iVOD / 17221

Field Value
IVOD_ID 17221
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/17221
日期 2026-01-23
會議資料.會議代碼 黨團協商-2026012085
會議資料.會議代碼:str 立法院朝野黨團協商
會議資料.屆 11
會議資料.會期 4
會議資料.種類 黨團協商
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 立法院朝野黨團協商
影片種類 Full
開始時間 2026-01-23T09:31:05+08:00
結束時間 2026-01-23T12:45:00+08:00
影片長度 03:13:55
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/bfaf9b39ac01a685742d3c26ea2a9564db8a0ad639719a57e692bdb9a1e4797783aacc12d86f7eba5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2026-01-23T09:40:00+08:00
會議名稱 立法院朝野黨團協商(事由:一、本院社會福利及衛生環境委員會報告併案審查行政院函請審議、委員林月琴等16人、委員何欣純等16人、委員王育敏等24人、委員邱若華等16人、委員黃捷等21人、委員蔡易餘等17人、委員李坤城等22人、委員陳培瑜等19人、委員郭昱晴等21人、委員陳素月等16人、委員鄭天財SraKacaw等18人、委員王美惠等19人、委員林淑芬等25人、委員王正旭等18人、委員吳沛憶等19人分別擬具「兒童托育服務法草案」、委員游顥等17人擬具「兒童托育多元服務法草案」、委員范雲等17人、委員李彥秀等16人、委員羅廷瑋等17人、委員張雅琳等16人、委員吳琪銘等19人、委員伍麗華SaidhaiTahovecahe等26人、委員陳菁徽等17人、委員蘇巧慧等16人、委員顏寬恒等16人、委員劉建國等18人、委員黃健豪等17人、委員洪孟楷等21人、委員張嘉郡等19人分別擬具「兒童托育服務法草案」等30案。逕付二讀併案協商:委員郭國文等18人擬具「兒童托育服務法草案」、本院委員徐巧芯等16人擬具「兒童托育服務法草案」。)
委員名稱 完整會議
委員發言時間 09:31:05 - 12:45:00
transcript.pyannote[0].speaker SPEAKER_05
transcript.pyannote[0].start 206.19284375
transcript.pyannote[0].end 207.17159375
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 249.34221875
transcript.pyannote[1].end 250.05096875
transcript.pyannote[2].speaker SPEAKER_05
transcript.pyannote[2].start 256.22721875
transcript.pyannote[2].end 256.53096875
transcript.pyannote[3].speaker SPEAKER_05
transcript.pyannote[3].start 270.53721875
transcript.pyannote[3].end 270.65534375
transcript.pyannote[4].speaker SPEAKER_05
transcript.pyannote[4].start 271.07721875
transcript.pyannote[4].end 273.03471875
transcript.pyannote[5].speaker SPEAKER_08
transcript.pyannote[5].start 788.44784375
transcript.pyannote[5].end 794.91096875
transcript.pyannote[6].speaker SPEAKER_08
transcript.pyannote[6].start 880.46721875
transcript.pyannote[6].end 883.45409375
transcript.pyannote[7].speaker SPEAKER_08
transcript.pyannote[7].start 889.91721875
transcript.pyannote[7].end 890.67659375
transcript.pyannote[8].speaker SPEAKER_08
transcript.pyannote[8].start 891.87471875
transcript.pyannote[8].end 893.76471875
transcript.pyannote[9].speaker SPEAKER_08
transcript.pyannote[9].start 899.06346875
transcript.pyannote[9].end 899.78909375
transcript.pyannote[10].speaker SPEAKER_08
transcript.pyannote[10].start 900.17721875
transcript.pyannote[10].end 902.86034375
transcript.pyannote[11].speaker SPEAKER_08
transcript.pyannote[11].start 903.38346875
transcript.pyannote[11].end 903.82221875
transcript.pyannote[12].speaker SPEAKER_16
transcript.pyannote[12].start 1367.24346875
transcript.pyannote[12].end 1367.93534375
transcript.pyannote[13].speaker SPEAKER_10
transcript.pyannote[13].start 1367.93534375
transcript.pyannote[13].end 1369.26846875
transcript.pyannote[14].speaker SPEAKER_10
transcript.pyannote[14].start 1370.78721875
transcript.pyannote[14].end 1371.68159375
transcript.pyannote[15].speaker SPEAKER_10
transcript.pyannote[15].start 1372.55909375
transcript.pyannote[15].end 1373.35221875
transcript.pyannote[16].speaker SPEAKER_05
transcript.pyannote[16].start 1373.35221875
transcript.pyannote[16].end 1373.40284375
transcript.pyannote[17].speaker SPEAKER_16
transcript.pyannote[17].start 1373.40284375
transcript.pyannote[17].end 1373.43659375
transcript.pyannote[18].speaker SPEAKER_05
transcript.pyannote[18].start 1373.43659375
transcript.pyannote[18].end 1373.47034375
transcript.pyannote[19].speaker SPEAKER_16
transcript.pyannote[19].start 1373.47034375
transcript.pyannote[19].end 1373.77409375
transcript.pyannote[20].speaker SPEAKER_10
transcript.pyannote[20].start 1374.39846875
transcript.pyannote[20].end 1376.45721875
transcript.pyannote[21].speaker SPEAKER_10
transcript.pyannote[21].start 1377.13221875
transcript.pyannote[21].end 1378.02659375
transcript.pyannote[22].speaker SPEAKER_10
transcript.pyannote[22].start 1378.46534375
transcript.pyannote[22].end 1379.61284375
transcript.pyannote[23].speaker SPEAKER_10
transcript.pyannote[23].start 1380.13596875
transcript.pyannote[23].end 1382.86971875
transcript.pyannote[24].speaker SPEAKER_10
transcript.pyannote[24].start 1383.71346875
transcript.pyannote[24].end 1384.01721875
transcript.pyannote[25].speaker SPEAKER_10
transcript.pyannote[25].start 1384.52346875
transcript.pyannote[25].end 1386.00846875
transcript.pyannote[26].speaker SPEAKER_10
transcript.pyannote[26].start 1387.34159375
transcript.pyannote[26].end 1388.67471875
transcript.pyannote[27].speaker SPEAKER_10
transcript.pyannote[27].start 1389.67034375
transcript.pyannote[27].end 1391.05409375
transcript.pyannote[28].speaker SPEAKER_10
transcript.pyannote[28].start 1391.59409375
transcript.pyannote[28].end 1391.91471875
transcript.pyannote[29].speaker SPEAKER_10
transcript.pyannote[29].start 1392.33659375
transcript.pyannote[29].end 1394.98596875
transcript.pyannote[30].speaker SPEAKER_10
transcript.pyannote[30].start 1396.15034375
transcript.pyannote[30].end 1398.31034375
transcript.pyannote[31].speaker SPEAKER_10
transcript.pyannote[31].start 1399.84596875
transcript.pyannote[31].end 1401.26346875
transcript.pyannote[32].speaker SPEAKER_10
transcript.pyannote[32].start 1402.73159375
transcript.pyannote[32].end 1405.60034375
transcript.pyannote[33].speaker SPEAKER_10
transcript.pyannote[33].start 1406.61284375
transcript.pyannote[33].end 1406.96721875
transcript.pyannote[34].speaker SPEAKER_10
transcript.pyannote[34].start 1407.49034375
transcript.pyannote[34].end 1408.45221875
transcript.pyannote[35].speaker SPEAKER_10
transcript.pyannote[35].start 1408.72221875
transcript.pyannote[35].end 1410.10596875
transcript.pyannote[36].speaker SPEAKER_10
transcript.pyannote[36].start 1410.34221875
transcript.pyannote[36].end 1411.11846875
transcript.pyannote[37].speaker SPEAKER_05
transcript.pyannote[37].start 1411.75971875
transcript.pyannote[37].end 1412.21534375
transcript.pyannote[38].speaker SPEAKER_10
transcript.pyannote[38].start 1412.21534375
transcript.pyannote[38].end 1413.04221875
transcript.pyannote[39].speaker SPEAKER_10
transcript.pyannote[39].start 1413.24471875
transcript.pyannote[39].end 1414.10534375
transcript.pyannote[40].speaker SPEAKER_10
transcript.pyannote[40].start 1414.59471875
transcript.pyannote[40].end 1416.90659375
transcript.pyannote[41].speaker SPEAKER_10
transcript.pyannote[41].start 1418.18909375
transcript.pyannote[41].end 1420.82159375
transcript.pyannote[42].speaker SPEAKER_10
transcript.pyannote[42].start 1421.27721875
transcript.pyannote[42].end 1421.69909375
transcript.pyannote[43].speaker SPEAKER_10
transcript.pyannote[43].start 1422.18846875
transcript.pyannote[43].end 1423.57221875
transcript.pyannote[44].speaker SPEAKER_10
transcript.pyannote[44].start 1424.28096875
transcript.pyannote[44].end 1424.63534375
transcript.pyannote[45].speaker SPEAKER_10
transcript.pyannote[45].start 1425.04034375
transcript.pyannote[45].end 1427.04846875
transcript.pyannote[46].speaker SPEAKER_10
transcript.pyannote[46].start 1427.38596875
transcript.pyannote[46].end 1428.48284375
transcript.pyannote[47].speaker SPEAKER_10
transcript.pyannote[47].start 1429.61346875
transcript.pyannote[47].end 1430.03534375
transcript.pyannote[48].speaker SPEAKER_10
transcript.pyannote[48].start 1430.38971875
transcript.pyannote[48].end 1433.83221875
transcript.pyannote[49].speaker SPEAKER_10
transcript.pyannote[49].start 1435.11471875
transcript.pyannote[49].end 1435.38471875
transcript.pyannote[50].speaker SPEAKER_10
transcript.pyannote[50].start 1435.75596875
transcript.pyannote[50].end 1439.04659375
transcript.pyannote[51].speaker SPEAKER_10
transcript.pyannote[51].start 1439.45159375
transcript.pyannote[51].end 1440.02534375
transcript.pyannote[52].speaker SPEAKER_10
transcript.pyannote[52].start 1440.37971875
transcript.pyannote[52].end 1442.37096875
transcript.pyannote[53].speaker SPEAKER_10
transcript.pyannote[53].start 1444.31159375
transcript.pyannote[53].end 1446.03284375
transcript.pyannote[54].speaker SPEAKER_10
transcript.pyannote[54].start 1446.23534375
transcript.pyannote[54].end 1447.88909375
transcript.pyannote[55].speaker SPEAKER_10
transcript.pyannote[55].start 1448.42909375
transcript.pyannote[55].end 1450.48784375
transcript.pyannote[56].speaker SPEAKER_10
transcript.pyannote[56].start 1451.39909375
transcript.pyannote[56].end 1451.71971875
transcript.pyannote[57].speaker SPEAKER_10
transcript.pyannote[57].start 1452.10784375
transcript.pyannote[57].end 1453.25534375
transcript.pyannote[58].speaker SPEAKER_10
transcript.pyannote[58].start 1453.87971875
transcript.pyannote[58].end 1454.45346875
transcript.pyannote[59].speaker SPEAKER_10
transcript.pyannote[59].start 1455.71909375
transcript.pyannote[59].end 1456.30971875
transcript.pyannote[60].speaker SPEAKER_10
transcript.pyannote[60].start 1457.65971875
transcript.pyannote[60].end 1457.89596875
transcript.pyannote[61].speaker SPEAKER_10
transcript.pyannote[61].start 1458.21659375
transcript.pyannote[61].end 1459.17846875
transcript.pyannote[62].speaker SPEAKER_10
transcript.pyannote[62].start 1459.73534375
transcript.pyannote[62].end 1460.47784375
transcript.pyannote[63].speaker SPEAKER_10
transcript.pyannote[63].start 1460.83221875
transcript.pyannote[63].end 1461.22034375
transcript.pyannote[64].speaker SPEAKER_10
transcript.pyannote[64].start 1461.74346875
transcript.pyannote[64].end 1462.75596875
transcript.pyannote[65].speaker SPEAKER_05
transcript.pyannote[65].start 1467.12659375
transcript.pyannote[65].end 1467.19409375
transcript.pyannote[66].speaker SPEAKER_10
transcript.pyannote[66].start 1468.42596875
transcript.pyannote[66].end 1469.59034375
transcript.pyannote[67].speaker SPEAKER_10
transcript.pyannote[67].start 1469.87721875
transcript.pyannote[67].end 1471.49721875
transcript.pyannote[68].speaker SPEAKER_10
transcript.pyannote[68].start 1472.17221875
transcript.pyannote[68].end 1473.35346875
transcript.pyannote[69].speaker SPEAKER_10
transcript.pyannote[69].start 1473.84284375
transcript.pyannote[69].end 1476.98159375
transcript.pyannote[70].speaker SPEAKER_10
transcript.pyannote[70].start 1477.96034375
transcript.pyannote[70].end 1478.51721875
transcript.pyannote[71].speaker SPEAKER_10
transcript.pyannote[71].start 1479.25971875
transcript.pyannote[71].end 1483.30971875
transcript.pyannote[72].speaker SPEAKER_10
transcript.pyannote[72].start 1483.96784375
transcript.pyannote[72].end 1484.37284375
transcript.pyannote[73].speaker SPEAKER_10
transcript.pyannote[73].start 1484.84534375
transcript.pyannote[73].end 1486.92096875
transcript.pyannote[74].speaker SPEAKER_10
transcript.pyannote[74].start 1487.15721875
transcript.pyannote[74].end 1487.95034375
transcript.pyannote[75].speaker SPEAKER_10
transcript.pyannote[75].start 1488.28784375
transcript.pyannote[75].end 1488.72659375
transcript.pyannote[76].speaker SPEAKER_10
transcript.pyannote[76].start 1489.36784375
transcript.pyannote[76].end 1489.84034375
transcript.pyannote[77].speaker SPEAKER_10
transcript.pyannote[77].start 1490.66721875
transcript.pyannote[77].end 1491.54471875
transcript.pyannote[78].speaker SPEAKER_10
transcript.pyannote[78].start 1492.54034375
transcript.pyannote[78].end 1494.34596875
transcript.pyannote[79].speaker SPEAKER_10
transcript.pyannote[79].start 1495.35846875
transcript.pyannote[79].end 1496.01659375
transcript.pyannote[80].speaker SPEAKER_10
transcript.pyannote[80].start 1496.92784375
transcript.pyannote[80].end 1511.50784375
transcript.pyannote[81].speaker SPEAKER_10
transcript.pyannote[81].start 1511.86221875
transcript.pyannote[81].end 1515.32159375
transcript.pyannote[82].speaker SPEAKER_10
transcript.pyannote[82].start 1515.55784375
transcript.pyannote[82].end 1520.21534375
transcript.pyannote[83].speaker SPEAKER_10
transcript.pyannote[83].start 1522.22346875
transcript.pyannote[83].end 1522.40909375
transcript.pyannote[84].speaker SPEAKER_10
transcript.pyannote[84].start 1523.26971875
transcript.pyannote[84].end 1527.40409375
transcript.pyannote[85].speaker SPEAKER_10
transcript.pyannote[85].start 1527.58971875
transcript.pyannote[85].end 1528.63596875
transcript.pyannote[86].speaker SPEAKER_10
transcript.pyannote[86].start 1528.80471875
transcript.pyannote[86].end 1531.48784375
transcript.pyannote[87].speaker SPEAKER_05
transcript.pyannote[87].start 1534.13721875
transcript.pyannote[87].end 1534.79534375
transcript.pyannote[88].speaker SPEAKER_13
transcript.pyannote[88].start 1534.79534375
transcript.pyannote[88].end 1619.18721875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 1578.94034375
transcript.pyannote[89].end 1579.36221875
transcript.pyannote[90].speaker SPEAKER_13
transcript.pyannote[90].start 1619.55846875
transcript.pyannote[90].end 1629.90284375
transcript.pyannote[91].speaker SPEAKER_10
transcript.pyannote[91].start 1631.21909375
transcript.pyannote[91].end 1632.68721875
transcript.pyannote[92].speaker SPEAKER_10
transcript.pyannote[92].start 1633.00784375
transcript.pyannote[92].end 1635.04971875
transcript.pyannote[93].speaker SPEAKER_10
transcript.pyannote[93].start 1635.84284375
transcript.pyannote[93].end 1638.10409375
transcript.pyannote[94].speaker SPEAKER_10
transcript.pyannote[94].start 1638.44159375
transcript.pyannote[94].end 1638.67784375
transcript.pyannote[95].speaker SPEAKER_10
transcript.pyannote[95].start 1639.23471875
transcript.pyannote[95].end 1641.68159375
transcript.pyannote[96].speaker SPEAKER_12
transcript.pyannote[96].start 1642.33971875
transcript.pyannote[96].end 1651.08096875
transcript.pyannote[97].speaker SPEAKER_12
transcript.pyannote[97].start 1651.11471875
transcript.pyannote[97].end 1658.15159375
transcript.pyannote[98].speaker SPEAKER_12
transcript.pyannote[98].start 1658.28659375
transcript.pyannote[98].end 1661.00346875
transcript.pyannote[99].speaker SPEAKER_12
transcript.pyannote[99].start 1661.40846875
transcript.pyannote[99].end 1662.31971875
transcript.pyannote[100].speaker SPEAKER_12
transcript.pyannote[100].start 1662.58971875
transcript.pyannote[100].end 1662.85971875
transcript.pyannote[101].speaker SPEAKER_12
transcript.pyannote[101].start 1663.28159375
transcript.pyannote[101].end 1664.04096875
transcript.pyannote[102].speaker SPEAKER_12
transcript.pyannote[102].start 1664.26034375
transcript.pyannote[102].end 1680.29159375
transcript.pyannote[103].speaker SPEAKER_12
transcript.pyannote[103].start 1681.45596875
transcript.pyannote[103].end 1682.31659375
transcript.pyannote[104].speaker SPEAKER_12
transcript.pyannote[104].start 1683.61596875
transcript.pyannote[104].end 1683.91971875
transcript.pyannote[105].speaker SPEAKER_12
transcript.pyannote[105].start 1684.56096875
transcript.pyannote[105].end 1686.58596875
transcript.pyannote[106].speaker SPEAKER_12
transcript.pyannote[106].start 1686.95721875
transcript.pyannote[106].end 1693.79159375
transcript.pyannote[107].speaker SPEAKER_10
transcript.pyannote[107].start 1694.70284375
transcript.pyannote[107].end 1697.77409375
transcript.pyannote[108].speaker SPEAKER_15
transcript.pyannote[108].start 1696.69409375
transcript.pyannote[108].end 1727.27159375
transcript.pyannote[109].speaker SPEAKER_10
transcript.pyannote[109].start 1727.77784375
transcript.pyannote[109].end 1729.78596875
transcript.pyannote[110].speaker SPEAKER_18
transcript.pyannote[110].start 1733.48159375
transcript.pyannote[110].end 1751.41971875
transcript.pyannote[111].speaker SPEAKER_18
transcript.pyannote[111].start 1751.60534375
transcript.pyannote[111].end 1869.25784375
transcript.pyannote[112].speaker SPEAKER_10
transcript.pyannote[112].start 1870.79346875
transcript.pyannote[112].end 1874.40471875
transcript.pyannote[113].speaker SPEAKER_06
transcript.pyannote[113].start 1875.14721875
transcript.pyannote[113].end 1876.32846875
transcript.pyannote[114].speaker SPEAKER_06
transcript.pyannote[114].start 1876.96971875
transcript.pyannote[114].end 1892.19096875
transcript.pyannote[115].speaker SPEAKER_06
transcript.pyannote[115].start 1892.24159375
transcript.pyannote[115].end 1915.46159375
transcript.pyannote[116].speaker SPEAKER_06
transcript.pyannote[116].start 1916.06909375
transcript.pyannote[116].end 1918.70159375
transcript.pyannote[117].speaker SPEAKER_06
transcript.pyannote[117].start 1918.93784375
transcript.pyannote[117].end 1954.08846875
transcript.pyannote[118].speaker SPEAKER_10
transcript.pyannote[118].start 1955.15159375
transcript.pyannote[118].end 1956.33284375
transcript.pyannote[119].speaker SPEAKER_06
transcript.pyannote[119].start 1957.58159375
transcript.pyannote[119].end 1957.61534375
transcript.pyannote[120].speaker SPEAKER_07
transcript.pyannote[120].start 1957.61534375
transcript.pyannote[120].end 1977.62909375
transcript.pyannote[121].speaker SPEAKER_07
transcript.pyannote[121].start 1978.10159375
transcript.pyannote[121].end 1982.45534375
transcript.pyannote[122].speaker SPEAKER_07
transcript.pyannote[122].start 1986.89346875
transcript.pyannote[122].end 1991.80409375
transcript.pyannote[123].speaker SPEAKER_07
transcript.pyannote[123].start 1991.87159375
transcript.pyannote[123].end 2001.49034375
transcript.pyannote[124].speaker SPEAKER_07
transcript.pyannote[124].start 2001.79409375
transcript.pyannote[124].end 2003.48159375
transcript.pyannote[125].speaker SPEAKER_07
transcript.pyannote[125].start 2003.68409375
transcript.pyannote[125].end 2125.84221875
transcript.pyannote[126].speaker SPEAKER_10
transcript.pyannote[126].start 2128.20471875
transcript.pyannote[126].end 2128.55909375
transcript.pyannote[127].speaker SPEAKER_10
transcript.pyannote[127].start 2129.18346875
transcript.pyannote[127].end 2129.58846875
transcript.pyannote[128].speaker SPEAKER_10
transcript.pyannote[128].start 2131.37721875
transcript.pyannote[128].end 2132.59221875
transcript.pyannote[129].speaker SPEAKER_10
transcript.pyannote[129].start 2133.43596875
transcript.pyannote[129].end 2133.73971875
transcript.pyannote[130].speaker SPEAKER_10
transcript.pyannote[130].start 2136.67596875
transcript.pyannote[130].end 2137.82346875
transcript.pyannote[131].speaker SPEAKER_12
transcript.pyannote[131].start 2139.59534375
transcript.pyannote[131].end 2147.45909375
transcript.pyannote[132].speaker SPEAKER_10
transcript.pyannote[132].start 2149.06221875
transcript.pyannote[132].end 2149.33221875
transcript.pyannote[133].speaker SPEAKER_10
transcript.pyannote[133].start 2150.31096875
transcript.pyannote[133].end 2151.01971875
transcript.pyannote[134].speaker SPEAKER_10
transcript.pyannote[134].start 2151.55971875
transcript.pyannote[134].end 2151.79596875
transcript.pyannote[135].speaker SPEAKER_10
transcript.pyannote[135].start 2155.69409375
transcript.pyannote[135].end 2156.77409375
transcript.pyannote[136].speaker SPEAKER_07
transcript.pyannote[136].start 2159.91284375
transcript.pyannote[136].end 2169.05909375
transcript.pyannote[137].speaker SPEAKER_07
transcript.pyannote[137].start 2170.35846875
transcript.pyannote[137].end 2173.21034375
transcript.pyannote[138].speaker SPEAKER_10
transcript.pyannote[138].start 2174.10471875
transcript.pyannote[138].end 2180.63534375
transcript.pyannote[139].speaker SPEAKER_10
transcript.pyannote[139].start 2181.32721875
transcript.pyannote[139].end 2181.51284375
transcript.pyannote[140].speaker SPEAKER_10
transcript.pyannote[140].start 2193.27471875
transcript.pyannote[140].end 2193.49409375
transcript.pyannote[141].speaker SPEAKER_10
transcript.pyannote[141].start 2194.43909375
transcript.pyannote[141].end 2194.70909375
transcript.pyannote[142].speaker SPEAKER_10
transcript.pyannote[142].start 2196.04221875
transcript.pyannote[142].end 2196.27846875
transcript.pyannote[143].speaker SPEAKER_10
transcript.pyannote[143].start 2196.73409375
transcript.pyannote[143].end 2197.08846875
transcript.pyannote[144].speaker SPEAKER_12
transcript.pyannote[144].start 2198.11784375
transcript.pyannote[144].end 2199.58596875
transcript.pyannote[145].speaker SPEAKER_10
transcript.pyannote[145].start 2199.85596875
transcript.pyannote[145].end 2200.73346875
transcript.pyannote[146].speaker SPEAKER_10
transcript.pyannote[146].start 2200.95284375
transcript.pyannote[146].end 2202.80909375
transcript.pyannote[147].speaker SPEAKER_10
transcript.pyannote[147].start 2203.14659375
transcript.pyannote[147].end 2205.49221875
transcript.pyannote[148].speaker SPEAKER_10
transcript.pyannote[148].start 2206.23471875
transcript.pyannote[148].end 2207.78721875
transcript.pyannote[149].speaker SPEAKER_13
transcript.pyannote[149].start 2211.68534375
transcript.pyannote[149].end 2305.69596875
transcript.pyannote[150].speaker SPEAKER_10
transcript.pyannote[150].start 2308.93596875
transcript.pyannote[150].end 2309.27346875
transcript.pyannote[151].speaker SPEAKER_10
transcript.pyannote[151].start 2309.54346875
transcript.pyannote[151].end 2311.12971875
transcript.pyannote[152].speaker SPEAKER_06
transcript.pyannote[152].start 2312.49659375
transcript.pyannote[152].end 2330.94096875
transcript.pyannote[153].speaker SPEAKER_06
transcript.pyannote[153].start 2331.86909375
transcript.pyannote[153].end 2344.44096875
transcript.pyannote[154].speaker SPEAKER_06
transcript.pyannote[154].start 2344.99784375
transcript.pyannote[154].end 2353.19909375
transcript.pyannote[155].speaker SPEAKER_10
transcript.pyannote[155].start 2355.59534375
transcript.pyannote[155].end 2355.91596875
transcript.pyannote[156].speaker SPEAKER_10
transcript.pyannote[156].start 2356.43909375
transcript.pyannote[156].end 2357.09721875
transcript.pyannote[157].speaker SPEAKER_10
transcript.pyannote[157].start 2357.85659375
transcript.pyannote[157].end 2359.51034375
transcript.pyannote[158].speaker SPEAKER_10
transcript.pyannote[158].start 2359.86471875
transcript.pyannote[158].end 2362.34534375
transcript.pyannote[159].speaker SPEAKER_10
transcript.pyannote[159].start 2363.02034375
transcript.pyannote[159].end 2364.75846875
transcript.pyannote[160].speaker SPEAKER_10
transcript.pyannote[160].start 2365.53471875
transcript.pyannote[160].end 2366.17596875
transcript.pyannote[161].speaker SPEAKER_10
transcript.pyannote[161].start 2366.69909375
transcript.pyannote[161].end 2367.12096875
transcript.pyannote[162].speaker SPEAKER_13
transcript.pyannote[162].start 2371.71096875
transcript.pyannote[162].end 2372.72346875
transcript.pyannote[163].speaker SPEAKER_10
transcript.pyannote[163].start 2372.72346875
transcript.pyannote[163].end 2376.82409375
transcript.pyannote[164].speaker SPEAKER_13
transcript.pyannote[164].start 2376.82409375
transcript.pyannote[164].end 2411.67096875
transcript.pyannote[165].speaker SPEAKER_13
transcript.pyannote[165].start 2412.90284375
transcript.pyannote[165].end 2413.24034375
transcript.pyannote[166].speaker SPEAKER_15
transcript.pyannote[166].start 2413.24034375
transcript.pyannote[166].end 2413.27409375
transcript.pyannote[167].speaker SPEAKER_15
transcript.pyannote[167].start 2413.49346875
transcript.pyannote[167].end 2427.85409375
transcript.pyannote[168].speaker SPEAKER_13
transcript.pyannote[168].start 2426.58846875
transcript.pyannote[168].end 2428.02284375
transcript.pyannote[169].speaker SPEAKER_10
transcript.pyannote[169].start 2428.02284375
transcript.pyannote[169].end 2428.34346875
transcript.pyannote[170].speaker SPEAKER_13
transcript.pyannote[170].start 2428.34346875
transcript.pyannote[170].end 2428.37721875
transcript.pyannote[171].speaker SPEAKER_10
transcript.pyannote[171].start 2428.37721875
transcript.pyannote[171].end 2428.47846875
transcript.pyannote[172].speaker SPEAKER_13
transcript.pyannote[172].start 2428.47846875
transcript.pyannote[172].end 2428.74846875
transcript.pyannote[173].speaker SPEAKER_15
transcript.pyannote[173].start 2428.74846875
transcript.pyannote[173].end 2430.45284375
transcript.pyannote[174].speaker SPEAKER_13
transcript.pyannote[174].start 2428.76534375
transcript.pyannote[174].end 2428.88346875
transcript.pyannote[175].speaker SPEAKER_13
transcript.pyannote[175].start 2429.11971875
transcript.pyannote[175].end 2429.17034375
transcript.pyannote[176].speaker SPEAKER_10
transcript.pyannote[176].start 2429.17034375
transcript.pyannote[176].end 2429.42346875
transcript.pyannote[177].speaker SPEAKER_13
transcript.pyannote[177].start 2429.42346875
transcript.pyannote[177].end 2429.54159375
transcript.pyannote[178].speaker SPEAKER_10
transcript.pyannote[178].start 2430.45284375
transcript.pyannote[178].end 2430.53721875
transcript.pyannote[179].speaker SPEAKER_15
transcript.pyannote[179].start 2430.53721875
transcript.pyannote[179].end 2430.67221875
transcript.pyannote[180].speaker SPEAKER_10
transcript.pyannote[180].start 2431.33034375
transcript.pyannote[180].end 2434.08096875
transcript.pyannote[181].speaker SPEAKER_10
transcript.pyannote[181].start 2434.24971875
transcript.pyannote[181].end 2442.28221875
transcript.pyannote[182].speaker SPEAKER_10
transcript.pyannote[182].start 2443.07534375
transcript.pyannote[182].end 2444.22284375
transcript.pyannote[183].speaker SPEAKER_10
transcript.pyannote[183].start 2449.53846875
transcript.pyannote[183].end 2449.96034375
transcript.pyannote[184].speaker SPEAKER_10
transcript.pyannote[184].start 2450.19659375
transcript.pyannote[184].end 2450.92221875
transcript.pyannote[185].speaker SPEAKER_10
transcript.pyannote[185].start 2451.14159375
transcript.pyannote[185].end 2452.45784375
transcript.pyannote[186].speaker SPEAKER_06
transcript.pyannote[186].start 2454.68534375
transcript.pyannote[186].end 2455.34346875
transcript.pyannote[187].speaker SPEAKER_10
transcript.pyannote[187].start 2455.68096875
transcript.pyannote[187].end 2456.03534375
transcript.pyannote[188].speaker SPEAKER_06
transcript.pyannote[188].start 2456.03534375
transcript.pyannote[188].end 2456.10284375
transcript.pyannote[189].speaker SPEAKER_06
transcript.pyannote[189].start 2456.13659375
transcript.pyannote[189].end 2457.72284375
transcript.pyannote[190].speaker SPEAKER_06
transcript.pyannote[190].start 2458.46534375
transcript.pyannote[190].end 2461.58721875
transcript.pyannote[191].speaker SPEAKER_06
transcript.pyannote[191].start 2461.99221875
transcript.pyannote[191].end 2465.14784375
transcript.pyannote[192].speaker SPEAKER_06
transcript.pyannote[192].start 2465.78909375
transcript.pyannote[192].end 2466.64971875
transcript.pyannote[193].speaker SPEAKER_06
transcript.pyannote[193].start 2467.44284375
transcript.pyannote[193].end 2472.03284375
transcript.pyannote[194].speaker SPEAKER_06
transcript.pyannote[194].start 2478.10784375
transcript.pyannote[194].end 2479.17096875
transcript.pyannote[195].speaker SPEAKER_06
transcript.pyannote[195].start 2480.03159375
transcript.pyannote[195].end 2488.19909375
transcript.pyannote[196].speaker SPEAKER_06
transcript.pyannote[196].start 2488.50284375
transcript.pyannote[196].end 2494.45971875
transcript.pyannote[197].speaker SPEAKER_06
transcript.pyannote[197].start 2495.01659375
transcript.pyannote[197].end 2495.80971875
transcript.pyannote[198].speaker SPEAKER_06
transcript.pyannote[198].start 2496.38346875
transcript.pyannote[198].end 2501.27721875
transcript.pyannote[199].speaker SPEAKER_06
transcript.pyannote[199].start 2503.18409375
transcript.pyannote[199].end 2506.67721875
transcript.pyannote[200].speaker SPEAKER_06
transcript.pyannote[200].start 2507.82471875
transcript.pyannote[200].end 2513.49471875
transcript.pyannote[201].speaker SPEAKER_06
transcript.pyannote[201].start 2514.13596875
transcript.pyannote[201].end 2515.23284375
transcript.pyannote[202].speaker SPEAKER_06
transcript.pyannote[202].start 2515.33409375
transcript.pyannote[202].end 2518.30409375
transcript.pyannote[203].speaker SPEAKER_06
transcript.pyannote[203].start 2519.38409375
transcript.pyannote[203].end 2520.51471875
transcript.pyannote[204].speaker SPEAKER_04
transcript.pyannote[204].start 2521.27409375
transcript.pyannote[204].end 2522.15159375
transcript.pyannote[205].speaker SPEAKER_04
transcript.pyannote[205].start 2522.47221875
transcript.pyannote[205].end 2522.74221875
transcript.pyannote[206].speaker SPEAKER_04
transcript.pyannote[206].start 2523.99096875
transcript.pyannote[206].end 2527.97346875
transcript.pyannote[207].speaker SPEAKER_13
transcript.pyannote[207].start 2529.32346875
transcript.pyannote[207].end 2529.79596875
transcript.pyannote[208].speaker SPEAKER_13
transcript.pyannote[208].start 2531.46659375
transcript.pyannote[208].end 2632.32846875
transcript.pyannote[209].speaker SPEAKER_06
transcript.pyannote[209].start 2633.23971875
transcript.pyannote[209].end 2638.67346875
transcript.pyannote[210].speaker SPEAKER_06
transcript.pyannote[210].start 2639.26409375
transcript.pyannote[210].end 2657.72534375
transcript.pyannote[211].speaker SPEAKER_06
transcript.pyannote[211].start 2658.33284375
transcript.pyannote[211].end 2685.28221875
transcript.pyannote[212].speaker SPEAKER_13
transcript.pyannote[212].start 2688.69096875
transcript.pyannote[212].end 2694.78284375
transcript.pyannote[213].speaker SPEAKER_13
transcript.pyannote[213].start 2697.83721875
transcript.pyannote[213].end 2701.43159375
transcript.pyannote[214].speaker SPEAKER_13
transcript.pyannote[214].start 2702.84909375
transcript.pyannote[214].end 2704.04721875
transcript.pyannote[215].speaker SPEAKER_10
transcript.pyannote[215].start 2705.04284375
transcript.pyannote[215].end 2711.94471875
transcript.pyannote[216].speaker SPEAKER_10
transcript.pyannote[216].start 2712.19784375
transcript.pyannote[216].end 2715.10034375
transcript.pyannote[217].speaker SPEAKER_07
transcript.pyannote[217].start 2714.39159375
transcript.pyannote[217].end 2719.38659375
transcript.pyannote[218].speaker SPEAKER_10
transcript.pyannote[218].start 2715.91034375
transcript.pyannote[218].end 2716.23096875
transcript.pyannote[219].speaker SPEAKER_07
transcript.pyannote[219].start 2719.65659375
transcript.pyannote[219].end 2724.93846875
transcript.pyannote[220].speaker SPEAKER_10
transcript.pyannote[220].start 2722.20471875
transcript.pyannote[220].end 2722.22159375
transcript.pyannote[221].speaker SPEAKER_16
transcript.pyannote[221].start 2722.22159375
transcript.pyannote[221].end 2722.28909375
transcript.pyannote[222].speaker SPEAKER_10
transcript.pyannote[222].start 2722.28909375
transcript.pyannote[222].end 2722.30596875
transcript.pyannote[223].speaker SPEAKER_07
transcript.pyannote[223].start 2725.19159375
transcript.pyannote[223].end 2729.54534375
transcript.pyannote[224].speaker SPEAKER_07
transcript.pyannote[224].start 2730.22034375
transcript.pyannote[224].end 2736.37971875
transcript.pyannote[225].speaker SPEAKER_10
transcript.pyannote[225].start 2736.41346875
transcript.pyannote[225].end 2737.22346875
transcript.pyannote[226].speaker SPEAKER_10
transcript.pyannote[226].start 2739.09659375
transcript.pyannote[226].end 2739.73784375
transcript.pyannote[227].speaker SPEAKER_07
transcript.pyannote[227].start 2739.68721875
transcript.pyannote[227].end 2746.06596875
transcript.pyannote[228].speaker SPEAKER_07
transcript.pyannote[228].start 2747.24721875
transcript.pyannote[228].end 2752.12409375
transcript.pyannote[229].speaker SPEAKER_10
transcript.pyannote[229].start 2755.29659375
transcript.pyannote[229].end 2755.63409375
transcript.pyannote[230].speaker SPEAKER_10
transcript.pyannote[230].start 2759.31284375
transcript.pyannote[230].end 2760.51096875
transcript.pyannote[231].speaker SPEAKER_10
transcript.pyannote[231].start 2761.32096875
transcript.pyannote[231].end 2763.64971875
transcript.pyannote[232].speaker SPEAKER_16
transcript.pyannote[232].start 2763.64971875
transcript.pyannote[232].end 2773.90971875
transcript.pyannote[233].speaker SPEAKER_10
transcript.pyannote[233].start 2773.33596875
transcript.pyannote[233].end 2778.58409375
transcript.pyannote[234].speaker SPEAKER_10
transcript.pyannote[234].start 2779.71471875
transcript.pyannote[234].end 2786.98784375
transcript.pyannote[235].speaker SPEAKER_10
transcript.pyannote[235].start 2787.47721875
transcript.pyannote[235].end 2789.38409375
transcript.pyannote[236].speaker SPEAKER_10
transcript.pyannote[236].start 2789.80596875
transcript.pyannote[236].end 2790.97034375
transcript.pyannote[237].speaker SPEAKER_10
transcript.pyannote[237].start 2791.74659375
transcript.pyannote[237].end 2793.14721875
transcript.pyannote[238].speaker SPEAKER_10
transcript.pyannote[238].start 2794.73346875
transcript.pyannote[238].end 2796.16784375
transcript.pyannote[239].speaker SPEAKER_13
transcript.pyannote[239].start 2799.77909375
transcript.pyannote[239].end 2801.12909375
transcript.pyannote[240].speaker SPEAKER_13
transcript.pyannote[240].start 2802.27659375
transcript.pyannote[240].end 2869.32096875
transcript.pyannote[241].speaker SPEAKER_13
transcript.pyannote[241].start 2870.28284375
transcript.pyannote[241].end 2929.46346875
transcript.pyannote[242].speaker SPEAKER_13
transcript.pyannote[242].start 2930.84721875
transcript.pyannote[242].end 2989.63971875
transcript.pyannote[243].speaker SPEAKER_13
transcript.pyannote[243].start 2992.39034375
transcript.pyannote[243].end 2992.76159375
transcript.pyannote[244].speaker SPEAKER_10
transcript.pyannote[244].start 2992.76159375
transcript.pyannote[244].end 2993.95971875
transcript.pyannote[245].speaker SPEAKER_10
transcript.pyannote[245].start 2996.05221875
transcript.pyannote[245].end 2997.03096875
transcript.pyannote[246].speaker SPEAKER_16
transcript.pyannote[246].start 2996.62596875
transcript.pyannote[246].end 3001.11471875
transcript.pyannote[247].speaker SPEAKER_10
transcript.pyannote[247].start 3001.87409375
transcript.pyannote[247].end 3002.04284375
transcript.pyannote[248].speaker SPEAKER_10
transcript.pyannote[248].start 3004.15221875
transcript.pyannote[248].end 3010.49721875
transcript.pyannote[249].speaker SPEAKER_10
transcript.pyannote[249].start 3011.29034375
transcript.pyannote[249].end 3020.47034375
transcript.pyannote[250].speaker SPEAKER_10
transcript.pyannote[250].start 3020.95971875
transcript.pyannote[250].end 3023.35596875
transcript.pyannote[251].speaker SPEAKER_10
transcript.pyannote[251].start 3024.38534375
transcript.pyannote[251].end 3026.39346875
transcript.pyannote[252].speaker SPEAKER_10
transcript.pyannote[252].start 3026.79846875
transcript.pyannote[252].end 3030.13971875
transcript.pyannote[253].speaker SPEAKER_10
transcript.pyannote[253].start 3030.32534375
transcript.pyannote[253].end 3030.79784375
transcript.pyannote[254].speaker SPEAKER_10
transcript.pyannote[254].start 3031.21971875
transcript.pyannote[254].end 3033.22784375
transcript.pyannote[255].speaker SPEAKER_10
transcript.pyannote[255].start 3035.69159375
transcript.pyannote[255].end 3037.59846875
transcript.pyannote[256].speaker SPEAKER_13
transcript.pyannote[256].start 3042.54284375
transcript.pyannote[256].end 3064.02471875
transcript.pyannote[257].speaker SPEAKER_13
transcript.pyannote[257].start 3064.32846875
transcript.pyannote[257].end 3237.78659375
transcript.pyannote[258].speaker SPEAKER_00
transcript.pyannote[258].start 3222.29534375
transcript.pyannote[258].end 3222.46409375
transcript.pyannote[259].speaker SPEAKER_00
transcript.pyannote[259].start 3237.78659375
transcript.pyannote[259].end 3238.17471875
transcript.pyannote[260].speaker SPEAKER_13
transcript.pyannote[260].start 3238.17471875
transcript.pyannote[260].end 3238.79909375
transcript.pyannote[261].speaker SPEAKER_10
transcript.pyannote[261].start 3238.79909375
transcript.pyannote[261].end 3238.81596875
transcript.pyannote[262].speaker SPEAKER_00
transcript.pyannote[262].start 3238.81596875
transcript.pyannote[262].end 3238.83284375
transcript.pyannote[263].speaker SPEAKER_00
transcript.pyannote[263].start 3238.93409375
transcript.pyannote[263].end 3243.40596875
transcript.pyannote[264].speaker SPEAKER_10
transcript.pyannote[264].start 3243.94596875
transcript.pyannote[264].end 3245.88659375
transcript.pyannote[265].speaker SPEAKER_10
transcript.pyannote[265].start 3248.51909375
transcript.pyannote[265].end 3249.19409375
transcript.pyannote[266].speaker SPEAKER_10
transcript.pyannote[266].start 3249.26159375
transcript.pyannote[266].end 3249.54846875
transcript.pyannote[267].speaker SPEAKER_10
transcript.pyannote[267].start 3251.06721875
transcript.pyannote[267].end 3252.14721875
transcript.pyannote[268].speaker SPEAKER_10
transcript.pyannote[268].start 3253.36221875
transcript.pyannote[268].end 3254.29034375
transcript.pyannote[269].speaker SPEAKER_10
transcript.pyannote[269].start 3255.04971875
transcript.pyannote[269].end 3255.38721875
transcript.pyannote[270].speaker SPEAKER_08
transcript.pyannote[270].start 3255.64034375
transcript.pyannote[270].end 3256.97346875
transcript.pyannote[271].speaker SPEAKER_08
transcript.pyannote[271].start 3257.09159375
transcript.pyannote[271].end 3257.42909375
transcript.pyannote[272].speaker SPEAKER_08
transcript.pyannote[272].start 3257.80034375
transcript.pyannote[272].end 3259.62284375
transcript.pyannote[273].speaker SPEAKER_08
transcript.pyannote[273].start 3260.88846875
transcript.pyannote[273].end 3265.52909375
transcript.pyannote[274].speaker SPEAKER_08
transcript.pyannote[274].start 3266.08596875
transcript.pyannote[274].end 3267.60471875
transcript.pyannote[275].speaker SPEAKER_13
transcript.pyannote[275].start 3268.85346875
transcript.pyannote[275].end 3302.31659375
transcript.pyannote[276].speaker SPEAKER_08
transcript.pyannote[276].start 3303.41346875
transcript.pyannote[276].end 3305.08409375
transcript.pyannote[277].speaker SPEAKER_08
transcript.pyannote[277].start 3305.35409375
transcript.pyannote[277].end 3309.10034375
transcript.pyannote[278].speaker SPEAKER_08
transcript.pyannote[278].start 3309.94409375
transcript.pyannote[278].end 3312.49221875
transcript.pyannote[279].speaker SPEAKER_13
transcript.pyannote[279].start 3312.93096875
transcript.pyannote[279].end 3313.25159375
transcript.pyannote[280].speaker SPEAKER_13
transcript.pyannote[280].start 3314.21346875
transcript.pyannote[280].end 3325.14846875
transcript.pyannote[281].speaker SPEAKER_08
transcript.pyannote[281].start 3317.62221875
transcript.pyannote[281].end 3318.09471875
transcript.pyannote[282].speaker SPEAKER_13
transcript.pyannote[282].start 3327.12284375
transcript.pyannote[282].end 3328.75971875
transcript.pyannote[283].speaker SPEAKER_00
transcript.pyannote[283].start 3327.32534375
transcript.pyannote[283].end 3327.37596875
transcript.pyannote[284].speaker SPEAKER_08
transcript.pyannote[284].start 3327.37596875
transcript.pyannote[284].end 3327.73034375
transcript.pyannote[285].speaker SPEAKER_00
transcript.pyannote[285].start 3327.73034375
transcript.pyannote[285].end 3328.23659375
transcript.pyannote[286].speaker SPEAKER_08
transcript.pyannote[286].start 3332.99534375
transcript.pyannote[286].end 3335.13846875
transcript.pyannote[287].speaker SPEAKER_08
transcript.pyannote[287].start 3336.08346875
transcript.pyannote[287].end 3337.31534375
transcript.pyannote[288].speaker SPEAKER_13
transcript.pyannote[288].start 3336.72471875
transcript.pyannote[288].end 3343.98096875
transcript.pyannote[289].speaker SPEAKER_08
transcript.pyannote[289].start 3344.68971875
transcript.pyannote[289].end 3347.10284375
transcript.pyannote[290].speaker SPEAKER_13
transcript.pyannote[290].start 3345.28034375
transcript.pyannote[290].end 3345.70221875
transcript.pyannote[291].speaker SPEAKER_08
transcript.pyannote[291].start 3347.81159375
transcript.pyannote[291].end 3348.36846875
transcript.pyannote[292].speaker SPEAKER_08
transcript.pyannote[292].start 3349.07721875
transcript.pyannote[292].end 3350.79846875
transcript.pyannote[293].speaker SPEAKER_08
transcript.pyannote[293].start 3351.25409375
transcript.pyannote[293].end 3351.52409375
transcript.pyannote[294].speaker SPEAKER_10
transcript.pyannote[294].start 3352.87409375
transcript.pyannote[294].end 3357.44721875
transcript.pyannote[295].speaker SPEAKER_10
transcript.pyannote[295].start 3357.88596875
transcript.pyannote[295].end 3358.20659375
transcript.pyannote[296].speaker SPEAKER_10
transcript.pyannote[296].start 3361.63221875
transcript.pyannote[296].end 3364.65284375
transcript.pyannote[297].speaker SPEAKER_10
transcript.pyannote[297].start 3364.97346875
transcript.pyannote[297].end 3366.55971875
transcript.pyannote[298].speaker SPEAKER_10
transcript.pyannote[298].start 3368.21346875
transcript.pyannote[298].end 3368.97284375
transcript.pyannote[299].speaker SPEAKER_10
transcript.pyannote[299].start 3369.25971875
transcript.pyannote[299].end 3369.64784375
transcript.pyannote[300].speaker SPEAKER_10
transcript.pyannote[300].start 3370.60971875
transcript.pyannote[300].end 3371.31846875
transcript.pyannote[301].speaker SPEAKER_10
transcript.pyannote[301].start 3372.97221875
transcript.pyannote[301].end 3373.37721875
transcript.pyannote[302].speaker SPEAKER_10
transcript.pyannote[302].start 3380.59971875
transcript.pyannote[302].end 3386.21909375
transcript.pyannote[303].speaker SPEAKER_10
transcript.pyannote[303].start 3386.91096875
transcript.pyannote[303].end 3389.88096875
transcript.pyannote[304].speaker SPEAKER_10
transcript.pyannote[304].start 3390.52221875
transcript.pyannote[304].end 3391.87221875
transcript.pyannote[305].speaker SPEAKER_13
transcript.pyannote[305].start 3391.87221875
transcript.pyannote[305].end 3400.78221875
transcript.pyannote[306].speaker SPEAKER_13
transcript.pyannote[306].start 3401.38971875
transcript.pyannote[306].end 3454.19159375
transcript.pyannote[307].speaker SPEAKER_13
transcript.pyannote[307].start 3455.69346875
transcript.pyannote[307].end 3461.83596875
transcript.pyannote[308].speaker SPEAKER_10
transcript.pyannote[308].start 3464.35034375
transcript.pyannote[308].end 3465.83534375
transcript.pyannote[309].speaker SPEAKER_10
transcript.pyannote[309].start 3466.47659375
transcript.pyannote[309].end 3468.63659375
transcript.pyannote[310].speaker SPEAKER_10
transcript.pyannote[310].start 3469.12596875
transcript.pyannote[310].end 3470.12159375
transcript.pyannote[311].speaker SPEAKER_10
transcript.pyannote[311].start 3470.94846875
transcript.pyannote[311].end 3471.48846875
transcript.pyannote[312].speaker SPEAKER_10
transcript.pyannote[312].start 3471.65721875
transcript.pyannote[312].end 3473.10846875
transcript.pyannote[313].speaker SPEAKER_10
transcript.pyannote[313].start 3474.57659375
transcript.pyannote[313].end 3481.27596875
transcript.pyannote[314].speaker SPEAKER_07
transcript.pyannote[314].start 3478.98096875
transcript.pyannote[314].end 3480.63471875
transcript.pyannote[315].speaker SPEAKER_07
transcript.pyannote[315].start 3480.97221875
transcript.pyannote[315].end 3496.91909375
transcript.pyannote[316].speaker SPEAKER_07
transcript.pyannote[316].start 3497.37471875
transcript.pyannote[316].end 3500.27721875
transcript.pyannote[317].speaker SPEAKER_07
transcript.pyannote[317].start 3500.68221875
transcript.pyannote[317].end 3501.89721875
transcript.pyannote[318].speaker SPEAKER_07
transcript.pyannote[318].start 3502.77471875
transcript.pyannote[318].end 3503.36534375
transcript.pyannote[319].speaker SPEAKER_07
transcript.pyannote[319].start 3503.63534375
transcript.pyannote[319].end 3506.36909375
transcript.pyannote[320].speaker SPEAKER_07
transcript.pyannote[320].start 3507.04409375
transcript.pyannote[320].end 3523.05846875
transcript.pyannote[321].speaker SPEAKER_07
transcript.pyannote[321].start 3523.54784375
transcript.pyannote[321].end 3531.68159375
transcript.pyannote[322].speaker SPEAKER_07
transcript.pyannote[322].start 3533.77409375
transcript.pyannote[322].end 3551.45909375
transcript.pyannote[323].speaker SPEAKER_07
transcript.pyannote[323].start 3551.96534375
transcript.pyannote[323].end 3554.80034375
transcript.pyannote[324].speaker SPEAKER_10
transcript.pyannote[324].start 3555.27284375
transcript.pyannote[324].end 3556.70721875
transcript.pyannote[325].speaker SPEAKER_00
transcript.pyannote[325].start 3558.24284375
transcript.pyannote[325].end 3559.39034375
transcript.pyannote[326].speaker SPEAKER_08
transcript.pyannote[326].start 3559.39034375
transcript.pyannote[326].end 3559.49159375
transcript.pyannote[327].speaker SPEAKER_08
transcript.pyannote[327].start 3561.09471875
transcript.pyannote[327].end 3563.77784375
transcript.pyannote[328].speaker SPEAKER_05
transcript.pyannote[328].start 3564.11534375
transcript.pyannote[328].end 3564.25034375
transcript.pyannote[329].speaker SPEAKER_05
transcript.pyannote[329].start 3565.22909375
transcript.pyannote[329].end 3568.03034375
transcript.pyannote[330].speaker SPEAKER_10
transcript.pyannote[330].start 3573.24471875
transcript.pyannote[330].end 3574.72971875
transcript.pyannote[331].speaker SPEAKER_10
transcript.pyannote[331].start 3575.01659375
transcript.pyannote[331].end 3575.65784375
transcript.pyannote[332].speaker SPEAKER_05
transcript.pyannote[332].start 3575.43846875
transcript.pyannote[332].end 3575.50596875
transcript.pyannote[333].speaker SPEAKER_00
transcript.pyannote[333].start 3575.50596875
transcript.pyannote[333].end 3575.62409375
transcript.pyannote[334].speaker SPEAKER_00
transcript.pyannote[334].start 3575.65784375
transcript.pyannote[334].end 3575.84346875
transcript.pyannote[335].speaker SPEAKER_08
transcript.pyannote[335].start 3580.63596875
transcript.pyannote[335].end 3590.03534375
transcript.pyannote[336].speaker SPEAKER_08
transcript.pyannote[336].start 3590.64284375
transcript.pyannote[336].end 3599.73846875
transcript.pyannote[337].speaker SPEAKER_05
transcript.pyannote[337].start 3594.70971875
transcript.pyannote[337].end 3594.76034375
transcript.pyannote[338].speaker SPEAKER_10
transcript.pyannote[338].start 3594.76034375
transcript.pyannote[338].end 3595.97534375
transcript.pyannote[339].speaker SPEAKER_05
transcript.pyannote[339].start 3595.97534375
transcript.pyannote[339].end 3597.40971875
transcript.pyannote[340].speaker SPEAKER_05
transcript.pyannote[340].start 3599.46846875
transcript.pyannote[340].end 3599.58659375
transcript.pyannote[341].speaker SPEAKER_05
transcript.pyannote[341].start 3599.73846875
transcript.pyannote[341].end 3599.95784375
transcript.pyannote[342].speaker SPEAKER_05
transcript.pyannote[342].start 3602.50596875
transcript.pyannote[342].end 3604.69971875
transcript.pyannote[343].speaker SPEAKER_05
transcript.pyannote[343].start 3605.50971875
transcript.pyannote[343].end 3605.56034375
transcript.pyannote[344].speaker SPEAKER_08
transcript.pyannote[344].start 3605.56034375
transcript.pyannote[344].end 3607.78784375
transcript.pyannote[345].speaker SPEAKER_05
transcript.pyannote[345].start 3605.59409375
transcript.pyannote[345].end 3607.66971875
transcript.pyannote[346].speaker SPEAKER_08
transcript.pyannote[346].start 3608.90159375
transcript.pyannote[346].end 3612.98534375
transcript.pyannote[347].speaker SPEAKER_08
transcript.pyannote[347].start 3614.40284375
transcript.pyannote[347].end 3620.37659375
transcript.pyannote[348].speaker SPEAKER_13
transcript.pyannote[348].start 3620.95034375
transcript.pyannote[348].end 3629.80971875
transcript.pyannote[349].speaker SPEAKER_08
transcript.pyannote[349].start 3622.04721875
transcript.pyannote[349].end 3623.41409375
transcript.pyannote[350].speaker SPEAKER_13
transcript.pyannote[350].start 3630.63659375
transcript.pyannote[350].end 3635.17596875
transcript.pyannote[351].speaker SPEAKER_08
transcript.pyannote[351].start 3632.74596875
transcript.pyannote[351].end 3636.69471875
transcript.pyannote[352].speaker SPEAKER_13
transcript.pyannote[352].start 3636.00284375
transcript.pyannote[352].end 3651.08909375
transcript.pyannote[353].speaker SPEAKER_08
transcript.pyannote[353].start 3644.52471875
transcript.pyannote[353].end 3644.94659375
transcript.pyannote[354].speaker SPEAKER_10
transcript.pyannote[354].start 3650.32971875
transcript.pyannote[354].end 3651.93284375
transcript.pyannote[355].speaker SPEAKER_13
transcript.pyannote[355].start 3651.93284375
transcript.pyannote[355].end 3652.11846875
transcript.pyannote[356].speaker SPEAKER_10
transcript.pyannote[356].start 3651.94971875
transcript.pyannote[356].end 3651.96659375
transcript.pyannote[357].speaker SPEAKER_08
transcript.pyannote[357].start 3651.96659375
transcript.pyannote[357].end 3654.05909375
transcript.pyannote[358].speaker SPEAKER_08
transcript.pyannote[358].start 3654.56534375
transcript.pyannote[358].end 3669.63471875
transcript.pyannote[359].speaker SPEAKER_08
transcript.pyannote[359].start 3670.61346875
transcript.pyannote[359].end 3672.68909375
transcript.pyannote[360].speaker SPEAKER_08
