iVOD / 15326

Field Value
IVOD_ID 15326
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/15326
日期 2023-12-04
會議資料.會議代碼 委員會-10-8-20-18
會議資料.會議代碼:str 第10屆第8會期財政委員會第18次全體委員會議
會議資料.屆 10
會議資料.會期 8
會議資料.會次 18
會議資料.種類 委員會
會議資料.委員會代碼[0] 20
會議資料.委員會代碼:str[0] 財政委員會
會議資料.標題 第10屆第8會期財政委員會第18次全體委員會議
影片種類 Full
開始時間 2023-12-04T08:36:41+08:00
結束時間 2023-12-04T11:53:00+08:00
影片長度 03:16:19
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/b41997f390c3528ea9f2818acb4c29c5c2e91769a1d91c6146d53a332764a535499df3513c70191f5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2023-12-04T09:00:00+08:00
會議名稱 立法院第10屆第8會期財政委員會第18次全體委員會議(事由:邀請財政部莊部長翠雲就「資安疑慮頻傳,如何強化財稅機關及公股行庫資安防護與區域聯防」進行專題報告,並備質詢。)
委員名稱 完整會議
委員發言時間 08:36:41 - 11:53:00
transcript.pyannote[0].speaker SPEAKER_20
transcript.pyannote[0].start 1457.33909375
transcript.pyannote[0].end 1460.37659375
transcript.pyannote[1].speaker SPEAKER_14
transcript.pyannote[1].start 1460.76471875
transcript.pyannote[1].end 1463.34659375
transcript.pyannote[2].speaker SPEAKER_20
transcript.pyannote[2].start 1466.48534375
transcript.pyannote[2].end 1471.36221875
transcript.pyannote[3].speaker SPEAKER_20
transcript.pyannote[3].start 1471.80096875
transcript.pyannote[3].end 1471.81784375
transcript.pyannote[4].speaker SPEAKER_18
transcript.pyannote[4].start 1471.81784375
transcript.pyannote[4].end 1482.28034375
transcript.pyannote[5].speaker SPEAKER_20
transcript.pyannote[5].start 1483.90034375
transcript.pyannote[5].end 1493.68784375
transcript.pyannote[6].speaker SPEAKER_20
transcript.pyannote[6].start 1498.14284375
transcript.pyannote[6].end 1500.10034375
transcript.pyannote[7].speaker SPEAKER_20
transcript.pyannote[7].start 1502.71596875
transcript.pyannote[7].end 1504.92659375
transcript.pyannote[8].speaker SPEAKER_20
transcript.pyannote[8].start 1507.10346875
transcript.pyannote[8].end 1508.85846875
transcript.pyannote[9].speaker SPEAKER_20
transcript.pyannote[9].start 1511.20409375
transcript.pyannote[9].end 1512.79034375
transcript.pyannote[10].speaker SPEAKER_20
transcript.pyannote[10].start 1515.01784375
transcript.pyannote[10].end 1516.84034375
transcript.pyannote[11].speaker SPEAKER_20
transcript.pyannote[11].start 1519.25346875
transcript.pyannote[11].end 1521.36284375
transcript.pyannote[12].speaker SPEAKER_20
transcript.pyannote[12].start 1523.77596875
transcript.pyannote[12].end 1526.23971875
transcript.pyannote[13].speaker SPEAKER_20
transcript.pyannote[13].start 1528.93971875
transcript.pyannote[13].end 1529.90159375
transcript.pyannote[14].speaker SPEAKER_20
transcript.pyannote[14].start 1532.09534375
transcript.pyannote[14].end 1534.77846875
transcript.pyannote[15].speaker SPEAKER_20
transcript.pyannote[15].start 1538.15346875
transcript.pyannote[15].end 1540.81971875
transcript.pyannote[16].speaker SPEAKER_20
transcript.pyannote[16].start 1543.43534375
transcript.pyannote[16].end 1544.61659375
transcript.pyannote[17].speaker SPEAKER_20
transcript.pyannote[17].start 1547.02971875
transcript.pyannote[17].end 1549.69596875
transcript.pyannote[18].speaker SPEAKER_20
transcript.pyannote[18].start 1551.72096875
transcript.pyannote[18].end 1552.73346875
transcript.pyannote[19].speaker SPEAKER_20
transcript.pyannote[19].start 1555.31534375
transcript.pyannote[19].end 1560.12471875
transcript.pyannote[20].speaker SPEAKER_20
transcript.pyannote[20].start 1562.30159375
transcript.pyannote[20].end 1563.12846875
transcript.pyannote[21].speaker SPEAKER_20
transcript.pyannote[21].start 1565.84534375
transcript.pyannote[21].end 1567.78596875
transcript.pyannote[22].speaker SPEAKER_20
transcript.pyannote[22].start 1570.65471875
transcript.pyannote[22].end 1571.61659375
transcript.pyannote[23].speaker SPEAKER_20
transcript.pyannote[23].start 1573.87784375
transcript.pyannote[23].end 1578.43409375
transcript.pyannote[24].speaker SPEAKER_20
transcript.pyannote[24].start 1579.21034375
transcript.pyannote[24].end 1580.57721875
transcript.pyannote[25].speaker SPEAKER_20
transcript.pyannote[25].start 1581.89346875
transcript.pyannote[25].end 1584.54284375
transcript.pyannote[26].speaker SPEAKER_20
transcript.pyannote[26].start 1586.88846875
transcript.pyannote[26].end 1589.25096875
transcript.pyannote[27].speaker SPEAKER_20
transcript.pyannote[27].start 1591.51221875
transcript.pyannote[27].end 1592.44034375
transcript.pyannote[28].speaker SPEAKER_20
transcript.pyannote[28].start 1595.08971875
transcript.pyannote[28].end 1600.82721875
transcript.pyannote[29].speaker SPEAKER_20
transcript.pyannote[29].start 1605.31596875
transcript.pyannote[29].end 1609.14659375
transcript.pyannote[30].speaker SPEAKER_20
transcript.pyannote[30].start 1612.08284375
transcript.pyannote[30].end 1612.99409375
transcript.pyannote[31].speaker SPEAKER_20
transcript.pyannote[31].start 1615.40721875
transcript.pyannote[31].end 1618.10721875
transcript.pyannote[32].speaker SPEAKER_20
transcript.pyannote[32].start 1620.82409375
transcript.pyannote[32].end 1623.84471875
transcript.pyannote[33].speaker SPEAKER_20
transcript.pyannote[33].start 1625.93721875
transcript.pyannote[33].end 1626.89909375
transcript.pyannote[34].speaker SPEAKER_20
transcript.pyannote[34].start 1628.60346875
transcript.pyannote[34].end 1630.56096875
transcript.pyannote[35].speaker SPEAKER_20
transcript.pyannote[35].start 1632.99096875
transcript.pyannote[35].end 1634.77971875
transcript.pyannote[36].speaker SPEAKER_20
transcript.pyannote[36].start 1637.56409375
transcript.pyannote[36].end 1638.52596875
transcript.pyannote[37].speaker SPEAKER_20
transcript.pyannote[37].start 1641.10784375
transcript.pyannote[37].end 1644.09471875
transcript.pyannote[38].speaker SPEAKER_20
transcript.pyannote[38].start 1646.17034375
transcript.pyannote[38].end 1647.18284375
transcript.pyannote[39].speaker SPEAKER_20
transcript.pyannote[39].start 1649.14034375
transcript.pyannote[39].end 1651.73909375
transcript.pyannote[40].speaker SPEAKER_20
transcript.pyannote[40].start 1653.73034375
transcript.pyannote[40].end 1654.69221875
transcript.pyannote[41].speaker SPEAKER_20
transcript.pyannote[41].start 1656.24471875
transcript.pyannote[41].end 1658.84346875
transcript.pyannote[42].speaker SPEAKER_20
transcript.pyannote[42].start 1662.58971875
transcript.pyannote[42].end 1666.69034375
transcript.pyannote[43].speaker SPEAKER_20
transcript.pyannote[43].start 1666.84221875
transcript.pyannote[43].end 1672.24221875
transcript.pyannote[44].speaker SPEAKER_20
transcript.pyannote[44].start 1672.69784375
transcript.pyannote[44].end 1678.82346875
transcript.pyannote[45].speaker SPEAKER_14
transcript.pyannote[45].start 1684.81409375
transcript.pyannote[45].end 1697.68971875
transcript.pyannote[46].speaker SPEAKER_14
transcript.pyannote[46].start 1697.99346875
transcript.pyannote[46].end 1703.61284375
transcript.pyannote[47].speaker SPEAKER_14
transcript.pyannote[47].start 1703.84909375
transcript.pyannote[47].end 1706.58284375
transcript.pyannote[48].speaker SPEAKER_14
transcript.pyannote[48].start 1706.66721875
transcript.pyannote[48].end 1710.04221875
transcript.pyannote[49].speaker SPEAKER_14
transcript.pyannote[49].start 1710.27846875
transcript.pyannote[49].end 1767.45096875
transcript.pyannote[50].speaker SPEAKER_14
transcript.pyannote[50].start 1768.05846875
transcript.pyannote[50].end 1783.04346875
transcript.pyannote[51].speaker SPEAKER_14
transcript.pyannote[51].start 1783.21221875
transcript.pyannote[51].end 1787.31284375
transcript.pyannote[52].speaker SPEAKER_14
transcript.pyannote[52].start 1788.40971875
transcript.pyannote[52].end 1864.29659375
transcript.pyannote[53].speaker SPEAKER_14
transcript.pyannote[53].start 1865.14034375
transcript.pyannote[53].end 1878.58971875
transcript.pyannote[54].speaker SPEAKER_14
transcript.pyannote[54].start 1879.12971875
transcript.pyannote[54].end 1896.49409375
transcript.pyannote[55].speaker SPEAKER_14
transcript.pyannote[55].start 1896.52784375
transcript.pyannote[55].end 1905.69096875
transcript.pyannote[56].speaker SPEAKER_20
transcript.pyannote[56].start 1906.85534375
transcript.pyannote[56].end 1908.12096875
transcript.pyannote[57].speaker SPEAKER_20
transcript.pyannote[57].start 1910.02784375
transcript.pyannote[57].end 1927.05471875
transcript.pyannote[58].speaker SPEAKER_14
transcript.pyannote[58].start 1931.02034375
transcript.pyannote[58].end 1931.67846875
transcript.pyannote[59].speaker SPEAKER_20
transcript.pyannote[59].start 1931.81346875
transcript.pyannote[59].end 1934.86784375
transcript.pyannote[60].speaker SPEAKER_20
transcript.pyannote[60].start 1936.96034375
transcript.pyannote[60].end 1937.28096875
transcript.pyannote[61].speaker SPEAKER_11
transcript.pyannote[61].start 1939.62659375
transcript.pyannote[61].end 1940.04846875
transcript.pyannote[62].speaker SPEAKER_20
transcript.pyannote[62].start 1941.71909375
transcript.pyannote[62].end 1943.27159375
transcript.pyannote[63].speaker SPEAKER_20
transcript.pyannote[63].start 1958.72909375
transcript.pyannote[63].end 1959.08346875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 1980.14346875
transcript.pyannote[64].end 1980.83534375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 1981.91534375
transcript.pyannote[65].end 1990.72409375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 1991.50034375
transcript.pyannote[66].end 1993.35659375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 1993.71096875
transcript.pyannote[67].end 1994.33534375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 1999.97159375
transcript.pyannote[68].end 2000.61284375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 2001.59159375
transcript.pyannote[69].end 2002.21596875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 2002.87409375
transcript.pyannote[70].end 2006.13096875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 2006.41784375
transcript.pyannote[71].end 2009.79284375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 2010.41721875
transcript.pyannote[72].end 2021.74034375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 2021.99346875
transcript.pyannote[73].end 2022.02721875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 2022.06096875
transcript.pyannote[74].end 2022.61784375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 2023.59659375
transcript.pyannote[75].end 2023.61346875
transcript.pyannote[76].speaker SPEAKER_14
transcript.pyannote[76].start 2023.61346875
transcript.pyannote[76].end 2034.29534375
transcript.pyannote[77].speaker SPEAKER_14
transcript.pyannote[77].start 2035.32471875
transcript.pyannote[77].end 2045.98971875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 2045.12909375
transcript.pyannote[78].end 2047.47471875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 2047.82909375
transcript.pyannote[79].end 2048.16659375
transcript.pyannote[80].speaker SPEAKER_14
transcript.pyannote[80].start 2047.84596875
transcript.pyannote[80].end 2063.92784375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 2064.04596875
transcript.pyannote[81].end 2072.43284375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 2072.78721875
transcript.pyannote[82].end 2095.70346875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 2096.54721875
transcript.pyannote[83].end 2120.59409375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 2121.06659375
transcript.pyannote[84].end 2122.34909375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 2122.63596875
transcript.pyannote[85].end 2123.07471875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 2123.47971875
transcript.pyannote[86].end 2133.55409375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 2133.75659375
transcript.pyannote[87].end 2143.93221875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 2144.67471875
transcript.pyannote[88].end 2144.69159375
transcript.pyannote[89].speaker SPEAKER_14
transcript.pyannote[89].start 2144.69159375
transcript.pyannote[89].end 2214.70596875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 2193.22409375
transcript.pyannote[90].end 2193.42659375
transcript.pyannote[91].speaker SPEAKER_16
transcript.pyannote[91].start 2193.42659375
transcript.pyannote[91].end 2193.47721875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 2193.47721875
transcript.pyannote[92].end 2193.64596875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 2214.79034375
transcript.pyannote[93].end 2224.71284375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 2225.10096875
transcript.pyannote[94].end 2225.96159375
transcript.pyannote[95].speaker SPEAKER_14
transcript.pyannote[95].start 2225.16846875
transcript.pyannote[95].end 2225.57346875
transcript.pyannote[96].speaker SPEAKER_14
transcript.pyannote[96].start 2226.19784375
transcript.pyannote[96].end 2248.35471875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 2246.48159375
transcript.pyannote[97].end 2247.00471875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 2247.30846875
transcript.pyannote[98].end 2253.68721875
transcript.pyannote[99].speaker SPEAKER_14
transcript.pyannote[99].start 2253.68721875
transcript.pyannote[99].end 2253.70409375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 2253.70409375
transcript.pyannote[100].end 2253.77159375
transcript.pyannote[101].speaker SPEAKER_14
transcript.pyannote[101].start 2253.77159375
transcript.pyannote[101].end 2268.79034375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 2253.88971875
transcript.pyannote[102].end 2253.90659375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 2268.62159375
transcript.pyannote[103].end 2294.60909375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 2295.03096875
transcript.pyannote[104].end 2300.22846875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 2300.48159375
transcript.pyannote[105].end 2301.74721875
transcript.pyannote[106].speaker SPEAKER_14
transcript.pyannote[106].start 2301.74721875
transcript.pyannote[106].end 2301.78096875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 2301.78096875
transcript.pyannote[107].end 2301.79784375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 2302.87784375
transcript.pyannote[108].end 2302.89471875
transcript.pyannote[109].speaker SPEAKER_14
transcript.pyannote[109].start 2302.89471875
transcript.pyannote[109].end 2308.37909375
transcript.pyannote[110].speaker SPEAKER_14
transcript.pyannote[110].start 2308.81784375
transcript.pyannote[110].end 2332.03784375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 2332.03784375
transcript.pyannote[111].end 2332.67909375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 2333.08409375
transcript.pyannote[112].end 2352.27096875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 2352.84471875
transcript.pyannote[113].end 2353.43534375
transcript.pyannote[114].speaker SPEAKER_14
transcript.pyannote[114].start 2353.43534375
transcript.pyannote[114].end 2353.45221875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 2353.45221875
transcript.pyannote[115].end 2353.46909375
transcript.pyannote[116].speaker SPEAKER_14
transcript.pyannote[116].start 2353.46909375
transcript.pyannote[116].end 2353.50284375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 2353.50284375
transcript.pyannote[117].end 2353.51971875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 2353.75596875
transcript.pyannote[118].end 2353.78971875
transcript.pyannote[119].speaker SPEAKER_14
transcript.pyannote[119].start 2353.78971875
transcript.pyannote[119].end 2353.95846875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 2353.95846875
transcript.pyannote[120].end 2353.97534375
transcript.pyannote[121].speaker SPEAKER_14
transcript.pyannote[121].start 2353.97534375
transcript.pyannote[121].end 2387.62409375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 2386.05471875
transcript.pyannote[122].end 2386.52721875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 2387.62409375
transcript.pyannote[123].end 2387.69159375
transcript.pyannote[124].speaker SPEAKER_14
transcript.pyannote[124].start 2387.69159375
transcript.pyannote[124].end 2387.82659375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 2387.82659375
transcript.pyannote[125].end 2402.96346875
transcript.pyannote[126].speaker SPEAKER_14
transcript.pyannote[126].start 2402.96346875
transcript.pyannote[126].end 2430.41909375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 2430.25034375
transcript.pyannote[127].end 2430.63846875
transcript.pyannote[128].speaker SPEAKER_14
transcript.pyannote[128].start 2430.87471875
transcript.pyannote[128].end 2430.89159375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 2430.89159375
transcript.pyannote[129].end 2485.48221875
transcript.pyannote[130].speaker SPEAKER_14
transcript.pyannote[130].start 2485.48221875
transcript.pyannote[130].end 2485.51596875
transcript.pyannote[131].speaker SPEAKER_14
transcript.pyannote[131].start 2486.41034375
transcript.pyannote[131].end 2518.96221875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 2519.06346875
transcript.pyannote[132].end 2525.96534375
transcript.pyannote[133].speaker SPEAKER_14
transcript.pyannote[133].start 2525.96534375
transcript.pyannote[133].end 2537.69346875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 2538.08159375
transcript.pyannote[134].end 2550.56909375
transcript.pyannote[135].speaker SPEAKER_14
transcript.pyannote[135].start 2538.77346875
transcript.pyannote[135].end 2538.97596875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 2550.94034375
transcript.pyannote[136].end 2553.70784375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 2554.33221875
transcript.pyannote[137].end 2577.04596875
transcript.pyannote[138].speaker SPEAKER_14
transcript.pyannote[138].start 2577.04596875
transcript.pyannote[138].end 2577.06284375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 2577.06284375
transcript.pyannote[139].end 2577.09659375
transcript.pyannote[140].speaker SPEAKER_14
transcript.pyannote[140].start 2577.09659375
transcript.pyannote[140].end 2636.78346875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 2598.25784375
transcript.pyannote[141].end 2598.81471875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 2633.79659375
transcript.pyannote[142].end 2635.53471875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 2637.30659375
transcript.pyannote[143].end 2669.55471875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 2652.35909375
transcript.pyannote[144].end 2652.40971875
transcript.pyannote[145].speaker SPEAKER_16
transcript.pyannote[145].start 2652.40971875
transcript.pyannote[145].end 2652.49409375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 2652.49409375
transcript.pyannote[146].end 2652.51096875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 2669.84159375
transcript.pyannote[147].end 2671.29284375
transcript.pyannote[148].speaker SPEAKER_14
transcript.pyannote[148].start 2672.15346875
transcript.pyannote[148].end 2690.96909375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 2690.64846875
transcript.pyannote[149].end 2708.97471875
transcript.pyannote[150].speaker SPEAKER_14
transcript.pyannote[150].start 2708.97471875
transcript.pyannote[150].end 2745.03659375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 2743.95659375
transcript.pyannote[151].end 2750.48721875
transcript.pyannote[152].speaker SPEAKER_14
transcript.pyannote[152].start 2745.37409375
transcript.pyannote[152].end 2747.19659375
transcript.pyannote[153].speaker SPEAKER_14
transcript.pyannote[153].start 2750.03159375
transcript.pyannote[153].end 2758.31721875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 2755.54971875
transcript.pyannote[154].end 2755.60034375
transcript.pyannote[155].speaker SPEAKER_20
transcript.pyannote[155].start 2755.60034375
transcript.pyannote[155].end 2756.15721875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 2756.17409375
transcript.pyannote[156].end 2756.46096875
transcript.pyannote[157].speaker SPEAKER_22
transcript.pyannote[157].start 2756.46096875
transcript.pyannote[157].end 2756.49471875
transcript.pyannote[158].speaker SPEAKER_20
transcript.pyannote[158].start 2757.47346875
transcript.pyannote[158].end 2760.00471875
transcript.pyannote[159].speaker SPEAKER_20
transcript.pyannote[159].start 2761.15221875
transcript.pyannote[159].end 2763.09284375
transcript.pyannote[160].speaker SPEAKER_21
transcript.pyannote[160].start 2775.27659375
transcript.pyannote[160].end 2777.45346875
transcript.pyannote[161].speaker SPEAKER_21
transcript.pyannote[161].start 2777.87534375
transcript.pyannote[161].end 2777.89221875
transcript.pyannote[162].speaker SPEAKER_20
transcript.pyannote[162].start 2777.89221875
transcript.pyannote[162].end 2777.90909375
transcript.pyannote[163].speaker SPEAKER_21
transcript.pyannote[163].start 2777.90909375
transcript.pyannote[163].end 2777.92596875
transcript.pyannote[164].speaker SPEAKER_20
transcript.pyannote[164].start 2777.92596875
transcript.pyannote[164].end 2777.97659375
transcript.pyannote[165].speaker SPEAKER_21
transcript.pyannote[165].start 2777.97659375
transcript.pyannote[165].end 2778.02721875
transcript.pyannote[166].speaker SPEAKER_20
transcript.pyannote[166].start 2778.02721875
transcript.pyannote[166].end 2778.44909375
transcript.pyannote[167].speaker SPEAKER_21
transcript.pyannote[167].start 2782.81971875
transcript.pyannote[167].end 2784.45659375
transcript.pyannote[168].speaker SPEAKER_21
transcript.pyannote[168].start 2785.08096875
transcript.pyannote[168].end 2785.67159375
transcript.pyannote[169].speaker SPEAKER_21
transcript.pyannote[169].start 2786.26221875
transcript.pyannote[169].end 2791.37534375
transcript.pyannote[170].speaker SPEAKER_21
transcript.pyannote[170].start 2791.91534375
transcript.pyannote[170].end 2795.39159375
transcript.pyannote[171].speaker SPEAKER_21
transcript.pyannote[171].start 2796.21846875
transcript.pyannote[171].end 2799.08721875
transcript.pyannote[172].speaker SPEAKER_21
transcript.pyannote[172].start 2799.32346875
transcript.pyannote[172].end 2801.70284375
transcript.pyannote[173].speaker SPEAKER_21
transcript.pyannote[173].start 2802.17534375
transcript.pyannote[173].end 2802.49596875
transcript.pyannote[174].speaker SPEAKER_21
transcript.pyannote[174].start 2802.90096875
transcript.pyannote[174].end 2803.91346875
transcript.pyannote[175].speaker SPEAKER_21
transcript.pyannote[175].start 2804.30159375
transcript.pyannote[175].end 2806.29284375
transcript.pyannote[176].speaker SPEAKER_21
transcript.pyannote[176].start 2806.52909375
transcript.pyannote[176].end 2807.62596875
transcript.pyannote[177].speaker SPEAKER_14
transcript.pyannote[177].start 2808.58784375
transcript.pyannote[177].end 2809.98846875
transcript.pyannote[178].speaker SPEAKER_21
transcript.pyannote[178].start 2810.12346875
transcript.pyannote[178].end 2813.02596875
transcript.pyannote[179].speaker SPEAKER_21
transcript.pyannote[179].start 2813.44784375
transcript.pyannote[179].end 2814.30846875
transcript.pyannote[180].speaker SPEAKER_21
transcript.pyannote[180].start 2814.49409375
transcript.pyannote[180].end 2816.89034375
transcript.pyannote[181].speaker SPEAKER_21
transcript.pyannote[181].start 2816.95784375
transcript.pyannote[181].end 2819.10096875
transcript.pyannote[182].speaker SPEAKER_21
transcript.pyannote[182].start 2819.80971875
transcript.pyannote[182].end 2822.96534375
transcript.pyannote[183].speaker SPEAKER_14
transcript.pyannote[183].start 2822.96534375
transcript.pyannote[183].end 2848.26096875
transcript.pyannote[184].speaker SPEAKER_21
transcript.pyannote[184].start 2844.41346875
transcript.pyannote[184].end 2844.61596875
transcript.pyannote[185].speaker SPEAKER_21
transcript.pyannote[185].start 2847.50159375
transcript.pyannote[185].end 2852.00721875
transcript.pyannote[186].speaker SPEAKER_14
transcript.pyannote[186].start 2850.85971875
transcript.pyannote[186].end 2853.47534375
transcript.pyannote[187].speaker SPEAKER_21
transcript.pyannote[187].start 2852.47971875
transcript.pyannote[187].end 2859.70221875
transcript.pyannote[188].speaker SPEAKER_14
transcript.pyannote[188].start 2859.70221875
transcript.pyannote[188].end 2864.93346875
transcript.pyannote[189].speaker SPEAKER_14
transcript.pyannote[189].start 2865.27096875
transcript.pyannote[189].end 2866.50284375
transcript.pyannote[190].speaker SPEAKER_21
transcript.pyannote[190].start 2866.60409375
transcript.pyannote[190].end 2869.21971875
transcript.pyannote[191].speaker SPEAKER_21
transcript.pyannote[191].start 2869.86096875
transcript.pyannote[191].end 2870.36721875
transcript.pyannote[192].speaker SPEAKER_21
transcript.pyannote[192].start 2871.09284375
transcript.pyannote[192].end 2873.92784375
transcript.pyannote[193].speaker SPEAKER_21
transcript.pyannote[193].start 2874.31596875
transcript.pyannote[193].end 2877.25221875
transcript.pyannote[194].speaker SPEAKER_21
transcript.pyannote[194].start 2877.60659375
transcript.pyannote[194].end 2878.48409375
transcript.pyannote[195].speaker SPEAKER_21
transcript.pyannote[195].start 2878.72034375
transcript.pyannote[195].end 2879.58096875
transcript.pyannote[196].speaker SPEAKER_21
transcript.pyannote[196].start 2879.96909375
transcript.pyannote[196].end 2883.34409375
transcript.pyannote[197].speaker SPEAKER_21
transcript.pyannote[197].start 2883.79971875
transcript.pyannote[197].end 2884.44096875
transcript.pyannote[198].speaker SPEAKER_21
transcript.pyannote[198].start 2885.21721875
transcript.pyannote[198].end 2885.75721875
transcript.pyannote[199].speaker SPEAKER_21
transcript.pyannote[199].start 2886.24659375
transcript.pyannote[199].end 2887.93409375
transcript.pyannote[200].speaker SPEAKER_21
transcript.pyannote[200].start 2888.10284375
transcript.pyannote[200].end 2889.04784375
transcript.pyannote[201].speaker SPEAKER_21
transcript.pyannote[201].start 2889.36846875
transcript.pyannote[201].end 2890.19534375
transcript.pyannote[202].speaker SPEAKER_21
transcript.pyannote[202].start 2890.78596875
transcript.pyannote[202].end 2893.26659375
transcript.pyannote[203].speaker SPEAKER_21
transcript.pyannote[203].start 2893.68846875
transcript.pyannote[203].end 2895.07221875
transcript.pyannote[204].speaker SPEAKER_21
transcript.pyannote[204].start 2895.19034375
transcript.pyannote[204].end 2896.70909375
transcript.pyannote[205].speaker SPEAKER_21
transcript.pyannote[205].start 2897.14784375
transcript.pyannote[205].end 2897.38409375
transcript.pyannote[206].speaker SPEAKER_21
transcript.pyannote[206].start 2897.65409375
transcript.pyannote[206].end 2900.43846875
transcript.pyannote[207].speaker SPEAKER_21
transcript.pyannote[207].start 2900.52284375
transcript.pyannote[207].end 2904.40409375
transcript.pyannote[208].speaker SPEAKER_14
transcript.pyannote[208].start 2904.52221875
transcript.pyannote[208].end 2950.67534375
transcript.pyannote[209].speaker SPEAKER_14
transcript.pyannote[209].start 2951.01284375
transcript.pyannote[209].end 2953.84784375
transcript.pyannote[210].speaker SPEAKER_14
transcript.pyannote[210].start 2954.01659375
transcript.pyannote[210].end 2964.88409375
transcript.pyannote[211].speaker SPEAKER_21
transcript.pyannote[211].start 2964.32721875
transcript.pyannote[211].end 2971.17846875
transcript.pyannote[212].speaker SPEAKER_14
transcript.pyannote[212].start 2969.18721875
transcript.pyannote[212].end 2969.69346875
transcript.pyannote[213].speaker SPEAKER_14
transcript.pyannote[213].start 2970.41909375
transcript.pyannote[213].end 2978.36721875
transcript.pyannote[214].speaker SPEAKER_21
transcript.pyannote[214].start 2972.51159375
transcript.pyannote[214].end 2973.67596875
transcript.pyannote[215].speaker SPEAKER_21
transcript.pyannote[215].start 2975.07659375
transcript.pyannote[215].end 2975.93721875
transcript.pyannote[216].speaker SPEAKER_21
transcript.pyannote[216].start 2977.87784375
transcript.pyannote[216].end 2978.19846875
transcript.pyannote[217].speaker SPEAKER_21
transcript.pyannote[217].start 2978.36721875
transcript.pyannote[217].end 2979.31221875
transcript.pyannote[218].speaker SPEAKER_21
transcript.pyannote[218].start 2979.44721875
transcript.pyannote[218].end 2992.52534375
transcript.pyannote[219].speaker SPEAKER_21
transcript.pyannote[219].start 2992.89659375
transcript.pyannote[219].end 2995.42784375
transcript.pyannote[220].speaker SPEAKER_21
transcript.pyannote[220].start 2995.49534375
transcript.pyannote[220].end 2996.08596875
transcript.pyannote[221].speaker SPEAKER_21
transcript.pyannote[221].start 2996.72721875
transcript.pyannote[221].end 3009.01221875
transcript.pyannote[222].speaker SPEAKER_21
transcript.pyannote[222].start 3010.58159375
transcript.pyannote[222].end 3010.96971875
transcript.pyannote[223].speaker SPEAKER_14
transcript.pyannote[223].start 3010.96971875
transcript.pyannote[223].end 3035.64096875
transcript.pyannote[224].speaker SPEAKER_21
transcript.pyannote[224].start 3035.77596875
transcript.pyannote[224].end 3047.21721875
transcript.pyannote[225].speaker SPEAKER_14
transcript.pyannote[225].start 3046.76159375
transcript.pyannote[225].end 3052.73534375
transcript.pyannote[226].speaker SPEAKER_21
transcript.pyannote[226].start 3052.73534375
transcript.pyannote[226].end 3053.34284375
transcript.pyannote[227].speaker SPEAKER_21
transcript.pyannote[227].start 3053.54534375
transcript.pyannote[227].end 3055.80659375
transcript.pyannote[228].speaker SPEAKER_21
transcript.pyannote[228].start 3056.32971875
transcript.pyannote[228].end 3056.78534375
transcript.pyannote[229].speaker SPEAKER_21
transcript.pyannote[229].start 3057.69659375
transcript.pyannote[229].end 3063.95721875
transcript.pyannote[230].speaker SPEAKER_21
transcript.pyannote[230].start 3063.97409375
transcript.pyannote[230].end 3063.99096875
transcript.pyannote[231].speaker SPEAKER_21
transcript.pyannote[231].start 3064.22721875
transcript.pyannote[231].end 3064.95284375
transcript.pyannote[232].speaker SPEAKER_21
transcript.pyannote[232].start 3065.56034375
transcript.pyannote[232].end 3068.64846875
transcript.pyannote[233].speaker SPEAKER_21
transcript.pyannote[233].start 3069.32346875
transcript.pyannote[233].end 3070.77471875
transcript.pyannote[234].speaker SPEAKER_21
transcript.pyannote[234].start 3071.50034375
transcript.pyannote[234].end 3072.95159375
transcript.pyannote[235].speaker SPEAKER_21
transcript.pyannote[235].start 3073.18784375
transcript.pyannote[235].end 3073.71096875
transcript.pyannote[236].speaker SPEAKER_21
transcript.pyannote[236].start 3074.52096875
transcript.pyannote[236].end 3075.33096875
transcript.pyannote[237].speaker SPEAKER_21
transcript.pyannote[237].start 3075.85409375
transcript.pyannote[237].end 3077.20409375
transcript.pyannote[238].speaker SPEAKER_21
transcript.pyannote[238].start 3077.49096875
transcript.pyannote[238].end 3079.70159375
transcript.pyannote[239].speaker SPEAKER_21
transcript.pyannote[239].start 3080.20784375
transcript.pyannote[239].end 3084.37596875
transcript.pyannote[240].speaker SPEAKER_21
transcript.pyannote[240].start 3085.06784375
transcript.pyannote[240].end 3085.64159375
transcript.pyannote[241].speaker SPEAKER_21
transcript.pyannote[241].start 3086.50221875
transcript.pyannote[241].end 3088.35846875
transcript.pyannote[242].speaker SPEAKER_21
transcript.pyannote[242].start 3088.76346875
transcript.pyannote[242].end 3090.78846875
transcript.pyannote[243].speaker SPEAKER_21
transcript.pyannote[243].start 3091.49721875
transcript.pyannote[243].end 3094.33221875
transcript.pyannote[244].speaker SPEAKER_21
transcript.pyannote[244].start 3094.99034375
transcript.pyannote[244].end 3103.41096875
transcript.pyannote[245].speaker SPEAKER_21
transcript.pyannote[245].start 3103.52909375
transcript.pyannote[245].end 3106.46534375
transcript.pyannote[246].speaker SPEAKER_21
transcript.pyannote[246].start 3106.80284375
transcript.pyannote[246].end 3107.49471875
transcript.pyannote[247].speaker SPEAKER_21
transcript.pyannote[247].start 3108.28784375
transcript.pyannote[247].end 3108.96284375
transcript.pyannote[248].speaker SPEAKER_21
transcript.pyannote[248].start 3109.51971875
transcript.pyannote[248].end 3110.09346875
transcript.pyannote[249].speaker SPEAKER_21
transcript.pyannote[249].start 3110.27909375
transcript.pyannote[249].end 3115.96596875
transcript.pyannote[250].speaker SPEAKER_21
transcript.pyannote[250].start 3116.60721875
transcript.pyannote[250].end 3121.07909375
transcript.pyannote[251].speaker SPEAKER_21
transcript.pyannote[251].start 3121.21409375
transcript.pyannote[251].end 3121.77096875
transcript.pyannote[252].speaker SPEAKER_21
transcript.pyannote[252].start 3122.32784375
transcript.pyannote[252].end 3124.65659375
transcript.pyannote[253].speaker SPEAKER_21
transcript.pyannote[253].start 3125.17971875
transcript.pyannote[253].end 3126.86721875
transcript.pyannote[254].speaker SPEAKER_21
transcript.pyannote[254].start 3127.25534375
transcript.pyannote[254].end 3127.87971875
transcript.pyannote[255].speaker SPEAKER_21
transcript.pyannote[255].start 3128.60534375
transcript.pyannote[255].end 3134.39346875
transcript.pyannote[256].speaker SPEAKER_21
transcript.pyannote[256].start 3134.84909375
transcript.pyannote[256].end 3137.95409375
transcript.pyannote[257].speaker SPEAKER_21
transcript.pyannote[257].start 3138.69659375
transcript.pyannote[257].end 3139.65846875
transcript.pyannote[258].speaker SPEAKER_21
transcript.pyannote[258].start 3140.26596875
transcript.pyannote[258].end 3143.86034375
transcript.pyannote[259].speaker SPEAKER_21
transcript.pyannote[259].start 3144.67034375
transcript.pyannote[259].end 3145.00784375
transcript.pyannote[260].speaker SPEAKER_21
transcript.pyannote[260].start 3145.39596875
transcript.pyannote[260].end 3146.91471875
transcript.pyannote[261].speaker SPEAKER_21
transcript.pyannote[261].start 3147.47159375
transcript.pyannote[261].end 3150.64409375
transcript.pyannote[262].speaker SPEAKER_21
transcript.pyannote[262].start 3151.47096875
transcript.pyannote[262].end 3153.81659375
transcript.pyannote[263].speaker SPEAKER_21
transcript.pyannote[263].start 3154.23846875
transcript.pyannote[263].end 3156.41534375
transcript.pyannote[264].speaker SPEAKER_21
transcript.pyannote[264].start 3157.95096875
transcript.pyannote[264].end 3159.62159375
transcript.pyannote[265].speaker SPEAKER_14
transcript.pyannote[265].start 3159.62159375
transcript.pyannote[265].end 3168.46409375
transcript.pyannote[266].speaker SPEAKER_14
transcript.pyannote[266].start 3168.81846875
transcript.pyannote[266].end 3178.60596875
transcript.pyannote[267].speaker SPEAKER_14
transcript.pyannote[267].start 3178.94346875
transcript.pyannote[267].end 3201.40409375
transcript.pyannote[268].speaker SPEAKER_21
transcript.pyannote[268].start 3200.25659375
transcript.pyannote[268].end 3205.52159375
transcript.pyannote[269].speaker SPEAKER_14
transcript.pyannote[269].start 3201.47159375
transcript.pyannote[269].end 3201.85971875
transcript.pyannote[270].speaker SPEAKER_21
transcript.pyannote[270].start 3206.09534375
transcript.pyannote[270].end 3218.44784375
transcript.pyannote[271].speaker SPEAKER_14
transcript.pyannote[271].start 3217.97534375
transcript.pyannote[271].end 3218.26221875
transcript.pyannote[272].speaker SPEAKER_21
transcript.pyannote[272].start 3218.68409375
transcript.pyannote[272].end 3219.03846875
transcript.pyannote[273].speaker SPEAKER_21
transcript.pyannote[273].start 3219.49409375
transcript.pyannote[273].end 3224.77596875
transcript.pyannote[274].speaker SPEAKER_14
transcript.pyannote[274].start 3222.36284375
transcript.pyannote[274].end 3222.86909375
transcript.pyannote[275].speaker SPEAKER_21
transcript.pyannote[275].start 3224.86034375
transcript.pyannote[275].end 3226.15971875
transcript.pyannote[276].speaker SPEAKER_14
transcript.pyannote[276].start 3226.15971875
transcript.pyannote[276].end 3226.17659375
transcript.pyannote[277].speaker SPEAKER_21
transcript.pyannote[277].start 3226.17659375
transcript.pyannote[277].end 3226.19346875
transcript.pyannote[278].speaker SPEAKER_21
transcript.pyannote[278].start 3226.53096875
transcript.pyannote[278].end 3226.96971875
transcript.pyannote[279].speaker SPEAKER_14
transcript.pyannote[279].start 3226.96971875
transcript.pyannote[279].end 3234.68159375
transcript.pyannote[280].speaker SPEAKER_21
transcript.pyannote[280].start 3234.63096875
transcript.pyannote[280].end 3237.02721875
transcript.pyannote[281].speaker SPEAKER_21
transcript.pyannote[281].start 3237.38159375
transcript.pyannote[281].end 3241.73534375
transcript.pyannote[282].speaker SPEAKER_21
transcript.pyannote[282].start 3241.75221875
transcript.pyannote[282].end 3242.39346875
transcript.pyannote[283].speaker SPEAKER_21
transcript.pyannote[283].start 3242.93346875
transcript.pyannote[283].end 3245.34659375
transcript.pyannote[284].speaker SPEAKER_21
transcript.pyannote[284].start 3245.56596875
transcript.pyannote[284].end 3248.58659375
transcript.pyannote[285].speaker SPEAKER_21
transcript.pyannote[285].start 3250.02096875
transcript.pyannote[285].end 3251.48909375
transcript.pyannote[286].speaker SPEAKER_21
transcript.pyannote[286].start 3251.89409375
transcript.pyannote[286].end 3252.70409375
transcript.pyannote[287].speaker SPEAKER_14
transcript.pyannote[287].start 3251.92784375
transcript.pyannote[287].end 3255.47159375
transcript.pyannote[288].speaker SPEAKER_21
transcript.pyannote[288].start 3254.89784375
transcript.pyannote[288].end 3261.79971875
transcript.pyannote[289].speaker SPEAKER_14
transcript.pyannote[289].start 3256.95659375
transcript.pyannote[289].end 3257.34471875
transcript.pyannote[290].speaker SPEAKER_21
transcript.pyannote[290].start 3261.86721875
transcript.pyannote[290].end 3262.98096875
transcript.pyannote[291].speaker SPEAKER_14
transcript.pyannote[291].start 3262.98096875
transcript.pyannote[291].end 3266.35596875
transcript.pyannote[292].speaker SPEAKER_21
transcript.pyannote[292].start 3265.39409375
transcript.pyannote[292].end 3270.84471875
transcript.pyannote[293].speaker SPEAKER_14
transcript.pyannote[293].start 3268.83659375
transcript.pyannote[293].end 3271.82346875
transcript.pyannote[294].speaker SPEAKER_21
transcript.pyannote[294].start 3271.82346875
transcript.pyannote[294].end 3275.70471875
transcript.pyannote[295].speaker SPEAKER_21
transcript.pyannote[295].start 3276.34596875
transcript.pyannote[295].end 3278.72534375
transcript.pyannote[296].speaker SPEAKER_21
transcript.pyannote[296].start 3279.40034375
transcript.pyannote[296].end 3280.80096875
transcript.pyannote[297].speaker SPEAKER_21
transcript.pyannote[297].start 3281.22284375
transcript.pyannote[297].end 3284.42909375
transcript.pyannote[298].speaker SPEAKER_00
transcript.pyannote[298].start 3283.31534375
transcript.pyannote[298].end 3283.39971875
transcript.pyannote[299].speaker SPEAKER_16
transcript.pyannote[299].start 3283.39971875
transcript.pyannote[299].end 3283.53471875
transcript.pyannote[300].speaker SPEAKER_00
transcript.pyannote[300].start 3283.53471875
transcript.pyannote[300].end 3283.82159375
transcript.pyannote[301].speaker SPEAKER_21
transcript.pyannote[301].start 3284.61471875
transcript.pyannote[301].end 3291.21284375
transcript.pyannote[302].speaker SPEAKER_21
transcript.pyannote[302].start 3291.56721875
transcript.pyannote[302].end 3292.52909375
transcript.pyannote[303].speaker SPEAKER_21
transcript.pyannote[303].start 3293.74409375
transcript.pyannote[303].end 3295.19534375
transcript.pyannote[304].speaker SPEAKER_14
transcript.pyannote[304].start 3295.70159375
transcript.pyannote[304].end 3296.59596875
transcript.pyannote[305].speaker SPEAKER_21
transcript.pyannote[305].start 3296.32596875
transcript.pyannote[305].end 3304.08846875
transcript.pyannote[306].speaker SPEAKER_14
transcript.pyannote[306].start 3299.48159375
transcript.pyannote[306].end 3299.86971875
transcript.pyannote[307].speaker SPEAKER_21
transcript.pyannote[307].start 3304.52721875
transcript.pyannote[307].end 3305.26971875
transcript.pyannote[308].speaker SPEAKER_21
transcript.pyannote[308].start 3305.80971875
transcript.pyannote[308].end 3308.45909375
transcript.pyannote[309].speaker SPEAKER_14
transcript.pyannote[309].start 3306.29909375
transcript.pyannote[309].end 3307.34534375
transcript.pyannote[310].speaker SPEAKER_14
transcript.pyannote[310].start 3308.22284375
transcript.pyannote[310].end 3308.32409375
transcript.pyannote[311].speaker SPEAKER_14
transcript.pyannote[311].start 3308.45909375
transcript.pyannote[311].end 3308.88096875
transcript.pyannote[312].speaker SPEAKER_21
transcript.pyannote[312].start 3308.88096875
transcript.pyannote[312].end 3316.74471875
transcript.pyannote[313].speaker SPEAKER_21
transcript.pyannote[313].start 3317.01471875
transcript.pyannote[313].end 3317.80784375
transcript.pyannote[314].speaker SPEAKER_21
transcript.pyannote[314].start 3318.14534375
transcript.pyannote[314].end 3336.57284375
transcript.pyannote[315].speaker SPEAKER_13
transcript.pyannote[315].start 3320.87909375
transcript.pyannote[315].end 3321.60471875
transcript.pyannote[316].speaker SPEAKER_13
transcript.pyannote[316].start 3321.67221875
transcript.pyannote[316].end 3322.27971875
transcript.pyannote[317].speaker SPEAKER_13
transcript.pyannote[317].start 3324.94596875
transcript.pyannote[317].end 3325.60409375
transcript.pyannote[318].speaker SPEAKER_14
transcript.pyannote[318].start 3325.60409375
transcript.pyannote[318].end 3325.65471875
transcript.pyannote[319].speaker SPEAKER_13
transcript.pyannote[319].start 3325.65471875
transcript.pyannote[319].end 3325.67159375
transcript.pyannote[320].speaker SPEAKER_22
transcript.pyannote[320].start 3336.57284375
transcript.pyannote[320].end 3337.02846875
transcript.pyannote[321].speaker SPEAKER_21
transcript.pyannote[321].start 3337.07909375
transcript.pyannote[321].end 3338.63159375
transcript.pyannote[322].speaker SPEAKER_21
transcript.pyannote[322].start 3339.01971875
transcript.pyannote[322].end 3344.62221875
transcript.pyannote[323].speaker SPEAKER_21
transcript.pyannote[323].start 3344.85846875
transcript.pyannote[323].end 3346.81596875
transcript.pyannote[324].speaker SPEAKER_22
transcript.pyannote[324].start 3346.81596875
transcript.pyannote[324].end 3347.15346875
transcript.pyannote[325].speaker SPEAKER_14
transcript.pyannote[325].start 3347.15346875
transcript.pyannote[325].end 3347.18721875
transcript.pyannote[326].speaker SPEAKER_21
transcript.pyannote[326].start 3347.18721875
transcript.pyannote[326].end 3351.45659375
transcript.pyannote[327].speaker SPEAKER_21
transcript.pyannote[327].start 3352.21596875
transcript.pyannote[327].end 3355.05096875
transcript.pyannote[328].speaker SPEAKER_21
transcript.pyannote[328].start 3355.59096875
transcript.pyannote[328].end 3357.88596875
transcript.pyannote[329].speaker SPEAKER_21
transcript.pyannote[329].start 3358.42596875
transcript.pyannote[329].end 3361.41284375
transcript.pyannote[330].speaker SPEAKER_21
transcript.pyannote[330].start 3361.85159375
transcript.pyannote[330].end 3362.88096875
transcript.pyannote[331].speaker SPEAKER_21
transcript.pyannote[331].start 3363.23534375
transcript.pyannote[331].end 3364.31534375
transcript.pyannote[332].speaker SPEAKER_21
transcript.pyannote[332].start 3364.78784375
transcript.pyannote[332].end 3367.18409375
transcript.pyannote[333].speaker SPEAKER_14
transcript.pyannote[333].start 3367.31909375
transcript.pyannote[333].end 3367.94346875
transcript.pyannote[334].speaker SPEAKER_21
transcript.pyannote[334].start 3367.69034375
transcript.pyannote[334].end 3375.26721875
transcript.pyannote[335].speaker SPEAKER_14
transcript.pyannote[335].start 3369.44534375
transcript.pyannote[335].end 3370.40721875
transcript.pyannote[336].speaker SPEAKER_14
transcript.pyannote[336].start 3372.34784375
transcript.pyannote[336].end 3372.75284375
transcript.pyannote[337].speaker SPEAKER_14
transcript.pyannote[337].start 3375.26721875
transcript.pyannote[337].end 3377.47784375
transcript.pyannote[338].speaker SPEAKER_21
transcript.pyannote[338].start 3375.35159375
transcript.pyannote[338].end 3376.06034375
transcript.pyannote[339].speaker SPEAKER_20
transcript.pyannote[339].start 3376.06034375
transcript.pyannote[339].end 3376.09409375
transcript.pyannote[340].speaker SPEAKER_21
transcript.pyannote[340].start 3376.09409375
transcript.pyannote[340].end 3376.16159375
transcript.pyannote[341].speaker SPEAKER_20
transcript.pyannote[341].start 3376.16159375
transcript.pyannote[341].end 3376.17846875
transcript.pyannote[342].speaker SPEAKER_21
transcript.pyannote[342].start 3376.17846875
transcript.pyannote[342].end 3376.27971875
transcript.pyannote[343].speaker SPEAKER_20
transcript.pyannote[343].start 3378.18659375
transcript.pyannote[343].end 3380.05971875
transcript.pyannote[344].speaker SPEAKER_20
transcript.pyannote[344].start 3382.84409375
transcript.pyannote[344].end 3384.49784375
transcript.pyannote[345].speaker SPEAKER_22
transcript.pyannote[345].start 3403.98846875
transcript.pyannote[345].end 3405.01784375
transcript.pyannote[346].speaker SPEAKER_22
transcript.pyannote[346].start 3405.32159375
transcript.pyannote[346].end 3406.30034375
transcript.pyannote[347].speaker SPEAKER_22
transcript.pyannote[347].start 3406.73909375
transcript.pyannote[347].end 3407.68409375
transcript.pyannote[348].speaker SPEAKER_22
transcript.pyannote[348].start 3407.97096875
transcript.pyannote[348].end 3408.94971875
transcript.pyannote[349].speaker SPEAKER_22
transcript.pyannote[349].start 3408.96659375
transcript.pyannote[349].end 3408.98346875
transcript.pyannote[350].speaker SPEAKER_22
transcript.pyannote[350].start 3409.42221875
transcript.pyannote[350].end 3412.66221875
transcript.pyannote[351].speaker SPEAKER_20
transcript.pyannote[351].start 3413.42159375
transcript.pyannote[351].end 3416.99909375
transcript.pyannote[352].speaker SPEAKER_20
transcript.pyannote[352].start 3417.69096875
transcript.pyannote[352].end 3419.31096875
transcript.pyannote[353].speaker SPEAKER_22
transcript.pyannote[353].start 3419.64846875
transcript.pyannote[353].end 3420.10409375
transcript.pyannote[354].speaker SPEAKER_20
transcript.pyannote[354].start 3420.28971875
transcript.pyannote[354].end 3421.31909375
transcript.pyannote[355].speaker SPEAKER_20
transcript.pyannote[355].start 3421.90971875
transcript.pyannote[355].end 3425.53784375
transcript.pyannote[356].speaker SPEAKER_20
transcript.pyannote[356].start 3425.75721875
transcript.pyannote[356].end 3427.24221875
transcript.pyannote[357].speaker SPEAKER_16
transcript.pyannote[357].start 3425.92596875
transcript.pyannote[357].end 3426.04409375
transcript.pyannote[358].speaker SPEAKER_14
transcript.pyannote[358].start 3434.90346875
transcript.pyannote[358].end 3437.16471875
transcript.pyannote[359].speaker SPEAKER_22
transcript.pyannote[359].start 3437.40096875
transcript.pyannote[359].end 3438.78471875
transcript.pyannote[360].speaker SPEAKER_22
transcript.pyannote[360].start 3439.76346875
transcript.pyannote[360].end 3440.86034375
transcript.pyannote[361].speaker SPEAKER_22
transcript.pyannote[361].start 3441.26534375
transcript.pyannote[361].end 3441.92346875
transcript.pyannote[362].speaker SPEAKER_22
transcript.pyannote[362].start 3443.59409375
transcript.pyannote[362].end 3445.55159375
transcript.pyannote[363].speaker SPEAKER_22
transcript.pyannote[363].start 3446.09159375
transcript.pyannote[363].end 3447.54284375
transcript.pyannote[364].speaker SPEAKER_22
transcript.pyannote[364].start 3447.91409375
transcript.pyannote[364].end 3449.88846875
transcript.pyannote[365].speaker SPEAKER_14
transcript.pyannote[365].start 3450.91784375
transcript.pyannote[365].end 3452.03159375
transcript.pyannote[366].speaker SPEAKER_22
transcript.pyannote[366].start 3451.94721875
transcript.pyannote[366].end 3452.85846875
transcript.pyannote[367].speaker SPEAKER_22
transcript.pyannote[367].start 3453.31409375
transcript.pyannote[367].end 3453.95534375
transcript.pyannote[368].speaker SPEAKER_22
transcript.pyannote[368].start 3454.47846875
transcript.pyannote[368].end 3455.33909375
transcript.pyannote[369].speaker SPEAKER_22
transcript.pyannote[369].start 3456.36846875
transcript.pyannote[369].end 3456.97596875
transcript.pyannote[370].speaker SPEAKER_22
transcript.pyannote[370].start 3457.56659375
transcript.pyannote[370].end 3459.47346875
transcript.pyannote[371].speaker SPEAKER_22
transcript.pyannote[371].start 3460.09784375
transcript.pyannote[371].end 3461.68409375
transcript.pyannote[372].speaker SPEAKER_22
transcript.pyannote[372].start 3462.22409375
transcript.pyannote[372].end 3462.96659375
transcript.pyannote[373].speaker SPEAKER_22
transcript.pyannote[373].start 3463.45596875
transcript.pyannote[373].end 3463.81034375
transcript.pyannote[374].speaker SPEAKER_08
transcript.pyannote[374].start 3463.94534375
transcript.pyannote[374].end 3464.28284375
transcript.pyannote[375].speaker SPEAKER_22
transcript.pyannote[375].start 3464.85659375
transcript.pyannote[375].end 3465.22784375
transcript.pyannote[376].speaker SPEAKER_22
transcript.pyannote[376].start 3466.10534375
transcript.pyannote[376].end 3467.11784375
transcript.pyannote[377].speaker SPEAKER_08
transcript.pyannote[377].start 3467.75909375
transcript.pyannote[377].end 3468.95721875
