video_url |
https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/cbbd4ed0b5fcd3a0f5bf31e53d7c13d0bcf3abe3f08651b6083084566cc2bdb4888b0cb6d87c7e465ea18f28b6918d91.mp4/playlist.m3u8 |
會議時間 |
2024-11-05T18:00:00+08:00 |
會議名稱 |
立法院黨團協商(事由:議案協商) |
委員名稱 |
完整會議 |
影片長度 |
6082 |
委員發言時間 |
17:40:38 - 19:22:00 |
transcript.pyannote[0].speaker |
SPEAKER_04 |
transcript.pyannote[0].start |
361.96596875 |
transcript.pyannote[0].end |
362.03346875 |
transcript.pyannote[1].speaker |
SPEAKER_03 |
transcript.pyannote[1].start |
1331.24909375 |
transcript.pyannote[1].end |
1334.60721875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
1332.53159375 |
transcript.pyannote[2].end |
1332.70034375 |
transcript.pyannote[3].speaker |
SPEAKER_04 |
transcript.pyannote[3].start |
1332.70034375 |
transcript.pyannote[3].end |
1332.80159375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
1332.80159375 |
transcript.pyannote[4].end |
1333.08846875 |
transcript.pyannote[5].speaker |
SPEAKER_04 |
transcript.pyannote[5].start |
1335.97409375 |
transcript.pyannote[5].end |
1336.02471875 |
transcript.pyannote[6].speaker |
SPEAKER_03 |
transcript.pyannote[6].start |
1337.29034375 |
transcript.pyannote[6].end |
1339.45034375 |
transcript.pyannote[7].speaker |
SPEAKER_03 |
transcript.pyannote[7].start |
1339.97346875 |
transcript.pyannote[7].end |
1340.02409375 |
transcript.pyannote[8].speaker |
SPEAKER_03 |
transcript.pyannote[8].start |
1341.40784375 |
transcript.pyannote[8].end |
1342.43721875 |
transcript.pyannote[9].speaker |
SPEAKER_03 |
transcript.pyannote[9].start |
1342.52159375 |
transcript.pyannote[9].end |
1342.85909375 |
transcript.pyannote[10].speaker |
SPEAKER_03 |
transcript.pyannote[10].start |
1343.09534375 |
transcript.pyannote[10].end |
1343.73659375 |
transcript.pyannote[11].speaker |
SPEAKER_03 |
transcript.pyannote[11].start |
1345.01909375 |
transcript.pyannote[11].end |
1347.55034375 |
transcript.pyannote[12].speaker |
SPEAKER_03 |
transcript.pyannote[12].start |
1347.87096875 |
transcript.pyannote[12].end |
1361.03346875 |
transcript.pyannote[13].speaker |
SPEAKER_03 |
transcript.pyannote[13].start |
1361.25284375 |
transcript.pyannote[13].end |
1361.84346875 |
transcript.pyannote[14].speaker |
SPEAKER_03 |
transcript.pyannote[14].start |
1362.38346875 |
transcript.pyannote[14].end |
1364.59409375 |
transcript.pyannote[15].speaker |
SPEAKER_03 |
transcript.pyannote[15].start |
1364.89784375 |
transcript.pyannote[15].end |
1366.21409375 |
transcript.pyannote[16].speaker |
SPEAKER_03 |
transcript.pyannote[16].start |
1366.51784375 |
transcript.pyannote[16].end |
1369.48784375 |
transcript.pyannote[17].speaker |
SPEAKER_03 |
transcript.pyannote[17].start |
1371.74909375 |
transcript.pyannote[17].end |
1387.40909375 |
transcript.pyannote[18].speaker |
SPEAKER_03 |
transcript.pyannote[18].start |
1387.57784375 |
transcript.pyannote[18].end |
1390.98659375 |
transcript.pyannote[19].speaker |
SPEAKER_03 |
transcript.pyannote[19].start |
1391.30721875 |
transcript.pyannote[19].end |
1397.46659375 |
transcript.pyannote[20].speaker |
SPEAKER_08 |
transcript.pyannote[20].start |
1398.31034375 |
transcript.pyannote[20].end |
1427.35221875 |
transcript.pyannote[21].speaker |
SPEAKER_08 |
transcript.pyannote[21].start |
1427.63909375 |
transcript.pyannote[21].end |
1431.14909375 |
transcript.pyannote[22].speaker |
SPEAKER_08 |
transcript.pyannote[22].start |
1431.21659375 |
transcript.pyannote[22].end |
1433.51159375 |
transcript.pyannote[23].speaker |
SPEAKER_08 |
transcript.pyannote[23].start |
1434.00096875 |
transcript.pyannote[23].end |
1439.68784375 |
transcript.pyannote[24].speaker |
SPEAKER_08 |
transcript.pyannote[24].start |
1440.04221875 |
transcript.pyannote[24].end |
1445.79659375 |
transcript.pyannote[25].speaker |
SPEAKER_08 |
transcript.pyannote[25].start |
1446.16784375 |
transcript.pyannote[25].end |
1446.52221875 |
transcript.pyannote[26].speaker |
SPEAKER_08 |
transcript.pyannote[26].start |
1446.67409375 |
transcript.pyannote[26].end |
1449.07034375 |
transcript.pyannote[27].speaker |
SPEAKER_08 |
transcript.pyannote[27].start |
1449.20534375 |
transcript.pyannote[27].end |
1454.33534375 |
transcript.pyannote[28].speaker |
SPEAKER_08 |
transcript.pyannote[28].start |
1454.63909375 |
transcript.pyannote[28].end |
1459.11096875 |
transcript.pyannote[29].speaker |
SPEAKER_08 |
transcript.pyannote[29].start |
1459.38096875 |
transcript.pyannote[29].end |
1460.78159375 |
transcript.pyannote[30].speaker |
SPEAKER_08 |
transcript.pyannote[30].start |
1461.18659375 |
transcript.pyannote[30].end |
1464.22409375 |
transcript.pyannote[31].speaker |
SPEAKER_08 |
transcript.pyannote[31].start |
1464.47721875 |
transcript.pyannote[31].end |
1465.38846875 |
transcript.pyannote[32].speaker |
SPEAKER_08 |
transcript.pyannote[32].start |
1465.54034375 |
transcript.pyannote[32].end |
1468.67909375 |
transcript.pyannote[33].speaker |
SPEAKER_08 |
transcript.pyannote[33].start |
1468.78034375 |
transcript.pyannote[33].end |
1470.87284375 |
transcript.pyannote[34].speaker |
SPEAKER_08 |
transcript.pyannote[34].start |
1471.29471875 |
transcript.pyannote[34].end |
1472.37471875 |
transcript.pyannote[35].speaker |
SPEAKER_08 |
transcript.pyannote[35].start |
1472.67846875 |
transcript.pyannote[35].end |
1477.58909375 |
transcript.pyannote[36].speaker |
SPEAKER_08 |
transcript.pyannote[36].start |
1477.97721875 |
transcript.pyannote[36].end |
1492.38846875 |
transcript.pyannote[37].speaker |
SPEAKER_08 |
transcript.pyannote[37].start |
1492.45596875 |
transcript.pyannote[37].end |
1496.25284375 |
transcript.pyannote[38].speaker |
SPEAKER_08 |
transcript.pyannote[38].start |
1496.40471875 |
transcript.pyannote[38].end |
1497.68721875 |
transcript.pyannote[39].speaker |
SPEAKER_08 |
transcript.pyannote[39].start |
1497.94034375 |
transcript.pyannote[39].end |
1503.10409375 |
transcript.pyannote[40].speaker |
SPEAKER_08 |
transcript.pyannote[40].start |
1503.28971875 |
transcript.pyannote[40].end |
1504.92659375 |
transcript.pyannote[41].speaker |
SPEAKER_08 |
transcript.pyannote[41].start |
1505.12909375 |
transcript.pyannote[41].end |
1518.52784375 |
transcript.pyannote[42].speaker |
SPEAKER_08 |
transcript.pyannote[42].start |
1518.81471875 |
transcript.pyannote[42].end |
1528.18034375 |
transcript.pyannote[43].speaker |
SPEAKER_03 |
transcript.pyannote[43].start |
1528.43346875 |
transcript.pyannote[43].end |
1531.23471875 |
transcript.pyannote[44].speaker |
SPEAKER_03 |
transcript.pyannote[44].start |
1533.24284375 |
transcript.pyannote[44].end |
1534.37346875 |
transcript.pyannote[45].speaker |
SPEAKER_10 |
transcript.pyannote[45].start |
1534.33971875 |
transcript.pyannote[45].end |
1535.75721875 |
transcript.pyannote[46].speaker |
SPEAKER_10 |
transcript.pyannote[46].start |
1536.49971875 |
transcript.pyannote[46].end |
1537.78221875 |
transcript.pyannote[47].speaker |
SPEAKER_10 |
transcript.pyannote[47].start |
1539.25034375 |
transcript.pyannote[47].end |
1626.02159375 |
transcript.pyannote[48].speaker |
SPEAKER_03 |
transcript.pyannote[48].start |
1626.27471875 |
transcript.pyannote[48].end |
1630.72971875 |
transcript.pyannote[49].speaker |
SPEAKER_03 |
transcript.pyannote[49].start |
1631.80971875 |
transcript.pyannote[49].end |
1632.28221875 |
transcript.pyannote[50].speaker |
SPEAKER_12 |
transcript.pyannote[50].start |
1632.28221875 |
transcript.pyannote[50].end |
1632.31596875 |
transcript.pyannote[51].speaker |
SPEAKER_12 |
transcript.pyannote[51].start |
1632.94034375 |
transcript.pyannote[51].end |
1633.85159375 |
transcript.pyannote[52].speaker |
SPEAKER_03 |
transcript.pyannote[52].start |
1633.85159375 |
transcript.pyannote[52].end |
1633.88534375 |
transcript.pyannote[53].speaker |
SPEAKER_12 |
transcript.pyannote[53].start |
1633.88534375 |
transcript.pyannote[53].end |
1633.96971875 |
transcript.pyannote[54].speaker |
SPEAKER_12 |
transcript.pyannote[54].start |
1635.69096875 |
transcript.pyannote[54].end |
1640.50034375 |
transcript.pyannote[55].speaker |
SPEAKER_12 |
transcript.pyannote[55].start |
1640.87159375 |
transcript.pyannote[55].end |
1642.54221875 |
transcript.pyannote[56].speaker |
SPEAKER_12 |
transcript.pyannote[56].start |
1643.33534375 |
transcript.pyannote[56].end |
1643.97659375 |
transcript.pyannote[57].speaker |
SPEAKER_12 |
transcript.pyannote[57].start |
1644.63471875 |
transcript.pyannote[57].end |
1646.18721875 |
transcript.pyannote[58].speaker |
SPEAKER_12 |
transcript.pyannote[58].start |
1647.73971875 |
transcript.pyannote[58].end |
1648.83659375 |
transcript.pyannote[59].speaker |
SPEAKER_12 |
transcript.pyannote[59].start |
1649.47784375 |
transcript.pyannote[59].end |
1650.91221875 |
transcript.pyannote[60].speaker |
SPEAKER_12 |
transcript.pyannote[60].start |
1651.99221875 |
transcript.pyannote[60].end |
1653.35909375 |
transcript.pyannote[61].speaker |
SPEAKER_12 |
transcript.pyannote[61].start |
1653.83159375 |
transcript.pyannote[61].end |
1654.92846875 |
transcript.pyannote[62].speaker |
SPEAKER_12 |
transcript.pyannote[62].start |
1655.51909375 |
transcript.pyannote[62].end |
1656.10971875 |
transcript.pyannote[63].speaker |
SPEAKER_12 |
transcript.pyannote[63].start |
1656.41346875 |
transcript.pyannote[63].end |
1657.47659375 |
transcript.pyannote[64].speaker |
SPEAKER_12 |
transcript.pyannote[64].start |
1658.70846875 |
transcript.pyannote[64].end |
1660.26096875 |
transcript.pyannote[65].speaker |
SPEAKER_12 |
transcript.pyannote[65].start |
1661.49284375 |
transcript.pyannote[65].end |
1663.43346875 |
transcript.pyannote[66].speaker |
SPEAKER_12 |
transcript.pyannote[66].start |
1664.69909375 |
transcript.pyannote[66].end |
1665.18846875 |
transcript.pyannote[67].speaker |
SPEAKER_12 |
transcript.pyannote[67].start |
1665.99846875 |
transcript.pyannote[67].end |
1666.90971875 |
transcript.pyannote[68].speaker |
SPEAKER_12 |
transcript.pyannote[68].start |
1667.38221875 |
transcript.pyannote[68].end |
1668.69846875 |
transcript.pyannote[69].speaker |
SPEAKER_12 |
transcript.pyannote[69].start |
1669.13721875 |
transcript.pyannote[69].end |
1669.62659375 |
transcript.pyannote[70].speaker |
SPEAKER_12 |
transcript.pyannote[70].start |
1671.11159375 |
transcript.pyannote[70].end |
1672.59659375 |
transcript.pyannote[71].speaker |
SPEAKER_12 |
transcript.pyannote[71].start |
1673.57534375 |
transcript.pyannote[71].end |
1675.17846875 |
transcript.pyannote[72].speaker |
SPEAKER_12 |
transcript.pyannote[72].start |
1676.12346875 |
transcript.pyannote[72].end |
1677.32159375 |
transcript.pyannote[73].speaker |
SPEAKER_12 |
transcript.pyannote[73].start |
1677.97971875 |
transcript.pyannote[73].end |
1678.82346875 |
transcript.pyannote[74].speaker |
SPEAKER_12 |
transcript.pyannote[74].start |
1679.36346875 |
transcript.pyannote[74].end |
1680.27471875 |
transcript.pyannote[75].speaker |
SPEAKER_12 |
transcript.pyannote[75].start |
1681.13534375 |
