iVOD / 17431

Field Value
IVOD_ID 17431
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/17431
日期 2026-05-11
會議資料.會議代碼 公聽會-2026050515
會議資料.會議代碼:str 舉行「空氣污染防制法」公聽會
會議資料.屆 11
會議資料.會期 5
會議資料.種類 公聽會
會議資料.委員會代碼[0] 26
會議資料.委員會代碼:str[0] 社會福利及衛生環境委員會
會議資料.標題 立法院第11屆第5會期社會福利及衛生環境委員會公聽會(事由:舉行「空氣污染防制法」公聽會)
影片種類 Full
開始時間 2026-05-11T14:23:31+08:00
結束時間 2026-05-11T17:29:00+08:00
影片長度 03:05:29
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/bfaf9b39ac01a685979b49e85773c2c6f10737f9cc947168b7b695d4fecf9ee963a128c4f8a0c2685ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2026-05-11T14:30:00+08:00
會議名稱 立法院第11屆第5會期社會福利及衛生環境委員會公聽會(事由:舉行「空氣污染防制法」公聽會)
委員名稱 完整會議
委員發言時間 14:23:31 - 17:29:00
transcript.pyannote[0].speaker SPEAKER_25
transcript.pyannote[0].start 652.82346875
transcript.pyannote[0].end 662.57721875
transcript.pyannote[1].speaker SPEAKER_25
transcript.pyannote[1].start 663.57284375
transcript.pyannote[1].end 667.53846875
transcript.pyannote[2].speaker SPEAKER_25
transcript.pyannote[2].start 668.85471875
transcript.pyannote[2].end 670.79534375
transcript.pyannote[3].speaker SPEAKER_25
transcript.pyannote[3].start 674.17034375
transcript.pyannote[3].end 674.67659375
transcript.pyannote[4].speaker SPEAKER_05
transcript.pyannote[4].start 674.67659375
transcript.pyannote[4].end 677.93346875
transcript.pyannote[5].speaker SPEAKER_25
transcript.pyannote[5].start 677.93346875
transcript.pyannote[5].end 678.59159375
transcript.pyannote[6].speaker SPEAKER_05
transcript.pyannote[6].start 677.95034375
transcript.pyannote[6].end 678.47346875
transcript.pyannote[7].speaker SPEAKER_05
transcript.pyannote[7].start 678.59159375
transcript.pyannote[7].end 678.72659375
transcript.pyannote[8].speaker SPEAKER_25
transcript.pyannote[8].start 678.72659375
transcript.pyannote[8].end 688.90221875
transcript.pyannote[9].speaker SPEAKER_25
transcript.pyannote[9].start 693.45846875
transcript.pyannote[9].end 704.68034375
transcript.pyannote[10].speaker SPEAKER_25
transcript.pyannote[10].start 705.00096875
transcript.pyannote[10].end 709.65846875
transcript.pyannote[11].speaker SPEAKER_25
transcript.pyannote[11].start 709.91159375
transcript.pyannote[11].end 711.98721875
transcript.pyannote[12].speaker SPEAKER_25
transcript.pyannote[12].start 712.61159375
transcript.pyannote[12].end 712.96596875
transcript.pyannote[13].speaker SPEAKER_25
transcript.pyannote[13].start 713.33721875
transcript.pyannote[13].end 722.17971875
transcript.pyannote[14].speaker SPEAKER_25
transcript.pyannote[14].start 722.63534375
transcript.pyannote[14].end 729.52034375
transcript.pyannote[15].speaker SPEAKER_25
transcript.pyannote[15].start 730.38096875
transcript.pyannote[15].end 738.90284375
transcript.pyannote[16].speaker SPEAKER_25
transcript.pyannote[16].start 739.27409375
transcript.pyannote[16].end 760.31721875
transcript.pyannote[17].speaker SPEAKER_25
transcript.pyannote[17].start 760.38471875
transcript.pyannote[17].end 763.35471875
transcript.pyannote[18].speaker SPEAKER_25
transcript.pyannote[18].start 766.84784375
transcript.pyannote[18].end 768.41721875
transcript.pyannote[19].speaker SPEAKER_25
transcript.pyannote[19].start 768.87284375
transcript.pyannote[19].end 769.83471875
transcript.pyannote[20].speaker SPEAKER_25
transcript.pyannote[20].start 769.96971875
transcript.pyannote[20].end 771.50534375
transcript.pyannote[21].speaker SPEAKER_25
transcript.pyannote[21].start 775.55534375
transcript.pyannote[21].end 776.82096875
transcript.pyannote[22].speaker SPEAKER_25
transcript.pyannote[22].start 780.56721875
transcript.pyannote[22].end 783.55409375
transcript.pyannote[23].speaker SPEAKER_17
transcript.pyannote[23].start 783.87471875
transcript.pyannote[23].end 784.02659375
transcript.pyannote[24].speaker SPEAKER_25
transcript.pyannote[24].start 785.35971875
transcript.pyannote[24].end 788.83596875
transcript.pyannote[25].speaker SPEAKER_25
transcript.pyannote[25].start 789.93284375
transcript.pyannote[25].end 790.35471875
transcript.pyannote[26].speaker SPEAKER_25
transcript.pyannote[26].start 791.62034375
transcript.pyannote[26].end 794.26971875
transcript.pyannote[27].speaker SPEAKER_17
transcript.pyannote[27].start 795.23159375
transcript.pyannote[27].end 795.51846875
transcript.pyannote[28].speaker SPEAKER_25
transcript.pyannote[28].start 797.35784375
transcript.pyannote[28].end 800.39534375
transcript.pyannote[29].speaker SPEAKER_25
transcript.pyannote[29].start 804.44534375
transcript.pyannote[29].end 805.52534375
transcript.pyannote[30].speaker SPEAKER_25
transcript.pyannote[30].start 805.72784375
transcript.pyannote[30].end 807.31409375
transcript.pyannote[31].speaker SPEAKER_25
transcript.pyannote[31].start 810.67221875
transcript.pyannote[31].end 811.53284375
transcript.pyannote[32].speaker SPEAKER_25
transcript.pyannote[32].start 812.03909375
transcript.pyannote[32].end 816.57846875
transcript.pyannote[33].speaker SPEAKER_25
transcript.pyannote[33].start 820.52721875
transcript.pyannote[33].end 823.49721875
transcript.pyannote[34].speaker SPEAKER_25
transcript.pyannote[34].start 826.11284375
transcript.pyannote[34].end 829.94346875
transcript.pyannote[35].speaker SPEAKER_25
transcript.pyannote[35].start 832.60971875
transcript.pyannote[35].end 834.80346875
transcript.pyannote[36].speaker SPEAKER_25
transcript.pyannote[36].start 835.03971875
transcript.pyannote[36].end 837.35159375
transcript.pyannote[37].speaker SPEAKER_25
transcript.pyannote[37].start 841.89096875
transcript.pyannote[37].end 845.41784375
transcript.pyannote[38].speaker SPEAKER_25
transcript.pyannote[38].start 848.18534375
transcript.pyannote[38].end 852.31971875
transcript.pyannote[39].speaker SPEAKER_25
transcript.pyannote[39].start 855.30659375
transcript.pyannote[39].end 858.51284375
transcript.pyannote[40].speaker SPEAKER_25
transcript.pyannote[40].start 867.23721875
transcript.pyannote[40].end 870.57846875
transcript.pyannote[41].speaker SPEAKER_25
transcript.pyannote[41].start 870.83159375
transcript.pyannote[41].end 872.89034375
transcript.pyannote[42].speaker SPEAKER_25
transcript.pyannote[42].start 873.09284375
transcript.pyannote[42].end 874.07159375
transcript.pyannote[43].speaker SPEAKER_25
transcript.pyannote[43].start 876.68721875
transcript.pyannote[43].end 879.37034375
transcript.pyannote[44].speaker SPEAKER_25
transcript.pyannote[44].start 881.24346875
transcript.pyannote[44].end 883.13346875
transcript.pyannote[45].speaker SPEAKER_25
transcript.pyannote[45].start 885.04034375
transcript.pyannote[45].end 887.80784375
transcript.pyannote[46].speaker SPEAKER_25
transcript.pyannote[46].start 889.73159375
transcript.pyannote[46].end 891.48659375
transcript.pyannote[47].speaker SPEAKER_25
transcript.pyannote[47].start 891.92534375
transcript.pyannote[47].end 893.03909375
transcript.pyannote[48].speaker SPEAKER_25
transcript.pyannote[48].start 895.48596875
transcript.pyannote[48].end 898.10159375
transcript.pyannote[49].speaker SPEAKER_25
transcript.pyannote[49].start 900.58221875
transcript.pyannote[49].end 902.65784375
transcript.pyannote[50].speaker SPEAKER_25
transcript.pyannote[50].start 904.44659375
transcript.pyannote[50].end 907.19721875
transcript.pyannote[51].speaker SPEAKER_25
transcript.pyannote[51].start 909.42471875
transcript.pyannote[51].end 911.87159375
transcript.pyannote[52].speaker SPEAKER_25
transcript.pyannote[52].start 914.63909375
transcript.pyannote[52].end 915.39846875
transcript.pyannote[53].speaker SPEAKER_25
transcript.pyannote[53].start 915.61784375
transcript.pyannote[53].end 918.30096875
transcript.pyannote[54].speaker SPEAKER_25
transcript.pyannote[54].start 920.59596875
transcript.pyannote[54].end 922.58721875
transcript.pyannote[55].speaker SPEAKER_25
transcript.pyannote[55].start 924.88221875
transcript.pyannote[55].end 927.81846875
transcript.pyannote[56].speaker SPEAKER_25
transcript.pyannote[56].start 929.94471875
transcript.pyannote[56].end 931.91909375
transcript.pyannote[57].speaker SPEAKER_25
transcript.pyannote[57].start 932.29034375
transcript.pyannote[57].end 932.88096875
transcript.pyannote[58].speaker SPEAKER_25
transcript.pyannote[58].start 933.42096875
transcript.pyannote[58].end 934.43346875
transcript.pyannote[59].speaker SPEAKER_25
transcript.pyannote[59].start 937.33596875
transcript.pyannote[59].end 940.86284375
transcript.pyannote[60].speaker SPEAKER_25
transcript.pyannote[60].start 942.83721875
transcript.pyannote[60].end 945.58784375
transcript.pyannote[61].speaker SPEAKER_25
transcript.pyannote[61].start 948.92909375
transcript.pyannote[61].end 952.42221875
transcript.pyannote[62].speaker SPEAKER_25
transcript.pyannote[62].start 954.16034375
transcript.pyannote[62].end 954.56534375
transcript.pyannote[63].speaker SPEAKER_25
transcript.pyannote[63].start 958.19346875
transcript.pyannote[63].end 959.64471875
transcript.pyannote[64].speaker SPEAKER_25
transcript.pyannote[64].start 960.13409375
transcript.pyannote[64].end 960.38721875
transcript.pyannote[65].speaker SPEAKER_25
transcript.pyannote[65].start 961.11284375
transcript.pyannote[65].end 961.41659375
transcript.pyannote[66].speaker SPEAKER_25
transcript.pyannote[66].start 961.60221875
transcript.pyannote[66].end 962.83409375
transcript.pyannote[67].speaker SPEAKER_09
transcript.pyannote[67].start 971.82846875
transcript.pyannote[67].end 973.21221875
transcript.pyannote[68].speaker SPEAKER_09
transcript.pyannote[68].start 973.26284375
transcript.pyannote[68].end 974.42721875
transcript.pyannote[69].speaker SPEAKER_09
transcript.pyannote[69].start 974.57909375
transcript.pyannote[69].end 975.86159375
transcript.pyannote[70].speaker SPEAKER_09
transcript.pyannote[70].start 975.96284375
transcript.pyannote[70].end 976.04721875
transcript.pyannote[71].speaker SPEAKER_09
transcript.pyannote[71].start 976.31721875
transcript.pyannote[71].end 987.72471875
transcript.pyannote[72].speaker SPEAKER_09
transcript.pyannote[72].start 988.06221875
transcript.pyannote[72].end 990.27284375
transcript.pyannote[73].speaker SPEAKER_09
transcript.pyannote[73].start 990.86346875
transcript.pyannote[73].end 999.16596875
transcript.pyannote[74].speaker SPEAKER_09
transcript.pyannote[74].start 999.87471875
transcript.pyannote[74].end 1002.23721875
transcript.pyannote[75].speaker SPEAKER_09
transcript.pyannote[75].start 1002.50721875
transcript.pyannote[75].end 1004.14409375
transcript.pyannote[76].speaker SPEAKER_09
transcript.pyannote[76].start 1004.31284375
transcript.pyannote[76].end 1005.25784375
transcript.pyannote[77].speaker SPEAKER_09
transcript.pyannote[77].start 1005.81471875
transcript.pyannote[77].end 1007.90721875
transcript.pyannote[78].speaker SPEAKER_09
transcript.pyannote[78].start 1008.37971875
transcript.pyannote[78].end 1009.84784375
transcript.pyannote[79].speaker SPEAKER_09
transcript.pyannote[79].start 1010.21909375
transcript.pyannote[79].end 1020.71534375
transcript.pyannote[80].speaker SPEAKER_09
transcript.pyannote[80].start 1021.42409375
transcript.pyannote[80].end 1045.25159375
transcript.pyannote[81].speaker SPEAKER_09
transcript.pyannote[81].start 1045.82534375
transcript.pyannote[81].end 1119.26534375
transcript.pyannote[82].speaker SPEAKER_09
transcript.pyannote[82].start 1119.73784375
transcript.pyannote[82].end 1130.33534375
transcript.pyannote[83].speaker SPEAKER_09
transcript.pyannote[83].start 1130.38596875
transcript.pyannote[83].end 1177.48409375
transcript.pyannote[84].speaker SPEAKER_09
transcript.pyannote[84].start 1177.85534375
transcript.pyannote[84].end 1186.20846875
transcript.pyannote[85].speaker SPEAKER_09
transcript.pyannote[85].start 1186.68096875
transcript.pyannote[85].end 1245.86159375
transcript.pyannote[86].speaker SPEAKER_09
transcript.pyannote[86].start 1246.19909375
transcript.pyannote[86].end 1285.58534375
transcript.pyannote[87].speaker SPEAKER_25
transcript.pyannote[87].start 1287.79596875
transcript.pyannote[87].end 1288.57221875
transcript.pyannote[88].speaker SPEAKER_25
transcript.pyannote[88].start 1289.70284375
transcript.pyannote[88].end 1291.27221875
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 1301.65034375
transcript.pyannote[89].end 1305.09284375
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 1305.54846875
transcript.pyannote[90].end 1313.09159375
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 1313.22659375
transcript.pyannote[91].end 1320.31409375
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 1320.97221875
transcript.pyannote[92].end 1324.58346875
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 1324.90409375
transcript.pyannote[93].end 1328.22846875
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 1328.71784375
transcript.pyannote[94].end 1330.94534375
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 1331.01284375
transcript.pyannote[95].end 1334.84346875
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 1335.18096875
transcript.pyannote[96].end 1336.49721875
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 1337.22284375
transcript.pyannote[97].end 1338.55596875
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 1338.99471875
transcript.pyannote[98].end 1342.48784375
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 1342.53846875
transcript.pyannote[99].end 1343.04471875
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 1343.75346875
transcript.pyannote[100].end 1356.44346875
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 1356.98346875
transcript.pyannote[101].end 1357.82721875
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 1358.18159375
transcript.pyannote[102].end 1375.44471875
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 1375.64721875
transcript.pyannote[103].end 1379.41034375
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 1379.62971875
transcript.pyannote[104].end 1382.11034375
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 1382.93721875
transcript.pyannote[105].end 1383.46034375
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 1383.94971875
transcript.pyannote[106].end 1388.59034375
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 1388.97846875
transcript.pyannote[107].end 1392.45471875
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 1392.94409375
transcript.pyannote[108].end 1396.89284375
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 1397.04471875
transcript.pyannote[109].end 1401.28034375
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 1401.82034375
transcript.pyannote[110].end 1404.90846875
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 1405.22909375
transcript.pyannote[111].end 1407.70971875
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 1408.09784375
transcript.pyannote[112].end 1408.51971875
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 1408.70534375
transcript.pyannote[113].end 1413.29534375
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 1413.73409375
transcript.pyannote[114].end 1423.15034375
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 1423.50471875
transcript.pyannote[115].end 1431.48659375
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 1431.90846875
transcript.pyannote[116].end 1432.95471875
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 1433.42721875
transcript.pyannote[117].end 1437.37596875
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 1437.67971875
transcript.pyannote[118].end 1439.90721875
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 1440.58221875
transcript.pyannote[119].end 1443.92346875
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 1444.14284375
transcript.pyannote[120].end 1446.92721875
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 1447.46721875
transcript.pyannote[121].end 1453.82909375
transcript.pyannote[122].speaker SPEAKER_03
transcript.pyannote[122].start 1453.94721875
transcript.pyannote[122].end 1454.62221875
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 1454.80784375
transcript.pyannote[123].end 1456.37721875
transcript.pyannote[124].speaker SPEAKER_03
transcript.pyannote[124].start 1456.84971875
transcript.pyannote[124].end 1461.52409375
transcript.pyannote[125].speaker SPEAKER_03
transcript.pyannote[125].start 1461.74346875
transcript.pyannote[125].end 1462.73909375
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 1463.90346875
transcript.pyannote[126].end 1470.61971875
transcript.pyannote[127].speaker SPEAKER_03
transcript.pyannote[127].start 1471.04159375
transcript.pyannote[127].end 1477.96034375
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 1478.61846875
transcript.pyannote[128].end 1479.04034375
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 1479.27659375
transcript.pyannote[129].end 1481.63909375
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 1482.02721875
transcript.pyannote[130].end 1490.48159375
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 1490.80221875
transcript.pyannote[131].end 1491.24096875
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 1491.62909375
transcript.pyannote[132].end 1495.44284375
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 1495.47659375
transcript.pyannote[133].end 1497.80534375
transcript.pyannote[134].speaker SPEAKER_03
transcript.pyannote[134].start 1498.41284375
transcript.pyannote[134].end 1499.77971875
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 1500.16784375
transcript.pyannote[135].end 1504.18409375
transcript.pyannote[136].speaker SPEAKER_03
transcript.pyannote[136].start 1504.60596875
transcript.pyannote[136].end 1506.56346875
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 1507.17096875
transcript.pyannote[137].end 1509.68534375
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 1510.17471875
transcript.pyannote[138].end 1521.05909375
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 1521.32909375
transcript.pyannote[139].end 1523.13471875
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 1523.57346875
transcript.pyannote[140].end 1524.09659375
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 1524.80534375
transcript.pyannote[141].end 1526.44221875
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 1526.54346875
transcript.pyannote[142].end 1527.50534375
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 1527.79221875
transcript.pyannote[143].end 1529.74971875
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 1529.90159375
transcript.pyannote[144].end 1533.36096875
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 1534.35659375
transcript.pyannote[145].end 1538.86221875
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 1539.75659375
transcript.pyannote[146].end 1541.46096875
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 1541.98409375
transcript.pyannote[147].end 1547.99159375
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 1548.16034375
transcript.pyannote[148].end 1552.14284375
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 1552.96971875
transcript.pyannote[149].end 1562.55471875
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 1564.20846875
transcript.pyannote[150].end 1565.08596875
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 1565.15346875
transcript.pyannote[151].end 1565.69346875
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 1565.86221875
transcript.pyannote[152].end 1574.40096875
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 1574.48534375
transcript.pyannote[153].end 1576.84784375
transcript.pyannote[154].speaker SPEAKER_03
transcript.pyannote[154].start 1577.43846875
transcript.pyannote[154].end 1580.59409375
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 1580.81346875
transcript.pyannote[155].end 1584.01971875
transcript.pyannote[156].speaker SPEAKER_03
transcript.pyannote[156].start 1584.44159375
transcript.pyannote[156].end 1593.95909375
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 1594.61721875
transcript.pyannote[157].end 1596.60846875
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 1596.89534375
transcript.pyannote[158].end 1598.63346875
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 1599.34221875
transcript.pyannote[159].end 1600.75971875
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 1601.19846875
transcript.pyannote[160].end 1607.42534375
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 1607.89784375
transcript.pyannote[161].end 1616.04846875
transcript.pyannote[162].speaker SPEAKER_03
transcript.pyannote[162].start 1616.70659375
transcript.pyannote[162].end 1617.66846875
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 1619.00159375
transcript.pyannote[163].end 1619.28846875
transcript.pyannote[164].speaker SPEAKER_03
transcript.pyannote[164].start 1619.81159375
transcript.pyannote[164].end 1622.15721875
transcript.pyannote[165].speaker SPEAKER_03
transcript.pyannote[165].start 1622.88284375
transcript.pyannote[165].end 1633.86846875
transcript.pyannote[166].speaker SPEAKER_03
transcript.pyannote[166].start 1635.62346875
transcript.pyannote[166].end 1636.11284375
transcript.pyannote[167].speaker SPEAKER_03
transcript.pyannote[167].start 1636.68659375
transcript.pyannote[167].end 1646.71034375
transcript.pyannote[168].speaker SPEAKER_03
transcript.pyannote[168].start 1646.89596875
transcript.pyannote[168].end 1651.80659375
transcript.pyannote[169].speaker SPEAKER_03
transcript.pyannote[169].start 1652.38034375
transcript.pyannote[169].end 1655.24909375
transcript.pyannote[170].speaker SPEAKER_03
transcript.pyannote[170].start 1655.58659375
transcript.pyannote[170].end 1656.17721875
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 1656.19409375
transcript.pyannote[171].end 1657.37534375
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 1657.51034375
transcript.pyannote[172].end 1660.83471875
transcript.pyannote[173].speaker SPEAKER_03
transcript.pyannote[173].start 1661.89784375
transcript.pyannote[173].end 1663.14659375
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 1663.43346875
transcript.pyannote[174].end 1666.57221875
transcript.pyannote[175].speaker SPEAKER_03
transcript.pyannote[175].start 1666.82534375
transcript.pyannote[175].end 1668.17534375
transcript.pyannote[176].speaker SPEAKER_03
transcript.pyannote[176].start 1668.24284375
transcript.pyannote[176].end 1671.21284375
transcript.pyannote[177].speaker SPEAKER_03
transcript.pyannote[177].start 1671.56721875
transcript.pyannote[177].end 1673.84534375
transcript.pyannote[178].speaker SPEAKER_03
transcript.pyannote[178].start 1674.43596875
transcript.pyannote[178].end 1681.75971875
transcript.pyannote[179].speaker SPEAKER_03
transcript.pyannote[179].start 1682.31659375
transcript.pyannote[179].end 1685.94471875
transcript.pyannote[180].speaker SPEAKER_03
transcript.pyannote[180].start 1686.19784375
transcript.pyannote[180].end 1692.44159375
transcript.pyannote[181].speaker SPEAKER_03
transcript.pyannote[181].start 1693.15034375
transcript.pyannote[181].end 1698.39846875
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 1698.98909375
transcript.pyannote[182].end 1705.06409375
transcript.pyannote[183].speaker SPEAKER_03
transcript.pyannote[183].start 1705.21596875
transcript.pyannote[183].end 1708.48971875
transcript.pyannote[184].speaker SPEAKER_03
transcript.pyannote[184].start 1708.81034375
transcript.pyannote[184].end 1709.68784375
transcript.pyannote[185].speaker SPEAKER_03
transcript.pyannote[185].start 1710.22784375
transcript.pyannote[185].end 1711.03784375
transcript.pyannote[186].speaker SPEAKER_03
transcript.pyannote[186].start 1711.35846875
transcript.pyannote[186].end 1711.86471875
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 1714.31159375
transcript.pyannote[187].end 1716.64034375
transcript.pyannote[188].speaker SPEAKER_03
transcript.pyannote[188].start 1716.85971875
transcript.pyannote[188].end 1723.49159375
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 1723.77846875
transcript.pyannote[189].end 1726.10721875
transcript.pyannote[190].speaker SPEAKER_03
transcript.pyannote[190].start 1726.41096875
transcript.pyannote[190].end 1729.53284375
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 1730.37659375
transcript.pyannote[191].end 1731.82784375
transcript.pyannote[192].speaker SPEAKER_03
transcript.pyannote[192].start 1732.35096875
transcript.pyannote[192].end 1733.21159375
transcript.pyannote[193].speaker SPEAKER_03
transcript.pyannote[193].start 1734.08909375
transcript.pyannote[193].end 1734.56159375
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 1735.15221875
transcript.pyannote[194].end 1736.29971875
transcript.pyannote[195].speaker SPEAKER_03
transcript.pyannote[195].start 1736.50221875
transcript.pyannote[195].end 1737.95346875
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 1738.51034375
transcript.pyannote[196].end 1739.37096875
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 1739.72534375
transcript.pyannote[197].end 1740.70409375
transcript.pyannote[198].speaker SPEAKER_03
transcript.pyannote[198].start 1740.88971875
transcript.pyannote[198].end 1751.70659375
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 1752.19596875
transcript.pyannote[199].end 1755.11534375
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 1755.45284375
transcript.pyannote[200].end 1756.43159375
transcript.pyannote[201].speaker SPEAKER_03
transcript.pyannote[201].start 1756.65096875
transcript.pyannote[201].end 1759.70534375
transcript.pyannote[202].speaker SPEAKER_03
transcript.pyannote[202].start 1759.85721875
transcript.pyannote[202].end 1762.18596875
transcript.pyannote[203].speaker SPEAKER_03
transcript.pyannote[203].start 1762.45596875
transcript.pyannote[203].end 1763.67096875
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 1764.09284375
transcript.pyannote[204].end 1766.50596875
transcript.pyannote[205].speaker SPEAKER_03
transcript.pyannote[205].start 1766.91096875
transcript.pyannote[205].end 1768.04159375
transcript.pyannote[206].speaker SPEAKER_03
transcript.pyannote[206].start 1768.53096875
transcript.pyannote[206].end 1773.61034375
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 1773.77909375
transcript.pyannote[207].end 1780.12409375
transcript.pyannote[208].speaker SPEAKER_03
transcript.pyannote[208].start 1780.91721875
transcript.pyannote[208].end 1786.99221875
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 1787.19471875
transcript.pyannote[209].end 1789.72596875
transcript.pyannote[210].speaker SPEAKER_03
transcript.pyannote[210].start 1790.38409375
transcript.pyannote[210].end 1793.65784375
transcript.pyannote[211].speaker SPEAKER_03
transcript.pyannote[211].start 1793.91096875
transcript.pyannote[211].end 1795.96971875
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 1796.44221875
transcript.pyannote[212].end 1796.83034375
transcript.pyannote[213].speaker SPEAKER_03
transcript.pyannote[213].start 1797.11721875
transcript.pyannote[213].end 1799.64846875
transcript.pyannote[214].speaker SPEAKER_03
transcript.pyannote[214].start 1799.86784375
transcript.pyannote[214].end 1803.36096875
transcript.pyannote[215].speaker SPEAKER_03
transcript.pyannote[215].start 1803.76596875
transcript.pyannote[215].end 1804.89659375
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 1805.30159375
transcript.pyannote[216].end 1806.71909375
transcript.pyannote[217].speaker SPEAKER_03
transcript.pyannote[217].start 1806.87096875
transcript.pyannote[217].end 1808.13659375
transcript.pyannote[218].speaker SPEAKER_03
transcript.pyannote[218].start 1808.18721875
transcript.pyannote[218].end 1820.43846875
transcript.pyannote[219].speaker SPEAKER_03
transcript.pyannote[219].start 1820.57346875
transcript.pyannote[219].end 1822.00784375
transcript.pyannote[220].speaker SPEAKER_03
transcript.pyannote[220].start 1822.05846875
transcript.pyannote[220].end 1826.95221875
transcript.pyannote[221].speaker SPEAKER_03
transcript.pyannote[221].start 1827.77909375
transcript.pyannote[221].end 1834.42784375
transcript.pyannote[222].speaker SPEAKER_03
transcript.pyannote[222].start 1834.51221875
transcript.pyannote[222].end 1835.92971875
transcript.pyannote[223].speaker SPEAKER_03
transcript.pyannote[223].start 1836.04784375
transcript.pyannote[223].end 1836.77346875
transcript.pyannote[224].speaker SPEAKER_03
transcript.pyannote[224].start 1837.39784375
transcript.pyannote[224].end 1838.76471875
transcript.pyannote[225].speaker SPEAKER_03
transcript.pyannote[225].start 1839.35534375
transcript.pyannote[225].end 1841.49846875
transcript.pyannote[226].speaker SPEAKER_03
transcript.pyannote[226].start 1843.05096875
transcript.pyannote[226].end 1843.84409375
transcript.pyannote[227].speaker SPEAKER_03
transcript.pyannote[227].start 1844.06346875
transcript.pyannote[227].end 1849.39596875
transcript.pyannote[228].speaker SPEAKER_03
transcript.pyannote[228].start 1850.02034375
transcript.pyannote[228].end 1850.83034375
transcript.pyannote[229].speaker SPEAKER_03
transcript.pyannote[229].start 1851.33659375
transcript.pyannote[229].end 1853.68221875
transcript.pyannote[230].speaker SPEAKER_03
transcript.pyannote[230].start 1854.20534375
transcript.pyannote[230].end 1861.02284375
transcript.pyannote[231].speaker SPEAKER_03
transcript.pyannote[231].start 1861.51221875
transcript.pyannote[231].end 1863.01409375
transcript.pyannote[232].speaker SPEAKER_03
transcript.pyannote[232].start 1863.52034375
transcript.pyannote[232].end 1868.56596875
transcript.pyannote[233].speaker SPEAKER_03
transcript.pyannote[233].start 1868.68409375
transcript.pyannote[233].end 1871.31659375
transcript.pyannote[234].speaker SPEAKER_03
transcript.pyannote[234].start 1871.45159375
transcript.pyannote[234].end 1873.52721875
transcript.pyannote[235].speaker SPEAKER_03
transcript.pyannote[235].start 1873.94909375
transcript.pyannote[235].end 1879.31534375
transcript.pyannote[236].speaker SPEAKER_03
transcript.pyannote[236].start 1879.36596875
transcript.pyannote[236].end 1883.82096875
transcript.pyannote[237].speaker SPEAKER_03
transcript.pyannote[237].start 1884.19221875
transcript.pyannote[237].end 1892.24159375
transcript.pyannote[238].speaker SPEAKER_03
transcript.pyannote[238].start 1893.57471875
transcript.pyannote[238].end 1901.03346875
transcript.pyannote[239].speaker SPEAKER_03
transcript.pyannote[239].start 1901.23596875
transcript.pyannote[239].end 1902.95721875
transcript.pyannote[240].speaker SPEAKER_03
transcript.pyannote[240].start 1903.49721875
transcript.pyannote[240].end 1905.20159375
transcript.pyannote[241].speaker SPEAKER_03
transcript.pyannote[241].start 1905.42096875
transcript.pyannote[241].end 1910.60159375
transcript.pyannote[242].speaker SPEAKER_25
transcript.pyannote[242].start 1911.52971875
transcript.pyannote[242].end 1912.22159375
transcript.pyannote[243].speaker SPEAKER_25
transcript.pyannote[243].start 1914.66846875
transcript.pyannote[243].end 1915.54596875
transcript.pyannote[244].speaker SPEAKER_25
transcript.pyannote[244].start 1916.44034375
transcript.pyannote[244].end 1920.52409375
transcript.pyannote[245].speaker SPEAKER_25
transcript.pyannote[245].start 1923.57846875
transcript.pyannote[245].end 1925.04659375
transcript.pyannote[246].speaker SPEAKER_25
transcript.pyannote[246].start 1925.40096875
transcript.pyannote[246].end 1928.11784375
transcript.pyannote[247].speaker SPEAKER_25
transcript.pyannote[247].start 1930.81784375
transcript.pyannote[247].end 1934.26034375
transcript.pyannote[248].speaker SPEAKER_25
transcript.pyannote[248].start 1940.25096875
transcript.pyannote[248].end 1941.01034375
transcript.pyannote[249].speaker SPEAKER_25
transcript.pyannote[249].start 1941.60096875
transcript.pyannote[249].end 1949.41409375
transcript.pyannote[250].speaker SPEAKER_25
transcript.pyannote[250].start 1949.70096875
transcript.pyannote[250].end 1955.79284375
transcript.pyannote[251].speaker SPEAKER_25
transcript.pyannote[251].start 1956.23159375
transcript.pyannote[251].end 1960.87221875
transcript.pyannote[252].speaker SPEAKER_25
transcript.pyannote[252].start 1961.46284375
transcript.pyannote[252].end 1965.86721875
transcript.pyannote[253].speaker SPEAKER_25
transcript.pyannote[253].start 1966.35659375
transcript.pyannote[253].end 1968.66846875
transcript.pyannote[254].speaker SPEAKER_25
transcript.pyannote[254].start 1969.05659375
transcript.pyannote[254].end 1974.65909375
transcript.pyannote[255].speaker SPEAKER_25
transcript.pyannote[255].start 1975.13159375
transcript.pyannote[255].end 1979.43471875
transcript.pyannote[256].speaker SPEAKER_25
transcript.pyannote[256].start 1979.95784375
transcript.pyannote[256].end 1983.58596875
transcript.pyannote[257].speaker SPEAKER_25
transcript.pyannote[257].start 1983.95721875
transcript.pyannote[257].end 1988.20971875
transcript.pyannote[258].speaker SPEAKER_06
transcript.pyannote[258].start 2000.61284375
transcript.pyannote[258].end 2013.72471875
transcript.pyannote[259].speaker SPEAKER_06
transcript.pyannote[259].start 2013.82596875
transcript.pyannote[259].end 2018.51721875
transcript.pyannote[260].speaker SPEAKER_06
transcript.pyannote[260].start 2019.17534375
transcript.pyannote[260].end 2019.76596875
transcript.pyannote[261].speaker SPEAKER_06
transcript.pyannote[261].start 2020.60971875
transcript.pyannote[261].end 2020.86284375
transcript.pyannote[262].speaker SPEAKER_06
transcript.pyannote[262].start 2021.82471875
transcript.pyannote[262].end 2022.24659375
transcript.pyannote[263].speaker SPEAKER_06
transcript.pyannote[263].start 2022.26346875
transcript.pyannote[263].end 2024.57534375
transcript.pyannote[264].speaker SPEAKER_06
transcript.pyannote[264].start 2025.28409375
transcript.pyannote[264].end 2026.12784375
transcript.pyannote[265].speaker SPEAKER_06
transcript.pyannote[265].start 2027.20784375
transcript.pyannote[265].end 2027.42721875
transcript.pyannote[266].speaker SPEAKER_06
transcript.pyannote[266].start 2028.05159375
transcript.pyannote[266].end 2029.40159375
transcript.pyannote[267].speaker SPEAKER_06
transcript.pyannote[267].start 2030.26221875
transcript.pyannote[267].end 2030.66721875
transcript.pyannote[268].speaker SPEAKER_06
transcript.pyannote[268].start 2030.97096875
transcript.pyannote[268].end 2040.08346875
transcript.pyannote[269].speaker SPEAKER_06
transcript.pyannote[269].start 2040.37034375
transcript.pyannote[269].end 2047.37346875
transcript.pyannote[270].speaker SPEAKER_06
transcript.pyannote[270].start 2047.67721875
transcript.pyannote[270].end 2050.90034375
transcript.pyannote[271].speaker SPEAKER_06
transcript.pyannote[271].start 2051.33909375
transcript.pyannote[271].end 2054.52846875
transcript.pyannote[272].speaker SPEAKER_06
transcript.pyannote[272].start 2054.78159375
transcript.pyannote[272].end 2056.41846875
transcript.pyannote[273].speaker SPEAKER_06
transcript.pyannote[273].start 2056.57034375
transcript.pyannote[273].end 2059.28721875
transcript.pyannote[274].speaker SPEAKER_06
transcript.pyannote[274].start 2060.06346875
transcript.pyannote[274].end 2063.64096875
transcript.pyannote[275].speaker SPEAKER_06
transcript.pyannote[275].start 2064.28221875
transcript.pyannote[275].end 2081.29221875
transcript.pyannote[276].speaker SPEAKER_06
transcript.pyannote[276].start 2081.84909375
transcript.pyannote[276].end 2090.62409375
transcript.pyannote[277].speaker SPEAKER_06
transcript.pyannote[277].start 2091.01221875
transcript.pyannote[277].end 2092.17659375
transcript.pyannote[278].speaker SPEAKER_06
transcript.pyannote[278].start 2092.61534375
transcript.pyannote[278].end 2097.59346875
transcript.pyannote[279].speaker SPEAKER_06
transcript.pyannote[279].start 2097.96471875
transcript.pyannote[279].end 2099.50034375
transcript.pyannote[280].speaker SPEAKER_06
transcript.pyannote[280].start 2099.88846875
transcript.pyannote[280].end 2103.34784375
transcript.pyannote[281].speaker SPEAKER_06
transcript.pyannote[281].start 2103.71909375
transcript.pyannote[281].end 2109.92909375
transcript.pyannote[282].speaker SPEAKER_06
transcript.pyannote[282].start 2110.51971875
transcript.pyannote[282].end 2115.68346875
transcript.pyannote[283].speaker SPEAKER_06
transcript.pyannote[283].start 2116.15596875
transcript.pyannote[283].end 2121.45471875
transcript.pyannote[284].speaker SPEAKER_06
transcript.pyannote[284].start 2121.77534375
transcript.pyannote[284].end 2123.27721875
transcript.pyannote[285].speaker SPEAKER_06
transcript.pyannote[285].start 2123.61471875
transcript.pyannote[285].end 2124.72846875
transcript.pyannote[286].speaker SPEAKER_06
transcript.pyannote[286].start 2125.58909375
transcript.pyannote[286].end 2127.14159375
transcript.pyannote[287].speaker SPEAKER_06
transcript.pyannote[287].start 2127.46221875
transcript.pyannote[287].end 2129.11596875
transcript.pyannote[288].speaker SPEAKER_06
transcript.pyannote[288].start 2129.38596875
transcript.pyannote[288].end 2135.17409375
transcript.pyannote[289].speaker SPEAKER_06
transcript.pyannote[289].start 2135.37659375
transcript.pyannote[289].end 2137.23284375
transcript.pyannote[290].speaker SPEAKER_06
transcript.pyannote[290].start 2137.55346875
transcript.pyannote[290].end 2139.71346875
transcript.pyannote[291].speaker SPEAKER_06
transcript.pyannote[291].start 2140.25346875
transcript.pyannote[291].end 2142.61596875
transcript.pyannote[292].speaker SPEAKER_06
transcript.pyannote[292].start 2143.02096875
transcript.pyannote[292].end 2167.42221875
transcript.pyannote[293].speaker SPEAKER_06
transcript.pyannote[293].start 2167.79346875
transcript.pyannote[293].end 2174.86409375
transcript.pyannote[294].speaker SPEAKER_06
transcript.pyannote[294].start 2175.28596875
transcript.pyannote[294].end 2181.47909375
transcript.pyannote[295].speaker SPEAKER_06
transcript.pyannote[295].start 2181.86721875
transcript.pyannote[295].end 2182.30596875
transcript.pyannote[296].speaker SPEAKER_06
transcript.pyannote[296].start 2182.54221875
transcript.pyannote[296].end 2187.89159375
transcript.pyannote[297].speaker SPEAKER_06
transcript.pyannote[297].start 2188.53284375
transcript.pyannote[297].end 2190.05159375
transcript.pyannote[298].speaker SPEAKER_06
transcript.pyannote[298].start 2190.60846875
transcript.pyannote[298].end 2194.47284375
transcript.pyannote[299].speaker SPEAKER_06
transcript.pyannote[299].start 2194.70909375
transcript.pyannote[299].end 2195.21534375
transcript.pyannote[300].speaker SPEAKER_06
transcript.pyannote[300].start 2195.48534375
transcript.pyannote[300].end 2198.33721875
transcript.pyannote[301].speaker SPEAKER_06
transcript.pyannote[301].start 2198.72534375
transcript.pyannote[301].end 2199.73784375
transcript.pyannote[302].speaker SPEAKER_06
transcript.pyannote[302].start 2200.21034375
transcript.pyannote[302].end 2208.74909375
transcript.pyannote[303].speaker SPEAKER_06
transcript.pyannote[303].start 2209.17096875
transcript.pyannote[303].end 2211.73596875
transcript.pyannote[304].speaker SPEAKER_06
transcript.pyannote[304].start 2212.22534375
transcript.pyannote[304].end 2219.22846875
transcript.pyannote[305].speaker SPEAKER_06
transcript.pyannote[305].start 2219.41409375
transcript.pyannote[305].end 2222.48534375
transcript.pyannote[306].speaker SPEAKER_06
transcript.pyannote[306].start 2223.05909375
transcript.pyannote[306].end 2225.55659375
transcript.pyannote[307].speaker SPEAKER_06
transcript.pyannote[307].start 2226.02909375
transcript.pyannote[307].end 2237.68971875
transcript.pyannote[308].speaker SPEAKER_06
transcript.pyannote[308].start 2237.72346875
transcript.pyannote[308].end 2239.24221875
transcript.pyannote[309].speaker SPEAKER_06
transcript.pyannote[309].start 2239.93409375
transcript.pyannote[309].end 2244.25409375
transcript.pyannote[310].speaker SPEAKER_06
transcript.pyannote[310].start 2244.57471875
transcript.pyannote[310].end 2249.89034375
transcript.pyannote[311].speaker SPEAKER_06
transcript.pyannote[311].start 2250.26159375
transcript.pyannote[311].end 2252.94471875
transcript.pyannote[312].speaker SPEAKER_06
transcript.pyannote[312].start 2253.34971875
transcript.pyannote[312].end 2256.38721875
transcript.pyannote[313].speaker SPEAKER_06
transcript.pyannote[313].start 2256.75846875
transcript.pyannote[313].end 2257.24784375
transcript.pyannote[314].speaker SPEAKER_06
transcript.pyannote[314].start 2257.66971875
transcript.pyannote[314].end 2265.28034375
transcript.pyannote[315].speaker SPEAKER_06
transcript.pyannote[315].start 2265.75284375
transcript.pyannote[315].end 2269.38096875
transcript.pyannote[316].speaker SPEAKER_06
transcript.pyannote[316].start 2269.54971875
transcript.pyannote[316].end 2271.03471875
transcript.pyannote[317].speaker SPEAKER_06
transcript.pyannote[317].start 2271.35534375
transcript.pyannote[317].end 2277.44721875
transcript.pyannote[318].speaker SPEAKER_06
transcript.pyannote[318].start 2277.86909375
transcript.pyannote[318].end 2293.39409375
transcript.pyannote[319].speaker SPEAKER_06
transcript.pyannote[319].start 2293.95096875
transcript.pyannote[319].end 2297.19096875
transcript.pyannote[320].speaker SPEAKER_06
transcript.pyannote[320].start 2297.79846875
transcript.pyannote[320].end 2300.54909375
transcript.pyannote[321].speaker SPEAKER_06
transcript.pyannote[321].start 2300.58284375
transcript.pyannote[321].end 2301.91596875
transcript.pyannote[322].speaker SPEAKER_06
transcript.pyannote[322].start 2302.28721875
transcript.pyannote[322].end 2303.85659375
transcript.pyannote[323].speaker SPEAKER_06
transcript.pyannote[323].start 2303.90721875
transcript.pyannote[323].end 2305.67909375
transcript.pyannote[324].speaker SPEAKER_06
transcript.pyannote[324].start 2306.11784375
transcript.pyannote[324].end 2311.87221875
transcript.pyannote[325].speaker SPEAKER_06
transcript.pyannote[325].start 2312.29409375
transcript.pyannote[325].end 2317.87971875
transcript.pyannote[326].speaker SPEAKER_06
transcript.pyannote[326].start 2317.93034375
transcript.pyannote[326].end 2324.73096875
transcript.pyannote[327].speaker SPEAKER_06
transcript.pyannote[327].start 2325.28784375
transcript.pyannote[327].end 2327.59971875
transcript.pyannote[328].speaker SPEAKER_06
transcript.pyannote[328].start 2327.65034375
transcript.pyannote[328].end 2328.57846875
transcript.pyannote[329].speaker SPEAKER_06
transcript.pyannote[329].start 2329.06784375
transcript.pyannote[329].end 2330.75534375
transcript.pyannote[330].speaker SPEAKER_06
transcript.pyannote[330].start 2331.21096875
transcript.pyannote[330].end 2333.74221875
transcript.pyannote[331].speaker SPEAKER_06
transcript.pyannote[331].start 2333.96159375
transcript.pyannote[331].end 2334.68721875
transcript.pyannote[332].speaker SPEAKER_06
transcript.pyannote[332].start 2335.10909375
transcript.pyannote[332].end 2363.10471875
transcript.pyannote[333].speaker SPEAKER_06
transcript.pyannote[333].start 2363.17221875
transcript.pyannote[333].end 2364.21846875
transcript.pyannote[334].speaker SPEAKER_06
transcript.pyannote[334].start 2364.42096875
transcript.pyannote[334].end 2365.56846875
transcript.pyannote[335].speaker SPEAKER_06
transcript.pyannote[335].start 2365.73721875
transcript.pyannote[335].end 2368.09971875
transcript.pyannote[336].speaker SPEAKER_06
transcript.pyannote[336].start 2368.21784375
transcript.pyannote[336].end 2370.74909375
transcript.pyannote[337].speaker SPEAKER_06
transcript.pyannote[337].start 2371.08659375
transcript.pyannote[337].end 2373.34784375
transcript.pyannote[338].speaker SPEAKER_06
transcript.pyannote[338].start 2373.46596875
transcript.pyannote[338].end 2380.35096875
transcript.pyannote[339].speaker SPEAKER_25
transcript.pyannote[339].start 2382.10596875
transcript.pyannote[339].end 2384.11409375
transcript.pyannote[340].speaker SPEAKER_25
transcript.pyannote[340].start 2384.80596875
transcript.pyannote[340].end 2387.62409375
transcript.pyannote[341].speaker SPEAKER_19
transcript.pyannote[341].start 2397.22596875
transcript.pyannote[341].end 2400.29721875
transcript.pyannote[342].speaker SPEAKER_19
transcript.pyannote[342].start 2400.70221875
transcript.pyannote[342].end 2402.37284375
transcript.pyannote[343].speaker SPEAKER_19
transcript.pyannote[343].start 2402.74409375
transcript.pyannote[343].end 2406.10221875
transcript.pyannote[344].speaker SPEAKER_19
transcript.pyannote[344].start 2406.52409375
transcript.pyannote[344].end 2414.72534375
transcript.pyannote[345].speaker SPEAKER_19
transcript.pyannote[345].start 2414.77596875
transcript.pyannote[345].end 2417.37471875
transcript.pyannote[346].speaker SPEAKER_19
transcript.pyannote[346].start 2417.67846875
transcript.pyannote[346].end 2421.35721875
transcript.pyannote[347].speaker SPEAKER_19
transcript.pyannote[347].start 2421.61034375
transcript.pyannote[347].end 2422.40346875
transcript.pyannote[348].speaker SPEAKER_19
transcript.pyannote[348].start 2422.57221875
transcript.pyannote[348].end 2427.53346875
transcript.pyannote[349].speaker SPEAKER_19
transcript.pyannote[349].start 2427.80346875
transcript.pyannote[349].end 2437.87784375
transcript.pyannote[350].speaker SPEAKER_19
transcript.pyannote[350].start 2438.13096875
transcript.pyannote[350].end 2462.95409375
transcript.pyannote[351].speaker SPEAKER_19
transcript.pyannote[351].start 2463.40971875
transcript.pyannote[351].end 2474.20971875
transcript.pyannote[352].speaker SPEAKER_19
transcript.pyannote[352].start 2475.01971875
transcript.pyannote[352].end 2485.53284375
transcript.pyannote[353].speaker SPEAKER_19
transcript.pyannote[353].start 2485.60034375
transcript.pyannote[353].end 2527.29846875
transcript.pyannote[354].speaker SPEAKER_00
transcript.pyannote[354].start 2511.62159375
transcript.pyannote[354].end 2511.92534375
transcript.pyannote[355].speaker SPEAKER_19
transcript.pyannote[355].start 2527.41659375
transcript.pyannote[355].end 2558.63534375
transcript.pyannote[356].speaker SPEAKER_19
transcript.pyannote[356].start 2559.10784375
transcript.pyannote[356].end 2579.64471875
transcript.pyannote[357].speaker SPEAKER_19
transcript.pyannote[357].start 2579.89784375
transcript.pyannote[357].end 2588.82471875
transcript.pyannote[358].speaker SPEAKER_19
transcript.pyannote[358].start 2589.39846875
transcript.pyannote[358].end 2593.00971875
transcript.pyannote[359].speaker SPEAKER_19
transcript.pyannote[359].start 2593.39784375
transcript.pyannote[359].end 2609.56409375
transcript.pyannote[360].speaker SPEAKER_19
transcript.pyannote[360].start 2609.90159375
transcript.pyannote[360].end 2614.39034375
transcript.pyannote[361].speaker SPEAKER_19
transcript.pyannote[361].start 2614.50846875
transcript.pyannote[361].end 2626.27034375
transcript.pyannote[362].speaker SPEAKER_19
transcript.pyannote[362].start 2626.65846875
transcript.pyannote[362].end 2628.75096875
transcript.pyannote[363].speaker SPEAKER_19
transcript.pyannote[363].start 2628.81846875
transcript.pyannote[363].end 2630.26971875
transcript.pyannote[364].speaker SPEAKER_19
transcript.pyannote[364].start 2630.38784375
transcript.pyannote[364].end 2656.05471875
transcript.pyannote[365].speaker SPEAKER_19
transcript.pyannote[365].start 2656.27409375
transcript.pyannote[365].end 2658.48471875
transcript.pyannote[366].speaker SPEAKER_19
transcript.pyannote[366].start 2658.58596875
transcript.pyannote[366].end 2676.32159375
transcript.pyannote[367].speaker SPEAKER_19
transcript.pyannote[367].start 2676.55784375
transcript.pyannote[367].end 2681.33346875
transcript.pyannote[368].speaker SPEAKER_19
transcript.pyannote[368].start 2681.43471875
transcript.pyannote[368].end 2703.42284375
transcript.pyannote[369].speaker SPEAKER_19
transcript.pyannote[369].start 2704.75596875
transcript.pyannote[369].end 2705.70096875
transcript.pyannote[370].speaker SPEAKER_19
transcript.pyannote[370].start 2706.47721875
transcript.pyannote[370].end 2754.75659375
transcript.pyannote[371].speaker SPEAKER_25
transcript.pyannote[371].start 2756.68034375
transcript.pyannote[371].end 2757.72659375
transcript.pyannote[372].speaker SPEAKER_25
transcript.pyannote[372].start 2758.11471875
transcript.pyannote[372].end 2760.78096875
transcript.pyannote[373].speaker SPEAKER_00
transcript.pyannote[373].start 2768.62784375
transcript.pyannote[373].end 2769.25221875
transcript.pyannote[374].speaker SPEAKER_00
transcript.pyannote[374].start 2769.94409375
transcript.pyannote[374].end 2825.95221875
transcript.pyannote[375].speaker SPEAKER_00
transcript.pyannote[375].start 2826.20534375
transcript.pyannote[375].end 2859.31409375
transcript.pyannote[376].speaker SPEAKER_00
transcript.pyannote[376].start 2859.93846875
transcript.pyannote[376].end 2861.11971875
transcript.pyannote[377].speaker SPEAKER_00
transcript.pyannote[377].start 2861.35596875
transcript.pyannote[377].end 2863.60034375
transcript.pyannote[378].speaker SPEAKER_00
transcript.pyannote[378].start 2864.66346875
transcript.pyannote[378].end 2875.54784375
transcript.pyannote[379].speaker SPEAKER_00
transcript.pyannote[379].start 2875.90221875
transcript.pyannote[379].end 2894.90346875
transcript.pyannote[380].speaker SPEAKER_00
transcript.pyannote[380].start 2895.47721875
transcript.pyannote[380].end 2924.89034375
transcript.pyannote[381].speaker SPEAKER_00
transcript.pyannote[381].start 2925.64971875
transcript.pyannote[381].end 2930.81346875
transcript.pyannote[382].speaker SPEAKER_00
transcript.pyannote[382].start 2931.26909375
transcript.pyannote[382].end 2954.06721875
transcript.pyannote[383].speaker SPEAKER_00
transcript.pyannote[383].start 2954.50596875
transcript.pyannote[383].end 2955.70409375
transcript.pyannote[384].speaker SPEAKER_00
transcript.pyannote[384].start 2955.94034375
transcript.pyannote[384].end 2972.12346875
transcript.pyannote[385].speaker SPEAKER_00
transcript.pyannote[385].start 2972.81534375
transcript.pyannote[385].end 2989.06596875
transcript.pyannote[386].speaker SPEAKER_00
transcript.pyannote[386].start 2989.38659375
transcript.pyannote[386].end 2993.72346875
transcript.pyannote[387].speaker SPEAKER_00
transcript.pyannote[387].start 2993.84159375
transcript.pyannote[387].end 3015.77909375
transcript.pyannote[388].speaker SPEAKER_00
transcript.pyannote[388].start 3016.20096875
transcript.pyannote[388].end 3022.73159375
transcript.pyannote[389].speaker SPEAKER_00
transcript.pyannote[389].start 3023.35596875
transcript.pyannote[389].end 3065.64471875
transcript.pyannote[390].speaker SPEAKER_00
transcript.pyannote[390].start 3065.89784375