transcript.pyannote[378].speaker SPEAKER_22
transcript.pyannote[378].start 3469.51409375
transcript.pyannote[378].end 3472.04534375
transcript.pyannote[379].speaker SPEAKER_22
transcript.pyannote[379].start 3472.48409375
transcript.pyannote[379].end 3476.50034375
transcript.pyannote[380].speaker SPEAKER_22
transcript.pyannote[380].start 3476.70284375
transcript.pyannote[380].end 3477.81659375
transcript.pyannote[381].speaker SPEAKER_08
transcript.pyannote[381].start 3478.77846875
transcript.pyannote[381].end 3479.52096875
transcript.pyannote[382].speaker SPEAKER_22
transcript.pyannote[382].start 3479.68971875
transcript.pyannote[382].end 3480.78659375
transcript.pyannote[383].speaker SPEAKER_08
transcript.pyannote[383].start 3480.92159375
transcript.pyannote[383].end 3493.13909375
transcript.pyannote[384].speaker SPEAKER_22
transcript.pyannote[384].start 3493.99971875
transcript.pyannote[384].end 3496.29471875
transcript.pyannote[385].speaker SPEAKER_22
transcript.pyannote[385].start 3497.15534375
transcript.pyannote[385].end 3500.10846875
transcript.pyannote[386].speaker SPEAKER_22
transcript.pyannote[386].start 3500.53034375
transcript.pyannote[386].end 3501.86346875
transcript.pyannote[387].speaker SPEAKER_22
transcript.pyannote[387].start 3504.10784375
transcript.pyannote[387].end 3504.14159375
transcript.pyannote[388].speaker SPEAKER_07
transcript.pyannote[388].start 3504.14159375
transcript.pyannote[388].end 3504.90096875
transcript.pyannote[389].speaker SPEAKER_07
transcript.pyannote[389].start 3505.72784375
transcript.pyannote[389].end 3517.23659375
transcript.pyannote[390].speaker SPEAKER_22
transcript.pyannote[390].start 3510.03096875
transcript.pyannote[390].end 3510.53721875
transcript.pyannote[391].speaker SPEAKER_22
transcript.pyannote[391].start 3510.87471875
transcript.pyannote[391].end 3510.99284375
transcript.pyannote[392].speaker SPEAKER_22
transcript.pyannote[392].start 3513.60846875
transcript.pyannote[392].end 3514.19909375
transcript.pyannote[393].speaker SPEAKER_22
transcript.pyannote[393].start 3518.01284375
transcript.pyannote[393].end 3519.14346875
transcript.pyannote[394].speaker SPEAKER_07
transcript.pyannote[394].start 3518.19846875
transcript.pyannote[394].end 3519.21096875
transcript.pyannote[395].speaker SPEAKER_22
transcript.pyannote[395].start 3519.21096875
transcript.pyannote[395].end 3520.08846875
transcript.pyannote[396].speaker SPEAKER_22
transcript.pyannote[396].start 3521.55659375
transcript.pyannote[396].end 3522.24846875
transcript.pyannote[397].speaker SPEAKER_22
transcript.pyannote[397].start 3523.69971875
transcript.pyannote[397].end 3524.30721875
transcript.pyannote[398].speaker SPEAKER_22
transcript.pyannote[398].start 3524.67846875
transcript.pyannote[398].end 3526.73721875
transcript.pyannote[399].speaker SPEAKER_22
transcript.pyannote[399].start 3528.47534375
transcript.pyannote[399].end 3529.13346875
transcript.pyannote[400].speaker SPEAKER_22
transcript.pyannote[400].start 3530.17971875
transcript.pyannote[400].end 3530.55096875
transcript.pyannote[401].speaker SPEAKER_22
transcript.pyannote[401].start 3531.68159375
transcript.pyannote[401].end 3533.09909375
transcript.pyannote[402].speaker SPEAKER_14
transcript.pyannote[402].start 3534.09471875
transcript.pyannote[402].end 3534.38159375
transcript.pyannote[403].speaker SPEAKER_22
transcript.pyannote[403].start 3536.03534375
transcript.pyannote[403].end 3539.17409375
transcript.pyannote[404].speaker SPEAKER_22
transcript.pyannote[404].start 3540.30471875
transcript.pyannote[404].end 3541.58721875
transcript.pyannote[405].speaker SPEAKER_22
transcript.pyannote[405].start 3542.12721875
transcript.pyannote[405].end 3545.02971875
transcript.pyannote[406].speaker SPEAKER_22
transcript.pyannote[406].start 3545.89034375
transcript.pyannote[406].end 3546.86909375
transcript.pyannote[407].speaker SPEAKER_22
transcript.pyannote[407].start 3547.35846875
transcript.pyannote[407].end 3549.63659375
transcript.pyannote[408].speaker SPEAKER_22
transcript.pyannote[408].start 3549.73784375
transcript.pyannote[408].end 3550.49721875
transcript.pyannote[409].speaker SPEAKER_22
transcript.pyannote[409].start 3550.83471875
transcript.pyannote[409].end 3552.65721875
transcript.pyannote[410].speaker SPEAKER_22
transcript.pyannote[410].start 3552.94409375
transcript.pyannote[410].end 3555.23909375
transcript.pyannote[411].speaker SPEAKER_22
transcript.pyannote[411].start 3555.55971875
transcript.pyannote[411].end 3556.18409375
transcript.pyannote[412].speaker SPEAKER_22
transcript.pyannote[412].start 3556.69034375
transcript.pyannote[412].end 3558.96846875
transcript.pyannote[413].speaker SPEAKER_22
transcript.pyannote[413].start 3559.28909375
transcript.pyannote[413].end 3560.53784375
transcript.pyannote[414].speaker SPEAKER_22
transcript.pyannote[414].start 3561.06096875
transcript.pyannote[414].end 3563.35596875
transcript.pyannote[415].speaker SPEAKER_22
transcript.pyannote[415].start 3563.69346875
transcript.pyannote[415].end 3564.90846875
transcript.pyannote[416].speaker SPEAKER_22
transcript.pyannote[416].start 3566.02221875
transcript.pyannote[416].end 3567.91221875
transcript.pyannote[417].speaker SPEAKER_22
transcript.pyannote[417].start 3568.46909375
transcript.pyannote[417].end 3570.57846875
transcript.pyannote[418].speaker SPEAKER_22
transcript.pyannote[418].start 3571.54034375
transcript.pyannote[418].end 3572.97471875
transcript.pyannote[419].speaker SPEAKER_22
transcript.pyannote[419].start 3573.81846875
transcript.pyannote[419].end 3573.83534375
transcript.pyannote[420].speaker SPEAKER_14
transcript.pyannote[420].start 3573.83534375
transcript.pyannote[420].end 3590.81159375
transcript.pyannote[421].speaker SPEAKER_22
transcript.pyannote[421].start 3574.08846875
transcript.pyannote[421].end 3574.76346875
transcript.pyannote[422].speaker SPEAKER_22
transcript.pyannote[422].start 3578.15534375
transcript.pyannote[422].end 3579.33659375
transcript.pyannote[423].speaker SPEAKER_22
transcript.pyannote[423].start 3589.68096875
transcript.pyannote[423].end 3589.88346875
transcript.pyannote[424].speaker SPEAKER_22
transcript.pyannote[424].start 3590.22096875
transcript.pyannote[424].end 3591.16596875
transcript.pyannote[425].speaker SPEAKER_22
transcript.pyannote[425].start 3591.36846875
transcript.pyannote[425].end 3591.77346875
transcript.pyannote[426].speaker SPEAKER_22
transcript.pyannote[426].start 3591.94221875
transcript.pyannote[426].end 3593.71409375
transcript.pyannote[427].speaker SPEAKER_14
transcript.pyannote[427].start 3592.21221875
transcript.pyannote[427].end 3592.97159375
transcript.pyannote[428].speaker SPEAKER_22
transcript.pyannote[428].start 3594.10221875
transcript.pyannote[428].end 3594.59159375
transcript.pyannote[429].speaker SPEAKER_22
transcript.pyannote[429].start 3594.94596875
transcript.pyannote[429].end 3595.94159375
transcript.pyannote[430].speaker SPEAKER_22
transcript.pyannote[430].start 3596.24534375
transcript.pyannote[430].end 3597.39284375
transcript.pyannote[431].speaker SPEAKER_22
transcript.pyannote[431].start 3599.51909375
transcript.pyannote[431].end 3600.81846875
transcript.pyannote[432].speaker SPEAKER_22
transcript.pyannote[432].start 3600.98721875
transcript.pyannote[432].end 3602.28659375
transcript.pyannote[433].speaker SPEAKER_22
transcript.pyannote[433].start 3602.96159375
transcript.pyannote[433].end 3605.83034375
transcript.pyannote[434].speaker SPEAKER_08
transcript.pyannote[434].start 3604.98659375
transcript.pyannote[434].end 3608.51346875
transcript.pyannote[435].speaker SPEAKER_22
transcript.pyannote[435].start 3606.62346875
transcript.pyannote[435].end 3607.51784375
transcript.pyannote[436].speaker SPEAKER_22
transcript.pyannote[436].start 3608.51346875
transcript.pyannote[436].end 3609.01971875
transcript.pyannote[437].speaker SPEAKER_08
transcript.pyannote[437].start 3608.53034375
transcript.pyannote[437].end 3608.61471875
transcript.pyannote[438].speaker SPEAKER_08
transcript.pyannote[438].start 3609.01971875
transcript.pyannote[438].end 3609.35721875
transcript.pyannote[439].speaker SPEAKER_22
transcript.pyannote[439].start 3609.62721875
transcript.pyannote[439].end 3609.99846875
transcript.pyannote[440].speaker SPEAKER_22
transcript.pyannote[440].start 3610.42034375
transcript.pyannote[440].end 3611.65221875
transcript.pyannote[441].speaker SPEAKER_22
transcript.pyannote[441].start 3612.17534375
transcript.pyannote[441].end 3613.33971875
transcript.pyannote[442].speaker SPEAKER_22
transcript.pyannote[442].start 3613.59284375
transcript.pyannote[442].end 3614.63909375
transcript.pyannote[443].speaker SPEAKER_22
transcript.pyannote[443].start 3615.97221875
transcript.pyannote[443].end 3616.79909375
transcript.pyannote[444].speaker SPEAKER_22
transcript.pyannote[444].start 3617.98034375
transcript.pyannote[444].end 3619.14471875
transcript.pyannote[445].speaker SPEAKER_08
transcript.pyannote[445].start 3620.34284375
transcript.pyannote[445].end 3620.56221875
transcript.pyannote[446].speaker SPEAKER_08
transcript.pyannote[446].start 3621.11909375
transcript.pyannote[446].end 3623.17784375
transcript.pyannote[447].speaker SPEAKER_22
transcript.pyannote[447].start 3622.84034375
transcript.pyannote[447].end 3625.32096875
transcript.pyannote[448].speaker SPEAKER_22
transcript.pyannote[448].start 3626.14784375
transcript.pyannote[448].end 3627.02534375
transcript.pyannote[449].speaker SPEAKER_22
transcript.pyannote[449].start 3628.22346875
transcript.pyannote[449].end 3629.01659375
transcript.pyannote[450].speaker SPEAKER_22
transcript.pyannote[450].start 3629.45534375
transcript.pyannote[450].end 3632.07096875
transcript.pyannote[451].speaker SPEAKER_22
transcript.pyannote[451].start 3632.57721875
transcript.pyannote[451].end 3633.37034375
transcript.pyannote[452].speaker SPEAKER_22
transcript.pyannote[452].start 3633.96096875
transcript.pyannote[452].end 3636.25596875
transcript.pyannote[453].speaker SPEAKER_22
transcript.pyannote[453].start 3637.21784375
transcript.pyannote[453].end 3637.89284375
transcript.pyannote[454].speaker SPEAKER_17
transcript.pyannote[454].start 3638.07846875
transcript.pyannote[454].end 3639.29346875
transcript.pyannote[455].speaker SPEAKER_22
transcript.pyannote[455].start 3639.29346875
transcript.pyannote[455].end 3639.36096875
transcript.pyannote[456].speaker SPEAKER_17
transcript.pyannote[456].start 3639.36096875
transcript.pyannote[456].end 3639.56346875
transcript.pyannote[457].speaker SPEAKER_22
transcript.pyannote[457].start 3639.86721875
transcript.pyannote[457].end 3641.60534375
transcript.pyannote[458].speaker SPEAKER_22
transcript.pyannote[458].start 3643.25909375
transcript.pyannote[458].end 3644.25471875
transcript.pyannote[459].speaker SPEAKER_22
transcript.pyannote[459].start 3644.71034375
transcript.pyannote[459].end 3645.94221875
transcript.pyannote[460].speaker SPEAKER_22
transcript.pyannote[460].start 3646.70159375
transcript.pyannote[460].end 3647.42721875
transcript.pyannote[461].speaker SPEAKER_22
transcript.pyannote[461].start 3648.11909375
transcript.pyannote[461].end 3648.55784375
transcript.pyannote[462].speaker SPEAKER_17
transcript.pyannote[462].start 3648.27096875
transcript.pyannote[462].end 3651.20721875
transcript.pyannote[463].speaker SPEAKER_22
transcript.pyannote[463].start 3651.47721875
transcript.pyannote[463].end 3651.69659375
transcript.pyannote[464].speaker SPEAKER_22
transcript.pyannote[464].start 3651.73034375
transcript.pyannote[464].end 3652.97909375
transcript.pyannote[465].speaker SPEAKER_22
transcript.pyannote[465].start 3653.38409375
transcript.pyannote[465].end 3653.62034375
transcript.pyannote[466].speaker SPEAKER_22
transcript.pyannote[466].start 3654.36284375
transcript.pyannote[466].end 3655.74659375
transcript.pyannote[467].speaker SPEAKER_08
transcript.pyannote[467].start 3656.64096875
transcript.pyannote[467].end 3657.02909375
transcript.pyannote[468].speaker SPEAKER_22
transcript.pyannote[468].start 3658.81784375
transcript.pyannote[468].end 3660.30284375
transcript.pyannote[469].speaker SPEAKER_07
transcript.pyannote[469].start 3661.07909375
transcript.pyannote[469].end 3672.28409375
transcript.pyannote[470].speaker SPEAKER_22
transcript.pyannote[470].start 3667.40721875
transcript.pyannote[470].end 3667.42409375
transcript.pyannote[471].speaker SPEAKER_16
transcript.pyannote[471].start 3667.42409375
transcript.pyannote[471].end 3667.86284375
transcript.pyannote[472].speaker SPEAKER_22
transcript.pyannote[472].start 3667.86284375
transcript.pyannote[472].end 3667.96409375
transcript.pyannote[473].speaker SPEAKER_16
transcript.pyannote[473].start 3667.96409375
transcript.pyannote[473].end 3668.03159375
transcript.pyannote[474].speaker SPEAKER_22
transcript.pyannote[474].start 3668.03159375
transcript.pyannote[474].end 3668.13284375
transcript.pyannote[475].speaker SPEAKER_16
transcript.pyannote[475].start 3668.13284375
transcript.pyannote[475].end 3668.14971875
transcript.pyannote[476].speaker SPEAKER_22
transcript.pyannote[476].start 3668.14971875
transcript.pyannote[476].end 3668.75721875
transcript.pyannote[477].speaker SPEAKER_16
transcript.pyannote[477].start 3668.75721875
transcript.pyannote[477].end 3669.26346875
transcript.pyannote[478].speaker SPEAKER_22
transcript.pyannote[478].start 3669.26346875
transcript.pyannote[478].end 3669.28034375
transcript.pyannote[479].speaker SPEAKER_16
transcript.pyannote[479].start 3669.28034375
transcript.pyannote[479].end 3669.29721875
transcript.pyannote[480].speaker SPEAKER_22
transcript.pyannote[480].start 3671.22096875
transcript.pyannote[480].end 3674.07284375
transcript.pyannote[481].speaker SPEAKER_07
transcript.pyannote[481].start 3673.36409375
transcript.pyannote[481].end 3674.83221875
transcript.pyannote[482].speaker SPEAKER_22
transcript.pyannote[482].start 3676.94159375
transcript.pyannote[482].end 3680.90721875
transcript.pyannote[483].speaker SPEAKER_22
transcript.pyannote[483].start 3681.24471875
transcript.pyannote[483].end 3682.93221875
transcript.pyannote[484].speaker SPEAKER_22
transcript.pyannote[484].start 3683.16846875
transcript.pyannote[484].end 3685.34534375
transcript.pyannote[485].speaker SPEAKER_22
transcript.pyannote[485].start 3686.00346875
transcript.pyannote[485].end 3689.44596875
transcript.pyannote[486].speaker SPEAKER_11
transcript.pyannote[486].start 3689.71596875
transcript.pyannote[486].end 3691.45409375
transcript.pyannote[487].speaker SPEAKER_22
transcript.pyannote[487].start 3691.75784375
transcript.pyannote[487].end 3691.90971875
transcript.pyannote[488].speaker SPEAKER_22
transcript.pyannote[488].start 3692.34846875
transcript.pyannote[488].end 3693.66471875
transcript.pyannote[489].speaker SPEAKER_11
transcript.pyannote[489].start 3692.65221875
transcript.pyannote[489].end 3693.68159375
transcript.pyannote[490].speaker SPEAKER_22
transcript.pyannote[490].start 3693.68159375
transcript.pyannote[490].end 3694.79534375
transcript.pyannote[491].speaker SPEAKER_11
transcript.pyannote[491].start 3694.79534375
transcript.pyannote[491].end 3696.90471875
transcript.pyannote[492].speaker SPEAKER_22
transcript.pyannote[492].start 3695.67284375
transcript.pyannote[492].end 3696.80346875
transcript.pyannote[493].speaker SPEAKER_11
transcript.pyannote[493].start 3697.78221875
transcript.pyannote[493].end 3705.24096875
transcript.pyannote[494].speaker SPEAKER_22
transcript.pyannote[494].start 3698.59221875
transcript.pyannote[494].end 3698.96346875
transcript.pyannote[495].speaker SPEAKER_22
transcript.pyannote[495].start 3702.15284375
transcript.pyannote[495].end 3703.73909375
transcript.pyannote[496].speaker SPEAKER_22
transcript.pyannote[496].start 3704.26221875
transcript.pyannote[496].end 3704.97096875
transcript.pyannote[497].speaker SPEAKER_11
transcript.pyannote[497].start 3705.67971875
transcript.pyannote[497].end 3711.72096875
transcript.pyannote[498].speaker SPEAKER_22
transcript.pyannote[498].start 3707.62034375
transcript.pyannote[498].end 3708.56534375
transcript.pyannote[499].speaker SPEAKER_22
transcript.pyannote[499].start 3710.60721875
transcript.pyannote[499].end 3713.54346875
transcript.pyannote[500].speaker SPEAKER_11
transcript.pyannote[500].start 3713.96534375
transcript.pyannote[500].end 3721.42409375
transcript.pyannote[501].speaker SPEAKER_22
transcript.pyannote[501].start 3721.42409375
transcript.pyannote[501].end 3725.87909375
transcript.pyannote[502].speaker SPEAKER_11
transcript.pyannote[502].start 3721.84596875
transcript.pyannote[502].end 3722.41971875
transcript.pyannote[503].speaker SPEAKER_11
transcript.pyannote[503].start 3724.83284375
transcript.pyannote[503].end 3724.98471875
transcript.pyannote[504].speaker SPEAKER_22
transcript.pyannote[504].start 3725.94659375
transcript.pyannote[504].end 3733.30409375
transcript.pyannote[505].speaker SPEAKER_22
transcript.pyannote[505].start 3733.47284375
transcript.pyannote[505].end 3736.99971875
transcript.pyannote[506].speaker SPEAKER_14
transcript.pyannote[506].start 3737.06721875
transcript.pyannote[506].end 3740.56034375
transcript.pyannote[507].speaker SPEAKER_22
transcript.pyannote[507].start 3737.84346875
transcript.pyannote[507].end 3738.33284375
transcript.pyannote[508].speaker SPEAKER_22
transcript.pyannote[508].start 3738.78846875
transcript.pyannote[508].end 3741.80909375
transcript.pyannote[509].speaker SPEAKER_14
transcript.pyannote[509].start 3741.04971875
transcript.pyannote[509].end 3741.60659375
transcript.pyannote[510].speaker SPEAKER_22
transcript.pyannote[510].start 3742.12971875
transcript.pyannote[510].end 3744.00284375
transcript.pyannote[511].speaker SPEAKER_14
transcript.pyannote[511].start 3742.46721875
transcript.pyannote[511].end 3744.76221875
transcript.pyannote[512].speaker SPEAKER_22
transcript.pyannote[512].start 3744.08721875
transcript.pyannote[512].end 3745.03221875
transcript.pyannote[513].speaker SPEAKER_14
transcript.pyannote[513].start 3745.03221875
transcript.pyannote[513].end 3745.04909375
transcript.pyannote[514].speaker SPEAKER_22
transcript.pyannote[514].start 3745.04909375
transcript.pyannote[514].end 3745.09971875
transcript.pyannote[515].speaker SPEAKER_14
transcript.pyannote[515].start 3745.26846875
transcript.pyannote[515].end 3745.60596875
transcript.pyannote[516].speaker SPEAKER_22
transcript.pyannote[516].start 3745.89284375
transcript.pyannote[516].end 3745.92659375
transcript.pyannote[517].speaker SPEAKER_14
transcript.pyannote[517].start 3745.92659375
transcript.pyannote[517].end 3746.36534375
transcript.pyannote[518].speaker SPEAKER_22
transcript.pyannote[518].start 3746.11221875
transcript.pyannote[518].end 3746.19659375
transcript.pyannote[519].speaker SPEAKER_22
transcript.pyannote[519].start 3746.36534375
transcript.pyannote[519].end 3747.68159375
transcript.pyannote[520].speaker SPEAKER_14
transcript.pyannote[520].start 3747.68159375
transcript.pyannote[520].end 3747.74909375
transcript.pyannote[521].speaker SPEAKER_14
transcript.pyannote[521].start 3748.42409375
transcript.pyannote[521].end 3749.97659375
transcript.pyannote[522].speaker SPEAKER_14
transcript.pyannote[522].start 3750.24659375
transcript.pyannote[522].end 3761.63721875
transcript.pyannote[523].speaker SPEAKER_22
transcript.pyannote[523].start 3756.03471875
transcript.pyannote[523].end 3756.84471875
transcript.pyannote[524].speaker SPEAKER_16
transcript.pyannote[524].start 3756.84471875
transcript.pyannote[524].end 3756.89534375
transcript.pyannote[525].speaker SPEAKER_22
transcript.pyannote[525].start 3756.89534375
transcript.pyannote[525].end 3758.36346875
transcript.pyannote[526].speaker SPEAKER_16
transcript.pyannote[526].start 3758.70096875
transcript.pyannote[526].end 3758.71784375
transcript.pyannote[527].speaker SPEAKER_22
transcript.pyannote[527].start 3758.71784375
transcript.pyannote[527].end 3761.56971875
transcript.pyannote[528].speaker SPEAKER_22
transcript.pyannote[528].start 3761.63721875
transcript.pyannote[528].end 3761.65409375
transcript.pyannote[529].speaker SPEAKER_14
transcript.pyannote[529].start 3761.97471875
transcript.pyannote[529].end 3762.93659375
transcript.pyannote[530].speaker SPEAKER_22
transcript.pyannote[530].start 3762.39659375
transcript.pyannote[530].end 3765.68721875
transcript.pyannote[531].speaker SPEAKER_14
transcript.pyannote[531].start 3763.57784375
transcript.pyannote[531].end 3765.45096875
transcript.pyannote[532].speaker SPEAKER_14
transcript.pyannote[532].start 3765.68721875
transcript.pyannote[532].end 3765.70409375
transcript.pyannote[533].speaker SPEAKER_22
transcript.pyannote[533].start 3765.70409375
transcript.pyannote[533].end 3771.27284375
transcript.pyannote[534].speaker SPEAKER_14
transcript.pyannote[534].start 3765.72096875
transcript.pyannote[534].end 3765.82221875
transcript.pyannote[535].speaker SPEAKER_14
transcript.pyannote[535].start 3769.04534375
transcript.pyannote[535].end 3773.97284375
transcript.pyannote[536].speaker SPEAKER_22
transcript.pyannote[536].start 3772.82534375
transcript.pyannote[536].end 3776.21721875
transcript.pyannote[537].speaker SPEAKER_22
transcript.pyannote[537].start 3776.65596875
transcript.pyannote[537].end 3779.69346875
transcript.pyannote[538].speaker SPEAKER_22
transcript.pyannote[538].start 3780.04784375
transcript.pyannote[538].end 3782.02221875
transcript.pyannote[539].speaker SPEAKER_14
transcript.pyannote[539].start 3782.07284375
transcript.pyannote[539].end 3786.47721875
transcript.pyannote[540].speaker SPEAKER_22
transcript.pyannote[540].start 3782.83221875
transcript.pyannote[540].end 3783.89534375
transcript.pyannote[541].speaker SPEAKER_22
transcript.pyannote[541].start 3785.17784375
transcript.pyannote[541].end 3785.95409375
transcript.pyannote[542].speaker SPEAKER_22
transcript.pyannote[542].start 3785.98784375
transcript.pyannote[542].end 3786.00471875
transcript.pyannote[543].speaker SPEAKER_22
transcript.pyannote[543].start 3786.05534375
transcript.pyannote[543].end 3790.07159375
transcript.pyannote[544].speaker SPEAKER_22
transcript.pyannote[544].start 3790.35846875
transcript.pyannote[544].end 3790.94909375
transcript.pyannote[545].speaker SPEAKER_22
transcript.pyannote[545].start 3792.29909375
transcript.pyannote[545].end 3795.40409375
transcript.pyannote[546].speaker SPEAKER_22
transcript.pyannote[546].start 3795.84284375
transcript.pyannote[546].end 3797.49659375
transcript.pyannote[547].speaker SPEAKER_22
transcript.pyannote[547].start 3798.27284375
transcript.pyannote[547].end 3800.48346875
transcript.pyannote[548].speaker SPEAKER_22
transcript.pyannote[548].start 3801.12471875
transcript.pyannote[548].end 3801.76596875
transcript.pyannote[549].speaker SPEAKER_22
transcript.pyannote[549].start 3802.33971875
transcript.pyannote[549].end 3804.12846875
transcript.pyannote[550].speaker SPEAKER_22
transcript.pyannote[550].start 3804.55034375
transcript.pyannote[550].end 3809.12346875
transcript.pyannote[551].speaker SPEAKER_22
transcript.pyannote[551].start 3810.72659375
transcript.pyannote[551].end 3811.67159375
transcript.pyannote[552].speaker SPEAKER_22
transcript.pyannote[552].start 3812.80221875
transcript.pyannote[552].end 3813.10596875
transcript.pyannote[553].speaker SPEAKER_22
transcript.pyannote[553].start 3813.47721875
transcript.pyannote[553].end 3815.01284375
transcript.pyannote[554].speaker SPEAKER_22
transcript.pyannote[554].start 3820.09221875
transcript.pyannote[554].end 3822.92721875
transcript.pyannote[555].speaker SPEAKER_22
transcript.pyannote[555].start 3824.20971875
transcript.pyannote[555].end 3825.62721875
transcript.pyannote[556].speaker SPEAKER_22
transcript.pyannote[556].start 3825.72846875
transcript.pyannote[556].end 3827.38221875
transcript.pyannote[557].speaker SPEAKER_22
transcript.pyannote[557].start 3827.60159375
transcript.pyannote[557].end 3830.92596875
transcript.pyannote[558].speaker SPEAKER_22
transcript.pyannote[558].start 3831.12846875
transcript.pyannote[558].end 3832.12409375
transcript.pyannote[559].speaker SPEAKER_14
transcript.pyannote[559].start 3832.73159375
transcript.pyannote[559].end 3832.74846875
transcript.pyannote[560].speaker SPEAKER_22
transcript.pyannote[560].start 3832.74846875
transcript.pyannote[560].end 3834.45284375
transcript.pyannote[561].speaker SPEAKER_22
transcript.pyannote[561].start 3835.61721875
transcript.pyannote[561].end 3836.46096875
transcript.pyannote[562].speaker SPEAKER_14
transcript.pyannote[562].start 3836.62971875
transcript.pyannote[562].end 3837.49034375
transcript.pyannote[563].speaker SPEAKER_22
transcript.pyannote[563].start 3837.49034375
transcript.pyannote[563].end 3844.62846875
transcript.pyannote[564].speaker SPEAKER_12
transcript.pyannote[564].start 3840.78096875
transcript.pyannote[564].end 3841.10159375
transcript.pyannote[565].speaker SPEAKER_22
transcript.pyannote[565].start 3845.16846875
transcript.pyannote[565].end 3846.95721875
transcript.pyannote[566].speaker SPEAKER_22
transcript.pyannote[566].start 3847.09221875
transcript.pyannote[566].end 3851.27721875
transcript.pyannote[567].speaker SPEAKER_03
transcript.pyannote[567].start 3852.12096875
transcript.pyannote[567].end 3852.72846875
transcript.pyannote[568].speaker SPEAKER_22
transcript.pyannote[568].start 3852.30659375
transcript.pyannote[568].end 3852.69471875
transcript.pyannote[569].speaker SPEAKER_22
transcript.pyannote[569].start 3852.72846875
transcript.pyannote[569].end 3852.74534375
transcript.pyannote[570].speaker SPEAKER_03
transcript.pyannote[570].start 3852.74534375
transcript.pyannote[570].end 3852.77909375
transcript.pyannote[571].speaker SPEAKER_03
transcript.pyannote[571].start 3853.01534375
transcript.pyannote[571].end 3857.28471875
transcript.pyannote[572].speaker SPEAKER_22
transcript.pyannote[572].start 3854.46659375
transcript.pyannote[572].end 3855.79971875
transcript.pyannote[573].speaker SPEAKER_03
transcript.pyannote[573].start 3858.22971875
transcript.pyannote[573].end 3860.67659375
transcript.pyannote[574].speaker SPEAKER_22
transcript.pyannote[574].start 3858.48284375
transcript.pyannote[574].end 3860.62596875
transcript.pyannote[575].speaker SPEAKER_22
transcript.pyannote[575].start 3860.67659375
transcript.pyannote[575].end 3860.71034375
transcript.pyannote[576].speaker SPEAKER_22
transcript.pyannote[576].start 3862.04346875
transcript.pyannote[576].end 3864.45659375
transcript.pyannote[577].speaker SPEAKER_22
transcript.pyannote[577].start 3865.11471875
transcript.pyannote[577].end 3866.31284375
transcript.pyannote[578].speaker SPEAKER_22
transcript.pyannote[578].start 3866.56596875
transcript.pyannote[578].end 3866.61659375
transcript.pyannote[579].speaker SPEAKER_03
transcript.pyannote[579].start 3866.61659375
transcript.pyannote[579].end 3870.04221875
transcript.pyannote[580].speaker SPEAKER_22
transcript.pyannote[580].start 3869.45159375
transcript.pyannote[580].end 3869.63721875
transcript.pyannote[581].speaker SPEAKER_03
transcript.pyannote[581].start 3871.30784375
transcript.pyannote[581].end 3874.02471875
transcript.pyannote[582].speaker SPEAKER_03
transcript.pyannote[582].start 3874.34534375
transcript.pyannote[582].end 3876.52221875
transcript.pyannote[583].speaker SPEAKER_03
transcript.pyannote[583].start 3876.72471875
transcript.pyannote[583].end 3880.03221875
transcript.pyannote[584].speaker SPEAKER_22
transcript.pyannote[584].start 3879.22221875
transcript.pyannote[584].end 3879.61034375
transcript.pyannote[585].speaker SPEAKER_03
transcript.pyannote[585].start 3880.69034375
transcript.pyannote[585].end 3885.83721875
transcript.pyannote[586].speaker SPEAKER_00
transcript.pyannote[586].start 3880.74096875
transcript.pyannote[586].end 3880.79159375
transcript.pyannote[587].speaker SPEAKER_16
transcript.pyannote[587].start 3880.79159375
transcript.pyannote[587].end 3880.80846875
transcript.pyannote[588].speaker SPEAKER_22
transcript.pyannote[588].start 3880.80846875
transcript.pyannote[588].end 3881.14596875
transcript.pyannote[589].speaker SPEAKER_03
transcript.pyannote[589].start 3885.87096875
transcript.pyannote[589].end 3889.80284375
transcript.pyannote[590].speaker SPEAKER_22
transcript.pyannote[590].start 3886.25909375
transcript.pyannote[590].end 3886.73159375
transcript.pyannote[591].speaker SPEAKER_22
transcript.pyannote[591].start 3886.86659375
transcript.pyannote[591].end 3887.76096875
transcript.pyannote[592].speaker SPEAKER_03
transcript.pyannote[592].start 3889.85346875
transcript.pyannote[592].end 3889.90409375
transcript.pyannote[593].speaker SPEAKER_22
transcript.pyannote[593].start 3889.90409375
transcript.pyannote[593].end 3891.72659375
transcript.pyannote[594].speaker SPEAKER_22
transcript.pyannote[594].start 3892.16534375
transcript.pyannote[594].end 3894.35909375
transcript.pyannote[595].speaker SPEAKER_22
transcript.pyannote[595].start 3894.91596875
transcript.pyannote[595].end 3895.64159375
transcript.pyannote[596].speaker SPEAKER_22
transcript.pyannote[596].start 3896.33346875
transcript.pyannote[596].end 3899.80971875
transcript.pyannote[597].speaker SPEAKER_14
transcript.pyannote[597].start 3899.80971875
transcript.pyannote[597].end 3900.31596875
transcript.pyannote[598].speaker SPEAKER_22
transcript.pyannote[598].start 3900.07971875
transcript.pyannote[598].end 3904.28159375
transcript.pyannote[599].speaker SPEAKER_22
transcript.pyannote[599].start 3904.56846875
transcript.pyannote[599].end 3905.32784375
transcript.pyannote[600].speaker SPEAKER_22
transcript.pyannote[600].start 3905.64846875
transcript.pyannote[600].end 3908.24721875
transcript.pyannote[601].speaker SPEAKER_22
transcript.pyannote[601].start 3908.66909375
transcript.pyannote[601].end 3910.20471875
transcript.pyannote[602].speaker SPEAKER_22
transcript.pyannote[602].start 3910.59284375
transcript.pyannote[602].end 3910.98096875
transcript.pyannote[603].speaker SPEAKER_03
transcript.pyannote[603].start 3910.98096875
transcript.pyannote[603].end 3911.01471875
transcript.pyannote[604].speaker SPEAKER_03
transcript.pyannote[604].start 3911.23409375
transcript.pyannote[604].end 3914.86221875
transcript.pyannote[605].speaker SPEAKER_22
transcript.pyannote[605].start 3914.33909375
transcript.pyannote[605].end 3914.65971875
transcript.pyannote[606].speaker SPEAKER_03
transcript.pyannote[606].start 3915.19971875
transcript.pyannote[606].end 3918.91221875
transcript.pyannote[607].speaker SPEAKER_22
transcript.pyannote[607].start 3917.20784375
transcript.pyannote[607].end 3917.74784375
transcript.pyannote[608].speaker SPEAKER_03
transcript.pyannote[608].start 3919.24971875
transcript.pyannote[608].end 3919.60409375
transcript.pyannote[609].speaker SPEAKER_14
transcript.pyannote[609].start 3919.60409375
transcript.pyannote[609].end 3920.36346875
transcript.pyannote[610].speaker SPEAKER_03
transcript.pyannote[610].start 3920.36346875
transcript.pyannote[610].end 3920.70096875
transcript.pyannote[611].speaker SPEAKER_14
transcript.pyannote[611].start 3920.70096875
transcript.pyannote[611].end 3920.71784375
transcript.pyannote[612].speaker SPEAKER_14
transcript.pyannote[612].start 3920.98784375
transcript.pyannote[612].end 3946.14846875
transcript.pyannote[613].speaker SPEAKER_13
transcript.pyannote[613].start 3921.29159375
transcript.pyannote[613].end 3921.34221875
transcript.pyannote[614].speaker SPEAKER_03
transcript.pyannote[614].start 3921.34221875
transcript.pyannote[614].end 3921.42659375
transcript.pyannote[615].speaker SPEAKER_22
transcript.pyannote[615].start 3921.42659375
transcript.pyannote[615].end 3921.52784375
transcript.pyannote[616].speaker SPEAKER_13
transcript.pyannote[616].start 3921.52784375
transcript.pyannote[616].end 3921.61221875
transcript.pyannote[617].speaker SPEAKER_03
transcript.pyannote[617].start 3925.45971875
transcript.pyannote[617].end 3925.61159375
transcript.pyannote[618].speaker SPEAKER_16
transcript.pyannote[618].start 3928.24409375
transcript.pyannote[618].end 3928.73346875
transcript.pyannote[619].speaker SPEAKER_14
transcript.pyannote[619].start 3947.00909375
transcript.pyannote[619].end 3947.76846875
transcript.pyannote[620].speaker SPEAKER_22
transcript.pyannote[620].start 3947.98784375
transcript.pyannote[620].end 3951.91971875
transcript.pyannote[621].speaker SPEAKER_22
transcript.pyannote[621].start 3952.15596875
transcript.pyannote[621].end 3952.18971875
transcript.pyannote[622].speaker SPEAKER_14
transcript.pyannote[622].start 3952.18971875
transcript.pyannote[622].end 3952.37534375
transcript.pyannote[623].speaker SPEAKER_22
transcript.pyannote[623].start 3952.37534375
transcript.pyannote[623].end 3952.39221875
transcript.pyannote[624].speaker SPEAKER_22
transcript.pyannote[624].start 3952.76346875
transcript.pyannote[624].end 3954.33284375
transcript.pyannote[625].speaker SPEAKER_22
transcript.pyannote[625].start 3954.78846875
transcript.pyannote[625].end 3957.04971875
transcript.pyannote[626].speaker SPEAKER_22
transcript.pyannote[626].start 3957.18471875
transcript.pyannote[626].end 3957.82596875
transcript.pyannote[627].speaker SPEAKER_22
transcript.pyannote[627].start 3958.12971875
transcript.pyannote[627].end 3959.22659375
transcript.pyannote[628].speaker SPEAKER_14
transcript.pyannote[628].start 3959.22659375
transcript.pyannote[628].end 3959.27721875
transcript.pyannote[629].speaker SPEAKER_22
transcript.pyannote[629].start 3959.86784375
transcript.pyannote[629].end 3959.91846875
transcript.pyannote[630].speaker SPEAKER_14
transcript.pyannote[630].start 3959.91846875
transcript.pyannote[630].end 3962.44971875
transcript.pyannote[631].speaker SPEAKER_03
transcript.pyannote[631].start 3961.23471875
transcript.pyannote[631].end 3964.52534375
transcript.pyannote[632].speaker SPEAKER_14
transcript.pyannote[632].start 3962.58471875
transcript.pyannote[632].end 3963.27659375
transcript.pyannote[633].speaker SPEAKER_14
transcript.pyannote[633].start 3964.66034375
transcript.pyannote[633].end 3965.52096875
transcript.pyannote[634].speaker SPEAKER_22
transcript.pyannote[634].start 3965.52096875
transcript.pyannote[634].end 3965.53784375
transcript.pyannote[635].speaker SPEAKER_22
transcript.pyannote[635].start 3966.28034375
transcript.pyannote[635].end 3967.14096875
transcript.pyannote[636].speaker SPEAKER_03
transcript.pyannote[636].start 3967.69784375
transcript.pyannote[636].end 3969.55409375
transcript.pyannote[637].speaker SPEAKER_03
transcript.pyannote[637].start 3969.97596875
transcript.pyannote[637].end 3978.88596875
transcript.pyannote[638].speaker SPEAKER_22
transcript.pyannote[638].start 3978.24471875
transcript.pyannote[638].end 3979.74659375
transcript.pyannote[639].speaker SPEAKER_03
transcript.pyannote[639].start 3979.74659375
transcript.pyannote[639].end 3980.38784375
transcript.pyannote[640].speaker SPEAKER_03
transcript.pyannote[640].start 3981.34971875
transcript.pyannote[640].end 3988.50471875
transcript.pyannote[641].speaker SPEAKER_22
transcript.pyannote[641].start 3986.39534375
transcript.pyannote[641].end 3988.55534375
transcript.pyannote[642].speaker SPEAKER_03
transcript.pyannote[642].start 3988.55534375
transcript.pyannote[642].end 3988.57221875
transcript.pyannote[643].speaker SPEAKER_03
transcript.pyannote[643].start 3989.53409375
transcript.pyannote[643].end 3994.54596875
transcript.pyannote[644].speaker SPEAKER_22
transcript.pyannote[644].start 3990.90096875
transcript.pyannote[644].end 3992.35221875
transcript.pyannote[645].speaker SPEAKER_22
transcript.pyannote[645].start 3993.92159375
transcript.pyannote[645].end 3994.32659375
transcript.pyannote[646].speaker SPEAKER_22
transcript.pyannote[646].start 3994.54596875
transcript.pyannote[646].end 3995.01846875
transcript.pyannote[647].speaker SPEAKER_03
transcript.pyannote[647].start 3995.01846875
transcript.pyannote[647].end 3995.20409375
transcript.pyannote[648].speaker SPEAKER_22
transcript.pyannote[648].start 3995.38971875
transcript.pyannote[648].end 3995.40659375
transcript.pyannote[649].speaker SPEAKER_03
transcript.pyannote[649].start 3995.40659375
transcript.pyannote[649].end 3995.92971875
transcript.pyannote[650].speaker SPEAKER_03
transcript.pyannote[650].start 3996.30096875
transcript.pyannote[650].end 3997.75221875
transcript.pyannote[651].speaker SPEAKER_03
transcript.pyannote[651].start 3998.14034375
transcript.pyannote[651].end 4005.19409375
transcript.pyannote[652].speaker SPEAKER_22
transcript.pyannote[652].start 4001.53221875
transcript.pyannote[652].end 4002.25784375
transcript.pyannote[653].speaker SPEAKER_22
transcript.pyannote[653].start 4004.63721875
transcript.pyannote[653].end 4007.99534375
transcript.pyannote[654].speaker SPEAKER_03
transcript.pyannote[654].start 4005.85221875
transcript.pyannote[654].end 4007.79284375
transcript.pyannote[655].speaker SPEAKER_22
transcript.pyannote[655].start 4008.46784375
transcript.pyannote[655].end 4009.10909375
transcript.pyannote[656].speaker SPEAKER_22
transcript.pyannote[656].start 4009.96971875
transcript.pyannote[656].end 4012.73721875
transcript.pyannote[657].speaker SPEAKER_22
transcript.pyannote[657].start 4013.27721875
transcript.pyannote[657].end 4015.26846875
transcript.pyannote[658].speaker SPEAKER_22
transcript.pyannote[658].start 4016.56784375
transcript.pyannote[658].end 4018.49159375
transcript.pyannote[659].speaker SPEAKER_22
transcript.pyannote[659].start 4019.67284375
transcript.pyannote[659].end 4020.34784375
transcript.pyannote[660].speaker SPEAKER_22
transcript.pyannote[660].start 4020.53346875
transcript.pyannote[660].end 4021.68096875
transcript.pyannote[661].speaker SPEAKER_22
transcript.pyannote[661].start 4022.45721875
transcript.pyannote[661].end 4023.28409375
transcript.pyannote[662].speaker SPEAKER_22
transcript.pyannote[662].start 4023.31784375
transcript.pyannote[662].end 4025.39346875
transcript.pyannote[663].speaker SPEAKER_22
transcript.pyannote[663].start 4025.78159375
transcript.pyannote[663].end 4027.19909375
transcript.pyannote[664].speaker SPEAKER_22
transcript.pyannote[664].start 4027.21596875
transcript.pyannote[664].end 4027.45221875
transcript.pyannote[665].speaker SPEAKER_22
transcript.pyannote[665].start 4027.77284375
transcript.pyannote[665].end 4029.42659375
transcript.pyannote[666].speaker SPEAKER_22
transcript.pyannote[666].start 4030.33784375
transcript.pyannote[666].end 4030.96221875
transcript.pyannote[667].speaker SPEAKER_22
transcript.pyannote[667].start 4031.43471875
transcript.pyannote[667].end 4032.73409375
transcript.pyannote[668].speaker SPEAKER_22
transcript.pyannote[668].start 4035.92346875
transcript.pyannote[668].end 4038.08346875
transcript.pyannote[669].speaker SPEAKER_22
transcript.pyannote[669].start 4038.67409375
transcript.pyannote[669].end 4040.74971875
transcript.pyannote[670].speaker SPEAKER_22
transcript.pyannote[670].start 4042.23471875
transcript.pyannote[670].end 4046.84159375
transcript.pyannote[671].speaker SPEAKER_22
transcript.pyannote[671].start 4048.03971875
transcript.pyannote[671].end 4048.71471875
transcript.pyannote[672].speaker SPEAKER_22
transcript.pyannote[672].start 4049.38971875
transcript.pyannote[672].end 4051.11096875
transcript.pyannote[673].speaker SPEAKER_22
transcript.pyannote[673].start 4051.70159375
transcript.pyannote[673].end 4053.27096875
transcript.pyannote[674].speaker SPEAKER_22
transcript.pyannote[674].start 4054.24971875
transcript.pyannote[674].end 4055.48159375
transcript.pyannote[675].speaker SPEAKER_22
transcript.pyannote[675].start 4055.68409375
transcript.pyannote[675].end 4057.69221875
transcript.pyannote[676].speaker SPEAKER_22
transcript.pyannote[676].start 4058.18159375
transcript.pyannote[676].end 4061.03346875
transcript.pyannote[677].speaker SPEAKER_22
transcript.pyannote[677].start 4061.48909375
transcript.pyannote[677].end 4063.02471875
transcript.pyannote[678].speaker SPEAKER_22
transcript.pyannote[678].start 4063.26096875
transcript.pyannote[678].end 4067.19284375
transcript.pyannote[679].speaker SPEAKER_22
transcript.pyannote[679].start 4067.47971875
transcript.pyannote[679].end 4067.95221875
transcript.pyannote[680].speaker SPEAKER_22
transcript.pyannote[680].start 4068.59346875
transcript.pyannote[680].end 4069.77471875
transcript.pyannote[681].speaker SPEAKER_22
transcript.pyannote[681].start 4069.97721875
transcript.pyannote[681].end 4070.71971875
transcript.pyannote[682].speaker SPEAKER_22
transcript.pyannote[682].start 4071.44534375
transcript.pyannote[682].end 4072.37346875
transcript.pyannote[683].speaker SPEAKER_22
transcript.pyannote[683].start 4072.69409375
transcript.pyannote[683].end 4073.28471875
transcript.pyannote[684].speaker SPEAKER_22
transcript.pyannote[684].start 4073.67284375
transcript.pyannote[684].end 4075.27596875
transcript.pyannote[685].speaker SPEAKER_22
transcript.pyannote[685].start 4075.79909375
transcript.pyannote[685].end 4076.49096875
transcript.pyannote[686].speaker SPEAKER_22
transcript.pyannote[686].start 4076.76096875
transcript.pyannote[686].end 4078.98846875
transcript.pyannote[687].speaker SPEAKER_22
transcript.pyannote[687].start 4079.29221875
transcript.pyannote[687].end 4081.53659375
transcript.pyannote[688].speaker SPEAKER_22
transcript.pyannote[688].start 4082.04284375
transcript.pyannote[688].end 4082.49846875
transcript.pyannote[689].speaker SPEAKER_22
transcript.pyannote[689].start 4083.39284375
transcript.pyannote[689].end 4083.78096875
transcript.pyannote[690].speaker SPEAKER_03
transcript.pyannote[690].start 4083.78096875
transcript.pyannote[690].end 4085.60346875
transcript.pyannote[691].speaker SPEAKER_22
transcript.pyannote[691].start 4083.84846875
transcript.pyannote[691].end 4084.11846875
transcript.pyannote[692].speaker SPEAKER_03
transcript.pyannote[692].start 4086.02534375
transcript.pyannote[692].end 4100.13284375
transcript.pyannote[693].speaker SPEAKER_22
transcript.pyannote[693].start 4101.16221875
transcript.pyannote[693].end 4105.02659375
transcript.pyannote[694].speaker SPEAKER_22
transcript.pyannote[694].start 4105.43159375
transcript.pyannote[694].end 4107.40596875
transcript.pyannote[695].speaker SPEAKER_22
transcript.pyannote[695].start 4107.64221875
transcript.pyannote[695].end 4115.20221875
transcript.pyannote[696].speaker SPEAKER_22
transcript.pyannote[696].start 4116.43409375
transcript.pyannote[696].end 4117.96971875
transcript.pyannote[697].speaker SPEAKER_22
transcript.pyannote[697].start 4118.20596875
transcript.pyannote[697].end 4121.04096875
transcript.pyannote[698].speaker SPEAKER_22
transcript.pyannote[698].start 4121.56409375
transcript.pyannote[698].end 4126.52534375
transcript.pyannote[699].speaker SPEAKER_03
transcript.pyannote[699].start 4127.99346875
transcript.pyannote[699].end 4140.85221875
transcript.pyannote[700].speaker SPEAKER_22
transcript.pyannote[700].start 4139.29971875
transcript.pyannote[700].end 4142.74221875
transcript.pyannote[701].speaker SPEAKER_22
transcript.pyannote[701].start 4143.02909375
transcript.pyannote[701].end 4147.53471875
transcript.pyannote[702].speaker SPEAKER_22
transcript.pyannote[702].start 4147.87221875
transcript.pyannote[702].end 4151.39909375
transcript.pyannote[703].speaker SPEAKER_22
transcript.pyannote[703].start 4151.63534375
transcript.pyannote[703].end 4153.39034375
transcript.pyannote[704].speaker SPEAKER_22
transcript.pyannote[704].start 4153.79534375
transcript.pyannote[704].end 4155.48284375
transcript.pyannote[705].speaker SPEAKER_22
transcript.pyannote[705].start 4155.95534375
transcript.pyannote[705].end 4158.06471875
transcript.pyannote[706].speaker SPEAKER_22
transcript.pyannote[706].start 4158.28409375
transcript.pyannote[706].end 4159.73534375
transcript.pyannote[707].speaker SPEAKER_22
transcript.pyannote[707].start 4160.69721875
transcript.pyannote[707].end 4163.54909375
transcript.pyannote[708].speaker SPEAKER_22
transcript.pyannote[708].start 4163.68409375
transcript.pyannote[708].end 4165.35471875
transcript.pyannote[709].speaker SPEAKER_22
transcript.pyannote[709].start 4166.13096875
transcript.pyannote[709].end 4172.00346875
transcript.pyannote[710].speaker SPEAKER_22
transcript.pyannote[710].start 4172.37471875
transcript.pyannote[710].end 4173.60659375
transcript.pyannote[711].speaker SPEAKER_22
transcript.pyannote[711].start 4173.91034375
transcript.pyannote[711].end 4174.73721875
transcript.pyannote[712].speaker SPEAKER_22
transcript.pyannote[712].start 4175.00721875
transcript.pyannote[712].end 4175.56409375
transcript.pyannote[713].speaker SPEAKER_16
transcript.pyannote[713].start 4175.91846875
transcript.pyannote[713].end 4175.96909375
transcript.pyannote[714].speaker SPEAKER_22
transcript.pyannote[714].start 4175.96909375
transcript.pyannote[714].end 4179.25971875
transcript.pyannote[715].speaker SPEAKER_22
transcript.pyannote[715].start 4179.64784375
transcript.pyannote[715].end 4180.35659375
transcript.pyannote[716].speaker SPEAKER_22
transcript.pyannote[716].start 4181.09909375
transcript.pyannote[716].end 4181.95971875
transcript.pyannote[717].speaker SPEAKER_22
transcript.pyannote[717].start 4182.31409375
transcript.pyannote[717].end 4183.51221875
transcript.pyannote[718].speaker SPEAKER_22
transcript.pyannote[718].start 4183.88346875
transcript.pyannote[718].end 4185.16596875
transcript.pyannote[719].speaker SPEAKER_22
transcript.pyannote[719].start 4185.41909375
transcript.pyannote[719].end 4186.06034375
transcript.pyannote[720].speaker SPEAKER_22
transcript.pyannote[720].start 4186.71846875
transcript.pyannote[720].end 4187.25846875
transcript.pyannote[721].speaker SPEAKER_22
transcript.pyannote[721].start 4187.32596875
transcript.pyannote[721].end 4187.79846875
transcript.pyannote[722].speaker SPEAKER_22
transcript.pyannote[722].start 4188.81096875
transcript.pyannote[722].end 4191.69659375
transcript.pyannote[723].speaker SPEAKER_22
transcript.pyannote[723].start 4191.96659375
transcript.pyannote[723].end 4192.57409375
transcript.pyannote[724].speaker SPEAKER_22
transcript.pyannote[724].start 4193.18159375
transcript.pyannote[724].end 4195.96596875
transcript.pyannote[725].speaker SPEAKER_14
transcript.pyannote[725].start 4195.96596875
transcript.pyannote[725].end 4196.26971875
transcript.pyannote[726].speaker SPEAKER_22
transcript.pyannote[726].start 4196.57346875
transcript.pyannote[726].end 4196.59034375
transcript.pyannote[727].speaker SPEAKER_14
transcript.pyannote[727].start 4196.59034375
transcript.pyannote[727].end 4209.39846875
transcript.pyannote[728].speaker SPEAKER_22
transcript.pyannote[728].start 4203.50909375
transcript.pyannote[728].end 4204.70721875
transcript.pyannote[729].speaker SPEAKER_16
transcript.pyannote[729].start 4207.55909375
transcript.pyannote[729].end 4208.03159375
transcript.pyannote[730].speaker SPEAKER_20
transcript.pyannote[730].start 4208.03159375
transcript.pyannote[730].end 4208.50409375
transcript.pyannote[731].speaker SPEAKER_20
transcript.pyannote[731].start 4210.71471875
transcript.pyannote[731].end 4212.38534375
transcript.pyannote[732].speaker SPEAKER_20
transcript.pyannote[732].start 4213.39784375
transcript.pyannote[732].end 4215.81096875
transcript.pyannote[733].speaker SPEAKER_00
transcript.pyannote[733].start 4226.76284375
transcript.pyannote[733].end 4228.45034375
transcript.pyannote[734].speaker SPEAKER_00
transcript.pyannote[734].start 4228.82159375
transcript.pyannote[734].end 4229.64846875
transcript.pyannote[735].speaker SPEAKER_00
transcript.pyannote[735].start 4234.28909375
transcript.pyannote[735].end 4234.81221875
transcript.pyannote[736].speaker SPEAKER_00
transcript.pyannote[736].start 4235.47034375
transcript.pyannote[736].end 4236.44909375
transcript.pyannote[737].speaker SPEAKER_00
transcript.pyannote[737].start 4237.57971875
transcript.pyannote[737].end 4239.01409375
transcript.pyannote[738].speaker SPEAKER_00
transcript.pyannote[738].start 4239.50346875
transcript.pyannote[738].end 4242.28784375
transcript.pyannote[739].speaker SPEAKER_00
transcript.pyannote[739].start 4242.59159375
transcript.pyannote[739].end 4261.72784375
transcript.pyannote[740].speaker SPEAKER_00
transcript.pyannote[740].start 4262.13284375
transcript.pyannote[740].end 4268.93346875
transcript.pyannote[741].speaker SPEAKER_00
transcript.pyannote[741].start 4269.49034375
transcript.pyannote[741].end 4270.77284375
transcript.pyannote[742].speaker SPEAKER_14
transcript.pyannote[742].start 4271.51534375
transcript.pyannote[742].end 4272.32534375
transcript.pyannote[743].speaker SPEAKER_00
transcript.pyannote[743].start 4272.52784375
transcript.pyannote[743].end 4274.77221875
transcript.pyannote[744].speaker SPEAKER_00
transcript.pyannote[744].start 4275.24471875
transcript.pyannote[744].end 4277.10096875
transcript.pyannote[745].speaker SPEAKER_00
transcript.pyannote[745].start 4277.53971875
transcript.pyannote[745].end 4279.53096875
transcript.pyannote[746].speaker SPEAKER_00
transcript.pyannote[746].start 4280.66159375
transcript.pyannote[746].end 4281.35346875
transcript.pyannote[747].speaker SPEAKER_00
transcript.pyannote[747].start 4282.02846875
transcript.pyannote[747].end 4288.40721875
transcript.pyannote[748].speaker SPEAKER_00
transcript.pyannote[748].start 4288.84596875
transcript.pyannote[748].end 4296.52409375
