iVOD / 17031

Field Value
IVOD_ID 17031
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/17031
日期 2025-11-13
會議資料.會議代碼 委員會-11-4-23-6
會議資料.會議代碼:str 第11屆第4會期交通委員會第6次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 6
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.委員會代碼:str[0] 交通委員會
會議資料.標題 第11屆第4會期交通委員會第6次全體委員會議
影片種類 Full
開始時間 2025-11-13T08:38:48+08:00
結束時間 2025-11-13T12:45:00+08:00
影片長度 04:06:12
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/f826c2e4afc302dd9bd2a7f32a503ebbd0e6bba5c98e1de1914d0d15f34b2c02fcea6bc8aa79978d5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2025-11-13T09:00:00+08:00
會議名稱 立法院第11屆第4會期交通委員會第6次全體委員會議(事由:邀請行政院公共工程委員會主任委員陳金德列席報告業務概況,並備質詢。)
委員名稱 完整會議
委員發言時間 08:38:48 - 12:45:00
transcript.pyannote[0].speaker SPEAKER_28
transcript.pyannote[0].start 1266.90471875
transcript.pyannote[0].end 1272.77721875
transcript.pyannote[1].speaker SPEAKER_28
transcript.pyannote[1].start 1273.38471875
transcript.pyannote[1].end 1277.50221875
transcript.pyannote[2].speaker SPEAKER_22
transcript.pyannote[2].start 1280.80971875
transcript.pyannote[2].end 1281.07971875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 1284.20159375
transcript.pyannote[3].end 1305.68346875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 1306.08846875
transcript.pyannote[4].end 1316.68596875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 1317.32721875
transcript.pyannote[5].end 1338.06659375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 1338.35346875
transcript.pyannote[6].end 1340.12534375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 1340.59784375
transcript.pyannote[7].end 1342.01534375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 1342.50471875
transcript.pyannote[8].end 1354.35096875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 1354.92471875
transcript.pyannote[9].end 1375.51221875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 1375.76534375
transcript.pyannote[10].end 1379.68034375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 1379.93346875
transcript.pyannote[11].end 1395.30659375
transcript.pyannote[12].speaker SPEAKER_28
transcript.pyannote[12].start 1397.09534375
transcript.pyannote[12].end 1397.41596875
transcript.pyannote[13].speaker SPEAKER_28
transcript.pyannote[13].start 1397.85471875
transcript.pyannote[13].end 1399.91346875
transcript.pyannote[14].speaker SPEAKER_28
transcript.pyannote[14].start 1400.23409375
transcript.pyannote[14].end 1402.37721875
transcript.pyannote[15].speaker SPEAKER_28
transcript.pyannote[15].start 1402.63034375
transcript.pyannote[15].end 1404.08159375
transcript.pyannote[16].speaker SPEAKER_28
transcript.pyannote[16].start 1407.06846875
transcript.pyannote[16].end 1408.48596875
transcript.pyannote[17].speaker SPEAKER_28
transcript.pyannote[17].start 1408.80659375
transcript.pyannote[17].end 1411.03409375
transcript.pyannote[18].speaker SPEAKER_28
transcript.pyannote[18].start 1411.35471875
transcript.pyannote[18].end 1412.89034375
transcript.pyannote[19].speaker SPEAKER_28
transcript.pyannote[19].start 1414.54409375
transcript.pyannote[19].end 1415.89409375
transcript.pyannote[20].speaker SPEAKER_28
transcript.pyannote[20].start 1415.96159375
transcript.pyannote[20].end 1418.30721875
transcript.pyannote[21].speaker SPEAKER_28
transcript.pyannote[21].start 1419.08346875
transcript.pyannote[21].end 1420.97346875
transcript.pyannote[22].speaker SPEAKER_28
transcript.pyannote[22].start 1421.44596875
transcript.pyannote[22].end 1423.97721875
transcript.pyannote[23].speaker SPEAKER_28
transcript.pyannote[23].start 1425.59721875
transcript.pyannote[23].end 1427.43659375
transcript.pyannote[24].speaker SPEAKER_28
transcript.pyannote[24].start 1429.54596875
transcript.pyannote[24].end 1432.27971875
transcript.pyannote[25].speaker SPEAKER_28
transcript.pyannote[25].start 1434.67596875
transcript.pyannote[25].end 1437.30846875
transcript.pyannote[26].speaker SPEAKER_28
transcript.pyannote[26].start 1438.48971875
transcript.pyannote[26].end 1441.49346875
transcript.pyannote[27].speaker SPEAKER_28
transcript.pyannote[27].start 1444.26096875
transcript.pyannote[27].end 1445.18909375
transcript.pyannote[28].speaker SPEAKER_28
transcript.pyannote[28].start 1445.71221875
transcript.pyannote[28].end 1447.73721875
transcript.pyannote[29].speaker SPEAKER_28
transcript.pyannote[29].start 1449.69471875
transcript.pyannote[29].end 1450.99409375
transcript.pyannote[30].speaker SPEAKER_28
transcript.pyannote[30].start 1458.68909375
transcript.pyannote[30].end 1465.64159375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 1474.77096875
transcript.pyannote[31].end 1480.18784375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 1480.64346875
transcript.pyannote[32].end 1485.31784375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 1485.52034375
transcript.pyannote[33].end 1487.00534375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 1487.56221875
transcript.pyannote[34].end 1493.33346875
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 1493.65409375
transcript.pyannote[35].end 1497.04596875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 1497.53534375
transcript.pyannote[36].end 1501.95659375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 1502.36159375
transcript.pyannote[37].end 1503.37409375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 1503.82971875
transcript.pyannote[38].end 1506.58034375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 1506.66471875
transcript.pyannote[39].end 1508.63909375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 1508.95971875
transcript.pyannote[40].end 1514.24159375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 1514.96721875
transcript.pyannote[41].end 1519.11846875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 1519.37159375
transcript.pyannote[42].end 1520.65409375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 1521.05909375
transcript.pyannote[43].end 1522.79721875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 1522.98284375
transcript.pyannote[44].end 1525.02471875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 1525.34534375
transcript.pyannote[45].end 1527.55596875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 1527.82596875
transcript.pyannote[46].end 1534.37346875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 1534.74471875
transcript.pyannote[47].end 1535.85846875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 1536.24659375
transcript.pyannote[48].end 1539.01409375
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 1539.28409375
transcript.pyannote[49].end 1540.51596875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 1541.22471875
transcript.pyannote[50].end 1545.67971875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 1546.45596875
transcript.pyannote[51].end 1546.94534375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 1547.83971875
transcript.pyannote[52].end 1552.09221875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 1552.26096875
transcript.pyannote[53].end 1554.01596875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 1554.15096875
transcript.pyannote[54].end 1557.05346875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 1557.35721875
transcript.pyannote[55].end 1560.24284375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 1560.56346875
transcript.pyannote[56].end 1562.30159375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 1562.45346875
transcript.pyannote[57].end 1563.98909375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 1564.20846875
transcript.pyannote[58].end 1566.58784375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 1567.49909375
transcript.pyannote[59].end 1568.03909375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 1568.44409375
transcript.pyannote[60].end 1570.95846875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 1571.36346875
transcript.pyannote[61].end 1574.63721875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 1574.82284375
transcript.pyannote[62].end 1578.41721875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 1578.72096875
transcript.pyannote[63].end 1583.80034375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 1589.03159375
transcript.pyannote[64].end 1597.70534375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 1600.38846875
transcript.pyannote[65].end 1600.79346875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 1601.68784375
transcript.pyannote[66].end 1602.76784375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 1602.93659375
transcript.pyannote[67].end 1607.08784375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 1607.54346875
transcript.pyannote[68].end 1620.65534375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 1621.56659375
transcript.pyannote[69].end 1622.07284375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 1622.57909375
transcript.pyannote[70].end 1623.55784375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 1623.70971875
transcript.pyannote[71].end 1628.36721875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 1628.85659375
transcript.pyannote[72].end 1629.44721875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 1629.81846875
transcript.pyannote[73].end 1632.21471875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 1632.50159375
transcript.pyannote[74].end 1636.72034375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 1637.69909375
transcript.pyannote[75].end 1638.17159375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 1638.61034375
transcript.pyannote[76].end 1645.19159375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 1645.59659375
transcript.pyannote[77].end 1647.01409375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 1647.58784375
transcript.pyannote[78].end 1648.16159375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 1648.48221875
transcript.pyannote[79].end 1649.66346875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 1650.15284375
transcript.pyannote[80].end 1652.16096875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 1652.36346875
transcript.pyannote[81].end 1655.02971875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 1655.29971875
transcript.pyannote[82].end 1659.46784375
transcript.pyannote[83].speaker SPEAKER_28
transcript.pyannote[83].start 1666.84221875
transcript.pyannote[83].end 1669.98096875
transcript.pyannote[84].speaker SPEAKER_28
transcript.pyannote[84].start 1670.77409375
transcript.pyannote[84].end 1672.47846875
transcript.pyannote[85].speaker SPEAKER_28
transcript.pyannote[85].start 1673.06909375
transcript.pyannote[85].end 1676.59596875
transcript.pyannote[86].speaker SPEAKER_28
transcript.pyannote[86].start 1676.96721875
transcript.pyannote[86].end 1679.09346875
transcript.pyannote[87].speaker SPEAKER_28
transcript.pyannote[87].start 1679.97096875
transcript.pyannote[87].end 1681.25346875
transcript.pyannote[88].speaker SPEAKER_28
transcript.pyannote[88].start 1681.47284375
transcript.pyannote[88].end 1683.58221875
transcript.pyannote[89].speaker SPEAKER_28
transcript.pyannote[89].start 1684.47659375
transcript.pyannote[89].end 1686.31596875
transcript.pyannote[90].speaker SPEAKER_28
transcript.pyannote[90].start 1686.50159375
transcript.pyannote[90].end 1688.54346875
transcript.pyannote[91].speaker SPEAKER_28
transcript.pyannote[91].start 1689.06659375
transcript.pyannote[91].end 1690.93971875
transcript.pyannote[92].speaker SPEAKER_28
transcript.pyannote[92].start 1691.59784375
transcript.pyannote[92].end 1694.93909375
transcript.pyannote[93].speaker SPEAKER_28
transcript.pyannote[93].start 1695.49596875
transcript.pyannote[93].end 1699.90034375
transcript.pyannote[94].speaker SPEAKER_18
transcript.pyannote[94].start 1709.45159375
transcript.pyannote[94].end 1711.76346875
transcript.pyannote[95].speaker SPEAKER_18
transcript.pyannote[95].start 1711.96596875
transcript.pyannote[95].end 1711.98284375
transcript.pyannote[96].speaker SPEAKER_28
transcript.pyannote[96].start 1711.98284375
transcript.pyannote[96].end 1713.06284375
transcript.pyannote[97].speaker SPEAKER_18
transcript.pyannote[97].start 1719.64409375
transcript.pyannote[97].end 1731.54096875
transcript.pyannote[98].speaker SPEAKER_18
transcript.pyannote[98].start 1731.72659375
transcript.pyannote[98].end 1733.09346875
transcript.pyannote[99].speaker SPEAKER_18
transcript.pyannote[99].start 1733.73471875
transcript.pyannote[99].end 1752.34784375
transcript.pyannote[100].speaker SPEAKER_18
transcript.pyannote[100].start 1752.41534375
transcript.pyannote[100].end 1760.76846875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 1760.80221875
transcript.pyannote[101].end 1766.28659375
transcript.pyannote[102].speaker SPEAKER_18
transcript.pyannote[102].start 1765.93221875
transcript.pyannote[102].end 1766.25284375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 1766.47221875
transcript.pyannote[103].end 1767.40034375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 1767.65346875
transcript.pyannote[104].end 1768.68284375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 1768.96971875
transcript.pyannote[105].end 1769.77971875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 1770.30284375
transcript.pyannote[106].end 1777.99784375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 1778.57159375
transcript.pyannote[107].end 1780.15784375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 1780.44471875
transcript.pyannote[108].end 1780.93409375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 1781.28846875
transcript.pyannote[109].end 1785.18659375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 1785.57471875
transcript.pyannote[110].end 1797.97784375
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 1791.78471875
transcript.pyannote[111].end 1792.18971875
transcript.pyannote[112].speaker SPEAKER_18
transcript.pyannote[112].start 1792.18971875
transcript.pyannote[112].end 1792.20659375
transcript.pyannote[113].speaker SPEAKER_18
transcript.pyannote[113].start 1797.57284375
transcript.pyannote[113].end 1798.70346875
transcript.pyannote[114].speaker SPEAKER_18
transcript.pyannote[114].start 1798.95659375
transcript.pyannote[114].end 1811.19096875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 1811.73096875
transcript.pyannote[115].end 1822.02471875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 1819.83096875
transcript.pyannote[116].end 1819.84784375
transcript.pyannote[117].speaker SPEAKER_18
transcript.pyannote[117].start 1819.84784375
transcript.pyannote[117].end 1819.91534375
transcript.pyannote[118].speaker SPEAKER_22
transcript.pyannote[118].start 1819.91534375
transcript.pyannote[118].end 1820.05034375
transcript.pyannote[119].speaker SPEAKER_18
transcript.pyannote[119].start 1820.05034375
transcript.pyannote[119].end 1820.13471875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 1822.07534375
transcript.pyannote[120].end 1829.97284375
transcript.pyannote[121].speaker SPEAKER_18
transcript.pyannote[121].start 1829.97284375
transcript.pyannote[121].end 1830.41159375
transcript.pyannote[122].speaker SPEAKER_18
transcript.pyannote[122].start 1830.71534375
transcript.pyannote[122].end 1839.22034375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 1839.96284375
transcript.pyannote[123].end 1848.02909375
transcript.pyannote[124].speaker SPEAKER_18
transcript.pyannote[124].start 1844.36721875
transcript.pyannote[124].end 1844.67096875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 1848.34971875
transcript.pyannote[125].end 1858.99784375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 1859.26784375
transcript.pyannote[126].end 1862.47409375
transcript.pyannote[127].speaker SPEAKER_18
transcript.pyannote[127].start 1862.60909375
transcript.pyannote[127].end 1872.17721875
transcript.pyannote[128].speaker SPEAKER_18
transcript.pyannote[128].start 1872.49784375
transcript.pyannote[128].end 1879.19721875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 1879.36596875
transcript.pyannote[129].end 1886.16659375
transcript.pyannote[130].speaker SPEAKER_18
transcript.pyannote[130].start 1879.95659375
transcript.pyannote[130].end 1880.44596875
transcript.pyannote[131].speaker SPEAKER_18
transcript.pyannote[131].start 1886.09909375
transcript.pyannote[131].end 1886.14971875
transcript.pyannote[132].speaker SPEAKER_18
transcript.pyannote[132].start 1886.16659375
transcript.pyannote[132].end 1893.94596875
transcript.pyannote[133].speaker SPEAKER_18
transcript.pyannote[133].start 1894.14846875
transcript.pyannote[133].end 1917.13221875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 1918.44846875
transcript.pyannote[134].end 1927.62846875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 1927.88159375
transcript.pyannote[135].end 1933.46721875
transcript.pyannote[136].speaker SPEAKER_18
transcript.pyannote[136].start 1933.66971875
transcript.pyannote[136].end 1949.88659375
transcript.pyannote[137].speaker SPEAKER_18
transcript.pyannote[137].start 1950.40971875
transcript.pyannote[137].end 1974.86159375
transcript.pyannote[138].speaker SPEAKER_18
transcript.pyannote[138].start 1975.78971875
transcript.pyannote[138].end 1975.80659375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 1975.80659375
transcript.pyannote[139].end 1976.21159375
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 1976.29596875
transcript.pyannote[140].end 1987.23096875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 1987.95659375
transcript.pyannote[141].end 1993.54221875
transcript.pyannote[142].speaker SPEAKER_18
transcript.pyannote[142].start 1993.23846875
transcript.pyannote[142].end 1997.13659375
transcript.pyannote[143].speaker SPEAKER_18
transcript.pyannote[143].start 1997.44034375
transcript.pyannote[143].end 2013.48846875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 1997.47409375
transcript.pyannote[144].end 1998.13221875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 2013.48846875
transcript.pyannote[145].end 2018.98971875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 2019.61409375
transcript.pyannote[146].end 2040.43784375
transcript.pyannote[147].speaker SPEAKER_18
transcript.pyannote[147].start 2036.33721875
transcript.pyannote[147].end 2038.04159375
transcript.pyannote[148].speaker SPEAKER_18
transcript.pyannote[148].start 2039.17221875
transcript.pyannote[148].end 2044.97721875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 2044.40346875
transcript.pyannote[149].end 2056.78971875
transcript.pyannote[150].speaker SPEAKER_18
transcript.pyannote[150].start 2045.82096875
transcript.pyannote[150].end 2046.49596875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 2057.16096875
transcript.pyannote[151].end 2058.56159375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 2058.66284375
transcript.pyannote[152].end 2061.12659375
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 2061.17721875
transcript.pyannote[153].end 2062.35846875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 2062.64534375
transcript.pyannote[154].end 2072.85471875
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 2073.09096875
transcript.pyannote[155].end 2081.91659375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 2082.22034375
transcript.pyannote[156].end 2087.29971875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 2087.56971875
transcript.pyannote[157].end 2088.58221875
transcript.pyannote[158].speaker SPEAKER_18
transcript.pyannote[158].start 2088.58221875
transcript.pyannote[158].end 2089.03784375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 2089.39221875
transcript.pyannote[159].end 2089.96596875
transcript.pyannote[160].speaker SPEAKER_18
transcript.pyannote[160].start 2089.96596875
transcript.pyannote[160].end 2092.10909375
transcript.pyannote[161].speaker SPEAKER_18
transcript.pyannote[161].start 2092.51409375
transcript.pyannote[161].end 2093.88096875
transcript.pyannote[162].speaker SPEAKER_18
transcript.pyannote[162].start 2094.48846875
transcript.pyannote[162].end 2133.97596875
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 2134.06034375
transcript.pyannote[163].end 2143.67909375
transcript.pyannote[164].speaker SPEAKER_18
transcript.pyannote[164].start 2135.27534375
transcript.pyannote[164].end 2135.51159375
transcript.pyannote[165].speaker SPEAKER_18
transcript.pyannote[165].start 2143.30784375
transcript.pyannote[165].end 2143.83096875
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 2143.71284375
transcript.pyannote[166].end 2143.76346875
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 2143.83096875
transcript.pyannote[167].end 2143.96596875
transcript.pyannote[168].speaker SPEAKER_18
transcript.pyannote[168].start 2143.96596875
transcript.pyannote[168].end 2156.67284375
transcript.pyannote[169].speaker SPEAKER_18
transcript.pyannote[169].start 2157.58409375
transcript.pyannote[169].end 2159.06909375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 2158.29284375
transcript.pyannote[170].end 2165.29596875
transcript.pyannote[171].speaker SPEAKER_18
transcript.pyannote[171].start 2160.23346875
transcript.pyannote[171].end 2160.52034375
transcript.pyannote[172].speaker SPEAKER_18
transcript.pyannote[172].start 2163.00096875
transcript.pyannote[172].end 2167.77659375
transcript.pyannote[173].speaker SPEAKER_18
transcript.pyannote[173].start 2168.08034375
transcript.pyannote[173].end 2168.53596875
transcript.pyannote[174].speaker SPEAKER_18
transcript.pyannote[174].start 2168.60346875
transcript.pyannote[174].end 2170.30784375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 2170.30784375
transcript.pyannote[175].end 2174.30721875
transcript.pyannote[176].speaker SPEAKER_18
transcript.pyannote[176].start 2170.35846875
transcript.pyannote[176].end 2173.71659375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 2175.10034375
transcript.pyannote[177].end 2177.66534375
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 2177.98596875
transcript.pyannote[178].end 2185.49534375
transcript.pyannote[179].speaker SPEAKER_06
transcript.pyannote[179].start 2183.40284375
transcript.pyannote[179].end 2183.68971875
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 2185.63034375
transcript.pyannote[180].end 2207.43284375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 2185.95096875
transcript.pyannote[181].end 2186.17034375
transcript.pyannote[182].speaker SPEAKER_18
transcript.pyannote[182].start 2201.44221875
transcript.pyannote[182].end 2201.67846875
transcript.pyannote[183].speaker SPEAKER_18
transcript.pyannote[183].start 2208.95159375
transcript.pyannote[183].end 2221.27034375
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 2218.11471875
transcript.pyannote[184].end 2226.94034375
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 2227.37909375
transcript.pyannote[185].end 2234.58471875
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 2234.68596875
transcript.pyannote[186].end 2235.37784375
transcript.pyannote[187].speaker SPEAKER_18
transcript.pyannote[187].start 2234.85471875
transcript.pyannote[187].end 2237.84159375
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 2237.28471875
transcript.pyannote[188].end 2242.80284375
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 2243.17409375
transcript.pyannote[189].end 2247.30846875
transcript.pyannote[190].speaker SPEAKER_18
transcript.pyannote[190].start 2247.30846875
transcript.pyannote[190].end 2249.29971875
transcript.pyannote[191].speaker SPEAKER_18
transcript.pyannote[191].start 2250.53159375
transcript.pyannote[191].end 2274.08909375
transcript.pyannote[192].speaker SPEAKER_18
transcript.pyannote[192].start 2275.08471875
transcript.pyannote[192].end 2275.45596875
transcript.pyannote[193].speaker SPEAKER_18
transcript.pyannote[193].start 2276.45159375
transcript.pyannote[193].end 2279.45534375
transcript.pyannote[194].speaker SPEAKER_18
transcript.pyannote[194].start 2279.60721875
transcript.pyannote[194].end 2291.50409375
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 2291.50409375
transcript.pyannote[195].end 2291.52096875
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 2292.06096875
transcript.pyannote[196].end 2300.97096875
transcript.pyannote[197].speaker SPEAKER_18
transcript.pyannote[197].start 2298.45659375
transcript.pyannote[197].end 2299.51971875
transcript.pyannote[198].speaker SPEAKER_18
transcript.pyannote[198].start 2300.97096875
transcript.pyannote[198].end 2301.30846875
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 2301.30846875
transcript.pyannote[199].end 2301.39284375
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 2301.47721875
transcript.pyannote[200].end 2309.37471875
transcript.pyannote[201].speaker SPEAKER_18
transcript.pyannote[201].start 2308.26096875
transcript.pyannote[201].end 2316.95159375
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 2311.45034375
transcript.pyannote[202].end 2312.14221875
transcript.pyannote[203].speaker SPEAKER_18
transcript.pyannote[203].start 2317.72784375
transcript.pyannote[203].end 2319.02721875
transcript.pyannote[204].speaker SPEAKER_18
transcript.pyannote[204].start 2319.06096875
transcript.pyannote[204].end 2322.25034375
transcript.pyannote[205].speaker SPEAKER_18
transcript.pyannote[205].start 2325.81096875
transcript.pyannote[205].end 2332.10534375
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 2329.11846875
transcript.pyannote[206].end 2330.75534375
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 2332.10534375
transcript.pyannote[207].end 2348.94659375
transcript.pyannote[208].speaker SPEAKER_18
transcript.pyannote[208].start 2336.52659375
transcript.pyannote[208].end 2336.56034375
transcript.pyannote[209].speaker SPEAKER_22
transcript.pyannote[209].start 2336.56034375
transcript.pyannote[209].end 2336.67846875
transcript.pyannote[210].speaker SPEAKER_22
transcript.pyannote[210].start 2347.69784375
transcript.pyannote[210].end 2349.23346875
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 2349.23346875
transcript.pyannote[211].end 2350.80284375
transcript.pyannote[212].speaker SPEAKER_22
transcript.pyannote[212].start 2349.38534375
transcript.pyannote[212].end 2349.41909375
transcript.pyannote[213].speaker SPEAKER_22
transcript.pyannote[213].start 2349.43596875
transcript.pyannote[213].end 2349.50346875
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 2351.20784375
transcript.pyannote[214].end 2353.06409375
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 2353.41846875
transcript.pyannote[215].end 2358.75096875
transcript.pyannote[216].speaker SPEAKER_18
transcript.pyannote[216].start 2354.07659375
transcript.pyannote[216].end 2355.56159375
transcript.pyannote[217].speaker SPEAKER_18
transcript.pyannote[217].start 2355.86534375
transcript.pyannote[217].end 2356.48971875
transcript.pyannote[218].speaker SPEAKER_18
transcript.pyannote[218].start 2358.75096875
transcript.pyannote[218].end 2359.15596875
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 2359.15596875
transcript.pyannote[219].end 2359.35846875
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 2359.56096875
transcript.pyannote[220].end 2364.04971875
transcript.pyannote[221].speaker SPEAKER_18
transcript.pyannote[221].start 2363.40846875
transcript.pyannote[221].end 2366.47971875
transcript.pyannote[222].speaker SPEAKER_18
transcript.pyannote[222].start 2367.12096875
transcript.pyannote[222].end 2378.42721875
transcript.pyannote[223].speaker SPEAKER_18
transcript.pyannote[223].start 2379.06846875
transcript.pyannote[223].end 2379.64221875
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 2379.77721875
transcript.pyannote[224].end 2384.21534375
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 2384.51909375
transcript.pyannote[225].end 2395.84221875
transcript.pyannote[226].speaker SPEAKER_18
transcript.pyannote[226].start 2394.67784375
transcript.pyannote[226].end 2398.79534375
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 2398.79534375
transcript.pyannote[227].end 2400.38159375
transcript.pyannote[228].speaker SPEAKER_18
transcript.pyannote[228].start 2400.38159375
transcript.pyannote[228].end 2400.44909375
transcript.pyannote[229].speaker SPEAKER_02
transcript.pyannote[229].start 2400.44909375
transcript.pyannote[229].end 2400.55034375
transcript.pyannote[230].speaker SPEAKER_18
transcript.pyannote[230].start 2400.55034375
transcript.pyannote[230].end 2400.58409375
transcript.pyannote[231].speaker SPEAKER_02
transcript.pyannote[231].start 2400.58409375
transcript.pyannote[231].end 2400.60096875
transcript.pyannote[232].speaker SPEAKER_18
transcript.pyannote[232].start 2400.92159375
transcript.pyannote[232].end 2401.24221875
transcript.pyannote[233].speaker SPEAKER_18
transcript.pyannote[233].start 2402.13659375
transcript.pyannote[233].end 2406.55784375
transcript.pyannote[234].speaker SPEAKER_18
transcript.pyannote[234].start 2406.82784375
transcript.pyannote[234].end 2407.23284375
transcript.pyannote[235].speaker SPEAKER_28
transcript.pyannote[235].start 2407.23284375
transcript.pyannote[235].end 2407.24971875
transcript.pyannote[236].speaker SPEAKER_28
transcript.pyannote[236].start 2407.67159375
transcript.pyannote[236].end 2411.24909375
transcript.pyannote[237].speaker SPEAKER_28
transcript.pyannote[237].start 2411.55284375
transcript.pyannote[237].end 2417.23971875
transcript.pyannote[238].speaker SPEAKER_28
transcript.pyannote[238].start 2417.79659375
transcript.pyannote[238].end 2418.57284375
transcript.pyannote[239].speaker SPEAKER_28
transcript.pyannote[239].start 2418.87659375
transcript.pyannote[239].end 2421.59346875
transcript.pyannote[240].speaker SPEAKER_09
transcript.pyannote[240].start 2429.96346875
transcript.pyannote[240].end 2431.04346875
transcript.pyannote[241].speaker SPEAKER_09
transcript.pyannote[241].start 2431.68471875
transcript.pyannote[241].end 2437.42221875
transcript.pyannote[242].speaker SPEAKER_09
transcript.pyannote[242].start 2441.43846875
transcript.pyannote[242].end 2441.47221875
transcript.pyannote[243].speaker SPEAKER_10
transcript.pyannote[243].start 2441.47221875
transcript.pyannote[243].end 2442.97409375
transcript.pyannote[244].speaker SPEAKER_10
transcript.pyannote[244].start 2443.91909375
transcript.pyannote[244].end 2454.19596875
transcript.pyannote[245].speaker SPEAKER_10
transcript.pyannote[245].start 2454.85409375
transcript.pyannote[245].end 2458.51596875
transcript.pyannote[246].speaker SPEAKER_10
transcript.pyannote[246].start 2458.76909375
transcript.pyannote[246].end 2469.13034375
transcript.pyannote[247].speaker SPEAKER_10
transcript.pyannote[247].start 2469.55221875
transcript.pyannote[247].end 2475.32346875
transcript.pyannote[248].speaker SPEAKER_10
transcript.pyannote[248].start 2476.13346875
transcript.pyannote[248].end 2483.17034375
transcript.pyannote[249].speaker SPEAKER_10
transcript.pyannote[249].start 2483.92971875
transcript.pyannote[249].end 2493.10971875
transcript.pyannote[250].speaker SPEAKER_10
transcript.pyannote[250].start 2493.76784375
transcript.pyannote[250].end 2494.57784375
transcript.pyannote[251].speaker SPEAKER_10
transcript.pyannote[251].start 2494.94909375
transcript.pyannote[251].end 2516.34659375
transcript.pyannote[252].speaker SPEAKER_10
transcript.pyannote[252].start 2516.78534375
transcript.pyannote[252].end 2524.04159375
transcript.pyannote[253].speaker SPEAKER_10
transcript.pyannote[253].start 2524.22721875
transcript.pyannote[253].end 2524.96971875
transcript.pyannote[254].speaker SPEAKER_10
transcript.pyannote[254].start 2525.22284375
transcript.pyannote[254].end 2526.11721875
transcript.pyannote[255].speaker SPEAKER_10
transcript.pyannote[255].start 2526.65721875
transcript.pyannote[255].end 2527.82159375
transcript.pyannote[256].speaker SPEAKER_10
transcript.pyannote[256].start 2528.41221875
transcript.pyannote[256].end 2547.09284375
transcript.pyannote[257].speaker SPEAKER_10
transcript.pyannote[257].start 2547.41346875
transcript.pyannote[257].end 2552.45909375
transcript.pyannote[258].speaker SPEAKER_10
transcript.pyannote[258].start 2552.91471875
transcript.pyannote[258].end 2557.47096875
transcript.pyannote[259].speaker SPEAKER_10
transcript.pyannote[259].start 2558.33159375
transcript.pyannote[259].end 2569.13159375
transcript.pyannote[260].speaker SPEAKER_10
transcript.pyannote[260].start 2569.35096875
transcript.pyannote[260].end 2580.38721875
transcript.pyannote[261].speaker SPEAKER_10
transcript.pyannote[261].start 2581.06221875
transcript.pyannote[261].end 2581.58534375
transcript.pyannote[262].speaker SPEAKER_10
transcript.pyannote[262].start 2582.27721875
transcript.pyannote[262].end 2583.66096875
transcript.pyannote[263].speaker SPEAKER_10
transcript.pyannote[263].start 2584.47096875
transcript.pyannote[263].end 2590.17471875
transcript.pyannote[264].speaker SPEAKER_10
transcript.pyannote[264].start 2590.69784375
transcript.pyannote[264].end 2599.65846875
transcript.pyannote[265].speaker SPEAKER_10
transcript.pyannote[265].start 2599.82721875
transcript.pyannote[265].end 2609.17596875
transcript.pyannote[266].speaker SPEAKER_02
transcript.pyannote[266].start 2610.15471875
transcript.pyannote[266].end 2615.18346875
transcript.pyannote[267].speaker SPEAKER_02
transcript.pyannote[267].start 2615.74034375
transcript.pyannote[267].end 2617.36034375
transcript.pyannote[268].speaker SPEAKER_02
transcript.pyannote[268].start 2617.68096875
transcript.pyannote[268].end 2624.73471875
transcript.pyannote[269].speaker SPEAKER_02
transcript.pyannote[269].start 2625.12284375
transcript.pyannote[269].end 2625.52784375
transcript.pyannote[270].speaker SPEAKER_02
transcript.pyannote[270].start 2626.38846875
transcript.pyannote[270].end 2629.39221875
transcript.pyannote[271].speaker SPEAKER_02
transcript.pyannote[271].start 2629.72971875
transcript.pyannote[271].end 2630.50596875
transcript.pyannote[272].speaker SPEAKER_02
transcript.pyannote[272].start 2631.45096875
transcript.pyannote[272].end 2636.61471875
transcript.pyannote[273].speaker SPEAKER_02
transcript.pyannote[273].start 2636.81721875
transcript.pyannote[273].end 2637.67784375
transcript.pyannote[274].speaker SPEAKER_02
transcript.pyannote[274].start 2637.74534375
transcript.pyannote[274].end 2641.15409375
transcript.pyannote[275].speaker SPEAKER_02
transcript.pyannote[275].start 2641.27221875
transcript.pyannote[275].end 2644.96784375
transcript.pyannote[276].speaker SPEAKER_10
transcript.pyannote[276].start 2644.76534375
transcript.pyannote[276].end 2646.01409375
transcript.pyannote[277].speaker SPEAKER_10
transcript.pyannote[277].start 2646.25034375
transcript.pyannote[277].end 2655.95346875
transcript.pyannote[278].speaker SPEAKER_10
transcript.pyannote[278].start 2656.44284375
transcript.pyannote[278].end 2661.74159375
transcript.pyannote[279].speaker SPEAKER_10
transcript.pyannote[279].start 2662.14659375
transcript.pyannote[279].end 2676.91221875
transcript.pyannote[280].speaker SPEAKER_10
transcript.pyannote[280].start 2677.28346875
transcript.pyannote[280].end 2680.32096875
transcript.pyannote[281].speaker SPEAKER_02
transcript.pyannote[281].start 2681.83971875
transcript.pyannote[281].end 2682.17721875
transcript.pyannote[282].speaker SPEAKER_10
transcript.pyannote[282].start 2682.17721875
transcript.pyannote[282].end 2684.16846875
transcript.pyannote[283].speaker SPEAKER_02
transcript.pyannote[283].start 2682.24471875
transcript.pyannote[283].end 2685.77159375
transcript.pyannote[284].speaker SPEAKER_10
transcript.pyannote[284].start 2684.48909375
transcript.pyannote[284].end 2685.34971875
transcript.pyannote[285].speaker SPEAKER_02
transcript.pyannote[285].start 2686.10909375
transcript.pyannote[285].end 2686.71659375
transcript.pyannote[286].speaker SPEAKER_10
transcript.pyannote[286].start 2686.21034375
transcript.pyannote[286].end 2686.66596875
transcript.pyannote[287].speaker SPEAKER_10
transcript.pyannote[287].start 2687.18909375
transcript.pyannote[287].end 2689.48409375
transcript.pyannote[288].speaker SPEAKER_10
transcript.pyannote[288].start 2690.85096875
transcript.pyannote[288].end 2691.27284375
transcript.pyannote[289].speaker SPEAKER_10
transcript.pyannote[289].start 2693.24721875
transcript.pyannote[289].end 2693.55096875
transcript.pyannote[290].speaker SPEAKER_10
transcript.pyannote[290].start 2694.25971875
transcript.pyannote[290].end 2696.63909375
transcript.pyannote[291].speaker SPEAKER_02
transcript.pyannote[291].start 2697.68534375
transcript.pyannote[291].end 2700.94221875
transcript.pyannote[292].speaker SPEAKER_10
transcript.pyannote[292].start 2700.25034375
transcript.pyannote[292].end 2701.07721875
transcript.pyannote[293].speaker SPEAKER_02
transcript.pyannote[293].start 2701.07721875
transcript.pyannote[293].end 2701.09409375
transcript.pyannote[294].speaker SPEAKER_10
transcript.pyannote[294].start 2701.09409375
transcript.pyannote[294].end 2701.12784375
transcript.pyannote[295].speaker SPEAKER_02
transcript.pyannote[295].start 2701.12784375
transcript.pyannote[295].end 2701.60034375
transcript.pyannote[296].speaker SPEAKER_10
transcript.pyannote[296].start 2701.60034375
transcript.pyannote[296].end 2703.20346875
transcript.pyannote[297].speaker SPEAKER_10
transcript.pyannote[297].start 2704.87409375
transcript.pyannote[297].end 2709.48096875
transcript.pyannote[298].speaker SPEAKER_02
transcript.pyannote[298].start 2708.31659375
transcript.pyannote[298].end 2711.96159375
transcript.pyannote[299].speaker SPEAKER_10
transcript.pyannote[299].start 2711.96159375
transcript.pyannote[299].end 2715.96096875
transcript.pyannote[300].speaker SPEAKER_02
transcript.pyannote[300].start 2715.30284375
transcript.pyannote[300].end 2716.97346875
transcript.pyannote[301].speaker SPEAKER_22
transcript.pyannote[301].start 2716.97346875
transcript.pyannote[301].end 2717.10846875
transcript.pyannote[302].speaker SPEAKER_02
transcript.pyannote[302].start 2717.10846875
transcript.pyannote[302].end 2717.14221875
transcript.pyannote[303].speaker SPEAKER_05
transcript.pyannote[303].start 2717.14221875
transcript.pyannote[303].end 2757.35534375
transcript.pyannote[304].speaker SPEAKER_10
transcript.pyannote[304].start 2717.17596875
transcript.pyannote[304].end 2718.03659375
transcript.pyannote[305].speaker SPEAKER_10
transcript.pyannote[305].start 2734.32096875
transcript.pyannote[305].end 2735.53596875
transcript.pyannote[306].speaker SPEAKER_10
transcript.pyannote[306].start 2757.77721875
transcript.pyannote[306].end 2791.32471875
transcript.pyannote[307].speaker SPEAKER_10
transcript.pyannote[307].start 2792.79284375
transcript.pyannote[307].end 2795.72909375
transcript.pyannote[308].speaker SPEAKER_10
transcript.pyannote[308].start 2795.77971875
transcript.pyannote[308].end 2796.58971875
transcript.pyannote[309].speaker SPEAKER_10
transcript.pyannote[309].start 2797.18034375
transcript.pyannote[309].end 2801.07846875
transcript.pyannote[310].speaker SPEAKER_10
transcript.pyannote[310].start 2802.02346875
transcript.pyannote[310].end 2803.39034375
transcript.pyannote[311].speaker SPEAKER_10
transcript.pyannote[311].start 2803.91346875
transcript.pyannote[311].end 2805.01034375
transcript.pyannote[312].speaker SPEAKER_10
transcript.pyannote[312].start 2806.19159375
transcript.pyannote[312].end 2806.47846875
transcript.pyannote[313].speaker SPEAKER_10
transcript.pyannote[313].start 2806.71471875
transcript.pyannote[313].end 2807.92971875
transcript.pyannote[314].speaker SPEAKER_10
transcript.pyannote[314].start 2808.40221875
transcript.pyannote[314].end 2808.84096875
transcript.pyannote[315].speaker SPEAKER_10
transcript.pyannote[315].start 2809.22909375
transcript.pyannote[315].end 2809.80284375
transcript.pyannote[316].speaker SPEAKER_10
transcript.pyannote[316].start 2810.35971875
transcript.pyannote[316].end 2811.59159375
transcript.pyannote[317].speaker SPEAKER_10
transcript.pyannote[317].start 2812.30034375
transcript.pyannote[317].end 2825.17596875
transcript.pyannote[318].speaker SPEAKER_10
transcript.pyannote[318].start 2825.73284375
transcript.pyannote[318].end 2826.18846875
transcript.pyannote[319].speaker SPEAKER_10
transcript.pyannote[319].start 2827.01534375
transcript.pyannote[319].end 2828.75346875
transcript.pyannote[320].speaker SPEAKER_10
transcript.pyannote[320].start 2831.38596875
transcript.pyannote[320].end 2837.78159375
transcript.pyannote[321].speaker SPEAKER_05
transcript.pyannote[321].start 2836.80284375
transcript.pyannote[321].end 2856.81659375
transcript.pyannote[322].speaker SPEAKER_05
transcript.pyannote[322].start 2857.10346875
transcript.pyannote[322].end 2860.02284375
transcript.pyannote[323].speaker SPEAKER_05
transcript.pyannote[323].start 2860.07346875
transcript.pyannote[323].end 2867.81909375
transcript.pyannote[324].speaker SPEAKER_10
transcript.pyannote[324].start 2865.70971875
transcript.pyannote[324].end 2873.89409375
transcript.pyannote[325].speaker SPEAKER_05
transcript.pyannote[325].start 2872.42596875
transcript.pyannote[325].end 2877.03284375
transcript.pyannote[326].speaker SPEAKER_10
transcript.pyannote[326].start 2876.03721875
transcript.pyannote[326].end 2885.52096875
transcript.pyannote[327].speaker SPEAKER_10
transcript.pyannote[327].start 2886.36471875
transcript.pyannote[327].end 2890.16159375
transcript.pyannote[328].speaker SPEAKER_10
transcript.pyannote[328].start 2890.33034375
transcript.pyannote[328].end 2910.86721875
transcript.pyannote[329].speaker SPEAKER_02
transcript.pyannote[329].start 2911.87971875
transcript.pyannote[329].end 2921.16096875
transcript.pyannote[330].speaker SPEAKER_02
transcript.pyannote[330].start 2921.54909375
transcript.pyannote[330].end 2923.54034375
transcript.pyannote[331].speaker SPEAKER_02
transcript.pyannote[331].start 2923.96221875
transcript.pyannote[331].end 2927.96159375
transcript.pyannote[332].speaker SPEAKER_02
transcript.pyannote[332].start 2928.51846875
transcript.pyannote[332].end 2930.98221875
transcript.pyannote[333].speaker SPEAKER_02
transcript.pyannote[333].start 2931.47159375
transcript.pyannote[333].end 2937.69846875
transcript.pyannote[334].speaker SPEAKER_10
transcript.pyannote[334].start 2936.12909375
transcript.pyannote[334].end 2936.66909375
transcript.pyannote[335].speaker SPEAKER_10
transcript.pyannote[335].start 2937.20909375
transcript.pyannote[335].end 2955.04596875
transcript.pyannote[336].speaker SPEAKER_10
transcript.pyannote[336].start 2955.40034375
transcript.pyannote[336].end 2971.06034375
transcript.pyannote[337].speaker SPEAKER_10
transcript.pyannote[337].start 2971.36409375
transcript.pyannote[337].end 2984.20596875
transcript.pyannote[338].speaker SPEAKER_28
transcript.pyannote[338].start 2984.91471875
transcript.pyannote[338].end 2988.69471875
transcript.pyannote[339].speaker SPEAKER_08
transcript.pyannote[339].start 3001.62096875
transcript.pyannote[339].end 3003.19034375
transcript.pyannote[340].speaker SPEAKER_28
transcript.pyannote[340].start 3007.89846875
transcript.pyannote[340].end 3011.47596875
transcript.pyannote[341].speaker SPEAKER_28
transcript.pyannote[341].start 3015.67784375
transcript.pyannote[341].end 3016.92659375
transcript.pyannote[342].speaker SPEAKER_28
transcript.pyannote[342].start 3017.02784375
transcript.pyannote[342].end 3082.24971875
transcript.pyannote[343].speaker SPEAKER_29
transcript.pyannote[343].start 3017.46659375
transcript.pyannote[343].end 3018.34409375
transcript.pyannote[344].speaker SPEAKER_28
transcript.pyannote[344].start 3082.31721875
transcript.pyannote[344].end 3101.04846875
transcript.pyannote[345].speaker SPEAKER_28
transcript.pyannote[345].start 3101.31846875
transcript.pyannote[345].end 3139.65846875
transcript.pyannote[346].speaker SPEAKER_02
transcript.pyannote[346].start 3140.36721875
transcript.pyannote[346].end 3141.54846875
transcript.pyannote[347].speaker SPEAKER_02
transcript.pyannote[347].start 3142.02096875
transcript.pyannote[347].end 3144.82221875
transcript.pyannote[348].speaker SPEAKER_02
transcript.pyannote[348].start 3145.48034375
transcript.pyannote[348].end 3150.61034375
transcript.pyannote[349].speaker SPEAKER_02
transcript.pyannote[349].start 3151.40346875
transcript.pyannote[349].end 3155.03159375
transcript.pyannote[350].speaker SPEAKER_02
transcript.pyannote[350].start 3155.43659375
transcript.pyannote[350].end 3161.46096875
transcript.pyannote[351].speaker SPEAKER_02
transcript.pyannote[351].start 3161.81534375
transcript.pyannote[351].end 3162.23721875
transcript.pyannote[352].speaker SPEAKER_02
transcript.pyannote[352].start 3162.47346875
transcript.pyannote[352].end 3168.61596875
transcript.pyannote[353].speaker SPEAKER_02
transcript.pyannote[353].start 3168.91971875
transcript.pyannote[353].end 3172.46346875
transcript.pyannote[354].speaker SPEAKER_02
transcript.pyannote[354].start 3172.64909375
transcript.pyannote[354].end 3200.37471875
transcript.pyannote[355].speaker SPEAKER_02
transcript.pyannote[355].start 3200.72909375
transcript.pyannote[355].end 3205.03221875
transcript.pyannote[356].speaker SPEAKER_02
transcript.pyannote[356].start 3205.06596875
transcript.pyannote[356].end 3206.85471875
transcript.pyannote[357].speaker SPEAKER_02
transcript.pyannote[357].start 3207.34409375
transcript.pyannote[357].end 3212.28846875
transcript.pyannote[358].speaker SPEAKER_28
transcript.pyannote[358].start 3211.20846875
transcript.pyannote[358].end 3221.85659375
transcript.pyannote[359].speaker SPEAKER_28
transcript.pyannote[359].start 3222.41346875
transcript.pyannote[359].end 3226.10909375
transcript.pyannote[360].speaker SPEAKER_28
transcript.pyannote[360].start 3226.49721875
transcript.pyannote[360].end 3234.56346875
transcript.pyannote[361].speaker SPEAKER_28
transcript.pyannote[361].start 3235.67721875
transcript.pyannote[361].end 3241.07721875
transcript.pyannote[362].speaker SPEAKER_02
transcript.pyannote[362].start 3241.07721875
transcript.pyannote[362].end 3241.09409375
transcript.pyannote[363].speaker SPEAKER_02
transcript.pyannote[363].start 3242.74784375
transcript.pyannote[363].end 3244.38471875
transcript.pyannote[364].speaker SPEAKER_02
transcript.pyannote[364].start 3244.75596875
transcript.pyannote[364].end 3250.00409375
transcript.pyannote[365].speaker SPEAKER_02
transcript.pyannote[365].start 3250.40909375
transcript.pyannote[365].end 3255.10034375
transcript.pyannote[366].speaker SPEAKER_02
transcript.pyannote[366].start 3255.25221875
transcript.pyannote[366].end 3255.82596875
transcript.pyannote[367].speaker SPEAKER_02
transcript.pyannote[367].start 3256.93971875
transcript.pyannote[367].end 3265.03971875
transcript.pyannote[368].speaker SPEAKER_02
transcript.pyannote[368].start 3265.27596875
transcript.pyannote[368].end 3273.29159375
transcript.pyannote[369].speaker SPEAKER_02
transcript.pyannote[369].start 3273.49409375
transcript.pyannote[369].end 3282.16784375
transcript.pyannote[370].speaker SPEAKER_28
transcript.pyannote[370].start 3281.30721875
transcript.pyannote[370].end 3282.15096875
transcript.pyannote[371].speaker SPEAKER_28
transcript.pyannote[371].start 3282.16784375
transcript.pyannote[371].end 3282.25221875
transcript.pyannote[372].speaker SPEAKER_28
transcript.pyannote[372].start 3282.43784375
transcript.pyannote[372].end 3288.02346875
transcript.pyannote[373].speaker SPEAKER_02
transcript.pyannote[373].start 3283.02846875
transcript.pyannote[373].end 3283.21409375
transcript.pyannote[374].speaker SPEAKER_02
transcript.pyannote[374].start 3285.39096875
transcript.pyannote[374].end 3287.29784375
transcript.pyannote[375].speaker SPEAKER_02
transcript.pyannote[375].start 3288.02346875
transcript.pyannote[375].end 3288.96846875
transcript.pyannote[376].speaker SPEAKER_28
transcript.pyannote[376].start 3288.96846875
transcript.pyannote[376].end 3289.81221875
transcript.pyannote[377].speaker SPEAKER_02
transcript.pyannote[377].start 3289.81221875
transcript.pyannote[377].end 3291.70221875
transcript.pyannote[378].speaker SPEAKER_28
transcript.pyannote[378].start 3289.82909375
transcript.pyannote[378].end 3290.30159375
transcript.pyannote[379].speaker SPEAKER_02
transcript.pyannote[379].start 3291.93846875
transcript.pyannote[379].end 3292.39409375
transcript.pyannote[380].speaker SPEAKER_02
transcript.pyannote[380].start 3293.03534375
transcript.pyannote[380].end 3303.44721875
transcript.pyannote[381].speaker SPEAKER_28
transcript.pyannote[381].start 3301.74284375
transcript.pyannote[381].end 3343.76159375
transcript.pyannote[382].speaker SPEAKER_28
transcript.pyannote[382].start 3343.93034375
transcript.pyannote[382].end 3345.31409375
transcript.pyannote[383].speaker SPEAKER_28
transcript.pyannote[383].start 3345.58409375
transcript.pyannote[383].end 3356.24909375
transcript.pyannote[384].speaker SPEAKER_02
transcript.pyannote[384].start 3358.03784375
transcript.pyannote[384].end 3372.61784375
transcript.pyannote[385].speaker SPEAKER_02
transcript.pyannote[385].start 3372.98909375
transcript.pyannote[385].end 3374.23784375
transcript.pyannote[386].speaker SPEAKER_02
transcript.pyannote[386].start 3374.87909375
transcript.pyannote[386].end 3380.71784375
transcript.pyannote[387].speaker SPEAKER_02
transcript.pyannote[387].start 3381.66284375
transcript.pyannote[387].end 3408.20721875
transcript.pyannote[388].speaker SPEAKER_02
transcript.pyannote[388].start 3408.93284375
transcript.pyannote[388].end 3429.82409375
transcript.pyannote[389].speaker SPEAKER_02
transcript.pyannote[389].start 3429.90846875
transcript.pyannote[389].end 3437.36721875
transcript.pyannote[390].speaker SPEAKER_28
transcript.pyannote[390].start 3437.77221875
transcript.pyannote[390].end 3457.53284375
transcript.pyannote[391].speaker SPEAKER_28
transcript.pyannote[391].start 3458.08971875
transcript.pyannote[391].end 3540.15284375
transcript.pyannote[392].speaker SPEAKER_28
transcript.pyannote[392].start 3540.87846875
transcript.pyannote[392].end 3559.93034375
transcript.pyannote[393].speaker SPEAKER_28
transcript.pyannote[393].start 3560.84159375
transcript.pyannote[393].end 3569.26221875
transcript.pyannote[394].speaker SPEAKER_28
transcript.pyannote[394].start 3569.39721875
transcript.pyannote[394].end 3577.71659375
transcript.pyannote[395].speaker SPEAKER_28
transcript.pyannote[395].start 3578.71221875
transcript.pyannote[395].end 3582.20534375
transcript.pyannote[396].speaker SPEAKER_02
transcript.pyannote[396].start 3582.64409375
transcript.pyannote[396].end 3599.11409375
transcript.pyannote[397].speaker SPEAKER_28
transcript.pyannote[397].start 3593.32596875
transcript.pyannote[397].end 3593.69721875
transcript.pyannote[398].speaker SPEAKER_02
transcript.pyannote[398].start 3599.65409375
transcript.pyannote[398].end 3600.07596875
transcript.pyannote[399].speaker SPEAKER_02
transcript.pyannote[399].start 3600.68346875
transcript.pyannote[399].end 3610.74096875
transcript.pyannote[400].speaker SPEAKER_02
transcript.pyannote[400].start 3611.51721875
transcript.pyannote[400].end 3615.85409375
transcript.pyannote[401].speaker SPEAKER_02
transcript.pyannote[401].start 3616.44471875
transcript.pyannote[401].end 3618.75659375
transcript.pyannote[402].speaker SPEAKER_02
transcript.pyannote[402].start 3619.22909375
transcript.pyannote[402].end 3627.27846875
transcript.pyannote[403].speaker SPEAKER_02
transcript.pyannote[403].start 3627.85221875
transcript.pyannote[403].end 3629.53971875
transcript.pyannote[404].speaker SPEAKER_02
transcript.pyannote[404].start 3629.70846875
transcript.pyannote[404].end 3631.07534375
transcript.pyannote[405].speaker SPEAKER_02
transcript.pyannote[405].start 3631.21034375
transcript.pyannote[405].end 3638.73659375
transcript.pyannote[406].speaker SPEAKER_02
transcript.pyannote[406].start 3639.78284375
transcript.pyannote[406].end 3644.98034375
transcript.pyannote[407].speaker SPEAKER_02
transcript.pyannote[407].start 3645.77346875
transcript.pyannote[407].end 3656.60721875
transcript.pyannote[408].speaker SPEAKER_28
transcript.pyannote[408].start 3656.72534375
transcript.pyannote[408].end 3660.28596875
transcript.pyannote[409].speaker SPEAKER_08
transcript.pyannote[409].start 3662.02409375
transcript.pyannote[409].end 3662.73284375
transcript.pyannote[410].speaker SPEAKER_28
transcript.pyannote[410].start 3669.92159375
transcript.pyannote[410].end 3673.78596875
transcript.pyannote[411].speaker SPEAKER_08
transcript.pyannote[411].start 3679.00034375
transcript.pyannote[411].end 3681.07596875
transcript.pyannote[412].speaker SPEAKER_28
transcript.pyannote[412].start 3681.07596875
transcript.pyannote[412].end 3682.00409375
transcript.pyannote[413].speaker SPEAKER_02
transcript.pyannote[413].start 3688.04534375
transcript.pyannote[413].end 3688.50096875
transcript.pyannote[414].speaker SPEAKER_08
transcript.pyannote[414].start 3688.28159375
transcript.pyannote[414].end 3691.90971875
transcript.pyannote[415].speaker SPEAKER_08
transcript.pyannote[415].start 3692.70284375
transcript.pyannote[415].end 3696.92159375
transcript.pyannote[416].speaker SPEAKER_08
transcript.pyannote[416].start 3697.41096875
transcript.pyannote[416].end 3698.52471875
transcript.pyannote[417].speaker SPEAKER_08
transcript.pyannote[417].start 3700.11096875
transcript.pyannote[417].end 3705.24096875
transcript.pyannote[418].speaker SPEAKER_08
transcript.pyannote[418].start 3705.76409375
transcript.pyannote[418].end 3706.81034375
transcript.pyannote[419].speaker SPEAKER_08
transcript.pyannote[419].start 3707.33346875
transcript.pyannote[419].end 3708.44721875
transcript.pyannote[420].speaker SPEAKER_08
transcript.pyannote[420].start 3708.97034375
transcript.pyannote[420].end 3714.47159375
transcript.pyannote[421].speaker SPEAKER_08
transcript.pyannote[421].start 3715.24784375
transcript.pyannote[421].end 3716.10846875
transcript.pyannote[422].speaker SPEAKER_08
transcript.pyannote[422].start 3716.53034375
transcript.pyannote[422].end 3718.74096875
transcript.pyannote[423].speaker SPEAKER_08
transcript.pyannote[423].start 3719.12909375
transcript.pyannote[423].end 3720.07409375
transcript.pyannote[424].speaker SPEAKER_08
transcript.pyannote[424].start 3720.93471875
transcript.pyannote[424].end 3724.86659375
transcript.pyannote[425].speaker SPEAKER_08
transcript.pyannote[425].start 3725.27159375
transcript.pyannote[425].end 3726.68909375
transcript.pyannote[426].speaker SPEAKER_08
transcript.pyannote[426].start 3727.12784375
transcript.pyannote[426].end 3728.57909375
transcript.pyannote[427].speaker SPEAKER_08
transcript.pyannote[427].start 3729.16971875
transcript.pyannote[427].end 3730.08096875
transcript.pyannote[428].speaker SPEAKER_08
transcript.pyannote[428].start 3730.70534375
transcript.pyannote[428].end 3734.14784375
transcript.pyannote[429].speaker SPEAKER_08
transcript.pyannote[429].start 3734.45159375
transcript.pyannote[429].end 3737.28659375
transcript.pyannote[430].speaker SPEAKER_08
transcript.pyannote[430].start 3737.38784375
transcript.pyannote[430].end 3738.04596875
transcript.pyannote[431].speaker SPEAKER_08
transcript.pyannote[431].start 3738.29909375
transcript.pyannote[431].end 3741.58971875
transcript.pyannote[432].speaker SPEAKER_08
transcript.pyannote[432].start 3742.28159375
transcript.pyannote[432].end 3745.69034375
transcript.pyannote[433].speaker SPEAKER_08
transcript.pyannote[433].start 3746.11221875
transcript.pyannote[433].end 3749.36909375
transcript.pyannote[434].speaker SPEAKER_08
transcript.pyannote[434].start 3749.77409375
transcript.pyannote[434].end 3751.90034375
transcript.pyannote[435].speaker SPEAKER_08
transcript.pyannote[435].start 3752.20409375
transcript.pyannote[435].end 3756.62534375
transcript.pyannote[436].speaker SPEAKER_08
transcript.pyannote[436].start 3756.86159375
transcript.pyannote[436].end 3758.31284375
transcript.pyannote[437].speaker SPEAKER_08
transcript.pyannote[437].start 3758.49846875
transcript.pyannote[437].end 3758.93721875
transcript.pyannote[438].speaker SPEAKER_08
transcript.pyannote[438].start 3759.49409375
transcript.pyannote[438].end 3762.59909375
transcript.pyannote[439].speaker SPEAKER_08
transcript.pyannote[439].start 3763.22346875
transcript.pyannote[439].end 3765.46784375
transcript.pyannote[440].speaker SPEAKER_08
transcript.pyannote[440].start 3766.00784375
transcript.pyannote[440].end 3770.83409375
transcript.pyannote[441].speaker SPEAKER_08
transcript.pyannote[441].start 3772.47096875
transcript.pyannote[441].end 3782.56221875
transcript.pyannote[442].speaker SPEAKER_08
transcript.pyannote[442].start 3782.96721875
transcript.pyannote[442].end 3787.00034375
transcript.pyannote[443].speaker SPEAKER_08
transcript.pyannote[443].start 3787.30409375
transcript.pyannote[443].end 3788.19846875
transcript.pyannote[444].speaker SPEAKER_08
transcript.pyannote[444].start 3788.65409375
