_17
transcript.pyannote[2863].start 12674.67471875
transcript.pyannote[2863].end 12676.41284375
transcript.pyannote[2864].speaker SPEAKER_44
transcript.pyannote[2864].start 12676.41284375
transcript.pyannote[2864].end 12678.52221875
transcript.pyannote[2865].speaker SPEAKER_17
transcript.pyannote[2865].start 12676.85159375
transcript.pyannote[2865].end 12676.95284375
transcript.pyannote[2866].speaker SPEAKER_05
transcript.pyannote[2866].start 12676.95284375
transcript.pyannote[2866].end 12676.98659375
transcript.pyannote[2867].speaker SPEAKER_17
transcript.pyannote[2867].start 12676.98659375
transcript.pyannote[2867].end 12677.64471875
transcript.pyannote[2868].speaker SPEAKER_05
transcript.pyannote[2868].start 12677.64471875
transcript.pyannote[2868].end 12677.86409375
transcript.pyannote[2869].speaker SPEAKER_17
transcript.pyannote[2869].start 12677.86409375
transcript.pyannote[2869].end 12678.03284375
transcript.pyannote[2870].speaker SPEAKER_05
transcript.pyannote[2870].start 12678.03284375
transcript.pyannote[2870].end 12678.13409375
transcript.pyannote[2871].speaker SPEAKER_17
transcript.pyannote[2871].start 12678.13409375
transcript.pyannote[2871].end 12678.16784375
transcript.pyannote[2872].speaker SPEAKER_05
transcript.pyannote[2872].start 12678.97784375
transcript.pyannote[2872].end 12681.71159375
transcript.pyannote[2873].speaker SPEAKER_05
transcript.pyannote[2873].start 12682.03221875
transcript.pyannote[2873].end 12685.01909375
transcript.pyannote[2874].speaker SPEAKER_05
transcript.pyannote[2874].start 12685.39034375
transcript.pyannote[2874].end 12686.97659375
transcript.pyannote[2875].speaker SPEAKER_05
transcript.pyannote[2875].start 12687.36471875
transcript.pyannote[2875].end 12690.77346875
transcript.pyannote[2876].speaker SPEAKER_18
transcript.pyannote[2876].start 12697.96221875
transcript.pyannote[2876].end 12700.00409375
transcript.pyannote[2877].speaker SPEAKER_03
transcript.pyannote[2877].start 12700.44284375
transcript.pyannote[2877].end 12701.60721875
transcript.pyannote[2878].speaker SPEAKER_03
transcript.pyannote[2878].start 12707.69909375
transcript.pyannote[2878].end 12707.71596875
transcript.pyannote[2879].speaker SPEAKER_33
transcript.pyannote[2879].start 12707.71596875
transcript.pyannote[2879].end 12708.45846875
transcript.pyannote[2880].speaker SPEAKER_18
transcript.pyannote[2880].start 12708.62721875
transcript.pyannote[2880].end 12711.61409375
transcript.pyannote[2881].speaker SPEAKER_18
transcript.pyannote[2881].start 12711.96846875
transcript.pyannote[2881].end 12715.10721875
transcript.pyannote[2882].speaker SPEAKER_18
transcript.pyannote[2882].start 12715.29284375
transcript.pyannote[2882].end 12716.45721875
transcript.pyannote[2883].speaker SPEAKER_18
transcript.pyannote[2883].start 12716.77784375
transcript.pyannote[2883].end 12718.43159375
transcript.pyannote[2884].speaker SPEAKER_18
transcript.pyannote[2884].start 12718.98846875
transcript.pyannote[2884].end 12720.65909375
transcript.pyannote[2885].speaker SPEAKER_18
transcript.pyannote[2885].start 12721.09784375
transcript.pyannote[2885].end 12724.18596875
transcript.pyannote[2886].speaker SPEAKER_18
transcript.pyannote[2886].start 12724.59096875
transcript.pyannote[2886].end 12727.54409375
transcript.pyannote[2887].speaker SPEAKER_36
transcript.pyannote[2887].start 12728.37096875
transcript.pyannote[2887].end 12731.17221875
transcript.pyannote[2888].speaker SPEAKER_36
transcript.pyannote[2888].start 12731.59409375
transcript.pyannote[2888].end 12734.05784375
transcript.pyannote[2889].speaker SPEAKER_18
transcript.pyannote[2889].start 12734.05784375
transcript.pyannote[2889].end 12734.12534375
transcript.pyannote[2890].speaker SPEAKER_36
transcript.pyannote[2890].start 12734.12534375
transcript.pyannote[2890].end 12734.15909375
transcript.pyannote[2891].speaker SPEAKER_18
transcript.pyannote[2891].start 12734.15909375
transcript.pyannote[2891].end 12734.27721875
transcript.pyannote[2892].speaker SPEAKER_36
transcript.pyannote[2892].start 12734.27721875
transcript.pyannote[2892].end 12735.96471875
transcript.pyannote[2893].speaker SPEAKER_18
transcript.pyannote[2893].start 12735.42471875
transcript.pyannote[2893].end 12737.12909375
transcript.pyannote[2894].speaker SPEAKER_36
transcript.pyannote[2894].start 12737.01096875
transcript.pyannote[2894].end 12737.90534375
transcript.pyannote[2895].speaker SPEAKER_18
transcript.pyannote[2895].start 12737.65221875
transcript.pyannote[2895].end 12741.93846875
transcript.pyannote[2896].speaker SPEAKER_36
transcript.pyannote[2896].start 12742.10721875
transcript.pyannote[2896].end 12746.69721875
transcript.pyannote[2897].speaker SPEAKER_18
transcript.pyannote[2897].start 12742.91721875
transcript.pyannote[2897].end 12743.17034375
transcript.pyannote[2898].speaker SPEAKER_18
transcript.pyannote[2898].start 12746.39346875
transcript.pyannote[2898].end 12746.64659375
transcript.pyannote[2899].speaker SPEAKER_18
transcript.pyannote[2899].start 12746.69721875
transcript.pyannote[2899].end 12746.73096875
transcript.pyannote[2900].speaker SPEAKER_36
transcript.pyannote[2900].start 12747.01784375
transcript.pyannote[2900].end 12750.08909375
transcript.pyannote[2901].speaker SPEAKER_36
transcript.pyannote[2901].start 12750.42659375
transcript.pyannote[2901].end 12752.87346875
transcript.pyannote[2902].speaker SPEAKER_18
transcript.pyannote[2902].start 12752.87346875
transcript.pyannote[2902].end 12756.72096875
transcript.pyannote[2903].speaker SPEAKER_36
transcript.pyannote[2903].start 12753.70034375
transcript.pyannote[2903].end 12753.81846875
transcript.pyannote[2904].speaker SPEAKER_36
transcript.pyannote[2904].start 12756.67034375
transcript.pyannote[2904].end 12759.55596875
transcript.pyannote[2905].speaker SPEAKER_18
transcript.pyannote[2905].start 12757.07534375
transcript.pyannote[2905].end 12757.64909375
transcript.pyannote[2906].speaker SPEAKER_18
transcript.pyannote[2906].start 12758.34096875
transcript.pyannote[2906].end 12761.27721875
transcript.pyannote[2907].speaker SPEAKER_36
transcript.pyannote[2907].start 12761.27721875
transcript.pyannote[2907].end 12766.91346875
transcript.pyannote[2908].speaker SPEAKER_18
transcript.pyannote[2908].start 12764.17971875
transcript.pyannote[2908].end 12767.72346875
transcript.pyannote[2909].speaker SPEAKER_36
transcript.pyannote[2909].start 12769.32659375
transcript.pyannote[2909].end 12770.54159375
transcript.pyannote[2910].speaker SPEAKER_18
transcript.pyannote[2910].start 12770.72721875
transcript.pyannote[2910].end 12771.58784375
transcript.pyannote[2911].speaker SPEAKER_36
transcript.pyannote[2911].start 12772.09409375
transcript.pyannote[2911].end 12772.75221875
transcript.pyannote[2912].speaker SPEAKER_18
transcript.pyannote[2912].start 12773.22471875
transcript.pyannote[2912].end 12774.22034375
transcript.pyannote[2913].speaker SPEAKER_36
transcript.pyannote[2913].start 12774.79409375
transcript.pyannote[2913].end 12777.71346875
transcript.pyannote[2914].speaker SPEAKER_18
transcript.pyannote[2914].start 12775.40159375
transcript.pyannote[2914].end 12775.97534375
transcript.pyannote[2915].speaker SPEAKER_18
transcript.pyannote[2915].start 12777.67971875
transcript.pyannote[2915].end 12781.17284375
transcript.pyannote[2916].speaker SPEAKER_36
transcript.pyannote[2916].start 12778.32096875
transcript.pyannote[2916].end 12779.01284375
transcript.pyannote[2917].speaker SPEAKER_36
transcript.pyannote[2917].start 12781.17284375
transcript.pyannote[2917].end 12781.81409375
transcript.pyannote[2918].speaker SPEAKER_18
transcript.pyannote[2918].start 12781.47659375
transcript.pyannote[2918].end 12782.70846875
transcript.pyannote[2919].speaker SPEAKER_33
transcript.pyannote[2919].start 12782.70846875
transcript.pyannote[2919].end 12783.43409375
transcript.pyannote[2920].speaker SPEAKER_18
transcript.pyannote[2920].start 12783.14721875
transcript.pyannote[2920].end 12783.97409375
transcript.pyannote[2921].speaker SPEAKER_33
transcript.pyannote[2921].start 12783.85596875
transcript.pyannote[2921].end 12783.92346875
transcript.pyannote[2922].speaker SPEAKER_36
transcript.pyannote[2922].start 12783.97409375
transcript.pyannote[2922].end 12784.34534375
transcript.pyannote[2923].speaker SPEAKER_33
transcript.pyannote[2923].start 12784.34534375
transcript.pyannote[2923].end 12784.36221875
transcript.pyannote[2924].speaker SPEAKER_18
transcript.pyannote[2924].start 12784.54784375
transcript.pyannote[2924].end 12786.80909375
transcript.pyannote[2925].speaker SPEAKER_18
transcript.pyannote[2925].start 12787.06221875
transcript.pyannote[2925].end 12788.31096875
transcript.pyannote[2926].speaker SPEAKER_36
transcript.pyannote[2926].start 12788.76659375
transcript.pyannote[2926].end 12789.71159375
transcript.pyannote[2927].speaker SPEAKER_18
transcript.pyannote[2927].start 12789.71159375
transcript.pyannote[2927].end 12791.02784375
transcript.pyannote[2928].speaker SPEAKER_36
transcript.pyannote[2928].start 12791.58471875
transcript.pyannote[2928].end 12792.14159375
transcript.pyannote[2929].speaker SPEAKER_18
transcript.pyannote[2929].start 12793.30596875
transcript.pyannote[2929].end 12799.85346875
transcript.pyannote[2930].speaker SPEAKER_36
transcript.pyannote[2930].start 12798.55409375
transcript.pyannote[2930].end 12806.62034375
transcript.pyannote[2931].speaker SPEAKER_18
transcript.pyannote[2931].start 12800.95034375
transcript.pyannote[2931].end 12801.28784375
transcript.pyannote[2932].speaker SPEAKER_18
transcript.pyannote[2932].start 12801.96284375
transcript.pyannote[2932].end 12802.28346875
transcript.pyannote[2933].speaker SPEAKER_18
transcript.pyannote[2933].start 12805.11846875
transcript.pyannote[2933].end 12812.45909375
transcript.pyannote[2934].speaker SPEAKER_36
transcript.pyannote[2934].start 12809.57346875
transcript.pyannote[2934].end 12809.67471875
transcript.pyannote[2935].speaker SPEAKER_36
transcript.pyannote[2935].start 12812.02034375
transcript.pyannote[2935].end 12813.03284375
transcript.pyannote[2936].speaker SPEAKER_18
transcript.pyannote[2936].start 12813.45471875
transcript.pyannote[2936].end 12816.59346875
transcript.pyannote[2937].speaker SPEAKER_36
transcript.pyannote[2937].start 12815.73284375
transcript.pyannote[2937].end 12815.78346875
transcript.pyannote[2938].speaker SPEAKER_36
transcript.pyannote[2938].start 12815.96909375
transcript.pyannote[2938].end 12816.07034375
transcript.pyannote[2939].speaker SPEAKER_36
transcript.pyannote[2939].start 12817.52159375
transcript.pyannote[2939].end 12817.92659375
transcript.pyannote[2940].speaker SPEAKER_18
transcript.pyannote[2940].start 12818.65221875
transcript.pyannote[2940].end 12819.29346875
transcript.pyannote[2941].speaker SPEAKER_36
transcript.pyannote[2941].start 12819.74909375
transcript.pyannote[2941].end 12820.00221875
transcript.pyannote[2942].speaker SPEAKER_18
transcript.pyannote[2942].start 12820.20471875
transcript.pyannote[2942].end 12820.62659375
transcript.pyannote[2943].speaker SPEAKER_18
transcript.pyannote[2943].start 12822.12846875
transcript.pyannote[2943].end 12823.42784375
transcript.pyannote[2944].speaker SPEAKER_36
transcript.pyannote[2944].start 12823.42784375
transcript.pyannote[2944].end 12824.59221875
transcript.pyannote[2945].speaker SPEAKER_36
transcript.pyannote[2945].start 12824.94659375
transcript.pyannote[2945].end 12828.43971875
transcript.pyannote[2946].speaker SPEAKER_18
transcript.pyannote[2946].start 12828.01784375
transcript.pyannote[2946].end 12832.45596875
transcript.pyannote[2947].speaker SPEAKER_36
transcript.pyannote[2947].start 12832.30409375
transcript.pyannote[2947].end 12837.13034375
transcript.pyannote[2948].speaker SPEAKER_18
transcript.pyannote[2948].start 12833.87346875
transcript.pyannote[2948].end 12834.75096875
transcript.pyannote[2949].speaker SPEAKER_18
transcript.pyannote[2949].start 12837.33284375
transcript.pyannote[2949].end 12841.95659375
transcript.pyannote[2950].speaker SPEAKER_36
transcript.pyannote[2950].start 12837.67034375
transcript.pyannote[2950].end 12837.68721875
transcript.pyannote[2951].speaker SPEAKER_36
transcript.pyannote[2951].start 12837.70409375
transcript.pyannote[2951].end 12838.37909375
transcript.pyannote[2952].speaker SPEAKER_36
transcript.pyannote[2952].start 12843.12096875
transcript.pyannote[2952].end 12846.71534375
transcript.pyannote[2953].speaker SPEAKER_18
transcript.pyannote[2953].start 12846.71534375
transcript.pyannote[2953].end 12846.96846875
transcript.pyannote[2954].speaker SPEAKER_36
transcript.pyannote[2954].start 12846.96846875
transcript.pyannote[2954].end 12847.08659375
transcript.pyannote[2955].speaker SPEAKER_18
transcript.pyannote[2955].start 12847.08659375
transcript.pyannote[2955].end 12847.10346875
transcript.pyannote[2956].speaker SPEAKER_36
transcript.pyannote[2956].start 12847.10346875
transcript.pyannote[2956].end 12847.12034375
transcript.pyannote[2957].speaker SPEAKER_36
transcript.pyannote[2957].start 12847.96409375
transcript.pyannote[2957].end 12850.39409375
transcript.pyannote[2958].speaker SPEAKER_18
transcript.pyannote[2958].start 12849.24659375
transcript.pyannote[2958].end 12849.56721875
transcript.pyannote[2959].speaker SPEAKER_36
transcript.pyannote[2959].start 12850.78221875
transcript.pyannote[2959].end 12853.02659375
transcript.pyannote[2960].speaker SPEAKER_36
transcript.pyannote[2960].start 12853.07721875
transcript.pyannote[2960].end 12856.01346875
transcript.pyannote[2961].speaker SPEAKER_18
transcript.pyannote[2961].start 12853.39784375
transcript.pyannote[2961].end 12854.00534375
transcript.pyannote[2962].speaker SPEAKER_36
transcript.pyannote[2962].start 12857.07659375
transcript.pyannote[2962].end 12860.19846875
transcript.pyannote[2963].speaker SPEAKER_18
transcript.pyannote[2963].start 12858.32534375
transcript.pyannote[2963].end 12860.24909375
transcript.pyannote[2964].speaker SPEAKER_36
transcript.pyannote[2964].start 12860.24909375
transcript.pyannote[2964].end 12864.48471875
transcript.pyannote[2965].speaker SPEAKER_18
transcript.pyannote[2965].start 12863.52284375
transcript.pyannote[2965].end 12870.55971875
transcript.pyannote[2966].speaker SPEAKER_36
transcript.pyannote[2966].start 12870.25596875
transcript.pyannote[2966].end 12873.90096875
transcript.pyannote[2967].speaker SPEAKER_18
transcript.pyannote[2967].start 12873.37784375
transcript.pyannote[2967].end 12873.81659375
transcript.pyannote[2968].speaker SPEAKER_18
transcript.pyannote[2968].start 12873.95159375
transcript.pyannote[2968].end 12874.20471875
transcript.pyannote[2969].speaker SPEAKER_36
transcript.pyannote[2969].start 12874.20471875
transcript.pyannote[2969].end 12874.22159375
transcript.pyannote[2970].speaker SPEAKER_18
transcript.pyannote[2970].start 12874.22159375
transcript.pyannote[2970].end 12874.23846875
transcript.pyannote[2971].speaker SPEAKER_36
transcript.pyannote[2971].start 12874.23846875
transcript.pyannote[2971].end 12877.44471875
transcript.pyannote[2972].speaker SPEAKER_18
transcript.pyannote[2972].start 12874.27221875
transcript.pyannote[2972].end 12874.42409375
transcript.pyannote[2973].speaker SPEAKER_18
transcript.pyannote[2973].start 12874.77846875
transcript.pyannote[2973].end 12875.13284375
transcript.pyannote[2974].speaker SPEAKER_36
transcript.pyannote[2974].start 12877.68096875
transcript.pyannote[2974].end 12877.83284375
transcript.pyannote[2975].speaker SPEAKER_18
transcript.pyannote[2975].start 12878.06909375
transcript.pyannote[2975].end 12879.41909375
transcript.pyannote[2976].speaker SPEAKER_36
transcript.pyannote[2976].start 12880.76909375
transcript.pyannote[2976].end 12882.32159375
transcript.pyannote[2977].speaker SPEAKER_18
transcript.pyannote[2977].start 12882.43971875
transcript.pyannote[2977].end 12883.03034375
transcript.pyannote[2978].speaker SPEAKER_18
transcript.pyannote[2978].start 12883.75596875
transcript.pyannote[2978].end 12885.62909375
transcript.pyannote[2979].speaker SPEAKER_36
transcript.pyannote[2979].start 12885.54471875
transcript.pyannote[2979].end 12885.61221875
transcript.pyannote[2980].speaker SPEAKER_36
transcript.pyannote[2980].start 12885.62909375
transcript.pyannote[2980].end 12885.86534375
transcript.pyannote[2981].speaker SPEAKER_18
transcript.pyannote[2981].start 12885.86534375
transcript.pyannote[2981].end 12885.88221875
transcript.pyannote[2982].speaker SPEAKER_33
transcript.pyannote[2982].start 12885.86534375
transcript.pyannote[2982].end 12885.88221875
transcript.pyannote[2983].speaker SPEAKER_36
transcript.pyannote[2983].start 12885.88221875
transcript.pyannote[2983].end 12885.89909375
transcript.pyannote[2984].speaker SPEAKER_33
transcript.pyannote[2984].start 12885.89909375
transcript.pyannote[2984].end 12886.00034375
transcript.pyannote[2985].speaker SPEAKER_18
transcript.pyannote[2985].start 12885.89909375
transcript.pyannote[2985].end 12888.83534375
transcript.pyannote[2986].speaker SPEAKER_18
transcript.pyannote[2986].start 12889.25721875
transcript.pyannote[2986].end 12890.74221875
transcript.pyannote[2987].speaker SPEAKER_33
transcript.pyannote[2987].start 12890.74221875
transcript.pyannote[2987].end 12892.21034375
transcript.pyannote[2988].speaker SPEAKER_18
transcript.pyannote[2988].start 12890.97846875
transcript.pyannote[2988].end 12891.94034375
transcript.pyannote[2989].speaker SPEAKER_18
transcript.pyannote[2989].start 12893.00346875
transcript.pyannote[2989].end 12893.29034375
transcript.pyannote[2990].speaker SPEAKER_18
transcript.pyannote[2990].start 12893.64471875
transcript.pyannote[2990].end 12895.45034375
transcript.pyannote[2991].speaker SPEAKER_18
transcript.pyannote[2991].start 12895.77096875
transcript.pyannote[2991].end 12896.31096875
transcript.pyannote[2992].speaker SPEAKER_18
transcript.pyannote[2992].start 12896.90159375
transcript.pyannote[2992].end 12901.10346875
transcript.pyannote[2993].speaker SPEAKER_18
transcript.pyannote[2993].start 12901.69409375
transcript.pyannote[2993].end 12903.95534375
transcript.pyannote[2994].speaker SPEAKER_18
transcript.pyannote[2994].start 12904.34346875
transcript.pyannote[2994].end 12908.86596875
transcript.pyannote[2995].speaker SPEAKER_18
transcript.pyannote[2995].start 12909.15284375
transcript.pyannote[2995].end 12913.28721875
transcript.pyannote[2996].speaker SPEAKER_18
transcript.pyannote[2996].start 12914.09721875
transcript.pyannote[2996].end 12914.77221875
transcript.pyannote[2997].speaker SPEAKER_36
transcript.pyannote[2997].start 12915.19409375
transcript.pyannote[2997].end 12917.50596875
transcript.pyannote[2998].speaker SPEAKER_18
transcript.pyannote[2998].start 12917.53971875
transcript.pyannote[2998].end 12920.67846875
transcript.pyannote[2999].speaker SPEAKER_18
transcript.pyannote[2999].start 12921.92721875
transcript.pyannote[2999].end 12923.78346875
transcript.pyannote[3000].speaker SPEAKER_36
transcript.pyannote[3000].start 12924.50909375
transcript.pyannote[3000].end 12931.34346875
transcript.pyannote[3001].speaker SPEAKER_18
transcript.pyannote[3001].start 12929.33534375
transcript.pyannote[3001].end 12930.26346875
transcript.pyannote[3002].speaker SPEAKER_18
transcript.pyannote[3002].start 12930.65159375
transcript.pyannote[3002].end 12931.98471875
transcript.pyannote[3003].speaker SPEAKER_18
transcript.pyannote[3003].start 12932.17034375
transcript.pyannote[3003].end 12937.21596875
transcript.pyannote[3004].speaker SPEAKER_18
transcript.pyannote[3004].start 12937.35096875
transcript.pyannote[3004].end 12938.51534375
transcript.pyannote[3005].speaker SPEAKER_36
transcript.pyannote[3005].start 12937.68846875
transcript.pyannote[3005].end 12937.84034375
transcript.pyannote[3006].speaker SPEAKER_36
transcript.pyannote[3006].start 12938.80221875
transcript.pyannote[3006].end 12939.19034375
transcript.pyannote[3007].speaker SPEAKER_36
transcript.pyannote[3007].start 12939.51096875
transcript.pyannote[3007].end 12939.66284375
transcript.pyannote[3008].speaker SPEAKER_18
transcript.pyannote[3008].start 12939.66284375
transcript.pyannote[3008].end 12939.67971875
transcript.pyannote[3009].speaker SPEAKER_36
transcript.pyannote[3009].start 12939.67971875
transcript.pyannote[3009].end 12939.79784375
transcript.pyannote[3010].speaker SPEAKER_18
transcript.pyannote[3010].start 12939.79784375
transcript.pyannote[3010].end 12940.00034375
transcript.pyannote[3011].speaker SPEAKER_36
transcript.pyannote[3011].start 12940.00034375
transcript.pyannote[3011].end 12940.01721875
transcript.pyannote[3012].speaker SPEAKER_18
transcript.pyannote[3012].start 12940.01721875
transcript.pyannote[3012].end 12941.56971875
transcript.pyannote[3013].speaker SPEAKER_36
transcript.pyannote[3013].start 12940.97909375
transcript.pyannote[3013].end 12942.02534375
transcript.pyannote[3014].speaker SPEAKER_18
transcript.pyannote[3014].start 12942.02534375
transcript.pyannote[3014].end 12942.41346875
transcript.pyannote[3015].speaker SPEAKER_36
transcript.pyannote[3015].start 12942.04221875
transcript.pyannote[3015].end 12944.16846875
transcript.pyannote[3016].speaker SPEAKER_36
transcript.pyannote[3016].start 12944.53971875
transcript.pyannote[3016].end 12945.13034375
transcript.pyannote[3017].speaker SPEAKER_18
transcript.pyannote[3017].start 12944.55659375
transcript.pyannote[3017].end 12945.94034375
transcript.pyannote[3018].speaker SPEAKER_36
transcript.pyannote[3018].start 12946.24409375
transcript.pyannote[3018].end 12947.30721875
transcript.pyannote[3019].speaker SPEAKER_36
transcript.pyannote[3019].start 12947.49284375
transcript.pyannote[3019].end 12949.51784375
transcript.pyannote[3020].speaker SPEAKER_18
transcript.pyannote[3020].start 12948.55596875
transcript.pyannote[3020].end 12952.87596875
transcript.pyannote[3021].speaker SPEAKER_36
transcript.pyannote[3021].start 12949.95659375
transcript.pyannote[3021].end 12949.97346875
transcript.pyannote[3022].speaker SPEAKER_36
transcript.pyannote[3022].start 12953.48346875
transcript.pyannote[3022].end 12956.08221875
transcript.pyannote[3023].speaker SPEAKER_18
transcript.pyannote[3023].start 12956.03159375
transcript.pyannote[3023].end 12959.67659375
transcript.pyannote[3024].speaker SPEAKER_36
transcript.pyannote[3024].start 12958.42784375
transcript.pyannote[3024].end 12959.50784375
transcript.pyannote[3025].speaker SPEAKER_36
transcript.pyannote[3025].start 12959.87909375
transcript.pyannote[3025].end 12961.93784375
transcript.pyannote[3026].speaker SPEAKER_18
transcript.pyannote[3026].start 12962.12346875
transcript.pyannote[3026].end 12964.53659375
transcript.pyannote[3027].speaker SPEAKER_18
transcript.pyannote[3027].start 12964.90784375
transcript.pyannote[3027].end 12967.03409375
transcript.pyannote[3028].speaker SPEAKER_18
transcript.pyannote[3028].start 12967.97909375
transcript.pyannote[3028].end 12968.55284375
transcript.pyannote[3029].speaker SPEAKER_18
transcript.pyannote[3029].start 12968.83971875
transcript.pyannote[3029].end 12970.56096875
transcript.pyannote[3030].speaker SPEAKER_18
transcript.pyannote[3030].start 12970.94909375
transcript.pyannote[3030].end 12980.93909375
transcript.pyannote[3031].speaker SPEAKER_18
transcript.pyannote[3031].start 12981.46221875
transcript.pyannote[3031].end 12984.88784375
transcript.pyannote[3032].speaker SPEAKER_18
transcript.pyannote[3032].start 12985.14096875
transcript.pyannote[3032].end 12987.75659375
transcript.pyannote[3033].speaker SPEAKER_36
transcript.pyannote[3033].start 12989.62971875
transcript.pyannote[3033].end 12989.93346875
transcript.pyannote[3034].speaker SPEAKER_18
transcript.pyannote[3034].start 12990.03471875
transcript.pyannote[3034].end 12990.37221875
transcript.pyannote[3035].speaker SPEAKER_36
transcript.pyannote[3035].start 12991.51971875
transcript.pyannote[3035].end 12993.91596875
transcript.pyannote[3036].speaker SPEAKER_18
transcript.pyannote[3036].start 12993.02159375
transcript.pyannote[3036].end 12996.73409375
transcript.pyannote[3037].speaker SPEAKER_18
transcript.pyannote[3037].start 12997.08846875
transcript.pyannote[3037].end 12997.35846875
transcript.pyannote[3038].speaker SPEAKER_18
transcript.pyannote[3038].start 12998.25284375
transcript.pyannote[3038].end 13002.28596875
transcript.pyannote[3039].speaker SPEAKER_18
transcript.pyannote[3039].start 13002.85971875
transcript.pyannote[3039].end 13004.81721875
transcript.pyannote[3040].speaker SPEAKER_18
transcript.pyannote[3040].start 13005.15471875
transcript.pyannote[3040].end 13005.93096875
transcript.pyannote[3041].speaker SPEAKER_36
transcript.pyannote[3041].start 13006.18409375
transcript.pyannote[3041].end 13009.54221875
transcript.pyannote[3042].speaker SPEAKER_18
transcript.pyannote[3042].start 13009.81221875
transcript.pyannote[3042].end 13010.58846875
transcript.pyannote[3043].speaker SPEAKER_36
transcript.pyannote[3043].start 13009.89659375
transcript.pyannote[3043].end 13009.91346875
transcript.pyannote[3044].speaker SPEAKER_36
transcript.pyannote[3044].start 13009.96409375
transcript.pyannote[3044].end 13011.76971875
transcript.pyannote[3045].speaker SPEAKER_18
transcript.pyannote[3045].start 13010.90909375
transcript.pyannote[3045].end 13015.26284375
transcript.pyannote[3046].speaker SPEAKER_36
transcript.pyannote[3046].start 13012.36034375
transcript.pyannote[3046].end 13012.98471875
transcript.pyannote[3047].speaker SPEAKER_36
transcript.pyannote[3047].start 13014.84096875
transcript.pyannote[3047].end 13017.87846875
transcript.pyannote[3048].speaker SPEAKER_18
transcript.pyannote[3048].start 13017.99659375
transcript.pyannote[3048].end 13021.64159375
transcript.pyannote[3049].speaker SPEAKER_36
transcript.pyannote[3049].start 13020.37596875
transcript.pyannote[3049].end 13020.51096875
transcript.pyannote[3050].speaker SPEAKER_11
transcript.pyannote[3050].start 13027.04159375
transcript.pyannote[3050].end 13030.06221875
transcript.pyannote[3051].speaker SPEAKER_45
transcript.pyannote[3051].start 13037.53784375
transcript.pyannote[3051].end 13042.71846875
transcript.pyannote[3052].speaker SPEAKER_11
transcript.pyannote[3052].start 13039.88346875
transcript.pyannote[3052].end 13040.96346875
transcript.pyannote[3053].speaker SPEAKER_11
transcript.pyannote[3053].start 13043.00534375
transcript.pyannote[3053].end 13043.44409375
transcript.pyannote[3054].speaker SPEAKER_45
transcript.pyannote[3054].start 13043.44409375
transcript.pyannote[3054].end 13043.83221875
transcript.pyannote[3055].speaker SPEAKER_11
transcript.pyannote[3055].start 13043.83221875
transcript.pyannote[3055].end 13043.86596875
transcript.pyannote[3056].speaker SPEAKER_45
transcript.pyannote[3056].start 13047.81471875
transcript.pyannote[3056].end 13047.96659375
transcript.pyannote[3057].speaker SPEAKER_36
transcript.pyannote[3057].start 13047.96659375
transcript.pyannote[3057].end 13048.33784375
transcript.pyannote[3058].speaker SPEAKER_45
transcript.pyannote[3058].start 13048.64159375
transcript.pyannote[3058].end 13049.35034375
transcript.pyannote[3059].speaker SPEAKER_45
transcript.pyannote[3059].start 13049.78909375
transcript.pyannote[3059].end 13053.85596875
transcript.pyannote[3060].speaker SPEAKER_45
transcript.pyannote[3060].start 13054.26096875
transcript.pyannote[3060].end 13065.11159375
transcript.pyannote[3061].speaker SPEAKER_36
transcript.pyannote[3061].start 13065.46596875
transcript.pyannote[3061].end 13068.65534375
transcript.pyannote[3062].speaker SPEAKER_45
transcript.pyannote[3062].start 13068.06471875
transcript.pyannote[3062].end 13073.29596875
transcript.pyannote[3063].speaker SPEAKER_45
transcript.pyannote[3063].start 13073.61659375
transcript.pyannote[3063].end 13081.95284375
transcript.pyannote[3064].speaker SPEAKER_17
transcript.pyannote[3064].start 13081.95284375
transcript.pyannote[3064].end 13082.00346875
transcript.pyannote[3065].speaker SPEAKER_45
transcript.pyannote[3065].start 13082.42534375
transcript.pyannote[3065].end 13082.44221875
transcript.pyannote[3066].speaker SPEAKER_17
transcript.pyannote[3066].start 13082.44221875
transcript.pyannote[3066].end 13082.77971875
transcript.pyannote[3067].speaker SPEAKER_45
transcript.pyannote[3067].start 13082.77971875
transcript.pyannote[3067].end 13082.96534375
transcript.pyannote[3068].speaker SPEAKER_17
transcript.pyannote[3068].start 13082.96534375
transcript.pyannote[3068].end 13104.46409375
transcript.pyannote[3069].speaker SPEAKER_45
transcript.pyannote[3069].start 13104.46409375
transcript.pyannote[3069].end 13121.00159375
transcript.pyannote[3070].speaker SPEAKER_17
transcript.pyannote[3070].start 13107.75471875
transcript.pyannote[3070].end 13108.21034375
transcript.pyannote[3071].speaker SPEAKER_17
transcript.pyannote[3071].start 13111.77096875
transcript.pyannote[3071].end 13112.37846875
transcript.pyannote[3072].speaker SPEAKER_00
transcript.pyannote[3072].start 13112.37846875
transcript.pyannote[3072].end 13112.39534375
transcript.pyannote[3073].speaker SPEAKER_45
transcript.pyannote[3073].start 13121.32221875
transcript.pyannote[3073].end 13121.67659375
transcript.pyannote[3074].speaker SPEAKER_45
transcript.pyannote[3074].start 13122.33471875
transcript.pyannote[3074].end 13123.02659375
transcript.pyannote[3075].speaker SPEAKER_45
transcript.pyannote[3075].start 13123.38096875
transcript.pyannote[3075].end 13124.69721875
transcript.pyannote[3076].speaker SPEAKER_45
transcript.pyannote[3076].start 13125.72659375
transcript.pyannote[3076].end 13127.88659375
transcript.pyannote[3077].speaker SPEAKER_45
transcript.pyannote[3077].start 13128.34221875
transcript.pyannote[3077].end 13132.78034375
transcript.pyannote[3078].speaker SPEAKER_45
transcript.pyannote[3078].start 13133.13471875
transcript.pyannote[3078].end 13133.15159375
transcript.pyannote[3079].speaker SPEAKER_43
transcript.pyannote[3079].start 13133.15159375
transcript.pyannote[3079].end 13133.60721875
transcript.pyannote[3080].speaker SPEAKER_45
transcript.pyannote[3080].start 13133.60721875
transcript.pyannote[3080].end 13133.72534375
transcript.pyannote[3081].speaker SPEAKER_43
transcript.pyannote[3081].start 13133.72534375
transcript.pyannote[3081].end 13142.11221875
transcript.pyannote[3082].speaker SPEAKER_45
transcript.pyannote[3082].start 13135.48034375
transcript.pyannote[3082].end 13136.00346875
transcript.pyannote[3083].speaker SPEAKER_45
transcript.pyannote[3083].start 13141.65659375
transcript.pyannote[3083].end 13142.51721875
transcript.pyannote[3084].speaker SPEAKER_43
transcript.pyannote[3084].start 13142.21346875
transcript.pyannote[3084].end 13146.49971875
transcript.pyannote[3085].speaker SPEAKER_43
transcript.pyannote[3085].start 13146.80346875
transcript.pyannote[3085].end 13155.02159375
transcript.pyannote[3086].speaker SPEAKER_45
transcript.pyannote[3086].start 13149.53721875
transcript.pyannote[3086].end 13149.80721875
transcript.pyannote[3087].speaker SPEAKER_45
transcript.pyannote[3087].start 13155.20721875
transcript.pyannote[3087].end 13162.64909375
transcript.pyannote[3088].speaker SPEAKER_45
transcript.pyannote[3088].start 13163.08784375
transcript.pyannote[3088].end 13166.42909375
transcript.pyannote[3089].speaker SPEAKER_43
transcript.pyannote[3089].start 13167.17159375
transcript.pyannote[3089].end 13179.45659375
transcript.pyannote[3090].speaker SPEAKER_45
transcript.pyannote[3090].start 13179.94596875
transcript.pyannote[3090].end 13195.48784375
transcript.pyannote[3091].speaker SPEAKER_43
transcript.pyannote[3091].start 13196.17971875
transcript.pyannote[3091].end 13202.01846875
transcript.pyannote[3092].speaker SPEAKER_45
transcript.pyannote[3092].start 13201.68096875
transcript.pyannote[3092].end 13202.00159375
transcript.pyannote[3093].speaker SPEAKER_17
transcript.pyannote[3093].start 13202.01846875
transcript.pyannote[3093].end 13203.41909375
transcript.pyannote[3094].speaker SPEAKER_45
transcript.pyannote[3094].start 13203.77346875
transcript.pyannote[3094].end 13208.09346875
transcript.pyannote[3095].speaker SPEAKER_45
transcript.pyannote[3095].start 13208.46471875
transcript.pyannote[3095].end 13216.42971875
transcript.pyannote[3096].speaker SPEAKER_45
transcript.pyannote[3096].start 13216.59846875
transcript.pyannote[3096].end 13230.73971875
transcript.pyannote[3097].speaker SPEAKER_45
transcript.pyannote[3097].start 13231.34721875
transcript.pyannote[3097].end 13231.70159375
transcript.pyannote[3098].speaker SPEAKER_12
transcript.pyannote[3098].start 13231.70159375
transcript.pyannote[3098].end 13231.71846875
transcript.pyannote[3099].speaker SPEAKER_12
transcript.pyannote[3099].start 13233.45659375
transcript.pyannote[3099].end 13233.86159375
transcript.pyannote[3100].speaker SPEAKER_12
transcript.pyannote[3100].start 13234.26659375
transcript.pyannote[3100].end 13245.99471875
transcript.pyannote[3101].speaker SPEAKER_12
transcript.pyannote[3101].start 13246.75409375
transcript.pyannote[3101].end 13270.48034375
transcript.pyannote[3102].speaker SPEAKER_45
transcript.pyannote[3102].start 13270.76721875
transcript.pyannote[3102].end 13273.78784375
transcript.pyannote[3103].speaker SPEAKER_45
transcript.pyannote[3103].start 13273.90596875
transcript.pyannote[3103].end 13278.93471875
transcript.pyannote[3104].speaker SPEAKER_12
transcript.pyannote[3104].start 13273.97346875
transcript.pyannote[3104].end 13274.34471875
transcript.pyannote[3105].speaker SPEAKER_12
transcript.pyannote[3105].start 13276.11659375
transcript.pyannote[3105].end 13276.55534375
transcript.pyannote[3106].speaker SPEAKER_12
transcript.pyannote[3106].start 13278.93471875
transcript.pyannote[3106].end 13279.05284375
transcript.pyannote[3107].speaker SPEAKER_45
transcript.pyannote[3107].start 13279.05284375
transcript.pyannote[3107].end 13281.93846875
transcript.pyannote[3108].speaker SPEAKER_12
transcript.pyannote[3108].start 13281.82034375
transcript.pyannote[3108].end 13281.95534375
transcript.pyannote[3109].speaker SPEAKER_45
transcript.pyannote[3109].start 13281.95534375
transcript.pyannote[3109].end 13281.97221875
transcript.pyannote[3110].speaker SPEAKER_12
transcript.pyannote[3110].start 13281.97221875
transcript.pyannote[3110].end 13286.52846875
transcript.pyannote[3111].speaker SPEAKER_12
transcript.pyannote[3111].start 13286.83221875
transcript.pyannote[3111].end 13289.70096875
transcript.pyannote[3112].speaker SPEAKER_12
transcript.pyannote[3112].start 13289.95409375
transcript.pyannote[3112].end 13291.27034375
transcript.pyannote[3113].speaker SPEAKER_12
transcript.pyannote[3113].start 13291.79346875
transcript.pyannote[3113].end 13296.13034375
transcript.pyannote[3114].speaker SPEAKER_45
transcript.pyannote[3114].start 13295.59034375
transcript.pyannote[3114].end 13298.71221875
transcript.pyannote[3115].speaker SPEAKER_12
transcript.pyannote[3115].start 13297.51409375
transcript.pyannote[3115].end 13298.00346875
transcript.pyannote[3116].speaker SPEAKER_12
transcript.pyannote[3116].start 13298.42534375
transcript.pyannote[3116].end 13309.68096875
transcript.pyannote[3117].speaker SPEAKER_45
transcript.pyannote[3117].start 13299.30284375
transcript.pyannote[3117].end 13299.45471875
transcript.pyannote[3118].speaker SPEAKER_12
transcript.pyannote[3118].start 13310.00159375
transcript.pyannote[3118].end 13311.16596875
transcript.pyannote[3119].speaker SPEAKER_45
transcript.pyannote[3119].start 13311.18284375
transcript.pyannote[3119].end 13316.32971875
transcript.pyannote[3120].speaker SPEAKER_45
transcript.pyannote[3120].start 13316.66721875
transcript.pyannote[3120].end 13334.53784375
transcript.pyannote[3121].speaker SPEAKER_36
transcript.pyannote[3121].start 13334.45346875
transcript.pyannote[3121].end 13334.80784375
transcript.pyannote[3122].speaker SPEAKER_36
transcript.pyannote[3122].start 13334.90909375
transcript.pyannote[3122].end 13341.43971875
transcript.pyannote[3123].speaker SPEAKER_36