transcript.pyannote[360].start 3675.11909375
transcript.pyannote[360].end 3691.94346875
transcript.pyannote[361].speaker SPEAKER_08
transcript.pyannote[361].start 3692.58471875
transcript.pyannote[361].end 3703.94159375
transcript.pyannote[362].speaker SPEAKER_08
transcript.pyannote[362].start 3704.48159375
transcript.pyannote[362].end 3711.46784375
transcript.pyannote[363].speaker SPEAKER_05
transcript.pyannote[363].start 3707.72159375
transcript.pyannote[363].end 3707.85659375
transcript.pyannote[364].speaker SPEAKER_05
transcript.pyannote[364].start 3711.46784375
transcript.pyannote[364].end 3711.95721875
transcript.pyannote[365].speaker SPEAKER_05
transcript.pyannote[365].start 3712.27784375
transcript.pyannote[365].end 3713.79659375
transcript.pyannote[366].speaker SPEAKER_08
transcript.pyannote[366].start 3713.69534375
transcript.pyannote[366].end 3721.00221875
transcript.pyannote[367].speaker SPEAKER_10
transcript.pyannote[367].start 3719.93909375
transcript.pyannote[367].end 3724.07346875
transcript.pyannote[368].speaker SPEAKER_08
transcript.pyannote[368].start 3723.56721875
transcript.pyannote[368].end 3727.88721875
transcript.pyannote[369].speaker SPEAKER_10
transcript.pyannote[369].start 3724.52909375
transcript.pyannote[369].end 3724.63034375
transcript.pyannote[370].speaker SPEAKER_10
transcript.pyannote[370].start 3724.78221875
transcript.pyannote[370].end 3724.95096875
transcript.pyannote[371].speaker SPEAKER_08
transcript.pyannote[371].start 3728.19096875
transcript.pyannote[371].end 3732.67971875
transcript.pyannote[372].speaker SPEAKER_10
transcript.pyannote[372].start 3728.37659375
transcript.pyannote[372].end 3728.41034375
transcript.pyannote[373].speaker SPEAKER_07
transcript.pyannote[373].start 3728.41034375
transcript.pyannote[373].end 3728.68034375
transcript.pyannote[374].speaker SPEAKER_07
transcript.pyannote[374].start 3733.32096875
transcript.pyannote[374].end 3733.91159375
transcript.pyannote[375].speaker SPEAKER_07
transcript.pyannote[375].start 3734.46846875
transcript.pyannote[375].end 3740.40846875
transcript.pyannote[376].speaker SPEAKER_07
transcript.pyannote[376].start 3741.20159375
transcript.pyannote[376].end 3745.70721875
transcript.pyannote[377].speaker SPEAKER_08
transcript.pyannote[377].start 3742.02846875
transcript.pyannote[377].end 3742.26471875
transcript.pyannote[378].speaker SPEAKER_08
transcript.pyannote[378].start 3745.79159375
transcript.pyannote[378].end 3749.13284375
transcript.pyannote[379].speaker SPEAKER_08
transcript.pyannote[379].start 3749.40284375
transcript.pyannote[379].end 3750.87096875
transcript.pyannote[380].speaker SPEAKER_08
transcript.pyannote[380].start 3751.68096875
transcript.pyannote[380].end 3752.08596875
transcript.pyannote[381].speaker SPEAKER_08
transcript.pyannote[381].start 3753.94221875
transcript.pyannote[381].end 3758.16096875
transcript.pyannote[382].speaker SPEAKER_08
transcript.pyannote[382].start 3759.35909375
transcript.pyannote[382].end 3761.02971875
transcript.pyannote[383].speaker SPEAKER_08
transcript.pyannote[383].start 3761.48534375
transcript.pyannote[383].end 3762.19409375
transcript.pyannote[384].speaker SPEAKER_07
transcript.pyannote[384].start 3768.62346875
transcript.pyannote[384].end 3772.92659375
transcript.pyannote[385].speaker SPEAKER_07
transcript.pyannote[385].start 3773.75346875
transcript.pyannote[385].end 3778.63034375
transcript.pyannote[386].speaker SPEAKER_07
transcript.pyannote[386].start 3778.78221875
transcript.pyannote[386].end 3780.89159375
transcript.pyannote[387].speaker SPEAKER_08
transcript.pyannote[387].start 3779.69346875
transcript.pyannote[387].end 3781.24596875
transcript.pyannote[388].speaker SPEAKER_07
transcript.pyannote[388].start 3781.24596875
transcript.pyannote[388].end 3781.26284375
transcript.pyannote[389].speaker SPEAKER_07
transcript.pyannote[389].start 3782.12346875
transcript.pyannote[389].end 3783.55784375
transcript.pyannote[390].speaker SPEAKER_08
transcript.pyannote[390].start 3783.55784375
transcript.pyannote[390].end 3786.62909375
transcript.pyannote[391].speaker SPEAKER_07
transcript.pyannote[391].start 3786.25784375
transcript.pyannote[391].end 3786.83159375
transcript.pyannote[392].speaker SPEAKER_08
transcript.pyannote[392].start 3786.83159375
transcript.pyannote[392].end 3786.88221875
transcript.pyannote[393].speaker SPEAKER_07
transcript.pyannote[393].start 3786.88221875
transcript.pyannote[393].end 3786.91596875
transcript.pyannote[394].speaker SPEAKER_08
transcript.pyannote[394].start 3786.91596875
transcript.pyannote[394].end 3786.94971875
transcript.pyannote[395].speaker SPEAKER_07
transcript.pyannote[395].start 3786.94971875
transcript.pyannote[395].end 3786.96659375
transcript.pyannote[396].speaker SPEAKER_08
transcript.pyannote[396].start 3786.96659375
transcript.pyannote[396].end 3787.15221875
transcript.pyannote[397].speaker SPEAKER_07
transcript.pyannote[397].start 3787.15221875
transcript.pyannote[397].end 3787.33784375
transcript.pyannote[398].speaker SPEAKER_08
transcript.pyannote[398].start 3787.33784375
transcript.pyannote[398].end 3787.47284375
transcript.pyannote[399].speaker SPEAKER_07
transcript.pyannote[399].start 3787.47284375
transcript.pyannote[399].end 3787.60784375
transcript.pyannote[400].speaker SPEAKER_08
transcript.pyannote[400].start 3787.60784375
transcript.pyannote[400].end 3787.65846875
transcript.pyannote[401].speaker SPEAKER_08
transcript.pyannote[401].start 3788.36721875
transcript.pyannote[401].end 3791.06721875
transcript.pyannote[402].speaker SPEAKER_07
transcript.pyannote[402].start 3791.35409375
transcript.pyannote[402].end 3812.85284375
transcript.pyannote[403].speaker SPEAKER_08
transcript.pyannote[403].start 3811.57034375
transcript.pyannote[403].end 3816.83534375
transcript.pyannote[404].speaker SPEAKER_07
transcript.pyannote[404].start 3817.32471875
transcript.pyannote[404].end 3817.34159375
transcript.pyannote[405].speaker SPEAKER_08
transcript.pyannote[405].start 3817.34159375
transcript.pyannote[405].end 3826.06596875
transcript.pyannote[406].speaker SPEAKER_08
transcript.pyannote[406].start 3826.58909375
transcript.pyannote[406].end 3832.15784375
transcript.pyannote[407].speaker SPEAKER_08
transcript.pyannote[407].start 3832.61346875
transcript.pyannote[407].end 3834.01409375
transcript.pyannote[408].speaker SPEAKER_08
transcript.pyannote[408].start 3834.72284375
transcript.pyannote[408].end 3836.02221875
transcript.pyannote[409].speaker SPEAKER_10
transcript.pyannote[409].start 3838.48596875
transcript.pyannote[409].end 3839.92034375
transcript.pyannote[410].speaker SPEAKER_08
transcript.pyannote[410].start 3840.40971875
transcript.pyannote[410].end 3841.00034375
transcript.pyannote[411].speaker SPEAKER_07
transcript.pyannote[411].start 3841.00034375
transcript.pyannote[411].end 3841.01721875
transcript.pyannote[412].speaker SPEAKER_08
transcript.pyannote[412].start 3841.01721875
transcript.pyannote[412].end 3842.97471875
transcript.pyannote[413].speaker SPEAKER_07
transcript.pyannote[413].start 3841.06784375
transcript.pyannote[413].end 3842.21534375
transcript.pyannote[414].speaker SPEAKER_08
transcript.pyannote[414].start 3843.43034375
transcript.pyannote[414].end 3844.47659375
transcript.pyannote[415].speaker SPEAKER_08
transcript.pyannote[415].start 3845.15159375
transcript.pyannote[415].end 3857.25096875
transcript.pyannote[416].speaker SPEAKER_04
transcript.pyannote[416].start 3859.14096875
transcript.pyannote[416].end 3859.27596875
transcript.pyannote[417].speaker SPEAKER_04
transcript.pyannote[417].start 3859.49534375
transcript.pyannote[417].end 3860.15346875
transcript.pyannote[418].speaker SPEAKER_04
transcript.pyannote[418].start 3860.65971875
transcript.pyannote[418].end 3862.56659375
transcript.pyannote[419].speaker SPEAKER_13
transcript.pyannote[419].start 3863.19096875
transcript.pyannote[419].end 3864.74346875
transcript.pyannote[420].speaker SPEAKER_13
transcript.pyannote[420].start 3865.45221875
transcript.pyannote[420].end 3879.79596875
transcript.pyannote[421].speaker SPEAKER_04
transcript.pyannote[421].start 3867.44346875
transcript.pyannote[421].end 3867.46034375
transcript.pyannote[422].speaker SPEAKER_08
transcript.pyannote[422].start 3867.46034375
transcript.pyannote[422].end 3868.35471875
transcript.pyannote[423].speaker SPEAKER_08
transcript.pyannote[423].start 3869.60346875
transcript.pyannote[423].end 3870.85221875
transcript.pyannote[424].speaker SPEAKER_08
transcript.pyannote[424].start 3871.66221875
transcript.pyannote[424].end 3873.92346875
transcript.pyannote[425].speaker SPEAKER_08
transcript.pyannote[425].start 3874.61534375
transcript.pyannote[425].end 3875.20596875
transcript.pyannote[426].speaker SPEAKER_13
transcript.pyannote[426].start 3880.04909375
transcript.pyannote[426].end 3890.88284375
transcript.pyannote[427].speaker SPEAKER_08
transcript.pyannote[427].start 3891.86159375
transcript.pyannote[427].end 3895.01721875
transcript.pyannote[428].speaker SPEAKER_08
transcript.pyannote[428].start 3896.01284375
transcript.pyannote[428].end 3896.04659375
transcript.pyannote[429].speaker SPEAKER_06
transcript.pyannote[429].start 3896.04659375
transcript.pyannote[429].end 3896.51909375
transcript.pyannote[430].speaker SPEAKER_06
transcript.pyannote[430].start 3898.47659375
transcript.pyannote[430].end 3903.85971875
transcript.pyannote[431].speaker SPEAKER_06
transcript.pyannote[431].start 3905.02409375
transcript.pyannote[431].end 3905.15909375
transcript.pyannote[432].speaker SPEAKER_08
transcript.pyannote[432].start 3905.15909375
transcript.pyannote[432].end 3909.37784375
transcript.pyannote[433].speaker SPEAKER_08
transcript.pyannote[433].start 3909.52971875
transcript.pyannote[433].end 3916.02659375
transcript.pyannote[434].speaker SPEAKER_06
transcript.pyannote[434].start 3916.02659375
transcript.pyannote[434].end 3916.61721875
transcript.pyannote[435].speaker SPEAKER_08
transcript.pyannote[435].start 3916.61721875
transcript.pyannote[435].end 3916.63409375
transcript.pyannote[436].speaker SPEAKER_06
transcript.pyannote[436].start 3916.63409375
transcript.pyannote[436].end 3916.65096875
transcript.pyannote[437].speaker SPEAKER_06
transcript.pyannote[437].start 3919.06409375
transcript.pyannote[437].end 3920.21159375
transcript.pyannote[438].speaker SPEAKER_06
transcript.pyannote[438].start 3920.71784375
transcript.pyannote[438].end 3928.76721875
transcript.pyannote[439].speaker SPEAKER_06
transcript.pyannote[439].start 3929.07096875
transcript.pyannote[439].end 3934.25159375
transcript.pyannote[440].speaker SPEAKER_13
transcript.pyannote[440].start 3935.61846875
transcript.pyannote[440].end 3940.19159375
transcript.pyannote[441].speaker SPEAKER_13
transcript.pyannote[441].start 3940.61346875
transcript.pyannote[441].end 4022.57534375
transcript.pyannote[442].speaker SPEAKER_07
transcript.pyannote[442].start 4023.63846875
transcript.pyannote[442].end 4035.78846875
transcript.pyannote[443].speaker SPEAKER_13
transcript.pyannote[443].start 4026.74346875
transcript.pyannote[443].end 4027.01346875
transcript.pyannote[444].speaker SPEAKER_07
transcript.pyannote[444].start 4036.34534375
transcript.pyannote[444].end 4041.37409375
transcript.pyannote[445].speaker SPEAKER_07
transcript.pyannote[445].start 4041.45846875
transcript.pyannote[445].end 4047.60096875
transcript.pyannote[446].speaker SPEAKER_10
transcript.pyannote[446].start 4048.15784375
transcript.pyannote[446].end 4048.78221875
transcript.pyannote[447].speaker SPEAKER_07
transcript.pyannote[447].start 4048.96784375
transcript.pyannote[447].end 4049.03534375
transcript.pyannote[448].speaker SPEAKER_14
transcript.pyannote[448].start 4049.03534375
transcript.pyannote[448].end 4049.52471875
transcript.pyannote[449].speaker SPEAKER_14
transcript.pyannote[449].start 4049.69346875
transcript.pyannote[449].end 4056.86534375
transcript.pyannote[450].speaker SPEAKER_14
transcript.pyannote[450].start 4057.43909375
transcript.pyannote[450].end 4076.03534375
transcript.pyannote[451].speaker SPEAKER_14
transcript.pyannote[451].start 4076.69346875
transcript.pyannote[451].end 4078.36409375
transcript.pyannote[452].speaker SPEAKER_14
transcript.pyannote[452].start 4079.81534375
transcript.pyannote[452].end 4082.46471875
transcript.pyannote[453].speaker SPEAKER_14
transcript.pyannote[453].start 4083.00471875
transcript.pyannote[453].end 4088.10096875
transcript.pyannote[454].speaker SPEAKER_14
transcript.pyannote[454].start 4089.13034375
transcript.pyannote[454].end 4102.78221875
transcript.pyannote[455].speaker SPEAKER_14
transcript.pyannote[455].start 4102.90034375
transcript.pyannote[455].end 4146.74159375
transcript.pyannote[456].speaker SPEAKER_14
transcript.pyannote[456].start 4147.70346875
transcript.pyannote[456].end 4148.96909375
transcript.pyannote[457].speaker SPEAKER_10
transcript.pyannote[457].start 4150.60596875
transcript.pyannote[457].end 4151.60159375
transcript.pyannote[458].speaker SPEAKER_08
transcript.pyannote[458].start 4153.01909375
transcript.pyannote[458].end 4170.06284375
transcript.pyannote[459].speaker SPEAKER_08
transcript.pyannote[459].start 4170.13034375
transcript.pyannote[459].end 4176.30659375
transcript.pyannote[460].speaker SPEAKER_08
transcript.pyannote[460].start 4176.37409375
transcript.pyannote[460].end 4177.57221875
transcript.pyannote[461].speaker SPEAKER_08
transcript.pyannote[461].start 4178.61846875
transcript.pyannote[461].end 4187.27534375
transcript.pyannote[462].speaker SPEAKER_08
transcript.pyannote[462].start 4188.15284375
transcript.pyannote[462].end 4194.97034375
transcript.pyannote[463].speaker SPEAKER_08
transcript.pyannote[463].start 4195.49346875
transcript.pyannote[463].end 4199.59409375
transcript.pyannote[464].speaker SPEAKER_08
transcript.pyannote[464].start 4200.42096875
transcript.pyannote[464].end 4201.75409375
transcript.pyannote[465].speaker SPEAKER_08
transcript.pyannote[465].start 4202.31096875
transcript.pyannote[465].end 4203.35721875
transcript.pyannote[466].speaker SPEAKER_08
transcript.pyannote[466].start 4203.62721875
transcript.pyannote[466].end 4204.52159375
transcript.pyannote[467].speaker SPEAKER_08
transcript.pyannote[467].start 4204.92659375
transcript.pyannote[467].end 4206.05721875
transcript.pyannote[468].speaker SPEAKER_08
transcript.pyannote[468].start 4206.37784375
transcript.pyannote[468].end 4209.43221875
transcript.pyannote[469].speaker SPEAKER_08
transcript.pyannote[469].start 4210.07346875
transcript.pyannote[469].end 4213.02659375
transcript.pyannote[470].speaker SPEAKER_08
transcript.pyannote[470].start 4213.58346875
transcript.pyannote[470].end 4213.93784375
transcript.pyannote[471].speaker SPEAKER_08
transcript.pyannote[471].start 4214.49471875
transcript.pyannote[471].end 4230.52596875
transcript.pyannote[472].speaker SPEAKER_08
transcript.pyannote[472].start 4232.43284375
transcript.pyannote[472].end 4237.09034375
transcript.pyannote[473].speaker SPEAKER_08
transcript.pyannote[473].start 4237.78221875
transcript.pyannote[473].end 4238.99721875
transcript.pyannote[474].speaker SPEAKER_08
transcript.pyannote[474].start 4239.38534375
transcript.pyannote[474].end 4241.39346875
transcript.pyannote[475].speaker SPEAKER_08
transcript.pyannote[475].start 4241.64659375
transcript.pyannote[475].end 4241.78159375
transcript.pyannote[476].speaker SPEAKER_08
transcript.pyannote[476].start 4243.16534375
transcript.pyannote[476].end 4246.82721875
transcript.pyannote[477].speaker SPEAKER_08
transcript.pyannote[477].start 4247.89034375
transcript.pyannote[477].end 4251.14721875
transcript.pyannote[478].speaker SPEAKER_14
transcript.pyannote[478].start 4253.52659375
transcript.pyannote[478].end 4257.61034375
transcript.pyannote[479].speaker SPEAKER_08
transcript.pyannote[479].start 4257.35721875
transcript.pyannote[479].end 4265.20409375
transcript.pyannote[480].speaker SPEAKER_08
transcript.pyannote[480].start 4271.80221875
transcript.pyannote[480].end 4272.71346875
transcript.pyannote[481].speaker SPEAKER_08
transcript.pyannote[481].start 4273.25346875
transcript.pyannote[481].end 4275.90284375
transcript.pyannote[482].speaker SPEAKER_08
transcript.pyannote[482].start 4276.47659375
transcript.pyannote[482].end 4284.35721875
transcript.pyannote[483].speaker SPEAKER_08
transcript.pyannote[483].start 4287.39471875
transcript.pyannote[483].end 4289.58846875
transcript.pyannote[484].speaker SPEAKER_08
transcript.pyannote[484].start 4293.19971875
transcript.pyannote[484].end 4295.68034375
transcript.pyannote[485].speaker SPEAKER_08
transcript.pyannote[485].start 4299.57846875
transcript.pyannote[485].end 4300.03409375
transcript.pyannote[486].speaker SPEAKER_08
transcript.pyannote[486].start 4300.16909375
transcript.pyannote[486].end 4303.49346875
transcript.pyannote[487].speaker SPEAKER_08
transcript.pyannote[487].start 4304.43846875
transcript.pyannote[487].end 4305.02909375
transcript.pyannote[488].speaker SPEAKER_08
transcript.pyannote[488].start 4305.90659375
transcript.pyannote[488].end 4307.00346875
transcript.pyannote[489].speaker SPEAKER_07
transcript.pyannote[489].start 4307.00346875
transcript.pyannote[489].end 4307.03721875
transcript.pyannote[490].speaker SPEAKER_07
transcript.pyannote[490].start 4310.20971875
transcript.pyannote[490].end 4317.53346875
transcript.pyannote[491].speaker SPEAKER_08
transcript.pyannote[491].start 4314.49596875
transcript.pyannote[491].end 4314.93471875
transcript.pyannote[492].speaker SPEAKER_07
transcript.pyannote[492].start 4317.95534375
transcript.pyannote[492].end 4321.02659375
transcript.pyannote[493].speaker SPEAKER_14
transcript.pyannote[493].start 4319.32221875
transcript.pyannote[493].end 4320.28409375
transcript.pyannote[494].speaker SPEAKER_14
transcript.pyannote[494].start 4321.02659375
transcript.pyannote[494].end 4333.80096875
transcript.pyannote[495].speaker SPEAKER_14
transcript.pyannote[495].start 4334.00346875
transcript.pyannote[495].end 4352.26221875
transcript.pyannote[496].speaker SPEAKER_14
transcript.pyannote[496].start 4352.49846875
transcript.pyannote[496].end 4353.39284375
transcript.pyannote[497].speaker SPEAKER_08
transcript.pyannote[497].start 4352.68409375
transcript.pyannote[497].end 4358.74221875
transcript.pyannote[498].speaker SPEAKER_14
transcript.pyannote[498].start 4357.34159375
transcript.pyannote[498].end 4364.20971875
transcript.pyannote[499].speaker SPEAKER_05
transcript.pyannote[499].start 4364.20971875
transcript.pyannote[499].end 4364.63159375
transcript.pyannote[500].speaker SPEAKER_14
transcript.pyannote[500].start 4365.52596875
transcript.pyannote[500].end 4368.41159375
transcript.pyannote[501].speaker SPEAKER_14
transcript.pyannote[501].start 4368.85034375
transcript.pyannote[501].end 4370.99346875
transcript.pyannote[502].speaker SPEAKER_14
transcript.pyannote[502].start 4372.14096875
transcript.pyannote[502].end 4373.74409375
transcript.pyannote[503].speaker SPEAKER_14
transcript.pyannote[503].start 4374.11534375
transcript.pyannote[503].end 4375.43159375
transcript.pyannote[504].speaker SPEAKER_08
transcript.pyannote[504].start 4375.14471875
transcript.pyannote[504].end 4376.62971875
transcript.pyannote[505].speaker SPEAKER_14
transcript.pyannote[505].start 4376.71409375
transcript.pyannote[505].end 4379.85284375
transcript.pyannote[506].speaker SPEAKER_08
transcript.pyannote[506].start 4378.46909375
transcript.pyannote[506].end 4382.33346875
transcript.pyannote[507].speaker SPEAKER_08
transcript.pyannote[507].start 4385.52284375
transcript.pyannote[507].end 4387.19346875
transcript.pyannote[508].speaker SPEAKER_07
transcript.pyannote[508].start 4388.37471875
transcript.pyannote[508].end 4390.97346875
transcript.pyannote[509].speaker SPEAKER_08
transcript.pyannote[509].start 4390.38284375
transcript.pyannote[509].end 4392.76221875
transcript.pyannote[510].speaker SPEAKER_07
transcript.pyannote[510].start 4392.30659375
transcript.pyannote[510].end 4394.21346875
transcript.pyannote[511].speaker SPEAKER_08
transcript.pyannote[511].start 4394.48346875
transcript.pyannote[511].end 4394.68596875
transcript.pyannote[512].speaker SPEAKER_07
transcript.pyannote[512].start 4394.93909375
transcript.pyannote[512].end 4403.22471875
transcript.pyannote[513].speaker SPEAKER_07
transcript.pyannote[513].start 4403.35971875
transcript.pyannote[513].end 4405.14846875
transcript.pyannote[514].speaker SPEAKER_08
transcript.pyannote[514].start 4404.64221875
transcript.pyannote[514].end 4405.26659375
transcript.pyannote[515].speaker SPEAKER_07
transcript.pyannote[515].start 4405.26659375
transcript.pyannote[515].end 4405.28346875
transcript.pyannote[516].speaker SPEAKER_08
transcript.pyannote[516].start 4405.28346875
transcript.pyannote[516].end 4405.78971875
transcript.pyannote[517].speaker SPEAKER_07
transcript.pyannote[517].start 4405.78971875
transcript.pyannote[517].end 4405.90784375
transcript.pyannote[518].speaker SPEAKER_08
transcript.pyannote[518].start 4405.90784375
transcript.pyannote[518].end 4430.74784375
transcript.pyannote[519].speaker SPEAKER_08
transcript.pyannote[519].start 4431.20346875
transcript.pyannote[519].end 4433.86971875
transcript.pyannote[520].speaker SPEAKER_07
transcript.pyannote[520].start 4432.85721875
transcript.pyannote[520].end 4436.29971875
transcript.pyannote[521].speaker SPEAKER_07
transcript.pyannote[521].start 4436.72159375
transcript.pyannote[521].end 4437.26159375
transcript.pyannote[522].speaker SPEAKER_07
transcript.pyannote[522].start 4438.10534375
transcript.pyannote[522].end 4445.93534375
transcript.pyannote[523].speaker SPEAKER_14
transcript.pyannote[523].start 4442.44221875
transcript.pyannote[523].end 4442.99909375
transcript.pyannote[524].speaker SPEAKER_07
transcript.pyannote[524].start 4446.27284375
transcript.pyannote[524].end 4451.06534375
transcript.pyannote[525].speaker SPEAKER_07
transcript.pyannote[525].start 4452.93846875
transcript.pyannote[525].end 4453.93409375
transcript.pyannote[526].speaker SPEAKER_08
transcript.pyannote[526].start 4453.93409375
transcript.pyannote[526].end 4453.96784375
transcript.pyannote[527].speaker SPEAKER_08
transcript.pyannote[527].start 4455.11534375
transcript.pyannote[527].end 4456.04346875
transcript.pyannote[528].speaker SPEAKER_10
transcript.pyannote[528].start 4457.41034375
transcript.pyannote[528].end 4457.66346875
transcript.pyannote[529].speaker SPEAKER_10
transcript.pyannote[529].start 4457.86596875
transcript.pyannote[529].end 4458.33846875
transcript.pyannote[530].speaker SPEAKER_10
transcript.pyannote[530].start 4458.64221875
transcript.pyannote[530].end 4460.31284375
transcript.pyannote[531].speaker SPEAKER_10
transcript.pyannote[531].start 4460.54909375
transcript.pyannote[531].end 4461.91596875
transcript.pyannote[532].speaker SPEAKER_10
transcript.pyannote[532].start 4462.37159375
transcript.pyannote[532].end 4464.16034375
transcript.pyannote[533].speaker SPEAKER_10
transcript.pyannote[533].start 4464.64971875
transcript.pyannote[533].end 4465.25721875
transcript.pyannote[534].speaker SPEAKER_10
transcript.pyannote[534].start 4469.88096875
transcript.pyannote[534].end 4470.70784375
transcript.pyannote[535].speaker SPEAKER_10
transcript.pyannote[535].start 4472.12534375
transcript.pyannote[535].end 4472.24346875
transcript.pyannote[536].speaker SPEAKER_10
transcript.pyannote[536].start 4472.29409375
transcript.pyannote[536].end 4473.15471875
transcript.pyannote[537].speaker SPEAKER_10
transcript.pyannote[537].start 4473.61034375
transcript.pyannote[537].end 4474.20096875
transcript.pyannote[538].speaker SPEAKER_10
transcript.pyannote[538].start 4474.57221875
transcript.pyannote[538].end 4476.81659375
transcript.pyannote[539].speaker SPEAKER_05
transcript.pyannote[539].start 4477.54221875
transcript.pyannote[539].end 4477.71096875
transcript.pyannote[540].speaker SPEAKER_08
transcript.pyannote[540].start 4478.08221875
transcript.pyannote[540].end 4478.20034375
transcript.pyannote[541].speaker SPEAKER_08
transcript.pyannote[541].start 4480.74846875
transcript.pyannote[541].end 4481.03534375
transcript.pyannote[542].speaker SPEAKER_08
transcript.pyannote[542].start 4481.05221875
transcript.pyannote[542].end 4481.08596875
transcript.pyannote[543].speaker SPEAKER_08
transcript.pyannote[543].start 4481.18721875
transcript.pyannote[543].end 4481.25471875
transcript.pyannote[544].speaker SPEAKER_10
transcript.pyannote[544].start 4481.89596875
transcript.pyannote[544].end 4482.11534375
transcript.pyannote[545].speaker SPEAKER_10
transcript.pyannote[545].start 4482.19971875
transcript.pyannote[545].end 4482.21659375
transcript.pyannote[546].speaker SPEAKER_08
transcript.pyannote[546].start 4482.25034375
transcript.pyannote[546].end 4482.57096875
transcript.pyannote[547].speaker SPEAKER_08
transcript.pyannote[547].start 4485.62534375
transcript.pyannote[547].end 4486.35096875
transcript.pyannote[548].speaker SPEAKER_00
transcript.pyannote[548].start 4486.35096875
transcript.pyannote[548].end 4486.62096875
transcript.pyannote[549].speaker SPEAKER_00
transcript.pyannote[549].start 4486.97534375
transcript.pyannote[549].end 4487.02596875
transcript.pyannote[550].speaker SPEAKER_00
transcript.pyannote[550].start 4487.97096875
transcript.pyannote[550].end 4488.03846875
transcript.pyannote[551].speaker SPEAKER_00
transcript.pyannote[551].start 4488.96659375
transcript.pyannote[551].end 4489.03409375
transcript.pyannote[552].speaker SPEAKER_05
transcript.pyannote[552].start 4492.96596875
transcript.pyannote[552].end 4493.67471875
transcript.pyannote[553].speaker SPEAKER_04
transcript.pyannote[553].start 4518.73409375
transcript.pyannote[553].end 4519.03784375
transcript.pyannote[554].speaker SPEAKER_04
transcript.pyannote[554].start 4519.78034375
transcript.pyannote[554].end 4520.40471875
transcript.pyannote[555].speaker SPEAKER_09
transcript.pyannote[555].start 4528.13346875
transcript.pyannote[555].end 4529.06159375
transcript.pyannote[556].speaker SPEAKER_09
transcript.pyannote[556].start 4531.66034375
transcript.pyannote[556].end 4532.40284375
transcript.pyannote[557].speaker SPEAKER_04
transcript.pyannote[557].start 4532.40284375
transcript.pyannote[557].end 4532.52096875
transcript.pyannote[558].speaker SPEAKER_04
transcript.pyannote[558].start 4534.93409375
transcript.pyannote[558].end 4536.16596875
transcript.pyannote[559].speaker SPEAKER_04
transcript.pyannote[559].start 4538.19096875
transcript.pyannote[559].end 4541.04284375
transcript.pyannote[560].speaker SPEAKER_04
transcript.pyannote[560].start 4541.21159375
transcript.pyannote[560].end 4542.89909375
transcript.pyannote[561].speaker SPEAKER_04
transcript.pyannote[561].start 4543.45596875
transcript.pyannote[561].end 4544.08034375
transcript.pyannote[562].speaker SPEAKER_04
transcript.pyannote[562].start 4545.98721875
transcript.pyannote[562].end 4550.67846875
transcript.pyannote[563].speaker SPEAKER_04
transcript.pyannote[563].start 4618.29659375
transcript.pyannote[563].end 4619.46096875
transcript.pyannote[564].speaker SPEAKER_05
transcript.pyannote[564].start 4638.27659375
transcript.pyannote[564].end 4638.32721875
transcript.pyannote[565].speaker SPEAKER_04
transcript.pyannote[565].start 4638.32721875
transcript.pyannote[565].end 4639.47471875
transcript.pyannote[566].speaker SPEAKER_05
transcript.pyannote[566].start 4639.47471875
transcript.pyannote[566].end 4639.76159375
transcript.pyannote[567].speaker SPEAKER_04
transcript.pyannote[567].start 4640.25096875
transcript.pyannote[567].end 4641.26346875
transcript.pyannote[568].speaker SPEAKER_04
transcript.pyannote[568].start 4643.50784375
transcript.pyannote[568].end 4646.41034375
transcript.pyannote[569].speaker SPEAKER_03
transcript.pyannote[569].start 4646.41034375
transcript.pyannote[569].end 4646.42721875
transcript.pyannote[570].speaker SPEAKER_04
transcript.pyannote[570].start 4646.42721875
transcript.pyannote[570].end 4646.96721875
transcript.pyannote[571].speaker SPEAKER_03
transcript.pyannote[571].start 4646.96721875
transcript.pyannote[571].end 4647.08534375
transcript.pyannote[572].speaker SPEAKER_04
transcript.pyannote[572].start 4647.08534375
transcript.pyannote[572].end 4647.33846875
transcript.pyannote[573].speaker SPEAKER_03
transcript.pyannote[573].start 4647.33846875
transcript.pyannote[573].end 4647.96284375
transcript.pyannote[574].speaker SPEAKER_04
transcript.pyannote[574].start 4647.96284375
transcript.pyannote[574].end 4648.04721875
transcript.pyannote[575].speaker SPEAKER_04
transcript.pyannote[575].start 4648.97534375
transcript.pyannote[575].end 4649.80221875
transcript.pyannote[576].speaker SPEAKER_04
transcript.pyannote[576].start 4650.24096875
transcript.pyannote[576].end 4650.93284375
transcript.pyannote[577].speaker SPEAKER_04
transcript.pyannote[577].start 4652.13096875
transcript.pyannote[577].end 4653.32909375
transcript.pyannote[578].speaker SPEAKER_05
transcript.pyannote[578].start 4652.23221875
transcript.pyannote[578].end 4652.41784375
transcript.pyannote[579].speaker SPEAKER_11
transcript.pyannote[579].start 4652.41784375
transcript.pyannote[579].end 4652.97471875
transcript.pyannote[580].speaker SPEAKER_05
transcript.pyannote[580].start 4652.97471875
transcript.pyannote[580].end 4653.31221875
transcript.pyannote[581].speaker SPEAKER_11
transcript.pyannote[581].start 4653.31221875
transcript.pyannote[581].end 4653.34596875
transcript.pyannote[582].speaker SPEAKER_05
transcript.pyannote[582].start 4653.32909375
transcript.pyannote[582].end 4653.34596875
transcript.pyannote[583].speaker SPEAKER_04
transcript.pyannote[583].start 4653.34596875
transcript.pyannote[583].end 4653.39659375
transcript.pyannote[584].speaker SPEAKER_04
transcript.pyannote[584].start 4655.74221875
transcript.pyannote[584].end 4656.41721875
transcript.pyannote[585].speaker SPEAKER_04
transcript.pyannote[585].start 4657.80096875
transcript.pyannote[585].end 4661.95221875
transcript.pyannote[586].speaker SPEAKER_04
transcript.pyannote[586].start 4661.96909375
transcript.pyannote[586].end 4669.02284375
transcript.pyannote[587].speaker SPEAKER_03
transcript.pyannote[587].start 4691.33159375
transcript.pyannote[587].end 4691.36534375
transcript.pyannote[588].speaker SPEAKER_03
transcript.pyannote[588].start 4692.14159375
transcript.pyannote[588].end 4692.66471875
transcript.pyannote[589].speaker SPEAKER_03
transcript.pyannote[589].start 4692.95159375
transcript.pyannote[589].end 4693.05284375
transcript.pyannote[590].speaker SPEAKER_03
transcript.pyannote[590].start 4695.75284375
transcript.pyannote[590].end 4695.87096875
transcript.pyannote[591].speaker SPEAKER_05
transcript.pyannote[591].start 4695.87096875
transcript.pyannote[591].end 4697.00159375
transcript.pyannote[592].speaker SPEAKER_03
transcript.pyannote[592].start 4695.97221875
transcript.pyannote[592].end 4697.82846875
transcript.pyannote[593].speaker SPEAKER_04
transcript.pyannote[593].start 4697.00159375
transcript.pyannote[593].end 4697.03534375
transcript.pyannote[594].speaker SPEAKER_05
transcript.pyannote[594].start 4697.03534375
transcript.pyannote[594].end 4697.62596875
transcript.pyannote[595].speaker SPEAKER_05
transcript.pyannote[595].start 4697.82846875
transcript.pyannote[595].end 4698.79034375
transcript.pyannote[596].speaker SPEAKER_03
transcript.pyannote[596].start 4699.12784375
transcript.pyannote[596].end 4703.02596875
transcript.pyannote[597].speaker SPEAKER_03
transcript.pyannote[597].start 4707.48096875
transcript.pyannote[597].end 4707.75096875
transcript.pyannote[598].speaker SPEAKER_11
transcript.pyannote[598].start 4707.75096875
transcript.pyannote[598].end 4708.18971875
transcript.pyannote[599].speaker SPEAKER_03
transcript.pyannote[599].start 4708.18971875
transcript.pyannote[599].end 4708.84784375
transcript.pyannote[600].speaker SPEAKER_03
transcript.pyannote[600].start 4709.28659375
transcript.pyannote[600].end 4709.91096875
transcript.pyannote[601].speaker SPEAKER_04
transcript.pyannote[601].start 4711.36221875
transcript.pyannote[601].end 4711.78409375
transcript.pyannote[602].speaker SPEAKER_03
transcript.pyannote[602].start 4711.78409375
transcript.pyannote[602].end 4711.86846875
transcript.pyannote[603].speaker SPEAKER_03
transcript.pyannote[603].start 4711.96971875
transcript.pyannote[603].end 4712.42534375
transcript.pyannote[604].speaker SPEAKER_11
transcript.pyannote[604].start 4712.42534375
transcript.pyannote[604].end 4712.52659375
transcript.pyannote[605].speaker SPEAKER_04
transcript.pyannote[605].start 4712.52659375
transcript.pyannote[605].end 4712.83034375
transcript.pyannote[606].speaker SPEAKER_11
transcript.pyannote[606].start 4712.83034375
transcript.pyannote[606].end 4713.01596875
transcript.pyannote[607].speaker SPEAKER_04
transcript.pyannote[607].start 4713.01596875
transcript.pyannote[607].end 4713.11721875
transcript.pyannote[608].speaker SPEAKER_11
transcript.pyannote[608].start 4713.11721875
transcript.pyannote[608].end 4713.21846875
transcript.pyannote[609].speaker SPEAKER_04
transcript.pyannote[609].start 4713.21846875
transcript.pyannote[609].end 4713.31971875
transcript.pyannote[610].speaker SPEAKER_11
transcript.pyannote[610].start 4713.31971875
transcript.pyannote[610].end 4713.84284375
transcript.pyannote[611].speaker SPEAKER_03
transcript.pyannote[611].start 4715.00721875
transcript.pyannote[611].end 4723.91721875
transcript.pyannote[612].speaker SPEAKER_05
transcript.pyannote[612].start 4716.59346875
transcript.pyannote[612].end 4716.62721875
transcript.pyannote[613].speaker SPEAKER_04
transcript.pyannote[613].start 4716.62721875
transcript.pyannote[613].end 4717.94346875
transcript.pyannote[614].speaker SPEAKER_04
transcript.pyannote[614].start 4718.29784375
transcript.pyannote[614].end 4718.97284375
transcript.pyannote[615].speaker SPEAKER_04
transcript.pyannote[615].start 4719.59721875
transcript.pyannote[615].end 4719.63096875
transcript.pyannote[616].speaker SPEAKER_05
transcript.pyannote[616].start 4721.06534375
transcript.pyannote[616].end 4721.30159375
transcript.pyannote[617].speaker SPEAKER_11
transcript.pyannote[617].start 4721.30159375
transcript.pyannote[617].end 4721.57159375
transcript.pyannote[618].speaker SPEAKER_05
transcript.pyannote[618].start 4721.57159375
transcript.pyannote[618].end 4721.68971875
transcript.pyannote[619].speaker SPEAKER_11
transcript.pyannote[619].start 4721.68971875
transcript.pyannote[619].end 4721.89221875
transcript.pyannote[620].speaker SPEAKER_11
transcript.pyannote[620].start 4721.92596875
transcript.pyannote[620].end 4721.99346875
transcript.pyannote[621].speaker SPEAKER_03
transcript.pyannote[621].start 4727.46096875
transcript.pyannote[621].end 4727.56221875
transcript.pyannote[622].speaker SPEAKER_11
transcript.pyannote[622].start 4727.56221875
transcript.pyannote[622].end 4727.96721875
transcript.pyannote[623].speaker SPEAKER_03
transcript.pyannote[623].start 4727.96721875
transcript.pyannote[623].end 4728.05159375
transcript.pyannote[624].speaker SPEAKER_11
transcript.pyannote[624].start 4728.05159375
transcript.pyannote[624].end 4728.33846875
transcript.pyannote[625].speaker SPEAKER_03
transcript.pyannote[625].start 4728.33846875
transcript.pyannote[625].end 4728.37221875
transcript.pyannote[626].speaker SPEAKER_03
transcript.pyannote[626].start 4728.42284375
transcript.pyannote[626].end 4728.45659375
transcript.pyannote[627].speaker SPEAKER_03
transcript.pyannote[627].start 4728.49034375
transcript.pyannote[627].end 4729.70534375
transcript.pyannote[628].speaker SPEAKER_03
transcript.pyannote[628].start 4735.34159375
transcript.pyannote[628].end 4735.89846875
transcript.pyannote[629].speaker SPEAKER_04
transcript.pyannote[629].start 4736.43846875
transcript.pyannote[629].end 4739.03721875
transcript.pyannote[630].speaker SPEAKER_04
transcript.pyannote[630].start 4739.10471875
transcript.pyannote[630].end 4740.30284375
transcript.pyannote[631].speaker SPEAKER_04
transcript.pyannote[631].start 4742.76659375
transcript.pyannote[631].end 4742.93534375
transcript.pyannote[632].speaker SPEAKER_04
transcript.pyannote[632].start 4744.52159375
transcript.pyannote[632].end 4744.57221875
transcript.pyannote[633].speaker SPEAKER_04
transcript.pyannote[633].start 4744.97721875
transcript.pyannote[633].end 4745.83784375
transcript.pyannote[634].speaker SPEAKER_04
transcript.pyannote[634].start 4750.07346875
transcript.pyannote[634].end 4758.39284375
transcript.pyannote[635].speaker SPEAKER_03
transcript.pyannote[635].start 4756.99221875
transcript.pyannote[635].end 4758.02159375
transcript.pyannote[636].speaker SPEAKER_04
transcript.pyannote[636].start 4759.05096875
transcript.pyannote[636].end 4761.56534375
transcript.pyannote[637].speaker SPEAKER_03
transcript.pyannote[637].start 4761.56534375
transcript.pyannote[637].end 4762.66221875
transcript.pyannote[638].speaker SPEAKER_03
transcript.pyannote[638].start 4762.93221875
transcript.pyannote[638].end 4771.03221875
transcript.pyannote[639].speaker SPEAKER_03
transcript.pyannote[639].start 4771.06596875
transcript.pyannote[639].end 4771.75784375
transcript.pyannote[640].speaker SPEAKER_03
transcript.pyannote[640].start 4795.02846875
transcript.pyannote[640].end 4795.34909375
transcript.pyannote[641].speaker SPEAKER_05
transcript.pyannote[641].start 4796.58096875
transcript.pyannote[641].end 4796.85096875
transcript.pyannote[642].speaker SPEAKER_03
transcript.pyannote[642].start 4803.65159375
transcript.pyannote[642].end 4803.76971875
transcript.pyannote[643].speaker SPEAKER_03
transcript.pyannote[643].start 4803.97221875
transcript.pyannote[643].end 4804.57971875
transcript.pyannote[644].speaker SPEAKER_03
transcript.pyannote[644].start 4805.45721875
transcript.pyannote[644].end 4806.31784375
transcript.pyannote[645].speaker SPEAKER_03
transcript.pyannote[645].start 4806.45284375
transcript.pyannote[645].end 4806.80721875
transcript.pyannote[646].speaker SPEAKER_03
transcript.pyannote[646].start 4806.97596875
transcript.pyannote[646].end 4807.02659375
transcript.pyannote[647].speaker SPEAKER_03
transcript.pyannote[647].start 4807.24596875
transcript.pyannote[647].end 4808.39346875
transcript.pyannote[648].speaker SPEAKER_03
transcript.pyannote[648].start 4811.17784375
transcript.pyannote[648].end 4811.19471875
transcript.pyannote[649].speaker SPEAKER_03
transcript.pyannote[649].start 4811.26221875
transcript.pyannote[649].end 4811.36346875
transcript.pyannote[650].speaker SPEAKER_03
transcript.pyannote[650].start 4811.68409375
transcript.pyannote[650].end 4812.27471875
transcript.pyannote[651].speaker SPEAKER_03
transcript.pyannote[651].start 4812.29159375
transcript.pyannote[651].end 4812.30846875
transcript.pyannote[652].speaker SPEAKER_03
transcript.pyannote[652].start 4812.35909375
transcript.pyannote[652].end 4812.42659375
transcript.pyannote[653].speaker SPEAKER_03
transcript.pyannote[653].start 4815.98721875
transcript.pyannote[653].end 4816.00409375
transcript.pyannote[654].speaker SPEAKER_03
transcript.pyannote[654].start 4818.02909375
transcript.pyannote[654].end 4819.02471875
transcript.pyannote[655].speaker SPEAKER_03
transcript.pyannote[655].start 4821.70784375
transcript.pyannote[655].end 4822.02846875
transcript.pyannote[656].speaker SPEAKER_04
transcript.pyannote[656].start 4823.88471875
transcript.pyannote[656].end 4824.50909375
transcript.pyannote[657].speaker SPEAKER_04
transcript.pyannote[657].start 4825.97721875
transcript.pyannote[657].end 4826.44971875
transcript.pyannote[658].speaker SPEAKER_04
transcript.pyannote[658].start 4828.40721875
transcript.pyannote[658].end 4835.30909375
transcript.pyannote[659].speaker SPEAKER_04
transcript.pyannote[659].start 4835.47784375
transcript.pyannote[659].end 4837.09784375
transcript.pyannote[660].speaker SPEAKER_04
transcript.pyannote[660].start 4837.41846875
transcript.pyannote[660].end 4837.57034375
transcript.pyannote[661].speaker SPEAKER_05
transcript.pyannote[661].start 4837.57034375
transcript.pyannote[661].end 4837.60409375
transcript.pyannote[662].speaker SPEAKER_05
transcript.pyannote[662].start 4837.72221875
transcript.pyannote[662].end 4837.75596875
transcript.pyannote[663].speaker SPEAKER_05
transcript.pyannote[663].start 4837.90784375
transcript.pyannote[663].end 4837.92471875
transcript.pyannote[664].speaker SPEAKER_03
transcript.pyannote[664].start 4837.92471875
transcript.pyannote[664].end 4838.02596875
transcript.pyannote[665].speaker SPEAKER_03
transcript.pyannote[665].start 4838.65034375
transcript.pyannote[665].end 4838.68409375
transcript.pyannote[666].speaker SPEAKER_03
transcript.pyannote[666].start 4838.80221875
transcript.pyannote[666].end 4839.15659375
transcript.pyannote[667].speaker SPEAKER_04
transcript.pyannote[667].start 4838.88659375
transcript.pyannote[667].end 4840.42221875
transcript.pyannote[668].speaker SPEAKER_04
transcript.pyannote[668].start 4840.92846875
transcript.pyannote[668].end 4842.16034375
transcript.pyannote[669].speaker SPEAKER_03
transcript.pyannote[669].start 4842.39659375
transcript.pyannote[669].end 4843.86471875
transcript.pyannote[670].speaker SPEAKER_04
transcript.pyannote[670].start 4843.05471875
transcript.pyannote[670].end 4843.37534375
transcript.pyannote[671].speaker SPEAKER_03
transcript.pyannote[671].start 4843.91534375
transcript.pyannote[671].end 4843.93221875
transcript.pyannote[672].speaker SPEAKER_04
transcript.pyannote[672].start 4843.93221875
transcript.pyannote[672].end 4844.91096875
transcript.pyannote[673].speaker SPEAKER_04
transcript.pyannote[673].start 4848.43784375
transcript.pyannote[673].end 4849.66971875
transcript.pyannote[674].speaker SPEAKER_04
transcript.pyannote[674].start 4850.98596875
transcript.pyannote[674].end 4851.03659375
transcript.pyannote[675].speaker SPEAKER_04
transcript.pyannote[675].start 4851.05346875
transcript.pyannote[675].end 4852.36971875
transcript.pyannote[676].speaker SPEAKER_05
transcript.pyannote[676].start 4921.40534375
transcript.pyannote[676].end 4921.94534375
transcript.pyannote[677].speaker SPEAKER_03
transcript.pyannote[677].start 4947.03846875
transcript.pyannote[677].end 4949.28284375
transcript.pyannote[678].speaker SPEAKER_03
transcript.pyannote[678].start 4950.36284375
transcript.pyannote[678].end 4950.78471875
transcript.pyannote[679].speaker SPEAKER_04
transcript.pyannote[679].start 4959.10409375
transcript.pyannote[679].end 4960.43721875
transcript.pyannote[680].speaker SPEAKER_04
transcript.pyannote[680].start 4961.39909375
transcript.pyannote[680].end 4962.90096875
transcript.pyannote[681].speaker SPEAKER_04
transcript.pyannote[681].start 4962.96846875
transcript.pyannote[681].end 4963.03596875
transcript.pyannote[682].speaker SPEAKER_11
transcript.pyannote[682].start 4972.24971875
transcript.pyannote[682].end 4976.97471875
transcript.pyannote[683].speaker SPEAKER_04
transcript.pyannote[683].start 4976.97471875
transcript.pyannote[683].end 4978.61159375
transcript.pyannote[684].speaker SPEAKER_11
transcript.pyannote[684].start 4978.61159375
transcript.pyannote[684].end 4978.76346875
transcript.pyannote[685].speaker SPEAKER_04
transcript.pyannote[685].start 4979.42159375
transcript.pyannote[685].end 4982.89784375
transcript.pyannote[686].speaker SPEAKER_11
transcript.pyannote[686].start 4980.51846875
transcript.pyannote[686].end 4980.55221875
transcript.pyannote[687].speaker SPEAKER_04
transcript.pyannote[687].start 4984.68659375
transcript.pyannote[687].end 4990.20471875
transcript.pyannote[688].speaker SPEAKER_04
transcript.pyannote[688].start 4992.22971875
transcript.pyannote[688].end 4995.03096875
transcript.pyannote[689].speaker SPEAKER_11
transcript.pyannote[689].start 4995.03096875
transcript.pyannote[689].end 4996.38096875
transcript.pyannote[690].speaker SPEAKER_04
transcript.pyannote[690].start 4996.38096875
transcript.pyannote[690].end 4996.44846875
transcript.pyannote[691].speaker SPEAKER_11
transcript.pyannote[691].start 4996.44846875
transcript.pyannote[691].end 4996.53284375
transcript.pyannote[692].speaker SPEAKER_11
transcript.pyannote[692].start 5000.04284375
transcript.pyannote[692].end 5001.07221875
transcript.pyannote[693].speaker SPEAKER_04
transcript.pyannote[693].start 5080.31721875
transcript.pyannote[693].end 5081.61659375
transcript.pyannote[694].speaker SPEAKER_04
transcript.pyannote[694].start 5082.40971875
transcript.pyannote[694].end 5083.99596875
transcript.pyannote[695].speaker SPEAKER_04
transcript.pyannote[695].start 5085.54846875
transcript.pyannote[695].end 5086.03784375
transcript.pyannote[696].speaker SPEAKER_03
transcript.pyannote[696].start 5087.45534375
transcript.pyannote[696].end 5088.02909375
transcript.pyannote[697].speaker SPEAKER_03
transcript.pyannote[697].start 5144.47596875
transcript.pyannote[697].end 5146.45034375
transcript.pyannote[698].speaker SPEAKER_03
transcript.pyannote[698].start 5146.82159375
transcript.pyannote[698].end 5148.93096875
transcript.pyannote[699].speaker SPEAKER_03
transcript.pyannote[699].start 5148.96471875
transcript.pyannote[699].end 5149.03221875
transcript.pyannote[700].speaker SPEAKER_03
transcript.pyannote[700].start 5175.96471875
transcript.pyannote[700].end 5176.03221875
transcript.pyannote[701].speaker SPEAKER_05
transcript.pyannote[701].start 5176.20096875
transcript.pyannote[701].end 5176.31909375
transcript.pyannote[702].speaker SPEAKER_03
transcript.pyannote[702].start 5177.97284375
transcript.pyannote[702].end 5178.02346875
transcript.pyannote[703].speaker SPEAKER_03
transcript.pyannote[703].start 5178.96846875
transcript.pyannote[703].end 5179.03596875
transcript.pyannote[704].speaker SPEAKER_03
transcript.pyannote[704].start 5205.29346875
transcript.pyannote[704].end 5205.52971875
transcript.pyannote[705].speaker SPEAKER_03
transcript.pyannote[705].start 5205.83346875
transcript.pyannote[705].end 5206.40721875
transcript.pyannote[706].speaker SPEAKER_04
transcript.pyannote[706].start 5206.40721875
transcript.pyannote[706].end 5208.22971875
transcript.pyannote[707].speaker SPEAKER_04
transcript.pyannote[707].start 5208.48284375
transcript.pyannote[707].end 5209.51221875
transcript.pyannote[708].speaker SPEAKER_04
transcript.pyannote[708].start 5211.57096875
transcript.pyannote[708].end 5213.03909375
transcript.pyannote[709].speaker SPEAKER_04
transcript.pyannote[709].start 5214.01784375
transcript.pyannote[709].end 5214.72659375
transcript.pyannote[710].speaker SPEAKER_04
transcript.pyannote[710].start 5214.79409375
transcript.pyannote[710].end 5215.60409375
transcript.pyannote[711].speaker SPEAKER_04
transcript.pyannote[711].start 5216.21159375
transcript.pyannote[711].end 5216.88659375
transcript.pyannote[712].speaker SPEAKER_04
transcript.pyannote[712].start 5217.32534375
transcript.pyannote[712].end 5218.57409375
transcript.pyannote[713].speaker SPEAKER_05
transcript.pyannote[713].start 5217.40971875
transcript.pyannote[713].end 5217.89909375
transcript.pyannote[714].speaker SPEAKER_04
transcript.pyannote[714].start 5218.91159375
transcript.pyannote[714].end 5221.03784375
transcript.pyannote[715].speaker SPEAKER_04
transcript.pyannote[715].start 5221.40909375
transcript.pyannote[715].end 5223.41721875
transcript.pyannote[716].speaker SPEAKER_04
transcript.pyannote[716].start 5224.10909375
transcript.pyannote[716].end 5227.85534375
transcript.pyannote[717].speaker SPEAKER_04
transcript.pyannote[717].start 5227.97346875
transcript.pyannote[717].end 5228.02409375
transcript.pyannote[718].speaker SPEAKER_04
transcript.pyannote[718].start 5244.96659375
transcript.pyannote[718].end 5245.59096875
transcript.pyannote[719].speaker SPEAKER_04
transcript.pyannote[719].start 5246.24909375
transcript.pyannote[719].end 5251.76721875
transcript.pyannote[720].speaker SPEAKER_03
transcript.pyannote[720].start 5297.46471875
transcript.pyannote[720].end 5298.37596875
transcript.pyannote[721].speaker SPEAKER_04
transcript.pyannote[721].start 5313.32721875
transcript.pyannote[721].end 5313.61409375
transcript.pyannote[722].speaker SPEAKER_04
transcript.pyannote[722].start 5314.33971875
transcript.pyannote[722].end 5315.70659375
transcript.pyannote[723].speaker SPEAKER_03
transcript.pyannote[723].start 5317.00596875
transcript.pyannote[723].end 5320.71846875
transcript.pyannote[724].speaker SPEAKER_04
transcript.pyannote[724].start 5319.08159375
transcript.pyannote[724].end 5319.87471875
transcript.pyannote[725].speaker SPEAKER_04
transcript.pyannote[725].start 5321.15721875