transcript.pyannote[390].end 3067.72034375
transcript.pyannote[391].speaker SPEAKER_00
transcript.pyannote[391].start 3067.83846875
transcript.pyannote[391].end 3068.09159375
transcript.pyannote[392].speaker SPEAKER_00
transcript.pyannote[392].start 3068.26034375
transcript.pyannote[392].end 3071.07846875
transcript.pyannote[393].speaker SPEAKER_25
transcript.pyannote[393].start 3072.85034375
transcript.pyannote[393].end 3074.40284375
transcript.pyannote[394].speaker SPEAKER_25
transcript.pyannote[394].start 3074.84159375
transcript.pyannote[394].end 3076.88346875
transcript.pyannote[395].speaker SPEAKER_12
transcript.pyannote[395].start 3088.13909375
transcript.pyannote[395].end 3124.72409375
transcript.pyannote[396].speaker SPEAKER_12
transcript.pyannote[396].start 3124.94346875
transcript.pyannote[396].end 3129.16221875
transcript.pyannote[397].speaker SPEAKER_12
transcript.pyannote[397].start 3129.48284375
transcript.pyannote[397].end 3151.11659375
transcript.pyannote[398].speaker SPEAKER_12
transcript.pyannote[398].start 3151.47096875
transcript.pyannote[398].end 3161.37659375
transcript.pyannote[399].speaker SPEAKER_12
transcript.pyannote[399].start 3161.93346875
transcript.pyannote[399].end 3162.87846875
transcript.pyannote[400].speaker SPEAKER_12
transcript.pyannote[400].start 3162.92909375
transcript.pyannote[400].end 3174.48846875
transcript.pyannote[401].speaker SPEAKER_12
transcript.pyannote[401].start 3174.57284375
transcript.pyannote[401].end 3176.04096875
transcript.pyannote[402].speaker SPEAKER_12
transcript.pyannote[402].start 3176.10846875
transcript.pyannote[402].end 3186.50346875
transcript.pyannote[403].speaker SPEAKER_12
transcript.pyannote[403].start 3186.87471875
transcript.pyannote[403].end 3197.15159375
transcript.pyannote[404].speaker SPEAKER_12
transcript.pyannote[404].start 3197.60721875
transcript.pyannote[404].end 3201.25221875
transcript.pyannote[405].speaker SPEAKER_12
transcript.pyannote[405].start 3201.38721875
transcript.pyannote[405].end 3236.60534375
transcript.pyannote[406].speaker SPEAKER_12
transcript.pyannote[406].start 3236.95971875
transcript.pyannote[406].end 3278.84346875
transcript.pyannote[407].speaker SPEAKER_12
transcript.pyannote[407].start 3279.21471875
transcript.pyannote[407].end 3310.11284375
transcript.pyannote[408].speaker SPEAKER_12
transcript.pyannote[408].start 3310.68659375
transcript.pyannote[408].end 3313.53846875
transcript.pyannote[409].speaker SPEAKER_12
transcript.pyannote[409].start 3313.89284375
transcript.pyannote[409].end 3339.66096875
transcript.pyannote[410].speaker SPEAKER_12
transcript.pyannote[410].start 3339.72846875
transcript.pyannote[410].end 3340.85909375
transcript.pyannote[411].speaker SPEAKER_12
transcript.pyannote[411].start 3340.92659375
transcript.pyannote[411].end 3367.08284375
transcript.pyannote[412].speaker SPEAKER_12
transcript.pyannote[412].start 3367.42034375
transcript.pyannote[412].end 3376.39784375
transcript.pyannote[413].speaker SPEAKER_12
transcript.pyannote[413].start 3376.43159375
transcript.pyannote[413].end 3396.44534375
transcript.pyannote[414].speaker SPEAKER_12
transcript.pyannote[414].start 3396.79971875
transcript.pyannote[414].end 3400.68096875
transcript.pyannote[415].speaker SPEAKER_12
transcript.pyannote[415].start 3400.73159375
transcript.pyannote[415].end 3422.88846875
transcript.pyannote[416].speaker SPEAKER_12
transcript.pyannote[416].start 3423.31034375
transcript.pyannote[416].end 3428.60909375
transcript.pyannote[417].speaker SPEAKER_12
transcript.pyannote[417].start 3429.01409375
transcript.pyannote[417].end 3447.88034375
transcript.pyannote[418].speaker SPEAKER_12
transcript.pyannote[418].start 3448.40346875
transcript.pyannote[418].end 3448.75784375
transcript.pyannote[419].speaker SPEAKER_12
transcript.pyannote[419].start 3449.01096875
transcript.pyannote[419].end 3464.99159375
transcript.pyannote[420].speaker SPEAKER_12
transcript.pyannote[420].start 3465.29534375
transcript.pyannote[420].end 3484.49909375
transcript.pyannote[421].speaker SPEAKER_12
transcript.pyannote[421].start 3484.60034375
transcript.pyannote[421].end 3495.87284375
transcript.pyannote[422].speaker SPEAKER_12
transcript.pyannote[422].start 3496.24409375
transcript.pyannote[422].end 3499.11284375
transcript.pyannote[423].speaker SPEAKER_12
transcript.pyannote[423].start 3500.90159375
transcript.pyannote[423].end 3507.01034375
transcript.pyannote[424].speaker SPEAKER_25
transcript.pyannote[424].start 3507.88784375
transcript.pyannote[424].end 3510.09846875
transcript.pyannote[425].speaker SPEAKER_25
transcript.pyannote[425].start 3510.99284375
transcript.pyannote[425].end 3512.03909375
transcript.pyannote[426].speaker SPEAKER_25
transcript.pyannote[426].start 3513.43971875
transcript.pyannote[426].end 3516.07221875
transcript.pyannote[427].speaker SPEAKER_02
transcript.pyannote[427].start 3528.91409375
transcript.pyannote[427].end 3530.83784375
transcript.pyannote[428].speaker SPEAKER_02
transcript.pyannote[428].start 3531.32721875
transcript.pyannote[428].end 3538.39784375
transcript.pyannote[429].speaker SPEAKER_02
transcript.pyannote[429].start 3538.61721875
transcript.pyannote[429].end 3613.37346875
transcript.pyannote[430].speaker SPEAKER_02
transcript.pyannote[430].start 3614.04846875
transcript.pyannote[430].end 3719.26409375
transcript.pyannote[431].speaker SPEAKER_02
transcript.pyannote[431].start 3720.15846875
transcript.pyannote[431].end 3766.46346875
transcript.pyannote[432].speaker SPEAKER_02
transcript.pyannote[432].start 3766.91909375
transcript.pyannote[432].end 3816.31221875
transcript.pyannote[433].speaker SPEAKER_02
transcript.pyannote[433].start 3816.51471875
transcript.pyannote[433].end 3943.34721875
transcript.pyannote[434].speaker SPEAKER_25
transcript.pyannote[434].start 3944.17409375
transcript.pyannote[434].end 3946.01346875
transcript.pyannote[435].speaker SPEAKER_25
transcript.pyannote[435].start 3946.62096875
transcript.pyannote[435].end 3948.96659375
transcript.pyannote[436].speaker SPEAKER_11
transcript.pyannote[436].start 3960.99846875
transcript.pyannote[436].end 4019.87534375
transcript.pyannote[437].speaker SPEAKER_11
transcript.pyannote[437].start 4020.21284375
transcript.pyannote[437].end 4097.07846875
transcript.pyannote[438].speaker SPEAKER_11
transcript.pyannote[438].start 4097.75346875
transcript.pyannote[438].end 4102.98471875
transcript.pyannote[439].speaker SPEAKER_11
transcript.pyannote[439].start 4103.84534375
transcript.pyannote[439].end 4107.33846875
transcript.pyannote[440].speaker SPEAKER_11
transcript.pyannote[440].start 4108.03034375
transcript.pyannote[440].end 4115.72534375
transcript.pyannote[441].speaker SPEAKER_11
transcript.pyannote[441].start 4116.21471875
transcript.pyannote[441].end 4155.24659375
transcript.pyannote[442].speaker SPEAKER_11
transcript.pyannote[442].start 4155.44909375
transcript.pyannote[442].end 4173.04971875
transcript.pyannote[443].speaker SPEAKER_11
transcript.pyannote[443].start 4173.43784375
transcript.pyannote[443].end 4177.52159375
transcript.pyannote[444].speaker SPEAKER_17
transcript.pyannote[444].start 4177.52159375
transcript.pyannote[444].end 4177.84221875
transcript.pyannote[445].speaker SPEAKER_11
transcript.pyannote[445].start 4177.84221875
transcript.pyannote[445].end 4179.78284375
transcript.pyannote[446].speaker SPEAKER_11
transcript.pyannote[446].start 4180.45784375
transcript.pyannote[446].end 4192.94534375
transcript.pyannote[447].speaker SPEAKER_11
transcript.pyannote[447].start 4193.41784375
transcript.pyannote[447].end 4227.35346875
transcript.pyannote[448].speaker SPEAKER_11
transcript.pyannote[448].start 4227.50534375
transcript.pyannote[448].end 4231.23471875
transcript.pyannote[449].speaker SPEAKER_11
transcript.pyannote[449].start 4231.28534375
transcript.pyannote[449].end 4247.09721875
transcript.pyannote[450].speaker SPEAKER_11
transcript.pyannote[450].start 4247.53596875
transcript.pyannote[450].end 4290.60096875
transcript.pyannote[451].speaker SPEAKER_25
transcript.pyannote[451].start 4292.25471875
transcript.pyannote[451].end 4294.16159375
transcript.pyannote[452].speaker SPEAKER_25
transcript.pyannote[452].start 4294.27971875
transcript.pyannote[452].end 4297.95846875
transcript.pyannote[453].speaker SPEAKER_13
transcript.pyannote[453].start 4305.70409375
transcript.pyannote[453].end 4306.90221875
transcript.pyannote[454].speaker SPEAKER_13
transcript.pyannote[454].start 4307.27346875
transcript.pyannote[454].end 4307.66159375
transcript.pyannote[455].speaker SPEAKER_13
transcript.pyannote[455].start 4308.08346875
transcript.pyannote[455].end 4308.80909375
transcript.pyannote[456].speaker SPEAKER_13
transcript.pyannote[456].start 4310.32784375
transcript.pyannote[456].end 4312.77471875
transcript.pyannote[457].speaker SPEAKER_13
transcript.pyannote[457].start 4313.39909375
transcript.pyannote[457].end 4314.71534375
transcript.pyannote[458].speaker SPEAKER_13
transcript.pyannote[458].start 4315.42409375
transcript.pyannote[458].end 4316.97659375
transcript.pyannote[459].speaker SPEAKER_13
transcript.pyannote[459].start 4317.33096875
transcript.pyannote[459].end 4321.51596875
transcript.pyannote[460].speaker SPEAKER_13
transcript.pyannote[460].start 4322.22471875
transcript.pyannote[460].end 4323.60846875
transcript.pyannote[461].speaker SPEAKER_13
transcript.pyannote[461].start 4324.85721875
transcript.pyannote[461].end 4327.23659375
transcript.pyannote[462].speaker SPEAKER_13
transcript.pyannote[462].start 4327.62471875
transcript.pyannote[462].end 4328.78909375
transcript.pyannote[463].speaker SPEAKER_13
transcript.pyannote[463].start 4329.43034375
transcript.pyannote[463].end 4330.78034375
transcript.pyannote[464].speaker SPEAKER_13
transcript.pyannote[464].start 4331.82659375
transcript.pyannote[464].end 4333.31159375
transcript.pyannote[465].speaker SPEAKER_13
transcript.pyannote[465].start 4333.63221875
transcript.pyannote[465].end 4337.04096875
transcript.pyannote[466].speaker SPEAKER_13
transcript.pyannote[466].start 4337.83409375
transcript.pyannote[466].end 4340.19659375
transcript.pyannote[467].speaker SPEAKER_13
transcript.pyannote[467].start 4340.34846875
transcript.pyannote[467].end 4348.29659375
transcript.pyannote[468].speaker SPEAKER_13
transcript.pyannote[468].start 4348.36409375
transcript.pyannote[468].end 4351.24971875
transcript.pyannote[469].speaker SPEAKER_13
transcript.pyannote[469].start 4352.29596875
transcript.pyannote[469].end 4352.61659375
transcript.pyannote[470].speaker SPEAKER_13
transcript.pyannote[470].start 4353.15659375
transcript.pyannote[470].end 4354.67534375
transcript.pyannote[471].speaker SPEAKER_13
transcript.pyannote[471].start 4355.51909375
transcript.pyannote[471].end 4358.53971875
transcript.pyannote[472].speaker SPEAKER_13
transcript.pyannote[472].start 4358.97846875
transcript.pyannote[472].end 4360.54784375
transcript.pyannote[473].speaker SPEAKER_13
transcript.pyannote[473].start 4360.68284375
transcript.pyannote[473].end 4361.49284375
transcript.pyannote[474].speaker SPEAKER_13
transcript.pyannote[474].start 4362.03284375
transcript.pyannote[474].end 4362.77534375
transcript.pyannote[475].speaker SPEAKER_13
transcript.pyannote[475].start 4363.24784375
transcript.pyannote[475].end 4364.54721875
transcript.pyannote[476].speaker SPEAKER_13
transcript.pyannote[476].start 4365.13784375
transcript.pyannote[476].end 4365.96471875
transcript.pyannote[477].speaker SPEAKER_13
transcript.pyannote[477].start 4366.21784375
transcript.pyannote[477].end 4367.98971875
transcript.pyannote[478].speaker SPEAKER_13
transcript.pyannote[478].start 4368.56346875
transcript.pyannote[478].end 4369.81221875
transcript.pyannote[479].speaker SPEAKER_13
transcript.pyannote[479].start 4370.79096875
transcript.pyannote[479].end 4371.39846875
transcript.pyannote[480].speaker SPEAKER_13
transcript.pyannote[480].start 4371.88784375
transcript.pyannote[480].end 4372.95096875
transcript.pyannote[481].speaker SPEAKER_13
transcript.pyannote[481].start 4373.52471875
transcript.pyannote[481].end 4375.63409375
transcript.pyannote[482].speaker SPEAKER_13
transcript.pyannote[482].start 4375.76909375
transcript.pyannote[482].end 4376.86596875
transcript.pyannote[483].speaker SPEAKER_13
transcript.pyannote[483].start 4377.52409375
transcript.pyannote[483].end 4380.03846875
transcript.pyannote[484].speaker SPEAKER_13
transcript.pyannote[484].start 4380.34221875
transcript.pyannote[484].end 4381.87784375
transcript.pyannote[485].speaker SPEAKER_13
transcript.pyannote[485].start 4382.62034375
transcript.pyannote[485].end 4384.40909375
transcript.pyannote[486].speaker SPEAKER_13
transcript.pyannote[486].start 4385.50596875
transcript.pyannote[486].end 4387.73346875
transcript.pyannote[487].speaker SPEAKER_13
transcript.pyannote[487].start 4388.39159375
transcript.pyannote[487].end 4392.10409375
transcript.pyannote[488].speaker SPEAKER_13
transcript.pyannote[488].start 4392.35721875
transcript.pyannote[488].end 4404.59159375
transcript.pyannote[489].speaker SPEAKER_13
transcript.pyannote[489].start 4404.94596875
transcript.pyannote[489].end 4420.48784375
transcript.pyannote[490].speaker SPEAKER_13
transcript.pyannote[490].start 4420.96034375
transcript.pyannote[490].end 4421.44971875
transcript.pyannote[491].speaker SPEAKER_13
transcript.pyannote[491].start 4421.88846875
transcript.pyannote[491].end 4424.52096875
transcript.pyannote[492].speaker SPEAKER_13
transcript.pyannote[492].start 4424.85846875
transcript.pyannote[492].end 4427.15346875
transcript.pyannote[493].speaker SPEAKER_13
transcript.pyannote[493].start 4428.21659375
transcript.pyannote[493].end 4429.66784375
transcript.pyannote[494].speaker SPEAKER_13
transcript.pyannote[494].start 4430.14034375
transcript.pyannote[494].end 4431.33846875
transcript.pyannote[495].speaker SPEAKER_13
transcript.pyannote[495].start 4431.69284375
transcript.pyannote[495].end 4436.82284375
transcript.pyannote[496].speaker SPEAKER_13
transcript.pyannote[496].start 4437.04221875
transcript.pyannote[496].end 4439.80971875
transcript.pyannote[497].speaker SPEAKER_13
transcript.pyannote[497].start 4440.24846875
transcript.pyannote[497].end 4442.03721875
transcript.pyannote[498].speaker SPEAKER_13
transcript.pyannote[498].start 4442.25659375
transcript.pyannote[498].end 4445.42909375
transcript.pyannote[499].speaker SPEAKER_13
transcript.pyannote[499].start 4446.94784375
transcript.pyannote[499].end 4448.88846875
transcript.pyannote[500].speaker SPEAKER_13
transcript.pyannote[500].start 4449.34409375
transcript.pyannote[500].end 4449.83346875
transcript.pyannote[501].speaker SPEAKER_13
transcript.pyannote[501].start 4450.25534375
transcript.pyannote[501].end 4450.89659375
transcript.pyannote[502].speaker SPEAKER_13
transcript.pyannote[502].start 4451.43659375
transcript.pyannote[502].end 4452.80346875
transcript.pyannote[503].speaker SPEAKER_13
transcript.pyannote[503].start 4453.20846875
transcript.pyannote[503].end 4455.25034375
transcript.pyannote[504].speaker SPEAKER_13
transcript.pyannote[504].start 4455.60471875
transcript.pyannote[504].end 4456.14471875
transcript.pyannote[505].speaker SPEAKER_13
transcript.pyannote[505].start 4457.30909375
transcript.pyannote[505].end 4460.26221875
transcript.pyannote[506].speaker SPEAKER_13
transcript.pyannote[506].start 4460.71784375
transcript.pyannote[506].end 4461.61221875
transcript.pyannote[507].speaker SPEAKER_13
transcript.pyannote[507].start 4462.01721875
transcript.pyannote[507].end 4468.46346875
transcript.pyannote[508].speaker SPEAKER_13
transcript.pyannote[508].start 4469.12159375
transcript.pyannote[508].end 4475.48346875
transcript.pyannote[509].speaker SPEAKER_13
transcript.pyannote[509].start 4476.07409375
transcript.pyannote[509].end 4476.49596875
transcript.pyannote[510].speaker SPEAKER_13
transcript.pyannote[510].start 4477.44096875
transcript.pyannote[510].end 4477.84596875
transcript.pyannote[511].speaker SPEAKER_13
transcript.pyannote[511].start 4478.48721875
transcript.pyannote[511].end 4479.68534375
transcript.pyannote[512].speaker SPEAKER_13
transcript.pyannote[512].start 4479.95534375
transcript.pyannote[512].end 4481.35596875
transcript.pyannote[513].speaker SPEAKER_13
transcript.pyannote[513].start 4481.69346875
transcript.pyannote[513].end 4482.30096875
transcript.pyannote[514].speaker SPEAKER_13
transcript.pyannote[514].start 4482.72284375
transcript.pyannote[514].end 4484.05596875
transcript.pyannote[515].speaker SPEAKER_13
transcript.pyannote[515].start 4484.27534375
transcript.pyannote[515].end 4488.73034375
transcript.pyannote[516].speaker SPEAKER_13
transcript.pyannote[516].start 4489.45596875
transcript.pyannote[516].end 4501.94346875
transcript.pyannote[517].speaker SPEAKER_13
transcript.pyannote[517].start 4501.97721875
transcript.pyannote[517].end 4503.05721875
transcript.pyannote[518].speaker SPEAKER_13
transcript.pyannote[518].start 4503.34409375
transcript.pyannote[518].end 4506.88784375
transcript.pyannote[519].speaker SPEAKER_13
transcript.pyannote[519].start 4507.42784375
transcript.pyannote[519].end 4508.87909375
transcript.pyannote[520].speaker SPEAKER_17
transcript.pyannote[520].start 4508.87909375
transcript.pyannote[520].end 4509.18284375
transcript.pyannote[521].speaker SPEAKER_13
transcript.pyannote[521].start 4509.40221875
transcript.pyannote[521].end 4511.22471875
transcript.pyannote[522].speaker SPEAKER_13
transcript.pyannote[522].start 4511.27534375
transcript.pyannote[522].end 4512.30471875
transcript.pyannote[523].speaker SPEAKER_13
transcript.pyannote[523].start 4512.60846875
transcript.pyannote[523].end 4518.91971875
transcript.pyannote[524].speaker SPEAKER_13
transcript.pyannote[524].start 4519.13909375
transcript.pyannote[524].end 4519.88159375
transcript.pyannote[525].speaker SPEAKER_13
transcript.pyannote[525].start 4520.65784375
transcript.pyannote[525].end 4521.48471875
transcript.pyannote[526].speaker SPEAKER_13
transcript.pyannote[526].start 4522.14284375
transcript.pyannote[526].end 4523.29034375
transcript.pyannote[527].speaker SPEAKER_13
transcript.pyannote[527].start 4523.54346875
transcript.pyannote[527].end 4524.35346875
transcript.pyannote[528].speaker SPEAKER_13
transcript.pyannote[528].start 4525.02846875
transcript.pyannote[528].end 4527.44159375
transcript.pyannote[529].speaker SPEAKER_13
transcript.pyannote[529].start 4527.91409375
transcript.pyannote[529].end 4529.92221875
transcript.pyannote[530].speaker SPEAKER_13
transcript.pyannote[530].start 4530.86721875
transcript.pyannote[530].end 4531.54221875
transcript.pyannote[531].speaker SPEAKER_13
transcript.pyannote[531].start 4532.82471875
transcript.pyannote[531].end 4533.24659375
transcript.pyannote[532].speaker SPEAKER_13
transcript.pyannote[532].start 4533.71909375
transcript.pyannote[532].end 4535.87909375
transcript.pyannote[533].speaker SPEAKER_13
transcript.pyannote[533].start 4536.30096875
transcript.pyannote[533].end 4538.10659375
transcript.pyannote[534].speaker SPEAKER_13
transcript.pyannote[534].start 4538.96721875
transcript.pyannote[534].end 4540.28346875
transcript.pyannote[535].speaker SPEAKER_13
transcript.pyannote[535].start 4541.32971875
transcript.pyannote[535].end 4542.35909375
transcript.pyannote[536].speaker SPEAKER_13
transcript.pyannote[536].start 4543.16909375
transcript.pyannote[536].end 4544.41784375
transcript.pyannote[537].speaker SPEAKER_13
transcript.pyannote[537].start 4544.85659375
transcript.pyannote[537].end 4545.59909375
transcript.pyannote[538].speaker SPEAKER_13
transcript.pyannote[538].start 4546.88159375
transcript.pyannote[538].end 4547.60721875
transcript.pyannote[539].speaker SPEAKER_13
transcript.pyannote[539].start 4547.82659375
transcript.pyannote[539].end 4548.61971875
transcript.pyannote[540].speaker SPEAKER_13
transcript.pyannote[540].start 4548.94034375
transcript.pyannote[540].end 4549.39596875
transcript.pyannote[541].speaker SPEAKER_13
transcript.pyannote[541].start 4549.90221875
transcript.pyannote[541].end 4551.11721875
transcript.pyannote[542].speaker SPEAKER_13
transcript.pyannote[542].start 4551.43784375
transcript.pyannote[542].end 4551.87659375
transcript.pyannote[543].speaker SPEAKER_13
transcript.pyannote[543].start 4552.51784375
transcript.pyannote[543].end 4553.27721875
transcript.pyannote[544].speaker SPEAKER_13
transcript.pyannote[544].start 4553.81721875
transcript.pyannote[544].end 4555.03221875
transcript.pyannote[545].speaker SPEAKER_13
transcript.pyannote[545].start 4555.26846875
transcript.pyannote[545].end 4555.69034375
transcript.pyannote[546].speaker SPEAKER_13
transcript.pyannote[546].start 4557.04034375
transcript.pyannote[546].end 4557.78284375
transcript.pyannote[547].speaker SPEAKER_13
transcript.pyannote[547].start 4558.08659375
transcript.pyannote[547].end 4560.02721875
transcript.pyannote[548].speaker SPEAKER_13
transcript.pyannote[548].start 4561.15784375
transcript.pyannote[548].end 4561.57971875
transcript.pyannote[549].speaker SPEAKER_13
transcript.pyannote[549].start 4563.35159375
transcript.pyannote[549].end 4563.85784375
transcript.pyannote[550].speaker SPEAKER_13
transcript.pyannote[550].start 4564.19534375
transcript.pyannote[550].end 4565.73096875
transcript.pyannote[551].speaker SPEAKER_13
transcript.pyannote[551].start 4566.30471875
transcript.pyannote[551].end 4568.22846875
transcript.pyannote[552].speaker SPEAKER_13
transcript.pyannote[552].start 4568.71784375
transcript.pyannote[552].end 4571.29971875
transcript.pyannote[553].speaker SPEAKER_13
transcript.pyannote[553].start 4572.29534375
transcript.pyannote[553].end 4573.10534375
transcript.pyannote[554].speaker SPEAKER_13
transcript.pyannote[554].start 4573.22346875
transcript.pyannote[554].end 4575.23159375
transcript.pyannote[555].speaker SPEAKER_13
transcript.pyannote[555].start 4575.73784375
transcript.pyannote[555].end 4576.31159375
transcript.pyannote[556].speaker SPEAKER_13
transcript.pyannote[556].start 4576.68284375
transcript.pyannote[556].end 4577.98221875
transcript.pyannote[557].speaker SPEAKER_13
transcript.pyannote[557].start 4579.01159375
transcript.pyannote[557].end 4580.59784375
transcript.pyannote[558].speaker SPEAKER_13
transcript.pyannote[558].start 4581.27284375
transcript.pyannote[558].end 4582.03221875
transcript.pyannote[559].speaker SPEAKER_13
transcript.pyannote[559].start 4582.40346875
transcript.pyannote[559].end 4583.24721875
transcript.pyannote[560].speaker SPEAKER_13
transcript.pyannote[560].start 4584.42846875
transcript.pyannote[560].end 4584.96846875
transcript.pyannote[561].speaker SPEAKER_13
transcript.pyannote[561].start 4585.79534375
transcript.pyannote[561].end 4589.40659375
transcript.pyannote[562].speaker SPEAKER_13
transcript.pyannote[562].start 4590.25034375
transcript.pyannote[562].end 4590.55409375
transcript.pyannote[563].speaker SPEAKER_13
transcript.pyannote[563].start 4590.97596875
transcript.pyannote[563].end 4593.13596875
transcript.pyannote[564].speaker SPEAKER_13
transcript.pyannote[564].start 4593.55784375
transcript.pyannote[564].end 4598.87346875
transcript.pyannote[565].speaker SPEAKER_13
transcript.pyannote[565].start 4599.61596875
transcript.pyannote[565].end 4601.05034375
transcript.pyannote[566].speaker SPEAKER_13
transcript.pyannote[566].start 4601.86034375
transcript.pyannote[566].end 4602.40034375
transcript.pyannote[567].speaker SPEAKER_13
transcript.pyannote[567].start 4602.87284375
transcript.pyannote[567].end 4603.15971875
transcript.pyannote[568].speaker SPEAKER_13
transcript.pyannote[568].start 4603.56471875
transcript.pyannote[568].end 4604.45909375
transcript.pyannote[569].speaker SPEAKER_13
transcript.pyannote[569].start 4604.67846875
transcript.pyannote[569].end 4605.11721875
transcript.pyannote[570].speaker SPEAKER_13
transcript.pyannote[570].start 4605.75846875
transcript.pyannote[570].end 4607.61471875
transcript.pyannote[571].speaker SPEAKER_13
transcript.pyannote[571].start 4608.01971875
transcript.pyannote[571].end 4608.89721875
transcript.pyannote[572].speaker SPEAKER_13
transcript.pyannote[572].start 4609.04909375
transcript.pyannote[572].end 4609.31909375
transcript.pyannote[573].speaker SPEAKER_13
transcript.pyannote[573].start 4609.63971875
transcript.pyannote[573].end 4610.65221875
transcript.pyannote[574].speaker SPEAKER_13
transcript.pyannote[574].start 4611.51284375
transcript.pyannote[574].end 4613.82471875
transcript.pyannote[575].speaker SPEAKER_13
transcript.pyannote[575].start 4614.73596875
transcript.pyannote[575].end 4616.08596875
transcript.pyannote[576].speaker SPEAKER_13
transcript.pyannote[576].start 4616.52471875
transcript.pyannote[576].end 4617.28409375
transcript.pyannote[577].speaker SPEAKER_13
transcript.pyannote[577].start 4618.29659375
transcript.pyannote[577].end 4619.88284375
transcript.pyannote[578].speaker SPEAKER_13
transcript.pyannote[578].start 4620.38909375
transcript.pyannote[578].end 4621.45221875
transcript.pyannote[579].speaker SPEAKER_13
transcript.pyannote[579].start 4621.77284375
transcript.pyannote[579].end 4622.49846875
transcript.pyannote[580].speaker SPEAKER_13
transcript.pyannote[580].start 4623.03846875
transcript.pyannote[580].end 4624.00034375
transcript.pyannote[581].speaker SPEAKER_13
transcript.pyannote[581].start 4624.18596875
transcript.pyannote[581].end 4625.58659375
transcript.pyannote[582].speaker SPEAKER_13
transcript.pyannote[582].start 4625.90721875
transcript.pyannote[582].end 4626.26159375
transcript.pyannote[583].speaker SPEAKER_13
transcript.pyannote[583].start 4626.48096875
transcript.pyannote[583].end 4626.95346875
transcript.pyannote[584].speaker SPEAKER_13
transcript.pyannote[584].start 4627.64534375
transcript.pyannote[584].end 4631.61096875
transcript.pyannote[585].speaker SPEAKER_13
transcript.pyannote[585].start 4632.18471875
transcript.pyannote[585].end 4633.60221875
transcript.pyannote[586].speaker SPEAKER_13
transcript.pyannote[586].start 4633.90596875
transcript.pyannote[586].end 4634.56409375
transcript.pyannote[587].speaker SPEAKER_13
transcript.pyannote[587].start 4634.76659375
transcript.pyannote[587].end 4637.71971875
transcript.pyannote[588].speaker SPEAKER_13
transcript.pyannote[588].start 4638.29346875
transcript.pyannote[588].end 4641.68534375
transcript.pyannote[589].speaker SPEAKER_13
transcript.pyannote[589].start 4641.80346875
transcript.pyannote[589].end 4645.27971875
transcript.pyannote[590].speaker SPEAKER_13
transcript.pyannote[590].start 4645.65096875
transcript.pyannote[590].end 4646.34284375
transcript.pyannote[591].speaker SPEAKER_13
transcript.pyannote[591].start 4647.05159375
transcript.pyannote[591].end 4647.96284375
transcript.pyannote[592].speaker SPEAKER_13
transcript.pyannote[592].start 4648.35096875
transcript.pyannote[592].end 4656.34971875
transcript.pyannote[593].speaker SPEAKER_13
transcript.pyannote[593].start 4656.45096875
transcript.pyannote[593].end 4658.67846875
transcript.pyannote[594].speaker SPEAKER_13
transcript.pyannote[594].start 4659.97784375
transcript.pyannote[594].end 4661.61471875
transcript.pyannote[595].speaker SPEAKER_13
transcript.pyannote[595].start 4662.23909375
transcript.pyannote[595].end 4663.52159375
transcript.pyannote[596].speaker SPEAKER_13
transcript.pyannote[596].start 4664.34846875
transcript.pyannote[596].end 4664.66909375
transcript.pyannote[597].speaker SPEAKER_13
transcript.pyannote[597].start 4665.05721875
transcript.pyannote[597].end 4665.46221875
transcript.pyannote[598].speaker SPEAKER_13
transcript.pyannote[598].start 4666.40721875
transcript.pyannote[598].end 4666.77846875
transcript.pyannote[599].speaker SPEAKER_13
transcript.pyannote[599].start 4669.95096875
transcript.pyannote[599].end 4670.55846875
transcript.pyannote[600].speaker SPEAKER_13
transcript.pyannote[600].start 4670.77784375
transcript.pyannote[600].end 4671.40221875
transcript.pyannote[601].speaker SPEAKER_13
transcript.pyannote[601].start 4673.24159375
transcript.pyannote[601].end 4673.74784375
transcript.pyannote[602].speaker SPEAKER_13
transcript.pyannote[602].start 4674.20346875
transcript.pyannote[602].end 4674.87846875
transcript.pyannote[603].speaker SPEAKER_13
transcript.pyannote[603].start 4675.99221875
transcript.pyannote[603].end 4677.15659375
transcript.pyannote[604].speaker SPEAKER_13
transcript.pyannote[604].start 4677.61221875
transcript.pyannote[604].end 4679.70471875
transcript.pyannote[605].speaker SPEAKER_13
transcript.pyannote[605].start 4680.26159375
transcript.pyannote[605].end 4683.83909375
transcript.pyannote[606].speaker SPEAKER_13
transcript.pyannote[606].start 4684.26096875
transcript.pyannote[606].end 4685.37471875
transcript.pyannote[607].speaker SPEAKER_13
transcript.pyannote[607].start 4685.69534375
transcript.pyannote[607].end 4685.89784375
transcript.pyannote[608].speaker SPEAKER_13
transcript.pyannote[608].start 4686.40409375
transcript.pyannote[608].end 4687.01159375
transcript.pyannote[609].speaker SPEAKER_13
transcript.pyannote[609].start 4687.60221875
transcript.pyannote[609].end 4690.47096875
transcript.pyannote[610].speaker SPEAKER_13
transcript.pyannote[610].start 4690.77471875
transcript.pyannote[610].end 4692.71534375
transcript.pyannote[611].speaker SPEAKER_13
transcript.pyannote[611].start 4692.91784375
transcript.pyannote[611].end 4695.43221875
transcript.pyannote[612].speaker SPEAKER_13
transcript.pyannote[612].start 4696.15784375
transcript.pyannote[612].end 4696.64721875
transcript.pyannote[613].speaker SPEAKER_13
transcript.pyannote[613].start 4697.42346875
transcript.pyannote[613].end 4700.25846875
transcript.pyannote[614].speaker SPEAKER_13
transcript.pyannote[614].start 4700.95034375
transcript.pyannote[614].end 4702.26659375
transcript.pyannote[615].speaker SPEAKER_13
transcript.pyannote[615].start 4703.66721875
transcript.pyannote[615].end 4704.69659375
transcript.pyannote[616].speaker SPEAKER_13
transcript.pyannote[616].start 4704.89909375
transcript.pyannote[616].end 4705.89471875
transcript.pyannote[617].speaker SPEAKER_13
transcript.pyannote[617].start 4706.78909375
transcript.pyannote[617].end 4707.54846875
transcript.pyannote[618].speaker SPEAKER_13
transcript.pyannote[618].start 4708.13909375
transcript.pyannote[618].end 4709.79284375
transcript.pyannote[619].speaker SPEAKER_13
transcript.pyannote[619].start 4711.75034375
transcript.pyannote[619].end 4713.37034375
transcript.pyannote[620].speaker SPEAKER_13
transcript.pyannote[620].start 4714.53471875
transcript.pyannote[620].end 4715.69909375
transcript.pyannote[621].speaker SPEAKER_13
transcript.pyannote[621].start 4716.23909375
transcript.pyannote[621].end 4717.42034375
transcript.pyannote[622].speaker SPEAKER_13
transcript.pyannote[622].start 4717.97721875
transcript.pyannote[622].end 4719.05721875
transcript.pyannote[623].speaker SPEAKER_13
transcript.pyannote[623].start 4719.74909375
transcript.pyannote[623].end 4720.55909375
transcript.pyannote[624].speaker SPEAKER_13
transcript.pyannote[624].start 4721.21721875
transcript.pyannote[624].end 4722.24659375
transcript.pyannote[625].speaker SPEAKER_13
transcript.pyannote[625].start 4722.92159375
transcript.pyannote[625].end 4725.84096875
transcript.pyannote[626].speaker SPEAKER_13
transcript.pyannote[626].start 4726.26284375
transcript.pyannote[626].end 4728.77721875
transcript.pyannote[627].speaker SPEAKER_13
transcript.pyannote[627].start 4729.38471875
transcript.pyannote[627].end 4730.38034375
transcript.pyannote[628].speaker SPEAKER_13
transcript.pyannote[628].start 4730.73471875
transcript.pyannote[628].end 4732.13534375
transcript.pyannote[629].speaker SPEAKER_13
transcript.pyannote[629].start 4732.43909375
transcript.pyannote[629].end 4736.80971875
transcript.pyannote[630].speaker SPEAKER_13
transcript.pyannote[630].start 4737.04596875
transcript.pyannote[630].end 4738.59846875
transcript.pyannote[631].speaker SPEAKER_13
transcript.pyannote[631].start 4739.84721875
transcript.pyannote[631].end 4748.18346875
transcript.pyannote[632].speaker SPEAKER_13
transcript.pyannote[632].start 4748.38596875
transcript.pyannote[632].end 4748.75721875
transcript.pyannote[633].speaker SPEAKER_13
transcript.pyannote[633].start 4748.99346875
transcript.pyannote[633].end 4750.59659375
transcript.pyannote[634].speaker SPEAKER_13
transcript.pyannote[634].start 4750.95096875
transcript.pyannote[634].end 4751.86221875
transcript.pyannote[635].speaker SPEAKER_13
transcript.pyannote[635].start 4752.67221875
transcript.pyannote[635].end 4753.71846875
transcript.pyannote[636].speaker SPEAKER_13
transcript.pyannote[636].start 4754.66346875
transcript.pyannote[636].end 4755.00096875
transcript.pyannote[637].speaker SPEAKER_13
transcript.pyannote[637].start 4755.27096875
transcript.pyannote[637].end 4756.26659375
transcript.pyannote[638].speaker SPEAKER_13
transcript.pyannote[638].start 4756.53659375
transcript.pyannote[638].end 4760.89034375
transcript.pyannote[639].speaker SPEAKER_13
transcript.pyannote[639].start 4761.39659375
transcript.pyannote[639].end 4761.88596875
transcript.pyannote[640].speaker SPEAKER_13
transcript.pyannote[640].start 4763.08409375
transcript.pyannote[640].end 4764.68721875
transcript.pyannote[641].speaker SPEAKER_13
transcript.pyannote[641].start 4765.75034375
transcript.pyannote[641].end 4766.52659375
transcript.pyannote[642].speaker SPEAKER_13
transcript.pyannote[642].start 4766.67846875
transcript.pyannote[642].end 4770.64409375
transcript.pyannote[643].speaker SPEAKER_13
transcript.pyannote[643].start 4770.86346875
transcript.pyannote[643].end 4773.39471875
transcript.pyannote[644].speaker SPEAKER_13
transcript.pyannote[644].start 4773.73221875
transcript.pyannote[644].end 4775.08221875
transcript.pyannote[645].speaker SPEAKER_13
transcript.pyannote[645].start 4775.20034375
transcript.pyannote[645].end 4778.17034375
transcript.pyannote[646].speaker SPEAKER_13
transcript.pyannote[646].start 4779.28409375
transcript.pyannote[646].end 4781.42721875
transcript.pyannote[647].speaker SPEAKER_13
transcript.pyannote[647].start 4781.61284375
transcript.pyannote[647].end 4782.86159375
transcript.pyannote[648].speaker SPEAKER_13
transcript.pyannote[648].start 4783.14846875
transcript.pyannote[648].end 4784.09346875
transcript.pyannote[649].speaker SPEAKER_13
transcript.pyannote[649].start 4784.41409375
transcript.pyannote[649].end 4785.05534375
transcript.pyannote[650].speaker SPEAKER_13
transcript.pyannote[650].start 4787.63721875
transcript.pyannote[650].end 4788.12659375
transcript.pyannote[651].speaker SPEAKER_13
transcript.pyannote[651].start 4789.15596875
transcript.pyannote[651].end 4789.64534375
transcript.pyannote[652].speaker SPEAKER_13
transcript.pyannote[652].start 4789.93221875
transcript.pyannote[652].end 4791.70409375
transcript.pyannote[653].speaker SPEAKER_13
transcript.pyannote[653].start 4792.49721875
transcript.pyannote[653].end 4792.98659375
transcript.pyannote[654].speaker SPEAKER_13
transcript.pyannote[654].start 4795.50096875
transcript.pyannote[654].end 4798.08284375
transcript.pyannote[655].speaker SPEAKER_13
transcript.pyannote[655].start 4798.42034375
transcript.pyannote[655].end 4799.65221875
transcript.pyannote[656].speaker SPEAKER_13
transcript.pyannote[656].start 4799.98971875
transcript.pyannote[656].end 4800.61409375
transcript.pyannote[657].speaker SPEAKER_13
transcript.pyannote[657].start 4801.27221875
transcript.pyannote[657].end 4801.87971875
transcript.pyannote[658].speaker SPEAKER_13
transcript.pyannote[658].start 4802.63909375
transcript.pyannote[658].end 4803.24659375
transcript.pyannote[659].speaker SPEAKER_13
transcript.pyannote[659].start 4803.65159375
transcript.pyannote[659].end 4804.39409375
transcript.pyannote[660].speaker SPEAKER_13
transcript.pyannote[660].start 4804.66409375
transcript.pyannote[660].end 4805.54159375
transcript.pyannote[661].speaker SPEAKER_13
transcript.pyannote[661].start 4805.77784375
transcript.pyannote[661].end 4808.83221875
transcript.pyannote[662].speaker SPEAKER_13
transcript.pyannote[662].start 4809.03471875
transcript.pyannote[662].end 4813.32096875
transcript.pyannote[663].speaker SPEAKER_13
transcript.pyannote[663].start 4813.69221875
transcript.pyannote[663].end 4814.11409375
transcript.pyannote[664].speaker SPEAKER_13
transcript.pyannote[664].start 4814.83971875
transcript.pyannote[664].end 4820.42534375
transcript.pyannote[665].speaker SPEAKER_13
transcript.pyannote[665].start 4821.10034375
transcript.pyannote[665].end 4821.53909375
transcript.pyannote[666].speaker SPEAKER_13
transcript.pyannote[666].start 4821.97784375
transcript.pyannote[666].end 4823.76659375
transcript.pyannote[667].speaker SPEAKER_13
transcript.pyannote[667].start 4824.23909375
transcript.pyannote[667].end 4825.35284375
transcript.pyannote[668].speaker SPEAKER_13
transcript.pyannote[668].start 4826.04471875
transcript.pyannote[668].end 4826.77034375
transcript.pyannote[669].speaker SPEAKER_13
transcript.pyannote[669].start 4826.98971875
transcript.pyannote[669].end 4829.30159375
transcript.pyannote[670].speaker SPEAKER_13
transcript.pyannote[670].start 4829.97659375
transcript.pyannote[670].end 4830.87096875
transcript.pyannote[671].speaker SPEAKER_13
transcript.pyannote[671].start 4831.27596875
transcript.pyannote[671].end 4831.84971875
transcript.pyannote[672].speaker SPEAKER_13
transcript.pyannote[672].start 4832.45721875
transcript.pyannote[672].end 4833.09846875
transcript.pyannote[673].speaker SPEAKER_13
transcript.pyannote[673].start 4833.52034375
transcript.pyannote[673].end 4834.38096875
transcript.pyannote[674].speaker SPEAKER_13
transcript.pyannote[674].start 4835.14034375
transcript.pyannote[674].end 4841.82284375
transcript.pyannote[675].speaker SPEAKER_13
transcript.pyannote[675].start 4842.10971875
transcript.pyannote[675].end 4856.48721875
transcript.pyannote[676].speaker SPEAKER_13
transcript.pyannote[676].start 4856.67284375
transcript.pyannote[676].end 4859.57534375
transcript.pyannote[677].speaker SPEAKER_13
transcript.pyannote[677].start 4860.23346875
transcript.pyannote[677].end 4866.54471875
transcript.pyannote[678].speaker SPEAKER_13
transcript.pyannote[678].start 4867.27034375
transcript.pyannote[678].end 4871.53971875
transcript.pyannote[679].speaker SPEAKER_13
transcript.pyannote[679].start 4871.80971875
transcript.pyannote[679].end 4872.45096875
transcript.pyannote[680].speaker SPEAKER_13
transcript.pyannote[680].start 4872.82221875
transcript.pyannote[680].end 4873.22721875
transcript.pyannote[681].speaker SPEAKER_13
transcript.pyannote[681].start 4873.31159375
transcript.pyannote[681].end 4875.33659375
transcript.pyannote[682].speaker SPEAKER_13
transcript.pyannote[682].start 4876.34909375
transcript.pyannote[682].end 4877.53034375
transcript.pyannote[683].speaker SPEAKER_13
transcript.pyannote[683].start 4878.34034375
transcript.pyannote[683].end 4878.71159375
transcript.pyannote[684].speaker SPEAKER_13
transcript.pyannote[684].start 4879.40346875
transcript.pyannote[684].end 4879.43721875
transcript.pyannote[685].speaker SPEAKER_13
transcript.pyannote[685].start 4879.94346875
transcript.pyannote[685].end 4880.24721875
transcript.pyannote[686].speaker SPEAKER_13
transcript.pyannote[686].start 4880.33159375
transcript.pyannote[686].end 4880.73659375
transcript.pyannote[687].speaker SPEAKER_13
transcript.pyannote[687].start 4881.15846875
transcript.pyannote[687].end 4882.72784375
transcript.pyannote[688].speaker SPEAKER_13
transcript.pyannote[688].start 4882.84596875
transcript.pyannote[688].end 4883.26784375
transcript.pyannote[689].speaker SPEAKER_13
transcript.pyannote[689].start 4883.84159375
transcript.pyannote[689].end 4884.36471875
transcript.pyannote[690].speaker SPEAKER_13
transcript.pyannote[690].start 4884.98909375
transcript.pyannote[690].end 4886.94659375
transcript.pyannote[691].speaker SPEAKER_13
transcript.pyannote[691].start 4886.96346875
transcript.pyannote[691].end 4886.98034375
transcript.pyannote[692].speaker SPEAKER_13
transcript.pyannote[692].start 4887.40221875
transcript.pyannote[692].end 4889.66346875
transcript.pyannote[693].speaker SPEAKER_13
transcript.pyannote[693].start 4891.01346875
transcript.pyannote[693].end 4894.69221875
transcript.pyannote[694].speaker SPEAKER_13
transcript.pyannote[694].start 4894.81034375
transcript.pyannote[694].end 4896.04221875
transcript.pyannote[695].speaker SPEAKER_13
transcript.pyannote[695].start 4897.52721875
transcript.pyannote[695].end 4902.58971875
transcript.pyannote[696].speaker SPEAKER_13
transcript.pyannote[696].start 4903.58534375
transcript.pyannote[696].end 4904.76659375
transcript.pyannote[697].speaker SPEAKER_13
transcript.pyannote[697].start 4904.93534375
transcript.pyannote[697].end 4906.40346875
transcript.pyannote[698].speaker SPEAKER_13
transcript.pyannote[698].start 4906.89284375
transcript.pyannote[698].end 4909.50846875
transcript.pyannote[699].speaker SPEAKER_13
transcript.pyannote[699].start 4909.89659375
transcript.pyannote[699].end 4912.25909375
transcript.pyannote[700].speaker SPEAKER_13
transcript.pyannote[700].start 4912.29284375
transcript.pyannote[700].end 4914.73971875
transcript.pyannote[701].speaker SPEAKER_13
transcript.pyannote[701].start 4915.06034375
transcript.pyannote[701].end 4916.69721875
transcript.pyannote[702].speaker SPEAKER_13
transcript.pyannote[702].start 4916.89971875
transcript.pyannote[702].end 4917.32159375
transcript.pyannote[703].speaker SPEAKER_13
transcript.pyannote[703].start 4918.33409375
transcript.pyannote[703].end 4921.35471875
transcript.pyannote[704].speaker SPEAKER_13
transcript.pyannote[704].start 4921.82721875
transcript.pyannote[704].end 4922.70471875
transcript.pyannote[705].speaker SPEAKER_13
transcript.pyannote[705].start 4923.37971875
transcript.pyannote[705].end 4924.29096875
transcript.pyannote[706].speaker SPEAKER_13
transcript.pyannote[706].start 4924.59471875
transcript.pyannote[706].end 4926.11346875
transcript.pyannote[707].speaker SPEAKER_13
transcript.pyannote[707].start 4926.51846875
transcript.pyannote[707].end 4927.68284375
transcript.pyannote[708].speaker SPEAKER_13
transcript.pyannote[708].start 4927.85159375
transcript.pyannote[708].end 4930.36596875
transcript.pyannote[709].speaker SPEAKER_13
transcript.pyannote[709].start 4930.93971875
transcript.pyannote[709].end 4931.78346875
transcript.pyannote[710].speaker SPEAKER_13
transcript.pyannote[710].start 4932.52596875
transcript.pyannote[710].end 4935.54659375
transcript.pyannote[711].speaker SPEAKER_13
transcript.pyannote[711].start 4935.91784375
transcript.pyannote[711].end 4936.35659375
transcript.pyannote[712].speaker SPEAKER_13
transcript.pyannote[712].start 4936.82909375
transcript.pyannote[712].end 4937.68971875
transcript.pyannote[713].speaker SPEAKER_13
transcript.pyannote[713].start 4937.97659375
transcript.pyannote[713].end 4938.71909375
transcript.pyannote[714].speaker SPEAKER_13
transcript.pyannote[714].start 4938.95534375
transcript.pyannote[714].end 4939.27596875
transcript.pyannote[715].speaker SPEAKER_13
transcript.pyannote[715].start 4939.84971875
transcript.pyannote[715].end 4941.43596875
transcript.pyannote[716].speaker SPEAKER_13
transcript.pyannote[716].start 4942.11096875
transcript.pyannote[716].end 4943.03909375
transcript.pyannote[717].speaker SPEAKER_13
transcript.pyannote[717].start 4944.37221875
transcript.pyannote[717].end 4945.36784375
transcript.pyannote[718].speaker SPEAKER_13
transcript.pyannote[718].start 4946.36346875
transcript.pyannote[718].end 4948.81034375
transcript.pyannote[719].speaker SPEAKER_13
transcript.pyannote[719].start 4949.36721875
transcript.pyannote[719].end 4951.12221875
transcript.pyannote[720].speaker SPEAKER_13
transcript.pyannote[720].start 4951.54409375
transcript.pyannote[720].end 4953.24846875
transcript.pyannote[721].speaker SPEAKER_13
transcript.pyannote[721].start 4953.82221875
transcript.pyannote[721].end 4954.19346875
transcript.pyannote[722].speaker SPEAKER_13
transcript.pyannote[722].start 4954.48034375
transcript.pyannote[722].end 4955.00346875
transcript.pyannote[723].speaker SPEAKER_13
transcript.pyannote[723].start 4955.54346875
transcript.pyannote[723].end 4956.89346875
transcript.pyannote[724].speaker SPEAKER_13
transcript.pyannote[724].start 4957.06221875
transcript.pyannote[724].end 4957.33221875
transcript.pyannote[725].speaker SPEAKER_13
transcript.pyannote[725].start 4957.68659375
transcript.pyannote[725].end 4959.74534375
transcript.pyannote[726].speaker SPEAKER_13
transcript.pyannote[726].start 4960.47096875
transcript.pyannote[726].end 4960.90971875
transcript.pyannote[727].speaker SPEAKER_13
transcript.pyannote[727].start 4962.49596875
transcript.pyannote[727].end 4964.60534375
transcript.pyannote[728].speaker SPEAKER_13
transcript.pyannote[728].start 4965.24659375
transcript.pyannote[728].end 4966.88346875
transcript.pyannote[729].speaker SPEAKER_13
transcript.pyannote[729].start 4967.59221875
transcript.pyannote[729].end 4969.24596875
transcript.pyannote[730].speaker SPEAKER_13
transcript.pyannote[730].start 4969.58346875
transcript.pyannote[730].end 4971.15284375
transcript.pyannote[731].speaker SPEAKER_13
transcript.pyannote[731].start 4971.64221875
transcript.pyannote[731].end 4979.97846875
transcript.pyannote[732].speaker SPEAKER_13
transcript.pyannote[732].start 4980.23159375
transcript.pyannote[732].end 4982.03721875
transcript.pyannote[733].speaker SPEAKER_13
transcript.pyannote[733].start 4982.10471875
transcript.pyannote[733].end 4983.55596875
transcript.pyannote[734].speaker SPEAKER_13
transcript.pyannote[734].start 4983.80909375
transcript.pyannote[734].end 4984.53471875
transcript.pyannote[735].speaker SPEAKER_13
transcript.pyannote[735].start 4985.81721875
transcript.pyannote[735].end 4986.66096875
transcript.pyannote[736].speaker SPEAKER_13
transcript.pyannote[736].start 4987.16721875
transcript.pyannote[736].end 4987.55534375
transcript.pyannote[737].speaker SPEAKER_13
transcript.pyannote[737].start 4988.04471875
transcript.pyannote[737].end 4988.77034375
transcript.pyannote[738].speaker SPEAKER_13
transcript.pyannote[738].start 4989.24284375
transcript.pyannote[738].end 4990.79534375
transcript.pyannote[739].speaker SPEAKER_13
transcript.pyannote[739].start 4991.23409375
transcript.pyannote[739].end 4993.71471875
transcript.pyannote[740].speaker SPEAKER_13
transcript.pyannote[740].start 4994.00159375
transcript.pyannote[740].end 5001.79784375
transcript.pyannote[741].speaker SPEAKER_13
transcript.pyannote[741].start 5002.33784375
transcript.pyannote[741].end 5003.28284375
transcript.pyannote[742].speaker SPEAKER_13
transcript.pyannote[742].start 5004.07596875
transcript.pyannote[742].end 5005.27409375
transcript.pyannote[743].speaker SPEAKER_13
transcript.pyannote[743].start 5005.62846875
transcript.pyannote[743].end 5007.65346875
transcript.pyannote[744].speaker SPEAKER_13
transcript.pyannote[744].start 5008.31159375
transcript.pyannote[744].end 5013.20534375
transcript.pyannote[745].speaker SPEAKER_13
transcript.pyannote[745].start 5013.74534375
transcript.pyannote[745].end 5016.12471875
transcript.pyannote[746].speaker SPEAKER_13
transcript.pyannote[746].start 5016.73221875
transcript.pyannote[746].end 5019.02721875
transcript.pyannote[747].speaker SPEAKER_13
transcript.pyannote[747].start 5019.48284375
transcript.pyannote[747].end 5022.70596875
transcript.pyannote[748].speaker SPEAKER_13
transcript.pyannote[748].start 5022.97596875
transcript.pyannote[748].end 5023.48221875
transcript.pyannote[749].speaker SPEAKER_13
transcript.pyannote[749].start 5024.14034375
transcript.pyannote[749].end 5025.15284375
transcript.pyannote[750].speaker SPEAKER_13
transcript.pyannote[750].start 5025.32159375
transcript.pyannote[750].end 5026.95846875
transcript.pyannote[751].speaker SPEAKER_13
transcript.pyannote[751].start 5027.19471875
transcript.pyannote[751].end 5028.27471875
transcript.pyannote[752].speaker SPEAKER_13
transcript.pyannote[752].start 5028.34221875
transcript.pyannote[752].end 5030.48534375
transcript.pyannote[753].speaker SPEAKER_13
transcript.pyannote[753].start 5030.89034375
transcript.pyannote[753].end 5032.07159375
transcript.pyannote[754].speaker SPEAKER_13
transcript.pyannote[754].start 5032.42596875
transcript.pyannote[754].end 5033.23596875
transcript.pyannote[755].speaker SPEAKER_13
transcript.pyannote[755].start 5033.37096875
transcript.pyannote[755].end 5033.96159375
transcript.pyannote[756].speaker SPEAKER_13
transcript.pyannote[756].start 5035.59846875
transcript.pyannote[756].end 5035.93596875
transcript.pyannote[757].speaker SPEAKER_13
transcript.pyannote[757].start 5036.22284375
transcript.pyannote[757].end 5037.30284375
transcript.pyannote[758].speaker SPEAKER_13
transcript.pyannote[758].start 5037.75846875
transcript.pyannote[758].end 5040.67784375
transcript.pyannote[759].speaker SPEAKER_13
transcript.pyannote[759].start 5040.93096875
transcript.pyannote[759].end 5041.69034375
transcript.pyannote[760].speaker SPEAKER_13
transcript.pyannote[760].start 5042.02784375
transcript.pyannote[760].end 5042.77034375
transcript.pyannote[761].speaker SPEAKER_13
transcript.pyannote[761].start 5043.15846875
transcript.pyannote[761].end 5043.79971875
transcript.pyannote[762].speaker SPEAKER_13
transcript.pyannote[762].start 5044.62659375
transcript.pyannote[762].end 5045.63909375
transcript.pyannote[763].speaker SPEAKER_13
transcript.pyannote[763].start 5045.74034375
transcript.pyannote[763].end 5046.68534375
transcript.pyannote[764].speaker SPEAKER_13
transcript.pyannote[764].start 5047.41096875
transcript.pyannote[764].end 5048.37284375
transcript.pyannote[765].speaker SPEAKER_13
transcript.pyannote[765].start 5048.87909375
transcript.pyannote[765].end 5049.87471875
transcript.pyannote[766].speaker SPEAKER_13
transcript.pyannote[766].start 5050.21221875
transcript.pyannote[766].end 5054.16096875
transcript.pyannote[767].speaker SPEAKER_13
transcript.pyannote[767].start 5054.70096875
transcript.pyannote[767].end 5056.16909375
transcript.pyannote[768].speaker SPEAKER_13
transcript.pyannote[768].start 5056.69221875
transcript.pyannote[768].end 5059.76346875
transcript.pyannote[769].speaker SPEAKER_13
transcript.pyannote[769].start 5060.33721875