transcript.pyannote[3123].start 13341.89534375
transcript.pyannote[3123].end 13343.59971875
transcript.pyannote[3124].speaker SPEAKER_14
transcript.pyannote[3124].start 13343.70096875
transcript.pyannote[3124].end 13382.59784375
transcript.pyannote[3125].speaker SPEAKER_14
transcript.pyannote[3125].start 13383.00284375
transcript.pyannote[3125].end 13383.01971875
transcript.pyannote[3126].speaker SPEAKER_45
transcript.pyannote[3126].start 13383.01971875
transcript.pyannote[3126].end 13392.36846875
transcript.pyannote[3127].speaker SPEAKER_39
transcript.pyannote[3127].start 13392.36846875
transcript.pyannote[3127].end 13392.92534375
transcript.pyannote[3128].speaker SPEAKER_45
transcript.pyannote[3128].start 13392.70596875
transcript.pyannote[3128].end 13397.70096875
transcript.pyannote[3129].speaker SPEAKER_45
transcript.pyannote[3129].start 13398.20721875
transcript.pyannote[3129].end 13399.99596875
transcript.pyannote[3130].speaker SPEAKER_45
transcript.pyannote[3130].start 13400.28284375
transcript.pyannote[3130].end 13400.75534375
transcript.pyannote[3131].speaker SPEAKER_14
transcript.pyannote[3131].start 13400.46846875
transcript.pyannote[3131].end 13401.48096875
transcript.pyannote[3132].speaker SPEAKER_45
transcript.pyannote[3132].start 13401.48096875
transcript.pyannote[3132].end 13402.07159375
transcript.pyannote[3133].speaker SPEAKER_11
transcript.pyannote[3133].start 13407.65721875
transcript.pyannote[3133].end 13410.54284375
transcript.pyannote[3134].speaker SPEAKER_15
transcript.pyannote[3134].start 13418.17034375
transcript.pyannote[3134].end 13419.97596875
transcript.pyannote[3135].speaker SPEAKER_15
transcript.pyannote[3135].start 13420.43159375
transcript.pyannote[3135].end 13421.24159375
transcript.pyannote[3136].speaker SPEAKER_15
transcript.pyannote[3136].start 13421.61284375
transcript.pyannote[3136].end 13422.45659375
transcript.pyannote[3137].speaker SPEAKER_15
transcript.pyannote[3137].start 13423.36784375
transcript.pyannote[3137].end 13423.85721875
transcript.pyannote[3138].speaker SPEAKER_15
transcript.pyannote[3138].start 13425.61221875
transcript.pyannote[3138].end 13426.33784375
transcript.pyannote[3139].speaker SPEAKER_15
transcript.pyannote[3139].start 13426.57409375
transcript.pyannote[3139].end 13428.29534375
transcript.pyannote[3140].speaker SPEAKER_15
transcript.pyannote[3140].start 13429.13909375
transcript.pyannote[3140].end 13442.18346875
transcript.pyannote[3141].speaker SPEAKER_00
transcript.pyannote[3141].start 13436.22659375
transcript.pyannote[3141].end 13436.27721875
transcript.pyannote[3142].speaker SPEAKER_36
transcript.pyannote[3142].start 13436.27721875
transcript.pyannote[3142].end 13436.37846875
transcript.pyannote[3143].speaker SPEAKER_36
transcript.pyannote[3143].start 13436.56409375
transcript.pyannote[3143].end 13436.64846875
transcript.pyannote[3144].speaker SPEAKER_15
transcript.pyannote[3144].start 13443.22971875
transcript.pyannote[3144].end 13443.60096875
transcript.pyannote[3145].speaker SPEAKER_36
transcript.pyannote[3145].start 13444.47846875
transcript.pyannote[3145].end 13447.02659375
transcript.pyannote[3146].speaker SPEAKER_15
transcript.pyannote[3146].start 13447.31346875
transcript.pyannote[3146].end 13450.65471875
transcript.pyannote[3147].speaker SPEAKER_15
transcript.pyannote[3147].start 13451.80221875
transcript.pyannote[3147].end 13452.67971875
transcript.pyannote[3148].speaker SPEAKER_15
transcript.pyannote[3148].start 13452.78096875
transcript.pyannote[3148].end 13454.56971875
transcript.pyannote[3149].speaker SPEAKER_36
transcript.pyannote[3149].start 13453.99596875
transcript.pyannote[3149].end 13458.41721875
transcript.pyannote[3150].speaker SPEAKER_36
transcript.pyannote[3150].start 13458.60284375
transcript.pyannote[3150].end 13460.98221875
transcript.pyannote[3151].speaker SPEAKER_15
transcript.pyannote[3151].start 13460.45909375
transcript.pyannote[3151].end 13462.33221875
transcript.pyannote[3152].speaker SPEAKER_36
transcript.pyannote[3152].start 13463.00721875
transcript.pyannote[3152].end 13463.02409375
transcript.pyannote[3153].speaker SPEAKER_15
transcript.pyannote[3153].start 13463.02409375
transcript.pyannote[3153].end 13463.66534375
transcript.pyannote[3154].speaker SPEAKER_36
transcript.pyannote[3154].start 13463.07471875
transcript.pyannote[3154].end 13465.90971875
transcript.pyannote[3155].speaker SPEAKER_15
transcript.pyannote[3155].start 13465.90971875
transcript.pyannote[3155].end 13467.05721875
transcript.pyannote[3156].speaker SPEAKER_36
transcript.pyannote[3156].start 13466.95596875
transcript.pyannote[3156].end 13467.41159375
transcript.pyannote[3157].speaker SPEAKER_15
transcript.pyannote[3157].start 13467.56346875
transcript.pyannote[3157].end 13470.24659375
transcript.pyannote[3158].speaker SPEAKER_15
transcript.pyannote[3158].start 13471.59659375
transcript.pyannote[3158].end 13474.34721875
transcript.pyannote[3159].speaker SPEAKER_15
transcript.pyannote[3159].start 13474.49909375
transcript.pyannote[3159].end 13477.63784375
transcript.pyannote[3160].speaker SPEAKER_15
transcript.pyannote[3160].start 13478.71784375
transcript.pyannote[3160].end 13486.54784375
transcript.pyannote[3161].speaker SPEAKER_39
transcript.pyannote[3161].start 13486.59846875
transcript.pyannote[3161].end 13486.88534375
transcript.pyannote[3162].speaker SPEAKER_15
transcript.pyannote[3162].start 13486.88534375
transcript.pyannote[3162].end 13486.90221875
transcript.pyannote[3163].speaker SPEAKER_15
transcript.pyannote[3163].start 13486.91909375
transcript.pyannote[3163].end 13492.55534375
transcript.pyannote[3164].speaker SPEAKER_15
transcript.pyannote[3164].start 13492.79159375
transcript.pyannote[3164].end 13508.14784375
transcript.pyannote[3165].speaker SPEAKER_17
transcript.pyannote[3165].start 13508.14784375
transcript.pyannote[3165].end 13508.16471875
transcript.pyannote[3166].speaker SPEAKER_17
transcript.pyannote[3166].start 13508.75534375
transcript.pyannote[3166].end 13516.85534375
transcript.pyannote[3167].speaker SPEAKER_15
transcript.pyannote[3167].start 13516.85534375
transcript.pyannote[3167].end 13561.67534375
transcript.pyannote[3168].speaker SPEAKER_17
transcript.pyannote[3168].start 13533.62909375
transcript.pyannote[3168].end 13533.94971875
transcript.pyannote[3169].speaker SPEAKER_17
transcript.pyannote[3169].start 13535.65409375
transcript.pyannote[3169].end 13535.83971875
transcript.pyannote[3170].speaker SPEAKER_17
transcript.pyannote[3170].start 13536.00846875
transcript.pyannote[3170].end 13536.24471875
transcript.pyannote[3171].speaker SPEAKER_17
transcript.pyannote[3171].start 13537.34159375
transcript.pyannote[3171].end 13537.89846875
transcript.pyannote[3172].speaker SPEAKER_00
transcript.pyannote[3172].start 13551.98909375
transcript.pyannote[3172].end 13552.68096875
transcript.pyannote[3173].speaker SPEAKER_00
transcript.pyannote[3173].start 13553.71034375
transcript.pyannote[3173].end 13554.04784375
transcript.pyannote[3174].speaker SPEAKER_39
transcript.pyannote[3174].start 13554.04784375
transcript.pyannote[3174].end 13554.31784375
transcript.pyannote[3175].speaker SPEAKER_15
transcript.pyannote[3175].start 13562.06346875
transcript.pyannote[3175].end 13568.13846875
transcript.pyannote[3176].speaker SPEAKER_39
transcript.pyannote[3176].start 13566.67034375
transcript.pyannote[3176].end 13567.09221875
transcript.pyannote[3177].speaker SPEAKER_39
transcript.pyannote[3177].start 13567.80096875
transcript.pyannote[3177].end 13568.62784375
transcript.pyannote[3178].speaker SPEAKER_15
transcript.pyannote[3178].start 13568.32409375
transcript.pyannote[3178].end 13581.03096875
transcript.pyannote[3179].speaker SPEAKER_15
transcript.pyannote[3179].start 13581.38534375
transcript.pyannote[3179].end 13592.15159375
transcript.pyannote[3180].speaker SPEAKER_36
transcript.pyannote[3180].start 13592.77596875
transcript.pyannote[3180].end 13593.53534375
transcript.pyannote[3181].speaker SPEAKER_15
transcript.pyannote[3181].start 13594.09221875
transcript.pyannote[3181].end 13609.90409375
transcript.pyannote[3182].speaker SPEAKER_15
transcript.pyannote[3182].start 13610.51159375
transcript.pyannote[3182].end 13611.60846875
transcript.pyannote[3183].speaker SPEAKER_36
transcript.pyannote[3183].start 13612.26659375
transcript.pyannote[3183].end 13615.89471875
transcript.pyannote[3184].speaker SPEAKER_15
transcript.pyannote[3184].start 13615.89471875
transcript.pyannote[3184].end 13628.28096875
transcript.pyannote[3185].speaker SPEAKER_36
transcript.pyannote[3185].start 13617.97034375
transcript.pyannote[3185].end 13619.20221875
transcript.pyannote[3186].speaker SPEAKER_36
transcript.pyannote[3186].start 13619.80971875
transcript.pyannote[3186].end 13621.83471875
transcript.pyannote[3187].speaker SPEAKER_36
transcript.pyannote[3187].start 13628.39909375
transcript.pyannote[3187].end 13631.50409375
transcript.pyannote[3188].speaker SPEAKER_15
transcript.pyannote[3188].start 13631.50409375
transcript.pyannote[3188].end 13633.19159375
transcript.pyannote[3189].speaker SPEAKER_00
transcript.pyannote[3189].start 13633.69784375
transcript.pyannote[3189].end 13640.66721875
transcript.pyannote[3190].speaker SPEAKER_15
transcript.pyannote[3190].start 13637.71409375
transcript.pyannote[3190].end 13638.33846875
transcript.pyannote[3191].speaker SPEAKER_15
transcript.pyannote[3191].start 13639.40159375
transcript.pyannote[3191].end 13640.88659375
transcript.pyannote[3192].speaker SPEAKER_00
transcript.pyannote[3192].start 13641.67971875
transcript.pyannote[3192].end 13648.44659375
transcript.pyannote[3193].speaker SPEAKER_15
transcript.pyannote[3193].start 13648.59846875
transcript.pyannote[3193].end 13649.54346875
transcript.pyannote[3194].speaker SPEAKER_00
transcript.pyannote[3194].start 13649.72909375
transcript.pyannote[3194].end 13653.12096875
transcript.pyannote[3195].speaker SPEAKER_00
transcript.pyannote[3195].start 13653.49221875
transcript.pyannote[3195].end 13657.13721875
transcript.pyannote[3196].speaker SPEAKER_15
transcript.pyannote[3196].start 13657.17096875
transcript.pyannote[3196].end 13678.26471875
transcript.pyannote[3197].speaker SPEAKER_11
transcript.pyannote[3197].start 13686.76971875
transcript.pyannote[3197].end 13687.66409375
transcript.pyannote[3198].speaker SPEAKER_11
transcript.pyannote[3198].start 13688.06909375
transcript.pyannote[3198].end 13689.26721875
transcript.pyannote[3199].speaker SPEAKER_06
transcript.pyannote[3199].start 13695.64596875
transcript.pyannote[3199].end 13700.60721875
transcript.pyannote[3200].speaker SPEAKER_11
transcript.pyannote[3200].start 13699.96596875
transcript.pyannote[3200].end 13700.03346875
transcript.pyannote[3201].speaker SPEAKER_33
transcript.pyannote[3201].start 13700.03346875
transcript.pyannote[3201].end 13700.15159375
transcript.pyannote[3202].speaker SPEAKER_11
transcript.pyannote[3202].start 13700.15159375
transcript.pyannote[3202].end 13700.32034375
transcript.pyannote[3203].speaker SPEAKER_33
transcript.pyannote[3203].start 13707.45846875
transcript.pyannote[3203].end 13708.06596875
transcript.pyannote[3204].speaker SPEAKER_06
transcript.pyannote[3204].start 13708.06596875
transcript.pyannote[3204].end 13758.16784375
transcript.pyannote[3205].speaker SPEAKER_36
transcript.pyannote[3205].start 13759.21409375
transcript.pyannote[3205].end 13765.99784375
transcript.pyannote[3206].speaker SPEAKER_06
transcript.pyannote[3206].start 13765.60971875
transcript.pyannote[3206].end 13769.57534375
transcript.pyannote[3207].speaker SPEAKER_36
transcript.pyannote[3207].start 13769.05221875
transcript.pyannote[3207].end 13776.35909375
transcript.pyannote[3208].speaker SPEAKER_06
transcript.pyannote[3208].start 13772.96721875
transcript.pyannote[3208].end 13780.99971875
transcript.pyannote[3209].speaker SPEAKER_36
transcript.pyannote[3209].start 13781.45534375
transcript.pyannote[3209].end 13784.76284375
transcript.pyannote[3210].speaker SPEAKER_06
transcript.pyannote[3210].start 13782.78846875
transcript.pyannote[3210].end 13787.91846875
transcript.pyannote[3211].speaker SPEAKER_06
transcript.pyannote[3211].start 13788.17159375
transcript.pyannote[3211].end 13799.15721875
transcript.pyannote[3212].speaker SPEAKER_36
transcript.pyannote[3212].start 13799.78159375
transcript.pyannote[3212].end 13800.30471875
transcript.pyannote[3213].speaker SPEAKER_36
transcript.pyannote[3213].start 13800.84471875
transcript.pyannote[3213].end 13804.27034375
transcript.pyannote[3214].speaker SPEAKER_06
transcript.pyannote[3214].start 13804.77659375
transcript.pyannote[3214].end 13806.24471875
transcript.pyannote[3215].speaker SPEAKER_06
transcript.pyannote[3215].start 13807.42596875
transcript.pyannote[3215].end 13816.18409375
transcript.pyannote[3216].speaker SPEAKER_36
transcript.pyannote[3216].start 13811.98221875
transcript.pyannote[3216].end 13812.13409375
transcript.pyannote[3217].speaker SPEAKER_36
transcript.pyannote[3217].start 13813.43346875
transcript.pyannote[3217].end 13814.20971875
transcript.pyannote[3218].speaker SPEAKER_36
transcript.pyannote[3218].start 13815.27284375
transcript.pyannote[3218].end 13816.94346875
transcript.pyannote[3219].speaker SPEAKER_06
transcript.pyannote[3219].start 13816.85909375
transcript.pyannote[3219].end 13838.35784375
transcript.pyannote[3220].speaker SPEAKER_39
transcript.pyannote[3220].start 13825.02659375
transcript.pyannote[3220].end 13825.36409375
transcript.pyannote[3221].speaker SPEAKER_00
transcript.pyannote[3221].start 13826.64659375
transcript.pyannote[3221].end 13826.74784375
transcript.pyannote[3222].speaker SPEAKER_00
transcript.pyannote[3222].start 13827.16971875
transcript.pyannote[3222].end 13827.50721875
transcript.pyannote[3223].speaker SPEAKER_00
transcript.pyannote[3223].start 13828.82346875
transcript.pyannote[3223].end 13828.85721875
transcript.pyannote[3224].speaker SPEAKER_39
transcript.pyannote[3224].start 13828.85721875
transcript.pyannote[3224].end 13829.92034375
transcript.pyannote[3225].speaker SPEAKER_00
transcript.pyannote[3225].start 13829.92034375
transcript.pyannote[3225].end 13829.95409375
transcript.pyannote[3226].speaker SPEAKER_39
transcript.pyannote[3226].start 13831.89471875
transcript.pyannote[3226].end 13831.91159375
transcript.pyannote[3227].speaker SPEAKER_36
transcript.pyannote[3227].start 13831.91159375
transcript.pyannote[3227].end 13832.28284375
transcript.pyannote[3228].speaker SPEAKER_36
transcript.pyannote[3228].start 13838.42534375
transcript.pyannote[3228].end 13839.79221875
transcript.pyannote[3229].speaker SPEAKER_06
transcript.pyannote[3229].start 13839.62346875
transcript.pyannote[3229].end 13840.95659375
transcript.pyannote[3230].speaker SPEAKER_06
transcript.pyannote[3230].start 13841.29409375
transcript.pyannote[3230].end 13842.84659375
transcript.pyannote[3231].speaker SPEAKER_33
transcript.pyannote[3231].start 13841.83409375
transcript.pyannote[3231].end 13842.74534375
transcript.pyannote[3232].speaker SPEAKER_33
transcript.pyannote[3232].start 13843.04909375
transcript.pyannote[3232].end 13843.25159375
transcript.pyannote[3233].speaker SPEAKER_06
transcript.pyannote[3233].start 13843.31909375
transcript.pyannote[3233].end 13846.71096875
transcript.pyannote[3234].speaker SPEAKER_06
transcript.pyannote[3234].start 13847.52096875
transcript.pyannote[3234].end 13858.57409375
transcript.pyannote[3235].speaker SPEAKER_36
transcript.pyannote[3235].start 13857.57846875
transcript.pyannote[3235].end 13858.40534375
transcript.pyannote[3236].speaker SPEAKER_36
transcript.pyannote[3236].start 13858.57409375
transcript.pyannote[3236].end 13858.70909375
transcript.pyannote[3237].speaker SPEAKER_06
transcript.pyannote[3237].start 13858.70909375
transcript.pyannote[3237].end 13858.72596875
transcript.pyannote[3238].speaker SPEAKER_36
transcript.pyannote[3238].start 13858.72596875
transcript.pyannote[3238].end 13870.25159375
transcript.pyannote[3239].speaker SPEAKER_06
transcript.pyannote[3239].start 13862.15159375
transcript.pyannote[3239].end 13862.45534375
transcript.pyannote[3240].speaker SPEAKER_36
transcript.pyannote[3240].start 13870.75784375
transcript.pyannote[3240].end 13877.50784375
transcript.pyannote[3241].speaker SPEAKER_06
transcript.pyannote[3241].start 13877.69346875
transcript.pyannote[3241].end 13898.60159375
transcript.pyannote[3242].speaker SPEAKER_00
transcript.pyannote[3242].start 13891.02471875
transcript.pyannote[3242].end 13891.85159375
transcript.pyannote[3243].speaker SPEAKER_06
transcript.pyannote[3243].start 13898.78721875
transcript.pyannote[3243].end 13937.26221875
transcript.pyannote[3244].speaker SPEAKER_36
transcript.pyannote[3244].start 13937.49846875
transcript.pyannote[3244].end 13950.37409375
transcript.pyannote[3245].speaker SPEAKER_36
transcript.pyannote[3245].start 13950.89721875
transcript.pyannote[3245].end 13951.45409375
transcript.pyannote[3246].speaker SPEAKER_36
transcript.pyannote[3246].start 13951.72409375
transcript.pyannote[3246].end 13954.23846875
transcript.pyannote[3247].speaker SPEAKER_36
transcript.pyannote[3247].start 13954.39034375
transcript.pyannote[3247].end 13955.48721875
transcript.pyannote[3248].speaker SPEAKER_06
transcript.pyannote[3248].start 13954.42409375
transcript.pyannote[3248].end 13958.92971875
transcript.pyannote[3249].speaker SPEAKER_36
transcript.pyannote[3249].start 13956.90471875
transcript.pyannote[3249].end 13958.27159375
transcript.pyannote[3250].speaker SPEAKER_36
transcript.pyannote[3250].start 13958.59221875
transcript.pyannote[3250].end 13960.07721875
transcript.pyannote[3251].speaker SPEAKER_06
transcript.pyannote[3251].start 13960.22909375
transcript.pyannote[3251].end 13961.42721875
transcript.pyannote[3252].speaker SPEAKER_06
transcript.pyannote[3252].start 13961.62971875
transcript.pyannote[3252].end 13986.31784375
transcript.pyannote[3253].speaker SPEAKER_01
transcript.pyannote[3253].start 13980.52971875
transcript.pyannote[3253].end 13980.81659375
transcript.pyannote[3254].speaker SPEAKER_06
transcript.pyannote[3254].start 13986.84096875
transcript.pyannote[3254].end 13998.56909375
transcript.pyannote[3255].speaker SPEAKER_06
transcript.pyannote[3255].start 13999.09221875
transcript.pyannote[3255].end 14005.18409375
transcript.pyannote[3256].speaker SPEAKER_36
transcript.pyannote[3256].start 14005.79159375
transcript.pyannote[3256].end 14007.12471875
transcript.pyannote[3257].speaker SPEAKER_36
transcript.pyannote[3257].start 14007.37784375
transcript.pyannote[3257].end 14012.64284375
transcript.pyannote[3258].speaker SPEAKER_36
transcript.pyannote[3258].start 14012.98034375
transcript.pyannote[3258].end 14013.50346875
transcript.pyannote[3259].speaker SPEAKER_06
transcript.pyannote[3259].start 14013.06471875
transcript.pyannote[3259].end 14021.78909375
transcript.pyannote[3260].speaker SPEAKER_36
transcript.pyannote[3260].start 14021.21534375
transcript.pyannote[3260].end 14025.34971875
transcript.pyannote[3261].speaker SPEAKER_36
transcript.pyannote[3261].start 14025.90659375
transcript.pyannote[3261].end 14027.67846875
transcript.pyannote[3262].speaker SPEAKER_36
transcript.pyannote[3262].start 14027.94846875
transcript.pyannote[3262].end 14031.30659375
transcript.pyannote[3263].speaker SPEAKER_06
transcript.pyannote[3263].start 14029.93971875
transcript.pyannote[3263].end 14031.34034375
transcript.pyannote[3264].speaker SPEAKER_06
transcript.pyannote[3264].start 14031.69471875
transcript.pyannote[3264].end 14033.06159375
transcript.pyannote[3265].speaker SPEAKER_36
transcript.pyannote[3265].start 14033.16284375
transcript.pyannote[3265].end 14034.59721875
transcript.pyannote[3266].speaker SPEAKER_36
transcript.pyannote[3266].start 14035.20471875
transcript.pyannote[3266].end 14036.55471875
transcript.pyannote[3267].speaker SPEAKER_36
transcript.pyannote[3267].start 14036.68971875
transcript.pyannote[3267].end 14039.13659375
transcript.pyannote[3268].speaker SPEAKER_06
transcript.pyannote[3268].start 14036.79096875
transcript.pyannote[3268].end 14049.59909375
transcript.pyannote[3269].speaker SPEAKER_36
transcript.pyannote[3269].start 14039.18721875
transcript.pyannote[3269].end 14039.22096875
transcript.pyannote[3270].speaker SPEAKER_36
transcript.pyannote[3270].start 14039.91284375
transcript.pyannote[3270].end 14039.92971875
transcript.pyannote[3271].speaker SPEAKER_36
transcript.pyannote[3271].start 14045.48159375
transcript.pyannote[3271].end 14045.65034375
transcript.pyannote[3272].speaker SPEAKER_36
transcript.pyannote[3272].start 14049.00846875
transcript.pyannote[3272].end 14050.35846875
transcript.pyannote[3273].speaker SPEAKER_06
transcript.pyannote[3273].start 14050.22346875
transcript.pyannote[3273].end 14059.75784375
transcript.pyannote[3274].speaker SPEAKER_36
transcript.pyannote[3274].start 14052.70409375
transcript.pyannote[3274].end 14053.59846875
transcript.pyannote[3275].speaker SPEAKER_39
transcript.pyannote[3275].start 14053.59846875
transcript.pyannote[3275].end 14053.61534375
transcript.pyannote[3276].speaker SPEAKER_36
transcript.pyannote[3276].start 14053.61534375
transcript.pyannote[3276].end 14053.63221875
transcript.pyannote[3277].speaker SPEAKER_39
transcript.pyannote[3277].start 14053.63221875
transcript.pyannote[3277].end 14053.98659375
transcript.pyannote[3278].speaker SPEAKER_36
transcript.pyannote[3278].start 14053.98659375
transcript.pyannote[3278].end 14054.69534375
transcript.pyannote[3279].speaker SPEAKER_39
transcript.pyannote[3279].start 14054.69534375
transcript.pyannote[3279].end 14054.77971875
transcript.pyannote[3280].speaker SPEAKER_36
transcript.pyannote[3280].start 14055.52221875
transcript.pyannote[3280].end 14055.91034375
transcript.pyannote[3281].speaker SPEAKER_39
transcript.pyannote[3281].start 14056.88909375
transcript.pyannote[3281].end 14057.31096875
transcript.pyannote[3282].speaker SPEAKER_36
transcript.pyannote[3282].start 14057.31096875
transcript.pyannote[3282].end 14057.39534375
transcript.pyannote[3283].speaker SPEAKER_36
transcript.pyannote[3283].start 14057.81721875
transcript.pyannote[3283].end 14057.88471875
transcript.pyannote[3284].speaker SPEAKER_39
transcript.pyannote[3284].start 14057.88471875
transcript.pyannote[3284].end 14057.95221875
transcript.pyannote[3285].speaker SPEAKER_36
transcript.pyannote[3285].start 14057.95221875
transcript.pyannote[3285].end 14058.96471875
transcript.pyannote[3286].speaker SPEAKER_39
transcript.pyannote[3286].start 14058.96471875
transcript.pyannote[3286].end 14059.16721875
transcript.pyannote[3287].speaker SPEAKER_33
transcript.pyannote[3287].start 14059.16721875
transcript.pyannote[3287].end 14059.20096875
transcript.pyannote[3288].speaker SPEAKER_36
transcript.pyannote[3288].start 14059.20096875
transcript.pyannote[3288].end 14059.23471875
transcript.pyannote[3289].speaker SPEAKER_11
transcript.pyannote[3289].start 14065.76534375
transcript.pyannote[3289].end 14068.54971875
transcript.pyannote[3290].speaker SPEAKER_28
transcript.pyannote[3290].start 14080.07534375
transcript.pyannote[3290].end 14081.83034375
transcript.pyannote[3291].speaker SPEAKER_11
transcript.pyannote[3291].start 14081.96534375
transcript.pyannote[3291].end 14082.80909375
transcript.pyannote[3292].speaker SPEAKER_28
transcript.pyannote[3292].start 14089.49159375
transcript.pyannote[3292].end 14089.50846875
transcript.pyannote[3293].speaker SPEAKER_33
transcript.pyannote[3293].start 14089.50846875
transcript.pyannote[3293].end 14090.08221875
transcript.pyannote[3294].speaker SPEAKER_28
transcript.pyannote[3294].start 14090.08221875
transcript.pyannote[3294].end 14104.30784375
transcript.pyannote[3295].speaker SPEAKER_28
transcript.pyannote[3295].start 14104.49346875
transcript.pyannote[3295].end 14118.39846875
transcript.pyannote[3296].speaker SPEAKER_39
transcript.pyannote[3296].start 14117.63909375
transcript.pyannote[3296].end 14118.65159375
transcript.pyannote[3297].speaker SPEAKER_28
transcript.pyannote[3297].start 14118.48284375
transcript.pyannote[3297].end 14122.51596875
transcript.pyannote[3298].speaker SPEAKER_28
transcript.pyannote[3298].start 14122.78596875
transcript.pyannote[3298].end 14125.11471875
transcript.pyannote[3299].speaker SPEAKER_14
transcript.pyannote[3299].start 14125.87409375
transcript.pyannote[3299].end 14126.02596875
transcript.pyannote[3300].speaker SPEAKER_14
transcript.pyannote[3300].start 14126.39721875
transcript.pyannote[3300].end 14146.95096875
transcript.pyannote[3301].speaker SPEAKER_28
transcript.pyannote[3301].start 14147.05221875
transcript.pyannote[3301].end 14184.91971875
transcript.pyannote[3302].speaker SPEAKER_28
transcript.pyannote[3302].start 14185.29096875
transcript.pyannote[3302].end 14217.25221875
transcript.pyannote[3303].speaker SPEAKER_28
transcript.pyannote[3303].start 14217.69096875
transcript.pyannote[3303].end 14218.72034375
transcript.pyannote[3304].speaker SPEAKER_28
transcript.pyannote[3304].start 14219.02409375
transcript.pyannote[3304].end 14228.52471875
transcript.pyannote[3305].speaker SPEAKER_36
transcript.pyannote[3305].start 14229.63846875
transcript.pyannote[3305].end 14252.04846875
transcript.pyannote[3306].speaker SPEAKER_36
transcript.pyannote[3306].start 14252.47034375
transcript.pyannote[3306].end 14254.32659375
transcript.pyannote[3307].speaker SPEAKER_36
transcript.pyannote[3307].start 14254.81596875
transcript.pyannote[3307].end 14257.39784375
transcript.pyannote[3308].speaker SPEAKER_36
transcript.pyannote[3308].start 14257.78596875
transcript.pyannote[3308].end 14263.54034375
transcript.pyannote[3309].speaker SPEAKER_28
transcript.pyannote[3309].start 14261.63346875
transcript.pyannote[3309].end 14262.25784375
transcript.pyannote[3310].speaker SPEAKER_28
transcript.pyannote[3310].start 14262.30846875
transcript.pyannote[3310].end 14272.39971875
transcript.pyannote[3311].speaker SPEAKER_36
transcript.pyannote[3311].start 14268.24846875
transcript.pyannote[3311].end 14268.77159375
transcript.pyannote[3312].speaker SPEAKER_28
transcript.pyannote[3312].start 14272.58534375
transcript.pyannote[3312].end 14283.53721875
transcript.pyannote[3313].speaker SPEAKER_28
transcript.pyannote[3313].start 14283.60471875
transcript.pyannote[3313].end 14300.93534375
transcript.pyannote[3314].speaker SPEAKER_28
transcript.pyannote[3314].start 14301.18846875
transcript.pyannote[3314].end 14312.46096875
transcript.pyannote[3315].speaker SPEAKER_28
transcript.pyannote[3315].start 14312.98409375
transcript.pyannote[3315].end 14318.40096875
transcript.pyannote[3316].speaker SPEAKER_28
transcript.pyannote[3316].start 14319.02534375
transcript.pyannote[3316].end 14329.03221875
transcript.pyannote[3317].speaker SPEAKER_28
transcript.pyannote[3317].start 14329.43721875
transcript.pyannote[3317].end 14330.85471875
transcript.pyannote[3318].speaker SPEAKER_28
transcript.pyannote[3318].start 14330.95596875
transcript.pyannote[3318].end 14359.18784375
transcript.pyannote[3319].speaker SPEAKER_17
transcript.pyannote[3319].start 14358.41159375
transcript.pyannote[3319].end 14380.34909375
transcript.pyannote[3320].speaker SPEAKER_09
transcript.pyannote[3320].start 14375.75909375
transcript.pyannote[3320].end 14375.79284375
transcript.pyannote[3321].speaker SPEAKER_28
transcript.pyannote[3321].start 14375.79284375
transcript.pyannote[3321].end 14375.86034375
transcript.pyannote[3322].speaker SPEAKER_09
transcript.pyannote[3322].start 14375.86034375
transcript.pyannote[3322].end 14376.65346875
transcript.pyannote[3323].speaker SPEAKER_28
transcript.pyannote[3323].start 14376.65346875
transcript.pyannote[3323].end 14378.13846875
transcript.pyannote[3324].speaker SPEAKER_28
transcript.pyannote[3324].start 14380.34909375
transcript.pyannote[3324].end 14410.97721875
transcript.pyannote[3325].speaker SPEAKER_41
transcript.pyannote[3325].start 14387.58846875
transcript.pyannote[3325].end 14387.77409375
transcript.pyannote[3326].speaker SPEAKER_41
transcript.pyannote[3326].start 14389.14096875
transcript.pyannote[3326].end 14389.57971875
transcript.pyannote[3327].speaker SPEAKER_41
transcript.pyannote[3327].start 14391.43596875
transcript.pyannote[3327].end 14392.90409375
transcript.pyannote[3328].speaker SPEAKER_41
transcript.pyannote[3328].start 14394.40596875
transcript.pyannote[3328].end 14395.18221875
transcript.pyannote[3329].speaker SPEAKER_28
transcript.pyannote[3329].start 14411.16284375
transcript.pyannote[3329].end 14444.01846875
transcript.pyannote[3330].speaker SPEAKER_28
transcript.pyannote[3330].start 14445.28409375
transcript.pyannote[3330].end 14446.71846875
transcript.pyannote[3331].speaker SPEAKER_15
transcript.pyannote[3331].start 14447.15721875
transcript.pyannote[3331].end 14447.19096875
transcript.pyannote[3332].speaker SPEAKER_28
transcript.pyannote[3332].start 14447.71409375
transcript.pyannote[3332].end 14452.30409375
transcript.pyannote[3333].speaker SPEAKER_28
transcript.pyannote[3333].start 14453.11409375
transcript.pyannote[3333].end 14463.71159375
transcript.pyannote[3334].speaker SPEAKER_17
transcript.pyannote[3334].start 14463.71159375
transcript.pyannote[3334].end 14463.77909375
transcript.pyannote[3335].speaker SPEAKER_28
transcript.pyannote[3335].start 14463.77909375
transcript.pyannote[3335].end 14465.04471875
transcript.pyannote[3336].speaker SPEAKER_17
transcript.pyannote[3336].start 14463.81284375
transcript.pyannote[3336].end 14464.62284375
transcript.pyannote[3337].speaker SPEAKER_17
transcript.pyannote[3337].start 14465.04471875
transcript.pyannote[3337].end 14475.79409375
transcript.pyannote[3338].speaker SPEAKER_28
transcript.pyannote[3338].start 14473.88721875
transcript.pyannote[3338].end 14474.41034375
transcript.pyannote[3339].speaker SPEAKER_28
transcript.pyannote[3339].start 14474.88284375
transcript.pyannote[3339].end 14509.47659375
transcript.pyannote[3340].speaker SPEAKER_17
transcript.pyannote[3340].start 14478.03846875
transcript.pyannote[3340].end 14478.44346875
transcript.pyannote[3341].speaker SPEAKER_00
transcript.pyannote[3341].start 14486.30721875
transcript.pyannote[3341].end 14486.34096875
transcript.pyannote[3342].speaker SPEAKER_17
transcript.pyannote[3342].start 14486.34096875
transcript.pyannote[3342].end 14486.99909375
transcript.pyannote[3343].speaker SPEAKER_17
transcript.pyannote[3343].start 14492.17971875
transcript.pyannote[3343].end 14493.63096875
transcript.pyannote[3344].speaker SPEAKER_28
transcript.pyannote[3344].start 14510.01659375
transcript.pyannote[3344].end 14521.82909375
transcript.pyannote[3345].speaker SPEAKER_28
transcript.pyannote[3345].start 14522.43659375
transcript.pyannote[3345].end 14541.31971875
transcript.pyannote[3346].speaker SPEAKER_33
transcript.pyannote[3346].start 14543.37846875
transcript.pyannote[3346].end 14544.34034375
transcript.pyannote[3347].speaker SPEAKER_28
transcript.pyannote[3347].start 14544.50909375
transcript.pyannote[3347].end 14547.02346875
transcript.pyannote[3348].speaker SPEAKER_28
transcript.pyannote[3348].start 14547.29346875
transcript.pyannote[3348].end 14548.93034375
transcript.pyannote[3349].speaker SPEAKER_28
transcript.pyannote[3349].start 14550.38159375
transcript.pyannote[3349].end 14551.03971875
transcript.pyannote[3350].speaker SPEAKER_28
transcript.pyannote[3350].start 14551.46159375
transcript.pyannote[3350].end 14552.06909375
transcript.pyannote[3351].speaker SPEAKER_28
transcript.pyannote[3351].start 14553.03096875
transcript.pyannote[3351].end 14554.53284375
transcript.pyannote[3352].speaker SPEAKER_28
transcript.pyannote[3352].start 14555.34284375
transcript.pyannote[3352].end 14556.23721875
transcript.pyannote[3353].speaker SPEAKER_28
transcript.pyannote[3353].start 14557.30034375
transcript.pyannote[3353].end 14558.81909375
transcript.pyannote[3354].speaker SPEAKER_28
transcript.pyannote[3354].start 14559.76409375
transcript.pyannote[3354].end 14564.72534375
transcript.pyannote[3355].speaker SPEAKER_00
transcript.pyannote[3355].start 14562.34596875
transcript.pyannote[3355].end 14562.56534375
transcript.pyannote[3356].speaker SPEAKER_26
transcript.pyannote[3356].start 14562.56534375
transcript.pyannote[3356].end 14562.97034375
transcript.pyannote[3357].speaker SPEAKER_00
transcript.pyannote[3357].start 14562.97034375
transcript.pyannote[3357].end 14563.51034375
transcript.pyannote[3358].speaker SPEAKER_28
transcript.pyannote[3358].start 14565.06284375
transcript.pyannote[3358].end 14567.34096875
transcript.pyannote[3359].speaker SPEAKER_28
transcript.pyannote[3359].start 14567.67846875
transcript.pyannote[3359].end 14569.56846875
transcript.pyannote[3360].speaker SPEAKER_28
transcript.pyannote[3360].start 14570.37846875
transcript.pyannote[3360].end 14575.52534375
transcript.pyannote[3361].speaker SPEAKER_33
transcript.pyannote[3361].start 14574.98534375
transcript.pyannote[3361].end 14576.43659375
transcript.pyannote[3362].speaker SPEAKER_28
transcript.pyannote[3362].start 14575.94721875
transcript.pyannote[3362].end 14590.24034375
transcript.pyannote[3363].speaker SPEAKER_33
transcript.pyannote[3363].start 14577.36471875
transcript.pyannote[3363].end 14578.12409375
transcript.pyannote[3364].speaker SPEAKER_33
transcript.pyannote[3364].start 14583.65909375
transcript.pyannote[3364].end 14584.87409375
transcript.pyannote[3365].speaker SPEAKER_33
transcript.pyannote[3365].start 14585.71784375
transcript.pyannote[3365].end 14586.83159375
transcript.pyannote[3366].speaker SPEAKER_39
transcript.pyannote[3366].start 14586.83159375
transcript.pyannote[3366].end 14587.08471875
transcript.pyannote[3367].speaker SPEAKER_39
transcript.pyannote[3367].start 14591.37096875
transcript.pyannote[3367].end 14591.82659375
transcript.pyannote[3368].speaker SPEAKER_11
transcript.pyannote[3368].start 14596.82159375
transcript.pyannote[3368].end 14601.41159375
transcript.pyannote[3369].speaker SPEAKER_39
transcript.pyannote[3369].start 14601.66471875
transcript.pyannote[3369].end 14602.06971875
transcript.pyannote[3370].speaker SPEAKER_11
transcript.pyannote[3370].start 14602.18784375
transcript.pyannote[3370].end 14603.53784375
transcript.pyannote[3371].speaker SPEAKER_19
transcript.pyannote[3371].start 14612.29596875
transcript.pyannote[3371].end 14614.15221875
transcript.pyannote[3372].speaker SPEAKER_19
transcript.pyannote[3372].start 14614.28721875
transcript.pyannote[3372].end 14615.78909375
transcript.pyannote[3373].speaker SPEAKER_19
transcript.pyannote[3373].start 14622.47159375
transcript.pyannote[3373].end 14640.79784375
transcript.pyannote[3374].speaker SPEAKER_33
transcript.pyannote[3374].start 14622.50534375
transcript.pyannote[3374].end 14623.11284375
transcript.pyannote[3375].speaker SPEAKER_00
transcript.pyannote[3375].start 14627.26409375
transcript.pyannote[3375].end 14627.71971875
transcript.pyannote[3376].speaker SPEAKER_19
transcript.pyannote[3376].start 14641.01721875
transcript.pyannote[3376].end 14656.87971875
transcript.pyannote[3377].speaker SPEAKER_36
transcript.pyannote[3377].start 14657.47034375
transcript.pyannote[3377].end 14661.73971875
transcript.pyannote[3378].speaker SPEAKER_19
transcript.pyannote[3378].start 14658.06096875
transcript.pyannote[3378].end 14658.80346875
transcript.pyannote[3379].speaker SPEAKER_19
transcript.pyannote[3379].start 14660.76096875
transcript.pyannote[3379].end 14660.96346875
transcript.pyannote[3380].speaker SPEAKER_36
transcript.pyannote[3380].start 14662.12784375
transcript.pyannote[3380].end 14662.76909375
transcript.pyannote[3381].speaker SPEAKER_36
transcript.pyannote[3381].start 14663.96721875
transcript.pyannote[3381].end 14665.35096875
transcript.pyannote[3382].speaker SPEAKER_36
transcript.pyannote[3382].start 14665.51971875
transcript.pyannote[3382].end 14666.81909375
transcript.pyannote[3383].speaker SPEAKER_36