transcript.pyannote[725].end 5323.67159375
transcript.pyannote[726].speaker SPEAKER_03
transcript.pyannote[726].start 5323.41846875
transcript.pyannote[726].end 5323.84034375
transcript.pyannote[727].speaker SPEAKER_04
transcript.pyannote[727].start 5323.84034375
transcript.pyannote[727].end 5326.21971875
transcript.pyannote[728].speaker SPEAKER_03
transcript.pyannote[728].start 5325.00471875
transcript.pyannote[728].end 5325.20721875
transcript.pyannote[729].speaker SPEAKER_04
transcript.pyannote[729].start 5326.87784375
transcript.pyannote[729].end 5327.35034375
transcript.pyannote[730].speaker SPEAKER_03
transcript.pyannote[730].start 5327.53596875
transcript.pyannote[730].end 5327.62034375
transcript.pyannote[731].speaker SPEAKER_04
transcript.pyannote[731].start 5327.62034375
transcript.pyannote[731].end 5328.02534375
transcript.pyannote[732].speaker SPEAKER_04
transcript.pyannote[732].start 5328.19409375
transcript.pyannote[732].end 5328.97034375
transcript.pyannote[733].speaker SPEAKER_04
transcript.pyannote[733].start 5329.17284375
transcript.pyannote[733].end 5329.61159375
transcript.pyannote[734].speaker SPEAKER_03
transcript.pyannote[734].start 5329.61159375
transcript.pyannote[734].end 5329.66221875
transcript.pyannote[735].speaker SPEAKER_04
transcript.pyannote[735].start 5339.17971875
transcript.pyannote[735].end 5343.63471875
transcript.pyannote[736].speaker SPEAKER_04
transcript.pyannote[736].start 5344.96784375
transcript.pyannote[736].end 5345.76096875
transcript.pyannote[737].speaker SPEAKER_04
transcript.pyannote[737].start 5347.11096875
transcript.pyannote[737].end 5350.33409375
transcript.pyannote[738].speaker SPEAKER_04
transcript.pyannote[738].start 5351.31284375
transcript.pyannote[738].end 5353.18596875
transcript.pyannote[739].speaker SPEAKER_03
transcript.pyannote[739].start 5367.96846875
transcript.pyannote[739].end 5368.76159375
transcript.pyannote[740].speaker SPEAKER_03
transcript.pyannote[740].start 5370.26346875
transcript.pyannote[740].end 5370.66846875
transcript.pyannote[741].speaker SPEAKER_03
transcript.pyannote[741].start 5370.97221875
transcript.pyannote[741].end 5371.02284375
transcript.pyannote[742].speaker SPEAKER_03
transcript.pyannote[742].start 5371.84971875
transcript.pyannote[742].end 5371.93409375
transcript.pyannote[743].speaker SPEAKER_03
transcript.pyannote[743].start 5371.96784375
transcript.pyannote[743].end 5372.03534375
transcript.pyannote[744].speaker SPEAKER_03
transcript.pyannote[744].start 5383.17284375
transcript.pyannote[744].end 5384.53971875
transcript.pyannote[745].speaker SPEAKER_03
transcript.pyannote[745].start 5384.97846875
transcript.pyannote[745].end 5384.99534375
transcript.pyannote[746].speaker SPEAKER_03
transcript.pyannote[746].start 5386.12596875
transcript.pyannote[746].end 5386.14284375
transcript.pyannote[747].speaker SPEAKER_11
transcript.pyannote[747].start 5386.14284375
transcript.pyannote[747].end 5386.54784375
transcript.pyannote[748].speaker SPEAKER_03
transcript.pyannote[748].start 5386.54784375
transcript.pyannote[748].end 5386.61534375
transcript.pyannote[749].speaker SPEAKER_03
transcript.pyannote[749].start 5386.69971875
transcript.pyannote[749].end 5387.30721875
transcript.pyannote[750].speaker SPEAKER_03
transcript.pyannote[750].start 5392.74096875
transcript.pyannote[750].end 5393.63534375
transcript.pyannote[751].speaker SPEAKER_03
transcript.pyannote[751].start 5394.78284375
transcript.pyannote[751].end 5397.11159375
transcript.pyannote[752].speaker SPEAKER_03
transcript.pyannote[752].start 5399.55846875
transcript.pyannote[752].end 5400.03096875
transcript.pyannote[753].speaker SPEAKER_04
transcript.pyannote[753].start 5422.30596875
transcript.pyannote[753].end 5423.28471875
transcript.pyannote[754].speaker SPEAKER_03
transcript.pyannote[754].start 5423.28471875
transcript.pyannote[754].end 5428.70159375
transcript.pyannote[755].speaker SPEAKER_16
transcript.pyannote[755].start 5424.93846875
transcript.pyannote[755].end 5426.23784375
transcript.pyannote[756].speaker SPEAKER_04
transcript.pyannote[756].start 5426.82846875
transcript.pyannote[756].end 5427.84096875
transcript.pyannote[757].speaker SPEAKER_03
transcript.pyannote[757].start 5429.12346875
transcript.pyannote[757].end 5436.22784375
transcript.pyannote[758].speaker SPEAKER_04
transcript.pyannote[758].start 5430.32159375
transcript.pyannote[758].end 5431.14846875
transcript.pyannote[759].speaker SPEAKER_00
transcript.pyannote[759].start 5431.14846875
transcript.pyannote[759].end 5431.40159375
transcript.pyannote[760].speaker SPEAKER_00
transcript.pyannote[760].start 5432.36346875
transcript.pyannote[760].end 5432.97096875
transcript.pyannote[761].speaker SPEAKER_00
transcript.pyannote[761].start 5434.87784375
transcript.pyannote[761].end 5435.09721875
transcript.pyannote[762].speaker SPEAKER_03
transcript.pyannote[762].start 5436.26159375
transcript.pyannote[762].end 5437.15596875
transcript.pyannote[763].speaker SPEAKER_03
transcript.pyannote[763].start 5437.83096875
transcript.pyannote[763].end 5438.40471875
transcript.pyannote[764].speaker SPEAKER_03
transcript.pyannote[764].start 5438.45534375
transcript.pyannote[764].end 5439.07971875
transcript.pyannote[765].speaker SPEAKER_03
transcript.pyannote[765].start 5439.16409375
transcript.pyannote[765].end 5440.68284375
transcript.pyannote[766].speaker SPEAKER_03
transcript.pyannote[766].start 5607.40784375
transcript.pyannote[766].end 5607.81284375
transcript.pyannote[767].speaker SPEAKER_03
transcript.pyannote[767].start 5607.96471875
transcript.pyannote[767].end 5608.03221875
transcript.pyannote[768].speaker SPEAKER_05
transcript.pyannote[768].start 5666.58846875
transcript.pyannote[768].end 5667.43221875
transcript.pyannote[769].speaker SPEAKER_05
transcript.pyannote[769].start 5667.97221875
transcript.pyannote[769].end 5668.02284375
transcript.pyannote[770].speaker SPEAKER_16
transcript.pyannote[770].start 5680.96596875
transcript.pyannote[770].end 5681.05034375
transcript.pyannote[771].speaker SPEAKER_03
transcript.pyannote[771].start 5684.69534375
transcript.pyannote[771].end 5685.16784375
transcript.pyannote[772].speaker SPEAKER_16
transcript.pyannote[772].start 5685.16784375
transcript.pyannote[772].end 5685.18471875
transcript.pyannote[773].speaker SPEAKER_03
transcript.pyannote[773].start 5685.18471875
transcript.pyannote[773].end 5685.20159375
transcript.pyannote[774].speaker SPEAKER_16
transcript.pyannote[774].start 5685.20159375
transcript.pyannote[774].end 5685.21846875
transcript.pyannote[775].speaker SPEAKER_03
transcript.pyannote[775].start 5685.21846875
transcript.pyannote[775].end 5685.28596875
transcript.pyannote[776].speaker SPEAKER_16
transcript.pyannote[776].start 5685.28596875
transcript.pyannote[776].end 5685.70784375
transcript.pyannote[777].speaker SPEAKER_03
transcript.pyannote[777].start 5686.39971875
transcript.pyannote[777].end 5686.60221875
transcript.pyannote[778].speaker SPEAKER_16
transcript.pyannote[778].start 5686.60221875
transcript.pyannote[778].end 5689.94346875
transcript.pyannote[779].speaker SPEAKER_03
transcript.pyannote[779].start 5689.94346875
transcript.pyannote[779].end 5689.97721875
transcript.pyannote[780].speaker SPEAKER_16
transcript.pyannote[780].start 5689.97721875
transcript.pyannote[780].end 5690.09534375
transcript.pyannote[781].speaker SPEAKER_16
transcript.pyannote[781].start 5690.36534375
transcript.pyannote[781].end 5691.85034375
transcript.pyannote[782].speaker SPEAKER_16
transcript.pyannote[782].start 5692.10346875
transcript.pyannote[782].end 5693.97659375
transcript.pyannote[783].speaker SPEAKER_04
transcript.pyannote[783].start 5692.17096875
transcript.pyannote[783].end 5692.44096875
transcript.pyannote[784].speaker SPEAKER_03
transcript.pyannote[784].start 5692.44096875
transcript.pyannote[784].end 5692.47471875
transcript.pyannote[785].speaker SPEAKER_04
transcript.pyannote[785].start 5696.86221875
transcript.pyannote[785].end 5696.87909375
transcript.pyannote[786].speaker SPEAKER_04
transcript.pyannote[786].start 5696.96346875
transcript.pyannote[786].end 5697.04784375
transcript.pyannote[787].speaker SPEAKER_04
transcript.pyannote[787].start 5697.09846875
transcript.pyannote[787].end 5698.02659375
transcript.pyannote[788].speaker SPEAKER_04
transcript.pyannote[788].start 5713.39971875
transcript.pyannote[788].end 5716.26846875
transcript.pyannote[789].speaker SPEAKER_03
transcript.pyannote[789].start 5724.08159375
transcript.pyannote[789].end 5727.03471875
transcript.pyannote[790].speaker SPEAKER_03
transcript.pyannote[790].start 5728.31721875
transcript.pyannote[790].end 5728.67159375
transcript.pyannote[791].speaker SPEAKER_03
transcript.pyannote[791].start 5729.59971875
transcript.pyannote[791].end 5731.37159375
transcript.pyannote[792].speaker SPEAKER_05
transcript.pyannote[792].start 5729.90346875
transcript.pyannote[792].end 5731.00034375
transcript.pyannote[793].speaker SPEAKER_03
transcript.pyannote[793].start 5735.11784375
transcript.pyannote[793].end 5735.52284375
transcript.pyannote[794].speaker SPEAKER_03
transcript.pyannote[794].start 5812.40534375
transcript.pyannote[794].end 5812.57409375
transcript.pyannote[795].speaker SPEAKER_05
transcript.pyannote[795].start 5812.57409375
transcript.pyannote[795].end 5812.86096875
transcript.pyannote[796].speaker SPEAKER_03
transcript.pyannote[796].start 5812.86096875
transcript.pyannote[796].end 5813.01284375
transcript.pyannote[797].speaker SPEAKER_05
transcript.pyannote[797].start 5919.88221875
transcript.pyannote[797].end 5920.27034375
transcript.pyannote[798].speaker SPEAKER_00
transcript.pyannote[798].start 5932.35284375
transcript.pyannote[798].end 5932.55534375
transcript.pyannote[799].speaker SPEAKER_04
transcript.pyannote[799].start 5958.34034375
transcript.pyannote[799].end 5958.88034375
transcript.pyannote[800].speaker SPEAKER_04
transcript.pyannote[800].start 5958.89721875
transcript.pyannote[800].end 5958.96471875
transcript.pyannote[801].speaker SPEAKER_03
transcript.pyannote[801].start 5976.97034375
transcript.pyannote[801].end 5977.03784375
transcript.pyannote[802].speaker SPEAKER_03
transcript.pyannote[802].start 5978.47221875
transcript.pyannote[802].end 5978.96159375
transcript.pyannote[803].speaker SPEAKER_03
transcript.pyannote[803].start 5978.97846875
transcript.pyannote[803].end 5979.02909375
transcript.pyannote[804].speaker SPEAKER_05
transcript.pyannote[804].start 5981.37471875
transcript.pyannote[804].end 5981.47596875
transcript.pyannote[805].speaker SPEAKER_03
transcript.pyannote[805].start 5982.97784375
transcript.pyannote[805].end 5983.93971875
transcript.pyannote[806].speaker SPEAKER_03
transcript.pyannote[806].start 5983.97346875
transcript.pyannote[806].end 5984.02409375
transcript.pyannote[807].speaker SPEAKER_03
transcript.pyannote[807].start 5986.99409375
transcript.pyannote[807].end 5987.77034375
transcript.pyannote[808].speaker SPEAKER_03
transcript.pyannote[808].start 5987.95596875
transcript.pyannote[808].end 6002.56971875
transcript.pyannote[809].speaker SPEAKER_03
transcript.pyannote[809].start 6002.78909375
transcript.pyannote[809].end 6005.53971875
transcript.pyannote[810].speaker SPEAKER_03
transcript.pyannote[810].start 6006.18096875
transcript.pyannote[810].end 6009.23534375
transcript.pyannote[811].speaker SPEAKER_05
transcript.pyannote[811].start 6027.17346875
transcript.pyannote[811].end 6027.20721875
transcript.pyannote[812].speaker SPEAKER_03
transcript.pyannote[812].start 6036.10034375
transcript.pyannote[812].end 6036.64034375
transcript.pyannote[813].speaker SPEAKER_03
transcript.pyannote[813].start 6036.79221875
transcript.pyannote[813].end 6067.47096875
transcript.pyannote[814].speaker SPEAKER_05
transcript.pyannote[814].start 6041.12909375
transcript.pyannote[814].end 6041.17971875
transcript.pyannote[815].speaker SPEAKER_04
transcript.pyannote[815].start 6066.08721875
transcript.pyannote[815].end 6066.10409375
transcript.pyannote[816].speaker SPEAKER_00
transcript.pyannote[816].start 6066.10409375
transcript.pyannote[816].end 6066.61034375
transcript.pyannote[817].speaker SPEAKER_04
transcript.pyannote[817].start 6066.61034375
transcript.pyannote[817].end 6069.31034375
transcript.pyannote[818].speaker SPEAKER_03
transcript.pyannote[818].start 6069.31034375
transcript.pyannote[818].end 6069.46221875
transcript.pyannote[819].speaker SPEAKER_04
transcript.pyannote[819].start 6069.46221875
transcript.pyannote[819].end 6074.82846875
transcript.pyannote[820].speaker SPEAKER_03
transcript.pyannote[820].start 6074.82846875
transcript.pyannote[820].end 6075.58784375
transcript.pyannote[821].speaker SPEAKER_04
transcript.pyannote[821].start 6075.06471875
transcript.pyannote[821].end 6076.92096875
transcript.pyannote[822].speaker SPEAKER_04
transcript.pyannote[822].start 6077.08971875
transcript.pyannote[822].end 6077.10659375
transcript.pyannote[823].speaker SPEAKER_03
transcript.pyannote[823].start 6077.10659375
transcript.pyannote[823].end 6078.84471875
transcript.pyannote[824].speaker SPEAKER_04
transcript.pyannote[824].start 6077.12346875
transcript.pyannote[824].end 6077.79846875
transcript.pyannote[825].speaker SPEAKER_03
transcript.pyannote[825].start 6079.14846875
transcript.pyannote[825].end 6081.98346875
transcript.pyannote[826].speaker SPEAKER_03
transcript.pyannote[826].start 6082.55721875
transcript.pyannote[826].end 6085.72971875
transcript.pyannote[827].speaker SPEAKER_05
transcript.pyannote[827].start 6084.36284375
transcript.pyannote[827].end 6084.58221875
transcript.pyannote[828].speaker SPEAKER_04
transcript.pyannote[828].start 6084.58221875
transcript.pyannote[828].end 6085.45971875
transcript.pyannote[829].speaker SPEAKER_04
transcript.pyannote[829].start 6085.72971875
transcript.pyannote[829].end 6085.74659375
transcript.pyannote[830].speaker SPEAKER_03
transcript.pyannote[830].start 6085.74659375
transcript.pyannote[830].end 6085.93221875
transcript.pyannote[831].speaker SPEAKER_03
transcript.pyannote[831].start 6087.63659375
transcript.pyannote[831].end 6089.49284375
transcript.pyannote[832].speaker SPEAKER_04
transcript.pyannote[832].start 6087.97409375
transcript.pyannote[832].end 6090.23534375
transcript.pyannote[833].speaker SPEAKER_03
transcript.pyannote[833].start 6090.47159375
transcript.pyannote[833].end 6090.53909375
transcript.pyannote[834].speaker SPEAKER_03
transcript.pyannote[834].start 6090.69096875
transcript.pyannote[834].end 6090.72471875
transcript.pyannote[835].speaker SPEAKER_03
transcript.pyannote[835].start 6090.97784375
transcript.pyannote[835].end 6091.02846875
transcript.pyannote[836].speaker SPEAKER_03
transcript.pyannote[836].start 6091.14659375
transcript.pyannote[836].end 6092.81721875
transcript.pyannote[837].speaker SPEAKER_05
transcript.pyannote[837].start 6099.92159375
transcript.pyannote[837].end 6100.20846875
transcript.pyannote[838].speaker SPEAKER_04
transcript.pyannote[838].start 6100.63034375
transcript.pyannote[838].end 6100.73159375
transcript.pyannote[839].speaker SPEAKER_05
transcript.pyannote[839].start 6100.73159375
transcript.pyannote[839].end 6105.45659375
transcript.pyannote[840].speaker SPEAKER_03
transcript.pyannote[840].start 6101.28846875
transcript.pyannote[840].end 6105.11909375
transcript.pyannote[841].speaker SPEAKER_04
transcript.pyannote[841].start 6107.31284375
transcript.pyannote[841].end 6107.85284375
transcript.pyannote[842].speaker SPEAKER_03
transcript.pyannote[842].start 6108.13971875
transcript.pyannote[842].end 6108.64596875
transcript.pyannote[843].speaker SPEAKER_03
transcript.pyannote[843].start 6110.90721875
transcript.pyannote[843].end 6110.94096875
transcript.pyannote[844].speaker SPEAKER_04
transcript.pyannote[844].start 6110.94096875
transcript.pyannote[844].end 6112.54409375
transcript.pyannote[845].speaker SPEAKER_03
transcript.pyannote[845].start 6112.91534375
transcript.pyannote[845].end 6117.89346875
transcript.pyannote[846].speaker SPEAKER_04
transcript.pyannote[846].start 6114.02909375
transcript.pyannote[846].end 6114.50159375
transcript.pyannote[847].speaker SPEAKER_04
transcript.pyannote[847].start 6114.97409375
transcript.pyannote[847].end 6119.80034375
transcript.pyannote[848].speaker SPEAKER_03
transcript.pyannote[848].start 6118.11284375
transcript.pyannote[848].end 6118.43346875
transcript.pyannote[849].speaker SPEAKER_03
transcript.pyannote[849].start 6119.10846875
transcript.pyannote[849].end 6119.47971875
transcript.pyannote[850].speaker SPEAKER_03
transcript.pyannote[850].start 6119.80034375
transcript.pyannote[850].end 6120.39096875
transcript.pyannote[851].speaker SPEAKER_03
transcript.pyannote[851].start 6120.98159375
transcript.pyannote[851].end 6125.33534375
transcript.pyannote[852].speaker SPEAKER_04
transcript.pyannote[852].start 6124.76159375
transcript.pyannote[852].end 6125.04846875
transcript.pyannote[853].speaker SPEAKER_03
transcript.pyannote[853].start 6125.77409375
transcript.pyannote[853].end 6126.02721875
transcript.pyannote[854].speaker SPEAKER_03
transcript.pyannote[854].start 6126.33096875
transcript.pyannote[854].end 6128.03534375
transcript.pyannote[855].speaker SPEAKER_04
transcript.pyannote[855].start 6129.40221875
transcript.pyannote[855].end 6130.83659375
transcript.pyannote[856].speaker SPEAKER_04
transcript.pyannote[856].start 6131.62971875
transcript.pyannote[856].end 6133.03034375
transcript.pyannote[857].speaker SPEAKER_03
transcript.pyannote[857].start 6148.36971875
transcript.pyannote[857].end 6150.79971875
transcript.pyannote[858].speaker SPEAKER_03
transcript.pyannote[858].start 6150.96846875
transcript.pyannote[858].end 6151.03596875
transcript.pyannote[859].speaker SPEAKER_03
transcript.pyannote[859].start 6152.47034375
transcript.pyannote[859].end 6153.26346875
transcript.pyannote[860].speaker SPEAKER_04
transcript.pyannote[860].start 6153.26346875
transcript.pyannote[860].end 6153.63471875
transcript.pyannote[861].speaker SPEAKER_03
transcript.pyannote[861].start 6153.97221875
transcript.pyannote[861].end 6155.27159375
transcript.pyannote[862].speaker SPEAKER_04
transcript.pyannote[862].start 6155.27159375
transcript.pyannote[862].end 6157.17846875
transcript.pyannote[863].speaker SPEAKER_04
transcript.pyannote[863].start 6161.76846875
transcript.pyannote[863].end 6165.09284375
transcript.pyannote[864].speaker SPEAKER_03
transcript.pyannote[864].start 6165.09284375
transcript.pyannote[864].end 6165.63284375
transcript.pyannote[865].speaker SPEAKER_04
transcript.pyannote[865].start 6166.30784375
transcript.pyannote[865].end 6169.51409375
transcript.pyannote[866].speaker SPEAKER_03
transcript.pyannote[866].start 6169.51409375
transcript.pyannote[866].end 6172.02846875
transcript.pyannote[867].speaker SPEAKER_03
transcript.pyannote[867].start 6172.56846875
transcript.pyannote[867].end 6172.61909375
transcript.pyannote[868].speaker SPEAKER_03
transcript.pyannote[868].start 6172.70346875
transcript.pyannote[868].end 6172.82159375
transcript.pyannote[869].speaker SPEAKER_04
transcript.pyannote[869].start 6173.61471875
transcript.pyannote[869].end 6173.69909375
transcript.pyannote[870].speaker SPEAKER_03
transcript.pyannote[870].start 6173.69909375
transcript.pyannote[870].end 6173.85096875
transcript.pyannote[871].speaker SPEAKER_04
transcript.pyannote[871].start 6173.85096875
transcript.pyannote[871].end 6174.35721875
transcript.pyannote[872].speaker SPEAKER_04
transcript.pyannote[872].start 6178.01909375
transcript.pyannote[872].end 6180.83721875
transcript.pyannote[873].speaker SPEAKER_03
transcript.pyannote[873].start 6179.35221875
transcript.pyannote[873].end 6180.68534375
transcript.pyannote[874].speaker SPEAKER_03
transcript.pyannote[874].start 6180.83721875
transcript.pyannote[874].end 6180.85409375
transcript.pyannote[875].speaker SPEAKER_03
transcript.pyannote[875].start 6181.27596875
transcript.pyannote[875].end 6182.38971875
transcript.pyannote[876].speaker SPEAKER_03
transcript.pyannote[876].start 6183.68909375
transcript.pyannote[876].end 6184.02659375
transcript.pyannote[877].speaker SPEAKER_03
transcript.pyannote[877].start 6193.86471875
transcript.pyannote[877].end 6195.02909375
transcript.pyannote[878].speaker SPEAKER_03
transcript.pyannote[878].start 6195.97409375
transcript.pyannote[878].end 6205.23846875
transcript.pyannote[879].speaker SPEAKER_05
transcript.pyannote[879].start 6197.03721875
transcript.pyannote[879].end 6197.10471875
transcript.pyannote[880].speaker SPEAKER_05
transcript.pyannote[880].start 6197.29034375
transcript.pyannote[880].end 6197.30721875
transcript.pyannote[881].speaker SPEAKER_04
transcript.pyannote[881].start 6202.48784375
transcript.pyannote[881].end 6205.10346875
transcript.pyannote[882].speaker SPEAKER_03
transcript.pyannote[882].start 6205.81221875
transcript.pyannote[882].end 6211.26284375
transcript.pyannote[883].speaker SPEAKER_03
transcript.pyannote[883].start 6211.44846875
transcript.pyannote[883].end 6213.15284375
transcript.pyannote[884].speaker SPEAKER_04
transcript.pyannote[884].start 6211.68471875
transcript.pyannote[884].end 6211.85346875
transcript.pyannote[885].speaker SPEAKER_03
transcript.pyannote[885].start 6213.59159375
transcript.pyannote[885].end 6213.82784375
transcript.pyannote[886].speaker SPEAKER_03
transcript.pyannote[886].start 6237.97596875
transcript.pyannote[886].end 6238.02659375
transcript.pyannote[887].speaker SPEAKER_03
transcript.pyannote[887].start 6238.24596875
transcript.pyannote[887].end 6238.38096875
transcript.pyannote[888].speaker SPEAKER_04
transcript.pyannote[888].start 6241.97534375
transcript.pyannote[888].end 6242.02596875
transcript.pyannote[889].speaker SPEAKER_03
transcript.pyannote[889].start 6242.02596875
transcript.pyannote[889].end 6242.05971875
transcript.pyannote[890].speaker SPEAKER_04
transcript.pyannote[890].start 6242.05971875
transcript.pyannote[890].end 6242.93721875
transcript.pyannote[891].speaker SPEAKER_03
transcript.pyannote[891].start 6243.98346875
transcript.pyannote[891].end 6245.67096875
transcript.pyannote[892].speaker SPEAKER_05
transcript.pyannote[892].start 6244.03409375
transcript.pyannote[892].end 6245.09721875
transcript.pyannote[893].speaker SPEAKER_03
transcript.pyannote[893].start 6245.97471875
transcript.pyannote[893].end 6248.60721875
transcript.pyannote[894].speaker SPEAKER_03
transcript.pyannote[894].start 6249.51846875
transcript.pyannote[894].end 6253.24784375
transcript.pyannote[895].speaker SPEAKER_03
transcript.pyannote[895].start 6254.05784375
transcript.pyannote[895].end 6256.30221875
transcript.pyannote[896].speaker SPEAKER_03
transcript.pyannote[896].start 6262.10721875
transcript.pyannote[896].end 6262.25909375
transcript.pyannote[897].speaker SPEAKER_03
transcript.pyannote[897].start 6262.71471875
transcript.pyannote[897].end 6263.96346875
transcript.pyannote[898].speaker SPEAKER_03
transcript.pyannote[898].start 6265.88721875
transcript.pyannote[898].end 6267.43971875
transcript.pyannote[899].speaker SPEAKER_03
transcript.pyannote[899].start 6282.07034375
transcript.pyannote[899].end 6282.34034375
transcript.pyannote[900].speaker SPEAKER_03
transcript.pyannote[900].start 6283.36971875
transcript.pyannote[900].end 6293.30909375
transcript.pyannote[901].speaker SPEAKER_05
transcript.pyannote[901].start 6288.33096875
transcript.pyannote[901].end 6288.71909375
transcript.pyannote[902].speaker SPEAKER_03
transcript.pyannote[902].start 6293.96721875
transcript.pyannote[902].end 6298.11846875
transcript.pyannote[903].speaker SPEAKER_00
transcript.pyannote[903].start 6298.74284375
transcript.pyannote[903].end 6299.46846875
transcript.pyannote[904].speaker SPEAKER_03
transcript.pyannote[904].start 6299.92409375
transcript.pyannote[904].end 6307.11284375
transcript.pyannote[905].speaker SPEAKER_03
transcript.pyannote[905].start 6307.38284375
transcript.pyannote[905].end 6310.35284375
transcript.pyannote[906].speaker SPEAKER_03
transcript.pyannote[906].start 6311.90534375
transcript.pyannote[906].end 6314.09909375
transcript.pyannote[907].speaker SPEAKER_05
transcript.pyannote[907].start 6315.58409375
transcript.pyannote[907].end 6315.88784375
transcript.pyannote[908].speaker SPEAKER_03
transcript.pyannote[908].start 6315.88784375
transcript.pyannote[908].end 6321.84471875
transcript.pyannote[909].speaker SPEAKER_05
transcript.pyannote[909].start 6316.29284375
transcript.pyannote[909].end 6317.23784375
transcript.pyannote[910].speaker SPEAKER_03
transcript.pyannote[910].start 6322.41846875
transcript.pyannote[910].end 6323.36346875
transcript.pyannote[911].speaker SPEAKER_05
transcript.pyannote[911].start 6325.28721875
transcript.pyannote[911].end 6325.94534375
transcript.pyannote[912].speaker SPEAKER_03
transcript.pyannote[912].start 6325.94534375
transcript.pyannote[912].end 6325.97909375
transcript.pyannote[913].speaker SPEAKER_03
transcript.pyannote[913].start 6326.85659375
transcript.pyannote[913].end 6328.84784375
transcript.pyannote[914].speaker SPEAKER_03
transcript.pyannote[914].start 6328.86471875
transcript.pyannote[914].end 6328.96596875
transcript.pyannote[915].speaker SPEAKER_03
transcript.pyannote[915].start 6329.55659375
transcript.pyannote[915].end 6331.21034375
transcript.pyannote[916].speaker SPEAKER_03
transcript.pyannote[916].start 6331.49721875
transcript.pyannote[916].end 6334.65284375
transcript.pyannote[917].speaker SPEAKER_05
transcript.pyannote[917].start 6333.47159375
transcript.pyannote[917].end 6333.52221875
transcript.pyannote[918].speaker SPEAKER_03
transcript.pyannote[918].start 6335.22659375
transcript.pyannote[918].end 6337.25159375
transcript.pyannote[919].speaker SPEAKER_03
transcript.pyannote[919].start 6337.79159375
transcript.pyannote[919].end 6339.74909375
transcript.pyannote[920].speaker SPEAKER_00
transcript.pyannote[920].start 6339.25971875
transcript.pyannote[920].end 6339.44534375
transcript.pyannote[921].speaker SPEAKER_03
transcript.pyannote[921].start 6342.49971875
transcript.pyannote[921].end 6343.76534375
transcript.pyannote[922].speaker SPEAKER_03
transcript.pyannote[922].start 6344.30534375
transcript.pyannote[922].end 6345.03096875
transcript.pyannote[923].speaker SPEAKER_03
transcript.pyannote[923].start 6352.13534375
transcript.pyannote[923].end 6353.02971875
transcript.pyannote[924].speaker SPEAKER_05
transcript.pyannote[924].start 6353.02971875
transcript.pyannote[924].end 6353.70471875
transcript.pyannote[925].speaker SPEAKER_03
transcript.pyannote[925].start 6353.70471875
transcript.pyannote[925].end 6353.75534375
transcript.pyannote[926].speaker SPEAKER_05
transcript.pyannote[926].start 6353.75534375
transcript.pyannote[926].end 6353.95784375
transcript.pyannote[927].speaker SPEAKER_03
transcript.pyannote[927].start 6353.95784375
transcript.pyannote[927].end 6368.26784375
transcript.pyannote[928].speaker SPEAKER_03
transcript.pyannote[928].start 6368.53784375
transcript.pyannote[928].end 6369.83721875
transcript.pyannote[929].speaker SPEAKER_03
transcript.pyannote[929].start 6370.52909375
transcript.pyannote[929].end 6372.03096875
transcript.pyannote[930].speaker SPEAKER_03
transcript.pyannote[930].start 6372.38534375
transcript.pyannote[930].end 6375.10221875
transcript.pyannote[931].speaker SPEAKER_03
transcript.pyannote[931].start 6375.96284375
transcript.pyannote[931].end 6376.03034375
transcript.pyannote[932].speaker SPEAKER_03
transcript.pyannote[932].start 6385.46346875
transcript.pyannote[932].end 6387.33659375
transcript.pyannote[933].speaker SPEAKER_03
transcript.pyannote[933].start 6391.06596875
transcript.pyannote[933].end 6391.77471875
transcript.pyannote[934].speaker SPEAKER_03
transcript.pyannote[934].start 6415.97346875
transcript.pyannote[934].end 6416.02409375
transcript.pyannote[935].speaker SPEAKER_03
transcript.pyannote[935].start 6419.24721875
transcript.pyannote[935].end 6419.31471875
transcript.pyannote[936].speaker SPEAKER_03
transcript.pyannote[936].start 6419.41596875
transcript.pyannote[936].end 6419.66909375
transcript.pyannote[937].speaker SPEAKER_03
transcript.pyannote[937].start 6419.97284375
transcript.pyannote[937].end 6420.59721875
transcript.pyannote[938].speaker SPEAKER_03
transcript.pyannote[938].start 6420.96846875
transcript.pyannote[938].end 6429.84471875
transcript.pyannote[939].speaker SPEAKER_00
transcript.pyannote[939].start 6427.80284375
transcript.pyannote[939].end 6428.07284375
transcript.pyannote[940].speaker SPEAKER_04
transcript.pyannote[940].start 6429.99659375
transcript.pyannote[940].end 6432.32534375
transcript.pyannote[941].speaker SPEAKER_03
transcript.pyannote[941].start 6431.81909375
transcript.pyannote[941].end 6434.31659375
transcript.pyannote[942].speaker SPEAKER_04
transcript.pyannote[942].start 6432.93284375
transcript.pyannote[942].end 6434.36721875
transcript.pyannote[943].speaker SPEAKER_03
transcript.pyannote[943].start 6434.36721875
transcript.pyannote[943].end 6436.15596875
transcript.pyannote[944].speaker SPEAKER_04
transcript.pyannote[944].start 6434.63721875
transcript.pyannote[944].end 6436.05471875
transcript.pyannote[945].speaker SPEAKER_03
transcript.pyannote[945].start 6436.78034375
transcript.pyannote[945].end 6441.55596875
transcript.pyannote[946].speaker SPEAKER_05
transcript.pyannote[946].start 6446.06159375
transcript.pyannote[946].end 6446.33159375
transcript.pyannote[947].speaker SPEAKER_02
transcript.pyannote[947].start 6456.27096875
transcript.pyannote[947].end 6457.26659375
transcript.pyannote[948].speaker SPEAKER_03
transcript.pyannote[948].start 6457.65471875
transcript.pyannote[948].end 6458.19471875
transcript.pyannote[949].speaker SPEAKER_02
transcript.pyannote[949].start 6457.78971875
transcript.pyannote[949].end 6458.86971875
transcript.pyannote[950].speaker SPEAKER_11
transcript.pyannote[950].start 6458.86971875
transcript.pyannote[950].end 6458.92034375
transcript.pyannote[951].speaker SPEAKER_04
transcript.pyannote[951].start 6458.92034375
transcript.pyannote[951].end 6458.93721875
transcript.pyannote[952].speaker SPEAKER_02
transcript.pyannote[952].start 6458.97096875
transcript.pyannote[952].end 6459.03846875
transcript.pyannote[953].speaker SPEAKER_04
transcript.pyannote[953].start 6459.07221875
transcript.pyannote[953].end 6459.13971875
transcript.pyannote[954].speaker SPEAKER_02
transcript.pyannote[954].start 6459.13971875
transcript.pyannote[954].end 6459.20721875
transcript.pyannote[955].speaker SPEAKER_03
transcript.pyannote[955].start 6459.91596875
transcript.pyannote[955].end 6462.53159375
transcript.pyannote[956].speaker SPEAKER_11
transcript.pyannote[956].start 6462.53159375
transcript.pyannote[956].end 6462.64971875
transcript.pyannote[957].speaker SPEAKER_11
transcript.pyannote[957].start 6462.85221875
transcript.pyannote[957].end 6463.34159375
transcript.pyannote[958].speaker SPEAKER_11
transcript.pyannote[958].start 6464.26971875
transcript.pyannote[958].end 6464.62409375
transcript.pyannote[959].speaker SPEAKER_03
transcript.pyannote[959].start 6468.48846875
transcript.pyannote[959].end 6470.71596875
transcript.pyannote[960].speaker SPEAKER_04
transcript.pyannote[960].start 6470.58096875
transcript.pyannote[960].end 6470.68221875
transcript.pyannote[961].speaker SPEAKER_04
transcript.pyannote[961].start 6470.71596875
transcript.pyannote[961].end 6476.67284375
transcript.pyannote[962].speaker SPEAKER_03
transcript.pyannote[962].start 6476.67284375
transcript.pyannote[962].end 6478.14096875
transcript.pyannote[963].speaker SPEAKER_04
transcript.pyannote[963].start 6476.85846875
transcript.pyannote[963].end 6476.89221875
transcript.pyannote[964].speaker SPEAKER_04
transcript.pyannote[964].start 6476.90909375
transcript.pyannote[964].end 6482.03909375
transcript.pyannote[965].speaker SPEAKER_04
transcript.pyannote[965].start 6482.30909375
transcript.pyannote[965].end 6484.53659375
transcript.pyannote[966].speaker SPEAKER_04
transcript.pyannote[966].start 6486.73034375
transcript.pyannote[966].end 6487.25346875
transcript.pyannote[967].speaker SPEAKER_03
transcript.pyannote[967].start 6489.36284375
transcript.pyannote[967].end 6489.37971875
transcript.pyannote[968].speaker SPEAKER_04
transcript.pyannote[968].start 6492.04596875
transcript.pyannote[968].end 6492.92346875
transcript.pyannote[969].speaker SPEAKER_04
transcript.pyannote[969].start 6492.95721875
transcript.pyannote[969].end 6493.71659375
transcript.pyannote[970].speaker SPEAKER_04
transcript.pyannote[970].start 6494.91471875
transcript.pyannote[970].end 6496.02846875
transcript.pyannote[971].speaker SPEAKER_04
transcript.pyannote[971].start 6504.97221875
transcript.pyannote[971].end 6513.00471875
transcript.pyannote[972].speaker SPEAKER_04
transcript.pyannote[972].start 6513.34221875
transcript.pyannote[972].end 6513.96659375
transcript.pyannote[973].speaker SPEAKER_04
transcript.pyannote[973].start 6517.56096875
transcript.pyannote[973].end 6518.77596875
transcript.pyannote[974].speaker SPEAKER_04
transcript.pyannote[974].start 6519.43409375
transcript.pyannote[974].end 6521.54346875
transcript.pyannote[975].speaker SPEAKER_03
transcript.pyannote[975].start 6521.13846875
transcript.pyannote[975].end 6525.23909375
transcript.pyannote[976].speaker SPEAKER_02
transcript.pyannote[976].start 6524.10846875
transcript.pyannote[976].end 6524.12534375
transcript.pyannote[977].speaker SPEAKER_04
transcript.pyannote[977].start 6524.12534375
transcript.pyannote[977].end 6527.51721875
transcript.pyannote[978].speaker SPEAKER_03
transcript.pyannote[978].start 6525.47534375
transcript.pyannote[978].end 6525.84659375
transcript.pyannote[979].speaker SPEAKER_03
transcript.pyannote[979].start 6527.04471875
transcript.pyannote[979].end 6529.28909375
transcript.pyannote[980].speaker SPEAKER_02
transcript.pyannote[980].start 6527.51721875
transcript.pyannote[980].end 6527.55096875
transcript.pyannote[981].speaker SPEAKER_03
transcript.pyannote[981].start 6529.39034375
transcript.pyannote[981].end 6529.40721875
transcript.pyannote[982].speaker SPEAKER_03
transcript.pyannote[982].start 6529.42409375
transcript.pyannote[982].end 6532.93409375
transcript.pyannote[983].speaker SPEAKER_03
transcript.pyannote[983].start 6533.23784375
transcript.pyannote[983].end 6540.19034375
transcript.pyannote[984].speaker SPEAKER_00
transcript.pyannote[984].start 6537.47346875
transcript.pyannote[984].end 6539.68409375
transcript.pyannote[985].speaker SPEAKER_04
transcript.pyannote[985].start 6539.68409375
transcript.pyannote[985].end 6539.76846875
transcript.pyannote[986].speaker SPEAKER_00
transcript.pyannote[986].start 6539.76846875
transcript.pyannote[986].end 6539.88659375
transcript.pyannote[987].speaker SPEAKER_04
transcript.pyannote[987].start 6544.52721875
transcript.pyannote[987].end 6545.65784375
transcript.pyannote[988].speaker SPEAKER_04
transcript.pyannote[988].start 6546.48471875
transcript.pyannote[988].end 6547.34534375
transcript.pyannote[989].speaker SPEAKER_03
transcript.pyannote[989].start 6546.55221875
transcript.pyannote[989].end 6546.72096875
transcript.pyannote[990].speaker SPEAKER_03
transcript.pyannote[990].start 6546.80534375
transcript.pyannote[990].end 6548.40846875
transcript.pyannote[991].speaker SPEAKER_04
transcript.pyannote[991].start 6548.40846875
transcript.pyannote[991].end 6548.42534375
transcript.pyannote[992].speaker SPEAKER_03
transcript.pyannote[992].start 6548.42534375
transcript.pyannote[992].end 6548.49284375
transcript.pyannote[993].speaker SPEAKER_04
transcript.pyannote[993].start 6548.45909375
transcript.pyannote[993].end 6548.99909375
transcript.pyannote[994].speaker SPEAKER_03
transcript.pyannote[994].start 6548.99909375
transcript.pyannote[994].end 6552.13784375
transcript.pyannote[995].speaker SPEAKER_04
transcript.pyannote[995].start 6552.13784375
transcript.pyannote[995].end 6552.35721875
transcript.pyannote[996].speaker SPEAKER_03
transcript.pyannote[996].start 6552.35721875
transcript.pyannote[996].end 6552.37409375
transcript.pyannote[997].speaker SPEAKER_04
transcript.pyannote[997].start 6552.37409375
transcript.pyannote[997].end 6552.40784375
transcript.pyannote[998].speaker SPEAKER_03
transcript.pyannote[998].start 6552.40784375
transcript.pyannote[998].end 6552.96471875
transcript.pyannote[999].speaker SPEAKER_04
transcript.pyannote[999].start 6555.24284375
transcript.pyannote[999].end 6557.30159375
transcript.pyannote[1000].speaker SPEAKER_03
transcript.pyannote[1000].start 6557.30159375
transcript.pyannote[1000].end 6557.40284375
transcript.pyannote[1001].speaker SPEAKER_03
transcript.pyannote[1001].start 6557.63909375
transcript.pyannote[1001].end 6559.27596875
transcript.pyannote[1002].speaker SPEAKER_03
transcript.pyannote[1002].start 6559.86659375
transcript.pyannote[1002].end 6562.66784375
transcript.pyannote[1003].speaker SPEAKER_03
transcript.pyannote[1003].start 6563.10659375
transcript.pyannote[1003].end 6563.24159375
transcript.pyannote[1004].speaker SPEAKER_03
transcript.pyannote[1004].start 6563.27534375
transcript.pyannote[1004].end 6563.39346875
transcript.pyannote[1005].speaker SPEAKER_03
transcript.pyannote[1005].start 6563.61284375
transcript.pyannote[1005].end 6563.62971875
transcript.pyannote[1006].speaker SPEAKER_03
transcript.pyannote[1006].start 6563.64659375
transcript.pyannote[1006].end 6564.18659375
transcript.pyannote[1007].speaker SPEAKER_03
transcript.pyannote[1007].start 6565.11471875
transcript.pyannote[1007].end 6567.05534375
transcript.pyannote[1008].speaker SPEAKER_03
transcript.pyannote[1008].start 6568.60784375
transcript.pyannote[1008].end 6569.09721875
transcript.pyannote[1009].speaker SPEAKER_00
transcript.pyannote[1009].start 6574.17659375
transcript.pyannote[1009].end 6575.50971875
transcript.pyannote[1010].speaker SPEAKER_11
transcript.pyannote[1010].start 6575.77971875
transcript.pyannote[1010].end 6578.96909375
transcript.pyannote[1011].speaker SPEAKER_03
transcript.pyannote[1011].start 6578.96909375
transcript.pyannote[1011].end 6593.02596875
transcript.pyannote[1012].speaker SPEAKER_00
transcript.pyannote[1012].start 6579.37409375
transcript.pyannote[1012].end 6579.54284375
transcript.pyannote[1013].speaker SPEAKER_18
transcript.pyannote[1013].start 6582.05721875
transcript.pyannote[1013].end 6582.31034375
transcript.pyannote[1014].speaker SPEAKER_03
transcript.pyannote[1014].start 6628.98659375
transcript.pyannote[1014].end 6630.91034375
transcript.pyannote[1015].speaker SPEAKER_03
transcript.pyannote[1015].start 6631.19721875
transcript.pyannote[1015].end 6632.96909375
transcript.pyannote[1016].speaker SPEAKER_03
transcript.pyannote[1016].start 6633.35721875
transcript.pyannote[1016].end 6633.62721875
transcript.pyannote[1017].speaker SPEAKER_03
transcript.pyannote[1017].start 6633.76221875
transcript.pyannote[1017].end 6634.99409375
transcript.pyannote[1018].speaker SPEAKER_03
transcript.pyannote[1018].start 6635.50034375
transcript.pyannote[1018].end 6638.92596875
transcript.pyannote[1019].speaker SPEAKER_03
transcript.pyannote[1019].start 6639.16221875
transcript.pyannote[1019].end 6641.10284375
transcript.pyannote[1020].speaker SPEAKER_03
transcript.pyannote[1020].start 6641.38971875
transcript.pyannote[1020].end 6643.02659375
transcript.pyannote[1021].speaker SPEAKER_03
transcript.pyannote[1021].start 6648.03846875
transcript.pyannote[1021].end 6648.12284375
transcript.pyannote[1022].speaker SPEAKER_03
transcript.pyannote[1022].start 6649.21971875
transcript.pyannote[1022].end 6649.57409375
transcript.pyannote[1023].speaker SPEAKER_03
transcript.pyannote[1023].start 6649.59096875
transcript.pyannote[1023].end 6649.91159375
transcript.pyannote[1024].speaker SPEAKER_03
transcript.pyannote[1024].start 6688.75784375
transcript.pyannote[1024].end 6689.02784375
transcript.pyannote[1025].speaker SPEAKER_03
transcript.pyannote[1025].start 6710.96534375
transcript.pyannote[1025].end 6711.42096875
transcript.pyannote[1026].speaker SPEAKER_03
transcript.pyannote[1026].start 6711.87659375
transcript.pyannote[1026].end 6717.02346875
transcript.pyannote[1027].speaker SPEAKER_11
transcript.pyannote[1027].start 6712.11284375
transcript.pyannote[1027].end 6713.88471875
transcript.pyannote[1028].speaker SPEAKER_04
transcript.pyannote[1028].start 6725.30909375
transcript.pyannote[1028].end 6726.81096875
transcript.pyannote[1029].speaker SPEAKER_04
transcript.pyannote[1029].start 6726.96284375
transcript.pyannote[1029].end 6727.36784375
transcript.pyannote[1030].speaker SPEAKER_04
transcript.pyannote[1030].start 6727.90784375
transcript.pyannote[1030].end 6729.93284375
transcript.pyannote[1031].speaker SPEAKER_04
transcript.pyannote[1031].start 6729.96659375
transcript.pyannote[1031].end 6730.03409375
transcript.pyannote[1032].speaker SPEAKER_05
transcript.pyannote[1032].start 6748.57971875
transcript.pyannote[1032].end 6749.79471875
transcript.pyannote[1033].speaker SPEAKER_11
transcript.pyannote[1033].start 6752.00534375
transcript.pyannote[1033].end 6754.62096875
transcript.pyannote[1034].speaker SPEAKER_03
transcript.pyannote[1034].start 6755.26221875
transcript.pyannote[1034].end 6755.46471875
transcript.pyannote[1035].speaker SPEAKER_03
transcript.pyannote[1035].start 6755.95409375
transcript.pyannote[1035].end 6759.09284375
transcript.pyannote[1036].speaker SPEAKER_03
transcript.pyannote[1036].start 6760.17284375
transcript.pyannote[1036].end 6763.02471875
transcript.pyannote[1037].speaker SPEAKER_03
transcript.pyannote[1037].start 6763.81784375
transcript.pyannote[1037].end 6764.03721875
transcript.pyannote[1038].speaker SPEAKER_03
transcript.pyannote[1038].start 6774.97221875
transcript.pyannote[1038].end 6775.81596875
transcript.pyannote[1039].speaker SPEAKER_03
transcript.pyannote[1039].start 6776.64284375
transcript.pyannote[1039].end 6777.13221875
transcript.pyannote[1040].speaker SPEAKER_03
transcript.pyannote[1040].start 6777.73971875
transcript.pyannote[1040].end 6778.12784375
transcript.pyannote[1041].speaker SPEAKER_03
transcript.pyannote[1041].start 6779.83221875
transcript.pyannote[1041].end 6782.46471875
transcript.pyannote[1042].speaker SPEAKER_05
transcript.pyannote[1042].start 6788.97846875
transcript.pyannote[1042].end 6789.58596875
transcript.pyannote[1043].speaker SPEAKER_03
transcript.pyannote[1043].start 6789.97409375
transcript.pyannote[1043].end 6790.05846875
transcript.pyannote[1044].speaker SPEAKER_03
transcript.pyannote[1044].start 6791.88096875
transcript.pyannote[1044].end 6797.02784375
transcript.pyannote[1045].speaker SPEAKER_03
transcript.pyannote[1045].start 6799.33971875
transcript.pyannote[1045].end 6800.80784375
transcript.pyannote[1046].speaker SPEAKER_11
transcript.pyannote[1046].start 6827.43659375
transcript.pyannote[1046].end 6829.19159375
transcript.pyannote[1047].speaker SPEAKER_11
transcript.pyannote[1047].start 6831.03096875
transcript.pyannote[1047].end 6834.06846875
transcript.pyannote[1048].speaker SPEAKER_02
transcript.pyannote[1048].start 6849.18846875
transcript.pyannote[1048].end 6849.96471875
transcript.pyannote[1049].speaker SPEAKER_04
transcript.pyannote[1049].start 6849.96471875
transcript.pyannote[1049].end 6850.03221875
transcript.pyannote[1050].speaker SPEAKER_04
transcript.pyannote[1050].start 6857.96346875
transcript.pyannote[1050].end 6858.26721875
transcript.pyannote[1051].speaker SPEAKER_04
transcript.pyannote[1051].start 6858.85784375
transcript.pyannote[1051].end 6861.16971875
transcript.pyannote[1052].speaker SPEAKER_04
transcript.pyannote[1052].start 6861.18659375
transcript.pyannote[1052].end 6861.20346875
transcript.pyannote[1053].speaker SPEAKER_03
transcript.pyannote[1053].start 6861.96284375
transcript.pyannote[1053].end 6862.41846875
transcript.pyannote[1054].speaker SPEAKER_04
transcript.pyannote[1054].start 6862.65471875
transcript.pyannote[1054].end 6866.65409375
transcript.pyannote[1055].speaker SPEAKER_03
transcript.pyannote[1055].start 6867.91971875
transcript.pyannote[1055].end 6870.06284375
transcript.pyannote[1056].speaker SPEAKER_03
transcript.pyannote[1056].start 6870.46784375
transcript.pyannote[1056].end 6870.85596875
transcript.pyannote[1057].speaker SPEAKER_03
transcript.pyannote[1057].start 6871.42971875
transcript.pyannote[1057].end 6873.03284375
transcript.pyannote[1058].speaker SPEAKER_03
transcript.pyannote[1058].start 6873.53909375
transcript.pyannote[1058].end 6873.69096875
transcript.pyannote[1059].speaker SPEAKER_03
transcript.pyannote[1059].start 6873.70784375
transcript.pyannote[1059].end 6873.74159375
transcript.pyannote[1060].speaker SPEAKER_03
transcript.pyannote[1060].start 6878.83784375
transcript.pyannote[1060].end 6878.95596875
transcript.pyannote[1061].speaker SPEAKER_00
transcript.pyannote[1061].start 6878.95596875
transcript.pyannote[1061].end 6879.61409375
transcript.pyannote[1062].speaker SPEAKER_00
transcript.pyannote[1062].start 6882.66846875
transcript.pyannote[1062].end 6882.87096875
transcript.pyannote[1063].speaker SPEAKER_03
transcript.pyannote[1063].start 6903.39096875
transcript.pyannote[1063].end 6904.04909375
transcript.pyannote[1064].speaker SPEAKER_03
transcript.pyannote[1064].start 6904.97721875
transcript.pyannote[1064].end 6905.07846875
transcript.pyannote[1065].speaker SPEAKER_04
transcript.pyannote[1065].start 6905.07846875
transcript.pyannote[1065].end 6905.44971875
transcript.pyannote[1066].speaker SPEAKER_03
transcript.pyannote[1066].start 6906.47909375
transcript.pyannote[1066].end 6908.45346875
transcript.pyannote[1067].speaker SPEAKER_04
transcript.pyannote[1067].start 6910.29284375
transcript.pyannote[1067].end 6912.41909375
transcript.pyannote[1068].speaker SPEAKER_03
transcript.pyannote[1068].start 6913.00971875
transcript.pyannote[1068].end 6913.11096875
transcript.pyannote[1069].speaker SPEAKER_00
transcript.pyannote[1069].start 6913.11096875
transcript.pyannote[1069].end 6913.85346875
transcript.pyannote[1070].speaker SPEAKER_03
transcript.pyannote[1070].start 6913.85346875
transcript.pyannote[1070].end 6913.90409375
transcript.pyannote[1071].speaker SPEAKER_04
transcript.pyannote[1071].start 6921.00846875
transcript.pyannote[1071].end 6924.24846875
transcript.pyannote[1072].speaker SPEAKER_03
transcript.pyannote[1072].start 6921.16034375
transcript.pyannote[1072].end 6921.41346875
transcript.pyannote[1073].speaker SPEAKER_04
transcript.pyannote[1073].start 6924.29909375
transcript.pyannote[1073].end 6924.31596875
transcript.pyannote[1074].speaker SPEAKER_03
transcript.pyannote[1074].start 6924.31596875
transcript.pyannote[1074].end 6929.24346875
transcript.pyannote[1075].speaker SPEAKER_04
transcript.pyannote[1075].start 6930.66096875
transcript.pyannote[1075].end 6931.65659375
transcript.pyannote[1076].speaker SPEAKER_04
transcript.pyannote[1076].start 6933.15846875
transcript.pyannote[1076].end 6934.55909375
transcript.pyannote[1077].speaker SPEAKER_03
transcript.pyannote[1077].start 6946.82721875
transcript.pyannote[1077].end 6947.02971875
transcript.pyannote[1078].speaker SPEAKER_02
transcript.pyannote[1078].start 6949.32471875
transcript.pyannote[1078].end 6949.49346875
transcript.pyannote[1079].speaker SPEAKER_03
transcript.pyannote[1079].start 6949.51034375
transcript.pyannote[1079].end 6949.78034375
transcript.pyannote[1080].speaker SPEAKER_04
transcript.pyannote[1080].start 6958.35284375
transcript.pyannote[1080].end 6960.39471875
transcript.pyannote[1081].speaker SPEAKER_04
transcript.pyannote[1081].start 6961.33971875
transcript.pyannote[1081].end 6962.38596875
transcript.pyannote[1082].speaker SPEAKER_04
transcript.pyannote[1082].start 6962.60534375
transcript.pyannote[1082].end 6962.74034375
transcript.pyannote[1083].speaker SPEAKER_04
transcript.pyannote[1083].start 6966.87471875
transcript.pyannote[1083].end 6967.71846875
transcript.pyannote[1084].speaker SPEAKER_03
transcript.pyannote[1084].start 6967.71846875
transcript.pyannote[1084].end 6967.87034375
transcript.pyannote[1085].speaker SPEAKER_04
transcript.pyannote[1085].start 6969.97971875
transcript.pyannote[1085].end 6971.76846875
transcript.pyannote[1086].speaker SPEAKER_04
transcript.pyannote[1086].start 6972.59534375
transcript.pyannote[1086].end 6973.86096875
transcript.pyannote[1087].speaker SPEAKER_04
transcript.pyannote[1087].start 6974.51909375
transcript.pyannote[1087].end 6977.05034375
transcript.pyannote[1088].speaker SPEAKER_04
transcript.pyannote[1088].start 6977.16846875
transcript.pyannote[1088].end 6977.42159375