transcript.pyannote[769].end 5062.00784375
transcript.pyannote[770].speaker SPEAKER_13
transcript.pyannote[770].start 5062.41284375
transcript.pyannote[770].end 5063.67846875
transcript.pyannote[771].speaker SPEAKER_13
transcript.pyannote[771].start 5064.11721875
transcript.pyannote[771].end 5069.12909375
transcript.pyannote[772].speaker SPEAKER_13
transcript.pyannote[772].start 5069.31471875
transcript.pyannote[772].end 5070.41159375
transcript.pyannote[773].speaker SPEAKER_13
transcript.pyannote[773].start 5070.71534375
transcript.pyannote[773].end 5076.85784375
transcript.pyannote[774].speaker SPEAKER_13
transcript.pyannote[774].start 5077.16159375
transcript.pyannote[774].end 5078.66346875
transcript.pyannote[775].speaker SPEAKER_13
transcript.pyannote[775].start 5079.22034375
transcript.pyannote[775].end 5081.61659375
transcript.pyannote[776].speaker SPEAKER_13
transcript.pyannote[776].start 5083.03409375
transcript.pyannote[776].end 5083.75971875
transcript.pyannote[777].speaker SPEAKER_13
transcript.pyannote[777].start 5085.05909375
transcript.pyannote[777].end 5085.78471875
transcript.pyannote[778].speaker SPEAKER_13
transcript.pyannote[778].start 5086.25721875
transcript.pyannote[778].end 5088.02909375
transcript.pyannote[779].speaker SPEAKER_13
transcript.pyannote[779].start 5088.26534375
transcript.pyannote[779].end 5088.67034375
transcript.pyannote[780].speaker SPEAKER_13
transcript.pyannote[780].start 5088.92346875
transcript.pyannote[780].end 5089.98659375
transcript.pyannote[781].speaker SPEAKER_13
transcript.pyannote[781].start 5090.59409375
transcript.pyannote[781].end 5090.91471875
transcript.pyannote[782].speaker SPEAKER_13
transcript.pyannote[782].start 5091.47159375
transcript.pyannote[782].end 5093.29409375
transcript.pyannote[783].speaker SPEAKER_13
transcript.pyannote[783].start 5093.58096875
transcript.pyannote[783].end 5095.62284375
transcript.pyannote[784].speaker SPEAKER_13
transcript.pyannote[784].start 5096.34846875
transcript.pyannote[784].end 5097.88409375
transcript.pyannote[785].speaker SPEAKER_13
transcript.pyannote[785].start 5098.27221875
transcript.pyannote[785].end 5099.65596875
transcript.pyannote[786].speaker SPEAKER_13
transcript.pyannote[786].start 5100.22971875
transcript.pyannote[786].end 5100.56721875
transcript.pyannote[787].speaker SPEAKER_13
transcript.pyannote[787].start 5101.19159375
transcript.pyannote[787].end 5103.30096875
transcript.pyannote[788].speaker SPEAKER_13
transcript.pyannote[788].start 5104.09409375
transcript.pyannote[788].end 5106.00096875
transcript.pyannote[789].speaker SPEAKER_13
transcript.pyannote[789].start 5106.42284375
transcript.pyannote[789].end 5106.84471875
transcript.pyannote[790].speaker SPEAKER_13
transcript.pyannote[790].start 5107.21596875
transcript.pyannote[790].end 5108.48159375
transcript.pyannote[791].speaker SPEAKER_13
transcript.pyannote[791].start 5108.73471875
transcript.pyannote[791].end 5110.20284375
transcript.pyannote[792].speaker SPEAKER_13
transcript.pyannote[792].start 5110.84409375
transcript.pyannote[792].end 5112.95346875
transcript.pyannote[793].speaker SPEAKER_13
transcript.pyannote[793].start 5114.10096875
transcript.pyannote[793].end 5115.68721875
transcript.pyannote[794].speaker SPEAKER_13
transcript.pyannote[794].start 5116.17659375
transcript.pyannote[794].end 5117.69534375
transcript.pyannote[795].speaker SPEAKER_13
transcript.pyannote[795].start 5118.21846875
transcript.pyannote[795].end 5118.97784375
transcript.pyannote[796].speaker SPEAKER_13
transcript.pyannote[796].start 5119.23096875
transcript.pyannote[796].end 5121.71159375
transcript.pyannote[797].speaker SPEAKER_13
transcript.pyannote[797].start 5122.30221875
transcript.pyannote[797].end 5123.55096875
transcript.pyannote[798].speaker SPEAKER_13
transcript.pyannote[798].start 5123.63534375
transcript.pyannote[798].end 5128.22534375
transcript.pyannote[799].speaker SPEAKER_13
transcript.pyannote[799].start 5128.69784375
transcript.pyannote[799].end 5130.53721875
transcript.pyannote[800].speaker SPEAKER_13
transcript.pyannote[800].start 5131.68471875
transcript.pyannote[800].end 5133.37221875
transcript.pyannote[801].speaker SPEAKER_13
transcript.pyannote[801].start 5134.01346875
transcript.pyannote[801].end 5135.76846875
transcript.pyannote[802].speaker SPEAKER_13
transcript.pyannote[802].start 5136.67971875
transcript.pyannote[802].end 5139.97034375
transcript.pyannote[803].speaker SPEAKER_13
transcript.pyannote[803].start 5140.34159375
transcript.pyannote[803].end 5141.48909375
transcript.pyannote[804].speaker SPEAKER_13
transcript.pyannote[804].start 5142.04596875
transcript.pyannote[804].end 5142.87284375
transcript.pyannote[805].speaker SPEAKER_13
transcript.pyannote[805].start 5143.39596875
transcript.pyannote[805].end 5143.85159375
transcript.pyannote[806].speaker SPEAKER_13
transcript.pyannote[806].start 5144.39159375
transcript.pyannote[806].end 5147.29409375
transcript.pyannote[807].speaker SPEAKER_13
transcript.pyannote[807].start 5147.66534375
transcript.pyannote[807].end 5148.99846875
transcript.pyannote[808].speaker SPEAKER_13
transcript.pyannote[808].start 5149.35284375
transcript.pyannote[808].end 5151.10784375
transcript.pyannote[809].speaker SPEAKER_13
transcript.pyannote[809].start 5151.17534375
transcript.pyannote[809].end 5152.42409375
transcript.pyannote[810].speaker SPEAKER_13
transcript.pyannote[810].start 5152.86284375
transcript.pyannote[810].end 5155.14096875
transcript.pyannote[811].speaker SPEAKER_13
transcript.pyannote[811].start 5155.63034375
transcript.pyannote[811].end 5159.34284375
transcript.pyannote[812].speaker SPEAKER_13
transcript.pyannote[812].start 5159.76471875
transcript.pyannote[812].end 5160.67596875
transcript.pyannote[813].speaker SPEAKER_13
transcript.pyannote[813].start 5161.01346875
transcript.pyannote[813].end 5162.16096875
transcript.pyannote[814].speaker SPEAKER_13
transcript.pyannote[814].start 5162.56596875
transcript.pyannote[814].end 5168.26971875
transcript.pyannote[815].speaker SPEAKER_13
transcript.pyannote[815].start 5168.75909375
transcript.pyannote[815].end 5176.23471875
transcript.pyannote[816].speaker SPEAKER_13
transcript.pyannote[816].start 5177.60159375
transcript.pyannote[816].end 5178.41159375
transcript.pyannote[817].speaker SPEAKER_13
transcript.pyannote[817].start 5178.96846875
transcript.pyannote[817].end 5183.11971875
transcript.pyannote[818].speaker SPEAKER_13
transcript.pyannote[818].start 5183.54159375
transcript.pyannote[818].end 5186.22471875
transcript.pyannote[819].speaker SPEAKER_13
transcript.pyannote[819].start 5186.54534375
transcript.pyannote[819].end 5187.52409375
transcript.pyannote[820].speaker SPEAKER_13
transcript.pyannote[820].start 5188.30034375
transcript.pyannote[820].end 5189.00909375
transcript.pyannote[821].speaker SPEAKER_13
transcript.pyannote[821].start 5189.34659375
transcript.pyannote[821].end 5190.83159375
transcript.pyannote[822].speaker SPEAKER_13
transcript.pyannote[822].start 5191.11846875
transcript.pyannote[822].end 5191.84409375
transcript.pyannote[823].speaker SPEAKER_13
transcript.pyannote[823].start 5192.26596875
transcript.pyannote[823].end 5192.65409375
transcript.pyannote[824].speaker SPEAKER_13
transcript.pyannote[824].start 5193.19409375
transcript.pyannote[824].end 5194.52721875
transcript.pyannote[825].speaker SPEAKER_13
transcript.pyannote[825].start 5194.62846875
transcript.pyannote[825].end 5195.67471875
transcript.pyannote[826].speaker SPEAKER_13
transcript.pyannote[826].start 5195.97846875
transcript.pyannote[826].end 5198.34096875
transcript.pyannote[827].speaker SPEAKER_13
transcript.pyannote[827].start 5198.66159375
transcript.pyannote[827].end 5200.68659375
transcript.pyannote[828].speaker SPEAKER_13
transcript.pyannote[828].start 5200.77096875
transcript.pyannote[828].end 5201.31096875
transcript.pyannote[829].speaker SPEAKER_13
transcript.pyannote[829].start 5201.59784375
transcript.pyannote[829].end 5202.32346875
transcript.pyannote[830].speaker SPEAKER_13
transcript.pyannote[830].start 5202.89721875
transcript.pyannote[830].end 5203.31909375
transcript.pyannote[831].speaker SPEAKER_13
transcript.pyannote[831].start 5203.84221875
transcript.pyannote[831].end 5204.19659375
transcript.pyannote[832].speaker SPEAKER_13
transcript.pyannote[832].start 5204.43284375
transcript.pyannote[832].end 5205.54659375
transcript.pyannote[833].speaker SPEAKER_13
transcript.pyannote[833].start 5205.64784375
transcript.pyannote[833].end 5206.18784375
transcript.pyannote[834].speaker SPEAKER_13
transcript.pyannote[834].start 5206.42409375
transcript.pyannote[834].end 5207.60534375
transcript.pyannote[835].speaker SPEAKER_13
transcript.pyannote[835].start 5207.89221875
transcript.pyannote[835].end 5209.00596875
transcript.pyannote[836].speaker SPEAKER_13
transcript.pyannote[836].start 5209.10721875
transcript.pyannote[836].end 5210.59221875
transcript.pyannote[837].speaker SPEAKER_13
transcript.pyannote[837].start 5210.82846875
transcript.pyannote[837].end 5211.67221875
transcript.pyannote[838].speaker SPEAKER_13
transcript.pyannote[838].start 5212.21221875
transcript.pyannote[838].end 5216.80221875
transcript.pyannote[839].speaker SPEAKER_13
transcript.pyannote[839].start 5217.20721875
transcript.pyannote[839].end 5217.67971875
transcript.pyannote[840].speaker SPEAKER_13
transcript.pyannote[840].start 5218.08471875
transcript.pyannote[840].end 5222.48909375
transcript.pyannote[841].speaker SPEAKER_13
transcript.pyannote[841].start 5223.09659375
transcript.pyannote[841].end 5226.33659375
transcript.pyannote[842].speaker SPEAKER_13
transcript.pyannote[842].start 5227.09596875
transcript.pyannote[842].end 5229.27284375
transcript.pyannote[843].speaker SPEAKER_13
transcript.pyannote[843].start 5229.86346875
transcript.pyannote[843].end 5230.89284375
transcript.pyannote[844].speaker SPEAKER_13
transcript.pyannote[844].start 5231.21346875
transcript.pyannote[844].end 5231.66909375
transcript.pyannote[845].speaker SPEAKER_13
transcript.pyannote[845].start 5232.09096875
transcript.pyannote[845].end 5238.82409375
transcript.pyannote[846].speaker SPEAKER_13
transcript.pyannote[846].start 5239.27971875
transcript.pyannote[846].end 5241.13596875
transcript.pyannote[847].speaker SPEAKER_13
transcript.pyannote[847].start 5241.50721875
transcript.pyannote[847].end 5243.44784375
transcript.pyannote[848].speaker SPEAKER_13
transcript.pyannote[848].start 5244.15659375
transcript.pyannote[848].end 5244.74721875
transcript.pyannote[849].speaker SPEAKER_13
transcript.pyannote[849].start 5245.30409375
transcript.pyannote[849].end 5251.41284375
transcript.pyannote[850].speaker SPEAKER_13
transcript.pyannote[850].start 5252.13846875
transcript.pyannote[850].end 5253.75846875
transcript.pyannote[851].speaker SPEAKER_13
transcript.pyannote[851].start 5254.11284375
transcript.pyannote[851].end 5257.18409375
transcript.pyannote[852].speaker SPEAKER_13
transcript.pyannote[852].start 5257.67346875
transcript.pyannote[852].end 5259.78284375
transcript.pyannote[853].speaker SPEAKER_13
transcript.pyannote[853].start 5260.18784375
transcript.pyannote[853].end 5262.14534375
transcript.pyannote[854].speaker SPEAKER_13
transcript.pyannote[854].start 5262.63471875
transcript.pyannote[854].end 5263.52909375
transcript.pyannote[855].speaker SPEAKER_13
transcript.pyannote[855].start 5264.13659375
transcript.pyannote[855].end 5265.21659375
transcript.pyannote[856].speaker SPEAKER_13
transcript.pyannote[856].start 5265.53721875
transcript.pyannote[856].end 5267.83221875
transcript.pyannote[857].speaker SPEAKER_13
transcript.pyannote[857].start 5268.32159375
transcript.pyannote[857].end 5272.64159375
transcript.pyannote[858].speaker SPEAKER_13
transcript.pyannote[858].start 5272.99596875
transcript.pyannote[858].end 5274.86909375
transcript.pyannote[859].speaker SPEAKER_13
transcript.pyannote[859].start 5275.15596875
transcript.pyannote[859].end 5275.52721875
transcript.pyannote[860].speaker SPEAKER_13
transcript.pyannote[860].start 5276.50596875
transcript.pyannote[860].end 5278.34534375
transcript.pyannote[861].speaker SPEAKER_13
transcript.pyannote[861].start 5279.05409375
transcript.pyannote[861].end 5282.44596875
transcript.pyannote[862].speaker SPEAKER_13
transcript.pyannote[862].start 5282.61471875
transcript.pyannote[862].end 5283.49221875
transcript.pyannote[863].speaker SPEAKER_13
transcript.pyannote[863].start 5284.03221875
transcript.pyannote[863].end 5285.65221875
transcript.pyannote[864].speaker SPEAKER_13
transcript.pyannote[864].start 5285.93909375
transcript.pyannote[864].end 5291.77784375
transcript.pyannote[865].speaker SPEAKER_13
transcript.pyannote[865].start 5291.96346875
transcript.pyannote[865].end 5292.72284375
transcript.pyannote[866].speaker SPEAKER_13
transcript.pyannote[866].start 5292.97596875
transcript.pyannote[866].end 5294.42721875
transcript.pyannote[867].speaker SPEAKER_13
transcript.pyannote[867].start 5294.59596875
transcript.pyannote[867].end 5295.03471875
transcript.pyannote[868].speaker SPEAKER_13
transcript.pyannote[868].start 5295.62534375
transcript.pyannote[868].end 5297.07659375
transcript.pyannote[869].speaker SPEAKER_13
transcript.pyannote[869].start 5297.98784375
transcript.pyannote[869].end 5304.46784375
transcript.pyannote[870].speaker SPEAKER_13
transcript.pyannote[870].start 5304.56909375
transcript.pyannote[870].end 5305.36221875
transcript.pyannote[871].speaker SPEAKER_13
transcript.pyannote[871].start 5305.81784375
transcript.pyannote[871].end 5306.44221875
transcript.pyannote[872].speaker SPEAKER_13
transcript.pyannote[872].start 5306.96534375
transcript.pyannote[872].end 5308.19721875
transcript.pyannote[873].speaker SPEAKER_13
transcript.pyannote[873].start 5308.85534375
transcript.pyannote[873].end 5309.54721875
transcript.pyannote[874].speaker SPEAKER_13
transcript.pyannote[874].start 5310.84659375
transcript.pyannote[874].end 5315.01471875
transcript.pyannote[875].speaker SPEAKER_13
transcript.pyannote[875].start 5315.47034375
transcript.pyannote[875].end 5323.51971875
transcript.pyannote[876].speaker SPEAKER_13
transcript.pyannote[876].start 5323.57034375
transcript.pyannote[876].end 5324.02596875
transcript.pyannote[877].speaker SPEAKER_13
transcript.pyannote[877].start 5324.21159375
transcript.pyannote[877].end 5325.39284375
transcript.pyannote[878].speaker SPEAKER_13
transcript.pyannote[878].start 5326.28721875
transcript.pyannote[878].end 5326.81034375
transcript.pyannote[879].speaker SPEAKER_13
transcript.pyannote[879].start 5327.65409375
transcript.pyannote[879].end 5328.19409375
transcript.pyannote[880].speaker SPEAKER_13
transcript.pyannote[880].start 5328.36284375
transcript.pyannote[880].end 5329.07159375
transcript.pyannote[881].speaker SPEAKER_13
transcript.pyannote[881].start 5329.27409375
transcript.pyannote[881].end 5329.83096875
transcript.pyannote[882].speaker SPEAKER_13
transcript.pyannote[882].start 5330.33721875
transcript.pyannote[882].end 5334.80909375
transcript.pyannote[883].speaker SPEAKER_13
transcript.pyannote[883].start 5335.12971875
transcript.pyannote[883].end 5335.48409375
transcript.pyannote[884].speaker SPEAKER_13
transcript.pyannote[884].start 5335.97346875
transcript.pyannote[884].end 5336.44596875
transcript.pyannote[885].speaker SPEAKER_13
transcript.pyannote[885].start 5336.66534375
transcript.pyannote[885].end 5338.87596875
transcript.pyannote[886].speaker SPEAKER_13
transcript.pyannote[886].start 5339.09534375
transcript.pyannote[886].end 5343.68534375
transcript.pyannote[887].speaker SPEAKER_13
transcript.pyannote[887].start 5344.17471875
transcript.pyannote[887].end 5345.52471875
transcript.pyannote[888].speaker SPEAKER_13
transcript.pyannote[888].start 5346.11534375
transcript.pyannote[888].end 5352.32534375
transcript.pyannote[889].speaker SPEAKER_13
transcript.pyannote[889].start 5352.34221875
transcript.pyannote[889].end 5353.06784375
transcript.pyannote[890].speaker SPEAKER_13
transcript.pyannote[890].start 5353.18596875
transcript.pyannote[890].end 5354.08034375
transcript.pyannote[891].speaker SPEAKER_13
transcript.pyannote[891].start 5354.75534375
transcript.pyannote[891].end 5355.68346875
transcript.pyannote[892].speaker SPEAKER_13
transcript.pyannote[892].start 5355.93659375
transcript.pyannote[892].end 5357.32034375
transcript.pyannote[893].speaker SPEAKER_13
transcript.pyannote[893].start 5357.47221875
transcript.pyannote[893].end 5362.14659375
transcript.pyannote[894].speaker SPEAKER_13
transcript.pyannote[894].start 5362.19721875
transcript.pyannote[894].end 5363.07471875
transcript.pyannote[895].speaker SPEAKER_13
transcript.pyannote[895].start 5363.47971875
transcript.pyannote[895].end 5363.90159375
transcript.pyannote[896].speaker SPEAKER_13
transcript.pyannote[896].start 5364.25596875
transcript.pyannote[896].end 5365.84221875
transcript.pyannote[897].speaker SPEAKER_13
transcript.pyannote[897].start 5366.43284375
transcript.pyannote[897].end 5377.55346875
transcript.pyannote[898].speaker SPEAKER_13
transcript.pyannote[898].start 5377.80659375
transcript.pyannote[898].end 5379.44346875
transcript.pyannote[899].speaker SPEAKER_13
transcript.pyannote[899].start 5379.96659375
transcript.pyannote[899].end 5381.89034375
transcript.pyannote[900].speaker SPEAKER_13
transcript.pyannote[900].start 5382.29534375
transcript.pyannote[900].end 5383.69596875
transcript.pyannote[901].speaker SPEAKER_13
transcript.pyannote[901].start 5383.78034375
transcript.pyannote[901].end 5384.92784375
transcript.pyannote[902].speaker SPEAKER_13
transcript.pyannote[902].start 5385.04596875
transcript.pyannote[902].end 5386.07534375
transcript.pyannote[903].speaker SPEAKER_13
transcript.pyannote[903].start 5386.75034375
transcript.pyannote[903].end 5387.32409375
transcript.pyannote[904].speaker SPEAKER_13
transcript.pyannote[904].start 5387.66159375
transcript.pyannote[904].end 5388.50534375
transcript.pyannote[905].speaker SPEAKER_13
transcript.pyannote[905].start 5389.04534375
transcript.pyannote[905].end 5389.78784375
transcript.pyannote[906].speaker SPEAKER_13
transcript.pyannote[906].start 5389.88909375
transcript.pyannote[906].end 5390.31096875
transcript.pyannote[907].speaker SPEAKER_13
transcript.pyannote[907].start 5390.85096875
transcript.pyannote[907].end 5405.48159375
transcript.pyannote[908].speaker SPEAKER_13
transcript.pyannote[908].start 5406.19034375
transcript.pyannote[908].end 5406.34221875
transcript.pyannote[909].speaker SPEAKER_13
transcript.pyannote[909].start 5406.84846875
transcript.pyannote[909].end 5411.72534375
transcript.pyannote[910].speaker SPEAKER_13
transcript.pyannote[910].start 5412.16409375
transcript.pyannote[910].end 5423.47034375
transcript.pyannote[911].speaker SPEAKER_13
transcript.pyannote[911].start 5423.87534375
transcript.pyannote[911].end 5425.61346875
transcript.pyannote[912].speaker SPEAKER_13
transcript.pyannote[912].start 5426.17034375
transcript.pyannote[912].end 5429.34284375
transcript.pyannote[913].speaker SPEAKER_13
transcript.pyannote[913].start 5429.71409375
transcript.pyannote[913].end 5433.98346875
transcript.pyannote[914].speaker SPEAKER_13
transcript.pyannote[914].start 5434.10159375
transcript.pyannote[914].end 5434.59096875
transcript.pyannote[915].speaker SPEAKER_13
transcript.pyannote[915].start 5435.11409375
transcript.pyannote[915].end 5435.55284375
transcript.pyannote[916].speaker SPEAKER_13
transcript.pyannote[916].start 5436.27846875
transcript.pyannote[916].end 5436.97034375
transcript.pyannote[917].speaker SPEAKER_13
transcript.pyannote[917].start 5437.94909375
transcript.pyannote[917].end 5440.31159375
transcript.pyannote[918].speaker SPEAKER_13
transcript.pyannote[918].start 5440.58159375
transcript.pyannote[918].end 5442.80909375
transcript.pyannote[919].speaker SPEAKER_13
transcript.pyannote[919].start 5443.60221875
transcript.pyannote[919].end 5444.41221875
transcript.pyannote[920].speaker SPEAKER_13
transcript.pyannote[920].start 5444.90159375
transcript.pyannote[920].end 5446.75784375
transcript.pyannote[921].speaker SPEAKER_13
transcript.pyannote[921].start 5447.26409375
transcript.pyannote[921].end 5449.71096875
transcript.pyannote[922].speaker SPEAKER_13
transcript.pyannote[922].start 5449.93034375
transcript.pyannote[922].end 5450.79096875
transcript.pyannote[923].speaker SPEAKER_13
transcript.pyannote[923].start 5451.28034375
transcript.pyannote[923].end 5452.27596875
transcript.pyannote[924].speaker SPEAKER_13
transcript.pyannote[924].start 5452.56284375
transcript.pyannote[924].end 5454.70596875
transcript.pyannote[925].speaker SPEAKER_13
transcript.pyannote[925].start 5454.87471875
transcript.pyannote[925].end 5469.55596875
transcript.pyannote[926].speaker SPEAKER_13
transcript.pyannote[926].start 5470.12971875
transcript.pyannote[926].end 5473.03221875
transcript.pyannote[927].speaker SPEAKER_13
transcript.pyannote[927].start 5473.21784375
transcript.pyannote[927].end 5474.87159375
transcript.pyannote[928].speaker SPEAKER_13
transcript.pyannote[928].start 5475.14159375
transcript.pyannote[928].end 5476.93034375
transcript.pyannote[929].speaker SPEAKER_13
transcript.pyannote[929].start 5477.36909375
transcript.pyannote[929].end 5479.15784375
transcript.pyannote[930].speaker SPEAKER_13
transcript.pyannote[930].start 5480.01846875
transcript.pyannote[930].end 5480.72721875
transcript.pyannote[931].speaker SPEAKER_13
transcript.pyannote[931].start 5481.09846875
transcript.pyannote[931].end 5481.99284375
transcript.pyannote[932].speaker SPEAKER_13
transcript.pyannote[932].start 5482.75221875
transcript.pyannote[932].end 5484.18659375
transcript.pyannote[933].speaker SPEAKER_13
transcript.pyannote[933].start 5484.74346875
transcript.pyannote[933].end 5486.27909375
transcript.pyannote[934].speaker SPEAKER_13
transcript.pyannote[934].start 5486.63346875
transcript.pyannote[934].end 5487.76409375
transcript.pyannote[935].speaker SPEAKER_13
transcript.pyannote[935].start 5488.32096875
transcript.pyannote[935].end 5488.96221875
transcript.pyannote[936].speaker SPEAKER_13
transcript.pyannote[936].start 5489.36721875
transcript.pyannote[936].end 5490.21096875
transcript.pyannote[937].speaker SPEAKER_13
transcript.pyannote[937].start 5490.48096875
transcript.pyannote[937].end 5491.03784375
transcript.pyannote[938].speaker SPEAKER_13
transcript.pyannote[938].start 5491.44284375
transcript.pyannote[938].end 5491.84784375
transcript.pyannote[939].speaker SPEAKER_13
transcript.pyannote[939].start 5493.28221875
transcript.pyannote[939].end 5494.19346875
transcript.pyannote[940].speaker SPEAKER_25
transcript.pyannote[940].start 5494.19346875
transcript.pyannote[940].end 5495.03721875
transcript.pyannote[941].speaker SPEAKER_13
transcript.pyannote[941].start 5495.03721875
transcript.pyannote[941].end 5496.33659375
transcript.pyannote[942].speaker SPEAKER_13
transcript.pyannote[942].start 5496.65721875
transcript.pyannote[942].end 5497.48409375
transcript.pyannote[943].speaker SPEAKER_13
transcript.pyannote[943].start 5498.61471875
transcript.pyannote[943].end 5499.07034375
transcript.pyannote[944].speaker SPEAKER_13
transcript.pyannote[944].start 5499.69471875
transcript.pyannote[944].end 5500.30221875
transcript.pyannote[945].speaker SPEAKER_13
transcript.pyannote[945].start 5501.29784375
transcript.pyannote[945].end 5502.12471875
transcript.pyannote[946].speaker SPEAKER_13
transcript.pyannote[946].start 5503.05284375
transcript.pyannote[946].end 5506.24221875
transcript.pyannote[947].speaker SPEAKER_13
transcript.pyannote[947].start 5506.96784375
transcript.pyannote[947].end 5508.08159375
transcript.pyannote[948].speaker SPEAKER_13
transcript.pyannote[948].start 5509.71846875
transcript.pyannote[948].end 5510.89971875
transcript.pyannote[949].speaker SPEAKER_13
transcript.pyannote[949].start 5511.96284375
transcript.pyannote[949].end 5513.12721875
transcript.pyannote[950].speaker SPEAKER_13
transcript.pyannote[950].start 5513.56596875
transcript.pyannote[950].end 5514.44346875
transcript.pyannote[951].speaker SPEAKER_13
transcript.pyannote[951].start 5514.84846875
transcript.pyannote[951].end 5515.57409375
transcript.pyannote[952].speaker SPEAKER_13
transcript.pyannote[952].start 5515.84409375
transcript.pyannote[952].end 5517.76784375
transcript.pyannote[953].speaker SPEAKER_13
transcript.pyannote[953].start 5518.25721875
transcript.pyannote[953].end 5520.01221875
transcript.pyannote[954].speaker SPEAKER_13
transcript.pyannote[954].start 5520.29909375
transcript.pyannote[954].end 5521.51409375
transcript.pyannote[955].speaker SPEAKER_13
transcript.pyannote[955].start 5522.17221875
transcript.pyannote[955].end 5522.66159375
transcript.pyannote[956].speaker SPEAKER_13
transcript.pyannote[956].start 5522.96534375
transcript.pyannote[956].end 5524.29846875
transcript.pyannote[957].speaker SPEAKER_13
transcript.pyannote[957].start 5524.38284375
transcript.pyannote[957].end 5524.77096875
transcript.pyannote[958].speaker SPEAKER_13
transcript.pyannote[958].start 5525.93534375
transcript.pyannote[958].end 5526.30659375
transcript.pyannote[959].speaker SPEAKER_13
transcript.pyannote[959].start 5526.61034375
transcript.pyannote[959].end 5529.32721875
transcript.pyannote[960].speaker SPEAKER_13
transcript.pyannote[960].start 5529.54659375
transcript.pyannote[960].end 5532.31409375
transcript.pyannote[961].speaker SPEAKER_13
transcript.pyannote[961].start 5533.32659375
transcript.pyannote[961].end 5535.43596875
transcript.pyannote[962].speaker SPEAKER_13
transcript.pyannote[962].start 5536.17846875
transcript.pyannote[962].end 5537.00534375
transcript.pyannote[963].speaker SPEAKER_13
transcript.pyannote[963].start 5537.51159375
transcript.pyannote[963].end 5539.09784375
transcript.pyannote[964].speaker SPEAKER_13
transcript.pyannote[964].start 5539.62096875
transcript.pyannote[964].end 5543.45159375
transcript.pyannote[965].speaker SPEAKER_13
transcript.pyannote[965].start 5545.10534375
transcript.pyannote[965].end 5549.17221875
transcript.pyannote[966].speaker SPEAKER_13
transcript.pyannote[966].start 5549.25659375
transcript.pyannote[966].end 5555.53409375
transcript.pyannote[967].speaker SPEAKER_13
transcript.pyannote[967].start 5555.73659375
transcript.pyannote[967].end 5558.06534375
transcript.pyannote[968].speaker SPEAKER_13
transcript.pyannote[968].start 5558.65596875
transcript.pyannote[968].end 5562.33471875
transcript.pyannote[969].speaker SPEAKER_13
transcript.pyannote[969].start 5562.43596875
transcript.pyannote[969].end 5563.65096875
transcript.pyannote[970].speaker SPEAKER_13
transcript.pyannote[970].start 5563.87034375
transcript.pyannote[970].end 5579.10846875
transcript.pyannote[971].speaker SPEAKER_13
transcript.pyannote[971].start 5579.29409375
transcript.pyannote[971].end 5579.74971875
transcript.pyannote[972].speaker SPEAKER_25
transcript.pyannote[972].start 5580.47534375
transcript.pyannote[972].end 5581.85909375
transcript.pyannote[973].speaker SPEAKER_25
transcript.pyannote[973].start 5582.14596875
transcript.pyannote[973].end 5584.06971875
transcript.pyannote[974].speaker SPEAKER_07
transcript.pyannote[974].start 5592.92909375
transcript.pyannote[974].end 5629.26096875
transcript.pyannote[975].speaker SPEAKER_07
transcript.pyannote[975].start 5629.49721875
transcript.pyannote[975].end 5630.91471875
transcript.pyannote[976].speaker SPEAKER_07
transcript.pyannote[976].start 5631.40409375
transcript.pyannote[976].end 5637.83346875
transcript.pyannote[977].speaker SPEAKER_07
transcript.pyannote[977].start 5639.06534375
transcript.pyannote[977].end 5643.01409375
transcript.pyannote[978].speaker SPEAKER_07
transcript.pyannote[978].start 5643.45284375
transcript.pyannote[978].end 5653.02096875
transcript.pyannote[979].speaker SPEAKER_07
transcript.pyannote[979].start 5653.13909375
transcript.pyannote[979].end 5655.41721875
transcript.pyannote[980].speaker SPEAKER_07
transcript.pyannote[980].start 5656.29471875
transcript.pyannote[980].end 5676.56159375
transcript.pyannote[981].speaker SPEAKER_07
transcript.pyannote[981].start 5676.83159375
transcript.pyannote[981].end 5690.70284375
transcript.pyannote[982].speaker SPEAKER_07
transcript.pyannote[982].start 5690.95596875
transcript.pyannote[982].end 5705.67096875
transcript.pyannote[983].speaker SPEAKER_07
transcript.pyannote[983].start 5706.68346875
transcript.pyannote[983].end 5716.75784375
transcript.pyannote[984].speaker SPEAKER_07
transcript.pyannote[984].start 5717.51721875
transcript.pyannote[984].end 5720.80784375
transcript.pyannote[985].speaker SPEAKER_07
transcript.pyannote[985].start 5721.48284375
transcript.pyannote[985].end 5721.85409375
transcript.pyannote[986].speaker SPEAKER_07
transcript.pyannote[986].start 5722.14096875
transcript.pyannote[986].end 5746.32284375
transcript.pyannote[987].speaker SPEAKER_07
transcript.pyannote[987].start 5746.45784375
transcript.pyannote[987].end 5783.81909375
transcript.pyannote[988].speaker SPEAKER_07
transcript.pyannote[988].start 5784.07221875
transcript.pyannote[988].end 5801.03159375
transcript.pyannote[989].speaker SPEAKER_07
transcript.pyannote[989].start 5801.68971875
transcript.pyannote[989].end 5821.02846875
transcript.pyannote[990].speaker SPEAKER_07
transcript.pyannote[990].start 5821.18034375
transcript.pyannote[990].end 5823.99846875
transcript.pyannote[991].speaker SPEAKER_07
transcript.pyannote[991].start 5824.43721875
transcript.pyannote[991].end 5825.83784375
transcript.pyannote[992].speaker SPEAKER_07
transcript.pyannote[992].start 5826.02346875
transcript.pyannote[992].end 5827.49159375
transcript.pyannote[993].speaker SPEAKER_07
transcript.pyannote[993].start 5827.99784375
transcript.pyannote[993].end 5829.71909375
transcript.pyannote[994].speaker SPEAKER_07
transcript.pyannote[994].start 5830.17471875
transcript.pyannote[994].end 5830.79909375
transcript.pyannote[995].speaker SPEAKER_07
transcript.pyannote[995].start 5831.23784375
transcript.pyannote[995].end 5833.11096875
transcript.pyannote[996].speaker SPEAKER_07
transcript.pyannote[996].start 5833.38096875
transcript.pyannote[996].end 5836.50284375
transcript.pyannote[997].speaker SPEAKER_07
transcript.pyannote[997].start 5837.56596875
transcript.pyannote[997].end 5840.90721875
transcript.pyannote[998].speaker SPEAKER_07
transcript.pyannote[998].start 5841.56534375
transcript.pyannote[998].end 5846.32409375
transcript.pyannote[999].speaker SPEAKER_07
transcript.pyannote[999].start 5846.72909375
transcript.pyannote[999].end 5849.12534375
transcript.pyannote[1000].speaker SPEAKER_07
transcript.pyannote[1000].start 5849.80034375
transcript.pyannote[1000].end 5850.44159375
transcript.pyannote[1001].speaker SPEAKER_07
transcript.pyannote[1001].start 5850.88034375
transcript.pyannote[1001].end 5853.37784375
transcript.pyannote[1002].speaker SPEAKER_07
transcript.pyannote[1002].start 5854.32284375
transcript.pyannote[1002].end 5877.07034375
transcript.pyannote[1003].speaker SPEAKER_07
transcript.pyannote[1003].start 5877.71159375
transcript.pyannote[1003].end 5881.57596875
transcript.pyannote[1004].speaker SPEAKER_07
transcript.pyannote[1004].start 5882.09909375
transcript.pyannote[1004].end 5886.89159375
transcript.pyannote[1005].speaker SPEAKER_07
transcript.pyannote[1005].start 5887.33034375
transcript.pyannote[1005].end 5891.44784375
transcript.pyannote[1006].speaker SPEAKER_07
transcript.pyannote[1006].start 5892.52784375
transcript.pyannote[1006].end 5892.71346875
transcript.pyannote[1007].speaker SPEAKER_07
transcript.pyannote[1007].start 5893.50659375
transcript.pyannote[1007].end 5910.46596875
transcript.pyannote[1008].speaker SPEAKER_07
transcript.pyannote[1008].start 5910.80346875
transcript.pyannote[1008].end 5917.84034375
transcript.pyannote[1009].speaker SPEAKER_07
transcript.pyannote[1009].start 5918.12721875
transcript.pyannote[1009].end 5918.76846875
transcript.pyannote[1010].speaker SPEAKER_07
transcript.pyannote[1010].start 5918.95409375
transcript.pyannote[1010].end 5948.87346875
transcript.pyannote[1011].speaker SPEAKER_07
transcript.pyannote[1011].start 5949.43034375
transcript.pyannote[1011].end 5951.32034375
transcript.pyannote[1012].speaker SPEAKER_07
transcript.pyannote[1012].start 5951.77596875
transcript.pyannote[1012].end 5956.36596875
transcript.pyannote[1013].speaker SPEAKER_07
transcript.pyannote[1013].start 5956.97346875
transcript.pyannote[1013].end 5958.23909375
transcript.pyannote[1014].speaker SPEAKER_07
transcript.pyannote[1014].start 5959.08284375
transcript.pyannote[1014].end 5962.91346875
transcript.pyannote[1015].speaker SPEAKER_07
transcript.pyannote[1015].start 5963.25096875
transcript.pyannote[1015].end 5984.17596875
transcript.pyannote[1016].speaker SPEAKER_07
transcript.pyannote[1016].start 5984.53034375
transcript.pyannote[1016].end 5986.72409375
transcript.pyannote[1017].speaker SPEAKER_25
transcript.pyannote[1017].start 5988.29346875
transcript.pyannote[1017].end 5989.57596875
transcript.pyannote[1018].speaker SPEAKER_25
transcript.pyannote[1018].start 5990.77409375
transcript.pyannote[1018].end 5992.15784375
transcript.pyannote[1019].speaker SPEAKER_25
transcript.pyannote[1019].start 5996.73096875
transcript.pyannote[1019].end 5996.78159375
transcript.pyannote[1020].speaker SPEAKER_25
transcript.pyannote[1020].start 5996.96721875
transcript.pyannote[1020].end 5997.01784375
transcript.pyannote[1021].speaker SPEAKER_25
transcript.pyannote[1021].start 5997.59159375
transcript.pyannote[1021].end 5999.14409375
transcript.pyannote[1022].speaker SPEAKER_05
transcript.pyannote[1022].start 6004.96596875
transcript.pyannote[1022].end 6005.03346875
transcript.pyannote[1023].speaker SPEAKER_05
transcript.pyannote[1023].start 6005.10096875
transcript.pyannote[1023].end 6005.15159375
transcript.pyannote[1024].speaker SPEAKER_05
transcript.pyannote[1024].start 6005.16846875
transcript.pyannote[1024].end 6005.60721875
transcript.pyannote[1025].speaker SPEAKER_05
transcript.pyannote[1025].start 6005.80971875
transcript.pyannote[1025].end 6007.71659375
transcript.pyannote[1026].speaker SPEAKER_05
transcript.pyannote[1026].start 6007.75034375
transcript.pyannote[1026].end 6009.21846875
transcript.pyannote[1027].speaker SPEAKER_16
transcript.pyannote[1027].start 6009.21846875
transcript.pyannote[1027].end 6009.67409375
transcript.pyannote[1028].speaker SPEAKER_05
transcript.pyannote[1028].start 6009.67409375
transcript.pyannote[1028].end 6009.97784375
transcript.pyannote[1029].speaker SPEAKER_16
transcript.pyannote[1029].start 6009.97784375
transcript.pyannote[1029].end 6010.51784375
transcript.pyannote[1030].speaker SPEAKER_05
transcript.pyannote[1030].start 6010.51784375
transcript.pyannote[1030].end 6010.55159375
transcript.pyannote[1031].speaker SPEAKER_16
transcript.pyannote[1031].start 6038.42909375
transcript.pyannote[1031].end 6038.47971875
transcript.pyannote[1032].speaker SPEAKER_20
transcript.pyannote[1032].start 6038.47971875
transcript.pyannote[1032].end 6038.88471875
transcript.pyannote[1033].speaker SPEAKER_16
transcript.pyannote[1033].start 6038.88471875
transcript.pyannote[1033].end 6038.91846875
transcript.pyannote[1034].speaker SPEAKER_16
transcript.pyannote[1034].start 6038.96909375
transcript.pyannote[1034].end 6038.98596875
transcript.pyannote[1035].speaker SPEAKER_16
transcript.pyannote[1035].start 6039.96471875
transcript.pyannote[1035].end 6040.04909375
transcript.pyannote[1036].speaker SPEAKER_20
transcript.pyannote[1036].start 6040.04909375
transcript.pyannote[1036].end 6043.67721875
transcript.pyannote[1037].speaker SPEAKER_20
transcript.pyannote[1037].start 6044.31846875
transcript.pyannote[1037].end 6049.38096875
transcript.pyannote[1038].speaker SPEAKER_20
transcript.pyannote[1038].start 6050.00534375
transcript.pyannote[1038].end 6051.03471875
transcript.pyannote[1039].speaker SPEAKER_16
transcript.pyannote[1039].start 6063.97784375
transcript.pyannote[1039].end 6064.02846875
transcript.pyannote[1040].speaker SPEAKER_16
transcript.pyannote[1040].start 6064.45034375
transcript.pyannote[1040].end 6065.02409375
transcript.pyannote[1041].speaker SPEAKER_16
transcript.pyannote[1041].start 6065.96909375
transcript.pyannote[1041].end 6066.03659375
transcript.pyannote[1042].speaker SPEAKER_16
transcript.pyannote[1042].start 6066.35721875
transcript.pyannote[1042].end 6066.40784375
transcript.pyannote[1043].speaker SPEAKER_16
transcript.pyannote[1043].start 6069.51284375
transcript.pyannote[1043].end 6074.77784375
transcript.pyannote[1044].speaker SPEAKER_16
transcript.pyannote[1044].start 6076.06034375
transcript.pyannote[1044].end 6078.79409375
transcript.pyannote[1045].speaker SPEAKER_16
transcript.pyannote[1045].start 6079.85721875
transcript.pyannote[1045].end 6079.87409375
transcript.pyannote[1046].speaker SPEAKER_16
transcript.pyannote[1046].start 6079.90784375
transcript.pyannote[1046].end 6080.02596875
transcript.pyannote[1047].speaker SPEAKER_16
transcript.pyannote[1047].start 6080.14409375
transcript.pyannote[1047].end 6080.43096875
transcript.pyannote[1048].speaker SPEAKER_16
transcript.pyannote[1048].start 6080.49846875
transcript.pyannote[1048].end 6080.61659375
transcript.pyannote[1049].speaker SPEAKER_16
transcript.pyannote[1049].start 6083.23221875
transcript.pyannote[1049].end 6084.76784375
transcript.pyannote[1050].speaker SPEAKER_16
transcript.pyannote[1050].start 6090.06659375
transcript.pyannote[1050].end 6090.26909375
transcript.pyannote[1051].speaker SPEAKER_11
transcript.pyannote[1051].start 6090.26909375
transcript.pyannote[1051].end 6090.65721875
transcript.pyannote[1052].speaker SPEAKER_16
transcript.pyannote[1052].start 6090.38721875
transcript.pyannote[1052].end 6090.55596875
transcript.pyannote[1053].speaker SPEAKER_16
transcript.pyannote[1053].start 6090.65721875
transcript.pyannote[1053].end 6090.70784375
transcript.pyannote[1054].speaker SPEAKER_16
transcript.pyannote[1054].start 6091.04534375
transcript.pyannote[1054].end 6091.53471875
transcript.pyannote[1055].speaker SPEAKER_14
transcript.pyannote[1055].start 6096.47909375
transcript.pyannote[1055].end 6097.20471875
transcript.pyannote[1056].speaker SPEAKER_16
transcript.pyannote[1056].start 6115.96971875
transcript.pyannote[1056].end 6116.03721875
transcript.pyannote[1057].speaker SPEAKER_14
transcript.pyannote[1057].start 6119.19284375
transcript.pyannote[1057].end 6119.22659375
transcript.pyannote[1058].speaker SPEAKER_05
transcript.pyannote[1058].start 6166.40909375
transcript.pyannote[1058].end 6167.50596875
transcript.pyannote[1059].speaker SPEAKER_05
transcript.pyannote[1059].start 6168.97409375
transcript.pyannote[1059].end 6169.02471875
transcript.pyannote[1060].speaker SPEAKER_05
transcript.pyannote[1060].start 6169.09221875
transcript.pyannote[1060].end 6169.10909375
transcript.pyannote[1061].speaker SPEAKER_19
transcript.pyannote[1061].start 6188.39721875
transcript.pyannote[1061].end 6189.64596875
transcript.pyannote[1062].speaker SPEAKER_16
transcript.pyannote[1062].start 6190.33784375
transcript.pyannote[1062].end 6191.80596875
transcript.pyannote[1063].speaker SPEAKER_16
transcript.pyannote[1063].start 6195.41721875
transcript.pyannote[1063].end 6196.02471875
transcript.pyannote[1064].speaker SPEAKER_17
transcript.pyannote[1064].start 6196.02471875
transcript.pyannote[1064].end 6196.93596875
transcript.pyannote[1065].speaker SPEAKER_16
transcript.pyannote[1065].start 6196.93596875
transcript.pyannote[1065].end 6196.95284375
transcript.pyannote[1066].speaker SPEAKER_15
transcript.pyannote[1066].start 6259.60971875
transcript.pyannote[1066].end 6260.03159375
transcript.pyannote[1067].speaker SPEAKER_15
transcript.pyannote[1067].start 6260.53784375
transcript.pyannote[1067].end 6261.04409375
transcript.pyannote[1068].speaker SPEAKER_14
transcript.pyannote[1068].start 6301.96596875
transcript.pyannote[1068].end 6302.26971875
transcript.pyannote[1069].speaker SPEAKER_14
transcript.pyannote[1069].start 6302.60721875
transcript.pyannote[1069].end 6304.64909375
transcript.pyannote[1070].speaker SPEAKER_14
transcript.pyannote[1070].start 6305.23971875
transcript.pyannote[1070].end 6305.27346875
transcript.pyannote[1071].speaker SPEAKER_14
transcript.pyannote[1071].start 6305.30721875
transcript.pyannote[1071].end 6305.64471875
transcript.pyannote[1072].speaker SPEAKER_14
transcript.pyannote[1072].start 6323.26221875
transcript.pyannote[1072].end 6323.90346875
transcript.pyannote[1073].speaker SPEAKER_14
transcript.pyannote[1073].start 6323.95409375
transcript.pyannote[1073].end 6324.49409375
transcript.pyannote[1074].speaker SPEAKER_14
transcript.pyannote[1074].start 6324.59534375
transcript.pyannote[1074].end 6325.03409375
transcript.pyannote[1075].speaker SPEAKER_14
transcript.pyannote[1075].start 6328.89846875
transcript.pyannote[1075].end 6329.94471875
transcript.pyannote[1076].speaker SPEAKER_14
transcript.pyannote[1076].start 6342.88784375
transcript.pyannote[1076].end 6343.71471875
transcript.pyannote[1077].speaker SPEAKER_14
transcript.pyannote[1077].start 6344.74409375
transcript.pyannote[1077].end 6344.86221875
transcript.pyannote[1078].speaker SPEAKER_14
transcript.pyannote[1078].start 6344.96346875
transcript.pyannote[1078].end 6345.23346875
transcript.pyannote[1079].speaker SPEAKER_14
transcript.pyannote[1079].start 6345.89159375
transcript.pyannote[1079].end 6346.19534375
transcript.pyannote[1080].speaker SPEAKER_17
transcript.pyannote[1080].start 6346.19534375
transcript.pyannote[1080].end 6346.51596875
transcript.pyannote[1081].speaker SPEAKER_14
transcript.pyannote[1081].start 6346.51596875
transcript.pyannote[1081].end 6346.93784375
transcript.pyannote[1082].speaker SPEAKER_14
transcript.pyannote[1082].start 6346.97159375
transcript.pyannote[1082].end 6347.35971875
transcript.pyannote[1083].speaker SPEAKER_14
transcript.pyannote[1083].start 6348.23721875
transcript.pyannote[1083].end 6352.94534375
transcript.pyannote[1084].speaker SPEAKER_14
transcript.pyannote[1084].start 6352.96221875
transcript.pyannote[1084].end 6353.02971875
transcript.pyannote[1085].speaker SPEAKER_14
transcript.pyannote[1085].start 6353.04659375
transcript.pyannote[1085].end 6353.92409375
transcript.pyannote[1086].speaker SPEAKER_20
transcript.pyannote[1086].start 6362.34471875
transcript.pyannote[1086].end 6362.36159375
transcript.pyannote[1087].speaker SPEAKER_14
transcript.pyannote[1087].start 6362.36159375
transcript.pyannote[1087].end 6363.03659375
transcript.pyannote[1088].speaker SPEAKER_16
transcript.pyannote[1088].start 6363.03659375
transcript.pyannote[1088].end 6363.59346875
transcript.pyannote[1089].speaker SPEAKER_14
transcript.pyannote[1089].start 6363.59346875
transcript.pyannote[1089].end 6363.67784375
transcript.pyannote[1090].speaker SPEAKER_16
transcript.pyannote[1090].start 6363.67784375
transcript.pyannote[1090].end 6363.72846875
transcript.pyannote[1091].speaker SPEAKER_16
transcript.pyannote[1091].start 6364.94346875
transcript.pyannote[1091].end 6368.09909375
transcript.pyannote[1092].speaker SPEAKER_17
transcript.pyannote[1092].start 6368.09909375
transcript.pyannote[1092].end 6368.14971875
transcript.pyannote[1093].speaker SPEAKER_17
transcript.pyannote[1093].start 6368.16659375
transcript.pyannote[1093].end 6368.41971875
transcript.pyannote[1094].speaker SPEAKER_16
transcript.pyannote[1094].start 6368.60534375
transcript.pyannote[1094].end 6369.28034375
transcript.pyannote[1095].speaker SPEAKER_16
transcript.pyannote[1095].start 6369.53346875
transcript.pyannote[1095].end 6373.02659375
transcript.pyannote[1096].speaker SPEAKER_14
transcript.pyannote[1096].start 6373.02659375
transcript.pyannote[1096].end 6373.34721875
transcript.pyannote[1097].speaker SPEAKER_16
transcript.pyannote[1097].start 6373.34721875
transcript.pyannote[1097].end 6373.81971875
transcript.pyannote[1098].speaker SPEAKER_14
transcript.pyannote[1098].start 6373.81971875
transcript.pyannote[1098].end 6374.86596875
transcript.pyannote[1099].speaker SPEAKER_16
transcript.pyannote[1099].start 6374.86596875
transcript.pyannote[1099].end 6374.93346875
transcript.pyannote[1100].speaker SPEAKER_17
transcript.pyannote[1100].start 6375.30471875
transcript.pyannote[1100].end 6375.52409375
transcript.pyannote[1101].speaker SPEAKER_14
transcript.pyannote[1101].start 6375.52409375
transcript.pyannote[1101].end 6379.54034375
transcript.pyannote[1102].speaker SPEAKER_14
transcript.pyannote[1102].start 6379.74284375
transcript.pyannote[1102].end 6382.32471875
transcript.pyannote[1103].speaker SPEAKER_14
transcript.pyannote[1103].start 6383.06721875
transcript.pyannote[1103].end 6383.82659375
transcript.pyannote[1104].speaker SPEAKER_14
transcript.pyannote[1104].start 6388.14659375
transcript.pyannote[1104].end 6388.46721875
transcript.pyannote[1105].speaker SPEAKER_14
transcript.pyannote[1105].start 6391.92659375
transcript.pyannote[1105].end 6394.30596875
transcript.pyannote[1106].speaker SPEAKER_14
transcript.pyannote[1106].start 6394.33971875
transcript.pyannote[1106].end 6394.87971875
transcript.pyannote[1107].speaker SPEAKER_14
transcript.pyannote[1107].start 6395.21721875
transcript.pyannote[1107].end 6395.45346875
transcript.pyannote[1108].speaker SPEAKER_14
transcript.pyannote[1108].start 6397.37721875
transcript.pyannote[1108].end 6397.96784375
transcript.pyannote[1109].speaker SPEAKER_14
transcript.pyannote[1109].start 6403.72221875
transcript.pyannote[1109].end 6406.18596875
transcript.pyannote[1110].speaker SPEAKER_14
transcript.pyannote[1110].start 6406.81034375
transcript.pyannote[1110].end 6410.11784375
transcript.pyannote[1111].speaker SPEAKER_14
transcript.pyannote[1111].start 6410.38784375
transcript.pyannote[1111].end 6412.02471875
transcript.pyannote[1112].speaker SPEAKER_17
transcript.pyannote[1112].start 6410.82659375
transcript.pyannote[1112].end 6411.24846875
transcript.pyannote[1113].speaker SPEAKER_17
transcript.pyannote[1113].start 6412.46346875
transcript.pyannote[1113].end 6413.00346875
transcript.pyannote[1114].speaker SPEAKER_14
transcript.pyannote[1114].start 6413.00346875
transcript.pyannote[1114].end 6416.00721875
transcript.pyannote[1115].speaker SPEAKER_17
transcript.pyannote[1115].start 6413.17221875
transcript.pyannote[1115].end 6413.18909375
transcript.pyannote[1116].speaker SPEAKER_17
transcript.pyannote[1116].start 6413.27346875
transcript.pyannote[1116].end 6415.09596875
transcript.pyannote[1117].speaker SPEAKER_14
transcript.pyannote[1117].start 6416.59784375
transcript.pyannote[1117].end 6421.23846875
transcript.pyannote[1118].speaker SPEAKER_14
transcript.pyannote[1118].start 6421.35659375
transcript.pyannote[1118].end 6426.03096875
transcript.pyannote[1119].speaker SPEAKER_17
transcript.pyannote[1119].start 6431.22846875
transcript.pyannote[1119].end 6432.20721875
transcript.pyannote[1120].speaker SPEAKER_14
transcript.pyannote[1120].start 6433.35471875
transcript.pyannote[1120].end 6435.51471875
transcript.pyannote[1121].speaker SPEAKER_17
transcript.pyannote[1121].start 6433.96221875
transcript.pyannote[1121].end 6434.48534375
transcript.pyannote[1122].speaker SPEAKER_17
transcript.pyannote[1122].start 6435.37971875
transcript.pyannote[1122].end 6435.43034375
transcript.pyannote[1123].speaker SPEAKER_17
transcript.pyannote[1123].start 6435.51471875
transcript.pyannote[1123].end 6435.66659375
transcript.pyannote[1124].speaker SPEAKER_14
transcript.pyannote[1124].start 6435.66659375
transcript.pyannote[1124].end 6438.43409375
transcript.pyannote[1125].speaker SPEAKER_17
transcript.pyannote[1125].start 6437.01659375
transcript.pyannote[1125].end 6437.03346875
transcript.pyannote[1126].speaker SPEAKER_17
transcript.pyannote[1126].start 6437.05034375
transcript.pyannote[1126].end 6437.38784375
transcript.pyannote[1127].speaker SPEAKER_14
transcript.pyannote[1127].start 6438.70409375
transcript.pyannote[1127].end 6441.79221875
transcript.pyannote[1128].speaker SPEAKER_17
transcript.pyannote[1128].start 6442.97346875
transcript.pyannote[1128].end 6444.03659375
transcript.pyannote[1129].speaker SPEAKER_14
transcript.pyannote[1129].start 6444.03659375
transcript.pyannote[1129].end 6444.18846875
transcript.pyannote[1130].speaker SPEAKER_14
transcript.pyannote[1130].start 6445.28534375
transcript.pyannote[1130].end 6446.02784375
transcript.pyannote[1131].speaker SPEAKER_14
transcript.pyannote[1131].start 6447.96846875
transcript.pyannote[1131].end 6449.03159375
transcript.pyannote[1132].speaker SPEAKER_14
transcript.pyannote[1132].start 6449.94284375
transcript.pyannote[1132].end 6453.45284375
transcript.pyannote[1133].speaker SPEAKER_20
transcript.pyannote[1133].start 6451.46159375
transcript.pyannote[1133].end 6451.54596875
transcript.pyannote[1134].speaker SPEAKER_14
transcript.pyannote[1134].start 6453.85784375
transcript.pyannote[1134].end 6457.43534375
transcript.pyannote[1135].speaker SPEAKER_14
transcript.pyannote[1135].start 6457.46909375
transcript.pyannote[1135].end 6457.58721875
transcript.pyannote[1136].speaker SPEAKER_14
transcript.pyannote[1136].start 6460.96221875
transcript.pyannote[1136].end 6461.89034375
transcript.pyannote[1137].speaker SPEAKER_14
transcript.pyannote[1137].start 6462.26159375
transcript.pyannote[1137].end 6464.35409375
transcript.pyannote[1138].speaker SPEAKER_14
transcript.pyannote[1138].start 6464.45534375
transcript.pyannote[1138].end 6467.17221875
transcript.pyannote[1139].speaker SPEAKER_14
transcript.pyannote[1139].start 6469.39971875
transcript.pyannote[1139].end 6469.50096875
transcript.pyannote[1140].speaker SPEAKER_20
transcript.pyannote[1140].start 6499.16721875
transcript.pyannote[1140].end 6499.47096875
transcript.pyannote[1141].speaker SPEAKER_25
transcript.pyannote[1141].start 6516.27846875
transcript.pyannote[1141].end 6518.13471875
transcript.pyannote[1142].speaker SPEAKER_05
transcript.pyannote[1142].start 6518.35409375
transcript.pyannote[1142].end 6521.29034375
transcript.pyannote[1143].speaker SPEAKER_05
transcript.pyannote[1143].start 6521.61096875
transcript.pyannote[1143].end 6522.67409375
transcript.pyannote[1144].speaker SPEAKER_05
transcript.pyannote[1144].start 6522.97784375
transcript.pyannote[1144].end 6523.01159375
transcript.pyannote[1145].speaker SPEAKER_14
transcript.pyannote[1145].start 6523.01159375