transcript.pyannote[75].end |
1681.92846875 |
transcript.pyannote[76].speaker |
SPEAKER_12 |
transcript.pyannote[76].start |
1682.14784375 |
transcript.pyannote[76].end |
1683.19409375 |
transcript.pyannote[77].speaker |
SPEAKER_12 |
transcript.pyannote[77].start |
1684.37534375 |
transcript.pyannote[77].end |
1685.37096875 |
transcript.pyannote[78].speaker |
SPEAKER_12 |
transcript.pyannote[78].start |
1686.14721875 |
transcript.pyannote[78].end |
1687.39596875 |
transcript.pyannote[79].speaker |
SPEAKER_12 |
transcript.pyannote[79].start |
1688.96534375 |
transcript.pyannote[79].end |
1690.43346875 |
transcript.pyannote[80].speaker |
SPEAKER_12 |
transcript.pyannote[80].start |
1691.02409375 |
transcript.pyannote[80].end |
1692.74534375 |
transcript.pyannote[81].speaker |
SPEAKER_12 |
transcript.pyannote[81].start |
1693.74096875 |
transcript.pyannote[81].end |
1695.17534375 |
transcript.pyannote[82].speaker |
SPEAKER_12 |
transcript.pyannote[82].start |
1696.06971875 |
transcript.pyannote[82].end |
1697.60534375 |
transcript.pyannote[83].speaker |
SPEAKER_12 |
transcript.pyannote[83].start |
1698.83721875 |
transcript.pyannote[83].end |
1700.18721875 |
transcript.pyannote[84].speaker |
SPEAKER_12 |
transcript.pyannote[84].start |
1701.13221875 |
transcript.pyannote[84].end |
1701.72284375 |
transcript.pyannote[85].speaker |
SPEAKER_12 |
transcript.pyannote[85].start |
1702.29659375 |
transcript.pyannote[85].end |
1703.66346875 |
transcript.pyannote[86].speaker |
SPEAKER_12 |
transcript.pyannote[86].start |
1704.96284375 |
transcript.pyannote[86].end |
1706.17784375 |
transcript.pyannote[87].speaker |
SPEAKER_12 |
transcript.pyannote[87].start |
1707.05534375 |
transcript.pyannote[87].end |
1707.71346875 |
transcript.pyannote[88].speaker |
SPEAKER_12 |
transcript.pyannote[88].start |
1708.77659375 |
transcript.pyannote[88].end |
1710.49784375 |
transcript.pyannote[89].speaker |
SPEAKER_12 |
transcript.pyannote[89].start |
1711.15596875 |
transcript.pyannote[89].end |
1712.67471875 |
transcript.pyannote[90].speaker |
SPEAKER_12 |
transcript.pyannote[90].start |
1713.55221875 |
transcript.pyannote[90].end |
1715.62784375 |
transcript.pyannote[91].speaker |
SPEAKER_12 |
transcript.pyannote[91].start |
1715.84721875 |
transcript.pyannote[91].end |
1718.02409375 |
transcript.pyannote[92].speaker |
SPEAKER_12 |
transcript.pyannote[92].start |
1718.71596875 |
transcript.pyannote[92].end |
1720.58909375 |
transcript.pyannote[93].speaker |
SPEAKER_12 |
transcript.pyannote[93].start |
1721.39909375 |
transcript.pyannote[93].end |
1723.40721875 |
transcript.pyannote[94].speaker |
SPEAKER_12 |
transcript.pyannote[94].start |
1724.40284375 |
transcript.pyannote[94].end |
1727.35596875 |
transcript.pyannote[95].speaker |
SPEAKER_12 |
transcript.pyannote[95].start |
1727.99721875 |
transcript.pyannote[95].end |
1729.75221875 |
transcript.pyannote[96].speaker |
SPEAKER_12 |
transcript.pyannote[96].start |
1730.61284375 |
transcript.pyannote[96].end |
1731.91221875 |
transcript.pyannote[97].speaker |
SPEAKER_12 |
transcript.pyannote[97].start |
1732.72221875 |
transcript.pyannote[97].end |
1735.33784375 |
transcript.pyannote[98].speaker |
SPEAKER_12 |
transcript.pyannote[98].start |
1736.18159375 |
transcript.pyannote[98].end |
1739.80971875 |
transcript.pyannote[99].speaker |
SPEAKER_12 |
transcript.pyannote[99].start |
1740.72096875 |
transcript.pyannote[99].end |
1741.32846875 |
transcript.pyannote[100].speaker |
SPEAKER_12 |
transcript.pyannote[100].start |
1741.83471875 |
transcript.pyannote[100].end |
1743.99471875 |
transcript.pyannote[101].speaker |
SPEAKER_12 |
transcript.pyannote[101].start |
1744.82159375 |
transcript.pyannote[101].end |
1745.36159375 |
transcript.pyannote[102].speaker |
SPEAKER_12 |
transcript.pyannote[102].start |
1746.27284375 |
transcript.pyannote[102].end |
1747.70721875 |
transcript.pyannote[103].speaker |
SPEAKER_12 |
transcript.pyannote[103].start |
1748.68596875 |
transcript.pyannote[103].end |
1749.74909375 |
transcript.pyannote[104].speaker |
SPEAKER_12 |
transcript.pyannote[104].start |
1750.82909375 |
transcript.pyannote[104].end |
1751.90909375 |
transcript.pyannote[105].speaker |
SPEAKER_12 |
transcript.pyannote[105].start |
1752.82034375 |
transcript.pyannote[105].end |
1755.65534375 |
transcript.pyannote[106].speaker |
SPEAKER_12 |
transcript.pyannote[106].start |
1757.14034375 |
transcript.pyannote[106].end |
1759.35096875 |
transcript.pyannote[107].speaker |
SPEAKER_12 |
transcript.pyannote[107].start |
1760.39721875 |
transcript.pyannote[107].end |
1761.07221875 |
transcript.pyannote[108].speaker |
SPEAKER_12 |
transcript.pyannote[108].start |
1762.00034375 |
transcript.pyannote[108].end |
1762.74284375 |
transcript.pyannote[109].speaker |
SPEAKER_12 |
transcript.pyannote[109].start |
1763.51909375 |
transcript.pyannote[109].end |
1764.29534375 |
transcript.pyannote[110].speaker |
SPEAKER_12 |
transcript.pyannote[110].start |
1765.39221875 |
transcript.pyannote[110].end |
1766.13471875 |
transcript.pyannote[111].speaker |
SPEAKER_12 |
transcript.pyannote[111].start |
1766.53971875 |
transcript.pyannote[111].end |
1767.34971875 |
transcript.pyannote[112].speaker |
SPEAKER_12 |
transcript.pyannote[112].start |
1768.71659375 |
transcript.pyannote[112].end |
1770.31971875 |
transcript.pyannote[113].speaker |
SPEAKER_12 |
transcript.pyannote[113].start |
1772.80034375 |
transcript.pyannote[113].end |
1773.62721875 |
transcript.pyannote[114].speaker |
SPEAKER_12 |
transcript.pyannote[114].start |
1774.48784375 |
transcript.pyannote[114].end |
1775.26409375 |
transcript.pyannote[115].speaker |
SPEAKER_12 |
transcript.pyannote[115].start |
1775.53409375 |
transcript.pyannote[115].end |
1776.85034375 |
transcript.pyannote[116].speaker |
SPEAKER_12 |
transcript.pyannote[116].start |
1777.47471875 |
transcript.pyannote[116].end |
1778.20034375 |
transcript.pyannote[117].speaker |
SPEAKER_12 |
transcript.pyannote[117].start |
1779.24659375 |
transcript.pyannote[117].end |
1780.00596875 |
transcript.pyannote[118].speaker |
SPEAKER_12 |
transcript.pyannote[118].start |
1781.05221875 |
transcript.pyannote[118].end |
1782.79034375 |
transcript.pyannote[119].speaker |
SPEAKER_12 |
transcript.pyannote[119].start |
1783.85346875 |
transcript.pyannote[119].end |
1784.54534375 |
transcript.pyannote[120].speaker |
SPEAKER_12 |
transcript.pyannote[120].start |
1785.25409375 |
transcript.pyannote[120].end |
1786.51971875 |
transcript.pyannote[121].speaker |
SPEAKER_12 |
transcript.pyannote[121].start |
1786.99221875 |
transcript.pyannote[121].end |
1788.62909375 |
transcript.pyannote[122].speaker |
SPEAKER_12 |
transcript.pyannote[122].start |
1790.40096875 |
transcript.pyannote[122].end |
1791.41346875 |
transcript.pyannote[123].speaker |
SPEAKER_12 |
transcript.pyannote[123].start |
1791.81846875 |
transcript.pyannote[123].end |
1793.64096875 |
transcript.pyannote[124].speaker |
SPEAKER_12 |
transcript.pyannote[124].start |
1794.28221875 |
transcript.pyannote[124].end |
1794.92346875 |
transcript.pyannote[125].speaker |
SPEAKER_12 |
transcript.pyannote[125].start |
1795.44659375 |
transcript.pyannote[125].end |
1796.69534375 |
transcript.pyannote[126].speaker |
SPEAKER_12 |
transcript.pyannote[126].start |
1797.99471875 |
transcript.pyannote[126].end |
1799.22659375 |
transcript.pyannote[127].speaker |
SPEAKER_12 |
transcript.pyannote[127].start |
1800.72846875 |
transcript.pyannote[127].end |
1802.53409375 |
transcript.pyannote[128].speaker |
SPEAKER_12 |
transcript.pyannote[128].start |
1803.31034375 |
transcript.pyannote[128].end |
1804.20471875 |
transcript.pyannote[129].speaker |
SPEAKER_12 |
transcript.pyannote[129].start |
1805.16659375 |
transcript.pyannote[129].end |
1807.69784375 |
transcript.pyannote[130].speaker |
SPEAKER_12 |
transcript.pyannote[130].start |
1808.17034375 |
transcript.pyannote[130].end |
1809.33471875 |
transcript.pyannote[131].speaker |
SPEAKER_12 |
transcript.pyannote[131].start |
1812.52409375 |
transcript.pyannote[131].end |
1813.60409375 |
transcript.pyannote[132].speaker |
SPEAKER_12 |
transcript.pyannote[132].start |
1814.95409375 |
transcript.pyannote[132].end |
1815.56159375 |
transcript.pyannote[133].speaker |
SPEAKER_12 |
transcript.pyannote[133].start |
1816.38846875 |
transcript.pyannote[133].end |
1817.60346875 |
transcript.pyannote[134].speaker |
SPEAKER_12 |
transcript.pyannote[134].start |
1818.58221875 |
transcript.pyannote[134].end |
1820.75909375 |
transcript.pyannote[135].speaker |
SPEAKER_12 |
transcript.pyannote[135].start |
1822.15971875 |
transcript.pyannote[135].end |
1822.78409375 |
transcript.pyannote[136].speaker |
SPEAKER_12 |
transcript.pyannote[136].start |
1823.89784375 |
transcript.pyannote[136].end |
1825.65284375 |
transcript.pyannote[137].speaker |
SPEAKER_12 |
transcript.pyannote[137].start |
1826.76659375 |
transcript.pyannote[137].end |
1827.81284375 |
transcript.pyannote[138].speaker |
SPEAKER_12 |
transcript.pyannote[138].start |
1828.97721875 |
transcript.pyannote[138].end |
1830.81659375 |
transcript.pyannote[139].speaker |
SPEAKER_12 |
transcript.pyannote[139].start |
1831.64346875 |
transcript.pyannote[139].end |
1833.21284375 |
transcript.pyannote[140].speaker |
SPEAKER_12 |
transcript.pyannote[140].start |
1834.10721875 |
transcript.pyannote[140].end |
1835.99721875 |
transcript.pyannote[141].speaker |
SPEAKER_12 |
transcript.pyannote[141].start |
1836.50346875 |
transcript.pyannote[141].end |
1838.20784375 |
transcript.pyannote[142].speaker |
SPEAKER_12 |
transcript.pyannote[142].start |
1838.95034375 |
transcript.pyannote[142].end |
1839.81096875 |
transcript.pyannote[143].speaker |
SPEAKER_12 |
transcript.pyannote[143].start |
1840.60409375 |
transcript.pyannote[143].end |
1841.44784375 |
transcript.pyannote[144].speaker |
SPEAKER_12 |
transcript.pyannote[144].start |
1842.37596875 |
transcript.pyannote[144].end |
1844.50221875 |
transcript.pyannote[145].speaker |
SPEAKER_12 |
transcript.pyannote[145].start |
1845.07596875 |
transcript.pyannote[145].end |
1847.74221875 |
transcript.pyannote[146].speaker |
SPEAKER_12 |
transcript.pyannote[146].start |
1848.34971875 |
transcript.pyannote[146].end |
1849.68284375 |
transcript.pyannote[147].speaker |
SPEAKER_12 |
transcript.pyannote[147].start |
1850.34096875 |
transcript.pyannote[147].end |
1853.02409375 |
transcript.pyannote[148].speaker |
SPEAKER_12 |
transcript.pyannote[148].start |
1854.28971875 |
transcript.pyannote[148].end |
1856.34846875 |
transcript.pyannote[149].speaker |
SPEAKER_12 |
transcript.pyannote[149].start |
1857.32721875 |
transcript.pyannote[149].end |
1858.33971875 |
transcript.pyannote[150].speaker |
SPEAKER_12 |
transcript.pyannote[150].start |
1858.69409375 |
transcript.pyannote[150].end |
1862.05221875 |
transcript.pyannote[151].speaker |
SPEAKER_12 |
transcript.pyannote[151].start |
1862.30534375 |
transcript.pyannote[151].end |
1863.92534375 |