transcript.pyannote[1089].speaker SPEAKER_04
transcript.pyannote[1089].start 6978.82221875
transcript.pyannote[1089].end 6981.42096875
transcript.pyannote[1090].speaker SPEAKER_03
transcript.pyannote[1090].start 6984.55971875
transcript.pyannote[1090].end 6988.60971875
transcript.pyannote[1091].speaker SPEAKER_04
transcript.pyannote[1091].start 6988.60971875
transcript.pyannote[1091].end 6992.91284375
transcript.pyannote[1092].speaker SPEAKER_03
transcript.pyannote[1092].start 6988.64346875
transcript.pyannote[1092].end 6990.97221875
transcript.pyannote[1093].speaker SPEAKER_03
transcript.pyannote[1093].start 6991.02284375
transcript.pyannote[1093].end 6991.78221875
transcript.pyannote[1094].speaker SPEAKER_03
transcript.pyannote[1094].start 6992.06909375
transcript.pyannote[1094].end 6992.20409375
transcript.pyannote[1095].speaker SPEAKER_03
transcript.pyannote[1095].start 6992.25471875
transcript.pyannote[1095].end 6998.95409375
transcript.pyannote[1096].speaker SPEAKER_03
transcript.pyannote[1096].start 6998.97096875
transcript.pyannote[1096].end 6999.02159375
transcript.pyannote[1097].speaker SPEAKER_04
transcript.pyannote[1097].start 6999.30846875
transcript.pyannote[1097].end 7005.38346875
transcript.pyannote[1098].speaker SPEAKER_04
transcript.pyannote[1098].start 7005.41721875
transcript.pyannote[1098].end 7005.43409375
transcript.pyannote[1099].speaker SPEAKER_03
transcript.pyannote[1099].start 7005.45096875
transcript.pyannote[1099].end 7006.32846875
transcript.pyannote[1100].speaker SPEAKER_04
transcript.pyannote[1100].start 7006.32846875
transcript.pyannote[1100].end 7027.69221875
transcript.pyannote[1101].speaker SPEAKER_03
transcript.pyannote[1101].start 7006.78409375
transcript.pyannote[1101].end 7007.52659375
transcript.pyannote[1102].speaker SPEAKER_05
transcript.pyannote[1102].start 7013.70284375
transcript.pyannote[1102].end 7013.97284375
transcript.pyannote[1103].speaker SPEAKER_04
transcript.pyannote[1103].start 7036.66971875
transcript.pyannote[1103].end 7040.53409375
transcript.pyannote[1104].speaker SPEAKER_04
transcript.pyannote[1104].start 7041.36096875
transcript.pyannote[1104].end 7041.69846875
transcript.pyannote[1105].speaker SPEAKER_00
transcript.pyannote[1105].start 7049.66346875
transcript.pyannote[1105].end 7050.05159375
transcript.pyannote[1106].speaker SPEAKER_04
transcript.pyannote[1106].start 7053.05534375
transcript.pyannote[1106].end 7053.49409375
transcript.pyannote[1107].speaker SPEAKER_04
transcript.pyannote[1107].start 7054.81034375
transcript.pyannote[1107].end 7054.87784375
transcript.pyannote[1108].speaker SPEAKER_04
transcript.pyannote[1108].start 7066.40346875
transcript.pyannote[1108].end 7068.09096875
transcript.pyannote[1109].speaker SPEAKER_03
transcript.pyannote[1109].start 7068.25971875
transcript.pyannote[1109].end 7072.24221875
transcript.pyannote[1110].speaker SPEAKER_03
transcript.pyannote[1110].start 7072.63034375
transcript.pyannote[1110].end 7075.02659375
transcript.pyannote[1111].speaker SPEAKER_04
transcript.pyannote[1111].start 7075.22909375
transcript.pyannote[1111].end 7075.98846875
transcript.pyannote[1112].speaker SPEAKER_03
transcript.pyannote[1112].start 7075.98846875
transcript.pyannote[1112].end 7079.02596875
transcript.pyannote[1113].speaker SPEAKER_03
transcript.pyannote[1113].start 7079.05971875
transcript.pyannote[1113].end 7080.37596875
transcript.pyannote[1114].speaker SPEAKER_03
transcript.pyannote[1114].start 7082.83971875
transcript.pyannote[1114].end 7084.13909375
transcript.pyannote[1115].speaker SPEAKER_03
transcript.pyannote[1115].start 7084.34159375
transcript.pyannote[1115].end 7086.04596875
transcript.pyannote[1116].speaker SPEAKER_03
transcript.pyannote[1116].start 7086.38346875
transcript.pyannote[1116].end 7088.12159375
transcript.pyannote[1117].speaker SPEAKER_03
transcript.pyannote[1117].start 7088.88096875
transcript.pyannote[1117].end 7090.01159375
transcript.pyannote[1118].speaker SPEAKER_04
transcript.pyannote[1118].start 7092.91409375
transcript.pyannote[1118].end 7097.45346875
transcript.pyannote[1119].speaker SPEAKER_03
transcript.pyannote[1119].start 7097.45346875
transcript.pyannote[1119].end 7099.00596875
transcript.pyannote[1120].speaker SPEAKER_04
transcript.pyannote[1120].start 7098.48284375
transcript.pyannote[1120].end 7099.78221875
transcript.pyannote[1121].speaker SPEAKER_03
transcript.pyannote[1121].start 7100.00159375
transcript.pyannote[1121].end 7100.10284375
transcript.pyannote[1122].speaker SPEAKER_00
transcript.pyannote[1122].start 7100.10284375
transcript.pyannote[1122].end 7101.55409375
transcript.pyannote[1123].speaker SPEAKER_03
transcript.pyannote[1123].start 7100.67659375
transcript.pyannote[1123].end 7100.87909375
transcript.pyannote[1124].speaker SPEAKER_04
transcript.pyannote[1124].start 7101.28409375
transcript.pyannote[1124].end 7102.54971875
transcript.pyannote[1125].speaker SPEAKER_03
transcript.pyannote[1125].start 7101.55409375
transcript.pyannote[1125].end 7101.79034375
transcript.pyannote[1126].speaker SPEAKER_04
transcript.pyannote[1126].start 7102.83659375
transcript.pyannote[1126].end 7104.40596875
transcript.pyannote[1127].speaker SPEAKER_04
transcript.pyannote[1127].start 7105.43534375
transcript.pyannote[1127].end 7105.87409375
transcript.pyannote[1128].speaker SPEAKER_04
transcript.pyannote[1128].start 7109.35034375
transcript.pyannote[1128].end 7115.03721875
transcript.pyannote[1129].speaker SPEAKER_03
transcript.pyannote[1129].start 7117.97346875
transcript.pyannote[1129].end 7118.02409375
transcript.pyannote[1130].speaker SPEAKER_03
transcript.pyannote[1130].start 7120.82534375
transcript.pyannote[1130].end 7121.02784375
transcript.pyannote[1131].speaker SPEAKER_04
transcript.pyannote[1131].start 7124.62221875
transcript.pyannote[1131].end 7125.49971875
transcript.pyannote[1132].speaker SPEAKER_04
transcript.pyannote[1132].start 7126.52909375
transcript.pyannote[1132].end 7129.19534375
transcript.pyannote[1133].speaker SPEAKER_04
transcript.pyannote[1133].start 7130.20784375
transcript.pyannote[1133].end 7134.94971875
transcript.pyannote[1134].speaker SPEAKER_04
transcript.pyannote[1134].start 7134.96659375
transcript.pyannote[1134].end 7135.03409375
transcript.pyannote[1135].speaker SPEAKER_04
transcript.pyannote[1135].start 7135.64159375
transcript.pyannote[1135].end 7141.19346875
transcript.pyannote[1136].speaker SPEAKER_03
transcript.pyannote[1136].start 7145.96909375
transcript.pyannote[1136].end 7147.03221875
transcript.pyannote[1137].speaker SPEAKER_03
transcript.pyannote[1137].start 7148.01096875
transcript.pyannote[1137].end 7148.88846875
transcript.pyannote[1138].speaker SPEAKER_03
transcript.pyannote[1138].start 7148.97284375
transcript.pyannote[1138].end 7149.02346875
transcript.pyannote[1139].speaker SPEAKER_02
transcript.pyannote[1139].start 7150.08659375
transcript.pyannote[1139].end 7150.44096875
transcript.pyannote[1140].speaker SPEAKER_02
transcript.pyannote[1140].start 7151.06534375
transcript.pyannote[1140].end 7151.08221875
transcript.pyannote[1141].speaker SPEAKER_03
transcript.pyannote[1141].start 7151.08221875
transcript.pyannote[1141].end 7152.58409375
transcript.pyannote[1142].speaker SPEAKER_02
transcript.pyannote[1142].start 7151.11596875
transcript.pyannote[1142].end 7152.17909375
transcript.pyannote[1143].speaker SPEAKER_02
transcript.pyannote[1143].start 7152.58409375
transcript.pyannote[1143].end 7155.08159375
transcript.pyannote[1144].speaker SPEAKER_03
transcript.pyannote[1144].start 7152.65159375
transcript.pyannote[1144].end 7152.78659375
transcript.pyannote[1145].speaker SPEAKER_02
transcript.pyannote[1145].start 7155.48659375
transcript.pyannote[1145].end 7158.43971875
transcript.pyannote[1146].speaker SPEAKER_03
transcript.pyannote[1146].start 7159.97534375
transcript.pyannote[1146].end 7163.41784375
transcript.pyannote[1147].speaker SPEAKER_03
transcript.pyannote[1147].start 7164.53159375
transcript.pyannote[1147].end 7165.03784375
transcript.pyannote[1148].speaker SPEAKER_04
transcript.pyannote[1148].start 7165.67909375
transcript.pyannote[1148].end 7165.81409375
transcript.pyannote[1149].speaker SPEAKER_04
transcript.pyannote[1149].start 7168.12596875
transcript.pyannote[1149].end 7168.14284375
transcript.pyannote[1150].speaker SPEAKER_03
transcript.pyannote[1150].start 7168.14284375
transcript.pyannote[1150].end 7169.86409375
transcript.pyannote[1151].speaker SPEAKER_04
transcript.pyannote[1151].start 7168.39596875
transcript.pyannote[1151].end 7168.81784375
transcript.pyannote[1152].speaker SPEAKER_04
transcript.pyannote[1152].start 7169.86409375
transcript.pyannote[1152].end 7174.77471875
transcript.pyannote[1153].speaker SPEAKER_03
transcript.pyannote[1153].start 7174.77471875
transcript.pyannote[1153].end 7178.94284375
transcript.pyannote[1154].speaker SPEAKER_04
transcript.pyannote[1154].start 7179.68534375
transcript.pyannote[1154].end 7181.76096875
transcript.pyannote[1155].speaker SPEAKER_04
transcript.pyannote[1155].start 7182.70596875
transcript.pyannote[1155].end 7182.72284375
transcript.pyannote[1156].speaker SPEAKER_03
transcript.pyannote[1156].start 7182.72284375
transcript.pyannote[1156].end 7184.19096875
transcript.pyannote[1157].speaker SPEAKER_04
transcript.pyannote[1157].start 7185.67596875
transcript.pyannote[1157].end 7185.69284375
transcript.pyannote[1158].speaker SPEAKER_03
transcript.pyannote[1158].start 7185.69284375
transcript.pyannote[1158].end 7185.91221875
transcript.pyannote[1159].speaker SPEAKER_04
transcript.pyannote[1159].start 7185.91221875
transcript.pyannote[1159].end 7187.59971875
transcript.pyannote[1160].speaker SPEAKER_04
transcript.pyannote[1160].start 7188.71346875
transcript.pyannote[1160].end 7192.51034375
transcript.pyannote[1161].speaker SPEAKER_04
transcript.pyannote[1161].start 7192.99971875
transcript.pyannote[1161].end 7193.94471875
transcript.pyannote[1162].speaker SPEAKER_04
transcript.pyannote[1162].start 7194.73784375
transcript.pyannote[1162].end 7195.51409375
transcript.pyannote[1163].speaker SPEAKER_03
transcript.pyannote[1163].start 7200.30659375
transcript.pyannote[1163].end 7200.71159375
transcript.pyannote[1164].speaker SPEAKER_03
transcript.pyannote[1164].start 7200.96471875
transcript.pyannote[1164].end 7201.03221875
transcript.pyannote[1165].speaker SPEAKER_04
transcript.pyannote[1165].start 7203.29346875
transcript.pyannote[1165].end 7203.79971875
transcript.pyannote[1166].speaker SPEAKER_03
transcript.pyannote[1166].start 7204.08659375
transcript.pyannote[1166].end 7206.09471875
transcript.pyannote[1167].speaker SPEAKER_03
transcript.pyannote[1167].start 7213.41846875
transcript.pyannote[1167].end 7213.62096875
transcript.pyannote[1168].speaker SPEAKER_03
transcript.pyannote[1168].start 7213.89096875
transcript.pyannote[1168].end 7214.48159375
transcript.pyannote[1169].speaker SPEAKER_11
transcript.pyannote[1169].start 7215.71346875
transcript.pyannote[1169].end 7219.84784375
transcript.pyannote[1170].speaker SPEAKER_03
transcript.pyannote[1170].start 7220.16846875
transcript.pyannote[1170].end 7223.44221875
transcript.pyannote[1171].speaker SPEAKER_11
transcript.pyannote[1171].start 7223.44221875
transcript.pyannote[1171].end 7223.52659375
transcript.pyannote[1172].speaker SPEAKER_03
transcript.pyannote[1172].start 7223.52659375
transcript.pyannote[1172].end 7223.59409375
transcript.pyannote[1173].speaker SPEAKER_11
transcript.pyannote[1173].start 7224.08346875
transcript.pyannote[1173].end 7225.58534375
transcript.pyannote[1174].speaker SPEAKER_03
transcript.pyannote[1174].start 7224.30284375
transcript.pyannote[1174].end 7224.37034375
transcript.pyannote[1175].speaker SPEAKER_11
transcript.pyannote[1175].start 7226.98596875
transcript.pyannote[1175].end 7227.17159375
transcript.pyannote[1176].speaker SPEAKER_04
transcript.pyannote[1176].start 7227.17159375
transcript.pyannote[1176].end 7227.20534375
transcript.pyannote[1177].speaker SPEAKER_11
transcript.pyannote[1177].start 7227.20534375
transcript.pyannote[1177].end 7227.30659375
transcript.pyannote[1178].speaker SPEAKER_04
transcript.pyannote[1178].start 7227.30659375
transcript.pyannote[1178].end 7227.37409375
transcript.pyannote[1179].speaker SPEAKER_11
transcript.pyannote[1179].start 7227.37409375
transcript.pyannote[1179].end 7227.77909375
transcript.pyannote[1180].speaker SPEAKER_04
transcript.pyannote[1180].start 7227.77909375
transcript.pyannote[1180].end 7228.79159375
transcript.pyannote[1181].speaker SPEAKER_11
transcript.pyannote[1181].start 7228.67346875
transcript.pyannote[1181].end 7229.68596875
transcript.pyannote[1182].speaker SPEAKER_03
transcript.pyannote[1182].start 7228.79159375
transcript.pyannote[1182].end 7228.97721875
transcript.pyannote[1183].speaker SPEAKER_04
transcript.pyannote[1183].start 7228.97721875
transcript.pyannote[1183].end 7234.36034375
transcript.pyannote[1184].speaker SPEAKER_04
transcript.pyannote[1184].start 7234.59659375
transcript.pyannote[1184].end 7234.63034375
transcript.pyannote[1185].speaker SPEAKER_03
transcript.pyannote[1185].start 7234.63034375
transcript.pyannote[1185].end 7238.52846875
transcript.pyannote[1186].speaker SPEAKER_03
transcript.pyannote[1186].start 7238.83221875
transcript.pyannote[1186].end 7238.88284375
transcript.pyannote[1187].speaker SPEAKER_04
transcript.pyannote[1187].start 7238.88284375
transcript.pyannote[1187].end 7239.05159375
transcript.pyannote[1188].speaker SPEAKER_03
transcript.pyannote[1188].start 7239.05159375
transcript.pyannote[1188].end 7239.33846875
transcript.pyannote[1189].speaker SPEAKER_03
transcript.pyannote[1189].start 7239.96284375
transcript.pyannote[1189].end 7241.83596875
transcript.pyannote[1190].speaker SPEAKER_04
transcript.pyannote[1190].start 7249.71659375
transcript.pyannote[1190].end 7250.77971875
transcript.pyannote[1191].speaker SPEAKER_04
transcript.pyannote[1191].start 7251.01596875
transcript.pyannote[1191].end 7251.04971875
transcript.pyannote[1192].speaker SPEAKER_04
transcript.pyannote[1192].start 7251.57284375
transcript.pyannote[1192].end 7252.78784375
transcript.pyannote[1193].speaker SPEAKER_03
transcript.pyannote[1193].start 7253.36159375
transcript.pyannote[1193].end 7253.63159375
transcript.pyannote[1194].speaker SPEAKER_03
transcript.pyannote[1194].start 7257.00659375
transcript.pyannote[1194].end 7257.05721875
transcript.pyannote[1195].speaker SPEAKER_03
transcript.pyannote[1195].start 7257.12471875
transcript.pyannote[1195].end 7258.33971875
transcript.pyannote[1196].speaker SPEAKER_04
transcript.pyannote[1196].start 7259.23409375
transcript.pyannote[1196].end 7259.92596875
transcript.pyannote[1197].speaker SPEAKER_04
transcript.pyannote[1197].start 7259.97659375
transcript.pyannote[1197].end 7260.02721875
transcript.pyannote[1198].speaker SPEAKER_03
transcript.pyannote[1198].start 7260.02721875
transcript.pyannote[1198].end 7264.68471875
transcript.pyannote[1199].speaker SPEAKER_04
transcript.pyannote[1199].start 7263.03096875
transcript.pyannote[1199].end 7263.67221875
transcript.pyannote[1200].speaker SPEAKER_04
transcript.pyannote[1200].start 7264.92096875
transcript.pyannote[1200].end 7266.77721875
transcript.pyannote[1201].speaker SPEAKER_03
transcript.pyannote[1201].start 7265.03909375
transcript.pyannote[1201].end 7265.44409375
transcript.pyannote[1202].speaker SPEAKER_03
transcript.pyannote[1202].start 7266.77721875
transcript.pyannote[1202].end 7266.96284375
transcript.pyannote[1203].speaker SPEAKER_04
transcript.pyannote[1203].start 7266.96284375
transcript.pyannote[1203].end 7266.99659375
transcript.pyannote[1204].speaker SPEAKER_05
transcript.pyannote[1204].start 7266.99659375
transcript.pyannote[1204].end 7267.01346875
transcript.pyannote[1205].speaker SPEAKER_03
transcript.pyannote[1205].start 7267.01346875
transcript.pyannote[1205].end 7267.03034375
transcript.pyannote[1206].speaker SPEAKER_04
transcript.pyannote[1206].start 7267.03034375
transcript.pyannote[1206].end 7267.04721875
transcript.pyannote[1207].speaker SPEAKER_03
transcript.pyannote[1207].start 7267.04721875
transcript.pyannote[1207].end 7267.08096875
transcript.pyannote[1208].speaker SPEAKER_05
transcript.pyannote[1208].start 7267.08096875
transcript.pyannote[1208].end 7267.09784375
transcript.pyannote[1209].speaker SPEAKER_03
transcript.pyannote[1209].start 7267.09784375
transcript.pyannote[1209].end 7267.11471875
transcript.pyannote[1210].speaker SPEAKER_05
transcript.pyannote[1210].start 7267.11471875
transcript.pyannote[1210].end 7267.24971875
transcript.pyannote[1211].speaker SPEAKER_04
transcript.pyannote[1211].start 7267.24971875
transcript.pyannote[1211].end 7270.08471875
transcript.pyannote[1212].speaker SPEAKER_03
transcript.pyannote[1212].start 7267.26659375
transcript.pyannote[1212].end 7268.16096875
transcript.pyannote[1213].speaker SPEAKER_05
transcript.pyannote[1213].start 7268.16096875
transcript.pyannote[1213].end 7269.13971875
transcript.pyannote[1214].speaker SPEAKER_05
transcript.pyannote[1214].start 7270.08471875
transcript.pyannote[1214].end 7270.30409375
transcript.pyannote[1215].speaker SPEAKER_04
transcript.pyannote[1215].start 7270.30409375
transcript.pyannote[1215].end 7278.03284375
transcript.pyannote[1216].speaker SPEAKER_05
transcript.pyannote[1216].start 7270.35471875
transcript.pyannote[1216].end 7270.43909375
transcript.pyannote[1217].speaker SPEAKER_05
transcript.pyannote[1217].start 7272.56534375
transcript.pyannote[1217].end 7272.58221875
transcript.pyannote[1218].speaker SPEAKER_05
transcript.pyannote[1218].start 7272.59909375
transcript.pyannote[1218].end 7272.90284375
transcript.pyannote[1219].speaker SPEAKER_03
transcript.pyannote[1219].start 7273.24034375
transcript.pyannote[1219].end 7273.35846875
transcript.pyannote[1220].speaker SPEAKER_03
transcript.pyannote[1220].start 7273.37534375
transcript.pyannote[1220].end 7273.47659375
transcript.pyannote[1221].speaker SPEAKER_05
transcript.pyannote[1221].start 7273.47659375
transcript.pyannote[1221].end 7273.76346875
transcript.pyannote[1222].speaker SPEAKER_03
transcript.pyannote[1222].start 7273.76346875
transcript.pyannote[1222].end 7274.32034375
transcript.pyannote[1223].speaker SPEAKER_05
transcript.pyannote[1223].start 7274.32034375
transcript.pyannote[1223].end 7274.35409375
transcript.pyannote[1224].speaker SPEAKER_11
transcript.pyannote[1224].start 7277.00346875
transcript.pyannote[1224].end 7277.02034375
transcript.pyannote[1225].speaker SPEAKER_03
transcript.pyannote[1225].start 7277.02034375
transcript.pyannote[1225].end 7277.03721875
transcript.pyannote[1226].speaker SPEAKER_11
transcript.pyannote[1226].start 7277.03721875
transcript.pyannote[1226].end 7277.07096875
transcript.pyannote[1227].speaker SPEAKER_03
transcript.pyannote[1227].start 7277.07096875
transcript.pyannote[1227].end 7278.11721875
transcript.pyannote[1228].speaker SPEAKER_11
transcript.pyannote[1228].start 7278.03284375
transcript.pyannote[1228].end 7279.39971875
transcript.pyannote[1229].speaker SPEAKER_04
transcript.pyannote[1229].start 7278.11721875
transcript.pyannote[1229].end 7278.18471875
transcript.pyannote[1230].speaker SPEAKER_03
transcript.pyannote[1230].start 7279.39971875
transcript.pyannote[1230].end 7281.81284375
transcript.pyannote[1231].speaker SPEAKER_04
transcript.pyannote[1231].start 7279.43346875
transcript.pyannote[1231].end 7279.45034375
transcript.pyannote[1232].speaker SPEAKER_03
transcript.pyannote[1232].start 7281.82971875
transcript.pyannote[1232].end 7281.88034375
transcript.pyannote[1233].speaker SPEAKER_11
transcript.pyannote[1233].start 7281.88034375
transcript.pyannote[1233].end 7282.47096875
transcript.pyannote[1234].speaker SPEAKER_11
transcript.pyannote[1234].start 7282.79159375
transcript.pyannote[1234].end 7284.12471875
transcript.pyannote[1235].speaker SPEAKER_03
transcript.pyannote[1235].start 7284.64784375
transcript.pyannote[1235].end 7285.18784375
transcript.pyannote[1236].speaker SPEAKER_11
transcript.pyannote[1236].start 7286.55471875
transcript.pyannote[1236].end 7287.01034375
transcript.pyannote[1237].speaker SPEAKER_03
transcript.pyannote[1237].start 7288.02284375
transcript.pyannote[1237].end 7290.28409375
transcript.pyannote[1238].speaker SPEAKER_11
transcript.pyannote[1238].start 7291.17846875
transcript.pyannote[1238].end 7292.22471875
transcript.pyannote[1239].speaker SPEAKER_05
transcript.pyannote[1239].start 7297.35471875
transcript.pyannote[1239].end 7297.97909375
transcript.pyannote[1240].speaker SPEAKER_04
transcript.pyannote[1240].start 7312.00221875
transcript.pyannote[1240].end 7312.49159375
transcript.pyannote[1241].speaker SPEAKER_04
transcript.pyannote[1241].start 7313.33534375
transcript.pyannote[1241].end 7316.49096875
transcript.pyannote[1242].speaker SPEAKER_04
transcript.pyannote[1242].start 7327.15596875
transcript.pyannote[1242].end 7334.37846875
transcript.pyannote[1243].speaker SPEAKER_04
transcript.pyannote[1243].start 7335.30659375
transcript.pyannote[1243].end 7339.20471875
transcript.pyannote[1244].speaker SPEAKER_04
transcript.pyannote[1244].start 7341.97221875
transcript.pyannote[1244].end 7342.05659375
transcript.pyannote[1245].speaker SPEAKER_03
transcript.pyannote[1245].start 7342.05659375
transcript.pyannote[1245].end 7342.10721875
transcript.pyannote[1246].speaker SPEAKER_04
transcript.pyannote[1246].start 7342.10721875
transcript.pyannote[1246].end 7342.14096875
transcript.pyannote[1247].speaker SPEAKER_03
transcript.pyannote[1247].start 7342.14096875
transcript.pyannote[1247].end 7342.86659375
transcript.pyannote[1248].speaker SPEAKER_04
transcript.pyannote[1248].start 7342.86659375
transcript.pyannote[1248].end 7342.96784375
transcript.pyannote[1249].speaker SPEAKER_04
transcript.pyannote[1249].start 7358.72909375
transcript.pyannote[1249].end 7361.74971875
transcript.pyannote[1250].speaker SPEAKER_04
transcript.pyannote[1250].start 7362.44159375
transcript.pyannote[1250].end 7362.81284375
transcript.pyannote[1251].speaker SPEAKER_03
transcript.pyannote[1251].start 7362.81284375
transcript.pyannote[1251].end 7363.30221875
transcript.pyannote[1252].speaker SPEAKER_04
transcript.pyannote[1252].start 7363.30221875
transcript.pyannote[1252].end 7365.54659375
transcript.pyannote[1253].speaker SPEAKER_03
transcript.pyannote[1253].start 7363.38659375
transcript.pyannote[1253].end 7363.40346875
transcript.pyannote[1254].speaker SPEAKER_03
transcript.pyannote[1254].start 7364.77034375
transcript.pyannote[1254].end 7365.51284375
transcript.pyannote[1255].speaker SPEAKER_03
transcript.pyannote[1255].start 7365.54659375
transcript.pyannote[1255].end 7366.57596875
transcript.pyannote[1256].speaker SPEAKER_03
transcript.pyannote[1256].start 7367.97659375
transcript.pyannote[1256].end 7368.02721875
transcript.pyannote[1257].speaker SPEAKER_04
transcript.pyannote[1257].start 7372.56659375
transcript.pyannote[1257].end 7373.00534375
transcript.pyannote[1258].speaker SPEAKER_04
transcript.pyannote[1258].start 7373.17409375
transcript.pyannote[1258].end 7376.63346875
transcript.pyannote[1259].speaker SPEAKER_04
transcript.pyannote[1259].start 7377.67971875
transcript.pyannote[1259].end 7380.73409375
transcript.pyannote[1260].speaker SPEAKER_04
transcript.pyannote[1260].start 7381.66221875
transcript.pyannote[1260].end 7382.40471875
transcript.pyannote[1261].speaker SPEAKER_04
transcript.pyannote[1261].start 7382.52284375
transcript.pyannote[1261].end 7384.10909375
transcript.pyannote[1262].speaker SPEAKER_04
transcript.pyannote[1262].start 7385.23971875
transcript.pyannote[1262].end 7385.29034375
transcript.pyannote[1263].speaker SPEAKER_02
transcript.pyannote[1263].start 7398.80721875
transcript.pyannote[1263].end 7398.82409375
transcript.pyannote[1264].speaker SPEAKER_02
transcript.pyannote[1264].start 7398.97596875
transcript.pyannote[1264].end 7399.07721875
transcript.pyannote[1265].speaker SPEAKER_02
transcript.pyannote[1265].start 7399.75221875
transcript.pyannote[1265].end 7400.37659375
transcript.pyannote[1266].speaker SPEAKER_02
transcript.pyannote[1266].start 7400.69721875
transcript.pyannote[1266].end 7403.17784375
transcript.pyannote[1267].speaker SPEAKER_02
transcript.pyannote[1267].start 7404.19034375
transcript.pyannote[1267].end 7406.46846875
transcript.pyannote[1268].speaker SPEAKER_02
transcript.pyannote[1268].start 7408.78034375
transcript.pyannote[1268].end 7408.91534375
transcript.pyannote[1269].speaker SPEAKER_02
transcript.pyannote[1269].start 7409.62409375
transcript.pyannote[1269].end 7410.02909375
transcript.pyannote[1270].speaker SPEAKER_04
transcript.pyannote[1270].start 7410.02909375
transcript.pyannote[1270].end 7410.43409375
transcript.pyannote[1271].speaker SPEAKER_02
transcript.pyannote[1271].start 7410.43409375
transcript.pyannote[1271].end 7410.70409375
transcript.pyannote[1272].speaker SPEAKER_03
transcript.pyannote[1272].start 7410.43409375
transcript.pyannote[1272].end 7411.48034375
transcript.pyannote[1273].speaker SPEAKER_04
transcript.pyannote[1273].start 7410.70409375
transcript.pyannote[1273].end 7410.72096875
transcript.pyannote[1274].speaker SPEAKER_04
transcript.pyannote[1274].start 7411.69971875
transcript.pyannote[1274].end 7414.36596875
transcript.pyannote[1275].speaker SPEAKER_04
transcript.pyannote[1275].start 7414.73721875
transcript.pyannote[1275].end 7415.98596875
transcript.pyannote[1276].speaker SPEAKER_03
transcript.pyannote[1276].start 7415.98596875
transcript.pyannote[1276].end 7419.02346875
transcript.pyannote[1277].speaker SPEAKER_03
transcript.pyannote[1277].start 7419.12471875
transcript.pyannote[1277].end 7419.56346875
transcript.pyannote[1278].speaker SPEAKER_03
transcript.pyannote[1278].start 7419.61409375
transcript.pyannote[1278].end 7419.69846875
transcript.pyannote[1279].speaker SPEAKER_04
transcript.pyannote[1279].start 7419.69846875
transcript.pyannote[1279].end 7419.78284375
transcript.pyannote[1280].speaker SPEAKER_03
transcript.pyannote[1280].start 7419.78284375
transcript.pyannote[1280].end 7419.90096875
transcript.pyannote[1281].speaker SPEAKER_04
transcript.pyannote[1281].start 7419.90096875
transcript.pyannote[1281].end 7419.91784375
transcript.pyannote[1282].speaker SPEAKER_03
transcript.pyannote[1282].start 7419.91784375
transcript.pyannote[1282].end 7420.01909375
transcript.pyannote[1283].speaker SPEAKER_04
transcript.pyannote[1283].start 7420.91346875
transcript.pyannote[1283].end 7423.02284375
transcript.pyannote[1284].speaker SPEAKER_04
transcript.pyannote[1284].start 7433.31659375
transcript.pyannote[1284].end 7433.87346875
transcript.pyannote[1285].speaker SPEAKER_04
transcript.pyannote[1285].start 7433.97471875
transcript.pyannote[1285].end 7434.02534375
transcript.pyannote[1286].speaker SPEAKER_04
transcript.pyannote[1286].start 7434.04221875
transcript.pyannote[1286].end 7434.58221875
transcript.pyannote[1287].speaker SPEAKER_04
transcript.pyannote[1287].start 7434.68346875
transcript.pyannote[1287].end 7434.71721875
transcript.pyannote[1288].speaker SPEAKER_04
transcript.pyannote[1288].start 7434.73409375
transcript.pyannote[1288].end 7434.75096875
transcript.pyannote[1289].speaker SPEAKER_04
transcript.pyannote[1289].start 7439.10471875
transcript.pyannote[1289].end 7440.38721875
transcript.pyannote[1290].speaker SPEAKER_03
transcript.pyannote[1290].start 7440.38721875
transcript.pyannote[1290].end 7440.79221875
transcript.pyannote[1291].speaker SPEAKER_04
transcript.pyannote[1291].start 7443.07034375
transcript.pyannote[1291].end 7443.91409375
transcript.pyannote[1292].speaker SPEAKER_04
transcript.pyannote[1292].start 7445.78721875
transcript.pyannote[1292].end 7449.53346875
transcript.pyannote[1293].speaker SPEAKER_04
transcript.pyannote[1293].start 7450.36034375
transcript.pyannote[1293].end 7454.03909375
transcript.pyannote[1294].speaker SPEAKER_04
transcript.pyannote[1294].start 7455.00096875
transcript.pyannote[1294].end 7461.90284375
transcript.pyannote[1295].speaker SPEAKER_05
transcript.pyannote[1295].start 7467.01596875
transcript.pyannote[1295].end 7467.03284375
transcript.pyannote[1296].speaker SPEAKER_11
transcript.pyannote[1296].start 7480.17846875
transcript.pyannote[1296].end 7483.73909375
transcript.pyannote[1297].speaker SPEAKER_03
transcript.pyannote[1297].start 7483.84034375
transcript.pyannote[1297].end 7484.43096875
transcript.pyannote[1298].speaker SPEAKER_05
transcript.pyannote[1298].start 7495.09596875
transcript.pyannote[1298].end 7495.66971875
transcript.pyannote[1299].speaker SPEAKER_03
transcript.pyannote[1299].start 7506.36846875
transcript.pyannote[1299].end 7509.18659375
transcript.pyannote[1300].speaker SPEAKER_09
transcript.pyannote[1300].start 7506.40221875
transcript.pyannote[1300].end 7507.76909375
transcript.pyannote[1301].speaker SPEAKER_09
transcript.pyannote[1301].start 7508.78159375
transcript.pyannote[1301].end 7510.30034375
transcript.pyannote[1302].speaker SPEAKER_03
transcript.pyannote[1302].start 7515.70034375
transcript.pyannote[1302].end 7516.39221875
transcript.pyannote[1303].speaker SPEAKER_03
transcript.pyannote[1303].start 7518.80534375
transcript.pyannote[1303].end 7519.19346875
transcript.pyannote[1304].speaker SPEAKER_03
transcript.pyannote[1304].start 7519.22721875
transcript.pyannote[1304].end 7519.26096875
transcript.pyannote[1305].speaker SPEAKER_03
transcript.pyannote[1305].start 7519.27784375
transcript.pyannote[1305].end 7519.29471875
transcript.pyannote[1306].speaker SPEAKER_03
transcript.pyannote[1306].start 7527.85034375
transcript.pyannote[1306].end 7528.03596875
transcript.pyannote[1307].speaker SPEAKER_09
transcript.pyannote[1307].start 7528.03596875
transcript.pyannote[1307].end 7528.50846875
transcript.pyannote[1308].speaker SPEAKER_03
transcript.pyannote[1308].start 7528.05284375
transcript.pyannote[1308].end 7528.42409375
transcript.pyannote[1309].speaker SPEAKER_03
transcript.pyannote[1309].start 7528.50846875
transcript.pyannote[1309].end 7530.29721875
transcript.pyannote[1310].speaker SPEAKER_03
transcript.pyannote[1310].start 7553.97284375
transcript.pyannote[1310].end 7554.02346875
transcript.pyannote[1311].speaker SPEAKER_03
transcript.pyannote[1311].start 7562.96721875
transcript.pyannote[1311].end 7563.03471875
transcript.pyannote[1312].speaker SPEAKER_03
transcript.pyannote[1312].start 7564.95846875
transcript.pyannote[1312].end 7565.02596875
transcript.pyannote[1313].speaker SPEAKER_03
transcript.pyannote[1313].start 7565.07659375
transcript.pyannote[1313].end 7565.16096875
transcript.pyannote[1314].speaker SPEAKER_03
transcript.pyannote[1314].start 7589.37659375
transcript.pyannote[1314].end 7592.61659375
transcript.pyannote[1315].speaker SPEAKER_03
transcript.pyannote[1315].start 7593.29159375
transcript.pyannote[1315].end 7595.19846875
transcript.pyannote[1316].speaker SPEAKER_03
transcript.pyannote[1316].start 7601.40846875
transcript.pyannote[1316].end 7602.67409375
transcript.pyannote[1317].speaker SPEAKER_03
transcript.pyannote[1317].start 7607.56784375
transcript.pyannote[1317].end 7608.20909375
transcript.pyannote[1318].speaker SPEAKER_03
transcript.pyannote[1318].start 7608.58034375
transcript.pyannote[1318].end 7610.04846875
transcript.pyannote[1319].speaker SPEAKER_03
transcript.pyannote[1319].start 7610.13284375
transcript.pyannote[1319].end 7612.63034375
transcript.pyannote[1320].speaker SPEAKER_05
transcript.pyannote[1320].start 7610.85846875
transcript.pyannote[1320].end 7612.22534375
transcript.pyannote[1321].speaker SPEAKER_03
transcript.pyannote[1321].start 7628.96534375
transcript.pyannote[1321].end 7629.87659375
transcript.pyannote[1322].speaker SPEAKER_03
transcript.pyannote[1322].start 7629.97784375
transcript.pyannote[1322].end 7629.99471875
transcript.pyannote[1323].speaker SPEAKER_03
transcript.pyannote[1323].start 7630.43346875
transcript.pyannote[1323].end 7632.62721875
transcript.pyannote[1324].speaker SPEAKER_03
transcript.pyannote[1324].start 7637.50409375
transcript.pyannote[1324].end 7638.04409375
transcript.pyannote[1325].speaker SPEAKER_03
transcript.pyannote[1325].start 7638.58409375
transcript.pyannote[1325].end 7639.76534375
transcript.pyannote[1326].speaker SPEAKER_03
transcript.pyannote[1326].start 7639.91721875
transcript.pyannote[1326].end 7640.17034375
transcript.pyannote[1327].speaker SPEAKER_03
transcript.pyannote[1327].start 7640.50784375
transcript.pyannote[1327].end 7641.63846875
transcript.pyannote[1328].speaker SPEAKER_03
transcript.pyannote[1328].start 7641.99284375
transcript.pyannote[1328].end 7645.03034375
transcript.pyannote[1329].speaker SPEAKER_03
transcript.pyannote[1329].start 7645.38471875
transcript.pyannote[1329].end 7645.50284375
transcript.pyannote[1330].speaker SPEAKER_18
transcript.pyannote[1330].start 7645.50284375
transcript.pyannote[1330].end 7649.31659375
transcript.pyannote[1331].speaker SPEAKER_03
transcript.pyannote[1331].start 7645.63784375
transcript.pyannote[1331].end 7645.65471875
transcript.pyannote[1332].speaker SPEAKER_05
transcript.pyannote[1332].start 7649.31659375
transcript.pyannote[1332].end 7650.04221875
transcript.pyannote[1333].speaker SPEAKER_12
transcript.pyannote[1333].start 7650.61596875
transcript.pyannote[1333].end 7653.19784375
transcript.pyannote[1334].speaker SPEAKER_05
transcript.pyannote[1334].start 7651.30784375
transcript.pyannote[1334].end 7652.03346875
transcript.pyannote[1335].speaker SPEAKER_11
transcript.pyannote[1335].start 7661.77034375
transcript.pyannote[1335].end 7661.83784375
transcript.pyannote[1336].speaker SPEAKER_03
transcript.pyannote[1336].start 7668.97596875
transcript.pyannote[1336].end 7669.60034375
transcript.pyannote[1337].speaker SPEAKER_04
transcript.pyannote[1337].start 7669.83659375
transcript.pyannote[1337].end 7670.91659375
transcript.pyannote[1338].speaker SPEAKER_03
transcript.pyannote[1338].start 7670.91659375
transcript.pyannote[1338].end 7672.38471875
transcript.pyannote[1339].speaker SPEAKER_04
transcript.pyannote[1339].start 7671.00096875
transcript.pyannote[1339].end 7671.15284375
transcript.pyannote[1340].speaker SPEAKER_04
transcript.pyannote[1340].start 7673.44784375
transcript.pyannote[1340].end 7675.99596875
transcript.pyannote[1341].speaker SPEAKER_03
transcript.pyannote[1341].start 7677.00846875
transcript.pyannote[1341].end 7677.10971875
transcript.pyannote[1342].speaker SPEAKER_04
transcript.pyannote[1342].start 7677.10971875
transcript.pyannote[1342].end 7677.71721875
transcript.pyannote[1343].speaker SPEAKER_04
transcript.pyannote[1343].start 7683.97784375
transcript.pyannote[1343].end 7684.87221875
transcript.pyannote[1344].speaker SPEAKER_04
transcript.pyannote[1344].start 7685.04096875
transcript.pyannote[1344].end 7688.02784375
transcript.pyannote[1345].speaker SPEAKER_00
transcript.pyannote[1345].start 7696.93784375
transcript.pyannote[1345].end 7697.56221875
transcript.pyannote[1346].speaker SPEAKER_01
transcript.pyannote[1346].start 7697.20784375
transcript.pyannote[1346].end 7697.32596875
transcript.pyannote[1347].speaker SPEAKER_01
transcript.pyannote[1347].start 7697.34284375
transcript.pyannote[1347].end 7697.37659375
transcript.pyannote[1348].speaker SPEAKER_04
transcript.pyannote[1348].start 7713.12096875
transcript.pyannote[1348].end 7713.82971875
transcript.pyannote[1349].speaker SPEAKER_04
transcript.pyannote[1349].start 7714.42034375
transcript.pyannote[1349].end 7714.77471875
transcript.pyannote[1350].speaker SPEAKER_04
transcript.pyannote[1350].start 7715.97284375
transcript.pyannote[1350].end 7716.02346875
transcript.pyannote[1351].speaker SPEAKER_09
transcript.pyannote[1351].start 7716.02346875
transcript.pyannote[1351].end 7716.59721875
transcript.pyannote[1352].speaker SPEAKER_05
transcript.pyannote[1352].start 7716.59721875
transcript.pyannote[1352].end 7717.57596875
transcript.pyannote[1353].speaker SPEAKER_04
transcript.pyannote[1353].start 7716.83346875
transcript.pyannote[1353].end 7717.03596875
transcript.pyannote[1354].speaker SPEAKER_09
transcript.pyannote[1354].start 7717.03596875
transcript.pyannote[1354].end 7717.52534375
transcript.pyannote[1355].speaker SPEAKER_09
transcript.pyannote[1355].start 7717.57596875
transcript.pyannote[1355].end 7732.96596875
transcript.pyannote[1356].speaker SPEAKER_03
transcript.pyannote[1356].start 7730.29971875
transcript.pyannote[1356].end 7731.17721875
transcript.pyannote[1357].speaker SPEAKER_04
transcript.pyannote[1357].start 7731.17721875
transcript.pyannote[1357].end 7731.19409375
transcript.pyannote[1358].speaker SPEAKER_04
transcript.pyannote[1358].start 7732.96596875
transcript.pyannote[1358].end 7734.68721875
transcript.pyannote[1359].speaker SPEAKER_09
transcript.pyannote[1359].start 7734.68721875
transcript.pyannote[1359].end 7736.62784375
transcript.pyannote[1360].speaker SPEAKER_04
transcript.pyannote[1360].start 7734.75471875
transcript.pyannote[1360].end 7735.10909375
transcript.pyannote[1361].speaker SPEAKER_09
transcript.pyannote[1361].start 7736.67846875
transcript.pyannote[1361].end 7738.95659375
transcript.pyannote[1362].speaker SPEAKER_04
transcript.pyannote[1362].start 7736.77971875
transcript.pyannote[1362].end 7736.89784375
transcript.pyannote[1363].speaker SPEAKER_04
transcript.pyannote[1363].start 7737.03284375
transcript.pyannote[1363].end 7737.97784375
transcript.pyannote[1364].speaker SPEAKER_02
transcript.pyannote[1364].start 7738.95659375
transcript.pyannote[1364].end 7740.03659375
transcript.pyannote[1365].speaker SPEAKER_09
transcript.pyannote[1365].start 7741.94346875
transcript.pyannote[1365].end 7742.66909375
transcript.pyannote[1366].speaker SPEAKER_10
transcript.pyannote[1366].start 7743.34409375
transcript.pyannote[1366].end 7743.81659375
transcript.pyannote[1367].speaker SPEAKER_10
transcript.pyannote[1367].start 7746.78659375
transcript.pyannote[1367].end 7748.27159375
transcript.pyannote[1368].speaker SPEAKER_05
transcript.pyannote[1368].start 7754.76846875
transcript.pyannote[1368].end 7754.81909375
transcript.pyannote[1369].speaker SPEAKER_10
transcript.pyannote[1369].start 7754.81909375
transcript.pyannote[1369].end 7755.42659375
transcript.pyannote[1370].speaker SPEAKER_09
transcript.pyannote[1370].start 7754.88659375
transcript.pyannote[1370].end 7754.95409375
transcript.pyannote[1371].speaker SPEAKER_09
transcript.pyannote[1371].start 7755.42659375
transcript.pyannote[1371].end 7757.04659375
transcript.pyannote[1372].speaker SPEAKER_09
transcript.pyannote[1372].start 7757.31659375
transcript.pyannote[1372].end 7757.45159375
transcript.pyannote[1373].speaker SPEAKER_09
transcript.pyannote[1373].start 7757.83971875
transcript.pyannote[1373].end 7759.93221875
transcript.pyannote[1374].speaker SPEAKER_09
transcript.pyannote[1374].start 7760.08409375
transcript.pyannote[1374].end 7760.30346875
transcript.pyannote[1375].speaker SPEAKER_09
transcript.pyannote[1375].start 7760.82659375
transcript.pyannote[1375].end 7763.17221875
transcript.pyannote[1376].speaker SPEAKER_09
transcript.pyannote[1376].start 7763.77971875
transcript.pyannote[1376].end 7763.84721875
transcript.pyannote[1377].speaker SPEAKER_10
transcript.pyannote[1377].start 7763.84721875
transcript.pyannote[1377].end 7764.25221875
transcript.pyannote[1378].speaker SPEAKER_09
transcript.pyannote[1378].start 7764.25221875
transcript.pyannote[1378].end 7764.37034375
transcript.pyannote[1379].speaker SPEAKER_10
transcript.pyannote[1379].start 7764.37034375
transcript.pyannote[1379].end 7766.15909375
transcript.pyannote[1380].speaker SPEAKER_09
transcript.pyannote[1380].start 7764.55596875
transcript.pyannote[1380].end 7764.75846875
transcript.pyannote[1381].speaker SPEAKER_10
transcript.pyannote[1381].start 7766.47971875
transcript.pyannote[1381].end 7769.90534375
transcript.pyannote[1382].speaker SPEAKER_10
transcript.pyannote[1382].start 7770.27659375
transcript.pyannote[1382].end 7770.59721875
transcript.pyannote[1383].speaker SPEAKER_10
transcript.pyannote[1383].start 7770.91784375
transcript.pyannote[1383].end 7772.36909375
transcript.pyannote[1384].speaker SPEAKER_10
transcript.pyannote[1384].start 7773.41534375
transcript.pyannote[1384].end 7778.46096875
transcript.pyannote[1385].speaker SPEAKER_10
transcript.pyannote[1385].start 7779.08534375
transcript.pyannote[1385].end 7782.62909375
transcript.pyannote[1386].speaker SPEAKER_10
transcript.pyannote[1386].start 7782.76409375
transcript.pyannote[1386].end 7785.59909375
transcript.pyannote[1387].speaker SPEAKER_10
transcript.pyannote[1387].start 7788.29909375
transcript.pyannote[1387].end 7789.69971875
transcript.pyannote[1388].speaker SPEAKER_13
transcript.pyannote[1388].start 7790.47596875
transcript.pyannote[1388].end 7790.88096875
transcript.pyannote[1389].speaker SPEAKER_13
transcript.pyannote[1389].start 7791.57284375
transcript.pyannote[1389].end 7797.29346875
transcript.pyannote[1390].speaker SPEAKER_13
transcript.pyannote[1390].start 7797.66471875
transcript.pyannote[1390].end 7879.91346875
transcript.pyannote[1391].speaker SPEAKER_13
transcript.pyannote[1391].start 7880.74034375
transcript.pyannote[1391].end 7925.05409375
transcript.pyannote[1392].speaker SPEAKER_13
transcript.pyannote[1392].start 7925.10471875
transcript.pyannote[1392].end 7927.11284375
transcript.pyannote[1393].speaker SPEAKER_13
transcript.pyannote[1393].start 7928.95221875
transcript.pyannote[1393].end 7928.96909375
transcript.pyannote[1394].speaker SPEAKER_10
transcript.pyannote[1394].start 7928.96909375
transcript.pyannote[1394].end 7929.10409375
transcript.pyannote[1395].speaker SPEAKER_13
transcript.pyannote[1395].start 7929.10409375
transcript.pyannote[1395].end 7929.25596875
transcript.pyannote[1396].speaker SPEAKER_10
transcript.pyannote[1396].start 7929.25596875
transcript.pyannote[1396].end 7931.80409375
transcript.pyannote[1397].speaker SPEAKER_13
transcript.pyannote[1397].start 7929.54284375
transcript.pyannote[1397].end 7981.78784375
transcript.pyannote[1398].speaker SPEAKER_13
transcript.pyannote[1398].start 7983.12096875
transcript.pyannote[1398].end 7990.83284375
transcript.pyannote[1399].speaker SPEAKER_13
transcript.pyannote[1399].start 7993.07721875
transcript.pyannote[1399].end 8000.19846875
transcript.pyannote[1400].speaker SPEAKER_13
transcript.pyannote[1400].start 8000.77221875
transcript.pyannote[1400].end 8001.14346875
transcript.pyannote[1401].speaker SPEAKER_13
transcript.pyannote[1401].start 8002.17284375
transcript.pyannote[1401].end 8002.24034375
transcript.pyannote[1402].speaker SPEAKER_10
transcript.pyannote[1402].start 8003.03346875
transcript.pyannote[1402].end 8003.05034375
transcript.pyannote[1403].speaker SPEAKER_13
transcript.pyannote[1403].start 8003.05034375
transcript.pyannote[1403].end 8003.97846875
transcript.pyannote[1404].speaker SPEAKER_10
transcript.pyannote[1404].start 8003.97846875
transcript.pyannote[1404].end 8004.21471875
transcript.pyannote[1405].speaker SPEAKER_10
transcript.pyannote[1405].start 8004.60284375
transcript.pyannote[1405].end 8005.42971875
transcript.pyannote[1406].speaker SPEAKER_14
transcript.pyannote[1406].start 8007.15096875
transcript.pyannote[1406].end 8015.13284375
transcript.pyannote[1407].speaker SPEAKER_14
transcript.pyannote[1407].start 8015.35221875
transcript.pyannote[1407].end 8055.76784375
transcript.pyannote[1408].speaker SPEAKER_14
transcript.pyannote[1408].start 8056.25721875
transcript.pyannote[1408].end 8063.61471875
transcript.pyannote[1409].speaker SPEAKER_14
transcript.pyannote[1409].start 8064.08721875
transcript.pyannote[1409].end 8070.66846875
transcript.pyannote[1410].speaker SPEAKER_08
transcript.pyannote[1410].start 8070.66846875
transcript.pyannote[1410].end 8071.05659375
transcript.pyannote[1411].speaker SPEAKER_14
transcript.pyannote[1411].start 8070.73596875
transcript.pyannote[1411].end 8070.85409375
transcript.pyannote[1412].speaker SPEAKER_14
transcript.pyannote[1412].start 8070.87096875
transcript.pyannote[1412].end 8070.98909375
transcript.pyannote[1413].speaker SPEAKER_14
transcript.pyannote[1413].start 8071.05659375
transcript.pyannote[1413].end 8071.96784375
transcript.pyannote[1414].speaker SPEAKER_08
transcript.pyannote[1414].start 8071.96784375
transcript.pyannote[1414].end 8079.84846875
transcript.pyannote[1415].speaker SPEAKER_08
transcript.pyannote[1415].start 8080.16909375
transcript.pyannote[1415].end 8081.75534375
transcript.pyannote[1416].speaker SPEAKER_08
transcript.pyannote[1416].start 8083.03784375
transcript.pyannote[1416].end 8083.39221875
transcript.pyannote[1417].speaker SPEAKER_08
transcript.pyannote[1417].start 8084.47221875
transcript.pyannote[1417].end 8086.17659375
transcript.pyannote[1418].speaker SPEAKER_13
transcript.pyannote[1418].start 8090.63159375
transcript.pyannote[1418].end 8098.44471875
transcript.pyannote[1419].speaker SPEAKER_13
transcript.pyannote[1419].start 8099.01846875
transcript.pyannote[1419].end 8105.49846875
transcript.pyannote[1420].speaker SPEAKER_08
transcript.pyannote[1420].start 8104.87409375
transcript.pyannote[1420].end 8107.79346875
transcript.pyannote[1421].speaker SPEAKER_13
transcript.pyannote[1421].start 8106.05534375
transcript.pyannote[1421].end 8106.46034375
transcript.pyannote[1422].speaker SPEAKER_13
transcript.pyannote[1422].start 8107.96221875
transcript.pyannote[1422].end 8109.83534375
transcript.pyannote[1423].speaker SPEAKER_08
transcript.pyannote[1423].start 8111.99534375
transcript.pyannote[1423].end 8114.22284375
transcript.pyannote[1424].speaker SPEAKER_13
transcript.pyannote[1424].start 8112.34971875
transcript.pyannote[1424].end 8113.83471875
transcript.pyannote[1425].speaker SPEAKER_08
transcript.pyannote[1425].start 8114.62784375
transcript.pyannote[1425].end 8125.56284375
transcript.pyannote[1426].speaker SPEAKER_00
transcript.pyannote[1426].start 8119.11659375
transcript.pyannote[1426].end 8119.45409375
transcript.pyannote[1427].speaker SPEAKER_08
transcript.pyannote[1427].start 8126.65971875
transcript.pyannote[1427].end 8128.22909375
transcript.pyannote[1428].speaker SPEAKER_08
transcript.pyannote[1428].start 8131.09784375
transcript.pyannote[1428].end 8139.68721875
transcript.pyannote[1429].speaker SPEAKER_08
transcript.pyannote[1429].start 8141.74596875
transcript.pyannote[1429].end 8150.20034375
transcript.pyannote[1430].speaker SPEAKER_08
transcript.pyannote[1430].start 8151.07784375
transcript.pyannote[1430].end 8151.55034375
transcript.pyannote[1431].speaker SPEAKER_08
transcript.pyannote[1431].start 8154.06471875
transcript.pyannote[1431].end 8155.98846875
transcript.pyannote[1432].speaker SPEAKER_08
transcript.pyannote[1432].start 8156.88284375
transcript.pyannote[1432].end 8158.87409375
transcript.pyannote[1433].speaker SPEAKER_08
transcript.pyannote[1433].start 8160.76409375
transcript.pyannote[1433].end 8164.24034375
transcript.pyannote[1434].speaker SPEAKER_10
transcript.pyannote[1434].start 8171.98596875
transcript.pyannote[1434].end 8173.58909375
transcript.pyannote[1435].speaker SPEAKER_08
transcript.pyannote[1435].start 8173.63971875
transcript.pyannote[1435].end 8177.11596875
transcript.pyannote[1436].speaker SPEAKER_08
transcript.pyannote[1436].start 8177.31846875
transcript.pyannote[1436].end 8179.05659375
transcript.pyannote[1437].speaker SPEAKER_08
transcript.pyannote[1437].start 8179.29284375
transcript.pyannote[1437].end 8188.79346875
transcript.pyannote[1438].speaker SPEAKER_08
transcript.pyannote[1438].start 8189.48534375
transcript.pyannote[1438].end 8201.24721875
transcript.pyannote[1439].speaker SPEAKER_13
transcript.pyannote[1439].start 8200.36971875
transcript.pyannote[1439].end 8200.70721875
transcript.pyannote[1440].speaker SPEAKER_13
transcript.pyannote[1440].start 8201.23034375
transcript.pyannote[1440].end 8229.98534375
transcript.pyannote[1441].speaker SPEAKER_08
transcript.pyannote[1441].start 8228.39909375
transcript.pyannote[1441].end 8231.03159375
transcript.pyannote[1442].speaker SPEAKER_13
transcript.pyannote[1442].start 8230.66034375
transcript.pyannote[1442].end 8259.31409375
transcript.pyannote[1443].speaker SPEAKER_08
transcript.pyannote[1443].start 8236.80284375
transcript.pyannote[1443].end 8241.44346875
transcript.pyannote[1444].speaker SPEAKER_08
transcript.pyannote[1444].start 8249.59409375
transcript.pyannote[1444].end 8254.01534375
transcript.pyannote[1445].speaker SPEAKER_08
transcript.pyannote[1445].start 8257.42409375
transcript.pyannote[1445].end 8263.83659375
transcript.pyannote[1446].speaker SPEAKER_08
