iVOD / 17448

Field Value
IVOD_ID 17448
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/17448
日期 2026-05-20
會議資料.會議代碼 委員會-11-5-19-14
會議資料.會議代碼:str 第11屆第5會期經濟委員會第14次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 14
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.標題 第11屆第5會期經濟委員會第14次全體委員會議
影片種類 Full
開始時間 2026-05-20T08:39:24+08:00
結束時間 2026-05-20T12:52:00+08:00
影片長度 04:12:36
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/16eb79f0bb3b77db28af0f0e72e77d22fc374ea3989744b4601341028818003d0bf64820f668bc3f5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2026-05-20T09:00:00+08:00
會議名稱 立法院第11屆第5會期經濟委員會第14次全體委員會議(事由:審查115年度中央政府總預算案附屬單位預算營業部分關於經濟部主管:台灣電力股份有限公司、台灣糖業股份有限公司。(詢答) 【所列預算提案於115年6月5日(星期五)下午5時截止收件】 【5月20日及5月21日二天一次會】)
委員名稱 完整會議
委員發言時間 08:39:24 - 12:52:00
transcript.pyannote[0].speaker SPEAKER_27
transcript.pyannote[0].start 1245.03471875
transcript.pyannote[0].end 1248.83159375
transcript.pyannote[1].speaker SPEAKER_15
transcript.pyannote[1].start 1249.89471875
transcript.pyannote[1].end 1252.66221875
transcript.pyannote[2].speaker SPEAKER_27
transcript.pyannote[2].start 1256.10471875
transcript.pyannote[2].end 1261.03221875
transcript.pyannote[3].speaker SPEAKER_23
transcript.pyannote[3].start 1262.65221875
transcript.pyannote[3].end 1280.70846875
transcript.pyannote[4].speaker SPEAKER_23
transcript.pyannote[4].start 1280.97846875
transcript.pyannote[4].end 1284.62346875
transcript.pyannote[5].speaker SPEAKER_23
transcript.pyannote[5].start 1284.82596875
transcript.pyannote[5].end 1293.49971875
transcript.pyannote[6].speaker SPEAKER_23
transcript.pyannote[6].start 1293.92159375
transcript.pyannote[6].end 1309.68284375
transcript.pyannote[7].speaker SPEAKER_23
transcript.pyannote[7].start 1309.86846875
transcript.pyannote[7].end 1320.22971875
transcript.pyannote[8].speaker SPEAKER_23
transcript.pyannote[8].start 1320.66846875
transcript.pyannote[8].end 1328.56596875
transcript.pyannote[9].speaker SPEAKER_23
transcript.pyannote[9].start 1328.76846875
transcript.pyannote[9].end 1331.73846875
transcript.pyannote[10].speaker SPEAKER_27
transcript.pyannote[10].start 1339.45034375
transcript.pyannote[10].end 1342.03221875
transcript.pyannote[11].speaker SPEAKER_23
transcript.pyannote[11].start 1342.03221875
transcript.pyannote[11].end 1343.58471875
transcript.pyannote[12].speaker SPEAKER_23
transcript.pyannote[12].start 1343.87159375
transcript.pyannote[12].end 1353.60846875
transcript.pyannote[13].speaker SPEAKER_27
transcript.pyannote[13].start 1356.51096875
transcript.pyannote[13].end 1356.84846875
transcript.pyannote[14].speaker SPEAKER_27
transcript.pyannote[14].start 1356.91596875
transcript.pyannote[14].end 1357.60784375
transcript.pyannote[15].speaker SPEAKER_27
transcript.pyannote[15].start 1357.74284375
transcript.pyannote[15].end 1365.01596875
transcript.pyannote[16].speaker SPEAKER_27
transcript.pyannote[16].start 1366.48409375
transcript.pyannote[16].end 1368.76221875
transcript.pyannote[17].speaker SPEAKER_27
transcript.pyannote[17].start 1369.57221875
transcript.pyannote[17].end 1371.76596875
transcript.pyannote[18].speaker SPEAKER_27
transcript.pyannote[18].start 1375.27596875
transcript.pyannote[18].end 1378.73534375
transcript.pyannote[19].speaker SPEAKER_27
transcript.pyannote[19].start 1380.27096875
transcript.pyannote[19].end 1383.86534375
transcript.pyannote[20].speaker SPEAKER_27
transcript.pyannote[20].start 1391.67846875
transcript.pyannote[20].end 1395.98159375
transcript.pyannote[21].speaker SPEAKER_27
transcript.pyannote[21].start 1396.36971875
transcript.pyannote[21].end 1410.08909375
transcript.pyannote[22].speaker SPEAKER_25
transcript.pyannote[22].start 1418.54346875
transcript.pyannote[22].end 1419.30284375
transcript.pyannote[23].speaker SPEAKER_25
transcript.pyannote[23].start 1419.48846875
transcript.pyannote[23].end 1420.50096875
transcript.pyannote[24].speaker SPEAKER_25
transcript.pyannote[24].start 1421.07471875
transcript.pyannote[24].end 1422.07034375
transcript.pyannote[25].speaker SPEAKER_25
transcript.pyannote[25].start 1422.67784375
transcript.pyannote[25].end 1427.47034375
transcript.pyannote[26].speaker SPEAKER_25
transcript.pyannote[26].start 1427.89221875
transcript.pyannote[26].end 1428.60096875
transcript.pyannote[27].speaker SPEAKER_25
transcript.pyannote[27].start 1429.02284375
transcript.pyannote[27].end 1430.05221875
transcript.pyannote[28].speaker SPEAKER_25
transcript.pyannote[28].start 1430.20409375
transcript.pyannote[28].end 1431.40221875
transcript.pyannote[29].speaker SPEAKER_25
transcript.pyannote[29].start 1431.77346875
transcript.pyannote[29].end 1436.00909375
transcript.pyannote[30].speaker SPEAKER_25
transcript.pyannote[30].start 1436.44784375
transcript.pyannote[30].end 1438.96221875
transcript.pyannote[31].speaker SPEAKER_25
transcript.pyannote[31].start 1440.00846875
transcript.pyannote[31].end 1445.08784375
transcript.pyannote[32].speaker SPEAKER_25
transcript.pyannote[32].start 1445.76284375
transcript.pyannote[32].end 1448.74971875
transcript.pyannote[33].speaker SPEAKER_25
transcript.pyannote[33].start 1449.27284375
transcript.pyannote[33].end 1450.74096875
transcript.pyannote[34].speaker SPEAKER_25
transcript.pyannote[34].start 1451.51721875
transcript.pyannote[34].end 1452.02346875
transcript.pyannote[35].speaker SPEAKER_25
transcript.pyannote[35].start 1452.27659375
transcript.pyannote[35].end 1460.35971875
transcript.pyannote[36].speaker SPEAKER_25
transcript.pyannote[36].start 1460.93346875
transcript.pyannote[36].end 1464.27471875
transcript.pyannote[37].speaker SPEAKER_25
transcript.pyannote[37].start 1464.69659375
transcript.pyannote[37].end 1466.28284375
transcript.pyannote[38].speaker SPEAKER_25
transcript.pyannote[38].start 1466.60346875
transcript.pyannote[38].end 1468.05471875
transcript.pyannote[39].speaker SPEAKER_25
transcript.pyannote[39].start 1468.72971875
transcript.pyannote[39].end 1469.59034375
transcript.pyannote[40].speaker SPEAKER_25
transcript.pyannote[40].start 1470.16409375
transcript.pyannote[40].end 1471.41284375
transcript.pyannote[41].speaker SPEAKER_25
transcript.pyannote[41].start 1471.86846875
transcript.pyannote[41].end 1472.32409375
transcript.pyannote[42].speaker SPEAKER_25
transcript.pyannote[42].start 1472.50971875
transcript.pyannote[42].end 1473.94409375
transcript.pyannote[43].speaker SPEAKER_25
transcript.pyannote[43].start 1474.04534375
transcript.pyannote[43].end 1476.94784375
transcript.pyannote[44].speaker SPEAKER_25
transcript.pyannote[44].start 1477.33596875
transcript.pyannote[44].end 1480.84596875
transcript.pyannote[45].speaker SPEAKER_25
transcript.pyannote[45].start 1480.98096875
transcript.pyannote[45].end 1484.99721875
transcript.pyannote[46].speaker SPEAKER_25
transcript.pyannote[46].start 1486.06034375
transcript.pyannote[46].end 1486.81971875
transcript.pyannote[47].speaker SPEAKER_25
transcript.pyannote[47].start 1487.35971875
transcript.pyannote[47].end 1489.18221875
transcript.pyannote[48].speaker SPEAKER_25
transcript.pyannote[48].start 1489.68846875
transcript.pyannote[48].end 1493.65409375
transcript.pyannote[49].speaker SPEAKER_25
transcript.pyannote[49].start 1494.63284375
transcript.pyannote[49].end 1497.23159375
transcript.pyannote[50].speaker SPEAKER_25
transcript.pyannote[50].start 1497.68721875
transcript.pyannote[50].end 1500.55596875
transcript.pyannote[51].speaker SPEAKER_25
transcript.pyannote[51].start 1500.96096875
transcript.pyannote[51].end 1505.14596875
transcript.pyannote[52].speaker SPEAKER_25
transcript.pyannote[52].start 1506.00659375
transcript.pyannote[52].end 1508.41971875
transcript.pyannote[53].speaker SPEAKER_25
transcript.pyannote[53].start 1509.02721875
transcript.pyannote[53].end 1512.65534375
transcript.pyannote[54].speaker SPEAKER_25
transcript.pyannote[54].start 1512.89159375
transcript.pyannote[54].end 1514.14034375
transcript.pyannote[55].speaker SPEAKER_25
transcript.pyannote[55].start 1515.28784375
transcript.pyannote[55].end 1516.19909375
transcript.pyannote[56].speaker SPEAKER_25
transcript.pyannote[56].start 1516.50284375
transcript.pyannote[56].end 1517.24534375
transcript.pyannote[57].speaker SPEAKER_25
transcript.pyannote[57].start 1517.71784375
transcript.pyannote[57].end 1520.63721875
transcript.pyannote[58].speaker SPEAKER_25
transcript.pyannote[58].start 1520.85659375
transcript.pyannote[58].end 1524.45096875
transcript.pyannote[59].speaker SPEAKER_25
transcript.pyannote[59].start 1525.51409375
transcript.pyannote[59].end 1526.99909375
transcript.pyannote[60].speaker SPEAKER_25
transcript.pyannote[60].start 1527.10034375
transcript.pyannote[60].end 1530.52596875
transcript.pyannote[61].speaker SPEAKER_25
transcript.pyannote[61].start 1530.99846875
transcript.pyannote[61].end 1534.99784375
transcript.pyannote[62].speaker SPEAKER_25
transcript.pyannote[62].start 1536.14534375
transcript.pyannote[62].end 1538.45721875
transcript.pyannote[63].speaker SPEAKER_25
transcript.pyannote[63].start 1538.91284375
transcript.pyannote[63].end 1543.85721875
transcript.pyannote[64].speaker SPEAKER_25
transcript.pyannote[64].start 1544.46471875
transcript.pyannote[64].end 1547.80596875
transcript.pyannote[65].speaker SPEAKER_25
transcript.pyannote[65].start 1548.39659375
transcript.pyannote[65].end 1548.90284375
transcript.pyannote[66].speaker SPEAKER_25
transcript.pyannote[66].start 1549.24034375
transcript.pyannote[66].end 1551.87284375
transcript.pyannote[67].speaker SPEAKER_25
transcript.pyannote[67].start 1552.41284375
transcript.pyannote[67].end 1557.01971875
transcript.pyannote[68].speaker SPEAKER_25
transcript.pyannote[68].start 1557.61034375
transcript.pyannote[68].end 1560.63096875
transcript.pyannote[69].speaker SPEAKER_25
transcript.pyannote[69].start 1560.98534375
transcript.pyannote[69].end 1563.73596875
transcript.pyannote[70].speaker SPEAKER_25
transcript.pyannote[70].start 1564.09034375
transcript.pyannote[70].end 1565.99721875
transcript.pyannote[71].speaker SPEAKER_25
transcript.pyannote[71].start 1567.36409375
transcript.pyannote[71].end 1572.39284375
transcript.pyannote[72].speaker SPEAKER_25
transcript.pyannote[72].start 1572.93284375
transcript.pyannote[72].end 1573.89471875
transcript.pyannote[73].speaker SPEAKER_25
transcript.pyannote[73].start 1574.26596875
transcript.pyannote[73].end 1578.06284375
transcript.pyannote[74].speaker SPEAKER_25
transcript.pyannote[74].start 1579.04159375
transcript.pyannote[74].end 1581.82596875
transcript.pyannote[75].speaker SPEAKER_25
transcript.pyannote[75].start 1581.89346875
transcript.pyannote[75].end 1583.27721875
transcript.pyannote[76].speaker SPEAKER_25
transcript.pyannote[76].start 1583.73284375
transcript.pyannote[76].end 1586.98971875
transcript.pyannote[77].speaker SPEAKER_25
transcript.pyannote[77].start 1587.37784375
transcript.pyannote[77].end 1589.43659375
transcript.pyannote[78].speaker SPEAKER_25
transcript.pyannote[78].start 1589.62221875
transcript.pyannote[78].end 1603.86471875
transcript.pyannote[79].speaker SPEAKER_25
transcript.pyannote[79].start 1604.15159375
transcript.pyannote[79].end 1607.98221875
transcript.pyannote[80].speaker SPEAKER_25
transcript.pyannote[80].start 1609.06221875
transcript.pyannote[80].end 1611.52596875
transcript.pyannote[81].speaker SPEAKER_25
transcript.pyannote[81].start 1612.03221875
transcript.pyannote[81].end 1613.78721875
transcript.pyannote[82].speaker SPEAKER_25
transcript.pyannote[82].start 1614.25971875
transcript.pyannote[82].end 1617.56721875
transcript.pyannote[83].speaker SPEAKER_25
transcript.pyannote[83].start 1617.92159375
transcript.pyannote[83].end 1624.19909375
transcript.pyannote[84].speaker SPEAKER_25
transcript.pyannote[84].start 1625.09346875
transcript.pyannote[84].end 1630.10534375
transcript.pyannote[85].speaker SPEAKER_25
transcript.pyannote[85].start 1630.39221875
transcript.pyannote[85].end 1633.75034375
transcript.pyannote[86].speaker SPEAKER_25
transcript.pyannote[86].start 1634.07096875
transcript.pyannote[86].end 1636.50096875
transcript.pyannote[87].speaker SPEAKER_25
transcript.pyannote[87].start 1637.36159375
transcript.pyannote[87].end 1640.78721875
transcript.pyannote[88].speaker SPEAKER_25
transcript.pyannote[88].start 1641.34409375
transcript.pyannote[88].end 1642.76159375
transcript.pyannote[89].speaker SPEAKER_25
transcript.pyannote[89].start 1643.72346875
transcript.pyannote[89].end 1645.20846875
transcript.pyannote[90].speaker SPEAKER_25
transcript.pyannote[90].start 1645.81596875
transcript.pyannote[90].end 1654.52346875
transcript.pyannote[91].speaker SPEAKER_25
transcript.pyannote[91].start 1655.78909375
transcript.pyannote[91].end 1657.51034375
transcript.pyannote[92].speaker SPEAKER_25
transcript.pyannote[92].start 1657.99971875
transcript.pyannote[92].end 1660.85159375
transcript.pyannote[93].speaker SPEAKER_25
transcript.pyannote[93].start 1661.12159375
transcript.pyannote[93].end 1666.47096875
transcript.pyannote[94].speaker SPEAKER_25
transcript.pyannote[94].start 1667.60159375
transcript.pyannote[94].end 1670.90909375
transcript.pyannote[95].speaker SPEAKER_25
transcript.pyannote[95].start 1671.49971875
transcript.pyannote[95].end 1695.14159375
transcript.pyannote[96].speaker SPEAKER_25
transcript.pyannote[96].start 1695.74909375
transcript.pyannote[96].end 1698.73596875
transcript.pyannote[97].speaker SPEAKER_25
transcript.pyannote[97].start 1699.20846875
transcript.pyannote[97].end 1703.74784375
transcript.pyannote[98].speaker SPEAKER_25
transcript.pyannote[98].start 1704.01784375
transcript.pyannote[98].end 1707.19034375
transcript.pyannote[99].speaker SPEAKER_25
transcript.pyannote[99].start 1707.34221875
transcript.pyannote[99].end 1708.11846875
transcript.pyannote[100].speaker SPEAKER_25
transcript.pyannote[100].start 1708.54034375
transcript.pyannote[100].end 1714.81784375
transcript.pyannote[101].speaker SPEAKER_25
transcript.pyannote[101].start 1715.94846875
transcript.pyannote[101].end 1717.50096875
transcript.pyannote[102].speaker SPEAKER_25
transcript.pyannote[102].start 1717.87221875
transcript.pyannote[102].end 1719.50909375
transcript.pyannote[103].speaker SPEAKER_25
transcript.pyannote[103].start 1719.91409375
transcript.pyannote[103].end 1725.97221875
transcript.pyannote[104].speaker SPEAKER_25
transcript.pyannote[104].start 1726.25909375
transcript.pyannote[104].end 1734.69659375
transcript.pyannote[105].speaker SPEAKER_25
transcript.pyannote[105].start 1735.81034375
transcript.pyannote[105].end 1746.62721875
transcript.pyannote[106].speaker SPEAKER_25
transcript.pyannote[106].start 1746.89721875
transcript.pyannote[106].end 1752.44909375
transcript.pyannote[107].speaker SPEAKER_25
transcript.pyannote[107].start 1753.44471875
transcript.pyannote[107].end 1757.24159375
transcript.pyannote[108].speaker SPEAKER_25
transcript.pyannote[108].start 1757.54534375
transcript.pyannote[108].end 1776.44534375
transcript.pyannote[109].speaker SPEAKER_25
transcript.pyannote[109].start 1776.64784375
transcript.pyannote[109].end 1785.30471875
transcript.pyannote[110].speaker SPEAKER_25
transcript.pyannote[110].start 1785.91221875
transcript.pyannote[110].end 1795.98659375
transcript.pyannote[111].speaker SPEAKER_25
transcript.pyannote[111].start 1796.88096875
transcript.pyannote[111].end 1807.02284375
transcript.pyannote[112].speaker SPEAKER_25
transcript.pyannote[112].start 1807.61346875
transcript.pyannote[112].end 1809.13221875
transcript.pyannote[113].speaker SPEAKER_25
transcript.pyannote[113].start 1809.16596875
transcript.pyannote[113].end 1810.56659375
transcript.pyannote[114].speaker SPEAKER_25
transcript.pyannote[114].start 1811.56221875
transcript.pyannote[114].end 1812.96284375
transcript.pyannote[115].speaker SPEAKER_27
transcript.pyannote[115].start 1812.96284375
transcript.pyannote[115].end 1816.18596875
transcript.pyannote[116].speaker SPEAKER_27
transcript.pyannote[116].start 1816.87784375
transcript.pyannote[116].end 1820.03346875
transcript.pyannote[117].speaker SPEAKER_21
transcript.pyannote[117].start 1821.65346875
transcript.pyannote[117].end 1834.54596875
transcript.pyannote[118].speaker SPEAKER_21
transcript.pyannote[118].start 1835.17034375
transcript.pyannote[118].end 1841.38034375
transcript.pyannote[119].speaker SPEAKER_21
transcript.pyannote[119].start 1841.54909375
transcript.pyannote[119].end 1855.13346875
transcript.pyannote[120].speaker SPEAKER_21
transcript.pyannote[120].start 1855.42034375
transcript.pyannote[120].end 1879.02846875
transcript.pyannote[121].speaker SPEAKER_21
transcript.pyannote[121].start 1879.14659375
transcript.pyannote[121].end 1885.72784375
transcript.pyannote[122].speaker SPEAKER_21
transcript.pyannote[122].start 1886.21721875
transcript.pyannote[122].end 1888.64721875
transcript.pyannote[123].speaker SPEAKER_21
transcript.pyannote[123].start 1888.98471875
transcript.pyannote[123].end 1890.50346875
transcript.pyannote[124].speaker SPEAKER_21
transcript.pyannote[124].start 1890.89159375
transcript.pyannote[124].end 1914.36471875
transcript.pyannote[125].speaker SPEAKER_21
transcript.pyannote[125].start 1914.83721875
transcript.pyannote[125].end 1933.63596875
transcript.pyannote[126].speaker SPEAKER_21
transcript.pyannote[126].start 1933.92284375
transcript.pyannote[126].end 1944.08159375
transcript.pyannote[127].speaker SPEAKER_21
transcript.pyannote[127].start 1944.52034375
transcript.pyannote[127].end 1977.98346875
transcript.pyannote[128].speaker SPEAKER_21
transcript.pyannote[128].start 1978.40534375
transcript.pyannote[128].end 2007.02534375
transcript.pyannote[129].speaker SPEAKER_21
transcript.pyannote[129].start 2007.46409375
transcript.pyannote[129].end 2017.18409375
transcript.pyannote[130].speaker SPEAKER_21
transcript.pyannote[130].start 2017.77471875
transcript.pyannote[130].end 2047.06971875
transcript.pyannote[131].speaker SPEAKER_21
transcript.pyannote[131].start 2047.37346875
transcript.pyannote[131].end 2063.21909375
transcript.pyannote[132].speaker SPEAKER_21
transcript.pyannote[132].start 2063.45534375
transcript.pyannote[132].end 2064.99096875
transcript.pyannote[133].speaker SPEAKER_21
transcript.pyannote[133].start 2065.05846875
transcript.pyannote[133].end 2078.60909375
transcript.pyannote[134].speaker SPEAKER_21
transcript.pyannote[134].start 2079.06471875
transcript.pyannote[134].end 2113.11846875
transcript.pyannote[135].speaker SPEAKER_21
transcript.pyannote[135].start 2113.65846875
transcript.pyannote[135].end 2114.78909375
transcript.pyannote[136].speaker SPEAKER_21
transcript.pyannote[136].start 2115.31221875
transcript.pyannote[136].end 2119.96971875
transcript.pyannote[137].speaker SPEAKER_21
transcript.pyannote[137].start 2120.07096875
transcript.pyannote[137].end 2122.02846875
transcript.pyannote[138].speaker SPEAKER_21
transcript.pyannote[138].start 2122.34909375
transcript.pyannote[138].end 2129.04846875
transcript.pyannote[139].speaker SPEAKER_21
transcript.pyannote[139].start 2129.26784375
transcript.pyannote[139].end 2137.67159375
transcript.pyannote[140].speaker SPEAKER_21
transcript.pyannote[140].start 2137.87409375
transcript.pyannote[140].end 2154.27659375
transcript.pyannote[141].speaker SPEAKER_21
transcript.pyannote[141].start 2154.71534375
transcript.pyannote[141].end 2161.09409375
transcript.pyannote[142].speaker SPEAKER_21
transcript.pyannote[142].start 2161.27971875
transcript.pyannote[142].end 2171.16846875
transcript.pyannote[143].speaker SPEAKER_21
transcript.pyannote[143].start 2171.38784375
transcript.pyannote[143].end 2186.71034375
transcript.pyannote[144].speaker SPEAKER_27
transcript.pyannote[144].start 2187.73971875
transcript.pyannote[144].end 2189.22471875
transcript.pyannote[145].speaker SPEAKER_27
transcript.pyannote[145].start 2189.56221875
transcript.pyannote[145].end 2194.62471875
transcript.pyannote[146].speaker SPEAKER_12
transcript.pyannote[146].start 2200.75034375
transcript.pyannote[146].end 2201.62784375
transcript.pyannote[147].speaker SPEAKER_12
transcript.pyannote[147].start 2201.94846875
transcript.pyannote[147].end 2204.12534375
transcript.pyannote[148].speaker SPEAKER_12
transcript.pyannote[148].start 2204.19284375
transcript.pyannote[148].end 2221.33784375
transcript.pyannote[149].speaker SPEAKER_12
transcript.pyannote[149].start 2221.42221875
transcript.pyannote[149].end 2223.48096875
transcript.pyannote[150].speaker SPEAKER_12
transcript.pyannote[150].start 2224.76346875
transcript.pyannote[150].end 2225.28659375
transcript.pyannote[151].speaker SPEAKER_12
transcript.pyannote[151].start 2225.62409375
transcript.pyannote[151].end 2231.37846875
transcript.pyannote[152].speaker SPEAKER_12
transcript.pyannote[152].start 2231.61471875
transcript.pyannote[152].end 2232.42471875
transcript.pyannote[153].speaker SPEAKER_12
transcript.pyannote[153].start 2232.99846875
transcript.pyannote[153].end 2241.18284375
transcript.pyannote[154].speaker SPEAKER_12
transcript.pyannote[154].start 2241.65534375
transcript.pyannote[154].end 2247.05534375
transcript.pyannote[155].speaker SPEAKER_12
transcript.pyannote[155].start 2247.59534375
transcript.pyannote[155].end 2256.67409375
transcript.pyannote[156].speaker SPEAKER_12
transcript.pyannote[156].start 2256.92721875
transcript.pyannote[156].end 2258.88471875
transcript.pyannote[157].speaker SPEAKER_12
transcript.pyannote[157].start 2260.15034375
transcript.pyannote[157].end 2266.91721875
transcript.pyannote[158].speaker SPEAKER_12
transcript.pyannote[158].start 2267.30534375
transcript.pyannote[158].end 2269.87034375
transcript.pyannote[159].speaker SPEAKER_12
transcript.pyannote[159].start 2270.27534375
transcript.pyannote[159].end 2272.11471875
transcript.pyannote[160].speaker SPEAKER_12
transcript.pyannote[160].start 2273.02596875
transcript.pyannote[160].end 2277.63284375
transcript.pyannote[161].speaker SPEAKER_12
transcript.pyannote[161].start 2278.08846875
transcript.pyannote[161].end 2281.66596875
transcript.pyannote[162].speaker SPEAKER_12
transcript.pyannote[162].start 2281.68284375
transcript.pyannote[162].end 2283.16784375
transcript.pyannote[163].speaker SPEAKER_12
transcript.pyannote[163].start 2283.35346875
transcript.pyannote[163].end 2284.12971875
transcript.pyannote[164].speaker SPEAKER_12
transcript.pyannote[164].start 2285.86784375
transcript.pyannote[164].end 2290.08659375
transcript.pyannote[165].speaker SPEAKER_12
transcript.pyannote[165].start 2290.96409375
transcript.pyannote[165].end 2293.19159375
transcript.pyannote[166].speaker SPEAKER_12
transcript.pyannote[166].start 2293.36034375
transcript.pyannote[166].end 2304.21096875
transcript.pyannote[167].speaker SPEAKER_12
transcript.pyannote[167].start 2305.99971875
transcript.pyannote[167].end 2306.32034375
transcript.pyannote[168].speaker SPEAKER_12
transcript.pyannote[168].start 2307.14721875
transcript.pyannote[168].end 2311.46721875
transcript.pyannote[169].speaker SPEAKER_12
transcript.pyannote[169].start 2311.87221875
transcript.pyannote[169].end 2317.87971875
transcript.pyannote[170].speaker SPEAKER_12
transcript.pyannote[170].start 2318.70659375
transcript.pyannote[170].end 2320.00596875
transcript.pyannote[171].speaker SPEAKER_12
transcript.pyannote[171].start 2320.63034375
transcript.pyannote[171].end 2324.14034375
transcript.pyannote[172].speaker SPEAKER_12
transcript.pyannote[172].start 2324.46096875
transcript.pyannote[172].end 2329.81034375
transcript.pyannote[173].speaker SPEAKER_12
transcript.pyannote[173].start 2330.45159375
transcript.pyannote[173].end 2335.59846875
transcript.pyannote[174].speaker SPEAKER_12
transcript.pyannote[174].start 2336.10471875
transcript.pyannote[174].end 2342.43284375
transcript.pyannote[175].speaker SPEAKER_12
transcript.pyannote[175].start 2342.85471875
transcript.pyannote[175].end 2352.43971875
transcript.pyannote[176].speaker SPEAKER_12
transcript.pyannote[176].start 2354.07659375
transcript.pyannote[176].end 2354.44784375
transcript.pyannote[177].speaker SPEAKER_12
transcript.pyannote[177].start 2354.97096875
transcript.pyannote[177].end 2358.16034375
transcript.pyannote[178].speaker SPEAKER_12
transcript.pyannote[178].start 2358.98721875
transcript.pyannote[178].end 2370.58034375
transcript.pyannote[179].speaker SPEAKER_12
transcript.pyannote[179].start 2370.78284375
transcript.pyannote[179].end 2372.52096875
transcript.pyannote[180].speaker SPEAKER_12
transcript.pyannote[180].start 2373.43221875
transcript.pyannote[180].end 2379.82784375
transcript.pyannote[181].speaker SPEAKER_12
transcript.pyannote[181].start 2379.96284375
transcript.pyannote[181].end 2381.95409375
transcript.pyannote[182].speaker SPEAKER_12
transcript.pyannote[182].start 2382.25784375
transcript.pyannote[182].end 2389.04159375
transcript.pyannote[183].speaker SPEAKER_12
transcript.pyannote[183].start 2389.51409375
transcript.pyannote[183].end 2397.25971875
transcript.pyannote[184].speaker SPEAKER_12
transcript.pyannote[184].start 2398.17096875
transcript.pyannote[184].end 2401.09034375
transcript.pyannote[185].speaker SPEAKER_12
transcript.pyannote[185].start 2401.84971875
transcript.pyannote[185].end 2404.27971875
transcript.pyannote[186].speaker SPEAKER_12
transcript.pyannote[186].start 2404.41471875
transcript.pyannote[186].end 2415.50159375
transcript.pyannote[187].speaker SPEAKER_12
transcript.pyannote[187].start 2417.44221875
transcript.pyannote[187].end 2420.61471875
transcript.pyannote[188].speaker SPEAKER_12
transcript.pyannote[188].start 2421.18846875
transcript.pyannote[188].end 2430.63846875
transcript.pyannote[189].speaker SPEAKER_12
transcript.pyannote[189].start 2431.22909375
transcript.pyannote[189].end 2439.24471875
transcript.pyannote[190].speaker SPEAKER_12
transcript.pyannote[190].start 2440.13909375
transcript.pyannote[190].end 2447.73284375
transcript.pyannote[191].speaker SPEAKER_12
transcript.pyannote[191].start 2448.30659375
transcript.pyannote[191].end 2457.08159375
transcript.pyannote[192].speaker SPEAKER_12
transcript.pyannote[192].start 2457.11534375
transcript.pyannote[192].end 2457.75659375
transcript.pyannote[193].speaker SPEAKER_12
transcript.pyannote[193].start 2458.02659375
transcript.pyannote[193].end 2463.00471875
transcript.pyannote[194].speaker SPEAKER_12
transcript.pyannote[194].start 2463.71346875
transcript.pyannote[194].end 2464.64159375
transcript.pyannote[195].speaker SPEAKER_12
transcript.pyannote[195].start 2464.94534375
transcript.pyannote[195].end 2467.86471875
transcript.pyannote[196].speaker SPEAKER_12
transcript.pyannote[196].start 2468.47221875
transcript.pyannote[196].end 2470.85159375
transcript.pyannote[197].speaker SPEAKER_27
transcript.pyannote[197].start 2471.59409375
transcript.pyannote[197].end 2473.41659375
transcript.pyannote[198].speaker SPEAKER_27
transcript.pyannote[198].start 2473.97346875
transcript.pyannote[198].end 2478.81659375
transcript.pyannote[199].speaker SPEAKER_27
transcript.pyannote[199].start 2479.06971875
transcript.pyannote[199].end 2480.33534375
transcript.pyannote[200].speaker SPEAKER_07
transcript.pyannote[200].start 2485.48221875
transcript.pyannote[200].end 2485.81971875
transcript.pyannote[201].speaker SPEAKER_07
transcript.pyannote[201].start 2486.20784375
transcript.pyannote[201].end 2487.57471875
transcript.pyannote[202].speaker SPEAKER_07
transcript.pyannote[202].start 2487.87846875
transcript.pyannote[202].end 2488.43534375
transcript.pyannote[203].speaker SPEAKER_07
transcript.pyannote[203].start 2488.62096875
transcript.pyannote[203].end 2490.71346875
transcript.pyannote[204].speaker SPEAKER_07
transcript.pyannote[204].start 2491.03409375
transcript.pyannote[204].end 2494.96596875
transcript.pyannote[205].speaker SPEAKER_07
transcript.pyannote[205].start 2495.52284375
transcript.pyannote[205].end 2495.79284375
transcript.pyannote[206].speaker SPEAKER_07
transcript.pyannote[206].start 2496.28221875
transcript.pyannote[206].end 2497.34534375
transcript.pyannote[207].speaker SPEAKER_07
transcript.pyannote[207].start 2498.13846875
transcript.pyannote[207].end 2501.73284375
transcript.pyannote[208].speaker SPEAKER_07
transcript.pyannote[208].start 2502.44159375
transcript.pyannote[208].end 2509.29284375
transcript.pyannote[209].speaker SPEAKER_07
transcript.pyannote[209].start 2509.98471875
transcript.pyannote[209].end 2510.28846875
transcript.pyannote[210].speaker SPEAKER_07
transcript.pyannote[210].start 2510.50784375
transcript.pyannote[210].end 2511.09846875
transcript.pyannote[211].speaker SPEAKER_07
transcript.pyannote[211].start 2511.41909375
transcript.pyannote[211].end 2512.90409375
transcript.pyannote[212].speaker SPEAKER_07
transcript.pyannote[212].start 2513.35971875
transcript.pyannote[212].end 2515.43534375
transcript.pyannote[213].speaker SPEAKER_07
transcript.pyannote[213].start 2516.22846875
transcript.pyannote[213].end 2517.27471875
transcript.pyannote[214].speaker SPEAKER_07
transcript.pyannote[214].start 2517.39284375
transcript.pyannote[214].end 2518.60784375
transcript.pyannote[215].speaker SPEAKER_07
transcript.pyannote[215].start 2518.69221875
transcript.pyannote[215].end 2519.67096875
transcript.pyannote[216].speaker SPEAKER_07
transcript.pyannote[216].start 2519.95784375
transcript.pyannote[216].end 2520.88596875
transcript.pyannote[217].speaker SPEAKER_07
transcript.pyannote[217].start 2521.22346875
transcript.pyannote[217].end 2524.76721875
transcript.pyannote[218].speaker SPEAKER_07
transcript.pyannote[218].start 2525.08784375
transcript.pyannote[218].end 2527.70346875
transcript.pyannote[219].speaker SPEAKER_07
transcript.pyannote[219].start 2527.95659375
transcript.pyannote[219].end 2528.29409375
transcript.pyannote[220].speaker SPEAKER_07
transcript.pyannote[220].start 2528.53034375
transcript.pyannote[220].end 2531.07846875
transcript.pyannote[221].speaker SPEAKER_07
transcript.pyannote[221].start 2531.58471875
transcript.pyannote[221].end 2532.42846875
transcript.pyannote[222].speaker SPEAKER_07
transcript.pyannote[222].start 2533.05284375
transcript.pyannote[222].end 2533.49159375
transcript.pyannote[223].speaker SPEAKER_07
transcript.pyannote[223].start 2533.96409375
transcript.pyannote[223].end 2535.46596875
transcript.pyannote[224].speaker SPEAKER_07
transcript.pyannote[224].start 2535.85409375
transcript.pyannote[224].end 2536.76534375
transcript.pyannote[225].speaker SPEAKER_07
transcript.pyannote[225].start 2537.13659375
transcript.pyannote[225].end 2537.99721875
transcript.pyannote[226].speaker SPEAKER_07
transcript.pyannote[226].start 2538.79034375
transcript.pyannote[226].end 2539.85346875
transcript.pyannote[227].speaker SPEAKER_07
transcript.pyannote[227].start 2540.10659375
transcript.pyannote[227].end 2542.21596875
transcript.pyannote[228].speaker SPEAKER_07
transcript.pyannote[228].start 2542.60409375
transcript.pyannote[228].end 2544.79784375
transcript.pyannote[229].speaker SPEAKER_07
transcript.pyannote[229].start 2545.27034375
transcript.pyannote[229].end 2545.59096875
transcript.pyannote[230].speaker SPEAKER_07
transcript.pyannote[230].start 2545.81034375
transcript.pyannote[230].end 2545.99596875
transcript.pyannote[231].speaker SPEAKER_07
transcript.pyannote[231].start 2546.28284375
transcript.pyannote[231].end 2546.85659375
transcript.pyannote[232].speaker SPEAKER_07
transcript.pyannote[232].start 2547.29534375
transcript.pyannote[232].end 2548.27409375
transcript.pyannote[233].speaker SPEAKER_07
transcript.pyannote[233].start 2549.16846875
transcript.pyannote[233].end 2553.69096875
transcript.pyannote[234].speaker SPEAKER_07
transcript.pyannote[234].start 2554.07909375
transcript.pyannote[234].end 2554.95659375
transcript.pyannote[235].speaker SPEAKER_07
transcript.pyannote[235].start 2555.09159375
transcript.pyannote[235].end 2557.79159375
transcript.pyannote[236].speaker SPEAKER_07
transcript.pyannote[236].start 2558.48346875
transcript.pyannote[236].end 2560.12034375
transcript.pyannote[237].speaker SPEAKER_07
transcript.pyannote[237].start 2560.57596875
transcript.pyannote[237].end 2561.38596875
transcript.pyannote[238].speaker SPEAKER_07
transcript.pyannote[238].start 2561.57159375
transcript.pyannote[238].end 2562.80346875
transcript.pyannote[239].speaker SPEAKER_07
transcript.pyannote[239].start 2563.44471875
transcript.pyannote[239].end 2565.67221875
transcript.pyannote[240].speaker SPEAKER_07
transcript.pyannote[240].start 2565.99284375
transcript.pyannote[240].end 2566.75221875
transcript.pyannote[241].speaker SPEAKER_07
transcript.pyannote[241].start 2566.97159375
transcript.pyannote[241].end 2567.84909375
transcript.pyannote[242].speaker SPEAKER_07
transcript.pyannote[242].start 2568.49034375
transcript.pyannote[242].end 2569.72221875
transcript.pyannote[243].speaker SPEAKER_07
transcript.pyannote[243].start 2569.78971875
transcript.pyannote[243].end 2570.93721875
transcript.pyannote[244].speaker SPEAKER_07
transcript.pyannote[244].start 2571.34221875
transcript.pyannote[244].end 2573.19846875
transcript.pyannote[245].speaker SPEAKER_07
transcript.pyannote[245].start 2573.43471875
transcript.pyannote[245].end 2574.93659375
transcript.pyannote[246].speaker SPEAKER_07
transcript.pyannote[246].start 2574.95346875
transcript.pyannote[246].end 2576.42159375
transcript.pyannote[247].speaker SPEAKER_07
transcript.pyannote[247].start 2576.87721875
transcript.pyannote[247].end 2577.34971875
transcript.pyannote[248].speaker SPEAKER_07
transcript.pyannote[248].start 2577.87284375
transcript.pyannote[248].end 2580.50534375
transcript.pyannote[249].speaker SPEAKER_07
transcript.pyannote[249].start 2580.75846875
transcript.pyannote[249].end 2581.09596875
transcript.pyannote[250].speaker SPEAKER_07
transcript.pyannote[250].start 2581.41659375
transcript.pyannote[250].end 2581.80471875
transcript.pyannote[251].speaker SPEAKER_07
transcript.pyannote[251].start 2582.20971875
transcript.pyannote[251].end 2582.98596875
transcript.pyannote[252].speaker SPEAKER_07
transcript.pyannote[252].start 2583.54284375
transcript.pyannote[252].end 2584.94346875
transcript.pyannote[253].speaker SPEAKER_07
transcript.pyannote[253].start 2585.88846875
transcript.pyannote[253].end 2586.12471875
transcript.pyannote[254].speaker SPEAKER_07
transcript.pyannote[254].start 2586.49596875
transcript.pyannote[254].end 2587.86284375
transcript.pyannote[255].speaker SPEAKER_07
transcript.pyannote[255].start 2588.25096875
transcript.pyannote[255].end 2590.00596875
transcript.pyannote[256].speaker SPEAKER_07
transcript.pyannote[256].start 2590.44471875
transcript.pyannote[256].end 2592.52034375
transcript.pyannote[257].speaker SPEAKER_07
transcript.pyannote[257].start 2592.73971875
transcript.pyannote[257].end 2594.71409375
transcript.pyannote[258].speaker SPEAKER_07
transcript.pyannote[258].start 2595.16971875
transcript.pyannote[258].end 2598.10596875
transcript.pyannote[259].speaker SPEAKER_07
transcript.pyannote[259].start 2598.44346875
transcript.pyannote[259].end 2601.58221875
transcript.pyannote[260].speaker SPEAKER_07
transcript.pyannote[260].start 2602.27409375
transcript.pyannote[260].end 2603.13471875
transcript.pyannote[261].speaker SPEAKER_07
transcript.pyannote[261].start 2603.37096875
transcript.pyannote[261].end 2604.04596875
transcript.pyannote[262].speaker SPEAKER_07
transcript.pyannote[262].start 2604.38346875
transcript.pyannote[262].end 2606.93159375
transcript.pyannote[263].speaker SPEAKER_07
transcript.pyannote[263].start 2606.99909375
transcript.pyannote[263].end 2607.62346875
transcript.pyannote[264].speaker SPEAKER_07
transcript.pyannote[264].start 2607.77534375
transcript.pyannote[264].end 2609.54721875
transcript.pyannote[265].speaker SPEAKER_07
transcript.pyannote[265].start 2609.93534375
transcript.pyannote[265].end 2611.85909375
transcript.pyannote[266].speaker SPEAKER_07
transcript.pyannote[266].start 2612.19659375
transcript.pyannote[266].end 2612.60159375
transcript.pyannote[267].speaker SPEAKER_07
transcript.pyannote[267].start 2613.27659375
transcript.pyannote[267].end 2614.42409375
transcript.pyannote[268].speaker SPEAKER_07
transcript.pyannote[268].start 2614.98096875
transcript.pyannote[268].end 2615.43659375
transcript.pyannote[269].speaker SPEAKER_07
transcript.pyannote[269].start 2616.02721875
transcript.pyannote[269].end 2617.14096875
transcript.pyannote[270].speaker SPEAKER_07
transcript.pyannote[270].start 2617.36034375
transcript.pyannote[270].end 2617.76534375
transcript.pyannote[271].speaker SPEAKER_07
transcript.pyannote[271].start 2618.18721875
transcript.pyannote[271].end 2619.43596875
transcript.pyannote[272].speaker SPEAKER_07
transcript.pyannote[272].start 2619.67221875
transcript.pyannote[272].end 2619.99284375
transcript.pyannote[273].speaker SPEAKER_07
transcript.pyannote[273].start 2620.27971875
transcript.pyannote[273].end 2621.35971875
transcript.pyannote[274].speaker SPEAKER_07
transcript.pyannote[274].start 2621.79846875
transcript.pyannote[274].end 2622.32159375
transcript.pyannote[275].speaker SPEAKER_07
transcript.pyannote[275].start 2622.72659375
transcript.pyannote[275].end 2623.06409375
transcript.pyannote[276].speaker SPEAKER_07
transcript.pyannote[276].start 2624.12721875
transcript.pyannote[276].end 2624.81909375
transcript.pyannote[277].speaker SPEAKER_07
transcript.pyannote[277].start 2625.37596875
transcript.pyannote[277].end 2626.25346875
transcript.pyannote[278].speaker SPEAKER_07
transcript.pyannote[278].start 2626.52346875
transcript.pyannote[278].end 2627.24909375
transcript.pyannote[279].speaker SPEAKER_07
transcript.pyannote[279].start 2627.99159375
transcript.pyannote[279].end 2629.05471875
transcript.pyannote[280].speaker SPEAKER_07
transcript.pyannote[280].start 2629.57784375
transcript.pyannote[280].end 2632.46346875
transcript.pyannote[281].speaker SPEAKER_07
transcript.pyannote[281].start 2633.07096875
transcript.pyannote[281].end 2636.07471875
transcript.pyannote[282].speaker SPEAKER_07
transcript.pyannote[282].start 2636.93534375
transcript.pyannote[282].end 2638.38659375
transcript.pyannote[283].speaker SPEAKER_07
transcript.pyannote[283].start 2638.99409375
transcript.pyannote[283].end 2639.65221875
transcript.pyannote[284].speaker SPEAKER_07
transcript.pyannote[284].start 2639.87159375
transcript.pyannote[284].end 2641.79534375
transcript.pyannote[285].speaker SPEAKER_07
transcript.pyannote[285].start 2642.08221875
transcript.pyannote[285].end 2642.53784375
transcript.pyannote[286].speaker SPEAKER_07
transcript.pyannote[286].start 2642.99346875
transcript.pyannote[286].end 2648.12346875
transcript.pyannote[287].speaker SPEAKER_07
transcript.pyannote[287].start 2648.89971875
transcript.pyannote[287].end 2649.38909375
transcript.pyannote[288].speaker SPEAKER_07
transcript.pyannote[288].start 2649.40596875
transcript.pyannote[288].end 2651.97096875
transcript.pyannote[289].speaker SPEAKER_07
transcript.pyannote[289].start 2652.44346875
transcript.pyannote[289].end 2653.20284375
transcript.pyannote[290].speaker SPEAKER_07
transcript.pyannote[290].start 2653.64159375
transcript.pyannote[290].end 2654.46846875
transcript.pyannote[291].speaker SPEAKER_07
transcript.pyannote[291].start 2654.62034375
transcript.pyannote[291].end 2658.26534375
transcript.pyannote[292].speaker SPEAKER_07
transcript.pyannote[292].start 2658.45096875
transcript.pyannote[292].end 2660.64471875
transcript.pyannote[293].speaker SPEAKER_07
transcript.pyannote[293].start 2661.52221875
transcript.pyannote[293].end 2663.34471875
transcript.pyannote[294].speaker SPEAKER_07
transcript.pyannote[294].start 2663.69909375
transcript.pyannote[294].end 2664.72846875
transcript.pyannote[295].speaker SPEAKER_07
transcript.pyannote[295].start 2665.45409375
transcript.pyannote[295].end 2666.33159375
transcript.pyannote[296].speaker SPEAKER_07
transcript.pyannote[296].start 2666.80409375
transcript.pyannote[296].end 2667.51284375
transcript.pyannote[297].speaker SPEAKER_07
transcript.pyannote[297].start 2667.58034375
transcript.pyannote[297].end 2668.17096875
transcript.pyannote[298].speaker SPEAKER_07
transcript.pyannote[298].start 2668.52534375
transcript.pyannote[298].end 2669.18346875
transcript.pyannote[299].speaker SPEAKER_07
transcript.pyannote[299].start 2669.25096875
transcript.pyannote[299].end 2670.24659375
transcript.pyannote[300].speaker SPEAKER_07
transcript.pyannote[300].start 2670.82034375
transcript.pyannote[300].end 2672.03534375
transcript.pyannote[301].speaker SPEAKER_07
transcript.pyannote[301].start 2672.45721875
transcript.pyannote[301].end 2672.84534375
transcript.pyannote[302].speaker SPEAKER_07
transcript.pyannote[302].start 2673.09846875
transcript.pyannote[302].end 2674.87034375
transcript.pyannote[303].speaker SPEAKER_07
transcript.pyannote[303].start 2675.47784375
transcript.pyannote[303].end 2675.84909375
transcript.pyannote[304].speaker SPEAKER_07
transcript.pyannote[304].start 2676.22034375
transcript.pyannote[304].end 2676.67596875
transcript.pyannote[305].speaker SPEAKER_07
transcript.pyannote[305].start 2677.09784375
transcript.pyannote[305].end 2678.39721875
transcript.pyannote[306].speaker SPEAKER_07
transcript.pyannote[306].start 2679.03846875
transcript.pyannote[306].end 2679.35909375
transcript.pyannote[307].speaker SPEAKER_07
transcript.pyannote[307].start 2679.54471875
transcript.pyannote[307].end 2680.91159375
transcript.pyannote[308].speaker SPEAKER_07
transcript.pyannote[308].start 2681.60346875
transcript.pyannote[308].end 2687.32409375
transcript.pyannote[309].speaker SPEAKER_07
transcript.pyannote[309].start 2687.83034375
transcript.pyannote[309].end 2688.99471875
transcript.pyannote[310].speaker SPEAKER_07
transcript.pyannote[310].start 2689.33221875
transcript.pyannote[310].end 2689.83846875
transcript.pyannote[311].speaker SPEAKER_07
transcript.pyannote[311].start 2690.29409375
transcript.pyannote[311].end 2693.04471875
transcript.pyannote[312].speaker SPEAKER_07
transcript.pyannote[312].start 2693.26409375
transcript.pyannote[312].end 2694.91784375
transcript.pyannote[313].speaker SPEAKER_07
transcript.pyannote[313].start 2695.27221875
transcript.pyannote[313].end 2695.77846875
transcript.pyannote[314].speaker SPEAKER_07
transcript.pyannote[314].start 2696.16659375
transcript.pyannote[314].end 2698.90034375
transcript.pyannote[315].speaker SPEAKER_07
transcript.pyannote[315].start 2699.32221875
transcript.pyannote[315].end 2702.78159375
transcript.pyannote[316].speaker SPEAKER_07
transcript.pyannote[316].start 2702.95034375
transcript.pyannote[316].end 2704.06409375
transcript.pyannote[317].speaker SPEAKER_07
transcript.pyannote[317].start 2704.68846875
transcript.pyannote[317].end 2707.59096875
transcript.pyannote[318].speaker SPEAKER_07
transcript.pyannote[318].start 2708.08034375
transcript.pyannote[318].end 2712.02909375
transcript.pyannote[319].speaker SPEAKER_07
transcript.pyannote[319].start 2712.06284375
transcript.pyannote[319].end 2714.22284375
transcript.pyannote[320].speaker SPEAKER_07
transcript.pyannote[320].start 2714.88096875
transcript.pyannote[320].end 2716.36596875
transcript.pyannote[321].speaker SPEAKER_07
transcript.pyannote[321].start 2717.09159375
transcript.pyannote[321].end 2717.93534375
transcript.pyannote[322].speaker SPEAKER_07
transcript.pyannote[322].start 2718.37409375
transcript.pyannote[322].end 2719.79159375
transcript.pyannote[323].speaker SPEAKER_07
transcript.pyannote[323].start 2720.56784375
transcript.pyannote[323].end 2722.44096875
transcript.pyannote[324].speaker SPEAKER_07
transcript.pyannote[324].start 2722.93034375
transcript.pyannote[324].end 2723.20034375
transcript.pyannote[325].speaker SPEAKER_07
transcript.pyannote[325].start 2723.53784375
transcript.pyannote[325].end 2725.20846875
transcript.pyannote[326].speaker SPEAKER_07
transcript.pyannote[326].start 2725.68096875
transcript.pyannote[326].end 2726.69346875
transcript.pyannote[327].speaker SPEAKER_07
transcript.pyannote[327].start 2727.31784375
transcript.pyannote[327].end 2727.67221875
transcript.pyannote[328].speaker SPEAKER_07
transcript.pyannote[328].start 2728.07721875
transcript.pyannote[328].end 2729.17409375
transcript.pyannote[329].speaker SPEAKER_07
transcript.pyannote[329].start 2729.49471875
transcript.pyannote[329].end 2730.54096875
transcript.pyannote[330].speaker SPEAKER_07
transcript.pyannote[330].start 2731.19909375
transcript.pyannote[330].end 2732.97096875
transcript.pyannote[331].speaker SPEAKER_07
transcript.pyannote[331].start 2733.32534375
transcript.pyannote[331].end 2735.46846875
transcript.pyannote[332].speaker SPEAKER_07
transcript.pyannote[332].start 2735.95784375
transcript.pyannote[332].end 2737.05471875
transcript.pyannote[333].speaker SPEAKER_07
transcript.pyannote[333].start 2737.45971875
transcript.pyannote[333].end 2739.46784375
transcript.pyannote[334].speaker SPEAKER_07
transcript.pyannote[334].start 2739.70409375
transcript.pyannote[334].end 2740.15971875
transcript.pyannote[335].speaker SPEAKER_07
transcript.pyannote[335].start 2740.58159375
transcript.pyannote[335].end 2742.08346875
transcript.pyannote[336].speaker SPEAKER_07
transcript.pyannote[336].start 2742.79221875
transcript.pyannote[336].end 2745.27284375
transcript.pyannote[337].speaker SPEAKER_07
transcript.pyannote[337].start 2745.69471875
transcript.pyannote[337].end 2750.74034375
transcript.pyannote[338].speaker SPEAKER_07
transcript.pyannote[338].start 2751.19596875
transcript.pyannote[338].end 2752.73159375
transcript.pyannote[339].speaker SPEAKER_07
transcript.pyannote[339].start 2753.23784375
transcript.pyannote[339].end 2753.54159375
transcript.pyannote[340].speaker SPEAKER_07
transcript.pyannote[340].start 2754.28409375
transcript.pyannote[340].end 2754.94221875
transcript.pyannote[341].speaker SPEAKER_07
transcript.pyannote[341].start 2755.44846875
transcript.pyannote[341].end 2755.87034375
transcript.pyannote[342].speaker SPEAKER_07
transcript.pyannote[342].start 2756.19096875
transcript.pyannote[342].end 2756.51159375
transcript.pyannote[343].speaker SPEAKER_07
transcript.pyannote[343].start 2757.11909375
transcript.pyannote[343].end 2757.59159375
transcript.pyannote[344].speaker SPEAKER_07
transcript.pyannote[344].start 2757.84471875
transcript.pyannote[344].end 2759.07659375
transcript.pyannote[345].speaker SPEAKER_07
transcript.pyannote[345].start 2759.53221875
transcript.pyannote[345].end 2761.33784375
transcript.pyannote[346].speaker SPEAKER_07
transcript.pyannote[346].start 2761.64159375
transcript.pyannote[346].end 2766.94034375
transcript.pyannote[347].speaker SPEAKER_07
transcript.pyannote[347].start 2767.36221875
transcript.pyannote[347].end 2769.47159375
transcript.pyannote[348].speaker SPEAKER_07
transcript.pyannote[348].start 2769.97784375
transcript.pyannote[348].end 2771.63159375
transcript.pyannote[349].speaker SPEAKER_07
transcript.pyannote[349].start 2772.34034375
transcript.pyannote[349].end 2772.93096875
transcript.pyannote[350].speaker SPEAKER_07
transcript.pyannote[350].start 2773.69034375
transcript.pyannote[350].end 2774.19659375
transcript.pyannote[351].speaker SPEAKER_07
transcript.pyannote[351].start 2774.29784375
transcript.pyannote[351].end 2775.56346875
transcript.pyannote[352].speaker SPEAKER_07
transcript.pyannote[352].start 2776.55909375
transcript.pyannote[352].end 2779.10721875
transcript.pyannote[353].speaker SPEAKER_07
transcript.pyannote[353].start 2779.44471875
transcript.pyannote[353].end 2779.90034375
transcript.pyannote[354].speaker SPEAKER_07
transcript.pyannote[354].start 2780.35596875
transcript.pyannote[354].end 2780.72721875
transcript.pyannote[355].speaker SPEAKER_07
transcript.pyannote[355].start 2780.86221875
transcript.pyannote[355].end 2782.17846875
transcript.pyannote[356].speaker SPEAKER_07
transcript.pyannote[356].start 2782.83659375
transcript.pyannote[356].end 2783.34284375
transcript.pyannote[357].speaker SPEAKER_07
transcript.pyannote[357].start 2783.61284375
transcript.pyannote[357].end 2784.00096875
transcript.pyannote[358].speaker SPEAKER_07
transcript.pyannote[358].start 2784.79409375
transcript.pyannote[358].end 2786.22846875
transcript.pyannote[359].speaker SPEAKER_07
transcript.pyannote[359].start 2786.46471875
transcript.pyannote[359].end 2787.05534375
transcript.pyannote[360].speaker SPEAKER_07
transcript.pyannote[360].start 2787.40971875
transcript.pyannote[360].end 2788.05096875
transcript.pyannote[361].speaker SPEAKER_07
transcript.pyannote[361].start 2788.86096875
transcript.pyannote[361].end 2789.63721875
transcript.pyannote[362].speaker SPEAKER_07
transcript.pyannote[362].start 2789.92409375
transcript.pyannote[362].end 2790.34596875
transcript.pyannote[363].speaker SPEAKER_07
transcript.pyannote[363].start 2790.80159375
transcript.pyannote[363].end 2791.29096875
transcript.pyannote[364].speaker SPEAKER_07
transcript.pyannote[364].start 2791.89846875
transcript.pyannote[364].end 2792.26971875
transcript.pyannote[365].speaker SPEAKER_07
transcript.pyannote[365].start 2792.48909375
transcript.pyannote[365].end 2794.22721875
transcript.pyannote[366].speaker SPEAKER_07
transcript.pyannote[366].start 2794.64909375
transcript.pyannote[366].end 2795.27346875
transcript.pyannote[367].speaker SPEAKER_07
transcript.pyannote[367].start 2795.42534375
transcript.pyannote[367].end 2796.01596875
transcript.pyannote[368].speaker SPEAKER_07
transcript.pyannote[368].start 2796.38721875
transcript.pyannote[368].end 2796.89346875
transcript.pyannote[369].speaker SPEAKER_07
transcript.pyannote[369].start 2797.51784375
transcript.pyannote[369].end 2798.15909375
transcript.pyannote[370].speaker SPEAKER_07
transcript.pyannote[370].start 2798.26034375
transcript.pyannote[370].end 2799.07034375
transcript.pyannote[371].speaker SPEAKER_07
transcript.pyannote[371].start 2799.77909375
transcript.pyannote[371].end 2801.56784375
transcript.pyannote[372].speaker SPEAKER_07
transcript.pyannote[372].start 2801.78721875
transcript.pyannote[372].end 2802.27659375
transcript.pyannote[373].speaker SPEAKER_07
transcript.pyannote[373].start 2802.66471875
transcript.pyannote[373].end 2803.87971875
transcript.pyannote[374].speaker SPEAKER_07
transcript.pyannote[374].start 2804.33534375
transcript.pyannote[374].end 2804.67284375
transcript.pyannote[375].speaker SPEAKER_07
transcript.pyannote[375].start 2804.97659375
transcript.pyannote[375].end 2805.51659375
transcript.pyannote[376].speaker SPEAKER_07
transcript.pyannote[376].start 2806.00596875
transcript.pyannote[376].end 2806.46159375
transcript.pyannote[377].speaker SPEAKER_07
transcript.pyannote[377].start 2808.08159375
transcript.pyannote[377].end 2809.46534375
transcript.pyannote[378].speaker SPEAKER_07
transcript.pyannote[378].start 2809.65096875
transcript.pyannote[378].end 2810.59596875
transcript.pyannote[379].speaker SPEAKER_07
transcript.pyannote[379].start 2811.22034375
transcript.pyannote[379].end 2812.95846875
transcript.pyannote[380].speaker SPEAKER_07
transcript.pyannote[380].start 2813.19471875
transcript.pyannote[380].end 2813.58284375
transcript.pyannote[381].speaker SPEAKER_07
transcript.pyannote[381].start 2813.83596875
transcript.pyannote[381].end 2816.29971875
transcript.pyannote[382].speaker SPEAKER_07
transcript.pyannote[382].start 2816.48534375
transcript.pyannote[382].end 2816.99159375
transcript.pyannote[383].speaker SPEAKER_07
transcript.pyannote[383].start 2817.34596875
transcript.pyannote[383].end 2818.59471875
transcript.pyannote[384].speaker SPEAKER_07
transcript.pyannote[384].start 2818.76346875
transcript.pyannote[384].end 2820.43409375
transcript.pyannote[385].speaker SPEAKER_07
transcript.pyannote[385].start 2820.82221875
transcript.pyannote[385].end 2821.19346875
transcript.pyannote[386].speaker SPEAKER_07
transcript.pyannote[386].start 2822.20596875
transcript.pyannote[386].end 2822.72909375
transcript.pyannote[387].speaker SPEAKER_07
transcript.pyannote[387].start 2823.25221875
transcript.pyannote[387].end 2823.69096875
transcript.pyannote[388].speaker SPEAKER_07
transcript.pyannote[388].start 2825.34471875
transcript.pyannote[388].end 2825.66534375
transcript.pyannote[389].speaker SPEAKER_07
transcript.pyannote[389].start 2825.80034375
transcript.pyannote[389].end 2827.11659375
transcript.pyannote[390].speaker SPEAKER_07
transcript.pyannote[390].start 2827.48784375
transcript.pyannote[390].end 2828.56784375
transcript.pyannote[391].speaker SPEAKER_07
transcript.pyannote[391].start 2828.71971875
transcript.pyannote[391].end 2828.78721875
transcript.pyannote[392].speaker SPEAKER_07
transcript.pyannote[392].start 2829.12471875
transcript.pyannote[392].end 2829.71534375
transcript.pyannote[393].speaker SPEAKER_07
transcript.pyannote[393].start 2829.79971875
transcript.pyannote[393].end 2830.52534375
transcript.pyannote[394].speaker SPEAKER_07
transcript.pyannote[394].start 2830.84596875
transcript.pyannote[394].end 2831.21721875
transcript.pyannote[395].speaker SPEAKER_07
transcript.pyannote[395].start 2831.41971875
transcript.pyannote[395].end 2833.84971875
transcript.pyannote[396].speaker SPEAKER_07
transcript.pyannote[396].start 2834.15346875
transcript.pyannote[396].end 2834.89596875
transcript.pyannote[397].speaker SPEAKER_07
transcript.pyannote[397].start 2835.36846875
transcript.pyannote[397].end 2836.16159375
transcript.pyannote[398].speaker SPEAKER_07
transcript.pyannote[398].start 2837.17409375
transcript.pyannote[398].end 2837.83221875
transcript.pyannote[399].speaker SPEAKER_07
transcript.pyannote[399].start 2838.28784375
transcript.pyannote[399].end 2838.96284375
transcript.pyannote[400].speaker SPEAKER_07
transcript.pyannote[400].start 2839.84034375
transcript.pyannote[400].end 2840.36346875
transcript.pyannote[401].speaker SPEAKER_07
transcript.pyannote[401].start 2840.92034375
transcript.pyannote[401].end 2842.74284375
transcript.pyannote[402].speaker SPEAKER_07
transcript.pyannote[402].start 2842.96221875
transcript.pyannote[402].end 2845.54409375
transcript.pyannote[403].speaker SPEAKER_07
transcript.pyannote[403].start 2845.71284375
transcript.pyannote[403].end 2847.77159375
transcript.pyannote[404].speaker SPEAKER_07
transcript.pyannote[404].start 2847.88971875
transcript.pyannote[404].end 2848.34534375
transcript.pyannote[405].speaker SPEAKER_07
transcript.pyannote[405].start 2848.61534375
transcript.pyannote[405].end 2849.54346875
transcript.pyannote[406].speaker SPEAKER_07
transcript.pyannote[406].start 2849.99909375
transcript.pyannote[406].end 2850.72471875
transcript.pyannote[407].speaker SPEAKER_07
transcript.pyannote[407].start 2850.92721875
transcript.pyannote[407].end 2851.66971875
transcript.pyannote[408].speaker SPEAKER_07
transcript.pyannote[408].start 2851.92284375
transcript.pyannote[408].end 2852.20971875
transcript.pyannote[409].speaker SPEAKER_07
transcript.pyannote[409].start 2852.36159375
transcript.pyannote[409].end 2852.80034375
transcript.pyannote[410].speaker SPEAKER_07
transcript.pyannote[410].start 2853.20534375
transcript.pyannote[410].end 2853.50909375
transcript.pyannote[411].speaker SPEAKER_07
transcript.pyannote[411].start 2854.25159375
transcript.pyannote[411].end 2855.93909375
transcript.pyannote[412].speaker SPEAKER_07
transcript.pyannote[412].start 2856.64784375
transcript.pyannote[412].end 2858.85846875
transcript.pyannote[413].speaker SPEAKER_07
transcript.pyannote[413].start 2858.99346875
transcript.pyannote[413].end 2860.25909375
transcript.pyannote[414].speaker SPEAKER_07
transcript.pyannote[414].start 2860.76534375
transcript.pyannote[414].end 2861.49096875
transcript.pyannote[415].speaker SPEAKER_07
transcript.pyannote[415].start 2861.79471875
transcript.pyannote[415].end 2862.13221875
transcript.pyannote[416].speaker SPEAKER_07
transcript.pyannote[416].start 2862.52034375
transcript.pyannote[416].end 2863.61721875
transcript.pyannote[417].speaker SPEAKER_07
transcript.pyannote[417].start 2863.95471875
transcript.pyannote[417].end 2864.30909375
transcript.pyannote[418].speaker SPEAKER_07
transcript.pyannote[418].start 2864.47784375
transcript.pyannote[418].end 2865.49034375
transcript.pyannote[419].speaker SPEAKER_07
transcript.pyannote[419].start 2865.77721875
transcript.pyannote[419].end 2866.16534375
transcript.pyannote[420].speaker SPEAKER_07
transcript.pyannote[420].start 2866.70534375
transcript.pyannote[420].end 2867.02596875
transcript.pyannote[421].speaker SPEAKER_07
transcript.pyannote[421].start 2867.93721875
transcript.pyannote[421].end 2868.25784375
transcript.pyannote[422].speaker SPEAKER_07
transcript.pyannote[422].start 2868.61221875
transcript.pyannote[422].end 2870.02971875
transcript.pyannote[423].speaker SPEAKER_07
transcript.pyannote[423].start 2870.13096875
transcript.pyannote[423].end 2870.53596875
transcript.pyannote[424].speaker SPEAKER_27
transcript.pyannote[424].start 2872.47659375
transcript.pyannote[424].end 2874.88971875
transcript.pyannote[425].speaker SPEAKER_27
transcript.pyannote[425].start 2876.89784375
transcript.pyannote[425].end 2883.17534375
transcript.pyannote[426].speaker SPEAKER_27
transcript.pyannote[426].start 2884.05284375
transcript.pyannote[426].end 2884.84596875
transcript.pyannote[427].speaker SPEAKER_27
transcript.pyannote[427].start 2885.23409375
transcript.pyannote[427].end 2886.43221875
transcript.pyannote[428].speaker SPEAKER_27
transcript.pyannote[428].start 2889.36846875
transcript.pyannote[428].end 2899.12221875
transcript.pyannote[429].speaker SPEAKER_27
transcript.pyannote[429].start 2899.20659375
transcript.pyannote[429].end 2906.02409375
transcript.pyannote[430].speaker SPEAKER_27
transcript.pyannote[430].start 2906.37846875
transcript.pyannote[430].end 2907.72846875
transcript.pyannote[431].speaker SPEAKER_27
transcript.pyannote[431].start 2908.18409375
transcript.pyannote[431].end 2913.31409375
transcript.pyannote[432].speaker SPEAKER_14
transcript.pyannote[432].start 2922.25784375
transcript.pyannote[432].end 2924.53596875
transcript.pyannote[433].speaker SPEAKER_27
transcript.pyannote[433].start 2924.89034375
transcript.pyannote[433].end 2925.80159375
transcript.pyannote[434].speaker SPEAKER_21
transcript.pyannote[434].start 2931.77534375
transcript.pyannote[434].end 2932.11284375
transcript.pyannote[435].speaker SPEAKER_14
transcript.pyannote[435].start 2932.29846875
transcript.pyannote[435].end 2933.20971875
transcript.pyannote[436].speaker SPEAKER_14
transcript.pyannote[436].start 2933.85096875
transcript.pyannote[436].end 2936.77034375
transcript.pyannote[437].speaker SPEAKER_14
transcript.pyannote[437].start 2937.29346875
transcript.pyannote[437].end 2938.99784375
transcript.pyannote[438].speaker SPEAKER_14
transcript.pyannote[438].start 2939.53784375
transcript.pyannote[438].end 2941.57971875
transcript.pyannote[439].speaker SPEAKER_14
transcript.pyannote[439].start 2942.03534375
transcript.pyannote[439].end 2961.77909375
transcript.pyannote[440].speaker SPEAKER_14
transcript.pyannote[440].start 2962.18409375
transcript.pyannote[440].end 2963.80409375
transcript.pyannote[441].speaker SPEAKER_14
transcript.pyannote[441].start 2964.27659375
transcript.pyannote[441].end 2970.13221875
transcript.pyannote[442].speaker SPEAKER_14
transcript.pyannote[442].start 2970.52034375
transcript.pyannote[442].end 2972.07284375
transcript.pyannote[443].speaker SPEAKER_14
transcript.pyannote[443].start 2972.84909375
transcript.pyannote[443].end 2974.80659375
transcript.pyannote[444].speaker SPEAKER_21
transcript.pyannote[444].start 2976.03846875
transcript.pyannote[444].end 2986.87221875
transcript.pyannote[445].speaker SPEAKER_21
transcript.pyannote[445].start 2987.34471875
transcript.pyannote[445].end 2990.53409375
transcript.pyannote[446].speaker SPEAKER_21
transcript.pyannote[446].start 2991.20909375
transcript.pyannote[446].end 3005.09721875
transcript.pyannote[447].speaker SPEAKER_20
transcript.pyannote[447].start 2998.46534375
transcript.pyannote[447].end 2998.81971875
transcript.pyannote[448].speaker SPEAKER_21
transcript.pyannote[448].start 3006.02534375
transcript.pyannote[448].end 3010.58159375
transcript.pyannote[449].speaker SPEAKER_21
transcript.pyannote[449].start 3010.76721875
transcript.pyannote[449].end 3012.33659375
transcript.pyannote[450].speaker SPEAKER_20
transcript.pyannote[450].start 3012.57284375
transcript.pyannote[450].end 3012.96096875
transcript.pyannote[451].speaker SPEAKER_21
transcript.pyannote[451].start 3012.87659375
transcript.pyannote[451].end 3014.63159375
transcript.pyannote[452].speaker SPEAKER_21
transcript.pyannote[452].start 3015.25596875
transcript.pyannote[452].end 3018.96846875
transcript.pyannote[453].speaker SPEAKER_21
transcript.pyannote[453].start 3019.27221875
transcript.pyannote[453].end 3022.41096875
transcript.pyannote[454].speaker SPEAKER_21
transcript.pyannote[454].start 3022.56284375
transcript.pyannote[454].end 3025.70159375
transcript.pyannote[455].speaker SPEAKER_21
transcript.pyannote[455].start 3025.97159375
transcript.pyannote[455].end 3036.16409375
transcript.pyannote[456].speaker SPEAKER_21
transcript.pyannote[456].start 3036.19784375
transcript.pyannote[456].end 3046.74471875
transcript.pyannote[457].speaker SPEAKER_21
transcript.pyannote[457].start 3047.09909375
transcript.pyannote[457].end 3054.13596875
transcript.pyannote[458].speaker SPEAKER_14
transcript.pyannote[458].start 3054.10221875
transcript.pyannote[458].end 3056.46471875
transcript.pyannote[459].speaker SPEAKER_21
transcript.pyannote[459].start 3056.07659375
transcript.pyannote[459].end 3058.38846875
transcript.pyannote[460].speaker SPEAKER_14
transcript.pyannote[460].start 3056.78534375
transcript.pyannote[460].end 3068.37846875
transcript.pyannote[461].speaker SPEAKER_21
transcript.pyannote[461].start 3062.62409375
transcript.pyannote[461].end 3063.24846875
transcript.pyannote[462].speaker SPEAKER_00
transcript.pyannote[462].start 3068.37846875
transcript.pyannote[462].end 3068.54721875
transcript.pyannote[463].speaker SPEAKER_14
transcript.pyannote[463].start 3068.54721875
transcript.pyannote[463].end 3073.03596875
transcript.pyannote[464].speaker SPEAKER_00
transcript.pyannote[464].start 3068.63159375
transcript.pyannote[464].end 3070.89284375
transcript.pyannote[465].speaker SPEAKER_14
transcript.pyannote[465].start 3073.40721875
transcript.pyannote[465].end 3075.21284375
transcript.pyannote[466].speaker SPEAKER_14
transcript.pyannote[466].start 3075.26346875
transcript.pyannote[466].end 3077.49096875
transcript.pyannote[467].speaker SPEAKER_14
transcript.pyannote[467].start 3078.11534375
transcript.pyannote[467].end 3080.20784375
transcript.pyannote[468].speaker SPEAKER_14
transcript.pyannote[468].start 3080.54534375
transcript.pyannote[468].end 3088.02096875
transcript.pyannote[469].speaker SPEAKER_20
transcript.pyannote[469].start 3085.84409375
transcript.pyannote[469].end 3087.61596875
transcript.pyannote[470].speaker SPEAKER_20
transcript.pyannote[470].start 3087.91971875
transcript.pyannote[470].end 3088.45971875
transcript.pyannote[471].speaker SPEAKER_14
transcript.pyannote[471].start 3088.05471875
transcript.pyannote[471].end 3088.10534375
transcript.pyannote[472].speaker SPEAKER_14
transcript.pyannote[472].start 3088.15596875
transcript.pyannote[472].end 3112.11846875
transcript.pyannote[473].speaker SPEAKER_14
transcript.pyannote[473].start 3112.59096875
transcript.pyannote[473].end 3115.00409375
transcript.pyannote[474].speaker SPEAKER_14
transcript.pyannote[474].start 3116.30346875
transcript.pyannote[474].end 3123.12096875
transcript.pyannote[475].speaker SPEAKER_20
transcript.pyannote[475].start 3122.74971875
transcript.pyannote[475].end 3123.18846875
transcript.pyannote[476].speaker SPEAKER_14
transcript.pyannote[476].start 3123.18846875
transcript.pyannote[476].end 3123.22221875
transcript.pyannote[477].speaker SPEAKER_14
transcript.pyannote[477].start 3123.25596875
transcript.pyannote[477].end 3123.27284375
transcript.pyannote[478].speaker SPEAKER_14
transcript.pyannote[478].start 3123.40784375
transcript.pyannote[478].end 3130.41096875
transcript.pyannote[479].speaker SPEAKER_14
transcript.pyannote[479].start 3131.00159375
transcript.pyannote[479].end 3187.66784375
transcript.pyannote[480].speaker SPEAKER_21
transcript.pyannote[480].start 3183.26346875
transcript.pyannote[480].end 3183.71909375
transcript.pyannote[481].speaker SPEAKER_21
transcript.pyannote[481].start 3188.02221875
transcript.pyannote[481].end 3198.21471875
transcript.pyannote[482].speaker SPEAKER_21
transcript.pyannote[482].start 3198.34971875
transcript.pyannote[482].end 3204.27284375
transcript.pyannote[483].speaker SPEAKER_14
transcript.pyannote[483].start 3204.20534375
transcript.pyannote[483].end 3205.23471875
transcript.pyannote[484].speaker SPEAKER_21
transcript.pyannote[484].start 3204.57659375
transcript.pyannote[484].end 3214.63409375
transcript.pyannote[485].speaker SPEAKER_14
transcript.pyannote[485].start 3212.89596875
transcript.pyannote[485].end 3217.77284375
transcript.pyannote[486].speaker SPEAKER_21
transcript.pyannote[486].start 3215.71409375
transcript.pyannote[486].end 3216.81096875
transcript.pyannote[487].speaker SPEAKER_21
transcript.pyannote[487].start 3217.77284375
transcript.pyannote[487].end 3219.39284375
transcript.pyannote[488].speaker SPEAKER_14
transcript.pyannote[488].start 3218.83596875
transcript.pyannote[488].end 3225.24846875
transcript.pyannote[489].speaker SPEAKER_21
transcript.pyannote[489].start 3225.06284375
transcript.pyannote[489].end 3233.48346875
transcript.pyannote[490].speaker SPEAKER_21
transcript.pyannote[490].start 3233.75346875
transcript.pyannote[490].end 3236.18346875
transcript.pyannote[491].speaker SPEAKER_21
transcript.pyannote[491].start 3236.36909375
transcript.pyannote[491].end 3243.96284375
transcript.pyannote[492].speaker SPEAKER_14
transcript.pyannote[492].start 3243.27096875
transcript.pyannote[492].end 3248.19846875
transcript.pyannote[493].speaker SPEAKER_21
transcript.pyannote[493].start 3246.30846875
transcript.pyannote[493].end 3278.74221875
transcript.pyannote[494].speaker SPEAKER_14
transcript.pyannote[494].start 3278.10096875
transcript.pyannote[494].end 3278.86034375
transcript.pyannote[495].speaker SPEAKER_14
transcript.pyannote[495].start 3278.97846875
transcript.pyannote[495].end 3283.19721875
transcript.pyannote[496].speaker SPEAKER_21
transcript.pyannote[496].start 3282.33659375
transcript.pyannote[496].end 3287.68596875
transcript.pyannote[497].speaker SPEAKER_14
transcript.pyannote[497].start 3283.24784375
transcript.pyannote[497].end 3283.43346875
transcript.pyannote[498].speaker SPEAKER_14
transcript.pyannote[498].start 3285.61034375
transcript.pyannote[498].end 3285.96471875
transcript.pyannote[499].speaker SPEAKER_14
transcript.pyannote[499].start 3286.97721875
transcript.pyannote[499].end 3287.19659375
transcript.pyannote[500].speaker SPEAKER_14
transcript.pyannote[500].start 3287.88846875
transcript.pyannote[500].end 3294.08159375
transcript.pyannote[501].speaker SPEAKER_21
transcript.pyannote[501].start 3294.67221875
transcript.pyannote[501].end 3295.49909375
transcript.pyannote[502].speaker SPEAKER_14
transcript.pyannote[502].start 3295.53284375
transcript.pyannote[502].end 3297.77721875
transcript.pyannote[503].speaker SPEAKER_14
transcript.pyannote[503].start 3298.26659375
transcript.pyannote[503].end 3300.40971875
transcript.pyannote[504].speaker SPEAKER_14
transcript.pyannote[504].start 3300.57846875
transcript.pyannote[504].end 3313.30221875
transcript.pyannote[505].speaker SPEAKER_14
transcript.pyannote[505].start 3313.99409375
transcript.pyannote[505].end 3316.28909375
transcript.pyannote[506].speaker SPEAKER_14
transcript.pyannote[506].start 3316.89659375
transcript.pyannote[506].end 3331.29096875
transcript.pyannote[507].speaker SPEAKER_14
transcript.pyannote[507].start 3331.96596875
transcript.pyannote[507].end 3332.57346875
transcript.pyannote[508].speaker SPEAKER_14
transcript.pyannote[508].start 3332.86034375
transcript.pyannote[508].end 3335.44221875
transcript.pyannote[509].speaker SPEAKER_14
transcript.pyannote[509].start 3335.98221875
transcript.pyannote[509].end 3336.96096875
transcript.pyannote[510].speaker SPEAKER_14
transcript.pyannote[510].start 3337.77096875
transcript.pyannote[510].end 3339.34034375
transcript.pyannote[511].speaker SPEAKER_14
transcript.pyannote[511].start 3339.99846875
transcript.pyannote[511].end 3345.01034375
transcript.pyannote[512].speaker SPEAKER_14
transcript.pyannote[512].start 3345.85409375
transcript.pyannote[512].end 3350.32596875
transcript.pyannote[513].speaker SPEAKER_14
transcript.pyannote[513].start 3351.03471875
transcript.pyannote[513].end 3362.96534375
transcript.pyannote[514].speaker SPEAKER_14
transcript.pyannote[514].start 3363.04971875
transcript.pyannote[514].end 3365.37846875
transcript.pyannote[515].speaker SPEAKER_14
transcript.pyannote[515].start 3366.30659375
transcript.pyannote[515].end 3366.66096875
transcript.pyannote[516].speaker SPEAKER_14
transcript.pyannote[516].start 3367.33596875
transcript.pyannote[516].end 3370.62659375
transcript.pyannote[517].speaker SPEAKER_14
transcript.pyannote[517].start 3370.98096875
transcript.pyannote[517].end 3379.75596875
transcript.pyannote[518].speaker SPEAKER_14
transcript.pyannote[518].start 3380.11034375
transcript.pyannote[518].end 3386.84346875
transcript.pyannote[519].speaker SPEAKER_14
transcript.pyannote[519].start 3387.53534375
transcript.pyannote[519].end 3390.03284375
transcript.pyannote[520].speaker SPEAKER_14
transcript.pyannote[520].start 3390.50534375
transcript.pyannote[520].end 3396.61409375
transcript.pyannote[521].speaker SPEAKER_14
transcript.pyannote[521].start 3396.95159375
transcript.pyannote[521].end 3406.95846875
transcript.pyannote[522].speaker SPEAKER_14
transcript.pyannote[522].start 3408.69659375
transcript.pyannote[522].end 3413.65784375
transcript.pyannote[523].speaker SPEAKER_14
transcript.pyannote[523].start 3414.40034375
transcript.pyannote[523].end 3415.53096875
transcript.pyannote[524].speaker SPEAKER_14
transcript.pyannote[524].start 3415.83471875
transcript.pyannote[524].end 3419.32784375
transcript.pyannote[525].speaker SPEAKER_21
transcript.pyannote[525].start 3419.76659375
transcript.pyannote[525].end 3429.95909375
transcript.pyannote[526].speaker SPEAKER_14
transcript.pyannote[526].start 3429.97596875
transcript.pyannote[526].end 3433.55346875
transcript.pyannote[527].speaker SPEAKER_14
transcript.pyannote[527].start 3433.89096875
transcript.pyannote[527].end 3444.15096875
transcript.pyannote[528].speaker SPEAKER_14
transcript.pyannote[528].start 3444.45471875
transcript.pyannote[528].end 3448.04909375
transcript.pyannote[529].speaker SPEAKER_14
transcript.pyannote[529].start 3448.06596875
transcript.pyannote[529].end 3449.92221875
transcript.pyannote[530].speaker SPEAKER_14
transcript.pyannote[530].start 3449.97284375
transcript.pyannote[530].end 3455.15346875
transcript.pyannote[531].speaker SPEAKER_14
transcript.pyannote[531].start 3455.47409375
transcript.pyannote[531].end 3462.56159375
transcript.pyannote[532].speaker SPEAKER_14
transcript.pyannote[532].start 3463.06784375
transcript.pyannote[532].end 3474.08721875
transcript.pyannote[533].speaker SPEAKER_14
transcript.pyannote[533].start 3474.13784375
transcript.pyannote[533].end 3479.03159375
transcript.pyannote[534].speaker SPEAKER_14
transcript.pyannote[534].start 3479.85846875
transcript.pyannote[534].end 3480.56721875
transcript.pyannote[535].speaker SPEAKER_14
transcript.pyannote[535].start 3480.80346875
transcript.pyannote[535].end 3483.65534375
transcript.pyannote[536].speaker SPEAKER_14
transcript.pyannote[536].start 3484.81971875
transcript.pyannote[536].end 3489.78096875
transcript.pyannote[537].speaker SPEAKER_14
transcript.pyannote[537].start 3490.18596875
transcript.pyannote[537].end 3492.02534375
transcript.pyannote[538].speaker SPEAKER_14
transcript.pyannote[538].start 3493.10534375
transcript.pyannote[538].end 3494.21909375
transcript.pyannote[539].speaker SPEAKER_14
transcript.pyannote[539].start 3495.58596875
transcript.pyannote[539].end 3506.63909375
transcript.pyannote[540].speaker SPEAKER_14
transcript.pyannote[540].start 3507.92159375
transcript.pyannote[540].end 3509.11971875
transcript.pyannote[541].speaker SPEAKER_14
transcript.pyannote[541].start 3509.25471875
transcript.pyannote[541].end 3510.87471875
transcript.pyannote[542].speaker SPEAKER_14
transcript.pyannote[542].start 3512.32596875
transcript.pyannote[542].end 3513.86159375
transcript.pyannote[543].speaker SPEAKER_14
transcript.pyannote[543].start 3514.33409375
transcript.pyannote[543].end 3515.51534375
transcript.pyannote[544].speaker SPEAKER_14
transcript.pyannote[544].start 3515.80221875
transcript.pyannote[544].end 3516.73034375
transcript.pyannote[545].speaker SPEAKER_14
transcript.pyannote[545].start 3517.08471875
transcript.pyannote[545].end 3517.94534375
transcript.pyannote[546].speaker SPEAKER_14
transcript.pyannote[546].start 3518.18159375
transcript.pyannote[546].end 3519.48096875
transcript.pyannote[547].speaker SPEAKER_14
transcript.pyannote[547].start 3520.29096875
transcript.pyannote[547].end 3522.65346875
transcript.pyannote[548].speaker SPEAKER_14
transcript.pyannote[548].start 3523.00784375
transcript.pyannote[548].end 3524.12159375
transcript.pyannote[549].speaker SPEAKER_14
transcript.pyannote[549].start 3525.94409375
transcript.pyannote[549].end 3527.26034375
transcript.pyannote[550].speaker SPEAKER_07
transcript.pyannote[550].start 3527.76659375
transcript.pyannote[550].end 3528.15471875
transcript.pyannote[551].speaker SPEAKER_14
transcript.pyannote[551].start 3528.44159375
transcript.pyannote[551].end 3530.34846875
transcript.pyannote[552].speaker SPEAKER_07
transcript.pyannote[552].start 3530.34846875
transcript.pyannote[552].end 3532.27221875
transcript.pyannote[553].speaker SPEAKER_14
transcript.pyannote[553].start 3531.25971875
transcript.pyannote[553].end 3534.93846875
transcript.pyannote[554].speaker SPEAKER_07
transcript.pyannote[554].start 3535.68096875
transcript.pyannote[554].end 3537.09846875
transcript.pyannote[555].speaker SPEAKER_07
transcript.pyannote[555].start 3537.14909375
transcript.pyannote[555].end 3537.65534375
transcript.pyannote[556].speaker SPEAKER_14
transcript.pyannote[556].start 3537.97596875
transcript.pyannote[556].end 3540.57471875
transcript.pyannote[557].speaker SPEAKER_07
transcript.pyannote[557].start 3540.57471875
transcript.pyannote[557].end 3542.02596875
transcript.pyannote[558].speaker SPEAKER_07
transcript.pyannote[558].start 3542.51534375
transcript.pyannote[558].end 3546.41346875
transcript.pyannote[559].speaker SPEAKER_07
transcript.pyannote[559].start 3546.86909375
transcript.pyannote[559].end 3547.24034375
transcript.pyannote[560].speaker SPEAKER_14
transcript.pyannote[560].start 3547.27409375
transcript.pyannote[560].end 3551.37471875
transcript.pyannote[561].speaker SPEAKER_07
transcript.pyannote[561].start 3550.34534375
transcript.pyannote[561].end 3553.39971875
transcript.pyannote[562].speaker SPEAKER_14
transcript.pyannote[562].start 3551.77971875
transcript.pyannote[562].end 3553.72034375
transcript.pyannote[563].speaker SPEAKER_14
transcript.pyannote[563].start 3554.02409375
transcript.pyannote[563].end 3558.66471875
transcript.pyannote[564].speaker SPEAKER_14
transcript.pyannote[564].start 3558.96846875
transcript.pyannote[564].end 3563.94659375
transcript.pyannote[565].speaker SPEAKER_14
transcript.pyannote[565].start 3564.26721875
transcript.pyannote[565].end 3570.57846875
transcript.pyannote[566].speaker SPEAKER_14
transcript.pyannote[566].start 3570.76409375
transcript.pyannote[566].end 3575.26971875
transcript.pyannote[567].speaker SPEAKER_14
transcript.pyannote[567].start 3576.21471875
transcript.pyannote[567].end 3577.46346875
transcript.pyannote[568].speaker SPEAKER_14
transcript.pyannote[568].start 3577.69971875
transcript.pyannote[568].end 3579.70784375
transcript.pyannote[569].speaker SPEAKER_14
transcript.pyannote[569].start 3579.94409375
transcript.pyannote[569].end 3586.54221875
transcript.pyannote[570].speaker SPEAKER_14
transcript.pyannote[570].start 3586.64346875
transcript.pyannote[570].end 3587.45346875
transcript.pyannote[571].speaker SPEAKER_07
transcript.pyannote[571].start 3587.03159375
transcript.pyannote[571].end 3587.04846875
transcript.pyannote[572].speaker SPEAKER_07
transcript.pyannote[572].start 3587.45346875
transcript.pyannote[572].end 3590.42346875
transcript.pyannote[573].speaker SPEAKER_14
transcript.pyannote[573].start 3587.79096875
transcript.pyannote[573].end 3588.19596875
transcript.pyannote[574].speaker SPEAKER_07
transcript.pyannote[574].start 3590.94659375
transcript.pyannote[574].end 3597.00471875
transcript.pyannote[575].speaker SPEAKER_07
transcript.pyannote[575].start 3597.71346875
transcript.pyannote[575].end 3599.21534375
transcript.pyannote[576].speaker SPEAKER_07
transcript.pyannote[576].start 3599.51909375
transcript.pyannote[576].end 3600.75096875
transcript.pyannote[577].speaker SPEAKER_27
transcript.pyannote[577].start 3600.75096875
transcript.pyannote[577].end 3602.37096875
transcript.pyannote[578].speaker SPEAKER_27
transcript.pyannote[578].start 3602.65784375
transcript.pyannote[578].end 3604.78409375
transcript.pyannote[579].speaker SPEAKER_07
transcript.pyannote[579].start 3605.07096875
transcript.pyannote[579].end 3605.08784375
transcript.pyannote[580].speaker SPEAKER_17
transcript.pyannote[580].start 3605.08784375
transcript.pyannote[580].end 3605.20596875
transcript.pyannote[581].speaker SPEAKER_07
transcript.pyannote[581].start 3605.20596875
transcript.pyannote[581].end 3605.22284375
transcript.pyannote[582].speaker SPEAKER_17
transcript.pyannote[582].start 3605.45909375
transcript.pyannote[582].end 3606.21846875
transcript.pyannote[583].speaker SPEAKER_27
transcript.pyannote[583].start 3606.43784375
transcript.pyannote[583].end 3607.93971875
transcript.pyannote[584].speaker SPEAKER_17
transcript.pyannote[584].start 3608.26034375
transcript.pyannote[584].end 3608.47971875
transcript.pyannote[585].speaker SPEAKER_07
transcript.pyannote[585].start 3609.18846875
transcript.pyannote[585].end 3609.25596875
transcript.pyannote[586].speaker SPEAKER_17
transcript.pyannote[586].start 3609.25596875
transcript.pyannote[586].end 3609.37409375
transcript.pyannote[587].speaker SPEAKER_27
transcript.pyannote[587].start 3610.25159375
transcript.pyannote[587].end 3612.88409375
transcript.pyannote[588].speaker SPEAKER_00
transcript.pyannote[588].start 3624.40971875
transcript.pyannote[588].end 3626.67096875
transcript.pyannote[589].speaker SPEAKER_00
transcript.pyannote[589].start 3626.87346875
transcript.pyannote[589].end 3628.18971875
transcript.pyannote[590].speaker SPEAKER_27
transcript.pyannote[590].start 3628.44284375
transcript.pyannote[590].end 3630.23159375
transcript.pyannote[591].speaker SPEAKER_00
transcript.pyannote[591].start 3632.84721875
transcript.pyannote[591].end 3633.87659375
transcript.pyannote[592].speaker SPEAKER_00
transcript.pyannote[592].start 3634.58534375
transcript.pyannote[592].end 3635.61471875
transcript.pyannote[593].speaker SPEAKER_00
transcript.pyannote[593].start 3635.74971875
transcript.pyannote[593].end 3636.84659375
transcript.pyannote[594].speaker SPEAKER_00
transcript.pyannote[594].start 3637.08284375
transcript.pyannote[594].end 3638.88846875
transcript.pyannote[595].speaker SPEAKER_00
transcript.pyannote[595].start 3639.29346875
transcript.pyannote[595].end 3646.60034375
transcript.pyannote[596].speaker SPEAKER_00
transcript.pyannote[596].start 3647.07284375
transcript.pyannote[596].end 3675.97971875
transcript.pyannote[597].speaker SPEAKER_00
transcript.pyannote[597].start 3676.30034375
transcript.pyannote[597].end 3677.70096875
transcript.pyannote[598].speaker SPEAKER_00
transcript.pyannote[598].start 3678.62909375
transcript.pyannote[598].end 3679.18596875
transcript.pyannote[599].speaker SPEAKER_00
transcript.pyannote[599].start 3679.60784375
transcript.pyannote[599].end 3680.48534375
transcript.pyannote[600].speaker SPEAKER_00
transcript.pyannote[600].start 3680.87346875
transcript.pyannote[600].end 3681.37971875
transcript.pyannote[601].speaker SPEAKER_00
transcript.pyannote[601].start 3681.66659375
transcript.pyannote[601].end 3682.78034375
transcript.pyannote[602].speaker SPEAKER_00
transcript.pyannote[602].start 3682.89846875
transcript.pyannote[602].end 3686.62784375
transcript.pyannote[603].speaker SPEAKER_00
transcript.pyannote[603].start 3687.21846875
transcript.pyannote[603].end 3690.10409375
transcript.pyannote[604].speaker SPEAKER_00
transcript.pyannote[604].start 3691.53846875
transcript.pyannote[604].end 3692.24721875
transcript.pyannote[605].speaker SPEAKER_21
transcript.pyannote[605].start 3692.24721875
transcript.pyannote[605].end 3696.92159375
transcript.pyannote[606].speaker SPEAKER_21
transcript.pyannote[606].start 3697.49534375
transcript.pyannote[606].end 3698.57534375
transcript.pyannote[607].speaker SPEAKER_21
transcript.pyannote[607].start 3699.06471875
transcript.pyannote[607].end 3702.52409375
transcript.pyannote[608].speaker SPEAKER_21
transcript.pyannote[608].start 3702.64221875
transcript.pyannote[608].end 3719.68596875
transcript.pyannote[609].speaker SPEAKER_21
transcript.pyannote[609].start 3720.00659375
transcript.pyannote[609].end 3720.07409375
transcript.pyannote[610].speaker SPEAKER_21
transcript.pyannote[610].start 3720.29346875
transcript.pyannote[610].end 3731.51534375
transcript.pyannote[611].speaker SPEAKER_21
transcript.pyannote[611].start 3731.97096875
transcript.pyannote[611].end 3735.64971875
transcript.pyannote[612].speaker SPEAKER_21
transcript.pyannote[612].start 3736.00409375
transcript.pyannote[612].end 3754.93784375
transcript.pyannote[613].speaker SPEAKER_21
transcript.pyannote[613].start 3755.17409375
transcript.pyannote[613].end 3755.81534375
transcript.pyannote[614].speaker SPEAKER_21
transcript.pyannote[614].start 3756.03471875
transcript.pyannote[614].end 3760.25346875
transcript.pyannote[615].speaker SPEAKER_21
transcript.pyannote[615].start 3760.40534375
transcript.pyannote[615].end 3774.68159375
transcript.pyannote[616].speaker SPEAKER_00
transcript.pyannote[616].start 3774.58034375
transcript.pyannote[616].end 3775.30596875
transcript.pyannote[617].speaker SPEAKER_00
transcript.pyannote[617].start 3775.71096875
transcript.pyannote[617].end 3777.19596875
transcript.pyannote[618].speaker SPEAKER_00
transcript.pyannote[618].start 3777.85409375
transcript.pyannote[618].end 3778.69784375
transcript.pyannote[619].speaker SPEAKER_00
transcript.pyannote[619].start 3779.06909375
transcript.pyannote[619].end 3781.71846875
transcript.pyannote[620].speaker SPEAKER_00
transcript.pyannote[620].start 3781.97159375
transcript.pyannote[620].end 3787.16909375
transcript.pyannote[621].speaker SPEAKER_00
transcript.pyannote[621].start 3787.38846875
transcript.pyannote[621].end 3800.90534375
transcript.pyannote[622].speaker SPEAKER_23
transcript.pyannote[622].start 3799.72409375
transcript.pyannote[622].end 3800.01096875
transcript.pyannote[623].speaker SPEAKER_00
transcript.pyannote[623].start 3801.20909375
transcript.pyannote[623].end 3802.60971875
transcript.pyannote[624].speaker SPEAKER_00
transcript.pyannote[624].start 3802.91346875
transcript.pyannote[624].end 3814.84409375
transcript.pyannote[625].speaker SPEAKER_21
transcript.pyannote[625].start 3805.20846875
transcript.pyannote[625].end 3805.64721875
transcript.pyannote[626].speaker SPEAKER_24
transcript.pyannote[626].start 3805.64721875
transcript.pyannote[626].end 3805.66409375
transcript.pyannote[627].speaker SPEAKER_21
transcript.pyannote[627].start 3805.66409375
transcript.pyannote[627].end 3805.69784375
transcript.pyannote[628].speaker SPEAKER_24
transcript.pyannote[628].start 3805.69784375
transcript.pyannote[628].end 3805.71471875
transcript.pyannote[629].speaker SPEAKER_21
transcript.pyannote[629].start 3814.92846875
transcript.pyannote[629].end 3818.59034375
transcript.pyannote[630].speaker SPEAKER_21
transcript.pyannote[630].start 3818.77596875
transcript.pyannote[630].end 3819.88971875
transcript.pyannote[631].speaker SPEAKER_00
transcript.pyannote[631].start 3819.29909375
transcript.pyannote[631].end 3821.10471875
transcript.pyannote[632].speaker SPEAKER_21
transcript.pyannote[632].start 3821.10471875
transcript.pyannote[632].end 3821.45909375
transcript.pyannote[633].speaker SPEAKER_00
transcript.pyannote[633].start 3821.45909375
transcript.pyannote[633].end 3824.37846875
transcript.pyannote[634].speaker SPEAKER_00
transcript.pyannote[634].start 3825.12096875
transcript.pyannote[634].end 3827.07846875
transcript.pyannote[635].speaker SPEAKER_00
transcript.pyannote[635].start 3827.44971875
transcript.pyannote[635].end 3831.26346875
transcript.pyannote[636].speaker SPEAKER_00
transcript.pyannote[636].start 3831.98909375
transcript.pyannote[636].end 3836.15721875
transcript.pyannote[637].speaker SPEAKER_00
transcript.pyannote[637].start 3836.47784375
transcript.pyannote[637].end 3838.03034375
transcript.pyannote[638].speaker SPEAKER_00
transcript.pyannote[638].start 3838.38471875
transcript.pyannote[638].end 3841.54034375
transcript.pyannote[639].speaker SPEAKER_00
transcript.pyannote[639].start 3842.13096875
transcript.pyannote[639].end 3844.91534375
transcript.pyannote[640].speaker SPEAKER_00
transcript.pyannote[640].start 3845.37096875
transcript.pyannote[640].end 3862.06034375
transcript.pyannote[641].speaker SPEAKER_00
transcript.pyannote[641].start 3862.27971875
transcript.pyannote[641].end 3863.17409375
transcript.pyannote[642].speaker SPEAKER_00
transcript.pyannote[642].start 3863.93346875
transcript.pyannote[642].end 3864.40596875
transcript.pyannote[643].speaker SPEAKER_00
transcript.pyannote[643].start 3865.36784375
transcript.pyannote[643].end 3866.44784375
transcript.pyannote[644].speaker SPEAKER_00
transcript.pyannote[644].start 3866.63346875
transcript.pyannote[644].end 3868.27034375
transcript.pyannote[645].speaker SPEAKER_00
transcript.pyannote[645].start 3868.42221875
transcript.pyannote[645].end 3871.88159375
transcript.pyannote[646].speaker SPEAKER_00
transcript.pyannote[646].start 3872.40471875
transcript.pyannote[646].end 3880.65659375
transcript.pyannote[647].speaker SPEAKER_00
transcript.pyannote[647].start 3880.77471875
transcript.pyannote[647].end 3890.91659375
transcript.pyannote[648].speaker SPEAKER_00
transcript.pyannote[648].start 3891.32159375
transcript.pyannote[648].end 3894.10596875
transcript.pyannote[649].speaker SPEAKER_00
transcript.pyannote[649].start 3894.12284375
transcript.pyannote[649].end 3894.15659375
transcript.pyannote[650].speaker SPEAKER_00
transcript.pyannote[650].start 3894.19034375
transcript.pyannote[650].end 3896.50221875
transcript.pyannote[651].speaker SPEAKER_00
transcript.pyannote[651].start 3897.05909375
transcript.pyannote[651].end 3898.84784375
transcript.pyannote[652].speaker SPEAKER_00
transcript.pyannote[652].start 3899.10096875
transcript.pyannote[652].end 3900.61971875
transcript.pyannote[653].speaker SPEAKER_00
transcript.pyannote[653].start 3900.90659375