transcript.pyannote[1145].end 6524.19284375
transcript.pyannote[1146].speaker SPEAKER_05
transcript.pyannote[1146].start 6524.83409375
transcript.pyannote[1146].end 6524.88471875
transcript.pyannote[1147].speaker SPEAKER_25
transcript.pyannote[1147].start 6524.88471875
transcript.pyannote[1147].end 6524.93534375
transcript.pyannote[1148].speaker SPEAKER_14
transcript.pyannote[1148].start 6524.93534375
transcript.pyannote[1148].end 6525.03659375
transcript.pyannote[1149].speaker SPEAKER_25
transcript.pyannote[1149].start 6538.48596875
transcript.pyannote[1149].end 6540.22409375
transcript.pyannote[1150].speaker SPEAKER_05
transcript.pyannote[1150].start 6539.29596875
transcript.pyannote[1150].end 6539.88659375
transcript.pyannote[1151].speaker SPEAKER_05
transcript.pyannote[1151].start 6540.22409375
transcript.pyannote[1151].end 6540.78096875
transcript.pyannote[1152].speaker SPEAKER_25
transcript.pyannote[1152].start 6540.78096875
transcript.pyannote[1152].end 6540.83159375
transcript.pyannote[1153].speaker SPEAKER_05
transcript.pyannote[1153].start 6540.83159375
transcript.pyannote[1153].end 6540.93284375
transcript.pyannote[1154].speaker SPEAKER_25
transcript.pyannote[1154].start 6540.93284375
transcript.pyannote[1154].end 6541.96221875
transcript.pyannote[1155].speaker SPEAKER_05
transcript.pyannote[1155].start 6541.10159375
transcript.pyannote[1155].end 6544.57784375
transcript.pyannote[1156].speaker SPEAKER_25
transcript.pyannote[1156].start 6542.24909375
transcript.pyannote[1156].end 6543.36284375
transcript.pyannote[1157].speaker SPEAKER_25
transcript.pyannote[1157].start 6544.51034375
transcript.pyannote[1157].end 6545.79284375
transcript.pyannote[1158].speaker SPEAKER_25
transcript.pyannote[1158].start 6550.80471875
transcript.pyannote[1158].end 6552.01971875
transcript.pyannote[1159].speaker SPEAKER_05
transcript.pyannote[1159].start 6552.01971875
transcript.pyannote[1159].end 6555.63096875
transcript.pyannote[1160].speaker SPEAKER_05
transcript.pyannote[1160].start 6557.97659375
transcript.pyannote[1160].end 6558.02721875
transcript.pyannote[1161].speaker SPEAKER_05
transcript.pyannote[1161].start 6558.17909375
transcript.pyannote[1161].end 6560.37284375
transcript.pyannote[1162].speaker SPEAKER_05
transcript.pyannote[1162].start 6560.42346875
transcript.pyannote[1162].end 6560.72721875
transcript.pyannote[1163].speaker SPEAKER_05
transcript.pyannote[1163].start 6564.30471875
transcript.pyannote[1163].end 6564.32159375
transcript.pyannote[1164].speaker SPEAKER_05
transcript.pyannote[1164].start 6564.67596875
transcript.pyannote[1164].end 6565.04721875
transcript.pyannote[1165].speaker SPEAKER_05
transcript.pyannote[1165].start 6565.11471875
transcript.pyannote[1165].end 6565.18221875
transcript.pyannote[1166].speaker SPEAKER_05
transcript.pyannote[1166].start 6565.21596875
transcript.pyannote[1166].end 6568.57409375
transcript.pyannote[1167].speaker SPEAKER_05
transcript.pyannote[1167].start 6568.60784375
transcript.pyannote[1167].end 6569.63721875
transcript.pyannote[1168].speaker SPEAKER_25
transcript.pyannote[1168].start 6568.65846875
transcript.pyannote[1168].end 6571.49346875
transcript.pyannote[1169].speaker SPEAKER_05
transcript.pyannote[1169].start 6571.49346875
transcript.pyannote[1169].end 6571.96596875
transcript.pyannote[1170].speaker SPEAKER_25
transcript.pyannote[1170].start 6571.96596875
transcript.pyannote[1170].end 6575.32409375
transcript.pyannote[1171].speaker SPEAKER_05
transcript.pyannote[1171].start 6572.72534375
transcript.pyannote[1171].end 6580.36971875
transcript.pyannote[1172].speaker SPEAKER_25
transcript.pyannote[1172].start 6578.32784375
transcript.pyannote[1172].end 6578.81721875
transcript.pyannote[1173].speaker SPEAKER_25
transcript.pyannote[1173].start 6580.36971875
transcript.pyannote[1173].end 6582.24284375
transcript.pyannote[1174].speaker SPEAKER_05
transcript.pyannote[1174].start 6582.59721875
transcript.pyannote[1174].end 6592.99221875
transcript.pyannote[1175].speaker SPEAKER_25
transcript.pyannote[1175].start 6586.91721875
transcript.pyannote[1175].end 6587.01846875
transcript.pyannote[1176].speaker SPEAKER_16
transcript.pyannote[1176].start 6592.03034375
transcript.pyannote[1176].end 6592.41846875
transcript.pyannote[1177].speaker SPEAKER_25
transcript.pyannote[1177].start 6592.65471875
transcript.pyannote[1177].end 6592.68846875
transcript.pyannote[1178].speaker SPEAKER_25
transcript.pyannote[1178].start 6592.99221875
transcript.pyannote[1178].end 6593.07659375
transcript.pyannote[1179].speaker SPEAKER_16
transcript.pyannote[1179].start 6593.65034375
transcript.pyannote[1179].end 6593.92034375
transcript.pyannote[1180].speaker SPEAKER_25
transcript.pyannote[1180].start 6593.92034375
transcript.pyannote[1180].end 6594.35909375
transcript.pyannote[1181].speaker SPEAKER_25
transcript.pyannote[1181].start 6598.89846875
transcript.pyannote[1181].end 6599.20221875
transcript.pyannote[1182].speaker SPEAKER_25
transcript.pyannote[1182].start 6599.97846875
transcript.pyannote[1182].end 6600.94034375
transcript.pyannote[1183].speaker SPEAKER_25
transcript.pyannote[1183].start 6601.78409375
transcript.pyannote[1183].end 6602.66159375
transcript.pyannote[1184].speaker SPEAKER_25
transcript.pyannote[1184].start 6603.04971875
transcript.pyannote[1184].end 6605.26034375
transcript.pyannote[1185].speaker SPEAKER_26
transcript.pyannote[1185].start 6621.83159375
transcript.pyannote[1185].end 6642.21659375
transcript.pyannote[1186].speaker SPEAKER_26
transcript.pyannote[1186].start 6642.75659375
transcript.pyannote[1186].end 6643.31346875
transcript.pyannote[1187].speaker SPEAKER_26
transcript.pyannote[1187].start 6643.66784375
transcript.pyannote[1187].end 6649.05096875
transcript.pyannote[1188].speaker SPEAKER_26
transcript.pyannote[1188].start 6649.30409375
transcript.pyannote[1188].end 6672.87846875
transcript.pyannote[1189].speaker SPEAKER_26
transcript.pyannote[1189].start 6673.41846875
transcript.pyannote[1189].end 6674.59971875
transcript.pyannote[1190].speaker SPEAKER_26
transcript.pyannote[1190].start 6675.03846875
transcript.pyannote[1190].end 6698.24159375
transcript.pyannote[1191].speaker SPEAKER_26
transcript.pyannote[1191].start 6698.91659375
transcript.pyannote[1191].end 6700.99221875
transcript.pyannote[1192].speaker SPEAKER_26
transcript.pyannote[1192].start 6701.31284375
transcript.pyannote[1192].end 6702.24096875
transcript.pyannote[1193].speaker SPEAKER_26
transcript.pyannote[1193].start 6703.35471875
transcript.pyannote[1193].end 6707.11784375
transcript.pyannote[1194].speaker SPEAKER_26
transcript.pyannote[1194].start 6707.89409375
transcript.pyannote[1194].end 6709.29471875
transcript.pyannote[1195].speaker SPEAKER_26
transcript.pyannote[1195].start 6709.68284375
transcript.pyannote[1195].end 6712.63596875
transcript.pyannote[1196].speaker SPEAKER_26
transcript.pyannote[1196].start 6712.92284375
transcript.pyannote[1196].end 6715.01534375
transcript.pyannote[1197].speaker SPEAKER_26
transcript.pyannote[1197].start 6715.52159375
transcript.pyannote[1197].end 6716.98971875
transcript.pyannote[1198].speaker SPEAKER_26
transcript.pyannote[1198].start 6717.15846875
transcript.pyannote[1198].end 6719.55471875
transcript.pyannote[1199].speaker SPEAKER_26
transcript.pyannote[1199].start 6719.65596875
transcript.pyannote[1199].end 6722.18721875
transcript.pyannote[1200].speaker SPEAKER_26
transcript.pyannote[1200].start 6722.60909375
transcript.pyannote[1200].end 6723.63846875
transcript.pyannote[1201].speaker SPEAKER_26
transcript.pyannote[1201].start 6724.22909375
transcript.pyannote[1201].end 6738.85971875
transcript.pyannote[1202].speaker SPEAKER_26
transcript.pyannote[1202].start 6739.24784375
transcript.pyannote[1202].end 6739.45034375
transcript.pyannote[1203].speaker SPEAKER_26
transcript.pyannote[1203].start 6739.78784375
transcript.pyannote[1203].end 6741.69471875
transcript.pyannote[1204].speaker SPEAKER_26
transcript.pyannote[1204].start 6742.18409375
transcript.pyannote[1204].end 6744.14159375
transcript.pyannote[1205].speaker SPEAKER_26
transcript.pyannote[1205].start 6744.63096875
transcript.pyannote[1205].end 6744.91784375
transcript.pyannote[1206].speaker SPEAKER_26
transcript.pyannote[1206].start 6745.62659375
transcript.pyannote[1206].end 6746.30159375
transcript.pyannote[1207].speaker SPEAKER_26
transcript.pyannote[1207].start 6746.74034375
transcript.pyannote[1207].end 6749.40659375
transcript.pyannote[1208].speaker SPEAKER_26
transcript.pyannote[1208].start 6750.80721875
transcript.pyannote[1208].end 6751.11096875
transcript.pyannote[1209].speaker SPEAKER_26
transcript.pyannote[1209].start 6752.30909375
transcript.pyannote[1209].end 6753.94596875
transcript.pyannote[1210].speaker SPEAKER_26
transcript.pyannote[1210].start 6754.40159375
transcript.pyannote[1210].end 6755.38034375
transcript.pyannote[1211].speaker SPEAKER_26
transcript.pyannote[1211].start 6755.85284375
transcript.pyannote[1211].end 6759.44721875
transcript.pyannote[1212].speaker SPEAKER_26
transcript.pyannote[1212].start 6759.73409375
transcript.pyannote[1212].end 6760.51034375
transcript.pyannote[1213].speaker SPEAKER_26
transcript.pyannote[1213].start 6761.15159375
transcript.pyannote[1213].end 6763.78409375
transcript.pyannote[1214].speaker SPEAKER_26
transcript.pyannote[1214].start 6764.35784375
transcript.pyannote[1214].end 6771.15846875
transcript.pyannote[1215].speaker SPEAKER_26
transcript.pyannote[1215].start 6771.90096875
transcript.pyannote[1215].end 6772.17096875
transcript.pyannote[1216].speaker SPEAKER_26
transcript.pyannote[1216].start 6772.50846875
transcript.pyannote[1216].end 6776.96346875
transcript.pyannote[1217].speaker SPEAKER_26
transcript.pyannote[1217].start 6778.51596875
transcript.pyannote[1217].end 6783.86534375
transcript.pyannote[1218].speaker SPEAKER_26
transcript.pyannote[1218].start 6784.35471875
transcript.pyannote[1218].end 6785.73846875
transcript.pyannote[1219].speaker SPEAKER_26
transcript.pyannote[1219].start 6786.44721875
transcript.pyannote[1219].end 6787.34159375
transcript.pyannote[1220].speaker SPEAKER_26
transcript.pyannote[1220].start 6787.88159375
transcript.pyannote[1220].end 6793.21409375
transcript.pyannote[1221].speaker SPEAKER_26
transcript.pyannote[1221].start 6793.58534375
transcript.pyannote[1221].end 6795.49221875
transcript.pyannote[1222].speaker SPEAKER_26
transcript.pyannote[1222].start 6796.03221875
transcript.pyannote[1222].end 6801.90471875
transcript.pyannote[1223].speaker SPEAKER_26
transcript.pyannote[1223].start 6802.90034375
transcript.pyannote[1223].end 6815.40471875
transcript.pyannote[1224].speaker SPEAKER_26
transcript.pyannote[1224].start 6815.75909375
transcript.pyannote[1224].end 6816.02909375
transcript.pyannote[1225].speaker SPEAKER_26
transcript.pyannote[1225].start 6816.77159375
transcript.pyannote[1225].end 6830.47409375
transcript.pyannote[1226].speaker SPEAKER_26
transcript.pyannote[1226].start 6830.76096875
transcript.pyannote[1226].end 6832.24596875
transcript.pyannote[1227].speaker SPEAKER_26
transcript.pyannote[1227].start 6832.78596875
transcript.pyannote[1227].end 6834.16971875
transcript.pyannote[1228].speaker SPEAKER_26
transcript.pyannote[1228].start 6834.74346875
transcript.pyannote[1228].end 6836.68409375
transcript.pyannote[1229].speaker SPEAKER_26
transcript.pyannote[1229].start 6836.93721875
transcript.pyannote[1229].end 6853.87971875
transcript.pyannote[1230].speaker SPEAKER_26
transcript.pyannote[1230].start 6854.13284375
transcript.pyannote[1230].end 6860.71409375
transcript.pyannote[1231].speaker SPEAKER_26
transcript.pyannote[1231].start 6861.22034375
transcript.pyannote[1231].end 6866.77221875
transcript.pyannote[1232].speaker SPEAKER_26
transcript.pyannote[1232].start 6867.46409375
transcript.pyannote[1232].end 6869.86034375
transcript.pyannote[1233].speaker SPEAKER_26
transcript.pyannote[1233].start 6870.14721875
transcript.pyannote[1233].end 6878.87159375
transcript.pyannote[1234].speaker SPEAKER_26
transcript.pyannote[1234].start 6879.22596875
transcript.pyannote[1234].end 6894.07596875
transcript.pyannote[1235].speaker SPEAKER_26
transcript.pyannote[1235].start 6894.93659375
transcript.pyannote[1235].end 6903.27284375
transcript.pyannote[1236].speaker SPEAKER_26
transcript.pyannote[1236].start 6903.74534375
transcript.pyannote[1236].end 6905.14596875
transcript.pyannote[1237].speaker SPEAKER_26
transcript.pyannote[1237].start 6905.56784375
transcript.pyannote[1237].end 6913.80284375
transcript.pyannote[1238].speaker SPEAKER_26
transcript.pyannote[1238].start 6914.17409375
transcript.pyannote[1238].end 6925.24409375
transcript.pyannote[1239].speaker SPEAKER_26
transcript.pyannote[1239].start 6925.53096875
transcript.pyannote[1239].end 6926.52659375
transcript.pyannote[1240].speaker SPEAKER_26
transcript.pyannote[1240].start 6927.03284375
transcript.pyannote[1240].end 6937.05659375
transcript.pyannote[1241].speaker SPEAKER_26
transcript.pyannote[1241].start 6937.51221875
transcript.pyannote[1241].end 6938.98034375
transcript.pyannote[1242].speaker SPEAKER_26
transcript.pyannote[1242].start 6939.52034375
transcript.pyannote[1242].end 6939.68909375
transcript.pyannote[1243].speaker SPEAKER_26
transcript.pyannote[1243].start 6940.12784375
transcript.pyannote[1243].end 6941.66346875
transcript.pyannote[1244].speaker SPEAKER_26
transcript.pyannote[1244].start 6941.89971875
transcript.pyannote[1244].end 6951.67034375
transcript.pyannote[1245].speaker SPEAKER_26
transcript.pyannote[1245].start 6951.97409375
transcript.pyannote[1245].end 6957.01971875
transcript.pyannote[1246].speaker SPEAKER_26
transcript.pyannote[1246].start 6957.25596875
transcript.pyannote[1246].end 6959.53409375
transcript.pyannote[1247].speaker SPEAKER_26
transcript.pyannote[1247].start 6960.05721875
transcript.pyannote[1247].end 6963.21284375
transcript.pyannote[1248].speaker SPEAKER_26
transcript.pyannote[1248].start 6963.90471875
transcript.pyannote[1248].end 6966.99284375
transcript.pyannote[1249].speaker SPEAKER_26
transcript.pyannote[1249].start 6967.75221875
transcript.pyannote[1249].end 6971.31284375
transcript.pyannote[1250].speaker SPEAKER_26
transcript.pyannote[1250].start 6972.15659375
transcript.pyannote[1250].end 6972.40971875
transcript.pyannote[1251].speaker SPEAKER_26
transcript.pyannote[1251].start 6973.97909375
transcript.pyannote[1251].end 6974.51909375
transcript.pyannote[1252].speaker SPEAKER_26
transcript.pyannote[1252].start 6974.94096875
transcript.pyannote[1252].end 6981.11721875
transcript.pyannote[1253].speaker SPEAKER_26
transcript.pyannote[1253].start 6981.87659375
transcript.pyannote[1253].end 6983.32784375
transcript.pyannote[1254].speaker SPEAKER_26
transcript.pyannote[1254].start 6983.46284375
transcript.pyannote[1254].end 6984.64409375
transcript.pyannote[1255].speaker SPEAKER_26
transcript.pyannote[1255].start 6985.08284375
transcript.pyannote[1255].end 6993.28409375
transcript.pyannote[1256].speaker SPEAKER_26
transcript.pyannote[1256].start 6993.63846875
transcript.pyannote[1256].end 6999.49409375
transcript.pyannote[1257].speaker SPEAKER_26
transcript.pyannote[1257].start 6999.94971875
transcript.pyannote[1257].end 7018.03971875
transcript.pyannote[1258].speaker SPEAKER_26
transcript.pyannote[1258].start 7018.42784375
transcript.pyannote[1258].end 7022.83221875
transcript.pyannote[1259].speaker SPEAKER_26
transcript.pyannote[1259].start 7023.40596875
transcript.pyannote[1259].end 7024.51971875
transcript.pyannote[1260].speaker SPEAKER_26
transcript.pyannote[1260].start 7024.90784375
transcript.pyannote[1260].end 7029.05909375
transcript.pyannote[1261].speaker SPEAKER_26
transcript.pyannote[1261].start 7029.66659375
transcript.pyannote[1261].end 7034.74596875
transcript.pyannote[1262].speaker SPEAKER_25
transcript.pyannote[1262].start 7036.24784375
transcript.pyannote[1262].end 7039.15034375
transcript.pyannote[1263].speaker SPEAKER_25
transcript.pyannote[1263].start 7039.50471875
transcript.pyannote[1263].end 7041.32721875
transcript.pyannote[1264].speaker SPEAKER_08
transcript.pyannote[1264].start 7050.49034375
transcript.pyannote[1264].end 7072.83284375
transcript.pyannote[1265].speaker SPEAKER_08
transcript.pyannote[1265].start 7073.52471875
transcript.pyannote[1265].end 7076.22471875
transcript.pyannote[1266].speaker SPEAKER_08
transcript.pyannote[1266].start 7076.57909375
transcript.pyannote[1266].end 7081.96221875
transcript.pyannote[1267].speaker SPEAKER_08
transcript.pyannote[1267].start 7082.29971875
transcript.pyannote[1267].end 7094.48346875
transcript.pyannote[1268].speaker SPEAKER_08
transcript.pyannote[1268].start 7094.93909375
transcript.pyannote[1268].end 7101.72284375
transcript.pyannote[1269].speaker SPEAKER_08
transcript.pyannote[1269].start 7102.43159375
transcript.pyannote[1269].end 7110.44721875
transcript.pyannote[1270].speaker SPEAKER_08
transcript.pyannote[1270].start 7111.51034375
transcript.pyannote[1270].end 7119.59346875
transcript.pyannote[1271].speaker SPEAKER_08
transcript.pyannote[1271].start 7119.69471875
transcript.pyannote[1271].end 7121.14596875
transcript.pyannote[1272].speaker SPEAKER_08
transcript.pyannote[1272].start 7122.09096875
transcript.pyannote[1272].end 7125.43221875
transcript.pyannote[1273].speaker SPEAKER_08
transcript.pyannote[1273].start 7125.46596875
transcript.pyannote[1273].end 7126.81596875
transcript.pyannote[1274].speaker SPEAKER_08
transcript.pyannote[1274].start 7127.60909375
transcript.pyannote[1274].end 7129.51596875
transcript.pyannote[1275].speaker SPEAKER_08
transcript.pyannote[1275].start 7130.10659375
transcript.pyannote[1275].end 7131.67596875
transcript.pyannote[1276].speaker SPEAKER_08
transcript.pyannote[1276].start 7132.19909375
transcript.pyannote[1276].end 7135.21971875
transcript.pyannote[1277].speaker SPEAKER_08
transcript.pyannote[1277].start 7136.14784375
transcript.pyannote[1277].end 7137.36284375
transcript.pyannote[1278].speaker SPEAKER_08
transcript.pyannote[1278].start 7137.91971875
transcript.pyannote[1278].end 7138.72971875
transcript.pyannote[1279].speaker SPEAKER_08
transcript.pyannote[1279].start 7139.57346875
transcript.pyannote[1279].end 7146.05346875
transcript.pyannote[1280].speaker SPEAKER_08
transcript.pyannote[1280].start 7146.93096875
transcript.pyannote[1280].end 7154.84534375
transcript.pyannote[1281].speaker SPEAKER_08
transcript.pyannote[1281].start 7154.99721875
transcript.pyannote[1281].end 7156.60034375
transcript.pyannote[1282].speaker SPEAKER_08
transcript.pyannote[1282].start 7157.15721875
transcript.pyannote[1282].end 7159.41846875
transcript.pyannote[1283].speaker SPEAKER_08
transcript.pyannote[1283].start 7159.65471875
transcript.pyannote[1283].end 7168.09221875
transcript.pyannote[1284].speaker SPEAKER_08
transcript.pyannote[1284].start 7168.80096875
transcript.pyannote[1284].end 7169.40846875
transcript.pyannote[1285].speaker SPEAKER_08
transcript.pyannote[1285].start 7170.13409375
transcript.pyannote[1285].end 7170.92721875
transcript.pyannote[1286].speaker SPEAKER_08
transcript.pyannote[1286].start 7171.12971875
transcript.pyannote[1286].end 7172.31096875
transcript.pyannote[1287].speaker SPEAKER_08
transcript.pyannote[1287].start 7172.54721875
transcript.pyannote[1287].end 7173.25596875
transcript.pyannote[1288].speaker SPEAKER_08
transcript.pyannote[1288].start 7174.80846875
transcript.pyannote[1288].end 7176.47909375
transcript.pyannote[1289].speaker SPEAKER_08
transcript.pyannote[1289].start 7177.91346875
transcript.pyannote[1289].end 7181.03534375
transcript.pyannote[1290].speaker SPEAKER_08
transcript.pyannote[1290].start 7182.03096875
transcript.pyannote[1290].end 7184.66346875
transcript.pyannote[1291].speaker SPEAKER_08
transcript.pyannote[1291].start 7185.76034375
transcript.pyannote[1291].end 7188.49409375
transcript.pyannote[1292].speaker SPEAKER_08
transcript.pyannote[1292].start 7189.01721875
transcript.pyannote[1292].end 7190.31659375
transcript.pyannote[1293].speaker SPEAKER_08
transcript.pyannote[1293].start 7190.60346875
transcript.pyannote[1293].end 7194.38346875
transcript.pyannote[1294].speaker SPEAKER_08
transcript.pyannote[1294].start 7195.09221875
transcript.pyannote[1294].end 7210.02659375
transcript.pyannote[1295].speaker SPEAKER_08
transcript.pyannote[1295].start 7210.31346875
transcript.pyannote[1295].end 7215.08909375
transcript.pyannote[1296].speaker SPEAKER_08
transcript.pyannote[1296].start 7215.47721875
transcript.pyannote[1296].end 7222.75034375
transcript.pyannote[1297].speaker SPEAKER_08
transcript.pyannote[1297].start 7223.10471875
transcript.pyannote[1297].end 7225.82159375
transcript.pyannote[1298].speaker SPEAKER_08
transcript.pyannote[1298].start 7226.56409375
transcript.pyannote[1298].end 7227.34034375
transcript.pyannote[1299].speaker SPEAKER_08
transcript.pyannote[1299].start 7227.89721875
transcript.pyannote[1299].end 7235.10284375
transcript.pyannote[1300].speaker SPEAKER_08
transcript.pyannote[1300].start 7236.36846875
transcript.pyannote[1300].end 7244.83971875
transcript.pyannote[1301].speaker SPEAKER_08
transcript.pyannote[1301].start 7245.29534375
transcript.pyannote[1301].end 7245.90284375
transcript.pyannote[1302].speaker SPEAKER_08
transcript.pyannote[1302].start 7246.66221875
transcript.pyannote[1302].end 7258.01909375
transcript.pyannote[1303].speaker SPEAKER_08
transcript.pyannote[1303].start 7258.67721875
transcript.pyannote[1303].end 7261.57971875
transcript.pyannote[1304].speaker SPEAKER_08
transcript.pyannote[1304].start 7261.95096875
transcript.pyannote[1304].end 7263.53721875
transcript.pyannote[1305].speaker SPEAKER_08
transcript.pyannote[1305].start 7263.95909375
transcript.pyannote[1305].end 7267.11471875
transcript.pyannote[1306].speaker SPEAKER_08
transcript.pyannote[1306].start 7268.83596875
transcript.pyannote[1306].end 7270.08471875
transcript.pyannote[1307].speaker SPEAKER_08
transcript.pyannote[1307].start 7270.92846875
transcript.pyannote[1307].end 7274.72534375
transcript.pyannote[1308].speaker SPEAKER_08
transcript.pyannote[1308].start 7275.63659375
transcript.pyannote[1308].end 7278.38721875
transcript.pyannote[1309].speaker SPEAKER_08
transcript.pyannote[1309].start 7279.24784375
transcript.pyannote[1309].end 7281.05346875
transcript.pyannote[1310].speaker SPEAKER_08
transcript.pyannote[1310].start 7281.49221875
transcript.pyannote[1310].end 7289.69346875
transcript.pyannote[1311].speaker SPEAKER_08
transcript.pyannote[1311].start 7289.82846875
transcript.pyannote[1311].end 7296.20721875
transcript.pyannote[1312].speaker SPEAKER_08
transcript.pyannote[1312].start 7296.52784375
transcript.pyannote[1312].end 7301.23596875
transcript.pyannote[1313].speaker SPEAKER_08
transcript.pyannote[1313].start 7301.70846875
transcript.pyannote[1313].end 7304.20596875
transcript.pyannote[1314].speaker SPEAKER_08
transcript.pyannote[1314].start 7305.06659375
transcript.pyannote[1314].end 7308.08721875
transcript.pyannote[1315].speaker SPEAKER_08
transcript.pyannote[1315].start 7308.49221875
transcript.pyannote[1315].end 7308.96471875
transcript.pyannote[1316].speaker SPEAKER_08
transcript.pyannote[1316].start 7309.87596875
transcript.pyannote[1316].end 7314.06096875
transcript.pyannote[1317].speaker SPEAKER_08
transcript.pyannote[1317].start 7314.65159375
transcript.pyannote[1317].end 7317.14909375
transcript.pyannote[1318].speaker SPEAKER_08
transcript.pyannote[1318].start 7318.02659375
transcript.pyannote[1318].end 7328.97846875
transcript.pyannote[1319].speaker SPEAKER_08
transcript.pyannote[1319].start 7329.46784375
transcript.pyannote[1319].end 7330.51409375
transcript.pyannote[1320].speaker SPEAKER_08
transcript.pyannote[1320].start 7330.86846875
transcript.pyannote[1320].end 7331.67846875
transcript.pyannote[1321].speaker SPEAKER_08
transcript.pyannote[1321].start 7331.96534375
transcript.pyannote[1321].end 7337.68596875
transcript.pyannote[1322].speaker SPEAKER_08
transcript.pyannote[1322].start 7338.34409375
transcript.pyannote[1322].end 7340.35221875
transcript.pyannote[1323].speaker SPEAKER_08
transcript.pyannote[1323].start 7340.65596875
transcript.pyannote[1323].end 7345.07721875
transcript.pyannote[1324].speaker SPEAKER_08
transcript.pyannote[1324].start 7345.56659375
transcript.pyannote[1324].end 7349.53221875
transcript.pyannote[1325].speaker SPEAKER_08
transcript.pyannote[1325].start 7349.78534375
transcript.pyannote[1325].end 7354.34159375
transcript.pyannote[1326].speaker SPEAKER_08
transcript.pyannote[1326].start 7354.83096875
transcript.pyannote[1326].end 7357.21034375
transcript.pyannote[1327].speaker SPEAKER_08
transcript.pyannote[1327].start 7358.17221875
transcript.pyannote[1327].end 7358.99909375
transcript.pyannote[1328].speaker SPEAKER_08
transcript.pyannote[1328].start 7359.30284375
transcript.pyannote[1328].end 7360.41659375
transcript.pyannote[1329].speaker SPEAKER_08
transcript.pyannote[1329].start 7360.90596875
transcript.pyannote[1329].end 7361.53034375
transcript.pyannote[1330].speaker SPEAKER_08
transcript.pyannote[1330].start 7362.45846875
transcript.pyannote[1330].end 7363.40346875
transcript.pyannote[1331].speaker SPEAKER_08
transcript.pyannote[1331].start 7363.75784375
transcript.pyannote[1331].end 7365.14159375
transcript.pyannote[1332].speaker SPEAKER_08
transcript.pyannote[1332].start 7365.78284375
transcript.pyannote[1332].end 7372.85346875
transcript.pyannote[1333].speaker SPEAKER_08
transcript.pyannote[1333].start 7374.25409375
transcript.pyannote[1333].end 7376.97096875
transcript.pyannote[1334].speaker SPEAKER_08
transcript.pyannote[1334].start 7377.62909375
transcript.pyannote[1334].end 7378.60784375
transcript.pyannote[1335].speaker SPEAKER_08
transcript.pyannote[1335].start 7379.46846875
transcript.pyannote[1335].end 7379.90721875
transcript.pyannote[1336].speaker SPEAKER_08
transcript.pyannote[1336].start 7380.83534375
transcript.pyannote[1336].end 7381.07159375
transcript.pyannote[1337].speaker SPEAKER_08
transcript.pyannote[1337].start 7381.22346875
transcript.pyannote[1337].end 7383.11346875
transcript.pyannote[1338].speaker SPEAKER_08
transcript.pyannote[1338].start 7383.43409375
transcript.pyannote[1338].end 7385.72909375
transcript.pyannote[1339].speaker SPEAKER_08
transcript.pyannote[1339].start 7386.62346875
transcript.pyannote[1339].end 7388.98596875
transcript.pyannote[1340].speaker SPEAKER_08
transcript.pyannote[1340].start 7390.08284375
transcript.pyannote[1340].end 7391.29784375
transcript.pyannote[1341].speaker SPEAKER_08
transcript.pyannote[1341].start 7392.05721875
transcript.pyannote[1341].end 7393.40721875
transcript.pyannote[1342].speaker SPEAKER_08
transcript.pyannote[1342].start 7393.67721875
transcript.pyannote[1342].end 7398.11534375
transcript.pyannote[1343].speaker SPEAKER_08
transcript.pyannote[1343].start 7400.17409375
transcript.pyannote[1343].end 7400.57909375
transcript.pyannote[1344].speaker SPEAKER_08
transcript.pyannote[1344].start 7400.81534375
transcript.pyannote[1344].end 7401.91221875
transcript.pyannote[1345].speaker SPEAKER_08
transcript.pyannote[1345].start 7402.46909375
transcript.pyannote[1345].end 7403.43096875
transcript.pyannote[1346].speaker SPEAKER_08
transcript.pyannote[1346].start 7404.22409375
transcript.pyannote[1346].end 7419.25971875
transcript.pyannote[1347].speaker SPEAKER_25
transcript.pyannote[1347].start 7421.30159375
transcript.pyannote[1347].end 7425.62159375
transcript.pyannote[1348].speaker SPEAKER_08
transcript.pyannote[1348].start 7424.52471875
transcript.pyannote[1348].end 7424.69346875
transcript.pyannote[1349].speaker SPEAKER_01
transcript.pyannote[1349].start 7435.02096875
transcript.pyannote[1349].end 7451.60909375
transcript.pyannote[1350].speaker SPEAKER_01
transcript.pyannote[1350].start 7451.81159375
transcript.pyannote[1350].end 7470.74534375
transcript.pyannote[1351].speaker SPEAKER_01
transcript.pyannote[1351].start 7470.96471875
transcript.pyannote[1351].end 7476.90471875
transcript.pyannote[1352].speaker SPEAKER_01
transcript.pyannote[1352].start 7477.93409375
transcript.pyannote[1352].end 7481.22471875
transcript.pyannote[1353].speaker SPEAKER_01
transcript.pyannote[1353].start 7481.59596875
transcript.pyannote[1353].end 7505.84534375
transcript.pyannote[1354].speaker SPEAKER_01
transcript.pyannote[1354].start 7506.57096875
transcript.pyannote[1354].end 7509.74346875
transcript.pyannote[1355].speaker SPEAKER_01
transcript.pyannote[1355].start 7510.68846875
transcript.pyannote[1355].end 7514.73846875
transcript.pyannote[1356].speaker SPEAKER_01
transcript.pyannote[1356].start 7514.90721875
transcript.pyannote[1356].end 7522.31534375
transcript.pyannote[1357].speaker SPEAKER_01
transcript.pyannote[1357].start 7523.19284375
transcript.pyannote[1357].end 7530.43221875
transcript.pyannote[1358].speaker SPEAKER_01
transcript.pyannote[1358].start 7530.95534375
transcript.pyannote[1358].end 7537.01346875
transcript.pyannote[1359].speaker SPEAKER_01
transcript.pyannote[1359].start 7537.89096875
transcript.pyannote[1359].end 7539.12284375
transcript.pyannote[1360].speaker SPEAKER_01
transcript.pyannote[1360].start 7540.59096875
transcript.pyannote[1360].end 7544.72534375
transcript.pyannote[1361].speaker SPEAKER_01
transcript.pyannote[1361].start 7545.31596875
transcript.pyannote[1361].end 7550.81721875
transcript.pyannote[1362].speaker SPEAKER_01
transcript.pyannote[1362].start 7551.50909375
transcript.pyannote[1362].end 7553.58471875
transcript.pyannote[1363].speaker SPEAKER_01
transcript.pyannote[1363].start 7553.95596875
transcript.pyannote[1363].end 7560.89159375
transcript.pyannote[1364].speaker SPEAKER_01
transcript.pyannote[1364].start 7560.97596875
transcript.pyannote[1364].end 7563.11909375
transcript.pyannote[1365].speaker SPEAKER_01
transcript.pyannote[1365].start 7563.57471875
transcript.pyannote[1365].end 7565.16096875
transcript.pyannote[1366].speaker SPEAKER_01
transcript.pyannote[1366].start 7565.31284375
transcript.pyannote[1366].end 7567.03409375
transcript.pyannote[1367].speaker SPEAKER_01
transcript.pyannote[1367].start 7567.72596875
transcript.pyannote[1367].end 7568.90721875
transcript.pyannote[1368].speaker SPEAKER_01
transcript.pyannote[1368].start 7569.09284375
transcript.pyannote[1368].end 7571.42159375
transcript.pyannote[1369].speaker SPEAKER_01
transcript.pyannote[1369].start 7571.69159375
transcript.pyannote[1369].end 7572.99096875
transcript.pyannote[1370].speaker SPEAKER_01
transcript.pyannote[1370].start 7573.85159375
transcript.pyannote[1370].end 7580.38221875
transcript.pyannote[1371].speaker SPEAKER_01
transcript.pyannote[1371].start 7580.98971875
transcript.pyannote[1371].end 7583.47034375
transcript.pyannote[1372].speaker SPEAKER_01
transcript.pyannote[1372].start 7583.84159375
transcript.pyannote[1372].end 7587.03096875
transcript.pyannote[1373].speaker SPEAKER_01
transcript.pyannote[1373].start 7587.58784375
transcript.pyannote[1373].end 7594.05096875
transcript.pyannote[1374].speaker SPEAKER_01
transcript.pyannote[1374].start 7594.91159375
transcript.pyannote[1374].end 7597.88159375
transcript.pyannote[1375].speaker SPEAKER_01
transcript.pyannote[1375].start 7598.53971875
transcript.pyannote[1375].end 7604.56409375
transcript.pyannote[1376].speaker SPEAKER_01
transcript.pyannote[1376].start 7605.39096875
transcript.pyannote[1376].end 7612.07346875
transcript.pyannote[1377].speaker SPEAKER_01
transcript.pyannote[1377].start 7612.71471875
transcript.pyannote[1377].end 7615.27971875
transcript.pyannote[1378].speaker SPEAKER_01
transcript.pyannote[1378].start 7615.80284375
transcript.pyannote[1378].end 7616.64659375
transcript.pyannote[1379].speaker SPEAKER_01
transcript.pyannote[1379].start 7616.89971875
transcript.pyannote[1379].end 7625.20221875
transcript.pyannote[1380].speaker SPEAKER_01
transcript.pyannote[1380].start 7625.62409375
transcript.pyannote[1380].end 7627.02471875
transcript.pyannote[1381].speaker SPEAKER_01
transcript.pyannote[1381].start 7627.05846875
transcript.pyannote[1381].end 7629.87659375
transcript.pyannote[1382].speaker SPEAKER_01
transcript.pyannote[1382].start 7630.58534375
transcript.pyannote[1382].end 7634.23034375
transcript.pyannote[1383].speaker SPEAKER_01
transcript.pyannote[1383].start 7634.51721875
transcript.pyannote[1383].end 7638.61784375
transcript.pyannote[1384].speaker SPEAKER_01
transcript.pyannote[1384].start 7638.95534375
transcript.pyannote[1384].end 7648.11846875
transcript.pyannote[1385].speaker SPEAKER_01
transcript.pyannote[1385].start 7648.64159375
transcript.pyannote[1385].end 7653.31596875
transcript.pyannote[1386].speaker SPEAKER_01
transcript.pyannote[1386].start 7653.53534375
transcript.pyannote[1386].end 7655.32409375
transcript.pyannote[1387].speaker SPEAKER_01
transcript.pyannote[1387].start 7655.77971875
transcript.pyannote[1387].end 7657.19721875
transcript.pyannote[1388].speaker SPEAKER_01
transcript.pyannote[1388].start 7657.95659375
transcript.pyannote[1388].end 7660.58909375
transcript.pyannote[1389].speaker SPEAKER_01
transcript.pyannote[1389].start 7660.99409375
transcript.pyannote[1389].end 7665.07784375
transcript.pyannote[1390].speaker SPEAKER_01
transcript.pyannote[1390].start 7665.31409375
transcript.pyannote[1390].end 7666.59659375
transcript.pyannote[1391].speaker SPEAKER_01
transcript.pyannote[1391].start 7667.32221875
transcript.pyannote[1391].end 7671.92909375
transcript.pyannote[1392].speaker SPEAKER_01
transcript.pyannote[1392].start 7671.94596875
transcript.pyannote[1392].end 7690.77846875
transcript.pyannote[1393].speaker SPEAKER_01
transcript.pyannote[1393].start 7691.82471875
transcript.pyannote[1393].end 7693.46159375
transcript.pyannote[1394].speaker SPEAKER_01
transcript.pyannote[1394].start 7694.94659375
transcript.pyannote[1394].end 7705.91534375
transcript.pyannote[1395].speaker SPEAKER_17
transcript.pyannote[1395].start 7698.50721875
transcript.pyannote[1395].end 7698.55784375
transcript.pyannote[1396].speaker SPEAKER_01
transcript.pyannote[1396].start 7706.62409375
transcript.pyannote[1396].end 7710.30284375
transcript.pyannote[1397].speaker SPEAKER_01
transcript.pyannote[1397].start 7710.92721875
transcript.pyannote[1397].end 7712.20971875
transcript.pyannote[1398].speaker SPEAKER_01
transcript.pyannote[1398].start 7712.56409375
transcript.pyannote[1398].end 7715.44971875
transcript.pyannote[1399].speaker SPEAKER_01
transcript.pyannote[1399].start 7715.85471875
transcript.pyannote[1399].end 7721.72721875
transcript.pyannote[1400].speaker SPEAKER_01
transcript.pyannote[1400].start 7721.87909375
transcript.pyannote[1400].end 7722.84096875
transcript.pyannote[1401].speaker SPEAKER_01
transcript.pyannote[1401].start 7723.65096875
transcript.pyannote[1401].end 7725.42284375
transcript.pyannote[1402].speaker SPEAKER_01
transcript.pyannote[1402].start 7725.57471875
transcript.pyannote[1402].end 7728.29159375
transcript.pyannote[1403].speaker SPEAKER_01
transcript.pyannote[1403].start 7729.38846875
transcript.pyannote[1403].end 7729.86096875
transcript.pyannote[1404].speaker SPEAKER_01
transcript.pyannote[1404].start 7730.36721875
transcript.pyannote[1404].end 7738.14659375
transcript.pyannote[1405].speaker SPEAKER_01
transcript.pyannote[1405].start 7738.87221875
transcript.pyannote[1405].end 7761.56909375
transcript.pyannote[1406].speaker SPEAKER_01
transcript.pyannote[1406].start 7761.60284375
transcript.pyannote[1406].end 7764.40409375
transcript.pyannote[1407].speaker SPEAKER_01
transcript.pyannote[1407].start 7764.87659375
transcript.pyannote[1407].end 7774.54596875
transcript.pyannote[1408].speaker SPEAKER_01
transcript.pyannote[1408].start 7774.56284375
transcript.pyannote[1408].end 7779.54096875
transcript.pyannote[1409].speaker SPEAKER_01
transcript.pyannote[1409].start 7779.92909375
transcript.pyannote[1409].end 7821.50909375
transcript.pyannote[1410].speaker SPEAKER_01
transcript.pyannote[1410].start 7821.89721875
transcript.pyannote[1410].end 7849.57221875
transcript.pyannote[1411].speaker SPEAKER_01
transcript.pyannote[1411].start 7849.69034375
transcript.pyannote[1411].end 7850.50034375
transcript.pyannote[1412].speaker SPEAKER_01
transcript.pyannote[1412].start 7851.41159375
transcript.pyannote[1412].end 7873.16346875
transcript.pyannote[1413].speaker SPEAKER_01
transcript.pyannote[1413].start 7873.36596875
transcript.pyannote[1413].end 7918.27034375
transcript.pyannote[1414].speaker SPEAKER_01
transcript.pyannote[1414].start 7918.54034375
transcript.pyannote[1414].end 7920.64971875
transcript.pyannote[1415].speaker SPEAKER_01
transcript.pyannote[1415].start 7921.02096875
transcript.pyannote[1415].end 7921.66221875
transcript.pyannote[1416].speaker SPEAKER_01
transcript.pyannote[1416].start 7922.01659375
transcript.pyannote[1416].end 7941.86159375
transcript.pyannote[1417].speaker SPEAKER_25
transcript.pyannote[1417].start 7943.14409375
transcript.pyannote[1417].end 7945.03409375
transcript.pyannote[1418].speaker SPEAKER_25
transcript.pyannote[1418].start 7946.02971875
transcript.pyannote[1418].end 7948.44284375
transcript.pyannote[1419].speaker SPEAKER_21
transcript.pyannote[1419].start 7957.87596875
transcript.pyannote[1419].end 7963.15784375
transcript.pyannote[1420].speaker SPEAKER_21
transcript.pyannote[1420].start 7963.61346875
transcript.pyannote[1420].end 7968.62534375
transcript.pyannote[1421].speaker SPEAKER_21
transcript.pyannote[1421].start 7969.14846875
transcript.pyannote[1421].end 7985.14596875
transcript.pyannote[1422].speaker SPEAKER_21
transcript.pyannote[1422].start 7985.56784375
transcript.pyannote[1422].end 8046.25034375
transcript.pyannote[1423].speaker SPEAKER_21
transcript.pyannote[1423].start 8046.68909375
transcript.pyannote[1423].end 8053.86096875
transcript.pyannote[1424].speaker SPEAKER_21
transcript.pyannote[1424].start 8055.05909375
transcript.pyannote[1424].end 8074.80284375
transcript.pyannote[1425].speaker SPEAKER_00
transcript.pyannote[1425].start 8064.10409375
transcript.pyannote[1425].end 8064.52596875
transcript.pyannote[1426].speaker SPEAKER_21
transcript.pyannote[1426].start 8074.88721875
transcript.pyannote[1426].end 8096.16659375
transcript.pyannote[1427].speaker SPEAKER_21
transcript.pyannote[1427].start 8096.62221875
transcript.pyannote[1427].end 8098.37721875
transcript.pyannote[1428].speaker SPEAKER_21
transcript.pyannote[1428].start 8098.63034375
transcript.pyannote[1428].end 8117.88471875
transcript.pyannote[1429].speaker SPEAKER_21
transcript.pyannote[1429].start 8118.18846875
transcript.pyannote[1429].end 8131.70534375
transcript.pyannote[1430].speaker SPEAKER_21
transcript.pyannote[1430].start 8132.21159375
transcript.pyannote[1430].end 8136.63284375
transcript.pyannote[1431].speaker SPEAKER_21
transcript.pyannote[1431].start 8137.18971875
transcript.pyannote[1431].end 8149.82909375
transcript.pyannote[1432].speaker SPEAKER_21
transcript.pyannote[1432].start 8150.13284375
transcript.pyannote[1432].end 8150.72346875
transcript.pyannote[1433].speaker SPEAKER_21
transcript.pyannote[1433].start 8151.31409375
transcript.pyannote[1433].end 8207.01846875
transcript.pyannote[1434].speaker SPEAKER_21
transcript.pyannote[1434].start 8207.30534375
transcript.pyannote[1434].end 8225.42909375
transcript.pyannote[1435].speaker SPEAKER_21
transcript.pyannote[1435].start 8225.61471875
transcript.pyannote[1435].end 8233.76534375
transcript.pyannote[1436].speaker SPEAKER_21
transcript.pyannote[1436].start 8233.98471875
transcript.pyannote[1436].end 8241.03846875
transcript.pyannote[1437].speaker SPEAKER_21
transcript.pyannote[1437].start 8241.37596875
transcript.pyannote[1437].end 8243.35034375
transcript.pyannote[1438].speaker SPEAKER_21
transcript.pyannote[1438].start 8243.73846875
transcript.pyannote[1438].end 8248.29471875
transcript.pyannote[1439].speaker SPEAKER_21
transcript.pyannote[1439].start 8248.44659375
transcript.pyannote[1439].end 8248.68284375
transcript.pyannote[1440].speaker SPEAKER_25
transcript.pyannote[1440].start 8251.12971875
transcript.pyannote[1440].end 8252.69909375
transcript.pyannote[1441].speaker SPEAKER_25
transcript.pyannote[1441].start 8253.39096875
transcript.pyannote[1441].end 8256.34409375
transcript.pyannote[1442].speaker SPEAKER_25
transcript.pyannote[1442].start 8256.47909375
transcript.pyannote[1442].end 8256.63096875
transcript.pyannote[1443].speaker SPEAKER_18
transcript.pyannote[1443].start 8263.87034375
transcript.pyannote[1443].end 8265.03471875
transcript.pyannote[1444].speaker SPEAKER_18
transcript.pyannote[1444].start 8265.35534375
transcript.pyannote[1444].end 8275.04159375
transcript.pyannote[1445].speaker SPEAKER_18
transcript.pyannote[1445].start 8275.53096875
transcript.pyannote[1445].end 8277.48846875
transcript.pyannote[1446].speaker SPEAKER_18
transcript.pyannote[1446].start 8278.09596875
transcript.pyannote[1446].end 8279.51346875
transcript.pyannote[1447].speaker SPEAKER_18
transcript.pyannote[1447].start 8280.15471875
transcript.pyannote[1447].end 8281.65659375
transcript.pyannote[1448].speaker SPEAKER_18
transcript.pyannote[1448].start 8281.94346875
transcript.pyannote[1448].end 8296.08471875
transcript.pyannote[1449].speaker SPEAKER_18
transcript.pyannote[1449].start 8296.21971875
transcript.pyannote[1449].end 8306.07471875
transcript.pyannote[1450].speaker SPEAKER_18
transcript.pyannote[1450].start 8306.58096875
transcript.pyannote[1450].end 8319.00096875
transcript.pyannote[1451].speaker SPEAKER_18
transcript.pyannote[1451].start 8319.25409375
transcript.pyannote[1451].end 8320.63784375
transcript.pyannote[1452].speaker SPEAKER_18
transcript.pyannote[1452].start 8321.17784375
transcript.pyannote[1452].end 8344.02659375
transcript.pyannote[1453].speaker SPEAKER_18
transcript.pyannote[1453].start 8344.70159375
transcript.pyannote[1453].end 8353.18971875
transcript.pyannote[1454].speaker SPEAKER_18
transcript.pyannote[1454].start 8353.40909375
transcript.pyannote[1454].end 8354.91096875
transcript.pyannote[1455].speaker SPEAKER_18
transcript.pyannote[1455].start 8356.64909375
transcript.pyannote[1455].end 8357.25659375
transcript.pyannote[1456].speaker SPEAKER_18
transcript.pyannote[1456].start 8357.83034375
transcript.pyannote[1456].end 8360.36159375
transcript.pyannote[1457].speaker SPEAKER_18
transcript.pyannote[1457].start 8360.73284375
transcript.pyannote[1457].end 8371.95471875
transcript.pyannote[1458].speaker SPEAKER_18
transcript.pyannote[1458].start 8373.05159375
transcript.pyannote[1458].end 8373.96284375
transcript.pyannote[1459].speaker SPEAKER_18
transcript.pyannote[1459].start 8374.62096875
transcript.pyannote[1459].end 8375.21159375
transcript.pyannote[1460].speaker SPEAKER_18
transcript.pyannote[1460].start 8375.98784375
transcript.pyannote[1460].end 8376.96659375
transcript.pyannote[1461].speaker SPEAKER_18
transcript.pyannote[1461].start 8377.18596875
transcript.pyannote[1461].end 8378.46846875
transcript.pyannote[1462].speaker SPEAKER_18
transcript.pyannote[1462].start 8378.80596875
transcript.pyannote[1462].end 8379.76784375
transcript.pyannote[1463].speaker SPEAKER_18
transcript.pyannote[1463].start 8379.81846875
transcript.pyannote[1463].end 8381.79284375
transcript.pyannote[1464].speaker SPEAKER_18
transcript.pyannote[1464].start 8382.28221875
transcript.pyannote[1464].end 8400.67596875
transcript.pyannote[1465].speaker SPEAKER_18
transcript.pyannote[1465].start 8401.09784375
transcript.pyannote[1465].end 8409.04596875
transcript.pyannote[1466].speaker SPEAKER_18
transcript.pyannote[1466].start 8409.68721875
transcript.pyannote[1466].end 8418.17534375
transcript.pyannote[1467].speaker SPEAKER_18
transcript.pyannote[1467].start 8419.57596875
transcript.pyannote[1467].end 8463.68721875
transcript.pyannote[1468].speaker SPEAKER_18
transcript.pyannote[1468].start 8463.99096875
transcript.pyannote[1468].end 8478.58784375
transcript.pyannote[1469].speaker SPEAKER_18
transcript.pyannote[1469].start 8479.22909375
transcript.pyannote[1469].end 8482.41846875
transcript.pyannote[1470].speaker SPEAKER_18
transcript.pyannote[1470].start 8483.14409375
transcript.pyannote[1470].end 8487.22784375
transcript.pyannote[1471].speaker SPEAKER_18
transcript.pyannote[1471].start 8487.61596875
transcript.pyannote[1471].end 8488.00409375
transcript.pyannote[1472].speaker SPEAKER_18
transcript.pyannote[1472].start 8489.87721875
transcript.pyannote[1472].end 8490.29909375
transcript.pyannote[1473].speaker SPEAKER_18
transcript.pyannote[1473].start 8490.67034375
transcript.pyannote[1473].end 8490.80534375
transcript.pyannote[1474].speaker SPEAKER_18
transcript.pyannote[1474].start 8491.36221875
transcript.pyannote[1474].end 8492.71221875
transcript.pyannote[1475].speaker SPEAKER_18
transcript.pyannote[1475].start 8492.96534375
transcript.pyannote[1475].end 8495.54721875
transcript.pyannote[1476].speaker SPEAKER_18
transcript.pyannote[1476].start 8496.25596875
transcript.pyannote[1476].end 8497.40346875
transcript.pyannote[1477].speaker SPEAKER_18
transcript.pyannote[1477].start 8498.38221875
transcript.pyannote[1477].end 8507.54534375
transcript.pyannote[1478].speaker SPEAKER_18
transcript.pyannote[1478].start 8509.63784375
transcript.pyannote[1478].end 8509.94159375
transcript.pyannote[1479].speaker SPEAKER_18
transcript.pyannote[1479].start 8511.79784375
transcript.pyannote[1479].end 8513.11409375
transcript.pyannote[1480].speaker SPEAKER_18
transcript.pyannote[1480].start 8513.35034375
transcript.pyannote[1480].end 8513.72159375
transcript.pyannote[1481].speaker SPEAKER_18
transcript.pyannote[1481].start 8513.92409375
transcript.pyannote[1481].end 8553.14159375
transcript.pyannote[1482].speaker SPEAKER_18
transcript.pyannote[1482].start 8553.41159375
transcript.pyannote[1482].end 8553.74909375
transcript.pyannote[1483].speaker SPEAKER_18
transcript.pyannote[1483].start 8554.79534375
transcript.pyannote[1483].end 8555.26784375
transcript.pyannote[1484].speaker SPEAKER_18
transcript.pyannote[1484].start 8555.87534375
transcript.pyannote[1484].end 8568.12659375
transcript.pyannote[1485].speaker SPEAKER_18
transcript.pyannote[1485].start 8568.98721875
transcript.pyannote[1485].end 8579.97284375
transcript.pyannote[1486].speaker SPEAKER_18
transcript.pyannote[1486].start 8580.27659375
transcript.pyannote[1486].end 8595.19409375
transcript.pyannote[1487].speaker SPEAKER_18
transcript.pyannote[1487].start 8595.81846875
transcript.pyannote[1487].end 8629.95659375
transcript.pyannote[1488].speaker SPEAKER_18
transcript.pyannote[1488].start 8630.44596875
transcript.pyannote[1488].end 8631.66096875
transcript.pyannote[1489].speaker SPEAKER_18
transcript.pyannote[1489].start 8632.45409375
transcript.pyannote[1489].end 8651.67471875
transcript.pyannote[1490].speaker SPEAKER_18
transcript.pyannote[1490].start 8652.36659375
transcript.pyannote[1490].end 8655.43784375
transcript.pyannote[1491].speaker SPEAKER_18
transcript.pyannote[1491].start 8655.75846875
transcript.pyannote[1491].end 8660.12909375
transcript.pyannote[1492].speaker SPEAKER_18
transcript.pyannote[1492].start 8660.75346875
transcript.pyannote[1492].end 8678.48909375
transcript.pyannote[1493].speaker SPEAKER_25
transcript.pyannote[1493].start 8680.53096875
transcript.pyannote[1493].end 8682.42096875
transcript.pyannote[1494].speaker SPEAKER_25
transcript.pyannote[1494].start 8682.96096875
transcript.pyannote[1494].end 8685.54284375
transcript.pyannote[1495].speaker SPEAKER_04
transcript.pyannote[1495].start 8692.20846875
transcript.pyannote[1495].end 8695.98846875
transcript.pyannote[1496].speaker SPEAKER_04
transcript.pyannote[1496].start 8697.01784375
transcript.pyannote[1496].end 8698.19909375
transcript.pyannote[1497].speaker SPEAKER_04
transcript.pyannote[1497].start 8698.23284375
transcript.pyannote[1497].end 8699.32971875
transcript.pyannote[1498].speaker SPEAKER_04
transcript.pyannote[1498].start 8699.76846875
transcript.pyannote[1498].end 8707.71659375
transcript.pyannote[1499].speaker SPEAKER_04
transcript.pyannote[1499].start 8708.96534375
transcript.pyannote[1499].end 8716.03596875
transcript.pyannote[1500].speaker SPEAKER_04
transcript.pyannote[1500].start 8717.94284375
transcript.pyannote[1500].end 8731.79721875
transcript.pyannote[1501].speaker SPEAKER_04
transcript.pyannote[1501].start 8732.91096875
transcript.pyannote[1501].end 8738.49659375
transcript.pyannote[1502].speaker SPEAKER_04
transcript.pyannote[1502].start 8739.28971875
transcript.pyannote[1502].end 8743.33971875
transcript.pyannote[1503].speaker SPEAKER_04
transcript.pyannote[1503].start 8743.54221875
transcript.pyannote[1503].end 8760.09659375
transcript.pyannote[1504].speaker SPEAKER_04
transcript.pyannote[1504].start 8760.82221875
transcript.pyannote[1504].end 8762.79659375
transcript.pyannote[1505].speaker SPEAKER_04
transcript.pyannote[1505].start 8763.16784375
transcript.pyannote[1505].end 8763.97784375
transcript.pyannote[1506].speaker SPEAKER_04
transcript.pyannote[1506].start 8764.46721875
transcript.pyannote[1506].end 8768.23034375
transcript.pyannote[1507].speaker SPEAKER_04
transcript.pyannote[1507].start 8768.87159375
transcript.pyannote[1507].end 8771.65596875
transcript.pyannote[1508].speaker SPEAKER_04
transcript.pyannote[1508].start 8771.97659375
transcript.pyannote[1508].end 8773.83284375
transcript.pyannote[1509].speaker SPEAKER_04
transcript.pyannote[1509].start 8774.28846875
transcript.pyannote[1509].end 8777.34284375
transcript.pyannote[1510].speaker SPEAKER_04
transcript.pyannote[1510].start 8777.44409375
transcript.pyannote[1510].end 8779.38471875
transcript.pyannote[1511].speaker SPEAKER_04
transcript.pyannote[1511].start 8779.97534375
transcript.pyannote[1511].end 8781.88221875
transcript.pyannote[1512].speaker SPEAKER_04
transcript.pyannote[1512].start 8782.55721875
transcript.pyannote[1512].end 8783.60346875
transcript.pyannote[1513].speaker SPEAKER_04
transcript.pyannote[1513].start 8784.41346875
transcript.pyannote[1513].end 8785.13909375
transcript.pyannote[1514].speaker SPEAKER_04
transcript.pyannote[1514].start 8785.52721875
transcript.pyannote[1514].end 8786.99534375
transcript.pyannote[1515].speaker SPEAKER_04
transcript.pyannote[1515].start 8787.34971875
transcript.pyannote[1515].end 8797.22159375
transcript.pyannote[1516].speaker SPEAKER_04