transcript.pyannote[444].end 3789.04221875
transcript.pyannote[445].speaker SPEAKER_08
transcript.pyannote[445].start 3789.17721875
transcript.pyannote[445].end 3790.54409375
transcript.pyannote[446].speaker SPEAKER_08
transcript.pyannote[446].start 3791.03346875
transcript.pyannote[446].end 3793.15971875
transcript.pyannote[447].speaker SPEAKER_08
transcript.pyannote[447].start 3793.24409375
transcript.pyannote[447].end 3798.62721875
transcript.pyannote[448].speaker SPEAKER_08
transcript.pyannote[448].start 3799.01534375
transcript.pyannote[448].end 3800.41596875
transcript.pyannote[449].speaker SPEAKER_08
transcript.pyannote[449].start 3800.55096875
transcript.pyannote[449].end 3802.32284375
transcript.pyannote[450].speaker SPEAKER_08
transcript.pyannote[450].start 3802.62659375
transcript.pyannote[450].end 3804.38159375
transcript.pyannote[451].speaker SPEAKER_02
transcript.pyannote[451].start 3806.01846875
transcript.pyannote[451].end 3811.78971875
transcript.pyannote[452].speaker SPEAKER_02
transcript.pyannote[452].start 3812.27909375
transcript.pyannote[452].end 3813.49409375
transcript.pyannote[453].speaker SPEAKER_02
transcript.pyannote[453].start 3814.03409375
transcript.pyannote[453].end 3818.70846875
transcript.pyannote[454].speaker SPEAKER_02
transcript.pyannote[454].start 3819.09659375
transcript.pyannote[454].end 3823.63596875
transcript.pyannote[455].speaker SPEAKER_02
transcript.pyannote[455].start 3824.05784375
transcript.pyannote[455].end 3826.08284375
transcript.pyannote[456].speaker SPEAKER_00
transcript.pyannote[456].start 3825.32346875
transcript.pyannote[456].end 3825.69471875
transcript.pyannote[457].speaker SPEAKER_02
transcript.pyannote[457].start 3826.45409375
transcript.pyannote[457].end 3830.68971875
transcript.pyannote[458].speaker SPEAKER_02
transcript.pyannote[458].start 3830.99346875
transcript.pyannote[458].end 3834.62159375
transcript.pyannote[459].speaker SPEAKER_02
transcript.pyannote[459].start 3835.29659375
transcript.pyannote[459].end 3835.75221875
transcript.pyannote[460].speaker SPEAKER_02
transcript.pyannote[460].start 3836.44409375
transcript.pyannote[460].end 3843.22784375
transcript.pyannote[461].speaker SPEAKER_02
transcript.pyannote[461].start 3843.54846875
transcript.pyannote[461].end 3845.57346875
transcript.pyannote[462].speaker SPEAKER_08
transcript.pyannote[462].start 3845.77596875
transcript.pyannote[462].end 3849.18471875
transcript.pyannote[463].speaker SPEAKER_08
transcript.pyannote[463].start 3849.57284375
transcript.pyannote[463].end 3850.16346875
transcript.pyannote[464].speaker SPEAKER_08
transcript.pyannote[464].start 3850.50096875
transcript.pyannote[464].end 3854.56784375
transcript.pyannote[465].speaker SPEAKER_08
transcript.pyannote[465].start 3854.90534375
transcript.pyannote[465].end 3856.05284375
transcript.pyannote[466].speaker SPEAKER_08
transcript.pyannote[466].start 3857.08221875
transcript.pyannote[466].end 3868.21971875
transcript.pyannote[467].speaker SPEAKER_02
transcript.pyannote[467].start 3867.62909375
transcript.pyannote[467].end 3874.07534375
transcript.pyannote[468].speaker SPEAKER_08
transcript.pyannote[468].start 3871.05471875
transcript.pyannote[468].end 3879.03659375
transcript.pyannote[469].speaker SPEAKER_08
transcript.pyannote[469].start 3879.30659375
transcript.pyannote[469].end 3883.66034375
transcript.pyannote[470].speaker SPEAKER_02
transcript.pyannote[470].start 3884.21721875
transcript.pyannote[470].end 3887.33909375
transcript.pyannote[471].speaker SPEAKER_08
transcript.pyannote[471].start 3887.33909375
transcript.pyannote[471].end 3897.07596875
transcript.pyannote[472].speaker SPEAKER_08
transcript.pyannote[472].start 3897.66659375
transcript.pyannote[472].end 3901.36221875
transcript.pyannote[473].speaker SPEAKER_02
transcript.pyannote[473].start 3900.99096875
transcript.pyannote[473].end 3915.48659375
transcript.pyannote[474].speaker SPEAKER_08
transcript.pyannote[474].start 3907.28534375
transcript.pyannote[474].end 3908.26409375
transcript.pyannote[475].speaker SPEAKER_08
transcript.pyannote[475].start 3908.90534375
transcript.pyannote[475].end 3909.59721875
transcript.pyannote[476].speaker SPEAKER_08
transcript.pyannote[476].start 3913.47846875
transcript.pyannote[476].end 3915.04784375
transcript.pyannote[477].speaker SPEAKER_08
transcript.pyannote[477].start 3915.48659375
transcript.pyannote[477].end 3920.39721875
transcript.pyannote[478].speaker SPEAKER_08
transcript.pyannote[478].start 3920.65034375
transcript.pyannote[478].end 3937.69409375
transcript.pyannote[479].speaker SPEAKER_08
transcript.pyannote[479].start 3937.93034375
transcript.pyannote[479].end 3939.48284375
transcript.pyannote[480].speaker SPEAKER_08
transcript.pyannote[480].start 3939.68534375
transcript.pyannote[480].end 3941.25471875
transcript.pyannote[481].speaker SPEAKER_08
transcript.pyannote[481].start 3941.59221875
transcript.pyannote[481].end 3943.22909375
transcript.pyannote[482].speaker SPEAKER_08
transcript.pyannote[482].start 3943.93784375
transcript.pyannote[482].end 3944.20784375
transcript.pyannote[483].speaker SPEAKER_08
transcript.pyannote[483].start 3944.71409375
transcript.pyannote[483].end 3948.34221875
transcript.pyannote[484].speaker SPEAKER_08
transcript.pyannote[484].start 3949.05096875
transcript.pyannote[484].end 3950.51909375
transcript.pyannote[485].speaker SPEAKER_08
transcript.pyannote[485].start 3951.53159375
transcript.pyannote[485].end 3955.81784375
transcript.pyannote[486].speaker SPEAKER_08
transcript.pyannote[486].start 3956.45909375
transcript.pyannote[486].end 3965.63909375
transcript.pyannote[487].speaker SPEAKER_08
transcript.pyannote[487].start 3966.12846875
transcript.pyannote[487].end 3968.06909375
transcript.pyannote[488].speaker SPEAKER_08
transcript.pyannote[488].start 3968.71034375
transcript.pyannote[488].end 3972.35534375
transcript.pyannote[489].speaker SPEAKER_08
transcript.pyannote[489].start 3972.81096875
transcript.pyannote[489].end 3973.73909375
transcript.pyannote[490].speaker SPEAKER_08
transcript.pyannote[490].start 3973.89096875
transcript.pyannote[490].end 3979.74659375
transcript.pyannote[491].speaker SPEAKER_08
transcript.pyannote[491].start 3980.23596875
transcript.pyannote[491].end 3984.13409375
transcript.pyannote[492].speaker SPEAKER_08
transcript.pyannote[492].start 3984.92721875
transcript.pyannote[492].end 3988.25159375
transcript.pyannote[493].speaker SPEAKER_08
transcript.pyannote[493].start 3988.74096875
transcript.pyannote[493].end 4003.99596875
transcript.pyannote[494].speaker SPEAKER_08
transcript.pyannote[494].start 4004.31659375
transcript.pyannote[494].end 4005.39659375
transcript.pyannote[495].speaker SPEAKER_08
transcript.pyannote[495].start 4005.64971875
transcript.pyannote[495].end 4005.71721875
transcript.pyannote[496].speaker SPEAKER_08
transcript.pyannote[496].start 4005.88596875
transcript.pyannote[496].end 4009.58159375
transcript.pyannote[497].speaker SPEAKER_08
transcript.pyannote[497].start 4010.17221875
transcript.pyannote[497].end 4012.39971875
transcript.pyannote[498].speaker SPEAKER_08
transcript.pyannote[498].start 4014.00284375
transcript.pyannote[498].end 4017.31034375
transcript.pyannote[499].speaker SPEAKER_08
transcript.pyannote[499].start 4017.64784375
transcript.pyannote[499].end 4031.09721875
transcript.pyannote[500].speaker SPEAKER_08
transcript.pyannote[500].start 4031.48534375
transcript.pyannote[500].end 4033.42596875
transcript.pyannote[501].speaker SPEAKER_08
transcript.pyannote[501].start 4033.51034375
transcript.pyannote[501].end 4034.62409375
transcript.pyannote[502].speaker SPEAKER_08
transcript.pyannote[502].start 4035.01221875
transcript.pyannote[502].end 4036.83471875
transcript.pyannote[503].speaker SPEAKER_08
transcript.pyannote[503].start 4037.25659375
transcript.pyannote[503].end 4038.84284375
transcript.pyannote[504].speaker SPEAKER_08
transcript.pyannote[504].start 4039.33221875
transcript.pyannote[504].end 4039.83846875
transcript.pyannote[505].speaker SPEAKER_08
transcript.pyannote[505].start 4040.04096875
transcript.pyannote[505].end 4041.86346875
transcript.pyannote[506].speaker SPEAKER_08
transcript.pyannote[506].start 4042.69034375
transcript.pyannote[506].end 4044.15846875
transcript.pyannote[507].speaker SPEAKER_08
transcript.pyannote[507].start 4044.61409375
transcript.pyannote[507].end 4047.53346875
transcript.pyannote[508].speaker SPEAKER_08
transcript.pyannote[508].start 4048.14096875
transcript.pyannote[508].end 4052.81534375
transcript.pyannote[509].speaker SPEAKER_08
transcript.pyannote[509].start 4053.33846875
transcript.pyannote[509].end 4060.42596875
transcript.pyannote[510].speaker SPEAKER_08
transcript.pyannote[510].start 4060.86471875
transcript.pyannote[510].end 4062.77159375
transcript.pyannote[511].speaker SPEAKER_08
transcript.pyannote[511].start 4063.49721875
transcript.pyannote[511].end 4067.81721875
transcript.pyannote[512].speaker SPEAKER_08
transcript.pyannote[512].start 4068.82971875
transcript.pyannote[512].end 4069.40346875
transcript.pyannote[513].speaker SPEAKER_08
transcript.pyannote[513].start 4070.60159375
transcript.pyannote[513].end 4077.35159375
transcript.pyannote[514].speaker SPEAKER_08
transcript.pyannote[514].start 4077.92534375
transcript.pyannote[514].end 4079.39346875
transcript.pyannote[515].speaker SPEAKER_08
transcript.pyannote[515].start 4079.78159375
transcript.pyannote[515].end 4081.80659375
transcript.pyannote[516].speaker SPEAKER_02
transcript.pyannote[516].start 4082.90346875
transcript.pyannote[516].end 4086.78471875
transcript.pyannote[517].speaker SPEAKER_02
transcript.pyannote[517].start 4087.57784375
transcript.pyannote[517].end 4090.71659375
transcript.pyannote[518].speaker SPEAKER_02
transcript.pyannote[518].start 4090.90221875
transcript.pyannote[518].end 4098.36096875
transcript.pyannote[519].speaker SPEAKER_02
transcript.pyannote[519].start 4098.96846875
transcript.pyannote[519].end 4101.36471875
transcript.pyannote[520].speaker SPEAKER_02
transcript.pyannote[520].start 4102.00596875
transcript.pyannote[520].end 4103.62596875
transcript.pyannote[521].speaker SPEAKER_02
transcript.pyannote[521].start 4104.09846875
transcript.pyannote[521].end 4107.77721875
transcript.pyannote[522].speaker SPEAKER_02
transcript.pyannote[522].start 4108.14846875
transcript.pyannote[522].end 4115.48909375
transcript.pyannote[523].speaker SPEAKER_02
transcript.pyannote[523].start 4116.23159375
transcript.pyannote[523].end 4116.87284375
transcript.pyannote[524].speaker SPEAKER_02
transcript.pyannote[524].start 4117.29471875
transcript.pyannote[524].end 4117.95284375
transcript.pyannote[525].speaker SPEAKER_02
transcript.pyannote[525].start 4118.39159375
transcript.pyannote[525].end 4119.31971875
transcript.pyannote[526].speaker SPEAKER_02
transcript.pyannote[526].start 4119.75846875
transcript.pyannote[526].end 4123.42034375
transcript.pyannote[527].speaker SPEAKER_02
transcript.pyannote[527].start 4123.94346875
transcript.pyannote[527].end 4125.95159375
transcript.pyannote[528].speaker SPEAKER_02
transcript.pyannote[528].start 4126.20471875
transcript.pyannote[528].end 4127.20034375
transcript.pyannote[529].speaker SPEAKER_02
transcript.pyannote[529].start 4127.72346875
transcript.pyannote[529].end 4128.61784375
transcript.pyannote[530].speaker SPEAKER_02
transcript.pyannote[530].start 4129.02284375
transcript.pyannote[530].end 4130.38971875
transcript.pyannote[531].speaker SPEAKER_02
transcript.pyannote[531].start 4130.59221875
transcript.pyannote[531].end 4131.52034375
transcript.pyannote[532].speaker SPEAKER_02
transcript.pyannote[532].start 4132.02659375
transcript.pyannote[532].end 4133.49471875
transcript.pyannote[533].speaker SPEAKER_02
transcript.pyannote[533].start 4134.05159375
transcript.pyannote[533].end 4135.11471875
transcript.pyannote[534].speaker SPEAKER_02
transcript.pyannote[534].start 4135.48596875
transcript.pyannote[534].end 4138.59096875
transcript.pyannote[535].speaker SPEAKER_02
transcript.pyannote[535].start 4138.89471875
transcript.pyannote[535].end 4139.73846875
transcript.pyannote[536].speaker SPEAKER_02
transcript.pyannote[536].start 4140.07596875
transcript.pyannote[536].end 4142.35409375
transcript.pyannote[537].speaker SPEAKER_02
transcript.pyannote[537].start 4143.11346875
transcript.pyannote[537].end 4147.73721875
transcript.pyannote[538].speaker SPEAKER_22
transcript.pyannote[538].start 4147.73721875
transcript.pyannote[538].end 4148.04096875
transcript.pyannote[539].speaker SPEAKER_02
transcript.pyannote[539].start 4148.04096875
transcript.pyannote[539].end 4155.82034375
transcript.pyannote[540].speaker SPEAKER_08
transcript.pyannote[540].start 4156.09034375
transcript.pyannote[540].end 4163.36346875
transcript.pyannote[541].speaker SPEAKER_08
transcript.pyannote[541].start 4163.90346875
transcript.pyannote[541].end 4164.27471875
transcript.pyannote[542].speaker SPEAKER_08
transcript.pyannote[542].start 4164.56159375
transcript.pyannote[542].end 4167.46409375
transcript.pyannote[543].speaker SPEAKER_08
transcript.pyannote[543].start 4167.93659375
transcript.pyannote[543].end 4170.82221875
transcript.pyannote[544].speaker SPEAKER_08
transcript.pyannote[544].start 4171.48034375
transcript.pyannote[544].end 4174.50096875
transcript.pyannote[545].speaker SPEAKER_08
transcript.pyannote[545].start 4174.88909375
transcript.pyannote[545].end 4176.12096875
transcript.pyannote[546].speaker SPEAKER_08
transcript.pyannote[546].start 4176.59346875
transcript.pyannote[546].end 4180.37346875
transcript.pyannote[547].speaker SPEAKER_08
transcript.pyannote[547].start 4180.77846875
transcript.pyannote[547].end 4181.79096875
transcript.pyannote[548].speaker SPEAKER_08
transcript.pyannote[548].start 4181.87534375
transcript.pyannote[548].end 4185.79034375
transcript.pyannote[549].speaker SPEAKER_08
transcript.pyannote[549].start 4185.97596875
transcript.pyannote[549].end 4187.51159375
transcript.pyannote[550].speaker SPEAKER_08
transcript.pyannote[550].start 4187.76471875
transcript.pyannote[550].end 4197.67034375
transcript.pyannote[551].speaker SPEAKER_08
transcript.pyannote[551].start 4198.02471875
transcript.pyannote[551].end 4200.64034375
transcript.pyannote[552].speaker SPEAKER_08
transcript.pyannote[552].start 4201.23096875
transcript.pyannote[552].end 4215.84471875
transcript.pyannote[553].speaker SPEAKER_08
transcript.pyannote[553].start 4216.36784375
transcript.pyannote[553].end 4221.59909375
transcript.pyannote[554].speaker SPEAKER_08
transcript.pyannote[554].start 4221.78471875
transcript.pyannote[554].end 4224.94034375
transcript.pyannote[555].speaker SPEAKER_08
transcript.pyannote[555].start 4225.46346875
transcript.pyannote[555].end 4228.16346875
transcript.pyannote[556].speaker SPEAKER_08
transcript.pyannote[556].start 4228.82159375
transcript.pyannote[556].end 4229.14221875
transcript.pyannote[557].speaker SPEAKER_08
transcript.pyannote[557].start 4230.27284375
transcript.pyannote[557].end 4231.99409375
transcript.pyannote[558].speaker SPEAKER_08
transcript.pyannote[558].start 4232.04471875
transcript.pyannote[558].end 4239.31784375
transcript.pyannote[559].speaker SPEAKER_08
transcript.pyannote[559].start 4239.75659375
transcript.pyannote[559].end 4245.30846875
transcript.pyannote[560].speaker SPEAKER_08
transcript.pyannote[560].start 4245.61221875
transcript.pyannote[560].end 4246.32096875
transcript.pyannote[561].speaker SPEAKER_08
transcript.pyannote[561].start 4246.72596875
transcript.pyannote[561].end 4252.00784375
transcript.pyannote[562].speaker SPEAKER_08
transcript.pyannote[562].start 4252.95284375
transcript.pyannote[562].end 4258.92659375
transcript.pyannote[563].speaker SPEAKER_02
transcript.pyannote[563].start 4259.58471875
transcript.pyannote[563].end 4265.17034375
transcript.pyannote[564].speaker SPEAKER_02
transcript.pyannote[564].start 4265.30534375
transcript.pyannote[564].end 4272.46034375
transcript.pyannote[565].speaker SPEAKER_02
transcript.pyannote[565].start 4272.67971875
transcript.pyannote[565].end 4276.94909375
transcript.pyannote[566].speaker SPEAKER_02
transcript.pyannote[566].start 4277.26971875
transcript.pyannote[566].end 4280.76284375
transcript.pyannote[567].speaker SPEAKER_08
transcript.pyannote[567].start 4279.44659375
transcript.pyannote[567].end 4279.69971875
transcript.pyannote[568].speaker SPEAKER_08
transcript.pyannote[568].start 4280.69534375
transcript.pyannote[568].end 4283.53034375
transcript.pyannote[569].speaker SPEAKER_08
transcript.pyannote[569].start 4283.78346875
transcript.pyannote[569].end 4298.97096875
transcript.pyannote[570].speaker SPEAKER_08
transcript.pyannote[570].start 4299.35909375
transcript.pyannote[570].end 4307.30721875
transcript.pyannote[571].speaker SPEAKER_08
transcript.pyannote[571].start 4307.59409375
transcript.pyannote[571].end 4313.12909375
transcript.pyannote[572].speaker SPEAKER_02
transcript.pyannote[572].start 4314.25971875
transcript.pyannote[572].end 4317.39846875
transcript.pyannote[573].speaker SPEAKER_02
transcript.pyannote[573].start 4317.63471875
transcript.pyannote[573].end 4321.87034375
transcript.pyannote[574].speaker SPEAKER_02
transcript.pyannote[574].start 4322.39346875
transcript.pyannote[574].end 4329.43034375
transcript.pyannote[575].speaker SPEAKER_08
transcript.pyannote[575].start 4326.73034375
transcript.pyannote[575].end 4327.27034375
transcript.pyannote[576].speaker SPEAKER_08
transcript.pyannote[576].start 4329.07596875
transcript.pyannote[576].end 4337.02409375
transcript.pyannote[577].speaker SPEAKER_08
transcript.pyannote[577].start 4337.46284375
transcript.pyannote[577].end 4341.20909375
transcript.pyannote[578].speaker SPEAKER_28
transcript.pyannote[578].start 4341.41159375
transcript.pyannote[578].end 4347.87471875
transcript.pyannote[579].speaker SPEAKER_24
transcript.pyannote[579].start 4357.34159375
transcript.pyannote[579].end 4358.42159375
transcript.pyannote[580].speaker SPEAKER_24
transcript.pyannote[580].start 4358.87721875
transcript.pyannote[580].end 4361.03721875
transcript.pyannote[581].speaker SPEAKER_24
transcript.pyannote[581].start 4361.05409375
transcript.pyannote[581].end 4363.38284375
transcript.pyannote[582].speaker SPEAKER_24
transcript.pyannote[582].start 4369.67721875
transcript.pyannote[582].end 4372.07346875
transcript.pyannote[583].speaker SPEAKER_24
transcript.pyannote[583].start 4372.25909375
transcript.pyannote[583].end 4373.64284375
transcript.pyannote[584].speaker SPEAKER_24
transcript.pyannote[584].start 4374.73971875
transcript.pyannote[584].end 4378.11471875
transcript.pyannote[585].speaker SPEAKER_24
transcript.pyannote[585].start 4378.43534375
transcript.pyannote[585].end 4380.05534375
transcript.pyannote[586].speaker SPEAKER_24
transcript.pyannote[586].start 4380.76409375
transcript.pyannote[586].end 4383.54846875
transcript.pyannote[587].speaker SPEAKER_24
transcript.pyannote[587].start 4384.44284375
transcript.pyannote[587].end 4389.40409375
transcript.pyannote[588].speaker SPEAKER_24
transcript.pyannote[588].start 4390.38284375
transcript.pyannote[588].end 4391.76659375
transcript.pyannote[589].speaker SPEAKER_24
transcript.pyannote[589].start 4392.05346875
transcript.pyannote[589].end 4394.14596875
transcript.pyannote[590].speaker SPEAKER_24
transcript.pyannote[590].start 4395.17534375
transcript.pyannote[590].end 4399.76534375
transcript.pyannote[591].speaker SPEAKER_24
transcript.pyannote[591].start 4400.74409375
transcript.pyannote[591].end 4401.50346875
transcript.pyannote[592].speaker SPEAKER_24
transcript.pyannote[592].start 4401.75659375
transcript.pyannote[592].end 4403.17409375
transcript.pyannote[593].speaker SPEAKER_24
transcript.pyannote[593].start 4403.88284375
transcript.pyannote[593].end 4405.31721875
transcript.pyannote[594].speaker SPEAKER_24
transcript.pyannote[594].start 4406.29596875
transcript.pyannote[594].end 4410.10971875
transcript.pyannote[595].speaker SPEAKER_24
transcript.pyannote[595].start 4410.86909375
transcript.pyannote[595].end 4411.86471875
transcript.pyannote[596].speaker SPEAKER_24
transcript.pyannote[596].start 4412.52284375
transcript.pyannote[596].end 4414.53096875
transcript.pyannote[597].speaker SPEAKER_24
transcript.pyannote[597].start 4415.10471875
transcript.pyannote[597].end 4415.66159375
transcript.pyannote[598].speaker SPEAKER_24
transcript.pyannote[598].start 4416.21846875
transcript.pyannote[598].end 4417.31534375
transcript.pyannote[599].speaker SPEAKER_24
transcript.pyannote[599].start 4417.58534375
transcript.pyannote[599].end 4419.50909375
transcript.pyannote[600].speaker SPEAKER_24
transcript.pyannote[600].start 4420.62284375
transcript.pyannote[600].end 4424.33534375
transcript.pyannote[601].speaker SPEAKER_24
transcript.pyannote[601].start 4424.85846875
transcript.pyannote[601].end 4426.02284375
transcript.pyannote[602].speaker SPEAKER_24
transcript.pyannote[602].start 4427.32221875
transcript.pyannote[602].end 4435.15221875
transcript.pyannote[603].speaker SPEAKER_24
transcript.pyannote[603].start 4435.69221875
transcript.pyannote[603].end 4436.67096875
transcript.pyannote[604].speaker SPEAKER_24
transcript.pyannote[604].start 4436.95784375
transcript.pyannote[604].end 4438.83096875
transcript.pyannote[605].speaker SPEAKER_24
transcript.pyannote[605].start 4439.52284375
transcript.pyannote[605].end 4440.80534375
transcript.pyannote[606].speaker SPEAKER_24
transcript.pyannote[606].start 4441.19346875
transcript.pyannote[606].end 4444.50096875
transcript.pyannote[607].speaker SPEAKER_24
transcript.pyannote[607].start 4445.58096875
transcript.pyannote[607].end 4447.01534375
transcript.pyannote[608].speaker SPEAKER_24
transcript.pyannote[608].start 4447.47096875
transcript.pyannote[608].end 4449.73221875
transcript.pyannote[609].speaker SPEAKER_24
transcript.pyannote[609].start 4450.30596875
transcript.pyannote[609].end 4450.67721875
transcript.pyannote[610].speaker SPEAKER_24
transcript.pyannote[610].start 4450.91346875
transcript.pyannote[610].end 4452.17909375
transcript.pyannote[611].speaker SPEAKER_24
transcript.pyannote[611].start 4452.73596875
transcript.pyannote[611].end 4454.42346875
transcript.pyannote[612].speaker SPEAKER_24
transcript.pyannote[612].start 4455.18284375
transcript.pyannote[612].end 4457.74784375
transcript.pyannote[613].speaker SPEAKER_24
transcript.pyannote[613].start 4458.47346875
transcript.pyannote[613].end 4460.07659375
transcript.pyannote[614].speaker SPEAKER_24
transcript.pyannote[614].start 4460.27909375
transcript.pyannote[614].end 4461.27471875
transcript.pyannote[615].speaker SPEAKER_24
transcript.pyannote[615].start 4461.86534375
transcript.pyannote[615].end 4462.13534375
transcript.pyannote[616].speaker SPEAKER_24
transcript.pyannote[616].start 4463.13096875
transcript.pyannote[616].end 4466.96159375
transcript.pyannote[617].speaker SPEAKER_24
transcript.pyannote[617].start 4467.45096875
transcript.pyannote[617].end 4469.74596875
transcript.pyannote[618].speaker SPEAKER_24
transcript.pyannote[618].start 4470.80909375
transcript.pyannote[618].end 4471.65284375
transcript.pyannote[619].speaker SPEAKER_24
transcript.pyannote[619].start 4472.15909375
transcript.pyannote[619].end 4476.49596875
transcript.pyannote[620].speaker SPEAKER_24
transcript.pyannote[620].start 4476.59721875
transcript.pyannote[620].end 4479.55034375
transcript.pyannote[621].speaker SPEAKER_24
transcript.pyannote[621].start 4479.97221875
transcript.pyannote[621].end 4481.54159375
transcript.pyannote[622].speaker SPEAKER_24
transcript.pyannote[622].start 4482.21659375
transcript.pyannote[622].end 4486.08096875
transcript.pyannote[623].speaker SPEAKER_24
transcript.pyannote[623].start 4486.77284375
transcript.pyannote[623].end 4489.16909375
transcript.pyannote[624].speaker SPEAKER_24
transcript.pyannote[624].start 4489.72596875
transcript.pyannote[624].end 4490.97471875
transcript.pyannote[625].speaker SPEAKER_24
transcript.pyannote[625].start 4491.31221875
transcript.pyannote[625].end 4491.97034375
transcript.pyannote[626].speaker SPEAKER_24
transcript.pyannote[626].start 4493.08409375
transcript.pyannote[626].end 4495.64909375
transcript.pyannote[627].speaker SPEAKER_24
transcript.pyannote[627].start 4496.07096875
transcript.pyannote[627].end 4498.53471875
transcript.pyannote[628].speaker SPEAKER_24
transcript.pyannote[628].start 4499.68221875
transcript.pyannote[628].end 4502.21346875
transcript.pyannote[629].speaker SPEAKER_24
transcript.pyannote[629].start 4502.66909375
transcript.pyannote[629].end 4502.97284375
transcript.pyannote[630].speaker SPEAKER_24
transcript.pyannote[630].start 4503.22596875
transcript.pyannote[630].end 4505.82471875
transcript.pyannote[631].speaker SPEAKER_24
transcript.pyannote[631].start 4506.83721875
transcript.pyannote[631].end 4507.91721875
transcript.pyannote[632].speaker SPEAKER_24
transcript.pyannote[632].start 4508.67659375
transcript.pyannote[632].end 4510.22909375
transcript.pyannote[633].speaker SPEAKER_24
transcript.pyannote[633].start 4510.83659375
transcript.pyannote[633].end 4516.57409375
transcript.pyannote[634].speaker SPEAKER_24
transcript.pyannote[634].start 4516.99596875
transcript.pyannote[634].end 4521.75471875
transcript.pyannote[635].speaker SPEAKER_24
transcript.pyannote[635].start 4522.07534375
transcript.pyannote[635].end 4523.40846875
transcript.pyannote[636].speaker SPEAKER_24
transcript.pyannote[636].start 4524.01596875
transcript.pyannote[636].end 4530.64784375
transcript.pyannote[637].speaker SPEAKER_24
transcript.pyannote[637].start 4530.95159375
transcript.pyannote[637].end 4532.21721875
transcript.pyannote[638].speaker SPEAKER_24
transcript.pyannote[638].start 4532.95971875
transcript.pyannote[638].end 4536.03096875
transcript.pyannote[639].speaker SPEAKER_24
transcript.pyannote[639].start 4536.35159375
transcript.pyannote[639].end 4537.93784375
transcript.pyannote[640].speaker SPEAKER_24
transcript.pyannote[640].start 4539.01784375
transcript.pyannote[640].end 4539.32159375
transcript.pyannote[641].speaker SPEAKER_24
transcript.pyannote[641].start 4539.81096875
transcript.pyannote[641].end 4543.50659375
transcript.pyannote[642].speaker SPEAKER_24
transcript.pyannote[642].start 4543.70909375
transcript.pyannote[642].end 4545.58221875
transcript.pyannote[643].speaker SPEAKER_24
transcript.pyannote[643].start 4546.72971875
transcript.pyannote[643].end 4546.98284375
transcript.pyannote[644].speaker SPEAKER_24
transcript.pyannote[644].start 4547.45534375
transcript.pyannote[644].end 4548.65346875
transcript.pyannote[645].speaker SPEAKER_24
transcript.pyannote[645].start 4549.07534375
transcript.pyannote[645].end 4550.25659375
transcript.pyannote[646].speaker SPEAKER_24
transcript.pyannote[646].start 4550.71221875
transcript.pyannote[646].end 4551.99471875
transcript.pyannote[647].speaker SPEAKER_24
transcript.pyannote[647].start 4552.21409375
transcript.pyannote[647].end 4553.17596875
transcript.pyannote[648].speaker SPEAKER_24
transcript.pyannote[648].start 4553.71596875
transcript.pyannote[648].end 4558.20471875
transcript.pyannote[649].speaker SPEAKER_24
transcript.pyannote[649].start 4558.50846875
transcript.pyannote[649].end 4560.11159375
transcript.pyannote[650].speaker SPEAKER_24
transcript.pyannote[650].start 4561.79909375
transcript.pyannote[650].end 4565.25846875
transcript.pyannote[651].speaker SPEAKER_24
transcript.pyannote[651].start 4566.45659375
transcript.pyannote[651].end 4567.82346875
transcript.pyannote[652].speaker SPEAKER_24
transcript.pyannote[652].start 4568.59971875
transcript.pyannote[652].end 4569.46034375
transcript.pyannote[653].speaker SPEAKER_24
transcript.pyannote[653].start 4570.03409375
transcript.pyannote[653].end 4571.06346875
transcript.pyannote[654].speaker SPEAKER_24
transcript.pyannote[654].start 4571.63721875
transcript.pyannote[654].end 4574.72534375
transcript.pyannote[655].speaker SPEAKER_24
transcript.pyannote[655].start 4576.95284375
transcript.pyannote[655].end 4578.91034375
transcript.pyannote[656].speaker SPEAKER_24
transcript.pyannote[656].start 4579.23096875
transcript.pyannote[656].end 4581.89721875
transcript.pyannote[657].speaker SPEAKER_24
transcript.pyannote[657].start 4582.85909375
transcript.pyannote[657].end 4584.58034375
transcript.pyannote[658].speaker SPEAKER_24
transcript.pyannote[658].start 4585.50846875
transcript.pyannote[658].end 4587.01034375
transcript.pyannote[659].speaker SPEAKER_24
transcript.pyannote[659].start 4587.46596875
transcript.pyannote[659].end 4587.87096875
transcript.pyannote[660].speaker SPEAKER_24
transcript.pyannote[660].start 4588.39409375
transcript.pyannote[660].end 4590.16596875
transcript.pyannote[661].speaker SPEAKER_24
transcript.pyannote[661].start 4591.07721875
transcript.pyannote[661].end 4591.41471875
transcript.pyannote[662].speaker SPEAKER_24
transcript.pyannote[662].start 4591.60034375
transcript.pyannote[662].end 4596.62909375
transcript.pyannote[663].speaker SPEAKER_24
transcript.pyannote[663].start 4597.16909375
transcript.pyannote[663].end 4600.24034375
transcript.pyannote[664].speaker SPEAKER_24
transcript.pyannote[664].start 4600.81409375
transcript.pyannote[664].end 4601.74221875
transcript.pyannote[665].speaker SPEAKER_24
transcript.pyannote[665].start 4602.80534375
transcript.pyannote[665].end 4606.75409375
transcript.pyannote[666].speaker SPEAKER_24
transcript.pyannote[666].start 4607.20971875
transcript.pyannote[666].end 4607.85096875
transcript.pyannote[667].speaker SPEAKER_24
transcript.pyannote[667].start 4608.37409375
transcript.pyannote[667].end 4609.52159375
transcript.pyannote[668].speaker SPEAKER_24
transcript.pyannote[668].start 4609.89284375
transcript.pyannote[668].end 4611.73221875
transcript.pyannote[669].speaker SPEAKER_24
transcript.pyannote[669].start 4612.22159375
transcript.pyannote[669].end 4614.22971875
transcript.pyannote[670].speaker SPEAKER_24
transcript.pyannote[670].start 4614.48284375
transcript.pyannote[670].end 4615.49534375
transcript.pyannote[671].speaker SPEAKER_24
transcript.pyannote[671].start 4616.01846875
transcript.pyannote[671].end 4618.04346875
transcript.pyannote[672].speaker SPEAKER_24
transcript.pyannote[672].start 4618.24596875
transcript.pyannote[672].end 4619.12346875
transcript.pyannote[673].speaker SPEAKER_24
transcript.pyannote[673].start 4619.57909375
transcript.pyannote[673].end 4620.52409375
transcript.pyannote[674].speaker SPEAKER_24
transcript.pyannote[674].start 4620.62534375
transcript.pyannote[674].end 4621.90784375
transcript.pyannote[675].speaker SPEAKER_24
transcript.pyannote[675].start 4622.39721875
transcript.pyannote[675].end 4622.66721875
transcript.pyannote[676].speaker SPEAKER_24
transcript.pyannote[676].start 4623.34221875
transcript.pyannote[676].end 4624.70909375
transcript.pyannote[677].speaker SPEAKER_24
transcript.pyannote[677].start 4624.77659375
transcript.pyannote[677].end 4625.92409375
transcript.pyannote[678].speaker SPEAKER_24
transcript.pyannote[678].start 4626.27846875
transcript.pyannote[678].end 4627.45971875
transcript.pyannote[679].speaker SPEAKER_24
transcript.pyannote[679].start 4627.86471875
transcript.pyannote[679].end 4628.65784375
transcript.pyannote[680].speaker SPEAKER_24
transcript.pyannote[680].start 4629.26534375
transcript.pyannote[680].end 4630.21034375
transcript.pyannote[681].speaker SPEAKER_24
transcript.pyannote[681].start 4630.83471875
transcript.pyannote[681].end 4632.11721875
transcript.pyannote[682].speaker SPEAKER_24
transcript.pyannote[682].start 4632.35346875
transcript.pyannote[682].end 4633.55159375
transcript.pyannote[683].speaker SPEAKER_24
transcript.pyannote[683].start 4634.27721875
transcript.pyannote[683].end 4634.80034375
transcript.pyannote[684].speaker SPEAKER_24
transcript.pyannote[684].start 4635.08721875
transcript.pyannote[684].end 4638.49596875
transcript.pyannote[685].speaker SPEAKER_24
transcript.pyannote[685].start 4639.33971875
transcript.pyannote[685].end 4640.01471875
transcript.pyannote[686].speaker SPEAKER_24
transcript.pyannote[686].start 4641.19596875
transcript.pyannote[686].end 4642.36034375
transcript.pyannote[687].speaker SPEAKER_24
transcript.pyannote[687].start 4643.64284375
transcript.pyannote[687].end 4644.21659375
transcript.pyannote[688].speaker SPEAKER_24
transcript.pyannote[688].start 4644.30096875
transcript.pyannote[688].end 4648.35096875
transcript.pyannote[689].speaker SPEAKER_24
transcript.pyannote[689].start 4649.11034375
transcript.pyannote[689].end 4652.70471875
transcript.pyannote[690].speaker SPEAKER_24
transcript.pyannote[690].start 4653.59909375
transcript.pyannote[690].end 4655.40471875
transcript.pyannote[691].speaker SPEAKER_24
transcript.pyannote[691].start 4656.09659375
transcript.pyannote[691].end 4657.58159375
transcript.pyannote[692].speaker SPEAKER_24
transcript.pyannote[692].start 4658.44221875
transcript.pyannote[692].end 4659.69096875
transcript.pyannote[693].speaker SPEAKER_24
transcript.pyannote[693].start 4660.50096875
transcript.pyannote[693].end 4663.03221875
transcript.pyannote[694].speaker SPEAKER_24
transcript.pyannote[694].start 4663.11659375
transcript.pyannote[694].end 4664.73659375
transcript.pyannote[695].speaker SPEAKER_24
transcript.pyannote[695].start 4665.19221875
transcript.pyannote[695].end 4666.57596875
transcript.pyannote[696].speaker SPEAKER_24
transcript.pyannote[696].start 4667.35221875
transcript.pyannote[696].end 4668.21284375
transcript.pyannote[697].speaker SPEAKER_24
transcript.pyannote[697].start 4668.88784375
transcript.pyannote[697].end 4670.23784375
transcript.pyannote[698].speaker SPEAKER_24
transcript.pyannote[698].start 4670.65971875
transcript.pyannote[698].end 4671.50346875
transcript.pyannote[699].speaker SPEAKER_24
transcript.pyannote[699].start 4671.77346875
transcript.pyannote[699].end 4673.96721875
transcript.pyannote[700].speaker SPEAKER_24
transcript.pyannote[700].start 4675.14846875
transcript.pyannote[700].end 4676.04284375
transcript.pyannote[701].speaker SPEAKER_24
transcript.pyannote[701].start 4676.43096875
transcript.pyannote[701].end 4678.60784375
transcript.pyannote[702].speaker SPEAKER_24
transcript.pyannote[702].start 4679.38409375
transcript.pyannote[702].end 4680.76784375
transcript.pyannote[703].speaker SPEAKER_24
transcript.pyannote[703].start 4681.56096875
transcript.pyannote[703].end 4682.86034375
transcript.pyannote[704].speaker SPEAKER_24
transcript.pyannote[704].start 4683.02909375
transcript.pyannote[704].end 4685.17221875
transcript.pyannote[705].speaker SPEAKER_24
transcript.pyannote[705].start 4685.69534375
transcript.pyannote[705].end 4686.11721875
transcript.pyannote[706].speaker SPEAKER_24
transcript.pyannote[706].start 4686.58971875
transcript.pyannote[706].end 4689.18846875
transcript.pyannote[707].speaker SPEAKER_24
transcript.pyannote[707].start 4689.91409375
transcript.pyannote[707].end 4690.15034375
transcript.pyannote[708].speaker SPEAKER_24
transcript.pyannote[708].start 4690.84221875
transcript.pyannote[708].end 4693.20471875
transcript.pyannote[709].speaker SPEAKER_24
transcript.pyannote[709].start 4694.38596875
transcript.pyannote[709].end 4695.26346875
transcript.pyannote[710].speaker SPEAKER_24
transcript.pyannote[710].start 4696.17471875
transcript.pyannote[710].end 4698.82409375
transcript.pyannote[711].speaker SPEAKER_24
transcript.pyannote[711].start 4699.19534375
transcript.pyannote[711].end 4701.37221875
transcript.pyannote[712].speaker SPEAKER_24
transcript.pyannote[712].start 4702.08096875
transcript.pyannote[712].end 4703.32971875
transcript.pyannote[713].speaker SPEAKER_24
transcript.pyannote[713].start 4703.98784375
transcript.pyannote[713].end 4707.07596875
transcript.pyannote[714].speaker SPEAKER_24
transcript.pyannote[714].start 4707.64971875
transcript.pyannote[714].end 4710.18096875
transcript.pyannote[715].speaker SPEAKER_24
transcript.pyannote[715].start 4710.51846875
transcript.pyannote[715].end 4715.41221875
transcript.pyannote[716].speaker SPEAKER_24
transcript.pyannote[716].start 4716.01971875
transcript.pyannote[716].end 4718.77034375
transcript.pyannote[717].speaker SPEAKER_24
transcript.pyannote[717].start 4719.51284375
transcript.pyannote[717].end 4719.95159375
transcript.pyannote[718].speaker SPEAKER_24
transcript.pyannote[718].start 4720.35659375
transcript.pyannote[718].end 4723.03971875
transcript.pyannote[719].speaker SPEAKER_24
transcript.pyannote[719].start 4723.52909375
transcript.pyannote[719].end 4732.16909375
transcript.pyannote[720].speaker SPEAKER_24
transcript.pyannote[720].start 4732.70909375
transcript.pyannote[720].end 4736.23596875
transcript.pyannote[721].speaker SPEAKER_24
transcript.pyannote[721].start 4736.65784375
transcript.pyannote[721].end 4742.42909375
transcript.pyannote[722].speaker SPEAKER_24
transcript.pyannote[722].start 4742.80034375
transcript.pyannote[722].end 4744.13346875
transcript.pyannote[723].speaker SPEAKER_24
transcript.pyannote[723].start 4744.60596875
transcript.pyannote[723].end 4745.98971875
transcript.pyannote[724].speaker SPEAKER_24
transcript.pyannote[724].start 4747.76159375
transcript.pyannote[724].end 4749.53346875
transcript.pyannote[725].speaker SPEAKER_24
transcript.pyannote[725].start 4749.90471875
transcript.pyannote[725].end 4754.74784375
transcript.pyannote[726].speaker SPEAKER_24
transcript.pyannote[726].start 4755.35534375
transcript.pyannote[726].end 4755.59159375
transcript.pyannote[727].speaker SPEAKER_24
transcript.pyannote[727].start 4756.30034375
transcript.pyannote[727].end 4757.73471875
transcript.pyannote[728].speaker SPEAKER_02
transcript.pyannote[728].start 4758.44346875
transcript.pyannote[728].end 4760.14784375
transcript.pyannote[729].speaker SPEAKER_02
transcript.pyannote[729].start 4760.51909375
transcript.pyannote[729].end 4765.95284375
transcript.pyannote[730].speaker SPEAKER_02
transcript.pyannote[730].start 4766.29034375
transcript.pyannote[730].end 4771.43721875
transcript.pyannote[731].speaker SPEAKER_22
transcript.pyannote[731].start 4771.60596875
transcript.pyannote[731].end 4771.92659375
transcript.pyannote[732].speaker SPEAKER_02
transcript.pyannote[732].start 4772.04471875
transcript.pyannote[732].end 4783.14846875
transcript.pyannote[733].speaker SPEAKER_22
transcript.pyannote[733].start 4782.10221875
transcript.pyannote[733].end 4782.37221875
transcript.pyannote[734].speaker SPEAKER_00
transcript.pyannote[734].start 4782.37221875
transcript.pyannote[734].end 4782.42284375
transcript.pyannote[735].speaker SPEAKER_02
transcript.pyannote[735].start 4784.09346875
transcript.pyannote[735].end 4791.28221875
transcript.pyannote[736].speaker SPEAKER_02
transcript.pyannote[736].start 4791.33284375
transcript.pyannote[736].end 4793.84721875
transcript.pyannote[737].speaker SPEAKER_02
transcript.pyannote[737].start 4794.35346875
transcript.pyannote[737].end 4802.89221875
transcript.pyannote[738].speaker SPEAKER_02
transcript.pyannote[738].start 4803.14534375
transcript.pyannote[738].end 4806.40221875
transcript.pyannote[739].speaker SPEAKER_02
transcript.pyannote[739].start 4806.72284375
transcript.pyannote[739].end 4809.52409375
transcript.pyannote[740].speaker SPEAKER_24
transcript.pyannote[740].start 4810.19909375
transcript.pyannote[740].end 4816.51034375
transcript.pyannote[741].speaker SPEAKER_24
transcript.pyannote[741].start 4817.32034375
transcript.pyannote[741].end 4818.40034375
transcript.pyannote[742].speaker SPEAKER_24
transcript.pyannote[742].start 4818.75471875
transcript.pyannote[742].end 4820.30721875
transcript.pyannote[743].speaker SPEAKER_24
transcript.pyannote[743].start 4820.76284375
transcript.pyannote[743].end 4821.80909375
transcript.pyannote[744].speaker SPEAKER_24
transcript.pyannote[744].start 4822.19721875
transcript.pyannote[744].end 4825.85909375
transcript.pyannote[745].speaker SPEAKER_24
transcript.pyannote[745].start 4826.34846875
transcript.pyannote[745].end 4827.15846875
transcript.pyannote[746].speaker SPEAKER_24
transcript.pyannote[746].start 4827.74909375
transcript.pyannote[746].end 4830.92159375
transcript.pyannote[747].speaker SPEAKER_24
transcript.pyannote[747].start 4831.69784375
transcript.pyannote[747].end 4832.03534375
transcript.pyannote[748].speaker SPEAKER_24
transcript.pyannote[748].start 4832.57534375
transcript.pyannote[748].end 4841.11409375
transcript.pyannote[749].speaker SPEAKER_24
transcript.pyannote[749].start 4841.43471875
transcript.pyannote[749].end 4843.89846875
transcript.pyannote[750].speaker SPEAKER_24
transcript.pyannote[750].start 4844.47221875
transcript.pyannote[750].end 4846.98659375
transcript.pyannote[751].speaker SPEAKER_24
transcript.pyannote[751].start 4847.30721875
transcript.pyannote[751].end 4850.02409375
transcript.pyannote[752].speaker SPEAKER_24
transcript.pyannote[752].start 4850.27721875
transcript.pyannote[752].end 4853.70284375
transcript.pyannote[753].speaker SPEAKER_24
transcript.pyannote[753].start 4854.15846875
transcript.pyannote[753].end 4857.83721875
transcript.pyannote[754].speaker SPEAKER_24
transcript.pyannote[754].start 4858.71471875
transcript.pyannote[754].end 4862.14034375
transcript.pyannote[755].speaker SPEAKER_24
transcript.pyannote[755].start 4862.52846875
transcript.pyannote[755].end 4863.28784375
transcript.pyannote[756].speaker SPEAKER_24
transcript.pyannote[756].start 4863.87846875
transcript.pyannote[756].end 4865.97096875
transcript.pyannote[757].speaker SPEAKER_24
transcript.pyannote[757].start 4866.27471875
transcript.pyannote[757].end 4868.46846875
transcript.pyannote[758].speaker SPEAKER_24
transcript.pyannote[758].start 4869.09284375
transcript.pyannote[758].end 4872.38346875
transcript.pyannote[759].speaker SPEAKER_24
transcript.pyannote[759].start 4872.53534375
transcript.pyannote[759].end 4874.89784375
transcript.pyannote[760].speaker SPEAKER_24
transcript.pyannote[760].start 4875.47159375
transcript.pyannote[760].end 4877.54721875
transcript.pyannote[761].speaker SPEAKER_24
transcript.pyannote[761].start 4877.66534375
transcript.pyannote[761].end 4878.96471875
transcript.pyannote[762].speaker SPEAKER_24
transcript.pyannote[762].start 4879.87596875
transcript.pyannote[762].end 4881.07409375
transcript.pyannote[763].speaker SPEAKER_24
transcript.pyannote[763].start 4881.95159375
transcript.pyannote[763].end 4884.92159375
transcript.pyannote[764].speaker SPEAKER_24
transcript.pyannote[764].start 4885.61346875
transcript.pyannote[764].end 4887.57096875
transcript.pyannote[765].speaker SPEAKER_24
transcript.pyannote[765].start 4888.11096875
transcript.pyannote[765].end 4889.41034375
transcript.pyannote[766].speaker SPEAKER_24
transcript.pyannote[766].start 4890.00096875
transcript.pyannote[766].end 4893.69659375
transcript.pyannote[767].speaker SPEAKER_24
transcript.pyannote[767].start 4894.16909375
transcript.pyannote[767].end 4894.77659375
transcript.pyannote[768].speaker SPEAKER_24
transcript.pyannote[768].start 4895.41784375
transcript.pyannote[768].end 4898.47221875
transcript.pyannote[769].speaker SPEAKER_24
transcript.pyannote[769].start 4898.70846875
transcript.pyannote[769].end 4899.53534375
transcript.pyannote[770].speaker SPEAKER_02
transcript.pyannote[770].start 4901.18909375
transcript.pyannote[770].end 4906.36971875
transcript.pyannote[771].speaker SPEAKER_25
transcript.pyannote[771].start 4906.36971875
transcript.pyannote[771].end 4906.43721875
transcript.pyannote[772].speaker SPEAKER_02
transcript.pyannote[772].start 4906.43721875
transcript.pyannote[772].end 4907.28096875
transcript.pyannote[773].speaker SPEAKER_02
transcript.pyannote[773].start 4907.65221875
transcript.pyannote[773].end 4909.10346875
transcript.pyannote[774].speaker SPEAKER_02
transcript.pyannote[774].start 4909.18784375
transcript.pyannote[774].end 4912.15784375
transcript.pyannote[775].speaker SPEAKER_02
transcript.pyannote[775].start 4912.41096875
transcript.pyannote[775].end 4917.50721875
transcript.pyannote[776].speaker SPEAKER_02
transcript.pyannote[776].start 4917.70971875
transcript.pyannote[776].end 4921.60784375
transcript.pyannote[777].speaker SPEAKER_24
transcript.pyannote[777].start 4921.38846875
transcript.pyannote[777].end 4925.26971875
transcript.pyannote[778].speaker SPEAKER_02
transcript.pyannote[778].start 4923.32909375
transcript.pyannote[778].end 4923.64971875
transcript.pyannote[779].speaker SPEAKER_02
transcript.pyannote[779].start 4924.35846875
transcript.pyannote[779].end 4926.14721875
transcript.pyannote[780].speaker SPEAKER_02
transcript.pyannote[780].start 4926.83909375
transcript.pyannote[780].end 4928.99909375
transcript.pyannote[781].speaker SPEAKER_02
transcript.pyannote[781].start 4929.28596875
transcript.pyannote[781].end 4936.52534375
transcript.pyannote[782].speaker SPEAKER_00
transcript.pyannote[782].start 4934.80409375
transcript.pyannote[782].end 4935.10784375
transcript.pyannote[783].speaker SPEAKER_02
transcript.pyannote[783].start 4936.69409375
transcript.pyannote[783].end 4949.13096875
transcript.pyannote[784].speaker SPEAKER_00
transcript.pyannote[784].start 4943.88284375
transcript.pyannote[784].end 4943.89971875
transcript.pyannote[785].speaker SPEAKER_24
transcript.pyannote[785].start 4943.89971875
transcript.pyannote[785].end 4944.86159375
transcript.pyannote[786].speaker SPEAKER_24
transcript.pyannote[786].start 4946.07659375
transcript.pyannote[786].end 4946.36346875
transcript.pyannote[787].speaker SPEAKER_24
transcript.pyannote[787].start 4948.59096875
transcript.pyannote[787].end 4955.15534375
transcript.pyannote[788].speaker SPEAKER_24
transcript.pyannote[788].start 4955.39159375
transcript.pyannote[788].end 4965.22971875
transcript.pyannote[789].speaker SPEAKER_24
transcript.pyannote[789].start 4965.78659375
transcript.pyannote[789].end 4974.57846875
transcript.pyannote[790].speaker SPEAKER_28
transcript.pyannote[790].start 4974.79784375
transcript.pyannote[790].end 4985.56409375
transcript.pyannote[791].speaker SPEAKER_28
transcript.pyannote[791].start 4986.71159375
transcript.pyannote[791].end 4987.65659375
transcript.pyannote[792].speaker SPEAKER_28
transcript.pyannote[792].start 4988.26409375
transcript.pyannote[792].end 4989.00659375
transcript.pyannote[793].speaker SPEAKER_28
transcript.pyannote[793].start 4989.71534375
transcript.pyannote[793].end 4993.57971875
transcript.pyannote[794].speaker SPEAKER_28
transcript.pyannote[794].start 4994.17034375
transcript.pyannote[794].end 5004.58221875
transcript.pyannote[795].speaker SPEAKER_25
transcript.pyannote[795].start 5013.32346875
transcript.pyannote[795].end 5016.96846875
transcript.pyannote[796].speaker SPEAKER_28
transcript.pyannote[796].start 5016.46221875
transcript.pyannote[796].end 5017.67721875
transcript.pyannote[797].speaker SPEAKER_25
transcript.pyannote[797].start 5022.25034375
transcript.pyannote[797].end 5023.19534375
transcript.pyannote[798].speaker SPEAKER_02
transcript.pyannote[798].start 5023.95471875
transcript.pyannote[798].end 5023.98846875
transcript.pyannote[799].speaker SPEAKER_25
transcript.pyannote[799].start 5023.98846875
transcript.pyannote[799].end 5024.52846875
transcript.pyannote[800].speaker SPEAKER_25
transcript.pyannote[800].start 5026.08096875
transcript.pyannote[800].end 5026.77284375
transcript.pyannote[801].speaker SPEAKER_25
transcript.pyannote[801].start 5028.98346875
transcript.pyannote[801].end 5031.59909375
transcript.pyannote[802].speaker SPEAKER_25
transcript.pyannote[802].start 5032.17284375
transcript.pyannote[802].end 5032.98284375
transcript.pyannote[803].speaker SPEAKER_25
transcript.pyannote[803].start 5034.13034375
transcript.pyannote[803].end 5035.76721875
transcript.pyannote[804].speaker SPEAKER_25
transcript.pyannote[804].start 5036.44221875
transcript.pyannote[804].end 5051.20784375
transcript.pyannote[805].speaker SPEAKER_25
transcript.pyannote[805].start 5051.41034375
transcript.pyannote[805].end 5081.34659375
transcript.pyannote[806].speaker SPEAKER_25
transcript.pyannote[806].start 5082.69659375
transcript.pyannote[806].end 5082.96659375
transcript.pyannote[807].speaker SPEAKER_02
transcript.pyannote[807].start 5082.96659375
transcript.pyannote[807].end 5083.40534375
transcript.pyannote[808].speaker SPEAKER_25
transcript.pyannote[808].start 5083.40534375
transcript.pyannote[808].end 5083.42221875
transcript.pyannote[809].speaker SPEAKER_25
transcript.pyannote[809].start 5083.72596875
transcript.pyannote[809].end 5083.74284375
transcript.pyannote[810].speaker SPEAKER_02
transcript.pyannote[810].start 5083.74284375
transcript.pyannote[810].end 5100.02721875
transcript.pyannote[811].speaker SPEAKER_02
transcript.pyannote[811].start 5100.29721875
transcript.pyannote[811].end 5101.36034375
transcript.pyannote[812].speaker SPEAKER_02
transcript.pyannote[812].start 5101.76534375
transcript.pyannote[812].end 5104.76909375
transcript.pyannote[813].speaker SPEAKER_02
transcript.pyannote[813].start 5105.02221875
transcript.pyannote[813].end 5122.84221875
transcript.pyannote[814].speaker SPEAKER_02
transcript.pyannote[814].start 5122.89284375
transcript.pyannote[814].end 5125.03596875
transcript.pyannote[815].speaker SPEAKER_02
transcript.pyannote[815].start 5125.37346875
transcript.pyannote[815].end 5130.38534375
transcript.pyannote[816].speaker SPEAKER_25
transcript.pyannote[816].start 5131.68471875
transcript.pyannote[816].end 5132.07284375
transcript.pyannote[817].speaker SPEAKER_25
transcript.pyannote[817].start 5132.54534375
transcript.pyannote[817].end 5143.44659375
transcript.pyannote[818].speaker SPEAKER_25
transcript.pyannote[818].start 5143.71659375
transcript.pyannote[818].end 5146.65284375
transcript.pyannote[819].speaker SPEAKER_25
transcript.pyannote[819].start 5146.83846875
transcript.pyannote[819].end 5173.61909375
transcript.pyannote[820].speaker SPEAKER_25
transcript.pyannote[820].start 5173.99034375
transcript.pyannote[820].end 5175.35721875
transcript.pyannote[821].speaker SPEAKER_25
transcript.pyannote[821].start 5175.49221875
transcript.pyannote[821].end 5198.50971875
transcript.pyannote[822].speaker SPEAKER_25
transcript.pyannote[822].start 5199.06659375
transcript.pyannote[822].end 5205.05721875
transcript.pyannote[823].speaker SPEAKER_25
transcript.pyannote[823].start 5205.32721875
transcript.pyannote[823].end 5206.54221875
transcript.pyannote[824].speaker SPEAKER_25
transcript.pyannote[824].start 5207.72346875
transcript.pyannote[824].end 5209.76534375
transcript.pyannote[825].speaker SPEAKER_02
transcript.pyannote[825].start 5207.89221875
transcript.pyannote[825].end 5208.19596875
transcript.pyannote[826].speaker SPEAKER_02
transcript.pyannote[826].start 5209.76534375
transcript.pyannote[826].end 5231.44971875
transcript.pyannote[827].speaker SPEAKER_25
transcript.pyannote[827].start 5209.91721875
transcript.pyannote[827].end 5210.42346875
transcript.pyannote[828].speaker SPEAKER_02
transcript.pyannote[828].start 5231.50034375
transcript.pyannote[828].end 5232.19221875
transcript.pyannote[829].speaker SPEAKER_02
transcript.pyannote[829].start 5232.78284375
transcript.pyannote[829].end 5234.80784375
transcript.pyannote[830].speaker SPEAKER_02
transcript.pyannote[830].start 5234.89221875
transcript.pyannote[830].end 5238.28409375
transcript.pyannote[831].speaker SPEAKER_02
transcript.pyannote[831].start 5238.43596875
transcript.pyannote[831].end 5246.40096875
transcript.pyannote[832].speaker SPEAKER_02
transcript.pyannote[832].start 5246.56971875
transcript.pyannote[832].end 5252.57721875
transcript.pyannote[833].speaker SPEAKER_25
transcript.pyannote[833].start 5249.42159375
transcript.pyannote[833].end 5249.62409375
transcript.pyannote[834].speaker SPEAKER_25
transcript.pyannote[834].start 5250.53534375
transcript.pyannote[834].end 5251.10909375
transcript.pyannote[835].speaker SPEAKER_25
transcript.pyannote[835].start 5252.34096875
transcript.pyannote[835].end 5269.57034375
transcript.pyannote[836].speaker SPEAKER_25
transcript.pyannote[836].start 5269.90784375
transcript.pyannote[836].end 5276.91096875
transcript.pyannote[837].speaker SPEAKER_25
transcript.pyannote[837].start 5277.28221875
transcript.pyannote[837].end 5343.53346875
transcript.pyannote[838].speaker SPEAKER_25
transcript.pyannote[838].start 5343.61784375
transcript.pyannote[838].end 5392.38659375
transcript.pyannote[839].speaker SPEAKER_25
transcript.pyannote[839].start 5392.47096875
transcript.pyannote[839].end 5392.67346875
transcript.pyannote[840].speaker SPEAKER_02
transcript.pyannote[840].start 5392.67346875
transcript.pyannote[840].end 5392.70721875
transcript.pyannote[841].speaker SPEAKER_25
transcript.pyannote[841].start 5392.70721875
transcript.pyannote[841].end 5393.73659375
transcript.pyannote[842].speaker SPEAKER_02
transcript.pyannote[842].start 5393.73659375
transcript.pyannote[842].end 5393.77034375
transcript.pyannote[843].speaker SPEAKER_02
transcript.pyannote[843].start 5394.44534375
transcript.pyannote[843].end 5400.68909375
transcript.pyannote[844].speaker SPEAKER_02
transcript.pyannote[844].start 5400.99284375
transcript.pyannote[844].end 5403.97971875
transcript.pyannote[845].speaker SPEAKER_02
transcript.pyannote[845].start 5404.46909375
transcript.pyannote[845].end 5411.48909375
transcript.pyannote[846].speaker SPEAKER_02
transcript.pyannote[846].start 5411.89409375
transcript.pyannote[846].end 5418.98159375
transcript.pyannote[847].speaker SPEAKER_02
transcript.pyannote[847].start 5419.55534375
transcript.pyannote[847].end 5425.76534375
transcript.pyannote[848].speaker SPEAKER_02
transcript.pyannote[848].start 5426.54159375
transcript.pyannote[848].end 5427.87471875
transcript.pyannote[849].speaker SPEAKER_02
transcript.pyannote[849].start 5428.11096875
transcript.pyannote[849].end 5432.11034375
transcript.pyannote[850].speaker SPEAKER_25
transcript.pyannote[850].start 5432.11034375
transcript.pyannote[850].end 5470.11284375
transcript.pyannote[851].speaker SPEAKER_25
transcript.pyannote[851].start 5470.85534375
transcript.pyannote[851].end 5483.20784375
transcript.pyannote[852].speaker SPEAKER_25
transcript.pyannote[852].start 5483.42721875
transcript.pyannote[852].end 5495.64471875
transcript.pyannote[853].speaker SPEAKER_02
transcript.pyannote[853].start 5496.77534375
transcript.pyannote[853].end 5504.20034375
transcript.pyannote[854].speaker SPEAKER_02
transcript.pyannote[854].start 5504.31846875
transcript.pyannote[854].end 5505.22971875
transcript.pyannote[855].speaker SPEAKER_02
transcript.pyannote[855].start 5505.53346875
transcript.pyannote[855].end 5511.45659375
transcript.pyannote[856].speaker SPEAKER_02
transcript.pyannote[856].start 5512.03034375
transcript.pyannote[856].end 5514.03846875
transcript.pyannote[857].speaker SPEAKER_02
transcript.pyannote[857].start 5514.59534375
transcript.pyannote[857].end 5523.74159375
transcript.pyannote[858].speaker SPEAKER_02
transcript.pyannote[858].start 5524.11284375
transcript.pyannote[858].end 5534.69346875
transcript.pyannote[859].speaker SPEAKER_25
transcript.pyannote[859].start 5535.26721875
transcript.pyannote[859].end 5565.40596875
transcript.pyannote[860].speaker SPEAKER_25
transcript.pyannote[860].start 5565.76034375
transcript.pyannote[860].end 5566.84034375
transcript.pyannote[861].speaker SPEAKER_25
transcript.pyannote[861].start 5567.22846875
transcript.pyannote[861].end 5568.37596875
transcript.pyannote[862].speaker SPEAKER_25
transcript.pyannote[862].start 5568.96659375
transcript.pyannote[862].end 5577.82596875
transcript.pyannote[863].speaker SPEAKER_25
transcript.pyannote[863].start 5578.39971875
transcript.pyannote[863].end 5578.80471875
transcript.pyannote[864].speaker SPEAKER_25
transcript.pyannote[864].start 5579.19284375
transcript.pyannote[864].end 5589.45284375
transcript.pyannote[865].speaker SPEAKER_25
transcript.pyannote[865].start 5590.07721875
transcript.pyannote[865].end 5614.47846875
transcript.pyannote[866].speaker SPEAKER_25
transcript.pyannote[866].start 5614.98471875
transcript.pyannote[866].end 5620.68846875
transcript.pyannote[867].speaker SPEAKER_25
transcript.pyannote[867].start 5620.90784375
transcript.pyannote[867].end 5624.65409375
transcript.pyannote[868].speaker SPEAKER_25
transcript.pyannote[868].start 5625.16034375
transcript.pyannote[868].end 5647.73909375
transcript.pyannote[869].speaker SPEAKER_02
transcript.pyannote[869].start 5648.56596875
transcript.pyannote[869].end 5650.97909375
transcript.pyannote[870].speaker SPEAKER_02
transcript.pyannote[870].start 5651.51909375
transcript.pyannote[870].end 5659.23096875
transcript.pyannote[871].speaker SPEAKER_02
transcript.pyannote[871].start 5659.46721875
transcript.pyannote[871].end 5663.97284375
transcript.pyannote[872].speaker SPEAKER_28
transcript.pyannote[872].start 5663.97284375
transcript.pyannote[872].end 5664.17534375