transcript.pyannote[1446].start 8264.32596875
transcript.pyannote[1446].end 8297.13096875
transcript.pyannote[1447].speaker SPEAKER_10
transcript.pyannote[1447].start 8266.99221875
transcript.pyannote[1447].end 8267.71784375
transcript.pyannote[1448].speaker SPEAKER_08
transcript.pyannote[1448].start 8297.46846875
transcript.pyannote[1448].end 8308.08284375
transcript.pyannote[1449].speaker SPEAKER_08
transcript.pyannote[1449].start 8308.75784375
transcript.pyannote[1449].end 8312.79096875
transcript.pyannote[1450].speaker SPEAKER_10
transcript.pyannote[1450].start 8313.09471875
transcript.pyannote[1450].end 8323.59096875
transcript.pyannote[1451].speaker SPEAKER_10
transcript.pyannote[1451].start 8323.65846875
transcript.pyannote[1451].end 8335.28534375
transcript.pyannote[1452].speaker SPEAKER_10
transcript.pyannote[1452].start 8335.43721875
transcript.pyannote[1452].end 8344.76909375
transcript.pyannote[1453].speaker SPEAKER_10
transcript.pyannote[1453].start 8345.08971875
transcript.pyannote[1453].end 8349.89909375
transcript.pyannote[1454].speaker SPEAKER_01
transcript.pyannote[1454].start 8350.77659375
transcript.pyannote[1454].end 8385.43784375
transcript.pyannote[1455].speaker SPEAKER_01
transcript.pyannote[1455].start 8385.57284375
transcript.pyannote[1455].end 8388.49221875
transcript.pyannote[1456].speaker SPEAKER_01
transcript.pyannote[1456].start 8388.94784375
transcript.pyannote[1456].end 8393.08221875
transcript.pyannote[1457].speaker SPEAKER_01
transcript.pyannote[1457].start 8393.62221875
transcript.pyannote[1457].end 8394.07784375
transcript.pyannote[1458].speaker SPEAKER_01
transcript.pyannote[1458].start 8394.53346875
transcript.pyannote[1458].end 8395.02284375
transcript.pyannote[1459].speaker SPEAKER_08
transcript.pyannote[1459].start 8395.02284375
transcript.pyannote[1459].end 8398.63409375
transcript.pyannote[1460].speaker SPEAKER_08
transcript.pyannote[1460].start 8400.33846875
transcript.pyannote[1460].end 8401.75596875
transcript.pyannote[1461].speaker SPEAKER_08
transcript.pyannote[1461].start 8403.69659375
transcript.pyannote[1461].end 8415.01971875
transcript.pyannote[1462].speaker SPEAKER_08
transcript.pyannote[1462].start 8415.34034375
transcript.pyannote[1462].end 8418.32721875
transcript.pyannote[1463].speaker SPEAKER_08
transcript.pyannote[1463].start 8422.90034375
transcript.pyannote[1463].end 8441.64846875
transcript.pyannote[1464].speaker SPEAKER_01
transcript.pyannote[1464].start 8423.72721875
transcript.pyannote[1464].end 8425.27971875
transcript.pyannote[1465].speaker SPEAKER_08
transcript.pyannote[1465].start 8442.37409375
transcript.pyannote[1465].end 8443.97721875
transcript.pyannote[1466].speaker SPEAKER_08
transcript.pyannote[1466].start 8444.33159375
transcript.pyannote[1466].end 8445.93471875
transcript.pyannote[1467].speaker SPEAKER_10
transcript.pyannote[1467].start 8451.25034375
transcript.pyannote[1467].end 8454.03471875
transcript.pyannote[1468].speaker SPEAKER_10
transcript.pyannote[1468].start 8455.19909375
transcript.pyannote[1468].end 8457.69659375
transcript.pyannote[1469].speaker SPEAKER_08
transcript.pyannote[1469].start 8457.54471875
transcript.pyannote[1469].end 8460.04221875
transcript.pyannote[1470].speaker SPEAKER_08
transcript.pyannote[1470].start 8460.58221875
transcript.pyannote[1470].end 8467.60221875
transcript.pyannote[1471].speaker SPEAKER_08
transcript.pyannote[1471].start 8468.39534375
transcript.pyannote[1471].end 8472.61409375
transcript.pyannote[1472].speaker SPEAKER_08
transcript.pyannote[1472].start 8472.96846875
transcript.pyannote[1472].end 8476.64721875
transcript.pyannote[1473].speaker SPEAKER_08
transcript.pyannote[1473].start 8476.76534375
transcript.pyannote[1473].end 8481.13596875
transcript.pyannote[1474].speaker SPEAKER_08
transcript.pyannote[1474].start 8481.96284375
transcript.pyannote[1474].end 8487.05909375
transcript.pyannote[1475].speaker SPEAKER_08
transcript.pyannote[1475].start 8488.88159375
transcript.pyannote[1475].end 8492.17221875
transcript.pyannote[1476].speaker SPEAKER_08
transcript.pyannote[1476].start 8493.58971875
transcript.pyannote[1476].end 8494.28159375
transcript.pyannote[1477].speaker SPEAKER_05
transcript.pyannote[1477].start 8497.67346875
transcript.pyannote[1477].end 8498.36534375
transcript.pyannote[1478].speaker SPEAKER_05
transcript.pyannote[1478].start 8498.97284375
transcript.pyannote[1478].end 8499.02346875
transcript.pyannote[1479].speaker SPEAKER_08
transcript.pyannote[1479].start 8500.71096875
transcript.pyannote[1479].end 8508.03471875
transcript.pyannote[1480].speaker SPEAKER_05
transcript.pyannote[1480].start 8501.04846875
transcript.pyannote[1480].end 8501.52096875
transcript.pyannote[1481].speaker SPEAKER_08
transcript.pyannote[1481].start 8508.33846875
transcript.pyannote[1481].end 8509.72221875
transcript.pyannote[1482].speaker SPEAKER_17
transcript.pyannote[1482].start 8509.72221875
transcript.pyannote[1482].end 8509.75596875
transcript.pyannote[1483].speaker SPEAKER_17
transcript.pyannote[1483].start 8512.48971875
transcript.pyannote[1483].end 8518.22721875
transcript.pyannote[1484].speaker SPEAKER_17
transcript.pyannote[1484].start 8518.41284375
transcript.pyannote[1484].end 8528.67284375
transcript.pyannote[1485].speaker SPEAKER_17
transcript.pyannote[1485].start 8528.68971875
transcript.pyannote[1485].end 8528.72346875
transcript.pyannote[1486].speaker SPEAKER_17
transcript.pyannote[1486].start 8528.92596875
transcript.pyannote[1486].end 8537.09346875
transcript.pyannote[1487].speaker SPEAKER_17
transcript.pyannote[1487].start 8537.38034375
transcript.pyannote[1487].end 8538.71346875
transcript.pyannote[1488].speaker SPEAKER_08
transcript.pyannote[1488].start 8539.99596875
transcript.pyannote[1488].end 8540.08034375
transcript.pyannote[1489].speaker SPEAKER_17
transcript.pyannote[1489].start 8540.08034375
transcript.pyannote[1489].end 8540.29971875
transcript.pyannote[1490].speaker SPEAKER_08
transcript.pyannote[1490].start 8540.29971875
transcript.pyannote[1490].end 8540.31659375
transcript.pyannote[1491].speaker SPEAKER_17
transcript.pyannote[1491].start 8540.31659375
transcript.pyannote[1491].end 8540.33346875
transcript.pyannote[1492].speaker SPEAKER_08
transcript.pyannote[1492].start 8540.33346875
transcript.pyannote[1492].end 8540.48534375
transcript.pyannote[1493].speaker SPEAKER_17
transcript.pyannote[1493].start 8540.48534375
transcript.pyannote[1493].end 8540.51909375
transcript.pyannote[1494].speaker SPEAKER_08
transcript.pyannote[1494].start 8540.51909375
transcript.pyannote[1494].end 8541.93659375
transcript.pyannote[1495].speaker SPEAKER_17
transcript.pyannote[1495].start 8540.56971875
transcript.pyannote[1495].end 8547.70784375
transcript.pyannote[1496].speaker SPEAKER_08
transcript.pyannote[1496].start 8547.11721875
transcript.pyannote[1496].end 8555.33534375
transcript.pyannote[1497].speaker SPEAKER_08
transcript.pyannote[1497].start 8556.33096875
transcript.pyannote[1497].end 8557.71471875
transcript.pyannote[1498].speaker SPEAKER_17
transcript.pyannote[1498].start 8563.67159375
transcript.pyannote[1498].end 8573.37471875
transcript.pyannote[1499].speaker SPEAKER_08
transcript.pyannote[1499].start 8574.94409375
transcript.pyannote[1499].end 8582.55471875
transcript.pyannote[1500].speaker SPEAKER_17
transcript.pyannote[1500].start 8575.36596875
transcript.pyannote[1500].end 8576.34471875
transcript.pyannote[1501].speaker SPEAKER_10
transcript.pyannote[1501].start 8586.43596875
transcript.pyannote[1501].end 8586.87471875
transcript.pyannote[1502].speaker SPEAKER_10
transcript.pyannote[1502].start 8587.53284375
transcript.pyannote[1502].end 8587.80284375
transcript.pyannote[1503].speaker SPEAKER_10
transcript.pyannote[1503].start 8589.37221875
transcript.pyannote[1503].end 8589.60846875
transcript.pyannote[1504].speaker SPEAKER_10
transcript.pyannote[1504].start 8591.80221875
transcript.pyannote[1504].end 8592.73034375
transcript.pyannote[1505].speaker SPEAKER_10
transcript.pyannote[1505].start 8592.94971875
transcript.pyannote[1505].end 8595.19409375
transcript.pyannote[1506].speaker SPEAKER_10
transcript.pyannote[1506].start 8595.51471875
transcript.pyannote[1506].end 8597.84346875
transcript.pyannote[1507].speaker SPEAKER_08
transcript.pyannote[1507].start 8599.02471875
transcript.pyannote[1507].end 8604.30659375
transcript.pyannote[1508].speaker SPEAKER_10
transcript.pyannote[1508].start 8599.04159375
transcript.pyannote[1508].end 8599.36221875
transcript.pyannote[1509].speaker SPEAKER_10
transcript.pyannote[1509].start 8601.37034375
transcript.pyannote[1509].end 8602.33221875
transcript.pyannote[1510].speaker SPEAKER_10
transcript.pyannote[1510].start 8603.39534375
transcript.pyannote[1510].end 8604.64409375
transcript.pyannote[1511].speaker SPEAKER_10
transcript.pyannote[1511].start 8607.37784375
transcript.pyannote[1511].end 8608.60971875
transcript.pyannote[1512].speaker SPEAKER_10
transcript.pyannote[1512].start 8610.09471875
transcript.pyannote[1512].end 8612.13659375
transcript.pyannote[1513].speaker SPEAKER_10
transcript.pyannote[1513].start 8612.82846875
transcript.pyannote[1513].end 8613.46971875
transcript.pyannote[1514].speaker SPEAKER_10
transcript.pyannote[1514].start 8614.07721875
transcript.pyannote[1514].end 8615.46096875
transcript.pyannote[1515].speaker SPEAKER_13
transcript.pyannote[1515].start 8619.34221875
transcript.pyannote[1515].end 8698.03034375
transcript.pyannote[1516].speaker SPEAKER_13
transcript.pyannote[1516].start 8698.30034375
transcript.pyannote[1516].end 8698.67159375
transcript.pyannote[1517].speaker SPEAKER_13
transcript.pyannote[1517].start 8699.76846875
transcript.pyannote[1517].end 8739.55971875
transcript.pyannote[1518].speaker SPEAKER_13
transcript.pyannote[1518].start 8739.96471875
transcript.pyannote[1518].end 8749.71846875
transcript.pyannote[1519].speaker SPEAKER_13
transcript.pyannote[1519].start 8750.37659375
transcript.pyannote[1519].end 8828.92971875
transcript.pyannote[1520].speaker SPEAKER_13
transcript.pyannote[1520].start 8832.74346875
transcript.pyannote[1520].end 8844.16784375
transcript.pyannote[1521].speaker SPEAKER_10
transcript.pyannote[1521].start 8846.51346875
transcript.pyannote[1521].end 8847.98159375
transcript.pyannote[1522].speaker SPEAKER_08
transcript.pyannote[1522].start 8850.79971875
transcript.pyannote[1522].end 8854.20846875
transcript.pyannote[1523].speaker SPEAKER_08
transcript.pyannote[1523].start 8860.87409375
transcript.pyannote[1523].end 8861.29596875
transcript.pyannote[1524].speaker SPEAKER_08
transcript.pyannote[1524].start 8863.81034375
transcript.pyannote[1524].end 8870.76284375
transcript.pyannote[1525].speaker SPEAKER_08
transcript.pyannote[1525].start 8871.60659375
transcript.pyannote[1525].end 8872.77096875
transcript.pyannote[1526].speaker SPEAKER_08
transcript.pyannote[1526].start 8873.81721875
transcript.pyannote[1526].end 8878.74471875
transcript.pyannote[1527].speaker SPEAKER_08
transcript.pyannote[1527].start 8879.65596875
transcript.pyannote[1527].end 8890.25346875
transcript.pyannote[1528].speaker SPEAKER_08
transcript.pyannote[1528].start 8890.64159375
transcript.pyannote[1528].end 8896.93596875
transcript.pyannote[1529].speaker SPEAKER_08
transcript.pyannote[1529].start 8897.59409375
transcript.pyannote[1529].end 8906.72346875
transcript.pyannote[1530].speaker SPEAKER_08
transcript.pyannote[1530].start 8907.14534375
transcript.pyannote[1530].end 8909.50784375
transcript.pyannote[1531].speaker SPEAKER_08
transcript.pyannote[1531].start 8910.57096875
transcript.pyannote[1531].end 8915.26221875
transcript.pyannote[1532].speaker SPEAKER_08
transcript.pyannote[1532].start 8915.92034375
transcript.pyannote[1532].end 8917.94534375
transcript.pyannote[1533].speaker SPEAKER_08
transcript.pyannote[1533].start 8919.36284375
transcript.pyannote[1533].end 8924.25659375
transcript.pyannote[1534].speaker SPEAKER_08
transcript.pyannote[1534].start 8924.56034375
transcript.pyannote[1534].end 8931.56346875
transcript.pyannote[1535].speaker SPEAKER_08
transcript.pyannote[1535].start 8931.96846875
transcript.pyannote[1535].end 8935.36034375
transcript.pyannote[1536].speaker SPEAKER_08
transcript.pyannote[1536].start 8937.63846875
transcript.pyannote[1536].end 8940.72659375
transcript.pyannote[1537].speaker SPEAKER_08
transcript.pyannote[1537].start 8941.31721875
transcript.pyannote[1537].end 8942.12721875
transcript.pyannote[1538].speaker SPEAKER_08
transcript.pyannote[1538].start 8943.32534375
transcript.pyannote[1538].end 8948.59034375
transcript.pyannote[1539].speaker SPEAKER_08
transcript.pyannote[1539].start 8949.04596875
transcript.pyannote[1539].end 8950.24409375
transcript.pyannote[1540].speaker SPEAKER_08
transcript.pyannote[1540].start 8951.05409375
transcript.pyannote[1540].end 8952.79221875
transcript.pyannote[1541].speaker SPEAKER_08
transcript.pyannote[1541].start 8953.24784375
transcript.pyannote[1541].end 8953.75409375
transcript.pyannote[1542].speaker SPEAKER_08
transcript.pyannote[1542].start 8953.95659375
transcript.pyannote[1542].end 8957.07846875
transcript.pyannote[1543].speaker SPEAKER_08
transcript.pyannote[1543].start 8957.33159375
transcript.pyannote[1543].end 8959.64346875
transcript.pyannote[1544].speaker SPEAKER_08
transcript.pyannote[1544].start 8960.04846875
transcript.pyannote[1544].end 8965.41471875
transcript.pyannote[1545].speaker SPEAKER_08
transcript.pyannote[1545].start 8965.81971875
transcript.pyannote[1545].end 8975.03346875
transcript.pyannote[1546].speaker SPEAKER_08
transcript.pyannote[1546].start 8975.80971875
transcript.pyannote[1546].end 8997.52784375
transcript.pyannote[1547].speaker SPEAKER_08
transcript.pyannote[1547].start 8997.73034375
transcript.pyannote[1547].end 9004.04159375
transcript.pyannote[1548].speaker SPEAKER_00
transcript.pyannote[1548].start 9003.33284375
transcript.pyannote[1548].end 9003.67034375
transcript.pyannote[1549].speaker SPEAKER_08
transcript.pyannote[1549].start 9005.20596875
transcript.pyannote[1549].end 9017.05221875
transcript.pyannote[1550].speaker SPEAKER_08
transcript.pyannote[1550].start 9017.44034375
transcript.pyannote[1550].end 9036.88034375
transcript.pyannote[1551].speaker SPEAKER_08
transcript.pyannote[1551].start 9036.94784375
transcript.pyannote[1551].end 9047.42721875
transcript.pyannote[1552].speaker SPEAKER_08
transcript.pyannote[1552].start 9047.78159375
transcript.pyannote[1552].end 9061.60221875
transcript.pyannote[1553].speaker SPEAKER_08
transcript.pyannote[1553].start 9062.17596875
transcript.pyannote[1553].end 9064.50471875
transcript.pyannote[1554].speaker SPEAKER_08
transcript.pyannote[1554].start 9065.07846875
transcript.pyannote[1554].end 9068.36909375
transcript.pyannote[1555].speaker SPEAKER_08
transcript.pyannote[1555].start 9070.24221875
transcript.pyannote[1555].end 9079.06784375
transcript.pyannote[1556].speaker SPEAKER_08
transcript.pyannote[1556].start 9079.20284375
transcript.pyannote[1556].end 9082.13909375
transcript.pyannote[1557].speaker SPEAKER_08
transcript.pyannote[1557].start 9082.52721875
transcript.pyannote[1557].end 9099.50346875
transcript.pyannote[1558].speaker SPEAKER_08
transcript.pyannote[1558].start 9100.61721875
transcript.pyannote[1558].end 9102.94596875
transcript.pyannote[1559].speaker SPEAKER_08
transcript.pyannote[1559].start 9105.03846875
transcript.pyannote[1559].end 9105.84846875
transcript.pyannote[1560].speaker SPEAKER_08
transcript.pyannote[1560].start 9106.65846875
transcript.pyannote[1560].end 9112.12596875
transcript.pyannote[1561].speaker SPEAKER_08
transcript.pyannote[1561].start 9112.17659375
transcript.pyannote[1561].end 9117.66096875
transcript.pyannote[1562].speaker SPEAKER_08
transcript.pyannote[1562].start 9118.08284375
transcript.pyannote[1562].end 9130.72221875
transcript.pyannote[1563].speaker SPEAKER_08
transcript.pyannote[1563].start 9131.76846875
transcript.pyannote[1563].end 9133.94534375
transcript.pyannote[1564].speaker SPEAKER_08
transcript.pyannote[1564].start 9134.53596875
transcript.pyannote[1564].end 9149.57159375
transcript.pyannote[1565].speaker SPEAKER_08
transcript.pyannote[1565].start 9150.53346875
transcript.pyannote[1565].end 9152.15346875
transcript.pyannote[1566].speaker SPEAKER_08
transcript.pyannote[1566].start 9152.25471875
transcript.pyannote[1566].end 9154.53284375
transcript.pyannote[1567].speaker SPEAKER_08
transcript.pyannote[1567].start 9155.25846875
transcript.pyannote[1567].end 9157.38471875
transcript.pyannote[1568].speaker SPEAKER_08
transcript.pyannote[1568].start 9158.11034375
transcript.pyannote[1568].end 9159.47721875
transcript.pyannote[1569].speaker SPEAKER_08
transcript.pyannote[1569].start 9161.01284375
transcript.pyannote[1569].end 9163.79721875
transcript.pyannote[1570].speaker SPEAKER_08
transcript.pyannote[1570].start 9164.60721875
transcript.pyannote[1570].end 9169.83846875
transcript.pyannote[1571].speaker SPEAKER_08
transcript.pyannote[1571].start 9170.47971875
transcript.pyannote[1571].end 9176.23409375
transcript.pyannote[1572].speaker SPEAKER_08
transcript.pyannote[1572].start 9177.48284375
transcript.pyannote[1572].end 9183.32159375
transcript.pyannote[1573].speaker SPEAKER_08
transcript.pyannote[1573].start 9183.55784375
transcript.pyannote[1573].end 9186.69659375
transcript.pyannote[1574].speaker SPEAKER_08
transcript.pyannote[1574].start 9187.08471875
transcript.pyannote[1574].end 9192.99096875
transcript.pyannote[1575].speaker SPEAKER_08
transcript.pyannote[1575].start 9193.31159375
transcript.pyannote[1575].end 9196.01159375
transcript.pyannote[1576].speaker SPEAKER_08
transcript.pyannote[1576].start 9196.78784375
transcript.pyannote[1576].end 9197.26034375
transcript.pyannote[1577].speaker SPEAKER_08
transcript.pyannote[1577].start 9197.91846875
transcript.pyannote[1577].end 9199.26846875
transcript.pyannote[1578].speaker SPEAKER_08
transcript.pyannote[1578].start 9199.84221875
transcript.pyannote[1578].end 9205.02284375
transcript.pyannote[1579].speaker SPEAKER_08
transcript.pyannote[1579].start 9205.39409375
transcript.pyannote[1579].end 9209.46096875
transcript.pyannote[1580].speaker SPEAKER_08
transcript.pyannote[1580].start 9210.05159375
transcript.pyannote[1580].end 9216.39659375
transcript.pyannote[1581].speaker SPEAKER_08
transcript.pyannote[1581].start 9217.02096875
transcript.pyannote[1581].end 9218.35409375
transcript.pyannote[1582].speaker SPEAKER_08
transcript.pyannote[1582].start 9219.14721875
transcript.pyannote[1582].end 9221.27346875
transcript.pyannote[1583].speaker SPEAKER_08
transcript.pyannote[1583].start 9221.84721875
transcript.pyannote[1583].end 9223.90596875
transcript.pyannote[1584].speaker SPEAKER_08
transcript.pyannote[1584].start 9224.26034375
transcript.pyannote[1584].end 9224.85096875
transcript.pyannote[1585].speaker SPEAKER_08
transcript.pyannote[1585].start 9233.65971875
transcript.pyannote[1585].end 9237.16971875
transcript.pyannote[1586].speaker SPEAKER_08
transcript.pyannote[1586].start 9241.15221875
transcript.pyannote[1586].end 9245.87721875
transcript.pyannote[1587].speaker SPEAKER_08
transcript.pyannote[1587].start 9252.72846875
transcript.pyannote[1587].end 9257.30159375
transcript.pyannote[1588].speaker SPEAKER_08
transcript.pyannote[1588].start 9258.31409375
transcript.pyannote[1588].end 9262.00971875
transcript.pyannote[1589].speaker SPEAKER_08
transcript.pyannote[1589].start 9263.93346875
transcript.pyannote[1589].end 9266.16096875
transcript.pyannote[1590].speaker SPEAKER_08
transcript.pyannote[1590].start 9266.49846875
transcript.pyannote[1590].end 9270.36284375
transcript.pyannote[1591].speaker SPEAKER_08
transcript.pyannote[1591].start 9270.68346875
transcript.pyannote[1591].end 9272.18534375
transcript.pyannote[1592].speaker SPEAKER_08
transcript.pyannote[1592].start 9272.37096875
transcript.pyannote[1592].end 9273.82221875
transcript.pyannote[1593].speaker SPEAKER_08
transcript.pyannote[1593].start 9274.86846875
transcript.pyannote[1593].end 9275.81346875
transcript.pyannote[1594].speaker SPEAKER_08
transcript.pyannote[1594].start 9276.45471875
transcript.pyannote[1594].end 9277.80471875
transcript.pyannote[1595].speaker SPEAKER_08
transcript.pyannote[1595].start 9278.07471875
transcript.pyannote[1595].end 9278.90159375
transcript.pyannote[1596].speaker SPEAKER_08
transcript.pyannote[1596].start 9279.22221875
transcript.pyannote[1596].end 9282.83346875
transcript.pyannote[1597].speaker SPEAKER_08
transcript.pyannote[1597].start 9283.62659375
transcript.pyannote[1597].end 9288.25034375
transcript.pyannote[1598].speaker SPEAKER_08
transcript.pyannote[1598].start 9295.16909375
transcript.pyannote[1598].end 9301.27784375
transcript.pyannote[1599].speaker SPEAKER_08
transcript.pyannote[1599].start 9301.93596875
transcript.pyannote[1599].end 9305.54721875
transcript.pyannote[1600].speaker SPEAKER_08
transcript.pyannote[1600].start 9306.94784375
transcript.pyannote[1600].end 9310.60971875
transcript.pyannote[1601].speaker SPEAKER_10
transcript.pyannote[1601].start 9311.68971875
transcript.pyannote[1601].end 9312.80346875
transcript.pyannote[1602].speaker SPEAKER_06
transcript.pyannote[1602].start 9315.03096875
transcript.pyannote[1602].end 9322.38846875
transcript.pyannote[1603].speaker SPEAKER_06
transcript.pyannote[1603].start 9322.67534375
transcript.pyannote[1603].end 9327.24846875
transcript.pyannote[1604].speaker SPEAKER_06
transcript.pyannote[1604].start 9327.53534375
transcript.pyannote[1604].end 9329.35784375
transcript.pyannote[1605].speaker SPEAKER_06
transcript.pyannote[1605].start 9329.59409375
transcript.pyannote[1605].end 9330.87659375
transcript.pyannote[1606].speaker SPEAKER_06
transcript.pyannote[1606].start 9331.36596875
transcript.pyannote[1606].end 9346.03034375
transcript.pyannote[1607].speaker SPEAKER_06
transcript.pyannote[1607].start 9346.19909375
transcript.pyannote[1607].end 9368.03534375
transcript.pyannote[1608].speaker SPEAKER_06
transcript.pyannote[1608].start 9368.49096875
transcript.pyannote[1608].end 9369.08159375
transcript.pyannote[1609].speaker SPEAKER_06
transcript.pyannote[1609].start 9369.57096875
transcript.pyannote[1609].end 9375.66284375
transcript.pyannote[1610].speaker SPEAKER_06
transcript.pyannote[1610].start 9376.42221875
transcript.pyannote[1610].end 9383.72909375
transcript.pyannote[1611].speaker SPEAKER_06
transcript.pyannote[1611].start 9384.28596875
transcript.pyannote[1611].end 9409.58159375
transcript.pyannote[1612].speaker SPEAKER_06
transcript.pyannote[1612].start 9410.05409375
transcript.pyannote[1612].end 9418.30596875
transcript.pyannote[1613].speaker SPEAKER_06
transcript.pyannote[1613].start 9418.54221875
transcript.pyannote[1613].end 9419.45346875
transcript.pyannote[1614].speaker SPEAKER_06
transcript.pyannote[1614].start 9421.49534375
transcript.pyannote[1614].end 9427.70534375
transcript.pyannote[1615].speaker SPEAKER_06
transcript.pyannote[1615].start 9428.27909375
transcript.pyannote[1615].end 9474.65159375
transcript.pyannote[1616].speaker SPEAKER_06
transcript.pyannote[1616].start 9475.19159375
transcript.pyannote[1616].end 9477.65534375
transcript.pyannote[1617].speaker SPEAKER_06
transcript.pyannote[1617].start 9478.04346875
transcript.pyannote[1617].end 9482.76846875
transcript.pyannote[1618].speaker SPEAKER_06
transcript.pyannote[1618].start 9482.88659375
transcript.pyannote[1618].end 9489.46784375
transcript.pyannote[1619].speaker SPEAKER_06
transcript.pyannote[1619].start 9490.95284375
transcript.pyannote[1619].end 9493.92284375
transcript.pyannote[1620].speaker SPEAKER_10
transcript.pyannote[1620].start 9491.10471875
transcript.pyannote[1620].end 9491.20596875
transcript.pyannote[1621].speaker SPEAKER_10
transcript.pyannote[1621].start 9494.85096875
transcript.pyannote[1621].end 9495.88034375
transcript.pyannote[1622].speaker SPEAKER_10
transcript.pyannote[1622].start 9496.75784375
transcript.pyannote[1622].end 9497.98971875
transcript.pyannote[1623].speaker SPEAKER_08
transcript.pyannote[1623].start 9497.85471875
transcript.pyannote[1623].end 9507.79409375
transcript.pyannote[1624].speaker SPEAKER_06
transcript.pyannote[1624].start 9508.24971875
transcript.pyannote[1624].end 9517.02471875
transcript.pyannote[1625].speaker SPEAKER_08
transcript.pyannote[1625].start 9520.14659375
transcript.pyannote[1625].end 9525.36096875
transcript.pyannote[1626].speaker SPEAKER_08
transcript.pyannote[1626].start 9525.71534375
transcript.pyannote[1626].end 9526.49159375
transcript.pyannote[1627].speaker SPEAKER_08
transcript.pyannote[1627].start 9527.20034375
transcript.pyannote[1627].end 9532.65096875
transcript.pyannote[1628].speaker SPEAKER_08
transcript.pyannote[1628].start 9533.07284375
transcript.pyannote[1628].end 9551.39909375
transcript.pyannote[1629].speaker SPEAKER_05
transcript.pyannote[1629].start 9543.88971875
transcript.pyannote[1629].end 9543.97409375
transcript.pyannote[1630].speaker SPEAKER_06
transcript.pyannote[1630].start 9546.10034375
transcript.pyannote[1630].end 9546.47159375
transcript.pyannote[1631].speaker SPEAKER_08
transcript.pyannote[1631].start 9551.78721875
transcript.pyannote[1631].end 9553.03596875
transcript.pyannote[1632].speaker SPEAKER_06
transcript.pyannote[1632].start 9553.03596875
transcript.pyannote[1632].end 9562.46909375
transcript.pyannote[1633].speaker SPEAKER_08
transcript.pyannote[1633].start 9563.70096875
transcript.pyannote[1633].end 9568.51034375
transcript.pyannote[1634].speaker SPEAKER_08
transcript.pyannote[1634].start 9570.07971875
transcript.pyannote[1634].end 9571.53096875
transcript.pyannote[1635].speaker SPEAKER_08
transcript.pyannote[1635].start 9573.85971875
transcript.pyannote[1635].end 9574.28159375
transcript.pyannote[1636].speaker SPEAKER_08
transcript.pyannote[1636].start 9574.77096875
transcript.pyannote[1636].end 9577.58909375
transcript.pyannote[1637].speaker SPEAKER_13
transcript.pyannote[1637].start 9577.58909375
transcript.pyannote[1637].end 9653.76284375
transcript.pyannote[1638].speaker SPEAKER_13
transcript.pyannote[1638].start 9653.91471875
transcript.pyannote[1638].end 9660.56346875
transcript.pyannote[1639].speaker SPEAKER_13
transcript.pyannote[1639].start 9661.18784375
transcript.pyannote[1639].end 9726.98346875
transcript.pyannote[1640].speaker SPEAKER_08
transcript.pyannote[1640].start 9724.72221875
transcript.pyannote[1640].end 9728.83971875
transcript.pyannote[1641].speaker SPEAKER_13
transcript.pyannote[1641].start 9727.74284375
transcript.pyannote[1641].end 9734.96534375
transcript.pyannote[1642].speaker SPEAKER_08
transcript.pyannote[1642].start 9733.96971875
transcript.pyannote[1642].end 9736.50096875
transcript.pyannote[1643].speaker SPEAKER_08
transcript.pyannote[1643].start 9736.60221875
transcript.pyannote[1643].end 9741.49596875
transcript.pyannote[1644].speaker SPEAKER_13
transcript.pyannote[1644].start 9741.83346875
transcript.pyannote[1644].end 9753.32534375
transcript.pyannote[1645].speaker SPEAKER_08
transcript.pyannote[1645].start 9744.19596875
transcript.pyannote[1645].end 9744.56721875
transcript.pyannote[1646].speaker SPEAKER_08
transcript.pyannote[1646].start 9748.66784375
transcript.pyannote[1646].end 9749.10659375
transcript.pyannote[1647].speaker SPEAKER_08
transcript.pyannote[1647].start 9750.30471875
transcript.pyannote[1647].end 9750.70971875
transcript.pyannote[1648].speaker SPEAKER_08
transcript.pyannote[1648].start 9753.57846875
transcript.pyannote[1648].end 9758.52284375
transcript.pyannote[1649].speaker SPEAKER_13
transcript.pyannote[1649].start 9754.40534375
transcript.pyannote[1649].end 9756.34596875
transcript.pyannote[1650].speaker SPEAKER_13
transcript.pyannote[1650].start 9757.49346875
transcript.pyannote[1650].end 9757.88159375
transcript.pyannote[1651].speaker SPEAKER_13
transcript.pyannote[1651].start 9758.52284375
transcript.pyannote[1651].end 9759.01221875
transcript.pyannote[1652].speaker SPEAKER_13
transcript.pyannote[1652].start 9759.28221875
transcript.pyannote[1652].end 9760.44659375
transcript.pyannote[1653].speaker SPEAKER_08
transcript.pyannote[1653].start 9759.40034375
transcript.pyannote[1653].end 9762.69096875
transcript.pyannote[1654].speaker SPEAKER_13
transcript.pyannote[1654].start 9761.62784375
transcript.pyannote[1654].end 9776.12346875
transcript.pyannote[1655].speaker SPEAKER_08
transcript.pyannote[1655].start 9774.57096875
transcript.pyannote[1655].end 9778.70534375
transcript.pyannote[1656].speaker SPEAKER_13
transcript.pyannote[1656].start 9777.37221875
transcript.pyannote[1656].end 9779.44784375
transcript.pyannote[1657].speaker SPEAKER_08
transcript.pyannote[1657].start 9779.32971875
transcript.pyannote[1657].end 9779.66721875
transcript.pyannote[1658].speaker SPEAKER_13
transcript.pyannote[1658].start 9779.92034375
transcript.pyannote[1658].end 9783.44721875
transcript.pyannote[1659].speaker SPEAKER_13
transcript.pyannote[1659].start 9783.64971875
transcript.pyannote[1659].end 9786.94034375
transcript.pyannote[1660].speaker SPEAKER_08
transcript.pyannote[1660].start 9784.40909375
transcript.pyannote[1660].end 9787.71659375
transcript.pyannote[1661].speaker SPEAKER_12
transcript.pyannote[1661].start 9790.46721875
transcript.pyannote[1661].end 9792.25596875
transcript.pyannote[1662].speaker SPEAKER_13
transcript.pyannote[1662].start 9793.77471875
transcript.pyannote[1662].end 9796.08659375
transcript.pyannote[1663].speaker SPEAKER_13
transcript.pyannote[1663].start 9799.34346875
transcript.pyannote[1663].end 9802.22909375
transcript.pyannote[1664].speaker SPEAKER_07
transcript.pyannote[1664].start 9801.33471875
transcript.pyannote[1664].end 9810.85221875
transcript.pyannote[1665].speaker SPEAKER_08
transcript.pyannote[1665].start 9807.37596875
transcript.pyannote[1665].end 9808.65846875
transcript.pyannote[1666].speaker SPEAKER_13
transcript.pyannote[1666].start 9809.14784375
transcript.pyannote[1666].end 9811.42596875
transcript.pyannote[1667].speaker SPEAKER_07
transcript.pyannote[1667].start 9811.18971875
transcript.pyannote[1667].end 9814.04159375
transcript.pyannote[1668].speaker SPEAKER_13
transcript.pyannote[1668].start 9813.02909375
transcript.pyannote[1668].end 9813.29909375
transcript.pyannote[1669].speaker SPEAKER_13
transcript.pyannote[1669].start 9814.21034375
transcript.pyannote[1669].end 9823.32284375
transcript.pyannote[1670].speaker SPEAKER_06
transcript.pyannote[1670].start 9822.36096875
transcript.pyannote[1670].end 9822.79971875
transcript.pyannote[1671].speaker SPEAKER_05
transcript.pyannote[1671].start 9822.79971875
transcript.pyannote[1671].end 9822.81659375
transcript.pyannote[1672].speaker SPEAKER_06
transcript.pyannote[1672].start 9822.81659375
transcript.pyannote[1672].end 9822.85034375
transcript.pyannote[1673].speaker SPEAKER_05
transcript.pyannote[1673].start 9823.45784375
transcript.pyannote[1673].end 9824.06534375
transcript.pyannote[1674].speaker SPEAKER_06
transcript.pyannote[1674].start 9825.78659375
transcript.pyannote[1674].end 9829.75221875
transcript.pyannote[1675].speaker SPEAKER_03
transcript.pyannote[1675].start 9828.14909375
transcript.pyannote[1675].end 9828.28409375
transcript.pyannote[1676].speaker SPEAKER_03
transcript.pyannote[1676].start 9828.41909375
transcript.pyannote[1676].end 9828.57096875
transcript.pyannote[1677].speaker SPEAKER_06
transcript.pyannote[1677].start 9830.64659375
transcript.pyannote[1677].end 9832.30034375
transcript.pyannote[1678].speaker SPEAKER_06
transcript.pyannote[1678].start 9832.51971875
transcript.pyannote[1678].end 9834.27471875
transcript.pyannote[1679].speaker SPEAKER_06
transcript.pyannote[1679].start 9834.96659375
transcript.pyannote[1679].end 9856.44846875
transcript.pyannote[1680].speaker SPEAKER_13
transcript.pyannote[1680].start 9856.04346875
transcript.pyannote[1680].end 9861.74721875
transcript.pyannote[1681].speaker SPEAKER_13
transcript.pyannote[1681].start 9861.86534375
transcript.pyannote[1681].end 9861.88221875
transcript.pyannote[1682].speaker SPEAKER_10
transcript.pyannote[1682].start 9861.88221875
transcript.pyannote[1682].end 9864.86909375
transcript.pyannote[1683].speaker SPEAKER_10
transcript.pyannote[1683].start 9865.57784375
transcript.pyannote[1683].end 9871.21409375
transcript.pyannote[1684].speaker SPEAKER_10
transcript.pyannote[1684].start 9872.02409375
transcript.pyannote[1684].end 9873.84659375
transcript.pyannote[1685].speaker SPEAKER_10
transcript.pyannote[1685].start 9874.36971875
transcript.pyannote[1685].end 9875.38221875
transcript.pyannote[1686].speaker SPEAKER_08
transcript.pyannote[1686].start 9880.09034375
transcript.pyannote[1686].end 9881.47409375
transcript.pyannote[1687].speaker SPEAKER_08
transcript.pyannote[1687].start 9883.65096875
transcript.pyannote[1687].end 9884.86596875
transcript.pyannote[1688].speaker SPEAKER_08
transcript.pyannote[1688].start 9886.57034375
transcript.pyannote[1688].end 9887.58284375
transcript.pyannote[1689].speaker SPEAKER_08
transcript.pyannote[1689].start 9888.49409375
transcript.pyannote[1689].end 9889.06784375
transcript.pyannote[1690].speaker SPEAKER_08
transcript.pyannote[1690].start 9890.53596875
transcript.pyannote[1690].end 9891.91971875
transcript.pyannote[1691].speaker SPEAKER_08
transcript.pyannote[1691].start 9892.79721875
transcript.pyannote[1691].end 9894.63659375
transcript.pyannote[1692].speaker SPEAKER_08
transcript.pyannote[1692].start 9895.00784375
transcript.pyannote[1692].end 9896.12159375
transcript.pyannote[1693].speaker SPEAKER_08
transcript.pyannote[1693].start 9896.96534375
transcript.pyannote[1693].end 9897.48846875
transcript.pyannote[1694].speaker SPEAKER_08
transcript.pyannote[1694].start 9897.75846875
transcript.pyannote[1694].end 9900.96471875
transcript.pyannote[1695].speaker SPEAKER_08
transcript.pyannote[1695].start 9902.95596875
transcript.pyannote[1695].end 9904.22159375
transcript.pyannote[1696].speaker SPEAKER_10
transcript.pyannote[1696].start 9902.98971875
transcript.pyannote[1696].end 9903.58034375
transcript.pyannote[1697].speaker SPEAKER_08
transcript.pyannote[1697].start 9905.36909375
transcript.pyannote[1697].end 9906.22971875
transcript.pyannote[1698].speaker SPEAKER_10
transcript.pyannote[1698].start 9906.85409375
transcript.pyannote[1698].end 9908.03534375
transcript.pyannote[1699].speaker SPEAKER_10
transcript.pyannote[1699].start 9908.79471875
transcript.pyannote[1699].end 9909.55409375
transcript.pyannote[1700].speaker SPEAKER_10
transcript.pyannote[1700].start 9910.60034375
transcript.pyannote[1700].end 9910.98846875
transcript.pyannote[1701].speaker SPEAKER_08
transcript.pyannote[1701].start 9911.41034375
transcript.pyannote[1701].end 9915.44346875
transcript.pyannote[1702].speaker SPEAKER_08
transcript.pyannote[1702].start 9916.15221875
transcript.pyannote[1702].end 9917.01284375
transcript.pyannote[1703].speaker SPEAKER_08
transcript.pyannote[1703].start 9921.58596875
transcript.pyannote[1703].end 9922.85159375
transcript.pyannote[1704].speaker SPEAKER_08
transcript.pyannote[1704].start 9925.16346875
transcript.pyannote[1704].end 9927.10409375
transcript.pyannote[1705].speaker SPEAKER_08
transcript.pyannote[1705].start 9929.46659375
transcript.pyannote[1705].end 9932.95971875
transcript.pyannote[1706].speaker SPEAKER_05
transcript.pyannote[1706].start 9942.08909375
transcript.pyannote[1706].end 9944.48534375
transcript.pyannote[1707].speaker SPEAKER_04
transcript.pyannote[1707].start 9945.19409375
transcript.pyannote[1707].end 9946.45971875
transcript.pyannote[1708].speaker SPEAKER_13
transcript.pyannote[1708].start 9946.45971875
transcript.pyannote[1708].end 9946.51034375
transcript.pyannote[1709].speaker SPEAKER_04
transcript.pyannote[1709].start 9946.51034375
transcript.pyannote[1709].end 9946.59471875
transcript.pyannote[1710].speaker SPEAKER_13
transcript.pyannote[1710].start 9946.59471875
transcript.pyannote[1710].end 9946.61159375
transcript.pyannote[1711].speaker SPEAKER_13
transcript.pyannote[1711].start 9947.35409375
transcript.pyannote[1711].end 9947.42159375
transcript.pyannote[1712].speaker SPEAKER_04
transcript.pyannote[1712].start 9947.42159375
transcript.pyannote[1712].end 9947.45534375
transcript.pyannote[1713].speaker SPEAKER_13
transcript.pyannote[1713].start 9947.45534375
transcript.pyannote[1713].end 9958.66034375
transcript.pyannote[1714].speaker SPEAKER_13
transcript.pyannote[1714].start 9959.01471875
transcript.pyannote[1714].end 9959.03159375
transcript.pyannote[1715].speaker SPEAKER_13
transcript.pyannote[1715].start 9959.04846875
transcript.pyannote[1715].end 9959.09909375
transcript.pyannote[1716].speaker SPEAKER_04
transcript.pyannote[1716].start 9959.09909375
transcript.pyannote[1716].end 9959.53784375
transcript.pyannote[1717].speaker SPEAKER_13
transcript.pyannote[1717].start 9959.53784375
transcript.pyannote[1717].end 9959.97659375
transcript.pyannote[1718].speaker SPEAKER_04
transcript.pyannote[1718].start 9959.97659375
transcript.pyannote[1718].end 9960.49971875
transcript.pyannote[1719].speaker SPEAKER_13
transcript.pyannote[1719].start 9960.49971875
transcript.pyannote[1719].end 9960.53346875
transcript.pyannote[1720].speaker SPEAKER_08
transcript.pyannote[1720].start 9960.90471875
transcript.pyannote[1720].end 9968.65034375
transcript.pyannote[1721].speaker SPEAKER_08
transcript.pyannote[1721].start 9969.02159375
transcript.pyannote[1721].end 9971.45159375
transcript.pyannote[1722].speaker SPEAKER_08
transcript.pyannote[1722].start 9973.42596875
transcript.pyannote[1722].end 9975.51846875
transcript.pyannote[1723].speaker SPEAKER_08
transcript.pyannote[1723].start 9976.68284375
transcript.pyannote[1723].end 9979.31534375
transcript.pyannote[1724].speaker SPEAKER_08
transcript.pyannote[1724].start 9982.65659375
transcript.pyannote[1724].end 9985.52534375
transcript.pyannote[1725].speaker SPEAKER_08
transcript.pyannote[1725].start 9987.58409375
transcript.pyannote[1725].end 9992.95034375
transcript.pyannote[1726].speaker SPEAKER_08
transcript.pyannote[1726].start 9995.22846875
transcript.pyannote[1726].end 9996.64596875
transcript.pyannote[1727].speaker SPEAKER_10
transcript.pyannote[1727].start 10002.73784375
transcript.pyannote[1727].end 10003.00784375
transcript.pyannote[1728].speaker SPEAKER_07
transcript.pyannote[1728].start 10007.86784375
transcript.pyannote[1728].end 10013.06534375
transcript.pyannote[1729].speaker SPEAKER_07
transcript.pyannote[1729].start 10013.36909375
transcript.pyannote[1729].end 10021.48596875
transcript.pyannote[1730].speaker SPEAKER_07
transcript.pyannote[1730].start 10022.02596875
transcript.pyannote[1730].end 10022.98784375
transcript.pyannote[1731].speaker SPEAKER_07
transcript.pyannote[1731].start 10024.33784375
transcript.pyannote[1731].end 10024.74284375
transcript.pyannote[1732].speaker SPEAKER_07
transcript.pyannote[1732].start 10025.50221875
transcript.pyannote[1732].end 10029.73784375
transcript.pyannote[1733].speaker SPEAKER_12
transcript.pyannote[1733].start 10029.09659375
transcript.pyannote[1733].end 10033.95659375
transcript.pyannote[1734].speaker SPEAKER_07
transcript.pyannote[1734].start 10033.26471875
transcript.pyannote[1734].end 10033.83846875
transcript.pyannote[1735].speaker SPEAKER_07
transcript.pyannote[1735].start 10034.27721875
transcript.pyannote[1735].end 10038.47909375
transcript.pyannote[1736].speaker SPEAKER_08
transcript.pyannote[1736].start 10038.47909375
transcript.pyannote[1736].end 10043.23784375
transcript.pyannote[1737].speaker SPEAKER_08
transcript.pyannote[1737].start 10044.70596875
transcript.pyannote[1737].end 10045.85346875
transcript.pyannote[1738].speaker SPEAKER_10
transcript.pyannote[1738].start 10051.15221875
transcript.pyannote[1738].end 10051.50659375
transcript.pyannote[1739].speaker SPEAKER_10
transcript.pyannote[1739].start 10052.51909375
transcript.pyannote[1739].end 10054.05471875
transcript.pyannote[1740].speaker SPEAKER_07
transcript.pyannote[1740].start 10054.22346875
transcript.pyannote[1740].end 10054.71284375
transcript.pyannote[1741].speaker SPEAKER_07
transcript.pyannote[1741].start 10057.05846875
transcript.pyannote[1741].end 10058.15534375
transcript.pyannote[1742].speaker SPEAKER_10
transcript.pyannote[1742].start 10059.18471875
transcript.pyannote[1742].end 10060.88909375
transcript.pyannote[1743].speaker SPEAKER_03
transcript.pyannote[1743].start 10061.86784375
transcript.pyannote[1743].end 10061.88471875
transcript.pyannote[1744].speaker SPEAKER_03
transcript.pyannote[1744].start 10061.90159375
transcript.pyannote[1744].end 10065.71534375
transcript.pyannote[1745].speaker SPEAKER_06
transcript.pyannote[1745].start 10066.98096875
transcript.pyannote[1745].end 10075.84034375
transcript.pyannote[1746].speaker SPEAKER_10
transcript.pyannote[1746].start 10077.79784375
transcript.pyannote[1746].end 10078.23659375
transcript.pyannote[1747].speaker SPEAKER_06
transcript.pyannote[1747].start 10078.08471875
transcript.pyannote[1747].end 10078.92846875
transcript.pyannote[1748].speaker SPEAKER_07
transcript.pyannote[1748].start 10078.92846875
transcript.pyannote[1748].end 10078.96221875
transcript.pyannote[1749].speaker SPEAKER_10
transcript.pyannote[1749].start 10079.87346875
transcript.pyannote[1749].end 10082.03346875
transcript.pyannote[1750].speaker SPEAKER_07
transcript.pyannote[1750].start 10082.45534375
transcript.pyannote[1750].end 10086.01596875
transcript.pyannote[1751].speaker SPEAKER_10
transcript.pyannote[1751].start 10086.01596875
transcript.pyannote[1751].end 10088.36159375
transcript.pyannote[1752].speaker SPEAKER_12
transcript.pyannote[1752].start 10109.37096875
transcript.pyannote[1752].end 10141.65284375
transcript.pyannote[1753].speaker SPEAKER_12
transcript.pyannote[1753].start 10141.87221875
transcript.pyannote[1753].end 10172.85471875
transcript.pyannote[1754].speaker SPEAKER_11
transcript.pyannote[1754].start 10172.85471875
transcript.pyannote[1754].end 10173.37784375
transcript.pyannote[1755].speaker SPEAKER_10
transcript.pyannote[1755].start 10173.73221875
transcript.pyannote[1755].end 10178.67659375
transcript.pyannote[1756].speaker SPEAKER_12
transcript.pyannote[1756].start 10177.02284375
transcript.pyannote[1756].end 10177.74846875
transcript.pyannote[1757].speaker SPEAKER_00
transcript.pyannote[1757].start 10177.74846875
transcript.pyannote[1757].end 10177.78221875
transcript.pyannote[1758].speaker SPEAKER_10
transcript.pyannote[1758].start 10179.30096875
transcript.pyannote[1758].end 10179.63846875
transcript.pyannote[1759].speaker SPEAKER_10
transcript.pyannote[1759].start 10182.97971875
transcript.pyannote[1759].end 10183.95846875
transcript.pyannote[1760].speaker SPEAKER_10
transcript.pyannote[1760].start 10184.78534375
transcript.pyannote[1760].end 10185.49409375
transcript.pyannote[1761].speaker SPEAKER_10
transcript.pyannote[1761].start 10186.37159375
transcript.pyannote[1761].end 10190.91096875
transcript.pyannote[1762].speaker SPEAKER_10
transcript.pyannote[1762].start 10193.32409375
transcript.pyannote[1762].end 10193.64471875
transcript.pyannote[1763].speaker SPEAKER_03
transcript.pyannote[1763].start 10193.64471875
transcript.pyannote[1763].end 10193.66159375
transcript.pyannote[1764].speaker SPEAKER_05
transcript.pyannote[1764].start 10193.66159375
transcript.pyannote[1764].end 10194.87659375
transcript.pyannote[1765].speaker SPEAKER_03
transcript.pyannote[1765].start 10194.97784375
transcript.pyannote[1765].end 10195.02846875
transcript.pyannote[1766].speaker SPEAKER_10
transcript.pyannote[1766].start 10198.85909375
transcript.pyannote[1766].end 10200.76596875
transcript.pyannote[1767].speaker SPEAKER_10
transcript.pyannote[1767].start 10201.50846875
transcript.pyannote[1767].end 10202.03159375
transcript.pyannote[1768].speaker SPEAKER_10
transcript.pyannote[1768].start 10203.24659375
transcript.pyannote[1768].end 10203.85409375
transcript.pyannote[1769].speaker SPEAKER_10
transcript.pyannote[1769].start 10204.81596875
transcript.pyannote[1769].end 10205.52471875
transcript.pyannote[1770].speaker SPEAKER_10
transcript.pyannote[1770].start 10209.94596875
transcript.pyannote[1770].end 10210.57034375
transcript.pyannote[1771].speaker SPEAKER_10
transcript.pyannote[1771].start 10218.23159375
transcript.pyannote[1771].end 10219.07534375
transcript.pyannote[1772].speaker SPEAKER_10
transcript.pyannote[1772].start 10219.91909375
transcript.pyannote[1772].end 10221.10034375
transcript.pyannote[1773].speaker SPEAKER_10
transcript.pyannote[1773].start 10225.13346875
transcript.pyannote[1773].end 10226.36534375
transcript.pyannote[1774].speaker SPEAKER_10
transcript.pyannote[1774].start 10226.65221875
transcript.pyannote[1774].end 10227.95159375
transcript.pyannote[1775].speaker SPEAKER_10
transcript.pyannote[1775].start 10228.15409375
transcript.pyannote[1775].end 10228.67721875
transcript.pyannote[1776].speaker SPEAKER_10
transcript.pyannote[1776].start 10229.92596875
transcript.pyannote[1776].end 10230.73596875
transcript.pyannote[1777].speaker SPEAKER_10
transcript.pyannote[1777].start 10233.41909375
transcript.pyannote[1777].end 10235.62971875
transcript.pyannote[1778].speaker SPEAKER_10
transcript.pyannote[1778].start 10241.77221875
transcript.pyannote[1778].end 10242.59909375
transcript.pyannote[1779].speaker SPEAKER_10
transcript.pyannote[1779].start 10249.77096875
transcript.pyannote[1779].end 10250.74971875
transcript.pyannote[1780].speaker SPEAKER_13
transcript.pyannote[1780].start 10250.85096875
transcript.pyannote[1780].end 10258.29284375
transcript.pyannote[1781].speaker SPEAKER_13
transcript.pyannote[1781].start 10258.84971875
transcript.pyannote[1781].end 10336.52534375
transcript.pyannote[1782].speaker SPEAKER_13
transcript.pyannote[1782].start 10337.99346875
transcript.pyannote[1782].end 10342.14471875
transcript.pyannote[1783].speaker SPEAKER_13
transcript.pyannote[1783].start 10345.24971875
transcript.pyannote[1783].end 10347.88221875
transcript.pyannote[1784].speaker SPEAKER_13
transcript.pyannote[1784].start 10351.88159375
transcript.pyannote[1784].end 10352.48909375
transcript.pyannote[1785].speaker SPEAKER_04
transcript.pyannote[1785].start 10352.86034375
transcript.pyannote[1785].end 10353.02909375
transcript.pyannote[1786].speaker SPEAKER_04
transcript.pyannote[1786].start 10353.70409375
transcript.pyannote[1786].end 10353.99096875
transcript.pyannote[1787].speaker SPEAKER_13
transcript.pyannote[1787].start 10357.90596875
transcript.pyannote[1787].end 10373.00909375
transcript.pyannote[1788].speaker SPEAKER_13
transcript.pyannote[1788].start 10373.41409375
transcript.pyannote[1788].end 10376.90721875
transcript.pyannote[1789].speaker SPEAKER_13
transcript.pyannote[1789].start 10378.37534375
transcript.pyannote[1789].end 10381.22721875
transcript.pyannote[1790].speaker SPEAKER_13
transcript.pyannote[1790].start 10383.03284375
transcript.pyannote[1790].end 10394.50784375
transcript.pyannote[1791].speaker SPEAKER_13
transcript.pyannote[1791].start 10396.71846875
transcript.pyannote[1791].end 10397.68034375
transcript.pyannote[1792].speaker SPEAKER_10
transcript.pyannote[1792].start 10397.68034375
transcript.pyannote[1792].end 10397.69721875
transcript.pyannote[1793].speaker SPEAKER_13
transcript.pyannote[1793].start 10397.69721875
transcript.pyannote[1793].end 10397.74784375
transcript.pyannote[1794].speaker SPEAKER_10
transcript.pyannote[1794].start 10397.74784375
transcript.pyannote[1794].end 10397.76471875
transcript.pyannote[1795].speaker SPEAKER_06
transcript.pyannote[1795].start 10400.61659375
transcript.pyannote[1795].end 10405.81409375
transcript.pyannote[1796].speaker SPEAKER_06
transcript.pyannote[1796].start 10405.83096875
transcript.pyannote[1796].end 10406.03346875
transcript.pyannote[1797].speaker SPEAKER_06
transcript.pyannote[1797].start 10406.05034375
transcript.pyannote[1797].end 10406.69159375
transcript.pyannote[1798].speaker SPEAKER_06
transcript.pyannote[1798].start 10407.41721875
transcript.pyannote[1798].end 10408.91909375
transcript.pyannote[1799].speaker SPEAKER_06
transcript.pyannote[1799].start 10409.13846875
transcript.pyannote[1799].end 10413.03659375
transcript.pyannote[1800].speaker SPEAKER_13
transcript.pyannote[1800].start 10416.44534375
transcript.pyannote[1800].end 10456.64159375
transcript.pyannote[1801].speaker SPEAKER_13
transcript.pyannote[1801].start 10456.81034375
transcript.pyannote[1801].end 10457.08034375
transcript.pyannote[1802].speaker SPEAKER_13
transcript.pyannote[1802].start 10460.86034375