transcript.pyannote[3383].start 14666.86971875
transcript.pyannote[3383].end 14666.93721875
transcript.pyannote[3384].speaker SPEAKER_19
transcript.pyannote[3384].start 14666.93721875
transcript.pyannote[3384].end 14671.17284375
transcript.pyannote[3385].speaker SPEAKER_36
transcript.pyannote[3385].start 14668.72596875
transcript.pyannote[3385].end 14669.95784375
transcript.pyannote[3386].speaker SPEAKER_36
transcript.pyannote[3386].start 14670.34596875
transcript.pyannote[3386].end 14671.79721875
transcript.pyannote[3387].speaker SPEAKER_19
transcript.pyannote[3387].start 14671.51034375
transcript.pyannote[3387].end 14674.48034375
transcript.pyannote[3388].speaker SPEAKER_19
transcript.pyannote[3388].start 14674.54784375
transcript.pyannote[3388].end 14678.41221875
transcript.pyannote[3389].speaker SPEAKER_36
transcript.pyannote[3389].start 14674.98659375
transcript.pyannote[3389].end 14676.04971875
transcript.pyannote[3390].speaker SPEAKER_36
transcript.pyannote[3390].start 14677.95659375
transcript.pyannote[3390].end 14684.84159375
transcript.pyannote[3391].speaker SPEAKER_36
transcript.pyannote[3391].start 14685.26346875
transcript.pyannote[3391].end 14688.94221875
transcript.pyannote[3392].speaker SPEAKER_33
transcript.pyannote[3392].start 14688.94221875
transcript.pyannote[3392].end 14689.33034375
transcript.pyannote[3393].speaker SPEAKER_36
transcript.pyannote[3393].start 14689.33034375
transcript.pyannote[3393].end 14691.03471875
transcript.pyannote[3394].speaker SPEAKER_19
transcript.pyannote[3394].start 14691.03471875
transcript.pyannote[3394].end 14691.38909375
transcript.pyannote[3395].speaker SPEAKER_36
transcript.pyannote[3395].start 14691.96284375
transcript.pyannote[3395].end 14691.97971875
transcript.pyannote[3396].speaker SPEAKER_19
transcript.pyannote[3396].start 14691.97971875
transcript.pyannote[3396].end 14694.84846875
transcript.pyannote[3397].speaker SPEAKER_19
transcript.pyannote[3397].start 14695.28721875
transcript.pyannote[3397].end 14720.59971875
transcript.pyannote[3398].speaker SPEAKER_00
transcript.pyannote[3398].start 14702.84721875
transcript.pyannote[3398].end 14703.55596875
transcript.pyannote[3399].speaker SPEAKER_00
transcript.pyannote[3399].start 14709.46221875
transcript.pyannote[3399].end 14709.66471875
transcript.pyannote[3400].speaker SPEAKER_39
transcript.pyannote[3400].start 14709.66471875
transcript.pyannote[3400].end 14709.68159375
transcript.pyannote[3401].speaker SPEAKER_00
transcript.pyannote[3401].start 14709.68159375
transcript.pyannote[3401].end 14709.78284375
transcript.pyannote[3402].speaker SPEAKER_19
transcript.pyannote[3402].start 14720.83596875
transcript.pyannote[3402].end 14723.09721875
transcript.pyannote[3403].speaker SPEAKER_19
transcript.pyannote[3403].start 14723.38409375
transcript.pyannote[3403].end 14724.22784375
transcript.pyannote[3404].speaker SPEAKER_36
transcript.pyannote[3404].start 14724.22784375
transcript.pyannote[3404].end 14725.61159375
transcript.pyannote[3405].speaker SPEAKER_19
transcript.pyannote[3405].start 14725.71284375
transcript.pyannote[3405].end 14726.72534375
transcript.pyannote[3406].speaker SPEAKER_36
transcript.pyannote[3406].start 14726.48909375
transcript.pyannote[3406].end 14727.90659375
transcript.pyannote[3407].speaker SPEAKER_19
transcript.pyannote[3407].start 14727.33284375
transcript.pyannote[3407].end 14731.28159375
transcript.pyannote[3408].speaker SPEAKER_19
transcript.pyannote[3408].start 14731.58534375
transcript.pyannote[3408].end 14735.41596875
transcript.pyannote[3409].speaker SPEAKER_19
transcript.pyannote[3409].start 14735.80409375
transcript.pyannote[3409].end 14736.47909375
transcript.pyannote[3410].speaker SPEAKER_19
transcript.pyannote[3410].start 14736.79971875
transcript.pyannote[3410].end 14742.11534375
transcript.pyannote[3411].speaker SPEAKER_36
transcript.pyannote[3411].start 14740.74846875
transcript.pyannote[3411].end 14740.98471875
transcript.pyannote[3412].speaker SPEAKER_36
transcript.pyannote[3412].start 14742.33471875
transcript.pyannote[3412].end 14746.58721875
transcript.pyannote[3413].speaker SPEAKER_19
transcript.pyannote[3413].start 14745.94596875
transcript.pyannote[3413].end 14748.51096875
transcript.pyannote[3414].speaker SPEAKER_36
transcript.pyannote[3414].start 14749.03409375
transcript.pyannote[3414].end 14750.02971875
transcript.pyannote[3415].speaker SPEAKER_19
transcript.pyannote[3415].start 14750.02971875
transcript.pyannote[3415].end 14767.91721875
transcript.pyannote[3416].speaker SPEAKER_39
transcript.pyannote[3416].start 14758.82159375
transcript.pyannote[3416].end 14758.83846875
transcript.pyannote[3417].speaker SPEAKER_36
transcript.pyannote[3417].start 14767.91721875
transcript.pyannote[3417].end 14771.17409375
transcript.pyannote[3418].speaker SPEAKER_19
transcript.pyannote[3418].start 14770.76909375
transcript.pyannote[3418].end 14771.69721875
transcript.pyannote[3419].speaker SPEAKER_36
transcript.pyannote[3419].start 14771.69721875
transcript.pyannote[3419].end 14773.40159375
transcript.pyannote[3420].speaker SPEAKER_19
transcript.pyannote[3420].start 14772.89534375
transcript.pyannote[3420].end 14773.31721875
transcript.pyannote[3421].speaker SPEAKER_36
transcript.pyannote[3421].start 14773.84034375
transcript.pyannote[3421].end 14776.81034375
transcript.pyannote[3422].speaker SPEAKER_19
transcript.pyannote[3422].start 14777.04659375
transcript.pyannote[3422].end 14784.08346875
transcript.pyannote[3423].speaker SPEAKER_36
transcript.pyannote[3423].start 14777.33346875
transcript.pyannote[3423].end 14777.72159375
transcript.pyannote[3424].speaker SPEAKER_33
transcript.pyannote[3424].start 14783.47596875
transcript.pyannote[3424].end 14785.09596875
transcript.pyannote[3425].speaker SPEAKER_19
transcript.pyannote[3425].start 14785.09596875
transcript.pyannote[3425].end 14793.34784375
transcript.pyannote[3426].speaker SPEAKER_33
transcript.pyannote[3426].start 14789.60159375
transcript.pyannote[3426].end 14790.64784375
transcript.pyannote[3427].speaker SPEAKER_33
transcript.pyannote[3427].start 14792.35221875
transcript.pyannote[3427].end 14793.63471875
transcript.pyannote[3428].speaker SPEAKER_19
transcript.pyannote[3428].start 14793.63471875
transcript.pyannote[3428].end 14796.31784375
transcript.pyannote[3429].speaker SPEAKER_19
transcript.pyannote[3429].start 14796.75659375
transcript.pyannote[3429].end 14808.38346875
transcript.pyannote[3430].speaker SPEAKER_19
transcript.pyannote[3430].start 14808.46784375
transcript.pyannote[3430].end 14813.90159375
transcript.pyannote[3431].speaker SPEAKER_36
transcript.pyannote[3431].start 14813.90159375
transcript.pyannote[3431].end 14818.67721875
transcript.pyannote[3432].speaker SPEAKER_19
transcript.pyannote[3432].start 14816.95596875
transcript.pyannote[3432].end 14817.42846875
transcript.pyannote[3433].speaker SPEAKER_19
transcript.pyannote[3433].start 14818.08659375
transcript.pyannote[3433].end 14825.37659375
transcript.pyannote[3434].speaker SPEAKER_36
transcript.pyannote[3434].start 14825.51159375
transcript.pyannote[3434].end 14831.77221875
transcript.pyannote[3435].speaker SPEAKER_19
transcript.pyannote[3435].start 14829.46034375
transcript.pyannote[3435].end 14830.01721875
transcript.pyannote[3436].speaker SPEAKER_36
transcript.pyannote[3436].start 14832.34596875
transcript.pyannote[3436].end 14833.98284375
transcript.pyannote[3437].speaker SPEAKER_36
transcript.pyannote[3437].start 14834.40471875
transcript.pyannote[3437].end 14838.13409375
transcript.pyannote[3438].speaker SPEAKER_19
transcript.pyannote[3438].start 14835.68721875
transcript.pyannote[3438].end 14836.14284375
transcript.pyannote[3439].speaker SPEAKER_36
transcript.pyannote[3439].start 14838.38721875
transcript.pyannote[3439].end 14839.73721875
transcript.pyannote[3440].speaker SPEAKER_19
transcript.pyannote[3440].start 14839.73721875
transcript.pyannote[3440].end 14841.94784375
transcript.pyannote[3441].speaker SPEAKER_19
transcript.pyannote[3441].start 14842.70721875
transcript.pyannote[3441].end 14847.83721875
transcript.pyannote[3442].speaker SPEAKER_36
transcript.pyannote[3442].start 14846.06534375
transcript.pyannote[3442].end 14846.35221875
transcript.pyannote[3443].speaker SPEAKER_19
transcript.pyannote[3443].start 14848.07346875
transcript.pyannote[3443].end 14849.25471875
transcript.pyannote[3444].speaker SPEAKER_36
transcript.pyannote[3444].start 14849.45721875
transcript.pyannote[3444].end 14849.91284375
transcript.pyannote[3445].speaker SPEAKER_19
transcript.pyannote[3445].start 14849.91284375
transcript.pyannote[3445].end 14855.39721875
transcript.pyannote[3446].speaker SPEAKER_19
transcript.pyannote[3446].start 14855.85284375
transcript.pyannote[3446].end 14859.46409375
transcript.pyannote[3447].speaker SPEAKER_36
transcript.pyannote[3447].start 14857.87784375
transcript.pyannote[3447].end 14859.44721875
transcript.pyannote[3448].speaker SPEAKER_36
transcript.pyannote[3448].start 14859.46409375
transcript.pyannote[3448].end 14860.59471875
transcript.pyannote[3449].speaker SPEAKER_19
transcript.pyannote[3449].start 14860.59471875
transcript.pyannote[3449].end 14865.79221875
transcript.pyannote[3450].speaker SPEAKER_22
transcript.pyannote[3450].start 14865.47159375
transcript.pyannote[3450].end 14865.77534375
transcript.pyannote[3451].speaker SPEAKER_22
transcript.pyannote[3451].start 14865.79221875
transcript.pyannote[3451].end 14866.02846875
transcript.pyannote[3452].speaker SPEAKER_19
transcript.pyannote[3452].start 14866.02846875
transcript.pyannote[3452].end 14866.46721875
transcript.pyannote[3453].speaker SPEAKER_22
transcript.pyannote[3453].start 14866.04534375
transcript.pyannote[3453].end 14866.21409375
transcript.pyannote[3454].speaker SPEAKER_19
transcript.pyannote[3454].start 14867.00721875
transcript.pyannote[3454].end 14880.27096875
transcript.pyannote[3455].speaker SPEAKER_19
transcript.pyannote[3455].start 14880.74346875
transcript.pyannote[3455].end 14905.73534375
transcript.pyannote[3456].speaker SPEAKER_00
transcript.pyannote[3456].start 14884.38846875
transcript.pyannote[3456].end 14885.02971875
transcript.pyannote[3457].speaker SPEAKER_33
transcript.pyannote[3457].start 14885.02971875
transcript.pyannote[3457].end 14885.23221875
transcript.pyannote[3458].speaker SPEAKER_00
transcript.pyannote[3458].start 14885.23221875
transcript.pyannote[3458].end 14885.31659375
transcript.pyannote[3459].speaker SPEAKER_33
transcript.pyannote[3459].start 14886.70034375
transcript.pyannote[3459].end 14886.86909375
transcript.pyannote[3460].speaker SPEAKER_33
transcript.pyannote[3460].start 14887.61159375
transcript.pyannote[3460].end 14887.76346875
transcript.pyannote[3461].speaker SPEAKER_19
transcript.pyannote[3461].start 14906.15721875
transcript.pyannote[3461].end 14909.78534375
transcript.pyannote[3462].speaker SPEAKER_19
transcript.pyannote[3462].start 14910.81471875
transcript.pyannote[3462].end 14920.60221875
transcript.pyannote[3463].speaker SPEAKER_36
transcript.pyannote[3463].start 14921.04096875
transcript.pyannote[3463].end 14926.52534375
transcript.pyannote[3464].speaker SPEAKER_19
transcript.pyannote[3464].start 14924.92221875
transcript.pyannote[3464].end 14927.67284375
transcript.pyannote[3465].speaker SPEAKER_19
transcript.pyannote[3465].start 14928.60096875
transcript.pyannote[3465].end 14942.72534375
transcript.pyannote[3466].speaker SPEAKER_33
transcript.pyannote[3466].start 14942.65784375
transcript.pyannote[3466].end 14943.88971875
transcript.pyannote[3467].speaker SPEAKER_19
transcript.pyannote[3467].start 14943.01221875
transcript.pyannote[3467].end 14950.03221875
transcript.pyannote[3468].speaker SPEAKER_19
transcript.pyannote[3468].start 14950.65659375
transcript.pyannote[3468].end 14952.24284375
transcript.pyannote[3469].speaker SPEAKER_19
transcript.pyannote[3469].start 14952.56346875
transcript.pyannote[3469].end 14955.34784375
transcript.pyannote[3470].speaker SPEAKER_36
transcript.pyannote[3470].start 14954.38596875
transcript.pyannote[3470].end 14955.51659375
transcript.pyannote[3471].speaker SPEAKER_19
transcript.pyannote[3471].start 14955.51659375
transcript.pyannote[3471].end 14969.72534375
transcript.pyannote[3472].speaker SPEAKER_36
transcript.pyannote[3472].start 14955.53346875
transcript.pyannote[3472].end 14956.12409375
transcript.pyannote[3473].speaker SPEAKER_36
transcript.pyannote[3473].start 14959.81971875
transcript.pyannote[3473].end 14960.47784375
transcript.pyannote[3474].speaker SPEAKER_36
transcript.pyannote[3474].start 14966.63721875
transcript.pyannote[3474].end 14967.04221875
transcript.pyannote[3475].speaker SPEAKER_36
transcript.pyannote[3475].start 14968.17284375
transcript.pyannote[3475].end 14968.18971875
transcript.pyannote[3476].speaker SPEAKER_36
transcript.pyannote[3476].start 14968.49346875
transcript.pyannote[3476].end 14975.22659375
transcript.pyannote[3477].speaker SPEAKER_19
transcript.pyannote[3477].start 14974.23096875
transcript.pyannote[3477].end 14978.87159375
transcript.pyannote[3478].speaker SPEAKER_36
transcript.pyannote[3478].start 14977.75784375
transcript.pyannote[3478].end 14981.80784375
transcript.pyannote[3479].speaker SPEAKER_19
transcript.pyannote[3479].start 14979.93471875
transcript.pyannote[3479].end 14982.75284375
transcript.pyannote[3480].speaker SPEAKER_36
transcript.pyannote[3480].start 14982.19596875
transcript.pyannote[3480].end 14983.25909375
transcript.pyannote[3481].speaker SPEAKER_36
transcript.pyannote[3481].start 14983.78221875
transcript.pyannote[3481].end 14988.33846875
transcript.pyannote[3482].speaker SPEAKER_19
transcript.pyannote[3482].start 14988.33846875
transcript.pyannote[3482].end 14995.56096875
transcript.pyannote[3483].speaker SPEAKER_36
transcript.pyannote[3483].start 14994.81846875
transcript.pyannote[3483].end 14997.41721875
transcript.pyannote[3484].speaker SPEAKER_19
transcript.pyannote[3484].start 14996.52284375
transcript.pyannote[3484].end 15000.28596875
transcript.pyannote[3485].speaker SPEAKER_36
transcript.pyannote[3485].start 14997.50159375
transcript.pyannote[3485].end 14997.67034375
transcript.pyannote[3486].speaker SPEAKER_19
transcript.pyannote[3486].start 15000.82596875
transcript.pyannote[3486].end 15001.78784375
transcript.pyannote[3487].speaker SPEAKER_36
transcript.pyannote[3487].start 15001.60221875
transcript.pyannote[3487].end 15002.36159375
transcript.pyannote[3488].speaker SPEAKER_19
transcript.pyannote[3488].start 15001.85534375
transcript.pyannote[3488].end 15008.57159375
transcript.pyannote[3489].speaker SPEAKER_33
transcript.pyannote[3489].start 15005.38221875
transcript.pyannote[3489].end 15005.55096875
transcript.pyannote[3490].speaker SPEAKER_42
transcript.pyannote[3490].start 15005.55096875
transcript.pyannote[3490].end 15005.58471875
transcript.pyannote[3491].speaker SPEAKER_33
transcript.pyannote[3491].start 15005.58471875
transcript.pyannote[3491].end 15005.60159375
transcript.pyannote[3492].speaker SPEAKER_42
transcript.pyannote[3492].start 15008.33534375
transcript.pyannote[3492].end 15009.01034375
transcript.pyannote[3493].speaker SPEAKER_19
transcript.pyannote[3493].start 15008.74034375
transcript.pyannote[3493].end 15029.27721875
transcript.pyannote[3494].speaker SPEAKER_33
transcript.pyannote[3494].start 15009.01034375
transcript.pyannote[3494].end 15009.02721875
transcript.pyannote[3495].speaker SPEAKER_41
transcript.pyannote[3495].start 15022.79721875
transcript.pyannote[3495].end 15023.47221875
transcript.pyannote[3496].speaker SPEAKER_41
transcript.pyannote[3496].start 15023.59034375
transcript.pyannote[3496].end 15023.64096875
transcript.pyannote[3497].speaker SPEAKER_36
transcript.pyannote[3497].start 15023.64096875
transcript.pyannote[3497].end 15023.77596875
transcript.pyannote[3498].speaker SPEAKER_41
transcript.pyannote[3498].start 15023.77596875
transcript.pyannote[3498].end 15023.92784375
transcript.pyannote[3499].speaker SPEAKER_36
transcript.pyannote[3499].start 15028.39971875
transcript.pyannote[3499].end 15030.89721875
transcript.pyannote[3500].speaker SPEAKER_19
transcript.pyannote[3500].start 15030.94784375
transcript.pyannote[3500].end 15032.75346875
transcript.pyannote[3501].speaker SPEAKER_36
transcript.pyannote[3501].start 15032.01096875
transcript.pyannote[3501].end 15032.04471875
transcript.pyannote[3502].speaker SPEAKER_11
transcript.pyannote[3502].start 15038.84534375
transcript.pyannote[3502].end 15041.78159375
transcript.pyannote[3503].speaker SPEAKER_18
transcript.pyannote[3503].start 15056.53034375
transcript.pyannote[3503].end 15056.93534375
transcript.pyannote[3504].speaker SPEAKER_16
transcript.pyannote[3504].start 15060.44534375
transcript.pyannote[3504].end 15062.25096875
transcript.pyannote[3505].speaker SPEAKER_11
transcript.pyannote[3505].start 15062.41971875
transcript.pyannote[3505].end 15063.17909375
transcript.pyannote[3506].speaker SPEAKER_33
transcript.pyannote[3506].start 15070.01346875
transcript.pyannote[3506].end 15070.04721875
transcript.pyannote[3507].speaker SPEAKER_36
transcript.pyannote[3507].start 15070.04721875
transcript.pyannote[3507].end 15070.67159375
transcript.pyannote[3508].speaker SPEAKER_16
transcript.pyannote[3508].start 15070.87409375
transcript.pyannote[3508].end 15072.03846875
transcript.pyannote[3509].speaker SPEAKER_16
transcript.pyannote[3509].start 15072.22409375
transcript.pyannote[3509].end 15073.97909375
transcript.pyannote[3510].speaker SPEAKER_36
transcript.pyannote[3510].start 15074.72159375
transcript.pyannote[3510].end 15075.71721875
transcript.pyannote[3511].speaker SPEAKER_16
transcript.pyannote[3511].start 15076.40909375
transcript.pyannote[3511].end 15077.74221875
transcript.pyannote[3512].speaker SPEAKER_36
transcript.pyannote[3512].start 15078.45096875
transcript.pyannote[3512].end 15078.85596875
transcript.pyannote[3513].speaker SPEAKER_36
transcript.pyannote[3513].start 15079.12596875
transcript.pyannote[3513].end 15079.73346875
transcript.pyannote[3514].speaker SPEAKER_16
transcript.pyannote[3514].start 15080.37471875
transcript.pyannote[3514].end 15081.04971875
transcript.pyannote[3515].speaker SPEAKER_36
transcript.pyannote[3515].start 15081.23534375
transcript.pyannote[3515].end 15082.07909375
transcript.pyannote[3516].speaker SPEAKER_16
transcript.pyannote[3516].start 15081.65721875
transcript.pyannote[3516].end 15082.26471875
transcript.pyannote[3517].speaker SPEAKER_36
transcript.pyannote[3517].start 15082.55159375
transcript.pyannote[3517].end 15082.95659375
transcript.pyannote[3518].speaker SPEAKER_36
transcript.pyannote[3518].start 15083.17596875
transcript.pyannote[3518].end 15084.86346875
transcript.pyannote[3519].speaker SPEAKER_36
transcript.pyannote[3519].start 15086.14596875
transcript.pyannote[3519].end 15087.93471875
transcript.pyannote[3520].speaker SPEAKER_36
transcript.pyannote[3520].start 15087.95159375
transcript.pyannote[3520].end 15088.03596875
transcript.pyannote[3521].speaker SPEAKER_36
transcript.pyannote[3521].start 15088.06971875
transcript.pyannote[3521].end 15088.45784375
transcript.pyannote[3522].speaker SPEAKER_36
transcript.pyannote[3522].start 15089.47034375
transcript.pyannote[3522].end 15089.63909375
transcript.pyannote[3523].speaker SPEAKER_16
transcript.pyannote[3523].start 15089.72346875
transcript.pyannote[3523].end 15092.77784375
transcript.pyannote[3524].speaker SPEAKER_36
transcript.pyannote[3524].start 15092.59221875
transcript.pyannote[3524].end 15098.56596875
transcript.pyannote[3525].speaker SPEAKER_16
transcript.pyannote[3525].start 15100.13534375
transcript.pyannote[3525].end 15103.02096875
transcript.pyannote[3526].speaker SPEAKER_16
transcript.pyannote[3526].start 15103.69596875
transcript.pyannote[3526].end 15105.99096875
transcript.pyannote[3527].speaker SPEAKER_33
transcript.pyannote[3527].start 15106.83471875
transcript.pyannote[3527].end 15107.15534375
transcript.pyannote[3528].speaker SPEAKER_16
transcript.pyannote[3528].start 15107.34096875
transcript.pyannote[3528].end 15109.19721875
transcript.pyannote[3529].speaker SPEAKER_33
transcript.pyannote[3529].start 15109.19721875
transcript.pyannote[3529].end 15109.72034375
transcript.pyannote[3530].speaker SPEAKER_16
transcript.pyannote[3530].start 15109.80471875
transcript.pyannote[3530].end 15111.57659375
transcript.pyannote[3531].speaker SPEAKER_16
transcript.pyannote[3531].start 15112.25159375
transcript.pyannote[3531].end 15116.04846875
transcript.pyannote[3532].speaker SPEAKER_40
transcript.pyannote[3532].start 15116.58846875
transcript.pyannote[3532].end 15117.04409375
transcript.pyannote[3533].speaker SPEAKER_16
transcript.pyannote[3533].start 15117.56721875
transcript.pyannote[3533].end 15123.64221875
transcript.pyannote[3534].speaker SPEAKER_40
transcript.pyannote[3534].start 15123.64221875
transcript.pyannote[3534].end 15123.65909375
transcript.pyannote[3535].speaker SPEAKER_16
transcript.pyannote[3535].start 15123.65909375
transcript.pyannote[3535].end 15123.69284375
transcript.pyannote[3536].speaker SPEAKER_40
transcript.pyannote[3536].start 15123.69284375
transcript.pyannote[3536].end 15123.70971875
transcript.pyannote[3537].speaker SPEAKER_16
transcript.pyannote[3537].start 15123.79409375
transcript.pyannote[3537].end 15125.05971875
transcript.pyannote[3538].speaker SPEAKER_40
transcript.pyannote[3538].start 15125.73471875
transcript.pyannote[3538].end 15125.76846875
transcript.pyannote[3539].speaker SPEAKER_33
transcript.pyannote[3539].start 15125.76846875
transcript.pyannote[3539].end 15126.20721875
transcript.pyannote[3540].speaker SPEAKER_16
transcript.pyannote[3540].start 15126.32534375
transcript.pyannote[3540].end 15130.18971875
transcript.pyannote[3541].speaker SPEAKER_16
transcript.pyannote[3541].start 15130.66221875
transcript.pyannote[3541].end 15132.04596875
transcript.pyannote[3542].speaker SPEAKER_16
transcript.pyannote[3542].start 15132.61971875
transcript.pyannote[3542].end 15135.38721875
transcript.pyannote[3543].speaker SPEAKER_16
transcript.pyannote[3543].start 15135.91034375
transcript.pyannote[3543].end 15138.17159375
transcript.pyannote[3544].speaker SPEAKER_16
transcript.pyannote[3544].start 15138.81284375
transcript.pyannote[3544].end 15140.24721875
transcript.pyannote[3545].speaker SPEAKER_00
transcript.pyannote[3545].start 15138.84659375
transcript.pyannote[3545].end 15139.75784375
transcript.pyannote[3546].speaker SPEAKER_16
transcript.pyannote[3546].start 15140.56784375
transcript.pyannote[3546].end 15141.88409375
transcript.pyannote[3547].speaker SPEAKER_16
transcript.pyannote[3547].start 15142.59284375
transcript.pyannote[3547].end 15144.17909375
transcript.pyannote[3548].speaker SPEAKER_16
transcript.pyannote[3548].start 15144.60096875
transcript.pyannote[3548].end 15146.32221875
transcript.pyannote[3549].speaker SPEAKER_16
transcript.pyannote[3549].start 15146.84534375
transcript.pyannote[3549].end 15148.49909375
transcript.pyannote[3550].speaker SPEAKER_16
transcript.pyannote[3550].start 15149.56221875
transcript.pyannote[3550].end 15151.55346875
transcript.pyannote[3551].speaker SPEAKER_16
transcript.pyannote[3551].start 15152.95409375
transcript.pyannote[3551].end 15155.56971875
transcript.pyannote[3552].speaker SPEAKER_16
transcript.pyannote[3552].start 15156.27846875
transcript.pyannote[3552].end 15158.84346875
transcript.pyannote[3553].speaker SPEAKER_36
transcript.pyannote[3553].start 15159.95721875
transcript.pyannote[3553].end 15161.49284375
transcript.pyannote[3554].speaker SPEAKER_36
transcript.pyannote[3554].start 15161.56034375
transcript.pyannote[3554].end 15162.96096875
transcript.pyannote[3555].speaker SPEAKER_16
transcript.pyannote[3555].start 15163.14659375
transcript.pyannote[3555].end 15166.65659375
transcript.pyannote[3556].speaker SPEAKER_14
transcript.pyannote[3556].start 15166.16721875
transcript.pyannote[3556].end 15166.18409375
transcript.pyannote[3557].speaker SPEAKER_14
transcript.pyannote[3557].start 15166.65659375
transcript.pyannote[3557].end 15166.70721875
transcript.pyannote[3558].speaker SPEAKER_14
transcript.pyannote[3558].start 15166.84221875
transcript.pyannote[3558].end 15177.52409375
transcript.pyannote[3559].speaker SPEAKER_14
transcript.pyannote[3559].start 15182.50221875
transcript.pyannote[3559].end 15183.24471875
transcript.pyannote[3560].speaker SPEAKER_14
transcript.pyannote[3560].start 15183.97034375
transcript.pyannote[3560].end 15186.06284375
transcript.pyannote[3561].speaker SPEAKER_14
transcript.pyannote[3561].start 15187.90221875
transcript.pyannote[3561].end 15191.96909375
transcript.pyannote[3562].speaker SPEAKER_16
transcript.pyannote[3562].start 15191.96909375
transcript.pyannote[3562].end 15192.81284375
transcript.pyannote[3563].speaker SPEAKER_16
transcript.pyannote[3563].start 15193.97721875
transcript.pyannote[3563].end 15194.39909375
transcript.pyannote[3564].speaker SPEAKER_16
transcript.pyannote[3564].start 15195.25971875
transcript.pyannote[3564].end 15197.67284375
transcript.pyannote[3565].speaker SPEAKER_16
transcript.pyannote[3565].start 15199.63034375
transcript.pyannote[3565].end 15206.56596875
transcript.pyannote[3566].speaker SPEAKER_16
transcript.pyannote[3566].start 15207.12284375
transcript.pyannote[3566].end 15211.40909375
transcript.pyannote[3567].speaker SPEAKER_14
transcript.pyannote[3567].start 15207.22409375
transcript.pyannote[3567].end 15209.87346875
transcript.pyannote[3568].speaker SPEAKER_16
transcript.pyannote[3568].start 15212.62409375
transcript.pyannote[3568].end 15217.61909375
transcript.pyannote[3569].speaker SPEAKER_16
transcript.pyannote[3569].start 15218.36159375
transcript.pyannote[3569].end 15220.18409375
transcript.pyannote[3570].speaker SPEAKER_16
transcript.pyannote[3570].start 15221.46659375
transcript.pyannote[3570].end 15224.35221875
transcript.pyannote[3571].speaker SPEAKER_16
transcript.pyannote[3571].start 15225.22971875
transcript.pyannote[3571].end 15227.47409375
transcript.pyannote[3572].speaker SPEAKER_16
transcript.pyannote[3572].start 15227.76096875
transcript.pyannote[3572].end 15229.26284375
transcript.pyannote[3573].speaker SPEAKER_16
transcript.pyannote[3573].start 15230.54534375
transcript.pyannote[3573].end 15232.28346875
transcript.pyannote[3574].speaker SPEAKER_16
transcript.pyannote[3574].start 15232.62096875
transcript.pyannote[3574].end 15233.46471875
transcript.pyannote[3575].speaker SPEAKER_16
transcript.pyannote[3575].start 15233.61659375
transcript.pyannote[3575].end 15235.32096875
transcript.pyannote[3576].speaker SPEAKER_16
transcript.pyannote[3576].start 15236.13096875
transcript.pyannote[3576].end 15237.90284375
transcript.pyannote[3577].speaker SPEAKER_16
transcript.pyannote[3577].start 15238.64534375
transcript.pyannote[3577].end 15242.61096875
transcript.pyannote[3578].speaker SPEAKER_36
transcript.pyannote[3578].start 15243.96096875
transcript.pyannote[3578].end 15248.23034375
transcript.pyannote[3579].speaker SPEAKER_16
transcript.pyannote[3579].start 15247.40346875
transcript.pyannote[3579].end 15248.60159375
transcript.pyannote[3580].speaker SPEAKER_36
transcript.pyannote[3580].start 15248.60159375
transcript.pyannote[3580].end 15248.63534375
transcript.pyannote[3581].speaker SPEAKER_16
transcript.pyannote[3581].start 15248.63534375
transcript.pyannote[3581].end 15249.04034375
transcript.pyannote[3582].speaker SPEAKER_16
transcript.pyannote[3582].start 15249.86721875
transcript.pyannote[3582].end 15251.80784375
transcript.pyannote[3583].speaker SPEAKER_16
transcript.pyannote[3583].start 15251.85846875
transcript.pyannote[3583].end 15252.90471875
transcript.pyannote[3584].speaker SPEAKER_16
transcript.pyannote[3584].start 15254.28846875
transcript.pyannote[3584].end 15254.87909375
transcript.pyannote[3585].speaker SPEAKER_16
transcript.pyannote[3585].start 15255.35159375
transcript.pyannote[3585].end 15257.68034375
transcript.pyannote[3586].speaker SPEAKER_16
transcript.pyannote[3586].start 15259.04721875
transcript.pyannote[3586].end 15262.35471875
transcript.pyannote[3587].speaker SPEAKER_16
transcript.pyannote[3587].start 15262.52346875
transcript.pyannote[3587].end 15263.38409375
transcript.pyannote[3588].speaker SPEAKER_16
transcript.pyannote[3588].start 15264.16034375
transcript.pyannote[3588].end 15264.90284375
transcript.pyannote[3589].speaker SPEAKER_16
transcript.pyannote[3589].start 15266.08409375
transcript.pyannote[3589].end 15267.26534375
transcript.pyannote[3590].speaker SPEAKER_36
transcript.pyannote[3590].start 15266.18534375
transcript.pyannote[3590].end 15266.60721875
transcript.pyannote[3591].speaker SPEAKER_36
transcript.pyannote[3591].start 15267.46784375
transcript.pyannote[3591].end 15268.19346875
transcript.pyannote[3592].speaker SPEAKER_16
transcript.pyannote[3592].start 15268.19346875
transcript.pyannote[3592].end 15270.91034375
transcript.pyannote[3593].speaker SPEAKER_16
transcript.pyannote[3593].start 15271.73721875
transcript.pyannote[3593].end 15272.05784375
transcript.pyannote[3594].speaker SPEAKER_16
transcript.pyannote[3594].start 15272.14221875
transcript.pyannote[3594].end 15273.17159375
transcript.pyannote[3595].speaker SPEAKER_36
transcript.pyannote[3595].start 15272.26034375
transcript.pyannote[3595].end 15273.12096875
transcript.pyannote[3596].speaker SPEAKER_16
transcript.pyannote[3596].start 15273.93096875
transcript.pyannote[3596].end 15276.42846875
transcript.pyannote[3597].speaker SPEAKER_36
transcript.pyannote[3597].start 15274.69034375
transcript.pyannote[3597].end 15275.29784375
transcript.pyannote[3598].speaker SPEAKER_16
transcript.pyannote[3598].start 15277.15409375
transcript.pyannote[3598].end 15278.16659375
transcript.pyannote[3599].speaker SPEAKER_16
transcript.pyannote[3599].start 15278.95971875
transcript.pyannote[3599].end 15280.93409375
transcript.pyannote[3600].speaker SPEAKER_16
transcript.pyannote[3600].start 15281.81159375
transcript.pyannote[3600].end 15284.39346875
transcript.pyannote[3601].speaker SPEAKER_33
transcript.pyannote[3601].start 15283.88721875
transcript.pyannote[3601].end 15284.89971875
transcript.pyannote[3602].speaker SPEAKER_16
transcript.pyannote[3602].start 15284.89971875
transcript.pyannote[3602].end 15288.22409375
transcript.pyannote[3603].speaker SPEAKER_16
transcript.pyannote[3603].start 15289.55721875
transcript.pyannote[3603].end 15290.65409375
transcript.pyannote[3604].speaker SPEAKER_16
transcript.pyannote[3604].start 15291.44721875
transcript.pyannote[3604].end 15292.54409375
transcript.pyannote[3605].speaker SPEAKER_16
transcript.pyannote[3605].start 15293.10096875
transcript.pyannote[3605].end 15293.43846875
transcript.pyannote[3606].speaker SPEAKER_16
transcript.pyannote[3606].start 15293.74221875
transcript.pyannote[3606].end 15294.29909375
transcript.pyannote[3607].speaker SPEAKER_16
transcript.pyannote[3607].start 15295.09221875
transcript.pyannote[3607].end 15296.00346875
transcript.pyannote[3608].speaker SPEAKER_16
transcript.pyannote[3608].start 15296.27346875
transcript.pyannote[3608].end 15296.89784375
transcript.pyannote[3609].speaker SPEAKER_16
transcript.pyannote[3609].start 15297.30284375
transcript.pyannote[3609].end 15298.70346875
transcript.pyannote[3610].speaker SPEAKER_16
transcript.pyannote[3610].start 15299.31096875
transcript.pyannote[3610].end 15300.18846875
transcript.pyannote[3611].speaker SPEAKER_16
transcript.pyannote[3611].start 15300.99846875
transcript.pyannote[3611].end 15301.75784375
transcript.pyannote[3612].speaker SPEAKER_36
transcript.pyannote[3612].start 15302.44971875
transcript.pyannote[3612].end 15305.20034375
transcript.pyannote[3613].speaker SPEAKER_16
transcript.pyannote[3613].start 15302.50034375
transcript.pyannote[3613].end 15302.61846875
transcript.pyannote[3614].speaker SPEAKER_16
transcript.pyannote[3614].start 15305.62221875
transcript.pyannote[3614].end 15308.74409375
transcript.pyannote[3615].speaker SPEAKER_16
transcript.pyannote[3615].start 15309.14909375
transcript.pyannote[3615].end 15310.36409375
transcript.pyannote[3616].speaker SPEAKER_40
transcript.pyannote[3616].start 15310.36409375
transcript.pyannote[3616].end 15310.51596875
transcript.pyannote[3617].speaker SPEAKER_16
transcript.pyannote[3617].start 15310.66784375
transcript.pyannote[3617].end 15311.03909375
transcript.pyannote[3618].speaker SPEAKER_40
transcript.pyannote[3618].start 15311.25846875
transcript.pyannote[3618].end 15311.54534375
transcript.pyannote[3619].speaker SPEAKER_16
transcript.pyannote[3619].start 15311.88284375
transcript.pyannote[3619].end 15312.40596875
transcript.pyannote[3620].speaker SPEAKER_16
transcript.pyannote[3620].start 15313.23284375
transcript.pyannote[3620].end 15315.59534375
transcript.pyannote[3621].speaker SPEAKER_16
transcript.pyannote[3621].start 15316.06784375
transcript.pyannote[3621].end 15320.87721875
transcript.pyannote[3622].speaker SPEAKER_36
transcript.pyannote[3622].start 15321.34971875
transcript.pyannote[3622].end 15322.96971875
transcript.pyannote[3623].speaker SPEAKER_16
transcript.pyannote[3623].start 15322.12596875
transcript.pyannote[3623].end 15323.98221875
transcript.pyannote[3624].speaker SPEAKER_36
transcript.pyannote[3624].start 15323.98221875
transcript.pyannote[3624].end 15327.10409375
transcript.pyannote[3625].speaker SPEAKER_16
transcript.pyannote[3625].start 15327.10409375
transcript.pyannote[3625].end 15329.51721875
transcript.pyannote[3626].speaker SPEAKER_16
transcript.pyannote[3626].start 15329.85471875
transcript.pyannote[3626].end 15331.89659375
transcript.pyannote[3627].speaker SPEAKER_16
transcript.pyannote[3627].start 15332.11596875
transcript.pyannote[3627].end 15332.48721875
transcript.pyannote[3628].speaker SPEAKER_16
transcript.pyannote[3628].start 15332.80784375
transcript.pyannote[3628].end 15333.39846875
transcript.pyannote[3629].speaker SPEAKER_16
transcript.pyannote[3629].start 15334.34346875
transcript.pyannote[3629].end 15336.80721875
transcript.pyannote[3630].speaker SPEAKER_16
transcript.pyannote[3630].start 15337.24596875
transcript.pyannote[3630].end 15349.12596875
transcript.pyannote[3631].speaker SPEAKER_16
transcript.pyannote[3631].start 15349.44659375
transcript.pyannote[3631].end 15351.08346875
transcript.pyannote[3632].speaker SPEAKER_16
transcript.pyannote[3632].start 15351.45471875
transcript.pyannote[3632].end 15353.15909375
transcript.pyannote[3633].speaker SPEAKER_16
transcript.pyannote[3633].start 15354.30659375
transcript.pyannote[3633].end 15355.62284375
transcript.pyannote[3634].speaker SPEAKER_16
transcript.pyannote[3634].start 15356.34846875
transcript.pyannote[3634].end 15357.24284375
transcript.pyannote[3635].speaker SPEAKER_16
transcript.pyannote[3635].start 15358.79534375
transcript.pyannote[3635].end 15359.68971875
transcript.pyannote[3636].speaker SPEAKER_16
transcript.pyannote[3636].start 15360.44909375
transcript.pyannote[3636].end 15361.29284375
transcript.pyannote[3637].speaker SPEAKER_16
transcript.pyannote[3637].start 15362.18721875
transcript.pyannote[3637].end 15362.71034375
transcript.pyannote[3638].speaker SPEAKER_16
transcript.pyannote[3638].start 15363.58784375
transcript.pyannote[3638].end 15365.52846875
transcript.pyannote[3639].speaker SPEAKER_16
transcript.pyannote[3639].start 15366.00096875
transcript.pyannote[3639].end 15367.01346875
transcript.pyannote[3640].speaker SPEAKER_16
transcript.pyannote[3640].start 15367.53659375
transcript.pyannote[3640].end 15368.68409375
transcript.pyannote[3641].speaker SPEAKER_16
transcript.pyannote[3641].start 15368.75159375
transcript.pyannote[3641].end 15369.57846875
transcript.pyannote[3642].speaker SPEAKER_16
transcript.pyannote[3642].start 15369.81471875
transcript.pyannote[3642].end 15370.52346875
transcript.pyannote[3643].speaker SPEAKER_16