transcript.pyannote[152].speaker |
SPEAKER_12 |
transcript.pyannote[152].start |
1864.38096875 |
transcript.pyannote[152].end |
1865.44409375 |
transcript.pyannote[153].speaker |
SPEAKER_12 |
transcript.pyannote[153].start |
1866.03471875 |
transcript.pyannote[153].end |
1867.95846875 |
transcript.pyannote[154].speaker |
SPEAKER_12 |
transcript.pyannote[154].start |
1868.85284375 |
transcript.pyannote[154].end |
1869.98346875 |
transcript.pyannote[155].speaker |
SPEAKER_12 |
transcript.pyannote[155].start |
1870.48971875 |
transcript.pyannote[155].end |
1871.85659375 |
transcript.pyannote[156].speaker |
SPEAKER_12 |
transcript.pyannote[156].start |
1872.32909375 |
transcript.pyannote[156].end |
1873.51034375 |
transcript.pyannote[157].speaker |
SPEAKER_12 |
transcript.pyannote[157].start |
1874.16846875 |
transcript.pyannote[157].end |
1874.82659375 |
transcript.pyannote[158].speaker |
SPEAKER_12 |
transcript.pyannote[158].start |
1875.02909375 |
transcript.pyannote[158].end |
1876.56471875 |
transcript.pyannote[159].speaker |
SPEAKER_12 |
transcript.pyannote[159].start |
1877.30721875 |
transcript.pyannote[159].end |
1878.52221875 |
transcript.pyannote[160].speaker |
SPEAKER_12 |
transcript.pyannote[160].start |
1879.21409375 |
transcript.pyannote[160].end |
1880.54721875 |
transcript.pyannote[161].speaker |
SPEAKER_12 |
transcript.pyannote[161].start |
1881.20534375 |
transcript.pyannote[161].end |
1890.04784375 |
transcript.pyannote[162].speaker |
SPEAKER_12 |
transcript.pyannote[162].start |
1891.56659375 |
transcript.pyannote[162].end |
1893.25409375 |
transcript.pyannote[163].speaker |
SPEAKER_12 |
transcript.pyannote[163].start |
1893.70971875 |
transcript.pyannote[163].end |
1895.78534375 |
transcript.pyannote[164].speaker |
SPEAKER_12 |
transcript.pyannote[164].start |
1896.29159375 |
transcript.pyannote[164].end |
1899.54846875 |
transcript.pyannote[165].speaker |
SPEAKER_03 |
transcript.pyannote[165].start |
1901.52284375 |
transcript.pyannote[165].end |
1906.01159375 |
transcript.pyannote[166].speaker |
SPEAKER_03 |
transcript.pyannote[166].start |
1907.29409375 |
transcript.pyannote[166].end |
1908.37409375 |
transcript.pyannote[167].speaker |
SPEAKER_05 |
transcript.pyannote[167].start |
1908.69471875 |
transcript.pyannote[167].end |
1913.20034375 |
transcript.pyannote[168].speaker |
SPEAKER_05 |
transcript.pyannote[168].start |
1913.70659375 |
transcript.pyannote[168].end |
1957.27784375 |
transcript.pyannote[169].speaker |
SPEAKER_05 |
transcript.pyannote[169].start |
1957.53096875 |
transcript.pyannote[169].end |
1969.29284375 |
transcript.pyannote[170].speaker |
SPEAKER_05 |
transcript.pyannote[170].start |
1969.51221875 |
transcript.pyannote[170].end |
1996.44471875 |
transcript.pyannote[171].speaker |
SPEAKER_05 |
transcript.pyannote[171].start |
1996.59659375 |
transcript.pyannote[171].end |
2026.56659375 |
transcript.pyannote[172].speaker |
SPEAKER_05 |
transcript.pyannote[172].start |
2026.70159375 |
transcript.pyannote[172].end |
2033.58659375 |
transcript.pyannote[173].speaker |
SPEAKER_03 |
transcript.pyannote[173].start |
2034.04221875 |
transcript.pyannote[173].end |
2037.14721875 |
transcript.pyannote[174].speaker |
SPEAKER_07 |
transcript.pyannote[174].start |
2043.66096875 |
transcript.pyannote[174].end |
2079.03096875 |
transcript.pyannote[175].speaker |
SPEAKER_07 |
transcript.pyannote[175].start |
2079.18284375 |
transcript.pyannote[175].end |
2152.92659375 |
transcript.pyannote[176].speaker |
SPEAKER_07 |
transcript.pyannote[176].start |
2153.43284375 |
transcript.pyannote[176].end |
2156.60534375 |
transcript.pyannote[177].speaker |
SPEAKER_07 |
transcript.pyannote[177].start |
2156.95971875 |
transcript.pyannote[177].end |
2157.95534375 |
transcript.pyannote[178].speaker |
SPEAKER_07 |
transcript.pyannote[178].start |
2158.30971875 |
transcript.pyannote[178].end |
2161.83659375 |
transcript.pyannote[179].speaker |
SPEAKER_07 |
transcript.pyannote[179].start |
2162.17409375 |
transcript.pyannote[179].end |
2164.67159375 |
transcript.pyannote[180].speaker |
SPEAKER_07 |
transcript.pyannote[180].start |
2164.84034375 |
transcript.pyannote[180].end |
2177.42909375 |
transcript.pyannote[181].speaker |
SPEAKER_07 |
transcript.pyannote[181].start |
2178.00284375 |
transcript.pyannote[181].end |
2206.13346875 |
transcript.pyannote[182].speaker |
SPEAKER_03 |
transcript.pyannote[182].start |
2205.77909375 |
transcript.pyannote[182].end |
2210.03159375 |
transcript.pyannote[183].speaker |
SPEAKER_12 |
transcript.pyannote[183].start |
2211.76971875 |
transcript.pyannote[183].end |
2216.83221875 |
transcript.pyannote[184].speaker |
SPEAKER_12 |
transcript.pyannote[184].start |
2217.11909375 |
transcript.pyannote[184].end |
2222.56971875 |
transcript.pyannote[185].speaker |
SPEAKER_12 |
transcript.pyannote[185].start |
2223.22784375 |
transcript.pyannote[185].end |
2224.44284375 |
transcript.pyannote[186].speaker |
SPEAKER_12 |
transcript.pyannote[186].start |
2224.59471875 |
transcript.pyannote[186].end |
2228.77971875 |
transcript.pyannote[187].speaker |
SPEAKER_12 |
transcript.pyannote[187].start |
2229.55596875 |
transcript.pyannote[187].end |
2230.87221875 |
transcript.pyannote[188].speaker |
SPEAKER_12 |
transcript.pyannote[188].start |
2231.59784375 |
transcript.pyannote[188].end |
2240.91284375 |
transcript.pyannote[189].speaker |
SPEAKER_12 |
transcript.pyannote[189].start |
2241.31784375 |
transcript.pyannote[189].end |
2250.48096875 |
transcript.pyannote[190].speaker |
SPEAKER_12 |
transcript.pyannote[190].start |
2250.63284375 |
transcript.pyannote[190].end |
2254.69971875 |
transcript.pyannote[191].speaker |
SPEAKER_12 |
transcript.pyannote[191].start |
2258.26034375 |
transcript.pyannote[191].end |
2262.31034375 |
transcript.pyannote[192].speaker |
SPEAKER_03 |
transcript.pyannote[192].start |
2262.66471875 |
transcript.pyannote[192].end |
2266.84971875 |
transcript.pyannote[193].speaker |
SPEAKER_03 |
transcript.pyannote[193].start |
2267.25471875 |
transcript.pyannote[193].end |
2272.18221875 |
transcript.pyannote[194].speaker |
SPEAKER_03 |
transcript.pyannote[194].start |
2272.72221875 |
transcript.pyannote[194].end |
2273.44784375 |
transcript.pyannote[195].speaker |
SPEAKER_03 |
transcript.pyannote[195].start |
2274.32534375 |
transcript.pyannote[195].end |
2274.57846875 |
transcript.pyannote[196].speaker |
SPEAKER_03 |
transcript.pyannote[196].start |
2274.81471875 |
transcript.pyannote[196].end |
2276.95784375 |
transcript.pyannote[197].speaker |
SPEAKER_03 |
transcript.pyannote[197].start |
2277.22784375 |
transcript.pyannote[197].end |
2282.03721875 |
transcript.pyannote[198].speaker |
SPEAKER_03 |
transcript.pyannote[198].start |
2282.59409375 |
transcript.pyannote[198].end |
2284.50096875 |
transcript.pyannote[199].speaker |
SPEAKER_03 |
transcript.pyannote[199].start |
2288.26409375 |
transcript.pyannote[199].end |
2289.32721875 |
transcript.pyannote[200].speaker |
SPEAKER_03 |
transcript.pyannote[200].start |
2289.69846875 |
transcript.pyannote[200].end |
2289.79971875 |
transcript.pyannote[201].speaker |
SPEAKER_00 |
transcript.pyannote[201].start |
2289.79971875 |
transcript.pyannote[201].end |
2289.88409375 |
transcript.pyannote[202].speaker |
SPEAKER_03 |
transcript.pyannote[202].start |
2289.88409375 |
transcript.pyannote[202].end |
2289.96846875 |
transcript.pyannote[203].speaker |
SPEAKER_00 |
transcript.pyannote[203].start |
2290.57596875 |
transcript.pyannote[203].end |
2291.80784375 |
transcript.pyannote[204].speaker |
SPEAKER_00 |
transcript.pyannote[204].start |
2292.22971875 |
transcript.pyannote[204].end |
2295.77346875 |
transcript.pyannote[205].speaker |
SPEAKER_00 |
transcript.pyannote[205].start |
2295.87471875 |
transcript.pyannote[205].end |
2301.13971875 |
transcript.pyannote[206].speaker |
SPEAKER_00 |
transcript.pyannote[206].start |
2301.32534375 |
transcript.pyannote[206].end |
2304.22784375 |
transcript.pyannote[207].speaker |
SPEAKER_00 |
transcript.pyannote[207].start |
2304.61596875 |
transcript.pyannote[207].end |
2305.17284375 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
2305.59471875 |
transcript.pyannote[208].end |
2306.25284375 |
transcript.pyannote[209].speaker |
SPEAKER_00 |
transcript.pyannote[209].start |
2306.75909375 |
transcript.pyannote[209].end |
2311.82159375 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
2312.27721875 |
transcript.pyannote[210].end |
2312.47971875 |
transcript.pyannote[211].speaker |
SPEAKER_00 |
transcript.pyannote[211].start |
2312.91846875 |
transcript.pyannote[211].end |
2314.06596875 |
transcript.pyannote[212].speaker |
SPEAKER_00 |
transcript.pyannote[212].start |
2314.50471875 |
transcript.pyannote[212].end |
2319.02721875 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
2319.70221875 |
transcript.pyannote[213].end |
2322.87471875 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
2323.07721875 |
transcript.pyannote[214].end |
2323.24596875 |
transcript.pyannote[215].speaker |
SPEAKER_00 |
transcript.pyannote[215].start |
2323.70159375 |
transcript.pyannote[215].end |
2327.73471875 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
2328.22409375 |
transcript.pyannote[216].end |
2329.97909375 |
transcript.pyannote[217].speaker |
SPEAKER_00 |
transcript.pyannote[217].start |
2330.29971875 |
transcript.pyannote[217].end |
2333.50596875 |
transcript.pyannote[218].speaker |
SPEAKER_00 |
transcript.pyannote[218].start |
2333.92784375 |
transcript.pyannote[218].end |
2338.04534375 |
transcript.pyannote[219].speaker |
SPEAKER_00 |
transcript.pyannote[219].start |
2338.48409375 |
transcript.pyannote[219].end |
2340.30659375 |
transcript.pyannote[220].speaker |
SPEAKER_00 |
transcript.pyannote[220].start |
2341.01534375 |
transcript.pyannote[220].end |
2342.97284375 |
transcript.pyannote[221].speaker |
SPEAKER_00 |
transcript.pyannote[221].start |
2343.37784375 |
transcript.pyannote[221].end |
2350.34721875 |
transcript.pyannote[222].speaker |
SPEAKER_00 |
transcript.pyannote[222].start |
2350.78596875 |
transcript.pyannote[222].end |
2352.06846875 |
transcript.pyannote[223].speaker |
SPEAKER_00 |
transcript.pyannote[223].start |
2352.64221875 |
transcript.pyannote[223].end |
2353.97534375 |
transcript.pyannote[224].speaker |
SPEAKER_00 |
transcript.pyannote[224].start |
2354.27909375 |
transcript.pyannote[224].end |
2362.75034375 |
transcript.pyannote[225].speaker |
SPEAKER_00 |
transcript.pyannote[225].start |
2363.12159375 |
transcript.pyannote[225].end |
2365.45034375 |
transcript.pyannote[226].speaker |
SPEAKER_00 |
transcript.pyannote[226].start |
2365.97346875 |
transcript.pyannote[226].end |
2373.28034375 |
transcript.pyannote[227].speaker |
SPEAKER_00 |
transcript.pyannote[227].start |
2373.31409375 |
transcript.pyannote[227].end |
2375.32221875 |
transcript.pyannote[228].speaker |
SPEAKER_00 |
transcript.pyannote[228].start |
2375.87909375 |