transcript.pyannote[873].speaker SPEAKER_02
transcript.pyannote[873].start 5664.17534375
transcript.pyannote[873].end 5664.44534375
transcript.pyannote[874].speaker SPEAKER_28
transcript.pyannote[874].start 5664.44534375
transcript.pyannote[874].end 5664.79971875
transcript.pyannote[875].speaker SPEAKER_02
transcript.pyannote[875].start 5664.79971875
transcript.pyannote[875].end 5664.85034375
transcript.pyannote[876].speaker SPEAKER_28
transcript.pyannote[876].start 5664.85034375
transcript.pyannote[876].end 5664.86721875
transcript.pyannote[877].speaker SPEAKER_02
transcript.pyannote[877].start 5664.86721875
transcript.pyannote[877].end 5664.90096875
transcript.pyannote[878].speaker SPEAKER_28
transcript.pyannote[878].start 5665.27221875
transcript.pyannote[878].end 5670.48659375
transcript.pyannote[879].speaker SPEAKER_28
transcript.pyannote[879].start 5670.79034375
transcript.pyannote[879].end 5673.45659375
transcript.pyannote[880].speaker SPEAKER_20
transcript.pyannote[880].start 5685.65721875
transcript.pyannote[880].end 5688.67784375
transcript.pyannote[881].speaker SPEAKER_28
transcript.pyannote[881].start 5688.98159375
transcript.pyannote[881].end 5690.12909375
transcript.pyannote[882].speaker SPEAKER_02
transcript.pyannote[882].start 5696.50784375
transcript.pyannote[882].end 5697.14909375
transcript.pyannote[883].speaker SPEAKER_20
transcript.pyannote[883].start 5697.35159375
transcript.pyannote[883].end 5706.86909375
transcript.pyannote[884].speaker SPEAKER_20
transcript.pyannote[884].start 5706.97034375
transcript.pyannote[884].end 5714.46284375
transcript.pyannote[885].speaker SPEAKER_20
transcript.pyannote[885].start 5714.69909375
transcript.pyannote[885].end 5735.75909375
transcript.pyannote[886].speaker SPEAKER_20
transcript.pyannote[886].start 5736.01221875
transcript.pyannote[886].end 5740.66971875
transcript.pyannote[887].speaker SPEAKER_20
transcript.pyannote[887].start 5740.90596875
transcript.pyannote[887].end 5742.81284375
transcript.pyannote[888].speaker SPEAKER_20
transcript.pyannote[888].start 5742.93096875
transcript.pyannote[888].end 5747.48721875
transcript.pyannote[889].speaker SPEAKER_20
transcript.pyannote[889].start 5747.75721875
transcript.pyannote[889].end 5786.13096875
transcript.pyannote[890].speaker SPEAKER_02
transcript.pyannote[890].start 5787.86909375
transcript.pyannote[890].end 5799.83346875
transcript.pyannote[891].speaker SPEAKER_22
transcript.pyannote[891].start 5799.42846875
transcript.pyannote[891].end 5799.52971875
transcript.pyannote[892].speaker SPEAKER_02
transcript.pyannote[892].start 5799.95159375
transcript.pyannote[892].end 5801.14971875
transcript.pyannote[893].speaker SPEAKER_02
transcript.pyannote[893].start 5801.94284375
transcript.pyannote[893].end 5804.82846875
transcript.pyannote[894].speaker SPEAKER_02
transcript.pyannote[894].start 5805.23346875
transcript.pyannote[894].end 5808.57471875
transcript.pyannote[895].speaker SPEAKER_02
transcript.pyannote[895].start 5808.96284375
transcript.pyannote[895].end 5811.66284375
transcript.pyannote[896].speaker SPEAKER_20
transcript.pyannote[896].start 5810.88659375
transcript.pyannote[896].end 5810.92034375
transcript.pyannote[897].speaker SPEAKER_02
transcript.pyannote[897].start 5811.93284375
transcript.pyannote[897].end 5820.69096875
transcript.pyannote[898].speaker SPEAKER_02
transcript.pyannote[898].start 5820.92721875
transcript.pyannote[898].end 5823.99846875
transcript.pyannote[899].speaker SPEAKER_02
transcript.pyannote[899].start 5824.09971875
transcript.pyannote[899].end 5830.14096875
transcript.pyannote[900].speaker SPEAKER_02
transcript.pyannote[900].start 5830.63034375
transcript.pyannote[900].end 5831.82846875
transcript.pyannote[901].speaker SPEAKER_02
transcript.pyannote[901].start 5832.45284375
transcript.pyannote[901].end 5833.14471875
transcript.pyannote[902].speaker SPEAKER_02
transcript.pyannote[902].start 5833.48221875
transcript.pyannote[902].end 5835.05159375
transcript.pyannote[903].speaker SPEAKER_02
transcript.pyannote[903].start 5835.47346875
transcript.pyannote[903].end 5836.11471875
transcript.pyannote[904].speaker SPEAKER_02
transcript.pyannote[904].start 5836.43534375
transcript.pyannote[904].end 5838.15659375
transcript.pyannote[905].speaker SPEAKER_02
transcript.pyannote[905].start 5838.52784375
transcript.pyannote[905].end 5840.85659375
transcript.pyannote[906].speaker SPEAKER_02
transcript.pyannote[906].start 5841.26159375
transcript.pyannote[906].end 5843.32034375
transcript.pyannote[907].speaker SPEAKER_02
transcript.pyannote[907].start 5843.65784375
transcript.pyannote[907].end 5845.19346875
transcript.pyannote[908].speaker SPEAKER_02
transcript.pyannote[908].start 5845.48034375
transcript.pyannote[908].end 5846.93159375
transcript.pyannote[909].speaker SPEAKER_02
transcript.pyannote[909].start 5847.40409375
transcript.pyannote[909].end 5849.04096875
transcript.pyannote[910].speaker SPEAKER_02
transcript.pyannote[910].start 5849.24346875
transcript.pyannote[910].end 5852.17971875
transcript.pyannote[911].speaker SPEAKER_02
transcript.pyannote[911].start 5852.55096875
transcript.pyannote[911].end 5854.30596875
transcript.pyannote[912].speaker SPEAKER_02
transcript.pyannote[912].start 5854.91346875
transcript.pyannote[912].end 5870.82659375
transcript.pyannote[913].speaker SPEAKER_02
transcript.pyannote[913].start 5871.34971875
transcript.pyannote[913].end 5874.30284375
transcript.pyannote[914].speaker SPEAKER_02
transcript.pyannote[914].start 5874.77534375
transcript.pyannote[914].end 5876.34471875
transcript.pyannote[915].speaker SPEAKER_02
transcript.pyannote[915].start 5876.64846875
transcript.pyannote[915].end 5879.09534375
transcript.pyannote[916].speaker SPEAKER_02
transcript.pyannote[916].start 5879.44971875
transcript.pyannote[916].end 5880.12471875
transcript.pyannote[917].speaker SPEAKER_02
transcript.pyannote[917].start 5880.36096875
transcript.pyannote[917].end 5888.03909375
transcript.pyannote[918].speaker SPEAKER_02
transcript.pyannote[918].start 5888.19096875
transcript.pyannote[918].end 5903.86784375
transcript.pyannote[919].speaker SPEAKER_02
transcript.pyannote[919].start 5904.08721875
transcript.pyannote[919].end 5905.38659375
transcript.pyannote[920].speaker SPEAKER_02
transcript.pyannote[920].start 5905.62284375
transcript.pyannote[920].end 5908.66034375
transcript.pyannote[921].speaker SPEAKER_20
transcript.pyannote[921].start 5909.01471875
transcript.pyannote[921].end 5927.27346875
transcript.pyannote[922].speaker SPEAKER_20
transcript.pyannote[922].start 5927.52659375
transcript.pyannote[922].end 5929.92284375
transcript.pyannote[923].speaker SPEAKER_20
transcript.pyannote[923].start 5930.10846875
transcript.pyannote[923].end 5932.65659375
transcript.pyannote[924].speaker SPEAKER_20
transcript.pyannote[924].start 5932.97721875
transcript.pyannote[924].end 5934.81659375
transcript.pyannote[925].speaker SPEAKER_20
transcript.pyannote[925].start 5935.28909375
transcript.pyannote[925].end 5940.31784375
transcript.pyannote[926].speaker SPEAKER_20
transcript.pyannote[926].start 5940.67221875
transcript.pyannote[926].end 5967.94221875
transcript.pyannote[927].speaker SPEAKER_00
transcript.pyannote[927].start 5947.99596875
transcript.pyannote[927].end 5948.31659375
transcript.pyannote[928].speaker SPEAKER_00
transcript.pyannote[928].start 5948.46846875
transcript.pyannote[928].end 5948.65409375
transcript.pyannote[929].speaker SPEAKER_20
transcript.pyannote[929].start 5968.19534375
transcript.pyannote[929].end 5986.36971875
transcript.pyannote[930].speaker SPEAKER_20
transcript.pyannote[930].start 5986.50471875
transcript.pyannote[930].end 5988.74909375
transcript.pyannote[931].speaker SPEAKER_20
transcript.pyannote[931].start 5989.03596875
transcript.pyannote[931].end 5993.00159375
transcript.pyannote[932].speaker SPEAKER_20
transcript.pyannote[932].start 5993.23784375
transcript.pyannote[932].end 5995.95471875
transcript.pyannote[933].speaker SPEAKER_20
transcript.pyannote[933].start 5996.10659375
transcript.pyannote[933].end 5999.14409375
transcript.pyannote[934].speaker SPEAKER_20
transcript.pyannote[934].start 5999.39721875
transcript.pyannote[934].end 6032.21909375
transcript.pyannote[935].speaker SPEAKER_20
transcript.pyannote[935].start 6032.35409375
transcript.pyannote[935].end 6033.77159375
transcript.pyannote[936].speaker SPEAKER_20
transcript.pyannote[936].start 6034.24409375
transcript.pyannote[936].end 6036.99471875
transcript.pyannote[937].speaker SPEAKER_02
transcript.pyannote[937].start 6038.36159375
transcript.pyannote[937].end 6052.33409375
transcript.pyannote[938].speaker SPEAKER_02
transcript.pyannote[938].start 6052.53659375
transcript.pyannote[938].end 6053.78534375
transcript.pyannote[939].speaker SPEAKER_02
transcript.pyannote[939].start 6054.24096875
transcript.pyannote[939].end 6056.02971875
transcript.pyannote[940].speaker SPEAKER_02
transcript.pyannote[940].start 6056.29971875
transcript.pyannote[940].end 6058.29096875
transcript.pyannote[941].speaker SPEAKER_02
transcript.pyannote[941].start 6058.39221875
transcript.pyannote[941].end 6059.01659375
transcript.pyannote[942].speaker SPEAKER_02
transcript.pyannote[942].start 6059.48909375
transcript.pyannote[942].end 6065.96909375
transcript.pyannote[943].speaker SPEAKER_02
transcript.pyannote[943].start 6066.27284375
transcript.pyannote[943].end 6070.79534375
transcript.pyannote[944].speaker SPEAKER_03
transcript.pyannote[944].start 6070.79534375
transcript.pyannote[944].end 6071.11596875
transcript.pyannote[945].speaker SPEAKER_02
transcript.pyannote[945].start 6070.84596875
transcript.pyannote[945].end 6072.87096875
transcript.pyannote[946].speaker SPEAKER_02
transcript.pyannote[946].start 6072.93846875
transcript.pyannote[946].end 6085.45971875
transcript.pyannote[947].speaker SPEAKER_02
transcript.pyannote[947].start 6086.57346875
transcript.pyannote[947].end 6096.02346875
transcript.pyannote[948].speaker SPEAKER_02
transcript.pyannote[948].start 6096.42846875
transcript.pyannote[948].end 6099.90471875
transcript.pyannote[949].speaker SPEAKER_22
transcript.pyannote[949].start 6099.90471875
transcript.pyannote[949].end 6099.97221875
transcript.pyannote[950].speaker SPEAKER_02
transcript.pyannote[950].start 6099.97221875
transcript.pyannote[950].end 6101.72721875
transcript.pyannote[951].speaker SPEAKER_22
transcript.pyannote[951].start 6100.02284375
transcript.pyannote[951].end 6100.22534375
transcript.pyannote[952].speaker SPEAKER_02
transcript.pyannote[952].start 6102.23346875
transcript.pyannote[952].end 6106.24971875
transcript.pyannote[953].speaker SPEAKER_22
transcript.pyannote[953].start 6106.24971875
transcript.pyannote[953].end 6106.58721875
transcript.pyannote[954].speaker SPEAKER_02
transcript.pyannote[954].start 6106.40159375
transcript.pyannote[954].end 6112.51034375
transcript.pyannote[955].speaker SPEAKER_02
transcript.pyannote[955].start 6112.64534375
transcript.pyannote[955].end 6126.46596875
transcript.pyannote[956].speaker SPEAKER_20
transcript.pyannote[956].start 6124.66034375
transcript.pyannote[956].end 6127.76534375
transcript.pyannote[957].speaker SPEAKER_20
transcript.pyannote[957].start 6128.22096875
transcript.pyannote[957].end 6129.21659375
transcript.pyannote[958].speaker SPEAKER_02
transcript.pyannote[958].start 6128.67659375
transcript.pyannote[958].end 6131.34284375
transcript.pyannote[959].speaker SPEAKER_20
transcript.pyannote[959].start 6130.97159375
transcript.pyannote[959].end 6131.47784375
transcript.pyannote[960].speaker SPEAKER_02
transcript.pyannote[960].start 6131.47784375
transcript.pyannote[960].end 6132.97971875
transcript.pyannote[961].speaker SPEAKER_20
transcript.pyannote[961].start 6131.49471875
transcript.pyannote[961].end 6131.59596875
transcript.pyannote[962].speaker SPEAKER_22
transcript.pyannote[962].start 6131.59596875
transcript.pyannote[962].end 6131.66346875
transcript.pyannote[963].speaker SPEAKER_02
transcript.pyannote[963].start 6133.30034375
transcript.pyannote[963].end 6138.24471875
transcript.pyannote[964].speaker SPEAKER_22
transcript.pyannote[964].start 6136.10159375
transcript.pyannote[964].end 6136.20284375
transcript.pyannote[965].speaker SPEAKER_02
transcript.pyannote[965].start 6138.59909375
transcript.pyannote[965].end 6144.28596875
transcript.pyannote[966].speaker SPEAKER_20
transcript.pyannote[966].start 6144.42096875
transcript.pyannote[966].end 6151.69409375
transcript.pyannote[967].speaker SPEAKER_20
transcript.pyannote[967].start 6151.74471875
transcript.pyannote[967].end 6154.54596875
transcript.pyannote[968].speaker SPEAKER_20
transcript.pyannote[968].start 6154.66409375
transcript.pyannote[968].end 6163.52346875
transcript.pyannote[969].speaker SPEAKER_20
transcript.pyannote[969].start 6163.77659375
transcript.pyannote[969].end 6210.11534375
transcript.pyannote[970].speaker SPEAKER_02
transcript.pyannote[970].start 6211.04346875
transcript.pyannote[970].end 6213.77721875
transcript.pyannote[971].speaker SPEAKER_20
transcript.pyannote[971].start 6213.74346875
transcript.pyannote[971].end 6214.33409375
transcript.pyannote[972].speaker SPEAKER_05
transcript.pyannote[972].start 6216.78096875
transcript.pyannote[972].end 6221.06721875
transcript.pyannote[973].speaker SPEAKER_05
transcript.pyannote[973].start 6221.16846875
transcript.pyannote[973].end 6225.43784375
transcript.pyannote[974].speaker SPEAKER_05
transcript.pyannote[974].start 6225.65721875
transcript.pyannote[974].end 6234.63471875
transcript.pyannote[975].speaker SPEAKER_00
transcript.pyannote[975].start 6230.87159375
transcript.pyannote[975].end 6231.44534375
transcript.pyannote[976].speaker SPEAKER_05
transcript.pyannote[976].start 6234.85409375
transcript.pyannote[976].end 6277.63221875
transcript.pyannote[977].speaker SPEAKER_00
transcript.pyannote[977].start 6237.18284375
transcript.pyannote[977].end 6237.73971875
transcript.pyannote[978].speaker SPEAKER_20
transcript.pyannote[978].start 6268.73909375
transcript.pyannote[978].end 6269.02596875
transcript.pyannote[979].speaker SPEAKER_22
transcript.pyannote[979].start 6269.02596875
transcript.pyannote[979].end 6270.02159375
transcript.pyannote[980].speaker SPEAKER_22
transcript.pyannote[980].start 6270.54471875
transcript.pyannote[980].end 6270.88221875
transcript.pyannote[981].speaker SPEAKER_20
transcript.pyannote[981].start 6277.88534375
transcript.pyannote[981].end 6278.86409375
transcript.pyannote[982].speaker SPEAKER_20
transcript.pyannote[982].start 6279.16784375
transcript.pyannote[982].end 6295.60409375
transcript.pyannote[983].speaker SPEAKER_20
transcript.pyannote[983].start 6296.58284375
transcript.pyannote[983].end 6297.40971875
transcript.pyannote[984].speaker SPEAKER_28
transcript.pyannote[984].start 6298.20284375
transcript.pyannote[984].end 6298.67534375
transcript.pyannote[985].speaker SPEAKER_28
transcript.pyannote[985].start 6298.92846875
transcript.pyannote[985].end 6302.11784375
transcript.pyannote[986].speaker SPEAKER_28
transcript.pyannote[986].start 6302.55659375
transcript.pyannote[986].end 6316.96784375
transcript.pyannote[987].speaker SPEAKER_19
transcript.pyannote[987].start 6322.95846875
transcript.pyannote[987].end 6325.11846875
transcript.pyannote[988].speaker SPEAKER_19
transcript.pyannote[988].start 6325.50659375
transcript.pyannote[988].end 6329.28659375
transcript.pyannote[989].speaker SPEAKER_28
transcript.pyannote[989].start 6329.60721875
transcript.pyannote[989].end 6330.61971875
transcript.pyannote[990].speaker SPEAKER_19
transcript.pyannote[990].start 6334.97346875
transcript.pyannote[990].end 6336.57659375
transcript.pyannote[991].speaker SPEAKER_19
transcript.pyannote[991].start 6336.76221875
transcript.pyannote[991].end 6367.99784375
transcript.pyannote[992].speaker SPEAKER_19
transcript.pyannote[992].start 6368.65596875
transcript.pyannote[992].end 6380.62034375
transcript.pyannote[993].speaker SPEAKER_19
transcript.pyannote[993].start 6380.94096875
transcript.pyannote[993].end 6453.04784375
transcript.pyannote[994].speaker SPEAKER_19
transcript.pyannote[994].start 6455.64659375
transcript.pyannote[994].end 6457.62096875
transcript.pyannote[995].speaker SPEAKER_14
transcript.pyannote[995].start 6456.22034375
transcript.pyannote[995].end 6456.79409375
transcript.pyannote[996].speaker SPEAKER_14
transcript.pyannote[996].start 6459.19034375
transcript.pyannote[996].end 6491.97846875
transcript.pyannote[997].speaker SPEAKER_00
transcript.pyannote[997].start 6469.43346875
transcript.pyannote[997].end 6469.83846875
transcript.pyannote[998].speaker SPEAKER_00
transcript.pyannote[998].start 6473.28096875
transcript.pyannote[998].end 6474.02346875
transcript.pyannote[999].speaker SPEAKER_19
transcript.pyannote[999].start 6474.02346875
transcript.pyannote[999].end 6475.10346875
transcript.pyannote[1000].speaker SPEAKER_19
transcript.pyannote[1000].start 6478.81596875
transcript.pyannote[1000].end 6478.84971875
transcript.pyannote[1001].speaker SPEAKER_22
transcript.pyannote[1001].start 6478.84971875
transcript.pyannote[1001].end 6479.23784375
transcript.pyannote[1002].speaker SPEAKER_22
transcript.pyannote[1002].start 6481.98846875
transcript.pyannote[1002].end 6483.69284375
transcript.pyannote[1003].speaker SPEAKER_19
transcript.pyannote[1003].start 6483.69284375
transcript.pyannote[1003].end 6483.72659375
transcript.pyannote[1004].speaker SPEAKER_19
transcript.pyannote[1004].start 6491.97846875
transcript.pyannote[1004].end 6515.31659375
transcript.pyannote[1005].speaker SPEAKER_19
transcript.pyannote[1005].start 6515.65409375
transcript.pyannote[1005].end 6555.46221875
transcript.pyannote[1006].speaker SPEAKER_19
transcript.pyannote[1006].start 6556.30596875
transcript.pyannote[1006].end 6558.55034375
transcript.pyannote[1007].speaker SPEAKER_19
transcript.pyannote[1007].start 6562.27971875
transcript.pyannote[1007].end 6562.65096875
transcript.pyannote[1008].speaker SPEAKER_11
transcript.pyannote[1008].start 6562.51596875
transcript.pyannote[1008].end 6575.67846875
transcript.pyannote[1009].speaker SPEAKER_19
transcript.pyannote[1009].start 6575.69534375
transcript.pyannote[1009].end 6579.25596875
transcript.pyannote[1010].speaker SPEAKER_19
transcript.pyannote[1010].start 6579.54284375
transcript.pyannote[1010].end 6584.23409375
transcript.pyannote[1011].speaker SPEAKER_19
transcript.pyannote[1011].start 6584.68971875
transcript.pyannote[1011].end 6594.30846875
transcript.pyannote[1012].speaker SPEAKER_02
transcript.pyannote[1012].start 6593.59971875
transcript.pyannote[1012].end 6597.29534375
transcript.pyannote[1013].speaker SPEAKER_19
transcript.pyannote[1013].start 6595.48971875
transcript.pyannote[1013].end 6595.81034375
transcript.pyannote[1014].speaker SPEAKER_02
transcript.pyannote[1014].start 6597.78471875
transcript.pyannote[1014].end 6613.05659375
transcript.pyannote[1015].speaker SPEAKER_29
transcript.pyannote[1015].start 6601.90221875
transcript.pyannote[1015].end 6602.30721875
transcript.pyannote[1016].speaker SPEAKER_02
transcript.pyannote[1016].start 6613.27596875
transcript.pyannote[1016].end 6614.84534375
transcript.pyannote[1017].speaker SPEAKER_02
transcript.pyannote[1017].start 6615.16596875
transcript.pyannote[1017].end 6618.25409375
transcript.pyannote[1018].speaker SPEAKER_02
transcript.pyannote[1018].start 6618.45659375
transcript.pyannote[1018].end 6619.99221875
transcript.pyannote[1019].speaker SPEAKER_02
transcript.pyannote[1019].start 6620.32971875
transcript.pyannote[1019].end 6628.48034375
transcript.pyannote[1020].speaker SPEAKER_06
transcript.pyannote[1020].start 6622.57409375
transcript.pyannote[1020].end 6622.60784375
transcript.pyannote[1021].speaker SPEAKER_19
transcript.pyannote[1021].start 6622.60784375
transcript.pyannote[1021].end 6622.99596875
transcript.pyannote[1022].speaker SPEAKER_19
transcript.pyannote[1022].start 6628.66596875
transcript.pyannote[1022].end 6675.71346875
transcript.pyannote[1023].speaker SPEAKER_19
transcript.pyannote[1023].start 6676.18596875
transcript.pyannote[1023].end 6677.19846875
transcript.pyannote[1024].speaker SPEAKER_19
transcript.pyannote[1024].start 6677.87346875
transcript.pyannote[1024].end 6687.39096875
transcript.pyannote[1025].speaker SPEAKER_19
transcript.pyannote[1025].start 6688.63971875
transcript.pyannote[1025].end 6715.72409375
transcript.pyannote[1026].speaker SPEAKER_19
transcript.pyannote[1026].start 6716.48346875
transcript.pyannote[1026].end 6746.62221875
transcript.pyannote[1027].speaker SPEAKER_19
transcript.pyannote[1027].start 6747.06096875
transcript.pyannote[1027].end 6750.92534375
transcript.pyannote[1028].speaker SPEAKER_19
transcript.pyannote[1028].start 6752.12346875
transcript.pyannote[1028].end 6757.10159375
transcript.pyannote[1029].speaker SPEAKER_19
transcript.pyannote[1029].start 6757.45596875
transcript.pyannote[1029].end 6789.19784375
transcript.pyannote[1030].speaker SPEAKER_19
transcript.pyannote[1030].start 6789.43409375
transcript.pyannote[1030].end 6826.89659375
transcript.pyannote[1031].speaker SPEAKER_19
transcript.pyannote[1031].start 6827.35221875
transcript.pyannote[1031].end 6830.30534375
transcript.pyannote[1032].speaker SPEAKER_19
transcript.pyannote[1032].start 6830.67659375
transcript.pyannote[1032].end 6833.39346875
transcript.pyannote[1033].speaker SPEAKER_02
transcript.pyannote[1033].start 6834.18659375
transcript.pyannote[1033].end 6846.80909375
transcript.pyannote[1034].speaker SPEAKER_19
transcript.pyannote[1034].start 6839.94096875
transcript.pyannote[1034].end 6839.95784375
transcript.pyannote[1035].speaker SPEAKER_00
transcript.pyannote[1035].start 6839.95784375
transcript.pyannote[1035].end 6839.97471875
transcript.pyannote[1036].speaker SPEAKER_19
transcript.pyannote[1036].start 6839.97471875
transcript.pyannote[1036].end 6840.27846875
transcript.pyannote[1037].speaker SPEAKER_00
transcript.pyannote[1037].start 6840.27846875
transcript.pyannote[1037].end 6840.37971875
transcript.pyannote[1038].speaker SPEAKER_19
transcript.pyannote[1038].start 6840.59909375
transcript.pyannote[1038].end 6840.88596875
transcript.pyannote[1039].speaker SPEAKER_22
transcript.pyannote[1039].start 6845.44221875
transcript.pyannote[1039].end 6845.84721875
transcript.pyannote[1040].speaker SPEAKER_02
transcript.pyannote[1040].start 6846.97784375
transcript.pyannote[1040].end 6848.29409375
transcript.pyannote[1041].speaker SPEAKER_02
transcript.pyannote[1041].start 6848.59784375
transcript.pyannote[1041].end 6853.72784375
transcript.pyannote[1042].speaker SPEAKER_22
transcript.pyannote[1042].start 6852.25971875
transcript.pyannote[1042].end 6852.81659375
transcript.pyannote[1043].speaker SPEAKER_22
transcript.pyannote[1043].start 6853.82909375
transcript.pyannote[1043].end 6854.26784375
transcript.pyannote[1044].speaker SPEAKER_02
transcript.pyannote[1044].start 6854.26784375
transcript.pyannote[1044].end 6858.36846875
transcript.pyannote[1045].speaker SPEAKER_22
transcript.pyannote[1045].start 6854.28471875
transcript.pyannote[1045].end 6854.30159375
transcript.pyannote[1046].speaker SPEAKER_22
transcript.pyannote[1046].start 6858.28409375
transcript.pyannote[1046].end 6858.62159375
transcript.pyannote[1047].speaker SPEAKER_02
transcript.pyannote[1047].start 6858.52034375
transcript.pyannote[1047].end 6864.10596875
transcript.pyannote[1048].speaker SPEAKER_22
transcript.pyannote[1048].start 6863.32971875
transcript.pyannote[1048].end 6863.81909375
transcript.pyannote[1049].speaker SPEAKER_02
transcript.pyannote[1049].start 6864.32534375
transcript.pyannote[1049].end 6906.49596875
transcript.pyannote[1050].speaker SPEAKER_00
transcript.pyannote[1050].start 6875.76659375
transcript.pyannote[1050].end 6876.15471875
transcript.pyannote[1051].speaker SPEAKER_00
transcript.pyannote[1051].start 6893.36721875
transcript.pyannote[1051].end 6893.63721875
transcript.pyannote[1052].speaker SPEAKER_02
transcript.pyannote[1052].start 6907.01909375
transcript.pyannote[1052].end 6914.39346875
transcript.pyannote[1053].speaker SPEAKER_02
transcript.pyannote[1053].start 6914.83221875
transcript.pyannote[1053].end 6939.85784375
transcript.pyannote[1054].speaker SPEAKER_19
transcript.pyannote[1054].start 6940.16159375
transcript.pyannote[1054].end 6963.97221875
transcript.pyannote[1055].speaker SPEAKER_28
transcript.pyannote[1055].start 6962.79096875
transcript.pyannote[1055].end 6963.16221875
transcript.pyannote[1056].speaker SPEAKER_28
transcript.pyannote[1056].start 6964.34346875
transcript.pyannote[1056].end 6965.38971875
transcript.pyannote[1057].speaker SPEAKER_28
transcript.pyannote[1057].start 6965.96346875
transcript.pyannote[1057].end 6969.57471875
transcript.pyannote[1058].speaker SPEAKER_22
transcript.pyannote[1058].start 7000.50659375
transcript.pyannote[1058].end 7000.62471875
transcript.pyannote[1059].speaker SPEAKER_22
transcript.pyannote[1059].start 7000.65846875
transcript.pyannote[1059].end 7000.89471875
transcript.pyannote[1060].speaker SPEAKER_22
transcript.pyannote[1060].start 7020.33471875
transcript.pyannote[1060].end 7021.90409375
transcript.pyannote[1061].speaker SPEAKER_22
transcript.pyannote[1061].start 7021.97159375
transcript.pyannote[1061].end 7022.03909375
transcript.pyannote[1062].speaker SPEAKER_22
transcript.pyannote[1062].start 7022.78159375
transcript.pyannote[1062].end 7027.33784375
transcript.pyannote[1063].speaker SPEAKER_22
transcript.pyannote[1063].start 7030.10534375
transcript.pyannote[1063].end 7039.72409375
transcript.pyannote[1064].speaker SPEAKER_22
transcript.pyannote[1064].start 7455.08534375
transcript.pyannote[1064].end 7455.13596875
transcript.pyannote[1065].speaker SPEAKER_08
transcript.pyannote[1065].start 7455.13596875
transcript.pyannote[1065].end 7455.27096875
transcript.pyannote[1066].speaker SPEAKER_22
transcript.pyannote[1066].start 7455.27096875
transcript.pyannote[1066].end 7455.40596875
transcript.pyannote[1067].speaker SPEAKER_08
transcript.pyannote[1067].start 7455.91221875
transcript.pyannote[1067].end 7456.03034375
transcript.pyannote[1068].speaker SPEAKER_22
transcript.pyannote[1068].start 7489.96596875
transcript.pyannote[1068].end 7490.03346875
transcript.pyannote[1069].speaker SPEAKER_28
transcript.pyannote[1069].start 7733.55659375
transcript.pyannote[1069].end 7738.75409375
transcript.pyannote[1070].speaker SPEAKER_28
transcript.pyannote[1070].start 7739.15909375
transcript.pyannote[1070].end 7741.80846875
transcript.pyannote[1071].speaker SPEAKER_21
transcript.pyannote[1071].start 7752.60846875
transcript.pyannote[1071].end 7755.73034375
transcript.pyannote[1072].speaker SPEAKER_28
transcript.pyannote[1072].start 7755.73034375
transcript.pyannote[1072].end 7756.87784375
transcript.pyannote[1073].speaker SPEAKER_02
transcript.pyannote[1073].start 7764.15096875
transcript.pyannote[1073].end 7765.06221875
transcript.pyannote[1074].speaker SPEAKER_21
transcript.pyannote[1074].start 7765.01159375
transcript.pyannote[1074].end 7769.07846875
transcript.pyannote[1075].speaker SPEAKER_21
transcript.pyannote[1075].start 7769.38221875
transcript.pyannote[1075].end 7782.10596875
transcript.pyannote[1076].speaker SPEAKER_21
transcript.pyannote[1076].start 7783.13534375
transcript.pyannote[1076].end 7788.02909375
transcript.pyannote[1077].speaker SPEAKER_21
transcript.pyannote[1077].start 7788.53534375
transcript.pyannote[1077].end 7792.65284375
transcript.pyannote[1078].speaker SPEAKER_21
transcript.pyannote[1078].start 7792.85534375
transcript.pyannote[1078].end 7797.71534375
transcript.pyannote[1079].speaker SPEAKER_21
transcript.pyannote[1079].start 7797.85034375
transcript.pyannote[1079].end 7801.02284375
transcript.pyannote[1080].speaker SPEAKER_21
transcript.pyannote[1080].start 7801.22534375
transcript.pyannote[1080].end 7808.19471875
transcript.pyannote[1081].speaker SPEAKER_21
transcript.pyannote[1081].start 7808.31284375
transcript.pyannote[1081].end 7816.10909375
transcript.pyannote[1082].speaker SPEAKER_21
transcript.pyannote[1082].start 7816.51409375
transcript.pyannote[1082].end 7835.27909375
transcript.pyannote[1083].speaker SPEAKER_21
transcript.pyannote[1083].start 7835.68409375
transcript.pyannote[1083].end 7838.90721875
transcript.pyannote[1084].speaker SPEAKER_21
transcript.pyannote[1084].start 7839.22784375
transcript.pyannote[1084].end 7840.78034375
transcript.pyannote[1085].speaker SPEAKER_21
transcript.pyannote[1085].start 7841.25284375
transcript.pyannote[1085].end 7885.68471875
transcript.pyannote[1086].speaker SPEAKER_21
transcript.pyannote[1086].start 7886.12346875
transcript.pyannote[1086].end 7905.96846875
transcript.pyannote[1087].speaker SPEAKER_21
transcript.pyannote[1087].start 7906.45784375
transcript.pyannote[1087].end 7941.49034375
transcript.pyannote[1088].speaker SPEAKER_21
transcript.pyannote[1088].start 7941.87846875
transcript.pyannote[1088].end 7943.14409375
transcript.pyannote[1089].speaker SPEAKER_21
transcript.pyannote[1089].start 7943.85284375
transcript.pyannote[1089].end 7947.97034375
transcript.pyannote[1090].speaker SPEAKER_21
transcript.pyannote[1090].start 7948.34159375
transcript.pyannote[1090].end 7997.88659375
transcript.pyannote[1091].speaker SPEAKER_21
transcript.pyannote[1091].start 7998.22409375
transcript.pyannote[1091].end 8003.40471875
transcript.pyannote[1092].speaker SPEAKER_21
transcript.pyannote[1092].start 8003.91096875
transcript.pyannote[1092].end 8011.52159375
transcript.pyannote[1093].speaker SPEAKER_21
transcript.pyannote[1093].start 8011.79159375
transcript.pyannote[1093].end 8020.56659375
transcript.pyannote[1094].speaker SPEAKER_02
transcript.pyannote[1094].start 8021.78159375
transcript.pyannote[1094].end 8026.20284375
transcript.pyannote[1095].speaker SPEAKER_02
transcript.pyannote[1095].start 8026.79346875
transcript.pyannote[1095].end 8031.95721875
transcript.pyannote[1096].speaker SPEAKER_00
transcript.pyannote[1096].start 8029.17284375
transcript.pyannote[1096].end 8029.20659375
transcript.pyannote[1097].speaker SPEAKER_21
transcript.pyannote[1097].start 8029.20659375
transcript.pyannote[1097].end 8029.42596875
transcript.pyannote[1098].speaker SPEAKER_00
transcript.pyannote[1098].start 8029.42596875
transcript.pyannote[1098].end 8029.59471875
transcript.pyannote[1099].speaker SPEAKER_02
transcript.pyannote[1099].start 8032.32846875
transcript.pyannote[1099].end 8038.42034375
transcript.pyannote[1100].speaker SPEAKER_02
transcript.pyannote[1100].start 8039.14596875
transcript.pyannote[1100].end 8041.47471875
transcript.pyannote[1101].speaker SPEAKER_02
transcript.pyannote[1101].start 8042.04846875
transcript.pyannote[1101].end 8044.69784375
transcript.pyannote[1102].speaker SPEAKER_02
transcript.pyannote[1102].start 8045.18721875
transcript.pyannote[1102].end 8045.72721875
transcript.pyannote[1103].speaker SPEAKER_02
transcript.pyannote[1103].start 8046.31784375
transcript.pyannote[1103].end 8052.22409375
transcript.pyannote[1104].speaker SPEAKER_02
transcript.pyannote[1104].start 8053.05096875
transcript.pyannote[1104].end 8059.68284375
transcript.pyannote[1105].speaker SPEAKER_02
transcript.pyannote[1105].start 8059.96971875
transcript.pyannote[1105].end 8061.45471875
transcript.pyannote[1106].speaker SPEAKER_02
transcript.pyannote[1106].start 8061.79221875
transcript.pyannote[1106].end 8063.71596875
transcript.pyannote[1107].speaker SPEAKER_02
transcript.pyannote[1107].start 8064.28971875
transcript.pyannote[1107].end 8067.73221875
transcript.pyannote[1108].speaker SPEAKER_02
transcript.pyannote[1108].start 8068.17096875
transcript.pyannote[1108].end 8069.47034375
transcript.pyannote[1109].speaker SPEAKER_02
transcript.pyannote[1109].start 8069.85846875
transcript.pyannote[1109].end 8073.03096875
transcript.pyannote[1110].speaker SPEAKER_02
transcript.pyannote[1110].start 8073.23346875
transcript.pyannote[1110].end 8079.05534375
transcript.pyannote[1111].speaker SPEAKER_00
transcript.pyannote[1111].start 8075.14034375
transcript.pyannote[1111].end 8075.44409375
transcript.pyannote[1112].speaker SPEAKER_00
transcript.pyannote[1112].start 8076.86159375
transcript.pyannote[1112].end 8077.21596875
transcript.pyannote[1113].speaker SPEAKER_00
transcript.pyannote[1113].start 8077.51971875
transcript.pyannote[1113].end 8077.60409375
transcript.pyannote[1114].speaker SPEAKER_22
transcript.pyannote[1114].start 8077.60409375
transcript.pyannote[1114].end 8078.07659375
transcript.pyannote[1115].speaker SPEAKER_02
transcript.pyannote[1115].start 8079.15659375
transcript.pyannote[1115].end 8081.08034375
transcript.pyannote[1116].speaker SPEAKER_02
transcript.pyannote[1116].start 8081.33346875
transcript.pyannote[1116].end 8083.37534375
transcript.pyannote[1117].speaker SPEAKER_02
transcript.pyannote[1117].start 8083.94909375
transcript.pyannote[1117].end 8084.69159375
transcript.pyannote[1118].speaker SPEAKER_02
transcript.pyannote[1118].start 8085.06284375
transcript.pyannote[1118].end 8090.42909375
transcript.pyannote[1119].speaker SPEAKER_22
transcript.pyannote[1119].start 8090.10846875
transcript.pyannote[1119].end 8090.51346875
transcript.pyannote[1120].speaker SPEAKER_22
transcript.pyannote[1120].start 8090.74971875
transcript.pyannote[1120].end 8092.08284375
transcript.pyannote[1121].speaker SPEAKER_02
transcript.pyannote[1121].start 8090.83409375
transcript.pyannote[1121].end 8092.43721875
transcript.pyannote[1122].speaker SPEAKER_02
transcript.pyannote[1122].start 8092.87596875
transcript.pyannote[1122].end 8102.79846875
transcript.pyannote[1123].speaker SPEAKER_22
transcript.pyannote[1123].start 8093.01096875
transcript.pyannote[1123].end 8093.31471875
transcript.pyannote[1124].speaker SPEAKER_21
transcript.pyannote[1124].start 8097.66846875
transcript.pyannote[1124].end 8097.98909375
transcript.pyannote[1125].speaker SPEAKER_21
transcript.pyannote[1125].start 8102.08971875
transcript.pyannote[1125].end 8135.28284375
transcript.pyannote[1126].speaker SPEAKER_21
transcript.pyannote[1126].start 8135.56971875
transcript.pyannote[1126].end 8139.19784375
transcript.pyannote[1127].speaker SPEAKER_02
transcript.pyannote[1127].start 8140.42971875
transcript.pyannote[1127].end 8146.21784375
transcript.pyannote[1128].speaker SPEAKER_21
transcript.pyannote[1128].start 8144.49659375
transcript.pyannote[1128].end 8147.78721875
transcript.pyannote[1129].speaker SPEAKER_02
transcript.pyannote[1129].start 8148.20909375
transcript.pyannote[1129].end 8151.31409375
transcript.pyannote[1130].speaker SPEAKER_02
transcript.pyannote[1130].start 8151.66846875
transcript.pyannote[1130].end 8158.09784375
transcript.pyannote[1131].speaker SPEAKER_21
transcript.pyannote[1131].start 8155.80284375
transcript.pyannote[1131].end 8156.19096875
transcript.pyannote[1132].speaker SPEAKER_21
transcript.pyannote[1132].start 8156.89971875
transcript.pyannote[1132].end 8162.08034375
transcript.pyannote[1133].speaker SPEAKER_21
transcript.pyannote[1133].start 8162.09721875
transcript.pyannote[1133].end 8162.16471875
transcript.pyannote[1134].speaker SPEAKER_21
transcript.pyannote[1134].start 8162.46846875
transcript.pyannote[1134].end 8179.76534375
transcript.pyannote[1135].speaker SPEAKER_21
transcript.pyannote[1135].start 8180.42346875
transcript.pyannote[1135].end 8181.60471875
transcript.pyannote[1136].speaker SPEAKER_02
transcript.pyannote[1136].start 8182.58346875
transcript.pyannote[1136].end 8189.80596875
transcript.pyannote[1137].speaker SPEAKER_02
transcript.pyannote[1137].start 8190.37971875
transcript.pyannote[1137].end 8193.38346875
transcript.pyannote[1138].speaker SPEAKER_02
transcript.pyannote[1138].start 8193.60284375
transcript.pyannote[1138].end 8198.31096875
transcript.pyannote[1139].speaker SPEAKER_21
transcript.pyannote[1139].start 8198.31096875
transcript.pyannote[1139].end 8207.40659375
transcript.pyannote[1140].speaker SPEAKER_21
transcript.pyannote[1140].start 8208.01409375
transcript.pyannote[1140].end 8208.09846875
transcript.pyannote[1141].speaker SPEAKER_02
transcript.pyannote[1141].start 8208.09846875
transcript.pyannote[1141].end 8208.13221875
transcript.pyannote[1142].speaker SPEAKER_21
transcript.pyannote[1142].start 8208.13221875
transcript.pyannote[1142].end 8208.40221875
transcript.pyannote[1143].speaker SPEAKER_02
transcript.pyannote[1143].start 8208.40221875
transcript.pyannote[1143].end 8208.65534375
transcript.pyannote[1144].speaker SPEAKER_21
transcript.pyannote[1144].start 8208.65534375
transcript.pyannote[1144].end 8217.68346875
transcript.pyannote[1145].speaker SPEAKER_02
transcript.pyannote[1145].start 8208.73971875
transcript.pyannote[1145].end 8210.00534375
transcript.pyannote[1146].speaker SPEAKER_21
transcript.pyannote[1146].start 8218.17284375
transcript.pyannote[1146].end 8221.78409375
transcript.pyannote[1147].speaker SPEAKER_21
transcript.pyannote[1147].start 8222.66159375
transcript.pyannote[1147].end 8232.48284375
transcript.pyannote[1148].speaker SPEAKER_21
transcript.pyannote[1148].start 8233.12409375
transcript.pyannote[1148].end 8256.00659375
transcript.pyannote[1149].speaker SPEAKER_21
transcript.pyannote[1149].start 8256.47909375
transcript.pyannote[1149].end 8259.49971875
transcript.pyannote[1150].speaker SPEAKER_21
transcript.pyannote[1150].start 8259.82034375
transcript.pyannote[1150].end 8261.13659375
transcript.pyannote[1151].speaker SPEAKER_21
transcript.pyannote[1151].start 8261.89596875
transcript.pyannote[1151].end 8274.26534375
transcript.pyannote[1152].speaker SPEAKER_02
transcript.pyannote[1152].start 8274.26534375
transcript.pyannote[1152].end 8275.22721875
transcript.pyannote[1153].speaker SPEAKER_21
transcript.pyannote[1153].start 8275.22721875
transcript.pyannote[1153].end 8292.30471875
transcript.pyannote[1154].speaker SPEAKER_21
transcript.pyannote[1154].start 8292.69284375
transcript.pyannote[1154].end 8295.12284375
transcript.pyannote[1155].speaker SPEAKER_21
transcript.pyannote[1155].start 8295.39284375
transcript.pyannote[1155].end 8299.42596875
transcript.pyannote[1156].speaker SPEAKER_21
transcript.pyannote[1156].start 8299.83096875
transcript.pyannote[1156].end 8324.77221875
transcript.pyannote[1157].speaker SPEAKER_21
transcript.pyannote[1157].start 8325.27846875
transcript.pyannote[1157].end 8342.74409375
transcript.pyannote[1158].speaker SPEAKER_02
transcript.pyannote[1158].start 8343.46971875
transcript.pyannote[1158].end 8346.49034375
transcript.pyannote[1159].speaker SPEAKER_02
transcript.pyannote[1159].start 8347.21596875
transcript.pyannote[1159].end 8347.94159375
transcript.pyannote[1160].speaker SPEAKER_02
transcript.pyannote[1160].start 8348.73471875
transcript.pyannote[1160].end 8351.23221875
transcript.pyannote[1161].speaker SPEAKER_02
transcript.pyannote[1161].start 8351.80596875
transcript.pyannote[1161].end 8353.93221875
transcript.pyannote[1162].speaker SPEAKER_02
transcript.pyannote[1162].start 8354.69159375
transcript.pyannote[1162].end 8355.87284375
transcript.pyannote[1163].speaker SPEAKER_02
transcript.pyannote[1163].start 8356.26096875
transcript.pyannote[1163].end 8361.77909375
transcript.pyannote[1164].speaker SPEAKER_02
transcript.pyannote[1164].start 8361.94784375
transcript.pyannote[1164].end 8363.44971875
transcript.pyannote[1165].speaker SPEAKER_02
transcript.pyannote[1165].start 8363.58471875
transcript.pyannote[1165].end 8366.41971875
transcript.pyannote[1166].speaker SPEAKER_02
transcript.pyannote[1166].start 8366.68971875
transcript.pyannote[1166].end 8368.27596875
transcript.pyannote[1167].speaker SPEAKER_02
transcript.pyannote[1167].start 8368.84971875
transcript.pyannote[1167].end 8375.51534375
transcript.pyannote[1168].speaker SPEAKER_21
transcript.pyannote[1168].start 8373.22034375
transcript.pyannote[1168].end 8373.54096875
transcript.pyannote[1169].speaker SPEAKER_21
transcript.pyannote[1169].start 8374.24971875
transcript.pyannote[1169].end 8382.21471875
transcript.pyannote[1170].speaker SPEAKER_21
transcript.pyannote[1170].start 8382.60284375
transcript.pyannote[1170].end 8384.34096875
transcript.pyannote[1171].speaker SPEAKER_28
transcript.pyannote[1171].start 8384.39159375
transcript.pyannote[1171].end 8390.88846875
transcript.pyannote[1172].speaker SPEAKER_16
transcript.pyannote[1172].start 8401.43534375
transcript.pyannote[1172].end 8404.94534375
transcript.pyannote[1173].speaker SPEAKER_28
transcript.pyannote[1173].start 8404.94534375
transcript.pyannote[1173].end 8405.87346875
transcript.pyannote[1174].speaker SPEAKER_02
transcript.pyannote[1174].start 8411.99909375
transcript.pyannote[1174].end 8412.77534375
transcript.pyannote[1175].speaker SPEAKER_16
transcript.pyannote[1175].start 8412.77534375
transcript.pyannote[1175].end 8438.45909375
transcript.pyannote[1176].speaker SPEAKER_16
transcript.pyannote[1176].start 8439.03284375
transcript.pyannote[1176].end 8444.53409375
transcript.pyannote[1177].speaker SPEAKER_16
transcript.pyannote[1177].start 8444.60159375
transcript.pyannote[1177].end 8464.02471875
transcript.pyannote[1178].speaker SPEAKER_16
transcript.pyannote[1178].start 8464.68284375
transcript.pyannote[1178].end 8466.85971875
transcript.pyannote[1179].speaker SPEAKER_16
transcript.pyannote[1179].start 8467.50096875
transcript.pyannote[1179].end 8472.09096875
transcript.pyannote[1180].speaker SPEAKER_16
transcript.pyannote[1180].start 8472.47909375
transcript.pyannote[1180].end 8472.85034375
transcript.pyannote[1181].speaker SPEAKER_16
transcript.pyannote[1181].start 8473.28909375
transcript.pyannote[1181].end 8480.19096875
transcript.pyannote[1182].speaker SPEAKER_16
transcript.pyannote[1182].start 8480.64659375
transcript.pyannote[1182].end 8485.50659375
transcript.pyannote[1183].speaker SPEAKER_16
transcript.pyannote[1183].start 8485.59096875
transcript.pyannote[1183].end 8491.10909375
transcript.pyannote[1184].speaker SPEAKER_16
transcript.pyannote[1184].start 8491.88534375
transcript.pyannote[1184].end 8491.91909375
transcript.pyannote[1185].speaker SPEAKER_02
transcript.pyannote[1185].start 8491.91909375
transcript.pyannote[1185].end 8493.13409375
transcript.pyannote[1186].speaker SPEAKER_02
transcript.pyannote[1186].start 8493.37034375
transcript.pyannote[1186].end 8496.17159375
transcript.pyannote[1187].speaker SPEAKER_02
transcript.pyannote[1187].start 8496.30659375
transcript.pyannote[1187].end 8505.48659375
transcript.pyannote[1188].speaker SPEAKER_16
transcript.pyannote[1188].start 8498.53409375
transcript.pyannote[1188].end 8498.93909375
transcript.pyannote[1189].speaker SPEAKER_02
transcript.pyannote[1189].start 8505.68909375
transcript.pyannote[1189].end 8508.01784375
transcript.pyannote[1190].speaker SPEAKER_02
transcript.pyannote[1190].start 8508.30471875
transcript.pyannote[1190].end 8515.30784375
transcript.pyannote[1191].speaker SPEAKER_02
transcript.pyannote[1191].start 8515.91534375
transcript.pyannote[1191].end 8517.75471875
transcript.pyannote[1192].speaker SPEAKER_02
transcript.pyannote[1192].start 8518.07534375
transcript.pyannote[1192].end 8521.75409375
transcript.pyannote[1193].speaker SPEAKER_02
transcript.pyannote[1193].start 8522.24346875
transcript.pyannote[1193].end 8526.02346875
transcript.pyannote[1194].speaker SPEAKER_02
transcript.pyannote[1194].start 8526.09096875
transcript.pyannote[1194].end 8529.29721875
transcript.pyannote[1195].speaker SPEAKER_02
transcript.pyannote[1195].start 8529.65159375
transcript.pyannote[1195].end 8531.22096875
transcript.pyannote[1196].speaker SPEAKER_02
transcript.pyannote[1196].start 8531.64284375
transcript.pyannote[1196].end 8532.80721875
transcript.pyannote[1197].speaker SPEAKER_02
transcript.pyannote[1197].start 8532.87471875
transcript.pyannote[1197].end 8534.95034375
transcript.pyannote[1198].speaker SPEAKER_02
transcript.pyannote[1198].start 8535.25409375
transcript.pyannote[1198].end 8536.60409375
transcript.pyannote[1199].speaker SPEAKER_02
transcript.pyannote[1199].start 8536.94159375
transcript.pyannote[1199].end 8538.22409375
transcript.pyannote[1200].speaker SPEAKER_02
transcript.pyannote[1200].start 8538.76409375
transcript.pyannote[1200].end 8552.36534375
transcript.pyannote[1201].speaker SPEAKER_00
transcript.pyannote[1201].start 8549.26034375
transcript.pyannote[1201].end 8550.17159375
transcript.pyannote[1202].speaker SPEAKER_02
transcript.pyannote[1202].start 8552.56784375
transcript.pyannote[1202].end 8554.23846875
transcript.pyannote[1203].speaker SPEAKER_02
transcript.pyannote[1203].start 8554.50846875
transcript.pyannote[1203].end 8557.95096875
transcript.pyannote[1204].speaker SPEAKER_02
transcript.pyannote[1204].start 8558.55846875
transcript.pyannote[1204].end 8565.12284375
transcript.pyannote[1205].speaker SPEAKER_02
transcript.pyannote[1205].start 8565.66284375
transcript.pyannote[1205].end 8568.78471875
transcript.pyannote[1206].speaker SPEAKER_02
transcript.pyannote[1206].start 8568.90284375
transcript.pyannote[1206].end 8574.35346875
transcript.pyannote[1207].speaker SPEAKER_16
transcript.pyannote[1207].start 8574.67409375
transcript.pyannote[1207].end 8584.90034375
transcript.pyannote[1208].speaker SPEAKER_16
transcript.pyannote[1208].start 8585.69346875
transcript.pyannote[1208].end 8586.14909375
transcript.pyannote[1209].speaker SPEAKER_16
transcript.pyannote[1209].start 8586.28409375
transcript.pyannote[1209].end 8592.91596875
transcript.pyannote[1210].speaker SPEAKER_16
transcript.pyannote[1210].start 8593.60784375
transcript.pyannote[1210].end 8594.14784375
transcript.pyannote[1211].speaker SPEAKER_16
transcript.pyannote[1211].start 8594.35034375
transcript.pyannote[1211].end 8598.68721875
transcript.pyannote[1212].speaker SPEAKER_16
transcript.pyannote[1212].start 8599.09221875
transcript.pyannote[1212].end 8602.61909375
transcript.pyannote[1213].speaker SPEAKER_16
transcript.pyannote[1213].start 8603.85096875
transcript.pyannote[1213].end 8603.86784375
transcript.pyannote[1214].speaker SPEAKER_02
transcript.pyannote[1214].start 8603.86784375
transcript.pyannote[1214].end 8608.50846875
transcript.pyannote[1215].speaker SPEAKER_02
transcript.pyannote[1215].start 8609.04846875
transcript.pyannote[1215].end 8616.13596875
transcript.pyannote[1216].speaker SPEAKER_02
transcript.pyannote[1216].start 8617.11471875
transcript.pyannote[1216].end 8620.10159375
transcript.pyannote[1217].speaker SPEAKER_02
transcript.pyannote[1217].start 8620.32096875
transcript.pyannote[1217].end 8622.14346875
transcript.pyannote[1218].speaker SPEAKER_02
transcript.pyannote[1218].start 8622.39659375
transcript.pyannote[1218].end 8628.52221875
transcript.pyannote[1219].speaker SPEAKER_02
transcript.pyannote[1219].start 8628.60659375
transcript.pyannote[1219].end 8630.63159375
transcript.pyannote[1220].speaker SPEAKER_02
transcript.pyannote[1220].start 8630.88471875
transcript.pyannote[1220].end 8631.47534375
transcript.pyannote[1221].speaker SPEAKER_02
transcript.pyannote[1221].start 8631.71159375
transcript.pyannote[1221].end 8640.08159375
transcript.pyannote[1222].speaker SPEAKER_22
transcript.pyannote[1222].start 8633.31471875
transcript.pyannote[1222].end 8633.63534375
transcript.pyannote[1223].speaker SPEAKER_02
transcript.pyannote[1223].start 8640.25034375
transcript.pyannote[1223].end 8643.20346875
transcript.pyannote[1224].speaker SPEAKER_02
transcript.pyannote[1224].start 8643.47346875
transcript.pyannote[1224].end 8644.99221875
transcript.pyannote[1225].speaker SPEAKER_02
transcript.pyannote[1225].start 8645.48159375
transcript.pyannote[1225].end 8647.84409375
transcript.pyannote[1226].speaker SPEAKER_02
transcript.pyannote[1226].start 8647.91159375
transcript.pyannote[1226].end 8650.32471875
transcript.pyannote[1227].speaker SPEAKER_02
transcript.pyannote[1227].start 8650.62846875
transcript.pyannote[1227].end 8653.61534375
transcript.pyannote[1228].speaker SPEAKER_02
transcript.pyannote[1228].start 8653.68284375
transcript.pyannote[1228].end 8664.98909375
transcript.pyannote[1229].speaker SPEAKER_16
transcript.pyannote[1229].start 8665.07346875
transcript.pyannote[1229].end 8672.17784375
transcript.pyannote[1230].speaker SPEAKER_16
transcript.pyannote[1230].start 8672.21159375
transcript.pyannote[1230].end 8683.09596875
transcript.pyannote[1231].speaker SPEAKER_16
transcript.pyannote[1231].start 8683.75409375
transcript.pyannote[1231].end 8696.37659375
transcript.pyannote[1232].speaker SPEAKER_16
transcript.pyannote[1232].start 8697.43971875
transcript.pyannote[1232].end 8714.14596875
transcript.pyannote[1233].speaker SPEAKER_16
transcript.pyannote[1233].start 8714.39909375
transcript.pyannote[1233].end 8714.77034375
transcript.pyannote[1234].speaker SPEAKER_02
transcript.pyannote[1234].start 8714.77034375
transcript.pyannote[1234].end 8715.37784375
transcript.pyannote[1235].speaker SPEAKER_16
transcript.pyannote[1235].start 8715.61409375
transcript.pyannote[1235].end 8719.81596875
transcript.pyannote[1236].speaker SPEAKER_16
transcript.pyannote[1236].start 8720.13659375
transcript.pyannote[1236].end 8724.03471875
transcript.pyannote[1237].speaker SPEAKER_16
transcript.pyannote[1237].start 8724.13596875
transcript.pyannote[1237].end 8726.65034375
transcript.pyannote[1238].speaker SPEAKER_16
transcript.pyannote[1238].start 8727.10596875
transcript.pyannote[1238].end 8728.45596875
transcript.pyannote[1239].speaker SPEAKER_16
transcript.pyannote[1239].start 8728.74284375
transcript.pyannote[1239].end 8729.89034375
transcript.pyannote[1240].speaker SPEAKER_16
transcript.pyannote[1240].start 8729.95784375
transcript.pyannote[1240].end 8756.02971875
transcript.pyannote[1241].speaker SPEAKER_02
transcript.pyannote[1241].start 8757.36284375
transcript.pyannote[1241].end 8758.54409375
transcript.pyannote[1242].speaker SPEAKER_16
transcript.pyannote[1242].start 8757.90284375
transcript.pyannote[1242].end 8758.22346875
transcript.pyannote[1243].speaker SPEAKER_05
transcript.pyannote[1243].start 8760.61971875
transcript.pyannote[1243].end 8785.62846875
transcript.pyannote[1244].speaker SPEAKER_05
transcript.pyannote[1244].start 8785.76346875
transcript.pyannote[1244].end 8787.40034375
transcript.pyannote[1245].speaker SPEAKER_05
transcript.pyannote[1245].start 8787.51846875
transcript.pyannote[1245].end 8824.15409375
transcript.pyannote[1246].speaker SPEAKER_16
transcript.pyannote[1246].start 8824.15409375
transcript.pyannote[1246].end 8829.36846875
transcript.pyannote[1247].speaker SPEAKER_16
transcript.pyannote[1247].start 8830.21221875
transcript.pyannote[1247].end 8834.43096875
transcript.pyannote[1248].speaker SPEAKER_16
transcript.pyannote[1248].start 8834.95409375
transcript.pyannote[1248].end 8842.78409375
transcript.pyannote[1249].speaker SPEAKER_16
transcript.pyannote[1249].start 8842.85159375
transcript.pyannote[1249].end 8848.11659375
transcript.pyannote[1250].speaker SPEAKER_16
transcript.pyannote[1250].start 8848.50471875
transcript.pyannote[1250].end 8850.22596875
transcript.pyannote[1251].speaker SPEAKER_16
transcript.pyannote[1251].start 8850.54659375
transcript.pyannote[1251].end 8853.48284375
transcript.pyannote[1252].speaker SPEAKER_16
transcript.pyannote[1252].start 8854.09034375
transcript.pyannote[1252].end 8858.29221875
transcript.pyannote[1253].speaker SPEAKER_16
transcript.pyannote[1253].start 8858.68034375
transcript.pyannote[1253].end 8861.65034375
transcript.pyannote[1254].speaker SPEAKER_05
transcript.pyannote[1254].start 8862.46034375
transcript.pyannote[1254].end 8907.01034375
transcript.pyannote[1255].speaker SPEAKER_16
transcript.pyannote[1255].start 8907.11159375
transcript.pyannote[1255].end 8924.76284375
transcript.pyannote[1256].speaker SPEAKER_02
transcript.pyannote[1256].start 8924.15534375
transcript.pyannote[1256].end 8925.50534375
transcript.pyannote[1257].speaker SPEAKER_16
transcript.pyannote[1257].start 8925.58971875
transcript.pyannote[1257].end 8929.67346875
transcript.pyannote[1258].speaker SPEAKER_16
transcript.pyannote[1258].start 8930.55096875
transcript.pyannote[1258].end 8936.40659375
transcript.pyannote[1259].speaker SPEAKER_02
transcript.pyannote[1259].start 8936.03534375
transcript.pyannote[1259].end 8940.27096875
transcript.pyannote[1260].speaker SPEAKER_16
transcript.pyannote[1260].start 8938.97159375
transcript.pyannote[1260].end 8939.14034375
transcript.pyannote[1261].speaker SPEAKER_02
transcript.pyannote[1261].start 8940.43971875
transcript.pyannote[1261].end 8947.96596875
transcript.pyannote[1262].speaker SPEAKER_16
transcript.pyannote[1262].start 8947.96596875
transcript.pyannote[1262].end 8948.50596875
transcript.pyannote[1263].speaker SPEAKER_16
transcript.pyannote[1263].start 8948.60721875
transcript.pyannote[1263].end 8956.31909375
transcript.pyannote[1264].speaker SPEAKER_02
transcript.pyannote[1264].start 8949.61971875
transcript.pyannote[1264].end 8950.00784375
transcript.pyannote[1265].speaker SPEAKER_16
transcript.pyannote[1265].start 8956.52159375
transcript.pyannote[1265].end 8957.21346875
transcript.pyannote[1266].speaker SPEAKER_16
transcript.pyannote[1266].start 8957.56784375
transcript.pyannote[1266].end 8960.23409375
transcript.pyannote[1267].speaker SPEAKER_16
transcript.pyannote[1267].start 8960.53784375
transcript.pyannote[1267].end 8962.69784375
transcript.pyannote[1268].speaker SPEAKER_22
transcript.pyannote[1268].start 8962.83284375
transcript.pyannote[1268].end 8963.23784375
transcript.pyannote[1269].speaker SPEAKER_16
transcript.pyannote[1269].start 8963.35596875
transcript.pyannote[1269].end 8966.19096875
transcript.pyannote[1270].speaker SPEAKER_16
transcript.pyannote[1270].start 8966.24159375
transcript.pyannote[1270].end 8972.33346875
transcript.pyannote[1271].speaker SPEAKER_02
transcript.pyannote[1271].start 8971.64159375
transcript.pyannote[1271].end 8977.83471875
transcript.pyannote[1272].speaker SPEAKER_02
transcript.pyannote[1272].start 8977.96971875
transcript.pyannote[1272].end 8982.25596875
transcript.pyannote[1273].speaker SPEAKER_02
transcript.pyannote[1273].start 8982.42471875
transcript.pyannote[1273].end 8984.71971875
transcript.pyannote[1274].speaker SPEAKER_02
transcript.pyannote[1274].start 8984.88846875
transcript.pyannote[1274].end 8994.54096875
transcript.pyannote[1275].speaker SPEAKER_02
transcript.pyannote[1275].start 8994.79409375
transcript.pyannote[1275].end 8996.70096875
transcript.pyannote[1276].speaker SPEAKER_02
transcript.pyannote[1276].start 8996.92034375
transcript.pyannote[1276].end 9001.89846875
transcript.pyannote[1277].speaker SPEAKER_16
transcript.pyannote[1277].start 9002.01659375
transcript.pyannote[1277].end 9003.13034375
transcript.pyannote[1278].speaker SPEAKER_28
transcript.pyannote[1278].start 9004.00784375
transcript.pyannote[1278].end 9006.62346875
transcript.pyannote[1279].speaker SPEAKER_28
transcript.pyannote[1279].start 9006.94409375
transcript.pyannote[1279].end 9009.98159375
transcript.pyannote[1280].speaker SPEAKER_04
transcript.pyannote[1280].start 9019.71846875
transcript.pyannote[1280].end 9022.97534375
transcript.pyannote[1281].speaker SPEAKER_04
transcript.pyannote[1281].start 9029.47221875
transcript.pyannote[1281].end 9032.17221875
transcript.pyannote[1282].speaker SPEAKER_04
transcript.pyannote[1282].start 9032.34096875
transcript.pyannote[1282].end 9039.31034375
transcript.pyannote[1283].speaker SPEAKER_04
transcript.pyannote[1283].start 9039.58034375
transcript.pyannote[1283].end 9047.22471875
transcript.pyannote[1284].speaker SPEAKER_02
transcript.pyannote[1284].start 9049.16534375
transcript.pyannote[1284].end 9049.48596875
transcript.pyannote[1285].speaker SPEAKER_04
transcript.pyannote[1285].start 9049.48596875
transcript.pyannote[1285].end 9050.02596875
transcript.pyannote[1286].speaker SPEAKER_02
transcript.pyannote[1286].start 9050.02596875
transcript.pyannote[1286].end 9050.04284375
transcript.pyannote[1287].speaker SPEAKER_04
transcript.pyannote[1287].start 9050.04284375
transcript.pyannote[1287].end 9050.07659375
transcript.pyannote[1288].speaker SPEAKER_02
transcript.pyannote[1288].start 9050.07659375
transcript.pyannote[1288].end 9051.54471875
transcript.pyannote[1289].speaker SPEAKER_02
transcript.pyannote[1289].start 9051.89909375
transcript.pyannote[1289].end 9052.21971875
transcript.pyannote[1290].speaker SPEAKER_02
transcript.pyannote[1290].start 9052.59096875
transcript.pyannote[1290].end 9053.62034375
transcript.pyannote[1291].speaker SPEAKER_02
transcript.pyannote[1291].start 9054.04221875
transcript.pyannote[1291].end 9060.25221875
transcript.pyannote[1292].speaker SPEAKER_02
transcript.pyannote[1292].start 9060.52221875
transcript.pyannote[1292].end 9062.31096875
transcript.pyannote[1293].speaker SPEAKER_02
transcript.pyannote[1293].start 9062.68221875
transcript.pyannote[1293].end 9064.97721875
transcript.pyannote[1294].speaker SPEAKER_02
transcript.pyannote[1294].start 9065.41596875