transcript.pyannote[3643].start 15371.33346875
transcript.pyannote[3643].end 15371.97471875
transcript.pyannote[3644].speaker SPEAKER_36
transcript.pyannote[3644].start 15371.38409375
transcript.pyannote[3644].end 15371.90721875
transcript.pyannote[3645].speaker SPEAKER_36
transcript.pyannote[3645].start 15371.97471875
transcript.pyannote[3645].end 15372.02534375
transcript.pyannote[3646].speaker SPEAKER_16
transcript.pyannote[3646].start 15372.02534375
transcript.pyannote[3646].end 15374.52284375
transcript.pyannote[3647].speaker SPEAKER_36
transcript.pyannote[3647].start 15372.64971875
transcript.pyannote[3647].end 15373.61159375
transcript.pyannote[3648].speaker SPEAKER_16
transcript.pyannote[3648].start 15374.70846875
transcript.pyannote[3648].end 15376.53096875
transcript.pyannote[3649].speaker SPEAKER_16
transcript.pyannote[3649].start 15377.10471875
transcript.pyannote[3649].end 15378.58971875
transcript.pyannote[3650].speaker SPEAKER_16
transcript.pyannote[3650].start 15379.01159375
transcript.pyannote[3650].end 15381.86346875
transcript.pyannote[3651].speaker SPEAKER_16
transcript.pyannote[3651].start 15382.25159375
transcript.pyannote[3651].end 15384.12471875
transcript.pyannote[3652].speaker SPEAKER_16
transcript.pyannote[3652].start 15385.40721875
transcript.pyannote[3652].end 15386.26784375
transcript.pyannote[3653].speaker SPEAKER_16
transcript.pyannote[3653].start 15386.85846875
transcript.pyannote[3653].end 15387.24659375
transcript.pyannote[3654].speaker SPEAKER_16
transcript.pyannote[3654].start 15387.70221875
transcript.pyannote[3654].end 15388.61346875
transcript.pyannote[3655].speaker SPEAKER_36
transcript.pyannote[3655].start 15389.38971875
transcript.pyannote[3655].end 15395.76846875
transcript.pyannote[3656].speaker SPEAKER_16
transcript.pyannote[3656].start 15395.21159375
transcript.pyannote[3656].end 15395.98784375
transcript.pyannote[3657].speaker SPEAKER_16
transcript.pyannote[3657].start 15396.44346875
transcript.pyannote[3657].end 15399.05909375
transcript.pyannote[3658].speaker SPEAKER_16
transcript.pyannote[3658].start 15399.86909375
transcript.pyannote[3658].end 15410.71971875
transcript.pyannote[3659].speaker SPEAKER_16
transcript.pyannote[3659].start 15411.27659375
transcript.pyannote[3659].end 15416.60909375
transcript.pyannote[3660].speaker SPEAKER_16
transcript.pyannote[3660].start 15416.84534375
transcript.pyannote[3660].end 15417.03096875
transcript.pyannote[3661].speaker SPEAKER_36
transcript.pyannote[3661].start 15417.03096875
transcript.pyannote[3661].end 15417.04784375
transcript.pyannote[3662].speaker SPEAKER_16
transcript.pyannote[3662].start 15417.04784375
transcript.pyannote[3662].end 15417.06471875
transcript.pyannote[3663].speaker SPEAKER_36
transcript.pyannote[3663].start 15417.06471875
transcript.pyannote[3663].end 15422.97096875
transcript.pyannote[3664].speaker SPEAKER_16
transcript.pyannote[3664].start 15419.61284375
transcript.pyannote[3664].end 15420.28784375
transcript.pyannote[3665].speaker SPEAKER_36
transcript.pyannote[3665].start 15423.29159375
transcript.pyannote[3665].end 15424.54034375
transcript.pyannote[3666].speaker SPEAKER_16
transcript.pyannote[3666].start 15423.56159375
transcript.pyannote[3666].end 15425.51909375
transcript.pyannote[3667].speaker SPEAKER_16
transcript.pyannote[3667].start 15425.78909375
transcript.pyannote[3667].end 15427.56096875
transcript.pyannote[3668].speaker SPEAKER_16
transcript.pyannote[3668].start 15427.74659375
transcript.pyannote[3668].end 15427.76346875
transcript.pyannote[3669].speaker SPEAKER_36
transcript.pyannote[3669].start 15427.76346875
transcript.pyannote[3669].end 15428.75909375
transcript.pyannote[3670].speaker SPEAKER_16
transcript.pyannote[3670].start 15428.40471875
transcript.pyannote[3670].end 15433.38284375
transcript.pyannote[3671].speaker SPEAKER_16
transcript.pyannote[3671].start 15434.27721875
transcript.pyannote[3671].end 15435.77909375
transcript.pyannote[3672].speaker SPEAKER_16
transcript.pyannote[3672].start 15436.57221875
transcript.pyannote[3672].end 15437.12909375
transcript.pyannote[3673].speaker SPEAKER_36
transcript.pyannote[3673].start 15437.12909375
transcript.pyannote[3673].end 15437.21346875
transcript.pyannote[3674].speaker SPEAKER_16
transcript.pyannote[3674].start 15437.21346875
transcript.pyannote[3674].end 15437.34846875
transcript.pyannote[3675].speaker SPEAKER_36
transcript.pyannote[3675].start 15437.34846875
transcript.pyannote[3675].end 15437.70284375
transcript.pyannote[3676].speaker SPEAKER_16
transcript.pyannote[3676].start 15437.70284375
transcript.pyannote[3676].end 15437.78721875
transcript.pyannote[3677].speaker SPEAKER_36
transcript.pyannote[3677].start 15437.78721875
transcript.pyannote[3677].end 15437.88846875
transcript.pyannote[3678].speaker SPEAKER_16
transcript.pyannote[3678].start 15437.88846875
transcript.pyannote[3678].end 15437.93909375
transcript.pyannote[3679].speaker SPEAKER_36
transcript.pyannote[3679].start 15437.93909375
transcript.pyannote[3679].end 15437.95596875
transcript.pyannote[3680].speaker SPEAKER_16
transcript.pyannote[3680].start 15437.95596875
transcript.pyannote[3680].end 15438.00659375
transcript.pyannote[3681].speaker SPEAKER_36
transcript.pyannote[3681].start 15438.00659375
transcript.pyannote[3681].end 15438.17534375
transcript.pyannote[3682].speaker SPEAKER_16
transcript.pyannote[3682].start 15438.17534375
transcript.pyannote[3682].end 15438.37784375
transcript.pyannote[3683].speaker SPEAKER_36
transcript.pyannote[3683].start 15438.37784375
transcript.pyannote[3683].end 15438.93471875
transcript.pyannote[3684].speaker SPEAKER_16
transcript.pyannote[3684].start 15438.93471875
transcript.pyannote[3684].end 15438.96846875
transcript.pyannote[3685].speaker SPEAKER_16
transcript.pyannote[3685].start 15439.30596875
transcript.pyannote[3685].end 15440.25096875
transcript.pyannote[3686].speaker SPEAKER_16
transcript.pyannote[3686].start 15440.87534375
transcript.pyannote[3686].end 15445.04346875
transcript.pyannote[3687].speaker SPEAKER_36
transcript.pyannote[3687].start 15445.04346875
transcript.pyannote[3687].end 15445.17846875
transcript.pyannote[3688].speaker SPEAKER_36
transcript.pyannote[3688].start 15445.22909375
transcript.pyannote[3688].end 15445.33034375
transcript.pyannote[3689].speaker SPEAKER_16
transcript.pyannote[3689].start 15445.33034375
transcript.pyannote[3689].end 15447.15284375
transcript.pyannote[3690].speaker SPEAKER_33
transcript.pyannote[3690].start 15447.15284375
transcript.pyannote[3690].end 15447.62534375
transcript.pyannote[3691].speaker SPEAKER_16
transcript.pyannote[3691].start 15447.47346875
transcript.pyannote[3691].end 15449.17784375
transcript.pyannote[3692].speaker SPEAKER_33
transcript.pyannote[3692].start 15449.17784375
transcript.pyannote[3692].end 15449.63346875
transcript.pyannote[3693].speaker SPEAKER_16
transcript.pyannote[3693].start 15449.63346875
transcript.pyannote[3693].end 15450.10596875
transcript.pyannote[3694].speaker SPEAKER_16
transcript.pyannote[3694].start 15450.40971875
transcript.pyannote[3694].end 15452.23221875
transcript.pyannote[3695].speaker SPEAKER_33
transcript.pyannote[3695].start 15452.23221875
transcript.pyannote[3695].end 15452.43471875
transcript.pyannote[3696].speaker SPEAKER_16
transcript.pyannote[3696].start 15452.72159375
transcript.pyannote[3696].end 15453.78471875
transcript.pyannote[3697].speaker SPEAKER_16
transcript.pyannote[3697].start 15454.37534375
transcript.pyannote[3697].end 15457.02471875
transcript.pyannote[3698].speaker SPEAKER_16
transcript.pyannote[3698].start 15457.51409375
transcript.pyannote[3698].end 15457.83471875
transcript.pyannote[3699].speaker SPEAKER_36
transcript.pyannote[3699].start 15457.83471875
transcript.pyannote[3699].end 15459.72471875
transcript.pyannote[3700].speaker SPEAKER_16
transcript.pyannote[3700].start 15459.70784375
transcript.pyannote[3700].end 15469.68096875
transcript.pyannote[3701].speaker SPEAKER_36
transcript.pyannote[3701].start 15460.06221875
transcript.pyannote[3701].end 15460.68659375
transcript.pyannote[3702].speaker SPEAKER_36
transcript.pyannote[3702].start 15461.17596875
transcript.pyannote[3702].end 15461.68221875
transcript.pyannote[3703].speaker SPEAKER_16
transcript.pyannote[3703].start 15470.44034375
transcript.pyannote[3703].end 15472.75221875
transcript.pyannote[3704].speaker SPEAKER_36
transcript.pyannote[3704].start 15472.75221875
transcript.pyannote[3704].end 15473.37659375
transcript.pyannote[3705].speaker SPEAKER_16
transcript.pyannote[3705].start 15473.37659375
transcript.pyannote[3705].end 15477.91596875
transcript.pyannote[3706].speaker SPEAKER_36
transcript.pyannote[3706].start 15473.59596875
transcript.pyannote[3706].end 15474.43971875
transcript.pyannote[3707].speaker SPEAKER_16
transcript.pyannote[3707].start 15478.64159375
transcript.pyannote[3707].end 15482.40471875
transcript.pyannote[3708].speaker SPEAKER_16
transcript.pyannote[3708].start 15482.82659375
transcript.pyannote[3708].end 15485.54346875
transcript.pyannote[3709].speaker SPEAKER_16
transcript.pyannote[3709].start 15485.61096875
transcript.pyannote[3709].end 15487.99034375
transcript.pyannote[3710].speaker SPEAKER_16
transcript.pyannote[3710].start 15488.66534375
transcript.pyannote[3710].end 15492.73221875
transcript.pyannote[3711].speaker SPEAKER_36
transcript.pyannote[3711].start 15492.91784375
transcript.pyannote[3711].end 15495.01034375
transcript.pyannote[3712].speaker SPEAKER_16
transcript.pyannote[3712].start 15493.67721875
transcript.pyannote[3712].end 15494.06534375
transcript.pyannote[3713].speaker SPEAKER_16
transcript.pyannote[3713].start 15495.01034375
transcript.pyannote[3713].end 15497.74409375
transcript.pyannote[3714].speaker SPEAKER_36
transcript.pyannote[3714].start 15496.63034375
transcript.pyannote[3714].end 15498.11534375
transcript.pyannote[3715].speaker SPEAKER_36
transcript.pyannote[3715].start 15498.75659375
transcript.pyannote[3715].end 15498.77346875
transcript.pyannote[3716].speaker SPEAKER_11
transcript.pyannote[3716].start 15509.18534375
transcript.pyannote[3716].end 15513.30284375
transcript.pyannote[3717].speaker SPEAKER_11
transcript.pyannote[3717].start 15513.82596875
transcript.pyannote[3717].end 15516.49221875
transcript.pyannote[3718].speaker SPEAKER_11
transcript.pyannote[3718].start 15517.09971875
transcript.pyannote[3718].end 15520.05284375
transcript.pyannote[3719].speaker SPEAKER_11
transcript.pyannote[3719].start 15520.44096875
transcript.pyannote[3719].end 15523.81596875
transcript.pyannote[3720].speaker SPEAKER_11
transcript.pyannote[3720].start 15524.37284375
transcript.pyannote[3720].end 15526.27971875
transcript.pyannote[3721].speaker SPEAKER_32
transcript.pyannote[3721].start 15535.69596875
transcript.pyannote[3721].end 15538.15971875
transcript.pyannote[3722].speaker SPEAKER_11
transcript.pyannote[3722].start 15538.15971875
transcript.pyannote[3722].end 15538.78409375
transcript.pyannote[3723].speaker SPEAKER_36
transcript.pyannote[3723].start 15544.70721875
transcript.pyannote[3723].end 15545.33159375
transcript.pyannote[3724].speaker SPEAKER_32
transcript.pyannote[3724].start 15546.66471875
transcript.pyannote[3724].end 15562.22346875
transcript.pyannote[3725].speaker SPEAKER_32
transcript.pyannote[3725].start 15562.39221875
transcript.pyannote[3725].end 15574.10346875
transcript.pyannote[3726].speaker SPEAKER_00
transcript.pyannote[3726].start 15563.26971875
transcript.pyannote[3726].end 15566.25659375
transcript.pyannote[3727].speaker SPEAKER_00
transcript.pyannote[3727].start 15568.73721875
transcript.pyannote[3727].end 15569.19284375
transcript.pyannote[3728].speaker SPEAKER_32
transcript.pyannote[3728].start 15574.18784375
transcript.pyannote[3728].end 15642.98721875
transcript.pyannote[3729].speaker SPEAKER_32
transcript.pyannote[3729].start 15643.59471875
transcript.pyannote[3729].end 15661.34721875
transcript.pyannote[3730].speaker SPEAKER_36
transcript.pyannote[3730].start 15661.76909375
transcript.pyannote[3730].end 15666.91596875
transcript.pyannote[3731].speaker SPEAKER_36
transcript.pyannote[3731].start 15667.25346875
transcript.pyannote[3731].end 15669.04221875
transcript.pyannote[3732].speaker SPEAKER_36
transcript.pyannote[3732].start 15669.36284375
transcript.pyannote[3732].end 15670.18971875
transcript.pyannote[3733].speaker SPEAKER_36
transcript.pyannote[3733].start 15670.40909375
transcript.pyannote[3733].end 15673.32846875
transcript.pyannote[3734].speaker SPEAKER_36
transcript.pyannote[3734].start 15674.30721875
transcript.pyannote[3734].end 15688.73534375
transcript.pyannote[3735].speaker SPEAKER_00
transcript.pyannote[3735].start 15676.83846875
transcript.pyannote[3735].end 15677.02409375
transcript.pyannote[3736].speaker SPEAKER_17
transcript.pyannote[3736].start 15677.02409375
transcript.pyannote[3736].end 15677.32784375
transcript.pyannote[3737].speaker SPEAKER_00
transcript.pyannote[3737].start 15677.32784375
transcript.pyannote[3737].end 15677.42909375
transcript.pyannote[3738].speaker SPEAKER_00
transcript.pyannote[3738].start 15678.22221875
transcript.pyannote[3738].end 15678.27284375
transcript.pyannote[3739].speaker SPEAKER_17
transcript.pyannote[3739].start 15678.27284375
transcript.pyannote[3739].end 15678.62721875
transcript.pyannote[3740].speaker SPEAKER_00
transcript.pyannote[3740].start 15678.62721875
transcript.pyannote[3740].end 15678.71159375
transcript.pyannote[3741].speaker SPEAKER_36
transcript.pyannote[3741].start 15688.92096875
transcript.pyannote[3741].end 15698.11784375
transcript.pyannote[3742].speaker SPEAKER_36
transcript.pyannote[3742].start 15698.53971875
transcript.pyannote[3742].end 15701.18909375
transcript.pyannote[3743].speaker SPEAKER_36
transcript.pyannote[3743].start 15701.54346875
transcript.pyannote[3743].end 15710.92596875
transcript.pyannote[3744].speaker SPEAKER_36
transcript.pyannote[3744].start 15711.21284375
transcript.pyannote[3744].end 15717.76034375
transcript.pyannote[3745].speaker SPEAKER_36
transcript.pyannote[3745].start 15718.16534375
transcript.pyannote[3745].end 15738.49971875
transcript.pyannote[3746].speaker SPEAKER_00
transcript.pyannote[3746].start 15726.18096875
transcript.pyannote[3746].end 15726.23159375
transcript.pyannote[3747].speaker SPEAKER_35
transcript.pyannote[3747].start 15726.23159375
transcript.pyannote[3747].end 15726.24846875
transcript.pyannote[3748].speaker SPEAKER_39
transcript.pyannote[3748].start 15726.24846875
transcript.pyannote[3748].end 15727.07534375
transcript.pyannote[3749].speaker SPEAKER_39
transcript.pyannote[3749].start 15727.27784375
transcript.pyannote[3749].end 15727.90221875
transcript.pyannote[3750].speaker SPEAKER_32
transcript.pyannote[3750].start 15727.90221875
transcript.pyannote[3750].end 15727.91909375
transcript.pyannote[3751].speaker SPEAKER_32
transcript.pyannote[3751].start 15735.79971875
transcript.pyannote[3751].end 15737.40284375
transcript.pyannote[3752].speaker SPEAKER_36
transcript.pyannote[3752].start 15738.93846875
transcript.pyannote[3752].end 15740.18721875
transcript.pyannote[3753].speaker SPEAKER_32
transcript.pyannote[3753].start 15739.14096875
transcript.pyannote[3753].end 15739.54596875
transcript.pyannote[3754].speaker SPEAKER_40
transcript.pyannote[3754].start 15740.18721875
transcript.pyannote[3754].end 15740.27159375
transcript.pyannote[3755].speaker SPEAKER_36
transcript.pyannote[3755].start 15740.27159375
transcript.pyannote[3755].end 15745.94159375
transcript.pyannote[3756].speaker SPEAKER_36
transcript.pyannote[3756].start 15746.31284375
transcript.pyannote[3756].end 15748.32096875
transcript.pyannote[3757].speaker SPEAKER_32
transcript.pyannote[3757].start 15746.98784375
transcript.pyannote[3757].end 15747.52784375
transcript.pyannote[3758].speaker SPEAKER_32
transcript.pyannote[3758].start 15748.45596875
transcript.pyannote[3758].end 15780.60284375
transcript.pyannote[3759].speaker SPEAKER_32
transcript.pyannote[3759].start 15780.70409375
transcript.pyannote[3759].end 15802.50659375
transcript.pyannote[3760].speaker SPEAKER_36
transcript.pyannote[3760].start 15803.56971875
transcript.pyannote[3760].end 15803.97471875
transcript.pyannote[3761].speaker SPEAKER_36
transcript.pyannote[3761].start 15804.22784375
transcript.pyannote[3761].end 15813.79596875
transcript.pyannote[3762].speaker SPEAKER_36
transcript.pyannote[3762].start 15814.77471875
transcript.pyannote[3762].end 15819.82034375
transcript.pyannote[3763].speaker SPEAKER_36
transcript.pyannote[3763].start 15820.22534375
transcript.pyannote[3763].end 15830.65409375
transcript.pyannote[3764].speaker SPEAKER_31
transcript.pyannote[3764].start 15830.99159375
transcript.pyannote[3764].end 15831.36284375
transcript.pyannote[3765].speaker SPEAKER_36
transcript.pyannote[3765].start 15831.36284375
transcript.pyannote[3765].end 15831.37971875
transcript.pyannote[3766].speaker SPEAKER_31
transcript.pyannote[3766].start 15831.37971875
transcript.pyannote[3766].end 15832.94909375
transcript.pyannote[3767].speaker SPEAKER_36
transcript.pyannote[3767].start 15831.41346875
transcript.pyannote[3767].end 15861.78846875
transcript.pyannote[3768].speaker SPEAKER_31
transcript.pyannote[3768].start 15837.04971875
transcript.pyannote[3768].end 15837.42096875
transcript.pyannote[3769].speaker SPEAKER_32
transcript.pyannote[3769].start 15861.82221875
transcript.pyannote[3769].end 15881.70096875
transcript.pyannote[3770].speaker SPEAKER_36
transcript.pyannote[3770].start 15876.92534375
transcript.pyannote[3770].end 15877.33034375
transcript.pyannote[3771].speaker SPEAKER_36
transcript.pyannote[3771].start 15877.46534375
transcript.pyannote[3771].end 15879.10221875
transcript.pyannote[3772].speaker SPEAKER_36
transcript.pyannote[3772].start 15879.55784375
transcript.pyannote[3772].end 15879.84471875
transcript.pyannote[3773].speaker SPEAKER_36
transcript.pyannote[3773].start 15881.70096875
transcript.pyannote[3773].end 15881.85284375
transcript.pyannote[3774].speaker SPEAKER_32
transcript.pyannote[3774].start 15881.85284375
transcript.pyannote[3774].end 15882.02159375
transcript.pyannote[3775].speaker SPEAKER_36
transcript.pyannote[3775].start 15882.02159375
transcript.pyannote[3775].end 15890.69534375
transcript.pyannote[3776].speaker SPEAKER_32
transcript.pyannote[3776].start 15882.47721875
transcript.pyannote[3776].end 15882.86534375
transcript.pyannote[3777].speaker SPEAKER_32
transcript.pyannote[3777].start 15890.79659375
transcript.pyannote[3777].end 15891.50534375
transcript.pyannote[3778].speaker SPEAKER_11
transcript.pyannote[3778].start 15898.87971875
transcript.pyannote[3778].end 15905.07284375
transcript.pyannote[3779].speaker SPEAKER_11
transcript.pyannote[3779].start 15906.25409375
transcript.pyannote[3779].end 15908.81909375
transcript.pyannote[3780].speaker SPEAKER_08
transcript.pyannote[3780].start 15917.02034375
transcript.pyannote[3780].end 15920.02409375
transcript.pyannote[3781].speaker SPEAKER_08
transcript.pyannote[3781].start 15924.29346875
transcript.pyannote[3781].end 15951.04034375
transcript.pyannote[3782].speaker SPEAKER_33
transcript.pyannote[3782].start 15926.36909375
transcript.pyannote[3782].end 15926.68971875
transcript.pyannote[3783].speaker SPEAKER_36
transcript.pyannote[3783].start 15951.10784375
transcript.pyannote[3783].end 15967.37534375
transcript.pyannote[3784].speaker SPEAKER_08
transcript.pyannote[3784].start 15965.51909375
transcript.pyannote[3784].end 15965.89034375
transcript.pyannote[3785].speaker SPEAKER_08
transcript.pyannote[3785].start 15966.97034375
transcript.pyannote[3785].end 15974.96909375
transcript.pyannote[3786].speaker SPEAKER_36
transcript.pyannote[3786].start 15968.43846875
transcript.pyannote[3786].end 15969.29909375
transcript.pyannote[3787].speaker SPEAKER_36
transcript.pyannote[3787].start 15975.23909375
transcript.pyannote[3787].end 15985.87034375
transcript.pyannote[3788].speaker SPEAKER_08
transcript.pyannote[3788].start 15985.87034375
transcript.pyannote[3788].end 15988.31721875
transcript.pyannote[3789].speaker SPEAKER_36
transcript.pyannote[3789].start 15985.88721875
transcript.pyannote[3789].end 15986.00534375
transcript.pyannote[3790].speaker SPEAKER_36
transcript.pyannote[3790].start 15986.03909375
transcript.pyannote[3790].end 15986.74784375
transcript.pyannote[3791].speaker SPEAKER_08
transcript.pyannote[3791].start 15988.62096875
transcript.pyannote[3791].end 16010.92971875
transcript.pyannote[3792].speaker SPEAKER_36
transcript.pyannote[3792].start 15995.06721875
transcript.pyannote[3792].end 15995.82659375
transcript.pyannote[3793].speaker SPEAKER_36
transcript.pyannote[3793].start 16008.65159375
transcript.pyannote[3793].end 16009.46159375
transcript.pyannote[3794].speaker SPEAKER_36
transcript.pyannote[3794].start 16011.46971875
transcript.pyannote[3794].end 16018.92846875
transcript.pyannote[3795].speaker SPEAKER_08
transcript.pyannote[3795].start 16019.19846875
transcript.pyannote[3795].end 16022.92784375
transcript.pyannote[3796].speaker SPEAKER_36
transcript.pyannote[3796].start 16021.89846875
transcript.pyannote[3796].end 16025.74596875
transcript.pyannote[3797].speaker SPEAKER_08
transcript.pyannote[3797].start 16024.71659375
transcript.pyannote[3797].end 16036.00596875
transcript.pyannote[3798].speaker SPEAKER_36
transcript.pyannote[3798].start 16026.18471875
transcript.pyannote[3798].end 16026.26909375
transcript.pyannote[3799].speaker SPEAKER_36
transcript.pyannote[3799].start 16036.00596875
transcript.pyannote[3799].end 16037.18721875
transcript.pyannote[3800].speaker SPEAKER_08
transcript.pyannote[3800].start 16037.18721875
transcript.pyannote[3800].end 16089.83721875
transcript.pyannote[3801].speaker SPEAKER_36
transcript.pyannote[3801].start 16037.87909375
transcript.pyannote[3801].end 16040.39346875
transcript.pyannote[3802].speaker SPEAKER_00
transcript.pyannote[3802].start 16048.27409375
transcript.pyannote[3802].end 16049.55659375
transcript.pyannote[3803].speaker SPEAKER_33
transcript.pyannote[3803].start 16085.46659375
transcript.pyannote[3803].end 16085.48346875
transcript.pyannote[3804].speaker SPEAKER_36
transcript.pyannote[3804].start 16085.48346875
transcript.pyannote[3804].end 16085.83784375
transcript.pyannote[3805].speaker SPEAKER_36
transcript.pyannote[3805].start 16090.07346875
transcript.pyannote[3805].end 16101.54846875
transcript.pyannote[3806].speaker SPEAKER_08
transcript.pyannote[3806].start 16101.54846875
transcript.pyannote[3806].end 16101.64971875
transcript.pyannote[3807].speaker SPEAKER_36
transcript.pyannote[3807].start 16101.64971875
transcript.pyannote[3807].end 16103.11784375
transcript.pyannote[3808].speaker SPEAKER_08
transcript.pyannote[3808].start 16102.17284375
transcript.pyannote[3808].end 16113.09096875
transcript.pyannote[3809].speaker SPEAKER_36
transcript.pyannote[3809].start 16113.81659375
transcript.pyannote[3809].end 16121.00534375
transcript.pyannote[3810].speaker SPEAKER_08
transcript.pyannote[3810].start 16119.25034375
transcript.pyannote[3810].end 16126.55721875
transcript.pyannote[3811].speaker SPEAKER_36
transcript.pyannote[3811].start 16127.45159375
transcript.pyannote[3811].end 16128.97034375
transcript.pyannote[3812].speaker SPEAKER_08
transcript.pyannote[3812].start 16128.97034375
transcript.pyannote[3812].end 16134.21846875
transcript.pyannote[3813].speaker SPEAKER_36
transcript.pyannote[3813].start 16128.98721875
transcript.pyannote[3813].end 16129.78034375
transcript.pyannote[3814].speaker SPEAKER_36
transcript.pyannote[3814].start 16135.06221875
transcript.pyannote[3814].end 16136.19284375
transcript.pyannote[3815].speaker SPEAKER_36
transcript.pyannote[3815].start 16137.01971875
transcript.pyannote[3815].end 16141.59284375
transcript.pyannote[3816].speaker SPEAKER_08
transcript.pyannote[3816].start 16139.50034375
transcript.pyannote[3816].end 16139.90534375
transcript.pyannote[3817].speaker SPEAKER_36
transcript.pyannote[3817].start 16142.35221875
transcript.pyannote[3817].end 16143.24659375
transcript.pyannote[3818].speaker SPEAKER_36
transcript.pyannote[3818].start 16143.75284375
transcript.pyannote[3818].end 16148.41034375
transcript.pyannote[3819].speaker SPEAKER_08
transcript.pyannote[3819].start 16143.76971875
transcript.pyannote[3819].end 16146.03096875
transcript.pyannote[3820].speaker SPEAKER_08
transcript.pyannote[3820].start 16147.00971875
transcript.pyannote[3820].end 16162.21409375
transcript.pyannote[3821].speaker SPEAKER_33
transcript.pyannote[3821].start 16162.21409375
transcript.pyannote[3821].end 16162.68659375
transcript.pyannote[3822].speaker SPEAKER_11
transcript.pyannote[3822].start 16167.93471875
transcript.pyannote[3822].end 16170.31409375
transcript.pyannote[3823].speaker SPEAKER_11
transcript.pyannote[3823].start 16174.24596875
transcript.pyannote[3823].end 16174.26284375
transcript.pyannote[3824].speaker SPEAKER_18
transcript.pyannote[3824].start 16174.26284375
transcript.pyannote[3824].end 16174.80284375
transcript.pyannote[3825].speaker SPEAKER_18
transcript.pyannote[3825].start 16177.65471875
transcript.pyannote[3825].end 16180.03409375
transcript.pyannote[3826].speaker SPEAKER_18
transcript.pyannote[3826].start 16181.01284375
transcript.pyannote[3826].end 16184.89409375
transcript.pyannote[3827].speaker SPEAKER_03
transcript.pyannote[3827].start 16184.15159375
transcript.pyannote[3827].end 16184.55659375
transcript.pyannote[3828].speaker SPEAKER_18
transcript.pyannote[3828].start 16185.28221875
transcript.pyannote[3828].end 16185.67034375
transcript.pyannote[3829].speaker SPEAKER_18
transcript.pyannote[3829].start 16188.18471875
transcript.pyannote[3829].end 16188.70784375
transcript.pyannote[3830].speaker SPEAKER_18
transcript.pyannote[3830].start 16189.36596875
transcript.pyannote[3830].end 16210.57784375
transcript.pyannote[3831].speaker SPEAKER_03
transcript.pyannote[3831].start 16189.51784375
transcript.pyannote[3831].end 16189.99034375
transcript.pyannote[3832].speaker SPEAKER_03
transcript.pyannote[3832].start 16192.50471875
transcript.pyannote[3832].end 16193.02784375
transcript.pyannote[3833].speaker SPEAKER_00
transcript.pyannote[3833].start 16197.58409375
transcript.pyannote[3833].end 16198.17471875
transcript.pyannote[3834].speaker SPEAKER_00
transcript.pyannote[3834].start 16198.27596875
transcript.pyannote[3834].end 16198.73159375
transcript.pyannote[3835].speaker SPEAKER_00
transcript.pyannote[3835].start 16201.29659375
transcript.pyannote[3835].end 16201.73534375
transcript.pyannote[3836].speaker SPEAKER_00
transcript.pyannote[3836].start 16203.06846875
transcript.pyannote[3836].end 16203.59159375
transcript.pyannote[3837].speaker SPEAKER_00
transcript.pyannote[3837].start 16203.92909375
transcript.pyannote[3837].end 16203.97971875
transcript.pyannote[3838].speaker SPEAKER_18
transcript.pyannote[3838].start 16210.89846875
transcript.pyannote[3838].end 16218.45846875
transcript.pyannote[3839].speaker SPEAKER_18
transcript.pyannote[3839].start 16218.50909375
transcript.pyannote[3839].end 16219.89284375
transcript.pyannote[3840].speaker SPEAKER_18
transcript.pyannote[3840].start 16220.33159375
transcript.pyannote[3840].end 16222.22159375
transcript.pyannote[3841].speaker SPEAKER_18
transcript.pyannote[3841].start 16222.59284375
transcript.pyannote[3841].end 16226.08596875
transcript.pyannote[3842].speaker SPEAKER_18
transcript.pyannote[3842].start 16226.42346875
transcript.pyannote[3842].end 16228.87034375
transcript.pyannote[3843].speaker SPEAKER_36
transcript.pyannote[3843].start 16229.52846875
transcript.pyannote[3843].end 16234.52346875
transcript.pyannote[3844].speaker SPEAKER_36
transcript.pyannote[3844].start 16235.21534375
transcript.pyannote[3844].end 16236.61596875
transcript.pyannote[3845].speaker SPEAKER_36
transcript.pyannote[3845].start 16237.20659375
transcript.pyannote[3845].end 16238.75909375
transcript.pyannote[3846].speaker SPEAKER_18
transcript.pyannote[3846].start 16239.36659375
transcript.pyannote[3846].end 16240.29471875
transcript.pyannote[3847].speaker SPEAKER_36
transcript.pyannote[3847].start 16240.27784375
transcript.pyannote[3847].end 16241.45909375
transcript.pyannote[3848].speaker SPEAKER_18
transcript.pyannote[3848].start 16240.71659375
transcript.pyannote[3848].end 16245.49221875
transcript.pyannote[3849].speaker SPEAKER_36
transcript.pyannote[3849].start 16245.01971875
transcript.pyannote[3849].end 16245.32346875
transcript.pyannote[3850].speaker SPEAKER_36
transcript.pyannote[3850].start 16245.49221875
transcript.pyannote[3850].end 16245.77909375
transcript.pyannote[3851].speaker SPEAKER_18
transcript.pyannote[3851].start 16245.77909375
transcript.pyannote[3851].end 16254.43596875
transcript.pyannote[3852].speaker SPEAKER_36
transcript.pyannote[3852].start 16246.18409375
transcript.pyannote[3852].end 16246.26846875
transcript.pyannote[3853].speaker SPEAKER_36
transcript.pyannote[3853].start 16246.53846875
transcript.pyannote[3853].end 16246.60596875
transcript.pyannote[3854].speaker SPEAKER_18
transcript.pyannote[3854].start 16255.22909375
transcript.pyannote[3854].end 16258.82346875
transcript.pyannote[3855].speaker SPEAKER_36
transcript.pyannote[3855].start 16255.85346875
transcript.pyannote[3855].end 16256.25846875
transcript.pyannote[3856].speaker SPEAKER_36
transcript.pyannote[3856].start 16258.82346875
transcript.pyannote[3856].end 16258.85721875
transcript.pyannote[3857].speaker SPEAKER_36
transcript.pyannote[3857].start 16259.22846875
transcript.pyannote[3857].end 16265.89409375
transcript.pyannote[3858].speaker SPEAKER_18
transcript.pyannote[3858].start 16265.33721875
transcript.pyannote[3858].end 16272.66096875
transcript.pyannote[3859].speaker SPEAKER_36
transcript.pyannote[3859].start 16266.41721875
transcript.pyannote[3859].end 16266.51846875
transcript.pyannote[3860].speaker SPEAKER_36
transcript.pyannote[3860].start 16271.24346875
transcript.pyannote[3860].end 16275.58034375
transcript.pyannote[3861].speaker SPEAKER_36
transcript.pyannote[3861].start 16275.79971875
transcript.pyannote[3861].end 16283.14034375
transcript.pyannote[3862].speaker SPEAKER_18
transcript.pyannote[3862].start 16282.26284375
transcript.pyannote[3862].end 16285.55346875
transcript.pyannote[3863].speaker SPEAKER_36
transcript.pyannote[3863].start 16284.87846875
transcript.pyannote[3863].end 16285.01346875
transcript.pyannote[3864].speaker SPEAKER_36
transcript.pyannote[3864].start 16285.03034375
transcript.pyannote[3864].end 16285.06409375
transcript.pyannote[3865].speaker SPEAKER_36
transcript.pyannote[3865].start 16285.28346875
transcript.pyannote[3865].end 16294.39596875
transcript.pyannote[3866].speaker SPEAKER_18
transcript.pyannote[3866].start 16288.60784375
transcript.pyannote[3866].end 16288.92846875
transcript.pyannote[3867].speaker SPEAKER_18
transcript.pyannote[3867].start 16290.90284375
transcript.pyannote[3867].end 16292.55659375
transcript.pyannote[3868].speaker SPEAKER_18
transcript.pyannote[3868].start 16294.10909375
transcript.pyannote[3868].end 16300.13346875
transcript.pyannote[3869].speaker SPEAKER_36
transcript.pyannote[3869].start 16299.89721875
transcript.pyannote[3869].end 16302.74909375
transcript.pyannote[3870].speaker SPEAKER_36
transcript.pyannote[3870].start 16303.03596875
transcript.pyannote[3870].end 16306.39409375
transcript.pyannote[3871].speaker SPEAKER_18
transcript.pyannote[3871].start 16303.06971875
transcript.pyannote[3871].end 16308.72284375
transcript.pyannote[3872].speaker SPEAKER_36
transcript.pyannote[3872].start 16308.41909375
transcript.pyannote[3872].end 16308.53721875
transcript.pyannote[3873].speaker SPEAKER_36
transcript.pyannote[3873].start 16308.72284375
transcript.pyannote[3873].end 16309.02659375
transcript.pyannote[3874].speaker SPEAKER_18
transcript.pyannote[3874].start 16309.02659375
transcript.pyannote[3874].end 16314.02159375
transcript.pyannote[3875].speaker SPEAKER_18
transcript.pyannote[3875].start 16314.30846875
transcript.pyannote[3875].end 16320.24846875
transcript.pyannote[3876].speaker SPEAKER_18
transcript.pyannote[3876].start 16320.70409375
transcript.pyannote[3876].end 16329.81659375
transcript.pyannote[3877].speaker SPEAKER_18
transcript.pyannote[3877].start 16330.44096875
transcript.pyannote[3877].end 16330.98096875
transcript.pyannote[3878].speaker SPEAKER_18
transcript.pyannote[3878].start 16331.30159375
transcript.pyannote[3878].end 16335.03096875
transcript.pyannote[3879].speaker SPEAKER_18
transcript.pyannote[3879].start 16335.53721875
transcript.pyannote[3879].end 16336.04346875
transcript.pyannote[3880].speaker SPEAKER_18
transcript.pyannote[3880].start 16336.97159375
transcript.pyannote[3880].end 16348.71659375
transcript.pyannote[3881].speaker SPEAKER_18
transcript.pyannote[3881].start 16349.23971875
transcript.pyannote[3881].end 16350.47159375
transcript.pyannote[3882].speaker SPEAKER_18
transcript.pyannote[3882].start 16350.89346875
transcript.pyannote[3882].end 16353.98159375
transcript.pyannote[3883].speaker SPEAKER_18
transcript.pyannote[3883].start 16354.82534375
transcript.pyannote[3883].end 16370.02971875
transcript.pyannote[3884].speaker SPEAKER_00
transcript.pyannote[3884].start 16354.96034375
transcript.pyannote[3884].end 16355.73659375
transcript.pyannote[3885].speaker SPEAKER_18
transcript.pyannote[3885].start 16370.16471875
transcript.pyannote[3885].end 16373.40471875
transcript.pyannote[3886].speaker SPEAKER_18
transcript.pyannote[3886].start 16373.64096875
transcript.pyannote[3886].end 16374.31596875
transcript.pyannote[3887].speaker SPEAKER_43
transcript.pyannote[3887].start 16374.14721875
transcript.pyannote[3887].end 16374.29909375
transcript.pyannote[3888].speaker SPEAKER_43
transcript.pyannote[3888].start 16374.31596875
transcript.pyannote[3888].end 16375.02471875
transcript.pyannote[3889].speaker SPEAKER_18
transcript.pyannote[3889].start 16375.78409375
transcript.pyannote[3889].end 16375.80096875
transcript.pyannote[3890].speaker SPEAKER_43
transcript.pyannote[3890].start 16375.80096875
transcript.pyannote[3890].end 16376.07096875
transcript.pyannote[3891].speaker SPEAKER_43
transcript.pyannote[3891].start 16376.35784375
transcript.pyannote[3891].end 16381.43721875
transcript.pyannote[3892].speaker SPEAKER_43
transcript.pyannote[3892].start 16381.74096875
transcript.pyannote[3892].end 16386.33096875
transcript.pyannote[3893].speaker SPEAKER_43
transcript.pyannote[3893].start 16386.65159375
transcript.pyannote[3893].end 16398.29534375
transcript.pyannote[3894].speaker SPEAKER_18
transcript.pyannote[3894].start 16393.51971875
transcript.pyannote[3894].end 16396.27034375
transcript.pyannote[3895].speaker SPEAKER_43
transcript.pyannote[3895].start 16398.61596875
transcript.pyannote[3895].end 16402.51409375
transcript.pyannote[3896].speaker SPEAKER_43
transcript.pyannote[3896].start 16402.86846875
transcript.pyannote[3896].end 16405.48409375
transcript.pyannote[3897].speaker SPEAKER_43
transcript.pyannote[3897].start 16405.97346875
transcript.pyannote[3897].end 16411.69409375
transcript.pyannote[3898].speaker SPEAKER_43
transcript.pyannote[3898].start 16412.08221875
transcript.pyannote[3898].end 16417.61721875
transcript.pyannote[3899].speaker SPEAKER_43
transcript.pyannote[3899].start 16417.97159375
transcript.pyannote[3899].end 16421.53221875
transcript.pyannote[3900].speaker SPEAKER_43
transcript.pyannote[3900].start 16421.75159375
transcript.pyannote[3900].end 16422.49409375
transcript.pyannote[3901].speaker SPEAKER_43
transcript.pyannote[3901].start 16422.64596875
transcript.pyannote[3901].end 16428.33284375
transcript.pyannote[3902].speaker SPEAKER_18
transcript.pyannote[3902].start 16428.90659375
transcript.pyannote[3902].end 16438.54221875
transcript.pyannote[3903].speaker SPEAKER_18