transcript.pyannote[228].end |
2378.25846875 |
transcript.pyannote[229].speaker |
SPEAKER_00 |
transcript.pyannote[229].start |
2378.76471875 |
transcript.pyannote[229].end |
2381.19471875 |
transcript.pyannote[230].speaker |
SPEAKER_00 |
transcript.pyannote[230].start |
2381.58284375 |
transcript.pyannote[230].end |
2383.74284375 |
transcript.pyannote[231].speaker |
SPEAKER_00 |
transcript.pyannote[231].start |
2384.02971875 |
transcript.pyannote[231].end |
2385.70034375 |
transcript.pyannote[232].speaker |
SPEAKER_00 |
transcript.pyannote[232].start |
2386.05471875 |
transcript.pyannote[232].end |
2399.26784375 |
transcript.pyannote[233].speaker |
SPEAKER_00 |
transcript.pyannote[233].start |
2399.97659375 |
transcript.pyannote[233].end |
2400.71909375 |
transcript.pyannote[234].speaker |
SPEAKER_00 |
transcript.pyannote[234].start |
2401.12409375 |
transcript.pyannote[234].end |
2410.43909375 |
transcript.pyannote[235].speaker |
SPEAKER_00 |
transcript.pyannote[235].start |
2410.84409375 |
transcript.pyannote[235].end |
2412.29534375 |
transcript.pyannote[236].speaker |
SPEAKER_03 |
transcript.pyannote[236].start |
2414.23596875 |
transcript.pyannote[236].end |
2417.03721875 |
transcript.pyannote[237].speaker |
SPEAKER_06 |
transcript.pyannote[237].start |
2419.21409375 |
transcript.pyannote[237].end |
2420.46284375 |
transcript.pyannote[238].speaker |
SPEAKER_06 |
transcript.pyannote[238].start |
2420.51346875 |
transcript.pyannote[238].end |
2420.54721875 |
transcript.pyannote[239].speaker |
SPEAKER_06 |
transcript.pyannote[239].start |
2420.66534375 |
transcript.pyannote[239].end |
2427.65159375 |
transcript.pyannote[240].speaker |
SPEAKER_06 |
transcript.pyannote[240].start |
2427.70221875 |
transcript.pyannote[240].end |
2438.58659375 |
transcript.pyannote[241].speaker |
SPEAKER_06 |
transcript.pyannote[241].start |
2438.82284375 |
transcript.pyannote[241].end |
2441.53971875 |
transcript.pyannote[242].speaker |
SPEAKER_06 |
transcript.pyannote[242].start |
2442.01221875 |
transcript.pyannote[242].end |
2446.70346875 |
transcript.pyannote[243].speaker |
SPEAKER_06 |
transcript.pyannote[243].start |
2446.92284375 |
transcript.pyannote[243].end |
2459.12346875 |
transcript.pyannote[244].speaker |
SPEAKER_03 |
transcript.pyannote[244].start |
2461.11471875 |
transcript.pyannote[244].end |
2463.81471875 |
transcript.pyannote[245].speaker |
SPEAKER_03 |
transcript.pyannote[245].start |
2463.96659375 |
transcript.pyannote[245].end |
2464.67534375 |
transcript.pyannote[246].speaker |
SPEAKER_03 |
transcript.pyannote[246].start |
2465.89034375 |
transcript.pyannote[246].end |
2466.68346875 |
transcript.pyannote[247].speaker |
SPEAKER_01 |
transcript.pyannote[247].start |
2466.68346875 |
transcript.pyannote[247].end |
2466.70034375 |
transcript.pyannote[248].speaker |
SPEAKER_01 |
transcript.pyannote[248].start |
2467.32471875 |
transcript.pyannote[248].end |
2471.88096875 |
transcript.pyannote[249].speaker |
SPEAKER_01 |
transcript.pyannote[249].start |
2472.31971875 |
transcript.pyannote[249].end |
2478.76596875 |
transcript.pyannote[250].speaker |
SPEAKER_01 |
transcript.pyannote[250].start |
2479.03596875 |
transcript.pyannote[250].end |
2488.51971875 |
transcript.pyannote[251].speaker |
SPEAKER_01 |
transcript.pyannote[251].start |
2488.97534375 |
transcript.pyannote[251].end |
2523.06284375 |
transcript.pyannote[252].speaker |
SPEAKER_01 |
transcript.pyannote[252].start |
2523.46784375 |
transcript.pyannote[252].end |
2524.96971875 |
transcript.pyannote[253].speaker |
SPEAKER_01 |
transcript.pyannote[253].start |
2525.40846875 |
transcript.pyannote[253].end |
2532.02346875 |
transcript.pyannote[254].speaker |
SPEAKER_01 |
transcript.pyannote[254].start |
2532.24284375 |
transcript.pyannote[254].end |
2552.66159375 |
transcript.pyannote[255].speaker |
SPEAKER_01 |
transcript.pyannote[255].start |
2552.91471875 |
transcript.pyannote[255].end |
2582.41221875 |
transcript.pyannote[256].speaker |
SPEAKER_01 |
transcript.pyannote[256].start |
2583.03659375 |
transcript.pyannote[256].end |
2583.88034375 |
transcript.pyannote[257].speaker |
SPEAKER_01 |
transcript.pyannote[257].start |
2584.06596875 |
transcript.pyannote[257].end |
2603.40471875 |
transcript.pyannote[258].speaker |
SPEAKER_01 |
transcript.pyannote[258].start |
2603.89409375 |
transcript.pyannote[258].end |
2606.12159375 |
transcript.pyannote[259].speaker |
SPEAKER_01 |
transcript.pyannote[259].start |
2606.50971875 |
transcript.pyannote[259].end |
2625.98346875 |
transcript.pyannote[260].speaker |
SPEAKER_01 |
transcript.pyannote[260].start |
2626.54034375 |
transcript.pyannote[260].end |
2627.11409375 |
transcript.pyannote[261].speaker |
SPEAKER_01 |
transcript.pyannote[261].start |
2627.62034375 |
transcript.pyannote[261].end |
2627.95784375 |
transcript.pyannote[262].speaker |
SPEAKER_01 |
transcript.pyannote[262].start |
2628.34596875 |
transcript.pyannote[262].end |
2636.32784375 |
transcript.pyannote[263].speaker |
SPEAKER_01 |
transcript.pyannote[263].start |
2637.54284375 |
transcript.pyannote[263].end |
2666.24721875 |
transcript.pyannote[264].speaker |
SPEAKER_01 |
transcript.pyannote[264].start |
2666.68596875 |
transcript.pyannote[264].end |
2690.78346875 |
transcript.pyannote[265].speaker |
SPEAKER_01 |
transcript.pyannote[265].start |
2691.27284375 |
transcript.pyannote[265].end |
2696.03159375 |
transcript.pyannote[266].speaker |
SPEAKER_01 |
transcript.pyannote[266].start |
2696.53784375 |
transcript.pyannote[266].end |
2700.80721875 |
transcript.pyannote[267].speaker |
SPEAKER_01 |
transcript.pyannote[267].start |
2701.02659375 |
transcript.pyannote[267].end |
2703.15284375 |
transcript.pyannote[268].speaker |
SPEAKER_01 |
transcript.pyannote[268].start |
2703.37221875 |
transcript.pyannote[268].end |
2718.81284375 |
transcript.pyannote[269].speaker |
SPEAKER_01 |
transcript.pyannote[269].start |
2719.26846875 |
transcript.pyannote[269].end |
2732.09346875 |
transcript.pyannote[270].speaker |
SPEAKER_01 |
transcript.pyannote[270].start |
2732.12721875 |
transcript.pyannote[270].end |
2740.26096875 |
transcript.pyannote[271].speaker |
SPEAKER_03 |
transcript.pyannote[271].start |
2742.20159375 |
transcript.pyannote[271].end |
2752.81596875 |
transcript.pyannote[272].speaker |
SPEAKER_01 |
transcript.pyannote[272].start |
2752.79909375 |
transcript.pyannote[272].end |
2754.28409375 |
transcript.pyannote[273].speaker |
SPEAKER_01 |
transcript.pyannote[273].start |
2754.89159375 |
transcript.pyannote[273].end |
2765.06721875 |
transcript.pyannote[274].speaker |
SPEAKER_01 |
transcript.pyannote[274].start |
2765.74221875 |
transcript.pyannote[274].end |
2766.72096875 |
transcript.pyannote[275].speaker |
SPEAKER_01 |
transcript.pyannote[275].start |
2766.90659375 |
transcript.pyannote[275].end |
2772.20534375 |
transcript.pyannote[276].speaker |
SPEAKER_01 |
transcript.pyannote[276].start |
2772.77909375 |
transcript.pyannote[276].end |
2773.04909375 |
transcript.pyannote[277].speaker |
SPEAKER_01 |
transcript.pyannote[277].start |
2773.62284375 |
transcript.pyannote[277].end |
2776.06971875 |
transcript.pyannote[278].speaker |
SPEAKER_01 |
transcript.pyannote[278].start |
2776.59284375 |
transcript.pyannote[278].end |
2779.37721875 |
transcript.pyannote[279].speaker |
SPEAKER_01 |
transcript.pyannote[279].start |
2780.10284375 |
transcript.pyannote[279].end |
2786.90346875 |
transcript.pyannote[280].speaker |
SPEAKER_01 |
transcript.pyannote[280].start |
2787.22409375 |
transcript.pyannote[280].end |
2791.22346875 |
transcript.pyannote[281].speaker |
SPEAKER_01 |
transcript.pyannote[281].start |
2791.69596875 |
transcript.pyannote[281].end |
2796.80909375 |
transcript.pyannote[282].speaker |
SPEAKER_01 |
transcript.pyannote[282].start |
2797.39971875 |
transcript.pyannote[282].end |
2801.68596875 |
transcript.pyannote[283].speaker |
SPEAKER_01 |
transcript.pyannote[283].start |
2802.15846875 |
transcript.pyannote[283].end |
2802.93471875 |
transcript.pyannote[284].speaker |
SPEAKER_01 |
transcript.pyannote[284].start |
2803.55909375 |
transcript.pyannote[284].end |
2807.40659375 |
transcript.pyannote[285].speaker |
SPEAKER_01 |
transcript.pyannote[285].start |
2807.81159375 |
transcript.pyannote[285].end |
2815.60784375 |
transcript.pyannote[286].speaker |
SPEAKER_01 |
transcript.pyannote[286].start |
2816.02971875 |
transcript.pyannote[286].end |
2822.12159375 |
transcript.pyannote[287].speaker |
SPEAKER_01 |
transcript.pyannote[287].start |
2822.69534375 |
transcript.pyannote[287].end |
2826.52596875 |
transcript.pyannote[288].speaker |
SPEAKER_01 |
transcript.pyannote[288].start |
2826.89721875 |
transcript.pyannote[288].end |
2828.50034375 |
transcript.pyannote[289].speaker |
SPEAKER_01 |
transcript.pyannote[289].start |
2829.25971875 |
transcript.pyannote[289].end |
2832.31409375 |
transcript.pyannote[290].speaker |
SPEAKER_01 |
transcript.pyannote[290].start |
2832.66846875 |
transcript.pyannote[290].end |
2838.18659375 |
transcript.pyannote[291].speaker |
SPEAKER_03 |
transcript.pyannote[291].start |
2837.12346875 |
transcript.pyannote[291].end |
2838.03471875 |
transcript.pyannote[292].speaker |
SPEAKER_01 |
transcript.pyannote[292].start |
2838.49034375 |
transcript.pyannote[292].end |
2847.28221875 |
transcript.pyannote[293].speaker |
SPEAKER_01 |
transcript.pyannote[293].start |
2847.60284375 |
transcript.pyannote[293].end |
2850.01596875 |
transcript.pyannote[294].speaker |
SPEAKER_01 |
transcript.pyannote[294].start |
2850.64034375 |
transcript.pyannote[294].end |
2852.86784375 |
transcript.pyannote[295].speaker |
SPEAKER_01 |
transcript.pyannote[295].start |
2853.37409375 |
transcript.pyannote[295].end |
2855.70284375 |
transcript.pyannote[296].speaker |
SPEAKER_01 |
transcript.pyannote[296].start |
2856.00659375 |
transcript.pyannote[296].end |
2868.37596875 |
transcript.pyannote[297].speaker |
SPEAKER_01 |
transcript.pyannote[297].start |
2868.67971875 |
transcript.pyannote[297].end |
2876.30721875 |
transcript.pyannote[298].speaker |
SPEAKER_01 |
transcript.pyannote[298].start |
2876.61096875 |
transcript.pyannote[298].end |
2882.26409375 |
transcript.pyannote[299].speaker |
SPEAKER_01 |
transcript.pyannote[299].start |
2882.55096875 |
transcript.pyannote[299].end |
2887.96784375 |
transcript.pyannote[300].speaker |
SPEAKER_01 |
transcript.pyannote[300].start |
2888.55846875 |
transcript.pyannote[300].end |
2893.92471875 |
transcript.pyannote[301].speaker |
SPEAKER_03 |
transcript.pyannote[301].start |
2894.59971875 |
transcript.pyannote[301].end |
2903.76284375 |
transcript.pyannote[302].speaker |
SPEAKER_03 |
transcript.pyannote[302].start |
2904.10034375 |
transcript.pyannote[302].end |
2912.95971875 |
transcript.pyannote[303].speaker |
SPEAKER_01 |
transcript.pyannote[303].start |
2912.95971875 |
transcript.pyannote[303].end |
2922.46034375 |
transcript.pyannote[304].speaker |
SPEAKER_03 |