transcript.pyannote[749].speaker SPEAKER_00
transcript.pyannote[749].start 4297.53659375
transcript.pyannote[749].end 4303.93221875
transcript.pyannote[750].speaker SPEAKER_00
transcript.pyannote[750].start 4304.40471875
transcript.pyannote[750].end 4313.04471875
transcript.pyannote[751].speaker SPEAKER_00
transcript.pyannote[751].start 4313.48346875
transcript.pyannote[751].end 4318.36034375
transcript.pyannote[752].speaker SPEAKER_00
transcript.pyannote[752].start 4318.95096875
transcript.pyannote[752].end 4320.19971875
transcript.pyannote[753].speaker SPEAKER_00
transcript.pyannote[753].start 4320.85784375
transcript.pyannote[753].end 4326.66284375
transcript.pyannote[754].speaker SPEAKER_14
transcript.pyannote[754].start 4326.66284375
transcript.pyannote[754].end 4330.24034375
transcript.pyannote[755].speaker SPEAKER_00
transcript.pyannote[755].start 4326.69659375
transcript.pyannote[755].end 4326.83159375
transcript.pyannote[756].speaker SPEAKER_00
transcript.pyannote[756].start 4327.11846875
transcript.pyannote[756].end 4327.47284375
transcript.pyannote[757].speaker SPEAKER_00
transcript.pyannote[757].start 4329.05909375
transcript.pyannote[757].end 4330.30784375
transcript.pyannote[758].speaker SPEAKER_00
transcript.pyannote[758].start 4330.83096875
transcript.pyannote[758].end 4349.20784375
transcript.pyannote[759].speaker SPEAKER_00
transcript.pyannote[759].start 4349.62971875
transcript.pyannote[759].end 4373.22096875
transcript.pyannote[760].speaker SPEAKER_00
transcript.pyannote[760].start 4373.81159375
transcript.pyannote[760].end 4377.13596875
transcript.pyannote[761].speaker SPEAKER_00
transcript.pyannote[761].start 4377.94596875
transcript.pyannote[761].end 4379.76846875
transcript.pyannote[762].speaker SPEAKER_00
transcript.pyannote[762].start 4380.27471875
transcript.pyannote[762].end 4381.06784375
transcript.pyannote[763].speaker SPEAKER_00
transcript.pyannote[763].start 4381.43909375
transcript.pyannote[763].end 4383.64971875
transcript.pyannote[764].speaker SPEAKER_14
transcript.pyannote[764].start 4384.76346875
transcript.pyannote[764].end 4393.53846875
transcript.pyannote[765].speaker SPEAKER_00
transcript.pyannote[765].start 4394.02784375
transcript.pyannote[765].end 4396.71096875
transcript.pyannote[766].speaker SPEAKER_00
transcript.pyannote[766].start 4396.87971875
transcript.pyannote[766].end 4403.68034375
transcript.pyannote[767].speaker SPEAKER_14
transcript.pyannote[767].start 4397.84159375
transcript.pyannote[767].end 4399.00596875
transcript.pyannote[768].speaker SPEAKER_11
transcript.pyannote[768].start 4399.00596875
transcript.pyannote[768].end 4399.03971875
transcript.pyannote[769].speaker SPEAKER_11
transcript.pyannote[769].start 4400.11971875
transcript.pyannote[769].end 4400.76096875
transcript.pyannote[770].speaker SPEAKER_11
transcript.pyannote[770].start 4403.68034375
transcript.pyannote[770].end 4404.03471875
transcript.pyannote[771].speaker SPEAKER_14
transcript.pyannote[771].start 4404.03471875
transcript.pyannote[771].end 4404.55784375
transcript.pyannote[772].speaker SPEAKER_00
transcript.pyannote[772].start 4404.55784375
transcript.pyannote[772].end 4410.98721875
transcript.pyannote[773].speaker SPEAKER_14
transcript.pyannote[773].start 4410.98721875
transcript.pyannote[773].end 4411.13909375
transcript.pyannote[774].speaker SPEAKER_00
transcript.pyannote[774].start 4411.13909375
transcript.pyannote[774].end 4414.51409375
transcript.pyannote[775].speaker SPEAKER_14
transcript.pyannote[775].start 4411.15596875
transcript.pyannote[775].end 4411.32471875
transcript.pyannote[776].speaker SPEAKER_14
transcript.pyannote[776].start 4413.29909375
transcript.pyannote[776].end 4413.70409375
transcript.pyannote[777].speaker SPEAKER_14
transcript.pyannote[777].start 4414.51409375
transcript.pyannote[777].end 4416.30284375
transcript.pyannote[778].speaker SPEAKER_00
transcript.pyannote[778].start 4416.38721875
transcript.pyannote[778].end 4418.93534375
transcript.pyannote[779].speaker SPEAKER_00
transcript.pyannote[779].start 4419.35721875
transcript.pyannote[779].end 4421.82096875
transcript.pyannote[780].speaker SPEAKER_14
transcript.pyannote[780].start 4422.37784375
transcript.pyannote[780].end 4423.32284375
transcript.pyannote[781].speaker SPEAKER_14
transcript.pyannote[781].start 4423.45784375
transcript.pyannote[781].end 4428.11534375
transcript.pyannote[782].speaker SPEAKER_00
transcript.pyannote[782].start 4427.87909375
transcript.pyannote[782].end 4428.80721875
transcript.pyannote[783].speaker SPEAKER_00
transcript.pyannote[783].start 4429.33034375
transcript.pyannote[783].end 4432.75596875
transcript.pyannote[784].speaker SPEAKER_00
transcript.pyannote[784].start 4433.07659375
transcript.pyannote[784].end 4435.05096875
transcript.pyannote[785].speaker SPEAKER_00
transcript.pyannote[785].start 4435.10159375
transcript.pyannote[785].end 4436.70471875
transcript.pyannote[786].speaker SPEAKER_00
transcript.pyannote[786].start 4437.54846875
transcript.pyannote[786].end 4440.41721875
transcript.pyannote[787].speaker SPEAKER_00
transcript.pyannote[787].start 4442.17221875
transcript.pyannote[787].end 4445.05784375
transcript.pyannote[788].speaker SPEAKER_16
transcript.pyannote[788].start 4442.64471875
transcript.pyannote[788].end 4442.98221875
transcript.pyannote[789].speaker SPEAKER_01
transcript.pyannote[789].start 4442.98221875
transcript.pyannote[789].end 4443.08346875
transcript.pyannote[790].speaker SPEAKER_00
transcript.pyannote[790].start 4445.61471875
transcript.pyannote[790].end 4449.49596875
transcript.pyannote[791].speaker SPEAKER_00
transcript.pyannote[791].start 4450.18784375
transcript.pyannote[791].end 4452.09471875
transcript.pyannote[792].speaker SPEAKER_00
transcript.pyannote[792].start 4452.97221875
transcript.pyannote[792].end 4453.57971875
transcript.pyannote[793].speaker SPEAKER_00
transcript.pyannote[793].start 4453.83284375
transcript.pyannote[793].end 4457.86596875
transcript.pyannote[794].speaker SPEAKER_00
transcript.pyannote[794].start 4458.72659375
transcript.pyannote[794].end 4460.92034375
transcript.pyannote[795].speaker SPEAKER_00
transcript.pyannote[795].start 4461.89909375
transcript.pyannote[795].end 4465.79721875
transcript.pyannote[796].speaker SPEAKER_00
transcript.pyannote[796].start 4466.55659375
transcript.pyannote[796].end 4471.53471875
transcript.pyannote[797].speaker SPEAKER_16
transcript.pyannote[797].start 4466.64096875
transcript.pyannote[797].end 4466.97846875
transcript.pyannote[798].speaker SPEAKER_01
transcript.pyannote[798].start 4466.97846875
transcript.pyannote[798].end 4466.99534375
transcript.pyannote[799].speaker SPEAKER_00
transcript.pyannote[799].start 4471.99034375
transcript.pyannote[799].end 4478.13284375
transcript.pyannote[800].speaker SPEAKER_00
transcript.pyannote[800].start 4478.70659375
transcript.pyannote[800].end 4483.68471875
transcript.pyannote[801].speaker SPEAKER_00
transcript.pyannote[801].start 4484.41034375
transcript.pyannote[801].end 4485.35534375
transcript.pyannote[802].speaker SPEAKER_14
transcript.pyannote[802].start 4484.47784375
transcript.pyannote[802].end 4508.81159375
transcript.pyannote[803].speaker SPEAKER_00
transcript.pyannote[803].start 4507.78221875
transcript.pyannote[803].end 4508.96346875
transcript.pyannote[804].speaker SPEAKER_14
transcript.pyannote[804].start 4508.96346875
transcript.pyannote[804].end 4509.04784375
transcript.pyannote[805].speaker SPEAKER_00
transcript.pyannote[805].start 4509.04784375
transcript.pyannote[805].end 4509.46971875
transcript.pyannote[806].speaker SPEAKER_14
transcript.pyannote[806].start 4509.46971875
transcript.pyannote[806].end 4512.03471875
transcript.pyannote[807].speaker SPEAKER_00
transcript.pyannote[807].start 4509.55409375
transcript.pyannote[807].end 4510.00971875
transcript.pyannote[808].speaker SPEAKER_14
transcript.pyannote[808].start 4512.28784375
transcript.pyannote[808].end 4513.63784375
transcript.pyannote[809].speaker SPEAKER_00
transcript.pyannote[809].start 4513.45221875
transcript.pyannote[809].end 4513.53659375
transcript.pyannote[810].speaker SPEAKER_14
transcript.pyannote[810].start 4514.71784375
transcript.pyannote[810].end 4516.35471875
transcript.pyannote[811].speaker SPEAKER_23
transcript.pyannote[811].start 4516.70909375
transcript.pyannote[811].end 4540.31721875
transcript.pyannote[812].speaker SPEAKER_00
transcript.pyannote[812].start 4538.88284375
transcript.pyannote[812].end 4552.58534375
transcript.pyannote[813].speaker SPEAKER_00
transcript.pyannote[813].start 4552.66971875
transcript.pyannote[813].end 4558.40721875
transcript.pyannote[814].speaker SPEAKER_00
transcript.pyannote[814].start 4558.94721875
transcript.pyannote[814].end 4561.71471875
transcript.pyannote[815].speaker SPEAKER_16
transcript.pyannote[815].start 4561.71471875
transcript.pyannote[815].end 4561.81596875
transcript.pyannote[816].speaker SPEAKER_14
transcript.pyannote[816].start 4561.81596875
transcript.pyannote[816].end 4568.95409375
transcript.pyannote[817].speaker SPEAKER_00
transcript.pyannote[817].start 4569.05534375
transcript.pyannote[817].end 4576.02471875
transcript.pyannote[818].speaker SPEAKER_00
transcript.pyannote[818].start 4576.49721875
transcript.pyannote[818].end 4581.47534375
transcript.pyannote[819].speaker SPEAKER_00
transcript.pyannote[819].start 4581.88034375
transcript.pyannote[819].end 4584.22596875
transcript.pyannote[820].speaker SPEAKER_00
transcript.pyannote[820].start 4584.54659375
transcript.pyannote[820].end 4586.65596875
transcript.pyannote[821].speaker SPEAKER_00
transcript.pyannote[821].start 4587.29721875
transcript.pyannote[821].end 4590.57096875
transcript.pyannote[822].speaker SPEAKER_00
transcript.pyannote[822].start 4590.80721875
transcript.pyannote[822].end 4593.05159375
transcript.pyannote[823].speaker SPEAKER_00
transcript.pyannote[823].start 4593.20346875
transcript.pyannote[823].end 4595.36346875
transcript.pyannote[824].speaker SPEAKER_14
transcript.pyannote[824].start 4595.36346875
transcript.pyannote[824].end 4596.81471875
transcript.pyannote[825].speaker SPEAKER_00
transcript.pyannote[825].start 4597.18596875
transcript.pyannote[825].end 4600.74659375
transcript.pyannote[826].speaker SPEAKER_00
transcript.pyannote[826].start 4601.59034375
transcript.pyannote[826].end 4604.17221875
transcript.pyannote[827].speaker SPEAKER_00
transcript.pyannote[827].start 4604.67846875
transcript.pyannote[827].end 4606.38284375
transcript.pyannote[828].speaker SPEAKER_00
transcript.pyannote[828].start 4606.73721875
transcript.pyannote[828].end 4609.74096875
transcript.pyannote[829].speaker SPEAKER_00
transcript.pyannote[829].start 4609.85909375
transcript.pyannote[829].end 4610.66909375
transcript.pyannote[830].speaker SPEAKER_00
transcript.pyannote[830].start 4611.42846875
transcript.pyannote[830].end 4612.60971875
transcript.pyannote[831].speaker SPEAKER_00
transcript.pyannote[831].start 4612.84596875
transcript.pyannote[831].end 4613.58846875
transcript.pyannote[832].speaker SPEAKER_23
transcript.pyannote[832].start 4614.11159375
transcript.pyannote[832].end 4624.30409375
transcript.pyannote[833].speaker SPEAKER_00
transcript.pyannote[833].start 4616.60909375
transcript.pyannote[833].end 4618.60034375
transcript.pyannote[834].speaker SPEAKER_00
transcript.pyannote[834].start 4623.32534375
transcript.pyannote[834].end 4636.42034375
transcript.pyannote[835].speaker SPEAKER_23
transcript.pyannote[835].start 4627.40909375
transcript.pyannote[835].end 4627.83096875
transcript.pyannote[836].speaker SPEAKER_23
transcript.pyannote[836].start 4627.84784375
transcript.pyannote[836].end 4627.91534375
transcript.pyannote[837].speaker SPEAKER_00
transcript.pyannote[837].start 4636.90971875
transcript.pyannote[837].end 4643.01846875
transcript.pyannote[838].speaker SPEAKER_16
transcript.pyannote[838].start 4641.85409375
transcript.pyannote[838].end 4643.35596875
transcript.pyannote[839].speaker SPEAKER_00
transcript.pyannote[839].start 4643.35596875
transcript.pyannote[839].end 4644.70596875
transcript.pyannote[840].speaker SPEAKER_00
transcript.pyannote[840].start 4645.29659375
transcript.pyannote[840].end 4645.78596875
transcript.pyannote[841].speaker SPEAKER_00
transcript.pyannote[841].start 4646.25846875
transcript.pyannote[841].end 4647.00096875
transcript.pyannote[842].speaker SPEAKER_00
transcript.pyannote[842].start 4647.52409375
transcript.pyannote[842].end 4652.80596875
transcript.pyannote[843].speaker SPEAKER_00
transcript.pyannote[843].start 4653.09284375
transcript.pyannote[843].end 4654.30784375
transcript.pyannote[844].speaker SPEAKER_00
transcript.pyannote[844].start 4654.57784375
transcript.pyannote[844].end 4656.34971875
transcript.pyannote[845].speaker SPEAKER_00
transcript.pyannote[845].start 4657.31159375
transcript.pyannote[845].end 4658.99909375
transcript.pyannote[846].speaker SPEAKER_00
transcript.pyannote[846].start 4660.06221875
transcript.pyannote[846].end 4664.33159375
transcript.pyannote[847].speaker SPEAKER_00
transcript.pyannote[847].start 4665.09096875
transcript.pyannote[847].end 4667.90909375
transcript.pyannote[848].speaker SPEAKER_00
transcript.pyannote[848].start 4668.88784375
transcript.pyannote[848].end 4669.76534375
transcript.pyannote[849].speaker SPEAKER_00
transcript.pyannote[849].start 4670.59221875
transcript.pyannote[849].end 4671.94221875
transcript.pyannote[850].speaker SPEAKER_23
transcript.pyannote[850].start 4673.51159375
transcript.pyannote[850].end 4681.40909375
transcript.pyannote[851].speaker SPEAKER_00
transcript.pyannote[851].start 4679.11409375
transcript.pyannote[851].end 4679.50221875
transcript.pyannote[852].speaker SPEAKER_00
transcript.pyannote[852].start 4680.78471875
transcript.pyannote[852].end 4683.18096875
transcript.pyannote[853].speaker SPEAKER_00
transcript.pyannote[853].start 4683.61971875
transcript.pyannote[853].end 4684.37909375
transcript.pyannote[854].speaker SPEAKER_00
transcript.pyannote[854].start 4684.51409375
transcript.pyannote[854].end 4690.63971875
transcript.pyannote[855].speaker SPEAKER_23
transcript.pyannote[855].start 4684.80096875
transcript.pyannote[855].end 4686.13409375
transcript.pyannote[856].speaker SPEAKER_00
transcript.pyannote[856].start 4691.68596875
transcript.pyannote[856].end 4704.86534375
transcript.pyannote[857].speaker SPEAKER_00
transcript.pyannote[857].start 4705.27034375
transcript.pyannote[857].end 4706.48534375
transcript.pyannote[858].speaker SPEAKER_00
transcript.pyannote[858].start 4707.85221875
transcript.pyannote[858].end 4711.76721875
transcript.pyannote[859].speaker SPEAKER_23
transcript.pyannote[859].start 4709.03346875
transcript.pyannote[859].end 4709.06721875
transcript.pyannote[860].speaker SPEAKER_23
transcript.pyannote[860].start 4709.08409375
transcript.pyannote[860].end 4709.11784375
transcript.pyannote[861].speaker SPEAKER_23
transcript.pyannote[861].start 4712.42534375
transcript.pyannote[861].end 4723.78221875
transcript.pyannote[862].speaker SPEAKER_00
transcript.pyannote[862].start 4721.41971875
transcript.pyannote[862].end 4721.89221875
transcript.pyannote[863].speaker SPEAKER_00
transcript.pyannote[863].start 4723.71471875
transcript.pyannote[863].end 4729.55346875
transcript.pyannote[864].speaker SPEAKER_00
transcript.pyannote[864].start 4730.61659375
transcript.pyannote[864].end 4733.99159375
transcript.pyannote[865].speaker SPEAKER_00
transcript.pyannote[865].start 4734.16034375
transcript.pyannote[865].end 4735.78034375
transcript.pyannote[866].speaker SPEAKER_00
transcript.pyannote[866].start 4736.26971875
transcript.pyannote[866].end 4736.45534375
transcript.pyannote[867].speaker SPEAKER_00
transcript.pyannote[867].start 4736.53971875
transcript.pyannote[867].end 4739.35784375
transcript.pyannote[868].speaker SPEAKER_00
transcript.pyannote[868].start 4739.86409375
transcript.pyannote[868].end 4740.15096875
transcript.pyannote[869].speaker SPEAKER_00
transcript.pyannote[869].start 4740.85971875
transcript.pyannote[869].end 4742.93534375
transcript.pyannote[870].speaker SPEAKER_00
transcript.pyannote[870].start 4743.81284375
transcript.pyannote[870].end 4744.53846875
transcript.pyannote[871].speaker SPEAKER_00
transcript.pyannote[871].start 4745.88846875
transcript.pyannote[871].end 4746.90096875
transcript.pyannote[872].speaker SPEAKER_00
transcript.pyannote[872].start 4748.08221875
transcript.pyannote[872].end 4749.07784375
transcript.pyannote[873].speaker SPEAKER_00
transcript.pyannote[873].start 4749.56721875
transcript.pyannote[873].end 4750.27596875
transcript.pyannote[874].speaker SPEAKER_00
transcript.pyannote[874].start 4750.86659375
transcript.pyannote[874].end 4753.00971875
transcript.pyannote[875].speaker SPEAKER_00
transcript.pyannote[875].start 4753.44846875
transcript.pyannote[875].end 4760.23221875
transcript.pyannote[876].speaker SPEAKER_00
transcript.pyannote[876].start 4760.94096875
transcript.pyannote[876].end 4768.65284375
transcript.pyannote[877].speaker SPEAKER_00
transcript.pyannote[877].start 4768.99034375
transcript.pyannote[877].end 4771.26846875
transcript.pyannote[878].speaker SPEAKER_00
transcript.pyannote[878].start 4771.53846875
transcript.pyannote[878].end 4774.25534375
transcript.pyannote[879].speaker SPEAKER_00
transcript.pyannote[879].start 4775.03159375
transcript.pyannote[879].end 4776.83721875
transcript.pyannote[880].speaker SPEAKER_00
transcript.pyannote[880].start 4777.39409375
transcript.pyannote[880].end 4778.15346875
transcript.pyannote[881].speaker SPEAKER_00
transcript.pyannote[881].start 4778.42346875
transcript.pyannote[881].end 4780.95471875
transcript.pyannote[882].speaker SPEAKER_00
transcript.pyannote[882].start 4781.39346875
transcript.pyannote[882].end 4781.83221875
transcript.pyannote[883].speaker SPEAKER_14
transcript.pyannote[883].start 4781.83221875
transcript.pyannote[883].end 4783.82346875
transcript.pyannote[884].speaker SPEAKER_00
transcript.pyannote[884].start 4783.82346875
transcript.pyannote[884].end 4787.04659375
transcript.pyannote[885].speaker SPEAKER_00
transcript.pyannote[885].start 4787.94096875
transcript.pyannote[885].end 4794.35346875
transcript.pyannote[886].speaker SPEAKER_00
transcript.pyannote[886].start 4794.58971875
transcript.pyannote[886].end 4802.03159375
transcript.pyannote[887].speaker SPEAKER_00
transcript.pyannote[887].start 4802.50409375
transcript.pyannote[887].end 4806.60471875
transcript.pyannote[888].speaker SPEAKER_00
transcript.pyannote[888].start 4807.00971875
transcript.pyannote[888].end 4808.34284375
transcript.pyannote[889].speaker SPEAKER_00
transcript.pyannote[889].start 4808.74784375
transcript.pyannote[889].end 4815.85221875
transcript.pyannote[890].speaker SPEAKER_00
transcript.pyannote[890].start 4816.07159375
transcript.pyannote[890].end 4823.04096875
transcript.pyannote[891].speaker SPEAKER_00
transcript.pyannote[891].start 4823.44596875
transcript.pyannote[891].end 4827.83346875
transcript.pyannote[892].speaker SPEAKER_00
transcript.pyannote[892].start 4828.22159375
transcript.pyannote[892].end 4828.47471875
transcript.pyannote[893].speaker SPEAKER_14
transcript.pyannote[893].start 4828.47471875
transcript.pyannote[893].end 4839.51096875
transcript.pyannote[894].speaker SPEAKER_00
transcript.pyannote[894].start 4833.67221875
transcript.pyannote[894].end 4834.33034375
transcript.pyannote[895].speaker SPEAKER_00
transcript.pyannote[895].start 4835.44409375
transcript.pyannote[895].end 4837.26659375
transcript.pyannote[896].speaker SPEAKER_00
transcript.pyannote[896].start 4839.12284375
transcript.pyannote[896].end 4848.94409375
transcript.pyannote[897].speaker SPEAKER_00
transcript.pyannote[897].start 4849.38284375
transcript.pyannote[897].end 4856.03159375
transcript.pyannote[898].speaker SPEAKER_00
transcript.pyannote[898].start 4856.28471875
transcript.pyannote[898].end 4864.80659375
transcript.pyannote[899].speaker SPEAKER_14
transcript.pyannote[899].start 4865.38034375
transcript.pyannote[899].end 4870.99971875
transcript.pyannote[900].speaker SPEAKER_00
transcript.pyannote[900].start 4869.49784375
transcript.pyannote[900].end 4871.92784375
transcript.pyannote[901].speaker SPEAKER_00
transcript.pyannote[901].start 4871.97846875
transcript.pyannote[901].end 4872.34971875
transcript.pyannote[902].speaker SPEAKER_00
transcript.pyannote[902].start 4872.87284375
transcript.pyannote[902].end 4882.62659375
transcript.pyannote[903].speaker SPEAKER_00
transcript.pyannote[903].start 4883.36909375
transcript.pyannote[903].end 4886.82846875
transcript.pyannote[904].speaker SPEAKER_00
transcript.pyannote[904].start 4888.07721875
transcript.pyannote[904].end 4890.43971875
transcript.pyannote[905].speaker SPEAKER_00
transcript.pyannote[905].start 4892.11034375
transcript.pyannote[905].end 4892.56596875
transcript.pyannote[906].speaker SPEAKER_00
transcript.pyannote[906].start 4892.76846875
transcript.pyannote[906].end 4893.96659375
transcript.pyannote[907].speaker SPEAKER_00
transcript.pyannote[907].start 4894.21971875
transcript.pyannote[907].end 4895.73846875
transcript.pyannote[908].speaker SPEAKER_00
transcript.pyannote[908].start 4895.92409375
transcript.pyannote[908].end 4897.03784375
transcript.pyannote[909].speaker SPEAKER_00
transcript.pyannote[909].start 4897.61159375
transcript.pyannote[909].end 4908.66471875
transcript.pyannote[910].speaker SPEAKER_00
transcript.pyannote[910].start 4909.30596875
transcript.pyannote[910].end 4921.30409375
transcript.pyannote[911].speaker SPEAKER_14
transcript.pyannote[911].start 4921.72596875
transcript.pyannote[911].end 4929.03284375
transcript.pyannote[912].speaker SPEAKER_00
transcript.pyannote[912].start 4929.65721875
transcript.pyannote[912].end 4932.54284375
transcript.pyannote[913].speaker SPEAKER_00
transcript.pyannote[913].start 4933.04909375
transcript.pyannote[913].end 4938.21284375
transcript.pyannote[914].speaker SPEAKER_00
transcript.pyannote[914].start 4938.36471875
transcript.pyannote[914].end 4947.57846875
transcript.pyannote[915].speaker SPEAKER_14
transcript.pyannote[915].start 4938.66846875
transcript.pyannote[915].end 4939.46159375
transcript.pyannote[916].speaker SPEAKER_14
transcript.pyannote[916].start 4947.20721875
transcript.pyannote[916].end 4947.54471875
transcript.pyannote[917].speaker SPEAKER_14
transcript.pyannote[917].start 4947.57846875
transcript.pyannote[917].end 4949.31659375
transcript.pyannote[918].speaker SPEAKER_20
transcript.pyannote[918].start 4950.05909375
transcript.pyannote[918].end 4954.14284375
transcript.pyannote[919].speaker SPEAKER_04
transcript.pyannote[919].start 4961.53409375
transcript.pyannote[919].end 4963.45784375
transcript.pyannote[920].speaker SPEAKER_04
transcript.pyannote[920].start 4964.41971875
transcript.pyannote[920].end 4965.17909375
transcript.pyannote[921].speaker SPEAKER_04
transcript.pyannote[921].start 4969.07721875
transcript.pyannote[921].end 4969.65096875
transcript.pyannote[922].speaker SPEAKER_04
transcript.pyannote[922].start 4970.10659375
transcript.pyannote[922].end 4970.74784375
transcript.pyannote[923].speaker SPEAKER_04
transcript.pyannote[923].start 4970.83221875
transcript.pyannote[923].end 4971.91221875
transcript.pyannote[924].speaker SPEAKER_04
transcript.pyannote[924].start 4971.96284375
transcript.pyannote[924].end 4971.97971875
transcript.pyannote[925].speaker SPEAKER_04
transcript.pyannote[925].start 4972.30034375
transcript.pyannote[925].end 4990.28909375
transcript.pyannote[926].speaker SPEAKER_04
transcript.pyannote[926].start 4991.40284375
transcript.pyannote[926].end 4991.97659375
transcript.pyannote[927].speaker SPEAKER_04
transcript.pyannote[927].start 4992.80346875
transcript.pyannote[927].end 4996.51596875
transcript.pyannote[928].speaker SPEAKER_04
transcript.pyannote[928].start 4997.29221875
transcript.pyannote[928].end 5000.86971875
transcript.pyannote[929].speaker SPEAKER_14
transcript.pyannote[929].start 5002.91159375
transcript.pyannote[929].end 5005.13909375
transcript.pyannote[930].speaker SPEAKER_04
transcript.pyannote[930].start 5004.26159375
transcript.pyannote[930].end 5006.06721875
transcript.pyannote[931].speaker SPEAKER_03
transcript.pyannote[931].start 5005.13909375
transcript.pyannote[931].end 5005.52721875
transcript.pyannote[932].speaker SPEAKER_03
transcript.pyannote[932].start 5007.16409375
transcript.pyannote[932].end 5007.67034375
transcript.pyannote[933].speaker SPEAKER_03
transcript.pyannote[933].start 5008.46346875
transcript.pyannote[933].end 5009.66159375
transcript.pyannote[934].speaker SPEAKER_03
transcript.pyannote[934].start 5009.98221875
transcript.pyannote[934].end 5013.37409375
transcript.pyannote[935].speaker SPEAKER_03
transcript.pyannote[935].start 5013.49221875
transcript.pyannote[935].end 5017.13721875
transcript.pyannote[936].speaker SPEAKER_17
transcript.pyannote[936].start 5015.09534375
transcript.pyannote[936].end 5015.31471875
transcript.pyannote[937].speaker SPEAKER_03
transcript.pyannote[937].start 5017.69409375
transcript.pyannote[937].end 5022.16596875
transcript.pyannote[938].speaker SPEAKER_04
transcript.pyannote[938].start 5019.80346875
transcript.pyannote[938].end 5020.39409375
transcript.pyannote[939].speaker SPEAKER_17
transcript.pyannote[939].start 5020.39409375
transcript.pyannote[939].end 5020.84971875
transcript.pyannote[940].speaker SPEAKER_04
transcript.pyannote[940].start 5020.84971875
transcript.pyannote[940].end 5023.41471875
transcript.pyannote[941].speaker SPEAKER_03
transcript.pyannote[941].start 5022.26721875
transcript.pyannote[941].end 5030.48534375
transcript.pyannote[942].speaker SPEAKER_04
transcript.pyannote[942].start 5028.79784375
transcript.pyannote[942].end 5031.34596875
transcript.pyannote[943].speaker SPEAKER_04
transcript.pyannote[943].start 5031.64971875
transcript.pyannote[943].end 5032.57784375
transcript.pyannote[944].speaker SPEAKER_04
transcript.pyannote[944].start 5032.96596875
transcript.pyannote[944].end 5039.76659375
transcript.pyannote[945].speaker SPEAKER_03
transcript.pyannote[945].start 5032.99971875
transcript.pyannote[945].end 5033.65784375
transcript.pyannote[946].speaker SPEAKER_03
transcript.pyannote[946].start 5035.64909375
transcript.pyannote[946].end 5036.13846875
transcript.pyannote[947].speaker SPEAKER_04
transcript.pyannote[947].start 5041.30221875
transcript.pyannote[947].end 5042.56784375
transcript.pyannote[948].speaker SPEAKER_04
transcript.pyannote[948].start 5043.58034375
transcript.pyannote[948].end 5044.96409375
transcript.pyannote[949].speaker SPEAKER_03
transcript.pyannote[949].start 5044.96409375
transcript.pyannote[949].end 5052.03471875
transcript.pyannote[950].speaker SPEAKER_04
transcript.pyannote[950].start 5050.63409375
transcript.pyannote[950].end 5051.19096875
transcript.pyannote[951].speaker SPEAKER_04
transcript.pyannote[951].start 5052.03471875
transcript.pyannote[951].end 5052.11909375
transcript.pyannote[952].speaker SPEAKER_03
transcript.pyannote[952].start 5052.11909375
transcript.pyannote[952].end 5052.15284375
transcript.pyannote[953].speaker SPEAKER_04
transcript.pyannote[953].start 5052.15284375
transcript.pyannote[953].end 5052.25409375
transcript.pyannote[954].speaker SPEAKER_03
transcript.pyannote[954].start 5052.64221875
transcript.pyannote[954].end 5053.03034375
transcript.pyannote[955].speaker SPEAKER_04
transcript.pyannote[955].start 5053.03034375
transcript.pyannote[955].end 5053.92471875
transcript.pyannote[956].speaker SPEAKER_03
transcript.pyannote[956].start 5054.36346875
transcript.pyannote[956].end 5054.38034375
transcript.pyannote[957].speaker SPEAKER_04
transcript.pyannote[957].start 5054.38034375
transcript.pyannote[957].end 5055.46034375
transcript.pyannote[958].speaker SPEAKER_04
transcript.pyannote[958].start 5056.21971875
transcript.pyannote[958].end 5056.52346875
transcript.pyannote[959].speaker SPEAKER_04
transcript.pyannote[959].start 5056.97909375
transcript.pyannote[959].end 5060.86034375
transcript.pyannote[960].speaker SPEAKER_04
transcript.pyannote[960].start 5061.72096875
transcript.pyannote[960].end 5097.27659375
transcript.pyannote[961].speaker SPEAKER_04
transcript.pyannote[961].start 5097.68159375
transcript.pyannote[961].end 5107.80659375
transcript.pyannote[962].speaker SPEAKER_00
transcript.pyannote[962].start 5103.19971875
transcript.pyannote[962].end 5104.22909375
transcript.pyannote[963].speaker SPEAKER_04
transcript.pyannote[963].start 5108.31284375
transcript.pyannote[963].end 5111.29971875
transcript.pyannote[964].speaker SPEAKER_03
transcript.pyannote[964].start 5111.29971875
transcript.pyannote[964].end 5111.46846875
transcript.pyannote[965].speaker SPEAKER_04
transcript.pyannote[965].start 5111.46846875
transcript.pyannote[965].end 5113.20659375
transcript.pyannote[966].speaker SPEAKER_03
transcript.pyannote[966].start 5111.70471875
transcript.pyannote[966].end 5111.97471875
transcript.pyannote[967].speaker SPEAKER_03
transcript.pyannote[967].start 5113.20659375
transcript.pyannote[967].end 5120.85096875
transcript.pyannote[968].speaker SPEAKER_04
transcript.pyannote[968].start 5114.08409375
transcript.pyannote[968].end 5114.30346875
transcript.pyannote[969].speaker SPEAKER_04
transcript.pyannote[969].start 5119.18034375
transcript.pyannote[969].end 5127.46596875
transcript.pyannote[970].speaker SPEAKER_03
transcript.pyannote[970].start 5127.46596875
transcript.pyannote[970].end 5131.33034375
transcript.pyannote[971].speaker SPEAKER_04
transcript.pyannote[971].start 5128.14096875
transcript.pyannote[971].end 5128.64721875
transcript.pyannote[972].speaker SPEAKER_04
transcript.pyannote[972].start 5129.35596875
transcript.pyannote[972].end 5131.38096875
transcript.pyannote[973].speaker SPEAKER_03
transcript.pyannote[973].start 5131.38096875
transcript.pyannote[973].end 5131.65096875
transcript.pyannote[974].speaker SPEAKER_04
transcript.pyannote[974].start 5131.65096875
transcript.pyannote[974].end 5131.66784375
transcript.pyannote[975].speaker SPEAKER_03
transcript.pyannote[975].start 5131.66784375
transcript.pyannote[975].end 5131.73534375
transcript.pyannote[976].speaker SPEAKER_03
transcript.pyannote[976].start 5132.24159375
transcript.pyannote[976].end 5132.29221875
transcript.pyannote[977].speaker SPEAKER_04
transcript.pyannote[977].start 5132.29221875
transcript.pyannote[977].end 5133.91221875
transcript.pyannote[978].speaker SPEAKER_03
transcript.pyannote[978].start 5133.33846875
transcript.pyannote[978].end 5133.35534375
transcript.pyannote[979].speaker SPEAKER_14
transcript.pyannote[979].start 5133.35534375
transcript.pyannote[979].end 5133.74346875
transcript.pyannote[980].speaker SPEAKER_14
transcript.pyannote[980].start 5133.91221875
transcript.pyannote[980].end 5134.21596875
transcript.pyannote[981].speaker SPEAKER_04
transcript.pyannote[981].start 5135.54909375
transcript.pyannote[981].end 5135.98784375
transcript.pyannote[982].speaker SPEAKER_04
transcript.pyannote[982].start 5136.25784375
transcript.pyannote[982].end 5136.83159375
transcript.pyannote[983].speaker SPEAKER_04
transcript.pyannote[983].start 5137.20284375
transcript.pyannote[983].end 5147.15909375
transcript.pyannote[984].speaker SPEAKER_14
transcript.pyannote[984].start 5147.81721875
transcript.pyannote[984].end 5148.67784375
transcript.pyannote[985].speaker SPEAKER_04
transcript.pyannote[985].start 5149.06596875
transcript.pyannote[985].end 5152.98096875
transcript.pyannote[986].speaker SPEAKER_14
transcript.pyannote[986].start 5151.86721875
transcript.pyannote[986].end 5152.23846875
transcript.pyannote[987].speaker SPEAKER_14
transcript.pyannote[987].start 5153.26784375
transcript.pyannote[987].end 5153.53784375
transcript.pyannote[988].speaker SPEAKER_04
transcript.pyannote[988].start 5153.36909375
transcript.pyannote[988].end 5155.41096875
transcript.pyannote[989].speaker SPEAKER_11
transcript.pyannote[989].start 5153.53784375
transcript.pyannote[989].end 5153.62221875
transcript.pyannote[990].speaker SPEAKER_04
transcript.pyannote[990].start 5155.86659375
transcript.pyannote[990].end 5157.52034375
transcript.pyannote[991].speaker SPEAKER_04
transcript.pyannote[991].start 5157.58784375
transcript.pyannote[991].end 5166.46409375
transcript.pyannote[992].speaker SPEAKER_11
transcript.pyannote[992].start 5159.20784375
transcript.pyannote[992].end 5159.42721875
transcript.pyannote[993].speaker SPEAKER_04
transcript.pyannote[993].start 5166.98721875
transcript.pyannote[993].end 5167.91534375
transcript.pyannote[994].speaker SPEAKER_14
transcript.pyannote[994].start 5168.20221875
transcript.pyannote[994].end 5168.38784375
transcript.pyannote[995].speaker SPEAKER_14
transcript.pyannote[995].start 5168.64096875
transcript.pyannote[995].end 5173.85534375
transcript.pyannote[996].speaker SPEAKER_04
transcript.pyannote[996].start 5172.03284375
transcript.pyannote[996].end 5174.98596875
transcript.pyannote[997].speaker SPEAKER_14
transcript.pyannote[997].start 5174.12534375
transcript.pyannote[997].end 5177.53409375
transcript.pyannote[998].speaker SPEAKER_04
transcript.pyannote[998].start 5177.53409375
transcript.pyannote[998].end 5186.17409375
transcript.pyannote[999].speaker SPEAKER_04
transcript.pyannote[999].start 5186.47784375
transcript.pyannote[999].end 5191.35471875
transcript.pyannote[1000].speaker SPEAKER_04
transcript.pyannote[1000].start 5191.94534375
transcript.pyannote[1000].end 5193.90284375
transcript.pyannote[1001].speaker SPEAKER_22
transcript.pyannote[1001].start 5194.47659375
transcript.pyannote[1001].end 5195.26971875
transcript.pyannote[1002].speaker SPEAKER_04
transcript.pyannote[1002].start 5194.91534375
transcript.pyannote[1002].end 5198.49284375
transcript.pyannote[1003].speaker SPEAKER_03
transcript.pyannote[1003].start 5198.49284375
transcript.pyannote[1003].end 5198.52659375
transcript.pyannote[1004].speaker SPEAKER_03
transcript.pyannote[1004].start 5199.21846875
transcript.pyannote[1004].end 5200.61909375
transcript.pyannote[1005].speaker SPEAKER_03
transcript.pyannote[1005].start 5200.95659375
transcript.pyannote[1005].end 5217.57846875
transcript.pyannote[1006].speaker SPEAKER_04
transcript.pyannote[1006].start 5217.57846875
transcript.pyannote[1006].end 5222.60721875
transcript.pyannote[1007].speaker SPEAKER_04
transcript.pyannote[1007].start 5222.97846875
transcript.pyannote[1007].end 5223.82221875
transcript.pyannote[1008].speaker SPEAKER_04
transcript.pyannote[1008].start 5224.07534375
transcript.pyannote[1008].end 5242.95846875
transcript.pyannote[1009].speaker SPEAKER_04
transcript.pyannote[1009].start 5243.81909375
transcript.pyannote[1009].end 5267.30909375
transcript.pyannote[1010].speaker SPEAKER_16
transcript.pyannote[1010].start 5252.18909375
transcript.pyannote[1010].end 5252.96534375
transcript.pyannote[1011].speaker SPEAKER_00
transcript.pyannote[1011].start 5252.96534375
transcript.pyannote[1011].end 5253.21846875
transcript.pyannote[1012].speaker SPEAKER_08
transcript.pyannote[1012].start 5259.76596875
transcript.pyannote[1012].end 5260.15409375
transcript.pyannote[1013].speaker SPEAKER_14
transcript.pyannote[1013].start 5268.30471875
transcript.pyannote[1013].end 5272.84409375
transcript.pyannote[1014].speaker SPEAKER_04
transcript.pyannote[1014].start 5271.44346875
transcript.pyannote[1014].end 5282.07471875
transcript.pyannote[1015].speaker SPEAKER_04
transcript.pyannote[1015].start 5282.14221875
transcript.pyannote[1015].end 5282.15909375
transcript.pyannote[1016].speaker SPEAKER_16
transcript.pyannote[1016].start 5282.15909375
transcript.pyannote[1016].end 5282.44596875
transcript.pyannote[1017].speaker SPEAKER_04
transcript.pyannote[1017].start 5282.44596875
transcript.pyannote[1017].end 5287.89659375
transcript.pyannote[1018].speaker SPEAKER_16
transcript.pyannote[1018].start 5282.47971875
transcript.pyannote[1018].end 5282.51346875
transcript.pyannote[1019].speaker SPEAKER_14
transcript.pyannote[1019].start 5288.99346875
transcript.pyannote[1019].end 5298.00471875
transcript.pyannote[1020].speaker SPEAKER_04
transcript.pyannote[1020].start 5295.30471875
transcript.pyannote[1020].end 5303.57346875
transcript.pyannote[1021].speaker SPEAKER_14
transcript.pyannote[1021].start 5299.05096875
transcript.pyannote[1021].end 5299.33784375
transcript.pyannote[1022].speaker SPEAKER_11
transcript.pyannote[1022].start 5299.33784375
transcript.pyannote[1022].end 5299.35471875
transcript.pyannote[1023].speaker SPEAKER_14
transcript.pyannote[1023].start 5299.35471875
transcript.pyannote[1023].end 5299.37159375
transcript.pyannote[1024].speaker SPEAKER_14
transcript.pyannote[1024].start 5299.94534375
transcript.pyannote[1024].end 5300.97471875
transcript.pyannote[1025].speaker SPEAKER_11
transcript.pyannote[1025].start 5300.97471875
transcript.pyannote[1025].end 5301.00846875
transcript.pyannote[1026].speaker SPEAKER_11
transcript.pyannote[1026].start 5301.24471875
transcript.pyannote[1026].end 5301.31221875
transcript.pyannote[1027].speaker SPEAKER_14
transcript.pyannote[1027].start 5301.31221875
transcript.pyannote[1027].end 5301.97034375
transcript.pyannote[1028].speaker SPEAKER_11
transcript.pyannote[1028].start 5301.97034375
transcript.pyannote[1028].end 5304.70409375
transcript.pyannote[1029].speaker SPEAKER_04
transcript.pyannote[1029].start 5303.87721875
transcript.pyannote[1029].end 5310.42471875
transcript.pyannote[1030].speaker SPEAKER_11
transcript.pyannote[1030].start 5305.37909375
transcript.pyannote[1030].end 5306.17221875
transcript.pyannote[1031].speaker SPEAKER_03
transcript.pyannote[1031].start 5306.17221875
transcript.pyannote[1031].end 5308.66971875
transcript.pyannote[1032].speaker SPEAKER_03
transcript.pyannote[1032].start 5310.40784375
transcript.pyannote[1032].end 5310.74534375
transcript.pyannote[1033].speaker SPEAKER_04
transcript.pyannote[1033].start 5310.74534375
transcript.pyannote[1033].end 5319.14909375
transcript.pyannote[1034].speaker SPEAKER_14
transcript.pyannote[1034].start 5319.41909375
transcript.pyannote[1034].end 5324.19471875
transcript.pyannote[1035].speaker SPEAKER_04
transcript.pyannote[1035].start 5319.67221875
transcript.pyannote[1035].end 5320.21221875
transcript.pyannote[1036].speaker SPEAKER_04
transcript.pyannote[1036].start 5323.40159375
transcript.pyannote[1036].end 5328.63284375
transcript.pyannote[1037].speaker SPEAKER_14
transcript.pyannote[1037].start 5325.93284375
transcript.pyannote[1037].end 5334.43784375
transcript.pyannote[1038].speaker SPEAKER_04
transcript.pyannote[1038].start 5330.16846875
transcript.pyannote[1038].end 5330.74221875
transcript.pyannote[1039].speaker SPEAKER_04
transcript.pyannote[1039].start 5331.83909375
transcript.pyannote[1039].end 5336.86784375
transcript.pyannote[1040].speaker SPEAKER_04
transcript.pyannote[1040].start 5337.20534375
transcript.pyannote[1040].end 5352.24096875
transcript.pyannote[1041].speaker SPEAKER_14
transcript.pyannote[1041].start 5337.77909375
transcript.pyannote[1041].end 5337.79596875
transcript.pyannote[1042].speaker SPEAKER_16
transcript.pyannote[1042].start 5337.79596875
transcript.pyannote[1042].end 5337.81284375
transcript.pyannote[1043].speaker SPEAKER_14
transcript.pyannote[1043].start 5337.81284375
transcript.pyannote[1043].end 5338.01534375
transcript.pyannote[1044].speaker SPEAKER_14
transcript.pyannote[1044].start 5338.03221875
transcript.pyannote[1044].end 5338.74096875
transcript.pyannote[1045].speaker SPEAKER_14
transcript.pyannote[1045].start 5352.73034375
transcript.pyannote[1045].end 5353.01721875
transcript.pyannote[1046].speaker SPEAKER_04
transcript.pyannote[1046].start 5353.01721875
transcript.pyannote[1046].end 5355.98721875
transcript.pyannote[1047].speaker SPEAKER_14
transcript.pyannote[1047].start 5354.11409375
transcript.pyannote[1047].end 5354.60346875
transcript.pyannote[1048].speaker SPEAKER_14
transcript.pyannote[1048].start 5355.49784375
transcript.pyannote[1048].end 5358.09659375
transcript.pyannote[1049].speaker SPEAKER_04
transcript.pyannote[1049].start 5357.64096875
transcript.pyannote[1049].end 5358.63659375
transcript.pyannote[1050].speaker SPEAKER_14
transcript.pyannote[1050].start 5358.99096875
transcript.pyannote[1050].end 5360.69534375
transcript.pyannote[1051].speaker SPEAKER_14
transcript.pyannote[1051].start 5360.72909375
transcript.pyannote[1051].end 5364.22221875
transcript.pyannote[1052].speaker SPEAKER_04
transcript.pyannote[1052].start 5362.92284375
transcript.pyannote[1052].end 5372.17034375
transcript.pyannote[1053].speaker SPEAKER_14
transcript.pyannote[1053].start 5372.77784375
transcript.pyannote[1053].end 5372.89596875
transcript.pyannote[1054].speaker SPEAKER_04
transcript.pyannote[1054].start 5372.89596875
transcript.pyannote[1054].end 5375.02221875
transcript.pyannote[1055].speaker SPEAKER_14
transcript.pyannote[1055].start 5372.91284375
transcript.pyannote[1055].end 5377.06409375
transcript.pyannote[1056].speaker SPEAKER_04
transcript.pyannote[1056].start 5376.18659375
transcript.pyannote[1056].end 5376.62534375
transcript.pyannote[1057].speaker SPEAKER_04
transcript.pyannote[1057].start 5377.41846875
transcript.pyannote[1057].end 5402.08971875
transcript.pyannote[1058].speaker SPEAKER_14
transcript.pyannote[1058].start 5381.87346875
transcript.pyannote[1058].end 5382.22784375
transcript.pyannote[1059].speaker SPEAKER_16
transcript.pyannote[1059].start 5392.43721875
transcript.pyannote[1059].end 5393.68596875
transcript.pyannote[1060].speaker SPEAKER_00
transcript.pyannote[1060].start 5393.68596875
transcript.pyannote[1060].end 5393.78721875
transcript.pyannote[1061].speaker SPEAKER_04
transcript.pyannote[1061].start 5402.39346875
transcript.pyannote[1061].end 5411.67471875
transcript.pyannote[1062].speaker SPEAKER_04
transcript.pyannote[1062].start 5412.56909375
transcript.pyannote[1062].end 5428.06034375
transcript.pyannote[1063].speaker SPEAKER_04
transcript.pyannote[1063].start 5428.95471875
transcript.pyannote[1063].end 5437.03784375
transcript.pyannote[1064].speaker SPEAKER_04
transcript.pyannote[1064].start 5437.83096875
transcript.pyannote[1064].end 5470.93971875
transcript.pyannote[1065].speaker SPEAKER_04
transcript.pyannote[1065].start 5471.53034375
transcript.pyannote[1065].end 5484.27096875
transcript.pyannote[1066].speaker SPEAKER_04
transcript.pyannote[1066].start 5484.74346875
transcript.pyannote[1066].end 5487.51096875
transcript.pyannote[1067].speaker SPEAKER_04
transcript.pyannote[1067].start 5487.67971875
transcript.pyannote[1067].end 5490.61596875
transcript.pyannote[1068].speaker SPEAKER_14
transcript.pyannote[1068].start 5491.42596875
transcript.pyannote[1068].end 5506.10721875
transcript.pyannote[1069].speaker SPEAKER_04
transcript.pyannote[1069].start 5502.93471875
transcript.pyannote[1069].end 5504.62221875
transcript.pyannote[1070].speaker SPEAKER_04
transcript.pyannote[1070].start 5506.10721875
transcript.pyannote[1070].end 5512.14846875
transcript.pyannote[1071].speaker SPEAKER_14
transcript.pyannote[1071].start 5506.17471875
transcript.pyannote[1071].end 5506.27596875
transcript.pyannote[1072].speaker SPEAKER_14
transcript.pyannote[1072].start 5512.14846875
transcript.pyannote[1072].end 5512.53659375
transcript.pyannote[1073].speaker SPEAKER_04
transcript.pyannote[1073].start 5512.21596875
transcript.pyannote[1073].end 5512.62096875
transcript.pyannote[1074].speaker SPEAKER_14
transcript.pyannote[1074].start 5512.62096875
transcript.pyannote[1074].end 5528.75346875
transcript.pyannote[1075].speaker SPEAKER_04
transcript.pyannote[1075].start 5522.23971875
transcript.pyannote[1075].end 5523.42096875
transcript.pyannote[1076].speaker SPEAKER_11
transcript.pyannote[1076].start 5523.42096875
transcript.pyannote[1076].end 5523.45471875
transcript.pyannote[1077].speaker SPEAKER_04
transcript.pyannote[1077].start 5524.48409375
transcript.pyannote[1077].end 5531.06534375
transcript.pyannote[1078].speaker SPEAKER_14
transcript.pyannote[1078].start 5529.90096875
transcript.pyannote[1078].end 5537.41034375
transcript.pyannote[1079].speaker SPEAKER_04
transcript.pyannote[1079].start 5536.85346875
transcript.pyannote[1079].end 5542.45596875
transcript.pyannote[1080].speaker SPEAKER_14
transcript.pyannote[1080].start 5542.45596875
transcript.pyannote[1080].end 5542.79346875
transcript.pyannote[1081].speaker SPEAKER_14
transcript.pyannote[1081].start 5543.50221875
transcript.pyannote[1081].end 5577.16784375
transcript.pyannote[1082].speaker SPEAKER_11
transcript.pyannote[1082].start 5552.58096875
transcript.pyannote[1082].end 5552.61471875
transcript.pyannote[1083].speaker SPEAKER_17
transcript.pyannote[1083].start 5552.61471875
transcript.pyannote[1083].end 5552.88471875
transcript.pyannote[1084].speaker SPEAKER_17
transcript.pyannote[1084].start 5556.04034375
transcript.pyannote[1084].end 5556.05721875
transcript.pyannote[1085].speaker SPEAKER_04
transcript.pyannote[1085].start 5556.05721875
transcript.pyannote[1085].end 5556.59721875
transcript.pyannote[1086].speaker SPEAKER_04
transcript.pyannote[1086].start 5560.05659375
transcript.pyannote[1086].end 5562.33471875
transcript.pyannote[1087].speaker SPEAKER_00
transcript.pyannote[1087].start 5562.33471875
transcript.pyannote[1087].end 5562.35159375
transcript.pyannote[1088].speaker SPEAKER_00
transcript.pyannote[1088].start 5565.74346875
transcript.pyannote[1088].end 5565.76034375
transcript.pyannote[1089].speaker SPEAKER_16
transcript.pyannote[1089].start 5565.76034375
transcript.pyannote[1089].end 5565.96284375
transcript.pyannote[1090].speaker SPEAKER_00
transcript.pyannote[1090].start 5565.96284375
transcript.pyannote[1090].end 5566.14846875
transcript.pyannote[1091].speaker SPEAKER_04
transcript.pyannote[1091].start 5572.17284375
transcript.pyannote[1091].end 5574.80534375
transcript.pyannote[1092].speaker SPEAKER_04
transcript.pyannote[1092].start 5574.99096875
transcript.pyannote[1092].end 5579.32784375
transcript.pyannote[1093].speaker SPEAKER_14
transcript.pyannote[1093].start 5578.46721875
transcript.pyannote[1093].end 5581.58909375
transcript.pyannote[1094].speaker SPEAKER_04
transcript.pyannote[1094].start 5579.86784375
transcript.pyannote[1094].end 5590.43159375
transcript.pyannote[1095].speaker SPEAKER_04
transcript.pyannote[1095].start 5590.54971875
transcript.pyannote[1095].end 5597.77221875
transcript.pyannote[1096].speaker SPEAKER_14
transcript.pyannote[1096].start 5596.10159375
transcript.pyannote[1096].end 5596.35471875
transcript.pyannote[1097].speaker SPEAKER_14
transcript.pyannote[1097].start 5597.77221875
transcript.pyannote[1097].end 5607.67784375
transcript.pyannote[1098].speaker SPEAKER_04
transcript.pyannote[1098].start 5598.41346875
transcript.pyannote[1098].end 5598.64971875
transcript.pyannote[1099].speaker SPEAKER_04
transcript.pyannote[1099].start 5600.72534375
transcript.pyannote[1099].end 5601.18096875
transcript.pyannote[1100].speaker SPEAKER_04
transcript.pyannote[1100].start 5603.88096875
transcript.pyannote[1100].end 5604.60659375
transcript.pyannote[1101].speaker SPEAKER_04
transcript.pyannote[1101].start 5606.88471875
transcript.pyannote[1101].end 5621.75159375
transcript.pyannote[1102].speaker SPEAKER_14
transcript.pyannote[1102].start 5608.11659375
transcript.pyannote[1102].end 5608.33596875
transcript.pyannote[1103].speaker SPEAKER_14
transcript.pyannote[1103].start 5609.88846875
transcript.pyannote[1103].end 5610.22596875
transcript.pyannote[1104].speaker SPEAKER_14
transcript.pyannote[1104].start 5610.41159375
transcript.pyannote[1104].end 5610.66471875
transcript.pyannote[1105].speaker SPEAKER_16
transcript.pyannote[1105].start 5621.98784375
transcript.pyannote[1105].end 5622.66284375
transcript.pyannote[1106].speaker SPEAKER_04
transcript.pyannote[1106].start 5622.22409375
transcript.pyannote[1106].end 5622.52784375
transcript.pyannote[1107].speaker SPEAKER_15
transcript.pyannote[1107].start 5622.52784375
transcript.pyannote[1107].end 5622.54471875
transcript.pyannote[1108].speaker SPEAKER_04
transcript.pyannote[1108].start 5622.54471875
transcript.pyannote[1108].end 5622.59534375
transcript.pyannote[1109].speaker SPEAKER_15
transcript.pyannote[1109].start 5622.59534375
transcript.pyannote[1109].end 5622.61221875
transcript.pyannote[1110].speaker SPEAKER_04
transcript.pyannote[1110].start 5622.61221875
transcript.pyannote[1110].end 5622.96659375
transcript.pyannote[1111].speaker SPEAKER_15
transcript.pyannote[1111].start 5622.66284375
transcript.pyannote[1111].end 5622.67971875
transcript.pyannote[1112].speaker SPEAKER_15
transcript.pyannote[1112].start 5622.96659375
transcript.pyannote[1112].end 5634.45846875
transcript.pyannote[1113].speaker SPEAKER_04
transcript.pyannote[1113].start 5625.78471875
transcript.pyannote[1113].end 5625.83534375
transcript.pyannote[1114].speaker SPEAKER_16
transcript.pyannote[1114].start 5625.83534375
transcript.pyannote[1114].end 5626.02096875
transcript.pyannote[1115].speaker SPEAKER_04
transcript.pyannote[1115].start 5626.02096875
transcript.pyannote[1115].end 5626.03784375
transcript.pyannote[1116].speaker SPEAKER_04
transcript.pyannote[1116].start 5628.95721875
transcript.pyannote[1116].end 5629.29471875
transcript.pyannote[1117].speaker SPEAKER_04