transcript.pyannote[3903].start 16439.20034375
transcript.pyannote[3903].end 16442.22096875
transcript.pyannote[3904].speaker SPEAKER_18
transcript.pyannote[3904].start 16442.67659375
transcript.pyannote[3904].end 16451.14784375
transcript.pyannote[3905].speaker SPEAKER_18
transcript.pyannote[3905].start 16451.94096875
transcript.pyannote[3905].end 16452.70034375
transcript.pyannote[3906].speaker SPEAKER_18
transcript.pyannote[3906].start 16453.18971875
transcript.pyannote[3906].end 16457.45909375
transcript.pyannote[3907].speaker SPEAKER_18
transcript.pyannote[3907].start 16458.23534375
transcript.pyannote[3907].end 16458.79221875
transcript.pyannote[3908].speaker SPEAKER_18
transcript.pyannote[3908].start 16458.94409375
transcript.pyannote[3908].end 16461.77909375
transcript.pyannote[3909].speaker SPEAKER_18
transcript.pyannote[3909].start 16462.58909375
transcript.pyannote[3909].end 16463.63534375
transcript.pyannote[3910].speaker SPEAKER_18
transcript.pyannote[3910].start 16464.27659375
transcript.pyannote[3910].end 16467.16221875
transcript.pyannote[3911].speaker SPEAKER_18
transcript.pyannote[3911].start 16467.58409375
transcript.pyannote[3911].end 16467.95534375
transcript.pyannote[3912].speaker SPEAKER_18
transcript.pyannote[3912].start 16468.68096875
transcript.pyannote[3912].end 16468.88346875
transcript.pyannote[3913].speaker SPEAKER_36
transcript.pyannote[3913].start 16468.88346875
transcript.pyannote[3913].end 16474.46909375
transcript.pyannote[3914].speaker SPEAKER_18
transcript.pyannote[3914].start 16470.26721875
transcript.pyannote[3914].end 16471.33034375
transcript.pyannote[3915].speaker SPEAKER_36
transcript.pyannote[3915].start 16475.27909375
transcript.pyannote[3915].end 16476.44346875
transcript.pyannote[3916].speaker SPEAKER_36
transcript.pyannote[3916].start 16477.05096875
transcript.pyannote[3916].end 16478.45159375
transcript.pyannote[3917].speaker SPEAKER_36
transcript.pyannote[3917].start 16478.75534375
transcript.pyannote[3917].end 16480.94909375
transcript.pyannote[3918].speaker SPEAKER_18
transcript.pyannote[3918].start 16479.24471875
transcript.pyannote[3918].end 16494.48284375
transcript.pyannote[3919].speaker SPEAKER_36
transcript.pyannote[3919].start 16486.75409375
transcript.pyannote[3919].end 16487.93534375
transcript.pyannote[3920].speaker SPEAKER_00
transcript.pyannote[3920].start 16487.93534375
transcript.pyannote[3920].end 16487.95221875
transcript.pyannote[3921].speaker SPEAKER_36
transcript.pyannote[3921].start 16490.41596875
transcript.pyannote[3921].end 16490.82096875
transcript.pyannote[3922].speaker SPEAKER_36
transcript.pyannote[3922].start 16492.72784375
transcript.pyannote[3922].end 16493.09909375
transcript.pyannote[3923].speaker SPEAKER_18
transcript.pyannote[3923].start 16495.19159375
transcript.pyannote[3923].end 16497.80721875
transcript.pyannote[3924].speaker SPEAKER_36
transcript.pyannote[3924].start 16496.23784375
transcript.pyannote[3924].end 16496.52471875
transcript.pyannote[3925].speaker SPEAKER_36
transcript.pyannote[3925].start 16497.80721875
transcript.pyannote[3925].end 16501.06409375
transcript.pyannote[3926].speaker SPEAKER_18
transcript.pyannote[3926].start 16497.84096875
transcript.pyannote[3926].end 16497.89159375
transcript.pyannote[3927].speaker SPEAKER_36
transcript.pyannote[3927].start 16501.72221875
transcript.pyannote[3927].end 16512.47159375
transcript.pyannote[3928].speaker SPEAKER_36
transcript.pyannote[3928].start 16512.85971875
transcript.pyannote[3928].end 16518.58034375
transcript.pyannote[3929].speaker SPEAKER_18
transcript.pyannote[3929].start 16518.78284375
transcript.pyannote[3929].end 16527.59159375
transcript.pyannote[3930].speaker SPEAKER_39
transcript.pyannote[3930].start 16526.30909375
transcript.pyannote[3930].end 16526.96721875
transcript.pyannote[3931].speaker SPEAKER_33
transcript.pyannote[3931].start 16526.96721875
transcript.pyannote[3931].end 16527.32159375
transcript.pyannote[3932].speaker SPEAKER_39
transcript.pyannote[3932].start 16527.32159375
transcript.pyannote[3932].end 16527.33846875
transcript.pyannote[3933].speaker SPEAKER_18
transcript.pyannote[3933].start 16527.77721875
transcript.pyannote[3933].end 16538.25659375
transcript.pyannote[3934].speaker SPEAKER_18
transcript.pyannote[3934].start 16538.50971875
transcript.pyannote[3934].end 16543.18409375
transcript.pyannote[3935].speaker SPEAKER_18
transcript.pyannote[3935].start 16543.31909375
transcript.pyannote[3935].end 16543.75784375
transcript.pyannote[3936].speaker SPEAKER_18
transcript.pyannote[3936].start 16544.46659375
transcript.pyannote[3936].end 16547.52096875
transcript.pyannote[3937].speaker SPEAKER_36
transcript.pyannote[3937].start 16548.22971875
transcript.pyannote[3937].end 16552.75221875
transcript.pyannote[3938].speaker SPEAKER_18
transcript.pyannote[3938].start 16551.28409375
transcript.pyannote[3938].end 16555.03034375
transcript.pyannote[3939].speaker SPEAKER_36
transcript.pyannote[3939].start 16554.32159375
transcript.pyannote[3939].end 16554.97971875
transcript.pyannote[3940].speaker SPEAKER_36
transcript.pyannote[3940].start 16555.03034375
transcript.pyannote[3940].end 16555.95846875
transcript.pyannote[3941].speaker SPEAKER_36
transcript.pyannote[3941].start 16556.22846875
transcript.pyannote[3941].end 16556.38034375
transcript.pyannote[3942].speaker SPEAKER_18
transcript.pyannote[3942].start 16556.38034375
transcript.pyannote[3942].end 16558.79346875
transcript.pyannote[3943].speaker SPEAKER_36
transcript.pyannote[3943].start 16556.97096875
transcript.pyannote[3943].end 16557.57846875
transcript.pyannote[3944].speaker SPEAKER_18
transcript.pyannote[3944].start 16559.29971875
transcript.pyannote[3944].end 16559.40096875
transcript.pyannote[3945].speaker SPEAKER_18
transcript.pyannote[3945].start 16560.58221875
transcript.pyannote[3945].end 16561.20659375
transcript.pyannote[3946].speaker SPEAKER_11
transcript.pyannote[3946].start 16566.47159375
transcript.pyannote[3946].end 16572.36096875
transcript.pyannote[3947].speaker SPEAKER_11
transcript.pyannote[3947].start 16572.78284375
transcript.pyannote[3947].end 16574.01471875
transcript.pyannote[3948].speaker SPEAKER_11
transcript.pyannote[3948].start 16574.55471875
transcript.pyannote[3948].end 16578.41909375
transcript.pyannote[3949].speaker SPEAKER_11
transcript.pyannote[3949].start 16578.80721875
transcript.pyannote[3949].end 16579.78596875
transcript.pyannote[3950].speaker SPEAKER_11
transcript.pyannote[3950].start 16580.25846875
transcript.pyannote[3950].end 16585.79346875
transcript.pyannote[3951].speaker SPEAKER_11
transcript.pyannote[3951].start 16586.56971875
transcript.pyannote[3951].end 16590.34971875
transcript.pyannote[3952].speaker SPEAKER_11
transcript.pyannote[3952].start 16590.63659375
transcript.pyannote[3952].end 16591.68284375
transcript.whisperx[0].start 693.756
transcript.whisperx[0].end 694.078
transcript.whisperx[0].text 由 Amara.org 社群提供的字幕
transcript.whisperx[1].start 988.96
transcript.whisperx[1].end 989.368
transcript.whisperx[1].text 由 Amara.org 社群提供的字幕
transcript.whisperx[2].start 1244.994
transcript.whisperx[2].end 1257.975
transcript.whisperx[2].text 好 请组密报告出席人数报告委员会出席委员10人 已组法定人数好 我们现在开会进行报告事项请宣读上次会议意思录
transcript.whisperx[3].start 1258.564
transcript.whisperx[3].end 1274.553
transcript.whisperx[3].text 立法院第十一屆第四會期經濟委員會第五次全體委員會議議事錄時間114年10月20日星期一9時至12時23分地鐵紅樓101會議室初期委員陳廷飛等14人列席委員洪孟凱等12人列席人員國家發展委員會主任委員葉俊賢等
transcript.whisperx[4].start 1275.543
transcript.whisperx[4].end 1294.655
transcript.whisperx[4].text 主席楊昭景委員窮英 報告事項一 宣讀上次會議事錄 決定 確定二 邀請國家發展委員會主任委員列席報告業務概況並備質詢國家發展委員會主任委員葉俊賢報告後委員陳定非等17人提出質詢經由國家發展委員會主任委員葉俊賢等即席答覆 決定
transcript.whisperx[5].start 1295.115
transcript.whisperx[5].end 1297.878
transcript.whisperx[5].text 好那我們現在進行報告事項請宣讀邀請經濟部部長列席報告業務概況並備執行宣讀完畢
transcript.whisperx[6].start 1321.482
transcript.whisperx[6].end 1335.239
transcript.whisperx[6].text 好 我們現在來介紹在場的委員以及列席的官員我們首先經濟部長 龔明欣部長接下來我們商業發展署的蘇文嶺署長
transcript.whisperx[7].start 1336.892
transcript.whisperx[7].end 1358.505
transcript.whisperx[7].text 我們產業發展署邱求惠署長國貿署劉威廉署長能源署李君怡署長中小企業新創企業署我們的李冠志署長接下來水利署林元鵬署長 謝謝
transcript.whisperx[8].start 1361.874
transcript.whisperx[8].end 1367.702
transcript.whisperx[8].text 好 接下來智慧產產局我們的廖局長廖承蔚廖局長以及這個產業
transcript.whisperx[9].start 1371.363
transcript.whisperx[9].end 1397.351
transcript.whisperx[9].text 原區管理局局長楊智欽局長接下來標準檢驗局局長陳怡伶局長地質調查及礦業管理中心主任徐明宏 謝謝以及徐主任經貿人員培訓所代理所長李奎德理所長工商輔導中心參事監主任雲端
transcript.whisperx[10].start 1399.266
transcript.whisperx[10].end 1417.131
transcript.whisperx[10].text 雲瑞榮主任 謝謝台電公司曾文森董事長王耀廷總經理台糖公司吳明昌董事長台水公司李佳龍董事長以及中油公司方振仁董事長 謝謝
transcript.whisperx[11].start 1419.602
transcript.whisperx[11].end 1426.226
transcript.whisperx[11].text 好我們現在請這個本禮拜進的議程請經濟部業務報告我們現在請經濟部部長龔明欣部長做報告那我用
transcript.whisperx[12].start 1438.72
transcript.whisperx[12].end 1459.014
transcript.whisperx[12].text 很快的時間啦這個是來簡要的向各位報告一下進一步可能的業務那我想前一兩頁主要是國際情勢跟台灣的經濟狀況我就跳過那台灣經濟狀況整體現在算是不錯的那到第四頁那看到的就是我們整個
transcript.whisperx[13].start 1460.223
transcript.whisperx[13].end 1481.938
transcript.whisperx[13].text 经济部可能未来的实施的这个经济作为那主要大概有五大项那前面三项大概是主要产业的这个支持那第一项大概就是专门产业跟中小企业的支持五大信贷产业还有支持全球布局后面两项呢是基础工程水跟电的支持先看到下一页
transcript.whisperx[14].start 1483.188
transcript.whisperx[14].end 1507.47
transcript.whisperx[14].text 那首先呢 事實上從經濟部來講的話除了這個常規性的預算事實上還有兩位特別預算一個是因應國際形勢的460億的特別預算丹納斯颱風的187億的資金那主要的做法 丹納斯颱風主要還是在水利的店的復原那因應國際形勢主要是產業的支持包括貸款 還有升級轉型 以及海外訂單
transcript.whisperx[15].start 1508.971
transcript.whisperx[15].end 1515.783
transcript.whisperx[15].text 那請看到下一頁第6頁這個針對傳統產業跟中小微的提升的部分請看到第7頁
transcript.whisperx[16].start 1517.113
transcript.whisperx[16].end 1539.853
transcript.whisperx[16].text 那我们还是透过了这个因应情势的460亿来支持这个传统产业跟中小为企业那8月7号已经开始以往积极开始执行了那透过四大方案前两项是贷款的部分然后两项是研发补助跟争取订单那目前收的案子主要大概
transcript.whisperx[17].start 1540.413
transcript.whisperx[17].end 1555.161
transcript.whisperx[17].text 下面有四項總共大概是1286件那我們會積極來處理請看到下一頁那第八頁就是說除了特別預算之外之前對於這個中小微多元振興發展計畫已經在推動了
transcript.whisperx[18].start 1556.241
transcript.whisperx[18].end 1572.376
transcript.whisperx[18].text 到8月底為止事實上我們累積的諮詢跟輔導已經超過了15萬家那這個我們會持續來進行請看到下一頁那第九頁是投資台灣的三大方案再延長那這一次的延長主要是有下面有講到
transcript.whisperx[19].start 1573.564
transcript.whisperx[19].end 1602.464
transcript.whisperx[19].text 扩大这个预算然后还有交据在五大信贷产业扩张然后它加大着也有加大的这个优惠措施比如说新增的这个贷款额度是7200亿而且也调高了这个支付银行委办手续费的减免然后另外我们也可以提高移工的比例的上限请看到下一页第二大项就是发展五大信贷产业壮大台湾的这个科技实力那下一页
transcript.whisperx[20].start 1603.991
transcript.whisperx[20].end 1618.251
transcript.whisperx[20].text 五大信貸產業的部分我們就怎麼樣大致上的一些規劃已經完備那我們現在就積極來落實所以也有相關的KPI包括半導體 人工智慧還有自身的通訊還有軍工 還有安控請委員參考
transcript.whisperx[21].start 1620.271
transcript.whisperx[21].end 1634.189
transcript.whisperx[21].text 請看到下一頁那針對行政院推動的AI新十大建設的部分那經濟部主要負責主責主辦的有兩項一個是矽光子的技術那我們現在是希望結合產業聯盟還有
transcript.whisperx[22].start 1635.92
transcript.whisperx[22].end 1657.618
transcript.whisperx[22].text 研究法人怎么样来开发矽光纸的技术然后希望可以领先全世界把这个生态体系把它build up起来那另外一块就是百工百业的智慧应用那我们现在已经成立了产业竞争的辅导团主动的去协助中小微企业还有传统产业导入AI那请看到下一页
transcript.whisperx[23].start 1658.752
transcript.whisperx[23].end 1680.473
transcript.whisperx[23].text 那第13页的部分就是说AI方面我们对应用的人才也可以提供一些补助性的一些透过所谓的AI新旧计划那也提供了一些培训的费用的补助还有学习的奖励金的补助希望透过培训以后然后再到企业界真正的有签约落实
transcript.whisperx[24].start 1682.435
transcript.whisperx[24].end 1705.078
transcript.whisperx[24].text 那第14頁就是支持產業在立足台灣之外我們就要開始支持產業的全球佈局那在第15頁的部分我們看到了台灣事實上在全世界的這個貿易或者投資已經慢慢趨於平衡好我們看到第16頁那目前來講的話爭取海外訂單除了我們
transcript.whisperx[25].start 1705.894
transcript.whisperx[25].end 1723.136
transcript.whisperx[25].text 開始有補助廠商參加國際間的這些展會之外我們自己也辦了很多展會把客戶招到台灣來那是左邊的部分右邊的部分是全球佈局我們現在已經在捷克日本台灣也設立了台灣的貿易投資中心來
transcript.whisperx[26].start 1724.237
transcript.whisperx[26].end 1739.623
transcript.whisperx[26].text 服务我们企业那下面是说TIMA这个电电工会他们也有兴趣在墨西哥 波兰 印度 菲律宾等等设立一些科技园区我想这个部分我们政府可以跟他们来做一些合作
transcript.whisperx[27].start 1740.745
transcript.whisperx[27].end 1764.017
transcript.whisperx[27].text 好 下一頁那有關於治水的部分水的部分有分成兩個部分請看到第18頁主要是一個治水跟供水那治水的部分我們還是要系統性的治水那這個行政院已經通過在118年裡面要編列1000億的預算來補助就是縣市管河川的部分那希望可以達到最小
transcript.whisperx[28].start 1764.797
transcript.whisperx[28].end 1778.476
transcript.whisperx[28].text 淹水的面積最快的退水還有最高的安全標準那供水的部分呢還是透過了開源節流調度備源那希望可以在125年裡面我們的供給可以遠大於需求而且還有餘裕200多萬噸一天
transcript.whisperx[29].start 1781.119
transcript.whisperx[29].end 1808.006
transcript.whisperx[29].text 請看到下一頁第19頁那對於降低漏水力的部分也是經濟部重要的目標那目前我們的目標今年是可以降到11.55%我們希望在203031年的時候可以降到10請看到下一頁那剛剛提到的這個就是說水電的部分在丹納斯颱風我們有一些預算來做一些支持那另外就是
transcript.whisperx[30].start 1810.59
transcript.whisperx[30].end 1835.101
transcript.whisperx[30].text 马太安西的这个议题的部分我们也希望可以追加大概就是把那个提防加高加宽的部分就是一个超级提防希望可以追加预算40亿请看到下一页那有关于供电的部分那今年我们还是会增加这个燃气机组的部分那今年预估陆续了陆续会有
transcript.whisperx[31].start 1838.374
transcript.whisperx[31].end 1854.862
transcript.whisperx[31].text 陸續大概會有4個燃氣機組包括大潭還有興達還有台中可以增加400多萬瓦的希望可以穩定供電 下一頁多元陸年的部分雖然到2026年的目標有一些挑戰
transcript.whisperx[32].start 1855.342
transcript.whisperx[32].end 1882.307
transcript.whisperx[32].text 但是我们没有放弃还是持续来增加来进行24页的部分就是深度节能的部分那这个效果非常好就是说都已经达标而且可能超出目标那我们希望把2027年目标甚至一拉到206一度好最后接于经济部一定会跟产业站在一起也会跟百工百业作为百工百业最坚实的后盾那也希望各位委员给我们支持指教谢谢
transcript.whisperx[33].start 1883.356
transcript.whisperx[33].end 1910.949
transcript.whisperx[33].text 好 我們謝謝經濟部長鞏主委鞏部長的說明謝謝那現在我們少一個好 我們現在進行詢答委員詢答前依慣例主席來宣告本會委員發言時間本會委員6分鐘非本會委員4分鐘我們上午10點半截止發言登記首先第一位要發言的是林黛樺委員 謝謝
transcript.whisperx[34].start 1916.09
transcript.whisperx[34].end 1927.216
transcript.whisperx[34].text 林大汗委員這個發言前主席台再請教針對我們剛才議事錄的宣告有沒有問題沒有沒有那議事錄通過謝謝好有請部長請部長
transcript.whisperx[35].start 1936.032
transcript.whisperx[35].end 1964.381
transcript.whisperx[35].text 好 部長本席將針對綠電與冷能經濟要跟您做個討論這兩個是守住台灣產業生命線而且是打造南方的新引擎好 我們從這個水庫設光電板卓院長說若無法處理水質問題就不開發所以也明確地停止這四大水庫的
transcript.whisperx[36].start 1964.981
transcript.whisperx[36].end 1983.036
transcript.whisperx[36].text 光電的核准案好那這個蔡英文總統的一個想想論壇她就發言了她說這個人員政策她用了十張圖去講到我們的人員政策絕對要堅守
transcript.whisperx[37].start 1984.918
transcript.whisperx[37].end 2011.631
transcript.whisperx[37].text 那所以到底這個水庫光電的嘎然而止是對於蔡英文總統之前規劃的人員政策的一個停滯還是檢討呢這個您要不要回應一下這個是因規著不遂的
transcript.whisperx[38].start 2012.276
transcript.whisperx[38].end 2032.033
transcript.whisperx[38].text 核电的这个能源政策吗的绿能政策吗请回应报告委员院长的意思没有要停只是说民众假如有一些疑虑的话我们怎么样破除这个疑虑那尤其是这个水库设光电板那需不需要还平那这个部分也经过讨论
transcript.whisperx[39].start 2032.503
transcript.whisperx[39].end 2049.991
transcript.whisperx[39].text 那我想這些疑慮只要去除的話我們還是會持續往前好 OK所以本席要講的綠能供應有關國際競爭力沒有綠電就沒有護國神山人員轉型它不是選項而是台灣製造業能否留在台灣
transcript.whisperx[40].start 2050.811
transcript.whisperx[40].end 2077.124
transcript.whisperx[40].text 能否接國際訂單的存完的關鍵從綠電政策到冷能經濟我們必須同步推進不能偏廢而再生能源佔比現在已經到12%了而國際市場也明確將綠電比例列入供應鏈的門檻歐盟CBAN的機制更是實力所以很高興聽到部長這邊您對於蔡英文總統的
transcript.whisperx[41].start 2078.645
transcript.whisperx[41].end 2104.489
transcript.whisperx[41].text 这个能源政策尤其是再生能源政策是确定延续的吗是 报告委员因为再生能源的发展对台湾来讲它不是一个道德上的问题或环境保护的问题它是产业发展生死的问题就像您讲的因为现在全世界要求许多要求它的供应链必须要用绿电没有错我们绿电不够的话就没有办法去支撑拿到这样的订单
transcript.whisperx[42].start 2105.73
transcript.whisperx[42].end 2118.3
transcript.whisperx[42].text 所以本席也要求在環境保護無虞的情況之下綠電政策不僅不能打折扣而且政府必須即刻啟動綠電的契約保證機制確保關鍵產業取得優先綠電配額並鎖定綠電長約再者針對用電大戶
transcript.whisperx[43].start 2127.488
transcript.whisperx[43].end 2140.929
transcript.whisperx[43].text 這個的執行情形本身也要求你政府要公開目前的執行率缺口的數據與補救方案可以嗎可以可以好再來我們來延伸另外一個議題冷能經濟
transcript.whisperx[44].start 2142.071
transcript.whisperx[44].end 2156.67
transcript.whisperx[44].text 本期一直倡議國企國運國管國家隊終於在今年歷經了也感謝中油的積極跟我們交通部來規劃所以也確定了國企國運國管的國家隊
transcript.whisperx[45].start 2157.731
transcript.whisperx[45].end 2176.599
transcript.whisperx[45].text 那這個呢也確實的讓台灣有自己的人員安全隊伍確保天然氣能夠到達電力不斷電產業不斷線好那本席要延伸這個議題高雄不僅能夠用電不僅要用氣發電還要把冷能變產業
transcript.whisperx[46].start 2178.14
transcript.whisperx[46].end 2200.32
transcript.whisperx[46].text 所以當前高雄擁有全國最完整的天然氣接收站的體系從興達大林埔興達是現有的大林埔是規劃中的我也非常感謝中永董事長很重視這個區塊但是他的規他看到了這個人能經濟的釋放那我需要經濟部的大力
transcript.whisperx[47].start 2200.66
transcript.whisperx[47].end 2221.393
transcript.whisperx[47].text 支持好而且在高雄是在冷能的潛在運用量會是全台第一在再氣化的過程天然氣必須從零下162度加熱回常溫這個過程會釋出大量的冷能相當於10萬噸的冷凍空調的能源目前的冷能回收率是不到
transcript.whisperx[48].start 2222.754
transcript.whisperx[48].end 2240.391
transcript.whisperx[48].text 30%直接就排入海中這是浪費也是錯過的機會所以冷能經濟會是高雄下一個十年的戰略產業好我這邊具體幾項冷能可以再利用的產業也必須請部長在最後要回應本席是否
transcript.whisperx[49].start 2240.751
transcript.whisperx[49].end 2263.786
transcript.whisperx[49].text 支持與否 所謂支持兩項政策的支持預算的支持第一個 冷能加物流 高雄發展冷鏈經濟走廊高雄擁有全台兩座主要的接收站 興達跟大林埔高雄目前同時有台灣的水產品跟農業加工出口的重要基地根據農業部的統計每年的水產品產值1400億因為冷鏈設備不足
transcript.whisperx[50].start 2269.17
transcript.whisperx[50].end 2291.303
transcript.whisperx[50].text 耗損率高達25%到30%所以每年是虧損350億元的產值所以建議經濟部以冷能再利用這樣一個政策作為高雄新產業鏈的起點在永安接收站建置冷能回收與冷鏈示範區將在企劃的過程的冷能導入冷凍加工
transcript.whisperx[51].start 2293.084
transcript.whisperx[51].end 2308.352
transcript.whisperx[51].text 倉儲物流運輸包裝零售等五大鏈結可以節省每年超過2億度的電這是中油這個算出來的每年也為企業節省20億元的人員支出創造200億的新產值
transcript.whisperx[52].start 2309.933
transcript.whisperx[52].end 2324.233
transcript.whisperx[52].text 这不是节能而是创能人人不该排海而是该回收成经济这是第一个建议产业人人家算力发展低碳AI资料中心AI资料中心是高耗能的产业
transcript.whisperx[53].start 2325.234
transcript.whisperx[53].end 2339.944
transcript.whisperx[53].text 根據貴部2025年的白皮書資料中心耗電是中的30%到40%是用在冷卻系統資料中心的30%到40%的耗電是在冷卻系統
transcript.whisperx[54].start 2340.624
transcript.whisperx[54].end 2369.516
transcript.whisperx[54].text 以現在高雄的電力條件加上LNG冷能輔助冷卻可以節省35%的電力成本也就是每個AI資料中心至少每年減碳5000公噸相當於12座的中型工廠所以在這邊也建請經濟部跟國發費協調在亞灣區高雄的亞灣區跟蘭子園區二期建置冷能資料中心產業帶納入行政院的AI十大建設項目
transcript.whisperx[55].start 2370.796
transcript.whisperx[55].end 2398.546
transcript.whisperx[55].text 將冷能轉化為算力能源打造全台第一個綠能AI城市在高雄這不僅是節能策略更是南北產業均衡的核心工程讓高雄成為全台第一個用冷氣養算力的城市第三個建議冷能家教育建構國際國運國管產學專班高雄擁有全台最完整的海事教育體系高雄科技大學
transcript.whisperx[56].start 2399.006
transcript.whisperx[56].end 2422.708
transcript.whisperx[56].text 海洋科技大學跟海事學校與執訓中心建議經濟部跟教育部、交通部合作國企、國運、國管的產學專班從高職建立起由中油跟陽明海運等光谷航運公司共同建立海洋人員運用學院專責的培訓LNG船員、冷能技師、低溫物流專業人才
transcript.whisperx[57].start 2423.849
transcript.whisperx[57].end 2435.194
transcript.whisperx[57].text 目前我國的LNG船隊本國級船員才34%所以未來本席直接具體建議要提升到60%的國級船員創造1500個計值值崗位這個計值的這個值缺確保人員運輸與國防戰備自主性本席這邊講的這個產學專班是針對
transcript.whisperx[58].start 2448.36
transcript.whisperx[58].end 2476.981
transcript.whisperx[58].text LNG船的這個產學專班最後我這邊的爬梳了再次的重整本席的具體要求能不能再利用一年內啟動高雄人人四番局的可行性評估跟財務規劃第二個兩年內在雅灣跟楠梓設置低碳資料中心專區第三個產學人才鏈設立海洋人員應用學院海洋人員運用其實他很多元的
transcript.whisperx[59].start 2477.822
transcript.whisperx[59].end 2495.534
transcript.whisperx[59].text 那第二個是國際國運國管產學專班最後將人人經濟納入六大區域發展圈的核心計畫內來平衡南北投資帶動高雄新產業不管本席的第一項或第二項都是省電節電減碳
transcript.whisperx[60].start 2499.079
transcript.whisperx[60].end 2519.297
transcript.whisperx[60].text 所以呢讓冷氣不只吹出來而是轉出來高雄的熱是太陽的熱高雄的冷是未來的競爭力冷能不只是降溫的技術更是城市競爭力升溫的力量所以我在這邊需要經濟部確認冷能在利用的政策方向
transcript.whisperx[61].start 2519.997
transcript.whisperx[61].end 2546.75
transcript.whisperx[61].text 結合國企國運國管的產學合作高雄就能從人員輸出港變成創新的人員輸出港冷能不只是人員是經濟的二次轉型也是護國產業的一環本席建議經濟部在一年內提出完整的冷能再利用的整體規劃報告並將高雄列為全國冷能經濟的示範城市高雄的電
transcript.whisperx[62].start 2547.51
transcript.whisperx[62].end 2571.105
transcript.whisperx[62].text 点亮全台高雄的气守护台湾这不只是高雄的产业升级更是台湾的人员安全部长请回应那我们请部长你将委员刚刚所说的详细说明那来这个不是详细说明而是先回答我一个问题就好是不是确认能再利用的政策方向部长请回应可以可以
transcript.whisperx[63].start 2572.206
transcript.whisperx[63].end 2593.302
transcript.whisperx[63].text 好 那我要求在一年內提出人人在利用的整體規劃好 謝謝 以上謝謝林大華委員的詢談因為今天的委員登記眾多所以我要請 謝謝大家我們時間掌控一下 我們謝謝接下來請這個邱奕穎委員也是我們的召委 謝謝
transcript.whisperx[64].start 2597.887
transcript.whisperx[64].end 2601.637
transcript.whisperx[64].text 谢谢主席我请一下部长我们再请龚部长
transcript.whisperx[65].start 2609.315
transcript.whisperx[65].end 2635.924
transcript.whisperx[65].text 委員好 邱委員好部長好部長這個大阪世博上禮拜結束了嘛是那我想首先我要謝謝我們的召委這個安排我們快閃日本不到24小時之內我們這個走了兩萬多步去看大阪世博但是我想藉著今天的質詢的機會我覺得應該給我們國貿署跟外貿協會一個大大的掌聲跟大大的鼓勵
transcript.whisperx[66].start 2637.024
transcript.whisperx[66].end 2664.451
transcript.whisperx[66].text 部長我知道您在我們離開之後隔天也特別到了士博去看趕在最後的階段去就是假日的時候對 所以我們的Tech World這個館其實頗受好評這個除了日本的地主國之外我們其實是在所有的場館裡頭是排名第五您看到這個照片我還特別把這個排隊人龍的照片都把它拍回來這個平均要入館入台灣館必須要等
transcript.whisperx[67].start 2665.311
transcript.whisperx[67].end 2678.923
transcript.whisperx[67].text 三個小時以上那這個Tech World雖然它的字面上沒有任何台灣但是幾乎96%的民眾都知道Tech World管就是台灣管好 部長我現在要講就是說這個管
transcript.whisperx[68].start 2680.845
transcript.whisperx[68].end 2698.354
transcript.whisperx[68].text 在日本這個展覽在日本這麼成功喔有沒有可能我們把內容的這個展出能夠到台灣回到台灣來來做巡展讓很多沒有辦法去到日本的台灣民眾也能夠充分的感受
transcript.whisperx[69].start 2698.854
transcript.whisperx[69].end 2717.653
transcript.whisperx[69].text 甚至了解我們這一次的Tech World到底在世博展出什麼樣的東西我們到底如何運用台灣有的這個AI科技元素文化把它導入在所有的展覽裡頭我們的這三個生命劇場其實很多人看完都是熱淚盈眶
transcript.whisperx[70].start 2718.854
transcript.whisperx[70].end 2733.504
transcript.whisperx[70].text 那當然我們在日本的時候其實包括昭偉我們也跟這個黃世芳董事長討論過是不是能夠把這個展出的內容回到台灣來巡展那我當然要具體的建議如果可以巡展的話
transcript.whisperx[71].start 2734.224
transcript.whisperx[71].end 2752.817
transcript.whisperx[71].text 其實高雄已經準備好了我昨天也跟我們的市長在盤點高雄可能可以來提供的場域是不是這個部長你也能夠在這裡承諾一下有沒有可能把這個展整個展出的內容文化的元素回到台灣來做巡展
transcript.whisperx[72].start 2753.67
transcript.whisperx[72].end 2773.025
transcript.whisperx[72].text 報告委員 我們的確是有這樣的考量所以我才會去試博一趟那行政院也有這樣的考量然後我們現在正在規劃就是說因為它尤其是第一個項目它高要9公尺所以說我們必須要選擇地點還有它的展期的時間
transcript.whisperx[73].start 2774.933
transcript.whisperx[73].end 2788.693
transcript.whisperx[73].text 還有它的這個內容要怎麼樣來呈現所以的確是有這樣的規劃當然有很多委員還有民眾也有建議包括要不要配合燈會或是巡迴您剛剛提到的巡迴這個我們都會一併的考量
transcript.whisperx[74].start 2789.67
transcript.whisperx[74].end 2817.006
transcript.whisperx[74].text 好 這個部長我覺得打鐵要趁熱是你應該還要在這個世博的這個熱潮當中很多人沒有辦法直接去到日本看所以我覺得打鐵趁熱讓大家趕快感受到台灣的這個軟實力台灣的這個AI的軟實力跟我們的文化軟實力到底在日本為什麼可以造成這麼大的轟動我覺得這一點這個規劃上面我可能要請部長你們加快
transcript.whisperx[75].start 2817.886
transcript.whisperx[75].end 2829.231
transcript.whisperx[75].text 腳步好不好那我當然是具體爭取如果可以的話我希望第一個能夠展出的地方就能夠到高雄來我們高雄有最棒最棒的展場所以我們一定是全力配合
transcript.whisperx[76].start 2830.147
transcript.whisperx[76].end 2849.003
transcript.whisperx[76].text 這點我請部長能夠納入考量是是是好來部長接下來要跟你討論一下這個無人機的產業發展這個行政院在10月16號核定了一個叫做無人載具產業發展統籌型計畫我們預估未來6年要投入442億那你的目標是2030年的產值要達到400億
transcript.whisperx[77].start 2857.165
transcript.whisperx[77].end 2880.879
transcript.whisperx[77].text 部長我想您大概也非常的清楚除了這個是賴總統的五大信賴產業之一其實未來無人機的需求跟發展應該會遠遠超過您現在所盤點的這個需求量您現在說這個國內的部分盤點國防部的需求未來三年大概有10萬台的採購需求
transcript.whisperx[78].start 2881.559
transcript.whisperx[78].end 2910.925
transcript.whisperx[78].text 我覺得你盤點的這個量應該是太少太少了吧無人機不只是用在國防的這個不對等的這個作戰裡頭其實它可以涵蓋的範圍是非常非常的廣包括我們這一次的雨災衛福部就首度啟用了無人機到這個孤島去送藥這個其實對於很多這個重大疾病或者是有一些患者住在偏遠的鄉鎮裡頭這是非常非常非常大的
transcript.whisperx[79].start 2912.214
transcript.whisperx[79].end 2929.98
transcript.whisperx[79].text 的這個幫助那甚至其實無人機的投入在各大的產業裡頭過去我們也其實做了非常多只是它的應用並不那麼普及包括在農業上面我們的噴藥施肥播種甚至很多的農藥監測像這個你看到這個圖是美濃農會提供的我們用無人機去噴灑農藥
transcript.whisperx[80].start 2935.382
transcript.whisperx[80].end 2953.963
transcript.whisperx[80].text 但是因為現在無人機的法令規範其實是有一點混亂 有一點複雜所以無人機做噴灑農藥的這樣的一個行為可是又被國防部拿來說要禁飛他就劃定了一個很大的禁飛區域所以造成這個無人機到底誰來管 誰可管 應該怎麼管
transcript.whisperx[81].start 2957.126
transcript.whisperx[81].end 2976.323
transcript.whisperx[81].text 產生了非常大的問題那不只在農業上面在醫療上面包括我們最近大家一直在監測的艷澀湖的水到底會不會溢流什麼時候溢流水量到多少這個也都是在靠無人機來做監測所以部長我想要具體請教你們的442億的經費到底未來是要做
transcript.whisperx[82].start 2980.487
transcript.whisperx[82].end 2996.17
transcript.whisperx[82].text 怎麼樣的預算分布那你只做研發嗎產能的部分只有到你講的那樣子嗎看看我們的這個漢翔漢翔現在去搶食500億的無人機的這樣的一個商機
transcript.whisperx[83].start 2997.071
transcript.whisperx[83].end 3015.221
transcript.whisperx[83].text 那未來在整個無人機的產業聚落裡頭有沒有比較更完整一點的規劃除了你講到在嘉義做這個AI的研發中心以外其實結合嘉義台南沙崙中科院甚至漢翔甚至在我們整個高雄地區能不能在
transcript.whisperx[84].start 3017.226
transcript.whisperx[84].end 3032.819
transcript.whisperx[84].text 在高屏家的這個地方形成一個所謂的南部無人機產業走廊就整體的我們對無人機的這個產業規劃上面部長您能不能簡單說明一下無人機的發展是全台灣的發展
transcript.whisperx[85].start 3034.14
transcript.whisperx[85].end 3059.251
transcript.whisperx[85].text 只是說剛開始的時候在民雄地區它有一個非控的場域可以做示範性的一些試驗但是並不表示說只有在那邊可以做無人機不是這個意思我當然知道我的意思是說但是你還是有一個產業聚落的形成或者是說您現在對於這樣的業者不管他是研發或者是產製你的442億是要具體要做哪些東西我現在看起來你442億是只做研發嗎
transcript.whisperx[86].start 3060.811
transcript.whisperx[86].end 3077.082
transcript.whisperx[86].text 442亿除了有一部分就刚刚提到的就是说我们各部会有盘点的大概有要5万多台的这个需求嘛这是你部会里头的需求国防部需要的量是4万多部将近5万部就是5万加5万嘛
transcript.whisperx[87].start 3077.702
transcript.whisperx[87].end 3093.305
transcript.whisperx[87].text 那有這樣5萬總共10萬部的所以你講的10萬台的需求是政府的部門但是不包含民間不包含民間的需求嘛所以你整體那你整體的產能我們的產能還包括可能要出口就是我們現在
transcript.whisperx[88].start 3094.346
transcript.whisperx[88].end 3120.145
transcript.whisperx[88].text 组成了这个联盟跟国外对接现在也有一些陆续的订单你看像汉祥他要去抢500亿的无人机的商机他其实是要到美国去嘛到欧洲去嘛那这个部分政府有强力的支持他吗或者是说我们有在政策上面在法令上面我们做怎么样更具体的这些政策支持呢因为我们
transcript.whisperx[89].start 3121.325
transcript.whisperx[89].end 3146.504
transcript.whisperx[89].text 我们跟民间已经有应该是二十几家二十五家的这个民间两百五十家已经组成了这个联盟这个联盟就跟国外不管是供应链的合作也好或是订单的这个掌握也好那就已经开始有滚动式的往前推进了所以我们现在大家会认为说我们好像只能做零组件不是这样的我们已经可以在整个这个系统性已经完成了所以拿到
transcript.whisperx[90].start 3146.997
transcript.whisperx[90].end 3151.586
transcript.whisperx[90].text 波蘭的訂單 大概差不多10億台幣3200萬美元類似這樣的訂單那美國的部分 那個Skydio
transcript.whisperx[91].start 3158.513
transcript.whisperx[91].end 3177.185
transcript.whisperx[91].text 我們也拿到它的訂單了有些廠商已經拿到它的訂單它主要是在做商用甚至於說是景銷而用雖然不是軍事用途但是景銷用這個就是剛剛提到的我們在實際的用法上是實際有這樣的訂單有這樣的成果了已經慢慢的開始起來了
transcript.whisperx[92].start 3178.666
transcript.whisperx[92].end 3193.163
transcript.whisperx[92].text 這個部長我想時間到我就不再用太多時間但是我覺得可能未來在所謂的無人機的產業發展上面其實我比較期待有沒有可能未來我們來制定一個所謂的無人載具產業基本法或者是無人載具的產業發展法
transcript.whisperx[93].start 3194.645
transcript.whisperx[93].end 3222.266
transcript.whisperx[93].text 我覺得這個是未來很重要的不管是不對等的作戰不管是在商用不管是在民間使用我覺得無人機的這個產業它應該是蓬勃發展那很多的相關的管理辦法現在分散在各地尤其是民航法的管制其實是非常相對嚴格包括國防部對於無人機怎麼飛飛的高度是多少國防部都會劃定一個所謂的禁飛範圍裡頭
transcript.whisperx[94].start 3223.607
transcript.whisperx[94].end 3250.263
transcript.whisperx[94].text 那這個對於整個不管是無人機的使用或者是發展其實都產生非常大的漢格所以我期待可能這個可能經濟部是不是要跟國發會或者是跟其他的部會來共同討論一下對於無人載具的產業發展我們應該要制定一個通法然後呢對於相關的這些法令的鬆綁其實也應該要來一併做考量喔好不好
transcript.whisperx[95].start 3250.748
transcript.whisperx[95].end 3268.46
transcript.whisperx[95].text 好的 因為我們現在已經有一個無人載具的有點像示範砂輪的一些條例那我想用那個基礎把它upgrade到發展條例也好你們那個示範條例是不是可以給本席一下好不好好 謝謝示範條例給邱委員 謝謝接下來我們請陳廷飛委員請做詢問
transcript.whisperx[96].start 3281.63
transcript.whisperx[96].end 3284.573
transcript.whisperx[96].text 謝謝主席 我們請部長我們再請龔部長
transcript.whisperx[97].start 3292.259
transcript.whisperx[97].end 3315.076
transcript.whisperx[97].text 部长我今天要跟你讨论的议题是在当时候任性预算还没过之前未用同样的议题跟我们行政院院长有就教过有讨论过也就是说我们要怎么用我们的任性特别预算来协助我们重要的产业来度过难关其实部长
transcript.whisperx[98].start 3316.058
transcript.whisperx[98].end 3339.105
transcript.whisperx[98].text 我們這一次重要的是關稅我們能不能讓大家有競爭力也就是說當我們受影響的產業我們的對手他的暫定稅率到底是多少如果他的稅率都比我們高那基本上我們還保有我們的競爭力如果我們的
transcript.whisperx[99].start 3340.605
transcript.whisperx[99].end 3359.855
transcript.whisperx[99].text 暫定稅率是比我們對手還要高的話那當然我們的競爭力就會萎縮所以我們必須把韌性特別預算一定要好好的把這些產業別做一些盤整比如說工具機
transcript.whisperx[100].start 3361.016
transcript.whisperx[100].end 3379.106
transcript.whisperx[100].text 工具機台灣的稅率是20再堆加然後我們主要競爭對手是德國 日本 韓國他們的佔領稅率是15%然後手工具也是一樣我們的競爭對手跟我們差不多
transcript.whisperx[101].start 3380.146
transcript.whisperx[101].end 3395.244
transcript.whisperx[101].text 水滸金越南跟我們的競爭對手我們的稅率是差不多重機重電重電的部分我們的對手是歐盟他的暫定稅率是比我們還低
transcript.whisperx[102].start 3396.448
transcript.whisperx[102].end 3417.347
transcript.whisperx[102].text 好 我們20% 他們15%塑膠當然我們的對手是墨西哥那麼他們是25%我們剛好比他們少一點點我會提出這個就是說我們要實質下去盤整我們要怎麼幫他也就是我們要先讓他
transcript.whisperx[103].start 3418.7
transcript.whisperx[103].end 3447.531
transcript.whisperx[103].text 有同等的競爭力是的對不對就是說我們比不過人家的競爭力的部分關稅的部分我們要先把這個Gap先給他安心也就是一個標準比如說他受衝擊的可能是5%的關稅我們怎麼利用我們這些特別預算一些科目他需求的科目把它補足這個Gap那麼他就會安心
transcript.whisperx[104].start 3448.871
transcript.whisperx[104].end 3461.139
transcript.whisperx[104].text 我覺得我們要有一個標準然後有一個堆疊有一個談論的空間這樣子我們在所謂的任性特別預算才能夠實質發揮作用部長你認為呢是那我們現在大概是利用
transcript.whisperx[105].start 3468.516
transcript.whisperx[105].end 3490.596
transcript.whisperx[105].text 因为没有办法直接就用这个关税补贴但是我们用升级转型比如说升级转型你太旧换新机器设备我们就有补助最高是40%然后还有你贷款贷款的部分我们利息补贴给你但是部长有说他现在未必可以他的机器太旧换新了
transcript.whisperx[106].start 3492.393
transcript.whisperx[106].end 3509.238
transcript.whisperx[106].text 他也可以加裝一些升級轉型的智慧化比如說AI相關的軟體設備可是當他要裝設這些緩不濟急耶緩不濟急耶另外就是我們還有訂單上的一些協助比如說他要去參展我們給予補助而且金額加大
transcript.whisperx[107].start 3511.217
transcript.whisperx[107].end 3528.168
transcript.whisperx[107].text 類似這樣的部長 你知道你講這些其實會讓人家感覺有點落差因為我們現在一定要給他先有競爭力去拼搏對不對可是你所說的這些是在後續的所以貸款才是最重要的
transcript.whisperx[108].start 3532.168
transcript.whisperx[108].end 3543.151
transcript.whisperx[108].text 是 贷款也是有贷款才是最重要可是你知道吗信用保证跟利息补助可是贷款银行通常都会要求要看你的订单
transcript.whisperx[109].start 3545.128
transcript.whisperx[109].end 3564.796
transcript.whisperx[109].text 我的訂單都受到影響了你還要看我的訂單所以為什麼我們要編這個差不多將近100億的這個去爭取訂單除了美國的訂單之外我們額外的訂單也要去爭取好啊問題是這些訂單要怎麼給他們有信心說我可以爭取到這個訂單
transcript.whisperx[110].start 3569.885
transcript.whisperx[110].end 3582.174
transcript.whisperx[110].text 所以就是說因為如果我們出去跟人家搶訂單的話單純只是價格如果遇到是東南亞跟中國的話的確是比較困難但是台灣的品質是不錯的
transcript.whisperx[111].start 3583.401
transcript.whisperx[111].end 3610.553
transcript.whisperx[111].text 差異化能力也很強你知道嗎我很感動的是很多廠商都跟我講你只要讓我有同等的競爭力我們就對東西輸了因為我們的競爭一定會出事我們的競爭就是這個競爭力因為光這個關稅差在5%或是%差在3%這個部分他們的競爭力光開出來的單價就沒辦法去取得訂單了
transcript.whisperx[112].start 3612.486
transcript.whisperx[112].end 3633.339
transcript.whisperx[112].text 你懂吗你要了解现在厂商他们内心的想法没错所以我还说你到底任性特别预算可以给他们多少的期待你们汉布隆东开了很多你看我们有460亿的支持产业可是我看得到吃得到吗
transcript.whisperx[113].start 3634.229
transcript.whisperx[113].end 3650.406
transcript.whisperx[113].text 一定可以啊我们现在申请的案件已经有1200多件是啊可是1200多件是不是真的可以让他们在这一次关税有办法拿到一个同等的竞争力这才是最重要的
transcript.whisperx[114].start 3651.167
transcript.whisperx[114].end 3672.469
transcript.whisperx[114].text 部長所以我希望你們去盤點的是不是只看到說你看我現在有1200多家來申請可是你要去了解這1200多家是因為沒辦法去縫你們這個支持產業的需求因為我沒辦法因為你通過了我去縫你這個需求可是這個需求真正可以讓我
transcript.whisperx[115].start 3673.65
transcript.whisperx[115].end 3700.686
transcript.whisperx[115].text 跟人家有競爭力可以去跟人家徵訂單的一個條件嗎對 所以鮑委員所以我們為什麼會成立了這個北中南東的這個輔導團主動的去了解他們企業需要我們真正的協助是在哪一個地方所以部長 這才是重要也就是說你要去了解他們真的受到影響的問題是什麼
transcript.whisperx[116].start 3703.43
transcript.whisperx[116].end 3729.424
transcript.whisperx[116].text 沒錯你現在460億支持產業很清楚寫在這裡那有需要的人來爭取可是爭取完之後他真的是有這樣的一個天平可以去跟人家競爭嗎這才是我們在這一次任性特別預算我們的重點我們要給我們的產業是有一個同等競爭力去跟人家競爭
transcript.whisperx[117].start 3730.825
transcript.whisperx[117].end 3745.787
transcript.whisperx[117].text 我們的條件一定比人家好我們的給人家的信心指數也一定比人家高可是當我在不同的一個關稅的平台當中我說話就小聲啊
transcript.whisperx[118].start 3747.86
transcript.whisperx[118].end 3773.866
transcript.whisperx[118].text 我講話就小聲啊可是當我能夠在政府支持我有同等的競爭力我就不一樣了所以我才在講你當這個3%的gap 5%的gap這個部分你怎麼利用我們的輔導團去協助他們這才是重要我的標準已經定在這裡嘛我依照我的競爭對手
transcript.whisperx[119].start 3776.087
transcript.whisperx[119].end 3801.693
transcript.whisperx[119].text 的一個關稅跟我們台灣的關稅差在哪裡我不是叫你直接補貼他5%不可能嘛可是你可以用我們現在的一些知識產業的一些狀況去協助他盤點之後去補足這個GAP一個標準甚至在我們金融知識的部分給予更多的力量當我們政府輔導團給他一個保證
transcript.whisperx[120].start 3806.844
transcript.whisperx[120].end 3823.444
transcript.whisperx[120].text 銀行都比較趕嘛啊可以啊可以啊對不對沒有問題啊不然銀行根本不趕嘛是銀行那個時間就要看你的訂單我們那個輔導團啊我就是沒訂單我不是要來請請出政府的合作我們輔導團會把我們的那個信保機制同仁一併的加進去好這個很重要
transcript.whisperx[121].start 3824.125
transcript.whisperx[121].end 3852.461
transcript.whisperx[121].text 所以部长我们关心的是当我们预算过了之后我们是不是真正的可以协助到这些中小企业跟传统产业这个也是我们最关心的这才是重要所以我们希望的是有一个比较直接的盘点有一个比较直接的协助而且有直接的让他们有感的方向部长这个再拜托谢谢
transcript.whisperx[122].start 3858.975
transcript.whisperx[122].end 3859.237
transcript.whisperx[122].text 我們現在請張祺凱委員質詢
transcript.whisperx[123].start 3891.924
transcript.whisperx[123].end 3913.513
transcript.whisperx[123].text 謝謝 請阿滾部長好 部長張委員好 滾部長奈清德總統在4天前就是10月18號他在為小水利發電產業發展論壇的時候 自此他講到說
transcript.whisperx[124].start 3917.262
transcript.whisperx[124].end 3943.149
transcript.whisperx[124].text 政府已經在2022年公布的2050年淨零排放政策路徑藍圖他已經提出了包括小水利他說作為前瞻能源等12項關鍵戰略在2030年之前要投入9000億結果這段時間很多專家學者到我辦公室來工
transcript.whisperx[125].start 3944.301
transcript.whisperx[125].end 3956.283
transcript.whisperx[125].text 有嗎這個你們經濟部核定的前瞻能言12項關鍵戰略2025年淨零排碳的這個路徑難途有包括小水利嗎
transcript.whisperx[126].start 3958.646
transcript.whisperx[126].end 3981.297
transcript.whisperx[126].text 多元的多元的多元的那個能源開發其中有一項是小水利沒有錯這也是很多委員有關心的希望的你在你在你的12項關鍵戰略這個每一個都是核定本都是你經濟部核定的就是在前瞻能源這個第三項他前瞻能源裡面有很多包括氫能前瞻能源來來來來來來來來來來來來來來來來來來來來來來來
transcript.whisperx[127].start 3986.039
transcript.whisperx[127].end 4015.066
transcript.whisperx[127].text 我有印你們拿給我看這前瞻能源第三項裡面哪一個有講到小水利你們講到三項來來來第一項是風電跟光電對不對第二項是氫能嘛第三個就是部長你現在講的前瞻能源對它是滾動式的只要有新的包括地熱也好或是其他的能源甚至於是波浪的能源都涵蓋在這個所謂的前瞻能源裡面這是剛剛印下來的有嗎你的滾動你有去改嗎
transcript.whisperx[128].start 4016.639
transcript.whisperx[128].end 4045.603
transcript.whisperx[128].text 這裡面牽扯到兩個很嚴重啦你現在給我看第三個你剛講的來 部長你講的第三個是什麼前瞻啦前瞻能源它裡面講的是什麼地熱發電生殖能跟海洋能嘛對你對著你眼睛看到看到小水電小水電沒有啦 水動自衛檢查所以有機會我們都會加入到目前來 你給我看在哪裡這裡面牽扯一個啦如果有機會我們就把它加入聽我講這裡面牽扯到兩個很嚴重的第一個總統不能夠信口開河你沒有的東西
transcript.whisperx[129].start 4047.383
transcript.whisperx[129].end 4063.768
transcript.whisperx[129].text 你去論壇你對著講所以專家寫者很認真他們就來問我辦公室說委員我們找了老半天找不到找不到小水利那不會覺得總統為什麼他都沒有清楚的看清楚內容我還特別把這個帶來喔對不對到目前都沒有這不就變成個信口開河的總統你要這樣下去就變總統變來爾校長對不對
transcript.whisperx[130].start 4073.464
transcript.whisperx[130].end 4083.876
transcript.whisperx[130].text 小水利是有一個已經公布了一個短售價格是支持而且鼓勵的我請那個署長講一下現在在講的是現在講的是總統在這個論壇講他在2050年的淨零排碳政策藍圖還有12項的淨零關鍵戰略裡面
transcript.whisperx[131].start 4091.224
transcript.whisperx[131].end 4104.462
transcript.whisperx[131].text 找不到小水利嘛結果總統去論壇裡面講這不是變成信國開河嗎不是這樣子的小水利本來就是我們水利發電其中的在這裡面在總統講的這裡面有沒有你放給我看嘛有小水利的有嗎
transcript.whisperx[132].start 4105.348
transcript.whisperx[132].end 4119.287
transcript.whisperx[132].text 消血力本來就在我們政府的政策裡面總統說在慶齡十二項關鍵戰略裡面有嗎這個是你們GC2的核定版就是在前瞻能源裡面前瞻能源包括非常多
transcript.whisperx[133].start 4121.789
transcript.whisperx[133].end 4148.16
transcript.whisperx[133].text 我印了我印了你剛剛你講的那個你等一下翻出來任何一個小水利的字給我你兩個眼睛可以看得到不是前瞻能源他是一個概括性的一個說法只要是前瞻的他屬於能源的事實上滾動式的檢查都會納在裡面而且經濟部基本上也對小水利有提供的短壽價格已經列出來了你政府的功能特別經濟部這每一個都是你的核定說光是第一項風電跟光電
transcript.whisperx[134].start 4150.367
transcript.whisperx[134].end 4154.009
transcript.whisperx[134].text 你光是第一項12個大項裡面的第一項就有27頁喔你講的第三項裡面
transcript.whisperx[135].start 4160.149
transcript.whisperx[135].end 4180.354
transcript.whisperx[135].text 連一個字小水利都沒有你先不要硬拗了我現在只要提醒你總統講話不能夠信口開河要不然就變萊爾校長你們第二個他已經講了你們趕快跟上去把小水利這個計畫把它做好我今天看你的計畫我們會做好那個部長我今天看你的施政報告你的這個業務報告講小水利也只有六行四啊
transcript.whisperx[136].start 4181.397
transcript.whisperx[136].end 4206.363
transcript.whisperx[136].text 你們趕快跟上去啦好不好一個請總統不要信口開河第二個他沒有信口開河他也知道小水利是我們重要的能源政策27月你要推動光電你的目標是什麼你的短期中長期的計畫是什麼小水利後來績效是什麼這個每一項都有耶沒有計畫現在不是信口開河說了就說我要推小水利這個東西完全一個字都沒有好不好這是一個好來
transcript.whisperx[137].start 4208.117
transcript.whisperx[137].end 4234.811
transcript.whisperx[137].text 第二個我們來談一下最近光電板出了很多的問題為了光電板要回收能源署回應說啊 獲蓄每年已經要的追繳已經達到九成了也在去年修罰最高可以開罰150萬 目前條例等待三讀這個跟剛剛那個一樣 我也給他找幾碼
transcript.whisperx[138].start 4237.446
transcript.whisperx[138].end 4262.263
transcript.whisperx[138].text 你們的法案在哪裡 條例在哪裡報告委員 這個所謂事成沒有繳納的 我們都去吹繳了那如果時間到的話 我們就會移送強制執行那所以這個比例其實市長 我在問你 你跟我們說你跟全國民眾跟立法院說你的修法 你甩鍋給立法院啊是我說我查不到你的東西 你的條例在哪裡啦你們有這個條例嗎有沒有
transcript.whisperx[139].start 4265.929
transcript.whisperx[139].end 4283.814
transcript.whisperx[139].text 這個原來就是那個再生能源發展條例裡面他可以做處罰但是他當時沒有特別對吹角他沒有罰則嘛 對不對所以你要修法嘛你這個寫的意思就是說你去修法送到立法院躺在立法院立法院等待三讀我給所有專家寫者跟我的辦公室去找
transcript.whisperx[140].start 4284.574
transcript.whisperx[140].end 4305.532
transcript.whisperx[140].text 阿你就沒修法你怎麼可以這樣講他不是修法你這不是嫁禍跟甩鍋給立法院而且這嚴重傷害你經濟部的公信力欸報告好報告委員他那個可能我們用的文字他是修那個辦法特別把這一個行為納入那不是修辦法辦法要送到立法院刪讀嗎修讀法辦法要送到立法院刪讀嗎你講的條例在哪裡啦你送到立法院的條例在哪裡有嗎
transcript.whisperx[141].start 4310.634
transcript.whisperx[141].end 4333.487
transcript.whisperx[141].text 你去把它弄清楚對我們來修正用語是修辦法那你真的有條例的話也趕快送來不要說你已經送到立法院來這不要變成真也修假話甩鍋給立法院嗎委員我們看一下你這個文字是哪裡來的因為他這個文字用的這個是我看是一個新聞發布我在想他用的文字可能不是精準我們的文字
transcript.whisperx[142].start 4335.529
transcript.whisperx[142].end 4362.988
transcript.whisperx[142].text 這是公視的報導這個不是只有這是公視的報導所以這是一個新聞報導我看它這裡面的文字第一個我明確知道不對的就是有四層餵角絕對沒有但是有餵角的我們都已經吹角了另外我們要修的是管理的辦法也不是母法所以我是覺得這一則新聞事實上可能不是不是正確的這個是新聞報導是有畫面的你打臉是你的能言術
transcript.whisperx[143].start 4364.301
transcript.whisperx[143].end 4391.886
transcript.whisperx[143].text 報告我們沒有這種這個不是一個文字這是公視的報導你打臉是記者人員署沒關係我們在把它查清楚更重要的要解決問題第二個不要當初我們有發新聞稿的話我們會有新聞稿的不要甩鍋不要甩鍋給那個立法院更重要你是個公信力的經濟部不要變成造謠的經濟部來好我們來看一下柏定你13號你有吹哨者來檢舉說光電板的這個
transcript.whisperx[144].start 4395.578
transcript.whisperx[144].end 4419.225
transcript.whisperx[144].text 在戰事區台湯土地上面沒有你連收三次喔我說你目前處理好嗎你說處理好啊我說是在戰事區喔因為卻要講得清清楚楚喔你還回答我說清走的我說你是戰事上面還清走的你還說第三次講說清走的我去看來我給你看來我給你看結果很可惡的是你在16號你還發了新聞稿誤導民眾來我給你看真正的真相是什麼來
transcript.whisperx[145].start 4422.251
transcript.whisperx[145].end 4448.707
transcript.whisperx[145].text 這個就是荷包魚 滯洪指定名台塘戰事區勒眼睛應該沒有業障那麼重吧看得到上面是什麼吧那個是堆滿那個浮板這個 這個我們來確認一下這個應該已經清理完畢了但是我們知道我們在9月在你發新聞稿的當天16號還在那裡啊是 我們這樣子我們在9月15不要硬拗啦 不要硬拗我都已經去看過了來 我再給你看後面的來 哥哥來
transcript.whisperx[146].start 4451.759
transcript.whisperx[146].end 4477.716
transcript.whisperx[146].text 18號跟19號來我現在跟你講更重要的不是只有台塘那個站制區沒有清完我去18號跟19號我在新溫的自風池看到什麼路口旁邊馬路上喔馬路旁邊你就看得到了還有破碎的光電板我拿給大家看有沒有我手上抓到那個是破碎的光電板然後呢在那個自風池的上面漂浮的浮板像小船一樣
transcript.whisperx[147].start 4479.345
transcript.whisperx[147].end 4493.772