transcript.pyannote[653].end 3902.50971875
transcript.pyannote[654].speaker SPEAKER_00
transcript.pyannote[654].start 3903.03284375
transcript.pyannote[654].end 3904.02846875
transcript.pyannote[655].speaker SPEAKER_00
transcript.pyannote[655].start 3904.07909375
transcript.pyannote[655].end 3905.73284375
transcript.pyannote[656].speaker SPEAKER_00
transcript.pyannote[656].start 3906.93096875
transcript.pyannote[656].end 3909.15846875
transcript.pyannote[657].speaker SPEAKER_00
transcript.pyannote[657].start 3909.76596875
transcript.pyannote[657].end 3910.99784375
transcript.pyannote[658].speaker SPEAKER_00
transcript.pyannote[658].start 3911.53784375
transcript.pyannote[658].end 3921.51096875
transcript.pyannote[659].speaker SPEAKER_00
transcript.pyannote[659].start 3922.18596875
transcript.pyannote[659].end 3936.52971875
transcript.pyannote[660].speaker SPEAKER_21
transcript.pyannote[660].start 3936.74909375
transcript.pyannote[660].end 3941.37284375
transcript.pyannote[661].speaker SPEAKER_21
transcript.pyannote[661].start 3942.26721875
transcript.pyannote[661].end 3946.67159375
transcript.pyannote[662].speaker SPEAKER_21
transcript.pyannote[662].start 3946.97534375
transcript.pyannote[662].end 3957.62346875
transcript.pyannote[663].speaker SPEAKER_00
transcript.pyannote[663].start 3957.37034375
transcript.pyannote[663].end 3960.61034375
transcript.pyannote[664].speaker SPEAKER_00
transcript.pyannote[664].start 3960.94784375
transcript.pyannote[664].end 3975.94971875
transcript.pyannote[665].speaker SPEAKER_21
transcript.pyannote[665].start 3975.49409375
transcript.pyannote[665].end 3983.98221875
transcript.pyannote[666].speaker SPEAKER_00
transcript.pyannote[666].start 3984.55596875
transcript.pyannote[666].end 3998.03909375
transcript.pyannote[667].speaker SPEAKER_00
transcript.pyannote[667].start 3998.30909375
transcript.pyannote[667].end 4001.56596875
transcript.pyannote[668].speaker SPEAKER_00
transcript.pyannote[668].start 4002.03846875
transcript.pyannote[668].end 4005.83534375
transcript.pyannote[669].speaker SPEAKER_00
transcript.pyannote[669].start 4006.34159375
transcript.pyannote[669].end 4011.11721875
transcript.pyannote[670].speaker SPEAKER_00
transcript.pyannote[670].start 4011.99471875
transcript.pyannote[670].end 4015.62284375
transcript.pyannote[671].speaker SPEAKER_00
transcript.pyannote[671].start 4016.31471875
transcript.pyannote[671].end 4019.36909375
transcript.pyannote[672].speaker SPEAKER_00
transcript.pyannote[672].start 4020.16221875
transcript.pyannote[672].end 4020.61784375
transcript.pyannote[673].speaker SPEAKER_00
transcript.pyannote[673].start 4020.76971875
transcript.pyannote[673].end 4022.33909375
transcript.pyannote[674].speaker SPEAKER_00
transcript.pyannote[674].start 4022.86221875
transcript.pyannote[674].end 4025.20784375
transcript.pyannote[675].speaker SPEAKER_00
transcript.pyannote[675].start 4025.73096875
transcript.pyannote[675].end 4034.74221875
transcript.pyannote[676].speaker SPEAKER_21
transcript.pyannote[676].start 4034.74221875
transcript.pyannote[676].end 4041.84659375
transcript.pyannote[677].speaker SPEAKER_21
transcript.pyannote[677].start 4042.23471875
transcript.pyannote[677].end 4054.95846875
transcript.pyannote[678].speaker SPEAKER_00
transcript.pyannote[678].start 4054.95846875
transcript.pyannote[678].end 4057.87784375
transcript.pyannote[679].speaker SPEAKER_00
transcript.pyannote[679].start 4058.35034375
transcript.pyannote[679].end 4058.99159375
transcript.pyannote[680].speaker SPEAKER_00
transcript.pyannote[680].start 4059.34596875
transcript.pyannote[680].end 4061.87721875
transcript.pyannote[681].speaker SPEAKER_00
transcript.pyannote[681].start 4062.13034375
transcript.pyannote[681].end 4063.88534375
transcript.pyannote[682].speaker SPEAKER_00
transcript.pyannote[682].start 4064.50971875
transcript.pyannote[682].end 4065.30284375
transcript.pyannote[683].speaker SPEAKER_00
transcript.pyannote[683].start 4066.55159375
transcript.pyannote[683].end 4068.03659375
transcript.pyannote[684].speaker SPEAKER_00
transcript.pyannote[684].start 4068.27284375
transcript.pyannote[684].end 4076.10284375
transcript.pyannote[685].speaker SPEAKER_00
transcript.pyannote[685].start 4077.26721875
transcript.pyannote[685].end 4078.76909375
transcript.pyannote[686].speaker SPEAKER_00
transcript.pyannote[686].start 4081.78971875
transcript.pyannote[686].end 4084.18596875
transcript.pyannote[687].speaker SPEAKER_00
transcript.pyannote[687].start 4084.57409375
transcript.pyannote[687].end 4087.67909375
transcript.pyannote[688].speaker SPEAKER_00
transcript.pyannote[688].start 4088.21909375
transcript.pyannote[688].end 4090.02471875
transcript.pyannote[689].speaker SPEAKER_00
transcript.pyannote[689].start 4090.56471875
transcript.pyannote[689].end 4095.40784375
transcript.pyannote[690].speaker SPEAKER_00
transcript.pyannote[690].start 4095.89721875
transcript.pyannote[690].end 4097.38221875
transcript.pyannote[691].speaker SPEAKER_00
transcript.pyannote[691].start 4097.73659375
transcript.pyannote[691].end 4101.60096875
transcript.pyannote[692].speaker SPEAKER_00
transcript.pyannote[692].start 4102.00596875
transcript.pyannote[692].end 4119.10034375
transcript.pyannote[693].speaker SPEAKER_00
transcript.pyannote[693].start 4119.79221875
transcript.pyannote[693].end 4120.31534375
transcript.pyannote[694].speaker SPEAKER_00
transcript.pyannote[694].start 4120.97346875
transcript.pyannote[694].end 4121.56409375
transcript.pyannote[695].speaker SPEAKER_00
transcript.pyannote[695].start 4121.86784375
transcript.pyannote[695].end 4123.52159375
transcript.pyannote[696].speaker SPEAKER_00
transcript.pyannote[696].start 4123.80846875
transcript.pyannote[696].end 4145.34096875
transcript.pyannote[697].speaker SPEAKER_00
transcript.pyannote[697].start 4145.79659375
transcript.pyannote[697].end 4149.49221875
transcript.pyannote[698].speaker SPEAKER_07
transcript.pyannote[698].start 4149.84659375
transcript.pyannote[698].end 4150.57221875
transcript.pyannote[699].speaker SPEAKER_00
transcript.pyannote[699].start 4150.52159375
transcript.pyannote[699].end 4152.09096875
transcript.pyannote[700].speaker SPEAKER_00
transcript.pyannote[700].start 4152.61409375
transcript.pyannote[700].end 4154.23409375
transcript.pyannote[701].speaker SPEAKER_00
transcript.pyannote[701].start 4154.58846875
transcript.pyannote[701].end 4155.26346875
transcript.pyannote[702].speaker SPEAKER_07
transcript.pyannote[702].start 4154.67284375
transcript.pyannote[702].end 4159.65096875
transcript.pyannote[703].speaker SPEAKER_00
transcript.pyannote[703].start 4155.88784375
transcript.pyannote[703].end 4156.29284375
transcript.pyannote[704].speaker SPEAKER_07
transcript.pyannote[704].start 4159.78596875
transcript.pyannote[704].end 4164.79784375
transcript.pyannote[705].speaker SPEAKER_00
transcript.pyannote[705].start 4162.23284375
transcript.pyannote[705].end 4162.36784375
transcript.pyannote[706].speaker SPEAKER_00
transcript.pyannote[706].start 4162.45221875
transcript.pyannote[706].end 4174.53471875
transcript.pyannote[707].speaker SPEAKER_00
transcript.pyannote[707].start 4175.20971875
transcript.pyannote[707].end 4175.98596875
transcript.pyannote[708].speaker SPEAKER_00
transcript.pyannote[708].start 4176.52596875
transcript.pyannote[708].end 4179.71534375
transcript.pyannote[709].speaker SPEAKER_00
transcript.pyannote[709].start 4180.45784375
transcript.pyannote[709].end 4181.36909375
transcript.pyannote[710].speaker SPEAKER_00
transcript.pyannote[710].start 4182.21284375
transcript.pyannote[710].end 4183.03971875
transcript.pyannote[711].speaker SPEAKER_20
transcript.pyannote[711].start 4183.03971875
transcript.pyannote[711].end 4183.36034375
transcript.pyannote[712].speaker SPEAKER_00
transcript.pyannote[712].start 4183.52909375
transcript.pyannote[712].end 4185.45284375
transcript.pyannote[713].speaker SPEAKER_20
transcript.pyannote[713].start 4185.77346875
transcript.pyannote[713].end 4186.02659375
transcript.pyannote[714].speaker SPEAKER_00
transcript.pyannote[714].start 4186.34721875
transcript.pyannote[714].end 4188.57471875
transcript.pyannote[715].speaker SPEAKER_20
transcript.pyannote[715].start 4189.01346875
transcript.pyannote[715].end 4189.04721875
transcript.pyannote[716].speaker SPEAKER_00
transcript.pyannote[716].start 4189.04721875
transcript.pyannote[716].end 4195.05471875
transcript.pyannote[717].speaker SPEAKER_00
transcript.pyannote[717].start 4195.13909375
transcript.pyannote[717].end 4195.86471875
transcript.pyannote[718].speaker SPEAKER_00
transcript.pyannote[718].start 4196.64096875
transcript.pyannote[718].end 4197.40034375
transcript.pyannote[719].speaker SPEAKER_00
transcript.pyannote[719].start 4197.56909375
transcript.pyannote[719].end 4212.52034375
transcript.pyannote[720].speaker SPEAKER_00
transcript.pyannote[720].start 4212.75659375
transcript.pyannote[720].end 4213.61721875
transcript.pyannote[721].speaker SPEAKER_00
transcript.pyannote[721].start 4214.42721875
transcript.pyannote[721].end 4216.84034375
transcript.pyannote[722].speaker SPEAKER_00
transcript.pyannote[722].start 4217.73471875
transcript.pyannote[722].end 4218.67971875
transcript.pyannote[723].speaker SPEAKER_00
transcript.pyannote[723].start 4219.10159375
transcript.pyannote[723].end 4222.32471875
transcript.pyannote[724].speaker SPEAKER_00
transcript.pyannote[724].start 4222.67909375
transcript.pyannote[724].end 4231.70721875
transcript.pyannote[725].speaker SPEAKER_00
transcript.pyannote[725].start 4232.55096875
transcript.pyannote[725].end 4233.36096875
transcript.pyannote[726].speaker SPEAKER_00
transcript.pyannote[726].start 4233.93471875
transcript.pyannote[726].end 4234.72784375
transcript.pyannote[727].speaker SPEAKER_00
transcript.pyannote[727].start 4235.67284375
transcript.pyannote[727].end 4237.24221875
transcript.pyannote[728].speaker SPEAKER_00
transcript.pyannote[728].start 4237.84971875
transcript.pyannote[728].end 4244.09346875
transcript.pyannote[729].speaker SPEAKER_00
transcript.pyannote[729].start 4244.76846875
transcript.pyannote[729].end 4249.83096875
transcript.pyannote[730].speaker SPEAKER_00
transcript.pyannote[730].start 4250.30346875
transcript.pyannote[730].end 4251.36659375
transcript.pyannote[731].speaker SPEAKER_07
transcript.pyannote[731].start 4251.46784375
transcript.pyannote[731].end 4252.00784375
transcript.pyannote[732].speaker SPEAKER_00
transcript.pyannote[732].start 4251.97409375
transcript.pyannote[732].end 4269.52409375
transcript.pyannote[733].speaker SPEAKER_07
transcript.pyannote[733].start 4254.62346875
transcript.pyannote[733].end 4254.72471875
transcript.pyannote[734].speaker SPEAKER_00
transcript.pyannote[734].start 4269.72659375
transcript.pyannote[734].end 4272.37596875
transcript.pyannote[735].speaker SPEAKER_07
transcript.pyannote[735].start 4272.59534375
transcript.pyannote[735].end 4276.64534375
transcript.pyannote[736].speaker SPEAKER_00
transcript.pyannote[736].start 4274.35034375
transcript.pyannote[736].end 4276.24034375
transcript.pyannote[737].speaker SPEAKER_27
transcript.pyannote[737].start 4276.64534375
transcript.pyannote[737].end 4278.60284375
transcript.pyannote[738].speaker SPEAKER_27
transcript.pyannote[738].start 4278.90659375
transcript.pyannote[738].end 4279.26096875
transcript.pyannote[739].speaker SPEAKER_27
transcript.pyannote[739].start 4281.52221875
transcript.pyannote[739].end 4284.25596875
transcript.pyannote[740].speaker SPEAKER_02
transcript.pyannote[740].start 4292.94659375
transcript.pyannote[740].end 4297.60409375
transcript.pyannote[741].speaker SPEAKER_02
transcript.pyannote[741].start 4297.87409375
transcript.pyannote[741].end 4298.14409375
transcript.pyannote[742].speaker SPEAKER_02
transcript.pyannote[742].start 4299.10596875
transcript.pyannote[742].end 4300.52346875
transcript.pyannote[743].speaker SPEAKER_02
transcript.pyannote[743].start 4303.69596875
transcript.pyannote[743].end 4304.23596875
transcript.pyannote[744].speaker SPEAKER_02
transcript.pyannote[744].start 4304.59034375
transcript.pyannote[744].end 4305.77159375
transcript.pyannote[745].speaker SPEAKER_02
transcript.pyannote[745].start 4306.22721875
transcript.pyannote[745].end 4309.12971875
transcript.pyannote[746].speaker SPEAKER_02
transcript.pyannote[746].start 4309.33221875
transcript.pyannote[746].end 4329.70034375
transcript.pyannote[747].speaker SPEAKER_07
transcript.pyannote[747].start 4330.20659375
transcript.pyannote[747].end 4330.54409375
transcript.pyannote[748].speaker SPEAKER_07
transcript.pyannote[748].start 4330.64534375
transcript.pyannote[748].end 4332.92346875
transcript.pyannote[749].speaker SPEAKER_02
transcript.pyannote[749].start 4332.92346875
transcript.pyannote[749].end 4336.16346875
transcript.pyannote[750].speaker SPEAKER_07
transcript.pyannote[750].start 4333.54784375
transcript.pyannote[750].end 4334.18909375
transcript.pyannote[751].speaker SPEAKER_02
transcript.pyannote[751].start 4336.28159375
transcript.pyannote[751].end 4340.06159375
transcript.pyannote[752].speaker SPEAKER_02
transcript.pyannote[752].start 4341.52971875
transcript.pyannote[752].end 4351.78971875
transcript.pyannote[753].speaker SPEAKER_07
transcript.pyannote[753].start 4351.41846875
transcript.pyannote[753].end 4360.64909375
transcript.pyannote[754].speaker SPEAKER_07
transcript.pyannote[754].start 4360.88534375
transcript.pyannote[754].end 4364.98596875
transcript.pyannote[755].speaker SPEAKER_07
transcript.pyannote[755].start 4365.55971875
transcript.pyannote[755].end 4368.56346875
transcript.pyannote[756].speaker SPEAKER_02
transcript.pyannote[756].start 4367.26409375
transcript.pyannote[756].end 4378.28346875
transcript.pyannote[757].speaker SPEAKER_02
transcript.pyannote[757].start 4378.67159375
transcript.pyannote[757].end 4388.12159375
transcript.pyannote[758].speaker SPEAKER_02
transcript.pyannote[758].start 4388.39159375
transcript.pyannote[758].end 4390.61909375
transcript.pyannote[759].speaker SPEAKER_02
transcript.pyannote[759].start 4390.90596875
transcript.pyannote[759].end 4395.20909375
transcript.pyannote[760].speaker SPEAKER_02
transcript.pyannote[760].start 4395.29346875
transcript.pyannote[760].end 4402.95471875
transcript.pyannote[761].speaker SPEAKER_02
transcript.pyannote[761].start 4403.29221875
transcript.pyannote[761].end 4408.30409375
transcript.pyannote[762].speaker SPEAKER_07
transcript.pyannote[762].start 4406.70096875
transcript.pyannote[762].end 4417.68659375
transcript.pyannote[763].speaker SPEAKER_07
transcript.pyannote[763].start 4418.04096875
transcript.pyannote[763].end 4419.22221875
transcript.pyannote[764].speaker SPEAKER_07
transcript.pyannote[764].start 4419.57659375
transcript.pyannote[764].end 4424.03159375
transcript.pyannote[765].speaker SPEAKER_07
transcript.pyannote[765].start 4424.55471875
transcript.pyannote[765].end 4427.10284375
transcript.pyannote[766].speaker SPEAKER_07
transcript.pyannote[766].start 4427.17034375
transcript.pyannote[766].end 4427.55846875
transcript.pyannote[767].speaker SPEAKER_07
transcript.pyannote[767].start 4427.99721875
transcript.pyannote[767].end 4431.06846875
transcript.pyannote[768].speaker SPEAKER_02
transcript.pyannote[768].start 4430.44409375
transcript.pyannote[768].end 4432.75596875
transcript.pyannote[769].speaker SPEAKER_07
transcript.pyannote[769].start 4431.97971875
transcript.pyannote[769].end 4435.81034375
transcript.pyannote[770].speaker SPEAKER_07
transcript.pyannote[770].start 4435.91159375
transcript.pyannote[770].end 4439.60721875
transcript.pyannote[771].speaker SPEAKER_02
transcript.pyannote[771].start 4438.99971875
transcript.pyannote[771].end 4466.53971875
transcript.pyannote[772].speaker SPEAKER_07
transcript.pyannote[772].start 4466.70846875
transcript.pyannote[772].end 4466.96159375
transcript.pyannote[773].speaker SPEAKER_07
transcript.pyannote[773].start 4467.26534375
transcript.pyannote[773].end 4467.60284375
transcript.pyannote[774].speaker SPEAKER_07
transcript.pyannote[774].start 4467.65346875
transcript.pyannote[774].end 4467.78846875
transcript.pyannote[775].speaker SPEAKER_07
transcript.pyannote[775].start 4468.44659375
transcript.pyannote[775].end 4470.21846875
transcript.pyannote[776].speaker SPEAKER_07
transcript.pyannote[776].start 4470.45471875
transcript.pyannote[776].end 4471.78784375
transcript.pyannote[777].speaker SPEAKER_07
transcript.pyannote[777].start 4471.95659375
transcript.pyannote[777].end 4472.53034375
transcript.pyannote[778].speaker SPEAKER_07
transcript.pyannote[778].start 4473.55971875
transcript.pyannote[778].end 4479.33096875
transcript.pyannote[779].speaker SPEAKER_07
transcript.pyannote[779].start 4479.56721875
transcript.pyannote[779].end 4481.47409375
transcript.pyannote[780].speaker SPEAKER_07
transcript.pyannote[780].start 4481.76096875
transcript.pyannote[780].end 4482.21659375
transcript.pyannote[781].speaker SPEAKER_07
transcript.pyannote[781].start 4482.75659375
transcript.pyannote[781].end 4483.27971875
transcript.pyannote[782].speaker SPEAKER_07
transcript.pyannote[782].start 4483.81971875
transcript.pyannote[782].end 4484.34284375
transcript.pyannote[783].speaker SPEAKER_07
transcript.pyannote[783].start 4485.72659375
transcript.pyannote[783].end 4487.00909375
transcript.pyannote[784].speaker SPEAKER_07
transcript.pyannote[784].start 4487.51534375
transcript.pyannote[784].end 4487.85284375
transcript.pyannote[785].speaker SPEAKER_07
transcript.pyannote[785].start 4488.07221875
transcript.pyannote[785].end 4490.40096875
transcript.pyannote[786].speaker SPEAKER_07
transcript.pyannote[786].start 4490.77221875
transcript.pyannote[786].end 4492.37534375
transcript.pyannote[787].speaker SPEAKER_07
transcript.pyannote[787].start 4492.81409375
transcript.pyannote[787].end 4493.25284375
transcript.pyannote[788].speaker SPEAKER_02
transcript.pyannote[788].start 4493.25284375
transcript.pyannote[788].end 4503.90096875
transcript.pyannote[789].speaker SPEAKER_02
transcript.pyannote[789].start 4504.01909375
transcript.pyannote[789].end 4504.03596875
transcript.pyannote[790].speaker SPEAKER_02
transcript.pyannote[790].start 4504.05284375
transcript.pyannote[790].end 4505.82471875
transcript.pyannote[791].speaker SPEAKER_02
transcript.pyannote[791].start 4506.02721875
transcript.pyannote[791].end 4507.83284375
transcript.pyannote[792].speaker SPEAKER_02
transcript.pyannote[792].start 4514.80221875
transcript.pyannote[792].end 4521.14721875
transcript.pyannote[793].speaker SPEAKER_02
transcript.pyannote[793].start 4521.82221875
transcript.pyannote[793].end 4525.75409375
transcript.pyannote[794].speaker SPEAKER_02
transcript.pyannote[794].start 4525.78784375
transcript.pyannote[794].end 4534.32659375
transcript.pyannote[795].speaker SPEAKER_02
transcript.pyannote[795].start 4534.93409375
transcript.pyannote[795].end 4535.28846875
transcript.pyannote[796].speaker SPEAKER_02
transcript.pyannote[796].start 4535.71034375
transcript.pyannote[796].end 4538.78159375
transcript.pyannote[797].speaker SPEAKER_02
transcript.pyannote[797].start 4539.10221875
transcript.pyannote[797].end 4547.70846875
transcript.pyannote[798].speaker SPEAKER_02
transcript.pyannote[798].start 4548.02909375
transcript.pyannote[798].end 4559.55471875
transcript.pyannote[799].speaker SPEAKER_02
transcript.pyannote[799].start 4559.99346875
transcript.pyannote[799].end 4560.01034375
transcript.pyannote[800].speaker SPEAKER_21
transcript.pyannote[800].start 4560.01034375
transcript.pyannote[800].end 4564.36409375
transcript.pyannote[801].speaker SPEAKER_21
transcript.pyannote[801].start 4564.93784375
transcript.pyannote[801].end 4567.24971875
transcript.pyannote[802].speaker SPEAKER_20
transcript.pyannote[802].start 4567.46909375
transcript.pyannote[802].end 4567.85721875
transcript.pyannote[803].speaker SPEAKER_21
transcript.pyannote[803].start 4567.97534375
transcript.pyannote[803].end 4571.87346875
transcript.pyannote[804].speaker SPEAKER_21
transcript.pyannote[804].start 4572.27846875
transcript.pyannote[804].end 4582.25159375
transcript.pyannote[805].speaker SPEAKER_02
transcript.pyannote[805].start 4581.44159375
transcript.pyannote[805].end 4615.56284375
transcript.pyannote[806].speaker SPEAKER_02
transcript.pyannote[806].start 4615.96784375
transcript.pyannote[806].end 4654.78034375
transcript.pyannote[807].speaker SPEAKER_02
transcript.pyannote[807].start 4654.98284375
transcript.pyannote[807].end 4686.53909375
transcript.pyannote[808].speaker SPEAKER_02
transcript.pyannote[808].start 4687.29846875
transcript.pyannote[808].end 4711.93596875
transcript.pyannote[809].speaker SPEAKER_02
transcript.pyannote[809].start 4711.98659375
transcript.pyannote[809].end 4723.25909375
transcript.pyannote[810].speaker SPEAKER_02
transcript.pyannote[810].start 4723.54596875
transcript.pyannote[810].end 4738.12596875
transcript.pyannote[811].speaker SPEAKER_21
transcript.pyannote[811].start 4736.26971875
transcript.pyannote[811].end 4737.65346875
transcript.pyannote[812].speaker SPEAKER_21
transcript.pyannote[812].start 4738.29471875
transcript.pyannote[812].end 4766.96534375
transcript.pyannote[813].speaker SPEAKER_02
transcript.pyannote[813].start 4747.37346875
transcript.pyannote[813].end 4747.86284375
transcript.pyannote[814].speaker SPEAKER_02
transcript.pyannote[814].start 4749.70221875
transcript.pyannote[814].end 4754.34284375
transcript.pyannote[815].speaker SPEAKER_20
transcript.pyannote[815].start 4766.96534375
transcript.pyannote[815].end 4767.37034375
transcript.pyannote[816].speaker SPEAKER_21
transcript.pyannote[816].start 4767.21846875
transcript.pyannote[816].end 4772.83784375
transcript.pyannote[817].speaker SPEAKER_21
transcript.pyannote[817].start 4773.04034375
transcript.pyannote[817].end 4779.38534375
transcript.pyannote[818].speaker SPEAKER_20
transcript.pyannote[818].start 4773.12471875
transcript.pyannote[818].end 4773.56346875
transcript.pyannote[819].speaker SPEAKER_02
transcript.pyannote[819].start 4775.89221875
transcript.pyannote[819].end 4782.45659375
transcript.pyannote[820].speaker SPEAKER_02
transcript.pyannote[820].start 4782.86159375
transcript.pyannote[820].end 4785.94971875
transcript.pyannote[821].speaker SPEAKER_21
transcript.pyannote[821].start 4784.02596875
transcript.pyannote[821].end 4794.47159375
transcript.pyannote[822].speaker SPEAKER_02
transcript.pyannote[822].start 4793.72909375
transcript.pyannote[822].end 4818.51846875
transcript.pyannote[823].speaker SPEAKER_02
transcript.pyannote[823].start 4818.75471875
transcript.pyannote[823].end 4819.73346875
transcript.pyannote[824].speaker SPEAKER_02
transcript.pyannote[824].start 4820.56034375
transcript.pyannote[824].end 4837.38471875
transcript.pyannote[825].speaker SPEAKER_21
transcript.pyannote[825].start 4836.96284375
transcript.pyannote[825].end 4838.98784375
transcript.pyannote[826].speaker SPEAKER_21
transcript.pyannote[826].start 4839.34221875
transcript.pyannote[826].end 4843.74659375
transcript.pyannote[827].speaker SPEAKER_21
transcript.pyannote[827].start 4843.96596875
transcript.pyannote[827].end 4845.63659375
transcript.pyannote[828].speaker SPEAKER_21
transcript.pyannote[828].start 4845.92346875
transcript.pyannote[828].end 4849.46721875
transcript.pyannote[829].speaker SPEAKER_20
transcript.pyannote[829].start 4847.96534375
transcript.pyannote[829].end 4848.03284375
transcript.pyannote[830].speaker SPEAKER_26
transcript.pyannote[830].start 4848.03284375
transcript.pyannote[830].end 4848.15096875
transcript.pyannote[831].speaker SPEAKER_20
transcript.pyannote[831].start 4848.15096875
transcript.pyannote[831].end 4848.48846875
transcript.pyannote[832].speaker SPEAKER_21
transcript.pyannote[832].start 4849.82159375
transcript.pyannote[832].end 4853.21346875
transcript.pyannote[833].speaker SPEAKER_20
transcript.pyannote[833].start 4853.14596875
transcript.pyannote[833].end 4853.17971875
transcript.pyannote[834].speaker SPEAKER_20
transcript.pyannote[834].start 4853.21346875
transcript.pyannote[834].end 4853.55096875
transcript.pyannote[835].speaker SPEAKER_21
transcript.pyannote[835].start 4853.43284375
transcript.pyannote[835].end 4857.75284375
transcript.pyannote[836].speaker SPEAKER_21
transcript.pyannote[836].start 4857.97221875
transcript.pyannote[836].end 4859.96346875
transcript.pyannote[837].speaker SPEAKER_02
transcript.pyannote[837].start 4859.96346875
transcript.pyannote[837].end 4874.23971875
transcript.pyannote[838].speaker SPEAKER_21
transcript.pyannote[838].start 4873.31159375
transcript.pyannote[838].end 4875.84284375
transcript.pyannote[839].speaker SPEAKER_21
transcript.pyannote[839].start 4876.16346875
transcript.pyannote[839].end 4878.22221875
transcript.pyannote[840].speaker SPEAKER_02
transcript.pyannote[840].start 4878.22221875
transcript.pyannote[840].end 4896.97034375
transcript.pyannote[841].speaker SPEAKER_02
transcript.pyannote[841].start 4897.69596875
transcript.pyannote[841].end 4905.96471875
transcript.pyannote[842].speaker SPEAKER_02
transcript.pyannote[842].start 4906.45409375
transcript.pyannote[842].end 4907.53409375
transcript.pyannote[843].speaker SPEAKER_02
transcript.pyannote[843].start 4908.20909375
transcript.pyannote[843].end 4915.19534375
transcript.pyannote[844].speaker SPEAKER_02
transcript.pyannote[844].start 4916.19096875
transcript.pyannote[844].end 4925.03346875
transcript.pyannote[845].speaker SPEAKER_25
transcript.pyannote[845].start 4925.03346875
transcript.pyannote[845].end 4925.37096875
transcript.pyannote[846].speaker SPEAKER_25
transcript.pyannote[846].start 4926.45096875
transcript.pyannote[846].end 4927.69971875
transcript.pyannote[847].speaker SPEAKER_25
transcript.pyannote[847].start 4928.32409375
transcript.pyannote[847].end 4942.83659375
transcript.pyannote[848].speaker SPEAKER_20
transcript.pyannote[848].start 4938.97221875
transcript.pyannote[848].end 4939.00596875
transcript.pyannote[849].speaker SPEAKER_20
transcript.pyannote[849].start 4939.17471875
transcript.pyannote[849].end 4939.27596875
transcript.pyannote[850].speaker SPEAKER_25
transcript.pyannote[850].start 4943.12346875
transcript.pyannote[850].end 4964.87534375
transcript.pyannote[851].speaker SPEAKER_02
transcript.pyannote[851].start 4949.70471875
transcript.pyannote[851].end 4950.58221875
transcript.pyannote[852].speaker SPEAKER_02
transcript.pyannote[852].start 4962.68159375
transcript.pyannote[852].end 4962.76596875
transcript.pyannote[853].speaker SPEAKER_02
transcript.pyannote[853].start 4962.81659375
transcript.pyannote[853].end 5010.06659375
transcript.pyannote[854].speaker SPEAKER_02
transcript.pyannote[854].start 5010.48846875
transcript.pyannote[854].end 5012.44596875
transcript.pyannote[855].speaker SPEAKER_21
transcript.pyannote[855].start 5012.74971875
transcript.pyannote[855].end 5025.47346875
transcript.pyannote[856].speaker SPEAKER_02
transcript.pyannote[856].start 5015.48346875
transcript.pyannote[856].end 5015.93909375
transcript.pyannote[857].speaker SPEAKER_20
transcript.pyannote[857].start 5025.55784375
transcript.pyannote[857].end 5026.03034375
transcript.pyannote[858].speaker SPEAKER_21
transcript.pyannote[858].start 5026.03034375
transcript.pyannote[858].end 5028.83159375
transcript.pyannote[859].speaker SPEAKER_11
transcript.pyannote[859].start 5028.83159375
transcript.pyannote[859].end 5029.23659375
transcript.pyannote[860].speaker SPEAKER_21
transcript.pyannote[860].start 5029.23659375
transcript.pyannote[860].end 5037.69096875
transcript.pyannote[861].speaker SPEAKER_02
transcript.pyannote[861].start 5037.69096875
transcript.pyannote[861].end 5065.04534375
transcript.pyannote[862].speaker SPEAKER_02
transcript.pyannote[862].start 5065.07909375
transcript.pyannote[862].end 5072.06534375
transcript.pyannote[863].speaker SPEAKER_02
transcript.pyannote[863].start 5072.43659375
transcript.pyannote[863].end 5086.59471875
transcript.pyannote[864].speaker SPEAKER_02
transcript.pyannote[864].start 5086.84784375
transcript.pyannote[864].end 5105.57909375
transcript.pyannote[865].speaker SPEAKER_02
transcript.pyannote[865].start 5106.23721875
transcript.pyannote[865].end 5106.77721875
transcript.pyannote[866].speaker SPEAKER_27
transcript.pyannote[866].start 5107.80659375
transcript.pyannote[866].end 5108.12721875
transcript.pyannote[867].speaker SPEAKER_27
transcript.pyannote[867].start 5108.43096875
transcript.pyannote[867].end 5111.43471875
transcript.pyannote[868].speaker SPEAKER_27
transcript.pyannote[868].start 5112.93659375
transcript.pyannote[868].end 5115.80534375
transcript.pyannote[869].speaker SPEAKER_18
transcript.pyannote[869].start 5127.17909375
transcript.pyannote[869].end 5130.87471875
transcript.pyannote[870].speaker SPEAKER_27
transcript.pyannote[870].start 5131.56659375
transcript.pyannote[870].end 5132.54534375
transcript.pyannote[871].speaker SPEAKER_18
transcript.pyannote[871].start 5131.65096875
transcript.pyannote[871].end 5132.14034375
transcript.pyannote[872].speaker SPEAKER_18
transcript.pyannote[872].start 5132.98409375
transcript.pyannote[872].end 5135.34659375
transcript.pyannote[873].speaker SPEAKER_27
transcript.pyannote[873].start 5135.09346875
transcript.pyannote[873].end 5136.40971875
transcript.pyannote[874].speaker SPEAKER_18
transcript.pyannote[874].start 5139.19409375
transcript.pyannote[874].end 5140.94909375
transcript.pyannote[875].speaker SPEAKER_18
transcript.pyannote[875].start 5141.47221875
transcript.pyannote[875].end 5147.10846875
transcript.pyannote[876].speaker SPEAKER_18
transcript.pyannote[876].start 5147.51346875
transcript.pyannote[876].end 5152.35659375
transcript.pyannote[877].speaker SPEAKER_18
transcript.pyannote[877].start 5152.98096875
transcript.pyannote[877].end 5155.74846875
transcript.pyannote[878].speaker SPEAKER_18
transcript.pyannote[878].start 5156.11971875
transcript.pyannote[878].end 5164.81034375
transcript.pyannote[879].speaker SPEAKER_18
transcript.pyannote[879].start 5165.18159375
transcript.pyannote[879].end 5166.59909375
transcript.pyannote[880].speaker SPEAKER_18
transcript.pyannote[880].start 5166.86909375
transcript.pyannote[880].end 5183.30534375
transcript.pyannote[881].speaker SPEAKER_18
transcript.pyannote[881].start 5183.65971875
transcript.pyannote[881].end 5185.54971875
transcript.pyannote[882].speaker SPEAKER_18
transcript.pyannote[882].start 5186.12346875
transcript.pyannote[882].end 5188.13159375
transcript.pyannote[883].speaker SPEAKER_18
transcript.pyannote[883].start 5188.51971875
transcript.pyannote[883].end 5190.32534375
transcript.pyannote[884].speaker SPEAKER_18
transcript.pyannote[884].start 5190.83159375
transcript.pyannote[884].end 5191.79346875
transcript.pyannote[885].speaker SPEAKER_18
transcript.pyannote[885].start 5192.09721875
transcript.pyannote[885].end 5192.77221875
transcript.pyannote[886].speaker SPEAKER_18
transcript.pyannote[886].start 5193.19409375
transcript.pyannote[886].end 5197.21034375
transcript.pyannote[887].speaker SPEAKER_18
transcript.pyannote[887].start 5203.47096875
transcript.pyannote[887].end 5204.24721875
transcript.pyannote[888].speaker SPEAKER_18
transcript.pyannote[888].start 5205.25971875
transcript.pyannote[888].end 5205.42846875
transcript.pyannote[889].speaker SPEAKER_18
transcript.pyannote[889].start 5205.81659375
transcript.pyannote[889].end 5205.83346875
transcript.pyannote[890].speaker SPEAKER_12
transcript.pyannote[890].start 5205.83346875
transcript.pyannote[890].end 5205.90096875
transcript.pyannote[891].speaker SPEAKER_18
transcript.pyannote[891].start 5205.90096875
transcript.pyannote[891].end 5206.13721875
transcript.pyannote[892].speaker SPEAKER_12
transcript.pyannote[892].start 5206.13721875
transcript.pyannote[892].end 5206.49159375
transcript.pyannote[893].speaker SPEAKER_12
transcript.pyannote[893].start 5206.94721875
transcript.pyannote[893].end 5207.53784375
transcript.pyannote[894].speaker SPEAKER_12
transcript.pyannote[894].start 5208.60096875
transcript.pyannote[894].end 5213.46096875
transcript.pyannote[895].speaker SPEAKER_12
transcript.pyannote[895].start 5213.69721875
transcript.pyannote[895].end 5215.89096875
transcript.pyannote[896].speaker SPEAKER_12
transcript.pyannote[896].start 5217.19034375
transcript.pyannote[896].end 5219.08034375
transcript.pyannote[897].speaker SPEAKER_12
transcript.pyannote[897].start 5220.04221875
transcript.pyannote[897].end 5223.38346875
transcript.pyannote[898].speaker SPEAKER_12
transcript.pyannote[898].start 5223.83909375
transcript.pyannote[898].end 5225.69534375
transcript.pyannote[899].speaker SPEAKER_18
transcript.pyannote[899].start 5226.69096875
transcript.pyannote[899].end 5241.01784375
transcript.pyannote[900].speaker SPEAKER_20
transcript.pyannote[900].start 5234.77409375
transcript.pyannote[900].end 5235.29721875
transcript.pyannote[901].speaker SPEAKER_12
transcript.pyannote[901].start 5235.29721875
transcript.pyannote[901].end 5235.33096875
transcript.pyannote[902].speaker SPEAKER_12
transcript.pyannote[902].start 5241.13596875
transcript.pyannote[902].end 5244.40971875
transcript.pyannote[903].speaker SPEAKER_18
transcript.pyannote[903].start 5245.37159375
transcript.pyannote[903].end 5248.20659375
transcript.pyannote[904].speaker SPEAKER_18
transcript.pyannote[904].start 5248.27409375
transcript.pyannote[904].end 5250.31596875
transcript.pyannote[905].speaker SPEAKER_18
transcript.pyannote[905].start 5250.53534375
transcript.pyannote[905].end 5251.71659375
transcript.pyannote[906].speaker SPEAKER_18
transcript.pyannote[906].start 5252.25659375
transcript.pyannote[906].end 5253.20159375
transcript.pyannote[907].speaker SPEAKER_12
transcript.pyannote[907].start 5255.29409375
transcript.pyannote[907].end 5255.64846875
transcript.pyannote[908].speaker SPEAKER_12
transcript.pyannote[908].start 5255.80034375
transcript.pyannote[908].end 5260.23846875
transcript.pyannote[909].speaker SPEAKER_12
transcript.pyannote[909].start 5260.67721875
transcript.pyannote[909].end 5262.36471875
transcript.pyannote[910].speaker SPEAKER_18
transcript.pyannote[910].start 5262.97221875
transcript.pyannote[910].end 5267.30909375
transcript.pyannote[911].speaker SPEAKER_18
transcript.pyannote[911].start 5268.16971875
transcript.pyannote[911].end 5268.55784375
transcript.pyannote[912].speaker SPEAKER_18
transcript.pyannote[912].start 5268.67596875
transcript.pyannote[912].end 5268.97971875
transcript.pyannote[913].speaker SPEAKER_18
transcript.pyannote[913].start 5269.23284375
transcript.pyannote[913].end 5299.82721875
transcript.pyannote[914].speaker SPEAKER_00
transcript.pyannote[914].start 5289.46596875
transcript.pyannote[914].end 5289.56721875
transcript.pyannote[915].speaker SPEAKER_00
transcript.pyannote[915].start 5289.82034375
transcript.pyannote[915].end 5289.87096875
transcript.pyannote[916].speaker SPEAKER_18
transcript.pyannote[916].start 5299.94534375
transcript.pyannote[916].end 5300.02971875
transcript.pyannote[917].speaker SPEAKER_18
transcript.pyannote[917].start 5300.04659375
transcript.pyannote[917].end 5300.65409375
transcript.pyannote[918].speaker SPEAKER_18
transcript.pyannote[918].start 5300.85659375
transcript.pyannote[918].end 5301.26159375
transcript.pyannote[919].speaker SPEAKER_18
transcript.pyannote[919].start 5301.63284375
transcript.pyannote[919].end 5303.08409375
transcript.pyannote[920].speaker SPEAKER_18
transcript.pyannote[920].start 5303.33721875
transcript.pyannote[920].end 5303.52284375
transcript.pyannote[921].speaker SPEAKER_18
transcript.pyannote[921].start 5303.70846875
transcript.pyannote[921].end 5304.90659375
transcript.pyannote[922].speaker SPEAKER_18
transcript.pyannote[922].start 5309.12534375
transcript.pyannote[922].end 5309.69909375
transcript.pyannote[923].speaker SPEAKER_18
transcript.pyannote[923].start 5310.50909375
transcript.pyannote[923].end 5314.00221875
transcript.pyannote[924].speaker SPEAKER_18
transcript.pyannote[924].start 5314.66034375
transcript.pyannote[924].end 5316.04409375
transcript.pyannote[925].speaker SPEAKER_18
transcript.pyannote[925].start 5316.16221875
transcript.pyannote[925].end 5317.52909375
transcript.pyannote[926].speaker SPEAKER_18
transcript.pyannote[926].start 5317.81596875
transcript.pyannote[926].end 5318.50784375
transcript.pyannote[927].speaker SPEAKER_18
transcript.pyannote[927].start 5319.23346875
transcript.pyannote[927].end 5319.79034375
transcript.pyannote[928].speaker SPEAKER_18
transcript.pyannote[928].start 5319.99284375
transcript.pyannote[928].end 5321.68034375
transcript.pyannote[929].speaker SPEAKER_18
transcript.pyannote[929].start 5322.22034375
transcript.pyannote[929].end 5324.80221875
transcript.pyannote[930].speaker SPEAKER_18
transcript.pyannote[930].start 5325.78096875
transcript.pyannote[930].end 5326.35471875
transcript.pyannote[931].speaker SPEAKER_18
transcript.pyannote[931].start 5327.09721875
transcript.pyannote[931].end 5330.69159375
transcript.pyannote[932].speaker SPEAKER_18
transcript.pyannote[932].start 5331.13034375
transcript.pyannote[932].end 5335.99034375
transcript.pyannote[933].speaker SPEAKER_18
transcript.pyannote[933].start 5336.36159375
transcript.pyannote[933].end 5337.55971875
transcript.pyannote[934].speaker SPEAKER_18
transcript.pyannote[934].start 5337.69471875
transcript.pyannote[934].end 5340.44534375
transcript.pyannote[935].speaker SPEAKER_18
transcript.pyannote[935].start 5340.64784375
transcript.pyannote[935].end 5341.93034375
transcript.pyannote[936].speaker SPEAKER_18
transcript.pyannote[936].start 5342.90909375
transcript.pyannote[936].end 5343.39846875
transcript.pyannote[937].speaker SPEAKER_18
transcript.pyannote[937].start 5344.44471875
transcript.pyannote[937].end 5345.15346875
transcript.pyannote[938].speaker SPEAKER_18
transcript.pyannote[938].start 5345.35596875
transcript.pyannote[938].end 5347.34721875
transcript.pyannote[939].speaker SPEAKER_18
transcript.pyannote[939].start 5348.15721875
transcript.pyannote[939].end 5351.85284375
transcript.pyannote[940].speaker SPEAKER_18
transcript.pyannote[940].start 5352.25784375
transcript.pyannote[940].end 5354.01284375
transcript.pyannote[941].speaker SPEAKER_18
transcript.pyannote[941].start 5354.87346875
transcript.pyannote[941].end 5359.95284375
transcript.pyannote[942].speaker SPEAKER_18
transcript.pyannote[942].start 5360.34096875
transcript.pyannote[942].end 5365.94346875
transcript.pyannote[943].speaker SPEAKER_18
transcript.pyannote[943].start 5366.66909375
transcript.pyannote[943].end 5370.51659375
transcript.pyannote[944].speaker SPEAKER_18
transcript.pyannote[944].start 5370.73596875
transcript.pyannote[944].end 5381.60346875
transcript.pyannote[945].speaker SPEAKER_18
transcript.pyannote[945].start 5382.04221875
transcript.pyannote[945].end 5385.78846875
transcript.pyannote[946].speaker SPEAKER_18
transcript.pyannote[946].start 5385.92346875
transcript.pyannote[946].end 5392.30221875
transcript.pyannote[947].speaker SPEAKER_18
transcript.pyannote[947].start 5392.74096875
transcript.pyannote[947].end 5394.10784375
transcript.pyannote[948].speaker SPEAKER_18
transcript.pyannote[948].start 5394.29346875
transcript.pyannote[948].end 5397.93846875
transcript.pyannote[949].speaker SPEAKER_18
transcript.pyannote[949].start 5399.13659375
transcript.pyannote[949].end 5400.80721875
transcript.pyannote[950].speaker SPEAKER_25
transcript.pyannote[950].start 5400.80721875
transcript.pyannote[950].end 5403.28784375
transcript.pyannote[951].speaker SPEAKER_18
transcript.pyannote[951].start 5401.22909375
transcript.pyannote[951].end 5401.83659375
transcript.pyannote[952].speaker SPEAKER_25
transcript.pyannote[952].start 5403.37221875
transcript.pyannote[952].end 5405.51534375
transcript.pyannote[953].speaker SPEAKER_25
transcript.pyannote[953].start 5405.78534375
transcript.pyannote[953].end 5414.50971875
transcript.pyannote[954].speaker SPEAKER_25
transcript.pyannote[954].start 5414.76284375
transcript.pyannote[954].end 5420.97284375
transcript.pyannote[955].speaker SPEAKER_18
transcript.pyannote[955].start 5420.97284375
transcript.pyannote[955].end 5421.05721875
transcript.pyannote[956].speaker SPEAKER_25
transcript.pyannote[956].start 5421.05721875
transcript.pyannote[956].end 5421.14159375
transcript.pyannote[957].speaker SPEAKER_25
transcript.pyannote[957].start 5421.46221875
transcript.pyannote[957].end 5421.52971875
transcript.pyannote[958].speaker SPEAKER_18
transcript.pyannote[958].start 5421.52971875
transcript.pyannote[958].end 5421.56346875
transcript.pyannote[959].speaker SPEAKER_25
transcript.pyannote[959].start 5421.56346875
transcript.pyannote[959].end 5421.66471875
transcript.pyannote[960].speaker SPEAKER_18
transcript.pyannote[960].start 5421.66471875
transcript.pyannote[960].end 5425.81596875
transcript.pyannote[961].speaker SPEAKER_25
transcript.pyannote[961].start 5426.62596875
transcript.pyannote[961].end 5428.14471875
transcript.pyannote[962].speaker SPEAKER_25
transcript.pyannote[962].start 5428.53284375
transcript.pyannote[962].end 5430.70971875
transcript.pyannote[963].speaker SPEAKER_18
transcript.pyannote[963].start 5430.70971875
transcript.pyannote[963].end 5438.67471875
transcript.pyannote[964].speaker SPEAKER_25
transcript.pyannote[964].start 5433.00471875
transcript.pyannote[964].end 5433.35909375
transcript.pyannote[965].speaker SPEAKER_18
transcript.pyannote[965].start 5439.14721875
transcript.pyannote[965].end 5440.39596875
transcript.pyannote[966].speaker SPEAKER_25
transcript.pyannote[966].start 5440.39596875
transcript.pyannote[966].end 5448.79971875
transcript.pyannote[967].speaker SPEAKER_18
transcript.pyannote[967].start 5447.58471875
transcript.pyannote[967].end 5447.68596875
transcript.pyannote[968].speaker SPEAKER_18
transcript.pyannote[968].start 5447.88846875
transcript.pyannote[968].end 5448.34409375
transcript.pyannote[969].speaker SPEAKER_25
transcript.pyannote[969].start 5448.93471875
transcript.pyannote[969].end 5449.45784375
transcript.pyannote[970].speaker SPEAKER_20
transcript.pyannote[970].start 5449.10346875
transcript.pyannote[970].end 5449.12034375
transcript.pyannote[971].speaker SPEAKER_18
transcript.pyannote[971].start 5449.12034375
transcript.pyannote[971].end 5449.39034375
transcript.pyannote[972].speaker SPEAKER_18
transcript.pyannote[972].start 5449.45784375
transcript.pyannote[972].end 5449.54221875
transcript.pyannote[973].speaker SPEAKER_25
transcript.pyannote[973].start 5449.54221875
transcript.pyannote[973].end 5449.64346875
transcript.pyannote[974].speaker SPEAKER_18
transcript.pyannote[974].start 5449.64346875
transcript.pyannote[974].end 5449.74471875
transcript.pyannote[975].speaker SPEAKER_25
transcript.pyannote[975].start 5449.74471875
transcript.pyannote[975].end 5449.82909375
transcript.pyannote[976].speaker SPEAKER_18
transcript.pyannote[976].start 5449.82909375
transcript.pyannote[976].end 5449.91346875
transcript.pyannote[977].speaker SPEAKER_25
transcript.pyannote[977].start 5449.91346875
transcript.pyannote[977].end 5449.94721875
transcript.pyannote[978].speaker SPEAKER_18
transcript.pyannote[978].start 5449.94721875
transcript.pyannote[978].end 5450.13284375
transcript.pyannote[979].speaker SPEAKER_25
transcript.pyannote[979].start 5450.85846875
transcript.pyannote[979].end 5450.97659375
transcript.pyannote[980].speaker SPEAKER_18
transcript.pyannote[980].start 5450.97659375
transcript.pyannote[980].end 5451.02721875
transcript.pyannote[981].speaker SPEAKER_25
transcript.pyannote[981].start 5451.02721875
transcript.pyannote[981].end 5451.97221875
transcript.pyannote[982].speaker SPEAKER_18
transcript.pyannote[982].start 5451.97221875
transcript.pyannote[982].end 5452.02284375
transcript.pyannote[983].speaker SPEAKER_25
transcript.pyannote[983].start 5452.02284375
transcript.pyannote[983].end 5452.96784375
transcript.pyannote[984].speaker SPEAKER_18
transcript.pyannote[984].start 5452.96784375
transcript.pyannote[984].end 5453.03534375
transcript.pyannote[985].speaker SPEAKER_25
transcript.pyannote[985].start 5453.03534375
transcript.pyannote[985].end 5453.96346875
transcript.pyannote[986].speaker SPEAKER_18
transcript.pyannote[986].start 5453.96346875
transcript.pyannote[986].end 5454.03096875
transcript.pyannote[987].speaker SPEAKER_25
transcript.pyannote[987].start 5454.03096875
transcript.pyannote[987].end 5459.38034375
transcript.pyannote[988].speaker SPEAKER_18
transcript.pyannote[988].start 5454.60471875
transcript.pyannote[988].end 5455.27971875
transcript.pyannote[989].speaker SPEAKER_18
transcript.pyannote[989].start 5457.45659375
transcript.pyannote[989].end 5459.27909375
transcript.pyannote[990].speaker SPEAKER_26
transcript.pyannote[990].start 5459.27909375
transcript.pyannote[990].end 5459.31284375
transcript.pyannote[991].speaker SPEAKER_25
transcript.pyannote[991].start 5459.88659375
transcript.pyannote[991].end 5461.75971875
transcript.pyannote[992].speaker SPEAKER_26
transcript.pyannote[992].start 5460.02159375
transcript.pyannote[992].end 5460.05534375
transcript.pyannote[993].speaker SPEAKER_18
transcript.pyannote[993].start 5460.05534375
transcript.pyannote[993].end 5461.64159375
transcript.pyannote[994].speaker SPEAKER_26
transcript.pyannote[994].start 5461.64159375
transcript.pyannote[994].end 5461.67534375
transcript.pyannote[995].speaker SPEAKER_25
transcript.pyannote[995].start 5461.84409375
transcript.pyannote[995].end 5462.19846875
transcript.pyannote[996].speaker SPEAKER_25
transcript.pyannote[996].start 5462.97471875
transcript.pyannote[996].end 5463.00846875
transcript.pyannote[997].speaker SPEAKER_25
transcript.pyannote[997].start 5463.05909375
transcript.pyannote[997].end 5463.07596875
transcript.pyannote[998].speaker SPEAKER_18
transcript.pyannote[998].start 5463.07596875
transcript.pyannote[998].end 5463.12659375
transcript.pyannote[999].speaker SPEAKER_25
transcript.pyannote[999].start 5463.12659375
transcript.pyannote[999].end 5466.28221875
transcript.pyannote[1000].speaker SPEAKER_18
transcript.pyannote[1000].start 5464.08846875
transcript.pyannote[1000].end 5471.78346875
transcript.pyannote[1001].speaker SPEAKER_21
transcript.pyannote[1001].start 5466.28221875
transcript.pyannote[1001].end 5466.34971875
transcript.pyannote[1002].speaker SPEAKER_25
transcript.pyannote[1002].start 5466.34971875
transcript.pyannote[1002].end 5466.38346875
transcript.pyannote[1003].speaker SPEAKER_21
transcript.pyannote[1003].start 5471.98596875
transcript.pyannote[1003].end 5480.69346875
transcript.pyannote[1004].speaker SPEAKER_21
transcript.pyannote[1004].start 5480.96346875
transcript.pyannote[1004].end 5484.91221875
transcript.pyannote[1005].speaker SPEAKER_21
transcript.pyannote[1005].start 5485.13159375
transcript.pyannote[1005].end 5491.79721875
transcript.pyannote[1006].speaker SPEAKER_21
transcript.pyannote[1006].start 5491.94909375
transcript.pyannote[1006].end 5492.62409375
transcript.pyannote[1007].speaker SPEAKER_21
transcript.pyannote[1007].start 5493.06284375
transcript.pyannote[1007].end 5493.78846875
transcript.pyannote[1008].speaker SPEAKER_21
transcript.pyannote[1008].start 5494.02471875
transcript.pyannote[1008].end 5494.78409375
transcript.pyannote[1009].speaker SPEAKER_21
transcript.pyannote[1009].start 5494.93596875
transcript.pyannote[1009].end 5502.68159375
transcript.pyannote[1010].speaker SPEAKER_21
transcript.pyannote[1010].start 5503.01909375
transcript.pyannote[1010].end 5505.76971875
transcript.pyannote[1011].speaker SPEAKER_21
transcript.pyannote[1011].start 5506.07346875
transcript.pyannote[1011].end 5513.43096875
transcript.pyannote[1012].speaker SPEAKER_21
transcript.pyannote[1012].start 5514.93284375
transcript.pyannote[1012].end 5522.69534375
transcript.pyannote[1013].speaker SPEAKER_18
transcript.pyannote[1013].start 5522.91471875
transcript.pyannote[1013].end 5523.26909375
transcript.pyannote[1014].speaker SPEAKER_18
transcript.pyannote[1014].start 5523.50534375
transcript.pyannote[1014].end 5531.31846875
transcript.pyannote[1015].speaker SPEAKER_21
transcript.pyannote[1015].start 5531.31846875
transcript.pyannote[1015].end 5531.33534375
transcript.pyannote[1016].speaker SPEAKER_21
transcript.pyannote[1016].start 5531.52096875
transcript.pyannote[1016].end 5535.85784375
transcript.pyannote[1017].speaker SPEAKER_18
transcript.pyannote[1017].start 5535.85784375
transcript.pyannote[1017].end 5537.66346875
transcript.pyannote[1018].speaker SPEAKER_21
transcript.pyannote[1018].start 5536.87034375
transcript.pyannote[1018].end 5537.35971875
transcript.pyannote[1019].speaker SPEAKER_21
transcript.pyannote[1019].start 5537.57909375
transcript.pyannote[1019].end 5545.76346875
transcript.pyannote[1020].speaker SPEAKER_18
transcript.pyannote[1020].start 5545.67909375
transcript.pyannote[1020].end 5547.38346875
transcript.pyannote[1021].speaker SPEAKER_21
transcript.pyannote[1021].start 5545.78034375
transcript.pyannote[1021].end 5545.81409375
transcript.pyannote[1022].speaker SPEAKER_21
transcript.pyannote[1022].start 5545.86471875
transcript.pyannote[1022].end 5549.99909375
transcript.pyannote[1023].speaker SPEAKER_18
transcript.pyannote[1023].start 5548.09221875
transcript.pyannote[1023].end 5548.31159375
transcript.pyannote[1024].speaker SPEAKER_18
transcript.pyannote[1024].start 5549.18909375
transcript.pyannote[1024].end 5572.39221875
transcript.pyannote[1025].speaker SPEAKER_20
transcript.pyannote[1025].start 5572.35846875
transcript.pyannote[1025].end 5572.81409375
transcript.pyannote[1026].speaker SPEAKER_18
transcript.pyannote[1026].start 5572.81409375
transcript.pyannote[1026].end 5577.57284375
transcript.pyannote[1027].speaker SPEAKER_18
transcript.pyannote[1027].start 5578.55159375
transcript.pyannote[1027].end 5586.29721875
transcript.pyannote[1028].speaker SPEAKER_20
transcript.pyannote[1028].start 5586.29721875
transcript.pyannote[1028].end 5586.41534375
transcript.pyannote[1029].speaker SPEAKER_18
transcript.pyannote[1029].start 5586.41534375
transcript.pyannote[1029].end 5596.28721875
transcript.pyannote[1030].speaker SPEAKER_18
transcript.pyannote[1030].start 5596.89471875
transcript.pyannote[1030].end 5623.48971875
transcript.pyannote[1031].speaker SPEAKER_18
transcript.pyannote[1031].start 5623.79346875
transcript.pyannote[1031].end 5630.29034375
transcript.pyannote[1032].speaker SPEAKER_21
transcript.pyannote[1032].start 5631.33659375
transcript.pyannote[1032].end 5639.94284375
transcript.pyannote[1033].speaker SPEAKER_18
transcript.pyannote[1033].start 5632.51784375
transcript.pyannote[1033].end 5633.24346875
transcript.pyannote[1034].speaker SPEAKER_26
transcript.pyannote[1034].start 5639.41971875
transcript.pyannote[1034].end 5639.45346875
transcript.pyannote[1035].speaker SPEAKER_18
transcript.pyannote[1035].start 5639.94284375
transcript.pyannote[1035].end 5640.01034375
transcript.pyannote[1036].speaker SPEAKER_21
transcript.pyannote[1036].start 5640.01034375
transcript.pyannote[1036].end 5641.93409375
transcript.pyannote[1037].speaker SPEAKER_18
transcript.pyannote[1037].start 5640.02721875
transcript.pyannote[1037].end 5642.74409375
transcript.pyannote[1038].speaker SPEAKER_21
transcript.pyannote[1038].start 5642.74409375
transcript.pyannote[1038].end 5655.85596875
transcript.pyannote[1039].speaker SPEAKER_18
transcript.pyannote[1039].start 5642.77784375
transcript.pyannote[1039].end 5643.45284375
transcript.pyannote[1040].speaker SPEAKER_26
transcript.pyannote[1040].start 5651.99159375
transcript.pyannote[1040].end 5655.92346875
transcript.pyannote[1041].speaker SPEAKER_21
transcript.pyannote[1041].start 5655.92346875
transcript.pyannote[1041].end 5656.07534375
transcript.pyannote[1042].speaker SPEAKER_18
transcript.pyannote[1042].start 5656.07534375
transcript.pyannote[1042].end 5656.39596875
transcript.pyannote[1043].speaker SPEAKER_26
transcript.pyannote[1043].start 5656.39596875
transcript.pyannote[1043].end 5656.41284375
transcript.pyannote[1044].speaker SPEAKER_26
transcript.pyannote[1044].start 5657.15534375
transcript.pyannote[1044].end 5657.17221875
transcript.pyannote[1045].speaker SPEAKER_18
transcript.pyannote[1045].start 5657.17221875
transcript.pyannote[1045].end 5657.18909375
transcript.pyannote[1046].speaker SPEAKER_26
transcript.pyannote[1046].start 5657.18909375
transcript.pyannote[1046].end 5660.76659375
transcript.pyannote[1047].speaker SPEAKER_26
transcript.pyannote[1047].start 5660.95221875
transcript.pyannote[1047].end 5661.01971875
transcript.pyannote[1048].speaker SPEAKER_21
transcript.pyannote[1048].start 5661.01971875
transcript.pyannote[1048].end 5661.96471875
transcript.pyannote[1049].speaker SPEAKER_18
transcript.pyannote[1049].start 5661.96471875
transcript.pyannote[1049].end 5661.98159375
transcript.pyannote[1050].speaker SPEAKER_21
transcript.pyannote[1050].start 5661.98159375
transcript.pyannote[1050].end 5661.99846875
transcript.pyannote[1051].speaker SPEAKER_18
transcript.pyannote[1051].start 5662.82534375
transcript.pyannote[1051].end 5662.85909375
transcript.pyannote[1052].speaker SPEAKER_21
transcript.pyannote[1052].start 5662.85909375
transcript.pyannote[1052].end 5662.90971875
transcript.pyannote[1053].speaker SPEAKER_18
transcript.pyannote[1053].start 5662.90971875
transcript.pyannote[1053].end 5663.83784375
transcript.pyannote[1054].speaker SPEAKER_21
transcript.pyannote[1054].start 5663.83784375
transcript.pyannote[1054].end 5663.85471875
transcript.pyannote[1055].speaker SPEAKER_18
transcript.pyannote[1055].start 5663.85471875
transcript.pyannote[1055].end 5663.87159375
transcript.pyannote[1056].speaker SPEAKER_21
transcript.pyannote[1056].start 5663.87159375
transcript.pyannote[1056].end 5663.88846875
transcript.pyannote[1057].speaker SPEAKER_21
transcript.pyannote[1057].start 5664.12471875
transcript.pyannote[1057].end 5664.73221875
transcript.pyannote[1058].speaker SPEAKER_21
transcript.pyannote[1058].start 5665.22159375
transcript.pyannote[1058].end 5675.27909375
transcript.pyannote[1059].speaker SPEAKER_18
transcript.pyannote[1059].start 5673.79409375
transcript.pyannote[1059].end 5679.02534375
transcript.pyannote[1060].speaker SPEAKER_18
transcript.pyannote[1060].start 5679.64971875
transcript.pyannote[1060].end 5680.18971875
transcript.pyannote[1061].speaker SPEAKER_21
transcript.pyannote[1061].start 5680.18971875
transcript.pyannote[1061].end 5680.37534375
transcript.pyannote[1062].speaker SPEAKER_18
transcript.pyannote[1062].start 5680.37534375
transcript.pyannote[1062].end 5680.49346875
transcript.pyannote[1063].speaker SPEAKER_21
transcript.pyannote[1063].start 5680.49346875
transcript.pyannote[1063].end 5687.68221875
transcript.pyannote[1064].speaker SPEAKER_18
transcript.pyannote[1064].start 5680.56096875
transcript.pyannote[1064].end 5684.13846875
transcript.pyannote[1065].speaker SPEAKER_18
transcript.pyannote[1065].start 5684.34096875
transcript.pyannote[1065].end 5686.95659375
transcript.pyannote[1066].speaker SPEAKER_18
transcript.pyannote[1066].start 5687.17596875
transcript.pyannote[1066].end 5695.96784375
transcript.pyannote[1067].speaker SPEAKER_18
transcript.pyannote[1067].start 5696.67659375
transcript.pyannote[1067].end 5699.49471875
transcript.pyannote[1068].speaker SPEAKER_21
transcript.pyannote[1068].start 5699.76471875
transcript.pyannote[1068].end 5709.75471875
transcript.pyannote[1069].speaker SPEAKER_21
transcript.pyannote[1069].start 5709.80534375
transcript.pyannote[1069].end 5712.94409375
transcript.pyannote[1070].speaker SPEAKER_21
transcript.pyannote[1070].start 5713.31534375
transcript.pyannote[1070].end 5713.48409375
transcript.pyannote[1071].speaker SPEAKER_18
transcript.pyannote[1071].start 5713.87221875
transcript.pyannote[1071].end 5714.66534375
transcript.pyannote[1072].speaker SPEAKER_18
transcript.pyannote[1072].start 5715.91409375
transcript.pyannote[1072].end 5718.79971875
transcript.pyannote[1073].speaker SPEAKER_21
transcript.pyannote[1073].start 5718.86721875
transcript.pyannote[1073].end 5721.38159375
transcript.pyannote[1074].speaker SPEAKER_18
transcript.pyannote[1074].start 5719.52534375
transcript.pyannote[1074].end 5720.63909375
transcript.pyannote[1075].speaker SPEAKER_18
transcript.pyannote[1075].start 5721.46596875
transcript.pyannote[1075].end 5729.29596875
transcript.pyannote[1076].speaker SPEAKER_20
transcript.pyannote[1076].start 5729.26221875
transcript.pyannote[1076].end 5729.63346875
transcript.pyannote[1077].speaker SPEAKER_18
transcript.pyannote[1077].start 5729.63346875
transcript.pyannote[1077].end 5732.99159375
transcript.pyannote[1078].speaker SPEAKER_18
transcript.pyannote[1078].start 5733.59909375
transcript.pyannote[1078].end 5739.20159375
transcript.pyannote[1079].speaker SPEAKER_18
transcript.pyannote[1079].start 5739.74159375
transcript.pyannote[1079].end 5741.02409375
transcript.pyannote[1080].speaker SPEAKER_18
transcript.pyannote[1080].start 5741.59784375
transcript.pyannote[1080].end 5742.30659375
transcript.pyannote[1081].speaker SPEAKER_18
transcript.pyannote[1081].start 5742.79596875
transcript.pyannote[1081].end 5743.31909375
transcript.pyannote[1082].speaker SPEAKER_18
transcript.pyannote[1082].start 5743.43721875
transcript.pyannote[1082].end 5745.59721875
transcript.pyannote[1083].speaker SPEAKER_18
transcript.pyannote[1083].start 5745.83346875
transcript.pyannote[1083].end 5752.87034375
transcript.pyannote[1084].speaker SPEAKER_18
transcript.pyannote[1084].start 5753.62971875
transcript.pyannote[1084].end 5759.04659375
transcript.pyannote[1085].speaker SPEAKER_25
transcript.pyannote[1085].start 5756.51534375
transcript.pyannote[1085].end 5757.07221875
transcript.pyannote[1086].speaker SPEAKER_18
transcript.pyannote[1086].start 5759.41784375
transcript.pyannote[1086].end 5762.57346875
transcript.pyannote[1087].speaker SPEAKER_18
transcript.pyannote[1087].start 5763.19784375
transcript.pyannote[1087].end 5763.70409375
transcript.pyannote[1088].speaker SPEAKER_18
transcript.pyannote[1088].start 5763.92346875
transcript.pyannote[1088].end 5765.69534375
transcript.pyannote[1089].speaker SPEAKER_18
transcript.pyannote[1089].start 5766.21846875
transcript.pyannote[1089].end 5766.75846875
transcript.pyannote[1090].speaker SPEAKER_18
transcript.pyannote[1090].start 5767.26471875
transcript.pyannote[1090].end 5768.58096875
transcript.pyannote[1091].speaker SPEAKER_18
transcript.pyannote[1091].start 5769.42471875
transcript.pyannote[1091].end 5771.06159375
transcript.pyannote[1092].speaker SPEAKER_18
transcript.pyannote[1092].start 5771.55096875
transcript.pyannote[1092].end 5772.71534375
transcript.pyannote[1093].speaker SPEAKER_18
transcript.pyannote[1093].start 5773.17096875
transcript.pyannote[1093].end 5776.07346875
transcript.pyannote[1094].speaker SPEAKER_18
transcript.pyannote[1094].start 5776.27596875
transcript.pyannote[1094].end 5776.32659375
transcript.pyannote[1095].speaker SPEAKER_25
transcript.pyannote[1095].start 5776.32659375
transcript.pyannote[1095].end 5776.52909375
transcript.pyannote[1096].speaker SPEAKER_18
transcript.pyannote[1096].start 5776.52909375
transcript.pyannote[1096].end 5777.87909375
transcript.pyannote[1097].speaker SPEAKER_18
transcript.pyannote[1097].start 5778.25034375
transcript.pyannote[1097].end 5781.43971875
transcript.pyannote[1098].speaker SPEAKER_18
transcript.pyannote[1098].start 5781.49034375
transcript.pyannote[1098].end 5782.62096875
transcript.pyannote[1099].speaker SPEAKER_18
transcript.pyannote[1099].start 5782.78971875
transcript.pyannote[1099].end 5783.39721875
transcript.pyannote[1100].speaker SPEAKER_18
transcript.pyannote[1100].start 5784.30846875
transcript.pyannote[1100].end 5786.51909375
transcript.pyannote[1101].speaker SPEAKER_18
transcript.pyannote[1101].start 5787.10971875
transcript.pyannote[1101].end 5787.64971875
transcript.pyannote[1102].speaker SPEAKER_18
transcript.pyannote[1102].start 5788.05471875
transcript.pyannote[1102].end 5793.25221875
transcript.pyannote[1103].speaker SPEAKER_18
transcript.pyannote[1103].start 5793.91034375
transcript.pyannote[1103].end 5799.85034375
transcript.pyannote[1104].speaker SPEAKER_18
transcript.pyannote[1104].start 5800.40721875
transcript.pyannote[1104].end 5804.74409375
transcript.pyannote[1105].speaker SPEAKER_18
transcript.pyannote[1105].start 5805.58784375
transcript.pyannote[1105].end 5808.52409375
transcript.pyannote[1106].speaker SPEAKER_18
transcript.pyannote[1106].start 5809.14846875
transcript.pyannote[1106].end 5810.53221875
transcript.pyannote[1107].speaker SPEAKER_18
transcript.pyannote[1107].start 5811.20721875
transcript.pyannote[1107].end 5814.59909375
transcript.pyannote[1108].speaker SPEAKER_18
transcript.pyannote[1108].start 5815.32471875
transcript.pyannote[1108].end 5819.10471875
transcript.pyannote[1109].speaker SPEAKER_18
transcript.pyannote[1109].start 5819.34096875
transcript.pyannote[1109].end 5821.75409375
transcript.pyannote[1110].speaker SPEAKER_18
transcript.pyannote[1110].start 5822.17596875
transcript.pyannote[1110].end 5823.07034375
transcript.pyannote[1111].speaker SPEAKER_18
transcript.pyannote[1111].start 5823.49221875
transcript.pyannote[1111].end 5824.94346875
transcript.pyannote[1112].speaker SPEAKER_18
transcript.pyannote[1112].start 5825.26409375
transcript.pyannote[1112].end 5826.39471875
transcript.pyannote[1113].speaker SPEAKER_18
transcript.pyannote[1113].start 5827.00221875
transcript.pyannote[1113].end 5828.16659375
transcript.pyannote[1114].speaker SPEAKER_18
transcript.pyannote[1114].start 5828.20034375
transcript.pyannote[1114].end 5829.53346875
transcript.pyannote[1115].speaker SPEAKER_18
transcript.pyannote[1115].start 5830.78221875
transcript.pyannote[1115].end 5833.97159375
transcript.pyannote[1116].speaker SPEAKER_18
transcript.pyannote[1116].start 5834.56221875
transcript.pyannote[1116].end 5835.54096875
transcript.pyannote[1117].speaker SPEAKER_18
transcript.pyannote[1117].start 5836.01346875
transcript.pyannote[1117].end 5836.82346875
transcript.pyannote[1118].speaker SPEAKER_18
transcript.pyannote[1118].start 5837.26221875
transcript.pyannote[1118].end 5837.68409375
transcript.pyannote[1119].speaker SPEAKER_18
transcript.pyannote[1119].start 5838.52784375
transcript.pyannote[1119].end 5839.82721875
transcript.pyannote[1120].speaker SPEAKER_18
transcript.pyannote[1120].start 5840.56971875
transcript.pyannote[1120].end 5841.80159375
transcript.pyannote[1121].speaker SPEAKER_18
transcript.pyannote[1121].start 5842.78034375
transcript.pyannote[1121].end 5850.10409375
transcript.pyannote[1122].speaker SPEAKER_18
transcript.pyannote[1122].start 5851.09971875
transcript.pyannote[1122].end 5856.44909375
transcript.pyannote[1123].speaker SPEAKER_18
transcript.pyannote[1123].start 5857.02284375
transcript.pyannote[1123].end 5858.32221875
transcript.pyannote[1124].speaker SPEAKER_18
transcript.pyannote[1124].start 5859.41909375
transcript.pyannote[1124].end 5863.38471875
transcript.pyannote[1125].speaker SPEAKER_18
transcript.pyannote[1125].start 5864.19471875
transcript.pyannote[1125].end 5866.84409375
transcript.pyannote[1126].speaker SPEAKER_18
transcript.pyannote[1126].start 5867.48534375
transcript.pyannote[1126].end 5870.47221875
transcript.pyannote[1127].speaker SPEAKER_18
transcript.pyannote[1127].start 5871.85596875
transcript.pyannote[1127].end 5873.12159375
transcript.pyannote[1128].speaker SPEAKER_18
transcript.pyannote[1128].start 5874.03284375
transcript.pyannote[1128].end 5875.06221875
transcript.pyannote[1129].speaker SPEAKER_18
transcript.pyannote[1129].start 5875.75409375
transcript.pyannote[1129].end 5877.03659375
transcript.pyannote[1130].speaker SPEAKER_25
transcript.pyannote[1130].start 5877.03659375
transcript.pyannote[1130].end 5878.60596875
transcript.pyannote[1131].speaker SPEAKER_25
transcript.pyannote[1131].start 5879.31471875
transcript.pyannote[1131].end 5885.18721875
transcript.pyannote[1132].speaker SPEAKER_18
transcript.pyannote[1132].start 5880.54659375
transcript.pyannote[1132].end 5881.12034375
transcript.pyannote[1133].speaker SPEAKER_18
transcript.pyannote[1133].start 5884.25909375
transcript.pyannote[1133].end 5887.43159375
transcript.pyannote[1134].speaker SPEAKER_25
transcript.pyannote[1134].start 5886.63846875
transcript.pyannote[1134].end 5888.89971875
transcript.pyannote[1135].speaker SPEAKER_18
transcript.pyannote[1135].start 5888.89971875
transcript.pyannote[1135].end 5888.95034375
transcript.pyannote[1136].speaker SPEAKER_25
transcript.pyannote[1136].start 5888.95034375
transcript.pyannote[1136].end 5888.96721875
transcript.pyannote[1137].speaker SPEAKER_18
transcript.pyannote[1137].start 5888.96721875
transcript.pyannote[1137].end 5889.00096875
transcript.pyannote[1138].speaker SPEAKER_25
transcript.pyannote[1138].start 5889.00096875
transcript.pyannote[1138].end 5894.01284375
transcript.pyannote[1139].speaker SPEAKER_18
transcript.pyannote[1139].start 5889.08534375
transcript.pyannote[1139].end 5890.63784375
transcript.pyannote[1140].speaker SPEAKER_18
transcript.pyannote[1140].start 5892.35909375
transcript.pyannote[1140].end 5892.93284375
transcript.pyannote[1141].speaker SPEAKER_18
transcript.pyannote[1141].start 5893.32096875
transcript.pyannote[1141].end 5896.99971875
transcript.pyannote[1142].speaker SPEAKER_25
transcript.pyannote[1142].start 5894.46846875
transcript.pyannote[1142].end 5896.67909375
transcript.pyannote[1143].speaker SPEAKER_25
transcript.pyannote[1143].start 5897.28659375
transcript.pyannote[1143].end 5897.86034375
transcript.pyannote[1144].speaker SPEAKER_18
transcript.pyannote[1144].start 5897.86034375
transcript.pyannote[1144].end 5897.94471875
transcript.pyannote[1145].speaker SPEAKER_25
transcript.pyannote[1145].start 5897.94471875
transcript.pyannote[1145].end 5897.97846875
transcript.pyannote[1146].speaker SPEAKER_18
transcript.pyannote[1146].start 5897.97846875
transcript.pyannote[1146].end 5899.85159375
transcript.pyannote[1147].speaker SPEAKER_25
transcript.pyannote[1147].start 5898.01221875
transcript.pyannote[1147].end 5898.48471875
transcript.pyannote[1148].speaker SPEAKER_18
transcript.pyannote[1148].start 5900.62784375
transcript.pyannote[1148].end 5901.06659375
transcript.pyannote[1149].speaker SPEAKER_18
transcript.pyannote[1149].start 5902.51784375
transcript.pyannote[1149].end 5904.22221875
transcript.pyannote[1150].speaker SPEAKER_18
transcript.pyannote[1150].start 5904.94784375
transcript.pyannote[1150].end 5907.24284375
transcript.pyannote[1151].speaker SPEAKER_18
transcript.pyannote[1151].start 5910.02721875
transcript.pyannote[1151].end 5910.75284375
transcript.pyannote[1152].speaker SPEAKER_18
transcript.pyannote[1152].start 5911.17471875
transcript.pyannote[1152].end 5913.23346875
transcript.pyannote[1153].speaker SPEAKER_18
transcript.pyannote[1153].start 5913.99284375
transcript.pyannote[1153].end 5915.17409375
transcript.pyannote[1154].speaker SPEAKER_18
transcript.pyannote[1154].start 5915.49471875
transcript.pyannote[1154].end 5917.43534375
transcript.pyannote[1155].speaker SPEAKER_18
transcript.pyannote[1155].start 5918.32971875
transcript.pyannote[1155].end 5919.46034375
transcript.pyannote[1156].speaker SPEAKER_18
transcript.pyannote[1156].start 5920.25346875
transcript.pyannote[1156].end 5924.45534375
transcript.pyannote[1157].speaker SPEAKER_18
transcript.pyannote[1157].start 5925.18096875
transcript.pyannote[1157].end 5932.87596875
transcript.pyannote[1158].speaker SPEAKER_18
transcript.pyannote[1158].start 5933.60159375
transcript.pyannote[1158].end 5934.52971875
transcript.pyannote[1159].speaker SPEAKER_18
transcript.pyannote[1159].start 5935.05284375
transcript.pyannote[1159].end 5937.85409375
transcript.pyannote[1160].speaker SPEAKER_18
transcript.pyannote[1160].start 5938.30971875
transcript.pyannote[1160].end 5939.50784375
transcript.pyannote[1161].speaker SPEAKER_18
transcript.pyannote[1161].start 5939.92971875
transcript.pyannote[1161].end 5940.77346875
transcript.pyannote[1162].speaker SPEAKER_18
transcript.pyannote[1162].start 5941.27971875
transcript.pyannote[1162].end 5942.71409375
transcript.pyannote[1163].speaker SPEAKER_18
transcript.pyannote[1163].start 5943.35534375
transcript.pyannote[1163].end 5945.29596875
transcript.pyannote[1164].speaker SPEAKER_18
transcript.pyannote[1164].start 5945.76846875
transcript.pyannote[1164].end 5946.89909375
transcript.pyannote[1165].speaker SPEAKER_18
transcript.pyannote[1165].start 5947.27034375
transcript.pyannote[1165].end 5947.84409375
transcript.pyannote[1166].speaker SPEAKER_18
transcript.pyannote[1166].start 5948.48534375
transcript.pyannote[1166].end 5949.73409375
transcript.pyannote[1167].speaker SPEAKER_18
transcript.pyannote[1167].start 5950.24034375
transcript.pyannote[1167].end 5953.04159375
transcript.pyannote[1168].speaker SPEAKER_18
transcript.pyannote[1168].start 5953.88534375
transcript.pyannote[1168].end 5960.61846875
transcript.pyannote[1169].speaker SPEAKER_18
transcript.pyannote[1169].start 5961.12471875
transcript.pyannote[1169].end 5962.74471875
transcript.pyannote[1170].speaker SPEAKER_18
transcript.pyannote[1170].start 5963.38596875
transcript.pyannote[1170].end 5964.71909375
transcript.pyannote[1171].speaker SPEAKER_18
transcript.pyannote[1171].start 5964.97221875
transcript.pyannote[1171].end 5969.47784375
transcript.pyannote[1172].speaker SPEAKER_18
transcript.pyannote[1172].start 5969.51159375
transcript.pyannote[1172].end 5971.84034375
transcript.pyannote[1173].speaker SPEAKER_18
transcript.pyannote[1173].start 5972.27909375
transcript.pyannote[1173].end 5973.51096875
transcript.pyannote[1174].speaker SPEAKER_18
transcript.pyannote[1174].start 5974.86096875
transcript.pyannote[1174].end 5977.24034375
transcript.pyannote[1175].speaker SPEAKER_18
transcript.pyannote[1175].start 5977.72971875
transcript.pyannote[1175].end 5979.16409375
transcript.pyannote[1176].speaker SPEAKER_18
transcript.pyannote[1176].start 5979.72096875
transcript.pyannote[1176].end 5981.05409375
transcript.pyannote[1177].speaker SPEAKER_18
transcript.pyannote[1177].start 5981.89784375
transcript.pyannote[1177].end 5983.16346875
transcript.pyannote[1178].speaker SPEAKER_18
transcript.pyannote[1178].start 5983.51784375
transcript.pyannote[1178].end 5984.88471875
transcript.pyannote[1179].speaker SPEAKER_18
transcript.pyannote[1179].start 5985.93096875
transcript.pyannote[1179].end 5986.79159375
transcript.pyannote[1180].speaker SPEAKER_18
transcript.pyannote[1180].start 5987.14596875
transcript.pyannote[1180].end 5989.20471875
transcript.pyannote[1181].speaker SPEAKER_18
transcript.pyannote[1181].start 5989.72784375
transcript.pyannote[1181].end 5990.84159375
transcript.pyannote[1182].speaker SPEAKER_18
transcript.pyannote[1182].start 5990.92596875
transcript.pyannote[1182].end 5992.00596875
transcript.pyannote[1183].speaker SPEAKER_25
transcript.pyannote[1183].start 5992.00596875
transcript.pyannote[1183].end 5992.02284375
transcript.pyannote[1184].speaker SPEAKER_18
transcript.pyannote[1184].start 5992.88346875
transcript.pyannote[1184].end 5993.03534375
transcript.pyannote[1185].speaker SPEAKER_25
transcript.pyannote[1185].start 5993.03534375
transcript.pyannote[1185].end 5993.38971875
transcript.pyannote[1186].speaker SPEAKER_25
transcript.pyannote[1186].start 5993.55846875
transcript.pyannote[1186].end 5994.04784375
transcript.pyannote[1187].speaker SPEAKER_25
transcript.pyannote[1187].start 5994.46971875
transcript.pyannote[1187].end 6001.96221875
transcript.pyannote[1188].speaker SPEAKER_18
transcript.pyannote[1188].start 5998.73909375
transcript.pyannote[1188].end 5999.88659375
transcript.pyannote[1189].speaker SPEAKER_18
transcript.pyannote[1189].start 6001.96221875
transcript.pyannote[1189].end 6002.48534375
transcript.pyannote[1190].speaker SPEAKER_25
transcript.pyannote[1190].start 6002.68784375
transcript.pyannote[1190].end 6002.70471875
transcript.pyannote[1191].speaker SPEAKER_18
transcript.pyannote[1191].start 6002.70471875
transcript.pyannote[1191].end 6004.52721875
transcript.pyannote[1192].speaker SPEAKER_25
transcript.pyannote[1192].start 6005.42159375
transcript.pyannote[1192].end 6006.72096875
transcript.pyannote[1193].speaker SPEAKER_18
transcript.pyannote[1193].start 6006.72096875
transcript.pyannote[1193].end 6012.13784375
transcript.pyannote[1194].speaker SPEAKER_25
transcript.pyannote[1194].start 6006.75471875
transcript.pyannote[1194].end 6006.77159375
transcript.pyannote[1195].speaker SPEAKER_25
transcript.pyannote[1195].start 6007.22721875
transcript.pyannote[1195].end 6010.56846875
transcript.pyannote[1196].speaker SPEAKER_18
transcript.pyannote[1196].start 6012.32346875
transcript.pyannote[1196].end 6013.40346875
transcript.pyannote[1197].speaker SPEAKER_18
transcript.pyannote[1197].start 6013.84221875
transcript.pyannote[1197].end 6015.74909375
transcript.pyannote[1198].speaker SPEAKER_18
transcript.pyannote[1198].start 6016.39034375
transcript.pyannote[1198].end 6016.87971875
transcript.pyannote[1199].speaker SPEAKER_18
transcript.pyannote[1199].start 6017.43659375
transcript.pyannote[1199].end 6019.09034375
transcript.pyannote[1200].speaker SPEAKER_18
transcript.pyannote[1200].start 6020.69346875
transcript.pyannote[1200].end 6021.16596875
transcript.pyannote[1201].speaker SPEAKER_18
transcript.pyannote[1201].start 6021.82409375
transcript.pyannote[1201].end 6024.25409375
transcript.pyannote[1202].speaker SPEAKER_18
transcript.pyannote[1202].start 6024.30471875
transcript.pyannote[1202].end 6024.32159375
transcript.pyannote[1203].speaker SPEAKER_25
transcript.pyannote[1203].start 6024.32159375
transcript.pyannote[1203].end 6025.65471875
transcript.pyannote[1204].speaker SPEAKER_25
transcript.pyannote[1204].start 6025.85721875
transcript.pyannote[1204].end 6027.71346875
transcript.pyannote[1205].speaker SPEAKER_26
transcript.pyannote[1205].start 6026.36346875
transcript.pyannote[1205].end 6026.39721875
transcript.pyannote[1206].speaker SPEAKER_18
transcript.pyannote[1206].start 6026.39721875
transcript.pyannote[1206].end 6026.83596875
transcript.pyannote[1207].speaker SPEAKER_25
transcript.pyannote[1207].start 6028.01721875
transcript.pyannote[1207].end 6032.79284375
transcript.pyannote[1208].speaker SPEAKER_26
transcript.pyannote[1208].start 6028.15221875
transcript.pyannote[1208].end 6028.18596875
transcript.pyannote[1209].speaker SPEAKER_18
transcript.pyannote[1209].start 6028.18596875
transcript.pyannote[1209].end 6028.96221875
transcript.pyannote[1210].speaker SPEAKER_26
transcript.pyannote[1210].start 6028.96221875
transcript.pyannote[1210].end 6028.97909375
transcript.pyannote[1211].speaker SPEAKER_18
transcript.pyannote[1211].start 6029.75534375
transcript.pyannote[1211].end 6029.92409375
transcript.pyannote[1212].speaker SPEAKER_25
transcript.pyannote[1212].start 6033.41721875
transcript.pyannote[1212].end 6035.02034375
transcript.pyannote[1213].speaker SPEAKER_18
transcript.pyannote[1213].start 6033.90659375
transcript.pyannote[1213].end 6034.66596875
transcript.pyannote[1214].speaker SPEAKER_18
transcript.pyannote[1214].start 6035.02034375
transcript.pyannote[1214].end 6035.88096875
transcript.pyannote[1215].speaker SPEAKER_25
transcript.pyannote[1215].start 6035.88096875
transcript.pyannote[1215].end 6035.89784375
transcript.pyannote[1216].speaker SPEAKER_18
transcript.pyannote[1216].start 6035.89784375
transcript.pyannote[1216].end 6035.93159375
transcript.pyannote[1217].speaker SPEAKER_18
transcript.pyannote[1217].start 6037.43346875
transcript.pyannote[1217].end 6038.19284375
transcript.pyannote[1218].speaker SPEAKER_18
transcript.pyannote[1218].start 6038.98596875
transcript.pyannote[1218].end 6042.09096875
transcript.pyannote[1219].speaker SPEAKER_25
transcript.pyannote[1219].start 6040.75784375
transcript.pyannote[1219].end 6043.22159375
transcript.pyannote[1220].speaker SPEAKER_18
transcript.pyannote[1220].start 6043.22159375
transcript.pyannote[1220].end 6050.71409375
transcript.pyannote[1221].speaker SPEAKER_27
transcript.pyannote[1221].start 6048.97596875
transcript.pyannote[1221].end 6052.97534375
transcript.pyannote[1222].speaker SPEAKER_18
transcript.pyannote[1222].start 6052.21596875
transcript.pyannote[1222].end 6052.80659375
transcript.pyannote[1223].speaker SPEAKER_18
transcript.pyannote[1223].start 6053.14409375
transcript.pyannote[1223].end 6057.10971875
transcript.pyannote[1224].speaker SPEAKER_18
transcript.pyannote[1224].start 6058.25721875
transcript.pyannote[1224].end 6058.98284375
transcript.pyannote[1225].speaker SPEAKER_27
transcript.pyannote[1225].start 6060.24846875
transcript.pyannote[1225].end 6062.25659375
transcript.pyannote[1226].speaker SPEAKER_27
transcript.pyannote[1226].start 6062.40846875
transcript.pyannote[1226].end 6063.65721875
transcript.pyannote[1227].speaker SPEAKER_27
transcript.pyannote[1227].start 6063.92721875
transcript.pyannote[1227].end 6066.13784375
transcript.pyannote[1228].speaker SPEAKER_13
transcript.pyannote[1228].start 6076.97159375
transcript.pyannote[1228].end 6077.03909375
transcript.pyannote[1229].speaker SPEAKER_27
transcript.pyannote[1229].start 6079.35096875
transcript.pyannote[1229].end 6082.08471875
transcript.pyannote[1230].speaker SPEAKER_13
transcript.pyannote[1230].start 6082.59096875
transcript.pyannote[1230].end 6083.02971875
transcript.pyannote[1231].speaker SPEAKER_13
transcript.pyannote[1231].start 6083.28284375
transcript.pyannote[1231].end 6083.31659375
transcript.pyannote[1232].speaker SPEAKER_27
transcript.pyannote[1232].start 6083.31659375
transcript.pyannote[1232].end 6084.46409375
transcript.pyannote[1233].speaker SPEAKER_13
transcript.pyannote[1233].start 6083.53596875
transcript.pyannote[1233].end 6083.58659375
transcript.pyannote[1234].speaker SPEAKER_27
transcript.pyannote[1234].start 6085.15596875
transcript.pyannote[1234].end 6086.53971875
transcript.pyannote[1235].speaker SPEAKER_13
transcript.pyannote[1235].start 6093.59346875
transcript.pyannote[1235].end 6095.38221875
transcript.pyannote[1236].speaker SPEAKER_13
transcript.pyannote[1236].start 6096.19221875
transcript.pyannote[1236].end 6098.74034375
transcript.pyannote[1237].speaker SPEAKER_13
transcript.pyannote[1237].start 6099.21284375
transcript.pyannote[1237].end 6100.52909375
transcript.pyannote[1238].speaker SPEAKER_13
transcript.pyannote[1238].start 6101.27159375
transcript.pyannote[1238].end 6102.04784375
transcript.pyannote[1239].speaker SPEAKER_13
transcript.pyannote[1239].start 6102.50346875
transcript.pyannote[1239].end 6103.51596875
transcript.pyannote[1240].speaker SPEAKER_13
transcript.pyannote[1240].start 6104.88284375
transcript.pyannote[1240].end 6105.42284375
transcript.pyannote[1241].speaker SPEAKER_13
transcript.pyannote[1241].start 6105.70971875
transcript.pyannote[1241].end 6110.08034375
transcript.pyannote[1242].speaker SPEAKER_13
transcript.pyannote[1242].start 6110.36721875
transcript.pyannote[1242].end 6115.04159375
transcript.pyannote[1243].speaker SPEAKER_13
transcript.pyannote[1243].start 6115.63221875
transcript.pyannote[1243].end 6121.04909375
transcript.pyannote[1244].speaker SPEAKER_13
transcript.pyannote[1244].start 6121.53846875
transcript.pyannote[1244].end 6122.93909375
transcript.pyannote[1245].speaker SPEAKER_13
transcript.pyannote[1245].start 6123.39471875
transcript.pyannote[1245].end 6125.03159375
transcript.pyannote[1246].speaker SPEAKER_13
transcript.pyannote[1246].start 6125.63909375
transcript.pyannote[1246].end 6127.71471875
transcript.pyannote[1247].speaker SPEAKER_13
transcript.pyannote[1247].start 6128.17034375
transcript.pyannote[1247].end 6130.00971875
transcript.pyannote[1248].speaker SPEAKER_13
transcript.pyannote[1248].start 6130.75221875
transcript.pyannote[1248].end 6131.74784375
transcript.pyannote[1249].speaker SPEAKER_13
transcript.pyannote[1249].start 6132.00096875
transcript.pyannote[1249].end 6133.09784375
transcript.pyannote[1250].speaker SPEAKER_13
transcript.pyannote[1250].start 6133.77284375
transcript.pyannote[1250].end 6137.55284375
transcript.pyannote[1251].speaker SPEAKER_13
transcript.pyannote[1251].start 6138.73409375
transcript.pyannote[1251].end 6139.18971875
transcript.pyannote[1252].speaker SPEAKER_13
transcript.pyannote[1252].start 6139.35846875
transcript.pyannote[1252].end 6145.01159375
transcript.pyannote[1253].speaker SPEAKER_13
transcript.pyannote[1253].start 6145.99034375
transcript.pyannote[1253].end 6146.71596875
transcript.pyannote[1254].speaker SPEAKER_13
transcript.pyannote[1254].start 6147.23909375
transcript.pyannote[1254].end 6148.18409375
transcript.pyannote[1255].speaker SPEAKER_13
transcript.pyannote[1255].start 6148.84221875
transcript.pyannote[1255].end 6150.68159375
transcript.pyannote[1256].speaker SPEAKER_13
transcript.pyannote[1256].start 6151.60971875
transcript.pyannote[1256].end 6152.08221875
transcript.pyannote[1257].speaker SPEAKER_25
transcript.pyannote[1257].start 6152.08221875
transcript.pyannote[1257].end 6152.11596875
transcript.pyannote[1258].speaker SPEAKER_25
transcript.pyannote[1258].start 6152.38596875
transcript.pyannote[1258].end 6152.40284375
transcript.pyannote[1259].speaker SPEAKER_13
transcript.pyannote[1259].start 6152.40284375
transcript.pyannote[1259].end 6152.68971875
transcript.pyannote[1260].speaker SPEAKER_25
transcript.pyannote[1260].start 6152.68971875
transcript.pyannote[1260].end 6152.72346875
transcript.pyannote[1261].speaker SPEAKER_25
transcript.pyannote[1261].start 6153.49971875
transcript.pyannote[1261].end 6158.20784375
transcript.pyannote[1262].speaker SPEAKER_25
transcript.pyannote[1262].start 6158.49471875
transcript.pyannote[1262].end 6159.79409375
transcript.pyannote[1263].speaker SPEAKER_25
transcript.pyannote[1263].start 6160.21596875
transcript.pyannote[1263].end 6163.99596875
transcript.pyannote[1264].speaker SPEAKER_13
transcript.pyannote[1264].start 6162.98346875
transcript.pyannote[1264].end 6163.59096875
transcript.pyannote[1265].speaker SPEAKER_13
transcript.pyannote[1265].start 6163.99596875
transcript.pyannote[1265].end 6164.01284375
transcript.pyannote[1266].speaker SPEAKER_25
transcript.pyannote[1266].start 6164.01284375
transcript.pyannote[1266].end 6164.68784375
transcript.pyannote[1267].speaker SPEAKER_13
transcript.pyannote[1267].start 6164.04659375
transcript.pyannote[1267].end 6172.02846875
transcript.pyannote[1268].speaker SPEAKER_25
transcript.pyannote[1268].start 6164.97471875
transcript.pyannote[1268].end 6165.59909375
transcript.pyannote[1269].speaker SPEAKER_25
transcript.pyannote[1269].start 6172.02846875
transcript.pyannote[1269].end 6180.22971875
transcript.pyannote[1270].speaker SPEAKER_13
transcript.pyannote[1270].start 6177.83346875
transcript.pyannote[1270].end 6179.30159375
transcript.pyannote[1271].speaker SPEAKER_13
transcript.pyannote[1271].start 6180.22971875
transcript.pyannote[1271].end 6180.56721875
transcript.pyannote[1272].speaker SPEAKER_25
transcript.pyannote[1272].start 6180.24659375
transcript.pyannote[1272].end 6180.46596875
transcript.pyannote[1273].speaker SPEAKER_25
transcript.pyannote[1273].start 6180.56721875
transcript.pyannote[1273].end 6180.97221875
transcript.pyannote[1274].speaker SPEAKER_13
transcript.pyannote[1274].start 6180.97221875
transcript.pyannote[1274].end 6186.20346875
transcript.pyannote[1275].speaker SPEAKER_25
transcript.pyannote[1275].start 6182.15346875
transcript.pyannote[1275].end 6182.49096875
transcript.pyannote[1276].speaker SPEAKER_25
transcript.pyannote[1276].start 6183.95909375
transcript.pyannote[1276].end 6184.16159375
transcript.pyannote[1277].speaker SPEAKER_25
transcript.pyannote[1277].start 6184.21221875
transcript.pyannote[1277].end 6184.22909375
transcript.pyannote[1278].speaker SPEAKER_25
transcript.pyannote[1278].start 6186.20346875
transcript.pyannote[1278].end 6186.76034375
transcript.pyannote[1279].speaker SPEAKER_13
transcript.pyannote[1279].start 6186.97971875
transcript.pyannote[1279].end 6189.29159375
transcript.pyannote[1280].speaker SPEAKER_13
transcript.pyannote[1280].start 6189.86534375
transcript.pyannote[1280].end 6190.84409375
transcript.pyannote[1281].speaker SPEAKER_13
transcript.pyannote[1281].start 6190.99596875
transcript.pyannote[1281].end 6195.80534375
transcript.pyannote[1282].speaker SPEAKER_13
transcript.pyannote[1282].start 6196.21034375
transcript.pyannote[1282].end 6197.67846875
transcript.pyannote[1283].speaker SPEAKER_13
transcript.pyannote[1283].start 6198.08346875
transcript.pyannote[1283].end 6199.55159375
transcript.pyannote[1284].speaker SPEAKER_13
transcript.pyannote[1284].start 6200.51346875
transcript.pyannote[1284].end 6202.03221875
transcript.pyannote[1285].speaker SPEAKER_25
transcript.pyannote[1285].start 6202.03221875
transcript.pyannote[1285].end 6202.30221875
transcript.pyannote[1286].speaker SPEAKER_13
transcript.pyannote[1286].start 6202.26846875
transcript.pyannote[1286].end 6202.28534375
transcript.pyannote[1287].speaker SPEAKER_20
transcript.pyannote[1287].start 6202.28534375
transcript.pyannote[1287].end 6202.70721875
transcript.pyannote[1288].speaker SPEAKER_13
transcript.pyannote[1288].start 6202.30221875
transcript.pyannote[1288].end 6202.69034375
transcript.pyannote[1289].speaker SPEAKER_25
transcript.pyannote[1289].start 6202.69034375
transcript.pyannote[1289].end 6215.38034375
transcript.pyannote[1290].speaker SPEAKER_25
transcript.pyannote[1290].start 6215.61659375
transcript.pyannote[1290].end 6217.16909375
transcript.pyannote[1291].speaker SPEAKER_25
transcript.pyannote[1291].start 6217.27034375
transcript.pyannote[1291].end 6219.36284375
transcript.pyannote[1292].speaker SPEAKER_25
transcript.pyannote[1292].start 6219.71721875
transcript.pyannote[1292].end 6220.94909375
transcript.pyannote[1293].speaker SPEAKER_25
transcript.pyannote[1293].start 6221.11784375
transcript.pyannote[1293].end 6222.38346875
transcript.pyannote[1294].speaker SPEAKER_25
transcript.pyannote[1294].start 6222.68721875
transcript.pyannote[1294].end 6222.97409375
transcript.pyannote[1295].speaker SPEAKER_13
transcript.pyannote[1295].start 6222.97409375
transcript.pyannote[1295].end 6230.11221875
transcript.pyannote[1296].speaker SPEAKER_13
transcript.pyannote[1296].start 6230.41596875
transcript.pyannote[1296].end 6234.98909375
transcript.pyannote[1297].speaker SPEAKER_13
transcript.pyannote[1297].start 6236.22096875
transcript.pyannote[1297].end 6237.14909375
transcript.pyannote[1298].speaker SPEAKER_25
transcript.pyannote[1298].start 6236.32221875
transcript.pyannote[1298].end 6237.06471875
transcript.pyannote[1299].speaker SPEAKER_25
transcript.pyannote[1299].start 6237.14909375
transcript.pyannote[1299].end 6237.21659375
transcript.pyannote[1300].speaker SPEAKER_13
transcript.pyannote[1300].start 6237.53721875
transcript.pyannote[1300].end 6239.88284375
transcript.pyannote[1301].speaker SPEAKER_13
transcript.pyannote[1301].start 6240.16971875
transcript.pyannote[1301].end 6241.04721875
transcript.pyannote[1302].speaker SPEAKER_13
transcript.pyannote[1302].start 6242.21159375
transcript.pyannote[1302].end 6245.82284375
transcript.pyannote[1303].speaker SPEAKER_13
transcript.pyannote[1303].start 6246.24471875
transcript.pyannote[1303].end 6247.13909375
transcript.pyannote[1304].speaker SPEAKER_13