transcript.pyannote[1294].end 9067.52534375
transcript.pyannote[1295].speaker SPEAKER_04
transcript.pyannote[1295].start 9068.18346875
transcript.pyannote[1295].end 9100.81971875
transcript.pyannote[1296].speaker SPEAKER_02
transcript.pyannote[1296].start 9102.03471875
transcript.pyannote[1296].end 9105.03846875
transcript.pyannote[1297].speaker SPEAKER_02
transcript.pyannote[1297].start 9105.30846875
transcript.pyannote[1297].end 9112.09221875
transcript.pyannote[1298].speaker SPEAKER_02
transcript.pyannote[1298].start 9112.21034375
transcript.pyannote[1298].end 9118.18409375
transcript.pyannote[1299].speaker SPEAKER_02
transcript.pyannote[1299].start 9118.52159375
transcript.pyannote[1299].end 9119.80409375
transcript.pyannote[1300].speaker SPEAKER_02
transcript.pyannote[1300].start 9120.32721875
transcript.pyannote[1300].end 9125.20409375
transcript.pyannote[1301].speaker SPEAKER_02
transcript.pyannote[1301].start 9125.67659375
transcript.pyannote[1301].end 9126.36846875
transcript.pyannote[1302].speaker SPEAKER_02
transcript.pyannote[1302].start 9126.80721875
transcript.pyannote[1302].end 9129.67596875
transcript.pyannote[1303].speaker SPEAKER_02
transcript.pyannote[1303].start 9130.46909375
transcript.pyannote[1303].end 9131.49846875
transcript.pyannote[1304].speaker SPEAKER_02
transcript.pyannote[1304].start 9131.92034375
transcript.pyannote[1304].end 9133.57409375
transcript.pyannote[1305].speaker SPEAKER_02
transcript.pyannote[1305].start 9133.79346875
transcript.pyannote[1305].end 9136.32471875
transcript.pyannote[1306].speaker SPEAKER_02
transcript.pyannote[1306].start 9136.57784375
transcript.pyannote[1306].end 9137.57346875
transcript.pyannote[1307].speaker SPEAKER_02
transcript.pyannote[1307].start 9138.01221875
transcript.pyannote[1307].end 9139.58159375
transcript.pyannote[1308].speaker SPEAKER_02
transcript.pyannote[1308].start 9140.02034375
transcript.pyannote[1308].end 9142.88909375
transcript.pyannote[1309].speaker SPEAKER_02
transcript.pyannote[1309].start 9143.51346875
transcript.pyannote[1309].end 9144.42471875
transcript.pyannote[1310].speaker SPEAKER_02
transcript.pyannote[1310].start 9144.81284375
transcript.pyannote[1310].end 9146.28096875
transcript.pyannote[1311].speaker SPEAKER_02
transcript.pyannote[1311].start 9146.31471875
transcript.pyannote[1311].end 9148.67721875
transcript.pyannote[1312].speaker SPEAKER_04
transcript.pyannote[1312].start 9149.04846875
transcript.pyannote[1312].end 9172.30221875
transcript.pyannote[1313].speaker SPEAKER_02
transcript.pyannote[1313].start 9172.58909375
transcript.pyannote[1313].end 9175.54221875
transcript.pyannote[1314].speaker SPEAKER_02
transcript.pyannote[1314].start 9175.94721875
transcript.pyannote[1314].end 9180.16596875
transcript.pyannote[1315].speaker SPEAKER_02
transcript.pyannote[1315].start 9180.36846875
transcript.pyannote[1315].end 9181.81971875
transcript.pyannote[1316].speaker SPEAKER_02
transcript.pyannote[1316].start 9182.54534375
transcript.pyannote[1316].end 9183.11909375
transcript.pyannote[1317].speaker SPEAKER_02
transcript.pyannote[1317].start 9183.96284375
transcript.pyannote[1317].end 9186.07221875
transcript.pyannote[1318].speaker SPEAKER_04
transcript.pyannote[1318].start 9184.97534375
transcript.pyannote[1318].end 9187.40534375
transcript.pyannote[1319].speaker SPEAKER_02
transcript.pyannote[1319].start 9186.88221875
transcript.pyannote[1319].end 9193.76721875
transcript.pyannote[1320].speaker SPEAKER_02
transcript.pyannote[1320].start 9194.18909375
transcript.pyannote[1320].end 9202.03596875
transcript.pyannote[1321].speaker SPEAKER_04
transcript.pyannote[1321].start 9202.03596875
transcript.pyannote[1321].end 9202.33971875
transcript.pyannote[1322].speaker SPEAKER_04
transcript.pyannote[1322].start 9202.50846875
transcript.pyannote[1322].end 9202.55909375
transcript.pyannote[1323].speaker SPEAKER_02
transcript.pyannote[1323].start 9202.55909375
transcript.pyannote[1323].end 9202.57596875
transcript.pyannote[1324].speaker SPEAKER_04
transcript.pyannote[1324].start 9202.57596875
transcript.pyannote[1324].end 9211.38471875
transcript.pyannote[1325].speaker SPEAKER_04
transcript.pyannote[1325].start 9211.46909375
transcript.pyannote[1325].end 9214.50659375
transcript.pyannote[1326].speaker SPEAKER_02
transcript.pyannote[1326].start 9215.33346875
transcript.pyannote[1326].end 9222.18471875
transcript.pyannote[1327].speaker SPEAKER_02
transcript.pyannote[1327].start 9222.65721875
transcript.pyannote[1327].end 9228.05721875
transcript.pyannote[1328].speaker SPEAKER_02
transcript.pyannote[1328].start 9229.30596875
transcript.pyannote[1328].end 9234.52034375
transcript.pyannote[1329].speaker SPEAKER_02
transcript.pyannote[1329].start 9235.21221875
transcript.pyannote[1329].end 9236.61284375
transcript.pyannote[1330].speaker SPEAKER_02
transcript.pyannote[1330].start 9236.95034375
transcript.pyannote[1330].end 9246.02909375
transcript.pyannote[1331].speaker SPEAKER_04
transcript.pyannote[1331].start 9246.02909375
transcript.pyannote[1331].end 9250.23096875
transcript.pyannote[1332].speaker SPEAKER_04
transcript.pyannote[1332].start 9250.78784375
transcript.pyannote[1332].end 9278.71596875
transcript.pyannote[1333].speaker SPEAKER_02
transcript.pyannote[1333].start 9280.13346875
transcript.pyannote[1333].end 9286.20846875
transcript.pyannote[1334].speaker SPEAKER_02
transcript.pyannote[1334].start 9286.51221875
transcript.pyannote[1334].end 9289.60034375
transcript.pyannote[1335].speaker SPEAKER_02
transcript.pyannote[1335].start 9290.07284375
transcript.pyannote[1335].end 9294.10596875
transcript.pyannote[1336].speaker SPEAKER_02
transcript.pyannote[1336].start 9294.39284375
transcript.pyannote[1336].end 9295.64159375
transcript.pyannote[1337].speaker SPEAKER_02
transcript.pyannote[1337].start 9295.92846875
transcript.pyannote[1337].end 9297.93659375
transcript.pyannote[1338].speaker SPEAKER_02
transcript.pyannote[1338].start 9298.29096875
transcript.pyannote[1338].end 9300.51846875
transcript.pyannote[1339].speaker SPEAKER_02
transcript.pyannote[1339].start 9300.60284375
transcript.pyannote[1339].end 9301.61534375
transcript.pyannote[1340].speaker SPEAKER_02
transcript.pyannote[1340].start 9301.86846875
transcript.pyannote[1340].end 9304.88909375
transcript.pyannote[1341].speaker SPEAKER_02
transcript.pyannote[1341].start 9305.12534375
transcript.pyannote[1341].end 9308.82096875
transcript.pyannote[1342].speaker SPEAKER_02
transcript.pyannote[1342].start 9309.64784375
transcript.pyannote[1342].end 9310.74471875
transcript.pyannote[1343].speaker SPEAKER_04
transcript.pyannote[1343].start 9309.71534375
transcript.pyannote[1343].end 9329.50971875
transcript.pyannote[1344].speaker SPEAKER_02
transcript.pyannote[1344].start 9310.96409375
transcript.pyannote[1344].end 9311.08221875
transcript.pyannote[1345].speaker SPEAKER_04
transcript.pyannote[1345].start 9329.93159375
transcript.pyannote[1345].end 9335.88846875
transcript.pyannote[1346].speaker SPEAKER_04
transcript.pyannote[1346].start 9336.54659375
transcript.pyannote[1346].end 9336.96846875
transcript.pyannote[1347].speaker SPEAKER_02
transcript.pyannote[1347].start 9336.96846875
transcript.pyannote[1347].end 9347.00909375
transcript.pyannote[1348].speaker SPEAKER_02
transcript.pyannote[1348].start 9347.22846875
transcript.pyannote[1348].end 9353.82659375
transcript.pyannote[1349].speaker SPEAKER_02
transcript.pyannote[1349].start 9354.13034375
transcript.pyannote[1349].end 9357.31971875
transcript.pyannote[1350].speaker SPEAKER_02
transcript.pyannote[1350].start 9357.87659375
transcript.pyannote[1350].end 9359.46284375
transcript.pyannote[1351].speaker SPEAKER_02
transcript.pyannote[1351].start 9359.78346875
transcript.pyannote[1351].end 9361.47096875
transcript.pyannote[1352].speaker SPEAKER_02
transcript.pyannote[1352].start 9362.26409375
transcript.pyannote[1352].end 9372.15284375
transcript.pyannote[1353].speaker SPEAKER_02
transcript.pyannote[1353].start 9372.43971875
transcript.pyannote[1353].end 9376.64159375
transcript.pyannote[1354].speaker SPEAKER_02
transcript.pyannote[1354].start 9376.99596875
transcript.pyannote[1354].end 9379.72971875
transcript.pyannote[1355].speaker SPEAKER_02
transcript.pyannote[1355].start 9379.81409375
transcript.pyannote[1355].end 9383.96534375
transcript.pyannote[1356].speaker SPEAKER_02
transcript.pyannote[1356].start 9384.30284375
transcript.pyannote[1356].end 9387.99846875
transcript.pyannote[1357].speaker SPEAKER_02
transcript.pyannote[1357].start 9388.48784375
transcript.pyannote[1357].end 9389.61846875
transcript.pyannote[1358].speaker SPEAKER_02
transcript.pyannote[1358].start 9389.90534375
transcript.pyannote[1358].end 9399.97971875
transcript.pyannote[1359].speaker SPEAKER_02
transcript.pyannote[1359].start 9400.19909375
transcript.pyannote[1359].end 9401.41409375
transcript.pyannote[1360].speaker SPEAKER_02
transcript.pyannote[1360].start 9401.98784375
transcript.pyannote[1360].end 9407.53971875
transcript.pyannote[1361].speaker SPEAKER_04
transcript.pyannote[1361].start 9408.01221875
transcript.pyannote[1361].end 9423.41909375
transcript.pyannote[1362].speaker SPEAKER_04
transcript.pyannote[1362].start 9424.16159375
transcript.pyannote[1362].end 9425.29221875
transcript.pyannote[1363].speaker SPEAKER_02
transcript.pyannote[1363].start 9425.29221875
transcript.pyannote[1363].end 9425.32596875
transcript.pyannote[1364].speaker SPEAKER_04
transcript.pyannote[1364].start 9426.54096875
transcript.pyannote[1364].end 9426.55784375
transcript.pyannote[1365].speaker SPEAKER_02
transcript.pyannote[1365].start 9426.55784375
transcript.pyannote[1365].end 9430.16909375
transcript.pyannote[1366].speaker SPEAKER_02
transcript.pyannote[1366].start 9430.57409375
transcript.pyannote[1366].end 9432.61596875
transcript.pyannote[1367].speaker SPEAKER_02
transcript.pyannote[1367].start 9433.15596875
transcript.pyannote[1367].end 9443.21346875
transcript.pyannote[1368].speaker SPEAKER_02
transcript.pyannote[1368].start 9443.50034375
transcript.pyannote[1368].end 9449.00159375
transcript.pyannote[1369].speaker SPEAKER_02
transcript.pyannote[1369].start 9449.49096875
transcript.pyannote[1369].end 9450.63846875
transcript.pyannote[1370].speaker SPEAKER_02
transcript.pyannote[1370].start 9450.94221875
transcript.pyannote[1370].end 9452.07284375
transcript.pyannote[1371].speaker SPEAKER_02
transcript.pyannote[1371].start 9452.10659375
transcript.pyannote[1371].end 9453.37221875
transcript.pyannote[1372].speaker SPEAKER_02
transcript.pyannote[1372].start 9454.21596875
transcript.pyannote[1372].end 9456.08909375
transcript.pyannote[1373].speaker SPEAKER_02
transcript.pyannote[1373].start 9456.35909375
transcript.pyannote[1373].end 9462.02909375
transcript.pyannote[1374].speaker SPEAKER_02
transcript.pyannote[1374].start 9462.68721875
transcript.pyannote[1374].end 9463.69971875
transcript.pyannote[1375].speaker SPEAKER_02
transcript.pyannote[1375].start 9463.95284375
transcript.pyannote[1375].end 9467.37846875
transcript.pyannote[1376].speaker SPEAKER_02
transcript.pyannote[1376].start 9467.66534375
transcript.pyannote[1376].end 9470.71971875
transcript.pyannote[1377].speaker SPEAKER_02
transcript.pyannote[1377].start 9471.07409375
transcript.pyannote[1377].end 9471.41159375
transcript.pyannote[1378].speaker SPEAKER_02
transcript.pyannote[1378].start 9471.44534375
transcript.pyannote[1378].end 9471.46221875
transcript.pyannote[1379].speaker SPEAKER_02
transcript.pyannote[1379].start 9471.47909375
transcript.pyannote[1379].end 9472.84596875
transcript.pyannote[1380].speaker SPEAKER_02
transcript.pyannote[1380].start 9474.41534375
transcript.pyannote[1380].end 9475.17471875
transcript.pyannote[1381].speaker SPEAKER_02
transcript.pyannote[1381].start 9475.76534375
transcript.pyannote[1381].end 9478.54971875
transcript.pyannote[1382].speaker SPEAKER_22
transcript.pyannote[1382].start 9478.54971875
transcript.pyannote[1382].end 9478.73534375
transcript.pyannote[1383].speaker SPEAKER_02
transcript.pyannote[1383].start 9478.61721875
transcript.pyannote[1383].end 9479.95034375
transcript.pyannote[1384].speaker SPEAKER_02
transcript.pyannote[1384].start 9480.38909375
transcript.pyannote[1384].end 9481.04721875
transcript.pyannote[1385].speaker SPEAKER_02
transcript.pyannote[1385].start 9481.11471875
transcript.pyannote[1385].end 9499.18784375
transcript.pyannote[1386].speaker SPEAKER_02
transcript.pyannote[1386].start 9499.72784375
transcript.pyannote[1386].end 9503.72721875
transcript.pyannote[1387].speaker SPEAKER_02
transcript.pyannote[1387].start 9504.11534375
transcript.pyannote[1387].end 9507.69284375
transcript.pyannote[1388].speaker SPEAKER_02
transcript.pyannote[1388].start 9508.11471875
transcript.pyannote[1388].end 9511.57409375
transcript.pyannote[1389].speaker SPEAKER_02
transcript.pyannote[1389].start 9511.99596875
transcript.pyannote[1389].end 9514.86471875
transcript.pyannote[1390].speaker SPEAKER_02
transcript.pyannote[1390].start 9514.96596875
transcript.pyannote[1390].end 9531.21659375
transcript.pyannote[1391].speaker SPEAKER_02
transcript.pyannote[1391].start 9531.46971875
transcript.pyannote[1391].end 9536.31284375
transcript.pyannote[1392].speaker SPEAKER_02
transcript.pyannote[1392].start 9536.49846875
transcript.pyannote[1392].end 9540.22784375
transcript.pyannote[1393].speaker SPEAKER_02
transcript.pyannote[1393].start 9540.78471875
transcript.pyannote[1393].end 9551.12909375
transcript.pyannote[1394].speaker SPEAKER_02
transcript.pyannote[1394].start 9551.29784375
transcript.pyannote[1394].end 9552.69846875
transcript.pyannote[1395].speaker SPEAKER_02
transcript.pyannote[1395].start 9553.01909375
transcript.pyannote[1395].end 9553.17096875
transcript.pyannote[1396].speaker SPEAKER_04
transcript.pyannote[1396].start 9553.17096875
transcript.pyannote[1396].end 9553.20471875
transcript.pyannote[1397].speaker SPEAKER_04
transcript.pyannote[1397].start 9553.22159375
transcript.pyannote[1397].end 9562.70534375
transcript.pyannote[1398].speaker SPEAKER_04
transcript.pyannote[1398].start 9563.07659375
transcript.pyannote[1398].end 9572.07096875
transcript.pyannote[1399].speaker SPEAKER_04
transcript.pyannote[1399].start 9572.93159375
transcript.pyannote[1399].end 9574.55159375
transcript.pyannote[1400].speaker SPEAKER_02
transcript.pyannote[1400].start 9574.55159375
transcript.pyannote[1400].end 9574.56846875
transcript.pyannote[1401].speaker SPEAKER_02
transcript.pyannote[1401].start 9576.08721875
transcript.pyannote[1401].end 9588.97971875
transcript.pyannote[1402].speaker SPEAKER_02
transcript.pyannote[1402].start 9589.89096875
transcript.pyannote[1402].end 9597.78846875
transcript.pyannote[1403].speaker SPEAKER_02
transcript.pyannote[1403].start 9599.08784375
transcript.pyannote[1403].end 9600.26909375
transcript.pyannote[1404].speaker SPEAKER_04
transcript.pyannote[1404].start 9600.79221875
transcript.pyannote[1404].end 9612.18284375
transcript.pyannote[1405].speaker SPEAKER_28
transcript.pyannote[1405].start 9612.82409375
transcript.pyannote[1405].end 9619.86096875
transcript.pyannote[1406].speaker SPEAKER_15
transcript.pyannote[1406].start 9629.90159375
transcript.pyannote[1406].end 9633.20909375
transcript.pyannote[1407].speaker SPEAKER_02
transcript.pyannote[1407].start 9639.23346875
transcript.pyannote[1407].end 9639.84096875
transcript.pyannote[1408].speaker SPEAKER_15
transcript.pyannote[1408].start 9639.84096875
transcript.pyannote[1408].end 9673.20284375
transcript.pyannote[1409].speaker SPEAKER_15
transcript.pyannote[1409].start 9673.43909375
transcript.pyannote[1409].end 9675.19409375
transcript.pyannote[1410].speaker SPEAKER_02
transcript.pyannote[1410].start 9677.84346875
transcript.pyannote[1410].end 9681.85971875
transcript.pyannote[1411].speaker SPEAKER_15
transcript.pyannote[1411].start 9680.45909375
transcript.pyannote[1411].end 9682.65284375
transcript.pyannote[1412].speaker SPEAKER_06
transcript.pyannote[1412].start 9685.90971875
transcript.pyannote[1412].end 9687.04034375
transcript.pyannote[1413].speaker SPEAKER_06
transcript.pyannote[1413].start 9689.09909375
transcript.pyannote[1413].end 9717.87096875
transcript.pyannote[1414].speaker SPEAKER_15
transcript.pyannote[1414].start 9717.46596875
transcript.pyannote[1414].end 9735.20159375
transcript.pyannote[1415].speaker SPEAKER_06
transcript.pyannote[1415].start 9734.13846875
transcript.pyannote[1415].end 9740.58471875
transcript.pyannote[1416].speaker SPEAKER_15
transcript.pyannote[1416].start 9740.58471875
transcript.pyannote[1416].end 9773.01846875
transcript.pyannote[1417].speaker SPEAKER_15
transcript.pyannote[1417].start 9773.47409375
transcript.pyannote[1417].end 9803.84909375
transcript.pyannote[1418].speaker SPEAKER_02
transcript.pyannote[1418].start 9804.86159375
transcript.pyannote[1418].end 9805.28346875
transcript.pyannote[1419].speaker SPEAKER_02
transcript.pyannote[1419].start 9805.55346875
transcript.pyannote[1419].end 9811.64534375
transcript.pyannote[1420].speaker SPEAKER_15
transcript.pyannote[1420].start 9811.20659375
transcript.pyannote[1420].end 9814.96971875
transcript.pyannote[1421].speaker SPEAKER_02
transcript.pyannote[1421].start 9812.43846875
transcript.pyannote[1421].end 9817.43346875
transcript.pyannote[1422].speaker SPEAKER_02
transcript.pyannote[1422].start 9817.77096875
transcript.pyannote[1422].end 9827.87909375
transcript.pyannote[1423].speaker SPEAKER_15
transcript.pyannote[1423].start 9823.05284375
transcript.pyannote[1423].end 9823.96409375
transcript.pyannote[1424].speaker SPEAKER_15
transcript.pyannote[1424].start 9826.00596875
transcript.pyannote[1424].end 9826.95096875
transcript.pyannote[1425].speaker SPEAKER_02
transcript.pyannote[1425].start 9828.38534375
transcript.pyannote[1425].end 9829.65096875
transcript.pyannote[1426].speaker SPEAKER_02
transcript.pyannote[1426].start 9830.22471875
transcript.pyannote[1426].end 9831.67596875
transcript.pyannote[1427].speaker SPEAKER_02
transcript.pyannote[1427].start 9831.97971875
transcript.pyannote[1427].end 9832.31721875
transcript.pyannote[1428].speaker SPEAKER_02
transcript.pyannote[1428].start 9832.92471875
transcript.pyannote[1428].end 9837.78471875
transcript.pyannote[1429].speaker SPEAKER_15
transcript.pyannote[1429].start 9834.32534375
transcript.pyannote[1429].end 9835.48971875
transcript.pyannote[1430].speaker SPEAKER_15
transcript.pyannote[1430].start 9837.71721875
transcript.pyannote[1430].end 9843.52221875
transcript.pyannote[1431].speaker SPEAKER_15
transcript.pyannote[1431].start 9844.12971875
transcript.pyannote[1431].end 9856.07721875
transcript.pyannote[1432].speaker SPEAKER_02
transcript.pyannote[1432].start 9857.29221875
transcript.pyannote[1432].end 9874.84221875
transcript.pyannote[1433].speaker SPEAKER_15
transcript.pyannote[1433].start 9874.03221875
transcript.pyannote[1433].end 9876.02346875
transcript.pyannote[1434].speaker SPEAKER_02
transcript.pyannote[1434].start 9876.42846875
transcript.pyannote[1434].end 9876.69846875
transcript.pyannote[1435].speaker SPEAKER_15
transcript.pyannote[1435].start 9876.69846875
transcript.pyannote[1435].end 9876.85034375
transcript.pyannote[1436].speaker SPEAKER_02
transcript.pyannote[1436].start 9876.85034375
transcript.pyannote[1436].end 9878.16659375
transcript.pyannote[1437].speaker SPEAKER_15
transcript.pyannote[1437].start 9877.62659375
transcript.pyannote[1437].end 9884.83221875
transcript.pyannote[1438].speaker SPEAKER_02
transcript.pyannote[1438].start 9880.07346875
transcript.pyannote[1438].end 9881.40659375
transcript.pyannote[1439].speaker SPEAKER_02
transcript.pyannote[1439].start 9884.37659375
transcript.pyannote[1439].end 9886.57034375
transcript.pyannote[1440].speaker SPEAKER_15
transcript.pyannote[1440].start 9886.57034375
transcript.pyannote[1440].end 9886.62096875
transcript.pyannote[1441].speaker SPEAKER_15
transcript.pyannote[1441].start 9886.63784375
transcript.pyannote[1441].end 9913.65471875
transcript.pyannote[1442].speaker SPEAKER_15
transcript.pyannote[1442].start 9914.24534375
transcript.pyannote[1442].end 9928.62284375
transcript.pyannote[1443].speaker SPEAKER_05
transcript.pyannote[1443].start 9930.66471875
transcript.pyannote[1443].end 9932.90909375
transcript.pyannote[1444].speaker SPEAKER_15
transcript.pyannote[1444].start 9931.93034375
transcript.pyannote[1444].end 9931.96409375
transcript.pyannote[1445].speaker SPEAKER_15
transcript.pyannote[1445].start 9931.99784375
transcript.pyannote[1445].end 9932.08221875
transcript.pyannote[1446].speaker SPEAKER_15
transcript.pyannote[1446].start 9932.80784375
transcript.pyannote[1446].end 9936.72284375
transcript.pyannote[1447].speaker SPEAKER_05
transcript.pyannote[1447].start 9934.19159375
transcript.pyannote[1447].end 9934.69784375
transcript.pyannote[1448].speaker SPEAKER_05
transcript.pyannote[1448].start 9936.23346875
transcript.pyannote[1448].end 9941.44784375
transcript.pyannote[1449].speaker SPEAKER_15
transcript.pyannote[1449].start 9939.87846875
transcript.pyannote[1449].end 9963.43596875
transcript.pyannote[1450].speaker SPEAKER_15
transcript.pyannote[1450].start 9967.01346875
transcript.pyannote[1450].end 9973.91534375
transcript.pyannote[1451].speaker SPEAKER_15
transcript.pyannote[1451].start 9974.91096875
transcript.pyannote[1451].end 9978.87659375
transcript.pyannote[1452].speaker SPEAKER_15
transcript.pyannote[1452].start 9979.92284375
transcript.pyannote[1452].end 9992.91659375
transcript.pyannote[1453].speaker SPEAKER_15
transcript.pyannote[1453].start 9993.77721875
transcript.pyannote[1453].end 9995.02596875
transcript.pyannote[1454].speaker SPEAKER_05
transcript.pyannote[1454].start 9995.59971875
transcript.pyannote[1454].end 10001.11784375
transcript.pyannote[1455].speaker SPEAKER_15
transcript.pyannote[1455].start 9995.97096875
transcript.pyannote[1455].end 9996.73034375
transcript.pyannote[1456].speaker SPEAKER_15
transcript.pyannote[1456].start 10000.40909375
transcript.pyannote[1456].end 10012.45784375
transcript.pyannote[1457].speaker SPEAKER_15
transcript.pyannote[1457].start 10012.89659375
transcript.pyannote[1457].end 10017.73971875
transcript.pyannote[1458].speaker SPEAKER_15
transcript.pyannote[1458].start 10018.44846875
transcript.pyannote[1458].end 10019.42721875
transcript.pyannote[1459].speaker SPEAKER_02
transcript.pyannote[1459].start 10021.75596875
transcript.pyannote[1459].end 10025.78909375
transcript.pyannote[1460].speaker SPEAKER_15
transcript.pyannote[1460].start 10023.73034375
transcript.pyannote[1460].end 10025.46846875
transcript.pyannote[1461].speaker SPEAKER_15
transcript.pyannote[1461].start 10025.70471875
transcript.pyannote[1461].end 10025.72159375
transcript.pyannote[1462].speaker SPEAKER_15
transcript.pyannote[1462].start 10025.73846875
transcript.pyannote[1462].end 10029.19784375
transcript.pyannote[1463].speaker SPEAKER_02
transcript.pyannote[1463].start 10028.03346875
transcript.pyannote[1463].end 10029.31596875
transcript.pyannote[1464].speaker SPEAKER_02
transcript.pyannote[1464].start 10029.61971875
transcript.pyannote[1464].end 10031.86409375
transcript.pyannote[1465].speaker SPEAKER_15
transcript.pyannote[1465].start 10031.42534375
transcript.pyannote[1465].end 10031.77971875
transcript.pyannote[1466].speaker SPEAKER_02
transcript.pyannote[1466].start 10032.25221875
transcript.pyannote[1466].end 10041.80346875
transcript.pyannote[1467].speaker SPEAKER_15
transcript.pyannote[1467].start 10035.32346875
transcript.pyannote[1467].end 10037.88846875
transcript.pyannote[1468].speaker SPEAKER_15
transcript.pyannote[1468].start 10039.01909375
transcript.pyannote[1468].end 10040.60534375
transcript.pyannote[1469].speaker SPEAKER_15
transcript.pyannote[1469].start 10041.80346875
transcript.pyannote[1469].end 10048.51971875
transcript.pyannote[1470].speaker SPEAKER_02
transcript.pyannote[1470].start 10047.42284375
transcript.pyannote[1470].end 10058.25659375
transcript.pyannote[1471].speaker SPEAKER_15
transcript.pyannote[1471].start 10050.78096875
transcript.pyannote[1471].end 10051.43909375
transcript.pyannote[1472].speaker SPEAKER_15
transcript.pyannote[1472].start 10052.36721875
transcript.pyannote[1472].end 10056.51846875
transcript.pyannote[1473].speaker SPEAKER_02
transcript.pyannote[1473].start 10058.45909375
transcript.pyannote[1473].end 10060.12971875
transcript.pyannote[1474].speaker SPEAKER_15
transcript.pyannote[1474].start 10059.74159375
transcript.pyannote[1474].end 10065.12471875
transcript.pyannote[1475].speaker SPEAKER_02
transcript.pyannote[1475].start 10062.23909375
transcript.pyannote[1475].end 10075.97534375
transcript.pyannote[1476].speaker SPEAKER_22
transcript.pyannote[1476].start 10067.09909375
transcript.pyannote[1476].end 10067.16659375
transcript.pyannote[1477].speaker SPEAKER_15
transcript.pyannote[1477].start 10067.16659375
transcript.pyannote[1477].end 10068.53346875
transcript.pyannote[1478].speaker SPEAKER_15
transcript.pyannote[1478].start 10070.77784375
transcript.pyannote[1478].end 10071.72284375
transcript.pyannote[1479].speaker SPEAKER_15
transcript.pyannote[1479].start 10075.97534375
transcript.pyannote[1479].end 10079.41784375
transcript.pyannote[1480].speaker SPEAKER_02
transcript.pyannote[1480].start 10079.41784375
transcript.pyannote[1480].end 10079.48534375
transcript.pyannote[1481].speaker SPEAKER_15
transcript.pyannote[1481].start 10079.48534375
transcript.pyannote[1481].end 10083.94034375
transcript.pyannote[1482].speaker SPEAKER_02
transcript.pyannote[1482].start 10080.07596875
transcript.pyannote[1482].end 10087.12971875
transcript.pyannote[1483].speaker SPEAKER_15
transcript.pyannote[1483].start 10085.52659375
transcript.pyannote[1483].end 10086.15096875
transcript.pyannote[1484].speaker SPEAKER_15
transcript.pyannote[1484].start 10087.12971875
transcript.pyannote[1484].end 10092.12471875
transcript.pyannote[1485].speaker SPEAKER_02
transcript.pyannote[1485].start 10087.26471875
transcript.pyannote[1485].end 10087.29846875
transcript.pyannote[1486].speaker SPEAKER_15
transcript.pyannote[1486].start 10092.76596875
transcript.pyannote[1486].end 10095.24659375
transcript.pyannote[1487].speaker SPEAKER_02
transcript.pyannote[1487].start 10096.22534375
transcript.pyannote[1487].end 10098.65534375
transcript.pyannote[1488].speaker SPEAKER_15
transcript.pyannote[1488].start 10097.82846875
transcript.pyannote[1488].end 10111.09221875
transcript.pyannote[1489].speaker SPEAKER_02
transcript.pyannote[1489].start 10104.79784375
transcript.pyannote[1489].end 10108.18971875
transcript.pyannote[1490].speaker SPEAKER_02
transcript.pyannote[1490].start 10111.09221875
transcript.pyannote[1490].end 10118.43284375
transcript.pyannote[1491].speaker SPEAKER_15
transcript.pyannote[1491].start 10112.98221875
transcript.pyannote[1491].end 10116.39096875
transcript.pyannote[1492].speaker SPEAKER_15
transcript.pyannote[1492].start 10117.08284375
transcript.pyannote[1492].end 10117.85909375
transcript.pyannote[1493].speaker SPEAKER_15
transcript.pyannote[1493].start 10118.43284375
transcript.pyannote[1493].end 10123.22534375
transcript.pyannote[1494].speaker SPEAKER_02
transcript.pyannote[1494].start 10119.14159375
transcript.pyannote[1494].end 10120.81221875
transcript.pyannote[1495].speaker SPEAKER_02
transcript.pyannote[1495].start 10123.42784375
transcript.pyannote[1495].end 10124.84534375
transcript.pyannote[1496].speaker SPEAKER_15
transcript.pyannote[1496].start 10124.84534375
transcript.pyannote[1496].end 10125.97596875
transcript.pyannote[1497].speaker SPEAKER_02
transcript.pyannote[1497].start 10124.89596875
transcript.pyannote[1497].end 10135.91534375
transcript.pyannote[1498].speaker SPEAKER_15
transcript.pyannote[1498].start 10126.68471875
transcript.pyannote[1498].end 10127.27534375
transcript.pyannote[1499].speaker SPEAKER_15
transcript.pyannote[1499].start 10127.32596875
transcript.pyannote[1499].end 10127.41034375
transcript.pyannote[1500].speaker SPEAKER_15
transcript.pyannote[1500].start 10134.27846875
transcript.pyannote[1500].end 10134.44721875
transcript.pyannote[1501].speaker SPEAKER_02
transcript.pyannote[1501].start 10136.35409375
transcript.pyannote[1501].end 10139.49284375
transcript.pyannote[1502].speaker SPEAKER_15
transcript.pyannote[1502].start 10136.97846875
transcript.pyannote[1502].end 10137.63659375
transcript.pyannote[1503].speaker SPEAKER_15
transcript.pyannote[1503].start 10139.69534375
transcript.pyannote[1503].end 10140.99471875
transcript.pyannote[1504].speaker SPEAKER_15
transcript.pyannote[1504].start 10141.60221875
transcript.pyannote[1504].end 10145.41596875
transcript.pyannote[1505].speaker SPEAKER_02
transcript.pyannote[1505].start 10144.08284375
transcript.pyannote[1505].end 10147.54221875
transcript.pyannote[1506].speaker SPEAKER_15
transcript.pyannote[1506].start 10147.54221875
transcript.pyannote[1506].end 10147.59284375
transcript.pyannote[1507].speaker SPEAKER_02
transcript.pyannote[1507].start 10147.59284375
transcript.pyannote[1507].end 10147.74471875
transcript.pyannote[1508].speaker SPEAKER_15
transcript.pyannote[1508].start 10147.74471875
transcript.pyannote[1508].end 10148.99346875
transcript.pyannote[1509].speaker SPEAKER_02
transcript.pyannote[1509].start 10147.76159375
transcript.pyannote[1509].end 10149.60096875
transcript.pyannote[1510].speaker SPEAKER_15
transcript.pyannote[1510].start 10149.60096875
transcript.pyannote[1510].end 10162.61159375
transcript.pyannote[1511].speaker SPEAKER_02
transcript.pyannote[1511].start 10149.76971875
transcript.pyannote[1511].end 10150.10721875
transcript.pyannote[1512].speaker SPEAKER_22
transcript.pyannote[1512].start 10150.10721875
transcript.pyannote[1512].end 10150.15784375
transcript.pyannote[1513].speaker SPEAKER_02
transcript.pyannote[1513].start 10150.15784375
transcript.pyannote[1513].end 10150.27596875
transcript.pyannote[1514].speaker SPEAKER_02
transcript.pyannote[1514].start 10163.15159375
transcript.pyannote[1514].end 10165.15971875
transcript.pyannote[1515].speaker SPEAKER_02
transcript.pyannote[1515].start 10165.78409375
transcript.pyannote[1515].end 10184.43096875
transcript.pyannote[1516].speaker SPEAKER_29
transcript.pyannote[1516].start 10172.02784375
transcript.pyannote[1516].end 10172.24721875
transcript.pyannote[1517].speaker SPEAKER_22
transcript.pyannote[1517].start 10172.24721875
transcript.pyannote[1517].end 10172.39909375
transcript.pyannote[1518].speaker SPEAKER_29
transcript.pyannote[1518].start 10172.39909375
transcript.pyannote[1518].end 10172.65221875
transcript.pyannote[1519].speaker SPEAKER_00
transcript.pyannote[1519].start 10175.70659375
transcript.pyannote[1519].end 10176.02721875
transcript.pyannote[1520].speaker SPEAKER_15
transcript.pyannote[1520].start 10176.02721875
transcript.pyannote[1520].end 10179.58784375
transcript.pyannote[1521].speaker SPEAKER_15
transcript.pyannote[1521].start 10181.08971875
transcript.pyannote[1521].end 10181.62971875
transcript.pyannote[1522].speaker SPEAKER_15
transcript.pyannote[1522].start 10183.11471875
transcript.pyannote[1522].end 10216.39221875
transcript.pyannote[1523].speaker SPEAKER_00
transcript.pyannote[1523].start 10206.53721875
transcript.pyannote[1523].end 10207.58346875
transcript.pyannote[1524].speaker SPEAKER_05
transcript.pyannote[1524].start 10216.30784375
transcript.pyannote[1524].end 10239.56159375
transcript.pyannote[1525].speaker SPEAKER_15
transcript.pyannote[1525].start 10216.47659375
transcript.pyannote[1525].end 10217.86034375
transcript.pyannote[1526].speaker SPEAKER_00
transcript.pyannote[1526].start 10226.85471875
transcript.pyannote[1526].end 10227.02346875
transcript.pyannote[1527].speaker SPEAKER_15
transcript.pyannote[1527].start 10227.02346875
transcript.pyannote[1527].end 10227.71534375
transcript.pyannote[1528].speaker SPEAKER_00
transcript.pyannote[1528].start 10227.71534375
transcript.pyannote[1528].end 10227.96846875
transcript.pyannote[1529].speaker SPEAKER_15
transcript.pyannote[1529].start 10238.73471875
transcript.pyannote[1529].end 10257.90471875
transcript.pyannote[1530].speaker SPEAKER_28
transcript.pyannote[1530].start 10258.61346875
transcript.pyannote[1530].end 10262.03909375
transcript.pyannote[1531].speaker SPEAKER_28
transcript.pyannote[1531].start 10262.47784375
transcript.pyannote[1531].end 10265.86971875
transcript.pyannote[1532].speaker SPEAKER_27
transcript.pyannote[1532].start 10280.87159375
transcript.pyannote[1532].end 10285.05659375
transcript.pyannote[1533].speaker SPEAKER_27
transcript.pyannote[1533].start 10290.37221875
transcript.pyannote[1533].end 10293.62909375
transcript.pyannote[1534].speaker SPEAKER_28
transcript.pyannote[1534].start 10290.97971875
transcript.pyannote[1534].end 10291.87409375
transcript.pyannote[1535].speaker SPEAKER_27
transcript.pyannote[1535].start 10294.23659375
transcript.pyannote[1535].end 10296.02534375
transcript.pyannote[1536].speaker SPEAKER_27
transcript.pyannote[1536].start 10297.59471875
transcript.pyannote[1536].end 10303.88909375
transcript.pyannote[1537].speaker SPEAKER_27
transcript.pyannote[1537].start 10304.49659375
transcript.pyannote[1537].end 10305.37409375
transcript.pyannote[1538].speaker SPEAKER_27
transcript.pyannote[1538].start 10306.13346875
transcript.pyannote[1538].end 10311.76971875
transcript.pyannote[1539].speaker SPEAKER_27
transcript.pyannote[1539].start 10313.67659375
transcript.pyannote[1539].end 10321.55721875
transcript.pyannote[1540].speaker SPEAKER_27
transcript.pyannote[1540].start 10321.86096875
transcript.pyannote[1540].end 10323.31221875
transcript.pyannote[1541].speaker SPEAKER_27
transcript.pyannote[1541].start 10324.37534375
transcript.pyannote[1541].end 10327.02471875
transcript.pyannote[1542].speaker SPEAKER_27
transcript.pyannote[1542].start 10327.36221875
transcript.pyannote[1542].end 10328.96534375
transcript.pyannote[1543].speaker SPEAKER_27
transcript.pyannote[1543].start 10329.25221875
transcript.pyannote[1543].end 10331.02409375
transcript.pyannote[1544].speaker SPEAKER_27
transcript.pyannote[1544].start 10331.44596875
transcript.pyannote[1544].end 10333.16721875
transcript.pyannote[1545].speaker SPEAKER_27
transcript.pyannote[1545].start 10333.52159375
transcript.pyannote[1545].end 10335.02346875
transcript.pyannote[1546].speaker SPEAKER_27
transcript.pyannote[1546].start 10335.19221875
transcript.pyannote[1546].end 10337.48721875
transcript.pyannote[1547].speaker SPEAKER_27
transcript.pyannote[1547].start 10338.66846875
transcript.pyannote[1547].end 10339.96784375
transcript.pyannote[1548].speaker SPEAKER_27
transcript.pyannote[1548].start 10340.33909375
transcript.pyannote[1548].end 10343.37659375
transcript.pyannote[1549].speaker SPEAKER_27
transcript.pyannote[1549].start 10344.08534375
transcript.pyannote[1549].end 10346.26221875
transcript.pyannote[1550].speaker SPEAKER_27
transcript.pyannote[1550].start 10347.46034375
transcript.pyannote[1550].end 10354.34534375
transcript.pyannote[1551].speaker SPEAKER_27
transcript.pyannote[1551].start 10354.76721875
transcript.pyannote[1551].end 10355.56034375
transcript.pyannote[1552].speaker SPEAKER_27
transcript.pyannote[1552].start 10356.08346875
transcript.pyannote[1552].end 10357.58534375
transcript.pyannote[1553].speaker SPEAKER_27
transcript.pyannote[1553].start 10358.26034375
transcript.pyannote[1553].end 10360.03221875
transcript.pyannote[1554].speaker SPEAKER_27
transcript.pyannote[1554].start 10360.79159375
transcript.pyannote[1554].end 10361.95596875
transcript.pyannote[1555].speaker SPEAKER_27
transcript.pyannote[1555].start 10363.06971875
transcript.pyannote[1555].end 10369.09409375
transcript.pyannote[1556].speaker SPEAKER_27
transcript.pyannote[1556].start 10370.25846875
transcript.pyannote[1556].end 10371.50721875
transcript.pyannote[1557].speaker SPEAKER_27
transcript.pyannote[1557].start 10372.45221875
transcript.pyannote[1557].end 10374.20721875
transcript.pyannote[1558].speaker SPEAKER_02
transcript.pyannote[1558].start 10375.64159375
transcript.pyannote[1558].end 10378.34159375
transcript.pyannote[1559].speaker SPEAKER_02
transcript.pyannote[1559].start 10379.94471875
transcript.pyannote[1559].end 10379.96159375
transcript.pyannote[1560].speaker SPEAKER_27
transcript.pyannote[1560].start 10379.96159375
transcript.pyannote[1560].end 10380.94034375
transcript.pyannote[1561].speaker SPEAKER_02
transcript.pyannote[1561].start 10381.80096875
transcript.pyannote[1561].end 10383.94409375
transcript.pyannote[1562].speaker SPEAKER_27
transcript.pyannote[1562].start 10382.64471875
transcript.pyannote[1562].end 10385.59784375
transcript.pyannote[1563].speaker SPEAKER_27
transcript.pyannote[1563].start 10386.59346875
transcript.pyannote[1563].end 10388.68596875
transcript.pyannote[1564].speaker SPEAKER_27
transcript.pyannote[1564].start 10389.32721875
transcript.pyannote[1564].end 10391.16659375
transcript.pyannote[1565].speaker SPEAKER_27
transcript.pyannote[1565].start 10391.48721875
transcript.pyannote[1565].end 10394.00159375
transcript.pyannote[1566].speaker SPEAKER_27
transcript.pyannote[1566].start 10394.74409375
transcript.pyannote[1566].end 10395.62159375
transcript.pyannote[1567].speaker SPEAKER_27
transcript.pyannote[1567].start 10396.70159375
transcript.pyannote[1567].end 10397.57909375
transcript.pyannote[1568].speaker SPEAKER_27
transcript.pyannote[1568].start 10398.40596875
transcript.pyannote[1568].end 10399.13159375
transcript.pyannote[1569].speaker SPEAKER_27
transcript.pyannote[1569].start 10400.80221875
transcript.pyannote[1569].end 10402.79346875
transcript.pyannote[1570].speaker SPEAKER_27
transcript.pyannote[1570].start 10403.63721875
transcript.pyannote[1570].end 10404.00846875
transcript.pyannote[1571].speaker SPEAKER_27
transcript.pyannote[1571].start 10404.59909375
transcript.pyannote[1571].end 10411.58534375
transcript.pyannote[1572].speaker SPEAKER_27
transcript.pyannote[1572].start 10412.76659375
transcript.pyannote[1572].end 10413.55971875
transcript.pyannote[1573].speaker SPEAKER_27
transcript.pyannote[1573].start 10413.72846875
transcript.pyannote[1573].end 10414.90971875
transcript.pyannote[1574].speaker SPEAKER_27
transcript.pyannote[1574].start 10415.60159375
transcript.pyannote[1574].end 10418.33534375
transcript.pyannote[1575].speaker SPEAKER_27
transcript.pyannote[1575].start 10418.72346875
transcript.pyannote[1575].end 10421.05221875
transcript.pyannote[1576].speaker SPEAKER_27
transcript.pyannote[1576].start 10421.50784375
transcript.pyannote[1576].end 10422.79034375
transcript.pyannote[1577].speaker SPEAKER_27
transcript.pyannote[1577].start 10423.26284375
transcript.pyannote[1577].end 10429.48971875
transcript.pyannote[1578].speaker SPEAKER_27
transcript.pyannote[1578].start 10430.33346875
transcript.pyannote[1578].end 10431.10971875
transcript.pyannote[1579].speaker SPEAKER_27
transcript.pyannote[1579].start 10431.64971875
transcript.pyannote[1579].end 10434.11346875
transcript.pyannote[1580].speaker SPEAKER_27
transcript.pyannote[1580].start 10434.85596875
transcript.pyannote[1580].end 10436.77971875
transcript.pyannote[1581].speaker SPEAKER_27
transcript.pyannote[1581].start 10437.38721875
transcript.pyannote[1581].end 10439.07471875
transcript.pyannote[1582].speaker SPEAKER_27
transcript.pyannote[1582].start 10440.42471875
transcript.pyannote[1582].end 10445.18346875
transcript.pyannote[1583].speaker SPEAKER_27
transcript.pyannote[1583].start 10449.36846875
transcript.pyannote[1583].end 10450.26284375
transcript.pyannote[1584].speaker SPEAKER_27
transcript.pyannote[1584].start 10450.27971875
transcript.pyannote[1584].end 10450.98846875
transcript.pyannote[1585].speaker SPEAKER_02
transcript.pyannote[1585].start 10450.98846875
transcript.pyannote[1585].end 10451.03909375
transcript.pyannote[1586].speaker SPEAKER_27
transcript.pyannote[1586].start 10451.03909375
transcript.pyannote[1586].end 10451.05596875
transcript.pyannote[1587].speaker SPEAKER_02
transcript.pyannote[1587].start 10451.05596875
transcript.pyannote[1587].end 10455.35909375
transcript.pyannote[1588].speaker SPEAKER_27
transcript.pyannote[1588].start 10455.27471875
transcript.pyannote[1588].end 10456.77659375
transcript.pyannote[1589].speaker SPEAKER_02
transcript.pyannote[1589].start 10455.56159375
transcript.pyannote[1589].end 10455.74721875
transcript.pyannote[1590].speaker SPEAKER_27
transcript.pyannote[1590].start 10457.60346875
transcript.pyannote[1590].end 10461.95721875
transcript.pyannote[1591].speaker SPEAKER_27
transcript.pyannote[1591].start 10462.29471875
transcript.pyannote[1591].end 10463.15534375
transcript.pyannote[1592].speaker SPEAKER_27
transcript.pyannote[1592].start 10463.49284375
transcript.pyannote[1592].end 10464.25221875
transcript.pyannote[1593].speaker SPEAKER_27
transcript.pyannote[1593].start 10464.43784375
transcript.pyannote[1593].end 10465.28159375
transcript.pyannote[1594].speaker SPEAKER_27
transcript.pyannote[1594].start 10466.15909375
transcript.pyannote[1594].end 10468.36971875
transcript.pyannote[1595].speaker SPEAKER_27
transcript.pyannote[1595].start 10468.94346875
transcript.pyannote[1595].end 10473.22971875
transcript.pyannote[1596].speaker SPEAKER_27
transcript.pyannote[1596].start 10474.39409375
transcript.pyannote[1596].end 10475.37284375
transcript.pyannote[1597].speaker SPEAKER_27
transcript.pyannote[1597].start 10476.38534375
transcript.pyannote[1597].end 10481.31284375
transcript.pyannote[1598].speaker SPEAKER_27
transcript.pyannote[1598].start 10482.37596875
transcript.pyannote[1598].end 10484.09721875
transcript.pyannote[1599].speaker SPEAKER_27
transcript.pyannote[1599].start 10484.89034375
transcript.pyannote[1599].end 10486.44284375
transcript.pyannote[1600].speaker SPEAKER_27
transcript.pyannote[1600].start 10487.20221875
transcript.pyannote[1600].end 10488.67034375
transcript.pyannote[1601].speaker SPEAKER_27
transcript.pyannote[1601].start 10488.70409375
transcript.pyannote[1601].end 10490.94846875
transcript.pyannote[1602].speaker SPEAKER_27
transcript.pyannote[1602].start 10491.57284375
transcript.pyannote[1602].end 10493.32784375
transcript.pyannote[1603].speaker SPEAKER_27
transcript.pyannote[1603].start 10493.53034375
transcript.pyannote[1603].end 10497.61409375
transcript.pyannote[1604].speaker SPEAKER_27
transcript.pyannote[1604].start 10498.67721875
transcript.pyannote[1604].end 10502.01846875
transcript.pyannote[1605].speaker SPEAKER_27
transcript.pyannote[1605].start 10502.49096875
transcript.pyannote[1605].end 10504.41471875
transcript.pyannote[1606].speaker SPEAKER_27
transcript.pyannote[1606].start 10505.30909375
transcript.pyannote[1606].end 10505.54534375
transcript.pyannote[1607].speaker SPEAKER_27
transcript.pyannote[1607].start 10505.83221875
transcript.pyannote[1607].end 10508.56596875
transcript.pyannote[1608].speaker SPEAKER_02
transcript.pyannote[1608].start 10506.52409375
transcript.pyannote[1608].end 10506.77721875
transcript.pyannote[1609].speaker SPEAKER_02
transcript.pyannote[1609].start 10509.64596875
transcript.pyannote[1609].end 10510.27034375
transcript.pyannote[1610].speaker SPEAKER_02
transcript.pyannote[1610].start 10510.67534375
transcript.pyannote[1610].end 10513.12221875
transcript.pyannote[1611].speaker SPEAKER_27
transcript.pyannote[1611].start 10513.30784375
transcript.pyannote[1611].end 10515.94034375
transcript.pyannote[1612].speaker SPEAKER_02
transcript.pyannote[1612].start 10515.14721875
transcript.pyannote[1612].end 10519.58534375
transcript.pyannote[1613].speaker SPEAKER_27
transcript.pyannote[1613].start 10516.90221875
transcript.pyannote[1613].end 10517.77971875
transcript.pyannote[1614].speaker SPEAKER_02
transcript.pyannote[1614].start 10519.78784375
transcript.pyannote[1614].end 10524.91784375
transcript.pyannote[1615].speaker SPEAKER_27
transcript.pyannote[1615].start 10524.96846875
transcript.pyannote[1615].end 10526.63909375
transcript.pyannote[1616].speaker SPEAKER_02
transcript.pyannote[1616].start 10525.42409375
transcript.pyannote[1616].end 10527.22971875
transcript.pyannote[1617].speaker SPEAKER_27
transcript.pyannote[1617].start 10527.75284375
transcript.pyannote[1617].end 10527.82034375
transcript.pyannote[1618].speaker SPEAKER_02
transcript.pyannote[1618].start 10527.82034375
transcript.pyannote[1618].end 10527.83721875
transcript.pyannote[1619].speaker SPEAKER_27
transcript.pyannote[1619].start 10527.83721875
transcript.pyannote[1619].end 10533.94596875
transcript.pyannote[1620].speaker SPEAKER_02
transcript.pyannote[1620].start 10532.12346875
transcript.pyannote[1620].end 10532.32596875
transcript.pyannote[1621].speaker SPEAKER_27
transcript.pyannote[1621].start 10534.06409375
transcript.pyannote[1621].end 10536.17346875
transcript.pyannote[1622].speaker SPEAKER_27
transcript.pyannote[1622].start 10537.54034375
transcript.pyannote[1622].end 10540.99971875
transcript.pyannote[1623].speaker SPEAKER_27
transcript.pyannote[1623].start 10541.05034375
transcript.pyannote[1623].end 10541.08409375
transcript.pyannote[1624].speaker SPEAKER_05
transcript.pyannote[1624].start 10541.08409375
transcript.pyannote[1624].end 10541.37096875
transcript.pyannote[1625].speaker SPEAKER_27
transcript.pyannote[1625].start 10541.37096875
transcript.pyannote[1625].end 10541.53971875
transcript.pyannote[1626].speaker SPEAKER_05
transcript.pyannote[1626].start 10541.53971875
transcript.pyannote[1626].end 10541.55659375
transcript.pyannote[1627].speaker SPEAKER_27
transcript.pyannote[1627].start 10541.55659375
transcript.pyannote[1627].end 10541.67471875
transcript.pyannote[1628].speaker SPEAKER_05
transcript.pyannote[1628].start 10541.67471875
transcript.pyannote[1628].end 10541.72534375
transcript.pyannote[1629].speaker SPEAKER_27
transcript.pyannote[1629].start 10541.72534375
transcript.pyannote[1629].end 10541.80971875
transcript.pyannote[1630].speaker SPEAKER_27
transcript.pyannote[1630].start 10541.96159375
transcript.pyannote[1630].end 10544.57721875
transcript.pyannote[1631].speaker SPEAKER_27
transcript.pyannote[1631].start 10545.25221875
transcript.pyannote[1631].end 10547.26034375
transcript.pyannote[1632].speaker SPEAKER_27
transcript.pyannote[1632].start 10547.56409375
transcript.pyannote[1632].end 10548.47534375
transcript.pyannote[1633].speaker SPEAKER_05
transcript.pyannote[1633].start 10549.08284375
transcript.pyannote[1633].end 10551.49596875
transcript.pyannote[1634].speaker SPEAKER_27
transcript.pyannote[1634].start 10551.10784375
transcript.pyannote[1634].end 10558.14471875
transcript.pyannote[1635].speaker SPEAKER_05
transcript.pyannote[1635].start 10556.72721875
transcript.pyannote[1635].end 10556.79471875
transcript.pyannote[1636].speaker SPEAKER_27
transcript.pyannote[1636].start 10559.22471875
transcript.pyannote[1636].end 10560.99659375
transcript.pyannote[1637].speaker SPEAKER_27
transcript.pyannote[1637].start 10561.67159375
transcript.pyannote[1637].end 10563.37596875
transcript.pyannote[1638].speaker SPEAKER_27
transcript.pyannote[1638].start 10564.13534375
transcript.pyannote[1638].end 10566.63284375
transcript.pyannote[1639].speaker SPEAKER_27
transcript.pyannote[1639].start 10566.85221875
transcript.pyannote[1639].end 10569.40034375
transcript.pyannote[1640].speaker SPEAKER_27
transcript.pyannote[1640].start 10569.85596875
transcript.pyannote[1640].end 10572.69096875
transcript.pyannote[1641].speaker SPEAKER_27
transcript.pyannote[1641].start 10572.91034375
transcript.pyannote[1641].end 10577.26409375
transcript.pyannote[1642].speaker SPEAKER_27
transcript.pyannote[1642].start 10577.83784375
transcript.pyannote[1642].end 10578.86721875
transcript.pyannote[1643].speaker SPEAKER_05
transcript.pyannote[1643].start 10577.85471875
transcript.pyannote[1643].end 10588.31721875
transcript.pyannote[1644].speaker SPEAKER_05
transcript.pyannote[1644].start 10588.55346875
transcript.pyannote[1644].end 10592.24909375
transcript.pyannote[1645].speaker SPEAKER_05
transcript.pyannote[1645].start 10592.35034375
transcript.pyannote[1645].end 10599.85971875
transcript.pyannote[1646].speaker SPEAKER_22
transcript.pyannote[1646].start 10592.41784375
transcript.pyannote[1646].end 10592.89034375
transcript.pyannote[1647].speaker SPEAKER_27
transcript.pyannote[1647].start 10595.74221875
transcript.pyannote[1647].end 10596.19784375
transcript.pyannote[1648].speaker SPEAKER_27
transcript.pyannote[1648].start 10597.17659375
transcript.pyannote[1648].end 10601.56409375
transcript.pyannote[1649].speaker SPEAKER_27
transcript.pyannote[1649].start 10602.47534375
transcript.pyannote[1649].end 10611.48659375
transcript.pyannote[1650].speaker SPEAKER_27
transcript.pyannote[1650].start 10612.04346875
transcript.pyannote[1650].end 10614.81096875
transcript.pyannote[1651].speaker SPEAKER_27
transcript.pyannote[1651].start 10615.11471875
transcript.pyannote[1651].end 10615.53659375
transcript.pyannote[1652].speaker SPEAKER_27
transcript.pyannote[1652].start 10616.53221875
transcript.pyannote[1652].end 10618.05096875
transcript.pyannote[1653].speaker SPEAKER_27
transcript.pyannote[1653].start 10618.42221875
transcript.pyannote[1653].end 10623.68721875
transcript.pyannote[1654].speaker SPEAKER_27
transcript.pyannote[1654].start 10624.05846875
transcript.pyannote[1654].end 10626.20159375
transcript.pyannote[1655].speaker SPEAKER_05
transcript.pyannote[1655].start 10624.98659375
transcript.pyannote[1655].end 10625.03721875
transcript.pyannote[1656].speaker SPEAKER_27
transcript.pyannote[1656].start 10626.77534375
transcript.pyannote[1656].end 10631.50034375
transcript.pyannote[1657].speaker SPEAKER_05
transcript.pyannote[1657].start 10631.80409375
transcript.pyannote[1657].end 10641.23721875
transcript.pyannote[1658].speaker SPEAKER_27
transcript.pyannote[1658].start 10639.98846875
transcript.pyannote[1658].end 10640.42721875
transcript.pyannote[1659].speaker SPEAKER_27
transcript.pyannote[1659].start 10641.50721875
transcript.pyannote[1659].end 10644.34221875
transcript.pyannote[1660].speaker SPEAKER_05
transcript.pyannote[1660].start 10641.54096875
transcript.pyannote[1660].end 10642.94159375
transcript.pyannote[1661].speaker SPEAKER_27
transcript.pyannote[1661].start 10645.21971875
transcript.pyannote[1661].end 10646.72159375
transcript.pyannote[1662].speaker SPEAKER_27
transcript.pyannote[1662].start 10647.17721875
transcript.pyannote[1662].end 10650.02909375
transcript.pyannote[1663].speaker SPEAKER_27
transcript.pyannote[1663].start 10650.43409375
transcript.pyannote[1663].end 10653.37034375
transcript.pyannote[1664].speaker SPEAKER_27
transcript.pyannote[1664].start 10654.46721875
transcript.pyannote[1664].end 10660.44096875
transcript.pyannote[1665].speaker SPEAKER_27
transcript.pyannote[1665].start 10661.87534375
transcript.pyannote[1665].end 10662.80346875
transcript.pyannote[1666].speaker SPEAKER_27
transcript.pyannote[1666].start 10663.88346875
transcript.pyannote[1666].end 10664.79471875
transcript.pyannote[1667].speaker SPEAKER_27
transcript.pyannote[1667].start 10665.11534375
transcript.pyannote[1667].end 10666.29659375
transcript.pyannote[1668].speaker SPEAKER_27
transcript.pyannote[1668].start 10667.24159375
transcript.pyannote[1668].end 10667.96721875
transcript.pyannote[1669].speaker SPEAKER_27
transcript.pyannote[1669].start 10668.62534375
transcript.pyannote[1669].end 10674.80159375
transcript.pyannote[1670].speaker SPEAKER_05
transcript.pyannote[1670].start 10670.27909375
transcript.pyannote[1670].end 10670.61659375
transcript.pyannote[1671].speaker SPEAKER_27
transcript.pyannote[1671].start 10675.88159375
transcript.pyannote[1671].end 10683.77909375
transcript.pyannote[1672].speaker SPEAKER_27
transcript.pyannote[1672].start 10683.94784375
transcript.pyannote[1672].end 10691.94659375
transcript.pyannote[1673].speaker SPEAKER_27
transcript.pyannote[1673].start 10692.94221875
transcript.pyannote[1673].end 10697.22846875
transcript.pyannote[1674].speaker SPEAKER_27
transcript.pyannote[1674].start 10697.76846875
transcript.pyannote[1674].end 10700.70471875
transcript.pyannote[1675].speaker SPEAKER_27
transcript.pyannote[1675].start 10702.30784375
transcript.pyannote[1675].end 10704.28221875
transcript.pyannote[1676].speaker SPEAKER_02
transcript.pyannote[1676].start 10705.10909375
transcript.pyannote[1676].end 10710.62721875
transcript.pyannote[1677].speaker SPEAKER_02
transcript.pyannote[1677].start 10711.03221875
transcript.pyannote[1677].end 10725.03846875
transcript.pyannote[1678].speaker SPEAKER_27
transcript.pyannote[1678].start 10721.59596875
transcript.pyannote[1678].end 10722.22034375
transcript.pyannote[1679].speaker SPEAKER_27
transcript.pyannote[1679].start 10725.03846875
transcript.pyannote[1679].end 10727.85659375
transcript.pyannote[1680].speaker SPEAKER_27
transcript.pyannote[1680].start 10728.16034375
transcript.pyannote[1680].end 10728.54846875
transcript.pyannote[1681].speaker SPEAKER_27
transcript.pyannote[1681].start 10729.12221875
transcript.pyannote[1681].end 10735.09596875
transcript.pyannote[1682].speaker SPEAKER_02
transcript.pyannote[1682].start 10734.01596875
transcript.pyannote[1682].end 10737.00284375
transcript.pyannote[1683].speaker SPEAKER_02
transcript.pyannote[1683].start 10737.23909375
transcript.pyannote[1683].end 10738.84221875
transcript.pyannote[1684].speaker SPEAKER_27
transcript.pyannote[1684].start 10737.34034375
transcript.pyannote[1684].end 10737.91409375
transcript.pyannote[1685].speaker SPEAKER_27
transcript.pyannote[1685].start 10738.03221875
transcript.pyannote[1685].end 10740.61409375
transcript.pyannote[1686].speaker SPEAKER_27
transcript.pyannote[1686].start 10740.85034375
transcript.pyannote[1686].end 10742.50409375
transcript.pyannote[1687].speaker SPEAKER_27
transcript.pyannote[1687].start 10743.07784375
transcript.pyannote[1687].end 10743.44909375
transcript.pyannote[1688].speaker SPEAKER_27
transcript.pyannote[1688].start 10743.98909375
transcript.pyannote[1688].end 10750.31721875
transcript.pyannote[1689].speaker SPEAKER_27
transcript.pyannote[1689].start 10750.92471875
transcript.pyannote[1689].end 10751.29596875
transcript.pyannote[1690].speaker SPEAKER_27
transcript.pyannote[1690].start 10751.92034375
transcript.pyannote[1690].end 10768.30596875
transcript.pyannote[1691].speaker SPEAKER_27
transcript.pyannote[1691].start 10769.79096875
transcript.pyannote[1691].end 10773.35159375
transcript.pyannote[1692].speaker SPEAKER_27
transcript.pyannote[1692].start 10773.63846875
transcript.pyannote[1692].end 10777.92471875
transcript.pyannote[1693].speaker SPEAKER_27
transcript.pyannote[1693].start 10778.53221875
transcript.pyannote[1693].end 10780.94534375
transcript.pyannote[1694].speaker SPEAKER_27
transcript.pyannote[1694].start 10781.55284375
transcript.pyannote[1694].end 10785.58596875
transcript.pyannote[1695].speaker SPEAKER_05
transcript.pyannote[1695].start 10786.31159375
transcript.pyannote[1695].end 10786.32846875
transcript.pyannote[1696].speaker SPEAKER_02
transcript.pyannote[1696].start 10786.32846875
transcript.pyannote[1696].end 10786.96971875
transcript.pyannote[1697].speaker SPEAKER_05
transcript.pyannote[1697].start 10786.96971875
transcript.pyannote[1697].end 10787.52659375
transcript.pyannote[1698].speaker SPEAKER_02
transcript.pyannote[1698].start 10787.52659375
transcript.pyannote[1698].end 10787.57721875
transcript.pyannote[1699].speaker SPEAKER_27
transcript.pyannote[1699].start 10787.89784375
transcript.pyannote[1699].end 10788.97784375
transcript.pyannote[1700].speaker SPEAKER_05
transcript.pyannote[1700].start 10788.97784375
transcript.pyannote[1700].end 10789.92284375
transcript.pyannote[1701].speaker SPEAKER_27
transcript.pyannote[1701].start 10789.92284375
transcript.pyannote[1701].end 10790.85096875
transcript.pyannote[1702].speaker SPEAKER_05
transcript.pyannote[1702].start 10789.95659375
transcript.pyannote[1702].end 10791.01971875
transcript.pyannote[1703].speaker SPEAKER_05
transcript.pyannote[1703].start 10791.37409375
transcript.pyannote[1703].end 10800.09846875
transcript.pyannote[1704].speaker SPEAKER_27
transcript.pyannote[1704].start 10794.47909375
transcript.pyannote[1704].end 10794.95159375
transcript.pyannote[1705].speaker SPEAKER_27
transcript.pyannote[1705].start 10796.99346875
transcript.pyannote[1705].end 10799.20409375
transcript.pyannote[1706].speaker SPEAKER_28
transcript.pyannote[1706].start 10800.09846875
transcript.pyannote[1706].end 10800.11534375
transcript.pyannote[1707].speaker SPEAKER_27
transcript.pyannote[1707].start 10800.77346875
transcript.pyannote[1707].end 10800.85784375
transcript.pyannote[1708].speaker SPEAKER_28
transcript.pyannote[1708].start 10800.85784375
transcript.pyannote[1708].end 10801.09409375
transcript.pyannote[1709].speaker SPEAKER_27
transcript.pyannote[1709].start 10801.09409375
transcript.pyannote[1709].end 10801.73534375