transcript.whisperx[147].text 一二十隻小船在那邊飄你除非你故意看不到或者像王世堅講的睜眼收瞎話沒出息連滾帶爬才會連這個東西都看不到這個委員你不了解齁你這個照片用過好多次齁我說明一下
transcript.whisperx[148].start 4494.432
transcript.whisperx[148].end 4513.926
transcript.whisperx[148].text 好多次 我在這裡問你對不對你也承認這次問題什麼叫好多次不要一直亂講話好不好市長精準的講因為我們9月7號已經清理完畢但是後來因為有雨水沖刷或有一些漂流出來的我們要求業者他還要定期循環去減蝕那減蝕之後他會先把它堆置起來
transcript.whisperx[149].start 4514.426
transcript.whisperx[149].end 4529.612
transcript.whisperx[149].text 那至於上面有浮板好幾片那麼大一個你看它像小船一樣那是很重的你隨便飄一下十幾片的這個浮板全部都飄出來喔那個是它未來要重新你這個完全不合邏輯這硬拗了捏那是定位點因為它未來要重新那你是怎麼當初去選沒選對了
transcript.whisperx[150].start 4531.093
transcript.whisperx[150].end 4552.672
transcript.whisperx[150].text 那麼大一個東西你說是隨時又漂出來是不是過幾天又漂一二十隻小船出來照片裡面水上的那個是葉子的定位點因為它未來要重新復原的時候它必須要把它留幾個地方再定位它這樣子未來施工的時候可以不必重新定位市長最重要的經濟部是一個講話很有公信力的部會
transcript.whisperx[151].start 4554.113
transcript.whisperx[151].end 4579.158
transcript.whisperx[151].text 結果你一湊再湊你不只在這邊講了跟事實不一樣的然後我看的都是有圖有真相 你看我是特別跑去現場看喔我還特別在19號為什麼用了那張報紙國民黨黨主席18號寫出來黨主席鄭麗文19號我是想去看你看那個地面上整片的光電板光電模組整片在那邊自模組上面是有平板右邊來來來我跟你們講右下角這是什麼
transcript.whisperx[152].start 4581.278
transcript.whisperx[152].end 4602.823
transcript.whisperx[152].text 阿陸續雨水沖刷有露出來所以我們每天都會派這個業者去巡檢如果有發現他們就會把它收起來暫時堆置在旁邊所以你就不要發新聞稿說什麼你已經清完嘛如果這麼容易對不對阿光電板這麼脆弱一下沖刷就會跑出來但是因為它會沖刷或是水位變化有的時候它會不斷的我們會不斷的去巡檢它部長我堅持要跟你講齁
transcript.whisperx[153].start 4603.723
transcript.whisperx[153].end 4615.35
transcript.whisperx[153].text 我今天也沒有要你道歉我現在要講一個很重要政府是有公信力的當民眾不是 我跟你講喔最近喔 最近委員如果再問問題詢 那你們聽一下才有辦法回答你不要兩個都講這樣子大家不要聽誰的 好嗎大家互相尊重 來 請繼續
transcript.whisperx[154].start 4628.254
transcript.whisperx[154].end 4653.528
transcript.whisperx[154].text 部長我今天沒有要你道歉我今天講的是政府的公信力我說你不要讓民眾一般的媒體去採訪發現的問題聯合報去追蹤了90天他說在10月初到了10月初的時候第90天還有很多地方就是向旗桿去看的這個我是在19號18號又去看又是一堆問題那一般的嘉義的民眾或者是全國民眾你只要這段時間經過新穩定的光電池這個制風池
transcript.whisperx[155].start 4657.096
transcript.whisperx[155].end 4685.735
transcript.whisperx[155].text 你經過新莊了來我再給你看一個畫面下一個你們嘉義縣政府你們發新聞稿16號對不對17號嘉義縣政府還去打臉你們還開牌我們可以講我今天不是要你道歉我現在是說第一個我們那個博定今天最重要的不要睜眼收下讓民眾因為民眾會覺得說我過去看我看都有看到那是經濟部那因為時間的關係我們先到了啦我現在要兩個東西啦第一個
transcript.whisperx[156].start 4686.937
transcript.whisperx[156].end 4704.197
transcript.whisperx[156].text 確定去把它清除完畢好不好清了我們會再清嘛剛剛署長第一個要求一定要把它清乾淨第二個你的新聞稿出現問題趕快去更正我們會持續清你說你清完了嘛第三個禮拜給我一份報告為什麼民眾都看到有問題為什麼你一直講說清完好不好
transcript.whisperx[157].start 4705.978
transcript.whisperx[157].end 4727.749
transcript.whisperx[157].text 確定不要再污染不要再污染我們台灣的這個土地好不好謝謝那那個部長因為委員大家都關心我知道其實大家都希望社會不要有疑慮對所以呢如果你的媒體認為你是你認為是有誤的你們要想辦法去理清楚要要要這才是我們尋答最重要的重點謝謝謝謝
transcript.whisperx[158].start 4734.278
transcript.whisperx[158].end 4758.157
transcript.whisperx[158].text 好 接下來我們請鄭振權委員請鄭振權委員請坐群打 謝謝謝主席我想先請一下經濟部工部長我們再請工部長還有我們能源署的理事長能源署是
transcript.whisperx[159].start 4759.924
transcript.whisperx[159].end 4778.451
transcript.whisperx[159].text 蔣委員好部長好我在想說就是台灣的能源其實確實是大家都關心產業界關心 民眾都關心經常在講說從108年台灣AI行動計畫開始發展之後其實算力就變成大家生活當中很重要的部分包括
transcript.whisperx[160].start 4780.592
transcript.whisperx[160].end 4800.42
transcript.whisperx[160].text 產業 特別的關心所以我們常常在講說 算力就是國力可是問題是 算力它依賴很大的一個能源所以電力也是國力我想這兩句話 我想部長應該都不會反對啦那那個 因為主任長跟賴總統 他們目前也都很明確的說就是
transcript.whisperx[161].start 4801.841
transcript.whisperx[161].end 4827.248
transcript.whisperx[161].text 不排除新核能這件事情對不對那我想說因為我們現在台灣已經沒有核能了已經進入一個無核能的一個狀態那我想關心一下SMR這個部分那目前核安會明年是有1億的預算未來4年有8億啦只有8億那我在想說我們之前我問過
transcript.whisperx[162].start 4828.428
transcript.whisperx[162].end 4846.765
transcript.whisperx[162].text 河安會這邊的時候他提到說這是能源政策的問題推到經濟部這邊來所以我想藉這個機會來請教一下部長我們在這個SMR的能源賽道當中怎麼樣子可以不掉隊可以能夠持續站在全球一個比較領先的地位可不可以請部長回答一下
transcript.whisperx[163].start 4848.459
transcript.whisperx[163].end 4867.19
transcript.whisperx[163].text 邦安委員第一個就是說我們還是會持續國際性它現在的發展狀態這個我們還是持續觀察那河岸衛的部分他們是有一些研究在研究這個方面就目前僅是一個研究就是中國大陸2026年SMR要商轉
transcript.whisperx[164].start 4869.012
transcript.whisperx[164].end 4891.054
transcript.whisperx[164].text 韓國2030年預計要商轉所以說我就在這個部分當中說台灣就是明年才有一億台幣的預算今年韓國就投入一億美元的一個資金在這個部分那我們怎麼樣在這個部分不要掉隊太多
transcript.whisperx[165].start 4892.435
transcript.whisperx[165].end 4909.319
transcript.whisperx[165].text 我今天的關心點在這個地方因為現在它的這個SMR它的運作方式採用的材料等等的一些情況事實上有很大的不容冷卻方式也有很多的不同我們現在在密切觀察說什麼樣的型態比較適合台灣
transcript.whisperx[166].start 4911.68
transcript.whisperx[166].end 4933.886
transcript.whisperx[166].text 這個部分因為他說還在一個很出奇的狀態因為本席是覺得說台灣這部分感覺走得不夠快我問何安慧 何安慧把這問題推到經濟部這邊所以我希望經濟部這邊能夠有一個更積極的一個作為那這個部分你之後可以再跟本辦公室提出一個我們經濟部目前針對這個部分怎麼樣的去做一個規劃跟發展的一個進程好不好
transcript.whisperx[167].start 4934.306
transcript.whisperx[167].end 4940.83
transcript.whisperx[167].text 那我接下來想請教一下那個李署長因為最近有一個案子就是針對那個之前跟
transcript.whisperx[168].start 4944.62
transcript.whisperx[168].end 4970.081
transcript.whisperx[168].text 漁民的一個衝突啦那你出來做協調然後結果法院後來就在過程當中提到說你要那個廠商這邊service一下那這個字眼的時候讓大家會有很多的聯想然後就覺得說好像當時的能源局副局長你現在能源署的署長出來喬事針對這個部分你可不可以具體做一個說明跟澄清
transcript.whisperx[169].start 4970.581
transcript.whisperx[169].end 4996.586
transcript.whisperx[169].text 首先那是因為民眾抗爭所以雲林縣政府希望我們是中央目的世界主管機關去協調這件事那整個會議是公開的當時除了漁會縣政府議長的代表那麼縣議員還有這個漁權會漁會都在所以當時是一個非常多人公開的會議那我們是主管機關是有協調責任而且協調的成果是
transcript.whisperx[170].start 4997.166
transcript.whisperx[170].end 5007.614
transcript.whisperx[170].text 成功的後來雙方也以這個協調去那我為什麼會在這個地方特別提這個問題就你知道有一個簡單的澄清就是我只是要特別講說說實話你出來做這個協調喬試著這個狀態來講說坦白說就很像民意代表在做的事情然後能夠解決問題就是好事啦我基本上態度是這樣子可是我要特別講的一個狀態是說現在整個綠能有很多一個亂象包括我們剛剛
transcript.whisperx[171].start 5023.386
transcript.whisperx[171].end 5035.998
transcript.whisperx[171].text 他也問到了很多相關的部分光電的問題風電的問題都會有很多的亂象可是我覺得亂象裡面有一個很大的一個癥結點就是因為政府把很多要跟地方溝通的問題都丟給了開發商去做
transcript.whisperx[172].start 5039.656
transcript.whisperx[172].end 5060.495
transcript.whisperx[172].text 那這當中就會出現很多很多的問題之前在郭部長在的時候呢我跟他溝通過這個事情那他當時為了要解決這樣子的一個可能產生的糾紛他把法務部拉到一個溝通平台當中來那這是一個點可是我要特別講的狀態就是說如果說我們現在把這問題都丟給開放去做這種問題會層出不窮
transcript.whisperx[173].start 5062.676
transcript.whisperx[173].end 5087.383
transcript.whisperx[173].text 就是署長要不斷的出來扮演這種協調者的角色不斷要講說要開發商相關的爭議的對象我覺得這都不是一個好事情那我覺得能源署經濟部這邊是整個能源的主管機關我們在發展綠能過程當中的時候是不是能夠把這些溝通的動作先做好到時候要怎麼樣的去回饋變成之後招商當中的一個部分的條件
transcript.whisperx[174].start 5088.57
transcript.whisperx[174].end 5108.417
transcript.whisperx[174].text 是不是有可能朝這方面去做避免之後不斷的產生各種的一個糾紛跟衝突是 我們會照這個原則事實上這個案開發案也是先跟漁民溝通好了那他是之前的溝通的時候呢法院的判決他有特別講出來因為都只跟漁會講可是漁會這邊就用了一個
transcript.whisperx[175].start 5110.834
transcript.whisperx[175].end 5139.731
transcript.whisperx[175].text 便宜形式的做法的時候讓真正在做捕撈會受到影響的漁民沒有太大的發言權而用一些比方說陸地漁溫的一個漁民大量的狀態去稀釋這狀態所以這是溝通當中的一個技術性的問題那我希望就是能源署這邊你剛剛也承諾要從這個方向去做我們希望能夠把這溝通的部分成本溝通好變成以後開發商在招標當中的一個成本
transcript.whisperx[176].start 5140.211
transcript.whisperx[176].end 5165.052
transcript.whisperx[176].text 就不會產生後續這麼多的一個糾紛了解 謝謝委員那他這個案事實上我們是取得漁會的同意有溝通好不過漁會裡面有不同意見的人那這些人事實上是在漁會裡面不同意見人但是整個代表漁會的整個單位是同意的那這個部分我們希望說能源署這邊經濟部這邊能夠把這個部分做得更好因為我們接下來還有很多那個綠能計畫
transcript.whisperx[177].start 5166.633
transcript.whisperx[177].end 5193.144
transcript.whisperx[177].text 那個郭部長雖然他一直講說台灣不缺能源可是絕對缺綠能這個部分所以我們接下來要怎麼把這綠能發展起來也是一個很重要的部分那我最後還有一個問題我想請教一下那個工部長因為昨天就是國發會的主委他在針對那個國發會業務報告當中的時候他直接提到了就是矽光子的產業要落腳在高雄
transcript.whisperx[178].start 5194.244
transcript.whisperx[178].end 5201.552
transcript.whisperx[178].text 那經濟部是這矽光的產業的一個主管的機關確定已經有這樣子的一個政策出來了嗎
transcript.whisperx[179].start 5203.202
transcript.whisperx[179].end 5224.648
transcript.whisperx[179].text 因為它是有一個計畫這個計畫主要外站我想媒體也有講主要是AMD的一個計畫那這個計畫是申請了我們Aplus計畫那這個計畫會落腳因為它的這個研發的據點那個計畫AMD的計畫落腳在高雄還是整個矽光的產業要落腳在高雄
transcript.whisperx[180].start 5225.228
transcript.whisperx[180].end 5250.116
transcript.whisperx[180].text 因為矽光石它是會support的這個高階的這個封裝嘛那所有的半導體很多它都會用到所以不會只有一個地方OK那因為本席就特別要特別講說因為我如果聽到整個矽光產業要整個落腳在高雄我就會有點擔心因為目前矽光石這部分基本上就是光電跟半導體這邊要結合相關的一些技術那目前半導體跟光電很多的
transcript.whisperx[181].start 5250.556
transcript.whisperx[181].end 5271.996
transcript.whisperx[181].text 重要的技術跟矽光子的產業都在北部在新竹在新北這個地方所以我們擔心如果說整個矽光子的產業要落腳在高雄的部分的時候會不會造成產業的一個產業鏈的一個當被一個撕裂的部分那如果部長現在講說只是一個AMD的計畫在高雄的時候那很多北部的矽光子產業還是繼續在走應該是這樣的狀態嗎
transcript.whisperx[182].start 5274.258
transcript.whisperx[182].end 5290.895
transcript.whisperx[182].text 当然因为它现在已经跨到产业可以开始可能快再过几年就会有商转的这个机会了所以很多的计划已经在很多的这个企业界在做研发也好或者是商业化的一些过程了
transcript.whisperx[183].start 5291.67
transcript.whisperx[183].end 5320.503
transcript.whisperx[183].text OK 因為現在矽光的主要幾個企業包括光環、波羅威其實都在新竹啦那那個比方說創威在新北其實都還是在北部這部分所以我們希望說這整個矽光的產業當中不是說整個經濟部就是要基於什麼產業的南北平衡怎麼樣狀態就硬要把一個產業本來在北部有的拉到南部去不是這樣的狀態嘛對不對不是 AMD 因為他希望在高雄我們就支持他理解那可以把這個發展起來也非常好 對
transcript.whisperx[184].start 5321.604
transcript.whisperx[184].end 5334.28
transcript.whisperx[184].text 如果有的計畫他希望在新竹我們當然也會支持OK那針對矽光子相關產業的時候你再給本席一個更詳細的資料好不好好謝謝好非常感謝謝謝鄭振銓委員謝謝謝謝部長我們接下來鄭天才委員請做詢答
transcript.whisperx[185].start 5355.798
transcript.whisperx[185].end 5380.449
transcript.whisperx[185].text 主席 各位委員 有請部長我們再請龔部長趙委員好部長好這個我再次在談這個光復鄉馬台安溪這個潰壩造成的非常大的一個傷亡跟家戶的損失
transcript.whisperx[186].start 5382.814
transcript.whisperx[186].end 5401.901
transcript.whisperx[186].text 這個土堤 要謝謝水利署花了將近10天這個2680公尺的土堤完成了請教一下 這樣的一個土堤第一個 這個大概花了多少錢
transcript.whisperx[187].start 5404.099
transcript.whisperx[187].end 5424.455
transcript.whisperx[187].text 再提供再提供數字好了報告委員這個土題是一個臨時性的土題我知道那目前這個錢不多大概是幾千萬大概幾千萬因為它不是一個我知道整體附件是這樣的土題這個到底可以防範
transcript.whisperx[188].start 5427.059
transcript.whisperx[188].end 5456.5
transcript.whisperx[188].text 多大的好謝謝委員這個土堤因為有3加1的防腐就是我們有頂塊太空包跟鋼網還有這個5米高度所以整體而已我們評估大概是可以防範大概是1000每秒立方米的量大概是原來馬太安溪設計的一半的流量以一般來講每天下200毫米的豪雨等級是可以防範的好如果是
transcript.whisperx[189].start 5457.041
transcript.whisperx[189].end 5464.88
transcript.whisperx[189].text 如果在9月23号以前有这个土体的话9月23号发生这个溃坝
transcript.whisperx[190].start 5466.441
transcript.whisperx[190].end 5494.981
transcript.whisperx[190].text 這個能不能擋住到不容易我們的永久堤防比這個土堤更加的堅固很多我們當初的防範的能力是超過2040的能力大概是500或600毫米每一天的等級那這個只有200毫米這個是一個臨時堆填的所以是跟原來那個堤防是不能比的我當然 我知道原來的堤防因為我有實際去看了看了最起碼我去了六次
transcript.whisperx[191].start 5496.297
transcript.whisperx[191].end 5524.789
transcript.whisperx[191].text 原來的堤防並沒有被沖毀原來的堤防沒有被沖毀是這個堤防是好的只不過是水沖過來之後是旁邊的靠那個堤外面到那邊的這個有一些土石北巴委員2860公尺堤防從光復一號二號三號
transcript.whisperx[192].start 5525.885
transcript.whisperx[192].end 5550.704
transcript.whisperx[192].text 在靠近光復那一區的 全部都沖毀掉了有沖毀掉 全部都毀掉了所以這個部分還是沒有辦法擋住嘛 對不對是 確定未來還是要繼續這個 是 報告委員我們已經有規劃一個中長期的做法非常謝謝委員指導你們的簡報我都有看到好 那我接下來
transcript.whisperx[193].start 5555.325
transcript.whisperx[193].end 5568.718
transcript.whisperx[193].text 這個是馬太安溪災前60天的一個彭新浪教授所拍攝的當時的水流有很多是在往光復鄉這個地區我們看這是10月10號的拍攝
transcript.whisperx[194].start 5578.11
transcript.whisperx[194].end 5606.578
transcript.whisperx[194].text 你們都挖了這個蘇郡了是全部大 絕大部分都集中在中間了是中間現在我們要去思考的這個直接就往光復鄉的東復村的阿頭莫部落阿頭莫部落會有這樣的一個實際的情形
transcript.whisperx[195].start 5607.594
transcript.whisperx[195].end 5628.065
transcript.whisperx[195].text 然後我們看這個我也實際去看了這個東富村阿陀木部落的堤防沒有壞沒有被沖毀當時因為它絕大部分往光復香大馬村啊這個佛祖街那一帶了所以這裡就沒有但是它漁業了
transcript.whisperx[196].start 5629.502
transcript.whisperx[196].end 5652.082
transcript.whisperx[196].text 这个大水啊洪水超过了这个堤防所以造成了这个阿陶墨部落很多的家户包括很多的农田都被冲毁了在这样的一个情形之下我要说的是怎么样去防范因为现在它不高
transcript.whisperx[197].start 5653.388
transcript.whisperx[197].end 5681.975
transcript.whisperx[197].text 所以这个未来还是要加高吗报告委员这个我们已经加高了跟委员报告现在还没有吗已经加了什么时候在大概一两个礼拜前那因为委员特别关心我们就跟股仲副主委到现场以后跟当地讨论已经加高大概一米以上用两排的顶块来做加高加固那地方的市深大概都同意这个方向我们都加高大概将近一公里
transcript.whisperx[198].start 5682.639
transcript.whisperx[198].end 5704.707
transcript.whisperx[198].text 好 回到昨天 這是昨天的新聞馬太安菸塞浮下方河道急步崩塌 又細水所以這個前進協調所就啟動應變措施當初要撤離的是大馬村那邊的 就上游的地方的
transcript.whisperx[199].start 5705.612
transcript.whisperx[199].end 5730.687
transcript.whisperx[199].text 那這裡沒有頭目部落沒有這個部分你們要跟水利那個林業署要做好溝通到底要不要撤離報告委員因為這一個顏色虎它是一個非常小型的顏色虎經過林保署評估它的流量最大量是670每秒立方米那依照我們評估是可以因應的
transcript.whisperx[200].start 5732.236
transcript.whisperx[200].end 5756.193
transcript.whisperx[200].text 我的意思是說是因為這次撤離還是撤離這個上靠近馬灘溪橋那邊的嘛那個是大馬大馬部落那這個阿頭木部落要不要這個是要評估的是這個應該是在昨天那一場是不用因為他量很小好我們繼續這個是鳳林鎮三星部落
transcript.whisperx[201].start 5757.847
transcript.whisperx[201].end 5781.477
transcript.whisperx[201].text 堤防被沖毀了是 堤防被沖毀了我也親自去看了所以在這樣的一個情形之下這個地方還有這附近是沒有家戶了是農田所以這個部分也要積極的來去處理報告委員 這個我們已經在做了我們在做一些復建的工作是 非常謝謝委員因為這裡已經涉及到
transcript.whisperx[202].start 5782.861
transcript.whisperx[202].end 5808.497
transcript.whisperx[202].text 马太安溪还有光复溪还有什么望龙溪是所以已经到这个花莲溪了嘛对对对这我们有在作业它会更大谢谢委员指导我们有在作业所以这样的一个情形之下那这个是建英桥的上方而已建英桥的刚上游这里面也有破口所以造成了这边的一个
transcript.whisperx[203].start 5809.017
transcript.whisperx[203].end 5835.188
transcript.whisperx[203].text 一个损害所以我讲的意思是说他因为到了花莲西他已经是更多的西过来了更多西所以这里面相关的提防的相关的这些报告委员我们在这一次除了马太安西以外大概有八到十个地方都有冲毁我们都会赶在明年四月底全部完成那现在有时间我们都陆续再执行以上报告
transcript.whisperx[204].start 5835.788
transcript.whisperx[204].end 5847.694
transcript.whisperx[204].text 好 因為這個真的是衝得很大連這個阿頭墨部落的這個福德寺福德寺是吧 那個念詞嘛 福德寺
transcript.whisperx[205].start 5849.513
transcript.whisperx[205].end 5875.427
transcript.whisperx[205].text 都冲到接音桥冲到接音桥的上游所以这是表示它非常的严重所以继续努力是 我们会把相关的照片再给委员参佐你们现在新的进度也提供好 是 我们会来努力谢谢委员好 谢谢曾天才委员谢谢部长接下来我们请谢义凤委员曾天才来一下
transcript.whisperx[206].start 5878.313
transcript.whisperx[206].end 5894.18
transcript.whisperx[206].text 請鄭一鋒委員 謝一鋒委員請做詢談好 謝謝主席 我想要請工部長我們再請工部長
transcript.whisperx[207].start 5901.023
transcript.whisperx[207].end 5924.736
transcript.whisperx[207].text 謝委員好部長我想請教一下就是現在大家還是最關注的就是關稅的問題那到底美國關稅會不會有可能從28%降到15%你有沒有信心我們持續的努力當中方向上還是你被壽命不可以講你不可以爆點
transcript.whisperx[208].start 5926.198
transcript.whisperx[208].end 5949.368
transcript.whisperx[208].text 是不是你不会抱院长的梗还是抱总统的梗不是因为这个是我们努力的目标15%是你努力的目标是不是是整个这个谈判团队本来就努力的目标嘛那对美的投资是3000亿还是4000亿这个我就没有办法知道对
transcript.whisperx[209].start 5950.456
transcript.whisperx[209].end 5969.014
transcript.whisperx[209].text 是嗎政府部門公部門因為投資的部分還是由民間對 主要是民間為主台積電相關的台積電是其中之一還有生態系是不是還有EMS AI Server的一些廠商
transcript.whisperx[210].start 5970.351
transcript.whisperx[210].end 5984.161
transcript.whisperx[210].text 所以還有EMS AI Server的廠商都會去是不是對 他們有這樣的表達他們原來就在墨西哥那所以台灣廠商赴美投資有可能就是會超過三千億囉
transcript.whisperx[211].start 5986.644
transcript.whisperx[211].end 6000.679
transcript.whisperx[211].text 這個就要看廠商的盤點了拜託 你們早就在統計了是不是 經濟部一定都在統計啦是 但是這個還是個別廠商還是由個別廠商來宣布比較妥當
transcript.whisperx[212].start 6001.69
transcript.whisperx[212].end 6030.179
transcript.whisperx[212].text 那川普說台積電的你不用管那你台積電以外的相關的工業那麼多你進一步管不到嗎是不是所以那未來我們是支持他們的未來我是說未來那整體我們對美投資就是以台積電為主的這樣子的相關策略到底是決定在台灣還是決定在美國
transcript.whisperx[213].start 6031.479
transcript.whisperx[213].end 6051.5
transcript.whisperx[213].text 决定在台积电是不是决定在台湾台积电对以台湾为主是不是当然了立足台湾布局全球对是以台积电为主是不是会不会就是因为大家在担心的就是台积电会不会变成美积电不会是不是绝对不会
transcript.whisperx[214].start 6052.45
transcript.whisperx[214].end 6078.776
transcript.whisperx[214].text 你要做出什么样的做法你有什么样的做法让它不会变成美积电跟委员报告台积电事实上最多的产能最先进的技术最占钱的厂全部都在台湾所以它在台湾会持续地投资而且台积电的董事长魏哲嘉先生他也不断地说在台湾的投资的进程都没有改变比如说它在
transcript.whisperx[215].start 6080.697
transcript.whisperx[215].end 6106.29
transcript.whisperx[215].text 高雄的部分但是台中的部分竹科的部分我知道這個已經宣布的部分這個東西你已經說了就是說台灣既有的以及就是供應全球的還有我們N-1帶的嘛這個東西對不對但是我們有一個問題是去年的數字看起來我們台人赴美去工作就高達了12.8萬人
transcript.whisperx[216].start 6109.534
transcript.whisperx[216].end 6125.775
transcript.whisperx[216].text 那代表了就是是歷史新高喔那代表了整個就是半導體的相關的供應鏈鳳梅的確造成了我們人才外移的這樣一個現象你怎麼樣子減緩
transcript.whisperx[217].start 6127.612
transcript.whisperx[217].end 6142.559
transcript.whisperx[217].text 包委員據我了解就是說昨天國發會主委他說他說他的朋友也常常就是在台積電工作他們都不想去美國啊那可是問題是如果整個供應鏈
transcript.whisperx[218].start 6143.76
transcript.whisperx[218].end 6170.939
transcript.whisperx[218].text 就是说都往美国去的时候那我们台湾的人才怎么留在本地然后我们又希望吸引AI的相关的业者厂商进台湾来那要把整个AI未来的供应链都放在台湾能够让它在台湾落脚那在这样子的情况下如果我们的人才一直外移那怎么样子
transcript.whisperx[219].start 6171.539
transcript.whisperx[219].end 6186.939
transcript.whisperx[219].text 能夠確保我們台灣未來在AI的發展上有相關的競爭力呢報告委員通常人才做全球布局它是循環性的先前的幹部比如說他建廠的時候他一定把他會蓋廠的這個
transcript.whisperx[220].start 6189.202
transcript.whisperx[220].end 6208.295
transcript.whisperx[220].text 這個VP也好或是什麼先派去嘛等到他搶蓋了以後他會調回來的或是先前幹部他會先在那邊做處理處理完以後他會回來所以說他人才會一直循環的不會一直待在那邊所以你認為12.8萬是高峰會不會再更高
transcript.whisperx[221].start 6209.315
transcript.whisperx[221].end 6226.226
transcript.whisperx[221].text 這個數據我可能要會不會再更高去年12月的12.8萬是不是高峰我可能要再了解一下未來會不會往下降因為我不了解這12萬到底它的內涵是怎麼樣我可能要再了解一下才能跟您報告
transcript.whisperx[222].start 6227.375
transcript.whisperx[222].end 6247.063
transcript.whisperx[222].text 所以你也不確定可是我們必須要解決的就是我們的人才外流的這個情況但是我們現在為了招攬國外人才是非常非常的積極的所以有很多包括剛才有很多的外商來這裡設立研發中心我們也期待說他把
transcript.whisperx[223].start 6248.343
transcript.whisperx[223].end 6272.592
transcript.whisperx[223].text 有什麼外商來設立研發中心有啊 包括NVIDIA AMD啊這個重要的廠商都是啊還有微軟啊 Google啊美光啊這些都是啊就是它會帶動就是他們會有他們會有部分的是從外國來的嘛可是他們其實還是期待我們台灣能夠協助他們就是高階的人才啊
transcript.whisperx[224].start 6273.032
transcript.whisperx[224].end 6288.209
transcript.whisperx[224].text 他只有部分啦是啊是啊我們去美國投資也是要應用當地的人才啊對啊 也是希望啊所以這個有幾樣的道理啊所以台積電的就是說在美社廠的會讓美國的台積電的人才來台灣受訓是不是
transcript.whisperx[225].start 6289.808
transcript.whisperx[225].end 6312.562
transcript.whisperx[225].text 有一部分好像會是這樣子是不是來台灣受訓對會會不會還有昨天我們去車撤中心那看到了就是一些車用電子的部分還有就是汽車零組件的那在這一次的美國關稅當中其實汽車零組件受創的也非常嚴重那未來
transcript.whisperx[226].start 6313.843
transcript.whisperx[226].end 6336.569
transcript.whisperx[226].text 我們怎麼樣子協助這些汽車零組件能夠擴大就是說海外的市場那當然除了美國以外其他地區以我們半導體就是ICT相關的這樣子的一個領先的技術有沒有辦法協助我們國內的廠商搶到國際的訂單 有沒有
transcript.whisperx[227].start 6340.675
transcript.whisperx[227].end 6359.646
transcript.whisperx[227].text 報告委員我們的汽車零組件主要是aftermarket就是說等於是維修換零件那是我們非常強這個模式跟其他的競爭對手比較不一樣像韓國跟日本他們主要的零組件區域那邊供應是要組裝成乘車的他不是
transcript.whisperx[228].start 6360.226
transcript.whisperx[228].end 6385.332
transcript.whisperx[228].text 不是经营这个aftermarket的那我们是所以市场上是有一点点区隔的但是免不了因为你关税提升还是会受到伤害所以我们尽量帮可能可以脱销市场或是贷款上可以利息的减免或者是他用AI的技术来提升他的这个研发也好或者是转型也好这个我们也都会来支持那自驾车的部分呢自驾车的部分呢
transcript.whisperx[229].start 6386.739
transcript.whisperx[229].end 6397.871
transcript.whisperx[229].text 自駕車你說無人自駕車無人自駕車我們現在還在實行那無人自駕的汽車零件呢示範當中對美的部分我們有辦法嗎
transcript.whisperx[230].start 6399.29
transcript.whisperx[230].end 6418.287
transcript.whisperx[230].text 我们现在是有导入部分的这个零组件是在美国的就是它在次系统里面的零组件而已我们可能现在次系统的部分可能还是在做示范性实验对像ASDA相关的我们有办法打进去吗
transcript.whisperx[231].start 6418.647
transcript.whisperx[231].end 6430.588
transcript.whisperx[231].text 我們現在當然希望就是透過這個經濟部兩個署他們的這個計畫不管是業界科專或法蘭科專就希望把這個次系統的部分把它
transcript.whisperx[232].start 6431.53
transcript.whisperx[232].end 6455.058
transcript.whisperx[232].text 把它做起來了你才有辦法去出口到別的國家去把它模組以後出口到別的國家去是比較好的那上一次你說到了稀土是不會影響但是其實稀土還是有可能影響到我們的對不對我們半導體還有相關的無人機的相關的發展嗎
transcript.whisperx[233].start 6455.618
transcript.whisperx[233].end 6475.278
transcript.whisperx[233].text 会不会会间接的影响会尤其是无人机因为它用的这个吸毒比较是泳池性的相关那导致制造业的部分因为半导体的部分导致它现在这一次禁止的部分是没有半导体制成那个部分需要的是是啊
transcript.whisperx[234].start 6475.538
transcript.whisperx[234].end 6488.266
transcript.whisperx[234].text 跟藍這個稀土它是沒有進的是比較好但是那個部分所以我才說我們自己還是要有警覺自己透過回收的方式也好或者是我們開始做精煉或者是
transcript.whisperx[235].start 6490.411
transcript.whisperx[235].end 6508.8
transcript.whisperx[235].text 有一个保存量我们自己供应的保存量希望在2030年可以满足我们自己的三分之一以上的一些需求我们还是会做那国际供应链的部分因为我们本来是国际供应链的需求者所以我们也会配合国际供应链的相关的一些调整的做法好谢谢
transcript.whisperx[236].start 6517.608
transcript.whisperx[236].end 6527.056
transcript.whisperx[236].text 現在我們請召委 楊瓊瑩答詢謝謝主席 楊瓊瑩發言 邀請工部長召委好
transcript.whisperx[237].start 6540.168
transcript.whisperx[237].end 6562.785
transcript.whisperx[237].text 工部長 依據國貿署最新向工會轉資的公文他說美國商務部正嚴寧工具機產業納入232國安條款的調查未來有可能再以國安為由來課徵額外的關稅對台灣的工具機造成了20%在家疊加關稅
transcript.whisperx[238].start 6566.415
transcript.whisperx[238].end 6589.202
transcript.whisperx[238].text 而且这个N不知道是多少这个可以说是让我们工具机的产业又是新一波的冲击又在10月19号的报道台中产业园区产办役主的件数它是增加的这个月我们增加了将近20件工厂代售案
transcript.whisperx[239].start 6590.413
transcript.whisperx[239].end 6609.359
transcript.whisperx[239].text 所以這些廠房多屬於工具機的相關產業顯示工具機在這段時間是急凍政府目前是聚焦在半導體跟AI產業幾乎是忽視了美方已將國安
transcript.whisperx[240].start 6610.259
transcript.whisperx[240].end 6629.94
transcript.whisperx[240].text 的视角延伸触及到实际的实体的制造业所以政府对于整个供应链的战略变化警觉性似乎是严重的不足所以我本期要在这边请教面对供居基产业被纳入所谓的232国安条款的调查
transcript.whisperx[241].start 6630.841
transcript.whisperx[241].end 6639.626
transcript.whisperx[241].text 經濟部你是不是做好了這個評估要將整體性的出口的一個衝擊產業鏈的關鍵影響度究竟我們要如何的來應對這個效應尤其匯率跟關稅是製造業當中的生死線
transcript.whisperx[242].start 6650.991
transcript.whisperx[242].end 6671.429
transcript.whisperx[242].text 匯率跟關稅那政府如果沒有作為全盤的一個戰略供給機的產業勢必會成為國際博弈下的犧牲品請部長說明我想委員也有觀察到現在的確美國他把對等關稅的某些項目
transcript.whisperx[243].start 6672.185
transcript.whisperx[243].end 6690.095
transcript.whisperx[243].text 慢慢的有些項目移到232去的確是這樣不過供需區它是有這樣的說法不過232基本上它有一個調查的程序通常那個調查程序要高達可能幾個月三個月或六個月然後才會公布它可能的一些部長 我們已經從四月份
transcript.whisperx[244].start 6691.598
transcript.whisperx[244].end 6715.063
transcript.whisperx[244].text 美台開始談的時候政府第一時間叫我們好好睡覺到現在 到8月份告訴我們20加疊加關稅到現在告訴我們說10月底大概會有一個方向不知道是不是如此所以昨天總統到了我們的會展中心第一展手工具總統先生也在現場說了
transcript.whisperx[245].start 6716.943
transcript.whisperx[245].end 6740.288
transcript.whisperx[245].text 近期很快會有好的報告而且會低於20%的關稅而且是不疊加所以我再一次請教既然說本期當然是充分因為中部地區都是我們的工具機 手工具這些機械類別的扣件等零組件都是在我們這裡我們非常緊張
transcript.whisperx[246].start 6742.228
transcript.whisperx[246].end 6764.501
transcript.whisperx[246].text 所有的產業界非常的憂心你還要告訴我們說只有調查還要幾個月那你也明明知道說你也明明知道說現在列入那到底我們政府第一個請教政府昨天總統先生在我們台中會展中心所說的是不是陳儒總統先生所說的
transcript.whisperx[247].start 6768.507
transcript.whisperx[247].end 6777.169
transcript.whisperx[247].text 公布的關稅會低於20%會不會這個本來就是我們努力的方向會低於20%而且是我們正面的方向第二個不會再疊加對 這個也是我們努力的方向總統先生昨天就這麼說了說很快會告訴我們這個好的消息那你身為部長啊這個是你最重要的幕僚啊是不是誠如總統先生所說的
transcript.whisperx[248].start 6795.427
transcript.whisperx[248].end 6816.961
transcript.whisperx[248].text 那這個很快是什麼時候原本告訴我們是10月那10月底會不會告訴我們報告委員因為還是11月因為最後的這個叫做最終談判事實上還要看美國的時間跟我們的時間因為美國最近又碰到APEC現在正在進行當中所以美國還有他們要去東協
transcript.whisperx[249].start 6819.022
transcript.whisperx[249].end 6834.911
transcript.whisperx[249].text 有开会部长 人民很乖 产业很乖产业希望政府当他们的靠山大家都很乖 很努力在做事因为您之前政府告诉我们大概这个暂时禁关税大约10月
transcript.whisperx[250].start 6835.831
transcript.whisperx[250].end 6853.688
transcript.whisperx[250].text 所以當然10月已經現在已經22號了那所以我們一定要請教目前的進度到底是怎麼樣呢技術性的談判大概都已經確認了那最終就是等於是最後的這個所以請教今天10月22號10月底會不會有像總統說的很快會給我們好的訊息 會不會
transcript.whisperx[251].start 6856.39
transcript.whisperx[251].end 6869.837
transcript.whisperx[251].text 這個主要還是要看美國的時間所以你還是沒有辦法給本席這個時間我告訴你因為以我們的工具機產業為例日元它的匯兌美元匯率五年來它貶了多少 42.4
transcript.whisperx[252].start 6871.778
transcript.whisperx[252].end 6894.91
transcript.whisperx[252].text 那我方我們新台幣最貶的是3.6億%所以如果再加上美國對日本的對等關稅他們是15%我們是20%還要再加疊加在這樣的情況之下我們的差距大概10%那導致日本的機器會比台灣的機器它的價格會便宜20%到30%這個就是主要
transcript.whisperx[253].start 6898.452
transcript.whisperx[253].end 6914.984
transcript.whisperx[253].text 為什麼我們的產業這麼樣的被冷凍所以我極度嚴厲的要求政府你對於我們這些傳統產業實體的產業你務必要加強去關心去應對是不是 是
transcript.whisperx[254].start 6916.706
transcript.whisperx[254].end 6937.307
transcript.whisperx[254].text 這460億一定都是用在傳產上面說老實話不夠絕對會不夠因為這一些預算從一開始發生事情的時候我們在野就馬上提出要政府編列振興經濟方案怎麼樣來協助我們的產業對不對如果不夠的話我們還有200億可以再提出來就是部長我還是誠心您是專家
transcript.whisperx[255].start 6939.724
transcript.whisperx[255].end 6966.402
transcript.whisperx[255].text 本席認為產業要聽的是政府的政策政府的方向政府的時程這非常的重要因為總統先生昨天就已經這麼說了到現在你是經濟部長還沒辦法告訴我們那最後本席再請教您的解讀是不是賴總統所說的也就是不會宣布的時候20%的關稅會比20%更低是不是方向上是這樣
transcript.whisperx[256].start 6967.526
transcript.whisperx[256].end 6985.621
transcript.whisperx[256].text 不會疊加關稅是不是方向上原則上在10月底還是11月可以告訴國人是不是如此這個也是我們努力的目標因為產業我相信你也非常清楚等不及了我到底要不要接單我們也是很努力到底要不要接單不是你們努力的問題而是你要傾聽產業的心聲
transcript.whisperx[257].start 6987.923
transcript.whisperx[257].end 7007.717
transcript.whisperx[257].text 我到底要不要接單我到底要不要投資因為我要告訴你在金管會到8月底國營對中小企業的放款10.7兆裡頭雖然叫7月份增加了242億但是是創下重點在這裡創下了7年來同期最低
transcript.whisperx[258].start 7008.778
transcript.whisperx[258].end 7011.379
transcript.whisperx[258].text 現在他們怎麼樣呢只有還錢保生如果我們的產業是這種方式那我們的競爭力在哪裡呢我們的產業到底該怎麼樣的方向呢實際上的數字告訴你是如此啊對我們前幾個禮拜也帶了供給機業者去參加德國漢恩威的這個這是本席要求政府必須要
transcript.whisperx[259].start 7032.776
transcript.whisperx[259].end 7042.81
transcript.whisperx[259].text 好好的做產業的靠山 對不對所以你如果只有戒心來減少還舊沒有加速 只有還舊加速沒有人加救啊只有還錢保生啊
transcript.whisperx[260].start 7049.365
transcript.whisperx[260].end 7065.152
transcript.whisperx[260].text 你用數字去看啊就是我們對於我們的政策我們的政府沒有信心才會如此嗎所以用實際的數字告訴你本席具體要求你們必須要好好針對我們的傳統產業我們的實體產業96%的勞動業者勞動員工都在這裡你要好好的來照顧嘛對不對
transcript.whisperx[261].start 7084.619
transcript.whisperx[261].end 7088.36
transcript.whisperx[261].text 好 接下來我們請陳昌明委員請做巡檔 謝謝周委好 首先有請我們經濟部龔部長好 我們再請龔部長周委好 龔部長好
transcript.whisperx[262].start 7111.604
transcript.whisperx[262].end 7129.925
transcript.whisperx[262].text 你今天的经济部的业务报告这一本写得非常清楚明了那我首先就就教你经济业务报告里面就以关于苗栗的事情那我再请我们水利署的林署长水利署林署长
transcript.whisperx[263].start 7137.992
transcript.whisperx[263].end 7159.71
transcript.whisperx[263].text 現在要建一個水庫非常困難報告部長你們林市長的溝通能力非常好他對拜訪苗栗縣然後要如何建水庫把那些相信說服的都說歡迎趕快來建但是我今天看你們的關於天花湖水庫的預算都沒有編
transcript.whisperx[264].start 7160.932
transcript.whisperx[264].end 7168.287
transcript.whisperx[264].text 林市長你不要只聞樓梯響不見人蹤影你不要去騙我們地方的鄉親為什麼沒有編列預算
transcript.whisperx[265].start 7172.678
transcript.whisperx[265].end 7201.918
transcript.whisperx[265].text 包括我们委员你沟通能力好但是我是看你人脸实在应该讲话不会骗我才对对 委员因为这个你很关心那我跟您报告其实都有在进展现在天然汽水库我们预计年底这边就会开始来呈报行政院来走后续的程序是今年年底还是明年年底今年年底好啊 你报告需要给我小的不然人家再问我都不晓得怎么回答是 这个也是我们列为重点工作部长 要不要全力的支持
transcript.whisperx[266].start 7202.658
transcript.whisperx[266].end 7204.739
transcript.whisperx[266].text 我請台電的曾董事長我們請台電曾董事長
transcript.whisperx[267].start 7231.417
transcript.whisperx[267].end 7245.531
transcript.whisperx[267].text 因為我節目一條一條給你們那個尊董事長我看到你一個報告說未來台灣AI的大四季中心最好建在電廠的附近你有這樣的報導有沒有這樣的事情
transcript.whisperx[268].start 7246.498
transcript.whisperx[268].end 7261.465
transcript.whisperx[268].text 我是說要建在電源端那電源端就是電廠要建在哪裡電源端電源就是電廠的附近嘛好那今天這個部長我是地方產業我們那邊有苗栗通宵火栗花電廠
transcript.whisperx[269].start 7262.871
transcript.whisperx[269].end 7285.053
transcript.whisperx[269].text 在苗栗 我們也準備要來設立AI大四季的中心到那邊那邊是所有台中以北土地最便宜而且最適合條件如果我們提出來 經濟部要不要支持我們你們台電董事長說大四季中心最好建在電廠的附近要給我們支持嗎
transcript.whisperx[270].start 7289.008
transcript.whisperx[270].end 7301.22
transcript.whisperx[270].text 包委員因為這個數據中心有分兩個部分一個是公家的最多的是私人部門的那私人部門的公家私人的話在那邊是最好的
transcript.whisperx[271].start 7302.199
transcript.whisperx[271].end 7319.074
transcript.whisperx[271].text 我把它從台中以北算一算設在苗栗最好的不曉得你答話還是要設在南部等一下我還有問題要問不要一面的往南邊跑你都照顧苗栗我看你我當到經濟委員會看你一直在做
transcript.whisperx[272].start 7319.995
transcript.whisperx[272].end 7338.984
transcript.whisperx[272].text 大觀而且是當朝的紅人啊但是我覺得你沒有在幫我們苗栗幫忙你說往南部啊我去苗栗不是 我今天這個重點講得很簡單如果我們苗栗有火力發電廠我們要設立台中以北的大四季中心
transcript.whisperx[273].start 7340
transcript.whisperx[273].end 7355.028
transcript.whisperx[273].text 你們要不要全力支持因為現在大蘇區中心是國科會在你們以前連講說北部不能再設了我只要抓緊這個區區因為電的供應量不夠只要苗栗的電量供應最多的
transcript.whisperx[274].start 7356.108
transcript.whisperx[274].end 7377.864
transcript.whisperx[274].text 我這個時間跟你討論得這麼久我還有很多問題要問的你不要這樣搞我可以把委員的這個想法跟意見轉達給國科會我覺得委員講的也是有道理有道理你講話國科會會聽因為你以前在國會包括業主委我看起來都是你的徒弟為什麼你們寫的這種業務報告都是一樣的
transcript.whisperx[275].start 7381.627
transcript.whisperx[275].end 7383.81
transcript.whisperx[275].text 你從國會的執委到行政院的秘書長到現在經濟部長
transcript.whisperx[276].start 7400.177
transcript.whisperx[276].end 7421.591
transcript.whisperx[276].text 大溪谷計劃有三個苗栗 鳳龍產業園區還有竹蘭第二期科學園區的推展還有桃園的科學園區我經濟部鳳龍的科技產業園區我已經解決了經濟部當委問第四頁主管器官但是你比我大
transcript.whisperx[277].start 7423.112
transcript.whisperx[277].end 7447.346
transcript.whisperx[277].text 我千拜託萬拜託我發覺不理你 你當行政院秘書長就躲起來還好你來當經濟部長 我可以天天盯著你我一直跟你拜託你那邊是國科會主導的一個 主管目的實業機關我請你幫我們協調 你都不吃麵南部要一個什麼 你都比誰還快
transcript.whisperx[278].start 7449.451
transcript.whisperx[278].end 7476.977
transcript.whisperx[278].text 苗栗要一個什麼你就這樣偷偷拉拉的我實在這一次還好你來到這部部長我隨時能看到你因為你做過這些事情你最清楚你要不要再幫我們協調一次你接你的劉俊興指揮他卸任的當天早上7點鐘發了一個給我說他很抱歉這個沒有幫我協調成功
transcript.whisperx[279].start 7478.502
transcript.whisperx[279].end 7504.699
transcript.whisperx[279].text 现在行政院秘务司长现在你经济部长要不要帮我协调报告委员分成两个部分一个部分你又分成好几个部分我不晓得要听你哪一个部分现在就是比如说厚龙的部分这个是我们经济部主管我协调完了你们那些很优秀都全力的帮忙但是如果要跨到这个国科会的部分那那个部分我们就只能
transcript.whisperx[280].start 7505.717
transcript.whisperx[280].end 7526.734
transcript.whisperx[280].text 轉達或是希望國發會來做協調你聽我說的大溪谷計畫是由你國發會執委你當時的執委提出來的然後到現在已經一年多了你在當行政院長的時候我碰到這個問題我請你協調說得不好意思你有一點不理不睬
transcript.whisperx[281].start 7527.836
transcript.whisperx[281].end 7549.153
transcript.whisperx[281].text 你做行政院秘書長 我要把你撐起來你說我很忙 我沒有空這都不會做 因為我很老實的人所以這一點 當然你政治部長現在管不上但是你以前的影響力還在我是要用這樣 要我倒數嗎好啊有啦有啦 好啦 你這樣說我相信你現在在這裡說話
transcript.whisperx[282].start 7553.96
transcript.whisperx[282].end 7578.263
transcript.whisperx[282].text 還有再來回答在台北市總部大概三公頃現在怎麼樣他們因為我們經濟部被要求的是說希望在10月24號之前如果17 18如果沒有談妥的話我們盡快的可能備選的這個基地可以提供給這個
transcript.whisperx[283].start 7579.434
transcript.whisperx[283].end 7603.552
transcript.whisperx[283].text 回答參考這樣回答參考啊你也再幫我一次啊其實不一定在台北歐苗栗縣有一塊土地非常漂亮走到高鐵用走路了只有兩分鐘20公頃又便宜又好你不但研發中心可以設立包括他的司科特包括他招待的外賓是
transcript.whisperx[284].start 7605.171
transcript.whisperx[284].end 7631.713
transcript.whisperx[284].text 都可以在那邊設立來促進我們苗栗產業的發展你記得那個地點離新竹科學園區工研院高鐵的話坐了大概16分鐘開車大概20分鐘在台中科學園區大概25到30分鐘交大 清大都在旁邊
transcript.whisperx[285].start 7633.257
transcript.whisperx[285].end 7652.061
transcript.whisperx[285].text 你給我們引薦一下不一定選在那個地方而且給他那麼風光明媚非常的好那委員我們的態度是這樣我們會盡量多提讓他去參考反正這個是他決定的但是我們可能的這個基地我們都提供給他參考
transcript.whisperx[286].start 7656.395
transcript.whisperx[286].end 7672.669
transcript.whisperx[286].text 可以不可以我們會我們會如果好謝謝你今天講的三件都可以我本來七八件要問你的好今天到此為止三件答應我就很滿足了希望能承諾下來幫我完成好不好好謝謝好謝謝好接下來我們請大陸人委員請做詢問
transcript.whisperx[287].start 7684.656
transcript.whisperx[287].end 7685.8
transcript.whisperx[287].text 好 謝謝趙薇然後請龔部長我們請龔部長
transcript.whisperx[288].start 7696.289
transcript.whisperx[288].end 7722.458
transcript.whisperx[288].text 這個AI的新十大建設啦這個相當重要啦那我看到其實矽光子的研發中心這個部分AMD已經很久了啦這個大概談了一年多的時間跟整個整體的合作啦所以我想他現在就正在蓋廠當中正在蓋廠那我說他這個座落在高雄這個部分
transcript.whisperx[289].start 7723.038
transcript.whisperx[289].end 7744.349
transcript.whisperx[289].text 我們談了很長的時間了嘛所以已經開始蓋廠經濟部也給予一定的支持跟協助我想這一塊就是對我們來說就是把輝達跟AMD留在台灣當然他們選擇哪個地點我們就全力的協助他們這應該是最符合整個台灣的利益那也很高興就是AMD又選擇了高雄所以我想這一塊
transcript.whisperx[290].start 7745.75
transcript.whisperx[290].end 7768.53
transcript.whisperx[290].text 已經開始在蓋廠了嘛那也請經濟部持續的大力來協助啦就是說AMD的選擇它現在包括在台南在高雄的雅灣都有做了一些選擇那我希望後續上持續來大力推動特別是我們本來就把雅灣的智慧科技創新園區也定位成是我們AI一個重要的重鎮那我們當然希望這一塊
transcript.whisperx[291].start 7769.37
transcript.whisperx[291].end 7788.502
transcript.whisperx[291].text 它的不管是電力或者是土地各方面都很充沛的狀況下我們希望全力發展來厚實我們整個台灣的一個競爭力當然希望AI能夠成為我們下一個護國群山不只半導體我們有更多的護國群山能夠出現那AI是大家現在都普遍看好所以我相信這個時間來投入這個點是正確的
transcript.whisperx[292].start 7790.743
transcript.whisperx[292].end 7805.943
transcript.whisperx[292].text 所以我再次跟部長確定一下就回答AMD跟這個西光池的研發中心的部分在高雄這個是定案的嗎確定沒問題他們已經在推動當中好那這個部分當然也是配合我們的Aplus計畫裡面Aplus計畫裡面的這個我想後續持續來推動
transcript.whisperx[293].start 7809.167
transcript.whisperx[293].end 7830.222
transcript.whisperx[293].text 那除了這個以外我也想要請教一下我們的無人機其實也是一個重要的產業那政府也要投入442億未來2030年創造400億的一個經濟產值那我們都知道其實高雄特別是北高雄這邊有漢祥同時間也有我們的金工中心
transcript.whisperx[294].start 7832.003
transcript.whisperx[294].end 7859.194
transcript.whisperx[294].text 包括無人機甚至無人船的部分在無人機無人船這個都是一個新的很重要的產業我們有台船有中信等等很多造船產業在高雄也非常強那這個部分會加大力道嗎在高雄的部分特別是北高雄的所謂的無人機的產業鏈或者是在整個高雄的無人船的產業鏈會持續來加大力道強者讓他更強更具有國際競爭力
transcript.whisperx[295].start 7860.595
transcript.whisperx[295].end 7885.882
transcript.whisperx[295].text 是 可以 這個會來朝這個方向來推因為本身就已經具有相當好的一些條件我們來看這個無人機的部分你看其實已經有台灣有16個業者已經有加入到了這個無人機的海外商機的聯盟那當然它本身也包括漢翔的部分包括金工中心都在這邊那無人船的部分其實我們有
transcript.whisperx[296].start 7887.182
transcript.whisperx[296].end 7901.714
transcript.whisperx[296].text 包括台船包括中信甚至於周邊很多的造船產業都很強所以我也希望這一塊請經濟部持續加大力道在無人機這一塊特別是在不管是從國家的安全角度中產業的角度其實都很有很大的潛力
transcript.whisperx[297].start 7904.015
transcript.whisperx[297].end 7929.444
transcript.whisperx[297].text 高雄的北高雄有漢翔有金工中興等等然後有台船有中信我希望強上加強讓我們的無人機無人船的產業在高雄能夠更快速的發展那也符合整個國家整體的利益部長這個沒問題嗎沒問題好謝謝我們再來看一下高雄市整體的發展上面過去我們只有工業主要以工業為基礎但現在我們的S郎代慢慢拉起來後
transcript.whisperx[298].start 7930.104
transcript.whisperx[298].end 7946.306
transcript.whisperx[298].text 我們的工業除了我們的鋼鐵石化電力造船在高雄都是強項電力高雄往外縣市供應我們還持續在增加新的電廠所以我們基礎產業強以外我們現在的半導體產業也拉進來了那也持續在增強
transcript.whisperx[299].start 7947.307
transcript.whisperx[299].end 7975.784
transcript.whisperx[299].text 那經濟部在高雄就有13個園區其實是重鎮非常重要的一個地方我也希望部長持續的加大對高雄這個招商跟投資的力道包括現在講到的矽光子的研發基地在雅灣包括無人機的產業鏈在北高雄整個群聚的一個效果我們希望都能夠帶動那配合AI配合半導體產業我們希望整個活絡高雄讓高雄的這個產業鏈能夠更加的強大部長這個沒問題吧沒問題
transcript.whisperx[300].start 7978.226
transcript.whisperx[300].end 8003.904
transcript.whisperx[300].text 好 謝謝部長部長一句沒問題大概我就全部都接收了我都接收那希望因為這個剛剛委員講的就是高雄現在發展都在進行式剛剛引進這個高科技產業包括半導體AI這個已經在進行式了那矽光石的部分剛剛AMD也開始進駐了那無人機剛剛也有一些基礎的發展所以這個都是在進行式的我們只要政府我們
transcript.whisperx[301].start 8004.384
transcript.whisperx[301].end 8026.11
transcript.whisperx[301].text 注入資源推他們一把我想就會發展得很好我也希望部長持續加強力道啦給他們更多的支持給他們更多的資源的時候他們就會發展得更好是好不好這請部長就持續的能夠加大這個力道在預算上在政治上面持續加大力道是是是好謝謝部長那接下來我要問一下啦大林埔千春其實我們談了很多次了啦那
transcript.whisperx[302].start 8028.21
transcript.whisperx[302].end 8053.747
transcript.whisperx[302].text 這個明年度要編列60億嘛明年度要列60億的經費那明年第二季要啟動協議架構的程序嘛那接下來4月份要進行道路的工程這個都是既定的程序嘛是是是我希望包括接下來有很多的像環評或都計的這些的我也希望能夠部長能夠協調各單位加快跟環保環境部跟整個內政部都能夠加快程序啦不然從2018年蘇院長合併到現在已經將
transcript.whisperx[303].start 8058.17
transcript.whisperx[303].end 8084.06
transcript.whisperx[303].text 八年過去了那如果再持續的拖下去百姓真的會等太久了我希望這一塊請部長協調一下兩個部會間加快那個程序現在比較沒有因為之前都是在您這邊提到全方位照顧鄉親權益那時候鄉親的權益一直在先簽尊先談好補償等等一些情況那我想那個部分已經告一段落了那明年就可以開始所以速度就會加快好
transcript.whisperx[304].start 8084.44
transcript.whisperx[304].end 8110.75
transcript.whisperx[304].text 那我希望這個部分能不能在因為已經也經過很長時間了齁2027年正式來啟動千春部長朝這個方向來做好不好2027年好不好一定要朝這個方向來完成啦因為相信你等待很久2018年核定經過了10年如果還沒辦法啟動明年的第二季是協議架構但是協議架構完跟千春還有一段距離啦我希望
transcript.whisperx[305].start 8111.13
transcript.whisperx[305].end 8139.773
transcript.whisperx[305].text 2027年部長有承諾了2027年我們正式來啟動千村好不好我們給大林埔鄉親一個明確的一個交代了部長沒問題嗎好的好的好好謝謝部長謝謝好謝謝接下來我們請呂玉玲委員請做詢問謝謝謝謝主席請工部長我們再請工部長
transcript.whisperx[306].start 8148.037
transcript.whisperx[306].end 8171.612
transcript.whisperx[306].text 部長 美國已經在8月7號已經宣布對台灣實施20%的暫行稅率那剛剛有聽到好消息說會有更好的消息那更好的消息應該就是降低這個稅率跟讓我們疊加稅率也能夠得到豁免對不對那美國其實對等關稅對台灣的這個政策而言我們
transcript.whisperx[307].start 8172.412
transcript.whisperx[307].end 8193.985
transcript.whisperx[307].text 看到的是有兩個含義第一個就是希望消除了對台灣的貿易的逆差第二個就是對台灣半導體供應鏈能夠擴大到美國去投資除了可以給美國人就業的空間跟經濟的產值最關鍵的還是美國希望能夠掌握半導體晶片跟產能的關鍵技術對不對
transcript.whisperx[308].start 8196.267
transcript.whisperx[308].end 8218.85
transcript.whisperx[308].text 那在最近美國的商務部的部長這個盧特尼克他有提出來台美晶片製造五五分這件事情我們當場我們也是已經拒絕了但是我們擔心說我們在拒絕當下他會不會對我們產生就是有
transcript.whisperx[309].start 8219.351
transcript.whisperx[309].end 8230.093
transcript.whisperx[309].text 更多的威胁跟让我们的这个在谈判当中会不会就在试探我们的底线或者是说看到底我们会不会同意这问题吗
transcript.whisperx[310].start 8232.096
transcript.whisperx[310].end 8257.046
transcript.whisperx[310].text 美國他的想法當然是高階晶片他自己需要的部分某一部分可以在美國生產這是他的想法但是對我們來講的話我們最先進的半導體的技術要留在台灣最大的產能也會留在台灣因為我們供應不只是美國我們供應給全世界所以這個先進製程的產線我們會比美國多得非常多
transcript.whisperx[311].start 8258.146
transcript.whisperx[311].end 8287.664
transcript.whisperx[311].text 所以部长台湾在半导体领域里面是我们这地位是在国际上占有一席之地尤其是二奈米的先进制程我们将近有九成对不对是九成在国际的市占率所以这也就是我们台湾要建构成这个细钝最重要的一环所以要请部长在这边一定要坚守着我们的核心产业的技术绝对不能妥协一定这个五五分的这个晶片的问题是是是好
transcript.whisperx[312].start 8287.984
transcript.whisperx[312].end 8307.111
transcript.whisperx[312].text 那接下來的話就是美國目前他對中國大陸課徵了55%的這個對等關稅是算是全球最高他是為了要報復美國的這關稅的壓力大陸最近也提出來了在12月要擴大稀土礦物的這個出口的
transcript.whisperx[313].start 8307.911
transcript.whisperx[313].end 8335.204
transcript.whisperx[313].text 管制那連續在這個這四月以來大概有兩波了那我們看到在我們的晶片方面在稀土方面你們說這個應該是不會在這個項目裡面是不同項目啦對不對那但是我們擔心的就是無人機的部分無人機他們所需要的這個成分的話剛好就是我們大陸正在限制這個那個項目是混合的對不對
transcript.whisperx[314].start 8336.424
transcript.whisperx[314].end 8361.814
transcript.whisperx[314].text 是 不過這一個部分因為全世界都已經開始提它的替代方案所以我們有提出替代方案嗎因為我們是間接需求所以我們要跟國際的供應鏈間接需求還是有需求如果沒有這個材料我們還是有困難對 所以我們要跟國際供應鏈他們的步調一致所以在這方面的話我們有沒有做重新的調整有 就是說怎麼樣配合國際供應鏈的調整
transcript.whisperx[315].start 8365.356
transcript.whisperx[315].end 8374.466
transcript.whisperx[315].text 他们因应做法我们会来配合那第二个就是说我们自己我们自己可能要保有我们自己需求一部分我们国内的
transcript.whisperx[316].start 8375.29
transcript.whisperx[316].end 8394.975
transcript.whisperx[316].text 这个自己自足量我们自己开始有这样利用回收的部分利用回收所以是工研院还有针对这个废弃的那个电器的话做精炼的提炼来供应我们的产业的需求这个技术已经成熟了啦这样子的提炼产量就够吗
transcript.whisperx[317].start 8395.855
transcript.whisperx[317].end 8423.18
transcript.whisperx[317].text 它现在是公斤级现在要转给这个企业界企业界他们量可以做得比较大做更大所以在这方面我们要请这部长一定要重视这个无人机这个问题该做适当的调整我们还是要做适当的调整才不会影响这个产业的发展好不好无人机整个产业链的发展那接下来跟部长所提的就是汽车是美国最有非常重要的工业品项他特别也提到我们的
transcript.whisperx[318].start 8424.12
transcript.whisperx[318].end 8445.098
transcript.whisperx[318].text 进口关税我们双方在交涉当中希望能够调降目前的进口关税是大概在17.5%那有没有可能会在美国这进口关税上调整为零关税个别项目这个我就不是那么清楚了已经有在谈了
transcript.whisperx[319].start 8446.524
transcript.whisperx[319].end 8475.182
transcript.whisperx[319].text 經濟部長不清楚對 它是一個談判的項目沒有錯但是個別項目的部分這個就比較不清楚為什麼會這樣講呢因為中華賓士他們特別有在提到如果說零關稅的話對他們一些其他進口車包括歐系的中華賓士就是歐系的還有日系還有韓系的車子他們都影響非常非常的大那如果說有這種情形發生的話那其他各國可能會
transcript.whisperx[320].start 8475.802
transcript.whisperx[320].end 8492.767
transcript.whisperx[320].text 像我們世界貿易組織這個WTO來控告我們違反了貿易自由的所以會這樣發生那部長你對這個看法怎麼說因為美國的關稅跟各國都在談判然後有個別有個別的不一樣那如果說
transcript.whisperx[321].start 8494.41
transcript.whisperx[321].end 8518.735
transcript.whisperx[321].text 臺灣如果這樣要因此而被告的話那所有的國家都會被告會這樣子提部長你沒有發現最重要問題如果美國的進口車是零關稅大家就經過美國然後再進來臺灣這樣洗產地的方式進來就會影響整個不行就是說你如果要算是美國製的話他有一定的比例他的附加價值至少要35%以上他在美國設廠從美國那邊進來啊
transcript.whisperx[322].start 8521.135
transcript.whisperx[322].end 8537.053
transcript.whisperx[322].text 它要在美國製造啊是啊在美國製造就算是美國車沒有錯在台灣製造就是台灣車部長還有最重要的你知道說我們台灣的車子在我們台灣組裝的進口車在台灣組裝的產業大不大
transcript.whisperx[323].start 8537.754
transcript.whisperx[323].end 8557.354
transcript.whisperx[323].text 你知道吗不小 对所以关于这个部分将近有30万的汽车跟我们的零件组织的供应链从业人员我们有将近30万包括零组件对 零组件所以都在我们这边如果你从不从美国设厂从美国进来西陕地进来那我们30万的从业人员