transcript.pyannote[1304].start 6247.54409375
transcript.pyannote[1304].end 6248.43846875
transcript.pyannote[1305].speaker SPEAKER_13
transcript.pyannote[1305].start 6248.77596875
transcript.pyannote[1305].end 6249.31596875
transcript.pyannote[1306].speaker SPEAKER_13
transcript.pyannote[1306].start 6249.67034375
transcript.pyannote[1306].end 6250.41284375
transcript.pyannote[1307].speaker SPEAKER_21
transcript.pyannote[1307].start 6251.83034375
transcript.pyannote[1307].end 6252.31971875
transcript.pyannote[1308].speaker SPEAKER_21
transcript.pyannote[1308].start 6252.72471875
transcript.pyannote[1308].end 6260.75721875
transcript.pyannote[1309].speaker SPEAKER_21
transcript.pyannote[1309].start 6260.84159375
transcript.pyannote[1309].end 6266.02221875
transcript.pyannote[1310].speaker SPEAKER_21
transcript.pyannote[1310].start 6266.44409375
transcript.pyannote[1310].end 6267.06846875
transcript.pyannote[1311].speaker SPEAKER_21
transcript.pyannote[1311].start 6267.35534375
transcript.pyannote[1311].end 6272.04659375
transcript.pyannote[1312].speaker SPEAKER_21
transcript.pyannote[1312].start 6272.33346875
transcript.pyannote[1312].end 6274.03784375
transcript.pyannote[1313].speaker SPEAKER_21
transcript.pyannote[1313].start 6274.32471875
transcript.pyannote[1313].end 6276.82221875
transcript.pyannote[1314].speaker SPEAKER_21
transcript.pyannote[1314].start 6276.90659375
transcript.pyannote[1314].end 6277.31159375
transcript.pyannote[1315].speaker SPEAKER_21
transcript.pyannote[1315].start 6277.59846875
transcript.pyannote[1315].end 6280.16346875
transcript.pyannote[1316].speaker SPEAKER_21
transcript.pyannote[1316].start 6280.29846875
transcript.pyannote[1316].end 6280.72034375
transcript.pyannote[1317].speaker SPEAKER_21
transcript.pyannote[1317].start 6280.97346875
transcript.pyannote[1317].end 6285.52971875
transcript.pyannote[1318].speaker SPEAKER_21
transcript.pyannote[1318].start 6285.93471875
transcript.pyannote[1318].end 6288.56721875
transcript.pyannote[1319].speaker SPEAKER_21
transcript.pyannote[1319].start 6288.63471875
transcript.pyannote[1319].end 6289.93409375
transcript.pyannote[1320].speaker SPEAKER_21
transcript.pyannote[1320].start 6290.13659375
transcript.pyannote[1320].end 6300.34596875
transcript.pyannote[1321].speaker SPEAKER_21
transcript.pyannote[1321].start 6300.66659375
transcript.pyannote[1321].end 6306.55596875
transcript.pyannote[1322].speaker SPEAKER_13
transcript.pyannote[1322].start 6302.28659375
transcript.pyannote[1322].end 6316.54596875
transcript.pyannote[1323].speaker SPEAKER_13
transcript.pyannote[1323].start 6316.79909375
transcript.pyannote[1323].end 6320.84909375
transcript.pyannote[1324].speaker SPEAKER_13
transcript.pyannote[1324].start 6321.57471875
transcript.pyannote[1324].end 6325.01721875
transcript.pyannote[1325].speaker SPEAKER_13
transcript.pyannote[1325].start 6326.11409375
transcript.pyannote[1325].end 6328.00409375
transcript.pyannote[1326].speaker SPEAKER_21
transcript.pyannote[1326].start 6327.51471875
transcript.pyannote[1326].end 6337.84221875
transcript.pyannote[1327].speaker SPEAKER_13
transcript.pyannote[1327].start 6337.84221875
transcript.pyannote[1327].end 6342.36471875
transcript.pyannote[1328].speaker SPEAKER_21
transcript.pyannote[1328].start 6339.04034375
transcript.pyannote[1328].end 6339.34409375
transcript.pyannote[1329].speaker SPEAKER_13
transcript.pyannote[1329].start 6342.92159375
transcript.pyannote[1329].end 6343.90034375
transcript.pyannote[1330].speaker SPEAKER_13
transcript.pyannote[1330].start 6345.58784375
transcript.pyannote[1330].end 6347.47784375
transcript.pyannote[1331].speaker SPEAKER_13
transcript.pyannote[1331].start 6348.43971875
transcript.pyannote[1331].end 6349.14846875
transcript.pyannote[1332].speaker SPEAKER_13
transcript.pyannote[1332].start 6350.11034375
transcript.pyannote[1332].end 6350.95409375
transcript.pyannote[1333].speaker SPEAKER_13
transcript.pyannote[1333].start 6351.39284375
transcript.pyannote[1333].end 6352.57409375
transcript.pyannote[1334].speaker SPEAKER_13
transcript.pyannote[1334].start 6352.70909375
transcript.pyannote[1334].end 6355.32471875
transcript.pyannote[1335].speaker SPEAKER_20
transcript.pyannote[1335].start 6355.47659375
transcript.pyannote[1335].end 6355.84784375
transcript.pyannote[1336].speaker SPEAKER_13
transcript.pyannote[1336].start 6355.84784375
transcript.pyannote[1336].end 6361.06221875
transcript.pyannote[1337].speaker SPEAKER_13
transcript.pyannote[1337].start 6361.87221875
transcript.pyannote[1337].end 6365.95596875
transcript.pyannote[1338].speaker SPEAKER_13
transcript.pyannote[1338].start 6366.69846875
transcript.pyannote[1338].end 6376.16534375
transcript.pyannote[1339].speaker SPEAKER_13
transcript.pyannote[1339].start 6376.94159375
transcript.pyannote[1339].end 6381.91971875
transcript.pyannote[1340].speaker SPEAKER_13
transcript.pyannote[1340].start 6382.44284375
transcript.pyannote[1340].end 6385.73346875
transcript.pyannote[1341].speaker SPEAKER_13
transcript.pyannote[1341].start 6386.64471875
transcript.pyannote[1341].end 6387.08346875
transcript.pyannote[1342].speaker SPEAKER_13
transcript.pyannote[1342].start 6387.45471875
transcript.pyannote[1342].end 6390.32346875
transcript.pyannote[1343].speaker SPEAKER_13
transcript.pyannote[1343].start 6391.65659375
transcript.pyannote[1343].end 6392.48346875
transcript.pyannote[1344].speaker SPEAKER_13
transcript.pyannote[1344].start 6392.61846875
transcript.pyannote[1344].end 6393.00659375
transcript.pyannote[1345].speaker SPEAKER_13
transcript.pyannote[1345].start 6393.37784375
transcript.pyannote[1345].end 6398.64284375
transcript.pyannote[1346].speaker SPEAKER_13
transcript.pyannote[1346].start 6399.30096875
transcript.pyannote[1346].end 6405.98346875
transcript.pyannote[1347].speaker SPEAKER_13
transcript.pyannote[1347].start 6406.75971875
transcript.pyannote[1347].end 6408.51471875
transcript.pyannote[1348].speaker SPEAKER_25
transcript.pyannote[1348].start 6408.51471875
transcript.pyannote[1348].end 6409.07159375
transcript.pyannote[1349].speaker SPEAKER_25
transcript.pyannote[1349].start 6409.34159375
transcript.pyannote[1349].end 6434.99159375
transcript.pyannote[1350].speaker SPEAKER_25
transcript.pyannote[1350].start 6435.59909375
transcript.pyannote[1350].end 6445.04909375
transcript.pyannote[1351].speaker SPEAKER_25
transcript.pyannote[1351].start 6445.33596875
transcript.pyannote[1351].end 6453.60471875
transcript.pyannote[1352].speaker SPEAKER_25
transcript.pyannote[1352].start 6453.84096875
transcript.pyannote[1352].end 6457.78971875
transcript.pyannote[1353].speaker SPEAKER_25
transcript.pyannote[1353].start 6457.89096875
transcript.pyannote[1353].end 6460.37159375
transcript.pyannote[1354].speaker SPEAKER_13
transcript.pyannote[1354].start 6460.37159375
transcript.pyannote[1354].end 6460.40534375
transcript.pyannote[1355].speaker SPEAKER_25
transcript.pyannote[1355].start 6461.29971875
transcript.pyannote[1355].end 6461.33346875
transcript.pyannote[1356].speaker SPEAKER_13
transcript.pyannote[1356].start 6461.33346875
transcript.pyannote[1356].end 6464.50596875
transcript.pyannote[1357].speaker SPEAKER_13
transcript.pyannote[1357].start 6464.82659375
transcript.pyannote[1357].end 6468.28596875
transcript.pyannote[1358].speaker SPEAKER_13
transcript.pyannote[1358].start 6468.99471875
transcript.pyannote[1358].end 6470.22659375
transcript.pyannote[1359].speaker SPEAKER_13
transcript.pyannote[1359].start 6470.44596875
transcript.pyannote[1359].end 6472.80846875
transcript.pyannote[1360].speaker SPEAKER_13
transcript.pyannote[1360].start 6473.07846875
transcript.pyannote[1360].end 6474.10784375
transcript.pyannote[1361].speaker SPEAKER_13
transcript.pyannote[1361].start 6474.44534375
transcript.pyannote[1361].end 6482.69721875
transcript.pyannote[1362].speaker SPEAKER_25
transcript.pyannote[1362].start 6482.64659375
transcript.pyannote[1362].end 6483.06846875
transcript.pyannote[1363].speaker SPEAKER_13
transcript.pyannote[1363].start 6483.06846875
transcript.pyannote[1363].end 6487.27034375
transcript.pyannote[1364].speaker SPEAKER_13
transcript.pyannote[1364].start 6487.48971875
transcript.pyannote[1364].end 6488.31659375
transcript.pyannote[1365].speaker SPEAKER_13
transcript.pyannote[1365].start 6488.63721875
transcript.pyannote[1365].end 6489.26159375
transcript.pyannote[1366].speaker SPEAKER_13
transcript.pyannote[1366].start 6489.81846875
transcript.pyannote[1366].end 6493.56471875
transcript.pyannote[1367].speaker SPEAKER_13
transcript.pyannote[1367].start 6494.39159375
transcript.pyannote[1367].end 6500.92221875
transcript.pyannote[1368].speaker SPEAKER_13
transcript.pyannote[1368].start 6501.37784375
transcript.pyannote[1368].end 6502.79534375
transcript.pyannote[1369].speaker SPEAKER_13
transcript.pyannote[1369].start 6503.75721875
transcript.pyannote[1369].end 6505.68096875
transcript.pyannote[1370].speaker SPEAKER_13
transcript.pyannote[1370].start 6506.72721875
transcript.pyannote[1370].end 6507.23346875
transcript.pyannote[1371].speaker SPEAKER_25
transcript.pyannote[1371].start 6507.23346875
transcript.pyannote[1371].end 6507.33471875
transcript.pyannote[1372].speaker SPEAKER_13
transcript.pyannote[1372].start 6507.33471875
transcript.pyannote[1372].end 6507.36846875
transcript.pyannote[1373].speaker SPEAKER_25
transcript.pyannote[1373].start 6507.36846875
transcript.pyannote[1373].end 6507.40221875
transcript.pyannote[1374].speaker SPEAKER_13
transcript.pyannote[1374].start 6507.40221875
transcript.pyannote[1374].end 6507.55409375
transcript.pyannote[1375].speaker SPEAKER_25
transcript.pyannote[1375].start 6507.55409375
transcript.pyannote[1375].end 6509.68034375
transcript.pyannote[1376].speaker SPEAKER_13
transcript.pyannote[1376].start 6509.14034375
transcript.pyannote[1376].end 6514.69221875
transcript.pyannote[1377].speaker SPEAKER_13
transcript.pyannote[1377].start 6515.11409375
transcript.pyannote[1377].end 6529.69409375
transcript.pyannote[1378].speaker SPEAKER_13
transcript.pyannote[1378].start 6530.18346875
transcript.pyannote[1378].end 6530.89221875
transcript.pyannote[1379].speaker SPEAKER_13
transcript.pyannote[1379].start 6530.92596875
transcript.pyannote[1379].end 6534.25034375
transcript.pyannote[1380].speaker SPEAKER_25
transcript.pyannote[1380].start 6534.25034375
transcript.pyannote[1380].end 6545.67471875
transcript.pyannote[1381].speaker SPEAKER_13
transcript.pyannote[1381].start 6545.05034375
transcript.pyannote[1381].end 6549.40409375
transcript.pyannote[1382].speaker SPEAKER_13
transcript.pyannote[1382].start 6550.09596875
transcript.pyannote[1382].end 6550.12971875
transcript.pyannote[1383].speaker SPEAKER_25
transcript.pyannote[1383].start 6550.12971875
transcript.pyannote[1383].end 6551.81721875
transcript.pyannote[1384].speaker SPEAKER_25
transcript.pyannote[1384].start 6552.23909375
transcript.pyannote[1384].end 6561.41909375
transcript.pyannote[1385].speaker SPEAKER_25
transcript.pyannote[1385].start 6562.00971875
transcript.pyannote[1385].end 6565.08096875
transcript.pyannote[1386].speaker SPEAKER_13
transcript.pyannote[1386].start 6565.08096875
transcript.pyannote[1386].end 6565.16534375
transcript.pyannote[1387].speaker SPEAKER_25
transcript.pyannote[1387].start 6565.16534375
transcript.pyannote[1387].end 6565.23284375
transcript.pyannote[1388].speaker SPEAKER_13
transcript.pyannote[1388].start 6565.23284375
transcript.pyannote[1388].end 6567.84846875
transcript.pyannote[1389].speaker SPEAKER_25
transcript.pyannote[1389].start 6568.40534375
transcript.pyannote[1389].end 6569.73846875
transcript.pyannote[1390].speaker SPEAKER_13
transcript.pyannote[1390].start 6569.26596875
transcript.pyannote[1390].end 6573.46784375
transcript.pyannote[1391].speaker SPEAKER_25
transcript.pyannote[1391].start 6573.23159375
transcript.pyannote[1391].end 6578.05784375
transcript.pyannote[1392].speaker SPEAKER_25
transcript.pyannote[1392].start 6578.19284375
transcript.pyannote[1392].end 6579.34034375
transcript.pyannote[1393].speaker SPEAKER_25
transcript.pyannote[1393].start 6579.82971875
transcript.pyannote[1393].end 6582.15846875
transcript.pyannote[1394].speaker SPEAKER_25
transcript.pyannote[1394].start 6583.05284375
transcript.pyannote[1394].end 6584.72346875
transcript.pyannote[1395].speaker SPEAKER_13
transcript.pyannote[1395].start 6583.76159375
transcript.pyannote[1395].end 6588.25034375
transcript.pyannote[1396].speaker SPEAKER_13
transcript.pyannote[1396].start 6588.94221875
transcript.pyannote[1396].end 6589.87034375
transcript.pyannote[1397].speaker SPEAKER_25
transcript.pyannote[1397].start 6590.15721875
transcript.pyannote[1397].end 6590.73096875
transcript.pyannote[1398].speaker SPEAKER_25
transcript.pyannote[1398].start 6591.15284375
transcript.pyannote[1398].end 6593.44784375
transcript.pyannote[1399].speaker SPEAKER_13
transcript.pyannote[1399].start 6593.44784375
transcript.pyannote[1399].end 6593.49846875
transcript.pyannote[1400].speaker SPEAKER_25
transcript.pyannote[1400].start 6593.49846875
transcript.pyannote[1400].end 6593.51534375
transcript.pyannote[1401].speaker SPEAKER_13
transcript.pyannote[1401].start 6593.51534375
transcript.pyannote[1401].end 6597.78471875
transcript.pyannote[1402].speaker SPEAKER_13
transcript.pyannote[1402].start 6598.15596875
transcript.pyannote[1402].end 6604.97346875
transcript.pyannote[1403].speaker SPEAKER_13
transcript.pyannote[1403].start 6605.15909375
transcript.pyannote[1403].end 6607.08284375
transcript.pyannote[1404].speaker SPEAKER_13
transcript.pyannote[1404].start 6608.71971875
transcript.pyannote[1404].end 6609.37784375
transcript.pyannote[1405].speaker SPEAKER_13
transcript.pyannote[1405].start 6609.68159375
transcript.pyannote[1405].end 6609.91784375
transcript.pyannote[1406].speaker SPEAKER_13
transcript.pyannote[1406].start 6611.62221875
transcript.pyannote[1406].end 6611.68971875
transcript.pyannote[1407].speaker SPEAKER_21
transcript.pyannote[1407].start 6611.68971875
transcript.pyannote[1407].end 6611.84159375
transcript.pyannote[1408].speaker SPEAKER_13
transcript.pyannote[1408].start 6611.84159375
transcript.pyannote[1408].end 6613.79909375
transcript.pyannote[1409].speaker SPEAKER_21
transcript.pyannote[1409].start 6612.01034375
transcript.pyannote[1409].end 6615.73971875
transcript.pyannote[1410].speaker SPEAKER_13
transcript.pyannote[1410].start 6614.40659375
transcript.pyannote[1410].end 6615.55409375
transcript.pyannote[1411].speaker SPEAKER_21
transcript.pyannote[1411].start 6615.79034375
transcript.pyannote[1411].end 6618.33846875
transcript.pyannote[1412].speaker SPEAKER_21
transcript.pyannote[1412].start 6618.37221875
transcript.pyannote[1412].end 6621.59534375
transcript.pyannote[1413].speaker SPEAKER_21
transcript.pyannote[1413].start 6622.08471875
transcript.pyannote[1413].end 6625.08846875
transcript.pyannote[1414].speaker SPEAKER_13
transcript.pyannote[1414].start 6623.95784375
transcript.pyannote[1414].end 6626.47221875
transcript.pyannote[1415].speaker SPEAKER_21
transcript.pyannote[1415].start 6626.72534375
transcript.pyannote[1415].end 6629.99909375
transcript.pyannote[1416].speaker SPEAKER_21
transcript.pyannote[1416].start 6630.53909375
transcript.pyannote[1416].end 6633.32346875
transcript.pyannote[1417].speaker SPEAKER_21
transcript.pyannote[1417].start 6633.86346875
transcript.pyannote[1417].end 6639.26346875
transcript.pyannote[1418].speaker SPEAKER_21
transcript.pyannote[1418].start 6639.56721875
transcript.pyannote[1418].end 6642.16596875
transcript.pyannote[1419].speaker SPEAKER_13
transcript.pyannote[1419].start 6642.52034375
transcript.pyannote[1419].end 6642.82409375
transcript.pyannote[1420].speaker SPEAKER_13
transcript.pyannote[1420].start 6643.58346875
transcript.pyannote[1420].end 6645.11909375
transcript.pyannote[1421].speaker SPEAKER_21
transcript.pyannote[1421].start 6644.95034375
transcript.pyannote[1421].end 6645.33846875
transcript.pyannote[1422].speaker SPEAKER_25
transcript.pyannote[1422].start 6645.11909375
transcript.pyannote[1422].end 6645.16971875
transcript.pyannote[1423].speaker SPEAKER_25
transcript.pyannote[1423].start 6645.23721875
transcript.pyannote[1423].end 6645.28784375
transcript.pyannote[1424].speaker SPEAKER_25
transcript.pyannote[1424].start 6645.33846875
transcript.pyannote[1424].end 6645.55784375
transcript.pyannote[1425].speaker SPEAKER_13
transcript.pyannote[1425].start 6646.68846875
transcript.pyannote[1425].end 6648.39284375
transcript.pyannote[1426].speaker SPEAKER_13
transcript.pyannote[1426].start 6649.11846875
transcript.pyannote[1426].end 6653.45534375
transcript.pyannote[1427].speaker SPEAKER_13
transcript.pyannote[1427].start 6654.13034375
transcript.pyannote[1427].end 6655.49721875
transcript.pyannote[1428].speaker SPEAKER_13
transcript.pyannote[1428].start 6655.66596875
transcript.pyannote[1428].end 6656.15534375
transcript.pyannote[1429].speaker SPEAKER_13
transcript.pyannote[1429].start 6656.93159375
transcript.pyannote[1429].end 6660.76221875
transcript.pyannote[1430].speaker SPEAKER_13
transcript.pyannote[1430].start 6661.77471875
transcript.pyannote[1430].end 6662.55096875
transcript.pyannote[1431].speaker SPEAKER_13
transcript.pyannote[1431].start 6662.66909375
transcript.pyannote[1431].end 6664.13721875
transcript.pyannote[1432].speaker SPEAKER_13
transcript.pyannote[1432].start 6664.33971875
transcript.pyannote[1432].end 6670.38096875
transcript.pyannote[1433].speaker SPEAKER_13
transcript.pyannote[1433].start 6670.56659375
transcript.pyannote[1433].end 6671.88284375
transcript.pyannote[1434].speaker SPEAKER_13
transcript.pyannote[1434].start 6672.35534375
transcript.pyannote[1434].end 6672.37221875
transcript.pyannote[1435].speaker SPEAKER_21
transcript.pyannote[1435].start 6672.37221875
transcript.pyannote[1435].end 6676.67534375
transcript.pyannote[1436].speaker SPEAKER_21
transcript.pyannote[1436].start 6676.99596875
transcript.pyannote[1436].end 6682.27784375
transcript.pyannote[1437].speaker SPEAKER_21
transcript.pyannote[1437].start 6682.58159375
transcript.pyannote[1437].end 6687.22221875
transcript.pyannote[1438].speaker SPEAKER_21
transcript.pyannote[1438].start 6687.59346875
transcript.pyannote[1438].end 6690.63096875
transcript.pyannote[1439].speaker SPEAKER_21
transcript.pyannote[1439].start 6690.98534375
transcript.pyannote[1439].end 6699.11909375
transcript.pyannote[1440].speaker SPEAKER_13
transcript.pyannote[1440].start 6697.44846875
transcript.pyannote[1440].end 6702.37596875
transcript.pyannote[1441].speaker SPEAKER_13
transcript.pyannote[1441].start 6702.64596875
transcript.pyannote[1441].end 6704.67096875
transcript.pyannote[1442].speaker SPEAKER_21
transcript.pyannote[1442].start 6704.40096875
transcript.pyannote[1442].end 6706.29096875
transcript.pyannote[1443].speaker SPEAKER_13
transcript.pyannote[1443].start 6706.83096875
transcript.pyannote[1443].end 6706.84784375
transcript.pyannote[1444].speaker SPEAKER_21
transcript.pyannote[1444].start 6706.84784375
transcript.pyannote[1444].end 6713.20971875
transcript.pyannote[1445].speaker SPEAKER_21
transcript.pyannote[1445].start 6713.34471875
transcript.pyannote[1445].end 6726.00096875
transcript.pyannote[1446].speaker SPEAKER_13
transcript.pyannote[1446].start 6722.40659375
transcript.pyannote[1446].end 6722.44034375
transcript.pyannote[1447].speaker SPEAKER_21
transcript.pyannote[1447].start 6726.89534375
transcript.pyannote[1447].end 6729.25784375
transcript.pyannote[1448].speaker SPEAKER_13
transcript.pyannote[1448].start 6727.73909375
transcript.pyannote[1448].end 6732.17721875
transcript.pyannote[1449].speaker SPEAKER_21
transcript.pyannote[1449].start 6731.14784375
transcript.pyannote[1449].end 6733.78034375
transcript.pyannote[1450].speaker SPEAKER_13
transcript.pyannote[1450].start 6733.78034375
transcript.pyannote[1450].end 6734.18534375
transcript.pyannote[1451].speaker SPEAKER_21
transcript.pyannote[1451].start 6734.18534375
transcript.pyannote[1451].end 6741.44159375
transcript.pyannote[1452].speaker SPEAKER_21
transcript.pyannote[1452].start 6742.28534375
transcript.pyannote[1452].end 6742.90971875
transcript.pyannote[1453].speaker SPEAKER_21
transcript.pyannote[1453].start 6743.29784375
transcript.pyannote[1453].end 6743.31471875
transcript.pyannote[1454].speaker SPEAKER_13
transcript.pyannote[1454].start 6743.31471875
transcript.pyannote[1454].end 6744.36096875
transcript.pyannote[1455].speaker SPEAKER_13
transcript.pyannote[1455].start 6744.51284375
transcript.pyannote[1455].end 6744.54659375
transcript.pyannote[1456].speaker SPEAKER_21
transcript.pyannote[1456].start 6744.54659375
transcript.pyannote[1456].end 6744.58034375
transcript.pyannote[1457].speaker SPEAKER_13
transcript.pyannote[1457].start 6744.58034375
transcript.pyannote[1457].end 6744.59721875
transcript.pyannote[1458].speaker SPEAKER_21
transcript.pyannote[1458].start 6744.59721875
transcript.pyannote[1458].end 6744.71534375
transcript.pyannote[1459].speaker SPEAKER_13
transcript.pyannote[1459].start 6744.71534375
transcript.pyannote[1459].end 6744.79971875
transcript.pyannote[1460].speaker SPEAKER_13
transcript.pyannote[1460].start 6745.28909375
transcript.pyannote[1460].end 6745.57596875
transcript.pyannote[1461].speaker SPEAKER_13
transcript.pyannote[1461].start 6746.11596875
transcript.pyannote[1461].end 6750.33471875
transcript.pyannote[1462].speaker SPEAKER_13
transcript.pyannote[1462].start 6753.62534375
transcript.pyannote[1462].end 6753.92909375
transcript.pyannote[1463].speaker SPEAKER_13
transcript.pyannote[1463].start 6754.77284375
transcript.pyannote[1463].end 6756.35909375
transcript.pyannote[1464].speaker SPEAKER_13
transcript.pyannote[1464].start 6757.47284375
transcript.pyannote[1464].end 6758.19846875
transcript.pyannote[1465].speaker SPEAKER_13
transcript.pyannote[1465].start 6761.06721875
transcript.pyannote[1465].end 6763.66596875
transcript.pyannote[1466].speaker SPEAKER_13
transcript.pyannote[1466].start 6764.93159375
transcript.pyannote[1466].end 6769.74096875
transcript.pyannote[1467].speaker SPEAKER_13
transcript.pyannote[1467].start 6771.29346875
transcript.pyannote[1467].end 6773.06534375
transcript.pyannote[1468].speaker SPEAKER_13
transcript.pyannote[1468].start 6773.68971875
transcript.pyannote[1468].end 6774.41534375
transcript.pyannote[1469].speaker SPEAKER_13
transcript.pyannote[1469].start 6775.19159375
transcript.pyannote[1469].end 6778.95471875
transcript.pyannote[1470].speaker SPEAKER_13
transcript.pyannote[1470].start 6778.97159375
transcript.pyannote[1470].end 6780.82784375
transcript.pyannote[1471].speaker SPEAKER_13
transcript.pyannote[1471].start 6781.26659375
transcript.pyannote[1471].end 6783.12284375
transcript.pyannote[1472].speaker SPEAKER_13
transcript.pyannote[1472].start 6783.56159375
transcript.pyannote[1472].end 6788.48909375
transcript.pyannote[1473].speaker SPEAKER_13
transcript.pyannote[1473].start 6789.34971875
transcript.pyannote[1473].end 6794.91846875
transcript.pyannote[1474].speaker SPEAKER_13
transcript.pyannote[1474].start 6795.50909375
transcript.pyannote[1474].end 6799.23846875
transcript.pyannote[1475].speaker SPEAKER_13
transcript.pyannote[1475].start 6799.64346875
transcript.pyannote[1475].end 6800.77409375
transcript.pyannote[1476].speaker SPEAKER_13
transcript.pyannote[1476].start 6801.66846875
transcript.pyannote[1476].end 6803.72721875
transcript.pyannote[1477].speaker SPEAKER_13
transcript.pyannote[1477].start 6804.09846875
transcript.pyannote[1477].end 6804.35159375
transcript.pyannote[1478].speaker SPEAKER_13
transcript.pyannote[1478].start 6804.87471875
transcript.pyannote[1478].end 6807.01784375
transcript.pyannote[1479].speaker SPEAKER_13
transcript.pyannote[1479].start 6807.76034375
transcript.pyannote[1479].end 6811.94534375
transcript.pyannote[1480].speaker SPEAKER_13
transcript.pyannote[1480].start 6812.33346875
transcript.pyannote[1480].end 6813.12659375
transcript.pyannote[1481].speaker SPEAKER_07
transcript.pyannote[1481].start 6813.12659375
transcript.pyannote[1481].end 6813.19409375
transcript.pyannote[1482].speaker SPEAKER_13
transcript.pyannote[1482].start 6813.43034375
transcript.pyannote[1482].end 6814.03784375
transcript.pyannote[1483].speaker SPEAKER_07
transcript.pyannote[1483].start 6814.03784375
transcript.pyannote[1483].end 6817.02471875
transcript.pyannote[1484].speaker SPEAKER_07
transcript.pyannote[1484].start 6817.44659375
transcript.pyannote[1484].end 6819.85971875
transcript.pyannote[1485].speaker SPEAKER_07
transcript.pyannote[1485].start 6820.04534375
transcript.pyannote[1485].end 6820.92284375
transcript.pyannote[1486].speaker SPEAKER_07
transcript.pyannote[1486].start 6821.20971875
transcript.pyannote[1486].end 6833.52846875
transcript.pyannote[1487].speaker SPEAKER_07
transcript.pyannote[1487].start 6833.69721875
transcript.pyannote[1487].end 6838.69221875
transcript.pyannote[1488].speaker SPEAKER_07
transcript.pyannote[1488].start 6839.26596875
transcript.pyannote[1488].end 6839.85659375
transcript.pyannote[1489].speaker SPEAKER_07
transcript.pyannote[1489].start 6840.14346875
transcript.pyannote[1489].end 6844.90221875
transcript.pyannote[1490].speaker SPEAKER_13
transcript.pyannote[1490].start 6844.09221875
transcript.pyannote[1490].end 6850.08284375
transcript.pyannote[1491].speaker SPEAKER_07
transcript.pyannote[1491].start 6846.75846875
transcript.pyannote[1491].end 6847.23096875
transcript.pyannote[1492].speaker SPEAKER_07
transcript.pyannote[1492].start 6847.46721875
transcript.pyannote[1492].end 6847.97346875
transcript.pyannote[1493].speaker SPEAKER_13
transcript.pyannote[1493].start 6850.52159375
transcript.pyannote[1493].end 6858.14909375
transcript.pyannote[1494].speaker SPEAKER_13
transcript.pyannote[1494].start 6858.31784375
transcript.pyannote[1494].end 6860.93346875
transcript.pyannote[1495].speaker SPEAKER_13
transcript.pyannote[1495].start 6861.37221875
transcript.pyannote[1495].end 6865.28721875
transcript.pyannote[1496].speaker SPEAKER_13
transcript.pyannote[1496].start 6865.60784375
transcript.pyannote[1496].end 6866.40096875
transcript.pyannote[1497].speaker SPEAKER_13
transcript.pyannote[1497].start 6866.97471875
transcript.pyannote[1497].end 6870.01221875
transcript.pyannote[1498].speaker SPEAKER_13
transcript.pyannote[1498].start 6870.58596875
transcript.pyannote[1498].end 6872.93159375
transcript.pyannote[1499].speaker SPEAKER_13
transcript.pyannote[1499].start 6873.42096875
transcript.pyannote[1499].end 6875.73284375
transcript.pyannote[1500].speaker SPEAKER_13
transcript.pyannote[1500].start 6875.98596875
transcript.pyannote[1500].end 6877.06596875
transcript.pyannote[1501].speaker SPEAKER_13
transcript.pyannote[1501].start 6877.30221875
transcript.pyannote[1501].end 6879.37784375
transcript.pyannote[1502].speaker SPEAKER_13
transcript.pyannote[1502].start 6879.52971875
transcript.pyannote[1502].end 6880.37346875
transcript.pyannote[1503].speaker SPEAKER_13
transcript.pyannote[1503].start 6880.64346875
transcript.pyannote[1503].end 6883.02284375
transcript.pyannote[1504].speaker SPEAKER_13
transcript.pyannote[1504].start 6883.29284375
transcript.pyannote[1504].end 6884.33909375
transcript.pyannote[1505].speaker SPEAKER_13
transcript.pyannote[1505].start 6884.55846875
transcript.pyannote[1505].end 6885.55409375
transcript.pyannote[1506].speaker SPEAKER_13
transcript.pyannote[1506].start 6885.90846875
transcript.pyannote[1506].end 6886.46534375
transcript.pyannote[1507].speaker SPEAKER_13
transcript.pyannote[1507].start 6886.92096875
transcript.pyannote[1507].end 6888.11909375
transcript.pyannote[1508].speaker SPEAKER_13
transcript.pyannote[1508].start 6888.57471875
transcript.pyannote[1508].end 6889.60409375
transcript.pyannote[1509].speaker SPEAKER_13
transcript.pyannote[1509].start 6890.29596875
transcript.pyannote[1509].end 6892.43909375
transcript.pyannote[1510].speaker SPEAKER_13
transcript.pyannote[1510].start 6893.19846875
transcript.pyannote[1510].end 6896.35409375
transcript.pyannote[1511].speaker SPEAKER_13
transcript.pyannote[1511].start 6896.75909375
transcript.pyannote[1511].end 6898.66596875
transcript.pyannote[1512].speaker SPEAKER_13
transcript.pyannote[1512].start 6899.10471875
transcript.pyannote[1512].end 6899.98221875
transcript.pyannote[1513].speaker SPEAKER_13
transcript.pyannote[1513].start 6900.72471875
transcript.pyannote[1513].end 6903.27284375
transcript.pyannote[1514].speaker SPEAKER_07
transcript.pyannote[1514].start 6904.13346875
transcript.pyannote[1514].end 6904.74096875
transcript.pyannote[1515].speaker SPEAKER_13
transcript.pyannote[1515].start 6904.15034375
transcript.pyannote[1515].end 6904.80846875
transcript.pyannote[1516].speaker SPEAKER_13
transcript.pyannote[1516].start 6905.09534375
transcript.pyannote[1516].end 6905.33159375
transcript.pyannote[1517].speaker SPEAKER_07
transcript.pyannote[1517].start 6905.33159375
transcript.pyannote[1517].end 6908.97659375
transcript.pyannote[1518].speaker SPEAKER_07
transcript.pyannote[1518].start 6909.53346875
transcript.pyannote[1518].end 6911.27159375
transcript.pyannote[1519].speaker SPEAKER_07
transcript.pyannote[1519].start 6911.52471875
transcript.pyannote[1519].end 6918.05534375
transcript.pyannote[1520].speaker SPEAKER_07
transcript.pyannote[1520].start 6918.40971875
transcript.pyannote[1520].end 6925.04159375
transcript.pyannote[1521].speaker SPEAKER_13
transcript.pyannote[1521].start 6923.89409375
transcript.pyannote[1521].end 6939.21659375
transcript.pyannote[1522].speaker SPEAKER_13
transcript.pyannote[1522].start 6940.66784375
transcript.pyannote[1522].end 6946.94534375
transcript.pyannote[1523].speaker SPEAKER_25
transcript.pyannote[1523].start 6943.23284375
transcript.pyannote[1523].end 6943.24971875
transcript.pyannote[1524].speaker SPEAKER_25
transcript.pyannote[1524].start 6943.57034375
transcript.pyannote[1524].end 6944.95409375
transcript.pyannote[1525].speaker SPEAKER_25
transcript.pyannote[1525].start 6947.04659375
transcript.pyannote[1525].end 6947.63721875
transcript.pyannote[1526].speaker SPEAKER_17
transcript.pyannote[1526].start 6947.63721875
transcript.pyannote[1526].end 6947.65409375
transcript.pyannote[1527].speaker SPEAKER_13
transcript.pyannote[1527].start 6948.12659375
transcript.pyannote[1527].end 6949.40909375
transcript.pyannote[1528].speaker SPEAKER_25
transcript.pyannote[1528].start 6949.05471875
transcript.pyannote[1528].end 6949.96596875
transcript.pyannote[1529].speaker SPEAKER_17
transcript.pyannote[1529].start 6949.96596875
transcript.pyannote[1529].end 6950.06721875
transcript.pyannote[1530].speaker SPEAKER_25
transcript.pyannote[1530].start 6950.06721875
transcript.pyannote[1530].end 6950.20221875
transcript.pyannote[1531].speaker SPEAKER_13
transcript.pyannote[1531].start 6950.20221875
transcript.pyannote[1531].end 6950.25284375
transcript.pyannote[1532].speaker SPEAKER_13
transcript.pyannote[1532].start 6950.35409375
transcript.pyannote[1532].end 6952.36221875
transcript.pyannote[1533].speaker SPEAKER_17
transcript.pyannote[1533].start 6952.90221875
transcript.pyannote[1533].end 6958.92659375
transcript.pyannote[1534].speaker SPEAKER_20
transcript.pyannote[1534].start 6959.50034375
transcript.pyannote[1534].end 6960.02346875
transcript.pyannote[1535].speaker SPEAKER_27
transcript.pyannote[1535].start 6968.71409375
transcript.pyannote[1535].end 6970.53659375
transcript.pyannote[1536].speaker SPEAKER_27
transcript.pyannote[1536].start 6970.72221875
transcript.pyannote[1536].end 6974.43471875
transcript.pyannote[1537].speaker SPEAKER_17
transcript.pyannote[1537].start 6976.25721875
transcript.pyannote[1537].end 6977.18534375
transcript.pyannote[1538].speaker SPEAKER_17
transcript.pyannote[1538].start 6979.17659375
transcript.pyannote[1538].end 6979.19346875
transcript.pyannote[1539].speaker SPEAKER_27
transcript.pyannote[1539].start 6979.19346875
transcript.pyannote[1539].end 6979.42971875
transcript.pyannote[1540].speaker SPEAKER_27
transcript.pyannote[1540].start 6980.50971875
transcript.pyannote[1540].end 6981.11721875
transcript.pyannote[1541].speaker SPEAKER_27
transcript.pyannote[1541].start 6981.47159375
transcript.pyannote[1541].end 6983.78346875
transcript.pyannote[1542].speaker SPEAKER_27
transcript.pyannote[1542].start 6984.52596875
transcript.pyannote[1542].end 6986.73659375
transcript.pyannote[1543].speaker SPEAKER_27
transcript.pyannote[1543].start 6986.97284375
transcript.pyannote[1543].end 6987.93471875
transcript.pyannote[1544].speaker SPEAKER_27
transcript.pyannote[1544].start 6987.95159375
transcript.pyannote[1544].end 6987.96846875
transcript.pyannote[1545].speaker SPEAKER_27
transcript.pyannote[1545].start 6988.49159375
transcript.pyannote[1545].end 6989.89221875
transcript.pyannote[1546].speaker SPEAKER_27
transcript.pyannote[1546].start 6990.21284375
transcript.pyannote[1546].end 6990.75284375
transcript.pyannote[1547].speaker SPEAKER_27
transcript.pyannote[1547].start 6991.49534375
transcript.pyannote[1547].end 6996.33846875
transcript.pyannote[1548].speaker SPEAKER_27
transcript.pyannote[1548].start 6996.50721875
transcript.pyannote[1548].end 7003.42596875
transcript.pyannote[1549].speaker SPEAKER_27
transcript.pyannote[1549].start 7003.51034375
transcript.pyannote[1549].end 7007.91471875
transcript.pyannote[1550].speaker SPEAKER_27
transcript.pyannote[1550].start 7008.72471875
transcript.pyannote[1550].end 7009.18034375
transcript.pyannote[1551].speaker SPEAKER_27
transcript.pyannote[1551].start 7009.58534375
transcript.pyannote[1551].end 7011.89721875
transcript.pyannote[1552].speaker SPEAKER_27
transcript.pyannote[1552].start 7012.16721875
transcript.pyannote[1552].end 7016.84159375
transcript.pyannote[1553].speaker SPEAKER_27
transcript.pyannote[1553].start 7017.09471875
transcript.pyannote[1553].end 7019.44034375
transcript.pyannote[1554].speaker SPEAKER_27
transcript.pyannote[1554].start 7020.06471875
transcript.pyannote[1554].end 7022.02221875
transcript.pyannote[1555].speaker SPEAKER_27
transcript.pyannote[1555].start 7023.10221875
transcript.pyannote[1555].end 7026.20721875
transcript.pyannote[1556].speaker SPEAKER_27
transcript.pyannote[1556].start 7026.83159375
transcript.pyannote[1556].end 7034.42534375
transcript.pyannote[1557].speaker SPEAKER_27
transcript.pyannote[1557].start 7034.91471875
transcript.pyannote[1557].end 7040.29784375
transcript.pyannote[1558].speaker SPEAKER_27
transcript.pyannote[1558].start 7041.05721875
transcript.pyannote[1558].end 7042.55909375
transcript.pyannote[1559].speaker SPEAKER_27
transcript.pyannote[1559].start 7042.79534375
transcript.pyannote[1559].end 7043.33534375
transcript.pyannote[1560].speaker SPEAKER_27
transcript.pyannote[1560].start 7043.62221875
transcript.pyannote[1560].end 7045.95096875
transcript.pyannote[1561].speaker SPEAKER_27
transcript.pyannote[1561].start 7046.32221875
transcript.pyannote[1561].end 7047.40221875
transcript.pyannote[1562].speaker SPEAKER_21
transcript.pyannote[1562].start 7049.35971875
transcript.pyannote[1562].end 7054.97909375
transcript.pyannote[1563].speaker SPEAKER_21
transcript.pyannote[1563].start 7055.55284375
transcript.pyannote[1563].end 7058.72534375
transcript.pyannote[1564].speaker SPEAKER_21
transcript.pyannote[1564].start 7058.97846875
transcript.pyannote[1564].end 7061.88096875
transcript.pyannote[1565].speaker SPEAKER_27
transcript.pyannote[1565].start 7061.98221875
transcript.pyannote[1565].end 7071.02721875
transcript.pyannote[1566].speaker SPEAKER_21
transcript.pyannote[1566].start 7062.04971875
transcript.pyannote[1566].end 7062.08346875
transcript.pyannote[1567].speaker SPEAKER_21
transcript.pyannote[1567].start 7062.13409375
transcript.pyannote[1567].end 7066.99409375
transcript.pyannote[1568].speaker SPEAKER_21
transcript.pyannote[1568].start 7068.19221875
transcript.pyannote[1568].end 7086.90659375
transcript.pyannote[1569].speaker SPEAKER_20
transcript.pyannote[1569].start 7079.31284375
transcript.pyannote[1569].end 7079.71784375
transcript.pyannote[1570].speaker SPEAKER_27
transcript.pyannote[1570].start 7082.46846875
transcript.pyannote[1570].end 7082.90721875
transcript.pyannote[1571].speaker SPEAKER_27
transcript.pyannote[1571].start 7087.29471875
transcript.pyannote[1571].end 7104.25409375
transcript.pyannote[1572].speaker SPEAKER_27
transcript.pyannote[1572].start 7104.70971875
transcript.pyannote[1572].end 7106.71784375
transcript.pyannote[1573].speaker SPEAKER_21
transcript.pyannote[1573].start 7106.61659375
transcript.pyannote[1573].end 7106.73471875
transcript.pyannote[1574].speaker SPEAKER_27
transcript.pyannote[1574].start 7106.73471875
transcript.pyannote[1574].end 7106.76846875
transcript.pyannote[1575].speaker SPEAKER_21
transcript.pyannote[1575].start 7106.76846875
transcript.pyannote[1575].end 7122.25971875
transcript.pyannote[1576].speaker SPEAKER_27
transcript.pyannote[1576].start 7112.42159375
transcript.pyannote[1576].end 7112.75909375
transcript.pyannote[1577].speaker SPEAKER_21
transcript.pyannote[1577].start 7122.63096875
transcript.pyannote[1577].end 7125.39846875
transcript.pyannote[1578].speaker SPEAKER_27
transcript.pyannote[1578].start 7123.40721875
transcript.pyannote[1578].end 7133.80221875
transcript.pyannote[1579].speaker SPEAKER_21
transcript.pyannote[1579].start 7126.88346875
transcript.pyannote[1579].end 7127.23784375
transcript.pyannote[1580].speaker SPEAKER_21
transcript.pyannote[1580].start 7127.77784375
transcript.pyannote[1580].end 7127.86221875
transcript.pyannote[1581].speaker SPEAKER_27
transcript.pyannote[1581].start 7134.74721875
transcript.pyannote[1581].end 7136.11409375
transcript.pyannote[1582].speaker SPEAKER_27
transcript.pyannote[1582].start 7136.55284375
transcript.pyannote[1582].end 7141.05846875
transcript.pyannote[1583].speaker SPEAKER_27
transcript.pyannote[1583].start 7141.48034375
transcript.pyannote[1583].end 7142.49284375
transcript.pyannote[1584].speaker SPEAKER_27
transcript.pyannote[1584].start 7142.98221875
transcript.pyannote[1584].end 7146.55971875
transcript.pyannote[1585].speaker SPEAKER_27
transcript.pyannote[1585].start 7146.64409375
transcript.pyannote[1585].end 7153.12409375
transcript.pyannote[1586].speaker SPEAKER_27
transcript.pyannote[1586].start 7153.86659375
transcript.pyannote[1586].end 7157.08971875
transcript.pyannote[1587].speaker SPEAKER_27
transcript.pyannote[1587].start 7157.57909375
transcript.pyannote[1587].end 7161.10596875
transcript.pyannote[1588].speaker SPEAKER_27
transcript.pyannote[1588].start 7161.91596875
transcript.pyannote[1588].end 7163.24909375
transcript.pyannote[1589].speaker SPEAKER_27
transcript.pyannote[1589].start 7163.68784375
transcript.pyannote[1589].end 7165.52721875
transcript.pyannote[1590].speaker SPEAKER_27
transcript.pyannote[1590].start 7165.59471875
transcript.pyannote[1590].end 7169.37471875
transcript.pyannote[1591].speaker SPEAKER_27
transcript.pyannote[1591].start 7169.72909375
transcript.pyannote[1591].end 7173.37409375
transcript.pyannote[1592].speaker SPEAKER_27
transcript.pyannote[1592].start 7173.64409375
transcript.pyannote[1592].end 7179.04409375
transcript.pyannote[1593].speaker SPEAKER_27
transcript.pyannote[1593].start 7179.70221875
transcript.pyannote[1593].end 7183.56659375
transcript.pyannote[1594].speaker SPEAKER_27
transcript.pyannote[1594].start 7184.19096875
transcript.pyannote[1594].end 7192.49346875
transcript.pyannote[1595].speaker SPEAKER_27
transcript.pyannote[1595].start 7193.03346875
transcript.pyannote[1595].end 7196.25659375
transcript.pyannote[1596].speaker SPEAKER_27
transcript.pyannote[1596].start 7196.98221875
transcript.pyannote[1596].end 7202.02784375
transcript.pyannote[1597].speaker SPEAKER_27
transcript.pyannote[1597].start 7202.85471875
transcript.pyannote[1597].end 7205.85846875
transcript.pyannote[1598].speaker SPEAKER_27
transcript.pyannote[1598].start 7206.26346875
transcript.pyannote[1598].end 7209.18284375
transcript.pyannote[1599].speaker SPEAKER_27
transcript.pyannote[1599].start 7209.45284375
transcript.pyannote[1599].end 7214.00909375
transcript.pyannote[1600].speaker SPEAKER_27
transcript.pyannote[1600].start 7214.43096875
transcript.pyannote[1600].end 7216.42221875
transcript.pyannote[1601].speaker SPEAKER_27
transcript.pyannote[1601].start 7216.72596875
transcript.pyannote[1601].end 7217.19846875
transcript.pyannote[1602].speaker SPEAKER_27
transcript.pyannote[1602].start 7217.26596875
transcript.pyannote[1602].end 7218.58221875
transcript.pyannote[1603].speaker SPEAKER_21
transcript.pyannote[1603].start 7219.17284375
transcript.pyannote[1603].end 7224.47159375
transcript.pyannote[1604].speaker SPEAKER_21
transcript.pyannote[1604].start 7224.65721875
transcript.pyannote[1604].end 7226.22659375
transcript.pyannote[1605].speaker SPEAKER_21
transcript.pyannote[1605].start 7226.42909375
transcript.pyannote[1605].end 7246.89846875
transcript.pyannote[1606].speaker SPEAKER_08
transcript.pyannote[1606].start 7239.38909375
transcript.pyannote[1606].end 7239.40596875
transcript.pyannote[1607].speaker SPEAKER_27
transcript.pyannote[1607].start 7239.40596875
transcript.pyannote[1607].end 7241.17784375
transcript.pyannote[1608].speaker SPEAKER_27
transcript.pyannote[1608].start 7243.67534375
transcript.pyannote[1608].end 7246.71284375
transcript.pyannote[1609].speaker SPEAKER_27
transcript.pyannote[1609].start 7246.89846875
transcript.pyannote[1609].end 7246.93221875
transcript.pyannote[1610].speaker SPEAKER_21
transcript.pyannote[1610].start 7246.93221875
transcript.pyannote[1610].end 7247.16846875
transcript.pyannote[1611].speaker SPEAKER_27
transcript.pyannote[1611].start 7247.16846875
transcript.pyannote[1611].end 7247.18534375
transcript.pyannote[1612].speaker SPEAKER_21
transcript.pyannote[1612].start 7247.18534375
transcript.pyannote[1612].end 7250.99909375
transcript.pyannote[1613].speaker SPEAKER_27
transcript.pyannote[1613].start 7247.25284375
transcript.pyannote[1613].end 7248.02909375
transcript.pyannote[1614].speaker SPEAKER_27
transcript.pyannote[1614].start 7248.48471875
transcript.pyannote[1614].end 7249.02471875
transcript.pyannote[1615].speaker SPEAKER_20
transcript.pyannote[1615].start 7249.02471875
transcript.pyannote[1615].end 7249.49721875
transcript.pyannote[1616].speaker SPEAKER_27
transcript.pyannote[1616].start 7249.49721875
transcript.pyannote[1616].end 7249.54784375
transcript.pyannote[1617].speaker SPEAKER_20
transcript.pyannote[1617].start 7249.54784375
transcript.pyannote[1617].end 7249.91909375
transcript.pyannote[1618].speaker SPEAKER_27
transcript.pyannote[1618].start 7249.91909375
transcript.pyannote[1618].end 7249.98659375
transcript.pyannote[1619].speaker SPEAKER_21
transcript.pyannote[1619].start 7251.06659375
transcript.pyannote[1619].end 7255.58909375
transcript.pyannote[1620].speaker SPEAKER_27
transcript.pyannote[1620].start 7252.48409375
transcript.pyannote[1620].end 7253.69909375
transcript.pyannote[1621].speaker SPEAKER_20
transcript.pyannote[1621].start 7253.69909375
transcript.pyannote[1621].end 7254.49221875
transcript.pyannote[1622].speaker SPEAKER_21
transcript.pyannote[1622].start 7255.82534375
transcript.pyannote[1622].end 7271.13096875
transcript.pyannote[1623].speaker SPEAKER_21
transcript.pyannote[1623].start 7271.40096875
transcript.pyannote[1623].end 7273.86471875
transcript.pyannote[1624].speaker SPEAKER_21
transcript.pyannote[1624].start 7274.79284375
transcript.pyannote[1624].end 7277.59409375
transcript.pyannote[1625].speaker SPEAKER_21
transcript.pyannote[1625].start 7277.93159375
transcript.pyannote[1625].end 7280.71596875
transcript.pyannote[1626].speaker SPEAKER_21
transcript.pyannote[1626].start 7281.61034375
transcript.pyannote[1626].end 7296.69659375
transcript.pyannote[1627].speaker SPEAKER_27
transcript.pyannote[1627].start 7284.02346875
transcript.pyannote[1627].end 7284.90096875
transcript.pyannote[1628].speaker SPEAKER_27
transcript.pyannote[1628].start 7295.53221875
transcript.pyannote[1628].end 7298.78909375
transcript.pyannote[1629].speaker SPEAKER_27
transcript.pyannote[1629].start 7299.19409375
transcript.pyannote[1629].end 7305.80909375
transcript.pyannote[1630].speaker SPEAKER_25
transcript.pyannote[1630].start 7304.66159375
transcript.pyannote[1630].end 7304.74596875
transcript.pyannote[1631].speaker SPEAKER_27
transcript.pyannote[1631].start 7305.94409375
transcript.pyannote[1631].end 7311.15846875
transcript.pyannote[1632].speaker SPEAKER_27
transcript.pyannote[1632].start 7311.69846875
transcript.pyannote[1632].end 7318.12784375
transcript.pyannote[1633].speaker SPEAKER_27
transcript.pyannote[1633].start 7318.36409375
transcript.pyannote[1633].end 7323.39284375
transcript.pyannote[1634].speaker SPEAKER_27
transcript.pyannote[1634].start 7323.74721875
transcript.pyannote[1634].end 7327.18971875
transcript.pyannote[1635].speaker SPEAKER_27
transcript.pyannote[1635].start 7327.27409375
transcript.pyannote[1635].end 7327.67909375
transcript.pyannote[1636].speaker SPEAKER_27
transcript.pyannote[1636].start 7328.16846875
transcript.pyannote[1636].end 7329.56909375
transcript.pyannote[1637].speaker SPEAKER_27
transcript.pyannote[1637].start 7329.72096875
transcript.pyannote[1637].end 7342.71471875
transcript.pyannote[1638].speaker SPEAKER_21
transcript.pyannote[1638].start 7343.30534375
transcript.pyannote[1638].end 7348.14846875
transcript.pyannote[1639].speaker SPEAKER_27
transcript.pyannote[1639].start 7347.69284375
transcript.pyannote[1639].end 7348.63784375
transcript.pyannote[1640].speaker SPEAKER_21
transcript.pyannote[1640].start 7348.63784375
transcript.pyannote[1640].end 7348.73909375
transcript.pyannote[1641].speaker SPEAKER_27
transcript.pyannote[1641].start 7348.73909375
transcript.pyannote[1641].end 7348.78971875
transcript.pyannote[1642].speaker SPEAKER_21
transcript.pyannote[1642].start 7348.78971875
transcript.pyannote[1642].end 7348.84034375
transcript.pyannote[1643].speaker SPEAKER_27
transcript.pyannote[1643].start 7349.68409375
transcript.pyannote[1643].end 7363.25159375
transcript.pyannote[1644].speaker SPEAKER_27
transcript.pyannote[1644].start 7363.65659375
transcript.pyannote[1644].end 7367.31846875
transcript.pyannote[1645].speaker SPEAKER_27
transcript.pyannote[1645].start 7367.79096875
transcript.pyannote[1645].end 7371.48659375
transcript.pyannote[1646].speaker SPEAKER_27
transcript.pyannote[1646].start 7372.07721875
transcript.pyannote[1646].end 7374.11909375
transcript.pyannote[1647].speaker SPEAKER_27
transcript.pyannote[1647].start 7374.40596875
transcript.pyannote[1647].end 7383.11346875
transcript.pyannote[1648].speaker SPEAKER_27
transcript.pyannote[1648].start 7383.40034375
transcript.pyannote[1648].end 7393.89659375
transcript.pyannote[1649].speaker SPEAKER_27
transcript.pyannote[1649].start 7394.16659375
transcript.pyannote[1649].end 7396.02284375
transcript.pyannote[1650].speaker SPEAKER_27
transcript.pyannote[1650].start 7396.34346875
transcript.pyannote[1650].end 7397.55846875
transcript.pyannote[1651].speaker SPEAKER_27
transcript.pyannote[1651].start 7397.96346875
transcript.pyannote[1651].end 7402.13159375
transcript.pyannote[1652].speaker SPEAKER_27
transcript.pyannote[1652].start 7402.30034375
transcript.pyannote[1652].end 7402.82346875
transcript.pyannote[1653].speaker SPEAKER_27
transcript.pyannote[1653].start 7403.46471875
transcript.pyannote[1653].end 7409.13471875
transcript.pyannote[1654].speaker SPEAKER_27
transcript.pyannote[1654].start 7409.48909375
transcript.pyannote[1654].end 7415.32784375
transcript.pyannote[1655].speaker SPEAKER_27
transcript.pyannote[1655].start 7415.44596875
transcript.pyannote[1655].end 7415.91846875
transcript.pyannote[1656].speaker SPEAKER_27
transcript.pyannote[1656].start 7416.98159375
transcript.pyannote[1656].end 7418.68596875
transcript.pyannote[1657].speaker SPEAKER_27
transcript.pyannote[1657].start 7418.75346875
transcript.pyannote[1657].end 7422.44909375
transcript.pyannote[1658].speaker SPEAKER_21
transcript.pyannote[1658].start 7423.05659375
transcript.pyannote[1658].end 7424.67659375
transcript.pyannote[1659].speaker SPEAKER_21
transcript.pyannote[1659].start 7426.97159375
transcript.pyannote[1659].end 7428.82784375
transcript.pyannote[1660].speaker SPEAKER_27
transcript.pyannote[1660].start 7428.82784375
transcript.pyannote[1660].end 7435.71284375
transcript.pyannote[1661].speaker SPEAKER_21
transcript.pyannote[1661].start 7436.47221875
transcript.pyannote[1661].end 7443.27284375
transcript.pyannote[1662].speaker SPEAKER_27
transcript.pyannote[1662].start 7443.81284375
transcript.pyannote[1662].end 7447.23846875
transcript.pyannote[1663].speaker SPEAKER_21
transcript.pyannote[1663].start 7447.23846875
transcript.pyannote[1663].end 7470.20534375
transcript.pyannote[1664].speaker SPEAKER_00
transcript.pyannote[1664].start 7459.08471875
transcript.pyannote[1664].end 7459.11846875
transcript.pyannote[1665].speaker SPEAKER_10
transcript.pyannote[1665].start 7459.11846875
transcript.pyannote[1665].end 7459.16909375
transcript.pyannote[1666].speaker SPEAKER_20
transcript.pyannote[1666].start 7459.16909375
transcript.pyannote[1666].end 7459.43909375
transcript.pyannote[1667].speaker SPEAKER_00
transcript.pyannote[1667].start 7459.43909375
transcript.pyannote[1667].end 7459.45596875
transcript.pyannote[1668].speaker SPEAKER_27
transcript.pyannote[1668].start 7466.52659375
transcript.pyannote[1668].end 7467.55596875
transcript.pyannote[1669].speaker SPEAKER_27
transcript.pyannote[1669].start 7468.55159375
transcript.pyannote[1669].end 7480.36409375
transcript.pyannote[1670].speaker SPEAKER_27
transcript.pyannote[1670].start 7480.46534375
transcript.pyannote[1670].end 7490.70846875
transcript.pyannote[1671].speaker SPEAKER_27
transcript.pyannote[1671].start 7491.06284375
transcript.pyannote[1671].end 7496.58096875
transcript.pyannote[1672].speaker SPEAKER_21
transcript.pyannote[1672].start 7495.48409375
transcript.pyannote[1672].end 7501.79534375
transcript.pyannote[1673].speaker SPEAKER_21
transcript.pyannote[1673].start 7502.25096875
transcript.pyannote[1673].end 7502.80784375
transcript.pyannote[1674].speaker SPEAKER_21
transcript.pyannote[1674].start 7502.92596875
transcript.pyannote[1674].end 7519.54784375
transcript.pyannote[1675].speaker SPEAKER_27
transcript.pyannote[1675].start 7518.72096875
transcript.pyannote[1675].end 7519.83471875
transcript.pyannote[1676].speaker SPEAKER_21
transcript.pyannote[1676].start 7519.83471875
transcript.pyannote[1676].end 7522.60221875
transcript.pyannote[1677].speaker SPEAKER_27
transcript.pyannote[1677].start 7521.84284375
transcript.pyannote[1677].end 7522.14659375
transcript.pyannote[1678].speaker SPEAKER_27
transcript.pyannote[1678].start 7522.75409375
transcript.pyannote[1678].end 7543.72971875
transcript.pyannote[1679].speaker SPEAKER_27
transcript.pyannote[1679].start 7544.30346875
transcript.pyannote[1679].end 7549.99034375
transcript.pyannote[1680].speaker SPEAKER_27
transcript.pyannote[1680].start 7550.51346875
transcript.pyannote[1680].end 7557.24659375
transcript.pyannote[1681].speaker SPEAKER_27
transcript.pyannote[1681].start 7557.43221875
transcript.pyannote[1681].end 7558.17471875
transcript.pyannote[1682].speaker SPEAKER_27
transcript.pyannote[1682].start 7558.57971875
transcript.pyannote[1682].end 7560.75659375
transcript.pyannote[1683].speaker SPEAKER_21
transcript.pyannote[1683].start 7560.75659375
transcript.pyannote[1683].end 7562.32596875
transcript.pyannote[1684].speaker SPEAKER_21
transcript.pyannote[1684].start 7562.52846875
transcript.pyannote[1684].end 7567.62471875
transcript.pyannote[1685].speaker SPEAKER_27
transcript.pyannote[1685].start 7567.05096875
transcript.pyannote[1685].end 7574.83034375
transcript.pyannote[1686].speaker SPEAKER_27
transcript.pyannote[1686].start 7575.20159375
transcript.pyannote[1686].end 7576.06221875
transcript.pyannote[1687].speaker SPEAKER_27
transcript.pyannote[1687].start 7576.45034375
transcript.pyannote[1687].end 7576.93971875
transcript.pyannote[1688].speaker SPEAKER_27
transcript.pyannote[1688].start 7577.41221875
transcript.pyannote[1688].end 7583.21721875
transcript.pyannote[1689].speaker SPEAKER_27
transcript.pyannote[1689].start 7583.53784375
transcript.pyannote[1689].end 7590.32159375
transcript.pyannote[1690].speaker SPEAKER_27
transcript.pyannote[1690].start 7591.48596875
transcript.pyannote[1690].end 7591.89096875
transcript.pyannote[1691].speaker SPEAKER_27
transcript.pyannote[1691].start 7592.51534375
transcript.pyannote[1691].end 7598.37096875
transcript.pyannote[1692].speaker SPEAKER_27
transcript.pyannote[1692].start 7598.52284375
transcript.pyannote[1692].end 7605.55971875
transcript.pyannote[1693].speaker SPEAKER_27
transcript.pyannote[1693].start 7605.82971875
transcript.pyannote[1693].end 7630.18034375
transcript.pyannote[1694].speaker SPEAKER_21
transcript.pyannote[1694].start 7629.58971875
transcript.pyannote[1694].end 7630.46721875
transcript.pyannote[1695].speaker SPEAKER_27
transcript.pyannote[1695].start 7630.56846875
transcript.pyannote[1695].end 7636.96409375
transcript.pyannote[1696].speaker SPEAKER_17
transcript.pyannote[1696].start 7638.09471875
transcript.pyannote[1696].end 7640.23784375
transcript.pyannote[1697].speaker SPEAKER_27
transcript.pyannote[1697].start 7654.88534375
transcript.pyannote[1697].end 7655.12159375
transcript.pyannote[1698].speaker SPEAKER_27
transcript.pyannote[1698].start 7655.72909375
transcript.pyannote[1698].end 7658.41221875
transcript.pyannote[1699].speaker SPEAKER_17
transcript.pyannote[1699].start 7666.41096875
transcript.pyannote[1699].end 7666.88346875
transcript.pyannote[1700].speaker SPEAKER_17
transcript.pyannote[1700].start 7667.25471875
transcript.pyannote[1700].end 7670.20784375
transcript.pyannote[1701].speaker SPEAKER_27
transcript.pyannote[1701].start 7670.73096875
transcript.pyannote[1701].end 7671.60846875
transcript.pyannote[1702].speaker SPEAKER_17
transcript.pyannote[1702].start 7678.59471875
transcript.pyannote[1702].end 7678.84784375
transcript.pyannote[1703].speaker SPEAKER_25
transcript.pyannote[1703].start 7678.84784375
transcript.pyannote[1703].end 7679.42159375
transcript.pyannote[1704].speaker SPEAKER_17
transcript.pyannote[1704].start 7679.64096875
transcript.pyannote[1704].end 7680.68721875
transcript.pyannote[1705].speaker SPEAKER_17
transcript.pyannote[1705].start 7681.04159375
transcript.pyannote[1705].end 7682.52659375
transcript.pyannote[1706].speaker SPEAKER_17
transcript.pyannote[1706].start 7682.99909375
transcript.pyannote[1706].end 7684.06221875
transcript.pyannote[1707].speaker SPEAKER_17
transcript.pyannote[1707].start 7684.50096875
transcript.pyannote[1707].end 7685.36159375
transcript.pyannote[1708].speaker SPEAKER_17
transcript.pyannote[1708].start 7685.56409375
transcript.pyannote[1708].end 7686.74534375
transcript.pyannote[1709].speaker SPEAKER_17
transcript.pyannote[1709].start 7687.57221875
transcript.pyannote[1709].end 7688.66909375
transcript.pyannote[1710].speaker SPEAKER_17
transcript.pyannote[1710].start 7689.56346875
transcript.pyannote[1710].end 7696.63409375
transcript.pyannote[1711].speaker SPEAKER_17
transcript.pyannote[1711].start 7697.37659375
transcript.pyannote[1711].end 7701.24096875
transcript.pyannote[1712].speaker SPEAKER_17
transcript.pyannote[1712].start 7701.84846875
transcript.pyannote[1712].end 7703.09721875
transcript.pyannote[1713].speaker SPEAKER_17
transcript.pyannote[1713].start 7703.45159375
transcript.pyannote[1713].end 7704.26159375
transcript.pyannote[1714].speaker SPEAKER_17
transcript.pyannote[1714].start 7705.03784375
transcript.pyannote[1714].end 7707.23159375
transcript.pyannote[1715].speaker SPEAKER_25
transcript.pyannote[1715].start 7708.46346875
transcript.pyannote[1715].end 7712.98596875
transcript.pyannote[1716].speaker SPEAKER_17
transcript.pyannote[1716].start 7712.91846875
transcript.pyannote[1716].end 7713.27284375
transcript.pyannote[1717].speaker SPEAKER_25
transcript.pyannote[1717].start 7713.01971875
transcript.pyannote[1717].end 7713.61034375
transcript.pyannote[1718].speaker SPEAKER_17
transcript.pyannote[1718].start 7714.11659375
transcript.pyannote[1718].end 7715.85471875
transcript.pyannote[1719].speaker SPEAKER_17
transcript.pyannote[1719].start 7716.52971875
transcript.pyannote[1719].end 7717.54221875
transcript.pyannote[1720].speaker SPEAKER_17
transcript.pyannote[1720].start 7718.14971875
transcript.pyannote[1720].end 7719.71909375
transcript.pyannote[1721].speaker SPEAKER_25
transcript.pyannote[1721].start 7718.23409375
transcript.pyannote[1721].end 7718.26784375
transcript.pyannote[1722].speaker SPEAKER_17
transcript.pyannote[1722].start 7719.92159375
transcript.pyannote[1722].end 7722.01409375
transcript.pyannote[1723].speaker SPEAKER_25
transcript.pyannote[1723].start 7720.59659375
transcript.pyannote[1723].end 7721.15346875
transcript.pyannote[1724].speaker SPEAKER_17
transcript.pyannote[1724].start 7722.92534375
transcript.pyannote[1724].end 7724.17409375
transcript.pyannote[1725].speaker SPEAKER_17
transcript.pyannote[1725].start 7724.62971875
transcript.pyannote[1725].end 7725.03471875
transcript.pyannote[1726].speaker SPEAKER_25
transcript.pyannote[1726].start 7725.03471875
transcript.pyannote[1726].end 7725.49034375
transcript.pyannote[1727].speaker SPEAKER_17
transcript.pyannote[1727].start 7725.49034375
transcript.pyannote[1727].end 7726.62096875
transcript.pyannote[1728].speaker SPEAKER_25
transcript.pyannote[1728].start 7726.62096875
transcript.pyannote[1728].end 7727.85284375
transcript.pyannote[1729].speaker SPEAKER_25
transcript.pyannote[1729].start 7727.93721875
transcript.pyannote[1729].end 7728.27471875
transcript.pyannote[1730].speaker SPEAKER_17
transcript.pyannote[1730].start 7728.47721875
transcript.pyannote[1730].end 7730.09721875
transcript.pyannote[1731].speaker SPEAKER_17
transcript.pyannote[1731].start 7730.26596875
transcript.pyannote[1731].end 7732.79721875
transcript.pyannote[1732].speaker SPEAKER_17
transcript.pyannote[1732].start 7732.94909375
transcript.pyannote[1732].end 7734.06284375
transcript.pyannote[1733].speaker SPEAKER_17
transcript.pyannote[1733].start 7734.31596875
transcript.pyannote[1733].end 7734.80534375
transcript.pyannote[1734].speaker SPEAKER_17
transcript.pyannote[1734].start 7735.10909375
transcript.pyannote[1734].end 7739.41221875
transcript.pyannote[1735].speaker SPEAKER_17
transcript.pyannote[1735].start 7739.76659375
transcript.pyannote[1735].end 7741.15034375
transcript.pyannote[1736].speaker SPEAKER_17
transcript.pyannote[1736].start 7741.99409375
transcript.pyannote[1736].end 7742.60159375
transcript.pyannote[1737].speaker SPEAKER_25
transcript.pyannote[1737].start 7742.07846875
transcript.pyannote[1737].end 7745.75721875
transcript.pyannote[1738].speaker SPEAKER_17
transcript.pyannote[1738].start 7746.29721875
transcript.pyannote[1738].end 7749.48659375
transcript.pyannote[1739].speaker SPEAKER_25
transcript.pyannote[1739].start 7746.39846875
transcript.pyannote[1739].end 7746.80346875
transcript.pyannote[1740].speaker SPEAKER_25
transcript.pyannote[1740].start 7749.48659375
transcript.pyannote[1740].end 7752.87846875
transcript.pyannote[1741].speaker SPEAKER_25
transcript.pyannote[1741].start 7753.28346875
transcript.pyannote[1741].end 7756.16909375
transcript.pyannote[1742].speaker SPEAKER_25
transcript.pyannote[1742].start 7756.62471875
transcript.pyannote[1742].end 7758.58221875
transcript.pyannote[1743].speaker SPEAKER_25
transcript.pyannote[1743].start 7759.10534375
transcript.pyannote[1743].end 7764.33659375
transcript.pyannote[1744].speaker SPEAKER_20
transcript.pyannote[1744].start 7764.42096875
transcript.pyannote[1744].end 7764.89346875
transcript.pyannote[1745].speaker SPEAKER_25
transcript.pyannote[1745].start 7764.87659375
transcript.pyannote[1745].end 7780.75596875
transcript.pyannote[1746].speaker SPEAKER_00
transcript.pyannote[1746].start 7773.14534375
transcript.pyannote[1746].end 7773.36471875
transcript.pyannote[1747].speaker SPEAKER_00
transcript.pyannote[1747].start 7773.49971875
transcript.pyannote[1747].end 7773.51659375
transcript.pyannote[1748].speaker SPEAKER_25
transcript.pyannote[1748].start 7781.54909375
transcript.pyannote[1748].end 7782.96659375
transcript.pyannote[1749].speaker SPEAKER_17
transcript.pyannote[1749].start 7782.96659375
transcript.pyannote[1749].end 7783.03409375
transcript.pyannote[1750].speaker SPEAKER_25
transcript.pyannote[1750].start 7783.03409375
transcript.pyannote[1750].end 7783.96221875
transcript.pyannote[1751].speaker SPEAKER_17
transcript.pyannote[1751].start 7783.96221875
transcript.pyannote[1751].end 7784.11409375
transcript.pyannote[1752].speaker SPEAKER_25
transcript.pyannote[1752].start 7784.11409375
transcript.pyannote[1752].end 7784.23221875
transcript.pyannote[1753].speaker SPEAKER_17
transcript.pyannote[1753].start 7784.23221875
transcript.pyannote[1753].end 7788.82221875
transcript.pyannote[1754].speaker SPEAKER_25
transcript.pyannote[1754].start 7784.92409375
transcript.pyannote[1754].end 7789.68284375
transcript.pyannote[1755].speaker SPEAKER_25
transcript.pyannote[1755].start 7789.96971875
transcript.pyannote[1755].end 7790.17221875
transcript.pyannote[1756].speaker SPEAKER_25
transcript.pyannote[1756].start 7790.56034375
transcript.pyannote[1756].end 7799.28471875
transcript.pyannote[1757].speaker SPEAKER_25
transcript.pyannote[1757].start 7799.90909375
transcript.pyannote[1757].end 7806.65909375
transcript.pyannote[1758].speaker SPEAKER_25
transcript.pyannote[1758].start 7807.13159375
transcript.pyannote[1758].end 7813.03784375
transcript.pyannote[1759].speaker SPEAKER_25
transcript.pyannote[1759].start 7813.13909375
transcript.pyannote[1759].end 7819.78784375
transcript.pyannote[1760].speaker SPEAKER_17
transcript.pyannote[1760].start 7820.66534375
transcript.pyannote[1760].end 7823.85471875
transcript.pyannote[1761].speaker SPEAKER_17
transcript.pyannote[1761].start 7824.98534375
transcript.pyannote[1761].end 7844.44221875
transcript.pyannote[1762].speaker SPEAKER_17
transcript.pyannote[1762].start 7845.15096875
transcript.pyannote[1762].end 7848.91409375
transcript.pyannote[1763].speaker SPEAKER_25
transcript.pyannote[1763].start 7849.58909375
transcript.pyannote[1763].end 7862.97096875
transcript.pyannote[1764].speaker SPEAKER_17
transcript.pyannote[1764].start 7853.97659375
transcript.pyannote[1764].end 7854.70221875
transcript.pyannote[1765].speaker SPEAKER_17
transcript.pyannote[1765].start 7862.38034375
transcript.pyannote[1765].end 7863.94971875
transcript.pyannote[1766].speaker SPEAKER_25
transcript.pyannote[1766].start 7863.25784375
transcript.pyannote[1766].end 7864.69221875
transcript.pyannote[1767].speaker SPEAKER_17
transcript.pyannote[1767].start 7864.62471875
transcript.pyannote[1767].end 7864.65846875
transcript.pyannote[1768].speaker SPEAKER_17
transcript.pyannote[1768].start 7864.69221875
transcript.pyannote[1768].end 7873.61909375
transcript.pyannote[1769].speaker SPEAKER_25
transcript.pyannote[1769].start 7865.26596875
transcript.pyannote[1769].end 7866.41346875
transcript.pyannote[1770].speaker SPEAKER_17
transcript.pyannote[1770].start 7874.39534375
transcript.pyannote[1770].end 7876.03221875
transcript.pyannote[1771].speaker SPEAKER_25
transcript.pyannote[1771].start 7876.03221875
transcript.pyannote[1771].end 7876.20096875
transcript.pyannote[1772].speaker SPEAKER_17
transcript.pyannote[1772].start 7876.20096875
transcript.pyannote[1772].end 7876.23471875
transcript.pyannote[1773].speaker SPEAKER_25
transcript.pyannote[1773].start 7876.23471875
transcript.pyannote[1773].end 7876.31909375
transcript.pyannote[1774].speaker SPEAKER_17
transcript.pyannote[1774].start 7876.31909375
transcript.pyannote[1774].end 7876.82534375
transcript.pyannote[1775].speaker SPEAKER_25
transcript.pyannote[1775].start 7878.02346875
transcript.pyannote[1775].end 7886.08971875
transcript.pyannote[1776].speaker SPEAKER_25
transcript.pyannote[1776].start 7886.37659375
transcript.pyannote[1776].end 7890.13971875
transcript.pyannote[1777].speaker SPEAKER_25
transcript.pyannote[1777].start 7890.57846875
transcript.pyannote[1777].end 7892.21534375
transcript.pyannote[1778].speaker SPEAKER_17
transcript.pyannote[1778].start 7892.65409375
transcript.pyannote[1778].end 7895.92784375
transcript.pyannote[1779].speaker SPEAKER_25
transcript.pyannote[1779].start 7895.03346875
transcript.pyannote[1779].end 7898.59409375
transcript.pyannote[1780].speaker SPEAKER_25
transcript.pyannote[1780].start 7898.77971875
transcript.pyannote[1780].end 7909.96784375
transcript.pyannote[1781].speaker SPEAKER_25
transcript.pyannote[1781].start 7910.33909375
transcript.pyannote[1781].end 7912.88721875
transcript.pyannote[1782].speaker SPEAKER_17
transcript.pyannote[1782].start 7913.24159375
transcript.pyannote[1782].end 7933.03596875
transcript.pyannote[1783].speaker SPEAKER_25
transcript.pyannote[1783].start 7918.18596875
transcript.pyannote[1783].end 7918.86096875
transcript.pyannote[1784].speaker SPEAKER_25
transcript.pyannote[1784].start 7919.24909375
transcript.pyannote[1784].end 7921.94909375
transcript.pyannote[1785].speaker SPEAKER_25
transcript.pyannote[1785].start 7925.62784375
transcript.pyannote[1785].end 7925.71221875
transcript.pyannote[1786].speaker SPEAKER_00
transcript.pyannote[1786].start 7925.71221875
transcript.pyannote[1786].end 7925.96534375
transcript.pyannote[1787].speaker SPEAKER_25
transcript.pyannote[1787].start 7933.03596875
transcript.pyannote[1787].end 7933.13721875
transcript.pyannote[1788].speaker SPEAKER_17
transcript.pyannote[1788].start 7933.13721875
transcript.pyannote[1788].end 7933.27221875
transcript.pyannote[1789].speaker SPEAKER_17
transcript.pyannote[1789].start 7933.57596875
transcript.pyannote[1789].end 7933.64346875
transcript.pyannote[1790].speaker SPEAKER_25
transcript.pyannote[1790].start 7933.64346875
transcript.pyannote[1790].end 7947.43034375
transcript.pyannote[1791].speaker SPEAKER_17
transcript.pyannote[1791].start 7935.90471875
transcript.pyannote[1791].end 7936.74846875
transcript.pyannote[1792].speaker SPEAKER_17
transcript.pyannote[1792].start 7939.00971875
transcript.pyannote[1792].end 7939.41471875
transcript.pyannote[1793].speaker SPEAKER_17
transcript.pyannote[1793].start 7939.73534375
transcript.pyannote[1793].end 7939.83659375
transcript.pyannote[1794].speaker SPEAKER_25
transcript.pyannote[1794].start 7948.29096875
transcript.pyannote[1794].end 7953.70784375
transcript.pyannote[1795].speaker SPEAKER_25
transcript.pyannote[1795].start 7953.92721875
transcript.pyannote[1795].end 7957.62284375
transcript.pyannote[1796].speaker SPEAKER_20
transcript.pyannote[1796].start 7957.62284375
transcript.pyannote[1796].end 7957.65659375
transcript.pyannote[1797].speaker SPEAKER_17
transcript.pyannote[1797].start 7957.65659375
transcript.pyannote[1797].end 7957.94346875
transcript.pyannote[1798].speaker SPEAKER_20
transcript.pyannote[1798].start 7957.94346875
transcript.pyannote[1798].end 7957.97721875
transcript.pyannote[1799].speaker SPEAKER_25
transcript.pyannote[1799].start 7957.94346875
transcript.pyannote[1799].end 7960.18784375
transcript.pyannote[1800].speaker SPEAKER_17
transcript.pyannote[1800].start 7957.97721875
transcript.pyannote[1800].end 7958.01096875
transcript.pyannote[1801].speaker SPEAKER_20
transcript.pyannote[1801].start 7958.01096875
transcript.pyannote[1801].end 7958.04471875
transcript.pyannote[1802].speaker SPEAKER_17
transcript.pyannote[1802].start 7960.05284375
transcript.pyannote[1802].end 7960.40721875
transcript.pyannote[1803].speaker SPEAKER_17
transcript.pyannote[1803].start 7960.89659375
transcript.pyannote[1803].end 7961.25096875
transcript.pyannote[1804].speaker SPEAKER_17
transcript.pyannote[1804].start 7961.58846875
transcript.pyannote[1804].end 7963.61346875
transcript.pyannote[1805].speaker SPEAKER_25
transcript.pyannote[1805].start 7964.40659375
transcript.pyannote[1805].end 7968.06846875
transcript.pyannote[1806].speaker SPEAKER_17
transcript.pyannote[1806].start 7968.06846875
transcript.pyannote[1806].end 7968.38909375
transcript.pyannote[1807].speaker SPEAKER_25
transcript.pyannote[1807].start 7968.23721875
transcript.pyannote[1807].end 7968.67596875
transcript.pyannote[1808].speaker SPEAKER_20
transcript.pyannote[1808].start 7968.38909375
transcript.pyannote[1808].end 7968.40596875
transcript.pyannote[1809].speaker SPEAKER_25
transcript.pyannote[1809].start 7969.04721875
transcript.pyannote[1809].end 7970.31284375
transcript.pyannote[1810].speaker SPEAKER_25
transcript.pyannote[1810].start 7970.73471875
transcript.pyannote[1810].end 7976.80971875
transcript.pyannote[1811].speaker SPEAKER_25
transcript.pyannote[1811].start 7976.92784375
transcript.pyannote[1811].end 7980.97784375
transcript.pyannote[1812].speaker SPEAKER_17
transcript.pyannote[1812].start 7976.97846875
transcript.pyannote[1812].end 7980.79221875
transcript.pyannote[1813].speaker SPEAKER_17
transcript.pyannote[1813].start 7980.97784375
transcript.pyannote[1813].end 7981.61909375
transcript.pyannote[1814].speaker SPEAKER_25
transcript.pyannote[1814].start 7981.61909375
transcript.pyannote[1814].end 7981.66971875
transcript.pyannote[1815].speaker SPEAKER_17
transcript.pyannote[1815].start 7981.66971875
transcript.pyannote[1815].end 7981.68659375
transcript.pyannote[1816].speaker SPEAKER_25
transcript.pyannote[1816].start 7981.68659375
transcript.pyannote[1816].end 7981.85534375
transcript.pyannote[1817].speaker SPEAKER_17
transcript.pyannote[1817].start 7981.85534375
transcript.pyannote[1817].end 7982.02409375
transcript.pyannote[1818].speaker SPEAKER_25
transcript.pyannote[1818].start 7983.64409375
transcript.pyannote[1818].end 7987.23846875
transcript.pyannote[1819].speaker SPEAKER_25
transcript.pyannote[1819].start 7987.52534375
transcript.pyannote[1819].end 7988.72346875
transcript.pyannote[1820].speaker SPEAKER_25
transcript.pyannote[1820].start 7989.38159375
transcript.pyannote[1820].end 7992.84096875
transcript.pyannote[1821].speaker SPEAKER_17
transcript.pyannote[1821].start 7990.56284375
transcript.pyannote[1821].end 7993.92096875
transcript.pyannote[1822].speaker SPEAKER_25
transcript.pyannote[1822].start 7994.73096875
transcript.pyannote[1822].end 8000.83971875
transcript.pyannote[1823].speaker SPEAKER_17
transcript.pyannote[1823].start 7998.81471875
transcript.pyannote[1823].end 7999.75971875
transcript.pyannote[1824].speaker SPEAKER_17
transcript.pyannote[1824].start 8000.83971875
transcript.pyannote[1824].end 8000.85659375
transcript.pyannote[1825].speaker SPEAKER_25
transcript.pyannote[1825].start 8001.51471875
transcript.pyannote[1825].end 8005.98659375
transcript.pyannote[1826].speaker SPEAKER_17
transcript.pyannote[1826].start 8001.75096875
transcript.pyannote[1826].end 8001.85221875
transcript.pyannote[1827].speaker SPEAKER_17
transcript.pyannote[1827].start 8002.86471875
transcript.pyannote[1827].end 8004.94034375
transcript.pyannote[1828].speaker SPEAKER_17
transcript.pyannote[1828].start 8006.05409375
transcript.pyannote[1828].end 8008.24784375
transcript.pyannote[1829].speaker SPEAKER_25
transcript.pyannote[1829].start 8007.43784375
transcript.pyannote[1829].end 8011.11659375
transcript.pyannote[1830].speaker SPEAKER_17
transcript.pyannote[1830].start 8011.52159375
transcript.pyannote[1830].end 8015.09909375
transcript.pyannote[1831].speaker SPEAKER_17
transcript.pyannote[1831].start 8015.43659375
transcript.pyannote[1831].end 8017.79909375
transcript.pyannote[1832].speaker SPEAKER_17
transcript.pyannote[1832].start 8017.91721875
transcript.pyannote[1832].end 8018.64284375
transcript.pyannote[1833].speaker SPEAKER_17
transcript.pyannote[1833].start 8019.30096875
transcript.pyannote[1833].end 8020.21221875
transcript.pyannote[1834].speaker SPEAKER_25
transcript.pyannote[1834].start 8022.00096875
transcript.pyannote[1834].end 8023.85721875
transcript.pyannote[1835].speaker SPEAKER_17
transcript.pyannote[1835].start 8023.99221875
transcript.pyannote[1835].end 8025.03846875
transcript.pyannote[1836].speaker SPEAKER_25
transcript.pyannote[1836].start 8025.03846875
transcript.pyannote[1836].end 8025.07221875
transcript.pyannote[1837].speaker SPEAKER_17
transcript.pyannote[1837].start 8025.07221875
transcript.pyannote[1837].end 8025.10596875
transcript.pyannote[1838].speaker SPEAKER_25
transcript.pyannote[1838].start 8025.10596875
transcript.pyannote[1838].end 8026.28721875
transcript.pyannote[1839].speaker SPEAKER_25
transcript.pyannote[1839].start 8026.59096875
transcript.pyannote[1839].end 8029.51034375
transcript.pyannote[1840].speaker SPEAKER_17
transcript.pyannote[1840].start 8028.83534375
transcript.pyannote[1840].end 8028.93659375
transcript.pyannote[1841].speaker SPEAKER_17
transcript.pyannote[1841].start 8030.13471875
transcript.pyannote[1841].end 8034.64034375
transcript.pyannote[1842].speaker SPEAKER_17
transcript.pyannote[1842].start 8035.28159375
transcript.pyannote[1842].end 8036.56409375
transcript.pyannote[1843].speaker SPEAKER_17
transcript.pyannote[1843].start 8036.90159375
transcript.pyannote[1843].end 8037.23909375
transcript.pyannote[1844].speaker SPEAKER_17
transcript.pyannote[1844].start 8037.55971875
transcript.pyannote[1844].end 8044.24221875
transcript.pyannote[1845].speaker SPEAKER_25
transcript.pyannote[1845].start 8044.71471875
transcript.pyannote[1845].end 8050.21596875
transcript.pyannote[1846].speaker SPEAKER_17
transcript.pyannote[1846].start 8049.25409375
transcript.pyannote[1846].end 8049.79409375
transcript.pyannote[1847].speaker SPEAKER_17
transcript.pyannote[1847].start 8050.51971875
transcript.pyannote[1847].end 8053.42221875
transcript.pyannote[1848].speaker SPEAKER_07
transcript.pyannote[1848].start 8054.24909375
transcript.pyannote[1848].end 8056.32471875
transcript.pyannote[1849].speaker SPEAKER_07
transcript.pyannote[1849].start 8056.49346875
transcript.pyannote[1849].end 8057.70846875
transcript.pyannote[1850].speaker SPEAKER_07
transcript.pyannote[1850].start 8057.94471875
transcript.pyannote[1850].end 8058.53534375
transcript.pyannote[1851].speaker SPEAKER_07
transcript.pyannote[1851].start 8058.80534375
transcript.pyannote[1851].end 8061.13409375
transcript.pyannote[1852].speaker SPEAKER_07
transcript.pyannote[1852].start 8061.67409375
transcript.pyannote[1852].end 8067.56346875
transcript.pyannote[1853].speaker SPEAKER_17
transcript.pyannote[1853].start 8067.56346875
transcript.pyannote[1853].end 8067.69846875
transcript.pyannote[1854].speaker SPEAKER_07
transcript.pyannote[1854].start 8067.69846875
transcript.pyannote[1854].end 8067.93471875
transcript.pyannote[1855].speaker SPEAKER_17
transcript.pyannote[1855].start 8068.37346875
transcript.pyannote[1855].end 8077.24971875
transcript.pyannote[1856].speaker SPEAKER_17
transcript.pyannote[1856].start 8077.80659375
transcript.pyannote[1856].end 8079.54471875
transcript.pyannote[1857].speaker SPEAKER_17
transcript.pyannote[1857].start 8079.71346875
transcript.pyannote[1857].end 8081.97471875
transcript.pyannote[1858].speaker SPEAKER_07
transcript.pyannote[1858].start 8081.29971875
transcript.pyannote[1858].end 8081.99159375
transcript.pyannote[1859].speaker SPEAKER_17
transcript.pyannote[1859].start 8081.99159375
transcript.pyannote[1859].end 8082.02534375
transcript.pyannote[1860].speaker SPEAKER_07
transcript.pyannote[1860].start 8082.02534375
transcript.pyannote[1860].end 8094.86721875
transcript.pyannote[1861].speaker SPEAKER_07
transcript.pyannote[1861].start 8094.88409375
transcript.pyannote[1861].end 8094.95159375
transcript.pyannote[1862].speaker SPEAKER_07
transcript.pyannote[1862].start 8095.13721875
transcript.pyannote[1862].end 8098.61346875
transcript.pyannote[1863].speaker SPEAKER_17
transcript.pyannote[1863].start 8097.78659375
transcript.pyannote[1863].end 8104.48596875
transcript.pyannote[1864].speaker SPEAKER_17
transcript.pyannote[1864].start 8104.90784375
transcript.pyannote[1864].end 8105.29596875
transcript.pyannote[1865].speaker SPEAKER_17
transcript.pyannote[1865].start 8106.00471875
transcript.pyannote[1865].end 8106.61221875
transcript.pyannote[1866].speaker SPEAKER_25
transcript.pyannote[1866].start 8107.91159375
transcript.pyannote[1866].end 8116.04534375
transcript.pyannote[1867].speaker SPEAKER_20
transcript.pyannote[1867].start 8114.34096875
transcript.pyannote[1867].end 8114.99909375
transcript.pyannote[1868].speaker SPEAKER_25
transcript.pyannote[1868].start 8116.45034375
transcript.pyannote[1868].end 8121.51284375
transcript.pyannote[1869].speaker SPEAKER_17
transcript.pyannote[1869].start 8121.51284375
transcript.pyannote[1869].end 8121.90096875
transcript.pyannote[1870].speaker SPEAKER_25
transcript.pyannote[1870].start 8122.10346875
transcript.pyannote[1870].end 8125.07346875
transcript.pyannote[1871].speaker SPEAKER_17
transcript.pyannote[1871].start 8124.70221875
transcript.pyannote[1871].end 8140.00784375
transcript.pyannote[1872].speaker SPEAKER_25
transcript.pyannote[1872].start 8139.60284375
transcript.pyannote[1872].end 8148.64784375
transcript.pyannote[1873].speaker SPEAKER_17
transcript.pyannote[1873].start 8142.57284375
transcript.pyannote[1873].end 8142.72471875
transcript.pyannote[1874].speaker SPEAKER_17
transcript.pyannote[1874].start 8146.75784375
transcript.pyannote[1874].end 8147.11221875
transcript.pyannote[1875].speaker SPEAKER_17
transcript.pyannote[1875].start 8148.02346875
transcript.pyannote[1875].end 8160.47721875
transcript.pyannote[1876].speaker SPEAKER_25
transcript.pyannote[1876].start 8159.93721875
transcript.pyannote[1876].end 8167.02471875
transcript.pyannote[1877].speaker SPEAKER_17
transcript.pyannote[1877].start 8161.75971875
transcript.pyannote[1877].end 8163.36284375
transcript.pyannote[1878].speaker SPEAKER_17
transcript.pyannote[1878].start 8163.64971875
transcript.pyannote[1878].end 8163.97034375
transcript.pyannote[1879].speaker SPEAKER_17
transcript.pyannote[1879].start 8167.27784375
transcript.pyannote[1879].end 8171.27721875
transcript.pyannote[1880].speaker SPEAKER_17
transcript.pyannote[1880].start 8171.56409375
transcript.pyannote[1880].end 8172.76221875
transcript.pyannote[1881].speaker SPEAKER_17
transcript.pyannote[1881].start 8173.06596875
transcript.pyannote[1881].end 8175.36096875
transcript.pyannote[1882].speaker SPEAKER_07
transcript.pyannote[1882].start 8175.79971875
transcript.pyannote[1882].end 8176.17096875
transcript.pyannote[1883].speaker SPEAKER_17
transcript.pyannote[1883].start 8176.28909375
transcript.pyannote[1883].end 8178.29721875
transcript.pyannote[1884].speaker SPEAKER_07
transcript.pyannote[1884].start 8178.56721875
transcript.pyannote[1884].end 8178.95534375
transcript.pyannote[1885].speaker SPEAKER_07
transcript.pyannote[1885].start 8179.05659375
transcript.pyannote[1885].end 8179.07346875
transcript.pyannote[1886].speaker SPEAKER_07
transcript.pyannote[1886].start 8179.10721875
transcript.pyannote[1886].end 8182.58346875
transcript.pyannote[1887].speaker SPEAKER_07
transcript.pyannote[1887].start 8183.12346875
transcript.pyannote[1887].end 8186.38034375
transcript.pyannote[1888].speaker SPEAKER_07
transcript.pyannote[1888].start 8186.83596875
transcript.pyannote[1888].end 8193.23159375
transcript.pyannote[1889].speaker SPEAKER_07
transcript.pyannote[1889].start 8193.51846875
transcript.pyannote[1889].end 8198.20971875
transcript.pyannote[1890].speaker SPEAKER_07
transcript.pyannote[1890].start 8198.29409375
transcript.pyannote[1890].end 8202.20909375
transcript.pyannote[1891].speaker SPEAKER_07
transcript.pyannote[1891].start 8202.71534375
transcript.pyannote[1891].end 8203.00221875
transcript.pyannote[1892].speaker SPEAKER_07
transcript.pyannote[1892].start 8203.44096875
transcript.pyannote[1892].end 8204.63909375
transcript.pyannote[1893].speaker SPEAKER_07
transcript.pyannote[1893].start 8204.84159375
transcript.pyannote[1893].end 8206.69784375
transcript.pyannote[1894].speaker SPEAKER_07
transcript.pyannote[1894].start 8206.93409375
transcript.pyannote[1894].end 8207.35596875
transcript.pyannote[1895].speaker SPEAKER_07
transcript.pyannote[1895].start 8208.23346875
transcript.pyannote[1895].end 8210.39346875
transcript.pyannote[1896].speaker SPEAKER_17
transcript.pyannote[1896].start 8209.14471875
transcript.pyannote[1896].end 8211.23721875
transcript.pyannote[1897].speaker SPEAKER_07
transcript.pyannote[1897].start 8211.23721875
transcript.pyannote[1897].end 8211.89534375
transcript.pyannote[1898].speaker SPEAKER_07
transcript.pyannote[1898].start 8212.36784375
transcript.pyannote[1898].end 8213.46471875
transcript.pyannote[1899].speaker SPEAKER_17
transcript.pyannote[1899].start 8212.40159375
transcript.pyannote[1899].end 8213.73471875
transcript.pyannote[1900].speaker SPEAKER_07
transcript.pyannote[1900].start 8213.73471875
transcript.pyannote[1900].end 8215.45596875
transcript.pyannote[1901].speaker SPEAKER_17
transcript.pyannote[1901].start 8213.75159375
transcript.pyannote[1901].end 8213.78534375
transcript.pyannote[1902].speaker SPEAKER_07
transcript.pyannote[1902].start 8215.69221875
transcript.pyannote[1902].end 8226.93096875
transcript.pyannote[1903].speaker SPEAKER_17
transcript.pyannote[1903].start 8221.05846875
transcript.pyannote[1903].end 8221.31159375
transcript.pyannote[1904].speaker SPEAKER_07
transcript.pyannote[1904].start 8227.50471875
transcript.pyannote[1904].end 8227.75784375
transcript.pyannote[1905].speaker SPEAKER_27
transcript.pyannote[1905].start 8229.59721875
transcript.pyannote[1905].end 8231.70659375
transcript.pyannote[1906].speaker SPEAKER_27
transcript.pyannote[1906].start 8233.81596875
transcript.pyannote[1906].end 8239.55346875
transcript.pyannote[1907].speaker SPEAKER_24
transcript.pyannote[1907].start 8250.43784375
transcript.pyannote[1907].end 8251.14659375
transcript.pyannote[1908].speaker SPEAKER_24
transcript.pyannote[1908].start 8251.23096875
transcript.pyannote[1908].end 8252.04096875
transcript.pyannote[1909].speaker SPEAKER_24
transcript.pyannote[1909].start 8252.09159375
transcript.pyannote[1909].end 8253.96471875
transcript.pyannote[1910].speaker SPEAKER_27
transcript.pyannote[1910].start 8254.15034375
transcript.pyannote[1910].end 8255.71971875
transcript.pyannote[1911].speaker SPEAKER_24
transcript.pyannote[1911].start 8260.49534375
transcript.pyannote[1911].end 8261.94659375
transcript.pyannote[1912].speaker SPEAKER_24
transcript.pyannote[1912].start 8263.70159375
transcript.pyannote[1912].end 8265.03471875
transcript.pyannote[1913].speaker SPEAKER_24
transcript.pyannote[1913].start 8266.57034375
transcript.pyannote[1913].end 8267.17784375
transcript.pyannote[1914].speaker SPEAKER_24
transcript.pyannote[1914].start 8267.43096875
transcript.pyannote[1914].end 8268.20721875
transcript.pyannote[1915].speaker SPEAKER_24
transcript.pyannote[1915].start 8268.57846875
transcript.pyannote[1915].end 8269.42221875
transcript.pyannote[1916].speaker SPEAKER_24
transcript.pyannote[1916].start 8270.13096875
transcript.pyannote[1916].end 8271.17721875
transcript.pyannote[1917].speaker SPEAKER_24
transcript.pyannote[1917].start 8271.53159375
transcript.pyannote[1917].end 8271.76784375
transcript.pyannote[1918].speaker SPEAKER_24
transcript.pyannote[1918].start 8272.54409375
transcript.pyannote[1918].end 8273.43846875
transcript.pyannote[1919].speaker SPEAKER_24
transcript.pyannote[1919].start 8273.70846875
transcript.pyannote[1919].end 8274.36659375
transcript.pyannote[1920].speaker SPEAKER_24
transcript.pyannote[1920].start 8274.67034375
transcript.pyannote[1920].end 8275.44659375
transcript.pyannote[1921].speaker SPEAKER_24
transcript.pyannote[1921].start 8275.49721875
transcript.pyannote[1921].end 8275.88534375
transcript.pyannote[1922].speaker SPEAKER_24
transcript.pyannote[1922].start 8276.44221875
transcript.pyannote[1922].end 8277.55596875
transcript.pyannote[1923].speaker SPEAKER_24
transcript.pyannote[1923].start 8278.43346875
transcript.pyannote[1923].end 8280.00284375
transcript.pyannote[1924].speaker SPEAKER_24
transcript.pyannote[1924].start 8280.45846875
transcript.pyannote[1924].end 8281.80846875
transcript.pyannote[1925].speaker SPEAKER_24
transcript.pyannote[1925].start 8282.44971875
transcript.pyannote[1925].end 8283.59721875
transcript.pyannote[1926].speaker SPEAKER_24
transcript.pyannote[1926].start 8283.98534375
transcript.pyannote[1926].end 8284.71096875
transcript.pyannote[1927].speaker SPEAKER_24
transcript.pyannote[1927].start 8285.43659375
transcript.pyannote[1927].end 8286.28034375
transcript.pyannote[1928].speaker SPEAKER_24
transcript.pyannote[1928].start 8287.00596875
transcript.pyannote[1928].end 8288.55846875
transcript.pyannote[1929].speaker SPEAKER_24
transcript.pyannote[1929].start 8289.48659375
transcript.pyannote[1929].end 8290.92096875
transcript.pyannote[1930].speaker SPEAKER_24
transcript.pyannote[1930].start 8291.66346875
transcript.pyannote[1930].end 8293.13159375
transcript.pyannote[1931].speaker SPEAKER_24
transcript.pyannote[1931].start 8293.46909375
transcript.pyannote[1931].end 8293.90784375
transcript.pyannote[1932].speaker SPEAKER_24
transcript.pyannote[1932].start 8294.27909375
transcript.pyannote[1932].end 8295.54471875
transcript.pyannote[1933].speaker SPEAKER_24
transcript.pyannote[1933].start 8295.78096875
transcript.pyannote[1933].end 8296.54034375
transcript.pyannote[1934].speaker SPEAKER_24
transcript.pyannote[1934].start 8297.04659375
transcript.pyannote[1934].end 8298.56534375
transcript.pyannote[1935].speaker SPEAKER_24
transcript.pyannote[1935].start 8298.80159375
transcript.pyannote[1935].end 8300.74221875
transcript.pyannote[1936].speaker SPEAKER_24
transcript.pyannote[1936].start 8301.90659375
transcript.pyannote[1936].end 8302.49721875
transcript.pyannote[1937].speaker SPEAKER_24
transcript.pyannote[1937].start 8303.08784375
transcript.pyannote[1937].end 8304.26909375
transcript.pyannote[1938].speaker SPEAKER_24
transcript.pyannote[1938].start 8304.67409375
transcript.pyannote[1938].end 8305.61909375
transcript.pyannote[1939].speaker SPEAKER_24
transcript.pyannote[1939].start 8306.27721875
transcript.pyannote[1939].end 8307.88034375
transcript.pyannote[1940].speaker SPEAKER_24
transcript.pyannote[1940].start 8308.09971875
transcript.pyannote[1940].end 8310.22596875
transcript.pyannote[1941].speaker SPEAKER_24
transcript.pyannote[1941].start 8310.64784375
transcript.pyannote[1941].end 8311.17096875
transcript.pyannote[1942].speaker SPEAKER_24
transcript.pyannote[1942].start 8311.45784375
transcript.pyannote[1942].end 8312.55471875
transcript.pyannote[1943].speaker SPEAKER_24
transcript.pyannote[1943].start 8313.29721875
transcript.pyannote[1943].end 8314.73159375
transcript.pyannote[1944].speaker SPEAKER_24
transcript.pyannote[1944].start 8315.40659375
transcript.pyannote[1944].end 8316.40221875
transcript.pyannote[1945].speaker SPEAKER_24
transcript.pyannote[1945].start 8316.60471875
transcript.pyannote[1945].end 8316.89159375
transcript.pyannote[1946].speaker SPEAKER_24
transcript.pyannote[1946].start 8317.63409375
transcript.pyannote[1946].end 8319.52409375