transcript.pyannote[1117].start 5632.70346875
transcript.pyannote[1117].end 5632.99034375
transcript.pyannote[1118].speaker SPEAKER_04
transcript.pyannote[1118].start 5634.45846875
transcript.pyannote[1118].end 5641.00596875
transcript.pyannote[1119].speaker SPEAKER_15
transcript.pyannote[1119].start 5640.87096875
transcript.pyannote[1119].end 5641.02284375
transcript.pyannote[1120].speaker SPEAKER_04
transcript.pyannote[1120].start 5641.02284375
transcript.pyannote[1120].end 5641.71471875
transcript.pyannote[1121].speaker SPEAKER_15
transcript.pyannote[1121].start 5641.07346875
transcript.pyannote[1121].end 5642.35596875
transcript.pyannote[1122].speaker SPEAKER_04
transcript.pyannote[1122].start 5641.98471875
transcript.pyannote[1122].end 5648.09346875
transcript.pyannote[1123].speaker SPEAKER_04
transcript.pyannote[1123].start 5648.22846875
transcript.pyannote[1123].end 5650.28721875
transcript.pyannote[1124].speaker SPEAKER_20
transcript.pyannote[1124].start 5650.28721875
transcript.pyannote[1124].end 5650.30409375
transcript.pyannote[1125].speaker SPEAKER_20
transcript.pyannote[1125].start 5651.68784375
transcript.pyannote[1125].end 5655.04596875
transcript.pyannote[1126].speaker SPEAKER_04
transcript.pyannote[1126].start 5651.78909375
transcript.pyannote[1126].end 5652.85221875
transcript.pyannote[1127].speaker SPEAKER_13
transcript.pyannote[1127].start 5660.95221875
transcript.pyannote[1127].end 5670.11534375
transcript.pyannote[1128].speaker SPEAKER_13
transcript.pyannote[1128].start 5670.58784375
transcript.pyannote[1128].end 5675.86971875
transcript.pyannote[1129].speaker SPEAKER_13
transcript.pyannote[1129].start 5676.46034375
transcript.pyannote[1129].end 5679.10971875
transcript.pyannote[1130].speaker SPEAKER_13
transcript.pyannote[1130].start 5680.66221875
transcript.pyannote[1130].end 5681.65784375
transcript.pyannote[1131].speaker SPEAKER_20
transcript.pyannote[1131].start 5681.92784375
transcript.pyannote[1131].end 5685.37034375
transcript.pyannote[1132].speaker SPEAKER_13
transcript.pyannote[1132].start 5682.28221875
transcript.pyannote[1132].end 5682.95721875
transcript.pyannote[1133].speaker SPEAKER_20
transcript.pyannote[1133].start 5686.02846875
transcript.pyannote[1133].end 5691.37784375
transcript.pyannote[1134].speaker SPEAKER_13
transcript.pyannote[1134].start 5687.73284375
transcript.pyannote[1134].end 5689.85909375
transcript.pyannote[1135].speaker SPEAKER_13
transcript.pyannote[1135].start 5689.90971875
transcript.pyannote[1135].end 5689.94346875
transcript.pyannote[1136].speaker SPEAKER_13
transcript.pyannote[1136].start 5689.97721875
transcript.pyannote[1136].end 5691.46221875
transcript.pyannote[1137].speaker SPEAKER_13
transcript.pyannote[1137].start 5692.05284375
transcript.pyannote[1137].end 5701.67159375
transcript.pyannote[1138].speaker SPEAKER_13
transcript.pyannote[1138].start 5702.29596875
transcript.pyannote[1138].end 5709.94034375
transcript.pyannote[1139].speaker SPEAKER_13
transcript.pyannote[1139].start 5711.57721875
transcript.pyannote[1139].end 5712.35346875
transcript.pyannote[1140].speaker SPEAKER_13
transcript.pyannote[1140].start 5713.02846875
transcript.pyannote[1140].end 5713.63596875
transcript.pyannote[1141].speaker SPEAKER_20
transcript.pyannote[1141].start 5714.56409375
transcript.pyannote[1141].end 5715.28971875
transcript.pyannote[1142].speaker SPEAKER_13
transcript.pyannote[1142].start 5715.00284375
transcript.pyannote[1142].end 5737.19346875
transcript.pyannote[1143].speaker SPEAKER_13
transcript.pyannote[1143].start 5738.42534375
transcript.pyannote[1143].end 5742.28971875
transcript.pyannote[1144].speaker SPEAKER_13
transcript.pyannote[1144].start 5743.84221875
transcript.pyannote[1144].end 5763.78846875
transcript.pyannote[1145].speaker SPEAKER_13
transcript.pyannote[1145].start 5764.34534375
transcript.pyannote[1145].end 5764.91909375
transcript.pyannote[1146].speaker SPEAKER_13
transcript.pyannote[1146].start 5765.35784375
transcript.pyannote[1146].end 5767.36596875
transcript.pyannote[1147].speaker SPEAKER_13
transcript.pyannote[1147].start 5769.07034375
transcript.pyannote[1147].end 5774.45346875
transcript.pyannote[1148].speaker SPEAKER_13
transcript.pyannote[1148].start 5775.83721875
transcript.pyannote[1148].end 5777.92971875
transcript.pyannote[1149].speaker SPEAKER_13
transcript.pyannote[1149].start 5779.09409375
transcript.pyannote[1149].end 5779.43159375
transcript.pyannote[1150].speaker SPEAKER_13
transcript.pyannote[1150].start 5780.81534375
transcript.pyannote[1150].end 5792.67846875
transcript.pyannote[1151].speaker SPEAKER_13
transcript.pyannote[1151].start 5793.48846875
transcript.pyannote[1151].end 5801.01471875
transcript.pyannote[1152].speaker SPEAKER_13
transcript.pyannote[1152].start 5803.07346875
transcript.pyannote[1152].end 5804.96346875
transcript.pyannote[1153].speaker SPEAKER_16
transcript.pyannote[1153].start 5805.58784375
transcript.pyannote[1153].end 5805.60471875
transcript.pyannote[1154].speaker SPEAKER_13
transcript.pyannote[1154].start 5805.60471875
transcript.pyannote[1154].end 5806.73534375
transcript.pyannote[1155].speaker SPEAKER_11
transcript.pyannote[1155].start 5805.72284375
transcript.pyannote[1155].end 5819.17221875
transcript.pyannote[1156].speaker SPEAKER_13
transcript.pyannote[1156].start 5818.71659375
transcript.pyannote[1156].end 5830.51221875
transcript.pyannote[1157].speaker SPEAKER_11
transcript.pyannote[1157].start 5820.20159375
transcript.pyannote[1157].end 5822.10846875
transcript.pyannote[1158].speaker SPEAKER_11
transcript.pyannote[1158].start 5823.20534375
transcript.pyannote[1158].end 5824.82534375
transcript.pyannote[1159].speaker SPEAKER_11
transcript.pyannote[1159].start 5827.17096875
transcript.pyannote[1159].end 5828.38596875
transcript.pyannote[1160].speaker SPEAKER_11
transcript.pyannote[1160].start 5829.24659375
transcript.pyannote[1160].end 5830.49534375
transcript.pyannote[1161].speaker SPEAKER_11
transcript.pyannote[1161].start 5830.51221875
transcript.pyannote[1161].end 5831.37284375
transcript.pyannote[1162].speaker SPEAKER_13
transcript.pyannote[1162].start 5831.37284375
transcript.pyannote[1162].end 5831.60909375
transcript.pyannote[1163].speaker SPEAKER_11
transcript.pyannote[1163].start 5831.60909375
transcript.pyannote[1163].end 5831.72721875
transcript.pyannote[1164].speaker SPEAKER_13
transcript.pyannote[1164].start 5831.72721875
transcript.pyannote[1164].end 5831.76096875
transcript.pyannote[1165].speaker SPEAKER_11
transcript.pyannote[1165].start 5831.76096875
transcript.pyannote[1165].end 5831.77784375
transcript.pyannote[1166].speaker SPEAKER_13
transcript.pyannote[1166].start 5831.77784375
transcript.pyannote[1166].end 5831.81159375
transcript.pyannote[1167].speaker SPEAKER_11
transcript.pyannote[1167].start 5831.81159375
transcript.pyannote[1167].end 5831.84534375
transcript.pyannote[1168].speaker SPEAKER_13
transcript.pyannote[1168].start 5831.84534375
transcript.pyannote[1168].end 5831.86221875
transcript.pyannote[1169].speaker SPEAKER_11
transcript.pyannote[1169].start 5831.86221875
transcript.pyannote[1169].end 5832.03096875
transcript.pyannote[1170].speaker SPEAKER_13
transcript.pyannote[1170].start 5832.03096875
transcript.pyannote[1170].end 5832.04784375
transcript.pyannote[1171].speaker SPEAKER_11
transcript.pyannote[1171].start 5832.04784375
transcript.pyannote[1171].end 5832.25034375
transcript.pyannote[1172].speaker SPEAKER_13
transcript.pyannote[1172].start 5832.25034375
transcript.pyannote[1172].end 5837.98784375
transcript.pyannote[1173].speaker SPEAKER_11
transcript.pyannote[1173].start 5832.65534375
transcript.pyannote[1173].end 5833.07721875
transcript.pyannote[1174].speaker SPEAKER_11
transcript.pyannote[1174].start 5834.08971875
transcript.pyannote[1174].end 5834.57909375
transcript.pyannote[1175].speaker SPEAKER_11
transcript.pyannote[1175].start 5836.78971875
transcript.pyannote[1175].end 5839.21971875
transcript.pyannote[1176].speaker SPEAKER_13
transcript.pyannote[1176].start 5838.49409375
transcript.pyannote[1176].end 5861.29221875
transcript.pyannote[1177].speaker SPEAKER_11
transcript.pyannote[1177].start 5843.96159375
transcript.pyannote[1177].end 5844.53534375
transcript.pyannote[1178].speaker SPEAKER_11
transcript.pyannote[1178].start 5846.64471875
transcript.pyannote[1178].end 5846.99909375
transcript.pyannote[1179].speaker SPEAKER_11
transcript.pyannote[1179].start 5860.29659375
transcript.pyannote[1179].end 5860.87034375
transcript.pyannote[1180].speaker SPEAKER_11
transcript.pyannote[1180].start 5861.29221875
transcript.pyannote[1180].end 5861.69721875
transcript.pyannote[1181].speaker SPEAKER_13
transcript.pyannote[1181].start 5861.69721875
transcript.pyannote[1181].end 5881.55909375
transcript.pyannote[1182].speaker SPEAKER_13
transcript.pyannote[1182].start 5882.33534375
transcript.pyannote[1182].end 5906.04471875
transcript.pyannote[1183].speaker SPEAKER_11
transcript.pyannote[1183].start 5883.11159375
transcript.pyannote[1183].end 5883.44909375
transcript.pyannote[1184].speaker SPEAKER_13
transcript.pyannote[1184].start 5906.73659375
transcript.pyannote[1184].end 5913.57096875
transcript.pyannote[1185].speaker SPEAKER_16
transcript.pyannote[1185].start 5907.69846875
transcript.pyannote[1185].end 5907.71534375
transcript.pyannote[1186].speaker SPEAKER_22
transcript.pyannote[1186].start 5907.71534375
transcript.pyannote[1186].end 5908.06971875
transcript.pyannote[1187].speaker SPEAKER_00
transcript.pyannote[1187].start 5908.06971875
transcript.pyannote[1187].end 5908.13721875
transcript.pyannote[1188].speaker SPEAKER_13
transcript.pyannote[1188].start 5915.39346875
transcript.pyannote[1188].end 5916.82784375
transcript.pyannote[1189].speaker SPEAKER_13
transcript.pyannote[1189].start 5917.82346875
transcript.pyannote[1189].end 5919.59534375
transcript.pyannote[1190].speaker SPEAKER_13
transcript.pyannote[1190].start 5920.00034375
transcript.pyannote[1190].end 5925.40034375
transcript.pyannote[1191].speaker SPEAKER_00
transcript.pyannote[1191].start 5922.78471875
transcript.pyannote[1191].end 5924.03346875
transcript.pyannote[1192].speaker SPEAKER_17
transcript.pyannote[1192].start 5924.03346875
transcript.pyannote[1192].end 5925.28221875
transcript.pyannote[1193].speaker SPEAKER_13
transcript.pyannote[1193].start 5925.80534375
transcript.pyannote[1193].end 5927.50971875
transcript.pyannote[1194].speaker SPEAKER_13
transcript.pyannote[1194].start 5927.71221875
transcript.pyannote[1194].end 5930.36159375
transcript.pyannote[1195].speaker SPEAKER_13
transcript.pyannote[1195].start 5931.34034375
transcript.pyannote[1195].end 5933.95596875
transcript.pyannote[1196].speaker SPEAKER_13
transcript.pyannote[1196].start 5935.64346875
transcript.pyannote[1196].end 5937.80346875
transcript.pyannote[1197].speaker SPEAKER_20
transcript.pyannote[1197].start 5938.78221875
transcript.pyannote[1197].end 5939.50784375
transcript.pyannote[1198].speaker SPEAKER_20
transcript.pyannote[1198].start 5940.16596875
transcript.pyannote[1198].end 5940.63846875
transcript.pyannote[1199].speaker SPEAKER_20
transcript.pyannote[1199].start 5941.31346875
transcript.pyannote[1199].end 5942.42721875
transcript.pyannote[1200].speaker SPEAKER_20
transcript.pyannote[1200].start 5943.40596875
transcript.pyannote[1200].end 5944.13159375
transcript.pyannote[1201].speaker SPEAKER_20
transcript.pyannote[1201].start 5944.80659375
transcript.pyannote[1201].end 5945.85284375
transcript.pyannote[1202].speaker SPEAKER_20
transcript.pyannote[1202].start 5946.79784375
transcript.pyannote[1202].end 5954.13846875
transcript.pyannote[1203].speaker SPEAKER_14
transcript.pyannote[1203].start 5954.13846875
transcript.pyannote[1203].end 5955.40409375
transcript.pyannote[1204].speaker SPEAKER_13
transcript.pyannote[1204].start 5955.38721875
transcript.pyannote[1204].end 5955.70784375
transcript.pyannote[1205].speaker SPEAKER_20
transcript.pyannote[1205].start 5955.40409375
transcript.pyannote[1205].end 5955.69096875
transcript.pyannote[1206].speaker SPEAKER_14
transcript.pyannote[1206].start 5955.69096875
transcript.pyannote[1206].end 5956.68659375
transcript.pyannote[1207].speaker SPEAKER_13
transcript.pyannote[1207].start 5957.04096875
transcript.pyannote[1207].end 5962.01909375
transcript.pyannote[1208].speaker SPEAKER_13
transcript.pyannote[1208].start 5962.79534375
transcript.pyannote[1208].end 5967.16596875
transcript.pyannote[1209].speaker SPEAKER_13
transcript.pyannote[1209].start 5971.58721875
transcript.pyannote[1209].end 5972.07659375
transcript.pyannote[1210].speaker SPEAKER_13
transcript.pyannote[1210].start 5972.17784375
transcript.pyannote[1210].end 5972.21159375
transcript.pyannote[1211].speaker SPEAKER_11
transcript.pyannote[1211].start 5972.21159375
transcript.pyannote[1211].end 5972.27909375
transcript.pyannote[1212].speaker SPEAKER_11
transcript.pyannote[1212].start 5972.29596875
transcript.pyannote[1212].end 5972.78534375
transcript.pyannote[1213].speaker SPEAKER_13
transcript.pyannote[1213].start 5972.76846875
transcript.pyannote[1213].end 5986.97721875
transcript.pyannote[1214].speaker SPEAKER_14
transcript.pyannote[1214].start 5986.01534375
transcript.pyannote[1214].end 5986.63971875
transcript.pyannote[1215].speaker SPEAKER_14
transcript.pyannote[1215].start 5986.97721875
transcript.pyannote[1215].end 5987.02784375
transcript.pyannote[1216].speaker SPEAKER_13
transcript.pyannote[1216].start 5987.02784375
transcript.pyannote[1216].end 5987.97284375
transcript.pyannote[1217].speaker SPEAKER_14
transcript.pyannote[1217].start 5987.97284375
transcript.pyannote[1217].end 5988.02346875
transcript.pyannote[1218].speaker SPEAKER_13
transcript.pyannote[1218].start 5988.02346875
transcript.pyannote[1218].end 5988.96846875
transcript.pyannote[1219].speaker SPEAKER_14
transcript.pyannote[1219].start 5988.96846875
transcript.pyannote[1219].end 5989.03596875
transcript.pyannote[1220].speaker SPEAKER_13
transcript.pyannote[1220].start 5989.03596875
transcript.pyannote[1220].end 5989.96409375
transcript.pyannote[1221].speaker SPEAKER_14
transcript.pyannote[1221].start 5989.96409375
transcript.pyannote[1221].end 5990.03159375
transcript.pyannote[1222].speaker SPEAKER_13
transcript.pyannote[1222].start 5990.03159375
transcript.pyannote[1222].end 5990.97659375
transcript.pyannote[1223].speaker SPEAKER_14
transcript.pyannote[1223].start 5990.97659375
transcript.pyannote[1223].end 5992.19159375
transcript.pyannote[1224].speaker SPEAKER_13
transcript.pyannote[1224].start 5991.34784375
transcript.pyannote[1224].end 6010.66971875
transcript.pyannote[1225].speaker SPEAKER_13
transcript.pyannote[1225].start 6011.71596875
transcript.pyannote[1225].end 6014.02784375
transcript.pyannote[1226].speaker SPEAKER_20
transcript.pyannote[1226].start 6014.02784375
transcript.pyannote[1226].end 6016.39034375
transcript.pyannote[1227].speaker SPEAKER_13
transcript.pyannote[1227].start 6017.47034375
transcript.pyannote[1227].end 6019.49534375
transcript.pyannote[1228].speaker SPEAKER_13
transcript.pyannote[1228].start 6021.04784375
transcript.pyannote[1228].end 6022.34721875
transcript.pyannote[1229].speaker SPEAKER_20
transcript.pyannote[1229].start 6023.98409375
transcript.pyannote[1229].end 6024.64221875
transcript.pyannote[1230].speaker SPEAKER_20
transcript.pyannote[1230].start 6026.27909375
transcript.pyannote[1230].end 6027.03846875
transcript.pyannote[1231].speaker SPEAKER_13
transcript.pyannote[1231].start 6029.78909375
transcript.pyannote[1231].end 6030.59909375
transcript.pyannote[1232].speaker SPEAKER_13
transcript.pyannote[1232].start 6031.51034375
transcript.pyannote[1232].end 6034.58159375
transcript.pyannote[1233].speaker SPEAKER_13
transcript.pyannote[1233].start 6035.08784375
transcript.pyannote[1233].end 6035.83034375
transcript.pyannote[1234].speaker SPEAKER_13
transcript.pyannote[1234].start 6037.88909375
transcript.pyannote[1234].end 6039.03659375
transcript.pyannote[1235].speaker SPEAKER_13
transcript.pyannote[1235].start 6039.61034375
transcript.pyannote[1235].end 6042.61409375
transcript.pyannote[1236].speaker SPEAKER_13
transcript.pyannote[1236].start 6042.85034375
transcript.pyannote[1236].end 6048.97596875
transcript.pyannote[1237].speaker SPEAKER_14
transcript.pyannote[1237].start 6048.97596875
transcript.pyannote[1237].end 6049.00971875
transcript.pyannote[1238].speaker SPEAKER_14
transcript.pyannote[1238].start 6050.14034375
transcript.pyannote[1238].end 6057.34596875
transcript.pyannote[1239].speaker SPEAKER_13
transcript.pyannote[1239].start 6055.62471875
transcript.pyannote[1239].end 6057.93659375
transcript.pyannote[1240].speaker SPEAKER_20
transcript.pyannote[1240].start 6057.34596875
transcript.pyannote[1240].end 6058.05471875
transcript.pyannote[1241].speaker SPEAKER_20
transcript.pyannote[1241].start 6058.18971875
transcript.pyannote[1241].end 6060.21471875
transcript.pyannote[1242].speaker SPEAKER_13
transcript.pyannote[1242].start 6059.96159375
transcript.pyannote[1242].end 6065.02409375
transcript.pyannote[1243].speaker SPEAKER_20
transcript.pyannote[1243].start 6065.02409375
transcript.pyannote[1243].end 6068.34846875
transcript.pyannote[1244].speaker SPEAKER_20
transcript.pyannote[1244].start 6068.63534375
transcript.pyannote[1244].end 6070.49159375
transcript.pyannote[1245].speaker SPEAKER_13
transcript.pyannote[1245].start 6129.95909375
transcript.pyannote[1245].end 6130.48221875
transcript.pyannote[1246].speaker SPEAKER_20
transcript.pyannote[1246].start 6448.00221875
transcript.pyannote[1246].end 6451.29284375
transcript.pyannote[1247].speaker SPEAKER_20
transcript.pyannote[1247].start 6452.44034375
transcript.pyannote[1247].end 6457.23284375
transcript.pyannote[1248].speaker SPEAKER_20
transcript.pyannote[1248].start 6459.86534375
transcript.pyannote[1248].end 6461.40096875
transcript.pyannote[1249].speaker SPEAKER_20
transcript.pyannote[1249].start 6461.99159375
transcript.pyannote[1249].end 6466.24409375
transcript.pyannote[1250].speaker SPEAKER_20
transcript.pyannote[1250].start 6468.03284375
transcript.pyannote[1250].end 6469.87221875
transcript.pyannote[1251].speaker SPEAKER_20
transcript.pyannote[1251].start 6469.95659375
transcript.pyannote[1251].end 6471.76221875
transcript.pyannote[1252].speaker SPEAKER_20
transcript.pyannote[1252].start 6473.06159375
transcript.pyannote[1252].end 6475.33971875
transcript.pyannote[1253].speaker SPEAKER_20
transcript.pyannote[1253].start 6475.91346875
transcript.pyannote[1253].end 6478.41096875
transcript.pyannote[1254].speaker SPEAKER_20
transcript.pyannote[1254].start 6479.71034375
transcript.pyannote[1254].end 6483.42284375
transcript.pyannote[1255].speaker SPEAKER_20
transcript.pyannote[1255].start 6483.54096875
transcript.pyannote[1255].end 6484.53659375
transcript.pyannote[1256].speaker SPEAKER_13
transcript.pyannote[1256].start 6485.09346875
transcript.pyannote[1256].end 6488.62034375
transcript.pyannote[1257].speaker SPEAKER_20
transcript.pyannote[1257].start 6489.41346875
transcript.pyannote[1257].end 6489.88596875
transcript.pyannote[1258].speaker SPEAKER_20
transcript.pyannote[1258].start 6490.52721875
transcript.pyannote[1258].end 6490.83096875
transcript.pyannote[1259].speaker SPEAKER_20
transcript.pyannote[1259].start 6494.15534375
transcript.pyannote[1259].end 6495.48846875
transcript.pyannote[1260].speaker SPEAKER_13
transcript.pyannote[1260].start 6495.85971875
transcript.pyannote[1260].end 6508.54971875
transcript.pyannote[1261].speaker SPEAKER_13
transcript.pyannote[1261].start 6510.77721875
transcript.pyannote[1261].end 6515.83971875
transcript.pyannote[1262].speaker SPEAKER_13
transcript.pyannote[1262].start 6516.71721875
transcript.pyannote[1262].end 6518.38784375
transcript.pyannote[1263].speaker SPEAKER_13
transcript.pyannote[1263].start 6520.41284375
transcript.pyannote[1263].end 6521.89784375
transcript.pyannote[1264].speaker SPEAKER_13
transcript.pyannote[1264].start 6522.42096875
transcript.pyannote[1264].end 6529.37346875
transcript.pyannote[1265].speaker SPEAKER_13
transcript.pyannote[1265].start 6530.35221875
transcript.pyannote[1265].end 6540.19034375
transcript.pyannote[1266].speaker SPEAKER_14
transcript.pyannote[1266].start 6531.80346875
transcript.pyannote[1266].end 6532.98471875
transcript.pyannote[1267].speaker SPEAKER_13
transcript.pyannote[1267].start 6541.05096875
transcript.pyannote[1267].end 6550.34909375
transcript.pyannote[1268].speaker SPEAKER_13
transcript.pyannote[1268].start 6552.22221875
transcript.pyannote[1268].end 6553.97721875
transcript.pyannote[1269].speaker SPEAKER_13
transcript.pyannote[1269].start 6555.78284375
transcript.pyannote[1269].end 6564.94596875
transcript.pyannote[1270].speaker SPEAKER_08
transcript.pyannote[1270].start 6566.31284375
transcript.pyannote[1270].end 6573.94034375
transcript.pyannote[1271].speaker SPEAKER_13
transcript.pyannote[1271].start 6569.62034375
transcript.pyannote[1271].end 6571.84784375
transcript.pyannote[1272].speaker SPEAKER_13
transcript.pyannote[1272].start 6572.96159375
transcript.pyannote[1272].end 6581.23034375
transcript.pyannote[1273].speaker SPEAKER_08
transcript.pyannote[1273].start 6574.76721875
transcript.pyannote[1273].end 6576.75846875
transcript.pyannote[1274].speaker SPEAKER_08
transcript.pyannote[1274].start 6580.58909375
transcript.pyannote[1274].end 6587.84534375
transcript.pyannote[1275].speaker SPEAKER_13
transcript.pyannote[1275].start 6583.10346875
transcript.pyannote[1275].end 6583.30596875
transcript.pyannote[1276].speaker SPEAKER_13
transcript.pyannote[1276].start 6586.10721875
transcript.pyannote[1276].end 6587.23784375
transcript.pyannote[1277].speaker SPEAKER_13
transcript.pyannote[1277].start 6587.42346875
transcript.pyannote[1277].end 6601.15971875
transcript.pyannote[1278].speaker SPEAKER_08
transcript.pyannote[1278].start 6601.61534375
transcript.pyannote[1278].end 6607.63971875
transcript.pyannote[1279].speaker SPEAKER_13
transcript.pyannote[1279].start 6603.53909375
transcript.pyannote[1279].end 6603.80909375
transcript.pyannote[1280].speaker SPEAKER_13
transcript.pyannote[1280].start 6605.78346875
transcript.pyannote[1280].end 6609.04034375
transcript.pyannote[1281].speaker SPEAKER_08
transcript.pyannote[1281].start 6608.50034375
transcript.pyannote[1281].end 6610.12034375
transcript.pyannote[1282].speaker SPEAKER_13
transcript.pyannote[1282].start 6610.45784375
transcript.pyannote[1282].end 6627.73784375
transcript.pyannote[1283].speaker SPEAKER_08
transcript.pyannote[1283].start 6612.11159375
transcript.pyannote[1283].end 6614.99721875
transcript.pyannote[1284].speaker SPEAKER_13
transcript.pyannote[1284].start 6627.99096875
transcript.pyannote[1284].end 6640.51221875
transcript.pyannote[1285].speaker SPEAKER_00
transcript.pyannote[1285].start 6628.24409375
transcript.pyannote[1285].end 6629.03721875
transcript.pyannote[1286].speaker SPEAKER_08
transcript.pyannote[1286].start 6629.03721875
transcript.pyannote[1286].end 6630.16784375
transcript.pyannote[1287].speaker SPEAKER_08
transcript.pyannote[1287].start 6640.05659375
transcript.pyannote[1287].end 6644.89971875
transcript.pyannote[1288].speaker SPEAKER_13
transcript.pyannote[1288].start 6641.57534375
transcript.pyannote[1288].end 6645.52409375
transcript.pyannote[1289].speaker SPEAKER_13
transcript.pyannote[1289].start 6645.62534375
transcript.pyannote[1289].end 6693.44909375
transcript.pyannote[1290].speaker SPEAKER_08
transcript.pyannote[1290].start 6645.79409375
transcript.pyannote[1290].end 6646.03034375
transcript.pyannote[1291].speaker SPEAKER_22
transcript.pyannote[1291].start 6646.03034375
transcript.pyannote[1291].end 6646.08096875
transcript.pyannote[1292].speaker SPEAKER_08
transcript.pyannote[1292].start 6646.08096875
transcript.pyannote[1292].end 6646.16534375
transcript.pyannote[1293].speaker SPEAKER_13
transcript.pyannote[1293].start 6693.58409375
transcript.pyannote[1293].end 6732.14346875
transcript.pyannote[1294].speaker SPEAKER_14
transcript.pyannote[1294].start 6708.13034375
transcript.pyannote[1294].end 6710.83034375
transcript.pyannote[1295].speaker SPEAKER_13
transcript.pyannote[1295].start 6732.68346875
transcript.pyannote[1295].end 6734.97846875
transcript.pyannote[1296].speaker SPEAKER_14
transcript.pyannote[1296].start 6734.97846875
transcript.pyannote[1296].end 6735.34971875
transcript.pyannote[1297].speaker SPEAKER_13
transcript.pyannote[1297].start 6735.34971875
transcript.pyannote[1297].end 6745.32284375
transcript.pyannote[1298].speaker SPEAKER_14
transcript.pyannote[1298].start 6735.41721875
transcript.pyannote[1298].end 6740.37846875
transcript.pyannote[1299].speaker SPEAKER_13
transcript.pyannote[1299].start 6745.81221875
transcript.pyannote[1299].end 6800.23409375
transcript.pyannote[1300].speaker SPEAKER_14
transcript.pyannote[1300].start 6746.18346875
transcript.pyannote[1300].end 6746.23409375
transcript.pyannote[1301].speaker SPEAKER_14
transcript.pyannote[1301].start 6746.25096875
transcript.pyannote[1301].end 6746.43659375
transcript.pyannote[1302].speaker SPEAKER_14
transcript.pyannote[1302].start 6746.48721875
transcript.pyannote[1302].end 6747.21284375
transcript.pyannote[1303].speaker SPEAKER_14
transcript.pyannote[1303].start 6747.22971875
transcript.pyannote[1303].end 6747.26346875
transcript.pyannote[1304].speaker SPEAKER_14
transcript.pyannote[1304].start 6749.47409375
transcript.pyannote[1304].end 6750.57096875
transcript.pyannote[1305].speaker SPEAKER_14
transcript.pyannote[1305].start 6753.27096875
transcript.pyannote[1305].end 6754.90784375
transcript.pyannote[1306].speaker SPEAKER_14
transcript.pyannote[1306].start 6755.86971875
transcript.pyannote[1306].end 6758.14784375
transcript.pyannote[1307].speaker SPEAKER_14
transcript.pyannote[1307].start 6759.27846875
transcript.pyannote[1307].end 6760.13909375
transcript.pyannote[1308].speaker SPEAKER_14
transcript.pyannote[1308].start 6763.53096875
transcript.pyannote[1308].end 6763.54784375
transcript.pyannote[1309].speaker SPEAKER_14
transcript.pyannote[1309].start 6766.21409375
transcript.pyannote[1309].end 6768.99846875
transcript.pyannote[1310].speaker SPEAKER_14
transcript.pyannote[1310].start 6770.14596875
transcript.pyannote[1310].end 6770.66909375
transcript.pyannote[1311].speaker SPEAKER_14
transcript.pyannote[1311].start 6778.19534375
transcript.pyannote[1311].end 6780.06846875
transcript.pyannote[1312].speaker SPEAKER_14
transcript.pyannote[1312].start 6781.31721875
transcript.pyannote[1312].end 6781.95846875
transcript.pyannote[1313].speaker SPEAKER_14
transcript.pyannote[1313].start 6782.24534375
transcript.pyannote[1313].end 6782.65034375
transcript.pyannote[1314].speaker SPEAKER_14
transcript.pyannote[1314].start 6785.58659375
transcript.pyannote[1314].end 6786.64971875
transcript.pyannote[1315].speaker SPEAKER_13
transcript.pyannote[1315].start 6800.45346875
transcript.pyannote[1315].end 6840.07596875
transcript.pyannote[1316].speaker SPEAKER_13
transcript.pyannote[1316].start 6840.66659375
transcript.pyannote[1316].end 6850.47096875
transcript.pyannote[1317].speaker SPEAKER_13
transcript.pyannote[1317].start 6851.01096875
transcript.pyannote[1317].end 6853.18784375
transcript.pyannote[1318].speaker SPEAKER_13
transcript.pyannote[1318].start 6854.21721875
transcript.pyannote[1318].end 6917.48159375
transcript.pyannote[1319].speaker SPEAKER_13
transcript.pyannote[1319].start 6918.10596875
transcript.pyannote[1319].end 6920.01284375
transcript.pyannote[1320].speaker SPEAKER_14
transcript.pyannote[1320].start 6919.59096875
transcript.pyannote[1320].end 6919.99596875
transcript.pyannote[1321].speaker SPEAKER_14
transcript.pyannote[1321].start 6920.01284375
transcript.pyannote[1321].end 6920.09721875
transcript.pyannote[1322].speaker SPEAKER_13
transcript.pyannote[1322].start 6920.09721875
transcript.pyannote[1322].end 6920.45159375
transcript.pyannote[1323].speaker SPEAKER_14
transcript.pyannote[1323].start 6920.45159375
transcript.pyannote[1323].end 6920.63721875
transcript.pyannote[1324].speaker SPEAKER_13
transcript.pyannote[1324].start 6920.63721875
transcript.pyannote[1324].end 6920.73846875
transcript.pyannote[1325].speaker SPEAKER_14
transcript.pyannote[1325].start 6920.73846875
transcript.pyannote[1325].end 6920.82284375
transcript.pyannote[1326].speaker SPEAKER_13
transcript.pyannote[1326].start 6920.82284375
transcript.pyannote[1326].end 6920.97471875
transcript.pyannote[1327].speaker SPEAKER_14
transcript.pyannote[1327].start 6920.97471875
transcript.pyannote[1327].end 6922.49346875
transcript.pyannote[1328].speaker SPEAKER_13
transcript.pyannote[1328].start 6922.49346875
transcript.pyannote[1328].end 6932.04471875
transcript.pyannote[1329].speaker SPEAKER_14
transcript.pyannote[1329].start 6922.51034375
transcript.pyannote[1329].end 6923.74221875
transcript.pyannote[1330].speaker SPEAKER_14
transcript.pyannote[1330].start 6924.02909375
transcript.pyannote[1330].end 6924.38346875
transcript.pyannote[1331].speaker SPEAKER_14
transcript.pyannote[1331].start 6931.04909375
transcript.pyannote[1331].end 6934.55909375
transcript.pyannote[1332].speaker SPEAKER_13
transcript.pyannote[1332].start 6932.66909375
transcript.pyannote[1332].end 6944.24534375
transcript.pyannote[1333].speaker SPEAKER_14
transcript.pyannote[1333].start 6935.21721875
transcript.pyannote[1333].end 6935.65596875
transcript.pyannote[1334].speaker SPEAKER_00
transcript.pyannote[1334].start 6937.56284375
transcript.pyannote[1334].end 6937.57971875
transcript.pyannote[1335].speaker SPEAKER_14
transcript.pyannote[1335].start 6937.57971875
transcript.pyannote[1335].end 6937.61346875
transcript.pyannote[1336].speaker SPEAKER_16
transcript.pyannote[1336].start 6937.61346875
transcript.pyannote[1336].end 6937.71471875
transcript.pyannote[1337].speaker SPEAKER_14
transcript.pyannote[1337].start 6937.71471875
transcript.pyannote[1337].end 6938.18721875
transcript.pyannote[1338].speaker SPEAKER_14
transcript.pyannote[1338].start 6943.68846875
transcript.pyannote[1338].end 6944.53221875
transcript.pyannote[1339].speaker SPEAKER_13
transcript.pyannote[1339].start 6944.38034375
transcript.pyannote[1339].end 7010.42909375
transcript.pyannote[1340].speaker SPEAKER_14
transcript.pyannote[1340].start 7009.60221875
transcript.pyannote[1340].end 7022.00534375
transcript.pyannote[1341].speaker SPEAKER_13
transcript.pyannote[1341].start 7014.46221875
transcript.pyannote[1341].end 7014.86721875
transcript.pyannote[1342].speaker SPEAKER_13
transcript.pyannote[1342].start 7015.81221875
transcript.pyannote[1342].end 7016.52096875
transcript.pyannote[1343].speaker SPEAKER_13
transcript.pyannote[1343].start 7019.87909375
transcript.pyannote[1343].end 7033.96971875
transcript.pyannote[1344].speaker SPEAKER_14
transcript.pyannote[1344].start 7033.96971875
transcript.pyannote[1344].end 7043.50409375
transcript.pyannote[1345].speaker SPEAKER_13
transcript.pyannote[1345].start 7039.04909375
transcript.pyannote[1345].end 7055.97471875
transcript.pyannote[1346].speaker SPEAKER_14
transcript.pyannote[1346].start 7046.54159375
transcript.pyannote[1346].end 7048.21221875
transcript.pyannote[1347].speaker SPEAKER_16
transcript.pyannote[1347].start 7050.79409375
transcript.pyannote[1347].end 7050.82784375
transcript.pyannote[1348].speaker SPEAKER_14
transcript.pyannote[1348].start 7050.82784375
transcript.pyannote[1348].end 7051.53659375
transcript.pyannote[1349].speaker SPEAKER_14
transcript.pyannote[1349].start 7051.97534375
transcript.pyannote[1349].end 7053.76409375
transcript.pyannote[1350].speaker SPEAKER_14
transcript.pyannote[1350].start 7054.28721875
transcript.pyannote[1350].end 7054.57409375
transcript.pyannote[1351].speaker SPEAKER_14
transcript.pyannote[1351].start 7055.97471875
transcript.pyannote[1351].end 7071.75284375
transcript.pyannote[1352].speaker SPEAKER_16
transcript.pyannote[1352].start 7067.90534375
transcript.pyannote[1352].end 7069.66034375
transcript.pyannote[1353].speaker SPEAKER_20
transcript.pyannote[1353].start 7069.66034375
transcript.pyannote[1353].end 7070.58846875
transcript.pyannote[1354].speaker SPEAKER_16
transcript.pyannote[1354].start 7071.24659375
transcript.pyannote[1354].end 7071.44909375
transcript.pyannote[1355].speaker SPEAKER_20
transcript.pyannote[1355].start 7071.44909375
transcript.pyannote[1355].end 7071.49971875
transcript.pyannote[1356].speaker SPEAKER_16
transcript.pyannote[1356].start 7071.49971875
transcript.pyannote[1356].end 7071.60096875
transcript.pyannote[1357].speaker SPEAKER_20
transcript.pyannote[1357].start 7071.60096875
transcript.pyannote[1357].end 7071.65159375
transcript.pyannote[1358].speaker SPEAKER_16
transcript.pyannote[1358].start 7071.65159375
transcript.pyannote[1358].end 7071.68534375
transcript.pyannote[1359].speaker SPEAKER_20
transcript.pyannote[1359].start 7074.25034375
transcript.pyannote[1359].end 7081.77659375
transcript.pyannote[1360].speaker SPEAKER_05
transcript.pyannote[1360].start 7091.73284375
transcript.pyannote[1360].end 7097.26784375
transcript.pyannote[1361].speaker SPEAKER_05
transcript.pyannote[1361].start 7097.52096875
transcript.pyannote[1361].end 7108.57409375
transcript.pyannote[1362].speaker SPEAKER_05
transcript.pyannote[1362].start 7108.67534375
transcript.pyannote[1362].end 7109.58659375
transcript.pyannote[1363].speaker SPEAKER_05
transcript.pyannote[1363].start 7110.61596875
transcript.pyannote[1363].end 7110.88596875
transcript.pyannote[1364].speaker SPEAKER_05
transcript.pyannote[1364].start 7112.45534375
transcript.pyannote[1364].end 7112.97846875
transcript.pyannote[1365].speaker SPEAKER_05
transcript.pyannote[1365].start 7113.50159375
transcript.pyannote[1365].end 7114.10909375
transcript.pyannote[1366].speaker SPEAKER_05
transcript.pyannote[1366].start 7114.46346875
transcript.pyannote[1366].end 7115.62784375
transcript.pyannote[1367].speaker SPEAKER_05
transcript.pyannote[1367].start 7115.86409375
transcript.pyannote[1367].end 7116.82596875
transcript.pyannote[1368].speaker SPEAKER_05
transcript.pyannote[1368].start 7117.24784375
transcript.pyannote[1368].end 7119.57659375
transcript.pyannote[1369].speaker SPEAKER_14
transcript.pyannote[1369].start 7119.72846875
transcript.pyannote[1369].end 7120.42034375
transcript.pyannote[1370].speaker SPEAKER_14
transcript.pyannote[1370].start 7120.43721875
transcript.pyannote[1370].end 7120.45409375
transcript.pyannote[1371].speaker SPEAKER_05
transcript.pyannote[1371].start 7120.45409375
transcript.pyannote[1371].end 7121.44971875
transcript.pyannote[1372].speaker SPEAKER_05
transcript.pyannote[1372].start 7121.85471875
transcript.pyannote[1372].end 7126.91721875
transcript.pyannote[1373].speaker SPEAKER_14
transcript.pyannote[1373].start 7125.55034375
transcript.pyannote[1373].end 7126.12409375
transcript.pyannote[1374].speaker SPEAKER_14
transcript.pyannote[1374].start 7126.93409375
transcript.pyannote[1374].end 7128.82409375
transcript.pyannote[1375].speaker SPEAKER_05
transcript.pyannote[1375].start 7128.60471875
transcript.pyannote[1375].end 7133.68409375
transcript.pyannote[1376].speaker SPEAKER_05
transcript.pyannote[1376].start 7134.42659375
transcript.pyannote[1376].end 7135.10159375
transcript.pyannote[1377].speaker SPEAKER_14
transcript.pyannote[1377].start 7135.10159375
transcript.pyannote[1377].end 7138.81409375
transcript.pyannote[1378].speaker SPEAKER_05
transcript.pyannote[1378].start 7135.62471875
transcript.pyannote[1378].end 7138.47659375
transcript.pyannote[1379].speaker SPEAKER_05
transcript.pyannote[1379].start 7138.64534375
transcript.pyannote[1379].end 7145.86784375
transcript.pyannote[1380].speaker SPEAKER_05
transcript.pyannote[1380].start 7146.15471875
transcript.pyannote[1380].end 7146.96471875
transcript.pyannote[1381].speaker SPEAKER_14
transcript.pyannote[1381].start 7146.96471875
transcript.pyannote[1381].end 7152.28034375
transcript.pyannote[1382].speaker SPEAKER_05
transcript.pyannote[1382].start 7152.28034375
transcript.pyannote[1382].end 7152.58409375
transcript.pyannote[1383].speaker SPEAKER_14
transcript.pyannote[1383].start 7152.58409375
transcript.pyannote[1383].end 7152.76971875
transcript.pyannote[1384].speaker SPEAKER_05
transcript.pyannote[1384].start 7152.76971875
transcript.pyannote[1384].end 7154.25471875
transcript.pyannote[1385].speaker SPEAKER_05
transcript.pyannote[1385].start 7154.65971875
transcript.pyannote[1385].end 7156.76909375
transcript.pyannote[1386].speaker SPEAKER_05
transcript.pyannote[1386].start 7157.22471875
transcript.pyannote[1386].end 7162.03409375
transcript.pyannote[1387].speaker SPEAKER_05
transcript.pyannote[1387].start 7162.13534375
transcript.pyannote[1387].end 7163.35034375
transcript.pyannote[1388].speaker SPEAKER_05
transcript.pyannote[1388].start 7163.58659375
transcript.pyannote[1388].end 7164.24471875
transcript.pyannote[1389].speaker SPEAKER_05
transcript.pyannote[1389].start 7164.41346875
transcript.pyannote[1389].end 7166.11784375
transcript.pyannote[1390].speaker SPEAKER_05
transcript.pyannote[1390].start 7167.24846875
transcript.pyannote[1390].end 7167.87284375
transcript.pyannote[1391].speaker SPEAKER_05
transcript.pyannote[1391].start 7168.66596875
transcript.pyannote[1391].end 7169.08784375
transcript.pyannote[1392].speaker SPEAKER_05
transcript.pyannote[1392].start 7169.34096875
transcript.pyannote[1392].end 7170.18471875
transcript.pyannote[1393].speaker SPEAKER_14
transcript.pyannote[1393].start 7169.40846875
transcript.pyannote[1393].end 7171.87221875
transcript.pyannote[1394].speaker SPEAKER_05
transcript.pyannote[1394].start 7171.87221875
transcript.pyannote[1394].end 7176.83346875
transcript.pyannote[1395].speaker SPEAKER_05
transcript.pyannote[1395].start 7176.88409375
transcript.pyannote[1395].end 7180.09034375
transcript.pyannote[1396].speaker SPEAKER_14
transcript.pyannote[1396].start 7180.09034375
transcript.pyannote[1396].end 7180.12409375
transcript.pyannote[1397].speaker SPEAKER_14
transcript.pyannote[1397].start 7180.81596875
transcript.pyannote[1397].end 7186.80659375
transcript.pyannote[1398].speaker SPEAKER_05
transcript.pyannote[1398].start 7185.60846875
transcript.pyannote[1398].end 7192.40909375
transcript.pyannote[1399].speaker SPEAKER_05
transcript.pyannote[1399].start 7192.64534375
transcript.pyannote[1399].end 7195.78409375
transcript.pyannote[1400].speaker SPEAKER_05
transcript.pyannote[1400].start 7197.26909375
transcript.pyannote[1400].end 7198.12971875
transcript.pyannote[1401].speaker SPEAKER_05
transcript.pyannote[1401].start 7198.77096875
transcript.pyannote[1401].end 7199.05784375
transcript.pyannote[1402].speaker SPEAKER_05
transcript.pyannote[1402].start 7199.41221875
transcript.pyannote[1402].end 7200.12096875
transcript.pyannote[1403].speaker SPEAKER_05
transcript.pyannote[1403].start 7200.28971875
transcript.pyannote[1403].end 7201.47096875
transcript.pyannote[1404].speaker SPEAKER_05
transcript.pyannote[1404].start 7202.21346875
transcript.pyannote[1404].end 7203.02346875
transcript.pyannote[1405].speaker SPEAKER_05
transcript.pyannote[1405].start 7203.76596875
transcript.pyannote[1405].end 7208.15346875
transcript.pyannote[1406].speaker SPEAKER_05
transcript.pyannote[1406].start 7208.50784375
transcript.pyannote[1406].end 7210.29659375
transcript.pyannote[1407].speaker SPEAKER_05
transcript.pyannote[1407].start 7210.41471875
transcript.pyannote[1407].end 7211.95034375
transcript.pyannote[1408].speaker SPEAKER_05
transcript.pyannote[1408].start 7213.55346875
transcript.pyannote[1408].end 7214.44784375
transcript.pyannote[1409].speaker SPEAKER_14
transcript.pyannote[1409].start 7214.80221875
transcript.pyannote[1409].end 7217.46846875
transcript.pyannote[1410].speaker SPEAKER_05
transcript.pyannote[1410].start 7215.78096875
transcript.pyannote[1410].end 7217.90721875
transcript.pyannote[1411].speaker SPEAKER_14
transcript.pyannote[1411].start 7217.90721875
transcript.pyannote[1411].end 7230.17534375
transcript.pyannote[1412].speaker SPEAKER_05
transcript.pyannote[1412].start 7218.49784375
transcript.pyannote[1412].end 7220.05034375
transcript.pyannote[1413].speaker SPEAKER_05
transcript.pyannote[1413].start 7221.38346875
transcript.pyannote[1413].end 7222.00784375
transcript.pyannote[1414].speaker SPEAKER_05
transcript.pyannote[1414].start 7223.91471875
transcript.pyannote[1414].end 7224.92721875
transcript.pyannote[1415].speaker SPEAKER_05
transcript.pyannote[1415].start 7228.30221875
transcript.pyannote[1415].end 7230.86721875
transcript.pyannote[1416].speaker SPEAKER_05
transcript.pyannote[1416].start 7232.47034375
transcript.pyannote[1416].end 7233.29721875
transcript.pyannote[1417].speaker SPEAKER_05
transcript.pyannote[1417].start 7233.70221875
transcript.pyannote[1417].end 7234.90034375
transcript.pyannote[1418].speaker SPEAKER_15
transcript.pyannote[1418].start 7234.90034375
transcript.pyannote[1418].end 7235.08596875
transcript.pyannote[1419].speaker SPEAKER_05
transcript.pyannote[1419].start 7235.08596875
transcript.pyannote[1419].end 7235.10284375
transcript.pyannote[1420].speaker SPEAKER_15
transcript.pyannote[1420].start 7235.10284375
transcript.pyannote[1420].end 7235.77784375
transcript.pyannote[1421].speaker SPEAKER_05
transcript.pyannote[1421].start 7235.77784375
transcript.pyannote[1421].end 7238.14034375
transcript.pyannote[1422].speaker SPEAKER_15
transcript.pyannote[1422].start 7235.79471875
transcript.pyannote[1422].end 7237.27971875
transcript.pyannote[1423].speaker SPEAKER_05
transcript.pyannote[1423].start 7238.32596875
transcript.pyannote[1423].end 7242.91596875
transcript.pyannote[1424].speaker SPEAKER_05
transcript.pyannote[1424].start 7243.25346875
transcript.pyannote[1424].end 7243.52346875
transcript.pyannote[1425].speaker SPEAKER_05
transcript.pyannote[1425].start 7243.86096875
transcript.pyannote[1425].end 7245.12659375
transcript.pyannote[1426].speaker SPEAKER_05
transcript.pyannote[1426].start 7245.44721875
transcript.pyannote[1426].end 7246.17284375
transcript.pyannote[1427].speaker SPEAKER_14
transcript.pyannote[1427].start 7246.94909375
transcript.pyannote[1427].end 7247.99534375
transcript.pyannote[1428].speaker SPEAKER_05
transcript.pyannote[1428].start 7247.99534375
transcript.pyannote[1428].end 7248.38346875
transcript.pyannote[1429].speaker SPEAKER_05
transcript.pyannote[1429].start 7248.70409375
transcript.pyannote[1429].end 7250.76284375
transcript.pyannote[1430].speaker SPEAKER_14
transcript.pyannote[1430].start 7248.85596875
transcript.pyannote[1430].end 7248.88971875
transcript.pyannote[1431].speaker SPEAKER_14
transcript.pyannote[1431].start 7251.53909375
transcript.pyannote[1431].end 7251.65721875
transcript.pyannote[1432].speaker SPEAKER_05
transcript.pyannote[1432].start 7251.65721875
transcript.pyannote[1432].end 7252.09596875
transcript.pyannote[1433].speaker SPEAKER_14
transcript.pyannote[1433].start 7252.09596875
transcript.pyannote[1433].end 7252.11284375
transcript.pyannote[1434].speaker SPEAKER_14
transcript.pyannote[1434].start 7252.41659375
transcript.pyannote[1434].end 7256.88846875
transcript.pyannote[1435].speaker SPEAKER_05
transcript.pyannote[1435].start 7257.15846875
transcript.pyannote[1435].end 7260.01034375
transcript.pyannote[1436].speaker SPEAKER_05
transcript.pyannote[1436].start 7260.34784375
transcript.pyannote[1436].end 7263.72284375
transcript.pyannote[1437].speaker SPEAKER_05
transcript.pyannote[1437].start 7264.46534375
transcript.pyannote[1437].end 7266.03471875
transcript.pyannote[1438].speaker SPEAKER_05
transcript.pyannote[1438].start 7266.54096875
transcript.pyannote[1438].end 7269.10596875
transcript.pyannote[1439].speaker SPEAKER_05
transcript.pyannote[1439].start 7269.22409375
transcript.pyannote[1439].end 7270.43909375
transcript.pyannote[1440].speaker SPEAKER_05
transcript.pyannote[1440].start 7271.23221875
transcript.pyannote[1440].end 7275.88971875
transcript.pyannote[1441].speaker SPEAKER_05
transcript.pyannote[1441].start 7276.07534375
transcript.pyannote[1441].end 7278.80909375
transcript.pyannote[1442].speaker SPEAKER_05
transcript.pyannote[1442].start 7279.11284375
transcript.pyannote[1442].end 7281.61034375
transcript.pyannote[1443].speaker SPEAKER_05
transcript.pyannote[1443].start 7281.93096875
transcript.pyannote[1443].end 7283.04471875
transcript.pyannote[1444].speaker SPEAKER_05
transcript.pyannote[1444].start 7283.43284375
transcript.pyannote[1444].end 7284.39471875
transcript.pyannote[1445].speaker SPEAKER_14
transcript.pyannote[1445].start 7285.98096875
transcript.pyannote[1445].end 7287.93846875
transcript.pyannote[1446].speaker SPEAKER_05
transcript.pyannote[1446].start 7287.93846875
transcript.pyannote[1446].end 7288.69784375
transcript.pyannote[1447].speaker SPEAKER_05
transcript.pyannote[1447].start 7289.23784375
transcript.pyannote[1447].end 7292.49471875
transcript.pyannote[1448].speaker SPEAKER_05
transcript.pyannote[1448].start 7292.66346875
transcript.pyannote[1448].end 7294.95846875
transcript.pyannote[1449].speaker SPEAKER_05
transcript.pyannote[1449].start 7294.99221875
transcript.pyannote[1449].end 7296.29159375
transcript.pyannote[1450].speaker SPEAKER_05
transcript.pyannote[1450].start 7296.93284375
transcript.pyannote[1450].end 7297.81034375
transcript.pyannote[1451].speaker SPEAKER_05
transcript.pyannote[1451].start 7298.06346875
transcript.pyannote[1451].end 7299.12659375
transcript.pyannote[1452].speaker SPEAKER_05
transcript.pyannote[1452].start 7299.34596875
transcript.pyannote[1452].end 7300.00409375
transcript.pyannote[1453].speaker SPEAKER_05
transcript.pyannote[1453].start 7300.12221875
transcript.pyannote[1453].end 7301.96159375
transcript.pyannote[1454].speaker SPEAKER_05
transcript.pyannote[1454].start 7303.41284375
transcript.pyannote[1454].end 7305.28596875
transcript.pyannote[1455].speaker SPEAKER_05
transcript.pyannote[1455].start 7305.84284375
transcript.pyannote[1455].end 7306.70346875
transcript.pyannote[1456].speaker SPEAKER_05
transcript.pyannote[1456].start 7307.15909375
transcript.pyannote[1456].end 7308.15471875
transcript.pyannote[1457].speaker SPEAKER_05
transcript.pyannote[1457].start 7308.76221875
transcript.pyannote[1457].end 7309.28534375
transcript.pyannote[1458].speaker SPEAKER_05
transcript.pyannote[1458].start 7310.43284375
transcript.pyannote[1458].end 7311.78284375
transcript.pyannote[1459].speaker SPEAKER_05
transcript.pyannote[1459].start 7312.71096875
transcript.pyannote[1459].end 7314.17909375
transcript.pyannote[1460].speaker SPEAKER_05
transcript.pyannote[1460].start 7315.20846875
transcript.pyannote[1460].end 7317.01409375
transcript.pyannote[1461].speaker SPEAKER_05
transcript.pyannote[1461].start 7317.89159375
transcript.pyannote[1461].end 7319.56221875
transcript.pyannote[1462].speaker SPEAKER_05
transcript.pyannote[1462].start 7319.95034375
transcript.pyannote[1462].end 7321.28346875
transcript.pyannote[1463].speaker SPEAKER_05
transcript.pyannote[1463].start 7321.65471875
transcript.pyannote[1463].end 7323.00471875
transcript.pyannote[1464].speaker SPEAKER_05
transcript.pyannote[1464].start 7323.40971875
transcript.pyannote[1464].end 7324.94534375
transcript.pyannote[1465].speaker SPEAKER_05
transcript.pyannote[1465].start 7325.08034375
transcript.pyannote[1465].end 7333.01159375
transcript.pyannote[1466].speaker SPEAKER_05
transcript.pyannote[1466].start 7333.55159375
transcript.pyannote[1466].end 7334.83409375
transcript.pyannote[1467].speaker SPEAKER_14
transcript.pyannote[1467].start 7337.21346875
transcript.pyannote[1467].end 7341.82034375
transcript.pyannote[1468].speaker SPEAKER_05
transcript.pyannote[1468].start 7341.12846875
transcript.pyannote[1468].end 7347.42284375
transcript.pyannote[1469].speaker SPEAKER_05
transcript.pyannote[1469].start 7347.59159375
transcript.pyannote[1469].end 7349.24534375
transcript.pyannote[1470].speaker SPEAKER_05
transcript.pyannote[1470].start 7349.43096875
transcript.pyannote[1470].end 7353.66659375
transcript.pyannote[1471].speaker SPEAKER_05
transcript.pyannote[1471].start 7354.12221875
transcript.pyannote[1471].end 7356.95721875
transcript.pyannote[1472].speaker SPEAKER_05
transcript.pyannote[1472].start 7356.97409375
transcript.pyannote[1472].end 7363.55534375
transcript.pyannote[1473].speaker SPEAKER_05
transcript.pyannote[1473].start 7364.56784375
transcript.pyannote[1473].end 7365.10784375
transcript.pyannote[1474].speaker SPEAKER_05
transcript.pyannote[1474].start 7366.33971875
transcript.pyannote[1474].end 7368.31409375
transcript.pyannote[1475].speaker SPEAKER_05
transcript.pyannote[1475].start 7368.78659375
transcript.pyannote[1475].end 7375.09784375
transcript.pyannote[1476].speaker SPEAKER_03
transcript.pyannote[1476].start 7371.43596875
transcript.pyannote[1476].end 7373.35971875
transcript.pyannote[1477].speaker SPEAKER_05
transcript.pyannote[1477].start 7375.68846875
transcript.pyannote[1477].end 7377.64596875
transcript.pyannote[1478].speaker SPEAKER_05
transcript.pyannote[1478].start 7378.30409375
transcript.pyannote[1478].end 7380.70034375
transcript.pyannote[1479].speaker SPEAKER_05
transcript.pyannote[1479].start 7381.08846875
transcript.pyannote[1479].end 7381.99971875
transcript.pyannote[1480].speaker SPEAKER_05