transcript.whisperx[324].start 8557.995
transcript.whisperx[324].end 8571.024
transcript.whisperx[324].text 那怎麼辦呢不會讓他洗產地啦所以你要嚴格保管你有什麼做法你有什麼做法海關本來就會他要因為他就是我們跟美國談判美國人也
transcript.whisperx[325].start 8572.045
transcript.whisperx[325].end 8596.662
transcript.whisperx[325].text 也不允許我們洗產地所以這是對等的啦所以部長一定要確保市場的公平跟國內產業的生存空間我們可以的做法就是說在原產地原產地品牌的認證做一個配套是不是品牌的認證好不好這點要嚴格把關保護我們的產業就是確認它是不是美製的好 謝謝謝謝
transcript.whisperx[326].start 8602.045
transcript.whisperx[326].end 8628.372
transcript.whisperx[326].text 接下來我們請賴世保委員請做詢談謝謝主席有請我們的工部長我們再請工部長老闆好你好我只有兩個簡單問題第一個
transcript.whisperx[327].start 8632.524
transcript.whisperx[327].end 8648.636
transcript.whisperx[327].text 賴總統說有好消息應該就講關稅有好消息好消息是不是就是確定兩件事情 確定一下是不是關稅不再跌加20%往下降 是不是
transcript.whisperx[328].start 8650.539
transcript.whisperx[328].end 8675.198
transcript.whisperx[328].text 方向上是這樣 對不疊加然後往下降那最多能降多少呢我認為了不起跟韓國日本一樣啊降到15%啊15%是最低的啦如果是順差國15%是最低的啦就降到15%嘛所以最好的情況就是不疊加降到15%確定嘛但是我要強調的一點是
transcript.whisperx[329].start 8678.553
transcript.whisperx[329].end 8705.723
transcript.whisperx[329].text 是時間點啊timing啊我們從4月5月開始談哇那時候好了不起喔我說台灣全世界前四個國家有五個國家能夠跟美國談關稅結果一談談到現在好幾個國家都已經確定了我們一直沒有確定有一種講法坊間一個講法媒體有一種講法就說啊因為在
transcript.whisperx[330].start 8707.188
transcript.whisperx[330].end 8729.233
transcript.whisperx[330].text 川習會會面之前台灣不會搞定一定要之後才搞定即便你現在講了什麼什麼什麼之類的之後就等於說我們還是在被中美的談判的框架裡面我們還是被制約的照理講賴總統如果講這麼好的消息出來
transcript.whisperx[331].start 8730.153
transcript.whisperx[331].end 8749.583
transcript.whisperx[331].text 趕快去搞定啊這兩天就把它確定了啊對不對 結果現在看起來就是要等到APEC之後等於是川習見了面以後台灣再搞定這個事情你覺得怎麼樣巴爾委員的確是有這樣的說法這是時間上確定嗎這個是時間上有這樣的說法就是說可能他比較優先的因為
transcript.whisperx[332].start 8756.867
transcript.whisperx[332].end 8785.188
transcript.whisperx[332].text 美中的這個貿易比較複雜而且量比較大我們不複雜所以時間上來講的話時間上來講的話他可能會比較來處理對中的事某種程度就是我們的重要性不如中國大陸嘛很清楚吧就這樣子啊我們的半導體是全世界最好的我知道哪裡只有半導體啊那其他他要希望大陸的稀土啊
transcript.whisperx[333].start 8786.028
transcript.whisperx[333].end 8802.079
transcript.whisperx[333].text 還要希望大陸買他的大豆啊 對不對他的大陸籌碼多啊 我們的籌碼少啊我們籌碼就一個晶片 相關產業但是報告委員我們跟美國人談的部分你所謂的框架是沒有在中國的框架之下
transcript.whisperx[334].start 8802.819
transcript.whisperx[334].end 8824.272
transcript.whisperx[334].text 事實是完全不一樣你剛才同意啦 就是在他後面啦那是時間 時間的關係時間對他在他後面啦但是談判的內容框架是沒有的我們談是在前面談耶為什麼要在後面內容上是完全無關我知道啦 但是你就說我們談在什麼樣就是很讓人很嘔的地方啦我們就照著概供啊
transcript.whisperx[335].start 8825.732
transcript.whisperx[335].end 8838.615
transcript.whisperx[335].text 而且台美關係不是很好嗎結若磐石嗎怎麼會擺一擺擺到後面去了談判也有彼此的堅持還是要有時間因為我們也有我們的堅持我們有堅持嗎我們都循環啊我們能夠談到你剛剛講的不疊加如果確定可以談到15%嗎
transcript.whisperx[336].start 8845.788
transcript.whisperx[336].end 8872.918
transcript.whisperx[336].text 努力啦 努力 方向不是 確定啦 是不是確定不是 這個是我們努力的方向你剛剛確定喔你剛剛跟我確定喔 這個是我們努力的方向我們努力的方向 對但是要付出什麼代價蕭美錦副總統是講啦代價就是我們整個晶片的supply chain都過去啦 對不對從上面的design到今年代工到整個封裝伺服器通通過去啦你變成這樣子
transcript.whisperx[337].start 8874.458
transcript.whisperx[337].end 8886.662
transcript.whisperx[337].text 台灣半導體的生態系還是會留在台灣而且還會壯大你知道這樣一來的話有幾家廠要去你知道嗎沒有 台灣的半導體的生態系你跟我講 因為我時間不要佔用後面的時間是有幾家廠要過去 有幾家沒有 我們知道的就是說他會去投資美國並不表示要搬過去不是這樣的意思
transcript.whisperx[338].start 8897.199
transcript.whisperx[338].end 8905.147
transcript.whisperx[338].text 投資這某種程度 你是程度差別而已啦因為台灣也會壯大 台灣壯大除了台積電供現金有超過一兆以上很多的supply chain沒有啊包括比如說封裝廠 它有這麼多現金嗎伺服器的代工廠有這麼多現金嗎它整個都是supply chain的一環
transcript.whisperx[339].start 8920.563
transcript.whisperx[339].end 8933.419
transcript.whisperx[339].text 他還沒有這麼多錢啊可以說我在台灣一個在美國一個他整個來講別忘了如果這些補那麼多過去的話我看到的是什麼台灣的年輕人下一代我們下下代
transcript.whisperx[340].start 8934.69
transcript.whisperx[340].end 8956.293
transcript.whisperx[340].text 他們的工作機會會大幅減少我看到的是這個東西現在台灣的高科技產業是缺人才所以還缺很多所以我們需要更多的人才所以只要你一直沒有回答我就告訴你整個supply chain是數百家到上千家的supply chain整個我們看到的是都過去我不相信說
transcript.whisperx[341].start 8957.774
transcript.whisperx[341].end 8974.226
transcript.whisperx[341].text 我們所有的數百家上千家都可以說台灣一個廠 美國一個廠沒有上千家啦我不相信沒有這麼厲害啦除了台積電幾個幾個很大的廠所以這個去美國投資如果這家公司不賺錢他就不會去啊
transcript.whisperx[342].start 8975.026
transcript.whisperx[342].end 8980.688
transcript.whisperx[342].text 他為什麼要去 如果不賺錢我幹嘛去那邊投資我們副總統已經講了 都說要去的啊就這樣講啊所以他是跟國內跟國外部長 那因為委員很關心你詳細再跟委員說明清楚謝謝接下來我們請王育民委員請做詢問 謝謝
transcript.whisperx[343].start 9002.107
transcript.whisperx[343].end 9005.251
transcript.whisperx[343].text 谢谢主席我们有请工部长我们再请工部长谢谢
transcript.whisperx[344].start 9012.333
transcript.whisperx[344].end 9034.309
transcript.whisperx[344].text 黃委員好部長好 昨天在院會質詢的時候 我有問到根據水庫管理辦法我們任何的計畫送來核准一次只能三年喔但是你們的光電板 你們自己一核就核了七年喔我今天要在這邊正式的問部長請問你是根據哪一個法條可以
transcript.whisperx[345].start 9035.43
transcript.whisperx[345].end 9041.321
transcript.whisperx[345].text 超越這個水庫管理辦法的三年的限制然後直接核准洗碗 哪一個法條 請具體說明
transcript.whisperx[346].start 9043.291
transcript.whisperx[346].end 9070.296
transcript.whisperx[346].text 報告委員這邊講第五條對不對續審時間下月十一其行為人應該向管理機關申請許可那如果他本身是管理機關的話就不是這個是適用第五條了因為農業部他本身是管理機關所以他可以在這個水庫上你是依據哪一個法條這樣子講的在所有的水庫管理辦法哪一條就是說他是管理人的話可以不適用這個辦法因為第五條
transcript.whisperx[347].start 9070.956
transcript.whisperx[347].end 9096.389
transcript.whisperx[347].text 第五條你告訴我是哪一條不是第五條就是不適用管理機關你告訴我是哪一條啦我們依法論法嘛你直接講出嘛就哪一條嘛如果說你有訂另外一個規定這個來超越這個辦法這個我接受嘛請問你是用哪一條他是管理機關是本於全責他的辦理所以管理機關就不用嘛好那我要開始答聯你了請注意看喔
transcript.whisperx[348].start 9098.508
transcript.whisperx[348].end 9120.996
transcript.whisperx[348].text 這個經濟部你知道除了水庫管理辦法之外每一個水庫自己還有執法對不對這個我手上的是經濟部核准的你們自己公告的烏山頭水庫它的蓄水範圍及申請許可事項你們後來在執法裡面有把光電板放進來了特別針對公告事項有針對光電板
transcript.whisperx[349].start 9121.696
transcript.whisperx[349].end 9141.604
transcript.whisperx[349].text 但是在你們的公告裡面清清楚楚你的管理機關以烏山水庫來講是嘉南管理處光電廠商要不要送申請 要白紙黑字寫得非常的清楚結果你昨天的新聞稿根本是亂七八糟
transcript.whisperx[350].start 9143.304
transcript.whisperx[350].end 9162.653
transcript.whisperx[350].text 進行扭曲這個你自己公告的執法你說我只要是我今天加難管理處我就不需要審核不需要有計劃我愛怎麼做就怎麼做事情不是如此啊他們要有一套審核標準對啊 那你審核的標準你不是按照水庫管理辦法來嗎
transcript.whisperx[351].start 9163.934
transcript.whisperx[351].end 9182.527
transcript.whisperx[351].text 那個期限你有在任何的執法裡面說只要是光電廠商一下子我就可以給7年我可以超越水庫管理辦法沒有啊我們今天是依法論法嘛這個經濟部你作為主管水庫的你這個所有的辦法都是你頒布的
transcript.whisperx[352].start 9182.927
transcript.whisperx[352].end 9206.072
transcript.whisperx[352].text 你不可以自己頒布這樣一個辦法那今天被委員發現說你在核可這些太陽光電的時候你都超越了水庫管理辦法你一核就核給七年你按照你的水庫管理辦法你就是一次最多三年然後你下一次要再經過你們的同意但是你們現在公告的連這個執法
transcript.whisperx[353].start 9208.752
transcript.whisperx[353].end 9220.406
transcript.whisperx[353].text 你們都要違反然後昨天在說什麼只要是我們管理單位我們設的這一些光電板這個通通都不適用於這個水庫管理辦法
transcript.whisperx[354].start 9221.744
transcript.whisperx[354].end 9246.227
transcript.whisperx[354].text 這是違法的你們經濟部到底有沒有法務人員這樣子那個新聞稿可以發出來另外一個很離譜的你們說什麼你們說這一些光電板都是水利水利署相關管理單位的財產你們有沒有去看過業者跟你們訂的契約在契約裡面光電板是廠商有的還是你們相關管理單位有的都亂說一通昨天那個新聞稿是誰發的哪個單位發的
transcript.whisperx[355].start 9249.811
transcript.whisperx[355].end 9265.699
transcript.whisperx[355].text 誰寫的 哪個單位發出來了有沒有很嚴謹的去審核昨天在院會我就講得非常清楚昨天院長也說要回去好好的檢討結果你們就急著出手
transcript.whisperx[356].start 9267.039
transcript.whisperx[356].end 9293.276
transcript.whisperx[356].text 這樣一個新聞稿真的是你們把自己作為一個管理機關的高度做小了我請問如果你這樣胡亂解釋一通你未來怎麼去管理那些要來跟你深設計畫的相關單位你自己都違法在先你有什麼立場跟資格去管理其他的計畫呢我覺得這件事情針對第五條這個部分因為它的確是不適用這個第五條的辦法
transcript.whisperx[357].start 9294.076
transcript.whisperx[357].end 9309.653
transcript.whisperx[357].text 不適用 是你們自己解釋的啊你們自己的執法裡面也都沒有說不適用啊他本身就是管理機關 什麼管理機關跟管理機關自己申請你是委託光電廠商來設置光電板部長你不要越講越離譜了他是約束那一個申請人
transcript.whisperx[358].start 9310.694
transcript.whisperx[358].end 9335.774
transcript.whisperx[358].text 你不要越講越離譜了你自己的執法裡面都還叫這一些來生設光電板的你要送計畫要來經過我的許可絕對不是你們說完全不需要許可我希望這件事情經濟部你好好的去檢討昨天在院會院長已經裁示了要求你們檢討你們就好好的檢討有疏漏的以後就不要再犯但是千萬不能硬拗謝謝謝謝
transcript.whisperx[359].start 9341.034
transcript.whisperx[359].end 9366.1
transcript.whisperx[359].text 謝謝王委員謝謝龔部長我們繼續請盧縣議委員請做詢問主席有請龔部長跟水利署黃副署長好我們請兩位署長你要上台的時候主席台對對謝謝
transcript.whisperx[360].start 9369.435
transcript.whisperx[360].end 9379.153
transcript.whisperx[360].text 部長好 我們先看一段影片沒有聲音沒有聲音
transcript.whisperx[361].start 9385.683
transcript.whisperx[361].end 9406.878
transcript.whisperx[361].text 好 没有关系 这没有声音这是我前天去四子乡也就是丰港西流域邻近的族人在做抗议抗议最主要的诉求是希望能够远离鸡屎味希望不要再合床种植西瓜后来我们去了那个地方以后发现有四个违法的明显违法的事实第一个是食用生鸡粪
transcript.whisperx[362].start 9407.558
transcript.whisperx[362].end 9432.783
transcript.whisperx[362].text 第二个是撕屁道路第三个是破坏河体第四个是在河床上兴建铁皮屋所以我想请问我们副座地方政府是否长期纵容业者违反县府的规范在未登陆地或者是野稀全责不清的区域违法种植导致环境污染数十年然后这是系统性的执法失灵还是行政怠惰
transcript.whisperx[363].start 9433.451
transcript.whisperx[363].end 9452.795
transcript.whisperx[363].text 报告委员这个案件我们有掌握那这个是县政府管理的河川那在委员这个积极的关切之下呢我们其实已经有跟县政府这边积极来督促他们赶快来做处理所以他目前要进行裁判是大概是新台币
transcript.whisperx[364].start 9453.987
transcript.whisperx[364].end 9481.668
transcript.whisperx[364].text 两万五到五十万元之间不过这是将进行裁判可是我们主任的诉求是说希望能够就它违法的部分如果是确实违法的话它应该是按照我们78条之一种西瓜使用生鸡粪饮水都需许可违规可撤销然后91条之二就是说以违反许可内容使用的时候可以废止取租约朝这个方向来是我们会来努力OK
transcript.whisperx[365].start 9482.208
transcript.whisperx[365].end 9505.815
transcript.whisperx[365].text 那现在根据空污法的裁罚他大概也只有罚到五千到十万左右所以对业者来讲可能是一个不是很痛痒的一个裁罚那现在主任有一个明确的诉求就是说他不要任何的补偿金只要将违反乱纪或者是未申请种植西瓜的业主呢予以撤销他的种植证照我先给你看一下大概第四张
transcript.whisperx[366].start 9506.809
transcript.whisperx[366].end 9509.254
transcript.whisperx[366].text 它違法的區域有這麼寬我們到了這個地區的時候
transcript.whisperx[367].start 9512.557
transcript.whisperx[367].end 9539.707
transcript.whisperx[367].text 发现它也不是七分署管也不是水利署管也不是原民会管这个等于是真空地带那后来问国产署说国产署总是你们的财产法因为按照我们现在国有财产法第二条规定反而不属于私有或地方所有的财产均是为国有财产可是这个地区是没有经过许可也没有经过登记也没有去申请合法的租约可是这个区块是我们
transcript.whisperx[368].start 9540.467
transcript.whisperx[368].end 9567.443
transcript.whisperx[368].text 眼睛看到大概十個足球場那麼大那你說這樣那個區域是就在部落旁邊這個他們常常為了規避這些捲舉他們大概都是半夜或者是大概將近昨天看到的那個捲舉的民眾捲舉是9點22分在他們村莊那個Line上面說就開始飄那個濃濃的雞屎味也就是說他們利用這個投機取巧的方式來放這個生雞糞所以
transcript.whisperx[369].start 9568.598
transcript.whisperx[369].end 9595.192
transcript.whisperx[369].text 他們希望能夠明確的可以終止他們這個租約或者是終止執照好不好是 報告委員我們會來經濟協調縣政府趕快來做處置對 而且這個屬於我們傳統領域是瑟布利西一個傳統領域在1893年曾經發生過元漢的一個衝突造成四個人死亡已經過了100多年133年到目前為止那個區塊我們認定它是我們排灣族的傳統領域所以就使用這個土地來講應該縣政府在
transcript.whisperx[370].start 9599.416
transcript.whisperx[370].end 9618.282
transcript.whisperx[370].text 這個要種植西瓜之前應該請業者跟我們鄰近的部落做一個諮商同意權也就是落實原基法第21條的規定可以嗎是 我們會來努力好 那我就希望經濟部在能不能在兩週內提出我們是不是可以撤銷許可中止租業或非止租業的一個
transcript.whisperx[371].start 9620.663
transcript.whisperx[371].end 9639.949
transcript.whisperx[371].text 你們的承諾 包委員因為這個權責還是在縣政府啦那我們會依照委員的意見趕快跟縣政府協調但是撤不撤銷可能還是要以縣政府這邊的意見為主我們會來努力 為登記土地的權責劃分希望能夠一個月內給本席報告 是 我們會來努力好 謝謝您好 謝謝接下來我們請蔡議員委員請做詢問
transcript.whisperx[372].start 9659.329
transcript.whisperx[372].end 9664.051
transcript.whisperx[372].text 好謝謝主席那我們是不是有請部長我們再請公共部長蔡委員好部長好
transcript.whisperx[373].start 9673.049
transcript.whisperx[373].end 9701.41
transcript.whisperx[373].text 部長首先還是要問一下今天大家在關心的就是說整個關稅談判的進度現在到底會如何呢因為大家也都有看到說賴總統事實上在對外也說這個關稅朝向正面的方向在發展那大家還是期待說最後談判的進度那到底現在你們的評估狀況是怎樣的就像總統講的就是說
transcript.whisperx[374].start 9704.221
transcript.whisperx[374].end 9717.551
transcript.whisperx[374].text 沒有涉及到匯率嘛這個總統講另外就是說關稅從暫定的這個20%往下降不疊加那這個部分是比較正面的方向在進行當中20%
transcript.whisperx[375].start 9721.119
transcript.whisperx[375].end 9738.182
transcript.whisperx[375].text 餓死往下往下又不疊加對對對對那就很成功啊是那大家會期待啊所以說這是一個正面的方向是啊是啊這個聽起來那這一次的談判大概大家會給整個行政談判團隊會給會給予掌聲如果可以吵到這樣所以我們現在會期待喔
transcript.whisperx[376].start 9739.663
transcript.whisperx[376].end 9755.312
transcript.whisperx[376].text 總結會議還沒有開當然當然但是但是部長既然我們這樣講大家會期待喔所以真的要努力喔是是是真的因為都講出口了嘛我們都講了但是大家就會覺得嗯那會是一個好的狀況那我想要再進一步問說那針對232條款呢
transcript.whisperx[377].start 9758.098
transcript.whisperx[377].end 9779.735
transcript.whisperx[377].text 这两款主要跟我们牵扯比较大的就是主要是半导体的部分所以我们也会谈到一个比较好的条件那美国他也有一个想法如果你有去之前也有讲嘛如果你有去那边投资的话基本上是可以豁免那当然我们希望这个可以豁免的范围越大是越好的
transcript.whisperx[378].start 9779.995
transcript.whisperx[378].end 9806.609
transcript.whisperx[378].text 我們半導體在美國投資目前是有的嘛我們包括台積電台積電已經有宣布了而且很多是讓台灣台灣本來就有在投資美國在半導體這一塊有這個也不是現在才叫半導體業去是以前就有投資了嘛對不對可是美國現在是要我們加碼投資4月2號之前台積電本來就有在美國有做投資了是啊本來就有了現在第一個廠也開始正式營運了是
transcript.whisperx[379].start 9808.05
transcript.whisperx[379].end 9832.868
transcript.whisperx[379].text 所以如果有投資的話就可以朝向說會拿到更好的一個因為基本上從廠商的角度台積電一直講只要有訂單上的需求他就願意去投資而且就是說如果就是說他也要賺錢如果說有訂單沒賺錢也不可能去所以就是說要確保他有訂單而且可以賺到錢
transcript.whisperx[380].start 9833.629
transcript.whisperx[380].end 9841.342
transcript.whisperx[380].text 好 但是部長我想台灣除了ICT產業之外事實上還是有其他的產業啦是尤其是傳統產業是那傳統產業事實上會被232條款衝擊很大喔
transcript.whisperx[381].start 9846.477
transcript.whisperx[381].end 9872.975
transcript.whisperx[381].text 如果你这个钢铝钢铝目前还是50%钢铝产业也是台湾很重要的传统产业的一环因为它涉及到后端可能就是工具机所以现在大家都预估如果现在台湾整个外销在这一些ICT产业大概是会蓬勃发展而且外销订单会扩张但是相对的传统上在钢铝产业
transcript.whisperx[382].start 9873.835
transcript.whisperx[382].end 9894.001
transcript.whisperx[382].text 大概會進入寒冬所以就是說整個科技產業蓬勃翻產但是傳統產業還是會被這一次的關稅然後232條款的影響那這個產業會受到衝擊那部長你身為經濟部長就針對不同的產業你要有不同的照顧那你針對其他的產業呢
transcript.whisperx[383].start 9895.314
transcript.whisperx[383].end 9919.955
transcript.whisperx[383].text 報告委員所以我們為什麼這個特別預算裡面會編了這個460億那這460億基本上主要要支持的對象主要大概就是傳統性的產業跟這個中小微企業因為高科技產業基本上是相對而言是比較沒有受到這次關稅或是國際形勢的一些影響所以他們也比較不會用到這個460億對
transcript.whisperx[384].start 9921.897
transcript.whisperx[384].end 9949.572
transcript.whisperx[384].text 那所以我們為什麼因為這個關稅的影響最重要還是那具體上461你要怎麼去協助這一些受到受到關稅影響的產業第一個他的訂單如果沒有訂單就慘了所以我們為什麼要保住他的訂單那保住他的訂單多元開拓市場他們去除了美國市場之外他還有去其他的地方要去參展我們給他補助甚至一設台灣館因為中小企業可能
transcript.whisperx[385].start 9950.132
transcript.whisperx[385].end 9979.332
transcript.whisperx[385].text 没有办法做到这一点那我们也会把顾客引导到台湾来那这个是订单希望他不要中断另外一个是他的金流也不要中断所以雨天不收伞甚至还要撑更大的伞就是两个嘛一方面就是希望他们协助他们在国外找订单那协助他们在国外找订单这件事我跟部长稍微呼吁一下因为很多产业是跟我讲过去台湾在面对产业的时候往往
transcript.whisperx[386].start 9980.695
transcript.whisperx[386].end 9984.35
transcript.whisperx[386].text 你看到他們越要去參加越大型的國際展
transcript.whisperx[387].start 9985.868
transcript.whisperx[387].end 10009.685
transcript.whisperx[387].text 結果我們經濟部就會認為說你就有人家去參加大型的三展了所以反而對他們協助的力道反而變小事實上應該要反向要去做既然有人家要參加大型的你就要讓他去拚大大隻回來所以我們應該要站在說要怎麼讓他們可以去跟國際的企業競爭
transcript.whisperx[388].start 10011.246
transcript.whisperx[388].end 10028.312
transcript.whisperx[388].text 而不是在國內斤斤計較說你這一家企業就已經本身有夠強了你不需要政府再去協助你做訂單這個觀念不能這樣所以我們是全面性的因為很感謝立法院給我們這樣的額度所以可以我們比較充裕
transcript.whisperx[389].start 10029.132
transcript.whisperx[389].end 10037.58
transcript.whisperx[389].text 對於這個全面性的 461金額不少啊但是產業有這麼多種 他們大家如果要去拚國際競爭經濟部就是要給他們可以到位的協助 讓他們多多去拚拚他們的產品 讓國外的人可以接受這個是經濟部要去打拚的所以我們現在做法就是這樣子 沒有錯
transcript.whisperx[390].start 10055.782
transcript.whisperx[390].end 10069.611
transcript.whisperx[390].text 那期待啦因為460億都已經編了可以執行了嘛那現在開始有不少產業已經在問我了那接下來要怎麼做因為確實他們現在看到的就是我剛講的光是鋼鋁50%
transcript.whisperx[391].start 10072.412
transcript.whisperx[391].end 10092.339
transcript.whisperx[391].text 50%的關稅這個真的對國內這些鋼鋁的這些產業鏈他們的衝擊真的是很大所以我覺得部長你要靠近下鄉去跟這些傳統產業跟這些工具機器產業你自己去開工除了我自己之外的話我們事實上在北中南東已經成立了這個輔導團
transcript.whisperx[392].start 10094.73
transcript.whisperx[392].end 10115.133
transcript.whisperx[392].text 工協會還有我們二十幾個法人全部把它集結起來然後分這個區域主動式的去拜會這些廠商看看他們需要真正的協助是什麼那我們就來 部長你要相信過去台灣有很多像這種工具局甚至像那種做馬達的我們家依舊有一家做馬達
transcript.whisperx[393].start 10115.854
transcript.whisperx[393].end 10144.095
transcript.whisperx[393].text 他都是台灣的隱形冠軍欸是是是做那種一些反正在一些工具機一些做包膜的啦怎樣台灣都很強而且我們這個強是在於我們的產品是有創新的我們有辦法做出世界看起來我們的品質是好的但是我們遇到的關稅的衝擊的時候經濟部今天下場下去讓大家關心前兩天我還去馬手後第一期啊那個做地毯的那個
transcript.whisperx[394].start 10145.115
transcript.whisperx[394].end 10168.86
transcript.whisperx[394].text 做得非常好 他還要加裝他知道我們有太舊換新的這個機械補助以後他就要趕快來申請因為他的確要買一個比較先進的機械所以部長這樣就對了下鄉然後去聽產業的心聲然後461的預算就直接讓他們可以感受到困難的時候進戶及時的救援然後馬上協助他們 好不好是是是好 謝謝好 非常的感謝
transcript.whisperx[395].start 10174.52
transcript.whisperx[395].end 10190.357
transcript.whisperx[395].text 接下來我們請葉元之委員請做選擇主席好 麻煩請經濟部長我們再請工部長
transcript.whisperx[396].start 10197.956
transcript.whisperx[396].end 10223.108
transcript.whisperx[396].text 月文好部長好那個回答應該是在10月24號的時候應該是之前有發文給經濟部希望經濟部在10月24號之前24吧提供一些那個地那現在是提供哪一些因為他有給我們一些條件那我們就按照這個條件哪些嘛提供哪些這個就不好不方便講是連這個都不能講
transcript.whisperx[397].start 10225.23
transcript.whisperx[397].end 10248.007
transcript.whisperx[397].text 這個國人都討論成這樣了 我們這個政府是秘密怎麼那麼多沒有 因為要好 那你現在了解 回答但是我們的態度是這樣啦我們會提供比較多啦反正因為抉擇是在他們我們現在在質詢台上面問說到底有沒有提供 提供多少你沒有辦法回答然後說我們會提供比較多這個你覺得你這種回答有意義嗎
transcript.whisperx[398].start 10249.028
transcript.whisperx[398].end 10275.589
transcript.whisperx[398].text 我們現在了解說經濟部有沒有認真去找地嘛然後你回答說我們比較多你現在一塊都講不出來台北市政府除了T10T、T18之外還提供T12然後還去看了那個南煙就是人家就是可以講一大堆啊你們這邊說我們提供比較多部長你來這邊這樣回答問題適合嗎好算了啦就大家可以看到你們經濟部的態度啦也有可能是沒有在找啦所以回答不出來啦有很積極啦那是什麼嗎提供哪一塊嘛
transcript.whisperx[399].start 10276.857
transcript.whisperx[399].end 10283.78
transcript.whisperx[399].text 我們大概有超過了 可能會提供超過10個基地提供10個基地 那幾塊是回答比較有興趣的
transcript.whisperx[400].start 10284.799
transcript.whisperx[400].end 10308.662
transcript.whisperx[400].text 我們還沒提供啊還沒提供 所以你要準備什麼時候提供23號23號 人家說24號以前 你23號不錯啦很積極啦 少一天顯然基進部對於要把揮打留在台灣也不是那麼積極啦如果我是你的話 我有一塊兩塊我趕快跟他講了啦跟他講說你不要走 我前面已經好幾塊跟你不錯囉我不會盤點了十幾塊在前一天給他啦
transcript.whisperx[401].start 10309.659
transcript.whisperx[401].end 10336.6
transcript.whisperx[401].text 部長你的態度就讓大家看到政府到底對於有沒有把回答留下來的態度啦台北市政府真的比你積極很多啦我們是有跟他溝通啦好啦好啦沒關係我也不為難你可能你也不是很了解那我想請問一下能源的議題因為現在光電板問題很多包括之前水庫水庫的浮電光電板本來政府積極在推結果後來被發現說是不是會被對環境有影響結果進一步的態度好像就沒那麼積極了
transcript.whisperx[402].start 10337.601
transcript.whisperx[402].end 10345.731
transcript.whisperx[402].text 改口講說地方政府沒核准就不會推感覺上我現在感覺啦現在不知道經濟部現在是不是沒有要推光點了
transcript.whisperx[403].start 10346.598
transcript.whisperx[403].end 10370.499
transcript.whisperx[403].text 就是對光電來說是比較消極的這是光電部分還有風電因為我們了解風電現在陸基的風電很多都年限期限都到了嘛20年30年都陸續在到那地方都反而很激烈所以陸基的風電可能也會遭受阻力那我是不知道說經濟部你現在綠電這塊假設光電沒有積極在推風電也沒有要推的話你要用什麼能源來補綠電這塊
transcript.whisperx[404].start 10371.997
transcript.whisperx[404].end 10377.946
transcript.whisperx[404].text 我們都積極在推啊有嗎 光電還有積極在推嗎當然那譬如說譬如說要積極推量在哪裡
transcript.whisperx[405].start 10378.82
transcript.whisperx[405].end 10403.383
transcript.whisperx[405].text 屋頂型的我們就積極在推你要積極推在哪裡比如說現在水庫感覺你們也不會推了嘛然後因為光電以前很多弊案山頭可以整個山頭全部砍掉放那麼多光電板以後想必應該也比較不敢了還有很多問題現在可能會一些弊案變比較少那你要怎麼推光電
transcript.whisperx[406].start 10404.659
transcript.whisperx[406].end 10420.636
transcript.whisperx[406].text 怎麼推就是還是持續的推啊怎麼推啊還有地嗎您剛才提到這個幣案有問題的部分就去處理嘛那現在我們有一個我是問說要怎麼推啦你現在積極推是口號啊我是問具體的做法啊我剛剛提到了就是說屋頂型的時候我們1000瓦會補出3000塊
transcript.whisperx[407].start 10423.799
transcript.whisperx[407].end 10450.458
transcript.whisperx[407].text 所以你現在主力是放在屋頂型這個是一部分還有勒但是我們地面型或者是漁電共生我們也不會放棄啊我們會持續啊所以接下來就是會把重點放在屋頂跟漁電共生那你預計把這重點放在這兩塊光電可以成長多少可以成長多少還有太秀換新的部分就是有一些暗場它以前轉換效率比較差的我們可以換成新的所以可以成長多少大概評估
transcript.whisperx[408].start 10452.591
transcript.whisperx[408].end 10480.004
transcript.whisperx[408].text 明年十一月我們還是希望可以達到多少二十幾個月這個還是我們的目標明年十一月目標不變對這是我們努力的方向那你們對那個水庫的浮動光電板的態度有變嗎就是說因為大家有一些誤解我們希望把這個誤解釐清以後是誤解嗎對對啊因為很多人認為說它會有汙染但實際上是不會啊那你為什麼你們要退縮咧你就講清楚就好啦對我們就是要講清楚那為什麼第一時間退縮
transcript.whisperx[409].start 10481.633
transcript.whisperx[409].end 10500.126
transcript.whisperx[409].text 沒有啊 我們沒有退縮啊有啊 你們第一時間就在賴啊就在講說哎呀 那個是地方政府的事啊民進黨的還講說韓國瑜是同意的你講的態度就讓人家覺得那個東西有問題嘛不是不是 既有的程序本來就有地方政府的權責所以您的意思是說把它講清楚之後 您還會繼續推對 OK 好 謝謝好 謝謝
transcript.whisperx[410].start 10509.912
transcript.whisperx[410].end 10512.155
transcript.whisperx[410].text 接下來我們請廖宣祥委員請做巡檔好 謝謝主席 也要麻煩我們龔部長我們再請龔部長能源署長也可以陪一下可能會比較熟悉
transcript.whisperx[411].start 10529.221
transcript.whisperx[411].end 10542.48
transcript.whisperx[411].text 部長我今天跟您討論一下就是上次7月的時候這個屏東交通外海太陽光電浮台試驗場域案的後續啦那我不是要跟你討論執行的東西好或不好而是後續的處理問題跟誠實的問題啦
transcript.whisperx[412].start 10544.783
transcript.whisperx[412].end 10573.429
transcript.whisperx[412].text 經濟部那時候在7月多的時候有發新聞稿表示業者已經在颱風來之前已經拆除了光電板請問一下我們經濟部發這個新聞稿這件事情的時候是業者口頭跟我們說還是業者有提供一些客觀的一個資訊給我們經濟部是 這個有照片那事實上我們發這個新聞是說他的光電板已經都拆走了但他留在海上的是福台那是福台不是光電板
transcript.whisperx[413].start 10574.617
transcript.whisperx[413].end 10585.435
transcript.whisperx[413].text 因為到現在目前為止我想包括當初有許多的委員都跟我們的經濟部要當初拆卸的照片或者是說現在光電板到底在哪裡那現在我們能源署有辦法提供嗎
transcript.whisperx[414].start 10586.696
transcript.whisperx[414].end 10607.399
transcript.whisperx[414].text 我們可以請業者那些光電板業者收回去了他儲藏在他自己儲存的地方有提供給我們能源署嗎我們沒有因為對我們來講我們沒有需要他提供這個資料但是我們有現場的照片就是說他是福台他上面是沒有太陽光電板的那你們可以提供這照片吧
transcript.whisperx[415].start 10609.016
transcript.whisperx[415].end 10635.574
transcript.whisperx[415].text 這個要我們來跟業者來索取因為當初社會討論很廣泛那一直懷疑說有沒有猜你們一直說有猜但是又沒有辦法提供照片所以後續我們經濟部應該可以提供我們來跟業者確認日期這是業者的資料那跟委員報告就是說當時是福台那後來受到風災吹到海上來吹到岸上來的我們蒐集到的也全部都是福台並沒有任何的
transcript.whisperx[416].start 10635.954
transcript.whisperx[416].end 10660.788
transcript.whisperx[416].text 太陽光電比較重會沉那我想確認一下業者你們能不能去確認一下因為每一個光電板應該都有它的序號對不對光電板都有序號每一個序號所以它當初那個暗場的光電板也都有登錄嘛對不對序號是光電板出廠的時候都會有嘛那它建置在現場是哪些序號在現場其實這裡都追蹤的到嘛對不對
transcript.whisperx[417].start 10662.736
transcript.whisperx[417].end 10676.396
transcript.whisperx[417].text 因為他現在收回去了所以他現場並沒有對 原本放在海上的嘛原本放在海上的就是他購買的他購買的太陽能板應該能夠追查到他說原本要放在海上的這些光電板的序號我們應該都要有才對
transcript.whisperx[418].start 10678.005
transcript.whisperx[418].end 10693.698
transcript.whisperx[418].text 我們有辦法去做後續的集合確認一下他所說光電板放在哪一邊那些光電板的序號跟當初申請加東外海的這些光電板的序號去對一個集合確認這些光電板真的都有收起來在他現在所說的倉庫裡面這點做得到嗎
transcript.whisperx[419].start 10696.416
transcript.whisperx[419].end 10718.707
transcript.whisperx[419].text 這個因為它是一個實驗計畫我們所以當時並沒有去登記它的序號是多少那這個我們可以跟業者來要求看看環境部一定有 台電也一定有應該是沒有啦因為它是試驗計畫它整個環境部就規範每一個太陽能板都必須要有序號你才能夠並聯接電啊
transcript.whisperx[420].start 10720.816
transcript.whisperx[420].end 10743.351
transcript.whisperx[420].text 每一個出廠都有序號然後你要繳回匯金啊他這個所以 對不對所以你在哪裡這本來就是一套環境部那時候都一直在說明每一塊供電板一定都追蹤得到它在哪裡然後後續怎麼處置你現在跟我說序號找不到他這一個不是商業經營它是一個實驗計畫它本來實驗完成實驗計畫就不用序號嗎
transcript.whisperx[421].start 10745.352
transcript.whisperx[421].end 10764.979
transcript.whisperx[421].text 實驗計畫就所有的太陽盲板那你怎麼追蹤這些實驗場的序號這些光電板後續要怎麼處理包括後續的回收這都是要靠序號來追蹤啊只要他業者不丟棄的話那你怎麼知道他有沒有丟棄你沒有序號你怎麼知道他有沒有丟棄所以我們有序號的意義就是說如果他有丟棄到外面
transcript.whisperx[422].start 10765.979
transcript.whisperx[422].end 10780.261
transcript.whisperx[422].text 最重要的意義就是追蹤嘛對不對那既然我們現在國家有這個序號的一個制度那我們應該就可以靠我們的序號去追蹤當初應該在海上的光電板現在到底在哪邊他說在哪邊我們應該也可以去做一個集合這應該是非常簡單的一件事情
transcript.whisperx[423].start 10781.783
transcript.whisperx[423].end 10796.659
transcript.whisperx[423].text 這個序號是我們如果查到它有丟棄置在任何一個地方我們可以從這一個序號去追蹤它的來源我剛剛講的你們能不能做到就是依照序號去查當初在海上的光電板現在到底在哪邊是不是業者有誠實的來做我們回報
transcript.whisperx[424].start 10797.62
transcript.whisperx[424].end 10814.544
transcript.whisperx[424].text 可不可以去做後續的稽查因為他是試驗計畫我沒有登記他的需要但是我們可以來諮詢這些業者因為試驗計畫他本來試驗完成業者就要把所有的浮台跟光電板回收回他的工廠他如果有遺落在外的
transcript.whisperx[425].start 10814.904
transcript.whisperx[425].end 10828.888
transcript.whisperx[425].text 我們就可以從那個需要去追蹤到哪裡依照這條線索去找出來 依照這條線索去找出來那包括我想確認一下這個福台計畫我們補助的金額是只有福台嗎還是整個計畫有沒有去把它做這個拆分
transcript.whisperx[426].start 10830.829
transcript.whisperx[426].end 10858.685
transcript.whisperx[426].text 整個計畫是當然有浮台跟太陽能板而且他要在海上做對所以我有一個疑問假設現在的這些當初補助的經費裡面包含浮台包括光電板現在計畫終止了那這些光電板如果業者一去他他處使用的話這有沒有違法的一個問題所以我才要我們的能源署盡快的去追蹤這些能源這些光電板他現在到底在哪邊是跟委員報告他的計畫一個是環境污染的問題還沒有終止
transcript.whisperx[427].start 10859.025
transcript.whisperx[427].end 10886.528
transcript.whisperx[427].text 一個是我們補助的問題補助的東西他就只能在這邊用不能夠拿到其他場域用這是絕對的規範這絕對沒有錯吧我們沒有補助他去購置這些東西你就是整個計畫包含嘛好不好沒關係時間到了也不要再用大家太多的時間就依照序號去做這兩件事情去追蹤他的目前的最終的流向在哪確認他到底有沒有一致他的暗場使用好不好以上兩點再麻煩
transcript.whisperx[428].start 10888.393
transcript.whisperx[428].end 10908.259
transcript.whisperx[428].text 好 謝謝接下來我們請柯資恩委員請做詢問謝謝主席 我們是不是請部長跟能源署長我們請兩位
transcript.whisperx[429].start 10916.301
transcript.whisperx[429].end 10932.081
transcript.whisperx[429].text 各位好部长跟署长好我想回到我们大树河山里的光电厂这当初这个空拍图震惊全国目前来说的话因为我们第二案场已经是完全是撤掉它的施工许可第一呢
transcript.whisperx[430].start 10933.786
transcript.whisperx[430].end 10953.981
transcript.whisperx[430].text 包委員 第一案場因為它是合法設置但它中間有違規那所以我們違規的部分我們要叫它拆除違規的部分而且它已經完工了所以你們會不會給它發給它電業執照會不會發會 它第一期是合法設置的第二期我們不會發我知道 第一期你們什麼時候發我們
transcript.whisperx[431].start 10958.735
transcript.whisperx[431].end 10985.365
transcript.whisperx[431].text 他有部分違規你們拆除啊對你第一期什麼時候發他現在還沒有申請所以說你們他申請的話你們會再看然後你們如果說他完全合格你們會發對我還是要提醒喔因為他是完全根據舊法對不對根據舊法你根據新法位於三坡地面積達到規模像是15公頃以上或者是裝置流量加2萬的千瓦以上需要我們河山是舊案但是你看看他案場大概是51公頃喔
transcript.whisperx[432].start 10986.665
transcript.whisperx[432].end 11015.604
transcript.whisperx[432].text 裝置流量是7萬的這個千瓦你如果沒有經過你認為如果你要給它核發的話你是不是要再一次環評因為每一個磁磚地球都不一樣當年是因為我們2019年為了要設置這麼大的一個所謂的綠電你說實在的你沒有經過環評有那時空背景我們都不同意那現在已經發生這麼多的事情距離我們的這個村莊只有100公尺大家都非常關切所以嗨嗨你要發這個執照之前你還要不要再經過一次環評
transcript.whisperx[433].start 11017.626
transcript.whisperx[433].end 11038.417
transcript.whisperx[433].text 要不要包委員他如果重新提出申請我們會就法令重新來檢視剛才委員指教的新舊法我們也會在法律上重新看所以你現在不敢承諾到底會不會再經過環評我們要做法律上的分析因為民眾申請他有他一定了解所以要不要再經過環評你們目前是未確定
transcript.whisperx[434].start 11038.937
transcript.whisperx[434].end 11047.84
transcript.whisperx[434].text 我們會再來就法律上證個因為他這個如果要發執照也不只環評一件事我們會把整個所以說他不會像是完所以目前聽起來不會像是像過去就法你只要是一切就你們那時候的法規可以你就發給執照這次還會做全面的一個來做討論是這樣沒有錯吧
transcript.whisperx[435].start 11059.343
transcript.whisperx[435].end 11071.983
transcript.whisperx[435].text 但是每個案其實我們都會這樣做因為目前為止每個人都非常關切這個電板的問題你們在2030年的時候能源署有告訴我們說你們可能光電的設置要到31.2GW沒有錯嗎目前為止這個目標還是嗎
transcript.whisperx[436].start 11073.862
transcript.whisperx[436].end 11096.577
transcript.whisperx[436].text 是的 這個是我們努力的目標那我們希望能夠抓到31.2Gbps2035部長你知道嗎2035可能要到31.2Gbps那就大概就是我們所謂的1692個大安森林公園這麼多我們先來看看有沒有辦法土地怎麼找這都是非常重要的一個問題我們先來看一下到2025距離目前只有多久時間到2030年你要31.2Gbps現在是2025
transcript.whisperx[437].start 11100.64
transcript.whisperx[437].end 11122.335
transcript.whisperx[437].text 到8月的時候呢你的容量目前為止僅15.02距離我們2030的目標還有16GW所以有這樣子一個落差這是一個你們很大的落差我們先不要看別的光是今年1到8月我們僅增加0.74跟去年比起來去年大概是兩個GW那怎麼辦你們的目標你們的產能一個個在往後你們目標設這麼多到目前5年之後
transcript.whisperx[438].start 11130.781
transcript.whisperx[438].end 11139.778
transcript.whisperx[438].text 一般業者認為你到20就差不多了你把他定在30有可能嗎署長你要不要做滾動式的修正你要不要做修正
transcript.whisperx[439].start 11140.717
transcript.whisperx[439].end 11167.749
transcript.whisperx[439].text 是這是我們的目標那我們會努力來達成我覺得像目前講署長跟部長五年後可能你們都不在其位可是呢你們如果用我們這些數據來告訴我們的話都是告訴我們說你們是目標目標永遠都在期望未來的一個目標我覺得這對我個人來說部長你同意吧這對我們未來說這個其實不是太公平的你應該是滾動式的不斷告訴我們現在已經告訴你今年跟去年比就是比較少那未來該怎麼辦是不是
transcript.whisperx[440].start 11169.75
transcript.whisperx[440].end 11188.816
transcript.whisperx[440].text 包委員我們還是會把這個目標當作目標來努力但是包委員就是說事實上還有另外一個方式就是太秀換新的部分因為過去的轉換效率大概只有十出頭十幾而已現在可能都可以做到三十所以它這個會是原來的超過一倍以上
transcript.whisperx[441].start 11189.176
transcript.whisperx[441].end 11200.703
transcript.whisperx[441].text 還有就是你剛剛說到的屋頂屋頂你的誘因我覺得你可以再增強因為屋頂目前看起來比陸域跟水域來說應該是比較是OK大家接受的比較高嘛你可以從這個角度來嘛對不對還有最後一個部分啦因為光電板目前嘛你那時候在公開承諾說萬一說你這個水庫光電板如果有任何疑義的話你會暫緩
transcript.whisperx[442].start 11212.429
transcript.whisperx[442].end 11236.207
transcript.whisperx[442].text 那個時候你是在對於台南地區這個樣的承諾是對於全國嗎全國萬一說地方政府有異議的話目前來說都是暫緩嗎還是只針對台南這個SOP本來是適用於全台南全國嘛 不是只有在台南嘛對不對 而且我覺得你要定立標準你不要把很多的問題全部留給地方政府那個整個標準來說中央就應該負起這個角色嘛好不好
transcript.whisperx[443].start 11236.927
transcript.whisperx[443].end 11261.173
transcript.whisperx[443].text 所以說呢光電板的我的問題就是你的滾動性的修正還有你要給明確的目標然後呢你告訴我說2035要給我1692個大安森林公園土地哪裡來這是要跨部會來否則的話光是一個目標然後告訴我目標我們人都不在了你還在一個目標你讓下面一任怎麼辦永續環境的經營是每一個人現場都需要有角色跟責任的好不好好 謝謝好 謝謝
transcript.whisperx[444].start 11267.918
transcript.whisperx[444].end 11288.164
transcript.whisperx[444].text 接下来我们请高金树梅委员请做询答谢谢赵伟大家辛苦了部长想上洗手间了是吧想休息一下是吧
transcript.whisperx[445].start 11289.994
transcript.whisperx[445].end 11296.518
transcript.whisperx[445].text 等你 等你质询好 那就是有请部长我们再请工部长谢谢
transcript.whisperx[446].start 11320.254
transcript.whisperx[446].end 11346.361
transcript.whisperx[446].text 部长 卓院长他说10月底台美经贸谈判会达成协议今天已经是10月22号10月就已经要到底了这个协议的内容到底是什么呢是不是如我抛泡应上面看的赖金德总统所说的要降税率不叠加而且232条款的相关税金也能够得到最惠国的待遇是这样吗
transcript.whisperx[447].start 11346.781
transcript.whisperx[447].end 11360.161
transcript.whisperx[447].text 你們能不能更具體的簡短的說明一下是或不是這個是都是目標你不要再講目標了是或不是還是到目前為止它還是一個秘密
transcript.whisperx[448].start 11361.448
transcript.whisperx[448].end 11376.987
transcript.whisperx[448].text 這是我們努力的目標跟方向總統都已經說了啊不疊加降稅率啊它不是目標它只是已經說了你後面當然是目標但是我想請問10月底已經到了會不會是
transcript.whisperx[449].start 11378.194
transcript.whisperx[449].end 11404.454
transcript.whisperx[449].text 你认为会不会是你要不要是不是 时间上我没有办法你要不要是我们努力的方向是这三项没有错对 降税不叠加你这样子的回应大家都清楚知道了那我们也不抱很大的期待那部长你也曾经说过要复制所谓的类科学园区要到美国是这样子吗类科学园区应该是我是
transcript.whisperx[450].start 11405.359
transcript.whisperx[450].end 11422.014
transcript.whisperx[450].text 跟著人家講不是我講那所以這新聞不對樂於友邦分享經驗到美國設類科學園區分享經驗就是我們的產業群聚那這句話不是你講的主要我的意思是講它像是類科學園區這樣你不是這樣認為產業群聚
transcript.whisperx[451].start 11424.909
transcript.whisperx[451].end 11451.201
transcript.whisperx[451].text 你不是這樣認為所以你不認為它是類科學園區所以這個是媒體誇大了是吧如果要把它解釋成類科學園區我也沒有反對好那10月17號我們看一下副總統蕭美琴她在國際媒體專訪的時候她說我們已經承諾在美國進行投資不僅僅是台積電還包括廣大的生態系其他部分從供應商到設計商
transcript.whisperx[452].start 11452.581
transcript.whisperx[452].end 11469.122
transcript.whisperx[452].text 乃至其他晶片制造公司而肖副总统所说的那个广大的半导体制造生态系和您刚刚所谓所说的要复制所谓的类科学源去到美国这是同一件事情吗
transcript.whisperx[453].start 11470.388
transcript.whisperx[453].end 11498.021
transcript.whisperx[453].text 報告委員事實上生態系比這個科學園區裡面做的事情還要大是不是同一件事情不是 範圍不一樣為什麼範圍不一樣因為科學園區基本上只有生產製造而已但是生態體系包括了剛剛提到的研發開始然後還有它的材料商 設備商甚至於到它下游的廠商跟客戶這個就是整個才是一個生態體系部長 不要在這邊再胡說八道好啦 不管你說的複製
transcript.whisperx[454].start 11499.461
transcript.whisperx[454].end 11525.269
transcript.whisperx[454].text 不管你說的複製類科學園區或者是副總統所說的投資廣大的半導體製造生態系你們你要負責任的說因為你是經濟部長了你們有沒有估算投資的金額那我要講的是是不是傳說中美國勒索我們的那一筆數千億美元的金額報告委員因為廠商的投資還是要廠商才能夠決定
transcript.whisperx[455].start 11526.109
transcript.whisperx[455].end 11545.934
transcript.whisperx[455].text 那你經濟部沒有想要去預估嗎你那麼刻意不負責任的說不預估嗎所以部長我要跟您說的是不管你說的類科學園區或副總統他說的廣大的半導體製造生態系主要的產業主力的產業就是半導體產業跟資通產業
transcript.whisperx[456].start 11549.275
transcript.whisperx[456].end 11565.251
transcript.whisperx[456].text 我相信你很清楚在場的委員們都很清楚可能有絕大部分的我們廣大的百姓不知道但是我們清楚的了解兩個產業佔台灣出口的七成而這七成以今年來說就是3500億
transcript.whisperx[457].start 11567.873
transcript.whisperx[457].end 11593.72
transcript.whisperx[457].text 而七成的出口產業複製到美國生產以後這七成的出口產業在台灣就從此被消滅了當然不會啊當然不會啊你不要說不會你到時候離開了台灣誰負責任你不要說你不要說不會大家都清楚知道好 而且你不要在這邊跟我們別講好不好因為他已經宣布11個廠了這是實際的事實啊
transcript.whisperx[458].start 11597.639
transcript.whisperx[458].end 11610.689
transcript.whisperx[458].text 部長 我們中華民國的政府沒有做政策的決定這些人會過去嗎 不要在這邊再說了而我們台灣另外三層的傳統產業大家一直在講的傳統產業面對著美國的關稅壓力
transcript.whisperx[459].start 11614.932
transcript.whisperx[459].end 11622.215
transcript.whisperx[459].text 而我們政府又要花人民的納稅前460億要去扶持他們這460億足夠嗎你看一下捷安特自行車這麼樣優質的產業美國他就予取予求隨意的扣押他們的產品而我們的傳統產業還會有生存的空間嗎我再強調一次半導體和支通產品佔台灣出口的七成
transcript.whisperx[460].start 11644.685
transcript.whisperx[460].end 11658.068
transcript.whisperx[460].text 而這期程就是3500億一旦複製到美國之後台灣的高科技產業就空通化了你不要說不會而台灣產業在美國的關稅衝擊之下情況這麼險惡現在就算如賴清德總統他說的
transcript.whisperx[461].start 11665.13
transcript.whisperx[461].end 11678.823
transcript.whisperx[461].text 爭取到更低的關稅又有什麼用根本就於師無補了嘛現在已經時間到了我的結論就是政府在我們的關稅談判之中簡直就是喪權辱國謝謝我們高經委員的詢問
transcript.whisperx[462].start 11686.606
transcript.whisperx[462].end 11697.246
transcript.whisperx[462].text 謝謝宮部長我們現在因為中午時間我們不休息我們延長會開到今天的議程處理完畢那我們現在休息三分鐘 謝謝
transcript.whisperx[463].start 11883.766
transcript.whisperx[463].end 11909.974
transcript.whisperx[463].text 好 我們繼續開會來 請各位官員請各位官員請坐好好 接下來我們繼續開會我們現在請賴會委員請做詢答謝謝主席有請經濟部部長跟能源署署長我們請兩位 謝謝
transcript.whisperx[464].start 11917.219
transcript.whisperx[464].end 11943.277
transcript.whisperx[464].text 賴委員好是 那個兩位好這一次丹納斯颱風讓我深刻的體會到就是說極端氣候的一個那個常態性那在災後的一個復原其實已經不再是修補了我們希望就是說基礎建設可以前面的一個提升部長在這裡特別跟你探討就是說這個187億就是韌性的這個
transcript.whisperx[465].start 11944.318
transcript.whisperx[465].end 11950.004
transcript.whisperx[465].text 任性的一個經費裡頭丹納斯颱風丹納斯颱風的特別預算187億就是600億裡頭你分配到187億那你其中有8億是給能源署嘛這裡我想請教署長這個8億的錢那你用在什麼地方
transcript.whisperx[466].start 11967.74
transcript.whisperx[466].end 11984.742
transcript.whisperx[466].text 在這裡我要特別跟你提醒到一個三個重點就是關鍵性的一個產業電纜韌性的優先的一個試做這一段還有就是說智慧儲能還有加強式移動式的電源的一個建置不知道你準備到什麼樣的一個
transcript.whisperx[467].start 11986.317
transcript.whisperx[467].end 12009.395
transcript.whisperx[467].text 是 我们那个8亿是要做定制型的这样的储能设备那我们主要是跟这些目前我们的办法已经公告了那么可以来提出有兴趣的业者就可以来提出申请那另外那个我们部长也特别指示就是说我们会主动出击也就是说
transcript.whisperx[468].start 12009.815
transcript.whisperx[468].end 12025.948
transcript.whisperx[468].text 我們對幾個比較有需要這種定制型燃料電池的廠商像在各個工業區那我們會去主觀的做主動做說明那另外我們還有一筆預算除了這個8A以外我們還有一筆預算是做微電網
transcript.whisperx[469].start 12026.949
transcript.whisperx[469].end 12045.188
transcript.whisperx[469].text 那做微电网的那这个办法我们也正在遇到好 署长这显然你已经准备好了可是你针对的就是在上一周我跟台电的总经理特别有提到了灾后的一个重建我们希望强化这个电缆的一个抗灾的一个韧性那
transcript.whisperx[470].start 12046.365
transcript.whisperx[470].end 12059.554
transcript.whisperx[470].text 有沒有要優先做就像我們這幾個那個區域在當然是颱風受創的這麼嚴重就是說不管是台南不管是嘉義這這個地方你有沒有要優先施作呢
transcript.whisperx[471].start 12061.274
transcript.whisperx[471].end 12079.296
transcript.whisperx[471].text 包委員 這個台電的部分它是有九個示範場對但是我們有盤點過大概所謂的孤島裡面其中大概有53個他們是有這樣的需求而且很希望這樣做那我們會從聯署還有其他的部分
transcript.whisperx[472].start 12080.037
transcript.whisperx[472].end 12107.93
transcript.whisperx[472].text 去满足这五十几个这个丹纳斯台风这个是一个专款专案我们受创的那个地方是最严重的为什么没有从我们这个地方开始先做呢这个倒是我特别疑问的报告委员这个议题我们有跟台南市政府开过会市长都亲自主持那也来协调一些教育局等等的一些单位一起来找位置
transcript.whisperx[473].start 12108.77
transcript.whisperx[473].end 12130.948
transcript.whisperx[473].text 因為畢竟所以有優先要做嘛對不對對事實上有在處理中那就是說我還特別在這裡提到了就是說你的韌性儲能的一個設備你必須要放在就是書上你的避難所啦你的避難所你要放在學校的體育館還是社區的活動中心甚至安置的一個中心是不是你們有一個完整的一個準備呢
transcript.whisperx[474].start 12131.568
transcript.whisperx[474].end 12141.808
transcript.whisperx[474].text 是 就是因為要安放在學校的這個場域我們希望是說因為要結合學校的那個太陽能
transcript.whisperx[475].start 12144.859
transcript.whisperx[475].end 12163.716
transcript.whisperx[475].text 但是安置的地方可能又是在活动中心所以如果能找到学校跟安置的活动中心是结合在周边的话那是最好的位置所以这个位置的选取是非常重要的一件事那就是地方政府来建议你们我们中央来做在这里我特别请教部长就是说你的整体
transcript.whisperx[476].start 12164.316
transcript.whisperx[476].end 12169.242
transcript.whisperx[476].text 在做災後的韌性的一個提升是不是應該納入新科技新能源那我們比照就是說我講一個幻例給你聽就日本的那個河島河島的一個河災湖島的一個河災以後其實他們就轉型了轉型就是新能源新能源的一個建制
transcript.whisperx[477].start 12184.359
transcript.whisperx[477].end 12212.891
transcript.whisperx[477].text 這個我不知道部長對這個議題了解多少可以不可以做就是說我在這裡特別點到了你的新能源你的新科技是什麼樣為主題巴偉園如果是氫能源的話我們現在在高雄的部分有一個嘉青站已經有了但是就要巴士進來可以就是示範性的運營這個部分那至於就是說您剛才這邊看到的是燃料電池的部分是
transcript.whisperx[478].start 12214.872
transcript.whisperx[478].end 12234.945
transcript.whisperx[478].text 這個現在還叫做灰氫啦就是說利用LNG轉換成氫然後利用這個燃料電池來發電這就是剛剛講的那個定制型的這個示範性的一些實驗這也要推動好 部長顯然你對這個議題是非常的深入了解的我們希望多增加多增加這樣子的一個
transcript.whisperx[479].start 12244.751
transcript.whisperx[479].end 12270.264
transcript.whisperx[479].text 那事後我希望就是說可以得到你更多的一個資料不管是充電室就移動式充電室那是不是用光除那個氫能的一個發電系統我希望有這一方面的一個資料跟本席做參考然後是不是優先在我們台南建置怎麼樣的一個那個就是在災後的一個儲備那個儲備能量的地方好不好好謝謝好謝謝
transcript.whisperx[480].start 12277.645
transcript.whisperx[480].end 12278.247
transcript.whisperx[480].text 接下來我們請吳宗憲委員請做詢談 謝謝
transcript.whisperx[481].start 12285.126
transcript.whisperx[481].end 12310.763
transcript.whisperx[481].text 麻煩水利署署長有來嗎今天我們請水利署同時我會跟那個部長說因為部長我剛剛聽你跟高津樹梅的回答有關台積電的部分那部長我們請一起沒關係部長不用部長坐著就好這部分我要講一個啦我小老百姓啦民進黨告訴我台積電的存在是護國深山因為台積電對於世界的重要性所以是我們戰略上面的護國深山當初他這樣跟我講今天送出去又跟我說沒事
transcript.whisperx[482].start 12311.684
transcript.whisperx[482].end 12336.87
transcript.whisperx[482].text 所以我是老百姓我到底要聽誰的第二個美國也講得很清楚嘛讓台積電到美國去投資讓一些產能到美國他也是為了要降低萬一台海有事情的時候對美國經濟的衝擊嘛那他們也這樣講啊我們的政府跟我們說不是這樣那我要聽誰的誰講的是真的這是我小老百姓的心聲所以部長您剛跟高金這樣回答我在旁邊聽
transcript.whisperx[483].start 12338.59
transcript.whisperx[483].end 12359.819
transcript.whisperx[483].text 當然您是專家啦但是同一個事情以前告訴我的跟今天告訴我的不一樣那我就會懷疑到底以前民進黨跟我說的是真的還是今天民進黨跟我說的是真的第二個美國政府那樣講跟台灣的政府講的又不一樣又彼此矛盾依據最基本的人類邏輯啦我總是要知道哪一個對哪一個錯所以啊
transcript.whisperx[484].start 12360.953
transcript.whisperx[484].end 12381.611
transcript.whisperx[484].text 不要為了官位來騙我們人民這是我剛聽完高津素梅跟您的對話之後我的想法那個水路署長我現在請教一個問題就是這幾天宜蘭那邊雨下很大我有看到發現一個頭城外澳到接天宮那個地方的道路
transcript.whisperx[485].start 12382.492
transcript.whisperx[485].end 12404.648
transcript.whisperx[485].text 那個又再淹水了那我要講今年7月的時候那邊曾經有淹水達到1公尺那我想救災防災勝於救災這個是政府一直來告訴我們的那這個地方的淹水也不是今天才有那我想請問一下對於這個頭城外要這個部分呢你們是不是有所作為已經淹好多次了這邊
transcript.whisperx[486].start 12407.898
transcript.whisperx[486].end 12435.354
transcript.whisperx[486].text 因為我不曉得委員所談的具體位置在哪一邊好 那我現在跟你講我以為說你們多少會知道一點它是在那個外澳通往接天宮的那個道路上面那你們稍微去了解一下在去年 在今年的7月27號那個當天其實淹水曾經進入到一級警戒那淹水在那個濱海路二段一巷往接天宮的寒洞曾經積水達到1公尺我不知道委員 是
transcript.whisperx[487].start 12435.914
transcript.whisperx[487].end 12453.302
transcript.whisperx[487].text 那個我們經過初步了解那邊都是屬於縣政府管理的區域排水那這一個部分我們會來主動跟縣政府這邊共同來合作那你可以承諾我說你會這個部分你們會趕快積極來處理嗎是 我們會來跟縣政府來合作好 謝謝今天我要的就是你的這個承諾是
transcript.whisperx[488].start 12454.423
transcript.whisperx[488].end 12472.007
transcript.whisperx[488].text 那我想治水這個其實是一個大事情嘛有時候也不是地方政府一個人就搞了定一定需要中央我們平常經常講是這樣所以很多治水的經費其實是在中央所以還是要中央麻煩我們不能說地方很急民眾很急地方很急結果中央覺得不急那就不好啦好不好
transcript.whisperx[489].start 12472.987
transcript.whisperx[489].end 12488.613
transcript.whisperx[489].text 這個麻煩您那再來我想請問一下行政院在2023年3月的時候有核定的那個那個蘇澳溪的分洪工程計畫那我知道這個計畫是那個圓山子分洪之後的第二個那種大型的那個分洪隧道
transcript.whisperx[490].start 12489.694
transcript.whisperx[490].end 12510.092
transcript.whisperx[490].text 署長您知道吧我知道好 謝謝那我想請問一下因為這個計畫它在修改後在今年初就已經送到行政院去審查了但到現在10月底還沒有下文雖然署長您不是院長但是我想請問一下這個到底是怎麼回事因為一再拖下去會造成
transcript.whisperx[491].start 12510.752
transcript.whisperx[491].end 12538.504
transcript.whisperx[491].text 成本的往上提通膨的問題 物價的問題會不會搞到最後變成是又沒有錢做了所以署長您知不知道為什麼會卡在行政院那邊是 報告委員這個案件因為本來的整體經費是54億元後來因為整體物價的調整到75.68現在變成75億元因為大幅增加21億元那這個期間當然還有碰到很多的整個預算調整的問題
transcript.whisperx[492].start 12539.324
transcript.whisperx[492].end 12566.866
transcript.whisperx[492].text 所以院裡面現在正在進行相關的審理工作那我們已經報出去了我也知道漲了20億元但是今年初已經那個修改後的已經送過去行政送過去了那這個部分因為我有看到雲林縣它其實它那個楷米颱風之後它也有一個治水的計畫而且它的費用是16億4千多萬在雲林嘛那
transcript.whisperx[493].start 12567.586
transcript.whisperx[493].end 12589.904
transcript.whisperx[493].text 在九月的時候你們就已經就已經都完成了對不對我想這個計畫您知道嘛是 我們開了以後我的意思就是說因為同樣是水利署轄下的防洪跟分洪工程那既然雲林在風災後馬上就核定而且啟動補助的工程那因為但是宜蘭的這個卻上去了九個多月所以您
transcript.whisperx[494].start 12590.905
transcript.whisperx[494].end 12613.605
transcript.whisperx[494].text 您可不可以幫我們一個忙幫宜蘭人一個忙親自去跟行政院協調一下看可不可以讓我們宜蘭的這個案子緊述通過組長可以嗎包委這也是我們努力的方向我們會來做這個事情就是我還是希望這樣我們讓每一個宜蘭人還有經過宜蘭的人可以安全我想這個才是最重要