transcript.pyannote[1710].speaker SPEAKER_28
transcript.pyannote[1710].start 10805.04284375
transcript.pyannote[1710].end 10807.92846875
transcript.pyannote[1711].speaker SPEAKER_28
transcript.pyannote[1711].start 10811.28659375
transcript.pyannote[1711].end 10814.69534375
transcript.pyannote[1712].speaker SPEAKER_03
transcript.pyannote[1712].start 10825.51221875
transcript.pyannote[1712].end 10830.18659375
transcript.pyannote[1713].speaker SPEAKER_28
transcript.pyannote[1713].start 10830.70971875
transcript.pyannote[1713].end 10832.38034375
transcript.pyannote[1714].speaker SPEAKER_02
transcript.pyannote[1714].start 10837.15596875
transcript.pyannote[1714].end 10837.83096875
transcript.pyannote[1715].speaker SPEAKER_03
transcript.pyannote[1715].start 10838.06721875
transcript.pyannote[1715].end 10839.24846875
transcript.pyannote[1716].speaker SPEAKER_03
transcript.pyannote[1716].start 10839.87284375
transcript.pyannote[1716].end 10840.61534375
transcript.pyannote[1717].speaker SPEAKER_03
transcript.pyannote[1717].start 10841.62784375
transcript.pyannote[1717].end 10844.85096875
transcript.pyannote[1718].speaker SPEAKER_03
transcript.pyannote[1718].start 10845.89721875
transcript.pyannote[1718].end 10846.42034375
transcript.pyannote[1719].speaker SPEAKER_03
transcript.pyannote[1719].start 10847.09534375
transcript.pyannote[1719].end 10847.83784375
transcript.pyannote[1720].speaker SPEAKER_03
transcript.pyannote[1720].start 10848.49596875
transcript.pyannote[1720].end 10851.58409375
transcript.pyannote[1721].speaker SPEAKER_03
transcript.pyannote[1721].start 10851.66846875
transcript.pyannote[1721].end 10855.53284375
transcript.pyannote[1722].speaker SPEAKER_03
transcript.pyannote[1722].start 10856.27534375
transcript.pyannote[1722].end 10858.23284375
transcript.pyannote[1723].speaker SPEAKER_03
transcript.pyannote[1723].start 10858.97534375
transcript.pyannote[1723].end 10861.72596875
transcript.pyannote[1724].speaker SPEAKER_03
transcript.pyannote[1724].start 10862.48534375
transcript.pyannote[1724].end 10862.68784375
transcript.pyannote[1725].speaker SPEAKER_03
transcript.pyannote[1725].start 10863.31221875
transcript.pyannote[1725].end 10868.12159375
transcript.pyannote[1726].speaker SPEAKER_03
transcript.pyannote[1726].start 10868.86409375
transcript.pyannote[1726].end 10870.18034375
transcript.pyannote[1727].speaker SPEAKER_03
transcript.pyannote[1727].start 10870.75409375
transcript.pyannote[1727].end 10874.44971875
transcript.pyannote[1728].speaker SPEAKER_03
transcript.pyannote[1728].start 10876.33971875
transcript.pyannote[1728].end 10879.12409375
transcript.pyannote[1729].speaker SPEAKER_03
transcript.pyannote[1729].start 10879.83284375
transcript.pyannote[1729].end 10881.43596875
transcript.pyannote[1730].speaker SPEAKER_03
transcript.pyannote[1730].start 10882.43159375
transcript.pyannote[1730].end 10886.11034375
transcript.pyannote[1731].speaker SPEAKER_03
transcript.pyannote[1731].start 10886.76846875
transcript.pyannote[1731].end 10887.39284375
transcript.pyannote[1732].speaker SPEAKER_03
transcript.pyannote[1732].start 10888.00034375
transcript.pyannote[1732].end 10889.56971875
transcript.pyannote[1733].speaker SPEAKER_03
transcript.pyannote[1733].start 10890.19409375
transcript.pyannote[1733].end 10891.91534375
transcript.pyannote[1734].speaker SPEAKER_03
transcript.pyannote[1734].start 10892.50596875
transcript.pyannote[1734].end 10893.55221875
transcript.pyannote[1735].speaker SPEAKER_03
transcript.pyannote[1735].start 10894.21034375
transcript.pyannote[1735].end 10896.55596875
transcript.pyannote[1736].speaker SPEAKER_03
transcript.pyannote[1736].start 10896.97784375
transcript.pyannote[1736].end 10898.41221875
transcript.pyannote[1737].speaker SPEAKER_03
transcript.pyannote[1737].start 10899.20534375
transcript.pyannote[1737].end 10900.94346875
transcript.pyannote[1738].speaker SPEAKER_03
transcript.pyannote[1738].start 10901.63534375
transcript.pyannote[1738].end 10903.30596875
transcript.pyannote[1739].speaker SPEAKER_03
transcript.pyannote[1739].start 10904.95971875
transcript.pyannote[1739].end 10908.23346875
transcript.pyannote[1740].speaker SPEAKER_03
transcript.pyannote[1740].start 10908.97596875
transcript.pyannote[1740].end 10910.54534375
transcript.pyannote[1741].speaker SPEAKER_03
transcript.pyannote[1741].start 10911.11909375
transcript.pyannote[1741].end 10913.51534375
transcript.pyannote[1742].speaker SPEAKER_03
transcript.pyannote[1742].start 10913.68409375
transcript.pyannote[1742].end 10916.36721875
transcript.pyannote[1743].speaker SPEAKER_03
transcript.pyannote[1743].start 10917.37971875
transcript.pyannote[1743].end 10917.83534375
transcript.pyannote[1744].speaker SPEAKER_03
transcript.pyannote[1744].start 10917.95346875
transcript.pyannote[1744].end 10919.64096875
transcript.pyannote[1745].speaker SPEAKER_03
transcript.pyannote[1745].start 10920.87284375
transcript.pyannote[1745].end 10921.63221875
transcript.pyannote[1746].speaker SPEAKER_03
transcript.pyannote[1746].start 10922.42534375
transcript.pyannote[1746].end 10924.02846875
transcript.pyannote[1747].speaker SPEAKER_03
transcript.pyannote[1747].start 10924.34909375
transcript.pyannote[1747].end 10925.22659375
transcript.pyannote[1748].speaker SPEAKER_03
transcript.pyannote[1748].start 10926.00284375
transcript.pyannote[1748].end 10926.76221875
transcript.pyannote[1749].speaker SPEAKER_03
transcript.pyannote[1749].start 10927.82534375
transcript.pyannote[1749].end 10929.78284375
transcript.pyannote[1750].speaker SPEAKER_03
transcript.pyannote[1750].start 10930.37346875
transcript.pyannote[1750].end 10932.49971875
transcript.pyannote[1751].speaker SPEAKER_03
transcript.pyannote[1751].start 10934.57534375
transcript.pyannote[1751].end 10937.29221875
transcript.pyannote[1752].speaker SPEAKER_03
transcript.pyannote[1752].start 10937.78159375
transcript.pyannote[1752].end 10939.28346875
transcript.pyannote[1753].speaker SPEAKER_03
transcript.pyannote[1753].start 10939.72221875
transcript.pyannote[1753].end 10942.92846875
transcript.pyannote[1754].speaker SPEAKER_03
transcript.pyannote[1754].start 10943.13096875
transcript.pyannote[1754].end 10944.91971875
transcript.pyannote[1755].speaker SPEAKER_03
transcript.pyannote[1755].start 10945.71284375
transcript.pyannote[1755].end 10948.54784375
transcript.pyannote[1756].speaker SPEAKER_03
transcript.pyannote[1756].start 10948.78409375
transcript.pyannote[1756].end 10951.16346875
transcript.pyannote[1757].speaker SPEAKER_03
transcript.pyannote[1757].start 10953.98159375
transcript.pyannote[1757].end 10954.60596875
transcript.pyannote[1758].speaker SPEAKER_03
transcript.pyannote[1758].start 10955.51721875
transcript.pyannote[1758].end 10956.24284375
transcript.pyannote[1759].speaker SPEAKER_03
transcript.pyannote[1759].start 10957.18784375
transcript.pyannote[1759].end 10960.00596875
transcript.pyannote[1760].speaker SPEAKER_03
transcript.pyannote[1760].start 10961.25471875
transcript.pyannote[1760].end 10964.62971875
transcript.pyannote[1761].speaker SPEAKER_03
transcript.pyannote[1761].start 10965.60846875
transcript.pyannote[1761].end 10968.20721875
transcript.pyannote[1762].speaker SPEAKER_03
transcript.pyannote[1762].start 10968.94971875
transcript.pyannote[1762].end 10970.56971875
transcript.pyannote[1763].speaker SPEAKER_03
transcript.pyannote[1763].start 10971.54846875
transcript.pyannote[1763].end 10973.35409375
transcript.pyannote[1764].speaker SPEAKER_03
transcript.pyannote[1764].start 10973.75909375
transcript.pyannote[1764].end 10975.26096875
transcript.pyannote[1765].speaker SPEAKER_03
transcript.pyannote[1765].start 10975.91909375
transcript.pyannote[1765].end 10977.03284375
transcript.pyannote[1766].speaker SPEAKER_03
transcript.pyannote[1766].start 10977.82596875
transcript.pyannote[1766].end 10979.20971875
transcript.pyannote[1767].speaker SPEAKER_03
transcript.pyannote[1767].start 10979.74971875
transcript.pyannote[1767].end 10984.32284375
transcript.pyannote[1768].speaker SPEAKER_03
transcript.pyannote[1768].start 10985.01471875
transcript.pyannote[1768].end 10988.15346875
transcript.pyannote[1769].speaker SPEAKER_03
transcript.pyannote[1769].start 10988.54159375
transcript.pyannote[1769].end 10989.57096875
transcript.pyannote[1770].speaker SPEAKER_03
transcript.pyannote[1770].start 10989.99284375
transcript.pyannote[1770].end 10991.78159375
transcript.pyannote[1771].speaker SPEAKER_03
transcript.pyannote[1771].start 10992.01784375
transcript.pyannote[1771].end 10992.05159375
transcript.pyannote[1772].speaker SPEAKER_03
transcript.pyannote[1772].start 10992.06846875
transcript.pyannote[1772].end 10993.51971875
transcript.pyannote[1773].speaker SPEAKER_03
transcript.pyannote[1773].start 10993.95846875
transcript.pyannote[1773].end 10996.21971875
transcript.pyannote[1774].speaker SPEAKER_03
transcript.pyannote[1774].start 10996.55721875
transcript.pyannote[1774].end 10998.36284375
transcript.pyannote[1775].speaker SPEAKER_03
transcript.pyannote[1775].start 10998.76784375
transcript.pyannote[1775].end 10999.64534375
transcript.pyannote[1776].speaker SPEAKER_03
transcript.pyannote[1776].start 11000.28659375
transcript.pyannote[1776].end 11002.10909375
transcript.pyannote[1777].speaker SPEAKER_03
transcript.pyannote[1777].start 11002.85159375
transcript.pyannote[1777].end 11004.10034375
transcript.pyannote[1778].speaker SPEAKER_03
transcript.pyannote[1778].start 11004.55596875
transcript.pyannote[1778].end 11007.59346875
transcript.pyannote[1779].speaker SPEAKER_03
transcript.pyannote[1779].start 11008.15034375
transcript.pyannote[1779].end 11010.04034375
transcript.pyannote[1780].speaker SPEAKER_03
transcript.pyannote[1780].start 11011.42409375
transcript.pyannote[1780].end 11012.75721875
transcript.pyannote[1781].speaker SPEAKER_03
transcript.pyannote[1781].start 11013.98909375
transcript.pyannote[1781].end 11014.78221875
transcript.pyannote[1782].speaker SPEAKER_03
transcript.pyannote[1782].start 11015.42346875
transcript.pyannote[1782].end 11017.17846875
transcript.pyannote[1783].speaker SPEAKER_03
transcript.pyannote[1783].start 11018.35971875
transcript.pyannote[1783].end 11019.06846875
transcript.pyannote[1784].speaker SPEAKER_03
transcript.pyannote[1784].start 11019.37221875
transcript.pyannote[1784].end 11020.65471875
transcript.pyannote[1785].speaker SPEAKER_03
transcript.pyannote[1785].start 11020.90784375
transcript.pyannote[1785].end 11023.21971875
transcript.pyannote[1786].speaker SPEAKER_03
transcript.pyannote[1786].start 11024.19846875
transcript.pyannote[1786].end 11026.86471875
transcript.pyannote[1787].speaker SPEAKER_03
transcript.pyannote[1787].start 11027.53971875
transcript.pyannote[1787].end 11027.79284375
transcript.pyannote[1788].speaker SPEAKER_03
transcript.pyannote[1788].start 11028.34971875
transcript.pyannote[1788].end 11030.62784375
transcript.pyannote[1789].speaker SPEAKER_03
transcript.pyannote[1789].start 11031.08346875
transcript.pyannote[1789].end 11033.07471875
transcript.pyannote[1790].speaker SPEAKER_03
transcript.pyannote[1790].start 11033.85096875
transcript.pyannote[1790].end 11036.87159375
transcript.pyannote[1791].speaker SPEAKER_03
transcript.pyannote[1791].start 11037.31034375
transcript.pyannote[1791].end 11041.63034375
transcript.pyannote[1792].speaker SPEAKER_03
transcript.pyannote[1792].start 11041.93409375
transcript.pyannote[1792].end 11043.45284375
transcript.pyannote[1793].speaker SPEAKER_03
transcript.pyannote[1793].start 11043.97596875
transcript.pyannote[1793].end 11045.93346875
transcript.pyannote[1794].speaker SPEAKER_03
transcript.pyannote[1794].start 11046.50721875
transcript.pyannote[1794].end 11046.81096875
transcript.pyannote[1795].speaker SPEAKER_03
transcript.pyannote[1795].start 11047.24971875
transcript.pyannote[1795].end 11050.42221875
transcript.pyannote[1796].speaker SPEAKER_03
transcript.pyannote[1796].start 11051.16471875
transcript.pyannote[1796].end 11052.81846875
transcript.pyannote[1797].speaker SPEAKER_03
transcript.pyannote[1797].start 11053.22346875
transcript.pyannote[1797].end 11056.86846875
transcript.pyannote[1798].speaker SPEAKER_03
transcript.pyannote[1798].start 11057.34096875
transcript.pyannote[1798].end 11058.80909375
transcript.pyannote[1799].speaker SPEAKER_03
transcript.pyannote[1799].start 11059.12971875
transcript.pyannote[1799].end 11060.20971875
transcript.pyannote[1800].speaker SPEAKER_03
transcript.pyannote[1800].start 11061.28971875
transcript.pyannote[1800].end 11061.52596875
transcript.pyannote[1801].speaker SPEAKER_03
transcript.pyannote[1801].start 11061.91409375
transcript.pyannote[1801].end 11062.92659375
transcript.pyannote[1802].speaker SPEAKER_03
transcript.pyannote[1802].start 11063.55096875
transcript.pyannote[1802].end 11065.35659375
transcript.pyannote[1803].speaker SPEAKER_03
transcript.pyannote[1803].start 11066.36909375
transcript.pyannote[1803].end 11071.00971875
transcript.pyannote[1804].speaker SPEAKER_03
transcript.pyannote[1804].start 11071.34721875
transcript.pyannote[1804].end 11072.73096875
transcript.pyannote[1805].speaker SPEAKER_03
transcript.pyannote[1805].start 11073.55784375
transcript.pyannote[1805].end 11074.13159375
transcript.pyannote[1806].speaker SPEAKER_03
transcript.pyannote[1806].start 11074.67159375
transcript.pyannote[1806].end 11076.52784375
transcript.pyannote[1807].speaker SPEAKER_03
transcript.pyannote[1807].start 11076.96659375
transcript.pyannote[1807].end 11077.99596875
transcript.pyannote[1808].speaker SPEAKER_03
transcript.pyannote[1808].start 11078.70471875
transcript.pyannote[1808].end 11079.90284375
transcript.pyannote[1809].speaker SPEAKER_03
transcript.pyannote[1809].start 11080.22346875
transcript.pyannote[1809].end 11081.32034375
transcript.pyannote[1810].speaker SPEAKER_03
transcript.pyannote[1810].start 11081.84346875
transcript.pyannote[1810].end 11082.82221875
transcript.pyannote[1811].speaker SPEAKER_03
transcript.pyannote[1811].start 11083.31159375
transcript.pyannote[1811].end 11084.93159375
transcript.pyannote[1812].speaker SPEAKER_03
transcript.pyannote[1812].start 11085.26909375
transcript.pyannote[1812].end 11087.44596875
transcript.pyannote[1813].speaker SPEAKER_03
transcript.pyannote[1813].start 11089.31909375
transcript.pyannote[1813].end 11091.12471875
transcript.pyannote[1814].speaker SPEAKER_03
transcript.pyannote[1814].start 11091.64784375
transcript.pyannote[1814].end 11092.86284375
transcript.pyannote[1815].speaker SPEAKER_03
transcript.pyannote[1815].start 11093.60534375
transcript.pyannote[1815].end 11094.46596875
transcript.pyannote[1816].speaker SPEAKER_03
transcript.pyannote[1816].start 11094.83721875
transcript.pyannote[1816].end 11096.01846875
transcript.pyannote[1817].speaker SPEAKER_03
transcript.pyannote[1817].start 11096.64284375
transcript.pyannote[1817].end 11097.36846875
transcript.pyannote[1818].speaker SPEAKER_03
transcript.pyannote[1818].start 11097.57096875
transcript.pyannote[1818].end 11098.06034375
transcript.pyannote[1819].speaker SPEAKER_03
transcript.pyannote[1819].start 11099.79846875
transcript.pyannote[1819].end 11100.27096875
transcript.pyannote[1820].speaker SPEAKER_03
transcript.pyannote[1820].start 11101.06409375
transcript.pyannote[1820].end 11101.87409375
transcript.pyannote[1821].speaker SPEAKER_03
transcript.pyannote[1821].start 11102.90346875
transcript.pyannote[1821].end 11103.19034375
transcript.pyannote[1822].speaker SPEAKER_03
transcript.pyannote[1822].start 11103.52784375
transcript.pyannote[1822].end 11104.65846875
transcript.pyannote[1823].speaker SPEAKER_03
transcript.pyannote[1823].start 11104.87784375
transcript.pyannote[1823].end 11105.13096875
transcript.pyannote[1824].speaker SPEAKER_03
transcript.pyannote[1824].start 11105.31659375
transcript.pyannote[1824].end 11107.84784375
transcript.pyannote[1825].speaker SPEAKER_03
transcript.pyannote[1825].start 11108.21909375
transcript.pyannote[1825].end 11108.45534375
transcript.pyannote[1826].speaker SPEAKER_03
transcript.pyannote[1826].start 11108.97846875
transcript.pyannote[1826].end 11110.88534375
transcript.pyannote[1827].speaker SPEAKER_03
transcript.pyannote[1827].start 11111.79659375
transcript.pyannote[1827].end 11114.63159375
transcript.pyannote[1828].speaker SPEAKER_03
transcript.pyannote[1828].start 11115.79596875
transcript.pyannote[1828].end 11117.43284375
transcript.pyannote[1829].speaker SPEAKER_03
transcript.pyannote[1829].start 11118.02346875
transcript.pyannote[1829].end 11118.93471875
transcript.pyannote[1830].speaker SPEAKER_03
transcript.pyannote[1830].start 11119.76159375
transcript.pyannote[1830].end 11120.77409375
transcript.pyannote[1831].speaker SPEAKER_03
transcript.pyannote[1831].start 11121.36471875
transcript.pyannote[1831].end 11122.44471875
transcript.pyannote[1832].speaker SPEAKER_03
transcript.pyannote[1832].start 11123.28846875
transcript.pyannote[1832].end 11124.40221875
transcript.pyannote[1833].speaker SPEAKER_03
transcript.pyannote[1833].start 11125.16159375
transcript.pyannote[1833].end 11128.65471875
transcript.pyannote[1834].speaker SPEAKER_03
transcript.pyannote[1834].start 11130.12284375
transcript.pyannote[1834].end 11130.47721875
transcript.pyannote[1835].speaker SPEAKER_03
transcript.pyannote[1835].start 11131.43909375
transcript.pyannote[1835].end 11133.93659375
transcript.pyannote[1836].speaker SPEAKER_03
transcript.pyannote[1836].start 11134.84784375
transcript.pyannote[1836].end 11136.09659375
transcript.pyannote[1837].speaker SPEAKER_03
transcript.pyannote[1837].start 11136.51846875
transcript.pyannote[1837].end 11138.81346875
transcript.pyannote[1838].speaker SPEAKER_03
transcript.pyannote[1838].start 11140.65284375
transcript.pyannote[1838].end 11143.15034375
transcript.pyannote[1839].speaker SPEAKER_03
transcript.pyannote[1839].start 11143.79159375
transcript.pyannote[1839].end 11145.73221875
transcript.pyannote[1840].speaker SPEAKER_03
transcript.pyannote[1840].start 11146.13721875
transcript.pyannote[1840].end 11146.93034375
transcript.pyannote[1841].speaker SPEAKER_03
transcript.pyannote[1841].start 11147.33534375
transcript.pyannote[1841].end 11149.29284375
transcript.pyannote[1842].speaker SPEAKER_03
transcript.pyannote[1842].start 11150.50784375
transcript.pyannote[1842].end 11150.77784375
transcript.pyannote[1843].speaker SPEAKER_03
transcript.pyannote[1843].start 11151.41909375
transcript.pyannote[1843].end 11156.00909375
transcript.pyannote[1844].speaker SPEAKER_03
transcript.pyannote[1844].start 11157.25784375
transcript.pyannote[1844].end 11160.53159375
transcript.pyannote[1845].speaker SPEAKER_03
transcript.pyannote[1845].start 11160.73409375
transcript.pyannote[1845].end 11161.83096875
transcript.pyannote[1846].speaker SPEAKER_03
transcript.pyannote[1846].start 11161.96596875
transcript.pyannote[1846].end 11165.07096875
transcript.pyannote[1847].speaker SPEAKER_03
transcript.pyannote[1847].start 11165.88096875
transcript.pyannote[1847].end 11168.15909375
transcript.pyannote[1848].speaker SPEAKER_03
transcript.pyannote[1848].start 11169.98159375
transcript.pyannote[1848].end 11170.92659375
transcript.pyannote[1849].speaker SPEAKER_03
transcript.pyannote[1849].start 11171.93909375
transcript.pyannote[1849].end 11172.83346875
transcript.pyannote[1850].speaker SPEAKER_03
transcript.pyannote[1850].start 11174.16659375
transcript.pyannote[1850].end 11174.90909375
transcript.pyannote[1851].speaker SPEAKER_03
transcript.pyannote[1851].start 11175.93846875
transcript.pyannote[1851].end 11177.10284375
transcript.pyannote[1852].speaker SPEAKER_03
transcript.pyannote[1852].start 11177.42346875
transcript.pyannote[1852].end 11178.04784375
transcript.pyannote[1853].speaker SPEAKER_03
transcript.pyannote[1853].start 11179.27971875
transcript.pyannote[1853].end 11180.34284375
transcript.pyannote[1854].speaker SPEAKER_03
transcript.pyannote[1854].start 11181.84471875
transcript.pyannote[1854].end 11182.03034375
transcript.pyannote[1855].speaker SPEAKER_02
transcript.pyannote[1855].start 11182.03034375
transcript.pyannote[1855].end 11182.50284375
transcript.pyannote[1856].speaker SPEAKER_02
transcript.pyannote[1856].start 11183.24534375
transcript.pyannote[1856].end 11185.06784375
transcript.pyannote[1857].speaker SPEAKER_02
transcript.pyannote[1857].start 11185.59096875
transcript.pyannote[1857].end 11191.02471875
transcript.pyannote[1858].speaker SPEAKER_02
transcript.pyannote[1858].start 11191.10909375
transcript.pyannote[1858].end 11194.34909375
transcript.pyannote[1859].speaker SPEAKER_02
transcript.pyannote[1859].start 11194.43346875
transcript.pyannote[1859].end 11195.78346875
transcript.pyannote[1860].speaker SPEAKER_02
transcript.pyannote[1860].start 11196.34034375
transcript.pyannote[1860].end 11197.40346875
transcript.pyannote[1861].speaker SPEAKER_02
transcript.pyannote[1861].start 11197.96034375
transcript.pyannote[1861].end 11198.82096875
transcript.pyannote[1862].speaker SPEAKER_02
transcript.pyannote[1862].start 11198.87159375
transcript.pyannote[1862].end 11201.79096875
transcript.pyannote[1863].speaker SPEAKER_02
transcript.pyannote[1863].start 11201.97659375
transcript.pyannote[1863].end 11204.03534375
transcript.pyannote[1864].speaker SPEAKER_02
transcript.pyannote[1864].start 11204.40659375
transcript.pyannote[1864].end 11205.16596875
transcript.pyannote[1865].speaker SPEAKER_02
transcript.pyannote[1865].start 11205.28409375
transcript.pyannote[1865].end 11210.22846875
transcript.pyannote[1866].speaker SPEAKER_02
transcript.pyannote[1866].start 11210.93721875
transcript.pyannote[1866].end 11213.46846875
transcript.pyannote[1867].speaker SPEAKER_02
transcript.pyannote[1867].start 11213.68784375
transcript.pyannote[1867].end 11218.95284375
transcript.pyannote[1868].speaker SPEAKER_02
transcript.pyannote[1868].start 11219.05409375
transcript.pyannote[1868].end 11220.92721875
transcript.pyannote[1869].speaker SPEAKER_02
transcript.pyannote[1869].start 11221.23096875
transcript.pyannote[1869].end 11227.00221875
transcript.pyannote[1870].speaker SPEAKER_03
transcript.pyannote[1870].start 11225.75346875
transcript.pyannote[1870].end 11226.86721875
transcript.pyannote[1871].speaker SPEAKER_02
transcript.pyannote[1871].start 11227.17096875
transcript.pyannote[1871].end 11227.76159375
transcript.pyannote[1872].speaker SPEAKER_03
transcript.pyannote[1872].start 11227.76159375
transcript.pyannote[1872].end 11232.40221875
transcript.pyannote[1873].speaker SPEAKER_03
transcript.pyannote[1873].start 11234.02221875
transcript.pyannote[1873].end 11235.43971875
transcript.pyannote[1874].speaker SPEAKER_03
transcript.pyannote[1874].start 11236.53659375
transcript.pyannote[1874].end 11237.65034375
transcript.pyannote[1875].speaker SPEAKER_03
transcript.pyannote[1875].start 11238.93284375
transcript.pyannote[1875].end 11241.53159375
transcript.pyannote[1876].speaker SPEAKER_02
transcript.pyannote[1876].start 11242.07159375
transcript.pyannote[1876].end 11258.18721875
transcript.pyannote[1877].speaker SPEAKER_03
transcript.pyannote[1877].start 11243.32034375
transcript.pyannote[1877].end 11244.36659375
transcript.pyannote[1878].speaker SPEAKER_03
transcript.pyannote[1878].start 11258.72721875
transcript.pyannote[1878].end 11259.95909375
transcript.pyannote[1879].speaker SPEAKER_03
transcript.pyannote[1879].start 11260.54971875
transcript.pyannote[1879].end 11262.84471875
transcript.pyannote[1880].speaker SPEAKER_03
transcript.pyannote[1880].start 11264.41409375
transcript.pyannote[1880].end 11265.73034375
transcript.pyannote[1881].speaker SPEAKER_03
transcript.pyannote[1881].start 11266.40534375
transcript.pyannote[1881].end 11271.21471875
transcript.pyannote[1882].speaker SPEAKER_03
transcript.pyannote[1882].start 11271.97409375
transcript.pyannote[1882].end 11274.30284375
transcript.pyannote[1883].speaker SPEAKER_03
transcript.pyannote[1883].start 11275.18034375
transcript.pyannote[1883].end 11276.88471875
transcript.pyannote[1884].speaker SPEAKER_03
transcript.pyannote[1884].start 11277.50909375
transcript.pyannote[1884].end 11280.98534375
transcript.pyannote[1885].speaker SPEAKER_03
transcript.pyannote[1885].start 11281.79534375
transcript.pyannote[1885].end 11282.80784375
transcript.pyannote[1886].speaker SPEAKER_03
transcript.pyannote[1886].start 11283.14534375
transcript.pyannote[1886].end 11284.66409375
transcript.pyannote[1887].speaker SPEAKER_03
transcript.pyannote[1887].start 11285.38971875
transcript.pyannote[1887].end 11286.67221875
transcript.pyannote[1888].speaker SPEAKER_03
transcript.pyannote[1888].start 11287.68471875
transcript.pyannote[1888].end 11288.02221875
transcript.pyannote[1889].speaker SPEAKER_03
transcript.pyannote[1889].start 11288.66346875
transcript.pyannote[1889].end 11291.11034375
transcript.pyannote[1890].speaker SPEAKER_03
transcript.pyannote[1890].start 11292.02159375
transcript.pyannote[1890].end 11295.78471875
transcript.pyannote[1891].speaker SPEAKER_03
transcript.pyannote[1891].start 11297.70846875
transcript.pyannote[1891].end 11299.41284375
transcript.pyannote[1892].speaker SPEAKER_03
transcript.pyannote[1892].start 11299.80096875
transcript.pyannote[1892].end 11301.60659375
transcript.pyannote[1893].speaker SPEAKER_03
transcript.pyannote[1893].start 11302.28159375
transcript.pyannote[1893].end 11303.69909375
transcript.pyannote[1894].speaker SPEAKER_03
transcript.pyannote[1894].start 11304.23909375
transcript.pyannote[1894].end 11305.99409375
transcript.pyannote[1895].speaker SPEAKER_03
transcript.pyannote[1895].start 11306.39909375
transcript.pyannote[1895].end 11307.68159375
transcript.pyannote[1896].speaker SPEAKER_03
transcript.pyannote[1896].start 11308.47471875
transcript.pyannote[1896].end 11309.13284375
transcript.pyannote[1897].speaker SPEAKER_03
transcript.pyannote[1897].start 11309.53784375
transcript.pyannote[1897].end 11310.56721875
transcript.pyannote[1898].speaker SPEAKER_03
transcript.pyannote[1898].start 11311.66409375
transcript.pyannote[1898].end 11312.98034375
transcript.pyannote[1899].speaker SPEAKER_03
transcript.pyannote[1899].start 11313.92534375
transcript.pyannote[1899].end 11314.66784375
transcript.pyannote[1900].speaker SPEAKER_03
transcript.pyannote[1900].start 11315.24159375
transcript.pyannote[1900].end 11320.33784375
transcript.pyannote[1901].speaker SPEAKER_03
transcript.pyannote[1901].start 11320.86096875
transcript.pyannote[1901].end 11326.68284375
transcript.pyannote[1902].speaker SPEAKER_03
transcript.pyannote[1902].start 11326.80096875
transcript.pyannote[1902].end 11331.66096875
transcript.pyannote[1903].speaker SPEAKER_03
transcript.pyannote[1903].start 11331.99846875
transcript.pyannote[1903].end 11332.04909375
transcript.pyannote[1904].speaker SPEAKER_03
transcript.pyannote[1904].start 11332.18409375
transcript.pyannote[1904].end 11332.89284375
transcript.pyannote[1905].speaker SPEAKER_28
transcript.pyannote[1905].start 11333.33159375
transcript.pyannote[1905].end 11340.57096875
transcript.pyannote[1906].speaker SPEAKER_29
transcript.pyannote[1906].start 11348.33346875
transcript.pyannote[1906].end 11350.03784375
transcript.pyannote[1907].speaker SPEAKER_28
transcript.pyannote[1907].start 11350.12221875
transcript.pyannote[1907].end 11351.37096875
transcript.pyannote[1908].speaker SPEAKER_29
transcript.pyannote[1908].start 11357.27721875
transcript.pyannote[1908].end 11357.31096875
transcript.pyannote[1909].speaker SPEAKER_02
transcript.pyannote[1909].start 11357.31096875
transcript.pyannote[1909].end 11358.07034375
transcript.pyannote[1910].speaker SPEAKER_29
transcript.pyannote[1910].start 11358.07034375
transcript.pyannote[1910].end 11374.62471875
transcript.pyannote[1911].speaker SPEAKER_29
transcript.pyannote[1911].start 11374.74284375
transcript.pyannote[1911].end 11376.46409375
transcript.pyannote[1912].speaker SPEAKER_29
transcript.pyannote[1912].start 11376.88596875
transcript.pyannote[1912].end 11379.95721875
transcript.pyannote[1913].speaker SPEAKER_29
transcript.pyannote[1913].start 11379.97409375
transcript.pyannote[1913].end 11380.02471875
transcript.pyannote[1914].speaker SPEAKER_29
transcript.pyannote[1914].start 11380.09221875
transcript.pyannote[1914].end 11387.71971875
transcript.pyannote[1915].speaker SPEAKER_29
transcript.pyannote[1915].start 11399.76846875
transcript.pyannote[1915].end 11405.10096875
transcript.pyannote[1916].speaker SPEAKER_29
transcript.pyannote[1916].start 11405.42159375
transcript.pyannote[1916].end 11416.72784375
transcript.pyannote[1917].speaker SPEAKER_29
transcript.pyannote[1917].start 11417.03159375
transcript.pyannote[1917].end 11425.58721875
transcript.pyannote[1918].speaker SPEAKER_29
transcript.pyannote[1918].start 11425.89096875
transcript.pyannote[1918].end 11427.54471875
transcript.pyannote[1919].speaker SPEAKER_29
transcript.pyannote[1919].start 11427.76409375
transcript.pyannote[1919].end 11429.09721875
transcript.pyannote[1920].speaker SPEAKER_02
transcript.pyannote[1920].start 11431.32471875
transcript.pyannote[1920].end 11434.44659375
transcript.pyannote[1921].speaker SPEAKER_02
transcript.pyannote[1921].start 11434.93596875
transcript.pyannote[1921].end 11438.54721875
transcript.pyannote[1922].speaker SPEAKER_02
transcript.pyannote[1922].start 11439.35721875
transcript.pyannote[1922].end 11442.12471875
transcript.pyannote[1923].speaker SPEAKER_02
transcript.pyannote[1923].start 11442.20909375
transcript.pyannote[1923].end 11442.52971875
transcript.pyannote[1924].speaker SPEAKER_02
transcript.pyannote[1924].start 11442.79971875
transcript.pyannote[1924].end 11443.08659375
transcript.pyannote[1925].speaker SPEAKER_02
transcript.pyannote[1925].start 11443.54221875
transcript.pyannote[1925].end 11447.22096875
transcript.pyannote[1926].speaker SPEAKER_29
transcript.pyannote[1926].start 11444.97659375
transcript.pyannote[1926].end 11445.19596875
transcript.pyannote[1927].speaker SPEAKER_29
transcript.pyannote[1927].start 11447.22096875
transcript.pyannote[1927].end 11447.25471875
transcript.pyannote[1928].speaker SPEAKER_02
transcript.pyannote[1928].start 11447.25471875
transcript.pyannote[1928].end 11447.27159375
transcript.pyannote[1929].speaker SPEAKER_02
transcript.pyannote[1929].start 11447.45721875
transcript.pyannote[1929].end 11448.18284375
transcript.pyannote[1930].speaker SPEAKER_29
transcript.pyannote[1930].start 11448.18284375
transcript.pyannote[1930].end 11471.03159375
transcript.pyannote[1931].speaker SPEAKER_02
transcript.pyannote[1931].start 11448.30096875
transcript.pyannote[1931].end 11449.63409375
transcript.pyannote[1932].speaker SPEAKER_29
transcript.pyannote[1932].start 11471.38596875
transcript.pyannote[1932].end 11483.41784375
transcript.pyannote[1933].speaker SPEAKER_29
transcript.pyannote[1933].start 11484.31221875
transcript.pyannote[1933].end 11485.45971875
transcript.pyannote[1934].speaker SPEAKER_29
transcript.pyannote[1934].start 11486.08409375
transcript.pyannote[1934].end 11493.96471875
transcript.pyannote[1935].speaker SPEAKER_29
transcript.pyannote[1935].start 11494.28534375
transcript.pyannote[1935].end 11501.27159375
transcript.pyannote[1936].speaker SPEAKER_29
transcript.pyannote[1936].start 11501.76096875
transcript.pyannote[1936].end 11506.51971875
transcript.pyannote[1937].speaker SPEAKER_29
transcript.pyannote[1937].start 11506.99221875
transcript.pyannote[1937].end 11510.90721875
transcript.pyannote[1938].speaker SPEAKER_29
transcript.pyannote[1938].start 11511.21096875
transcript.pyannote[1938].end 11513.53971875
transcript.pyannote[1939].speaker SPEAKER_29
transcript.pyannote[1939].start 11513.84346875
transcript.pyannote[1939].end 11516.62784375
transcript.pyannote[1940].speaker SPEAKER_29
transcript.pyannote[1940].start 11516.94846875
transcript.pyannote[1940].end 11520.37409375
transcript.pyannote[1941].speaker SPEAKER_29
transcript.pyannote[1941].start 11520.77909375
transcript.pyannote[1941].end 11527.76534375
transcript.pyannote[1942].speaker SPEAKER_29
transcript.pyannote[1942].start 11528.23784375
transcript.pyannote[1942].end 11530.95471875
transcript.pyannote[1943].speaker SPEAKER_29
transcript.pyannote[1943].start 11531.27534375
transcript.pyannote[1943].end 11535.46034375
transcript.pyannote[1944].speaker SPEAKER_29
transcript.pyannote[1944].start 11535.52784375
transcript.pyannote[1944].end 11544.52221875
transcript.pyannote[1945].speaker SPEAKER_29
transcript.pyannote[1945].start 11545.11284375
transcript.pyannote[1945].end 11545.53471875
transcript.pyannote[1946].speaker SPEAKER_29
transcript.pyannote[1946].start 11546.42909375
transcript.pyannote[1946].end 11556.38534375
transcript.pyannote[1947].speaker SPEAKER_02
transcript.pyannote[1947].start 11558.91659375
transcript.pyannote[1947].end 11564.45159375
transcript.pyannote[1948].speaker SPEAKER_22
transcript.pyannote[1948].start 11564.45159375
transcript.pyannote[1948].end 11564.70471875
transcript.pyannote[1949].speaker SPEAKER_02
transcript.pyannote[1949].start 11564.70471875
transcript.pyannote[1949].end 11568.92346875
transcript.pyannote[1950].speaker SPEAKER_22
transcript.pyannote[1950].start 11564.75534375
transcript.pyannote[1950].end 11564.97471875
transcript.pyannote[1951].speaker SPEAKER_02
transcript.pyannote[1951].start 11569.51409375
transcript.pyannote[1951].end 11578.13721875
transcript.pyannote[1952].speaker SPEAKER_29
transcript.pyannote[1952].start 11574.32346875
transcript.pyannote[1952].end 11618.60346875
transcript.pyannote[1953].speaker SPEAKER_29
transcript.pyannote[1953].start 11618.63721875
transcript.pyannote[1953].end 11625.96096875
transcript.pyannote[1954].speaker SPEAKER_29
transcript.pyannote[1954].start 11626.39971875
transcript.pyannote[1954].end 11630.65221875
transcript.pyannote[1955].speaker SPEAKER_29
transcript.pyannote[1955].start 11631.04034375
transcript.pyannote[1955].end 11632.39034375
transcript.pyannote[1956].speaker SPEAKER_29
transcript.pyannote[1956].start 11632.87971875
transcript.pyannote[1956].end 11634.65159375
transcript.pyannote[1957].speaker SPEAKER_29
transcript.pyannote[1957].start 11634.97221875
transcript.pyannote[1957].end 11672.06346875
transcript.pyannote[1958].speaker SPEAKER_29
transcript.pyannote[1958].start 11672.35034375
transcript.pyannote[1958].end 11677.91909375
transcript.pyannote[1959].speaker SPEAKER_29
transcript.pyannote[1959].start 11678.10471875
transcript.pyannote[1959].end 11687.31846875
transcript.pyannote[1960].speaker SPEAKER_29
transcript.pyannote[1960].start 11687.85846875
transcript.pyannote[1960].end 11707.16346875
transcript.pyannote[1961].speaker SPEAKER_29
transcript.pyannote[1961].start 11707.60221875
transcript.pyannote[1961].end 11715.98909375
transcript.pyannote[1962].speaker SPEAKER_02
transcript.pyannote[1962].start 11716.73159375
transcript.pyannote[1962].end 11716.76534375
transcript.pyannote[1963].speaker SPEAKER_29
transcript.pyannote[1963].start 11716.76534375
transcript.pyannote[1963].end 11717.10284375
transcript.pyannote[1964].speaker SPEAKER_29
transcript.pyannote[1964].start 11717.23784375
transcript.pyannote[1964].end 11718.16596875
transcript.pyannote[1965].speaker SPEAKER_28
transcript.pyannote[1965].start 11720.42721875
transcript.pyannote[1965].end 11726.48534375
transcript.pyannote[1966].speaker SPEAKER_26
transcript.pyannote[1966].start 11737.28534375
transcript.pyannote[1966].end 11738.71971875
transcript.pyannote[1967].speaker SPEAKER_26
transcript.pyannote[1967].start 11740.89659375
transcript.pyannote[1967].end 11743.74846875
transcript.pyannote[1968].speaker SPEAKER_26
transcript.pyannote[1968].start 11743.98471875
transcript.pyannote[1968].end 11744.03534375
transcript.pyannote[1969].speaker SPEAKER_28
transcript.pyannote[1969].start 11744.03534375
transcript.pyannote[1969].end 11747.71409375
transcript.pyannote[1970].speaker SPEAKER_28
transcript.pyannote[1970].start 11748.38909375
transcript.pyannote[1970].end 11748.92909375
transcript.pyannote[1971].speaker SPEAKER_26
transcript.pyannote[1971].start 11749.26659375
transcript.pyannote[1971].end 11750.76846875
transcript.pyannote[1972].speaker SPEAKER_26
transcript.pyannote[1972].start 11751.37596875
transcript.pyannote[1972].end 11753.65409375
transcript.pyannote[1973].speaker SPEAKER_26
transcript.pyannote[1973].start 11754.10971875
transcript.pyannote[1973].end 11754.70034375
transcript.pyannote[1974].speaker SPEAKER_26
transcript.pyannote[1974].start 11755.17284375
transcript.pyannote[1974].end 11760.40409375
transcript.pyannote[1975].speaker SPEAKER_26
transcript.pyannote[1975].start 11760.75846875
transcript.pyannote[1975].end 11762.07471875
transcript.pyannote[1976].speaker SPEAKER_26
transcript.pyannote[1976].start 11762.26034375
transcript.pyannote[1976].end 11765.12909375
transcript.pyannote[1977].speaker SPEAKER_26
transcript.pyannote[1977].start 11765.73659375
transcript.pyannote[1977].end 11766.68159375
transcript.pyannote[1978].speaker SPEAKER_26
transcript.pyannote[1978].start 11766.98534375
transcript.pyannote[1978].end 11771.91284375
transcript.pyannote[1979].speaker SPEAKER_26
transcript.pyannote[1979].start 11772.26721875
transcript.pyannote[1979].end 11772.94221875
transcript.pyannote[1980].speaker SPEAKER_26
transcript.pyannote[1980].start 11774.14034375
transcript.pyannote[1980].end 11778.79784375
transcript.pyannote[1981].speaker SPEAKER_26
transcript.pyannote[1981].start 11779.38846875
transcript.pyannote[1981].end 11781.98721875
transcript.pyannote[1982].speaker SPEAKER_26
transcript.pyannote[1982].start 11782.42596875
transcript.pyannote[1982].end 11783.03346875
transcript.pyannote[1983].speaker SPEAKER_26
transcript.pyannote[1983].start 11783.62409375
transcript.pyannote[1983].end 11787.57284375
transcript.pyannote[1984].speaker SPEAKER_26
transcript.pyannote[1984].start 11788.24784375
transcript.pyannote[1984].end 11788.53471875
transcript.pyannote[1985].speaker SPEAKER_26
transcript.pyannote[1985].start 11788.85534375
transcript.pyannote[1985].end 11793.39471875
transcript.pyannote[1986].speaker SPEAKER_26
transcript.pyannote[1986].start 11793.95159375
transcript.pyannote[1986].end 11795.99346875
transcript.pyannote[1987].speaker SPEAKER_26
transcript.pyannote[1987].start 11796.17909375
transcript.pyannote[1987].end 11801.08971875
transcript.pyannote[1988].speaker SPEAKER_26
transcript.pyannote[1988].start 11801.32596875
transcript.pyannote[1988].end 11833.08471875
transcript.pyannote[1989].speaker SPEAKER_26
transcript.pyannote[1989].start 11833.91159375
transcript.pyannote[1989].end 11845.79159375
transcript.pyannote[1990].speaker SPEAKER_26
transcript.pyannote[1990].start 11846.26409375
transcript.pyannote[1990].end 11847.24284375
transcript.pyannote[1991].speaker SPEAKER_26
transcript.pyannote[1991].start 11848.54221875
transcript.pyannote[1991].end 11848.86284375
transcript.pyannote[1992].speaker SPEAKER_02
transcript.pyannote[1992].start 11849.33534375
transcript.pyannote[1992].end 11855.00534375
transcript.pyannote[1993].speaker SPEAKER_26
transcript.pyannote[1993].start 11854.09409375
transcript.pyannote[1993].end 11854.11096875
transcript.pyannote[1994].speaker SPEAKER_22
transcript.pyannote[1994].start 11854.11096875
transcript.pyannote[1994].end 11854.65096875
transcript.pyannote[1995].speaker SPEAKER_22
transcript.pyannote[1995].start 11855.00534375
transcript.pyannote[1995].end 11855.02221875
transcript.pyannote[1996].speaker SPEAKER_02
transcript.pyannote[1996].start 11855.02221875
transcript.pyannote[1996].end 11855.03909375
transcript.pyannote[1997].speaker SPEAKER_02
transcript.pyannote[1997].start 11855.29221875
transcript.pyannote[1997].end 11855.71409375
transcript.pyannote[1998].speaker SPEAKER_02
transcript.pyannote[1998].start 11856.54096875
transcript.pyannote[1998].end 11866.26096875
transcript.pyannote[1999].speaker SPEAKER_26
transcript.pyannote[1999].start 11860.79346875
transcript.pyannote[1999].end 11862.75096875
transcript.pyannote[2000].speaker SPEAKER_26
transcript.pyannote[2000].start 11865.45096875
transcript.pyannote[2000].end 11865.48471875
transcript.pyannote[2001].speaker SPEAKER_22
transcript.pyannote[2001].start 11865.48471875
transcript.pyannote[2001].end 11865.97409375
transcript.pyannote[2002].speaker SPEAKER_02
transcript.pyannote[2002].start 11866.49721875
transcript.pyannote[2002].end 11871.94784375
transcript.pyannote[2003].speaker SPEAKER_22
transcript.pyannote[2003].start 11870.42909375
transcript.pyannote[2003].end 11870.73284375
transcript.pyannote[2004].speaker SPEAKER_02
transcript.pyannote[2004].start 11872.08284375
transcript.pyannote[2004].end 11875.64346875
transcript.pyannote[2005].speaker SPEAKER_02
transcript.pyannote[2005].start 11876.52096875
transcript.pyannote[2005].end 11879.00159375
transcript.pyannote[2006].speaker SPEAKER_02
transcript.pyannote[2006].start 11879.45721875
transcript.pyannote[2006].end 11884.35096875
transcript.pyannote[2007].speaker SPEAKER_26
transcript.pyannote[2007].start 11883.15284375
transcript.pyannote[2007].end 11902.37346875
transcript.pyannote[2008].speaker SPEAKER_02
transcript.pyannote[2008].start 11902.47471875
transcript.pyannote[2008].end 11903.41971875
transcript.pyannote[2009].speaker SPEAKER_02
transcript.pyannote[2009].start 11903.62221875
transcript.pyannote[2009].end 11906.91284375
transcript.pyannote[2010].speaker SPEAKER_22
transcript.pyannote[2010].start 11907.45284375
transcript.pyannote[2010].end 11907.67221875
transcript.pyannote[2011].speaker SPEAKER_02
transcript.pyannote[2011].start 11907.85784375
transcript.pyannote[2011].end 11910.33846875
transcript.pyannote[2012].speaker SPEAKER_02
transcript.pyannote[2012].start 11910.97971875
transcript.pyannote[2012].end 11912.54909375
transcript.pyannote[2013].speaker SPEAKER_02
transcript.pyannote[2013].start 11913.39284375
transcript.pyannote[2013].end 11915.82284375
transcript.pyannote[2014].speaker SPEAKER_02
transcript.pyannote[2014].start 11916.68346875
transcript.pyannote[2014].end 11918.26971875
transcript.pyannote[2015].speaker SPEAKER_02
transcript.pyannote[2015].start 11918.99534375
transcript.pyannote[2015].end 11922.69096875
transcript.pyannote[2016].speaker SPEAKER_02
transcript.pyannote[2016].start 11923.39971875
transcript.pyannote[2016].end 11924.41221875
transcript.pyannote[2017].speaker SPEAKER_22
transcript.pyannote[2017].start 11924.41221875
transcript.pyannote[2017].end 11924.68221875
transcript.pyannote[2018].speaker SPEAKER_02
transcript.pyannote[2018].start 11924.68221875
transcript.pyannote[2018].end 11933.05221875
transcript.pyannote[2019].speaker SPEAKER_22
transcript.pyannote[2019].start 11928.93471875
transcript.pyannote[2019].end 11929.76159375
transcript.pyannote[2020].speaker SPEAKER_26
transcript.pyannote[2020].start 11929.76159375
transcript.pyannote[2020].end 11929.77846875
transcript.pyannote[2021].speaker SPEAKER_02
transcript.pyannote[2021].start 11933.40659375
transcript.pyannote[2021].end 11935.53284375
transcript.pyannote[2022].speaker SPEAKER_26
transcript.pyannote[2022].start 11935.63409375
transcript.pyannote[2022].end 11968.20284375
transcript.pyannote[2023].speaker SPEAKER_02
transcript.pyannote[2023].start 11968.28721875
transcript.pyannote[2023].end 11976.64034375
transcript.pyannote[2024].speaker SPEAKER_26
transcript.pyannote[2024].start 11977.01159375
transcript.pyannote[2024].end 11979.35721875
transcript.pyannote[2025].speaker SPEAKER_26
transcript.pyannote[2025].start 11980.92659375
transcript.pyannote[2025].end 11994.00471875
transcript.pyannote[2026].speaker SPEAKER_26
transcript.pyannote[2026].start 11995.27034375
transcript.pyannote[2026].end 12006.72846875
transcript.pyannote[2027].speaker SPEAKER_26
transcript.pyannote[2027].start 12008.90534375
transcript.pyannote[2027].end 12009.17534375
transcript.pyannote[2028].speaker SPEAKER_14
transcript.pyannote[2028].start 12011.03159375
transcript.pyannote[2028].end 12019.57034375
transcript.pyannote[2029].speaker SPEAKER_26
transcript.pyannote[2029].start 12019.11471875
transcript.pyannote[2029].end 12019.14846875
transcript.pyannote[2030].speaker SPEAKER_22
transcript.pyannote[2030].start 12019.14846875
transcript.pyannote[2030].end 12019.92471875
transcript.pyannote[2031].speaker SPEAKER_14
transcript.pyannote[2031].start 12019.65471875
transcript.pyannote[2031].end 12019.67159375
transcript.pyannote[2032].speaker SPEAKER_14
transcript.pyannote[2032].start 12019.92471875
transcript.pyannote[2032].end 12020.43096875
transcript.pyannote[2033].speaker SPEAKER_14
transcript.pyannote[2033].start 12020.75159375
transcript.pyannote[2033].end 12032.58096875
transcript.pyannote[2034].speaker SPEAKER_00
transcript.pyannote[2034].start 12028.96971875
transcript.pyannote[2034].end 12029.02034375
transcript.pyannote[2035].speaker SPEAKER_22
transcript.pyannote[2035].start 12029.02034375
transcript.pyannote[2035].end 12029.03721875
transcript.pyannote[2036].speaker SPEAKER_00
transcript.pyannote[2036].start 12029.03721875
transcript.pyannote[2036].end 12029.39159375
transcript.pyannote[2037].speaker SPEAKER_14
transcript.pyannote[2037].start 12033.10409375
transcript.pyannote[2037].end 12049.96221875
transcript.pyannote[2038].speaker SPEAKER_00
transcript.pyannote[2038].start 12034.43721875
transcript.pyannote[2038].end 12036.47909375
transcript.pyannote[2039].speaker SPEAKER_26
transcript.pyannote[2039].start 12043.43159375
transcript.pyannote[2039].end 12043.87034375
transcript.pyannote[2040].speaker SPEAKER_26
transcript.pyannote[2040].start 12048.98346875
transcript.pyannote[2040].end 12056.72909375
transcript.pyannote[2041].speaker SPEAKER_26
transcript.pyannote[2041].start 12057.06659375
transcript.pyannote[2041].end 12062.19659375
transcript.pyannote[2042].speaker SPEAKER_26
transcript.pyannote[2042].start 12062.61846875
transcript.pyannote[2042].end 12068.59221875
transcript.pyannote[2043].speaker SPEAKER_26
transcript.pyannote[2043].start 12068.98034375
transcript.pyannote[2043].end 12069.28409375
transcript.pyannote[2044].speaker SPEAKER_26
transcript.pyannote[2044].start 12070.24596875
transcript.pyannote[2044].end 12074.41409375
transcript.pyannote[2045].speaker SPEAKER_02
transcript.pyannote[2045].start 12071.98409375
transcript.pyannote[2045].end 12072.92909375
transcript.pyannote[2046].speaker SPEAKER_26
transcript.pyannote[2046].start 12074.44784375
transcript.pyannote[2046].end 12077.43471875
transcript.pyannote[2047].speaker SPEAKER_26
transcript.pyannote[2047].start 12078.02534375
transcript.pyannote[2047].end 12082.71659375
transcript.pyannote[2048].speaker SPEAKER_26
transcript.pyannote[2048].start 12083.22284375
transcript.pyannote[2048].end 12085.77096875
transcript.pyannote[2049].speaker SPEAKER_02
transcript.pyannote[2049].start 12086.80034375
transcript.pyannote[2049].end 12089.44971875
transcript.pyannote[2050].speaker SPEAKER_02
transcript.pyannote[2050].start 12089.90534375
transcript.pyannote[2050].end 12098.41034375
transcript.pyannote[2051].speaker SPEAKER_22
transcript.pyannote[2051].start 12093.21284375
transcript.pyannote[2051].end 12093.55034375
transcript.pyannote[2052].speaker SPEAKER_22
transcript.pyannote[2052].start 12096.41909375
transcript.pyannote[2052].end 12096.90846875
transcript.pyannote[2053].speaker SPEAKER_22
transcript.pyannote[2053].start 12097.88721875
transcript.pyannote[2053].end 12098.84909375
transcript.pyannote[2054].speaker SPEAKER_02
transcript.pyannote[2054].start 12098.69721875
transcript.pyannote[2054].end 12102.20721875
transcript.pyannote[2055].speaker SPEAKER_02
transcript.pyannote[2055].start 12102.98346875
transcript.pyannote[2055].end 12112.60221875
transcript.pyannote[2056].speaker SPEAKER_22
transcript.pyannote[2056].start 12111.11721875
transcript.pyannote[2056].end 12111.30284375
transcript.pyannote[2057].speaker SPEAKER_22
transcript.pyannote[2057].start 12112.87221875
transcript.pyannote[2057].end 12112.88909375
transcript.pyannote[2058].speaker SPEAKER_02
transcript.pyannote[2058].start 12112.88909375
transcript.pyannote[2058].end 12119.03159375
transcript.pyannote[2059].speaker SPEAKER_22
transcript.pyannote[2059].start 12113.00721875
transcript.pyannote[2059].end 12113.37846875
transcript.pyannote[2060].speaker SPEAKER_26
transcript.pyannote[2060].start 12119.03159375
transcript.pyannote[2060].end 12123.31784375
transcript.pyannote[2061].speaker SPEAKER_26
transcript.pyannote[2061].start 12123.97596875
transcript.pyannote[2061].end 12130.10159375
transcript.pyannote[2062].speaker SPEAKER_02
transcript.pyannote[2062].start 12130.37159375
transcript.pyannote[2062].end 12135.75471875
transcript.pyannote[2063].speaker SPEAKER_02
transcript.pyannote[2063].start 12136.12596875
transcript.pyannote[2063].end 12139.46721875
transcript.pyannote[2064].speaker SPEAKER_26
transcript.pyannote[2064].start 12138.80909375
transcript.pyannote[2064].end 12138.97784375
transcript.pyannote[2065].speaker SPEAKER_26
transcript.pyannote[2065].start 12138.99471875
transcript.pyannote[2065].end 12139.02846875
transcript.pyannote[2066].speaker SPEAKER_26
transcript.pyannote[2066].start 12140.46284375
transcript.pyannote[2066].end 12143.87159375
transcript.pyannote[2067].speaker SPEAKER_02
transcript.pyannote[2067].start 12143.58471875
transcript.pyannote[2067].end 12146.16659375
transcript.pyannote[2068].speaker SPEAKER_26
transcript.pyannote[2068].start 12145.86284375
transcript.pyannote[2068].end 12151.36409375
transcript.pyannote[2069].speaker SPEAKER_26
transcript.pyannote[2069].start 12151.61721875
transcript.pyannote[2069].end 12157.16909375
transcript.pyannote[2070].speaker SPEAKER_26
transcript.pyannote[2070].start 12158.70471875
transcript.pyannote[2070].end 12165.26909375
transcript.pyannote[2071].speaker SPEAKER_26
transcript.pyannote[2071].start 12166.06221875
transcript.pyannote[2071].end 12174.21284375
transcript.pyannote[2072].speaker SPEAKER_02
transcript.pyannote[2072].start 12174.76971875
transcript.pyannote[2072].end 12185.40096875
transcript.pyannote[2073].speaker SPEAKER_02
transcript.pyannote[2073].start 12185.80596875
transcript.pyannote[2073].end 12193.56846875
transcript.pyannote[2074].speaker SPEAKER_26
transcript.pyannote[2074].start 12191.94846875
transcript.pyannote[2074].end 12192.67409375
transcript.pyannote[2075].speaker SPEAKER_26
transcript.pyannote[2075].start 12193.56846875
transcript.pyannote[2075].end 12197.75346875
transcript.pyannote[2076].speaker SPEAKER_26
transcript.pyannote[2076].start 12198.00659375
transcript.pyannote[2076].end 12221.32784375
transcript.pyannote[2077].speaker SPEAKER_26
transcript.pyannote[2077].start 12221.83409375
transcript.pyannote[2077].end 12225.24284375
transcript.pyannote[2078].speaker SPEAKER_26
transcript.pyannote[2078].start 12225.46221875
transcript.pyannote[2078].end 12234.45659375
transcript.pyannote[2079].speaker SPEAKER_26
transcript.pyannote[2079].start 12234.74346875
transcript.pyannote[2079].end 12236.78534375
transcript.pyannote[2080].speaker SPEAKER_26
transcript.pyannote[2080].start 12237.12284375
transcript.pyannote[2080].end 12263.75159375
transcript.pyannote[2081].speaker SPEAKER_26
transcript.pyannote[2081].start 12264.35909375
transcript.pyannote[2081].end 12281.55471875
transcript.pyannote[2082].speaker SPEAKER_26
transcript.pyannote[2082].start 12281.84159375
transcript.pyannote[2082].end 12288.87846875
transcript.pyannote[2083].speaker SPEAKER_26
transcript.pyannote[2083].start 12289.78971875
transcript.pyannote[2083].end 12289.95846875
transcript.pyannote[2084].speaker SPEAKER_02
transcript.pyannote[2084].start 12290.22846875
transcript.pyannote[2084].end 12292.35471875
transcript.pyannote[2085].speaker SPEAKER_02
transcript.pyannote[2085].start 12292.72596875
transcript.pyannote[2085].end 12295.12221875
transcript.pyannote[2086].speaker SPEAKER_02
transcript.pyannote[2086].start 12295.34159375
transcript.pyannote[2086].end 12297.33284375
transcript.pyannote[2087].speaker SPEAKER_02
transcript.pyannote[2087].start 12297.63659375
transcript.pyannote[2087].end 12304.38659375
transcript.pyannote[2088].speaker SPEAKER_26
transcript.pyannote[2088].start 12299.71221875
transcript.pyannote[2088].end 12300.06659375
transcript.pyannote[2089].speaker SPEAKER_00
transcript.pyannote[2089].start 12300.06659375
transcript.pyannote[2089].end 12300.10034375
transcript.pyannote[2090].speaker SPEAKER_26
transcript.pyannote[2090].start 12300.21846875
transcript.pyannote[2090].end 12300.72471875
transcript.pyannote[2091].speaker SPEAKER_26
transcript.pyannote[2091].start 12304.38659375
transcript.pyannote[2091].end 12328.38284375
transcript.pyannote[2092].speaker SPEAKER_26
transcript.pyannote[2092].start 12329.83409375
transcript.pyannote[2092].end 12330.10409375
transcript.pyannote[2093].speaker SPEAKER_26
transcript.pyannote[2093].start 12330.64409375
transcript.pyannote[2093].end 12331.28534375
transcript.pyannote[2094].speaker SPEAKER_28
transcript.pyannote[2094].start 12331.53846875
transcript.pyannote[2094].end 12337.12409375
transcript.pyannote[2095].speaker SPEAKER_01
transcript.pyannote[2095].start 12347.73846875
transcript.pyannote[2095].end 12350.25284375
transcript.pyannote[2096].speaker SPEAKER_28
transcript.pyannote[2096].start 12350.26971875
transcript.pyannote[2096].end 12351.28221875
transcript.pyannote[2097].speaker SPEAKER_02
transcript.pyannote[2097].start 12357.30659375
transcript.pyannote[2097].end 12357.84659375
transcript.pyannote[2098].speaker SPEAKER_01
transcript.pyannote[2098].start 12357.84659375
transcript.pyannote[2098].end 12366.60471875
transcript.pyannote[2099].speaker SPEAKER_01
transcript.pyannote[2099].start 12366.90846875
transcript.pyannote[2099].end 12386.07846875
transcript.pyannote[2100].speaker SPEAKER_01
transcript.pyannote[2100].start 12386.36534375
transcript.pyannote[2100].end 12397.55346875
transcript.pyannote[2101].speaker SPEAKER_02
transcript.pyannote[2101].start 12398.48159375
transcript.pyannote[2101].end 12400.96221875
transcript.pyannote[2102].speaker SPEAKER_01
transcript.pyannote[2102].start 12400.89471875
transcript.pyannote[2102].end 12400.92846875
transcript.pyannote[2103].speaker SPEAKER_01
transcript.pyannote[2103].start 12400.96221875
transcript.pyannote[2103].end 12401.58659375
transcript.pyannote[2104].speaker SPEAKER_23
transcript.pyannote[2104].start 12406.66596875
transcript.pyannote[2104].end 12425.16096875
transcript.pyannote[2105].speaker SPEAKER_01
transcript.pyannote[2105].start 12425.46471875
transcript.pyannote[2105].end 12430.64534375
transcript.pyannote[2106].speaker SPEAKER_23
transcript.pyannote[2106].start 12430.79721875
transcript.pyannote[2106].end 12447.63846875
transcript.pyannote[2107].speaker SPEAKER_01
transcript.pyannote[2107].start 12446.96346875
transcript.pyannote[2107].end 12456.34596875
transcript.pyannote[2108].speaker SPEAKER_23
transcript.pyannote[2108].start 12456.37971875
transcript.pyannote[2108].end 12456.90284375
transcript.pyannote[2109].speaker SPEAKER_23
transcript.pyannote[2109].start 12457.00409375
transcript.pyannote[2109].end 12465.55971875
transcript.pyannote[2110].speaker SPEAKER_01
transcript.pyannote[2110].start 12457.07159375
transcript.pyannote[2110].end 12457.81409375
transcript.pyannote[2111].speaker SPEAKER_01
transcript.pyannote[2111].start 12464.19284375
transcript.pyannote[2111].end 12472.63034375
transcript.pyannote[2112].speaker SPEAKER_01
transcript.pyannote[2112].start 12472.83284375
transcript.pyannote[2112].end 12475.56659375
transcript.pyannote[2113].speaker SPEAKER_23
transcript.pyannote[2113].start 12475.71846875
transcript.pyannote[2113].end 12482.14784375
transcript.pyannote[2114].speaker SPEAKER_23
transcript.pyannote[2114].start 12482.56971875
transcript.pyannote[2114].end 12484.15596875
transcript.pyannote[2115].speaker SPEAKER_23
transcript.pyannote[2115].start 12484.47659375
transcript.pyannote[2115].end 12490.77096875
transcript.pyannote[2116].speaker SPEAKER_23
transcript.pyannote[2116].start 12490.78784375
transcript.pyannote[2116].end 12490.80471875
transcript.pyannote[2117].speaker SPEAKER_01
transcript.pyannote[2117].start 12490.80471875
transcript.pyannote[2117].end 12494.98971875
transcript.pyannote[2118].speaker SPEAKER_23
transcript.pyannote[2118].start 12491.02409375
transcript.pyannote[2118].end 12491.61471875
transcript.pyannote[2119].speaker SPEAKER_23
transcript.pyannote[2119].start 12495.17534375
transcript.pyannote[2119].end 12499.96784375
transcript.pyannote[2120].speaker SPEAKER_01
transcript.pyannote[2120].start 12499.84971875
transcript.pyannote[2120].end 12509.43471875
transcript.pyannote[2121].speaker SPEAKER_23
transcript.pyannote[2121].start 12500.27159375
transcript.pyannote[2121].end 12501.21659375
transcript.pyannote[2122].speaker SPEAKER_01
transcript.pyannote[2122].start 12509.89034375