transcript.pyannote[1516].start 8798.20034375
transcript.pyannote[1516].end 8798.94284375
transcript.pyannote[1517].speaker SPEAKER_04
transcript.pyannote[1517].start 8799.16221875
transcript.pyannote[1517].end 8801.42346875
transcript.pyannote[1518].speaker SPEAKER_04
transcript.pyannote[1518].start 8801.82846875
transcript.pyannote[1518].end 8803.14471875
transcript.pyannote[1519].speaker SPEAKER_04
transcript.pyannote[1519].start 8803.49909375
transcript.pyannote[1519].end 8814.09659375
transcript.pyannote[1520].speaker SPEAKER_04
transcript.pyannote[1520].start 8814.88971875
transcript.pyannote[1520].end 8816.17221875
transcript.pyannote[1521].speaker SPEAKER_04
transcript.pyannote[1521].start 8816.86409375
transcript.pyannote[1521].end 8822.34846875
transcript.pyannote[1522].speaker SPEAKER_04
transcript.pyannote[1522].start 8823.96846875
transcript.pyannote[1522].end 8825.92596875
transcript.pyannote[1523].speaker SPEAKER_04
transcript.pyannote[1523].start 8826.41534375
transcript.pyannote[1523].end 8827.29284375
transcript.pyannote[1524].speaker SPEAKER_04
transcript.pyannote[1524].start 8828.05221875
transcript.pyannote[1524].end 8829.97596875
transcript.pyannote[1525].speaker SPEAKER_04
transcript.pyannote[1525].start 8830.51596875
transcript.pyannote[1525].end 8830.88721875
transcript.pyannote[1526].speaker SPEAKER_04
transcript.pyannote[1526].start 8831.84909375
transcript.pyannote[1526].end 8835.10596875
transcript.pyannote[1527].speaker SPEAKER_04
transcript.pyannote[1527].start 8836.10159375
transcript.pyannote[1527].end 8840.64096875
transcript.pyannote[1528].speaker SPEAKER_04
transcript.pyannote[1528].start 8841.38346875
transcript.pyannote[1528].end 8841.85596875
transcript.pyannote[1529].speaker SPEAKER_04
transcript.pyannote[1529].start 8842.71659375
transcript.pyannote[1529].end 8842.86846875
transcript.pyannote[1530].speaker SPEAKER_04
transcript.pyannote[1530].start 8843.32409375
transcript.pyannote[1530].end 8850.24284375
transcript.pyannote[1531].speaker SPEAKER_04
transcript.pyannote[1531].start 8850.98534375
transcript.pyannote[1531].end 8854.25909375
transcript.pyannote[1532].speaker SPEAKER_04
transcript.pyannote[1532].start 8854.78221875
transcript.pyannote[1532].end 8858.64659375
transcript.pyannote[1533].speaker SPEAKER_04
transcript.pyannote[1533].start 8860.41846875
transcript.pyannote[1533].end 8860.94159375
transcript.pyannote[1534].speaker SPEAKER_04
transcript.pyannote[1534].start 8861.43096875
transcript.pyannote[1534].end 8862.81471875
transcript.pyannote[1535].speaker SPEAKER_04
transcript.pyannote[1535].start 8864.28284375
transcript.pyannote[1535].end 8864.75534375
transcript.pyannote[1536].speaker SPEAKER_04
transcript.pyannote[1536].start 8865.31221875
transcript.pyannote[1536].end 8866.56096875
transcript.pyannote[1537].speaker SPEAKER_04
transcript.pyannote[1537].start 8866.96596875
transcript.pyannote[1537].end 8869.76721875
transcript.pyannote[1538].speaker SPEAKER_05
transcript.pyannote[1538].start 8870.08784375
transcript.pyannote[1538].end 8870.35784375
transcript.pyannote[1539].speaker SPEAKER_04
transcript.pyannote[1539].start 8871.13409375
transcript.pyannote[1539].end 8871.97784375
transcript.pyannote[1540].speaker SPEAKER_04
transcript.pyannote[1540].start 8872.61909375
transcript.pyannote[1540].end 8873.15909375
transcript.pyannote[1541].speaker SPEAKER_04
transcript.pyannote[1541].start 8873.58096875
transcript.pyannote[1541].end 8873.91846875
transcript.pyannote[1542].speaker SPEAKER_04
transcript.pyannote[1542].start 8874.81284375
transcript.pyannote[1542].end 8875.36971875
transcript.pyannote[1543].speaker SPEAKER_04
transcript.pyannote[1543].start 8875.97721875
transcript.pyannote[1543].end 8876.92221875
transcript.pyannote[1544].speaker SPEAKER_04
transcript.pyannote[1544].start 8877.24284375
transcript.pyannote[1544].end 8881.15784375
transcript.pyannote[1545].speaker SPEAKER_04
transcript.pyannote[1545].start 8882.54159375
transcript.pyannote[1545].end 8887.95846875
transcript.pyannote[1546].speaker SPEAKER_04
transcript.pyannote[1546].start 8888.44784375
transcript.pyannote[1546].end 8893.32471875
transcript.pyannote[1547].speaker SPEAKER_04
transcript.pyannote[1547].start 8894.40471875
transcript.pyannote[1547].end 8898.45471875
transcript.pyannote[1548].speaker SPEAKER_04
transcript.pyannote[1548].start 8898.91034375
transcript.pyannote[1548].end 8901.67784375
transcript.pyannote[1549].speaker SPEAKER_04
transcript.pyannote[1549].start 8902.03221875
transcript.pyannote[1549].end 8904.66471875
transcript.pyannote[1550].speaker SPEAKER_04
transcript.pyannote[1550].start 8905.15409375
transcript.pyannote[1550].end 8912.17409375
transcript.pyannote[1551].speaker SPEAKER_04
transcript.pyannote[1551].start 8912.30909375
transcript.pyannote[1551].end 8919.31221875
transcript.pyannote[1552].speaker SPEAKER_04
transcript.pyannote[1552].start 8920.12221875
transcript.pyannote[1552].end 8922.21471875
transcript.pyannote[1553].speaker SPEAKER_04
transcript.pyannote[1553].start 8922.68721875
transcript.pyannote[1553].end 8924.52659375
transcript.pyannote[1554].speaker SPEAKER_04
transcript.pyannote[1554].start 8924.62784375
transcript.pyannote[1554].end 8926.34909375
transcript.pyannote[1555].speaker SPEAKER_04
transcript.pyannote[1555].start 8926.78784375
transcript.pyannote[1555].end 8927.42909375
transcript.pyannote[1556].speaker SPEAKER_04
transcript.pyannote[1556].start 8928.18846875
transcript.pyannote[1556].end 8931.85034375
transcript.pyannote[1557].speaker SPEAKER_04
transcript.pyannote[1557].start 8932.39034375
transcript.pyannote[1557].end 8932.74471875
transcript.pyannote[1558].speaker SPEAKER_04
transcript.pyannote[1558].start 8933.25096875
transcript.pyannote[1558].end 8934.31409375
transcript.pyannote[1559].speaker SPEAKER_04
transcript.pyannote[1559].start 8935.09034375
transcript.pyannote[1559].end 8938.95471875
transcript.pyannote[1560].speaker SPEAKER_04
transcript.pyannote[1560].start 8939.39346875
transcript.pyannote[1560].end 8941.14846875
transcript.pyannote[1561].speaker SPEAKER_04
transcript.pyannote[1561].start 8941.67159375
transcript.pyannote[1561].end 8945.02971875
transcript.pyannote[1562].speaker SPEAKER_04
transcript.pyannote[1562].start 8945.23221875
transcript.pyannote[1562].end 8945.73846875
transcript.pyannote[1563].speaker SPEAKER_04
transcript.pyannote[1563].start 8946.97034375
transcript.pyannote[1563].end 8947.84784375
transcript.pyannote[1564].speaker SPEAKER_04
transcript.pyannote[1564].start 8949.36659375
transcript.pyannote[1564].end 8950.24409375
transcript.pyannote[1565].speaker SPEAKER_04
transcript.pyannote[1565].start 8951.05409375
transcript.pyannote[1565].end 8951.94846875
transcript.pyannote[1566].speaker SPEAKER_04
transcript.pyannote[1566].start 8952.55596875
transcript.pyannote[1566].end 8953.87221875
transcript.pyannote[1567].speaker SPEAKER_04
transcript.pyannote[1567].start 8953.97346875
transcript.pyannote[1567].end 8955.94784375
transcript.pyannote[1568].speaker SPEAKER_04
transcript.pyannote[1568].start 8956.30221875
transcript.pyannote[1568].end 8962.66409375
transcript.pyannote[1569].speaker SPEAKER_04
transcript.pyannote[1569].start 8963.00159375
transcript.pyannote[1569].end 8967.38909375
transcript.pyannote[1570].speaker SPEAKER_04
transcript.pyannote[1570].start 8969.02596875
transcript.pyannote[1570].end 8975.87721875
transcript.pyannote[1571].speaker SPEAKER_04
transcript.pyannote[1571].start 8976.51846875
transcript.pyannote[1571].end 8978.44221875
transcript.pyannote[1572].speaker SPEAKER_04
transcript.pyannote[1572].start 8979.16784375
transcript.pyannote[1572].end 8979.74159375
transcript.pyannote[1573].speaker SPEAKER_04
transcript.pyannote[1573].start 8980.24784375
transcript.pyannote[1573].end 8981.53034375
transcript.pyannote[1574].speaker SPEAKER_04
transcript.pyannote[1574].start 8982.10409375
transcript.pyannote[1574].end 8983.79159375
transcript.pyannote[1575].speaker SPEAKER_04
transcript.pyannote[1575].start 8984.43284375
transcript.pyannote[1575].end 8987.33534375
transcript.pyannote[1576].speaker SPEAKER_04
transcript.pyannote[1576].start 8988.97221875
transcript.pyannote[1576].end 8993.35971875
transcript.pyannote[1577].speaker SPEAKER_04
transcript.pyannote[1577].start 8993.49471875
transcript.pyannote[1577].end 8998.79346875
transcript.pyannote[1578].speaker SPEAKER_04
transcript.pyannote[1578].start 9000.75096875
transcript.pyannote[1578].end 9001.30784375
transcript.pyannote[1579].speaker SPEAKER_04
transcript.pyannote[1579].start 9001.81409375
transcript.pyannote[1579].end 9024.00471875
transcript.pyannote[1580].speaker SPEAKER_04
transcript.pyannote[1580].start 9024.62909375
transcript.pyannote[1580].end 9027.02534375
transcript.pyannote[1581].speaker SPEAKER_04
transcript.pyannote[1581].start 9027.19409375
transcript.pyannote[1581].end 9028.32471875
transcript.pyannote[1582].speaker SPEAKER_04
transcript.pyannote[1582].start 9029.15159375
transcript.pyannote[1582].end 9033.62346875
transcript.pyannote[1583].speaker SPEAKER_25
transcript.pyannote[1583].start 9036.54284375
transcript.pyannote[1583].end 9038.19659375
transcript.pyannote[1584].speaker SPEAKER_25
transcript.pyannote[1584].start 9039.10784375
transcript.pyannote[1584].end 9042.98909375
transcript.pyannote[1585].speaker SPEAKER_25
transcript.pyannote[1585].start 9046.00971875
transcript.pyannote[1585].end 9046.29659375
transcript.pyannote[1586].speaker SPEAKER_25
transcript.pyannote[1586].start 9047.66346875
transcript.pyannote[1586].end 9047.84909375
transcript.pyannote[1587].speaker SPEAKER_05
transcript.pyannote[1587].start 9052.27034375
transcript.pyannote[1587].end 9053.94096875
transcript.pyannote[1588].speaker SPEAKER_23
transcript.pyannote[1588].start 9056.65784375
transcript.pyannote[1588].end 9057.34971875
transcript.pyannote[1589].speaker SPEAKER_23
transcript.pyannote[1589].start 9057.67034375
transcript.pyannote[1589].end 9059.94846875
transcript.pyannote[1590].speaker SPEAKER_23
transcript.pyannote[1590].start 9060.58971875
transcript.pyannote[1590].end 9061.85534375
transcript.pyannote[1591].speaker SPEAKER_23
transcript.pyannote[1591].start 9062.34471875
transcript.pyannote[1591].end 9064.60596875
transcript.pyannote[1592].speaker SPEAKER_23
transcript.pyannote[1592].start 9065.61846875
transcript.pyannote[1592].end 9067.12034375
transcript.pyannote[1593].speaker SPEAKER_23
transcript.pyannote[1593].start 9067.33971875
transcript.pyannote[1593].end 9068.70659375
transcript.pyannote[1594].speaker SPEAKER_23
transcript.pyannote[1594].start 9069.49971875
transcript.pyannote[1594].end 9070.68096875
transcript.pyannote[1595].speaker SPEAKER_23
transcript.pyannote[1595].start 9071.38971875
transcript.pyannote[1595].end 9072.58784375
transcript.pyannote[1596].speaker SPEAKER_23
transcript.pyannote[1596].start 9073.49909375
transcript.pyannote[1596].end 9075.22034375
transcript.pyannote[1597].speaker SPEAKER_23
transcript.pyannote[1597].start 9075.52409375
transcript.pyannote[1597].end 9077.46471875
transcript.pyannote[1598].speaker SPEAKER_23
transcript.pyannote[1598].start 9078.22409375
transcript.pyannote[1598].end 9080.40096875
transcript.pyannote[1599].speaker SPEAKER_23
transcript.pyannote[1599].start 9080.78909375
transcript.pyannote[1599].end 9083.69159375
transcript.pyannote[1600].speaker SPEAKER_23
transcript.pyannote[1600].start 9084.56909375
transcript.pyannote[1600].end 9088.82159375
transcript.pyannote[1601].speaker SPEAKER_23
transcript.pyannote[1601].start 9089.32784375
transcript.pyannote[1601].end 9090.01971875
transcript.pyannote[1602].speaker SPEAKER_23
transcript.pyannote[1602].start 9090.45846875
transcript.pyannote[1602].end 9096.26346875
transcript.pyannote[1603].speaker SPEAKER_23
transcript.pyannote[1603].start 9096.82034375
transcript.pyannote[1603].end 9098.33909375
transcript.pyannote[1604].speaker SPEAKER_23
transcript.pyannote[1604].start 9099.28409375
transcript.pyannote[1604].end 9100.46534375
transcript.pyannote[1605].speaker SPEAKER_23
transcript.pyannote[1605].start 9101.47784375
transcript.pyannote[1605].end 9101.91659375
transcript.pyannote[1606].speaker SPEAKER_23
transcript.pyannote[1606].start 9102.30471875
transcript.pyannote[1606].end 9103.38471875
transcript.pyannote[1607].speaker SPEAKER_23
transcript.pyannote[1607].start 9103.70534375
transcript.pyannote[1607].end 9105.20721875
transcript.pyannote[1608].speaker SPEAKER_23
transcript.pyannote[1608].start 9106.74284375
transcript.pyannote[1608].end 9107.16471875
transcript.pyannote[1609].speaker SPEAKER_23
transcript.pyannote[1609].start 9107.94096875
transcript.pyannote[1609].end 9109.76346875
transcript.pyannote[1610].speaker SPEAKER_23
transcript.pyannote[1610].start 9111.02909375
transcript.pyannote[1610].end 9111.87284375
transcript.pyannote[1611].speaker SPEAKER_23
transcript.pyannote[1611].start 9112.44659375
transcript.pyannote[1611].end 9113.18909375
transcript.pyannote[1612].speaker SPEAKER_23
transcript.pyannote[1612].start 9113.56034375
transcript.pyannote[1612].end 9116.71596875
transcript.pyannote[1613].speaker SPEAKER_23
transcript.pyannote[1613].start 9116.80034375
transcript.pyannote[1613].end 9118.70721875
transcript.pyannote[1614].speaker SPEAKER_23
transcript.pyannote[1614].start 9119.28096875
transcript.pyannote[1614].end 9120.19221875
transcript.pyannote[1615].speaker SPEAKER_23
transcript.pyannote[1615].start 9120.47909375
transcript.pyannote[1615].end 9121.76159375
transcript.pyannote[1616].speaker SPEAKER_23
transcript.pyannote[1616].start 9123.01034375
transcript.pyannote[1616].end 9127.02659375
transcript.pyannote[1617].speaker SPEAKER_23
transcript.pyannote[1617].start 9127.49909375
transcript.pyannote[1617].end 9131.04284375
transcript.pyannote[1618].speaker SPEAKER_23
transcript.pyannote[1618].start 9131.75159375
transcript.pyannote[1618].end 9132.34221875
transcript.pyannote[1619].speaker SPEAKER_23
transcript.pyannote[1619].start 9133.00034375
transcript.pyannote[1619].end 9134.16471875
transcript.pyannote[1620].speaker SPEAKER_23
transcript.pyannote[1620].start 9134.48534375
transcript.pyannote[1620].end 9136.13909375
transcript.pyannote[1621].speaker SPEAKER_23
transcript.pyannote[1621].start 9138.14721875
transcript.pyannote[1621].end 9140.08784375
transcript.pyannote[1622].speaker SPEAKER_23
transcript.pyannote[1622].start 9140.45909375
transcript.pyannote[1622].end 9141.99471875
transcript.pyannote[1623].speaker SPEAKER_23
transcript.pyannote[1623].start 9142.90596875
transcript.pyannote[1623].end 9143.85096875
transcript.pyannote[1624].speaker SPEAKER_23
transcript.pyannote[1624].start 9144.34034375
transcript.pyannote[1624].end 9145.65659375
transcript.pyannote[1625].speaker SPEAKER_23
transcript.pyannote[1625].start 9145.99409375
transcript.pyannote[1625].end 9147.39471875
transcript.pyannote[1626].speaker SPEAKER_23
transcript.pyannote[1626].start 9147.71534375
transcript.pyannote[1626].end 9148.84596875
transcript.pyannote[1627].speaker SPEAKER_23
transcript.pyannote[1627].start 9150.07784375
transcript.pyannote[1627].end 9151.25909375
transcript.pyannote[1628].speaker SPEAKER_23
transcript.pyannote[1628].start 9151.54596875
transcript.pyannote[1628].end 9155.03909375
transcript.pyannote[1629].speaker SPEAKER_23
transcript.pyannote[1629].start 9156.06846875
transcript.pyannote[1629].end 9156.74346875
transcript.pyannote[1630].speaker SPEAKER_23
transcript.pyannote[1630].start 9157.72221875
transcript.pyannote[1630].end 9158.78534375
transcript.pyannote[1631].speaker SPEAKER_23
transcript.pyannote[1631].start 9159.51096875
transcript.pyannote[1631].end 9159.81471875
transcript.pyannote[1632].speaker SPEAKER_23
transcript.pyannote[1632].start 9160.06784375
transcript.pyannote[1632].end 9161.13096875
transcript.pyannote[1633].speaker SPEAKER_23
transcript.pyannote[1633].start 9161.72159375
transcript.pyannote[1633].end 9162.78471875
transcript.pyannote[1634].speaker SPEAKER_23
transcript.pyannote[1634].start 9164.48909375
transcript.pyannote[1634].end 9166.04159375
transcript.pyannote[1635].speaker SPEAKER_23
transcript.pyannote[1635].start 9166.71659375
transcript.pyannote[1635].end 9167.27346875
transcript.pyannote[1636].speaker SPEAKER_23
transcript.pyannote[1636].start 9167.54346875
transcript.pyannote[1636].end 9170.41221875
transcript.pyannote[1637].speaker SPEAKER_23
transcript.pyannote[1637].start 9171.17159375
transcript.pyannote[1637].end 9174.93471875
transcript.pyannote[1638].speaker SPEAKER_23
transcript.pyannote[1638].start 9175.50846875
transcript.pyannote[1638].end 9177.07784375
transcript.pyannote[1639].speaker SPEAKER_23
transcript.pyannote[1639].start 9177.53346875
transcript.pyannote[1639].end 9178.52909375
transcript.pyannote[1640].speaker SPEAKER_23
transcript.pyannote[1640].start 9179.18721875
transcript.pyannote[1640].end 9180.38534375
transcript.pyannote[1641].speaker SPEAKER_23
transcript.pyannote[1641].start 9181.14471875
transcript.pyannote[1641].end 9182.03909375
transcript.pyannote[1642].speaker SPEAKER_23
transcript.pyannote[1642].start 9182.32596875
transcript.pyannote[1642].end 9183.77721875
transcript.pyannote[1643].speaker SPEAKER_23
transcript.pyannote[1643].start 9184.75596875
transcript.pyannote[1643].end 9186.25784375
transcript.pyannote[1644].speaker SPEAKER_23
transcript.pyannote[1644].start 9186.76409375
transcript.pyannote[1644].end 9187.67534375
transcript.pyannote[1645].speaker SPEAKER_23
transcript.pyannote[1645].start 9188.31659375
transcript.pyannote[1645].end 9188.97471875
transcript.pyannote[1646].speaker SPEAKER_23
transcript.pyannote[1646].start 9189.21096875
transcript.pyannote[1646].end 9189.76784375
transcript.pyannote[1647].speaker SPEAKER_23
transcript.pyannote[1647].start 9189.95346875
transcript.pyannote[1647].end 9190.52721875
transcript.pyannote[1648].speaker SPEAKER_23
transcript.pyannote[1648].start 9191.55659375
transcript.pyannote[1648].end 9193.26096875
transcript.pyannote[1649].speaker SPEAKER_23
transcript.pyannote[1649].start 9194.74596875
transcript.pyannote[1649].end 9196.46721875
transcript.pyannote[1650].speaker SPEAKER_23
transcript.pyannote[1650].start 9197.34471875
transcript.pyannote[1650].end 9198.20534375
transcript.pyannote[1651].speaker SPEAKER_23
transcript.pyannote[1651].start 9198.52596875
transcript.pyannote[1651].end 9200.28096875
transcript.pyannote[1652].speaker SPEAKER_23
transcript.pyannote[1652].start 9200.90534375
transcript.pyannote[1652].end 9202.77846875
transcript.pyannote[1653].speaker SPEAKER_23
transcript.pyannote[1653].start 9203.85846875
transcript.pyannote[1653].end 9206.42346875
transcript.pyannote[1654].speaker SPEAKER_23
transcript.pyannote[1654].start 9207.35159375
transcript.pyannote[1654].end 9209.66346875
transcript.pyannote[1655].speaker SPEAKER_23
transcript.pyannote[1655].start 9210.03471875
transcript.pyannote[1655].end 9212.92034375
transcript.pyannote[1656].speaker SPEAKER_23
transcript.pyannote[1656].start 9213.94971875
transcript.pyannote[1656].end 9214.81034375
transcript.pyannote[1657].speaker SPEAKER_23
transcript.pyannote[1657].start 9215.23221875
transcript.pyannote[1657].end 9216.31221875
transcript.pyannote[1658].speaker SPEAKER_23
transcript.pyannote[1658].start 9216.91971875
transcript.pyannote[1658].end 9220.14284375
transcript.pyannote[1659].speaker SPEAKER_23
transcript.pyannote[1659].start 9220.42971875
transcript.pyannote[1659].end 9221.47596875
transcript.pyannote[1660].speaker SPEAKER_23
transcript.pyannote[1660].start 9221.86409375
transcript.pyannote[1660].end 9224.07471875
transcript.pyannote[1661].speaker SPEAKER_23
transcript.pyannote[1661].start 9225.49221875
transcript.pyannote[1661].end 9227.41596875
transcript.pyannote[1662].speaker SPEAKER_23
transcript.pyannote[1662].start 9227.95596875
transcript.pyannote[1662].end 9228.74909375
transcript.pyannote[1663].speaker SPEAKER_23
transcript.pyannote[1663].start 9229.12034375
transcript.pyannote[1663].end 9229.71096875
transcript.pyannote[1664].speaker SPEAKER_23
transcript.pyannote[1664].start 9231.43221875
transcript.pyannote[1664].end 9232.30971875
transcript.pyannote[1665].speaker SPEAKER_23
transcript.pyannote[1665].start 9232.71471875
transcript.pyannote[1665].end 9235.63409375
transcript.pyannote[1666].speaker SPEAKER_23
transcript.pyannote[1666].start 9236.14034375
transcript.pyannote[1666].end 9237.49034375
transcript.pyannote[1667].speaker SPEAKER_23
transcript.pyannote[1667].start 9238.58721875
transcript.pyannote[1667].end 9239.21159375
transcript.pyannote[1668].speaker SPEAKER_23
transcript.pyannote[1668].start 9240.05534375
transcript.pyannote[1668].end 9240.51096875
transcript.pyannote[1669].speaker SPEAKER_23
transcript.pyannote[1669].start 9242.09721875
transcript.pyannote[1669].end 9243.53159375
transcript.pyannote[1670].speaker SPEAKER_23
transcript.pyannote[1670].start 9244.07159375
transcript.pyannote[1670].end 9246.36659375
transcript.pyannote[1671].speaker SPEAKER_23
transcript.pyannote[1671].start 9247.71659375
transcript.pyannote[1671].end 9248.42534375
transcript.pyannote[1672].speaker SPEAKER_23
transcript.pyannote[1672].start 9249.38721875
transcript.pyannote[1672].end 9251.58096875
transcript.pyannote[1673].speaker SPEAKER_23
transcript.pyannote[1673].start 9252.17159375
transcript.pyannote[1673].end 9253.52159375
transcript.pyannote[1674].speaker SPEAKER_23
transcript.pyannote[1674].start 9254.46659375
transcript.pyannote[1674].end 9259.96784375
transcript.pyannote[1675].speaker SPEAKER_23
transcript.pyannote[1675].start 9261.53721875
transcript.pyannote[1675].end 9262.34721875
transcript.pyannote[1676].speaker SPEAKER_23
transcript.pyannote[1676].start 9262.58346875
transcript.pyannote[1676].end 9264.30471875
transcript.pyannote[1677].speaker SPEAKER_23
transcript.pyannote[1677].start 9265.72221875
transcript.pyannote[1677].end 9267.44346875
transcript.pyannote[1678].speaker SPEAKER_23
transcript.pyannote[1678].start 9267.71346875
transcript.pyannote[1678].end 9268.97909375
transcript.pyannote[1679].speaker SPEAKER_23
transcript.pyannote[1679].start 9269.38409375
transcript.pyannote[1679].end 9271.35846875
transcript.pyannote[1680].speaker SPEAKER_23
transcript.pyannote[1680].start 9271.93221875
transcript.pyannote[1680].end 9273.02909375
transcript.pyannote[1681].speaker SPEAKER_23
transcript.pyannote[1681].start 9274.39596875
transcript.pyannote[1681].end 9275.81346875
transcript.pyannote[1682].speaker SPEAKER_23
transcript.pyannote[1682].start 9276.06659375
transcript.pyannote[1682].end 9276.57284375
transcript.pyannote[1683].speaker SPEAKER_23
transcript.pyannote[1683].start 9276.84284375
transcript.pyannote[1683].end 9282.66471875
transcript.pyannote[1684].speaker SPEAKER_23
transcript.pyannote[1684].start 9283.10346875
transcript.pyannote[1684].end 9284.99346875
transcript.pyannote[1685].speaker SPEAKER_23
transcript.pyannote[1685].start 9286.41096875
transcript.pyannote[1685].end 9292.45221875
transcript.pyannote[1686].speaker SPEAKER_23
transcript.pyannote[1686].start 9292.94159375
transcript.pyannote[1686].end 9295.54034375
transcript.pyannote[1687].speaker SPEAKER_23
transcript.pyannote[1687].start 9295.74284375
transcript.pyannote[1687].end 9297.12659375
transcript.pyannote[1688].speaker SPEAKER_23
transcript.pyannote[1688].start 9297.80159375
transcript.pyannote[1688].end 9299.20221875
transcript.pyannote[1689].speaker SPEAKER_23
transcript.pyannote[1689].start 9300.63659375
transcript.pyannote[1689].end 9302.71221875
transcript.pyannote[1690].speaker SPEAKER_23
transcript.pyannote[1690].start 9303.37034375
transcript.pyannote[1690].end 9303.91034375
transcript.pyannote[1691].speaker SPEAKER_23
transcript.pyannote[1691].start 9304.23096875
transcript.pyannote[1691].end 9306.00284375
transcript.pyannote[1692].speaker SPEAKER_23
transcript.pyannote[1692].start 9306.77909375
transcript.pyannote[1692].end 9311.11596875
transcript.pyannote[1693].speaker SPEAKER_23
transcript.pyannote[1693].start 9311.74034375
transcript.pyannote[1693].end 9313.20846875
transcript.pyannote[1694].speaker SPEAKER_23
transcript.pyannote[1694].start 9314.37284375
transcript.pyannote[1694].end 9315.04784375
transcript.pyannote[1695].speaker SPEAKER_23
transcript.pyannote[1695].start 9315.30096875
transcript.pyannote[1695].end 9316.16159375
transcript.pyannote[1696].speaker SPEAKER_23
transcript.pyannote[1696].start 9316.48221875
transcript.pyannote[1696].end 9319.08096875
transcript.pyannote[1697].speaker SPEAKER_23
transcript.pyannote[1697].start 9319.46909375
transcript.pyannote[1697].end 9320.39721875
transcript.pyannote[1698].speaker SPEAKER_23
transcript.pyannote[1698].start 9321.02159375
transcript.pyannote[1698].end 9321.59534375
transcript.pyannote[1699].speaker SPEAKER_23
transcript.pyannote[1699].start 9322.65846875
transcript.pyannote[1699].end 9323.33346875
transcript.pyannote[1700].speaker SPEAKER_23
transcript.pyannote[1700].start 9324.58221875
transcript.pyannote[1700].end 9325.24034375
transcript.pyannote[1701].speaker SPEAKER_23
transcript.pyannote[1701].start 9325.88159375
transcript.pyannote[1701].end 9328.17659375
transcript.pyannote[1702].speaker SPEAKER_23
transcript.pyannote[1702].start 9328.49721875
transcript.pyannote[1702].end 9329.62784375
transcript.pyannote[1703].speaker SPEAKER_23
transcript.pyannote[1703].start 9329.96534375
transcript.pyannote[1703].end 9331.78784375
transcript.pyannote[1704].speaker SPEAKER_23
transcript.pyannote[1704].start 9332.93534375
transcript.pyannote[1704].end 9333.77909375
transcript.pyannote[1705].speaker SPEAKER_23
transcript.pyannote[1705].start 9334.38659375
transcript.pyannote[1705].end 9335.97284375
transcript.pyannote[1706].speaker SPEAKER_23
transcript.pyannote[1706].start 9336.54659375
transcript.pyannote[1706].end 9337.37346875
transcript.pyannote[1707].speaker SPEAKER_23
transcript.pyannote[1707].start 9338.67284375
transcript.pyannote[1707].end 9341.33909375
transcript.pyannote[1708].speaker SPEAKER_23
transcript.pyannote[1708].start 9342.87471875
transcript.pyannote[1708].end 9345.18659375
transcript.pyannote[1709].speaker SPEAKER_23
transcript.pyannote[1709].start 9345.55784375
transcript.pyannote[1709].end 9349.79346875
transcript.pyannote[1710].speaker SPEAKER_23
transcript.pyannote[1710].start 9350.50221875
transcript.pyannote[1710].end 9351.93659375
transcript.pyannote[1711].speaker SPEAKER_23
transcript.pyannote[1711].start 9352.13909375
transcript.pyannote[1711].end 9354.48471875
transcript.pyannote[1712].speaker SPEAKER_23
transcript.pyannote[1712].start 9354.82221875
transcript.pyannote[1712].end 9355.71659375
transcript.pyannote[1713].speaker SPEAKER_23
transcript.pyannote[1713].start 9356.81346875
transcript.pyannote[1713].end 9359.53034375
transcript.pyannote[1714].speaker SPEAKER_23
transcript.pyannote[1714].start 9360.52596875
transcript.pyannote[1714].end 9361.42034375
transcript.pyannote[1715].speaker SPEAKER_23
transcript.pyannote[1715].start 9362.41596875
transcript.pyannote[1715].end 9363.47909375
transcript.pyannote[1716].speaker SPEAKER_23
transcript.pyannote[1716].start 9364.44096875
transcript.pyannote[1716].end 9365.48721875
transcript.pyannote[1717].speaker SPEAKER_23
transcript.pyannote[1717].start 9366.31409375
transcript.pyannote[1717].end 9367.83284375
transcript.pyannote[1718].speaker SPEAKER_23
transcript.pyannote[1718].start 9368.65971875
transcript.pyannote[1718].end 9370.65096875
transcript.pyannote[1719].speaker SPEAKER_23
transcript.pyannote[1719].start 9371.57909375
transcript.pyannote[1719].end 9374.56596875
transcript.pyannote[1720].speaker SPEAKER_23
transcript.pyannote[1720].start 9375.12284375
transcript.pyannote[1720].end 9378.31221875
transcript.pyannote[1721].speaker SPEAKER_23
transcript.pyannote[1721].start 9378.80159375
transcript.pyannote[1721].end 9379.39221875
transcript.pyannote[1722].speaker SPEAKER_23
transcript.pyannote[1722].start 9381.01221875
transcript.pyannote[1722].end 9383.88096875
transcript.pyannote[1723].speaker SPEAKER_23
transcript.pyannote[1723].start 9384.01596875
transcript.pyannote[1723].end 9386.19284375
transcript.pyannote[1724].speaker SPEAKER_23
transcript.pyannote[1724].start 9387.32346875
transcript.pyannote[1724].end 9388.79159375
transcript.pyannote[1725].speaker SPEAKER_23
transcript.pyannote[1725].start 9389.46659375
transcript.pyannote[1725].end 9391.39034375
transcript.pyannote[1726].speaker SPEAKER_23
transcript.pyannote[1726].start 9392.04846875
transcript.pyannote[1726].end 9395.99721875
transcript.pyannote[1727].speaker SPEAKER_23
transcript.pyannote[1727].start 9396.25034375
transcript.pyannote[1727].end 9397.02659375
transcript.pyannote[1728].speaker SPEAKER_23
transcript.pyannote[1728].start 9398.20784375
transcript.pyannote[1728].end 9401.54909375
transcript.pyannote[1729].speaker SPEAKER_23
transcript.pyannote[1729].start 9401.81909375
transcript.pyannote[1729].end 9404.48534375
transcript.pyannote[1730].speaker SPEAKER_23
transcript.pyannote[1730].start 9405.04221875
transcript.pyannote[1730].end 9408.58596875
transcript.pyannote[1731].speaker SPEAKER_23
transcript.pyannote[1731].start 9408.67034375
transcript.pyannote[1731].end 9410.30721875
transcript.pyannote[1732].speaker SPEAKER_23
transcript.pyannote[1732].start 9411.75846875
transcript.pyannote[1732].end 9412.29846875
transcript.pyannote[1733].speaker SPEAKER_23
transcript.pyannote[1733].start 9413.10846875
transcript.pyannote[1733].end 9414.03659375
transcript.pyannote[1734].speaker SPEAKER_23
transcript.pyannote[1734].start 9414.74534375
transcript.pyannote[1734].end 9425.59596875
transcript.pyannote[1735].speaker SPEAKER_25
transcript.pyannote[1735].start 9428.90346875
transcript.pyannote[1735].end 9433.39221875
transcript.pyannote[1736].speaker SPEAKER_10
transcript.pyannote[1736].start 9459.04221875
transcript.pyannote[1736].end 9467.05784375
transcript.pyannote[1737].speaker SPEAKER_10
transcript.pyannote[1737].start 9467.31096875
transcript.pyannote[1737].end 9479.39346875
transcript.pyannote[1738].speaker SPEAKER_10
transcript.pyannote[1738].start 9479.57909375
transcript.pyannote[1738].end 9523.04909375
transcript.pyannote[1739].speaker SPEAKER_10
transcript.pyannote[1739].start 9523.50471875
transcript.pyannote[1739].end 9524.29784375
transcript.pyannote[1740].speaker SPEAKER_10
transcript.pyannote[1740].start 9524.68596875
transcript.pyannote[1740].end 9534.03471875
transcript.pyannote[1741].speaker SPEAKER_10
transcript.pyannote[1741].start 9534.20346875
transcript.pyannote[1741].end 9559.11096875
transcript.pyannote[1742].speaker SPEAKER_10
transcript.pyannote[1742].start 9560.05596875
transcript.pyannote[1742].end 9565.65846875
transcript.pyannote[1743].speaker SPEAKER_10
transcript.pyannote[1743].start 9566.06346875
transcript.pyannote[1743].end 9567.70034375
transcript.pyannote[1744].speaker SPEAKER_10
transcript.pyannote[1744].start 9568.39221875
transcript.pyannote[1744].end 9571.98659375
transcript.pyannote[1745].speaker SPEAKER_10
transcript.pyannote[1745].start 9572.08784375
transcript.pyannote[1745].end 9575.86784375
transcript.pyannote[1746].speaker SPEAKER_10
transcript.pyannote[1746].start 9576.35721875
transcript.pyannote[1746].end 9577.03221875
transcript.pyannote[1747].speaker SPEAKER_10
transcript.pyannote[1747].start 9577.28534375
transcript.pyannote[1747].end 9602.49659375
transcript.pyannote[1748].speaker SPEAKER_10
transcript.pyannote[1748].start 9602.76659375
transcript.pyannote[1748].end 9604.75784375
transcript.pyannote[1749].speaker SPEAKER_10
transcript.pyannote[1749].start 9604.99409375
transcript.pyannote[1749].end 9605.92221875
transcript.pyannote[1750].speaker SPEAKER_10
transcript.pyannote[1750].start 9606.15846875
transcript.pyannote[1750].end 9607.22159375
transcript.pyannote[1751].speaker SPEAKER_10
transcript.pyannote[1751].start 9608.84159375
transcript.pyannote[1751].end 9610.37721875
transcript.pyannote[1752].speaker SPEAKER_10
transcript.pyannote[1752].start 9610.47846875
transcript.pyannote[1752].end 9611.86221875
transcript.pyannote[1753].speaker SPEAKER_10
transcript.pyannote[1753].start 9612.13221875
transcript.pyannote[1753].end 9613.87034375
transcript.pyannote[1754].speaker SPEAKER_10
transcript.pyannote[1754].start 9614.14034375
transcript.pyannote[1754].end 9617.07659375
transcript.pyannote[1755].speaker SPEAKER_10
transcript.pyannote[1755].start 9617.29596875
transcript.pyannote[1755].end 9617.73471875
transcript.pyannote[1756].speaker SPEAKER_10
transcript.pyannote[1756].start 9618.08909375
transcript.pyannote[1756].end 9618.39284375
transcript.pyannote[1757].speaker SPEAKER_10
transcript.pyannote[1757].start 9618.91596875
transcript.pyannote[1757].end 9620.62034375
transcript.pyannote[1758].speaker SPEAKER_10
transcript.pyannote[1758].start 9621.34596875
transcript.pyannote[1758].end 9622.02096875
transcript.pyannote[1759].speaker SPEAKER_10
transcript.pyannote[1759].start 9622.56096875
transcript.pyannote[1759].end 9623.13471875
transcript.pyannote[1760].speaker SPEAKER_10
transcript.pyannote[1760].start 9623.48909375
transcript.pyannote[1760].end 9626.03721875
transcript.pyannote[1761].speaker SPEAKER_10
transcript.pyannote[1761].start 9626.40846875
transcript.pyannote[1761].end 9627.64034375
transcript.pyannote[1762].speaker SPEAKER_10
transcript.pyannote[1762].start 9628.19721875
transcript.pyannote[1762].end 9629.32784375
transcript.pyannote[1763].speaker SPEAKER_10
transcript.pyannote[1763].start 9629.42909375
transcript.pyannote[1763].end 9631.75784375
transcript.pyannote[1764].speaker SPEAKER_10
transcript.pyannote[1764].start 9632.43284375
transcript.pyannote[1764].end 9645.47721875
transcript.pyannote[1765].speaker SPEAKER_10
transcript.pyannote[1765].start 9645.94971875
transcript.pyannote[1765].end 9647.46846875
transcript.pyannote[1766].speaker SPEAKER_10
transcript.pyannote[1766].start 9648.22784375
transcript.pyannote[1766].end 9657.42471875
transcript.pyannote[1767].speaker SPEAKER_10
transcript.pyannote[1767].start 9657.91409375
transcript.pyannote[1767].end 9659.11221875
transcript.pyannote[1768].speaker SPEAKER_10
transcript.pyannote[1768].start 9659.23034375
transcript.pyannote[1768].end 9663.76971875
transcript.pyannote[1769].speaker SPEAKER_10
transcript.pyannote[1769].start 9663.97221875
transcript.pyannote[1769].end 9668.39346875
transcript.pyannote[1770].speaker SPEAKER_10
transcript.pyannote[1770].start 9668.84909375
transcript.pyannote[1770].end 9670.14846875
transcript.pyannote[1771].speaker SPEAKER_10
transcript.pyannote[1771].start 9670.51971875
transcript.pyannote[1771].end 9673.03409375
transcript.pyannote[1772].speaker SPEAKER_10
transcript.pyannote[1772].start 9673.27034375
transcript.pyannote[1772].end 9676.08846875
transcript.pyannote[1773].speaker SPEAKER_10
transcript.pyannote[1773].start 9676.34159375
transcript.pyannote[1773].end 9677.59034375
transcript.pyannote[1774].speaker SPEAKER_10
transcript.pyannote[1774].start 9678.18096875
transcript.pyannote[1774].end 9679.22721875
transcript.pyannote[1775].speaker SPEAKER_10
transcript.pyannote[1775].start 9679.73346875
transcript.pyannote[1775].end 9681.01596875
transcript.pyannote[1776].speaker SPEAKER_10
transcript.pyannote[1776].start 9682.63596875
transcript.pyannote[1776].end 9683.07471875
transcript.pyannote[1777].speaker SPEAKER_10
transcript.pyannote[1777].start 9683.64846875
transcript.pyannote[1777].end 9684.71159375
transcript.pyannote[1778].speaker SPEAKER_10
transcript.pyannote[1778].start 9684.96471875
transcript.pyannote[1778].end 9686.07846875
transcript.pyannote[1779].speaker SPEAKER_10
transcript.pyannote[1779].start 9686.55096875
transcript.pyannote[1779].end 9688.57596875
transcript.pyannote[1780].speaker SPEAKER_10
transcript.pyannote[1780].start 9688.84596875
transcript.pyannote[1780].end 9689.75721875
transcript.pyannote[1781].speaker SPEAKER_10
transcript.pyannote[1781].start 9690.33096875
transcript.pyannote[1781].end 9691.61346875
transcript.pyannote[1782].speaker SPEAKER_10
transcript.pyannote[1782].start 9692.13659375
transcript.pyannote[1782].end 9694.92096875
transcript.pyannote[1783].speaker SPEAKER_10
transcript.pyannote[1783].start 9695.29221875
transcript.pyannote[1783].end 9696.38909375
transcript.pyannote[1784].speaker SPEAKER_10
transcript.pyannote[1784].start 9697.06409375
transcript.pyannote[1784].end 9702.36284375
transcript.pyannote[1785].speaker SPEAKER_10
transcript.pyannote[1785].start 9703.22346875
transcript.pyannote[1785].end 9707.03721875
transcript.pyannote[1786].speaker SPEAKER_10
transcript.pyannote[1786].start 9707.45909375
transcript.pyannote[1786].end 9708.87659375
transcript.pyannote[1787].speaker SPEAKER_10
transcript.pyannote[1787].start 9709.65284375
transcript.pyannote[1787].end 9713.46659375
transcript.pyannote[1788].speaker SPEAKER_10
transcript.pyannote[1788].start 9713.92221875
transcript.pyannote[1788].end 9718.56284375
transcript.pyannote[1789].speaker SPEAKER_10
transcript.pyannote[1789].start 9719.05221875
transcript.pyannote[1789].end 9720.28409375
transcript.pyannote[1790].speaker SPEAKER_10
transcript.pyannote[1790].start 9721.09409375
transcript.pyannote[1790].end 9722.19096875
transcript.pyannote[1791].speaker SPEAKER_10
transcript.pyannote[1791].start 9722.62971875
transcript.pyannote[1791].end 9723.86159375
transcript.pyannote[1792].speaker SPEAKER_10
transcript.pyannote[1792].start 9723.97971875
transcript.pyannote[1792].end 9727.92846875
transcript.pyannote[1793].speaker SPEAKER_10
transcript.pyannote[1793].start 9727.96221875
transcript.pyannote[1793].end 9730.34159375
transcript.pyannote[1794].speaker SPEAKER_10
transcript.pyannote[1794].start 9730.74659375
transcript.pyannote[1794].end 9749.41034375
transcript.pyannote[1795].speaker SPEAKER_10
transcript.pyannote[1795].start 9749.93346875
transcript.pyannote[1795].end 9751.70534375
transcript.pyannote[1796].speaker SPEAKER_10
transcript.pyannote[1796].start 9752.19471875
transcript.pyannote[1796].end 9753.30846875
transcript.pyannote[1797].speaker SPEAKER_10
transcript.pyannote[1797].start 9753.61221875
transcript.pyannote[1797].end 9755.14784375
transcript.pyannote[1798].speaker SPEAKER_10
transcript.pyannote[1798].start 9755.33346875
transcript.pyannote[1798].end 9756.78471875
transcript.pyannote[1799].speaker SPEAKER_10
transcript.pyannote[1799].start 9756.93659375
transcript.pyannote[1799].end 9757.59471875
transcript.pyannote[1800].speaker SPEAKER_10
transcript.pyannote[1800].start 9757.84784375
transcript.pyannote[1800].end 9779.07659375
transcript.pyannote[1801].speaker SPEAKER_10
transcript.pyannote[1801].start 9779.66721875
transcript.pyannote[1801].end 9784.15596875
transcript.pyannote[1802].speaker SPEAKER_10
transcript.pyannote[1802].start 9784.25721875
transcript.pyannote[1802].end 9809.21534375
transcript.pyannote[1803].speaker SPEAKER_10
transcript.pyannote[1803].start 9809.24909375
transcript.pyannote[1803].end 9823.69409375
transcript.pyannote[1804].speaker SPEAKER_25
transcript.pyannote[1804].start 9824.80784375
transcript.pyannote[1804].end 9826.36034375
transcript.pyannote[1805].speaker SPEAKER_25
transcript.pyannote[1805].start 9827.08596875
transcript.pyannote[1805].end 9829.95471875
transcript.pyannote[1806].speaker SPEAKER_22
transcript.pyannote[1806].start 9838.94909375
transcript.pyannote[1806].end 9849.98534375
transcript.pyannote[1807].speaker SPEAKER_22
transcript.pyannote[1807].start 9850.52534375
transcript.pyannote[1807].end 9971.02971875
transcript.pyannote[1808].speaker SPEAKER_22
transcript.pyannote[1808].start 9971.48534375
transcript.pyannote[1808].end 10010.78721875
transcript.pyannote[1809].speaker SPEAKER_22
transcript.pyannote[1809].start 10011.19221875
transcript.pyannote[1809].end 10051.94534375
transcript.pyannote[1810].speaker SPEAKER_22
transcript.pyannote[1810].start 10052.63721875
transcript.pyannote[1810].end 10162.78034375
transcript.pyannote[1811].speaker SPEAKER_22
transcript.pyannote[1811].start 10163.37096875
transcript.pyannote[1811].end 10166.59409375
transcript.pyannote[1812].speaker SPEAKER_22
transcript.pyannote[1812].start 10166.94846875
transcript.pyannote[1812].end 10270.96596875
transcript.pyannote[1813].speaker SPEAKER_25
transcript.pyannote[1813].start 10273.24409375
transcript.pyannote[1813].end 10277.98596875
transcript.pyannote[1814].speaker SPEAKER_05
transcript.pyannote[1814].start 10282.96409375
transcript.pyannote[1814].end 10283.89221875
transcript.pyannote[1815].speaker SPEAKER_05
transcript.pyannote[1815].start 10283.95971875
transcript.pyannote[1815].end 10284.02721875
transcript.pyannote[1816].speaker SPEAKER_05
transcript.pyannote[1816].start 10288.16159375
transcript.pyannote[1816].end 10288.58346875
transcript.pyannote[1817].speaker SPEAKER_17
transcript.pyannote[1817].start 10288.58346875
transcript.pyannote[1817].end 10290.59159375
transcript.pyannote[1818].speaker SPEAKER_11
transcript.pyannote[1818].start 10291.16534375
transcript.pyannote[1818].end 10298.64096875
transcript.pyannote[1819].speaker SPEAKER_11
transcript.pyannote[1819].start 10299.13034375
transcript.pyannote[1819].end 10300.24409375
transcript.pyannote[1820].speaker SPEAKER_11
transcript.pyannote[1820].start 10300.49721875
transcript.pyannote[1820].end 10304.12534375
transcript.pyannote[1821].speaker SPEAKER_11
transcript.pyannote[1821].start 10304.24346875
transcript.pyannote[1821].end 10310.62221875
transcript.pyannote[1822].speaker SPEAKER_11
transcript.pyannote[1822].start 10310.85846875
transcript.pyannote[1822].end 10316.64659375
transcript.pyannote[1823].speaker SPEAKER_11
transcript.pyannote[1823].start 10316.98409375
transcript.pyannote[1823].end 10320.73034375
transcript.pyannote[1824].speaker SPEAKER_11
transcript.pyannote[1824].start 10321.11846875
transcript.pyannote[1824].end 10324.29096875
transcript.pyannote[1825].speaker SPEAKER_11
transcript.pyannote[1825].start 10324.69596875
transcript.pyannote[1825].end 10327.14284375
transcript.pyannote[1826].speaker SPEAKER_11
transcript.pyannote[1826].start 10327.49721875
transcript.pyannote[1826].end 10331.19284375
transcript.pyannote[1827].speaker SPEAKER_11
transcript.pyannote[1827].start 10331.63159375
transcript.pyannote[1827].end 10334.29784375
transcript.pyannote[1828].speaker SPEAKER_11
transcript.pyannote[1828].start 10334.41596875
transcript.pyannote[1828].end 10338.02721875
transcript.pyannote[1829].speaker SPEAKER_11
transcript.pyannote[1829].start 10338.39846875
transcript.pyannote[1829].end 10339.83284375
transcript.pyannote[1830].speaker SPEAKER_11
transcript.pyannote[1830].start 10340.54159375
transcript.pyannote[1830].end 10341.87471875
transcript.pyannote[1831].speaker SPEAKER_11
transcript.pyannote[1831].start 10342.31346875
transcript.pyannote[1831].end 10345.80659375
transcript.pyannote[1832].speaker SPEAKER_11
transcript.pyannote[1832].start 10346.46471875
transcript.pyannote[1832].end 10349.78909375
transcript.pyannote[1833].speaker SPEAKER_11
transcript.pyannote[1833].start 10350.37971875
transcript.pyannote[1833].end 10351.66221875
transcript.pyannote[1834].speaker SPEAKER_11
transcript.pyannote[1834].start 10352.05034375
transcript.pyannote[1834].end 10353.97409375
transcript.pyannote[1835].speaker SPEAKER_11
transcript.pyannote[1835].start 10354.09221875
transcript.pyannote[1835].end 10355.96534375
transcript.pyannote[1836].speaker SPEAKER_11
transcript.pyannote[1836].start 10356.35346875
transcript.pyannote[1836].end 10359.15471875
transcript.pyannote[1837].speaker SPEAKER_11
transcript.pyannote[1837].start 10359.34034375
transcript.pyannote[1837].end 10364.74034375
transcript.pyannote[1838].speaker SPEAKER_11
transcript.pyannote[1838].start 10365.16221875
transcript.pyannote[1838].end 10367.00159375
transcript.pyannote[1839].speaker SPEAKER_11
transcript.pyannote[1839].start 10367.28846875
transcript.pyannote[1839].end 10385.98596875
transcript.pyannote[1840].speaker SPEAKER_11
transcript.pyannote[1840].start 10386.25596875
transcript.pyannote[1840].end 10387.85909375
transcript.pyannote[1841].speaker SPEAKER_11
transcript.pyannote[1841].start 10388.24721875
transcript.pyannote[1841].end 10388.66909375
transcript.pyannote[1842].speaker SPEAKER_11
transcript.pyannote[1842].start 10389.15846875
transcript.pyannote[1842].end 10396.27971875
transcript.pyannote[1843].speaker SPEAKER_11
transcript.pyannote[1843].start 10396.54971875
transcript.pyannote[1843].end 10398.59159375
transcript.pyannote[1844].speaker SPEAKER_11
transcript.pyannote[1844].start 10399.30034375
transcript.pyannote[1844].end 10405.86471875
transcript.pyannote[1845].speaker SPEAKER_11
transcript.pyannote[1845].start 10406.11784375
transcript.pyannote[1845].end 10413.99846875
transcript.pyannote[1846].speaker SPEAKER_11
transcript.pyannote[1846].start 10414.15034375
transcript.pyannote[1846].end 10414.69034375
transcript.pyannote[1847].speaker SPEAKER_11
transcript.pyannote[1847].start 10415.16284375
transcript.pyannote[1847].end 10416.47909375
transcript.pyannote[1848].speaker SPEAKER_11
transcript.pyannote[1848].start 10417.15409375
transcript.pyannote[1848].end 10420.78221875
transcript.pyannote[1849].speaker SPEAKER_11
transcript.pyannote[1849].start 10421.11971875
transcript.pyannote[1849].end 10423.54971875
transcript.pyannote[1850].speaker SPEAKER_11
transcript.pyannote[1850].start 10423.70159375
transcript.pyannote[1850].end 10427.27909375
transcript.pyannote[1851].speaker SPEAKER_11
transcript.pyannote[1851].start 10427.75159375
transcript.pyannote[1851].end 10435.76721875
transcript.pyannote[1852].speaker SPEAKER_11
transcript.pyannote[1852].start 10435.96971875
transcript.pyannote[1852].end 10440.67784375
transcript.pyannote[1853].speaker SPEAKER_11
transcript.pyannote[1853].start 10440.81284375
transcript.pyannote[1853].end 10452.03471875
transcript.pyannote[1854].speaker SPEAKER_11
transcript.pyannote[1854].start 10454.05971875
transcript.pyannote[1854].end 10462.04159375
transcript.pyannote[1855].speaker SPEAKER_11
transcript.pyannote[1855].start 10462.15971875
transcript.pyannote[1855].end 10469.48346875
transcript.pyannote[1856].speaker SPEAKER_11
transcript.pyannote[1856].start 10469.73659375
transcript.pyannote[1856].end 10470.93471875
transcript.pyannote[1857].speaker SPEAKER_11
transcript.pyannote[1857].start 10471.59284375
transcript.pyannote[1857].end 10473.76971875
transcript.pyannote[1858].speaker SPEAKER_11
transcript.pyannote[1858].start 10473.95534375
transcript.pyannote[1858].end 10489.46346875
transcript.pyannote[1859].speaker SPEAKER_11
transcript.pyannote[1859].start 10489.85159375
transcript.pyannote[1859].end 10497.56346875
transcript.pyannote[1860].speaker SPEAKER_11
transcript.pyannote[1860].start 10497.83346875
transcript.pyannote[1860].end 10499.18346875
transcript.pyannote[1861].speaker SPEAKER_11
transcript.pyannote[1861].start 10499.95971875
transcript.pyannote[1861].end 10507.63784375
transcript.pyannote[1862].speaker SPEAKER_11
transcript.pyannote[1862].start 10508.31284375
transcript.pyannote[1862].end 10511.78909375
transcript.pyannote[1863].speaker SPEAKER_11
transcript.pyannote[1863].start 10511.99159375
transcript.pyannote[1863].end 10515.80534375
transcript.pyannote[1864].speaker SPEAKER_11
transcript.pyannote[1864].start 10516.22721875
transcript.pyannote[1864].end 10516.73346875
transcript.pyannote[1865].speaker SPEAKER_11
transcript.pyannote[1865].start 10517.15534375
transcript.pyannote[1865].end 10519.78784375
transcript.pyannote[1866].speaker SPEAKER_11
transcript.pyannote[1866].start 10520.49659375
transcript.pyannote[1866].end 10520.85096875
transcript.pyannote[1867].speaker SPEAKER_11
transcript.pyannote[1867].start 10520.98596875
transcript.pyannote[1867].end 10527.90471875
transcript.pyannote[1868].speaker SPEAKER_11
transcript.pyannote[1868].start 10527.97221875
transcript.pyannote[1868].end 10533.40596875
transcript.pyannote[1869].speaker SPEAKER_11
transcript.pyannote[1869].start 10533.55784375
transcript.pyannote[1869].end 10535.43096875
transcript.pyannote[1870].speaker SPEAKER_11
transcript.pyannote[1870].start 10535.66721875
transcript.pyannote[1870].end 10539.48096875
transcript.pyannote[1871].speaker SPEAKER_11
transcript.pyannote[1871].start 10539.71721875
transcript.pyannote[1871].end 10541.11784375
transcript.pyannote[1872].speaker SPEAKER_11
transcript.pyannote[1872].start 10541.45534375
transcript.pyannote[1872].end 10552.08659375
transcript.pyannote[1873].speaker SPEAKER_11
transcript.pyannote[1873].start 10552.45784375
transcript.pyannote[1873].end 10552.96409375
transcript.pyannote[1874].speaker SPEAKER_11
transcript.pyannote[1874].start 10553.13284375
transcript.pyannote[1874].end 10555.71471875
transcript.pyannote[1875].speaker SPEAKER_11
transcript.pyannote[1875].start 10556.06909375
transcript.pyannote[1875].end 10557.03096875
transcript.pyannote[1876].speaker SPEAKER_11
transcript.pyannote[1876].start 10557.25034375
transcript.pyannote[1876].end 10561.80659375
transcript.pyannote[1877].speaker SPEAKER_11
transcript.pyannote[1877].start 10562.29596875
transcript.pyannote[1877].end 10562.83596875
transcript.pyannote[1878].speaker SPEAKER_11
transcript.pyannote[1878].start 10563.19034375
transcript.pyannote[1878].end 10567.08846875
transcript.pyannote[1879].speaker SPEAKER_11
transcript.pyannote[1879].start 10567.29096875
transcript.pyannote[1879].end 10571.12159375
transcript.pyannote[1880].speaker SPEAKER_11
transcript.pyannote[1880].start 10571.67846875
transcript.pyannote[1880].end 10575.82971875
transcript.pyannote[1881].speaker SPEAKER_11
transcript.pyannote[1881].start 10576.36971875
transcript.pyannote[1881].end 10578.69846875
transcript.pyannote[1882].speaker SPEAKER_11
transcript.pyannote[1882].start 10579.60971875
transcript.pyannote[1882].end 10584.13221875
transcript.pyannote[1883].speaker SPEAKER_11
transcript.pyannote[1883].start 10584.28409375
transcript.pyannote[1883].end 10585.39784375
transcript.pyannote[1884].speaker SPEAKER_11
transcript.pyannote[1884].start 10585.61721875
transcript.pyannote[1884].end 10593.75096875
transcript.pyannote[1885].speaker SPEAKER_11
transcript.pyannote[1885].start 10594.22346875
transcript.pyannote[1885].end 10595.57346875