transcript.whisperx[495].start 12614.346
transcript.whisperx[495].end 12630.377
transcript.whisperx[495].text 因為我想說我們都記得很久以前那個15年前大概到15年前的昨天其實我不知道你記不記得就是那個梅姬颱風其實曾經有一輛車掉到海裡去到現在我們都還找不到那輛車那那個其實很可怕而且是15年前的昨天
transcript.whisperx[496].start 12630.777
transcript.whisperx[496].end 12654.243
transcript.whisperx[496].text 大家都還歷歷在目所以是不是說我們還是把治水這件事情做好然後保護每個人的安全那我最後我希望您在兩個月內給我幾個回復我幾個問題好嗎來第一個水利署可不可以比照中央補助其他縣市的重大治水工程的模式推動投誠外澳周邊防洪跟治水計畫這第一個問題
transcript.whisperx[497].start 12655.703
transcript.whisperx[497].end 12677.296
transcript.whisperx[497].text 第二個問題水利署有沒有已經針對了宜蘭縣淹水熱點完成整體的盤點那第三個問題有沒有具體的整治期程那我希望這幾個都是很重要的議題那我想麻煩貴署在兩個月內給我回覆這三個問題好不好非常謝謝委員我們會來努力好的好的謝謝署長謝謝部長謝謝
transcript.whisperx[498].start 12679.017
transcript.whisperx[498].end 12690.625
transcript.whisperx[498].text 好 那我們請相關主管將剛剛委員所說的一時間來說明清楚 謝謝接下來我們請李昆城委員請做詢問謝謝主席 我們請工部長我們再請工部長
transcript.whisperx[499].start 12707.925
transcript.whisperx[499].end 12727.428
transcript.whisperx[499].text 李委員好部長好 現在大家很關心到底輝達到底要花落台灣的哪裡那我請問一下這個目前輝達跟新進部或是跟台北市政府有沒有定一個期限在這個期限必須要確定在哪裡 有沒有
transcript.whisperx[500].start 12729.225
transcript.whisperx[500].end 12741.616
transcript.whisperx[500].text 輝達只是跟我們講說希望我們在10月24號之前可以提供他但是有正式新聞給你們嗎有有有有正式新聞所以他是說10月24號之前希望能夠確定在哪裡
transcript.whisperx[501].start 12742.145
transcript.whisperx[501].end 12771.451
transcript.whisperx[501].text 不是確定在哪裡所以提供他可能如果十七十八沒有談下來的話可能的備案的基地那他們會啟動就是除了十七十八之外就會開始所以不是說10月24號沒有確定之後他就要離開台灣了不是不是他們會留在台灣會留在台灣有確定嗎有確定一定會留在台灣嗎否則他就不用叫我們找備案找備案對啊然後我問一下找備案有沒有新北市的備案我們會提供有沒有提供啊
transcript.whisperx[502].start 12772.436
transcript.whisperx[502].end 12790.764
transcript.whisperx[502].text 會提供是提供了沒啊還沒有啊23號他說24號之前嘛24號之前如果24號之前沒有在17 18的話他就要找備案了對這有確定了那所以你找的備案裡面會提供這個新北市就對了會包括來新北市你有看中哪裡
transcript.whisperx[503].start 12793.545
transcript.whisperx[503].end 12816.395
transcript.whisperx[503].text 我關心啊 我在新北市就算不在我的三重 我三重沒有地了嘛那新北市在哪裡 在林口 還在哪裡大家都關心嘛 比較合適的比如說三公頃 然後是比較適合它的一個通過大樓的部分那你應該是有準備好了嘛就是說如果到滴答24號沒有的話 你就要提供備案給輝達了嘛對不對大致上有 對啊那有沒有 新北市有嘛對不對 對啊在哪裡要幾個啦 幾個
transcript.whisperx[504].start 12822.185
transcript.whisperx[504].end 12845.15
transcript.whisperx[504].text 新北市提供幾個地方他們這個 輝達認為還是保密給他們因為如果給他們不是 我沒有問你地點了嘛我是說新北市提供幾個給他參考不是 因為如果我們這個也不能講喔對 我們公開以後 那輝達沒選他沒有沒有 所以我沒有說地點啦我說提供幾個給他啦兩個 三個 還是一個我可能要回去check一下這個這麼重要 很多
transcript.whisperx[505].start 12848.018
transcript.whisperx[505].end 12854.054
transcript.whisperx[505].text 我說總totally總totally有多少我們會提供超過10個提供超過10個我們的態度是這樣 回答
transcript.whisperx[506].start 12857.113
transcript.whisperx[506].end 12882.822
transcript.whisperx[506].text 他留在台灣這重點對對對那對我們來講的話事實上每一關基地我們供應沒有沒有我在台北市都是第一名也在爭取那我們新北也是在爭取啊所以我是問說那新北你提供幾個嗎只要我們提供的我們經濟部認為都是第一名都是最好的只是說輝達他有他的這個考量我們也尊重那17 18有解嗎這個我就不知道了你不知道
transcript.whisperx[507].start 12884.037
transcript.whisperx[507].end 12913.107
transcript.whisperx[507].text 所以這個是地方政府的事情嘛 跟經濟部沒有關係經濟部只負責說17 18沒有要提供備案給 給回答就對了好那再請教一下這一個部長齁這個昨天總統有講這個好消息有關關稅的啦他說這一個經貿的談判呢會有很好的進展所以呢會降低暫行關稅20%而且不疊加232條例相關的這個關稅朝最惠國待遇的方向努力
transcript.whisperx[508].start 12914.127
transcript.whisperx[508].end 12936.637
transcript.whisperx[508].text 都正確吧對我們是往這個方向來努力沒有錯不是啊那有沒有確定啊因為總統我看他是講的很有信心啊是不是已經大概確定了不是你要有最後的這個總結會議以後才是算確定對那現在都是一個努力的方向那現在就這個談判如果是進度是百分之百的話那現在到底有幾%80%還是90%應該
transcript.whisperx[509].start 12939.608
transcript.whisperx[509].end 12952.049
transcript.whisperx[509].text 差不多90%了到90%了對對對就是技術性的談判大致上那你應該都確定了嘛但是沒有那我就以總統講的為準因為到90%因為接下來就是細節了對不對
transcript.whisperx[510].start 12953.547
transcript.whisperx[510].end 12980.707
transcript.whisperx[510].text 接下來就是要總結會議所以大概就是總統講的這個方向嘛 對不對那這樣是好消息啊是 我們努力啦 我們努力好 那最後 主席那個我上禮拜有問這個國防部 顧部長就是說啊這個烏克蘭總統卓恩斯基他有講到說我們有這一個台灣的廠商他說是有提供不曉得是什麼樣的零件
transcript.whisperx[511].start 12981.788
transcript.whisperx[511].end 12995.374
transcript.whisperx[511].text 然後呢給俄羅斯然後給他們做成的這個飛彈然後國防部說要跟你們經濟部瞭解後來有瞭解嗎有嗎我請那個我們貿易署有沒有這件事情因為這很嚴重因為這是總統親自講的喔
transcript.whisperx[512].start 12998.414
transcript.whisperx[512].end 13021.176
transcript.whisperx[512].text 烏克蘭總統卓恩斯基他親自講的有沒有去調查 這很嚴重耶那顧部長說會跟你們討論有沒有 沒有同仁跟我講國防部還沒有跟我們聯絡這個不行這樣子我覺得你要把這件事情當作一個很嚴重的事情來看那我們主動跟他聯絡 跟國防部聯絡好了對啊 這件事情一個禮拜給我一個結果好不好好 謝謝
transcript.whisperx[513].start 13027.079
transcript.whisperx[513].end 13048.98
transcript.whisperx[513].text 好 我們接下來請錫富奎委員質詢謝謝主席 有請我們經濟部長 水利署林署長 還有台電曾董事長曾董事長薛委員好 部長好
transcript.whisperx[514].start 13049.884
transcript.whisperx[514].end 13073.024
transcript.whisperx[514].text 部長我想賴總統前天在一個小水利論壇有提到2030年中央要投入9000億元帶動民間的投資4兆元推動再生能源跟綠色基礎建設部長知道這個事情嗎我有看到書面那部長我想部長你在擔任秘書長任內知道屏東有一個很重要的案子大潮州人工湖
transcript.whisperx[515].start 13073.7
transcript.whisperx[515].end 13093.961
transcript.whisperx[515].text 那这个案子去年底被国会退回到经济部修正到目前为止一年的好像还没有送出经济部那问题出在哪里报告委员这个案件在去年六月送行政院那在年底的时候有请那个县政府要来做相关的环境影响的一个差异分析以后
transcript.whisperx[516].start 13094.642
transcript.whisperx[516].end 13120.451
transcript.whisperx[516].text 然後院在這邊再來受理這個案件其實我們針對這個案件我們認為是有效益的所以有請縣政府要共同合作我們很樂觀其成對 我想這個大潮州人工湖是全台唯一也是東南亞最大的一個人工補助湖它效果很好對 它具有洪水的一個減災的效果還有可以涵養地下水最重要也是我們未來這個水資源很重要的一個供應的一個系統那
transcript.whisperx[517].start 13122.586
transcript.whisperx[517].end 13126.153
transcript.whisperx[517].text 鄭董事長你最近有去看過嗎大嫂說我有去過兩次
transcript.whisperx[518].start 13128.907
transcript.whisperx[518].end 13154.828
transcript.whisperx[518].text 对于这个水利发电有没有空间可以发展这个水利发电的案子这个应该是做微水利就是说它基本上是一个有水量但是没有水头的水利设施所以我们大概只能做微水利那其实有很多学者专家有给我们建议那比方说那个丁董事长丁测试董事长我想委员应该也熟那我们如果可以做我们来做主要是水权的主管机关跟台电来合作会比较方便
transcript.whisperx[519].start 13155.387
transcript.whisperx[519].end 13178.504
transcript.whisperx[519].text 我想這個都是我們可以多面向來評估尤其我們現在水跟電都是我們很重要的一個資源來源聽起來評估說比竹子門的效益還更大應該要這樣講就是說現在我們有很多就是有水量有水量流動的地方如果有一些適當的微水力設施它確實是有發電的潛力
transcript.whisperx[520].start 13180.08
transcript.whisperx[520].end 13194.842
transcript.whisperx[520].text 在這邊我還是要特別再拜託部長這個案子我們要加快推動這個我們從好幾任的縣長一直講到現在那尤其我們第一期這個發揮了很大的效益我們期待第二期繼續來努力我聽這個案子能不能加快進行
transcript.whisperx[521].start 13196.803
transcript.whisperx[521].end 13213.553
transcript.whisperx[521].text 主要是開發這個人工湖才要做環評所以我們會來跟縣政府一起努力好 那我想我們還是要幫屏東鄉親請命一下 部長我們這個自來水普及率到目前只有72%遠低於全國的平均值
transcript.whisperx[522].start 13214.073
transcript.whisperx[522].end 13231.529
transcript.whisperx[522].text 那周縣長也上次在這個我們小琉球的時候也感謝李董事長這個小琉球的這個5000噸的配水站做好之後我想小琉球不會有缺水的問題但是我們還是要提醒權限的部分這個普及率能不能再加快速度一下董事長
transcript.whisperx[523].start 13234.999
transcript.whisperx[523].end 13245.195
transcript.whisperx[523].text 謝謝委員指導 那整個屏東縣的供水普及率的部分 我們屏東氣處這邊還有我們配合水利署會積極來爭取無災水地區的一個改善計畫
transcript.whisperx[524].start 13246.823
transcript.whisperx[524].end 13267.652
transcript.whisperx[524].text 那會加速一些沿管的工程 那至於整個平溶線裡面的一些強化供水韌性的部分 包括我們管線更新或是說有些水壓比較低的地區 我們可能會來行密合適的地點來興建一些配水設施 配水池或是增加一些加壓設備 讓整個
transcript.whisperx[525].start 13268.471
transcript.whisperx[525].end 13289.5
transcript.whisperx[525].text 屏東區域的供水可以更穩定的對 董事長這個水源的部分要優先先找因為你們如果水源沒有先找到這邊要增加普及率也是一個大問題是 這我想應該同步要去進行找這個水源的部分對 我們現在屏東縣主要的供水水源是牡丹水庫還有一些林邊湖流水跟一些地下水
transcript.whisperx[526].start 13290.02
transcript.whisperx[526].end 13309.514
transcript.whisperx[526].text 那如果有地下水可以開發的話如果水質OK的話我們會汲取所以未來也可以請台塘吳董事長來幫忙有有有我們有跟台塘他們的管理處有幾個水井如果可以的話我們希望能夠提供給我們作為民生的一個水源
transcript.whisperx[527].start 13310.094
transcript.whisperx[527].end 13334.369
transcript.whisperx[527].text 好 謝謝我想部長最近監察院有特別提到太陽光電他們有一個報告對於太陽光電生設的一個過程存在行政程序不透明審查標準不一還有地方勢力介入的一個問題甚至有很多的外資因為這樣的壓力退出了臺灣市場部長針對這個部分我們經濟部對於未來的能源政策有什麼看法
transcript.whisperx[528].start 13335.034
transcript.whisperx[528].end 13359.612
transcript.whisperx[528].text 是 我請那個署長我們已經針對那幾項事實上已經有一些因應的做法我是不是請署長緊要的跟委員做報告是 有關就是說太陽光電有些弊案我們目前已經跟廉政署成立一個廉政平台那也邀請法務部跟高檢署一起來參加那至於地方所涉及的各個部門因為它有專業的執掌
transcript.whisperx[529].start 13361.013
transcript.whisperx[529].end 13382.405
transcript.whisperx[529].text 那所以在面對不同的申請的狀況的時候他會面對不同的這個條件那我們為了協和目前我們是固定對光電比較多的台南嘉義高雄屏東這四個縣市我們是隔週每週就會找兩個縣市來就一定的申請案件來做討論來協助他們加速完成
transcript.whisperx[530].start 13383.149
transcript.whisperx[530].end 13397.316
transcript.whisperx[530].text 當然部長我們支持這個有不法一定要嚴辦但是針對合法申請的業者也應該要給予保障那尤其有些案子都已經申請很久了這個這個月托為了我們對於我們臺灣的能源我們也擔心不夠這個真的是要審慎來面對這樣一個問題好不好部長謝謝好謝謝好我們接下來請羅廷偉委員質詢
transcript.whisperx[531].start 13418.186
transcript.whisperx[531].end 13443.392
transcript.whisperx[531].text 好謝謝主席有請部長國務部長水利署署長署長好我先請問一下喔部長剛剛大家在討論這個揮打然後說這個17 18如果沒拿到的話24號前要繳交備案嘛對不對那您有準備大概10多個備案請問一下那我也關心一下台中有沒有備案
transcript.whisperx[532].start 13445.218
transcript.whisperx[532].end 13469.84
transcript.whisperx[532].text 我可能要查一下台中就要查一下 新北不用查直接就回答有台中有沒有 可不可以請同仁調一下資料我們是有去問地方政府 如果地方政府有回饋一些給我們的話 我們就會把它你有沒有印象台中有啦 我可能要回去查一下私底下再跟您報告私底下跟我報告 好 我多久可以接到你的訊息
transcript.whisperx[533].start 13471.653
transcript.whisperx[533].end 13477.259
transcript.whisperx[533].text 一個小時24號之前24號之前你是通知揮打還是通知我
transcript.whisperx[534].start 13478.783
transcript.whisperx[534].end 13508.044
transcript.whisperx[534].text 不是吧一兩個小時就告訴我台中有沒有備案這樣就好好不好沒有我要積極的去催促地方政府配合啊不是24號通知我我不重要回答比較重要啊可以嗎盡快盡快好好謝謝那第二個要在這邊喔也要拜託水利署啦水利署其實我在上一個預算會期我有特別關注我們台中有關於柳川市期的這一個預算請問一下明年度有沒有編列啊
transcript.whisperx[535].start 13508.82
transcript.whisperx[535].end 13530.409
transcript.whisperx[535].text 有 這個已經列在我們下一期預算從115年度開始會來做一些這個納入來做檢討我想也跟部長報告柳川是一期 二期 三期其實都做得滿漂亮的啦那也感謝經濟部在幫忙協助那所以三期做完民眾都很期待四期啊
transcript.whisperx[536].start 13530.809
transcript.whisperx[536].end 13548.044
transcript.whisperx[536].text 所以在去年是很可惜沒有這個機會我們會跟市政府一起來合法那我想水利署也答應我明年會編列這個預算那當然我會積極的催促台中市政府應該要把計畫寫好符合你們的一些需求大家一起來努力但你有提供預算他拿不到是他的問題
transcript.whisperx[537].start 13548.905
transcript.whisperx[537].end 13561.144
transcript.whisperx[537].text 但首先我要先處理源頭有確定這個預算那也在這邊感謝水利署是 謝謝那另外我要再拜託部長因為部長我們看到其實經濟部有提供一些不管是菜市場
transcript.whisperx[538].start 13562.345
transcript.whisperx[538].end 13592.025
transcript.whisperx[538].text 或者是一些商圈在改造更新啊或者是市場美學的一些計畫那我有看到在我們的像我之前有爭取我們台中第五市場有一個市場美學有做申請這樣的計畫案也有納入到這個部分希望明年度也有一定的預算比例能夠繼續的運用在市場的更新或者是商圈的一個協助這個部分呢
transcript.whisperx[539].start 13594.688
transcript.whisperx[539].end 13609.644
transcript.whisperx[539].text 應該沒問題吧沒問題那我也另外是希望說因為不知道經濟部有沒有去研究那有一些市場我們說夜市好了夜市能夠如果做成行人徒步區會不會有助於增加整個經濟的帶動部長您的見解呢
transcript.whisperx[540].start 13612.632
transcript.whisperx[540].end 13640.563
transcript.whisperx[540].text 我同意但是這個可能要跟市政府做一些討論當然要討論因為它有地方的一些民情還有交通的一個問題那我是希望說經濟部能不能加大力度的提供胡蘿蔔來鼓勵他們能夠來申請這個部分商圈的整治本來就有來 說明一下我是針對行人徒步區行人徒步區的部分它還是會涉及到地方政府的法規我知道補助的話有沒有
transcript.whisperx[541].start 13642.462
transcript.whisperx[541].end 13652.19
transcript.whisperx[541].text 補助的話我們對於商圈的一些發展環境改善那邊我們是會有一些協助可以協助啦設計方面可以做一些美學的設計
transcript.whisperx[542].start 13653.784
transcript.whisperx[542].end 13677.799
transcript.whisperx[542].text 但是整個投資下去我們還是要跟地方政府一起來合作當然當然不會把所有責任都放在你那邊但是我覺得這個是我最近所關注到的一些議題也希望說能夠大家一起來努力那我想再次感謝經濟部在這兩次我看到不管是水利署或者是我們的商發署能夠幫我協助到地方的一些需求我們也非常感謝以上 謝謝
transcript.whisperx[543].start 13688.31
transcript.whisperx[543].end 13689.311
transcript.whisperx[543].text 請黃宏威質詢好 謝謝主席我請部長 龔部長
transcript.whisperx[544].start 13708.169
transcript.whisperx[544].end 13735.458
transcript.whisperx[544].text 好部長好請教一下這大家都非常關心的就談美關稅總統說呢有好消息那總統比較確定的是說這次的談判沒有涉及匯率那當然在媒體呢就是大家就傳言那起碼有兩項一個是全面開放美豬或者對於美國車的零關稅那今天早上我看到院長有接受採訪
transcript.whisperx[545].start 13736.598
transcript.whisperx[545].end 13757.65
transcript.whisperx[545].text 他沒有正面去回答這個問題只有提到說這個食安啊什麼還是會有保障等等好那我想請教部長就您所了解開放美豬跟開放就是讓美國車零關稅是不是在這一次總統所講的好消息中的其中的兩項
transcript.whisperx[546].start 13759.466
transcript.whisperx[546].end 13777.573
transcript.whisperx[546].text 包委員因為美豬的部分因為我跟談判團隊討論的比較是製造業經濟部主管那我來問你有關於車子的關稅好不好車子的確是有touch到有納入這次的談判那我們這次是針對美規車的零關稅嗎
transcript.whisperx[547].start 13781.596
transcript.whisperx[547].end 13805.671
transcript.whisperx[547].text 是美製車是美國製造的車子所以美製車的話那就代表你不管是美規歐規或者是日本車的品牌只要是在美國製造在美國製造就可以零關稅是不是這樣不一定是零關稅因為談判的結果還沒有做最後確定但是有可能零關稅
transcript.whisperx[548].start 13807.795
transcript.whisperx[548].end 13827.064
transcript.whisperx[548].text 我们希望不要了希望我们希望就是我们的底线是什么我们底线是不要零个关税还是底线就是到最后就是没办法就零关税那我们的这个因为现在也有很多其实这是好几个力量的冲击比如对消费者来讲零关税蛮好的但是对于这个
transcript.whisperx[549].start 13827.904
transcript.whisperx[549].end 13846.503
transcript.whisperx[549].text 对于我们的一些劳工来讲劳工朋友其实也很担心所以我们没有零关税我们现在是17.5%那我们能够接受的最多的底线是什么呢这个就不好大概就是所以可以确定的就是美制车的关税会下降
transcript.whisperx[550].start 13848.312
transcript.whisperx[550].end 13862.833
transcript.whisperx[550].text 會下降方向上方向是如此那而且他不單純只是美規也有歐規因為我知道我們也有一些歐規車在跟我們抗議貿易通關是他的貨品來源是哪裡是如果美規
transcript.whisperx[551].start 13863.514
transcript.whisperx[551].end 13877.951
transcript.whisperx[551].text 美国然后他有附加价值一定的比例他才可以有这样的税率彼此我们也去也是一样我们不能用洗产地的方式拿国外的东西卖给美国然后享受这个优惠关税这个也不行当然
transcript.whisperx[552].start 13878.371
transcript.whisperx[552].end 13898.193
transcript.whisperx[552].text 所以这边就是我们要了解就是很多消费者是关心了那另外要请教一下就是最近川普动作很多那他马上就要来亚洲访问那其中一部分他在因为他不参加那个APEC但是他会去韩国
transcript.whisperx[553].start 13899.695
transcript.whisperx[553].end 13906.48
transcript.whisperx[553].text 而且這次傳出美國跟韓國渴望會有這個有關關稅談判新的進展而且說南韓關稅渴望降到15%像日本也15%如果韓國也降到15%的話那當然
transcript.whisperx[554].start 13919.769
transcript.whisperx[554].end 13935.554
transcript.whisperx[554].text 對於台灣來講因為他們兩個國家在很多產業跟我們是競爭的好所以如果韓國降成15%的話那麼是不是對台灣來說台灣來說是很大的壓力我們有機會談到15%嗎
transcript.whisperx[555].start 13937.595
transcript.whisperx[555].end 13953.85
transcript.whisperx[555].text 是 报告委员这个也是我们努力的方向的确就像您讲的我们很多产品是跟日韩是有一些竞争关系但是对我们比较辛苦的是因为我们对美国的顺差远高于这两个国家所以我们当然会一定会努力希望
transcript.whisperx[556].start 13954.511
transcript.whisperx[556].end 13979.543
transcript.whisperx[556].text 我們有沒有機會到15%現在韓國如果15%的話對我們壓力太大了對對對 我們努力那另外 大家很關心的我們20%你們說是暫時性的這一暫時也好幾個月都過去了請問這個暫時還要維持多久然後我們可以什麼時候不用疊加現在我們還是20%是疊加結果人家韓國準備要降到15%了
transcript.whisperx[557].start 13980.843
transcript.whisperx[557].end 14004.573
transcript.whisperx[557].text 如果今年不是今年底是本月底這個月底韓國跟美國真的談出一個關稅降到15%而我們還要疊加所以請問一下所謂我們的暫時性關稅部長能不能給我們一個就是一個期盼可不可以在今年底之前我們至少看到我們不需要疊加
transcript.whisperx[558].start 14006.251
transcript.whisperx[558].end 14034.28
transcript.whisperx[558].text 這個我們來努力那我的信心雖然沒有辦法到百分之百但是我滿有信心可以努力那部長可不可以跟我們透露一下我們到底什麼時候會台美之間這些關稅的這些談判大概幾月份可以明朗因為最後的總結會議還是要雙方彼此間可以達成共識以後或者有時間十月底有沒有可能因為最近剛好在
transcript.whisperx[559].start 14035.287
transcript.whisperx[559].end 14058.51
transcript.whisperx[559].text 在APEC的世界呢所以就很難了因為他們都在忙都在忙要怎麼跟那個習近平見面怎麼去跟忙跟李在民見面他要去東南亞嘛所以10月底不可能11月底呢我們盡量11月最快最快要到11月才有可能明朗好不好我們希望這個暫時不要再繼續拖時間好不好好 謝謝
transcript.whisperx[560].start 14065.796
transcript.whisperx[560].end 14081.449
transcript.whisperx[560].text 好 接下來我們請武力法委員質詢謝謝主席 有請部長好 國務部長
transcript.whisperx[561].start 14090.374
transcript.whisperx[561].end 14114.146
transcript.whisperx[561].text 部長好這一次的丹納斯及728的這個特別條例我們看到在經濟部這邊電力系統編列了110億元那其中有一個叫做小型防災的微電網跟移動式電源那我也看到就是我上次總諮詢有說這個部分會
transcript.whisperx[562].start 14116.207
transcript.whisperx[562].end 14125.113
transcript.whisperx[562].text 提8億元的經費 但是我比較想了解就是目前規劃要在哪些地方做怎麼做是
transcript.whisperx[563].start 14128.257
transcript.whisperx[563].end 14146.679
transcript.whisperx[563].text 目前大概两部分那经济部的是我们会请地方政府来提他认为他最需要的受灾的地方那这方面好那另外是台电公司那么他也已经优先选定一些地方我们大概两方面我们能源署这8亿跟台电公司会配合一起来做
transcript.whisperx[564].start 14147.119
transcript.whisperx[564].end 14176.759
transcript.whisperx[564].text 好當然是要跟台電公司配合所以我這邊有一個就是內政部消防署他曾經盤點了13個縣市186處議程災害孤島地區那這其中當然有非常多非常多的一個原鄉那事實上我們也很關心因為這一次有一個令人非常驚訝的就是大家正在關注馬太安溪煙色湖的時候竟然呢
transcript.whisperx[565].start 14177.319
transcript.whisperx[565].end 14199.651
transcript.whisperx[565].text 在台東海端鄉最裡面的利稻物路兩個部落它的災況沒有人知道很慢傳出來而且裡面就是因為有廠商剛好有帶衛星電話才好不容易把畫面傳出來
transcript.whisperx[566].start 14201.052
transcript.whisperx[566].end 14225.625
transcript.whisperx[566].text 那當然這個部分是讓我們覺得非常的驚訝啦所以我們其實非常關心就是這一些一成災害孤島的地區我們是不是應該善用這一次的經費好好的去盤點到底我們應該留在不是公所囉因為公所不知道喔現在是要留在各部落我們到底要為他們建置什麼留什麼那不曉得部長你有沒有什麼看法
transcript.whisperx[567].start 14229.91
transcript.whisperx[567].end 14254.129
transcript.whisperx[567].text 内政部的确是有把台湾的这些可能成为孤岛的部分做了一些盘点那我们跟他们也有去初步询问就是说这些孤岛需要刚刚提到的这些电网设施微电网设施因为还有些通讯设施的部分目前来讲比较优先的大概有50几个地方那我们就会优先来看这50几个地方
transcript.whisperx[568].start 14255.15
transcript.whisperx[568].end 14282.385
transcript.whisperx[568].text 要設置在哪一個地方就是它比如說學校裡面還是社區中心還是等等一些情況我就是希望能夠好好的比較細微的去做一個精緻的盤點跟設置好不好對 沒有錯那第二個部分我想請教一下因為我們其實這幾年每一次去勘災其實我有一些心得我以高雄的那馬下區跟桃園區為例
transcript.whisperx[569].start 14284.486
transcript.whisperx[569].end 14312.181
transcript.whisperx[569].text 他們一個是男子仙溪一個是老農溪但是呢這個河川的這個界點讓我很頭痛啊為什麼因為以桃園來講他可能河川署的這個範圍比較長所以呢經常他們要求做戶案的時候比較容易取得經費可是呢我們來去看納瑪夏的時候他那個男子仙溪大部分都是水保署
transcript.whisperx[570].start 14313.101
transcript.whisperx[570].end 14338.84
transcript.whisperx[570].text 所以每一次做出的互按需求好像都找不到錢我其實有去看了一下我們有一個中央管籍跨省市河川界點有這樣的一個會議我看了一下其實看似好像每隔幾年都有在檢討但是我實際去看沒有做任何的調整是很難嗎
transcript.whisperx[571].start 14340.121
transcript.whisperx[571].end 14356.412
transcript.whisperx[571].text 還有現在的坑溝其實像溪現在的溪是河所以我覺得莫拉克之後其實我們的整個地形地貌河川都產生很大的改變我不太曉得說到底有沒有檢討的平台有沒有檢討的精緻
transcript.whisperx[572].start 14359.554
transcript.whisperx[572].end 14378.903
transcript.whisperx[572].text 八號委員這個確實有些難度因為各單位都有他的本職要去做的工作但是我覺得委員所談的我們可以納入我們去年剛成立的水域流域的一個推動小組但是由行政院副院長承舉的很好有這個平台機制我們可以在那邊來做討論沒有問題
transcript.whisperx[573].start 14380.784
transcript.whisperx[573].end 14396.589
transcript.whisperx[573].text 我們真的希望討論一下因為我覺得至少他在經費上真的就完全不一樣心有餘力不足那我覺得這個都要全盤的來監討要不然每一個區域都很不公平對不對那不好意思主席再給我一分鐘
transcript.whisperx[574].start 14397.449
transcript.whisperx[574].end 14407.5
transcript.whisperx[574].text 好 那第三個我就想要了解一下關於水的問題因為我們經常在處理民眾想要設減水想要設所謂自來水但是這幾年整個風箱都變了就是我們原鄉地區開始都在掙扎要自來水
transcript.whisperx[575].start 14416.329
transcript.whisperx[575].end 14443.122
transcript.whisperx[575].text 這個跟我們過去不喜歡舊木更新現在都掙扎要排隊舊木更新可是政府的經費不知道是越來越多還是越來越少那以這個供水普及率鹽管加減水我知道屏東72跟人家都90幾差很多那沒有關係時間的關係我希望給我一個原因一個書面報告但是我也要問一個我比較關心的就是關於鹽管的部分因為我們全國跑你看這個濁西鄉
transcript.whisperx[576].start 14447.785
transcript.whisperx[576].end 14452.074
transcript.whisperx[576].text 21.56欸那我要講喔我也有很多案子 卓西鄉很多部落都跟我要喔
transcript.whisperx[577].start 14453.168
transcript.whisperx[577].end 14477.298
transcript.whisperx[577].text 但是我發現很難喔我不知道到底是縣政府的問題還是鄉公所的問題還是到底是中央的問題我不知道喔但是真的很難喔難怪它那麼低我們會來努力啦有些是因為地方他們已經有一個減水的管理委員會那他們可能有一些疑慮那這個我們會再來努力因為本來這就是我們應該來推動的我知道的有時候也不太是這樣啦
transcript.whisperx[578].start 14478.258
transcript.whisperx[578].end 14506.777
transcript.whisperx[578].text 我覺得其實我們這全國各縣市我們大概都看得出哪裡一樣哪裡不一樣我真的覺得有一些很麻煩的地方人家不需要附上的附件他需要這就很怪那我想這個部分反正就給我原因給我原因好不好就盤這一些很低的像萬榮鄉海端鄉都很低好 謝謝那再來就是最後一個問題因為我很高興我進來立法院的時候我知道在我們的經濟部
transcript.whisperx[579].start 14507.978
transcript.whisperx[579].end 14522.773
transcript.whisperx[579].text 有一個技術師那很開心那個時候他就有提供仁愛鄉做大合當歸那後來悟台鄉也爭取到去幫助他們的金釵石湖那後來112年補助兩個113年補助三個
transcript.whisperx[580].start 14525.396
transcript.whisperx[580].end 14551.545
transcript.whisperx[580].text 今年度補助四個其實我是要肯定因為我覺得我們原鄉有了這個那個技術師的經費導入真的這一些的產業發展很不一樣但是我想請教一下所有這幾個案子是哪一個單位在做工研院嘛我是要提醒啦其實我是故意問啦為什麼因為
transcript.whisperx[581].start 14553.069
transcript.whisperx[581].end 14569.217
transcript.whisperx[581].text 不要帶案子去找標的我發現這個效果很差我覺得應該是要來自地方的主動需求去協助 理解我的意思嗎因為我都 很多我都知道那我就知道他們的效果不一樣
transcript.whisperx[582].start 14570.821
transcript.whisperx[582].end 14584.787
transcript.whisperx[582].text 我只是要做這個提醒可以嗎我們做地方創生也是要以原鄉他們的在地需求為主我希望是需求之後工研院來幫忙但是我不太希望是主動已經有一些技術一定是解決在地他們的需求為主那謝謝部長 謝謝主席
transcript.whisperx[583].start 14596.854
transcript.whisperx[583].end 14614.892
transcript.whisperx[583].text 好 何欣淳委員何欣淳委員何欣淳委員不在好 洪孟凱委員主席謝謝主席謝謝 麻煩請龔明欣部長部長
transcript.whisperx[584].start 14622.503
transcript.whisperx[584].end 14648.377
transcript.whisperx[584].text 好 部長好我想大家都很關心台美關係關稅的一個談判嘛那我想很多委員都有詢問過但我延續昨天我在總質詢的一個詢問我再請教一下因為現在10月底有可能川習會那川普也已經講是說台灣議題一定會被討論當中那我們過去您擔任秘書長也好或是說擔任現在部長也好其實關稅的部分也都有共同的一個參與我想請教有沒有
transcript.whisperx[585].start 14649.177
transcript.whisperx[585].end 14673.309
transcript.whisperx[585].text 確定或說了解說在這個過程裡面台灣的台美關稅的一個議題有可能也會被納入其中去做討論報告委員據我自己的參與的部分我沒有全面參與但是台美之間的談判應該是跟中國跟美中的談判或是美中的議題沒有直接關係那所以川普所講的台灣議題
transcript.whisperx[586].start 14674.733
transcript.whisperx[586].end 14691.151
transcript.whisperx[586].text 就我们的理解或者说我们的谈判团队来讲而且巴委员事实上跟我们组团的是USTR跟商务部但是跟美国组团好像是他们的财政部长所以好像也不太一样
transcript.whisperx[587].start 14692.052
transcript.whisperx[587].end 14716.301
transcript.whisperx[587].text 是不一樣 但是現在我們先想問的是因為大家 你們是談判的代表我想對於台灣2300的社團來講都希望我們談判的代表能夠談出一個亮麗的成績這個是我們絕對不會期待或是說我們絕對不會唱衰說我希望談判不好我希望你談判好但是現在很明確的川普總統就已經有提到是說他月底見面的時候會拿台灣議題來談
transcript.whisperx[588].start 14717.722
transcript.whisperx[588].end 14735.259
transcript.whisperx[588].text 那台灣議題到底是包括政治議題包括主權議題還是包括經濟議題有沒有掌握這個我就不知道也沒有辦法掌握對對對對那會不會擔心有包括經濟議題甚至如果說美中談完之後有對台灣有不利的一個條款
transcript.whisperx[589].start 14735.879
transcript.whisperx[589].end 14747.982
transcript.whisperx[589].text 譬如說台灣的產品排除或說技術或是關稅的部分那我們有沒有備案或是因應不是 看起來就是沒有關係啊因為我們主要談的是是你的期待還是你了解沒有關係
transcript.whisperx[590].start 14749.493
transcript.whisperx[590].end 14776.486
transcript.whisperx[590].text 至少我知道的部分是沒有什麼關係是 因為我們現在想問的是外交部像昨天我在總質詢的時候你也在現場所以你也有聽到是說我請教院長說到底有沒有掌握所謂的台灣議題到底是包含哪些的時候外交部第一時間也沒有辦法告訴我們正確答案是 因為那一天好像一早的新聞出來是 昨天對 一早所以說實在話我也第一次看到這樣的新聞
transcript.whisperx[591].start 14777.519
transcript.whisperx[591].end 14795.954
transcript.whisperx[591].text 所以在過去的談判過程裡面都是美台之間沒有涉及其他我們持續密切掌握但是本席還是提醒一下因為畢竟瞬時萬變但是經濟部要做好充分的應變措施那部長另外一個部分也請教
transcript.whisperx[592].start 14796.855
transcript.whisperx[592].end 14825.189
transcript.whisperx[592].text 之前輝達有講是說要來台北來台灣投資那我昨天我也說了就是說經濟部我們看到媒體報導是講是說有提供至少兩塊地包括林口國際媒體園區以及松南營區這兩塊地給輝達做選擇對那是國產署他已經好像有對外講的確的確那我們經濟部因為我早上又看到您在回答是說我們經濟部預期打算十塊地以上就雙位數是不是
transcript.whisperx[593].start 14825.769
transcript.whisperx[593].end 14841.401
transcript.whisperx[593].text 對 因為我們是這樣想就是對我們來講輝達當然有他的條件跟這個但是對我們來講的話我們給他越多的選擇他是越可能留在台灣是所以我們就往這個方向來進行好 所以我們預計會給他多少選擇
transcript.whisperx[594].start 14842.728
transcript.whisperx[594].end 14865.576
transcript.whisperx[594].text 我們希望還是超過10或10個以上部長我接下來問題就很關鍵囉因為揮打只有一家是對不對再怎麼樣到最後脆平中選就新娘不是我很有可能其他假設你10塊地啊包括現在台北市的這個這兩塊原本的地我們不會對外公佈來我知道你先聽完我再來告訴您說應該經濟部要做的事情是什麼就是說
transcript.whisperx[595].start 14867.518
transcript.whisperx[595].end 14884.916
transcript.whisperx[595].text 輝達只有一家到最後出來之後新娘不是我剩下9塊地沒有可是既然經濟部會把它列為備選名單提供給輝達那就代表說那9塊地不管是條件地理位置以及人口以及技術以及跟人才的
transcript.whisperx[596].start 14885.376
transcript.whisperx[596].end 14908.573
transcript.whisperx[596].text 都不錯沒錯這就是重點包括本席所在的林口國際媒體園區那過去因為有被財政部先列管說所謂有可能要做社宅但是現在也已經解編了而且也被經濟部拿出來當成是給揮打選擇的其中之一那本席想要問以及強調的就是那假設揮打選擇了
transcript.whisperx[597].start 14910.848
transcript.whisperx[597].end 14927.303
transcript.whisperx[597].text 到最後確評重選不是我們這地但我們這地也確實被經濟部列為是很不錯的地那經濟部是不是有責任跟計畫要來協助招商對我們也會把這個地推介給比如說外國的企業那就要更積極因為 回答
transcript.whisperx[598].start 14929.012
transcript.whisperx[598].end 14949.849
transcript.whisperx[598].text 選擇一個那能不能我們用這個地因為你已經盤點在這一次你已經盤點出來假設10塊地包括林口包括松南等等的那這些地的條件都很好那應該再去跟其他的國際大廠國際公司來問Google問Intel問其他各行各業有條件資格跟輝達相匹配的
transcript.whisperx[599].start 14950.714
transcript.whisperx[599].end 14965.401
transcript.whisperx[599].text 我們是不是可以來更積極的做可以這就不是只是地方政府的責任囉是 對不對因為你等於是利用揮打來的這次機會全台灣再盤點一次而且好的地把它盤點出來那我們就可以主動出擊去找其他的
transcript.whisperx[600].start 14966.381
transcript.whisperx[600].end 14982.786
transcript.whisperx[600].text 國際大廠來問說我們有這些地有沒有意願 主動出席我們可以做但是我們還是要跟地方政府再討論一次因為他說不定那你之前釋出林口揮打的時候有跟地方政府討論過嗎有有有地方政府說不定他只喜歡揮打因為新北市政府也很支持這個案子如果他
transcript.whisperx[601].start 14984.006
transcript.whisperx[601].end 15005.853
transcript.whisperx[601].text 揮打之外他也可以接受其他的國際大廠那我們當然來努力啊我想應該不會有地方這麼反對說我指一定指名揮打然後其他Intel Google來我反對吧所以部長這就本席今天因為您今天來做這個業務報告嘛那您過去秘書長我們也很多次的一個共識我想對於您的專業我還是予以
transcript.whisperx[602].start 15007.472
transcript.whisperx[602].end 15032.044
transcript.whisperx[602].text 一定程度的肯定那我也拜託既然我們已經有列出來了那揮打確定之後其他我們也可以用這樣子的土地再去更積極的招商我想這是經濟部跟地方政府可以充分配合的不分藍綠跟黨派因為只要有國際公司來即便落腳在新北市也是台灣好也是中華民國好對經濟部而言是這樣再拜託部長好不好謝謝
transcript.whisperx[603].start 15038.868
transcript.whisperx[603].end 15062.817
transcript.whisperx[603].text 好 接下來我們請謝榮介委員質詢主席 我要請金保董 部長
transcript.whisperx[604].start 15070.146
transcript.whisperx[604].end 15096.014
transcript.whisperx[604].text 社員好部長你好我用和樂圍你覺得有困難應該聽得懂應該聽得懂你故鄉哪裡我在台北你台北市對 台北市所以沒有啦以前我們內湖算是鄉下內湖現在一坪有六百萬你告訴我鄉下沒有啦我出生的時候我出生的時候那時候算鄉下
transcript.whisperx[605].start 15100.305
transcript.whisperx[605].end 15114.67
transcript.whisperx[605].text 這樣就是表示 我要問你這個就是說 卡蘇你是來自水源保護窟啦水源保護窟你了解吧我知道啊我們台南市的水口這麼多 比威威水源保護窟的地方是有夠寬我們的鄉親他想要去一間便宿 要住一間寮都不行 都要接受限制跟藥送了 了解
transcript.whisperx[606].start 15126.383
transcript.whisperx[606].end 15139.753
transcript.whisperx[606].text 那麼在這個水源保護庫裡面竟然關節這麼嚴重來做這種太陽臨盤的發展本身絕對沒有反對太陽臨但我反對的是不正常的太陽臨太陽臨太陽臨太陽臨太陽臨我想大家都一樣的態度
transcript.whisperx[607].start 15152.981
transcript.whisperx[607].end 15177.25
transcript.whisperx[607].text 那麼我請教你這個水庫的太陽能我們收工的單價是不是比較貴價格我可能要請那個美術這你不瞭解所以不怪 說明一下水面型的我們是依照不同的太陽那水面型的是比地面型的小型的地面型的要比較貴一點貴多少
transcript.whisperx[608].start 15182.589
transcript.whisperx[608].end 15197.441
transcript.whisperx[608].text 比較好彈比較好彈 又比較大噹4塊以下我們查一下那個差額因為我們有分好幾個級距差額差不多就4到5啦比其他的太陽能還要4到5啊 照理講它在水面上的發電耗爐比在陸上的發電耗爐比較好一點對 理論上是這樣 溫度比較低一點發電比較多 價格又比較好
transcript.whisperx[609].start 15212.677
transcript.whisperx[609].end 15228.933
transcript.whisperx[609].text 那麼在水管保護庫裡面 鄉親最擔心的是水手的汙染我想大家都關心因為水手的汙染 灌溉用水手的汙染那麼本縮省委民意代表替鄉親提出建議
transcript.whisperx[610].start 15230.592
transcript.whisperx[610].end 15257.57
transcript.whisperx[610].text 有本會的委員說 邱雄已經算明清澈了根本清澈就沒用清潔這個你又繼續在講 所以對本席提供 柏中你的看法如何沒有 我們是釐清啦 如果有誤解我們就盡量來釐清沒有這樣行為民意代表啦 我跟你講 那麼經過入鎮充分算明 入鎮算明你就要聽喔
transcript.whisperx[611].start 15259.173
transcript.whisperx[611].end 15288.036
transcript.whisperx[611].text 你經濟沒發泡那麼多 藥劑跟你說我都合法你就要聽嗎?要責任嗎?當然要責任啊對 要責任藥劑清洗是不是藥劑在洗?不是啊所以水質 它還在發泡 你聽到沒有?它還在發泡讓清潔藥劑去做所以這個水質一定要定期檢查 就是這樣水質定期檢查合理嘛 都檢出
transcript.whisperx[612].start 15289.605
transcript.whisperx[612].end 15310.223
transcript.whisperx[612].text 有寫這個成分的時候那麼民意代表鄉親敬意 關心有合理沒有啦有合理沒有但是沒有檢查出來 到目前為止在嘉南農田水理會網站要說明清楚嘛這個
transcript.whisperx[613].start 15313.291
transcript.whisperx[613].end 15333.134
transcript.whisperx[613].text 用泥煮的蓋冰 像這個到底這是天然的 都會擔心說那是天然的啦因為你如果是用清潔器洗的話 它的容量會不一樣啦到底天然的要合成的 你用殼那個鎖骨 第一 第二
transcript.whisperx[614].start 15334.417
transcript.whisperx[614].end 15362.252
transcript.whisperx[614].text 因為有青蛇夾架出來主撲公他們可能有用到完皮包的鄉民洗個澡啦這個洗個澡就算是去共生啦專門在洗替身啦洗鄉民的當有這個消息出來當然我們會更加關心嘛所以本縣提議要求夾架合時合地準備青蛇要說不
transcript.whisperx[615].start 15363.652
transcript.whisperx[615].end 15387.783
transcript.whisperx[615].text 可以 可以 這個可以 好來要求嚴重 清洗的時候 要滴薄 做得夠嗎因為 你說用水口的水洗啊沒有煮來水啊 煮到要塞進去啊他水要怎麼塞進去 他用水口的水洗洗會乾淨 洗不乾淨 不管可以滴薄嗎 沒錯 有辦法滴薄嗎
transcript.whisperx[616].start 15389.878
transcript.whisperx[616].end 15408.858
transcript.whisperx[616].text 我們就是他要清洗的時候我們可以讓大家知道有興趣的人可以來參加是這樣嗎可以要求他給我們賺那麼多錢可以要求他清洗的時候採出內部的硬幣依照工信給我們台南的鄉親說這水這樣他用水口的水洗
transcript.whisperx[617].start 15411.36
transcript.whisperx[617].end 15438.815
transcript.whisperx[617].text 沒有汙染 有的人說用水口的水洗也有汙染這點分析可以同意 沒有汙染那個技術上看他直播會有但是我們請那個村里的辦公室的同仁一起去你忙著找村里辦公室啦啦你一定很忙的啦 我也同事你一定很關心但是他眼睛緊緊 人最重要的就是你的病啦可以要求夾症民政要派代表的話也可以啦
transcript.whisperx[618].start 15439.694
transcript.whisperx[618].end 15455.676
transcript.whisperx[618].text 嚇死啦業者他是清洗的行為人嘛我們要看技術上可不可行啦第一這不正確性本啦第一這不正確性本啦他如果不可行他可以通知本縣我們可以幫忙
transcript.whisperx[619].start 15457.852
transcript.whisperx[619].end 15461.598
transcript.whisperx[619].text 我也要跟署長看看這沒有整個身份啦我是說啦我們一定會公開透明這個是原則啦讓鄉親知道說這沒問題不是你說沒有就沒有我說有就有啊
transcript.whisperx[620].start 15470.66
transcript.whisperx[620].end 15495.533
transcript.whisperx[620].text 大家在這裡好嘴小噴口露營是啊 公開透明 他們要清洗的時候你如果可以 核實核立第一階段要清洗核過核立第二階段要清洗我們都要保護讓大家透明兼施這樣就是讓台南的鄉親把這個紀錄放開了不然你現在這樣說人家就不相信你了我同意啊 就是公開透明做得到嗎 做得到
transcript.whisperx[621].start 15509.229
transcript.whisperx[621].end 15537.859
transcript.whisperx[621].text 好接下來羅明財羅明財羅明財委員不在望美玲望美玲望美玲委員不在牛喜婷牛喜婷牛喜婷委員不在蘇清淺蘇清淺蘇清淺委員不在現在請林楚英委員質詢好主席辛苦了有請龔敏興工部長好部長
transcript.whisperx[622].start 15544.741
transcript.whisperx[622].end 15573.327
transcript.whisperx[622].text 林委員好部長好我來問的這一題我剛剛在外交委員會其實我也問過了因為今天外委會剛好安排的是有關於關稅進度的一個報告那麼我們知道其實川普上台之後他的CBP也就是他的所謂的這個管制局關稅級邊境的保護局可以說是這個power非常大那麼過去當然台灣在漁工的部分也有被美國
transcript.whisperx[623].start 15574.948
transcript.whisperx[623].end 15584.559
transcript.whisperx[623].text 來發所謂的暫時的扣押令但是9月24號這個是製造業的首例那麼如果我們去爬書像是新聞報導會發現他們是被檢舉而且是有少數的媒體在報導之後現在
transcript.whisperx[624].start 15590.445
transcript.whisperx[624].end 15608.971
transcript.whisperx[624].text 有關於捷安特也就是巨大機械他們被視為是在強迫勞動的部分被美國的海關際邊境保護局扣押了台灣製造的自行車跟零組件的配件剛剛我在外委會詢問的時候我知道巨大現在在9月30號他發出了這個
transcript.whisperx[625].start 15612.252
transcript.whisperx[625].end 15641.432
transcript.whisperx[625].text 請求書給我們政府但是他是發給外交部經濟部又加勞動部首先我要第一個問的是現在跟美國做組織溝通的部分是巨大機械自己來處理嗎還是台灣有什麼樣的部會或者是機構可以作為一個協助因為我會問這一題的原因就在於這樣的一個案例會不會影響到接下來我們其他的商業的談判的部分
transcript.whisperx[626].start 15641.952
transcript.whisperx[626].end 15661.101
transcript.whisperx[626].text 尤其是製造業需要高人力科技業 傳產有沒有可能都因為要符合美國現在所謂他們的標準跟他們的人權的勞工制度的規則而變成是從一個個案變通案部長怎麼看
transcript.whisperx[627].start 15661.921
transcript.whisperx[627].end 15686.151
transcript.whisperx[627].text 报告委员就是因为这件事情第一时间我们跟巨大有密切的联系那美方也有跟我们讲但是美方很清楚的讲说这个个案跟现在台美之间对等谈判是没有关系的他有清楚的讲那这个就像您刚才提到可能有单位去检举然后他们可能也有书面的了解以后
transcript.whisperx[628].start 15686.789
transcript.whisperx[628].end 15702.834
transcript.whisperx[628].text 那是暫時性的一些處分那我們了解以後我們就跟美方說那我們怎麼可以來做一些處理那美方的意思是說因為它是一個個案而且是單一的企業跟這個他們美國的邊境
transcript.whisperx[629].start 15703.334
transcript.whisperx[629].end 15732.618
transcript.whisperx[629].text 保护署他们之间的这个法律上可能是不是有一些误解或沟通可能还是要他们跟这个CPP来做一些说明那我们就会帮这个巨大去介绍就是在美国的可能的律师因为曾经有律师只有少数的律师他们也曾经类似的案件然后获得撤销有经验对 是少数的那我们推荐给他然后后来巨大他也连接上了
transcript.whisperx[630].start 15733.078
transcript.whisperx[630].end 15748.144
transcript.whisperx[630].text 那現在他也可能也定了時間那目前的期程跟進度是如何有沒有訊息我們只是知道就是說他在一定的特定的時間裡面他會跟CPP去做一些說明
transcript.whisperx[631].start 15748.784
transcript.whisperx[631].end 15766.387
transcript.whisperx[631].text 因為在這個部分的過程當中有一些專家跟學者特別用過去台灣的漁船在這個所謂漁工的對待上面受到美國發布這個所謂戰扣令的制裁的過程當中有特別提到就是他認為你涉嫌所以我就先扣下來
transcript.whisperx[632].start 15767.088
transcript.whisperx[632].end 15784.26
transcript.whisperx[632].text 扣下來之後你就去打官司或者是證明自己的清白那麼從這個個案當中會讓其他的不論是傳產製造業或者是接下來的科技業會擔憂那麼到底我今天在美國的境外在台灣或其他地方設廠的
transcript.whisperx[633].start 15785.56
transcript.whisperx[633].end 15812.559
transcript.whisperx[633].text 我不是代工而是我自己的做自由品牌的時候那麼會不會有另外一種就是在美國這邊以他的標準但是境外要達到他的標準的時候那麼對於我們的科技業又或者是傳產業會不會造成一些所謂的影響不知道委員因為CPP只要是全世界各國他要出口產品到美國他都要受到他的一個
transcript.whisperx[634].start 15814.827
transcript.whisperx[634].end 15830.423
transcript.whisperx[634].text 他规定他要满足他的一些规定那这些事件是主要是因为台湾的厂商在雇用这个外籍移工的时候是类似被人家检举就是说是不是涉嫌有强迫劳动的
transcript.whisperx[635].start 15831.064
transcript.whisperx[635].end 15846.532
transcript.whisperx[635].text 的可能 可怀疑所以现在巨大就可能要去做一些说明就是说当然美方它也有关系几个重要的问题比如说它的宿舍环境或者是说
transcript.whisperx[636].start 15847.192
transcript.whisperx[636].end 15861.569
transcript.whisperx[636].text 其他的就是说我们在雇佣外籍移工的时候的仲介费到底是谁来支付的问题类似这个那我们会一一如果是属于通案我们会一一去处理那个案的部分我们协助他跟这个CPP来做说明
transcript.whisperx[637].start 15861.889
transcript.whisperx[637].end 15891.207
transcript.whisperx[637].text 好 那么从这个案子因为我知道时间到了那么所以我也提醒经济部在这个部分就是应该有一个个案发生之后其他相关的产业包括传产或科技业恐怕他们也会有所担忧那么是不是可以给一个指引或者是说给一些讯息上面的联系让这些产业界能够有相关的指引可寻对 所以这个部分我们跟劳动部会密切的沟通那劳动部也会因为这样也要定一个指引出来的确是这样的好 谢谢
transcript.whisperx[638].start 15899.205
transcript.whisperx[638].end 15918.406
transcript.whisperx[638].text 習以珍 習整委員不在 鍾嘉斌 鍾嘉斌 鍾嘉斌委員不在我們現在請張家俊 三分鐘謝謝主席 我想請龔部長
transcript.whisperx[639].start 15924.892
transcript.whisperx[639].end 15940.421
transcript.whisperx[639].text 部長本席相信您一上任就要面臨的一大挑戰就是剛剛很多委員都問的就是說揮打要如何就是弱角在台灣那揮打的問題不僅攸關台灣AI產業鏈的核心地位也關係著國際投資對台灣營商環境的信心那這一點部長您認同嗎
transcript.whisperx[640].start 15951.167
transcript.whisperx[640].end 15969.699
transcript.whisperx[640].text 是 輝達它現在在台灣有三個部分一個部分它的算力中心也會在台灣另外一個跟我們所謂的研發中心也留在台灣了那現在就是它的海外總部也希望是在台灣那我們會努力把這個事情拿出來把這三個都留在台灣那請問一下你們努力的方向有什麼具體的作為嗎
transcript.whisperx[641].start 15975.382
transcript.whisperx[641].end 15991.722
transcript.whisperx[641].text 因為輝達現在需要我們的是說萬一這個T-17-18如果沒有彈程的情況之下可不可以有其他的基地提供給它做參考要不要建議他們來我們雲林呢我們雲林不缺水不缺電而且我們有高鐵還有台大
transcript.whisperx[642].start 15993.404
transcript.whisperx[642].end 15995.945
transcript.whisperx[642].text 而且我們現在中科二期過大假設有部長的支持的話我們有一個32.8公頃的土地就在中科雲林旁邊非常方便是台塘的土地你三個都可以來雲林啊因為他需要的是企業總部啦海外企業總部所以他需要的面積大概3公頃到4公頃
transcript.whisperx[643].start 16019.298
transcript.whisperx[643].end 16033.928
transcript.whisperx[643].text 是 但你說還有算力中心還有研發中心嘛他們已經有一些規劃了是…那有關於這個部分我想最新消息是台新金跟新壽願意把地還給台北市不曉得部長有沒有掌握這是否屬實呢這個我就不知道了
transcript.whisperx[644].start 16037.33
transcript.whisperx[644].end 16055.036
transcript.whisperx[644].text 所以不確定還不確定所以呢我們也很希望說我們傳遞給全球的訊息不是中央跟地方誰的責任而是台灣政府有能力可以整合我們整合內部然後提供穩定的這個投資條件那我想這個
transcript.whisperx[645].start 16056.917
transcript.whisperx[645].end 16085.298
transcript.whisperx[645].text 是一個國際資金跟人才投資信任的象徵喔所以呢也希望說台灣作為一個半導體的強國那甚至喔在亞太在全球的重要性那所以政府喔尤其是您是經濟部部長那您有擔任過秘書長您最知道說怎麼樣整合怎麼樣調停頂賴喔所以可能也要請部長積極介入喔協助台北市政府喔或者是其他揮打有興趣的土地喔
transcript.whisperx[646].start 16086.018
transcript.whisperx[646].end 16112.71
transcript.whisperx[646].text 儘快的趕快讓它可以落腳這一點部長好的因為17 18那是合約關係契約關係但是如果其他的土地包括包括台北市政府裡面松南的部分有市政府的土地也有國產那我們可以盡量來最後我再問您一個問題就上週五我們三讀通過了有關於普發現金一萬元不曉得部長現在預計什麼時候可以發放部長知道嗎
transcript.whisperx[647].start 16113.894
transcript.whisperx[647].end 16140.227
transcript.whisperx[647].text 那個是財政部不過我們有承諾我們有承諾一個月之內嘛這個總統公布以後一個月之內你們跨部會都不曉得互相沒有知會說什麼時候會發放不曉得嗎主要還是在財政部主政但是一個月之內那估計可以貢獻多少台灣多少GDP嗎上次國發會有一些估計嘛好像會對經濟成長率
transcript.whisperx[648].start 16144.002
transcript.whisperx[648].end 16162.469
transcript.whisperx[648].text 增加0.4%主計總數是評估說會有0.65%那我們當然希望說這個對於我們蒲發現金之後呢這股消費力可以變成投資力產業力好不好一起加油謝謝接下來我們請邱志偉委員
transcript.whisperx[649].start 16174.264
transcript.whisperx[649].end 16184.719
transcript.whisperx[649].text 三分钟谢谢主席有请这个经济部总部长台电董事长总经理
transcript.whisperx[650].start 16188.246
transcript.whisperx[650].end 16210.262
transcript.whisperx[650].text 这个第一个问题请教台美关税谈判总统说法是20%的占行税率会调降那另外就是说没有不叠加是不叠加另外争取232的这个条款最惠国待遇这是三个可能的方向那当然是好事是他没有提到是就是说他会用什么形式来签订是白纸黑字还是口头承诺还是开一个记者会
transcript.whisperx[651].start 16210.982
transcript.whisperx[651].end 16238.583
transcript.whisperx[651].text 因为日本跟韩国就是缺乏这个白纸黑字后来就衍生后面的一些纷争我们会不会有白纸黑字这是第一个问题第二个问题是说没有提到扩大对美的投资跟采购这部分部长您掌握的状况怎么样报告委员公布的形势可能我们双方面也还要做一些讨论但是我知道的是会有一个文本
transcript.whisperx[652].start 16239.437
transcript.whisperx[652].end 16254.27
transcript.whisperx[652].text 就是白紙黑字对对对会签有两方的这个协商代表共同投印同意这样的白紙黑字对有白紙黑字好另外就是说没有提到的是这个扩大对美的投资跟采购这部分您了解状况是怎么样
transcript.whisperx[653].start 16255.27
transcript.whisperx[653].end 16281.798
transcript.whisperx[653].text 因为每日韩一个5500一个3500投资的部分我们跟日韩是不太一样对我们投资的话是厂商会过去投资条件有没有改变就是之前的跟他们讨论我们投资的方案当然不是日韩模式我们是有台湾模式对我们很清楚这个有没有改变对我们很清楚的是厂商要去美国投资的话一定要有订单然后他也可以赚钱所以要投资项目什么是比较清楚的
transcript.whisperx[654].start 16282.418
transcript.whisperx[654].end 16301.968
transcript.whisperx[654].text 所以不會像日韓有一個額度出來嗎對 日韓它比較跟我們不一樣它就是一筆錢然後要放在那邊但至於要投資什麼所以我們確定的不是日韓模式我們不一樣可能是這個產業鏈過去或者是一個複製什麼我們產業園區的這種概念我們是說確定要投資什麼項目
transcript.whisperx[655].start 16303.329
transcript.whisperx[655].end 16329.399
transcript.whisperx[655].text 才要去投資才有這個預算才有這個錢確定有別於日韓模式對他們不一樣他們是先一筐一筆錢然後再決定投資什麼第二個問題這個反對核能反核是我基本理念重返核能發電是因為產業的需求做一個政治工作者我必須要堅持我的理念之外也要考慮到產業發展的需求
transcript.whisperx[656].start 16331.392
transcript.whisperx[656].end 16353.704
transcript.whisperx[656].text 就是反核跟反核反對的反跟返回的反返回核電就是重新用核能作為發電的一個途徑但不可能就是由我當然是反對這個重啟這個舊的核電廠這40年以上當然風險很高但是新的核能技術總統也說這個可以去考慮包括SMR
transcript.whisperx[657].start 16355.038
transcript.whisperx[657].end 16374.895
transcript.whisperx[657].text SMR 很多國家都用SMR另外這個未來你這個核分裂改成用核融合這個當然需要很長的時間目前經濟部或者台電有沒有開始在進行所謂SMR的相關的這個規劃跟研究甚至更遠端更遠期的這個所謂核融合的技術那個董事長
transcript.whisperx[658].start 16376.44
transcript.whisperx[658].end 16398.036
transcript.whisperx[658].text 报告委员就是说其实我们现在大概都用SMR在讲但是事实上它很多发电形式都会改变设计的反应炉的设计方法都不同那其实台电是我们的核能部门是一直都在follow这个世界的发展的趋势那我们也会来做SMR作为未来核能发电的一个形式
transcript.whisperx[659].start 16398.88
transcript.whisperx[659].end 16428.11
transcript.whisperx[659].text 我这样说因为台电基本上是这一些设备的应用者那现在谈的都是这些设备的开发者就我们现在讲说如果SMR你现在讲New Scale这些都是这些设备的开发者那其实台湾在合工这一块就是说如果我们要做要做这一个投入他可能要做更多的一些准备那不过台电公司作为应用技术应用者其实我们在follow这些应用的发展方向是
transcript.whisperx[660].start 16428.973
transcript.whisperx[660].end 16453.96
transcript.whisperx[660].text 另外最後一個問題想提醒一下這個部長就是產業發展不均衡股市上三萬點基本上是AI跟半導體全程撐起來但是傳統產業比它的股價是比起過去20年最低的時候所以發生兩極化AI 半導體相關產業就是一路上漲但是傳統的製造業金屬 鉤金 鋼鐵 石化石等等苦不堪言我們必須針對傳統製造業你要轉型有個振興計畫
transcript.whisperx[661].start 16458.291
transcript.whisperx[661].end 16475.425
transcript.whisperx[661].text 否則一個產業有兩個世界一個世界有兩種產業完全不同的面貌你要看到比較需要幫忙的那一面是 我們一定 你要具體的提出振興方案有 所以我們為什麼要下鄉
transcript.whisperx[662].start 16477.376
transcript.whisperx[662].end 16488.984
transcript.whisperx[662].text 貼近這些產業要知道它們可能受到要有一個完整的戰略的方案怎麼樣在兩三年或者短中長期計畫短期一年 中期三年 長期五年怎麼樣針對個別產業標實化後建鋼鐵怎麼樣讓他們升級怎麼樣提升他們AI
transcript.whisperx[663].start 16496.208
transcript.whisperx[663].end 16518.317
transcript.whisperx[663].text 種種讓他們經濟能夠維持我們短期間就是保住訂單跟金流不要斷那人才跟技術的升級轉型這個就是我們加碼的地方那就是一個是短期間至少要這樣但是你長期間你如果不轉型的話不升級的話可能還是會遭受到很大的挑戰所以還是有這樣的步驟在進行中
transcript.whisperx[664].start 16519.317
transcript.whisperx[664].end 16542.722
transcript.whisperx[664].text 還有很多的問題 因為實際上的關係另外關於新達海基的轉型 部裡面要去關心因為今天中岡沒有來 溫馨也在新達海基這邊過去在海基 在我的選區虧損六十億那你現在到底轉型 轉型企劃哪裡 方向到底具體作為是哪裡並沒有提出來的 都很抽象你不能荒廢 閒置在那邊 你那個租金一個月一百萬
transcript.whisperx[665].start 16544.56
transcript.whisperx[665].end 16558.454
transcript.whisperx[665].text 所以这部分尽快提出转移或者你要直接退场好那委员我们过一段时间就把这个书面资料提供给您要多久要多久这我已经讲了快半年了下个月下个月尽快了因为不能再拖了好谢谢
transcript.whisperx[666].start 16566.793
transcript.whisperx[666].end 16591.5
transcript.whisperx[666].text 登记发言委员除不在场者外其余均已发言完毕 询答结束委员牛喜婷还有刘建国所提书面咨询内录记录刊登公报书面咨询和未及答复不问请相关单位于一周内以书面答复并复制本会本日所列议程处理完均谢谢大家 现在散会