transcript.pyannote[2122].end 12511.94909375
transcript.pyannote[2123].speaker SPEAKER_23
transcript.pyannote[2123].start 12511.20659375
transcript.pyannote[2123].end 12511.79721875
transcript.pyannote[2124].speaker SPEAKER_23
transcript.pyannote[2124].start 12512.13471875
transcript.pyannote[2124].end 12512.48909375
transcript.pyannote[2125].speaker SPEAKER_23
transcript.pyannote[2125].start 12512.77596875
transcript.pyannote[2125].end 12513.60284375
transcript.pyannote[2126].speaker SPEAKER_01
transcript.pyannote[2126].start 12513.80534375
transcript.pyannote[2126].end 12514.80096875
transcript.pyannote[2127].speaker SPEAKER_23
transcript.pyannote[2127].start 12515.02034375
transcript.pyannote[2127].end 12515.35784375
transcript.pyannote[2128].speaker SPEAKER_01
transcript.pyannote[2128].start 12515.37471875
transcript.pyannote[2128].end 12518.29409375
transcript.pyannote[2129].speaker SPEAKER_01
transcript.pyannote[2129].start 12518.34471875
transcript.pyannote[2129].end 12518.39534375
transcript.pyannote[2130].speaker SPEAKER_23
transcript.pyannote[2130].start 12518.39534375
transcript.pyannote[2130].end 12518.66534375
transcript.pyannote[2131].speaker SPEAKER_01
transcript.pyannote[2131].start 12518.66534375
transcript.pyannote[2131].end 12519.49221875
transcript.pyannote[2132].speaker SPEAKER_01
transcript.pyannote[2132].start 12519.88034375
transcript.pyannote[2132].end 12520.21784375
transcript.pyannote[2133].speaker SPEAKER_01
transcript.pyannote[2133].start 12520.65659375
transcript.pyannote[2133].end 12521.95596875
transcript.pyannote[2134].speaker SPEAKER_01
transcript.pyannote[2134].start 12522.22596875
transcript.pyannote[2134].end 12536.50221875
transcript.pyannote[2135].speaker SPEAKER_23
transcript.pyannote[2135].start 12540.11346875
transcript.pyannote[2135].end 12554.81159375
transcript.pyannote[2136].speaker SPEAKER_01
transcript.pyannote[2136].start 12553.91721875
transcript.pyannote[2136].end 12556.27971875
transcript.pyannote[2137].speaker SPEAKER_23
transcript.pyannote[2137].start 12556.29659375
transcript.pyannote[2137].end 12561.54471875
transcript.pyannote[2138].speaker SPEAKER_23
transcript.pyannote[2138].start 12561.81471875
transcript.pyannote[2138].end 12564.29534375
transcript.pyannote[2139].speaker SPEAKER_01
transcript.pyannote[2139].start 12564.41346875
transcript.pyannote[2139].end 12569.94846875
transcript.pyannote[2140].speaker SPEAKER_01
transcript.pyannote[2140].start 12570.31971875
transcript.pyannote[2140].end 12574.58909375
transcript.pyannote[2141].speaker SPEAKER_01
transcript.pyannote[2141].start 12574.87596875
transcript.pyannote[2141].end 12576.85034375
transcript.pyannote[2142].speaker SPEAKER_01
transcript.pyannote[2142].start 12577.18784375
transcript.pyannote[2142].end 12577.49159375
transcript.pyannote[2143].speaker SPEAKER_01
transcript.pyannote[2143].start 12578.09909375
transcript.pyannote[2143].end 12584.20784375
transcript.pyannote[2144].speaker SPEAKER_01
transcript.pyannote[2144].start 12584.56221875
transcript.pyannote[2144].end 12585.79409375
transcript.pyannote[2145].speaker SPEAKER_01
transcript.pyannote[2145].start 12586.11471875
transcript.pyannote[2145].end 12591.97034375
transcript.pyannote[2146].speaker SPEAKER_01
transcript.pyannote[2146].start 12592.40909375
transcript.pyannote[2146].end 12614.02596875
transcript.pyannote[2147].speaker SPEAKER_01
transcript.pyannote[2147].start 12614.36346875
transcript.pyannote[2147].end 12617.48534375
transcript.pyannote[2148].speaker SPEAKER_02
transcript.pyannote[2148].start 12620.06721875
transcript.pyannote[2148].end 12622.26096875
transcript.pyannote[2149].speaker SPEAKER_02
transcript.pyannote[2149].start 12624.15096875
transcript.pyannote[2149].end 12625.99034375
transcript.pyannote[2150].speaker SPEAKER_11
transcript.pyannote[2150].start 12633.38159375
transcript.pyannote[2150].end 12640.03034375
transcript.pyannote[2151].speaker SPEAKER_11
transcript.pyannote[2151].start 12640.68846875
transcript.pyannote[2151].end 12641.22846875
transcript.pyannote[2152].speaker SPEAKER_06
transcript.pyannote[2152].start 12641.22846875
transcript.pyannote[2152].end 12641.24534375
transcript.pyannote[2153].speaker SPEAKER_11
transcript.pyannote[2153].start 12641.90346875
transcript.pyannote[2153].end 12642.79784375
transcript.pyannote[2154].speaker SPEAKER_06
transcript.pyannote[2154].start 12646.71284375
transcript.pyannote[2154].end 12656.11221875
transcript.pyannote[2155].speaker SPEAKER_01
transcript.pyannote[2155].start 12655.57221875
transcript.pyannote[2155].end 12659.99346875
transcript.pyannote[2156].speaker SPEAKER_06
transcript.pyannote[2156].start 12659.41971875
transcript.pyannote[2156].end 12662.76096875
transcript.pyannote[2157].speaker SPEAKER_01
transcript.pyannote[2157].start 12662.74409375
transcript.pyannote[2157].end 12664.73534375
transcript.pyannote[2158].speaker SPEAKER_06
transcript.pyannote[2158].start 12662.77784375
transcript.pyannote[2158].end 12662.79471875
transcript.pyannote[2159].speaker SPEAKER_06
transcript.pyannote[2159].start 12664.19534375
transcript.pyannote[2159].end 12676.64909375
transcript.pyannote[2160].speaker SPEAKER_01
transcript.pyannote[2160].start 12676.59846875
transcript.pyannote[2160].end 12684.41159375
transcript.pyannote[2161].speaker SPEAKER_06
transcript.pyannote[2161].start 12676.90221875
transcript.pyannote[2161].end 12677.10471875
transcript.pyannote[2162].speaker SPEAKER_06
transcript.pyannote[2162].start 12684.41159375
transcript.pyannote[2162].end 12690.84096875
transcript.pyannote[2163].speaker SPEAKER_01
transcript.pyannote[2163].start 12684.42846875
transcript.pyannote[2163].end 12684.44534375
transcript.pyannote[2164].speaker SPEAKER_01
transcript.pyannote[2164].start 12691.24596875
transcript.pyannote[2164].end 12698.06346875
transcript.pyannote[2165].speaker SPEAKER_01
transcript.pyannote[2165].start 12698.35034375
transcript.pyannote[2165].end 12701.47221875
transcript.pyannote[2166].speaker SPEAKER_06
transcript.pyannote[2166].start 12702.55221875
transcript.pyannote[2166].end 12713.67284375
transcript.pyannote[2167].speaker SPEAKER_06
transcript.pyannote[2167].start 12714.21284375
transcript.pyannote[2167].end 12715.17471875
transcript.pyannote[2168].speaker SPEAKER_06
transcript.pyannote[2168].start 12715.37721875
transcript.pyannote[2168].end 12717.43596875
transcript.pyannote[2169].speaker SPEAKER_01
transcript.pyannote[2169].start 12717.13221875
transcript.pyannote[2169].end 12731.94846875
transcript.pyannote[2170].speaker SPEAKER_06
transcript.pyannote[2170].start 12718.04346875
transcript.pyannote[2170].end 12718.38096875
transcript.pyannote[2171].speaker SPEAKER_06
transcript.pyannote[2171].start 12732.13409375
transcript.pyannote[2171].end 12748.18221875
transcript.pyannote[2172].speaker SPEAKER_06
transcript.pyannote[2172].start 12749.32971875
transcript.pyannote[2172].end 12750.02159375
transcript.pyannote[2173].speaker SPEAKER_01
transcript.pyannote[2173].start 12749.68409375
transcript.pyannote[2173].end 12752.14784375
transcript.pyannote[2174].speaker SPEAKER_06
transcript.pyannote[2174].start 12752.23221875
transcript.pyannote[2174].end 12766.84596875
transcript.pyannote[2175].speaker SPEAKER_01
transcript.pyannote[2175].start 12755.15159375
transcript.pyannote[2175].end 12755.53971875
transcript.pyannote[2176].speaker SPEAKER_01
transcript.pyannote[2176].start 12767.18346875
transcript.pyannote[2176].end 12769.36034375
transcript.pyannote[2177].speaker SPEAKER_06
transcript.pyannote[2177].start 12770.54159375
transcript.pyannote[2177].end 12771.90846875
transcript.pyannote[2178].speaker SPEAKER_06
transcript.pyannote[2178].start 12772.41471875
transcript.pyannote[2178].end 12779.70471875
transcript.pyannote[2179].speaker SPEAKER_06
transcript.pyannote[2179].start 12779.83971875
transcript.pyannote[2179].end 12792.34409375
transcript.pyannote[2180].speaker SPEAKER_01
transcript.pyannote[2180].start 12792.68159375
transcript.pyannote[2180].end 12800.79846875
transcript.pyannote[2181].speaker SPEAKER_01
transcript.pyannote[2181].start 12801.52409375
transcript.pyannote[2181].end 12801.54096875
transcript.pyannote[2182].speaker SPEAKER_06
transcript.pyannote[2182].start 12801.54096875
transcript.pyannote[2182].end 12802.45221875
transcript.pyannote[2183].speaker SPEAKER_06
transcript.pyannote[2183].start 12803.09346875
transcript.pyannote[2183].end 12809.97846875
transcript.pyannote[2184].speaker SPEAKER_06
transcript.pyannote[2184].start 12810.21471875
transcript.pyannote[2184].end 12833.02971875
transcript.pyannote[2185].speaker SPEAKER_01
transcript.pyannote[2185].start 12833.11409375
transcript.pyannote[2185].end 12842.29409375
transcript.pyannote[2186].speaker SPEAKER_01
transcript.pyannote[2186].start 12843.05346875
transcript.pyannote[2186].end 12845.12909375
transcript.pyannote[2187].speaker SPEAKER_02
transcript.pyannote[2187].start 12844.74096875
transcript.pyannote[2187].end 12847.82909375
transcript.pyannote[2188].speaker SPEAKER_01
transcript.pyannote[2188].start 12847.49159375
transcript.pyannote[2188].end 12847.93034375
transcript.pyannote[2189].speaker SPEAKER_02
transcript.pyannote[2189].start 12847.93034375
transcript.pyannote[2189].end 12848.18346875
transcript.pyannote[2190].speaker SPEAKER_01
transcript.pyannote[2190].start 12848.70659375
transcript.pyannote[2190].end 12876.38159375
transcript.pyannote[2191].speaker SPEAKER_01
transcript.pyannote[2191].start 12876.82034375
transcript.pyannote[2191].end 12879.92534375
transcript.pyannote[2192].speaker SPEAKER_01
transcript.pyannote[2192].start 12880.11096875
transcript.pyannote[2192].end 12882.64221875
transcript.pyannote[2193].speaker SPEAKER_01
transcript.pyannote[2193].start 12883.35096875
transcript.pyannote[2193].end 12889.89846875
transcript.pyannote[2194].speaker SPEAKER_01
transcript.pyannote[2194].start 12890.25284375
transcript.pyannote[2194].end 12893.89784375
transcript.pyannote[2195].speaker SPEAKER_01
transcript.pyannote[2195].start 12894.23534375
transcript.pyannote[2195].end 12895.55159375
transcript.pyannote[2196].speaker SPEAKER_01
transcript.pyannote[2196].start 12896.02409375
transcript.pyannote[2196].end 12896.73284375
transcript.pyannote[2197].speaker SPEAKER_01
transcript.pyannote[2197].start 12897.07034375
transcript.pyannote[2197].end 12900.51284375
transcript.pyannote[2198].speaker SPEAKER_01
transcript.pyannote[2198].start 12900.83346875
transcript.pyannote[2198].end 12903.70221875
transcript.pyannote[2199].speaker SPEAKER_02
transcript.pyannote[2199].start 12904.59659375
transcript.pyannote[2199].end 12909.86159375
transcript.pyannote[2200].speaker SPEAKER_02
transcript.pyannote[2200].start 12910.19909375
transcript.pyannote[2200].end 12915.41346875
transcript.pyannote[2201].speaker SPEAKER_02
transcript.pyannote[2201].start 12915.78471875
transcript.pyannote[2201].end 12920.32409375
transcript.pyannote[2202].speaker SPEAKER_02
transcript.pyannote[2202].start 12921.03284375
transcript.pyannote[2202].end 12922.75409375
transcript.pyannote[2203].speaker SPEAKER_02
transcript.pyannote[2203].start 12923.41221875
transcript.pyannote[2203].end 12926.39909375
transcript.pyannote[2204].speaker SPEAKER_02
transcript.pyannote[2204].start 12926.70284375
transcript.pyannote[2204].end 12928.55909375
transcript.pyannote[2205].speaker SPEAKER_02
transcript.pyannote[2205].start 12929.33534375
transcript.pyannote[2205].end 12933.67221875
transcript.pyannote[2206].speaker SPEAKER_02
transcript.pyannote[2206].start 12934.00971875
transcript.pyannote[2206].end 12939.20721875
transcript.pyannote[2207].speaker SPEAKER_02
transcript.pyannote[2207].start 12939.49409375
transcript.pyannote[2207].end 12942.48096875
transcript.pyannote[2208].speaker SPEAKER_01
transcript.pyannote[2208].start 12942.78471875
transcript.pyannote[2208].end 12952.48784375
transcript.pyannote[2209].speaker SPEAKER_01
transcript.pyannote[2209].start 12952.82534375
transcript.pyannote[2209].end 12955.12034375
transcript.pyannote[2210].speaker SPEAKER_05
transcript.pyannote[2210].start 12957.44909375
transcript.pyannote[2210].end 12964.75596875
transcript.pyannote[2211].speaker SPEAKER_01
transcript.pyannote[2211].start 12963.59159375
transcript.pyannote[2211].end 12968.26596875
transcript.pyannote[2212].speaker SPEAKER_05
transcript.pyannote[2212].start 12965.31284375
transcript.pyannote[2212].end 12965.75159375
transcript.pyannote[2213].speaker SPEAKER_28
transcript.pyannote[2213].start 12965.75159375
transcript.pyannote[2213].end 12965.78534375
transcript.pyannote[2214].speaker SPEAKER_28
transcript.pyannote[2214].start 12969.04221875
transcript.pyannote[2214].end 12981.36096875
transcript.pyannote[2215].speaker SPEAKER_28
transcript.pyannote[2215].start 12981.74909375
transcript.pyannote[2215].end 12986.79471875
transcript.pyannote[2216].speaker SPEAKER_16
transcript.pyannote[2216].start 13015.19534375
transcript.pyannote[2216].end 13017.05159375
transcript.pyannote[2217].speaker SPEAKER_28
transcript.pyannote[2217].start 13017.45659375
transcript.pyannote[2217].end 13019.16096875
transcript.pyannote[2218].speaker SPEAKER_07
transcript.pyannote[2218].start 13020.96659375
transcript.pyannote[2218].end 13021.23659375
transcript.pyannote[2219].speaker SPEAKER_28
transcript.pyannote[2219].start 13021.57409375
transcript.pyannote[2219].end 13022.02971875
transcript.pyannote[2220].speaker SPEAKER_07
transcript.pyannote[2220].start 13032.50909375
transcript.pyannote[2220].end 13036.20471875
transcript.pyannote[2221].speaker SPEAKER_28
transcript.pyannote[2221].start 13034.06159375
transcript.pyannote[2221].end 13035.71534375
transcript.pyannote[2222].speaker SPEAKER_07
transcript.pyannote[2222].start 13036.96409375
transcript.pyannote[2222].end 13037.82471875
transcript.pyannote[2223].speaker SPEAKER_07
transcript.pyannote[2223].start 13038.90471875
transcript.pyannote[2223].end 13040.15346875
transcript.pyannote[2224].speaker SPEAKER_07
transcript.pyannote[2224].start 13041.01409375
transcript.pyannote[2224].end 13060.21784375
transcript.pyannote[2225].speaker SPEAKER_07
transcript.pyannote[2225].start 13061.16284375
transcript.pyannote[2225].end 13062.04034375
transcript.pyannote[2226].speaker SPEAKER_07
transcript.pyannote[2226].start 13062.68159375
transcript.pyannote[2226].end 13065.66846875
transcript.pyannote[2227].speaker SPEAKER_07
transcript.pyannote[2227].start 13066.24221875
transcript.pyannote[2227].end 13073.14409375
transcript.pyannote[2228].speaker SPEAKER_07
transcript.pyannote[2228].start 13073.73471875
transcript.pyannote[2228].end 13078.79721875
transcript.pyannote[2229].speaker SPEAKER_07
transcript.pyannote[2229].start 13078.94909375
transcript.pyannote[2229].end 13081.64909375
transcript.pyannote[2230].speaker SPEAKER_07
transcript.pyannote[2230].start 13081.95284375
transcript.pyannote[2230].end 13083.08346875
transcript.pyannote[2231].speaker SPEAKER_07
transcript.pyannote[2231].start 13083.72471875
transcript.pyannote[2231].end 13090.89659375
transcript.pyannote[2232].speaker SPEAKER_07
transcript.pyannote[2232].start 13091.48721875
transcript.pyannote[2232].end 13094.05221875
transcript.pyannote[2233].speaker SPEAKER_07
transcript.pyannote[2233].start 13094.45721875
transcript.pyannote[2233].end 13113.66096875
transcript.pyannote[2234].speaker SPEAKER_07
transcript.pyannote[2234].start 13113.69471875
transcript.pyannote[2234].end 13121.71034375
transcript.pyannote[2235].speaker SPEAKER_07
transcript.pyannote[2235].start 13122.19971875
transcript.pyannote[2235].end 13137.23534375
transcript.pyannote[2236].speaker SPEAKER_07
transcript.pyannote[2236].start 13137.62346875
transcript.pyannote[2236].end 13148.99721875
transcript.pyannote[2237].speaker SPEAKER_07
transcript.pyannote[2237].start 13149.92534375
transcript.pyannote[2237].end 13151.66346875
transcript.pyannote[2238].speaker SPEAKER_07
transcript.pyannote[2238].start 13151.88284375
transcript.pyannote[2238].end 13154.32971875
transcript.pyannote[2239].speaker SPEAKER_07
transcript.pyannote[2239].start 13154.93721875
transcript.pyannote[2239].end 13180.06409375
transcript.pyannote[2240].speaker SPEAKER_07
transcript.pyannote[2240].start 13181.22846875
transcript.pyannote[2240].end 13182.00471875
transcript.pyannote[2241].speaker SPEAKER_07
transcript.pyannote[2241].start 13183.01721875
transcript.pyannote[2241].end 13185.66659375
transcript.pyannote[2242].speaker SPEAKER_07
transcript.pyannote[2242].start 13186.22346875
transcript.pyannote[2242].end 13186.84784375
transcript.pyannote[2243].speaker SPEAKER_07
transcript.pyannote[2243].start 13187.50596875
transcript.pyannote[2243].end 13188.26534375
transcript.pyannote[2244].speaker SPEAKER_07
transcript.pyannote[2244].start 13188.50159375
transcript.pyannote[2244].end 13190.12159375
transcript.pyannote[2245].speaker SPEAKER_07
transcript.pyannote[2245].start 13191.08346875
transcript.pyannote[2245].end 13192.90596875
transcript.pyannote[2246].speaker SPEAKER_07
transcript.pyannote[2246].start 13193.81721875
transcript.pyannote[2246].end 13194.57659375
transcript.pyannote[2247].speaker SPEAKER_07
transcript.pyannote[2247].start 13194.88034375
transcript.pyannote[2247].end 13196.23034375
transcript.pyannote[2248].speaker SPEAKER_07
transcript.pyannote[2248].start 13196.60159375
transcript.pyannote[2248].end 13200.28034375
transcript.pyannote[2249].speaker SPEAKER_07
transcript.pyannote[2249].start 13201.63034375
transcript.pyannote[2249].end 13202.37284375
transcript.pyannote[2250].speaker SPEAKER_07
transcript.pyannote[2250].start 13203.11534375
transcript.pyannote[2250].end 13205.44409375
transcript.pyannote[2251].speaker SPEAKER_07
transcript.pyannote[2251].start 13206.15284375
transcript.pyannote[2251].end 13208.78534375
transcript.pyannote[2252].speaker SPEAKER_07
transcript.pyannote[2252].start 13209.40971875
transcript.pyannote[2252].end 13217.02034375
transcript.pyannote[2253].speaker SPEAKER_07
transcript.pyannote[2253].start 13217.40846875
transcript.pyannote[2253].end 13225.94721875
transcript.pyannote[2254].speaker SPEAKER_07
transcript.pyannote[2254].start 13227.01034375
transcript.pyannote[2254].end 13228.74846875
transcript.pyannote[2255].speaker SPEAKER_07
transcript.pyannote[2255].start 13229.35596875
transcript.pyannote[2255].end 13229.77784375
transcript.pyannote[2256].speaker SPEAKER_07
transcript.pyannote[2256].start 13230.19971875
transcript.pyannote[2256].end 13233.47346875
transcript.pyannote[2257].speaker SPEAKER_07
transcript.pyannote[2257].start 13234.13159375
transcript.pyannote[2257].end 13241.65784375
transcript.pyannote[2258].speaker SPEAKER_07
transcript.pyannote[2258].start 13242.55221875
transcript.pyannote[2258].end 13244.50971875
transcript.pyannote[2259].speaker SPEAKER_07
transcript.pyannote[2259].start 13245.16784375
transcript.pyannote[2259].end 13246.85534375
transcript.pyannote[2260].speaker SPEAKER_07
transcript.pyannote[2260].start 13248.50909375
transcript.pyannote[2260].end 13250.39909375
transcript.pyannote[2261].speaker SPEAKER_07
transcript.pyannote[2261].start 13250.97284375
transcript.pyannote[2261].end 13253.18346875
transcript.pyannote[2262].speaker SPEAKER_07
transcript.pyannote[2262].start 13253.50409375
transcript.pyannote[2262].end 13261.99221875
transcript.pyannote[2263].speaker SPEAKER_07
transcript.pyannote[2263].start 13262.56596875
transcript.pyannote[2263].end 13274.04096875
transcript.pyannote[2264].speaker SPEAKER_07
transcript.pyannote[2264].start 13275.07034375
transcript.pyannote[2264].end 13278.59721875
transcript.pyannote[2265].speaker SPEAKER_07
transcript.pyannote[2265].start 13278.90096875
transcript.pyannote[2265].end 13285.90409375
transcript.pyannote[2266].speaker SPEAKER_07
transcript.pyannote[2266].start 13286.34284375
transcript.pyannote[2266].end 13291.42221875
transcript.pyannote[2267].speaker SPEAKER_07
transcript.pyannote[2267].start 13291.65846875
transcript.pyannote[2267].end 13297.80096875
transcript.pyannote[2268].speaker SPEAKER_07
transcript.pyannote[2268].start 13298.79659375
transcript.pyannote[2268].end 13314.70971875
transcript.pyannote[2269].speaker SPEAKER_07
transcript.pyannote[2269].start 13314.96284375
transcript.pyannote[2269].end 13316.78534375
transcript.pyannote[2270].speaker SPEAKER_07
transcript.pyannote[2270].start 13317.27471875
transcript.pyannote[2270].end 13327.31534375
transcript.pyannote[2271].speaker SPEAKER_07
transcript.pyannote[2271].start 13328.27721875
transcript.pyannote[2271].end 13333.32284375
transcript.pyannote[2272].speaker SPEAKER_07
transcript.pyannote[2272].start 13334.79096875
transcript.pyannote[2272].end 13337.84534375
transcript.pyannote[2273].speaker SPEAKER_07
transcript.pyannote[2273].start 13338.89159375
transcript.pyannote[2273].end 13345.33784375
transcript.pyannote[2274].speaker SPEAKER_07
transcript.pyannote[2274].start 13346.56971875
transcript.pyannote[2274].end 13347.41346875
transcript.pyannote[2275].speaker SPEAKER_07
transcript.pyannote[2275].start 13348.07159375
transcript.pyannote[2275].end 13351.09221875
transcript.pyannote[2276].speaker SPEAKER_07
transcript.pyannote[2276].start 13352.03721875
transcript.pyannote[2276].end 13352.44221875
transcript.pyannote[2277].speaker SPEAKER_07
transcript.pyannote[2277].start 13353.13409375
transcript.pyannote[2277].end 13360.91346875
transcript.pyannote[2278].speaker SPEAKER_07
transcript.pyannote[2278].start 13362.55034375
transcript.pyannote[2278].end 13364.64284375
transcript.pyannote[2279].speaker SPEAKER_07
transcript.pyannote[2279].start 13365.26721875
transcript.pyannote[2279].end 13366.36409375
transcript.pyannote[2280].speaker SPEAKER_07
transcript.pyannote[2280].start 13370.22846875
transcript.pyannote[2280].end 13374.83534375
transcript.pyannote[2281].speaker SPEAKER_07
transcript.pyannote[2281].start 13377.94034375
transcript.pyannote[2281].end 13381.72034375
transcript.pyannote[2282].speaker SPEAKER_07
transcript.pyannote[2282].start 13382.58096875
transcript.pyannote[2282].end 13385.48346875
transcript.pyannote[2283].speaker SPEAKER_02
transcript.pyannote[2283].start 13391.28846875
transcript.pyannote[2283].end 13394.03909375
transcript.pyannote[2284].speaker SPEAKER_07
transcript.pyannote[2284].start 13394.03909375
transcript.pyannote[2284].end 13395.15284375
transcript.pyannote[2285].speaker SPEAKER_02
transcript.pyannote[2285].start 13395.15284375
transcript.pyannote[2285].end 13395.18659375
transcript.pyannote[2286].speaker SPEAKER_07
transcript.pyannote[2286].start 13395.99659375
transcript.pyannote[2286].end 13397.59971875
transcript.pyannote[2287].speaker SPEAKER_07
transcript.pyannote[2287].start 13398.39284375
transcript.pyannote[2287].end 13407.37034375
transcript.pyannote[2288].speaker SPEAKER_02
transcript.pyannote[2288].start 13406.02034375
transcript.pyannote[2288].end 13406.59409375
transcript.pyannote[2289].speaker SPEAKER_02
transcript.pyannote[2289].start 13407.37034375
transcript.pyannote[2289].end 13407.40409375
transcript.pyannote[2290].speaker SPEAKER_07
transcript.pyannote[2290].start 13407.40409375
transcript.pyannote[2290].end 13407.43784375
transcript.pyannote[2291].speaker SPEAKER_02
transcript.pyannote[2291].start 13407.43784375
transcript.pyannote[2291].end 13413.51284375
transcript.pyannote[2292].speaker SPEAKER_07
transcript.pyannote[2292].start 13409.26034375
transcript.pyannote[2292].end 13409.54721875
transcript.pyannote[2293].speaker SPEAKER_22
transcript.pyannote[2293].start 13411.99409375
transcript.pyannote[2293].end 13412.04471875
transcript.pyannote[2294].speaker SPEAKER_07
transcript.pyannote[2294].start 13412.04471875
transcript.pyannote[2294].end 13412.07846875
transcript.pyannote[2295].speaker SPEAKER_22
transcript.pyannote[2295].start 13412.07846875
transcript.pyannote[2295].end 13412.16284375
transcript.pyannote[2296].speaker SPEAKER_02
transcript.pyannote[2296].start 13413.86721875
transcript.pyannote[2296].end 13414.32284375
transcript.pyannote[2297].speaker SPEAKER_02
transcript.pyannote[2297].start 13414.71096875
transcript.pyannote[2297].end 13417.02284375
transcript.pyannote[2298].speaker SPEAKER_07
transcript.pyannote[2298].start 13415.72346875
transcript.pyannote[2298].end 13415.77409375
transcript.pyannote[2299].speaker SPEAKER_07
transcript.pyannote[2299].start 13417.02284375
transcript.pyannote[2299].end 13418.00159375
transcript.pyannote[2300].speaker SPEAKER_07
transcript.pyannote[2300].start 13418.08596875
transcript.pyannote[2300].end 13420.97159375
transcript.pyannote[2301].speaker SPEAKER_02
transcript.pyannote[2301].start 13420.34721875
transcript.pyannote[2301].end 13428.00846875
transcript.pyannote[2302].speaker SPEAKER_07
transcript.pyannote[2302].start 13424.17784375
transcript.pyannote[2302].end 13424.21159375
transcript.pyannote[2303].speaker SPEAKER_02
transcript.pyannote[2303].start 13428.49784375
transcript.pyannote[2303].end 13434.03284375
transcript.pyannote[2304].speaker SPEAKER_00
transcript.pyannote[2304].start 13429.91534375
transcript.pyannote[2304].end 13429.93221875
transcript.pyannote[2305].speaker SPEAKER_07
transcript.pyannote[2305].start 13429.93221875
transcript.pyannote[2305].end 13430.32034375
transcript.pyannote[2306].speaker SPEAKER_07
transcript.pyannote[2306].start 13434.03284375
transcript.pyannote[2306].end 13444.32659375
transcript.pyannote[2307].speaker SPEAKER_07
transcript.pyannote[2307].start 13444.83284375
transcript.pyannote[2307].end 13452.74721875
transcript.pyannote[2308].speaker SPEAKER_07
transcript.pyannote[2308].start 13453.40534375
transcript.pyannote[2308].end 13455.49784375
transcript.pyannote[2309].speaker SPEAKER_07
transcript.pyannote[2309].start 13456.32471875
transcript.pyannote[2309].end 13485.78846875
transcript.pyannote[2310].speaker SPEAKER_02
transcript.pyannote[2310].start 13469.03159375
transcript.pyannote[2310].end 13469.31846875
transcript.pyannote[2311].speaker SPEAKER_00
transcript.pyannote[2311].start 13469.31846875
transcript.pyannote[2311].end 13469.36909375
transcript.pyannote[2312].speaker SPEAKER_00
transcript.pyannote[2312].start 13469.41971875
transcript.pyannote[2312].end 13469.82471875
transcript.pyannote[2313].speaker SPEAKER_02
transcript.pyannote[2313].start 13477.51971875
transcript.pyannote[2313].end 13477.53659375
transcript.pyannote[2314].speaker SPEAKER_02
transcript.pyannote[2314].start 13477.58721875
transcript.pyannote[2314].end 13477.78971875
transcript.pyannote[2315].speaker SPEAKER_02
transcript.pyannote[2315].start 13479.05534375
transcript.pyannote[2315].end 13479.62909375
transcript.pyannote[2316].speaker SPEAKER_02
transcript.pyannote[2316].start 13486.37909375
transcript.pyannote[2316].end 13491.61034375
transcript.pyannote[2317].speaker SPEAKER_07
transcript.pyannote[2317].start 13488.01596875
transcript.pyannote[2317].end 13489.48409375
transcript.pyannote[2318].speaker SPEAKER_07
transcript.pyannote[2318].start 13490.00721875
transcript.pyannote[2318].end 13490.34471875
transcript.pyannote[2319].speaker SPEAKER_07
transcript.pyannote[2319].start 13491.61034375
transcript.pyannote[2319].end 13505.54909375
transcript.pyannote[2320].speaker SPEAKER_02
transcript.pyannote[2320].start 13491.64409375
transcript.pyannote[2320].end 13491.69471875
transcript.pyannote[2321].speaker SPEAKER_02
transcript.pyannote[2321].start 13491.93096875
transcript.pyannote[2321].end 13492.18409375
transcript.pyannote[2322].speaker SPEAKER_28
transcript.pyannote[2322].start 13505.80221875
transcript.pyannote[2322].end 13516.85534375
transcript.pyannote[2323].speaker SPEAKER_07
transcript.pyannote[2323].start 13506.19034375
transcript.pyannote[2323].end 13506.20721875
transcript.pyannote[2324].speaker SPEAKER_00
transcript.pyannote[2324].start 13516.14659375
transcript.pyannote[2324].end 13516.80471875
transcript.pyannote[2325].speaker SPEAKER_28
transcript.pyannote[2325].start 13527.58784375
transcript.pyannote[2325].end 13529.68034375
transcript.pyannote[2326].speaker SPEAKER_13
transcript.pyannote[2326].start 13536.95346875
transcript.pyannote[2326].end 13567.02471875
transcript.pyannote[2327].speaker SPEAKER_13
transcript.pyannote[2327].start 13567.22721875
transcript.pyannote[2327].end 13571.17596875
transcript.pyannote[2328].speaker SPEAKER_13
transcript.pyannote[2328].start 13571.81721875
transcript.pyannote[2328].end 13572.25596875
transcript.pyannote[2329].speaker SPEAKER_13
transcript.pyannote[2329].start 13572.69471875
transcript.pyannote[2329].end 13575.05721875
transcript.pyannote[2330].speaker SPEAKER_13
transcript.pyannote[2330].start 13575.27659375
transcript.pyannote[2330].end 13580.54159375
transcript.pyannote[2331].speaker SPEAKER_13
transcript.pyannote[2331].start 13580.98034375
transcript.pyannote[2331].end 13588.37159375
transcript.pyannote[2332].speaker SPEAKER_02
transcript.pyannote[2332].start 13591.93221875
transcript.pyannote[2332].end 13593.13034375
transcript.pyannote[2333].speaker SPEAKER_13
transcript.pyannote[2333].start 13592.32034375
transcript.pyannote[2333].end 13592.75909375
transcript.pyannote[2334].speaker SPEAKER_06
transcript.pyannote[2334].start 13600.42034375
transcript.pyannote[2334].end 13604.77409375
transcript.pyannote[2335].speaker SPEAKER_00
transcript.pyannote[2335].start 13604.45346875
transcript.pyannote[2335].end 13604.52096875
transcript.pyannote[2336].speaker SPEAKER_06
transcript.pyannote[2336].start 13605.22971875
transcript.pyannote[2336].end 13611.25409375
transcript.pyannote[2337].speaker SPEAKER_06
transcript.pyannote[2337].start 13611.45659375
transcript.pyannote[2337].end 13623.55596875
transcript.pyannote[2338].speaker SPEAKER_13
transcript.pyannote[2338].start 13622.05409375
transcript.pyannote[2338].end 13622.56034375
transcript.pyannote[2339].speaker SPEAKER_13
transcript.pyannote[2339].start 13623.08346875
transcript.pyannote[2339].end 13662.73971875
transcript.pyannote[2340].speaker SPEAKER_13
transcript.pyannote[2340].start 13662.97596875
transcript.pyannote[2340].end 13663.43159375
transcript.pyannote[2341].speaker SPEAKER_13
transcript.pyannote[2341].start 13663.63409375
transcript.pyannote[2341].end 13666.48596875
transcript.pyannote[2342].speaker SPEAKER_06
transcript.pyannote[2342].start 13667.59971875
transcript.pyannote[2342].end 13693.97534375
transcript.pyannote[2343].speaker SPEAKER_13
transcript.pyannote[2343].start 13668.32534375
transcript.pyannote[2343].end 13668.47721875
transcript.pyannote[2344].speaker SPEAKER_13
transcript.pyannote[2344].start 13675.29471875
transcript.pyannote[2344].end 13675.61534375
transcript.pyannote[2345].speaker SPEAKER_13
transcript.pyannote[2345].start 13693.97534375
transcript.pyannote[2345].end 13701.34971875
transcript.pyannote[2346].speaker SPEAKER_13
transcript.pyannote[2346].start 13701.65346875
transcript.pyannote[2346].end 13713.21284375
transcript.pyannote[2347].speaker SPEAKER_13
transcript.pyannote[2347].start 13713.83721875
transcript.pyannote[2347].end 13729.83471875
transcript.pyannote[2348].speaker SPEAKER_13
transcript.pyannote[2348].start 13730.20596875
transcript.pyannote[2348].end 13750.18596875
transcript.pyannote[2349].speaker SPEAKER_13
transcript.pyannote[2349].start 13750.40534375
transcript.pyannote[2349].end 13752.98721875
transcript.pyannote[2350].speaker SPEAKER_13
transcript.pyannote[2350].start 13753.52721875
transcript.pyannote[2350].end 13758.40409375
transcript.pyannote[2351].speaker SPEAKER_02
transcript.pyannote[2351].start 13761.03659375
transcript.pyannote[2351].end 13762.33596875
transcript.pyannote[2352].speaker SPEAKER_02
transcript.pyannote[2352].start 13762.60596875
transcript.pyannote[2352].end 13771.46534375
transcript.pyannote[2353].speaker SPEAKER_22
transcript.pyannote[2353].start 13768.73159375
transcript.pyannote[2353].end 13769.18721875
transcript.pyannote[2354].speaker SPEAKER_02
transcript.pyannote[2354].start 13771.83659375
transcript.pyannote[2354].end 13772.39346875
transcript.pyannote[2355].speaker SPEAKER_02
transcript.pyannote[2355].start 13772.88284375
transcript.pyannote[2355].end 13774.89096875
transcript.pyannote[2356].speaker SPEAKER_02
transcript.pyannote[2356].start 13775.11034375
transcript.pyannote[2356].end 13776.15659375
transcript.pyannote[2357].speaker SPEAKER_02
transcript.pyannote[2357].start 13776.39284375
transcript.pyannote[2357].end 13780.07159375
transcript.pyannote[2358].speaker SPEAKER_02
transcript.pyannote[2358].start 13780.29096875
transcript.pyannote[2358].end 13783.59846875
transcript.pyannote[2359].speaker SPEAKER_02
transcript.pyannote[2359].start 13783.76721875
transcript.pyannote[2359].end 13784.64471875
transcript.pyannote[2360].speaker SPEAKER_02
transcript.pyannote[2360].start 13784.89784375
transcript.pyannote[2360].end 13785.30284375
transcript.pyannote[2361].speaker SPEAKER_02
transcript.pyannote[2361].start 13785.57284375
transcript.pyannote[2361].end 13788.76221875
transcript.pyannote[2362].speaker SPEAKER_02
transcript.pyannote[2362].start 13788.88034375
transcript.pyannote[2362].end 13790.66909375
transcript.pyannote[2363].speaker SPEAKER_02
transcript.pyannote[2363].start 13790.92221875
transcript.pyannote[2363].end 13798.68471875
transcript.pyannote[2364].speaker SPEAKER_13
transcript.pyannote[2364].start 13794.95534375
transcript.pyannote[2364].end 13797.13221875
transcript.pyannote[2365].speaker SPEAKER_13
transcript.pyannote[2365].start 13798.68471875
transcript.pyannote[2365].end 13812.89346875
transcript.pyannote[2366].speaker SPEAKER_13
transcript.pyannote[2366].start 13813.21409375
transcript.pyannote[2366].end 13813.78784375
transcript.pyannote[2367].speaker SPEAKER_13
transcript.pyannote[2367].start 13813.92284375
transcript.pyannote[2367].end 13904.08596875
transcript.pyannote[2368].speaker SPEAKER_13
transcript.pyannote[2368].start 13904.10284375
transcript.pyannote[2368].end 13914.02534375
transcript.pyannote[2369].speaker SPEAKER_02
transcript.pyannote[2369].start 13914.02534375
transcript.pyannote[2369].end 13914.32909375
transcript.pyannote[2370].speaker SPEAKER_13
transcript.pyannote[2370].start 13914.32909375
transcript.pyannote[2370].end 13914.34596875
transcript.pyannote[2371].speaker SPEAKER_02
transcript.pyannote[2371].start 13914.64971875
transcript.pyannote[2371].end 13917.63659375
transcript.pyannote[2372].speaker SPEAKER_02
transcript.pyannote[2372].start 13917.88971875
transcript.pyannote[2372].end 13918.63221875
transcript.pyannote[2373].speaker SPEAKER_02
transcript.pyannote[2373].start 13919.05409375
transcript.pyannote[2373].end 13919.64471875
transcript.pyannote[2374].speaker SPEAKER_02
transcript.pyannote[2374].start 13920.03284375
transcript.pyannote[2374].end 13924.16721875
transcript.pyannote[2375].speaker SPEAKER_02
transcript.pyannote[2375].start 13924.42034375
transcript.pyannote[2375].end 13930.20846875
transcript.pyannote[2376].speaker SPEAKER_02
transcript.pyannote[2376].start 13930.49534375
transcript.pyannote[2376].end 13932.85784375
transcript.pyannote[2377].speaker SPEAKER_02
transcript.pyannote[2377].start 13933.19534375
transcript.pyannote[2377].end 13935.86159375
transcript.pyannote[2378].speaker SPEAKER_02
transcript.pyannote[2378].start 13936.04721875
transcript.pyannote[2378].end 13939.25346875
transcript.pyannote[2379].speaker SPEAKER_02
transcript.pyannote[2379].start 13939.42221875
transcript.pyannote[2379].end 13942.52721875
transcript.pyannote[2380].speaker SPEAKER_02
transcript.pyannote[2380].start 13942.74659375
transcript.pyannote[2380].end 13948.97346875
transcript.pyannote[2381].speaker SPEAKER_13
transcript.pyannote[2381].start 13948.97346875
transcript.pyannote[2381].end 13962.49034375
transcript.pyannote[2382].speaker SPEAKER_28
transcript.pyannote[2382].start 13964.80221875
transcript.pyannote[2382].end 13973.64471875
transcript.pyannote[2383].speaker SPEAKER_28
transcript.pyannote[2383].start 13974.11721875
transcript.pyannote[2383].end 13980.76596875
transcript.pyannote[2384].speaker SPEAKER_28
transcript.pyannote[2384].start 13981.00221875
transcript.pyannote[2384].end 13991.49846875
transcript.pyannote[2385].speaker SPEAKER_12
transcript.pyannote[2385].start 14005.21784375
transcript.pyannote[2385].end 14007.95159375
transcript.pyannote[2386].speaker SPEAKER_17
transcript.pyannote[2386].start 14013.97596875
transcript.pyannote[2386].end 14014.00971875
transcript.pyannote[2387].speaker SPEAKER_02
transcript.pyannote[2387].start 14014.00971875
transcript.pyannote[2387].end 14014.02659375
transcript.pyannote[2388].speaker SPEAKER_17
transcript.pyannote[2388].start 14014.02659375
transcript.pyannote[2388].end 14022.80159375
transcript.pyannote[2389].speaker SPEAKER_17
transcript.pyannote[2389].start 14023.42596875
transcript.pyannote[2389].end 14026.05846875
transcript.pyannote[2390].speaker SPEAKER_17
transcript.pyannote[2390].start 14026.32846875
transcript.pyannote[2390].end 14028.16784375
transcript.pyannote[2391].speaker SPEAKER_17
transcript.pyannote[2391].start 14028.26909375
transcript.pyannote[2391].end 14030.98596875
transcript.pyannote[2392].speaker SPEAKER_17
transcript.pyannote[2392].start 14031.69471875
transcript.pyannote[2392].end 14032.25159375
transcript.pyannote[2393].speaker SPEAKER_02
transcript.pyannote[2393].start 14033.21346875
transcript.pyannote[2393].end 14036.57159375
transcript.pyannote[2394].speaker SPEAKER_02
transcript.pyannote[2394].start 14037.70221875
transcript.pyannote[2394].end 14044.35096875
transcript.pyannote[2395].speaker SPEAKER_17
transcript.pyannote[2395].start 14044.35096875
transcript.pyannote[2395].end 14064.21284375
transcript.pyannote[2396].speaker SPEAKER_02
transcript.pyannote[2396].start 14044.78971875
transcript.pyannote[2396].end 14046.62909375
transcript.pyannote[2397].speaker SPEAKER_02
transcript.pyannote[2397].start 14063.26784375
transcript.pyannote[2397].end 14067.79034375
transcript.pyannote[2398].speaker SPEAKER_17
transcript.pyannote[2398].start 14064.97221875
transcript.pyannote[2398].end 14071.65471875
transcript.pyannote[2399].speaker SPEAKER_02
transcript.pyannote[2399].start 14070.57471875
transcript.pyannote[2399].end 14075.77221875
transcript.pyannote[2400].speaker SPEAKER_17
transcript.pyannote[2400].start 14072.83596875
transcript.pyannote[2400].end 14081.29034375
transcript.pyannote[2401].speaker SPEAKER_17
transcript.pyannote[2401].start 14081.74596875
transcript.pyannote[2401].end 14087.53409375
transcript.pyannote[2402].speaker SPEAKER_17
transcript.pyannote[2402].start 14087.66909375
transcript.pyannote[2402].end 14091.31409375
transcript.pyannote[2403].speaker SPEAKER_02
transcript.pyannote[2403].start 14091.17909375
transcript.pyannote[2403].end 14093.89596875
transcript.pyannote[2404].speaker SPEAKER_17
transcript.pyannote[2404].start 14093.89596875
transcript.pyannote[2404].end 14098.13159375
transcript.pyannote[2405].speaker SPEAKER_02
transcript.pyannote[2405].start 14097.05159375
transcript.pyannote[2405].end 14097.55784375
transcript.pyannote[2406].speaker SPEAKER_02
transcript.pyannote[2406].start 14098.67159375
transcript.pyannote[2406].end 14099.81909375
transcript.pyannote[2407].speaker SPEAKER_17
transcript.pyannote[2407].start 14099.81909375
transcript.pyannote[2407].end 14103.24471875
transcript.pyannote[2408].speaker SPEAKER_02
transcript.pyannote[2408].start 14099.83596875
transcript.pyannote[2408].end 14100.29159375
transcript.pyannote[2409].speaker SPEAKER_17
transcript.pyannote[2409].start 14104.15596875
transcript.pyannote[2409].end 14111.90159375
transcript.pyannote[2410].speaker SPEAKER_02
transcript.pyannote[2410].start 14110.58534375
transcript.pyannote[2410].end 14114.82096875
transcript.pyannote[2411].speaker SPEAKER_02
transcript.pyannote[2411].start 14115.02346875
transcript.pyannote[2411].end 14118.06096875
transcript.pyannote[2412].speaker SPEAKER_17
transcript.pyannote[2412].start 14116.57596875
transcript.pyannote[2412].end 14121.38534375
transcript.pyannote[2413].speaker SPEAKER_02
transcript.pyannote[2413].start 14119.59659375
transcript.pyannote[2413].end 14123.41034375
transcript.pyannote[2414].speaker SPEAKER_17
transcript.pyannote[2414].start 14122.21221875
transcript.pyannote[2414].end 14125.51971875
transcript.pyannote[2415].speaker SPEAKER_02
transcript.pyannote[2415].start 14124.96284375
transcript.pyannote[2415].end 14126.22846875
transcript.pyannote[2416].speaker SPEAKER_17
transcript.pyannote[2416].start 14126.22846875
transcript.pyannote[2416].end 14138.04096875
transcript.pyannote[2417].speaker SPEAKER_02
transcript.pyannote[2417].start 14129.72159375
transcript.pyannote[2417].end 14133.97409375
transcript.pyannote[2418].speaker SPEAKER_25
transcript.pyannote[2418].start 14133.97409375
transcript.pyannote[2418].end 14134.98659375
transcript.pyannote[2419].speaker SPEAKER_17
transcript.pyannote[2419].start 14138.32784375
transcript.pyannote[2419].end 14156.58659375
transcript.pyannote[2420].speaker SPEAKER_25
transcript.pyannote[2420].start 14139.27284375
transcript.pyannote[2420].end 14139.39096875
transcript.pyannote[2421].speaker SPEAKER_02
transcript.pyannote[2421].start 14139.39096875
transcript.pyannote[2421].end 14140.28534375
transcript.pyannote[2422].speaker SPEAKER_25
transcript.pyannote[2422].start 14140.28534375
transcript.pyannote[2422].end 14140.31909375
transcript.pyannote[2423].speaker SPEAKER_02
transcript.pyannote[2423].start 14141.93909375
transcript.pyannote[2423].end 14142.76596875
transcript.pyannote[2424].speaker SPEAKER_02
transcript.pyannote[2424].start 14143.55909375
transcript.pyannote[2424].end 14144.52096875
transcript.pyannote[2425].speaker SPEAKER_02
transcript.pyannote[2425].start 14147.13659375
transcript.pyannote[2425].end 14151.23721875
transcript.pyannote[2426].speaker SPEAKER_02
transcript.pyannote[2426].start 14154.35909375
transcript.pyannote[2426].end 14155.06784375
transcript.pyannote[2427].speaker SPEAKER_02
transcript.pyannote[2427].start 14155.40534375
transcript.pyannote[2427].end 14159.60721875
transcript.pyannote[2428].speaker SPEAKER_17
transcript.pyannote[2428].start 14157.78471875
transcript.pyannote[2428].end 14161.98659375
transcript.pyannote[2429].speaker SPEAKER_02
transcript.pyannote[2429].start 14160.68721875
transcript.pyannote[2429].end 14162.79659375
transcript.pyannote[2430].speaker SPEAKER_17
transcript.pyannote[2430].start 14162.79659375
transcript.pyannote[2430].end 14168.26409375
transcript.pyannote[2431].speaker SPEAKER_02
transcript.pyannote[2431].start 14164.63596875
transcript.pyannote[2431].end 14165.37846875
transcript.pyannote[2432].speaker SPEAKER_02
transcript.pyannote[2432].start 14166.47534375
transcript.pyannote[2432].end 14167.55534375
transcript.pyannote[2433].speaker SPEAKER_02
transcript.pyannote[2433].start 14167.92659375
transcript.pyannote[2433].end 14172.70221875
transcript.pyannote[2434].speaker SPEAKER_17
transcript.pyannote[2434].start 14168.65221875
transcript.pyannote[2434].end 14169.90096875
transcript.pyannote[2435].speaker SPEAKER_17
transcript.pyannote[2435].start 14170.74471875
transcript.pyannote[2435].end 14183.55284375
transcript.pyannote[2436].speaker SPEAKER_02
transcript.pyannote[2436].start 14183.65409375
transcript.pyannote[2436].end 14185.44284375
transcript.pyannote[2437].speaker SPEAKER_02
transcript.pyannote[2437].start 14185.78034375
transcript.pyannote[2437].end 14190.67409375
transcript.pyannote[2438].speaker SPEAKER_17
transcript.pyannote[2438].start 14190.18471875
transcript.pyannote[2438].end 14222.17971875
transcript.pyannote[2439].speaker SPEAKER_00
transcript.pyannote[2439].start 14203.04346875
transcript.pyannote[2439].end 14204.96721875
transcript.pyannote[2440].speaker SPEAKER_02
transcript.pyannote[2440].start 14221.74096875
transcript.pyannote[2440].end 14223.22596875
transcript.pyannote[2441].speaker SPEAKER_17
transcript.pyannote[2441].start 14223.15846875
transcript.pyannote[2441].end 14231.03909375
transcript.pyannote[2442].speaker SPEAKER_17
transcript.pyannote[2442].start 14231.22471875
transcript.pyannote[2442].end 14239.42596875
transcript.pyannote[2443].speaker SPEAKER_17
transcript.pyannote[2443].start 14239.93221875
transcript.pyannote[2443].end 14243.20596875
transcript.pyannote[2444].speaker SPEAKER_02
transcript.pyannote[2444].start 14244.84284375
transcript.pyannote[2444].end 14260.89096875
transcript.pyannote[2445].speaker SPEAKER_17
transcript.pyannote[2445].start 14260.46909375
transcript.pyannote[2445].end 14269.95284375
transcript.pyannote[2446].speaker SPEAKER_02
transcript.pyannote[2446].start 14264.77221875
transcript.pyannote[2446].end 14266.40909375
transcript.pyannote[2447].speaker SPEAKER_02
transcript.pyannote[2447].start 14266.47659375
transcript.pyannote[2447].end 14268.75471875
transcript.pyannote[2448].speaker SPEAKER_17
transcript.pyannote[2448].start 14270.30721875
transcript.pyannote[2448].end 14274.88034375
transcript.pyannote[2449].speaker SPEAKER_02
transcript.pyannote[2449].start 14273.86784375
transcript.pyannote[2449].end 14276.87159375
transcript.pyannote[2450].speaker SPEAKER_02
transcript.pyannote[2450].start 14276.95596875
transcript.pyannote[2450].end 14278.28909375
transcript.pyannote[2451].speaker SPEAKER_17
transcript.pyannote[2451].start 14277.05721875
transcript.pyannote[2451].end 14280.31409375
transcript.pyannote[2452].speaker SPEAKER_02
transcript.pyannote[2452].start 14279.85846875
transcript.pyannote[2452].end 14282.20409375
transcript.pyannote[2453].speaker SPEAKER_17
transcript.pyannote[2453].start 14280.66846875
transcript.pyannote[2453].end 14291.78909375
transcript.pyannote[2454].speaker SPEAKER_02
transcript.pyannote[2454].start 14282.96346875
transcript.pyannote[2454].end 14284.93784375
transcript.pyannote[2455].speaker SPEAKER_02
transcript.pyannote[2455].start 14290.74284375
transcript.pyannote[2455].end 14294.08409375
transcript.pyannote[2456].speaker SPEAKER_17
transcript.pyannote[2456].start 14292.73409375
transcript.pyannote[2456].end 14317.94534375
transcript.pyannote[2457].speaker SPEAKER_02
transcript.pyannote[2457].start 14317.45596875
transcript.pyannote[2457].end 14321.48909375
transcript.pyannote[2458].speaker SPEAKER_02
transcript.pyannote[2458].start 14321.69159375
transcript.pyannote[2458].end 14330.48346875
transcript.pyannote[2459].speaker SPEAKER_17
transcript.pyannote[2459].start 14325.62346875
transcript.pyannote[2459].end 14325.72471875
transcript.pyannote[2460].speaker SPEAKER_17
transcript.pyannote[2460].start 14325.74159375
transcript.pyannote[2460].end 14325.80909375
transcript.pyannote[2461].speaker SPEAKER_17
transcript.pyannote[2461].start 14328.64409375
transcript.pyannote[2461].end 14332.91346875
transcript.pyannote[2462].speaker SPEAKER_02
transcript.pyannote[2462].start 14331.19221875
transcript.pyannote[2462].end 14334.17909375
transcript.pyannote[2463].speaker SPEAKER_17
transcript.pyannote[2463].start 14333.40284375
transcript.pyannote[2463].end 14346.29534375
transcript.pyannote[2464].speaker SPEAKER_02
transcript.pyannote[2464].start 14346.22784375
transcript.pyannote[2464].end 14348.75909375
transcript.pyannote[2465].speaker SPEAKER_17
transcript.pyannote[2465].start 14346.64971875
transcript.pyannote[2465].end 14347.51034375
transcript.pyannote[2466].speaker SPEAKER_17
transcript.pyannote[2466].start 14348.03346875
transcript.pyannote[2466].end 14353.68659375
transcript.pyannote[2467].speaker SPEAKER_02
transcript.pyannote[2467].start 14352.89346875
transcript.pyannote[2467].end 14357.83784375
transcript.pyannote[2468].speaker SPEAKER_17
transcript.pyannote[2468].start 14353.95659375
transcript.pyannote[2468].end 14354.63159375
transcript.pyannote[2469].speaker SPEAKER_17
transcript.pyannote[2469].start 14355.00284375
transcript.pyannote[2469].end 14356.96034375
transcript.pyannote[2470].speaker SPEAKER_17
transcript.pyannote[2470].start 14357.83784375
transcript.pyannote[2470].end 14365.92096875
transcript.pyannote[2471].speaker SPEAKER_17
transcript.pyannote[2471].start 14366.49471875
transcript.pyannote[2471].end 14369.29596875
transcript.pyannote[2472].speaker SPEAKER_17
transcript.pyannote[2472].start 14370.07221875
transcript.pyannote[2472].end 14383.79159375
transcript.pyannote[2473].speaker SPEAKER_17
transcript.pyannote[2473].start 14384.63534375
transcript.pyannote[2473].end 14388.66846875
transcript.pyannote[2474].speaker SPEAKER_11
transcript.pyannote[2474].start 14385.71534375
transcript.pyannote[2474].end 14386.45784375
transcript.pyannote[2475].speaker SPEAKER_17
transcript.pyannote[2475].start 14389.20846875
transcript.pyannote[2475].end 14394.20346875
transcript.pyannote[2476].speaker SPEAKER_17
transcript.pyannote[2476].start 14394.60846875
transcript.pyannote[2476].end 14397.66284375
transcript.pyannote[2477].speaker SPEAKER_17
transcript.pyannote[2477].start 14398.18596875
transcript.pyannote[2477].end 14415.22971875
transcript.pyannote[2478].speaker SPEAKER_17
transcript.pyannote[2478].start 14415.75284375
transcript.pyannote[2478].end 14419.66784375
transcript.pyannote[2479].speaker SPEAKER_17
transcript.pyannote[2479].start 14420.14034375
transcript.pyannote[2479].end 14436.84659375
transcript.pyannote[2480].speaker SPEAKER_02
transcript.pyannote[2480].start 14438.01096875
transcript.pyannote[2480].end 14441.97659375
transcript.pyannote[2481].speaker SPEAKER_17
transcript.pyannote[2481].start 14441.14971875
transcript.pyannote[2481].end 14455.76346875
transcript.pyannote[2482].speaker SPEAKER_02
transcript.pyannote[2482].start 14443.64721875
transcript.pyannote[2482].end 14445.45284375
transcript.pyannote[2483].speaker SPEAKER_02
transcript.pyannote[2483].start 14446.26284375
transcript.pyannote[2483].end 14446.90409375
transcript.pyannote[2484].speaker SPEAKER_02
transcript.pyannote[2484].start 14451.05534375
transcript.pyannote[2484].end 14452.84409375
transcript.pyannote[2485].speaker SPEAKER_02
transcript.pyannote[2485].start 14453.51909375
transcript.pyannote[2485].end 14454.91971875
transcript.pyannote[2486].speaker SPEAKER_02
transcript.pyannote[2486].start 14455.29096875
transcript.pyannote[2486].end 14461.01159375
transcript.pyannote[2487].speaker SPEAKER_17
transcript.pyannote[2487].start 14461.01159375
transcript.pyannote[2487].end 14462.64846875
transcript.pyannote[2488].speaker SPEAKER_02
transcript.pyannote[2488].start 14462.09159375
transcript.pyannote[2488].end 14466.39471875
transcript.pyannote[2489].speaker SPEAKER_17
transcript.pyannote[2489].start 14466.15846875
transcript.pyannote[2489].end 14478.46034375
transcript.pyannote[2490].speaker SPEAKER_10
transcript.pyannote[2490].start 14478.74721875
transcript.pyannote[2490].end 14478.76409375
transcript.pyannote[2491].speaker SPEAKER_17
transcript.pyannote[2491].start 14478.76409375
transcript.pyannote[2491].end 14483.35409375
transcript.pyannote[2492].speaker SPEAKER_02
transcript.pyannote[2492].start 14478.86534375
transcript.pyannote[2492].end 14478.89909375
transcript.pyannote[2493].speaker SPEAKER_02
transcript.pyannote[2493].start 14482.35846875
transcript.pyannote[2493].end 14486.56034375
transcript.pyannote[2494].speaker SPEAKER_17
transcript.pyannote[2494].start 14486.62784375
transcript.pyannote[2494].end 14489.91846875
transcript.pyannote[2495].speaker SPEAKER_02
transcript.pyannote[2495].start 14487.53909375
transcript.pyannote[2495].end 14490.91409375
transcript.pyannote[2496].speaker SPEAKER_17
transcript.pyannote[2496].start 14490.25596875
transcript.pyannote[2496].end 14493.14159375
transcript.pyannote[2497].speaker SPEAKER_17
transcript.pyannote[2497].start 14493.17534375
transcript.pyannote[2497].end 14493.19221875
transcript.pyannote[2498].speaker SPEAKER_02
transcript.pyannote[2498].start 14493.19221875
transcript.pyannote[2498].end 14501.61284375
transcript.pyannote[2499].speaker SPEAKER_17
transcript.pyannote[2499].start 14493.85034375
transcript.pyannote[2499].end 14500.31346875
transcript.pyannote[2500].speaker SPEAKER_17
transcript.pyannote[2500].start 14500.51596875
transcript.pyannote[2500].end 14529.57471875
transcript.pyannote[2501].speaker SPEAKER_02
transcript.pyannote[2501].start 14514.03284375
transcript.pyannote[2501].end 14514.04971875
transcript.pyannote[2502].speaker SPEAKER_16
transcript.pyannote[2502].start 14514.04971875
transcript.pyannote[2502].end 14514.06659375
transcript.pyannote[2503].speaker SPEAKER_02
transcript.pyannote[2503].start 14514.06659375
transcript.pyannote[2503].end 14514.13409375
transcript.pyannote[2504].speaker SPEAKER_16
transcript.pyannote[2504].start 14514.13409375
transcript.pyannote[2504].end 14514.42096875
transcript.pyannote[2505].speaker SPEAKER_02
transcript.pyannote[2505].start 14514.42096875
transcript.pyannote[2505].end 14514.58971875
transcript.pyannote[2506].speaker SPEAKER_02
transcript.pyannote[2506].start 14514.72471875
transcript.pyannote[2506].end 14516.68221875
transcript.pyannote[2507].speaker SPEAKER_02
transcript.pyannote[2507].start 14526.14909375
transcript.pyannote[2507].end 14527.11096875
transcript.pyannote[2508].speaker SPEAKER_17
transcript.pyannote[2508].start 14529.97971875
transcript.pyannote[2508].end 14539.04159375
transcript.pyannote[2509].speaker SPEAKER_02
transcript.pyannote[2509].start 14532.35909375
transcript.pyannote[2509].end 14537.77596875
transcript.pyannote[2510].speaker SPEAKER_02
transcript.pyannote[2510].start 14539.76721875
transcript.pyannote[2510].end 14540.05409375
transcript.pyannote[2511].speaker SPEAKER_02
transcript.pyannote[2511].start 14540.13846875
transcript.pyannote[2511].end 14546.36534375
transcript.pyannote[2512].speaker SPEAKER_17
transcript.pyannote[2512].start 14545.94346875
transcript.pyannote[2512].end 14550.97221875
transcript.pyannote[2513].speaker SPEAKER_02
transcript.pyannote[2513].start 14552.10284375
transcript.pyannote[2513].end 14552.35596875
transcript.pyannote[2514].speaker SPEAKER_17
transcript.pyannote[2514].start 14552.35596875
transcript.pyannote[2514].end 14558.54909375
transcript.pyannote[2515].speaker SPEAKER_02
transcript.pyannote[2515].start 14557.70534375
transcript.pyannote[2515].end 14559.66284375
transcript.pyannote[2516].speaker SPEAKER_17
transcript.pyannote[2516].start 14559.66284375
transcript.pyannote[2516].end 14559.88221875
transcript.pyannote[2517].speaker SPEAKER_02
transcript.pyannote[2517].start 14559.88221875
transcript.pyannote[2517].end 14562.34596875
transcript.pyannote[2518].speaker SPEAKER_17
transcript.pyannote[2518].start 14559.96659375
transcript.pyannote[2518].end 14560.96221875
transcript.pyannote[2519].speaker SPEAKER_17
transcript.pyannote[2519].start 14561.24909375
transcript.pyannote[2519].end 14562.29534375
transcript.pyannote[2520].speaker SPEAKER_17
transcript.pyannote[2520].start 14562.34596875
transcript.pyannote[2520].end 14563.03784375
transcript.pyannote[2521].speaker SPEAKER_02
transcript.pyannote[2521].start 14563.03784375
transcript.pyannote[2521].end 14570.93534375
transcript.pyannote[2522].speaker SPEAKER_17
transcript.pyannote[2522].start 14570.93534375
transcript.pyannote[2522].end 14571.07034375
transcript.pyannote[2523].speaker SPEAKER_02
transcript.pyannote[2523].start 14571.07034375
transcript.pyannote[2523].end 14571.08721875
transcript.pyannote[2524].speaker SPEAKER_17
transcript.pyannote[2524].start 14571.08721875
transcript.pyannote[2524].end 14571.18846875
transcript.pyannote[2525].speaker SPEAKER_02
transcript.pyannote[2525].start 14571.18846875
transcript.pyannote[2525].end 14571.23909375
transcript.pyannote[2526].speaker SPEAKER_17
transcript.pyannote[2526].start 14571.23909375
transcript.pyannote[2526].end 14571.35721875
transcript.pyannote[2527].speaker SPEAKER_02
transcript.pyannote[2527].start 14571.35721875
transcript.pyannote[2527].end 14571.47534375
transcript.pyannote[2528].speaker SPEAKER_17
transcript.pyannote[2528].start 14571.47534375
transcript.pyannote[2528].end 14571.54284375
transcript.pyannote[2529].speaker SPEAKER_02
transcript.pyannote[2529].start 14571.54284375
transcript.pyannote[2529].end 14571.96471875
transcript.pyannote[2530].speaker SPEAKER_17
transcript.pyannote[2530].start 14571.96471875
transcript.pyannote[2530].end 14586.07221875
transcript.pyannote[2531].speaker SPEAKER_02
transcript.pyannote[2531].start 14576.92596875
transcript.pyannote[2531].end 14579.44034375
transcript.pyannote[2532].speaker SPEAKER_02
transcript.pyannote[2532].start 14586.07221875
transcript.pyannote[2532].end 14587.33784375
transcript.pyannote[2533].speaker SPEAKER_17
transcript.pyannote[2533].start 14587.33784375
transcript.pyannote[2533].end 14589.97034375
transcript.pyannote[2534].speaker SPEAKER_02
transcript.pyannote[2534].start 14587.37159375
transcript.pyannote[2534].end 14593.83471875
transcript.pyannote[2535].speaker SPEAKER_28