transcript.pyannote[1947].speaker SPEAKER_24
transcript.pyannote[1947].start 8320.97534375
transcript.pyannote[1947].end 8323.62471875
transcript.pyannote[1948].speaker SPEAKER_24
transcript.pyannote[1948].start 8324.24909375
transcript.pyannote[1948].end 8326.71284375
transcript.pyannote[1949].speaker SPEAKER_24
transcript.pyannote[1949].start 8327.70846875
transcript.pyannote[1949].end 8328.67034375
transcript.pyannote[1950].speaker SPEAKER_24
transcript.pyannote[1950].start 8328.94034375
transcript.pyannote[1950].end 8329.59846875
transcript.pyannote[1951].speaker SPEAKER_24
transcript.pyannote[1951].start 8330.17221875
transcript.pyannote[1951].end 8330.99909375
transcript.pyannote[1952].speaker SPEAKER_24
transcript.pyannote[1952].start 8331.28596875
transcript.pyannote[1952].end 8333.91846875
transcript.pyannote[1953].speaker SPEAKER_24
transcript.pyannote[1953].start 8334.89721875
transcript.pyannote[1953].end 8337.04034375
transcript.pyannote[1954].speaker SPEAKER_24
transcript.pyannote[1954].start 8338.57596875
transcript.pyannote[1954].end 8339.35221875
transcript.pyannote[1955].speaker SPEAKER_24
transcript.pyannote[1955].start 8339.92596875
transcript.pyannote[1955].end 8340.36471875
transcript.pyannote[1956].speaker SPEAKER_24
transcript.pyannote[1956].start 8341.05659375
transcript.pyannote[1956].end 8342.37284375
transcript.pyannote[1957].speaker SPEAKER_24
transcript.pyannote[1957].start 8343.09846875
transcript.pyannote[1957].end 8343.36846875
transcript.pyannote[1958].speaker SPEAKER_24
transcript.pyannote[1958].start 8344.09409375
transcript.pyannote[1958].end 8344.54971875
transcript.pyannote[1959].speaker SPEAKER_24
transcript.pyannote[1959].start 8345.32596875
transcript.pyannote[1959].end 8346.23721875
transcript.pyannote[1960].speaker SPEAKER_24
transcript.pyannote[1960].start 8346.59159375
transcript.pyannote[1960].end 8347.19909375
transcript.pyannote[1961].speaker SPEAKER_24
transcript.pyannote[1961].start 8347.92471875
transcript.pyannote[1961].end 8349.08909375
transcript.pyannote[1962].speaker SPEAKER_24
transcript.pyannote[1962].start 8350.03409375
transcript.pyannote[1962].end 8350.77659375
transcript.pyannote[1963].speaker SPEAKER_24
transcript.pyannote[1963].start 8351.24909375
transcript.pyannote[1963].end 8351.95784375
transcript.pyannote[1964].speaker SPEAKER_24
transcript.pyannote[1964].start 8352.37971875
transcript.pyannote[1964].end 8352.97034375
transcript.pyannote[1965].speaker SPEAKER_24
transcript.pyannote[1965].start 8353.51034375
transcript.pyannote[1965].end 8354.62409375
transcript.pyannote[1966].speaker SPEAKER_24
transcript.pyannote[1966].start 8354.91096875
transcript.pyannote[1966].end 8355.97409375
transcript.pyannote[1967].speaker SPEAKER_24
transcript.pyannote[1967].start 8356.71659375
transcript.pyannote[1967].end 8357.72909375
transcript.pyannote[1968].speaker SPEAKER_24
transcript.pyannote[1968].start 8358.70784375
transcript.pyannote[1968].end 8359.50096875
transcript.pyannote[1969].speaker SPEAKER_24
transcript.pyannote[1969].start 8360.86784375
transcript.pyannote[1969].end 8363.53409375
transcript.pyannote[1970].speaker SPEAKER_24
transcript.pyannote[1970].start 8364.00659375
transcript.pyannote[1970].end 8365.42409375
transcript.pyannote[1971].speaker SPEAKER_24
transcript.pyannote[1971].start 8366.20034375
transcript.pyannote[1971].end 8367.39846875
transcript.pyannote[1972].speaker SPEAKER_24
transcript.pyannote[1972].start 8368.20846875
transcript.pyannote[1972].end 8371.63409375
transcript.pyannote[1973].speaker SPEAKER_24
transcript.pyannote[1973].start 8372.20784375
transcript.pyannote[1973].end 8374.31721875
transcript.pyannote[1974].speaker SPEAKER_24
transcript.pyannote[1974].start 8374.60409375
transcript.pyannote[1974].end 8375.05971875
transcript.pyannote[1975].speaker SPEAKER_24
transcript.pyannote[1975].start 8375.59971875
transcript.pyannote[1975].end 8376.84846875
transcript.pyannote[1976].speaker SPEAKER_24
transcript.pyannote[1976].start 8378.16471875
transcript.pyannote[1976].end 8380.02096875
transcript.pyannote[1977].speaker SPEAKER_24
transcript.pyannote[1977].start 8382.45096875
transcript.pyannote[1977].end 8382.88971875
transcript.pyannote[1978].speaker SPEAKER_24
transcript.pyannote[1978].start 8383.63221875
transcript.pyannote[1978].end 8384.47596875
transcript.pyannote[1979].speaker SPEAKER_24
transcript.pyannote[1979].start 8384.74596875
transcript.pyannote[1979].end 8385.30284375
transcript.pyannote[1980].speaker SPEAKER_24
transcript.pyannote[1980].start 8385.69096875
transcript.pyannote[1980].end 8386.72034375
transcript.pyannote[1981].speaker SPEAKER_24
transcript.pyannote[1981].start 8387.22659375
transcript.pyannote[1981].end 8388.59346875
transcript.pyannote[1982].speaker SPEAKER_24
transcript.pyannote[1982].start 8388.76221875
transcript.pyannote[1982].end 8389.23471875
transcript.pyannote[1983].speaker SPEAKER_24
transcript.pyannote[1983].start 8389.62284375
transcript.pyannote[1983].end 8390.33159375
transcript.pyannote[1984].speaker SPEAKER_24
transcript.pyannote[1984].start 8390.71971875
transcript.pyannote[1984].end 8394.36471875
transcript.pyannote[1985].speaker SPEAKER_24
transcript.pyannote[1985].start 8394.82034375
transcript.pyannote[1985].end 8395.25909375
transcript.pyannote[1986].speaker SPEAKER_24
transcript.pyannote[1986].start 8395.39409375
transcript.pyannote[1986].end 8398.26284375
transcript.pyannote[1987].speaker SPEAKER_24
transcript.pyannote[1987].start 8398.54971875
transcript.pyannote[1987].end 8400.03471875
transcript.pyannote[1988].speaker SPEAKER_24
transcript.pyannote[1988].start 8400.35534375
transcript.pyannote[1988].end 8402.38034375
transcript.pyannote[1989].speaker SPEAKER_24
transcript.pyannote[1989].start 8403.59534375
transcript.pyannote[1989].end 8407.88159375
transcript.pyannote[1990].speaker SPEAKER_24
transcript.pyannote[1990].start 8408.28659375
transcript.pyannote[1990].end 8409.48471875
transcript.pyannote[1991].speaker SPEAKER_24
transcript.pyannote[1991].start 8410.04159375
transcript.pyannote[1991].end 8411.27346875
transcript.pyannote[1992].speaker SPEAKER_24
transcript.pyannote[1992].start 8411.76284375
transcript.pyannote[1992].end 8413.50096875
transcript.pyannote[1993].speaker SPEAKER_24
transcript.pyannote[1993].start 8414.86784375
transcript.pyannote[1993].end 8416.87596875
transcript.pyannote[1994].speaker SPEAKER_24
transcript.pyannote[1994].start 8416.94346875
transcript.pyannote[1994].end 8417.23034375
transcript.pyannote[1995].speaker SPEAKER_24
transcript.pyannote[1995].start 8418.31034375
transcript.pyannote[1995].end 8419.71096875
transcript.pyannote[1996].speaker SPEAKER_24
transcript.pyannote[1996].start 8421.49971875
transcript.pyannote[1996].end 8422.34346875
transcript.pyannote[1997].speaker SPEAKER_24
transcript.pyannote[1997].start 8423.71034375
transcript.pyannote[1997].end 8427.35534375
transcript.pyannote[1998].speaker SPEAKER_24
transcript.pyannote[1998].start 8427.55784375
transcript.pyannote[1998].end 8429.39721875
transcript.pyannote[1999].speaker SPEAKER_24
transcript.pyannote[1999].start 8429.58284375
transcript.pyannote[1999].end 8431.32096875
transcript.pyannote[2000].speaker SPEAKER_24
transcript.pyannote[2000].start 8433.29534375
transcript.pyannote[2000].end 8435.65784375
transcript.pyannote[2001].speaker SPEAKER_24
transcript.pyannote[2001].start 8436.48471875
transcript.pyannote[2001].end 8438.74596875
transcript.pyannote[2002].speaker SPEAKER_24
transcript.pyannote[2002].start 8439.64034375
transcript.pyannote[2002].end 8441.56409375
transcript.pyannote[2003].speaker SPEAKER_24
transcript.pyannote[2003].start 8442.12096875
transcript.pyannote[2003].end 8444.02784375
transcript.pyannote[2004].speaker SPEAKER_24
transcript.pyannote[2004].start 8444.73659375
transcript.pyannote[2004].end 8446.32284375
transcript.pyannote[2005].speaker SPEAKER_24
transcript.pyannote[2005].start 8446.99784375
transcript.pyannote[2005].end 8448.22971875
transcript.pyannote[2006].speaker SPEAKER_24
transcript.pyannote[2006].start 8449.22534375
transcript.pyannote[2006].end 8449.71471875
transcript.pyannote[2007].speaker SPEAKER_24
transcript.pyannote[2007].start 8450.47409375
transcript.pyannote[2007].end 8452.11096875
transcript.pyannote[2008].speaker SPEAKER_24
transcript.pyannote[2008].start 8452.49909375
transcript.pyannote[2008].end 8455.30034375
transcript.pyannote[2009].speaker SPEAKER_24
transcript.pyannote[2009].start 8456.17784375
transcript.pyannote[2009].end 8459.06346875
transcript.pyannote[2010].speaker SPEAKER_24
transcript.pyannote[2010].start 8459.82284375
transcript.pyannote[2010].end 8462.20221875
transcript.pyannote[2011].speaker SPEAKER_24
transcript.pyannote[2011].start 8462.79284375
transcript.pyannote[2011].end 8464.42971875
transcript.pyannote[2012].speaker SPEAKER_24
transcript.pyannote[2012].start 8464.76721875
transcript.pyannote[2012].end 8466.42096875
transcript.pyannote[2013].speaker SPEAKER_24
transcript.pyannote[2013].start 8467.48409375
transcript.pyannote[2013].end 8467.85534375
transcript.pyannote[2014].speaker SPEAKER_24
transcript.pyannote[2014].start 8467.92284375
transcript.pyannote[2014].end 8468.73284375
transcript.pyannote[2015].speaker SPEAKER_24
transcript.pyannote[2015].start 8469.59346875
transcript.pyannote[2015].end 8470.38659375
transcript.pyannote[2016].speaker SPEAKER_24
transcript.pyannote[2016].start 8470.69034375
transcript.pyannote[2016].end 8473.69409375
transcript.pyannote[2017].speaker SPEAKER_24
transcript.pyannote[2017].start 8473.74471875
transcript.pyannote[2017].end 8475.02721875
transcript.pyannote[2018].speaker SPEAKER_24
transcript.pyannote[2018].start 8475.97221875
transcript.pyannote[2018].end 8476.25909375
transcript.pyannote[2019].speaker SPEAKER_24
transcript.pyannote[2019].start 8476.57971875
transcript.pyannote[2019].end 8477.86221875
transcript.pyannote[2020].speaker SPEAKER_24
transcript.pyannote[2020].start 8478.13221875
transcript.pyannote[2020].end 8480.44409375
transcript.pyannote[2021].speaker SPEAKER_24
transcript.pyannote[2021].start 8480.91659375
transcript.pyannote[2021].end 8483.14409375
transcript.pyannote[2022].speaker SPEAKER_24
transcript.pyannote[2022].start 8484.05534375
transcript.pyannote[2022].end 8486.77221875
transcript.pyannote[2023].speaker SPEAKER_24
transcript.pyannote[2023].start 8487.83534375
transcript.pyannote[2023].end 8489.80971875
transcript.pyannote[2024].speaker SPEAKER_24
transcript.pyannote[2024].start 8490.80534375
transcript.pyannote[2024].end 8491.05846875
transcript.pyannote[2025].speaker SPEAKER_24
transcript.pyannote[2025].start 8491.26096875
transcript.pyannote[2025].end 8492.89784375
transcript.pyannote[2026].speaker SPEAKER_24
transcript.pyannote[2026].start 8493.18471875
transcript.pyannote[2026].end 8493.99471875
transcript.pyannote[2027].speaker SPEAKER_24
transcript.pyannote[2027].start 8494.55159375
transcript.pyannote[2027].end 8495.39534375
transcript.pyannote[2028].speaker SPEAKER_24
transcript.pyannote[2028].start 8495.69909375
transcript.pyannote[2028].end 8497.25159375
transcript.pyannote[2029].speaker SPEAKER_24
transcript.pyannote[2029].start 8497.90971875
transcript.pyannote[2029].end 8498.92221875
transcript.pyannote[2030].speaker SPEAKER_24
transcript.pyannote[2030].start 8499.61409375
transcript.pyannote[2030].end 8500.22159375
transcript.pyannote[2031].speaker SPEAKER_24
transcript.pyannote[2031].start 8500.49159375
transcript.pyannote[2031].end 8501.26784375
transcript.pyannote[2032].speaker SPEAKER_24
transcript.pyannote[2032].start 8501.40284375
transcript.pyannote[2032].end 8502.06096875
transcript.pyannote[2033].speaker SPEAKER_24
transcript.pyannote[2033].start 8503.27596875
transcript.pyannote[2033].end 8504.33909375
transcript.pyannote[2034].speaker SPEAKER_24
transcript.pyannote[2034].start 8504.79471875
transcript.pyannote[2034].end 8505.33471875
transcript.pyannote[2035].speaker SPEAKER_24
transcript.pyannote[2035].start 8505.45284375
transcript.pyannote[2035].end 8506.68471875
transcript.pyannote[2036].speaker SPEAKER_24
transcript.pyannote[2036].start 8507.34284375
transcript.pyannote[2036].end 8508.30471875
transcript.pyannote[2037].speaker SPEAKER_24
transcript.pyannote[2037].start 8509.23284375
transcript.pyannote[2037].end 8511.03846875
transcript.pyannote[2038].speaker SPEAKER_24
transcript.pyannote[2038].start 8511.79784375
transcript.pyannote[2038].end 8516.91096875
transcript.pyannote[2039].speaker SPEAKER_24
transcript.pyannote[2039].start 8517.48471875
transcript.pyannote[2039].end 8518.36221875
transcript.pyannote[2040].speaker SPEAKER_24
transcript.pyannote[2040].start 8519.18909375
transcript.pyannote[2040].end 8519.77971875
transcript.pyannote[2041].speaker SPEAKER_24
transcript.pyannote[2041].start 8520.87659375
transcript.pyannote[2041].end 8523.79596875
transcript.pyannote[2042].speaker SPEAKER_24
transcript.pyannote[2042].start 8525.16284375
transcript.pyannote[2042].end 8527.87971875
transcript.pyannote[2043].speaker SPEAKER_24
transcript.pyannote[2043].start 8528.04846875
transcript.pyannote[2043].end 8529.95534375
transcript.pyannote[2044].speaker SPEAKER_24
transcript.pyannote[2044].start 8530.63034375
transcript.pyannote[2044].end 8533.38096875
transcript.pyannote[2045].speaker SPEAKER_24
transcript.pyannote[2045].start 8533.76909375
transcript.pyannote[2045].end 8537.00909375
transcript.pyannote[2046].speaker SPEAKER_24
transcript.pyannote[2046].start 8537.53221875
transcript.pyannote[2046].end 8539.32096875
transcript.pyannote[2047].speaker SPEAKER_24
transcript.pyannote[2047].start 8540.29971875
transcript.pyannote[2047].end 8540.94096875
transcript.pyannote[2048].speaker SPEAKER_24
transcript.pyannote[2048].start 8541.31221875
transcript.pyannote[2048].end 8541.86909375
transcript.pyannote[2049].speaker SPEAKER_24
transcript.pyannote[2049].start 8542.18971875
transcript.pyannote[2049].end 8543.53971875
transcript.pyannote[2050].speaker SPEAKER_24
transcript.pyannote[2050].start 8545.02471875
transcript.pyannote[2050].end 8547.72471875
transcript.pyannote[2051].speaker SPEAKER_24
transcript.pyannote[2051].start 8547.96096875
transcript.pyannote[2051].end 8548.45034375
transcript.pyannote[2052].speaker SPEAKER_24
transcript.pyannote[2052].start 8548.88909375
transcript.pyannote[2052].end 8549.64846875
transcript.pyannote[2053].speaker SPEAKER_24
transcript.pyannote[2053].start 8550.13784375
transcript.pyannote[2053].end 8552.43284375
transcript.pyannote[2054].speaker SPEAKER_24
transcript.pyannote[2054].start 8553.05721875
transcript.pyannote[2054].end 8555.80784375
transcript.pyannote[2055].speaker SPEAKER_24
transcript.pyannote[2055].start 8556.73596875
transcript.pyannote[2055].end 8558.22096875
transcript.pyannote[2056].speaker SPEAKER_24
transcript.pyannote[2056].start 8558.92971875
transcript.pyannote[2056].end 8561.59596875
transcript.pyannote[2057].speaker SPEAKER_24
transcript.pyannote[2057].start 8561.68034375
transcript.pyannote[2057].end 8562.65909375
transcript.pyannote[2058].speaker SPEAKER_24
transcript.pyannote[2058].start 8563.31721875
transcript.pyannote[2058].end 8566.70909375
transcript.pyannote[2059].speaker SPEAKER_24
transcript.pyannote[2059].start 8567.58659375
transcript.pyannote[2059].end 8567.87346875
transcript.pyannote[2060].speaker SPEAKER_24
transcript.pyannote[2060].start 8568.34596875
transcript.pyannote[2060].end 8568.36284375
transcript.pyannote[2061].speaker SPEAKER_07
transcript.pyannote[2061].start 8568.36284375
transcript.pyannote[2061].end 8572.00784375
transcript.pyannote[2062].speaker SPEAKER_07
transcript.pyannote[2062].start 8572.54784375
transcript.pyannote[2062].end 8573.98221875
transcript.pyannote[2063].speaker SPEAKER_07
transcript.pyannote[2063].start 8574.35346875
transcript.pyannote[2063].end 8579.87159375
transcript.pyannote[2064].speaker SPEAKER_07
transcript.pyannote[2064].start 8579.90534375
transcript.pyannote[2064].end 8583.46596875
transcript.pyannote[2065].speaker SPEAKER_07
transcript.pyannote[2065].start 8583.76971875
transcript.pyannote[2065].end 8586.13221875
transcript.pyannote[2066].speaker SPEAKER_07
transcript.pyannote[2066].start 8586.45284375
transcript.pyannote[2066].end 8587.92096875
transcript.pyannote[2067].speaker SPEAKER_07
transcript.pyannote[2067].start 8588.44409375
transcript.pyannote[2067].end 8590.08096875
transcript.pyannote[2068].speaker SPEAKER_07
transcript.pyannote[2068].start 8590.33409375
transcript.pyannote[2068].end 8592.62909375
transcript.pyannote[2069].speaker SPEAKER_07
transcript.pyannote[2069].start 8592.98346875
transcript.pyannote[2069].end 8593.97909375
transcript.pyannote[2070].speaker SPEAKER_07
transcript.pyannote[2070].start 8594.48534375
transcript.pyannote[2070].end 8595.53159375
transcript.pyannote[2071].speaker SPEAKER_07
transcript.pyannote[2071].start 8595.81846875
transcript.pyannote[2071].end 8596.37534375
transcript.pyannote[2072].speaker SPEAKER_07
transcript.pyannote[2072].start 8596.57784375
transcript.pyannote[2072].end 8597.03346875
transcript.pyannote[2073].speaker SPEAKER_07
transcript.pyannote[2073].start 8597.70846875
transcript.pyannote[2073].end 8598.58596875
transcript.pyannote[2074].speaker SPEAKER_07
transcript.pyannote[2074].start 8599.17659375
transcript.pyannote[2074].end 8607.09096875
transcript.pyannote[2075].speaker SPEAKER_07
transcript.pyannote[2075].start 8607.24284375
transcript.pyannote[2075].end 8609.99346875
transcript.pyannote[2076].speaker SPEAKER_07
transcript.pyannote[2076].start 8610.14534375
transcript.pyannote[2076].end 8615.74784375
transcript.pyannote[2077].speaker SPEAKER_07
transcript.pyannote[2077].start 8616.11909375
transcript.pyannote[2077].end 8625.58596875
transcript.pyannote[2078].speaker SPEAKER_24
transcript.pyannote[2078].start 8624.08409375
transcript.pyannote[2078].end 8624.82659375
transcript.pyannote[2079].speaker SPEAKER_07
transcript.pyannote[2079].start 8625.80534375
transcript.pyannote[2079].end 8626.15971875
transcript.pyannote[2080].speaker SPEAKER_24
transcript.pyannote[2080].start 8626.15971875
transcript.pyannote[2080].end 8626.31159375
transcript.pyannote[2081].speaker SPEAKER_07
transcript.pyannote[2081].start 8626.31159375
transcript.pyannote[2081].end 8627.08784375
transcript.pyannote[2082].speaker SPEAKER_24
transcript.pyannote[2082].start 8628.15096875
transcript.pyannote[2082].end 8630.85096875
transcript.pyannote[2083].speaker SPEAKER_24
transcript.pyannote[2083].start 8631.23909375
transcript.pyannote[2083].end 8632.16721875
transcript.pyannote[2084].speaker SPEAKER_24
transcript.pyannote[2084].start 8632.38659375
transcript.pyannote[2084].end 8633.39909375
transcript.pyannote[2085].speaker SPEAKER_24
transcript.pyannote[2085].start 8634.02346875
transcript.pyannote[2085].end 8636.63909375
transcript.pyannote[2086].speaker SPEAKER_24
transcript.pyannote[2086].start 8637.26346875
transcript.pyannote[2086].end 8638.73159375
transcript.pyannote[2087].speaker SPEAKER_24
transcript.pyannote[2087].start 8638.90034375
transcript.pyannote[2087].end 8641.98846875
transcript.pyannote[2088].speaker SPEAKER_24
transcript.pyannote[2088].start 8642.62971875
transcript.pyannote[2088].end 8644.90784375
transcript.pyannote[2089].speaker SPEAKER_24
transcript.pyannote[2089].start 8645.27909375
transcript.pyannote[2089].end 8648.97471875
transcript.pyannote[2090].speaker SPEAKER_24
transcript.pyannote[2090].start 8649.32909375
transcript.pyannote[2090].end 8652.34971875
transcript.pyannote[2091].speaker SPEAKER_20
transcript.pyannote[2091].start 8652.58596875
transcript.pyannote[2091].end 8652.60284375
transcript.pyannote[2092].speaker SPEAKER_24
transcript.pyannote[2092].start 8652.60284375
transcript.pyannote[2092].end 8657.58096875
transcript.pyannote[2093].speaker SPEAKER_24
transcript.pyannote[2093].start 8658.15471875
transcript.pyannote[2093].end 8658.67784375
transcript.pyannote[2094].speaker SPEAKER_24
transcript.pyannote[2094].start 8659.13346875
transcript.pyannote[2094].end 8660.50034375
transcript.pyannote[2095].speaker SPEAKER_24
transcript.pyannote[2095].start 8661.22596875
transcript.pyannote[2095].end 8661.95159375
transcript.pyannote[2096].speaker SPEAKER_24
transcript.pyannote[2096].start 8662.62659375
transcript.pyannote[2096].end 8664.33096875
transcript.pyannote[2097].speaker SPEAKER_24
transcript.pyannote[2097].start 8664.71909375
transcript.pyannote[2097].end 8666.49096875
transcript.pyannote[2098].speaker SPEAKER_24
transcript.pyannote[2098].start 8666.86221875
transcript.pyannote[2098].end 8668.21221875
transcript.pyannote[2099].speaker SPEAKER_24
transcript.pyannote[2099].start 8668.49909375
transcript.pyannote[2099].end 8669.29221875
transcript.pyannote[2100].speaker SPEAKER_07
transcript.pyannote[2100].start 8669.29221875
transcript.pyannote[2100].end 8672.97096875
transcript.pyannote[2101].speaker SPEAKER_07
transcript.pyannote[2101].start 8673.25784375
transcript.pyannote[2101].end 8677.74659375
transcript.pyannote[2102].speaker SPEAKER_24
transcript.pyannote[2102].start 8673.78096875
transcript.pyannote[2102].end 8673.79784375
transcript.pyannote[2103].speaker SPEAKER_24
transcript.pyannote[2103].start 8673.83159375
transcript.pyannote[2103].end 8673.88221875
transcript.pyannote[2104].speaker SPEAKER_24
transcript.pyannote[2104].start 8678.45534375
transcript.pyannote[2104].end 8684.07471875
transcript.pyannote[2105].speaker SPEAKER_24
transcript.pyannote[2105].start 8684.37846875
transcript.pyannote[2105].end 8686.03221875
transcript.pyannote[2106].speaker SPEAKER_24
transcript.pyannote[2106].start 8687.07846875
transcript.pyannote[2106].end 8687.77034375
transcript.pyannote[2107].speaker SPEAKER_24
transcript.pyannote[2107].start 8688.58034375
transcript.pyannote[2107].end 8690.31846875
transcript.pyannote[2108].speaker SPEAKER_24
transcript.pyannote[2108].start 8691.65159375
transcript.pyannote[2108].end 8692.76534375
transcript.pyannote[2109].speaker SPEAKER_24
transcript.pyannote[2109].start 8694.11534375
transcript.pyannote[2109].end 8695.92096875
transcript.pyannote[2110].speaker SPEAKER_24
transcript.pyannote[2110].start 8696.57909375
transcript.pyannote[2110].end 8698.09784375
transcript.pyannote[2111].speaker SPEAKER_24
transcript.pyannote[2111].start 8698.99221875
transcript.pyannote[2111].end 8699.22846875
transcript.pyannote[2112].speaker SPEAKER_24
transcript.pyannote[2112].start 8699.34659375
transcript.pyannote[2112].end 8699.92034375
transcript.pyannote[2113].speaker SPEAKER_24
transcript.pyannote[2113].start 8700.15659375
transcript.pyannote[2113].end 8701.35471875
transcript.pyannote[2114].speaker SPEAKER_24
transcript.pyannote[2114].start 8701.65846875
transcript.pyannote[2114].end 8703.91971875
transcript.pyannote[2115].speaker SPEAKER_24
transcript.pyannote[2115].start 8704.99971875
transcript.pyannote[2115].end 8705.75909375
transcript.pyannote[2116].speaker SPEAKER_24
transcript.pyannote[2116].start 8706.26534375
transcript.pyannote[2116].end 8707.15971875
transcript.pyannote[2117].speaker SPEAKER_24
transcript.pyannote[2117].start 8707.21034375
transcript.pyannote[2117].end 8707.29471875
transcript.pyannote[2118].speaker SPEAKER_07
transcript.pyannote[2118].start 8707.29471875
transcript.pyannote[2118].end 8707.73346875
transcript.pyannote[2119].speaker SPEAKER_24
transcript.pyannote[2119].start 8707.34534375
transcript.pyannote[2119].end 8707.80096875
transcript.pyannote[2120].speaker SPEAKER_07
transcript.pyannote[2120].start 8707.80096875
transcript.pyannote[2120].end 8707.88534375
transcript.pyannote[2121].speaker SPEAKER_24
transcript.pyannote[2121].start 8707.88534375
transcript.pyannote[2121].end 8707.93596875
transcript.pyannote[2122].speaker SPEAKER_07
transcript.pyannote[2122].start 8707.93596875
transcript.pyannote[2122].end 8707.98659375
transcript.pyannote[2123].speaker SPEAKER_07
transcript.pyannote[2123].start 8708.35784375
transcript.pyannote[2123].end 8709.11721875
transcript.pyannote[2124].speaker SPEAKER_07
transcript.pyannote[2124].start 8709.74159375
transcript.pyannote[2124].end 8712.03659375
transcript.pyannote[2125].speaker SPEAKER_24
transcript.pyannote[2125].start 8712.03659375
transcript.pyannote[2125].end 8712.30659375
transcript.pyannote[2126].speaker SPEAKER_24
transcript.pyannote[2126].start 8712.55971875
transcript.pyannote[2126].end 8714.26409375
transcript.pyannote[2127].speaker SPEAKER_24
transcript.pyannote[2127].start 8714.31471875
transcript.pyannote[2127].end 8715.00659375
transcript.pyannote[2128].speaker SPEAKER_24
transcript.pyannote[2128].start 8715.85034375
transcript.pyannote[2128].end 8717.70659375
transcript.pyannote[2129].speaker SPEAKER_24
transcript.pyannote[2129].start 8717.97659375
transcript.pyannote[2129].end 8721.55409375
transcript.pyannote[2130].speaker SPEAKER_24
transcript.pyannote[2130].start 8722.33034375
transcript.pyannote[2130].end 8724.84471875
transcript.pyannote[2131].speaker SPEAKER_24
transcript.pyannote[2131].start 8725.45221875
transcript.pyannote[2131].end 8726.66721875
transcript.pyannote[2132].speaker SPEAKER_24
transcript.pyannote[2132].start 8727.56159375
transcript.pyannote[2132].end 8731.62846875
transcript.pyannote[2133].speaker SPEAKER_24
transcript.pyannote[2133].start 8731.94909375
transcript.pyannote[2133].end 8732.64096875
transcript.pyannote[2134].speaker SPEAKER_24
transcript.pyannote[2134].start 8733.02909375
transcript.pyannote[2134].end 8733.60284375
transcript.pyannote[2135].speaker SPEAKER_24
transcript.pyannote[2135].start 8734.96971875
transcript.pyannote[2135].end 8736.92721875
transcript.pyannote[2136].speaker SPEAKER_24
transcript.pyannote[2136].start 8737.45034375
transcript.pyannote[2136].end 8738.39534375
transcript.pyannote[2137].speaker SPEAKER_24
transcript.pyannote[2137].start 8739.15471875
transcript.pyannote[2137].end 8740.47096875
transcript.pyannote[2138].speaker SPEAKER_24
transcript.pyannote[2138].start 8740.87596875
transcript.pyannote[2138].end 8742.78284375
transcript.pyannote[2139].speaker SPEAKER_24
transcript.pyannote[2139].start 8743.01909375
transcript.pyannote[2139].end 8743.45784375
transcript.pyannote[2140].speaker SPEAKER_24
transcript.pyannote[2140].start 8744.63909375
transcript.pyannote[2140].end 8747.20409375
transcript.pyannote[2141].speaker SPEAKER_24
transcript.pyannote[2141].start 8748.03096875
transcript.pyannote[2141].end 8749.76909375
transcript.pyannote[2142].speaker SPEAKER_20
transcript.pyannote[2142].start 8750.19096875
transcript.pyannote[2142].end 8750.20784375
transcript.pyannote[2143].speaker SPEAKER_24
transcript.pyannote[2143].start 8750.20784375
transcript.pyannote[2143].end 8756.09721875
transcript.pyannote[2144].speaker SPEAKER_20
transcript.pyannote[2144].start 8752.01346875
transcript.pyannote[2144].end 8752.03034375
transcript.pyannote[2145].speaker SPEAKER_07
transcript.pyannote[2145].start 8752.03034375
transcript.pyannote[2145].end 8752.89096875
transcript.pyannote[2146].speaker SPEAKER_07
transcript.pyannote[2146].start 8754.08909375
transcript.pyannote[2146].end 8756.89034375
transcript.pyannote[2147].speaker SPEAKER_24
transcript.pyannote[2147].start 8756.89034375
transcript.pyannote[2147].end 8756.97471875
transcript.pyannote[2148].speaker SPEAKER_07
transcript.pyannote[2148].start 8756.97471875
transcript.pyannote[2148].end 8759.11784375
transcript.pyannote[2149].speaker SPEAKER_24
transcript.pyannote[2149].start 8757.32909375
transcript.pyannote[2149].end 8759.97846875
transcript.pyannote[2150].speaker SPEAKER_24
transcript.pyannote[2150].start 8760.41721875
transcript.pyannote[2150].end 8763.20159375
transcript.pyannote[2151].speaker SPEAKER_24
transcript.pyannote[2151].start 8763.70784375
transcript.pyannote[2151].end 8764.36596875
transcript.pyannote[2152].speaker SPEAKER_24
transcript.pyannote[2152].start 8764.99034375
transcript.pyannote[2152].end 8767.65659375
transcript.pyannote[2153].speaker SPEAKER_24
transcript.pyannote[2153].start 8767.90971875
transcript.pyannote[2153].end 8768.70284375
transcript.pyannote[2154].speaker SPEAKER_24
transcript.pyannote[2154].start 8768.92221875
transcript.pyannote[2154].end 8770.40721875
transcript.pyannote[2155].speaker SPEAKER_24
transcript.pyannote[2155].start 8771.16659375
transcript.pyannote[2155].end 8773.51221875
transcript.pyannote[2156].speaker SPEAKER_24
transcript.pyannote[2156].start 8773.91721875
transcript.pyannote[2156].end 8775.72284375
transcript.pyannote[2157].speaker SPEAKER_24
transcript.pyannote[2157].start 8776.73534375
transcript.pyannote[2157].end 8777.76471875
transcript.pyannote[2158].speaker SPEAKER_24
transcript.pyannote[2158].start 8777.96721875
transcript.pyannote[2158].end 8779.16534375
transcript.pyannote[2159].speaker SPEAKER_24
transcript.pyannote[2159].start 8780.16096875
transcript.pyannote[2159].end 8783.83971875
transcript.pyannote[2160].speaker SPEAKER_24
transcript.pyannote[2160].start 8784.24471875
transcript.pyannote[2160].end 8787.04596875
transcript.pyannote[2161].speaker SPEAKER_24
transcript.pyannote[2161].start 8788.36221875
transcript.pyannote[2161].end 8791.65284375
transcript.pyannote[2162].speaker SPEAKER_24
transcript.pyannote[2162].start 8792.47971875
transcript.pyannote[2162].end 8793.52596875
transcript.pyannote[2163].speaker SPEAKER_24
transcript.pyannote[2163].start 8793.96471875
transcript.pyannote[2163].end 8795.44971875
transcript.pyannote[2164].speaker SPEAKER_24
transcript.pyannote[2164].start 8796.15846875
transcript.pyannote[2164].end 8797.44096875
transcript.pyannote[2165].speaker SPEAKER_24
transcript.pyannote[2165].start 8797.91346875
transcript.pyannote[2165].end 8802.23346875
transcript.pyannote[2166].speaker SPEAKER_24
transcript.pyannote[2166].start 8802.73971875
transcript.pyannote[2166].end 8804.54534375
transcript.pyannote[2167].speaker SPEAKER_24
transcript.pyannote[2167].start 8805.08534375
transcript.pyannote[2167].end 8807.14409375
transcript.pyannote[2168].speaker SPEAKER_24
transcript.pyannote[2168].start 8807.46471875
transcript.pyannote[2168].end 8815.96971875
transcript.pyannote[2169].speaker SPEAKER_00
transcript.pyannote[2169].start 8809.11846875
transcript.pyannote[2169].end 8809.23659375
transcript.pyannote[2170].speaker SPEAKER_07
transcript.pyannote[2170].start 8810.18159375
transcript.pyannote[2170].end 8810.77221875
transcript.pyannote[2171].speaker SPEAKER_07
transcript.pyannote[2171].start 8815.53096875
transcript.pyannote[2171].end 8815.63221875
transcript.pyannote[2172].speaker SPEAKER_07
transcript.pyannote[2172].start 8815.96971875
transcript.pyannote[2172].end 8816.03721875
transcript.pyannote[2173].speaker SPEAKER_24
transcript.pyannote[2173].start 8816.03721875
transcript.pyannote[2173].end 8816.07096875
transcript.pyannote[2174].speaker SPEAKER_07
transcript.pyannote[2174].start 8816.07096875
transcript.pyannote[2174].end 8816.32409375
transcript.pyannote[2175].speaker SPEAKER_24
transcript.pyannote[2175].start 8816.32409375
transcript.pyannote[2175].end 8818.68659375
transcript.pyannote[2176].speaker SPEAKER_07
transcript.pyannote[2176].start 8816.34096875
transcript.pyannote[2176].end 8816.69534375
transcript.pyannote[2177].speaker SPEAKER_24
transcript.pyannote[2177].start 8818.92284375
transcript.pyannote[2177].end 8823.76596875
transcript.pyannote[2178].speaker SPEAKER_07
transcript.pyannote[2178].start 8819.02409375
transcript.pyannote[2178].end 8820.86346875
transcript.pyannote[2179].speaker SPEAKER_07
transcript.pyannote[2179].start 8822.95596875
transcript.pyannote[2179].end 8825.26784375
transcript.pyannote[2180].speaker SPEAKER_24
transcript.pyannote[2180].start 8825.26784375
transcript.pyannote[2180].end 8826.93846875
transcript.pyannote[2181].speaker SPEAKER_07
transcript.pyannote[2181].start 8825.84159375
transcript.pyannote[2181].end 8827.52909375
transcript.pyannote[2182].speaker SPEAKER_27
transcript.pyannote[2182].start 8828.94659375
transcript.pyannote[2182].end 8831.42721875
transcript.pyannote[2183].speaker SPEAKER_27
transcript.pyannote[2183].start 8831.68034375
transcript.pyannote[2183].end 8832.91221875
transcript.pyannote[2184].speaker SPEAKER_27
transcript.pyannote[2184].start 8833.03034375
transcript.pyannote[2184].end 8834.81909375
transcript.pyannote[2185].speaker SPEAKER_03
transcript.pyannote[2185].start 8858.83221875
transcript.pyannote[2185].end 8858.89971875
transcript.pyannote[2186].speaker SPEAKER_03
transcript.pyannote[2186].start 8858.93346875
transcript.pyannote[2186].end 8859.16971875
transcript.pyannote[2187].speaker SPEAKER_04
transcript.pyannote[2187].start 8869.58159375
transcript.pyannote[2187].end 8880.44909375
transcript.pyannote[2188].speaker SPEAKER_04
transcript.pyannote[2188].start 8880.97221875
transcript.pyannote[2188].end 8881.12409375
transcript.pyannote[2189].speaker SPEAKER_04
transcript.pyannote[2189].start 8881.52909375
transcript.pyannote[2189].end 8882.15346875
transcript.pyannote[2190].speaker SPEAKER_12
transcript.pyannote[2190].start 8885.32596875
transcript.pyannote[2190].end 8897.03721875
transcript.pyannote[2191].speaker SPEAKER_12
transcript.pyannote[2191].start 8899.63596875
transcript.pyannote[2191].end 8902.90971875
transcript.pyannote[2192].speaker SPEAKER_05
transcript.pyannote[2192].start 8902.90971875
transcript.pyannote[2192].end 8904.02346875
transcript.pyannote[2193].speaker SPEAKER_12
transcript.pyannote[2193].start 8904.02346875
transcript.pyannote[2193].end 8904.79971875
transcript.pyannote[2194].speaker SPEAKER_05
transcript.pyannote[2194].start 8904.79971875
transcript.pyannote[2194].end 8905.74471875
transcript.pyannote[2195].speaker SPEAKER_12
transcript.pyannote[2195].start 8905.96409375
transcript.pyannote[2195].end 8906.03159375
transcript.pyannote[2196].speaker SPEAKER_05
transcript.pyannote[2196].start 8906.20034375
transcript.pyannote[2196].end 8907.76971875
transcript.pyannote[2197].speaker SPEAKER_12
transcript.pyannote[2197].start 8908.07346875
transcript.pyannote[2197].end 8908.46159375
transcript.pyannote[2198].speaker SPEAKER_05
transcript.pyannote[2198].start 8908.46159375
transcript.pyannote[2198].end 8908.73159375
transcript.pyannote[2199].speaker SPEAKER_12
transcript.pyannote[2199].start 8908.73159375
transcript.pyannote[2199].end 8909.91284375
transcript.pyannote[2200].speaker SPEAKER_05
transcript.pyannote[2200].start 8908.96784375
transcript.pyannote[2200].end 8909.05221875
transcript.pyannote[2201].speaker SPEAKER_04
transcript.pyannote[2201].start 8909.05221875
transcript.pyannote[2201].end 8909.10284375
transcript.pyannote[2202].speaker SPEAKER_05
transcript.pyannote[2202].start 8909.10284375
transcript.pyannote[2202].end 8910.04784375
transcript.pyannote[2203].speaker SPEAKER_04
transcript.pyannote[2203].start 8909.91284375
transcript.pyannote[2203].end 8912.71409375
transcript.pyannote[2204].speaker SPEAKER_12
transcript.pyannote[2204].start 8910.04784375
transcript.pyannote[2204].end 8910.08159375
transcript.pyannote[2205].speaker SPEAKER_05
transcript.pyannote[2205].start 8910.08159375
transcript.pyannote[2205].end 8910.11534375
transcript.pyannote[2206].speaker SPEAKER_12
transcript.pyannote[2206].start 8910.75659375
transcript.pyannote[2206].end 8911.02659375
transcript.pyannote[2207].speaker SPEAKER_12
transcript.pyannote[2207].start 8911.90409375
transcript.pyannote[2207].end 8912.46096875
transcript.pyannote[2208].speaker SPEAKER_04
transcript.pyannote[2208].start 8913.01784375
transcript.pyannote[2208].end 8913.81096875
transcript.pyannote[2209].speaker SPEAKER_04
transcript.pyannote[2209].start 8914.16534375
transcript.pyannote[2209].end 8915.02596875
transcript.pyannote[2210].speaker SPEAKER_04
transcript.pyannote[2210].start 8915.17784375
transcript.pyannote[2210].end 8916.20721875
transcript.pyannote[2211].speaker SPEAKER_04
transcript.pyannote[2211].start 8917.11846875
transcript.pyannote[2211].end 8922.26534375
transcript.pyannote[2212].speaker SPEAKER_21
transcript.pyannote[2212].start 8934.07784375
transcript.pyannote[2212].end 8934.97221875
transcript.pyannote[2213].speaker SPEAKER_26
transcript.pyannote[2213].start 8934.97221875
transcript.pyannote[2213].end 8935.00596875
transcript.pyannote[2214].speaker SPEAKER_04
transcript.pyannote[2214].start 8937.68909375
transcript.pyannote[2214].end 8937.73971875
transcript.pyannote[2215].speaker SPEAKER_26
transcript.pyannote[2215].start 8937.73971875
transcript.pyannote[2215].end 8938.06034375
transcript.pyannote[2216].speaker SPEAKER_26
transcript.pyannote[2216].start 8938.81971875
transcript.pyannote[2216].end 8939.03909375
transcript.pyannote[2217].speaker SPEAKER_04
transcript.pyannote[2217].start 8939.03909375
transcript.pyannote[2217].end 8939.29221875
transcript.pyannote[2218].speaker SPEAKER_26
transcript.pyannote[2218].start 8939.29221875
transcript.pyannote[2218].end 8939.35971875
transcript.pyannote[2219].speaker SPEAKER_26
transcript.pyannote[2219].start 8942.41409375
transcript.pyannote[2219].end 8942.43096875
transcript.pyannote[2220].speaker SPEAKER_04
transcript.pyannote[2220].start 8942.43096875
transcript.pyannote[2220].end 8942.44784375
transcript.pyannote[2221].speaker SPEAKER_26
transcript.pyannote[2221].start 8942.44784375
transcript.pyannote[2221].end 8942.98784375
transcript.pyannote[2222].speaker SPEAKER_04
transcript.pyannote[2222].start 8942.98784375
transcript.pyannote[2222].end 8943.15659375
transcript.pyannote[2223].speaker SPEAKER_26
transcript.pyannote[2223].start 8943.15659375
transcript.pyannote[2223].end 8943.22409375
transcript.pyannote[2224].speaker SPEAKER_04
transcript.pyannote[2224].start 8943.22409375
transcript.pyannote[2224].end 8943.25784375
transcript.pyannote[2225].speaker SPEAKER_26
transcript.pyannote[2225].start 8943.25784375
transcript.pyannote[2225].end 8943.64596875
transcript.pyannote[2226].speaker SPEAKER_04
transcript.pyannote[2226].start 8943.64596875
transcript.pyannote[2226].end 8943.66284375
transcript.pyannote[2227].speaker SPEAKER_26
transcript.pyannote[2227].start 8943.66284375
transcript.pyannote[2227].end 8943.71346875
transcript.pyannote[2228].speaker SPEAKER_04
transcript.pyannote[2228].start 8945.35034375
transcript.pyannote[2228].end 8945.48534375
transcript.pyannote[2229].speaker SPEAKER_26
transcript.pyannote[2229].start 8945.48534375
transcript.pyannote[2229].end 8945.50221875
transcript.pyannote[2230].speaker SPEAKER_26
transcript.pyannote[2230].start 8945.94096875
transcript.pyannote[2230].end 8947.57784375
transcript.pyannote[2231].speaker SPEAKER_20
transcript.pyannote[2231].start 8947.78034375
transcript.pyannote[2231].end 8947.81409375
transcript.pyannote[2232].speaker SPEAKER_05
transcript.pyannote[2232].start 8947.81409375
transcript.pyannote[2232].end 8947.86471875
transcript.pyannote[2233].speaker SPEAKER_20
transcript.pyannote[2233].start 8947.86471875
transcript.pyannote[2233].end 8948.26971875
transcript.pyannote[2234].speaker SPEAKER_12
transcript.pyannote[2234].start 8948.26971875
transcript.pyannote[2234].end 8949.14721875
transcript.pyannote[2235].speaker SPEAKER_05
transcript.pyannote[2235].start 8949.14721875
transcript.pyannote[2235].end 8949.31596875
transcript.pyannote[2236].speaker SPEAKER_12
transcript.pyannote[2236].start 8949.31596875
transcript.pyannote[2236].end 8949.33284375
transcript.pyannote[2237].speaker SPEAKER_12
transcript.pyannote[2237].start 8960.58846875
transcript.pyannote[2237].end 8961.53346875
transcript.pyannote[2238].speaker SPEAKER_04
transcript.pyannote[2238].start 8979.06659375
transcript.pyannote[2238].end 8989.02284375
transcript.pyannote[2239].speaker SPEAKER_04
transcript.pyannote[2239].start 8992.80284375
transcript.pyannote[2239].end 8993.07284375
transcript.pyannote[2240].speaker SPEAKER_04
transcript.pyannote[2240].start 8995.99221875
transcript.pyannote[2240].end 8996.09346875
transcript.pyannote[2241].speaker SPEAKER_04
transcript.pyannote[2241].start 8997.05534375
transcript.pyannote[2241].end 8998.20284375
transcript.pyannote[2242].speaker SPEAKER_05
transcript.pyannote[2242].start 8998.60784375
transcript.pyannote[2242].end 9001.35846875
transcript.pyannote[2243].speaker SPEAKER_04
transcript.pyannote[2243].start 8999.18159375
transcript.pyannote[2243].end 9004.51409375
transcript.pyannote[2244].speaker SPEAKER_04
transcript.pyannote[2244].start 9004.76721875
transcript.pyannote[2244].end 9005.03721875
transcript.pyannote[2245].speaker SPEAKER_12
transcript.pyannote[2245].start 9005.03721875
transcript.pyannote[2245].end 9005.12159375
transcript.pyannote[2246].speaker SPEAKER_04
transcript.pyannote[2246].start 9005.12159375
transcript.pyannote[2246].end 9005.52659375
transcript.pyannote[2247].speaker SPEAKER_12
transcript.pyannote[2247].start 9005.52659375
transcript.pyannote[2247].end 9005.71221875
transcript.pyannote[2248].speaker SPEAKER_04
transcript.pyannote[2248].start 9005.71221875
transcript.pyannote[2248].end 9006.03284375
transcript.pyannote[2249].speaker SPEAKER_12
transcript.pyannote[2249].start 9006.03284375
transcript.pyannote[2249].end 9012.64784375
transcript.pyannote[2250].speaker SPEAKER_12
transcript.pyannote[2250].start 9013.33971875
transcript.pyannote[2250].end 9013.60971875
transcript.pyannote[2251].speaker SPEAKER_12
transcript.pyannote[2251].start 9015.07784375
transcript.pyannote[2251].end 9016.96784375
transcript.pyannote[2252].speaker SPEAKER_12
transcript.pyannote[2252].start 9027.48096875
transcript.pyannote[2252].end 9035.02409375
transcript.pyannote[2253].speaker SPEAKER_20
transcript.pyannote[2253].start 9032.27346875
transcript.pyannote[2253].end 9032.61096875
transcript.pyannote[2254].speaker SPEAKER_12
transcript.pyannote[2254].start 9061.39971875
transcript.pyannote[2254].end 9064.96034375
transcript.pyannote[2255].speaker SPEAKER_04
transcript.pyannote[2255].start 9067.35659375
transcript.pyannote[2255].end 9067.37346875
transcript.pyannote[2256].speaker SPEAKER_04
transcript.pyannote[2256].start 9067.71096875
transcript.pyannote[2256].end 9067.94721875
transcript.pyannote[2257].speaker SPEAKER_12
transcript.pyannote[2257].start 9067.94721875
transcript.pyannote[2257].end 9068.11596875
transcript.pyannote[2258].speaker SPEAKER_04
transcript.pyannote[2258].start 9068.11596875
transcript.pyannote[2258].end 9068.14971875
transcript.pyannote[2259].speaker SPEAKER_05
transcript.pyannote[2259].start 9068.14971875
transcript.pyannote[2259].end 9068.30159375
transcript.pyannote[2260].speaker SPEAKER_04
transcript.pyannote[2260].start 9068.30159375
transcript.pyannote[2260].end 9068.31846875
transcript.pyannote[2261].speaker SPEAKER_05
transcript.pyannote[2261].start 9072.65534375
transcript.pyannote[2261].end 9072.92534375
transcript.pyannote[2262].speaker SPEAKER_05
transcript.pyannote[2262].start 9072.97596875
transcript.pyannote[2262].end 9072.99284375
transcript.pyannote[2263].speaker SPEAKER_05
transcript.pyannote[2263].start 9073.93784375
transcript.pyannote[2263].end 9074.68034375
transcript.pyannote[2264].speaker SPEAKER_05
transcript.pyannote[2264].start 9075.96284375
transcript.pyannote[2264].end 9076.03034375
transcript.pyannote[2265].speaker SPEAKER_05
transcript.pyannote[2265].start 9077.17784375
transcript.pyannote[2265].end 9078.83159375
transcript.pyannote[2266].speaker SPEAKER_05
transcript.pyannote[2266].start 9079.00034375
transcript.pyannote[2266].end 9079.01721875
transcript.pyannote[2267].speaker SPEAKER_25
transcript.pyannote[2267].start 9091.16721875
transcript.pyannote[2267].end 9091.57221875
transcript.pyannote[2268].speaker SPEAKER_25
transcript.pyannote[2268].start 9093.69846875
transcript.pyannote[2268].end 9093.76596875
transcript.pyannote[2269].speaker SPEAKER_25
transcript.pyannote[2269].start 9093.79971875
transcript.pyannote[2269].end 9094.13721875
transcript.pyannote[2270].speaker SPEAKER_25
transcript.pyannote[2270].start 9095.77409375
transcript.pyannote[2270].end 9096.02721875
transcript.pyannote[2271].speaker SPEAKER_05
transcript.pyannote[2271].start 9096.02721875
transcript.pyannote[2271].end 9096.19596875
transcript.pyannote[2272].speaker SPEAKER_05
transcript.pyannote[2272].start 9096.71909375
transcript.pyannote[2272].end 9102.03471875
transcript.pyannote[2273].speaker SPEAKER_06
transcript.pyannote[2273].start 9102.03471875
transcript.pyannote[2273].end 9102.27096875
transcript.pyannote[2274].speaker SPEAKER_05
transcript.pyannote[2274].start 9102.27096875
transcript.pyannote[2274].end 9102.45659375
transcript.pyannote[2275].speaker SPEAKER_06
transcript.pyannote[2275].start 9102.45659375
transcript.pyannote[2275].end 9118.97721875
transcript.pyannote[2276].speaker SPEAKER_04
transcript.pyannote[2276].start 9114.11721875
transcript.pyannote[2276].end 9115.26471875
transcript.pyannote[2277].speaker SPEAKER_04
transcript.pyannote[2277].start 9115.46721875
transcript.pyannote[2277].end 9115.73721875
transcript.pyannote[2278].speaker SPEAKER_04
transcript.pyannote[2278].start 9118.97721875
transcript.pyannote[2278].end 9120.66471875
transcript.pyannote[2279].speaker SPEAKER_04
transcript.pyannote[2279].start 9121.60971875
transcript.pyannote[2279].end 9130.38471875
transcript.pyannote[2280].speaker SPEAKER_05
transcript.pyannote[2280].start 9129.94596875
transcript.pyannote[2280].end 9130.45221875
transcript.pyannote[2281].speaker SPEAKER_04
transcript.pyannote[2281].start 9130.45221875
transcript.pyannote[2281].end 9130.97534375
transcript.pyannote[2282].speaker SPEAKER_05
transcript.pyannote[2282].start 9130.97534375
transcript.pyannote[2282].end 9136.05471875
transcript.pyannote[2283].speaker SPEAKER_04
transcript.pyannote[2283].start 9133.38846875
transcript.pyannote[2283].end 9133.64159375
transcript.pyannote[2284].speaker SPEAKER_05
transcript.pyannote[2284].start 9137.86034375
transcript.pyannote[2284].end 9139.15971875
transcript.pyannote[2285].speaker SPEAKER_05
transcript.pyannote[2285].start 9140.07096875
transcript.pyannote[2285].end 9144.96471875
transcript.pyannote[2286].speaker SPEAKER_04
transcript.pyannote[2286].start 9142.02846875
transcript.pyannote[2286].end 9142.55159375
transcript.pyannote[2287].speaker SPEAKER_04
transcript.pyannote[2287].start 9144.96471875
transcript.pyannote[2287].end 9145.20096875
transcript.pyannote[2288].speaker SPEAKER_05
transcript.pyannote[2288].start 9145.20096875
transcript.pyannote[2288].end 9145.23471875
transcript.pyannote[2289].speaker SPEAKER_04
transcript.pyannote[2289].start 9145.23471875
transcript.pyannote[2289].end 9155.68034375
transcript.pyannote[2290].speaker SPEAKER_05
transcript.pyannote[2290].start 9148.49159375
transcript.pyannote[2290].end 9148.91346875
transcript.pyannote[2291].speaker SPEAKER_00
transcript.pyannote[2291].start 9149.60534375
transcript.pyannote[2291].end 9149.77409375
transcript.pyannote[2292].speaker SPEAKER_04
transcript.pyannote[2292].start 9156.55784375
transcript.pyannote[2292].end 9158.12721875
transcript.pyannote[2293].speaker SPEAKER_04
transcript.pyannote[2293].start 9158.32971875
transcript.pyannote[2293].end 9162.97034375
transcript.pyannote[2294].speaker SPEAKER_05
transcript.pyannote[2294].start 9159.22409375
transcript.pyannote[2294].end 9159.86534375
transcript.pyannote[2295].speaker SPEAKER_05
transcript.pyannote[2295].start 9160.55721875
transcript.pyannote[2295].end 9160.74284375
transcript.pyannote[2296].speaker SPEAKER_05
transcript.pyannote[2296].start 9162.97034375
transcript.pyannote[2296].end 9169.99034375
transcript.pyannote[2297].speaker SPEAKER_04
transcript.pyannote[2297].start 9165.87284375
transcript.pyannote[2297].end 9166.41284375
transcript.pyannote[2298].speaker SPEAKER_04
transcript.pyannote[2298].start 9166.49721875
transcript.pyannote[2298].end 9166.93596875
transcript.pyannote[2299].speaker SPEAKER_05
transcript.pyannote[2299].start 9170.14221875
transcript.pyannote[2299].end 9173.34846875
transcript.pyannote[2300].speaker SPEAKER_06
transcript.pyannote[2300].start 9170.29409375
transcript.pyannote[2300].end 9170.36159375
transcript.pyannote[2301].speaker SPEAKER_05
transcript.pyannote[2301].start 9174.96846875
transcript.pyannote[2301].end 9176.79096875
transcript.pyannote[2302].speaker SPEAKER_05
transcript.pyannote[2302].start 9177.17909375
transcript.pyannote[2302].end 9177.22971875
transcript.pyannote[2303].speaker SPEAKER_05
transcript.pyannote[2303].start 9177.53346875
transcript.pyannote[2303].end 9178.09034375
transcript.pyannote[2304].speaker SPEAKER_06
transcript.pyannote[2304].start 9178.09034375
transcript.pyannote[2304].end 9178.15784375
transcript.pyannote[2305].speaker SPEAKER_05
transcript.pyannote[2305].start 9178.15784375
transcript.pyannote[2305].end 9178.22534375
transcript.pyannote[2306].speaker SPEAKER_06
transcript.pyannote[2306].start 9178.22534375
transcript.pyannote[2306].end 9183.05159375
transcript.pyannote[2307].speaker SPEAKER_06
transcript.pyannote[2307].start 9183.60846875
transcript.pyannote[2307].end 9186.96659375
transcript.pyannote[2308].speaker SPEAKER_04
transcript.pyannote[2308].start 9186.96659375
transcript.pyannote[2308].end 9187.13534375
transcript.pyannote[2309].speaker SPEAKER_04
transcript.pyannote[2309].start 9187.86096875
transcript.pyannote[2309].end 9189.09284375
transcript.pyannote[2310].speaker SPEAKER_20
transcript.pyannote[2310].start 9189.09284375
transcript.pyannote[2310].end 9189.26159375
transcript.pyannote[2311].speaker SPEAKER_04
transcript.pyannote[2311].start 9189.26159375
transcript.pyannote[2311].end 9191.11784375
transcript.pyannote[2312].speaker SPEAKER_27
transcript.pyannote[2312].start 9339.51659375
transcript.pyannote[2312].end 9341.13659375
transcript.pyannote[2313].speaker SPEAKER_27
transcript.pyannote[2313].start 9341.45721875
transcript.pyannote[2313].end 9344.54534375
transcript.pyannote[2314].speaker SPEAKER_16
transcript.pyannote[2314].start 9351.64971875
transcript.pyannote[2314].end 9355.68284375
transcript.pyannote[2315].speaker SPEAKER_27
transcript.pyannote[2315].start 9356.69534375
transcript.pyannote[2315].end 9356.71221875
transcript.pyannote[2316].speaker SPEAKER_11
transcript.pyannote[2316].start 9356.71221875
transcript.pyannote[2316].end 9357.75846875
transcript.pyannote[2317].speaker SPEAKER_16
transcript.pyannote[2317].start 9357.92721875
transcript.pyannote[2317].end 9360.08721875
transcript.pyannote[2318].speaker SPEAKER_16
transcript.pyannote[2318].start 9360.25596875
transcript.pyannote[2318].end 9360.91409375
transcript.pyannote[2319].speaker SPEAKER_11
transcript.pyannote[2319].start 9361.90971875
transcript.pyannote[2319].end 9361.92659375
transcript.pyannote[2320].speaker SPEAKER_16
transcript.pyannote[2320].start 9361.92659375
transcript.pyannote[2320].end 9362.09534375
transcript.pyannote[2321].speaker SPEAKER_16
transcript.pyannote[2321].start 9364.84596875
transcript.pyannote[2321].end 9365.25096875
transcript.pyannote[2322].speaker SPEAKER_16
transcript.pyannote[2322].start 9366.38159375
transcript.pyannote[2322].end 9367.25909375
transcript.pyannote[2323].speaker SPEAKER_16
transcript.pyannote[2323].start 9367.46159375
transcript.pyannote[2323].end 9368.54159375
transcript.pyannote[2324].speaker SPEAKER_20
transcript.pyannote[2324].start 9367.49534375
transcript.pyannote[2324].end 9368.74409375
transcript.pyannote[2325].speaker SPEAKER_16
transcript.pyannote[2325].start 9369.82409375
transcript.pyannote[2325].end 9370.38096875
transcript.pyannote[2326].speaker SPEAKER_16
transcript.pyannote[2326].start 9370.87034375
transcript.pyannote[2326].end 9375.74721875
transcript.pyannote[2327].speaker SPEAKER_16
transcript.pyannote[2327].start 9376.06784375
transcript.pyannote[2327].end 9383.40846875
transcript.pyannote[2328].speaker SPEAKER_16
transcript.pyannote[2328].start 9383.83034375
transcript.pyannote[2328].end 9386.47971875
transcript.pyannote[2329].speaker SPEAKER_16
transcript.pyannote[2329].start 9386.83409375
transcript.pyannote[2329].end 9388.26846875
transcript.pyannote[2330].speaker SPEAKER_16
transcript.pyannote[2330].start 9388.80846875
transcript.pyannote[2330].end 9408.06284375
transcript.pyannote[2331].speaker SPEAKER_16
transcript.pyannote[2331].start 9408.23159375
transcript.pyannote[2331].end 9411.04971875
transcript.pyannote[2332].speaker SPEAKER_16
transcript.pyannote[2332].start 9411.65721875
transcript.pyannote[2332].end 9413.37846875
transcript.pyannote[2333].speaker SPEAKER_03
transcript.pyannote[2333].start 9413.68221875
transcript.pyannote[2333].end 9414.88034375
transcript.pyannote[2334].speaker SPEAKER_03
transcript.pyannote[2334].start 9415.38659375
transcript.pyannote[2334].end 9417.98534375
transcript.pyannote[2335].speaker SPEAKER_03
transcript.pyannote[2335].start 9418.22159375
transcript.pyannote[2335].end 9423.04784375
transcript.pyannote[2336].speaker SPEAKER_03
transcript.pyannote[2336].start 9423.31784375
transcript.pyannote[2336].end 9424.65096875
transcript.pyannote[2337].speaker SPEAKER_03
transcript.pyannote[2337].start 9424.92096875
transcript.pyannote[2337].end 9428.71784375
transcript.pyannote[2338].speaker SPEAKER_03
transcript.pyannote[2338].start 9428.98784375
transcript.pyannote[2338].end 9430.30409375
transcript.pyannote[2339].speaker SPEAKER_16
transcript.pyannote[2339].start 9430.89471875
transcript.pyannote[2339].end 9434.96159375
transcript.pyannote[2340].speaker SPEAKER_16
transcript.pyannote[2340].start 9435.26534375
transcript.pyannote[2340].end 9436.96971875
transcript.pyannote[2341].speaker SPEAKER_16
transcript.pyannote[2341].start 9437.62784375
transcript.pyannote[2341].end 9438.33659375
transcript.pyannote[2342].speaker SPEAKER_16
transcript.pyannote[2342].start 9438.92721875
transcript.pyannote[2342].end 9447.61784375
transcript.pyannote[2343].speaker SPEAKER_16
transcript.pyannote[2343].start 9448.03971875
transcript.pyannote[2343].end 9456.40971875
transcript.pyannote[2344].speaker SPEAKER_16
transcript.pyannote[2344].start 9457.35471875
transcript.pyannote[2344].end 9458.50221875
transcript.pyannote[2345].speaker SPEAKER_16
transcript.pyannote[2345].start 9458.99159375
transcript.pyannote[2345].end 9464.76284375
transcript.pyannote[2346].speaker SPEAKER_16
transcript.pyannote[2346].start 9464.91471875
transcript.pyannote[2346].end 9473.45346875
transcript.pyannote[2347].speaker SPEAKER_16
transcript.pyannote[2347].start 9474.26346875
transcript.pyannote[2347].end 9514.07159375
transcript.pyannote[2348].speaker SPEAKER_16
transcript.pyannote[2348].start 9515.03346875
transcript.pyannote[2348].end 9518.39159375
transcript.pyannote[2349].speaker SPEAKER_16
transcript.pyannote[2349].start 9518.56034375
transcript.pyannote[2349].end 9521.88471875
transcript.pyannote[2350].speaker SPEAKER_16
transcript.pyannote[2350].start 9522.07034375
transcript.pyannote[2350].end 9526.55909375
transcript.pyannote[2351].speaker SPEAKER_16
transcript.pyannote[2351].start 9527.52096875
transcript.pyannote[2351].end 9530.08596875
transcript.pyannote[2352].speaker SPEAKER_16
transcript.pyannote[2352].start 9530.81159375
transcript.pyannote[2352].end 9563.19471875
transcript.pyannote[2353].speaker SPEAKER_16
transcript.pyannote[2353].start 9563.29596875
transcript.pyannote[2353].end 9576.79596875
transcript.pyannote[2354].speaker SPEAKER_03
transcript.pyannote[2354].start 9577.96034375
transcript.pyannote[2354].end 9583.59659375
transcript.pyannote[2355].speaker SPEAKER_03
transcript.pyannote[2355].start 9583.61346875
transcript.pyannote[2355].end 9584.38971875
transcript.pyannote[2356].speaker SPEAKER_03
transcript.pyannote[2356].start 9584.59221875
transcript.pyannote[2356].end 9586.95471875
transcript.pyannote[2357].speaker SPEAKER_16
transcript.pyannote[2357].start 9584.62596875
transcript.pyannote[2357].end 9585.50346875
transcript.pyannote[2358].speaker SPEAKER_16
transcript.pyannote[2358].start 9585.60471875
transcript.pyannote[2358].end 9587.12346875
transcript.pyannote[2359].speaker SPEAKER_16
transcript.pyannote[2359].start 9587.66346875
transcript.pyannote[2359].end 9618.29159375
transcript.pyannote[2360].speaker SPEAKER_16
transcript.pyannote[2360].start 9618.81471875
transcript.pyannote[2360].end 9623.79284375
transcript.pyannote[2361].speaker SPEAKER_16
transcript.pyannote[2361].start 9623.92784375
transcript.pyannote[2361].end 9632.82096875
transcript.pyannote[2362].speaker SPEAKER_16
transcript.pyannote[2362].start 9633.42846875
transcript.pyannote[2362].end 9649.86471875
transcript.pyannote[2363].speaker SPEAKER_03
transcript.pyannote[2363].start 9649.86471875
transcript.pyannote[2363].end 9651.61971875
transcript.pyannote[2364].speaker SPEAKER_16
transcript.pyannote[2364].start 9649.88159375
transcript.pyannote[2364].end 9650.65784375
transcript.pyannote[2365].speaker SPEAKER_03
transcript.pyannote[2365].start 9651.72096875
transcript.pyannote[2365].end 9657.71159375
transcript.pyannote[2366].speaker SPEAKER_03
transcript.pyannote[2366].start 9658.15034375
transcript.pyannote[2366].end 9659.73659375
transcript.pyannote[2367].speaker SPEAKER_03
transcript.pyannote[2367].start 9660.24284375
transcript.pyannote[2367].end 9660.85034375
transcript.pyannote[2368].speaker SPEAKER_03
transcript.pyannote[2368].start 9661.00221875
transcript.pyannote[2368].end 9663.43221875
transcript.pyannote[2369].speaker SPEAKER_03
transcript.pyannote[2369].start 9663.83721875
transcript.pyannote[2369].end 9668.42721875
transcript.pyannote[2370].speaker SPEAKER_03
transcript.pyannote[2370].start 9668.59596875
transcript.pyannote[2370].end 9674.62034375
transcript.pyannote[2371].speaker SPEAKER_16
transcript.pyannote[2371].start 9673.77659375
transcript.pyannote[2371].end 9682.97346875
transcript.pyannote[2372].speaker SPEAKER_16
transcript.pyannote[2372].start 9683.69909375
transcript.pyannote[2372].end 9693.53721875
transcript.pyannote[2373].speaker SPEAKER_16
transcript.pyannote[2373].start 9693.87471875
transcript.pyannote[2373].end 9705.50159375
transcript.pyannote[2374].speaker SPEAKER_16
transcript.pyannote[2374].start 9706.24409375
transcript.pyannote[2374].end 9707.93159375
transcript.pyannote[2375].speaker SPEAKER_16
transcript.pyannote[2375].start 9708.30284375
transcript.pyannote[2375].end 9709.68659375
transcript.pyannote[2376].speaker SPEAKER_03
transcript.pyannote[2376].start 9710.04096875
transcript.pyannote[2376].end 9710.05784375
transcript.pyannote[2377].speaker SPEAKER_16
transcript.pyannote[2377].start 9710.05784375
transcript.pyannote[2377].end 9710.07471875
transcript.pyannote[2378].speaker SPEAKER_03
transcript.pyannote[2378].start 9710.07471875
transcript.pyannote[2378].end 9710.37846875
transcript.pyannote[2379].speaker SPEAKER_16
transcript.pyannote[2379].start 9710.56409375
transcript.pyannote[2379].end 9719.08596875
transcript.pyannote[2380].speaker SPEAKER_16
transcript.pyannote[2380].start 9719.35596875
transcript.pyannote[2380].end 9773.33909375
transcript.pyannote[2381].speaker SPEAKER_16
transcript.pyannote[2381].start 9773.92971875
transcript.pyannote[2381].end 9804.92909375
transcript.pyannote[2382].speaker SPEAKER_03
transcript.pyannote[2382].start 9805.33409375
transcript.pyannote[2382].end 9807.07221875
transcript.pyannote[2383].speaker SPEAKER_16
transcript.pyannote[2383].start 9807.10596875
transcript.pyannote[2383].end 9808.38846875
transcript.pyannote[2384].speaker SPEAKER_27
transcript.pyannote[2384].start 9812.25284375
transcript.pyannote[2384].end 9813.90659375
transcript.pyannote[2385].speaker SPEAKER_27
transcript.pyannote[2385].start 9814.10909375
transcript.pyannote[2385].end 9814.49721875
transcript.pyannote[2386].speaker SPEAKER_27
transcript.pyannote[2386].start 9814.86846875
transcript.pyannote[2386].end 9816.99471875
transcript.pyannote[2387].speaker SPEAKER_22
transcript.pyannote[2387].start 9826.68096875
transcript.pyannote[2387].end 9827.65971875
transcript.pyannote[2388].speaker SPEAKER_22
transcript.pyannote[2388].start 9828.16596875
transcript.pyannote[2388].end 9830.95034375
transcript.pyannote[2389].speaker SPEAKER_27
transcript.pyannote[2389].start 9831.33846875
transcript.pyannote[2389].end 9831.87846875
transcript.pyannote[2390].speaker SPEAKER_22
transcript.pyannote[2390].start 9831.87846875
transcript.pyannote[2390].end 9831.96284375
transcript.pyannote[2391].speaker SPEAKER_27
transcript.pyannote[2391].start 9831.96284375
transcript.pyannote[2391].end 9832.33409375
transcript.pyannote[2392].speaker SPEAKER_22
transcript.pyannote[2392].start 9832.33409375
transcript.pyannote[2392].end 9832.38471875
transcript.pyannote[2393].speaker SPEAKER_27
transcript.pyannote[2393].start 9832.38471875
transcript.pyannote[2393].end 9832.45221875
transcript.pyannote[2394].speaker SPEAKER_22
transcript.pyannote[2394].start 9832.45221875
transcript.pyannote[2394].end 9832.63784375
transcript.pyannote[2395].speaker SPEAKER_22
transcript.pyannote[2395].start 9840.14721875
transcript.pyannote[2395].end 9840.82221875
transcript.pyannote[2396].speaker SPEAKER_22
transcript.pyannote[2396].start 9840.97409375
transcript.pyannote[2396].end 9842.13846875
transcript.pyannote[2397].speaker SPEAKER_22
transcript.pyannote[2397].start 9842.72909375
transcript.pyannote[2397].end 9844.36596875
transcript.pyannote[2398].speaker SPEAKER_22
transcript.pyannote[2398].start 9845.19284375
transcript.pyannote[2398].end 9851.80784375
transcript.pyannote[2399].speaker SPEAKER_22
transcript.pyannote[2399].start 9852.49971875
transcript.pyannote[2399].end 9854.91284375
transcript.pyannote[2400].speaker SPEAKER_22
transcript.pyannote[2400].start 9855.35159375
transcript.pyannote[2400].end 9859.04721875
transcript.pyannote[2401].speaker SPEAKER_22
transcript.pyannote[2401].start 9859.67159375
transcript.pyannote[2401].end 9862.00034375
transcript.pyannote[2402].speaker SPEAKER_25
transcript.pyannote[2402].start 9860.85284375
transcript.pyannote[2402].end 9862.48971875
transcript.pyannote[2403].speaker SPEAKER_22
transcript.pyannote[2403].start 9862.62471875
transcript.pyannote[2403].end 9862.99596875
transcript.pyannote[2404].speaker SPEAKER_22
transcript.pyannote[2404].start 9863.53596875
transcript.pyannote[2404].end 9868.61534375
transcript.pyannote[2405].speaker SPEAKER_22
transcript.pyannote[2405].start 9868.85159375
transcript.pyannote[2405].end 9873.99846875
transcript.pyannote[2406].speaker SPEAKER_22
transcript.pyannote[2406].start 9874.74096875
transcript.pyannote[2406].end 9876.64784375
transcript.pyannote[2407].speaker SPEAKER_22
transcript.pyannote[2407].start 9877.22159375
transcript.pyannote[2407].end 9878.72346875
transcript.pyannote[2408].speaker SPEAKER_22
transcript.pyannote[2408].start 9879.33096875
transcript.pyannote[2408].end 9880.49534375
transcript.pyannote[2409].speaker SPEAKER_22
transcript.pyannote[2409].start 9880.88346875
transcript.pyannote[2409].end 9883.87034375
transcript.pyannote[2410].speaker SPEAKER_25
transcript.pyannote[2410].start 9884.74784375
transcript.pyannote[2410].end 9886.30034375
transcript.pyannote[2411].speaker SPEAKER_22
transcript.pyannote[2411].start 9886.30034375
transcript.pyannote[2411].end 9890.13096875
transcript.pyannote[2412].speaker SPEAKER_22
transcript.pyannote[2412].start 9890.78909375
transcript.pyannote[2412].end 9891.29534375
transcript.pyannote[2413].speaker SPEAKER_22
transcript.pyannote[2413].start 9891.63284375
transcript.pyannote[2413].end 9892.51034375
transcript.pyannote[2414].speaker SPEAKER_22
transcript.pyannote[2414].start 9896.76284375
transcript.pyannote[2414].end 9896.79659375
transcript.pyannote[2415].speaker SPEAKER_21
transcript.pyannote[2415].start 9896.79659375
transcript.pyannote[2415].end 9896.96534375
transcript.pyannote[2416].speaker SPEAKER_22
transcript.pyannote[2416].start 9896.96534375
transcript.pyannote[2416].end 9897.06659375
transcript.pyannote[2417].speaker SPEAKER_22
transcript.pyannote[2417].start 9897.11721875
transcript.pyannote[2417].end 9897.53909375
transcript.pyannote[2418].speaker SPEAKER_22
transcript.pyannote[2418].start 9897.70784375
transcript.pyannote[2418].end 9900.05346875
transcript.pyannote[2419].speaker SPEAKER_22
transcript.pyannote[2419].start 9900.45846875
transcript.pyannote[2419].end 9902.04471875
transcript.pyannote[2420].speaker SPEAKER_22
transcript.pyannote[2420].start 9903.24284375
transcript.pyannote[2420].end 9913.28346875
transcript.pyannote[2421].speaker SPEAKER_20
transcript.pyannote[2421].start 9914.22846875
transcript.pyannote[2421].end 9914.44784375
transcript.pyannote[2422].speaker SPEAKER_22
transcript.pyannote[2422].start 9914.44784375
transcript.pyannote[2422].end 9915.20721875
transcript.pyannote[2423].speaker SPEAKER_21
transcript.pyannote[2423].start 9915.20721875
transcript.pyannote[2423].end 9915.22409375
transcript.pyannote[2424].speaker SPEAKER_22
transcript.pyannote[2424].start 9915.22409375
transcript.pyannote[2424].end 9915.24096875
transcript.pyannote[2425].speaker SPEAKER_22
transcript.pyannote[2425].start 9915.37596875
transcript.pyannote[2425].end 9916.03409375
transcript.pyannote[2426].speaker SPEAKER_21
transcript.pyannote[2426].start 9916.03409375
transcript.pyannote[2426].end 9918.34596875
transcript.pyannote[2427].speaker SPEAKER_21
transcript.pyannote[2427].start 9918.70034375
transcript.pyannote[2427].end 9925.16346875
transcript.pyannote[2428].speaker SPEAKER_22
transcript.pyannote[2428].start 9924.43784375
transcript.pyannote[2428].end 9925.18034375
transcript.pyannote[2429].speaker SPEAKER_21
transcript.pyannote[2429].start 9925.18034375
transcript.pyannote[2429].end 9925.19721875
transcript.pyannote[2430].speaker SPEAKER_21
transcript.pyannote[2430].start 9925.72034375
transcript.pyannote[2430].end 9941.98784375
transcript.pyannote[2431].speaker SPEAKER_22
transcript.pyannote[2431].start 9941.76846875
transcript.pyannote[2431].end 9947.47221875
transcript.pyannote[2432].speaker SPEAKER_22
transcript.pyannote[2432].start 9948.36659375
transcript.pyannote[2432].end 9950.93159375
transcript.pyannote[2433].speaker SPEAKER_22
transcript.pyannote[2433].start 9951.40409375
transcript.pyannote[2433].end 9958.44096875
transcript.pyannote[2434].speaker SPEAKER_20
transcript.pyannote[2434].start 9958.55909375
transcript.pyannote[2434].end 9959.03159375
transcript.pyannote[2435].speaker SPEAKER_22
transcript.pyannote[2435].start 9959.01471875
transcript.pyannote[2435].end 9963.30096875
transcript.pyannote[2436].speaker SPEAKER_22
transcript.pyannote[2436].start 9963.89159375
transcript.pyannote[2436].end 9964.81971875
transcript.pyannote[2437].speaker SPEAKER_22
transcript.pyannote[2437].start 9965.07284375
transcript.pyannote[2437].end 9966.05159375
transcript.pyannote[2438].speaker SPEAKER_22
transcript.pyannote[2438].start 9966.08534375
transcript.pyannote[2438].end 9970.08471875
transcript.pyannote[2439].speaker SPEAKER_22
transcript.pyannote[2439].start 9970.96221875
transcript.pyannote[2439].end 9971.92409375
transcript.pyannote[2440].speaker SPEAKER_22
transcript.pyannote[2440].start 9972.43034375
transcript.pyannote[2440].end 9977.17221875
transcript.pyannote[2441].speaker SPEAKER_22
transcript.pyannote[2441].start 9977.22284375
transcript.pyannote[2441].end 9987.98909375
transcript.pyannote[2442].speaker SPEAKER_22
transcript.pyannote[2442].start 9988.10721875
transcript.pyannote[2442].end 9990.40221875
transcript.pyannote[2443].speaker SPEAKER_22
transcript.pyannote[2443].start 9991.17846875
transcript.pyannote[2443].end 9992.68034375
transcript.pyannote[2444].speaker SPEAKER_21
transcript.pyannote[2444].start 9992.68034375
transcript.pyannote[2444].end 9998.40096875
transcript.pyannote[2445].speaker SPEAKER_22
transcript.pyannote[2445].start 9993.69284375
transcript.pyannote[2445].end 9995.70096875
transcript.pyannote[2446].speaker SPEAKER_21
transcript.pyannote[2446].start 9998.92409375
transcript.pyannote[2446].end 10001.94471875
transcript.pyannote[2447].speaker SPEAKER_22
transcript.pyannote[2447].start 10000.37534375
transcript.pyannote[2447].end 10012.30596875
transcript.pyannote[2448].speaker SPEAKER_22
transcript.pyannote[2448].start 10013.03159375
transcript.pyannote[2448].end 10019.84909375
transcript.pyannote[2449].speaker SPEAKER_22
transcript.pyannote[2449].start 10020.35534375
transcript.pyannote[2449].end 10022.92034375
transcript.pyannote[2450].speaker SPEAKER_22
transcript.pyannote[2450].start 10023.17346875
transcript.pyannote[2450].end 10023.83159375
transcript.pyannote[2451].speaker SPEAKER_22
transcript.pyannote[2451].start 10024.52346875
transcript.pyannote[2451].end 10025.46846875
transcript.pyannote[2452].speaker SPEAKER_22
transcript.pyannote[2452].start 10025.65409375
transcript.pyannote[2452].end 10028.99534375
transcript.pyannote[2453].speaker SPEAKER_22
transcript.pyannote[2453].start 10030.21034375
transcript.pyannote[2453].end 10031.37471875
transcript.pyannote[2454].speaker SPEAKER_22
transcript.pyannote[2454].start 10032.03284375
transcript.pyannote[2454].end 10035.62721875
transcript.pyannote[2455].speaker SPEAKER_22
transcript.pyannote[2455].start 10036.18409375
transcript.pyannote[2455].end 10038.51284375
transcript.pyannote[2456].speaker SPEAKER_22
transcript.pyannote[2456].start 10039.18784375
transcript.pyannote[2456].end 10040.57159375
transcript.pyannote[2457].speaker SPEAKER_22
transcript.pyannote[2457].start 10041.49971875
transcript.pyannote[2457].end 10042.00596875
transcript.pyannote[2458].speaker SPEAKER_22
transcript.pyannote[2458].start 10042.91721875
transcript.pyannote[2458].end 10043.99721875
transcript.pyannote[2459].speaker SPEAKER_22
transcript.pyannote[2459].start 10044.35159375
transcript.pyannote[2459].end 10047.13596875
transcript.pyannote[2460].speaker SPEAKER_22
transcript.pyannote[2460].start 10047.94596875
transcript.pyannote[2460].end 10049.00909375
transcript.pyannote[2461].speaker SPEAKER_22
transcript.pyannote[2461].start 10049.59971875
transcript.pyannote[2461].end 10051.37159375
transcript.pyannote[2462].speaker SPEAKER_22
transcript.pyannote[2462].start 10051.97909375
transcript.pyannote[2462].end 10053.63284375
transcript.pyannote[2463].speaker SPEAKER_22
transcript.pyannote[2463].start 10054.79721875
transcript.pyannote[2463].end 10057.12596875
transcript.pyannote[2464].speaker SPEAKER_22
transcript.pyannote[2464].start 10057.98659375
transcript.pyannote[2464].end 10062.22221875
transcript.pyannote[2465].speaker SPEAKER_22
transcript.pyannote[2465].start 10062.55971875
transcript.pyannote[2465].end 10069.71471875
transcript.pyannote[2466].speaker SPEAKER_22
transcript.pyannote[2466].start 10069.79909375
transcript.pyannote[2466].end 10078.03409375
transcript.pyannote[2467].speaker SPEAKER_22
transcript.pyannote[2467].start 10078.38846875
transcript.pyannote[2467].end 10081.32471875
transcript.pyannote[2468].speaker SPEAKER_22
transcript.pyannote[2468].start 10081.86471875
transcript.pyannote[2468].end 10083.34971875
transcript.pyannote[2469].speaker SPEAKER_22
transcript.pyannote[2469].start 10083.68721875
transcript.pyannote[2469].end 10084.96971875
transcript.pyannote[2470].speaker SPEAKER_22
transcript.pyannote[2470].start 10089.10409375
transcript.pyannote[2470].end 10093.67721875
transcript.pyannote[2471].speaker SPEAKER_22
transcript.pyannote[2471].start 10094.35221875
transcript.pyannote[2471].end 10106.56971875
transcript.pyannote[2472].speaker SPEAKER_22
transcript.pyannote[2472].start 10106.90721875
transcript.pyannote[2472].end 10107.39659375
transcript.pyannote[2473].speaker SPEAKER_22
transcript.pyannote[2473].start 10107.68346875
transcript.pyannote[2473].end 10110.55221875
transcript.pyannote[2474].speaker SPEAKER_22
transcript.pyannote[2474].start 10110.92346875
transcript.pyannote[2474].end 10112.08784375
transcript.pyannote[2475].speaker SPEAKER_21
transcript.pyannote[2475].start 10112.34096875
transcript.pyannote[2475].end 10116.76221875
transcript.pyannote[2476].speaker SPEAKER_21
transcript.pyannote[2476].start 10116.82971875
transcript.pyannote[2476].end 10123.63034375
transcript.pyannote[2477].speaker SPEAKER_21
transcript.pyannote[2477].start 10123.83284375
transcript.pyannote[2477].end 10126.34721875
transcript.pyannote[2478].speaker SPEAKER_21
transcript.pyannote[2478].start 10127.07284375
transcript.pyannote[2478].end 10129.82346875
transcript.pyannote[2479].speaker SPEAKER_21
transcript.pyannote[2479].start 10130.44784375
transcript.pyannote[2479].end 10149.85409375
transcript.pyannote[2480].speaker SPEAKER_22
transcript.pyannote[2480].start 10131.32534375
transcript.pyannote[2480].end 10134.91971875
transcript.pyannote[2481].speaker SPEAKER_22
transcript.pyannote[2481].start 10135.57784375
transcript.pyannote[2481].end 10136.25284375
transcript.pyannote[2482].speaker SPEAKER_22
transcript.pyannote[2482].start 10148.48721875
transcript.pyannote[2482].end 10161.51471875
transcript.pyannote[2483].speaker SPEAKER_21
transcript.pyannote[2483].start 10151.57534375
transcript.pyannote[2483].end 10153.60034375
transcript.pyannote[2484].speaker SPEAKER_21
transcript.pyannote[2484].start 10153.88721875
transcript.pyannote[2484].end 10154.07284375
transcript.pyannote[2485].speaker SPEAKER_22
transcript.pyannote[2485].start 10162.05471875
transcript.pyannote[2485].end 10166.89784375
transcript.pyannote[2486].speaker SPEAKER_22
transcript.pyannote[2486].start 10167.80909375
transcript.pyannote[2486].end 10170.45846875
transcript.pyannote[2487].speaker SPEAKER_22
transcript.pyannote[2487].start 10171.06596875
transcript.pyannote[2487].end 10183.95846875
transcript.pyannote[2488].speaker SPEAKER_22
transcript.pyannote[2488].start 10184.22846875
transcript.pyannote[2488].end 10188.16034375
transcript.pyannote[2489].speaker SPEAKER_22
transcript.pyannote[2489].start 10188.90284375
transcript.pyannote[2489].end 10189.99971875
transcript.pyannote[2490].speaker SPEAKER_22
transcript.pyannote[2490].start 10190.38784375
transcript.pyannote[2490].end 10194.65721875
transcript.pyannote[2491].speaker SPEAKER_22
transcript.pyannote[2491].start 10195.80471875
transcript.pyannote[2491].end 10199.04471875
transcript.pyannote[2492].speaker SPEAKER_22
transcript.pyannote[2492].start 10199.46659375
transcript.pyannote[2492].end 10206.23346875
transcript.pyannote[2493].speaker SPEAKER_22
transcript.pyannote[2493].start 10206.77346875
transcript.pyannote[2493].end 10209.91221875
transcript.pyannote[2494].speaker SPEAKER_22
transcript.pyannote[2494].start 10210.19909375
transcript.pyannote[2494].end 10219.34534375
transcript.pyannote[2495].speaker SPEAKER_22
transcript.pyannote[2495].start 10219.68284375
transcript.pyannote[2495].end 10223.61471875
transcript.pyannote[2496].speaker SPEAKER_22
transcript.pyannote[2496].start 10224.10409375
transcript.pyannote[2496].end 10229.70659375
transcript.pyannote[2497].speaker SPEAKER_22
transcript.pyannote[2497].start 10230.16221875
transcript.pyannote[2497].end 10232.33909375
transcript.pyannote[2498].speaker SPEAKER_22
transcript.pyannote[2498].start 10232.52471875
transcript.pyannote[2498].end 10233.04784375
transcript.pyannote[2499].speaker SPEAKER_22
transcript.pyannote[2499].start 10233.63846875
transcript.pyannote[2499].end 10237.58721875
transcript.pyannote[2500].speaker SPEAKER_22
transcript.pyannote[2500].start 10238.19471875
transcript.pyannote[2500].end 10240.18596875
transcript.pyannote[2501].speaker SPEAKER_22
transcript.pyannote[2501].start 10240.72596875
transcript.pyannote[2501].end 10241.70471875
transcript.pyannote[2502].speaker SPEAKER_22
transcript.pyannote[2502].start 10242.02534375
transcript.pyannote[2502].end 10243.18971875
transcript.pyannote[2503].speaker SPEAKER_22
transcript.pyannote[2503].start 10244.28659375
transcript.pyannote[2503].end 10251.28971875
transcript.pyannote[2504].speaker SPEAKER_22
transcript.pyannote[2504].start 10251.40784375
transcript.pyannote[2504].end 10255.64346875
transcript.pyannote[2505].speaker SPEAKER_22
transcript.pyannote[2505].start 10255.96409375
transcript.pyannote[2505].end 10257.48284375
transcript.pyannote[2506].speaker SPEAKER_22
transcript.pyannote[2506].start 10257.87096875
transcript.pyannote[2506].end 10259.67659375
transcript.pyannote[2507].speaker SPEAKER_21
transcript.pyannote[2507].start 10259.67659375
transcript.pyannote[2507].end 10259.69346875
transcript.pyannote[2508].speaker SPEAKER_22
transcript.pyannote[2508].start 10260.53721875
transcript.pyannote[2508].end 10260.55409375
transcript.pyannote[2509].speaker SPEAKER_21
transcript.pyannote[2509].start 10260.55409375
transcript.pyannote[2509].end 10265.09346875
transcript.pyannote[2510].speaker SPEAKER_21
transcript.pyannote[2510].start 10265.38034375
transcript.pyannote[2510].end 10267.10159375
transcript.pyannote[2511].speaker SPEAKER_22
transcript.pyannote[2511].start 10267.10159375
transcript.pyannote[2511].end 10267.15221875
transcript.pyannote[2512].speaker SPEAKER_22
transcript.pyannote[2512].start 10268.14784375
transcript.pyannote[2512].end 10270.22346875
transcript.pyannote[2513].speaker SPEAKER_22
transcript.pyannote[2513].start 10270.94909375
transcript.pyannote[2513].end 10287.43596875
transcript.pyannote[2514].speaker SPEAKER_22
transcript.pyannote[2514].start 10287.63846875
transcript.pyannote[2514].end 10289.15721875
transcript.pyannote[2515].speaker SPEAKER_22
transcript.pyannote[2515].start 10289.71409375
transcript.pyannote[2515].end 10290.67596875
transcript.pyannote[2516].speaker SPEAKER_22
transcript.pyannote[2516].start 10290.82784375
transcript.pyannote[2516].end 10295.19846875
transcript.pyannote[2517].speaker SPEAKER_22
transcript.pyannote[2517].start 10295.51909375
transcript.pyannote[2517].end 10297.66221875
transcript.pyannote[2518].speaker SPEAKER_22
transcript.pyannote[2518].start 10297.98284375
transcript.pyannote[2518].end 10301.07096875
transcript.pyannote[2519].speaker SPEAKER_22
transcript.pyannote[2519].start 10301.20596875
transcript.pyannote[2519].end 10302.45471875
transcript.pyannote[2520].speaker SPEAKER_22
transcript.pyannote[2520].start 10303.50096875
transcript.pyannote[2520].end 10306.70721875
transcript.pyannote[2521].speaker SPEAKER_22
transcript.pyannote[2521].start 10307.21346875
transcript.pyannote[2521].end 10307.23034375
transcript.pyannote[2522].speaker SPEAKER_21
transcript.pyannote[2522].start 10307.23034375
transcript.pyannote[2522].end 10310.36909375
transcript.pyannote[2523].speaker SPEAKER_21
transcript.pyannote[2523].start 10310.70659375
transcript.pyannote[2523].end 10314.11534375
transcript.pyannote[2524].speaker SPEAKER_21
transcript.pyannote[2524].start 10314.36846875
transcript.pyannote[2524].end 10317.69284375
transcript.pyannote[2525].speaker SPEAKER_21
transcript.pyannote[2525].start 10317.74346875
transcript.pyannote[2525].end 10318.89096875
transcript.pyannote[2526].speaker SPEAKER_21
transcript.pyannote[2526].start 10319.19471875
transcript.pyannote[2526].end 10323.39659375
transcript.pyannote[2527].speaker SPEAKER_21
transcript.pyannote[2527].start 10323.71721875
transcript.pyannote[2527].end 10328.22284375
transcript.pyannote[2528].speaker SPEAKER_21
transcript.pyannote[2528].start 10328.72909375
transcript.pyannote[2528].end 10333.75784375
transcript.pyannote[2529].speaker SPEAKER_22
transcript.pyannote[2529].start 10333.70721875
transcript.pyannote[2529].end 10336.69409375
transcript.pyannote[2530].speaker SPEAKER_22
transcript.pyannote[2530].start 10337.67284375
transcript.pyannote[2530].end 10347.86534375
transcript.pyannote[2531].speaker SPEAKER_22
transcript.pyannote[2531].start 10348.03409375
transcript.pyannote[2531].end 10348.48971875
transcript.pyannote[2532].speaker SPEAKER_22
transcript.pyannote[2532].start 10348.96221875
transcript.pyannote[2532].end 10350.02534375
transcript.pyannote[2533].speaker SPEAKER_22
transcript.pyannote[2533].start 10350.19409375
transcript.pyannote[2533].end 10352.48909375
transcript.pyannote[2534].speaker SPEAKER_25
transcript.pyannote[2534].start 10352.48909375
transcript.pyannote[2534].end 10352.50596875
transcript.pyannote[2535].speaker SPEAKER_22
transcript.pyannote[2535].start 10352.97846875
transcript.pyannote[2535].end 10354.02471875
transcript.pyannote[2536].speaker SPEAKER_25
transcript.pyannote[2536].start 10354.02471875
transcript.pyannote[2536].end 10356.20159375
transcript.pyannote[2537].speaker SPEAKER_25
transcript.pyannote[2537].start 10356.70784375
transcript.pyannote[2537].end 10357.09596875
transcript.pyannote[2538].speaker SPEAKER_25
transcript.pyannote[2538].start 10357.66971875
transcript.pyannote[2538].end 10364.31846875
transcript.pyannote[2539].speaker SPEAKER_25
transcript.pyannote[2539].start 10364.45346875
transcript.pyannote[2539].end 10371.18659375
transcript.pyannote[2540].speaker SPEAKER_25
transcript.pyannote[2540].start 10371.37221875
transcript.pyannote[2540].end 10374.61221875
transcript.pyannote[2541].speaker SPEAKER_25
transcript.pyannote[2541].start 10375.00034375
transcript.pyannote[2541].end 10379.01659375
transcript.pyannote[2542].speaker SPEAKER_25
transcript.pyannote[2542].start 10379.32034375
transcript.pyannote[2542].end 10382.52659375
transcript.pyannote[2543].speaker SPEAKER_25
transcript.pyannote[2543].start 10382.98221875
transcript.pyannote[2543].end 10388.19659375
transcript.pyannote[2544].speaker SPEAKER_25
transcript.pyannote[2544].start 10388.36534375
transcript.pyannote[2544].end 10392.31409375
transcript.pyannote[2545].speaker SPEAKER_22
transcript.pyannote[2545].start 10392.31409375
transcript.pyannote[2545].end 10392.36471875
transcript.pyannote[2546].speaker SPEAKER_25
transcript.pyannote[2546].start 10392.36471875
transcript.pyannote[2546].end 10392.56721875
transcript.pyannote[2547].speaker SPEAKER_22
transcript.pyannote[2547].start 10392.56721875
transcript.pyannote[2547].end 10398.89534375
transcript.pyannote[2548].speaker SPEAKER_22
transcript.pyannote[2548].start 10399.04721875
transcript.pyannote[2548].end 10403.77221875
transcript.pyannote[2549].speaker SPEAKER_22
transcript.pyannote[2549].start 10404.07596875
transcript.pyannote[2549].end 10405.91534375
transcript.pyannote[2550].speaker SPEAKER_22
transcript.pyannote[2550].start 10406.30346875
transcript.pyannote[2550].end 10408.27784375
transcript.pyannote[2551].speaker SPEAKER_22
transcript.pyannote[2551].start 10408.81784375
transcript.pyannote[2551].end 10413.94784375
transcript.pyannote[2552].speaker SPEAKER_22
transcript.pyannote[2552].start 10414.20096875
transcript.pyannote[2552].end 10416.78284375
transcript.pyannote[2553].speaker SPEAKER_22
transcript.pyannote[2553].start 10417.54221875
transcript.pyannote[2553].end 10422.06471875
transcript.pyannote[2554].speaker SPEAKER_25
transcript.pyannote[2554].start 10422.06471875
transcript.pyannote[2554].end 10428.56159375
transcript.pyannote[2555].speaker SPEAKER_22
transcript.pyannote[2555].start 10422.30096875
transcript.pyannote[2555].end 10423.31346875
transcript.pyannote[2556].speaker SPEAKER_22
transcript.pyannote[2556].start 10427.02596875
transcript.pyannote[2556].end 10432.62846875
transcript.pyannote[2557].speaker SPEAKER_22
transcript.pyannote[2557].start 10432.64534375
transcript.pyannote[2557].end 10432.72971875
transcript.pyannote[2558].speaker SPEAKER_25
transcript.pyannote[2558].start 10432.72971875
transcript.pyannote[2558].end 10432.88159375
transcript.pyannote[2559].speaker SPEAKER_22
transcript.pyannote[2559].start 10432.88159375
transcript.pyannote[2559].end 10439.58096875
transcript.pyannote[2560].speaker SPEAKER_25
transcript.pyannote[2560].start 10432.89846875
transcript.pyannote[2560].end 10432.93221875
transcript.pyannote[2561].speaker SPEAKER_25
transcript.pyannote[2561].start 10439.58096875
transcript.pyannote[2561].end 10440.03659375
transcript.pyannote[2562].speaker SPEAKER_22
transcript.pyannote[2562].start 10440.59346875
transcript.pyannote[2562].end 10442.16284375
transcript.pyannote[2563].speaker SPEAKER_22
transcript.pyannote[2563].start 10449.50346875
transcript.pyannote[2563].end 10459.32471875
transcript.pyannote[2564].speaker SPEAKER_22
transcript.pyannote[2564].start 10460.08409375
transcript.pyannote[2564].end 10461.40034375
transcript.pyannote[2565].speaker SPEAKER_22
transcript.pyannote[2565].start 10461.58596875
transcript.pyannote[2565].end 10463.50971875
transcript.pyannote[2566].speaker SPEAKER_22
transcript.pyannote[2566].start 10463.83034375
transcript.pyannote[2566].end 10465.87221875
transcript.pyannote[2567].speaker SPEAKER_22
transcript.pyannote[2567].start 10466.46284375
transcript.pyannote[2567].end 10467.34034375
transcript.pyannote[2568].speaker SPEAKER_22
transcript.pyannote[2568].start 10473.71909375
transcript.pyannote[2568].end 10474.17471875
transcript.pyannote[2569].speaker SPEAKER_22
transcript.pyannote[2569].start 10474.61346875
transcript.pyannote[2569].end 10476.19971875
transcript.pyannote[2570].speaker SPEAKER_22
transcript.pyannote[2570].start 10476.97596875
transcript.pyannote[2570].end 10478.62971875
transcript.pyannote[2571].speaker SPEAKER_22
transcript.pyannote[2571].start 10479.22034375
transcript.pyannote[2571].end 10482.51096875
transcript.pyannote[2572].speaker SPEAKER_22
transcript.pyannote[2572].start 10483.03409375
transcript.pyannote[2572].end 10485.31221875
transcript.pyannote[2573].speaker SPEAKER_22
transcript.pyannote[2573].start 10485.98721875
transcript.pyannote[2573].end 10487.50596875
transcript.pyannote[2574].speaker SPEAKER_22
transcript.pyannote[2574].start 10487.62409375
transcript.pyannote[2574].end 10489.12596875
transcript.pyannote[2575].speaker SPEAKER_22
transcript.pyannote[2575].start 10489.54784375
transcript.pyannote[2575].end 10490.74596875
transcript.pyannote[2576].speaker SPEAKER_22
transcript.pyannote[2576].start 10491.45471875
transcript.pyannote[2576].end 10493.29409375
transcript.pyannote[2577].speaker SPEAKER_22
transcript.pyannote[2577].start 10493.78346875
transcript.pyannote[2577].end 10495.47096875
transcript.pyannote[2578].speaker SPEAKER_22
transcript.pyannote[2578].start 10496.56784375
transcript.pyannote[2578].end 10498.42409375
transcript.pyannote[2579].speaker SPEAKER_22
transcript.pyannote[2579].start 10498.93034375
transcript.pyannote[2579].end 10500.68534375
transcript.pyannote[2580].speaker SPEAKER_22
transcript.pyannote[2580].start 10501.14096875
transcript.pyannote[2580].end 10502.67659375
transcript.pyannote[2581].speaker SPEAKER_22
transcript.pyannote[2581].start 10502.94659375
transcript.pyannote[2581].end 10506.69284375
transcript.pyannote[2582].speaker SPEAKER_22
transcript.pyannote[2582].start 10507.53659375
transcript.pyannote[2582].end 10511.19846875
transcript.pyannote[2583].speaker SPEAKER_22
transcript.pyannote[2583].start 10511.36721875
transcript.pyannote[2583].end 10513.32471875
transcript.pyannote[2584].speaker SPEAKER_22
transcript.pyannote[2584].start 10513.67909375
transcript.pyannote[2584].end 10517.23971875
transcript.pyannote[2585].speaker SPEAKER_22
transcript.pyannote[2585].start 10517.98221875
transcript.pyannote[2585].end 10518.69096875
transcript.pyannote[2586].speaker SPEAKER_22
transcript.pyannote[2586].start 10518.89346875
transcript.pyannote[2586].end 10519.85534375
transcript.pyannote[2587].speaker SPEAKER_22
transcript.pyannote[2587].start 10520.26034375