transcript.pyannote[304].start |
2913.28034375 |
transcript.pyannote[304].end |
2914.00596875 |
transcript.pyannote[305].speaker |
SPEAKER_01 |
transcript.pyannote[305].start |
2923.06784375 |
transcript.pyannote[305].end |
2925.70034375 |
transcript.pyannote[306].speaker |
SPEAKER_03 |
transcript.pyannote[306].start |
2926.10534375 |
transcript.pyannote[306].end |
2930.22284375 |
transcript.pyannote[307].speaker |
SPEAKER_03 |
transcript.pyannote[307].start |
2930.44221875 |
transcript.pyannote[307].end |
2932.80471875 |
transcript.pyannote[308].speaker |
SPEAKER_03 |
transcript.pyannote[308].start |
2933.12534375 |
transcript.pyannote[308].end |
2933.14221875 |
transcript.pyannote[309].speaker |
SPEAKER_11 |
transcript.pyannote[309].start |
2933.14221875 |
transcript.pyannote[309].end |
2943.14909375 |
transcript.pyannote[310].speaker |
SPEAKER_04 |
transcript.pyannote[310].start |
2945.34284375 |
transcript.pyannote[310].end |
2945.46096875 |
transcript.pyannote[311].speaker |
SPEAKER_03 |
transcript.pyannote[311].start |
2948.85284375 |
transcript.pyannote[311].end |
2949.03846875 |
transcript.pyannote[312].speaker |
SPEAKER_02 |
transcript.pyannote[312].start |
2949.03846875 |
transcript.pyannote[312].end |
2951.90721875 |
transcript.pyannote[313].speaker |
SPEAKER_02 |
transcript.pyannote[313].start |
2952.43034375 |
transcript.pyannote[313].end |
2966.30159375 |
transcript.pyannote[314].speaker |
SPEAKER_02 |
transcript.pyannote[314].start |
2966.45346875 |
transcript.pyannote[314].end |
2991.10784375 |
transcript.pyannote[315].speaker |
SPEAKER_02 |
transcript.pyannote[315].start |
2991.20909375 |
transcript.pyannote[315].end |
2998.19534375 |
transcript.pyannote[316].speaker |
SPEAKER_02 |
transcript.pyannote[316].start |
2998.76909375 |
transcript.pyannote[316].end |
3004.15221875 |
transcript.pyannote[317].speaker |
SPEAKER_02 |
transcript.pyannote[317].start |
3004.55721875 |
transcript.pyannote[317].end |
3008.72534375 |
transcript.pyannote[318].speaker |
SPEAKER_02 |
transcript.pyannote[318].start |
3009.28221875 |
transcript.pyannote[318].end |
3031.30409375 |
transcript.pyannote[319].speaker |
SPEAKER_02 |
transcript.pyannote[319].start |
3031.75971875 |
transcript.pyannote[319].end |
3047.18346875 |
transcript.pyannote[320].speaker |
SPEAKER_02 |
transcript.pyannote[320].start |
3047.52096875 |
transcript.pyannote[320].end |
3082.51971875 |
transcript.pyannote[321].speaker |
SPEAKER_02 |
transcript.pyannote[321].start |
3082.85721875 |
transcript.pyannote[321].end |
3088.86471875 |
transcript.pyannote[322].speaker |
SPEAKER_02 |
transcript.pyannote[322].start |
3089.10096875 |
transcript.pyannote[322].end |
3098.75346875 |
transcript.pyannote[323].speaker |
SPEAKER_02 |
transcript.pyannote[323].start |
3099.41159375 |
transcript.pyannote[323].end |
3144.33284375 |
transcript.pyannote[324].speaker |
SPEAKER_02 |
transcript.pyannote[324].start |
3144.83909375 |
transcript.pyannote[324].end |
3145.71659375 |
transcript.pyannote[325].speaker |
SPEAKER_02 |
transcript.pyannote[325].start |
3146.47596875 |
transcript.pyannote[325].end |
3187.88721875 |
transcript.pyannote[326].speaker |
SPEAKER_02 |
transcript.pyannote[326].start |
3188.19096875 |
transcript.pyannote[326].end |
3195.24471875 |
transcript.pyannote[327].speaker |
SPEAKER_02 |
transcript.pyannote[327].start |
3195.73409375 |
transcript.pyannote[327].end |
3196.05471875 |
transcript.pyannote[328].speaker |
SPEAKER_02 |
transcript.pyannote[328].start |
3196.13909375 |
transcript.pyannote[328].end |
3197.74221875 |
transcript.pyannote[329].speaker |
SPEAKER_02 |
transcript.pyannote[329].start |
3198.26534375 |
transcript.pyannote[329].end |
3199.10909375 |
transcript.pyannote[330].speaker |
SPEAKER_02 |
transcript.pyannote[330].start |
3199.86846875 |
transcript.pyannote[330].end |
3217.45221875 |
transcript.pyannote[331].speaker |
SPEAKER_02 |
transcript.pyannote[331].start |
3217.58721875 |
transcript.pyannote[331].end |
3219.71346875 |
transcript.pyannote[332].speaker |
SPEAKER_02 |
transcript.pyannote[332].start |
3220.23659375 |
transcript.pyannote[332].end |
3239.15346875 |
transcript.pyannote[333].speaker |
SPEAKER_02 |
transcript.pyannote[333].start |
3239.38971875 |
transcript.pyannote[333].end |
3271.41846875 |
transcript.pyannote[334].speaker |
SPEAKER_02 |
transcript.pyannote[334].start |
3271.67159375 |
transcript.pyannote[334].end |
3278.89409375 |
transcript.pyannote[335].speaker |
SPEAKER_02 |
transcript.pyannote[335].start |
3279.95721875 |
transcript.pyannote[335].end |
3296.62971875 |
transcript.pyannote[336].speaker |
SPEAKER_02 |
transcript.pyannote[336].start |
3297.00096875 |
transcript.pyannote[336].end |
3299.00909375 |
transcript.pyannote[337].speaker |
SPEAKER_02 |
transcript.pyannote[337].start |
3299.21159375 |
transcript.pyannote[337].end |
3304.18971875 |
transcript.pyannote[338].speaker |
SPEAKER_02 |
transcript.pyannote[338].start |
3304.57784375 |
transcript.pyannote[338].end |
3306.61971875 |
transcript.pyannote[339].speaker |
SPEAKER_02 |
transcript.pyannote[339].start |
3306.83909375 |
transcript.pyannote[339].end |
3311.51346875 |
transcript.pyannote[340].speaker |
SPEAKER_02 |
transcript.pyannote[340].start |
3311.86784375 |
transcript.pyannote[340].end |
3317.23409375 |
transcript.pyannote[341].speaker |
SPEAKER_02 |
transcript.pyannote[341].start |
3317.82471875 |
transcript.pyannote[341].end |
3334.73346875 |
transcript.pyannote[342].speaker |
SPEAKER_02 |
transcript.pyannote[342].start |
3335.22284375 |
transcript.pyannote[342].end |
3354.15659375 |
transcript.pyannote[343].speaker |
SPEAKER_03 |
transcript.pyannote[343].start |
3355.08471875 |
transcript.pyannote[343].end |
3362.00346875 |
transcript.pyannote[344].speaker |
SPEAKER_03 |
transcript.pyannote[344].start |
5037.99471875 |
transcript.pyannote[344].end |
5040.67784375 |
transcript.pyannote[345].speaker |
SPEAKER_03 |
transcript.pyannote[345].start |
5041.50471875 |
transcript.pyannote[345].end |
5049.03096875 |
transcript.pyannote[346].speaker |
SPEAKER_03 |
transcript.pyannote[346].start |
5049.68909375 |
transcript.pyannote[346].end |
5050.97159375 |
transcript.pyannote[347].speaker |
SPEAKER_03 |
transcript.pyannote[347].start |
5052.62534375 |
transcript.pyannote[347].end |
5054.00909375 |
transcript.pyannote[348].speaker |
SPEAKER_03 |
transcript.pyannote[348].start |
5054.97096875 |
transcript.pyannote[348].end |
5068.03221875 |
transcript.pyannote[349].speaker |
SPEAKER_03 |
transcript.pyannote[349].start |
5068.35284375 |
transcript.pyannote[349].end |
5078.96721875 |
transcript.pyannote[350].speaker |
SPEAKER_03 |
transcript.pyannote[350].start |
5079.43971875 |
transcript.pyannote[350].end |
5088.85596875 |
transcript.pyannote[351].speaker |
SPEAKER_03 |
transcript.pyannote[351].start |
5089.48034375 |
transcript.pyannote[351].end |
5110.67534375 |
transcript.pyannote[352].speaker |
SPEAKER_04 |
transcript.pyannote[352].start |
5111.97471875 |
transcript.pyannote[352].end |
5112.37971875 |
transcript.pyannote[353].speaker |
SPEAKER_03 |
transcript.pyannote[353].start |
5112.37971875 |
transcript.pyannote[353].end |
5113.93221875 |
transcript.pyannote[354].speaker |
SPEAKER_04 |
transcript.pyannote[354].start |
5112.39659375 |
transcript.pyannote[354].end |
5113.34159375 |
transcript.pyannote[355].speaker |
SPEAKER_08 |
transcript.pyannote[355].start |
5122.96034375 |
transcript.pyannote[355].end |
5125.79534375 |
transcript.pyannote[356].speaker |
SPEAKER_03 |
transcript.pyannote[356].start |
5125.37346875 |
transcript.pyannote[356].end |
5126.33534375 |
transcript.pyannote[357].speaker |
SPEAKER_03 |
transcript.pyannote[357].start |
5126.72346875 |
transcript.pyannote[357].end |
5129.03534375 |
transcript.pyannote[358].speaker |
SPEAKER_08 |
transcript.pyannote[358].start |
5126.75721875 |
transcript.pyannote[358].end |
5127.76971875 |
transcript.pyannote[359].speaker |
SPEAKER_08 |
transcript.pyannote[359].start |
5129.25471875 |
transcript.pyannote[359].end |
5150.83784375 |
transcript.pyannote[360].speaker |
SPEAKER_08 |
transcript.pyannote[360].start |
5151.15846875 |
transcript.pyannote[360].end |
5154.16221875 |
transcript.pyannote[361].speaker |
SPEAKER_08 |
transcript.pyannote[361].start |
5155.12409375 |
transcript.pyannote[361].end |
5155.66409375 |
transcript.pyannote[362].speaker |
SPEAKER_08 |
transcript.pyannote[362].start |
5155.96784375 |
transcript.pyannote[362].end |
5156.03534375 |
transcript.pyannote[363].speaker |
SPEAKER_08 |
transcript.pyannote[363].start |
5156.08596875 |
transcript.pyannote[363].end |
5157.72284375 |
transcript.pyannote[364].speaker |
SPEAKER_08 |
transcript.pyannote[364].start |
5158.16159375 |
transcript.pyannote[364].end |
5158.63409375 |
transcript.pyannote[365].speaker |
SPEAKER_03 |
transcript.pyannote[365].start |
5159.98409375 |
transcript.pyannote[365].end |
5160.94596875 |
transcript.pyannote[366].speaker |
SPEAKER_10 |
transcript.pyannote[366].start |
5162.66721875 |
transcript.pyannote[366].end |
5165.82284375 |
transcript.pyannote[367].speaker |
SPEAKER_10 |
transcript.pyannote[367].start |
5166.88596875 |
transcript.pyannote[367].end |
5182.02284375 |
transcript.pyannote[368].speaker |
SPEAKER_10 |
transcript.pyannote[368].start |
5182.17471875 |
transcript.pyannote[368].end |
5182.63034375 |
transcript.pyannote[369].speaker |
SPEAKER_04 |
transcript.pyannote[369].start |
5182.63034375 |
transcript.pyannote[369].end |
5183.82846875 |
transcript.pyannote[370].speaker |
SPEAKER_10 |
transcript.pyannote[370].start |
5182.64721875 |
transcript.pyannote[370].end |
5182.69784375 |
transcript.pyannote[371].speaker |
SPEAKER_10 |
transcript.pyannote[371].start |
5182.95096875 |
transcript.pyannote[371].end |
5183.30534375 |
transcript.pyannote[372].speaker |
SPEAKER_10 |
transcript.pyannote[372].start |
5183.82846875 |
transcript.pyannote[372].end |
5190.29159375 |
transcript.pyannote[373].speaker |
SPEAKER_10 |
transcript.pyannote[373].start |
5190.51096875 |
transcript.pyannote[373].end |
5191.96221875 |
transcript.pyannote[374].speaker |
SPEAKER_03 |
transcript.pyannote[374].start |
5191.96221875 |
transcript.pyannote[374].end |
5192.51909375 |
transcript.pyannote[375].speaker |
SPEAKER_12 |
transcript.pyannote[375].start |
5195.10096875 |
transcript.pyannote[375].end |
5203.62284375 |
transcript.pyannote[376].speaker |
SPEAKER_03 |
transcript.pyannote[376].start |
5204.90534375 |
transcript.pyannote[376].end |
5207.03159375 |
transcript.pyannote[377].speaker |
SPEAKER_09 |
transcript.pyannote[377].start |
5207.03159375 |
transcript.pyannote[377].end |
5241.97971875 |
transcript.pyannote[378].speaker |
SPEAKER_09 |
transcript.pyannote[378].start |
5242.36784375 |
transcript.pyannote[378].end |
5245.57409375 |
transcript.pyannote[379].speaker |
SPEAKER_09 |
transcript.pyannote[379].start |
5245.92846875 |
transcript.pyannote[379].end |
5250.28221875 |
transcript.pyannote[380].speaker |