transcript.pyannote[1480].start 7383.07971875
transcript.pyannote[1480].end 7383.73784375
transcript.pyannote[1481].speaker SPEAKER_05
transcript.pyannote[1481].start 7384.04159375
transcript.pyannote[1481].end 7387.65284375
transcript.pyannote[1482].speaker SPEAKER_05
transcript.pyannote[1482].start 7388.09159375
transcript.pyannote[1482].end 7390.25159375
transcript.pyannote[1483].speaker SPEAKER_05
transcript.pyannote[1483].start 7390.67346875
transcript.pyannote[1483].end 7393.84596875
transcript.pyannote[1484].speaker SPEAKER_05
transcript.pyannote[1484].start 7394.85846875
transcript.pyannote[1484].end 7395.49971875
transcript.pyannote[1485].speaker SPEAKER_16
transcript.pyannote[1485].start 7396.68096875
transcript.pyannote[1485].end 7397.79471875
transcript.pyannote[1486].speaker SPEAKER_05
transcript.pyannote[1486].start 7396.71471875
transcript.pyannote[1486].end 7400.29221875
transcript.pyannote[1487].speaker SPEAKER_16
transcript.pyannote[1487].start 7400.78159375
transcript.pyannote[1487].end 7401.10221875
transcript.pyannote[1488].speaker SPEAKER_05
transcript.pyannote[1488].start 7401.35534375
transcript.pyannote[1488].end 7414.53471875
transcript.pyannote[1489].speaker SPEAKER_14
transcript.pyannote[1489].start 7415.85096875
transcript.pyannote[1489].end 7422.04409375
transcript.pyannote[1490].speaker SPEAKER_05
transcript.pyannote[1490].start 7420.15409375
transcript.pyannote[1490].end 7421.35221875
transcript.pyannote[1491].speaker SPEAKER_05
transcript.pyannote[1491].start 7421.60534375
transcript.pyannote[1491].end 7421.79096875
transcript.pyannote[1492].speaker SPEAKER_14
transcript.pyannote[1492].start 7422.28034375
transcript.pyannote[1492].end 7428.99659375
transcript.pyannote[1493].speaker SPEAKER_05
transcript.pyannote[1493].start 7424.92971875
transcript.pyannote[1493].end 7427.30909375
transcript.pyannote[1494].speaker SPEAKER_05
transcript.pyannote[1494].start 7428.35534375
transcript.pyannote[1494].end 7429.18221875
transcript.pyannote[1495].speaker SPEAKER_05
transcript.pyannote[1495].start 7429.30034375
transcript.pyannote[1495].end 7431.05534375
transcript.pyannote[1496].speaker SPEAKER_14
transcript.pyannote[1496].start 7431.05534375
transcript.pyannote[1496].end 7432.62471875
transcript.pyannote[1497].speaker SPEAKER_05
transcript.pyannote[1497].start 7431.10596875
transcript.pyannote[1497].end 7431.15659375
transcript.pyannote[1498].speaker SPEAKER_05
transcript.pyannote[1498].start 7431.24096875
transcript.pyannote[1498].end 7432.13534375
transcript.pyannote[1499].speaker SPEAKER_05
transcript.pyannote[1499].start 7432.45596875
transcript.pyannote[1499].end 7436.08409375
transcript.pyannote[1500].speaker SPEAKER_05
transcript.pyannote[1500].start 7436.62409375
transcript.pyannote[1500].end 7440.21846875
transcript.pyannote[1501].speaker SPEAKER_05
transcript.pyannote[1501].start 7440.35346875
transcript.pyannote[1501].end 7442.34471875
transcript.pyannote[1502].speaker SPEAKER_05
transcript.pyannote[1502].start 7443.00284375
transcript.pyannote[1502].end 7446.71534375
transcript.pyannote[1503].speaker SPEAKER_14
transcript.pyannote[1503].start 7447.44096875
transcript.pyannote[1503].end 7451.23784375
transcript.pyannote[1504].speaker SPEAKER_05
transcript.pyannote[1504].start 7449.02721875
transcript.pyannote[1504].end 7451.45721875
transcript.pyannote[1505].speaker SPEAKER_05
transcript.pyannote[1505].start 7451.84534375
transcript.pyannote[1505].end 7463.55659375
transcript.pyannote[1506].speaker SPEAKER_05
transcript.pyannote[1506].start 7464.09659375
transcript.pyannote[1506].end 7470.64409375
transcript.pyannote[1507].speaker SPEAKER_16
transcript.pyannote[1507].start 7468.92284375
transcript.pyannote[1507].end 7469.42909375
transcript.pyannote[1508].speaker SPEAKER_05
transcript.pyannote[1508].start 7470.86346875
transcript.pyannote[1508].end 7474.23846875
transcript.pyannote[1509].speaker SPEAKER_05
transcript.pyannote[1509].start 7474.91346875
transcript.pyannote[1509].end 7483.41846875
transcript.pyannote[1510].speaker SPEAKER_05
transcript.pyannote[1510].start 7483.60409375
transcript.pyannote[1510].end 7483.62096875
transcript.pyannote[1511].speaker SPEAKER_14
transcript.pyannote[1511].start 7483.62096875
transcript.pyannote[1511].end 7492.34534375
transcript.pyannote[1512].speaker SPEAKER_05
transcript.pyannote[1512].start 7487.51909375
transcript.pyannote[1512].end 7488.78471875
transcript.pyannote[1513].speaker SPEAKER_05
transcript.pyannote[1513].start 7491.31596875
transcript.pyannote[1513].end 7497.47534375
transcript.pyannote[1514].speaker SPEAKER_05
transcript.pyannote[1514].start 7497.72846875
transcript.pyannote[1514].end 7501.89659375
transcript.pyannote[1515].speaker SPEAKER_05
transcript.pyannote[1515].start 7502.45346875
transcript.pyannote[1515].end 7504.90034375
transcript.pyannote[1516].speaker SPEAKER_14
transcript.pyannote[1516].start 7505.10284375
transcript.pyannote[1516].end 7515.02534375
transcript.pyannote[1517].speaker SPEAKER_05
transcript.pyannote[1517].start 7514.09721875
transcript.pyannote[1517].end 7523.19284375
transcript.pyannote[1518].speaker SPEAKER_14
transcript.pyannote[1518].start 7517.80971875
transcript.pyannote[1518].end 7517.97846875
transcript.pyannote[1519].speaker SPEAKER_08
transcript.pyannote[1519].start 7517.97846875
transcript.pyannote[1519].end 7518.04596875
transcript.pyannote[1520].speaker SPEAKER_05
transcript.pyannote[1520].start 7523.47971875
transcript.pyannote[1520].end 7531.30971875
transcript.pyannote[1521].speaker SPEAKER_14
transcript.pyannote[1521].start 7531.93409375
transcript.pyannote[1521].end 7536.06846875
transcript.pyannote[1522].speaker SPEAKER_05
transcript.pyannote[1522].start 7534.75221875
transcript.pyannote[1522].end 7540.86096875
transcript.pyannote[1523].speaker SPEAKER_14
transcript.pyannote[1523].start 7540.38846875
transcript.pyannote[1523].end 7541.48534375
transcript.pyannote[1524].speaker SPEAKER_05
transcript.pyannote[1524].start 7541.48534375
transcript.pyannote[1524].end 7548.53909375
transcript.pyannote[1525].speaker SPEAKER_14
transcript.pyannote[1525].start 7541.62034375
transcript.pyannote[1525].end 7541.95784375
transcript.pyannote[1526].speaker SPEAKER_11
transcript.pyannote[1526].start 7541.95784375
transcript.pyannote[1526].end 7541.97471875
transcript.pyannote[1527].speaker SPEAKER_14
transcript.pyannote[1527].start 7545.40034375
transcript.pyannote[1527].end 7545.41721875
transcript.pyannote[1528].speaker SPEAKER_11
transcript.pyannote[1528].start 7545.41721875
transcript.pyannote[1528].end 7549.02846875
transcript.pyannote[1529].speaker SPEAKER_14
transcript.pyannote[1529].start 7549.02846875
transcript.pyannote[1529].end 7549.04534375
transcript.pyannote[1530].speaker SPEAKER_05
transcript.pyannote[1530].start 7549.04534375
transcript.pyannote[1530].end 7558.24221875
transcript.pyannote[1531].speaker SPEAKER_14
transcript.pyannote[1531].start 7553.61846875
transcript.pyannote[1531].end 7553.98971875
transcript.pyannote[1532].speaker SPEAKER_05
transcript.pyannote[1532].start 7558.95096875
transcript.pyannote[1532].end 7563.23721875
transcript.pyannote[1533].speaker SPEAKER_05
transcript.pyannote[1533].start 7563.87846875
transcript.pyannote[1533].end 7565.31284375
transcript.pyannote[1534].speaker SPEAKER_05
transcript.pyannote[1534].start 7565.70096875
transcript.pyannote[1534].end 7567.79346875
transcript.pyannote[1535].speaker SPEAKER_05
transcript.pyannote[1535].start 7568.06346875
transcript.pyannote[1535].end 7571.67471875
transcript.pyannote[1536].speaker SPEAKER_14
transcript.pyannote[1536].start 7572.07971875
transcript.pyannote[1536].end 7573.83471875
transcript.pyannote[1537].speaker SPEAKER_05
transcript.pyannote[1537].start 7574.50971875
transcript.pyannote[1537].end 7576.07909375
transcript.pyannote[1538].speaker SPEAKER_05
transcript.pyannote[1538].start 7576.18034375
transcript.pyannote[1538].end 7578.44159375
transcript.pyannote[1539].speaker SPEAKER_05
transcript.pyannote[1539].start 7578.71159375
transcript.pyannote[1539].end 7590.40596875
transcript.pyannote[1540].speaker SPEAKER_05
transcript.pyannote[1540].start 7590.97971875
transcript.pyannote[1540].end 7597.52721875
transcript.pyannote[1541].speaker SPEAKER_05
transcript.pyannote[1541].start 7598.15159375
transcript.pyannote[1541].end 7604.26034375
transcript.pyannote[1542].speaker SPEAKER_05
transcript.pyannote[1542].start 7605.67784375
transcript.pyannote[1542].end 7605.72846875
transcript.pyannote[1543].speaker SPEAKER_14
transcript.pyannote[1543].start 7605.72846875
transcript.pyannote[1543].end 7606.33596875
transcript.pyannote[1544].speaker SPEAKER_05
transcript.pyannote[1544].start 7606.33596875
transcript.pyannote[1544].end 7609.35659375
transcript.pyannote[1545].speaker SPEAKER_14
transcript.pyannote[1545].start 7606.62284375
transcript.pyannote[1545].end 7608.15846875
transcript.pyannote[1546].speaker SPEAKER_14
transcript.pyannote[1546].start 7609.98096875
transcript.pyannote[1546].end 7612.03971875
transcript.pyannote[1547].speaker SPEAKER_05
transcript.pyannote[1547].start 7612.09034375
transcript.pyannote[1547].end 7619.97096875
transcript.pyannote[1548].speaker SPEAKER_14
transcript.pyannote[1548].start 7619.90346875
transcript.pyannote[1548].end 7621.15221875
transcript.pyannote[1549].speaker SPEAKER_05
transcript.pyannote[1549].start 7620.79784375
transcript.pyannote[1549].end 7627.42971875
transcript.pyannote[1550].speaker SPEAKER_14
transcript.pyannote[1550].start 7627.68284375
transcript.pyannote[1550].end 7627.69971875
transcript.pyannote[1551].speaker SPEAKER_21
transcript.pyannote[1551].start 7627.69971875
transcript.pyannote[1551].end 7628.29034375
transcript.pyannote[1552].speaker SPEAKER_14
transcript.pyannote[1552].start 7628.29034375
transcript.pyannote[1552].end 7628.30721875
transcript.pyannote[1553].speaker SPEAKER_21
transcript.pyannote[1553].start 7628.30721875
transcript.pyannote[1553].end 7628.32409375
transcript.pyannote[1554].speaker SPEAKER_05
transcript.pyannote[1554].start 7629.04971875
transcript.pyannote[1554].end 7631.37846875
transcript.pyannote[1555].speaker SPEAKER_05
transcript.pyannote[1555].start 7631.64846875
transcript.pyannote[1555].end 7633.74096875
transcript.pyannote[1556].speaker SPEAKER_05
transcript.pyannote[1556].start 7633.97721875
transcript.pyannote[1556].end 7636.03596875
transcript.pyannote[1557].speaker SPEAKER_14
transcript.pyannote[1557].start 7636.74471875
transcript.pyannote[1557].end 7637.92596875
transcript.pyannote[1558].speaker SPEAKER_05
transcript.pyannote[1558].start 7637.08221875
transcript.pyannote[1558].end 7638.56721875
transcript.pyannote[1559].speaker SPEAKER_14
transcript.pyannote[1559].start 7638.55034375
transcript.pyannote[1559].end 7640.17034375
transcript.pyannote[1560].speaker SPEAKER_05
transcript.pyannote[1560].start 7639.96784375
transcript.pyannote[1560].end 7648.70909375
transcript.pyannote[1561].speaker SPEAKER_14
transcript.pyannote[1561].start 7641.52034375
transcript.pyannote[1561].end 7641.89159375
transcript.pyannote[1562].speaker SPEAKER_05
transcript.pyannote[1562].start 7649.33346875
transcript.pyannote[1562].end 7653.63659375
transcript.pyannote[1563].speaker SPEAKER_05
transcript.pyannote[1563].start 7654.21034375
transcript.pyannote[1563].end 7655.61096875
transcript.pyannote[1564].speaker SPEAKER_05
transcript.pyannote[1564].start 7655.96534375
transcript.pyannote[1564].end 7657.68659375
transcript.pyannote[1565].speaker SPEAKER_05
transcript.pyannote[1565].start 7657.90596875
transcript.pyannote[1565].end 7663.28909375
transcript.pyannote[1566].speaker SPEAKER_05
transcript.pyannote[1566].start 7663.64346875
transcript.pyannote[1566].end 7664.70659375
transcript.pyannote[1567].speaker SPEAKER_14
transcript.pyannote[1567].start 7665.68534375
transcript.pyannote[1567].end 7668.35159375
transcript.pyannote[1568].speaker SPEAKER_05
transcript.pyannote[1568].start 7667.11971875
transcript.pyannote[1568].end 7667.77784375
transcript.pyannote[1569].speaker SPEAKER_05
transcript.pyannote[1569].start 7668.35159375
transcript.pyannote[1569].end 7669.97159375
transcript.pyannote[1570].speaker SPEAKER_14
transcript.pyannote[1570].start 7669.97159375
transcript.pyannote[1570].end 7670.03909375
transcript.pyannote[1571].speaker SPEAKER_05
transcript.pyannote[1571].start 7670.03909375
transcript.pyannote[1571].end 7670.96721875
transcript.pyannote[1572].speaker SPEAKER_14
transcript.pyannote[1572].start 7670.96721875
transcript.pyannote[1572].end 7671.03471875
transcript.pyannote[1573].speaker SPEAKER_05
transcript.pyannote[1573].start 7671.03471875
transcript.pyannote[1573].end 7672.03034375
transcript.pyannote[1574].speaker SPEAKER_14
transcript.pyannote[1574].start 7672.60409375
transcript.pyannote[1574].end 7672.63784375
transcript.pyannote[1575].speaker SPEAKER_05
transcript.pyannote[1575].start 7672.63784375
transcript.pyannote[1575].end 7678.13909375
transcript.pyannote[1576].speaker SPEAKER_14
transcript.pyannote[1576].start 7674.03846875
transcript.pyannote[1576].end 7674.96659375
transcript.pyannote[1577].speaker SPEAKER_02
transcript.pyannote[1577].start 7674.96659375
transcript.pyannote[1577].end 7675.00034375
transcript.pyannote[1578].speaker SPEAKER_14
transcript.pyannote[1578].start 7675.00034375
transcript.pyannote[1578].end 7675.01721875
transcript.pyannote[1579].speaker SPEAKER_05
transcript.pyannote[1579].start 7678.34159375
transcript.pyannote[1579].end 7697.98409375
transcript.pyannote[1580].speaker SPEAKER_14
transcript.pyannote[1580].start 7696.21221875
transcript.pyannote[1580].end 7697.14034375
transcript.pyannote[1581].speaker SPEAKER_05
transcript.pyannote[1581].start 7698.42284375
transcript.pyannote[1581].end 7700.66721875
transcript.pyannote[1582].speaker SPEAKER_14
transcript.pyannote[1582].start 7701.52784375
transcript.pyannote[1582].end 7703.01284375
transcript.pyannote[1583].speaker SPEAKER_05
transcript.pyannote[1583].start 7702.35471875
transcript.pyannote[1583].end 7707.73784375
transcript.pyannote[1584].speaker SPEAKER_14
transcript.pyannote[1584].start 7703.04659375
transcript.pyannote[1584].end 7703.46846875
transcript.pyannote[1585].speaker SPEAKER_14
transcript.pyannote[1585].start 7704.44721875
transcript.pyannote[1585].end 7704.81846875
transcript.pyannote[1586].speaker SPEAKER_05
transcript.pyannote[1586].start 7707.83909375
transcript.pyannote[1586].end 7709.49284375
transcript.pyannote[1587].speaker SPEAKER_05
transcript.pyannote[1587].start 7709.64471875
transcript.pyannote[1587].end 7721.76096875
transcript.pyannote[1588].speaker SPEAKER_05
transcript.pyannote[1588].start 7722.31784375
transcript.pyannote[1588].end 7726.21596875
transcript.pyannote[1589].speaker SPEAKER_05
transcript.pyannote[1589].start 7726.65471875
transcript.pyannote[1589].end 7734.73784375
transcript.pyannote[1590].speaker SPEAKER_05
transcript.pyannote[1590].start 7734.80534375
transcript.pyannote[1590].end 7741.36971875
transcript.pyannote[1591].speaker SPEAKER_14
transcript.pyannote[1591].start 7737.65721875
transcript.pyannote[1591].end 7738.24784375
transcript.pyannote[1592].speaker SPEAKER_05
transcript.pyannote[1592].start 7741.42034375
transcript.pyannote[1592].end 7747.76534375
transcript.pyannote[1593].speaker SPEAKER_20
transcript.pyannote[1593].start 7748.47409375
transcript.pyannote[1593].end 7752.86159375
transcript.pyannote[1594].speaker SPEAKER_20
transcript.pyannote[1594].start 7753.38471875
transcript.pyannote[1594].end 7755.03846875
transcript.pyannote[1595].speaker SPEAKER_20
transcript.pyannote[1595].start 7755.81471875
transcript.pyannote[1595].end 7756.03409375
transcript.pyannote[1596].speaker SPEAKER_20
transcript.pyannote[1596].start 7757.21534375
transcript.pyannote[1596].end 7759.37534375
transcript.pyannote[1597].speaker SPEAKER_20
transcript.pyannote[1597].start 7759.93221875
transcript.pyannote[1597].end 7764.33659375
transcript.pyannote[1598].speaker SPEAKER_04
transcript.pyannote[1598].start 7771.01909375
transcript.pyannote[1598].end 7771.03596875
transcript.pyannote[1599].speaker SPEAKER_05
transcript.pyannote[1599].start 7771.03596875
transcript.pyannote[1599].end 7771.33971875
transcript.pyannote[1600].speaker SPEAKER_04
transcript.pyannote[1600].start 7771.33971875
transcript.pyannote[1600].end 7773.46596875
transcript.pyannote[1601].speaker SPEAKER_20
transcript.pyannote[1601].start 8418.52971875
transcript.pyannote[1601].end 8422.25909375
transcript.pyannote[1602].speaker SPEAKER_10
transcript.pyannote[1602].start 8427.08534375
transcript.pyannote[1602].end 8431.48971875
transcript.pyannote[1603].speaker SPEAKER_20
transcript.pyannote[1603].start 8432.19846875
transcript.pyannote[1603].end 8433.88596875
transcript.pyannote[1604].speaker SPEAKER_10
transcript.pyannote[1604].start 8438.00346875
transcript.pyannote[1604].end 8438.52659375
transcript.pyannote[1605].speaker SPEAKER_10
transcript.pyannote[1605].start 8439.03284375
transcript.pyannote[1605].end 8487.10971875
transcript.pyannote[1606].speaker SPEAKER_10
transcript.pyannote[1606].start 8487.97034375
transcript.pyannote[1606].end 8489.97846875
transcript.pyannote[1607].speaker SPEAKER_14
transcript.pyannote[1607].start 8489.97846875
transcript.pyannote[1607].end 8490.24846875
transcript.pyannote[1608].speaker SPEAKER_10
transcript.pyannote[1608].start 8490.24846875
transcript.pyannote[1608].end 8490.78846875
transcript.pyannote[1609].speaker SPEAKER_14
transcript.pyannote[1609].start 8490.40034375
transcript.pyannote[1609].end 8490.50159375
transcript.pyannote[1610].speaker SPEAKER_14
transcript.pyannote[1610].start 8490.78846875
transcript.pyannote[1610].end 8495.83409375
transcript.pyannote[1611].speaker SPEAKER_17
transcript.pyannote[1611].start 8497.60596875
transcript.pyannote[1611].end 8500.74471875
transcript.pyannote[1612].speaker SPEAKER_10
transcript.pyannote[1612].start 8500.74471875
transcript.pyannote[1612].end 8537.16096875
transcript.pyannote[1613].speaker SPEAKER_17
transcript.pyannote[1613].start 8537.46471875
transcript.pyannote[1613].end 8548.21409375
transcript.pyannote[1614].speaker SPEAKER_10
transcript.pyannote[1614].start 8545.36221875
transcript.pyannote[1614].end 8551.58909375
transcript.pyannote[1615].speaker SPEAKER_17
transcript.pyannote[1615].start 8549.66534375
transcript.pyannote[1615].end 8550.28971875
transcript.pyannote[1616].speaker SPEAKER_17
transcript.pyannote[1616].start 8550.86346875
transcript.pyannote[1616].end 8552.97284375
transcript.pyannote[1617].speaker SPEAKER_10
transcript.pyannote[1617].start 8552.97284375
transcript.pyannote[1617].end 8553.02346875
transcript.pyannote[1618].speaker SPEAKER_17
transcript.pyannote[1618].start 8553.02346875
transcript.pyannote[1618].end 8553.05721875
transcript.pyannote[1619].speaker SPEAKER_10
transcript.pyannote[1619].start 8553.05721875
transcript.pyannote[1619].end 8553.22596875
transcript.pyannote[1620].speaker SPEAKER_17
transcript.pyannote[1620].start 8553.22596875
transcript.pyannote[1620].end 8558.01846875
transcript.pyannote[1621].speaker SPEAKER_17
transcript.pyannote[1621].start 8558.76096875
transcript.pyannote[1621].end 8559.68909375
transcript.pyannote[1622].speaker SPEAKER_17
transcript.pyannote[1622].start 8560.06034375
transcript.pyannote[1622].end 8572.95284375
transcript.pyannote[1623].speaker SPEAKER_10
transcript.pyannote[1623].start 8572.04159375
transcript.pyannote[1623].end 8582.47034375
transcript.pyannote[1624].speaker SPEAKER_17
transcript.pyannote[1624].start 8575.92284375
transcript.pyannote[1624].end 8578.18409375
transcript.pyannote[1625].speaker SPEAKER_17
transcript.pyannote[1625].start 8580.44534375
transcript.pyannote[1625].end 8594.18159375
transcript.pyannote[1626].speaker SPEAKER_10
transcript.pyannote[1626].start 8588.81534375
transcript.pyannote[1626].end 8597.25284375
transcript.pyannote[1627].speaker SPEAKER_10
transcript.pyannote[1627].start 8597.75909375
transcript.pyannote[1627].end 8601.40409375
transcript.pyannote[1628].speaker SPEAKER_17
transcript.pyannote[1628].start 8601.42096875
transcript.pyannote[1628].end 8612.35596875
transcript.pyannote[1629].speaker SPEAKER_10
transcript.pyannote[1629].start 8603.95221875
transcript.pyannote[1629].end 8604.69471875
transcript.pyannote[1630].speaker SPEAKER_10
transcript.pyannote[1630].start 8612.35596875
transcript.pyannote[1630].end 8617.53659375
transcript.pyannote[1631].speaker SPEAKER_17
transcript.pyannote[1631].start 8618.04284375
transcript.pyannote[1631].end 8620.64159375
transcript.pyannote[1632].speaker SPEAKER_10
transcript.pyannote[1632].start 8620.35471875
transcript.pyannote[1632].end 8622.21096875
transcript.pyannote[1633].speaker SPEAKER_17
transcript.pyannote[1633].start 8622.63284375
transcript.pyannote[1633].end 8631.44159375
transcript.pyannote[1634].speaker SPEAKER_10
transcript.pyannote[1634].start 8622.66659375
transcript.pyannote[1634].end 8625.11346875
transcript.pyannote[1635].speaker SPEAKER_10
transcript.pyannote[1635].start 8625.56909375
transcript.pyannote[1635].end 8626.86846875
transcript.pyannote[1636].speaker SPEAKER_10
transcript.pyannote[1636].start 8628.23534375
transcript.pyannote[1636].end 8629.07909375
transcript.pyannote[1637].speaker SPEAKER_10
transcript.pyannote[1637].start 8629.82159375
transcript.pyannote[1637].end 8681.72909375
transcript.pyannote[1638].speaker SPEAKER_14
transcript.pyannote[1638].start 8682.15096875
transcript.pyannote[1638].end 8747.22096875
transcript.pyannote[1639].speaker SPEAKER_10
transcript.pyannote[1639].start 8743.66034375
transcript.pyannote[1639].end 8762.03721875
transcript.pyannote[1640].speaker SPEAKER_14
transcript.pyannote[1640].start 8762.03721875
transcript.pyannote[1640].end 8772.26346875
transcript.pyannote[1641].speaker SPEAKER_10
transcript.pyannote[1641].start 8770.23846875
transcript.pyannote[1641].end 8772.11159375
transcript.pyannote[1642].speaker SPEAKER_10
transcript.pyannote[1642].start 8772.26346875
transcript.pyannote[1642].end 8773.41096875
transcript.pyannote[1643].speaker SPEAKER_14
transcript.pyannote[1643].start 8772.95534375
transcript.pyannote[1643].end 8772.97221875
transcript.pyannote[1644].speaker SPEAKER_17
transcript.pyannote[1644].start 8772.97221875
transcript.pyannote[1644].end 8796.27659375
transcript.pyannote[1645].speaker SPEAKER_10
transcript.pyannote[1645].start 8794.74096875
transcript.pyannote[1645].end 8848.03221875
transcript.pyannote[1646].speaker SPEAKER_17
transcript.pyannote[1646].start 8796.85034375
transcript.pyannote[1646].end 8797.40721875
transcript.pyannote[1647].speaker SPEAKER_14
transcript.pyannote[1647].start 8848.03221875
transcript.pyannote[1647].end 8848.82534375
transcript.pyannote[1648].speaker SPEAKER_14
transcript.pyannote[1648].start 8849.24721875
transcript.pyannote[1648].end 8864.04659375
transcript.pyannote[1649].speaker SPEAKER_10
transcript.pyannote[1649].start 8862.51096875
transcript.pyannote[1649].end 8884.02659375
transcript.pyannote[1650].speaker SPEAKER_14
transcript.pyannote[1650].start 8866.32471875
transcript.pyannote[1650].end 8866.89846875
transcript.pyannote[1651].speaker SPEAKER_14
transcript.pyannote[1651].start 8881.88346875
transcript.pyannote[1651].end 8882.40659375
transcript.pyannote[1652].speaker SPEAKER_14
transcript.pyannote[1652].start 8884.02659375
transcript.pyannote[1652].end 8886.72659375
transcript.pyannote[1653].speaker SPEAKER_10
transcript.pyannote[1653].start 8885.61284375
transcript.pyannote[1653].end 8912.51159375
transcript.pyannote[1654].speaker SPEAKER_14
transcript.pyannote[1654].start 8914.45221875
transcript.pyannote[1654].end 8914.70534375
transcript.pyannote[1655].speaker SPEAKER_14
transcript.pyannote[1655].start 8914.80659375
transcript.pyannote[1655].end 8915.86971875
transcript.pyannote[1656].speaker SPEAKER_14
transcript.pyannote[1656].start 8916.13971875
transcript.pyannote[1656].end 8917.67534375
transcript.pyannote[1657].speaker SPEAKER_14
transcript.pyannote[1657].start 8918.14784375
transcript.pyannote[1657].end 8919.58221875
transcript.pyannote[1658].speaker SPEAKER_14
transcript.pyannote[1658].start 8919.83534375
transcript.pyannote[1658].end 8927.47971875
transcript.pyannote[1659].speaker SPEAKER_16
transcript.pyannote[1659].start 8919.98721875
transcript.pyannote[1659].end 8920.40909375
transcript.pyannote[1660].speaker SPEAKER_14
transcript.pyannote[1660].start 8928.66096875
transcript.pyannote[1660].end 8928.96471875
transcript.pyannote[1661].speaker SPEAKER_10
transcript.pyannote[1661].start 8928.96471875
transcript.pyannote[1661].end 8937.46971875
transcript.pyannote[1662].speaker SPEAKER_10
transcript.pyannote[1662].start 8938.21221875
transcript.pyannote[1662].end 8944.03409375
transcript.pyannote[1663].speaker SPEAKER_14
transcript.pyannote[1663].start 8944.03409375
transcript.pyannote[1663].end 8945.53596875
transcript.pyannote[1664].speaker SPEAKER_10
transcript.pyannote[1664].start 8945.75534375
transcript.pyannote[1664].end 8945.80596875
transcript.pyannote[1665].speaker SPEAKER_14
transcript.pyannote[1665].start 8945.80596875
transcript.pyannote[1665].end 8946.78471875
transcript.pyannote[1666].speaker SPEAKER_10
transcript.pyannote[1666].start 8947.39221875
transcript.pyannote[1666].end 8949.19784375
transcript.pyannote[1667].speaker SPEAKER_14
transcript.pyannote[1667].start 8947.44284375
transcript.pyannote[1667].end 8972.97471875
transcript.pyannote[1668].speaker SPEAKER_10
transcript.pyannote[1668].start 8969.54909375
transcript.pyannote[1668].end 8969.80221875
transcript.pyannote[1669].speaker SPEAKER_10
transcript.pyannote[1669].start 8970.67971875
transcript.pyannote[1669].end 8972.73846875
transcript.pyannote[1670].speaker SPEAKER_10
transcript.pyannote[1670].start 8972.97471875
transcript.pyannote[1670].end 9029.03346875
transcript.pyannote[1671].speaker SPEAKER_14
transcript.pyannote[1671].start 8973.58221875
transcript.pyannote[1671].end 8975.16846875
transcript.pyannote[1672].speaker SPEAKER_23
transcript.pyannote[1672].start 8981.14221875
transcript.pyannote[1672].end 8981.46284375
transcript.pyannote[1673].speaker SPEAKER_14
transcript.pyannote[1673].start 9029.03346875
transcript.pyannote[1673].end 9047.30909375
transcript.pyannote[1674].speaker SPEAKER_10
transcript.pyannote[1674].start 9042.75284375
transcript.pyannote[1674].end 9045.46971875
transcript.pyannote[1675].speaker SPEAKER_10
transcript.pyannote[1675].start 9047.30909375
transcript.pyannote[1675].end 9153.03096875
transcript.pyannote[1676].speaker SPEAKER_14
transcript.pyannote[1676].start 9047.32596875
transcript.pyannote[1676].end 9049.58721875
transcript.pyannote[1677].speaker SPEAKER_14
transcript.pyannote[1677].start 9153.03096875
transcript.pyannote[1677].end 9154.58346875
transcript.pyannote[1678].speaker SPEAKER_16
transcript.pyannote[1678].start 9154.56659375
transcript.pyannote[1678].end 9155.56221875
transcript.pyannote[1679].speaker SPEAKER_10
transcript.pyannote[1679].start 9154.58346875
transcript.pyannote[1679].end 9155.46096875
transcript.pyannote[1680].speaker SPEAKER_14
transcript.pyannote[1680].start 9155.46096875
transcript.pyannote[1680].end 9178.73159375
transcript.pyannote[1681].speaker SPEAKER_10
transcript.pyannote[1681].start 9155.56221875
transcript.pyannote[1681].end 9155.57909375
transcript.pyannote[1682].speaker SPEAKER_10
transcript.pyannote[1682].start 9176.58846875
transcript.pyannote[1682].end 9177.65159375
transcript.pyannote[1683].speaker SPEAKER_10
transcript.pyannote[1683].start 9178.09034375
transcript.pyannote[1683].end 9178.37721875
transcript.pyannote[1684].speaker SPEAKER_10
transcript.pyannote[1684].start 9178.73159375
transcript.pyannote[1684].end 9178.76534375
transcript.pyannote[1685].speaker SPEAKER_14
transcript.pyannote[1685].start 9178.76534375
transcript.pyannote[1685].end 9178.83284375
transcript.pyannote[1686].speaker SPEAKER_10
transcript.pyannote[1686].start 9178.83284375
transcript.pyannote[1686].end 9208.11096875
transcript.pyannote[1687].speaker SPEAKER_10
transcript.pyannote[1687].start 9210.03471875
transcript.pyannote[1687].end 9210.05159375
transcript.pyannote[1688].speaker SPEAKER_14
transcript.pyannote[1688].start 9210.05159375
transcript.pyannote[1688].end 9211.26659375
transcript.pyannote[1689].speaker SPEAKER_14
transcript.pyannote[1689].start 9211.68846875
transcript.pyannote[1689].end 9229.55909375
transcript.pyannote[1690].speaker SPEAKER_10
transcript.pyannote[1690].start 9229.55909375
transcript.pyannote[1690].end 9280.03221875
transcript.pyannote[1691].speaker SPEAKER_14
transcript.pyannote[1691].start 9280.03221875
transcript.pyannote[1691].end 9281.11221875
transcript.pyannote[1692].speaker SPEAKER_14
transcript.pyannote[1692].start 9281.28096875
transcript.pyannote[1692].end 9301.96971875
transcript.pyannote[1693].speaker SPEAKER_10
transcript.pyannote[1693].start 9301.96971875
transcript.pyannote[1693].end 9320.17784375
transcript.pyannote[1694].speaker SPEAKER_23
transcript.pyannote[1694].start 9307.89284375
transcript.pyannote[1694].end 9308.41596875
transcript.pyannote[1695].speaker SPEAKER_20
transcript.pyannote[1695].start 9319.03034375
transcript.pyannote[1695].end 9321.62909375
transcript.pyannote[1696].speaker SPEAKER_20
transcript.pyannote[1696].start 9321.74721875
transcript.pyannote[1696].end 9327.09659375
transcript.pyannote[1697].speaker SPEAKER_09
transcript.pyannote[1697].start 9334.48784375
transcript.pyannote[1697].end 9342.19971875
transcript.pyannote[1698].speaker SPEAKER_20
transcript.pyannote[1698].start 9342.45284375
transcript.pyannote[1698].end 9343.60034375
transcript.pyannote[1699].speaker SPEAKER_09
transcript.pyannote[1699].start 9347.97096875
transcript.pyannote[1699].end 9364.94721875
transcript.pyannote[1700].speaker SPEAKER_09
transcript.pyannote[1700].start 9365.77409375
transcript.pyannote[1700].end 9408.16409375
transcript.pyannote[1701].speaker SPEAKER_09
transcript.pyannote[1701].start 9409.14284375
transcript.pyannote[1701].end 9436.34534375
transcript.pyannote[1702].speaker SPEAKER_09
transcript.pyannote[1702].start 9437.23971875
transcript.pyannote[1702].end 9437.25659375
transcript.pyannote[1703].speaker SPEAKER_03
transcript.pyannote[1703].start 9437.25659375
transcript.pyannote[1703].end 9437.67846875
transcript.pyannote[1704].speaker SPEAKER_09
transcript.pyannote[1704].start 9437.67846875
transcript.pyannote[1704].end 9437.72909375
transcript.pyannote[1705].speaker SPEAKER_03
transcript.pyannote[1705].start 9437.72909375
transcript.pyannote[1705].end 9437.77971875
transcript.pyannote[1706].speaker SPEAKER_09
transcript.pyannote[1706].start 9437.77971875
transcript.pyannote[1706].end 9437.84721875
transcript.pyannote[1707].speaker SPEAKER_03
transcript.pyannote[1707].start 9437.84721875
transcript.pyannote[1707].end 9437.89784375
transcript.pyannote[1708].speaker SPEAKER_09
transcript.pyannote[1708].start 9437.89784375
transcript.pyannote[1708].end 9437.96534375
transcript.pyannote[1709].speaker SPEAKER_03
transcript.pyannote[1709].start 9438.33659375
transcript.pyannote[1709].end 9463.37909375
transcript.pyannote[1710].speaker SPEAKER_09
transcript.pyannote[1710].start 9463.09221875
transcript.pyannote[1710].end 9469.11659375
transcript.pyannote[1711].speaker SPEAKER_03
transcript.pyannote[1711].start 9469.75784375
transcript.pyannote[1711].end 9470.41596875
transcript.pyannote[1712].speaker SPEAKER_09
transcript.pyannote[1712].start 9470.02784375
transcript.pyannote[1712].end 9490.69971875
transcript.pyannote[1713].speaker SPEAKER_03
transcript.pyannote[1713].start 9490.81784375
transcript.pyannote[1713].end 9502.41096875
transcript.pyannote[1714].speaker SPEAKER_09
transcript.pyannote[1714].start 9495.94784375
transcript.pyannote[1714].end 9496.36971875
transcript.pyannote[1715].speaker SPEAKER_09
transcript.pyannote[1715].start 9499.20471875
transcript.pyannote[1715].end 9500.20034375
transcript.pyannote[1716].speaker SPEAKER_09
transcript.pyannote[1716].start 9502.41096875
transcript.pyannote[1716].end 9504.36846875
transcript.pyannote[1717].speaker SPEAKER_09
transcript.pyannote[1717].start 9504.72284375
transcript.pyannote[1717].end 9509.02596875
transcript.pyannote[1718].speaker SPEAKER_03
transcript.pyannote[1718].start 9504.75659375
transcript.pyannote[1718].end 9505.19534375
transcript.pyannote[1719].speaker SPEAKER_03
transcript.pyannote[1719].start 9506.29221875
transcript.pyannote[1719].end 9506.96721875
transcript.pyannote[1720].speaker SPEAKER_03
transcript.pyannote[1720].start 9509.02596875
transcript.pyannote[1720].end 9510.22409375
transcript.pyannote[1721].speaker SPEAKER_03
transcript.pyannote[1721].start 9510.67971875
transcript.pyannote[1721].end 9528.02721875
transcript.pyannote[1722].speaker SPEAKER_03
transcript.pyannote[1722].start 9528.04409375
transcript.pyannote[1722].end 9530.33909375
transcript.pyannote[1723].speaker SPEAKER_03
transcript.pyannote[1723].start 9530.71034375
transcript.pyannote[1723].end 9533.00534375
transcript.pyannote[1724].speaker SPEAKER_03
transcript.pyannote[1724].start 9533.30909375
transcript.pyannote[1724].end 9535.04721875
transcript.pyannote[1725].speaker SPEAKER_03
transcript.pyannote[1725].start 9535.08096875
transcript.pyannote[1725].end 9540.75096875
transcript.pyannote[1726].speaker SPEAKER_03
transcript.pyannote[1726].start 9541.47659375
transcript.pyannote[1726].end 9542.65784375
transcript.pyannote[1727].speaker SPEAKER_09
transcript.pyannote[1727].start 9542.57346875
transcript.pyannote[1727].end 9546.33659375
transcript.pyannote[1728].speaker SPEAKER_09
transcript.pyannote[1728].start 9546.53909375
transcript.pyannote[1728].end 9571.46346875
transcript.pyannote[1729].speaker SPEAKER_09
transcript.pyannote[1729].start 9572.89784375
transcript.pyannote[1729].end 9576.03659375
transcript.pyannote[1730].speaker SPEAKER_09
transcript.pyannote[1730].start 9577.03221875
transcript.pyannote[1730].end 9579.02346875
transcript.pyannote[1731].speaker SPEAKER_03
transcript.pyannote[1731].start 9577.18409375
transcript.pyannote[1731].end 9577.55534375
transcript.pyannote[1732].speaker SPEAKER_03
transcript.pyannote[1732].start 9579.02346875
transcript.pyannote[1732].end 9582.66846875
transcript.pyannote[1733].speaker SPEAKER_09
transcript.pyannote[1733].start 9581.85846875
transcript.pyannote[1733].end 9581.90909375
transcript.pyannote[1734].speaker SPEAKER_03
transcript.pyannote[1734].start 9583.10721875
transcript.pyannote[1734].end 9583.86659375
transcript.pyannote[1735].speaker SPEAKER_03
transcript.pyannote[1735].start 9584.54159375
transcript.pyannote[1735].end 9600.45471875
transcript.pyannote[1736].speaker SPEAKER_09
transcript.pyannote[1736].start 9584.60909375
transcript.pyannote[1736].end 9585.77346875
transcript.pyannote[1737].speaker SPEAKER_03
transcript.pyannote[1737].start 9600.52221875
transcript.pyannote[1737].end 9600.55596875
transcript.pyannote[1738].speaker SPEAKER_09
transcript.pyannote[1738].start 9600.55596875
transcript.pyannote[1738].end 9600.92721875
transcript.pyannote[1739].speaker SPEAKER_09
transcript.pyannote[1739].start 9601.50096875
transcript.pyannote[1739].end 9604.57221875
transcript.pyannote[1740].speaker SPEAKER_09
transcript.pyannote[1740].start 9604.89284375
transcript.pyannote[1740].end 9608.72346875
transcript.pyannote[1741].speaker SPEAKER_09
transcript.pyannote[1741].start 9608.80784375
transcript.pyannote[1741].end 9638.49096875
transcript.pyannote[1742].speaker SPEAKER_09
transcript.pyannote[1742].start 9639.28409375
transcript.pyannote[1742].end 9649.03784375
transcript.pyannote[1743].speaker SPEAKER_09
transcript.pyannote[1743].start 9649.54409375
transcript.pyannote[1743].end 9672.42659375
transcript.pyannote[1744].speaker SPEAKER_09
transcript.pyannote[1744].start 9673.06784375
transcript.pyannote[1744].end 9674.82284375
transcript.pyannote[1745].speaker SPEAKER_03
transcript.pyannote[1745].start 9675.24471875
transcript.pyannote[1745].end 9711.18846875
transcript.pyannote[1746].speaker SPEAKER_03
transcript.pyannote[1746].start 9711.44159375
transcript.pyannote[1746].end 9714.24284375
transcript.pyannote[1747].speaker SPEAKER_03
transcript.pyannote[1747].start 9714.25971875
transcript.pyannote[1747].end 9718.64721875
transcript.pyannote[1748].speaker SPEAKER_03
transcript.pyannote[1748].start 9718.98471875
transcript.pyannote[1748].end 9722.35971875
transcript.pyannote[1749].speaker SPEAKER_09
transcript.pyannote[1749].start 9721.75221875
transcript.pyannote[1749].end 9724.89096875
transcript.pyannote[1750].speaker SPEAKER_03
transcript.pyannote[1750].start 9723.92909375
transcript.pyannote[1750].end 9725.02596875
transcript.pyannote[1751].speaker SPEAKER_09
transcript.pyannote[1751].start 9725.02596875
transcript.pyannote[1751].end 9769.39034375
transcript.pyannote[1752].speaker SPEAKER_03
transcript.pyannote[1752].start 9725.73471875
transcript.pyannote[1752].end 9728.16471875
transcript.pyannote[1753].speaker SPEAKER_03
transcript.pyannote[1753].start 9729.56534375
transcript.pyannote[1753].end 9730.54409375
transcript.pyannote[1754].speaker SPEAKER_16
transcript.pyannote[1754].start 9732.06284375
transcript.pyannote[1754].end 9732.50159375
transcript.pyannote[1755].speaker SPEAKER_09
transcript.pyannote[1755].start 9769.47471875
transcript.pyannote[1755].end 9788.37471875
transcript.pyannote[1756].speaker SPEAKER_09
transcript.pyannote[1756].start 9788.81346875
transcript.pyannote[1756].end 9801.41909375
transcript.pyannote[1757].speaker SPEAKER_09
transcript.pyannote[1757].start 9801.72284375
transcript.pyannote[1757].end 9804.65909375
transcript.pyannote[1758].speaker SPEAKER_03
transcript.pyannote[1758].start 9805.01346875
transcript.pyannote[1758].end 9819.52596875
transcript.pyannote[1759].speaker SPEAKER_18
transcript.pyannote[1759].start 9812.15159375
transcript.pyannote[1759].end 9812.18534375
transcript.pyannote[1760].speaker SPEAKER_09
transcript.pyannote[1760].start 9812.18534375
transcript.pyannote[1760].end 9812.45534375
transcript.pyannote[1761].speaker SPEAKER_18
transcript.pyannote[1761].start 9812.45534375
transcript.pyannote[1761].end 9812.48909375
transcript.pyannote[1762].speaker SPEAKER_09
transcript.pyannote[1762].start 9819.08721875
transcript.pyannote[1762].end 9820.94346875
transcript.pyannote[1763].speaker SPEAKER_03
transcript.pyannote[1763].start 9820.94346875
transcript.pyannote[1763].end 9830.03909375
transcript.pyannote[1764].speaker SPEAKER_09
transcript.pyannote[1764].start 9821.90534375
transcript.pyannote[1764].end 9822.66471875
transcript.pyannote[1765].speaker SPEAKER_03
transcript.pyannote[1765].start 9830.12346875
transcript.pyannote[1765].end 9836.26596875
transcript.pyannote[1766].speaker SPEAKER_03
transcript.pyannote[1766].start 9836.62034375
transcript.pyannote[1766].end 9858.59159375
transcript.pyannote[1767].speaker SPEAKER_16
transcript.pyannote[1767].start 9842.45909375
transcript.pyannote[1767].end 9842.96534375
transcript.pyannote[1768].speaker SPEAKER_00
transcript.pyannote[1768].start 9842.96534375
transcript.pyannote[1768].end 9843.06659375
transcript.pyannote[1769].speaker SPEAKER_03
transcript.pyannote[1769].start 9859.11471875
transcript.pyannote[1769].end 9863.43471875
transcript.pyannote[1770].speaker SPEAKER_03
transcript.pyannote[1770].start 9863.67096875
transcript.pyannote[1770].end 9866.91096875
transcript.pyannote[1771].speaker SPEAKER_03
transcript.pyannote[1771].start 9867.01221875
transcript.pyannote[1771].end 9887.46471875
transcript.pyannote[1772].speaker SPEAKER_09
transcript.pyannote[1772].start 9887.49846875
transcript.pyannote[1772].end 9928.26846875
transcript.pyannote[1773].speaker SPEAKER_20
transcript.pyannote[1773].start 9926.14221875
transcript.pyannote[1773].end 9926.32784375
transcript.pyannote[1774].speaker SPEAKER_20
transcript.pyannote[1774].start 9926.47971875
transcript.pyannote[1774].end 9926.51346875
transcript.pyannote[1775].speaker SPEAKER_14
transcript.pyannote[1775].start 9928.26846875
transcript.pyannote[1775].end 9928.28534375
transcript.pyannote[1776].speaker SPEAKER_20
transcript.pyannote[1776].start 9930.61409375
transcript.pyannote[1776].end 9932.38596875
transcript.pyannote[1777].speaker SPEAKER_20
transcript.pyannote[1777].start 9932.87534375
transcript.pyannote[1777].end 9934.39409375
transcript.pyannote[1778].speaker SPEAKER_06
transcript.pyannote[1778].start 9942.00471875
transcript.pyannote[1778].end 9942.51096875
transcript.pyannote[1779].speaker SPEAKER_06
transcript.pyannote[1779].start 9942.64596875
transcript.pyannote[1779].end 9943.86096875
transcript.pyannote[1780].speaker SPEAKER_06
transcript.pyannote[1780].start 9943.89471875
transcript.pyannote[1780].end 9947.13471875
transcript.pyannote[1781].speaker SPEAKER_06
transcript.pyannote[1781].start 9947.70846875
transcript.pyannote[1781].end 9948.40034375
transcript.pyannote[1782].speaker SPEAKER_06
transcript.pyannote[1782].start 9951.43784375
transcript.pyannote[1782].end 9952.07909375
transcript.pyannote[1783].speaker SPEAKER_06
transcript.pyannote[1783].start 9952.24784375
transcript.pyannote[1783].end 9952.78784375
transcript.pyannote[1784].speaker SPEAKER_06
transcript.pyannote[1784].start 9953.68221875
transcript.pyannote[1784].end 9955.42034375
transcript.pyannote[1785].speaker SPEAKER_06
transcript.pyannote[1785].start 9955.80846875
transcript.pyannote[1785].end 9958.03596875
transcript.pyannote[1786].speaker SPEAKER_14
transcript.pyannote[1786].start 9960.22971875
transcript.pyannote[1786].end 9963.30096875
transcript.pyannote[1787].speaker SPEAKER_06
transcript.pyannote[1787].start 9963.30096875
transcript.pyannote[1787].end 9969.67971875
transcript.pyannote[1788].speaker SPEAKER_06
transcript.pyannote[1788].start 9969.86534375
transcript.pyannote[1788].end 9971.48534375
transcript.pyannote[1789].speaker SPEAKER_06
transcript.pyannote[1789].start 9971.82284375
transcript.pyannote[1789].end 9978.91034375
transcript.pyannote[1790].speaker SPEAKER_06
transcript.pyannote[1790].start 9978.97784375
transcript.pyannote[1790].end 9982.80846875
transcript.pyannote[1791].speaker SPEAKER_06
transcript.pyannote[1791].start 9983.19659375
transcript.pyannote[1791].end 9992.05596875
transcript.pyannote[1792].speaker SPEAKER_06
transcript.pyannote[1792].start 9992.10659375
transcript.pyannote[1792].end 9995.19471875
transcript.pyannote[1793].speaker SPEAKER_06
transcript.pyannote[1793].start 9995.70096875
transcript.pyannote[1793].end 10006.07909375
transcript.pyannote[1794].speaker SPEAKER_06
transcript.pyannote[1794].start 10006.95659375
transcript.pyannote[1794].end 10009.55534375
transcript.pyannote[1795].speaker SPEAKER_14
transcript.pyannote[1795].start 10010.04471875
transcript.pyannote[1795].end 10010.33159375
transcript.pyannote[1796].speaker SPEAKER_14
transcript.pyannote[1796].start 10010.55096875
transcript.pyannote[1796].end 10032.50534375
transcript.pyannote[1797].speaker SPEAKER_14
transcript.pyannote[1797].start 10032.55596875
transcript.pyannote[1797].end 10068.53346875
transcript.pyannote[1798].speaker SPEAKER_06
transcript.pyannote[1798].start 10068.53346875
transcript.pyannote[1798].end 10073.15721875
transcript.pyannote[1799].speaker SPEAKER_14
transcript.pyannote[1799].start 10074.45659375
transcript.pyannote[1799].end 10077.98346875
transcript.pyannote[1800].speaker SPEAKER_06
transcript.pyannote[1800].start 10077.89909375
transcript.pyannote[1800].end 10078.62471875
transcript.pyannote[1801].speaker SPEAKER_14
transcript.pyannote[1801].start 10078.05096875
transcript.pyannote[1801].end 10079.87346875
transcript.pyannote[1802].speaker SPEAKER_06
transcript.pyannote[1802].start 10079.62034375
transcript.pyannote[1802].end 10085.25659375
transcript.pyannote[1803].speaker SPEAKER_14
transcript.pyannote[1803].start 10080.95346875
transcript.pyannote[1803].end 10081.78034375
transcript.pyannote[1804].speaker SPEAKER_14
transcript.pyannote[1804].start 10085.08784375
transcript.pyannote[1804].end 10114.41659375
transcript.pyannote[1805].speaker SPEAKER_06
transcript.pyannote[1805].start 10114.41659375
transcript.pyannote[1805].end 10116.98159375
transcript.pyannote[1806].speaker SPEAKER_14
transcript.pyannote[1806].start 10117.40346875
transcript.pyannote[1806].end 10124.57534375
transcript.pyannote[1807].speaker SPEAKER_06
transcript.pyannote[1807].start 10123.39409375
transcript.pyannote[1807].end 10130.36346875
transcript.pyannote[1808].speaker SPEAKER_16
transcript.pyannote[1808].start 10126.19534375
transcript.pyannote[1808].end 10126.36409375
transcript.pyannote[1809].speaker SPEAKER_14
transcript.pyannote[1809].start 10126.36409375
transcript.pyannote[1809].end 10126.41471875
transcript.pyannote[1810].speaker SPEAKER_06
transcript.pyannote[1810].start 10130.61659375
transcript.pyannote[1810].end 10134.78471875
transcript.pyannote[1811].speaker SPEAKER_16
transcript.pyannote[1811].start 10132.77659375
transcript.pyannote[1811].end 10133.18159375
transcript.pyannote[1812].speaker SPEAKER_16
transcript.pyannote[1812].start 10133.19846875
transcript.pyannote[1812].end 10133.58659375
transcript.pyannote[1813].speaker SPEAKER_16
transcript.pyannote[1813].start 10133.65409375
transcript.pyannote[1813].end 10133.70471875
transcript.pyannote[1814].speaker SPEAKER_16
transcript.pyannote[1814].start 10133.78909375
transcript.pyannote[1814].end 10133.80596875
transcript.pyannote[1815].speaker SPEAKER_16
transcript.pyannote[1815].start 10133.85659375
transcript.pyannote[1815].end 10133.87346875
transcript.pyannote[1816].speaker SPEAKER_14
transcript.pyannote[1816].start 10133.99159375
transcript.pyannote[1816].end 10134.04221875
transcript.pyannote[1817].speaker SPEAKER_16
transcript.pyannote[1817].start 10134.04221875
transcript.pyannote[1817].end 10134.24471875
transcript.pyannote[1818].speaker SPEAKER_02
transcript.pyannote[1818].start 10134.24471875
transcript.pyannote[1818].end 10134.26159375
transcript.pyannote[1819].speaker SPEAKER_06
transcript.pyannote[1819].start 10135.18971875
transcript.pyannote[1819].end 10137.34971875
transcript.pyannote[1820].speaker SPEAKER_14
transcript.pyannote[1820].start 10138.10909375
transcript.pyannote[1820].end 10138.26096875
transcript.pyannote[1821].speaker SPEAKER_14
transcript.pyannote[1821].start 10138.36221875
transcript.pyannote[1821].end 10141.19721875
transcript.pyannote[1822].speaker SPEAKER_06
transcript.pyannote[1822].start 10139.74596875
transcript.pyannote[1822].end 10141.01159375
transcript.pyannote[1823].speaker SPEAKER_06
transcript.pyannote[1823].start 10141.19721875
transcript.pyannote[1823].end 10141.90596875
transcript.pyannote[1824].speaker SPEAKER_06
transcript.pyannote[1824].start 10142.10846875
transcript.pyannote[1824].end 10145.93909375
transcript.pyannote[1825].speaker SPEAKER_14
transcript.pyannote[1825].start 10146.14159375
transcript.pyannote[1825].end 10146.51284375
transcript.pyannote[1826].speaker SPEAKER_14
transcript.pyannote[1826].start 10146.85034375
transcript.pyannote[1826].end 10147.50846875
transcript.pyannote[1827].speaker SPEAKER_06
transcript.pyannote[1827].start 10147.37346875
transcript.pyannote[1827].end 10149.82034375
transcript.pyannote[1828].speaker SPEAKER_14
transcript.pyannote[1828].start 10149.97221875
transcript.pyannote[1828].end 10155.96284375
transcript.pyannote[1829].speaker SPEAKER_06
transcript.pyannote[1829].start 10155.06846875
transcript.pyannote[1829].end 10156.06409375
transcript.pyannote[1830].speaker SPEAKER_14
transcript.pyannote[1830].start 10156.06409375
transcript.pyannote[1830].end 10156.55346875
transcript.pyannote[1831].speaker SPEAKER_06
transcript.pyannote[1831].start 10156.55346875
transcript.pyannote[1831].end 10161.95346875
transcript.pyannote[1832].speaker SPEAKER_14
transcript.pyannote[1832].start 10156.78971875
transcript.pyannote[1832].end 10158.91596875
transcript.pyannote[1833].speaker SPEAKER_14
transcript.pyannote[1833].start 10160.04659375
transcript.pyannote[1833].end 10160.08034375
transcript.pyannote[1834].speaker SPEAKER_06
transcript.pyannote[1834].start 10162.32471875
transcript.pyannote[1834].end 10163.48909375
transcript.pyannote[1835].speaker SPEAKER_06
transcript.pyannote[1835].start 10163.99534375
transcript.pyannote[1835].end 10166.18909375
transcript.pyannote[1836].speaker SPEAKER_06
transcript.pyannote[1836].start 10166.44221875
transcript.pyannote[1836].end 10167.21846875
transcript.pyannote[1837].speaker SPEAKER_06
transcript.pyannote[1837].start 10167.65721875
transcript.pyannote[1837].end 10168.19721875
transcript.pyannote[1838].speaker SPEAKER_06
transcript.pyannote[1838].start 10168.68659375
transcript.pyannote[1838].end 10176.02721875
transcript.pyannote[1839].speaker SPEAKER_14
transcript.pyannote[1839].start 10176.19596875
transcript.pyannote[1839].end 10187.70471875
transcript.pyannote[1840].speaker SPEAKER_06
transcript.pyannote[1840].start 10186.15221875
transcript.pyannote[1840].end 10192.73346875
transcript.pyannote[1841].speaker SPEAKER_14
transcript.pyannote[1841].start 10192.73346875
transcript.pyannote[1841].end 10199.41596875
transcript.pyannote[1842].speaker SPEAKER_06