transcript.pyannote[2587].end 10522.35284375
transcript.pyannote[2588].speaker SPEAKER_22
transcript.pyannote[2588].start 10522.94346875
transcript.pyannote[2588].end 10526.11596875
transcript.pyannote[2589].speaker SPEAKER_22
transcript.pyannote[2589].start 10526.55471875
transcript.pyannote[2589].end 10528.52909375
transcript.pyannote[2590].speaker SPEAKER_22
transcript.pyannote[2590].start 10528.98471875
transcript.pyannote[2590].end 10538.51909375
transcript.pyannote[2591].speaker SPEAKER_22
transcript.pyannote[2591].start 10539.07596875
transcript.pyannote[2591].end 10540.24034375
transcript.pyannote[2592].speaker SPEAKER_22
transcript.pyannote[2592].start 10540.72971875
transcript.pyannote[2592].end 10542.41721875
transcript.pyannote[2593].speaker SPEAKER_22
transcript.pyannote[2593].start 10542.92346875
transcript.pyannote[2593].end 10549.50471875
transcript.pyannote[2594].speaker SPEAKER_22
transcript.pyannote[2594].start 10549.70721875
transcript.pyannote[2594].end 10550.88846875
transcript.pyannote[2595].speaker SPEAKER_22
transcript.pyannote[2595].start 10550.95596875
transcript.pyannote[2595].end 10552.35659375
transcript.pyannote[2596].speaker SPEAKER_22
transcript.pyannote[2596].start 10552.72784375
transcript.pyannote[2596].end 10554.61784375
transcript.pyannote[2597].speaker SPEAKER_22
transcript.pyannote[2597].start 10555.20846875
transcript.pyannote[2597].end 10557.52034375
transcript.pyannote[2598].speaker SPEAKER_22
transcript.pyannote[2598].start 10558.06034375
transcript.pyannote[2598].end 10560.65909375
transcript.pyannote[2599].speaker SPEAKER_22
transcript.pyannote[2599].start 10561.01346875
transcript.pyannote[2599].end 10564.38846875
transcript.pyannote[2600].speaker SPEAKER_22
transcript.pyannote[2600].start 10564.60784375
transcript.pyannote[2600].end 10568.20221875
transcript.pyannote[2601].speaker SPEAKER_22
transcript.pyannote[2601].start 10569.16409375
transcript.pyannote[2601].end 10571.91471875
transcript.pyannote[2602].speaker SPEAKER_22
transcript.pyannote[2602].start 10572.48846875
transcript.pyannote[2602].end 10581.53346875
transcript.pyannote[2603].speaker SPEAKER_22
transcript.pyannote[2603].start 10581.83721875
transcript.pyannote[2603].end 10582.51221875
transcript.pyannote[2604].speaker SPEAKER_27
transcript.pyannote[2604].start 10582.74846875
transcript.pyannote[2604].end 10584.04784375
transcript.pyannote[2605].speaker SPEAKER_27
transcript.pyannote[2605].start 10584.25034375
transcript.pyannote[2605].end 10585.48221875
transcript.pyannote[2606].speaker SPEAKER_27
transcript.pyannote[2606].start 10588.18221875
transcript.pyannote[2606].end 10590.44346875
transcript.pyannote[2607].speaker SPEAKER_26
transcript.pyannote[2607].start 10599.38721875
transcript.pyannote[2607].end 10601.54721875
transcript.pyannote[2608].speaker SPEAKER_26
transcript.pyannote[2608].start 10602.15471875
transcript.pyannote[2608].end 10605.98534375
transcript.pyannote[2609].speaker SPEAKER_27
transcript.pyannote[2609].start 10608.21284375
transcript.pyannote[2609].end 10609.24221875
transcript.pyannote[2610].speaker SPEAKER_27
transcript.pyannote[2610].start 10609.27596875
transcript.pyannote[2610].end 10609.46159375
transcript.pyannote[2611].speaker SPEAKER_26
transcript.pyannote[2611].start 10612.83659375
transcript.pyannote[2611].end 10615.09784375
transcript.pyannote[2612].speaker SPEAKER_27
transcript.pyannote[2612].start 10612.98846875
transcript.pyannote[2612].end 10613.03909375
transcript.pyannote[2613].speaker SPEAKER_25
transcript.pyannote[2613].start 10613.03909375
transcript.pyannote[2613].end 10613.07284375
transcript.pyannote[2614].speaker SPEAKER_27
transcript.pyannote[2614].start 10613.07284375
transcript.pyannote[2614].end 10614.03471875
transcript.pyannote[2615].speaker SPEAKER_25
transcript.pyannote[2615].start 10614.03471875
transcript.pyannote[2615].end 10615.06409375
transcript.pyannote[2616].speaker SPEAKER_25
transcript.pyannote[2616].start 10615.09784375
transcript.pyannote[2616].end 10615.13159375
transcript.pyannote[2617].speaker SPEAKER_26
transcript.pyannote[2617].start 10615.13159375
transcript.pyannote[2617].end 10615.16534375
transcript.pyannote[2618].speaker SPEAKER_26
transcript.pyannote[2618].start 10615.26659375
transcript.pyannote[2618].end 10616.80221875
transcript.pyannote[2619].speaker SPEAKER_26
transcript.pyannote[2619].start 10617.32534375
transcript.pyannote[2619].end 10618.08471875
transcript.pyannote[2620].speaker SPEAKER_26
transcript.pyannote[2620].start 10618.92846875
transcript.pyannote[2620].end 10620.51471875
transcript.pyannote[2621].speaker SPEAKER_26
transcript.pyannote[2621].start 10621.39221875
transcript.pyannote[2621].end 10624.31159375
transcript.pyannote[2622].speaker SPEAKER_26
transcript.pyannote[2622].start 10624.86846875
transcript.pyannote[2622].end 10625.34096875
transcript.pyannote[2623].speaker SPEAKER_26
transcript.pyannote[2623].start 10626.13409375
transcript.pyannote[2623].end 10627.02846875
transcript.pyannote[2624].speaker SPEAKER_26
transcript.pyannote[2624].start 10627.95659375
transcript.pyannote[2624].end 10628.88471875
transcript.pyannote[2625].speaker SPEAKER_26
transcript.pyannote[2625].start 10629.08721875
transcript.pyannote[2625].end 10630.16721875
transcript.pyannote[2626].speaker SPEAKER_26
transcript.pyannote[2626].start 10631.01096875
transcript.pyannote[2626].end 10633.35659375
transcript.pyannote[2627].speaker SPEAKER_26
transcript.pyannote[2627].start 10633.99784375
transcript.pyannote[2627].end 10634.90909375
transcript.pyannote[2628].speaker SPEAKER_26
transcript.pyannote[2628].start 10635.38159375
transcript.pyannote[2628].end 10639.43159375
transcript.pyannote[2629].speaker SPEAKER_26
transcript.pyannote[2629].start 10639.75221875
transcript.pyannote[2629].end 10641.87846875
transcript.pyannote[2630].speaker SPEAKER_26
transcript.pyannote[2630].start 10642.19909375
transcript.pyannote[2630].end 10644.54471875
transcript.pyannote[2631].speaker SPEAKER_26
transcript.pyannote[2631].start 10644.86534375
transcript.pyannote[2631].end 10645.89471875
transcript.pyannote[2632].speaker SPEAKER_26
transcript.pyannote[2632].start 10646.29971875
transcript.pyannote[2632].end 10647.24471875
transcript.pyannote[2633].speaker SPEAKER_26
transcript.pyannote[2633].start 10648.17284375
transcript.pyannote[2633].end 10649.18534375
transcript.pyannote[2634].speaker SPEAKER_26
transcript.pyannote[2634].start 10649.38784375
transcript.pyannote[2634].end 10651.31159375
transcript.pyannote[2635].speaker SPEAKER_26
transcript.pyannote[2635].start 10651.96971875
transcript.pyannote[2635].end 10655.14221875
transcript.pyannote[2636].speaker SPEAKER_26
transcript.pyannote[2636].start 10655.95221875
transcript.pyannote[2636].end 10658.39909375
transcript.pyannote[2637].speaker SPEAKER_26
transcript.pyannote[2637].start 10658.93909375
transcript.pyannote[2637].end 10659.24284375
transcript.pyannote[2638].speaker SPEAKER_26
transcript.pyannote[2638].start 10659.56346875
transcript.pyannote[2638].end 10660.89659375
transcript.pyannote[2639].speaker SPEAKER_26
transcript.pyannote[2639].start 10661.70659375
transcript.pyannote[2639].end 10663.71471875
transcript.pyannote[2640].speaker SPEAKER_26
transcript.pyannote[2640].start 10663.93409375
transcript.pyannote[2640].end 10665.46971875
transcript.pyannote[2641].speaker SPEAKER_26
transcript.pyannote[2641].start 10665.90846875
transcript.pyannote[2641].end 10671.66284375
transcript.pyannote[2642].speaker SPEAKER_26
transcript.pyannote[2642].start 10671.93284375
transcript.pyannote[2642].end 10676.70846875
transcript.pyannote[2643].speaker SPEAKER_26
transcript.pyannote[2643].start 10677.18096875
transcript.pyannote[2643].end 10678.69971875
transcript.pyannote[2644].speaker SPEAKER_26
transcript.pyannote[2644].start 10678.93596875
transcript.pyannote[2644].end 10681.19721875
transcript.pyannote[2645].speaker SPEAKER_26
transcript.pyannote[2645].start 10681.63596875
transcript.pyannote[2645].end 10684.08284375
transcript.pyannote[2646].speaker SPEAKER_26
transcript.pyannote[2646].start 10684.35284375
transcript.pyannote[2646].end 10685.71971875
transcript.pyannote[2647].speaker SPEAKER_25
transcript.pyannote[2647].start 10685.71971875
transcript.pyannote[2647].end 10688.03159375
transcript.pyannote[2648].speaker SPEAKER_25
transcript.pyannote[2648].start 10688.20034375
transcript.pyannote[2648].end 10692.14909375
transcript.pyannote[2649].speaker SPEAKER_26
transcript.pyannote[2649].start 10691.65971875
transcript.pyannote[2649].end 10693.85346875
transcript.pyannote[2650].speaker SPEAKER_25
transcript.pyannote[2650].start 10693.48221875
transcript.pyannote[2650].end 10716.06096875
transcript.pyannote[2651].speaker SPEAKER_26
transcript.pyannote[2651].start 10697.83596875
transcript.pyannote[2651].end 10699.54034375
transcript.pyannote[2652].speaker SPEAKER_26
transcript.pyannote[2652].start 10711.70721875
transcript.pyannote[2652].end 10713.83346875
transcript.pyannote[2653].speaker SPEAKER_21
transcript.pyannote[2653].start 10713.83346875
transcript.pyannote[2653].end 10713.88409375
transcript.pyannote[2654].speaker SPEAKER_21
transcript.pyannote[2654].start 10714.57596875
transcript.pyannote[2654].end 10714.62659375
transcript.pyannote[2655].speaker SPEAKER_26
transcript.pyannote[2655].start 10714.62659375
transcript.pyannote[2655].end 10716.17909375
transcript.pyannote[2656].speaker SPEAKER_25
transcript.pyannote[2656].start 10716.71909375
transcript.pyannote[2656].end 10716.73596875
transcript.pyannote[2657].speaker SPEAKER_26
transcript.pyannote[2657].start 10716.73596875
transcript.pyannote[2657].end 10719.38534375
transcript.pyannote[2658].speaker SPEAKER_21
transcript.pyannote[2658].start 10719.89159375
transcript.pyannote[2658].end 10721.86596875
transcript.pyannote[2659].speaker SPEAKER_26
transcript.pyannote[2659].start 10721.86596875
transcript.pyannote[2659].end 10724.46471875
transcript.pyannote[2660].speaker SPEAKER_26
transcript.pyannote[2660].start 10725.08909375
transcript.pyannote[2660].end 10727.28284375
transcript.pyannote[2661].speaker SPEAKER_26
transcript.pyannote[2661].start 10728.46409375
transcript.pyannote[2661].end 10729.62846875
transcript.pyannote[2662].speaker SPEAKER_21
transcript.pyannote[2662].start 10729.62846875
transcript.pyannote[2662].end 10729.67909375
transcript.pyannote[2663].speaker SPEAKER_26
transcript.pyannote[2663].start 10729.96596875
transcript.pyannote[2663].end 10730.03346875
transcript.pyannote[2664].speaker SPEAKER_26
transcript.pyannote[2664].start 10730.32034375
transcript.pyannote[2664].end 10730.37096875
transcript.pyannote[2665].speaker SPEAKER_21
transcript.pyannote[2665].start 10730.37096875
transcript.pyannote[2665].end 10742.89221875
transcript.pyannote[2666].speaker SPEAKER_26
transcript.pyannote[2666].start 10732.02471875
transcript.pyannote[2666].end 10733.77971875
transcript.pyannote[2667].speaker SPEAKER_26
transcript.pyannote[2667].start 10734.37034375
transcript.pyannote[2667].end 10735.39971875
transcript.pyannote[2668].speaker SPEAKER_00
transcript.pyannote[2668].start 10739.90534375
transcript.pyannote[2668].end 10740.63096875
transcript.pyannote[2669].speaker SPEAKER_21
transcript.pyannote[2669].start 10743.83721875
transcript.pyannote[2669].end 10754.55284375
transcript.pyannote[2670].speaker SPEAKER_00
transcript.pyannote[2670].start 10747.27971875
transcript.pyannote[2670].end 10747.36409375
transcript.pyannote[2671].speaker SPEAKER_26
transcript.pyannote[2671].start 10747.36409375
transcript.pyannote[2671].end 10749.13596875
transcript.pyannote[2672].speaker SPEAKER_26
transcript.pyannote[2672].start 10752.15659375
transcript.pyannote[2672].end 10752.22409375
transcript.pyannote[2673].speaker SPEAKER_26
transcript.pyannote[2673].start 10754.41784375
transcript.pyannote[2673].end 10755.54846875
transcript.pyannote[2674].speaker SPEAKER_26
transcript.pyannote[2674].start 10755.88596875
transcript.pyannote[2674].end 10756.30784375
transcript.pyannote[2675].speaker SPEAKER_26
transcript.pyannote[2675].start 10757.52284375
transcript.pyannote[2675].end 10760.66159375
transcript.pyannote[2676].speaker SPEAKER_26
transcript.pyannote[2676].start 10761.13409375
transcript.pyannote[2676].end 10764.03659375
transcript.pyannote[2677].speaker SPEAKER_26
transcript.pyannote[2677].start 10764.66096875
transcript.pyannote[2677].end 10770.43221875
transcript.pyannote[2678].speaker SPEAKER_26
transcript.pyannote[2678].start 10771.14096875
transcript.pyannote[2678].end 10772.52471875
transcript.pyannote[2679].speaker SPEAKER_26
transcript.pyannote[2679].start 10773.73971875
transcript.pyannote[2679].end 10775.52846875
transcript.pyannote[2680].speaker SPEAKER_26
transcript.pyannote[2680].start 10775.91659375
transcript.pyannote[2680].end 10780.48971875
transcript.pyannote[2681].speaker SPEAKER_26
transcript.pyannote[2681].start 10780.96221875
transcript.pyannote[2681].end 10785.19784375
transcript.pyannote[2682].speaker SPEAKER_26
transcript.pyannote[2682].start 10785.77159375
transcript.pyannote[2682].end 10788.38721875
transcript.pyannote[2683].speaker SPEAKER_26
transcript.pyannote[2683].start 10788.62346875
transcript.pyannote[2683].end 10790.31096875
transcript.pyannote[2684].speaker SPEAKER_26
transcript.pyannote[2684].start 10790.68221875
transcript.pyannote[2684].end 10791.69471875
transcript.pyannote[2685].speaker SPEAKER_26
transcript.pyannote[2685].start 10792.18409375
transcript.pyannote[2685].end 10792.80846875
transcript.pyannote[2686].speaker SPEAKER_26
transcript.pyannote[2686].start 10793.61846875
transcript.pyannote[2686].end 10795.45784375
transcript.pyannote[2687].speaker SPEAKER_26
transcript.pyannote[2687].start 10795.77846875
transcript.pyannote[2687].end 10796.36909375
transcript.pyannote[2688].speaker SPEAKER_26
transcript.pyannote[2688].start 10797.24659375
transcript.pyannote[2688].end 10798.90034375
transcript.pyannote[2689].speaker SPEAKER_26
transcript.pyannote[2689].start 10799.33909375
transcript.pyannote[2689].end 10811.40471875
transcript.pyannote[2690].speaker SPEAKER_26
transcript.pyannote[2690].start 10811.99534375
transcript.pyannote[2690].end 10814.86409375
transcript.pyannote[2691].speaker SPEAKER_26
transcript.pyannote[2691].start 10815.13409375
transcript.pyannote[2691].end 10818.88034375
transcript.pyannote[2692].speaker SPEAKER_26
transcript.pyannote[2692].start 10819.28534375
transcript.pyannote[2692].end 10827.18284375
transcript.pyannote[2693].speaker SPEAKER_26
transcript.pyannote[2693].start 10827.36846875
transcript.pyannote[2693].end 10830.08534375
transcript.pyannote[2694].speaker SPEAKER_26
transcript.pyannote[2694].start 10830.18659375
transcript.pyannote[2694].end 10831.72221875
transcript.pyannote[2695].speaker SPEAKER_26
transcript.pyannote[2695].start 10832.24534375
transcript.pyannote[2695].end 10833.03846875
transcript.pyannote[2696].speaker SPEAKER_21
transcript.pyannote[2696].start 10833.03846875
transcript.pyannote[2696].end 10833.40971875
transcript.pyannote[2697].speaker SPEAKER_26
transcript.pyannote[2697].start 10833.40971875
transcript.pyannote[2697].end 10833.61221875
transcript.pyannote[2698].speaker SPEAKER_26
transcript.pyannote[2698].start 10833.93284375
transcript.pyannote[2698].end 10833.94971875
transcript.pyannote[2699].speaker SPEAKER_21
transcript.pyannote[2699].start 10833.94971875
transcript.pyannote[2699].end 10834.62471875
transcript.pyannote[2700].speaker SPEAKER_21
transcript.pyannote[2700].start 10834.99596875
transcript.pyannote[2700].end 10838.10096875
transcript.pyannote[2701].speaker SPEAKER_21
transcript.pyannote[2701].start 10838.74221875
transcript.pyannote[2701].end 10854.48659375
transcript.pyannote[2702].speaker SPEAKER_26
transcript.pyannote[2702].start 10841.89784375
transcript.pyannote[2702].end 10841.91471875
transcript.pyannote[2703].speaker SPEAKER_20
transcript.pyannote[2703].start 10841.91471875
transcript.pyannote[2703].end 10842.20159375
transcript.pyannote[2704].speaker SPEAKER_26
transcript.pyannote[2704].start 10842.20159375
transcript.pyannote[2704].end 10844.56409375
transcript.pyannote[2705].speaker SPEAKER_26
transcript.pyannote[2705].start 10844.59784375
transcript.pyannote[2705].end 10844.64846875
transcript.pyannote[2706].speaker SPEAKER_26
transcript.pyannote[2706].start 10845.18846875
transcript.pyannote[2706].end 10846.35284375
transcript.pyannote[2707].speaker SPEAKER_26
transcript.pyannote[2707].start 10847.16284375
transcript.pyannote[2707].end 10847.29784375
transcript.pyannote[2708].speaker SPEAKER_26
transcript.pyannote[2708].start 10850.97659375
transcript.pyannote[2708].end 10852.30971875
transcript.pyannote[2709].speaker SPEAKER_26
transcript.pyannote[2709].start 10853.59221875
transcript.pyannote[2709].end 10855.16159375
transcript.pyannote[2710].speaker SPEAKER_26
transcript.pyannote[2710].start 10855.87034375
transcript.pyannote[2710].end 10856.32596875
transcript.pyannote[2711].speaker SPEAKER_26
transcript.pyannote[2711].start 10856.47784375
transcript.pyannote[2711].end 10858.65471875
transcript.pyannote[2712].speaker SPEAKER_26
transcript.pyannote[2712].start 10858.80659375
transcript.pyannote[2712].end 10863.43034375
transcript.pyannote[2713].speaker SPEAKER_01
transcript.pyannote[2713].start 10858.89096875
transcript.pyannote[2713].end 10889.19846875
transcript.pyannote[2714].speaker SPEAKER_26
transcript.pyannote[2714].start 10866.31596875
transcript.pyannote[2714].end 10866.80534375
transcript.pyannote[2715].speaker SPEAKER_26
transcript.pyannote[2715].start 10888.92846875
transcript.pyannote[2715].end 10889.87346875
transcript.pyannote[2716].speaker SPEAKER_26
transcript.pyannote[2716].start 10890.43034375
transcript.pyannote[2716].end 10892.52284375
transcript.pyannote[2717].speaker SPEAKER_26
transcript.pyannote[2717].start 10892.70846875
transcript.pyannote[2717].end 10895.62784375
transcript.pyannote[2718].speaker SPEAKER_26
transcript.pyannote[2718].start 10896.26909375
transcript.pyannote[2718].end 10901.02784375
transcript.pyannote[2719].speaker SPEAKER_21
transcript.pyannote[2719].start 10901.02784375
transcript.pyannote[2719].end 10901.46659375
transcript.pyannote[2720].speaker SPEAKER_21
transcript.pyannote[2720].start 10901.82096875
transcript.pyannote[2720].end 10903.03596875
transcript.pyannote[2721].speaker SPEAKER_26
transcript.pyannote[2721].start 10902.19221875
transcript.pyannote[2721].end 10902.78284375
transcript.pyannote[2722].speaker SPEAKER_21
transcript.pyannote[2722].start 10903.08659375
transcript.pyannote[2722].end 10903.93034375
transcript.pyannote[2723].speaker SPEAKER_21
transcript.pyannote[2723].start 10904.33534375
transcript.pyannote[2723].end 10918.54409375
transcript.pyannote[2724].speaker SPEAKER_26
transcript.pyannote[2724].start 10905.04409375
transcript.pyannote[2724].end 10905.58409375
transcript.pyannote[2725].speaker SPEAKER_26
transcript.pyannote[2725].start 10906.61346875
transcript.pyannote[2725].end 10908.06471875
transcript.pyannote[2726].speaker SPEAKER_20
transcript.pyannote[2726].start 10908.06471875
transcript.pyannote[2726].end 10908.11534375
transcript.pyannote[2727].speaker SPEAKER_26
transcript.pyannote[2727].start 10910.17409375
transcript.pyannote[2727].end 10910.96721875
transcript.pyannote[2728].speaker SPEAKER_26
transcript.pyannote[2728].start 10914.84846875
transcript.pyannote[2728].end 10916.70471875
transcript.pyannote[2729].speaker SPEAKER_26
transcript.pyannote[2729].start 10917.88596875
transcript.pyannote[2729].end 10919.35409375
transcript.pyannote[2730].speaker SPEAKER_26
transcript.pyannote[2730].start 10919.62409375
transcript.pyannote[2730].end 10928.88846875
transcript.pyannote[2731].speaker SPEAKER_26
transcript.pyannote[2731].start 10929.34409375
transcript.pyannote[2731].end 10929.59721875
transcript.pyannote[2732].speaker SPEAKER_26
transcript.pyannote[2732].start 10929.91784375
transcript.pyannote[2732].end 10931.43659375
transcript.pyannote[2733].speaker SPEAKER_26
transcript.pyannote[2733].start 10931.72346875
transcript.pyannote[2733].end 10932.97221875
transcript.pyannote[2734].speaker SPEAKER_26
transcript.pyannote[2734].start 10933.47846875
transcript.pyannote[2734].end 10934.25471875
transcript.pyannote[2735].speaker SPEAKER_26
transcript.pyannote[2735].start 10934.99721875
transcript.pyannote[2735].end 10937.44409375
transcript.pyannote[2736].speaker SPEAKER_26
transcript.pyannote[2736].start 10938.18659375
transcript.pyannote[2736].end 10940.81909375
transcript.pyannote[2737].speaker SPEAKER_21
transcript.pyannote[2737].start 10938.64221875
transcript.pyannote[2737].end 10939.43534375
transcript.pyannote[2738].speaker SPEAKER_21
transcript.pyannote[2738].start 10939.63784375
transcript.pyannote[2738].end 10940.48159375
transcript.pyannote[2739].speaker SPEAKER_21
transcript.pyannote[2739].start 10940.81909375
transcript.pyannote[2739].end 10940.83596875
transcript.pyannote[2740].speaker SPEAKER_26
transcript.pyannote[2740].start 10940.83596875
transcript.pyannote[2740].end 10940.85284375
transcript.pyannote[2741].speaker SPEAKER_21
transcript.pyannote[2741].start 10941.24096875
transcript.pyannote[2741].end 10948.54784375
transcript.pyannote[2742].speaker SPEAKER_21
transcript.pyannote[2742].start 10949.10471875
transcript.pyannote[2742].end 10970.75534375
transcript.pyannote[2743].speaker SPEAKER_26
transcript.pyannote[2743].start 10957.08659375
transcript.pyannote[2743].end 10958.97659375
transcript.pyannote[2744].speaker SPEAKER_00
transcript.pyannote[2744].start 10958.97659375
transcript.pyannote[2744].end 10959.11159375
transcript.pyannote[2745].speaker SPEAKER_00
transcript.pyannote[2745].start 10959.60096875
transcript.pyannote[2745].end 10960.29284375
transcript.pyannote[2746].speaker SPEAKER_26
transcript.pyannote[2746].start 10960.29284375
transcript.pyannote[2746].end 10961.30534375
transcript.pyannote[2747].speaker SPEAKER_00
transcript.pyannote[2747].start 10961.30534375
transcript.pyannote[2747].end 10961.32221875
transcript.pyannote[2748].speaker SPEAKER_26
transcript.pyannote[2748].start 10967.71784375
transcript.pyannote[2748].end 10969.87784375
transcript.pyannote[2749].speaker SPEAKER_26
transcript.pyannote[2749].start 10970.46846875
transcript.pyannote[2749].end 10975.59846875
transcript.pyannote[2750].speaker SPEAKER_21
transcript.pyannote[2750].start 10974.82221875
transcript.pyannote[2750].end 10974.97409375
transcript.pyannote[2751].speaker SPEAKER_21
transcript.pyannote[2751].start 10975.02471875
transcript.pyannote[2751].end 10975.42971875
transcript.pyannote[2752].speaker SPEAKER_26
transcript.pyannote[2752].start 10975.75034375
transcript.pyannote[2752].end 10977.52221875
transcript.pyannote[2753].speaker SPEAKER_21
transcript.pyannote[2753].start 10978.04534375
transcript.pyannote[2753].end 10981.70721875
transcript.pyannote[2754].speaker SPEAKER_26
transcript.pyannote[2754].start 10979.31096875
transcript.pyannote[2754].end 10979.73284375
transcript.pyannote[2755].speaker SPEAKER_21
transcript.pyannote[2755].start 10981.84221875
transcript.pyannote[2755].end 10986.93846875
transcript.pyannote[2756].speaker SPEAKER_26
transcript.pyannote[2756].start 10985.72346875
transcript.pyannote[2756].end 10986.87096875
transcript.pyannote[2757].speaker SPEAKER_21
transcript.pyannote[2757].start 10987.22534375
transcript.pyannote[2757].end 10989.06471875
transcript.pyannote[2758].speaker SPEAKER_26
transcript.pyannote[2758].start 10987.83284375
transcript.pyannote[2758].end 10990.49909375
transcript.pyannote[2759].speaker SPEAKER_21
transcript.pyannote[2759].start 10990.19534375
transcript.pyannote[2759].end 10994.92034375
transcript.pyannote[2760].speaker SPEAKER_21
transcript.pyannote[2760].start 10995.19034375
transcript.pyannote[2760].end 11004.10034375
transcript.pyannote[2761].speaker SPEAKER_21
transcript.pyannote[2761].start 11004.91034375
transcript.pyannote[2761].end 11013.98909375
transcript.pyannote[2762].speaker SPEAKER_26
transcript.pyannote[2762].start 11012.72346875
transcript.pyannote[2762].end 11015.30534375
transcript.pyannote[2763].speaker SPEAKER_26
transcript.pyannote[2763].start 11015.81159375
transcript.pyannote[2763].end 11018.08971875
transcript.pyannote[2764].speaker SPEAKER_21
transcript.pyannote[2764].start 11018.35971875
transcript.pyannote[2764].end 11020.92471875
transcript.pyannote[2765].speaker SPEAKER_26
transcript.pyannote[2765].start 11020.33409375
transcript.pyannote[2765].end 11024.67096875
transcript.pyannote[2766].speaker SPEAKER_26
transcript.pyannote[2766].start 11025.34596875
transcript.pyannote[2766].end 11025.90284375
transcript.pyannote[2767].speaker SPEAKER_21
transcript.pyannote[2767].start 11026.30784375
transcript.pyannote[2767].end 11028.60284375
transcript.pyannote[2768].speaker SPEAKER_26
transcript.pyannote[2768].start 11026.64534375
transcript.pyannote[2768].end 11028.29909375
transcript.pyannote[2769].speaker SPEAKER_26
transcript.pyannote[2769].start 11028.82221875
transcript.pyannote[2769].end 11030.69534375
transcript.pyannote[2770].speaker SPEAKER_26
transcript.pyannote[2770].start 11030.96534375
transcript.pyannote[2770].end 11035.69034375
transcript.pyannote[2771].speaker SPEAKER_26
transcript.pyannote[2771].start 11035.99409375
transcript.pyannote[2771].end 11037.66471875
transcript.pyannote[2772].speaker SPEAKER_26
transcript.pyannote[2772].start 11038.10346875
transcript.pyannote[2772].end 11039.03159375
transcript.pyannote[2773].speaker SPEAKER_26
transcript.pyannote[2773].start 11039.68971875
transcript.pyannote[2773].end 11043.23346875
transcript.pyannote[2774].speaker SPEAKER_26
transcript.pyannote[2774].start 11043.62159375
transcript.pyannote[2774].end 11046.03471875
transcript.pyannote[2775].speaker SPEAKER_21
transcript.pyannote[2775].start 11046.03471875
transcript.pyannote[2775].end 11046.42284375
transcript.pyannote[2776].speaker SPEAKER_26
transcript.pyannote[2776].start 11046.42284375
transcript.pyannote[2776].end 11047.23284375
transcript.pyannote[2777].speaker SPEAKER_21
transcript.pyannote[2777].start 11046.65909375
transcript.pyannote[2777].end 11059.97346875
transcript.pyannote[2778].speaker SPEAKER_26
transcript.pyannote[2778].start 11049.67971875
transcript.pyannote[2778].end 11050.47284375
transcript.pyannote[2779].speaker SPEAKER_26
transcript.pyannote[2779].start 11059.61909375
transcript.pyannote[2779].end 11059.75409375
transcript.pyannote[2780].speaker SPEAKER_26
transcript.pyannote[2780].start 11059.97346875
transcript.pyannote[2780].end 11060.53034375
transcript.pyannote[2781].speaker SPEAKER_21
transcript.pyannote[2781].start 11060.53034375
transcript.pyannote[2781].end 11060.61471875
transcript.pyannote[2782].speaker SPEAKER_26
transcript.pyannote[2782].start 11060.61471875
transcript.pyannote[2782].end 11060.81721875
transcript.pyannote[2783].speaker SPEAKER_21
transcript.pyannote[2783].start 11060.81721875
transcript.pyannote[2783].end 11060.88471875
transcript.pyannote[2784].speaker SPEAKER_26
transcript.pyannote[2784].start 11060.88471875
transcript.pyannote[2784].end 11068.09034375
transcript.pyannote[2785].speaker SPEAKER_26
transcript.pyannote[2785].start 11068.73159375
transcript.pyannote[2785].end 11075.86971875
transcript.pyannote[2786].speaker SPEAKER_21
transcript.pyannote[2786].start 11072.37659375
transcript.pyannote[2786].end 11072.83221875
transcript.pyannote[2787].speaker SPEAKER_27
transcript.pyannote[2787].start 11072.83221875
transcript.pyannote[2787].end 11072.84909375
transcript.pyannote[2788].speaker SPEAKER_21
transcript.pyannote[2788].start 11072.84909375
transcript.pyannote[2788].end 11072.86596875
transcript.pyannote[2789].speaker SPEAKER_27
transcript.pyannote[2789].start 11072.86596875
transcript.pyannote[2789].end 11072.89971875
transcript.pyannote[2790].speaker SPEAKER_21
transcript.pyannote[2790].start 11072.89971875
transcript.pyannote[2790].end 11072.91659375
transcript.pyannote[2791].speaker SPEAKER_27
transcript.pyannote[2791].start 11072.91659375
transcript.pyannote[2791].end 11073.37221875
transcript.pyannote[2792].speaker SPEAKER_27
transcript.pyannote[2792].start 11074.46909375
transcript.pyannote[2792].end 11076.96659375
transcript.pyannote[2793].speaker SPEAKER_21
transcript.pyannote[2793].start 11075.86971875
transcript.pyannote[2793].end 11075.97096875
transcript.pyannote[2794].speaker SPEAKER_26
transcript.pyannote[2794].start 11075.97096875
transcript.pyannote[2794].end 11076.17346875
transcript.pyannote[2795].speaker SPEAKER_27
transcript.pyannote[2795].start 11078.24909375
transcript.pyannote[2795].end 11079.68346875
transcript.pyannote[2796].speaker SPEAKER_27
transcript.pyannote[2796].start 11081.20221875
transcript.pyannote[2796].end 11083.81784375
transcript.pyannote[2797].speaker SPEAKER_11
transcript.pyannote[2797].start 11099.08971875
transcript.pyannote[2797].end 11103.81471875
transcript.pyannote[2798].speaker SPEAKER_11
transcript.pyannote[2798].start 11104.18596875
transcript.pyannote[2798].end 11109.02909375
transcript.pyannote[2799].speaker SPEAKER_00
transcript.pyannote[2799].start 11107.61159375
transcript.pyannote[2799].end 11108.03346875
transcript.pyannote[2800].speaker SPEAKER_20
transcript.pyannote[2800].start 11108.03346875
transcript.pyannote[2800].end 11108.32034375
transcript.pyannote[2801].speaker SPEAKER_00
transcript.pyannote[2801].start 11108.32034375
transcript.pyannote[2801].end 11108.40471875
transcript.pyannote[2802].speaker SPEAKER_11
transcript.pyannote[2802].start 11109.40034375
transcript.pyannote[2802].end 11119.93034375
transcript.pyannote[2803].speaker SPEAKER_27
transcript.pyannote[2803].start 11120.92596875
transcript.pyannote[2803].end 11122.74846875
transcript.pyannote[2804].speaker SPEAKER_11
transcript.pyannote[2804].start 11121.33096875
transcript.pyannote[2804].end 11121.98909375
transcript.pyannote[2805].speaker SPEAKER_11
transcript.pyannote[2805].start 11124.16596875
transcript.pyannote[2805].end 11125.14471875
transcript.pyannote[2806].speaker SPEAKER_11
transcript.pyannote[2806].start 11125.95471875
transcript.pyannote[2806].end 11127.77721875
transcript.pyannote[2807].speaker SPEAKER_11
transcript.pyannote[2807].start 11127.94596875
transcript.pyannote[2807].end 11129.70096875
transcript.pyannote[2808].speaker SPEAKER_04
transcript.pyannote[2808].start 11130.27471875
transcript.pyannote[2808].end 11130.30846875
transcript.pyannote[2809].speaker SPEAKER_11
transcript.pyannote[2809].start 11130.30846875
transcript.pyannote[2809].end 11130.49409375
transcript.pyannote[2810].speaker SPEAKER_11
transcript.pyannote[2810].start 11130.84846875
transcript.pyannote[2810].end 11131.18596875
transcript.pyannote[2811].speaker SPEAKER_11
transcript.pyannote[2811].start 11131.50659375
transcript.pyannote[2811].end 11133.54846875
transcript.pyannote[2812].speaker SPEAKER_11
transcript.pyannote[2812].start 11134.17284375
transcript.pyannote[2812].end 11143.25159375
transcript.pyannote[2813].speaker SPEAKER_11
transcript.pyannote[2813].start 11144.24721875
transcript.pyannote[2813].end 11144.92221875
transcript.pyannote[2814].speaker SPEAKER_11
transcript.pyannote[2814].start 11145.31034375
transcript.pyannote[2814].end 11146.03596875
transcript.pyannote[2815].speaker SPEAKER_07
transcript.pyannote[2815].start 11146.03596875
transcript.pyannote[2815].end 11147.48721875
transcript.pyannote[2816].speaker SPEAKER_07
transcript.pyannote[2816].start 11147.79096875
transcript.pyannote[2816].end 11149.95096875
transcript.pyannote[2817].speaker SPEAKER_11
transcript.pyannote[2817].start 11148.87096875
transcript.pyannote[2817].end 11150.79471875
transcript.pyannote[2818].speaker SPEAKER_11
transcript.pyannote[2818].start 11151.01409375
transcript.pyannote[2818].end 11152.09409375
transcript.pyannote[2819].speaker SPEAKER_11
transcript.pyannote[2819].start 11152.19534375
transcript.pyannote[2819].end 11153.05596875
transcript.pyannote[2820].speaker SPEAKER_11
transcript.pyannote[2820].start 11153.32596875
transcript.pyannote[2820].end 11156.22846875
transcript.pyannote[2821].speaker SPEAKER_07
transcript.pyannote[2821].start 11153.37659375
transcript.pyannote[2821].end 11154.00096875
transcript.pyannote[2822].speaker SPEAKER_07
transcript.pyannote[2822].start 11156.36346875
transcript.pyannote[2822].end 11156.63346875
transcript.pyannote[2823].speaker SPEAKER_07
transcript.pyannote[2823].start 11157.03846875
transcript.pyannote[2823].end 11158.21971875
transcript.pyannote[2824].speaker SPEAKER_07
transcript.pyannote[2824].start 11158.59096875
transcript.pyannote[2824].end 11162.60721875
transcript.pyannote[2825].speaker SPEAKER_11
transcript.pyannote[2825].start 11162.60721875
transcript.pyannote[2825].end 11166.45471875
transcript.pyannote[2826].speaker SPEAKER_07
transcript.pyannote[2826].start 11162.62409375
transcript.pyannote[2826].end 11163.24846875
transcript.pyannote[2827].speaker SPEAKER_11
transcript.pyannote[2827].start 11166.92721875
transcript.pyannote[2827].end 11174.60534375
transcript.pyannote[2828].speaker SPEAKER_11
transcript.pyannote[2828].start 11174.89221875
transcript.pyannote[2828].end 11174.90909375
transcript.pyannote[2829].speaker SPEAKER_20
transcript.pyannote[2829].start 11174.90909375
transcript.pyannote[2829].end 11174.94284375
transcript.pyannote[2830].speaker SPEAKER_11
transcript.pyannote[2830].start 11174.94284375
transcript.pyannote[2830].end 11175.46596875
transcript.pyannote[2831].speaker SPEAKER_20
transcript.pyannote[2831].start 11174.95971875
transcript.pyannote[2831].end 11175.51659375
transcript.pyannote[2832].speaker SPEAKER_11
transcript.pyannote[2832].start 11176.19159375
transcript.pyannote[2832].end 11177.22096875
transcript.pyannote[2833].speaker SPEAKER_11
transcript.pyannote[2833].start 11177.40659375
transcript.pyannote[2833].end 11178.65534375
transcript.pyannote[2834].speaker SPEAKER_07
transcript.pyannote[2834].start 11177.62596875
transcript.pyannote[2834].end 11177.64284375
transcript.pyannote[2835].speaker SPEAKER_20
transcript.pyannote[2835].start 11177.64284375
transcript.pyannote[2835].end 11177.96346875
transcript.pyannote[2836].speaker SPEAKER_07
transcript.pyannote[2836].start 11177.96346875
transcript.pyannote[2836].end 11178.57096875
transcript.pyannote[2837].speaker SPEAKER_11
transcript.pyannote[2837].start 11179.38096875
transcript.pyannote[2837].end 11182.16534375
transcript.pyannote[2838].speaker SPEAKER_11
transcript.pyannote[2838].start 11182.45221875
transcript.pyannote[2838].end 11185.20284375
transcript.pyannote[2839].speaker SPEAKER_11
transcript.pyannote[2839].start 11185.27034375
transcript.pyannote[2839].end 11186.46846875
transcript.pyannote[2840].speaker SPEAKER_11
transcript.pyannote[2840].start 11186.68784375
transcript.pyannote[2840].end 11187.71721875
transcript.pyannote[2841].speaker SPEAKER_11
transcript.pyannote[2841].start 11187.83534375
transcript.pyannote[2841].end 11190.34971875
transcript.pyannote[2842].speaker SPEAKER_11
transcript.pyannote[2842].start 11190.56909375
transcript.pyannote[2842].end 11191.19346875
transcript.pyannote[2843].speaker SPEAKER_11
transcript.pyannote[2843].start 11191.37909375
transcript.pyannote[2843].end 11193.03284375
transcript.pyannote[2844].speaker SPEAKER_07
transcript.pyannote[2844].start 11193.03284375
transcript.pyannote[2844].end 11194.61909375
transcript.pyannote[2845].speaker SPEAKER_07
transcript.pyannote[2845].start 11194.75409375
transcript.pyannote[2845].end 11194.83846875
transcript.pyannote[2846].speaker SPEAKER_11
transcript.pyannote[2846].start 11194.83846875
transcript.pyannote[2846].end 11194.97346875
transcript.pyannote[2847].speaker SPEAKER_07
transcript.pyannote[2847].start 11194.97346875
transcript.pyannote[2847].end 11195.02409375
transcript.pyannote[2848].speaker SPEAKER_11
transcript.pyannote[2848].start 11195.02409375
transcript.pyannote[2848].end 11196.18846875
transcript.pyannote[2849].speaker SPEAKER_11
transcript.pyannote[2849].start 11196.34034375
transcript.pyannote[2849].end 11204.77784375
transcript.pyannote[2850].speaker SPEAKER_11
transcript.pyannote[2850].start 11204.99721875
transcript.pyannote[2850].end 11208.91221875
transcript.pyannote[2851].speaker SPEAKER_11
transcript.pyannote[2851].start 11209.45221875
transcript.pyannote[2851].end 11210.53221875
transcript.pyannote[2852].speaker SPEAKER_11
transcript.pyannote[2852].start 11210.75159375
transcript.pyannote[2852].end 11213.08034375
transcript.pyannote[2853].speaker SPEAKER_11
transcript.pyannote[2853].start 11213.50221875
transcript.pyannote[2853].end 11215.10534375
transcript.pyannote[2854].speaker SPEAKER_11
transcript.pyannote[2854].start 11215.69596875
transcript.pyannote[2854].end 11215.71284375
transcript.pyannote[2855].speaker SPEAKER_07
transcript.pyannote[2855].start 11215.71284375
transcript.pyannote[2855].end 11215.81409375
transcript.pyannote[2856].speaker SPEAKER_11
transcript.pyannote[2856].start 11215.81409375
transcript.pyannote[2856].end 11215.98284375
transcript.pyannote[2857].speaker SPEAKER_07
transcript.pyannote[2857].start 11215.98284375
transcript.pyannote[2857].end 11215.99971875
transcript.pyannote[2858].speaker SPEAKER_11
transcript.pyannote[2858].start 11215.99971875
transcript.pyannote[2858].end 11216.01659375
transcript.pyannote[2859].speaker SPEAKER_11
transcript.pyannote[2859].start 11216.16846875
transcript.pyannote[2859].end 11216.25284375
transcript.pyannote[2860].speaker SPEAKER_07
transcript.pyannote[2860].start 11216.25284375
transcript.pyannote[2860].end 11216.35409375
transcript.pyannote[2861].speaker SPEAKER_11
transcript.pyannote[2861].start 11216.35409375
transcript.pyannote[2861].end 11216.55659375
transcript.pyannote[2862].speaker SPEAKER_07
transcript.pyannote[2862].start 11216.55659375
transcript.pyannote[2862].end 11216.64096875
transcript.pyannote[2863].speaker SPEAKER_11
transcript.pyannote[2863].start 11216.64096875
transcript.pyannote[2863].end 11217.02909375
transcript.pyannote[2864].speaker SPEAKER_07
transcript.pyannote[2864].start 11217.02909375
transcript.pyannote[2864].end 11217.11346875
transcript.pyannote[2865].speaker SPEAKER_11
transcript.pyannote[2865].start 11217.61971875
transcript.pyannote[2865].end 11217.67034375
transcript.pyannote[2866].speaker SPEAKER_07
transcript.pyannote[2866].start 11217.67034375
transcript.pyannote[2866].end 11219.13846875
transcript.pyannote[2867].speaker SPEAKER_11
transcript.pyannote[2867].start 11219.13846875
transcript.pyannote[2867].end 11219.66159375
transcript.pyannote[2868].speaker SPEAKER_11
transcript.pyannote[2868].start 11219.99909375
transcript.pyannote[2868].end 11220.72471875
transcript.pyannote[2869].speaker SPEAKER_07
transcript.pyannote[2869].start 11221.02846875
transcript.pyannote[2869].end 11222.14221875
transcript.pyannote[2870].speaker SPEAKER_07
transcript.pyannote[2870].start 11222.31096875
transcript.pyannote[2870].end 11222.96909375
transcript.pyannote[2871].speaker SPEAKER_11
transcript.pyannote[2871].start 11222.96909375
transcript.pyannote[2871].end 11224.67346875
transcript.pyannote[2872].speaker SPEAKER_11
transcript.pyannote[2872].start 11224.96034375
transcript.pyannote[2872].end 11225.23034375
transcript.pyannote[2873].speaker SPEAKER_11
transcript.pyannote[2873].start 11225.68596875
transcript.pyannote[2873].end 11228.21721875
transcript.pyannote[2874].speaker SPEAKER_11
transcript.pyannote[2874].start 11228.67284375
transcript.pyannote[2874].end 11229.51659375
transcript.pyannote[2875].speaker SPEAKER_11
transcript.pyannote[2875].start 11230.15784375
transcript.pyannote[2875].end 11230.22534375
transcript.pyannote[2876].speaker SPEAKER_07
transcript.pyannote[2876].start 11230.22534375
transcript.pyannote[2876].end 11230.32659375
transcript.pyannote[2877].speaker SPEAKER_11
transcript.pyannote[2877].start 11230.32659375
transcript.pyannote[2877].end 11230.39409375
transcript.pyannote[2878].speaker SPEAKER_11
transcript.pyannote[2878].start 11230.64721875
transcript.pyannote[2878].end 11234.81534375
transcript.pyannote[2879].speaker SPEAKER_01
transcript.pyannote[2879].start 11231.10284375
transcript.pyannote[2879].end 11231.87909375
transcript.pyannote[2880].speaker SPEAKER_11
transcript.pyannote[2880].start 11234.93346875
transcript.pyannote[2880].end 11236.67159375
transcript.pyannote[2881].speaker SPEAKER_11
transcript.pyannote[2881].start 11236.90784375
transcript.pyannote[2881].end 11238.88221875
transcript.pyannote[2882].speaker SPEAKER_11
transcript.pyannote[2882].start 11239.01721875
transcript.pyannote[2882].end 11239.33784375
transcript.pyannote[2883].speaker SPEAKER_11
transcript.pyannote[2883].start 11239.59096875
transcript.pyannote[2883].end 11241.61596875
transcript.pyannote[2884].speaker SPEAKER_11
transcript.pyannote[2884].start 11241.83534375
transcript.pyannote[2884].end 11243.87721875
transcript.pyannote[2885].speaker SPEAKER_07
transcript.pyannote[2885].start 11245.39596875
transcript.pyannote[2885].end 11247.48846875
transcript.pyannote[2886].speaker SPEAKER_07
transcript.pyannote[2886].start 11247.99471875
transcript.pyannote[2886].end 11248.72034375
transcript.pyannote[2887].speaker SPEAKER_07
transcript.pyannote[2887].start 11248.88909375
transcript.pyannote[2887].end 11249.24346875
transcript.pyannote[2888].speaker SPEAKER_07
transcript.pyannote[2888].start 11249.98596875
transcript.pyannote[2888].end 11251.65659375
transcript.pyannote[2889].speaker SPEAKER_07
transcript.pyannote[2889].start 11252.66909375
transcript.pyannote[2889].end 11254.39034375
transcript.pyannote[2890].speaker SPEAKER_11
transcript.pyannote[2890].start 11254.39034375
transcript.pyannote[2890].end 11257.20846875
transcript.pyannote[2891].speaker SPEAKER_11
transcript.pyannote[2891].start 11257.76534375
transcript.pyannote[2891].end 11260.04346875
transcript.pyannote[2892].speaker SPEAKER_11
transcript.pyannote[2892].start 11260.49909375
transcript.pyannote[2892].end 11262.01784375
transcript.pyannote[2893].speaker SPEAKER_11
transcript.pyannote[2893].start 11262.13596875
transcript.pyannote[2893].end 11264.26221875
transcript.pyannote[2894].speaker SPEAKER_11
transcript.pyannote[2894].start 11264.61659375
transcript.pyannote[2894].end 11267.11409375
transcript.pyannote[2895].speaker SPEAKER_11
transcript.pyannote[2895].start 11267.21534375
transcript.pyannote[2895].end 11270.13471875
transcript.pyannote[2896].speaker SPEAKER_11
transcript.pyannote[2896].start 11270.45534375
transcript.pyannote[2896].end 11272.71659375
transcript.pyannote[2897].speaker SPEAKER_11
transcript.pyannote[2897].start 11273.03721875
transcript.pyannote[2897].end 11274.20159375
transcript.pyannote[2898].speaker SPEAKER_11
transcript.pyannote[2898].start 11274.45471875
transcript.pyannote[2898].end 11275.33221875
transcript.pyannote[2899].speaker SPEAKER_11
transcript.pyannote[2899].start 11275.58534375
transcript.pyannote[2899].end 11278.80846875
transcript.pyannote[2900].speaker SPEAKER_11
transcript.pyannote[2900].start 11279.01096875
transcript.pyannote[2900].end 11280.52971875
transcript.pyannote[2901].speaker SPEAKER_07
transcript.pyannote[2901].start 11280.93471875
transcript.pyannote[2901].end 11280.98534375
transcript.pyannote[2902].speaker SPEAKER_11
transcript.pyannote[2902].start 11280.98534375
transcript.pyannote[2902].end 11281.03596875
transcript.pyannote[2903].speaker SPEAKER_07
transcript.pyannote[2903].start 11281.03596875
transcript.pyannote[2903].end 11281.06971875
transcript.pyannote[2904].speaker SPEAKER_11
transcript.pyannote[2904].start 11281.06971875
transcript.pyannote[2904].end 11281.23846875
transcript.pyannote[2905].speaker SPEAKER_07
transcript.pyannote[2905].start 11281.23846875
transcript.pyannote[2905].end 11281.35659375
transcript.pyannote[2906].speaker SPEAKER_11
transcript.pyannote[2906].start 11281.35659375
transcript.pyannote[2906].end 11281.37346875
transcript.pyannote[2907].speaker SPEAKER_07
transcript.pyannote[2907].start 11281.59284375
transcript.pyannote[2907].end 11281.60971875
transcript.pyannote[2908].speaker SPEAKER_11
transcript.pyannote[2908].start 11281.60971875
transcript.pyannote[2908].end 11281.71096875
transcript.pyannote[2909].speaker SPEAKER_07
transcript.pyannote[2909].start 11281.71096875
transcript.pyannote[2909].end 11283.12846875
transcript.pyannote[2910].speaker SPEAKER_11
transcript.pyannote[2910].start 11283.12846875
transcript.pyannote[2910].end 11284.44471875
transcript.pyannote[2911].speaker SPEAKER_07
transcript.pyannote[2911].start 11283.14534375
transcript.pyannote[2911].end 11283.44909375
transcript.pyannote[2912].speaker SPEAKER_11
transcript.pyannote[2912].start 11284.86659375
transcript.pyannote[2912].end 11287.65096875
transcript.pyannote[2913].speaker SPEAKER_11
transcript.pyannote[2913].start 11287.97159375
transcript.pyannote[2913].end 11289.64221875
transcript.pyannote[2914].speaker SPEAKER_11
transcript.pyannote[2914].start 11289.99659375
transcript.pyannote[2914].end 11292.74721875
transcript.pyannote[2915].speaker SPEAKER_11
transcript.pyannote[2915].start 11292.93284375
transcript.pyannote[2915].end 11293.86096875
transcript.pyannote[2916].speaker SPEAKER_11
transcript.pyannote[2916].start 11293.92846875
transcript.pyannote[2916].end 11295.78471875
transcript.pyannote[2917].speaker SPEAKER_11
transcript.pyannote[2917].start 11296.12221875
transcript.pyannote[2917].end 11300.45909375
transcript.pyannote[2918].speaker SPEAKER_11
transcript.pyannote[2918].start 11300.61096875
transcript.pyannote[2918].end 11302.23096875
transcript.pyannote[2919].speaker SPEAKER_11
transcript.pyannote[2919].start 11302.73721875
transcript.pyannote[2919].end 11303.09159375
transcript.pyannote[2920].speaker SPEAKER_11
transcript.pyannote[2920].start 11303.85096875
transcript.pyannote[2920].end 11308.49159375
transcript.pyannote[2921].speaker SPEAKER_11
transcript.pyannote[2921].start 11309.74034375
transcript.pyannote[2921].end 11310.71909375
transcript.pyannote[2922].speaker SPEAKER_07
transcript.pyannote[2922].start 11311.47846875
transcript.pyannote[2922].end 11312.71034375
transcript.pyannote[2923].speaker SPEAKER_11
transcript.pyannote[2923].start 11312.37284375
transcript.pyannote[2923].end 11313.30096875
transcript.pyannote[2924].speaker SPEAKER_11
transcript.pyannote[2924].start 11313.45284375
transcript.pyannote[2924].end 11318.02596875
transcript.pyannote[2925].speaker SPEAKER_11
transcript.pyannote[2925].start 11318.19471875
transcript.pyannote[2925].end 11321.56971875
transcript.pyannote[2926].speaker SPEAKER_11
transcript.pyannote[2926].start 11321.92409375
transcript.pyannote[2926].end 11322.54846875
transcript.pyannote[2927].speaker SPEAKER_11
transcript.pyannote[2927].start 11322.93659375
transcript.pyannote[2927].end 11323.99971875
transcript.pyannote[2928].speaker SPEAKER_11
transcript.pyannote[2928].start 11324.25284375
transcript.pyannote[2928].end 11328.25221875
transcript.pyannote[2929].speaker SPEAKER_07
transcript.pyannote[2929].start 11328.75846875
transcript.pyannote[2929].end 11329.38284375
transcript.pyannote[2930].speaker SPEAKER_07
transcript.pyannote[2930].start 11329.90596875
transcript.pyannote[2930].end 11331.77909375
transcript.pyannote[2931].speaker SPEAKER_07
transcript.pyannote[2931].start 11332.30221875
transcript.pyannote[2931].end 11334.42846875
transcript.pyannote[2932].speaker SPEAKER_11
transcript.pyannote[2932].start 11332.60596875
transcript.pyannote[2932].end 11340.03096875
transcript.pyannote[2933].speaker SPEAKER_11
transcript.pyannote[2933].start 11340.80721875
transcript.pyannote[2933].end 11343.81096875
transcript.pyannote[2934].speaker SPEAKER_11
transcript.pyannote[2934].start 11344.31721875
transcript.pyannote[2934].end 11346.51096875
transcript.pyannote[2935].speaker SPEAKER_07
transcript.pyannote[2935].start 11347.42221875
transcript.pyannote[2935].end 11347.65846875
transcript.pyannote[2936].speaker SPEAKER_07
transcript.pyannote[2936].start 11348.58659375
transcript.pyannote[2936].end 11348.60346875
transcript.pyannote[2937].speaker SPEAKER_11
transcript.pyannote[2937].start 11348.60346875
transcript.pyannote[2937].end 11348.95784375
transcript.pyannote[2938].speaker SPEAKER_07
transcript.pyannote[2938].start 11348.95784375
transcript.pyannote[2938].end 11349.76784375
transcript.pyannote[2939].speaker SPEAKER_11
transcript.pyannote[2939].start 11349.76784375
transcript.pyannote[2939].end 11352.14721875
transcript.pyannote[2940].speaker SPEAKER_07
transcript.pyannote[2940].start 11349.78471875
transcript.pyannote[2940].end 11350.15596875
transcript.pyannote[2941].speaker SPEAKER_11
transcript.pyannote[2941].start 11352.23159375
transcript.pyannote[2941].end 11360.21346875
transcript.pyannote[2942].speaker SPEAKER_11
transcript.pyannote[2942].start 11360.61846875
transcript.pyannote[2942].end 11363.26784375
transcript.pyannote[2943].speaker SPEAKER_11
transcript.pyannote[2943].start 11363.41971875
transcript.pyannote[2943].end 11366.06909375
transcript.pyannote[2944].speaker SPEAKER_11
transcript.pyannote[2944].start 11366.42346875
transcript.pyannote[2944].end 11366.64284375
transcript.pyannote[2945].speaker SPEAKER_11
transcript.pyannote[2945].start 11366.77784375
transcript.pyannote[2945].end 11367.55409375
transcript.pyannote[2946].speaker SPEAKER_11
transcript.pyannote[2946].start 11367.58784375
transcript.pyannote[2946].end 11368.81971875
transcript.pyannote[2947].speaker SPEAKER_11
transcript.pyannote[2947].start 11369.35971875
transcript.pyannote[2947].end 11369.81534375
transcript.pyannote[2948].speaker SPEAKER_11
transcript.pyannote[2948].start 11370.22034375
transcript.pyannote[2948].end 11371.68846875
transcript.pyannote[2949].speaker SPEAKER_11
transcript.pyannote[2949].start 11372.54909375
transcript.pyannote[2949].end 11372.63346875
transcript.pyannote[2950].speaker SPEAKER_07
transcript.pyannote[2950].start 11372.63346875
transcript.pyannote[2950].end 11372.81909375
transcript.pyannote[2951].speaker SPEAKER_11
transcript.pyannote[2951].start 11372.81909375
transcript.pyannote[2951].end 11373.03846875
transcript.pyannote[2952].speaker SPEAKER_07
transcript.pyannote[2952].start 11373.03846875
transcript.pyannote[2952].end 11373.34221875
transcript.pyannote[2953].speaker SPEAKER_11
transcript.pyannote[2953].start 11373.34221875
transcript.pyannote[2953].end 11373.40971875
transcript.pyannote[2954].speaker SPEAKER_07
transcript.pyannote[2954].start 11373.40971875
transcript.pyannote[2954].end 11373.57846875
transcript.pyannote[2955].speaker SPEAKER_11
transcript.pyannote[2955].start 11373.57846875
transcript.pyannote[2955].end 11373.66284375
transcript.pyannote[2956].speaker SPEAKER_07
transcript.pyannote[2956].start 11373.66284375
transcript.pyannote[2956].end 11373.73034375
transcript.pyannote[2957].speaker SPEAKER_11
transcript.pyannote[2957].start 11373.73034375
transcript.pyannote[2957].end 11373.91596875
transcript.pyannote[2958].speaker SPEAKER_07
transcript.pyannote[2958].start 11373.91596875
transcript.pyannote[2958].end 11373.98346875
transcript.pyannote[2959].speaker SPEAKER_07
transcript.pyannote[2959].start 11374.33784375
transcript.pyannote[2959].end 11374.43909375
transcript.pyannote[2960].speaker SPEAKER_11
transcript.pyannote[2960].start 11374.43909375
transcript.pyannote[2960].end 11375.23221875
transcript.pyannote[2961].speaker SPEAKER_07
transcript.pyannote[2961].start 11374.45596875
transcript.pyannote[2961].end 11378.21909375
transcript.pyannote[2962].speaker SPEAKER_11
transcript.pyannote[2962].start 11375.62034375
transcript.pyannote[2962].end 11381.77971875
transcript.pyannote[2963].speaker SPEAKER_07
transcript.pyannote[2963].start 11380.31159375
transcript.pyannote[2963].end 11380.96971875
transcript.pyannote[2964].speaker SPEAKER_20
transcript.pyannote[2964].start 11380.96971875
transcript.pyannote[2964].end 11381.79659375
transcript.pyannote[2965].speaker SPEAKER_11
transcript.pyannote[2965].start 11381.79659375
transcript.pyannote[2965].end 11381.84721875
transcript.pyannote[2966].speaker SPEAKER_07
transcript.pyannote[2966].start 11381.84721875
transcript.pyannote[2966].end 11381.88096875
transcript.pyannote[2967].speaker SPEAKER_11
transcript.pyannote[2967].start 11382.30284375
transcript.pyannote[2967].end 11387.01096875
transcript.pyannote[2968].speaker SPEAKER_11
transcript.pyannote[2968].start 11387.36534375
transcript.pyannote[2968].end 11387.83784375
transcript.pyannote[2969].speaker SPEAKER_11
transcript.pyannote[2969].start 11388.14159375
transcript.pyannote[2969].end 11390.01471875
transcript.pyannote[2970].speaker SPEAKER_11
transcript.pyannote[2970].start 11390.38596875
transcript.pyannote[2970].end 11392.39409375
transcript.pyannote[2971].speaker SPEAKER_11
transcript.pyannote[2971].start 11392.69784375
transcript.pyannote[2971].end 11393.42346875
transcript.pyannote[2972].speaker SPEAKER_11
transcript.pyannote[2972].start 11393.79471875
transcript.pyannote[2972].end 11395.81971875
transcript.pyannote[2973].speaker SPEAKER_11
transcript.pyannote[2973].start 11396.02221875
transcript.pyannote[2973].end 11397.79409375
transcript.pyannote[2974].speaker SPEAKER_11
transcript.pyannote[2974].start 11398.01346875
transcript.pyannote[2974].end 11405.38784375
transcript.pyannote[2975].speaker SPEAKER_07
transcript.pyannote[2975].start 11403.04221875
transcript.pyannote[2975].end 11405.92784375
transcript.pyannote[2976].speaker SPEAKER_07
transcript.pyannote[2976].start 11406.46784375
transcript.pyannote[2976].end 11413.16721875
transcript.pyannote[2977].speaker SPEAKER_07
transcript.pyannote[2977].start 11413.47096875
transcript.pyannote[2977].end 11413.53846875
transcript.pyannote[2978].speaker SPEAKER_11
transcript.pyannote[2978].start 11413.53846875
transcript.pyannote[2978].end 11417.28471875
transcript.pyannote[2979].speaker SPEAKER_07
transcript.pyannote[2979].start 11413.55534375
transcript.pyannote[2979].end 11413.89284375
transcript.pyannote[2980].speaker SPEAKER_11
transcript.pyannote[2980].start 11418.38159375
transcript.pyannote[2980].end 11419.12409375
transcript.pyannote[2981].speaker SPEAKER_11
transcript.pyannote[2981].start 11419.51221875
transcript.pyannote[2981].end 11420.60909375
transcript.pyannote[2982].speaker SPEAKER_11
transcript.pyannote[2982].start 11421.09846875
transcript.pyannote[2982].end 11422.81971875
transcript.pyannote[2983].speaker SPEAKER_11
transcript.pyannote[2983].start 11423.44409375
transcript.pyannote[2983].end 11424.77721875
transcript.pyannote[2984].speaker SPEAKER_11
transcript.pyannote[2984].start 11424.97971875
transcript.pyannote[2984].end 11427.10596875
transcript.pyannote[2985].speaker SPEAKER_11
transcript.pyannote[2985].start 11428.16909375
transcript.pyannote[2985].end 11430.78471875
transcript.pyannote[2986].speaker SPEAKER_07
transcript.pyannote[2986].start 11430.43034375
transcript.pyannote[2986].end 11431.37534375
transcript.pyannote[2987].speaker SPEAKER_11
transcript.pyannote[2987].start 11431.37534375
transcript.pyannote[2987].end 11433.94034375
transcript.pyannote[2988].speaker SPEAKER_07
transcript.pyannote[2988].start 11431.39221875
transcript.pyannote[2988].end 11435.20596875
transcript.pyannote[2989].speaker SPEAKER_11
transcript.pyannote[2989].start 11434.14284375
transcript.pyannote[2989].end 11434.75034375
transcript.pyannote[2990].speaker SPEAKER_11
transcript.pyannote[2990].start 11435.07096875
transcript.pyannote[2990].end 11438.73284375
transcript.pyannote[2991].speaker SPEAKER_11
transcript.pyannote[2991].start 11438.98596875
transcript.pyannote[2991].end 11440.25159375
transcript.pyannote[2992].speaker SPEAKER_11
transcript.pyannote[2992].start 11440.62284375
transcript.pyannote[2992].end 11441.21346875
transcript.pyannote[2993].speaker SPEAKER_11
transcript.pyannote[2993].start 11441.66909375
transcript.pyannote[2993].end 11443.25534375
transcript.pyannote[2994].speaker SPEAKER_07
transcript.pyannote[2994].start 11443.52534375
transcript.pyannote[2994].end 11445.09471875
transcript.pyannote[2995].speaker SPEAKER_11
transcript.pyannote[2995].start 11445.09471875
transcript.pyannote[2995].end 11449.90409375
transcript.pyannote[2996].speaker SPEAKER_11
transcript.pyannote[2996].start 11450.66346875
transcript.pyannote[2996].end 11452.28346875
transcript.pyannote[2997].speaker SPEAKER_11
transcript.pyannote[2997].start 11452.53659375
transcript.pyannote[2997].end 11454.94971875
transcript.pyannote[2998].speaker SPEAKER_11
transcript.pyannote[2998].start 11456.18159375
transcript.pyannote[2998].end 11456.97471875
transcript.pyannote[2999].speaker SPEAKER_11
transcript.pyannote[2999].start 11457.75096875
transcript.pyannote[2999].end 11458.22346875
transcript.pyannote[3000].speaker SPEAKER_11
transcript.pyannote[3000].start 11458.67909375
transcript.pyannote[3000].end 11459.28659375
transcript.pyannote[3001].speaker SPEAKER_11
transcript.pyannote[3001].start 11459.45534375
transcript.pyannote[3001].end 11460.29909375
transcript.pyannote[3002].speaker SPEAKER_11
transcript.pyannote[3002].start 11460.48471875
transcript.pyannote[3002].end 11460.75471875
transcript.pyannote[3003].speaker SPEAKER_07
transcript.pyannote[3003].start 11460.75471875
transcript.pyannote[3003].end 11460.78846875
transcript.pyannote[3004].speaker SPEAKER_07
transcript.pyannote[3004].start 11461.10909375
transcript.pyannote[3004].end 11461.56471875
transcript.pyannote[3005].speaker SPEAKER_11
transcript.pyannote[3005].start 11461.56471875
transcript.pyannote[3005].end 11462.37471875
transcript.pyannote[3006].speaker SPEAKER_07
transcript.pyannote[3006].start 11462.61096875
transcript.pyannote[3006].end 11470.37346875
transcript.pyannote[3007].speaker SPEAKER_11
transcript.pyannote[3007].start 11465.73284375
transcript.pyannote[3007].end 11466.37409375
transcript.pyannote[3008].speaker SPEAKER_11
transcript.pyannote[3008].start 11467.85909375
transcript.pyannote[3008].end 11470.71096875
transcript.pyannote[3009].speaker SPEAKER_11
transcript.pyannote[3009].start 11471.35221875
transcript.pyannote[3009].end 11473.02284375
transcript.pyannote[3010].speaker SPEAKER_11
transcript.pyannote[3010].start 11473.47846875
transcript.pyannote[3010].end 11476.43159375
transcript.pyannote[3011].speaker SPEAKER_11
transcript.pyannote[3011].start 11476.66784375
transcript.pyannote[3011].end 11478.06846875
transcript.pyannote[3012].speaker SPEAKER_11
transcript.pyannote[3012].start 11478.86159375
transcript.pyannote[3012].end 11480.26221875
transcript.pyannote[3013].speaker SPEAKER_11
transcript.pyannote[3013].start 11480.75159375
transcript.pyannote[3013].end 11481.10596875
transcript.pyannote[3014].speaker SPEAKER_11
transcript.pyannote[3014].start 11481.49409375
transcript.pyannote[3014].end 11482.16909375
transcript.pyannote[3015].speaker SPEAKER_11
transcript.pyannote[3015].start 11483.38409375
transcript.pyannote[3015].end 11483.68784375
transcript.pyannote[3016].speaker SPEAKER_11
transcript.pyannote[3016].start 11484.32909375
transcript.pyannote[3016].end 11486.21909375
transcript.pyannote[3017].speaker SPEAKER_11
transcript.pyannote[3017].start 11486.64096875
transcript.pyannote[3017].end 11490.03284375
transcript.pyannote[3018].speaker SPEAKER_11
transcript.pyannote[3018].start 11492.53034375
transcript.pyannote[3018].end 11492.56409375
transcript.pyannote[3019].speaker SPEAKER_07
transcript.pyannote[3019].start 11492.56409375
transcript.pyannote[3019].end 11492.59784375
transcript.pyannote[3020].speaker SPEAKER_11
transcript.pyannote[3020].start 11492.59784375
transcript.pyannote[3020].end 11492.78346875
transcript.pyannote[3021].speaker SPEAKER_11
transcript.pyannote[3021].start 11492.90159375
transcript.pyannote[3021].end 11495.21346875
transcript.pyannote[3022].speaker SPEAKER_11
transcript.pyannote[3022].start 11495.85471875
transcript.pyannote[3022].end 11497.23846875
transcript.pyannote[3023].speaker SPEAKER_11
transcript.pyannote[3023].start 11498.57159375
transcript.pyannote[3023].end 11500.74846875
transcript.pyannote[3024].speaker SPEAKER_11
transcript.pyannote[3024].start 11501.22096875
transcript.pyannote[3024].end 11504.88284375
transcript.pyannote[3025].speaker SPEAKER_11
transcript.pyannote[3025].start 11505.55784375
transcript.pyannote[3025].end 11507.66721875
transcript.pyannote[3026].speaker SPEAKER_11
transcript.pyannote[3026].start 11508.51096875
transcript.pyannote[3026].end 11509.38846875
transcript.pyannote[3027].speaker SPEAKER_11
transcript.pyannote[3027].start 11509.99596875
transcript.pyannote[3027].end 11512.20659375
transcript.pyannote[3028].speaker SPEAKER_11
transcript.pyannote[3028].start 11512.45971875
transcript.pyannote[3028].end 11519.98596875
transcript.pyannote[3029].speaker SPEAKER_11
transcript.pyannote[3029].start 11520.69471875
transcript.pyannote[3029].end 11521.09971875
transcript.pyannote[3030].speaker SPEAKER_11
transcript.pyannote[3030].start 11522.38221875
transcript.pyannote[3030].end 11523.09096875
transcript.pyannote[3031].speaker SPEAKER_20
transcript.pyannote[3031].start 11523.09096875
transcript.pyannote[3031].end 11523.41159375
transcript.pyannote[3032].speaker SPEAKER_11
transcript.pyannote[3032].start 11523.41159375
transcript.pyannote[3032].end 11527.57971875
transcript.pyannote[3033].speaker SPEAKER_11
transcript.pyannote[3033].start 11528.11971875
transcript.pyannote[3033].end 11529.65534375
transcript.pyannote[3034].speaker SPEAKER_11
transcript.pyannote[3034].start 11529.87471875
transcript.pyannote[3034].end 11531.46096875
transcript.pyannote[3035].speaker SPEAKER_11
transcript.pyannote[3035].start 11532.72659375
transcript.pyannote[3035].end 11535.69659375
transcript.pyannote[3036].speaker SPEAKER_11
transcript.pyannote[3036].start 11536.20284375
transcript.pyannote[3036].end 11537.62034375
transcript.pyannote[3037].speaker SPEAKER_11
transcript.pyannote[3037].start 11537.78909375
transcript.pyannote[3037].end 11539.34159375
transcript.pyannote[3038].speaker SPEAKER_11
transcript.pyannote[3038].start 11539.98284375
transcript.pyannote[3038].end 11541.82221875
transcript.pyannote[3039].speaker SPEAKER_11
transcript.pyannote[3039].start 11541.90659375
transcript.pyannote[3039].end 11543.49284375
transcript.pyannote[3040].speaker SPEAKER_11
transcript.pyannote[3040].start 11543.88096875
transcript.pyannote[3040].end 11544.55596875
transcript.pyannote[3041].speaker SPEAKER_11
transcript.pyannote[3041].start 11544.84284375
transcript.pyannote[3041].end 11545.97346875
transcript.pyannote[3042].speaker SPEAKER_11
transcript.pyannote[3042].start 11546.22659375
transcript.pyannote[3042].end 11547.39096875
transcript.pyannote[3043].speaker SPEAKER_11
transcript.pyannote[3043].start 11548.89284375
transcript.pyannote[3043].end 11549.33159375
transcript.pyannote[3044].speaker SPEAKER_11
transcript.pyannote[3044].start 11550.58034375
transcript.pyannote[3044].end 11551.62659375
transcript.pyannote[3045].speaker SPEAKER_11
transcript.pyannote[3045].start 11551.96409375
transcript.pyannote[3045].end 11552.75721875
transcript.pyannote[3046].speaker SPEAKER_11
transcript.pyannote[3046].start 11552.92596875
transcript.pyannote[3046].end 11554.51221875
transcript.pyannote[3047].speaker SPEAKER_11
transcript.pyannote[3047].start 11554.95096875
transcript.pyannote[3047].end 11556.14909375
transcript.pyannote[3048].speaker SPEAKER_11
transcript.pyannote[3048].start 11556.43596875
transcript.pyannote[3048].end 11557.80284375
transcript.pyannote[3049].speaker SPEAKER_11
transcript.pyannote[3049].start 11557.81971875
transcript.pyannote[3049].end 11558.91659375
transcript.pyannote[3050].speaker SPEAKER_11
transcript.pyannote[3050].start 11559.13596875
transcript.pyannote[3050].end 11559.99659375
transcript.pyannote[3051].speaker SPEAKER_11
transcript.pyannote[3051].start 11560.19909375
transcript.pyannote[3051].end 11561.58284375
transcript.pyannote[3052].speaker SPEAKER_11
transcript.pyannote[3052].start 11561.81909375
transcript.pyannote[3052].end 11562.57846875
transcript.pyannote[3053].speaker SPEAKER_11
transcript.pyannote[3053].start 11563.06784375
transcript.pyannote[3053].end 11563.75971875
transcript.pyannote[3054].speaker SPEAKER_11
transcript.pyannote[3054].start 11564.24909375
transcript.pyannote[3054].end 11564.95784375
transcript.pyannote[3055].speaker SPEAKER_11
transcript.pyannote[3055].start 11565.70034375
transcript.pyannote[3055].end 11566.57784375
transcript.pyannote[3056].speaker SPEAKER_11
transcript.pyannote[3056].start 11566.94909375
transcript.pyannote[3056].end 11569.98659375
transcript.pyannote[3057].speaker SPEAKER_11
transcript.pyannote[3057].start 11570.69534375
transcript.pyannote[3057].end 11572.88909375
transcript.pyannote[3058].speaker SPEAKER_11
transcript.pyannote[3058].start 11573.17596875
transcript.pyannote[3058].end 11573.80034375
transcript.pyannote[3059].speaker SPEAKER_11
transcript.pyannote[3059].start 11574.07034375
transcript.pyannote[3059].end 11582.15346875
transcript.pyannote[3060].speaker SPEAKER_11
transcript.pyannote[3060].start 11582.44034375
transcript.pyannote[3060].end 11584.39784375
transcript.pyannote[3061].speaker SPEAKER_11
transcript.pyannote[3061].start 11585.07284375
transcript.pyannote[3061].end 11586.15284375
transcript.pyannote[3062].speaker SPEAKER_11
transcript.pyannote[3062].start 11586.99659375
transcript.pyannote[3062].end 11587.67159375
transcript.pyannote[3063].speaker SPEAKER_11
transcript.pyannote[3063].start 11588.17784375
transcript.pyannote[3063].end 11591.43471875
transcript.pyannote[3064].speaker SPEAKER_11
transcript.pyannote[3064].start 11591.95784375
transcript.pyannote[3064].end 11593.18971875
transcript.pyannote[3065].speaker SPEAKER_11
transcript.pyannote[3065].start 11593.66221875
transcript.pyannote[3065].end 11595.18096875
transcript.pyannote[3066].speaker SPEAKER_11
transcript.pyannote[3066].start 11595.56909375
transcript.pyannote[3066].end 11600.41221875
transcript.pyannote[3067].speaker SPEAKER_11
transcript.pyannote[3067].start 11600.66534375
transcript.pyannote[3067].end 11601.49221875
transcript.pyannote[3068].speaker SPEAKER_11
transcript.pyannote[3068].start 11602.26846875
transcript.pyannote[3068].end 11604.42846875
transcript.pyannote[3069].speaker SPEAKER_11
transcript.pyannote[3069].start 11604.96846875
transcript.pyannote[3069].end 11605.62659375
transcript.pyannote[3070].speaker SPEAKER_11
transcript.pyannote[3070].start 11606.45346875
transcript.pyannote[3070].end 11607.04409375
transcript.pyannote[3071].speaker SPEAKER_07
transcript.pyannote[3071].start 11607.85409375
transcript.pyannote[3071].end 11609.11971875
transcript.pyannote[3072].speaker SPEAKER_11
transcript.pyannote[3072].start 11608.90034375
transcript.pyannote[3072].end 11611.39784375
transcript.pyannote[3073].speaker SPEAKER_11
transcript.pyannote[3073].start 11611.71846875
transcript.pyannote[3073].end 11614.65471875
transcript.pyannote[3074].speaker SPEAKER_11
transcript.pyannote[3074].start 11615.05971875
transcript.pyannote[3074].end 11616.67971875
transcript.pyannote[3075].speaker SPEAKER_11
transcript.pyannote[3075].start 11616.89909375
transcript.pyannote[3075].end 11617.89471875
transcript.pyannote[3076].speaker SPEAKER_11
transcript.pyannote[3076].start 11618.31659375
transcript.pyannote[3076].end 11619.56534375
transcript.pyannote[3077].speaker SPEAKER_11
transcript.pyannote[3077].start 11619.63284375
transcript.pyannote[3077].end 11620.59471875
transcript.pyannote[3078].speaker SPEAKER_11
transcript.pyannote[3078].start 11620.79721875
transcript.pyannote[3078].end 11621.79284375
transcript.pyannote[3079].speaker SPEAKER_11
transcript.pyannote[3079].start 11622.04596875
transcript.pyannote[3079].end 11625.10034375
transcript.pyannote[3080].speaker SPEAKER_11
transcript.pyannote[3080].start 11625.38721875
transcript.pyannote[3080].end 11626.48409375
transcript.pyannote[3081].speaker SPEAKER_11
transcript.pyannote[3081].start 11626.95659375
transcript.pyannote[3081].end 11627.53034375
transcript.pyannote[3082].speaker SPEAKER_11
transcript.pyannote[3082].start 11627.81721875
transcript.pyannote[3082].end 11628.28971875
transcript.pyannote[3083].speaker SPEAKER_11
transcript.pyannote[3083].start 11628.61034375
transcript.pyannote[3083].end 11630.87159375
transcript.pyannote[3084].speaker SPEAKER_11
transcript.pyannote[3084].start 11631.52971875
transcript.pyannote[3084].end 11633.14971875
transcript.pyannote[3085].speaker SPEAKER_11
transcript.pyannote[3085].start 11633.52096875
transcript.pyannote[3085].end 11634.65159375
transcript.pyannote[3086].speaker SPEAKER_11
transcript.pyannote[3086].start 11635.41096875
transcript.pyannote[3086].end 11636.64284375
transcript.pyannote[3087].speaker SPEAKER_07
transcript.pyannote[3087].start 11639.19096875
transcript.pyannote[3087].end 11643.02159375
transcript.pyannote[3088].speaker SPEAKER_11
transcript.pyannote[3088].start 11639.32596875
transcript.pyannote[3088].end 11639.52846875
transcript.pyannote[3089].speaker SPEAKER_11
transcript.pyannote[3089].start 11641.24971875
transcript.pyannote[3089].end 11642.19471875
transcript.pyannote[3090].speaker SPEAKER_11
transcript.pyannote[3090].start 11642.43096875
transcript.pyannote[3090].end 11646.81846875
transcript.pyannote[3091].speaker SPEAKER_11
transcript.pyannote[3091].start 11647.20659375
transcript.pyannote[3091].end 11652.26909375
transcript.pyannote[3092].speaker SPEAKER_11
transcript.pyannote[3092].start 11652.58971875
transcript.pyannote[3092].end 11657.29784375
transcript.pyannote[3093].speaker SPEAKER_11
transcript.pyannote[3093].start 11657.46659375
transcript.pyannote[3093].end 11658.47909375
transcript.pyannote[3094].speaker SPEAKER_11
transcript.pyannote[3094].start 11659.13721875
transcript.pyannote[3094].end 11662.14096875
transcript.pyannote[3095].speaker SPEAKER_11
transcript.pyannote[3095].start 11662.42784375
transcript.pyannote[3095].end 11663.81159375
transcript.pyannote[3096].speaker SPEAKER_11
transcript.pyannote[3096].start 11664.11534375
transcript.pyannote[3096].end 11665.51596875
transcript.pyannote[3097].speaker SPEAKER_07
transcript.pyannote[3097].start 11665.78596875
transcript.pyannote[3097].end 11666.17409375
transcript.pyannote[3098].speaker SPEAKER_11
transcript.pyannote[3098].start 11666.37659375
transcript.pyannote[3098].end 11667.22034375
transcript.pyannote[3099].speaker SPEAKER_11
transcript.pyannote[3099].start 11667.82784375
transcript.pyannote[3099].end 11668.31721875
transcript.pyannote[3100].speaker SPEAKER_11
transcript.pyannote[3100].start 11669.26221875
transcript.pyannote[3100].end 11671.72596875
transcript.pyannote[3101].speaker SPEAKER_11
transcript.pyannote[3101].start 11671.96221875
transcript.pyannote[3101].end 11675.69159375
transcript.pyannote[3102].speaker SPEAKER_11
transcript.pyannote[3102].start 11675.99534375
transcript.pyannote[3102].end 11676.70409375
transcript.pyannote[3103].speaker SPEAKER_07
transcript.pyannote[3103].start 11677.51409375
transcript.pyannote[3103].end 11677.54784375
transcript.pyannote[3104].speaker SPEAKER_05
transcript.pyannote[3104].start 11677.54784375
transcript.pyannote[3104].end 11677.58159375
transcript.pyannote[3105].speaker SPEAKER_07
transcript.pyannote[3105].start 11677.58159375
transcript.pyannote[3105].end 11677.61534375
transcript.pyannote[3106].speaker SPEAKER_07
transcript.pyannote[3106].start 11677.86846875
transcript.pyannote[3106].end 11677.88534375
transcript.pyannote[3107].speaker SPEAKER_11
transcript.pyannote[3107].start 11677.88534375
transcript.pyannote[3107].end 11677.96971875
transcript.pyannote[3108].speaker SPEAKER_07
transcript.pyannote[3108].start 11677.96971875
transcript.pyannote[3108].end 11678.03721875
transcript.pyannote[3109].speaker SPEAKER_11
transcript.pyannote[3109].start 11678.03721875
transcript.pyannote[3109].end 11678.05409375
transcript.pyannote[3110].speaker SPEAKER_07
transcript.pyannote[3110].start 11678.05409375
transcript.pyannote[3110].end 11678.22284375
transcript.pyannote[3111].speaker SPEAKER_11
transcript.pyannote[3111].start 11678.22284375
transcript.pyannote[3111].end 11678.27346875
transcript.pyannote[3112].speaker SPEAKER_07
transcript.pyannote[3112].start 11678.27346875
transcript.pyannote[3112].end 11678.29034375
transcript.pyannote[3113].speaker SPEAKER_11
transcript.pyannote[3113].start 11678.29034375
transcript.pyannote[3113].end 11678.37471875
transcript.pyannote[3114].speaker SPEAKER_07
transcript.pyannote[3114].start 11678.37471875
transcript.pyannote[3114].end 11678.62784375
transcript.pyannote[3115].speaker SPEAKER_11
transcript.pyannote[3115].start 11678.62784375
transcript.pyannote[3115].end 11678.64471875
transcript.pyannote[3116].speaker SPEAKER_07
transcript.pyannote[3116].start 11678.64471875
transcript.pyannote[3116].end 11678.79659375
transcript.pyannote[3117].speaker SPEAKER_11
transcript.pyannote[3117].start 11678.79659375
transcript.pyannote[3117].end 11678.83034375
transcript.pyannote[3118].speaker SPEAKER_07
transcript.pyannote[3118].start 11678.83034375
transcript.pyannote[3118].end 11678.96534375
transcript.pyannote[3119].speaker SPEAKER_11
transcript.pyannote[3119].start 11678.96534375
transcript.pyannote[3119].end 11684.92221875
transcript.pyannote[3120].speaker SPEAKER_11
transcript.pyannote[3120].start 11685.25971875
transcript.pyannote[3120].end 11688.11159375
transcript.pyannote[3121].speaker SPEAKER_11
transcript.pyannote[3121].start 11688.51659375
transcript.pyannote[3121].end 11689.98471875
transcript.pyannote[3122].speaker SPEAKER_11
transcript.pyannote[3122].start 11690.25471875
transcript.pyannote[3122].end 11692.92096875
transcript.pyannote[3123].speaker SPEAKER_11
transcript.pyannote[3123].start 11693.35971875
transcript.pyannote[3123].end 11695.33409375
transcript.pyannote[3124].speaker SPEAKER_11
transcript.pyannote[3124].start 11695.51971875
transcript.pyannote[3124].end 11710.62284375
transcript.pyannote[3125].speaker SPEAKER_07
transcript.pyannote[3125].start 11710.62284375
transcript.pyannote[3125].end 11710.75784375
transcript.pyannote[3126].speaker SPEAKER_11
transcript.pyannote[3126].start 11710.75784375
transcript.pyannote[3126].end 11710.77471875
transcript.pyannote[3127].speaker SPEAKER_07
transcript.pyannote[3127].start 11710.77471875
transcript.pyannote[3127].end 11710.79159375
transcript.pyannote[3128].speaker SPEAKER_07
transcript.pyannote[3128].start 11711.09534375
transcript.pyannote[3128].end 11714.31846875
transcript.pyannote[3129].speaker SPEAKER_07
transcript.pyannote[3129].start 11714.85846875
transcript.pyannote[3129].end 11725.25346875
transcript.pyannote[3130].speaker SPEAKER_11
transcript.pyannote[3130].start 11723.19471875
transcript.pyannote[3130].end 11725.38846875
transcript.pyannote[3131].speaker SPEAKER_11
transcript.pyannote[3131].start 11725.65846875
transcript.pyannote[3131].end 11726.68784375
transcript.pyannote[3132].speaker SPEAKER_11
transcript.pyannote[3132].start 11726.89034375
transcript.pyannote[3132].end 11733.92721875
transcript.pyannote[3133].speaker SPEAKER_07
transcript.pyannote[3133].start 11731.98659375
transcript.pyannote[3133].end 11733.89346875
transcript.pyannote[3134].speaker SPEAKER_07
transcript.pyannote[3134].start 11733.92721875
transcript.pyannote[3134].end 11733.97784375
transcript.pyannote[3135].speaker SPEAKER_07
transcript.pyannote[3135].start 11734.14659375
transcript.pyannote[3135].end 11736.17159375
transcript.pyannote[3136].speaker SPEAKER_11
transcript.pyannote[3136].start 11734.58534375
transcript.pyannote[3136].end 11736.20534375
transcript.pyannote[3137].speaker SPEAKER_07
transcript.pyannote[3137].start 11736.20534375
transcript.pyannote[3137].end 11740.22159375
transcript.pyannote[3138].speaker SPEAKER_11
transcript.pyannote[3138].start 11738.43284375
transcript.pyannote[3138].end 11742.58409375
transcript.pyannote[3139].speaker SPEAKER_11
transcript.pyannote[3139].start 11742.63471875
transcript.pyannote[3139].end 11746.14471875
transcript.pyannote[3140].speaker SPEAKER_11
transcript.pyannote[3140].start 11746.24596875
transcript.pyannote[3140].end 11750.65034375
transcript.pyannote[3141].speaker SPEAKER_11
transcript.pyannote[3141].start 11750.93721875
transcript.pyannote[3141].end 11752.08471875
transcript.pyannote[3142].speaker SPEAKER_11
transcript.pyannote[3142].start 11752.35471875
transcript.pyannote[3142].end 11755.03784375
transcript.pyannote[3143].speaker SPEAKER_11
transcript.pyannote[3143].start 11755.18971875
transcript.pyannote[3143].end 11761.07909375
transcript.pyannote[3144].speaker SPEAKER_11
transcript.pyannote[3144].start 11761.18034375
transcript.pyannote[3144].end 11761.87221875
transcript.pyannote[3145].speaker SPEAKER_11
transcript.pyannote[3145].start 11762.36159375
transcript.pyannote[3145].end 11764.85909375
transcript.pyannote[3146].speaker SPEAKER_11
transcript.pyannote[3146].start 11771.64284375
transcript.pyannote[3146].end 11772.89159375
transcript.pyannote[3147].speaker SPEAKER_11
transcript.pyannote[3147].start 11773.41471875
transcript.pyannote[3147].end 11773.61721875
transcript.pyannote[3148].speaker SPEAKER_11
transcript.pyannote[3148].start 11773.95471875
transcript.pyannote[3148].end 11774.91659375
transcript.pyannote[3149].speaker SPEAKER_11
transcript.pyannote[3149].start 11775.27096875
transcript.pyannote[3149].end 11777.38034375
transcript.pyannote[3150].speaker SPEAKER_11
transcript.pyannote[3150].start 11777.76846875
transcript.pyannote[3150].end 11778.91596875
transcript.pyannote[3151].speaker SPEAKER_11
transcript.pyannote[3151].start 11779.37159375
transcript.pyannote[3151].end 11781.39659375
transcript.pyannote[3152].speaker SPEAKER_11
transcript.pyannote[3152].start 11781.71721875
transcript.pyannote[3152].end 11793.07409375
transcript.pyannote[3153].speaker SPEAKER_11
transcript.pyannote[3153].start 11793.63096875
transcript.pyannote[3153].end 11798.50784375
transcript.pyannote[3154].speaker SPEAKER_11
transcript.pyannote[3154].start 11798.82846875
transcript.pyannote[3154].end 11802.33846875
transcript.pyannote[3155].speaker SPEAKER_07
transcript.pyannote[3155].start 11802.82784375
transcript.pyannote[3155].end 11806.03409375
transcript.pyannote[3156].speaker SPEAKER_11
transcript.pyannote[3156].start 11805.22409375
transcript.pyannote[3156].end 11805.29159375
transcript.pyannote[3157].speaker SPEAKER_25
transcript.pyannote[3157].start 11805.29159375
transcript.pyannote[3157].end 11806.57409375
transcript.pyannote[3158].speaker SPEAKER_07
transcript.pyannote[3158].start 11806.35471875
transcript.pyannote[3158].end 11806.40534375
transcript.pyannote[3159].speaker SPEAKER_07
transcript.pyannote[3159].start 11806.42221875
transcript.pyannote[3159].end 11806.43909375
transcript.pyannote[3160].speaker SPEAKER_07
transcript.pyannote[3160].start 11806.57409375
transcript.pyannote[3160].end 11808.83534375
transcript.pyannote[3161].speaker SPEAKER_25
transcript.pyannote[3161].start 11806.87784375
transcript.pyannote[3161].end 11814.97784375
transcript.pyannote[3162].speaker SPEAKER_07
transcript.pyannote[3162].start 11810.92784375
transcript.pyannote[3162].end 11811.02909375
transcript.pyannote[3163].speaker SPEAKER_11
transcript.pyannote[3163].start 11811.02909375
transcript.pyannote[3163].end 11811.06284375
transcript.pyannote[3164].speaker SPEAKER_07
transcript.pyannote[3164].start 11811.06284375
transcript.pyannote[3164].end 11811.13034375
transcript.pyannote[3165].speaker SPEAKER_11
transcript.pyannote[3165].start 11811.13034375
transcript.pyannote[3165].end 11813.39159375
transcript.pyannote[3166].speaker SPEAKER_11
transcript.pyannote[3166].start 11813.54346875
transcript.pyannote[3166].end 11818.40346875
transcript.pyannote[3167].speaker SPEAKER_25
transcript.pyannote[3167].start 11815.01159375
transcript.pyannote[3167].end 11815.36596875
transcript.pyannote[3168].speaker SPEAKER_25
transcript.pyannote[3168].start 11817.49221875
transcript.pyannote[3168].end 11818.01534375
transcript.pyannote[3169].speaker SPEAKER_25
transcript.pyannote[3169].start 11818.40346875
transcript.pyannote[3169].end 11821.42409375
transcript.pyannote[3170].speaker SPEAKER_11
transcript.pyannote[3170].start 11819.19659375
transcript.pyannote[3170].end 11822.40284375
transcript.pyannote[3171].speaker SPEAKER_25
transcript.pyannote[3171].start 11822.40284375
transcript.pyannote[3171].end 11822.55471875
transcript.pyannote[3172].speaker SPEAKER_11
transcript.pyannote[3172].start 11823.22971875
transcript.pyannote[3172].end 11826.63846875
transcript.pyannote[3173].speaker SPEAKER_27
transcript.pyannote[3173].start 11828.51159375
transcript.pyannote[3173].end 11828.76471875
transcript.pyannote[3174].speaker SPEAKER_27
transcript.pyannote[3174].start 11829.30471875
transcript.pyannote[3174].end 11830.36784375
transcript.pyannote[3175].speaker SPEAKER_27
transcript.pyannote[3175].start 11830.53659375
transcript.pyannote[3175].end 11831.11034375
transcript.pyannote[3176].speaker SPEAKER_27
transcript.pyannote[3176].start 11832.13971875
transcript.pyannote[3176].end 11834.29971875
transcript.pyannote[3177].speaker SPEAKER_20
transcript.pyannote[3177].start 11836.08846875
transcript.pyannote[3177].end 11836.35846875
transcript.pyannote[3178].speaker SPEAKER_15
transcript.pyannote[3178].start 11842.46721875
transcript.pyannote[3178].end 11843.83409375
transcript.pyannote[3179].speaker SPEAKER_15
transcript.pyannote[3179].start 11844.13784375
transcript.pyannote[3179].end 11846.16284375
transcript.pyannote[3180].speaker SPEAKER_15
transcript.pyannote[3180].start 11846.68596875
transcript.pyannote[3180].end 11848.30596875
transcript.pyannote[3181].speaker SPEAKER_27
transcript.pyannote[3181].start 11848.72784375
transcript.pyannote[3181].end 11850.24659375
transcript.pyannote[3182].speaker SPEAKER_27
transcript.pyannote[3182].start 11850.53346875
transcript.pyannote[3182].end 11851.47846875
transcript.pyannote[3183].speaker SPEAKER_15
transcript.pyannote[3183].start 11855.56221875
transcript.pyannote[3183].end 11856.13596875
transcript.pyannote[3184].speaker SPEAKER_23
transcript.pyannote[3184].start 11855.71409375
transcript.pyannote[3184].end 11855.86596875
transcript.pyannote[3185].speaker SPEAKER_23
transcript.pyannote[3185].start 11856.13596875
transcript.pyannote[3185].end 11856.37221875
transcript.pyannote[3186].speaker SPEAKER_15
transcript.pyannote[3186].start 11856.37221875
transcript.pyannote[3186].end 11857.87409375
transcript.pyannote[3187].speaker SPEAKER_15
transcript.pyannote[3187].start 11859.03846875
transcript.pyannote[3187].end 11862.22784375
transcript.pyannote[3188].speaker SPEAKER_15
transcript.pyannote[3188].start 11862.54846875
transcript.pyannote[3188].end 11865.21471875
transcript.pyannote[3189].speaker SPEAKER_15
transcript.pyannote[3189].start 11865.63659375
transcript.pyannote[3189].end 11884.30034375
transcript.pyannote[3190].speaker SPEAKER_15
transcript.pyannote[3190].start 11884.58721875
transcript.pyannote[3190].end 11885.14409375
transcript.pyannote[3191].speaker SPEAKER_15
transcript.pyannote[3191].start 11886.37596875
transcript.pyannote[3191].end 11888.65409375
transcript.pyannote[3192].speaker SPEAKER_15
transcript.pyannote[3192].start 11889.24471875
transcript.pyannote[3192].end 11890.17284375
transcript.pyannote[3193].speaker SPEAKER_15
transcript.pyannote[3193].start 11890.64534375
transcript.pyannote[3193].end 11896.04534375
transcript.pyannote[3194].speaker SPEAKER_15
transcript.pyannote[3194].start 11896.43346875
transcript.pyannote[3194].end 11900.77034375
transcript.pyannote[3195].speaker SPEAKER_15
transcript.pyannote[3195].start 11901.83346875
transcript.pyannote[3195].end 11916.48096875
transcript.pyannote[3196].speaker SPEAKER_15
transcript.pyannote[3196].start 11916.88596875
transcript.pyannote[3196].end 11918.80971875
transcript.pyannote[3197].speaker SPEAKER_15
transcript.pyannote[3197].start 11919.50159375
transcript.pyannote[3197].end 11923.88909375
transcript.pyannote[3198].speaker SPEAKER_25
transcript.pyannote[3198].start 11925.74534375
transcript.pyannote[3198].end 11929.08659375
transcript.pyannote[3199].speaker SPEAKER_20
transcript.pyannote[3199].start 11929.72784375
transcript.pyannote[3199].end 11930.03159375
transcript.pyannote[3200].speaker SPEAKER_25
transcript.pyannote[3200].start 11930.52096875
transcript.pyannote[3200].end 11930.75721875
transcript.pyannote[3201].speaker SPEAKER_25
transcript.pyannote[3201].start 11931.71909375
transcript.pyannote[3201].end 11932.86659375
transcript.pyannote[3202].speaker SPEAKER_25
transcript.pyannote[3202].start 11934.26721875
transcript.pyannote[3202].end 11935.38096875
transcript.pyannote[3203].speaker SPEAKER_25
transcript.pyannote[3203].start 11935.98846875
transcript.pyannote[3203].end 11938.78971875
transcript.pyannote[3204].speaker SPEAKER_15
transcript.pyannote[3204].start 11936.14034375
transcript.pyannote[3204].end 11936.95034375
transcript.pyannote[3205].speaker SPEAKER_25
transcript.pyannote[3205].start 11939.09346875
transcript.pyannote[3205].end 11947.02471875
transcript.pyannote[3206].speaker SPEAKER_15
transcript.pyannote[3206].start 11944.39221875
transcript.pyannote[3206].end 11946.02909375
transcript.pyannote[3207].speaker SPEAKER_15
transcript.pyannote[3207].start 11947.02471875
transcript.pyannote[3207].end 11948.62784375
transcript.pyannote[3208].speaker SPEAKER_15
transcript.pyannote[3208].start 11949.53909375
transcript.pyannote[3208].end 11961.60471875
transcript.pyannote[3209].speaker SPEAKER_15
transcript.pyannote[3209].start 11961.82409375
transcript.pyannote[3209].end 11963.03909375
transcript.pyannote[3210].speaker SPEAKER_25
transcript.pyannote[3210].start 11963.03909375
transcript.pyannote[3210].end 11969.40096875
transcript.pyannote[3211].speaker SPEAKER_25
transcript.pyannote[3211].start 11969.72159375
transcript.pyannote[3211].end 11978.73284375
transcript.pyannote[3212].speaker SPEAKER_26
transcript.pyannote[3212].start 11972.45534375
transcript.pyannote[3212].end 11972.67471875
transcript.pyannote[3213].speaker SPEAKER_15
transcript.pyannote[3213].start 11973.94034375
transcript.pyannote[3213].end 11975.29034375
transcript.pyannote[3214].speaker SPEAKER_25
transcript.pyannote[3214].start 11979.18846875
transcript.pyannote[3214].end 11980.23471875
transcript.pyannote[3215].speaker SPEAKER_15
transcript.pyannote[3215].start 11980.23471875
transcript.pyannote[3215].end 11987.69346875
transcript.pyannote[3216].speaker SPEAKER_25
transcript.pyannote[3216].start 11981.68596875
transcript.pyannote[3216].end 11984.90909375
transcript.pyannote[3217].speaker SPEAKER_25
transcript.pyannote[3217].start 11986.17471875
transcript.pyannote[3217].end 11988.97596875
transcript.pyannote[3218].speaker SPEAKER_15
transcript.pyannote[3218].start 11988.97596875
transcript.pyannote[3218].end 11989.92096875
transcript.pyannote[3219].speaker SPEAKER_15
transcript.pyannote[3219].start 11989.97159375
transcript.pyannote[3219].end 12005.19284375
transcript.pyannote[3220].speaker SPEAKER_15
transcript.pyannote[3220].start 12006.50909375
transcript.pyannote[3220].end 12010.03596875