SPEAKER_09 |
transcript.pyannote[380].start |
5250.70409375 |
transcript.pyannote[380].end |
5253.47159375 |
transcript.pyannote[381].speaker |
SPEAKER_09 |
transcript.pyannote[381].start |
5254.46721875 |
transcript.pyannote[381].end |
5261.79096875 |
transcript.pyannote[382].speaker |
SPEAKER_09 |
transcript.pyannote[382].start |
5262.36471875 |
transcript.pyannote[382].end |
5267.54534375 |
transcript.pyannote[383].speaker |
SPEAKER_09 |
transcript.pyannote[383].start |
5268.08534375 |
transcript.pyannote[383].end |
5271.73034375 |
transcript.pyannote[384].speaker |
SPEAKER_09 |
transcript.pyannote[384].start |
5271.93284375 |
transcript.pyannote[384].end |
5274.81846875 |
transcript.pyannote[385].speaker |
SPEAKER_09 |
transcript.pyannote[385].start |
5275.25721875 |
transcript.pyannote[385].end |
5279.30721875 |
transcript.pyannote[386].speaker |
SPEAKER_09 |
transcript.pyannote[386].start |
5279.54346875 |
transcript.pyannote[386].end |
5285.36534375 |
transcript.pyannote[387].speaker |
SPEAKER_09 |
transcript.pyannote[387].start |
5285.75346875 |
transcript.pyannote[387].end |
5292.85784375 |
transcript.pyannote[388].speaker |
SPEAKER_04 |
transcript.pyannote[388].start |
5293.36409375 |
transcript.pyannote[388].end |
5293.38096875 |
transcript.pyannote[389].speaker |
SPEAKER_09 |
transcript.pyannote[389].start |
5293.38096875 |
transcript.pyannote[389].end |
5294.41034375 |
transcript.pyannote[390].speaker |
SPEAKER_03 |
transcript.pyannote[390].start |
5295.01784375 |
transcript.pyannote[390].end |
5300.38409375 |
transcript.pyannote[391].speaker |
SPEAKER_08 |
transcript.pyannote[391].start |
5301.29534375 |
transcript.pyannote[391].end |
5329.98284375 |
transcript.pyannote[392].speaker |
SPEAKER_08 |
transcript.pyannote[392].start |
5330.35409375 |
transcript.pyannote[392].end |
5343.76971875 |
transcript.pyannote[393].speaker |
SPEAKER_08 |
transcript.pyannote[393].start |
5344.37721875 |
transcript.pyannote[393].end |
5375.12346875 |
transcript.pyannote[394].speaker |
SPEAKER_08 |
transcript.pyannote[394].start |
5375.44409375 |
transcript.pyannote[394].end |
5377.75596875 |
transcript.pyannote[395].speaker |
SPEAKER_08 |
transcript.pyannote[395].start |
5378.95409375 |
transcript.pyannote[395].end |
5379.49409375 |
transcript.pyannote[396].speaker |
SPEAKER_08 |
transcript.pyannote[396].start |
5380.99596875 |
transcript.pyannote[396].end |
5392.52159375 |
transcript.pyannote[397].speaker |
SPEAKER_08 |
transcript.pyannote[397].start |
5393.71971875 |
transcript.pyannote[397].end |
5402.39346875 |
transcript.pyannote[398].speaker |
SPEAKER_08 |
transcript.pyannote[398].start |
5403.25409375 |
transcript.pyannote[398].end |
5404.45221875 |
transcript.pyannote[399].speaker |
SPEAKER_08 |
transcript.pyannote[399].start |
5404.75596875 |
transcript.pyannote[399].end |
5411.94471875 |
transcript.pyannote[400].speaker |
SPEAKER_09 |
transcript.pyannote[400].start |
5411.23596875 |
transcript.pyannote[400].end |
5420.56784375 |
transcript.pyannote[401].speaker |
SPEAKER_03 |
transcript.pyannote[401].start |
5420.11221875 |
transcript.pyannote[401].end |
5420.26409375 |
transcript.pyannote[402].speaker |
SPEAKER_11 |
transcript.pyannote[402].start |
5420.56784375 |
transcript.pyannote[402].end |
5421.34409375 |
transcript.pyannote[403].speaker |
SPEAKER_09 |
transcript.pyannote[403].start |
5421.34409375 |
transcript.pyannote[403].end |
5422.27221875 |
transcript.pyannote[404].speaker |
SPEAKER_11 |
transcript.pyannote[404].start |
5421.37784375 |
transcript.pyannote[404].end |
5422.23846875 |
transcript.pyannote[405].speaker |
SPEAKER_11 |
transcript.pyannote[405].start |
5422.27221875 |
transcript.pyannote[405].end |
5427.06471875 |
transcript.pyannote[406].speaker |
SPEAKER_03 |
transcript.pyannote[406].start |
5425.10721875 |
transcript.pyannote[406].end |
5426.50784375 |
transcript.pyannote[407].speaker |
SPEAKER_03 |
transcript.pyannote[407].start |
5427.06471875 |
transcript.pyannote[407].end |
5427.36846875 |
transcript.pyannote[408].speaker |
SPEAKER_03 |
transcript.pyannote[408].start |
5427.55409375 |
transcript.pyannote[408].end |
5428.65096875 |
transcript.pyannote[409].speaker |
SPEAKER_03 |
transcript.pyannote[409].start |
5432.66721875 |
transcript.pyannote[409].end |
5437.42596875 |
transcript.pyannote[410].speaker |
SPEAKER_10 |
transcript.pyannote[410].start |
5437.18971875 |
transcript.pyannote[410].end |
5446.30221875 |
transcript.pyannote[411].speaker |
SPEAKER_11 |
transcript.pyannote[411].start |
5444.34471875 |
transcript.pyannote[411].end |
5444.41221875 |
transcript.pyannote[412].speaker |
SPEAKER_04 |
transcript.pyannote[412].start |
5444.41221875 |
transcript.pyannote[412].end |
5444.58096875 |
transcript.pyannote[413].speaker |
SPEAKER_10 |
transcript.pyannote[413].start |
5446.90971875 |
transcript.pyannote[413].end |
5451.06096875 |
transcript.pyannote[414].speaker |
SPEAKER_10 |
transcript.pyannote[414].start |
5451.51659375 |
transcript.pyannote[414].end |
5457.49034375 |
transcript.pyannote[415].speaker |
SPEAKER_10 |
transcript.pyannote[415].start |
5459.75159375 |
transcript.pyannote[415].end |
5465.60721875 |
transcript.pyannote[416].speaker |
SPEAKER_09 |
transcript.pyannote[416].start |
5460.03846875 |
transcript.pyannote[416].end |
5461.23659375 |
transcript.pyannote[417].speaker |
SPEAKER_09 |
transcript.pyannote[417].start |
5465.60721875 |
transcript.pyannote[417].end |
5467.36221875 |
transcript.pyannote[418].speaker |
SPEAKER_10 |
transcript.pyannote[418].start |
5465.64096875 |
transcript.pyannote[418].end |
5467.34534375 |
transcript.pyannote[419].speaker |
SPEAKER_11 |
transcript.pyannote[419].start |
5467.36221875 |
transcript.pyannote[419].end |
5467.54784375 |
transcript.pyannote[420].speaker |
SPEAKER_09 |
transcript.pyannote[420].start |
5467.54784375 |
transcript.pyannote[420].end |
5468.29034375 |
transcript.pyannote[421].speaker |
SPEAKER_11 |
transcript.pyannote[421].start |
5468.29034375 |
transcript.pyannote[421].end |
5468.34096875 |
transcript.pyannote[422].speaker |
SPEAKER_10 |
transcript.pyannote[422].start |
5468.34096875 |
transcript.pyannote[422].end |
5468.35784375 |
transcript.pyannote[423].speaker |
SPEAKER_11 |
transcript.pyannote[423].start |
5468.35784375 |
transcript.pyannote[423].end |
5468.37471875 |
transcript.pyannote[424].speaker |
SPEAKER_10 |
transcript.pyannote[424].start |
5468.37471875 |
transcript.pyannote[424].end |
5468.96534375 |
transcript.pyannote[425].speaker |
SPEAKER_09 |
transcript.pyannote[425].start |
5468.45909375 |
transcript.pyannote[425].end |
5468.47596875 |
transcript.pyannote[426].speaker |
SPEAKER_11 |
transcript.pyannote[426].start |
5468.47596875 |
transcript.pyannote[426].end |
5468.54346875 |
transcript.pyannote[427].speaker |
SPEAKER_09 |
transcript.pyannote[427].start |
5468.54346875 |
transcript.pyannote[427].end |
5468.89784375 |
transcript.pyannote[428].speaker |
SPEAKER_11 |
transcript.pyannote[428].start |
5468.89784375 |
transcript.pyannote[428].end |
5468.93159375 |
transcript.pyannote[429].speaker |
SPEAKER_11 |
transcript.pyannote[429].start |
5468.96534375 |
transcript.pyannote[429].end |
5469.84284375 |
transcript.pyannote[430].speaker |
SPEAKER_09 |
transcript.pyannote[430].start |
5469.87659375 |
transcript.pyannote[430].end |
5474.02784375 |
transcript.pyannote[431].speaker |
SPEAKER_09 |
transcript.pyannote[431].start |
5474.12909375 |
transcript.pyannote[431].end |
5475.39471875 |
transcript.pyannote[432].speaker |
SPEAKER_09 |
transcript.pyannote[432].start |
5475.88409375 |
transcript.pyannote[432].end |
5478.83721875 |
transcript.pyannote[433].speaker |
SPEAKER_04 |
transcript.pyannote[433].start |
5480.96346875 |
transcript.pyannote[433].end |
5481.01409375 |
transcript.pyannote[434].speaker |
SPEAKER_04 |
transcript.pyannote[434].start |
5481.30096875 |
transcript.pyannote[434].end |
5481.33471875 |
transcript.pyannote[435].speaker |
SPEAKER_08 |
transcript.pyannote[435].start |
5513.27909375 |
transcript.pyannote[435].end |
5514.59534375 |
transcript.pyannote[436].speaker |
SPEAKER_08 |
transcript.pyannote[436].start |
5516.75534375 |
transcript.pyannote[436].end |
5522.66159375 |
transcript.pyannote[437].speaker |
SPEAKER_08 |
transcript.pyannote[437].start |
5523.25221875 |
transcript.pyannote[437].end |
5527.30221875 |
transcript.pyannote[438].speaker |
SPEAKER_08 |
transcript.pyannote[438].start |
5527.65659375 |
transcript.pyannote[438].end |
5529.12471875 |
transcript.pyannote[439].speaker |
SPEAKER_08 |
transcript.pyannote[439].start |
5529.66471875 |
transcript.pyannote[439].end |
5532.80346875 |
transcript.pyannote[440].speaker |
SPEAKER_08 |
transcript.pyannote[440].start |
5533.49534375 |
transcript.pyannote[440].end |
5536.00971875 |
transcript.pyannote[441].speaker |
SPEAKER_03 |
transcript.pyannote[441].start |
5956.24784375 |
transcript.pyannote[441].end |
5957.91846875 |
transcript.pyannote[442].speaker |
SPEAKER_03 |
transcript.pyannote[442].start |
5958.40784375 |
transcript.pyannote[442].end |
5958.99846875 |
transcript.pyannote[443].speaker |
SPEAKER_03 |
transcript.pyannote[443].start |
5959.79159375 |
transcript.pyannote[443].end |
5961.05721875 |
transcript.pyannote[444].speaker |
SPEAKER_03 |
transcript.pyannote[444].start |
5961.56346875 |
transcript.pyannote[444].end |
5982.30284375 |
transcript.pyannote[445].speaker |
SPEAKER_03 |
transcript.pyannote[445].start |
5983.07909375 |
transcript.pyannote[445].end |
5984.37846875 |
transcript.pyannote[446].speaker |
SPEAKER_03 |
transcript.pyannote[446].start |
5985.55971875 |
transcript.pyannote[446].end |
6008.56034375 |
transcript.pyannote[447].speaker |
SPEAKER_03 |
transcript.pyannote[447].start |
6010.06221875 |
transcript.pyannote[447].end |
6018.76971875 |
transcript.pyannote[448].speaker |
SPEAKER_03 |
transcript.pyannote[448].start |
6019.69784375 |
transcript.pyannote[448].end |
6020.11971875 |
transcript.pyannote[449].speaker |
SPEAKER_03 |
transcript.pyannote[449].start |
6021.28409375 |
transcript.pyannote[449].end |
6034.64909375 |
transcript.pyannote[450].speaker |
SPEAKER_03 |
transcript.pyannote[450].start |
6035.66159375 |
transcript.pyannote[450].end |
6041.43284375 |
transcript.pyannote[451].speaker |
SPEAKER_03 |
transcript.pyannote[451].start |
6043.17096875 |
transcript.pyannote[451].end |
6043.69409375 |
transcript.pyannote[452].speaker |
SPEAKER_01 |
transcript.pyannote[452].start |
6043.69409375 |
transcript.pyannote[452].end |
6043.82909375 |
transcript.pyannote[453].speaker |
SPEAKER_01 |
transcript.pyannote[453].start |
6045.21284375 |
transcript.pyannote[453].end |
6045.28034375 |
transcript.pyannote[454].speaker |
SPEAKER_03 |
transcript.pyannote[454].start |
6045.28034375 |
transcript.pyannote[454].end |
6047.65971875 |
transcript.pyannote[455].speaker |
SPEAKER_01 |
transcript.pyannote[455].start |
6047.65971875 |
transcript.pyannote[455].end |