transcript.pyannote[1802].end 10508.48159375
transcript.pyannote[1803].speaker SPEAKER_07
transcript.pyannote[1803].start 10509.22409375
transcript.pyannote[1803].end 10512.56534375
transcript.pyannote[1804].speaker SPEAKER_13
transcript.pyannote[1804].start 10510.54034375
transcript.pyannote[1804].end 10510.75971875
transcript.pyannote[1805].speaker SPEAKER_13
transcript.pyannote[1805].start 10511.90721875
transcript.pyannote[1805].end 10512.27846875
transcript.pyannote[1806].speaker SPEAKER_07
transcript.pyannote[1806].start 10512.97034375
transcript.pyannote[1806].end 10528.37721875
transcript.pyannote[1807].speaker SPEAKER_07
transcript.pyannote[1807].start 10528.96784375
transcript.pyannote[1807].end 10530.06471875
transcript.pyannote[1808].speaker SPEAKER_13
transcript.pyannote[1808].start 10530.04784375
transcript.pyannote[1808].end 10530.45284375
transcript.pyannote[1809].speaker SPEAKER_07
transcript.pyannote[1809].start 10530.43596875
transcript.pyannote[1809].end 10531.22909375
transcript.pyannote[1810].speaker SPEAKER_13
transcript.pyannote[1810].start 10531.22909375
transcript.pyannote[1810].end 10566.76784375
transcript.pyannote[1811].speaker SPEAKER_07
transcript.pyannote[1811].start 10531.24596875
transcript.pyannote[1811].end 10531.27971875
transcript.pyannote[1812].speaker SPEAKER_13
transcript.pyannote[1812].start 10567.02096875
transcript.pyannote[1812].end 10577.01096875
transcript.pyannote[1813].speaker SPEAKER_07
transcript.pyannote[1813].start 10577.56784375
transcript.pyannote[1813].end 10590.46034375
transcript.pyannote[1814].speaker SPEAKER_05
transcript.pyannote[1814].start 10590.46034375
transcript.pyannote[1814].end 10591.16909375
transcript.pyannote[1815].speaker SPEAKER_05
transcript.pyannote[1815].start 10591.37159375
transcript.pyannote[1815].end 10592.02971875
transcript.pyannote[1816].speaker SPEAKER_07
transcript.pyannote[1816].start 10593.58221875
transcript.pyannote[1816].end 10606.89659375
transcript.pyannote[1817].speaker SPEAKER_03
transcript.pyannote[1817].start 10607.77409375
transcript.pyannote[1817].end 10608.68534375
transcript.pyannote[1818].speaker SPEAKER_06
transcript.pyannote[1818].start 10609.64721875
transcript.pyannote[1818].end 10618.37159375
transcript.pyannote[1819].speaker SPEAKER_06
transcript.pyannote[1819].start 10618.60784375
transcript.pyannote[1819].end 10620.59909375
transcript.pyannote[1820].speaker SPEAKER_06
transcript.pyannote[1820].start 10621.03784375
transcript.pyannote[1820].end 10635.97221875
transcript.pyannote[1821].speaker SPEAKER_06
transcript.pyannote[1821].start 10637.47409375
transcript.pyannote[1821].end 10637.79471875
transcript.pyannote[1822].speaker SPEAKER_06
transcript.pyannote[1822].start 10638.43596875
transcript.pyannote[1822].end 10641.27096875
transcript.pyannote[1823].speaker SPEAKER_06
transcript.pyannote[1823].start 10641.43971875
transcript.pyannote[1823].end 10644.62909375
transcript.pyannote[1824].speaker SPEAKER_06
transcript.pyannote[1824].start 10646.62034375
transcript.pyannote[1824].end 10648.30784375
transcript.pyannote[1825].speaker SPEAKER_06
transcript.pyannote[1825].start 10649.05034375
transcript.pyannote[1825].end 10650.06284375
transcript.pyannote[1826].speaker SPEAKER_06
transcript.pyannote[1826].start 10651.42971875
transcript.pyannote[1826].end 10657.03221875
transcript.pyannote[1827].speaker SPEAKER_07
transcript.pyannote[1827].start 10657.03221875
transcript.pyannote[1827].end 10659.95159375
transcript.pyannote[1828].speaker SPEAKER_07
transcript.pyannote[1828].start 10660.74471875
transcript.pyannote[1828].end 10664.71034375
transcript.pyannote[1829].speaker SPEAKER_07
transcript.pyannote[1829].start 10665.21659375
transcript.pyannote[1829].end 10679.23971875
transcript.pyannote[1830].speaker SPEAKER_07
transcript.pyannote[1830].start 10679.88096875
transcript.pyannote[1830].end 10681.56846875
transcript.pyannote[1831].speaker SPEAKER_12
transcript.pyannote[1831].start 10685.55096875
transcript.pyannote[1831].end 10692.04784375
transcript.pyannote[1832].speaker SPEAKER_13
transcript.pyannote[1832].start 10692.30096875
transcript.pyannote[1832].end 10703.74221875
transcript.pyannote[1833].speaker SPEAKER_13
transcript.pyannote[1833].start 10704.31596875
transcript.pyannote[1833].end 10706.10471875
transcript.pyannote[1834].speaker SPEAKER_13
transcript.pyannote[1834].start 10706.56034375
transcript.pyannote[1834].end 10713.79971875
transcript.pyannote[1835].speaker SPEAKER_07
transcript.pyannote[1835].start 10717.96784375
transcript.pyannote[1835].end 10718.38971875
transcript.pyannote[1836].speaker SPEAKER_07
transcript.pyannote[1836].start 10718.40659375
transcript.pyannote[1836].end 10718.44034375
transcript.pyannote[1837].speaker SPEAKER_12
transcript.pyannote[1837].start 10718.44034375
transcript.pyannote[1837].end 10720.97159375
transcript.pyannote[1838].speaker SPEAKER_03
transcript.pyannote[1838].start 10720.68471875
transcript.pyannote[1838].end 10720.93784375
transcript.pyannote[1839].speaker SPEAKER_07
transcript.pyannote[1839].start 10720.97159375
transcript.pyannote[1839].end 10721.03909375
transcript.pyannote[1840].speaker SPEAKER_03
transcript.pyannote[1840].start 10721.03909375
transcript.pyannote[1840].end 10721.76471875
transcript.pyannote[1841].speaker SPEAKER_12
transcript.pyannote[1841].start 10721.76471875
transcript.pyannote[1841].end 10722.62534375
transcript.pyannote[1842].speaker SPEAKER_03
transcript.pyannote[1842].start 10721.81534375
transcript.pyannote[1842].end 10721.86596875
transcript.pyannote[1843].speaker SPEAKER_07
transcript.pyannote[1843].start 10721.86596875
transcript.pyannote[1843].end 10721.88284375
transcript.pyannote[1844].speaker SPEAKER_12
transcript.pyannote[1844].start 10724.51534375
transcript.pyannote[1844].end 10726.16909375
transcript.pyannote[1845].speaker SPEAKER_12
transcript.pyannote[1845].start 10726.64159375
transcript.pyannote[1845].end 10726.96221875
transcript.pyannote[1846].speaker SPEAKER_03
transcript.pyannote[1846].start 10726.96221875
transcript.pyannote[1846].end 10727.11409375
transcript.pyannote[1847].speaker SPEAKER_03
transcript.pyannote[1847].start 10727.51909375
transcript.pyannote[1847].end 10728.02534375
transcript.pyannote[1848].speaker SPEAKER_03
transcript.pyannote[1848].start 10739.97284375
transcript.pyannote[1848].end 10747.93784375
transcript.pyannote[1849].speaker SPEAKER_05
transcript.pyannote[1849].start 10742.28471875
transcript.pyannote[1849].end 10743.92159375
transcript.pyannote[1850].speaker SPEAKER_12
transcript.pyannote[1850].start 10743.92159375
transcript.pyannote[1850].end 10743.97221875
transcript.pyannote[1851].speaker SPEAKER_05
transcript.pyannote[1851].start 10743.97221875
transcript.pyannote[1851].end 10744.61346875
transcript.pyannote[1852].speaker SPEAKER_03
transcript.pyannote[1852].start 10748.78159375
transcript.pyannote[1852].end 10750.26659375
transcript.pyannote[1853].speaker SPEAKER_03
transcript.pyannote[1853].start 10750.94159375
transcript.pyannote[1853].end 10752.03846875
transcript.pyannote[1854].speaker SPEAKER_04
transcript.pyannote[1854].start 10753.55721875
transcript.pyannote[1854].end 10755.48096875
transcript.pyannote[1855].speaker SPEAKER_13
transcript.pyannote[1855].start 10756.54409375
transcript.pyannote[1855].end 10764.71159375
transcript.pyannote[1856].speaker SPEAKER_10
transcript.pyannote[1856].start 10766.33159375
transcript.pyannote[1856].end 10766.58471875
transcript.pyannote[1857].speaker SPEAKER_13
transcript.pyannote[1857].start 10766.58471875
transcript.pyannote[1857].end 10766.70284375
transcript.pyannote[1858].speaker SPEAKER_10
transcript.pyannote[1858].start 10766.70284375
transcript.pyannote[1858].end 10766.73659375
transcript.pyannote[1859].speaker SPEAKER_13
transcript.pyannote[1859].start 10766.73659375
transcript.pyannote[1859].end 10766.75346875
transcript.pyannote[1860].speaker SPEAKER_10
transcript.pyannote[1860].start 10766.75346875
transcript.pyannote[1860].end 10767.02346875
transcript.pyannote[1861].speaker SPEAKER_13
transcript.pyannote[1861].start 10767.02346875
transcript.pyannote[1861].end 10775.20784375
transcript.pyannote[1862].speaker SPEAKER_10
transcript.pyannote[1862].start 10767.07409375
transcript.pyannote[1862].end 10768.96409375
transcript.pyannote[1863].speaker SPEAKER_10
transcript.pyannote[1863].start 10770.12846875
transcript.pyannote[1863].end 10770.55034375
transcript.pyannote[1864].speaker SPEAKER_13
transcript.pyannote[1864].start 10775.64659375
transcript.pyannote[1864].end 10778.02596875
transcript.pyannote[1865].speaker SPEAKER_10
transcript.pyannote[1865].start 10778.09346875
transcript.pyannote[1865].end 10781.67096875
transcript.pyannote[1866].speaker SPEAKER_13
transcript.pyannote[1866].start 10781.06346875
transcript.pyannote[1866].end 10782.16034375
transcript.pyannote[1867].speaker SPEAKER_10
transcript.pyannote[1867].start 10782.16034375
transcript.pyannote[1867].end 10782.27846875
transcript.pyannote[1868].speaker SPEAKER_13
transcript.pyannote[1868].start 10782.27846875
transcript.pyannote[1868].end 10782.44721875
transcript.pyannote[1869].speaker SPEAKER_10
transcript.pyannote[1869].start 10782.44721875
transcript.pyannote[1869].end 10782.51471875
transcript.pyannote[1870].speaker SPEAKER_13
transcript.pyannote[1870].start 10782.51471875
transcript.pyannote[1870].end 10783.51034375
transcript.pyannote[1871].speaker SPEAKER_10
transcript.pyannote[1871].start 10782.58221875
transcript.pyannote[1871].end 10791.08721875
transcript.pyannote[1872].speaker SPEAKER_10
transcript.pyannote[1872].start 10791.76221875
transcript.pyannote[1872].end 10794.59721875
transcript.pyannote[1873].speaker SPEAKER_10
transcript.pyannote[1873].start 10795.22159375
transcript.pyannote[1873].end 10795.74471875
transcript.pyannote[1874].speaker SPEAKER_10
transcript.pyannote[1874].start 10796.58846875
transcript.pyannote[1874].end 10796.85846875
transcript.pyannote[1875].speaker SPEAKER_10
transcript.pyannote[1875].start 10798.81596875
transcript.pyannote[1875].end 10802.08971875
transcript.pyannote[1876].speaker SPEAKER_10
transcript.pyannote[1876].start 10802.96721875
transcript.pyannote[1876].end 10803.57471875
transcript.pyannote[1877].speaker SPEAKER_10
transcript.pyannote[1877].start 10804.68846875
transcript.pyannote[1877].end 10807.52346875
transcript.pyannote[1878].speaker SPEAKER_10
transcript.pyannote[1878].start 10807.72596875
transcript.pyannote[1878].end 10808.02971875
transcript.pyannote[1879].speaker SPEAKER_10
transcript.pyannote[1879].start 10808.82284375
transcript.pyannote[1879].end 10810.12221875
transcript.pyannote[1880].speaker SPEAKER_13
transcript.pyannote[1880].start 10821.15846875
transcript.pyannote[1880].end 10821.51284375
transcript.pyannote[1881].speaker SPEAKER_10
transcript.pyannote[1881].start 10821.51284375
transcript.pyannote[1881].end 10821.52971875
transcript.pyannote[1882].speaker SPEAKER_13
transcript.pyannote[1882].start 10823.14971875
transcript.pyannote[1882].end 10835.02971875
transcript.pyannote[1883].speaker SPEAKER_13
transcript.pyannote[1883].start 10836.27846875
transcript.pyannote[1883].end 10847.14596875
transcript.pyannote[1884].speaker SPEAKER_10
transcript.pyannote[1884].start 10847.14596875
transcript.pyannote[1884].end 10847.50034375
transcript.pyannote[1885].speaker SPEAKER_13
transcript.pyannote[1885].start 10847.50034375
transcript.pyannote[1885].end 10848.02346875
transcript.pyannote[1886].speaker SPEAKER_10
transcript.pyannote[1886].start 10848.56346875
transcript.pyannote[1886].end 10850.67284375
transcript.pyannote[1887].speaker SPEAKER_10
transcript.pyannote[1887].start 10851.80346875
transcript.pyannote[1887].end 10854.19971875
transcript.pyannote[1888].speaker SPEAKER_10
transcript.pyannote[1888].start 10854.89159375
transcript.pyannote[1888].end 10858.08096875
transcript.pyannote[1889].speaker SPEAKER_10
transcript.pyannote[1889].start 10858.87409375
transcript.pyannote[1889].end 10859.49846875
transcript.pyannote[1890].speaker SPEAKER_10
transcript.pyannote[1890].start 10860.03846875
transcript.pyannote[1890].end 10861.74284375
transcript.pyannote[1891].speaker SPEAKER_10
transcript.pyannote[1891].start 10862.89034375
transcript.pyannote[1891].end 10865.15159375
transcript.pyannote[1892].speaker SPEAKER_10
transcript.pyannote[1892].start 10865.55659375
transcript.pyannote[1892].end 10866.04596875
transcript.pyannote[1893].speaker SPEAKER_13
transcript.pyannote[1893].start 10866.38346875
transcript.pyannote[1893].end 10866.63659375
transcript.pyannote[1894].speaker SPEAKER_13
transcript.pyannote[1894].start 10868.05409375
transcript.pyannote[1894].end 10869.04971875
transcript.pyannote[1895].speaker SPEAKER_04
transcript.pyannote[1895].start 10869.04971875
transcript.pyannote[1895].end 10869.08346875
transcript.pyannote[1896].speaker SPEAKER_13
transcript.pyannote[1896].start 10869.08346875
transcript.pyannote[1896].end 10869.10034375
transcript.pyannote[1897].speaker SPEAKER_10
transcript.pyannote[1897].start 10871.36159375
transcript.pyannote[1897].end 10872.62721875
transcript.pyannote[1898].speaker SPEAKER_10
transcript.pyannote[1898].start 10873.28534375
transcript.pyannote[1898].end 10874.16284375
transcript.pyannote[1899].speaker SPEAKER_04
transcript.pyannote[1899].start 10873.96034375
transcript.pyannote[1899].end 10873.99409375
transcript.pyannote[1900].speaker SPEAKER_03
transcript.pyannote[1900].start 10873.99409375
transcript.pyannote[1900].end 10876.28909375
transcript.pyannote[1901].speaker SPEAKER_03
transcript.pyannote[1901].start 10877.03159375
transcript.pyannote[1901].end 10878.78659375
transcript.pyannote[1902].speaker SPEAKER_03
transcript.pyannote[1902].start 10878.97221875
transcript.pyannote[1902].end 10879.02284375
transcript.pyannote[1903].speaker SPEAKER_03
transcript.pyannote[1903].start 10879.30971875
transcript.pyannote[1903].end 10880.22096875
transcript.pyannote[1904].speaker SPEAKER_03
transcript.pyannote[1904].start 10880.52471875
transcript.pyannote[1904].end 10880.55846875
transcript.pyannote[1905].speaker SPEAKER_10
transcript.pyannote[1905].start 10880.55846875
transcript.pyannote[1905].end 10882.39784375
transcript.pyannote[1906].speaker SPEAKER_03
transcript.pyannote[1906].start 10880.59221875
transcript.pyannote[1906].end 10880.71034375
transcript.pyannote[1907].speaker SPEAKER_03
transcript.pyannote[1907].start 10881.87471875
transcript.pyannote[1907].end 10881.95909375
transcript.pyannote[1908].speaker SPEAKER_03
transcript.pyannote[1908].start 10881.97596875
transcript.pyannote[1908].end 10885.03034375
transcript.pyannote[1909].speaker SPEAKER_03
transcript.pyannote[1909].start 10887.96659375
transcript.pyannote[1909].end 10888.03409375
transcript.pyannote[1910].speaker SPEAKER_06
transcript.pyannote[1910].start 10889.29971875
transcript.pyannote[1910].end 10891.76346875
transcript.pyannote[1911].speaker SPEAKER_10
transcript.pyannote[1911].start 10891.35846875
transcript.pyannote[1911].end 10892.96159375
transcript.pyannote[1912].speaker SPEAKER_10
transcript.pyannote[1912].start 10893.99096875
transcript.pyannote[1912].end 10895.57721875
transcript.pyannote[1913].speaker SPEAKER_10
transcript.pyannote[1913].start 10895.77971875
transcript.pyannote[1913].end 10896.20159375
transcript.pyannote[1914].speaker SPEAKER_10
transcript.pyannote[1914].start 10896.84284375
transcript.pyannote[1914].end 10899.22221875
transcript.pyannote[1915].speaker SPEAKER_10
transcript.pyannote[1915].start 10900.16721875
transcript.pyannote[1915].end 10900.69034375
transcript.pyannote[1916].speaker SPEAKER_10
transcript.pyannote[1916].start 10902.04034375
transcript.pyannote[1916].end 10903.03596875
transcript.pyannote[1917].speaker SPEAKER_10
transcript.pyannote[1917].start 10910.20784375
transcript.pyannote[1917].end 10915.28721875
transcript.pyannote[1918].speaker SPEAKER_13
transcript.pyannote[1918].start 10915.28721875
transcript.pyannote[1918].end 10925.78346875
transcript.pyannote[1919].speaker SPEAKER_10
transcript.pyannote[1919].start 10921.86846875
transcript.pyannote[1919].end 10921.88534375
transcript.pyannote[1920].speaker SPEAKER_04
transcript.pyannote[1920].start 10921.88534375
transcript.pyannote[1920].end 10921.93596875
transcript.pyannote[1921].speaker SPEAKER_10
transcript.pyannote[1921].start 10921.93596875
transcript.pyannote[1921].end 10922.20596875
transcript.pyannote[1922].speaker SPEAKER_04
transcript.pyannote[1922].start 10922.20596875
transcript.pyannote[1922].end 10922.22284375
transcript.pyannote[1923].speaker SPEAKER_00
transcript.pyannote[1923].start 10922.22284375
transcript.pyannote[1923].end 10922.25659375
transcript.pyannote[1924].speaker SPEAKER_10
transcript.pyannote[1924].start 10924.29846875
transcript.pyannote[1924].end 10924.33221875
transcript.pyannote[1925].speaker SPEAKER_04
transcript.pyannote[1925].start 10924.33221875
transcript.pyannote[1925].end 10924.34909375
transcript.pyannote[1926].speaker SPEAKER_10
transcript.pyannote[1926].start 10924.34909375
transcript.pyannote[1926].end 10924.93971875
transcript.pyannote[1927].speaker SPEAKER_13
transcript.pyannote[1927].start 10926.30659375
transcript.pyannote[1927].end 10929.69846875
transcript.pyannote[1928].speaker SPEAKER_10
transcript.pyannote[1928].start 10929.69846875
transcript.pyannote[1928].end 10933.84971875
transcript.pyannote[1929].speaker SPEAKER_10
transcript.pyannote[1929].start 10934.13659375
transcript.pyannote[1929].end 10935.45284375
transcript.pyannote[1930].speaker SPEAKER_10
transcript.pyannote[1930].start 10935.82409375
transcript.pyannote[1930].end 10937.46096875
transcript.pyannote[1931].speaker SPEAKER_10
transcript.pyannote[1931].start 10939.38471875
transcript.pyannote[1931].end 10940.21159375
transcript.pyannote[1932].speaker SPEAKER_10
transcript.pyannote[1932].start 10940.95409375
transcript.pyannote[1932].end 10942.08471875
transcript.pyannote[1933].speaker SPEAKER_06
transcript.pyannote[1933].start 10951.82159375
transcript.pyannote[1933].end 10954.31909375
transcript.pyannote[1934].speaker SPEAKER_03
transcript.pyannote[1934].start 10954.16721875
transcript.pyannote[1934].end 10954.28534375
transcript.pyannote[1935].speaker SPEAKER_03
transcript.pyannote[1935].start 10954.31909375
transcript.pyannote[1935].end 10955.09534375
transcript.pyannote[1936].speaker SPEAKER_05
transcript.pyannote[1936].start 10955.09534375
transcript.pyannote[1936].end 10955.16284375
transcript.pyannote[1937].speaker SPEAKER_06
transcript.pyannote[1937].start 10955.60159375
transcript.pyannote[1937].end 10963.14471875
transcript.pyannote[1938].speaker SPEAKER_06
transcript.pyannote[1938].start 10965.42284375
transcript.pyannote[1938].end 10968.52784375
transcript.pyannote[1939].speaker SPEAKER_06
transcript.pyannote[1939].start 10969.69221875
transcript.pyannote[1939].end 10970.38409375
transcript.pyannote[1940].speaker SPEAKER_06
transcript.pyannote[1940].start 10972.02096875
transcript.pyannote[1940].end 10977.67409375
transcript.pyannote[1941].speaker SPEAKER_13
transcript.pyannote[1941].start 10977.85971875
transcript.pyannote[1941].end 10978.65284375
transcript.pyannote[1942].speaker SPEAKER_06
transcript.pyannote[1942].start 10978.34909375
transcript.pyannote[1942].end 10978.51784375
transcript.pyannote[1943].speaker SPEAKER_13
transcript.pyannote[1943].start 10979.90159375
transcript.pyannote[1943].end 10981.15034375
transcript.pyannote[1944].speaker SPEAKER_13
transcript.pyannote[1944].start 10982.78721875
transcript.pyannote[1944].end 10993.21596875
transcript.pyannote[1945].speaker SPEAKER_06
transcript.pyannote[1945].start 10986.29721875
transcript.pyannote[1945].end 10986.46596875
transcript.pyannote[1946].speaker SPEAKER_15
transcript.pyannote[1946].start 10986.46596875
transcript.pyannote[1946].end 10986.48284375
transcript.pyannote[1947].speaker SPEAKER_06
transcript.pyannote[1947].start 10986.48284375
transcript.pyannote[1947].end 10986.97221875
transcript.pyannote[1948].speaker SPEAKER_00
transcript.pyannote[1948].start 10986.97221875
transcript.pyannote[1948].end 10987.02284375
transcript.pyannote[1949].speaker SPEAKER_05
transcript.pyannote[1949].start 10987.02284375
transcript.pyannote[1949].end 10987.66409375
transcript.pyannote[1950].speaker SPEAKER_00
transcript.pyannote[1950].start 10987.66409375
transcript.pyannote[1950].end 10988.27159375
transcript.pyannote[1951].speaker SPEAKER_00
transcript.pyannote[1951].start 10990.41471875
transcript.pyannote[1951].end 10990.43159375
transcript.pyannote[1952].speaker SPEAKER_15
transcript.pyannote[1952].start 10990.43159375
transcript.pyannote[1952].end 10990.76909375
transcript.pyannote[1953].speaker SPEAKER_00
transcript.pyannote[1953].start 10990.76909375
transcript.pyannote[1953].end 10990.78596875
transcript.pyannote[1954].speaker SPEAKER_15
transcript.pyannote[1954].start 10991.49471875
transcript.pyannote[1954].end 11006.86784375
transcript.pyannote[1955].speaker SPEAKER_13
transcript.pyannote[1955].start 11004.03284375
transcript.pyannote[1955].end 11004.48846875
transcript.pyannote[1956].speaker SPEAKER_13
transcript.pyannote[1956].start 11004.75846875
transcript.pyannote[1956].end 11004.77534375
transcript.pyannote[1957].speaker SPEAKER_13
transcript.pyannote[1957].start 11005.63596875
transcript.pyannote[1957].end 11010.25971875
transcript.pyannote[1958].speaker SPEAKER_13
transcript.pyannote[1958].start 11011.69409375
transcript.pyannote[1958].end 11012.50409375
transcript.pyannote[1959].speaker SPEAKER_13
transcript.pyannote[1959].start 11012.74034375
transcript.pyannote[1959].end 11013.06096875
transcript.pyannote[1960].speaker SPEAKER_10
transcript.pyannote[1960].start 11020.82346875
transcript.pyannote[1960].end 11022.12284375
transcript.pyannote[1961].speaker SPEAKER_13
transcript.pyannote[1961].start 11022.12284375
transcript.pyannote[1961].end 11022.13971875
transcript.pyannote[1962].speaker SPEAKER_10
transcript.pyannote[1962].start 11023.77659375
transcript.pyannote[1962].end 11023.79346875
transcript.pyannote[1963].speaker SPEAKER_13
transcript.pyannote[1963].start 11023.79346875
transcript.pyannote[1963].end 11024.58659375
transcript.pyannote[1964].speaker SPEAKER_13
transcript.pyannote[1964].start 11026.67909375
transcript.pyannote[1964].end 11069.06909375
transcript.pyannote[1965].speaker SPEAKER_13
transcript.pyannote[1965].start 11070.19971875
transcript.pyannote[1965].end 11081.52284375
transcript.pyannote[1966].speaker SPEAKER_05
transcript.pyannote[1966].start 11081.52284375
transcript.pyannote[1966].end 11083.85159375
transcript.pyannote[1967].speaker SPEAKER_05
transcript.pyannote[1967].start 11084.00346875
transcript.pyannote[1967].end 11084.03721875
transcript.pyannote[1968].speaker SPEAKER_13
transcript.pyannote[1968].start 11088.45846875
transcript.pyannote[1968].end 11153.79846875
transcript.pyannote[1969].speaker SPEAKER_10
transcript.pyannote[1969].start 11158.20284375
transcript.pyannote[1969].end 11158.42221875
transcript.pyannote[1970].speaker SPEAKER_10
transcript.pyannote[1970].start 11158.50659375
transcript.pyannote[1970].end 11158.54034375
transcript.pyannote[1971].speaker SPEAKER_10
transcript.pyannote[1971].start 11158.72596875
transcript.pyannote[1971].end 11158.96221875
transcript.pyannote[1972].speaker SPEAKER_16
transcript.pyannote[1972].start 11158.96221875
transcript.pyannote[1972].end 11159.63721875
transcript.pyannote[1973].speaker SPEAKER_05
transcript.pyannote[1973].start 11162.60721875
transcript.pyannote[1973].end 11163.24846875
transcript.pyannote[1974].speaker SPEAKER_15
transcript.pyannote[1974].start 11164.27784375
transcript.pyannote[1974].end 11198.07846875
transcript.pyannote[1975].speaker SPEAKER_15
transcript.pyannote[1975].start 11198.46659375
transcript.pyannote[1975].end 11205.63846875
transcript.pyannote[1976].speaker SPEAKER_15
transcript.pyannote[1976].start 11207.17409375
transcript.pyannote[1976].end 11208.67596875
transcript.pyannote[1977].speaker SPEAKER_10
transcript.pyannote[1977].start 11208.54096875
transcript.pyannote[1977].end 11209.35096875
transcript.pyannote[1978].speaker SPEAKER_15
transcript.pyannote[1978].start 11209.21596875
transcript.pyannote[1978].end 11211.51096875
transcript.pyannote[1979].speaker SPEAKER_10
transcript.pyannote[1979].start 11213.55284375
transcript.pyannote[1979].end 11214.97034375
transcript.pyannote[1980].speaker SPEAKER_10
transcript.pyannote[1980].start 11215.96596875
transcript.pyannote[1980].end 11217.36659375
transcript.pyannote[1981].speaker SPEAKER_10
transcript.pyannote[1981].start 11218.32846875
transcript.pyannote[1981].end 11221.18034375
transcript.pyannote[1982].speaker SPEAKER_13
transcript.pyannote[1982].start 11223.61034375
transcript.pyannote[1982].end 11232.33471875
transcript.pyannote[1983].speaker SPEAKER_13
transcript.pyannote[1983].start 11233.46534375
transcript.pyannote[1983].end 11233.49909375
transcript.pyannote[1984].speaker SPEAKER_10
transcript.pyannote[1984].start 11233.49909375
transcript.pyannote[1984].end 11233.76909375
transcript.pyannote[1985].speaker SPEAKER_10
transcript.pyannote[1985].start 11235.08534375
transcript.pyannote[1985].end 11236.45221875
transcript.pyannote[1986].speaker SPEAKER_10
transcript.pyannote[1986].start 11237.34659375
transcript.pyannote[1986].end 11241.32909375
transcript.pyannote[1987].speaker SPEAKER_10
transcript.pyannote[1987].start 11241.78471875
transcript.pyannote[1987].end 11244.33284375
transcript.pyannote[1988].speaker SPEAKER_10
transcript.pyannote[1988].start 11245.54784375
transcript.pyannote[1988].end 11247.31971875
transcript.pyannote[1989].speaker SPEAKER_10
transcript.pyannote[1989].start 11267.48534375
transcript.pyannote[1989].end 11271.80534375
transcript.pyannote[1990].speaker SPEAKER_10
transcript.pyannote[1990].start 11272.64909375
transcript.pyannote[1990].end 11273.32409375
transcript.pyannote[1991].speaker SPEAKER_10
transcript.pyannote[1991].start 11277.34034375
transcript.pyannote[1991].end 11280.07409375
transcript.pyannote[1992].speaker SPEAKER_10
transcript.pyannote[1992].start 11281.30596875
transcript.pyannote[1992].end 11281.50846875
transcript.pyannote[1993].speaker SPEAKER_13
transcript.pyannote[1993].start 11282.25096875
transcript.pyannote[1993].end 11282.84159375
transcript.pyannote[1994].speaker SPEAKER_10
transcript.pyannote[1994].start 11282.84159375
transcript.pyannote[1994].end 11284.27596875
transcript.pyannote[1995].speaker SPEAKER_13
transcript.pyannote[1995].start 11283.02721875
transcript.pyannote[1995].end 11283.66846875
transcript.pyannote[1996].speaker SPEAKER_13
transcript.pyannote[1996].start 11283.75284375
transcript.pyannote[1996].end 11284.76534375
transcript.pyannote[1997].speaker SPEAKER_13
transcript.pyannote[1997].start 11285.23784375
transcript.pyannote[1997].end 11288.88284375
transcript.pyannote[1998].speaker SPEAKER_13
transcript.pyannote[1998].start 11290.11471875
transcript.pyannote[1998].end 11372.58284375
transcript.pyannote[1999].speaker SPEAKER_13
transcript.pyannote[1999].start 11373.02159375
transcript.pyannote[1999].end 11391.19596875
transcript.pyannote[2000].speaker SPEAKER_13
transcript.pyannote[2000].start 11393.20409375
transcript.pyannote[2000].end 11393.45721875
transcript.pyannote[2001].speaker SPEAKER_10
transcript.pyannote[2001].start 11393.45721875
transcript.pyannote[2001].end 11393.47409375
transcript.pyannote[2002].speaker SPEAKER_10
transcript.pyannote[2002].start 11395.63409375
transcript.pyannote[2002].end 11395.83659375
transcript.pyannote[2003].speaker SPEAKER_10
transcript.pyannote[2003].start 11397.06846875
transcript.pyannote[2003].end 11399.66721875
transcript.pyannote[2004].speaker SPEAKER_10
transcript.pyannote[2004].start 11399.90346875
transcript.pyannote[2004].end 11401.25346875
transcript.pyannote[2005].speaker SPEAKER_10
transcript.pyannote[2005].start 11401.89471875
transcript.pyannote[2005].end 11402.14784375
transcript.pyannote[2006].speaker SPEAKER_10
transcript.pyannote[2006].start 11407.83471875
transcript.pyannote[2006].end 11413.80846875
transcript.pyannote[2007].speaker SPEAKER_05
transcript.pyannote[2007].start 11409.26909375
transcript.pyannote[2007].end 11409.28596875
transcript.pyannote[2008].speaker SPEAKER_10
transcript.pyannote[2008].start 11414.90534375
transcript.pyannote[2008].end 11415.20909375
transcript.pyannote[2009].speaker SPEAKER_10
transcript.pyannote[2009].start 11418.92159375
transcript.pyannote[2009].end 11420.98034375
transcript.pyannote[2010].speaker SPEAKER_13
transcript.pyannote[2010].start 11427.76409375
transcript.pyannote[2010].end 11484.34596875
transcript.pyannote[2011].speaker SPEAKER_10
transcript.pyannote[2011].start 11485.62846875
transcript.pyannote[2011].end 11486.47221875
transcript.pyannote[2012].speaker SPEAKER_10
transcript.pyannote[2012].start 11486.96159375
transcript.pyannote[2012].end 11488.02471875
transcript.pyannote[2013].speaker SPEAKER_10
transcript.pyannote[2013].start 11489.72909375
transcript.pyannote[2013].end 11490.31971875
transcript.pyannote[2014].speaker SPEAKER_10
transcript.pyannote[2014].start 11496.17534375
transcript.pyannote[2014].end 11498.03159375
transcript.pyannote[2015].speaker SPEAKER_10
transcript.pyannote[2015].start 11498.26784375
transcript.pyannote[2015].end 11498.94284375
transcript.pyannote[2016].speaker SPEAKER_10
transcript.pyannote[2016].start 11499.53346875
transcript.pyannote[2016].end 11506.99221875
transcript.pyannote[2017].speaker SPEAKER_10
transcript.pyannote[2017].start 11507.78534375
transcript.pyannote[2017].end 11509.23659375
transcript.pyannote[2018].speaker SPEAKER_10
transcript.pyannote[2018].start 11513.37096875
transcript.pyannote[2018].end 11515.51409375
transcript.pyannote[2019].speaker SPEAKER_10
transcript.pyannote[2019].start 11516.05409375
transcript.pyannote[2019].end 11518.02846875
transcript.pyannote[2020].speaker SPEAKER_10
transcript.pyannote[2020].start 11524.37346875
transcript.pyannote[2020].end 11528.37284375
transcript.pyannote[2021].speaker SPEAKER_10
transcript.pyannote[2021].start 11529.31784375
transcript.pyannote[2021].end 11530.56659375
transcript.pyannote[2022].speaker SPEAKER_10
transcript.pyannote[2022].start 11537.18159375
transcript.pyannote[2022].end 11539.15596875
transcript.pyannote[2023].speaker SPEAKER_10
transcript.pyannote[2023].start 11540.21909375
transcript.pyannote[2023].end 11543.07096875
transcript.pyannote[2024].speaker SPEAKER_10
transcript.pyannote[2024].start 11546.39534375
transcript.pyannote[2024].end 11546.46284375
transcript.pyannote[2025].speaker SPEAKER_10
transcript.pyannote[2025].start 11546.88471875
transcript.pyannote[2025].end 11547.62721875
transcript.pyannote[2026].speaker SPEAKER_10
transcript.pyannote[2026].start 11552.60534375
transcript.pyannote[2026].end 11553.24659375
transcript.pyannote[2027].speaker SPEAKER_10
transcript.pyannote[2027].start 11553.34784375
transcript.pyannote[2027].end 11555.15346875
transcript.pyannote[2028].speaker SPEAKER_10
transcript.pyannote[2028].start 11555.52471875
transcript.pyannote[2028].end 11558.35971875
transcript.pyannote[2029].speaker SPEAKER_10
transcript.pyannote[2029].start 11559.37221875
transcript.pyannote[2029].end 11563.72596875
transcript.pyannote[2030].speaker SPEAKER_10
transcript.pyannote[2030].start 11563.75971875
transcript.pyannote[2030].end 11564.01284375
transcript.pyannote[2031].speaker SPEAKER_13
transcript.pyannote[2031].start 11566.47659375
transcript.pyannote[2031].end 11597.52659375
transcript.pyannote[2032].speaker SPEAKER_10
transcript.pyannote[2032].start 11598.38721875
transcript.pyannote[2032].end 11600.05784375
transcript.pyannote[2033].speaker SPEAKER_10
transcript.pyannote[2033].start 11600.91846875
transcript.pyannote[2033].end 11606.94284375
transcript.pyannote[2034].speaker SPEAKER_10
transcript.pyannote[2034].start 11607.38159375
transcript.pyannote[2034].end 11609.06909375
transcript.pyannote[2035].speaker SPEAKER_10
transcript.pyannote[2035].start 11610.25034375
transcript.pyannote[2035].end 11610.60471875
transcript.pyannote[2036].speaker SPEAKER_10
transcript.pyannote[2036].start 11618.94096875
transcript.pyannote[2036].end 11619.22784375
transcript.pyannote[2037].speaker SPEAKER_10
transcript.pyannote[2037].start 11619.98721875
transcript.pyannote[2037].end 11620.74659375
transcript.pyannote[2038].speaker SPEAKER_10
transcript.pyannote[2038].start 11621.94471875
transcript.pyannote[2038].end 11622.24846875
transcript.pyannote[2039].speaker SPEAKER_10
transcript.pyannote[2039].start 11622.43409375
transcript.pyannote[2039].end 11624.99909375
transcript.pyannote[2040].speaker SPEAKER_10
transcript.pyannote[2040].start 11635.34346875
transcript.pyannote[2040].end 11636.55846875
transcript.pyannote[2041].speaker SPEAKER_10
transcript.pyannote[2041].start 11638.00971875
transcript.pyannote[2041].end 11639.10659375
transcript.pyannote[2042].speaker SPEAKER_00
transcript.pyannote[2042].start 11664.40221875
transcript.pyannote[2042].end 11665.07721875
transcript.pyannote[2043].speaker SPEAKER_03
transcript.pyannote[2043].start 11684.97284375
transcript.pyannote[2043].end 11685.04034375
transcript.pyannote[2044].speaker SPEAKER_03
transcript.pyannote[2044].start 11685.96846875
transcript.pyannote[2044].end 11686.03596875
transcript.pyannote[2045].speaker SPEAKER_05
transcript.pyannote[2045].start 11699.01284375
transcript.pyannote[2045].end 11699.21534375
transcript.pyannote[2046].speaker SPEAKER_05
transcript.pyannote[2046].start 11699.38409375
transcript.pyannote[2046].end 11699.40096875
transcript.pyannote[2047].speaker SPEAKER_05
transcript.pyannote[2047].start 11699.55284375
transcript.pyannote[2047].end 11699.65409375
transcript.pyannote[2048].speaker SPEAKER_03
transcript.pyannote[2048].start 11699.65409375
transcript.pyannote[2048].end 11700.02534375
transcript.pyannote[2049].speaker SPEAKER_05
transcript.pyannote[2049].start 11700.02534375
transcript.pyannote[2049].end 11701.10534375
transcript.pyannote[2050].speaker SPEAKER_05
transcript.pyannote[2050].start 11701.61159375
transcript.pyannote[2050].end 11703.36659375
transcript.pyannote[2051].speaker SPEAKER_05
transcript.pyannote[2051].start 11832.96659375
transcript.pyannote[2051].end 11833.74284375
transcript.whisperx[0].start 271.723
transcript.whisperx[0].end 272.168
transcript.whisperx[0].text 阿里巴巴
transcript.whisperx[1].start 788.622
transcript.whisperx[1].end 794.716
transcript.whisperx[1].text 1月23整理的版本跟上個禮拜有什麼不一樣一樣的 好吧
transcript.whisperx[2].start 880.506
transcript.whisperx[2].end 883.787
transcript.whisperx[2].text 可以請大家快一點嗎 聯絡一下因為等一下又要表決啦靖俊 你們聯絡了嗎 你們民眾黨 好
transcript.whisperx[3].start 1373.252
transcript.whisperx[3].end 1394.739
transcript.whisperx[3].text 好 我們這個協商會議開始那現在繼續來協商兒童法現在介紹在場委員 第一位是王振旭委員第二位是林月琴委員第三位是林淑雯委員第四位是陳昭智委員現在介紹在場官員 社長呂健德
transcript.whisperx[4].start 1396.549
transcript.whisperx[4].end 1407.755
transcript.whisperx[4].text 社家署署長周道軍國會參事許子惠內政部副政司檢證視察蘇志門警政署專員王玉俊蕭翁署代理科長莊念恩
transcript.whisperx[5].start 1418.363
transcript.whisperx[5].end 1429.588
transcript.whisperx[5].text 國土署科長陳雅芳法務部參事汪蘭君還有教育部國務前署部署長郭芝穎勞動部勞動福祉退休師專門委員李娟鳳勞動條件就業平等師科長楊怡婷勞動關係師市長吳哲
transcript.whisperx[6].start 1444.349
transcript.whisperx[6].end 1461.182
transcript.whisperx[6].text 余 對不起 余哲偉好 抱歉 謝謝建議部人事處專門委員張雅慧是財政部國產署組長吳秋梅護睡署科長蔡旭毅謝謝國庫署科長紅培錫對了 謝謝
transcript.whisperx[7].start 1474.374
transcript.whisperx[7].end 1487.477
transcript.whisperx[7].text 監統監督管理委員會保險局科長吳亮澄好謝謝原住民社會原住民委員會社會福利署副處長洪玲謝謝行政人事行政總署專門委員謝艾倫謝謝各自保護委員會籌備處科長陳錦怡好謝謝
transcript.whisperx[8].start 1496.977
transcript.whisperx[8].end 1519.669
transcript.whisperx[8].text 那這個本案具專業性 希望今日各保留條文盡量協商通過 那請委員綜合考量 衛福部也隨時溝通那今天進行的方式仍請衛福部先做說明再請各委員提出意見最後會眾協商結論 請各黨團簽名那衛福部提出之相關建議條文也在各位委員的桌上請大家參閱
transcript.whisperx[9].start 1523.726
transcript.whisperx[9].end 1529.178
transcript.whisperx[9].text 我們上一次進行是到第30條但是還沒有結論那是不是再請衛福部來針對第30條先做說明
transcript.whisperx[10].start 1535.665
transcript.whisperx[10].end 1560.68
transcript.whisperx[10].text 第三十條的部分我們是建議當時在討論的過程中其實主要是針對行政院版的草案的第三項有關這個直轄市縣市的補助的部分那因為行政院版本當時在行政院送出來的時候當時這個有關在預算財力的部分確實是和現在審議當時時空條件有一些改變
transcript.whisperx[11].start 1561.44
transcript.whisperx[11].end 1580.629
transcript.whisperx[11].text 所以我們當時的建議是不是能夠改成德不過在歷次討論的其中委員也給了我們很多建議所以我們在對於第三項的文字我們做了一個小幅度的調整來徵詢委員的意見我們第三項的文字建議修正為中央主管機關因事財力疾次
transcript.whisperx[12].start 1581.409
transcript.whisperx[12].end 1601.963
transcript.whisperx[12].text 補助慈霞市縣市主管機關建置前項網際網路系統文字上面再做一個修飾請委員這邊來做一個審視另外對於第四項的部分也參考了王正聚委員的提議我們在這個授權的四項裡面在第四項的文字裡面我們直接宣讀一下
transcript.whisperx[13].start 1602.583
transcript.whisperx[13].end 1629.674
transcript.whisperx[13].text 第一項監視錄影設備設置區域應備功能管理人員配置攝錄影音資料之收集處理利用查閱條件以下增列檢查抽查機制這六個字然後接到原文與方式然後保存與銷毀方式與第二項網際網路系統建置之資訊安全管理及其他相關事項之辦法由中央主管機關定之以上
transcript.whisperx[14].start 1631.257
transcript.whisperx[14].end 1639.907
transcript.whisperx[14].text 好 謝謝 這是上次處理30條最後的兩位委員的意見兩位網友的意見看這樣可以嗎來 請次長
transcript.whisperx[15].start 1642.541
transcript.whisperx[15].end 1661.783
transcript.whisperx[15].text 主席 也是在座各位委員大家早上那個我這條我又簡單說明一下我們知道審判的這個裁判法通過後其實有很多地方尤其是六都其實增加了很多我估計台北市只有台北市能增加四百十六億我是覺得說
transcript.whisperx[16].start 1663.365
transcript.whisperx[16].end 1678.642
transcript.whisperx[16].text 當然大家都知道我們這條大家都支持但重點就是這個財力分歧我們認為可能還是要堅持這個對於中央而言我們是損有餘而補不足有些人比較堅固的比較偏遠的我們當然要向他們報仇但是一些好事
transcript.whisperx[17].start 1683.663
transcript.whisperx[17].end 1690.589
transcript.whisperx[17].text 好謝謝 請王振旭委員好 謝謝主席 還有委員 各位官員大家早很感謝在30條裡面把檢查跟搜查機制都納進來檢查基本上就是雲端檢查啦 不用去現場
transcript.whisperx[18].start 1709.946
transcript.whisperx[18].end 1729.543
transcript.whisperx[18].text 那抽查的話一群委員是很期待能夠有維持抽查機制所以很謝謝我們能夠把這兩個機制都納進來讓整體的這些不管是雲端資料也好或者現場的資料都能夠得到很好的保護再度感謝 謝謝好 謝謝王委員 請陳昭志委員
transcript.whisperx[19].start 1733.767
transcript.whisperx[19].end 1759.597
transcript.whisperx[19].text 以下我就代表民眾黨還有因為一定有形成不可出席的王育民委員一起來表達意見我們真的非常 原則上非常支持院版願意將這個錄音帶資料傳送到這個主管機關的建制網路系統這個是非常重要的因為我們近日也看到了一些被變造過的一些影片我們近日也開了記者會所以事實上這個是非常有必要
transcript.whisperx[20].start 1760.257
transcript.whisperx[20].end 1781.853
transcript.whisperx[20].text 那有關這個中央機關要補助的問題我們還是堅持應該中央主管機關應補助直轄縣市第一個就是說我們當然也感謝這個所謂的這個管理整個使用管理都有中央政府來這是第一次在做這件事情使用來管理做這個建立一個非常明確的指引讓全國在執行的時候有一致性
transcript.whisperx[21].start 1782.814
transcript.whisperx[21].end 1800.427
transcript.whisperx[21].text 那這是第一次我們來執行這樣的一個制度那我想在政府如果中央政府來直接來統籌來補助的話我想在任何設備的品質規格甚至溢價能力因為特有所這個特有機構他們這個
transcript.whisperx[22].start 1802.128
transcript.whisperx[22].end 1818.416
transcript.whisperx[22].text 大小規模不一樣整個叫他們這個第一次第一回合因為這個他也有他相當的保用期間我們是希望說這個部分中央市不要吝嗇中央主管機關就是這個這一次對這個第一次我們要設立這樣的一個做法跟這樣的一個設備能夠予以這個補助剛才次長說比較有錢的比較沒錢的這很好說啦比較有錢的人也是他要顧很多事情啦顧很多人啦就這個說法是不夠客觀啦
transcript.whisperx[23].start 1830.741
transcript.whisperx[23].end 1847.93
transcript.whisperx[23].text 所以我想說統籌採購 統籌管理品質 規格 溢價能力政府可以溢得最好那政府來溢這個部分來這個設備的這個補助的部分我相信到最後沒有大家預期想像高雖然我不知道現在是多少錢但絕對不是大概往傳的那個
transcript.whisperx[24].start 1848.67
transcript.whisperx[24].end 1868.507
transcript.whisperx[24].text 要花上那麼多錢這個是我們希望這一會能是由中央政府來直接來執行然後也謝謝你們對於這個指引能夠做一些確立因為這個我們過去最擔心交付各地方縣政府來執行然後但事實上做法不一造成這個其實沒有被平等的保護以上 謝謝
transcript.whisperx[25].start 1870.888
transcript.whisperx[25].end 1891.415
transcript.whisperx[25].text 好 謝謝 請林玉琴委員完了之後再請王玉敏委員好 謝謝因為第三十條有把我很在意的檢查跟抽查機制納入我也很樂見就是目前寫的事實上是之前事實上是本來我們是希望說用德
transcript.whisperx[26].start 1892.435
transcript.whisperx[26].end 1918.552
transcript.whisperx[26].text 那我覺得有一些考量你們用因財力是財力分級那的確就會讓有些縣市真的事實上是財力比較單薄的可以得到幫忙然後來建置這個系統因為這個系統也是攸關孩子的安全當然我覺得財力已經很足夠的尤其事實上目前像新北市他自己就已經做了所以那表示什麼他自己財力上本來就足夠
transcript.whisperx[27].start 1919.11
transcript.whisperx[27].end 1938.619
transcript.whisperx[27].text 可以去因應這件事情啊所以沒有道理說那現在做不到啊那反而是把錢用在真的事實上常常我們自己在講說當錢有限的時候一定是給弱勢優先嘛那以如果財力分級的話就是說那我們讓那些現在是真的他做不了的那先來做
transcript.whisperx[28].start 1939.279
transcript.whisperx[28].end 1939.54
transcript.whisperx[28].text 來 請王一鳴委員
transcript.whisperx[29].start 1957.782
transcript.whisperx[29].end 1982.08
transcript.whisperx[29].text 好 謝謝昭偉有關於30條中央主管機關應補助直轄縣市主管機關建置前向網際網路系統今天衛福部提出來的是財力的集賜那我提醒各位前一陣子引發爭議的是台東縣台東縣大家知道他的財力在第幾級嗎市長你知道嗎
transcript.whisperx[30].start 1987.203
transcript.whisperx[30].end 2001.122
transcript.whisperx[30].text 你有沒有看到縣市首長跳腳就是不知道這個財力的分級是怎麼分你說台東縣會跟台北市市在財力分級是
transcript.whisperx[31].start 2002.283
transcript.whisperx[31].end 2022.32
transcript.whisperx[31].text 屬同一級這個不只是地方首長跳腳我想如果欠缺一個很公平的財力分級制度同樣引發爭議嘉義市也抗議他覺得模範生好不容易去還債的然後被提升之後就是懲罰因為提升之後是中央就不補助
transcript.whisperx[32].start 2023.061
transcript.whisperx[32].end 2049.028
transcript.whisperx[32].text 所以其實整個經濟補助議題還很多剛剛大家一直提財化法現在不附屬財化法不附屬的情況底下現在已經變成僵局有重新劃分嗎現在就是僵在那裡所以我上次其實已經提過了我們在這邊的法條如果按原來衛福部你最早的版本你本來就覺得在這件事情要做好
transcript.whisperx[33].start 2049.548
transcript.whisperx[33].end 2069.876
transcript.whisperx[33].text 做好就是中央扛責我真的覺得不用再旁生枝節這個原則就是最簡單的就是中央要確保這件事情做好那就是中央去督導而且直接支援給直轄縣市來做相關的網際網路建制的工作
transcript.whisperx[34].start 2070.456
transcript.whisperx[34].end 2088.533
transcript.whisperx[34].text 標準必須是一致的他絕對不允許有的財力做得比較好有的財力差做得比較差所以最好的就是統一的一個標準那其他你要彈性的其他比較無關乎這樣的一個網路安全的事情其他的計畫事項你要彈性我都沒有意見
transcript.whisperx[35].start 2089.193
transcript.whisperx[35].end 2112.575
transcript.whisperx[35].text 但是這件事情是我們在這一次的耳托專法裡面我們覺得是重中之重而且也要求業者必須配合更何況還有一些業者現在還在抗議中那你這不是徒增困擾嗎我真的覺得就是回到原來的最原始你們一開始由衛福部提出來的就是中央主管機關應補助職銷
transcript.whisperx[36].start 2114.437
transcript.whisperx[36].end 2137.59
transcript.whisperx[36].text 是縣市主管機關建置前向網際網路系統這樣就是最單純的那如果是這個版本的話我們黨還是沒有辦法接受那就繼續保留 謝謝來 還有這樣要回應嗎 還是還是各位拿其他意見
transcript.whisperx[37].start 2140.423
transcript.whisperx[37].end 2167.465
transcript.whisperx[37].text 沒關係 這個部分我們了解了 了解委員的意見我們也尊重委員會這邊的冠軍意向 謝謝好 県總委員會不堅持就是回到原來那個行政院提出來的版本我真的覺得這樣最單純 也讓這個修法更順利那真的不要在這邊爭議了 對了
transcript.whisperx[38].start 2170.427
transcript.whisperx[38].end 2193.314
transcript.whisperx[38].text 如果回到行政院的版本國民黨同意就變成中央主管機關應補助直轄市這個市財力集市就刪掉了好
transcript.whisperx[39].start 2198.134
transcript.whisperx[39].end 2202.322
transcript.whisperx[39].text 不是先保留啦 好不好 謝謝好 謝謝 先第30條先保留好 我們繼續來處理第34條請行政單位先做說明
transcript.whisperx[40].start 2211.915
transcript.whisperx[40].end 2229.584
transcript.whisperx[40].text 行政院版草案第34條是規範有關托育機構應該公開的一些資訊那先前在討論的過程中那比較這個一直在保留的核心的點是在於有關林月琴委員是希望一直希望說對於這個
transcript.whisperx[41].start 2231.586
transcript.whisperx[41].end 2241.773
transcript.whisperx[41].text 聯運勤委員的版本對於托育機構的行政組織以及原額編制的部分能夠納到公開的事項裡面去而經過討論我們是覺得因為這個像是因為托育機構的組織跟原額編制尤其會涉及到
transcript.whisperx[42].start 2248.618
transcript.whisperx[42].end 2265.587
transcript.whisperx[42].text 他的小朋友在邊班跟老師搭配的部分可能變動的頻率會比較高所以為了避免因為這一項條文是帶有罰則的我們建議是不是有可能把這個條文把這個部分我們把它單獨抽出來單獨寫成一項寫在34條的第二項
transcript.whisperx[43].start 2269.409
transcript.whisperx[43].end 2298.077
transcript.whisperx[43].text 它的收益人員的收託配置情形要單獨在機構內的明顯處所來做揭示那這樣的話呢那這個條文呢我們是採取它的這個對它後面的效力是用要求先限期改善那如果沒有改善再做處罰那這樣的話這個稍微能夠平衡一下這樣的一個避免一開始沒有這個公開就處罰這樣子會可能稍微對機構來說可能是稍微比較嚴格的一個狀況
transcript.whisperx[44].start 2299.197
transcript.whisperx[44].end 2309.762
transcript.whisperx[44].text 這個部分有先跟林委員大概有口頭有報告過就這個部分來爭取各位委員的意見 以上來 林議員請回
transcript.whisperx[45].start 2312.557
transcript.whisperx[45].end 2330.628
transcript.whisperx[45].text 这个我们有先沟通过的确我当时因为考虑到过往的一个经验如果不太知道的话甚至超收或是整个或应中性的状况的话家长不太了解的话那就会造成孩子可能在这个园所事实上是被超收照顾或单一个
transcript.whisperx[46].start 2331.946
transcript.whisperx[46].end 2356.551
transcript.whisperx[46].text 那個所謂班群是這樣人數這樣比較多如果有這樣的配置的話講清楚那的確當然托嬰中心比我們的幼兒園變動性比較高所以我同意就是拉到第二項裡面來放然後能夠讓不過未來我希望憑鑒指標一定要講清楚說明白把這一項納進去以上好那這個
transcript.whisperx[47].start 2358.361
transcript.whisperx[47].end 2372.885
transcript.whisperx[47].text 34條就依照林岳勤委員的建議的文字來做修正通過 好 謝謝是不是來 請行政機關列印出來給委員確認好 OK第34條 整條宣讀如下第34條 托育機構應公開下列資訊一 托育目標及內容二 托育相關人員之姓名 學歷 經歷與證照
transcript.whisperx[48].start 2387.529
transcript.whisperx[48].end 2411.472
transcript.whisperx[48].text 三 經直轄市縣市主管機關核定之收託人數及實際收託人數四 依第31條訂定之管理計畫五 辦理團體保險之情形六 收費退費項目及金額七 其他各級主管機關公告應公開之事項第二項 托育機構應將托育人員及收託兒童之配置情形揭示於機構內明顯處所供家長查閱以上
transcript.whisperx[49].start 2412.912
transcript.whisperx[49].end 2439.401
transcript.whisperx[49].text 好我剛剛有仔細的聽署長有關於第二款托育相關人員之姓名學歷經歷這邊字的是寫或可是剛剛署長念的是語所以要確定一下或是語或證照抱歉確認好還是請行政機關要把那個文字列印出來然後分給委員來做這個最後的確認我們這一條就照這樣修正後通過好謝謝
transcript.whisperx[50].start 2443.94
transcript.whisperx[50].end 2468.284
transcript.whisperx[50].text 來繼續處理這個44條是委員您所提主席我問一下因為一般來講過去託興中心都是放證照可是你現在為什麼是經歷或證照因為經歷有時候事實上這個經歷是很難查證的
transcript.whisperx[51].start 2478.394
transcript.whisperx[51].end 2506.375
transcript.whisperx[51].text 經歷怎麼查證除非對方有前一所 原所開的那如果是私立的托孕中心那這個經歷到底有沒有幫助因為昨天我們才開一個記者會二十年來都是沒有二十年來這個未具合格的教保人員在幼兒園待了二十年那所以它證照相對會是重要可是你現在是或
transcript.whisperx[52].start 2508.945
transcript.whisperx[52].end 2520.136
transcript.whisperx[52].text 經歷或證照 那個只要寫經歷就可以嗎 因為是或證照啊那過去我們在去託驗中心評鑑大概看到的都是證照你考慮的是什麼
transcript.whisperx[53].start 2531.773
transcript.whisperx[53].end 2555.186
transcript.whisperx[53].text 這個部分跟委員報告一下我們這個還是參考原來的這個院版的條文的文字我們直接去引用過來不過如果是對應到目前我們對於托育人員的資格的話那因為托育人員資格現在未來我們設計的大概就是只有兩條路徑它一個就是學歷
transcript.whisperx[54].start 2556.127
transcript.whisperx[54].end 2575.189
transcript.whisperx[54].text 那第二個就是技術式證照那大概就是從這兩個路徑進來以前單獨去這個保姆的訓練可以來做托育工作的這條路我們未來會就是它會落日技術會落日那這一塊的話那現在因為
transcript.whisperx[55].start 2577.19
transcript.whisperx[55].end 2599.843
transcript.whisperx[55].text 因為在後面負責的部分的條文現在還會有一個過渡期間他以往還沒有拿到只是他還沒有拿到技術資證或者還沒有學歷畢業的話我們現在是有一個過渡期間的部分所以這個還會有少量的新法施行以後新的托育人員他應該只會有學歷和證照
transcript.whisperx[56].start 2601.804
transcript.whisperx[56].end 2617.983
transcript.whisperx[56].text 但是在這個法律過之前舊的可能還會有一些少量的這兩個可能會有一個擇一的狀況我們建議在短時間是不是先做保留那未來在一定的程度這個過渡期過了以後那我們透過解釋將來這個所謂的經歷的部分
transcript.whisperx[57].start 2620.305
transcript.whisperx[57].end 2639.649
transcript.whisperx[57].text 我們是不是可以再做另外一個處理是不是可以這樣子來做那這個部分的話我們可以透過一個我們建議是不是透過一個附帶決議的方式就隨便來做一個對行政部門當然有做一個要求署長你這樣提署長托育人員本來就有證照也就是說
transcript.whisperx[58].start 2640.636
transcript.whisperx[58].end 2657.322
transcript.whisperx[58].text 過去的確三軌可以擔任托育人員可是機構式的一定要有托育人員證照所以要嘛就是學歷他是幼保科系畢業要嘛就是他有托育人證照因為的確一開始的時候沒有處理好後來馬上就跟進因為
transcript.whisperx[59].start 2658.862
transcript.whisperx[59].end 2684.327
transcript.whisperx[59].text 機構的如果事實上是保姆當然的確你那三軌還是存在可是實際上機構已經沒有所謂三軌大概就是只有兩軌一個是我們的教保科系畢業的一個事實上是拿到托育人員證照的所以我不知道你講的這個根本不存在那你說現在有過渡時期不會存在所以如果這樣的話應該是直接就是學歷然後你把那個經歷或拿掉
transcript.whisperx[60].start 2689.032
transcript.whisperx[60].end 2700.566
transcript.whisperx[60].text 那我們遵照委員的這個提案 提議我們就把經歷拿掉所以就是學歷或證照因為將來應該就是兩軌啦學歷或證照
transcript.whisperx[61].start 2705.106
transcript.whisperx[61].end 2718.961
transcript.whisperx[61].text 好 這樣可以嗎 34條 我們文字在做這項修正好 那還是請行政擔任把這個確定版再印出來給各位委員做那個昭和可不可以建議一下因為他剛剛印的這個版本跟剛剛修正的內容
transcript.whisperx[62].start 2719.778
transcript.whisperx[62].end 2745.768
transcript.whisperx[62].text 又沒有跟上所以是不是可以用投影啊比照我們在801這樣子就是投影出來大家看看確定因為可能還沒有完全定案又修正他剛剛印的這個版本跟最新修訂的文字是沒關係的在浪費紙張啊如果可以連線比照我們在801這樣子嘛在上面看看大家覺得OK就定案
transcript.whisperx[63].start 2749.019
transcript.whisperx[63].end 2759.646
transcript.whisperx[63].text 對 因為他們倆剛才講話又沒講所以又慢一拍而且你們
transcript.whisperx[64].start 2762.169
transcript.whisperx[64].end 2773.422
transcript.whisperx[64].text 可能沒有事先講今天心情他們硬快一點這樣子他們也是聯絡看看好不好我們還是一樣繼續審查
transcript.whisperx[65].start 2779.755
transcript.whisperx[65].end 2788.08
transcript.whisperx[65].text 好 這個我們還是請行政單位把這個修正完的版本再印出來給委員做確認好 謝謝好 我們繼續處理第34條來 請行政單位先做說明這個部分是
transcript.whisperx[66].start 2802.395
transcript.whisperx[66].end 2829.38
transcript.whisperx[66].text 行政院版是沒有提案這是林主任委員版本的第44條這個部分的話主要是原來行政院版並沒有在院版裡面去規範托育機構主管人員的資格以往大概都是擺在設置標準裡面主管委員的版本是把它拉到母法裡面來我們討論結果我們覺得既然其他相關工作人員的資格已經拉過來負責人員的部分
transcript.whisperx[67].start 2831.48
transcript.whisperx[67].end 2859.047
transcript.whisperx[67].text 主管人員的部分我們就一併把它整列進來在這裡的話我們基本上是參照我們的建議文字是基本上參照林淑芬委員的文字的內容我們大概就稍微做一些整理也就是淑芬委員的版本裡面各款因為大概都會有要經過縣市主管機關去辦理的專業訓練這個部分大概從文字上的統一性的整理的部分我們就把這個
transcript.whisperx[68].start 2860.108
transcript.whisperx[68].end 2868.465
transcript.whisperx[68].text 縣市主管機關專業訓練的部分文字拉到序文裡面來其他各款的文字內容大體上就參照
transcript.whisperx[69].start 2870.339
transcript.whisperx[69].end 2890.629
transcript.whisperx[69].text 我們林淑芬委員版本的內容那我先就條文的內容宣讀如下那第44這個調適的部分另外也需要重新再因為這個版本是這個條文是原來行政院版本沒有所以調適到時候也需要重新再這個再順過那條文的部分
transcript.whisperx[70].start 2891.289
transcript.whisperx[70].end 2908.414
transcript.whisperx[70].text 主管人員應完成職轄市縣市主管機關辦理之專業訓練領有結業證書並具備下列資格之一依大學幼兒教育幼兒保育加證護理相關學院系所碩士班或碩士學位學程以上學員畢業
transcript.whisperx[71].start 2910.134
transcript.whisperx[71].end 2927.95
transcript.whisperx[71].text 且有兩年以上兒童教育保育及照護經驗者二大學幼兒教育幼兒保育家政護理相關學院系學士班或學士學位學成畢業或取得其輔系證書有二年以上兒童教育保育及照護經驗者三
transcript.whisperx[72].start 2930.911
transcript.whisperx[72].end 2952.827
transcript.whisperx[72].text 學士學位以上畢業或專科學校幼兒教育幼兒保育家政護理相關學院系所學位學成科畢業有三年以上兒童教育保育及照護經驗者四 專科學校畢業有四年以上兒童教育保育及照護經驗者五 其他經中央主管機關公告者第二項
transcript.whisperx[73].start 2953.527
transcript.whisperx[73].end 2975.373
transcript.whisperx[73].text 前項第一款至第四款所稱兒童教育保育及照護經驗只擔任下列職務並取得職家職縣市主管機關或教育主管機關所開立服務年資證明者一 托兒所 幼兒園或改制後幼兒園之教育人員助理教育教保人員 教師教保員 助理教保員 所長或園長
transcript.whisperx[74].start 2977.033
transcript.whisperx[74].end 2980.574
transcript.whisperx[74].text 2.托育機構之托育人員及主管人員3.