transcript.pyannote[3221].speaker SPEAKER_25
transcript.pyannote[3221].start 12010.03596875
transcript.pyannote[3221].end 12011.18346875
transcript.pyannote[3222].speaker SPEAKER_25
transcript.pyannote[3222].start 12011.74034375
transcript.pyannote[3222].end 12013.88346875
transcript.pyannote[3223].speaker SPEAKER_25
transcript.pyannote[3223].start 12014.27159375
transcript.pyannote[3223].end 12020.29596875
transcript.pyannote[3224].speaker SPEAKER_25
transcript.pyannote[3224].start 12020.70096875
transcript.pyannote[3224].end 12022.87784375
transcript.pyannote[3225].speaker SPEAKER_25
transcript.pyannote[3225].start 12022.99596875
transcript.pyannote[3225].end 12023.45159375
transcript.pyannote[3226].speaker SPEAKER_25
transcript.pyannote[3226].start 12023.99159375
transcript.pyannote[3226].end 12026.42159375
transcript.pyannote[3227].speaker SPEAKER_25
transcript.pyannote[3227].start 12026.50596875
transcript.pyannote[3227].end 12030.18471875
transcript.pyannote[3228].speaker SPEAKER_25
transcript.pyannote[3228].start 12030.64034375
transcript.pyannote[3228].end 12033.08721875
transcript.pyannote[3229].speaker SPEAKER_15
transcript.pyannote[3229].start 12032.15909375
transcript.pyannote[3229].end 12061.72409375
transcript.pyannote[3230].speaker SPEAKER_25
transcript.pyannote[3230].start 12058.38284375
transcript.pyannote[3230].end 12058.87221875
transcript.pyannote[3231].speaker SPEAKER_04
transcript.pyannote[3231].start 12058.87221875
transcript.pyannote[3231].end 12058.88909375
transcript.pyannote[3232].speaker SPEAKER_25
transcript.pyannote[3232].start 12060.55971875
transcript.pyannote[3232].end 12064.59284375
transcript.pyannote[3233].speaker SPEAKER_25
transcript.pyannote[3233].start 12064.91346875
transcript.pyannote[3233].end 12067.64721875
transcript.pyannote[3234].speaker SPEAKER_25
transcript.pyannote[3234].start 12068.10284375
transcript.pyannote[3234].end 12078.49784375
transcript.pyannote[3235].speaker SPEAKER_25
transcript.pyannote[3235].start 12078.53159375
transcript.pyannote[3235].end 12078.59909375
transcript.pyannote[3236].speaker SPEAKER_25
transcript.pyannote[3236].start 12078.61596875
transcript.pyannote[3236].end 12079.30784375
transcript.pyannote[3237].speaker SPEAKER_25
transcript.pyannote[3237].start 12079.64534375
transcript.pyannote[3237].end 12082.86846875
transcript.pyannote[3238].speaker SPEAKER_25
transcript.pyannote[3238].start 12083.45909375
transcript.pyannote[3238].end 12088.52159375
transcript.pyannote[3239].speaker SPEAKER_25
transcript.pyannote[3239].start 12089.01096875
transcript.pyannote[3239].end 12090.31034375
transcript.pyannote[3240].speaker SPEAKER_25
transcript.pyannote[3240].start 12090.68159375
transcript.pyannote[3240].end 12090.96846875
transcript.pyannote[3241].speaker SPEAKER_15
transcript.pyannote[3241].start 12090.96846875
transcript.pyannote[3241].end 12092.26784375
transcript.pyannote[3242].speaker SPEAKER_15
transcript.pyannote[3242].start 12092.36909375
transcript.pyannote[3242].end 12093.55034375
transcript.pyannote[3243].speaker SPEAKER_15
transcript.pyannote[3243].start 12093.73596875
transcript.pyannote[3243].end 12103.86096875
transcript.pyannote[3244].speaker SPEAKER_25
transcript.pyannote[3244].start 12103.86096875
transcript.pyannote[3244].end 12103.87784375
transcript.pyannote[3245].speaker SPEAKER_15
transcript.pyannote[3245].start 12103.87784375
transcript.pyannote[3245].end 12104.02971875
transcript.pyannote[3246].speaker SPEAKER_25
transcript.pyannote[3246].start 12104.02971875
transcript.pyannote[3246].end 12109.26096875
transcript.pyannote[3247].speaker SPEAKER_15
transcript.pyannote[3247].start 12107.18534375
transcript.pyannote[3247].end 12108.80534375
transcript.pyannote[3248].speaker SPEAKER_25
transcript.pyannote[3248].start 12109.39596875
transcript.pyannote[3248].end 12110.81346875
transcript.pyannote[3249].speaker SPEAKER_25
transcript.pyannote[3249].start 12111.23534375
transcript.pyannote[3249].end 12111.26909375
transcript.pyannote[3250].speaker SPEAKER_15
transcript.pyannote[3250].start 12111.26909375
transcript.pyannote[3250].end 12119.47034375
transcript.pyannote[3251].speaker SPEAKER_15
transcript.pyannote[3251].start 12119.80784375
transcript.pyannote[3251].end 12122.35596875
transcript.pyannote[3252].speaker SPEAKER_25
transcript.pyannote[3252].start 12122.35596875
transcript.pyannote[3252].end 12128.43096875
transcript.pyannote[3253].speaker SPEAKER_25
transcript.pyannote[3253].start 12128.49846875
transcript.pyannote[3253].end 12135.83909375
transcript.pyannote[3254].speaker SPEAKER_15
transcript.pyannote[3254].start 12134.52284375
transcript.pyannote[3254].end 12137.47596875
transcript.pyannote[3255].speaker SPEAKER_25
transcript.pyannote[3255].start 12137.99909375
transcript.pyannote[3255].end 12140.41221875
transcript.pyannote[3256].speaker SPEAKER_25
transcript.pyannote[3256].start 12140.71596875
transcript.pyannote[3256].end 12142.74096875
transcript.pyannote[3257].speaker SPEAKER_15
transcript.pyannote[3257].start 12142.90971875
transcript.pyannote[3257].end 12150.19971875
transcript.pyannote[3258].speaker SPEAKER_25
transcript.pyannote[3258].start 12150.72284375
transcript.pyannote[3258].end 12155.05971875
transcript.pyannote[3259].speaker SPEAKER_15
transcript.pyannote[3259].start 12154.26659375
transcript.pyannote[3259].end 12155.58284375
transcript.pyannote[3260].speaker SPEAKER_25
transcript.pyannote[3260].start 12155.34659375
transcript.pyannote[3260].end 12155.80221875
transcript.pyannote[3261].speaker SPEAKER_15
transcript.pyannote[3261].start 12155.98784375
transcript.pyannote[3261].end 12158.41784375
transcript.pyannote[3262].speaker SPEAKER_15
transcript.pyannote[3262].start 12159.02534375
transcript.pyannote[3262].end 12159.95346875
transcript.pyannote[3263].speaker SPEAKER_15
transcript.pyannote[3263].start 12161.99534375
transcript.pyannote[3263].end 12184.52346875
transcript.pyannote[3264].speaker SPEAKER_15
transcript.pyannote[3264].start 12185.18159375
transcript.pyannote[3264].end 12190.02471875
transcript.pyannote[3265].speaker SPEAKER_25
transcript.pyannote[3265].start 12190.02471875
transcript.pyannote[3265].end 12200.68971875
transcript.pyannote[3266].speaker SPEAKER_15
transcript.pyannote[3266].start 12196.23471875
transcript.pyannote[3266].end 12198.73221875
transcript.pyannote[3267].speaker SPEAKER_25
transcript.pyannote[3267].start 12200.97659375
transcript.pyannote[3267].end 12207.06846875
transcript.pyannote[3268].speaker SPEAKER_15
transcript.pyannote[3268].start 12201.34784375
transcript.pyannote[3268].end 12207.05159375
transcript.pyannote[3269].speaker SPEAKER_15
transcript.pyannote[3269].start 12207.06846875
transcript.pyannote[3269].end 12208.85721875
transcript.pyannote[3270].speaker SPEAKER_25
transcript.pyannote[3270].start 12208.85721875
transcript.pyannote[3270].end 12213.02534375
transcript.pyannote[3271].speaker SPEAKER_25
transcript.pyannote[3271].start 12213.10971875
transcript.pyannote[3271].end 12217.96971875
transcript.pyannote[3272].speaker SPEAKER_15
transcript.pyannote[3272].start 12217.96971875
transcript.pyannote[3272].end 12218.08784375
transcript.pyannote[3273].speaker SPEAKER_25
transcript.pyannote[3273].start 12218.08784375
transcript.pyannote[3273].end 12218.12159375
transcript.pyannote[3274].speaker SPEAKER_25
transcript.pyannote[3274].start 12218.57721875
transcript.pyannote[3274].end 12218.61096875
transcript.pyannote[3275].speaker SPEAKER_15
transcript.pyannote[3275].start 12218.61096875
transcript.pyannote[3275].end 12225.25971875
transcript.pyannote[3276].speaker SPEAKER_15
transcript.pyannote[3276].start 12225.61409375
transcript.pyannote[3276].end 12248.31096875
transcript.pyannote[3277].speaker SPEAKER_15
transcript.pyannote[3277].start 12248.63159375
transcript.pyannote[3277].end 12258.33471875
transcript.pyannote[3278].speaker SPEAKER_25
transcript.pyannote[3278].start 12252.64784375
transcript.pyannote[3278].end 12252.85034375
transcript.pyannote[3279].speaker SPEAKER_26
transcript.pyannote[3279].start 12252.85034375
transcript.pyannote[3279].end 12253.03596875
transcript.pyannote[3280].speaker SPEAKER_25
transcript.pyannote[3280].start 12253.03596875
transcript.pyannote[3280].end 12255.33096875
transcript.pyannote[3281].speaker SPEAKER_25
transcript.pyannote[3281].start 12257.42346875
transcript.pyannote[3281].end 12271.91909375
transcript.pyannote[3282].speaker SPEAKER_15
transcript.pyannote[3282].start 12270.41721875
transcript.pyannote[3282].end 12273.52221875
transcript.pyannote[3283].speaker SPEAKER_25
transcript.pyannote[3283].start 12273.52221875
transcript.pyannote[3283].end 12273.58971875
transcript.pyannote[3284].speaker SPEAKER_15
transcript.pyannote[3284].start 12273.58971875
transcript.pyannote[3284].end 12273.80909375
transcript.pyannote[3285].speaker SPEAKER_25
transcript.pyannote[3285].start 12273.80909375
transcript.pyannote[3285].end 12273.94409375
transcript.pyannote[3286].speaker SPEAKER_15
transcript.pyannote[3286].start 12273.94409375
transcript.pyannote[3286].end 12288.40596875
transcript.pyannote[3287].speaker SPEAKER_25
transcript.pyannote[3287].start 12284.72721875
transcript.pyannote[3287].end 12285.41909375
transcript.pyannote[3288].speaker SPEAKER_25
transcript.pyannote[3288].start 12287.52846875
transcript.pyannote[3288].end 12291.57846875
transcript.pyannote[3289].speaker SPEAKER_15
transcript.pyannote[3289].start 12291.57846875
transcript.pyannote[3289].end 12294.02534375
transcript.pyannote[3290].speaker SPEAKER_15
transcript.pyannote[3290].start 12294.34596875
transcript.pyannote[3290].end 12295.40909375
transcript.pyannote[3291].speaker SPEAKER_15
transcript.pyannote[3291].start 12295.49346875
transcript.pyannote[3291].end 12297.38346875
transcript.pyannote[3292].speaker SPEAKER_15
transcript.pyannote[3292].start 12297.63659375
transcript.pyannote[3292].end 12302.66534375
transcript.pyannote[3293].speaker SPEAKER_15
transcript.pyannote[3293].start 12303.30659375
transcript.pyannote[3293].end 12318.96659375
transcript.pyannote[3294].speaker SPEAKER_15
transcript.pyannote[3294].start 12319.21971875
transcript.pyannote[3294].end 12325.31159375
transcript.pyannote[3295].speaker SPEAKER_15
transcript.pyannote[3295].start 12325.59846875
transcript.pyannote[3295].end 12326.59409375
transcript.pyannote[3296].speaker SPEAKER_20
transcript.pyannote[3296].start 12325.75034375
transcript.pyannote[3296].end 12326.47596875
transcript.pyannote[3297].speaker SPEAKER_15
transcript.pyannote[3297].start 12326.76284375
transcript.pyannote[3297].end 12328.45034375
transcript.pyannote[3298].speaker SPEAKER_15
transcript.pyannote[3298].start 12328.75409375
transcript.pyannote[3298].end 12336.61784375
transcript.pyannote[3299].speaker SPEAKER_25
transcript.pyannote[3299].start 12336.78659375
transcript.pyannote[3299].end 12338.59221875
transcript.pyannote[3300].speaker SPEAKER_25
transcript.pyannote[3300].start 12340.56659375
transcript.pyannote[3300].end 12341.96721875
transcript.pyannote[3301].speaker SPEAKER_27
transcript.pyannote[3301].start 12341.96721875
transcript.pyannote[3301].end 12342.15284375
transcript.pyannote[3302].speaker SPEAKER_27
transcript.pyannote[3302].start 12342.47346875
transcript.pyannote[3302].end 12342.52409375
transcript.pyannote[3303].speaker SPEAKER_27
transcript.pyannote[3303].start 12343.92471875
transcript.pyannote[3303].end 12344.44784375
transcript.pyannote[3304].speaker SPEAKER_27
transcript.pyannote[3304].start 12345.88221875
transcript.pyannote[3304].end 12348.81846875
transcript.pyannote[3305].speaker SPEAKER_19
transcript.pyannote[3305].start 12357.30659375
transcript.pyannote[3305].end 12358.77471875
transcript.pyannote[3306].speaker SPEAKER_19
transcript.pyannote[3306].start 12359.24721875
transcript.pyannote[3306].end 12359.95596875
transcript.pyannote[3307].speaker SPEAKER_19
transcript.pyannote[3307].start 12367.44846875
transcript.pyannote[3307].end 12369.08534375
transcript.pyannote[3308].speaker SPEAKER_19
transcript.pyannote[3308].start 12369.45659375
transcript.pyannote[3308].end 12424.60409375
transcript.pyannote[3309].speaker SPEAKER_00
transcript.pyannote[3309].start 12402.44721875
transcript.pyannote[3309].end 12404.05034375
transcript.pyannote[3310].speaker SPEAKER_20
transcript.pyannote[3310].start 12404.05034375
transcript.pyannote[3310].end 12404.33721875
transcript.pyannote[3311].speaker SPEAKER_00
transcript.pyannote[3311].start 12404.33721875
transcript.pyannote[3311].end 12404.40471875
transcript.pyannote[3312].speaker SPEAKER_19
transcript.pyannote[3312].start 12425.16096875
transcript.pyannote[3312].end 12426.94971875
transcript.pyannote[3313].speaker SPEAKER_25
transcript.pyannote[3313].start 12426.94971875
transcript.pyannote[3313].end 12428.19846875
transcript.pyannote[3314].speaker SPEAKER_19
transcript.pyannote[3314].start 12428.19846875
transcript.pyannote[3314].end 12430.03784375
transcript.pyannote[3315].speaker SPEAKER_25
transcript.pyannote[3315].start 12429.21096875
transcript.pyannote[3315].end 12429.75096875
transcript.pyannote[3316].speaker SPEAKER_25
transcript.pyannote[3316].start 12430.03784375
transcript.pyannote[3316].end 12430.49346875
transcript.pyannote[3317].speaker SPEAKER_19
transcript.pyannote[3317].start 12430.49346875
transcript.pyannote[3317].end 12430.93221875
transcript.pyannote[3318].speaker SPEAKER_25
transcript.pyannote[3318].start 12430.52721875
transcript.pyannote[3318].end 12434.08784375
transcript.pyannote[3319].speaker SPEAKER_25
transcript.pyannote[3319].start 12434.35784375
transcript.pyannote[3319].end 12435.89346875
transcript.pyannote[3320].speaker SPEAKER_19
transcript.pyannote[3320].start 12435.89346875
transcript.pyannote[3320].end 12435.91034375
transcript.pyannote[3321].speaker SPEAKER_25
transcript.pyannote[3321].start 12436.38284375
transcript.pyannote[3321].end 12438.96471875
transcript.pyannote[3322].speaker SPEAKER_19
transcript.pyannote[3322].start 12438.96471875
transcript.pyannote[3322].end 12480.29159375
transcript.pyannote[3323].speaker SPEAKER_17
transcript.pyannote[3323].start 12449.69721875
transcript.pyannote[3323].end 12450.00096875
transcript.pyannote[3324].speaker SPEAKER_17
transcript.pyannote[3324].start 12452.66721875
transcript.pyannote[3324].end 12453.40971875
transcript.pyannote[3325].speaker SPEAKER_00
transcript.pyannote[3325].start 12453.40971875
transcript.pyannote[3325].end 12453.42659375
transcript.pyannote[3326].speaker SPEAKER_00
transcript.pyannote[3326].start 12453.93284375
transcript.pyannote[3326].end 12455.11409375
transcript.pyannote[3327].speaker SPEAKER_25
transcript.pyannote[3327].start 12480.29159375
transcript.pyannote[3327].end 12492.23909375
transcript.pyannote[3328].speaker SPEAKER_19
transcript.pyannote[3328].start 12487.09221875
transcript.pyannote[3328].end 12487.85159375
transcript.pyannote[3329].speaker SPEAKER_19
transcript.pyannote[3329].start 12489.40409375
transcript.pyannote[3329].end 12489.91034375
transcript.pyannote[3330].speaker SPEAKER_19
transcript.pyannote[3330].start 12490.45034375
transcript.pyannote[3330].end 12491.02409375
transcript.pyannote[3331].speaker SPEAKER_25
transcript.pyannote[3331].start 12492.62721875
transcript.pyannote[3331].end 12493.97721875
transcript.pyannote[3332].speaker SPEAKER_19
transcript.pyannote[3332].start 12493.97721875
transcript.pyannote[3332].end 12510.91971875
transcript.pyannote[3333].speaker SPEAKER_25
transcript.pyannote[3333].start 12510.26159375
transcript.pyannote[3333].end 12512.80971875
transcript.pyannote[3334].speaker SPEAKER_19
transcript.pyannote[3334].start 12511.37534375
transcript.pyannote[3334].end 12564.02534375
transcript.pyannote[3335].speaker SPEAKER_25
transcript.pyannote[3335].start 12513.87284375
transcript.pyannote[3335].end 12514.36221875
transcript.pyannote[3336].speaker SPEAKER_25
transcript.pyannote[3336].start 12564.02534375
transcript.pyannote[3336].end 12564.78471875
transcript.pyannote[3337].speaker SPEAKER_25
transcript.pyannote[3337].start 12565.03784375
transcript.pyannote[3337].end 12579.97221875
transcript.pyannote[3338].speaker SPEAKER_19
transcript.pyannote[3338].start 12576.25971875
transcript.pyannote[3338].end 12576.95159375
transcript.pyannote[3339].speaker SPEAKER_19
transcript.pyannote[3339].start 12579.97221875
transcript.pyannote[3339].end 12595.81784375
transcript.pyannote[3340].speaker SPEAKER_25
transcript.pyannote[3340].start 12593.97846875
transcript.pyannote[3340].end 12595.96971875
transcript.pyannote[3341].speaker SPEAKER_19
transcript.pyannote[3341].start 12595.96971875
transcript.pyannote[3341].end 12596.03721875
transcript.pyannote[3342].speaker SPEAKER_25
transcript.pyannote[3342].start 12596.03721875
transcript.pyannote[3342].end 12604.96409375
transcript.pyannote[3343].speaker SPEAKER_19
transcript.pyannote[3343].start 12597.96096875
transcript.pyannote[3343].end 12599.15909375
transcript.pyannote[3344].speaker SPEAKER_19
transcript.pyannote[3344].start 12601.74096875
transcript.pyannote[3344].end 12603.66471875
transcript.pyannote[3345].speaker SPEAKER_19
transcript.pyannote[3345].start 12604.96409375
transcript.pyannote[3345].end 12605.04846875
transcript.pyannote[3346].speaker SPEAKER_25
transcript.pyannote[3346].start 12605.04846875
transcript.pyannote[3346].end 12607.76534375
transcript.pyannote[3347].speaker SPEAKER_19
transcript.pyannote[3347].start 12605.08221875
transcript.pyannote[3347].end 12611.29221875
transcript.pyannote[3348].speaker SPEAKER_19
transcript.pyannote[3348].start 12611.66346875
transcript.pyannote[3348].end 12618.97034375
transcript.pyannote[3349].speaker SPEAKER_25
transcript.pyannote[3349].start 12618.97034375
transcript.pyannote[3349].end 12618.98721875
transcript.pyannote[3350].speaker SPEAKER_25
transcript.pyannote[3350].start 12619.22346875
transcript.pyannote[3350].end 12626.17596875
transcript.pyannote[3351].speaker SPEAKER_19
transcript.pyannote[3351].start 12620.20221875
transcript.pyannote[3351].end 12620.28659375
transcript.pyannote[3352].speaker SPEAKER_19
transcript.pyannote[3352].start 12621.14721875
transcript.pyannote[3352].end 12621.38346875
transcript.pyannote[3353].speaker SPEAKER_19
transcript.pyannote[3353].start 12625.36596875
transcript.pyannote[3353].end 12625.38284375
transcript.pyannote[3354].speaker SPEAKER_20
transcript.pyannote[3354].start 12625.38284375
transcript.pyannote[3354].end 12626.32784375
transcript.pyannote[3355].speaker SPEAKER_25
transcript.pyannote[3355].start 12626.26034375
transcript.pyannote[3355].end 12628.63971875
transcript.pyannote[3356].speaker SPEAKER_19
transcript.pyannote[3356].start 12628.63971875
transcript.pyannote[3356].end 12628.65659375
transcript.pyannote[3357].speaker SPEAKER_25
transcript.pyannote[3357].start 12629.11221875
transcript.pyannote[3357].end 12629.97284375
transcript.pyannote[3358].speaker SPEAKER_19
transcript.pyannote[3358].start 12629.97284375
transcript.pyannote[3358].end 12635.05221875
transcript.pyannote[3359].speaker SPEAKER_19
transcript.pyannote[3359].start 12635.25471875
transcript.pyannote[3359].end 12637.66784375
transcript.pyannote[3360].speaker SPEAKER_19
transcript.pyannote[3360].start 12638.03909375
transcript.pyannote[3360].end 12644.72159375
transcript.pyannote[3361].speaker SPEAKER_19
transcript.pyannote[3361].start 12645.31221875
transcript.pyannote[3361].end 12646.03784375
transcript.pyannote[3362].speaker SPEAKER_25
transcript.pyannote[3362].start 12646.03784375
transcript.pyannote[3362].end 12649.81784375
transcript.pyannote[3363].speaker SPEAKER_19
transcript.pyannote[3363].start 12648.13034375
transcript.pyannote[3363].end 12650.88096875
transcript.pyannote[3364].speaker SPEAKER_25
transcript.pyannote[3364].start 12650.88096875
transcript.pyannote[3364].end 12650.89784375
transcript.pyannote[3365].speaker SPEAKER_19
transcript.pyannote[3365].start 12650.89784375
transcript.pyannote[3365].end 12650.93159375
transcript.pyannote[3366].speaker SPEAKER_25
transcript.pyannote[3366].start 12650.93159375
transcript.pyannote[3366].end 12650.94846875
transcript.pyannote[3367].speaker SPEAKER_25
transcript.pyannote[3367].start 12651.48846875
transcript.pyannote[3367].end 12651.52221875
transcript.pyannote[3368].speaker SPEAKER_19
transcript.pyannote[3368].start 12651.52221875
transcript.pyannote[3368].end 12664.27971875
transcript.pyannote[3369].speaker SPEAKER_25
transcript.pyannote[3369].start 12655.36971875
transcript.pyannote[3369].end 12655.97721875
transcript.pyannote[3370].speaker SPEAKER_27
transcript.pyannote[3370].start 12655.97721875
transcript.pyannote[3370].end 12657.25971875
transcript.pyannote[3371].speaker SPEAKER_25
transcript.pyannote[3371].start 12664.27971875
transcript.pyannote[3371].end 12667.94159375
transcript.pyannote[3372].speaker SPEAKER_19
transcript.pyannote[3372].start 12664.39784375
transcript.pyannote[3372].end 12664.95471875
transcript.pyannote[3373].speaker SPEAKER_25
transcript.pyannote[3373].start 12669.20721875
transcript.pyannote[3373].end 12673.29096875
transcript.pyannote[3374].speaker SPEAKER_25
transcript.pyannote[3374].start 12673.69596875
transcript.pyannote[3374].end 12675.97409375
transcript.pyannote[3375].speaker SPEAKER_19
transcript.pyannote[3375].start 12675.97409375
transcript.pyannote[3375].end 12677.39159375
transcript.pyannote[3376].speaker SPEAKER_25
transcript.pyannote[3376].start 12677.39159375
transcript.pyannote[3376].end 12684.90096875
transcript.pyannote[3377].speaker SPEAKER_19
transcript.pyannote[3377].start 12677.45909375
transcript.pyannote[3377].end 12678.06659375
transcript.pyannote[3378].speaker SPEAKER_19
transcript.pyannote[3378].start 12682.99409375
transcript.pyannote[3378].end 12686.67284375
transcript.pyannote[3379].speaker SPEAKER_25
transcript.pyannote[3379].start 12686.26784375
transcript.pyannote[3379].end 12687.73596875
transcript.pyannote[3380].speaker SPEAKER_19
transcript.pyannote[3380].start 12686.90909375
transcript.pyannote[3380].end 12689.94659375
transcript.pyannote[3381].speaker SPEAKER_19
transcript.pyannote[3381].start 12690.31784375
transcript.pyannote[3381].end 12692.03909375
transcript.pyannote[3382].speaker SPEAKER_25
transcript.pyannote[3382].start 12692.03909375
transcript.pyannote[3382].end 12693.47346875
transcript.pyannote[3383].speaker SPEAKER_19
transcript.pyannote[3383].start 12693.47346875
transcript.pyannote[3383].end 12695.80221875
transcript.pyannote[3384].speaker SPEAKER_25
transcript.pyannote[3384].start 12695.80221875
transcript.pyannote[3384].end 12699.59909375
transcript.pyannote[3385].speaker SPEAKER_19
transcript.pyannote[3385].start 12696.57846875
transcript.pyannote[3385].end 12699.44721875
transcript.pyannote[3386].speaker SPEAKER_19
transcript.pyannote[3386].start 12699.80159375
transcript.pyannote[3386].end 12709.69034375
transcript.pyannote[3387].speaker SPEAKER_19
transcript.pyannote[3387].start 12710.06159375
transcript.pyannote[3387].end 12711.74909375
transcript.pyannote[3388].speaker SPEAKER_25
transcript.pyannote[3388].start 12710.98971875
transcript.pyannote[3388].end 12712.15409375
transcript.pyannote[3389].speaker SPEAKER_19
transcript.pyannote[3389].start 12711.76596875
transcript.pyannote[3389].end 12716.40659375
transcript.pyannote[3390].speaker SPEAKER_20
transcript.pyannote[3390].start 12713.25096875
transcript.pyannote[3390].end 12713.26784375
transcript.pyannote[3391].speaker SPEAKER_25
transcript.pyannote[3391].start 12713.26784375
transcript.pyannote[3391].end 12713.43659375
transcript.pyannote[3392].speaker SPEAKER_20
transcript.pyannote[3392].start 12713.43659375
transcript.pyannote[3392].end 12713.45346875
transcript.pyannote[3393].speaker SPEAKER_25
transcript.pyannote[3393].start 12713.45346875
transcript.pyannote[3393].end 12713.53784375
transcript.pyannote[3394].speaker SPEAKER_19
transcript.pyannote[3394].start 12716.77784375
transcript.pyannote[3394].end 12720.64221875
transcript.pyannote[3395].speaker SPEAKER_19
transcript.pyannote[3395].start 12721.01346875
transcript.pyannote[3395].end 12754.88159375
transcript.pyannote[3396].speaker SPEAKER_19
transcript.pyannote[3396].start 12755.57346875
transcript.pyannote[3396].end 12779.33346875
transcript.pyannote[3397].speaker SPEAKER_19
transcript.pyannote[3397].start 12779.72159375
transcript.pyannote[3397].end 12780.43034375
transcript.pyannote[3398].speaker SPEAKER_19
transcript.pyannote[3398].start 12780.58221875
transcript.pyannote[3398].end 12801.84471875
transcript.pyannote[3399].speaker SPEAKER_00
transcript.pyannote[3399].start 12783.11346875
transcript.pyannote[3399].end 12783.36659375
transcript.pyannote[3400].speaker SPEAKER_00
transcript.pyannote[3400].start 12795.21284375
transcript.pyannote[3400].end 12795.22971875
transcript.pyannote[3401].speaker SPEAKER_21
transcript.pyannote[3401].start 12795.22971875
transcript.pyannote[3401].end 12795.56721875
transcript.pyannote[3402].speaker SPEAKER_00
transcript.pyannote[3402].start 12795.56721875
transcript.pyannote[3402].end 12795.58409375
transcript.pyannote[3403].speaker SPEAKER_21
transcript.pyannote[3403].start 12795.58409375
transcript.pyannote[3403].end 12795.65159375
transcript.pyannote[3404].speaker SPEAKER_21
transcript.pyannote[3404].start 12795.73596875
transcript.pyannote[3404].end 12795.82034375
transcript.pyannote[3405].speaker SPEAKER_21
transcript.pyannote[3405].start 12801.32159375
transcript.pyannote[3405].end 12804.13971875
transcript.pyannote[3406].speaker SPEAKER_21
transcript.pyannote[3406].start 12804.39284375
transcript.pyannote[3406].end 12810.06284375
transcript.pyannote[3407].speaker SPEAKER_21
transcript.pyannote[3407].start 12810.16409375
transcript.pyannote[3407].end 12820.87971875
transcript.pyannote[3408].speaker SPEAKER_00
transcript.pyannote[3408].start 12818.09534375
transcript.pyannote[3408].end 12818.55096875
transcript.pyannote[3409].speaker SPEAKER_21
transcript.pyannote[3409].start 12821.11596875
transcript.pyannote[3409].end 12821.43659375
transcript.pyannote[3410].speaker SPEAKER_21
transcript.pyannote[3410].start 12821.79096875
transcript.pyannote[3410].end 12824.86221875
transcript.pyannote[3411].speaker SPEAKER_21
transcript.pyannote[3411].start 12825.09846875
transcript.pyannote[3411].end 12830.34659375
transcript.pyannote[3412].speaker SPEAKER_20
transcript.pyannote[3412].start 12827.98409375
transcript.pyannote[3412].end 12828.40596875
transcript.pyannote[3413].speaker SPEAKER_21
transcript.pyannote[3413].start 12830.51534375
transcript.pyannote[3413].end 12832.84409375
transcript.pyannote[3414].speaker SPEAKER_21
transcript.pyannote[3414].start 12832.99596875
transcript.pyannote[3414].end 12836.97846875
transcript.pyannote[3415].speaker SPEAKER_16
transcript.pyannote[3415].start 12835.61159375
transcript.pyannote[3415].end 12836.92784375
transcript.pyannote[3416].speaker SPEAKER_16
transcript.pyannote[3416].start 12836.97846875
transcript.pyannote[3416].end 12837.02909375
transcript.pyannote[3417].speaker SPEAKER_21
transcript.pyannote[3417].start 12837.02909375
transcript.pyannote[3417].end 12844.47096875
transcript.pyannote[3418].speaker SPEAKER_16
transcript.pyannote[3418].start 12837.36659375
transcript.pyannote[3418].end 12837.58596875
transcript.pyannote[3419].speaker SPEAKER_16
transcript.pyannote[3419].start 12838.44659375
transcript.pyannote[3419].end 12838.61534375
transcript.pyannote[3420].speaker SPEAKER_21
transcript.pyannote[3420].start 12844.96034375
transcript.pyannote[3420].end 12845.39909375
transcript.pyannote[3421].speaker SPEAKER_21
transcript.pyannote[3421].start 12846.09096875
transcript.pyannote[3421].end 12848.14971875
transcript.pyannote[3422].speaker SPEAKER_21
transcript.pyannote[3422].start 12848.47034375
transcript.pyannote[3422].end 12850.30971875
transcript.pyannote[3423].speaker SPEAKER_21
transcript.pyannote[3423].start 12851.00159375
transcript.pyannote[3423].end 12855.91221875
transcript.pyannote[3424].speaker SPEAKER_21
transcript.pyannote[3424].start 12856.11471875
transcript.pyannote[3424].end 12862.74659375
transcript.pyannote[3425].speaker SPEAKER_21
transcript.pyannote[3425].start 12862.96596875
transcript.pyannote[3425].end 12886.81034375
transcript.pyannote[3426].speaker SPEAKER_00
transcript.pyannote[3426].start 12878.55846875
transcript.pyannote[3426].end 12878.57534375
transcript.pyannote[3427].speaker SPEAKER_19
transcript.pyannote[3427].start 12878.57534375
transcript.pyannote[3427].end 12879.16596875
transcript.pyannote[3428].speaker SPEAKER_00
transcript.pyannote[3428].start 12879.16596875
transcript.pyannote[3428].end 12879.28409375
transcript.pyannote[3429].speaker SPEAKER_19
transcript.pyannote[3429].start 12883.85721875
transcript.pyannote[3429].end 12884.97096875
transcript.pyannote[3430].speaker SPEAKER_19
transcript.pyannote[3430].start 12885.74721875
transcript.pyannote[3430].end 12886.11846875
transcript.pyannote[3431].speaker SPEAKER_19
transcript.pyannote[3431].start 12886.82721875
transcript.pyannote[3431].end 12899.66909375
transcript.pyannote[3432].speaker SPEAKER_21
transcript.pyannote[3432].start 12897.72846875
transcript.pyannote[3432].end 12900.02346875
transcript.pyannote[3433].speaker SPEAKER_21
transcript.pyannote[3433].start 12900.73221875
transcript.pyannote[3433].end 12905.38971875
transcript.pyannote[3434].speaker SPEAKER_19
transcript.pyannote[3434].start 12904.19159375
transcript.pyannote[3434].end 12904.83284375
transcript.pyannote[3435].speaker SPEAKER_19
transcript.pyannote[3435].start 12904.90034375
transcript.pyannote[3435].end 12907.33034375
transcript.pyannote[3436].speaker SPEAKER_21
transcript.pyannote[3436].start 12906.09846875
transcript.pyannote[3436].end 12927.98534375
transcript.pyannote[3437].speaker SPEAKER_21
transcript.pyannote[3437].start 12928.08659375
transcript.pyannote[3437].end 12934.06034375
transcript.pyannote[3438].speaker SPEAKER_19
transcript.pyannote[3438].start 12934.19534375
transcript.pyannote[3438].end 12965.54909375
transcript.pyannote[3439].speaker SPEAKER_19
transcript.pyannote[3439].start 12966.15659375
transcript.pyannote[3439].end 12974.12159375
transcript.pyannote[3440].speaker SPEAKER_19
transcript.pyannote[3440].start 12974.77971875
transcript.pyannote[3440].end 12997.89846875
transcript.pyannote[3441].speaker SPEAKER_26
transcript.pyannote[3441].start 12988.26284375
transcript.pyannote[3441].end 12988.33034375
transcript.pyannote[3442].speaker SPEAKER_21
transcript.pyannote[3442].start 12995.67096875
transcript.pyannote[3442].end 13002.37034375
transcript.pyannote[3443].speaker SPEAKER_19
transcript.pyannote[3443].start 12999.16409375
transcript.pyannote[3443].end 12999.65346875
transcript.pyannote[3444].speaker SPEAKER_19
transcript.pyannote[3444].start 12999.85596875
transcript.pyannote[3444].end 13007.80409375
transcript.pyannote[3445].speaker SPEAKER_27
transcript.pyannote[3445].start 13008.88409375
transcript.pyannote[3445].end 13011.38159375
transcript.pyannote[3446].speaker SPEAKER_27
transcript.pyannote[3446].start 13013.28846875
transcript.pyannote[3446].end 13016.20784375
transcript.pyannote[3447].speaker SPEAKER_10
transcript.pyannote[3447].start 13023.29534375
transcript.pyannote[3447].end 13026.70409375
transcript.pyannote[3448].speaker SPEAKER_27
transcript.pyannote[3448].start 13026.85596875
transcript.pyannote[3448].end 13027.85159375
transcript.pyannote[3449].speaker SPEAKER_10
transcript.pyannote[3449].start 13028.12159375
transcript.pyannote[3449].end 13028.15534375
transcript.pyannote[3450].speaker SPEAKER_10
transcript.pyannote[3450].start 13028.18909375
transcript.pyannote[3450].end 13028.27346875
transcript.pyannote[3451].speaker SPEAKER_10
transcript.pyannote[3451].start 13031.63159375
transcript.pyannote[3451].end 13033.21784375
transcript.pyannote[3452].speaker SPEAKER_10
transcript.pyannote[3452].start 13034.98971875
transcript.pyannote[3452].end 13035.00659375
transcript.pyannote[3453].speaker SPEAKER_27
transcript.pyannote[3453].start 13035.00659375
transcript.pyannote[3453].end 13035.22596875
transcript.pyannote[3454].speaker SPEAKER_10
transcript.pyannote[3454].start 13035.22596875
transcript.pyannote[3454].end 13035.24284375
transcript.pyannote[3455].speaker SPEAKER_27
transcript.pyannote[3455].start 13035.24284375
transcript.pyannote[3455].end 13035.25971875
transcript.pyannote[3456].speaker SPEAKER_10
transcript.pyannote[3456].start 13035.25971875
transcript.pyannote[3456].end 13035.42846875
transcript.pyannote[3457].speaker SPEAKER_27
transcript.pyannote[3457].start 13035.42846875
transcript.pyannote[3457].end 13036.35659375
transcript.pyannote[3458].speaker SPEAKER_10
transcript.pyannote[3458].start 13037.38596875
transcript.pyannote[3458].end 13038.63471875
transcript.pyannote[3459].speaker SPEAKER_10
transcript.pyannote[3459].start 13039.12409375
transcript.pyannote[3459].end 13042.41471875
transcript.pyannote[3460].speaker SPEAKER_10
transcript.pyannote[3460].start 13042.80284375
transcript.pyannote[3460].end 13045.63784375
transcript.pyannote[3461].speaker SPEAKER_10
transcript.pyannote[3461].start 13045.99221875
transcript.pyannote[3461].end 13047.67971875
transcript.pyannote[3462].speaker SPEAKER_10
transcript.pyannote[3462].start 13048.01721875
transcript.pyannote[3462].end 13052.13471875
transcript.pyannote[3463].speaker SPEAKER_10
transcript.pyannote[3463].start 13052.15159375
transcript.pyannote[3463].end 13075.70909375
transcript.pyannote[3464].speaker SPEAKER_10
transcript.pyannote[3464].start 13075.87784375
transcript.pyannote[3464].end 13082.34096875
transcript.pyannote[3465].speaker SPEAKER_10
transcript.pyannote[3465].start 13082.47596875
transcript.pyannote[3465].end 13086.15471875
transcript.pyannote[3466].speaker SPEAKER_10
transcript.pyannote[3466].start 13086.74534375
transcript.pyannote[3466].end 13089.37784375
transcript.pyannote[3467].speaker SPEAKER_10
transcript.pyannote[3467].start 13089.56346875
transcript.pyannote[3467].end 13108.75034375
transcript.pyannote[3468].speaker SPEAKER_25
transcript.pyannote[3468].start 13109.76284375
transcript.pyannote[3468].end 13111.55159375
transcript.pyannote[3469].speaker SPEAKER_25
transcript.pyannote[3469].start 13111.85534375
transcript.pyannote[3469].end 13112.37846875
transcript.pyannote[3470].speaker SPEAKER_25
transcript.pyannote[3470].start 13112.85096875
transcript.pyannote[3470].end 13114.26846875
transcript.pyannote[3471].speaker SPEAKER_10
transcript.pyannote[3471].start 13114.70721875
transcript.pyannote[3471].end 13119.17909375
transcript.pyannote[3472].speaker SPEAKER_25
transcript.pyannote[3472].start 13119.17909375
transcript.pyannote[3472].end 13119.44909375
transcript.pyannote[3473].speaker SPEAKER_10
transcript.pyannote[3473].start 13119.44909375
transcript.pyannote[3473].end 13119.83721875
transcript.pyannote[3474].speaker SPEAKER_25
transcript.pyannote[3474].start 13119.46596875
transcript.pyannote[3474].end 13119.65159375
transcript.pyannote[3475].speaker SPEAKER_10
transcript.pyannote[3475].start 13119.88784375
transcript.pyannote[3475].end 13127.61659375
transcript.pyannote[3476].speaker SPEAKER_07
transcript.pyannote[3476].start 13126.58721875
transcript.pyannote[3476].end 13127.07659375
transcript.pyannote[3477].speaker SPEAKER_07
transcript.pyannote[3477].start 13127.61659375
transcript.pyannote[3477].end 13136.13846875
transcript.pyannote[3478].speaker SPEAKER_10
transcript.pyannote[3478].start 13132.29096875
transcript.pyannote[3478].end 13133.38784375
transcript.pyannote[3479].speaker SPEAKER_20
transcript.pyannote[3479].start 13136.13846875
transcript.pyannote[3479].end 13136.25659375
transcript.pyannote[3480].speaker SPEAKER_07
transcript.pyannote[3480].start 13136.25659375
transcript.pyannote[3480].end 13140.10409375
transcript.pyannote[3481].speaker SPEAKER_20
transcript.pyannote[3481].start 13139.17596875
transcript.pyannote[3481].end 13139.54721875
transcript.pyannote[3482].speaker SPEAKER_07
transcript.pyannote[3482].start 13140.66096875
transcript.pyannote[3482].end 13143.63096875
transcript.pyannote[3483].speaker SPEAKER_07
transcript.pyannote[3483].start 13143.95159375
transcript.pyannote[3483].end 13146.19596875
transcript.pyannote[3484].speaker SPEAKER_07
transcript.pyannote[3484].start 13147.03971875
transcript.pyannote[3484].end 13150.14471875
transcript.pyannote[3485].speaker SPEAKER_07
transcript.pyannote[3485].start 13150.68471875
transcript.pyannote[3485].end 13153.68846875
transcript.pyannote[3486].speaker SPEAKER_20
transcript.pyannote[3486].start 13152.96284375
transcript.pyannote[3486].end 13153.03034375
transcript.pyannote[3487].speaker SPEAKER_03
transcript.pyannote[3487].start 13153.03034375
transcript.pyannote[3487].end 13153.31721875
transcript.pyannote[3488].speaker SPEAKER_20
transcript.pyannote[3488].start 13153.31721875
transcript.pyannote[3488].end 13153.36784375
transcript.pyannote[3489].speaker SPEAKER_07
transcript.pyannote[3489].start 13153.82346875
transcript.pyannote[3489].end 13156.70909375
transcript.pyannote[3490].speaker SPEAKER_07
transcript.pyannote[3490].start 13156.99596875
transcript.pyannote[3490].end 13159.22346875
transcript.pyannote[3491].speaker SPEAKER_10
transcript.pyannote[3491].start 13159.22346875
transcript.pyannote[3491].end 13159.24034375
transcript.pyannote[3492].speaker SPEAKER_03
transcript.pyannote[3492].start 13159.71284375
transcript.pyannote[3492].end 13160.03346875
transcript.pyannote[3493].speaker SPEAKER_07
transcript.pyannote[3493].start 13160.03346875
transcript.pyannote[3493].end 13160.43846875
transcript.pyannote[3494].speaker SPEAKER_10
transcript.pyannote[3494].start 13160.43846875
transcript.pyannote[3494].end 13160.47221875
transcript.pyannote[3495].speaker SPEAKER_07
transcript.pyannote[3495].start 13160.89409375
transcript.pyannote[3495].end 13160.91096875
transcript.pyannote[3496].speaker SPEAKER_10
transcript.pyannote[3496].start 13160.91096875
transcript.pyannote[3496].end 13160.92784375
transcript.pyannote[3497].speaker SPEAKER_07
transcript.pyannote[3497].start 13160.92784375
transcript.pyannote[3497].end 13160.97846875
transcript.pyannote[3498].speaker SPEAKER_10
transcript.pyannote[3498].start 13160.97846875
transcript.pyannote[3498].end 13161.29909375
transcript.pyannote[3499].speaker SPEAKER_07
transcript.pyannote[3499].start 13161.29909375
transcript.pyannote[3499].end 13161.33284375
transcript.pyannote[3500].speaker SPEAKER_10
transcript.pyannote[3500].start 13161.33284375
transcript.pyannote[3500].end 13164.18471875
transcript.pyannote[3501].speaker SPEAKER_10
transcript.pyannote[3501].start 13164.64034375
transcript.pyannote[3501].end 13172.48721875
transcript.pyannote[3502].speaker SPEAKER_20
transcript.pyannote[3502].start 13167.94784375
transcript.pyannote[3502].end 13168.03221875
transcript.pyannote[3503].speaker SPEAKER_20
transcript.pyannote[3503].start 13168.16721875
transcript.pyannote[3503].end 13168.28534375
transcript.pyannote[3504].speaker SPEAKER_10
transcript.pyannote[3504].start 13172.94284375
transcript.pyannote[3504].end 13176.31784375
transcript.pyannote[3505].speaker SPEAKER_10
transcript.pyannote[3505].start 13176.40221875
transcript.pyannote[3505].end 13178.41034375
transcript.pyannote[3506].speaker SPEAKER_10
transcript.pyannote[3506].start 13178.46096875
transcript.pyannote[3506].end 13181.98784375
transcript.pyannote[3507].speaker SPEAKER_10
transcript.pyannote[3507].start 13182.19034375
transcript.pyannote[3507].end 13185.43034375
transcript.pyannote[3508].speaker SPEAKER_10
transcript.pyannote[3508].start 13185.54846875
transcript.pyannote[3508].end 13186.44284375
transcript.pyannote[3509].speaker SPEAKER_10
transcript.pyannote[3509].start 13186.54409375
transcript.pyannote[3509].end 13187.38784375
transcript.pyannote[3510].speaker SPEAKER_10
transcript.pyannote[3510].start 13187.57346875
transcript.pyannote[3510].end 13189.66596875
transcript.pyannote[3511].speaker SPEAKER_10
transcript.pyannote[3511].start 13190.12159375
transcript.pyannote[3511].end 13194.42471875
transcript.pyannote[3512].speaker SPEAKER_10
transcript.pyannote[3512].start 13194.71159375
transcript.pyannote[3512].end 13202.67659375
transcript.pyannote[3513].speaker SPEAKER_10
transcript.pyannote[3513].start 13202.87909375
transcript.pyannote[3513].end 13211.60346875
transcript.pyannote[3514].speaker SPEAKER_25
transcript.pyannote[3514].start 13209.10596875
transcript.pyannote[3514].end 13210.70909375
transcript.pyannote[3515].speaker SPEAKER_25
transcript.pyannote[3515].start 13211.19846875
transcript.pyannote[3515].end 13217.96534375
transcript.pyannote[3516].speaker SPEAKER_10
transcript.pyannote[3516].start 13217.96534375
transcript.pyannote[3516].end 13218.18471875
transcript.pyannote[3517].speaker SPEAKER_25
transcript.pyannote[3517].start 13218.18471875
transcript.pyannote[3517].end 13218.43784375
transcript.pyannote[3518].speaker SPEAKER_10
transcript.pyannote[3518].start 13218.43784375
transcript.pyannote[3518].end 13218.58971875
transcript.pyannote[3519].speaker SPEAKER_25
transcript.pyannote[3519].start 13218.58971875
transcript.pyannote[3519].end 13218.97784375
transcript.pyannote[3520].speaker SPEAKER_10
transcript.pyannote[3520].start 13218.97784375
transcript.pyannote[3520].end 13220.14221875
transcript.pyannote[3521].speaker SPEAKER_25
transcript.pyannote[3521].start 13220.64846875
transcript.pyannote[3521].end 13220.68221875
transcript.pyannote[3522].speaker SPEAKER_10
transcript.pyannote[3522].start 13220.68221875
transcript.pyannote[3522].end 13226.18346875
transcript.pyannote[3523].speaker SPEAKER_10
transcript.pyannote[3523].start 13226.92596875
transcript.pyannote[3523].end 13241.86034375
transcript.pyannote[3524].speaker SPEAKER_00
transcript.pyannote[3524].start 13232.89971875
transcript.pyannote[3524].end 13233.22034375
transcript.pyannote[3525].speaker SPEAKER_07
transcript.pyannote[3525].start 13241.91096875
transcript.pyannote[3525].end 13242.65346875
transcript.pyannote[3526].speaker SPEAKER_10
transcript.pyannote[3526].start 13242.11346875
transcript.pyannote[3526].end 13263.40971875
transcript.pyannote[3527].speaker SPEAKER_07
transcript.pyannote[3527].start 13243.75034375
transcript.pyannote[3527].end 13244.18909375
transcript.pyannote[3528].speaker SPEAKER_10
transcript.pyannote[3528].start 13263.84846875
transcript.pyannote[3528].end 13276.03221875
transcript.pyannote[3529].speaker SPEAKER_10
transcript.pyannote[3529].start 13277.16284375
transcript.pyannote[3529].end 13278.63096875
transcript.pyannote[3530].speaker SPEAKER_10
transcript.pyannote[3530].start 13279.05284375
transcript.pyannote[3530].end 13281.29721875
transcript.pyannote[3531].speaker SPEAKER_25
transcript.pyannote[3531].start 13283.84534375
transcript.pyannote[3531].end 13285.88721875
transcript.pyannote[3532].speaker SPEAKER_10
transcript.pyannote[3532].start 13285.88721875
transcript.pyannote[3532].end 13291.32096875
transcript.pyannote[3533].speaker SPEAKER_10
transcript.pyannote[3533].start 13291.77659375
transcript.pyannote[3533].end 13300.02846875
transcript.pyannote[3534].speaker SPEAKER_25
transcript.pyannote[3534].start 13297.19346875
transcript.pyannote[3534].end 13305.12471875
transcript.pyannote[3535].speaker SPEAKER_10
transcript.pyannote[3535].start 13302.71159375
transcript.pyannote[3535].end 13305.59721875
transcript.pyannote[3536].speaker SPEAKER_25
transcript.pyannote[3536].start 13305.59721875
transcript.pyannote[3536].end 13305.96846875
transcript.pyannote[3537].speaker SPEAKER_10
transcript.pyannote[3537].start 13305.96846875
transcript.pyannote[3537].end 13314.13596875
transcript.pyannote[3538].speaker SPEAKER_10
transcript.pyannote[3538].start 13314.50721875
transcript.pyannote[3538].end 13317.76409375
transcript.pyannote[3539].speaker SPEAKER_10
transcript.pyannote[3539].start 13318.08471875
transcript.pyannote[3539].end 13324.69971875
transcript.pyannote[3540].speaker SPEAKER_10
transcript.pyannote[3540].start 13324.93596875
transcript.pyannote[3540].end 13340.03909375
transcript.pyannote[3541].speaker SPEAKER_10
transcript.pyannote[3541].start 13340.07284375
transcript.pyannote[3541].end 13353.25221875
transcript.pyannote[3542].speaker SPEAKER_10
transcript.pyannote[3542].start 13353.31971875
transcript.pyannote[3542].end 13355.02409375
transcript.pyannote[3543].speaker SPEAKER_07
transcript.pyannote[3543].start 13355.02409375
transcript.pyannote[3543].end 13357.84221875
transcript.pyannote[3544].speaker SPEAKER_07
transcript.pyannote[3544].start 13358.23034375
transcript.pyannote[3544].end 13360.40721875
transcript.pyannote[3545].speaker SPEAKER_07
transcript.pyannote[3545].start 13360.44096875
transcript.pyannote[3545].end 13361.82471875
transcript.pyannote[3546].speaker SPEAKER_07
transcript.pyannote[3546].start 13362.02721875
transcript.pyannote[3546].end 13362.34784375
transcript.pyannote[3547].speaker SPEAKER_07
transcript.pyannote[3547].start 13362.46596875
transcript.pyannote[3547].end 13365.01409375
transcript.pyannote[3548].speaker SPEAKER_07
transcript.pyannote[3548].start 13365.33471875
transcript.pyannote[3548].end 13366.33034375
transcript.pyannote[3549].speaker SPEAKER_07
transcript.pyannote[3549].start 13366.51596875
transcript.pyannote[3549].end 13367.83221875
transcript.pyannote[3550].speaker SPEAKER_07
transcript.pyannote[3550].start 13368.05159375
transcript.pyannote[3550].end 13369.08096875
transcript.pyannote[3551].speaker SPEAKER_07
transcript.pyannote[3551].start 13369.30034375
transcript.pyannote[3551].end 13370.68409375
transcript.pyannote[3552].speaker SPEAKER_07
transcript.pyannote[3552].start 13371.96659375
transcript.pyannote[3552].end 13374.66659375
transcript.pyannote[3553].speaker SPEAKER_07
transcript.pyannote[3553].start 13375.08846875
transcript.pyannote[3553].end 13376.15159375
transcript.pyannote[3554].speaker SPEAKER_10
transcript.pyannote[3554].start 13376.15159375
transcript.pyannote[3554].end 13376.67471875
transcript.pyannote[3555].speaker SPEAKER_07
transcript.pyannote[3555].start 13376.67471875
transcript.pyannote[3555].end 13377.02909375
transcript.pyannote[3556].speaker SPEAKER_10
transcript.pyannote[3556].start 13377.02909375
transcript.pyannote[3556].end 13377.19784375
transcript.pyannote[3557].speaker SPEAKER_07
transcript.pyannote[3557].start 13377.19784375
transcript.pyannote[3557].end 13377.67034375
transcript.pyannote[3558].speaker SPEAKER_10
transcript.pyannote[3558].start 13377.67034375
transcript.pyannote[3558].end 13379.50971875
transcript.pyannote[3559].speaker SPEAKER_10
transcript.pyannote[3559].start 13379.93159375
transcript.pyannote[3559].end 13382.15909375
transcript.pyannote[3560].speaker SPEAKER_10
transcript.pyannote[3560].start 13382.49659375
transcript.pyannote[3560].end 13388.11596875
transcript.pyannote[3561].speaker SPEAKER_10
transcript.pyannote[3561].start 13388.50409375
transcript.pyannote[3561].end 13392.03096875
transcript.pyannote[3562].speaker SPEAKER_07
transcript.pyannote[3562].start 13390.14096875
transcript.pyannote[3562].end 13390.90034375
transcript.pyannote[3563].speaker SPEAKER_07
transcript.pyannote[3563].start 13392.03096875
transcript.pyannote[3563].end 13397.73471875
transcript.pyannote[3564].speaker SPEAKER_07
transcript.pyannote[3564].start 13397.97096875
transcript.pyannote[3564].end 13398.47721875
transcript.pyannote[3565].speaker SPEAKER_07
transcript.pyannote[3565].start 13398.74721875
transcript.pyannote[3565].end 13399.67534375
transcript.pyannote[3566].speaker SPEAKER_07
transcript.pyannote[3566].start 13400.62034375
transcript.pyannote[3566].end 13400.65409375
transcript.pyannote[3567].speaker SPEAKER_07
transcript.pyannote[3567].start 13400.95784375
transcript.pyannote[3567].end 13401.00846875
transcript.pyannote[3568].speaker SPEAKER_10
transcript.pyannote[3568].start 13401.00846875
transcript.pyannote[3568].end 13403.57346875
transcript.pyannote[3569].speaker SPEAKER_07
transcript.pyannote[3569].start 13403.69159375
transcript.pyannote[3569].end 13404.06284375
transcript.pyannote[3570].speaker SPEAKER_10
transcript.pyannote[3570].start 13404.16409375
transcript.pyannote[3570].end 13406.52659375
transcript.pyannote[3571].speaker SPEAKER_10
transcript.pyannote[3571].start 13406.74596875
transcript.pyannote[3571].end 13408.55159375
transcript.pyannote[3572].speaker SPEAKER_07
transcript.pyannote[3572].start 13406.76284375
transcript.pyannote[3572].end 13407.28596875
transcript.pyannote[3573].speaker SPEAKER_10
transcript.pyannote[3573].start 13408.95659375
transcript.pyannote[3573].end 13412.58471875
transcript.pyannote[3574].speaker SPEAKER_10
transcript.pyannote[3574].start 13412.85471875
transcript.pyannote[3574].end 13416.19596875
transcript.pyannote[3575].speaker SPEAKER_10
transcript.pyannote[3575].start 13416.46596875
transcript.pyannote[3575].end 13421.05596875
transcript.pyannote[3576].speaker SPEAKER_10
transcript.pyannote[3576].start 13421.22471875
transcript.pyannote[3576].end 13429.30784375
transcript.pyannote[3577].speaker SPEAKER_10
transcript.pyannote[3577].start 13429.34159375
transcript.pyannote[3577].end 13440.64784375
transcript.pyannote[3578].speaker SPEAKER_10
transcript.pyannote[3578].start 13440.90096875
transcript.pyannote[3578].end 13452.22409375
transcript.pyannote[3579].speaker SPEAKER_25
transcript.pyannote[3579].start 13452.22409375
transcript.pyannote[3579].end 13452.29159375
transcript.pyannote[3580].speaker SPEAKER_10
transcript.pyannote[3580].start 13452.29159375
transcript.pyannote[3580].end 13452.37596875
transcript.pyannote[3581].speaker SPEAKER_25
transcript.pyannote[3581].start 13452.37596875
transcript.pyannote[3581].end 13452.42659375
transcript.pyannote[3582].speaker SPEAKER_10
transcript.pyannote[3582].start 13452.42659375
transcript.pyannote[3582].end 13452.51096875
transcript.pyannote[3583].speaker SPEAKER_25
transcript.pyannote[3583].start 13452.51096875
transcript.pyannote[3583].end 13452.91596875
transcript.pyannote[3584].speaker SPEAKER_10
transcript.pyannote[3584].start 13452.91596875
transcript.pyannote[3584].end 13455.43034375
transcript.pyannote[3585].speaker SPEAKER_25
transcript.pyannote[3585].start 13453.00034375
transcript.pyannote[3585].end 13453.25346875
transcript.pyannote[3586].speaker SPEAKER_25
transcript.pyannote[3586].start 13455.12659375
transcript.pyannote[3586].end 13456.20659375
transcript.pyannote[3587].speaker SPEAKER_10
transcript.pyannote[3587].start 13455.76784375
transcript.pyannote[3587].end 13459.41284375
transcript.pyannote[3588].speaker SPEAKER_10
transcript.pyannote[3588].start 13459.61534375
transcript.pyannote[3588].end 13461.28596875
transcript.pyannote[3589].speaker SPEAKER_10
transcript.pyannote[3589].start 13461.94409375
transcript.pyannote[3589].end 13462.88909375
transcript.pyannote[3590].speaker SPEAKER_10
transcript.pyannote[3590].start 13463.37846875
transcript.pyannote[3590].end 13464.00284375
transcript.pyannote[3591].speaker SPEAKER_10
transcript.pyannote[3591].start 13464.28971875
transcript.pyannote[3591].end 13472.94659375
transcript.pyannote[3592].speaker SPEAKER_10
transcript.pyannote[3592].start 13473.52034375
transcript.pyannote[3592].end 13522.69409375
transcript.pyannote[3593].speaker SPEAKER_25
transcript.pyannote[3593].start 13522.69409375
transcript.pyannote[3593].end 13527.18284375
transcript.pyannote[3594].speaker SPEAKER_25
transcript.pyannote[3594].start 13527.84096875
transcript.pyannote[3594].end 13554.70596875
transcript.pyannote[3595].speaker SPEAKER_10
transcript.pyannote[3595].start 13553.42346875
transcript.pyannote[3595].end 13574.90534375
transcript.pyannote[3596].speaker SPEAKER_25
transcript.pyannote[3596].start 13560.03846875
transcript.pyannote[3596].end 13560.74721875
transcript.pyannote[3597].speaker SPEAKER_11
transcript.pyannote[3597].start 13560.74721875
transcript.pyannote[3597].end 13561.21971875
transcript.pyannote[3598].speaker SPEAKER_25
transcript.pyannote[3598].start 13561.21971875
transcript.pyannote[3598].end 13562.23221875
transcript.pyannote[3599].speaker SPEAKER_25
transcript.pyannote[3599].start 13564.07159375
transcript.pyannote[3599].end 13564.74659375
transcript.pyannote[3600].speaker SPEAKER_25
transcript.pyannote[3600].start 13566.77159375
transcript.pyannote[3600].end 13568.49284375
transcript.pyannote[3601].speaker SPEAKER_25
transcript.pyannote[3601].start 13574.26409375
transcript.pyannote[3601].end 13575.88409375
transcript.pyannote[3602].speaker SPEAKER_10
transcript.pyannote[3602].start 13575.88409375
transcript.pyannote[3602].end 13580.57534375
transcript.pyannote[3603].speaker SPEAKER_25
transcript.pyannote[3603].start 13579.44471875
transcript.pyannote[3603].end 13581.45284375
transcript.pyannote[3604].speaker SPEAKER_25
transcript.pyannote[3604].start 13581.57096875
transcript.pyannote[3604].end 13584.00096875
transcript.pyannote[3605].speaker SPEAKER_10
transcript.pyannote[3605].start 13584.05159375
transcript.pyannote[3605].end 13584.06846875
transcript.pyannote[3606].speaker SPEAKER_27
transcript.pyannote[3606].start 13584.06846875
transcript.pyannote[3606].end 13584.18659375
transcript.pyannote[3607].speaker SPEAKER_10
transcript.pyannote[3607].start 13584.18659375
transcript.pyannote[3607].end 13584.65909375
transcript.pyannote[3608].speaker SPEAKER_27
transcript.pyannote[3608].start 13584.65909375
transcript.pyannote[3608].end 13584.70971875
transcript.pyannote[3609].speaker SPEAKER_27
transcript.pyannote[3609].start 13586.26221875
transcript.pyannote[3609].end 13588.28721875
transcript.pyannote[3610].speaker SPEAKER_27
transcript.pyannote[3610].start 13591.81409375
transcript.pyannote[3610].end 13592.13471875
transcript.pyannote[3611].speaker SPEAKER_27
transcript.pyannote[3611].start 13592.33721875
transcript.pyannote[3611].end 13595.76284375
transcript.pyannote[3612].speaker SPEAKER_27
transcript.pyannote[3612].start 13596.15096875
transcript.pyannote[3612].end 13598.85096875
transcript.pyannote[3613].speaker SPEAKER_27
transcript.pyannote[3613].start 13599.44159375
transcript.pyannote[3613].end 13605.31409375
transcript.pyannote[3614].speaker SPEAKER_27
transcript.pyannote[3614].start 13605.83721875
transcript.pyannote[3614].end 13608.21659375
transcript.pyannote[3615].speaker SPEAKER_27
transcript.pyannote[3615].start 13612.36784375
transcript.pyannote[3615].end 13612.97534375
transcript.pyannote[3616].speaker SPEAKER_08
transcript.pyannote[3616].start 13612.97534375
transcript.pyannote[3616].end 13613.53221875
transcript.pyannote[3617].speaker SPEAKER_08
transcript.pyannote[3617].start 13614.34221875
transcript.pyannote[3617].end 13615.43909375
transcript.pyannote[3618].speaker SPEAKER_08
transcript.pyannote[3618].start 13621.61534375
transcript.pyannote[3618].end 13624.39971875
transcript.pyannote[3619].speaker SPEAKER_08
transcript.pyannote[3619].start 13624.48409375
transcript.pyannote[3619].end 13628.71971875
transcript.pyannote[3620].speaker SPEAKER_08
transcript.pyannote[3620].start 13628.92221875
transcript.pyannote[3620].end 13631.89221875
transcript.pyannote[3621].speaker SPEAKER_08
transcript.pyannote[3621].start 13632.09471875
transcript.pyannote[3621].end 13634.60909375
transcript.pyannote[3622].speaker SPEAKER_08
transcript.pyannote[3622].start 13635.03096875
transcript.pyannote[3622].end 13642.82721875
transcript.pyannote[3623].speaker SPEAKER_08
transcript.pyannote[3623].start 13643.28284375
transcript.pyannote[3623].end 13652.64846875
transcript.pyannote[3624].speaker SPEAKER_08
transcript.pyannote[3624].start 13653.10409375
transcript.pyannote[3624].end 13653.69471875
transcript.pyannote[3625].speaker SPEAKER_08
transcript.pyannote[3625].start 13653.93096875
transcript.pyannote[3625].end 13658.26784375
transcript.pyannote[3626].speaker SPEAKER_25
transcript.pyannote[3626].start 13659.14534375
transcript.pyannote[3626].end 13667.83596875
transcript.pyannote[3627].speaker SPEAKER_25
transcript.pyannote[3627].start 13668.49409375
transcript.pyannote[3627].end 13675.14284375
transcript.pyannote[3628].speaker SPEAKER_25
transcript.pyannote[3628].start 13675.81784375
transcript.pyannote[3628].end 13692.43971875
transcript.pyannote[3629].speaker SPEAKER_25
transcript.pyannote[3629].start 13692.54096875
transcript.pyannote[3629].end 13699.25721875
transcript.pyannote[3630].speaker SPEAKER_08
transcript.pyannote[3630].start 13699.25721875
transcript.pyannote[3630].end 13699.32471875
transcript.pyannote[3631].speaker SPEAKER_25
transcript.pyannote[3631].start 13699.61159375
transcript.pyannote[3631].end 13699.96596875
transcript.pyannote[3632].speaker SPEAKER_08
transcript.pyannote[3632].start 13699.96596875
transcript.pyannote[3632].end 13704.04971875
transcript.pyannote[3633].speaker SPEAKER_08
transcript.pyannote[3633].start 13704.13409375
transcript.pyannote[3633].end 13714.32659375
transcript.pyannote[3634].speaker SPEAKER_20
transcript.pyannote[3634].start 13705.97346875
transcript.pyannote[3634].end 13708.23471875
transcript.pyannote[3635].speaker SPEAKER_25
transcript.pyannote[3635].start 13714.25909375
transcript.pyannote[3635].end 13714.69784375
transcript.pyannote[3636].speaker SPEAKER_08
transcript.pyannote[3636].start 13714.51221875
transcript.pyannote[3636].end 13739.30159375
transcript.pyannote[3637].speaker SPEAKER_00
transcript.pyannote[3637].start 13723.52346875
transcript.pyannote[3637].end 13723.59096875
transcript.pyannote[3638].speaker SPEAKER_25
transcript.pyannote[3638].start 13723.59096875
transcript.pyannote[3638].end 13723.96221875
transcript.pyannote[3639].speaker SPEAKER_00
transcript.pyannote[3639].start 13723.96221875
transcript.pyannote[3639].end 13724.67096875
transcript.pyannote[3640].speaker SPEAKER_00
transcript.pyannote[3640].start 13724.95784375
transcript.pyannote[3640].end 13725.66659375
transcript.pyannote[3641].speaker SPEAKER_00
transcript.pyannote[3641].start 13726.99971875
transcript.pyannote[3641].end 13727.89409375
transcript.pyannote[3642].speaker SPEAKER_25
transcript.pyannote[3642].start 13738.00221875
transcript.pyannote[3642].end 13739.01471875
transcript.pyannote[3643].speaker SPEAKER_25
transcript.pyannote[3643].start 13739.30159375
transcript.pyannote[3643].end 13754.82659375
transcript.pyannote[3644].speaker SPEAKER_08
transcript.pyannote[3644].start 13741.79909375
transcript.pyannote[3644].end 13742.06909375
transcript.pyannote[3645].speaker SPEAKER_08
transcript.pyannote[3645].start 13754.82659375
transcript.pyannote[3645].end 13757.27346875
transcript.pyannote[3646].speaker SPEAKER_08
transcript.pyannote[3646].start 13757.77971875
transcript.pyannote[3646].end 13764.36096875
transcript.pyannote[3647].speaker SPEAKER_08
transcript.pyannote[3647].start 13765.03596875
transcript.pyannote[3647].end 13784.99909375
transcript.pyannote[3648].speaker SPEAKER_25
transcript.pyannote[3648].start 13773.00096875
transcript.pyannote[3648].end 13773.42284375
transcript.pyannote[3649].speaker SPEAKER_25
transcript.pyannote[3649].start 13774.03034375
transcript.pyannote[3649].end 13774.40159375
transcript.pyannote[3650].speaker SPEAKER_20
transcript.pyannote[3650].start 13778.11409375
transcript.pyannote[3650].end 13778.14784375
transcript.pyannote[3651].speaker SPEAKER_25
transcript.pyannote[3651].start 13778.14784375
transcript.pyannote[3651].end 13778.31659375
transcript.pyannote[3652].speaker SPEAKER_08
transcript.pyannote[3652].start 13785.31971875
transcript.pyannote[3652].end 13799.57909375
transcript.pyannote[3653].speaker SPEAKER_08
transcript.pyannote[3653].start 13799.89971875
transcript.pyannote[3653].end 13801.97534375
transcript.pyannote[3654].speaker SPEAKER_08
transcript.pyannote[3654].start 13802.29596875
transcript.pyannote[3654].end 13805.94096875
transcript.pyannote[3655].speaker SPEAKER_08
transcript.pyannote[3655].start 13806.19409375
transcript.pyannote[3655].end 13806.64971875
transcript.pyannote[3656].speaker SPEAKER_08
transcript.pyannote[3656].start 13807.52721875
transcript.pyannote[3656].end 13809.45096875
transcript.pyannote[3657].speaker SPEAKER_08
transcript.pyannote[3657].start 13809.60284375
transcript.pyannote[3657].end 13811.89784375
transcript.pyannote[3658].speaker SPEAKER_08
transcript.pyannote[3658].start 13812.33659375
transcript.pyannote[3658].end 13832.02971875
transcript.pyannote[3659].speaker SPEAKER_08
transcript.pyannote[3659].start 13832.65409375
transcript.pyannote[3659].end 13862.10096875
transcript.pyannote[3660].speaker SPEAKER_08
transcript.pyannote[3660].start 13862.57346875
transcript.pyannote[3660].end 13870.26846875
transcript.pyannote[3661].speaker SPEAKER_08
transcript.pyannote[3661].start 13870.94346875
transcript.pyannote[3661].end 13875.97221875
transcript.pyannote[3662].speaker SPEAKER_08
transcript.pyannote[3662].start 13876.61346875
transcript.pyannote[3662].end 13889.52284375
transcript.pyannote[3663].speaker SPEAKER_08
transcript.pyannote[3663].start 13889.72534375
transcript.pyannote[3663].end 13893.10034375
transcript.pyannote[3664].speaker SPEAKER_08
transcript.pyannote[3664].start 13893.42096875
transcript.pyannote[3664].end 13899.52971875
transcript.pyannote[3665].speaker SPEAKER_08
transcript.pyannote[3665].start 13899.79971875
transcript.pyannote[3665].end 13905.73971875
transcript.pyannote[3666].speaker SPEAKER_08
transcript.pyannote[3666].start 13906.34721875
transcript.pyannote[3666].end 13907.32596875
transcript.pyannote[3667].speaker SPEAKER_08
transcript.pyannote[3667].start 13908.00096875
transcript.pyannote[3667].end 13908.32159375
transcript.pyannote[3668].speaker SPEAKER_08
transcript.pyannote[3668].start 13908.82784375
transcript.pyannote[3668].end 13910.43096875
transcript.pyannote[3669].speaker SPEAKER_08
transcript.pyannote[3669].start 13910.65034375
transcript.pyannote[3669].end 13911.44346875
transcript.pyannote[3670].speaker SPEAKER_08
transcript.pyannote[3670].start 13911.98346875
transcript.pyannote[3670].end 13913.48534375
transcript.pyannote[3671].speaker SPEAKER_08
transcript.pyannote[3671].start 13913.63721875
transcript.pyannote[3671].end 13914.22784375
transcript.pyannote[3672].speaker SPEAKER_08
transcript.pyannote[3672].start 13915.02096875
transcript.pyannote[3672].end 13920.99471875
transcript.pyannote[3673].speaker SPEAKER_25
transcript.pyannote[3673].start 13921.63596875
transcript.pyannote[3673].end 13935.72659375
transcript.pyannote[3674].speaker SPEAKER_25
transcript.pyannote[3674].start 13936.01346875
transcript.pyannote[3674].end 13942.66221875
transcript.pyannote[3675].speaker SPEAKER_25
transcript.pyannote[3675].start 13943.05034375
transcript.pyannote[3675].end 13948.46721875
transcript.pyannote[3676].speaker SPEAKER_25
transcript.pyannote[3676].start 13948.92284375
transcript.pyannote[3676].end 13950.37409375
transcript.pyannote[3677].speaker SPEAKER_25
transcript.pyannote[3677].start 13950.47534375
transcript.pyannote[3677].end 13953.96846875
transcript.pyannote[3678].speaker SPEAKER_08
transcript.pyannote[3678].start 13953.96846875
transcript.pyannote[3678].end 13957.39409375
transcript.pyannote[3679].speaker SPEAKER_08
transcript.pyannote[3679].start 13958.01846875
transcript.pyannote[3679].end 13967.72159375
transcript.pyannote[3680].speaker SPEAKER_08
transcript.pyannote[3680].start 13968.58221875
transcript.pyannote[3680].end 13969.13909375
transcript.pyannote[3681].speaker SPEAKER_25
transcript.pyannote[3681].start 13969.27409375
transcript.pyannote[3681].end 13969.62846875
transcript.pyannote[3682].speaker SPEAKER_08
transcript.pyannote[3682].start 13969.62846875
transcript.pyannote[3682].end 13972.34534375
transcript.pyannote[3683].speaker SPEAKER_08
transcript.pyannote[3683].start 13972.68284375
transcript.pyannote[3683].end 13974.67409375
transcript.pyannote[3684].speaker SPEAKER_08
transcript.pyannote[3684].start 13975.18034375
transcript.pyannote[3684].end 13975.95659375
transcript.pyannote[3685].speaker SPEAKER_08
transcript.pyannote[3685].start 13976.34471875
transcript.pyannote[3685].end 13977.93096875
transcript.pyannote[3686].speaker SPEAKER_08
transcript.pyannote[3686].start 13978.38659375
transcript.pyannote[3686].end 13985.44034375
transcript.pyannote[3687].speaker SPEAKER_25
transcript.pyannote[3687].start 13985.74409375
transcript.pyannote[3687].end 13987.58346875
transcript.pyannote[3688].speaker SPEAKER_08
transcript.pyannote[3688].start 13986.03096875
transcript.pyannote[3688].end 13991.46471875
transcript.pyannote[3689].speaker SPEAKER_25
transcript.pyannote[3689].start 13991.02596875
transcript.pyannote[3689].end 13991.22846875
transcript.pyannote[3690].speaker SPEAKER_08
transcript.pyannote[3690].start 13991.83596875
transcript.pyannote[3690].end 14005.50471875
transcript.pyannote[3691].speaker SPEAKER_25
transcript.pyannote[3691].start 13998.06284375
transcript.pyannote[3691].end 13998.55221875
transcript.pyannote[3692].speaker SPEAKER_25
transcript.pyannote[3692].start 13998.94034375
transcript.pyannote[3692].end 13999.42971875
transcript.pyannote[3693].speaker SPEAKER_25
transcript.pyannote[3693].start 14001.62346875
transcript.pyannote[3693].end 14002.46721875
transcript.pyannote[3694].speaker SPEAKER_25
transcript.pyannote[3694].start 14002.88909375
transcript.pyannote[3694].end 14002.93971875
transcript.pyannote[3695].speaker SPEAKER_25
transcript.pyannote[3695].start 14005.50471875
transcript.pyannote[3695].end 14005.67346875
transcript.pyannote[3696].speaker SPEAKER_08
transcript.pyannote[3696].start 14006.48346875
transcript.pyannote[3696].end 14007.22596875
transcript.pyannote[3697].speaker SPEAKER_25
transcript.pyannote[3697].start 14007.22596875
transcript.pyannote[3697].end 14007.25971875
transcript.pyannote[3698].speaker SPEAKER_25
transcript.pyannote[3698].start 14007.69846875
transcript.pyannote[3698].end 14011.76534375
transcript.pyannote[3699].speaker SPEAKER_08
transcript.pyannote[3699].start 14007.83346875
transcript.pyannote[3699].end 14008.84596875
transcript.pyannote[3700].speaker SPEAKER_08
transcript.pyannote[3700].start 14010.26346875
transcript.pyannote[3700].end 14010.87096875
transcript.pyannote[3701].speaker SPEAKER_25
transcript.pyannote[3701].start 14011.90034375
transcript.pyannote[3701].end 14012.96346875
transcript.pyannote[3702].speaker SPEAKER_08
transcript.pyannote[3702].start 14012.96346875
transcript.pyannote[3702].end 14013.03096875
transcript.pyannote[3703].speaker SPEAKER_25
transcript.pyannote[3703].start 14013.03096875
transcript.pyannote[3703].end 14013.13221875
transcript.pyannote[3704].speaker SPEAKER_08
transcript.pyannote[3704].start 14013.13221875
transcript.pyannote[3704].end 14013.18284375
transcript.pyannote[3705].speaker SPEAKER_25
transcript.pyannote[3705].start 14013.18284375
transcript.pyannote[3705].end 14013.33471875
transcript.pyannote[3706].speaker SPEAKER_25
transcript.pyannote[3706].start 14013.40221875
transcript.pyannote[3706].end 14020.96221875
transcript.pyannote[3707].speaker SPEAKER_08
transcript.pyannote[3707].start 14013.72284375
transcript.pyannote[3707].end 14014.17846875
transcript.pyannote[3708].speaker SPEAKER_08
transcript.pyannote[3708].start 14016.64221875
transcript.pyannote[3708].end 14016.81096875
transcript.pyannote[3709].speaker SPEAKER_08
transcript.pyannote[3709].start 14017.80659375
transcript.pyannote[3709].end 14018.90346875
transcript.pyannote[3710].speaker SPEAKER_08
transcript.pyannote[3710].start 14020.96221875
transcript.pyannote[3710].end 14028.10034375
transcript.pyannote[3711].speaker SPEAKER_25
transcript.pyannote[3711].start 14022.78471875
transcript.pyannote[3711].end 14024.69159375
transcript.pyannote[3712].speaker SPEAKER_08
transcript.pyannote[3712].start 14028.50534375
transcript.pyannote[3712].end 14034.25971875
transcript.pyannote[3713].speaker SPEAKER_00
transcript.pyannote[3713].start 14032.92659375
transcript.pyannote[3713].end 14032.94346875
transcript.pyannote[3714].speaker SPEAKER_27
transcript.pyannote[3714].start 14032.94346875
transcript.pyannote[3714].end 14032.96034375
transcript.pyannote[3715].speaker SPEAKER_25
transcript.pyannote[3715].start 14032.96034375
transcript.pyannote[3715].end 14034.00659375
transcript.pyannote[3716].speaker SPEAKER_08
transcript.pyannote[3716].start 14034.54659375
transcript.pyannote[3716].end 14037.97221875
transcript.pyannote[3717].speaker SPEAKER_25
transcript.pyannote[3717].start 14035.18784375
transcript.pyannote[3717].end 14036.03159375
transcript.pyannote[3718].speaker SPEAKER_27
transcript.pyannote[3718].start 14036.03159375
transcript.pyannote[3718].end 14036.28471875
transcript.pyannote[3719].speaker SPEAKER_25
transcript.pyannote[3719].start 14036.28471875
transcript.pyannote[3719].end 14036.31846875
transcript.pyannote[3720].speaker SPEAKER_27
transcript.pyannote[3720].start 14036.31846875
transcript.pyannote[3720].end 14036.55471875
transcript.pyannote[3721].speaker SPEAKER_25
transcript.pyannote[3721].start 14036.55471875
transcript.pyannote[3721].end 14036.60534375
transcript.pyannote[3722].speaker SPEAKER_27
transcript.pyannote[3722].start 14036.60534375
transcript.pyannote[3722].end 14037.02721875
transcript.pyannote[3723].speaker SPEAKER_25
transcript.pyannote[3723].start 14037.02721875
transcript.pyannote[3723].end 14037.44909375
transcript.pyannote[3724].speaker SPEAKER_27
transcript.pyannote[3724].start 14037.44909375
transcript.pyannote[3724].end 14037.78659375
transcript.pyannote[3725].speaker SPEAKER_25
transcript.pyannote[3725].start 14037.78659375
transcript.pyannote[3725].end 14037.88784375
transcript.pyannote[3726].speaker SPEAKER_25
transcript.pyannote[3726].start 14037.97221875
transcript.pyannote[3726].end 14038.12409375
transcript.pyannote[3727].speaker SPEAKER_08
transcript.pyannote[3727].start 14038.12409375
transcript.pyannote[3727].end 14038.24221875
transcript.pyannote[3728].speaker SPEAKER_25
transcript.pyannote[3728].start 14038.24221875
transcript.pyannote[3728].end 14038.54596875
transcript.pyannote[3729].speaker SPEAKER_08
transcript.pyannote[3729].start 14038.29284375
transcript.pyannote[3729].end 14038.47846875
transcript.pyannote[3730].speaker SPEAKER_08
transcript.pyannote[3730].start 14038.54596875
transcript.pyannote[3730].end 14038.68096875
transcript.pyannote[3731].speaker SPEAKER_25
transcript.pyannote[3731].start 14038.68096875
transcript.pyannote[3731].end 14039.03534375
transcript.pyannote[3732].speaker SPEAKER_27
transcript.pyannote[3732].start 14039.32221875
transcript.pyannote[3732].end 14041.27971875
transcript.pyannote[3733].speaker SPEAKER_27
transcript.pyannote[3733].start 14044.40159375
transcript.pyannote[3733].end 14044.70534375
transcript.pyannote[3734].speaker SPEAKER_27
transcript.pyannote[3734].start 14045.36346875
transcript.pyannote[3734].end 14048.08034375
transcript.pyannote[3735].speaker SPEAKER_27
transcript.pyannote[3735].start 14063.31846875
transcript.pyannote[3735].end 14065.93409375
transcript.pyannote[3736].speaker SPEAKER_27
transcript.pyannote[3736].start 14066.35596875
transcript.pyannote[3736].end 14068.81971875
transcript.pyannote[3737].speaker SPEAKER_27
transcript.pyannote[3737].start 14073.27471875
transcript.pyannote[3737].end 14073.29159375
transcript.pyannote[3738].speaker SPEAKER_11
transcript.pyannote[3738].start 14073.29159375
transcript.pyannote[3738].end 14074.27034375
transcript.pyannote[3739].speaker SPEAKER_11
transcript.pyannote[3739].start 14074.62471875
transcript.pyannote[3739].end 14077.20659375
transcript.pyannote[3740].speaker SPEAKER_11
transcript.pyannote[3740].start 14077.39221875
transcript.pyannote[3740].end 14082.62346875
transcript.pyannote[3741].speaker SPEAKER_11
transcript.pyannote[3741].start 14082.91034375
transcript.pyannote[3741].end 14083.93971875
transcript.pyannote[3742].speaker SPEAKER_11
transcript.pyannote[3742].start 14084.31096875
transcript.pyannote[3742].end 14086.80846875
transcript.pyannote[3743].speaker SPEAKER_11
transcript.pyannote[3743].start 14087.02784375
transcript.pyannote[3743].end 14092.14096875
transcript.pyannote[3744].speaker SPEAKER_11
transcript.pyannote[3744].start 14092.44471875
transcript.pyannote[3744].end 14093.60909375
transcript.pyannote[3745].speaker SPEAKER_07
transcript.pyannote[3745].start 14094.28409375
transcript.pyannote[3745].end 14099.27909375
transcript.pyannote[3746].speaker SPEAKER_07
transcript.pyannote[3746].start 14099.71784375
transcript.pyannote[3746].end 14101.79346875
transcript.pyannote[3747].speaker SPEAKER_07
transcript.pyannote[3747].start 14102.19846875
transcript.pyannote[3747].end 14102.62034375
transcript.pyannote[3748].speaker SPEAKER_07
transcript.pyannote[3748].start 14103.24471875
transcript.pyannote[3748].end 14103.56534375
transcript.pyannote[3749].speaker SPEAKER_07
transcript.pyannote[3749].start 14104.15596875
transcript.pyannote[3749].end 14104.62846875
transcript.pyannote[3750].speaker SPEAKER_07
transcript.pyannote[3750].start 14104.78034375
transcript.pyannote[3750].end 14105.84346875
transcript.pyannote[3751].speaker SPEAKER_07
transcript.pyannote[3751].start 14106.16409375
transcript.pyannote[3751].end 14106.18096875
transcript.pyannote[3752].speaker SPEAKER_11
transcript.pyannote[3752].start 14106.18096875
transcript.pyannote[3752].end 14106.19784375
transcript.pyannote[3753].speaker SPEAKER_07
transcript.pyannote[3753].start 14106.19784375
transcript.pyannote[3753].end 14106.46784375
transcript.pyannote[3754].speaker SPEAKER_11
transcript.pyannote[3754].start 14106.46784375
transcript.pyannote[3754].end 14106.80534375
transcript.pyannote[3755].speaker SPEAKER_07
transcript.pyannote[3755].start 14106.80534375
transcript.pyannote[3755].end 14106.83909375
transcript.pyannote[3756].speaker SPEAKER_11
transcript.pyannote[3756].start 14106.83909375
transcript.pyannote[3756].end 14108.44221875
transcript.pyannote[3757].speaker SPEAKER_11
transcript.pyannote[3757].start 14108.64471875
transcript.pyannote[3757].end 14108.93159375
transcript.pyannote[3758].speaker SPEAKER_11
transcript.pyannote[3758].start 14109.35346875
transcript.pyannote[3758].end 14115.83346875
transcript.pyannote[3759].speaker SPEAKER_11
transcript.pyannote[3759].start 14116.20471875
transcript.pyannote[3759].end 14117.41971875
transcript.pyannote[3760].speaker SPEAKER_11
transcript.pyannote[3760].start 14117.82471875
transcript.pyannote[3760].end 14119.30971875
transcript.pyannote[3761].speaker SPEAKER_11
transcript.pyannote[3761].start 14120.05221875
transcript.pyannote[3761].end 14121.77346875
transcript.pyannote[3762].speaker SPEAKER_11
transcript.pyannote[3762].start 14121.99284375
transcript.pyannote[3762].end 14123.14034375
transcript.pyannote[3763].speaker SPEAKER_11
transcript.pyannote[3763].start 14123.54534375
transcript.pyannote[3763].end 14148.82409375
transcript.pyannote[3764].speaker SPEAKER_07
transcript.pyannote[3764].start 14148.52034375
transcript.pyannote[3764].end 14148.63846875
transcript.pyannote[3765].speaker SPEAKER_07
transcript.pyannote[3765].start 14149.07721875
transcript.pyannote[3765].end 14156.75534375
transcript.pyannote[3766].speaker SPEAKER_07
transcript.pyannote[3766].start 14157.21096875
transcript.pyannote[3766].end 14157.68346875
transcript.pyannote[3767].speaker SPEAKER_07
transcript.pyannote[3767].start 14157.76784375
transcript.pyannote[3767].end 14158.79721875
transcript.pyannote[3768].speaker SPEAKER_07
transcript.pyannote[3768].start 14159.28659375
transcript.pyannote[3768].end 14160.97409375
transcript.pyannote[3769].speaker SPEAKER_07
transcript.pyannote[3769].start 14161.27784375
transcript.pyannote[3769].end 14162.45909375
transcript.pyannote[3770].speaker SPEAKER_07
transcript.pyannote[3770].start 14162.84721875
transcript.pyannote[3770].end 14174.11971875
transcript.pyannote[3771].speaker SPEAKER_07
transcript.pyannote[3771].start 14174.52471875
transcript.pyannote[3771].end 14177.91659375
transcript.pyannote[3772].speaker SPEAKER_11
transcript.pyannote[3772].start 14176.58346875
transcript.pyannote[3772].end 14198.28471875
transcript.pyannote[3773].speaker SPEAKER_11
transcript.pyannote[3773].start 14198.65596875
transcript.pyannote[3773].end 14202.92534375
transcript.pyannote[3774].speaker SPEAKER_11
transcript.pyannote[3774].start 14203.31346875
transcript.pyannote[3774].end 14209.54034375
transcript.pyannote[3775].speaker SPEAKER_11
transcript.pyannote[3775].start 14209.97909375
transcript.pyannote[3775].end 14213.15159375
transcript.pyannote[3776].speaker SPEAKER_11
transcript.pyannote[3776].start 14213.37096875
transcript.pyannote[3776].end 14215.00784375
transcript.pyannote[3777].speaker SPEAKER_11
transcript.pyannote[3777].start 14215.09221875
transcript.pyannote[3777].end 14215.86846875
transcript.pyannote[3778].speaker SPEAKER_11
transcript.pyannote[3778].start 14216.29034375
transcript.pyannote[3778].end 14233.26659375
transcript.pyannote[3779].speaker SPEAKER_07
transcript.pyannote[3779].start 14232.79409375
transcript.pyannote[3779].end 14235.62909375
transcript.pyannote[3780].speaker SPEAKER_11
transcript.pyannote[3780].start 14234.90346875
transcript.pyannote[3780].end 14236.72596875
transcript.pyannote[3781].speaker SPEAKER_07
transcript.pyannote[3781].start 14236.69221875
transcript.pyannote[3781].end 14236.81034375
transcript.pyannote[3782].speaker SPEAKER_11
transcript.pyannote[3782].start 14236.81034375
transcript.pyannote[3782].end 14254.51221875
transcript.pyannote[3783].speaker SPEAKER_07
transcript.pyannote[3783].start 14248.23471875
transcript.pyannote[3783].end 14249.16284375
transcript.pyannote[3784].speaker SPEAKER_25
transcript.pyannote[3784].start 14250.22596875
transcript.pyannote[3784].end 14250.64784375
transcript.pyannote[3785].speaker SPEAKER_25
transcript.pyannote[3785].start 14250.79971875
transcript.pyannote[3785].end 14250.83346875
transcript.pyannote[3786].speaker SPEAKER_07
transcript.pyannote[3786].start 14250.83346875
transcript.pyannote[3786].end 14250.88409375
transcript.pyannote[3787].speaker SPEAKER_25
transcript.pyannote[3787].start 14250.88409375
transcript.pyannote[3787].end 14251.25534375
transcript.pyannote[3788].speaker SPEAKER_25
transcript.pyannote[3788].start 14252.33534375
transcript.pyannote[3788].end 14252.60534375
transcript.pyannote[3789].speaker SPEAKER_25
transcript.pyannote[3789].start 14252.74034375
transcript.pyannote[3789].end 14253.29721875
transcript.pyannote[3790].speaker SPEAKER_25
transcript.pyannote[3790].start 14254.51221875
transcript.pyannote[3790].end 14254.52909375
transcript.pyannote[3791].speaker SPEAKER_11
transcript.pyannote[3791].start 14254.96784375
transcript.pyannote[3791].end 14256.52034375
transcript.pyannote[3792].speaker SPEAKER_25
transcript.pyannote[3792].start 14256.18284375
transcript.pyannote[3792].end 14257.46534375
transcript.pyannote[3793].speaker SPEAKER_11
transcript.pyannote[3793].start 14256.87471875
transcript.pyannote[3793].end 14258.47784375
transcript.pyannote[3794].speaker SPEAKER_25
transcript.pyannote[3794].start 14258.78159375
transcript.pyannote[3794].end 14258.81534375
transcript.pyannote[3795].speaker SPEAKER_07
transcript.pyannote[3795].start 14258.81534375
transcript.pyannote[3795].end 14258.88284375
transcript.pyannote[3796].speaker SPEAKER_25
transcript.pyannote[3796].start 14258.88284375
transcript.pyannote[3796].end 14258.96721875
transcript.pyannote[3797].speaker SPEAKER_07
transcript.pyannote[3797].start 14258.96721875
transcript.pyannote[3797].end 14259.97971875
transcript.pyannote[3798].speaker SPEAKER_11
transcript.pyannote[3798].start 14259.33846875
transcript.pyannote[3798].end 14262.78096875
transcript.pyannote[3799].speaker SPEAKER_25
transcript.pyannote[3799].start 14259.97971875
transcript.pyannote[3799].end 14259.99659375
transcript.pyannote[3800].speaker SPEAKER_07
transcript.pyannote[3800].start 14259.99659375
transcript.pyannote[3800].end 14260.03034375
transcript.pyannote[3801].speaker SPEAKER_11
transcript.pyannote[3801].start 14262.94971875
transcript.pyannote[3801].end 14267.79284375
transcript.pyannote[3802].speaker SPEAKER_11
transcript.pyannote[3802].start 14267.91096875
transcript.pyannote[3802].end 14270.84721875
transcript.pyannote[3803].speaker SPEAKER_11
transcript.pyannote[3803].start 14271.26909375
transcript.pyannote[3803].end 14290.06784375
transcript.pyannote[3804].speaker SPEAKER_00
transcript.pyannote[3804].start 14279.09909375
transcript.pyannote[3804].end 14279.11596875
transcript.pyannote[3805].speaker SPEAKER_26
transcript.pyannote[3805].start 14279.11596875
transcript.pyannote[3805].end 14280.02721875
transcript.pyannote[3806].speaker SPEAKER_25
transcript.pyannote[3806].start 14280.02721875
transcript.pyannote[3806].end 14280.09471875
transcript.pyannote[3807].speaker SPEAKER_26
transcript.pyannote[3807].start 14280.09471875
transcript.pyannote[3807].end 14280.26346875
transcript.pyannote[3808].speaker SPEAKER_25
transcript.pyannote[3808].start 14280.26346875
transcript.pyannote[3808].end 14281.71471875
transcript.pyannote[3809].speaker SPEAKER_26
transcript.pyannote[3809].start 14281.71471875
transcript.pyannote[3809].end 14281.84971875
transcript.pyannote[3810].speaker SPEAKER_26
transcript.pyannote[3810].start 14281.95096875
transcript.pyannote[3810].end 14281.96784375
transcript.pyannote[3811].speaker SPEAKER_25
transcript.pyannote[3811].start 14288.92034375
transcript.pyannote[3811].end 14292.81846875
transcript.pyannote[3812].speaker SPEAKER_11
transcript.pyannote[3812].start 14293.15596875
transcript.pyannote[3812].end 14299.85534375
transcript.pyannote[3813].speaker SPEAKER_25
transcript.pyannote[3813].start 14293.39221875
transcript.pyannote[3813].end 14293.96596875
transcript.pyannote[3814].speaker SPEAKER_25
transcript.pyannote[3814].start 14295.18096875
transcript.pyannote[3814].end 14295.50159375
transcript.pyannote[3815].speaker SPEAKER_11
transcript.pyannote[3815].start 14300.15909375
transcript.pyannote[3815].end 14301.03659375
transcript.pyannote[3816].speaker SPEAKER_11
transcript.pyannote[3816].start 14301.44159375
transcript.pyannote[3816].end 14304.86721875
transcript.pyannote[3817].speaker SPEAKER_11
transcript.pyannote[3817].start 14305.23846875
transcript.pyannote[3817].end 14306.63909375
transcript.pyannote[3818].speaker SPEAKER_11
transcript.pyannote[3818].start 14306.84159375
transcript.pyannote[3818].end 14307.39846875
transcript.pyannote[3819].speaker SPEAKER_11
transcript.pyannote[3819].start 14307.63471875
transcript.pyannote[3819].end 14308.95096875
transcript.pyannote[3820].speaker SPEAKER_11
transcript.pyannote[3820].start 14309.71034375
transcript.pyannote[3820].end 14312.61284375
transcript.pyannote[3821].speaker SPEAKER_11
transcript.pyannote[3821].start 14313.52409375
transcript.pyannote[3821].end 14314.36784375
transcript.pyannote[3822].speaker SPEAKER_25
transcript.pyannote[3822].start 14313.91221875
transcript.pyannote[3822].end 14316.93284375
transcript.pyannote[3823].speaker SPEAKER_25
transcript.pyannote[3823].start 14317.01721875
transcript.pyannote[3823].end 14320.03784375
transcript.pyannote[3824].speaker SPEAKER_11
transcript.pyannote[3824].start 14317.05096875
transcript.pyannote[3824].end 14318.73846875
transcript.pyannote[3825].speaker SPEAKER_11
transcript.pyannote[3825].start 14319.43034375
transcript.pyannote[3825].end 14319.90284375
transcript.pyannote[3826].speaker SPEAKER_25
transcript.pyannote[3826].start 14320.18971875
transcript.pyannote[3826].end 14324.50971875
transcript.pyannote[3827].speaker SPEAKER_11
transcript.pyannote[3827].start 14320.27409375
transcript.pyannote[3827].end 14320.69596875
transcript.pyannote[3828].speaker SPEAKER_11
transcript.pyannote[3828].start 14323.68284375
transcript.pyannote[3828].end 14341.50284375
transcript.pyannote[3829].speaker SPEAKER_25
transcript.pyannote[3829].start 14329.72409375
transcript.pyannote[3829].end 14331.14159375
transcript.pyannote[3830].speaker SPEAKER_25
transcript.pyannote[3830].start 14332.66034375
transcript.pyannote[3830].end 14333.41971875
transcript.pyannote[3831].speaker SPEAKER_25
transcript.pyannote[3831].start 14337.46971875
transcript.pyannote[3831].end 14338.97159375
transcript.pyannote[3832].speaker SPEAKER_03
transcript.pyannote[3832].start 14338.97159375
transcript.pyannote[3832].end 14339.66346875
transcript.pyannote[3833].speaker SPEAKER_11
transcript.pyannote[3833].start 14341.97534375
transcript.pyannote[3833].end 14355.88034375
transcript.pyannote[3834].speaker SPEAKER_03
transcript.pyannote[3834].start 14342.02596875
transcript.pyannote[3834].end 14344.03409375
transcript.pyannote[3835].speaker SPEAKER_25
transcript.pyannote[3835].start 14344.03409375
transcript.pyannote[3835].end 14344.47284375
transcript.pyannote[3836].speaker SPEAKER_03
transcript.pyannote[3836].start 14344.47284375
transcript.pyannote[3836].end 14344.65846875
transcript.pyannote[3837].speaker SPEAKER_25
transcript.pyannote[3837].start 14344.65846875
transcript.pyannote[3837].end 14345.43471875
transcript.pyannote[3838].speaker SPEAKER_03
transcript.pyannote[3838].start 14345.43471875
transcript.pyannote[3838].end 14345.53596875
transcript.pyannote[3839].speaker SPEAKER_25
transcript.pyannote[3839].start 14353.12971875
transcript.pyannote[3839].end 14355.15471875
transcript.pyannote[3840].speaker SPEAKER_11
transcript.pyannote[3840].start 14356.36971875
transcript.pyannote[3840].end 14360.79096875
transcript.pyannote[3841].speaker SPEAKER_11
transcript.pyannote[3841].start 14360.95971875
transcript.pyannote[3841].end 14364.95909375
transcript.pyannote[3842].speaker SPEAKER_11
transcript.pyannote[3842].start 14365.27971875
transcript.pyannote[3842].end 14373.93659375
transcript.pyannote[3843].speaker SPEAKER_11
transcript.pyannote[3843].start 14374.03784375
transcript.pyannote[3843].end 14378.02034375
transcript.pyannote[3844].speaker SPEAKER_11
transcript.pyannote[3844].start 14378.15534375
transcript.pyannote[3844].end 14381.61471875
transcript.pyannote[3845].speaker SPEAKER_11
transcript.pyannote[3845].start 14381.86784375
transcript.pyannote[3845].end 14383.50471875
transcript.pyannote[3846].speaker SPEAKER_11
transcript.pyannote[3846].start 14383.75784375
transcript.pyannote[3846].end 14395.03034375
transcript.pyannote[3847].speaker SPEAKER_23
transcript.pyannote[3847].start 14388.75284375
transcript.pyannote[3847].end 14389.63034375
transcript.pyannote[3848].speaker SPEAKER_03
transcript.pyannote[3848].start 14389.63034375
transcript.pyannote[3848].end 14389.68096875
transcript.pyannote[3849].speaker SPEAKER_25
transcript.pyannote[3849].start 14395.03034375
transcript.pyannote[3849].end 14395.04721875
transcript.pyannote[3850].speaker SPEAKER_11
transcript.pyannote[3850].start 14395.04721875
transcript.pyannote[3850].end 14396.02596875
transcript.pyannote[3851].speaker SPEAKER_25
transcript.pyannote[3851].start 14396.02596875
transcript.pyannote[3851].end 14396.70096875
transcript.pyannote[3852].speaker SPEAKER_11
transcript.pyannote[3852].start 14396.70096875
transcript.pyannote[3852].end 14396.78534375
transcript.pyannote[3853].speaker SPEAKER_25
transcript.pyannote[3853].start 14396.78534375
transcript.pyannote[3853].end 14397.67971875
transcript.pyannote[3854].speaker SPEAKER_25