6048.03096875 |
transcript.whisperx[0].start |
1331.254 |
transcript.whisperx[0].end |
1332.435 |
transcript.whisperx[0].text |
臺灣民眾黨黃總召到了嗎褲總召到了 |
transcript.whisperx[1].start |
1345.523 |
transcript.whisperx[1].end |
1369.253 |
transcript.whisperx[1].text |
謝謝各位黨團幹部辛苦大家也特別感謝行政院列席所有的首長再一次介紹一下行政院的龔秘書長辛苦你哈謝謝歡迎行政院主席總署陳主席長歡迎您辛苦農業部陳部長辛苦歡迎您衛福部邱部長辛苦啊歡迎您原住民曾竺維辛苦歡迎你今天學到了一課下次走路要快一點 |
transcript.whisperx[2].start |
1371.852 |
transcript.whisperx[2].end |
1391.844 |
transcript.whisperx[2].text |
好 謝謝各位黨團幹部 謝謝大家我想今天特別要召集大家 剛剛時間也處理研會研會動議 我們到中央政府114年度總預算處理完畢之後 我們才散會所以要請各位黨團來發表大家寶貴的意見請問哪一個黨團先發言好 我們先請吳思堯幹事長先發言 然後請國民黨團請準備 |
transcript.whisperx[3].start |
1398.799 |
transcript.whisperx[3].end |
1422.892 |
transcript.whisperx[3].text |
謝謝院長﹖各黨團的夥伴大家辛苦了今天是我們針對總預算朝野協商的第四次那非常希望這一次能夠一舉突破過去的困境那民進黨團已經有提案嘛當然就是照程序希望在今天完成院長的詢答之後能夠依照往例就交付委員會審查 |
transcript.whisperx[4].start |
1424.193 |
transcript.whisperx[4].end |
1425.013 |
transcript.whisperx[4].text |
委員.議案協商.議案協商.議案協商 |
transcript.whisperx[5].start |
1446.202 |
transcript.whisperx[5].end |
1458.61 |
transcript.whisperx[5].text |
但我想一個基礎的原則還是我們在一個大家各退一步的方式跟前提之下如果要希望在野黨委員尋求的三大議案 |
transcript.whisperx[6].start |
1459.502 |
transcript.whisperx[6].end |
1487.963 |
transcript.whisperx[6].text |
的預算上的調整那勢必也希望大家能夠在一個依循法制的程序的補正上大家一起來提出解方那畢竟呢我想原住民族的禁法補償這一項是明年九月才會執行的預算那公糧收購跟健保點值健保點值當初的預估也是明年六月盡可能來達到這樣子的目標那公糧收購當然可以在 |
transcript.whisperx[7].start |
1488.624 |
transcript.whisperx[7].end |
1488.804 |
transcript.whisperx[7].text |
﹚立法院黨團協商: |
transcript.whisperx[8].start |
1505.67 |
transcript.whisperx[8].end |
1506.251 |
transcript.whisperx[8].text |
謝謝吳斯堯幹事長發言 請國民黨團請發言 |
transcript.whisperx[9].start |
1533.434 |
transcript.whisperx[9].end |
1559.928 |
transcript.whisperx[9].text |
請林思明 書記長歡迎謝謝院長我想我們還是很堅持就是說這一次的總預算如果要儘速的復違的話對於原民的這個補償條例這個法案三讀通過的法案相關預算的編列我們還是堅持我們非常堅持就是一定要這個依法來編列 |
transcript.whisperx[10].start |
1561.409 |
transcript.whisperx[10].end |
1561.449 |
transcript.whisperx[10].text |
主席 |
transcript.whisperx[11].start |
1591.77 |
transcript.whisperx[11].end |
1592.11 |
transcript.whisperx[11].text |
指揮部長 |
transcript.whisperx[12].start |
1606.641 |
transcript.whisperx[12].end |
1627.238 |
transcript.whisperx[12].text |
不是民進黨講的九十一億所以這二十億我們認為在整個總預算它還有一個調整的空間所以我們也是堅決要求要把公洋收購調整為五元這個案子要請行政院還是要把它編補在總預算裡面以上 謝謝好 謝謝林世民 書記長接下來請臺灣民眾黨團請發言市委院長 |
transcript.whisperx[13].start |
1635.871 |
transcript.whisperx[13].end |
1663.26 |
transcript.whisperx[13].text |
臺灣民眾黨黨團的立場非常的簡單也非常的清楚我先從最簡單的開始講當初有關於健保典值最後達成的是三個黨團的共識在那個過程當中衛福部的部長充分實質的參與行政部門當初參與立法部門大家都簽字 |
transcript.whisperx[14].start |
1664.921 |
transcript.whisperx[14].end |
1691.462 |
transcript.whisperx[14].text |
為了要去兌現對基層醫護的保障這就是政府該做的事情既然是政府該做的事情在預算的編列上自然而然要反應上去否則的話我們無法理解我們上個會期大家到底在忙什麼三個黨團都簽了字為服務部長實質參與 |
transcript.whisperx[15].start |
1693.963 |
transcript.whisperx[15].end |
1723.169 |
transcript.whisperx[15].text |
結果是廢紙一張嗎恐怕不應該是這個樣子公糧收購的部分農業部有他們自己的想法他們好好去努力我們尊重我們從來也沒有反對農業部你要透過什麼樣的措施只不過這幾年做下來實際上面有沒有達到那樣的效果我相信很多基層的農民心裡都有最直接的感受 |
transcript.whisperx[16].start |
1724.434 |
transcript.whisperx[16].end |
1751.411 |
transcript.whisperx[16].text |
而在公糧收購價格的這件事情上我想在整個立法歷程非常的清楚的反應當初台灣民眾黨黨團提案那我們也感謝中國國民黨黨團也支持最後院長在上面主持院會的時候請問在場委員有沒有異議沒有一個人有異議沒有一個人有異議 |
transcript.whisperx[17].start |
1752.847 |
transcript.whisperx[17].end |
1779.87 |
transcript.whisperx[17].text |
那既然是沒有一個人有異議的情況之下站在基層農民的保障上面我們當然會要求行政部門如實的編列預算禁法補償這件事情依法行政法律三讀修正通過每個公請就是九萬元 |
transcript.whisperx[18].start |
1781.089 |
transcript.whisperx[18].end |
1809.114 |
transcript.whisperx[18].text |
那你說透過基金的方式啊 對不起口誤 就是六萬元你說透過基金的方式就不能這樣做嘛我們不管 我相信之前在協商的時候在質詢的時候過去曾經做過的決議非常的清楚就請行政院就禁法補償的部分依法編列預算 |
transcript.whisperx[19].start |
1812.577 |
transcript.whisperx[19].end |
1841.129 |
transcript.whisperx[19].text |
只要行政部門做到了他們該做的事情臺灣民眾黨黨團對婦為審查沒有意見但我們今天為什麼會走到這一步就是行政部門你就是沒有依法編列預算沒有依法編列預算我們真的婦為審查了以後處於一個不可逆的狀態我只能刪了我也只能動了 |
transcript.whisperx[20].start |
1842.386 |
transcript.whisperx[20].end |
1867.593 |
transcript.whisperx[20].text |
我到真的審查預算的時候我可以挪用其他的科目嗎?也不行嘛因為這些事情其實我相信院長聽到應該都快要會背了大家各個不管在在說明上在立場上我們已經一而再再而三的表達非常謙卑的非常謙卑的希望我們的行政部門 |
transcript.whisperx[21].start |
1868.885 |
transcript.whisperx[21].end |
1885.718 |
transcript.whisperx[21].text |
能夠與原住民能夠與基層的農民與我們基層的醫護的保障能夠把它放在心裡面好好的編列預算只要編列預算完了我們當然就依法審查這是我們作為一個立法委員我們應該盡的職責這個是台灣民眾黨黨團我們今天 |
transcript.whisperx[22].start |
1891.798 |
transcript.whisperx[22].end |
1912.794 |
transcript.whisperx[22].text |
開了黨團的會議以後我們所達成共識的立場跟院長還有其他各位黨團的代表報告謝謝如果各黨團沒有補充我們想請列席的官員來蔡宇書記長請發言好謝謝主席那我補充發言那我想 |
transcript.whisperx[23].start |
1914.307 |
transcript.whisperx[23].end |
1932.264 |
transcript.whisperx[23].text |
總預算在院長主持協商今天是第四次那這幾次的協商基本上民進黨團我們都是希望至少也要進行就是預算法所要求的相對應的程序那這部分我相信在這個質詢的過程中 |
transcript.whisperx[24].start |
1935.147 |
transcript.whisperx[24].end |
1959.46 |
transcript.whisperx[24].text |
那我看到卓院長也多次表達他的善意他認為說這些預算縱使要用任何方式用基金用第二預備金或者用追加預算的方式可以來談但是他認為預算法91條的程序也是一個必要的一個程序所以這部分是卓院長他在每位委員質詢的時候他所強調的一個重點那這也是我們黨團 |
transcript.whisperx[25].start |
1962.802 |
transcript.whisperx[25].end |
1979.137 |
transcript.whisperx[25].text |
我們主張的立場就是這個程序要進行你要要求行政院編更多預算就是要徵詢行政院同意然後由他們去找這個彌補資金的一個來源這個我想這個程序要跑在前面那之後 |
transcript.whisperx[26].start |
1979.957 |
transcript.whisperx[26].end |
1993.824 |
transcript.whisperx[26].text |
站在每位民意代表都希望可以爭取更多資源給我們的鄉親大家都這樣希望但是行政院有他財政紀律的考量那基於財政紀律考量的前提他們當然有他們應該要 |
transcript.whisperx[27].start |
1994.966 |
transcript.whisperx[27].end |
2015.924 |
transcript.whisperx[27].text |
遵守的財政紀律所以我們黨團是認為說在這樣的前提之下我們會當然同意這樣不管是怎樣的一個方案那我們也希望總預算已經拖到了現在已經11月了我們該讓總預算附委審查接下來附委後在各委員會還是大家可以秉持專業去要求 |
transcript.whisperx[28].start |
2017.905 |
transcript.whisperx[28].end |
2018.305 |
transcript.whisperx[28].text |
謝謝蔡宇書記長 請國民黨團二人發言 |
transcript.whisperx[29].start |
2044.037 |
transcript.whisperx[29].end |
2044.258 |
transcript.whisperx[29].text |
主席 |
transcript.whisperx[30].start |
2058.817 |
transcript.whisperx[30].end |
2078.171 |
transcript.whisperx[30].text |
在針對一些我們很多委員關心的 比如說這個原民進法補償條例的部分在預算上面要做什麼樣的修正可是問題是不管是說用綜合發展基金 或者是用二倍金 或者是用追加預算 |
transcript.whisperx[31].start |
2080.133 |
transcript.whisperx[31].end |
2091.165 |
transcript.whisperx[31].text |
我必須說我們並沒有聽到院長有一個很明確的答覆所以呢事實上我想今天我們在座也有關心的這個原民的委員那他們並沒有在這次的質詢裡面聽到相關比較明確的答覆 |
transcript.whisperx[32].start |
2100.354 |
transcript.whisperx[32].end |
2106.659 |
transcript.whisperx[32].text |
另外就是大家也知道還有另外的公糧收購的問題以及健保點值的問題那更沒有在這一次的質詢裡面我們聽到有任何的要怎麼樣的具體的補正的措施但是我們說實在我們已經講了很多次 |
transcript.whisperx[33].start |
2121.849 |
transcript.whisperx[33].end |
2126.614 |
transcript.whisperx[33].text |
其實作為在野黨 絕對比執政黨更想省預算我雖然不好用所謂的磨刀霍霍 但是所有的在野黨的委員都希望能夠在預算上面我們能夠作為一個看緊納稅人的荷包 然後做強而有力的監督者的角色 |
transcript.whisperx[34].start |
2145.171 |
transcript.whisperx[34].end |
2159.703 |
transcript.whisperx[34].text |
所以在野黨非常想審預算但是我們在之前我們幾個比如包含法定的預算到底要不要編列如何編列說實在到目前為止 |
transcript.whisperx[35].start |
2160.404 |
transcript.whisperx[35].end |
2167.372 |
transcript.whisperx[35].text |
我們沒有聽到一個很明確具體的答覆那更不要說剛才如同剛才之前那麼在我們兩位書記長跟黃總召所講的在健保點值跟在那個公糧收購的部分 |
transcript.whisperx[36].start |
2178.044 |
transcript.whisperx[36].end |
2185.973 |
transcript.whisperx[36].text |
更沒有任何的具體答覆所以我們還是希望還是希望行政院能不能就針對大家關心的議題能夠有一些比較具體的怎麼樣預算來做補正跟修正那麼我們也希望在做這些補正跟修正之後能夠盡快的 |
transcript.whisperx[37].start |
2197.085 |
transcript.whisperx[37].end |
2198.528 |
transcript.whisperx[37].text |
讓總預算副委:讓我們的在野黨的各個委員:也來肩負起整個嚴審預算的職責以上報告 謝謝 |
transcript.whisperx[38].start |
2211.866 |
transcript.whisperx[38].end |
2239.974 |
transcript.whisperx[38].text |
我們立場已經說明了那其實我再度的跟院長報告就黨團協商的現場我就想說盡量避免不要成為好像大家要在進行政治的攻防我覺得立場清楚就好了啦各自對自己所做的政治決定向人民負責我覺得這是民主社會民主政治就是責任政治嘛那至於說就其他的部分因為剛剛 |
transcript.whisperx[39].start |
2241.631 |
transcript.whisperx[39].end |
2251.464 |
transcript.whisperx[39].text |
我尊重院長等一下指揮的選擇但就我們第二輪的發言的部分因為我是不是可以得到院長的同意讓第二輪發言的時間交給齊凱委員幫農民講幾句話 |
transcript.whisperx[40].start |
2258.471 |
transcript.whisperx[40].end |
2283.706 |
transcript.whisperx[40].text |
那還是我們就先提行政機關的好 謝謝我知道 謝謝啊 包參委總召提醒說個別有些列席的委員總委員嘉賓 張委員齊凱都很關心 高金委員都很關心但是我想先聽一下行政部門那秘書長 主席長 還有各部會首長這是最後的黃金十分鐘 請大家發言發言完我們就要休息一下 協商了請主席長 請發言 |
transcript.whisperx[41].start |
2288.862 |
transcript.whisperx[41].end |
2311.533 |
transcript.whisperx[41].text |
請廣秘書長行政院態度是這樣剛剛很謝謝蔡議員大致上把我們的態度也做了一些說明昨天在總預算報告的時候也特別提到他說基於立法行政平衡跟互相尊重期盼兩院共同 |
transcript.whisperx[42].start |
2312.974 |
transcript.whisperx[42].end |
2322.641 |
transcript.whisperx[42].text |
遵守憲法第70條的憲政原理的精神以及預算法91條等原則規定跟必要的程序 |
transcript.whisperx[43].start |
2323.732 |
transcript.whisperx[43].end |
2351.762 |
transcript.whisperx[43].text |
按照這樣的預算審查共同而且唯一的原則來共同尋找妥適的解方如果朝野的政黨有這樣的共識的話那114年度的進法補償的經費行政院可以考量用適當的方式來支應那這個適當的方式我想我們剛剛大家都提到了不管是用這個綜合基金然後我們再用預算去補這個基金或者用二倍金 |
transcript.whisperx[44].start |
2352.702 |
transcript.whisperx[44].end |
2354.844 |
transcript.whisperx[44].text |
或追加預算﹚立法與行政互相尊重﹚ |
transcript.whisperx[45].start |
2378.797 |
transcript.whisperx[45].end |
2384.283 |
transcript.whisperx[45].text |
公務預算181億,健保總額明年本來會增加531億,所以也超過了700多億這個部分就讓衛福部來努力,大家的期待,這個點子方向來走 |
transcript.whisperx[46].start |
2400.051 |
transcript.whisperx[46].end |
2400.371 |
transcript.whisperx[46].text |
陳主席 |
transcript.whisperx[47].start |
2419.572 |
transcript.whisperx[47].end |
2445.801 |
transcript.whisperx[47].text |
是 院長 那我們也是在基於立法行政平衡和互相尊重然後共同遵守憲法第70條的一個精神和預算法第91條的原則的原則下 那我們以來能夠來共同延長妥適的一個解方 那這適當的一個解方呢 就上次我也上次一再的談到就是說 第一個我用那個 |
transcript.whisperx[48].start |
2447.048 |
transcript.whisperx[48].end |
2447.528 |
transcript.whisperx[48].text |
首先感謝各黨團的委員這麼關心 |
transcript.whisperx[49].start |
2473.17 |
transcript.whisperx[49].end |
2487.586 |
transcript.whisperx[49].text |
醫療環境的改善站在我過去當任多年的醫事公會理事長不管是前國的或台北市還有就是也當了七八年的立委現在很多委員前輩們 |
transcript.whisperx[50].start |
2489.273 |
transcript.whisperx[50].end |
2517.127 |
transcript.whisperx[50].text |
執行的時候都拿我以前講的話出來 review 一下這樣子所以我覺得我們的心都是一樣的要把醫療環境改善醫療工作同仁的待遇他們的專業受到尊重人民的健康得到保障還有醫療援手可以順利的來經營這個我想我們的心都是一致的那我在這邊還是要跟各位報告我覺得行政院已經拿出最大的誠意 |
transcript.whisperx[51].start |
2517.793 |
transcript.whisperx[51].end |
2540.353 |
transcript.whisperx[51].text |
那在有史以來有幾個突破的點以前我們健保用很多其實是公務預算公務預算的事情他馬上弄到塞到健保這個時候在這一次全部幾乎清出來這是一個非常可能是二三十年來第一次的非常大的突破我覺得這次行政院真的很願意幫忙 |
transcript.whisperx[52].start |
2542.491 |
transcript.whisperx[52].end |
2551.882 |
transcript.whisperx[52].text |
這樣讓總部的空間就會多很多另外就是當然在健康台灣的領域裏面也補了很多很多比如說我們過去試癌的篩檢 |
transcript.whisperx[53].start |
2553.135 |
transcript.whisperx[53].end |
2581.014 |
transcript.whisperx[53].text |
還有成人的健檢我想大家都接受過以前可能400塊現在的預算是800可以到800塊所以很多的醫院醫療院所都願意來更加的積極來創造一個人民更大的健康還有一個更重要的總額的總額的協商那是很重要那總額的成長高推估率5.5這也是創有史以來最高的那也就是那等於是說這個部分可以多了大概500 |
transcript.whisperx[54].start |
2583.123 |
transcript.whisperx[54].end |
2600.188 |
transcript.whisperx[54].text |
三十一億這個跟公務預算又是另外一回事也是在總額裡面的成長所以感謝在國發會其實行政院也很幫忙那我們也可以用我們當時提出來是等於是最高的所以是有史以來最高所以大概有多五百多億那再加上那個 |
transcript.whisperx[55].start |
2601.284 |
transcript.whisperx[55].end |
2616.732 |
transcript.whisperx[55].text |
剛剛提的支出面當然有關行政院役助健保財務大概有336億其中有些是到安全基金我們先是講支出面公務預算大概提供181億然後加上總額的530億所以大概有712億的一個可以來用在支出面 |
transcript.whisperx[56].start |
2626.601 |
transcript.whisperx[56].end |
2635.829 |
transcript.whisperx[56].text |
那我也跟議界的朋友講就大家也很感謝各位委員的幫忙因為總合專制制度是一種 |
transcript.whisperx[57].start |
2637.634 |