transcript.pyannote[2535].start 14589.97034375
transcript.pyannote[2535].end 14594.67846875
transcript.pyannote[2536].speaker SPEAKER_28
transcript.pyannote[2536].start 14594.93159375
transcript.pyannote[2536].end 14595.33659375
transcript.pyannote[2537].speaker SPEAKER_28
transcript.pyannote[2537].start 14595.58971875
transcript.pyannote[2537].end 14598.47534375
transcript.pyannote[2538].speaker SPEAKER_28
transcript.pyannote[2538].start 14598.96471875
transcript.pyannote[2538].end 14604.70221875
transcript.pyannote[2539].speaker SPEAKER_28
transcript.pyannote[2539].start 14605.00596875
transcript.pyannote[2539].end 14608.44846875
transcript.pyannote[2540].speaker SPEAKER_28
transcript.pyannote[2540].start 14608.85346875
transcript.pyannote[2540].end 14618.03346875
transcript.pyannote[2541].speaker SPEAKER_28
transcript.pyannote[2541].start 14618.08409375
transcript.pyannote[2541].end 14621.71221875
transcript.pyannote[2542].speaker SPEAKER_28
transcript.pyannote[2542].start 14622.04971875
transcript.pyannote[2542].end 14623.31534375
transcript.pyannote[2543].speaker SPEAKER_28
transcript.pyannote[2543].start 14624.26034375
transcript.pyannote[2543].end 14628.29346875
transcript.pyannote[2544].speaker SPEAKER_28
transcript.pyannote[2544].start 14628.46221875
transcript.pyannote[2544].end 14636.66346875
transcript.pyannote[2545].speaker SPEAKER_28
transcript.pyannote[2545].start 14636.93346875
transcript.pyannote[2545].end 14639.58284375
transcript.pyannote[2546].speaker SPEAKER_28
transcript.pyannote[2546].start 14639.76846875
transcript.pyannote[2546].end 14645.28659375
transcript.pyannote[2547].speaker SPEAKER_28
transcript.pyannote[2547].start 14645.52284375
transcript.pyannote[2547].end 14648.15534375
transcript.pyannote[2548].speaker SPEAKER_17
transcript.pyannote[2548].start 14647.27784375
transcript.pyannote[2548].end 14647.44659375
transcript.pyannote[2549].speaker SPEAKER_28
transcript.pyannote[2549].start 14648.47596875
transcript.pyannote[2549].end 14651.15909375
transcript.pyannote[2550].speaker SPEAKER_28
transcript.pyannote[2550].start 14651.78346875
transcript.pyannote[2550].end 14656.17096875
transcript.pyannote[2551].speaker SPEAKER_28
transcript.pyannote[2551].start 14656.45784375
transcript.pyannote[2551].end 14658.39846875
transcript.pyannote[2552].speaker SPEAKER_28
transcript.pyannote[2552].start 14658.82034375
transcript.pyannote[2552].end 14662.53284375
transcript.pyannote[2553].speaker SPEAKER_28
transcript.pyannote[2553].start 14662.81971875
transcript.pyannote[2553].end 14665.18221875
transcript.pyannote[2554].speaker SPEAKER_28
transcript.pyannote[2554].start 14665.62096875
transcript.pyannote[2554].end 14669.51909375
transcript.pyannote[2555].speaker SPEAKER_28
transcript.pyannote[2555].start 14669.75534375
transcript.pyannote[2555].end 14671.37534375
transcript.pyannote[2556].speaker SPEAKER_28
transcript.pyannote[2556].start 14671.76346875
transcript.pyannote[2556].end 14677.66971875
transcript.whisperx[0].start 105.236
transcript.whisperx[0].end 105.619
transcript.whisperx[0].text 由 Amara.org 社群提供的字幕
transcript.whisperx[1].start 574.831
transcript.whisperx[1].end 575.323
transcript.whisperx[1].text 由 Amara.org 社群提供的字幕
transcript.whisperx[2].start 1267.263
transcript.whisperx[2].end 1276.01
transcript.whisperx[2].text 好現在開會初期委員已足法定人數現在開會請議事人員宣讀上次會議的議事錄
transcript.whisperx[3].start 1284.229
transcript.whisperx[3].end 1311.821
transcript.whisperx[3].text 立法院第11屆第4會期交通委員會第5次全體委員會議議事錄時間114年11月3日星期一上午9時至11時43分11月5日星期三上午9時至11時55分地點北院紅樓201會議室出席委員洪孟凱等15人立席委員鍾嘉斌等19人立席官員11月3日交通部常務次長林國賢等11月5日數位發展部部長林怡瑾
transcript.whisperx[4].start 1312.361
transcript.whisperx[4].end 1341.653
transcript.whisperx[4].text 及交通部部長陳士凱等主席李昭吉委員崑哲11月3日報告四項宣讀上次會議議事錄決定議事錄確定討論事項審查氣象法修正潮案等案本日會議由交通部常務次長林國賢等報告後藉由委員洪孟凱等14人提出質詢均經常務次長林國賢等分別予以答覆決議一報告及詢答完畢二委員何新泉等二委員
transcript.whisperx[5].start 1342.557
transcript.whisperx[5].end 1369.506
transcript.whisperx[5].text 核心存提書面諮詢三委員諮詢中要求提供相關書面資料或為其答覆部分請交通部及相關機關盡速書面答覆四討論四項個案均另定其繼續審查十一月五日討論四項一至四審查定性管理法氣象法商港法傳播法修正潮案等案本日會議由委員沈伯陽等說明提案要旨由數月發展部部長林怡靜等報告後
transcript.whisperx[6].start 1369.906
transcript.whisperx[6].end 1370.667
transcript.whisperx[6].text 好 等一下再確定意思錄
transcript.whisperx[7].start 1400.47
transcript.whisperx[7].end 1426.747
transcript.whisperx[7].text 先介紹在場的委員 侯孟楷昭委來介紹官員行政院公共工程委員會 陳金德主委副主任委員 李維祥副主任委員陳維祥 抱歉李怡德副主任委員羅天健主任秘書
transcript.whisperx[8].start 1429.825
transcript.whisperx[8].end 1458.806
transcript.whisperx[8].text 企劃處代理處長謝基正技術處曾鈞敏處長工程管理處陳春錦處長秘書處邵志祺處長好 以下好
transcript.whisperx[9].start 1459.854
transcript.whisperx[9].end 1465.139
transcript.whisperx[9].text 現在請公共工程委員會曾經的主委進行報告
transcript.whisperx[10].start 1475.17
transcript.whisperx[10].end 1492.475
transcript.whisperx[10].text 主席 各位委員 先進 大家好行政院公共工程委員會業務報告書面資料請參閱 以下緊究施政重點口頭補充說明第一 擔任丹納斯風災災後復原前進指揮所幕僚單位
transcript.whisperx[11].start 1493.755
transcript.whisperx[11].end 1513.911
transcript.whisperx[11].text 以及丹納斯風災特別條例的主管機關工程會協調行政院各部會執行丹納斯風災的特別預算也協助雲嘉南等災區進行災後重建工作目前災區的防護受損修繕工作大致已經完成
transcript.whisperx[12].start 1515.012
transcript.whisperx[12].end 1539.611
transcript.whisperx[12].text 第二 針對花蓮馬太安溪縣社福災害 奉行政院指示在花蓮縣光湖鄉設置一站式服務平台那麼工程會也擔任幕僚單位協助災民發放衛助金 汽車 汽機車報費申請證件等工作另外行政院也成立馬太安溪縣社福災後復原
transcript.whisperx[13].start 1541.312
transcript.whisperx[13].end 1566.325
transcript.whisperx[13].text 重建中央協調匯報由本會擔任幕僚單位第三大院已經三讀通過的花蓮馬太安溪院舍服務災後重建特別條例那麼也由本會來擔任主管機關行政院課證籌備特別預算將競速送請 函請大院審議也敬請各位先進予以支持
transcript.whisperx[14].start 1567.54
transcript.whisperx[14].end 1582.45
transcript.whisperx[14].text 第四推動公共工程節能減碳作為訂定公共工程節能減碳減核注意事項也建立了公共工程減碳參考指引將減少溫室氣體排放納入最有利標評選項目
transcript.whisperx[15].start 1589.096
transcript.whisperx[15].end 1597.261
transcript.whisperx[15].text 五 修正公共工程金職獎頒發作業要點提高金職獎參選案件的查核頻率
transcript.whisperx[16].start 1600.424
transcript.whisperx[16].end 1618.648
transcript.whisperx[16].text 第六也嚴提政府採購法的修正查案目前已進行預告內容包括改進停權機制那麼也刪除第一次招標應達三家合格廠商投標時的開標之限制改採剛性採購企業範本等
transcript.whisperx[17].start 1621.616
transcript.whisperx[17].end 1636.236
transcript.whisperx[17].text 第七 修正勞務採購企業範本 增訂了品德及忠誠查核條款第八 修正工程採購企業範本 機關應負責AC刨除料之去化暫存
transcript.whisperx[18].start 1637.745
transcript.whisperx[18].end 1658.947
transcript.whisperx[18].text 第九 持續建立公共工程施工廠商履歷 至今已累積超過13000家公共工程施工廠商第十 同時建立公共工程參與人員履歷 目前已收集超過16萬筆資料那麼以上重點報告 敬請主席及各位委員指教 謝謝
transcript.whisperx[19].start 1666.906
transcript.whisperx[19].end 1690.293
transcript.whisperx[19].text 好 我們現在要進行詢答先宣告以下事項詢答時間出席委員6加2分鐘列席委員6分鐘委員方案登記於10點30分截止各委員如有臨時提案請於10點前提出以便議事人員彙整
transcript.whisperx[20].start 1691.796
transcript.whisperx[20].end 1711.424
transcript.whisperx[20].text 休息時間 我會在適當時間來宣布現在請登記第一位 洪孟凱召委發言好 主席謝謝 麻煩請陳主委請陳主委
transcript.whisperx[21].start 1719.933
transcript.whisperx[21].end 1741.887
transcript.whisperx[21].text 好主委早主委現在公共工程委員會因為在今年颱風比較多所以說我們有兩個重建條例都要麻煩工程委員會好好緊盯進度跟加快腳步那我想在這一次鳳凰颱風到最後雖然說沒有造成全島全台許多民眾的一個災情但中南部還是確實有一些風雨的影響
transcript.whisperx[22].start 1742.864
transcript.whisperx[22].end 1760.594
transcript.whisperx[22].text 那我們也看到新聞媒體畫面就有講到是說到目前為止台南都還是有一些民宅是用帆布他的屋頂還沒有修繕那當然我看到今天我們的報告裡面也有列出這個數據其實是有修繕的那中間的落差到底在哪裡是不是可以再說明一下
transcript.whisperx[23].start 1761.814
transcript.whisperx[23].end 1777.701
transcript.whisperx[23].text 前進指揮所協調全國超過290家廠商進駐梅河屋頂受損的民眾來做修繕總是完成超過一千家的廠商而且
transcript.whisperx[24].start 1778.681
transcript.whisperx[24].end 1798.533
transcript.whisperx[24].text 行政院也補助這個受災居民相關的經費弱勢者完全免費那至於不修繕的部分我們也足以去詢問確認他是否不修繕那麼足以詢問有的是因為產權的問題有的是因為根本沒有住在那裡這個掌握有多少
transcript.whisperx[25].start 1799.073
transcript.whisperx[25].end 1813.591
transcript.whisperx[25].text 因為我們看到在這一次即便是鳳凰颱風前都還有譬如說七谷區譬如說台南市長黃偉哲都還下令全面的檢測甚至七谷區的災民也講說還蓋帆布那就代表是說他其實還是住在那邊啊
transcript.whisperx[26].start 1813.951
transcript.whisperx[26].end 1838.932
transcript.whisperx[26].text 他不願意修繕 然後有的不住在那裡因為產權複雜 所以不修繕有的是倉庫 有的是其他的各式各樣我們有請各區區長挨家挨戶的去確認 而且簽名說這個不需要修繕但是 來 這樣子 主委他不願意修繕 但是他的屋頂破損是事實我們也看到新聞畫面 確實還有一些民宅是有帆布那會不會造成公共危險
transcript.whisperx[27].start 1840.097
transcript.whisperx[27].end 1862.271
transcript.whisperx[27].text 所以有的是鼓勵拆除如果拆除的話是政府免費幫他拆除免費去化這些營建的廢棄物那如果他仍然不接受拆除那麼也不修繕那麼台南市政府會依據相關法規要求一定時間之內改善否則一這個建築法相關規定會強制拆除
transcript.whisperx[28].start 1862.751
transcript.whisperx[28].end 1878.76
transcript.whisperx[28].text 是因為畢竟他如果說是帆布然後又這樣子的一個這個不夠穩固的情況甚至剛剛有如同您講的他可能人不住在那邊那如果人不住在那邊那下一次有風災來或是有任何情況的話他有可能那個地方會影響到周邊的民眾
transcript.whisperx[29].start 1879.64
transcript.whisperx[29].end 1900.067
transcript.whisperx[29].text 對 所以有請台南市政府就依建築法相關規定那麼告知請求改善 否則就強制拆除而讓我們國人更看到不希望看到就是台灣絕對不是一個我們絕對不是一個落後的地方嘛中華民國不應該存在說到這個時間點的四個月後都還有民宅是用帆布蓋著
transcript.whisperx[30].start 1900.527
transcript.whisperx[30].end 1916.978
transcript.whisperx[30].text 那這樣好像是我們大家沒有動起來但事實上要人給人 要錢給錢這次的條例600億立法院也沒有任何刪除甚至我們也希望加速進行而我現在還看到是說我們可能針對這次條例還會再提高追加預算 是不是
transcript.whisperx[31].start 1918.659
transcript.whisperx[31].end 1932.974
transcript.whisperx[31].text 並沒有提高最佳預算的這個計畫不過針對這個要自行修繕不管他是自行修繕完畢或未修繕完畢那麼我們前一陣子才每戶再加發兩萬塊目的就是希望他趕快自行修繕
transcript.whisperx[32].start 1933.715
transcript.whisperx[32].end 1961.495
transcript.whisperx[32].text 好 那主委我再請教一下那台南嘉義的部分我們這邊討論一個部分那另外花蓮地區到現在煙色湖的狀況因為在這次的鳳凰颱風裡面又發生名利村有淹水並且液體的事件那我們到底現在對於煙色湖因為我們也看到之前內政部已經有請我們水利專家李鴻元李鴻元也講是說其實馬太安溪的煙色湖左偏波是不穩的
transcript.whisperx[33].start 1962.256
transcript.whisperx[33].end 1974.47
transcript.whisperx[33].text 那也給予相關的建議我想這些建議其實都應該是當作是我們的工程單位的一些參考但到目前為止講說政府沒有展開討論那會不會就變成還是一個不定期炸彈
transcript.whisperx[34].start 1976.695
transcript.whisperx[34].end 1996.774
transcript.whisperx[34].text 縣社府農業部持續在監測當中那麼也準備做變道一直上去到縣社府這個地方但是變道必須大概六個月才能夠完成那麼這個等於是狀況持續掌握包括到昨天晚上那麼也發現沒有 主委我們先還原一下譬如像這次的名利村事件
transcript.whisperx[35].start 1997.575
transcript.whisperx[35].end 2017.77
transcript.whisperx[35].text 水利署在之前其實名利村村長也都一直示警是說那邊有可能會有議題的危險那水利署在之前還沒有發生議題的時候也媒體報導就講是說放心不會有問題但沒想到不到一天的時間就發生議題我跟委員報告馬太安溪的北方是光復跟萬種比較高
transcript.whisperx[36].start 2019.671
transcript.whisperx[36].end 2040.208
transcript.whisperx[36].text 它的南邊是光護箱比較低那麼右邊的堤防會比較好但是因為整個馬太安溪目前河床幾乎跟堤防一樣高有的甚至比堤防還高換句話說只要好雨下來每個地方都會溢流因為整個馬太安溪已經很高所以它就是一個不定時炸彈啊它現在是積極在促進這就是跟現場那個村長他們觀察的是一樣的意思因為馬太安溪非常大 範圍非常廣
transcript.whisperx[37].start 2046.994
transcript.whisperx[37].end 2072.448
transcript.whisperx[37].text 所以要積極再輸進 輸進就要有變道因為卡車進進出出有變道所以這個水利署一直到昨天凌晨把那個整個把它疏洪道已經開闢出來然後也加強了圍堵暫時停住名利村繼續淹水的問題那這部分我們會要求經濟部水利署必須非常的
transcript.whisperx[38].start 2074.149
transcript.whisperx[38].end 2090.541
transcript.whisperx[38].text 這個注意監測那個地方的狀況如果有民眾反應應該隨時改善那我要說的是整個馬太安溪河床非常高所以並不是說一個變道變成一個主要切口每個地方都可能溢過去好 其實主委你剛剛講這個話相對是公允
transcript.whisperx[39].start 2092.583
transcript.whisperx[39].end 2109.759
transcript.whisperx[39].text 就是說不是因為以前我們都存在是人定勝天但是看到現在極端氣候的狀況那還有就是說如果真的有一些地方是沒有辦法掌握那地方的民眾確實有災情回報的時候這就不分中央地方大家應該要共同面對跟解決
transcript.whisperx[40].start 2110.66
transcript.whisperx[40].end 2133.453
transcript.whisperx[40].text 而不是說有這種我們看到媒體報導居然還有這個水利署官員當然他是什麼樣他可能是想要安災民的心可是如果說應該要把確實的風險也都應該要如實的告知才不會造成這種錯誤的落差其實有些時候錯誤的落差很有可能會導致喪失黃金的這個逃命時間或是黃金的救援時間
transcript.whisperx[41].start 2134.333
transcript.whisperx[41].end 2156.431
transcript.whisperx[41].text 因為水利署也提起動員的幾個河川分署積極在輸進當中而且那個輸進不是3年5年可以完成恐怕10年20年所以現在主委能不能讓國人知道現在也已經過了那一段時間了那現在馬太安溪這個部分你剛剛講有可能要動員要10年才有可能讓花蓮鄉親完完全全不會有
transcript.whisperx[42].start 2157.685
transcript.whisperx[42].end 2173.973
transcript.whisperx[42].text 未來不用再提心吊膽馬太安溪的輸進要輸進到一個程度需要很長時間因為太大了所以我們現在計畫的時程日期因為現在還好過了11月可能不會有太大的好雨第一個是
transcript.whisperx[43].start 2175.174
transcript.whisperx[43].end 2200.999
transcript.whisperx[43].text 官戶鄉這邊的堤防要做成這個超級堤防就是目前是寬是10米 這樣會做50米那甚至在往 五倍之多對 然後甚至在往外推200米的滯洪道所以等於第三個防線 這是堤防的部分那河川疏進加緊進行那會做變道道驗射壺 監測驗射壺那驗射壺因為那個地方容易崩塌
transcript.whisperx[44].start 2201.519
transcript.whisperx[44].end 2207.153
transcript.whisperx[44].text 那據我了解目前它的原又 變色壺的右側又少數的崩塌了
transcript.whisperx[45].start 2209.028
transcript.whisperx[45].end 2234.198
transcript.whisperx[45].text 所以 主委 到明年 因為現在11月了嘛那到明年的夏季 颱風雨季來臨之前這一些短暫地級的危險 能不能把它改善我會要求農業部呢 在明年就是夏季 夏天之前六月之前 儘速把那個從底下的便道一直做到驗射火必須明年六月之前要完成有辦法
transcript.whisperx[46].start 2235.218
transcript.whisperx[46].end 2248.468
transcript.whisperx[46].text 經費已經到位了 三百億也已經通過了我們要求農業部盡速趕工明年六月之前完成那個變道那個變道打通了之後機具才有可能上去 人才有可能上去好 主委最後一個問題喔
transcript.whisperx[47].start 2250.595
transcript.whisperx[47].end 2272.996
transcript.whisperx[47].text 前天看到中油的三接的一個工程也有媒體報導我想你這邊有看到因為這是一個全國矚目的工程從當時的公投到現在持續在進行當中那但是居然有報導出現說有這個中間的過程裡面還要從原本的94億然後一直要增加到250幾億諸位
transcript.whisperx[48].start 2276.828
transcript.whisperx[48].end 2291.302
transcript.whisperx[48].text 看到這個報導之後你會不會覺得很訝異先講 掌管全國公共工程照理講不應該出現公共工程有這樣子的一個離譜狀況我們一般機關的小額採購都不可能更何況是一個牽涉到幾百億的國家工程
transcript.whisperx[49].start 2292.113
transcript.whisperx[49].end 2316.742
transcript.whisperx[49].text 我跟委員報告中郵已經澄清了沒有這回事了這個是他的第二期所以這個是媒體的誤傳媒體的報導錯誤可能有人蓄意放這樣的消息因為預算不是中郵能編的預算他是委託公共工程有查核過了嗎到目前為止如果說中郵有這樣說明本身有看到但我說公共工程有沒有去做了解
transcript.whisperx[50].start 2319.428
transcript.whisperx[50].end 2322.082
transcript.whisperx[50].text 這一個算是一個列管案件重大工程的列管吧
transcript.whisperx[51].start 2325.851
transcript.whisperx[51].end 2348.55
transcript.whisperx[51].text 本席強調本席是有任何不法我們絕對支持減掉勿枉勿縱我們可以去查核了因為這個本身就是重大公共工程本來我們是管進度管工程品質那如果說這個採購過程如果有這樣的事情那當然公共工程委員會會依職責去了解了不過因為我也擔任過專務董事長
transcript.whisperx[52].start 2351.292
transcript.whisperx[52].end 2377.813
transcript.whisperx[52].text 那我了解這個這個不會是任內不是第一期還沒有發報我就下台了第二期的部分他是顧問公司來籌編的好來那我只最後請教一件事這一個工程以我們公共工程的專業來講因為他其實差距非常大如果說九十幾億可以做出來到最後兩百多億那等於是暴增兩倍多的工程經費
transcript.whisperx[53].start 2379.107
transcript.whisperx[53].end 2398.861
transcript.whisperx[53].text 合理嗎這部分我們會了解就是跟物價或設計沒有關係而且他是跟原來在岸上的施工已經完全不一樣原來設計是在岸上那現在被往外推將近一公里所以那個經費一定增加的經費增加可能但是增加兩倍三倍合不合理這是重點嗎這個我們會去了解好
transcript.whisperx[54].start 2402.382
transcript.whisperx[54].end 2420.705
transcript.whisperx[54].text 請再給本席以及我們交通委員會再後續了解的資料好不好謝謝好謝謝侯孟凱召委發言完畢現在請林國我們先確定醫師路抱歉醫師路有沒有問題好謝謝現在請林國成委員發言
transcript.whisperx[55].start 2430.18
transcript.whisperx[55].end 2437.225
transcript.whisperx[55].text 好謝謝主席好我們工程會陳主委請陳主委還有陳副主委請陳副主委委員長好主委最近因為救災很忙那我相信工程會所有的業務陳副主委也是駕輕就熟那我在看這個貴單位過去我一再強調
transcript.whisperx[56].start 2460.561
transcript.whisperx[56].end 2482.547
transcript.whisperx[56].text 團結合作從要解散到現在我很堅持這個單位不能解散是太重要了那我要接下去也就是我們洪孟楷召委所關心的因為雖然這些是中有的事情可是這些一定跟合約有關
transcript.whisperx[57].start 2483.991
transcript.whisperx[57].end 2500.841
transcript.whisperx[57].text 所以現在豐豐一宜94億既然適度的加價到253億當然這個部分當然跟合約有關所以合約有關的東西當然就跟工程會有關
transcript.whisperx[58].start 2502.222
transcript.whisperx[58].end 2527.353
transcript.whisperx[58].text 所以第一個我要請教主委也就是延續中油這個案子剛才你答覆這個也不是你當董事長的時候手花生但是最起碼這已經有三年左右了包括風風雨雨檢舉到最後現在媒體才開始闢落主委說實在的站在我的立場
transcript.whisperx[59].start 2528.493
transcript.whisperx[59].end 2556.793
transcript.whisperx[59].text 民意代表建議你的就是跟你職責有關的現在我們的政府我們賴政府在做事情我坦白講啊該講的不講不該講的偏偏講其實像這些東西就要透過公共工程委員會的專業去談把這個調查清楚到底有沒有你現在在立法院講沒有可是媒體又是風風雨雨
transcript.whisperx[60].start 2558.376
transcript.whisperx[60].end 2583.333
transcript.whisperx[60].text 大家在那邊猜測四次的追加94億變成253億這對政府的威信是非常傷的所以主委你們應該追到這些我的認為跟公共工程委員會絕對有權利去了解第一個有沒有違反合約的規定第二個有沒有這些
transcript.whisperx[61].start 2585.518
transcript.whisperx[61].end 2608.991
transcript.whisperx[61].text 這個加價加到這種情形你們最起碼要去了解這些 主委你在詳細跟本席跟本彥特別來說明一下到底這整個經過 有沒有如果有到底怎麼樣形成這個應該你們有這種權利去了解啊把它釐清真相啊不是嗎 主委請回答
transcript.whisperx[62].start 2610.185
transcript.whisperx[62].end 2624.186
transcript.whisperx[62].text 根據中油的說明這個是顧問公司世西在訪價訪價他預算從頭到尾都是253億那中油政風也查並無這個外傳的這些事情
transcript.whisperx[63].start 2626.891
transcript.whisperx[63].end 2649.766
transcript.whisperx[63].text 訪價了之後跟預算 所以呢就是從頭到尾都253億元所以我們工程會呢 也會去了解那麼現在傳聞的事情 我們會要求中郵有個說法那來向貴委員會來說好 主委 其實我說實在的這本來你們就要主動調查
transcript.whisperx[64].start 2651.207
transcript.whisperx[64].end 2680.161
transcript.whisperx[64].text 只要牽涉到合約有關只要是國家重要公共工程我跟你講我們工程會是責不旁貸的是一定要去了解的不然的話就隨便他們怎麼做那我公共工程委員會存在的存在的意義是什麼是要監督這些要杜絕工程品質之外在合約裡面在搞鬼我想這個主委你同意我的說法吧
transcript.whisperx[65].start 2682.232
transcript.whisperx[65].end 2702.687
transcript.whisperx[65].text 不是啦 要了解啦 好不好好 各位多多久的時間可以了解清楚多久蛤不要說中游說怎麼樣就怎麼樣啦好 我們三個月太久了啦就詳細的集合了太久了啦
transcript.whisperx[66].start 2704.889
transcript.whisperx[66].end 2724.204
transcript.whisperx[66].text 差不多兩個月啦 差不多兩個月啦 好不好因為要成立 要正式成立集合小組啦對啦 對啦 差不多兩個月啦不要拖到三個月 我請副主委來補充好 副主委 那個跟你報告就是說我們有那個知道這個資訊啦有立即先去了解啦
transcript.whisperx[67].start 2724.884
transcript.whisperx[67].end 2738.824
transcript.whisperx[67].text 那初步就像主委剛剛跟您報告的那據我的了解他並不是簽約以後再從合約去變更他應該原來就200多億那可能是前面的緩價過程時不時在
transcript.whisperx[68].start 2740.746
transcript.whisperx[68].end 2757.127
transcript.whisperx[68].text 那這一塊因為根據媒體的報告好像檢調有介入在調查那我們會依照我們的集合機制去集合但是因為集合跟檢調有時候資訊會被檢調先拿走所以我們在不妨礙檢調調查的狀況底下進行集合
transcript.whisperx[69].start 2757.848
transcript.whisperx[69].end 2784.274
transcript.whisperx[69].text 其實你們一般來講 主委我特別一再我對於你這個主委的位置大家都覺得說這關很小 可是我認為很重要 你管他關大不大的問題前神台灣多少公共工程都要你們來監督 都要你們來協助不要忘了 你們當初任何國家的重大政策要
transcript.whisperx[70].start 2785.114
transcript.whisperx[70].end 2811.394
transcript.whisperx[70].text 跟工程有關的 一定是會你們的啊每一件事情你們都要了解 所以 拜託六十天 兩個月 一定把他理清楚這樣好不好好 另外一個本席非常重視啊 就是公安的問題可是這個單位啊 就很奇怪欸 七條人命欸 來 主委 這個是誰管的
transcript.whisperx[71].start 2812.389
transcript.whisperx[71].end 2835.806
transcript.whisperx[71].text 七條人命 除了勞動部要做以外 勞動部要查以外這七條人命如何解決 有沒有跟人家民事的這些和解主委 你有沒有了解這些事公安當然不是你們啦 但是發生事情你們也要去監督啊
transcript.whisperx[72].start 2837.177
transcript.whisperx[72].end 2855.992
transcript.whisperx[72].text 現在怎麼樣跟媒體的報告還是有一點點出入那麼就中油三接這個外擴的工程大概這個組成因為他是共同承攬那麼就黃昌公司的部分他大概有三次的質安的問題
transcript.whisperx[73].start 2857.173
transcript.whisperx[73].end 2885.228
transcript.whisperx[73].text 那慈安大概死了三個人然後一個人受傷並不是媒體講的七個人 首先跟委員報告不是啦 下包傷啦下包傷 不是只有黃昌黃昌是三起其他還有下包傷喔那因為媒體講的是黃昌那我們部分會再去注意啦因為你捅包跟下包 下包發生事情 捅包掩蓋這是最要不得的所以主委 我跟你講 就是
transcript.whisperx[74].start 2886.657
transcript.whisperx[74].end 2910.704
transcript.whisperx[74].text 這個人命關天的情況之下不要去掩蓋事實就是事實所以啊我還是要拜託陳主委因為一向你上任以後我每一次都是在談公安的問題啊薪資的問題啊這個人命關天這可以預防的公安當然就是要公安那我們也承認三接的工程的危險度是高的
transcript.whisperx[75].start 2913.09
transcript.whisperx[75].end 2930.681
transcript.whisperx[75].text 這個承攬三接都是大的廠商大概都上市公司而且都承攬重大政府公務工程如果有公安致死我們會取消他的金職獎所以這些廠商一定跟這個職安這個受傷或死去的
transcript.whisperx[76].start 2932.463
transcript.whisperx[76].end 2954.655
transcript.whisperx[76].text 這個參與者一定會達成某程度就是一定有法律上的或者是我想這個公安的死亡那我現在就是說下包商網上的這個資訊是不明確私底下就解決掉我要拜託你們這次調查連這些也把它調查下去第一個就是
transcript.whisperx[77].start 2955.955
transcript.whisperx[77].end 2983.585
transcript.whisperx[77].text 訪價的問題 第二個就是公安的問題 是不是即時回報其實這種東西因為很多下包商他們都是這樣做喔私底下姐姐說 啊不要不要 不要這麼大啦我就請你把事情改觀 這個也是要不得的所以還是要把它列入紀錄所以要拜託這兩件事情 拜託主委要責成啊看副主委或者有關的那個來幫幫忙把它釐清這兩個部分 好不好好 謝謝
transcript.whisperx[78].start 2984.977
transcript.whisperx[78].end 3010.557
transcript.whisperx[78].text 好 謝謝林國成委員發言完畢好 接下來請李坤哲委員謝謝主席 請一下陳經德主委 請陳主委
transcript.whisperx[79].start 3016.218
transcript.whisperx[79].end 3034.357
transcript.whisperx[79].text 陳主委你好今年來極端型的氣候肆虐我們看到像丹拉斯颱風或是鳳凰颱風對於台方不管是南台灣或是最近的宜蘭蘇澳都造成很大的衝擊跟傷害
transcript.whisperx[80].start 3034.938
transcript.whisperx[80].end 3054.491
transcript.whisperx[80].text 那當然公共工程委員會並離職者當然是沒有直接的指揮救災也沒有說針對補助相關的是直接的這樣的一個參與不過公共工程委員會當然在事前的防災它相關的風險評估或是防災的標準
transcript.whisperx[81].start 3055.632
transcript.whisperx[81].end 3079.927
transcript.whisperx[81].text 這也是公共工程委員會的一個職責在救災的時候也提供這種掌握相關的救災的狀況以及提供應變中心專業的資源那當然在災後相關的重建計畫公共工程委員會也是扮演著重要的角色那其實不久前我去台南將軍參加一個活動
transcript.whisperx[82].start 3082.569
transcript.whisperx[82].end 3100.039
transcript.whisperx[82].text 其實在電視上我們看到災後的這樣的一個重建在進行或是在颱風當時造成這些屋頂重大傷害就覺得已經非常的心情沉重但是到現場一看真的是讓你眼淚都快掉下來
transcript.whisperx[83].start 3101.44
transcript.whisperx[83].end 3116.774
transcript.whisperx[83].text 屋頂受損的狀況以及還有部分的房屋還是用蓬布還是用蓬布來作為一個暫時的屋頂當然當地的民眾也說政府有相關的補助但是缺工
transcript.whisperx[84].start 3117.515
transcript.whisperx[84].end 3139.369
transcript.whisperx[84].text 缺料以及補助的金額大家都還是認為不夠了但是最重要還是缺工缺料這個部分當然公共工程委員會或是陳主委在過程當中都給予極大的一個專業的資源跟協助但是這個政府應該是要再加大相關的協助的力量請陳主委說明一下
transcript.whisperx[85].start 3140.647
transcript.whisperx[85].end 3150.4
transcript.whisperx[85].text 這次是因為台灣每年都有颱風那關於民宅受損的補助這麼普遍這是第一次
transcript.whisperx[86].start 3151.791
transcript.whisperx[86].end 3179.585
transcript.whisperx[86].text 原因是因為他民宅受損的數量很多那另外呢大多數弱勢為什麼是大多數弱勢呢因為這舊的三合院那屋頂已經修理好的大概都不會催但是是舊的瓦或舊的房子弱勢的住或是長年沒有修的所以行政院才確定這個透過這個大院通過的特別預算或者是
transcript.whisperx[87].start 3180.786
transcript.whisperx[87].end 3206.588
transcript.whisperx[87].text 特別統籌分配稅款去做一些資源衛助然後也協調公共工程相關的這個廠商將近300家去認養各個區台南重災區有17個區去認養那整個材料呢我們也把它定下來就是分成每坪2000每坪都是2000的3000的4000的都是比一般物
transcript.whisperx[88].start 3207.889
transcript.whisperx[88].end 3234.313
transcript.whisperx[88].text 一般的還低然後來媒合廠商我知道公共工程委員會以及行政院在相關的救災都全力的協助但是我認為在目前已經是11月了還是有災民用著帆布來遮蓋屋頂這個政府是逃避不了這樣的一個責任我認為說在缺工缺料這個部分當然陳主委也
transcript.whisperx[89].start 3235.714
transcript.whisperx[89].end 3255.453
transcript.whisperx[89].text 整合全國的這些廠商來進行相關的協助我認為還要再更積極每一戶都去問到家裡去問然後弱勢的免費幫你做你要拆的幫你拆會計務去化幫你去化要修繕的沒有廠商來修繕那
transcript.whisperx[90].start 3257.148
transcript.whisperx[90].end 3281.998
transcript.whisperx[90].text 還是有人認為他自行修站 那自行修站我們有補住 最後再加碼再發兩萬那我們的了解有的是事實上沒有住或者產權複雜 產權複雜甚至有的我看過一棟房屋是從去年地震的時候壞掉那地震的時候政府也有補住啊那個房子壞到現在還壞 所以並不是
transcript.whisperx[91].start 3282.538
transcript.whisperx[91].end 3306.352
transcript.whisperx[91].text 我的建議還是我們還是積極的整合相關的資料來針對相關的災禍這個不能說是政府的責任因為整個下去協助修繕的有的的確不修繕而且請區長每一戶去說你的確不修繕然後來有一個證明這些相關整合的資料還是要更確實的去掌握
transcript.whisperx[92].start 3307.052
transcript.whisperx[92].end 3332.221
transcript.whisperx[92].text 以及對災民相關的重建我們還是要更積極的來給予協助那接下來就是蘇澳的問題了當然宜蘭很會下雨蘇澳更是宜蘭最會下雨的地方我想主委也是蘇澳人那我對蘇澳也非常的熟悉有7年有在相關的這些大蘇澳地區相關的工作
transcript.whisperx[93].start 3333.061
transcript.whisperx[93].end 3355.857
transcript.whisperx[93].text 不管是愛丁國小、馬賽國小、南安國小都是由我當年不管是擴音設備、照明設備都是我去裝的40多年前其實我要請教這個主委就是說針對蘇澳這一次你對於蘇澳的了解相關的這些災後的重建的重點在哪邊
transcript.whisperx[94].start 3358.389
transcript.whisperx[94].end 3379.896
transcript.whisperx[94].text 蘇澳是蘇澳街上啦 因為蘇澳是宜蘭最會下雨的蘇澳有三個區嘛 南方澳新馬跟蘇澳 蘇澳又特別會下雨近年來那附近等於全國這個雨量是最多的那這一次呢有局部的有淹了所以我們立即也動員了國軍然後協助清理那
transcript.whisperx[95].start 3381.721
transcript.whisperx[95].end 3407.876
transcript.whisperx[95].text 有一個下水道水利署會來再繼續來施作另外蘇阿溪分洞昨天院長也正式宣布新增了21億總共75億全部由中央來補助宜蘭縣政府做這個蘇阿溪分洞道那這個工期大概3年左右會完工那蘇阿溪分洞做好之後有山上下來的雨水就可以部分分流到
transcript.whisperx[96].start 3408.957
transcript.whisperx[96].end 3436.57
transcript.whisperx[96].text 南方澳的內皮海灘 內皮海岸所以蘇澳街上就會比較減少這些受災的可能另外就是阿里史溪他有一個治理計畫那個之前已經完成了那抽水機也有了我們會要求這個相關單位那麼繼續去有沒有繼續加強的地方那如果這兩個做完了之後我想會減少蘇澳街上那淹水的這個機率
transcript.whisperx[97].start 3437.971
transcript.whisperx[97].end 3456.76
transcript.whisperx[97].text 我想還是要更具體的來協助宜蘭縣政府進行相關的這些災後重建的公共工程讓蘇澳的民眾可以得到更具體生命財產的一個基本的保障主委我現在要請教說我們台灣的公共工程每年植栽
transcript.whisperx[98].start 3458.217
transcript.whisperx[98].end 3475.078
transcript.whisperx[98].text 死亡的人數還是非常高大概都在30人至40人當然歷年的這種直災死亡人數來對比營造業這樣的一個大方向先來做一個比較全部的死亡人數在2022年是320人
transcript.whisperx[99].start 3478.321
transcript.whisperx[99].end 3496.613
transcript.whisperx[99].text 營造業就佔了156人2023、2024年也都是差不多這樣的一個比例是越來越高了到2024年甚至營造業已經佔了51%那我們的公共工程一年的建樹跟死傷的人數其實都還是有30人至40人
transcript.whisperx[100].start 3498.214
transcript.whisperx[100].end 3524.168
transcript.whisperx[100].text 我們公共工程是國家重要的一個工程的應該是作為一個指標對勞工生命保障的一個基本的指標但是每年還是有30人至40人這樣重大的死亡件數讓我們真的是覺得公共工程必須針對這個部分還是要全力的加以督促其實我們看到歷年這種高低差沒有設置這種
transcript.whisperx[101].start 3525.248
transcript.whisperx[101].end 3539.791
transcript.whisperx[101].text 防罪的設施件數也逐年在增加每年都有一千件以上那今年的一至十月都已經有841件那很重要就是說歷年的職災死亡人數營造工程
transcript.whisperx[102].start 3540.95
transcript.whisperx[102].end 3558.159
transcript.whisperx[102].text 它占比很高而且逐年增加那營造業的這種職安是我國職安面臨最大的課題但是我們針對公共工程方面雖然有輕微改善那每年職階還有30人至40人死亡那在審核到的違規樣態裡面
transcript.whisperx[103].start 3560.902
transcript.whisperx[103].end 3582.02
transcript.whisperx[103].text 最大宗的就是高低差兩公尺以上沒有按照規定去設置這種防罪設施每年大概有一千件這種也就是說在公共工程的現場基礎的防護設施都不夠工程會有沒有督促業者做具體改善的作為來說明一下
transcript.whisperx[104].start 3582.837
transcript.whisperx[104].end 3610.488
transcript.whisperx[104].text 報告委我想這個質案的問題除了公共工程委員會當然督導公共工程是責無旁貸那另外主管機關是勞動部那勞動部主管機關他有他的這個罰則或者是相關的這個這個處理所以我覺得我們公共工程委員會相關的查核將來要跟勞動部來配合然後相關的一個平台聯繫只要
transcript.whisperx[105].start 3611.788
transcript.whisperx[105].end 3636.418
transcript.whisperx[105].text 公共工程委員會去查核了發現有相關問題了我們立即就就跟勞動部聯合由勞動部治安檢查的去查他那個罰則處分處罰會比較高那第二個就是公共工程委員會裡面我就是查核查核再查核就密集的查核我想來減少這些公安的傷亡那第三個就是對於這些這個
transcript.whisperx[106].start 3639.844
transcript.whisperx[106].end 3659.756
transcript.whisperx[106].text 不設置相關公安設施的廠商我們將來在這個採購的評選裡面我想會調整這個評選分數這部分會相當程度扣分來嚇阻這樣的事情好 請主委加緊督促保障勞工的安全 以上好 謝謝
transcript.whisperx[107].start 3670.866
transcript.whisperx[107].end 3696.372
transcript.whisperx[107].text 謝謝現在請蔡吉山委員發言謝謝主席請陳主委請陳主委委員長 主委長有幾個問題來就教主委這個第一個我想過去媒體也都有報導就是有關這個我們在
transcript.whisperx[108].start 3700.145
transcript.whisperx[108].end 3728.05
transcript.whisperx[108].text 台灣很多個城市其實大部分都是這樣從路燈到號誌的這個施工啊當然這個施工路燈在內政部嘛那號誌可能在交通單位無論是中央政府或地方政府那我們會發現這個路燈啊施工施工有SOP但施工的安全譬如說我們常常會有這個
transcript.whisperx[109].start 3729.212
transcript.whisperx[109].end 3757.351
transcript.whisperx[109].text 螺絲釘大顆的螺絲釘為了鎖住那個燈路燈跟鎖住那個交通號誌所以那個那個螺絲釘都非常的尖非常的高那也因為這個螺絲釘所以你看齁這個包括車禍跌倒或者車禍去撞到這個螺絲釘導致這個受傷或者甚至死亡齁這個時有在媒體上報導那也因為這樣子齁這個
transcript.whisperx[110].start 3759.512
transcript.whisperx[110].end 3787.894
transcript.whisperx[110].text 我們行政院的公共政策參與平台連署也達標啦就是說螺絲釘突出結果造成這些生命的危害那所以呢這個本席覺得這個除了達標他要求泡沫內政部在施作的時候要怎麼去注意這個其實公共工程會應該有一個整體性的這個安全防護的準則來要求
transcript.whisperx[111].start 3789.456
transcript.whisperx[111].end 3804.274
transcript.whisperx[111].text 這個內政部或者交通部或者地方政府在施作相關路旁馬路旁邊的這個號誌或者這個照明設備都應該有這樣的一個標準 諸葦你的看法呢
transcript.whisperx[112].start 3806.035
transcript.whisperx[112].end 3833.866
transcript.whisperx[112].text 委員的意見非常好而且也是值得重視那如果是屬於道路的施工規範我們會找內政部來討論是否在內政部相關的施工規範裡面能夠修訂或增訂那麼加強比方說要螺帽等等這樣的一個或者是多高不能不能這個
transcript.whisperx[113].start 3837.016
transcript.whisperx[113].end 3855.613
transcript.whisperx[113].text 這個暴露出來之類的那我們會找內政部就他的施工規範是不是有修正的地方好 所以主委把內政部跟交通部找來在施工的規範當中有關安全的防護把它做一個
transcript.whisperx[114].start 3858.028
transcript.whisperx[114].end 3882.657
transcript.whisperx[114].text 綠定啦同時綠定好之後也要求各級政府從市政府到鄉鎮公所如果要做這樣的施工都必須符合這個規範為了施工規範訂定之後他就搬行而且所有的相關都要還要督促他們來做啦不是搬一個規範大家也要督促我大概給你多少多久的時間你可以來把這個規範做好
transcript.whisperx[115].start 3885.845
transcript.whisperx[115].end 3900.418
transcript.whisperx[115].text 這個要跟內政部討論那是不是這樣好不好我先給你三個月的時間那如果到時候三個月後還沒辦法做好那請公關成員再告訴本席到底是內政部交通部不配合還是其他有什麼問題這樣
transcript.whisperx[116].start 3901.018
transcript.whisperx[116].end 3919.863
transcript.whisperx[116].text 好我們就是剛才委員指示的三個月來找相關的部會來整個討論清楚是不是除了施工規範之外還有其他我們剛才沒有考慮到的要修正的安全最重要啦特別是這個都過去那麼多案例都因為
transcript.whisperx[117].start 3920.823
transcript.whisperx[117].end 3948.081
transcript.whisperx[117].text 突出的這個螺絲釘導致死亡或者是受傷我覺得這個是確保人民安全生命財產安全很重要的所以主委再拜託你那三個月之後如果未成那請工程會也告訴本席到底是什麼單位未成這個本席一定會嚴加監督這個到底是誰在拖這個事情好另外這個剛剛大家也去特別去注意到這個
transcript.whisperx[118].start 3951.601
transcript.whisperx[118].end 3955.612
transcript.whisperx[118].text 公共城啊 這個安全啊 就所謂死亡的人數啊
transcript.whisperx[119].start 3956.993
transcript.whisperx[119].end 3983.778
transcript.whisperx[119].text 我其實看一下過去這幾年的資料 我們的確這個人數的確有下降這個沒有問題 但下降到現在大概這兩年都已經這兩年的人數都會停留在一個位階上然後再要再降 看起來好像有一點停頓那這一樣跟剛剛上一個問題一樣 都是安全的問題
transcript.whisperx[120].start 3984.997
transcript.whisperx[120].end 4011.689
transcript.whisperx[120].text 所以呢本席會希望說我們這個我看查核的數量每一年4000多件這個沒有問題就是說換言之這幾年下降查核數沒有問題查核數依然達到那個標準但這個案件數往下那我看一下這個造成死亡的案件當中比較多的是第一名是這個
transcript.whisperx[121].start 4015.139
transcript.whisperx[121].end 4041.046
transcript.whisperx[121].text 扣點數最多的第一個是未設置合規格的防罪設施第二名是施工架位於穩定構造物妥實連接或未符合規定一個有48件這個連續5年這個都是最多微施第二名有19件有19件那其實這兩個會跟造成死亡原因這個意外的類型裡面這個
transcript.whisperx[122].start 4042.728
transcript.whisperx[122].end 4069.248
transcript.whisperx[122].text 最多死亡是最弱所以其實這兩者有相互呼應的關係就是你為施工架為穩固或妥實為設置合規格的防罪設施所以其實這兩個缺失最多也反映在這個所謂死亡意外裡面最多死亡意外就是最弱所以這兩個其實有一定程度的符合那主委
transcript.whisperx[123].start 4070.66
transcript.whisperx[123].end 4084.858
transcript.whisperx[123].text 你有什麼看法就是說接下來在未來這個數字可以讓他持續下降甚至達到這個沒有人傷亡的這樣的一個狀況除了剛才我提到的跟勞動部來
transcript.whisperx[124].start 4088.469
transcript.whisperx[124].end 4115.006
transcript.whisperx[124].text 來協同來查核之外加強查核頻率另外我們正在公告預告政府採購法那將來的這個採購企業範本會採剛性企業範本那如果這個採購法能夠獲得答應支持通過之後那也未來實施剛性企業範本我們會在企業範本裡面來修正關於如何防範
transcript.whisperx[125].start 4116.514
transcript.whisperx[125].end 4141.256
transcript.whisperx[125].text 勞安的問題那第二個呢我們可能還需要再加再來研究關於最有利標評選的分數的這個比例就是如果說這個廠商他就經常性的會造成因為這些設施不足造成這個傷亡那如果是除非說不可歸則於廠商
transcript.whisperx[126].start 4143.178
transcript.whisperx[126].end 4163.178
transcript.whisperx[126].text 如果是可歸則於廠商的那我們那個扣分的分數要再提高讓所有的廠商都有所警惕不能做做不好勞安就不要來承攬政府的公共工程這個本席支持但本席也有一個建議就是說我們在做這個施工查核的時候
transcript.whisperx[127].start 4164.72
transcript.whisperx[127].end 4180.261
transcript.whisperx[127].text 如果我們發現老師問題在哪裡那除了在這一個領域加強教育之外也應該透過查核的優化讓大家知道重點是什麼你說你犯了這個錯其實是很嚴重的
transcript.whisperx[128].start 4180.822
transcript.whisperx[128].end 4199.811
transcript.whisperx[128].text 也就是說如果我們所有的茶盒大家都同對茶盒的缺失都同樣標準的時候它其實在某幾個數字上它就無法凸顯現在的數字都是因為你的什麼問題沒有做好而導致的傷亡那適度的加以來優化
transcript.whisperx[129].start 4201.291
transcript.whisperx[129].end 4227.881
transcript.whisperx[129].text 我講優化不是只有處分包括政府去強調教育訓練在這幾個老師出問題的這個方面上面這個其實也是一個 除了剛剛主委提到之外其實這個也是可以考慮的方法那另外呢 第三個現在科技的運用我看有一些地方政府都開始所用AI來做工地的管理那這個其實公共城我應該要走在
transcript.whisperx[130].start 4230.385
transcript.whisperx[130].end 4258.688
transcript.whisperx[130].text 所有公安安全的這個相關單位的前面就可以協助 可以配合跟勞動部一起來怎麼樣把怎麼樣把這個安全 現在的科技AI已經運用到很厲害 進來怎麼管理因為安全其實常常是管理的問題那如果這個SOP透過科技來協助我相信他會有一定程度的提升 主委這個我本席建議的這兩點你的看法怎麼樣
transcript.whisperx[131].start 4259.622
transcript.whisperx[131].end 4274.127
transcript.whisperx[131].text 一切就是公安還是管理的問題那管理就是跟那個公司他的經營文化有關如果這個企業的管理人員如果是很認真做這件事情那麼這個公安的事故就會減少
transcript.whisperx[132].start 4275.347
transcript.whisperx[132].end 4297.934
transcript.whisperx[132].text 所以我們會遵照委員的這個指示來加強跟勞動部來合作好 謝謝主委 這個都應該加強確保這個所有的安全最後一個小小的問題就是本席過去提到那個AC拋除料去化的問題我也知道觀光省我會這一年多來很認真在協助處理這個事情那也有一些進度啦那本席會覺得說
transcript.whisperx[133].start 4300.855
transcript.whisperx[133].end 4312.782
transcript.whisperx[133].text 這個問題應該持續啦 現在剩下一些執行面包括我們現在要求內政部 交通部 地方政府辦理刨除戰自場選址等相關的事宜都在推動所以主委這個也要持續的加強
transcript.whisperx[134].start 4314.578
transcript.whisperx[134].end 4338.404
transcript.whisperx[134].text 因為已經相關的施工規範 企業範本都有修正了將來我們的陸基或者是面層都要用一定比例的刨除料那就是下限 所以一定要用那自然就會去化掉一些OK 這個本席感謝表示光誠會有把本席的話聽進去這是循環經濟 我們在講碳排嘛這是循環經濟很重要的一個環節啦好 謝謝主委 謝謝
transcript.whisperx[135].start 4341.468
transcript.whisperx[135].end 4363.204
transcript.whisperx[135].text 好謝謝蔡啟昌委員發言完畢現在請林俊憲委員發言好謝謝主席本席邀請我們工程會陳建德主委請陳主委
transcript.whisperx[136].start 4370.427
transcript.whisperx[136].end 4393.913
transcript.whisperx[136].text 主委長 主委過去工程會可能是一個比較不受到大家重視的一個單位甚至前幾年都還有提出那種聲音說要裁撤工程會但是剛好這幾年台灣發生一連串的極端汽油的災害我有特別看到凸顯出工程會的重要性
transcript.whisperx[137].start 4395.219
transcript.whisperx[137].end 4419.167
transcript.whisperx[137].text 看看我們丹利市颱風還有728豪宇的重建特別條例其實中央主管機關救災的主管機關重建特別條例的主管機關都是我們工程會所以可見在自己市的災後重建最重要的單位指揮就是我們工程會
transcript.whisperx[138].start 4420.666
transcript.whisperx[138].end 4443.796
transcript.whisperx[138].text 那我也感謝我們陳主委在台南的丹納斯颱風救災的時候成立的前進指揮所主委你是擔任指揮官那開始讓整個救災那個效率快速的一個提升只不過有一點可惜啦我曾經在總支局的時候也跟行政院提過這一點
transcript.whisperx[139].start 4445.792
transcript.whisperx[139].end 4469.577
transcript.whisperx[139].text 7月7號台南那個成災啊當然是颱風但7月30號才成立了前進指揮所那主委才進駐成為指揮官等於已經經過了三個禮拜所以下次如果萬一有發生不幸的這種災害其實應變的效率非常重要
transcript.whisperx[140].start 4470.868
transcript.whisperx[140].end 4498.332
transcript.whisperx[140].text 那其中我們可以看到不只是台南的丹納斯風災零四零三的地震這是花蓮艷澀湖災後重建工程會都是主管機關可見作為災後復建的統籌單位我也在這裡希望我們工程會同仁各位可以了解到其實如果不幸的遇到這種傷害我們工程會其實責任是非常重大
transcript.whisperx[141].start 4499.758
transcript.whisperx[141].end 4522.505
transcript.whisperx[141].text 我也提一點給主委當參考特別條例裡面 它有規範很多種其中有一種 第九條 它有特別提到主管機關應該要設立資訊網站專區這個也是我在質詢莊榮泰院長的時候我記得主委應該有注意到我也要求行政院 當資訊那麼混亂
transcript.whisperx[142].start 4524.336
transcript.whisperx[142].end 4545.231
transcript.whisperx[142].text 如果說很多災民或者是相關協助的民間單位啦或者在救災的需求或重建的需求那我們去哪裡找相關的資訊整合啦所以需要一個官網其實特別條例裡面有寫得很清楚第九條規範主管機關要設立一個官網
transcript.whisperx[143].start 4546.755
transcript.whisperx[143].end 4574.558
transcript.whisperx[143].text 那應該就是工程會那工程會有沒有設立啊我舉丹納斯台灣給主委當參考我們去google一下我設一個我google寫丹納斯專區啦又跑出了這幾個網站主委你可以一眼看出我們工程會的官網是哪一個嗎第一個你看經濟部的內政部的台南市政府的你搜尋出來的結果啊都看得很清楚
transcript.whisperx[144].start 4576.977
transcript.whisperx[144].end 4588.864
transcript.whisperx[144].text 你很難直接一眼就找到我們工程會設立的那個所謂官網其實這個官網應該才是最重要的你寫一個pcc.government.tw
transcript.whisperx[145].start 4591.745
transcript.whisperx[145].end 4607.498
transcript.whisperx[145].text 這個其實一般人你沒有點進去不會知道這個就是我們工程會統籌設立的一個官方網站我提這一點也給我們相關負責的工程會的主管
transcript.whisperx[146].start 4608.419
transcript.whisperx[146].end 4633.437
transcript.whisperx[146].text 你要了解到 在迫切需要資訊以及資訊混亂的時候 你要寫清楚一點讓大家可以一眼就看到 這個是工程會的那我可以進去裡面 找到我要的資訊那除了這樣的以外 那網站的內容是否有整合 就一般大家需要的不管你是協助救災的 或者是災民的需求
transcript.whisperx[147].start 4634.298
transcript.whisperx[147].end 4659.534
transcript.whisperx[147].text 等等我給主委當參考主委你大概有看到了另外前一陣子我們主委我們工程會有表揚協助救災的290家廠商並且納入了採購CSR指標我覺得這個非常好因為這一次我們有幾個過去從來沒有的創新的做法
transcript.whisperx[148].start 4660.543
transcript.whisperx[148].end 4688.23
transcript.whisperx[148].text 又第一次使用政府沒額廠商來進廠修繕這樣的一個做法甚至暫停了公共工程讓工班進入到災區未來這也是有協助的而且得獎的這個其實某種程度他們配合度也高我們也感謝他們所以你工程會才頒獎對不對這個其實就是我們的救災國家隊
transcript.whisperx[149].start 4690.871
transcript.whisperx[149].end 4717.428
transcript.whisperx[149].text 那像台南這次的災區那麼那麼大我們也需要說讓災民了解當我有需求的時候 我去哪裡找到這些好的廠商因為那個時候第一個欠不工 欠不人所以我們這290家廠商是不是可以再分類讓有需求的 因為有些有些災區的房子其實還沒弄好剛剛有幾位委員來詢問主委
transcript.whisperx[150].start 4719.591
transcript.whisperx[150].end 4742.878
transcript.whisperx[150].text 其實還沒有蓋好的災區的房子有很多種有的是災民他沒有經濟能力有的是根本沒有住人他不一定有意願要重建或者是修繕或者是有些有產權的問題等等 我不知道但是第一時間要公告這些廠商優良廠商的白名單這邊也給主委當參考
transcript.whisperx[151].start 4745.279
transcript.whisperx[151].end 4754.647
transcript.whisperx[151].text 那主委對這些對這樣的一個做法我們再次的感謝工程會在台南這次風災的一個協助主委有意見嗎
transcript.whisperx[152].start 4759.382
transcript.whisperx[152].end 4782.571
transcript.whisperx[152].text 謝謝委員的指導關於那個網站更清楚一點我們會來立即來改善那這次很謝謝那麼多廠商親手而且很多都是大廠商那我們就感謝他們能夠放下手頭的工作來進行修繕所以我們這個挑了200指示價有分特優跟優特優跟優
transcript.whisperx[153].start 4784.11
transcript.whisperx[153].end 4809.366
transcript.whisperx[153].text 我們這個感謝狀它將來可以作為它成覽公共工程去投標的時候如果是評選的標評選的這個方式那麼可以在企業社會責任CSA這邊可以額外再加分那這個加分就很重要謝謝委員一直這個來協助公共懲惡委員會來針對台南甲乙雲林等這個災後重建工作
transcript.whisperx[154].start 4810.239
transcript.whisperx[154].end 4830.2
transcript.whisperx[154].text 好 謝謝主委因為主委 最後時間我再跟主委討論一個事情就是我們所謂的綠色採購因為總統府幾天前總統府在半年前有召開第四次國家汽油變遷的委員會他有提到2030年我們的綠色採購目標要提升到10%
transcript.whisperx[155].start 4832.613
transcript.whisperx[155].end 4849.025
transcript.whisperx[155].text 那現在就所以裡面也有委員提出那我們現在是不是就應該要訂出2030年公共工程的一些綠色採購的項目和標準例如有綠色鋼鐵 綠色垂泥因為2030年綠色採購達到10%目前我請環境部算給我 這環境部計算給我的數字我們的綠色採購到去年只有3.4%
transcript.whisperx[156].start 4859.329
transcript.whisperx[156].end 4878.357
transcript.whisperx[156].text 只有3.4%那你2030年要達到10%那可見距離目標大概還有還有幾倍的路程要努力但是我看到我們現在訂的環境部本身他訂的所謂綠色採購他又有很多項目其實是非指定採購
transcript.whisperx[157].start 4879.929
transcript.whisperx[157].end 4898.939
transcript.whisperx[157].text 譬如減碳建材如果你公共工程減碳建材不是一定要採購那你如何達成綠色採購目標這樣是不是有矛盾那是不是這樣的所謂的一定要指定要採購的建材那這個那這個表是不是這種做法是不是要做檢討來請主委一下
transcript.whisperx[158].start 4901.246
transcript.whisperx[158].end 4918.613
transcript.whisperx[158].text 那報告委員因為利受採購的主管機關是環境部不過在政府採購法裡面有相關的條文就是說如果你採購機關為了因應一些環境保護措施減碳節能等等等你還是可以這個設立一些規範
transcript.whisperx[159].start 4919.793
transcript.whisperx[159].end 4944.704
transcript.whisperx[159].text 作為你採購的這樣的你講得很好 就會設立一些規範嘛主委 那個主席再給我但是呢有時候這個採購企業範本並不是剛性的所以我們現在已經預告政府採購法政府採購法如果修正通過將來我們工程會就訂定剛性的企業範本那這個採購機關呢他就可以因應他所要求的不管是綠色採購來達到這個環境保護或相關的目的
transcript.whisperx[160].start 4949.246
transcript.whisperx[160].end 4964.641
transcript.whisperx[160].text 我們再看一下英國的做法我舉個例子給你參考英國就是說你如果政府標案金額達到500萬英鎊那麼你想要來參與公共工程的廠商你就必須要承諾減碳目標而且你要提出那你標下這個工程你如何達到減碳的計畫
transcript.whisperx[161].start 4966.082
transcript.whisperx[161].end 4992.555
transcript.whisperx[161].text 所以這個也可以做為未來我們在做相關公共工程招標的一個規範的一個參考好 謝謝主委好 謝謝主席謝謝 謝謝林俊憲委員發言完畢在盧明哲委員發言之前先做以下的宣告我們會在何新淳委員發言完畢之後休息15分鐘
transcript.whisperx[162].start 4994.766
transcript.whisperx[162].end 5003.753
transcript.whisperx[162].text 請各黨團助理告知後續相關的委員以便安排他們自己的時間現在請魯明哲委員發言謝謝主席有請我們工程會主委請陳主委
transcript.whisperx[163].start 5022.747
transcript.whisperx[163].end 5047.614
transcript.whisperx[163].text 陳仲偉好委員長這個我們土木科系的類別的公務員在十年前的新聞已經變成稀有動物了可能會遇過他覺得有這種隱憂會衝擊公共工程的品質那今天十年之後再來看看當時的預言到底如何
transcript.whisperx[164].start 5048.254
transcript.whisperx[164].end 5063.625
transcript.whisperx[164].text 那時候公共工程的一個土木的一個科系的的人就已經缺額蠻多的招考人不來那這樣的一個情況其實影響非常非常大惡性的循環像我們在基層的從區公所跟我們
transcript.whisperx[165].start 5064.566
transcript.whisperx[165].end 5081.216
transcript.whisperx[165].text 市政府這一級的地方政府的一個公務單位說真的幾乎每一個每一個科每一個局都缺額很多那缺額很多就該怎麼辦現在到底這10年之後你看看改善情況如何你說一下吧
transcript.whisperx[166].start 5083.918
transcript.whisperx[166].end 5101.149
transcript.whisperx[166].text 每個鄉鎮公所最高值等9值等所以他不管是建設課長或等等一定都會缺尤其是民間的公共工就是民間的營造業者薪水高在政府機關待遇低
transcript.whisperx[167].start 5101.829
transcript.whisperx[167].end 5122.175
transcript.whisperx[167].text 那麼有時候承辦的公共工程金額龐大那麼一不小心會觸發所以很多具有技師資格的大概都在民間這是蠻嚴重的不過行政院呢那麼已經有做一些改善包括類似那種專業專業家級針對這個相關具有這個專業的這個土木啊結構啊他們都有一些獎金啦
transcript.whisperx[168].start 5131.687
transcript.whisperx[168].end 5151.2
transcript.whisperx[168].text 好陳主委其實這個嚴重的事情我們不再討論這個為什麼缺人缺人大概大致的理由十年都不變而且越來越嚴重可是問題是公共工程要做的從地方政府到中央政府這幾年要推的公共工程它的量是不減反正
transcript.whisperx[169].start 5152.02
transcript.whisperx[169].end 5174.714
transcript.whisperx[169].text 而且它的類別 它的項目很多是根本是創新的一個項目所以在這樣的 你公共工程持續要推如果你這些土木科技人你不夠那到底誰在第一線在顧誰在中央單位來去顧這個確實已經不是隱憂了是一個非常明顯的一個問題我們來看看最近十年之後 最近三年最近三年一樣
transcript.whisperx[170].start 5175.735
transcript.whisperx[170].end 5204.132
transcript.whisperx[170].text 需要的人數比剛剛講10年以前要更多因為顯然要做的事情更多缺額更大所以每一年需要的人數剛剛看12年從400多人到14年今年要757人但是錄取人數大概都會缺30%左右現在的一個情況實際的一個狀況是缺人那地方政府怎麼辦中央政府怎麼辦
transcript.whisperx[171].start 5205.473
transcript.whisperx[171].end 5231.755
transcript.whisperx[171].text 你說跟他們怎麼辦他們都早期待嘛所以工程會呢在明年度的預算115年預算有別人預算要跟相關具有土木科系的大學在偏鄉地區來辦理這種土木科的學分班那希望先從比方說花東或者其他地方來辦起讓在地的他
transcript.whisperx[172].start 5232.836
transcript.whisperx[172].end 5255.164
transcript.whisperx[172].text 他可能目前是聘用人員臨時人員他有機會來上這個學分班那協助他取得一定的資格或增加一些技能然後留在比較缺人的地方能夠來在公務單位來做事這個是目前我們跟考試院討論希望明年來進行的主委其實我相信你也跟我一樣非常憂心
transcript.whisperx[173].start 5256.184
transcript.whisperx[173].end 5276.2
transcript.whisperx[173].text 因為這個散布在全國不管是中央地方政府在第一線的工程單位如果都有這樣的你知道嗎人人對的事情就對了八成嘛那你連人都沒有現在很多的狀況就是找職代因為薪水還是不高嘛你相關背景的人來有時候也找不到你知道嗎找職代
transcript.whisperx[174].start 5277.721
transcript.whisperx[174].end 5302.675
transcript.whisperx[174].text 臨時的都找不到 結果現在開放到什麼地步啊隨便啦 商科 行政 隨便 青菜啦文科都無所謂 我不知道你知不知道這件事情如果現在原本的該公務背景的所有的單位他第一線找不到人 現在很多很多已經不限制要土木像工科的一個背景就直接來上來去補這個缺他最多只能做行政的工作
transcript.whisperx[175].start 5303.135
transcript.whisperx[175].end 5327.25
transcript.whisperx[175].text 如果你硬要他去牽合一些工程類的其實我是覺得這個是非常明顯的一個問題那如果他不做工程類的所有的事情就壓在幾個人身上我是覺得這樣的一個惡性循環現在已經是非常嚴重非常明顯但是不能不處理喔像現在我們有一些是十年以前想不到的說老師現在沒人要做
transcript.whisperx[176].start 5327.91
transcript.whisperx[176].end 5343.022
transcript.whisperx[176].text 你說我十年以前各位有想到嗎老師那時候我們天天在處理叫做流浪教室就是一堆人想要做老師進不去我們十幾年前不斷在處理這些事情現在的狀況是說沒有人要去做老師了
transcript.whisperx[177].start 5343.783
transcript.whisperx[177].end 5367.791
transcript.whisperx[177].text 但是可以不處理嗎我們可以講理由老師不來原因是因為什麼的ABCD然後所以老師就永遠缺額所以我覺得這個土木工程這個類別我知道看到你們預算變了860萬現在在花東地區花東地區跟大學結合因為他們已經不開了糟糕他們本來有這個科系的連這個學校都不開的原因就是
transcript.whisperx[178].start 5369.051
transcript.whisperx[178].end 5393.24
transcript.whisperx[178].text 沒有人啦在市場上沒有人要讀啦所以你現在透過補助方式產生一些誘因那我們也希望在花東這個有實驗成功而且在學校學成之後能夠真實轉換成我們在公務第一線的人員你覺得這個部分你會有信心嗎因為明年快要省預算了嘛你變成860萬你覺得可以落實嗎
transcript.whisperx[179].start 5395.001
transcript.whisperx[179].end 5418.779
transcript.whisperx[179].text 這個我們預定要跟國立宜蘭大學土木系合作上課地點就在花蓮車站那花蓮車站因為方便你花東是很長所以甚至他從玉嶺那邊搭火車來到花蓮車站直接上課下課直接搭火車回到家所以這個嘗試啊宜蘭大學也初步有興趣所以我們的課程師資包括工程會本身的
transcript.whisperx[180].start 5419.58
transcript.whisperx[180].end 5448.592
transcript.whisperx[180].text 本身就有一些工地班或者一些班工程會會去上課那希望能夠讓花東地區那麼有興趣的人有機會來做這個學問班的課程我們希望是有確實落實結果接下來是剛剛有委員特別說過了重大實災的問題說過了我就不再重複了那這幾年並沒有明顯的一個下降的一個趨勢但在去年的五月份我們特別當時在交通委員會排列一個
transcript.whisperx[181].start 5449.372
transcript.whisperx[181].end 5469.746
transcript.whisperx[181].text 怎麼樣去解決我們職安衛生的改善跟降低職業災害的專題報告就在交通委員會但當時您還沒上任當時是吳哲成這個主委他也特別強調跟勞動部各單位怎麼樣去合作怎麼樣去確保定一些規範然後要朝向
transcript.whisperx[182].start 5470.906
transcript.whisperx[182].end 5495.324
transcript.whisperx[182].text 工地 我們公共工程臨時在目標邁進當我們不斷邁進了整個這個過程我們真的發覺現在的現在這整個的一個狀況你說意外是難免的但是如果你去經過管控還產生了每一年都要三四十人這樣的在公共工程裡面這樣的一個死亡那這個部分你有什麼樣具體的方向嗎
transcript.whisperx[183].start 5496.786
transcript.whisperx[183].end 5513.424
transcript.whisperx[183].text 委員報告當然跟勞動部來合作或加強查核或者是在評分的時候如果職安傷亡規則與廠商的扣分另外有個問題我想跟委員報告有時候設施是其中一個問題
transcript.whisperx[184].start 5514.685
transcript.whisperx[184].end 5534.479
transcript.whisperx[184].text 管理也是一個問題對施工人員他是否遵照SOP那你有沒有管理到位也是一個問題所以這個問題不單純只是說防災的設施而已關於工程進行中的管理廠商這部分也很重要
transcript.whisperx[185].start 5536.48
transcript.whisperx[185].end 5549.635
transcript.whisperx[185].text 確實包括公務單位的人的管理廠商自我管理都非常重要但我們來看一下我們在審計部這次針對你們要管制工程品質施工安全整體的認為他認為你們的查核小組
transcript.whisperx[186].start 5553.98
transcript.whisperx[186].end 5568.081
transcript.whisperx[186].text 茶喝小組中央政府到地方政府總共有53個茶喝小組按道理他們在你們的制度命令之下在各個地方不斷的去看但是我們發覺省進步特別
transcript.whisperx[187].start 5569.162
transcript.whisperx[187].end 5589.013
transcript.whisperx[187].text 查完資料說有六個缺點我覺得這四個很重要待會你時間不夠你回去自己思考一下第一個你訂的規定啊他沒有按照你們規定來選案嘛簡單講選案你們原本規定說你們開始要選就選那個風險稍微高一點的優先嘛所以包括成績不良
transcript.whisperx[188].start 5590.875
transcript.whisperx[188].end 5614.272
transcript.whisperx[188].text 這個扣點比較多的廠商啊 你要優先來啦結果咧 他看了一下很多這些查核中心 不是你們啦包括地方政府 中央政府 總共53個他們根本沒有這樣去做 他就隨便那你挑起來就比較沒問題 你查當然沒有問題嘛那接下來等等的 我相信這個我覺得很多的 我發覺這個非常直接的問題 包括你們規定的
transcript.whisperx[189].start 5615.312
transcript.whisperx[189].end 5633.43
transcript.whisperx[189].text 成績的等低及扣點對應的原則啊大家打的分數全國要看得懂嘛對不對結果有些人完全不按照這種打分制度啊我要拜託一下啦我覺得很多的一個這個公安啦 由於公共工程啦跟你的制度落實SOP是真的有關的
transcript.whisperx[190].start 5634.211
transcript.whisperx[190].end 5647.587
transcript.whisperx[190].text 訂了一個好的SOP他們不去實踐這個部分是非常大的問題我們希望你們能夠能夠把這個問題能夠跟53個茶道中心能夠講清楚說明白能夠落實好不好
transcript.whisperx[191].start 5648.921
transcript.whisperx[191].end 5672.569
transcript.whisperx[191].text 針對查核看看能不能來修正或訂定一些查核的指引就剛才審計部所提出的這些有優先查核的或者透過這個規劃設計等等再做一個指引好 謝謝魯明哲委員發言完畢現在請陳素月委員發言
transcript.whisperx[192].start 5686.191
transcript.whisperx[192].end 5689.915
transcript.whisperx[192].text 謝謝主席 請主席邀請陳主委請陳主委委員長 主委早安我們知道這個統籌災後的復原重建工作是我們工程會很重要的這個工作 業務工作項目那我們看到今年我們台灣就是從
transcript.whisperx[193].start 5712.274
transcript.whisperx[193].end 5732.804
transcript.whisperx[193].text 7月初的丹納斯颱風之後帶來的環流影響造成7月8號的豪大雨也造成了台南高雄很嚴重的淹水災情7月28號又一場豪大雨造成了中南部包括嘉義嘉南地區很多房屋都受損
transcript.whisperx[194].start 5734.205
transcript.whisperx[194].end 5755.131
transcript.whisperx[194].text 嚴重的一個淹水的災情那包括在9月23號的這個花蓮馬太安溪的淹澀湖溢流造成了下游的光復鄉跟鳳林鎮也是遭受到非常嚴重的這樣子的一個災情那我們知道這連續的三應該是說三件這個災情都是由我們工程會負責
transcript.whisperx[195].start 5756.231
transcript.whisperx[195].end 5774.39
transcript.whisperx[195].text 統籌災後的一個復原的工作那我從新聞媒體報導也看到我們的陳主委都有到第一線去來這個在現場來統一調度關心那首先先請教主委就是說在主委將親自到這個災區去
transcript.whisperx[196].start 5776.011
transcript.whisperx[196].end 5800.143
transcript.whisperx[196].text 那在這幾次的這個救災包括這個整個現場的調度主委有發現到有什麼地方是之前沒有想到然後不足的地方因為委員的確以丹拉斯來講當然是雲嘉南馬太安縣政府在花蓮那都在偏鄉還有台東那比較
transcript.whisperx[197].start 5803.278
transcript.whisperx[197].end 5829.434
transcript.whisperx[197].text 這個東部或南部的偏鄉比方說房屋我沒有去看不知道有那麼多的老舊的房子是沒有那麼無法想像有那麼多老舊房子所以碰到一次大風吹掉那麼多而且很多弱勢這表示說的確我們的公共建設交通或什麼的確要講究均衡就是賴總統一直強調的均衡台灣所以我們才發現是
transcript.whisperx[198].start 5830.715
transcript.whisperx[198].end 5854.212
transcript.whisperx[198].text 是這樣另外就是公共建設 比方說水利治水或者是一些堤防的確有很多我們推動了治水計畫那麼多年了但是有些地方的確是還沒有去做到的地方政府還沒有提出或提出但是經費不夠還沒有安排到的
transcript.whisperx[199].start 5854.972
transcript.whisperx[199].end 5873.558
transcript.whisperx[199].text 要做的的確有很多要做比方說花蓮的馬太安溪都知道馬太安溪河床很高光復性這邊很低但是你要那麼那麼量那麼多的沙子要紓進也要花很多時間提防要改善那這是這些災難是看到這個地方
transcript.whisperx[200].start 5874.858
transcript.whisperx[200].end 5892.187
transcript.whisperx[200].text 沒有發生災難的應該有還有比方說前天的蘇澳那就是一個相關最容易淹水的地方下大雨所以要即刻來解決我是覺得我們台灣過去公共建設已經做得不錯了
transcript.whisperx[201].start 5892.927
transcript.whisperx[201].end 5907.758
transcript.whisperx[201].text 但是仍然要加把勁把那些未完成的比較偏鄉或者是比較沒有做到的地方來加強不管是區域排不管是河川治理等等都需要投入很大的人力物力跟經費
transcript.whisperx[202].start 5909.133
transcript.whisperx[202].end 5934.425
transcript.whisperx[202].text 是 那這個剛剛主委所講的就是說這個是未來我們需要再加強的一個建設的一個部分那當然我們也看到就是說在這幾次的一個重大的災情一開始我們也看到就是說在0708的這個雲嘉蘭的這個淹水災情的時候我們也看到因為剛開始就是這個電線桿倒了非常的多造成這個電力的這個就是
transcript.whisperx[203].start 5935.345
transcript.whisperx[203].end 5962.51
transcript.whisperx[203].text 就是沒有這個電力的供應還有包括斷訊等等就是造成了資訊的一個混亂的狀況那在花園部分我們也看到就是說這麼嚴重的一個淤泥的水災淹後就是水災過後的這個淤泥的淤積問題非常的嚴重那我們也要感謝這麼多的產值超人還有包括這個志工就是可以說自動自發的去到災區來協助這個救災
transcript.whisperx[204].start 5965.33
transcript.whisperx[204].end 5983.195
transcript.whisperx[204].text 好的工作那可是也看到了就是說一開始也沒有一個很統一的一個調度就是說人力調度或資源的分配調度等等我想這些應該都是我們在未來就是說如果再遭遇到這個災害的時候我們應該要去思考怎樣做好
transcript.whisperx[205].start 5983.995
transcript.whisperx[205].end 6004.089
transcript.whisperx[205].text 應有的一個應變當然我們不希望有這個災情的發生可是就是說人家說天有不測風雲我們也不知道什麼時候會再有這樣子天然災害的一個發生所以我們應該就是說藉由這幾次的一個災害的一個就是到現場的一個救災跟發現不足的地方
transcript.whisperx[206].start 6004.549
transcript.whisperx[206].end 6033.418
transcript.whisperx[206].text 我們應該要建立一個SOP的一個救災程序因為我們看到卓院長在10月9號的時候在聽取馬太安溪煙澀湖災後復原情形的報告時候他也有就是明確的來指示就是說未來應該要建立一個更強化更完整的標準作業程序形成更加的團隊合作模式所以就這部分我不曉得說我們工程會有沒有開始就是去
transcript.whisperx[207].start 6034.358
transcript.whisperx[207].end 6050.374
transcript.whisperx[207].text 朝這個方向去建立一個SOP謝謝委員工程會本來扮演的就是災後復原跟重建但是有時候也已經是災害當中那搶災防災有時候也會也會參與那我們會累積這幾次的
transcript.whisperx[208].start 6054.819
transcript.whisperx[208].end 6072.497
transcript.whisperx[208].text 這個防災跟這個災後重建的經驗齁那麼能夠把它整理出來那將來看看透過什麼方式由各單位來參佐比方說剛才所提到的每天光復車站兩三萬人到那邊他有時候他不知道要去做什麼所以你要給他工作所以
transcript.whisperx[209].start 6073.118
transcript.whisperx[209].end 6101.53
transcript.whisperx[209].text 所以那個分配就變很重要那直接在火車站那一出火車站大門就分就很多的攤位馬上按照區域來分配或者是說某些區可能區域的劃分要很清楚各種方式都讓我們學習了一些經驗包括相關的比方說這些廢棄物泥沙的去化他未必是要去化他可以用於重建
transcript.whisperx[210].start 6102.29
transcript.whisperx[210].end 6126.92
transcript.whisperx[210].text 比方說現在泥沙廢墟那麼多可是將來堤防還要做啊還要做安置宅啊就是收容的那這些都可以用所以應該部跟部會之間也要協調比方說經濟部跟環境部跟農會部跟內政部那有些不見得馬上要再走會把它區劃掉可以當作未來重建使用這個都是我們一步一步主委應該是可以統籌的
transcript.whisperx[211].start 6128.58
transcript.whisperx[211].end 6143.948
transcript.whisperx[211].text 因為我有擔任這個馬太安溪的請請給一個匯報的執行秘書所以我們會協調各部會在執行預算的時候先考慮到是不是其他部會還有用的東西
transcript.whisperx[212].start 6144.548
transcript.whisperx[212].end 6163.048
transcript.whisperx[212].text 是好那本期在這邊就是希望說我們工程會可以經由這幾次這個災害救災的一個經驗那思考未來如何提升跟強化政府在面對天然災害的時候的一個反應跟韌性讓在這個救災復原上都能夠更及時更精準
transcript.whisperx[213].start 6163.889
transcript.whisperx[213].end 6185.349
transcript.whisperx[213].text 好那接下來我再請教一個問題就是說因為我們知道現在目前國內的這個產業因為面臨的這個匯率的問題以及美國這個對等關稅的一個問題所以也讓本土的一個製造產業面臨很大的一個困境那在去年就有一個新聞就是說公共工程中大公共工程不愛國貨所以國內鋼鐵廠
transcript.whisperx[214].start 6188.231
transcript.whisperx[214].end 6212.961
transcript.whisperx[214].text 這個教庫所以在這邊本席是不是請教主委就是說我們是不是可以就是說經由政府鼓勵這個公共工程優先採購國產的這個製品然後來就是擴大內需來提升我們就是讓這個產業的一個競爭力跟生存這樣子負責採購法的陳副主委跟你詳細說明
transcript.whisperx[215].start 6216.966
transcript.whisperx[215].end 6240.678
transcript.whisperx[215].text 我也好 謝謝委員的提問我想怎麼樣透過政府採購協助國內產業的進行我想這是政府的一貫的政策我們一定會來配合但是因為政府採購受限於我們參加GPA所以它有一個架構性的問題就是說假設這個採購案本身必須適用條約的話
transcript.whisperx[216].start 6242.819
transcript.whisperx[216].end 6265.064
transcript.whisperx[216].text 那不能排除其他成員國的除非有涉及到國安的部分那非條約的採購案我們有比較大的自主性我們可以排除外商的參加那目前工程會是依照產業北來做不同的檢討譬如說在無人機的採購
transcript.whisperx[217].start 6266.064
transcript.whisperx[217].end 6294.421
transcript.whisperx[217].text 那我們就會把這個因為無人機採購裡面有涉及到歸本國有辦法生產的那有辦法生產的我們當然優先採用本國所以我們會依照產業來檢討啦我覺得這部分非常的重要啦就是說當然我們不一定有強制性可是我們希望就是說是不是可以利用什麼樣的一個條件盡量可以讓我們公共工程在採購上可以來支持我們本土的製造產業
transcript.whisperx[218].start 6299.138
transcript.whisperx[218].end 6316.355
transcript.whisperx[218].text OK 好 謝謝好 謝謝陳樹越委員發言完畢在這邊也跟吳立華委員報告我們剛才就已經有宣告在何欣淳委員發言完畢之後會休息15分鐘不好意思來 請何欣淳委員發言
transcript.whisperx[219].start 6323.001
transcript.whisperx[219].end 6330.406
transcript.whisperx[219].text 好謝謝主席我們是不是請這個陳主委也是我們政委請陳主委政委好主委好剛剛數位委員希望能夠呢重大公共工程可以優先採購這個國產的這個
transcript.whisperx[220].start 6344.386
transcript.whisperx[220].end 6364.802
transcript.whisperx[220].text 建材也好 鋼鐵也好 等等因為我提一個例子像我們農業部的林務署他們跟教育部有一個合作計畫教育部他針對全國的各國中小的一個課桌椅的一個更新工程他有下了一個可以優先採購國產林木
transcript.whisperx[221].start 6369.417
transcript.whisperx[221].end 6391.665
transcript.whisperx[221].text 這個東西是一個雖然不是強迫性也不是強制性但是一個鼓勵跟希望能夠讓國內的產業可以有好的循環這個部分我覺得可以提供給公共工程委員會可以作為思考的方向接著我今天要質詢的是有關我一直以來在講的公共工程減碳的問題
transcript.whisperx[222].start 6394.447
transcript.whisperx[222].end 6410.32
transcript.whisperx[222].text 我想主委、政委應該也都會非常的支持為了要降低這個環境影響還有的推動永續我想檢探從公共工程開始政委、主委也一直都很支持
transcript.whisperx[223].start 6410.86
transcript.whisperx[223].end 6432.094
transcript.whisperx[223].text 所以我在去年的5月29號要求建立碳排係數的資料庫還有擴大承辦人員基層人員的賠利還有儘速提出減碳的指引還有修正契約範本我在去年的9月30號也再一次的來要求希望工程會跟環境部合作
transcript.whisperx[224].start 6433.075
transcript.whisperx[224].end 6452.792
transcript.whisperx[224].text 建立的這個明確的一個減碳的一個指引那我很高興的在今天的這個業務報告裡面有看到這三件事情第一個這個我們在水利水保建築下水道等四份指引已經公布那請問一下公路國道軌道今年可以如期來完成嗎好來請副主任委員
transcript.whisperx[225].start 6459.5
transcript.whisperx[225].end 6480.683
transcript.whisperx[225].text 跟委員報告那我們本來從委員開始在詢問的時候我們一般設計指引大概只有兩部那現在我們已經努力各部會努力之下已經有四部那剛剛委員關心的這些公路軌道這些在年底前也有可以完成那除此之外再跟委員報告因為有一些機關其實也都在響應這件事情所以他原本不在我們設定那七個
transcript.whisperx[226].start 6481.684
transcript.whisperx[226].end 6498.15
transcript.whisperx[226].text 七個類別的設計師 他們會再增加所以像電力設施啦 或者是煉油廠這些等等其實他們也都陸陸續續在做進行這個努力好 那副主委是不是會後可以給我一份完整的告訴我說哪些部會好 這四個部會已經有了
transcript.whisperx[227].start 6498.53
transcript.whisperx[227].end 6511.682
transcript.whisperx[227].text 那哪些部會是年底那又有哪些正在研議當中擬定當中好不好我們希望有一個時程配合國家的政策這也是世界大家希望推動這個淨領碳排的一個目標前進那要前進就必須要有時間要有時程
transcript.whisperx[228].start 6515.706
transcript.whisperx[228].end 6532.9
transcript.whisperx[228].text 第二個擴大這個承辦的這個公務人員在第一線上針對這個減碳教育的訓練還有呢賠利強化他們的能力這個部分我也很高興看到在今天業務報告裡面有但是我希望執行面是不是會後也給我一個執行面
transcript.whisperx[229].start 6533.54
transcript.whisperx[229].end 6558.343
transcript.whisperx[229].text 跟各地方政府的一個溝通協調如何落實第三個修正這個契約範本同樣也是一樣要求這個廠商在設計的時候包括未來施工都能夠落實節能減碳那這樣子的一個契約範本各個地方政府也配合我們公共工程委員會的這樣子的一個要求已經都修正了嗎都完成了嗎來誰可以回答
transcript.whisperx[230].start 6563.132
transcript.whisperx[230].end 6583.961
transcript.whisperx[230].text 報告委員喔 那這個契約範本我們是草案已經完成了那我們預計在年底發布給各機關來使用那透過契約範本來引導設計廠商呢朝著我們減碳的目標來前進 以上報告所以各地方政府在你年底的這個範本公布了之後 給他們之後我認為還是要後面要
transcript.whisperx[231].start 6584.801
transcript.whisperx[231].end 6601.602
transcript.whisperx[231].text 跟進各地方政府的執行進度到底對於這個契約範本有沒有修正我覺得是中央跟地方政府大家一起努力我跟委員補充說明就是這個契約範本目前大概相關機關他也可以採取說這是參考
transcript.whisperx[232].start 6602.443
transcript.whisperx[232].end 6627.785
transcript.whisperx[232].text 所以我們要把它改成剛性的企業換本那這一次我們政府採購法修正草案已經預告中將來會改成剛性的那如果採購法獲得大院的支持通過之後我們將來企業換本包括減少這個溫室氣體排放那如何減少或怎麼樣放在企業換本裡面就有拘束力那拘束力到所有的採購機關他必須按照這個企業換本來訂定他的採購企業
transcript.whisperx[233].start 6628.855
transcript.whisperx[233].end 6645.984
transcript.whisperx[233].text 是所以我也再回過來再請主委要再去要求我們剛剛我一直要求的這個減碳的資料庫的建立跟認證我覺得這個資料庫的一個係數的建立跟認證如果有一個
transcript.whisperx[234].start 6646.804
transcript.whisperx[234].end 6675.392
transcript.whisperx[234].text 大家可依循的這樣子的一個大水庫可以來查詢會更容易讓我們的這一個所謂的契約範本修訂了之後如何讓廠商可以參考能夠的減少溫室氣體的排放在整個工程不管是設計規劃到未來的工法施工過程等等我覺得這個都是必須要環環相扣也請我們公共工程委員會大家努力好不好接下來我就要問
transcript.whisperx[235].start 6676.613
transcript.whisperx[235].end 6685.643
transcript.whisperx[235].text 主委喔我上次非洲豬瘟在台中爆發個案我們都很疑案也很覺得地方政府處理很爛喔那問題是呢
transcript.whisperx[236].start 6688.7
transcript.whisperx[236].end 6715.028
transcript.whisperx[236].text 我想要問主委的一件事有沒有看到這一個新聞這一個新聞雖然是所謂的台中市政府在我們要求中央要求中央是誰要求環境部環境部要求那個廚餘坑的一個防護措施要做到標準的SOP這個主委會說這跟我沒關係但是我要說的是什麼在有一件事情是跟我們公共工程有關係
transcript.whisperx[237].start 6716.989
transcript.whisperx[237].end 6734.307
transcript.whisperx[237].text 當時候在中央環境部要求他必須要按照標準流程做防腐的這個復土那台中市的市政府的建設局養工處呢緊急調派他把台中市的各個這個工區的這個包商的要求他們再土進去
transcript.whisperx[238].start 6734.947
transcript.whisperx[238].end 6739.032
transcript.whisperx[238].text 這個各個廚藝坑去復土結果呢包商再來的土呢不能用因為有酒桃有土崗那完全不能用不是我們認定的這個土房乾淨的土所以不能復土那好我現在就問喔
transcript.whisperx[239].start 6752.182
transcript.whisperx[239].end 6765.24
transcript.whisperx[239].text 公共工程的相關的土石方跟廢棄物到底哪裡去我曾經就這個問題來問一下我們公共工程委員會的這個承辦或者是我們所得知到的訊息是說這是環境不慣
transcript.whisperx[240].start 6767.663
transcript.whisperx[240].end 6788.719
transcript.whisperx[240].text 但是環境部說土石方是內政部管的廢棄物是我管的沒錯但是我又衍生出一個問題是在於我從環境部裡面的資料裡面公共工程的廢棄物我們要如何減量為什麼因為全國的營建廢棄物的產生量是不斷的在上升
transcript.whisperx[241].start 6789.58
transcript.whisperx[241].end 6800.886
transcript.whisperx[241].text 而我們現在的所有的這相關的營建工程的廢機物的處理方式就兩種一個呢也許可以回收再利用要分類一個呢當然就是燒掉那這個當然中間是所謂的這個清運業者
transcript.whisperx[242].start 6805.208
transcript.whisperx[242].end 6833.181
transcript.whisperx[242].text 來協助處理親業者的這個管理當然是在環境部但是我要講的是我們公共工程委員會是可以從源頭我們既然要邁向淨零碳排我們要求要減碳那我們的廢棄物要保護我們的地球保護台灣這一塊土地我們公共工程委員會又可以如何從源頭來讓這個相關的工程廢棄物可以減量所以我幫你釐清了 政委你覺得可以怎麼做
transcript.whisperx[243].start 6835.229
transcript.whisperx[243].end 6853.335
transcript.whisperx[243].text 內政部有一個營建剩餘土石房的管理計畫這管理計畫在你一定修正的時候公共委員會有參與我們的想法是在限地公共城或者是營建營造業蓋房子限地就要分類了
transcript.whisperx[244].start 6854.355
transcript.whisperx[244].end 6872.089
transcript.whisperx[244].text 就是可燃的廢棄物跟土石要分開然後這些土石可以到土資廠或者是區域化或者在利用場那時候廢棄物就比較少了這個廢棄物當地的清潔隊就可以到混合爐去燃燒掉這樣量就很減少
transcript.whisperx[245].start 6872.569
transcript.whisperx[245].end 6892.512
transcript.whisperx[245].text 另外第二概念就是任何東西都可以再利用這些土方也不是什麼化學的廢棄物他有時候可以用來他去做一些高壓磚或者是有些地化地區可以填這個或者是甚至填海造地台灣那麼小我們仿造其他國家填海造地比方說台北港
transcript.whisperx[246].start 6893.653
transcript.whisperx[246].end 6914.118
transcript.whisperx[246].text 以後其他協和電廠那都是要填海這是可以填的那我說比較乾淨的剩餘土石應該正視它的再利用價值而不是認為它就是廢棄物你一定要去掩埋那掩埋也是同一件事情所以我們認為內政部這個管理
transcript.whisperx[247].start 6914.938
transcript.whisperx[247].end 6939.189
transcript.whisperx[247].text 有一些GPS的管理啦但是最重要還是縣市政府他將來在發使用執照或建造的時候這個廠商就要提一個怎麼去化怎麼管理的計畫那個計畫核准之後才能動工然後你拿使用執照的時候來看你有沒有按照計畫執行如果按照計畫執行那這個死照核化沒有問題這個都是整個在內政部委的一個管理計畫當中
transcript.whisperx[248].start 6940.196
transcript.whisperx[248].end 6969.255
transcript.whisperx[248].text 好 那雖然是內政部的管理計畫當中但是呢 其中公共工程的部分我是希望我們公共工程委員會也要針對這樣子的一個公共工程的廢棄物的去化還有它的總量管制還有它的循環再生 再利用我覺得這個也是我們的一個未來的一個很重要的一個重點拜託主委 好不好 好 謝謝好 謝謝謝謝何慶春委員 發言完畢現在休息15分鐘
transcript.whisperx[249].start 7001.971
transcript.whisperx[249].end 7003.312
transcript.whisperx[249].text 謝謝大家
transcript.whisperx[250].start 7033.712
transcript.whisperx[250].end 7040.265
transcript.whisperx[250].text 響鐘
transcript.whisperx[251].start 7482.227
transcript.whisperx[251].end 7487.995
transcript.whisperx[251].text 響鐘
transcript.whisperx[252].start 7736.334
transcript.whisperx[252].end 7740.736
transcript.whisperx[252].text 謝謝吳立華委員跟黃建豪委員現在請吳立華委員發言謝謝主席再次有請陳主委
transcript.whisperx[253].start 7764.558
transcript.whisperx[253].end 7781.391
transcript.whisperx[253].text 委員長主委好我先代替族人就是特別謝謝這一次我們工程會作證整個花蓮的救災行動在這邊表達我們原住民族人的感謝那我今天也是想說來關心一些關於災後的狀況
transcript.whisperx[254].start 7783.572
transcript.whisperx[254].end 7803.946
transcript.whisperx[254].text 莫拉克災後重建條例它在103年的8月廢止廢止之後就沒有法例可以來原用所以在105年9月的時候莫蘭地颱風肆虐台東那一帶受創非常的嚴重那個時候就特別的感謝工程會出來主責
transcript.whisperx[255].start 7806.247
transcript.whisperx[255].end 7834.582
transcript.whisperx[255].text 邀請原民會、內政部還是為鹽坪鄉的紅葉村做了永久屋還有台東大武鄉的愛國浦永久屋那麼原民會也在那次就是去做了一個簽件指引那其中也為了這個兩岸有成立一個災後復原重建專案平台的會議那這一次是繼我們莫拉克災後重建條例之後
transcript.whisperx[256].start 7835.763
transcript.whisperx[256].end 7852.879
transcript.whisperx[256].text 第二次出現就是丹納斯颱風及728的一個特別條例那現在又有一個花蓮馬太安西煙色湖的災後重建特別條例主管機關的依然都是工程會可是在這個當中我先說明就是因為
transcript.whisperx[257].start 7853.88
transcript.whisperx[257].end 7876.501
transcript.whisperx[257].text 提出花蓮馬太安西煙澀湖的災後重建條例就是國民黨版有出現在莫拉克災後重建條例中關於那個遷建的那個條例是一字不抄一模一樣的搬過來那當年受到很大的爭議還好在協商的過程中已經有把那個拿掉
transcript.whisperx[258].start 7877.342
transcript.whisperx[258].end 7905.258
transcript.whisperx[258].text 那其實最主要的就是說我們要尊重在地人的意願而不是強硬的用法條就決定部落要怎麼走因為原住民其實幾十年來從日據時代都經歷過兩到三次、四次甚至有五次的遷村所以原住民對於這樣的一個遷村其實是非常恐懼的那但是我也得說
transcript.whisperx[259].start 7906.559
transcript.whisperx[259].end 7923.102
transcript.whisperx[259].text 因為我們這幾年就是在莫拉克在後重建條例廢止之後有一些部分其實陸陸續續我們也看到他們是處在危險的安全堪育地區像是我接受的陳情像高雄的萬山部落
transcript.whisperx[260].start 7923.903
transcript.whisperx[260].end 7941.953
transcript.whisperx[260].text 有一些住戶他是位在斷崖所以每一年的颱風整個村撤離的時候其實那些住在斷崖的那些住戶都非常的緊張甚至提出說難道政府不會幫我們著想嗎或者是像滿洲有一個分水嶺當年說要簽
transcript.whisperx[261].start 7943.914
transcript.whisperx[261].end 7958.254
transcript.whisperx[261].text 我們到現在還在為尋找土地感到煩惱因為我們也沒有條例法源可以來用所以找土地就變得非常的緩慢那像市文部落是在春日鄉的最高處
transcript.whisperx[262].start 7959.375
transcript.whisperx[262].end 7977.945
transcript.whisperx[262].text 那當年我也有幫他們去跟國防部協調一個天蠍棚基地那原本是希望把他們遷到那邊來但是因為莫拉克在後重建條例廢止所以呢很多很多的行政作為也很困難那甚至是山地門鄉的德文部落有一些目前都還是在危險勘預地區嚴平鄉的紅葉村也有一些還沒有完成所以我在這邊只是想請教想拜託一下我們的陳主委
transcript.whisperx[263].start 7988.371
transcript.whisperx[263].end 8010.733
transcript.whisperx[263].text 就是有沒有可能再來開設一個原住民族地區災後復原重建的專案平台會議因為從這一次我們北岸的這個萬榮鄉的名利村我們想都想不到那我們就可以想像得到有很多的災害在這種極端氣候之下我們不知道它什麼時候發生
transcript.whisperx[264].start 8011.954
transcript.whisperx[264].end 8019.419
transcript.whisperx[264].text 所以預防我覺得變得相當的重要所以我不曉得說主委您對這個有沒有可以支持的意見謝謝委員 目前關戶鄉的中紀載是由內政部在負責那他也到關戶鄉辦了很多場說明會那聽取這個關戶鄉鄉民包括
transcript.whisperx[265].start 8039.838
transcript.whisperx[265].end 8067.271
transcript.whisperx[265].text 這個當地的部落還有這個相關的這個災民那麼有找到兩個地方一個是舊的台塘的宿舍那個宿舍是應該是三層樓但是底下它是有營業但是上面也本來是員工宿舍大概應該有差不多20戶左右另外也是在應該是大晉國小附近有一塊地大概1.5公頃
transcript.whisperx[266].start 8068.231
transcript.whisperx[266].end 8089.699
transcript.whisperx[266].text 那會蓋這個中繼宅讓目前房子已經完全沒辦法住的買起來的那些作為中繼宅那至於說將來那個耕地比較重災區那裡土砂啦有的已經到6米高4米高了那些變成一個很頭痛的問題
transcript.whisperx[267].start 8091.159
transcript.whisperx[267].end 8100.007
transcript.whisperx[267].text 所以是不是要有什麼地方可以提供給族人或當地災民作為異地耕種的地方這個是可以思考的方式我覺得這個部分中繼宅目前已經成為共識了也取得政府的一個共識
transcript.whisperx[268].start 8110.396
transcript.whisperx[268].end 8134.664
transcript.whisperx[268].text 那我想就是尊重在地人的意見那我只是說針對那一些在莫拉克災禍重建條例廢止之後依然處在危險安全抗議地區的我們是不是可以請工程會來主責要做一個災害復原重建的一個平台會議邀請這些原鄉的公所還有我們中央有關的機關一起來重啟這個會議來幫助他們 可以嗎
transcript.whisperx[269].start 8140.895
transcript.whisperx[269].end 8145.761
transcript.whisperx[269].text 主委現在秀出來這些包括高雄茂林高雄屏東台東都有這些我們還沒有處理好我們願意來跟高雄還有屏東縣市台東屏東縣市政府來商討看看
transcript.whisperx[270].start 8158.454
transcript.whisperx[270].end 8181.366
transcript.whisperx[270].text 那不好意思主席再給我一分鐘因為我還有第二個問題要請教這一次我其實只是要表達就是我們這一次有兩個條例特別條例那他到底他適合的適用的這些災區我不曉得有哪些啦那主委您是不是可以簡單的講一下
transcript.whisperx[271].start 8182.591
transcript.whisperx[271].end 8206.979
transcript.whisperx[271].text 那是風災的特別條例有把直轄市直轄市的園民鄉園民就是茂林、南麻寨、桃園那個有納入我是希望說如果他是屬於原住民族地區但是沒有被行政院列為災區我希望工程會也盡力協助好嗎
transcript.whisperx[272].start 8208.369
transcript.whisperx[272].end 8221.247
transcript.whisperx[272].text 跟原民會來討論 923這個花蓮馬太安菸澀湖溢流事件其實當天9月23在地的萬榮鄉族人就有跟我說
transcript.whisperx[273].start 8222.711
transcript.whisperx[273].end 8250.881
transcript.whisperx[273].text 麻煩也請我們的水利署把我們萬榮鄉這邊北岸的戶體加高所以我9月24號我就有發公文我特別有去提到說請貴署盡速強化萬榮鄉境內堤防結構同時增設臨時防災設施如太空包防汛塊提升防洪減災能力保障萬榮鄉的部落安全但是很遺憾就是這個破口就是終究還是釀災了
transcript.whisperx[274].start 8252.702