transcript.pyannote[1886].speaker SPEAKER_11
transcript.pyannote[1886].start 10596.23159375
transcript.pyannote[1886].end 10597.51409375
transcript.pyannote[1887].speaker SPEAKER_11
transcript.pyannote[1887].start 10598.32409375
transcript.pyannote[1887].end 10599.43784375
transcript.pyannote[1888].speaker SPEAKER_11
transcript.pyannote[1888].start 10599.65721875
transcript.pyannote[1888].end 10601.69909375
transcript.pyannote[1889].speaker SPEAKER_11
transcript.pyannote[1889].start 10602.03659375
transcript.pyannote[1889].end 10605.09096875
transcript.pyannote[1890].speaker SPEAKER_11
transcript.pyannote[1890].start 10606.00221875
transcript.pyannote[1890].end 10606.05284375
transcript.pyannote[1891].speaker SPEAKER_11
transcript.pyannote[1891].start 10606.27221875
transcript.pyannote[1891].end 10609.76534375
transcript.pyannote[1892].speaker SPEAKER_11
transcript.pyannote[1892].start 10610.08596875
transcript.pyannote[1892].end 10611.89159375
transcript.pyannote[1893].speaker SPEAKER_11
transcript.pyannote[1893].start 10612.24596875
transcript.pyannote[1893].end 10614.22034375
transcript.pyannote[1894].speaker SPEAKER_11
transcript.pyannote[1894].start 10614.55784375
transcript.pyannote[1894].end 10620.90284375
transcript.pyannote[1895].speaker SPEAKER_11
transcript.pyannote[1895].start 10621.12221875
transcript.pyannote[1895].end 10627.68659375
transcript.pyannote[1896].speaker SPEAKER_11
transcript.pyannote[1896].start 10628.22659375
transcript.pyannote[1896].end 10632.24284375
transcript.pyannote[1897].speaker SPEAKER_11
transcript.pyannote[1897].start 10632.61409375
transcript.pyannote[1897].end 10635.58409375
transcript.pyannote[1898].speaker SPEAKER_11
transcript.pyannote[1898].start 10636.32659375
transcript.pyannote[1898].end 10637.15346875
transcript.pyannote[1899].speaker SPEAKER_11
transcript.pyannote[1899].start 10637.27159375
transcript.pyannote[1899].end 10639.12784375
transcript.pyannote[1900].speaker SPEAKER_11
transcript.pyannote[1900].start 10639.51596875
transcript.pyannote[1900].end 10641.38909375
transcript.pyannote[1901].speaker SPEAKER_11
transcript.pyannote[1901].start 10641.96284375
transcript.pyannote[1901].end 10644.02159375
transcript.pyannote[1902].speaker SPEAKER_11
transcript.pyannote[1902].start 10644.25784375
transcript.pyannote[1902].end 10645.16909375
transcript.pyannote[1903].speaker SPEAKER_11
transcript.pyannote[1903].start 10645.54034375
transcript.pyannote[1903].end 10646.04659375
transcript.pyannote[1904].speaker SPEAKER_11
transcript.pyannote[1904].start 10647.39659375
transcript.pyannote[1904].end 10648.03784375
transcript.pyannote[1905].speaker SPEAKER_11
transcript.pyannote[1905].start 10648.13909375
transcript.pyannote[1905].end 10649.06721875
transcript.pyannote[1906].speaker SPEAKER_23
transcript.pyannote[1906].start 10649.06721875
transcript.pyannote[1906].end 10650.07971875
transcript.pyannote[1907].speaker SPEAKER_11
transcript.pyannote[1907].start 10650.75471875
transcript.pyannote[1907].end 10651.24409375
transcript.pyannote[1908].speaker SPEAKER_23
transcript.pyannote[1908].start 10651.02471875
transcript.pyannote[1908].end 10652.71221875
transcript.pyannote[1909].speaker SPEAKER_23
transcript.pyannote[1909].start 10653.08346875
transcript.pyannote[1909].end 10654.18034375
transcript.pyannote[1910].speaker SPEAKER_11
transcript.pyannote[1910].start 10654.70346875
transcript.pyannote[1910].end 10655.02409375
transcript.pyannote[1911].speaker SPEAKER_11
transcript.pyannote[1911].start 10655.31096875
transcript.pyannote[1911].end 10656.17159375
transcript.pyannote[1912].speaker SPEAKER_11
transcript.pyannote[1912].start 10657.06596875
transcript.pyannote[1912].end 10658.80409375
transcript.pyannote[1913].speaker SPEAKER_11
transcript.pyannote[1913].start 10659.19221875
transcript.pyannote[1913].end 10659.98534375
transcript.pyannote[1914].speaker SPEAKER_11
transcript.pyannote[1914].start 10660.15409375
transcript.pyannote[1914].end 10662.19596875
transcript.pyannote[1915].speaker SPEAKER_17
transcript.pyannote[1915].start 10664.45721875
transcript.pyannote[1915].end 10664.50784375
transcript.pyannote[1916].speaker SPEAKER_11
transcript.pyannote[1916].start 10664.50784375
transcript.pyannote[1916].end 10665.28409375
transcript.pyannote[1917].speaker SPEAKER_11
transcript.pyannote[1917].start 10665.89159375
transcript.pyannote[1917].end 10667.05596875
transcript.pyannote[1918].speaker SPEAKER_11
transcript.pyannote[1918].start 10667.25846875
transcript.pyannote[1918].end 10669.03034375
transcript.pyannote[1919].speaker SPEAKER_11
transcript.pyannote[1919].start 10669.21596875
transcript.pyannote[1919].end 10671.66284375
transcript.pyannote[1920].speaker SPEAKER_11
transcript.pyannote[1920].start 10672.21971875
transcript.pyannote[1920].end 10674.19409375
transcript.pyannote[1921].speaker SPEAKER_14
transcript.pyannote[1921].start 10674.58221875
transcript.pyannote[1921].end 10675.37534375
transcript.pyannote[1922].speaker SPEAKER_11
transcript.pyannote[1922].start 10675.71284375
transcript.pyannote[1922].end 10676.08409375
transcript.pyannote[1923].speaker SPEAKER_14
transcript.pyannote[1923].start 10676.42159375
transcript.pyannote[1923].end 10678.19346875
transcript.pyannote[1924].speaker SPEAKER_11
transcript.pyannote[1924].start 10677.94034375
transcript.pyannote[1924].end 10677.95721875
transcript.pyannote[1925].speaker SPEAKER_25
transcript.pyannote[1925].start 10677.95721875
transcript.pyannote[1925].end 10678.86846875
transcript.pyannote[1926].speaker SPEAKER_11
transcript.pyannote[1926].start 10678.19346875
transcript.pyannote[1926].end 10678.21034375
transcript.pyannote[1927].speaker SPEAKER_14
transcript.pyannote[1927].start 10679.96534375
transcript.pyannote[1927].end 10680.67409375
transcript.pyannote[1928].speaker SPEAKER_25
transcript.pyannote[1928].start 10681.34909375
transcript.pyannote[1928].end 10682.37846875
transcript.pyannote[1929].speaker SPEAKER_25
transcript.pyannote[1929].start 10682.46284375
transcript.pyannote[1929].end 10683.89721875
transcript.pyannote[1930].speaker SPEAKER_25
transcript.pyannote[1930].start 10683.93096875
transcript.pyannote[1930].end 10683.94784375
transcript.pyannote[1931].speaker SPEAKER_25
transcript.pyannote[1931].start 10684.57221875
transcript.pyannote[1931].end 10684.97721875
transcript.pyannote[1932].speaker SPEAKER_11
transcript.pyannote[1932].start 10684.97721875
transcript.pyannote[1932].end 10685.63534375
transcript.pyannote[1933].speaker SPEAKER_11
transcript.pyannote[1933].start 10686.31034375
transcript.pyannote[1933].end 10687.33971875
transcript.pyannote[1934].speaker SPEAKER_11
transcript.pyannote[1934].start 10687.60971875
transcript.pyannote[1934].end 10689.11159375
transcript.pyannote[1935].speaker SPEAKER_11
transcript.pyannote[1935].start 10689.87096875
transcript.pyannote[1935].end 10690.63034375
transcript.pyannote[1936].speaker SPEAKER_11
transcript.pyannote[1936].start 10691.17034375
transcript.pyannote[1936].end 10691.74409375
transcript.pyannote[1937].speaker SPEAKER_11
transcript.pyannote[1937].start 10692.18284375
transcript.pyannote[1937].end 10692.84096875
transcript.pyannote[1938].speaker SPEAKER_11
transcript.pyannote[1938].start 10693.51596875
transcript.pyannote[1938].end 10694.19096875
transcript.pyannote[1939].speaker SPEAKER_11
transcript.pyannote[1939].start 10694.52846875
transcript.pyannote[1939].end 10695.89534375
transcript.pyannote[1940].speaker SPEAKER_11
transcript.pyannote[1940].start 10696.33409375
transcript.pyannote[1940].end 10698.51096875
transcript.pyannote[1941].speaker SPEAKER_11
transcript.pyannote[1941].start 10698.83159375
transcript.pyannote[1941].end 10700.53596875
transcript.pyannote[1942].speaker SPEAKER_11
transcript.pyannote[1942].start 10700.68784375
transcript.pyannote[1942].end 10703.30346875
transcript.pyannote[1943].speaker SPEAKER_11
transcript.pyannote[1943].start 10703.92784375
transcript.pyannote[1943].end 10704.88971875
transcript.pyannote[1944].speaker SPEAKER_11
transcript.pyannote[1944].start 10705.27784375
transcript.pyannote[1944].end 10706.71221875
transcript.pyannote[1945].speaker SPEAKER_11
transcript.pyannote[1945].start 10707.20159375
transcript.pyannote[1945].end 10709.34471875
transcript.pyannote[1946].speaker SPEAKER_11
transcript.pyannote[1946].start 10710.01971875
transcript.pyannote[1946].end 10712.85471875
transcript.pyannote[1947].speaker SPEAKER_11
transcript.pyannote[1947].start 10713.29346875
transcript.pyannote[1947].end 10714.28909375
transcript.pyannote[1948].speaker SPEAKER_11
transcript.pyannote[1948].start 10714.86284375
transcript.pyannote[1948].end 10715.60534375
transcript.pyannote[1949].speaker SPEAKER_11
transcript.pyannote[1949].start 10716.04409375
transcript.pyannote[1949].end 10716.82034375
transcript.pyannote[1950].speaker SPEAKER_11
transcript.pyannote[1950].start 10717.00596875
transcript.pyannote[1950].end 10718.59221875
transcript.pyannote[1951].speaker SPEAKER_11
transcript.pyannote[1951].start 10719.40221875
transcript.pyannote[1951].end 10720.53284375
transcript.pyannote[1952].speaker SPEAKER_11
transcript.pyannote[1952].start 10720.88721875
transcript.pyannote[1952].end 10723.14846875
transcript.pyannote[1953].speaker SPEAKER_11
transcript.pyannote[1953].start 10723.99221875
transcript.pyannote[1953].end 10725.37596875
transcript.pyannote[1954].speaker SPEAKER_15
transcript.pyannote[1954].start 10724.80221875
transcript.pyannote[1954].end 10726.91159375
transcript.pyannote[1955].speaker SPEAKER_11
transcript.pyannote[1955].start 10726.15221875
transcript.pyannote[1955].end 10727.08034375
transcript.pyannote[1956].speaker SPEAKER_15
transcript.pyannote[1956].start 10727.08034375
transcript.pyannote[1956].end 10728.44721875
transcript.pyannote[1957].speaker SPEAKER_11
transcript.pyannote[1957].start 10728.29534375
transcript.pyannote[1957].end 10729.76346875
transcript.pyannote[1958].speaker SPEAKER_11
transcript.pyannote[1958].start 10731.88971875
transcript.pyannote[1958].end 10734.55596875
transcript.pyannote[1959].speaker SPEAKER_15
transcript.pyannote[1959].start 10734.96096875
transcript.pyannote[1959].end 10736.05784375
transcript.pyannote[1960].speaker SPEAKER_15
transcript.pyannote[1960].start 10736.17596875
transcript.pyannote[1960].end 10737.44159375
transcript.pyannote[1961].speaker SPEAKER_11
transcript.pyannote[1961].start 10737.45846875
transcript.pyannote[1961].end 10739.56784375
transcript.pyannote[1962].speaker SPEAKER_11
transcript.pyannote[1962].start 10740.39471875
transcript.pyannote[1962].end 10741.49159375
transcript.pyannote[1963].speaker SPEAKER_11
transcript.pyannote[1963].start 10741.94721875
transcript.pyannote[1963].end 10742.26784375
transcript.pyannote[1964].speaker SPEAKER_11
transcript.pyannote[1964].start 10743.60096875
transcript.pyannote[1964].end 10749.22034375
transcript.pyannote[1965].speaker SPEAKER_11
transcript.pyannote[1965].start 10749.33846875
transcript.pyannote[1965].end 10752.27471875
transcript.pyannote[1966].speaker SPEAKER_15
transcript.pyannote[1966].start 10752.17346875
transcript.pyannote[1966].end 10755.80159375
transcript.pyannote[1967].speaker SPEAKER_17
transcript.pyannote[1967].start 10753.91159375
transcript.pyannote[1967].end 10753.94534375
transcript.pyannote[1968].speaker SPEAKER_17
transcript.pyannote[1968].start 10753.96221875
transcript.pyannote[1968].end 10754.24909375
transcript.pyannote[1969].speaker SPEAKER_11
transcript.pyannote[1969].start 10755.64971875
transcript.pyannote[1969].end 10756.96596875
transcript.pyannote[1970].speaker SPEAKER_15
transcript.pyannote[1970].start 10757.74221875
transcript.pyannote[1970].end 10758.11346875
transcript.pyannote[1971].speaker SPEAKER_15
transcript.pyannote[1971].start 10758.26534375
transcript.pyannote[1971].end 10758.29909375
transcript.pyannote[1972].speaker SPEAKER_11
transcript.pyannote[1972].start 10758.29909375
transcript.pyannote[1972].end 10758.31596875
transcript.pyannote[1973].speaker SPEAKER_15
transcript.pyannote[1973].start 10758.31596875
transcript.pyannote[1973].end 10758.33284375
transcript.pyannote[1974].speaker SPEAKER_11
transcript.pyannote[1974].start 10758.33284375
transcript.pyannote[1974].end 10758.51846875
transcript.pyannote[1975].speaker SPEAKER_15
transcript.pyannote[1975].start 10758.51846875
transcript.pyannote[1975].end 10758.63659375
transcript.pyannote[1976].speaker SPEAKER_15
transcript.pyannote[1976].start 10759.05846875
transcript.pyannote[1976].end 10759.58159375
transcript.pyannote[1977].speaker SPEAKER_11
transcript.pyannote[1977].start 10759.58159375
transcript.pyannote[1977].end 10759.68284375
transcript.pyannote[1978].speaker SPEAKER_15
transcript.pyannote[1978].start 10759.68284375
transcript.pyannote[1978].end 10759.78409375
transcript.pyannote[1979].speaker SPEAKER_15
transcript.pyannote[1979].start 10759.95284375
transcript.pyannote[1979].end 10760.03721875
transcript.pyannote[1980].speaker SPEAKER_15
transcript.pyannote[1980].start 10760.10471875
transcript.pyannote[1980].end 10761.77534375
transcript.pyannote[1981].speaker SPEAKER_11
transcript.pyannote[1981].start 10760.66159375
transcript.pyannote[1981].end 10761.04971875
transcript.pyannote[1982].speaker SPEAKER_11
transcript.pyannote[1982].start 10761.10034375
transcript.pyannote[1982].end 10761.21846875
transcript.pyannote[1983].speaker SPEAKER_11
transcript.pyannote[1983].start 10761.80909375
transcript.pyannote[1983].end 10776.60846875
transcript.pyannote[1984].speaker SPEAKER_15
transcript.pyannote[1984].start 10775.98409375
transcript.pyannote[1984].end 10778.39721875
transcript.pyannote[1985].speaker SPEAKER_11
transcript.pyannote[1985].start 10776.72659375
transcript.pyannote[1985].end 10777.63784375
transcript.pyannote[1986].speaker SPEAKER_11
transcript.pyannote[1986].start 10778.34659375
transcript.pyannote[1986].end 10779.27471875
transcript.pyannote[1987].speaker SPEAKER_15
transcript.pyannote[1987].start 10778.44784375
transcript.pyannote[1987].end 10779.10596875
transcript.pyannote[1988].speaker SPEAKER_15
transcript.pyannote[1988].start 10779.13971875
transcript.pyannote[1988].end 10780.06784375
transcript.pyannote[1989].speaker SPEAKER_11
transcript.pyannote[1989].start 10780.06784375
transcript.pyannote[1989].end 10781.70471875
transcript.pyannote[1990].speaker SPEAKER_15
transcript.pyannote[1990].start 10781.63721875
transcript.pyannote[1990].end 10782.29534375
transcript.pyannote[1991].speaker SPEAKER_11
transcript.pyannote[1991].start 10781.97471875
transcript.pyannote[1991].end 10786.66596875
transcript.pyannote[1992].speaker SPEAKER_15
transcript.pyannote[1992].start 10783.27409375
transcript.pyannote[1992].end 10783.40909375
transcript.pyannote[1993].speaker SPEAKER_15
transcript.pyannote[1993].start 10783.44284375
transcript.pyannote[1993].end 10783.51034375
transcript.pyannote[1994].speaker SPEAKER_11
transcript.pyannote[1994].start 10787.15534375
transcript.pyannote[1994].end 10788.94409375
transcript.pyannote[1995].speaker SPEAKER_11
transcript.pyannote[1995].start 10789.26471875
transcript.pyannote[1995].end 10790.10846875
transcript.pyannote[1996].speaker SPEAKER_11
transcript.pyannote[1996].start 10790.41221875
transcript.pyannote[1996].end 10799.42346875
transcript.pyannote[1997].speaker SPEAKER_25
transcript.pyannote[1997].start 10799.42346875
transcript.pyannote[1997].end 10799.45721875
transcript.pyannote[1998].speaker SPEAKER_25
transcript.pyannote[1998].start 10799.62596875
transcript.pyannote[1998].end 10799.64284375
transcript.pyannote[1999].speaker SPEAKER_15
transcript.pyannote[1999].start 10799.64284375
transcript.pyannote[1999].end 10801.98846875
transcript.pyannote[2000].speaker SPEAKER_11
transcript.pyannote[2000].start 10799.65971875
transcript.pyannote[2000].end 10800.11534375
transcript.pyannote[2001].speaker SPEAKER_25
transcript.pyannote[2001].start 10800.11534375
transcript.pyannote[2001].end 10800.18284375
transcript.pyannote[2002].speaker SPEAKER_11
transcript.pyannote[2002].start 10800.18284375
transcript.pyannote[2002].end 10800.21659375
transcript.pyannote[2003].speaker SPEAKER_25
transcript.pyannote[2003].start 10802.12346875
transcript.pyannote[2003].end 10808.36721875
transcript.pyannote[2004].speaker SPEAKER_17
transcript.pyannote[2004].start 10804.06409375
transcript.pyannote[2004].end 10804.08096875
transcript.pyannote[2005].speaker SPEAKER_11
transcript.pyannote[2005].start 10804.08096875
transcript.pyannote[2005].end 10804.11471875
transcript.pyannote[2006].speaker SPEAKER_17
transcript.pyannote[2006].start 10804.11471875
transcript.pyannote[2006].end 10804.30034375
transcript.pyannote[2007].speaker SPEAKER_15
transcript.pyannote[2007].start 10804.30034375
transcript.pyannote[2007].end 10804.33409375
transcript.pyannote[2008].speaker SPEAKER_17
transcript.pyannote[2008].start 10804.33409375
transcript.pyannote[2008].end 10804.35096875
transcript.pyannote[2009].speaker SPEAKER_15
transcript.pyannote[2009].start 10804.35096875
transcript.pyannote[2009].end 10806.03846875
transcript.pyannote[2010].speaker SPEAKER_11
transcript.pyannote[2010].start 10806.03846875
transcript.pyannote[2010].end 10809.46409375
transcript.pyannote[2011].speaker SPEAKER_11
transcript.pyannote[2011].start 10809.75096875
transcript.pyannote[2011].end 10811.20221875
transcript.pyannote[2012].speaker SPEAKER_25
transcript.pyannote[2012].start 10810.72971875
transcript.pyannote[2012].end 10810.79721875
transcript.pyannote[2013].speaker SPEAKER_11
transcript.pyannote[2013].start 10811.48909375
transcript.pyannote[2013].end 10816.14659375
transcript.pyannote[2014].speaker SPEAKER_25
transcript.pyannote[2014].start 10812.24846875
transcript.pyannote[2014].end 10812.36659375
transcript.pyannote[2015].speaker SPEAKER_11
transcript.pyannote[2015].start 10816.93971875
transcript.pyannote[2015].end 10825.74846875
transcript.pyannote[2016].speaker SPEAKER_15
transcript.pyannote[2016].start 10823.03159375
transcript.pyannote[2016].end 10823.09909375
transcript.pyannote[2017].speaker SPEAKER_15
transcript.pyannote[2017].start 10825.52909375
transcript.pyannote[2017].end 10827.82409375
transcript.pyannote[2018].speaker SPEAKER_15
transcript.pyannote[2018].start 10828.97159375
transcript.pyannote[2018].end 10833.56159375
transcript.pyannote[2019].speaker SPEAKER_15
transcript.pyannote[2019].start 10834.16909375
transcript.pyannote[2019].end 10842.28596875
transcript.pyannote[2020].speaker SPEAKER_11
transcript.pyannote[2020].start 10835.40096875
transcript.pyannote[2020].end 10836.22784375
transcript.pyannote[2021].speaker SPEAKER_11
transcript.pyannote[2021].start 10836.41346875
transcript.pyannote[2021].end 10837.27409375
transcript.pyannote[2022].speaker SPEAKER_11
transcript.pyannote[2022].start 10838.10096875
transcript.pyannote[2022].end 10838.97846875
transcript.pyannote[2023].speaker SPEAKER_24
transcript.pyannote[2023].start 10838.97846875
transcript.pyannote[2023].end 10839.23159375
transcript.pyannote[2024].speaker SPEAKER_11
transcript.pyannote[2024].start 10839.23159375
transcript.pyannote[2024].end 10839.28221875
transcript.pyannote[2025].speaker SPEAKER_24
transcript.pyannote[2025].start 10839.28221875
transcript.pyannote[2025].end 10839.29909375
transcript.pyannote[2026].speaker SPEAKER_24
transcript.pyannote[2026].start 10839.70409375
transcript.pyannote[2026].end 10846.18409375
transcript.pyannote[2027].speaker SPEAKER_15
transcript.pyannote[2027].start 10842.67409375
transcript.pyannote[2027].end 10842.85971875
transcript.pyannote[2028].speaker SPEAKER_25
transcript.pyannote[2028].start 10842.85971875
transcript.pyannote[2028].end 10843.33221875
transcript.pyannote[2029].speaker SPEAKER_15
transcript.pyannote[2029].start 10846.06596875
transcript.pyannote[2029].end 10846.16721875
transcript.pyannote[2030].speaker SPEAKER_15
transcript.pyannote[2030].start 10846.18409375
transcript.pyannote[2030].end 10846.62284375
transcript.pyannote[2031].speaker SPEAKER_15
transcript.pyannote[2031].start 10847.12909375
transcript.pyannote[2031].end 10850.87534375
transcript.pyannote[2032].speaker SPEAKER_24
transcript.pyannote[2032].start 10850.33534375
transcript.pyannote[2032].end 10852.69784375
transcript.pyannote[2033].speaker SPEAKER_15
transcript.pyannote[2033].start 10851.70221875
transcript.pyannote[2033].end 10851.83721875
transcript.pyannote[2034].speaker SPEAKER_15
transcript.pyannote[2034].start 10852.39409375
transcript.pyannote[2034].end 10853.42346875
transcript.pyannote[2035].speaker SPEAKER_24
transcript.pyannote[2035].start 10853.47409375
transcript.pyannote[2035].end 10857.96284375
transcript.pyannote[2036].speaker SPEAKER_15
transcript.pyannote[2036].start 10855.21221875
transcript.pyannote[2036].end 10855.97159375
transcript.pyannote[2037].speaker SPEAKER_15
transcript.pyannote[2037].start 10856.25846875
transcript.pyannote[2037].end 10856.74784375
transcript.pyannote[2038].speaker SPEAKER_11
transcript.pyannote[2038].start 10857.69284375
transcript.pyannote[2038].end 10857.79409375
transcript.pyannote[2039].speaker SPEAKER_15
transcript.pyannote[2039].start 10857.79409375
transcript.pyannote[2039].end 10858.38471875
transcript.pyannote[2040].speaker SPEAKER_11
transcript.pyannote[2040].start 10857.96284375
transcript.pyannote[2040].end 10858.23284375
transcript.pyannote[2041].speaker SPEAKER_15
transcript.pyannote[2041].start 10858.43534375
transcript.pyannote[2041].end 10858.55346875
transcript.pyannote[2042].speaker SPEAKER_15
transcript.pyannote[2042].start 10858.63784375
transcript.pyannote[2042].end 10858.68846875
transcript.pyannote[2043].speaker SPEAKER_15
transcript.pyannote[2043].start 10858.72221875
transcript.pyannote[2043].end 10858.78971875
transcript.pyannote[2044].speaker SPEAKER_11
transcript.pyannote[2044].start 10858.78971875
transcript.pyannote[2044].end 10860.32534375
transcript.pyannote[2045].speaker SPEAKER_15
transcript.pyannote[2045].start 10859.92034375
transcript.pyannote[2045].end 10862.02971875
transcript.pyannote[2046].speaker SPEAKER_11
transcript.pyannote[2046].start 10861.21971875
transcript.pyannote[2046].end 10866.02909375
transcript.pyannote[2047].speaker SPEAKER_15
transcript.pyannote[2047].start 10864.49346875
transcript.pyannote[2047].end 10864.56096875
transcript.pyannote[2048].speaker SPEAKER_17
transcript.pyannote[2048].start 10864.56096875
transcript.pyannote[2048].end 10864.61159375
transcript.pyannote[2049].speaker SPEAKER_15
transcript.pyannote[2049].start 10864.61159375
transcript.pyannote[2049].end 10864.62846875
transcript.pyannote[2050].speaker SPEAKER_17
transcript.pyannote[2050].start 10864.62846875
transcript.pyannote[2050].end 10864.72971875
transcript.pyannote[2051].speaker SPEAKER_15
transcript.pyannote[2051].start 10864.72971875
transcript.pyannote[2051].end 10865.67471875
transcript.pyannote[2052].speaker SPEAKER_11
transcript.pyannote[2052].start 10866.38346875
transcript.pyannote[2052].end 10868.77971875
transcript.pyannote[2053].speaker SPEAKER_11
transcript.pyannote[2053].start 10868.88096875
transcript.pyannote[2053].end 10870.18034375
transcript.pyannote[2054].speaker SPEAKER_11
transcript.pyannote[2054].start 10870.80471875
transcript.pyannote[2054].end 10877.31846875
transcript.pyannote[2055].speaker SPEAKER_15
transcript.pyannote[2055].start 10877.31846875
transcript.pyannote[2055].end 10877.43659375
transcript.pyannote[2056].speaker SPEAKER_11
transcript.pyannote[2056].start 10877.43659375
transcript.pyannote[2056].end 10877.89221875
transcript.pyannote[2057].speaker SPEAKER_15
transcript.pyannote[2057].start 10877.89221875
transcript.pyannote[2057].end 10878.49971875
transcript.pyannote[2058].speaker SPEAKER_25
transcript.pyannote[2058].start 10878.49971875
transcript.pyannote[2058].end 10878.56721875
transcript.pyannote[2059].speaker SPEAKER_15
transcript.pyannote[2059].start 10878.56721875
transcript.pyannote[2059].end 10878.70221875
transcript.pyannote[2060].speaker SPEAKER_11
transcript.pyannote[2060].start 10878.70221875
transcript.pyannote[2060].end 10880.69346875
transcript.pyannote[2061].speaker SPEAKER_15
transcript.pyannote[2061].start 10878.76971875
transcript.pyannote[2061].end 10880.03534375
transcript.pyannote[2062].speaker SPEAKER_25
transcript.pyannote[2062].start 10880.03534375
transcript.pyannote[2062].end 10880.05221875
transcript.pyannote[2063].speaker SPEAKER_15
transcript.pyannote[2063].start 10880.05221875
transcript.pyannote[2063].end 10889.06346875
transcript.pyannote[2064].speaker SPEAKER_25
transcript.pyannote[2064].start 10880.69346875
transcript.pyannote[2064].end 10880.71034375
transcript.pyannote[2065].speaker SPEAKER_11
transcript.pyannote[2065].start 10880.71034375
transcript.pyannote[2065].end 10880.72721875
transcript.pyannote[2066].speaker SPEAKER_25
transcript.pyannote[2066].start 10880.72721875
transcript.pyannote[2066].end 10880.74409375
transcript.pyannote[2067].speaker SPEAKER_11
transcript.pyannote[2067].start 10880.74409375
transcript.pyannote[2067].end 10881.26721875
transcript.pyannote[2068].speaker SPEAKER_25
transcript.pyannote[2068].start 10881.26721875
transcript.pyannote[2068].end 10883.64659375
transcript.pyannote[2069].speaker SPEAKER_11
transcript.pyannote[2069].start 10883.64659375
transcript.pyannote[2069].end 10883.68034375
transcript.pyannote[2070].speaker SPEAKER_25
transcript.pyannote[2070].start 10888.89471875
transcript.pyannote[2070].end 10897.06221875
transcript.pyannote[2071].speaker SPEAKER_17
transcript.pyannote[2071].start 10895.25659375
transcript.pyannote[2071].end 10895.39159375
transcript.pyannote[2072].speaker SPEAKER_25
transcript.pyannote[2072].start 10897.39971875
transcript.pyannote[2072].end 10899.67784375
transcript.pyannote[2073].speaker SPEAKER_15
transcript.pyannote[2073].start 10899.54284375
transcript.pyannote[2073].end 10899.64409375
transcript.pyannote[2074].speaker SPEAKER_17
transcript.pyannote[2074].start 10899.67784375
transcript.pyannote[2074].end 10899.96471875
transcript.pyannote[2075].speaker SPEAKER_15
transcript.pyannote[2075].start 10899.96471875
transcript.pyannote[2075].end 10901.17971875
transcript.pyannote[2076].speaker SPEAKER_25
transcript.pyannote[2076].start 10900.63971875
transcript.pyannote[2076].end 10903.59284375
transcript.pyannote[2077].speaker SPEAKER_15
transcript.pyannote[2077].start 10903.08659375
transcript.pyannote[2077].end 10905.02721875
transcript.pyannote[2078].speaker SPEAKER_15
transcript.pyannote[2078].start 10905.75284375
transcript.pyannote[2078].end 10914.64596875
transcript.pyannote[2079].speaker SPEAKER_17
transcript.pyannote[2079].start 10907.86221875
transcript.pyannote[2079].end 10909.41471875
transcript.pyannote[2080].speaker SPEAKER_17
transcript.pyannote[2080].start 10910.78159375
transcript.pyannote[2080].end 10911.96284375
transcript.pyannote[2081].speaker SPEAKER_17
transcript.pyannote[2081].start 10912.75596875
transcript.pyannote[2081].end 10912.97534375
transcript.pyannote[2082].speaker SPEAKER_00
transcript.pyannote[2082].start 10912.97534375
transcript.pyannote[2082].end 10913.02596875
transcript.pyannote[2083].speaker SPEAKER_06
transcript.pyannote[2083].start 10913.21159375
transcript.pyannote[2083].end 10914.47721875
transcript.pyannote[2084].speaker SPEAKER_15
transcript.pyannote[2084].start 10915.86096875
transcript.pyannote[2084].end 10916.40096875
transcript.pyannote[2085].speaker SPEAKER_15
transcript.pyannote[2085].start 10917.90284375
transcript.pyannote[2085].end 10917.91971875
transcript.pyannote[2086].speaker SPEAKER_15
transcript.pyannote[2086].start 10917.93659375
transcript.pyannote[2086].end 10917.98721875
transcript.pyannote[2087].speaker SPEAKER_15
transcript.pyannote[2087].start 10918.03784375
transcript.pyannote[2087].end 10918.25721875
transcript.pyannote[2088].speaker SPEAKER_15
transcript.pyannote[2088].start 10919.26971875
transcript.pyannote[2088].end 10921.02471875
transcript.pyannote[2089].speaker SPEAKER_17
transcript.pyannote[2089].start 10919.69159375
transcript.pyannote[2089].end 10919.70846875
transcript.pyannote[2090].speaker SPEAKER_15
transcript.pyannote[2090].start 10921.09221875
transcript.pyannote[2090].end 10924.34909375
transcript.pyannote[2091].speaker SPEAKER_17
transcript.pyannote[2091].start 10922.03721875
transcript.pyannote[2091].end 10924.09596875
transcript.pyannote[2092].speaker SPEAKER_25
transcript.pyannote[2092].start 10924.26471875
transcript.pyannote[2092].end 10926.61034375
transcript.pyannote[2093].speaker SPEAKER_15
transcript.pyannote[2093].start 10926.03659375
transcript.pyannote[2093].end 10926.08721875
transcript.pyannote[2094].speaker SPEAKER_15
transcript.pyannote[2094].start 10926.13784375
transcript.pyannote[2094].end 10926.22221875
transcript.pyannote[2095].speaker SPEAKER_15
transcript.pyannote[2095].start 10926.27284375
transcript.pyannote[2095].end 10926.57659375
transcript.pyannote[2096].speaker SPEAKER_15
transcript.pyannote[2096].start 10926.61034375
transcript.pyannote[2096].end 10933.81596875
transcript.pyannote[2097].speaker SPEAKER_17
transcript.pyannote[2097].start 10927.70721875
transcript.pyannote[2097].end 10929.42846875
transcript.pyannote[2098].speaker SPEAKER_25
transcript.pyannote[2098].start 10932.19596875
transcript.pyannote[2098].end 10933.09034375
transcript.pyannote[2099].speaker SPEAKER_15
transcript.pyannote[2099].start 10933.90034375
transcript.pyannote[2099].end 10938.87846875
transcript.pyannote[2100].speaker SPEAKER_25
transcript.pyannote[2100].start 10933.96784375
transcript.pyannote[2100].end 10934.20409375
transcript.pyannote[2101].speaker SPEAKER_25
transcript.pyannote[2101].start 10939.16534375
transcript.pyannote[2101].end 10941.67971875
transcript.pyannote[2102].speaker SPEAKER_15
transcript.pyannote[2102].start 10941.25784375
transcript.pyannote[2102].end 10950.21846875
transcript.pyannote[2103].speaker SPEAKER_17
transcript.pyannote[2103].start 10942.37159375
transcript.pyannote[2103].end 10942.40534375
transcript.pyannote[2104].speaker SPEAKER_25
transcript.pyannote[2104].start 10942.40534375
transcript.pyannote[2104].end 10942.42221875
transcript.pyannote[2105].speaker SPEAKER_06
transcript.pyannote[2105].start 10942.42221875
transcript.pyannote[2105].end 10942.47284375
transcript.pyannote[2106].speaker SPEAKER_25
transcript.pyannote[2106].start 10942.47284375
transcript.pyannote[2106].end 10942.50659375
transcript.pyannote[2107].speaker SPEAKER_06
transcript.pyannote[2107].start 10942.50659375
transcript.pyannote[2107].end 10942.67534375
transcript.pyannote[2108].speaker SPEAKER_17
transcript.pyannote[2108].start 10942.67534375
transcript.pyannote[2108].end 10942.79346875
transcript.pyannote[2109].speaker SPEAKER_17
transcript.pyannote[2109].start 10943.68784375
transcript.pyannote[2109].end 10944.02534375
transcript.pyannote[2110].speaker SPEAKER_06
transcript.pyannote[2110].start 10944.02534375
transcript.pyannote[2110].end 10944.41346875
transcript.pyannote[2111].speaker SPEAKER_25
transcript.pyannote[2111].start 10944.41346875
transcript.pyannote[2111].end 10944.43034375
transcript.pyannote[2112].speaker SPEAKER_06
transcript.pyannote[2112].start 10944.43034375
transcript.pyannote[2112].end 10944.48096875
transcript.pyannote[2113].speaker SPEAKER_25
transcript.pyannote[2113].start 10944.48096875
transcript.pyannote[2113].end 10944.75096875
transcript.pyannote[2114].speaker SPEAKER_06
transcript.pyannote[2114].start 10944.75096875
transcript.pyannote[2114].end 10950.04971875
transcript.pyannote[2115].speaker SPEAKER_15
transcript.pyannote[2115].start 10950.77534375
transcript.pyannote[2115].end 10961.65971875
transcript.pyannote[2116].speaker SPEAKER_06
transcript.pyannote[2116].start 10950.79221875
transcript.pyannote[2116].end 10951.36596875
transcript.pyannote[2117].speaker SPEAKER_06
transcript.pyannote[2117].start 10952.49659375
transcript.pyannote[2117].end 10953.52596875
transcript.pyannote[2118].speaker SPEAKER_02
transcript.pyannote[2118].start 10953.52596875
transcript.pyannote[2118].end 10953.76221875
transcript.pyannote[2119].speaker SPEAKER_06
transcript.pyannote[2119].start 10953.76221875
transcript.pyannote[2119].end 10954.97721875
transcript.pyannote[2120].speaker SPEAKER_02
transcript.pyannote[2120].start 10954.97721875
transcript.pyannote[2120].end 10955.02784375
transcript.pyannote[2121].speaker SPEAKER_17
transcript.pyannote[2121].start 10955.02784375
transcript.pyannote[2121].end 10955.12909375
transcript.pyannote[2122].speaker SPEAKER_02
transcript.pyannote[2122].start 10955.12909375
transcript.pyannote[2122].end 10955.38221875
transcript.pyannote[2123].speaker SPEAKER_17
transcript.pyannote[2123].start 10955.38221875
transcript.pyannote[2123].end 10957.39034375
transcript.pyannote[2124].speaker SPEAKER_02
transcript.pyannote[2124].start 10957.39034375
transcript.pyannote[2124].end 10957.47471875
transcript.pyannote[2125].speaker SPEAKER_25
transcript.pyannote[2125].start 10958.67284375
transcript.pyannote[2125].end 10959.21284375
transcript.pyannote[2126].speaker SPEAKER_00
transcript.pyannote[2126].start 10959.41534375
transcript.pyannote[2126].end 10959.51659375
transcript.pyannote[2127].speaker SPEAKER_17
transcript.pyannote[2127].start 10959.51659375
transcript.pyannote[2127].end 10959.82034375
transcript.pyannote[2128].speaker SPEAKER_25
transcript.pyannote[2128].start 10959.82034375
transcript.pyannote[2128].end 10962.70596875
transcript.pyannote[2129].speaker SPEAKER_15
transcript.pyannote[2129].start 10961.79471875
transcript.pyannote[2129].end 10965.81096875
transcript.pyannote[2130].speaker SPEAKER_25
transcript.pyannote[2130].start 10962.72284375
transcript.pyannote[2130].end 10962.75659375
transcript.pyannote[2131].speaker SPEAKER_09
transcript.pyannote[2131].start 10965.81096875
transcript.pyannote[2131].end 10970.08034375
transcript.pyannote[2132].speaker SPEAKER_09
transcript.pyannote[2132].start 10970.55284375
transcript.pyannote[2132].end 10971.19409375
transcript.pyannote[2133].speaker SPEAKER_09
transcript.pyannote[2133].start 10971.68346875
transcript.pyannote[2133].end 10973.86034375
transcript.pyannote[2134].speaker SPEAKER_09
transcript.pyannote[2134].start 10973.97846875
transcript.pyannote[2134].end 10977.31971875
transcript.pyannote[2135].speaker SPEAKER_09
transcript.pyannote[2135].start 10977.75846875
transcript.pyannote[2135].end 10979.47971875
transcript.pyannote[2136].speaker SPEAKER_09
transcript.pyannote[2136].start 10979.73284375
transcript.pyannote[2136].end 10985.72346875
transcript.pyannote[2137].speaker SPEAKER_09
transcript.pyannote[2137].start 10986.19596875
transcript.pyannote[2137].end 11016.53721875
transcript.pyannote[2138].speaker SPEAKER_06
transcript.pyannote[2138].start 11012.20034375
transcript.pyannote[2138].end 11012.82471875
transcript.pyannote[2139].speaker SPEAKER_09
transcript.pyannote[2139].start 11016.90846875
transcript.pyannote[2139].end 11025.12659375
transcript.pyannote[2140].speaker SPEAKER_15
transcript.pyannote[2140].start 11024.78909375
transcript.pyannote[2140].end 11025.29534375
transcript.pyannote[2141].speaker SPEAKER_09
transcript.pyannote[2141].start 11025.29534375
transcript.pyannote[2141].end 11026.17284375
transcript.pyannote[2142].speaker SPEAKER_15
transcript.pyannote[2142].start 11025.32909375
transcript.pyannote[2142].end 11025.41346875
transcript.pyannote[2143].speaker SPEAKER_15
transcript.pyannote[2143].start 11026.49346875
transcript.pyannote[2143].end 11027.94471875
transcript.pyannote[2144].speaker SPEAKER_25
transcript.pyannote[2144].start 11028.09659375
transcript.pyannote[2144].end 11031.18471875
transcript.pyannote[2145].speaker SPEAKER_15
transcript.pyannote[2145].start 11030.62784375
transcript.pyannote[2145].end 11032.70346875
transcript.pyannote[2146].speaker SPEAKER_15
transcript.pyannote[2146].start 11033.56409375
transcript.pyannote[2146].end 11034.77909375
transcript.pyannote[2147].speaker SPEAKER_15
transcript.pyannote[2147].start 11034.81284375
transcript.pyannote[2147].end 11036.85471875
transcript.pyannote[2148].speaker SPEAKER_15
transcript.pyannote[2148].start 11037.63096875
transcript.pyannote[2148].end 11038.98096875
transcript.pyannote[2149].speaker SPEAKER_15
transcript.pyannote[2149].start 11039.43659375
transcript.pyannote[2149].end 11042.11971875
transcript.pyannote[2150].speaker SPEAKER_03
transcript.pyannote[2150].start 11040.53346875
transcript.pyannote[2150].end 11072.05596875
transcript.pyannote[2151].speaker SPEAKER_15
transcript.pyannote[2151].start 11042.27159375
transcript.pyannote[2151].end 11043.25034375
transcript.pyannote[2152].speaker SPEAKER_15
transcript.pyannote[2152].start 11047.46909375
transcript.pyannote[2152].end 11048.46471875
transcript.pyannote[2153].speaker SPEAKER_17
transcript.pyannote[2153].start 11064.22596875
transcript.pyannote[2153].end 11065.37346875
transcript.pyannote[2154].speaker SPEAKER_17
transcript.pyannote[2154].start 11068.88346875
transcript.pyannote[2154].end 11069.94659375
transcript.pyannote[2155].speaker SPEAKER_15
transcript.pyannote[2155].start 11071.93784375
transcript.pyannote[2155].end 11072.02221875
transcript.pyannote[2156].speaker SPEAKER_17
transcript.pyannote[2156].start 11072.02221875
transcript.pyannote[2156].end 11072.03909375
transcript.pyannote[2157].speaker SPEAKER_17
transcript.pyannote[2157].start 11072.05596875
transcript.pyannote[2157].end 11072.10659375
transcript.pyannote[2158].speaker SPEAKER_03
transcript.pyannote[2158].start 11072.10659375
transcript.pyannote[2158].end 11074.11471875
transcript.pyannote[2159].speaker SPEAKER_17
transcript.pyannote[2159].start 11072.14034375
transcript.pyannote[2159].end 11073.25409375
transcript.pyannote[2160].speaker SPEAKER_03
transcript.pyannote[2160].start 11074.33409375
transcript.pyannote[2160].end 11090.12909375
transcript.pyannote[2161].speaker SPEAKER_15
transcript.pyannote[2161].start 11075.41409375
transcript.pyannote[2161].end 11075.43096875
transcript.pyannote[2162].speaker SPEAKER_17
transcript.pyannote[2162].start 11075.43096875
transcript.pyannote[2162].end 11075.97096875
transcript.pyannote[2163].speaker SPEAKER_15
transcript.pyannote[2163].start 11075.97096875
transcript.pyannote[2163].end 11076.20721875
transcript.pyannote[2164].speaker SPEAKER_17
transcript.pyannote[2164].start 11076.20721875
transcript.pyannote[2164].end 11076.27471875
transcript.pyannote[2165].speaker SPEAKER_15
transcript.pyannote[2165].start 11076.27471875
transcript.pyannote[2165].end 11076.40971875
transcript.pyannote[2166].speaker SPEAKER_17
transcript.pyannote[2166].start 11076.40971875
transcript.pyannote[2166].end 11076.44346875
transcript.pyannote[2167].speaker SPEAKER_15
transcript.pyannote[2167].start 11076.44346875
transcript.pyannote[2167].end 11077.00034375
transcript.pyannote[2168].speaker SPEAKER_15
transcript.pyannote[2168].start 11078.41784375
transcript.pyannote[2168].end 11078.48534375
transcript.pyannote[2169].speaker SPEAKER_17
transcript.pyannote[2169].start 11078.48534375
transcript.pyannote[2169].end 11079.10971875
transcript.pyannote[2170].speaker SPEAKER_15
transcript.pyannote[2170].start 11080.59471875
transcript.pyannote[2170].end 11080.76346875
transcript.pyannote[2171].speaker SPEAKER_00
transcript.pyannote[2171].start 11080.76346875
transcript.pyannote[2171].end 11080.78034375
transcript.pyannote[2172].speaker SPEAKER_17
transcript.pyannote[2172].start 11082.41721875
transcript.pyannote[2172].end 11084.07096875
transcript.pyannote[2173].speaker SPEAKER_17
transcript.pyannote[2173].start 11084.20596875
transcript.pyannote[2173].end 11084.25659375
transcript.pyannote[2174].speaker SPEAKER_17
transcript.pyannote[2174].start 11084.29034375
transcript.pyannote[2174].end 11084.32409375
transcript.pyannote[2175].speaker SPEAKER_17
transcript.pyannote[2175].start 11084.37471875
transcript.pyannote[2175].end 11085.03284375
transcript.pyannote[2176].speaker SPEAKER_15
transcript.pyannote[2176].start 11085.03284375
transcript.pyannote[2176].end 11085.91034375
transcript.pyannote[2177].speaker SPEAKER_17
transcript.pyannote[2177].start 11085.91034375
transcript.pyannote[2177].end 11086.02846875
transcript.pyannote[2178].speaker SPEAKER_17
transcript.pyannote[2178].start 11088.88034375
transcript.pyannote[2178].end 11088.96471875
transcript.pyannote[2179].speaker SPEAKER_00
transcript.pyannote[2179].start 11088.96471875
transcript.pyannote[2179].end 11089.70721875
transcript.pyannote[2180].speaker SPEAKER_03
transcript.pyannote[2180].start 11090.19659375
transcript.pyannote[2180].end 11091.69846875
transcript.pyannote[2181].speaker SPEAKER_00
transcript.pyannote[2181].start 11090.58471875
transcript.pyannote[2181].end 11090.71971875
transcript.pyannote[2182].speaker SPEAKER_15
transcript.pyannote[2182].start 11090.71971875
transcript.pyannote[2182].end 11090.93909375
transcript.pyannote[2183].speaker SPEAKER_00
transcript.pyannote[2183].start 11090.93909375
transcript.pyannote[2183].end 11090.95596875
transcript.pyannote[2184].speaker SPEAKER_15
transcript.pyannote[2184].start 11090.95596875
transcript.pyannote[2184].end 11091.58034375
transcript.pyannote[2185].speaker SPEAKER_00
transcript.pyannote[2185].start 11091.58034375
transcript.pyannote[2185].end 11091.61409375
transcript.pyannote[2186].speaker SPEAKER_03
transcript.pyannote[2186].start 11091.96846875
transcript.pyannote[2186].end 11101.75596875
transcript.pyannote[2187].speaker SPEAKER_00
transcript.pyannote[2187].start 11092.30596875
transcript.pyannote[2187].end 11092.32284375
transcript.pyannote[2188].speaker SPEAKER_15
transcript.pyannote[2188].start 11092.32284375
transcript.pyannote[2188].end 11093.92596875
transcript.pyannote[2189].speaker SPEAKER_03
transcript.pyannote[2189].start 11101.78971875
transcript.pyannote[2189].end 11102.44784375
transcript.pyannote[2190].speaker SPEAKER_03
transcript.pyannote[2190].start 11102.53221875
transcript.pyannote[2190].end 11103.25784375
transcript.pyannote[2191].speaker SPEAKER_15
transcript.pyannote[2191].start 11102.58284375
transcript.pyannote[2191].end 11104.75971875
transcript.pyannote[2192].speaker SPEAKER_03
transcript.pyannote[2192].start 11104.08471875
transcript.pyannote[2192].end 11119.59284375
transcript.pyannote[2193].speaker SPEAKER_15
transcript.pyannote[2193].start 11105.23221875
transcript.pyannote[2193].end 11107.08846875
transcript.pyannote[2194].speaker SPEAKER_15
transcript.pyannote[2194].start 11108.35409375
transcript.pyannote[2194].end 11109.65346875
transcript.pyannote[2195].speaker SPEAKER_22
transcript.pyannote[2195].start 11115.07034375
transcript.pyannote[2195].end 11115.17159375
transcript.pyannote[2196].speaker SPEAKER_25
transcript.pyannote[2196].start 11120.41971875
transcript.pyannote[2196].end 11121.97221875
transcript.pyannote[2197].speaker SPEAKER_03
transcript.pyannote[2197].start 11121.41534375
transcript.pyannote[2197].end 11122.17471875
transcript.pyannote[2198].speaker SPEAKER_25
transcript.pyannote[2198].start 11122.91721875
transcript.pyannote[2198].end 11151.79034375
transcript.pyannote[2199].speaker SPEAKER_15
transcript.pyannote[2199].start 11155.97534375
transcript.pyannote[2199].end 11156.51534375
transcript.pyannote[2200].speaker SPEAKER_17
transcript.pyannote[2200].start 11158.92846875
transcript.pyannote[2200].end 11159.72159375
transcript.pyannote[2201].speaker SPEAKER_15
transcript.pyannote[2201].start 11159.72159375
transcript.pyannote[2201].end 11163.34971875
transcript.pyannote[2202].speaker SPEAKER_15
transcript.pyannote[2202].start 11164.71659375
transcript.pyannote[2202].end 11166.85971875
transcript.pyannote[2203].speaker SPEAKER_15
transcript.pyannote[2203].start 11167.85534375
transcript.pyannote[2203].end 11168.56409375
transcript.whisperx[0].start 0.836
transcript.whisperx[0].end 0.916
transcript.whisperx[0].text 谢谢大家
transcript.whisperx[1].start 33.046
transcript.whisperx[1].end 33.302
transcript.whisperx[1].text MING PAO CANADA MING PAO TORONTO
transcript.whisperx[2].start 78.632
transcript.whisperx[2].end 79.48
transcript.whisperx[2].text MING PAO CANADA MANGA
transcript.whisperx[3].start 122.995
transcript.whisperx[3].end 146.146
transcript.whisperx[3].text 感谢观看
transcript.whisperx[4].start 159.633
transcript.whisperx[4].end 178.433
transcript.whisperx[4].text 谢谢大家
transcript.whisperx[5].start 652.856
transcript.whisperx[5].end 669.206
transcript.whisperx[5].text 好現在開始開會今天下午本會舉行供氣污染防治法公聽會謝謝各位學者專家及各政府機關代表列領指教本次公聽會探討的議題以提供為準請自行參閱各位與會的機關
transcript.whisperx[6].start 680.057
transcript.whisperx[6].end 688.629
transcript.whisperx[6].text 政府機關代表、專家學者、產業界代表、公民團體代表以及關心空氣品質與國民健康的各位先進大家下午好
transcript.whisperx[7].start 693.496
transcript.whisperx[7].end 711.524
transcript.whisperx[7].text 今天公聽會我們希望各位專家機關與民間團體能夠協助釐清幾個關鍵問題第一公法與法院管理法規之間界限應該如何劃分第二地方自治與中央以這標準之間如何取得平衡第三固定污染源許可證
transcript.whisperx[8].start 713.945
transcript.whisperx[8].end 727.294
transcript.whisperx[8].text 是否應採取風險分級第四產業可預期性與民眾健康風險如何在法制上同時被看見第五環境部經濟部衛福部是否應共同提出更完整的健康風險與產業轉型配套
transcript.whisperx[9].start 730.424
transcript.whisperx[9].end 751.954
transcript.whisperx[9].text 最后本席再次强调改善空气品质不是单一部会的责任也不是单靠一句维持现行就能够回应社会期待好的修法不应该造成行政混乱但好的治理也不能让地方政府与民众在污染风险里面面前没有工具期待今天透过充分讨论让这次空风法修法能够
transcript.whisperx[10].start 752.974
transcript.whisperx[10].end 776.402
transcript.whisperx[10].text 能從對立走向釐清 從口號走向制度從單純管制走向更成熟的風險治理謝謝各位 接下來我們進入今天的議場現在介紹在場委員歡迎理念秦昭緯陳昭之委員
transcript.whisperx[11].start 781.492
transcript.whisperx[11].end 807.062
transcript.whisperx[11].text 現在介紹在場學者專家第一 立法院法治局的前局長羅傳賢台大皇宮所助理教授嚴秀慧全國工業總會副理事長陳宏文長榮大學教授賴信治
transcript.whisperx[12].start 811.114
transcript.whisperx[12].end 834.578
transcript.whisperx[12].text 婦產科醫學會婦女健康小組召集人葉官凡陳大黃工系教授吳玉玲台中市徵好器聯盟執行長岳祥文台灣野蠻新竹心態協會常務理事陳憲政
transcript.whisperx[13].start 841.906
transcript.whisperx[13].end 858.019
transcript.whisperx[13].text 台中市大台中醫事工會前理事長魏崇耀台大醫防醫學研究所博士上均席屏東環境保護聯盟理事長洪輝祥
transcript.whisperx[14].start 867.301
transcript.whisperx[14].end 892.689
transcript.whisperx[14].text 行政機關代表 介紹在場行政機關代表環境部政務次長 謝燕如大賜環境師副市長 郭孟雲專門委員 謝仁碩衛福部社區健康組組長 劉家秀經濟部政務次長 何敬昌
transcript.whisperx[15].start 895.543
transcript.whisperx[15].end 905.689
transcript.whisperx[15].text 南雲署主任秘書 溫淑珍廠發署副署長 陳國勳國營事業管理師 中聯委員 陳建堂台電副總經理 鄭慶紅農業部永續利用師科長 杜啟華訓練師科長 鄭嘉鴻
transcript.whisperx[16].start 924.929
transcript.whisperx[16].end 952.122
transcript.whisperx[16].text 交通部國際事務司專門委員 林金生內政部民政司專門委員 董代淑黃國科院南部科學管理局主任秘書 關嘉明法務部法治司專門委員 邱立芬國務院環境醫學研究所研究員 林彬彬
transcript.whisperx[17].start 958.238
transcript.whisperx[17].end 962.646
transcript.whisperx[17].text 接下來請環境部環境部代表報告
transcript.whisperx[18].start 971.957
transcript.whisperx[18].end 998.667
transcript.whisperx[18].text 主席各位委員各位先進大家午安大家好今天非常榮幸能代表環境部受邀列席社會福利及衛生環境委員會參與空氣環防治法修法的公聽會並向各位進行報告我們都知道空氣品質的改善跟全體國民的健康息息相關這也是社會大眾非常關心的核心議題
transcript.whisperx[19].start 999.927
transcript.whisperx[19].end 1020.089
transcript.whisperx[19].text 空氣污染的來源非常多元包括工廠、電廠、機動車輛、餐飲以及露天燃燒種類相當繁多那針對這些污染源現行的空氣管防治法經過歷年來幾次的修法之後其實已經具備了相當完備的管制規範
transcript.whisperx[20].start 1021.482
transcript.whisperx[20].end 1038.012
transcript.whisperx[20].text 那在中央與地方政府多年的共同合作下我們的空氣品質已經有大幅度的改善這邊向各位報告兩個具體的數據首先全國PM2.5的手動監測年均值已經從102年的24.0微克顯著下降到114年的12.8微克降幅有46.7%
transcript.whisperx[21].start 1045.916
transcript.whisperx[21].end 1068.808
transcript.whisperx[21].text 其次全國PM2.5的總排放量也從45000多公噸降到27000多公噸減少了4成這也是全國大家一起努力的一個目前的成果那這也顯示出我們現行的各項管制措施包含固定無燃油的許可管制方式可以有效的發揮預防跟管理的成效
transcript.whisperx[22].start 1069.528
transcript.whisperx[22].end 1086.131
transcript.whisperx[22].text 那另外環境部也協同地方政府依照空污法第40條授權化設空氣品質維護區那到目前為止全國有化設了105處的空危區那持續強化移動污染源等的一個管制
transcript.whisperx[23].start 1087.032
transcript.whisperx[23].end 1103.398
transcript.whisperx[23].text 此外為落實健康臺灣的施政願景建構全面的空氣品質和國民健康守護的機制環境部已經和衛福部籌組成立了空氣污染與健康影響專家諮詢會這次由我們雙次長來主持
transcript.whisperx[24].start 1105.459
transcript.whisperx[24].end 1115.516
transcript.whisperx[24].text 到目前為止已經召開了三次會議我們持續整合了環境的防治跟公共衛生的策略來強化大眾對生活環境風險的防護實踐全民永續健康的一個願景
transcript.whisperx[25].start 1119.793
transcript.whisperx[25].end 1135.054
transcript.whisperx[25].text 那對各位委員這次提出的空汙法修正草案本部在審慎評估之後那麼有以下三點的意見來跟大家說明第一點我們認為燃料的使用它是能源管理的範疇
transcript.whisperx[26].start 1136.115
transcript.whisperx[26].end 1162.385
transcript.whisperx[26].text 那在一次修法的草案當中提到有關限制禁止生煤燃料的使用也明定了這個燃煤機組的太儲的其成那這部分其實我們認為是牽涉到國家整體的能源供應安全跟相關的法規那麼在法治層面上其實我們是覺得有一點超越了這個單純的空氣管防止法的立法規範範疇
transcript.whisperx[27].start 1164.306
transcript.whisperx[27].end 1185.903
transcript.whisperx[27].text 那第二點修改許可審查制度這個影響範圍比較廣那草案當中要求修改許可證的展延有效期間還有展延審查期間的操作規定那目前全國有將近8000家的廠商總計有13000多張的許可證那如果是修法
transcript.whisperx[28].start 1186.924
transcript.whisperx[28].end 1211.517
transcript.whisperx[28].text 過的話其實預期會有大幅增加業者申請還有地方政府的行政作業的負擔影響的範圍我們認為比較廣泛那第三點是法制面在草案中那賦予地方主管機關在許可審查展延的時候可以單方面來變更許可條件縮短有效期間那甚至要求停止操作
transcript.whisperx[29].start 1212.057
transcript.whisperx[29].end 1238.124
transcript.whisperx[29].text 那這些條文在法律的明確性方面跟現行的法律還有信賴保護原則是不是也要去檢討一下它的這個是不是有抵觸對這個相關的規定那麼草案內容也可能跟地方制度法中的地方政府制定的自治條例規定以及行政程序法中有關行政處分付款的規範那這些都我們是希望都能夠來釐清
transcript.whisperx[30].start 1239.944
transcript.whisperx[30].end 1255.598
transcript.whisperx[30].text 那最後環境部非常感謝委員們對改善空氣品質的用心跟利益任何只要對空氣品質有提升的這個做法我們都非常的歡迎也願意來配合那當然這一次呢基於這次修法內容設局
transcript.whisperx[31].start 1256.618
transcript.whisperx[31].end 1285.254
transcript.whisperx[31].text 可能有包括能源管理權限而且對於其他法律的相關性也有一些疑慮需要來消除所以我們環境部建議以現行的法規來維持暫時不用來修正但未來我們一定會持續跟地方政府緊密來合作落實並精進各項空汙改善作為把關大家的呼吸健康以上報告恭請各位委員以先進來指正謝謝大家
transcript.whisperx[32].start 1288.191
transcript.whisperx[32].end 1291.098
transcript.whisperx[32].text 謝謝次長現在請經濟部代表報告
transcript.whisperx[33].start 1301.67
transcript.whisperx[33].end 1319.916
transcript.whisperx[33].text 主席 各位委員 女士先生們 大家午安今日貴委員會安排公聽會針對大院羅委員 庭委等43人與台灣民眾黨團提出《空氣污染防治法》相關條文修正草案僅代表經濟部向貴委員會提出報告
transcript.whisperx[34].start 1321.016
transcript.whisperx[34].end 1340.136
transcript.whisperx[34].text 空氣品質攸關國民的健康為社會大眾所關注在環境部及各地環保局積極的管制目的事業主管機關和加強輔導及業者的配合改善的情況之下全國PM2.5年平均濃度從2019年降至2025年的
transcript.whisperx[35].start 1344.1
transcript.whisperx[35].end 1360.331
transcript.whisperx[35].text 比例達到改善21%中南部的改善成效更為顯著降幅達到24.4%顯見在各單位的積極配合下國人的生活品質逐漸提升本部依據行政院核定的空氣碗防治方案
transcript.whisperx[36].start 1360.791
transcript.whisperx[36].end 1381.957
transcript.whisperx[36].text 所属各机关皆积极执行空气网防治及辅导的工作具体的推动措施包含台电公司逐年推动电厂防治设备升级改善中油推动石化厂更新废弃回收系统等产业方案署及园区管理局积极推动产业空污防治技术宣导工作等
transcript.whisperx[37].start 1383.001
transcript.whisperx[37].end 1400.158