transcript.whisperx[57].end |
2659.635 |
transcript.whisperx[57].text |
是一種不是說一就一二就二啦但是可以來協商總共有六區在協商所以每一個區有每一個區的制度我們只要給他資源夠然後他們再好好的節省因為畢竟人民我們健保是大家所滿意的就是不要讓人民負擔太大但是弱者可以得到照顧這個連醫者的情懷都能夠堅持齁 |
transcript.whisperx[58].start |
2661.597 |
transcript.whisperx[58].end |
2685.857 |
transcript.whisperx[58].text |
所以都能夠了解 所以他們很願意在這樣的基礎之下很努力都用在刀口上在行政院已經支持這麼多的情況之下把人民的健康做好 把點子也必須盡量在節省在醫療體系的改革之下 努力之下讓點子能夠提升到我們大家的一個共識 |
transcript.whisperx[59].start |
2687.059 |
transcript.whisperx[59].end |
2711.648 |
transcript.whisperx[59].text |
我想這樣的一個應該是可以激發各位的照顧各位的支持應該可以激發還有一個很重要就是我們有60億的深耕計畫這60億的深耕計畫也是非常特別這個是創造醫界的智慧來怎麼樣當工作模式怎麼樣在一個工作環境照顧護理人員或照顧 |
transcript.whisperx[60].start |
2712.568 |
transcript.whisperx[60].end |
2712.688 |
transcript.whisperx[60].text |
以上報告,謝謝 |
transcript.whisperx[61].start |
2742.47 |
transcript.whisperx[61].end |
2772.016 |
transcript.whisperx[61].text |
邱部長您這個施政報告講得非常好,重點是可不可以到0.95,可能大家想聽這個,因為我覺得你已經進了很大力,但有沒有把握到0.95?因為0.9幾的其實是管理的定義,我稍微這樣講,譬如說醫院如果你要,我就定0.95,但是在服務量的方面,可能他就會有一定的限制 |
transcript.whisperx[62].start |
2773.691 |
transcript.whisperx[62].end |
2801.127 |
transcript.whisperx[62].text |
我要訂零零就要訂零零一點,一點也沒問題啊所以總和這個制度就是這樣子有一個數據了,但是我覺得是不是資源夠到我們的工作同仁應該有的好的環境應該有的待遇,還有民眾的健康得到保障那另外我們也公布預算,另外有編那個癌癌癌癥心療基金這個也是很有史以來,讓癌癥真的需要的人也有 |
transcript.whisperx[63].start |
2802.353 |
transcript.whisperx[63].end |
2827.684 |
transcript.whisperx[63].text |
這些都是福果利民的事情那都是在各位委員真的是大家支持之下已經有創造最好的一個醫療環境所以我才說 上次我在協商我才說 院長各位委員就容許給我們一點時間我們把它創造到點子好所以點子這件事情能不能達到我們只能講盡力 |
transcript.whisperx[64].start |
2829.435 |
transcript.whisperx[64].end |
2855.385 |
transcript.whisperx[64].text |
只能講盡力啦,因為搞不好可以到達0.6、0.70.9、0.6、0.9、對不起,0.9、0.6、不一定是0.9最重要是資源夠不夠的問題,那要做有沒有意義的事情我身為一個台大醫學院的教授那麼多年,我教出來的學生就是讓他有資源去做專業的事情但是我們不要浪費一毛錢,但是不夠的時候當然也感謝大家 |
transcript.whisperx[65].start |
2857.81 |
transcript.whisperx[65].end |
2883.578 |
transcript.whisperx[65].text |
還有一個比較我們不忍心去提升民眾的保惠所以我當時比較早期就有覺得說我們先不要考慮提升民眾的保惠我們先我們自己行政院提出公務預算然後我們也給我們在總額裡面最大的空間我覺得只要大家管理好的話其實點子要多少那只是一個數目的處理而已但是我覺得這樣的資源 |
transcript.whisperx[66].start |
2884.884 |
transcript.whisperx[66].end |
2893.317 |
transcript.whisperx[66].text |
讓我們醫界拿著這樣充分的資源趕快去衝 趕快去為人民的健康努力我想這個是我們所期待的 謝謝 |
transcript.whisperx[67].start |
2894.779 |
transcript.whisperx[67].end |
2921.93 |
transcript.whisperx[67].text |
邱部長容我提醒你一下上次在這裡協商你是說給你一年的時間你一定會全力以赴那講得很讓人那時候感覺很真情真情流露所以你剛剛講時間我提醒你你講一年的時間你全力去衝我今天再跟你討論一下我會很負責任的願意跟EJ而且EJ也很跟我講說他們一定會全力以赴來配合這樣的資源 |
transcript.whisperx[68].start |
2923.12 |
transcript.whisperx[68].end |
2923.32 |
transcript.whisperx[68].text |
主席主席 |
transcript.whisperx[69].start |
2948.851 |
transcript.whisperx[69].end |
2963.197 |
transcript.whisperx[69].text |
好,謝謝曾主委,那接下來請農業部陳部長好,院長、各位委員,那有關公糧的議題,就是我們目前所替代的這個推的一級二轉參加方案,我就不提了我想從農業部的角度去思考這個問題 |
transcript.whisperx[70].start |
2964.577 |
transcript.whisperx[70].end |
2990.088 |
transcript.whisperx[70].text |
那因為公糧的這個稻米的這些收購它不是純粹百分之百都繳公糧它有兩個部分一個部分是繳公糧另外一個部分是由民間的民糧去收購的部分所以我們當初第一個在考慮的說如果今天公糧提高五塊的話那相對於一起做就一個一公頃的話多三萬塊 |
transcript.whisperx[71].start |
2991.949 |
transcript.whisperx[71].end |
3007.783 |
transcript.whisperx[71].text |
二期做的話將近兩萬兩千塊左右換句話說一年的話整個稻谷本身的農民的每公頃的價格的提升他的收益提升可以達到五萬兩千塊左右 |
transcript.whisperx[72].start |
3009.484 |
transcript.whisperx[72].end |
3025.923 |
transcript.whisperx[72].text |
這是政府支撐的可是它只支撐了百分之三十的部分那我剛才說的百分之七十都是民糧的收購的那民糧的收購以這樣子迅速的去拉到五塊錢這樣的一個強度的時候民糧是跟不上的 |
transcript.whisperx[73].start |
3026.645 |
transcript.whisperx[73].end |
3046.016 |
transcript.whisperx[73].text |
民糧跟不上的時候,原來的民糧的這些農民的棄作戶,他因為公糧的價格高的時候,他就轉向公糧過來了那換句話說,公糧本身都是依靠他的品牌,他的稻米的品質,去支撐他的一個收益 |
transcript.whisperx[74].start |
3047.777 |
transcript.whisperx[74].end |
3075.418 |
transcript.whisperx[74].text |
當他沒有這樣的一個企作的時候那相對的整個品牌或者是U紙米的那個數量就會降低這是我想我們第一點考量的第二個部分就是其實剛才我講歷次很多委員也都認同就是繳公糧的人他通常都會去沖他的產量然後不是那麼care他的品質那當他沖產量的時候整個栽培制度包括施用比較高的蛋肥 |
transcript.whisperx[75].start |
3075.998 |
transcript.whisperx[75].end |
3076.018 |
transcript.whisperx[75].text |
委員會議員 |
transcript.whisperx[76].start |
3099.5 |
transcript.whisperx[76].end |
3123.575 |
transcript.whisperx[76].text |
中一些種植不重量的這個習慣那種植不重量的時候那這樣子我公糧未來收的這些產品我也可以瞬間釋放到市場去那市場也可以當品牌米我希望說民糧跟公糧的那個稻米的品質要一致性那這樣的話兩個水庫在互通的時候不但能夠確保我們的糧食安全 |
transcript.whisperx[77].start |
3124.155 |
transcript.whisperx[77].end |
3124.275 |
transcript.whisperx[77].text |
主席 |
transcript.whisperx[78].start |
3146.556 |
transcript.whisperx[78].end |
3172.324 |
transcript.whisperx[78].text |
重質不重量的一個重道的一個觀念的改變然後對品質的改變希望說是透過我們的產品的價值去提升它的收益而不是靠政府的直接的一個補貼這個是我想我們一直希望在引導的這樣的一個過程所以我們院長其實也指示的非常明確就是在我們現在目前的一級二轉三加三的基礎之下 |
transcript.whisperx[79].start |
3173.044 |
transcript.whisperx[79].end |
3198.794 |
transcript.whisperx[79].text |
我們在明年度一定要好好的去檢討整體的公糧的整個政策那公糧的政策絕對不是只有提高公糧價格這一件事情而已事實上他也考慮到整個公糧收購的數量因為我們現在有計劃輔導跟餘糧甚至於現在我們因為天然災害的話我們又開了一些災害股那另外還有就是不同的 |
transcript.whisperx[80].start |
3199.969 |
transcript.whisperx[80].end |
3201.191 |
transcript.whisperx[80].text |
委員長和在座委員說明一下 |
transcript.whisperx[81].start |
3220.313 |
transcript.whisperx[81].end |
3236.559 |
transcript.whisperx[81].text |
我們100年提高了3塊加2塊錢的烘乾費以後其實這幾年來我們推的到做試選餐等相關的因素我們現在的民糧的價格其實是遠比100年的價格高了大概將近每百台幣將近100塊100多塊一點相當於大概3塊錢每公斤相當於3塊錢 |
transcript.whisperx[82].start |
3243.422 |
transcript.whisperx[82].end |
3268.181 |
transcript.whisperx[82].text |
所以很多人認為就是說我們在推的這個極端產區是沒有效果的可是我們可以用實際的數據去跟委員說明其實比照一下我們的整個的稻穀的價格大概每一公斤大概提高了3塊錢那沒有錯這個3塊錢大概都是用民糧去撐的所以換句話說民糧的價格去支撐才是讓我們產業永續經營的最重要的目標 |
transcript.whisperx[83].start |
3271.784 |
transcript.whisperx[83].end |
3272.105 |
transcript.whisperx[83].text |
立法院黨委員 |
transcript.whisperx[84].start |
3280.014 |
transcript.whisperx[84].end |
3303.685 |
transcript.whisperx[84].text |
再一次的循環 再一次的循環那其實我們在最後一個我要跟各位委員說明的就是其實稻米的部分我剛才說的大概70%的是民糧在攪的特別在東部地區有非常好的有機米這些優質的米其實他們都不攪公糧的所以他們也擔心當我公糧一拉高了以後就回到我低點的論述 |
transcript.whisperx[85].start |
3304.865 |
transcript.whisperx[85].end |
3316.904 |
transcript.whisperx[85].text |
這些原來棄作的他就放棄了他原來的有機栽培他放棄了他原來的這些棄作他乾脆去繳公糧他的價格會比較好所以這是從農業部的角度去看 |
transcript.whisperx[86].start |
3317.858 |
transcript.whisperx[86].end |
3317.878 |
transcript.whisperx[86].text |
委員長 |
transcript.whisperx[87].start |
3335.293 |
transcript.whisperx[87].end |
3338.955 |
transcript.whisperx[87].text |
謝謝各位列席的關於的發言完畢我想我們先休息10分鐘我們來討論一下好 謝謝休息 |
transcript.whisperx[88].start |
5038.015 |
transcript.whisperx[88].end |
5050.162 |
transcript.whisperx[88].text |
好各位黨團幹部請坐我們先列一下我們暫時的一個協商結論請各位黨團幹部能夠請聽一下大家仔細聽一下謝謝我們決定兩點齁 |
transcript.whisperx[89].start |
5055.712 |
transcript.whisperx[89].end |
5077.627 |
transcript.whisperx[89].text |
時間113年4月5日下午量60地點紅樓302協商主題延長114年度中央政府總預算及中央政府前端預算基礎建設第五期特別預算相關事宜決定事情兩點一為維護國會尊嚴針對原住民進法補償公糧收購及健保點子等預算編列事宜於11月7日 以前 |
transcript.whisperx[90].start |
5079.568 |
transcript.whisperx[90].end |
5102.004 |
transcript.whisperx[90].text |
由行政院長邀請本院在野黨團及執政黨黨團會面表示處理上開預算解決方案及誠意二、各黨團同意有關一百一四年度中央政府總預算及中央政府前瞻基礎建設計畫第五期特別預算案之各項提議均保留送院會依提案先後順序進行處理 |
transcript.whisperx[91].start |
5103.645 |
transcript.whisperx[91].end |
5108.189 |
transcript.whisperx[91].text |
並定於11月8日星期五列入院會議程與討論事項前處理 |
transcript.whisperx[92].start |
5124.686 |
transcript.whisperx[92].end |
5142.826 |
transcript.whisperx[92].text |
主席可以發言就院長所運你的這個協商結論第二點是說這個兩個案子依先後的順序進行處理就是民進黨有提一個案希望複為審查的然後國民黨團也提出一個案 |
transcript.whisperx[93].start |
5143.507 |
transcript.whisperx[93].end |
5143.667 |
transcript.whisperx[93].text |
請國民黨團發言 |
transcript.whisperx[94].start |
5166.946 |
transcript.whisperx[94].end |
5167.106 |
transcript.whisperx[94].text |
請臺灣民眾黨發言 |
transcript.whisperx[95].start |
5195.578 |
transcript.whisperx[95].end |
5203.032 |
transcript.whisperx[95].text |
對我們那個處理的方式齁我們會有一個正式的提案那如果反正大家都留下來了嘛今天把它處理一下 |
transcript.whisperx[96].start |
5204.943 |
transcript.whisperx[96].end |
5231.465 |
transcript.whisperx[96].text |
我們請議事處高處長補充報告稍等 麻煩林法院跟各位黨員報告齁如果草野協商結論大家目前有共識就是等一下院會要來進行有關總預算案還有前瞻特別預算案各黨團及委員所提出的提議我們就依先後方式提依先後來進行表決那我跟大家講院會的處理方式等一下我們就是報告院會現在繼續開會 |
transcript.whisperx[97].start |
5233.647 |
transcript.whisperx[97].end |
5252.945 |
transcript.whisperx[97].text |
來處理這個總預算案跟特別預算案的後續事宜先處理總預算案的部分請宣讀各黨團的提議一先後來進行處理那目前民進黨所提的總預算案就是正常就是復違因為這個是要大家有共識就這樣處理然後接下來再處理民進黨因為現在民眾黨還沒提那民眾黨如果提 |
transcript.whisperx[98].start |
5254.617 |
transcript.whisperx[98].end |
5274.63 |
transcript.whisperx[98].text |
國民黨有提了嘛提過來了那總預算就這樣處理然後這個總預算處理完之後就依哪個黨團的提議通過做一個決定然後接下來繼續處理特別預算案部分那特別預算案部分感覺上大家如果是本來如果現在就有共識就可以簽出一個協商結論我們等一下根本就協商就唸完這個特別預算案 |
transcript.whisperx[99].start |
5275.31 |
transcript.whisperx[99].end |
5277.211 |
transcript.whisperx[99].text |
現在高處長是分兩部分麻煩等一下請各黨團幹部發言可以加入討論 |
transcript.whisperx[100].start |
5301.468 |
transcript.whisperx[100].end |
5301.648 |
transcript.whisperx[100].text |
主席 |
transcript.whisperx[101].start |
5318.399 |
transcript.whisperx[101].end |
5318.519 |
transcript.whisperx[101].text |
前瞻基礎建設703億 |
transcript.whisperx[102].start |
5344.826 |
transcript.whisperx[102].end |
5345.467 |
transcript.whisperx[102].text |
復位審查復位審查復位審查 |
transcript.whisperx[103].start |
5373.268 |
transcript.whisperx[103].end |
5401.471 |
transcript.whisperx[103].text |
再邀請各黨團去會面再開一次會是是這樣子的很明確是要請卓院長邀請各黨團第一個要看各黨團又不願意第二個當然因為行政院代表不見了不在了不在了就是這個部分我們再確認一下因為如果說這是大家協商的公司當然院長也應當配合來辦理只是這看看各黨團的 |
transcript.whisperx[104].start |
5403.311 |
transcript.whisperx[104].end |
5427.722 |
transcript.whisperx[104].text |
那我希望第一句話維護國會尊嚴 國會尊嚴及行政立法互動的平等大家對話這樣子那是不是我再把它加一個第三點然後大家再休息溝通一下然後再看要不要簽這樣子我加一個第三點下去加第三點下去那個 |
transcript.whisperx[105].start |
5432.731 |
transcript.whisperx[105].end |
5457.151 |
transcript.whisperx[105].text |
那那個 剛才我們高處長所報告的那個 國民黨團沒有意見嗎那個 由 院長邀請這一點 我們沒有意見啦那前瞻我們是 前瞻這部分我們是認為要一併處理 要一併處理就是說今天也要 我們有意見啦 說今天要通過我們有意見喔是 今天前瞻的部分我們還是認為就是一起 跟總預算一起來赴為喔 就不要分開啦 |
transcript.whisperx[106].start |
5460.184 |
transcript.whisperx[106].end |
5462.846 |
transcript.whisperx[106].text |
總預算提議均保留送院會處理,特別預算各黨團同意交財委會處理 |
transcript.whisperx[107].start |
5513.308 |
transcript.whisperx[107].end |
5535.707 |
transcript.whisperx[107].text |
這是院長的好意因為大家可以思量看看總預算大家關切的部分總預算可以再溝通但是前瞻只剩下最後一期了703億先讓他負為審查大家也爭取我們嚴格把關預算的空間跟時間這勞煩大家可以支持 |
transcript.whisperx[108].start |
5956.306 |
transcript.whisperx[108].end |
5983.791 |
transcript.whisperx[108].text |
好 各位黨團幹部請坐謝謝我們經過溝通我們現在運營一個黨團協商結論請各位黨團幹部仔細聆聽時間113年11月5日星期二下午6點地點紅樓302會議室協商主題延伸114年度中央政府總預算案及中央政府前瞻基礎建設計劃第五期特別預算案相關事宜決定事項一 |
transcript.whisperx[109].start |
5985.732 |
transcript.whisperx[109].end |
6008.286 |
transcript.whisperx[109].text |
為立法行政兩院和諧互動,針對原住民進法補償、公糧收購及健保點值等預算編列事宜於11月7日 之前,由行政院院長邀請本院在野黨團、執政黨黨團會面,表示處理上開預算解決方案及誠意 |
transcript.whisperx[110].start |
6009.417 |
transcript.whisperx[110].end |
6033.463 |
transcript.whisperx[110].text |
二 各黨團同意有關110年度中央政府總預算案之各項提議均保留送院會一提案先後順序進行處理三 各黨團同意有關中央政府前瞻基礎建設計畫第五期特別預算案之各項提議均保留送院會一提案先後順序進行處理請問各位黨團幹部有沒有意見 |
transcript.whisperx[111].start |
6035.711 |
transcript.whisperx[111].end |
6038.633 |
transcript.whisperx[111].text |
沒有意見我們現在簽字完畢之後我們定7點40分進院會進行表決謝謝大家 |
IVOD_ID |
16230 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Full/1M/16230 |
日期 |
2024-11-05 |
會議資料.會議代碼 |
黨團協商-2024110553 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.種類 |
黨團協商 |
會議資料.標題 |
立法院朝野黨團協商 |
影片種類 |
Full |
開始時間 |
2024-11-05T17:40:38+08:00 |
結束時間 |
2024-11-05T19:22:00+08:00 |
支援功能[0] |
ai-transcript |