transcript.whisperx[75].start 2980.574
transcript.whisperx[75].end 2986.895
transcript.whisperx[75].text 早期療癒機構之早期療癒教保人員及早期療癒助理教保人員4.
transcript.whisperx[76].start 2986.895
transcript.whisperx[76].end 3000.719
transcript.whisperx[76].text 安置及教養機構之托育人員以上好 那各位沒一點喔可以 可以
transcript.whisperx[77].start 3005.139
transcript.whisperx[77].end 3029.556
transcript.whisperx[77].text 因為剛剛有請委會溝通沒辦法處理這個即時的所以是不是他可以處理一下所以我們等一下下一條要討論的那個案就先列印出來了好不好這樣比較快這個就依照林書煥所提的提案修正通過 謝謝也請趕快列印出來給郭文過目確認 謝謝那我們繼續來處理第38條
transcript.whisperx[78].start 3036.134
transcript.whisperx[78].end 3062.47
transcript.whisperx[78].text 來 請行政機關所有出名行政院版第38條是有關托育工作人員專業人員的消極資格的規定在先前討論的過程中主要的最後有保留的原因是有關在消極資格的具體事項之內委員有提議增列這個
transcript.whisperx[79].start 3065.552
transcript.whisperx[79].end 3082.183
transcript.whisperx[79].text 懲犯家暴罪 經緩解罪 起訴或有罪判決定這個部分主要是包括有林淑芬委員的動議我們經過整理之後我們是確定條文是可以納進來我們會把條文將來會甄列在第四款之內我們就
transcript.whisperx[80].start 3087.226
transcript.whisperx[80].end 3109.419
transcript.whisperx[80].text 這個部分 我們就整體條文宣讀下第38條托育專業人員 工作人員及居家托育服務中心工作人員有下列各款情形之一者托育機構或居家托育服務中心受委託單位應終止契約且直轄市縣市主管機關應認定其終身不得擔任托育相關人員或居家托育服務中心工作人員
transcript.whisperx[81].start 3110.639
transcript.whisperx[81].end 3129.695
transcript.whisperx[81].text 並公布行為人之姓名及托育機構名稱一 懲犯《新規案犯罪防治法》第二條第一款鎖定之罪經緩起訴處分或有罪判決確定二 懲犯《毒品違反防治條例》之罪經緩起訴處分或有罪判決確定三 經直轄市縣市主管機關
transcript.whisperx[82].start 3130.876
transcript.whisperx[82].end 3148.902
transcript.whisperx[82].text 调查认定有性侵害行为属实四就是申列的部分惩犯家庭暴力罪经有罪判决确定且清洁重大并经持下实现事主管机关认定有终身不得担任托育相关人员或居家托育服务中心工作人员之必要
transcript.whisperx[83].start 3149.562
transcript.whisperx[83].end 3168.587
transcript.whisperx[83].text 五 受兒童及少年性交易防治條例或兒童及少年性剝削防治條例規定處罰或受性騷擾防治法第25條或第27條規定處罰經芝加斯縣市主管機關認定有中設不得單於托育相關人員或居家托育服務中心人員之必要
transcript.whisperx[84].start 3169.207
transcript.whisperx[84].end 3183.741
transcript.whisperx[84].text 六 經各級主管機關因兒童及少年福利與權益保障法第97條規定處罰並經直轄市縣市主管機關認定有終身不得擔任托育相關人員或居家托育服務中心工作人員之必要七
transcript.whisperx[85].start 3184.501
transcript.whisperx[85].end 3202.892
transcript.whisperx[85].text 知悉服務之托育機構發生疑似性侵害事件,位於第48條第1項規定通報,致再度發生機構內性侵害事件,偽造、變造、因滅或隱匿他人所犯。托育機構內性侵害事件之證據,經指甲式縣市主管機關查證屬實。8.偽造、變造、因滅或隱匿他人所犯。
transcript.whisperx[86].start 3207.355
transcript.whisperx[86].end 3235.109
transcript.whisperx[86].text 托育機構內毒品危害事件之證據經直轄市縣市主管機關查證屬實9.直轄市縣市主管機關依第57條規定處罰並認定有終身不得擔任托育相關人員或居家托育服務中心工作人員之必要10.行為違反相關法規有傷害兒童之虞經直轄市縣市主管機關查證屬實及認定有終身不得擔任托育相關人員或居家托育服務中心
transcript.whisperx[87].start 3235.709
transcript.whisperx[87].end 3249.332
transcript.whisperx[87].text 工作人員之必要 以上好 各位委員針對第38條對 38條 來 請立書委員第五款 懲犯家庭暴力罪
transcript.whisperx[88].start 3261.157
transcript.whisperx[88].end 3266.808
transcript.whisperx[88].text 這個有罪判決要不要經緩起訴處分有沒有必要要寫上去緩起訴處分
transcript.whisperx[89].start 3269.145
transcript.whisperx[89].end 3293.49
transcript.whisperx[89].text 跟委員報告因為原來在有關犯家庭暴力罪的時候我們是列在第39條1到4年的部分那考慮到當時跟委員討論的時候有些情節重大的部分把它拉到終身不得擔任所以有關緩起訴的部分的這一塊我們現在是留在第39條裡面所以緩起訴的部分的話就是拉到第39條它就不是終身
transcript.whisperx[90].start 3294.15
transcript.whisperx[90].end 3313.051
transcript.whisperx[90].text 那他一定是有罪判決確定然後經過認定然後他才是終身大概用這樣的方式區分層次來處理 以上我有一點聽不清楚就是說終身不得擔任還起訴沒有到那麼重罪是
transcript.whisperx[91].start 3314.358
transcript.whisperx[91].end 3323.94
transcript.whisperx[91].text 因為還起訴的部分它的情節沒有到那麼重大所以我們就是把它擺在第39條39條它就是有期限的它不是終身不得擔任我們就把它拆到兩段所以這個是5年這個是幾年了這個部分的話跟原來委員提案的48條的內容大體上是相當
transcript.whisperx[92].start 3344.901
transcript.whisperx[92].end 3370.752
transcript.whisperx[92].text 對 我是說我們這款是幾年不能夠那個終生 終生 好吧 OK好好 這個文字有修正螢幕現在可以了各位再詳閱一下好好 所以我們38條就依照剛剛行政單位這樣的宣讀修正通過好謝謝怎樣
transcript.whisperx[93].start 3381.604
transcript.whisperx[93].end 3399.521
transcript.whisperx[93].text 請行政機關把修正的條文再列出來給委員做確認我們繼續來處理第39條請行政擔任做說明第39條的部分主要是先前在討論的時候已經確定各委員都同意將這個不得
transcript.whisperx[94].start 3401.803
transcript.whisperx[94].end 3430.203
transcript.whisperx[94].text 消極資格的適用對象從托育專業人員及工作人員之外會增列居家托育服務中心的工作人員那這個部分的話我們在各款裡面都把文字已經增列進去了那另外我們也參採了我們召委的這個動議那我們在第二款的部分增列了有關違反動保法最嚴重的一些虐待動物的行為因為他可能會有考慮到會有可能
transcript.whisperx[95].start 3431.063
transcript.whisperx[95].end 3453.932
transcript.whisperx[95].text 這個會有相關的這個未來它的暴力傾向可能也會影響到它的工作所以我們甄列了第二款那第二款文字宣讀如下受動物保護法第25條之一第一項規定處罰並經直轄市縣市主管機關認定有不得擔任托育相關人員或居家托育服務中心工作人員之必要那以上
transcript.whisperx[96].start 3455.731
transcript.whisperx[96].end 3471.829
transcript.whisperx[96].text 那這個部分 斬格條的部分我們就已經有現在有投影在螢幕上好 各位請看投影有什麼地方 優質處要再修正的
transcript.whisperx[97].start 3474.619
transcript.whisperx[97].end 3501.681
transcript.whisperx[97].text 那如果沒有的話我們這一條就照這樣修正後通過莊委我這邊有一個意見好請說這個原來你提的這個蠻好的那個動保法25條之一事實上它違反的事項是重大的就是在動保法裡面是重大的那如果既然已經是重大你這邊再增加說主管機關認定有不得擔任
transcript.whisperx[98].start 3502.822
transcript.whisperx[98].end 3530.368
transcript.whisperx[98].text 托育什麼服務人員之必要有需要再加這個嗎如果說他本身的行為就是已經經認定而且處罰是重大的違反動保法還需要再經主管機關再認定一遍嗎因為你這邊也是消極資格不是終身不得任用所以後面的這個再核定一遍的必要性你們覺得有很高嗎因為動保法25條之一
transcript.whisperx[99].start 3533.82
transcript.whisperx[99].end 3555.537
transcript.whisperx[99].text 也算是比較重的有需要再核一遍嗎這個大家可以再思考一下有沒有必要再增加主管機關再去認定一遍還是說如果已經達到事實而且已經處罰這一類的那他已經構成這一個消極資格他可能就是在短期內就是不得任用了解
transcript.whisperx[100].start 3558.114
transcript.whisperx[100].end 3561.637
transcript.whisperx[100].text 不需要再認定啦
transcript.whisperx[101].start 3581.343
transcript.whisperx[101].end 3607.398
transcript.whisperx[101].text 25條之一到第1項就是違反第5條第2項第6條第12條第1項第2項第3項的規定使用藥物或殭屍致複數動物死亡情節重大者處一年以上五年以下有期徒刑一年以上五年以下
transcript.whisperx[102].start 3609.539
transcript.whisperx[102].end 3628.951
transcript.whisperx[102].text 這個一年以上五年以下是不是就不能夠醫科罰金也不能緩刑是不是如果實際的實定刑在兩年以下我記得應該是可以緩刑這個部分
transcript.whisperx[103].start 3630.994
transcript.whisperx[103].end 3651.021
transcript.whisperx[103].text 這個法務部汪三世可以幫我們指正一下汪三世要談以前我是不是在講一個我的印象應該是就是他只有實際判決不是看那個法定刑度是看實定判決如果在兩年以下應該是可以應該是有緩刑的空間因為他這個在最高刑度只有到五年以下好像是可以的現在
transcript.whisperx[104].start 3654.742
transcript.whisperx[104].end 3668.557
transcript.whisperx[104].text 我們多加這個主管機關認定其實有可能是行政程序上要有一個行政處分這樣子人民才會有救濟的機會
transcript.whisperx[105].start 3675.482
transcript.whisperx[105].end 3691.62
transcript.whisperx[105].text 一般这样子定我不是说一定要这样子我是说一般法律上这样子定说你判刑了或者是才处罚了那要经过这个主管机关认定是因为要有一个行政处分
transcript.whisperx[106].start 3694.24
transcript.whisperx[106].end 3711.014
transcript.whisperx[106].text 這個行政處分當事人覺得不服他才有救濟的機會所以這本來在法律上一般這樣子講都是為了法律然後有一個行政救濟這是一個配套的程序一般都是要這樣子
transcript.whisperx[107].start 3713.936
transcript.whisperx[107].end 3739.448
transcript.whisperx[107].text 因為你這樣剝奪他的權利那他要行使他的救濟權那依照情節去認定一年到四年如果不認定的話就不知道要停多久因為這個是五年條款你知道嗎那你如果這樣其他也會有同樣的問題其他違反其他法令的也有同樣的問題
transcript.whisperx[108].start 3741.243
transcript.whisperx[108].end 3761.887
transcript.whisperx[108].text 那一樣有最終認定的問題這應該是指的是構成要件對啊 都有認定的問題第一款也有啊第二款也有啊那第三款是有時間它本身這個有時間限制
transcript.whisperx[109].start 3769.38
transcript.whisperx[109].end 3790.828
transcript.whisperx[109].text 請大家重新再看一下第39條就是從第一款到第六款每一款都有認定第二款跟第三款每一款都有認定現在只有家暴罪第三款的沒有家暴罪沒有納入認定其他都有
transcript.whisperx[110].start 3791.714
transcript.whisperx[110].end 3816.517
transcript.whisperx[110].text 對 那如果每一個都認定這個寫法是這樣寫嘛就是說是不是衛福部應該還是法務部應該給一點意見如果每一個都要經認定那應該是說構成的要件一二三四五六款然後呢最後再寫就是說要如果都要一致的話那就是經主管機關認定現在就是第三款第三款他沒有寫清楚其他好像都有
transcript.whisperx[111].start 3817.389
transcript.whisperx[111].end 3835.697
transcript.whisperx[111].text 那如果每一個都要寫是但是第三款本身就有講了第三款很具體的講說五年五年內就他已經講五年內不可以所以就不用認定了那每一款每一款都有他不是五年內來 你們請望山
transcript.whisperx[112].start 3840.584
transcript.whisperx[112].end 3864.453
transcript.whisperx[112].text 還有抱歉我再講一下這個加報懲罰加報罪還幾數然後有罪判決五年內不可以擔任五年後就可以那你這個動保這個要終身嗎本條都會到一到四
transcript.whisperx[113].start 3866.189
transcript.whisperx[113].end 3894.545
transcript.whisperx[113].text 39條全部都是1到41到4如果是終身的話會在38條對 1到4都是1到4那加報罪是那第三款加報1到5是因為它是配合這個原來在因為這個是從兒少法這邊抽出來在兒少法規定的時候原來對於犯加報罪的時候它就是五年內不得擔任所以這個時候是這一款是單獨跟其他條款是不太一樣的原因所以第三款是不用認定其他款都有認定嗎
transcript.whisperx[114].start 3896.058
transcript.whisperx[114].end 3902.902
transcript.whisperx[114].text 現在我們就是處理認定的問題了認定這個法定程序的爭執先質疑 先處理這一個還是什麼這麼嚴重打徵記 虐殺這樣
transcript.whisperx[115].start 3923.103
transcript.whisperx[115].end 3933.914
transcript.whisperx[115].text 已經限度兩年以下事實上他都有虐殺這種狀況那是不是要不要考慮就是直接入消極資格而不是要去判定一到四年
transcript.whisperx[116].start 3936.361
transcript.whisperx[116].end 3955.878
transcript.whisperx[116].text 跟各位委員報告第一個是這個部分我們當然背景是我們是依委員的有動議的部分我們把違反動物保護法的規定納進來所以當時提案修正動議的部分也是針對在39條的部分
transcript.whisperx[117].start 3958.16
transcript.whisperx[117].end 3986.068
transcript.whisperx[117].text 那第二個就是現在在39條的部分因為它並不是一個直接就判多少年不得去擔任這個托育相關的工作它是有一個期間的限制所以除了在第三款它是直接因為其他相關法令已經有現行規定之外那其他所有的各款的規定我們現在就全部都是在這邊都是有透過一個縣市主管機關一個認定的機制
transcript.whisperx[118].start 3986.809
transcript.whisperx[118].end 4002.371
transcript.whisperx[118].text 那這個認定一方面是認定他是不是不得擔任同時也會搭配第二項他同時在認定的不得擔任還要去審酌他的嚴重程度是一到四年之間是不得擔任多久同時還有一個裁量認定多久的部分
transcript.whisperx[119].start 4002.871
transcript.whisperx[119].end 4022.328
transcript.whisperx[119].text 所以我們是建議說這個部分是不是有可能在未來運作機制的部分的話是不是有可能就是各款的部分除了第三款當時是一個比較獨特的狀況之外是不是有可能能夠做比較統一的一個處理這是我們初步的一個建議以上
transcript.whisperx[120].start 4023.68
transcript.whisperx[120].end 4046.088
transcript.whisperx[120].text 好 我是不是可以請法務部表示一下意見我同意就是那個政府機關在認定的部分只是說這樣的一個法條寫法你每一款後面都附一個就是經主管機關就是那個重複性很高不可以有更簡潔的一個立法的調整嗎法務部表示一下專業意見好不好那請
transcript.whisperx[121].start 4049.105
transcript.whisperx[121].end 4078.022
transcript.whisperx[121].text 是主席跟委員報告看這個法條因為動保法的25之一第一項的規定是可以處一年以上五年以下的有期徒刑那我們刑法的規定如果是有期徒刑宣告兩年以下就可以緩刑所以如果說在這裡的意義就是說如果這個被告他是被判
transcript.whisperx[122].start 4080.229
transcript.whisperx[122].end 4108.71
transcript.whisperx[122].text 一年或者是两年它是有可能缓刑那如果缓刑的话在这里叫不叫被处罚那这个部分可能要考量一下那另外还有一个就是所谓的处罚在这里我们行政法跟刑事法有罪责任的认定是不是意义一样因为像第三款我们现在是把它以有罪判决确定之日起还有还期数处分来定
transcript.whisperx[123].start 4109.531
transcript.whisperx[123].end 4123.686
transcript.whisperx[123].text 這個是有刑責的狀況這樣定我覺得很明確但是像動保法這個也是刑責然後第一款的兒少兒少的性交易跟性剝削條例這個應該也是刑責如果是刑責的話
transcript.whisperx[124].start 4125.248
transcript.whisperx[124].end 4151.051
transcript.whisperx[124].text 因為刑責的處罰是有罪行政法的處罰是處分這兩個意義其實不一樣我們的政策上是不是以行政法來處分再來認定還是有罪也是需要主管機關來認定這可能在政策上我們要考量一下然後再做一致的規範可能會比較符合體力以上來 林俊偉
transcript.whisperx[125].start 4153.089
transcript.whisperx[125].end 4175.134
transcript.whisperx[125].text 好 第三款本來是我們以為講得很明確因為就是刑事判決確定以後五年內都不可以但是如果要來認定也可以突然我們想到了因為裡面有還起訴的人還起訴的人也許情節是輕微的
transcript.whisperx[126].start 4179.012
transcript.whisperx[126].end 4198.611
transcript.whisperx[126].text 要不要再增加一個還起訴的人就不一定是五年內通通不可以你還要再去認定嗎這個是當然是增加了行政部門的權利但是事實上權利也是責任權利也是責任你到時候給他
transcript.whisperx[127].start 4200.861
transcript.whisperx[127].end 4211.526
transcript.whisperx[127].text 這個放寬了五年條款然後你給他三年那出事了其實也有可能會要背上風險政治風險和政治責任
transcript.whisperx[128].start 4214.677
transcript.whisperx[128].end 4240.919
transcript.whisperx[128].text 但是照我們原來的條款是直接很明確就五年內通通都不要大家都沒有責任行政程序也很明確因為從判刑確定日開始就五年內所以類似這樣子至於說條文的文字我覺得這樣子大家看得懂也是可以
transcript.whisperx[129].start 4243.226
transcript.whisperx[129].end 4264.506
transcript.whisperx[129].text 所以照法務部你的意見的話那凍保也要加上還起訴凍保也有還起訴的嘛也是有可能被還起訴是有可能的對 我的意思是說那凍保的那個條款的還起訴或是判刑要怎麼處理
transcript.whisperx[130].start 4274.986
transcript.whisperx[130].end 4295.442
transcript.whisperx[130].text 欸欸 趙偉這你的意見啊因為第二款的條文是你的意見嘛那你說25條之一第一項規定處罰處罰還起訴處分那有罪判決吧是不是 處罰這兩個字也很奇怪
transcript.whisperx[131].start 4299.588
transcript.whisperx[131].end 4303.431
transcript.whisperx[131].text OK或者是處罰兩個字可以代替還起訴和判決如果這樣子的話
transcript.whisperx[132].start 4310.236
transcript.whisperx[132].end 4333.548
transcript.whisperx[132].text 法务部要不要建议一下就是那个文字可以这个是文字调整的问题刚刚汪参有说就是说那个刑事跟行政是不太一样的对因为像第三款还起诉处分或有罪判决确定因为如果是缓刑也是有罪判决确定所以这可以包含在里面但是处罚这两个字我们不
transcript.whisperx[133].start 4334.168
transcript.whisperx[133].end 4350.514
transcript.whisperx[133].text 用在包含刑罰跟行政罰看起來有點奇怪而且這個處罰如果是有罪判決還要經主管機關認定這個就是要看政策是不是要這樣子做可是如果要這樣做我們是建議都一樣只要有
transcript.whisperx[134].start 4350.894
transcript.whisperx[134].end 4370.623
transcript.whisperx[134].text 是有刑責的條文如果是這樣第二款第三款一定要整合成一致的態度看文字因為他們都是有罪判有罪的認定不只是行政處分這樣子的話第一款第一款的條文是不是要確認一下
transcript.whisperx[135].start 4372.219
transcript.whisperx[135].end 4386.862
transcript.whisperx[135].text 因為第一款他是沒有講確定的第一款也是啊沒有性騷擾二十五也是有罪一二三款恐怕都有同樣的問題你們回去統整一下
transcript.whisperx[136].start 4388.427
transcript.whisperx[136].end 4402.793
transcript.whisperx[136].text 我建議這一條可能要稍微保留一下文字一定要統整啦概念也要統整對然後看有沒有更簡潔的立法如果每一款都在講重複同樣的事情是不是
transcript.whisperx[137].start 4403.553
transcript.whisperx[137].end 4427.66
transcript.whisperx[137].text 可以透過什麼樣的立法文字更簡潔就是每一款都必須要認定的話那就是統整在一起第一項文字就說明全部都要中央主管機關認定但是我們真的要全部都中央主管機關認定嗎我們本來是第三款是因為這個判決是很清楚的判決日期但要認定我現在剛剛講因為有還起訴
transcript.whisperx[138].start 4429.801
transcript.whisperx[138].end 4455.798
transcript.whisperx[138].text 這個東西所以我覺得也可以認定所以可不可以請衛福部跟法務部你們就是因為我覺得可能沒有辦法這樣子討論這一條可能會耗很久的時間你們再仔細回去推敲剛剛法務部的意見還有剛剛委員的意見有沒有辦法再去統整一個版本要表決了要表決了
transcript.whisperx[139].start 4458.879
transcript.whisperx[139].end 4476.009
transcript.whisperx[139].text 來 這個 這一條就請華務部跟衛務部溝通一下吧看文字要怎麼修啦 好不好好 謝謝就一案而已嘛好 那就我們等一下回來再處理啦 謝謝
transcript.whisperx[140].start 4485.61
transcript.whisperx[140].end 4486.031
transcript.whisperx[140].text 三十三分鐘
transcript.whisperx[141].start 4518.349
transcript.whisperx[141].end 4525.139
transcript.whisperx[141].text 中文字幕志愿者 李宗盛
transcript.whisperx[142].start 4538.266
transcript.whisperx[142].end 4547.994
transcript.whisperx[142].text 中文字幕由 Amara.org 社群提供
transcript.whisperx[143].start 4567.773
transcript.whisperx[143].end 4593.268
transcript.whisperx[143].text 響鐘
transcript.whisperx[144].start 4611.186
transcript.whisperx[144].end 4611.827
transcript.whisperx[144].text 谢谢观看
transcript.whisperx[145].start 4652.086
transcript.whisperx[145].end 4655.908
transcript.whisperx[145].text 這裏面有一個大廈,這裏面有一個大廈
transcript.whisperx[146].start 4657.534
transcript.whisperx[146].end 4671.924
transcript.whisperx[146].text 我當時臉全瘦怎麼辦啊所以說要不然我是照這個經過這個診斷練習如果害臉治療這個診斷要不然就是有一定多久他就兩個學期就開始臉腫了
transcript.whisperx[147].start 4690.056
transcript.whisperx[147].end 4700.621
transcript.whisperx[147].text 對人工、對網路上的抗疫行為都只剩下5年那個行為了然後對動物的說10年、15年、15年後來其實都會理解於明天下一個學期的日期都在那邊在賺
transcript.whisperx[148].start 4710.708
transcript.whisperx[148].end 4717.393
transcript.whisperx[148].text 這間餐廳的餐廳有很多不同的餐廳。
transcript.whisperx[149].start 4727.729
transcript.whisperx[149].end 4729.67
transcript.whisperx[149].text 這都是現行的嗎?這是現行的嗎?對,都是現行的
transcript.whisperx[150].start 4750.089
transcript.whisperx[150].end 4758.039
transcript.whisperx[150].text 因為到最後 委員會趕快要將上班那些人推進來所以要先把這做到 要先把這做到 要先把這做到 要先把這做到
transcript.whisperx[151].start 4763.012
transcript.whisperx[151].end 4789.275
transcript.whisperx[151].text 對,我剛剛有寫我現在看到的那張圖比較好看的圖比較好看的圖比較好看的圖比較好看的圖比較好看的圖比較好看的圖比較好看的圖
transcript.whisperx[152].start 4794.437
transcript.whisperx[152].end 4811.761
transcript.whisperx[152].text 這裏面是一間餐廳。這裏面是餐廳。
transcript.whisperx[153].start 4818.726
transcript.whisperx[153].end 4839.691
transcript.whisperx[153].text 好像都沒有
transcript.whisperx[154].start 4840.691
transcript.whisperx[154].end 4852.858
transcript.whisperx[154].text 謝謝觀賞
transcript.whisperx[155].start 4950.492
transcript.whisperx[155].end 4950.512
transcript.whisperx[155].text
transcript.whisperx[156].start 4972.564
transcript.whisperx[156].end 4982.369
transcript.whisperx[156].text 三八三九十六十六十六十六十六十六十六
transcript.whisperx[157].start 4986.673
transcript.whisperx[157].end 5000.678
transcript.whisperx[157].text 然後每一顆都抽一顆然後抽一顆兩顆
transcript.whisperx[158].start 5047.961
transcript.whisperx[158].end 5054.265
transcript.whisperx[158].text 中文字幕 李宗盛
transcript.whisperx[159].start 5081.271
transcript.whisperx[159].end 5085.718
transcript.whisperx[159].text 這裏有個大廈,有個大廈
transcript.whisperx[160].start 5106.757
transcript.whisperx[160].end 5106.837
transcript.whisperx[160].text 蜜桃
transcript.whisperx[161].start 5142.415
transcript.whisperx[161].end 5150.401
transcript.whisperx[161].text 謝謝觀看,下次見!
transcript.whisperx[162].start 5177.314
transcript.whisperx[162].end 5197.46
transcript.whisperx[162].text 這裏面有一個大廈,這裏面有一個大廈,
transcript.whisperx[163].start 5205.078
transcript.whisperx[163].end 5229.656
transcript.whisperx[163].text 我也覺得沒有什麼意義啊不是啦那我自己覺得就是他不公平一點因為我太不相信他會發生什麼事可能最後這次已經追上一百天通通都要分開了那我就會沒辦法
transcript.whisperx[164].start 5231.637
transcript.whisperx[164].end 5251.082
transcript.whisperx[164].text 小朋友們也會把大學大學當成學校後來在經濟在這個後期大家會跟同學做教育每個人都會跟同學做教育教育教育教育教育教育教育教育教育
transcript.whisperx[165].start 5252.622
transcript.whisperx[165].end 5270.712
transcript.whisperx[165].text 這張圖是在2012年,當時是在2013年發生的。這張圖是在2013年發生的。
transcript.whisperx[166].start 5273.643
transcript.whisperx[166].end 5299.872
transcript.whisperx[166].text 謝謝
transcript.whisperx[167].start 5314.892
transcript.whisperx[167].end 5315.233
transcript.whisperx[167].text 要不要坐在旁邊
transcript.whisperx[168].start 5317.06
transcript.whisperx[168].end 5343.342
transcript.whisperx[168].text 沒有說零到一百 或者什麼零到一號 零到五號 他們做的肉餅沒有說零到一百 或者什麼零到一號 他們做的肉餅沒有說零到一百 或者什麼零到一號 他們做的肉餅沒有說零到一百 或者什麼零到一號 他們做的肉餅沒有說零到一百 或者什麼零到一號 他們做的肉餅沒有說零到一百 或者什麼零到一號 他們做的肉餅沒有說零到一百 或者什麼零到一號 他們做的肉餅沒有說零到一百 或者什麼零到一號 他們做的肉餅沒有說零到一百 或者什麼零到一號 他們做的肉餅沒有說零到一百 或者什麼零到一號 他們做的肉
transcript.whisperx[169].start 5345.052
transcript.whisperx[169].end 5348.196
transcript.whisperx[169].text 這裏面是一間餐廳。這裏面是一間餐廳
transcript.whisperx[170].start 5373.533
transcript.whisperx[170].end 5386.958
transcript.whisperx[170].text 這間餐廳的餐廳是一間餐廳的中間餐廳
transcript.whisperx[171].start 5392.671
transcript.whisperx[171].end 5399.917
transcript.whisperx[171].text 中文字幕志愿者 杨茜茜
transcript.whisperx[172].start 5422.867
transcript.whisperx[172].end 5433.034
transcript.whisperx[172].text 謝謝,你們有沒有啊?你們有喝一杯嗎?這給你好了,因為我自己都每天都在喝一杯可以喝嗎?可以可以
transcript.whisperx[173].start 5450.619
transcript.whisperx[173].end 5450.639
transcript.whisperx[173].text 謝謝觀看
transcript.whisperx[174].start 5483.439
transcript.whisperx[174].end 5485.282
transcript.whisperx[174].text 響鐘
transcript.whisperx[175].start 5532.21
transcript.whisperx[175].end 5538.353
transcript.whisperx[175].text 響鐘
transcript.whisperx[176].start 5570.342
transcript.whisperx[176].end 5571.407
transcript.whisperx[176].text 中文字幕組
transcript.whisperx[177].start 5602.773
transcript.whisperx[177].end 5602.933
transcript.whisperx[177].text 謝謝大家。
transcript.whisperx[178].start 5649.411
transcript.whisperx[178].end 5649.591
transcript.whisperx[178].text 謝謝大家
transcript.whisperx[179].start 5674.937
transcript.whisperx[179].end 5680.5
transcript.whisperx[179].text 對,就委員的先說起來那個嘛,39
transcript.whisperx[180].start 5713.046
transcript.whisperx[180].end 5740.449
transcript.whisperx[180].text 這就是一種叫電子錄影的感覺,還有一個叫電子錄影的感覺。這就是一種叫電子錄影的感覺,還有一個叫電子錄影的感覺,還有一個叫電子錄影的感覺,還有一個叫電子錄影的感覺,還有一個叫電子錄影的感覺,還有一個叫電子錄影的感覺,還有一個叫電子錄影的感覺,還有一個叫電子錄影的感覺,還有一個叫電子錄影的感覺,還有一個叫電子錄影的感覺,還有一個叫電子錄影的感覺,還有一個叫電子錄影的感覺,還有一個叫電子錄影的感覺,還有一個叫電子錄影的感覺,還有一個叫電子錄影的感覺,還有一個叫電子錄影的感覺,還有一個叫電子錄影的感覺,還有一個叫電子錄影的感覺,
transcript.whisperx[181].start 5758.925
transcript.whisperx[181].end 5758.945
transcript.whisperx[181].text
transcript.whisperx[182].start 5776.11
transcript.whisperx[182].end 5776.25
transcript.whisperx[182].text 謝謝大家。
transcript.whisperx[183].start 5812.312
transcript.whisperx[183].end 5812.332
transcript.whisperx[183].text 我會
transcript.whisperx[184].start 5875.7
transcript.whisperx[184].end 5888.131
transcript.whisperx[184].text 這裏面是一間餐廳,一間餐廳的餐廳
transcript.whisperx[185].start 5894.753
transcript.whisperx[185].end 5920.322
transcript.whisperx[185].text 那是烤鱸鱸鱸鱸
transcript.whisperx[186].start 5931.278
transcript.whisperx[186].end 5937.045
transcript.whisperx[186].text 謝謝大家收看,下次見
transcript.whisperx[187].start 5957.904
transcript.whisperx[187].end 5958.687
transcript.whisperx[187].text 這裏有個小店舖
transcript.whisperx[188].start 5968.575
transcript.whisperx[188].end 5991.65
transcript.whisperx[188].text 對,我認為你做得比較好,因為我認識你,我認識你,我認識你,我認識你,我認識你,我認識你,我認識你,我認識你,
transcript.whisperx[189].start 5996.232
transcript.whisperx[189].end 6016.467
transcript.whisperx[189].text 這間餐廳的餐廳是一間餐廳的餐廳。
transcript.whisperx[190].start 6036.244
transcript.whisperx[190].end 6050.67
transcript.whisperx[190].text 應該是原來的名詞第一名問題是後面被加了受委託單位後面被加了受委託單位才導致於前面這兩位對 其實後面一開始就不要用受委託單位就要去交給委託單位
transcript.whisperx[191].start 6051.63
transcript.whisperx[191].end 6078.089
transcript.whisperx[191].text 其實那個餐廳跟餐館的角度是不錯的我們之前晚上去吃餐館的那一家餐廳那一家餐館的那一家餐館的那一家餐館的那一家餐館的那一家餐館的那一家餐館的那一家餐館的那一家餐館的那一家餐館的那一家餐館的那一家餐館的那一家餐館的那一家餐館的那一家餐館的那一家餐館的那一家餐館的那一家餐館
transcript.whisperx[192].start 6079.29
transcript.whisperx[192].end 6093.26
transcript.whisperx[192].text 是網路上說的網站重新回覆的感覺,畢竟有沒有那樣的標準?發射位前大概在哪一層?對,他們一直說要挖挖挖挖挖
transcript.whisperx[193].start 6098.492
transcript.whisperx[193].end 6104.955
transcript.whisperx[193].text 因為前面這個看起來不曉得有那麼麻煩吧因為它就是那些環節其實撐撐 撐一會兒 撐一會兒吧我也請教 因為我們這兩個月期都沒有上午班
transcript.whisperx[194].start 6120.742
transcript.whisperx[194].end 6146.635
transcript.whisperx[194].text 對阿,沒有,昨天有說其實這次就講不中,就好,然後,然後整局的起來,後面就不太好,因為沒有人去講對阿,就是反正,結果反而就不太好,就是,反正就不太好,因為沒有人去講對阿,就是反而就不太好,就是,反正就不太好,就是,反正就不太好,就是,反正就不太好,就是,反正就不太好,就是,反正就不太好,就是,反正就不太好,就是,反正就不太好,就是,反正就不太好,就是,反正就不太好,就是,反正就不太好,就是,反正就不太好,就是,反正就不太好,就是,反正就不太好,就是,反正就不太好,就是,反正就不太好,就是,反正就不太好,
transcript.whisperx[195].start 6148.787
transcript.whisperx[195].end 6168.865
transcript.whisperx[195].text 然後呢,我也有問的感覺,應該是說,這次看起來不好看,我覺得不好看,我覺得不好看,我覺得不好看
transcript.whisperx[196].start 6178.602
transcript.whisperx[196].end 6179.724
transcript.whisperx[196].text 多謝您的收看
transcript.whisperx[197].start 6195.637
transcript.whisperx[197].end 6211.91
transcript.whisperx[197].text 然後後來因為他已經是正案理這些檔案然後我們後面就把那個金句話都找他結婚了就選擇了就選擇了就選擇了
transcript.whisperx[198].start 6216.747
transcript.whisperx[198].end 6221.633
transcript.whisperx[198].text 謝謝觀看,下次見
transcript.whisperx[199].start 6225.98
transcript.whisperx[199].end 6252.534
transcript.whisperx[199].text 後面,後面有馬桶,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是那個,是
transcript.whisperx[200].start 6254.236
transcript.whisperx[200].end 6254.256
transcript.whisperx[200].text
transcript.whisperx[201].start 6283.588
transcript.whisperx[201].end 6308.999
transcript.whisperx[201].text 後面的都是處罰、受委託單位,可是我們沒有通知比如說像那個後面的處罰都改成是委託單位,比如說舊的是九條,舊的是九條開始沒有,都一直是這樣子人家如果說受委託單位,下一期公司只會上班那個時候沒有負責寫書,負責有資格問問
transcript.whisperx[202].start 6312.57
transcript.whisperx[202].end 6335.468
transcript.whisperx[202].text 後面最後一座,後面的...是這個喔,是這個後面都有60也有,61也有60啦,不好意思,6060的那個後面,後面的閥轍金每個都有增加送委託單位,對對對我們這邊有各個公司都有
transcript.whisperx[203].start 6342.532
transcript.whisperx[203].end 6362.924
transcript.whisperx[203].text 因為那個時候我有過很多的經濟戰略我原來那個提案就是這個案子我們那個行政部行政部的法庭都有決定其實那個
transcript.whisperx[204].start 6367.073
transcript.whisperx[204].end 6393.302
transcript.whisperx[204].text 對,對,對
transcript.whisperx[205].start 6394.938
transcript.whisperx[205].end 6395.198
transcript.whisperx[205].text 謝謝觀看,下次見
transcript.whisperx[206].start 6421.638
transcript.whisperx[206].end 6432.92
transcript.whisperx[206].text 那就是變成要把全部裡面的部分都改成居家科技中心嗎?那就是居家科技中心
transcript.whisperx[207].start 6436.901
transcript.whisperx[207].end 6460.29
transcript.whisperx[207].text 它就是派出那個,是不是,就是那個餐廳,對,對,對,對,對,對,對,對,對,對,對,對,對,對,對,
transcript.whisperx[208].start 6468.533
transcript.whisperx[208].end 6483.564
transcript.whisperx[208].text 因為第一瓦一改的話,它下面後面就是黑的那個就是法律的,這個就是法律的,這個就是法律的,這個就是法律的,這個就是法律的,這個就是法律的,
transcript.whisperx[209].start 6491.811
transcript.whisperx[209].end 6509.679
transcript.whisperx[209].text 在這裏面,我們可以看到有一個大圖圖圖圖圖圖圖圖圖
transcript.whisperx[210].start 6517.49
transcript.whisperx[210].end 6518.611
transcript.whisperx[210].text 怎麼可以跟他學
transcript.whisperx[211].start 6546.408
transcript.whisperx[211].end 6569.264
transcript.whisperx[211].text 我知道你也超瘦啦,我很想跟他一起吃你這樣親愛的也算是很瘦吧?沒有沒有沒有,我自己別吃這不用很吃,可能每個人都很瘦然後不要講前面什麼都不講前面很瘦,所以說我沒有那麼瘦我沒有那麼瘦
transcript.whisperx[212].start 6572.227
transcript.whisperx[212].end 6601.869
transcript.whisperx[212].text 謝謝 謝謝
transcript.whisperx[213].start 6605.828
transcript.whisperx[213].end 6605.928
transcript.whisperx[213].text 謝謝大家謝謝
transcript.whisperx[214].start 6633.885
transcript.whisperx[214].end 6648.488
transcript.whisperx[214].text 這張圖畫是在2012年,是在2012年,是在2012年,是在2012年,是在2012年,是在2012年,
transcript.whisperx[215].start 6657.91
transcript.whisperx[215].end 6658.631
transcript.whisperx[215].text 這張圖是在2013年10月1日拍攝的。
transcript.whisperx[216].start 6678.848
transcript.whisperx[216].end 6695.35
transcript.whisperx[216].text 謝謝觀賞
transcript.whisperx[217].start 6711.323
transcript.whisperx[217].end 6723.066
transcript.whisperx[217].text 有集都沒有剩 還有剩的有耶對呀剩剩剩剩剩剩剩剩剩剩
transcript.whisperx[218].start 6748.584
transcript.whisperx[218].end 6766.871
transcript.whisperx[218].text 因為我們要吸收氣力啊,吸收氧化碳的氣體啊那顏色健康,如果沒顏色,好久啊,真是你都給它弄乾淨了,你都給它搞好,你都給它弄乾淨了你都給它弄乾淨了,你都給它弄乾淨了
transcript.whisperx[219].start 6774.633
transcript.whisperx[219].end 6800.4
transcript.whisperx[219].text 我覺得有些人他們在國藝園舉行的時候,工作的程度比較好。對,就是這樣。後來就學習了,後來就學了,後來就學了,後來就學了,後來就學了,後來就學了,後來就學了,後來就學了,
transcript.whisperx[220].start 6803.336
transcript.whisperx[220].end 6810.058
transcript.whisperx[220].text 阿姨在這邊阿姨在這邊阿姨在這邊阿姨在這邊阿姨在這邊阿姨在這邊阿姨在這邊阿姨在這邊
transcript.whisperx[221].start 6831.965
transcript.whisperx[221].end 6833.166
transcript.whisperx[221].text 因為這旋鼓要發過來使用9、9.5
transcript.whisperx[222].start 6856.493
transcript.whisperx[222].end 6883.404
transcript.whisperx[222].text 好的,好的,好好,謝謝瑋瑜,謝謝你們,掰掰不會,不會,不會,不會,不會,不會,不會,不會,不會,不會,不會
transcript.whisperx[223].start 6898.981
transcript.whisperx[223].end 6913.591
transcript.whisperx[223].text 但是你現在過度還有安全之有那種關係,也未必好。我是覺得盡量進步。對啊,怎麼樣去會有進步。
transcript.whisperx[224].start 6920.742
transcript.whisperx[224].end 6945.108
transcript.whisperx[224].text 創新的有很多稍微有一點狹隘性的那種你剛才看到的那種鋼杵然後那些那個鋼杵的那種鋼線對啊 要讓那種鋼線去抓那些鋼線要讓那些鋼線去抓那些鋼線要讓那些鋼線去抓那些鋼線要讓那些鋼線去抓那些鋼線要讓那些鋼線去抓那些鋼線要讓那些鋼線去抓那些鋼線要讓那些鋼線去抓那些鋼線要讓那些鋼線去抓那些鋼線要讓那些鋼線去抓那些鋼線要讓那些鋼線去抓那些鋼線要讓那些鋼線去抓那些鋼
transcript.whisperx[225].start 6948.017
transcript.whisperx[225].end 6971.115
transcript.whisperx[225].text 這個確實是比較多人,所以很難讓他們注意到那我可以做到那個時候,他會講一下,我可以直接帶大家來訪問一下那我後來要跟你們訪問一下?對,對,我後來跟你們訪問一下那你覺得你這樣很適合嗎?也可以啊
transcript.whisperx[226].start 6973.012
transcript.whisperx[226].end 6981.089
transcript.whisperx[226].text 我覺得他本身會逆進出在
transcript.whisperx[227].start 6984.497
transcript.whisperx[227].end 6996.222
transcript.whisperx[227].text 不完的問題我覺得你大方向沒有錯那就是怎麼去調補超多人怎麼去調補的問題我覺得先請講一個大家很喜歡的回憶很亮眼的回憶問題的核心會反而不住在陳雲豪博士的那個
transcript.whisperx[228].start 7006.526
transcript.whisperx[228].end 7024.798
transcript.whisperx[228].text 而是說現在就影響了新的那個DNS標準如果全面適用 對於那個狀況對 那從國教養殼 從養育的角度來看這個東西 過度強 它會不會過度強調安全跟保護然後讓一個國教養殼 少掉一個狀況
transcript.whisperx[229].start 7034.582
transcript.whisperx[229].end 7063.866
transcript.whisperx[229].text 頭耳 頭耳是非常好用的 像草尾蝶那種 它是有匯率不好的這個蝴蝶蝶蝶蝶蝶蝶蝶蝶蝶蝶蝶蝶
transcript.whisperx[230].start 7066.111
transcript.whisperx[230].end 7077.357
transcript.whisperx[230].text 因為飲料的同一種,所以飲料的同一種,所以飲料的同一種,所以飲料的同一種,所以飲料的同一種,所以飲料的同一種,所以飲料的同一種,所以
transcript.whisperx[231].start 7094.033
transcript.whisperx[231].end 7118.048
transcript.whisperx[231].text 所以說大的限制到前面的時候就在那邊然後我記得去年去年用到一個...去年用到一個那個...R5-8 FDN我認真自我去拿掉,很痛所以就這樣外面大亂的...
transcript.whisperx[232].start 7120.595
transcript.whisperx[232].end 7121.075
transcript.whisperx[232].text 市長 讓我們下一題
transcript.whisperx[233].start 7151.178
transcript.whisperx[233].end 7152.278
transcript.whisperx[233].text 這太經典了
transcript.whisperx[234].start 7179.967
transcript.whisperx[234].end 7207.361
transcript.whisperx[234].text 不是啦 這個是不是這樣啊不是啦 這個因為其實主機的設計真的差一點不是單純的不是啦 這是希望說有心肯定的人會想辦法去檢查好 特別什麼檢查要去檢查要去檢查要去檢查
transcript.whisperx[235].start 7209.249
transcript.whisperx[235].end 7212.398
transcript.whisperx[235].text 謝謝大家
transcript.whisperx[236].start 7213.112
transcript.whisperx[236].end 7218.353
transcript.whisperx[236].text 沒有那種熱熱的創作沒有那種創作沒有那種創作沒有那種創作沒有那種創作
transcript.whisperx[237].start 7245.649
transcript.whisperx[237].end 7250.974
transcript.whisperx[237].text 我覺得竹子設計很好。哪裡好?
transcript.whisperx[238].start 7262.645
transcript.whisperx[238].end 7275.291
transcript.whisperx[238].text 那是園園嗎?不用,它是機關都用健康的機關兩村院是新的房子然後後面一套房子都用花工的機關都用花工的機關對啊,它有那麼多事情可以做就只有那一套
transcript.whisperx[239].start 7291.52
transcript.whisperx[239].end 7294.563
transcript.whisperx[239].text 歷史這種藝術、這種文化、這種藝術、這種文化、這種藝術、這種藝術、
transcript.whisperx[240].start 7311.817
transcript.whisperx[240].end 7315.942
transcript.whisperx[240].text 其實它不一定需要太高,它真的不一定需要高的地位
transcript.whisperx[241].start 7327.254
transcript.whisperx[241].end 7352.76
transcript.whisperx[241].text 她的營運根本不在乎她的職位要不在乎她她的盾不在乎她的強挺不在乎她那我實際上就覺得這個最大的問題就是我現在投入到的那一部分跟主要的問題有什麼關係?
transcript.whisperx[242].start 7358.446
transcript.whisperx[242].end 7379.259
transcript.whisperx[242].text 因為他還是回過頭來講 他還是高度要仰賴政府對阿 或者是人這邊要看他這個局面的狀況要看政府 政府後面折磨的那一部分對 就要看政府折磨的那一部分
transcript.whisperx[243].start 7397.254
transcript.whisperx[243].end 7409.137
transcript.whisperx[243].text 要我這邊 給你拚一點嘛那你給他來幹嘛 幹什麼啦幹什麼啦 幹什麼啦 幹什麼啦幹什麼啦 幹什麼啦幹什麼啦 幹什麼啦
transcript.whisperx[244].start 7433.572
transcript.whisperx[244].end 7441.495
transcript.whisperx[244].text 我一直覺得他有高度的我覺得他有高度的期待在這個位置
transcript.whisperx[245].start 7486.597
transcript.whisperx[245].end 7488.738
transcript.whisperx[245].text 謝謝觀看,下次見
transcript.whisperx[246].start 7493.675
transcript.whisperx[246].end 7493.975
transcript.whisperx[246].text 有雞有雞
transcript.whisperx[247].start 7525.916
transcript.whisperx[247].end 7537.799
transcript.whisperx[247].text 這裏是一間新建的房子。
transcript.whisperx[248].start 7544.462
transcript.whisperx[248].end 7563.592
transcript.whisperx[248].text 謝謝
transcript.whisperx[249].start 7564.933
transcript.whisperx[249].end 7569.636
transcript.whisperx[249].text 這間餐廳的餐廳是一間餐廳的餐廳。這間餐廳是一間餐廳的館。
transcript.whisperx[250].start 7589.63
transcript.whisperx[250].end 7591.091
transcript.whisperx[250].text 這沒事 這沒事
transcript.whisperx[251].start 7624.053
transcript.whisperx[251].end 7642.904
transcript.whisperx[251].text 你不老喔,你去整理一下,他有錢,他有錢,他有錢,他有錢,他有錢,他有錢,他有錢,他有錢,他有錢,他有錢,他有錢,他有錢,他有錢,他有錢,
transcript.whisperx[252].start 7645.545
transcript.whisperx[252].end 7651.809
transcript.whisperx[252].text 我差點要去打長照專線去找失蹤老人失蹤且毒雞你看他有沒有發現
transcript.whisperx[253].start 7672.841
transcript.whisperx[253].end 7693.286
transcript.whisperx[253].text 如果到一邊,中間比較大咖,應該不會太多人。所以我們就開車,我們開到一邊來。那是賣點小寶的地方嗎?那是賣點小寶的地方嗎?那是賣點小寶的地方嗎?那是賣點小寶的地方嗎?那是賣點小寶的地方嗎?那是賣點小寶的地方嗎?那是賣點小寶的地方嗎?那是賣點小寶的地方嗎?