transcript.pyannote[1842].start 10194.04971875
transcript.pyannote[1842].end 10195.04534375
transcript.pyannote[1843].speaker SPEAKER_06
transcript.pyannote[1843].start 10197.79596875
transcript.pyannote[1843].end 10203.33096875
transcript.pyannote[1844].speaker SPEAKER_14
transcript.pyannote[1844].start 10203.33096875
transcript.pyannote[1844].end 10228.12034375
transcript.pyannote[1845].speaker SPEAKER_06
transcript.pyannote[1845].start 10225.48784375
transcript.pyannote[1845].end 10226.14596875
transcript.pyannote[1846].speaker SPEAKER_06
transcript.pyannote[1846].start 10226.19659375
transcript.pyannote[1846].end 10226.83784375
transcript.pyannote[1847].speaker SPEAKER_06
transcript.pyannote[1847].start 10228.35659375
transcript.pyannote[1847].end 10232.28846875
transcript.pyannote[1848].speaker SPEAKER_06
transcript.pyannote[1848].start 10232.49096875
transcript.pyannote[1848].end 10232.72721875
transcript.pyannote[1849].speaker SPEAKER_06
transcript.pyannote[1849].start 10233.40221875
transcript.pyannote[1849].end 10234.26284375
transcript.pyannote[1850].speaker SPEAKER_06
transcript.pyannote[1850].start 10234.78596875
transcript.pyannote[1850].end 10235.86596875
transcript.pyannote[1851].speaker SPEAKER_06
transcript.pyannote[1851].start 10236.10221875
transcript.pyannote[1851].end 10238.24534375
transcript.pyannote[1852].speaker SPEAKER_14
transcript.pyannote[1852].start 10238.24534375
transcript.pyannote[1852].end 10244.84346875
transcript.pyannote[1853].speaker SPEAKER_06
transcript.pyannote[1853].start 10243.78034375
transcript.pyannote[1853].end 10247.22284375
transcript.pyannote[1854].speaker SPEAKER_14
transcript.pyannote[1854].start 10245.33284375
transcript.pyannote[1854].end 10245.40034375
transcript.pyannote[1855].speaker SPEAKER_14
transcript.pyannote[1855].start 10247.17221875
transcript.pyannote[1855].end 10248.18471875
transcript.pyannote[1856].speaker SPEAKER_06
transcript.pyannote[1856].start 10248.10034375
transcript.pyannote[1856].end 10255.00221875
transcript.pyannote[1857].speaker SPEAKER_14
transcript.pyannote[1857].start 10252.58909375
transcript.pyannote[1857].end 10252.67346875
transcript.pyannote[1858].speaker SPEAKER_14
transcript.pyannote[1858].start 10252.69034375
transcript.pyannote[1858].end 10253.71971875
transcript.pyannote[1859].speaker SPEAKER_14
transcript.pyannote[1859].start 10255.00221875
transcript.pyannote[1859].end 10264.18221875
transcript.pyannote[1860].speaker SPEAKER_06
transcript.pyannote[1860].start 10263.27096875
transcript.pyannote[1860].end 10265.53221875
transcript.pyannote[1861].speaker SPEAKER_14
transcript.pyannote[1861].start 10265.71784375
transcript.pyannote[1861].end 10267.50659375
transcript.pyannote[1862].speaker SPEAKER_06
transcript.pyannote[1862].start 10268.36721875
transcript.pyannote[1862].end 10273.95284375
transcript.pyannote[1863].speaker SPEAKER_14
transcript.pyannote[1863].start 10274.00346875
transcript.pyannote[1863].end 10277.02409375
transcript.pyannote[1864].speaker SPEAKER_06
transcript.pyannote[1864].start 10276.55159375
transcript.pyannote[1864].end 10278.22221875
transcript.pyannote[1865].speaker SPEAKER_06
transcript.pyannote[1865].start 10278.52596875
transcript.pyannote[1865].end 10279.69034375
transcript.pyannote[1866].speaker SPEAKER_06
transcript.pyannote[1866].start 10279.84221875
transcript.pyannote[1866].end 10282.87971875
transcript.pyannote[1867].speaker SPEAKER_14
transcript.pyannote[1867].start 10281.56346875
transcript.pyannote[1867].end 10281.98534375
transcript.pyannote[1868].speaker SPEAKER_06
transcript.pyannote[1868].start 10283.13284375
transcript.pyannote[1868].end 10285.95096875
transcript.pyannote[1869].speaker SPEAKER_06
transcript.pyannote[1869].start 10286.37284375
transcript.pyannote[1869].end 10288.19534375
transcript.pyannote[1870].speaker SPEAKER_06
transcript.pyannote[1870].start 10288.73534375
transcript.pyannote[1870].end 10288.76909375
transcript.pyannote[1871].speaker SPEAKER_14
transcript.pyannote[1871].start 10288.76909375
transcript.pyannote[1871].end 10288.90409375
transcript.pyannote[1872].speaker SPEAKER_06
transcript.pyannote[1872].start 10288.90409375
transcript.pyannote[1872].end 10288.97159375
transcript.pyannote[1873].speaker SPEAKER_14
transcript.pyannote[1873].start 10288.97159375
transcript.pyannote[1873].end 10289.12346875
transcript.pyannote[1874].speaker SPEAKER_06
transcript.pyannote[1874].start 10289.12346875
transcript.pyannote[1874].end 10292.19471875
transcript.pyannote[1875].speaker SPEAKER_14
transcript.pyannote[1875].start 10289.15721875
transcript.pyannote[1875].end 10289.84909375
transcript.pyannote[1876].speaker SPEAKER_14
transcript.pyannote[1876].start 10292.29596875
transcript.pyannote[1876].end 10302.52221875
transcript.pyannote[1877].speaker SPEAKER_06
transcript.pyannote[1877].start 10294.55721875
transcript.pyannote[1877].end 10295.56971875
transcript.pyannote[1878].speaker SPEAKER_06
transcript.pyannote[1878].start 10302.52221875
transcript.pyannote[1878].end 10304.73284375
transcript.pyannote[1879].speaker SPEAKER_14
transcript.pyannote[1879].start 10304.73284375
transcript.pyannote[1879].end 10310.13284375
transcript.pyannote[1880].speaker SPEAKER_06
transcript.pyannote[1880].start 10307.61846875
transcript.pyannote[1880].end 10308.61409375
transcript.pyannote[1881].speaker SPEAKER_14
transcript.pyannote[1881].start 10311.11159375
transcript.pyannote[1881].end 10315.43159375
transcript.pyannote[1882].speaker SPEAKER_06
transcript.pyannote[1882].start 10312.90034375
transcript.pyannote[1882].end 10313.96346875
transcript.pyannote[1883].speaker SPEAKER_12
transcript.pyannote[1883].start 10313.96346875
transcript.pyannote[1883].end 10314.40221875
transcript.pyannote[1884].speaker SPEAKER_06
transcript.pyannote[1884].start 10314.40221875
transcript.pyannote[1884].end 10314.41909375
transcript.pyannote[1885].speaker SPEAKER_23
transcript.pyannote[1885].start 10316.08971875
transcript.pyannote[1885].end 10324.22346875
transcript.pyannote[1886].speaker SPEAKER_16
transcript.pyannote[1886].start 10322.70471875
transcript.pyannote[1886].end 10324.13909375
transcript.pyannote[1887].speaker SPEAKER_06
transcript.pyannote[1887].start 10324.13909375
transcript.pyannote[1887].end 10324.18971875
transcript.pyannote[1888].speaker SPEAKER_23
transcript.pyannote[1888].start 10324.86471875
transcript.pyannote[1888].end 10328.00346875
transcript.pyannote[1889].speaker SPEAKER_00
transcript.pyannote[1889].start 10326.75471875
transcript.pyannote[1889].end 10326.77159375
transcript.pyannote[1890].speaker SPEAKER_06
transcript.pyannote[1890].start 10326.77159375
transcript.pyannote[1890].end 10327.80096875
transcript.pyannote[1891].speaker SPEAKER_23
transcript.pyannote[1891].start 10328.71221875
transcript.pyannote[1891].end 10330.46721875
transcript.pyannote[1892].speaker SPEAKER_23
transcript.pyannote[1892].start 10330.68659375
transcript.pyannote[1892].end 10331.66534375
transcript.pyannote[1893].speaker SPEAKER_23
transcript.pyannote[1893].start 10331.83409375
transcript.pyannote[1893].end 10332.13784375
transcript.pyannote[1894].speaker SPEAKER_06
transcript.pyannote[1894].start 10332.71159375
transcript.pyannote[1894].end 10337.28471875
transcript.pyannote[1895].speaker SPEAKER_06
transcript.pyannote[1895].start 10337.65596875
transcript.pyannote[1895].end 10340.03534375
transcript.pyannote[1896].speaker SPEAKER_06
transcript.pyannote[1896].start 10340.35596875
transcript.pyannote[1896].end 10343.15721875
transcript.pyannote[1897].speaker SPEAKER_06
transcript.pyannote[1897].start 10343.78159375
transcript.pyannote[1897].end 10345.33409375
transcript.pyannote[1898].speaker SPEAKER_23
transcript.pyannote[1898].start 10346.05971875
transcript.pyannote[1898].end 10348.91159375
transcript.pyannote[1899].speaker SPEAKER_06
transcript.pyannote[1899].start 10347.69659375
transcript.pyannote[1899].end 10348.62471875
transcript.pyannote[1900].speaker SPEAKER_06
transcript.pyannote[1900].start 10349.23221875
transcript.pyannote[1900].end 10349.75534375
transcript.pyannote[1901].speaker SPEAKER_06
transcript.pyannote[1901].start 10350.16034375
transcript.pyannote[1901].end 10351.44284375
transcript.pyannote[1902].speaker SPEAKER_06
transcript.pyannote[1902].start 10352.16846875
transcript.pyannote[1902].end 10353.28221875
transcript.pyannote[1903].speaker SPEAKER_06
transcript.pyannote[1903].start 10353.77159375
transcript.pyannote[1903].end 10356.84284375
transcript.pyannote[1904].speaker SPEAKER_06
transcript.pyannote[1904].start 10356.97784375
transcript.pyannote[1904].end 10357.85534375
transcript.pyannote[1905].speaker SPEAKER_06
transcript.pyannote[1905].start 10358.34471875
transcript.pyannote[1905].end 10359.54284375
transcript.pyannote[1906].speaker SPEAKER_06
transcript.pyannote[1906].start 10360.03221875
transcript.pyannote[1906].end 10363.50846875
transcript.pyannote[1907].speaker SPEAKER_06
transcript.pyannote[1907].start 10364.06534375
transcript.pyannote[1907].end 10366.05659375
transcript.pyannote[1908].speaker SPEAKER_06
transcript.pyannote[1908].start 10366.24221875
transcript.pyannote[1908].end 10367.94659375
transcript.pyannote[1909].speaker SPEAKER_06
transcript.pyannote[1909].start 10368.13221875
transcript.pyannote[1909].end 10370.03909375
transcript.pyannote[1910].speaker SPEAKER_06
transcript.pyannote[1910].start 10370.10659375
transcript.pyannote[1910].end 10370.93346875
transcript.pyannote[1911].speaker SPEAKER_06
transcript.pyannote[1911].start 10371.38909375
transcript.pyannote[1911].end 10372.06409375
transcript.pyannote[1912].speaker SPEAKER_06
transcript.pyannote[1912].start 10372.28346875
transcript.pyannote[1912].end 10373.11034375
transcript.pyannote[1913].speaker SPEAKER_06
transcript.pyannote[1913].start 10373.53221875
transcript.pyannote[1913].end 10375.05096875
transcript.pyannote[1914].speaker SPEAKER_14
transcript.pyannote[1914].start 10376.04659375
transcript.pyannote[1914].end 10377.07596875
transcript.pyannote[1915].speaker SPEAKER_06
transcript.pyannote[1915].start 10377.07596875
transcript.pyannote[1915].end 10378.20659375
transcript.pyannote[1916].speaker SPEAKER_12
transcript.pyannote[1916].start 10378.34159375
transcript.pyannote[1916].end 10396.70159375
transcript.pyannote[1917].speaker SPEAKER_06
transcript.pyannote[1917].start 10396.70159375
transcript.pyannote[1917].end 10402.06784375
transcript.pyannote[1918].speaker SPEAKER_12
transcript.pyannote[1918].start 10396.71846875
transcript.pyannote[1918].end 10397.49471875
transcript.pyannote[1919].speaker SPEAKER_12
transcript.pyannote[1919].start 10402.06784375
transcript.pyannote[1919].end 10425.38909375
transcript.pyannote[1920].speaker SPEAKER_06
transcript.pyannote[1920].start 10425.38909375
transcript.pyannote[1920].end 10426.78971875
transcript.pyannote[1921].speaker SPEAKER_12
transcript.pyannote[1921].start 10425.40596875
transcript.pyannote[1921].end 10425.42284375
transcript.pyannote[1922].speaker SPEAKER_12
transcript.pyannote[1922].start 10425.62534375
transcript.pyannote[1922].end 10431.24471875
transcript.pyannote[1923].speaker SPEAKER_06
transcript.pyannote[1923].start 10431.49784375
transcript.pyannote[1923].end 10434.06284375
transcript.pyannote[1924].speaker SPEAKER_12
transcript.pyannote[1924].start 10434.38346875
transcript.pyannote[1924].end 10436.84721875
transcript.pyannote[1925].speaker SPEAKER_06
transcript.pyannote[1925].start 10437.04971875
transcript.pyannote[1925].end 10439.88471875
transcript.pyannote[1926].speaker SPEAKER_12
transcript.pyannote[1926].start 10440.32346875
transcript.pyannote[1926].end 10443.47909375
transcript.pyannote[1927].speaker SPEAKER_12
transcript.pyannote[1927].start 10444.32284375
transcript.pyannote[1927].end 10444.96409375
transcript.pyannote[1928].speaker SPEAKER_06
transcript.pyannote[1928].start 10444.99784375
transcript.pyannote[1928].end 10449.08159375
transcript.pyannote[1929].speaker SPEAKER_12
transcript.pyannote[1929].start 10449.38534375
transcript.pyannote[1929].end 10453.16534375
transcript.pyannote[1930].speaker SPEAKER_06
transcript.pyannote[1930].start 10453.11471875
transcript.pyannote[1930].end 10455.57846875
transcript.pyannote[1931].speaker SPEAKER_12
transcript.pyannote[1931].start 10453.18221875
transcript.pyannote[1931].end 10453.19909375
transcript.pyannote[1932].speaker SPEAKER_12
transcript.pyannote[1932].start 10455.88221875
transcript.pyannote[1932].end 10472.25096875
transcript.pyannote[1933].speaker SPEAKER_06
transcript.pyannote[1933].start 10460.42159375
transcript.pyannote[1933].end 10460.79284375
transcript.pyannote[1934].speaker SPEAKER_06
transcript.pyannote[1934].start 10472.47034375
transcript.pyannote[1934].end 10474.71471875
transcript.pyannote[1935].speaker SPEAKER_06
transcript.pyannote[1935].start 10475.11971875
transcript.pyannote[1935].end 10482.13971875
transcript.pyannote[1936].speaker SPEAKER_12
transcript.pyannote[1936].start 10482.13971875
transcript.pyannote[1936].end 10485.48096875
transcript.pyannote[1937].speaker SPEAKER_06
transcript.pyannote[1937].start 10485.09284375
transcript.pyannote[1937].end 10496.02784375
transcript.pyannote[1938].speaker SPEAKER_12
transcript.pyannote[1938].start 10486.02096875
transcript.pyannote[1938].end 10486.42596875
transcript.pyannote[1939].speaker SPEAKER_14
transcript.pyannote[1939].start 10496.82096875
transcript.pyannote[1939].end 10501.84971875
transcript.pyannote[1940].speaker SPEAKER_06
transcript.pyannote[1940].start 10500.88784375
transcript.pyannote[1940].end 10502.50784375
transcript.pyannote[1941].speaker SPEAKER_14
transcript.pyannote[1941].start 10502.50784375
transcript.pyannote[1941].end 10505.07284375
transcript.pyannote[1942].speaker SPEAKER_06
transcript.pyannote[1942].start 10505.56221875
transcript.pyannote[1942].end 10508.46471875
transcript.pyannote[1943].speaker SPEAKER_14
transcript.pyannote[1943].start 10508.09346875
transcript.pyannote[1943].end 10508.39721875
transcript.pyannote[1944].speaker SPEAKER_14
transcript.pyannote[1944].start 10508.73471875
transcript.pyannote[1944].end 10513.57784375
transcript.pyannote[1945].speaker SPEAKER_06
transcript.pyannote[1945].start 10508.93721875
transcript.pyannote[1945].end 10509.32534375
transcript.pyannote[1946].speaker SPEAKER_06
transcript.pyannote[1946].start 10509.62909375
transcript.pyannote[1946].end 10510.11846875
transcript.pyannote[1947].speaker SPEAKER_06
transcript.pyannote[1947].start 10513.57784375
transcript.pyannote[1947].end 10520.61471875
transcript.pyannote[1948].speaker SPEAKER_06
transcript.pyannote[1948].start 10521.25596875
transcript.pyannote[1948].end 10523.63534375
transcript.pyannote[1949].speaker SPEAKER_06
transcript.pyannote[1949].start 10523.80409375
transcript.pyannote[1949].end 10527.29721875
transcript.pyannote[1950].speaker SPEAKER_14
transcript.pyannote[1950].start 10528.39409375
transcript.pyannote[1950].end 10545.77534375
transcript.pyannote[1951].speaker SPEAKER_06
transcript.pyannote[1951].start 10546.43346875
transcript.pyannote[1951].end 10548.66096875
transcript.pyannote[1952].speaker SPEAKER_20
transcript.pyannote[1952].start 10549.60596875
transcript.pyannote[1952].end 10549.65659375
transcript.pyannote[1953].speaker SPEAKER_14
transcript.pyannote[1953].start 10549.65659375
transcript.pyannote[1953].end 10549.70721875
transcript.pyannote[1954].speaker SPEAKER_20
transcript.pyannote[1954].start 10549.70721875
transcript.pyannote[1954].end 10549.75784375
transcript.pyannote[1955].speaker SPEAKER_14
transcript.pyannote[1955].start 10549.75784375
transcript.pyannote[1955].end 10549.77471875
transcript.pyannote[1956].speaker SPEAKER_20
transcript.pyannote[1956].start 10549.77471875
transcript.pyannote[1956].end 10549.87596875
transcript.pyannote[1957].speaker SPEAKER_06
transcript.pyannote[1957].start 10550.07846875
transcript.pyannote[1957].end 10551.04034375
transcript.pyannote[1958].speaker SPEAKER_20
transcript.pyannote[1958].start 10551.04034375
transcript.pyannote[1958].end 10551.05721875
transcript.pyannote[1959].speaker SPEAKER_06
transcript.pyannote[1959].start 10560.00096875
transcript.pyannote[1959].end 10560.57471875
transcript.pyannote[1960].speaker SPEAKER_15
transcript.pyannote[1960].start 10561.50284375
transcript.pyannote[1960].end 10562.02596875
transcript.pyannote[1961].speaker SPEAKER_15
transcript.pyannote[1961].start 10562.05971875
transcript.pyannote[1961].end 10562.22846875
transcript.pyannote[1962].speaker SPEAKER_06
transcript.pyannote[1962].start 10562.31284375
transcript.pyannote[1962].end 10562.92034375
transcript.pyannote[1963].speaker SPEAKER_06
transcript.pyannote[1963].start 10563.66284375
transcript.pyannote[1963].end 10564.16909375
transcript.pyannote[1964].speaker SPEAKER_06
transcript.pyannote[1964].start 10565.36721875
transcript.pyannote[1964].end 10565.94096875
transcript.pyannote[1965].speaker SPEAKER_06
transcript.pyannote[1965].start 10566.88596875
transcript.pyannote[1965].end 10567.18971875
transcript.pyannote[1966].speaker SPEAKER_06
transcript.pyannote[1966].start 10567.49346875
transcript.pyannote[1966].end 10568.18534375
transcript.pyannote[1967].speaker SPEAKER_06
transcript.pyannote[1967].start 10568.50596875
transcript.pyannote[1967].end 10571.34096875
transcript.pyannote[1968].speaker SPEAKER_06
transcript.pyannote[1968].start 10573.12971875
transcript.pyannote[1968].end 10573.68659375
transcript.pyannote[1969].speaker SPEAKER_06
transcript.pyannote[1969].start 10574.17596875
transcript.pyannote[1969].end 10576.47096875
transcript.pyannote[1970].speaker SPEAKER_06
transcript.pyannote[1970].start 10577.48346875
transcript.pyannote[1970].end 10581.43221875
transcript.pyannote[1971].speaker SPEAKER_06
transcript.pyannote[1971].start 10581.78659375
transcript.pyannote[1971].end 10586.39346875
transcript.pyannote[1972].speaker SPEAKER_00
transcript.pyannote[1972].start 10584.30096875
transcript.pyannote[1972].end 10584.31784375
transcript.pyannote[1973].speaker SPEAKER_16
transcript.pyannote[1973].start 10584.31784375
transcript.pyannote[1973].end 10584.52034375
transcript.pyannote[1974].speaker SPEAKER_00
transcript.pyannote[1974].start 10584.52034375
transcript.pyannote[1974].end 10584.53721875
transcript.pyannote[1975].speaker SPEAKER_06
transcript.pyannote[1975].start 10589.29596875
transcript.pyannote[1975].end 10591.67534375
transcript.pyannote[1976].speaker SPEAKER_06
transcript.pyannote[1976].start 10592.33346875
transcript.pyannote[1976].end 10593.53159375
transcript.pyannote[1977].speaker SPEAKER_06
transcript.pyannote[1977].start 10594.10534375
transcript.pyannote[1977].end 10594.94909375
transcript.pyannote[1978].speaker SPEAKER_06
transcript.pyannote[1978].start 10595.32034375
transcript.pyannote[1978].end 10596.95721875
transcript.pyannote[1979].speaker SPEAKER_06
transcript.pyannote[1979].start 10597.59846875
transcript.pyannote[1979].end 10599.28596875
transcript.pyannote[1980].speaker SPEAKER_06
transcript.pyannote[1980].start 10599.52221875
transcript.pyannote[1980].end 10602.71159375
transcript.pyannote[1981].speaker SPEAKER_06
transcript.pyannote[1981].start 10602.79596875
transcript.pyannote[1981].end 10606.27221875
transcript.pyannote[1982].speaker SPEAKER_06
transcript.pyannote[1982].start 10606.93034375
transcript.pyannote[1982].end 10608.56721875
transcript.pyannote[1983].speaker SPEAKER_06
transcript.pyannote[1983].start 10608.60096875
transcript.pyannote[1983].end 10613.29221875
transcript.pyannote[1984].speaker SPEAKER_06
transcript.pyannote[1984].start 10615.58721875
transcript.pyannote[1984].end 10619.72159375
transcript.pyannote[1985].speaker SPEAKER_12
transcript.pyannote[1985].start 10616.21159375
transcript.pyannote[1985].end 10616.58284375
transcript.pyannote[1986].speaker SPEAKER_00
transcript.pyannote[1986].start 10616.58284375
transcript.pyannote[1986].end 10616.59971875
transcript.pyannote[1987].speaker SPEAKER_06
transcript.pyannote[1987].start 10621.56096875
transcript.pyannote[1987].end 10622.32034375
transcript.pyannote[1988].speaker SPEAKER_06
transcript.pyannote[1988].start 10622.60721875
transcript.pyannote[1988].end 10624.78409375
transcript.pyannote[1989].speaker SPEAKER_06
transcript.pyannote[1989].start 10625.74596875
transcript.pyannote[1989].end 10626.18471875
transcript.pyannote[1990].speaker SPEAKER_06
transcript.pyannote[1990].start 10626.85971875
transcript.pyannote[1990].end 10627.72034375
transcript.pyannote[1991].speaker SPEAKER_06
transcript.pyannote[1991].start 10629.82971875
transcript.pyannote[1991].end 10633.30596875
transcript.pyannote[1992].speaker SPEAKER_06
transcript.pyannote[1992].start 10633.69409375
transcript.pyannote[1992].end 10634.95971875
transcript.pyannote[1993].speaker SPEAKER_06
transcript.pyannote[1993].start 10635.68534375
transcript.pyannote[1993].end 10637.89596875
transcript.pyannote[1994].speaker SPEAKER_06
transcript.pyannote[1994].start 10639.04346875
transcript.pyannote[1994].end 10641.37221875
transcript.pyannote[1995].speaker SPEAKER_06
transcript.pyannote[1995].start 10641.82784375
transcript.pyannote[1995].end 10642.85721875
transcript.pyannote[1996].speaker SPEAKER_06
transcript.pyannote[1996].start 10643.59971875
transcript.pyannote[1996].end 10645.28721875
transcript.pyannote[1997].speaker SPEAKER_06
transcript.pyannote[1997].start 10645.50659375
transcript.pyannote[1997].end 10647.07596875
transcript.pyannote[1998].speaker SPEAKER_06
transcript.pyannote[1998].start 10649.55659375
transcript.pyannote[1998].end 10651.05846875
transcript.pyannote[1999].speaker SPEAKER_06
transcript.pyannote[1999].start 10651.07534375
transcript.pyannote[1999].end 10651.85159375
transcript.pyannote[2000].speaker SPEAKER_06
transcript.pyannote[2000].start 10652.22284375
transcript.pyannote[2000].end 10653.37034375
transcript.pyannote[2001].speaker SPEAKER_06
transcript.pyannote[2001].start 10653.47159375
transcript.pyannote[2001].end 10655.05784375
transcript.pyannote[2002].speaker SPEAKER_06
transcript.pyannote[2002].start 10655.44596875
transcript.pyannote[2002].end 10657.70721875
transcript.pyannote[2003].speaker SPEAKER_06
transcript.pyannote[2003].start 10659.41159375
transcript.pyannote[2003].end 10662.36471875
transcript.pyannote[2004].speaker SPEAKER_06
transcript.pyannote[2004].start 10662.82034375
transcript.pyannote[2004].end 10663.22534375
transcript.pyannote[2005].speaker SPEAKER_06
transcript.pyannote[2005].start 10663.71471875
transcript.pyannote[2005].end 10664.20409375
transcript.pyannote[2006].speaker SPEAKER_06
transcript.pyannote[2006].start 10664.74409375
transcript.pyannote[2006].end 10666.04346875
transcript.pyannote[2007].speaker SPEAKER_06
transcript.pyannote[2007].start 10666.51596875
transcript.pyannote[2007].end 10667.46096875
transcript.pyannote[2008].speaker SPEAKER_06
transcript.pyannote[2008].start 10667.83221875
transcript.pyannote[2008].end 10669.06409375
transcript.pyannote[2009].speaker SPEAKER_06
transcript.pyannote[2009].start 10669.41846875
transcript.pyannote[2009].end 10671.00471875
transcript.pyannote[2010].speaker SPEAKER_06
transcript.pyannote[2010].start 10671.39284375
transcript.pyannote[2010].end 10672.91159375
transcript.pyannote[2011].speaker SPEAKER_14
transcript.pyannote[2011].start 10673.58659375
transcript.pyannote[2011].end 10675.89846875
transcript.pyannote[2012].speaker SPEAKER_06
transcript.pyannote[2012].start 10676.43846875
transcript.pyannote[2012].end 10677.09659375
transcript.pyannote[2013].speaker SPEAKER_20
transcript.pyannote[2013].start 10677.09659375
transcript.pyannote[2013].end 10677.13034375
transcript.pyannote[2014].speaker SPEAKER_06
transcript.pyannote[2014].start 10677.13034375
transcript.pyannote[2014].end 10677.14721875
transcript.pyannote[2015].speaker SPEAKER_14
transcript.pyannote[2015].start 10677.14721875
transcript.pyannote[2015].end 10677.48471875
transcript.pyannote[2016].speaker SPEAKER_20
transcript.pyannote[2016].start 10677.48471875
transcript.pyannote[2016].end 10677.70409375
transcript.pyannote[2017].speaker SPEAKER_20
transcript.pyannote[2017].start 10677.90659375
transcript.pyannote[2017].end 10679.45909375
transcript.pyannote[2018].speaker SPEAKER_20
transcript.pyannote[2018].start 10681.45034375
transcript.pyannote[2018].end 10687.44096875
transcript.pyannote[2019].speaker SPEAKER_19
transcript.pyannote[2019].start 10696.35096875
transcript.pyannote[2019].end 10700.95784375
transcript.pyannote[2020].speaker SPEAKER_19
transcript.pyannote[2020].start 10704.68721875
transcript.pyannote[2020].end 10706.18909375
transcript.pyannote[2021].speaker SPEAKER_19
transcript.pyannote[2021].start 10706.71221875
transcript.pyannote[2021].end 10712.98971875
transcript.pyannote[2022].speaker SPEAKER_19
transcript.pyannote[2022].start 10713.78284375
transcript.pyannote[2022].end 10726.32096875
transcript.pyannote[2023].speaker SPEAKER_19
transcript.pyannote[2023].start 10726.86096875
transcript.pyannote[2023].end 10745.17034375
transcript.pyannote[2024].speaker SPEAKER_19
transcript.pyannote[2024].start 10746.36846875
transcript.pyannote[2024].end 10757.40471875
transcript.pyannote[2025].speaker SPEAKER_19
transcript.pyannote[2025].start 10757.82659375
transcript.pyannote[2025].end 10764.20534375
transcript.pyannote[2026].speaker SPEAKER_19
transcript.pyannote[2026].start 10764.61034375
transcript.pyannote[2026].end 10768.28909375
transcript.pyannote[2027].speaker SPEAKER_19
transcript.pyannote[2027].start 10768.72784375
transcript.pyannote[2027].end 10776.28784375
transcript.pyannote[2028].speaker SPEAKER_19
transcript.pyannote[2028].start 10776.91221875
transcript.pyannote[2028].end 10777.36784375
transcript.pyannote[2029].speaker SPEAKER_14
transcript.pyannote[2029].start 10777.36784375
transcript.pyannote[2029].end 10787.18909375
transcript.pyannote[2030].speaker SPEAKER_19
transcript.pyannote[2030].start 10778.56596875
transcript.pyannote[2030].end 10778.65034375
transcript.pyannote[2031].speaker SPEAKER_14
transcript.pyannote[2031].start 10787.61096875
transcript.pyannote[2031].end 10793.41596875
transcript.pyannote[2032].speaker SPEAKER_19
transcript.pyannote[2032].start 10791.50909375
transcript.pyannote[2032].end 10792.25159375
transcript.pyannote[2033].speaker SPEAKER_19
transcript.pyannote[2033].start 10793.41596875
transcript.pyannote[2033].end 10794.24284375
transcript.pyannote[2034].speaker SPEAKER_19
transcript.pyannote[2034].start 10795.40721875
transcript.pyannote[2034].end 10799.23784375
transcript.pyannote[2035].speaker SPEAKER_14
transcript.pyannote[2035].start 10796.08221875
transcript.pyannote[2035].end 10796.82471875
transcript.pyannote[2036].speaker SPEAKER_19
transcript.pyannote[2036].start 10799.47409375
transcript.pyannote[2036].end 10804.16534375
transcript.pyannote[2037].speaker SPEAKER_11
transcript.pyannote[2037].start 10804.09784375
transcript.pyannote[2037].end 10804.38471875
transcript.pyannote[2038].speaker SPEAKER_19
transcript.pyannote[2038].start 10804.30034375
transcript.pyannote[2038].end 10805.80221875
transcript.pyannote[2039].speaker SPEAKER_19
transcript.pyannote[2039].start 10806.10596875
transcript.pyannote[2039].end 10809.34596875
transcript.pyannote[2040].speaker SPEAKER_19
transcript.pyannote[2040].start 10809.49784375
transcript.pyannote[2040].end 10817.98596875
transcript.pyannote[2041].speaker SPEAKER_14
transcript.pyannote[2041].start 10815.45471875
transcript.pyannote[2041].end 10815.57284375
transcript.pyannote[2042].speaker SPEAKER_14
transcript.pyannote[2042].start 10817.73284375
transcript.pyannote[2042].end 10833.54471875
transcript.pyannote[2043].speaker SPEAKER_19
transcript.pyannote[2043].start 10825.84971875
transcript.pyannote[2043].end 10826.08596875
transcript.pyannote[2044].speaker SPEAKER_19
transcript.pyannote[2044].start 10831.58721875
transcript.pyannote[2044].end 10835.18159375
transcript.pyannote[2045].speaker SPEAKER_03
transcript.pyannote[2045].start 10835.18159375
transcript.pyannote[2045].end 10853.05221875
transcript.pyannote[2046].speaker SPEAKER_19
transcript.pyannote[2046].start 10849.77846875
transcript.pyannote[2046].end 10853.06909375
transcript.pyannote[2047].speaker SPEAKER_19
transcript.pyannote[2047].start 10853.67659375
transcript.pyannote[2047].end 10856.52846875
transcript.pyannote[2048].speaker SPEAKER_19
transcript.pyannote[2048].start 10856.95034375
transcript.pyannote[2048].end 10858.80659375
transcript.pyannote[2049].speaker SPEAKER_19
transcript.pyannote[2049].start 10859.24534375
transcript.pyannote[2049].end 10861.42221875
transcript.pyannote[2050].speaker SPEAKER_19
transcript.pyannote[2050].start 10861.97909375
transcript.pyannote[2050].end 10863.27846875
transcript.pyannote[2051].speaker SPEAKER_19
transcript.pyannote[2051].start 10864.40909375
transcript.pyannote[2051].end 10864.42596875
transcript.pyannote[2052].speaker SPEAKER_03
transcript.pyannote[2052].start 10864.42596875
transcript.pyannote[2052].end 10872.79596875
transcript.pyannote[2053].speaker SPEAKER_19
transcript.pyannote[2053].start 10873.15034375
transcript.pyannote[2053].end 10897.16346875
transcript.pyannote[2054].speaker SPEAKER_16
transcript.pyannote[2054].start 10896.57284375
transcript.pyannote[2054].end 10896.58971875
transcript.pyannote[2055].speaker SPEAKER_14
transcript.pyannote[2055].start 10896.58971875
transcript.pyannote[2055].end 10897.68659375
transcript.pyannote[2056].speaker SPEAKER_19
transcript.pyannote[2056].start 10897.85534375
transcript.pyannote[2056].end 10900.28534375
transcript.pyannote[2057].speaker SPEAKER_19
transcript.pyannote[2057].start 10900.62284375
transcript.pyannote[2057].end 10912.84034375
transcript.pyannote[2058].speaker SPEAKER_19
transcript.pyannote[2058].start 10913.24534375
transcript.pyannote[2058].end 10913.61659375
transcript.pyannote[2059].speaker SPEAKER_19
transcript.pyannote[2059].start 10913.86971875
transcript.pyannote[2059].end 10924.38284375
transcript.pyannote[2060].speaker SPEAKER_19
transcript.pyannote[2060].start 10925.54721875
transcript.pyannote[2060].end 10930.60971875
transcript.pyannote[2061].speaker SPEAKER_19
transcript.pyannote[2061].start 10931.21721875
transcript.pyannote[2061].end 10947.41721875
transcript.pyannote[2062].speaker SPEAKER_19
transcript.pyannote[2062].start 10948.00784375
transcript.pyannote[2062].end 10966.72221875
transcript.pyannote[2063].speaker SPEAKER_19
transcript.pyannote[2063].start 10967.16096875
transcript.pyannote[2063].end 10976.61096875
transcript.pyannote[2064].speaker SPEAKER_19
transcript.pyannote[2064].start 10977.06659375
transcript.pyannote[2064].end 10977.67409375
transcript.pyannote[2065].speaker SPEAKER_19
transcript.pyannote[2065].start 10977.99471875
transcript.pyannote[2065].end 10983.64784375
transcript.pyannote[2066].speaker SPEAKER_14
transcript.pyannote[2066].start 10984.54221875
transcript.pyannote[2066].end 11010.41159375
transcript.pyannote[2067].speaker SPEAKER_19
transcript.pyannote[2067].start 10988.32221875
transcript.pyannote[2067].end 10988.44034375
transcript.pyannote[2068].speaker SPEAKER_00
transcript.pyannote[2068].start 10992.70971875
transcript.pyannote[2068].end 10992.86159375
transcript.pyannote[2069].speaker SPEAKER_11
transcript.pyannote[2069].start 11002.95284375
transcript.pyannote[2069].end 11003.03721875
transcript.pyannote[2070].speaker SPEAKER_19
transcript.pyannote[2070].start 11003.03721875
transcript.pyannote[2070].end 11004.42096875
transcript.pyannote[2071].speaker SPEAKER_19
transcript.pyannote[2071].start 11006.86784375
transcript.pyannote[2071].end 11008.97721875
transcript.pyannote[2072].speaker SPEAKER_19
transcript.pyannote[2072].start 11010.46221875
transcript.pyannote[2072].end 11020.03034375
transcript.pyannote[2073].speaker SPEAKER_14
transcript.pyannote[2073].start 11018.57909375
transcript.pyannote[2073].end 11019.06846875
transcript.pyannote[2074].speaker SPEAKER_00
transcript.pyannote[2074].start 11019.06846875
transcript.pyannote[2074].end 11019.42284375
transcript.pyannote[2075].speaker SPEAKER_19
transcript.pyannote[2075].start 11020.16534375
transcript.pyannote[2075].end 11041.42784375
transcript.pyannote[2076].speaker SPEAKER_19
transcript.pyannote[2076].start 11042.64284375
transcript.pyannote[2076].end 11044.04346875
transcript.pyannote[2077].speaker SPEAKER_03
transcript.pyannote[2077].start 11044.04346875
transcript.pyannote[2077].end 11055.40034375
transcript.pyannote[2078].speaker SPEAKER_00
transcript.pyannote[2078].start 11054.45534375
transcript.pyannote[2078].end 11054.96159375
transcript.pyannote[2079].speaker SPEAKER_03
transcript.pyannote[2079].start 11055.70409375
transcript.pyannote[2079].end 11061.94784375
transcript.pyannote[2080].speaker SPEAKER_03
transcript.pyannote[2080].start 11062.26846875
transcript.pyannote[2080].end 11063.65221875
transcript.pyannote[2081].speaker SPEAKER_03
transcript.pyannote[2081].start 11064.07409375
transcript.pyannote[2081].end 11075.66721875
transcript.pyannote[2082].speaker SPEAKER_19
transcript.pyannote[2082].start 11075.24534375
transcript.pyannote[2082].end 11092.10346875
transcript.pyannote[2083].speaker SPEAKER_19
transcript.pyannote[2083].start 11092.71096875
transcript.pyannote[2083].end 11100.70971875
transcript.pyannote[2084].speaker SPEAKER_19
transcript.pyannote[2084].start 11100.84471875
transcript.pyannote[2084].end 11116.69034375
transcript.pyannote[2085].speaker SPEAKER_19
transcript.pyannote[2085].start 11117.09534375
transcript.pyannote[2085].end 11119.67721875
transcript.pyannote[2086].speaker SPEAKER_19
transcript.pyannote[2086].start 11120.21721875
transcript.pyannote[2086].end 11121.97221875
transcript.pyannote[2087].speaker SPEAKER_03
transcript.pyannote[2087].start 11120.40284375
transcript.pyannote[2087].end 11120.79096875
transcript.pyannote[2088].speaker SPEAKER_03
transcript.pyannote[2088].start 11121.97221875
transcript.pyannote[2088].end 11124.40221875
transcript.pyannote[2089].speaker SPEAKER_03
transcript.pyannote[2089].start 11124.82409375
transcript.pyannote[2089].end 11131.72596875
transcript.pyannote[2090].speaker SPEAKER_19
transcript.pyannote[2090].start 11131.72596875
transcript.pyannote[2090].end 11146.33971875
transcript.pyannote[2091].speaker SPEAKER_03
transcript.pyannote[2091].start 11131.75971875
transcript.pyannote[2091].end 11132.70471875
transcript.pyannote[2092].speaker SPEAKER_03
transcript.pyannote[2092].start 11135.80971875
transcript.pyannote[2092].end 11136.28221875
transcript.pyannote[2093].speaker SPEAKER_00
transcript.pyannote[2093].start 11137.42971875
transcript.pyannote[2093].end 11137.95284375
transcript.pyannote[2094].speaker SPEAKER_19
transcript.pyannote[2094].start 11146.93034375
transcript.pyannote[2094].end 11184.98346875
transcript.pyannote[2095].speaker SPEAKER_14
transcript.pyannote[2095].start 11183.09346875
transcript.pyannote[2095].end 11186.38409375
transcript.pyannote[2096].speaker SPEAKER_20
transcript.pyannote[2096].start 11186.70471875
transcript.pyannote[2096].end 11188.27409375
transcript.pyannote[2097].speaker SPEAKER_20
transcript.pyannote[2097].start 11189.23596875
transcript.pyannote[2097].end 11191.07534375
transcript.pyannote[2098].speaker SPEAKER_02
transcript.pyannote[2098].start 11195.88471875
transcript.pyannote[2098].end 11197.70721875
transcript.pyannote[2099].speaker SPEAKER_20
transcript.pyannote[2099].start 11198.93909375
transcript.pyannote[2099].end 11200.22159375
transcript.pyannote[2100].speaker SPEAKER_02
transcript.pyannote[2100].start 11204.20409375
transcript.pyannote[2100].end 11207.76471875
transcript.pyannote[2101].speaker SPEAKER_02
transcript.pyannote[2101].start 11208.05159375
transcript.pyannote[2101].end 11215.88159375
transcript.pyannote[2102].speaker SPEAKER_02
transcript.pyannote[2102].start 11216.43846875
transcript.pyannote[2102].end 11217.48471875
transcript.pyannote[2103].speaker SPEAKER_14
transcript.pyannote[2103].start 11218.26096875
transcript.pyannote[2103].end 11222.20971875
transcript.pyannote[2104].speaker SPEAKER_02
transcript.pyannote[2104].start 11221.77096875
transcript.pyannote[2104].end 11222.14221875
transcript.pyannote[2105].speaker SPEAKER_02
transcript.pyannote[2105].start 11222.20971875
transcript.pyannote[2105].end 11224.03221875
transcript.pyannote[2106].speaker SPEAKER_14
transcript.pyannote[2106].start 11224.40346875
transcript.pyannote[2106].end 11227.03596875
transcript.pyannote[2107].speaker SPEAKER_02
transcript.pyannote[2107].start 11227.03596875
transcript.pyannote[2107].end 11227.05284375
transcript.pyannote[2108].speaker SPEAKER_14
transcript.pyannote[2108].start 11227.05284375
transcript.pyannote[2108].end 11227.15409375
transcript.pyannote[2109].speaker SPEAKER_02
transcript.pyannote[2109].start 11227.57596875
transcript.pyannote[2109].end 11238.91596875
transcript.pyannote[2110].speaker SPEAKER_14
transcript.pyannote[2110].start 11228.21721875
transcript.pyannote[2110].end 11229.11159375
transcript.pyannote[2111].speaker SPEAKER_14
transcript.pyannote[2111].start 11238.91596875
transcript.pyannote[2111].end 11238.94971875
transcript.pyannote[2112].speaker SPEAKER_02
transcript.pyannote[2112].start 11239.96221875
transcript.pyannote[2112].end 11239.97909375
transcript.pyannote[2113].speaker SPEAKER_14
transcript.pyannote[2113].start 11239.97909375
transcript.pyannote[2113].end 11252.21346875
transcript.pyannote[2114].speaker SPEAKER_02
transcript.pyannote[2114].start 11252.21346875
transcript.pyannote[2114].end 11274.65721875
transcript.pyannote[2115].speaker SPEAKER_02
transcript.pyannote[2115].start 11275.24784375
transcript.pyannote[2115].end 11278.11659375
transcript.pyannote[2116].speaker SPEAKER_02
transcript.pyannote[2116].start 11278.16721875
transcript.pyannote[2116].end 11289.13596875
transcript.pyannote[2117].speaker SPEAKER_02
transcript.pyannote[2117].start 11289.57471875
transcript.pyannote[2117].end 11300.05409375
transcript.pyannote[2118].speaker SPEAKER_02
transcript.pyannote[2118].start 11300.30721875
transcript.pyannote[2118].end 11307.93471875
transcript.pyannote[2119].speaker SPEAKER_02
transcript.pyannote[2119].start 11308.13721875
transcript.pyannote[2119].end 11313.75659375
transcript.pyannote[2120].speaker SPEAKER_02
transcript.pyannote[2120].start 11314.17846875
transcript.pyannote[2120].end 11317.06409375
transcript.pyannote[2121].speaker SPEAKER_02
transcript.pyannote[2121].start 11317.21596875
transcript.pyannote[2121].end 11322.29534375
transcript.pyannote[2122].speaker SPEAKER_02
transcript.pyannote[2122].start 11322.54846875
transcript.pyannote[2122].end 11328.91034375
transcript.pyannote[2123].speaker SPEAKER_02
transcript.pyannote[2123].start 11329.41659375
transcript.pyannote[2123].end 11339.10284375
transcript.pyannote[2124].speaker SPEAKER_02
transcript.pyannote[2124].start 11339.54159375
transcript.pyannote[2124].end 11346.30846875
transcript.pyannote[2125].speaker SPEAKER_02
transcript.pyannote[2125].start 11347.10159375
transcript.pyannote[2125].end 11352.01221875
transcript.pyannote[2126].speaker SPEAKER_02
transcript.pyannote[2126].start 11352.68721875
transcript.pyannote[2126].end 11354.74596875
transcript.pyannote[2127].speaker SPEAKER_14
transcript.pyannote[2127].start 11353.10909375
transcript.pyannote[2127].end 11355.06659375
transcript.pyannote[2128].speaker SPEAKER_02
transcript.pyannote[2128].start 11355.16784375
transcript.pyannote[2128].end 11379.75471875
transcript.pyannote[2129].speaker SPEAKER_02
transcript.pyannote[2129].start 11379.94034375
transcript.pyannote[2129].end 11381.71221875
transcript.pyannote[2130].speaker SPEAKER_02
transcript.pyannote[2130].start 11382.11721875
transcript.pyannote[2130].end 11384.88471875
transcript.pyannote[2131].speaker SPEAKER_02
transcript.pyannote[2131].start 11385.22221875
transcript.pyannote[2131].end 11391.11159375
transcript.pyannote[2132].speaker SPEAKER_02
transcript.pyannote[2132].start 11391.34784375
transcript.pyannote[2132].end 11392.32659375
transcript.pyannote[2133].speaker SPEAKER_02
transcript.pyannote[2133].start 11392.69784375
transcript.pyannote[2133].end 11396.17409375
transcript.pyannote[2134].speaker SPEAKER_02
transcript.pyannote[2134].start 11396.49471875
transcript.pyannote[2134].end 11421.45284375
transcript.pyannote[2135].speaker SPEAKER_02
transcript.pyannote[2135].start 11421.79034375
transcript.pyannote[2135].end 11447.76096875
transcript.pyannote[2136].speaker SPEAKER_02
transcript.pyannote[2136].start 11448.08159375
transcript.pyannote[2136].end 11456.82284375
transcript.pyannote[2137].speaker SPEAKER_14
transcript.pyannote[2137].start 11456.82284375
transcript.pyannote[2137].end 11456.83971875
transcript.pyannote[2138].speaker SPEAKER_14
transcript.pyannote[2138].start 11457.24471875
transcript.pyannote[2138].end 11469.47909375
transcript.pyannote[2139].speaker SPEAKER_02
transcript.pyannote[2139].start 11466.99846875
transcript.pyannote[2139].end 11470.28909375
transcript.pyannote[2140].speaker SPEAKER_02
transcript.pyannote[2140].start 11470.89659375
transcript.pyannote[2140].end 11497.82909375
transcript.pyannote[2141].speaker SPEAKER_14
transcript.pyannote[2141].start 11472.21284375
transcript.pyannote[2141].end 11472.63471875
transcript.pyannote[2142].speaker SPEAKER_00
transcript.pyannote[2142].start 11474.18721875
transcript.pyannote[2142].end 11474.22096875
transcript.pyannote[2143].speaker SPEAKER_14
transcript.pyannote[2143].start 11474.22096875
transcript.pyannote[2143].end 11474.50784375
transcript.pyannote[2144].speaker SPEAKER_00
transcript.pyannote[2144].start 11474.50784375
transcript.pyannote[2144].end 11474.59221875
transcript.pyannote[2145].speaker SPEAKER_14
transcript.pyannote[2145].start 11487.23159375
transcript.pyannote[2145].end 11488.96971875
transcript.pyannote[2146].speaker SPEAKER_14
transcript.pyannote[2146].start 11489.71221875
transcript.pyannote[2146].end 11494.04909375
transcript.pyannote[2147].speaker SPEAKER_14
transcript.pyannote[2147].start 11497.00221875
transcript.pyannote[2147].end 11502.18284375
transcript.pyannote[2148].speaker SPEAKER_12
transcript.pyannote[2148].start 11503.31346875
transcript.pyannote[2148].end 11503.65096875
transcript.pyannote[2149].speaker SPEAKER_02
transcript.pyannote[2149].start 11503.53284375
transcript.pyannote[2149].end 11503.97159375
transcript.pyannote[2150].speaker SPEAKER_14
transcript.pyannote[2150].start 11503.65096875
transcript.pyannote[2150].end 11503.70159375
transcript.pyannote[2151].speaker SPEAKER_14
transcript.pyannote[2151].start 11503.97159375
transcript.pyannote[2151].end 11504.03909375
transcript.pyannote[2152].speaker SPEAKER_02
transcript.pyannote[2152].start 11504.03909375
transcript.pyannote[2152].end 11506.04721875
transcript.pyannote[2153].speaker SPEAKER_12
transcript.pyannote[2153].start 11505.97971875
transcript.pyannote[2153].end 11517.43784375
transcript.pyannote[2154].speaker SPEAKER_14
transcript.pyannote[2154].start 11506.04721875
transcript.pyannote[2154].end 11506.09784375
transcript.pyannote[2155].speaker SPEAKER_02
transcript.pyannote[2155].start 11516.77971875
transcript.pyannote[2155].end 11518.48409375
transcript.pyannote[2156].speaker SPEAKER_12
transcript.pyannote[2156].start 11517.99471875
transcript.pyannote[2156].end 11520.47534375
transcript.pyannote[2157].speaker SPEAKER_12
transcript.pyannote[2157].start 11520.84659375
transcript.pyannote[2157].end 11570.99909375
transcript.pyannote[2158].speaker SPEAKER_18
transcript.pyannote[2158].start 11539.22346875
transcript.pyannote[2158].end 11539.39221875
transcript.pyannote[2159].speaker SPEAKER_02
transcript.pyannote[2159].start 11570.72909375
transcript.pyannote[2159].end 11577.79971875
transcript.pyannote[2160].speaker SPEAKER_02
transcript.pyannote[2160].start 11578.12034375
transcript.pyannote[2160].end 11591.70471875
transcript.pyannote[2161].speaker SPEAKER_16
transcript.pyannote[2161].start 11581.02284375
transcript.pyannote[2161].end 11581.37721875
transcript.pyannote[2162].speaker SPEAKER_12
transcript.pyannote[2162].start 11582.69346875
transcript.pyannote[2162].end 11582.74409375
transcript.pyannote[2163].speaker SPEAKER_12
transcript.pyannote[2163].start 11589.29159375
transcript.pyannote[2163].end 11604.56346875
transcript.pyannote[2164].speaker SPEAKER_02
transcript.pyannote[2164].start 11603.43284375
transcript.pyannote[2164].end 11614.16534375
transcript.pyannote[2165].speaker SPEAKER_12
transcript.pyannote[2165].start 11613.10221875
transcript.pyannote[2165].end 11627.04096875
transcript.pyannote[2166].speaker SPEAKER_02
transcript.pyannote[2166].start 11626.18034375
transcript.pyannote[2166].end 11637.18284375
transcript.pyannote[2167].speaker SPEAKER_02
transcript.pyannote[2167].start 11637.60471875
transcript.pyannote[2167].end 11640.15284375
transcript.pyannote[2168].speaker SPEAKER_02
transcript.pyannote[2168].start 11640.49034375
transcript.pyannote[2168].end 11644.64159375
transcript.pyannote[2169].speaker SPEAKER_02
transcript.pyannote[2169].start 11645.46846875
transcript.pyannote[2169].end 11645.77221875
transcript.pyannote[2170].speaker SPEAKER_02
transcript.pyannote[2170].start 11646.21096875
transcript.pyannote[2170].end 11655.20534375
transcript.pyannote[2171].speaker SPEAKER_12
transcript.pyannote[2171].start 11651.83034375
transcript.pyannote[2171].end 11657.97284375
transcript.pyannote[2172].speaker SPEAKER_02
transcript.pyannote[2172].start 11657.97284375
transcript.pyannote[2172].end 11664.11534375
transcript.pyannote[2173].speaker SPEAKER_02
transcript.pyannote[2173].start 11664.40221875
transcript.pyannote[2173].end 11675.79284375
transcript.pyannote[2174].speaker SPEAKER_12
transcript.pyannote[2174].start 11676.33284375
transcript.pyannote[2174].end 11681.34471875
transcript.pyannote[2175].speaker SPEAKER_02
transcript.pyannote[2175].start 11676.36659375
transcript.pyannote[2175].end 11677.19346875
transcript.pyannote[2176].speaker SPEAKER_12
transcript.pyannote[2176].start 11681.41221875
transcript.pyannote[2176].end 11681.83409375
transcript.pyannote[2177].speaker SPEAKER_20
transcript.pyannote[2177].start 11681.76659375
transcript.pyannote[2177].end 11689.52909375
transcript.pyannote[2178].speaker SPEAKER_12
transcript.pyannote[2178].start 11681.86784375
transcript.pyannote[2178].end 11681.96909375
transcript.pyannote[2179].speaker SPEAKER_14
transcript.pyannote[2179].start 11685.34409375
transcript.pyannote[2179].end 11685.64784375
transcript.pyannote[2180].speaker SPEAKER_20
transcript.pyannote[2180].start 11690.01846875
transcript.pyannote[2180].end 11706.01596875
transcript.pyannote[2181].speaker SPEAKER_20
transcript.pyannote[2181].start 11706.55596875
transcript.pyannote[2181].end 11724.15659375
transcript.pyannote[2182].speaker SPEAKER_20
transcript.pyannote[2182].start 11724.66284375
transcript.pyannote[2182].end 11726.09721875
transcript.whisperx[0].start 1457.386
transcript.whisperx[0].end 1480.542
transcript.whisperx[0].text 好,我們請主秘報告出席委員人數報告委員會出席委員與主法定人數好,我們現在開始開會請議事人員宣讀今日議程邀請財政部莊部長翠雲就資安疑慮頻傳.如何強化財稅機關及公股行庫資安防護與區域聯防.進行專題報告.並備質詢。)宣傳並
transcript.whisperx[1].start 1483.919
transcript.whisperx[1].end 1512.432
transcript.whisperx[1].text 好,我們介紹今天在場的委員跟各位官員首先介紹我們吳秉瑞委員財政部張翠雲部長國庫署蕭署長賦稅署宋署長官務署彭署長
transcript.whisperx[2].start 1515.643
transcript.whisperx[2].end 1529.706
transcript.whisperx[2].text 國產署曾署長財政資訊中心張主任臺灣清控沈董事長魏總經理臺灣銀行呂董事長臺灣人壽張董事長劉總經理
transcript.whisperx[3].start 1547.759
transcript.whisperx[3].end 1571.344
transcript.whisperx[3].text 臺銀綜合證券許董事長謝總經理臺銀綜合保險經紀人股份有限公司歐董事長何總經理土銀謝董事長何總經理
transcript.whisperx[4].start 1573.959
transcript.whisperx[4].end 1584.381
transcript.whisperx[4].text 中國輸出銀行 今天是戴總經理趙鋒雷董事長 蕭總經理趙鋒商營總經理
transcript.whisperx[5].start 1605.713
transcript.whisperx[5].end 1626.662
transcript.whisperx[5].text 第一銀行第一金控這個邱董事長陳總經理第一商營李總經理華南金控張董事長李總經理華銀黃總經理核庫董董事長
transcript.whisperx[6].start 1638.248
transcript.whisperx[6].end 1654.433
transcript.whisperx[6].text 陳總經理 俄庫銀行林董事長 蘇總經理 彰化商營林董事長 周總經理 鍾曉慶張總經理
transcript.whisperx[7].start 1662.585
transcript.whisperx[7].end 1664.486
transcript.whisperx[7].text 主席各位委員先進大家好今天貴委員會安排本部就
transcript.whisperx[8].start 1690.232
transcript.whisperx[8].end 1692.037
transcript.whisperx[8].text 資安疑慮頻傳.如何強化財稅機關及公股行庫資安防護與區域聯防.進行專題報告
transcript.whisperx[9].start 1698.566
transcript.whisperx[9].end 1713.736
transcript.whisperx[9].text 請報告如下 敬請指教首先就財稅機關的資安部分做報告各個財稅機關除了要嚴格遵守《資通安全管理法》還有相關的執法規辦理各項資通安全的防護機制之外我們財稅系統的網路環境是採取內外網實體隔離那麼可以降低資料外洩還有資安攻擊的風險
transcript.whisperx[10].start 1722.102
transcript.whisperx[10].end 1730.505
transcript.whisperx[10].text 那麼另外在於資安防護措施部分第一個就是我們110年已經建置了整合性的資安監控中心我們24小時即時的監控以及資安的預警第二個是採取多層次眾生防護網路的架構
transcript.whisperx[11].start 1738.047
transcript.whisperx[11].end 1761.403
transcript.whisperx[11].text 並且根據行政院的政策在110年完成建制資安落點通報以及端點的防護機制。第三個對於不同業務屬性人員我們建立分權的機制嚴格控管高權賬號及限定權限的使用地點。第四個我們在105年成立的資安建檢以及數位建設團隊定期辦理財稅系統的落點掃描、滲透、測試以及資安的見證。
transcript.whisperx[12].start 1768.127
transcript.whisperx[12].end 1785.507
transcript.whisperx[12].text 第五,對於我們不使用中國大陸廠牌的資通訊設備,委外廠商也不得有大陸籍的人士,避免資料的外洩。第六,我們每年定期辦理分散式阻斷攻擊的防護、攻防演練,因應分散式阻斷攻擊癱瘓對外的服務網站。
transcript.whisperx[13].start 1789.603
transcript.whisperx[13].end 1794.887
transcript.whisperx[13].text 7.112年9月辦理稅務系統紅隊演練檢測系統防護措施8.