transcript.whisperx[37].text 針對這一次的提案修正第30條及27條、28條全國工業總會和工業區廠商聯合總會已經在日前發布新聞稿表示相關內容將使產業面臨停工的風險影響
transcript.whisperx[38].start 1401.86
transcript.whisperx[38].end 1431.3
transcript.whisperx[38].text 投資可預期對能源及產業的營運穩定造成以下巨大的衝擊第一許可證未完成審查及失效讓產業會面臨停工的風險提案修正第30條規定展延申請的期間操作許可效期期滿只要地方政府兩個月內未完成審查及不得操作這個後果是由產業承擔地方政府未能及時審查完成這樣的一個情況是極不合理
transcript.whisperx[39].start 1431.98
transcript.whisperx[39].end 1446.711
transcript.whisperx[39].text 第二下修許可證效期及縮短三級房市區展年的期限會衝擊產業的經濟的一個發展提案修正第三十條將許可證展年有效期間由三至五年縮短為二至五年增加
transcript.whisperx[40].start 1447.792
transcript.whisperx[40].end 1462.52
transcript.whisperx[40].text 營運的業者及主管機關行政的負擔而且不利於穩定操作會違背信賴保護原則另外修正30條新增三級防治區可縮短展年期限至兩年以下 恐使西部
transcript.whisperx[41].start 1463.919
transcript.whisperx[41].end 1491.013
transcript.whisperx[41].text 多數的電廠與高科技的產業許可證有效期限大無縮短而且會增加頻繁申請的一個負擔第三地方政府可片面強制要求業者減量造成中央和地方管制規定不一提案修正第27條刪除鼓勵業者主動申請新舊式製程同步改善污染的友善機制且直接授權地方政府可以加碼要求業者配合減量不但
transcript.whisperx[42].start 1491.853
transcript.whisperx[42].end 1506.167
transcript.whisperx[42].text 會增加營運的風險而且缺乏中央監督的機制容易產生中央跟地方管制的標準不一的情況第四 地方政府可片面公告禁止電廠使用燃料將可能衝擊全國的一個用電
transcript.whisperx[43].start 1507.588
transcript.whisperx[43].end 1532.84
transcript.whisperx[43].text 這次提案修正第28條的規定一及地方政府得直接公告禁止或限制使用生煤、燃油、SRF等燃料此舉將會導致全國各地的公民電廠將會面臨運作受到限制的一個疑慮影響國家能源供應的穩定同時各行業的工廠、鍋爐業者也可能因為燃料遭禁而無法營運
transcript.whisperx[44].start 1534.4
transcript.whisperx[44].end 1562.233
transcript.whisperx[44].text 第五法律不明明確影響企業投資的可預期性提案修正30條允許地方政府在展延審查時得以認定有削減或加嚴操作條件的必要性有健康風險之餘為由並更原許可的內容該修正的條文規範模糊空白授權反而可能會衍生執行不確定性與重複管制的疑慮
transcript.whisperx[45].start 1564.244
transcript.whisperx[45].end 1585.278
transcript.whisperx[45].text 那針對這次公聽會提案本部有以下幾項的回應的說明第一穩健推動能源轉型逐步汰換既有燃煤機組且不再新增我國從2018年開始就不再新增燃煤機組整體燃煤的發電佔比從2014年47.3%降至2025年的35.4%減少11.9%第二近年台電公司火力電廠
transcript.whisperx[46].start 1594.864
transcript.whisperx[46].end 1616
transcript.whisperx[46].text 減煤減污成效顯著台電公司過去十年重要的時機包括第一台電全火力電廠空污排放量減少近七成台中電廠第二台中電廠規劃明確蒸汽減煤及無煤化其成空污減排已近八成減排績效
transcript.whisperx[47].start 1619.862
transcript.whisperx[47].end 1624.764
transcript.whisperx[47].text 佔全台中市79%第三 興達電廠四部燃煤機組已於2025年全數轉為備用燃煤機組排放量減少99%用煤量減少97%
transcript.whisperx[48].start 1635.677
transcript.whisperx[48].end 1660.626
transcript.whisperx[48].text 第三 環境部公布整體空污排放的數據火力電廠空污排放影響占比低非主要污染的來源依據環境部資料指出電廠空污排放量占比僅占整體空污的9%力酸物污染物PM2.5影響占比只有2.3%經濟部認為空污的改善一定要全力以赴
transcript.whisperx[49].start 1663.945
transcript.whisperx[49].end 1679.476
transcript.whisperx[49].text 並從點線面等多種面向切入治理不能只針對電廠持續將衝擊民生及產業的用電的權利第四本次修正禁止燃料使用以及委員主張強制提早太除燃煤機組等將嚴重衝擊穩定供電
transcript.whisperx[50].start 1682.378
transcript.whisperx[50].end 1708.179
transcript.whisperx[50].text 本次修法授權地方政府限制燃煤使用量甚至可以禁止燃煤使用將嚴重影響全國的電力調度及供電的穩定性而且也進一步強制要求2028年底前汰除亞林界燃煤機組2033年底前汰除超超林界燃煤機組等將會使我國的供電系統失去關鍵機載的電力導致嚴重的缺電的危機
transcript.whisperx[51].start 1715.61
transcript.whisperx[51].end 1727.016
transcript.whisperx[51].text 將對全電力的系統區域的電網以及產業的產業鏈造成不可往的衝擊在全系統供電的風險方面會有2028年缺電危機以及2033年供電人會有疑慮的這樣的一個風險第二區域
transcript.whisperx[52].start 1735.204
transcript.whisperx[52].end 1753.711
transcript.whisperx[52].text 供電嚴重的一個失衡在北東電網的部分包括台北大同中山區與東的地區約有480萬人高度仰賴外部電網的一個融通若和平電廠提早在2028年底除役北東供電缺口將達500萬千瓦
transcript.whisperx[53].start 1755.532
transcript.whisperx[53].end 1778.134
transcript.whisperx[53].text 無法滿足北東地區用電的一個需求台北市內湖科技園區以及基隆河谷等用電可能會受到影響第二中部地區未來中部地區用電的一個需求持續會增加尤其中科園區以及後里園區在2030年前將新增用電約150萬千瓦
transcript.whisperx[54].start 1781.41
transcript.whisperx[54].end 1795.084
transcript.whisperx[54].text 若中國其他六部機組330萬千瓦於2028年提早退役中部仍將陷入缺電的風險更將衝擊中科及後里園區的用電需求影響中部及我國經濟的發展
transcript.whisperx[55].start 1796.485
transcript.whisperx[55].end 1818.356
transcript.whisperx[55].text 第五台中電廠燃煤基礎將逐步除役規劃2034年達成台中電廠無煤供電的一個目標各界關切中火無煤其成行政院已責成台電公司2032年重新檢討六部緊急備用燃煤基礎的存費並宣示2034年底達成台中電廠
transcript.whisperx[56].start 1819.196
transcript.whisperx[56].end 1841.246
transcript.whisperx[56].text 無煤供電的目標 敬請各界支持政府兼顧穩定供電及降低燃煤發電的務實規劃我國已經全面停止興建燃煤機組過去十年 電力業積極推動能源轉型 以氣換煤投入聚資 升級空污防治設備 整體減少空污排放近七成
transcript.whisperx[57].start 1844.166
transcript.whisperx[57].end 1849.178
transcript.whisperx[57].text 當電業已經窮盡一切的努力做到最大的減量的作為的同時空的修法
transcript.whisperx[58].start 1852.19
transcript.whisperx[58].end 1872.996
transcript.whisperx[58].text 卻罔顧影響空品的原因忽視空品改善必須多元的治理單單將空污減排焦點加諸電力恐將導致用電用減電來換減排的困境結果不僅嚴重威脅民生的用電需求重創臺灣高科技產業的國際競爭力又無助改善我國的空氣品質
transcript.whisperx[59].start 1873.996
transcript.whisperx[59].end 1891.966
transcript.whisperx[59].text 本次空污法修正的條文恐使已有固定污染源操作許可的8000家廠商面臨許可證未完成審查及失效的停工風險因此產業界也已經對外公開強烈呼籲維持現行管理機制不宜貿然通過修正草案
transcript.whisperx[60].start 1893.632
transcript.whisperx[60].end 1919.965
transcript.whisperx[60].text 修法應建立在明確且具備可預期的前提下原理為避免對企業營運能源韌性造成重大衝擊本部再次預請立法院能體察明摩維持現行空污法的管理機制以上報告敬請各位委員及專家學者指教謝謝謝謝次長補充介紹南投縣健康空氣行動聯盟發起人林翠蘭
transcript.whisperx[61].start 1923.598
transcript.whisperx[61].end 1932.805
transcript.whisperx[61].text 大衡國際法律事務所律師李全和國立中心大學皇宮系教授莊炳傑
transcript.whisperx[62].start 1940.287
transcript.whisperx[62].end 1960.584
transcript.whisperx[62].text 本次会议不汇集学者专家所提供之相关书面资料均列入记录刊登公报与会人员发言前请先宣告以下事项学者专家及本院委员每位发言时间6分钟为简报方便学者专家发言请至主席台右边的发言台
transcript.whisperx[63].start 1961.525
transcript.whisperx[63].end 1987.996
transcript.whisperx[63].text 原则上有学者专家先行一千道顺序发言委员如要发言请到主席台登记我们会议委员登记发言顺序及学者专家发言顺序交错安排进行全部人员发言完毕后再请行政机关做整体回应暂定下午四点休息十分钟现在请登记第一位罗传贤发言
transcript.whisperx[64].start 2000.666
transcript.whisperx[64].end 2028.127
transcript.whisperx[64].text 主席 國務委員 還有各位教授 還有各位來賓因為我本身是研究我的研究領域是行政法跟立法學所以我今天請就這個我所學的背景來跟各位分享我們今天的議題的一個法律的演者第一點請那個幫我翻一下 翻篇那個有沒有這個好 謝謝
transcript.whisperx[65].start 2030.319
transcript.whisperx[65].end 2057.132
transcript.whisperx[65].text 好那麼我們今天我看到因為107年我們空屋法修正的時候是用還給過地方政府有有有那個規劃錢現在已經全部歸中央那麼我們從立法學的原理來看我們雙贏互補各奪其所就是我們家在各種利益裡面來驚鴻來考量那我們立法學有一個很重要的原理就是原錢尊重於受惠福祉的調和換句話說就是我們要對
transcript.whisperx[66].start 2060.697
transcript.whisperx[66].end 2078.151
transcript.whisperx[66].text 這個先天不利益 或者是我們這個等於受惠情境 在我們現時的受惠 特殊的情境下已經不利益的人也就是我們所謂的弱勢 弱勢族群我們要給他最大的照顧 這個在立法學裡面是很重要的原理 譬如說我們對殘障者 對幼兒 對老人 對這個低收入戶我們為什麼給他很大的照顧呢 我們另外的照顧
transcript.whisperx[67].start 2089.559
transcript.whisperx[67].end 2107.991
transcript.whisperx[67].text 對地方對那個那個區域來講也有照顧的比如說我們現在的原住民區市裡面的原住民區跟部落我們都是法律都給他們就是公法人的地位既有公法人他透視地位透視另外我們也給離島建設條例給離島
transcript.whisperx[68].start 2110.632
transcript.whisperx[68].end 2124.148
transcript.whisperx[68].text 給他免關 減免稅階給他這個管制的一個比較優惠寬容這些呢 就都是對這個人權尊重所有福祉那我們知道這個
transcript.whisperx[69].start 2125.609
transcript.whisperx[69].end 2142.415
transcript.whisperx[69].text 地方的洗口錢或燃煤的洗口錢只要沒有改回來的話那我們會認為有背離對人錢的尊重這部分對弱勢族群是不利的因為我們電廠所在地的人民是受苦的以上
transcript.whisperx[70].start 2143.075
transcript.whisperx[70].end 2167.113
transcript.whisperx[70].text 第二個 我們要注意因地制宜 規劃難免使用洗口這個才有正當性因為空氣污染既有高度的地域性質 這個我不再強制我們為什麼過去很多的法治都給地方政府很大的權力譬如說都更啦 都市建設啦 或者是交通管制啦
transcript.whisperx[71].start 2168.654
transcript.whisperx[71].end 2187.094
transcript.whisperx[71].text 還有環保的問題的部分包括垃圾都是下放給地方為什麼呢因為地方政府有地方的民力比較貼近地方一方面他們也會提高他的行政效力就從這個地方政府的權力來看要下放給地方有他的好處在內
transcript.whisperx[72].start 2188.576
transcript.whisperx[72].end 2208.617
transcript.whisperx[72].text 比較符合正當性因為我們這個燃煤這個東西因為燃煤電廠所在地的人他是一個受害者他是一個非常不利益的人我們希望能夠盡量做到這一點第三點我認為地方燃煤使用吸口症才能達到立法目的你們知道我們所謂的立法第一條我們所謂法治第一條都有立法目的
transcript.whisperx[73].start 2209.238
transcript.whisperx[73].end 2225.032
transcript.whisperx[73].text 第一條 那我們空氣污染防治法第一條說為了防治空氣污染維護生活環境及國民健康這一計畫維護生活環境國民健康這個就是最重要的就是我們達成因為這個我們的第一條立法目的就是
transcript.whisperx[74].start 2226.129
transcript.whisperx[74].end 2249.474
transcript.whisperx[74].text 我們一般我們在食物上我們叫做火抽土他帶動了所有後面的條文他也說是一個我們門檻的一個要素他的創造了後面的條文那我們看後面條文呢這個有沒有增加維護生物環境國民健康呢目前真的是有爭議的嘛目前是爭議中所以這一次才有修法的空間我們就知道這個PM2.5這個東西造成我們
transcript.whisperx[75].start 2253.636
transcript.whisperx[75].end 2275.233
transcript.whisperx[75].text 當地的政府的 我們人民的國民健康跟他的恐懼感 空污的恐懼感這就是我們第一條沒有達成嘛 表示我們現在還沒有達成所以第一條目的沒有貫措接下來我們現在有定環保基本法那麼因為各位知道我們本來是定在那個基本國措現在基本國措當時候講說經濟與
transcript.whisperx[76].start 2278.275
transcript.whisperx[76].end 2296.137
transcript.whisperx[76].text 環保堅守並細應該兩個共同發展但是因為環境一直改變中我們還訂了一個環保基本法訂除了基本國座以外還訂了一個基本法這個基本法這是一個核心的東西
transcript.whisperx[77].start 2297.839
transcript.whisperx[77].end 2315.586
transcript.whisperx[77].text 他這裡面有特別提到很多條我現在這個proport裡面所提到過級政府啦還有這個地方政府啦這個就是他們要給他們進到有空污防治的一個權限那麼我們再要符合功能最適的原因我們立法裡面說我們要找到那個公權力要權力分配的時候我們給他功能最適的機關才做
transcript.whisperx[78].start 2325.33
transcript.whisperx[78].end 2330.233
transcript.whisperx[78].text 那我們公有罪事機關,我們陣內應該是地方政府來做比較,要看它裡面的事項我舉個例子,我以前當過,我最早期當過新聞局的廣電處長那廣電處裡面管那個有線電視跟無線,它是不一樣的法源無線就管電視,廣播電視,廣播電視因為它有頻道的問題
transcript.whisperx[79].start 2350.504
transcript.whisperx[79].end 2371.218
transcript.whisperx[79].text 有線電視沒有頻道問題頻道的稀少性我們能夠有幾家無線電台300多家廣播電台沒有另外其他增加的空間因為頻道是稀少性那麼這個有線電視它是拉線拉線就是造成地方的政府的我們說都市觀戰的問題所以要注意功能最適
transcript.whisperx[80].start 2382.109
transcript.whisperx[80].end 2383.353
transcript.whisperx[80].text 謝謝羅傳賢局長接下來請嚴秀慧教授
transcript.whisperx[81].start 2398.852
transcript.whisperx[81].end 2414.367
transcript.whisperx[81].text 主席各位委員各位先進大家好今天很榮幸能到這邊來跟大家分享一些我對於空法修正草案的看法還有我們今天所要討論的議題那因為這些年來在學校裡面
transcript.whisperx[82].start 2414.963
transcript.whisperx[82].end 2437.259
transcript.whisperx[82].text 所教授的是環保法規的課程所以在這個研究的過程跟教學的經過歷程中那大概對於我們空污法的行使還有一個立法的順序還有立法的理由大概都有一些研究跟探討所以想這邊跟各位報告一下那首先對於我們議題裡面提到的減煤
transcript.whisperx[83].start 2438.24
transcript.whisperx[83].end 2456.772
transcript.whisperx[83].text 那減煤的確是有它的重要性跟必要性不過因為我們國內的行政法體系其實是非常的完整所以在空法的修法過程中期待能夠在我們行政法體系之下還有符合各項的法律原理原則的前提下來進行
transcript.whisperx[84].start 2457.993
transcript.whisperx[84].end 2484.978
transcript.whisperx[84].text 譬如說不當廉潔的禁止還有平等原則還有我們比例原則等等那如果這些原則都可以符合的話我相信我們的空污法它的修正跟它的執行都更能達到我們希望達到的目的那第二個想要談到的是我們有看到立法委員所提出來的一些修正案那裡面對於空污法的第27條有所修正
transcript.whisperx[85].start 2485.678
transcript.whisperx[85].end 2512.256
transcript.whisperx[85].text 那27条这一条如果查询我们立法院的立法原由立法历程里面的资料可以看得出来其实它是在民国81年的时候新增的那这个新增这个条款呢倒也不是无中生有它是参考国外的政策那在我们立法院的资料里面很明确的写到27条它是参考国外所谓的污染泡
transcript.whisperx[86].start 2512.756
transcript.whisperx[86].end 2516.438
transcript.whisperx[86].text 污染源的改善是由於防治技術的不同所需的投資也不同
transcript.whisperx[87].start 2529.767
transcript.whisperx[87].end 2550.798
transcript.whisperx[87].text 那基於數個污染源排放總量管制跟經濟效益的考慮所以在有利於空氣品質的前提下希望個別污染源的排放可以不受到排放標準的限制那我想這樣的立法考量就是要將有限的資源來做最有效的配置那我們目前在
transcript.whisperx[88].start 2551.559
transcript.whisperx[88].end 2569.741
transcript.whisperx[88].text 講究永續發展那各位也可以知道永續發展其實是除了環境以外經濟跟社會其他的面向也都非常的重要所以我想這個污染砲的政策它其實是非常符合我們三大面向兼顧的這樣子的目標跟精神
transcript.whisperx[89].start 2570.422
transcript.whisperx[89].end 2588.109
transcript.whisperx[89].text 所以我想這邊還是建議我們要保持維持原來27條這樣的立法精神至於立委想要去增加的一些規範是不是我們可以使用空法其他的條款來達成一樣的目的我想這可能有進一步探討的空間
transcript.whisperx[90].start 2589.469
transcript.whisperx[90].end 2616.306
transcript.whisperx[90].text 那第二點想要提到的是地方制度法的問題地方制度法第三章第二節的自治事項就是從第18條以下我們看到能源事項其實不是地方自治的事項所以如果我們在空污治理的時候希望在空污法裡面賦予地方政府比較多的權責而這些權責是涉及到能源事項的話那可能要請立法委員
transcript.whisperx[91].start 2616.986
transcript.whisperx[91].end 2636.692
transcript.whisperx[91].text 要考慮到我們是不是同時要來修正地方制度法要不然不同的法律之間可能會有衝突那這是第二點那第三點呢因為我們行政體系整個法制其實非常完整從88年到現在很多行政法的前輩一直把
transcript.whisperx[92].start 2637.112
transcript.whisperx[92].end 2664.092
transcript.whisperx[92].text 行政法體系架構出來那現在行政程序法裡面有特別提到法規命令是抽象規範那行政處分呢才是具體規定所以在這邊我想建議的是我們如果是法規命令的話盡量還是要用抽象規範的方式來訂定不要說在法規命令裡面去針對特定的單一的污染源去做規範因為如果是這樣子規範的話它就變成是具體個案
transcript.whisperx[93].start 2666.614
transcript.whisperx[93].end 2687.121
transcript.whisperx[93].text 那其實就跟我們行政程序法裡面的規範是相衝突的所以在這個部分的話可能也是請我們立法委員來考量一下我們空運法的規範是不是完整還是要在行政程序法的架構下去進行檢視所以像這個主管機關的裁量權界限
transcript.whisperx[94].start 2687.621
transcript.whisperx[94].end 2702.921
transcript.whisperx[94].text 可能这边也可以一并的探讨所以基本上还是建议法规命令还是要抽象规范不特定多数人都可以适用比较好不要去针对特定的对象去定法规命令这不太符合法律的要求
transcript.whisperx[95].start 2705.075
transcript.whisperx[95].end 2731.85
transcript.whisperx[95].text 時間快了還沒到好那最後一點剛好可以在時間裡面講到我們訴願法第二條其實有規定人民應中央或地方機關對依法申請的案件如果應作為不作為的話是可以訴願的所以審查超過時間的話其實是可以訴願的所以我想這個部分主管機關的嚴當人民是可以救濟所以這個部分我想如果是因為審查嚴當
transcript.whisperx[96].start 2733.311
transcript.whisperx[96].end 2754.756
transcript.whisperx[96].text 造成的許可空窗期應該不應該對人民造成不利益那這樣可能對我們整個空污管制的完整性會有所傷害那因為我事先有提供檔案那各位手上可能也有書面的資料如果沒有講解的很清楚的地方那麻煩大家參考書面資料以上謝謝謝謝嚴教授接下來請陳昭之委員發言
transcript.whisperx[97].start 2768.649
transcript.whisperx[97].end 2776.155
transcript.whisperx[97].text 主席 各位專家學者 各位同事還有關心臺灣供給品質的國人們我代表臺灣民眾黨黨團來發言感謝同為一二體系出身的盧縣議委員願意排勝《空汙法》的第30條大家一起為各地 尤其是中南部鄉親的健康權益而努力今天的公聽會討論《空汙法》第30條的修正草案
transcript.whisperx[98].start 2792.088
transcript.whisperx[98].end 2796.15
transcript.whisperx[98].text 事實上新達34號這個燃煤機組許可證早在2024年9月30號就到齊了那去年民眾黨接貨陳情了新達電廠偷開燃煤機組的訊息所以黃國昌主席就帶領我們黨團的立委跟高雄在地的市議員我們在5月27號的時候前往新達電廠去做實地考察
transcript.whisperx[99].start 2814.66
transcript.whisperx[99].end 2818.421
transcript.whisperx[99].text 我們也與台電還有在這個高雄市政府直接對話當時也有很多非常很多關心這件事的在地的居民他們在電廠外抗議表達反對反對偷開燃煤機組那我們在考察這個興達電廠的時候發現興達電廠還有其他電廠包括台中發電廠有好幾個燃煤機組事實上它的操作許可證早已經到期
transcript.whisperx[100].start 2841.448
transcript.whisperx[100].end 2854.801
transcript.whisperx[100].text 但是依照現行的空污法第30條只要台電向地方政府申請展延在申請展延的當中不論多久台電可以繼續使用已經過期的許可證就是繼續使用這個機組來做發電這是非常嚴重而不可思議的事情我想請問大家便利商店過期的一袋麵可以吃嗎
transcript.whisperx[101].start 2864.707
transcript.whisperx[101].end 2876.932
transcript.whisperx[101].text 超商食品販售標準尚且比民進黨政府的燃煤基礎要求還要嚴謹喔無論是超商或小吃店我們他們都知道每天他們最繁瑣最重要的工作之一就是不斷的確認食品或用料有沒有過期我要再舉例醫師藥師這邊在場有很多醫師藥師護理師等專業人員他們的證照只要一天過期只要你沒有補足繼續教育學分
transcript.whisperx[102].start 2888.996
transcript.whisperx[102].end 2894.663
transcript.whisperx[102].text 去update最新的知識跟技能他就一天過期一天就不能執驗藥品許可證也是過期一天就不能夠販賣因此廠商都會提前半年提前半年去申請展演以免供貨停止了影響到病人的用藥權益
transcript.whisperx[103].start 2909.099
transcript.whisperx[103].end 2915.604
transcript.whisperx[103].text 但是我們的政府卻讓台電的燃煤機組利用空無法的後門條款我為什麼說它後門條款呢這是2018年民進黨這個全面執政就是說國會多數的時候偷偷改掉的在那之前並非如此這個後門條款在操作許可證過期後允許繼續發電
transcript.whisperx[104].start 2925.932
transcript.whisperx[104].end 2945.147
transcript.whisperx[104].text 環境部二行程機車都知道要淘汰要實施救換新那麼大的一台燃煤機組開啟究竟排了多少空氣污染物現在被高雄人發現了為了拉升這個被軟容量的需要硬是偷開燃煤機組空污法第三條本來就是一條開後門讓台電無照燒煤的法案那經濟部在上週剛剛也報告了是說會影響8000多家產業
transcript.whisperx[105].start 2954.594
transcript.whisperx[105].end 2960.176
transcript.whisperx[105].text 那請問這個不就是拿民間業者來綁架立法院嗎要讓台電繼續無照消滅我要請問經濟部這8000家公司反對修法是怎麼來的哪8000家我們需要索取這個資料這數字怎麼來我們要知道是哪8000家公司
transcript.whisperx[106].start 2972.899
transcript.whisperx[106].end 2976.603
transcript.whisperx[106].text 所以在草案的法規細節內容如果大家認為可以排除中小企業或排除低排放相對比較乾淨的天然氣鍋爐的業者這個都可以討論這個都可以討論因為法律不是死的但是台電無照消明
transcript.whisperx[107].start 2989.477
transcript.whisperx[107].end 2996.439
transcript.whisperx[107].text 沒有人可以接受啊臺灣民眾今天再次表達我們強烈的反對電廠無照消明我們在本屆第三會期兩個會期前其實已經提出了第30條的修法草案我們把公司場公司場所固定的污染源的許可證展延時間有效期間從3到5年縮短為2到5年我們希望讓地方主管機關要求申請單位能夠及時去檢討污染排放的情形此外
transcript.whisperx[108].start 3016.323
transcript.whisperx[108].end 3037.763
transcript.whisperx[108].text 許可證期滿之後如果還在審查期間按照原來許可證的內容繼續操作兩個月時間到了機組就必須停止操作設一個停止點避免現在允許無限期的依照原本舊的許可證內容操作的不合理狀況這兩個月也有它的合理性就是不會造成像中火
transcript.whisperx[109].start 3038.183
transcript.whisperx[109].end 3058.116
transcript.whisperx[109].text 當地方政府根據地方的需求要求台電提出減少排放的一些承諾卻越補正知道整個卡住了所以台灣民眾黨在此我們要再重申我們支持國家開發用電但開發用電不是允許過期的機組繼續燃燒發電這樣子吸收民眾的健康你想要重啟燃煤機組就必須設立許可證展延申請停止點而不是說只要準博還沒有下來未定就無限上綱
transcript.whisperx[110].start 3068.343
transcript.whisperx[110].end 3070.765
transcript.whisperx[110].text 那如此還需要做審查嗎 以上報告
transcript.whisperx[111].start 3088.769
transcript.whisperx[111].end 3103.546
transcript.whisperx[111].text 各位先進還有各位關心空屋治理的朋友們大家好今天談空屋法的修法我的基本立場很清楚空屋治理要更嚴謹但不能夠更混亂因為這次修法最大的問題
transcript.whisperx[112].start 3105.307
transcript.whisperx[112].end 3124.177
transcript.whisperx[112].text 不是不要減污而是我覺得在野黨的版本把固定污染源的管制地方的自治跟能源管理產業供應鏈跟許可證全部混在一起卻沒有明確的標準也沒有完整的衝擊評估我認為這場討論不應該變成中央跟地方誰權限大
transcript.whisperx[113].start 3128.639
transcript.whisperx[113].end 3150.514
transcript.whisperx[113].text 然後比來的一個競賽真正要回答的是人民到底吸進去的污染有沒有變小有沒有變少健康風險有沒有下降污染熱區有沒有被看見還有我很關心的兒童長者甚至如果是慢性疾病的人這些敏感族群跟人口密集區有沒有被制度保護
transcript.whisperx[114].start 3151.614
transcript.whisperx[114].end 3176.585
transcript.whisperx[114].text 那現行的固定的污染源的管制呢也涵蓋了整個的各種的管理措施那這幾年呢固定管理源排放確實有改善可是代表制度不是失靈可是但也不代表可以滿足啦我主張的是政府治理呢成效要接受公開檢驗但修法不能把已經有效的制度打散空治理要更嚴不是更亂
transcript.whisperx[115].start 3177.287
transcript.whisperx[115].end 3204.361
transcript.whisperx[115].text 要補強監測公開稽查跟熱區的管理不是用法律不明確的修法來製造新的風險反而會更不宜那環境部顯示全台PM2.5的來源當中藍莓電廠對全台平均濃度影響約1.4%那如果修法高度針對我們的藍莓電廠對整體的空污改善成效有限
transcript.whisperx[116].start 3205.041
transcript.whisperx[116].end 3233.42
transcript.whisperx[116].text 卻可能牽動供電產業跟地方治理的風險我們必須關注的是住在火力電廠工業區大型鍋爐氣電共生場旁邊的居民他們每天面對的是家門口的風向煙囪排放量空瓶不良品然後降載時機跟備用機組的啟動以及長期暴露風險我們在意的不只是PM2.5而是各種污染物質對人體的危害
transcript.whisperx[117].start 3233.885
transcript.whisperx[117].end 3251.34
transcript.whisperx[117].text 因此重點應該要擺在空污法的管制措施的落實是不是能夠保障有保障到固定污染源周邊的民眾而不是把法律搞得更混亂我認為要加強治理可以依空污法的第15條22條23條強化大型
transcript.whisperx[118].start 3254.062
transcript.whisperx[118].end 3262.132
transcript.whisperx[118].text 固定污染源的周邊管理特別是我們在意的學校醫療院所跟人口密集的社區建立空瓶的監測與追蹤改善的機制那CMS的那個數據也是要強化獨立查核跟即時公開
transcript.whisperx[119].start 3271.656
transcript.whisperx[119].end 3293.648
transcript.whisperx[119].text 治理要對準我們的污染跟破物風險不是把法律再三強調不要把法律改得更混亂那第27條呢不是整個工廠區的總量管制那因為這套制度的原因本來就不是放水而是讓容易改善的製程做到優化於法規的標準困難製程保留技術彈性但前提是
transcript.whisperx[120].start 3294.168
transcript.whisperx[120].end 3309.917
transcript.whisperx[120].text 整个厂区的总排放量量必须符合标准换句话说就是用弹性换取更低的总排放量可政业党的版本呢把业者主动申请改成地方主管机关可以要求业者即应配合问题在于
transcript.whisperx[121].start 3310.937
transcript.whisperx[121].end 3339.053
transcript.whisperx[121].text 請問一下什麼狀況可以要求污染熱區違規紀錄累積曝露風險健康風險評估條文都沒有去講清楚那就會造成兩個問題第一業者已經符合法規和排放標準的時候能可能被地方要求改善因為法律的明確性不足第二現行第8條到12條已經有總量的管制第20條也有地方加嚴的標準這次修法可能會形成重複管制所以我一直在強調
transcript.whisperx[122].start 3340.388
transcript.whisperx[122].end 3357.845
transcript.whisperx[122].text 總量檢污可以談 地方主動治理也可以談但適用門檻 判斷標準 技術可行性改善騎乘跟救濟程序都必須要講清楚不能把原本促進減量的彈性工具變成法律不明確的強制命令 這並不適合
transcript.whisperx[123].start 3359.026
transcript.whisperx[123].end 3384.725
transcript.whisperx[123].text 那第28條呢那因為現行28條已經透過我們的染料分成成分的標準混燒比例搭配第20條的排放標準第23條的防治設備跟操作規範第24條的許可制度形成管理架構了那這一檔版本的問題是適當地方可以限制燃煤訂定燃煤減量跟鈦煤的那個期程甚至把這些條件
transcript.whisperx[124].start 3385.726
transcript.whisperx[124].end 3405.337
transcript.whisperx[124].text 作為許可展現的薄荷的準則這已經不是談空污治理而是能源管理環境部也明確指出限制禁止生煤的使用跟藍煤機組的鈦煤的提成涉及到國家能源供應跟能源相關法規的時候以超越空污法的規範範圍
transcript.whisperx[125].start 3406.926
transcript.whisperx[125].end 3421.672
transcript.whisperx[125].text 更重要的是第28條影響的不只是中火也不只是大型的鋼鐵廠還包括石化業氣電工生廠以及食品加工廠跟紡織洗染等依賴鍋爐熱能的中小企業製造業所以我認為南門要管
transcript.whisperx[126].start 3423.362
transcript.whisperx[126].end 3447.593
transcript.whisperx[126].text 但也要管污染物排放量跟健康風險不能讓各縣市各自禁燃料然後各自訂規則中央只剩下備查能源轉型要做但不能用空污法來製造政策能源政策的碎裂化那第30條呢談到固定污染源的需可展延我要講清楚需可展延不能變成是自動續照重大
transcript.whisperx[127].start 3449.134
transcript.whisperx[127].end 3455.366
transcript.whisperx[127].text 我們的污染源當然要嚴格審查 重大違規者也應該縮短許可的期限 要求改善
transcript.whisperx[128].start 3456.482
transcript.whisperx[128].end 3482.186
transcript.whisperx[128].text 但這樣的嚴格審查不等於是製造我們的行政不確定那因為環境部的顯示我想這些數據也在上面我就不追溯 可在業黨版本呢如果規定期限已到的話尚未完成我們的博准就不能夠繼續操作等於主管機關如果他審不完後果是由依法申請的業者承擔這還是一樣我要講是不是空污自理而是把行政
transcript.whisperx[129].start 3482.546
transcript.whisperx[129].end 3499.077
transcript.whisperx[129].text 拓延變成是停工的風險而且我們現行的展延期效原本3年到5年已比美國的5年歐盟的8到12年的制度更嚴格了如果要往下限縮的話那產生更多的一些問題點所以我覺得檢務要做了但不能夠以斷鏈跟供電失衡來作為代價以上謝謝
transcript.whisperx[130].start 3513.479
transcript.whisperx[130].end 3513.82
transcript.whisperx[130].text 工業總會副秘書長陳鴻文發言
transcript.whisperx[131].start 3529.371
transcript.whisperx[131].end 3557.305
transcript.whisperx[131].text 這個主席還有那個各位前輩各位先進大家好那個今天很高興代表產業界來參加今天這樣一個公聽會那首先就是因為剛剛聆聽那個我們那個環境部跟經濟部長官的報告其實我們都可以瞭解就是我們近十年其實整個空氣品質跟整個空氣的整個空氣污染的這個排放其實是都大幅的改善成一個下降的一個趨勢那包括
transcript.whisperx[132].start 3558.225
transcript.whisperx[132].end 3585.838
transcript.whisperx[132].text 就是如果我們從那個全國的一般策戰空氣品質也就是AQI的那個來做統計分析其實從105年開始去做統計之後其實那個AQI大於100的這樣一個比例其實是逐年下降到113年是有改善大概68%左右那我想這個部分都是顯示不管是政府也好還是從固定污染源還是那個移動污染源其實大家都共同的往這個就是
transcript.whisperx[133].start 3586.298
transcript.whisperx[133].end 3612.868
transcript.whisperx[133].text 那個就是空氣污染減降低排放的這個努力共同這個方向去做發展我覺得整個空氣品質的一個改善成效都有目共睹那我想我們固定污染源這部分也是會持續去做努力跟改善我想這首先去做續名那接下來就是針對我們整個立法院提出來針對那個空污法第27 28條跟這30條的一個修正草案其實
transcript.whisperx[134].start 3614.388
transcript.whisperx[134].end 3636.443
transcript.whisperx[134].text 產業界非常擔憂這個修法如果一旦通過以後其實會對整個經濟或者產業的發展會帶來很大的一個衝擊那因為我們工業總會有代表160個團體的一個工會那轄下的會員廠商大概有10萬家左右所以也因應這樣子的一個修法的一個提出來之後我們工業總會也針對我們的團體會員有做了一些調查跟意見的收集
transcript.whisperx[135].start 3640.365
transcript.whisperx[135].end 3667.873
transcript.whisperx[135].text 那以下我大概就是針對今天整個那個公聽會有三個討論提供裡面其中是針對燃煤管制的中央跟地方分權如何去兼顧中央地方的這樣一個原則我大概表達幾點的看法那提供就是那個各界還有立法委員將來在修法討論的時候去做參考第一個就是如果我們按現在草案的規定就是地方政府可以要求業者改善他的空氣污染的
transcript.whisperx[136].start 3668.433
transcript.whisperx[136].end 3683.971
transcript.whisperx[136].text 物的一個總量跟濃度業者應該配合就這個事情來講其實本來看起來無可厚非就是你地方政府要求我業者他就來配合可是這裡面有兩個很重要的因素就是說如果沒有一個明確的一個改善的一個條件或標準
transcript.whisperx[137].start 3685.453
transcript.whisperx[137].end 3703.007
transcript.whisperx[137].text 那再加上我們有台灣雖然地不大可是22個縣市裡面如果不同的縣市之間的管制標準不一樣的情況之下其實企業會面臨高度不確定的這樣子的營運風險我想這是第一個部分那第二個就是針對地方政府
transcript.whisperx[138].start 3703.447
transcript.whisperx[138].end 3719.026
transcript.whisperx[138].text 可以得公告禁止使用燃料用量以及那個有更嚴格的一個許可標準就這件事情來講其實也是同樣的意思就是說地方政府得公告禁止那到底是什麼樣的條件跟標準可以
transcript.whisperx[139].start 3720.219
transcript.whisperx[139].end 3745.628
transcript.whisperx[139].text 禁止其實在我們法規條文裡面其實都沒有去續名那如果是這樣子的話就會導致全國各地的這些公民營電廠那包括各個行業的工廠或鍋爐等等可能會因為招禁而無法去做營運所以我們是非常的一個就是說建議就是說如果貿然禁止或限制燃料使用的話我想對全國能源跟產業的正常營運也會帶來很大的一個衝擊
transcript.whisperx[140].start 3748.809
transcript.whisperx[140].end 3765.982
transcript.whisperx[140].text 那第三點就是草案裡面有增列一個就是認定有削減跟加嚴操作的必要者就可以在展演的時候變更許可內容那這裡面也又是同樣的問題就是說認定有削減加嚴的這個必要這條件到底是什麼其實我們法規
transcript.whisperx[141].start 3766.983
transcript.whisperx[141].end 3790.44
transcript.whisperx[141].text 也沒有載明等於是一個空白授權那這個時候就是如果業者必須無條件配合的話沒有配合其實就會失去這個許可證那企業的營運就會面臨到一樣是很大的一個傷害那第四點就是就是如果允許地方政府在展顏審查的時候得以有健康風險之餘就可以去變更原來許可內容的話
transcript.whisperx[142].start 3791.801
transcript.whisperx[142].end 3815.41
transcript.whisperx[142].text 那這個所謂的有健康之餘的影響這個之餘的之餘其實也是一個沒有客觀標準他很主觀的去做認定所以可能也會產生一些不確定的疑慮所以綜合這一到四點裡面其實都有兩個很重要的問題就是說缺乏明確且一致的這樣一個標準那產業無所適從第二個就是說
transcript.whisperx[143].start 3816.71
transcript.whisperx[143].end 3837.5
transcript.whisperx[143].text 就是如果各縣市競相效尤的話其實會造成一國多製的這樣一個亂象企業無所適從那因為我們知道企業要永續經營其實最擔心最害怕的就是不確定性所以一旦產生企業無所遵循的時候事實上就會影響投資意願跟一個穩定經營所以我想在立法的時候不可不慎
transcript.whisperx[144].start 3838.48
transcript.whisperx[144].end 3857.061
transcript.whisperx[144].text 這是以上四點的部分那第五點尤其我覺得個人覺得也是很重要就是說把展延審查的期間限縮僅得兩個月由產業去承擔地方政府沒有及時完成審查的這個後果我覺得真的是非常非常的不合理因為地方政府如果因審查的因素導致停工的話
transcript.whisperx[145].start 3858.022
transcript.whisperx[145].end 3877.71
transcript.whisperx[145].text 會造成上下游他會斷鏈那尤其我們從實務上來看很多連續運轉的設備他一旦停工了以後事實上他會造成重新來的這種不可逆的一個損失所以以上五點我們是非常建議立法委員助攻在審查的時候能夠真正的那個從實務上跟產業發展經濟發展角度來考量
transcript.whisperx[146].start 3880.911
transcript.whisperx[146].end 3902.823
transcript.whisperx[146].text 那至於說我們其實對本次立法委員提出來的這個修正草案這個立法的原意是要強化地方環境的治理其實我們也是肯定的只是這裡面就是說我剛講的就是說從很多就是不確定的那個概念裡面如果在法條的修正能夠讓它更完整或者就是說不要讓企業陷入一些不確定風險的話我想這個對整個投資環境跟經濟發展
transcript.whisperx[147].start 3906.545
transcript.whisperx[147].end 3926.258
transcript.whisperx[147].text 是有正面幫助的所以我們是強烈呼籲就是說維持現行的空污法的現行管理的機制不遺貿然的通過修正草案那最後就是我可能要附帶再提出來就是說因為今天是第一場公聽會那看起來邀請的是除了主管機關之外是專家學者所以如果可以的話應該是擴大溝通層面
transcript.whisperx[148].start 3928.72
transcript.whisperx[148].end 3948.72
transcript.whisperx[148].text 然後廣邀更多的相關利益團體利害團體再來多辦多場的公聽會多聽聽那個就是各界的聲音再來作為那個立法院在那個立法院審查一個很重要一個參考依據那以上的意見提供大家參考謝謝陳鴻文副秘書長接下來請賴信治教授
transcript.whisperx[149].start 3961.198
transcript.whisperx[149].end 3989.754
transcript.whisperx[149].text 主席 各位委員還有各位先敬大家午安我想今天來參加這個公聽會前面很多委員都提出了蠻多這個有關法制還有其他部分我想來跟大家報告一下一些空汙上面的研究也就是說我們今天其實很在意的是空汙對健康的影響我們也很在意空汙的濃度到底會對台灣的人民產生什麼樣的一個效應
transcript.whisperx[150].start 3990.814
transcript.whisperx[150].end 4009.6
transcript.whisperx[150].text 但我們在這十幾二十年的研究裡面其實我們一直希望的是我們在檢污法令的一個方向上能夠對到真正的目標而不是眼睛看到了我們就開始去做所謂檢污的這種策略
transcript.whisperx[151].start 4010.4
transcript.whisperx[151].end 4033.683
transcript.whisperx[151].text 所以想先跟大家報告一下影響空氣品質大概有五個因素一個就是空氣品質政策一個是天氣一個是地形另外一個是所謂的排放量這是大家最關心的接下來就會連鎖到所謂行政區域的管轄所以這五大因素我們要綜合考量的時候其實缺一不可
transcript.whisperx[152].start 4034.344
transcript.whisperx[152].end 4058.459
transcript.whisperx[152].text 那以一個科學家來講我們過去比較在乎的是排放量到底會有多少的濃度產生那在這裡也要跟大家報告一下其實在經過這個十幾二十年而且我們用了大量的國際上通用的這個研究工具來做研究的時候我們其實真的發現排放量不等於最後的影響度也就是不等於濃度
transcript.whisperx[153].start 4060.48
transcript.whisperx[153].end 4086.036
transcript.whisperx[153].text 這個我覺得是要跟大家先強調一下因為這會鏈結到後面的修法好 所以呢跟大家報告兩個數據一個就是其實現在如果最新版的排放量我們發現交通員的排放已經大於固定員的排放所以在這個過程裡面我們很擔心的是這個數據到底對不對所以我們回去做一些檢查
transcript.whisperx[154].start 4087.017
transcript.whisperx[154].end 4106.47
transcript.whisperx[154].text 那怎麼檢查呢?其實呢我們就把排放量拿出來透過這樣空氣品質的模式去模擬說電廠的影響有多少交通的影響有多少那第一個數據是這樣如果我們把車輛全部改成電動車然後電動車所需要的電改成用煤發電
transcript.whisperx[155].start 4108.723
transcript.whisperx[155].end 4128.678
transcript.whisperx[155].text 這個我們在國際上已經發表一個論文了其實我們發現如果改成電動車它的這個對於空氣污染濃度的一個改善會大於把這些電動車要充電的量全部放成燃煤電廠大概增加改善的效益有3%
transcript.whisperx[156].start 4130.639
transcript.whisperx[156].end 4154.749
transcript.whisperx[156].text 這是第一個意思是什麼?當我們一直在思考說電廠的這些排放燃煤的排放對台灣的這個空氣品質濃度的影響到底有多大的時候我們是不是其實也要思考一下在我們的這個管制策略方面在法令的一個鋪陳上面有沒有另外一個方向能夠來增進台灣民眾的健康
transcript.whisperx[157].start 4155.569
transcript.whisperx[157].end 4176.627
transcript.whisperx[157].text 那第二個數據是這樣我們把所有的這個電廠的排放拉出來看看他對於現在最新版的這個排放源的一個濃度影響的濃度大概有多少剛剛其實幾個部會都報告過我們可以看到這個濃度的影響大概是最多最多1.5%所以當
transcript.whisperx[158].start 4180.53
transcript.whisperx[158].end 4197.991
transcript.whisperx[158].text 我們身為納稅醫護人也身為科學家我們其實很擔心的是我們要付出的這些努力有沒有對到真正對民眾健康影響有效的方向所以在這邊其實要提出一個建議也就是說
transcript.whisperx[159].start 4199.452
transcript.whisperx[159].end 4226.562
transcript.whisperx[159].text 在我們考量那五個重要的影響空氣品質的因素裡面排放量的管控當然我們需要處理但是建議應該要對到真正的方向去第二個我們要用法規來限制如果回到地方的這個限制上面地方就能夠規範我們的伯爵錢放在地方的話那跨區的效應怎麼去處理台灣的地形非常特殊我剛剛也跟各位報告過
transcript.whisperx[160].start 4228.083
transcript.whisperx[160].end 4246.442
transcript.whisperx[160].text 五個重要的關鍵之一有一個是地形台灣的天氣搭上地形之後事實上有某些地區我們受到尤其是交通源的影響會遠大於固定源的影響在這個跨區的過程裡面假設我的上游區我不減量
transcript.whisperx[161].start 4247.743
transcript.whisperx[161].end 4275.743
transcript.whisperx[161].text 我下游區是不是就沒辦法動了我的健康是不是就沒辦法得到改善我覺得在看了這個草案之後其實還蠻建議還沒有釐清所有所有的這些細節之前建議最好不要這麼快的就去把這些法令做一些調動因為過去我們也可以看到這從2013年一直到現在我們其實可以看到這個
transcript.whisperx[162].start 4277.444
transcript.whisperx[162].end 4290.551
transcript.whisperx[162].text 這個空氣溫的濃度是一直在改善的所以如果可行的話應該經過更縝密的一個檢查才能夠來動這些法條以上是我的報告 謝謝謝謝賴信治教授接下來請葉光鵬醫師
transcript.whisperx[163].start 4305.771
transcript.whisperx[163].end 4311.576
transcript.whisperx[163].text 沒關係,我先開講。感謝主席,感謝王委員,感謝劉建國。2011年5月5日,台灣健康空氣衍農地母親節前夕,我的民進黨立委跟我協助會,到今天已經五年了。
transcript.whisperx[164].start 4324.912
transcript.whisperx[164].end 4353.343
transcript.whisperx[164].text 根據恐怖法修法,我要感謝全台灣的人民共同努力,在2011年開始,算這條路,如果沒有全台灣人民,我們台灣空氣不可能這樣。所以我直接用感恩的心情,直接看到吳亦林老師,剛才跟他說頂回省大聚焦年會,我去開會,一直都不知道你,但是白老師就給我有機會,去講SIP跟FIP,
transcript.whisperx[165].start 4355.578
transcript.whisperx[165].end 4384.453
transcript.whisperx[165].text 那時候我印象我還不太會聽,我說我那時候是郵遞行三年,郵輸辦的三歲而已,那時候後悔說,但是我印象中就是說,SIP,就是你沒辦法履行完成implementation plan的時候,就中央政府要接起來,理論上應該地方政府要再管,我那時候2011年,我現在想法也可能好像是一樣的,當然我現在是高中而已,我在老師面前我是孩子而已,
transcript.whisperx[166].start 4385.8
transcript.whisperx[166].end 4404.309
transcript.whisperx[166].text 今天很高興看到莊平傑老師,15年來,那PM2.0的健康,如果沒有你,不可能那本,也不可能國光時報有機會觀看,PM2.0也不可能,所以我幾十年沒看到莊老師,很高興看到莊老師是我的偶像,今天也是我的偶像,所以今天我會用你整個Power Point,
transcript.whisperx[167].start 4405.73
transcript.whisperx[167].end 4426.866
transcript.whisperx[167].text 很高興看到王振旭移植點維本社交媒體親自再來,令人感動,點維說子宮內膜癌跟NO2也有關所以我是台灣婦產科醫療學院,2019年就有一個婦女與環境健康可能全台灣醫療學院裡面,有一個環境跟健康可能還可以互相可能
transcript.whisperx[168].start 4428.494
transcript.whisperx[168].end 4452.685
transcript.whisperx[168].text 環境跟健康,就世界衛生組織講得很乾淨是環境是很重要的,基因可能不一定重要我看就是這樣一看啦,我們的基因會被表觀遺傳被改變所以抱歉,這包分就出來了,我在這感謝盧委員,雖然根據我們的立委出國提案人羅天偉,我也要感謝他他年輕時為總會絕食
transcript.whisperx[169].start 4457.629
transcript.whisperx[169].end 4475.298
transcript.whisperx[169].text 這十幾年來,台灣健康空域希望關心空汙,關心交通,所以我們認為說一家子宮內馬來,那是一個民進黨的市議員走勢,很辛苦的,那跟NO2有關,NO2跟燃煤也可能有關,但是最重要的是交通,台北市最重要的交通。
transcript.whisperx[170].start 4476.138
transcript.whisperx[170].end 4495.011
transcript.whisperx[170].text 但是國民黨的時代到這時,都說交通很重要,但是交通經濟差有沒有增加?到今天我不知道,我還沒有看到,至少我們的頂頭裡面沒有看到,你的沒有增加。30年,號稱交通很重要,沒有看到交通經濟差進入法規。
transcript.whisperx[171].start 4495.851
transcript.whisperx[171].end 4519.591
transcript.whisperx[171].text 我們台灣的標準,空瓶表面標準,沒有把交通納入我們的法規裡面,管控的東西所以在這裡我要感謝劉建國15年來,他很為難的,但是他都幫忙陳昭智立委,他的提案,也感謝,王一鳴立委剛才有去支持當然今天邱惠如立委,他在衛反會,他今天也出國,但是我剛才
transcript.whisperx[172].start 4520.692
transcript.whisperx[172].end 4529.558
transcript.whisperx[172].text 一張看到他在立法院,我們補定公平的位置,我有點難過好,抱歉,現在可以開始下一張嗎?我自己去嗎?抱歉,請大家包容我花時間比較久15年來,這條路這麼長我剛才看到謝彥如副部長很高興當年聽說是八八節
transcript.whisperx[173].start 4547.086
transcript.whisperx[173].end 4559.893
transcript.whisperx[173].text 因為國防司法,它是科長專綱跑去講法,姿態很假所以國民黨時代的控保署,是很低姿態,主動喔,主動所以民進黨當然很厲害啦,台灣沒有民進黨,沒有經營但是民進黨如果我看,我年輕的時候
transcript.whisperx[174].start 4572.332
transcript.whisperx[174].end 4586.34
transcript.whisperx[174].text 民進黨出事後,我就在跟民進黨作算了,抱歉這張,2018年918,這張頭這個人就吳國昌所以我今天,我是代表民進黨,我也公認代表民進黨所以這民進黨有點困難,雖然我跟建國15年了雖然2011年5月6日,母親節前夕,那陣子我的都是民進黨立委,都是民進黨,吳淑英
transcript.whisperx[175].start 4601.909
transcript.whisperx[175].end 4612.76
transcript.whisperx[175].text 田秋晴,還有中華的王金珠,跟吳承哲,那時候我都罵的,那時候都站在我旁邊,抱歉我講太久,請包容一下,好不好,抱歉。感謝黃國昌立委,那時候他就去台灣,
transcript.whisperx[176].start 4618.565
transcript.whisperx[176].end 4637.013
transcript.whisperx[176].text 這件事有台化條款,就因為台化之後,他說不行了,這又下去之後,因為引領地方自治條例,整個困難然後台化也這樣,台中也被逼之後,地方自治條例出來但是我要感謝林佳龍,當年如果沒有檢視層,給中央就不會檢視層
transcript.whisperx[177].start 4638.354
transcript.whisperx[177].end 4656.128
transcript.whisperx[177].text 就不會 抱歉所以我要勸頂林佳龍當然不是林佳龍 那是全台灣共同關心台灣那天 遊行之後關起來也不是台灣 也不是中華人是台灣人 很多人 台北人都在那邊支持我感謝五十年前 五十年在台灣 在市中心荼毒中華人那是我起床和閉床的事情所以我感謝吳國昌所以 抱歉
transcript.whisperx[178].start 4669.923
transcript.whisperx[178].end 4671.404
transcript.whisperx[178].text 這是向後的所以在這裡抱歉你要花很多時間 抱歉因為民進黨就是說萬年國會當年就是說 喔 國台都要選舉 國會都要開選但是我們這個平台 哇 會這樣你如果不這樣 就會再燒 會再燒 會再燒這不是跟當年的萬年國會一樣不是 我們反對的民進黨不是這樣所以
transcript.whisperx[179].start 4697.655
transcript.whisperx[179].end 4709.706
transcript.whisperx[179].text 這是以前我去成員莊老師 莊老師 當年我頭髮也是黑的那時候我們不敢 我的老師紅膏所以你看很多 江聖醫師也站出來我的老師瘟疫受難柯文哲醫師也吹他 柯文哲醫師也說 哇 怎麼樣怎麼樣所以莊老師 剛才經濟不講
transcript.whisperx[180].start 4723.293
transcript.whisperx[180].end 4738.452
transcript.whisperx[180].text 經濟部國民黨講的跟民進黨都一樣很多老師都用PDF講濃度就像一個人賴清德也是一個人賴清德跟別人一樣嗎川普也是一個人他跟一樣嗎王正旭也是一個人
transcript.whisperx[181].start 4739.893
transcript.whisperx[181].end 4753.585
transcript.whisperx[181].text 跟別人一樣嗎?王正旭想我必須要繼續老的所以我們兩個同樣的一個人,別人是醫生,人是教授,必須要老,我是孫子啊所以同樣的煤是不一樣的,有乾淨的煤,也有啞鈴車的煤所以鍾老師說,這燃煤電廠中心是非常毒的,這鍾老師說的不是我說的喔,好嗎?2019年,以前深澳燃煤電廠乾淨的煤
transcript.whisperx[182].start 4765.796
transcript.whisperx[182].end 4784.706
transcript.whisperx[182].text 你錯了啊燃煤電腦是連乾淨的煤都錯了啊這莊老師說莊老師是說深澳的重金屬啊這裏的重金屬啊這裏的2024年依依依然為什麼PM都那麼低為什麼人的空氣好但世界很毒啊所以不是看濃度啊剛才在說的我相信我們環境部不是看濃度吧看結構吧剛才
transcript.whisperx[183].start 4795.543
transcript.whisperx[183].end 4820.276
transcript.whisperx[183].text 不像以前,孔寶出生,已經全港為中華,為台北總結,沒工嘛同樣是,沒工啊,未來我看,我早去找他,人家也都很客氣啊國民黨的時代,我都很客氣,民進黨認為他可能很進步、很民主、很厲害的一款,我不知道啦,不好意思這2016年,鍾老師說,用法規可以督促工廠改善,這一說的啊
transcript.whisperx[184].start 4821.238
transcript.whisperx[184].end 4841.458
transcript.whisperx[184].text 所以燃煤入伏可以做健康啊,莊老師是不是?所以今天莊老師去訴綜活動,我也不敢啦,直接感謝仙汝,我感謝你。2011年,台灣PR2.0一直在管控,什麼大家都不知道,感謝吳亦林一直在幫忙,我們這促成手動消磨,不然我怎麼看不見?
transcript.whisperx[185].start 4842.279
transcript.whisperx[185].end 4850.163
transcript.whisperx[185].text 我們在世界衛生組織2005年P2.2是多少?是10我們頂15是全世界很厲害的我們是超過50%而已我們是超過5個立法會我們頂了15個 日本跟美國一樣美國2012年改12我們15也差不多但我們AQI我們在未來用AQI我們就15掩飾綠色我現在也很不滿為什麼美國是12綠色我們現在改成12
transcript.whisperx[186].start 4867.353
transcript.whisperx[186].end 4893.045
transcript.whisperx[186].text 我們跟世界衛生組織5比起來是差7捏是差512是2.4倍捏我們是落後的捏所以時代你只要說5是不好當年謝燕竹做空保科長他在那裡主持平安2.5的公聽會他以前說平安2.5實施終極目標我媽最害羞不好意思不敢多開刀
transcript.whisperx[187].start 4897.957
transcript.whisperx[187].end 4922.163
transcript.whisperx[187].text 謝彥柱說我沒有終極目標謝彥柱跟我們的科長罵笑說對!好!該!這就是當年的孩子的謝彥柱以前的科長馬上喔他沒有遲疑這就是以前的國民黨的時代的謝彥柱但我不知道民進黨的謝彥柱當然是現在你要看上面我的偶像喔我的偶像現在做保齡嘛好!這是我的偶像我跟他認識
transcript.whisperx[188].start 4923.43
transcript.whisperx[188].end 4942.744
transcript.whisperx[188].text 一段時間,他當年要辦集會的時候,他也出了六千塊來,當然六千塊可能比他還小一點那來看這張,我們認為最近定例白是七百八,七千八百萬預算,通過但是我認為,如果我們人民兩千三百萬,身體如果破壁,可能就很困難了
transcript.whisperx[189].start 4946.434
transcript.whisperx[189].end 4956.344
transcript.whisperx[189].text 所以大家看到右邊的地圖是歐盟最近公佈的他們的帝都大家看東歐比較紅紅所以最近馬鈴薯這麼紅所以發覺可能不能吃但是
transcript.whisperx[190].start 4962.54
transcript.whisperx[190].end 4982.999
transcript.whisperx[190].text 燃煤裡面的燃煤排泥可以輸嗎?燃煤排泥是一級致癌物啊黃醫師,是不是一級致癌物?我們食品裡面有管控我們的空氣沒有管控,所以我們裡面說燃煤排泥不是給你致癌,不是給你肺癌,不是給你大腸癌不是給你睪丸癌,不是給你肝癌,不是它還會讓你免疫,會造成勞力危險,會給你
transcript.whisperx[191].start 4986.071
transcript.whisperx[191].end 5003.007
transcript.whisperx[191].text 腦力學習所以我們的孩子我們的年輕人在韓軍官校在江山空軍基地在左營在陸戰隊都在那裡那空氣都複合式的汙染有燃煤有柴油有什麼偏煙淋在衣身上都汙染讓我們洗不出來
transcript.whisperx[192].start 5004.113
transcript.whisperx[192].end 5033.653
transcript.whisperx[192].text 所以這才是健康的煤台北經濟部說健康的煤我沒有意見但是如果環境部說健康的煤我就覺得可能要注意所以在這裡我只要說最近中央大會說台灣國立公司如果台灣國立公司真的脆弱一定要再燒星達的燃煤一定要再燒我們賣料的煤表示台灣國立脆弱表示台灣要再抓葉光鵬去做後備軍人非常可惜了所以在這裡要拜託
transcript.whisperx[193].start 5035.615
transcript.whisperx[193].end 5055.376
transcript.whisperx[193].text 抱歉這裡面有你說這裡面我們比較好的就是有健康教育委員會所以我在這裡裡面有要拜託大家我們不用排練是不是要管控這裡面很毒的也不是這樣而已HAPS我們的莊老師有你說HAPS也是很重要的原因我們的PAO在
transcript.whisperx[194].start 5056.758
transcript.whisperx[194].end 5081.254
transcript.whisperx[194].text 你先如一尊,哪能變成十五?我們現在離五更遠是不是要加強公平?所以在裡面彭啟明的電話裡說你可能沒有經驗一個堂堂的部長對我們的委員委員是明顯出來,你這樣跟他說你可能沒有行政經驗,這種人是非常可惜的所以在這裡要說彭啟明,你是環境部長你忘了你的職責,這是這是我們的
transcript.whisperx[195].start 5085.1
transcript.whisperx[195].end 5112.345
transcript.whisperx[195].text 朱祖堅下來,所以古年五月我就在說台灣有沒有環境部?有,環境部很多大家都盡忠職守但是部長可能沒有環境部長這就是朱祖堅最近下來,忘了我是環境部長地方政府是有責無權,中央政府是有權無責,抱歉所以在這裡我要說,民進黨2018年把他收回來之後,他有沒有主動採買?
transcript.whisperx[196].start 5114.144
transcript.whisperx[196].end 5128.915
transcript.whisperx[196].text 我沒有看到,沒有主動探明,我們的內閣現在是Active,Innovative,Active是什麼?主動,不是被動,不是Passive,是主動要創新,結果我還在講那些東西,舊的東西,還在講那些東西,這2021年,這次,這次我們看小英說的,小英說600萬噸,
transcript.whisperx[197].start 5136.724
transcript.whisperx[197].end 5148.047
transcript.whisperx[197].text 它是歷史上最大的,但是從2019年,中火就沒有再減了,就沒有再減了,為什麼?我們看那一陣子,曾孫暉很厲害,全面翻修空污法,他說2021年,那陣子要管控72項,結果被減成22項,
transcript.whisperx[198].start 5155.734
transcript.whisperx[198].end 5167.887
transcript.whisperx[198].text 所以民進黨那時候說的用記者會的成方式是後面的人把他冰倒只打三折國防不能打折但是HAPS你可以打三折然後施成延運來不斷非常誇張這裝備也不用排練這裏面我們上面說的修映2016、18這八年協定出來能源產業要持續產業轉型要加速
transcript.whisperx[199].start 5177.639
transcript.whisperx[199].end 5187.401
transcript.whisperx[199].text 有沒有加速呢?責任傳承要公正,中火那邊還在燒,星達老建國還在燒所以感謝台灣人宣出總統是一個健康的
transcript.whisperx[200].start 5188.325
transcript.whisperx[200].end 5208.625
transcript.whisperx[200].text 台灣的總統,但是不健康的台中,哪有健康的台灣?如果不健康的分林,哪有健康的台灣?如果不健康的台南,哪有健康的台灣?不遺漏任何人,不遺漏屏東,不遺漏我們的飛翔所以在這裡感謝蕭英當年選公衛做環境部長
transcript.whisperx[201].start 5209.332
transcript.whisperx[201].end 5219.489
transcript.whisperx[201].text 用健康做核心,也感謝大聖節今年終於把環境部跟甲座位,兩個甲座位以健康做核心但是,這是當年2015年我辦遊行的時候,理事長說你中央比較保守
transcript.whisperx[202].start 5223.4
transcript.whisperx[202].end 5250.434
transcript.whisperx[202].text 現在是不是2026年的民進黨中央是比較保守呢?但是我們的總統,他說不要,要相處我們現在要用低碳,所以燃煤是高碳,沒有能源韌性所以拜託中央放手,莊秉傑老師這是你去年,你說的,空汙來源,你有去搞結果環境部甘有助,甘有助所以莊秉傑老師,你在4月30日苦活的火星環境部對HEP的管制沒有做也是該虛心檢討啊
transcript.whisperx[203].start 5252.216
transcript.whisperx[203].end 5273.913
transcript.whisperx[203].text 民進黨執政已經10年了,HAPS只管控22項,然後延後今年4月,我們死亡人數1萬6千個,我們生不出來所以民進黨執政10年,罪毒燃煤,民眾派你不管控,這是民眾派你會造成跌的,一直在確定的,世界危險零點一二,這是已經說很久了,我們剛才說的
transcript.whisperx[204].start 5276.55
transcript.whisperx[204].end 5290.623
transcript.whisperx[204].text 公益中沒有要排行,台灣沒有標準台灣為所欲為,你要排什麼就怎麼排,沒有,沒有人知道台灣人比較用,歐盟你看,都做外帝島人家看歐盟2014、16,都帝島,它的標準裡面綠色的就是比較紅色的就不好,都是東歐台灣現在跟東歐一樣,你看法國
transcript.whisperx[205].start 5298.075
transcript.whisperx[205].end 5326.373
transcript.whisperx[205].text 西班牙,他們那些都藍色,都大標,小於世界衛生紙世界衛生紙以美說沒有安全紙,SAP,VAP啦所以我昨天看到彭齊明他在2014年做一個研究海基會,不是海基會這是兩岸齁,這裡面行政大陸委會研究兩岸的空瓶他做一陣子中華民國環境保護協會秘書長他在那裡做一個研究中國
transcript.whisperx[206].start 5327.871
transcript.whisperx[206].end 5352.846
transcript.whisperx[206].text 會加免費派人VAP有一點他也是用VAP喔他中間沒有多少括號這是彭啟明喔 這不是我喔好 中國其實2011年他就管控VAP了但是標準能判說以前0.12012年變成0.01加減10倍所以這是彭啟明的授意喔彭啟明2012年修正他也知道2014年知道中國要2012年開始管控要加減10倍採用歐盟的標準建構他兩年做
transcript.whisperx[207].start 5354.787
transcript.whisperx[207].end 5371.438
transcript.whisperx[207].text 保證沒有管控,他是你害惱性中傷,難道台灣的Vendor Party你沒有讀嗎?你就證明給我看,那我就尊敬所以梁安空在裡面,這是年輕的彭啟明,2013年12月彭啟明這是2013年12月彭啟明,他是秘書長,簽名在這裡所以我想應該是他寫的,所以他知道,為什麼不講管控
transcript.whisperx[208].start 5377.942
transcript.whisperx[208].end 5401.537
transcript.whisperx[208].text 所以臺灣不能輸中國臺灣什麼國可能都可以輸就是不能輸中國站在立場裡臺灣要輸中國不行啦所以要講好不好在這裡拜託為什麼今天跟燃煤有關因為緬州排冷是600度C以下最慢超超臨界可能580度亞臨界超臨界都是580度到565度那裡暗時也在放毒也在放來台南建國低效益產生很多
transcript.whisperx[209].start 5406.912
transcript.whisperx[209].end 5417.858
transcript.whisperx[209].text 所以是什麼?會讓我們生命出來,搞完,搞完來,你來看,當年清的,清的延宅的,都是搞完來,顧腦力,讓我們的記憶力不好,讓我們的記憶力不好,讓我們學習,讓我們平常要學的武器也有困難,會證明你,腦力不是受損,強國力,民進黨愛鄉土,當年,
transcript.whisperx[210].start 5426.412
transcript.whisperx[210].end 5442.609
transcript.whisperx[210].text 你盡量說這中央比他保守 盡量說民進黨不是進步 是保守不是主動 是被動 不是創新 是保守所以拜託 貝里 你沒有證明你能夠主動解媒你已經 人民給你機會 就像
transcript.whisperx[211].start 5443.65
transcript.whisperx[211].end 5468.765
transcript.whisperx[211].text 羅總統你說的,那過去已經過去了,不是說合,要達成,所以新的開始嘛所以在這裡要拜託,就像民進黨當年的萬年國會民進黨台灣的歷史,台灣今天做主人就是萬年國會但是我們今天有萬年的星達,有萬年的東西,我們的環境部長當年知道中國在管控民主派利,為什麼台灣的民主派利不用管控咯
transcript.whisperx[212].start 5470.206
transcript.whisperx[212].end 5478.992
transcript.whisperx[212].text 我們的馬鈴薯有毒我們可以選擇不吃沒要吃 沒要吃就不要吃但是你空氣 氣勢這樣子為中國 也會收到台北人因為會擴散所以在這裡要拜託泰美是最好的國防泰美是最優先的國防它比馬鈴薯更毒在這裡感謝不分草野 不分蝦這是感謝蔡議長時間的關係差不多最後 最後我們要拜託這是
transcript.whisperx[213].start 5499.758
transcript.whisperx[213].end 5508.021
transcript.whisperx[213].text 游詩坤要離開的時候,她說讓台灣變成一個國會至上的正常國家她說美國憲法是國會議員得到,所以她在國會至上,在這要困窮王振旭委,公務修法,來擺綠河今天地方政府起來也要選舉,她也不可能刁難政治,也不可能去刁難什麼
transcript.whisperx[214].start 5527.19
transcript.whisperx[214].end 5532.252
transcript.whisperx[214].text 經濟殭屍如果要殭屍是天然氣啦所以非常可惜用8000家我不知道發生什麼幽靈我想經濟部講那個話 環節部要回應經濟PA2是不一樣的經濟PA2對我們那12更小的我們AQS綠色是騙人的
transcript.whisperx[215].start 5545.348
transcript.whisperx[215].end 5563.126
transcript.whisperx[215].text 美國十二年,綠色就十二了,我們現在還在綠色,還是十二,還在騙人所以拜託大家,咱支持莊秉傑,支持台灣不分難力,共同努力,我們發起不達目的,絕不終止不達目的,絕不終止,台灣的Battle Party一定要管控,請彭啟明
transcript.whisperx[216].start 5567.741
transcript.whisperx[216].end 5578.788
transcript.whisperx[216].text 你2014年就已經知道了,中國已經在全面管控用open方式,為什麼台灣mantel派你沒有讀嗎?比馬鈴薯還沒有讀,請亂代總統出來回應感謝主席,請大家原諒,謝謝
transcript.whisperx[217].start 5593.224
transcript.whisperx[217].end 5612.479
transcript.whisperx[217].text 主席 各位委員 各位先進 大家好首先感謝讓我來跟大家報告一下我做空氣汙染的研究三十幾年來的結果尤其是對PM2.5應該大概從我民國八十一年回台灣甚至更早之前我就一直在研究PM2.5
transcript.whisperx[218].start 5614.8
transcript.whisperx[218].end 5637.475
transcript.whisperx[218].text 我習慣上來把整個第一個我們大概談的今天大家談到說到底PM2.5濃度需不需要再降低那因為就像前面先進提的我們過去幾年的PM濃度確實是有逐年的下降可是夠不夠我想這個第一個東西就是說在PM2.5從那個全世界的
transcript.whisperx[219].start 5639.631
transcript.whisperx[219].end 5654.847
transcript.whisperx[219].text 公認裡面的就是PM2.5對健康的影響其實是沒有預知也就是說它基本上一直到零因為這個從北歐的公共貴賓的研究裡面就看得來因為我去北歐訪問我看這個大概十幾年前的事他們的溶度撤出來大概很少超過1
transcript.whisperx[220].start 5656.363
transcript.whisperx[220].end 5675.322
transcript.whisperx[220].text 可是他們在公共衛生學的研究裡面它還是對人體有影響這個就是當初支持聯合國就是PM2.5對健康的影響基本上是沒有預指的跟很多其他污染物不一樣的地方所以站在這個立場裡面其實我也是呼籲其實平衡濃度的趨勢還要繼續下降
transcript.whisperx[221].start 5677.303
transcript.whisperx[221].end 5705.31
transcript.whisperx[221].text 可是台灣有一個比較特殊的現象這個現象其實應該是說我大概差不多十幾年前提出來就台灣的PM2.5有將近有大概三成到四成其實不是台灣自己來產生的當初被罵得要死啦就像我當初十幾年前害了我們那個林彥柳署長嚇跳一樣說要管那個大貨車那個都是我最早提出來的可是現在可能大家慢慢的接受這樣的概念就是說
transcript.whisperx[222].start 5707.311
transcript.whisperx[222].end 5716.703
transcript.whisperx[222].text 整個供應汙染的管制裡面如果從歷史的軌跡上來看的話大概我們可以把它分成幾個時期就是從1970年代大家談了看誰的排放量大小然後到1990年代我們看看誰的影響比較大
transcript.whisperx[223].start 5722.236
transcript.whisperx[223].end 5745.996
transcript.whisperx[223].text 排量大的不見得影響就大 這個剛剛賴教授有講過這些影響的因素的變化那到最後我們會把到90年代我們把它變成成本效益尤其是以健康為基準的成本效益大概在這20世紀末的時候可是到21世紀初期的時候就開始建立一個叫做多污染跟多媒介的綜合管理
transcript.whisperx[224].start 5746.636
transcript.whisperx[224].end 5774.231
transcript.whisperx[224].text 其實這每一段都有科學上面的工具的發展然後它一直一直進展從最早的排放量的管理不過呢我覺得台灣在這個管理上面的步驟上面稍微慢了一點我們知道現在很多時候還在談用排放量的管理也就是說我們在談管制措施我記得剛剛葉醫師提到的2011年在成大辦那一次空污研討會那我記得那時候那個
transcript.whisperx[225].start 5776.519
transcript.whisperx[225].end 5799.752
transcript.whisperx[225].text 謝處長剛剛上任處長那我到那時候就跟大家講說應該要從排放量的管理進到貢獻量的管理那這個是我覺得第一個為什麼我講這樣呢我提一個很簡單的例子這個也是我們幾年來學到的我們從80幾年開始在測我們台灣的PM2.5裡面的成分組成的時候我們發現硫酸根是它最大的組成大概佔了30到40%
transcript.whisperx[226].start 5802.015
transcript.whisperx[226].end 5827.364
transcript.whisperx[226].text 可是因為個人研究室的人工測的大概都有限我當初做了最多是從台南測到屏東測了九個站同時去測可是這些站看出來的結果還是流產量最多一直到2013年我們環境部成立了剛剛葉老師葉醫師提到的三十個測站全部都是同一天採樣那我們就把那些數據拿來看就發現一個很有趣的故事
transcript.whisperx[227].start 5828.144
transcript.whisperx[227].end 5853.224
transcript.whisperx[227].text 硫酸根還是最主要的成分可是硫酸根的占比是北邊最多一直從30%降到高雄剩下25%然後你把這個同場的東西看一看發現北風吹的時候台灣自己硫酸根增加的大概只有6.5個micron可是硝酸根的增加大概將近8個micron也就是說我們自己對硝酸根的影響比硫酸根要大
transcript.whisperx[228].start 5854.734
transcript.whisperx[228].end 5881.415
transcript.whisperx[228].text 那這個從這個管制裡面就造成了就是說為什麼貢獻量的影響其實是一個很炸的概念在這個裡面那應該一樣我們在大概15年前我們在AE發表了一部一篇paper那這篇paper我當初是去幫忙做中部的代耗性的研究當然跟今天的主題不大一樣可是呢那時候我們做出來的結論呢那時候這個代耗性最大的排放源是總共大概占台中市的三分之一
transcript.whisperx[229].start 5882.456
transcript.whisperx[229].end 5910.185
transcript.whisperx[229].text 可是我們做出來的大躍興主要供電是中部地區的第一個排放源影響最大排放源是非鐵金屬的二次元鏈因為那邊其實我們知道中部地區有很多我們的水晶工業所以說那個其實影響很大所以我想要提到就是說這個概念裡面應該要提到就是管制策略上面的進步就是說應該想要至少能夠做到以台灣來講目前進行到
transcript.whisperx[230].start 5910.885
transcript.whisperx[230].end 5933.148
transcript.whisperx[230].text 以供鮮量為主的這種管制措施應該是這個技術是綽綽有餘啦但是要增到勤本效益因為我們的健康的基準跟防治設備的成本資料其實還蠻缺的啦我覺得這個是在管制上面能夠去補充那這樣才能夠帶我們往下一步去做甚至進步到所謂多媒介的管理
transcript.whisperx[231].start 5933.768
transcript.whisperx[231].end 5962.691
transcript.whisperx[231].text 而不是說我今天只看到空氣味來PM2.5那忘了廢水廢氣物就是說這個地方其實是要一起整合的去看這個是時間有限我最後建議一個的所以由這個角度去看的時候其實我提醒大家一個油煤轉到天然氣其實在鋁化合物跟氯磚物裡面會有顯著的下降可是在氮氧化合物其實沒有什麼太大差別可是我們剛剛有講的2.5裡面主要是氮氧化合物要管的
transcript.whisperx[232].start 5963.902
transcript.whisperx[232].end 5986.428
transcript.whisperx[232].text 這個就是一個要去前面思考的就是說沒降低是當然一定要降低可是它的配套措施到底夠不夠真的讓我們由美轉成天然氣的時候是不是對我們PO2.5濃度是真的會下降那麼多嗎我的個人研究其實是有一點但是沒有大家想像的那麼多這個提供給大家參考 謝謝謝謝吳亦林教授現在請劉建國委員
transcript.whisperx[233].start 5996.701
transcript.whisperx[233].end 5998.664
transcript.whisperx[233].text 好 那現在休息十分鐘
transcript.whisperx[234].start 6033.146
transcript.whisperx[234].end 6033.627
transcript.whisperx[234].text 謝謝大家
transcript.whisperx[235].start 6045.854
transcript.whisperx[235].end 6047.616
transcript.whisperx[235].text 中文字幕志愿者 李宗盛
transcript.whisperx[236].start 6063.674
transcript.whisperx[236].end 6063.694
transcript.whisperx[236].text 臺灣公會
transcript.whisperx[237].start 6084.346
transcript.whisperx[237].end 6084.526
transcript.whisperx[237].text 陳建盛
transcript.whisperx[238].start 6110.977
transcript.whisperx[238].end 6111.437
transcript.whisperx[238].text 謝謝大家。
transcript.whisperx[239].start 6139.735
transcript.whisperx[239].end 6148.933
transcript.whisperx[239].text 響鐘
transcript.whisperx[240].start 6151.169
transcript.whisperx[240].end 6179.206
transcript.whisperx[240].text 謝謝謝謝謝謝
transcript.whisperx[241].start 6181.708
transcript.whisperx[241].end 6183.749
transcript.whisperx[241].text 冰淇淋都沒吃
transcript.whisperx[242].start 6216.51
transcript.whisperx[242].end 6229.667
transcript.whisperx[242].text 響鐘
transcript.whisperx[243].start 6235.037
transcript.whisperx[243].end 6262.387
transcript.whisperx[243].text 我們玻璃工程師很厲害我們玻璃工程師很厲害我們玻璃工程師很厲害玻璃工程師很厲害玻璃工程師很厲害玻璃工程師很厲害玻璃工程師很厲害玻璃工程師很厲害玻璃工程師很厲害玻璃工程師很厲害玻璃工程師很厲害玻璃工程師很厲害
transcript.whisperx[244].start 6269.652
transcript.whisperx[244].end 6269.672
transcript.whisperx[244].text 謝謝觀看
transcript.whisperx[245].start 6285.522
transcript.whisperx[245].end 6305.256
transcript.whisperx[245].text 我單裝幣給你拿我單裝幣給你拿我單裝幣給你拿我單裝幣給你拿我單裝幣給你拿我單裝幣給你拿我單裝幣給你拿
transcript.whisperx[246].start 6316.395
transcript.whisperx[246].end 6316.435
transcript.whisperx[246].text 我來我來
transcript.whisperx[247].start 6334.746
transcript.whisperx[247].end 6336.427
transcript.whisperx[247].text 我能一種出口
transcript.whisperx[248].start 6365.071
transcript.whisperx[248].end 6375.741
transcript.whisperx[248].text 我能演唱的都對 音樂也對 文憲風電 但是聲音還會變成文憲 氣跳也會變成文憲 急診也會變成文憲 甜美 甜美也可以解鎖急診
transcript.whisperx[249].start 6385.801
transcript.whisperx[249].end 6388.584
transcript.whisperx[249].text 重啟人的交代啊可以多拍一拍
transcript.whisperx[250].start 6406.863
transcript.whisperx[250].end 6407.423
transcript.whisperx[250].text 你自己口誌
transcript.whisperx[251].start 6433.289
transcript.whisperx[251].end 6458.409
transcript.whisperx[251].text 我老婆老婆 我知道她是千名小老她就是完全學會的藝術阿姨百分之九十九點九 我不跟百分之九十九 從來不會講到一半我做男生我做女生我做男生我做男生我做男生我做男生我做男生我做男生我做男生我做男生我做男生我做男生我做男生我做男生我做男生我做男生我做男生我做男生我做男生
transcript.whisperx[252].start 6459.41
transcript.whisperx[252].end 6463.951
transcript.whisperx[252].text 这边算,这边算,这边算,这边算,这边算,
transcript.whisperx[253].start 6480.555
transcript.whisperx[253].end 6491.039
transcript.whisperx[253].text 有見證人本座嗎?沒有人回應嗎?人家又被拘捕了嗎?我準備給他打電話我準備給他打電話你準備給他幹嘛?
transcript.whisperx[254].start 6516.934
transcript.whisperx[254].end 6527.52
transcript.whisperx[254].text 應該這五點半可以結束了他們這個還好,都算是接手時間這時候就我來然後我們就好好的因為祥文
transcript.whisperx[255].start 6551.355
transcript.whisperx[255].end 6555.998
transcript.whisperx[255].text 11位12位12位12位12位12位12位12位12位12位12位12位12位12位12位
transcript.whisperx[256].start 6572.329
transcript.whisperx[256].end 6601.476
transcript.whisperx[256].text 繼續開會
transcript.whisperx[257].start 6602.061
transcript.whisperx[257].end 6604.387
transcript.whisperx[257].text 現在請岳祥文執行長
transcript.whisperx[258].start 6622.54
transcript.whisperx[258].end 6641.985
transcript.whisperx[258].text 現場的朋友大家好,我是台中市政豪暨聯盟的執行長葉祥文。我的本職工作是一個特教老師,我的學生都是重重度跟集中度智能障礙。我在台中特教已經任教了二十幾年,我看我的學生上課很多過敏的小孩,非常辛苦。
transcript.whisperx[259].start 6642.805
transcript.whisperx[259].end 6671.032
transcript.whisperx[259].text 常常一直流鼻水沒辦法好好專心上課眼睛紅皮膚癢一直抓抓到都流血那我們長期在中南部很多的孩子就是遇到這樣的問題非常非常的辛苦那今天我們知道有這樣的公聽會那我們在中部地區也長期在關注這個空污的議題知道有這樣的修法其實我們非常的關注所以今天特地從台中請假半天趕快過來跟大家分享一下我們的想法
transcript.whisperx[260].start 6671.852
transcript.whisperx[260].end 6698.01
transcript.whisperx[260].text 那剛剛提到這個授權地方這件事情到底會不會造成一些混亂我覺得我們不要空口說白話也不要製造恐懼我們來看一下國際的案例國際上到底有沒有這樣的例子有啊 比比皆是日本 美國 德國 北歐都有啊而且在什麼時候開始有這樣的地方授權讓地方政府有權力把標準定到比中央政府的標準還高
transcript.whisperx[261].start 6699.251
transcript.whisperx[261].end 6723.428
transcript.whisperx[261].text 針對污染的部分,什麼時候開始的?60年前60年前就已經有了耶日本1964年就開始了美國德國1970年代也就開始了我們台灣落後國際一甲子啊到現在政府還在說授權地方政府是空白授權啊這會造成混亂啊,廠商會擔心啊那我想問的是
transcript.whisperx[262].start 6724.289
transcript.whisperx[262].end 6747.748
transcript.whisperx[262].text 那奇怪了其他這些先進國家好像經濟也沒有比我們差嘛人家好像也沒有怎麼擔心嘛那為什麼其他國家可以做台灣做不到成功的人為成功找方法失敗的人只會為失敗找藉口好不好這是一個部分國際的標準其實都已經有那日本呢1964年德國1974年那
transcript.whisperx[263].start 6752.369
transcript.whisperx[263].end 6776.662
transcript.whisperx[263].text 中火無煤這件事情我們來看中火無煤這些事情到底能不能入法我在想2017年非核家園可以入法那2028中火無煤有什麼理由不能入法你說入這個法不行那沒關係我們入別的法電線法可不可以環境基本法可不可以那空污法為什麼不行空污法當然也可以
transcript.whisperx[264].start 6778.561
transcript.whisperx[264].end 6801.608
transcript.whisperx[264].text 他的第一條就寫嘛為了保護大家的健康嘛環境的品質嘛所以空污法為什麼不行當然可以啊符合他的目的而且燃煤電廠是空污來源很大的來源啊剛剛那個葉醫師在講我們一直知道說PM2.5很多地方都會有PM2.5但是那個土性不一樣啊
transcript.whisperx[265].start 6803.35
transcript.whisperx[265].end 6831.722
transcript.whisperx[265].text 這大家都知道嘛毒性不一樣毒性的濃度不一樣威脅不一樣啊那燃煤電廠是PM2.5裡面毒性最強的嘛那最汙染的嘛尤其是我們台中那個電廠那麼老舊那剛剛經濟部的資料我看到我還是非常的生氣經濟部到現在還在講說什麼2028中火烏梅會造成缺電還在用那個裝置容量在談這件事不要在那邊騙不懂的人不要拿裝置容量來談
transcript.whisperx[266].start 6832.847
transcript.whisperx[266].end 6860.385
transcript.whisperx[266].text 我們就談發電量我們就談發電量我們幾次的記者會就已經幫你們算好了燃氣電廠中火燃氣電廠上線之後我們現在這幾天都在關注那個有一台燃氣電廠上線之後現在幾乎每天都是運轉然後百分之九十幾%以上雖然他現在在試車還沒有正式上線但到年底兩台機組會上線兩台機組上線之後我們早就已經算過了那個
transcript.whisperx[267].start 6861.286
transcript.whisperx[267].end 6877.843
transcript.whisperx[267].text 把中火剩下的燃煤機組關掉都還有剩欸燃氣機組可以完全汰換欸完全替代燃煤機組欸所以我不懂經濟部為什麼到現在還在拿這些資料在欺騙國人以為大家都不會算數學齁這個非常的可惡啊 非常非常的可惡齁所以
transcript.whisperx[268].start 6879.344
transcript.whisperx[268].end 6893.884
transcript.whisperx[268].text 我們今天看到這樣子的修法我們其實非常的期待也希望不同黨派的立委能夠來支持這樣的提案譬如說我們中部地區要選縣市長的江啟臣譬如說何新淳
transcript.whisperx[269].start 6895.343
transcript.whisperx[269].end 6920.147
transcript.whisperx[269].text 這你應該要站出來我們台中人都在看嘛看立委有沒有人在支持這個法案誰在支持誰在擋這個我們一定會認真來關心那另外一個部分地方政府到底能不能剛剛有一些法律的學者說如果是在這個地方授權這個好像有違背一些法令的一些規則啦那我現在想的是啊
transcript.whisperx[270].start 6920.747
transcript.whisperx[270].end 6938.641
transcript.whisperx[270].text 如果有違背那其他法令能不能稍微修一下地方自治法如果目標是對的方向是對的大家都覺得這件事情是重要的大家都覺得解決空污維護人民的健康是重要的那能不能來看一看什麼地方可以調整這件事情不是做不到嗎
transcript.whisperx[271].start 6940.582
transcript.whisperx[271].end 6965.627
transcript.whisperx[271].text 剛剛有人講說我們環境部有在做啦經濟部也有目標啦問題是什麼問題是我們等不及啊問題是我們中南部的人在付出生命 付出健康 付出金錢啊我們還要等多久如果照你們經濟部的規範的規定中火要到2034年才會除疫耶我們中部地區還要死多少人我們還要花多少的錢為什麼是我們中南部的人來面對這樣的問題
transcript.whisperx[272].start 6968.254
transcript.whisperx[272].end 6980.972
transcript.whisperx[272].text 用電大家都在用 但是死人是中南部的人在死加州 美國加州 他們曾經因為加州有特殊狀況所以他們允許他們能夠訂定地方的標準
transcript.whisperx[273].start 6982.303
transcript.whisperx[273].end 6999.156
transcript.whisperx[273].text 加州也遇過這樣的問題那中南部地區地形非常的特殊環境非常的特殊所以它會有一些譬如說被封渦旋會造成污染那有這樣子的條件為什麼我們在台中地區我們不能訂定自己的標準要求加研規範那些污染
transcript.whisperx[274].start 7000.017
transcript.whisperx[274].end 7022.75
transcript.whisperx[274].text 我希望今天在座的不管是中央部會也好或是立法委員也好民意代表也好希望大家能夠一起來正視這個問題幫中南部的人幫中南部的人幫這些老的小的然後沒有權沒有勢的人今天我們很多南投來的鄉親坐了兩個多小時的車來到現在他們現在在另外的地方聽為什麼因為他們很關心這件事情
transcript.whisperx[275].start 7023.49
transcript.whisperx[275].end 7041.099
transcript.whisperx[275].text 希望這些在台北呼吸著乾淨空氣的人能夠幫我們中南部的人幫我們爭取一下讓地方有權利來做這件事情跟國際接軌謝謝好 謝謝岳祥文執行長接下來請陳憲政理事
transcript.whisperx[276].start 7050.686
transcript.whisperx[276].end 7072.275
transcript.whisperx[276].text 主席 各位先生大家好我是臺灣滿眼新竹商業協會的常務理事陳憲正我本身也是律師那我首先來先講一件事情就是大概在20應該2016年嘛那個時候有一個生媒就是在雲林的時候那個時候的李靖勇他其實就有發表過一篇說明他的講法是這樣他說
transcript.whisperx[277].start 7073.756
transcript.whisperx[277].end 7101.125
transcript.whisperx[277].text 環境保護事項是屬於地方自治事項當然這個是按照地方自治法第89條相關的規定中央政府專屬立法事項為憲法107條所明定但憲法107條沒有規定環保事項乃至於它也沒有規定更具體的空污防治事項因此就環境保護事項中央政府應該沒有專屬排他的一個立法權限
transcript.whisperx[278].start 7102.546
transcript.whisperx[278].end 7128.388
transcript.whisperx[278].text 所以環境保護事項按照目前地方自治法確實是屬於地方自治的事項這個完全沒有任何的意義那我剛剛其實聽完之後我覺得蠻遺憾的就是說我們不管是環境部也好經濟部也好他們的說帖裡面正如同李靖勇當年講的一句話他說中央政府你都站在財團的立場
transcript.whisperx[279].start 7130.171
transcript.whisperx[279].end 7145.502
transcript.whisperx[279].text 沒有正視地方民眾的健康他深表痛心結果我們今天呢換了一個執政的顏色我覺得這件事情應該也是沒有改變的那其實這件事情我覺得
transcript.whisperx[280].start 7146.974
transcript.whisperx[280].end 7175.981
transcript.whisperx[280].text 他在地方自治法跟中央兩個的權限上他其實本來就有一定的一個衝突存在能源經濟我們大家都可以理解他是屬於這個中央的一個重要的一個政策或是立法的一個事項可是如果今天能源碰到污染碰到這些空污水污染我們居然選擇都是退讓
transcript.whisperx[281].start 7177.99
transcript.whisperx[281].end 7184.342
transcript.whisperx[281].text 是以經濟優先的 把我們孩子洗不掉就對了不好意思喔 這講的比較不好聽所以其實
transcript.whisperx[282].start 7185.816
transcript.whisperx[282].end 7209.309
transcript.whisperx[282].text 我們考量的都是企業要怎麼活下去我們沒有考量這個受到汙染周邊的人要怎麼活下去這件事情沒有人在考量所以反正倒楣不是我嘛我有錢賺就好我聽到剛剛的邏輯就是這樣那我們不否認經濟它很重要可是你在考量經濟的同時你並沒有去做更多的一個
transcript.whisperx[283].start 7211.09
transcript.whisperx[283].end 7234.745
transcript.whisperx[283].text 一個政策就像剛剛講到的交通的政策也好對啊我們當然知道移動污染源它的排放量已經超過了這個固定污染源等等這個都有數據這都是科學但問題是我們政府做好管制了嘛我看不出來對啊然後在現在回過頭跟我說那邊污染比較嚴重你要管制那邊啊不是管制這邊啊這個邏輯不是很奇怪嗎
transcript.whisperx[284].start 7236.431
transcript.whisperx[284].end 7257.3
transcript.whisperx[284].text 那我們來看一下那個全國電力供需報告書齁其實這個我每年看每兩年看我都覺得非常的驚訝今年最新版的我們說賣電他是在我看一下二號集是113年然後呢三號集是114年新達的三號集是114年
transcript.whisperx[285].start 7259.353
transcript.whisperx[285].end 7277.554
transcript.whisperx[285].text 4號集是115年然後台中的12號集是115年台中的3號、4號集是120年這些資料你相信嗎?我一開始的時候大概10年前我剛開始從事環境運動的時候我也來看然後後來我就發現這些都是反指標為什麼?