transcript.whisperx[254].start 7701.689
transcript.whisperx[254].end 7717.283
transcript.whisperx[254].text 有嗎?沒有我沒有幹嘛,我們兩個都不是意思之類的沒有,我們事務長可以聽他,可以聽蘇教授的意見
transcript.whisperx[255].start 7726.391
transcript.whisperx[255].end 7727.071
transcript.whisperx[255].text 好對啦 對 對 不要這種
transcript.whisperx[256].start 7754.881
transcript.whisperx[256].end 7764.652
transcript.whisperx[256].text 沒有啦 不過這是那個鰭肉 還是你要吃素我幫你碗排骨 整塊排骨好啦 我們繼續開會有委員在建議要到12點所以我們看再一條兩條 可能就要
transcript.whisperx[257].start 7773.482
transcript.whisperx[257].end 7788.389
transcript.whisperx[257].text 現在先處理39條 各位委員桌上都有一份在修正後的文字那我請署長這邊是不是再宣讀一次然後剛剛的修正的理由是什麼39啊 剛才三個
transcript.whisperx[258].start 7791.993
transcript.whisperx[258].end 7795.335
transcript.whisperx[258].text 這個第39條的部分那我們重新宣讀如下
transcript.whisperx[259].start 7822.013
transcript.whisperx[259].end 7840.234
transcript.whisperx[259].text 規定處罰或受性騷擾防治法第25條第27條或性別平等工作法第38條之二第一項規定處罰並經池霞市縣市主管機關認定有不得擔任托育相關人員或居家托育服務中心工作人員之必要
transcript.whisperx[260].start 7840.774
transcript.whisperx[260].end 7861.356
transcript.whisperx[260].text 二 惩犯動物保護法第25條之一第一項之罪 經有罪判決確定至日期五日內三 惩犯家庭暴力罪 經緩起訴處分或有罪判決確定至日期五日內四 經各級主管機關依兒童及少年福利與權益保障法第97條規定處罰
transcript.whisperx[261].start 7863.559
transcript.whisperx[261].end 7879.66
transcript.whisperx[261].text 並經直轄市縣市主管機關認定有不得擔任托育相關人員或居家托育服務中心工作人員之必要五經直轄市縣市主管機關一第五十七條規定處罰並認定有不得擔任托育相關人員或居家托育服務中心
transcript.whisperx[262].start 7880.799
transcript.whisperx[262].end 7896.384
transcript.whisperx[262].text 工作人員之必要六 違反相關法規有傷害而同之於經直轄市縣市主管機關查證屬實及認定有不得擔任托育相關人員或居家托育服務中心工作人員之必要有前項第二項
transcript.whisperx[263].start 7897.964
transcript.whisperx[263].end 7926.775
transcript.whisperx[263].text 有前向第二款或第三款情形者於該確定之日期五年內不得擔任托育相關人員或居家托育服務中心工作人員有前向第一款 第四款至第六款情形之一者由直轄市縣市主管機關審酌情節嚴重程度認定一年至四年內不得擔任托育相關人員或居家托育服務中心工作人員以上好 那個汪燦有補充嗎
transcript.whisperx[264].start 7929.385
transcript.whisperx[264].end 7947.143
transcript.whisperx[264].text 补充就是后来修正了这本事这个部分的话大概调整文字调整的部分跟各位做一个说明第一个就是第二款刚才讨论到惩犯动物保护法的部分我们就比这个结构我们就比照有关惩犯家庭暴力罪的写法
transcript.whisperx[265].start 7947.863
transcript.whisperx[265].end 7972.431
transcript.whisperx[265].text 以有罪判決確定自治期五年內作為它不得任用的規定因為它是有直接已經明定在判決五年所以第二項的文字我們就也跟著要順一併來做原來的草案只有第二款我們就需要甄列成第二款及第三款這個文字必須要一併來做配套的處理另外剛才也經過法務部的長官有順便幫我們有指點
transcript.whisperx[266].start 7975.732
transcript.whisperx[266].end 8000.857
transcript.whisperx[266].text 在這個序文的部分這個申列的或居家托育服務中心這樣的文字應該就足夠來表達這個相關的這個管理的要求了文字有稍微再做一點點精簡大概有三處地方文字有做一點點更動以上好
transcript.whisperx[267].start 8003.089
transcript.whisperx[267].end 8009.073
transcript.whisperx[267].text 是,跟主席還有委員們報告,39條在條文的序文列印出來的應該是正確的,因為把受委託單位刪掉。
transcript.whisperx[268].start 8022.782
transcript.whisperx[268].end 8039.312
transcript.whisperx[268].text 因為在法制用語上受委託單位在法制用語上其實它是一個概括性的行政用語不是明確的法律主體類型所以比較建議不適合作為法律條文的用語
transcript.whisperx[269].start 8040.253
transcript.whisperx[269].end 8055.293
transcript.whisperx[269].text 要不然會產生受託主體跟責任歸屬不明的疑義因為我們比較精確的法制用語還是機關法人或團體用單位這兩個字不太適合用在我們正式的法律條文裡面所以剛好那個
transcript.whisperx[270].start 8056.354
transcript.whisperx[270].end 8085.977
transcript.whisperx[270].text 那個委員會也把這個條文把那個受委託單位把它刪掉所以那其他的條款就跟剛剛我們討論過然後也跟署長跟委員們說明的是一致的意見以上這個我想請問一下實務面的問題實務面這個簽約的有沒有可能是居托中心的委託單位去簽的
transcript.whisperx[271].start 8091.02
transcript.whisperx[271].end 8109.569
transcript.whisperx[271].text 跟委員報告因為在前面第二條就已經先去定義居托中心居托中心就是要經過受托的一個團體或者是法人居托中心是一個法人嗎居托中心不是法人
transcript.whisperx[272].start 8112.345
transcript.whisperx[272].end 8139.384
transcript.whisperx[272].text 受居托中心居托中心都不是法人了我在問你實務面有沒有可能居托中心委託的單位去跟人家簽約所以這裡不是在講這個簽約的主體嗎受委託團體如果單位不要受委託團體或法人呢
transcript.whisperx[273].start 8141.809
transcript.whisperx[273].end 8163.543
transcript.whisperx[273].text 居托中心委托的團體或法人因為你39條要這樣改的話那我們前面那一條是不是也有我們38條也有這個都連動在一起的我們今天講的是簽約的單位是誰
transcript.whisperx[274].start 8173.763
transcript.whisperx[274].end 8196.277
transcript.whisperx[274].text 因為比如說勞動契約來講的話他們委託這個宛如基金會好了他去簽勞動契約的是宛如基金會而不是居托中心他是居托中心去委託他們去做那居托中心自己都沒有法人資格了
transcript.whisperx[275].start 8196.957
transcript.whisperx[275].end 8216.806
transcript.whisperx[275].text 他沒有辦法去雇人的他也沒有辦法去雇人剛才跟委員報告剛才跟法務部我們大概跟法治單位做過一些確認意見的討論的時候我們是覺得為什麼這邊可以直接不用再增加受託單位這樣的文字的想法是說
transcript.whisperx[276].start 8217.566
transcript.whisperx[276].end 8240.793
transcript.whisperx[276].text 因為在第二條在定義的時候我們就先把這個居託中心是已經它就是受託的這個單位它可能是團體 可能是法人居託中心你也講的是居託中心居託中心 對所以居託中心就是受託的這個法人受託辦理的這個法人居託中心沒有法人的位階沒有法人的沒有法人的人格所以一旦發生個案的時候
transcript.whisperx[277].start 8243.895
transcript.whisperx[277].end 8263.568
transcript.whisperx[277].text 這個個案的這個居托中心如果發生需要終止契約這樣的狀況的話當然就是由他後面原來受托的這個不管是法人還是團體來做終止契約的動作我們改了很多條都這樣改出來的你現在是要重來一遍
transcript.whisperx[278].start 8264.409
transcript.whisperx[278].end 8287.363
transcript.whisperx[278].text 主席 我們時間悠閒 這條保留啦因為它又恆生更多肢解了那你第二款 第三款這樣改你說把動保法的改成跟這個家暴法的一樣五年內通通都不可以好了 那我剛才在我們要去表決以前不是跟你講了我們家暴法裡面如果還起訴的呢那動保法裡面如果還起訴的嗎
transcript.whisperx[279].start 8288.203
transcript.whisperx[279].end 8312.549
transcript.whisperx[279].text 那你現在是一律都全部從眾那我也沒意見啦但是就是說那你的第一款剛剛講的處罰這個又是怎麼一回事那你現在又跟我講要回到居托中心的受委託單位不好那受委託團體呢那你要回到居托中心居托中心連法人位格都沒有所以你這樣討論下去就多了很多問題啊這條保留好啊
transcript.whisperx[280].start 8313.849
transcript.whisperx[280].end 8334.658
transcript.whisperx[280].text 這條是一定要保留 剛剛署長是不是有回答快了一點 因為林委員在請教你居東中心是不是法條你直接斬釘截鐵說不是後來你有再補一句不一定啦這個我有聽到 我清楚啦所以你要音量太快因為這個法條連動上面有幾條 後面有沒有我不曉得
transcript.whisperx[281].start 8336.198
transcript.whisperx[281].end 8348.142
transcript.whisperx[281].text 所以如果要照這樣修那基本上你前面那幾條我們一併要修但是可能我要請你們要確定問居多中心是不是法人不一定就要講不一定來來來補充說明
transcript.whisperx[282].start 8351.134
transcript.whisperx[282].end 8379.137
transcript.whisperx[282].text 主席補充說明一下就是在我們前面有定義說在第三條的第13款請各位委員參看一下居家托育服務中心是指受直轄市縣市主管機關委託去辦理這些相關事項的非營利性質法人機構或團體所以在這本部法裡面它已經明確的指出居家托育服務中心
transcript.whisperx[283].start 8379.597
transcript.whisperx[283].end 8400.699
transcript.whisperx[283].text 他指的就是這些法人機構團體所以他本身他就是指的是法人機構團體了所以在這部法裡面他就是具有法人機構團體的這些人定位不要忘了居托中心並沒有僱用這一些托育專業人員
transcript.whisperx[284].start 8403.897
transcript.whisperx[284].end 8417.772
transcript.whisperx[284].text 現在我在講的是說受僱者有哪些條件是不能再聘請他們來從事托育工作的人居多服務中心就不是僱主
transcript.whisperx[285].start 8423.876
transcript.whisperx[285].end 8445.489
transcript.whisperx[285].text 所以你的托育機構或居托服務中心受委託它是可能受居托中心去委託的單位現在講雇主要終止這個契約那居托中心就不是最核心的去執行這一些托育工作的第一線的雇主嗎
transcript.whisperx[286].start 8451.44
transcript.whisperx[286].end 8466.778
transcript.whisperx[286].text 你直接拿麥克風回應好不好講定位是真的我們聽懂不過居多中心是要負責接受那個居家托育服務登記的管理的媒合的輔導的監督的檢查的或調處的
transcript.whisperx[287].start 8468.947
transcript.whisperx[287].end 8493.792
transcript.whisperx[287].text 我們有一些是機構自己去經營的有一些是保姆的經營的機構去經營的我們就講說托育機構或者是受居托中心委託去經營的要終止契約這種條件是不能夠聘僱這一些托育人員不是嗎
transcript.whisperx[288].start 8502.002
transcript.whisperx[288].end 8508.99
transcript.whisperx[288].text 跟那個不能簽契約的或犯了那個罪要解約的那一個簽約的雇主是誰
transcript.whisperx[289].start 8512.529
transcript.whisperx[289].end 8538.016
transcript.whisperx[289].text 跟委員說明居托中心是直轄市縣市政府委託這些辦理居家托育的相關事項的非營利性質法人機構或團體所以假設某某的基金會他來承接台北市的某一處居家托育服務中心那他所聘用的人員當然就是那個基金會要跟他簽約這是沒有問題的
transcript.whisperx[290].start 8540.361
transcript.whisperx[290].end 8557.103
transcript.whisperx[290].text 是基金會所以他的人員有問題的時候當然就是居家托威服務中心承接這個家我剛剛問的問題就是說譬如說以宛如基金會來說去簽勞動契約的是宛如基金會不是中心
transcript.whisperx[291].start 8563.895
transcript.whisperx[291].end 8589.436
transcript.whisperx[291].text 是啊 但是它就是拘托中心啊因為它就是接受主管機關來委託辦理拘托中心的這個團體了所以就是拘托中心好 我想一下這個邏輯我懂了好 那我想一下但是我們是不是可以先暫停因為第二款跟第三款可以啊好
transcript.whisperx[292].start 8592.103
transcript.whisperx[292].end 8614.131
transcript.whisperx[292].text 這條先保留啦 因為還有牽涉到聯動上面幾條的文字也要一併修因為他那個如果用下去前面的還後面的通通都要重修了要拿掉了好 39 先保留我們再處理一條好不好46條請行政長做說明
transcript.whisperx[293].start 8620.427
transcript.whisperx[293].end 8646.06
transcript.whisperx[293].text 刑罪版第46條的草案主要就是針對有發生有不當對待的案件的時候它的應該調查的機制跟包括審議小組其中相關的成員在先前討論的過程的時候主要的已經確定的就是基本上已經各位委員大概有討論過的第一個就是在它要適用的範圍會包括
transcript.whisperx[294].start 8648.962
transcript.whisperx[294].end 8665.88
transcript.whisperx[294].text 包括居家托育人員包括居家托育服務中心的工作人員他都要適用這個規定第二個就是在發生這樣的案件之後在直轄市縣市政府處理的時候在兩天內要指派專職人員或組成調查小組來進行相關的調查
transcript.whisperx[295].start 8667.722
transcript.whisperx[295].end 8671.186
transcript.whisperx[295].text 同時為了對專責人員能夠有更精細的規範也已經在最後一項有關對專責人員的資格跟將來他會需要訓練需要接受的訓練這個部分大概分別在
transcript.whisperx[296].start 8684.36
transcript.whisperx[296].end 8691.171
transcript.whisperx[296].text 授權事項以及跟委員討論的時候有一部分會納到附帶決議裡面會去做進一步的規範跟細部的處理
transcript.whisperx[297].start 8702.157
transcript.whisperx[297].end 8715.909
transcript.whisperx[297].text 當時需要再進一步討論的主要是審議小組成員的部分,除了行政院版原來所建議的團體之外,大概會有包括法律專家、托育服務團體的代表、托育人員、專業談表、家長團體或相關領域學者的專家。
transcript.whisperx[298].start 8724.216
transcript.whisperx[298].end 8747.791
transcript.whisperx[298].text 而不同委員中間大概對於是不是需要讓團體的代表跟多元性的部分包括了像勞工權益團體代表或者像婦女團體代表等當時對於這個團體的範圍小組成員的範圍的部分還有留下來可能還需要再做進一步的討論當時是希望說我們就
transcript.whisperx[299].start 8751.454
transcript.whisperx[299].end 8776.649
transcript.whisperx[299].text 兒托法的部分跟現在教育部在做幼少法的部分整個審議的機制部分可以做一個更進一步的說明跟資料的整理我們也針對這個部分去做了一些處理我們經過了解目前我們以衛福部來講現行我們大概在審議小組部分原則上初步的估計審議小組原來的設計可能會是
transcript.whisperx[300].start 8778.71
transcript.whisperx[300].end 8807.104
transcript.whisperx[300].text 9人到15人那教育部的現在的認定委員會那或者跟教學校教評會的話組織成員大概是會設置15到21人那受理跟審議的時候那兩邊都一樣原則上是會由責委員5人成立審查的小組那後面在調查的過程大概基本上我們和教育部的機制也比較相近大概都會評估由相關人員主
transcript.whisperx[301].start 8808.745
transcript.whisperx[301].end 8827.523
transcript.whisperx[301].text 領選三到五人去成立相關的調查小組大概這個我們現在初步的跟教育部這邊所這個兩邊在法規和行政事務上大概對照的內容如這邊如以上所說明那所以第46條的部分那我們初步也有這個
transcript.whisperx[302].start 8833.028
transcript.whisperx[302].end 8860.948
transcript.whisperx[302].text 蘇芬我們現在有一個建議版本的條文對那我們現在也有大概有先投影在這個螢幕上那就請各位委員來做一個參閱好請委員表示意見有嗎
transcript.whisperx[303].start 8864.08
transcript.whisperx[303].end 8878.473
transcript.whisperx[303].text 在你看一下我們有個修正動議請你們看一下在你看的時候我先來跟大家再講一次剛才那一條的爭議因為法務部還有你們社家署我不知道你們是真的不知道還是假的不知道
transcript.whisperx[304].start 8879.727
transcript.whisperx[304].end 8906.056
transcript.whisperx[304].text 有時候居托中心它不是一個立案的機構原因是在於這個預算其實是一個計劃型的補助所以你們是用計劃型的補助委託人家來做這個工作所以契約上勞動契約上居托中心它只是這個可能是仿式輔導員的工作地點
transcript.whisperx[305].start 8907.999
transcript.whisperx[305].end 8935.032
transcript.whisperx[305].text 所以他不一定是直接是一個法人也不一定他是一個計劃型委託而已那個受委託的法人是不是就是居托中心他不是我們想像的那種機構所以這種任務型的很像是任務型的一個組織可能計劃結束就下一個是別人飆走類似這樣子的概念
transcript.whisperx[306].start 8937.734
transcript.whisperx[306].end 8964.233
transcript.whisperx[306].text 所以我是在提醒大家就是說你們覺得好像居多中心就代表可是居多中心真的在很多地方政府就是計畫型的酸案補助而已這個要想一下好 那我們先要回到那個我剛剛講的修正動議就是說現行兒少權法的相關調查如果涉及到刑事事件
transcript.whisperx[307].start 8966.655
transcript.whisperx[307].end 8971.959
transcript.whisperx[307].text 主管機關都會說等刑事調查結果出來以後我們再來究責再來討論行政處分
transcript.whisperx[308].start 8975.851
transcript.whisperx[308].end 9003.792
transcript.whisperx[308].text 但大家都知道刑事調查刑事責任確定這個要拖多久啊在這種狀況你沒有先行政調查行政處分你在拖刑事這個責任的時候你如果暫停了他的收拖那其實影響也很大但如果你不停他的收拖影響也很大
transcript.whisperx[309].start 9005.313
transcript.whisperx[309].end 9026.444
transcript.whisperx[309].text 所以我們才說在這裡我們要不要參考這個教保服務人員違法事件的這一種經驗我們來講說要求行政調查應先行那行政調查跟刑事責任構成要件不盡相同那刑事責任肯定是要很嚴格很嚴謹所以曠日廢時
transcript.whisperx[310].start 9029.085
transcript.whisperx[310].end 9046.973
transcript.whisperx[310].text 那我們的行政調查這麼多年大家都知道行政調查是比較快的所以即便有一些行為沒有構成刑事責任但是在行政上仍然有上課或者是輕微處分的必要
transcript.whisperx[311].start 9048.473
transcript.whisperx[311].end 9068.047
transcript.whisperx[311].text 所以在這種狀況裡面行政調查我們會涉及到很多的認定的時候我們要明定行政調查的時間以避免當事人因為身份選而未決所以會再來拖所以我們的版本是新增了
transcript.whisperx[312].start 9070.285
transcript.whisperx[312].end 9098.67
transcript.whisperx[312].text 地方政府在疑似違法第二項受理前項疑似違法事件後應直接指派成員或組成調查小組進行調查那這個行政調查的小組要組成後30天以內完成調查那必要的時候得以延長那延長期間不得於30天那並應通知當事人檢舉人及居托服務中心或托育服務機構
transcript.whisperx[313].start 9101.225
transcript.whisperx[313].end 9102.008
transcript.whisperx[313].text 所以是這個樣子那
transcript.whisperx[314].start 9106.741
transcript.whisperx[314].end 9130.155
transcript.whisperx[314].text 在調查期程的規定上目前幼兒園的部分是規定在執法 教保相關違法事件調查處理辦法第15條第1項第6款但是在性騷擾調查則明定在母法性騷擾防治法第15條第1項所以我們是希望說最好是可以明定上去
transcript.whisperx[315].start 9131.803
transcript.whisperx[315].end 9159.125
transcript.whisperx[315].text 明定上去調查的期限這樣子至少先有一個行政調查的結果出來那站在比較保守的防衛的你有一個行政調查了那暫停人家的時候拖了這樣子可能會比較合理那我行政調查也沒有拖很久一個月 必要的時候再一個月那也不會拖很久
transcript.whisperx[316].start 9161.075
transcript.whisperx[316].end 9175.663
transcript.whisperx[316].text 否則沒有明文規定上去你要調查多久有時候說我調查到等到刑事責任確定我再來確定我想很多人會這樣做保守的公務體系就是說我等判決了再來
transcript.whisperx[317].start 9177.526
transcript.whisperx[317].end 9198.995
transcript.whisperx[317].text 然後就拖啊但我們在這裡要放進去是我們希望行政調查要先有一個結果出來啦對於不當因為疑似到底是真狀況是怎麼樣你要不要暫停收拖會比較直接啦
transcript.whisperx[318].start 9200.235
transcript.whisperx[318].end 9224.615
transcript.whisperx[318].text 暫停收託當然對於保母的生計影響很大那基於如此所以我們才覺得說調查小組的報告送審議那審議的組成要不要納入誰這樣子但我想你們現在是納入了誰我看一下你們的版本
transcript.whisperx[319].start 9234.22
transcript.whisperx[319].end 9237.122
transcript.whisperx[319].text 婦女團體要不要進去婦女團體婦女團體進去的原因是因為我們的托育人員性別觀點還有這個家長還有這個小孩其實性別觀點也是很重要的
transcript.whisperx[320].start 9263.996
transcript.whisperx[320].end 9287.084
transcript.whisperx[320].text 其他我沒有很堅持老實說但是我認為婦女團體進去要有性別觀點因為也有一些在現場的一些不恰當的行為到底是不是不恰當的跟性別有關的可能也是需要一些性別觀點的婦女團體進去啦
transcript.whisperx[321].start 9295.511
transcript.whisperx[321].end 9312.149
transcript.whisperx[321].text 這裡我就是一個加一個性別觀點的婦女團體然後再來就是行政調查的時間不要一直拖著拖到還要等刑事判決出來如果沒有明定的話有可能會公務體系就是這樣做好 歡迎葉請維
transcript.whisperx[322].start 9315.91
transcript.whisperx[322].end 9334.961
transcript.whisperx[322].text 我這邊大概之前就有先溝通過今天看起來你們也有改就把幼兒保育不是用貨是用語兒童福利專家這一塊第二個就是剛剛淑恩委員講的幼照法大概就是定在執法裡面去做
transcript.whisperx[323].start 9336.352
transcript.whisperx[323].end 9350.128
transcript.whisperx[323].text 現在就是說那要明定在這邊或者是未來在執法的確不能拖太長這個我沒有特別意見不過第三個我覺得剛剛淑芬講說性別團
transcript.whisperx[324].start 9351.309
transcript.whisperx[324].end 9375.415
transcript.whisperx[324].text 我覺得不應該又是用婦女的確我們在處理這些案子的時候如果碰到的話會要求所以就要請你們比照是在後邊在授權執法的時候一定要跟我們的幼照法授權執法訂的也就是當有一些性別的這個課題的時候一定要有受過訓的性評委員會加入
transcript.whisperx[325].start 9376.482
transcript.whisperx[325].end 9405.675
transcript.whisperx[325].text 一定要達到多少人數這個我希望你們是照那個幼照法這樣做否則的話很容易因為我以前在參與這種的話很常沒有性平觀念的委員在討論有些性的課題的時候常常走偏了所以我就希望說所以我比較不會希望說具有性別的婦女團員反而是說要有性平意識的專家學生而且他有受過性平訓練那未來呢也
transcript.whisperx[326].start 9406.215
transcript.whisperx[326].end 9417.511
transcript.whisperx[326].text 好 那我們上次也請你們我們也簽了就是附帶決議我覺得很重要的還是手續因為過去一直以來這樣子的一個審議還有呢
transcript.whisperx[327].start 9421.587
transcript.whisperx[327].end 9441.51
transcript.whisperx[327].text 或者是調查委員那我很高興你們已經開始有去列入未來一定要授訓所以現在幼兒園的也是被要求了沒有授訓呢往往就用個人主張一點兒權的觀念都沒有然後再主張根本就是違反兒權公約的概念如果身為一個委員還違反兒權
transcript.whisperx[328].start 9442.711
transcript.whisperx[328].end 9462.563
transcript.whisperx[328].text 的概念來審議這個我覺得至關重要所以等一下我的附帶決議我們也已經送出來就是還有一個比例希望不要重蹈過去幼兆法的覆轍那個比例失衡兩邊都同樣重要你們不是就是訂了一個說要邀
transcript.whisperx[329].start 9463.563
transcript.whisperx[329].end 9489.234
transcript.whisperx[329].text 這個第四項要邀誰最後呢地方政府邀了一堆都是站在老師那一方的反而事實上是兒少權益的非常薄弱到所以最後往往過去我們才看為什麼不成案因為不成案的原因就是因為你的比例就失衡所以未來在附帶決定那邊有寫你們在定辦法的時候也要把比例這個放進去以上
transcript.whisperx[330].start 9490.99
transcript.whisperx[330].end 9517.779
transcript.whisperx[330].text 所以我是同意現在他們的這樣子的一個版本來 署長妳的新聞 蘇冰共姐但是具性平義式的團體 婦女團體這個東西這樣寫可能在母法上怪怪的但我們在立法說明欄要寫上去我不要講婦女嘛我覺得 反而是他們的性平益在整個婦女的受益層面比較強大我覺得 既然他們的性平益
transcript.whisperx[331].start 9520.736
transcript.whisperx[331].end 9537.704
transcript.whisperx[331].text 第一個就是說肯定有時候案件會有性別事件那需要有性別意識的婦女性平意識的婦女因為老實說因為有性平意識現在都是婦女團體居多但婦女團體四個字
transcript.whisperx[332].start 9539.645
transcript.whisperx[332].end 9566.532
transcript.whisperx[332].text 也有很多是婦女會也是婦女團體工商婦女會也是婦女團體這不太了解因為有些所以我們是要有性平意識的婦女團體沒有錯但是就是說要在立法說明欄說清楚主任委員我覺得不要特別有婦女團體因為有些團體她有在做性別的話那就變成她也進不來我覺得會比較不妥適有做性平議題的
transcript.whisperx[333].start 9570.214
transcript.whisperx[333].end 9589.296
transcript.whisperx[333].text 非婦女團體好 那我們想想看那個字眼應該是什麼啦我大概建議一個方向跟各位報告一下那署官委員的這個動議的部分那有關調查的期限的話大方向我想我們接受啦那個文字我們放進來
transcript.whisperx[334].start 9590.377
transcript.whisperx[334].end 9610.332
transcript.whisperx[334].text 當然我必須很誠實的說,在個案調查的時候,有時候有一些個案,確實是三十天,有時候會有一些客觀上的狀況,不一定真的調查得完。例如說人被收押了,證據被扣押了,都沒有東西,其實真的有時候會查不下去,有時候難免偶爾會有,如果真的遇到這個狀況,會有這個狀況。
transcript.whisperx[335].start 9612.193
transcript.whisperx[335].end 9628.765
transcript.whisperx[335].text 但是我想大原則以三十天來處理的話這個方向我們一定是支持的所以蘇本委員剛才建議動議的文字在第二項的後段如果是要甄列調查小組並於組成後三十日內完成調查
transcript.whisperx[336].start 9629.565
transcript.whisperx[336].end 9652.361
transcript.whisperx[336].text 必要使得予延長 延長期間不得逾30日並應通知當事人檢舉人及居家托育服務中心或托育機委員的動議文字原來是居家托育服務機構我們是建議服務就拿掉因為跟這個法裡面其他的用語上會比較一致第二項最後面就是
transcript.whisperx[337].start 9654.942
transcript.whisperx[337].end 9677.111
transcript.whisperx[337].text 並應通知當事人檢舉人及居家托育服務中心或托育機構因為現在整部法律裡面大概統一都是用托育機構就是文字上面單獨做一個統一就是動兩個字後面的話第三項委員這邊有建議審議時如果有必要
transcript.whisperx[338].start 9677.711
transcript.whisperx[338].end 9703.266
transcript.whisperx[338].text 得邀請其他相關學者、專家或專科醫師、醫事人員提供專業意見這個部分我們也可以把它納進來而搭著剛才兩位委員所提示到如果有處理到跟性有關的這樣的案件的話我們的建議是這樣子是不是有可能就是搭著這個甄列的第三項的部分我們補充一個附帶決議的文字
transcript.whisperx[339].start 9703.906
transcript.whisperx[339].end 9728.867
transcript.whisperx[339].text 就是如果是調查的案件涉及到跟性有關係的話調查委員應該要邀請具有性別平等意識的專家來參與這個部分用附帶決議的方式我們把它納進來我們來試著擬一個文字看這樣可不可行性平專家就不要團體了就性平專家就性別平等的專家
transcript.whisperx[340].start 9730.248
transcript.whisperx[340].end 9757.991
transcript.whisperx[340].text 那我們就這個部分我們先來視你一個文字請委員來過目不是 在條文裡面吧就是有性平案件的話應再邀請這個性平專家那如果也可以啊那就直接就是專科醫師 醫事人員或性別平等或具性平等意識的專家或具性平等意識的專家或者性別平等性平專家但是我們立法說明欄要講有性平案件的話一定要納入
transcript.whisperx[341].start 9759.532
transcript.whisperx[341].end 9786.043
transcript.whisperx[341].text 有性品的案件一定要納入因為你講貨嘛那這樣子的話那個第四項的神醫的成員那是不是就也許就可以我們建議是不是就依照原來行政院這邊我們建議的這樣的一個組成的方式你沒有性品專家或性別平等專家那個就加在第三項裡面好這就預案有需要的時候我們就把它加進來那正常如聽的神經小組成員螢幕上那樣子嘛
transcript.whisperx[342].start 9793.84
transcript.whisperx[342].end 9795.905
transcript.whisperx[342].text 如果具性別平等可能要加議事啦
transcript.whisperx[343].start 9799.383
transcript.whisperx[343].end 9823.812
transcript.whisperx[343].text 或者是性別平等專家啦你應該是或性別平等專家吧具性別平等意識這個太模糊了性平專家啦對啊那就具性別平等專家性別平等專家提供專業意見這樣那這個第四項就是審議小組一般的成員的部分那我們建議是不是就依照行政院這邊的版本現在組成的方式來處理好 OK
transcript.whisperx[344].start 9825.856
transcript.whisperx[344].end 9834.063
transcript.whisperx[344].text 我問一下因為我現在手頭上沒有那個幼照法他們的這樣寫到底有沒有
transcript.whisperx[345].start 9835.051
transcript.whisperx[345].end 9861.111
transcript.whisperx[345].text 有沒有那個因為主要所謂叫做性別平等專家因為在那個幼照法它是寫得很清楚是已經在它資料庫裡面已經授訓過的這性評委員們才可以來參與可是你這樣寫的話是代表是這樣子嗎還是我怎麼去認可說這個人叫做有性我們在說明欄裡面把這個部分補起來好不好我們在說明欄裡面把這個補起來
transcript.whisperx[346].start 9861.912
transcript.whisperx[346].end 9874.939
transcript.whisperx[346].text 好 各位委員針對文字章修正有意見沒有 那我們就照這樣修正通過請衛福部列印給委員來做檢視謝謝好 那我們要繼續處理第55條你們要繼續處理喔你們都要繼續處理那你們處理喔 我不行
transcript.whisperx[347].start 9890.56
transcript.whisperx[347].end 9916.586
transcript.whisperx[347].text 但是我有意見但我還是要保留我的意見繼續保留你們會到院會協商吧院長會協商吧院長不會協商我有意見現在要處理你的這個也是你的我的不是只有這一條而已還有哪一條
transcript.whisperx[348].start 9921.81
transcript.whisperx[348].end 9932.656
transcript.whisperx[348].text 對啊 保留啊不是啦 就繼續協商啊這個到1點有可能整部法律都完成嗎也不可能啊4
transcript.whisperx[349].start 9961.04
transcript.whisperx[349].end 9972.089
transcript.whisperx[349].text 你們這樣子的協商每天都協商為什麼不要利用一個專門的完整的時段來協商然後讓人家這樣子 段段續續的我們沒有辦法這樣子協商啊
transcript.whisperx[350].start 9976.704
transcript.whisperx[350].end 10000.401
transcript.whisperx[350].text 已經很多次了兩次都是這樣子然後你說今天就要協商完成我也沒辦法接受沒關係你們繼續協商我要求我想請求請求可以再有一次協商我的條文就先保留各位
transcript.whisperx[351].start 10008.038
transcript.whisperx[351].end 10024.395
transcript.whisperx[351].text 那主席可以先處理那個三十條嗎剛剛好像其實行政部門已經願意同意就是我們可不可以回過頭來處理那個三十條那你後面就不用保留我這個部分就可以OK好不好
transcript.whisperx[352].start 10025.563
transcript.whisperx[352].end 10046.188
transcript.whisperx[352].text 我們那三十條公共的啦如果你們可以那就按照那個好啦 我們就那個競表同意好不好好就您啦 好不好好感謝 感謝委員謝謝對 沒關係回到你的版本而已啊感謝您啦 那是您的版本對啦我現在再說就希望還有再一次的協商啦拜託 拜託妳的保留是三十條對啊 我的全保留主席可以先處理三十條好好 先處理三十條好啦
transcript.whisperx[353].start 10059.249
transcript.whisperx[353].end 10081.407
transcript.whisperx[353].text 你哪有17我本來是在第五條結果後來他們說放17條之後後來會議記錄都有出結果第二輪也沒把我那個列上去所以第二輪的時候根本沒討論就是安置的對啊沒有錯我記得是知道沒有錯
transcript.whisperx[354].start 10082.88
transcript.whisperx[354].end 10087.764
transcript.whisperx[354].text 三十條主席要宣告一下那個通過的版本三十條請宣告
transcript.whisperx[355].start 10109.631
transcript.whisperx[355].end 10127.46
transcript.whisperx[355].text 對於委員的尊敬這條我來唸為維護兒童人身安全及相關證據保全托育機構應裝設監視錄影設備妥善管理攝錄影音資料至少保存30日並加以保密托育機構應將前向
transcript.whisperx[356].start 10129.781
transcript.whisperx[356].end 10157.441
transcript.whisperx[356].text 涉入影音資料傳送至直轄市縣市主管機關建置之網際網路系統儲存不得規避妨礙或拒絕中央主管機關應補助直轄市縣市主管機關建置前項網際網路系統第一項監視錄影設備設置區域應備功能管理人員配置涉入影音資料之收集處理
transcript.whisperx[357].start 10158.001
transcript.whisperx[357].end 10185.251
transcript.whisperx[357].text 利用查詢條件檢查抽查機制與方式保存與銷毀方式與第二項網際網路系統建置之資訊安全管理及其他相關事項之事辦法由中央主管機關定之以上 謝謝好 各位委員針對三四條的文字修正有意義沒有那我們就修正後通過好 謝謝好因為後面有條文
transcript.whisperx[358].start 10186.411
transcript.whisperx[358].end 10210.418
transcript.whisperx[358].text 好幾條也是林書偉的然後林岳勤委員的17條也沒有弄出來有沒有 你的針點怎麼不放這樣沒有沒有啊 怎麼有我這裡沒有啊我沒有了
transcript.whisperx[359].start 10218.356
transcript.whisperx[359].end 10226.983
transcript.whisperx[359].text 那是取消了取消了取消了所以現在要回來處理17條是嗎 還是怎樣沒有了17條 好 請先做說明
transcript.whisperx[360].start 10250.408
transcript.whisperx[360].end 10267.805
transcript.whisperx[360].text 來 請說明林委員這邊在先前確實是有要求就是對於如果是用居家托育人員來照顧安置的兒童的時候評估 私人性 教育訓練的部分應該要有一定的規範
transcript.whisperx[361].start 10268.826
transcript.whisperx[361].end 10289.845
transcript.whisperx[361].text 那我們先前確實是也跟委員這邊拜託爭取是不是因為現在我們在運用居家托育人員來做收治這個照顧安置兒童的部分我們在前兩年這個在這個很不幸的案件發生之後我們大概已經修過兩次的規定那委員覺得這些需要補強的部分其實現在我們用
transcript.whisperx[362].start 10290.345
transcript.whisperx[362].end 10318.448
transcript.whisperx[362].text 行政上的一些做法現在都已經開始就有在推動但是因為考慮到說因為這個大概我們在業務管理上面其實是跟安置的業務比較有跟安置業務比較有關係所以我們先前一直是希望跟委員爭取是說是不是有機會未來是在兒少法修正的時候把委員的這個要求把它放過來因為這個將來大概都是比較偏重在所有的安置的兒少的管理的部分
transcript.whisperx[363].start 10320.049
transcript.whisperx[363].end 10347.463
transcript.whisperx[363].text 不過基於委員這邊還是希望能夠有一個在這邊先早一點就有能夠立法能夠就這個事情有一個比較明確的規定所以我們現在也有一個我們準備一個初步的條文的文字我們同仁應該正在剛剛把它印出來我們現在也投影在上面
transcript.whisperx[364].start 10352.149
transcript.whisperx[364].end 10376.161
transcript.whisperx[364].text 這樣可以嗎我們建議的文字如下直轄市縣市主管機關依法運用居家托育人員來辦理照顧安置兒童時應先評估其適任性及完成一定時數之教育訓練並建立安置期間之仿試機制
transcript.whisperx[365].start 10378.41
transcript.whisperx[365].end 10397.532
transcript.whisperx[365].text 前項人員之評估基準、教育訓練、課程與時數、訪視頻率及其他應遵行事項之辦法由中央主管機關定之以上來 你委員可以嗎
transcript.whisperx[366].start 10401.083
transcript.whisperx[366].end 10412.711
transcript.whisperx[366].text 列的是那個照顧期間因為也要有一些那個要求在所以我才會有四個字照顧期間你們沒放進去的考慮是什麼
transcript.whisperx[367].start 10416.499
transcript.whisperx[367].end 10430.512
transcript.whisperx[367].text 跟委員報告這個在所有安置的業務的時候安置的期間其實主要還是考慮這個被安置的兒童他在整個在安置過程的實際狀況所以這個
transcript.whisperx[368].start 10433.635
transcript.whisperx[368].end 10454.977
transcript.whisperx[368].text 我們在考慮個案的操作的時候確實是比較難在一開始或者是在法規裡面去定一個不管是上限或者是下限我們覺得這個在安置實務上面恐怕會有一點在執行操作上面恐怕會有一點點顧慮所以我們覺得這個部分是不是可以先補納進來
transcript.whisperx[369].start 10460.888
transcript.whisperx[369].end 10476.181
transcript.whisperx[369].text 因為這個兒少要安置多久其實不管是要看兒童的狀態安置處所的狀態還要看他的家庭的狀態其實考慮的因素其實真的是滿多的那這個部分的話是不是在期間上所以在
transcript.whisperx[370].start 10476.761
transcript.whisperx[370].end 10503.131
transcript.whisperx[370].text 而且每一個個案可能都會有它不同的地方所以我們建議這個安置的期間那以往大概也都是由在安置期間由主管機關根據安置實際的狀況來做相關的評估那考慮到安置的階段它中間是不是需要轉換到其他的安置機構或者可以回到原生家庭這個可能都是有個案上的一些判斷
transcript.whisperx[371].start 10504.311
transcript.whisperx[371].end 10527.344
transcript.whisperx[371].text 所以我們建議這個部分是不是期間暫時先不納進來以上的報告稍微我請教一下衛福部的問題就是說評估適應性沒有問題完成一定時數之教育訓練你這個一定時數是指哪個面向的時數因為一般成為保姆他已經有基本的訓練你額外再加的是屬於
transcript.whisperx[372].start 10529.125
transcript.whisperx[372].end 10542.38
transcript.whisperx[372].text 什麼樣的教育訓練我們現在把那個教育訓練的課程的時數是放在第二項有授權裡面我們現在的構想就是針對因為一般保姆他在帶的小朋友都是有家長會跟家長互動
transcript.whisperx[373].start 10544.062
transcript.whisperx[373].end 10566.421
transcript.whisperx[373].text 但是这个时候因为这个小朋友他有可能是或许是有家暴或许是有家庭没有办法养育等等各种状况这个训练的课程也就是要针对专门是安置的儿童他的一些特性他可能甚至会不会有创伤在照顾的时候有经验甚至可能他照顾的时候可能甚至身体上已经有伤害
transcript.whisperx[374].start 10567.282
transcript.whisperx[374].end 10587.811
transcript.whisperx[374].text 在照顧過程中可能需要一些額外特別注意的事項等等我們的課程設計會從這個部分來做規劃會納到第二項的授權裡面所以我在想說你前面這邊完成一定時數要不要在語意上可以再更明確譬如說即完成安置兒童相關專業時數之教育訓練
transcript.whisperx[375].start 10593.829
transcript.whisperx[375].end 10606.594
transcript.whisperx[375].text 語意其實滿空泛的一定時數的教育訓練如果說你特別要針對安置兒童他所需的相關專業進行一定時數的專業訓練我覺得這樣看起來會更完整
transcript.whisperx[376].start 10609.707
transcript.whisperx[376].end 10635.441
transcript.whisperx[376].text 我覺得反而不要用那個一定因為時數一定是配搭後邊的反而像玉敏委員提的反而是類別比較重要不是用因為時數因為她一定上過保姆的課程那她可能對於像技嘉一定有上技嘉的一些相關這個那她大概有點仿同技嘉可是又有時候又強度更強因為這個有時候很常會是用
transcript.whisperx[377].start 10639.041
transcript.whisperx[377].end 10657.536
transcript.whisperx[377].text 對 照顧的是比較低齡的所以我反而是覺得比如完成安置相關專業的教育訓練反而比較好一點那一定時數沒有什麼大意因為後面一定是專業紙邊配時數
transcript.whisperx[378].start 10660.836
transcript.whisperx[378].end 10678.363
transcript.whisperx[378].text 完成安置兒童相關專業之教育訓練這樣可不可以還是看法務部有沒有什麼意見語意上這樣更明確的指出那個方向就知道說你多補充的教育訓練其實是為了因應安置兒童他所需的相關專業這樣次長可以嗎 你一直點頭
transcript.whisperx[379].start 10685.56
transcript.whisperx[379].end 10713.353
transcript.whisperx[379].text 那是類別的問題啦也在這一條那個圖顯委員現在所關心的這個問題好不好那我們現在文字上是不是在我們請我們同仁麻煩一下就是完成安置兒童相關之教育訓練時數拿掉因為時數後面授權會寫嘛我們先我們看一下這樣的文字大家看一下這樣子這樣子文字表述夠不夠清楚
transcript.whisperx[380].start 10718.547
transcript.whisperx[380].end 10744.496
transcript.whisperx[380].text 剩一好 剩一剩一剩一剩一剩一剩一剩一剩一剩一剩一剩一
transcript.whisperx[381].start 10756.718
transcript.whisperx[381].end 10764.186
transcript.whisperx[381].text 那我們那個配合委員這邊給我們的的指證我們這樣來文字再做一個整理
transcript.whisperx[382].start 10766.383
transcript.whisperx[382].end 10790.839
transcript.whisperx[382].text 就報告那那個兩位委員給我們的一些指證我們那個提案我們可以可以做一些文字可能就再做一點點整理那兩位委員是都首肯對啊如果他們兩位委員覺得文字上是ok的就照這樣好不好我們就照11條就照這個文字修正通過然後請趕快列印出來給他們做確認好謝謝那我們繼續處理有聯動的就是
transcript.whisperx[383].start 10796.643
transcript.whisperx[383].end 10805.249
transcript.whisperx[383].text 6對 有跟39連動的就是61條跟62條好那我們是不是先來處理61跟62好不好好那就請一併說明對啊
transcript.whisperx[384].start 10823.208
transcript.whisperx[384].end 10849.979
transcript.whisperx[384].text 61條和62條都是當時都處於到跟30條有關係的這個罰則的部分那現在30條通過文字的部分應該在61條 62條如果依照行政院的版本通過應該沒有需要再做額外調整的地方對 好那各位你是不是同意就是
transcript.whisperx[385].start 10852.878
transcript.whisperx[385].end 10864.171
transcript.whisperx[385].text 61條依照行政院版本通過好謝謝那62條也是依照行政院版本通過好謝謝那在有聯動的是因3839聯動是第60條嗎是不是沒有你這邊是不是
transcript.whisperx[386].start 10873.331
transcript.whisperx[386].end 10880.856
transcript.whisperx[386].text 69也是跟30條連動對不起 69條應該也沒問題是不是69條就依照行政院版本通過可以了謝謝
transcript.whisperx[387].start 10910.287
transcript.whisperx[387].end 10928.092
transcript.whisperx[387].text 不是 它60條就是因為你們寫的3839連動這不是已經過了嗎因為30條原來就是因跟得的部分前面的那個那個規定的部分沒有文字沒有動嘛所以罰則的部分不會在後罰則的部分不會受影響所以那個30條過了後面那個這幾條條應該沒有問題對啦 我現在講說60條是因為跟3839保留連動嘛對不對對 那60條是罰則嘛
transcript.whisperx[388].start 10939.714
transcript.whisperx[388].end 10956.28
transcript.whisperx[388].text 對 文字也應該沒有變動我確定61條裡面有加如果按照你們有加第一項第四款嗎就衛役第30條第二項規定
transcript.whisperx[389].start 10970.045
transcript.whisperx[389].end 10980.822
transcript.whisperx[389].text 規避 妨礙或拒絕將攝入引機傳到直轄縣市網際網路系統有 有針列有針列進來 第四塊
transcript.whisperx[390].start 10983.047
transcript.whisperx[390].end 11010.15
transcript.whisperx[390].text 先前在雖然保留的時候但是那個時候配合委員的那個配合委員的配合各委員的那個動議的部分那個第四款的部分有在列進來對 因為剛剛主席說是對不起 主席差個話就是說依照行政院的通過可是我們擔心是如果原來的行政院版並沒有包括那個第四類所以要把它講得更清楚一點講得不精準應該知道我們建議那個處理的條文應該是可以
transcript.whisperx[391].start 11011.775
transcript.whisperx[391].end 11021.272
transcript.whisperx[391].text 又講錯了抱歉沒有 你現在60條怎樣60條你是
transcript.whisperx[392].start 11027.622
transcript.whisperx[392].end 11044.811
transcript.whisperx[392].text 60條本身是因為有跟38條、39條是有連動所以這個部分的話當時是因為這個原因保留另外在我們建議的條文裡面60條我們有甄列一個先配合先前在討論到第26條的時候
transcript.whisperx[393].start 11047.953
transcript.whisperx[393].end 11068.364
transcript.whisperx[393].text 有甄列一個處罰的條款就是有容留第26條第3項第2款規定的人員當時就是這個委員們在討論的時候是這個如果他會有容留不具資格的人那相關的罰則要去做一併的配套的處理所以我有搭配的在
transcript.whisperx[394].start 11070.27
transcript.whisperx[394].end 11074.334
transcript.whisperx[394].text 有增列一個處罰的款次第26條當時在討論的過程是
transcript.whisperx[395].start 11089.131
transcript.whisperx[395].end 11111.808
transcript.whisperx[395].text 第二十六條在先前討論的過程中是因為先前高雄曾經發生一些同子重新設立 藉合喪事這樣的狀況所以在第二十六條有甄列第二項要加強查核的
transcript.whisperx[396].start 11112.509
transcript.whisperx[396].end 11140.84
transcript.whisperx[396].text 第26條有針列一項要加強查核的規定26條第三項所以它配合有在所以要在第60條裡面針列一個違反第26條第三項的這個罰則那這邊的話當時在討論的時候大概各位委員也都有一定的共識所以這邊文字會需要做針列所以現在第60條最後可能就是它唯一的一個狀況就是現在第38條 39條
transcript.whisperx[397].start 11142.601
transcript.whisperx[397].end 11149.108
transcript.whisperx[397].text 還在保留但是其實構成要件的部分基本上內容大概不太影響所以38條 39條過60條應該就可以馬上就可以處理以上
transcript.whisperx[398].start 11164.535
transcript.whisperx[398].end 11185.378
transcript.whisperx[398].text 主席我再補充一下剛剛主席的宣告是說根據行政院提案通過事實上如果依照我們現在發下來的1月16號版的話它在最左列的地方保留的內容裡面其實不是單純的行政院版
transcript.whisperx[399].start 11185.959
transcript.whisperx[399].end 11210.176
transcript.whisperx[399].text 他其實是有經過如果依照上面的字面第61條為例的話他是建議照委員另外一種事人等等還有行政提案修正如下這樣的版本所以不是單純的行政院版的那個內容這個地方可能需要釐清主席你知道我在說什麼嗎我聽得懂有啦拜託你謝謝但是我剛才有跟
transcript.whisperx[400].start 11216.024
transcript.whisperx[400].end 11237.909
transcript.whisperx[400].text 行政單位在確認他也說是依照行政院的版本通過所以要再次跟召委還有在場所有的委員再次致歉這個口誤的地方再次致歉我們重新再宣告61條跟62條條文先除以61條條文再次宣告是
transcript.whisperx[401].start 11245.632
transcript.whisperx[401].end 11271.435
transcript.whisperx[401].text 依照裡面這個碼是不是是要依照林月琴等四人修正動議委員王振旭等事辦的意見
transcript.whisperx[402].start 11272.714
transcript.whisperx[402].end 11286.433
transcript.whisperx[402].text 這個是不是現在王委員提出來你們是不是要照這個是你自己宣讀好不好好那第61條整體宣讀如下
transcript.whisperx[403].start 11290.137
transcript.whisperx[403].end 11309.771
transcript.whisperx[403].text 托育機構有下列情形之一者處負責人薪台幣三萬元以上三十萬元以下罰還並令其限期改善藉其未改善者按次處罰其情節重大或經處罰三次人未改善者得依情節輕重令停止招收六個月至一年停辦一年至三年
transcript.whisperx[404].start 11310.271
transcript.whisperx[404].end 11325.163
transcript.whisperx[404].text 或廢止其設立許可一違反第19條第4項或第20條第6項所定辦法中有關托育相關人員資格與配置或托育人員照顧收托兒童比例規定二
transcript.whisperx[405].start 11326.303
transcript.whisperx[405].end 11345.638
transcript.whisperx[405].text 衛醫第29條第一項規定辦理兒童團體保險衛醫第30條第一項規定妥善管理攝錄影音資料至少保存30日或衛醫同條第4項鎖定辦法中有關查閱條件與方式規定提供攝錄影音資料
transcript.whisperx[406].start 11346.338
transcript.whisperx[406].end 11371.829
transcript.whisperx[406].text 四 未依第30條第二項規定規避妨礙或拒絕將涉入隱隱資料傳送至直轄市縣市主管機關建置之網際網絡系統五 未依第49條第4項規定於聘僱主管人員 機構托育人員及工作人員前報直轄市縣市主管機關核准第二項
transcript.whisperx[407].start 11373.149
transcript.whisperx[407].end 11400.72
transcript.whisperx[407].text 居家托育服務中心之受委託單位 第49條第4項規定於聘僱工作人員前報直轄市縣市主管機關核准處新台幣3萬元以上30萬元以下罰還並另期限期改善 藉其未改善者按次處罰以上好那是一條就照剛剛署長這樣宣讀的文字通過
transcript.whisperx[408].start 11408.519
transcript.whisperx[408].end 11419.676
transcript.whisperx[408].text 一樣要不要再列印出來 因為就照這個文字那就不需要再列印了吧那你要不要繼續宣讀62條
transcript.whisperx[409].start 11428.093
transcript.whisperx[409].end 11440.936
transcript.whisperx[409].text 第62條 宣讀如下有下列情形之一者處托育相關人員新台幣3萬元以上 15萬元以下罰款並令其限期改善 藉其未改善者按次處罰1.
transcript.whisperx[410].start 11440.936
transcript.whisperx[410].end 11447.978
transcript.whisperx[410].text 托育機構之托育相關人員未依第30條第一項規定對涉入影音資料加以保密2.
transcript.whisperx[411].start 11447.978
transcript.whisperx[411].end 11450.899
transcript.whisperx[411].text 托育專業人員或工作人員違反第51條第一項規定
transcript.whisperx[412].start 11452.759
transcript.whisperx[412].end 11472.746
transcript.whisperx[412].text 租借其托育服務證書或資格證書與他人使用三 托育相關人員位於第54條規定對兒童及法定代理人或實際照顧兒童之人之資料予以保密第二項 托育機構之主管人員機構托育人員或工作人員有前項第一款或第三款規定情形
transcript.whisperx[413].start 11474.286
transcript.whisperx[413].end 11490.131
transcript.whisperx[413].text 令處負責人新台幣3萬元以上、15萬元以上罰還但負責人於直轄市縣市主管機關知悉嫌主動通報者不予處罰好 各位 剛剛署長宣讀什麼事啊
transcript.whisperx[414].start 11496.366
transcript.whisperx[414].end 11516.166
transcript.whisperx[414].text 我不清楚啦到底是什麼又有行政院的提案剛剛如果是這樣那他宣布的依照行政院的提案通過就沒有問題啊對啊他為什麼要再練一次我都不清楚怎麼處理怎麼處理兩個丟門有這麼久的秋夕人
transcript.whisperx[415].start 11524.737
transcript.whisperx[415].end 11546.607
transcript.whisperx[415].text 所以62條就是依照原有的行政的提案 依行政的條文通過那你就不需要再宣讀了啊我看快一點啦 休息了啦 好不好兩個條文不太顧 我覺得這樣也不好好不好 抱歉啦
transcript.whisperx[416].start 11553.443
transcript.whisperx[416].end 11563.118
transcript.whisperx[416].text 69 各位剛剛有確認嗎69 要不要再確認一次你是要依照行政院版本還是剛剛你們這一本最新的旁邊再有相關修正的一個條文
transcript.whisperx[417].start 11566.896
transcript.whisperx[417].end 11586.175
transcript.whisperx[417].text 第69條的話是需要依照林月琴委員和王振旭委員的修正動議那需要文字再做修正因為先前相關配套主要是在第33條當時有懲罰的條文有申列相關文字所以這個決議的內容可能會需要
transcript.whisperx[418].start 11587.746
transcript.whisperx[418].end 11606.05
transcript.whisperx[418].text 會建議會需要照林月琴委員修正動議 王勝旭委員意見以及行政院的提案修正通過好 文字就如剛剛署長所跟各位宣告的這樣來做修正通過了OK 那就列入紀錄給委員做檢視 謝謝好現在是六十四 六十六 六十七
transcript.whisperx[419].start 11622.549
transcript.whisperx[419].end 11638.428
transcript.whisperx[419].text 今天到此為止了 好不好 謝謝好 現在休息 謝謝散退 謝謝
transcript.whisperx[420].start 11653.055
transcript.whisperx[420].end 11653.275
transcript.whisperx[420].text 謝謝大家
transcript.whisperx[421].start 11677.255
transcript.whisperx[421].end 11680.597
transcript.whisperx[421].text 谢谢观看