transcript.whisperx[14].start 1794.887
transcript.whisperx[14].end 1803.613
transcript.whisperx[14].text 建構本部支通安全威脅偵測管理機制提供政府領域聯防監控中心本部的監控管理資料
transcript.whisperx[15].start 1804.153
transcript.whisperx[15].end 1831.452
transcript.whisperx[15].text 建立情資回傳還有情資分享的機制形成一個資安聯防的體系第二個部分就是公股行庫資安防護以及區域聯防的部分我們公股銀行都設置副總經理以上的資訊安全長提升資安議題的執行能力定期進行防害演練並配合強化資通安全的機制他包括了事前的聯防演練定期進行防害演練作業
transcript.whisperx[16].start 1832.733
transcript.whisperx[16].end 1849.967
transcript.whisperx[16].text 與或者是參與主管機關、金管會以及行政院合辦或者是自己辦的資安演練以檢視系統的安全性防禦的有效性還有管理制度的落實性第二個在事中的通報應變部分我們建置多層次的防禦架構
transcript.whisperx[17].start 1851.849
transcript.whisperx[17].end 1864.062
transcript.whisperx[17].text 偵測與攔阻惡意城市與網路威脅.搭配DDoS流量清洗防護的措施.並設置備援系統提升對外服務系統的韌性.第三個就是事後資訊的共享.
transcript.whisperx[18].start 1865.205
transcript.whisperx[18].end 1889.795
transcript.whisperx[18].text 把資安警訊的態樣分享到金融資安資訊分享與分析中心那麼透過資安聯防分析以及回饋強化聯防監控體系以及資安的聯防功能本部將配合數位發展部的資通安全政策以及國家發展委員會的政策會持續強化資通安全管理以及各支的保護措施並且根據督導
transcript.whisperx[19].start 1890.495
transcript.whisperx[19].end 1890.775
transcript.whisperx[19].text 好,謝謝莊部長
transcript.whisperx[20].start 1910.286
transcript.whisperx[20].end 1933.954
transcript.whisperx[20].text 現在開始尋答做以下的宣告每位初期委員發言時間8分鐘必要得延長2分鐘每位列席委員發言時間5分鐘必要得延長1分鐘今日上午10點截止發言登記現在我們請林德副委員稍微等一下
transcript.whisperx[21].start 1941.775
transcript.whisperx[21].end 1941.795
transcript.whisperx[21].text 阿賴賴賴賴賴
transcript.whisperx[22].start 1982.31
transcript.whisperx[22].end 2008.41
transcript.whisperx[22].text 謝謝主席還有莊部長與會各列席銀行的董事長總經理還有各位同仁是不是請那個莊部長莊部長委員長那個部長因為近期很多券商他們在整個交易系統裡面也爆出一些異常
transcript.whisperx[23].start 2010.495
transcript.whisperx[23].end 2034.131
transcript.whisperx[23].text 那這回資安的專題報告是針對財稅機關與公股行庫這個不知道近期是否也有遇到這些網路攻擊的事件有沒有跟委員報告我想網路的攻擊難免會有發生但是我們的公股行庫還有我們的財稅中心在我們的資安防護上是做到
transcript.whisperx[24].start 2035.573
transcript.whisperx[24].end 2063.639
transcript.whisperx[24].text 嚴密,然後能夠阻擋,就先做阻擋。我想這個部分,我們必須要把它當作一個最高的警覺性,然後來做處理。這樣子喔?是。我認為這個很重要。是,當然非常重要。然後我們的相關的防護措施在我們的書面報告裡面也都做,因為要有一些示警。那示警出現了以後,我們要盡快的去做一些處理。那讓這個事情不要影響到我們整個系統的正常運作以及資料的安全。
transcript.whisperx[25].start 2065.542
transcript.whisperx[25].end 2071.131
transcript.whisperx[25].text 部長我再請教因為台青院30日公布10月的製造業景氣燈號
transcript.whisperx[26].start 2072.918
transcript.whisperx[26].end 2094.051
transcript.whisperx[26].text 亮出了連續四顆黃藍燈那臺經院預測中心表示展望未來整個國內製造業景氣現階段已出現了回溫的這些跡象再加上第四季整個年中這個假期消費的旺季也帶來一些這個
transcript.whisperx[27].start 2096.601
transcript.whisperx[27].end 2121.769
transcript.whisperx[27].text 被獲的需求等等有利的因素下.可望維繫整個國內製造業生產的動能那部長先前您在9月出口先前9月出口的388.1億美元中止了12個月的衰退那當時財政部已預告9月歡紅恐是是曇花一現
transcript.whisperx[28].start 2123.61
transcript.whisperx[28].end 2143.707
transcript.whisperx[28].text 那10月恐怕因這個基期的因素再次轉為負成長那對於緊急護書仍是存在有一些疑慮那部長媒體報導臺經驗表示製造業回溫代表有揮別谷底的這些跡象那請問你怎麼來看這個事情
transcript.whisperx[29].start 2144.944
transcript.whisperx[29].end 2155.138
transcript.whisperx[29].text 跟委員報告9月份的我們的出口由衰退轉為正成長那我覺得這是一個很好的現象那10月份我們的出口也有381億但是因為去年達到399億所以算是一個高基期所以是負成長
transcript.whisperx[30].start 2160.945
transcript.whisperx[30].end 2168.331
transcript.whisperx[30].text 其實說那個衰退的幅度已經縮小了那另外也要跟委員報告其實今年的出口1到10月總計有3551億的美元我們預估今年也會突破4000億的美元的一個出口值那在史上來說算是最高的因為2021跟2022是最高因為在疫情期間因為我們的製造業都沒有停
transcript.whisperx[31].start 2184.125
transcript.whisperx[31].end 2194.43
transcript.whisperx[31].text 然後我們的一個資通訊正好在那當時遠距的一個上班跟教學的一個需求所以我們的出口值非常旺都達到4464跟2022年的4794億美元是非常高所以今年也會突破4000億那11月剛剛如同委員剛剛所說的跟12月因為年底的一個備貨的需求以及新科技的一個
transcript.whisperx[32].start 2208.038
transcript.whisperx[32].end 2208.698
transcript.whisperx[32].text 請問你認為景氣即將揮別谷底嗎
transcript.whisperx[33].start 2226.542
transcript.whisperx[33].end 2246.723
transcript.whisperx[33].text 這個部分當然大家都各方面都有一些正面的一些看法但是我們也認為可以做審慎樂觀的看待但是我想國際間仍然有一些不確定的因素包括通膨升息的一些循環的一些後續的一些影響以及地緣政治的一些風險會不會有相關的我覺得還是要密切的一些關注
transcript.whisperx[34].start 2247.484
transcript.whisperx[34].end 2269.262
transcript.whisperx[34].text 是不是有可能像9月10月這種狀況又是只有曇花一現經濟景氣又緩轉會不會跟委員報告就跟您剛剛報告也就是不是曇花一現是因為10月份因為去年的基期399億是非常高的所以我們雖然10月份的出口有381億但是還是成年增率上面是成了一個負成長是那個部長是
transcript.whisperx[35].start 2270.463
transcript.whisperx[35].end 2286.708
transcript.whisperx[35].text 經濟合作發展組織上個禮拜公布最新的經濟展望由於債務水準較高而且利率的這些展望仍不明朗那全球明年經濟成長預料將稍有緩緩但避開硬著陸的風險不長上個禮拜財委會質詢的時候本席有針對
transcript.whisperx[36].start 2295.731
transcript.whisperx[36].end 2318.302
transcript.whisperx[36].text 這個財政部認為出口黎明將至那你認為會不會有太過熱觀跟委員報告因為剛剛如同剛剛報告的其實今年我們的出口會突破4000億也是史上的第三高除了2021跟2022年最高以外我們會突破到4000億那已經比之前的幾年因為從
transcript.whisperx[37].start 2319.142
transcript.whisperx[37].end 2319.842
transcript.whisperx[37].text 你那時候回答本席是11、12月出口,渴望轉正
transcript.whisperx[38].start 2339.929
transcript.whisperx[38].end 2347.031
transcript.whisperx[38].text 請問你認為第4季的出口轉正可以樂觀期待的原因是不是因為你認為第4季是國內經濟成長已經確定的一個股體翻轉
transcript.whisperx[39].start 2352.938
transcript.whisperx[39].end 2381.012
transcript.whisperx[39].text 是不是第4屆我想跟委員報告就是在國內的部分民間的消費是持續的成長不管零售業或者是餐飲這些營業額都是持續成長所以國內的消費動能是穩定的那至於出口的部分我們剛剛也已經說過就是說因年底的部分因為科技新貨的一些備貨以及AI還有雲端需求的一些等等需要的一些我們的一些產品所以在出口值的部分可以
transcript.whisperx[40].start 2382.453
transcript.whisperx[40].end 2386.636
transcript.whisperx[40].text 對於第4屆的出國轉正的看法,針對OECD對明年整個全球經濟成長緩緩的預測,請問你認為明年開始台灣會不會也有這些經濟成長緩緩的餘力存在,會不會?
transcript.whisperx[41].start 2404.349
transcript.whisperx[41].end 2413.034
transcript.whisperx[41].text 有關國內的經濟成長,我們組織總署會綜合國內外的最新經濟情勢做一個案記的發佈的展望,這個組總這個部分會去做他們有相關的資料收集跟有一定的專業人員在那邊做預測那所以呢根據組總11月的他所發佈的就是說今年的經濟成長率會是1.42,但是明年他們的估測是3.35的百分比部長
transcript.whisperx[42].start 2431.405
transcript.whisperx[42].end 2453.4
transcript.whisperx[42].text 因為以OECD的預估美國和其他地區啊陷入硬著陸的這個風險緩解不過由於這個黃式的疲軟油價的高漲和民間融資的情況欠佳那經濟衰退的風險仍然沒有消失所以預測美國明年的經濟成長率將從今年的2.4%明顯的降至1.5%那部長
transcript.whisperx[43].start 2460.925
transcript.whisperx[43].end 2484.364
transcript.whisperx[43].text 因為根據財政部的統計7月臺灣對美國出口的佔總總額是17.4%創下近10年來單月的新高那請問如果明年整個美國經濟成長成長率如OECD預測一樣的衰退你認為臺灣出口會不會受到美國的影響會不會
transcript.whisperx[44].start 2486.677
transcript.whisperx[44].end 2505.955
transcript.whisperx[44].text 委員報告我想這個出口除了美國以外我們主計總署也綜合考量其他的主要經濟體還有全球的一個成長率那另外也考量到我們的產業他在庫存回復健康情況下那世界貿易的成長率貿易量的成長率可以渴望是可以回升的加上我們有人工
transcript.whisperx[45].start 2506.015
transcript.whisperx[45].end 2509.097
transcript.whisperx[45].text 財政部對出口黎明將至的這些樂觀期待會不會變成又要保守的觀望會不會跟委員報告第一我們採取我們是以審慎樂觀但是還是要密切的一些關注
transcript.whisperx[46].start 2536.271
transcript.whisperx[46].end 2553.38
transcript.whisperx[46].text 部長,上個月美國財政部把台灣列入最新的匯率操縱國觀察的名單,但是隨著美國聯準會割派的言論,外資放量大幅度的匯率下,
transcript.whisperx[47].start 2554.543
transcript.whisperx[47].end 2574.815
transcript.whisperx[47].text 新台幣對美元不斷的狂漲後續疫料持續生生不息甚至不排除一舉衝破31元的整個大關請問部長近期新台幣的升值對出口與進口商
transcript.whisperx[48].start 2575.615
transcript.whisperx[48].end 2582.68
transcript.whisperx[48].text 到底有什麼影響我想跟委員報告就是說出口當然也受到新台幣的匯率影響之外當然還有其他很多項因素的影響包含市場的供需狀況還有個別廠商我們出口廠商的競爭力還有產品的品質還有客戶的合作關係這些都會影響到我們的出口值那個別廠商的差異性也比較大所以不能概括而論那我想對於匯率的一個調整對於我們出口廠商的影響
transcript.whisperx[49].start 2604.915
transcript.whisperx[49].end 2610.676
transcript.whisperx[49].text 以及提供要不要提供相關的輔導那主管機關經濟部應該會做一些密切的關注同時如果需要的話他也會應該也會對產業去做相關的輔導其實最近那個經濟部對於我們的產業做低碳化以及智慧化的一個轉型升級一直在加強的輔導也是希望在這個景氣能夠回穩的時候我們的企業能夠有一個成長的一個動能可以做更好的一些發展
transcript.whisperx[50].start 2634.722
transcript.whisperx[50].end 2635.122
transcript.whisperx[50].text 那我請問部長
transcript.whisperx[51].start 2663.032
transcript.whisperx[51].end 2690.524
transcript.whisperx[51].text 出口商對於新台幣升值可能產生的匯損的因應對策是不是都有萬全的準備這個部分因為第一個匯率的部分涉及到央行的一個權責以及出口商在面對匯率的變動的時候他有沒有因應的對策以及經濟部會要採取什麼樣的相關的協助或者是輔導的措施這個部分都會要去考慮的
transcript.whisperx[52].start 2691.264
transcript.whisperx[52].end 2706.997
transcript.whisperx[52].text 為了平仰物價財政部宣布明年大宗物資降稅措施在延長再加上新台幣升值的趨勢那請問你認為對國內整個進口商是不是利多會不會反映在明年整個消費者物價指數上
transcript.whisperx[53].start 2708.678
transcript.whisperx[53].end 2720.802
transcript.whisperx[53].text 財政部在有關降低所謂的關稅、貨物稅還有營業稅這些大宗物資還有汽柴油的一些稅的部分目的就是希望能夠減緩進口商的一個成本的壓力那我們也希望對於這些減稅的措施能夠反映在售價上讓民眾可以感受到
transcript.whisperx[54].start 2729.284
transcript.whisperx[54].end 2732.365
transcript.whisperx[54].text 那這個是部分延長到明年的3月31號這個部分的國稅局還有我們的關區的同仁們會去持續和相關的機關去做一些查價不要變成一些囤積的情形這個部分我們會持續的關注我想降稅這個措施就是要緩和物價的一個上升的措施
transcript.whisperx[55].start 2757.409
transcript.whisperx[55].end 2758.17
transcript.whisperx[55].text 吳秉瑞委員財政部莊部長
transcript.whisperx[56].start 2782.867
transcript.whisperx[56].end 2807.493
transcript.whisperx[56].text 委員好部長早在去年的9月還有今年的5到7月國內有一家銀行當然是民營的啦他的65家分行都發生資料外洩有14000名客戶的資料外洩被金管會罰了1000萬這個事情你應該知道吧
transcript.whisperx[57].start 2811.793
transcript.whisperx[57].end 2830.742
transcript.whisperx[57].text 我們公股銀行有沒有這樣的資料外泄的可能以及有沒有發生這樣的案例或許規模沒有這麼大比較小規模的有沒有我們公股銀行我們大概了解就是說有一些資安的通報的事項但是就相關的
transcript.whisperx[58].start 2831.442
transcript.whisperx[58].end 2833.483
transcript.whisperx[58].text 所以還是有一些發生只是他的狀況可能洩漏少數的人士而不是像這樣大規模
transcript.whisperx[59].start 2860.155
transcript.whisperx[59].end 2884.213
transcript.whisperx[59].text 在發聲我覺得一定要做一些檢討作為精進的一個警示的一個功能這個本身是資訊安全但是另外一點就是現在的詐騙的犯罪很多那詐騙的犯罪裡面有很多是透過銀行的這個系統當然銀行不是不知情那銀行其實某一個角度來講也是被害
transcript.whisperx[60].start 2885.287
transcript.whisperx[60].end 2904.16
transcript.whisperx[60].text 但是如何配合政府的設施用銀行的角度來講能夠讓詐騙的這個狀況能夠減少呢或是讓詐騙犯他這個轉帳各方面不方便使得他不能再利用這樣的體系至少去壓抑他有沒有什麼樣比較好的方法
transcript.whisperx[61].start 2904.88
transcript.whisperx[61].end 2916.507
transcript.whisperx[61].text 我想委員提出的很對,這個部分因為通常詐騙有時候跟金流會有關係,所以我們在銀行端一定要做到一個防詐、試詐的一個發揮這個作用,所以在客戶開戶的時候要詳細了解他開戶的目的是什麼,以及他賬戶未來的用途是什麼,對於開戶者要多加了解。
transcript.whisperx[62].start 2924.531
transcript.whisperx[62].end 2939.41
transcript.whisperx[62].text 第2個就是說對於一些警示的帳戶要有警覺性一定要做處理同時我們要配合金管會的相關措施以及所謂的一個揮名單就是約定轉帳的揮名單也要有非常重要的一個處理還有櫃員非常重要
transcript.whisperx[63].start 2939.83
transcript.whisperx[63].end 2944.412
transcript.whisperx[63].text 貴賓對於客戶的時候可以多問幾句那如果在這個過程當中因為貴賓的關懷所以讓這個詐騙沒有辦法進行下去我們對於這個貴賓應該要加強的管這個獎勵然後能夠讓其他的行員也都知道那我們把案例也要做分享
transcript.whisperx[64].start 2957.338
transcript.whisperx[64].end 2969.651
transcript.whisperx[64].text 那這樣大家可以多做學習然後更精進我想這個部分銀行是絕對是責無旁貸一起來做這個工作有沒有統計過經過採取這樣的措施之後詐騙這個數量有降低了這樣的一個趨勢就是說發現了多少詐騙的減少多少這個部分的數字是不是沒有統計目前我們還沒有統計
transcript.whisperx[65].start 2980.122
transcript.whisperx[65].end 3008.706
transcript.whisperx[65].text 11月29號你們財政部也有發現說有用釣魚的電子郵件假冒這個報稅服務然後叫退稅然後點那個系統進去有發現這樣子的案例所以這個也是一種另外一種詐騙那是利用這個報稅或是要退稅這樣的這樣的機會在詐欺這些客戶這個你有沒有什麼樣的好的宣傳因為其實一般的民眾尤其年紀稍大一點的他搞不清楚這些網站到底是誰的網站
transcript.whisperx[66].start 3010.829
transcript.whisperx[66].end 3033.638
transcript.whisperx[66].text 這個部分發現了我們一定都有相關的處理然後截止但我想你委員這個提示是就是說我們要做什麼宣導也就是第一個宣導的目的是讓民眾不要再受騙第二個目的其實就讓這些詐騙者不要存僥倖的心理因為我們會抓得到因為我們是24小時在監控你這些偉貌的網站及釣魚網站我覺得這個具有兩方面的功能我們應該再加強這個宣導
transcript.whisperx[67].start 3035.759
transcript.whisperx[67].end 3037.92
transcript.whisperx[67].text 其實這個議題是本席從12年前到現在還是持續一直在關心的就是曝險的問題
transcript.whisperx[68].start 3064.4
transcript.whisperx[68].end 3083.762
transcript.whisperx[68].text 你知道中國的這個中融信託最近爆了你知道嗎他的那個基金還有利息賠付不出來那中融信託當然規模比較小但是他是一個非常大的金融機構中子集團底下的議員這個
transcript.whisperx[69].start 3086.55
transcript.whisperx[69].end 3107.222
transcript.whisperx[69].text 因為這個中子集團做了很多中國的房貸那在中國做房貸你就說中國現在那些房子那個房子都很慘嘛爛尾樓也蓋不完各方面都很慘包括恆大啦包括碧桂園啊等等很多個大型的這個房屋的房企
transcript.whisperx[70].start 3108.505
transcript.whisperx[70].end 3108.525
transcript.whisperx[70].text 韓國瑜
transcript.whisperx[71].start 3128.649
transcript.whisperx[71].end 3155.052
transcript.whisperx[71].text 我們公股銀行9家公股銀行對中國的撲選持續減少我這個是很肯定就算持續減少現在仍然還有2000多億還不包括這個沒有被金管會監管的影子銀行這些租賃公司那中國的經濟他的財政明顯在很快速的要出問題在這樣的狀況之下有什麼好的方法讓我們這個撲選不會變成暴雷
transcript.whisperx[72].start 3157.984
transcript.whisperx[72].end 3180.639
transcript.whisperx[72].text 您有沒有什麼樣的想法?是,跟委員報告,確實在大陸曝險的部分,我們逐年下降,目前是2143億,那佔比是12%,就是佔它的淨值比。那剛剛您提到大陸的一些經濟成長趨緩,甚至在不動產的部分,碧桂園等等的一些暴雷的情形,當然銀行都會有受到牽連。那有關,我們講,我們會持續的督請我們的公股,
transcript.whisperx[73].start 3183.661
transcript.whisperx[73].end 3209.655
transcript.whisperx[73].text 的代表對於大陸地區的不管是徵售性或你剛剛講的相關的業務還有貸貨管理的措施要加強進行控管同時對於客戶客戶他整體曝險的進行要進行控管也就是我們在大陸的客戶對他的一個情形要加強的控管我想這個部分是應該要做的現在九家公股銀行在中國的客戶如果照以前張勝和在當財政部長的時候他是跟我回答說主要都是做台商
transcript.whisperx[74].start 3210.815
transcript.whisperx[74].end 3235.794
transcript.whisperx[74].text 那現在呢還是主要是台商還是有一些中國那邊的企業主要當然還是台商為主對台商為主但是所謂的為主為輔是怎麼樣為主50%也可以說為主啊那比例是怎麼樣比例的部分我想這個部分我們手邊並沒有是我們是不是會後再來做一些瞭解跟委員報告我還記得在這個
transcript.whisperx[75].start 3238.196
transcript.whisperx[75].end 3246.651
transcript.whisperx[75].text 2015年的時候還有某家我們公股銀行在大陸的時候在放貸的時候還有被錄影有這個收回扣這樣的狀況那個事情處理了嗎
transcript.whisperx[76].start 3250.369
transcript.whisperx[76].end 3252.471
transcript.whisperx[76].text 我現在希望你們能夠統計到底做的
transcript.whisperx[77].start 3276.391
transcript.whisperx[77].end 3292.359
transcript.whisperx[77].text 你說這個曝險兩千一百多億多少比例是台商的多少比例非台商的至少要給一個大概的數字另外我們九家公股銀行在中國的這一些都是分行不是子行吧有沒有子行的
transcript.whisperx[78].start 3294.327
transcript.whisperx[78].end 3320.029
transcript.whisperx[78].text 有哪個紙行張瑩如果是紙行紙行是比較好你知道嗎因為紙行跟母行是不同的法人所以中間還有一個這還有一個防火牆可以隔開分行是沒辦法隔開的所以你在分行在如果在中國這邊如果將來如果踩雷爆雷了之後他整個母公司都會受到影響從分行會燒出來
transcript.whisperx[79].start 3321.71
transcript.whisperx[79].end 3326.112
transcript.whisperx[79].text 臺商在中國的製造業也慢慢有一些在轉移了有一些移回來臺灣有一些移到東南亞
transcript.whisperx[80].start 3337.276
transcript.whisperx[80].end 3337.616
transcript.whisperx[80].text 委員會主席
transcript.whisperx[81].start 3352.305
transcript.whisperx[81].end 3352.445
transcript.whisperx[81].text 謝謝 各位請回
transcript.whisperx[82].start 3382.898
transcript.whisperx[82].end 3383.484
transcript.whisperx[82].text 接著請賴氏寶委員
transcript.whisperx[83].start 3404.345
transcript.whisperx[83].end 3426.012
transcript.whisperx[83].text 謝謝主席以及各位先進有請財政部的莊部長以及八大行庫的董事長莊部長跟八大行庫的是金控還是銀行金控金控如果沒有金控的話就是銀行
transcript.whisperx[84].start 3434.972
transcript.whisperx[84].end 3455.082
transcript.whisperx[84].text 先看一下,來幾位長官先看下一頁好了,再下一頁我們今年幾乎是這幾年來金礦賺最多的一年吧,是不是?獲利,獲利不錯獲利最好嘛,造風雷董事長啊
transcript.whisperx[85].start 3456.4
transcript.whisperx[85].end 3477.734
transcript.whisperx[85].text 聽說員工很喜歡你,說你很大方,你們賺了288億啊,在10月底,是嗎?明年加薪多少?4.5%有人在講你現在賺這麼多,4.5%是半年前預估的,現在賺這麼多,可以再加個0.5%有沒有可能?
transcript.whisperx[86].start 3478.797
transcript.whisperx[86].end 3480.338
transcript.whisperx[86].text 這個我看到的是義營4%華營4%張營4%何苦都不加是吧何苦都不加
transcript.whisperx[87].start 3505.922
transcript.whisperx[87].end 3526.593
transcript.whisperx[87].text 董事長報告委員我們也是4%為目標但是我們平常就是確定沒有確定沒有確定了確定了4%確定4%但是我們還有晉級加薪那個2.66%的還有一個是台企要台企多少4%4%台灣金寇跟土耳其4%是吧都4%是吧好部長有一個問題啊是
transcript.whisperx[88].start 3536.312
transcript.whisperx[88].end 3554.219
transcript.whisperx[88].text 剛才何苦董事長講說賺這麼多錢啊你們還要扣勞工的員工的伙食費600塊600塊以前是2400塊免稅今年財政部調了3000塊就600塊是免稅變3000結果所有的要加薪的行庫都把600塊變成include內加內含應該是外加
transcript.whisperx[89].start 3566.74
transcript.whisperx[89].end 3569.65
transcript.whisperx[89].text 這600塊我就跟你講的是這600塊應該外加不是內涵部長你知道我講什麼嗎
transcript.whisperx[90].start 3573.977
transcript.whisperx[90].end 3592.846
transcript.whisperx[90].text 因為我們這次調2000是到3000塊那個是說在這裡面不用把它放到員工的薪水裡面去所以這個部分是不納入員工薪資所以不會載入它綜合所得的裡面去可是雷董市長你錢賺最多的
transcript.whisperx[91].start 3599.571
transcript.whisperx[91].end 3626.734
transcript.whisperx[91].text 你們這個六百塊你們把它內涵了他給你六百塊你把它內涵了所以等於沒有加我們再加給他們extra外加可以嗎extraextra對可是臺灣金庫來來來臺灣金庫你們是內涵的喔你們內涵喔你是要內涵外加吧抱歉我剛剛沒有注意到你剛才outside沒有認真聽啊你知不知道
transcript.whisperx[92].start 3628.654
transcript.whisperx[92].end 3641.558
transcript.whisperx[92].text 現在所有的公股行庫的金扣的員工他的伙食費加600你知道嗎你也不知道這我沒注意你董事長說什麼你現在不知道勞工的權利600塊那個國營行庫都是內涵的國營行庫內涵何苦的外交呢兆豐
transcript.whisperx[93].start 3659.418
transcript.whisperx[93].end 3670.167
transcript.whisperx[93].text 報告委員 處理的方式不同啦 因為以前在省屬行庫的時候都是內涵 但是後來改變成現在改變外加啦 人家處理方式不同
transcript.whisperx[94].start 3677.36
transcript.whisperx[94].end 3696.501
transcript.whisperx[94].text 張華英郎,你們的員工聲音叫很大聲喔,說你這個苛刻員工啊,這應該外加的喔,變內涵捏。你不是臺土營啊,臺土營啊,另外講。我們沒有苛刻員工啊。那你為什麼把他內涵捏,不要外加捏。照封就外加捏。
transcript.whisperx[95].start 3698.15
transcript.whisperx[95].end 3704.514
transcript.whisperx[95].text 這個就是因為財政部有公布就是火石貨幣...我們是依照財政部的相關的規定那對員工來講的話...
transcript.whisperx[96].start 3714
transcript.whisperx[96].end 3732.853
transcript.whisperx[96].text 不是,我們為員工的福利著想的話,我們把他加的伙食費,加了600塊之後,其實這部分是屬於他的免稅所得啦。沒有,你是include,我現在跟你們講,部長好好研究啦,大家八大行工與世同仁,你不要大家心裡不一樣,造風就外加,其他的就是內涵。
transcript.whisperx[97].start 3733.633
transcript.whisperx[97].end 3749.747
transcript.whisperx[97].text 這件事有相對的剝奪感,部長,去研究一下吧,可以嗎?於是同仁都外加,不要內涵啦,不一樣啦,差很多啦,減六百咧,一年就差七千多喔,你知道我意思嗎?
transcript.whisperx[98].start 3750.787
transcript.whisperx[98].end 3775.5
transcript.whisperx[98].text 我想委員您的意思應該是指火石費是不是要把它放在薪資外面對!就是你不要放在薪資裡面嘛!火石費要放在薪資外啦!對不對?不能放在加薪裡面啦!它不算加薪的那個4%裡面啦!你只要等於把他拖了600塊啦!那我們再進一步了解好不好?這個銀行我剛剛列了那個銀行每一屆都大賺錢
transcript.whisperx[99].start 3776.741
transcript.whisperx[99].end 3790.676
transcript.whisperx[99].text 每一家都搭賺錢你跟員工績效600塊沒有道理啊沒有天亮啊了解了解委員的意思我們再進一步了解各位董事長各位董事長請回答特別那個張華英讓林董事長你回答非常
transcript.whisperx[100].start 3792.357
transcript.whisperx[100].end 3808.444
transcript.whisperx[100].text 林董事長的回答非常的狀況外你不是土銀也不是台銀董事長你是彰化銀行不一樣你如果今天講台銀土銀還可以講你今天是彰化銀行不能這樣講你要比這兆豐比這兆豐來我們來看今天講資訊了
transcript.whisperx[101].start 3820.411
transcript.whisperx[101].end 3828.665
transcript.whisperx[101].text 綜合所得稅可以線上報稅網頁報稅可以嘛手機驗證可是移屬稅、營業稅、醫政稅、政理稅都要用特別軟體下載
transcript.whisperx[102].start 3836.063
transcript.whisperx[102].end 3858.456
transcript.whisperx[102].text 來,張主任,可不可以概稱啊,我知道張主任才不太會回答這問題什麼時候可以不需要下載軟體直接比照中屬稅用網頁審報、手機驗證、線上保險,可以嗎?可以嗎?我們再研究一下,因為這個稅的方式不一樣這個要做很快
transcript.whisperx[103].start 3862.366
transcript.whisperx[103].end 3869.921
transcript.whisperx[103].text 請問你有沒有往這個努力方向?應該往這個方向努力我們會往這個方向來努力啦什麼時候會有答案?
transcript.whisperx[104].start 3872.085
transcript.whisperx[104].end 3881.791
transcript.whisperx[104].text 我想會在更新系統之後我們預計在明年明年6月可以吧114年會有新系統目前的系統113年還是舊系統114所以我們不能講114年開始
transcript.whisperx[105].start 3894.958
transcript.whisperx[105].end 3908.918
transcript.whisperx[105].text 可以包括銀索稅、銀頁稅、移證稅統統不需要再下載一個軟體那個像盲腸一樣啊直接我們就一樣線上進步一點啦與師同居俱進
transcript.whisperx[106].start 3910.62
transcript.whisperx[106].end 3910.8
transcript.whisperx[106].text 法定人數不足
transcript.whisperx[107].start 3929.429
transcript.whisperx[107].end 3929.449
transcript.whisperx[107].text 謝謝委員
transcript.whisperx[108].start 3948.629
transcript.whisperx[108].end 3950.57
transcript.whisperx[108].text 總共花多少錢?大概400萬左右400萬喔?那效果怎麼樣?
transcript.whisperx[109].start 3968.105
transcript.whisperx[109].end 3971.148
transcript.whisperx[109].text 壓力測試你們有過關嗎?過關上線沒有上線沒有已經上線了
transcript.whisperx[110].start 3989.988
transcript.whisperx[110].end 3993.111
transcript.whisperx[110].text 我從經濟部商業室可以找到公司的負責人姓名也可以找到個人身分證
transcript.whisperx[111].start 4019.721
transcript.whisperx[111].end 4046.26
transcript.whisperx[111].text 我們現在不要懷疑部長你我的名字都被賣掉了我們的個資都被賣掉了在世界上都被賣掉了結果呢來我們來看下一頁我個人比如張三啊是A公司的負責人我就進去財政部點資深報教水服務網
transcript.whisperx[112].start 4048.42
transcript.whisperx[112].end 4070.362
transcript.whisperx[112].text 裏面我就可以重新reset重新設定裏面的一些的參數等等的簡單來講就是現在我們的個資已經外洩我透過經濟部知道哪一家公司的負責人比如說這負責人叫賴某某然後我看到他的身份證我用他來
transcript.whisperx[113].start 4071.643
transcript.whisperx[113].end 4098.775
transcript.whisperx[113].text 進到財政部裡面了報稅的資料就可以改欸可以改欸要多繳的變少繳少繳的變多繳看到的目的是什麼變這個樣子欸目前目前這個來來來我再補充一下就是經濟部的這部分因為他是營業人他登記的營業人的資料他是必須要公開的所以他是可以查到但是他查到的時候到財政部的密碼不應該會是一樣的
transcript.whisperx[114].start 4105.504
transcript.whisperx[114].end 4126.052
transcript.whisperx[114].text 我現在告訴你已經有人進去了透過你這個電子申報繳稅服務網就進去裡面這些都可以reset把它改請問怎麼辦我剛剛特別問你紅隊演練你沒有演練到這個地方啊稅的資料如果被篡改怎麼辦
transcript.whisperx[115].start 4128.01
transcript.whisperx[115].end 4144.483
transcript.whisperx[115].text 我想這個部分我們會針對他這個密碼的驗證的部分再做加強就要求他有雙重的兩種因子我知道你答案就在這裡啦其實你的密碼提示這個人家駭客要做很簡單他破你這個都很容易啦用幾個下去跑幾次密碼就跑出來我覺得這一部分我剛才很遺憾的聽到
transcript.whisperx[116].start 4156.011
transcript.whisperx[116].end 4180.184
transcript.whisperx[116].text 我剛才以為你們報告很偉大紅堆引力其實大家最在意的不是只有發票啦在意的是稅啦種所稅、營所稅、營業稅最在意結果你們現在這個東西是開大門根本空空的要加強好不好先做一個我這裡就兩個重點第一個重點我們希望
transcript.whisperx[117].start 4181.164
transcript.whisperx[117].end 4204.291
transcript.whisperx[117].text 一年以後能夠全部線上不要再下載你的軟體第二個你的這個稅的安全的資安的問題我覺得可以再強化了目前不夠目前看到是沒有沒有做這個事情了解一下就一個名字加上一個身分證號就可以進到我們報稅系統改資料我覺得這個我們再詳細了解一下一個情況謝謝委員 謝謝
transcript.whisperx[118].start 4210.742
transcript.whisperx[118].end 4227.112
transcript.whisperx[118].text 好 謝謝各位請回接著請省發會委員主席請莊部長好 莊部長委員好部長早
transcript.whisperx[119].start 4237.662
transcript.whisperx[119].end 4261.344
transcript.whisperx[119].text 這個今天第一個想跟部長探討一下有關我們現在我們鼓勵這個小規模營業人他能夠導入這個行動支付接受這個消費者使用行動支付的這樣子的我們為了這個能夠鼓勵這些小規模的營業人所以我們有一個辦法
transcript.whisperx[120].start 4262.625
transcript.whisperx[120].end 4272.612
transcript.whisperx[120].text 有一個作業規範叫做小規模營業人導入行動支付適用租稅優惠作業規範對不對這個規範好像是107年開始實施了那108年的時候有延長了那這個
transcript.whisperx[121].start 4282.11
transcript.whisperx[121].end 4302.898
transcript.whisperx[121].text 他大概就是說我看大意大概是這樣子這個作業規範就是說你如果來申請申請經過核准你使用這個行動支付的話你可以有一些租稅優惠
transcript.whisperx[122].start 4304.588
transcript.whisperx[122].end 4319.013
transcript.whisperx[122].text 最主要就是按照營業稅法第32條第一項的單書他就變成營業性質特殊的營業人營業性質特殊的營業人他就不受使用統一發票的標準的限制
transcript.whisperx[123].start 4321.142
transcript.whisperx[123].end 4348.681
transcript.whisperx[123].text 包括它的銷售平均每個月要20萬這個限制就沒有了對不對?是是,縱使超過也是還是適用它原來沒有超過但是它有一些申請要件它不是說你有用行動支付就可以享受這個租稅優惠有一些申請要件包括你要使用智慧行動載具包括你要由這個行動支付業者來提出申請
transcript.whisperx[124].start 4350.022
transcript.whisperx[124].end 4360.006
transcript.whisperx[124].text 包括說要提供你們的銷售資料、銷售額、營業額等等相關的申請條件請問部長這個規範是從大概107年就開始了107年原本是107年到109年了108年的時候我們再延長5年我們會一直實施到114年就是2025年會實施到2025年
transcript.whisperx[125].start 4378.447
transcript.whisperx[125].end 4389.015
transcript.whisperx[125].text 財政部長這個到目前為止的實施成效怎麼樣?到目前為止已經有核准的有1萬7099家的小規模營業人適用這一項的優惠
transcript.whisperx[126].start 4398.594
transcript.whisperx[126].end 4421.562
transcript.whisperx[126].text 這個一萬七千零九十九家這個是從一百零七年累積到現在對不對是的是的一百零七年累積到今年一百一十二年全國才一萬七千零九十九家是用這個租稅優惠而已是來提出申請對提出申請也核准了我們跟去年比較啦齁去年一年大概增加多少家
transcript.whisperx[127].start 4422.458
transcript.whisperx[127].end 4449.231
transcript.whisperx[127].text 去年一月到...您說說今年是不是?我跟你講今年跟去年齁我這邊幫你算了啦今年度齁大概增加三千家啦對不對一整年大概增加三千家對不對?署長對不對?今年增加三千家啦齁三千家也就平均一個月大概差不多兩百三十三家啦
transcript.whisperx[128].start 4450.914
transcript.whisperx[128].end 4470.211
transcript.whisperx[128].text 233家我們以這個我們台灣22縣市來看每個縣市平均大概一年只增加10家左右而已部長這個我們有鼓勵到嗎?我們有推廣到嗎?這個申請是不是我們有沒有檢討我們這個
transcript.whisperx[129].start 4472.282
transcript.whisperx[129].end 4474.105
transcript.whisperx[129].text 這個租稅優惠的規範的這個相關的規定是不是為什麼這麼多年107年到現在才全台灣才1萬家1萬7千家
transcript.whisperx[130].start 4485.749
transcript.whisperx[130].end 4511.001
transcript.whisperx[130].text 從委員做的這張表裡面非常詳細我們可以看出來一開始的成長比較快到後來就呈現一個緩慢的一個趨勢我想這個部分我們確實應該要去了解原因在哪裡然後能夠針對這樣的一個原因去做一個解決然後達到鼓勵小規模營業人能夠導入行動支付我想這個部分是委員的提示對我現在就是要你們檢討為什麼要找原因嘛是對要找原因對
transcript.whisperx[131].start 4515.884
transcript.whisperx[131].end 4539.751
transcript.whisperx[131].text 是,報告委員,因為所有導入行動支付,它小規模依然還是要符合一些硬體的要件,簡單講,它必要有行動支付的一些設備之類的,所以他們考量的因素很多,但是我們現在國稅局,我們請各地區國會局都加強輔導,然後其實像有一些中介業者,包含記者業者都有協助我們去宣導,怎麼樣去導入。
transcript.whisperx[132].start 4539.991
transcript.whisperx[132].end 4541.632
transcript.whisperx[132].text 工具上面可以簡化然後再去針對他們的真正的問題然後做輔導我想這是有必要的
transcript.whisperx[133].start 4569.107
transcript.whisperx[133].end 4569.367
transcript.whisperx[133].text 好的,我們來檢討
transcript.whisperx[134].start 4597.248
transcript.whisperx[134].end 4612.175
transcript.whisperx[134].text 再來就是你這些小的營業人他自己本身的疑慮我想問署長我這個問署長不要問署長署長請問這些小規模營業人他如果導入這個行動支付申請這個租稅優惠他的整體賦稅會不會變重
transcript.whisperx[135].start 4615.047
transcript.whisperx[135].end 4635.857
transcript.whisperx[135].text 應該這樣說就稅率它是維持百分之一整體負稅會不會變重但是它實際銷售額如果增加那我們根據它實際銷售額來合併它實際銷售額增加當然就增加啦我是說它如果它就是以這個要件它導入這個行動支付之後申請這個租稅優惠會不會因為這個申請而使它的負稅變重
transcript.whisperx[136].start 4636.957
transcript.whisperx[136].end 4637.337
transcript.whisperx[136].text 這個Q&A裡面的第10點
transcript.whisperx[137].start 4660.083
transcript.whisperx[137].end 4671.67
transcript.whisperx[137].text 第10點所問的問題Q就是我剛剛一字不漏的問你的問題但是你們的A裡面回答不是像你說不會你們回答是未必會增加
transcript.whisperx[138].start 4673.644
transcript.whisperx[138].end 4679.708
transcript.whisperx[138].text 委員因為這是他實際銷售的增加所以你們這個Q&A到底回答了什麼人家這些小規模業人就是怕說我用這個我付稅款來增加到底會不會你們說不一定會啦
transcript.whisperx[139].start 4691.735
transcript.whisperx[139].end 4691.995
transcript.whisperx[139].text 這個學法是...
transcript.whisperx[140].start 4712.592
transcript.whisperx[140].end 4738.451
transcript.whisperx[140].text 報告委員他是把剛才您問我的前段實際銷售額增加的時候他說服會增加這件事情他把病到這個回答裡面去敘述了這個齁我們整個都要檢討啦包括我剛講的這些要件像你們這種Q&A你們這種要設身處地站在這些小規模營業人的立場來想想像為什麼大家申請的這個我們申請的比例這麼低啦
transcript.whisperx[141].start 4740.902
transcript.whisperx[141].end 4759.885
transcript.whisperx[141].text 再來部長另外一個問題我們這個從這個實施清安貸款從今年我們新的這個今年安心成家購屋的優惠貸款新的制度今年8月1號上路了
transcript.whisperx[142].start 4761.027
transcript.whisperx[142].end 4786.498
transcript.whisperx[142].text 是這個我們的額度提高嘛我們的這個年限也延長嘛那我們的利率補貼也增加嘛所以這個看起來從8月到現在從今年我們看今年8月到10月我看這個我們的這個成效是爆量了申請是爆量是增加倍數增加對跟去年的同期是倍數增加對跟去年同期是倍數增加
transcript.whisperx[143].start 4787.964
transcript.whisperx[143].end 4816.293
transcript.whisperx[143].text 我這裡有這個一個比較在去年包括不管是我們的這個申請的戶數或核貸的戶數或核貸的金額或者是我們受理的戶數受理的金額都幾乎幾乎這個都是倍數成長了都倍數成長所以這個政策齁這個政策我們應該要多多宣導我們要讓大家青年知道說我們現在這個優惠我們看我們這樣子增加之後我們
transcript.whisperx[144].start 4817.473
transcript.whisperx[144].end 4835.448
transcript.whisperx[144].text 這個新的制度之後就增加這麼多人來申請我們的親安貸款所以我們應該更應該財政部應該加強宣導說我們有這樣子的方案對不對我想這個因為我們親安貸款是對於首購主所以這些應該都是第一次買房子對他們來說有很大的一個幫助
transcript.whisperx[145].start 4836.649
transcript.whisperx[145].end 4862.044
transcript.whisperx[145].text 讓他減輕初期的貸款負擔我現在這樣爆量但是我看這個我們現在這個新興貸款上路8月上路以後我們公股的辦理的情形在我們公股來講看起來還集中在台銀跟土銀台銀跟土銀加起來大概就差不多45%了將近快要一半其他的公股行戶他所佔的相關的這些業務量其實都還蠻低他們都還有宣導的空間對不對
transcript.whisperx[146].start 4865.941
transcript.whisperx[146].end 4886.574
transcript.whisperx[146].text 因為這裡看起來台銀跟土銀的比例都佔到26%跟25%可是我們做一個宣導齁有一個前幾天叫里長買票被抓的這個立委候選人說說我們這個這個我們強制說我們這個財政部強迫公股做宣導他說這個是大內宣這個是洗腦
transcript.whisperx[147].start 4892.145
transcript.whisperx[147].end 4908.183
transcript.whisperx[147].text 部長這樣子的政策對於首次購屋的青年來講是有這樣子的優惠而且有這麼大的幫助我們從這個新的制度8月到10月我們就看到它所爆出來的量跟成效我們就知道幫助很大應該要加強宣導
transcript.whisperx[148].start 4909.344
transcript.whisperx[148].end 4928.814
transcript.whisperx[148].text 他不是什麼洗腦也不是什麼大內宣他就是一個加強宣導也是我們除了台銀、土銀以外其他公股行戶彰化銀行等公股行戶應該要加強宣導的對不對是的我們希望首購族都能夠享受到這個政府優惠的一個措施
transcript.whisperx[149].start 4929.674
transcript.whisperx[149].end 4951.026
transcript.whisperx[149].text 所以部長這部分我希望說我們能夠讓更多更多的這些手夠的青年能夠了解到我們政府現在有這樣子的貸款方式然後有我們所有這些行庫大家都可以做這樣子的貸款這個部分請我們要加強宣導要加強這個宣傳好不好是謝謝委員謝謝好謝謝各位請會接著請郭國文委員
transcript.whisperx[150].start 4961.83
transcript.whisperx[150].end 4989.646
transcript.whisperx[150].text 主席有請莊部長莊部長委員好部長好我想今天針對今天主席所安排這個專題報告的內容來說的話洋洋灑灑你們寫了好幾頁不論是項目跟內容羅列了許多但是本席想要知道的是說到底這些惡意的這個治安的攻擊他的目標
transcript.whisperx[151].start 4991.428
transcript.whisperx[151].end 4991.708
transcript.whisperx[151].text 哪個財啊?
transcript.whisperx[152].start 5017.745
transcript.whisperx[152].end 5036.894
transcript.whisperx[152].text 就是從個人資料取得資訊的財可以拿到個人資料然後還有機會拿到取到金錢或者是拿去賣還有包括惡意阻斷他也不是要什麼他就是把你癱瘓而已那你們哪幾個單位這種現象最嚴重哪個單位最有財啊
transcript.whisperx[153].start 5043.621
transcript.whisperx[153].end 5045.723
transcript.whisperx[153].text 財經中心最嚴重對不對?那最嚴重大概多少筆?都沒有看到你寫啊!像那個官茂就有五萬多筆啊!
transcript.whisperx[154].start 5061.952
transcript.whisperx[154].end 5080.676
transcript.whisperx[154].text 我們並沒有洩漏個人資料我不是說你洩漏個人資料我說那被攻擊的次數因為台灣是被被網軍攻擊被駭客入侵最嚴重我就想要知道到底財政部是哪幾個部門或哪幾個公股銀行受到這一個網軍最大的興趣我要知道的是這一個啊
transcript.whisperx[155].start 5081.596
transcript.whisperx[155].end 5107.351
transcript.whisperx[155].text 這才知道你的目標對象是誰他背後的目的是什麼然後你重點要防範的是什麼我都看不出來我就看到你這寫了一大堆啷啷洋洋灑灑的一個措施內容但是我是覺得你應該從目標導向來倒推回來才對啊處長是嗎你有沒有會診過我本席就問你這一點就好這當然有當然有有我想要看的報告我都看不到啊你有的都沒有寫出來
transcript.whisperx[156].start 5108.791
transcript.whisperx[156].end 5133.427
transcript.whisperx[156].text 是不方便透露還是實體下可以給我還是給主席也一份好了我先跟委員報告就是攻擊次數跟攻擊成功是不一樣的那我們只知道目前的現況到底多嚴重哪些受到攻擊最嚴重這份報告當中沒有看到這個所以我們可以會後補充攻擊的數字接下來我想請部長
transcript.whisperx[157].start 5135.555
transcript.whisperx[157].end 5141.805
transcript.whisperx[157].text 財政部知道這個手法之後馬上就會立即通知交給165警政署處理是不是165專線
transcript.whisperx[158].start 5149.407
transcript.whisperx[158].end 5167.647
transcript.whisperx[158].text 那這跟民間的報案有什麼不一樣我們是官方機構欸對啊難道沒有一個斷然的措施嗎通知數位部立即斷網嗎啊任由那個網路上還有人拿著財政部的名號在那邊招搖撞騙這有損政府名譽欸沒有這種方式嗎
transcript.whisperx[159].start 5168.788
transcript.whisperx[159].end 5192.638
transcript.whisperx[159].text 方式裡面沒有這個就是第一個我們給165第二個就是你通報程序就一般民眾有什麼不一樣他們去判斷以後就可以去做下架對啊要立即斷網嘛你還在通報程序讓他再繼續招搖撞騙然後另外一個時機點也不對嘛他那個時機點你們一般退稅是7月10月跟隔年的1月嘛而且詐騙時機點也不對啊不是嗎
transcript.whisperx[160].start 5195.197
transcript.whisperx[160].end 5223.651
transcript.whisperx[160].text 這民眾不清楚你在通報退稅的時間點嘛不是嗎跟委員報告就是因為入口進去的話繳稅的部分就會到財經公司那財經公司這邊的這個合作方式就是直接透過165詐騙那165他這邊因為有行事警察局有做協詢跟切斷的這個作業我是那個處長這種方式他要留於流程啦程序啦
transcript.whisperx[161].start 5224.13
transcript.whisperx[161].end 5242.65
transcript.whisperx[161].text 我意思是說要有一個斷然的處理方式啦政府機關跟這個不一樣而且跟民眾的宣導也要有那個時間點的概念根本不太可能現在有11月有退稅的事情發生嘛好我再拉回來跟你講一樣是詐騙的齁那處長就上來了我拉回來講那CRS的部分查稅又查詔的部分齁
transcript.whisperx[162].start 5243.871
transcript.whisperx[162].end 5267.206
transcript.whisperx[162].text 你知道那個部長我們跟澳洲跟日本英國有簽訂這個CRS共同申報準則這所謂的台版肥咖條款我今天先不問你說你現在找到多少肥咖那麻煩你回去稍微找一下但是這個肥咖的部分找到之後你有可能會揪出犯罪集團的海外資產嗎有沒有可能
transcript.whisperx[163].start 5268.339
transcript.whisperx[163].end 5287.733
transcript.whisperx[163].text 我想這個部分是一個互相通報的一個對阿互相通報也就是說這個詐騙集團他也可能是肥咖阿只是怎麼肥的方式不一樣而已阿有的是用騙來變肥的阿有的是用賺來變肥的阿只是不同樣的肥咖的肥咖那有沒有可能透過同樣的一個機制裡頭把它查到
transcript.whisperx[164].start 5290.858
transcript.whisperx[164].end 5312.257
transcript.whisperx[164].text 這兩個應該功能上不太一樣第一個我們就是要知道就是說因為他把錢存在海外的帳戶突然暴增的時候你們兩國之間互相通報你也可以看得出來啊對不對重點是核對嘛對不對共同申報核對嘛怎麼突然他的帳戶突然增加了增加的時候你可能就去查
transcript.whisperx[165].start 5312.978
transcript.whisperx[165].end 5335.487
transcript.whisperx[165].text 查後面可能就查出來可能是詐騙集團所以你可以一兼兩顧這個主要是基於稅務用途需要的一個金融資訊的一個教材你就是想只有想到稅務而已本期想到的不止稅務主管機關在查緝的時候如果發現有當然有其他的方法或是細節的方法可以的既能查稅又能查詐
transcript.whisperx[166].start 5337.308
transcript.whisperx[166].end 5358.382
transcript.whisperx[166].text 對不對?是有這種功能啊!我一直說你要注意到有這種功能那既然有這種功能的話你就不應該澳洲、日本、英國之外那我就要問啊那我們在海外所得比較多的國家是這三個國家難道沒有其他的國家嗎?還有吧歐盟啊、美國啊或中國啊我們一個一個逐步在推動那下一個是哪一個?
transcript.whisperx[167].start 5359.082
transcript.whisperx[167].end 5375.019
transcript.whisperx[167].text 下一個這個可能我們還在努力這個加商當中媒體都透露出來說你要找歐盟了你還這麼含蓄你就不能跟我本席透露一下跟委員會透露一下嗎這個我想我們在努力當中是是是
transcript.whisperx[168].start 5378.462
transcript.whisperx[168].end 5397.558
transcript.whisperx[168].text 不要這麼含蓄部長已經提醒好幾遍了有就說我是覺得你這個通報的準則來說這個台版的肥咖條款不是找到肥咖而是找到壞咖這個要把它找出來保證功能性增加最近部長有跑出去演講
transcript.whisperx[169].start 5399.64
transcript.whisperx[169].end 5427.634
transcript.whisperx[169].text 演講有提到那個促餐的部分你說促餐的部分國內今年度會增加2000億那也標示了有五大的這個公共設施的商業模式出來那其中連政府吞輸都搬出來了這個我覺得這個實在沒有什麼太多的討論的意義自償性我是覺得不知道從哪邊來那農業設施的能力我知道政府部門的預算已經投入非常多本身要就教於你的是說
transcript.whisperx[170].start 5429.185
transcript.whisperx[170].end 5452.241
transcript.whisperx[170].text 難道國家已經投入這麼多農業設施的能源你還有標的還有可能有空間來進行那個BOT嗎你們到底有沒有對照過我現在看到的一般BOT是補預算之不足我們才需要把這個項目之補上去既然國家預算已經投入這麼多了你還有剩餘的空間來做這部分的一個補位嗎這是第一啦
transcript.whisperx[171].start 5452.861
transcript.whisperx[171].end 5470.388
transcript.whisperx[171].text 第一我覺得五大項目我懷疑的地方是在這個你到底有沒有跟國家預算裡頭對照過有沒有對照過第二就我的理解的部分現在國家預算裡頭最缺的就是軌道建設的部分反而軌道建設之後就沒有過去的BOT的部分你們只要舉凡到交通了就是停車場
transcript.whisperx[172].start 5471.621
transcript.whisperx[172].end 5490.523
transcript.whisperx[172].text 就是停車場還是停車場全部都是停車場的投資就從來沒有真正的所謂大家期待的軌道運輸的一個投資而且是停車場還是在車站附近的停車場那都是罵的罵罵罵的而且不是一般民眾所需求的就很奇怪部長要回答一下本席
transcript.whisperx[173].start 5491.465
transcript.whisperx[173].end 5513.859
transcript.whisperx[173].text 委員您提到有關促餐2.0的部分除了公務預算的編列之外我們希望其他的重要的一個設施也能夠用促餐來做部長有些是太多有些是不足我們重點是要彌補不足吧對沒有錯不是為了做而做
transcript.whisperx[174].start 5514.819
transcript.whisperx[174].end 5542.51
transcript.whisperx[174].text 主辦機關的一個動能很重要如果主辦機關他要採取促參我們絕對是財政部是一定會去做協助跟告訴他們什麼做對那當然是的我們知道認為說哪一些是很重要的基礎建設以及最需要的國家的建設那您提到我們有說冷鏈不重要但是你有沒有通盤檢討過到底國家投入的冷鏈的普及度到哪裡是
transcript.whisperx[175].start 5543.55
transcript.whisperx[175].end 5565.957
transcript.whisperx[175].text 那這裡面對這裡面很重要是提到是新設的一些今這次2.0裡面增加的一些項目那您提到的一個軌道建設軌道建設依促參來說是可以做依照促參法可以做但是它的投資金額很高那所以在促參法這個部分我們其實今年也修正後也增加了有償提供那個公共服務的機制這個目的就是讓
transcript.whisperx[176].start 5568.078
transcript.whisperx[176].end 5576.805
transcript.whisperx[176].text 本席最後問你一個問題啊5月17號的時候我就就教於你最近你們消息放出來有關於這個入境旅客攜帶行李免稅額度你們在討論所以到底是多少兩萬三萬四萬聽說三萬跟四萬之間好像在報名牌
transcript.whisperx[177].start 5597.822
transcript.whisperx[177].end 5612.91
transcript.whisperx[177].text 沒有,這個部分一定是會比兩萬多啦那這個部分我們也參考到國際的一些案例還有另外也請相關的機關再表示意見你有沒有參考本席的建議從78年全年物價指數那時候60.99到現在111年現在已經102.95那加成起來的話算起來是33760有沒有可能用一個比較公式化的方式組長來發揮一下
transcript.whisperx[178].start 5622.414
transcript.whisperx[178].end 5649.765
transcript.whisperx[178].text 是 報告委員 我們的確有參考委員的建議啦用這個物價指數 從78年到現在的一個飆漲當然我們會參考其他國際的一些做法 會綜合一些考量啦對 你們參考 我看你列舉了日本或那個新加坡 韓國都是低的啊你要列舉高的啊沒有 日本現在是全世界最高對啊 日本是相對高的啊 其他兩個都低的啊所以三萬四算是合理的是不是對好 謝謝你好 謝謝
transcript.whisperx[179].start 5651.785
transcript.whisperx[179].end 5654.447
transcript.whisperx[179].text 臺銀董事長總經理臺銀董事長總經理然後土銀的董事長總經理兆豐金控董事長總經理
transcript.whisperx[180].start 5680.939
transcript.whisperx[180].end 5704.378
transcript.whisperx[180].text 趙峰銀,總經理台灣銀行的總經理因為身體不太舒服沒關係,今天有出席的還有第一金控的董事長總經理第一銀行的總經理華南金控董事長總經理華南銀行總經理合作金庫董事長總經理合營的董事長總經理張營董事長總經理
transcript.whisperx[181].start 5713.442
transcript.whisperx[181].end 5736.452
transcript.whisperx[181].text 總經理不好意思只有第一題要請教大家而已所以第一題完之後大家就可以入座第一個我要請問我們看到有用大內宣的情形我要請問一下大家有收到張瑩的這封函的請舉手知道這件事情的請舉手
transcript.whisperx[182].start 5738.476
transcript.whisperx[182].end 5762.927
transcript.whisperx[182].text 沒有人?好那張瑩董事長這封函是不是張瑩發的?張瑩有沒有發給這個各個公股銀行就是要求他們要這個一起來共襄盛舉然後要這個要有這個脫波的這個費用然後這個各家銀行出資一千萬然後金控是兩千萬有這樣訊息的請舉手沒有沒有這樣訊息的請舉手
transcript.whisperx[183].start 5769.124
transcript.whisperx[183].end 5792.232
transcript.whisperx[183].text 好,那個是哪一位舉手,沒有這樣的訊息的,是不是後面的,哪一位?哪個銀行,請說一下,好吧?啊?第一金控沒有這樣的情形,然後其他的不舉手是什麼意思?就是有也不舉手,沒有也不舉手,你知道我在這個學校任教EMBA呢,就是如果
transcript.whisperx[184].start 5793.55
transcript.whisperx[184].end 5800.74
transcript.whisperx[184].text 回答問問題不回答的話就是有公積金出來你們這個有也不是沒有也不是這個態度是什麼意思
transcript.whisperx[185].start 5803.603
transcript.whisperx[185].end 5830.115
transcript.whisperx[185].text 來請回答一下那個張瑩你有沒有要求不是不是我跟委員報告一下其實這個就是所有的這些所謂對我們一些公股的一些績效的一些呈現我們平常其實也會拍攝一些廣告啊短片金額是不是像你所要求的你的意思是說這個不是第一次你每一年都會要求各個公股銀行然後要來做這個拍攝的廣告每一年都有的
transcript.whisperx[186].start 5833.116
transcript.whisperx[186].end 5850.883
transcript.whisperx[186].text 每一年都有嗎?你報告要針對我的問題嗎?我沒有問你今年,你每一年都有嗎?我每一年都會有拍攝一些形象的廣告你每一年都會邀請八大行庫要脫波?不會,只有今年邀請八大行庫脫波?