transcript.whisperx[274].end 8277.023
transcript.whisperx[274].text 那其實復興區高雄的復興區本來我接受村長的陳情這個也是一個破口他一直拜託我說委員你可不可以拜託河川署趕快幫我們做一個護岸三個月內完成很高興終於保全了那個第30的十幾個住戶這個是在哪一個鄉 高雄的桃園區復興裡
transcript.whisperx[275].start 8278.965
transcript.whisperx[275].end 8298.966
transcript.whisperx[275].text 好 那我現在要講的是說我們其實跑地方 我們什麼都有接觸我一直強調 現在的河川 在莫拉克之後真的啦 坑溝已經變野溪 野溪已經變河川了啦所以 林保署下來 水保署下來 水利署
transcript.whisperx[276].start 8299.949
transcript.whisperx[276].end 8323.796
transcript.whisperx[276].text 真的需要好好的來重新做一個治水專案會議編足經費因為我們是什麼案都接什麼部會都接觸我們真的可以感受到有一些他們真的沒有能力所以呢我覺得極端氣候影響下誰曉得當年玉穗溪氣象說25毫米的雨量竟然讓明霸克路橋斷掉
transcript.whisperx[277].start 8325.536
transcript.whisperx[277].end 8353.494
transcript.whisperx[277].text 極端氣候下我們真的不知道災害在什麼地點什麼時候會發生所以我覺得當我們去陳情按揭來去請我們的部會幫忙的時候我特別希望這一方面的一個治理經費是充足的不曉得主委您的意見如何因為馬太安溪是這個河床已經很高了再加上這次把這個堰舍湖的
transcript.whisperx[278].start 8357.586
transcript.whisperx[278].end 8384.12
transcript.whisperx[278].text 這個疫流的災害它上游的土石已經很多都下來都已經比堤防高了所以目前所要的工作是輸菌因為只要一點雨量它就會易開了所以要加緊輸菌才是最重要的工作謝謝主委 因為時間的關係我們還有沒有討論完的再提供我書面報告或者是到辦公室來討論好 謝謝主委 謝謝主席
transcript.whisperx[279].start 8385.441
transcript.whisperx[279].end 8404.711
transcript.whisperx[279].text 謝謝吳立華委員發言完畢現在請黃建豪委員發言好謝謝主席主席一樣我們要請這個工程會陳主委請陳主委
transcript.whisperx[280].start 8412.231
transcript.whisperx[280].end 8437.539
transcript.whisperx[280].text 委員長 主委早 主委這個前幾天我想我們工程會有修正一個採購評選委員會的評分標準那這裡面包含的說採購加分項目包含這個依照丹納斯颱風及728豪雨災後復原工作的廠商來依照貢獻程度來採購加分那我也跟你們調閱了一下有參與到這個所謂728跟這個丹納斯颱風的災後復原工作的廠商的名單 其實
transcript.whisperx[281].start 8439.099
transcript.whisperx[281].end 8463.203
transcript.whisperx[281].text 都非常有名都非常大間非常多廠商跟企業參與包含說慈濟也有參與那現在正在這個風口浪尖上的黃昌營造他也有參與那還有很多的公司都有參與那我要問的是說今天把這個丹大士颱風列入所謂加分項目那未來其他的災後復原工作參與的廠商要不要也加入以及包含說像那個後來這個馬太安西岡菸澀湖的問題
transcript.whisperx[282].start 8467.54
transcript.whisperx[282].end 8491.013
transcript.whisperx[282].text 我看到這個廠商名單裡面有很多據我知道的也很多也參與了那個這個花蓮的災後重建的工作他們也捐了非常多的積蓄到現場去救助等等的所以我要問的主委意思是說今天特別把這個丹拉斯颱風728豪雨的災後復原工作列入加分項目那未來參與其他政府相關災後復原工作的廠商會不會列入這個加分項目
transcript.whisperx[283].start 8492.263
transcript.whisperx[283].end 8515.018
transcript.whisperx[283].text 報告因為當初這個嘉南這邊房屋受損的數量很多總數大概6萬那真正需要去修繕的也很多所以一時之間找不到那麼多廠商來做所以才工程會協調中央很多部會每個部會他們都有很多公務工程在做所以請這些廠商
transcript.whisperx[284].start 8515.979
transcript.whisperx[284].end 8537.886
transcript.whisperx[284].text 集合起來分配到各區包括嘉義縣應該有8個鄉鎮台南市有17個區分配下去有的是做事者他們免費幫他做那有的是透過攤市政府來媒合來媒合所以收入錢也比較少那因為他們停下來
transcript.whisperx[285].start 8538.806
transcript.whisperx[285].end 8563.862
transcript.whisperx[285].text 本身的工作所以我們才說他這個有盡到一定的企業社會的責任那原本我們的評選辦法裡面針對企業社會責任就要考量了啦所以特別針對這290家那麼頒給這個感謝狀那將來他在參與公共工程投標如果是評選的時候就給他加分數未來如果類似情形工程會省長會這麼做
transcript.whisperx[286].start 8565.823
transcript.whisperx[286].end 8592.158
transcript.whisperx[286].text 未來如果類似他透過我們一定的程序來招募來協助那麼而且來評選那我們也會這樣做因為我具體來講就是包含今年光是這兩一個就是丹納斯很嚴重嘛再來就是我們那個馬太安溪那個驗生壺事件後也很多的廠商投入機具我只是說要當然要放入CSR標準這都沒有問題我沒有意見我覺得很好那問說什麼樣的事件跟什麼樣的標準
transcript.whisperx[287].start 8594.529
transcript.whisperx[287].end 8614.898
transcript.whisperx[287].text 參與救難的廠商救災廠商或復原工作廠商他們能夠因為這樣子被加分我覺得這是一個標準啦我覺得這個是工程會議要講清楚的因為丹納斯的時候因為都有跟個別部會的部會跟廠商之間都有聯繫而且很明確有簽約有簽約所以這樣去做這個
transcript.whisperx[288].start 8617.468
transcript.whisperx[288].end 8644.872
transcript.whisperx[288].text 感謝然後加分是都很清楚那馬太安基運社會因為是因為狀況因為受災很嚴重所以各地都進去大小廠商都進去因為那種個人戶企業社甚至很大的廠商也有都進去這部分我們可能要研究一下因為當時沒有很確定說哪一個廠商做什麼事情說哪幾天並沒有只是很感謝那麼多廠商進駐還有很多各縣市政府
transcript.whisperx[289].start 8645.532
transcript.whisperx[289].end 8664.626
transcript.whisperx[289].text 各縣市的環保局的清潔隊也都進去我們看很多現場是很多所以這部分我們在研究我的意思是說如果類似將來還要到動員廠商放下工作去做我們特別指定的工作的話那我們會比照這一次來考慮加分的方式
transcript.whisperx[290].start 8665.126
transcript.whisperx[290].end 8682.875
transcript.whisperx[290].text 好 主委謝謝 因為我今天會特別提這也是因為在這個290之間廠商裡面當然他們除了去幫助過丹納斯颱風之外也有很多廠商也跟我反映他們其實一樣的名單裡面他們也重複的在這個提供重大機具投入到這個花蓮的這個問題裡面 所以他們覺得說如果
transcript.whisperx[291].start 8683.815
transcript.whisperx[291].end 8696.08
transcript.whisperx[291].text 當然那颱風這樣子的一個狀況因為它的確是台灣百年來的颱風造成這麼大的損害馬太安溪這個驗射物也是我們以前沒有預想過會發生這樣的事情所以大家的確出錢出力了這麼多企業投入那如果這些
transcript.whisperx[292].start 8697.629
transcript.whisperx[292].end 8713.914
transcript.whisperx[292].text 對他們來講既然談到裁縫可以加分那如果去投入花蓮的這部分也可以加分或是未來萬一不幸又有其他事件可以加分那我覺得這個標準大家希望說能夠有一個比較明確的方向依據大家可以更樂意的去幫政府去處理這種宅要復原工作
transcript.whisperx[293].start 8715.895
transcript.whisperx[293].end 8739.772
transcript.whisperx[293].text 再來我看一下我們原物量上漲問題我想大家都很關心這個問題其實台灣這幾年公共工程的流費標的情況也非常嚴重包含說比較重點當然是我們交通部跟經濟部幾項到底這種超過流費標三次然後漲標五次以上的絕標的案件未來到底我們工程會要怎麼樣面對或是說我們這跟各部會溝通的時候預算上有問題還是說因為預算執行期程拉太長
transcript.whisperx[294].start 8740.572
transcript.whisperx[294].end 8756.036
transcript.whisperx[294].text 所以一開始設定的金額是這樣子那後面因為物價上漲所以他必須去面對要不斷的追加不斷追加包含我們剛剛提到的台北台中都有高雄的捷運台中捷運都是類似的問題所以不知道工程會在這種預算的節制上或管制上有沒有什麼樣的想法副主委來跟你說
transcript.whisperx[295].start 8760.863
transcript.whisperx[295].end 8784.708
transcript.whisperx[295].text 我想有關公共城廢標流標的確實是一個很嚴肅的問題當然工程會有做系統性的分析大概牽涉到經費不足或者是合約條款不合理、工期太少大致上都是這些問題
transcript.whisperx[296].start 8785.908
transcript.whisperx[296].end 8814.513
transcript.whisperx[296].text 目前我們協助的這個模式基本上面就是說如果比較簡易的當然就有各個他的主管機關自己去處理嘛那如果他的這個金額超過五千萬那麼留標兩次那原則上我們就從這案子裡面那我們會個案來協助所以目前我們會把我們個案協助裡面再發現的問題再回饋給其他的機關大概是透過這樣一個循環的方式來處理那當然
transcript.whisperx[297].start 8815.913
transcript.whisperx[297].end 8829.078
transcript.whisperx[297].text 這個會友辦問題當然也有牽涉到整個因為我們政府採購要必須要三家才能開標的問題所以我們系統性的來處理來副主委跟主委我也一樣就是說其實這個問題我希望公司會積極一點的角色就是說我覺得
transcript.whisperx[298].start 8830.253
transcript.whisperx[298].end 8853.252
transcript.whisperx[298].text 我們光列這幾項最大問題是什麼就是它的工作期程很長就是我們公共工程都拖很久10年20年至少都這樣很多大型工程都這樣所以10年前的物價跟10年後的物價當然不能比它當然後續不斷在追加所以我希望工程會至少在扮演的管控的角度上至少讓它各單位能夠把這個期程縮短一點不要說每次
transcript.whisperx[299].start 8854.394
transcript.whisperx[299].end 8861.047
transcript.whisperx[299].text 蓋個捷運 蓋個什麼東西都要蓋好久好久那當然你錢就一直不斷增加嘛永樂基會縮短各單位在做事情的這個時效
transcript.whisperx[300].start 8862.926
transcript.whisperx[300].end 8886.794
transcript.whisperx[300].text 這個也是委員點到非常核心的問題就是說我們事後去處理一些禮約爭議大概最核心的問題是工期的問題那工期機關當時在定工期的時候有的時候他因為很多因素嘛他可能政策的問題或是未定的問題那很多是因為他施工過程裡面要變更
transcript.whisperx[301].start 8887.934
transcript.whisperx[301].end 8906.573
transcript.whisperx[301].text 或加上其他的很多因素所以供期就變成是一個非常嚴肅的問題所以我們也會透過一個在指引的方式就是說你當時在這個設計的時候那個供期的那個訂定要非常的準確那就可以減免後面的一個相關的爭議了
transcript.whisperx[302].start 8907.133
transcript.whisperx[302].end 8928.039
transcript.whisperx[302].text 好啦最後剛剛那個富水你也提到這個所謂的三家廠商開票的規定喔之前我們工程會本來是預計想要把這個三家的規定把它刪掉然後提出新的採購法那本來是預計要4月要預告草案那我不知道現在這個草案到哪裡了已經預告了為什麼會議記錄不能提供給我們來參考咧
transcript.whisperx[303].start 8930.855
transcript.whisperx[303].end 8955.83
transcript.whisperx[303].text 這個我們有跟本席有 我們9月10號有去含有去跟公眾要資料 說辦公座談會我們11月才預告 最近才預告因為有修正 然後也要簽到行政院來通報然後預告 所以11月才預告好 我們希望這個快一點啦因為這個當初4月希望預告嘛現在又過了半年 到現在才開始有這個相關的進度因為確實
transcript.whisperx[304].start 8957.651
transcript.whisperx[304].end 8976.545
transcript.whisperx[304].text 三家的這個問題 我們需要幫 也要幫業者想一個問題 像大家怕圖利嘛我們現在就是怕圖利 所以當時還有所謂三家的問題那既然要把這個東西拿掉 那怎麼樣避免業者陷入圖利的陷阱裡面我覺得這是共產會要做的事情 就是機關如果編列預算的時候就要公告啦
transcript.whisperx[305].start 8978.605
transcript.whisperx[305].end 9002.41
transcript.whisperx[305].text 讓業者盡快知道這個機關有這樣的採購計畫那將來他也要徵詢相關業者的意見讓這個透明公開然後讓業者提早知道準備標期我想就減少這樣的會圖利或者僅限於特定人來標的問題那這個到時候採購法也請委員能夠大力支持好 謝謝 謝謝主委
transcript.whisperx[306].start 9005.043
transcript.whisperx[306].end 9008.827
transcript.whisperx[306].text 謝謝黃建豪委員發言完畢現在請徐護魁委員發言謝謝主席有請我們陳主委請陳主委
transcript.whisperx[307].start 9029.502
transcript.whisperx[307].end 9046.529
transcript.whisperx[307].text 委員好 主委早 主委辛苦因為我在前陣子常常跑台南後面又到花蓮去救災的一個工作很辛苦那昨天這個宜蘭有幾個鄉鎮面臨這個好雨的情形主委有沒有接到通知 還要接完沒有
transcript.whisperx[308].start 9050.482
transcript.whisperx[308].end 9066.471
transcript.whisperx[308].text 我昨天在宜蘭大概有幾個鄉鎮蘇澳東山羅東五結還有西北的篆圍大概比較靠海的地區就是有些災情但是嚴重程度不一
transcript.whisperx[309].start 9068.326
transcript.whisperx[309].end 9094.616
transcript.whisperx[309].text 主委我想這個我從去年一直都有在行政院開會的時候還有包含我們自己委員會都有特別提到我們現在這個極端氣候的一個嚴峻的一個挑戰那尤其我們現在這個好雨還有這個颱風的這個清洗都不可避免但是我們現在在整個這個不管是中央的指揮體系還是地方的一個救災系統我都覺得這個界面上面還是有存在一些問題存在
transcript.whisperx[310].start 9095.376
transcript.whisperx[310].end 9100.411
transcript.whisperx[310].text 阿諸葦自己從台南跟花蓮這個救災裡面有沒有發現什麼樣的問題需要解決
transcript.whisperx[311].start 9102.113
transcript.whisperx[311].end 9129.412
transcript.whisperx[311].text 目前就災害應變中心來講主責的是內政部行政院也有災防辦公室的確面對各式各樣的災害天然災害或者是說一些像化學工廠的大爆炸或者是氣爆之類各式各樣的災害如果說有一個機制
transcript.whisperx[312].start 9130.493
transcript.whisperx[312].end 9148.179
transcript.whisperx[312].text 或機構專責統合各種災害應變或搶災或者是當作這個災害應變中心的一個專責的比較專責的機構啊我想也是可以評估的啦
transcript.whisperx[313].start 9149.27
transcript.whisperx[313].end 9171.511
transcript.whisperx[313].text 主委我因為我自己過去也在屏東縣政府服務過那我們那時候也常常會有一些防災演練當然剛剛主委講的我們這個災害的這個類型都大不相同但是我們是期待從中央到地方應該是緊密合作分工負責把這個災難能夠盡快把它處理掉讓我們的傷亡降到最低我想這是大家共同努力的一個目標
transcript.whisperx[314].start 9174.113
transcript.whisperx[314].end 9182.801
transcript.whisperx[314].text 各式各樣的災害那除了中央會成立應變中心之外基本上就是各式各樣災害縣市政府地方也是
transcript.whisperx[315].start 9184.568
transcript.whisperx[315].end 9210.787
transcript.whisperx[315].text 這個災害應變的指揮官 也是要責無旁貸那個縣長或市長就是指揮官各式各樣的災害只要發生在這個轄區之內他都應該主動來救災來應變這個是我們既有的災害防救法那麼體系是非常清楚主委所以我一直提出說我們應該有沒有考慮要成立一個防災部這個尤其面臨現在複合型的一個災害日趨頻繁部長
transcript.whisperx[316].start 9212.335
transcript.whisperx[316].end 9233.696
transcript.whisperx[316].text 那個主委願意支持這樣的一個想法嗎要重要是大院要支持這個要成立一個部就可能這個原額預算分配啊或者是說部會的的數目啊那個都必須調整這是大事情那當然如果有這樣這個
transcript.whisperx[317].start 9235.327
transcript.whisperx[317].end 9249.735
transcript.whisperx[317].text 防災部是不錯啦我個人是傾向支持啦不過這個是一個必須茶葉政黨能夠協商都同意才有可能這個主委改天有機會我們也一起來努力看看
transcript.whisperx[318].start 9250.896
transcript.whisperx[318].end 9278.508
transcript.whisperx[318].text 主委那另外我想這個剛剛我們也特別提到公共工程流標的一個問題嚴重性那我想我們也檢視了一些去年各單位的一個工程類的一個採購的案件其中廢標兩次以上的比例勞動部有高達30%以上的案件都流標兩次那我們屏東縣政府也有一部分案件都流標那我想這個部分每次在委員會主委也是都會問這個問題主委那目前有沒有比較積極的一個做法
transcript.whisperx[319].start 9280.185
transcript.whisperx[319].end 9308.526
transcript.whisperx[319].text 目前就是我們的政府採購法已經預告會修正會刪除第一次決標的時候要有三家才能夠決的這樣的限制啦那當然也會同時有一些配套措施要求機關讓預算通過之後就必須予以公告那電子採購等等讓他更透明讓所有有興趣的產商更早知道有相關的配套
transcript.whisperx[320].start 9310.13
transcript.whisperx[320].end 9335.391
transcript.whisperx[320].text 其實我們都樂見你們的努力方向但是現在因為我們也碰到我們很多的機關包含這個營建營造廠商大家都很困擾事實上真的整個預算編列上面你們有你們的這個單位有單位的想法但是就業者來講他們工作量現在也很多他們不是不幫忙是真的有些有困難度那這樣一個困境我們要怎麼樣去落實去解決
transcript.whisperx[321].start 9337.078
transcript.whisperx[321].end 9361.001
transcript.whisperx[321].text 副主委也提到就是物價或預算編列那工程會站在一些列管公共工程的基本設計審查的機關那包括費用那現在呢很多公共建設都本身預算裡面就有編的物條那剛才有提到說工期太長那太長那個整個
transcript.whisperx[322].start 9362.321
transcript.whisperx[322].end 9387.372
transcript.whisperx[322].text 物價就會波動更大所以將來我們公共工程會在審查這個基本設計的時候應該也要詳細的看他這個物條的比例跟他的工期是否合理的對應關係如果說工期很長你的物條編得很少那可能我們必須請他應該在在比較合時的來編列這個是
transcript.whisperx[323].start 9388.553
transcript.whisperx[323].end 9405.188
transcript.whisperx[323].text 物價的問題那缺工也是個問題因為我們現在移工申請也不是那麼百分之百都能夠符合業者的需求另外就是三次這個三家以上這部分也是一個問題那我們會盡量來克服
transcript.whisperx[324].start 9408.03
transcript.whisperx[324].end 9424.715
transcript.whisperx[324].text 主委我想我還是要再提醒一個很嚴重的一個問題現在全國這個營建土石那個營建剩餘土石方這個非法棄置甚至到目前為止這個土質廠沒辦法去承受這個問題也造成很多的觀光工程流標不敢標主委有沒有注意到這個問題
transcript.whisperx[325].start 9426.584
transcript.whisperx[325].end 9452.843
transcript.whisperx[325].text 公共工程不敢標 很多建商不敢蓋房子那這一部分我認為營建剩餘土石方或營建廢棄物我剛剛提到在施工現場就要分類了把一些可燃的廢棄物分類出來其他比較乾淨的營建剩餘土方或者是磚瓦這一類這一類都可以再利用他並不是什麼化工廠的有毒的廢棄物
transcript.whisperx[326].start 9454.625
transcript.whisperx[326].end 9472.626
transcript.whisperx[326].text 廢棄物本身都可以再利用所以我們社會上來看這個銀件土方的時候應該不要那麼負面的去看他不是說一定要拋到太空去他一定要有個去處所以比較務實的他應該應用在可以應用在天海
transcript.whisperx[327].start 9474.485
transcript.whisperx[327].end 9498.941
transcript.whisperx[327].text 或者是有些地區本身就空洞了經過縣市政府核定他就可以去填他並不是說會造成土地這個受影響的一些化學的廢棄物所以這部分呢是應該這樣來看待不要說一碰到問題所有人說這個是廢棄物一定要去化或一定要
transcript.whisperx[328].start 9499.801
transcript.whisperx[328].end 9514.451
transcript.whisperx[328].text 拿到哪裡去 本身在當他申請這個建造的時候我們都要求廠商就要提出這個營建廢棄物的去化的計畫審核通過之後才能動工嘛
transcript.whisperx[329].start 9515.131
transcript.whisperx[329].end 9539.696
transcript.whisperx[329].text 等到他蓋好房子要拿使用執照的時候也必須審核他是不是有如實按照這個去化的計畫來進行那同時也監視車輛都有設這個GPS來管制所以我們認為營建土方的問題我們要加強力道來去化不管是再利用還是填海那個都應該
transcript.whisperx[330].start 9541.056
transcript.whisperx[330].end 9562.303
transcript.whisperx[330].text 國人都應該正面來看到看待這個問題因為你工程在進行不可能沒有這些營建剩餘土方或營建剩餘的這些磚瓦的廢棄物主委我想今天我特別提出這個問題就是發現我們目前這個很多坊間的公共工程包含剛主委講的各自的健身都面臨這樣的一個困境
transcript.whisperx[331].start 9563.143
transcript.whisperx[331].end 9585.959
transcript.whisperx[331].text 那我們沒有趕快把標準定出來 SOP執行定出來這後面真的會越來越慘 你覺得土資廠根本他不敢收他也收不了 他吃不下跟委員報告 基本上這個還是各縣市政府要想辦法 該縣市他也有一些土資廠頭頂的設置 要這些量 他也有一些計畫那
transcript.whisperx[332].start 9589.966
transcript.whisperx[332].end 9610.224
transcript.whisperx[332].text 只要縣市政府 每個縣市政府他都有籌備這樣的去處 佔置或再利用這個問題就比較可以解決主委我也擔心以後我們屏東包含我們未來有高鐵有捷運這些重大工程 告訴你這個都影響到後面的發包的一個問題主委謝謝
transcript.whisperx[333].start 9613.761
transcript.whisperx[333].end 9618.644
transcript.whisperx[333].text 謝謝徐富奎委員發言完畢現在請廖先祥委員發言謝謝主席 也要麻煩邀請我們陳主委 請陳主委
transcript.whisperx[334].start 9639.246
transcript.whisperx[334].end 9661.231
transcript.whisperx[334].text 主委好 主委午安這個時代在進步啦那我們人啊這個十一住選有各樣的一個東西也都會隨著時代去做更替嘛那我想這個在公共工程也一樣啦一定會隨著時代我們所採購的東西或者是我們的一些規格其實都會順應時代去做調整啦但是有一些新的東西這個要公部門採用的時候總是會有一套流程比如說從我們的這個規劃
transcript.whisperx[335].start 9667.912
transcript.whisperx[335].end 9674.938
transcript.whisperx[335].text 或是驗證到未來的這個普遍的應用大概是怎樣的一個流程這樣子就是創新的產品或是營養簡單就好
transcript.whisperx[336].start 9689.124
transcript.whisperx[336].end 9716.673
transcript.whisperx[336].text 公務員報告我們大概幾個方式第一個我們有那個平台創新的平台新的材料新的工法那可以到創新的平台讓各機關的了解然後去評估去使用那第二個是說我們在採購個案的採購上如何導入創新的這個新材料新工法我們可以是用因為現在工程大概都是用最有力標那有些還是用統包
transcript.whisperx[337].start 9717.493
transcript.whisperx[337].end 9740.312
transcript.whisperx[337].text 我想請教是我們是怎樣的一個驗證的一個過程是不是先有驗證這個東西它是可行的那它是可能符合我們的要求的時候那我們可能才會來做後續的一個擴充的採購原則上大概是這樣子嘛對不對是就是說工程要用新材料一定要滿足工程的本身的基本需求和安全
transcript.whisperx[338].start 9740.752
transcript.whisperx[338].end 9757.867
transcript.whisperx[338].text 對 所以驗證非常重要才會去做後續的擴充所以我今天其實想要用這個問題來引到這個潛艦國造我們國防的潛艦國造的一個問題來請教一下主委的一個意見因為我們現在原型艦海昆號就是在一個驗證的一個過程當中嘛那其實後面的7艘的擴充
transcript.whisperx[339].start 9759.568
transcript.whisperx[339].end 9764.431
transcript.whisperx[339].text 2加3加2的擴充件 原型件這個驗證之後那才會有2加3加2這可能比較符合我們的一個工程 過去政府在做一個新而沒有嘗試過的東西所謂必經的流程所以說現在我們的原型件目前還沒有完成海測對不對還沒有完成海測也就是說就像剛剛講的一個創新的產品他可能還沒完成驗證那後續的推動 其實像國防部他已經
transcript.whisperx[340].start 9787.925
transcript.whisperx[340].end 9802.781
transcript.whisperx[340].text 可能先有做先簽約了那你會建議怎麼樣去做後續的在我們公共工程的一個經驗那套用在國防採購上面的話他大概是要怎樣的驗證的一個完成之後你才會建議國防部去做後續的一個整體的一個推動
transcript.whisperx[341].start 9806.316
transcript.whisperx[341].end 9826.524
transcript.whisperx[341].text 這是國防部的攸關國家安全的採購他有特殊性 這個我不否認他就有一幫我們工程會的經驗尊重國防部的看法另外這個並不是創新的產品 淺見這件事情我們沒有做過我們台灣是落後了所以我認為無論任何困難
transcript.whisperx[342].start 9830.245
transcript.whisperx[342].end 9855.995
transcript.whisperx[342].text 台灣都要努力有自治前進的能力這是我作為一個國民的態度我們剛剛講到驗證這個部分你認為說怎樣的驗證叫做驗證完成符合我們的驗證的標準然後才可以建議去做後續的一個擴充以避免後續的擴充可能在一開始的設計上面可能是有缺陷的可能需要去調整的
transcript.whisperx[343].start 9857.675
transcript.whisperx[343].end 9875.914
transcript.whisperx[343].text 根據他的國防需求那麼他委託或者是採購的這些潛艦他一定有合約根據他的功能測試那如果合於他的需求那他們會去做決定在符合相關採購企業的方式之下所以主委不太敢回答啦
transcript.whisperx[344].start 9877.175
transcript.whisperx[344].end 9893.413
transcript.whisperx[344].text 不是這個怎樣叫做驗證完怎樣可以去做這位公共工程委員會好像不太敢做這方面的一個解釋完全是國安部的需求所以以後各個機關也可以說是他們的需求然後自己去做一些標準我的理解好像會變成這樣子
transcript.whisperx[345].start 9894.594
transcript.whisperx[345].end 9911.923
transcript.whisperx[345].text 好沒關係沒關係我再問下一個問題啦我再問下一個問題反正這樣子鬼打牆也不一定會願意說更多的話那您可能也有看到這個新聞潛艦的違約我們一天交艦的約是17萬嘛那我們的公共工程有例外情形有分兩種嘛一種就是標準的可能
transcript.whisperx[346].start 9914.812
transcript.whisperx[346].end 9928.397
transcript.whisperx[346].text 這個公道價譬如說延遲一天的話可能是契約金額的多少另外一個部分我們也可以制定嘛對不對國防部他可能制定那我們原本上我們採購法上面的違約的每日的違約金額大概是採購金額大概多少
transcript.whisperx[347].start 9930.817
transcript.whisperx[347].end 9946.091
transcript.whisperx[347].text 但是他有個上限原則上是千分之一嘛然後造價可能是上限的百分之二十但是他還要看說到底違約的部分是牽涉到對他可能有國防有特殊性我們都認同啦所以說國防部他有另外他去訂一個規定所以他是17萬17萬大家都應該都聽過嘛那17萬的部分他的
transcript.whisperx[348].start 9950.715
transcript.whisperx[348].end 9960.863
transcript.whisperx[348].text 計算的一個基準就是說它的工程造價大概是用200億去算那17萬大概占200億的多少你們有沒有算大概有沒有一個概念我們把這個萬去掉17萬扣掉一個萬就17200億去掉一個萬大概200萬所以就17比200萬大概是十萬分之一的日圖約金
transcript.whisperx[349].start 9979.96
transcript.whisperx[349].end 9991.499
transcript.whisperx[349].text 大概是這樣子我應該沒有算錯大概是十萬分之一我們公共工程委員會可能有許多的經驗你們有沒有聽過有比十萬分之一還低的日違約金的罰款機制
transcript.whisperx[350].start 9993.837
transcript.whisperx[350].end 10019.264
transcript.whisperx[350].text 有沒有聽過啦 有沒有聽過有沒有遇過沒有 我先確認有沒有遇過 有沒有聽過啦因為國防有國防的特殊性我們都認同他有可能依照他實際的需求去訂定相關的合約這都合法我們尊重我只想問我們公共工程委員會有沒有遇過比十萬分之一還要低的一個日違約懲罰金有或沒有而已啦
transcript.whisperx[351].start 10021.072
transcript.whisperx[351].end 10036.629
transcript.whisperx[351].text 這個我們去了解一下啦你也不確定有沒有 但是現在想不起來有比十萬分之一低嗎這的確是一個很嚴肅的問題啦台灣要做潛艦 所有人都應該樂觀其成應該客戶任何困難 甚至排除任何法規的局限
transcript.whisperx[352].start 10042.035
transcript.whisperx[352].end 10055.249
transcript.whisperx[352].text 我們也要督促廠商因為有時效性 國防有時效性所以我們要督促廠商他要盡快的完成交件但是我們不要輕易說不繼續做自製潛艦所以我的意思就是說我們這樣子的違約金讓廠商有沒有辦法積極要去哪裡買潛艦來防衛台灣的安全
transcript.whisperx[353].start 10060.774
transcript.whisperx[353].end 10075.664
transcript.whisperx[353].text 主委你扯遠了 你扯遠了我們的目標一樣我們就直接講核心問題我們的目標是希望廠商積極是希望台灣自治潛艦還是說國防部不要自治潛艦所以說海昆號我們支持啊所以希望的話就要克服任何困難
transcript.whisperx[354].start 10076.304
transcript.whisperx[354].end 10095.049
transcript.whisperx[354].text 對所以說我們希望廠商積極的來做嘛對不對對所以我們公司的立場是尊重國防部的財政國防部應該有他一些積極的來有些機密廠商積極的完成合約競速的交界是我們共同的目標對不對是吧主委也希望盡快交界嘛
transcript.whisperx[355].start 10096.257
transcript.whisperx[355].end 10122.784
transcript.whisperx[355].text 我們希望滿足國防部的需求不會說不會 不要吧 應該是要吧我們希望都盡快交件 你剛剛問我需不需要國防制度我答應你 我希望啊當然按照合約 希望交件能夠如期完成站在一個國民的角度 你應該也希望盡快交件吧我們希望趕快擁有潛艦 有足夠的潛艦所以對於這個國防的問題啊對這個廠商 你覺得有沒有讓他有壓迫性 希望他盡快的來交件
transcript.whisperx[356].start 10123.624
transcript.whisperx[356].end 10139.259
transcript.whisperx[356].text 這很嚴肅的問題對所以說我們都是台灣國女我們希望台灣的國防部有這樣的能力所以任何困難我們都站在協助讓他能夠完成的角度但我們不希望廠商一直拖嘛對不對我們不希望廠商一直拖拖不拖是國防部跟廠商的約定
transcript.whisperx[357].start 10141.88
transcript.whisperx[357].end 10164.488
transcript.whisperx[357].text 所以說現在各個機關都可以這樣子講不同機關是國防部這個前件的問題太嚴肅了所以我就請教一個主委我請教主委10萬分之一的日的違約金你認為對於廠商去競速的交件這件事情你認為能不能構成他的壓力這個是國防部自己的決定
transcript.whisperx[358].start 10165.848
transcript.whisperx[358].end 10177.414
transcript.whisperx[358].text 國防部他站在什麼角度什麼約定那如果認為合以他的採購契約那國防部當然可以這樣做你難道希望滑到滑到這個廠商倒掉沒有人希望廠商倒啊我們必須很嚴肅的跟你對談對不對所以這個問題太嚴肅了
transcript.whisperx[359].start 10183.217
transcript.whisperx[359].end 10210.25
transcript.whisperx[359].text 所以我們希望他早一點那我就因為工主委你的經驗豐富所以來請教一下國防有特殊性然後當然我們也是希望說依照其他的經驗來看看怎樣的一個機制讓廠商他有壓力競速滿足我們國人對國防以及國防部的要求那所以說了請教這十萬分之一的違約金的機制對於對廠商來說有沒有壓力啦這可能你們或許有其他的其他案例你們覺得他他他
transcript.whisperx[360].start 10211.41
transcript.whisperx[360].end 10237.959
transcript.whisperx[360].text 這樣的機制對廠商有壓力你們也可以說哪個案子也是這樣子吧他也達到很好的效果我們也可以舉例嘛對不對因為他的採購的本質是帶有研發性質在外國叫做APA的採購那APA的採購基本上面他有他的特殊性不單單只是我們都承認所以他會算在公企裡面所以他必須去衡量整個他旅業的可能性他旅業的這個風險等等所以他是依照這些相關的因素去
transcript.whisperx[361].start 10239.099
transcript.whisperx[361].end 10264.767
transcript.whisperx[361].text 我們都理解啦好啦我就尊重主席啦時間到了那我只是希望說國防採購大家支持但是也希望說有時候我們工程會也可以提出一些建議怎麼樣子讓這個採購案能夠更符合我們國防如期如值的交件應該是大家共同的目標就這樣的一個目的而已好以上謝謝謝謝廖先祥委員發言完畢現在請謝龍介委員發言
transcript.whisperx[362].start 10281.439
transcript.whisperx[362].end 10284.9
transcript.whisperx[362].text 主席我請等主委請等主委很好啊 剛才廖委員在講主委辛苦了國防的才幹我們都支持奉款發令 為了台灣可以有減水艇 大家都支持
transcript.whisperx[363].start 10306.209
transcript.whisperx[363].end 10323.187
transcript.whisperx[363].text 但不能說我們大家都支持,就把這個不法,到保障核心、淡化都保在裡面,臨摹不中都可以運用,這不可能
transcript.whisperx[364].start 10324.414
transcript.whisperx[364].end 10334.742
transcript.whisperx[364].text 如果沒有問題 老總統在當選他就不會說前進國造要發展了就是有發生一些問題我們是說要怎麼去理性面對你專業是希望你怎麼用專業替他討要給他發 法律上的那些都是我們要付出代價的嘛 對不對譬如說台灣領元要改變
transcript.whisperx[365].start 10347.509
transcript.whisperx[365].end 10368.873
transcript.whisperx[365].text 需要力量跟太陽能的發電 但是不能因為需要力量跟太陽能的發電 這樣就能溫泉過上高潔了是不是這樣這是大家真理性來看待這個問題主委我請教你我們說的當天委員會是不是有一個叫做拆槓新手的心理委員會這個有啦這個委員會的功能是什麼
transcript.whisperx[366].start 10375.697
transcript.whisperx[366].end 10399.006
transcript.whisperx[366].text 包括申訴跟禮業爭議調解管理很大申訴跟禮業爭議調解管理很大因為我對港電多少有了解過去我整理了什麼因為這個條件出來的結論如果機關沒有同意對方就可以去申請仲裁
transcript.whisperx[367].start 10404.833
transcript.whisperx[367].end 10433.075
transcript.whisperx[367].text 一般全台灣所有的政策 國有的官司政府差不多3%就是最好選擇的政策 政策差不多超過十八九年以前機關付出的代價會更大所以在你們這個裡面 其實是很重要啦他的改水跟過程的結論啦 會影響阿伯輸贏大概在這裡就已經破頂了啦如果內行的在這裡看到這個結論處理
transcript.whisperx[368].start 10434.915
transcript.whisperx[368].end 10444.8
transcript.whisperx[368].text 去仲裁的時候就差不多知道勝負多少了我請問你 這個委員會裡面有沒有一個姓孔的委員我知道你如果 你講孔嘛 我們有一個孔凡奇律師
transcript.whisperx[369].start 10457.639
transcript.whisperx[369].end 10472.964
transcript.whisperx[369].text 他是一個律師啦 但是當然律師接什麼案件不管了 他也要接政府的 也有去接一方的兩邊他都有委託 這是律師的權益 但是他也是你的委員就對了但是在這個委員會裡面 他就變成是法律最受權的公務員他就是這個委員啦
transcript.whisperx[370].start 10484.923
transcript.whisperx[370].end 10496.528
transcript.whisperx[370].text 所以本會就變成可以來關心啦因為我記得有我們會立委有跟主委請教過就是說他覺得有食人的問題啦,但是你之前的回答就是說沒問題嘛主委你之前有講過
transcript.whisperx[371].start 10510.931
transcript.whisperx[371].end 10526.685
transcript.whisperx[371].text 報告委員孔律師我從來不認識他我知道啦 不是你的問題我是給委員說明他以前接的甲方的案件公務局高工局替政府機關訴訟的最多所以因為拼臨沒問題嘛沒有問題沒有問題經濟我了解就是說
transcript.whisperx[372].start 10537.574
transcript.whisperx[372].end 10557.951
transcript.whisperx[372].text 你們這個委員會大概就是每個禮拜五開會嘛那是大會那是大會嘛,大會之前呢如果有這個問題,分給這個有心會嘛就是看是申訴還是...有心會大概就是一個專業的、一個法律的啊原則上大概這樣嘛大家都是委員,他還在受委託
transcript.whisperx[373].start 10564.161
transcript.whisperx[373].end 10570.651
transcript.whisperx[373].text 如果來搞這個無心肺大我們兩個像我們兩個現在這樣在這裡有在互動另一邊那個肺大 只有我們兩個你認為這樣會受到影響嗎 會受到這個大肺關節的影響嗎
transcript.whisperx[374].start 10578.942
transcript.whisperx[374].end 10601.002
transcript.whisperx[374].text 我想這個是律師職業過程裡面經常會面臨的問題譬如說律師也很多在各個機關的這個書院委員會等等都會有案件個案要利益迴避的問題所以原則上只要是從事這個行業的大概不應該說我跟他認識或怎麼樣不用去解說背景啦 就是說工作要避嫌嘛
transcript.whisperx[375].start 10602.523
transcript.whisperx[375].end 10625.757
transcript.whisperx[375].text 群組派遣就是說 譬如說他在你們裡面你現在跟他在那裡 我也覺得很奇怪 如果這樣就表示他如果接案來做委員 那就裁判檢選手了嘛這就是說 我的意思是說 不是針對個人 就說針對同案 我們尽量群組派遣嘛因為公共工廠委員會是一個動見觀察 大家都覺得是信任人 所以就對你們這裡來嘛
transcript.whisperx[376].start 10631.86
transcript.whisperx[376].end 10658.357
transcript.whisperx[376].text 所以他現在 依我的理解就是說 他只要他有擔任過他代理案件的機構和廠商 他都會迴避啊 他會全案件都迴避啊你今年啦 今年的價位喔 已經是做委員啦他有收到一間應責公司的委託 要向公共工廠申請了解後來呢 公共工廠會做出建議後來 我們做出來了 我們待會做了
transcript.whisperx[377].start 10662.08
transcript.whisperx[377].end 10674.562
transcript.whisperx[377].text 結果 他們不同意誰不同意這個親情的他們就說 不同意來 你現在聽我說 不同意的理由書當然就是他寫的
transcript.whisperx[378].start 10677.053
transcript.whisperx[378].end 10699.239
transcript.whisperx[378].text 他說我們工廠會的條件件疑是騙民採納他遭董事員的意見並不就有利於新青林的部分 若不可能 若不符合新青林對著公共工廠委員會的期待所以這個理由就是他死了 我覺得他是你們的委員他現在對董事員 對你們提出抨擊主委 我覺得這樣 你會受傷啦
transcript.whisperx[379].start 10705.491
transcript.whisperx[379].end 10726.339
transcript.whisperx[379].text 報告委員 這個申訴調解 跟你想我們代表會嘛 那個調解委員會那這個禮業爭議的調解 有的案件蠻大的那這個調解很專業 我們不可能讓所有的律師都不參與調解委員會就是他該避 該迴避的迴避 他要自我
transcript.whisperx[380].start 10729.198
transcript.whisperx[380].end 10746.824
transcript.whisperx[380].text 後來他寫出來的結論是來評價你的委員會做出來就是他受理案件的立場來寫他的這個這樣就會變成角色矛盾啦我的意思是說在公共工程委員會裡面應該盡量撇免這種角色矛盾啦
transcript.whisperx[381].start 10751.94
transcript.whisperx[381].end 10780.479
transcript.whisperx[381].text 你這個角色矛盾 就會讓一般外界所有的人 我要來給你選擇的人變成說 你們就求完兼裁判 還可以做裁判 現在做求完 再來說裁判都不對主委你也不給他處理 也沒有條件 我認為希望這個個案以外 其他大家 因為我相信會做到律師 會做到委員 本身都有主律的紀律的功能
transcript.whisperx[382].start 10781.601
transcript.whisperx[382].end 10799.568
transcript.whisperx[382].text 主委你看 有需要 我今天這樣跟你講 你可以接受嗎我想要保持這個 要公正一定是絕對的價值那個案裡面 我們來解釋看看有沒有適當的部分謝謝謝榮介委員 發言完畢
transcript.whisperx[383].start 10811.588
transcript.whisperx[383].end 10814.689
transcript.whisperx[383].text 現在請鄭天才委員發言主席有請這個主委鄭委員請陳主委委員好主委好這個
transcript.whisperx[384].start 10841.721
transcript.whisperx[384].end 10867.922
transcript.whisperx[384].text 今天就談這個馬太安西菸社府這個應變中央協調匯報現在已經由這個主委來擔任這個執行秘書在今天的報告裡面也提到這個馬太安西菸社府整治包括防範並執行減災監測及修築堤防加固加高
transcript.whisperx[385].start 10869.142
transcript.whisperx[385].end 10888.718
transcript.whisperx[385].text 這個都是在特別條例裡面所明訂的這很遺憾的就在這次的鳳凰颱風的非常非常遙遠的颱風然後帶來的這些豪雨就造成了這個萬榮鄉
transcript.whisperx[386].start 10891.468
transcript.whisperx[386].end 10919.284
transcript.whisperx[386].text 就是馬太安溪的另外一側上次是在光復鄉這次跑到望榮鄉就因為這個堤防有這樣的一個就是沒有設堤防的一個溢流點就從那邊就這樣進來了所以這個部分經過一個多月之後仍然發生這樣的一個情形當然一直發生這樣的一個
transcript.whisperx[387].start 10921.236
transcript.whisperx[387].end 10944.108
transcript.whisperx[387].text 災情現在光復鄉鳳林鎮望龍鄉很多的鄉親都在反映最重要的還是在這個馬太安西安社府的大體要如何趕快處理這個源頭我們就今天談這個源頭上次我在總質詢的時候
transcript.whisperx[388].start 10946.028
transcript.whisperx[388].end 10970.343
transcript.whisperx[388].text 也有跟院長提過那因為當初時間的關係沒有辦法細談事實上啊 本席我都已經認為說我知道了太晚對於馬太安西安社府這個霸體我是在8月初才知道從媒體的報導才知道
transcript.whisperx[389].start 10971.758
transcript.whisperx[389].end 10999.506
transcript.whisperx[389].text 後來才發現原來水利以前的農委會林務及他們在109年就開始看到這個崩塌的現象有時候有流水有時候沒有水是這樣的一個情形我們就所以我8月初才知道所以我提了這個附帶決議當初是為了丹納斯颱風的特別條例
transcript.whisperx[390].start 11000.339
transcript.whisperx[390].end 11025.684
transcript.whisperx[390].text 我提出了這個附帶決議當初就是建議那個霸體一定要開挖易洪道而事實上我後來也才發現這個106年農委會就已經有這樣的一個對於煙社福的霸體應該要怎麼去處理都有一個106年就已經有規定了
transcript.whisperx[391].start 11028.431
transcript.whisperx[391].end 11056.625
transcript.whisperx[391].text 所以我們現在這個挽養補勞畢竟還是要去處理所以農業部農業部在10月25號我有親自陪同行政院院長去提防那邊當時農業部的報告他們也要積極處理天然霸體的治理工程他們的方式就是要從光復的林道還有望龍的林道
transcript.whisperx[392].start 11057.878
transcript.whisperx[392].end 11082.071
transcript.whisperx[392].text 來去上山來去上山望榮林道跟光復林道他們目前的規劃要把這個林道本來就有林道本來就有林道要把這個林道透寬要讓這個挖土機能夠上山上山之後然後去挖這個壩體這個他們的規劃
transcript.whisperx[393].start 11085.573
transcript.whisperx[393].end 11113.181
transcript.whisperx[393].text 有方案一方案二當然我上次跟這個院長建議現在也是向主委建議因為這樣子去是一種做法這個當然我不是專業人士當初我的建議就是說當初我8月22號開過學條
transcript.whisperx[394].start 11116.551
transcript.whisperx[394].end 11145.285
transcript.whisperx[394].text 開過緊急的協調會8月22號為什麼會開呢因為我那時候8月22號開協調會我是8月20號看到農業部的報那個消息多沒有下雨的話10月初就會一流所以我8月20號趕快發公文也邀請了公務工程委員會
transcript.whisperx[395].start 11146.446
transcript.whisperx[395].end 11172.644
transcript.whisperx[395].text 災防辦還有農業部經濟部除了下游的堤防加固加高河床輸菌都提了當然上面的霸體也應該要想辦法處理當然時間以現在來看已經很晚了太晚了所以我的訊息說真的是太晚了所以我們現在還是要處理還是要處理
transcript.whisperx[396].start 11176.528
transcript.whisperx[396].end 11182.097
transcript.whisperx[396].text 這個不曉得主委有什麼樣的評估
transcript.whisperx[397].start 11183.311
transcript.whisperx[397].end 11209.947
transcript.whisperx[397].text 好 謝謝委員 的確是委員在協調單案式風災特別條例的時候附帶決議因此特別預算才編了一億兩千萬針對堰塞湖的這個監測疏洪還有一些防災才有這個預算那目前是採取方案一啦從這個公務林道上去200天所以我才說希望明年六月夏天之前
transcript.whisperx[398].start 11211.268
transcript.whisperx[398].end 11237.344
transcript.whisperx[398].text 這個林道應該要改善完畢讓相關機器能夠上去那上去不是直接要挖那個壩體是作為監測或者是了解或者裝置監測設備或者是有什麼疏洪可以慢慢疏洪的是這樣子現在監測系統都有了監測系統都有了所以這個部分
transcript.whisperx[399].start 11238.991
transcript.whisperx[399].end 11262.227
transcript.whisperx[399].text 如果只是這樣的話我就建議就不要了先讓人機具能夠到達才能夠決定採取什麼方案否則人用直升機吊掛下去或機械重機械根本沒辦法下去所以要領導先做好然後上去再評估用什麼方式好那個這樣我的建議還是我上次提過
transcript.whisperx[400].start 11264.668
transcript.whisperx[400].end 11289.608
transcript.whisperx[400].text 過去都有案例所以一定要去不是單獨由農業部去處理我是建議公共工程委員會既然你們是一個這個條例的主管機關特別條例的主管機關你們要召集相關的部會包括國防部包括專業人士
transcript.whisperx[401].start 11292.079
transcript.whisperx[401].end 11314.261
transcript.whisperx[401].text 然後去參考過去國際的案例直升機不是沒有上汽過內政部的直升機已經上汽過了也把人放下去了所以這個部分何況啊挖土機他是可以拆解的挖土機
transcript.whisperx[402].start 11315.287
transcript.whisperx[402].end 11336.347
transcript.whisperx[402].text 可以拆解上去然後再組裝的所以這個必須要專業人士了我只能建議了我只能建議所以你們一定要去積極的召開這樣的一個專業的會議我只不過是做這樣一個建議好不好謝謝謝謝鄭天才委員發言完畢現在請盧憲一委員發言
transcript.whisperx[403].start 11348.596
transcript.whisperx[403].end 11351.057
transcript.whisperx[403].text 主席有請陳主委請陳主委委員好主委好在這個業務報告裡面的第14頁我看到了確保各機關解決在公共工程推動過程中遇到的困難跟障礙確保公共工程順利進行品質持續提升並加速促進區域平衡發展我覺得我看到這句話的時候
transcript.whisperx[404].start 11377.326
transcript.whisperx[404].end 11387.377
transcript.whisperx[404].text 內心有一些喜悅有些期望那我覺得說在我們在奔跑全國原住民地區的時候會覺得說到底國家在哪裡那我們先看一段影片
transcript.whisperx[405].start 11400.03
transcript.whisperx[405].end 11428.285
transcript.whisperx[405].text 這段影片大概就是它發生的時間點剛好是在馬太安顏色湖的事件發生的時候這個地方是在台東的海端鄉我們的南橫的路段大概在180公里的地方那它是南橫公路不是農路它也不是一般道路你可以看到它的柔長寸段那我們看到這樣的時候主委你覺得它會跨設到幾個單位
transcript.whisperx[406].start 11431.929
transcript.whisperx[406].end 11457.449
transcript.whisperx[406].text 當然公路是交通部嘛那有些是水保的問題是農業部那園民鄉園民會大概是主要這三個還水利如果說底下是河川的話大概就是這個然後當然我有因為這件事情有召集過中央各部會還有地調中心就是地質調查的
transcript.whisperx[407].start 11458.49
transcript.whisperx[407].end 11480.82
transcript.whisperx[407].text 那所以我覺得常常在我們在做這樣的一個會的時候其實我們覺得力道不足後來我覺得那個公共工程會應該是其實是最適合做這方面的跨部會的一個整合的一個單位那我在講一些地方讓主委有一些印象比如說我們的桃園地區剛才明巴路克橋已經花了20億還是沒有這個橋然後
transcript.whisperx[408].start 11486.182
transcript.whisperx[408].end 11500.849
transcript.whisperx[408].text 那個納瑪夏往阿里山的那個青山段他的路也斷了他也需要跨部會還有我們寶山的高雄縣桃園區寶山的柔河橋蓋了4000萬的橋結果一兩年就不見了那
transcript.whisperx[409].start 11501.849
transcript.whisperx[409].end 11527.154
transcript.whisperx[409].text 我們看到當時颱風災後重建條例這個這麼大的一個就所謂的我們的國家的預算的時候我們很希望有一個所謂的災後復建部落遷村的專案平台可是我們那時候提建議可是並沒有被納入考量那我希望主委以後有遇到這樣的時候能夠全力支持我們原鄉的部落
transcript.whisperx[410].start 11528.314
transcript.whisperx[410].end 11555.942
transcript.whisperx[410].text 千村的專案平台因為如果不是公共委員會的這個層級的話沒有人可以做這樣的工作因為現在我們經過88風災到現在那麼多年很多地方已經產生了很多問題如果你沒有部落千村那個專責平台的時候你沒有辦法去找到一個對口來處理他們很多法規上的問題還有一些經費上的限制我所以這方面給你一個建議
transcript.whisperx[411].start 11558.959
transcript.whisperx[411].end 11576.693
transcript.whisperx[411].text 是跟工程有關那公共工程委員會則無旁貸但如果涉及到遷村是否遷村整合意見那應該有他相對的主管機關大家都同意的情況之下 工程的部分工程會願意來協助
transcript.whisperx[412].start 11578.494
transcript.whisperx[412].end 11594.468
transcript.whisperx[412].text 那就引入到我今天的一個主題就是我們在走仁愛鄉的所以就是南投看到我們這物色水庫這個周邊的這個環境也是柔腸寸斷那其實我大概知道說台電大概投資在物色水庫大概50億的
transcript.whisperx[413].start 11595.909
transcript.whisperx[413].end 11614.327
transcript.whisperx[413].text 金額的規模要輕於這些不過如果只有台電這方面在努力可是下游呢下游有一個澳萬大溪的一個匯入以後造成部落下面的部落沿線的這些部落 左水溪線的他們的生活的品質跟那邊的遇上的堆積也是需要
transcript.whisperx[414].start 11614.947
transcript.whisperx[414].end 11630.494
transcript.whisperx[414].text 跨部會的一個經費因為我後來去做實地考察以後他們發現說現在水保署的經費大概就是他們當初在上一任總統的時候有講說可能台電付一半然後水保署這邊付一半結果換了總統以後結果
transcript.whisperx[415].start 11633.395
transcript.whisperx[415].end 11659.123
transcript.whisperx[415].text 部長都換人了結果台電這邊說他們沒有這方面的計畫所以如果說就這樣的話台電做上面的然後水保做下面的可是其實是應該是統整做一個整個地區的治理不然我們永遠都沒有辦法去把我們仁愛鄉治理好因為你再去那邊跟你10年前20年前的時候甚至都是退步的而不是進步的
transcript.whisperx[416].start 11659.503
transcript.whisperx[416].end 11686.863
transcript.whisperx[416].text 所以對國家的整個形象或者說對原鄉的一些付出或者說我們希望它的原鄉道路是國道成績的這樣的一個很卑微的訴求其實都遙遙無期所以我希望主委這邊能夠做一個跨部會的整合希望把那個物色這一帶的這個上下一個治理計畫能夠推入到一個重點的一個你這個任期裡面的一個
transcript.whisperx[417].start 11688.484
transcript.whisperx[417].end 11715.754
transcript.whisperx[417].text 願景啦那我有一個最後一個方案就是因為時間的關係我希望因為這個很多園鄉的地區都是跨部會所以希望我們可以找一個時間來專門來來解決這個物色地區這麼這麼大區域的一個區域啊或者是道路啊或者是整個這個園鄉的規劃所以我希望能夠排個時間邀請主委以政務委員的身份來個跨部會協商跟協調好不好
transcript.whisperx[418].start 11716.755
transcript.whisperx[418].end 11722.82
transcript.whisperx[418].text 問題好謝謝主委好謝謝盧縣議委員發言完畢現在請許智傑委員發言好謝謝主席我們
transcript.whisperx[419].start 11741.182
transcript.whisperx[419].end 11763.288
transcript.whisperx[419].text 讓主委喝一口水完再一次辛苦了請陳主委也謝謝徐委員謝謝主委辛苦了我想全國的重大工程這個不生沒舉啦那主委負擔這麼多的重大工程當然很辛苦我們先感謝主委那個陸力為國為國為民
transcript.whisperx[420].start 11765.782
transcript.whisperx[420].end 11787.391
transcript.whisperx[420].text 不過就是辛苦的地方還是需要主委多幫忙我們的災區就是從這個颱風跟雨災事實上我們高雄的災區真的是蠻需要經費協助的當時那個其邁市長也預估說大概有10億左右
transcript.whisperx[421].start 11788.942
transcript.whisperx[421].end 11806.255
transcript.whisperx[421].text 那目前交通部編列的預算我知道也很緊迫啦就是包括交通部本預算包括道路省道園民會等等的這些都有編列預算那交通部經濟部園民會等部會也曾經承諾說要核定加速經費重寬
transcript.whisperx[422].start 11807.996
transcript.whisperx[422].end 11832.839
transcript.whisperx[422].text 那這個部分我想包括我們的台20線南橫東莊橋聖晉橋明霸克祿橋這個蠻嚴重的那27線台27線28線還有29線這些都是災區非常迫切需要的那尤其是明霸克祿橋事實上你看了也真的很從八八水災到現在已經地層上升了50公尺高
transcript.whisperx[423].start 11834.016
transcript.whisperx[423].end 11847.015
transcript.whisperx[423].text 所以真的是這個工程困難跟需要的經費窘迫真的是我們高雄很需要的那不知道這個部分主委有沒有就是把這個進度幫忙keep
transcript.whisperx[424].start 11850.087
transcript.whisperx[424].end 11874.934
transcript.whisperx[424].text 八月風災這個預算就是丹納斯風災的特別預算裡面這個預算分布在各部會交通部公路局或者是園民會都有他們會提出一些相關的子計畫事實上原來預算在編的時候都已經框住了所以都已經在執行了我現在只是不了解說各部會在執行當中
transcript.whisperx[425].start 11876.554
transcript.whisperx[425].end 11902.129
transcript.whisperx[425].text 在執行高雄的時候它是否有編族 如剛才委員所需求的現在就是說各部會還不夠 那我們希望說請我們主委能夠再幫忙主委也是我們高雄市的副市長出身能夠盡量幫忙 還有副主委也是能夠盡量幫忙把這個進度跟經費可以盡量把它匡列好
transcript.whisperx[426].start 11902.469
transcript.whisperx[426].end 11922.488
transcript.whisperx[426].text 可能剩下一倍金也用的差不多了就是說300億裡面有一部分是一倍金也用的差不多了所以我再瞭解一下在特別預算裡面 是否還有能夠留用
transcript.whisperx[427].start 11923.444
transcript.whisperx[427].end 11947.492
transcript.whisperx[427].text 的空間啦就是其他部位有沒有執行沒有辦法不必執行那麼多了有沒有能夠留用的空間啦這部分我這個會後我再來了解希望主委就是特別關照啦因為這個正常的十一住行都可以安排的情況之下那當然是基本需求但是連十一住行都沒有辦法安排的時候這個就必須優先處理
transcript.whisperx[428].start 11948.932
transcript.whisperx[428].end 11976.063
transcript.whisperx[428].text 那災區這裡其實幾乎是他們要通外道這基本需求都還沒達到所以這個部分請就是說我們在中央的角度能夠看到全國真的是十一住行都沒有辦法料理的完整的地方是不是可以優先關注或者是多加注淨費來協助直接跟高雄市政府聯絡讓你評估我剛才講的這個整個特別預算的執行情形有沒有空間可以留用到這裡來
transcript.whisperx[429].start 11977.365
transcript.whisperx[429].end 12006.437
transcript.whisperx[429].text 謝謝主委那再來就是說我們的高雄重大建設還有國道7號還有高雄機場那也謝謝主委對我們國道7號很重視那還率隊親自下去跟我們在加強國道7號那原則上這個照程序動工這個不知道主委有沒有keep這個進度就是我們115年初就是明年的很快那這個進度是不是工程會有注意到
transcript.whisperx[430].start 12011.27
transcript.whisperx[430].end 12031.665
transcript.whisperx[430].text 跟委員報告我想那個國道7號這個是我們不管是智捷委員還是我們主席崑哲委員都長期在關心推送的那這個基本設計都已經確定了那現在那個高工局也正在準備發包作業當中那已經上網了那總共會是未來會有六個工程標加一個機電整合標
transcript.whisperx[431].start 12033.146
transcript.whisperx[431].end 12050.373
transcript.whisperx[431].text 那他現在明年初動工他們在拚今年年底前先把前面的第一標就是有第幾標就是靠近小港那邊先完成發包那如果順利今年能夠發包的話他明年就是要從明年能夠來動工明年初希望有機會動工是 謝謝
transcript.whisperx[432].start 12052.054
transcript.whisperx[432].end 12077.256
transcript.whisperx[432].text 那另外還有 主委 這個庚副主委 這個高雄機場的擴建這個問題其實蠻大的啦就是說我們現在桃園第三寒夏的工人大概都集中在那裡那大概第三寒夏的北半的對 就是北部 北半部會先完成嘛那在今年底可以完成
transcript.whisperx[433].start 12078.206
transcript.whisperx[433].end 12101.892
transcript.whisperx[433].text 那明年是不是就說還要等這個藍登基郎廳做完然後這些工人才有機會移世高雄阿北登基郎廳計畫是年底看能不能適應應啦後續還有藍登基郎廳主體的工程恐怕還有一點時間那這裡面他是
transcript.whisperx[434].start 12103.392
transcript.whisperx[434].end 12123.117
transcript.whisperx[434].text 承攬這個T3承攬這個第三行下的營造廠他去申請的移工所以是不是能夠直接轉過去我可能要跟勞動部了解相關的規定因為那邊其實也有人在反映就是移工的確不足啦
transcript.whisperx[435].start 12124.242
transcript.whisperx[435].end 12139.113
transcript.whisperx[435].text 那當然這個部分這是國家政策的問題那是不是工程會能夠幫忙協調如果說高雄機場到時候開始施工的時候有需要移工我們可以工程會可以協助專案來跟大東部來申請
transcript.whisperx[436].start 12140.509
transcript.whisperx[436].end 12165.007
transcript.whisperx[436].text 好這個部分我是希望說那個工程會能夠這個我們有潛力可循啦多多協助啦因為這個工人跟我現在知道的訊息是這樣啦就是北登基廊道這邊做完做南登基廊道這邊做完才有辦法移植高雄對才有辦法移植高雄嘛所以如果這些人都還沒做完我可能高雄的進度就會被delay到
transcript.whisperx[437].start 12166.127
transcript.whisperx[437].end 12173.465
transcript.whisperx[437].text 那高雄那邊有沒有可能就是先有機會不管是專案還是怎麼樣就是那邊可以有機會先動工
transcript.whisperx[438].start 12174.83
transcript.whisperx[438].end 12203.417
transcript.whisperx[438].text 所以他就是看哪一個營造廠得標他會提出申請那工程會協助他就重新申請那些額度如果開工了那這個第三航廈還沒有完成那當然高雄機場那邊可以先進一些移工先動對 OK這個再拜託主委幫忙因為我們高雄如果要等到第三航廈都做好才來動高雄那時間又可能會被delay到所以這個部分再拜託主委
transcript.whisperx[439].start 12203.997
transcript.whisperx[439].end 12221.063
transcript.whisperx[439].text 那統而言之就是說我希望說再一次呼籲啦就是說其實我們南高屏生活圈你包括有很多公共的建設都應該一起思考像北北基島他現在這個大生活圈其實很多都會互通的蠻好的那南高屏很多的交通建設要走在前面
transcript.whisperx[440].start 12222.043
transcript.whisperx[440].end 12240.94
transcript.whisperx[440].text 所以也謝謝其實我們主委跟我們的交通部其實這部分也協助的蠻多的啦就是說包括我們的捷運將來有沒有機會北接台南、南接台東、南接屏東那包括我們的國道現在在拓寬也謝謝主委大家的幫忙
transcript.whisperx[441].start 12241.661
transcript.whisperx[441].end 12263.529
transcript.whisperx[441].text 那未來還有很多就是包括高屏二塊等等的這個主委都很幫忙那我是希望說將來國家在做思考的時候就是包括蔡總統包括我們的賴總統所標榜的就是大南方新矽谷那大南方就是南高屏的結合那也希望說主委可以在這一部分以後有這個公共建設的思考的時候可以
transcript.whisperx[442].start 12264.449
transcript.whisperx[442].end 12288.727
transcript.whisperx[442].text 用這個觀念去把南高屏把它盡量的連接在一起這樣子我們大概500萬左右的區域經濟體才有辦法自給自足或者是互補不足所以這個部分我想未來南高雄南高屏我們高雄跟台南屏東的結合要更緊密那這個部分再拜託主委在做思考的時候可以再多一個這樣子一個思考會對我們南高屏的發展會更好
transcript.whisperx[443].start 12291.114
transcript.whisperx[443].end 12307.226
transcript.whisperx[443].text 高鐵延伸屏東的部分我們也持續在關注鐵道局在進行的環評作業當中希望他能夠如期來完成這個環境想評估說明書這個就拜託主委可能包括高鐵、台鐵、國道、公路、飛機
transcript.whisperx[444].start 12311.47
transcript.whisperx[444].end 12336.369
transcript.whisperx[444].text 機場啦 二十四小時機場等等這些都是我們一個大的生活圈之所需所以就是說中央在核定這些機會的時候希望能夠盡量把我們這三個地方結合在一起的需求這樣子可能核准的機會更高那將來串聯的機會也才會更高 好不好好 謝謝主委好 謝謝許智傑委員發言完畢現在請邱若驊委員發言
transcript.whisperx[445].start 12348.443
transcript.whisperx[445].end 12350.05
transcript.whisperx[445].text 謝謝主席 主席請陳主委
transcript.whisperx[446].start 12357.347
transcript.whisperx[446].end 12371.998
transcript.whisperx[446].text 委員好 主委好 主委今天有幾個問題要向您來就教那首先我們先來看到前瞻基礎建設第五期的特別預算執行率那根據工程會最新的督導報告第五期的前瞻特別預算執行率從8.76%提升到22.48%那雖然成長了13.72%
transcript.whisperx[447].start 12379.063
transcript.whisperx[447].end 12395.032
transcript.whisperx[447].text 可是距離年底的目標你們定的95%仍然是差到72.5%那也就是說從9月的匯報到年底只剩3個月10月 11月 12月那等於說每個月要拉高24%的進度主委您認為這樣是真的可以達到嗎請公管處處長來跟你說明
transcript.whisperx[448].start 12407.004
transcript.whisperx[448].end 12424.69
transcript.whisperx[448].text 謝謝委員的關心那因為前瞻今年預算通過比較晚不過各個部會都在努力中那我們大概有盤整到年底他們可以執行的達成率大概也可以接近到九成以上這個我們也要求各部會來努力來執行以上
transcript.whisperx[449].start 12425.709
transcript.whisperx[449].end 12446.081
transcript.whisperx[449].text 所以是確定在實際工程現場24%是每個月24%是可以達到的嗎因為工程的他的特性是到年底的時候他會比較大部分的一個付款的一個動作其他的他的工作期限是到年底的時候他會他的執行的部分會比較多啦因為這個會牽涉到整個
transcript.whisperx[450].start 12447.082
transcript.whisperx[450].end 12475.274
transcript.whisperx[450].text 因為在這個會議 你們雖然有宣布年底可以達標可是沒有說明各個職計畫的進度落差你們有公布瓶頸的清單嗎我們有針對比較落後的一個工程來做列管然後追蹤 來加速他們的執行因為本身看到很多標案都還在審查設計預算也還沒有核定那代表這個執行率很可能只是帳面的數字所以不是實際的開工或是完工
transcript.whisperx[451].start 12476.014
transcript.whisperx[451].end 12494.848
transcript.whisperx[451].text 基本上假設有些是沒辦法在年底之前完成的話他們會以往自己移到別的執行率比較高的工程來執行那因為前瞻的部分到年底就會結束那因為今年那你們現在算的這個達成率是根據核銷金額算的還是實際的開工進度
transcript.whisperx[452].start 12495.379
transcript.whisperx[452].end 12512.969
transcript.whisperx[452].text 依照它實際的執行的進度來去做一個預估來所以是一個預估嗎那你們可不可以在下一次會議的時候公佈各項前瞻計畫它的實際的工程進度對照表因為本期看到你們都只有文字紀錄沒有錯吧目前你們有一個像是儀表版可以來做參照嗎可以 這個可以
transcript.whisperx[453].start 12513.837
transcript.whisperx[453].end 12536.121
transcript.whisperx[453].text 你們可以來做大碼OK那就請在下一次的會議希望你們可以公佈好OK那主委那本行政委你們的工程的效率不只有進度問題那還有透明度的問題那舉例呢因為現在缺乏分享公開看不到哪一些計畫他是執行順利跟哪一些落後還是您剛才這邊有提到都可以看得到嗎
transcript.whisperx[454].start 12540.309
transcript.whisperx[454].end 12564.037
transcript.whisperx[454].text 跟委補充報告 因為基本上我們會做一個大的一個統計那假設針對比較落後指標的工程我們也會在我們的每月的督導匯報去做一個提醒那因為這個 你們是每個月還是每一季我們每個月的督導匯報我們都會做一些列管跟提醒那這些資料當然委員家有需要我們都會提供給委員
transcript.whisperx[455].start 12564.457
transcript.whisperx[455].end 12582.996
transcript.whisperx[455].text OK 好 謝謝繼續我們來看到今天也有很多委員提到就是流標的問題那這幾年公共工程流標的情況越來越多那五年平均每年有4500件那它佔全部標案的一成那大型的建案中那流標超過三次的也有35%
transcript.whisperx[456].start 12584.637
transcript.whisperx[456].end 12613.723
transcript.whisperx[456].text 那主要原因本席有看到營建業他們工會的調查是因為預算落後市場的行情那也有因為勞務跟材料上漲那契約是缺乏彈性的那再來還有驗收還有付款的期程過長現金壓力是比較高的嘛那本席以桃園的台鐵都會區捷運化的地下化工程為例有三個標案CJ11還有14 15嘛到現在都還沒有發包就是最明顯的例子那主委您知道今年截止啊那
transcript.whisperx[457].start 12614.443
transcript.whisperx[457].end 12617.084
transcript.whisperx[457].text 全國有多少標案是有多少標案是流標的請相關主管來說明詳細的數字跟委員報告那我們現在這個有流標的有流標過的案件喔那一年一年
transcript.whisperx[458].start 12644.979
transcript.whisperx[458].end 12645.001
transcript.whisperx[458].text
transcript.whisperx[459].start 12646.755
transcript.whisperx[459].end 12676.187
transcript.whisperx[459].text 跟委員報告就是說我們目前統計順利決標是90%那所以倒過來是10%左右是沒有辦法順利發報 倒過來大概10%那其中因為預算不足的造成的占比你們有掌握多少嗎 包委員這個部分我們是沒有很精確的統計 所以你們沒有一個即時的監測機制不是我們有監測哪些案子目前還在流標但是跟委員報告剛委員提到的這個桃園的這三個案子因為他是屬於軌道系統
transcript.whisperx[460].start 12676.667
transcript.whisperx[460].end 12700.797
transcript.whisperx[460].text 那我只是以桃園這個例子來做舉例那你們是要等各個機關回報你們才知道呢還是你們自己本身就有一個監測的機制我們本身就有這個電子採購網本身就可以看得到目前的招訣標的狀況另外再請教那物價的調整機制那啟動的門檻你們有沒有一個啟動的門檻來了解就是從市場的物價上漲到核准調整平均要多長的時間
transcript.whisperx[461].start 12702.574
transcript.whisperx[461].end 12731.212
transcript.whisperx[461].text 跟委員報告這個我們每個月都有做工程會都有做實際上的物價調物價的訪查所以我們這個時間差基本上沒有沒有很幾乎可能都在一個月裡面都在一個月裡面那本席還是建議你們要設立一個像是來流標的預警系統嗎因為他的流標我們剛才剛才本席有提到是百分之三十百分之三十五嗎那流標次數過多的時候你們可不可以就是主動的來檢討呢
transcript.whisperx[462].start 12732.402
transcript.whisperx[462].end 12741.835
transcript.whisperx[462].text 跟委員報告我們有我們有就是篩選工程採購5000萬以上然後兩次流標的當作我們去輔導對象的這個篩選的武術基礎有一些的確是
transcript.whisperx[463].start 12749.786
transcript.whisperx[463].end 12766.284
transcript.whisperx[463].text 您遇到的基礎是一個浮動的公事嗎不是 就是因為我們隨時都有資料庫所以我們會知道目前流標中的案子然後5000萬以上他流標幾次 這個我們都知道那我們會去挑其中有些比較重要的大家關切的我們去做個案的輔導
transcript.whisperx[464].start 12767.356
transcript.whisperx[464].end 12791.755
transcript.whisperx[464].text 那你們有沒有掌握到市場的總量呢實際上就像捷運我們有掌握到捷運和軌道我們能夠做的廠商大概10家以內那現在的因為各個廠商的這個量就是目前在建工程的這個量都有一定的份量所以我們是有注意到這個未納量有不足的問題
transcript.whisperx[465].start 12792.745
transcript.whisperx[465].end 12817.856
transcript.whisperx[465].text 市長 本身為流標不是市場的問題啦那工程會要主動的去盤點跟檢討為什麼這個流報率那麼高是 我們對 除了委員這個投影片上面的這些那個是我們一般通案性然後針對個別的類別像捷運它就是一個獨特的類別它有專業性還有這個金額高的特性
transcript.whisperx[466].start 12818.456
transcript.whisperx[466].end 12847.255
transcript.whisperx[466].text 那還有廠商少的特性所以這個我們都有掌握到這些狀況那我們也會去調整看跟各機關說哪些可能快做完了可以去邀請哪些廠商來投標OK 好 那主委我們接下來再看到我們近幾年地方工程有出現一個問題嘛有一個現象就一開挖就挖出被棄物的狀況您知道嗎您知道有這樣的現象跟狀況新聞上是 我會看到啦
transcript.whisperx[467].start 12848.756
transcript.whisperx[467].end 12876.172
transcript.whisperx[467].text 那像是我們桃園平鎮的三子頂的松花區 地底下開花的時候就發現23萬立方公尺的垃圾那侵運費 光是侵運費就佔了13.3億元高於原本的預算1.9億那還有發生在桃園龜山社宅還有八德旗艦公園都有類似的情形那造成延宕還有預算追加那工程會的資料也有顯示去年工程 公共工程平均延誤的天數是92天那主要的原因
transcript.whisperx[468].start 12877.032
transcript.whisperx[468].end 12903.391
transcript.whisperx[468].text 場地障礙跟地質不明它是排在前兩名的那現行的地質調查規範你們就只看只看研盤跟結構安全嘛那沒有納入地底廢棄物前世的項目也沒有要求主管機關來針對地底來進行評估或是繳交完整的環境報告那本席想要問喔那全國目前有多少工程因為地底廢棄物然後造成預算增加或是延誤供期主委您有掌握嗎
transcript.whisperx[469].start 12904.676
transcript.whisperx[469].end 12919.261
transcript.whisperx[469].text 就是應該是當年大量的棄置我想這個主管機關他在決定路線或決定場域的時候他們會進行必要的評估至於他有沒有詳細到說
transcript.whisperx[470].start 12921.212
transcript.whisperx[470].end 12941.95
transcript.whisperx[470].text 裡面有也許有文資文資也有可能或是有那麼多廢棄物我想這個不一定每個每個這個採購機關他都做這麼詳盡的調查那當然這個預算會增加預算增加那我想採購機關那必要的時候應該跟承攬的廠商做一些變更
transcript.whisperx[471].start 12943.379
transcript.whisperx[471].end 12954.805
transcript.whisperx[471].text 本來是希望之後可以把它納入就是工程要進行之前先做地底下面的就是有一個是專炭有一個程序專炭希望可以把它納入好嗎
transcript.whisperx[472].start 12957.589
transcript.whisperx[472].end 12984.636
transcript.whisperx[472].text 跟委員報告就是他基本上要看他工程的總列因為我們如果前面性的話恐怕會因為時間的關係不過我們就可以針對針對個案來看好不好OK好謝謝好謝謝邱若驊委員發言完畢現在請王美惠委員王美惠委員王美惠委員不在現在請黃婕委員黃婕委員黃婕委員不在現在請蘇清泉委員蘇清泉委員蘇清泉委員不在現在請張祺凱委員發言
transcript.whisperx[473].start 13015.385
transcript.whisperx[473].end 13018.708
transcript.whisperx[473].text 馬克風有聲音嗎來謝謝主席這個好 請陳主委注意藍納斯
transcript.whisperx[474].start 13041.055
transcript.whisperx[474].end 13060.113
transcript.whisperx[474].text 你是主管工程會是主管機關很感謝我們力爭之下現在把這個包括彰化縣之前這個嘉義市本來只有一個區現在全部都變成列為是災區了讓這個救助可以加速而且很多這個民眾得到應有這個照顧可是我要跟你好好討論一下彰化
transcript.whisperx[475].start 13062.745
transcript.whisperx[475].end 13081.297
transcript.whisperx[475].text 光是彰化本來要列為這個災區依照現行的這個我們這個法制面我搞了兩三個月非常的非常的辛苦你先看中間這個圖一開始彰化縣政府跟很多彰化縣的縣民來陳情發現丹納斯的時候他們受災是嚴重的
transcript.whisperx[476].start 13082.042
transcript.whisperx[476].end 13107.498
transcript.whisperx[476].text 可是呢 只有幾個鄉鎮 特定的這個鄉鎮縣政府也擔心 災民也擔心結果呢 我請工程會還有要求經濟部跟農業部來開會他們一直很堅持說一定要用是分區的爭取一直到 你看一直到9月30號喔 才從善如流其實很簡單的嘛你就用我們當初立法院在訂丹納斯特別條例的時候
transcript.whisperx[477].start 13108.479
transcript.whisperx[477].end 13136.758
transcript.whisperx[477].text 他就明定本條例第六條鎖定了災區不在災害防救法第五十一條規定那個用那個範圍因為他就講那個是我們就是要重塑重寬重減嘛對不對所以所以才立這個辦法嘛所以一開始就應該是要用很寬的這個方式結果呢你們當初連那個什麼整個高雄市有些地方都受災了高雄市只有本來只有內一個區啊只有一個新興區還是說只有一戶
transcript.whisperx[478].start 13137.799
transcript.whisperx[478].end 13153.764
transcript.whisperx[478].text 結果這個光是這樣子公文網訪跟開這個整個這個協調啊搞了一兩個月到最後你看右邊就是最後的左邊這是最後的公告卓議院長後來把這個12個縣市從苗栗台中南投彰化縣
transcript.whisperx[479].start 13155.137
transcript.whisperx[479].end 13179.76
transcript.whisperx[479].text 銀林縣嘉義縣嘉義市台南高雄屏東花蓮跟台東12個全部都放進去我現在跟你討論的是說以後如果有一定特別條例還有嚴重的這個風災的時候請重減跟重寬好不好不要搞這麼久啦好不好這是今天很重要一件事情我們要建立一個制度化而且要以災民為先重建為先跟時間要賽跑第二個
transcript.whisperx[480].start 13181.483
transcript.whisperx[480].end 13205.063
transcript.whisperx[480].text 鋪住啊 這個鋪子市的市長吳品瑞他在陳情 他說這片納粒風災的時候結果那個棒球場 市立棒球場被摧毀了結果竟然找不到送上去沒有一個單位是可以補助的後來我們開了這個協調會內政部 這本來棒球場應該很多人想的應該是
transcript.whisperx[481].start 13206.389
transcript.whisperx[481].end 13227.915
transcript.whisperx[481].text 應該是教育部嘛 教育部說他不在校內內政部國土署說這個好像也不是他的後來還好經過工程會一起進來協調後來就確定了由國土署的核定了384萬去幫助了福祉市的這個棒球場這個要謝謝 成功爭取了可是我要問一個很重要的當然在校內都沒問題嘛 對不對
transcript.whisperx[482].start 13229.42
transcript.whisperx[482].end 13246.56
transcript.whisperx[482].text 主委 以後如果是像棒球場現在運動部又成立了嘛你要出面去協調一下以後如果是有類似棒球場不是在學校 學校以內的以後是專責誰去做輔助 好不好棒球場 棒球場的事情好 另外一個這邊台南叫嘉義啊
transcript.whisperx[483].start 13248.564
transcript.whisperx[483].end 13273.577
transcript.whisperx[483].text 那個整個那個基地台都被摧毀了就出現了很大問題所以我在我們的特別條例的這個通過過程裡面我提了一個主決議我要求要最災害的漫遊機制要把它制度化現在在10月27號我看到你們已經擬出一個這NCC提的啟動行動通信災害漫遊機制這個作業要點
transcript.whisperx[484].start 13275.146
transcript.whisperx[484].end 13297.192
transcript.whisperx[484].text 那這樣以後就會變快了因為這一次 這邊就是 你如果去台南跟嘉義 那段時間大概已經過了兩三個禮拜 三四個禮拜了都還是不通的那實際上就是因為他漫遊有問題嘛台哥大他沒有 基地台被弄壞啦他說要用中華電信的 兩邊溝通不良現在這個辦法有出來了所以在通信這個 你指揮官嘛以後我們就授權指揮官要進去協調
transcript.whisperx[485].start 13298.834
transcript.whisperx[485].end 13326.955
transcript.whisperx[485].text 你看一下那個辦法現在NCC列出來授權災害應變的指揮官要去啟動這個機制然後他們之前就是因為拆帳有問題嘛到底要用哪一家的台哥大已經機器台壞掉了我要去借借這個中華電信的要怎麼拆帳現在我們就明定要求說拆帳這個規範要出來那如果有問題就提醒到NCC去做這個做這個協商更重要的更重要的相關的錢要由中央來付不要讓民眾來付好不好
transcript.whisperx[486].start 13329.306
transcript.whisperx[486].end 13350.425
transcript.whisperx[486].text 這筆經費我們已經有通過了好來最重要一個點那個主委我們當初為了要推動整個這個過程所以我們有明定說特別條例過了兩個月內你要提出整個復原跟重建的這個計畫每個月要把你的復原跟重建進度拖上網對不對
transcript.whisperx[487].start 13353.611
transcript.whisperx[487].end 13379.279
transcript.whisperx[487].text 而且每季啊 要報立法院來備查很棒 對 可是柏定 你看一下我昨天晚上上去看你這個網站這是你的 這是你的重建重建復原計畫嗎總統在什麼時候公告了 公佈了我們這個特別條例通過8月19對不對 今天已經到月13了
transcript.whisperx[488].start 13383.503
transcript.whisperx[488].end 13397.095
transcript.whisperx[488].text 保定這是你們的重建計畫嗎我來瞭解一下因為我沒有看這個你現在就可以上網去看嘛
transcript.whisperx[489].start 13398.664
transcript.whisperx[489].end 13412.621
transcript.whisperx[489].text 這應該不是你的重建計畫吧 你的重建計畫還沒出來還是還沒PO上來如果依照剛剛主委你跟我講 我們剛剛討論的 依照特別條例這個是提案書啦 主委是114年7月嘛 是不是左邊這張嘛
transcript.whisperx[490].start 13414.824
transcript.whisperx[490].end 13443.583
transcript.whisperx[490].text 左邊這一張嘛我現在就是說這個你現在有九大項九大項重建因為現在的重建計畫有些五十三項子計畫已經陸續事實上在執行但是整個會診簽報行政院啦當然會核定啦所以如果說這個有問題我們回去調整九大項五十三個子計畫嘛對不對這個電力是其中的第四項嘛我現在跟你講的就是我們總統已經公告了8月19號
transcript.whisperx[491].start 13445.145
transcript.whisperx[491].end 13455.244
transcript.whisperx[491].text 我們那時候法例裡面明定兩個月內你要把你整個計畫你剛講的那個計畫還要有內容放上來嘛現在就是還沒有這個不是你的計畫 這個很空啊
transcript.whisperx[492].start 13456.38
transcript.whisperx[492].end 13484.639
transcript.whisperx[492].text 你現在應該把你剛剛講那個主委你講你去簽成給這個行政院這個要盡快要放上來要不然我們怎麼監督對不對馬上核定我們就放上去好不好而且速度要加快因為已經晚了一個月了嘛對不對OK 晚了一個月要加快這樣我們才有辦法知道你們的進度篩民 篩民說我這地方要重建復原我要知道進度 立法院要知道那53個子計畫啦對 不能只有這樣這個不是計畫嘛已經晚了一個月了 盡快喔你當時可以站起來嗎
transcript.whisperx[493].start 13486.434
transcript.whisperx[493].end 13506.384
transcript.whisperx[493].text 院核定我們就馬上報上去 什麼時候才會核定我已經報院了 報院了應該有會診啦你要跟印度說嘛 這是法律明定我們剛剛送而已8月19加2個月就是10月19嘛今天已經要過一個月了今天已經10月過了嘛要新款放上來 好不好好 謝謝好 謝謝張祺凱委員 發言完畢
transcript.whisperx[494].start 13509.305
transcript.whisperx[494].end 13512.789
transcript.whisperx[494].text 現在請賴會員委員 賴會員委員不在現在請陳冠廷委員發言請主委
transcript.whisperx[495].start 13537.541
transcript.whisperx[495].end 13558.061
transcript.whisperx[495].text 所以近一点来其实这个风灾水灾各种灾害灾损不断包含震灾都有所以我在关注这些灾害复建的这一个执行成效我觉得有一个系统性的问题那就是说地方政府他申报他的这个复建工程师绝大部分他是恢复原状
transcript.whisperx[496].start 13558.601
transcript.whisperx[496].end 13588.176
transcript.whisperx[496].text 可是很多地點是重複災損就是說我們不斷的在看到同一個地區同一個地點的災損不斷的出現那一座橋可能五年斷三次那同一條路可能年年攤房那代表說我們是在治標當然現行的這個公共設施的復建工程他的執行作業要點裡面他有提到說地方政府在提報時是只要寫這個災損的情形嗎還是他可以要求必須進行災害根本的原因分析
transcript.whisperx[497].start 13592.303
transcript.whisperx[497].end 13592.953
transcript.whisperx[497].text 除非他回答
transcript.whisperx[498].start 13601.201
transcript.whisperx[498].end 13624.291
transcript.whisperx[498].text 就是就災害的這個復建我們傳統的就如同委員講的說回復原狀但是我們現在的標準是回復原來的功能所以回復原來的功能會根據它現在的地質的狀況還有核穿的條件等等去配套那並不是說很呆板的這個就回復原狀謝謝你剛才提到這個問題但是這個問題也在這邊因為我們現在要寫的是
transcript.whisperx[499].start 13628.032
transcript.whisperx[499].end 13655.921
transcript.whisperx[499].text 這些災損的時候我們要要求在災後一個月內提報那災後這一個月內提報如果要達到你的功能恢復的話那我怎麼做水文怎麼做地質分析我只能提告最簡單的方案就是恢復原狀那目前我們得到的資訊如果我有這個資訊上面的落差的話隨時歡迎來糾正我那工程會的審議還是注重在進度管理跟施工的速度所以說如果我們現在要做的是根本改變的話或者是你說功能改變的話
transcript.whisperx[500].start 13657.061
transcript.whisperx[500].end 13666.253
transcript.whisperx[500].text 功能恢復的話那變成說你又要協調上有整治可能會涉及跨部會可能會涉及環評那時間如果拉長可能就變成高風險的案件
transcript.whisperx[501].start 13667.605
transcript.whisperx[501].end 13692.651
transcript.whisperx[501].text 跟委員報告剛剛提到的一個月是我們一個原則但是如果有一些特別的情況或者是這些範圍比較大的時候實際上我們是給他可能一個月他先提報說可能先規劃的費用或者什麼所以會等到規劃設計完了以後再去確認工程費我們還也是有這種機制的好那
transcript.whisperx[502].start 13693.211
transcript.whisperx[502].end 13713.01
transcript.whisperx[502].text 我現在講的是不是我們嘉義是桃園的這個連外的枕頭山的吊橋的那件事件那這個案子是有被監委這個糾正那說他歷時8年那可是花了326萬規劃經費可是到最後他還是沒有辦法解決根本的問題他就是恢復原狀會比較安全那
transcript.whisperx[503].start 13713.942
transcript.whisperx[503].end 13729.192
transcript.whisperx[503].text 我們嘉義有一個叫嘉義肉桶農路它也是有類似的問題它不斷地修那它每年還是會塌但我們現在要根本性地解決這個問題的話那就會花很多的經費跟執行的時程我們是不希望說單純地恢復原狀
transcript.whisperx[504].start 13730.313
transcript.whisperx[504].end 13758.233
transcript.whisperx[504].text 或者是說你說恢復它的功能它就是連外等等可是它只要風雨一來又要再來一次所以有沒有辦法我們來想像一下就是工程會統籌這樣的這種公共工程的重任有沒有辦法我們來解決不是只是單一的工程它的功能恢復而是我們要想的是以任務為導向我們的任務是讓這一個部落可以連外而不是以說我的任務是讓這個橋能夠修復這個部分想請教工程會的看法
transcript.whisperx[505].start 13761.275
transcript.whisperx[505].end 13788.468
transcript.whisperx[505].text 委員說明那既然是災害那就是有時候要搶災搶險先恢復一般的使用那至於整個功能的改變或者是原狀的改變那可能剛剛講的可能需要一些比較長的計畫或者是環評我想那個回歸到正常各部位的本預算那因為搶這個整個災害防救的預算是
transcript.whisperx[506].start 13789.428
transcript.whisperx[506].end 13812.354
transcript.whisperx[506].text 全部是由特統這邊來支出這比較緊急的當然是沒有辦法一次解決問題所以希望回到正常的本預算來處理我今天講這個問題就是說我們當然是支持就是應急先我們救急救災的時候我們都是希望說盡快的有一個方案出來但是我今天講這個問題在於說很多時候是地方政府你說叫他協調各個部會
transcript.whisperx[507].start 13813.294
transcript.whisperx[507].end 13835.431
transcript.whisperx[507].text 他們又要找水利署農業部國土署但有些時候地方政府沒有那個位階來去做整體的協調另外一個就是說有些地方我們剛才提到的種種的基礎建設它根本不適合一直投入資源去修復那一段甚至是我們要想的是說有沒有其他的方式來去整體評估它的長期的成本效益
transcript.whisperx[508].start 13836.151
transcript.whisperx[508].end 13861.581
transcript.whisperx[508].text 你如果說它這個地點它本來就是抑制災案件它本來就是抑被損壞的地方那我們是不是要思考說其他的方式以任務為導向來想說我的任務是要連外那這個地方為什麼每次都會塌陷那是不是表示這個地方不適合建造這個公共工程所以說我們有一個資料庫的話那我們就可以讓每一個案件就是說5年10年的資料彙整出來就是說有這個資料庫我們審議的時候會發現到說這個地方為什麼重複災損
transcript.whisperx[509].start 13864.622
transcript.whisperx[509].end 13879.849
transcript.whisperx[509].text 重複災損不斷的在投入這個金額然後你發現到有一天原來我已經投入了數以百億計在維護這座橋但事實上我乾脆就可以做整體規劃都可以所花費的這個價格還低於重複修復這座橋
transcript.whisperx[510].start 13881.03
transcript.whisperx[510].end 13903.651
transcript.whisperx[510].text 所以說我們在講的這個卓院長講的AI內閣的意思不就是首先要有數據庫資料庫有資料庫之後你才知道警示點說這個地方我們是不是過多的投入資源在治標那我現在要治根本的話我可以發覺到說原來我只要投入這樣子的資本就可以投入整體的這個規劃改建那就是以任務為導向那這個地方是給一個建議那是因為
transcript.whisperx[511].start 13904.432
transcript.whisperx[511].end 13918.004
transcript.whisperx[511].text 我自己不是土木工程的專家但是是有很多地方的這一個人士來包含這一些相關的土木技師是有跟我們建議這樣子你的意見非常好我們會遵照這個意見來
transcript.whisperx[512].start 13920.086
transcript.whisperx[512].end 13935.163
transcript.whisperx[512].text 由跟組總或其他各部會在他執行這種天然災害救治的時候他相關的這個累積的數據累積的預算 累積的工法能不能定期做一個檢討
transcript.whisperx[513].start 13936.144
transcript.whisperx[513].end 13961.896
transcript.whisperx[513].text 有些易淹水低積或易崩塌地區是否一定要每一次的這樣去恢復原狀為主應該長期來看這個我們會再協調各部會來就是請工程就不只是恢復原狀從根本上面來把這個基礎建設把它完成就是任務為導向我就是要讓他出去年外那或許不是這一個道路或許是有其他的方式或許是有其他的工法這樣子好謝謝
transcript.whisperx[514].start 13964.861
transcript.whisperx[514].end 13990.67
transcript.whisperx[514].text 好謝謝陳冠廷委員發言完畢現在請邱志偉委員邱志偉委員邱志偉委員不在現在請楊瓊英委員楊瓊英委員楊瓊英委員不在現在請林楚英委員林楚英委員林楚英委員不在現在請鍾嘉斌委員鍾嘉斌委員鍾嘉斌委員不在現在請游皓委員游皓委員游皓委員不在現在請葉元之委員發言
transcript.whisperx[515].start 14005.273
transcript.whisperx[515].end 14032.04
transcript.whisperx[515].text 主席好 麻煩請主委 謝謝 請陳主委委員好 主委好因為主委您是統籌丹納斯颱風以及728豪雨災後的復原重建工作嘛那我先問你一個問題啦 您覺得那個時候成立雲嘉南復原的前進指揮所的時間 您認為會不會太慢
transcript.whisperx[516].start 14033.217
transcript.whisperx[516].end 14055.211
transcript.whisperx[516].text 我跟文說明就災害防救法在搶災救災的時候那有一個前進指揮所那我們這個前進指揮所是災後復原我知道 問題是那個時候因為有很多長輩啊說要去那個掛帆布啊那時候總統去看就說要自己爬什麼的其實那個時候他們就已經有這個需求了嘛
transcript.whisperx[517].start 14055.751
transcript.whisperx[517].end 14079.72
transcript.whisperx[517].text 然後一直到後來的時候才開始說要卓院長才說要加速然後才說要媒合營建廠商這個是災後復原我知道我現在講的就是災後復原我現在就是在講災後復原譬如說屋頂被吹走災後復原一定是災後才去復原所以你認為隔了一個月去復原的時間在主委的專業認定你覺得是剛剛好的
transcript.whisperx[518].start 14081.84
transcript.whisperx[518].end 14103.037
transcript.whisperx[518].text 好 沒關係啦 你就跟那些災民就大家知道一下政府的態度嘛你覺得這個時間是剛剛好的所以大家沒有屋頂 你就自己想辦法去掛帆布這個都是媒體報導 不一定是真實所以媒體 你是講哪一個媒體報導不真實哪一件事情不真實這個有很多報導是不真實的現在大家在檢討那個災後復原的速度
transcript.whisperx[519].start 14104.301
transcript.whisperx[519].end 14125.188
transcript.whisperx[519].text 當然搶災優先當然最好是能夠同時搶災同時復原可是如果沒有辦法的話我們去成立災後復原指揮所到10月底結束已經媒合了很多那是後來嗎人家風災是7月多發生的後來本來復原本來就是後來對不要歪樓我講的是速度我講的是時勤
transcript.whisperx[520].start 14126.488
transcript.whisperx[520].end 14140.343
transcript.whisperx[520].text 對啊 你不是 你講十月底我講的是七月的事你跟我講到十月因為七月發生的七月發生的風災七月發生的風災你跟我說十月完成很多那你就不夠那個苦民所苦啊
transcript.whisperx[521].start 14143.526
transcript.whisperx[521].end 14159.432
transcript.whisperx[521].text 對於災民而言他當然希望速度越快越好我沒有問你十月底嘛我現在問你七月之後要多久成立復原指揮所嘛那是搶災嘛我現在講的是復原當然嘛 但是時間嘛你到底是
transcript.whisperx[522].start 14165.794
transcript.whisperx[522].end 14182.365
transcript.whisperx[522].text 不會太慢所以一個月成立不會太慢我們是從前復原不是不是前進不是因為第一個因為我看你的報告你其中有個業務你也要負責比如說他屋頂如果被吹走了然後你們要幫他復原嘛煤河嘛這也是你的業務之一嘛對不對沒錯吧
transcript.whisperx[523].start 14183.986
transcript.whisperx[523].end 14205.696
transcript.whisperx[523].text 這個我們下去沒和這個屋頂受損的然後營造廠商去來修繕所以當然這個速度當然是第一個嘛但沒關係我們就看你的態度我覺得太慢但你如果你覺得ok的我到10月底完成那麼多件已經覺得很滿意了我覺得我是覺得速度太慢但是因為您是主委所以我就
transcript.whisperx[524].start 14206.616
transcript.whisperx[524].end 14230.185
transcript.whisperx[524].text 那個您講什麼大家看在眼裡啦但我想問一下台南市因為最近最近又有其他颱風鳳凰颱風來我發現很多台南市的災民很緊張因為他們到現在屋頂都還沒有恢復還是該反撲然後根據數據這個說詞也太誇張了我還沒有講完不用緊張那根據那個數據顯示大概台南市講法是說當時是有四萬七千
transcript.whisperx[525].start 14231.866
transcript.whisperx[525].end 14242.861
transcript.whisperx[525].text 800戶是有那個屋頂需要修繕那現在已經完成九成了那因為各種原因所以到目前為止還沒有還沒有修繕完畢那主委你有掌握那個原因是什麼嗎
transcript.whisperx[526].start 14244.912
transcript.whisperx[526].end 14269.286
transcript.whisperx[526].text 沒有住在那裡 有的是倉庫 領了未住均他暫時不需要居住 有的是產權的問題我們每一個區公所一戶一戶去詢問你有沒有需要媒合修繕你如果不需要就簽名 整個調查的清清楚楚所以按照你的說法是那一層現在沒有修繕的是因為他有簽結書 各種原因嗎有各種原因 並不是政府不盡力
transcript.whisperx[527].start 14270.367
transcript.whisperx[527].end 14292.113
transcript.whisperx[527].text 但我也是有看到災民就是在媒體上面講說你又說媒體媒體能夠是真實的嗎百分之百真實的嗎那你去跟NC檢舉嘛我跟你講說我們每一戶都去問過了嘛那就是有災民就是說沒有嘛我們就每一戶都去問過了嘛那他可能有原因但你就是要去跟他談啊你不是說你簽結你有住在這邊我們就是每一戶都去問他
transcript.whisperx[528].start 14293.633
transcript.whisperx[528].end 14319.658
transcript.whisperx[528].text 那我問你一種狀況 如果他就是住在那邊但他不知道什麼原因 因為我有看到一些原因啊他什麼長輩生病不宜動工啊 或者是他要指定工班啊像類似這種就是拖延嘛可是在這種情況之下 工程會是允許的嗎就說好 那你說不要就不要 就讓他這樣然後等到下一次風再來 屋頂整個被吹走你們是允許這樣的狀態嗎不是允許不允許 這個是修繕
transcript.whisperx[529].start 14320.658
transcript.whisperx[529].end 14344.823
transcript.whisperx[529].text 是契約 民間的契約關係你是民宅 然後有一個公班要來做政府不能強迫你說一定要給這個公班做啊我知道不能強迫 但是在溝通上面不是說我覺得溝通上不是講說他哪一些原因然後就好好好你簽人 那到時候出事你自己負責不是用這種態度 而是說要跟他講清楚說現在極端氣候常常會有
transcript.whisperx[530].start 14345.603
transcript.whisperx[530].end 14369.177
transcript.whisperx[530].text 一些狀況 要勸說他趕快 勸說他趕快弄否則的話 沒有人料得到11月還會有提供來台南市政府的區公所的員工非常辛苦 每一戶都去問但是還是要去溝通啦 因為到目前為止 七月到現在還有一層那有一些是還有住在那邊的那我覺得還是要去溝通啦我覺得還是要去溝通 不是說你簽了協議書就不理你這樣子
transcript.whisperx[531].start 14370.114
transcript.whisperx[531].end 14397.458
transcript.whisperx[531].text 然後再來喔 這個竹瑞寧是監管那個水利署嘛我剛剛有看你對媒體的發言啦 你說水利署非常認真到昨天晚上已經加速完工去把那個那個村長說是開口啦 水利署說不是開口啦那個叫做堤防沒有蓋到那邊啦 本來就沒有堤防啦但不管怎麼樣那邊有個洞是事實嘛 對吧然後水也是從那個地方溢流過來的嘛
transcript.whisperx[532].start 14398.274
transcript.whisperx[532].end 14409.271
transcript.whisperx[532].text 那村長在7月、9月以及11月10號都有跟水利署說那個洞可能有危險因為蘇郡河道跟河床是平行的水可能會從那邊過來
transcript.whisperx[533].start 14410.832
transcript.whisperx[533].end 14436.551
transcript.whisperx[533].text 結果11月10號那時候水利署去會刊跟村長說雖然你放心啦不會有問題就最後真的有問題但我不知道主委你的態度是什麼因為到目前為止你是講水利署很認真我沒有說他們不認真他們確實很認真昨天晚上把它處理好但問題是淹水是來不及啦已經淹了啦你淹完之後才處理好有什麼用那這件事情主委怎麼看
transcript.whisperx[534].start 14438.552
transcript.whisperx[534].end 14460.912
transcript.whisperx[534].text 這個馬太安溪的北側鳳林跟萬榮這個地形都不用再解釋我現在是講說因為現在關鍵是就是跟地形有關我現在講的是那個洞沒有補那裡也沒有洞因為地形比較高堤防沒有坐到那一邊嘛對我剛剛有講現在河床很高河床跟堤防一樣高所以雨多一點任何一個地方都會溢流
transcript.whisperx[535].start 14461.072
transcript.whisperx[535].end 14478.126
transcript.whisperx[535].text 所以你認為說水利署所以目前最最要緊的就趕快紓進而且要大量長期的紓進我現在在講說我現在是在講說到底這個事情水利署有沒有責任水利署長也有道歉了跟村長道歉畫面大家都看到你也不會講說那也是新聞也是錯的吧
transcript.whisperx[536].start 14478.926
transcript.whisperx[536].end 14490.079
transcript.whisperx[536].text 然後村長也不但提醒說那邊有個洞 不管是堤防沒做到那邊也好改天我請委員到現場看一看 你就知道當場地形是怎麼樣嘛那你本來就比較高的地方嘛一定跟地形有關嘛水利署長道歉的原因是什麼
transcript.whisperx[537].start 14493.883
transcript.whisperx[537].end 14518.996
transcript.whisperx[537].text 那水域署長就要你的態度就好啦 用你的方式去嗆村長就好啦那你就去嗆村長啊 你跟村長道歉幹嘛那你為什麼要跟村長道歉村長一直提醒說這個地方要補 他沒有補 所以他道歉那主委你認為沒問題啊 還要叫村長去看地形啊用這種高傲的態度去嗆村長就好那水域署長為什麼要道歉嘛那今天水域署長道歉 代表一定是有一些因做沒做的嘛
transcript.whisperx[538].start 14520.476
transcript.whisperx[538].end 14536.465
transcript.whisperx[538].text 但是我看到主委的態度是說水利署很認真我也認為很認真我們現在講的是事前的預防的部分嘛你的態度是什麼嘛那你的態度是什麼嘛就是用嗆的所以你要去看那個地區才會知道嘛那水利署長道歉的原因是什麼那水利署長道歉的原因是什麼
transcript.whisperx[539].start 14539.795
transcript.whisperx[539].end 14550.701
transcript.whisperx[539].text 他整個地方淹水他是主管機關第一淹到一戶他就要道歉淹到兩戶他就要道歉所以他道歉不是因為他因作為作是因為只要有淹水他就道歉
transcript.whisperx[540].start 14552.062
transcript.whisperx[540].end 14570.081
transcript.whisperx[540].text 不是因作為作好不好所以他是因為有淹水就要道歉是不是標準就是有淹水水一爽就會道歉他要道歉的原因是因為是因為有人受苦所以道歉是這樣嗎整個淹水啊跟地形跟狀況都有關我不接受你這種
transcript.whisperx[541].start 14570.822
transcript.whisperx[541].end 14590.739
transcript.whisperx[541].text 我知道有關啊 我們現在講的是我們現在講的是說到底有沒有應做未做的事情嘛您是去扯那些幹嘛 略行當然都有關啊但是如果把那個缺口就是堤防沒做好部分如果可以補齊的話會不會不造成淹水右邊比較高 他本來不需要做堤防的啊我沒有說不做堤防你一直問東答西你一直問東答西
transcript.whisperx[542].start 14595.7
transcript.whisperx[542].end 14620.874
transcript.whisperx[542].text 我也多尊重委員的發言那葉委員時間是6分鐘也超過3分鐘也將近9分鐘那我也多尊重委員的發言內容我要是請工程會將相關地形的這個問題啊來具體的來向葉委員做報告再請相關的官員來跟葉委員做個報告也請這個在委員會
transcript.whisperx[543].start 14624.278
transcript.whisperx[543].end 14647.723
transcript.whisperx[543].text 答詢或者是質詢必須要尊重對方那今天這個時間我想也給葉委員充分的時間了我也請工程會來將相關的這個地形以及相關葉委員認為有爭議的地方必須清楚的來做說明會後來做清楚的說明那葉委員是否可以謝謝 謝主席謝謝葉委員質詢完畢
transcript.whisperx[544].start 14651.84
transcript.whisperx[544].end 14677.25
transcript.whisperx[544].text 那登記諮詢委員均與發言完畢做以下決定 已報告及詢討完畢委員您處於內會員U號所提書面諮詢列入紀錄並刊登公報委員於諮詢中要求提供相關書面資料或未及答覆部分請行政院公共工程委員會盡速與書面答覆本日會議結束散會
transcript.whisperx[545].start 14694.155
transcript.whisperx[545].end 14695.759
transcript.whisperx[545].text 響鐘