transcript.whisperx[286].start 7279.295
transcript.whisperx[286].end 7292.618
transcript.whisperx[286].text 因為假退役蒸發電啊民眾看到的就是這樣子啊興達電廠今年4月23號到25號測試60個小時當時的環評是說他全年的限制是720小時備轉容量要低於8%才可以去做運轉台電給了回答說當時是測試那請問這60小時要不要算到720小時裡面我看到數據他沒有算進來邁亞電廠113年5月30號依照契約要停役
transcript.whisperx[287].start 7309.906
transcript.whisperx[287].end 7337.342
transcript.whisperx[287].text 台電呢在合約到期的前一個理由他說因為他的發電容量沒有達到契約的這個約定所以呢他認為這個部分要延續到去年的12月31號這部分我們協會有提出監察院的糾正這個也成立了他認為台電第一個沒有溝通而且呢就罔顧了區域民眾的這個健康
transcript.whisperx[288].start 7338.393
transcript.whisperx[288].end 7353.548
transcript.whisperx[288].text 然後對於空污的疑慮也沒有回應然後他還針對經濟部去糾正說他沒有盡監督之責在換月上面過度倉促他甚至違反了環評承諾再來今年好不容易拖到去年114年12月30號過了今年115年因為中東戰火
transcript.whisperx[289].start 7358.223
transcript.whisperx[289].end 7376.817
transcript.whisperx[289].text 用電吃緊結果現在賣電繼續耗用我們看到的是什麼我們看到是永無止盡就是這個電是永無止盡煤電是永無止盡的在使用所以為什麼法規要明定退廠機制亞臨界機組台中的3號4號機組120年才要除役對啊那或者邏輯上說賣電賣電他更新超超臨界
transcript.whisperx[290].start 7386.653
transcript.whisperx[290].end 7403.195
transcript.whisperx[290].text 今年明年就要除役那為什麼台中要等到120年除役這邏輯上也很奇怪啊所以這個除役的時程表上面根本就沒有一套邏輯啊對所以重點來了會無限延後
transcript.whisperx[291].start 7404.506
transcript.whisperx[291].end 7425.434
transcript.whisperx[291].text 這個才是真正的重點所以有關於法規應該要明定這個清楚的包含煤電的亞靈界超超靈界的相關的機組的一個這個時針表我們認為是非常重要的謝謝謝謝陳憲政律師現在請王月明委員答言
transcript.whisperx[292].start 7435.629
transcript.whisperx[292].end 7441.131
transcript.whisperx[292].text 謝謝主席更感謝今天有多位長期關心我們空瓶跟環境議題的社團的領導來到我們的公聽會現場在公聽會之前也先去出席了葉理事長所發起的記者會我們可以看到現場有很多來自中南部的鄉親他們希望他的空氣品質是可以更好的
transcript.whisperx[293].start 7463.678
transcript.whisperx[293].end 7476.419
transcript.whisperx[293].text 因為他擔心他的健康他也擔心下一代的健康但是在今天的公聽會我們看了這個環境部看了衛福部看了經濟部所提出來的報告
transcript.whisperx[294].start 7477.967
transcript.whisperx[294].end 7505.616
transcript.whisperx[294].text 沒有一個部會在在乎國人的健康沒有特別是像衛福部你應該要提出來就是空氣污染對於身體健康的相關的衝擊評估報告還有就是這個空氣污染現在的衝擊如何對健康的影響完全不敢提知識未提那環境部的報告相當的簡單等於把你的權利就是直接交到經濟部的手上經濟部的報告最多
transcript.whisperx[295].start 7506.596
transcript.whisperx[295].end 7521.811
transcript.whisperx[295].text 但是經濟部的報告告訴大家一件事空氣污染防治法不能修法因為會缺電用缺電來作為不能改善這個降低空氣污染的理由有沒有很荒謬
transcript.whisperx[296].start 7523.22
transcript.whisperx[296].end 7536.79
transcript.whisperx[296].text 很荒謬我們今天在談的是空氣污染經濟部告訴我們說不可以喔因為會缺點但是大家知道嗎在這個2023年的時候如果大家去翻這個當時王美花經濟部部長他告訴大家
transcript.whisperx[297].start 7541.126
transcript.whisperx[297].end 7566.497
transcript.whisperx[297].text 2023年經濟部說為什麼台灣不缺電哇經濟部的數據很漂亮可惜現在是公聽會不是直訊要不然我一定叫次長上來當時經濟部告訴大家說我們到2030年大家知道嗎我們可以淨增加910萬千瓦因為我們有大型的機組會進來所以台灣不缺電
transcript.whisperx[298].start 7568.617
transcript.whisperx[298].end 7592.602
transcript.whisperx[298].text 請問經濟部如果2023年王美花部長拿著一個大棒子告訴大家說為什麼台灣不缺電你們圖表超漂亮的這個大家可以回去找淨增加910萬千瓦結果今天你通篇的報告你告訴大家什麼不可以啊我們燃煤機組都不可以關即使是和平電廠
transcript.whisperx[299].start 7594.642
transcript.whisperx[299].end 7596.806
transcript.whisperx[299].text 它130萬千瓦你都說不可以關那為什麼你2023年的時候告訴大家說我們2030還會進增加那麼多
transcript.whisperx[300].start 7605.461
transcript.whisperx[300].end 7629.63
transcript.whisperx[300].text 之前提到核能電廠要不要除役的時候經濟部告訴大家說完全沒有問題啊完全沒有問題我們台灣的電不缺我們的被載容量率非常的高通通沒有問題為什麼今天我們在討論如何改善空氣品質的時候缺電的議題通通寫在你們的報告上面
transcript.whisperx[301].start 7630.609
transcript.whisperx[301].end 7652.959
transcript.whisperx[301].text 很嚴重啊告訴大家說北東電網這個沒有辦法我們現在只有協和跟和平苦撐那既然是這樣子當時的核二廠為什麼不讓他研議你知道核二廠的發電量是多少嗎197萬千瓦那如果你說這麼缺電的話為什麼不關和平電廠然後讓核二廠繼續研議呢你這樣子還有剩啊
transcript.whisperx[302].start 7658.001
transcript.whisperx[302].end 7680.838
transcript.whisperx[302].text 那你的整個能源政策為什麼這麼的荒唐結果你今天我們討論空氣品質的時候又來威脅大家說不可以是因為會缺電所以沒有辦法是沒有辦法還是你的政策失能你的所有的能源政策你當時在考量的時候為什麼不是用一個國際的眼光跟長遠的眼光來看待整體的能源政策這是你經濟部嚴重失職啊
transcript.whisperx[303].start 7683.92
transcript.whisperx[303].end 7690.284
transcript.whisperx[303].text 結果你今天還好意思拿缺電作為藉口來告訴大家說不可以 不可以修法 反對修法有這麼荒唐的事情嗎
transcript.whisperx[304].start 7694.997
transcript.whisperx[304].end 7722.435
transcript.whisperx[304].text 所以這件事情我真的覺得不要再拿缺電這樣子的一個理由來做藉口是你經濟部告訴大家說2030夠春啊910萬千萬你們把你們自己的資料調出來看你們說大潭這個整個燃氣機組上來之後都沒有問題所以你們當時訴求的是非核家園所有的核能都退沒有關係完全不缺電現在要講
transcript.whisperx[305].start 7723.923
transcript.whisperx[305].end 7737.684
transcript.whisperx[305].text 減少燃煤你就說缺電可以這樣子嗎那到底哪一件事情才是真的對啊到底哪一件事情才是真的所以這個基於對大家的這個健康的保障我覺得
transcript.whisperx[306].start 7738.926
transcript.whisperx[306].end 7763.119
transcript.whisperx[306].text 去檢討這些老舊的燃煤機組讓他處理這個是正確的方向更何況國際上面現在減煤才是國際的趨勢減煤才是國際的做法台灣我們要跟上世界潮流我們不可以是這麼的落後所以今天國民黨的羅勤偉委員他所提出來的版本基本上就是想要來解決這樣的一個問題
transcript.whisperx[307].start 7764.929
transcript.whisperx[307].end 7779.265
transcript.whisperx[307].text 而之後這個本行的版本也會進來我認為這次的修法其實有幾個很重要的意義第一個就是從被動轉為主動就是之前我們都說公司場所得申請改善總量
transcript.whisperx[308].start 7780.006
transcript.whisperx[308].end 7797.492
transcript.whisperx[308].text 之後應該改為要求他們改善總量就是我們應該是要更主動的去做一些要求第二點授權地方自治條例剛剛前一位先進所提到的當李靖勇李靖勇是民進黨李靖勇他說這個地方有這個權利去捍衛這個地方的這個環境的權益過去林佳龍也擔任過台中市的市長他當時也提出
transcript.whisperx[309].start 7808.255
transcript.whisperx[309].end 7835.268
transcript.whisperx[309].text 這一個生美條例要減少這一個燃眉喔那現在我們看到換黨執政顏色不一樣就不可以這個盧縣市長繼續堅持的時候被中央打回票說你地方不得去增訂那這個環境部講的理由更好笑了就是說這樣子會造成這個執行不一然後甚至上次還有個說法我覺得這個說法希望你們收回去還說地方政治裡面呢會有人藉著這個來挾持這個
transcript.whisperx[310].start 7836.949
transcript.whisperx[310].end 7839.071
transcript.whisperx[310].text 電廠或是做什麼我覺得這樣說法太荒謬地方首長請問有任何人是這樣子做嗎大家都是為了民眾的健康所以希望降低他整個這個燃美的這個
transcript.whisperx[311].start 7851.465
transcript.whisperx[311].end 7868.784
transcript.whisperx[311].text 燃煤量所以我認為這個部分也應該要改善另外應該要導入全民的監督未來這一些的降載跟改善計畫應該要上網而且呢應該要辦理公聽會讓專家學者還有在地的居民可以參與共同審查
transcript.whisperx[312].start 7869.685
transcript.whisperx[312].end 7884.774
transcript.whisperx[312].text 就是不是只有單方企業說了算最後應該用科學數據說話不是讓行政單位隨意裁量而是要基於最佳可行控制技術還有連續自動監測的科學數據來調整許可條件讓法規具備科學的公信力我想這個台灣的台灣氣候
transcript.whisperx[313].start 7894.699
transcript.whisperx[313].end 7921.406
transcript.whisperx[313].text 績效年年墊底這是一個事實主要就是我們的減煤跟減碳我們的力道都不足那現在真的是到了關鍵時刻我們應該要好好的來做一些調整跟修正了那經濟部不要把自己錯誤的能源政策遇到要減煤的時候就說缺電然後之前配合要說非核家園的時候就說我們電很夠你這樣子是自己前後矛盾
transcript.whisperx[314].start 7922.086
transcript.whisperx[314].end 7941.813
transcript.whisperx[314].text 然後一下子就被看穿了所以麻煩這個經濟部去找一下你們之前的報告告訴大家2030我們還有競爭家910萬千瓦的電趕快把它找出來那這樣子你就沒有任何理由跟藉口說減少燃煤機組會缺電 以上 謝謝謝謝王燕鳴委員的發言接下來請魏崇耀醫師
transcript.whisperx[315].start 7958.398
transcript.whisperx[315].end 7981.182
transcript.whisperx[315].text 主席好 各位委員好 各位在座的政府代表還有學者大家好我想剛剛各方 政法兩方都有陳述了很多意見我想今天這個主題這個環境 空污法的目標是為了環境跟健康最後還是要回到健康的實證的醫學其實我在海鮮那邊三十幾年從遠眺台中港
transcript.whisperx[316].start 7986.123
transcript.whisperx[316].end 8014.224
transcript.whisperx[316].text 中火的火力全開之後就完全變得一樣那地區的其實很多不管立委還是民意代表在跑那個跑那個商里啊 跑黑白鐵的那個我聽到很多立委跟我講跑10個跑10個去殯儀館的那700個都是肺腺癌過世的那更可悲的是不抽菸 婦女女生比男生還多 不抽菸那也也沒有其他的那個
transcript.whisperx[317].start 8014.965
transcript.whisperx[317].end 8016.954
transcript.whisperx[317].text 特殊的這個墨影比較那個墨影比較的會陷害這個
transcript.whisperx[318].start 8019.09
transcript.whisperx[318].end 8045.615
transcript.whisperx[318].text 很可惜這個真的問題非常的嚴重那我周邊大家都過敏那更多的小孩子更過敏其實這個健康還是經濟為了健康我們最目標最基本的最好的投資最基本就是健康的環境健康的空氣你有汙染的水我可以趕快去自己去找可是這個空氣真的無處可逃這是很可悲的等到大家發現說已經來不及了那今天這個這個公務法其實一定要從
transcript.whisperx[319].start 8047.336
transcript.whisperx[319].end 8051.985
transcript.whisperx[319].text 從嚴去界定啦那剛剛我們葉理事長講的其實很重要的一個一個
transcript.whisperx[320].start 8055.131
transcript.whisperx[320].end 8076.08
transcript.whisperx[320].text 本病比這個Lenzor & Perrin這個非常的嚴重其實它是重中之重這是一起致癌物PMS有降下來台灣市市井的努力大家有降下來但是它是附著在上面的顆粒它經過血液肺泡到血液到全身那大家知道除了對心肺腦感染的影響最重要它是跑到嬰兒媽媽孕婦胎兒裡面的
transcript.whisperx[321].start 8078.661
transcript.whisperx[321].end 8107.636
transcript.whisperx[321].text 染色體DNA它直接改造它直接造成致癌物它是一代傳一代的喔它屬於基因的毒性致癌物喔不同一般的影響你個人它影響到你下一代現在下一代所以呢健康台灣要有健康空氣要有健康的環境要有健康基本的你花再多的健保費一兆再多下一代過了幾年我們花再多的錢我們的下一代他二三十年之後他會產生各種癌症欸他已經槍千菜他的DNA裡面去沒有馬上發作等到成人之後
transcript.whisperx[322].start 8108.089
transcript.whisperx[322].end 8135.775
transcript.whisperx[322].text 他會發生各種癌症出來 這個很可怕的所以我只要強調我們的這個本病比進落後的落後很多世界國家的那個更可更可悲是落後我們的口口聲聲的那個對岸的中國那2012時候歐盟就訂的標準他是訂的1 1奈米克那世界衛生組織更嚴格1 10分之1是0.12
transcript.whisperx[323].start 8137.27
transcript.whisperx[323].end 8149.521
transcript.whisperx[323].text 那我們台灣我們每天在呼吸都是都是一二以上冬天的時候去北部或中南部輪流啦回到山長期高於幾十倍那事實上世界衛生組織講得很清楚這個
transcript.whisperx[324].start 8151.703
transcript.whisperx[324].end 8168.943
transcript.whisperx[324].text 這個本病比是根本沒有沒有這個所謂的絕對跟相對的空間最好就是零嘛它有一點點就是會致癌的吸進去了那幼兒或是胎兒在體內是完全抵抗力比我們成人更弱的那這個濃度我覺得
transcript.whisperx[325].start 8170.144
transcript.whisperx[325].end 8188.299
transcript.whisperx[325].text 一定要去好好去制定這個檢測把它降低就像當初我們努力去檢測這個PM2.5所以今天大概很多的討論都相當的好我想要懷疑一個事就是這個空腹法是為了健康那健康根據這個科學醫學的事實現在很多世界研究缺都是很
transcript.whisperx[326].start 8188.919
transcript.whisperx[326].end 8205.433
transcript.whisperx[326].text 很精確的數據都出來了所以我們除了說這個把這個空氣的標準在定義不只對我們對我們下一代你經濟再怎麼好可是身體下去一天要看病也沒用啦這個是很嚴重的事情它會穿透了而且影響到下一代
transcript.whisperx[327].start 8206.069
transcript.whisperx[327].end 8225.083
transcript.whisperx[327].text 那第二個是說今天一個重點是這個是中央地方分群還是怎麼樣誰那個其實我覺得啦真的因為你污染源在那個地方比如說中火這個荼毒了在地那麼多年那南部的興達各地的現在叫深澳等等應該要尊重當地的狀況那個濃度的擴散不一樣那是
transcript.whisperx[328].start 8225.743
transcript.whisperx[328].end 8247.385
transcript.whisperx[328].text 污染源的產生不一樣你怎麼可能一刀切呢 對不對所以這個很多的地方自治市以的精神或是因地因人而治癒我們在看病或在處理事情是一樣啊這個個案就個案來處理重要是一個大原則個案來積極處理才是真正面對的方法才能夠解決 謝謝
transcript.whisperx[329].start 8251.569
transcript.whisperx[329].end 8256.574
transcript.whisperx[329].text 謝謝魏崇耀醫師接下來請上軍喜博士各位好我是傳染病的專業我目前在台大公衛學院行政院的防疫體專案辦公室工作
transcript.whisperx[330].start 8280.234
transcript.whisperx[330].end 8305.727
transcript.whisperx[330].text 其實我的論文一直是研究登革熱我一直覺得台灣最嚴重的問題是傳染病那在我們30年前念書的時候那個時候傳染病是沒有人要念的那老師們申請計畫也相當不容易但是從2000年開始情況完全不一樣為什麼呢因為全球暖化那大家知道嗎這個過去這個疫情COVID-19
transcript.whisperx[331].start 8306.667
transcript.whisperx[331].end 8333.037
transcript.whisperx[331].text 改變了全世界讓大家很害怕但是在這個實驗室的病毒分類裡面COVID這個冠狀病毒是一個很弱的病毒那如果這樣的變動都可以改變國家那我們不敢想像就是這個全球暖化如果一直持續下去各式各樣的效應天災人禍增加我們面對的傳染病的疫情絕對是越來越嚴重
transcript.whisperx[332].start 8333.777
transcript.whisperx[332].end 8354.591
transcript.whisperx[332].text 那昨天當大家都在慶祝母親節那非常的溫馨那我想要講一個非常傷心的事情就是我們現在台灣的婦女特別是40到60歲以內正在走向一個肺腺癌的一個好像是一個
transcript.whisperx[333].start 8356.687
transcript.whisperx[333].end 8371.732
transcript.whisperx[333].text 沒有辦法避免的宿命那在過去三四十年女性肺腺癌至少增加了三倍高於男性也高於全台灣的平均
transcript.whisperx[334].start 8373.366
transcript.whisperx[334].end 8399.466
transcript.whisperx[334].text 我們知道現在台灣正在走向少子化高齡化各式各樣的危機所以現在還願意生養孩子盡心盡力照顧家庭的這些媽媽們特別如果他們還是有一個職業婦女的角色這個社會應該是非常非常寶貴非常非常重要的資源但是令人遺憾的是
transcript.whisperx[335].start 8401.547
transcript.whisperx[335].end 8417.922
transcript.whisperx[335].text 女性的癌症急速的增加 特別是乳癌跟肺癌那肺癌而已 肺腺癌最明顯這個我們的政府目前看起來就是一個好像坐一個雲霄飛車 只能讓它往前衝完全無計可施
transcript.whisperx[336].start 8419.639
transcript.whisperx[336].end 8442.506
transcript.whisperx[336].text 在我們念公共衛生的時候都知道有一個很重要的領域叫做婦幼衛生因為今天媽媽跟孩子的健康非常重要就是未來國家的根本再加上現在環境變遷的這麼厲害我們去看一下這個十大死因裡面大家覺得空污不嚴重十大死因裡面幾乎每一個
transcript.whisperx[337].start 8443.246
transcript.whisperx[337].end 8462.441
transcript.whisperx[337].text 除了這些很明顯的這些飲食的這些問題幾乎每一個都是跟PM2.5直接間接相關那不管這個大家覺得資訊夠不夠國際已經很早就認定PM2.5是一個對很多疾病都是一個重要的因子甚至包括這個
transcript.whisperx[338].start 8464.102
transcript.whisperx[338].end 8486.894
transcript.whisperx[338].text 甚至包括憂鬱症甚至包括D型的糖尿病為什麼?因為PM2.5太小了它對人造成的影響是一個全面性的毀壞那大家知道一旦這個免疫系統被毀壞那幾乎什麼病都會發生來的疫情也會更嚴重那所以我們越來越多這種年輕的媽媽一年早逝
transcript.whisperx[339].start 8489.858
transcript.whisperx[339].end 8509.737
transcript.whisperx[339].text 他剛剛講過其中大概超過九成都沒有吸菸的沒有吸菸史那這樣的壽事對於國家對於家庭的衝擊大概不是靠那些錢GDP可以衡量的那
transcript.whisperx[340].start 8511.843
transcript.whisperx[340].end 8532.668
transcript.whisperx[340].text 我們講到碳排 現在全世界都在把碳排當作最重要的任務的時候我們就好像一個鐵達尼號 大家已經快要沉船了想辦法極力地力挽狂瀾但是台灣政府現在竟然就是明白地跟整個世界潮流對槓
transcript.whisperx[341].start 8534.469
transcript.whisperx[341].end 8543.778
transcript.whisperx[341].text 所以我們很想要進WHO很想要去WHA我們不會受歡迎因為我們是髒店我們這麼小的國家我們不產煤不產油不產天然氣我們卻是要千里迢迢的進口這些東西然後燒給大家
transcript.whisperx[342].start 8554.867
transcript.whisperx[342].end 8567.938
transcript.whisperx[342].text 所以煤炭 火力發電尤其是煤炭發電它從來都不是最便宜的發電因為它的成本是外價出去它是隱藏的 它是隱藏在環境的污染
transcript.whisperx[343].start 8569.025
transcript.whisperx[343].end 8594.801
transcript.whisperx[343].text 以及我也來健保的負擔裡面的所以我在這邊我想要提出三個訴求第一個就是我們國家很可惜今天來的衛福部的官員不多我們國家可不可以針對女性肺腺癌乳癌因為這個很明顯從國外的研究都知道是大部分是從環境污染來的可不可以提出一個比較有效立即立竿進你的防治政策那第二個
transcript.whisperx[344].start 8595.902
transcript.whisperx[344].end 8610.018
transcript.whisperx[344].text 其實我們都落入了一個缺電的假議題我們很多時候可能根本不需要這麼多電這些高耗能的產業他們可能賺了很多的錢他們其實是有責任
transcript.whisperx[345].start 8611.319
transcript.whisperx[345].end 8631.032
transcript.whisperx[345].text 那去來發展產業升級我們的政府在政策上面應該有義務去引導這些產業因為這些產業他一旦面臨CBAM一旦面臨這個國際的碳稅的這個壓力他這個產業出口的這個產這個不好意思我再最後一點是沒有競爭力的
transcript.whisperx[346].start 8632.506
transcript.whisperx[346].end 8659.154
transcript.whisperx[346].text 第三點我想要補充的就是在這樣的環評的機制裡面我們常常看不到公共衛生醫護人員也很少未來我希望在各級環評的機制裡面都可以加入公共衛生的專業醫療的專業我想我們並不是要跟誰作對我們只是希望這些東西我們可以理性的來面對
transcript.whisperx[347].start 8661.755
transcript.whisperx[347].end 8685.19
transcript.whisperx[347].text 還給大家一個乾淨的呼吸空間這個是最基本的因為空跟PM2.5跟所有的癌症都有關係那降低所有癌症的發生為社會安寧跟健保的永續經營留一條活路這個才是多贏的局面好 謝謝謝謝上君寫博士接下來請洪輝祥理事長
transcript.whisperx[348].start 8692.453
transcript.whisperx[348].end 8715.777
transcript.whisperx[348].text 主席 各位專家學者 各位夥伴我是屏東來自屏東一個農業縣 觀光大縣但是卻吸的是污染城市的髒空氣屏東的平均壽命比我們台北市短了6年7個月
transcript.whisperx[349].start 8718.425
transcript.whisperx[349].end 8731.502
transcript.whisperx[349].text 我們的罹癌尤其是肺腺癌是增加率這個是學者的研究部分的學者共同研究今天也在場南部是北部增加率15倍之多
transcript.whisperx[350].start 8732.932
transcript.whisperx[350].end 8759.878
transcript.whisperx[350].text 那短壽六年多增加肺癌又這麼的高難不人難道不生氣嗎當我們生氣的時候我們找周邊的立委找周邊的朋友沒想到我們才發現2018年悄悄的被修法改變了地方政府不能去管制他的燃煤許可的license這個license不是管制燃煤是管制鍋爐操作許可
transcript.whisperx[351].start 8760.908
transcript.whisperx[351].end 8783.319
transcript.whisperx[351].text 所以他根本跟能源政策無關他是跟地方首長要確保他仆人的生命權憲法賦予他的天職有關結果他竟然被凍結了原來2018年民進黨執政的時候竟然偷偷被休掉了以前是可以的我們好憤怒
transcript.whisperx[352].start 8784.471
transcript.whisperx[352].end 8798.522
transcript.whisperx[352].text 我就覺得怎麼會一個地方首長根據地方自治根據民主主權在民這些基本邏輯他都應該為他的僕人善盡地方
transcript.whisperx[353].start 8799.641
transcript.whisperx[353].end 8820.89
transcript.whisperx[353].text 這個健康照護的責任 結果他兩手一攤我跟我們的環保局長討論 他說他唯一可以用的是好鄰居條款打電話跟高雄市政府的環保局說咱何處逼 你應該檢排 什麼都做不了所以我們應該建議立法委員把地方這個選舉沒收
transcript.whisperx[354].start 8824.022
transcript.whisperx[354].end 8849.208
transcript.whisperx[354].text 我們地方首長是照顧不了他的選民的我們應該要官派就好了中央政府去官派屏東縣縣長 高雄市市長所以我在2022年的時候就送給陳其邁市長一個奶嘴因為他管制不了中鋼中鋼確實是我們南部的Particle的貢獻高達45%
transcript.whisperx[355].start 8851.078
transcript.whisperx[355].end 8873.02
transcript.whisperx[355].text 中油在VOC的貢獻超過55台電系統在南部貢獻的PM2.5NOx都超過一半以上結果我們高雄市政府說他什麼都管不著因為這個都不是他的權限真的
transcript.whisperx[356].start 8874.921
transcript.whisperx[356].end 8893.115
transcript.whisperx[356].text 所以我們幹嘛還在花那麼多的錢勞民傷財去選縣市首長我們縣市首長就中央政府派就好了嘛而且今天也蠻符合環境部的主張環境部竟然講這些能源政策都不應該交給地方來管
transcript.whisperx[357].start 8894.471
transcript.whisperx[357].end 8921.534
transcript.whisperx[357].text 主權在民在你的認知裡面好像完全我們好像不是完全完全不是民主國家這是讓我很驚訝然後經濟部又講8000個企業然後剛剛前面的幾個朋友都說了嘛玉敏立委也說了嘛最新更正版的工部長講的是2032年一概不缺電幾個月前才跟媒體說的啊
transcript.whisperx[358].start 8922.862
transcript.whisperx[358].end 8945.362
transcript.whisperx[358].text 2032年都不缺電喔我們怎麼還在擔心它這個幽靈在線的星達 中火還有賣電這些燃煤機組它本來就依法就不應該存在了結果你們還在幫它護航然後工種還出來說如果不能讓這些燃煤電廠護屁葉子還會受創
transcript.whisperx[359].start 8951.087
transcript.whisperx[359].end 8978.189
transcript.whisperx[359].text 我終於懂了我們在這邊咳嗽我們在這邊一個一個倒在那個癌症病房送進病院原來我們的公務部門是不在乎的我還以為天真的以為說我們的公務人員會在乎我的身體健康我錯了很抱歉我真的要跟大家致歉跟經濟部致歉跟環境部致歉我錯了誤解你們了我們納稅養的不是
transcript.whisperx[360].start 8980.756
transcript.whisperx[360].end 8998.644
transcript.whisperx[360].text 這個公僕啦 我們養的是天底耶燒一堆一級自來物給公民這已經是我們所有科學知識 你們都知道的是一級自來物了你還不斷地在幫它合理化 尤其經濟部次長我覺得我對你失望透底了
transcript.whisperx[361].start 9001.002
transcript.whisperx[361].end 9027.975
transcript.whisperx[361].text 對啊 一臂的認為我們就是不能讓產業靠背產業都已經在殺人了你還要讓這種產業 一集一支不斷地排放還在為它找下台階你這不是標準公務人員 你應該被彈劾才對憲法賦予你的是保障你的公民 你是公務人員保障主人的生命財產權 不是保障
transcript.whisperx[362].start 9029.196
transcript.whisperx[362].end 9039.401
transcript.whisperx[362].text 台放一級自來物的產業主除非他給你利益輸送謝謝謝謝洪輝祥理事長接下來請林翠蘭我們行動聯盟發起人健康難道 健康難道
transcript.whisperx[363].start 9056.687
transcript.whisperx[363].end 9072.378
transcript.whisperx[363].text 大家好 我們的時段可能已經出去了早上就來中島的時候開記者會當時在802看時光轉播南島的鄉親 六分清六分清 我就想說 我做二空一年台灣健康空氣聯盟來跟我說我們第三空氣的四人的時候
transcript.whisperx[364].start 9084.608
transcript.whisperx[364].end 9104.654
transcript.whisperx[364].text 我現在開始算六分錢 我要說我的辛苦兵我所知道的 丟丟 肺腺癌 肺癌 相關疾病往生死期的 萬分我看六分錢 我說不算 我真的說不算啦我 日空一三年 加日民主進步黨我 正經選舉之旅
transcript.whisperx[365].start 9111.055
transcript.whisperx[365].end 9125.482
transcript.whisperx[365].text 中國黨代表兩年前說要把我開除黨籍因為我要去過地獄 要去過農場那時候說要把我退黨我自己就退黨了 我就你們把我開除了剛才來的一車 郵輪車 我那一輛是大林道七 水利 第三六角那一輛都是民主進步黨的
transcript.whisperx[366].start 9138.426
transcript.whisperx[366].end 9148.591
transcript.whisperx[366].text 基隆總大哥帶頭的在台東移動的時候就在走街頭沒動變成有動有動變成現在現在才知道說怎麼會這樣啦六分鐘我知道我不知道我要說什麼會的啊我們在日本的開記者會的時候有一個陳大哥
transcript.whisperx[367].start 9165.382
transcript.whisperx[367].end 9179.906
transcript.whisperx[367].text 有來一句話都不說因為在南島他也有一些地名都說不盡管退休事實說他也不過以後他才知道說他沒有當年年輕五十歲五十歲就發生了事件當時就是跟這個空汙跟小偷偷有關係真的說到現在南島人第三六角 六里很多人不知道他怎麼死的
transcript.whisperx[368].start 9194.793
transcript.whisperx[368].end 9212.626
transcript.whisperx[368].text 今年一萬八千多人都是知道的啦現在中間第四期的自己不知道要一大堆啦我在第三座社區的理事長我們那個社區三百多個委員是中部最大最最社區的人我跟你們說無論如何你們一定要去做在這張電腦當成掃描在這個當中一年的時間也十多個
transcript.whisperx[369].start 9226.304
transcript.whisperx[369].end 9237.213
transcript.whisperx[369].text 發覺說因為這個檢查 知道說自己肺腺癌經過為我一個最好的製作朋友50出頭費一個成功的企業家肺腺癌掛掉 把他一部分都掛掉我看我繼續講下去 我時間到了 我要怎樣
transcript.whisperx[370].start 9249.437
transcript.whisperx[370].end 9259.16
transcript.whisperx[370].text 我很感謝台灣健康空氣聯盟在這兩年來 用電話主動聯絡我說我住的那個地方有四人那個時候 同樣找到我的時段剛才蔡佩蕙就要送去 不放空入圍在送去的時候 她說這個時候 人才會看到你們
transcript.whisperx[371].start 9274.728
transcript.whisperx[371].end 9284.891
transcript.whisperx[371].text 組織的時期開始 原本我是藍豆縣健康協藍豆縣環保聯盟的理事長我們就懷疑說 我們把第三我們的燃煤 重油 都已經把它停掉了我們覺得我們吃夠了我只知道當時有一個更大的 更嚴重的 讓我們四名
transcript.whisperx[372].start 9300.817
transcript.whisperx[372].end 9318.914
transcript.whisperx[372].text 會不會失敗?會中邪嗎?竟然我也不知道我覺得台灣的環境教育的愚民化我是彰化時代的碩士了蓮花藥 我也不知道我今天在台灣正在講這個問題就告訴你 我就知道了時間就要到了 還要怎樣?問一次
transcript.whisperx[373].start 9324.805
transcript.whisperx[373].end 9336.927
transcript.whisperx[373].text 坐高鐵 我就要開車去黑日50分鐘反倒大地上 我就高鐵坐在台北 開去吃飯當晚我的鄉親街頭運動 今天是金剛門公廳飯 我可以做什麼我南島有我家族人 我家族人如果沒辦法生就請他們家的主人
transcript.whisperx[374].start 9350.583
transcript.whisperx[374].end 9379.202
transcript.whisperx[374].text 我小時候看到我們出民團會的一些老闆 如果這樣忘記了一些男人酒喝到無奈的時候 你會叫他的酒餐我喝醉了 我要在這裡酒餐如果把這個空污修法斷掉只要你讓人民的心碎 國家的心碎 學者 立委 也有
transcript.whisperx[375].start 9381.055
transcript.whisperx[375].end 9395.562
transcript.whisperx[375].text 那些什麼部長 經濟部長 我現在氣死了 又忘記了經濟部長 給這國民選票再來彭啟明 彭啟明 六千億我告訴你 你家的人只要動這個法案的報告總社民 老建國中部議員 中南部所有民主黨的立委任何一個人 你如果動 你家一定會中獎給你中獎 你才會知道 怎麼可以 怎麼靠 怎麼會 最新
transcript.whisperx[376].start 9411.783
transcript.whisperx[376].end 9425.309
transcript.whisperx[376].text 好不好我希望我代表藍投線因為燃眉造成癌症死亡或現在還不知道這些人這些亡靈詛咒你們謝謝林翠蘭我們行動聯盟發起人現在請鍾嘉賓委員
transcript.whisperx[377].start 9459.056
transcript.whisperx[377].end 9481.445
transcript.whisperx[377].text 好謝謝今天我們是一個空氣污染防治法的公聽會那麼這個規範的涉及到了不只是氣候還包括產業還包括能源那為什麼排放標準最好由中央來統籌制定呢我們來推演一下首先這次修法的重點我們看到不管是羅廷偉的版本還是民眾黨團的版本他這裡面都有說地方政府得這表示呢這是開放給地方一個選擇權
transcript.whisperx[378].start 9482.705
transcript.whisperx[378].end 9511.207
transcript.whisperx[378].text 包括什麼包括制定更嚴格的標準變更許可證我想這兩個都是可以說是進步的一個象徵甚至可以強制配合要求其改善或者說把審查當作一個工具超過兩個月你沒有完成就停工那也可以禁止部分燃料的使用同時他們的手段都包括許可證的展延期限都可以縮短到兩到五年或者說部分的縮短到不到兩年兩個碼都會這樣情況了解這次修法的一個概況之後往下看
transcript.whisperx[379].start 9511.747
transcript.whisperx[379].end 9533.555
transcript.whisperx[379].text 就是那地方去規定之後會有什麼樣的結果我們來推演一下因為你禁止使用部分的燃料那有可能這個電廠原來的煤電廠他就要不就改善要不能改善了他就怎麼樣企業會怎麼做可能是電廠可能是產業因為地方政府做了這樣的規定在法律授權之下因此呢他的燃料被禁止了那麼排放標準呢更加嚴了
transcript.whisperx[380].start 9534.255
transcript.whisperx[380].end 9559.136
transcript.whisperx[380].text 那請問企業會怎麼做我們來思考一下往下看所以企業會怎麼做呢因為地方這麼可以制定那比較嚴格的地區可能產業或電廠他選擇搬到其他沒有家園的縣市那這個時候他轉移進入之後那有可能成為了結果其他縣市為了防堵他們跑過來所以我們也被迫家園是不是這樣子呢有現在有一個現象叫什麼叫做企土
transcript.whisperx[381].start 9560.237
transcript.whisperx[381].end 9575.659
transcript.whisperx[381].text 氣土已經在造成這個情況了往下看好那麼如果是空氣流動跟氣土不同啊如果就算是我在某個假地方成功靜止結果電廠移到隔壁那請問在我們台灣這個大氣的氣流是不是會再回來呢
transcript.whisperx[382].start 9576.52
transcript.whisperx[382].end 9591.745
transcript.whisperx[382].text 所以為什麼過去我們有關於這個空污的制定都是由環境部做全國一個包括總量的限制目的是要思考到氣候的因素單純的授權給地方政府能夠達到比較好的局部改善嗎我們來繼續往下討論
transcript.whisperx[383].start 9593.405
transcript.whisperx[383].end 9607.157
transcript.whisperx[383].text 所以說如果A縣市加嚴 結果跑到B縣市 B縣市不動所以他們就跑到B縣市去了那B縣市有可能兩個做法 一個是他被迫法規也加嚴另外一個他說什麼 那我不加嚴 我請你們來 譬如說台積電大家喜歡台積電過去對不對 那台積電現在它是耗電量的大電力用戶現在經濟部說這些大電力的用戶請你們自備發電
transcript.whisperx[384].start 9618.956
transcript.whisperx[384].end 9647.196
transcript.whisperx[384].text 那這時候就一端一個兩難了到底地方他為了要吸引特定的產業要不要接受在法規上容許他進來的一個籌碼其實這很可惜的空氣品質如果變成跟吸引產業的一個投資籌碼可是更嚴重的是什麼B縣市沒有加鹽他爭取到了結果空氣跑回哪裡跑回加鹽的A縣市
transcript.whisperx[385].start 9648.277
transcript.whisperx[385].end 9657.218
transcript.whisperx[385].text 那個就是我們要思考一下立法能不能達到我們的目的我們的目的都是值得肯定的但是手段要怎麼做才能達到效果我們下看
transcript.whisperx[386].start 9657.99
transcript.whisperx[386].end 9684.382
transcript.whisperx[386].text 所以說今天一個火力電廠尤其是藍莓的它被認為是高度的污染所以它是零幣設施所以所在的地點我們把它加嚴了有可能電廠就因此關門了但是如果說地方有電力的需求它在面對到發電設施又有電力需求的時候零幣設施它都不要那就產生一個什麼補償的機制如果地方只要電卻不要電廠
transcript.whisperx[387].start 9686.621
transcript.whisperx[387].end 9706.24
transcript.whisperx[387].text 那沒有補償的機制會造成什麼大家都要電可是沒有人要電廠那如果我不用電廠來講我講什麼我講垃圾焚化爐在我的所在屏東我們最早開始的一個垃圾焚化爐在A鄉好了為了這樣的方式那時候的環保署給了這個鄉一個設了環
transcript.whisperx[388].start 9709.71
transcript.whisperx[388].end 9720.113
transcript.whisperx[388].text 垃圾焚化爐因為是處理全線的垃圾所以給它補償機制可是那時候忽略了這個補償機制剛才設立的時候煙囪很高啊所以那個箱很小啊
transcript.whisperx[389].start 9721.281
transcript.whisperx[389].end 9741.232
transcript.whisperx[389].text 菸都跑到哪裡去跑到其他縣市去啊其他縣市說在你那邊蓋結果補償你拿但是我們受害我們拿不到所以就算有補償機制也要思考到這個補償機制能不能將這些環境成本怎麼樣的有效的做一些適合的平衡再往下看
transcript.whisperx[390].start 9741.872
transcript.whisperx[390].end 9764.17
transcript.whisperx[390].text 所以我們來看一下空污的排放法規它的影響是多面向如果目前我們授權給地方做寬延不一的標準行政資源不一樣啦會造成污染的避風港啦跨縣市營運的企業它就可以開始挪移啦然後呢還有會排擠了一些必要的基礎設施那考量到氣候因素電力調配跟產業佈局其實我個人認為整個空污法規還是要有一個全國一致穩定且科學的標準最後結論
transcript.whisperx[391].start 9771.576
transcript.whisperx[391].end 9784.828
transcript.whisperx[391].text 就是說由於空氣污染物質難以透過人為的行政區的劃分去決定它的影響因此我們應該要建立穩定可預期的標準那這就應該要求環境部
transcript.whisperx[392].start 9786.93
transcript.whisperx[392].end 9805.867
transcript.whisperx[392].text 根据科学证据来严格的制定那在考量到空气品质产业发展跟能源需求的情况之下我们应该要有一个全国一致的规范如果有不同的抉择譬如说准许假地而不在已地那么你这样的补偿机制也要建立而且在补偿机制建立的时候
transcript.whisperx[393].start 9806.287
transcript.whisperx[393].end 9829.474
transcript.whisperx[393].text 也要注意到它的補償的效果的對應對價方式因此我在這裡我覺得剛剛我們今天在討論我們公聽會所說的這兩套的修法是否可以從這樣的原則來審視我想就我個人立場是非常的清楚以上就交給各位謝謝謝謝曾嘉斌委員接下來請李全和律師
transcript.whisperx[394].start 9839.256
transcript.whisperx[394].end 9850.98
transcript.whisperx[394].text 大家好我剛剛這個從第一位先進聽到剛剛委員在報告我的內容之前我有點想法想跟大家先分享一下就是說今天我們來討論這個法條的修正似乎支持這個法條的內容的就會比較重視空氣品質的改善不支持這個法規就不重視或反過來講如果我們今天來提到一些能源的
transcript.whisperx[395].start 9864.964
transcript.whisperx[395].end 9874.107
transcript.whisperx[395].text 調度能源的供給的平衡好像就是要去反對這個法案但是我認為這個問題他應該是不要被單純化成我支持這個法案的與否就當然性的表示我比較支持空氣還是我比較支持能源的穩定的發展我們常常有時候都會說台灣人不要既要且要既要這個又要那個但是兩個東西看起來有點衝突
transcript.whisperx[396].start 9890.231
transcript.whisperx[396].end 9908.139
transcript.whisperx[396].text 但是我今天就想要試圖做一個既要且要的人既要且要的觀點就是我既重視好的空氣品質因為剛剛幾位先進的報告也是讓我很有感觸但是同時間能源大家其實還是很在乎所以我們把能源的問題提出來不等於在反對這件事情
transcript.whisperx[397].start 9908.579
transcript.whisperx[397].end 9927.77
transcript.whisperx[397].text 我真的想說的也就是我今天要往下談的內容雖然時間很短但是就說法條的內容法條的修正本來就有很多可能性那我就只講今天的這個修法的草案因為我個人是學憲法的如果我看到他一些憲法的問題我不提出來提供給大家有其他更多的可能性當然這個
transcript.whisperx[398].start 9929.651
transcript.whisperx[398].end 9953.956
transcript.whisperx[398].text 以律師一個很務實的角度來說如果這個條文就算通過了那它裡面的違憲一定被提出來甚至有人申請釋憲就這樣子被幹掉那或許也不是大家所樂見的結果所以我想它的憲法問題很重要也就是說談了那麼多大家在談空氣品質但是又同時又在談能源那這到底是一個什麼樣的問題其實在法規設計的領域本來就很多這種複合性領域
transcript.whisperx[399].start 9954.856
transcript.whisperx[399].end 9983.451
transcript.whisperx[399].text 那我們不能說我今天是空污法我只思考空污的問題同樣的我們當然也不能說能源很重要所以變成在談的時候都往能源那個方向去偏重所以它會形成一個什麼問題我覺得問題的核心還是在分權這件事情所以我今天還是要談一下那個權力分立地方分權這個問題也就是它的關鍵可能還是會到憲法因為我們就是一個有憲法的國家憲法就是有規定權力分立有規定中央跟地方的權限分工好那今天的因為
transcript.whisperx[400].start 9984.111
transcript.whisperx[400].end 10009.448
transcript.whisperx[400].text 要對環保事項做很多的管制他其實不同的領域有一些屬於中央有一些屬於地方有一些可能屬於分權的可是就以空污這件事情來說為什麼會一直談到他可能會跟能源有關能源又會是中央事項因為那個憲法107條寫的這是我必須提一個就是在那個修法的草案有提到的我們修法的28條裡面的修法理由有特別提到4-738跟
transcript.whisperx[401].start 10011.269
transcript.whisperx[401].end 10033.268
transcript.whisperx[401].text 最高憲法第94年11月的決議可是他反而沒有提到再更後來也就是前陣子有憲法法庭的時候當然現在也有之後更早的憲法法庭111年憲判是第6號那容我念一下這段話他有說表面上看似涉及到各地方市民的事務的規範對象
transcript.whisperx[402].start 10034.229
transcript.whisperx[402].end 10051.532
transcript.whisperx[402].text 但是規範效果或試用結果如果會對轄區之外的居民事務產生直接密切的影響可能就會涉及到全國形勢下這段話能不能來做我們現在討論的重點這時候我又再提兩點一個其實是常常大家在討論的能源的供給
transcript.whisperx[403].start 10052.779
transcript.whisperx[403].end 10074.107
transcript.whisperx[403].text 就台灣的地方那麼小那是不是各縣市能夠自給自足然後大家會提到比如說南電北送這種現象我們今天不是說南電北送的現象是不是實際俗世因為這不同的看法但是大家沒有辦法否認一件事情是台灣的能源電力的調度它其實是互相影響互相支援的不管今天是南電北送北電南送就各有說法
transcript.whisperx[404].start 10074.927
transcript.whisperx[404].end 10090.275
transcript.whisperx[404].text 所以你從能源供給面來看這件事情他確實會有剛剛一年憲判制所說的他其實實質的結果可能會導致轄區外的居民這是一個憲法上我們沒辦法迴避的情況那第二個是剛剛也先進有提到一個
transcript.whisperx[405].start 10091.455
transcript.whisperx[405].end 10119.276
transcript.whisperx[405].text 造成污染的因素有很多好像有五大因素等等如果我們看真的是比較就地的因素主要還是排放遠這件事情可是排放量的結果或是地形天氣甚至剛剛也有先進提到那個二次污染轉化就化學反應這個問題它其實絕對是跨縣式的就是我們知道說空氣它不可能就是說我的地方畫一條線之後它就會停留在那邊所以我一直在想一個就是說我們要怎麼去務實的看待這件事情
transcript.whisperx[406].start 10120.077
transcript.whisperx[406].end 10136.383
transcript.whisperx[406].text 今天如果大家覺得說中央的法規標準不夠嚴格或中央執法那不是我今天要來這邊談的因為我們今天在談的是修法既然是修法我們就要面對法條本身是不是真的符合地方制度法一個憲法所授權的情況所以我講了剛剛那個事項來說為什麼它會被憲法界定為全國事項是這樣來的那當它以全國事項為這個前提之後我們來看那個新法的28條3項它產生了一個很明顯的憲法問題
transcript.whisperx[407].start 10148.627
transcript.whisperx[407].end 10166.177
transcript.whisperx[407].text 他允許讓地方更嚴格好那他在不是地方事項的情況底下在能源管制上面如果可以嚴格當然他是透過空污管制來達到能源管制的效果好那這樣的地方更嚴同時是中央只有被查權他有兩個問題第一個是如果中是屬於中央事項地方
transcript.whisperx[408].start 10167.097
transcript.whisperx[408].end 10181.658
transcript.whisperx[408].text 怎麼樣更嚴格他一旦更嚴格他就會破中央事項他就顯然抵觸了地方制度法跟憲法上的預設除非你當然要說這應該是一個地方事項或是共享事項那當然會是另外一個議題所以他會架空中央法規這是一個問題
transcript.whisperx[409].start 10182.739
transcript.whisperx[409].end 10212.419
transcript.whisperx[409].text 那中央只剩下被查權它又會再形成一個問題也就是我們的地方制度法那個26條三項事項有明寫如果你地方涉及的其實是限制禁止行為這種裁罰或管制性不利處分它其實是要核定的是不涉及的情況才能被查所以它要明顯抵觸地方制度法那我再一下下把它結束掉所以剛剛也有五位先進說那如果方向是正確的目標是正確的目的是好的那我們是不是也要搭配去做這些修法
transcript.whisperx[410].start 10212.699
transcript.whisperx[410].end 10235.067
transcript.whisperx[410].text 沒有錯或許大家就要回頭來討論那我要不要去修地方支付法我要不要去修憲法可是如果光以現在的這空法的這一策修正草案我認為把權限用這樣的方式使給地方他會有問題好那他的問題其實是一個憲法問題好那再回到剛剛其實周委員剛剛有提到也是我的另外一個想法是說他的那個0b效應也會發生在法規中
transcript.whisperx[411].start 10235.427
transcript.whisperx[411].end 10251.164
transcript.whisperx[411].text 好大家其實會有一個禁足的效果禁足什麼禁足一個法規標準怎麼樣最嚴格最低最後那個標準會是零比如說零排放好那還達到空氣管制的目標不過當各縣市都是這個結果的時候那不就在講一件事情是那這個標準不就應該要一致不就應該要統一
transcript.whisperx[412].start 10252.405
transcript.whisperx[412].end 10270.829
transcript.whisperx[412].text 至於這個一致統一你覺得應該是中央好還是地方好大家可以見仁見智有不同想法但是憲法現在的規範以及剛剛講的那個憲判制他講的就是中央所以這是我從比較憲法的角度跟大家的一點點補充當然如果還有其他想法我可能會在事後再跟大家再就教再補充好 謝謝謝謝李全和律師接下來請專案秉傑教授
transcript.whisperx[413].start 10292.644
transcript.whisperx[413].end 10310.261
transcript.whisperx[413].text 其實今天主要是要討論說每年新增的一萬八千個這個費線來如何去把它降下來我這邊其實從2011年就是被台塑告了之後或者是把國防司法停到之後其實那個問題到看到現在看了14年了
transcript.whisperx[414].start 10310.962
transcript.whisperx[414].end 10339.149
transcript.whisperx[414].text 那當中間把PM2.5變成一個國家標準我覺得其實是滿大的突破啦但是現在一直沒有辦法突破是那個肺腺癌還降不下來但是肺磷狀細胞已經降下來了那核心觀察這一點是就是我們中山醫學大學有一個李輝教授他在十幾年前就在研究肺腺癌只是我最近開始好好看他的paper那他說像
transcript.whisperx[415].start 10340.598
transcript.whisperx[415].end 10364.245
transcript.whisperx[415].text 虐跟弱虐跟弱經過PM2.5進入呼吸系統之後那它可以抑制DNA的修補能力並加速P53跟EGFR的基因突變而提高肺腺癌發生的風險這是李輝教授的研究那他提到特別兩個致癌物質是虐跟弱
transcript.whisperx[416].start 10365.245
transcript.whisperx[416].end 10387.202
transcript.whisperx[416].text 那生他沒有研究了那他說孽跟弱就主要是增加女性的肺癌他覺得是主要的一個因素在那個時間點他沒有分得很清楚肺腺癌是磷狀血斑他基本上只是講女生不抽菸得肺癌的問題所以他主要是女生我想他主要目標應該就是肺腺癌
transcript.whisperx[417].start 10388.323
transcript.whisperx[417].end 10416.133
transcript.whisperx[417].text 那我大概為這個問題我大概看了十幾年對那鎳主要的來源就是油品譬如說船舶重油電廠譬如說協和我一直希望把它淘汰掉因為那是排放鎳很大污染源汽機車也很多但汽機車裡面有些小爭議我們最近看了一下可能不是油品可能是機油可能是機油那如果
transcript.whisperx[418].start 10417.213
transcript.whisperx[418].end 10434.901
transcript.whisperx[418].text 葛洛來講的話有部分是來自萊梅電廠沒有錯那森主要是來自萊梅電廠那森我們最近做很多研究發現森應該是造成磷狀細胞癌的主要因素就是磷狀細胞癌也是剛剛葉醫師看一下在我們的海線
transcript.whisperx[419].start 10436.121
transcript.whisperx[419].end 10451.823
transcript.whisperx[419].text 那在宜蘭還有在我們彰化雲林這邊非常多的肺癌那大部分是因為跟生有關係那跟藍莓電廠的生大概占了50所以很有關係對那從大器的監測對下一頁好不好
transcript.whisperx[420].start 10454.076
transcript.whisperx[420].end 10470.655
transcript.whisperx[420].text 那從這張圖也是要講一下這張圖是很早以前的研究是2008年到2012年13年前的資料所以那個時間點台中市的女生肺腺癌是全台灣最高的那台中市
transcript.whisperx[421].start 10471.836
transcript.whisperx[421].end 10488.826
transcript.whisperx[421].text 的費線會高過台中縣那下面是台北市嘉義市也高過嘉義縣那台北市高過台北縣就那時候的新北市那台南市高過台南縣那高雄市高過高雄縣新竹市高過高雄縣
transcript.whisperx[422].start 10489.947
transcript.whisperx[422].end 10506.916
transcript.whisperx[422].text 所以從2018到剛剛說的2012年這個時間點其實費謝來這個名詞還很少人知道甚至那時候有錢人也不會去做LDCT那時候十幾年前大家不知道所以這個資料是跟大家講說
transcript.whisperx[423].start 10508.337
transcript.whisperx[423].end 10534.673
transcript.whisperx[423].text 都會的費縣來高過非都會的費縣來是在2018、2012年那時候就是這樣子的所以費縣來的高在都會的高跟大家做這費縣來篩檢其實沒有關係的因為很早以前2012年以前就是這個樣子的所以這回來衍生費縣來到底什麼造成的那回到上一頁那費縣來造成就剛剛說的
transcript.whisperx[424].start 10536.134
transcript.whisperx[424].end 10551.684
transcript.whisperx[424].text 可能李惠教授的研究來講應該是逆跟弱應該是逆跟弱所以想讓大家想一題就是說如果我們這一次主要目的是想要降到18000個肺腺癌的話我們的策略是什麼我們空法要怎麼修法
transcript.whisperx[425].start 10553.247
transcript.whisperx[425].end 10578.425
transcript.whisperx[425].text 那剛剛提到一個生物累積的一個資料或者大器的監測在下面那張圖在下面抱歉抱歉在下面的圖抱歉這個就是現在鎳的分布2022年鎳的分布那你看台中市這邊的鎳特別特別的高高雄市的鎳也特別特別的高
transcript.whisperx[426].start 10579.656
transcript.whisperx[426].end 10604.49
transcript.whisperx[426].text 那是不是跟大家講那台北市已經降下來了甚至雲林這邊也降下來了所以跟大家講說你如果要把這個一萬八千個廢線來降下去就要想辦法把台中市跟高雄市的內要把它降下來那這策略是什麼不是簡然美不是簡然美從剛剛的提示來講的話交通源可能是關鍵可能是機油是關鍵
transcript.whisperx[427].start 10606.668
transcript.whisperx[427].end 10635.383
transcript.whisperx[427].text 那所以我覺得我們一直在打鬧不曉得在鬧什麼那當然這些很多結果我只能跟大家提醒一下我絕對希望把肺腺癌降下來也希望肺磷狀腺癌持續下降藍莓持續下降那藍莓的部分在我來講已經不是重點了我想從經濟部的報告也講出來了興達的藍莓的污染已經減了99%了為什麼剩下那1%那個1%就是在去年5月的時候
transcript.whisperx[428].start 10636.403
transcript.whisperx[428].end 10661.92
transcript.whisperx[428].text 去年剪了99%的新達台中市也剪了80幾%了那剩下那1%那10幾%為了什麼呢因為我先講完已經我就問你去年的5月如果你把你如果把新達來沒停掉
transcript.whisperx[429].start 10664.574
transcript.whisperx[429].end 10688.126
transcript.whisperx[429].text 我跟你講你去年五月如果你把新達你新達如果你真的把它停掉你如果把新達不讓啟動沒有我先講先講去年的五月去年的五月新達為什麼啟動
transcript.whisperx[430].start 10690.035
transcript.whisperx[430].end 10718.245
transcript.whisperx[430].text 為什麼啟動那時候飛河那時候和平藍莓電廠三部機組因為颱風土石流全部沒有台灣一下子少掉五個機組那個時間點新達不得不啟動那如果不啟動會發生什麼事情你們高雄會限電你台中市會限電限電的時候有多少阿公阿嬤是拿個呼吸器在家裡
transcript.whisperx[431].start 10719.414
transcript.whisperx[431].end 10741.28
transcript.whisperx[431].text 你叫他停電嗎你忍心把他呼吸管排掉嗎就是只有幾天有多少阿公阿嬤在家裡我主張新達在當所有的
transcript.whisperx[432].start 10743.712
transcript.whisperx[432].end 10751.698
transcript.whisperx[432].text 辛達當全台灣有五個燃煤機組或燃氣機組當他跳的時候當他跳的時候你辛達必須起來
transcript.whisperx[433].start 10761.877
transcript.whisperx[433].end 10778.791
transcript.whisperx[433].text 他只是一年啟動個五天你都不能接受嗎那個五天是為了要你醫院那你醫院那你在家裡的父母你家裡的阿公阿嬤拿著呼吸器的時候讓他不會你知道你知道你知道
transcript.whisperx[434].start 10780.168
transcript.whisperx[434].end 10806.731
transcript.whisperx[434].text 你知道那幾天你知道再更早一次再更早一次新達跳電的時候那高雄市也停電那一天多少阿公阿嬤在高雄市至少有兩個阿公阿嬤因為呼吸器拿掉而死掉你要造成這個死人嗎所以我跟大家講
transcript.whisperx[435].start 10808.188
transcript.whisperx[435].end 10825.303
transcript.whisperx[435].text 我跟大家講那幾天那幾天新達的啟動救了很多阿公阿嬤那現在大家要減少一萬八千個人的費線來你要找到目標你的目標是誰
transcript.whisperx[436].start 10829.165
transcript.whisperx[436].end 10835.349
transcript.whisperx[436].text 那幾天五個大型機組同時沒有五個大型機組同時沒有
transcript.whisperx[437].start 10853.599
transcript.whisperx[437].end 10869.925
transcript.whisperx[437].text 那只是才啟動個五天才啟動個五天他才啟動個五天而已他已經減掉百分之九十九了剩下百分
transcript.whisperx[438].start 10870.865
transcript.whisperx[438].end 10891.374
transcript.whisperx[438].text 他只是增加百分...他只是回來百分之一那個救了很多阿公阿嬤在呼吸器好好 結束了好 謝謝在庭宿命資料謝謝謝謝選手專家及委員群已發言完畢我們請行政機關做整體回應我們先請環境部回應不好意思請請坐
transcript.whisperx[439].start 10900.918
transcript.whisperx[439].end 10913.568
transcript.whisperx[439].text 請坐下來聽我們長官的回應 謝謝請雙方冷靜坐下來好嗎
transcript.whisperx[440].start 10930.292
transcript.whisperx[440].end 10937.627
transcript.whisperx[440].text 結合男氣之主哪上上來馬上有錢更多請莊炳傑教授來主張言後先達南北電廠連你來發起
transcript.whisperx[441].start 10939.209
transcript.whisperx[441].end 10959.585
transcript.whisperx[441].text 好 不好意思 我們請環境部做回應壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力減少 壓力
transcript.whisperx[442].start 10966.359
transcript.whisperx[442].end 10985.329
transcript.whisperx[442].text 謝謝主席還有謝謝各位委員跟各位先進那麼今天的這個公聽會裡面其實我們對於各界所提出來有關於可以改善空氣溫暖的作為我們都會來把它納入來做後面的一個規劃跟考量
transcript.whisperx[443].start 10986.249
transcript.whisperx[443].end 11001.343
transcript.whisperx[443].text 但是這一次的修法的部分在各界的意見也都非常的多其實我們還是建議能夠有更多的討論讓修法可以更加周延那麼如果有關於其他的
transcript.whisperx[444].start 11002.223
transcript.whisperx[444].end 11024.538
transcript.whisperx[444].text 我們剛剛有提到的疾病跟空氣管的關係的話那我剛剛在報告的時候我們彭部長已經跟衛福部這裡有一個雙次長的會議就這個部分來做對那我們也是從這裡來規劃這相關的研究還有把這方面來為一個提升那以上簡單的說明 謝謝
transcript.whisperx[445].start 11026.899
transcript.whisperx[445].end 11038.684
transcript.whisperx[445].text 電動牌裡面管控好謝謝環境部次長現在請經濟部次長電動牌裡面管控電小啦730天百日新政可以7年7年的百日新政
transcript.whisperx[446].start 11040.601
transcript.whisperx[446].end 11064.035
transcript.whisperx[446].text 主席各位專家學者謝謝各位今天的指正那我想很顯然大家對這個空法的修法需要更多的討論那因為許多的數據許多的科學的論證其實更需要更多的這個各界這邊來蒐集而且提出來
transcript.whisperx[447].start 11065.656
transcript.whisperx[447].end 11094.07
transcript.whisperx[447].text 穩定供電一向是經濟部非常重要的一個任務那協助產業的發展以及協助民生的各項用電的需求那都是經濟部重大的一個任務重大的責任那我想台電在穩定供電上是有許多的電源調度的一些責任
transcript.whisperx[448].start 11094.77
transcript.whisperx[448].end 11119.141
transcript.whisperx[448].text 那我想今天各位大家的指正我想我們會帶回去作為政策的參考那我希望更多的公聽會能夠透過各界的討論還有意見的交換能夠來形成共識再來決定是不是要做修法以上是經濟部的一個報告
transcript.whisperx[449].start 11120.441
transcript.whisperx[449].end 11143.532
transcript.whisperx[449].text 好謝謝次長回應做一下結論依據立法院之前新司法規定委員會應提出公聽會報告送交本院全體委員及出席者公聽會報告作為審查特定議案的參考我會把各位的寶貴意見及書面資料匯整成冊分送給本院的全體委員及與會的政府機關代表學者專家參閱
transcript.whisperx[450].start 11144.693
transcript.whisperx[450].end 11151.219
transcript.whisperx[450].text 今天非常感謝各位的出席並提供寶貴意見本次公聽會到此結束 散會