transcript.pyannote[3854].start 14397.96659375
transcript.pyannote[3854].end 14400.83534375
transcript.pyannote[3855].speaker SPEAKER_25
transcript.pyannote[3855].start 14401.30784375
transcript.pyannote[3855].end 14407.14659375
transcript.pyannote[3856].speaker SPEAKER_25
transcript.pyannote[3856].start 14407.70346875
transcript.pyannote[3856].end 14408.02409375
transcript.pyannote[3857].speaker SPEAKER_11
transcript.pyannote[3857].start 14408.02409375
transcript.pyannote[3857].end 14422.21596875
transcript.pyannote[3858].speaker SPEAKER_25
transcript.pyannote[3858].start 14408.66534375
transcript.pyannote[3858].end 14409.20534375
transcript.pyannote[3859].speaker SPEAKER_25
transcript.pyannote[3859].start 14410.53846875
transcript.pyannote[3859].end 14411.02784375
transcript.pyannote[3860].speaker SPEAKER_23
transcript.pyannote[3860].start 14418.08159375
transcript.pyannote[3860].end 14418.09846875
transcript.pyannote[3861].speaker SPEAKER_20
transcript.pyannote[3861].start 14418.09846875
transcript.pyannote[3861].end 14419.60034375
transcript.pyannote[3862].speaker SPEAKER_20
transcript.pyannote[3862].start 14420.25846875
transcript.pyannote[3862].end 14420.51159375
transcript.pyannote[3863].speaker SPEAKER_20
transcript.pyannote[3863].start 14420.95034375
transcript.pyannote[3863].end 14422.41846875
transcript.pyannote[3864].speaker SPEAKER_11
transcript.pyannote[3864].start 14422.50284375
transcript.pyannote[3864].end 14455.71284375
transcript.pyannote[3865].speaker SPEAKER_25
transcript.pyannote[3865].start 14427.81846875
transcript.pyannote[3865].end 14428.72971875
transcript.pyannote[3866].speaker SPEAKER_00
transcript.pyannote[3866].start 14433.57284375
transcript.pyannote[3866].end 14435.02409375
transcript.pyannote[3867].speaker SPEAKER_25
transcript.pyannote[3867].start 14435.02409375
transcript.pyannote[3867].end 14435.07471875
transcript.pyannote[3868].speaker SPEAKER_00
transcript.pyannote[3868].start 14435.07471875
transcript.pyannote[3868].end 14435.27721875
transcript.pyannote[3869].speaker SPEAKER_25
transcript.pyannote[3869].start 14435.93534375
transcript.pyannote[3869].end 14436.17159375
transcript.pyannote[3870].speaker SPEAKER_25
transcript.pyannote[3870].start 14436.39096875
transcript.pyannote[3870].end 14436.44159375
transcript.pyannote[3871].speaker SPEAKER_00
transcript.pyannote[3871].start 14436.44159375
transcript.pyannote[3871].end 14436.49221875
transcript.pyannote[3872].speaker SPEAKER_25
transcript.pyannote[3872].start 14436.49221875
transcript.pyannote[3872].end 14437.08284375
transcript.pyannote[3873].speaker SPEAKER_00
transcript.pyannote[3873].start 14437.08284375
transcript.pyannote[3873].end 14437.20096875
transcript.pyannote[3874].speaker SPEAKER_25
transcript.pyannote[3874].start 14447.29221875
transcript.pyannote[3874].end 14447.49471875
transcript.pyannote[3875].speaker SPEAKER_25
transcript.pyannote[3875].start 14450.29596875
transcript.pyannote[3875].end 14450.80221875
transcript.pyannote[3876].speaker SPEAKER_25
transcript.pyannote[3876].start 14453.06346875
transcript.pyannote[3876].end 14453.48534375
transcript.pyannote[3877].speaker SPEAKER_11
transcript.pyannote[3877].start 14455.78034375
transcript.pyannote[3877].end 14466.49596875
transcript.pyannote[3878].speaker SPEAKER_25
transcript.pyannote[3878].start 14466.52971875
transcript.pyannote[3878].end 14466.71534375
transcript.pyannote[3879].speaker SPEAKER_11
transcript.pyannote[3879].start 14466.91784375
transcript.pyannote[3879].end 14468.50409375
transcript.pyannote[3880].speaker SPEAKER_11
transcript.pyannote[3880].start 14468.95971875
transcript.pyannote[3880].end 14469.44909375
transcript.pyannote[3881].speaker SPEAKER_25
transcript.pyannote[3881].start 14469.44909375
transcript.pyannote[3881].end 14470.22534375
transcript.pyannote[3882].speaker SPEAKER_11
transcript.pyannote[3882].start 14470.22534375
transcript.pyannote[3882].end 14495.97659375
transcript.pyannote[3883].speaker SPEAKER_25
transcript.pyannote[3883].start 14470.24221875
transcript.pyannote[3883].end 14471.37284375
transcript.pyannote[3884].speaker SPEAKER_25
transcript.pyannote[3884].start 14477.12721875
transcript.pyannote[3884].end 14480.45159375
transcript.pyannote[3885].speaker SPEAKER_25
transcript.pyannote[3885].start 14483.28659375
transcript.pyannote[3885].end 14486.39159375
transcript.pyannote[3886].speaker SPEAKER_25
transcript.pyannote[3886].start 14487.15096875
transcript.pyannote[3886].end 14488.07909375
transcript.pyannote[3887].speaker SPEAKER_11
transcript.pyannote[3887].start 14496.51659375
transcript.pyannote[3887].end 14504.02596875
transcript.pyannote[3888].speaker SPEAKER_25
transcript.pyannote[3888].start 14504.02596875
transcript.pyannote[3888].end 14507.33346875
transcript.pyannote[3889].speaker SPEAKER_25
transcript.pyannote[3889].start 14507.75534375
transcript.pyannote[3889].end 14508.54846875
transcript.pyannote[3890].speaker SPEAKER_11
transcript.pyannote[3890].start 14508.54846875
transcript.pyannote[3890].end 14508.58221875
transcript.pyannote[3891].speaker SPEAKER_25
transcript.pyannote[3891].start 14508.83534375
transcript.pyannote[3891].end 14509.86471875
transcript.pyannote[3892].speaker SPEAKER_11
transcript.pyannote[3892].start 14509.86471875
transcript.pyannote[3892].end 14509.94909375
transcript.pyannote[3893].speaker SPEAKER_25
transcript.pyannote[3893].start 14509.94909375
transcript.pyannote[3893].end 14509.96596875
transcript.pyannote[3894].speaker SPEAKER_11
transcript.pyannote[3894].start 14509.96596875
transcript.pyannote[3894].end 14518.08284375
transcript.pyannote[3895].speaker SPEAKER_25
transcript.pyannote[3895].start 14511.07971875
transcript.pyannote[3895].end 14511.19784375
transcript.pyannote[3896].speaker SPEAKER_25
transcript.pyannote[3896].start 14512.66596875
transcript.pyannote[3896].end 14513.37471875
transcript.pyannote[3897].speaker SPEAKER_25
transcript.pyannote[3897].start 14518.08284375
transcript.pyannote[3897].end 14520.46221875
transcript.pyannote[3898].speaker SPEAKER_25
transcript.pyannote[3898].start 14520.96846875
transcript.pyannote[3898].end 14522.50409375
transcript.pyannote[3899].speaker SPEAKER_11
transcript.pyannote[3899].start 14521.57596875
transcript.pyannote[3899].end 14522.26784375
transcript.pyannote[3900].speaker SPEAKER_25
transcript.pyannote[3900].start 14522.62221875
transcript.pyannote[3900].end 14523.85409375
transcript.pyannote[3901].speaker SPEAKER_25
transcript.pyannote[3901].start 14524.29284375
transcript.pyannote[3901].end 14526.80721875
transcript.pyannote[3902].speaker SPEAKER_25
transcript.pyannote[3902].start 14526.87471875
transcript.pyannote[3902].end 14530.03034375
transcript.pyannote[3903].speaker SPEAKER_25
transcript.pyannote[3903].start 14530.46909375
transcript.pyannote[3903].end 14532.59534375
transcript.pyannote[3904].speaker SPEAKER_11
transcript.pyannote[3904].start 14531.00909375
transcript.pyannote[3904].end 14536.32471875
transcript.pyannote[3905].speaker SPEAKER_25
transcript.pyannote[3905].start 14535.93659375
transcript.pyannote[3905].end 14539.27784375
transcript.pyannote[3906].speaker SPEAKER_11
transcript.pyannote[3906].start 14537.01659375
transcript.pyannote[3906].end 14540.86409375
transcript.pyannote[3907].speaker SPEAKER_11
transcript.pyannote[3907].start 14541.06659375
transcript.pyannote[3907].end 14542.51784375
transcript.pyannote[3908].speaker SPEAKER_27
transcript.pyannote[3908].start 14542.51784375
transcript.pyannote[3908].end 14544.08721875
transcript.pyannote[3909].speaker SPEAKER_27
transcript.pyannote[3909].start 14544.35721875
transcript.pyannote[3909].end 14549.85846875
transcript.pyannote[3910].speaker SPEAKER_27
transcript.pyannote[3910].start 14549.90909375
transcript.pyannote[3910].end 14571.93096875
transcript.pyannote[3911].speaker SPEAKER_27
transcript.pyannote[3911].start 14574.78284375
transcript.pyannote[3911].end 14577.46596875
transcript.pyannote[3912].speaker SPEAKER_27
transcript.pyannote[3912].start 14578.03971875
transcript.pyannote[3912].end 14580.03096875
transcript.pyannote[3913].speaker SPEAKER_09
transcript.pyannote[3913].start 14585.88659375
transcript.pyannote[3913].end 14588.14784375
transcript.pyannote[3914].speaker SPEAKER_27
transcript.pyannote[3914].start 14588.50221875
transcript.pyannote[3914].end 14590.35846875
transcript.pyannote[3915].speaker SPEAKER_09
transcript.pyannote[3915].start 14595.35346875
transcript.pyannote[3915].end 14595.99471875
transcript.pyannote[3916].speaker SPEAKER_09
transcript.pyannote[3916].start 14596.14659375
transcript.pyannote[3916].end 14596.73721875
transcript.pyannote[3917].speaker SPEAKER_24
transcript.pyannote[3917].start 14596.26471875
transcript.pyannote[3917].end 14596.66971875
transcript.pyannote[3918].speaker SPEAKER_09
transcript.pyannote[3918].start 14597.00721875
transcript.pyannote[3918].end 14607.30096875
transcript.pyannote[3919].speaker SPEAKER_09
transcript.pyannote[3919].start 14607.33471875
transcript.pyannote[3919].end 14610.67596875
transcript.pyannote[3920].speaker SPEAKER_09
transcript.pyannote[3920].start 14610.86159375
transcript.pyannote[3920].end 14615.06346875
transcript.pyannote[3921].speaker SPEAKER_09
transcript.pyannote[3921].start 14615.18159375
transcript.pyannote[3921].end 14619.13034375
transcript.pyannote[3922].speaker SPEAKER_09
transcript.pyannote[3922].start 14619.24846875
transcript.pyannote[3922].end 14623.02846875
transcript.pyannote[3923].speaker SPEAKER_09
transcript.pyannote[3923].start 14623.41659375
transcript.pyannote[3923].end 14626.75784375
transcript.pyannote[3924].speaker SPEAKER_21
transcript.pyannote[3924].start 14627.88846875
transcript.pyannote[3924].end 14629.96409375
transcript.pyannote[3925].speaker SPEAKER_21
transcript.pyannote[3925].start 14630.62221875
transcript.pyannote[3925].end 14633.00159375
transcript.pyannote[3926].speaker SPEAKER_21
transcript.pyannote[3926].start 14634.48659375
transcript.pyannote[3926].end 14643.31221875
transcript.pyannote[3927].speaker SPEAKER_09
transcript.pyannote[3927].start 14641.35471875
transcript.pyannote[3927].end 14645.03346875
transcript.pyannote[3928].speaker SPEAKER_09
transcript.pyannote[3928].start 14645.10096875
transcript.pyannote[3928].end 14648.71221875
transcript.pyannote[3929].speaker SPEAKER_21
transcript.pyannote[3929].start 14649.35346875
transcript.pyannote[3929].end 14649.99471875
transcript.pyannote[3930].speaker SPEAKER_09
transcript.pyannote[3930].start 14650.01159375
transcript.pyannote[3930].end 14653.42034375
transcript.pyannote[3931].speaker SPEAKER_09
transcript.pyannote[3931].start 14653.52159375
transcript.pyannote[3931].end 14655.02346875
transcript.pyannote[3932].speaker SPEAKER_21
transcript.pyannote[3932].start 14655.46221875
transcript.pyannote[3932].end 14663.78159375
transcript.pyannote[3933].speaker SPEAKER_21
transcript.pyannote[3933].start 14663.96721875
transcript.pyannote[3933].end 14666.85284375
transcript.pyannote[3934].speaker SPEAKER_09
transcript.pyannote[3934].start 14666.85284375
transcript.pyannote[3934].end 14666.86971875
transcript.pyannote[3935].speaker SPEAKER_21
transcript.pyannote[3935].start 14666.86971875
transcript.pyannote[3935].end 14666.88659375
transcript.pyannote[3936].speaker SPEAKER_21
transcript.pyannote[3936].start 14667.25784375
transcript.pyannote[3936].end 14667.30846875
transcript.pyannote[3937].speaker SPEAKER_09
transcript.pyannote[3937].start 14667.30846875
transcript.pyannote[3937].end 14674.91909375
transcript.pyannote[3938].speaker SPEAKER_21
transcript.pyannote[3938].start 14675.27346875
transcript.pyannote[3938].end 14676.84284375
transcript.pyannote[3939].speaker SPEAKER_09
transcript.pyannote[3939].start 14675.30721875
transcript.pyannote[3939].end 14675.81346875
transcript.pyannote[3940].speaker SPEAKER_09
transcript.pyannote[3940].start 14676.35346875
transcript.pyannote[3940].end 14681.88846875
transcript.pyannote[3941].speaker SPEAKER_09
transcript.pyannote[3941].start 14682.47909375
transcript.pyannote[3941].end 14686.34346875
transcript.pyannote[3942].speaker SPEAKER_09
transcript.pyannote[3942].start 14687.44034375
transcript.pyannote[3942].end 14692.11471875
transcript.pyannote[3943].speaker SPEAKER_21
transcript.pyannote[3943].start 14687.57534375
transcript.pyannote[3943].end 14687.74409375
transcript.pyannote[3944].speaker SPEAKER_21
transcript.pyannote[3944].start 14688.55409375
transcript.pyannote[3944].end 14689.97159375
transcript.pyannote[3945].speaker SPEAKER_09
transcript.pyannote[3945].start 14692.40159375
transcript.pyannote[3945].end 14698.79721875
transcript.pyannote[3946].speaker SPEAKER_09
transcript.pyannote[3946].start 14698.98284375
transcript.pyannote[3946].end 14699.05034375
transcript.pyannote[3947].speaker SPEAKER_09
transcript.pyannote[3947].start 14699.06721875
transcript.pyannote[3947].end 14712.48284375
transcript.pyannote[3948].speaker SPEAKER_09
transcript.pyannote[3948].start 14713.59659375
transcript.pyannote[3948].end 14718.22034375
transcript.pyannote[3949].speaker SPEAKER_09
transcript.pyannote[3949].start 14718.60846875
transcript.pyannote[3949].end 14724.10971875
transcript.pyannote[3950].speaker SPEAKER_09
transcript.pyannote[3950].start 14724.26159375
transcript.pyannote[3950].end 14726.15159375
transcript.pyannote[3951].speaker SPEAKER_09
transcript.pyannote[3951].start 14726.33721875
transcript.pyannote[3951].end 14729.40846875
transcript.pyannote[3952].speaker SPEAKER_09
transcript.pyannote[3952].start 14729.76284375
transcript.pyannote[3952].end 14731.58534375
transcript.pyannote[3953].speaker SPEAKER_09
transcript.pyannote[3953].start 14731.92284375
transcript.pyannote[3953].end 14737.28909375
transcript.pyannote[3954].speaker SPEAKER_09
transcript.pyannote[3954].start 14738.21721875
transcript.pyannote[3954].end 14741.11971875
transcript.pyannote[3955].speaker SPEAKER_09
transcript.pyannote[3955].start 14741.33909375
transcript.pyannote[3955].end 14745.70971875
transcript.pyannote[3956].speaker SPEAKER_09
transcript.pyannote[3956].start 14746.01346875
transcript.pyannote[3956].end 14746.89096875
transcript.pyannote[3957].speaker SPEAKER_09
transcript.pyannote[3957].start 14747.05971875
transcript.pyannote[3957].end 14749.50659375
transcript.pyannote[3958].speaker SPEAKER_09
transcript.pyannote[3958].start 14749.91159375
transcript.pyannote[3958].end 14751.04221875
transcript.pyannote[3959].speaker SPEAKER_25
transcript.pyannote[3959].start 14751.04221875
transcript.pyannote[3959].end 14751.05909375
transcript.pyannote[3960].speaker SPEAKER_25
transcript.pyannote[3960].start 14752.02096875
transcript.pyannote[3960].end 14760.49221875
transcript.pyannote[3961].speaker SPEAKER_09
transcript.pyannote[3961].start 14758.93971875
transcript.pyannote[3961].end 14768.11971875
transcript.pyannote[3962].speaker SPEAKER_09
transcript.pyannote[3962].start 14768.37284375
transcript.pyannote[3962].end 14777.94096875
transcript.pyannote[3963].speaker SPEAKER_20
transcript.pyannote[3963].start 14777.01284375
transcript.pyannote[3963].end 14779.59471875
transcript.pyannote[3964].speaker SPEAKER_09
transcript.pyannote[3964].start 14778.41346875
transcript.pyannote[3964].end 14782.54784375
transcript.pyannote[3965].speaker SPEAKER_09
transcript.pyannote[3965].start 14782.90221875
transcript.pyannote[3965].end 14792.60534375
transcript.pyannote[3966].speaker SPEAKER_25
transcript.pyannote[3966].start 14791.54221875
transcript.pyannote[3966].end 14804.55284375
transcript.pyannote[3967].speaker SPEAKER_09
transcript.pyannote[3967].start 14802.76409375
transcript.pyannote[3967].end 14804.45159375
transcript.pyannote[3968].speaker SPEAKER_25
transcript.pyannote[3968].start 14804.70471875
transcript.pyannote[3968].end 14807.53971875
transcript.pyannote[3969].speaker SPEAKER_09
transcript.pyannote[3969].start 14807.53971875
transcript.pyannote[3969].end 14810.07096875
transcript.pyannote[3970].speaker SPEAKER_25
transcript.pyannote[3970].start 14807.55659375
transcript.pyannote[3970].end 14819.97659375
transcript.pyannote[3971].speaker SPEAKER_09
transcript.pyannote[3971].start 14819.97659375
transcript.pyannote[3971].end 14820.61784375
transcript.pyannote[3972].speaker SPEAKER_09
transcript.pyannote[3972].start 14821.10721875
transcript.pyannote[3972].end 14832.14346875
transcript.pyannote[3973].speaker SPEAKER_09
transcript.pyannote[3973].start 14832.36284375
transcript.pyannote[3973].end 14836.81784375
transcript.pyannote[3974].speaker SPEAKER_09
transcript.pyannote[3974].start 14838.33659375
transcript.pyannote[3974].end 14840.73284375
transcript.pyannote[3975].speaker SPEAKER_09
transcript.pyannote[3975].start 14840.86784375
transcript.pyannote[3975].end 14842.03221875
transcript.pyannote[3976].speaker SPEAKER_09
transcript.pyannote[3976].start 14842.26846875
transcript.pyannote[3976].end 14842.74096875
transcript.pyannote[3977].speaker SPEAKER_09
transcript.pyannote[3977].start 14842.84221875
transcript.pyannote[3977].end 14856.37596875
transcript.pyannote[3978].speaker SPEAKER_21
transcript.pyannote[3978].start 14856.37596875
transcript.pyannote[3978].end 14856.39284375
transcript.pyannote[3979].speaker SPEAKER_25
transcript.pyannote[3979].start 14856.96659375
transcript.pyannote[3979].end 14857.67534375
transcript.pyannote[3980].speaker SPEAKER_21
transcript.pyannote[3980].start 14859.43034375
transcript.pyannote[3980].end 14861.77596875
transcript.pyannote[3981].speaker SPEAKER_21
transcript.pyannote[3981].start 14861.86034375
transcript.pyannote[3981].end 14866.28159375
transcript.pyannote[3982].speaker SPEAKER_00
transcript.pyannote[3982].start 14865.52221875
transcript.pyannote[3982].end 14865.91034375
transcript.pyannote[3983].speaker SPEAKER_21
transcript.pyannote[3983].start 14866.63596875
transcript.pyannote[3983].end 14867.09159375
transcript.pyannote[3984].speaker SPEAKER_21
transcript.pyannote[3984].start 14867.34471875
transcript.pyannote[3984].end 14870.21346875
transcript.pyannote[3985].speaker SPEAKER_21
transcript.pyannote[3985].start 14870.71971875
transcript.pyannote[3985].end 14871.68159375
transcript.pyannote[3986].speaker SPEAKER_21
transcript.pyannote[3986].start 14872.17096875
transcript.pyannote[3986].end 14874.28034375
transcript.pyannote[3987].speaker SPEAKER_21
transcript.pyannote[3987].start 14874.80346875
transcript.pyannote[3987].end 14879.15721875
transcript.pyannote[3988].speaker SPEAKER_09
transcript.pyannote[3988].start 14879.15721875
transcript.pyannote[3988].end 14879.17409375
transcript.pyannote[3989].speaker SPEAKER_21
transcript.pyannote[3989].start 14879.51159375
transcript.pyannote[3989].end 14879.96721875
transcript.pyannote[3990].speaker SPEAKER_09
transcript.pyannote[3990].start 14879.96721875
transcript.pyannote[3990].end 14880.81096875
transcript.pyannote[3991].speaker SPEAKER_21
transcript.pyannote[3991].start 14880.81096875
transcript.pyannote[3991].end 14880.82784375
transcript.pyannote[3992].speaker SPEAKER_21
transcript.pyannote[3992].start 14881.04721875
transcript.pyannote[3992].end 14881.06409375
transcript.pyannote[3993].speaker SPEAKER_09
transcript.pyannote[3993].start 14881.06409375
transcript.pyannote[3993].end 14884.64159375
transcript.pyannote[3994].speaker SPEAKER_21
transcript.pyannote[3994].start 14884.64159375
transcript.pyannote[3994].end 14884.65846875
transcript.pyannote[3995].speaker SPEAKER_21
transcript.pyannote[3995].start 14885.16471875
transcript.pyannote[3995].end 14888.96159375
transcript.pyannote[3996].speaker SPEAKER_21
transcript.pyannote[3996].start 14889.26534375
transcript.pyannote[3996].end 14891.27346875
transcript.pyannote[3997].speaker SPEAKER_21
transcript.pyannote[3997].start 14891.79659375
transcript.pyannote[3997].end 14893.97346875
transcript.pyannote[3998].speaker SPEAKER_09
transcript.pyannote[3998].start 14893.97346875
transcript.pyannote[3998].end 14894.02409375
transcript.pyannote[3999].speaker SPEAKER_21
transcript.pyannote[3999].start 14894.02409375
transcript.pyannote[3999].end 14896.11659375
transcript.pyannote[4000].speaker SPEAKER_09
transcript.pyannote[4000].start 14894.07471875
transcript.pyannote[4000].end 14894.63159375
transcript.pyannote[4001].speaker SPEAKER_09
transcript.pyannote[4001].start 14895.03659375
transcript.pyannote[4001].end 14895.30659375
transcript.pyannote[4002].speaker SPEAKER_09
transcript.pyannote[4002].start 14897.07846875
transcript.pyannote[4002].end 14897.09534375
transcript.pyannote[4003].speaker SPEAKER_21
transcript.pyannote[4003].start 14897.09534375
transcript.pyannote[4003].end 14897.14596875
transcript.pyannote[4004].speaker SPEAKER_09
transcript.pyannote[4004].start 14897.14596875
transcript.pyannote[4004].end 14897.16284375
transcript.pyannote[4005].speaker SPEAKER_21
transcript.pyannote[4005].start 14897.16284375
transcript.pyannote[4005].end 14899.59284375
transcript.pyannote[4006].speaker SPEAKER_09
transcript.pyannote[4006].start 14897.23034375
transcript.pyannote[4006].end 14901.53346875
transcript.pyannote[4007].speaker SPEAKER_09
transcript.pyannote[4007].start 14902.24221875
transcript.pyannote[4007].end 14928.29721875
transcript.pyannote[4008].speaker SPEAKER_21
transcript.pyannote[4008].start 14910.74721875
transcript.pyannote[4008].end 14913.97034375
transcript.pyannote[4009].speaker SPEAKER_00
transcript.pyannote[4009].start 14913.97034375
transcript.pyannote[4009].end 14915.03346875
transcript.pyannote[4010].speaker SPEAKER_20
transcript.pyannote[4010].start 14915.03346875
transcript.pyannote[4010].end 14915.33721875
transcript.pyannote[4011].speaker SPEAKER_00
transcript.pyannote[4011].start 14915.33721875
transcript.pyannote[4011].end 14917.02471875
transcript.pyannote[4012].speaker SPEAKER_21
transcript.pyannote[4012].start 14917.02471875
transcript.pyannote[4012].end 14918.02034375
transcript.pyannote[4013].speaker SPEAKER_00
transcript.pyannote[4013].start 14918.02034375
transcript.pyannote[4013].end 14918.52659375
transcript.pyannote[4014].speaker SPEAKER_21
transcript.pyannote[4014].start 14928.29721875
transcript.pyannote[4014].end 14934.65909375
transcript.pyannote[4015].speaker SPEAKER_09
transcript.pyannote[4015].start 14928.38159375
transcript.pyannote[4015].end 14929.51221875
transcript.pyannote[4016].speaker SPEAKER_09
transcript.pyannote[4016].start 14929.57971875
transcript.pyannote[4016].end 14931.94221875
transcript.pyannote[4017].speaker SPEAKER_09
transcript.pyannote[4017].start 14932.92096875
transcript.pyannote[4017].end 14933.34284375
transcript.pyannote[4018].speaker SPEAKER_09
transcript.pyannote[4018].start 14933.57909375
transcript.pyannote[4018].end 14938.64159375
transcript.pyannote[4019].speaker SPEAKER_09
transcript.pyannote[4019].start 14939.23221875
transcript.pyannote[4019].end 14945.27346875
transcript.pyannote[4020].speaker SPEAKER_09
transcript.pyannote[4020].start 14945.61096875
transcript.pyannote[4020].end 14949.00284375
transcript.pyannote[4021].speaker SPEAKER_09
transcript.pyannote[4021].start 14949.20534375
transcript.pyannote[4021].end 14953.01909375
transcript.pyannote[4022].speaker SPEAKER_09
transcript.pyannote[4022].start 14953.35659375
transcript.pyannote[4022].end 14961.74346875
transcript.pyannote[4023].speaker SPEAKER_09
transcript.pyannote[4023].start 14962.23284375
transcript.pyannote[4023].end 14966.29971875
transcript.pyannote[4024].speaker SPEAKER_09
transcript.pyannote[4024].start 14966.75534375
transcript.pyannote[4024].end 14974.41659375
transcript.pyannote[4025].speaker SPEAKER_09
transcript.pyannote[4025].start 14974.65284375
transcript.pyannote[4025].end 14975.68221875
transcript.pyannote[4026].speaker SPEAKER_09
transcript.pyannote[4026].start 14975.95221875
transcript.pyannote[4026].end 14977.11659375
transcript.pyannote[4027].speaker SPEAKER_09
transcript.pyannote[4027].start 14977.45409375
transcript.pyannote[4027].end 14978.28096875
transcript.pyannote[4028].speaker SPEAKER_21
transcript.pyannote[4028].start 14979.15846875
transcript.pyannote[4028].end 14984.45721875
transcript.pyannote[4029].speaker SPEAKER_09
transcript.pyannote[4029].start 14984.45721875
transcript.pyannote[4029].end 14986.54971875
transcript.pyannote[4030].speaker SPEAKER_21
transcript.pyannote[4030].start 14984.49096875
transcript.pyannote[4030].end 14984.54159375
transcript.pyannote[4031].speaker SPEAKER_09
transcript.pyannote[4031].start 14987.86596875
transcript.pyannote[4031].end 14988.33846875
transcript.pyannote[4032].speaker SPEAKER_09
transcript.pyannote[4032].start 14988.99659375
transcript.pyannote[4032].end 14991.03846875
transcript.pyannote[4033].speaker SPEAKER_21
transcript.pyannote[4033].start 14991.03846875
transcript.pyannote[4033].end 14991.62909375
transcript.pyannote[4034].speaker SPEAKER_21
transcript.pyannote[4034].start 14992.30409375
transcript.pyannote[4034].end 14992.94534375
transcript.pyannote[4035].speaker SPEAKER_21
transcript.pyannote[4035].start 14993.09721875
transcript.pyannote[4035].end 14998.14284375
transcript.pyannote[4036].speaker SPEAKER_21
transcript.pyannote[4036].start 14998.88534375
transcript.pyannote[4036].end 15000.87659375
transcript.pyannote[4037].speaker SPEAKER_09
transcript.pyannote[4037].start 15000.87659375
transcript.pyannote[4037].end 15012.28409375
transcript.pyannote[4038].speaker SPEAKER_21
transcript.pyannote[4038].start 15000.89346875
transcript.pyannote[4038].end 15002.53034375
transcript.pyannote[4039].speaker SPEAKER_21
transcript.pyannote[4039].start 15003.93096875
transcript.pyannote[4039].end 15005.75346875
transcript.pyannote[4040].speaker SPEAKER_21
transcript.pyannote[4040].start 15009.38159375
transcript.pyannote[4040].end 15010.12409375
transcript.pyannote[4041].speaker SPEAKER_21
transcript.pyannote[4041].start 15010.90034375
transcript.pyannote[4041].end 15022.96596875
transcript.pyannote[4042].speaker SPEAKER_09
transcript.pyannote[4042].start 15022.96596875
transcript.pyannote[4042].end 15038.06909375
transcript.pyannote[4043].speaker SPEAKER_09
transcript.pyannote[4043].start 15038.30534375
transcript.pyannote[4043].end 15043.23284375
transcript.pyannote[4044].speaker SPEAKER_25
transcript.pyannote[4044].start 15041.54534375
transcript.pyannote[4044].end 15044.02596875
transcript.pyannote[4045].speaker SPEAKER_09
transcript.pyannote[4045].start 15044.02596875
transcript.pyannote[4045].end 15046.05096875
transcript.pyannote[4046].speaker SPEAKER_25
transcript.pyannote[4046].start 15044.17784375
transcript.pyannote[4046].end 15044.80221875
transcript.pyannote[4047].speaker SPEAKER_27
transcript.pyannote[4047].start 15046.77659375
transcript.pyannote[4047].end 15050.08409375
transcript.pyannote[4048].speaker SPEAKER_27
transcript.pyannote[4048].start 15053.02034375
transcript.pyannote[4048].end 15053.23971875
transcript.pyannote[4049].speaker SPEAKER_27
transcript.pyannote[4049].start 15054.21846875
transcript.pyannote[4049].end 15055.14659375
transcript.pyannote[4050].speaker SPEAKER_27
transcript.pyannote[4050].start 15055.36596875
transcript.pyannote[4050].end 15056.27721875
transcript.pyannote[4051].speaker SPEAKER_27
transcript.pyannote[4051].start 15056.39534375
transcript.pyannote[4051].end 15057.66096875
transcript.pyannote[4052].speaker SPEAKER_27
transcript.pyannote[4052].start 15059.44971875
transcript.pyannote[4052].end 15064.00596875
transcript.pyannote[4053].speaker SPEAKER_27
transcript.pyannote[4053].start 15064.44471875
transcript.pyannote[4053].end 15081.47159375
transcript.pyannote[4054].speaker SPEAKER_27
transcript.pyannote[4054].start 15081.80909375
transcript.pyannote[4054].end 15093.25034375
transcript.pyannote[4055].speaker SPEAKER_27
transcript.pyannote[4055].start 15093.65534375
transcript.pyannote[4055].end 15100.57409375
transcript.whisperx[0].start 51.556
transcript.whisperx[0].end 54.104
transcript.whisperx[0].text 谢谢大家
transcript.whisperx[1].start 113.712
transcript.whisperx[1].end 114.528
transcript.whisperx[1].text 谢谢观看 欢迎订阅我的频道
transcript.whisperx[2].start 161.664
transcript.whisperx[2].end 163.404
transcript.whisperx[2].text MING PAO CANADA // MING PAO TORONTO
transcript.whisperx[3].start 496.817
transcript.whisperx[3].end 521.903
transcript.whisperx[3].text 響鐘
transcript.whisperx[4].start 577.932
transcript.whisperx[4].end 583.404
transcript.whisperx[4].text 谢谢观看 欢迎订阅
transcript.whisperx[5].start 735.452
transcript.whisperx[5].end 748.456
transcript.whisperx[5].text 響鐘
transcript.whisperx[6].start 1055.154
transcript.whisperx[6].end 1055.235
transcript.whisperx[6].text 谢谢观看
transcript.whisperx[7].start 1245.048
transcript.whisperx[7].end 1252.27
transcript.whisperx[7].text 好現在開會請主秘報告出席人數報告委員會出席委員10人以足法定人數
transcript.whisperx[8].start 1256.541
transcript.whisperx[8].end 1280.401
transcript.whisperx[8].text 現在開會進行報導事項請宣讀上次會議議事錄立法院第十一屆第五會期經濟委員會第十三次選舉委員會議事錄時間115年5月11日星期一9時至11時32分地點黃樓101會議室主席委員張嘉斌等11人請教委員3人練習委員賴慧玲等10人練習人員經濟部部長龔明星等主席招集委員邱志偉
transcript.whisperx[9].start 1281.061
transcript.whisperx[9].end 1300.984
transcript.whisperx[9].text 報告事項宣讀上次會議事錄決定確定台灣事項審查115年度中央政府總預算案附屬單位預算營業部分關於經濟部主管台灣中油股份緯線公司台灣自來水股份緯線公司經濟部部長龔明新台灣中油股份緯線公司董事長方正仁總經理張敏台灣自來水股份緯線公司董事長
transcript.whisperx[10].start 1301.505
transcript.whisperx[10].end 1315.755
transcript.whisperx[10].text 在李嘉隆及總經理李丁來報告後委員賴慧洋等12人提出質詢經由經濟部部長龔明星等即席答覆登記發言人除不在場者外區域均勻發言完畢 訊打結束委員何新淳 張家俊 徐欣穎
transcript.whisperx[11].start 1316.996
transcript.whisperx[11].end 1331.322
transcript.whisperx[11].text 楊瓊英及陳昭明所提書面質詢列入記錄看通公報書面質詢和未及答覆部分請相關單位於一週內以書面答覆並複製本會委員立委要求極限者從即鎖定決議詢答結束令定期進行審查散會宣布完畢
transcript.whisperx[12].start 1340.663
transcript.whisperx[12].end 1363.555
transcript.whisperx[12].text 現在我們繼續進行討論事項請宣讀討論事項審查115年度中央政府總預算案附屬單位預算營業部分關於經濟部主管台灣電力股份衛生公司台灣糖業股份衛生公司宣傳筆好那我現在稍微介紹一下今天大廠的一個部會首長首先我們這個經濟部部長龔明星工部長
transcript.whisperx[13].start 1366.533
transcript.whisperx[13].end 1383.63
transcript.whisperx[13].text 台電公司董事長曾文森台電公司總經理郭天和在台灣糖業股份有限公司董事長吳明昌行政院主計總處基金預算處科長王佩珊
transcript.whisperx[14].start 1392.038
transcript.whisperx[14].end 1408.804
transcript.whisperx[14].text 本日議程排定審查115年度中央政府總預算案附屬單位預算營業部分關於經濟部主管台灣電力股份有限公司台灣糖業股份有限公司首先我們請經濟部公民先部長報告
transcript.whisperx[15].start 1418.781
transcript.whisperx[15].end 1438.766
transcript.whisperx[15].text 主席各位委員大家好那大院今天審查本部所屬的台電公司跟台南公司115年度的預算那本人就該兩公司115年的預算重點提出報告敬請各位委員不吝指教那首先是在台電公司的部分
transcript.whisperx[16].start 1440.066
transcript.whisperx[16].end 1467.8
transcript.whisperx[16].text 那台電公司主要重要的業務包括以下幾項第一項是穩定供電的前提下我們也積極推動淨零轉型的工程那這個部分我們可以從三個部分供給面還有電網的部分需求面三個面向來跟各位做一些說明首先在供給面部分呢我們會進行多元能源的開發跟準備那持續的新增
transcript.whisperx[17].start 1468.76
transcript.whisperx[17].end 1493.453
transcript.whisperx[17].text 燃氣的機組115年到123年的時候呢燃氣機組預計會淨增加大概1820萬千瓦其中興達跟台中各有兩部機組今年就會並聯上線那有關於自有的再生能源的部分呢綠能預期在116年度就可以來完工
transcript.whisperx[18].start 1494.69
transcript.whisperx[18].end 1512.532
transcript.whisperx[18].text 另外有關於推動河南安檢的部分今年度3月27號已經提交了河山的再運轉計畫到河岸位去做審查第二部分有關於電網面的部分台電公司會持續的強化電網的韌性跟提升電網的體質
transcript.whisperx[19].start 1515.573
transcript.whisperx[19].end 1531.392
transcript.whisperx[19].text 其中有關於輸電的部分,針對產業園區跟綠能分散供電也會進行的改善工程在配電的部分,會持續進行配電系統五年的升級計畫預計116年度會完成相關的改善作業
transcript.whisperx[20].start 1536.192
transcript.whisperx[20].end 1548.483
transcript.whisperx[20].text 第三部分有關於在需求面的部分台電公司會精進需求面來管理與落實深度節能的部分持續的精進需求面的管理的措施那
transcript.whisperx[21].start 1549.709
transcript.whisperx[21].end 1564.261
transcript.whisperx[21].text 計畫在116年度的目標設定是要達成節電206億度另外因應再生能源的發展也會調整有關於離峰跟尖峰的時間電價的一些相關設計
transcript.whisperx[22].start 1567.761
transcript.whisperx[22].end 1586.732
transcript.whisperx[22].text 田田公司的第二項重大的業務是要確保財務穩健,使得持續推動各項重大的電力設備為了穩定物價跟照顧民生,田田公司主動吸收了大部分民生用電的漲幅
transcript.whisperx[23].start 1587.452
transcript.whisperx[23].end 1607.615
transcript.whisperx[23].text 那截至今年的3月底還有累計虧損大概3571億元左右那為了確保財務的穩健呢經濟部也會責成台南公司積極的開展各項的開源結合相關措施那這樣的挑戰當然我們也會適時的向行政院來做反應
transcript.whisperx[24].start 1609.127
transcript.whisperx[24].end 1636.38
transcript.whisperx[24].text 那第二項是有關於營業收支跟盈虧的狀況115年度的預算邊列收入大概1兆23億多元支出大概是1兆303億左右那本期的淨損規劃是208億左右主要是因為115年度預估的電價沒有足而反映成本所產生的
transcript.whisperx[25].start 1637.421
transcript.whisperx[25].end 1663.568
transcript.whisperx[25].text 那第三是有關於投資計畫跟資金來源的部分115年度編列的構建固定資產投資大概是2611億左右那其中專案的計畫編列了1369億左右那資金來源除了這個667億左右是有自有資金之外其他大概1944億是舉借
transcript.whisperx[26].start 1667.659
transcript.whisperx[26].end 1692.65
transcript.whisperx[26].text 那第二部分是有關於台糖公司的部分那台糖公司的部分呢重要的業務措施呢有以下第一項是有關於穩定民生物價的部分那台糖公司呢除了持續的動廠砂糖還有沙拉油的銷售之外呢也配合了農業部防範非洲豬瘟還有其他的這個防禦措施來減輕民眾的這個負擔
transcript.whisperx[27].start 1695.851
transcript.whisperx[27].end 1714.583
transcript.whisperx[27].text 那第二大項是有關於擴大綠能的供應那台台公司也會持續的配合政策上的盤點建置太陽能光電實施的這個潛力的長子另外為了滿足國內中小企業的綠電需求規劃保留的部分暗場來支持
transcript.whisperx[28].start 1716.144
transcript.whisperx[28].end 1734.511
transcript.whisperx[28].text 第三部分是提供產業公共政策的用地為了因應產業發展所需還有配合國家政策台南公司提供了產業園區、科學園區、社會住宅、長照機構還有其他的公共建設所需要的土地
transcript.whisperx[29].start 1736.028
transcript.whisperx[29].end 1751.523
transcript.whisperx[29].text 第四大項是持續的提升核心事業的競爭力滾動式的調整經營策略擬定各項事業的發展目標跟策略力行目標管理並迅速完成專案計畫提升核心事業的競爭力
transcript.whisperx[30].start 1753.665
transcript.whisperx[30].end 1775.915
transcript.whisperx[30].text 第二個部分是有關於營業收支跟盈虧的部分115年度的預算編列是367億左右支出是308億左右本期有淨利59億左右較114年度的淨利56億有增加2億多主要的原因是因為投資性不動產淨利增加所示
transcript.whisperx[31].start 1776.875
transcript.whisperx[31].end 1795.808
transcript.whisperx[31].text 那第三個是有關於投資計畫跟資金來源那115年度徵購的這個固定資產設備的部分大概是10億元左右那其中專案計畫大概2億多那資金來源呢大概全部是自有資金來支應所以就不用借款
transcript.whisperx[32].start 1796.943
transcript.whisperx[32].end 1818.623
transcript.whisperx[32].text 那有關於台電跟台糖公司115年度的計劃跟預算的詳細狀況等一下會由各該公司的負責人來進行報告以上報告敬祝各位身體健康 主持順利 謝謝好 謝謝工部長接下來我請這個台灣電力公司董事長曾文森報告時間6分鐘 謝謝
transcript.whisperx[33].start 1822.258
transcript.whisperx[33].end 1839.892
transcript.whisperx[33].text 主席各位委員大家早安今天很榮幸能夠來這邊報告台電公司115年度的預算那以下僅就六個面向來跟各位說明台電公司的經營快況首先在確保穩定供電強化電網韌性的方面台電公司會持續強化推動維護
transcript.whisperx[34].start 1842.013
transcript.whisperx[34].end 1863.253
transcript.whisperx[34].text 維護跟風險管理,除了每日的掌握基礎運轉狀況以外也會滾動檢討靈活調整稅休時的時程,配合負載的變化另外透過事故案例弱點分析跟跨場的經驗交流精進預防性的一些維護工作加強監控系統以提前預警異常確保供電端的穩定及可靠性
transcript.whisperx[35].start 1863.934
transcript.whisperx[35].end 1877.803
transcript.whisperx[35].text 那同時我們也會透過電力交易平台擴大電力的供給促進能源多元化將分散的民間電力資源納入市場的整合調度共同強化電力系統的穩定那在強化電網韌性的方面台電現在正在進行強化電網韌性的建設計畫那優先針對產業園區等關鍵區域跟民生相關工程進行改善
transcript.whisperx[36].start 1886.809
transcript.whisperx[36].end 1913.063
transcript.whisperx[36].text 確保重要基礎設施的供電穩定同時推動二次變電所跟配電線路設備的預防維護檢測跟汰換我們也會建置比較先進的配電管理系統等措施全面提升配電系統的可靠度並進一步強化電能管理系統以提升區域調度中心自動化跟智慧化監控透過各個層面的全面改善打造穩固的電網
transcript.whisperx[37].start 1914.904
transcript.whisperx[37].end 1929.535
transcript.whisperx[37].text 那在第二個部分是有關於提升用戶服務跟經濟需求管理那台電運用智慧電表來分析用電的數據那為不同類型的用戶量身提供服務透過建置高壓用戶服務入口網站
transcript.whisperx[38].start 1930.075
transcript.whisperx[38].end 1957.316
transcript.whisperx[38].text 還有台灣電力APP以及電子商單系統服務等資訊服務提高高低壓用戶精準掌握用電的狀況並配合數位轉型跟AI的應用發展我們也打造了我們的智能AI客服那在可以24小時即時提供電費繳納的一些相當狀況停負電查詢反詐騙宣導等等資訊那解答用戶的用電大小是使電力服務更智慧化及時化
transcript.whisperx[39].start 1958.197
transcript.whisperx[39].end 1977.717
transcript.whisperx[39].text 那經濟需求管理的部分呢我們會持續推動虛量反映易低尖峰那同時也響應那個深度節能的政策台電公司以公營事業跟大型醫療院所來帶頭落實那同時台電公司本身也選定了六個示範場域陸續推動節能改善的工作
transcript.whisperx[40].start 1978.479
transcript.whisperx[40].end 2006.775
transcript.whisperx[40].text 那第三個部分是精進調適而作為邁向淨零的目標那台電公司為了要有效的因應極端氣候災害風險天災來臨前我們會依照氣象署預報來評估整個轄區的潛在風險也會提前擬定因應的計畫加強改善蘇便電設備的弱點例如防煙跟邊坡的維護那同時也會推動防災任性線路的遷改跟架空線的加固措施
transcript.whisperx[41].start 2007.535
transcript.whisperx[41].end 2032.894
transcript.whisperx[41].text 那为避免雷害引起的变电所灾害所以我们也检讨了苏电线路的全设计同时纳入雷害防治的管理计划努力提升电网抗灾的能力建立灾害预警的机制跟应变机制那配合进行转型的部分台电公司在供给面电网面跟需求面三个方面整体的规划那除了持续扩大部件成熟的绿能
transcript.whisperx[42].start 2033.454
transcript.whisperx[42].end 2056.902
transcript.whisperx[42].text 也建構了地熱的合作平台我們會跟民間自有暗場能夠大幅度的合作那也透過燃氣的橋接規劃新建低碳高效率的燃氣基礎來代替燃煤那此外台電公司也規劃提早佈局投入新的一些淨零能源包含氫能、氨能、混燒、捕捉
transcript.whisperx[43].start 2057.402
transcript.whisperx[43].end 2076.466
transcript.whisperx[43].text 等前瞻技術的研發跟示範建立多元穩定的低碳電力結構以達成淨零碳排的目標同時我們也在進行就是去年修法之後現在我們的核能電廠也在進行相關的安檢工作第四個部分導入數位科技擴大數位應用依據數位
transcript.whisperx[44].start 2079.347
transcript.whisperx[44].end 2098.275
transcript.whisperx[44].text 發展的策略藍圖台電公司持續強化數位羈盤跟推動數位應用在基礎建設方面已經建置了雲端資料的中心那也部署低端的AI運算資源來支援數據跟AI發展的需求同時我們也推動我們自己的資料治理跟強化治安的防護
transcript.whisperx[45].start 2099.055
transcript.whisperx[45].end 2114.602
transcript.whisperx[45].text 打造可靠的數位機盤在應用上面台電會持續導入新的一些數位技術AI技術來在我們的核心應用方面來優化各種用戶的體驗服務以及增加我們的運營效能第五個部分
transcript.whisperx[46].start 2115.382
transcript.whisperx[46].end 2128.125
transcript.whisperx[46].text 在提升經營績效的部分我們會力求財務的穩健因為台電公司是國營事業我們肩負穩定供電跟照顧民生的政策使命我們除了持續開發電源以外我們也會積極的開源節流讓台電的財務更加穩定同時也能夠達到穩定物價的目標
transcript.whisperx[47].start 2138.007
transcript.whisperx[47].end 2153.062
transcript.whisperx[47].text 那第六個部分是完善永續治理優化人力的價值那台南公司這幾年其實經過大幅度的人力的更替我們現在的平均年齡大概只有42歲那這一個部分人力未來的積極的延攬
transcript.whisperx[48].start 2155.384
transcript.whisperx[48].end 2170.934
transcript.whisperx[48].text 關鍵的電業人才聚焦各項專業訓練培養應變能力因應快速的變化環境那是我們接下來要緊迫推動的一些工作那我們也希望我們這些有關於人才養成的一些工作除了台電公司本身以外
transcript.whisperx[49].start 2171.514
transcript.whisperx[49].end 2193.692
transcript.whisperx[49].text 用戶端的一些電器人員也能夠跟台電有更多的一些經驗交流互動達成我們整個電網穩定的目標以上是台電公司115年度重要經營管理概況敬請各位委員支持指教 謝謝好 謝謝曾董事長接下來我們有請台灣電力股份公司總經理郭天和報告時間4分鐘
transcript.whisperx[50].start 2201.196
transcript.whisperx[50].end 2223.243
transcript.whisperx[50].text 主席 各位委員 今天新房大院審查台電115年度營業預算天河北列席報告自感榮幸僅將台電公司114年度預算執行情形及115年度營業預算內容檢要的報告如後 敬請指教與支持
transcript.whisperx[51].start 2224.824
transcript.whisperx[51].end 2236.452
transcript.whisperx[51].text 第一項114年年度預算執行情形產銷的情形跟收支盈虧的情形首先產銷的情形供電量114年度供電量為2537億度
transcript.whisperx[52].start 2242.036
transcript.whisperx[52].end 2245.238
transcript.whisperx[52].text 達全年預算2,607億度之97%受電量114年度受電量為2,390億度達全年預算2,450億度之98%
transcript.whisperx[53].start 2260.216
transcript.whisperx[53].end 2274.405
transcript.whisperx[53].text 第二收支盈虧的狀態114年度受惠國際燃料價格趨緩及業外進收增加台電公司轉虧為盈稅前盡力739億彌補以前累積虧損後到114年底能有虧損3529億待彌補
transcript.whisperx[54].start 2285.919
transcript.whisperx[54].end 2292.645
transcript.whisperx[54].text 接下來是115年度預算編列狀情形主要產銷的營運目標分為兩種計劃銷售數量115年計劃銷售量為2461度較114年度以下減成上年度
transcript.whisperx[55].start 2307.399
transcript.whisperx[55].end 2315.642
transcript.whisperx[55].text 預算受電量2450億度增加10億度系考量預估經濟狀況配合用電需求估編計劃生產數量115年度計劃供電量為2688億度較上年度預算供電量2607億度增加81億度系配合受電量需求的一個估編
transcript.whisperx[56].start 2336.169
transcript.whisperx[56].end 2342.053
transcript.whisperx[56].text 那營業收支及營餘之估計115年度的預算總收入為1兆24億總支出為1兆304億收支相抵後預算稅前虧損280億元較上年度虧損704億元
transcript.whisperx[57].start 2359.903
transcript.whisperx[57].end 2372.332
transcript.whisperx[57].text 虧損減少424億元主要預估平均售電單價增加電費收入增加以及燃料購電支出增加增減戶底所致
transcript.whisperx[58].start 2373.479
transcript.whisperx[58].end 2384.025
transcript.whisperx[58].text 台電公司為配合經濟發展政府政策及用電需求持續開發電源及進行電網投資115年度固定資產投資共投資2611億元包括專案計畫1369億元一般建築及設備計畫1242億元115年度台電公司擬舉
transcript.whisperx[59].start 2401.932
transcript.whisperx[59].end 2412.066
transcript.whisperx[59].text 支長期借款2166億元市支應固定資產建設改良擴充及借款還本之用另預計還本1374億元
transcript.whisperx[60].start 2417.909
transcript.whisperx[60].end 2438.807
transcript.whisperx[60].text 結與台電公司身為國營企業捐護穩定供電及照顧民生政策使命持續開發電源精進電網韌性及靈活調度加強需求面的管理以因應逐年成長的電力需求之外同時兼顧能源轉型及淨零排放的永續目標
transcript.whisperx[61].start 2440.648
transcript.whisperx[61].end 2460.714
transcript.whisperx[61].text 將從供給面、電網面及需求面推動淨零排放達到穩定供電跟永續之間的平衡台電公司業務承蒙各委員鼎力支持,得以順利推展藉此機會深緻謝誠,今後仍請多示教與支持,使電力經營不斷精進
transcript.whisperx[62].start 2463.952
transcript.whisperx[62].end 2479.528
transcript.whisperx[62].text 穩定經濟增進全民福祉貢獻權利以上報告敬請各位委員支持與指教好謝謝郭總經理那接下來請台灣唐業股份委員公司董事長吳明昌報告6分鐘謝謝
transcript.whisperx[63].start 2486.316
transcript.whisperx[63].end 2508.424
transcript.whisperx[63].text 主席 部長 各位委員 各位先進 大家早安當然今天審查台南公司115年度的營業預算本人有機會就公司114年度經營狀況向貴委員提出報告 自感榮幸那台南公司所經營的4月金屬完全競爭的市場
transcript.whisperx[64].start 2510.609
transcript.whisperx[64].end 2535.359
transcript.whisperx[64].text 再進入配合政府政策穩定國內民生物價方面各市位的經營備受挑戰但是為了因應環境的變化台南公司持續精進各市位發展的目標以策略落實績效跟品質管理以提升整體競爭力跟市位營運的績效那近幾年來台南公司經營持續的獲利
transcript.whisperx[65].start 2538.857
transcript.whisperx[65].end 2567.515
transcript.whisperx[65].text 就114年度經營概望跟各位說第一個就配合政府政策穩定物價包括砂油3公升的從99年12月31號到現在都沒有調漲價格那1公斤的小包裝的砂糖從106年到現在每公斤36塊當然糖還有其他的也都沒有漲價所以我們建屋的那個
transcript.whisperx[66].start 2568.627
transcript.whisperx[66].end 2592.243
transcript.whisperx[66].text 穩定物價的功能每人好幾億的虧損就用在穩定物價第二個配合農業部的養豬政策包括非洲豬瘟我們調整豬的供出以及不出去拍賣那另外一個我們也有台南密林便利超商
transcript.whisperx[67].start 2593.133
transcript.whisperx[67].end 2622.134
transcript.whisperx[67].text 設置那個平價專區第二個配合國家重大建設提供土地因應台商回流及配合政府政策發展近10年來提供24處的大概2000公頃的土地設置產業延期跟科學延期那從105年到7年提供6處土地大概4.5公頃左右從衛福部設置
transcript.whisperx[68].start 2624.316
transcript.whisperx[68].end 2639.989
transcript.whisperx[68].text 長道機構以及施棄出的土地超19公頃提供內政部跟地方政府興建社會住宅還有我們把ENIO的協定轉為社會住宅合計可貢獻26897間的住宿第三個重點是建設太陽光電協助綠電的發展
transcript.whisperx[69].start 2649.596
transcript.whisperx[69].end 2678.232
transcript.whisperx[69].text 那個到114連完成了554MW以後建置注射保險接種完成以後達到另外一個就是注射波紐1.66MW第四個是強化研究的發展比方說那個細節疫病的監控精準營養的調控還有續用防疫產品的開發那跟著多元化的利用
transcript.whisperx[70].start 2679.076
transcript.whisperx[70].end 2703.715
transcript.whisperx[70].text 那就是說這張畫面本來是廢棄物現在是副產物的利用我們開發成除錯稀油跟寵物用品受到很大的肯定另外一個稀木廢水跟自產廢水共處理的方式作為義肥減少化為食用跟增加水資源的再利用那另外還有發展土壤護灘的技術跟農田管理的模式
transcript.whisperx[71].start 2705.156
transcript.whisperx[71].end 2732.518
transcript.whisperx[71].text 第五個是推動淨零的排放此以執行製程改善跟設備更新設備以降低溫室氣體的排放量達到自主減量計畫的目標另外也基於推動的自然灘的發展在森林灘方面那著手相當多跟公司部員的合作那在湖北塘場跟山大塘場都已經通過
transcript.whisperx[72].start 2733.59
transcript.whisperx[72].end 2751.403
transcript.whisperx[72].text 國家能源再生憑證中心的審查取得再生能源的憑證那每人大概可以有8500張的再生能源憑證那我們在加油站方面也設立了太陽能關鍵系統電動機車電池的換電站還有自動
transcript.whisperx[73].start 2757.932
transcript.whisperx[73].end 2781.583
transcript.whisperx[73].text 那個充電窗而且已經開始營運了另外我們對於文化資產的呼喚也相當的積極台南公司致力辦理唐業文化資產修復跟再利用並以在地的聯路歷史跟空間的那個鏈接重新喚醒就台南新動能及歷史的價值還有跟國家圖書館簽訂了
transcript.whisperx[74].start 2784.861
transcript.whisperx[74].end 2806.113
transcript.whisperx[74].text 文獻資料數位化合作的那個協議書 另外一個包括其他的重要項目 比方說去年花蓮馬灘的事件 我們花蓮馬灘發揮很大的功效 包括救災指揮中心救急站 機器
transcript.whisperx[75].start 2808.157
transcript.whisperx[75].end 2834.754
transcript.whisperx[75].text 物資跟清儲方面連員住宿還有免費加油等等之類的當然後來行政院給我們就是說一些那個補貼補償那另外一個土地的利用給他們在馬來西亞方面受到影響的我們的做一些support那另外一個非常有名的日本蘋果糖的業者
transcript.whisperx[76].start 2838.72
transcript.whisperx[76].end 2866.77
transcript.whisperx[76].text 他試了全世界100多個糖,結果認為台糖的糖是他所需要的因為他風味相當好,另外我們一些那個PD的那個研華配合SDG的發展還有甘蔗做濃郁藍芒酒都有非常好的績效齁那這個是跟各位先進報告台糖在
transcript.whisperx[77].start 2868.027
transcript.whisperx[77].end 2885.72
transcript.whisperx[77].text 一樣做得經營的方式 謝謝各位好 謝謝吳董事長現在出席人數達這個三人請問各位同仁上次會議是有無錯誤沒有那議事錄確定
transcript.whisperx[78].start 2889.414
transcript.whisperx[78].end 2912.703
transcript.whisperx[78].text 有關本次會議各部會所提的書面報告請委員自行參閱並刊登公報現在進行詢答委員執行權原律做以下宣告第一每位委員的發言時間本會委員6分鐘必要時的延長2分鐘非本會委員5分鐘第二上午12點零分截止發言登記首先請登記第一位的邱毅穎委員發言
transcript.whisperx[79].start 2922.544
transcript.whisperx[79].end 2925.548
transcript.whisperx[79].text 謝謝主席 我請一下台電董事長請台電董事長
transcript.whisperx[80].start 2932.57
transcript.whisperx[80].end 2961.729
transcript.whisperx[80].text 董事長早董事長早董事長我想最近你們有一個事件很紅這個台電的Logo的設計的問題那其實我覺得台電是一個公務機關你們推動這些美學進步這個Logo其實已經很多年了那把它稍微做一些優化透過主改的這個時間去做優化其實我認為這是合理的也是正常的
transcript.whisperx[81].start 2962.249
transcript.whisperx[81].end 2990.239
transcript.whisperx[81].text 可是我不知道台電你們在怕什麼為什麼怕被大家知道然後在網路上引起廣泛的討論台電才開始出來說明啊董事長我給你一分鐘的時間你把這個過程簡單說明一下好不好好跟委員報告我想首先要說明一件事就是說這個LOGO的調整的時間是在2023年的第十幾月九月份那成案的時候其實我那時候還是代理董事長
transcript.whisperx[82].start 2991.257
transcript.whisperx[82].end 3014.395
transcript.whisperx[82].text 那我簡單來講這個基本上是經濟部所有的攤位因為經濟部改組我們改組的拖了非常的久最後終於通過然後我們也開始進行了一些整個包括有些單位更名那也做一些識別系統的一些優化的一些工作所以它其實在2023年9月就成案的一個事情那成案的當時事實上
transcript.whisperx[83].start 3015.316
transcript.whisperx[83].end 3034.987
transcript.whisperx[83].text 我們的當時的總經理王耀廷其實在上面也批示了就是他認為說主要是我們這些LOGO的調整不需要浪費不需要多花費工廠可以先從軟性跟印刷品啟動意思就是說這些本來就要做的事在LOGO上面可能可以做一些調整
transcript.whisperx[84].start 3036.428
transcript.whisperx[84].end 3043.472
transcript.whisperx[84].text 那一直到2024年我們才知道已經發報完成了那有新的作品出來我們才開始參與討論到2024年的時候簡單報告一下我覺得這裡面真的也有一些世代的差異我們這裡總經理當事長還有副總的
transcript.whisperx[85].start 3054.398
transcript.whisperx[85].end 3072.641
transcript.whisperx[85].text 連這個老牌都領了不需要蓋啦都走啦 我們不說了你們都走讓我委員買啦但是你們不知道現在時代在進步其實台電的那個這樣那個已經跟時代已經完全不符合了我們是比較保守一點的 董事長我簡單講啦就是說對於這件事情
transcript.whisperx[86].start 3073.522
transcript.whisperx[86].end 3091.673
transcript.whisperx[86].text 我不會苛責你們但我覺得台電你去優化不管是你的服務你的Logo提倡美學其實你最應該要優化的是你的電網的韌性當然這個事情你們持續在做所以我覺得這一件事情老實講你們根本不用害怕
transcript.whisperx[87].start 3092.673
transcript.whisperx[87].end 3113.768
transcript.whisperx[87].text 甚至我聽到今天說什麼中油因為這樣子所以中油的LOGO優化要暫緩我都覺得你們行得正坐得直其實都不要怕人家這個指責這個罵你們就停下來那個罵你們也停下來那你們到底怎麼做事情啊好來講到電網優化其實這個事情我認為就這樣過去我也不想不會跟你花太多時間在這個討論上面
transcript.whisperx[88].start 3116.345
transcript.whisperx[88].end 3131.836
transcript.whisperx[88].text 董事長我要跟你強調過去我們曾經討論過微電網的韌性這件事情你應該還記得吧那我也希望台電能夠給我一些你們在做微電網韌性這件事情上面的進度這個呢是
transcript.whisperx[89].start 3133.177
transcript.whisperx[89].end 3154.712
transcript.whisperx[89].text 我查到了這個資料你們台電的鳳山宿舍在108年開始你們就有一個所謂的規劃展示屋以低碳節能為主軸你們去把你們的宿舍做這樣的改進那當時其實我記得是去年本席在這邊也跟您談到我們在山上偏遠的部落偏遠的山上是不是也能夠來創造這樣的一個微電網
transcript.whisperx[90].start 3157.494
transcript.whisperx[90].end 3175.661
transcript.whisperx[90].text 創造這樣的一個所謂的低碳節能除電設備系統讓山上部落遇到颱風刮風下雨電線斷裂的時候其實他不會有受到停電的危險我不知道在這件事情上面台電的進度是如何我一直在回想您曾經在這裡回答說你住的宿舍啊
transcript.whisperx[91].start 3176.041
transcript.whisperx[91].end 3202.397
transcript.whisperx[91].text 你不敢開冷氣因為冷氣太老舊所以你還是吹電扇請問一下你到現在還是吹電扇嗎你們台電的冷氣設備你們的相關節能設備有沒有做精進那個我跟委員報告一下這個要說一下就因為台電的宿舍都有一些歷史董事長宿舍有一些歷史所以它其實是密封性沒有那麼好啦但是冷氣台電一定是會把冷氣都換變平這個都是會換比較高效
transcript.whisperx[92].start 3204.778
transcript.whisperx[92].end 3232.786
transcript.whisperx[92].text 我只是覺得說董事長的用電一定會被注意所以我那時候就覺得說我如果溫度OK的話就是開我就開電網站就可以但是還是會有開冷氣不是因為冷氣太老舊不是不是不是而是因為你要節電對它那個都是變頻的你提倡節電這是一個好事情好那你告訴我你的所謂的韌性電網這件事情的進度到哪裡我跟委員報告就是韌性電網它其實是做高壓特高壓高壓跟一般的都在做同時在進行
transcript.whisperx[93].start 3233.826
transcript.whisperx[93].end 3255.279
transcript.whisperx[93].text 那簡單來講就是特高壓的就是工產業園區還有一些我們節點瓶頸要打開的現在這個進度上面都有On ScheduleOn Schedule是大概現在的普及率或者是進度到什麼樣的程度我們依照我們的計畫來講我們改的那些重要的高壓的部分還有它那個就是
transcript.whisperx[94].start 3256.319
transcript.whisperx[94].end 3278.387
transcript.whisperx[94].text 透過電液 保護電液來讓它分散的這些工作 大致上已經做了一個段落現在都要新增電網 新增電網的事情都在做那這個部分有兩個事 第一個事是我們這兩年都拿到因為丹拉斯颱風而取得的特別預算我們再加速做一些必要地區的地下化工程
transcript.whisperx[95].start 3279.207
transcript.whisperx[95].end 3293.007
transcript.whisperx[95].text 我關心的這個部分你們可不可以給我一個比較完整的報告沒問題就是有哪幾個地方尤其是偏遠地區的孤島電網我們會來做韌性電網其實還有另外一個是我也一直提到的電感地下化這個我要請台電董事長一併上來
transcript.whisperx[96].start 3294.887
transcript.whisperx[96].end 3316.037
transcript.whisperx[96].text 台棠台棠對不起台棠吳董事長來這兩位董事長你們看一下這個是在高速公路國道10號下來手巾寮這一段國時的尾端過去呢台棠在這裡種樹成林左邊是他以前的照片右邊呢是他現在的照片
transcript.whisperx[97].start 3316.957
transcript.whisperx[97].end 3344.207
transcript.whisperx[97].text 台糖呢要砍這些樹的時候發了一個很小的公告就貼在樹旁邊他說因為颱風來呢會打斷會把造成電線勾斷造成停電所以他要抒發第一排的樹木結果變成這樣部長你也請看一下笨拙這樣啦不是第一排的樹木啊那些樹全部被砍光光截切之後台糖拿去賣錢
transcript.whisperx[98].start 3345.916
transcript.whisperx[98].end 3364.813
transcript.whisperx[98].text 好那這件事情被我發現之後呢當然台糖董事長被我臭罵了一頓臭罵了一頓之後台糖做什麼事我要求把樹種回來第二個我要求台糖跟台電現在要去立刻研議這一段路段的電感地下化電纜地下化的問題
transcript.whisperx[99].start 3367.363
transcript.whisperx[99].end 3386.632
transcript.whisperx[99].text 後來台電告訴我你們有在規劃我現在要講的就是說我能不能請台電加快速度去把這一段的電線地下化去把它做好第二個台糖因為我的要求要把樹種回來所以台糖本來下個月又要再把樹種上去了
transcript.whisperx[100].start 3387.592
transcript.whisperx[100].end 3406.719
transcript.whisperx[100].text 我說你們台塘是不是腦子有一點問題如果電線要地下化你是不是應該讓電線地下化的工程趕快進行完之後你才把樹種上去結果你們因為立法委要求你把樹種上去所以你們不分青紅皂白也不管三七二十一現在又要再把樹種上去那如果到時候台電要做工程的話你樹要再砍一次
transcript.whisperx[101].start 3408.855
transcript.whisperx[101].end 3436.274
transcript.whisperx[101].text 這我就覺得你們這個公務單位兩個單位都沒有在做溝通協調這個曾董事長這一段的電線地下化能不能立刻去進行加速去進行包委員我們會跟我們一定會跟台檔合作就是說儘快的我們先加速進行讓這邊的職債能夠恢復我想說那個我會請我們的同仁先處理這一塊好謝謝好來那個台電曾董事長請回好那個吳董事長我接下來要跟您請教第二個問題
transcript.whisperx[102].start 3437.234
transcript.whisperx[102].end 3458.071
transcript.whisperx[102].text 剛剛那個之前我已經跟你討論過了綠樹成林 你好不容易種了30年的樹 種得這麼漂亮然後被你們一夕之間砍光光我現在要跟你談到 您接受訪問的時候呢說你們台塘現在賺錢了 你來了一年以後台塘開始賺錢那我不知道你的賺錢 你賺的錢是賺什麼樣的錢你剛剛的報告裡面你的本業還是虧損
transcript.whisperx[103].start 3463.495
transcript.whisperx[103].end 3491.494
transcript.whisperx[103].text 所以你賺的錢是什麼 是你的土地出租出去 做開發 開發做科學園區用土地的租金收入來賺錢嘛 對不對那你有很多的休閒園區嘛 對不對好 你的休閒園區 我現在跟你談一個橋頭的休閒園區董事長 這個是我們九阿島的小烤肉區啦我不知道你們這是活在什麼時代的人啊烤肉區上面呢 蓋了一 種了一大堆這種洋傘
transcript.whisperx[104].start 3493.351
transcript.whisperx[104].end 3510.402
transcript.whisperx[104].text 陽傘很低然後你在下面烤肉那個煙根本擴散不出去密密麻麻的陽傘在下面烤肉的人叫做慢性中毒因為所有的煙全部被他的肺吸進去了旁邊也沒有水源那烤肉架全部生鏽
transcript.whisperx[105].start 3512.366
transcript.whisperx[105].end 3524.111
transcript.whisperx[105].text 那你們台塘也不管 廁所也老舊臭得要死 台塘也不管反正你照樣收錢 你照樣出租出去還是會有人來租 還是會有人來用剛才你覺得去過嗎 我不去你不去嗎 你覺得去那裡購物過嗎 我不去那裡購物過你不去那裡購物過 你覺得那裡有什麼問題嗎
transcript.whisperx[106].start 3535.694
transcript.whisperx[106].end 3552.242
transcript.whisperx[106].text 因為沒有那個地方啦這樣你來做一年 你也很多地方還沒蓋嘛我跟委員報告我可能是所有當事人裡面 蓋過很多地方所有的那個你蓋過很多地方 我親自給你點一個腳踏 你就不蓋過了腳踏我沒有蓋過 我那兩三倍我現在要說的就是說你不要跟我說你們台湯現在多賺錢 多賺錢你既有的設備
transcript.whisperx[107].start 3559.065
transcript.whisperx[107].end 3575.284
transcript.whisperx[107].text 你的休閒園區 你若要推薦休閒園區 麻煩你跟著時代進步一點低碳節能 你的報告也在寫但是你們自己的烤肉區 一點都不低碳 一點都不節能還製造環境污染 還讓去參加烤肉的人慢性中毒
transcript.whisperx[108].start 3577.764
transcript.whisperx[108].end 3587.089
transcript.whisperx[108].text 這種設備齁 已經不是先進國家啦啊你做一個國營事業 應該要出頭嘛設備要改善就要改善嘛 要開錢就要開錢嘛好不好 這有辦法去改善嗎我委員報告齁 賺錢其實幾個人都賺錢啊這不就是幾年 賺這麼多這樣啦齁 這不是說我來這裡賺錢喔
transcript.whisperx[109].start 3597.754
transcript.whisperx[109].end 3607.621
transcript.whisperx[109].text 以前就有在賺錢了好那對於那個要不也不用解釋太多了你就去會堪滿足需求好不好OK好謝謝好謝謝邱議員委員好謝謝接下來我們有請陳廷飛委員質詢
transcript.whisperx[110].start 3625.612
transcript.whisperx[110].end 3647.204
transcript.whisperx[110].text 謝謝趙偉 我們是不是請台電董事長請台電董事長 曾董事長董事長 基本上我要延伸就是說韌性電纜它的重要性所以單納市之後說真的我們的特別預算也
transcript.whisperx[111].start 3647.824
transcript.whisperx[111].end 3647.964
transcript.whisperx[111].text 郭文貴議員
transcript.whisperx[112].start 3678.685
transcript.whisperx[112].end 3689.218
transcript.whisperx[112].text 我們如何讓台南人有信心說如果再一次丹納斯我們台南會有什麼樣的狀況
transcript.whisperx[113].start 3691.761
transcript.whisperx[113].end 3719.381
transcript.whisperx[113].text 來 董事長好 跟委員報告我們大家都不希望再有一次丹那斯但是天有不正風雲那我們其實台電一開始的規劃就是這樣其實我們針對台南當時在丹那斯颱風以後不管是樹木拉脫倒或是被風吹倒的電感其實我們都針對這些真的是相對比較脆弱的地方找一些工作的方法那有必要地下化的時間上也來得及的我們就會先做
transcript.whisperx[114].start 3720.422
transcript.whisperx[114].end 3734.194
transcript.whisperx[114].text 但是特別預算就兩年其實台電會用自己的預算後續的需要補強的會繼續做那短期也有一些部分我想說我們陳副總在他前幾天有到您辦公室去短期之內我們要立一些比較強的電感
transcript.whisperx[115].start 3736.276
transcript.whisperx[115].end 3745.887
transcript.whisperx[115].text 在中間做斷點不要讓他一段段一排這些工作我們也持續在做我想我們希望能夠再一次如果真人不信再一次遇到類似的風災我們台電電感導斷的不會這麼多那當然
transcript.whisperx[116].start 3751.273
transcript.whisperx[116].end 3775.969
transcript.whisperx[116].text 這裡面也要跟委員報告一下就是說剛才提到露宿的一些問題就是說我們單純抗風我們一定會做到那如果有露宿的問題需要地下化那我們會來地下化那當然露宿植栽的選擇很重要如果它容易搗斷它就會拖倒電線桿那這個部分最近包括4月30號那個氣候變遷委員會也在討論這件事所以我們會全面一併來做改善好 來董事長謝謝
transcript.whisperx[117].start 3777.91
transcript.whisperx[117].end 3800.48
transcript.whisperx[117].text 我拜託你們這整個規劃送一份針對丹納斯當時候的倒塌的一個改善狀況不論是我們該地下化的地下化該做一個所謂高價重要的一個連接點強化性的你把這些送一份到我辦公室來我們希望
transcript.whisperx[118].start 3801.3
transcript.whisperx[118].end 3823.822
transcript.whisperx[118].text 我們的重點是不希望再有一個丹納斯可是如果有丹納斯來的時候我們也要萬全的準備我們可以應對 這才是對的所以再拜託董事長好 我們做一份之前導端的狀況跟未來我們想要怎麼做好 對 這個部分再拜託第二個部分就像剛剛董事長所說的
transcript.whisperx[119].start 3825.203
transcript.whisperx[119].end 3831.041
transcript.whisperx[119].text 我们露宿的问题我们不能因为露宿倒塌而相对影响到
transcript.whisperx[120].start 3832.065
transcript.whisperx[120].end 3861.765
transcript.whisperx[120].text 我們整個電線桿的一個運作狀況好這個就是我最近我們去看了山海峻濾道其實山海峻濾道我已經爭取了好多年我們從軍安路就是南側的部分軍安路幾乎都已經地下化了現在就是北側就是安通路的部分好那天我們去看完我們台電也做出了整個的規劃從我們的五段跟六段
transcript.whisperx[121].start 3862.425
transcript.whisperx[121].end 3878.672
transcript.whisperx[121].text 大概是一億我們現在也希望因為在台南的量能真的是太大了也就是當然是這一次我們中央要去支付台南的整個周邊的電纜韌性
transcript.whisperx[122].start 3881.433
transcript.whisperx[122].end 3905.55
transcript.whisperx[122].text 強度這個預算比較高所以我們也認為市政府也應該加入這個韌性的行列所以這個我要再次強調就是說我們為了要鼓勵所有的縣市要加入韌性我們是不是應該去思考我們的分攤比例
transcript.whisperx[123].start 3906.957
transcript.whisperx[123].end 3936.101
transcript.whisperx[123].text 也就是過去是五成比五成如果有願意就是說有縣市願意加入的我們可以以六四否則說真的縣市的預算沒有那麼多我覺得這個是可以在鼓勵縣市的部分那越多地方的預算加入的話其實也減緩了我們台電的壓力是不是這個部分我們可以用這樣的考慮
transcript.whisperx[124].start 3936.926
transcript.whisperx[124].end 3952.985
transcript.whisperx[124].text 我跟委員報告這個如果是補助的話就是一定是主計怎麼樣編這個錢嘛那我們知道現在財化法其實其實整個中央跟地方中間的現在所有的稅務其實有很大的調整
transcript.whisperx[125].start 3954.066
transcript.whisperx[125].end 3975.721
transcript.whisperx[125].text 那您提這個問題我不能夠在這邊答覆您因為這不是我能夠決定的當然我說我們是不是可以朝這個方向因為大家可能沒有感受到說丹納斯我們所承受的這種壓力所以這筆錢是不能省的可是當我如果真的要去編列這個預算我也不能排擠到地方的預算
transcript.whisperx[126].start 3976.041
transcript.whisperx[126].end 3983.774
transcript.whisperx[126].text 就跟委員報告就是說如果就是補助預算編了下來當然我們就照這個來執行這個應該是就是台電就是一定照著政策做
transcript.whisperx[127].start 3985.002
transcript.whisperx[127].end 4010.861
transcript.whisperx[127].text 我覺得我們一起來努力啦 部長我沒有請你上來但是部長我覺得這個部分你們在討論整個電能任性怎麼加強縣市政府加入這是一個誘因啊要不然你說以前就是55了那你現在要縣市政府加入你的誘因在哪裡我覺得我們可以做這樣的調整否則以前你們可以去看
transcript.whisperx[128].start 4012.365
transcript.whisperx[128].end 4019.151
transcript.whisperx[128].text 縣市政府在編這個配合 幾乎少之又少啦都是嘴巴開開 等你們中央
transcript.whisperx[129].start 4020.899
transcript.whisperx[129].end 4041.548
transcript.whisperx[129].text 給任何的資源下來其實很少比例很少所以我覺得這個部分可以中央地方一起參與才能增加我們的韌性的一個強度跟速度謝謝委員提醒了我想狀況是這樣就是那個丹納斯的那個兩年的預算我們趕快來執行因為其實他增加了非常多的工量
transcript.whisperx[130].start 4042.748
transcript.whisperx[130].end 4065.358
transcript.whisperx[130].text 我們做了以後整個狀況評估以後我覺得這個事情要檢討我想委員大概也可以來提出來一起做檢討那台電的狀況是這樣如果給我們足夠的支持我們能夠儘量做我們一定儘量做這個我有跟行政院院長報告我說因為可能大家都不在我們第一線那個丹娜絲真的讓我們嚇到了
transcript.whisperx[131].start 4066.601
transcript.whisperx[131].end 4076.066
transcript.whisperx[131].text 我們真的嚇到了所以我們希望有更多的力量來協助讓我們台南市民可以安心那我們請台堂的董事長謝謝台電董事長
transcript.whisperx[132].start 4081.82
transcript.whisperx[132].end 4101.295
transcript.whisperx[132].text 那個董事長兩個部分就是說我們現在你知道我一直在推這個唐鐵五分車唐鐵五分車現在有一個很重大的區塊就是我們的謝言台我也非常感謝終於有一點進度我們台唐願意
transcript.whisperx[133].start 4102.156
transcript.whisperx[133].end 4120.131
transcript.whisperx[133].text 自籌經費來協助卸研台的主體改善方案謝謝這個比我們以前撞牆總有一點進度了以前就是撞牆我們推到文化部推到市政府推來推去還好
transcript.whisperx[134].start 4121.962
transcript.whisperx[134].end 4149.384
transcript.whisperx[134].text 總與有一個進展所以謝謝我想這個部分我會請我們相關單位市政府還有台堂還有文化局文化部就謝顏台的一個價值還有我們國土署在謝顏台周邊的環境也有做了一筆核准1300萬所以我覺得我們要整體來探討怎麼做最好
transcript.whisperx[135].start 4149.904
transcript.whisperx[135].end 4174.341
transcript.whisperx[135].text 好 謝謝好 這個部分我對的我還是要跟你額落啦我們是非常用心賣一個東西賺一塊錢你看我們花了兩千萬要賺多少賣多少東西才可以賺到兩千萬所以我知道所以但是呢我必須說當這個台塘這個塘田五分車這個串聯起來把我們所有的亮點都做起來的時候
transcript.whisperx[136].start 4175.282
transcript.whisperx[136].end 4195.433
transcript.whisperx[136].text 我告訴你你們最優先會得到獲利的是哪裡你們的流銀你們流銀你們的飯店你們的飯店大家就想要去賺了你們就相對會有一個加成的效果然後另外一個部分就是說我們這個
transcript.whisperx[137].start 4198.354
transcript.whisperx[137].end 4216.363
transcript.whisperx[137].text 唐鐵的親子共融區我們目前已經辦理市府已經都跟公展兩個月五月份正式公展兩個月了那這個部分如果公展完之後可能後續的後續的部分就要拜託
transcript.whisperx[138].start 4217.779
transcript.whisperx[138].end 4234.491
transcript.whisperx[138].text 我們台堂積極跟我們師傅看怎麼去辦理招商我希望在這個區塊我一直強調的當我們這個新營糖廠親子科技共融區可以完成我告訴你我們的
transcript.whisperx[139].start 4235.728
transcript.whisperx[139].end 4250.919
transcript.whisperx[139].text 台糖絕對會受益不是跟你說的像董事長說我們一口一口這樣做但是我們要開這麼多沒有 開家可以相對的加成你們周邊的設備這才是重點
transcript.whisperx[140].start 4252.34
transcript.whisperx[140].end 4274.997
transcript.whisperx[140].text 謝謝所以我們一起加油啦齁這個部分再拜託時間幫我們盯住因為光從公展兩個月之後我們台糖還要同步洽市府研商辦理招商說明會這些相關的部分還要一段時間我希望是我們跟時間在賽跑我們歡迎積極的配合市政府來做相關的工作 謝謝好 謝謝陳廷輝委員 謝謝
transcript.whisperx[141].start 4281.564
transcript.whisperx[141].end 4300.314
transcript.whisperx[141].text 好 接下來我們有請鄭振淺委員質詢謝主席我想先請一下那個台堂有請台堂吳董事長
transcript.whisperx[142].start 4306.289
transcript.whisperx[142].end 4329.508
transcript.whisperx[142].text 今天因為我們是台電台糖的預算的部分糖的部分因為本來是屬於戰略物資本來是我們自給率本來是重要的事情可是我們看到我們國家糧食從1993年到現在的一個糧食自給率大幅的一個衰減大幅的一個衰減那對於糖的部分的時候我想問一下我們糖現在本身的自給率大概有多少
transcript.whisperx[143].start 4330.769
transcript.whisperx[143].end 4337.999
transcript.whisperx[143].text 大概我們自己種的甘蔗嗎對大概只有5%只有5%而已嗎OK那我們看到這整個狀態就是說就是
transcript.whisperx[144].start 4341.578
transcript.whisperx[144].end 4364.719
transcript.whisperx[144].text 糖的部分我們自覺大概只有5%,其他部分大概都是進口,那可能是進口原料或是進口成品,那都是佔的95%的部分。我跟委員報告,那個我們台糖是進口的那個sugar,我們是refine,所以品質是非常好的,那其他沒有其他廠商有進口,他們都這就精糖,但是
transcript.whisperx[145].start 4365.649
transcript.whisperx[145].end 4387.556
transcript.whisperx[145].text 那個Quality就沒有辦法控制了那因為我看到一個那個我們的數字就是說台糖自產的糖就是一公噸大概要虧損大概將近一萬四千五百塊左右啦那我在想說以我們現在每年大概有就是自己大概四萬噸的糖來講的時候我們大概每年會虧損大概五點
transcript.whisperx[146].start 4389.416
transcript.whisperx[146].end 4417.223
transcript.whisperx[146].text 8億、5、6億左右這樣的一個金額那以我們目前來看的時候喔115年度的時候我們連續幾年我們的整個執行數都是虧損的一個情況那今年編列的預算是1.46億那我們到年底的時候有可能可以打平嗎?這個部分跟委員報告 針對砂糖的部分跟委員報告但我們製糖的部分是虧損但是我們進口那個Crew的那個sugar refi的話因為品質很好算是那個
transcript.whisperx[147].start 4418.643
transcript.whisperx[147].end 4435.296
transcript.whisperx[147].text 很受消費者的喜歡我們那邊還是可以賺錢的那今年其實我們去年應該是差不多balance的去年就整個overall的那個去年差不多是balance的狀態是不是今年希望能夠能夠當然這跟那個
transcript.whisperx[148].start 4439.798
transcript.whisperx[148].end 4459.868
transcript.whisperx[148].text 因為我們看到114年度的一個狀態的時候其實他到8月底的執行數其實還是虧損將近2億的一個情況那正在這個部分我覺得沒關係因為砂糖是一個必需的狀態而且我們已經10年都動漲所以基本上維持民生必需的狀態那因為我想看到狀態是因為整個土開的部分其實現在那個台糖
transcript.whisperx[149].start 4460.688
transcript.whisperx[149].end 4483.897
transcript.whisperx[149].text 獲利最主要的一個來源我想請教新竹市這邊的時候有沒有台湯的地那準備要如何開發有台湯這邊的地齁那準備要開發的時候是說要走都市更新但是後來那個廖大王就跟市政府議事他們的做法有點不一樣所以最後我們你先那個
transcript.whisperx[150].start 4485.785
transcript.whisperx[150].end 4496.195
transcript.whisperx[150].text 這個部分請事後再到本辦公室這邊來做一個溝通我們來看怎麼樣跟地方政府做一個溝通能夠讓整個台塘的一個資產真的被活化起來那我接下來想請教一下經濟部長跟台電
transcript.whisperx[151].start 4515.064
transcript.whisperx[151].end 4534.052
transcript.whisperx[151].text 首先因為那個前幾天的時候又發生一件公安的事件在那個公安訓練的時候結果發生一個我們台電的員工傷亡的一個狀態那我在想說我看到整個台電的一個勞工安全衛生的支出就是
transcript.whisperx[152].start 4536.734
transcript.whisperx[152].end 4557.993
transcript.whisperx[152].text 112年度的時候大概是3.65億到115年的時候已經到6.78億可是我們看到了它的預算數跟決算數是不斷的提升可是在整個傷亡的事情當中的時候似乎並沒有真正的下降針對這部分的時候台電這邊有沒有一個簡單的說明
transcript.whisperx[153].start 4560.356
transcript.whisperx[153].end 4571.169
transcript.whisperx[153].text 我跟委員報告第一個就是台電發生公安這個事情就是不管是我們自己的同仁或是包商那個台電都需要自己積極的做檢討
transcript.whisperx[154].start 4572.349
transcript.whisperx[154].end 4597.174
transcript.whisperx[154].text 那你剛才提到預算的部分預算部分有很多就是他等於是說他這一世界行政管理的一些工作包括健檢等等都跟員工的OK那我們希望說台電其實整個供應整個全台的電力狀態我們希望就是員工也能夠得到很好的保障我們希望在整個台電的一個供應類的部分能夠真正的加強那我接下來想請教的一個部分是有關於
transcript.whisperx[155].start 4598.294
transcript.whisperx[155].end 4617.1
transcript.whisperx[155].text 最近有一個在整個綠能界一個很大的事情就是深威準備要下市那深威其實他的子公司就是富威是我們台電的一個承包廠商彰化這邊的一個承包廠商那麼得到的一個金額高達628億
transcript.whisperx[156].start 4619.821
transcript.whisperx[156].end 4646.678
transcript.whisperx[156].text 然後結果在不久前的時候因為後來發現那個社會公司的一個淨值出現負數負1.8億少少的錢相較於他們整個的工程其實是一個小小的錢然後準備要下市那影響到的一個投資人高達7萬多個投資人那我想請教一下這件事情因為當時這家公司是在響應政府一個
transcript.whisperx[157].start 4647.678
transcript.whisperx[157].end 4670.51
transcript.whisperx[157].text 綠能國家隊的時候他是第一個就是全包的統包的一個整個綠能國家隊的一個甄選出來的廠商當時就是曾董事長你當時也是我們的次長所以當時你找到了這家廠商的時候呢是你在次長兼代理董事長的時候那你現在是台電的董事長然後發現你當時找進來的公司
transcript.whisperx[158].start 4672.811
transcript.whisperx[158].end 4684.378
transcript.whisperx[158].text 竟然要被下市了那針對這個部分的時候我們台電這邊有沒有什麼一些因應的狀態或者是要如何去做那我這邊我再直接問一下經濟部長因為我看到經濟部這邊講到說他們這個案場
transcript.whisperx[159].start 4687.589
transcript.whisperx[159].end 4708.618
transcript.whisperx[159].text 執行率已經超過96%了就將近要完工 剩下3點多%就完工結果現在出現這樣子的一個事情那我在想說因為這個案子是經濟部就是跟台電簽約 台電再統包出來的一個狀態那我們現在要如何來處理這後續的一個問題因為600多億的錢都是
transcript.whisperx[160].start 4712.239
transcript.whisperx[160].end 4737.883
transcript.whisperx[160].text 老百姓的民脂民膏那當時在推一個綠能國家隊的時候去做這樣子的一個事情讓一個好好的一個上市公司走到現在瀕臨要下市的一個邊緣6月23號要下市那這個狀態是我想請一下就是曾董事長跟我們工部長的時候針對這部分可不可以做一個具體的一個說明然後我們要如何來做這後續的善後
transcript.whisperx[161].start 4738.363
transcript.whisperx[161].end 4755.011
transcript.whisperx[161].text 那個報告委員第一件事情就是這一個事情的得票台電離岸風場的得票廠商其實是那個富威不是深威理解富威是深威百分之百的子公司好不好不是富威的財務出狀況
transcript.whisperx[162].start 4756.212
transcript.whisperx[162].end 4772.478
transcript.whisperx[162].text 我想說這個媒體這樣報那你要就是說這裡面是到底是哪一個部分轉投資他轉投資的公司帶來的比較大的虧損我覺得這個要被釐清這是第一點我想說因為人家是上市公司我這不能夠在這邊代替他回答
transcript.whisperx[163].start 4773.078
transcript.whisperx[163].end 4793.334
transcript.whisperx[163].text 但是我們的簽約公司是富威那因為富威是正威是深威百分之百的子公司富威它是百分之百深威的子公司出現異常是富威造成的還是其他因素造成的我想說媒體上面有些也有在報導
transcript.whisperx[164].start 4793.814
transcript.whisperx[164].end 4818.108
transcript.whisperx[164].text 同時有兩塊一塊是富威這邊因為承接了台電的一個案子另外一塊的時候是為了要富威他去做海事工程的時候他們有一個在新加坡的一個公司叫做寶威的一個海事的一個公司然後因為海事寶威的狀態是深威67%的持股所以因為這件事情的時候導致現在整個深威的一個那個
transcript.whisperx[165].start 4821.593
transcript.whisperx[165].end 4849.127
transcript.whisperx[165].text 淨資產出現負數我想這肯定是有關係的那我在想說真董事長現在想要這樣去做一個履歷其實表示說升威下市是升威下市跟台電跟富威這邊的關係都沒有關係您想表達的是這樣的一個情況嗎我要跟委員表達的是我們現在在做履約的工作包括你講公淨如何我們要找的我們的得標廠商是富威我們跟富威去
transcript.whisperx[166].start 4850.687
transcript.whisperx[166].end 4875.515
transcript.whisperx[166].text 繼續協商後續的工作怎麼進行這才是我們現在要管理的最重要的工作就台電公司來講理解 沒有問題喔北溪也支持的狀態所以台電這邊要跟富威這邊後續怎麼去做因為富威是升威百分之百的子公司所以導致了一家上市公司6月23號被證交所要求要下市不是富威導致升威啊
transcript.whisperx[167].start 4876.275
transcript.whisperx[167].end 4895.7
transcript.whisperx[167].text 就不是婦威導致申威比較重OK 你可以這麼解釋啦不過我們看到所有的相關的狀態因為至少說申威他們在當時做的一個那個重訓的時候有提到這個部分那我想請教一下部長針對這個部分因為我們看到這整個狀態經濟部特別跳出來說
transcript.whisperx[168].start 4897.765
transcript.whisperx[168].end 4914.079
transcript.whisperx[168].text 富威他們的一個質詢率已經高達了96%以上那針對這個部分的時候呢我們經濟部這邊對於這家廠商他們所衍生出來的可能產生的一些
transcript.whisperx[169].start 4916.26
transcript.whisperx[169].end 4941.376
transcript.whisperx[169].text 工程的一個延期或者是一個追加預追加款項的部分的時候經濟部這邊會採取怎麼樣的一個態度來因應報告委員那個採購法或者是合約進行因為他們兩照都有合約進行當然兩照對於合約有不同的解釋的時候或者不可抗力因素的時候公共整合委會他們會有一些協處
transcript.whisperx[170].start 4943.877
transcript.whisperx[170].end 4964.87
transcript.whisperx[170].text 那我們希望說兩兆對於這個公共工程委員會協助都可以同意來進行沒問題喔 那我想說經濟部來講最希望這個工程還是可以完成因為畢竟它已經大部分時間最困難的部分都已經那個機裝都已經做好了只是把這個風機裝上去而已是 那因為它這邊也超出了
transcript.whisperx[171].start 4965.79
transcript.whisperx[171].end 4988.441
transcript.whisperx[171].text 經濟部跟台電還有台電跟富威他們的一個合約的要完工期間所以後續可能也會碰到有一些追繳罰款的問題等等的問題我想說這個部分請經濟部跟台電社在他的本辦公室來做一個具體的說明然後我這邊還要再特別了解一下因為台電目前跟很多的一個國際廠商
transcript.whisperx[172].start 4989.682
transcript.whisperx[172].end 5012.219
transcript.whisperx[172].text 似乎也出現了一些工程的糾紛包括了可能包括文宏包括了住友包括了一個瑞麗我不知道是不是有這樣子的事情那如果說有在公共工程委員會這邊在進行調解或者是仲裁或者是直接在進行訴訟的部分大概有多少的廠商可不可以請董事長簡單回應一下
transcript.whisperx[173].start 5012.959
transcript.whisperx[173].end 5036.798
transcript.whisperx[173].text 跟委員報告您剛才提到的狀況是這樣就是我們過去這幾年來的工程都遇到疫情還有核武戰爭就是它的一些一些設備在輸送上面都遇到一些時間上的問題那這中間很多都有一些工期上調整的一些爭議所以我們基本上就是依照採購法的規範那有爭議需要調處的時候我們就是會請工程會來協處
transcript.whisperx[174].start 5037.799
transcript.whisperx[174].end 5064.487
transcript.whisperx[174].text 理解 你剛剛也很清楚講到說因為疫情跟整個烏日戰爭所導致一些國際很多時事的一個變遷的狀態所以導致你們現在跟很多國際的一個大廠也產生一些工程的一個糾紛那我在想說我不理解說就是富威是不是也是類似的一個狀態可是不管怎麼樣子我們希望因為錢都花出去了而且是幾百億的錢而且當時是為了要
transcript.whisperx[175].start 5065.347
transcript.whisperx[175].end 5085.342
transcript.whisperx[175].text 把綠能國家隊把它給建立起來因為我看到很多媒體當時對這家公司也極盡這個吹捧的一個狀態因為它是綠能國家隊很重要的一個指標那我們希望經濟部能夠責成台電這邊的時候盡快把這個相關的事情把它給妥善讓它能夠
transcript.whisperx[176].start 5086.983
transcript.whisperx[176].end 5113.778
transcript.whisperx[176].text 具體能夠開始發電然後跟所有的國際廠商的糾紛的時候我也希望說知道一些後續的細節那請董事長這邊之後再到本辦公室來做一個說明目前到底有多少的工程糾紛在我們的公共工程委員會或者是在司法的訴訟當中 好不好好 謝謝好 謝謝鄭振銓委員 謝謝部長董事長好 接下來我請楊瓊英委員質詢
transcript.whisperx[177].start 5127.573
transcript.whisperx[177].end 5136.255
transcript.whisperx[177].text 謝謝主席 楊群發言首先來邀請台電台電 董事長那個總經理 新任的總經理董事長 總經理那總經理新上任你強調自己是穩定供電的操盤手那你也表示今年年底將要完成台中電廠新一更新二號的這個燃氣機組
transcript.whisperx[178].start 5156.238
transcript.whisperx[178].end 5185.044
transcript.whisperx[178].text 那我想我們長期跟董事長不管他擔任市長或者擔任總經理我們一直在討論怎麼樣讓台中的空氣能夠更清新怎麼樣能夠還給我們台中人的一個健康呼一口新鮮的空氣那所以呢因此中部地區的人呢付出了那麼多中火在那裡所以我們好不容易以氣來換煤那所以我想要首先請
transcript.whisperx[179].start 5186.224
transcript.whisperx[179].end 5196.973
transcript.whisperx[179].text 那個總經理回答好了你既然是總操盤手那請問什麼時候新一號二號的燃氣機組可以上傳來按下去對好可以委員好
transcript.whisperx[180].start 5209.169
transcript.whisperx[180].end 5218.335
transcript.whisperx[180].text 目前是5月份的時候,本年度的5月份的時候會1號機會接受調度已經都接受調度2號機是在預計11月份的時候會接受調度
transcript.whisperx[181].start 5226.758
transcript.whisperx[181].end 5244.154
transcript.whisperx[181].text 所以換句話說 燃氣機組1號機5月份就現在2號機是11月份我們的指標是如此會完成啦 因為目前進度是應該是OK的這個是機組接受調度上限所以換句話說 時間可能還會超前那再請教什麼時候拆我們的這個燃煤機組
transcript.whisperx[182].start 5256.985
transcript.whisperx[182].end 5266.083
transcript.whisperx[182].text 2026年如果一號機商轉之後就是在今年年底今年年底拆藍莓機組的一號機跟二號機
transcript.whisperx[183].start 5269.363
transcript.whisperx[183].end 5293.79
transcript.whisperx[183].text 我們這個是長期大家一直努力所以一定要達成成功因為中部地區我再強調我們付出了那麼多理當還給我們清新的空氣所以我們預計在今年年底拆藍莓機組的一號機跟二號機那其餘的我們明年度還是繼續加油只要有爭氣
transcript.whisperx[184].start 5295.41
transcript.whisperx[184].end 5304.812
transcript.whisperx[184].text 就是要拆煤以這個原則好 謝謝你 接下來董事長 部長來 請經濟部長一起來總經理請回座好了台電是國家非常重要的資產 我們都說台電不能倒台電的員工很辛苦 但是台電的負債讓我們這個要謹慎為之那謹慎為之的時候呢 如果
transcript.whisperx[185].start 5325.851
transcript.whisperx[185].end 5341.257
transcript.whisperx[185].text 如果有任何應當要拿回給台電的錢而不追討回來那這個就是對不起人民那部長你也點頭表示你認同本席的這個說法是不是是不是對好所以我們繼續來討論跟業有同仁我們繼續討論也就是人民好幾百億的血汗錢
transcript.whisperx[186].start 5354.932
transcript.whisperx[186].end 5381.21
transcript.whisperx[186].text 台電在離岸風電發電的第二期計畫裡頭由深威能源的子公司也就是富威能源以628.88億的天價來做銅棒但到目前為止我們看到合約的採購很清楚設備採購與安裝的需求書裡頭寫得很清楚你必須在114年12月31號前必須完成全部工程的竣工
transcript.whisperx[187].start 5382.291
transcript.whisperx[187].end 5396.06
transcript.whisperx[187].text 現在是什麼時候現在是115年的5月中旬換句話說依照你的合約書你的需求量來說已經超過將近半年的時間所以要請教部長目前我們31座的機組我們安裝了幾座
transcript.whisperx[188].start 5399.338
transcript.whisperx[188].end 5425
transcript.whisperx[188].text 機座我們安裝了幾座 幾座上面有寫一座 對幾座 一座 對為什麼因為他是先裝那個機裝機裝先裝完以後最後才裝風機所以他的機裝現在已經都完成了現在很快的就是把那個風機裝上去就好了機裝完成他已經超越時間剛剛你也特別回答我們只要把它裝上就好了請問什麼時候裝上
transcript.whisperx[189].start 5426.667
transcript.whisperx[189].end 5448.315
transcript.whisperx[189].text 如果是今年可以繼續施工的話因為今年可以裝完如果是今年可以繼續施工換句話說你已經給人民一個答案你已經超越時間沒有完成部長你再回答不是 報告委員這個就是剛剛提到的因為兩兆在合約上有一點爭議因為他們講說有一些不可能好 你來一個來一個爭議
transcript.whisperx[190].start 5450.936
transcript.whisperx[190].end 5461.455
transcript.whisperx[190].text 我們很清楚 你告訴我們說你的工程已經完成了96%那這個不是我講的 這個是對方訴求這是你的次長說的這在媒體上面都披露
transcript.whisperx[191].start 5463.32
transcript.whisperx[191].end 5468.303
transcript.whisperx[191].text 所以在這樣的情況之下這個96%到底是什麼96%是我們的預付款已經拿了人民的納稅錢的96%是不是啊委員這個不是什麼預付款我先說明一下這個契約叫做財務採購代安裝他基本上採購的是設備然後他要負責安裝完成那他因為他設備都已經抵岸都已經到台中港
transcript.whisperx[192].start 5486.594
transcript.whisperx[192].end 5513.169
transcript.whisperx[192].text 所以他其實在整個設備的估價上面對於合約旅行的百分比依照我們標準的工程合約財務財過代安裝的合約他就是要把這些已經到達已經送抵的這些計算進去但工程還有一個最重要的一塊就是要把風機裝上這件事海嵐目前正在施工這個是關鍵如果沒有裝上等於是
transcript.whisperx[193].start 5515.12
transcript.whisperx[193].end 5530.405
transcript.whisperx[193].text 當然裝上 它要把它好好裝上才能夠順利發電這個是關鍵的工項 這個也是確定的對 所以在這樣子的情況之下在你的需求量 你的合約裡頭寫明是要在114年的12月31號去完成這個是原來合約要完成的時間當然是你訂約要有合約啊對
transcript.whisperx[194].start 5538.507
transcript.whisperx[194].end 5546.954
transcript.whisperx[194].text 那個跟委員報告就是所有的工程師做只要遇到不管是天后或其他你這個理由我們繼續來討論不可抗力我們人民情何以堪在你的第14頁裡頭的第4項裡頭完成所有風力發電機組以及海上發電的這個下部結構設置你如果明明白白寫清楚
transcript.whisperx[195].start 5566.01
transcript.whisperx[195].end 5577.209
transcript.whisperx[195].text 你如果預約一個日曆工作天就是要罰一百零五萬三十座就是要多少呢就是要三千 一天就是要三千一百五十萬
transcript.whisperx[196].start 5578.618
transcript.whisperx[196].end 5593.331
transcript.whisperx[196].text 那個一個月就是將近10億的錢所以就沉入雲南的時候上一次我們一直討論該依法計法的411億那今天台電的二期的這個部分讓我成這樣 我請問本席要請問喔
transcript.whisperx[197].start 5596.974
transcript.whisperx[197].end 5620.842
transcript.whisperx[197].text 本校請問 因為子公司今天復會的一個情況導致聲威甚至要被爆出 禁止轉付甚至要終止上市 剛剛你回答了雞生蛋 蛋生雞是什麼原因我們的人民就希望要知道到底是什麼原因所以我在這邊要代表著全體的納稅人
transcript.whisperx[198].start 5622.563
transcript.whisperx[198].end 5623.025
transcript.whisperx[198].text 要請問這一筆一天3150萬的預期違約金你台電有開罰了嗎
transcript.whisperx[199].start 5631.36
transcript.whisperx[199].end 5643.364
transcript.whisperx[199].text 我跟委員報告幾件事情我跟委員報告幾件事情第一件事情你剛才講允能的事這跟這個工程合約是完全兩件事當然上次我跟你討論過我舉這個例子告訴你我講第二件事情就是升威升威的財務狀況我們的簽約對象是富威當然不是升威他是他的子公司所以剛剛請你針對本期的評論
transcript.whisperx[200].start 5657.182
transcript.whisperx[200].end 5661.606
transcript.whisperx[200].text 請你針對本席的提問 3151億的違約金你們有沒有開罰報告委員 這些工程時程進度上面中間的落差人家只要他有具體的理由他都可以去聽真心好 這就是人民要聽的具體的理由違法就是違法
transcript.whisperx[201].start 5679.887
transcript.whisperx[201].end 5683.93
transcript.whisperx[201].text 你同意這一點 我告訴你部長站在這邊如果你要用疫情你要用惡霧戰爭你要用通膨升息這些不可抗的爛藉口那人民的納稅錢要怎麼做處理
transcript.whisperx[202].start 5699.921
transcript.whisperx[202].end 5714.559
transcript.whisperx[202].text 報告委員剛才前一位委員的質詢是說我們應該要去注意這一些不可抗力因素所以光是在國會就有兩種意見那我們只能夠做一件事就是這些申訴程序就到工程會去協助好 請告訴你
transcript.whisperx[203].start 5715.97
transcript.whisperx[203].end 5740.724
transcript.whisperx[203].text 台電已經同意追加了55.57億而且還要兼顧付款你的理由有爭議就到哪裡就到這個調解委員會去做調解你們就是這麼做但是人民要問的一邊要給立法院拿千億的撥補一邊又要讓台電成為私人的一個
transcript.whisperx[204].start 5741.664
transcript.whisperx[204].end 5761.317
transcript.whisperx[204].text 提款機部長這是不同意這樣的一個做法台電公司的財務如此你們一定要嚴格的依合約去執行當然所以本席告訴你本席告訴你本席告訴你這個628.88億他的班前的三部曲第一部
transcript.whisperx[205].start 5767.321
transcript.whisperx[205].end 5783.219
transcript.whisperx[205].text 低價投標高價變更部長你要聽清楚當時他們是用比較便宜的新聞紙來搶標得標了之後又想要要求轉換為高價的維斯塔斯的方式
transcript.whisperx[206].start 5784.366
transcript.whisperx[206].end 5803.823
transcript.whisperx[206].text 然後基座可以減少這裡又莫名其妙的增加了將近70億也就是歐元的2.1億在這樣子的一個情況之下就像你進了餐廳你買的是你點的是洋蔥麵但是你要付款的時候要求台電要付一個頂級的牛肉麵錢第二步告訴你無手轉單疑心大法
transcript.whisperx[207].start 5811.263
transcript.whisperx[207].end 5828.814
transcript.whisperx[207].text 台建我們編了60億的維運管理費5年但是他再發包海外的部分27億33億跑到哪裡去 部長第三個 也就是更惡劣的你不蓋風場 你海外去洗船錢
transcript.whisperx[208].start 5830.834
transcript.whisperx[208].end 5858.062
transcript.whisperx[208].text 海上的風機躺在那裡 你趕快裝啊一騎啦但是他用台電的這個預付款去買了三台工作船台電的合約書裡頭沒有要買要求要買工作船大家都在評論這三艘的工作船溢價了60億所以因此 部長
transcript.whisperx[209].start 5859.485
transcript.whisperx[209].end 5870.269
transcript.whisperx[209].text 我們看到這樣的情況變更機型多出了70億維運差價不見了33億海外買船又溢價了60億這是在幫台灣蓋風場嗎還是把台電剛剛本席說的
transcript.whisperx[210].start 5879.606
transcript.whisperx[210].end 5898.309
transcript.whisperx[210].text 當成是提款機呢台電面對的是付威啊我們還是針對付威當然是付威啊你怎麼不針對本集的提問大家都知道簽約的是付威啊對啊你上面講的是深威的事情那不是付威啊什麼深威的事情你的簽約是付威啊對不對所以告訴你部長現在台灣看到這樣子的一個情況
transcript.whisperx[211].start 5910.1
transcript.whisperx[211].end 5931.467
transcript.whisperx[211].text 原公司 子公司互威來簽約 到現在已經搞到台灣的股市支不抵債 禁止轉付 要面臨下次 海外的資金一零重重那海上的風機 富無威所跟你簽約的海上的風機 至今只裝了31座 只裝了一座
transcript.whisperx[212].start 5933.689
transcript.whisperx[212].end 5962.057
transcript.whisperx[212].text 紙上的一座所以本席在這邊要嚴密的提出經濟部跟台電你必須要去徹查清楚你必須要去徹查清楚徹查什麼呢第一個 升位跟富威有沒有利用預付款來轉投資境外公司背書保證公有沒有不合營業常規的一個交易有沒有掏空資產
transcript.whisperx[213].start 5963.444
transcript.whisperx[213].end 5991.866
transcript.whisperx[213].text 他的資金流向以及在合約台電跟富威合約依法的情況之下的責任到底是如何本席嚴正的要求你在一個月內將這些的資料給我們給本席也給我們經濟委員會大家都在關心這些錢到底目前的流向是怎麼樣這些進度到底是如何
transcript.whisperx[214].start 5993.652
transcript.whisperx[214].end 6001.878
transcript.whisperx[214].text 請部長我們還是按照合約來進行當然台電公司跟合約 請一個月內將這一些剛剛本席所提的一個月內提出報告我們可以說明可以說明所以在你還沒有提出說明之前你必須要要求主案嚴格審查而且暫停所有的
transcript.whisperx[215].start 6022.209
transcript.whisperx[215].end 6029.371
transcript.whisperx[215].text 這個這個追加的這個預算凍結沒有按照合約啊當然按照合約啊當然按照合約啊所以一天3100多億的這個多萬的這個錢你們到底
transcript.whisperx[216].start 6039.048
transcript.whisperx[216].end 6065.016
transcript.whisperx[216].text 什麼社會去理清楚告訴社會大眾按照合約來進行當然按照合約一定要依合約來進行一定一定一個月內請將資料給本席不要讓人民當成好 請那個經濟部跟台電好不好做個報告也不要讓台電淪為私人公司的提款機這回事啊好 謝謝楊瓊英委員接下來我們有請這個邱志偉委員質詢
transcript.whisperx[217].start 6080.128
transcript.whisperx[217].end 6086.054
transcript.whisperx[217].text 好謝謝主席是不是我們邀請經濟部拱部長請經濟部拱部長曾董事長台電曾董事長
transcript.whisperx[218].start 6106.469
transcript.whisperx[218].end 6131.175
transcript.whisperx[218].text 這個是台電的營運跟未來的這個電價這個中東的戰事不曉得會持續多久直接影響到能源的成本就是說這個中油在4月跟5月的時候天然氣價格調漲41%5月份調漲了多少%調漲將近10% 對不對所以台電自己預估每個月成本5月開始增加電130億
transcript.whisperx[219].start 6133.823
transcript.whisperx[219].end 6158.685
transcript.whisperx[219].text 那我們九月份會有這個針對下半年度的電價的審議這個如果持續中東戰事你們每個月成本電貨130億以上那九月電價審議你們可能會怎麼樣去思考這個問題這個部長報委員我想那個價格的變化我們持續在關注啦齁那
transcript.whisperx[220].start 6160.442
transcript.whisperx[220].end 6189.144
transcript.whisperx[220].text 因為這個電價最後的決定權還是在台電不能倒啊如果你的每度電要按照現在的計算的話每度電你要調升0.6到0.68成本因為我們最重要的目的是穩定供電這是第一個第二個才是照顧民生穩定供電這絕對一定要做到這是最高的前提接著你要穩定物價嘛所以這種情況你要怎麼去拿捏啊
transcript.whisperx[221].start 6189.924
transcript.whisperx[221].end 6213.448
transcript.whisperx[221].text 那你未來在9月很快喔再過幾個月就到9月你現在預估調漲的可能性怎麼樣我們還是把所有的資訊如果是暫時到9月都還沒有停止所有把所有的資訊讓這個電價審議委員會了解剛剛委員提到了嘛穩定物價台電不能倒這個是先決條件那也讓審議委員知道
transcript.whisperx[222].start 6217.409
transcript.whisperx[222].end 6237.658
transcript.whisperx[222].text 那同時間這樣這樣的狀況我們也會讓行政院知道如果你要把它繼續動漲電價最主要目的就是說把物價穩定下來 對不對好 但是直接受到影響就是這個台電的財務狀況是 財務狀況 那你預估如果假設啦 9月份又繼續動漲
transcript.whisperx[223].start 6242.27
transcript.whisperx[223].end 6266.671
transcript.whisperx[223].text 那你這個財務缺口會負債比會不會再增加到就11億以上所以我想台電 曾董事長那跟委員報告就是當然現在這個狀況就是如果每個月都要增加100多億的負擔的話那以目前我們的電價來看是沒有辦法完全止盈的這是確定的那不過
transcript.whisperx[224].start 6267.452
transcript.whisperx[224].end 6285.345
transcript.whisperx[224].text 因為這個事情是一個很特殊的狀況所以我相信中油大概也都是在反應氣價上面他也會看整個變化來做一些調整所以我們現在還在了解中就是說這個因為4月5月漲完之後其實一些相關的價格有稍微回落
transcript.whisperx[225].start 6285.985
transcript.whisperx[225].end 6307.706
transcript.whisperx[225].text 那包括是現貨價格跟班特都有效益回落那回落長期的狀況會怎樣我們大概還會再看一下那這跟委員報告好就是說到九月份其實還有一段時間那我們夏季尖峰也快要到其實關於財務這個部分我們說要做最大的打算如果每個月都一百三十幾億你們這個經典會具有虧損
transcript.whisperx[226].start 6310.429
transcript.whisperx[226].end 6320.756
transcript.whisperx[226].text 你們財富狀況又惡化然後很多的這些基礎建設投資你們就沒有辦法去做電網、內信這些都要很多資本投入啊你們巨額虧損,虧損到已經負債90%以上了
transcript.whisperx[227].start 6326.372
transcript.whisperx[227].end 6342.035
transcript.whisperx[227].text 這種情況你們要衡量一下我們因為去年的狀況有稍微改善跟委員報告那就是今年我們會繼續努力那當然還是中油那邊進口的狀況我們會持續來挖取好這個把它當作一個國安問題是這是認識國安問題另外這個離岸封電的部分離岸封電這個
transcript.whisperx[228].start 6351.475
transcript.whisperx[228].end 6374.47
transcript.whisperx[228].text 幾個問題提供給這個經濟部或者是這個台人做參考現在有一些困境包括地方政府每個地方政府的審查數據都不太相同很冗長然後這個機制的選商也僵化那融資通常都很大額的融資門檻又高所以以及這三個困境造成推動這個聯安風電的困難
transcript.whisperx[229].start 6377.031
transcript.whisperx[229].end 6402.136
transcript.whisperx[229].text 所以我這邊提出一些建議選商的規則你要怎麼去做一些調整另外國家融資的保證年限是不是也可以考慮另外浮動式風電示範計畫你們有沒有推動而且要加速另外很多都需要國發會或者是這個跨部會來做協調的所以是不是有一個跨部會協調其實近期針對目前這個離岸風電的狀況來做一些的調整
transcript.whisperx[230].start 6407.369
transcript.whisperx[230].end 6434.578
transcript.whisperx[230].text 這個請部長是不是回答一下有那您這四個建議第一個選商我們當然是33著重在他的執行率跟他的財務狀況那當然也有一些ESG的這個獎勵修正成這樣子那第二個說國家融資保證的部分那這個部分我們也跟國發會有做了一些協商那可以擴大他的一些保證金額
transcript.whisperx[231].start 6435.658
transcript.whisperx[231].end 6459.921
transcript.whisperx[231].text 那第三個就是有關於浮動式的部分現在已經有新的一級跟33會並同有開始有一些示範性的一些做法然後跨部會協商機制是持續有的就是說除了跟國發會之外因為他是國家農事保證嘛那另外跟這個農業部也好或海委會也好還有交通部也好都有一個跨部會的一個協商機制
transcript.whisperx[232].start 6461.423
transcript.whisperx[232].end 6464.951
transcript.whisperx[232].text 另外我最近跟這些產業界做一些座談針對離岸風電的這個海底電纜
transcript.whisperx[233].start 6469.399
transcript.whisperx[233].end 6488.844
transcript.whisperx[233].text 風電的電纜這當然是不是一個重要的國安的這個設施啊因為很多不管日本跟澳洲也進行這個所謂海底電纜的維護或者這個相關的保護的作為的合作所以聯風電的電纜這個很重要包括這個日本日本也這個經濟產業經產省他們也發布一個
transcript.whisperx[234].start 6494.431
transcript.whisperx[234].end 6502.841
transcript.whisperx[234].text 把那個HVDC這個電纜列為核心補助對象就是它要做到電纜的國產化了這部分台電有沒有思考這個HVDC
transcript.whisperx[235].start 6507.299
transcript.whisperx[235].end 6529.441
transcript.whisperx[235].text 補助現在是沒有啦日本啊把它列為這個補助對象就是他要把這個海底電纜的資源變成國安的資源而不是依賴這個其他國家所以讓我們自己可以自己去生產自己去製造歐洲也是有相關的做法包括美國有相關的做法韓國也是這樣的做法
transcript.whisperx[236].start 6530.302
transcript.whisperx[236].end 6549.176
transcript.whisperx[236].text 所以這個部分未來經濟部跟台電有沒有在思考我們是有在三商選商裡面是有說因為如果海底電纜你是在地採購的話是有等於是有鼓勵啦鼓勵性質假鼓勵但是其他國家都是用補助耶你看日本直接補助
transcript.whisperx[237].start 6552.535
transcript.whisperx[237].end 6567.5
transcript.whisperx[237].text 306億之前的這個修法事實上也把這個所謂海底的電纜不是通訊電纜這個發電的電纜也放入到我們是關鍵的基礎設施裡面所以關鍵基礎設施已經放進去海底電纜了嗎
transcript.whisperx[238].start 6568.462
transcript.whisperx[238].end 6589.551
transcript.whisperx[238].text 有有有這個應當適同的國防設施這跟國家安全有密切相關對所以說假如說我們發現海上有一些奇怪的船他如果想要可能會造成我們的危害的時候我們會扣船等等一些情況那進口的海嵐你有沒有相關的國安的審查機制如果進口的海嵐
transcript.whisperx[239].start 6590.459
transcript.whisperx[239].end 6606.899
transcript.whisperx[239].text 有 我們是不能用對岸的那其他國家 其他國家他可能透過其他的國家轉進來如果用中國產品我們會注意 對所以我覺得這部分那台電如果在這個台電端的部分這個驗收要怎麼去把關呢那個台電
transcript.whisperx[240].start 6612.058
transcript.whisperx[240].end 6629.549
transcript.whisperx[240].text 海嵐的最終驗收必須在台灣本土用台電來主導基本上你如果講的是離岸風場離岸風場它所有的設備都有認證標準都有認證標準一定是照著國際認證標準來認證所以符合國家安全相關的規範對這個認證標準一定會符合國家相關安全規範
transcript.whisperx[241].start 6630.578
transcript.whisperx[241].end 6655.358
transcript.whisperx[241].text 那有沒有跟其他國家進行這個海岸的合作?其實台灣目前為止我們涉谷老電網其實沒有去做跟其他國家就是跟其他國家電網並聯的問題因為我好像時間到了我再問一個問題今天在高嶺上看到一個報導這個河山的甘楚這個
transcript.whisperx[242].start 6657.743
transcript.whisperx[242].end 6660.374
transcript.whisperx[242].text 這個竟然有廠商跑去經濟部抗議
transcript.whisperx[243].start 6663.507
transcript.whisperx[243].end 6690.361
transcript.whisperx[243].text 說這個評選不公我說應當不至於有這種狀況嘛就請台電或者昨天是不是部長您被抗議的這到底是什麼狀況那個跟委員報告我想說我們也覺得這是很罕見就是說如果你沒有得標的話基本上台灣的法律結構是有申訴的你不管是向台電反映或是到工程會去申訴這個都是可以的但昨天那樣子的狀況我們也非常的意外
transcript.whisperx[244].start 6691.081
transcript.whisperx[244].end 6703.317
transcript.whisperx[244].text 那我想說一些相關的指控我們昨天也對外依依做說明我想說尤其對於安全這件事情你們說是一個抹黑你們是一個抹黑而且你們研究要提告媒體是這樣說明我這樣子說就是說
transcript.whisperx[245].start 6707.294
transcript.whisperx[245].end 6725.689
transcript.whisperx[245].text 我覺得對於所有的程序有任何批評指教我們都可以討論是不是釋法而且這些過程裡面我們有有些部分的一些提出來的一些內容我們都跟主管機關都請教過這是釋法的程序但我要跟委員報告指控台電罔顧和安
transcript.whisperx[246].start 6727.741
transcript.whisperx[246].end 6755.438
transcript.whisperx[246].text 這個對台電來講台電不能接受強烈的表示你們立場所以昨天我們已經回應了就是一個核能的專業的公司指控台電罔顧核安這個台電不能接受這個不排除會提告好像台南五董市長坐在那邊很久都沒有人叫你再半分鐘
transcript.whisperx[247].start 6757.543
transcript.whisperx[247].end 6774.057
transcript.whisperx[247].text 三十秒我諮詢都有天花板 我諮詢沒有無邊際的來 那個吳董事長 這個因為你坐在那邊我看到你一直想要上台的感覺沒有沒有 這個台堂的休息事業一直在了結
transcript.whisperx[248].start 6775.416
transcript.whisperx[248].end 6803.553
transcript.whisperx[248].text 譬如說建山北的渡假村 台東的慈善還有長榮酒店 台北會館我想都了解住房率都沒有好其實你們可以來檢討是不是你定位的問題行銷策略 還是經營管理這部分因為你們有休息事業部嘛所以如果你要檢討說有什麼收入一直遞減住房率有什麼差你們人事費用都是要支出嘛
transcript.whisperx[249].start 6805.069
transcript.whisperx[249].end 6825.764
transcript.whisperx[249].text 這不能說整體這個國旅沒有那麼好的 你要自己把自己的台南特色把它打出來對 那個 我跟你講的是 但是台北會館我們是賺錢的有賺錢喔對 那個台南 它那個當然跟那個折舊燈之類 但是當初是跟長榮簽約 有長榮
transcript.whisperx[250].start 6828.827
transcript.whisperx[250].end 6845.764
transcript.whisperx[250].text 用他們的LOGO等之類的當然我們還有很大的改善空間那尖山坪那個地方那個池上就是因為整個台東當然我們可以親近因為那邊本來有有一些設施這樣走那個董事長這個再順便資料給我親近作為另外在我那個
transcript.whisperx[251].start 6850.889
transcript.whisperx[251].end 6869.479
transcript.whisperx[251].text 這個 各位啊 九夥頭 九夥頭 廠工三邊 因為真的台中大要誕生這個 要催生台灣帝國子彈 Smart Dong要結合AI 半導體 扣件 這些鋼鐵我們蓋一個比較不要那麼大規模 大概兩萬五左右
transcript.whisperx[252].start 6870.64
transcript.whisperx[252].end 6887.307
transcript.whisperx[252].text 那邊又有捷運 又有高速公路 生活經驗又方便主要是要有你們的地部長 我們讓台塘的休閒事業能夠發揮我建議可以在郊頭那邊的台南地 蓋一個子彈
transcript.whisperx[253].start 6893.437
transcript.whisperx[253].end 6921.659
transcript.whisperx[253].text 完全是AI完全是這個完全是自動化然後讓南部天氣很熱有時候會下雨讓這個室內的比賽能夠不會受到影響我那個已經有接觸一家公司他們有信息那將相關的資料上次你也跟我們指教的部分他們再study看看一下因為一下要到台一堂沒有這方面的連財可能目前是不夠啦但是我們會盡量積極來
transcript.whisperx[254].start 6923.34
transcript.whisperx[254].end 6950.016
transcript.whisperx[254].text 配合政府政策來做這個事其實運動休閒產業也算是屬於經濟的一個部分如果能夠把運動休閒產業能夠帶動起來這也是跟經濟部業務相關所以部長是不是可以跟這個運動部跟市政府多合作來催生這個子彈我知道我知道 我在瞭解我是不想選擇對的選擇是我就來做這個博恩我來瞭解你來瞭解謝謝
transcript.whisperx[255].start 6952.952
transcript.whisperx[255].end 6957.954
transcript.whisperx[255].text 好謝謝邱志偉委員現在請洪義祥委員做詢答好謝謝主席我們有請這個台電董事長跟總經理董事長總經理
transcript.whisperx[256].start 6979.192
transcript.whisperx[256].end 7007.312
transcript.whisperx[256].text 好我想是這樣子整個在我是很認真把你們的預算書整個都在看完然後稍微整理一下就是大概從數據可以驗證大概過去這幾年我們對台電以及我們整個能源結構政策的問題的看法基本上從數字來看是蠻準的那從你們115年度的一個收入
transcript.whisperx[257].start 7008.969
transcript.whisperx[257].end 7016.082
transcript.whisperx[257].text 減少支出總支出是增加而且是300多億所以整個大概你今年115年度的虧損預估大概是280億那當然你去年有一點餘處
transcript.whisperx[258].start 7023.254
transcript.whisperx[258].end 7047.062
transcript.whisperx[258].text 但是之後你打掉這個虧損反正你整個的營運資金的話看起來今年你預估是大概也是負的7450億左右我的問題很簡單這個數字看起來都是慘不能讀我們也都理解我的問題是這個是政策不對造成還是我們不會經營造成我想請董事長
transcript.whisperx[259].start 7049.434
transcript.whisperx[259].end 7078.864
transcript.whisperx[259].text 那個跟委員報告我覺得主要是要看我們台電公司現在擔負了哪些政策我想說幾個事情第一個事情就是電價因為不要通膨避免通膨這個我都清楚那這個也是政策的負擔你是覺得政策的比較大還是績效比較大因為績效不好就找你我跟委員報告對你講的完全正確我沒有辦法在這件事情上完全自己講說是什麼原因
transcript.whisperx[260].start 7079.484
transcript.whisperx[260].end 7106.46
transcript.whisperx[260].text 台電的經營績效必須被提升是董事長的責任但台電同時肩負了很多政策任務這也是事實明白所以我第一說未來就是你如果可以的話應該在今年的報告裡面把政策你該負擔的對不對這是成本跟你經營績效這些的成本效益分開來看也許這樣就會清楚不然你整個混在一起說實在的台電董事長者馬拍者對不對
transcript.whisperx[261].start 7106.88
transcript.whisperx[261].end 7132.277
transcript.whisperx[261].text 我跟委員報告我覺得您講的這個事情確實如果要多一份理解可以理解這個事但我們的預算書編列其實是從兩年前就開始製編因為包括因為我要在去年8月以前送進來那個其實中間都會有一些時間差沒問題啦因為我是說這是結構性的問題好不好你再進去看看那再來第二個剛剛這個也有一些委員在質詢這個問題不管邱議員問什麼
transcript.whisperx[262].start 7134.775
transcript.whisperx[262].end 7152.948
transcript.whisperx[262].text 我的感覺是這樣子啦不只是你們台丁 台丁剩它水小 對不對就剛好第一泡這樣子中油也有啊台糖也有啊當然是不同公司啦台水也有那這時候讓你們經濟部改組那這個跟工部長沒關係應該是王美花部長那時候
transcript.whisperx[263].start 7154.322
transcript.whisperx[263].end 7182.881
transcript.whisperx[263].text 他很重視美學嘛我們也都被唸過簡報的配色不對我還有一堆但是我的問題是我的問題很簡單啊就是說我們既然都是一些虧損除了台糖應該有賺錢之外我覺得虧損的企業暫時在logo跟識別這一塊未來如果再遇到這樣子有這種TOP DOWN的指示我們就專業一點因為我待過民間那麼多公司也真的沒有看過這樣子啊
transcript.whisperx[264].start 7184.663
transcript.whisperx[264].end 7205.46
transcript.whisperx[264].text 你賺錢都不要緊這是我給你的建議不用回答因為也不是你的錯我就剛講嘛這是政策的問題嘛再來的話就是我看一下你們的預算受電量增加0.39%電費收入增加9.2%我就根據你們的數字去算的這都根據你們的預算書
transcript.whisperx[265].start 7206.325
transcript.whisperx[265].end 7217.71
transcript.whisperx[265].text 那這個時候來講我的問題就是說發電量差不多但是電費的收入增加就是代表我們今年的下半年我是要調漲電費
transcript.whisperx[266].start 7219.192
transcript.whisperx[266].end 7240.097
transcript.whisperx[266].text 那個跟委員報告其實是一樣就是時間lag的關係就是你如果跟2025年相較那2025年的如果有任何的電費調整都不會及時反映這第一點因為它是事後反映所以在預算裡面本來就不會反映這第一個是第二個是我們在編制這些預算的時候更有一個重要的問題就是我其實是
transcript.whisperx[267].start 7242.958
transcript.whisperx[267].end 7270.954
transcript.whisperx[267].text 因為2025年實際出現因為你告訴我一定都是電價委員會決定您是說今年下半年你說電價的狀況我跟委員報告喔狀況就是這樣台電公司的責任是我們把所有經營狀況去跟委員會做報告那有哪些部分其實是燃料成本哪些東西是因為我增加了非常多投資的折舊我們都會一一做說明
transcript.whisperx[268].start 7271.494
transcript.whisperx[268].end 7298.412
transcript.whisperx[268].text 但我要跟委員報告我們現在才五月那接下來整個市場會怎麼反應包括我們也最近在看OPEC有沒有什麼變化我相信委員都在關心這件事就是它那個OPEC的變化對於油價的變化會有什麼樣的反應而且中國公司可能比我們Watch的更深所以我們現在都會透過部裡面的協調在瞭解整個燃料價格的走勢因為我覺得行政院或經濟部大概就是
transcript.whisperx[269].start 7299.292
transcript.whisperx[269].end 7325.502
transcript.whisperx[269].text 中油台電難兄難弟嘛A公司虧損乾脆就轉嫁給虧更多的B公司好了這樣看起來是我們這個明白了我們就不用再辯解大概知道再來因為我們的核電好像可能要重啟但是我如果看你們的預算大概成本的結構就是出現在火力發電跟購入電力吃掉台電大半的一個成本因為這兩個加起來大概就是8,443億那
transcript.whisperx[270].start 7328.243
transcript.whisperx[270].end 7348.013
transcript.whisperx[270].text 燃氣這個當然沒辦法因為你核電停完之後火力發電我們要需要是減低燃煤所以這個燃氣的依賴比過高剛剛邱委員也問了這也是國安問題我們現在的存量大概是11還是14我們現在大概是12、13天左右差不多
transcript.whisperx[271].start 7349.721
transcript.whisperx[271].end 7367.118
transcript.whisperx[271].text 那現在在這個購電這個3567億的你們的這個成本的這個估算裡面再生能源的購電我幫你算起來大概是差不多應該有1750億這個占比是非常非常的高那
transcript.whisperx[272].start 7368.079
transcript.whisperx[272].end 7389.622
transcript.whisperx[272].text 這個是 我是覺得這個是我們重大財務壓力的問題那這個時候我也去幫你算一下如果你們這些藍煤購電 燃氣購電的話大概大概3.29 3.73跟你的平均電價3.87是差不多但是我們的離岸風電 太陽光電我們自古以來就知道了都很高都高於我們的平均的售電的價格
transcript.whisperx[273].start 7390.763
transcript.whisperx[273].end 7415.737
transcript.whisperx[273].text 所以我覺得回到我剛剛講的問題說實在改善也不是你技巧不好因為政策要配合因為我們再生能源的占比要占20%那我只是提醒你巧婦難為無米之炊所以我是覺得就是在這些方面我們當然就能省則省那另外我也要提醒就是說因為你們的固定資產投資在智慧電網我都支持但是
transcript.whisperx[274].start 7417.248
transcript.whisperx[274].end 7441.806
transcript.whisperx[274].text 負債比實在很高就從公司經營來看你現在利息一年要付多少利息一年大概是400億300多還不到400億300多億所以我是怕你今年如果再負債更多這個可能你今年會再舉債多少我們預計就是我們今年就是計息的簡單講就是計息負債大概是兩兆
transcript.whisperx[275].start 7444.031
transcript.whisperx[275].end 7459.765
transcript.whisperx[275].text 兩兆對不對你要借新還舊還是借比較便宜的我這樣說我們整個整個財務結構裡面有公司在他有公司在然後也有跟銀行借款等等他都有到期的問題所以一定會有借新還舊就是我舊的到期我一新的去補
transcript.whisperx[276].start 7460.545
transcript.whisperx[276].end 7483.078
transcript.whisperx[276].text 但是我們基本上就是看利率的狀況我們也有發行一些商業的本票等等的這個因為前面的資金規模很大所以這個我現在都善盡提醒因為我們接下來就是我們還有國防軍購嘛你到期的時候匯入美金那個匯率在上去的時候那央行如果要他可能會升息所以你的利息的支出我覺得你們這些財塊的可能要把這個風險因子要估計進去
transcript.whisperx[277].start 7486.92
transcript.whisperx[277].end 7501.309
transcript.whisperx[277].text 比你300多可能下去我看今年搞不好到年底就400億所以這個可能要稍微注意一下我都很提醒啦我這很認真的看你的預算書啦坤委員報告謝謝你提醒我講一個事您馬上知道就是因為我們有一些債
transcript.whisperx[278].start 7502.31
transcript.whisperx[278].end 7522.399
transcript.whisperx[278].text 其實是之前借的所以他那個時候利息比較低的時候我們就有佈局那當然最近一段時間他有波動所以是平均來看我們大概300多億那我剛才講我剛才講說不到400億是用2兆乘以2%算出來的那2%這已經是高的利率了我想說就這樣明白跟委員報告就跟您好是
transcript.whisperx[279].start 7522.819
transcript.whisperx[279].end 7548.708
transcript.whisperx[279].text 那再來就是說這也是跟我剛剛第一個問題問的一樣就是很多重大工程我們是配合政策沒辦法是回收的這個報酬率也很低不管是離岸風力加強電網或者是我們的一個南科相關物色的這些都是這些政策的東西我是認為可能再來將來就是應該是讓政府去編錢去做這些政策而不是要放在台電的資產負債表
transcript.whisperx[280].start 7550.549
transcript.whisperx[280].end 7576.523
transcript.whisperx[280].text 因為這樣子就顯得你們的這個幫政府去美化行政院的帳面然後使得你的這個帳面虧損很難看嘛你的財塊都點頭我告訴你那個委員那個如果如果部長編了預算您是不是可以支持部長這樣要補貼台電的話那就是就責行政院啊行政院來專案報告啊對不對我們當然是會支持不然我是覺得從公司經營角度很奇怪啊對不對
transcript.whisperx[281].start 7577.463
transcript.whisperx[281].end 7589.925
transcript.whisperx[281].text 你們爸爸媽媽撂的錢 叫這個孩子要扛這個孩子的帳面就很難看然後每天都成為標靶然後員工如果要加薪或者是發獎金你們到年底又會被唸
transcript.whisperx[282].start 7591.533
transcript.whisperx[282].end 7610.291
transcript.whisperx[282].text 對不對就一再因果循環啦我是幫台電的員工說話啦我只是說在你們將來的這個報告裡頭如果把政策跟你經營績效實質去分開這樣我才能夠看出說這個曾文森跟這個郭總經理來帶領這個台電經營績效好不好嘛
transcript.whisperx[283].start 7612.273
transcript.whisperx[283].end 7634.811
transcript.whisperx[283].text 不然到時候我們就說這是政策背的鍋怪在你們兩個身上我覺得也不對啦好不好我是就事論事啦以上的話大概是這樣具體的要求我想就是後面大概我再跟總經理這邊再來聊聊好不好再讓我詳細的理解好 謝謝台堂的我就是書面質詢你也說你今天有事有的你有事你書面質詢回答好 謝謝洪委員
transcript.whisperx[284].start 7655.779
transcript.whisperx[284].end 7669.939
transcript.whisperx[284].text 好接下來我們請謝依鳳委員質詢好謝謝主席我想要請拱部長請拱部長
transcript.whisperx[285].start 7679.87
transcript.whisperx[285].end 7706.201
transcript.whisperx[285].text 謝偉豪國務長早安我想請教一下就是美國川普總統他有公開的講台灣他說台灣偷走了美國的晶片產業而且要求所有在台灣做晶片的人都要搬到美國你認為他的目標是不是是多少的半導體產業
transcript.whisperx[286].start 7708.53
transcript.whisperx[286].end 7727.432
transcript.whisperx[286].text 台灣的半導體是經過40年來的努力我們憑的是實力可是他想要我們搬到那裡啊他有沒有跟你談You are running Taiwan對不對He is one of the對不對他有沒有跟你談他沒有跟我談沒有跟你談啊他都在媒體上講
transcript.whisperx[287].start 7729.127
transcript.whisperx[287].end 7745.461
transcript.whisperx[287].text 那所以你也不曉得到底美國政府他確切的目標是多少希望台灣的半導體業能夠整個搬到美國去我不可能 我們一定是先立足台灣才有佈局全球
transcript.whisperx[288].start 7746.345
transcript.whisperx[288].end 7763.294
transcript.whisperx[288].text 那所以你的紅線呢經濟部的紅線以台積電來講的話他一定是在當地他台灣現在台灣還是他最賺錢的生產基地而且最先進的技術也都有在台灣研發中心也都在台灣所以台灣會持續的壯大
transcript.whisperx[289].start 7764.935
transcript.whisperx[289].end 7780.662
transcript.whisperx[289].text 那全球布局他當然有他這個策略上的一些考量因為他如果不去美國的話那英特爾可能會壯大起來那對他也是可能很大的威脅所以他有必要去那邊做布局那我們也支持他這樣的一個做法
transcript.whisperx[290].start 7781.602
transcript.whisperx[290].end 7796.435
transcript.whisperx[290].text 可是總不能夠是整個供應鏈那當然不可能啦是不是所以經濟部有沒有什麼紅線沒有在實務上也做不到從廠商的商業利益策略規劃來講也不可能做到這樣的
transcript.whisperx[291].start 7797.185
transcript.whisperx[291].end 7823.664
transcript.whisperx[291].text 所以你們沒有設定一個界限因為產業如果對外投資的話一定金額以上都要經過我們這個投審師的審查就是投審會的審查我們當然會思考就是說這樣的投資會不會涉及幾個國家安全或整體的產業利益我們會通盤來考量那他們有沒有可能透過晶片法案
transcript.whisperx[292].start 7825.049
transcript.whisperx[292].end 7848.755
transcript.whisperx[292].text 就是來對於就是說把它提到這個ARC裡面或者是未來台美在貿易上面相關的各項的協商裡面它有沒有可能利用他們的就是晶片法案來降低我們台美之間就是晶片世代的差距呢
transcript.whisperx[293].start 7849.762
transcript.whisperx[293].end 7876.465
transcript.whisperx[293].text 包委員因為主要過去的晶片法案是拜登政府時代提出來的那主要是補助國外的廠商或是他國內廠商對美國的這個投資嘛但是川普總統現在已經他不補助了啊可是他直接他就是直接要求你要按照這個框架然後呢直接縮減了就是晶片世代的差距啊會不會
transcript.whisperx[294].start 7878.289
transcript.whisperx[294].end 7891.574
transcript.whisperx[294].text 晶片世代的差距還是要看它基本上的競爭跟良率那台積電現在的良率還是最好的其他的公司應該還是沒有辦法跟台積電來做這個良率上的一些競爭
transcript.whisperx[295].start 7892.728
transcript.whisperx[295].end 7912.534
transcript.whisperx[295].text 那我是說當然台積電的價格當然現在有一些就是說好像這個Intel會有一些拿到一些訂單嘛不過你也看到一些相關的報導包括華爾街他們報導他說那個量也很少事實上不具有對台積電的威脅性
transcript.whisperx[296].start 7913.354
transcript.whisperx[296].end 7932.729
transcript.whisperx[296].text 所以就是說台積電現在領先全球的這樣子的一個先進的技術製程是沒有辦法被取代的再來就是你認為我們不可能就是整個供應鏈都移到美國去是嗎
transcript.whisperx[297].start 7933.91
transcript.whisperx[297].end 7956.927
transcript.whisperx[297].text 當然不可能 我剛剛提到的那會多少立足台灣是根本對 那會多少那那個只是一個它策略上的一些佈局那會多少那策略上的佈局當然我剛剛提到的就是說我們是被動的廠商他有那樣的意願有那樣的需求的時候我們被動的審查他會不會有國安的疑慮或者是對我們整個產業上的衝擊我們做這樣的審查 對那
transcript.whisperx[298].start 7961.738
transcript.whisperx[298].end 7978.048
transcript.whisperx[298].text 你認為會多少呢?會多少?多少這個當然要台積電他自己決定啊所以也不確定?對,因為他提出來我們才能夠判斷說他這樣的狀況是不是對我們國家會有這個不利的衝擊這樣的情況是會超過3000億嗎?
transcript.whisperx[299].start 7984.784
transcript.whisperx[299].end 8010.522
transcript.whisperx[299].text 這個台積電沒有公布我們也沒有辦法去知道這件事情所以現在還沒有辦法確定嗎因為台積電現在公布的就是1650億美金那會不會超過3000億這個我沒有辦法回答我沒有辦法幫台積電回答所以你也沒有辦法確定而且我也不是董事
transcript.whisperx[300].start 8012.379
transcript.whisperx[300].end 8028.674
transcript.whisperx[300].text 所以要問國發會囉葉主委你那天跟他去美國你沒問他他不敢跟你講他可能也不便回答因為台積電他有專任的發言人制度嘛這個還是
transcript.whisperx[301].start 8030.182
transcript.whisperx[301].end 8058.05
transcript.whisperx[301].text 好 那再來就是我們知道說就是台糖他的這個蘭花是要在美國設立生產 接力生產嗎但是因應農業部的 農業部他們有一些相關計畫 是不是那信保基金有要協助嗎目前我們台糖是沒有跟這接觸 因為那個
transcript.whisperx[302].start 8059.231
transcript.whisperx[302].end 8077.045
transcript.whisperx[302].text 融匯部他是想就是說跟那個南華協會他們一個生產基地之類的信保基金他所開放的這個海外投資申請裡面當然除了傳產以外有沒有包含這個部分
transcript.whisperx[303].start 8077.867
transcript.whisperx[303].end 8104.267
transcript.whisperx[303].text 因為這個有點像農業又有點像產業這算不算報告委員 這個我們不想因為台糖目前都沒有跟這些貸款要去做事因為目前都是用自有的資金而且這個是蘭花協會他們組一個公司要去那邊做生產的工作那如果中小型的呢中小型的蘭花業者他們想要到海外進行接地生產這算不算 部長這算嗎
transcript.whisperx[304].start 8108.385
transcript.whisperx[304].end 8122.125
transcript.whisperx[304].text 因為農業部應該有相關的這個計畫在支持他們海外布局的一些相關的政策啦所以 信保基金部因為農業它本身有信用保證的機制農業部本來就有
transcript.whisperx[305].start 8124.868
transcript.whisperx[305].end 8143.913
transcript.whisperx[305].text 所以台糖沒有跟信保基金申請那未來就是說關於就是蘭花的部分進到美國去的這個生產基地那也算在農業部裡面不算在經濟部裡面因為台糖他只是提供那個場域啦提供那個場域給這個蘭花協會他們
transcript.whisperx[306].start 8146.734
transcript.whisperx[306].end 8174.763
transcript.whisperx[306].text 就是等於租給他們因為這涉及到未來你看在那個特別預算裡面有一些在關稅的補貼裡面有沒有因為這涉及到兩邊的到底是算在哪一個部分那個應該是農業部的主要是以南花的企業為主好那如果早期發電呢早期發電我想要請問的台湯是不是有早期發電
transcript.whisperx[307].start 8175.888
transcript.whisperx[307].end 8201.939
transcript.whisperx[307].text 有 那你們廠區發電做了怎麼樣我們最典型的是那個屏東東海峰的那個矽石廠裡面那這個得到英國認證的全世界第一個被認證是非常ok的當然因為我們那邊的養豬的數量還不是那麼多那要一定的量才會balance那目前還是處於虧損狀況但是你有沒有偷牌
transcript.whisperx[308].start 8202.759
transcript.whisperx[308].end 8226.731
transcript.whisperx[308].text 喔 泰坦不敢偷牌喔 偷牌不得了喔他那個...那個我是一個...所以你知道你有沒有偷牌是不是至少我們...我們要去檢查都沒有 好 OK但目前所至沒有人敢偷牌 因為偷牌抓到他工作都沒有了 退休金什麼都沒有沒有一個人會負擔這樣的情況這是天大的地大的事情喔 謝謝好 謝謝好 謝謝謝宜鳳委員
transcript.whisperx[309].start 8233.851
transcript.whisperx[309].end 8255.447
transcript.whisperx[309].text 待會鄭天才委員質詢完畢後休息8分鐘接下來我們有請鄭天才委員質詢主席有請台堂公司董事長有請台堂吳董事長吳董事長
transcript.whisperx[310].start 8263.732
transcript.whisperx[310].end 8290.683
transcript.whisperx[310].text 我們先看這個台糖的前身就是日本蛛絲會社那日本當初成立蛛絲會社以花蓮台東來講就是將很多的我們原住民的土地變成日本蛛絲會社的土地然後台灣光復之後
transcript.whisperx[311].start 8291.944
transcript.whisperx[311].end 8319.044
transcript.whisperx[311].text 這個土地帶往台塘日本日本株式會社或是日本這個沒有把這個也無法把這個土地帶回日本但是呢行政院成立了台塘台灣塘業監理委員會然後後來也就成立了台塘公司所以也就將這個這些土地這個行政院發布了這個
transcript.whisperx[312].start 8321.098
transcript.whisperx[312].end 8348.92
transcript.whisperx[312].text 收戶區第一位產業處理辦法就將這些日本知識會社的土地全部移給這個台糖公司成為台糖公司的土地有這樣的一個歷史背景所以後來我們很多的鄉親就要跟台糖成豬自己的土地
transcript.whisperx[313].start 8350.066
transcript.whisperx[313].end 8374.963
transcript.whisperx[313].text 被拿走了然後還要成租然後還要繳租金所以當初啊第一次的租業就是35年5月1號35年5月1號所以一直繳租金當台灣省政府時代我過去在台灣省政府服務曾經也跟台糖協調所以當時有這個
transcript.whisperx[314].start 8378.206
transcript.whisperx[314].end 8402.277
transcript.whisperx[314].text 增編為原住民保留地後來經審之後第一次是在95年行政院核定將台塘的原住民使用的土地符合增花邊原住民保留地的這個架構由人民會架構我那時候是在人民會擔任副主委常務副主委
transcript.whisperx[315].start 8403.629
transcript.whisperx[315].end 8426.717
transcript.whisperx[315].text 然後第二次架構112年7月27號第二次架構當然如果省政府不算的話就行政院來講是第二次我們看這個行政院的函行政院函裡面原則同意並照國家發展委員會審議意見辦理我們現在談這個國發會的審議意見
transcript.whisperx[316].start 8435.04
transcript.whisperx[316].end 8458.908
transcript.whisperx[316].text 國發會審議的意見在瓜福二那邊特別提到因為真化邊原住民保留地從過去台灣省政府時代76年開始調查然後77年決定只要是能夠證明77年2月1號以前原住民就使用祖先的土地
transcript.whisperx[317].start 8459.901
transcript.whisperx[317].end 8486.518
transcript.whisperx[317].text 就可以增化編維研作品保留地這是當時的一個所以國發會也依這個特別提到7721因為上次我們第一次第二次架構都是用35年以前那個之後的有一部分也有架構但是我們現在國發會就特別提到7721以前只要符合
transcript.whisperx[318].start 8487.878
transcript.whisperx[318].end 8510.92
transcript.whisperx[318].text 台灣省政府時代所定的祖先留下來的土地可以證明的都可以所以就以7721所以這個部分要請台湯公司把它整個只要是原住民有成租的或者是有佔用的
transcript.whisperx[319].start 8511.84
transcript.whisperx[319].end 8539.161
transcript.whisperx[319].text 你把這些土地還沒有被園民會架構增變為原住民保留地的全部把它拿出來給這個把土地的地段地號還有誰使用這個土地誰承租誰佔用這個土地給園民會 園民會會透過他的增化變原住民保留地的程序去調查 去了解
transcript.whisperx[320].start 8540.576
transcript.whisperx[320].end 8566.294
transcript.whisperx[320].text 這樣的話就可以繼續在辦理行政院所核定的第三次的架構這是國發會所交辦的一個任務所以這個部分我本席也曾經質詢過在114年 去年也質詢了所以這個部分不曉得我們的同仁有沒有新的進度
transcript.whisperx[321].start 8568.502
transcript.whisperx[321].end 8593.508
transcript.whisperx[321].text 誒 報告委員齁 那個 當然上次也 也那個該 該被降官是反原住民的大概都 都會處理 但是我們一定會遵照這個 我們沒有問題來做這樣的那個處理齁 那當初當然原住民保留地的地方 還有有些地方齁 我家在仲田 隔壁就台南的土地一點點而已 那為什麼勒 因為當初齁
transcript.whisperx[322].start 8594.568
transcript.whisperx[322].end 8618.093
transcript.whisperx[322].text 政府要徵收那個要納稅很多人都不要去納稅因為那時候的那個收入很低嘛每人都要繳稅大家都不要那不要讓有一些政府就台糖就被台糖去繳稅那變成台糖的土地那所以這個有歷史的背景那這個當然那個台糖也肩負的就是說
transcript.whisperx[323].start 8618.683
transcript.whisperx[323].end 8626.803
transcript.whisperx[323].text 那個繳稅然後看幫政府看管土地的功能啊謝謝那我們一定會遵照那個相關的
transcript.whisperx[324].start 8628.464
transcript.whisperx[324].end 8656.383
transcript.whisperx[324].text 對那個董事長你講的是一小部分重點是重點就是說國發會已經寫得很明確只要7721以前使用祖先的土地到現在無論是出租的或是佔用的都希望能夠透過振發變成人民保育地當然就是要去演命會還是要去架構那演命會要去釐清所以你們必須你們的責任
transcript.whisperx[325].start 8658.224
transcript.whisperx[325].end 8685.751
transcript.whisperx[325].text 就是依國發會的意見把這些符合這個條件的全部給人民會 人民會去了解報告委員 我們是有這樣做現在有簽了二七案但是我們會繼續再處理是有在進行的 謝謝這個部分要請台糖公司繼續加油但是很重要的
transcript.whisperx[326].start 8687.41
transcript.whisperx[326].end 8695.402
transcript.whisperx[326].text 這裡面之所以一直會爭執有時候會拖很久你們台堂一直會強調要試駕 要用試駕
transcript.whisperx[327].start 8699.662
transcript.whisperx[327].end 8726.232
transcript.whisperx[327].text 過去這個第一次的時候九十幾年第一次的時候是用公告限制公告限制現在我們都是按照公告限制不是按照市價喔我知道這個董事長如果從我剛才就這個整個台塘起的這個土地你們是賺很多啦為什麼呢第一個本來就不是你買的
transcript.whisperx[328].start 8727.605
transcript.whisperx[328].end 8747.059
transcript.whisperx[328].text 不是你台糖公司,一個公司通常土地都是自己買的,對不對?台糖公司的土地不是買的,是政府一個辦法把它直接就交給你,這是第一個。第二,我們的鄉親自己的土地,
transcript.whisperx[329].start 8748.089
transcript.whisperx[329].end 8775.393
transcript.whisperx[329].text 然後還要繳租約繳了幾十年的租約從民國35年開始一直繳租約我們要花很多年力那個我知道但是畢竟你你拿到的是租金那個董事長你可能不是很清楚之所以可以真化編寶的地事實上我們的鄉親因為當初是一整片
transcript.whisperx[330].start 8776.809
transcript.whisperx[330].end 8790.682
transcript.whisperx[330].text 日本的時候是一整片事實上我們的鄉親的住家在那邊的或是自行耕種的這些自從台糖接收以後也一樣繼續使用
transcript.whisperx[331].start 8792.683
transcript.whisperx[331].end 8806.882
transcript.whisperx[331].text 這才會有成豬才會有成豬才會繳租約所以事實上是他自己使用在管理你們只不過是繳收租金所以這個部分
transcript.whisperx[332].start 8807.563
transcript.whisperx[332].end 8834.528
transcript.whisperx[332].text 不要太在意說我有花很多的錢沒有沒有所以這部分我們就依相關的規定來辦理好不好好謝謝委員以後不要再討論什麼市價了沒有沒有按照過去的案例公告限值對我們都是遵照公告限值對對對對謝謝好謝謝委員謝謝好謝謝鄭天才委員謝謝吳董事長我們現在休息兩分鐘
transcript.whisperx[333].start 8845.776
transcript.whisperx[333].end 8846.557
transcript.whisperx[333].text 哦 你要配
transcript.whisperx[334].start 8867.191
transcript.whisperx[334].end 8869.634
transcript.whisperx[334].text 哦,对,对,对,对。
transcript.whisperx[335].start 8883.965
transcript.whisperx[335].end 8887.549
transcript.whisperx[335].text 哇,這咖啡好醉喔,風景好醉喔
transcript.whisperx[336].start 8903.924
transcript.whisperx[336].end 8915.767
transcript.whisperx[336].text 叫我卡住了他怕你撞到他我以為你跟當時的地方沒有了我們現在的分歧啊因為階段的改善第二階段的改善讓我們在體育上活動中進一步好OK 再一次
transcript.whisperx[337].start 8932.023
transcript.whisperx[337].end 8948.793
transcript.whisperx[337].text 歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐~~歐
transcript.whisperx[338].start 8967.079
transcript.whisperx[338].end 8967.74
transcript.whisperx[338].text 三路三路
transcript.whisperx[339].start 8979.33
transcript.whisperx[339].end 8982.892
transcript.whisperx[339].text 哎呀,我出鏡王幹什麼?哎呀,我出鏡王幹什麼?有同意嗎?
transcript.whisperx[340].start 9008.285
transcript.whisperx[340].end 9034.047
transcript.whisperx[340].text 你同意啊 還有什麼要討論我同意 經貿組織 國民局 經貿組織 教育平台以外的 以外的組織 每一個組織都沒有 完全沒有所以你要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要 要
transcript.whisperx[341].start 9043.022
transcript.whisperx[341].end 9044.543
transcript.whisperx[341].text 中文字幕 李宗盛
transcript.whisperx[342].start 9069.894
transcript.whisperx[342].end 9070.235
transcript.whisperx[342].text 好,我們來試試看
transcript.whisperx[343].start 9087.824
transcript.whisperx[343].end 9095.933
transcript.whisperx[343].text 我還沒吃東西,我還沒吃東西,我還沒吃東西,我還沒吃東西,我還沒吃東西,我還沒吃東西,我還沒吃東西,
transcript.whisperx[344].start 9104.983
transcript.whisperx[344].end 9109.268
transcript.whisperx[344].text 所以現在大概像這樣大概都OK啦至少學習對我們大家比較了解一點
transcript.whisperx[345].start 9121.964
transcript.whisperx[345].end 9125.268
transcript.whisperx[345].text 這間廟要蓋住,要處理,處理,這間廟要蓋住,處理,處理不在當時,處理要怎麼看?
transcript.whisperx[346].start 9140.18
transcript.whisperx[346].end 9140.34
transcript.whisperx[346].text 記者 記者 記者 記者
transcript.whisperx[347].start 9156.778
transcript.whisperx[347].end 9163.166
transcript.whisperx[347].text 自動愛拜祖靈 宣傳愛拜祖靈祖靈要在基督御聖中心演繹正常經驗以保護予神聖神的恩公愛拜祖靈
transcript.whisperx[348].start 9174.941
transcript.whisperx[348].end 9177.803
transcript.whisperx[348].text 我現在已經很累了我現在已經很累了我現在已經很累了
transcript.whisperx[349].start 9339.585
transcript.whisperx[349].end 9366.835
transcript.whisperx[349].text 好我們現在繼續開會接下來有請賴慧玟委員質詢好謝謝主席我們請台糖那個續職部執行長台糖吳董對台糖公司續職部執行長董事長你請回你請回
transcript.whisperx[350].start 9369.895
transcript.whisperx[350].end 9387.605
transcript.whisperx[350].text 市長我想這個問題那個請問你最清楚那就是說我要跟你探討的這個議題其實一直都是重複被探討就是台糖的農業循環養豬場的一個改建一延再延
transcript.whisperx[351].start 9388.906
transcript.whisperx[351].end 9409.64
transcript.whisperx[351].text 延盪的一個進度我們很明顯看到就是說台糖的龍躍循環養豬場他的投資一個計畫從107年啟動我們希望希望就是說這13座可以就是投資了124億那目前你的進度到哪裡那我想聽聽看經過了8年
transcript.whisperx[352].start 9412.121
transcript.whisperx[352].end 9436.459
transcript.whisperx[352].text 來 執行長有沒有了解是 謝謝委員目前的進度是我們到今年都已經把那個肉出廠的部分都已經有進駐飼養到今年底之前應該可以全部完工那明年全力推進在後年會恢復到我們計畫的飼養量後年會恢復到那個你們計畫的飼養量來 我們看一下
transcript.whisperx[353].start 9440.896
transcript.whisperx[353].end 9454.403
transcript.whisperx[353].text 這個養豬場跳票在跳票2024年宴會裡頭我執行經濟部行政院院長台堂回顧說這一個在2024年7月的第一期這六座豬場統包的工程全數會進行飼養
transcript.whisperx[354].start 9457.426
transcript.whisperx[354].end 9473.124
transcript.whisperx[354].text 如何跳票第二期七座的豬場在2024年那個年底飼養也跳票好相對於就是說相關的一個進度我們甚至看到了就是說像你現在這樣子回應我
transcript.whisperx[355].start 9474.335
transcript.whisperx[355].end 9485.646
transcript.whisperx[355].text 在未來他可以如期的飼養為什麼我們不要真正的去面對問題你的第二期四座的肉豬場預計在114年4月底完工三座的種豬場你預計在114年6月底前完工可是這個是你在2025年1月13號台糖的恢復
transcript.whisperx[356].start 9497.757
transcript.whisperx[356].end 9513.622
transcript.whisperx[356].text 我們赤字白譯換來的是一再的跳票現在也跳票了你看在今年一月我們有一個委員高雄的委員也是在質問這一個問題執行長你還是要告訴我這樣的一個答案嗎
transcript.whisperx[357].start 9515.383
transcript.whisperx[357].end 9526.655
transcript.whisperx[357].text 經濟部長在這個地方 你的董事長在這個地方那你如何來督促這一個這一個本來是要養豬的 結果豬豬變成豬肉怎麼辦啊 我們要面對問題啊
transcript.whisperx[358].start 9530.879
transcript.whisperx[358].end 9553.897
transcript.whisperx[358].text 我們要面對問題 我們不要去逃避問題你的包商擺爛那我們台談不能消極啊 這個是一個國家級的一個產業如果我們淪為這樣子惡性的一個循環你現在還沒有驗收收場的 還有葉梅一二 斗六 鹿草 南景 善化還有南沙 還有401 402你還要先處一種大小一跟二那怎麼辦呢驗收延宕
transcript.whisperx[359].start 9559.301
transcript.whisperx[359].end 9575.818
transcript.whisperx[359].text 它其實不是單純的工程的一個進度問題你包商擺爛 你台廠消極的不監督 年代的導致你下游的廠商你款項卡關啦 你資金斷吹你這個形成產業鏈惡性的一個循環 你現在給我捏多少錢啊
transcript.whisperx[360].start 9578.544
transcript.whisperx[360].end 9601.998
transcript.whisperx[360].text 包委員我們目前的進度基本上都是給依照工程進度給那一起的同胞商大概都會到70幾%你如果說按照進度給你已經給了70幾%的工程費了那為什麼大家一定要驗收啊驗收才可以領到後面的尾數款啊那為什麼就是說一個124
transcript.whisperx[361].start 9605.059
transcript.whisperx[361].end 9631.049
transcript.whisperx[361].text 124億的重大工程的投資你不應該淪為一個沒有責任沒有進度沒有管理的工程的一個災難我們怎麼樣去處理這些問題呢那你的法律是在哪裡呢台堂的法律是有沒有提供你們什麼樣的一個建議你延宕了這麼久那我希望我希望這個我也是收集了很多很多的一個資料就是說有沒有機會減價驗收
transcript.whisperx[362].start 9633.51
transcript.whisperx[362].end 9644.341
transcript.whisperx[362].text 因為你沒有驗收的話 他拿不到畜牧登記證嘛你就沒辦法吃嘛你不要再用當初合約的那一個標準來驗收有沒有機會這樣子做呢你們的法律是有沒有做過這樣的一個討論呢執行長我來
transcript.whisperx[363].start 9652.328
transcript.whisperx[363].end 9668.112
transcript.whisperx[363].text 這個流程的部分我們已經有做過評估剛剛您說的減價驗收依照公共工程採購法我們在還沒有驗收這個動作之前我們不可以提出減價驗收這個字眼出來那基本上
transcript.whisperx[364].start 9668.992
transcript.whisperx[364].end 9681.619
transcript.whisperx[364].text 我們也沒有消極帶多或者把它當成蚊子管我們能夠用的空間我們已經提早使用市長我跟你講你這個政府採購法第72條你說還沒有驗收以前你不能先提出減價驗收
transcript.whisperx[365].start 9683.78
transcript.whisperx[365].end 9705.112
transcript.whisperx[365].text 你可能要再回去了解一下我跟你講如果你還是一直堅持這樣的一個態度的話這個東西是無解的是無解的124億這怎麼去延續了兩任的董事長現在已經是第三任的董事長為什麼我不讓董事長上來這個沒有董事長的事情
transcript.whisperx[366].start 9706.36
transcript.whisperx[366].end 9733.399
transcript.whisperx[366].text 可是你怎麼監督他你的責任重大是所以我在這裡要求就是說台廠在一個月內提出這個13座豬場 豬場的一個進度跟驗收的一個期程不能再消極的敷衍了那你清楚的交代每一個廠他的卡關的原因缺失的一個項目責任的一個歸屬跟正式驗收的一個啟用時程不要再把這個
transcript.whisperx[367].start 9734.9
transcript.whisperx[367].end 9761.261
transcript.whisperx[367].text 講得這麼好聽 我跟你講 再讓你兩年 你也沒辦法嚴修啦那我也希望台糖繼續啟動這個理業管理專案的一個機制你要啟動理業管理專案的一個機制啊 對那些消極代工或是理業不利的一個承包商你要依法就責啊我們是吃了慢虧啊你這個大同公司這麼大你不是只有做電鍋啊 你的股票上市啊 怎麼他來欺負我們台糖
transcript.whisperx[368].start 9764.644
transcript.whisperx[368].end 9778.935
transcript.whisperx[368].text 那你這個山水林公司工程公司他的資本額也三四十億都是一個非常大的一個公司沒有沒辦法改革的工程問題就是看我們自己台廠的一個態度
transcript.whisperx[369].start 9779.455
transcript.whisperx[369].end 9806.555
transcript.whisperx[369].text 我覺得限期改善才華球場還有啟動替代的方案不要再拖了那台糖跟經濟部應該提出產業的一個銜接的方案不要讓工程跟驗收不斷的一個延宕拖垮下游的廠商我們不希望看到台灣的養豬產業現代化升級一再的空轉好不好 執行長那個一個業內提出這樣的一個計畫給本席是 謝謝主席好 謝謝
transcript.whisperx[370].start 9812.261
transcript.whisperx[370].end 9813.222
transcript.whisperx[370].text 首先邀請經濟部貢部長
transcript.whisperx[371].start 9840.602
transcript.whisperx[371].end 9858.678
transcript.whisperx[371].text 陳偉豪總部長好今天這兩家公司台灣電力公司、台灣糖業公司剛好都是80大壽這是好日子不過我進來看一看本來要說這80歲我們要好好求職但是我看到
transcript.whisperx[372].start 9859.744
transcript.whisperx[372].end 9883.687
transcript.whisperx[372].text 我們鞏固長你們的作為好像忠友也是忠友好像也是忠友也是 三家都是巴士到時候都是好事啊但是我看到你們作為我實在不好意思也不敢公為來清楚你們我講一個簡單的問題我們以小觀大你那個logo為什麼要去改是不是你下的指令
transcript.whisperx[373].start 9884.948
transcript.whisperx[373].end 9892.55
transcript.whisperx[373].text 我那時候沒有在經濟部沒有 你沒有下指令 請我們的台電董事長上來 麻煩一下董事長你很優秀 這個你有沒有下指令下指令說把台灣電力公司的LOGO改為台灣的LOGO電腦打一打能出來 你們花了96萬還是98萬
transcript.whisperx[374].start 9914.701
transcript.whisperx[374].end 9935.643
transcript.whisperx[374].text 來跟我講你到底誰下的一個我跟委員報告第一個就是以台電公司來講我們現在商標登記兩個都在沒有替換你說什麼我的商標登記兩個都在就是原來的跟新的都在所以我要跟委員報告第一個是它並存第二個是我跟委員報告你在問這個事情
transcript.whisperx[375].start 9937.265
transcript.whisperx[375].end 9963.054
transcript.whisperx[375].text 那那個2023年的時候其實是次長兼董事長我是覺得你是做能力大事人你今天的說法自然其說我不相信為什麼以小班大從這一點你們這些政務官不是你們台電公司的專業人員都被你們這些政務官這樣折磨你有沒有看到王總經理下台的時候背著這樣子在走
transcript.whisperx[376].start 9964.354
transcript.whisperx[376].end 9990.189
transcript.whisperx[376].text 這幾年啊真的別說我為什麼我確定把logo拿出來當然有人在講但是有一點我們核四當初啊會合的時候說核電廠我們要備用我記得看了一個新聞晚上的時候會顯示執政黨的威武雄壯把那個還沒用的核燃料棒晚上印出去印回美國件價折送
transcript.whisperx[377].start 9991.689
transcript.whisperx[377].end 10012.016
transcript.whisperx[377].text 這是很誇張的這個委員報告立法院有做了一個決議要我們把展亮棒送出去哪一個時候是國民黨立委人士比較多還是民進黨立委人士比較多你心中有定見嘛你這麼優秀的
transcript.whisperx[378].start 10013.846
transcript.whisperx[378].end 10026.192
transcript.whisperx[378].text 這件事實在講我覺得很悲哀不然我教你一樣你會出名你把台灣電力公司改為日本台灣Power Company這樣你就出名了
transcript.whisperx[379].start 10032.096
transcript.whisperx[379].end 10056.945
transcript.whisperx[379].text 不要去做那些小事啦,沒有意義,好看嘛!你沒下去做,大家是害怕死的好好的檢討一下,好不好再來,前部長你沒有參與喔,好讓你回去一下當時你不要這樣啊,這樣難看啦,真的講全個台灣人都看不過去啊
transcript.whisperx[380].start 10058.032
transcript.whisperx[380].end 10084.431
transcript.whisperx[380].text 好不好,還有那個王總經理真的這幾年任來任願是要好好,部長你比安妮要好好照顧人家那個實在是奉公守法忍辱負重達成執政黨的目標雖然不喜歡做,也要把它完成真的要好好的照顧一下看他在交接的時候有時候心裡也難過啦好,新任的郭柯其他的回收
transcript.whisperx[381].start 10089.564
transcript.whisperx[381].end 10105.479
transcript.whisperx[381].text 我看你教這個典禮裡面,說得很好啦你現在八十大壽,你是覺得你垂垂老移還是你才一定要息事待發?郭總統你的責任很重大,你有能力的人我看過你經歷,我們也接觸了
transcript.whisperx[382].start 10108.021
transcript.whisperx[382].end 10125.756
transcript.whisperx[382].text 幾次了 都是很有擔當 很有負責任的 要呈現其後我跟委員報告台電公司當然面對了非常多的挑戰那我也有特別說明就是說台電其實現在整個同仁平均年齡也年輕那其實剛才包含你問到的一些問題
transcript.whisperx[383].start 10127.162
transcript.whisperx[383].end 10155.815
transcript.whisperx[383].text 包括我想說 譬如這張啦 委員你三月之內兩年折合完就斷了那個是變態苦笑的我要跟委員報告第一個就是台電公司所有的表現董事長要蓋瓜負責任這個絕對是前提但我們很多同仁也做了很多新的改變董事長也不能押忍這些事所以我很少去刪你們預算到前一段時間我完全同意我跟你說喔 你現在做的
transcript.whisperx[384].start 10156.235
transcript.whisperx[384].end 10165.645
transcript.whisperx[384].text 在這個時代裡面我們郭總統有一句話我很欣賞也要鼓勵你你說是穩定供電還有電網的強韌性
transcript.whisperx[385].start 10167.864
transcript.whisperx[385].end 10192.737
transcript.whisperx[385].text 那這裡面後面又帶了一句話電力由我們傳統的公共服務業已經進步成為國家發展及產業競爭力的一個關鍵戰略支援變成也是城市競爭力的重要基石張十六總經理您在講話我都很仔細看你這個轉變你也能轉變起來
transcript.whisperx[386].start 10195.882
transcript.whisperx[386].end 10222.73
transcript.whisperx[386].text 不過按我的說法,其實現在電力很重要你們花一千億,撩一千億錢大家容然知識,就是我們要有競爭力,永遠進步所以你80歲,等於現在你來接這個總經理跟董事長是在轉變的時候,變成一個戰略書院啊當然這裡面有很多種電力就是國力,也是城市的一個競爭力
transcript.whisperx[387].start 10224.61
transcript.whisperx[387].end 10242.775
transcript.whisperx[387].text 淨零排碳你們重要啦我看這世界亂到最後也不曉得會不會淨零排碳再來半導體及AI發展這個是你們要面對的問題再來通膨及聯合能源的價格波動這你都要注意那我現在請教
transcript.whisperx[388].start 10244.712
transcript.whisperx[388].end 10269.653
transcript.whisperx[388].text 所以以後的AI酸溢中心就是AIDC的酸溢中心最好離電廠5公里到10公里之間你會推展這個計畫你說北部不適宜沒有我沒有說北部全部不適宜我在電廠周邊其實是我們可以去支持的部長沒有請你上台
transcript.whisperx[389].start 10271.007
transcript.whisperx[389].end 10288.869
transcript.whisperx[389].text 我告訴你電廠隔壁你既然提出來你真的有作為應該在電廠所在地的話跟在地的縣政府合作一下去開闢一片天地現在大家要去做不敢做你到現在建設部有同意嗎你台電有同意嗎
transcript.whisperx[390].start 10289.77
transcript.whisperx[390].end 10305.378
transcript.whisperx[390].text 大家會怕那有幾個電廠幾乎都在比較邊緣邊壁的地方你應該好好去規劃一下真的把台灣的AI算力中心把它建立起來你要這樣做嗎不然你自己吹公公的我相信
transcript.whisperx[391].start 10307.247
transcript.whisperx[391].end 10335.104
transcript.whisperx[391].text 那個我跟委員報告這件事情是這樣台電會提供基礎的電網在電廠旁邊我們工作起來會比較有效率而且會比較穩定那至於說政府各級政府中央政府也好地方政府也好在規劃這個未來的算力中心或是算力服務中心怎麼樣子設置這個我們只要地方政府有提出找台電台電就會去跟他們進行討論我只是說你有這樣過時阿部長
transcript.whisperx[392].start 10337.965
transcript.whisperx[392].end 10355.939
transcript.whisperx[392].text 報告部長,昨天看了一下,如果地方提出這樣AI算力延期的專機,你要不要來支持?在電廠隔壁不要別的地方,它靠海,暖風一吹的時候,散熱又更快。
transcript.whisperx[393].start 10358.12
transcript.whisperx[393].end 10386.395
transcript.whisperx[393].text 就是AI算力中心要分成幾個面向來看第一個他確定有需求面他可以應用那這個當然廠商設計者他們要去思考的那如果在地的政府可以用這些算力那是最好那你不要自己選嗎?我現在要吃這裡另外就是供給端供給端剛剛提到的要跟電力比較靠近那個地方是比較好的因為他不用拉長很長的線的話這個可能電力上的一些損失
transcript.whisperx[394].start 10387.815
transcript.whisperx[394].end 10416.595
transcript.whisperx[394].text 對 那電網也比較安全啦這個算力中心也比較穩固啦因為我看主席在那邊了我們電源政府要做 我自己一組來 要來搞分析器另外你要注意一個現象AI電力算力商用電很多那是公共投資的法他們如果要用台電的電費的話你們要提高啊不然百姓很苦 你要注意這個問題喔以前在國外發生的 我是先提醒
transcript.whisperx[395].start 10417.655
transcript.whisperx[395].end 10423.197
transcript.whisperx[395].text 用電大戶本來它的價錢就比較高這個規劃繼續的牟利現在電力變成國力了郭總經理笑一下嘛 當總經理的人笑一下 滿懷信心好不好好 謝謝來我再問一下台廠
transcript.whisperx[396].start 10451.056
transcript.whisperx[396].end 10461.026
transcript.whisperx[396].text 董事長你好我看你在今日的時候八十週年說上山下海台塘的土地牛跑遍不然我不談這個問題剛剛賴會委員談這個問題那個問執行長你過來一下請過來一下
transcript.whisperx[397].start 10473.749
transcript.whisperx[397].end 10494.826
transcript.whisperx[397].text 董事長這個人才要好好宅配剛剛說要減價驗收減價驗收我是覺得你水聯市的那種養殖場你全部功虧一簣因為當時在10號裡面發生了很多問題他們不敢驗收我跟你提醒這件事情是很嚴重的錯誤
transcript.whisperx[398].start 10496.956
transcript.whisperx[398].end 10522.141
transcript.whisperx[398].text 南部的太厲害了那個手腳太多了都不能正常的讓那些存包商正常來做生意我只安心一點你要選交易說一定要符合標準不是我不要我要你找他幹什麼還好他堅持立場因為我大概了解這個過程我只要堅持原則不然你這個養豬我很自信
transcript.whisperx[399].start 10523.001
transcript.whisperx[399].end 10537.758
transcript.whisperx[399].text 我很多養殖界的朋友,我從基層做起,你們這樣下去又不會賺錢,人家的民間大家就賺大錢,大家看養殖場都是變質的,只有你財產都是為了國家穩定,我看不習慣。
transcript.whisperx[400].start 10539.159
transcript.whisperx[400].end 10567.884
transcript.whisperx[400].text 真的要改進啦有做事的人要支持啦好不好本來要跟你添草很多已經時間超過了改天再好好的討論這一些好的人才實際在座的人覺得要把這個水靈式的養殖場要弄好你一定要有幾個堅持的原則現在那不一樣來對以前啊你們的人員手腳一直很多包商做的都怕
transcript.whisperx[401].start 10569.432
transcript.whisperx[401].end 10583.677
transcript.whisperx[401].text 我只是跟你暗示一下,不然清災就崩潰,不然你打整個都沒有,那要讓民間企業,讓民間去經營,再奔你自己去經營,大家又會嘆息,好謝謝謝謝陳昌明委員,謝謝董事長好,接下來我們有請賴氏寶委員
transcript.whisperx[402].start 10599.757
transcript.whisperx[402].end 10626.917
transcript.whisperx[402].text 謝謝主席 請各位先進有請部長跟董事長兩位一起好嗎台電的台電 曾董我今天在兩位長官兩位長官好我特別整理了一個資料你們跟外界廠商有些爭議第一個 現在還在炒
transcript.whisperx[403].start 10628.038
transcript.whisperx[403].end 10647.04
transcript.whisperx[403].text 美商和泰他指引你們圖利特定廠商因為他合一合二的室內乾燥設施都是他做的和善廟飆到美商的他就幫你碰碰球這樣是第一個案子第二個案子
transcript.whisperx[404].start 10649.863
transcript.whisperx[404].end 10676.388
transcript.whisperx[404].text 離風電這個深微底下的負微城南台電離岸風電二期工程台電同意追加55.6億這個是最有利標第三個台中通宵海底輸電線管線工程最有利標你看第二個案子跟第三個案子都是先搶到標再加價一加都是五六十億五六十億
transcript.whisperx[405].start 10677.208
transcript.whisperx[405].end 10698.253
transcript.whisperx[405].text 不可謂不多啊這個有鬼啊 部長啊這裡面有鬼啊 部長你要講一下嗎怎麼會都這樣報告委員 所有的所有都是按照合約兩兆的合約來辦為什麼你要追加預算追加這麼多沒有 那因為合約裡面本來就有允許不可抗力運輸的時候來來來 你這樣講 報告委員這顆是總共預算多少總共預算多少
transcript.whisperx[406].start 10704.934
transcript.whisperx[406].end 10727.165
transcript.whisperx[406].text 這個是55億是公共工程委員會調解的債務不是這個海淀當商變統一曾董事長你要講一下這個護衛他總工程多少錢五百多億五百多億追加10%再來看通宵總預算多少
transcript.whisperx[407].start 10730.398
transcript.whisperx[407].end 10755.197
transcript.whisperx[407].text 那我先跟委員報告沒有追加喔 這個沒有追加這不是得票以後追加 這個跟前面你講的事情完全不一樣這是採購的時候的價格我要這樣講 這個是採購 因為我們做可言第二個案子 剛才那個就是追加 怎麼不是呢上面那個是 這個不是 下面這個沒有第三個不是
transcript.whisperx[408].start 10757.56
transcript.whisperx[408].end 10766.614
transcript.whisperx[408].text 我要跟你強調這個啊前面那個是因子啦齁今天你們好好去這社會觀感不好啦你們又在大手戴槍還產生這樣子結果你們對我們社區摳門摳到面
transcript.whisperx[409].start 10773.786
transcript.whisperx[409].end 10778.268
transcript.whisperx[409].text 我跟你講 我的選區裡面109年到114年 總共248支的電線桿109年是什麼意思 6年前他們就去匯桿了可以做喔 要做喔 地下化 美化市容 很好你們去做喔 結果呢
transcript.whisperx[410].start 10793.929
transcript.whisperx[410].end 10809.982
transcript.whisperx[410].text 六年前到現在為止擺爛總共兩百四十八次這個東西你們前面有錢給人家一直追加啊這就說要沒錢啊因為立法會不跟你爭資啊你們今年還賺了去年還賺了七百多億結果因為這個事情
transcript.whisperx[411].start 10812.063
transcript.whisperx[411].end 10815.485
transcript.whisperx[411].text 部長你聽好啊 我再跟你強調一遍部長啊盯著我們總經理每次來這裡就給我這樣子滿足跑火車沒問題啊 沒問題啊什麼之類的 結果都有問題到現在為止到現在為止248隻的電線幹地下化的工程通通在延盪你講一下 來
transcript.whisperx[412].start 10835.034
transcript.whisperx[412].end 10844.678
transcript.whisperx[412].text 沒有 我跟委員報告啦齁 你不提前面的事講簡單一點 地下化事務 台電都還是積極在做什麼都沒有做 我停擺啊 什麼都停擺啊我請同仁拿數字去跟你們報告總經理講 總經理講一下副總 來 我們請副總講
transcript.whisperx[413].start 10856.163
transcript.whisperx[413].end 10860.285
transcript.whisperx[413].text 文山區大概也是這幾年下地最多的一個區啦109年到現在六年我們已經完成了37件這幾年完成37件都是在委員的選區裡面啦這當然也感謝委員都一直在協助但是
transcript.whisperx[414].start 10880.311
transcript.whisperx[414].end 10894.499
transcript.whisperx[414].text 因為最近坦白講是用戶用電的案件非常多所以一些施工量 因為人家要用電的 要開沒我們的生活難不是啦你們現在是噴來一個問題土方漲價啦 沒有人要飆啦這問題你們也不該管土方的問題是最大問題 你都沒有進入狀況
transcript.whisperx[415].start 10901.863
transcript.whisperx[415].end 10918.073
transcript.whisperx[415].text 沒有 跟委員報告土方 土方漲了幾倍啊大台北地區土方的價格 土方很嚴重沒有人要買台電甚至自己在想辦法解決這個裡面解決我們很積極在處理 引起很多民怨你們這樣製造知道嗎我們都說台電賭不錯啦台電利潤不要傷好啦 我們都不動台電要給你積極 結果
transcript.whisperx[416].start 10932.201
transcript.whisperx[416].end 10936.903
transcript.whisperx[416].text 欸 你們說因為立法院要政治案不給通過 所以通通停擺威脅我們咧 怎麼會這樣子呢我這樣講齁 那個執行的量拿來對照 你大概就會清楚喔這講到通通停擺就沒有248隻啦停擺是停擺248隻我們做的就不加嘛 我們其實剛剛講的已經完成37案了
transcript.whisperx[417].start 10957.79
transcript.whisperx[417].end 10968.298
transcript.whisperx[417].text 我坦白說我坦白說你那個地方有些地方比方說你遇到同學不讓上的東西我們想盡辦法都在解決現在最大的問題我的了解最大的問題是土方因為你要標出去沒有人要標這麼解決你告訴我
transcript.whisperx[418].start 10978.286
transcript.whisperx[418].end 11003.321
transcript.whisperx[418].text 我跟委員報告 其實國土署有公布了四個解決的方案那其中還有一項包括 家駕啊前面的可以追家的 為什麼這裡不能追家的台電對於家駕這件事也非常審慎所以如果我們有可能主要是這樣子 我們這邊的土方如果最後去的話是有地方去的就台北港是可以去 但是中間要有站制站制的部分台電自己都在想辦法
transcript.whisperx[419].start 11005
transcript.whisperx[419].end 11017.904
transcript.whisperx[419].text 找可以暫置的地方供給這些工程的單位能夠在土方能夠先暫置然後不要為惡意抬價你實話實話給我提一個解決方案我們請我們副總去說明好不好三個月可以嗎 三個月給我解決方案兩個月兩個月解決方案
transcript.whisperx[420].start 11030.988
transcript.whisperx[420].end 11037.43
transcript.whisperx[420].text 要提給我 要做得到啊因為我跟你講 部長跟董事長這個副總區認真 人也不錯但是常常南村跑火車開會的時候都答應 結果都沒有做
transcript.whisperx[421].start 11045.913
transcript.whisperx[421].end 11047.494
transcript.whisperx[421].text 他沒做 他做不到其實你剛才都把理由講出來了我開了好幾次的協調會
transcript.whisperx[422].start 11068.767
transcript.whisperx[422].end 11072.93
transcript.whisperx[422].text 好啦 注重執行令 OK好 謝謝賴世寶委員接下來有請鍾嘉賓委員質詢
transcript.whisperx[423].start 11099.307
transcript.whisperx[423].end 11115.542
transcript.whisperx[423].text 主席 再讓我先進 列席的政務機關長官員 會長 公共夥伴媒體記者女士先生有請我們台堂的吳董事長以及台堂的砂糖事業部 蓄質事業部兩位陳執行長 溫時行長以及環境保護處的鍾處長和農業經營處的張處長好 請三官人一起上
transcript.whisperx[424].start 11124.495
transcript.whisperx[424].end 11140.368
transcript.whisperx[424].text 喂 董事長好 董事長 早前你在做高雄69個媒體的封面沒有有有喔 有我這次很厲害 這次晉州刊 晉州刊一向沒有好事你是獲利創新高啊 74億啊請問董事長 這怎麼來的
transcript.whisperx[425].start 11144.298
transcript.whisperx[425].end 11166.243
transcript.whisperx[425].text 這都是同仁在持續的努力所得到的結果講很場面啦來你們有七個事業部啦你告訴我是哪些事業部賺錢哪些事業部賠錢事業部像砂糖企業是Balance砂糖Balance喔最賺錢的是哪一個油瓶
transcript.whisperx[426].start 11167.003
transcript.whisperx[426].end 11178.019
transcript.whisperx[426].text 油品最賺錢加油站啦齁對阿那個序值勒序值因為在改建嘛改建那個不算好來阿生物科技勒藍花欸藍花阿精緻農業勒
transcript.whisperx[427].start 11179.437
transcript.whisperx[427].end 11208.096
transcript.whisperx[427].text 金字塔會賺錢啊做賺錢 加油賺錢那台糖不要叫台糖了嘛 叫台花嘛叫台油嘛我們花卉是虧錢的花卉虧錢 那就叫台油囉油粉加最多啊我們是要diversify我先講一下啦其實我要看你們帳面說是賺72億啦其實我看一下你給我們的報告是60億不管60億還是70億 那是其次來我們看一下你在媒體上好像說一公斤的砂糖只能賣36
transcript.whisperx[428].start 11209.537
transcript.whisperx[428].end 11229.192
transcript.whisperx[428].text 成本要四十二賣一頓大概就要賠他七八千塊請問為什麼台糖要做糖跟委員報告糖是戰略物資很好戰略物資我們部長一直在戰略物資民營公司會生產嗎啊了解的不會生產啦民營公司啦台糖是什麼
transcript.whisperx[429].start 11230.185
transcript.whisperx[429].end 11256.844
transcript.whisperx[429].text 不是台糖是國營事業嘛所以國營事業戰略物資你要優先生產嘛對好來我們來看一下那台糖的糖會了錢來那你的事業責任糧食安全跟獲利哪個比較重要我想那個因為我們是國營事業齁那做一個事業體的話總是要有一些盈利對啦我告訴你台糖賺多少錢來往下看齁
transcript.whisperx[430].start 11257.844
transcript.whisperx[430].end 11280.396
transcript.whisperx[430].text 台糖的總資產6600多億其實我看你們全部的資產如果拿去寄銀行還一年可以收到116億的利息你不管是賺60億還是賺74億其實你的業外收入是50億台糖的重點賣了幾得好但是重點不是賺錢要賺錢把你們資產拿去賣一賣賺的錢還比較多 是不是這樣子
transcript.whisperx[431].start 11280.976
transcript.whisperx[431].end 11308.36
transcript.whisperx[431].text 但是土地如果賣一賣以後就沒有了你拿去做信託開發也很好啊所以我要說的是說目前台糖它雖然是一個公司不能賠錢但是公司的企業使命它有考慮的對不對要配合政策推動讓社會進步往下看那剛剛講到的黃小玉我們平常人吃的黃小玉多還是其他動物吃的黃小玉多台灣進口的黃小玉
transcript.whisperx[432].start 11309.79
transcript.whisperx[432].end 11331.605
transcript.whisperx[432].text 大部分是誰吃掉了大部分都是動物啊動物吃掉了嘛但是一旦在我延燒剛剛說的石油來不來哇 這很重要黃小玉進不來飼料就會跟著漲好 往下看那請問我們這些農產品黃小玉是未來進口是要給人吃的比較重要還是給動物吃的比較重要報告委員給動物吃了以後還是要給人吃啊
transcript.whisperx[433].start 11332.709
transcript.whisperx[433].end 11346.401
transcript.whisperx[433].text 所以一樣對 說得很好好 沒有錯所以我們的續產是需要這些原料的但是往下看其實食品給人吃豬可以吃什麼吃動物性的循環原料你同不同意
transcript.whisperx[434].start 11348.995
transcript.whisperx[434].end 11369.68
transcript.whisperx[434].text 某些是可以的 某些是可以的 告訴你農業部已經准了過去我們的飼料有植物性飼料 動物性飼料 補助飼料 配合飼料現在飼料除於蓄勤的屠宰下繳要動物性廢紮都已經可以作為循環原料的飼料 你知道吧對很知道 那請問台廠有沒有台廠有沒有這個加工廠
transcript.whisperx[435].start 11372.591
transcript.whisperx[435].end 11389.532
transcript.whisperx[435].text 我們加工廠是對食品的有食品加工廠有續產加工廠嘛你們有做酵母粉嘛有做穀類嘛麥片嘛麥片沒有啦然後你們續產加工廠有安心豬嘛有做肉鬆啊肉酥啊肉乾啊這些等等請問全豬的運用一隻豬啊
transcript.whisperx[436].start 11390.433
transcript.whisperx[436].end 11417.092
transcript.whisperx[436].text 大概有15%是負載下腳料土體的兩成多是豬皮跟豬骨這些都不是消費者會使用的請問你們有沒有開始發展這些循環原料飼料的生產線你們自己有加工廠啊你們有下腳料啊報告委員那前一陣子我們跟台系跟海昌公司就是在亂這一塊很好那就繼續進行怎麼樣我來告訴你為什麼台糖要先往下看
transcript.whisperx[437].start 11418.424
transcript.whisperx[437].end 11426.883
transcript.whisperx[437].text 目前喔 養豬的大縣彰化排第一 屏東排第二嘛那養豬的企業 排場講第二 沒有人敢講第一 對不對
transcript.whisperx[438].start 11428.526
transcript.whisperx[438].end 11454.763
transcript.whisperx[438].text 養豬的頭數不然誰最多養豬的全部頭數目前我們不能說現在啦你們現在在改建嘛對對對對嘛你不要跟我說今年去年啦因為你去你們要改建嘛有幾座有16座嘛對不對總共養滿了可以養幾頭一年大概50萬頭50萬頭我還小看因為有兩輪生產我這邊估計一座同時有18萬頭好這麼龐大的養豬事業有多少的剩餘物跟廢棄物我來先問一下
transcript.whisperx[439].start 11457.816
transcript.whisperx[439].end 11481.977
transcript.whisperx[439].text 有沒有病死豬一定會有嘛是那你們有沒有化製廠目前我們化製廠在廠內是沒有對啊我們是委託人家做但是委託嘛好啦企業責任啦你們是最大的養豬戶結果你們對於自己養的病死豬沒有化製廠現在的化製廠有幾座現在的化製廠加起來呢有10座
transcript.whisperx[440].start 11484.425
transcript.whisperx[440].end 11507.123
transcript.whisperx[440].text 其中四座在屏東啊你認為化智廠是一個嫌惡設施還是喜愛設施它是嫌惡設施嘛認為 對請問你們有幾座農場有二三十座嘛 有五萬公頃嘛這些農場除了自營之外有住人家種毛豆 住人家種鳳梨的住人家種毛豆的附近有社區嗎
transcript.whisperx[441].start 11508.547
transcript.whisperx[441].end 11535.388
transcript.whisperx[441].text 沒有社區啊所以其實台塘自有的農場是非常能夠吸收接受自己養豬所產生的這些必要的相關的事業跟設施你同不同意下一頁是不是這樣子對你們自己有土地嘛而且土地很多旁邊沒有人啊來我告訴你為什麼必死豬啊化製廠為什麼靈異設施我小時候住在鹿港我們家旁邊傳董事長
transcript.whisperx[442].start 11536.277
transcript.whisperx[442].end 11546.453
transcript.whisperx[442].text 隔壁那個肉店喔,他每天都在做肉粥啊喔好喜歡喔,每天都可以聞到豬肉做肉粥,很香的,是不是這樣子那同樣的是豬,為什麼花枝長會臭?為什麼?
transcript.whisperx[443].start 11550.629
transcript.whisperx[443].end 11569.556
transcript.whisperx[443].text 因為溪底下都草啊 才拖到化製廠嘛如果是生鮮的豬進入化製廠 它一樣是做什麼提煉油 提煉骨粉 對不對 會臭嗎 不會草啊所以要怎麼做 不只化製廠如果台塘的養豬場 避死豬有沒有冰歸冰
transcript.whisperx[444].start 11570.745
transcript.whisperx[444].end 11584.191
transcript.whisperx[444].text 有 現在我們都有現在有了嘛 對不對台糖有發現說你們的必死豬用冰櫃冰很多的養豬戶沒有來得及建冰櫃那是不是可以有冷鏈去幫他把它運走 運到化製廠馬上就運走
transcript.whisperx[445].start 11587.028
transcript.whisperx[445].end 11606.924
transcript.whisperx[445].text 冷鏈車 現在化資廠有冷鏈車嗎 沒有 因為民間企業不會投資啊臺房可不可以投資 去經營一個化資廠經營一個物流的 把必死豬從民營的養豬場趕快拖走 拖去化資的 就不會臭這個化資廠就不會零幣設施嘛 董事長 怎麼解決是不是這樣子
transcript.whisperx[446].start 11607.895
transcript.whisperx[446].end 11636.389
transcript.whisperx[446].text 但是我們要評估喔對 當然要評估 今天就是要請你評估它所以我要說的是說 台塘的企業社會責任是什麼你有這麼龐大的養豬場 你卻沒有化製廠你自己有冰櫃 其他的養豬場買不起冰櫃那這個問題誰來解決 叫其他民間養豬戶解決嗎那不可能嘛 往下看所以過去台塘有做一件事情 我小時候住屏東啊我們剛說這甘蔗啊 甘蔗可以生產農業甘蔗大家可以做什麼
transcript.whisperx[447].start 11639.244
transcript.whisperx[447].end 11668.115
transcript.whisperx[447].text 可以做紫薑啊對以前台湯也很聰明啊他們說甘蔗做糖之後甘蔗渣之後做紫薑但是三四十年前的紫薑沒有這個企業的一個概念它空污啊紫薑甘蔗渣怎麼做紫薑先放在池子裡面讓它發酵發酵就變臭臭的時候呢它去做紫薑的時候呢整個屏東市都是台湯的紫薑糖周圍現在台湯還有紫薑場嗎沒有沒有做了嘛但是
transcript.whisperx[448].start 11669.618
transcript.whisperx[448].end 11692.751
transcript.whisperx[448].text 甘蔗紮不能做紫薑嗎 可以啊 要找對的地方 用對的方法 投資設備讓它不要發售 可不可以做得到可以 但是目前有沒有其他的用途對 因為目前台糖的甘蔗紮做紫薑先不能買好因為台灣的甘蔗就比人家貴 那有可能這抓雞會比人家瘦 沒有可能所以我要說的是說 台糖要去思考 你們有那麼大的地
transcript.whisperx[449].start 11693.411
transcript.whisperx[449].end 11699.654
transcript.whisperx[449].text 禁賣產業是你們的企業社會責任你們有那麼多的養豬場有那麼多的加工廠你們做循環原料飼料的工廠你們要對動物的屍體做化製廠你們要研究這些農業加工的剩餘物資早期發電做做有機肥請問一下董事長這是不是你台南的企業社會責任
transcript.whisperx[450].start 11711.138
transcript.whisperx[450].end 11731.463
transcript.whisperx[450].text 我想企業真的我們是容易承擔齁但是像養豬那農業部的他們有一些incentive 一些補助台糖我們所有的農業的生產齁農業部連一塊錢都沒有辦法補助所以我們的生產這個不值得拼啦部長 董事長這個不值得拼的啦你不肯進入包卓剛好而已啦對不對我說你72億 是什麼51C月份收入啦
transcript.whisperx[451].start 11734.664
transcript.whisperx[451].end 11761.441
transcript.whisperx[451].text 對你們那裡做什麼有這種錢我們也不會抱怨啊但是就是說所以不要抱怨也不要拿來炫耀你們不只不能拿政府的補助還要代替政府優先做社會的表散你同不同意我同意但是我們做的很多喔最後請台堂研議將竹子產業研議你們竹子產業優先要投入金麥產業包括循環原料飼料的工廠包括動物屍體的花製廠以及後續環保循環的產業鏈可以承諾嗎
transcript.whisperx[452].start 11762.382
transcript.whisperx[452].end 11762.482
transcript.whisperx[452].text 來部長請上來 部長
transcript.whisperx[453].start 11771.687
transcript.whisperx[453].end 11792.878
transcript.whisperx[453].text 部長台堂貴不貴你管台堂貴不貴你管我們是主管機關是主管機關好董事長已經承諾了接下來的政治責任就是你的責任了所以接下來台堂有沒有善盡他台堂的企業社會責任不是只是看說不賠錢而已不是只看營收的成長而已我希望下次你跟董事長跟部長你們一起上雜誌封面
transcript.whisperx[454].start 11794.559
transcript.whisperx[454].end 11820.454
transcript.whisperx[454].text 說經濟不將台糖改造成一個符合企業社會責任重視環保 帶動農業更新的一個企業好不好報告委員 我們現在本來就有在做 但是我們是實體 對啦 環保本來就是所有的國營事業我講的那三個目標 經濟不可沒督導包括經貿產業 包括循環原料飼料 包括化製廠他們專門會 他剛才提到承諾啦 好 部長謝謝你 謝謝董事長
transcript.whisperx[455].start 11823.254
transcript.whisperx[455].end 11850.664
transcript.whisperx[455].text 不是study啦 交個報告來說明要你們承諾做多少嘛 好不好好 謝謝張嘉碧委員謝謝委員接下來我們有請王紅薇委員質詢好 謝謝主席請部長 龔部長還有台電董事長請龔部長跟曾董事長 謝謝
transcript.whisperx[456].start 11856.419
transcript.whisperx[456].end 11884.855
transcript.whisperx[456].text 好 部長 董事長我們在整個綠能發展裡面之前呢光電業爆發很多的弊案而我們現在離岸風電它整個的風暴不管是外資的撤資或者是我們本土風電業者出現重大財務危機甚至股票要下市的危機這樣的風暴正在整個的擴大中我想
transcript.whisperx[457].start 11886.414
transcript.whisperx[457].end 11898.612
transcript.whisperx[457].text 最近市場非常關心的就是CV能源現在準備在6月23號停止上市那當然它的整個的淨值虧損極為嚴重
transcript.whisperx[458].start 11901.876
transcript.whisperx[458].end 11923.025
transcript.whisperx[458].text 那另外一方面其實在之前我們有一些本土所謂的本土的廠商也陸陸續續發生不管是大幅的裁員也好或者是有下市的危機也好那我想請問一下部長森威能源算不算我們當時的豐電國家隊因為台電公司簽約的對象是富威對
transcript.whisperx[459].start 11931.789
transcript.whisperx[459].end 11947.808
transcript.whisperx[459].text 那深威算不算主要還是富威啊所以現在跟深威切割因為深威他有很多的事業啊他跟台電關係就是主要是富威嘛好 那我想請問合約對象也是富威啊好 那我想請問
transcript.whisperx[460].start 11949.608
transcript.whisperx[460].end 11968.933
transcript.whisperx[460].text 部長承不承認我們現在整個的離岸封店不管是從外資的退出因為這兩天包含外媒也提到也報導到包含CIP跟GPSC也準備退出沒有啦他們三十一三十二他們的封廠才剛剛剛要實施而已 怎麼會退出好 所以這個是而且他們很有可能三十三很可能三十三他們也會投
transcript.whisperx[461].start 11980.327
transcript.whisperx[461].end 11989.671
transcript.whisperx[461].text 所以 什麼叫可能啊?所以我要問 這個是不是假訊息?是不是假訊息?是不是假訊息通過報答?實質狀況不是這樣好 那我想請問部長針對我剛才所講的不管是森微或之前的天立離岸或者是永貫或者是之前陸陸續續的外資相繼的退出台灣的風電市場
transcript.whisperx[462].start 12006.607
transcript.whisperx[462].end 12019.064
transcript.whisperx[462].text 算不算我們的一個我們風電發展中的一個危機報告委員現在風電事實上如果第一期第二期現在已經全部併網將近500隻而且都沒有發生問題那現在是因為3-1 3-2
transcript.whisperx[463].start 12024.251
transcript.whisperx[463].end 12032.481
transcript.whisperx[463].text 過去的選商問題那有一些廠商他可能是財務上有一些問題那經過了這些COVID-19的時間等等那請問一下這些這些所謂的選商問題他會不會影響未來未來外資在台灣的投資或者是
transcript.whisperx[464].start 12042.772
transcript.whisperx[464].end 12059.82
transcript.whisperx[464].text 或者是我們銀行的融資的態度過去銀行事實上就很不希望能夠很不想融資也是都是我們政府機關三催四請不停的召集銀行來做這些風電的融資所以它會不會影響未來的投資跟融資現在事實上因為剛開始的時候因為風電產業它是一個project finance
transcript.whisperx[465].start 12068.43
transcript.whisperx[465].end 12082.083
transcript.whisperx[465].text 因為過去台灣的這個銀行比較沒有經驗但是現在經過這幾年他們非常有經驗他會了解說他的風險所在他也願意加入那跟委員報告就是說從三商開始我們選商
transcript.whisperx[466].start 12083.524
transcript.whisperx[466].end 12103.284
transcript.whisperx[466].text 的原則跟標準就會過去他的執行力還有他的財務狀況作為主要的基礎所以在這邊保證 三資深未來不會有我剛才所講的不管是本土的風電廠商的就是面臨倒閉或者是面臨生產線全面的停工
transcript.whisperx[467].start 12104.125
transcript.whisperx[467].end 12108.387
transcript.whisperx[467].text 我不敢說百分之百但是我們選章的原則已經我在這邊要特別提到身威的問題啊那個部長有講到說要要國家隊接手所以我就說啊身威本來就也是屬於國家隊之一啊你一直講說國家隊是負威我沒有這樣講說國家隊接手是因為媒體上他是說因為這個宥德風場他是一個非常好的風場那因為
transcript.whisperx[468].start 12133.078
transcript.whisperx[468].end 12155.598
transcript.whisperx[468].text 因為這個柚子風場有可能因為潮潮那現在聲威的危機怎麼解決聲威是聲威啊聲威並不在我們的合約裡面啊所以不會有任何的國家隊你所謂的你再找所謂的國家隊再去接手聲威我們沒有辦法政府來主持這些東西因為這個是商業的行為我要特別講當我聽到國家隊我就會很害怕為什麼呢
transcript.whisperx[469].start 12162.065
transcript.whisperx[469].end 12183.226
transcript.whisperx[469].text 中鋼我們都知道中鋼是多麼好的一家公司去年中鋼出現了幾十年來的最大的一個虧損而它的最大虧損就是當年奉你們經濟部指示去投資所謂的國家隊投資興達海基結果把資本額全部虧光光大虧64億
transcript.whisperx[470].start 12185.228
transcript.whisperx[470].end 12187.991
transcript.whisperx[470].text 你還要解釋什麼呢你還要解釋說中鋼的虧損並不是來自於投資星達海基嗎最主要原因是因為中國他內權他的鋼品往上往國際上所以你覺得這是中鋼的問題喔那今年中鋼已經變得
transcript.whisperx[471].start 12201.184
transcript.whisperx[471].end 12212.716
transcript.whisperx[471].text 我知道啊我知道今年的狀況比較好但是去年我問你去年是不是歷史性的歷史性的虧損今年跟去年差別就是鋼價今年鋼價比較好他應該可以恢復正常
transcript.whisperx[472].start 12216.26
transcript.whisperx[472].end 12220.826
transcript.whisperx[472].text 那新大電機還有沒有大虧嘛所以我要講就是說當我們在所謂的一個發展一個產業的過程裡面大談所謂的國家對而導致我們很好的國營事業大幅的虧損或者我們現在本土的國家對
transcript.whisperx[473].start 12235.203
transcript.whisperx[473].end 12251.812
transcript.whisperx[473].text 現在也出現了虧損下市甚至大幅的裁員好這個都已經會影響勞力市場另外就是包含外資一家又一家的退出現在已經五六家相繼的退出啊那我們經濟部對此視而不見還是覺得很好沒有問題只要我們選商就好你迴避這樣的問題
transcript.whisperx[474].start 12257.435
transcript.whisperx[474].end 12272.104
transcript.whisperx[474].text 不會因此而解決問題啊第二期三一三之二他們都還要實施三一三也有可能會投入所以就是說他們沒有所謂剛剛您提到的這樣的一個現象啊而且您如果看實際的狀況我講的都是已經發生的我講的是已經發生所以我說部長啊如果
transcript.whisperx[475].start 12277.887
transcript.whisperx[475].end 12284.332
transcript.whisperx[475].text 你都不願意面對這樣的問題然後繼續的去用粉飾太平的態度來看我們現在離岸風電的相關的危機我們謝謝委員的提醒啦 我們會注意為什麼 然後因為時間關係我們在風電的部分由我們國家融資保證的金額已經超過1500億了嘛
transcript.whisperx[476].start 12303.396
transcript.whisperx[476].end 12324.857
transcript.whisperx[476].text 所以為什麼我們會關心這個事情 它不是單純的是未知或者是民營廠商的問題它的很多融資來自於國家做保證如果他們有爆發財務危機 如果他們有經營不下去我們擔心的會影響到我們國家的融資保證我們國家融資保證在這一塊事實上是非常非常大的金額嘛
transcript.whisperx[477].start 12325.818
transcript.whisperx[477].end 12338.41
transcript.whisperx[477].text 所以才請經濟部用一個很誠實很認真的負責的態度去面對現在離岸風電的危機啊好 我們會謹慎小心 謝謝謝謝楊宏偉委員 謝謝謝謝部長好 接下來我們請李毅嶺委員質詢
transcript.whisperx[478].start 12357.657
transcript.whisperx[478].end 12358.48
transcript.whisperx[478].text 謝謝主席請工部長
transcript.whisperx[479].start 12367.932
transcript.whisperx[479].end 12394.378
transcript.whisperx[479].text 好 部長在淨零碳排和能源轉型的政策推動之下我們太陽能跟離岸風電被視為台灣再生能源的兩大支柱但是在離岸風電這個部分我們政府也投入大量的資源也有在扶植我們本土的產業希望它可以複製成半導體產業的成功的案例但是國際上的原物料的高漲的情況之下
transcript.whisperx[480].start 12395.158
transcript.whisperx[480].end 12406.446
transcript.whisperx[480].text 導致了這個海事工程的成本跟施工船舶的這個租金跟我們燃油價格的飆漲還有缺工的這些問題等等所以讓離岸風電的開發商在設置這個離岸風機的這個進度上有嚴重的這個落後的情形那本來是2030年的離岸風電要達到13.1 GW後來這個裝置容量的目標也下修到10.9 GW請問一下這個目標還會再下降嗎
transcript.whisperx[481].start 12426.12
transcript.whisperx[481].end 12438.954
transcript.whisperx[481].text 應該是我們盡量維持盡量維持所以很沒有信心只用盡量而已我們甚至於看看能不能超前超前下降就是原來下修的部分把它稍微把它恢復
transcript.whisperx[482].start 12439.735
transcript.whisperx[482].end 12442.796
transcript.whisperx[482].text 對本席會這樣子問你就是因為我們看到了在我們的離岸政策這方面我們本來採取三項這個階段性的這個策略像是示範的獎勵跟我們潛力的長子跟區塊的開發這個部分在這個潛力長子這部分台電的二期風電這個升威剛剛講到升威已經在虧損了那台電也本來是估計
transcript.whisperx[483].start 12466.185
transcript.whisperx[483].end 12491.951
transcript.whisperx[483].text 4月份今年的4月份就要完工併網那現在因為成本的關係深威他可能就在6月23號就要下市的這種情形之下已經沒有辦法去再承擔這個工程了沒有沒有深威他是本來就不是是富威所以富威他還會持續所以這是工程可是是深威標去嘛那深威負責這個工程富威標去
transcript.whisperx[484].start 12493.131
transcript.whisperx[484].end 12503.718
transcript.whisperx[484].text 只是升威 它是負威的母公司所以你認為它的工程會繼續會影響因為那個合約對象是負威嘛是 那所以我就不早要提醒你就是說因為他們整個財務狀況的惡化會被影響我們整個豐電的這個供期喔這情形你們要做一個整個機制上的調整
transcript.whisperx[485].start 12510.342
transcript.whisperx[485].end 12514.165
transcript.whisperx[485].text 對 我們會注意你們要注意讓這個工程順利完成那剛剛都有提到像台電的二期豐電的這個危機已經是面臨著我們豐電整個政策上這個已經是很困難的困境之下已經是冰山一角了那如果我們再追下來我們的區塊開發來講的話區塊開發是更自產不忍睹的尤其是在第一期的部分3G這個部分有五家這個豐廠的這個得標廠商
transcript.whisperx[486].start 12539.505
transcript.whisperx[486].end 12547.432
transcript.whisperx[486].text 已經有兩家要跟我們解約了一家已經做不下去了剩下兩家再繼續做在這種情形之下整個工期也會延宕像本來在2026年到2027年的話我們準備要來那個併網的發電已經延到2028年像這種情形剩下這個豐廈豐廟跟這個海聖這個來施工那其他的工程是不是繼續延宕呢
transcript.whisperx[487].start 12565.126
transcript.whisperx[487].end 12567.467
transcript.whisperx[487].text 這就三之一 三之二當初選商的確是產生了一些問題啦那我們儘快 當然有一些廠商他已經解約了解約那誰來承接呢這風產還在 我們會儘快的三之一兩家解約 一家做不下去財務狀況的問題
transcript.whisperx[488].start 12586.335
transcript.whisperx[488].end 12603.382
transcript.whisperx[488].text 那你看三資二三資二是三家對不對那有一家又是佑德佑德又碰到這個升威是虧損的萬一他又做不下去呢因為這個風場還在所以他的風場只是時間往後遞延空間他不會消失所以你是說2028年做不到就往後遞延囉繼續遞延囉稍微遞延大概一兩年
transcript.whisperx[489].start 12607.884
transcript.whisperx[489].end 12630.95
transcript.whisperx[489].text 那請問一下 三之三 三之一 三之二都虧損解約 做不下去 工程延宕那三之三會不會發生無人來標的情形不會 不會你有信心 不會我們現在正在選商當中 就是公告當中還在選商嘛 還是不確定有人會標啊據我們了解應該會有啦
transcript.whisperx[490].start 12631.79
transcript.whisperx[490].end 12650.7
transcript.whisperx[490].text 好 如果有人得標 那本席要在這邊提醒部長就是我們很多的裝置容量這部分三之一 三之二都有嘛如果他們工廠延宕是沒有打標的話 沒有做出來那三之三就要承接這工作囉 對不對它是分開的 它是分開標的那三之一 三之二沒做到的呢
transcript.whisperx[491].start 12651.57
transcript.whisperx[491].end 12667.753
transcript.whisperx[491].text 那這裝置容量呢您的意思是說它原先3133它解約了像原來的話你海頂2的話它做600MW的部分如果已經解約像這樣已經解約了它的解約它在標我們33的時候它會被扣分
transcript.whisperx[492].start 12669.441
transcript.whisperx[492].end 12688.923
transcript.whisperx[492].text 他不會再飆那33飆到人要不要把這個繼續承攬做下來啊33他是另外廠商在飆的啊那這32的部分呢沒有人把接下來嗎他那個風場會空下來我們會另外招飆因為在另外去做因為已經解約了就另外不會再33的人來承接對不會不會就另外所以又是一筆龐大的費用
transcript.whisperx[493].start 12690.525
transcript.whisperx[493].end 12715.845
transcript.whisperx[493].text 欸 招標還好咧 沒有付出什麼樣的費用那你們解約有收到一些違約金嗎都有嘛 都照程序來進行那部長 之前我們看到我們投入這個離岸風電已經陷入這種情形了我們希望你們能夠趕快的再調整這些機制不要把它停滯掉不能停滯掉 好不好接下來就是三之三了那部長 接下來要請問的就是我們
transcript.whisperx[494].start 12716.866
transcript.whisperx[494].end 12741.334
transcript.whisperx[494].text 桃園龍潭龍科三期原來之前的話因為土地的問題所以我們整個公聽會就有在延緩那經過本席跟我們客管局跟市府的溝通協調在去年的11月跟今年的1月開了兩次公聽會得到各方的共識我們捍衛所有住戶的權益跟產業的發展所以
transcript.whisperx[495].start 12742.634
transcript.whisperx[495].end 12754.448
transcript.whisperx[495].text 目前來講我們整個申請的範圍在104公頃那竹科也在整個的籌劃中已經把他交給國科會了大概會在一定會在7月份交到行政院
transcript.whisperx[496].start 12755.855
transcript.whisperx[496].end 12780.063
transcript.whisperx[496].text 這個部分 那請部長這邊 那行政院趕快去審核下來但是現在最重要的是有消息傳出台積電要進駐龍科三期那這就我們會擔心台積電進來 它用電量會可不可以穩定就像它甚至說要規劃設置這最新的這個奈米四代的廠房所以供電這個部分要非常的穩定那供電的話 鄭董事長
transcript.whisperx[497].start 12780.903
transcript.whisperx[497].end 12809.439
transcript.whisperx[497].text 這跟你有關係了 你有重要的角色了那整個配套勢必要超前部署那你們有準備我知道你們有準備的話就是說目前提出兩個方案第一個方案就是大潭電廠1號機到6號機你把它升級那另一方面的話你就說要新建10號機請問一下你們有在做選擇嗎那個我跟委員報告幾件事第一件事情這個是那個時候我們等於是總經理的跟媒體的見面會講到的事
transcript.whisperx[498].start 12810.279
transcript.whisperx[498].end 12832.502
transcript.whisperx[498].text 我們總經理是發電的系統的頭嘛然後他其實過去他只要進到一個電廠他就知道說哪個地方可以增加電源怎麼樣他就直接回答了這件事但農科如果要做真正的核心問題在電網那這件事委員其實關心很久啦因為我們其實我們同仁要去要去拉新的電網怎麼做
transcript.whisperx[499].start 12833.163
transcript.whisperx[499].end 12844.209
transcript.whisperx[499].text 其實委員或是您的辦公室您的服務處都有參與我講簡單一點其實龍克山崎真正的問題真正最重要現在當前最重要的事其實是電網
transcript.whisperx[500].start 12846.804
transcript.whisperx[500].end 12872.08
transcript.whisperx[500].text 這個電網部分我知道委員很關心那委員當然地方里長意見委員一定要表達我們也知道但是對台電來說我想說如果可能我們儘快的能夠把我們可以施作的工程項目都給他確定下來總共有七個輸電線路的工程要做才有辦法供應這件事那我們也都一直在盤整我們也都在跟國科會做溝通我們也在約
transcript.whisperx[501].start 12873.081
transcript.whisperx[501].end 12887.207
transcript.whisperx[501].text 跟市府這一邊做一點溝通就是說我們是不是能夠得到協助但我要這樣講就是還在約啦齁那委員其實清楚進度我也希望委員如果可能的話給我們台電支持我是支持的啦 讓農控可以蓋起來是 董事長 讓農科可以做今天提出來的話因為看到你們的有兩項選擇嘛我是認為說這兩項選擇都是董事長這邊提出來的可以不要由一二選一啦兩件都可以並行來做那剛剛董事長特別講到是電網的問題嘛
transcript.whisperx[502].start 12901.019
transcript.whisperx[502].end 12908.501
transcript.whisperx[502].text 我這樣講委員你是說這兩個電廠的新建工程都可以加速進行你一到六的話要升級那十要新建嘛我跟委員報告這兩件事情對我們來講都還在內部評估階段其實台電公司我們會去做一個長期的我們電源開發的規劃但是我們會依照時程的需要提出來那以照以現在如果委員關心農科那我跟委員報告
transcript.whisperx[503].start 12928.547
transcript.whisperx[503].end 12955.885
transcript.whisperx[503].text 您的服務處在關心的那個我們怎麼拉線這件事情那個是現在最重要的事是我本席也有在協助啦因為拉線的話就居住權益的問題環境的問題等等我們都會從中協助那本席會這樣子問最重要就是說因為現在台積電設廠的是我們說指標性的這個效益會影響著上下游供應廠商跟我們AI的資料中心等等那還有我們都形成一個最重要的這個聚落尤其是
transcript.whisperx[504].start 12956.445
transcript.whisperx[504].end 12973.923
transcript.whisperx[504].text 桃竹苗大溪谷計畫也在包括桃園進去所以我們希望說董事長因為你們現在台電已經不准許用電在5MW以上的AI這個資料中心設置在桃園以北的新社
transcript.whisperx[505].start 12974.864
transcript.whisperx[505].end 12991.286
transcript.whisperx[505].text 所以這個就表示你們都看到了台北的電量是不足的所以我才說你剛剛所提出來的大台電廠1到6號的升級跟10號的興建這個可以一起你們評估下去一起來做然後包括我們的電網部分的話也要超前部署先來設置好來
transcript.whisperx[506].start 12992.307
transcript.whisperx[506].end 13010.12
transcript.whisperx[506].text 不要說一定要等到台積電申請進來的話你們再來評估就太慢了非常非常謝謝委員支持我們電源開發真的這個我們很想在立法院得到這種支持所有的方式都用進來不要再限制我們桃園以北的這個廠商來這邊設置好不好好謝謝謝謝委員好謝謝李議員委員謝謝部長好接下來我們有請蔡義瑜委員諮詢
transcript.whisperx[507].start 13023.765
transcript.whisperx[507].end 13044.805
transcript.whisperx[507].text 謝謝主席那我們是不是有請經濟部拱部長經濟部拱部長還有台糖董事長請台糖董事長部長好部長那我想跟部長聊一下就是說台糖在新港有一個農場
transcript.whisperx[508].start 13046.655
transcript.whisperx[508].end 13068.807
transcript.whisperx[508].text 這個農場就是靠近台37線台37線就是所謂的高鐵高鐵這條這條這條再往南不久就是嘉義科學園區也就是現在台積電的一個廠房那我們地方長久以來都認為說這一塊農場事實上是很適合把它發展為所謂的一個產業園區因為發展成產業園區
transcript.whisperx[509].start 13072.009
transcript.whisperx[509].end 13087.759
transcript.whisperx[509].text 他透過整個高鐵的這個橋下的一個道路跟現在加科所在的台積電大概就只有10分鐘的一個路程一個車程那而且在這裡的話如果可以開發因為這面積這麼大兩百六十五公頃那我們可以來做部分的一個開發利用讓這個周邊整個效益可以整個帶動起來所以我們是希望說經濟部類有沒有可能在做這一塊
transcript.whisperx[510].start 13101.669
transcript.whisperx[510].end 13113.028
transcript.whisperx[510].text 土地來發展為產業園區來進行所謂的一個評估的一個開發的一個計畫呢可以啊 我記得好像有在評估當中
transcript.whisperx[511].start 13115.421
transcript.whisperx[511].end 13137.852
transcript.whisperx[511].text 以目前看起來都沒有所謂實際上的動作台湯應該這邊也知道啦 因為現在目前就是要在做健康吃啦 沒有實際上在評估我們在那個新港龍潭面積有309公頃309 比我寫的還要大那個現在大部分都種植甘蔗 包括那個青龍的合作經驗32公頃
transcript.whisperx[512].start 13140.833
transcript.whisperx[512].end 13149.799
transcript.whisperx[512].text 西南車有4.9公頃是嘉義新竹他去設置那個垃圾掩埋場對那所以這個要開發我們是
transcript.whisperx[513].start 13150.748
transcript.whisperx[513].end 13171.464
transcript.whisperx[513].text 同意配合政府的政策啦由西地能量機關以前期租用後合作開發的方式來取得用地謝謝對所以因為主要就是說這條就是大個體卡這條路啦要串連到這裡啦所以我們如果真的要利用的話應該就是比較利用在比大樓高
transcript.whisperx[514].start 13173.005
transcript.whisperx[514].end 13189.474
transcript.whisperx[514].text 是讓來這裡來做一個整體的一個開發利用基本上對於未來因為台積電現在未來他的全球佈局COWAS在嘉義嘛他可能需要更多的他的相關的一個供應鏈那這一塊這一個園區呢因為地方期盼已久
transcript.whisperx[515].start 13190.655
transcript.whisperx[515].end 13212.096
transcript.whisperx[515].text 過去這個賴總統來到新港的時候也有去針對這一塊這一個農場認為說他確實有開發園區的一個潛力那只是說看起來這幾年來在評估的力道上似乎慢了一些所以柏霖我希望說這部分可以讓您來加速評估那我們請那個園區管理局來做評估
transcript.whisperx[516].start 13214.938
transcript.whisperx[516].end 13242.826
transcript.whisperx[516].text 大概評估的結果再跟委員做說明好,那這個就麻煩部長那第二件還是針對這個跟台糖事實上台糖有不少的再生能源廠這些再生能源廠大概都是跟所謂的電商就是太陽能商是合作的就由他們去開發那台糖大概是收三成四到五成不等的一個這個發電收益沒有錯嘛以合約的架構是長這樣
transcript.whisperx[517].start 13243.946
transcript.whisperx[517].end 13263.027
transcript.whisperx[517].text 但是我們也知道說以現在整個太陽能也說綠能啦綠能在全世界趨勢就是R1-100的趨勢之下台灣的綠能是嚴重不足變得說所有的科技公司類他如果有要外銷到歐盟的國家的他需要更多的綠能
transcript.whisperx[518].start 13264.088
transcript.whisperx[518].end 13279.312
transcript.whisperx[518].text 他有這樣的需求所以以我這樣了解起來現在科技公司在跟所謂的電商他們在訂合約然後去買他的綠電的時候事實上是遠超過台電公司的兌售電價沒有錯吧這個部長這件事情沒有錯吧
transcript.whisperx[519].start 13283.868
transcript.whisperx[519].end 13305.962
transcript.whisperx[519].text 台電公司 你說不是 我是說現在科技公司如果去買這些綠電是會比台電 直接賣給台電價格還要高嘛對還價格會高嘛 所以他才會選擇不是 案場的部分他們都直接賣給這些科技公司了就賣給科技公司嘛就跟台電分手了
transcript.whisperx[520].start 13307.082
transcript.whisperx[520].end 13332.392
transcript.whisperx[520].text 對,就跟台電分手,就是科技公司所以我現在要說的意思就是說因為台糖目前還是擁有很多的案場那這些案場,事實上如果在合約上有可能把它轉給這些科技公司那對台糖的收益也會提高那為什麼這件事情沒有辦法去進一步的去著手我想對於那些案場的電商,他也許也可以考慮
transcript.whisperx[521].start 13332.992
transcript.whisperx[521].end 13361.654
transcript.whisperx[521].text 那這一點是台糖我覺得你可以去督促因為第一這個是一個多贏的一個方向第一個就是說台電不用直接再去買買這個電那科技公司需要綠電那這個廠商他如果經過這樣的一個轉換之後那台糖的收益會提高因為他賣的就提高了嘛他賣的價格提高我們現在就有賣了因為如果那個電價比給台電的高的話已經有那個有兩家很有名的
transcript.whisperx[522].start 13362.577
transcript.whisperx[522].end 13365.882
transcript.whisperx[522].text 那個跟我們合作的他們也有賣標給友達給秦創大概我們有賣1.1
transcript.whisperx[523].start 13373.055
transcript.whisperx[523].end 13397.272
transcript.whisperx[523].text 1.1億度給友達所以這個我們已經在做了有在做了嗎對謝謝好那既然有在做應該就是我感覺啦如果這是一個趨勢啦如果轉換就是說只是一個合約的轉換沒有困難的應該是要全面推動啦你這裡的電就不用買台電了科技公司有需要就都讓他們這樣去進行我們企業處理院北來就有就比台電還高就賣給企業
transcript.whisperx[524].start 13401
transcript.whisperx[524].end 13407.203
transcript.whisperx[524].text 有啦,有在進行,有在進行就好我最後,那台長可以先回那我最後還是要跟這個部長這邊,因為部長這個也感謝你在三天前有來嘉義,那也大概
transcript.whisperx[525].start 13416.548
transcript.whisperx[525].end 13429.186
transcript.whisperx[525].text 去救我們嘉義未來在發展整個無人機那你有做了一些一些慘事而且你也期待嘉義未來要把這個整個無人機的聚落這件事情以及相關的一個供應鏈飛鴻創造打造飛鴻供應鏈這件事
transcript.whisperx[526].start 13432.41
transcript.whisperx[526].end 13460.868
transcript.whisperx[526].text 你也希望自己可以負起這樣的一個這樣的一個地區的一個責任那我們現在想要跟院長說事實上以我們現在嘉義做所謂無人機的一個創新應用的一個研發中心也就是所謂的雅創基地類那這個雅創基地類目前你們是委託給金屬公司對 金屬中心對 就是這個金屬中心金屬中心來做這個雅創的一個整體的發展計畫那我的我現在要怎麼
transcript.whisperx[527].start 13461.969
transcript.whisperx[527].end 13485.604
transcript.whisperx[527].text 部長說啦如果無人機是未來我們一個非常重要的一個產業的話你把他委託給金屬中心的話事實上大家會比較傻不?說資金屬中心在管這個亞創所以他有沒有可能成立一個單獨的一個行政法人就變無人機的一個無人機的一個中心然後再由這個中心
transcript.whisperx[528].start 13486.484
transcript.whisperx[528].end 13508.825
transcript.whisperx[528].text 來管類似我們雅創中心這樣看起來這個才會展現出我們對於整個投入無人機讓他們專業專責直接就可以投入這樣的管理如果成立行政法人曠日廢時的話那是不是可以在金屬中心就直接再成立一個新的單位就直接是管轄無人機這樣起來這裡的人才會有固定
transcript.whisperx[529].start 13512.108
transcript.whisperx[529].end 13526.814
transcript.whisperx[529].text 固定性而且他們可以有更多的能量來推動整個台灣那以及在嘉義在發展整個無人機的一個發展那部長這是不是可以考慮看看是 報告委員因為上面來講您這邊圖案就有嘛這是才
transcript.whisperx[530].start 13528.241
transcript.whisperx[530].end 13545.353
transcript.whisperx[530].text 產業署在做統籌接下去他們因為有不同的地方亞創中心就是剛才講金光中心金光中心它有專屬的單位它有一個處專門在做無人機的負責的的確是這樣金光中心事實上在無人機的能量也是非常非常的強的
transcript.whisperx[531].start 13546.614
transcript.whisperx[531].end 13575.621
transcript.whisperx[531].text 我們在跟國際的簽這個MOU的時候事實上有些是金屬中心是幫忙在做簽的沒有錯沒有錯因為金屬中心目前是在這一塊他就扮演他的角色嘛那我們是希望說他就是一個專責單位然後直接就是對接我們的亞創中心那至少這樣的話方向明確而且未來的話有一些到底這些無人機的業者他要怎麼跟金屬中心對接會更明確化了好不好好
transcript.whisperx[532].start 13576.201
transcript.whisperx[532].end 13593.309
transcript.whisperx[532].text 那這部分是不是部長可以再去督促一下我們會把這個再弄清楚再把它分清楚這樣子好謝謝好謝謝蔡議員好羅志強羅志強羅志強委員蘇清泉蘇清泉蘇清泉委員
transcript.whisperx[533].start 13599.542
transcript.whisperx[533].end 13601.725
transcript.whisperx[533].text 賴瑞榮 賴瑞榮 賴瑞榮委員羅明財 羅明財 羅明財委員陳 接下來我們請陳冠廷委員質詢謝謝主席 我們請部長我們請工部長
transcript.whisperx[534].start 13621.793
transcript.whisperx[534].end 13642.671
transcript.whisperx[534].text 蔡委員好部長好那我們就建議質詢喔是那剛才提到的新港的部分新港未來的我們希望說科學園區或者是在擴張到新港或者是把之前賴總統來我們嘉義新港的時候有提到的農業科技園區這兩個選項都可以納入考量
transcript.whisperx[535].start 13643.551
transcript.whisperx[535].end 13658.107
transcript.whisperx[535].text 部長有沒有針對這一塊我們剛才提到的新港 嘉義縣新港鄉的這一塊土地有什麼樣的想法那在蔡委員剛才質詢過後再加上農地園區你認為哪一個比較適合嘉義縣的發展的方向
transcript.whisperx[536].start 13660.006
transcript.whisperx[536].end 13674.895
transcript.whisperx[536].text 這個我可能還是要請我們這個園區管理局他們去做通盤的了解啦還是做還是產業發展需要作為主軸啦當地的這個產業發展主要我們當然知道
transcript.whisperx[537].start 13675.896
transcript.whisperx[537].end 13699.04
transcript.whisperx[537].text 因為嘉義縣現在是多元在發展除了原來是農業發展之外那現在工業跟科技又蓬勃的發展起來那我們會跟當地的這些產業界來做一些溝通瞭解看看怎麼樣需要他的定位那我剛剛也跟蔡委員講就是說等我們盤點好以後也會送資料給蔡委員跟您
transcript.whisperx[538].start 13699.68
transcript.whisperx[538].end 13713.956
transcript.whisperx[538].text 好那就麻煩通帆來去了解一下因為他現在新港鄉太保跟就是山海交界之處這個平原之處他已經整個發展起來了那過去我們是以農業科技作為一個發想的渠道
transcript.whisperx[539].start 13714.597
transcript.whisperx[539].end 13738.849
transcript.whisperx[539].text 但是現在看起來的話如果結合在一起的話那變成是說我們也不限於農業科技包含其他的跟產業相關半導體產業等等我們都可以納入考量所以這個部分還是請園區來做通盤檢討一下因為我看到不斷的在擴廠那台積電不斷的在擴廠的原則之下未來新港如果可以納入整個發展區的話對於嘉義嘉義山海平衡來講是非常重要的所以這個部分請
transcript.whisperx[540].start 13739.449
transcript.whisperx[540].end 13762.639
transcript.whisperx[540].text 因為馬籌後的後半部45公已經要變成這些半導體的這些供應鏈的圓區那是不是足夠我們也再評估一下如果不夠也許新港這邊可以扮演某一種角色也不一定好 謝謝部長那這樣新港相信聽到一定會非常的高興那接下來我們來針對第二部分無人載具無人機的部分來繼續來質詢剛才
transcript.whisperx[541].start 13765.343
transcript.whisperx[541].end 13784.446
transcript.whisperx[541].text 蔡委員也有質詢那對我們嘉義來講他剛剛講的可能是偏向太保的這個雅創那邊的園區那我重視的是民雄航太園區民雄航太園區是生產的那有東西兩部東部當然是中科院西部的話是希望更多產業來去進駐那中科院之前有跟我們有說到是希望說
transcript.whisperx[542].start 13785.407
transcript.whisperx[542].end 13806.304
transcript.whisperx[542].text 他的這個招商或者是引資來自的這個廠商不限於本國包含其他國家包含如果有好的美國等等的國家那我們希望說經濟部必須要跟經濟部外交部還有這個中科院三者之間一定要有一個聯繫的管道或者是說一個
transcript.whisperx[543].start 13808.237
transcript.whisperx[543].end 13828.621
transcript.whisperx[543].text 簡單來講就是一個團隊在那邊為什麼這麼說因為你中科院他是專注於在他的科技研發或者是他們軍工的生產對於其他產業的部分特別是經濟部所管轄的這些民用的無人載具部分可能不是這麼的熟悉那當其他國家像是最近有很多歐洲國家特別都會來到我們的亞創跟我們的翁縣長來討論未來他們希望進駐
transcript.whisperx[544].start 13832.722
transcript.whisperx[544].end 13861.737
transcript.whisperx[544].text 我們民雄航太園區但是這個部分已經超越縣府能夠負荷的能力他一定要中央來去做一個統籌嘛那他還知道說我們經濟部有什麼優惠國外進駐引資進入這個地方的優惠的這些政策這個東西中科院沒有足夠的能力去做這些事情啊那外交部只能作為平台他也沒有辦法知道說經濟部的這些細項所以中科院外交部經濟部一定要有一個工作小組在那邊常駐在那邊才能夠有效的把我們未來
transcript.whisperx[545].start 13862.617
transcript.whisperx[545].end 13887.754
transcript.whisperx[545].text 民俊華大援軍西半部的部分把它做起來這對我們來講是至關重要的因為不是只有軍事上面的投資而已還要產業上面的投資也就是說上個月應該不是上個月是這個月我們這個特別條例裡面把它排除掉就是在野黨排除掉的就是無人載具的部分但是有一些在野黨的先進他有不同的看法他認為說未來可以提新的特別條例由經濟部主導
transcript.whisperx[546].start 13888.775
transcript.whisperx[546].end 13913.164
transcript.whisperx[546].text 那我認為這不失為一個方案之一今天總統有特別提到再提特別預算再提特別預算條例跟追加預算或者是說把擴張的公務預算裡面把計劃這個跨年度計劃預算把它投入進去所以這三種可能性裡面現在多了一種可能性就是以經濟部作為領頭羊跨部會包含國防部經濟部甚至科技部都可以包含在裡面來去進行這一個
transcript.whisperx[547].start 13915.223
transcript.whisperx[547].end 13920.81
transcript.whisperx[547].text 國防的這個非國防但是是軍民兩用的無人機的特別條例這個部分你怎麼看
transcript.whisperx[548].start 13922.024
transcript.whisperx[548].end 13948.179
transcript.whisperx[548].text 8號委員委員支持我們經濟部來發展無人機產業這個當然是我們非常高興也非常感謝但是因為國防部跟我們扮演的角色有一點點不一樣因為國防部他扮演的是需求面的角色我們是供應面來支持產業他的競爭力的提升那因為國防上的需要他有特殊上的規格或者是功能上的要求
transcript.whisperx[549].start 13949.299
transcript.whisperx[549].end 13967.535
transcript.whisperx[549].text 還有是評選那這個部分還是要國防部提出來對 所以說部長你剛剛要仔細聽我的這個資訊裡面有提到這一檔他們提到是以經濟部主導那我們當然是希望國防部來去主導嘛所以我們才會提出國防軍事特別條例那很遺憾的沒有通過因為我們沒有
transcript.whisperx[550].start 13968.636
transcript.whisperx[550].end 13984.943
transcript.whisperx[550].text 多數嘛那我要在現在的狀況之下我不希望我是說我們要提出方案也就是由經濟部主導但是國防部有角色的可能性你們要去想相關的方案這樣子我們才有辦法去持續推動
transcript.whisperx[551].start 13986.374
transcript.whisperx[551].end 14004.961
transcript.whisperx[551].text 除了我們繼續有提喔我相信行政院一定會繼續提國防的特別條例喔是是是但是這不妨礙經濟部自己提出跟國防部有共同需求的特別條例啊那我們來跟國防部討論一下就是我們兩邊都一定要兩者都要去推動就像我們民雄航太園區它是中科院主導的對不對對
transcript.whisperx[552].start 14006.516
transcript.whisperx[552].end 14027.632
transcript.whisperx[552].text 但是西側的產業的部分 西側是標準廠房的設立那是不是也是有經濟部比較熟悉 對不對我們會幫忙有一些招商等等 這個我們可以幫忙所以說我們不把它作為誰主導不影響一起推動的這樣子的進程嘛所以我才想說假設在野檔有這樣子的說法的話
transcript.whisperx[553].start 14028.573
transcript.whisperx[553].end 14047.323
transcript.whisperx[553].text 那我們怎麼樣用這個動能來去發展我們居民兩用的文宅劇這個是你們必須要去思考也可以去溝通的方向好不好好 謝謝好 謝謝陳冠廷委員接下來我們有請葉元之委員質詢
transcript.whisperx[554].start 14063.502
transcript.whisperx[554].end 14082.418
transcript.whisperx[554].text 主席好,麻煩請部長還有台棠董事長我們請工部長跟台棠吳董事長議員好我先跟台棠董事長確認一下你們說你們在112年的時候有花116萬設計一個CIS包括一個新的LOGO
transcript.whisperx[555].start 14083.218
transcript.whisperx[555].end 14101.51
transcript.whisperx[555].text 但是因為後來員工覺得好像比較不OK然後再加上就是原本很多商品有金招牌啦所以想一想這個logo就沒有用了這是你講的沒有錯吧對那個 報告委員那個還有那個所以叫經銷商因為我們很多都是對
transcript.whisperx[556].start 14109.421
transcript.whisperx[556].end 14119.213
transcript.whisperx[556].text 你這樣講我就覺得非常荒謬嘛部長你其實背黑鍋啦因為後來大家都知道這王美花搞的啦但是有一件事情啊那你當初怎麼驗收的
transcript.whisperx[557].start 14120.094
transcript.whisperx[557].end 14148.619
transcript.whisperx[557].text 你錢付出去了嘛人家的Logo給你嘛然後你驗收了錢付囉然後最後員工不OK那我不用了那你怎麼驗收的啊第二個如果你是以員工熟不熟悉或經銷商覺得OK不OK來當作一個Logo能不能夠換的一個標準那當初你們在設計你的標案的時候你有沒有講說可能要希望要員工要熟悉經銷商要OK有沒有把這個設定的招標的標準寫進去有沒有
transcript.whisperx[558].start 14149.239
transcript.whisperx[558].end 14165.605
transcript.whisperx[558].text 報告委員齁那是當初在設計的是112年的時候超年輕化的設計我跟委員報告齁比方說我們那個台南礦田水二十幾年來都沒有改變我進去喔欸怎麼做一個好像LKK的那個logo齁
transcript.whisperx[559].start 14166.405
transcript.whisperx[559].end 14183.602
transcript.whisperx[559].text 但是我們趁這個機會就是精進我們的礦田水的Quality然後趁機把那個不花任何錢喔不要扯別的啦我現在講的是說你你先花了116萬嘛結果這錢白花了嘛那等一下
transcript.whisperx[560].start 14184.662
transcript.whisperx[560].end 14209.28
transcript.whisperx[560].text 當初你們在起標案然後甚至於後面驗收過程當中到底是怎麼的 你在浪費那當然你們是國營事業啦 你們可能也是自負盈虧或什麼但你們也有關補成分 你等於是間接浪費納稅的錢嘛所以從這個事情我看到一個國營事業治理的一個很大的問題就是因為後面報導 有一些台塘的員工講他說這就是因為之前王美花
transcript.whisperx[561].start 14210.02
transcript.whisperx[561].end 14236.482
transcript.whisperx[561].text 他要求包括台電、中油、台糖跟台水通通都要換logo啊所以下面的人就開始換啊可是實際上台糖員工、台糖經銷商都不認為要換覺得舊的比較好嘛所以你們就花了116萬浪費了啊你是為了起標案而起標案不是有需求而起標案這個事情就讓大家覺得很莫名其妙嘛我們也是要年輕的話像我們改那你後來那你就是沒有做啊
transcript.whisperx[562].start 14237.122
transcript.whisperx[562].end 14254.315
transcript.whisperx[562].text 你就沒有做嘛 那請問一下你LOGO換了沒你LOGO換了沒 你回答我你LOGO換了沒我們兩個LOGO你LOGO換了沒嘛 你沒有換就代表你沒有做你講半天 你錢花了 你沒有做你現在跟我說你要年輕化不要再阿了啦 大家聽不下去現在部長 部長現在是這樣啦 好不好剛剛講說兩個都有在用
transcript.whisperx[563].start 14255.075
transcript.whisperx[563].end 14270.453
transcript.whisperx[563].text 那有用是不是有用在什麼地方我們有商標註冊商標註冊而已嘛你有沒有換心嘛我跟你講部長因為我剛剛講我一開始就說這跟你無關那是王美花的事情但是我覺得國營事業的治理不可以這樣
transcript.whisperx[564].start 14271.334
transcript.whisperx[564].end 14292.576
transcript.whisperx[564].text 你今天要做什麼事情 你要有需求 你再取標案不是部長突發起想 我看不順眼然後說你給我換logo 然後下面說好 那我來換然後換了以後呢 大家又覺得不OK錢花了不做 我覺得這個大家不能接受所以我希望部長你聽到之前他們這樣處理不要再發生這樣的事情主要的理由還是因為2023年整個經濟部主改
transcript.whisperx[565].start 14293.337
transcript.whisperx[565].end 14312.455
transcript.whisperx[565].text 對嘛,就因為王美花下台了嘛,所以想說部長下台好了,我們剛好就不要換,那錢已經花了啊,這很荒謬嘛然後第二個齁,台湯可以請回了,那部長另外我想請教一下你們之前外貿協會下面本來有一個處改組成為台灣設計研究院對吧
transcript.whisperx[566].start 14313.944
transcript.whisperx[566].end 14340.859
transcript.whisperx[566].text 台灣設計研究院不是外貿協會改的喔外貿協會下面有一個處啦對啊它有一個設計研究中心的樣子設計研究中心是改的這個台灣設計研究院第一任的董事長叫林全能這你應該知道是誰嘛那個做董事兼的當時都是次長兼的董事長是誰嘛怪不得他兼還是專就是董事長就是他嘛然後第二任的董事長是誰第二任董事長是是和
transcript.whisperx[567].start 14342.06
transcript.whisperx[567].end 14369.93
transcript.whisperx[567].text 何進昌 也是次長兼的嘛 對對對為人知這個設計研究院的關係他跟經濟部關係很好嘛所以才會由政務次長去兼任他的董事長沒有錯啊 因為他但是現在大家覺得很不合理的地方是什麼呢就是經濟部或者是國營事業當有設計標案的時候大概101個標案其中有98個標案都是由這一個跟經濟部關係非常良好的
transcript.whisperx[568].start 14370.39
transcript.whisperx[568].end 14397.251
transcript.whisperx[568].text 台灣設計研究院直接得標然後大概總金額是25億左右我現在想請教一下部長請問一下你們經濟部或所屬單位把標案給這個台灣設計研究院你們會公開評選嗎就是會公開徵求不同廠商來投標然後經過一個評選還是直接簽就是說因為台灣設計研究院很棒然後我們特殊需求所以我這個案子直接給他做是哪一種
transcript.whisperx[569].start 14398.372
transcript.whisperx[569].end 14421.952
transcript.whisperx[569].text 據我了解啦 因為我還沒簽過啦這個Maybe也不用簽到我這邊一定金額以下的是首長他可以直接簽沒有啊 我知道一定金額以下可以直接簽但是一定金額以下也可以公開評選嘛所以我現在是確定這個台灣經濟研究院他得標是直接簽給他還是你把資料給我好不好好不好 我現在跟你要
transcript.whisperx[570].start 14422.992
transcript.whisperx[570].end 14447.301
transcript.whisperx[570].text 總共他投標了101個經濟部相關的標案他中了98個你告訴我他多少是經過評選還有多少是直接簽給他好不好這個資料你匯後提供給我那為什麼我要這樣問呢因為如果他跟經濟部關係這麼好經濟部都直接把標案直接簽給他不用公開評選然後台灣經濟研究院得標以後他再把他發包給什麼聶永禎
transcript.whisperx[571].start 14449.822
transcript.whisperx[571].end 14467.848
transcript.whisperx[571].text 發標給他喜歡的人設計研究院 不是經濟研究院台灣設計研究院他得標 他直接拿到然後再直接發包給這些外圍廠商那他就是經濟的白手套啊這就很擺明就是規避採購法啊沒有 他好像有公開評選喔那有沒有符合採購法嘛他有沒有受採購法規範嘛
transcript.whisperx[572].start 14469.008
transcript.whisperx[572].end 14495.682
transcript.whisperx[572].text 一定要符合啊不是他有沒有他不用嘛因為採購法這一段是他拿到經濟部的案子是符合採購法因為你們直接簽我來瞭解一下但是他直接給廠商的時候就他愛給誰就給誰他是內規嘛這個是內規不是法律你不可以讓這個變成白手套嘛而且我還看過台灣設計研究院拿工業局的案子然後美化什麼工業區裡面有個美學顧問是蘇貞昌的女兒啦
transcript.whisperx[573].start 14496.562
transcript.whisperx[573].end 14519.455
transcript.whisperx[573].text 那院長所屬的管轄的經濟部然後管轄的設計研究院的案子然後找了院長的女兒來當美學顧問他應該是公開招標應該不要應該應該不應該好不好你直接跟我講好不好是他中標率很高嘛101個案子他中標98個啊因為他本來就是屬於經濟部的
transcript.whisperx[574].start 14521.036
transcript.whisperx[574].end 14549.214
transcript.whisperx[574].text 所以你們就給他我知道啊對啊所以因為沒有我像以前的這個製策會啊我們也有很多案子是給製策會啊對啊那就不要採購法好了啦如果說反正製策會我也全部給他就不要採購法了按照法所以不曉得你知道我在講什麼不要繞來繞去了啦好不好你就把資料給我就好了我們看資料再來講啦好謝謝那個請那個產發署好不好因為台灣社區一定是歸你產發署督導
transcript.whisperx[575].start 14550.074
transcript.whisperx[575].end 14569.94
transcript.whisperx[575].text 那主要業委員想要明白就是說到底他標了哪些案子哪些是公開招標哪些你執場再來就是說他拿到標案之後再下去他自己是不是也是走公開招標因為之前都是公開招標even發包出去也是但是你要去清查清楚好不好那個邱署長再去清查給這個業委員OK 謝謝
transcript.whisperx[576].start 14574.824
transcript.whisperx[576].end 14590.057
transcript.whisperx[576].text 何新淳 何新淳 何新淳委員接下來我們請廖先祥委員質詢好 謝謝主席 我要邀請我們部長跟台聯董事長我們請部長跟曾董事長
transcript.whisperx[577].start 14595.59
transcript.whisperx[577].end 14617.691
transcript.whisperx[577].text 兩位好 這個先確認一下 我們電動車還是我們國家發展的國家政策方向嘛對不對是那發展了之外就是要很多的一些其他的配套 那其中一個就是我們的電力那是不是可以先請我們的董事長跟部長說明一下我們的這個針對這個電動車啦 它的充電那其實它是也是有這個時間電價的差別
transcript.whisperx[578].start 14619.552
transcript.whisperx[578].end 14642.967
transcript.whisperx[578].text 也就是說已經就是那種外面的那種快充站如果說他有申請時間墊價的話那離峰跟尖峰分別大概是多少錢那個我跟委員報告好不好離峰跟尖峰的價格大概三跟十二塊一個八塊多一個八塊多一個四塊兩塊多對大概三塊應該十二塊三塊跟十二塊那這個如果說你是業者的話你大概會怎麼定價
transcript.whisperx[579].start 14649.38
transcript.whisperx[579].end 14671.124
transcript.whisperx[579].text 那個跟你是說充電的業者對假設你是業者的話你要賣電給電動車主嗎你大概會怎麼定價我這樣講啊那個當然是量量出為入嘛就是很簡單我我我用付了多少電費加上攤體來來收取可能的合理費用啊沒有既然我們有時間電價的話業者還會做的是如果說我現在這個時間電價是假設3塊錢那我就由3塊錢往上加
transcript.whisperx[580].start 14675.345
transcript.whisperx[580].end 14681.534
transcript.whisperx[580].text 如果我現在的時間鏈價是12塊的話那我就從12塊往上加那我們是消費者的話如果我們是消費者的話如果我們是消費者的話如果我們是消費者的話如果我們是消費者的話如果我們是消費者的話如果我們是消費者的話
transcript.whisperx[581].start 14687.832
transcript.whisperx[581].end 14709.336
transcript.whisperx[581].text 當然這個就是誰電價的意義啊那也就是說我們一天飛夏季的時候我們大概其實這應該有委員談論這個公車業者也是一樣的問題那現在就是普通的消費者我們飛夏季的時候3到這個3到9嘛對不對下午3到9那夏季的話是下午的4到10那也就是說在尖峰時間這段電價的時間電價是非常高的那我們的
transcript.whisperx[582].start 14714.143
transcript.whisperx[582].end 14736.858
transcript.whisperx[582].text 車主會避開在這段時間去充電嘛這是合理的一個消費行為那也就是說我們扣掉上班時間一般的上班族可能上班時間你一般來說也不太會去充電啊那導致說他下班之後他下班之後要去充電他要等到9點之後下季的時候9點之後下季的時間要10點之後他才能夠有比較便宜的電價去充電
transcript.whisperx[583].start 14738.237
transcript.whisperx[583].end 14748.348
transcript.whisperx[583].text 那會造成許多的車主在充電上面在時間調配上面非常的不方便我不確定台電或者是經濟部長我們工部長有沒有對這個電動車主有沒有接觸過這樣的一個訊息
transcript.whisperx[584].start 14752.023
transcript.whisperx[584].end 14763.787
transcript.whisperx[584].text 報告委員因為夜間風時間本來就是電力比較需要的時候那時候電價本來就...當然我理解你們為什麼會這樣子嘛跟其他一樣我們有間離風嘛但是我們今天如果說我們是開遊車我們24小時隨時去加入一樣的錢啊但是當我們國家我剛剛就先問部長我們國家在推動電動車的時候我們要幫電動車的車主去排除他一些使用上面的障礙嗎
transcript.whisperx[585].start 14777.051
transcript.whisperx[585].end 14803.401
transcript.whisperx[585].text 包括充電就是他們在時間上面的一個不方便的狀態他們要需要等到晚上9點之後10點之後他才有比較便宜的一個電價可以使用這件事情明顯起來他就是一個抗力跟阻力讓大家去買電動車嘛所以我們現在也支持廣設這個電動樁啦你停車的地方就有電動樁啦那你停了以後你去上班的時候也有電動樁我現在提出這個問題
transcript.whisperx[586].start 14804.801
transcript.whisperx[586].end 14818.806
transcript.whisperx[586].text 你們我想確認這個問題今天我提出來你們要不要正式嘛是是是報告委員因為如果大家全部都擠在這個下班以後來充電的話那這個再怎麼樣電力上的這個台電喔台電的的這個
transcript.whisperx[587].start 14821.327
transcript.whisperx[587].end 14836.585
transcript.whisperx[587].text 電力的問題嘛 我們知道嘛 所以說這個時間點啊 醒來醒來已久了 醒來已久了但是以前大部分受到影響的大概都是工廠比較受到影響對不對 他們可以自己調配這個上下班的時間但是一般的電動車主不是啊
transcript.whisperx[588].start 14838.593
transcript.whisperx[588].end 14855.088
transcript.whisperx[588].text 那之前我不確定是部長還是這個董事長有針對公車業者之前公車業者也有提出這樣子的需求委員在這邊提出來公車業者有這樣的需求你們評估要來檢討那現在一般的廣大消費者也有這樣的一個問題啊我們可不可以並來檢討
transcript.whisperx[589].start 14859.431
transcript.whisperx[589].end 14884.269
transcript.whisperx[589].text 跟委員說明一下第一個就是離尖峰的差別電價全世界都是不是台電自己做的第一點第二點我們的離尖峰的方案有不同的方案那你如果是充電裝業者那你可以來選擇台電提供的方案比照公車業者這當然沒有問題是啊大部分都是這樣子啊所以我目前就提出來部長現在我問你提出來你要不要解決嗎
transcript.whisperx[590].start 14885.382
transcript.whisperx[590].end 14901.133
transcript.whisperx[590].text 不是啊 就是我們已經提了方案給公車業者選他有兩段式 有三段式大部分都兩段式啊就剛剛講的3到9 4到10現在有三段式可以選那三段式也是有最便宜的跟貴的嘛對不對
transcript.whisperx[591].start 14902.318
transcript.whisperx[591].end 14915.345
transcript.whisperx[591].text 本來就有便宜跟貴的便宜的時間很長啊沒關係啊 如果說你們台電不認為這個電動車的推廣電動車主遇到的一些實際上的問題不是國家政策的話你把這個事情丟到那個店家上面講部長不講話我也沒意見啦這個不通啦部長沒意見我也沒意見啦反正你們就是口頭上說要推動電動車然後反正電動車主提出的問題你們就說這個業者的事還是你們消費者的事不關我的事
transcript.whisperx[592].start 14928.271
transcript.whisperx[592].end 14934.818
transcript.whisperx[592].text 另外一個小問題另外一個小問題啦另外一個小問題啦也是這個消費者使用的一個問題啦一般來說我們平常上班就出去嘛那年假也是大家出去了高峰期但是我們的時間電價在過去喔
transcript.whisperx[593].start 14945.829
transcript.whisperx[593].end 14966.111
transcript.whisperx[593].text 因為也沒有牽扯到一般的電動車消費者的問題我們大概以今年為例4月3號到4月6號是國定假日但是我們這個是行政院公告的這個國定假日4月3號到6號但是我們台電的這個尖梨豐的這個表大概只有4月4號跟4月5號因為4月3號跟4月6號是國定假日
transcript.whisperx[594].start 14967.913
transcript.whisperx[594].end 14991.506
transcript.whisperx[594].text 我講過是補價但是我們台電就把補價當作一般日在算這個尖利豐的電價這沒錯嘛對不對我們確實是依照著國定假日在做安排的這也是依照政府的規劃但你們跟行政院上面的紅字是不一樣的對不對沒錯吧今年的4月3號跟4月6號你們是用一般日在算啊
transcript.whisperx[595].start 14992.295
transcript.whisperx[595].end 14997.05
transcript.whisperx[595].text 不是委員我這樣子說我們本來就是有一個規則在你現在是建議說彈性休假
transcript.whisperx[596].start 14999.296
transcript.whisperx[596].end 15007.238
transcript.whisperx[596].text 應該把它放到離風去要不要一體下去離風我尊重你們但是我提出來就是電動車主的需求我離風就是我連駕的時候我會出去嘛但是我要出去的時候這一點導致我們可以來評估因為講簡單一點就是彈線休假以後它就容易變離風那我們就來我們就讓它在實質離風這件事情做反應對我現在
transcript.whisperx[597].start 15023.781
transcript.whisperx[597].end 15049.805
transcript.whisperx[597].text 好 那謝謝董事長願意在這點上面做談論我現在今天提出來就是我是一個電動車主那我在實際上我知道很多電動車主都會遇到的一些問題那既然電動車是國家持續推廣的方向那我也希望台電是提供能源的一個角度那也可以多傾聽電動車主的意見來做政策上面電價的一些調整好不好 那就麻煩部長 謝謝好 謝謝廖耀忻 翔偉謝謝部長跟董事長
transcript.whisperx[598].start 15054.264
transcript.whisperx[598].end 15057.256
transcript.whisperx[598].text 侯孟凱侯孟凱侯孟凱委員
transcript.whisperx[599].start 15059.482
transcript.whisperx[599].end 15084.65
transcript.whisperx[599].text 根據發言委員處不在場外區已經已發言完畢詢答結束委員羅志強、洪玉祥、張家俊、邱志偉、賴瑞榮所提書面質詢列入記錄刊登公報書面質詢和未及答覆部分請相關單位一週內以書面答覆並複製本會委員另要求期限者從期所定各位委員針對於刷案或相關提案請於6月5號
transcript.whisperx[600].start 15086.671
transcript.whisperx[600].end 15100.441
transcript.whisperx[600].text 星期五下午5點前送經紀委員會辦公室以律後續會診 預時不再收案討論事項 所列議案詢答結束並定期繼續進行審查謝謝大家 現在休息