transcript.whisperx[187].start 5851.903
transcript.whisperx[187].end 5852.223
transcript.whisperx[187].text 財政部部長
transcript.whisperx[188].start 5882.764
transcript.whisperx[188].end 5905.32
transcript.whisperx[188].text 有沒有給這個函或收到類似這樣子怎麼樣子有效宣傳提升公股行庫企業形象這個函張瑩有沒有發或者你們現在上台的各個公股銀行金控你們有沒有收到這樣的函或者是你們有沒有做類似這樣的一個事情有的我再給你一次機會有的請舉手
transcript.whisperx[189].start 5907.169
transcript.whisperx[189].end 5933.789
transcript.whisperx[189].text 等一下在後面的各位董事長總經理有知道這件事情的請舉手不知道的請舉手這什麼狀況啊主席我先暫停一下這個他們可以這個不回答嗎有也沒有舉手沒有也不舉手那是什麼意思呢是上台當布警嗎還是是什麼意思呢
transcript.whisperx[190].start 5935.68
transcript.whisperx[190].end 5961.676
transcript.whisperx[190].text 你們不是憲法有備詢的義務嗎?部長 這個怎麼是 李委員問的 有舉手 沒有舉手 兩個都沒有還是你們規定他們通通都不可以回答沒有 沒有規定不是 你有收到這個函件或者是你知道這件事情的舉手啊?
transcript.whisperx[191].start 5962.847
transcript.whisperx[191].end 5963.307
transcript.whisperx[191].text 委員問的問題我們從來都是如實回答
transcript.whisperx[192].start 5991.297
transcript.whisperx[192].end 6018.897
transcript.whisperx[192].text 好,如實回答,但你的八大公股行庫的,他們不回答啊,剛剛只有一個,那個第一銀行的請回,因為你已經回答了,第一銀行的請回,剛才第一銀行的請回,就是說,你知道,就你所知沒有這樣的情形請回,其他的這個八大行庫的這個董事長總經理,再給你一次機會,你知道這樣的事情的請舉手。好,現在巡查開始。請舉手,知道的請舉手。
transcript.whisperx[193].start 6021.092
transcript.whisperx[193].end 6022.573
transcript.whisperx[193].text 不知道的請舉手好 暫停休息五分鐘厲害了現在我們的國會等同虛設啊厲害了還是部長你既然找了這些董事長總經理他們什麼都不知道也拒絕按照憲法的義務履行是不是全部換掉啊
transcript.whisperx[194].start 6050.225
transcript.whisperx[194].end 6069.825
transcript.whisperx[194].text 我想財政部也不是說全部換掉就可以換掉跟委員報告為什麼呢因為我們需要養這麼多人你要開始還是沒有辦法你可以停五分鐘我沒問題我只是提醒他們憲法還有備詢的義務休息五分鐘我要離開主席台了好休息五分鐘
transcript.whisperx[195].start 6130.033
transcript.whisperx[195].end 6130.053
transcript.whisperx[195].text
transcript.whisperx[196].start 6448.238
transcript.whisperx[196].end 6471.503
transcript.whisperx[196].text 我要跟財委會報告立法委員代表人民行使對行政單位的監督立法委員問的問題各位官員必須得回答必須得回答至於你要怎麼回答那要負法律責任
transcript.whisperx[197].start 6473.08
transcript.whisperx[197].end 6473.2
transcript.whisperx[197].text 李卓人議員
transcript.whisperx[198].start 6496.445
transcript.whisperx[198].end 6508.212
transcript.whisperx[198].text 我們再來一次各位董事長、總經理知道這件事情也就是說如何有效宣傳公股行庫企業形象這個張瑩發起的請舉手都知道有這件事情所以也配合辦理是不是配合辦理的舉手
transcript.whisperx[199].start 6520.418
transcript.whisperx[199].end 6521.599
transcript.whisperx[199].text 總預算額度的部分在八大行庫配合之下總預算的額度是多少?
transcript.whisperx[200].start 6541.109
transcript.whisperx[200].end 6550.211
transcript.whisperx[200].text 這個是不是的確就是銀行的部分是每一家一千萬然後金控是兩千萬金控的部分拜託確認一下是兩千萬左右的舉手然後不知道金額的舉手好那你們不知道金額你們是授權什麼部門去辦理來我們拜託那個那個趙峰金控董事長來先來講一下代表講一下
transcript.whisperx[201].start 6566.768
transcript.whisperx[201].end 6586.935
transcript.whisperx[201].text 謝謝李委員事情確實是知道當然只要回答我的問題就好了當然多少金額我不知道你不知道然後就授權授權他們要去做要配合那你是配合張瑩就張瑩發起之後不是配合張瑩她也沒有跟我說張瑩但是就是有這樣的事情要做宣傳因為我們做清安貸款是
transcript.whisperx[202].start 6587.895
transcript.whisperx[202].end 6600.803
transcript.whisperx[202].text 那我現在要請問,因為你們拖延的關係把我的時間用掉了,那我要請問一下,你可以在今天的會後把你們派何辦理的金額出來給本席嗎?
transcript.whisperx[203].start 6601.65
transcript.whisperx[203].end 6627.328
transcript.whisperx[203].text 我的了解是還沒有但是對我說要做這件事情但是沒有金額好像連發包都沒有沒有我現在沒有跟你講發包你這是拖播啊廣告拖不要閃不要閃這是壞習慣好不好你剛剛已經閃了我現在講說不要閃你今天在會後告訴我你內部的查證沒關係今天不要今天也可以我們就說禮拜三下班前可以嗎
transcript.whisperx[204].start 6628.249
transcript.whisperx[204].end 6642.975
transcript.whisperx[204].text 禮拜三下班前查了之後把你們各個銀行你們要辦理配合廣告脫波的金額各個銀行麻煩回覆給我好不好我只就我的兆豐了好不好你只就兆豐我說各個銀行可以齁部長可以嗎那如果他們還不知道的話我建議就是換啦
transcript.whisperx[205].start 6649.898
transcript.whisperx[205].end 6671.527
transcript.whisperx[205].text 這個董事長總經理就換掉就是了好第二個問題各位請回謝謝感恩不盡總算在主席財事之後有把人民放在眼裡沒有拒絕行使拒絕履行你憲法上面備詢的義務感激不盡我第二個問題要請教就是說特別預算呢變成了財政紀律的破口啊部長
transcript.whisperx[206].start 6672.347
transcript.whisperx[206].end 6678.694
transcript.whisperx[206].text 我們看到這個在特別預算的時候你說這個特別預算並沒有是財政機率破口我舉個例給部長部長你記得我當時在詢問你的時候本來這個問題其實應該問主計長但主計長就甩鍋他甩到你身上你記不記得我們在302的時候他甩鍋甩你身上那我只好問你
transcript.whisperx[207].start 6693.311
transcript.whisperx[207].end 6696.493
transcript.whisperx[207].text 財政特別預算的部分在這7年多編了13個特別預算,裡面就算是還稅餘名的部分都還要編給台電500億,這個是事實吧?對不對?部長?是的是的,條例有三條。那我們再看一下為什麼我說
transcript.whisperx[208].start 6712.145
transcript.whisperx[208].end 6712.465
transcript.whisperx[208].text 財政部莊部長翠雲
transcript.whisperx[209].start 6732.705
transcript.whisperx[209].end 6761.191
transcript.whisperx[209].text 特別預算它也要分年編列的對沒有錯那不是我問的我說如果你年度預算的東西你把它塞到特別預算裡面就不對嘛對不對是不是還是你不知道我是覺得要看那個沒有我現在不用看我現在就講說年度預算是年度預算嘛特別預算是特別預算嘛總預算是總預算特別預算是特別預算總預算是每一年都編列的對你把它塞到特別預算裡面來是對還是不對
transcript.whisperx[210].start 6762.551
transcript.whisperx[210].end 6779.372
transcript.whisperx[210].text 我問了第三次了特別預算有特別預算的條例沒錯我就在講了是第四次詢問把總預算的內項目塞到特別預算是可以還是不行這個我想還是要看那個預算法然後主計總處那些我現在講說按照預算法的規定
transcript.whisperx[211].start 6781.274
transcript.whisperx[211].end 6783.176
transcript.whisperx[211].text 現在我們的行政官員也好或者是我們這個相關的這個公股銀行也好顯然
transcript.whisperx[212].start 6800.892
transcript.whisperx[212].end 6813.059
transcript.whisperx[212].text 是沒把人民沒把憲法沒把法律當回事所以我現在問的就是說如果你可以編你應該編在總預算裡面我們講年度預算嘛你硬要把它編到特別預算那特別預算就成了巧門嘛那特別預算成了巧門之後它當然是財政紀律的破口啊你算這個是不能夠光純的去你違法就是違法嘛
transcript.whisperx[213].start 6828.027
transcript.whisperx[213].end 6853.046
transcript.whisperx[213].text 另外我一個跟部長報告的一點就是說在一般的民間有訊息像我剛剛問的那個問題的訊息你們剛剛是拒絕回答在主席財事之前你們是拒絕回答的一般的民間企業當有訊息出來的時候你要釐清沒這回事情你是在你的公告的訊息上面說沒這回事情但你不敢為什麼你不敢就是因為有
transcript.whisperx[214].start 6853.706
transcript.whisperx[214].end 6858.249
transcript.whisperx[214].text 委員我們有說明有說明是沒有說明啊這個問題需要浪費我們這麼多的時間嗎好第三個呢其實我很想問的是財政部又被冒名了嘛對不對現在詐騙猖狂我們看到國家這個打詐打詐國家隊是完全沒有任何的功能他的唯一的功能在哪裡唯一的功能在編預算而已除了編預算之外他沒有任何功能
transcript.whisperx[215].start 6881.342
transcript.whisperx[215].end 6883.765
transcript.whisperx[215].text 所以稅務的詐騙變成常態我想請問部長您除了在您的臉書上面講說你要看到這個有gov.tw的它才是真的其他是假的我要請問就是說為什麼
transcript.whisperx[216].start 6899.198
transcript.whisperx[216].end 6901.32
transcript.whisperx[216].text 財政部需要收集民間資料
transcript.whisperx[217].start 6918.254
transcript.whisperx[217].end 6918.935
transcript.whisperx[217].text 關於各自外流的情況
transcript.whisperx[218].start 6944.514
transcript.whisperx[218].end 6950.876
transcript.whisperx[218].text 你像看公司行號的統一編號你現在Google打上去的時候你只要打公司行號或者打統編它全部的資料都出來你的檢疫密碼設定是這樣子你其實是等同要把全部其他私人企業的訊息讓全部都公開以這樣的一個情況來講你設定的部分你對於各支你有任何的尊重嗎這就是我講說今天的我們的行政單位
transcript.whisperx[219].start 6973.784
transcript.whisperx[219].end 6996.721
transcript.whisperx[219].text 所有的東西完全不在乎老百姓的一個權益你自己設計的東西為了你的行政效率方便但問題你完全不在乎老百姓的權益你另外的講說登記密碼的提示統一編號統一編號你現在公開的訊息上面就可以找到了那我請教你等到裡面的資料被篡改的時候你要誰負責啊
transcript.whisperx[220].start 6997.842
transcript.whisperx[220].end 7008.288
transcript.whisperx[220].text 民間要負責啊,他實在有夠衰欸他什麼事情都沒做,然後就為了你們行政官員的方便然後民間就要承受所有的一個責任,這樣對嗎?部長,這樣對嗎?跟委員報告,您剛剛提的這個營業人的資料,他是公開資料
transcript.whisperx[221].start 7014.451
transcript.whisperx[221].end 7017.094
transcript.whisperx[221].text 但是你的密碼你在設定密碼的時候你要的這些的資料是非常非常容易的你現在根本不要講說多厲害的駭客
transcript.whisperx[222].start 7031.232
transcript.whisperx[222].end 7045.229
transcript.whisperx[222].text 一般的人他就可以進去啊我知道委員您提的就是說落密碼的部分我們已經強化了一定要求他加強這個密碼而且對原來給他的密碼已經更改了我最後一句話你還要注意另外一件事情因為有很多公司行號是透過會計師對不對會計師他很可能是他習慣的一個密碼
transcript.whisperx[223].start 7050.836
transcript.whisperx[223].end 7069.123
transcript.whisperx[223].text 所以所有人通通都是一樣對現在已經不可以了所以他只要查出來是哪個會計師他所有的資料一樣出去啊不是這樣子嗎現在不可以了原來是這樣子因為原來計帳室也好會計師也好他為了減變就用了這個弱密碼現在都要去做變更了而且定期要變更這個部分我們會加強的好再拜託謝謝委員提示
transcript.whisperx[224].start 7074.264
transcript.whisperx[224].end 7081.409
transcript.whisperx[224].text 跟委員會報告,待會兒鍾嘉斌委員巡拿完以後,我們就休息10分鐘,現在請鍾嘉斌委員
transcript.whisperx[225].start 7091.972
transcript.whisperx[225].end 7109.066
transcript.whisperx[225].text 主席.在場的委員先進.列席的政府機關事務長.官員.會長.工作夥伴.媒體記者女士先生有請財政部莊部長.那另外請關務署的彭署長.國庫署的蕭署長.以及財政資訊中心的張主任.聽到問題的時候就自動上來施惠詢
transcript.whisperx[226].start 7112.472
transcript.whisperx[226].end 7130.611
transcript.whisperx[226].text 委員好部長好部長考你一個國文什麼叫做備詢備詢是不是我問你答叫做備詢對啊那你回答詢問你是用嘴巴講還是用字體語言告訴我還是打手語告訴我當然是用嘴巴講嘴巴講在本委員會在國會的備詢要對著麥克風講才算數對不對
transcript.whisperx[227].start 7134.471
transcript.whisperx[227].end 7145.426
transcript.whisperx[227].text 是不是?我沒有記錄嘛那請問一下,如果問你yes or no的問題,要你蹲下表示是,要你站著表示不是,你會照做嗎?
transcript.whisperx[228].start 7146.386
transcript.whisperx[228].end 7164.978
transcript.whisperx[228].text 我想我會對著跟委員用明確的表示就是說對著麥克風講對不對今天剛剛表現的叫大家舉手那叫表決今天列席的官員不是本委員的委員沒有表決的權利你們是來備詢的不是來舉手表決的有問題直接對著麥克風講會不會
transcript.whisperx[229].start 7167.244
transcript.whisperx[229].end 7173.726
transcript.whisperx[229].text 對著麥克風講這裡不是小學堂這裡是國會殿堂如果有委員要把自己當作幼兒園的教師那是他的事情請你不要表現出像幼兒園的小朋友一樣好不好
transcript.whisperx[230].start 7197.298
transcript.whisperx[230].end 7197.418
transcript.whisperx[230].text 入境免稅額
transcript.whisperx[231].start 7215.127
transcript.whisperx[231].end 7220.775
transcript.whisperx[231].text 18年到現在 34年了 物價調了多少當然 物價成長1.7倍 要不要調 會調調1.7倍可以嗎 1.7倍啊 我們現在數字還在算 給大家一個承諾
transcript.whisperx[232].start 7232.509
transcript.whisperx[232].end 7233.77
transcript.whisperx[232].text 社會怎麼疑慮?會不會衝擊我們台灣年輕人的就業?
transcript.whisperx[233].start 7251.833
transcript.whisperx[233].end 7269.347
transcript.whisperx[233].text 會不會我想這個來台就業這個勞動部應該會回去思考吧好我來告訴你除了怕金正強公出來但有任務啊中國學生到外國的就學就業有特殊任務有沒有聽過我告訴你啦往下看中國學生到我國外啊間諜活動看到媒體報導美國
transcript.whisperx[234].start 7271.46
transcript.whisperx[234].end 7281.332
transcript.whisperx[234].text 他計畫加入陸軍,獲得快速的共鳴身份,然後進入這些情報敏感單位法國中國學生因為重置間諜活動被遣返德國因為中國學生參與間諜活動,他認為有風險你有沒有看過這個報告?
transcript.whisperx[235].start 7286.038
transcript.whisperx[235].end 7313.566
transcript.whisperx[235].text 在媒體上有看到往下看那麼陸生來台中生來台就學的領域很特別在2019年之前他們來台灣會念什麼?商業跟管理還有藝術還有工程你知道嗎?今年陸生最夢的領域是什麼?軟體應用及管理開發管理行政電子電機為什麼?有沒有覺得他們的領域的變化?我來告訴你什麼原因來
transcript.whisperx[236].start 7315.253
transcript.whisperx[236].end 7332.639
transcript.whisperx[236].text 以美國的軍事機密為例要竊取資訊不需要很核心只要一個一等兵他接觸到網路系統就可以接觸機密就可以洩密還有一個中國華裔的美國的海軍現役士兵因為母親鼓勵他洩密可以跟中國求關這個新聞對你有什麼啟發
transcript.whisperx[237].start 7337.39
transcript.whisperx[237].end 7362.628
transcript.whisperx[237].text 我覺得這個來幹嘛就幹嘛不要做一些不應該做的事沒有錯不能從事與入境目的不合的行為往下看不只如此現在的財經詐騙層層不從啊網站都設在外國啊有收到什麼臺北國家稅務局的還稱呼你叫做尊敬的客戶請問主任你認為這些網站是來自哪裡因為我們的資料主要都是來自香港香港財資中心揪出了205個偽造
transcript.whisperx[238].start 7366.357
transcript.whisperx[238].end 7374.243
transcript.whisperx[238].text 公股行庫有沒有完善建立確實內部集合?內積內控有沒有?有那不是公股行庫的上海銀行1.4萬個1萬4千個各自外洩是什麼原因?沒有建立也沒有確實執行找這客戶資料外洩是不是這樣?有沒有懲處?
transcript.whisperx[239].start 7396.773
transcript.whisperx[239].end 7402.439
transcript.whisperx[239].text 公股行庫有沒有統整出這些資訊安全的敏感職務加強資安及背景審查以降資安教育有沒有做
transcript.whisperx[240].start 7416.245
transcript.whisperx[240].end 7442.028
transcript.whisperx[240].text 有沒有定位什麼叫敏感職務?有沒有?有沒有定位什麼叫敏感職務?沒有啊!如果沒有定位敏感職務,你如何加強資安的訓練跟教育呢?所以呢,請注意,你們如果要重視資安,要對銀行端
transcript.whisperx[241].start 7443.052
transcript.whisperx[241].end 7446.419
transcript.whisperx[241].text 敏感植物先定位,哪些植物有可能接觸到機密,可以嗎?
transcript.whisperx[242].start 7448.216
transcript.whisperx[242].end 7474.013
transcript.whisperx[242].text 我們可以了解參考一下這個叫做加強關鍵基礎保護設施的法案這定出來的對不對在今年的5月30號通過的關鍵基礎設施的法律修正案其中包括政交法銀行法期貨交易法都有明白說什麼核心設備及核心資訊之通的系統對不對如果竊取破壞違反怎樣要罰一年以上七年以下有什麼重不重
transcript.whisperx[243].start 7474.983
transcript.whisperx[243].end 7501.297
transcript.whisperx[243].text 重對不對但是如果你們沒有把這些敏感之物定位清楚你根本不曉得核心的設備在哪裡什麼人會接觸到是不是這樣子對核心的設備核心的資訊系統一定要先把它羅列出來那我們才知道是關鍵基礎設施的重要性知道了齁好那最後呢我來問你齁除了應起設備之外呢人員的審查更重要你們呢有沒有對這些接觸這些關鍵核心知名設備
transcript.whisperx[244].start 7502.638
transcript.whisperx[244].end 7517.007
transcript.whisperx[244].text 還有這些業務的人有沒有進行審查這個部分因為有一些有保密責任的話一定要要求他們要簽署保密的協定要簽署保密協定我先問一個保密協定這是行政院的願函他說111年盤點來自大陸地區的廠牌的資訊設備還有委外營運的公共場所的契約評估結果要說明什麼要說明辦理事項轉資格公共機關我們銀行都有沒有收到
transcript.whisperx[245].start 7532.097
transcript.whisperx[245].end 7557.883
transcript.whisperx[245].text 這個部分我們全部完成清查跟盤點有沒有要求廠商在執行你們的執行案的時候成員不得有中級入籍的人士有沒有?有,有要求有沒有說不可以提供中國製的自通設備?也有要求有沒有做到?有啊,都有做到設備你們有做到嗎?都做你們外包的廠商的成員的身份有做控管了嗎?有控管,對,我們會對資安人員也會做真性調查好,那我來告訴你
transcript.whisperx[246].start 7559.013
transcript.whisperx[246].end 7560.615
transcript.whisperx[246].text 我們沒有外籍人士啊
transcript.whisperx[247].start 7574.548
transcript.whisperx[247].end 7597.378
transcript.whisperx[247].text 公股行庫沒有人有台灣以外的國籍你確定嗎這個問題很敏感喔中華民國國籍你們的工作人員當中除了高階的主管我們有要求有雙重國籍的要求之外你能確定公股行庫的人沒有台灣以外的國籍嗎當然我們沒有對全體同仁去做過清查你們有什麼你們延攬外籍優秀的人才有沒有
transcript.whisperx[248].start 7598.408
transcript.whisperx[248].end 7609.189
transcript.whisperx[248].text 這個部分有過對 你們延南他是外籍人才的時候有沒有去了解他是哪個國籍的背景他是來自香港的你確定他有沒有中國的背景
transcript.whisperx[249].start 7610.611
transcript.whisperx[249].end 7635.92
transcript.whisperx[249].text 這個部分齁對香港的不是中國人喔來自香港香港國際人士很多啊從香港的銀行被你們延攬來到台灣公股行庫的有沒有目前沒有啊你們目前公股行庫完全沒有延攬從香港來的外籍人士完全沒有完全沒有確定喔要不要我一個一個請教我不會叫你們蹲或跪或者舉手叫你們一個一個對在麥克風講有沒有
transcript.whisperx[250].start 7636.789
transcript.whisperx[250].end 7641.95
transcript.whisperx[250].text 今天我們在談資安今天我們在談金融的資安今天我們在談公股行庫的金融資安首先第一步你們要把機敏的職務列出來可以嗎?
transcript.whisperx[251].start 7665.892
transcript.whisperx[251].end 7671.27
transcript.whisperx[251].text 我們去查一下雞米食物去分類好 第二個從事這些職務的委員要不要加強訓練
transcript.whisperx[252].start 7673.119
transcript.whisperx[252].end 7700.459
transcript.whisperx[252].text 當然應該要訓練要教育訓練對不對最後哪些人擔任這個職務你們公股行庫跟你所屬的證券公司或保險公司或者執行的廠商團隊當中在有非本國籍或是他同時擁有其他國籍的人士以及資通訊的產品都要加強資安以及背景審查可以做到嗎我想這部分我們會後再來做研議什麼時候可以結束後調查完畢後給本委員會一個說明
transcript.whisperx[253].start 7701.61
transcript.whisperx[253].end 7721.292
transcript.whisperx[253].text 一個月內請你們加上調查尤其第二項你們要先盤點定位哪些是機敏的植物第二個這些機敏的都不見得是核心不見得只有後台的鑰匙它可能只是一個基層的能源就像一個一等兵一樣這些植物只要被列為機敏的你們要進行在職能源的在職教育訓練
transcript.whisperx[254].start 7722.389
transcript.whisperx[254].end 7723.349
transcript.whisperx[254].text 請對著麥克風講,不要舉手或蹲下
transcript.whisperx[255].start 7749.193
transcript.whisperx[255].end 7762.621
transcript.whisperx[255].text 我跟蔡委員報告,主席有決定權。站在備詢台,他用舉手或不舉手也是一種表達。
transcript.whisperx[256].start 7778.452
transcript.whisperx[256].end 7778.472
transcript.whisperx[256].text 展開會議
transcript.whisperx[257].start 8418.587
transcript.whisperx[257].end 8422.111
transcript.whisperx[257].text 好 我們繼續開始開會 接著請高嘉瑜委員謝謝主席 請財政部部長還有八家公股行庫的董事長好 各位請出列
transcript.whisperx[258].start 8438.072
transcript.whisperx[258].end 8461.087
transcript.whisperx[258].text 委員好部長好首先有第一個問題就是之前我們也有問過公股行庫在存庫死亡後辦理定存的轉存情形那有四家公股行庫是跟民營一樣會依約自動轉期但是有四家是不轉期改活存其中包括台銀、土銀、合庫跟華銀那我們認為說這四家的這個存庫的權益明顯受到影響
transcript.whisperx[259].start 8464.889
transcript.whisperx[259].end 8486.445
transcript.whisperx[259].text 所以我們要求金管會能夠競速的處理也要求銀行公會還有財政部能夠先來做那就這個部分到底我們在等什麼為什麼其他的行庫都可以站在存戶的立場一約自動轉期唯獨這四家行庫它不能轉期而改活期呢這部分能不能跟其他行庫一樣來做呢
transcript.whisperx[260].start 8488.004
transcript.whisperx[260].end 8489.266
transcript.whisperx[260].text 可不可以回覆一下臺銀、土銀、和庫跟華銀?
transcript.whisperx[261].start 8497.742
transcript.whisperx[261].end 8519.478
transcript.whisperx[261].text 我想這沒有違反任何法律的問題啦對 但是對於存戶的權益受到影響明顯在其他的民營的行庫還有我們其他四家公國行庫都會站在存戶的立場協助他們但是只有這四家行庫雖然沒有違反法令但是問題是這四家的這個存戶明顯在權益上是矮人一截的
transcript.whisperx[262].start 8519.878
transcript.whisperx[262].end 8531.113
transcript.whisperx[262].text 那如果讓這些存戶知道是不是會去轉存到其他的公股行庫或民營行庫那對這四家存戶的利益或權益其實也受到影響所以我們認為應該要站在存戶的立場上能夠一視同仁的處理這個對於銀行來講有什麼困難嗎
transcript.whisperx[263].start 8537.501
transcript.whisperx[263].end 8550.208
transcript.whisperx[263].text 我想這個部分我們可以來研議因為事實上過去在高利率的時候也發生過這個定存但是現在全台灣就只剩你們四家臺銀、土銀、核酷跟華銀這個我說明一下可以嗎因為這個過去也有這個如果
transcript.whisperx[264].start 8558.786
transcript.whisperx[264].end 8585.701
transcript.whisperx[264].text 他變成繼續做電存後來如果中途做什麼處理的時候就有利息打折甚至不支付利息的問題所以這要全盤考量不只是為銀行是站在存戶他的立場那至少可以讓存戶有一個選擇的權利或者是怎麼樣我不知道但是目前現在全戶應該是以全戶的利益為優先的考量那當然我贊成但是這裡面涉及到因為前提是死亡後
transcript.whisperx[265].start 8586.661
transcript.whisperx[265].end 8594.047
transcript.whisperx[265].text 他如何選擇這是一個問題所以這個部分我們希望說能夠有一致性的規範來處理那所以這個最快到底什麼時候因為我們已經問了一個多月了目前你們有討論過內部上對這個有沒有一致的共識呢我想這一個我們會來討論所以大概還要多久的時間因為這裡涉及到整體法尊種種甚至裡面系統給我們一個月好嗎
transcript.whisperx[266].start 8612.381
transcript.whisperx[266].end 8617.106
transcript.whisperx[266].text 等下再一個月這已經夠多月了阿全台灣就只有你們四家捏
transcript.whisperx[267].start 8618.186
transcript.whisperx[267].end 8621.789
transcript.whisperx[267].text 另外同樣是公股行庫但是生育津貼的福利差一大截我們接到這個員工的投訴同樣都是公股行庫但是呢華南銀行他生一胎可以補助10萬第二胎是20萬
transcript.whisperx[268].start 8646.689
transcript.whisperx[268].end 8667.106
transcript.whisperx[268].text 異營是產價最多有58天產檢價、賠產檢價都有8天但是一胎是10萬、第二胎是15萬那依序下來最糟糕的就是台營跟土營喔台營跟土營不僅沒有補助而且只有留職停薪、復職率百分百相較其他的行庫來講真的是落差非常的大
transcript.whisperx[269].start 8667.546
transcript.whisperx[269].end 8681.442
transcript.whisperx[269].text 那台企銀是第一胎只有五千第二胎一萬那為什麼其他的行庫可以補助到最高十萬甚至八萬有的變成三萬是張銀那越來越差為什麼有這樣子的落差呢這個部長可以跟我們說明一下
transcript.whisperx[270].start 8682.623
transcript.whisperx[270].end 8702.246
transcript.whisperx[270].text 先跟委員報告對於飯工股的部分那是公司的治理那他們怎麼樣去訂定這個相關的補助我想這是公司內部的一個規則那至於國營行庫部分臺營跟土營這個部分因為我們也知道委員很關心這件事情我們也請因為涉及到那個薪資的問題
transcript.whisperx[271].start 8703.627
transcript.whisperx[271].end 8707.07
transcript.whisperx[271].text 韓巡行政院人事行政總署可不可以也像這樣犯公股一樣給予我們生育的一個補助答覆的是第一個是單一興奉所以在興奉裡面不能有這一個項目但是可以從職工福利金裡面去辦理
transcript.whisperx[272].start 8723.843
transcript.whisperx[272].end 8731.226
transcript.whisperx[272].text 也就是職工福利金可以因為職工福利金是從他們的營業的一個獲益裡面去抽去提撥一個所以可以在這裡面辦理那這裡面的職工福利由他們委員會來做這個決定我想這個部分財政部基本上是支持我們各公股行庫對於員工的生育的部分都給予補助因為這件事情已經討論很久了那之前也有曾經
transcript.whisperx[273].start 8747.711
transcript.whisperx[273].end 8767.299
transcript.whisperx[273].text 承諾說要提供一台10萬元的育兒津貼但後來一直都卡在財政部還有人事行政總署那既然現在已經有可以從職工福利金等等去做移撥請問最快什麼時候可以讓員工有這樣子的好消息我們當然希望盡快那當然要看財銀跟土銀在職工福利金裡面去做討論
transcript.whisperx[274].start 8768.86
transcript.whisperx[274].end 8773.282
transcript.whisperx[274].text 我想這個要讓台銀跟劉銀在台銀是不是董事長 呂董事長因為這個我想我也贊成有這一些但是誠如剛剛部長所說我們是單一信奉心知明定不含在裡面但是如果用職工福利金我們也內部討論過那這個公會會表達說這是大家的錢所以這裡面目前還沒有答案如果有答案我們一定很樂意
transcript.whisperx[275].start 8795.271
transcript.whisperx[275].end 8812.213
transcript.whisperx[275].text 政府鼓勵生育、少子化的問題等等我們公股銀行真的要帶頭作棋結果你看我們公股銀行的福利是完全沒有完全沒有,國銀行庫更是真的是只有柳子亭、新聯課補助都沒有台積銀也只有五千、彰銀只有三萬
transcript.whisperx[276].start 8813.154
transcript.whisperx[276].end 8834.241
transcript.whisperx[276].text 那矮人一截說實話對於我們同樣是公股銀行的員工來講那個落差相對剝奪感真的很大所以這些理由跟藉口我想對於這些銀行的員工來講我覺得也聽不下去所以我覺得若有誠意競速的協助財政部跟人事行政總處應該要站在鼓勵生育的立場能夠盡量的能夠撥補這樣子的經費那也討論非常久之前也曾經承諾過員工10萬塊一胎
transcript.whisperx[277].start 8842.403
transcript.whisperx[277].end 8862.76
transcript.whisperx[277].text 只有到現在還說還在研議討論那我覺得這樣子的一個誠意真的是大打折扣耶方式上是我們絕對是支持對鼓勵員工來生育養育子女但是呢因為涉及到這個信奉以及職工福利金的運用那我想這個職工福利金運用他們有一個委員會可以去做討論
transcript.whisperx[278].start 8864.121
transcript.whisperx[278].end 8864.702
transcript.whisperx[278].text 這部分是不是也一個月的時間
transcript.whisperx[279].start 8881.084
transcript.whisperx[279].end 8881.544
transcript.whisperx[279].text 員工福利委員會加速討論
transcript.whisperx[280].start 8902.95
transcript.whisperx[280].end 8926.73
transcript.whisperx[280].text 那另外今天討論這個資安的議題我們也同樣要來問就是說公股行庫目前定期所謂的資安查核到底有多少家在做都有在做總共查核多少家查核這個是第一個公股行庫這個部分的資安的查核這個是金管會的是中央目的事業主管機關
transcript.whisperx[281].start 8928.74
transcript.whisperx[281].end 8932.308
transcript.whisperx[281].text 你們現在就是要強化財稅機關跟公股行庫的資安防護嘛那你們這些財稅機關公股行庫總共有幾家
transcript.whisperx[282].start 8938.857
transcript.whisperx[282].end 8939.478
transcript.whisperx[282].text 財政部所屬的機關
transcript.whisperx[283].start 8968.237
transcript.whisperx[283].end 8968.777
transcript.whisperx[283].text 資安平台的漏洞
transcript.whisperx[284].start 8985.265
transcript.whisperx[284].end 9010.322
transcript.whisperx[284].text 包括財資中心自己的財政部發票平台就爆出資安漏洞七成的企業沿用預設的密碼這個是被白茂駭客在今年五月所揭露出來的資安缺失那如果你說五年做三次或是五年做一次為什麼自己財資中心這麼大的漏洞自己都完全不知道那所謂的資安積合到底在積合什麼有沒有積合到自己
transcript.whisperx[285].start 9010.742
transcript.whisperx[285].end 9011.482
transcript.whisperx[285].text 委員您提的這個弱密碼這個事情確實是我們這個部分已經做了
transcript.whisperx[286].start 9037.699
transcript.whisperx[286].end 9040.24
transcript.whisperx[286].text 所以這個也是大家請說我們的資安集合有沒有落實然後包括我們的報稅資料也曾經外洩等等的狀況
transcript.whisperx[287].start 9056.164
transcript.whisperx[287].end 9065.769
transcript.whisperx[287].text 所以大家對於財政部所謂的資安疑慮如何能夠進一步讓人民安心是有很多的質疑就這個部分今天的報告其實說明的還不夠清楚我們也希望財政部就這些問題能夠具體的能夠再跟我們做相關的檢討
transcript.whisperx[288].start 9073.874
transcript.whisperx[288].end 9095.567
transcript.whisperx[288].text 所以到目前為止呢我們所看到除了告訴我們會定期的集合但是其他都是照本宣科那明顯的資安的問題沒有改善那我們也認為說財政部應該要跟相關的單位就現在大家對資安的要求非常的高的情況之下如何能夠確實的去做相關的這個資安漏洞的防堵是非常的重要
transcript.whisperx[289].start 9096.647
transcript.whisperx[289].end 9125.587
transcript.whisperx[289].text 數發部來講數發部的量能也非常的有限對於我們所謂的政府機關的資安集合到底是誰要來做統籌誰要來負責還是最後大家各踢皮球這個是我們所擔心的那最後關於這個新清安的貸款因為很多人在質疑現在雖然傳出說三個月已經撥款了這個將近800多億然後有1.2萬首個族多少人在排隊但是被外界質疑的就是所謂的新清安
transcript.whisperx[290].start 9126.527
transcript.whisperx[290].end 9127.427
transcript.whisperx[290].text 這部分部長是不是也可以說明一下
transcript.whisperx[291].start 9155.536
transcript.whisperx[291].end 9156.277
transcript.whisperx[291].text 所以這個漏洞就是我剛剛所講的嗎?
transcript.whisperx[292].start 9178.894
transcript.whisperx[292].end 9205.626
transcript.whisperx[292].text 年滿18歲就可以沒有限制最高年齡的上限第二個你所謂的首購只要名下沒有自有住宅就是所謂的首購不管他曾經買過或者是剛賣出或是等等只要名下現在沒有都算所以這個就變成說對於那些真正的首購族真正的年輕人來講有沒有更優惠的方案還是說這個所謂的新清安美其名是青年安心成家但其實這個青年其實就是一個
transcript.whisperx[293].start 9210.063
transcript.whisperx[293].end 9229.328
transcript.whisperx[293].text 民意上的青年但是他是要一個沒有房子而且沒有其他的房貸才可以啊然後雖然我們像青安但是我覺得如果他需要自有的房屋來居住的話其實政府給予相關的一些協助跟補助我覺得是有必要讓這個沒有房子的人能夠買到他想要買的房子
transcript.whisperx[294].start 9229.708
transcript.whisperx[294].end 9245.471
transcript.whisperx[294].text 對因為最近有一個這個副總統候選人他也是在教年輕人買房的訣竅就是買一間賣一間買一間賣一間房價一直在漲利用這樣的方式就可以去不斷的貸款不斷的買房那如果你這個心清安再加上這個副總統候選人這樣子的言論
transcript.whisperx[295].start 9246.132
transcript.whisperx[295].end 9263.146
transcript.whisperx[295].text 是不是就是讓投機客成為一個投資的工具他不斷的鑽這個漏洞去買房去貸款然後去賣房子去炒高房價這個就是我們所擔心的啊類似這樣子的狀況會不會不斷的重複生態成為另外炒房投機客的工具如何來防堵
transcript.whisperx[296].start 9263.706
transcript.whisperx[296].end 9280.622
transcript.whisperx[296].text 不要變成這些有心人利用炒房的工具而讓真正想要買房子沒有錢的年輕人他貸不到款買不到房子這個是我們最擔心質疑的你在這個政策裡面的這些漏洞大家都看到了但是你怎麼去防堵怎麼樣去防止投機客的炒房
transcript.whisperx[297].start 9281.503
transcript.whisperx[297].end 9285.926
transcript.whisperx[297].text 委員,房屋是一個高價的資產,買進賣出買進賣出其實並不是這麼容易,然後還有稅的問題,其實短期交易在我們來說,房屋2.0的課稅是重稅的,所以不是這麼容易買進賣出買進賣出,另外我們新簽案貸款的人他必須沒有身上其他的貸款啊
transcript.whisperx[298].start 9301.235
transcript.whisperx[298].end 9302.175
transcript.whisperx[298].text 各位請回謝謝部長代委員改書面質詢接著請林楚英委員
transcript.whisperx[299].start 9335.001
transcript.whisperx[299].end 9343.008
transcript.whisperx[299].text 謝謝主席 主席有請張翠雲莊部長還有我們財政資訊中心的張文希張主任兩位請
transcript.whisperx[300].start 9347.998
transcript.whisperx[300].end 9348.118
transcript.whisperx[300].text 財政部委員
transcript.whisperx[301].start 9365.836
transcript.whisperx[301].end 9374.28
transcript.whisperx[301].text 找了一些內部相關的這些原則財政部的資安的防護措施的話那麼成立資安見檢跟數位鑑定團隊會每年來定期來辦理這個相關的財稅的弱點掃描跟滲透測試還有資安見證那麼我們知道如果說財政部是希望逐年來做一個審定的話
transcript.whisperx[302].start 9391.127
transcript.whisperx[302].end 9406.965
transcript.whisperx[302].text 但是如果根據財資中心的資通安全集合的原則的話是另外一個部分等於財政部希望是每年定期但是在財政部的這個部分有關於資安的部分就是委由財資中心來處理對嗎部長
transcript.whisperx[303].start 9409.215
transcript.whisperx[303].end 9435.885
transcript.whisperx[303].text 是是但是我們基本上還是有一些審定的原則包括比如說三年內如果你都沒有被進行過資通安全的集合的那這是第一個可能容易被抽到那第二個就是兩年內如果你有發生一些資安案件的那你可能要再進行再來就是沒有完成資安責任等級的辦理事項的就會需要所以原則上會變成是三年才集合一次嗎
transcript.whisperx[304].start 9438.546
transcript.whisperx[304].end 9462.603
transcript.whisperx[304].text 張主任報委員主要是因為那個資安健檢的人力跟時程就是沒有辦法每年每個機關都完成健檢所以我們就按照這個列選的原則去挑選最重要的先做比如說近兩年有發生資安事件就會優先那如果這幾年都表現良好那我們可能採取書面的審查
transcript.whisperx[305].start 9463.163
transcript.whisperx[305].end 9490.411
transcript.whisperx[305].text 所以在人力的部分現在整體來做資通安全集合的人力一共是多少然後他們的量能比如說以一年來說的話大概能夠完成多少的這麼多的比如說包括以公股行庫啦或者是我們的這些各個區的這個所謂稅務單位啦就以你們現有的人力跟你一年能夠處理的量能大概是多少
transcript.whisperx[306].start 9491.591
transcript.whisperx[306].end 9509.76
transcript.whisperx[306].text 這跟委員報告,因為我們現有正式的資安人員是4位只有4位對,那其他的都是兼職的職員大概是21位左右所以這樣加起來就是25位然後你們一年的量能可以查多少的單位或是多少的部門
transcript.whisperx[307].start 9510.991
transcript.whisperx[307].end 9540.391
transcript.whisperx[307].text 若點掃描這部分剛才大概是22個機關若點掃描那見證是在集合前我們前一個禮拜會做見證的作業那通常一次見證大概要花一個禮拜那因為他們這些兼職人員平常還有其他的行政業務所以目前他們安排的這個量能是很滿的所以我們除了財政部自己的見證團隊去見證之外另外我們在各機關都會都有委外的
transcript.whisperx[308].start 9547.477
transcript.whisperx[308].end 9559.549
transcript.whisperx[308].text 財政部當然是希望每年要來做一個見證但是顯然的以這個現有的人力比如說就是專職4位然後兼職25位那麼要做到每年是不可能
transcript.whisperx[309].start 9559.989
transcript.whisperx[309].end 9583.456
transcript.whisperx[309].text 最多就是說這三年內被抽一次然後或是你兩年內發生事情所以我這樣講吧一年以一年內我們本身財資中心能夠健檢或者是弱點掃描幾個單位最資安集合的部分健檢大概就是三到五個三到五個然後
transcript.whisperx[310].start 9584.625
transcript.whisperx[310].end 9600.627
transcript.whisperx[310].text 若點掃描若點掃描幾乎就是都會全部做因為若點掃描有範圍那大概是總共是22個機關機關購包括這個公股的台圖書研究公司等等好
transcript.whisperx[311].start 9601.568
transcript.whisperx[311].end 9627.048
transcript.whisperx[311].text 本席會這樣問是因為我們這個資安定期集合到底有沒有確實呢我特別製作了這個表那也是跟財經中心你們所做的資料就是說現在其實只有關務署跟土銀有達到定期集合的標準為什麼我抓這近五年是因為我們從108年之後我們開始專注於資安集合的這個部分然後除了
transcript.whisperx[312].start 9628.289
transcript.whisperx[312].end 9638.246
transcript.whisperx[312].text 這個關務署是A等級之外然後土營是有機會在我們所定的標準3年以內有機會被做到一次之外其實包括像你看
transcript.whisperx[313].start 9639.332
transcript.whisperx[313].end 9656.806
transcript.whisperx[313].text 高雄國稅局這五年來都沒有然後你自己財資中心等一下這個委員會問就是是不是財資中心集合別人那誰集合你們呢再來包括我們看比如說臺銀人壽啊臺銀的綜合證券啊臺銀的這個保金等等
transcript.whisperx[314].start 9657.907
transcript.whisperx[314].end 9674.099
transcript.whisperx[314].text 那等於是說其實我們希望達到但是卻沒有辦法實質的做可能連三年都沒辦法五年內都會有人沒有被集合到那像這個部分的時候是因為人力不足還是認為說有其他的方式來做填補就夠了
transcript.whisperx[315].start 9675.513
transcript.whisperx[315].end 9691.742
transcript.whisperx[315].text 我想我們目前填補的方式就是由委外的集合的部分那就是各機關他們比如說他會選那個英國標準協會或其他的這個集合機關來進行委外的集合來補充內部集合的不足
transcript.whisperx[316].start 9692.422
transcript.whisperx[316].end 9710.883
transcript.whisperx[316].text 一方面是由外部的機關來集合的角度會比較不一樣那如果同一年會有兩組以上的集合的人員進駐的時候那對機關來講其實壓力也比較大那像高雄國稅局這個案例是比較特殊的因為第一方面他之前沒有
transcript.whisperx[317].start 9712.204
transcript.whisperx[317].end 9722.312
transcript.whisperx[317].text 所以最近會補上嗎?因為過去都沒有這五年如果發生什麼事情的時候滲透都已成啊五年要部件滲透都會完成我列出這個表我只是來提醒就是說確實你們從一年已經退到變三年
transcript.whisperx[318].start 9739.005
transcript.whisperx[318].end 9766.345
transcript.whisperx[318].text 三年之後又有一些單位是完全這五年來都沒有來進行所謂資安定期的集合問題很可能就在這樣的過程當中出現資安的危機那麼另外當然就是部長如果財資中心是負責來集合大家但是他們卻在五年內沒有被集合到那這個部分到底是歸誰呢本席去了解的時候發現是屬於速發部要來進行所謂更高層級的資安的合併那麼
transcript.whisperx[319].start 9767.606
transcript.whisperx[319].end 9788.057
transcript.whisperx[319].text 如果是這樣的話財政部跟速發部跟資安中心在彼此財資中心它的集合的部分有跟上速發部的腳步嗎那麼速發部到底有沒有針對這些二級或是獨立機關的集合是兩年來一次那以本席所了解是這五年都沒有
transcript.whisperx[320].start 9788.877
transcript.whisperx[320].end 9804.076
transcript.whisperx[320].text 那這個部分財資中心前一陣子還有這個所謂電子發票服務平台登錄系統就出現了一些危機所以這到底是沒有接合到還是沒有配合到因為這很有可能問題就出在這裡啊
transcript.whisperx[321].start 9805.257
transcript.whisperx[321].end 9829.698
transcript.whisperx[321].text 報告委員就是財政中心的集合外部的集合是行政院會委書發部來集合我們目前從最近5年內有3次已經接受過3次集合那另外他除了你最近有接受過3次對107年111年還有109年都有接受過行政院的集合那結果呢
transcript.whisperx[322].start 9831.379
transcript.whisperx[322].end 9856.609
transcript.whisperx[322].text 結果都還不錯,都有符合標準那電子發票那個部分因為它主要跟使用者的習慣有關係所以在這個集合的部分它沒有辦法透過系統直接判讀那這部分我們在未來的集合技術裡面會增加對這個使用者這些習慣的考核那來補充彌補
transcript.whisperx[323].start 9859.17
transcript.whisperx[323].end 9882.868
transcript.whisperx[323].text 那除了外部集合我們自己內部也我們自己中興自己的同仁也會自己集然後每年會做自己集兩次那我們自己有資安科那會集合其他的像國稅跟地稅發票的一些組織一年至少集兩次那同時我們每年會請第三方的集合公司那像中興是以英國標準協會來幫我們在做整體的檢核好
transcript.whisperx[324].start 9887.992
transcript.whisperx[324].end 9916.115
transcript.whisperx[324].text 因為集合的部分就是財資中心要來負責那麼你也說到了會有人力的部分的問題但是就像本席整理出來這個表我想要更明確的了解為什麼會有些單位他們完全沒有在五年內做到這個集合我希望你們給我一份報告重點其實我很希望的是資訊安全、資通安全這些部分是現在其實最要面臨的問題那麼不要變成是好像變成是作文比賽
transcript.whisperx[325].start 9916.775
transcript.whisperx[325].end 9917.396
transcript.whisperx[325].text 接著請羅明財委員
transcript.whisperx[326].start 9941.787
transcript.whisperx[326].end 9942.968
transcript.whisperx[326].text 很快就是12月了喔12月25號是什麼日子
transcript.whisperx[327].start 9960.27
transcript.whisperx[327].end 9976.823
transcript.whisperx[327].text 自行限紀念日也是大家的聖誕節聖誕節是開心的時刻我覺得去年的時候前任的部長蘇部長曾經在這裡答應我說在去年的Christmas我特別還說這個祭祝聖誕節這個是歡樂的季節我特別還質詢了
transcript.whisperx[328].start 9983.448
transcript.whisperx[328].end 10009.063
transcript.whisperx[328].text 蘇部長答應我兩件事一個就是要廢除印花稅另外一個就是要廢除娛樂稅相關至少要修正請問一年過得很快要過去了不曉得新任的莊部長對於前任的蘇部長的承諾有沒有買單有沒有繼續來執行廢除不合時宜的印花稅
transcript.whisperx[329].start 10010.64
transcript.whisperx[329].end 10031.931
transcript.whisperx[329].text 跟委員報告硬花稅的部分在上個會期吧應該我們委員是召委的時候也召開過那硬花稅因為是也是地方稅而且金額也不小涉及到地方的財政所以各地方政府都反對要廢除硬花稅這個是這一部分那另外就是娛樂稅的部分那娛樂稅當然因為年代也久遠
transcript.whisperx[330].start 10033.191
transcript.whisperx[330].end 10048.316
transcript.whisperx[330].text 根據社會經濟環境的一些轉變也許有一些項目可以值得討論或者稅率也值得討論所以在這個部分上一次也要求也指示或做成決議要財政部再邀請地方政府來做討論財政部也在今年的8月邀請了各地方政府來做討論那22縣市裡面除了台東縣以外其他各縣市都反對廢除娛樂稅但是項目也好還有稅率的最高限
transcript.whisperx[331].start 10060.619
transcript.whisperx[331].end 10072.708
transcript.whisperx[331].text 以及相關的內容部分那地方政府都認為也可以做一些調整我想這個部分我們上次也做了一個說明是所以部長如果地方大家都贊成的話部長就會從善如流囉
transcript.whisperx[332].start 10074.528
transcript.whisperx[332].end 10080.51
transcript.whisperx[332].text 贊成哪個?贊成這兩個稅都把它廢掉?沒有,他們都沒有贊成啊。對,邏輯上,如果地方都贊成的話,那是不是你就會來執行?地方如果要贊成的話,可能他們希望的是財政自主。他們也許,譬如說娛樂稅來說,金額其實不高,大概一年就是16億到17億之間,但是他們希望這是地方稅是財政自主。
transcript.whisperx[333].start 10099.497
transcript.whisperx[333].end 10100.098
transcript.whisperx[333].text 是,如果他們要贊成的時候呢
transcript.whisperx[334].start 10119.299
transcript.whisperx[334].end 10145.352
transcript.whisperx[334].text 你這樣在邏輯上應該要找到一個平衡點就以你的聰明才智你的智慧應該要對所有的事情要迎熱而解您的意思是說如果他們都贊成的話我的意思是說你不想推的都推給地方說大家不贊成
transcript.whisperx[335].start 10146.926
transcript.whisperx[335].end 10151.569
transcript.whisperx[335].text 現在所有全國地方針對統籌分配稅款都是希望這個要增加多一點那部長是什麼時候來配合地方來全部營造他們的意識來推動呢
transcript.whisperx[336].start 10178.701
transcript.whisperx[336].end 10187.984
transcript.whisperx[336].text 統籌分配稅款這個部分涉及到財化法的修正因為目前都是按照財化法的規定還有計算的公式來算出來的地方有人反對說統籌分配稅款要減少嗎
transcript.whisperx[337].start 10193.085
transcript.whisperx[337].end 10207.761
transcript.whisperx[337].text 那當然他們都希望要增加嘛他們不會希望把這個部分減少嘛希望能夠增加那就對了 依你的邏輯當地方都說贊成要增加的時候那你就趕快增加那這個涉及到財化法的修正那財化法的修正涉及到要有共識
transcript.whisperx[338].start 10208.722
transcript.whisperx[338].end 10231.984
transcript.whisperx[338].text 您也知道這個財務法修正涉及到每個地方政府都就自己有利的條件提出來那目前來說財政部也已經有擬定了六個一個原則那六個原則也就根據這個六個原則我們也分別在含詢地方政府的意見當中我們會會診這個地方政府的意見來找到共識點部長那一天會診十幾年了我們那邊開會不是第一天對
transcript.whisperx[339].start 10233.866
transcript.whisperx[339].end 10252.123
transcript.whisperx[339].text 對,所以,如果是這樣的話,那換任何人都可以來當部長啦您知道這個共識是很難取得,沒有共識的話要修法也推動上會有它的障礙所以你要展現你的魄力跟魅力啊你怎麼樣來說服大家,你怎麼樣來站出來做對的事啊
transcript.whisperx[340].start 10252.503
transcript.whisperx[340].end 10252.523
transcript.whisperx[340].text 蘇貞昌議員
transcript.whisperx[341].start 10278.598
transcript.whisperx[341].end 10304.218
transcript.whisperx[341].text 一年多前就聖誕節快樂的他就很愉快的答應本席的廢除印花稅的部分那你什麼時候做你不會在那邊講又說那明年聖誕節再說吧我不會這樣說啦那是印花稅的部分印花稅的部分還是跟委員報告因為是地方的財政還是要地方政府大家要有共識全世界還有哪個地方收印花稅
transcript.whisperx[342].start 10304.998
transcript.whisperx[342].end 10308.519
transcript.whisperx[342].text 美國有收印花稅嗎?美國有沒有收印花稅?日本有沒有收
transcript.whisperx[343].start 10333.059
transcript.whisperx[343].end 10345.157
transcript.whisperx[343].text 這個是不合時宜的嘛,你想,裡面的基深成本又高,所有的部長,包括前書部長,院長,他也說贊成要廢除,可是就是沒完成啊。
transcript.whisperx[344].start 10346.104
transcript.whisperx[344].end 10374.631
transcript.whisperx[344].text 可是這樣是地方政府非常重要的財源這個可以說是都沒有往前進相當的可惜是對的就要堅持對不對是要努力去做好好不好另外一個請教一下國有財產署最近有很多地的問題那聽說要標大概總金額是100多億要提供種樹來減碳那不曉得內容是怎麼樣
transcript.whisperx[345].start 10378.666
transcript.whisperx[345].end 10401.925
transcript.whisperx[345].text 我們目前大概先篩選出大概100公頃來試辦這100公頃的土地大概農作生產都有問題所以是用種樹的方式那給民間大概有20年以上那甚至未來能夠取得碳錢那合作的問題那請問這個100多公頃國家稅收可以增加多少
transcript.whisperx[346].start 10402.585
transcript.whisperx[346].end 10430.446
transcript.whisperx[346].text 因為我們以前農業用地都是用這個所謂的農作的生產價格那我們這一次是用一些用公告公告地價的方式來收這不多啦因為這個可以去種樹的地方都比較偏遠那地價也都比較不高所以他的目的並不在於說收取多少國家的稅收而是能夠透過這樣一個機制來引進這個大家多種樹
transcript.whisperx[347].start 10431.947
transcript.whisperx[347].end 10455.024
transcript.whisperx[347].text 那你要100公頃大概一年可以收多少?幾十萬而已,不到百萬那請問國有地一共有幾公頃?國有地,國產署現在監管的有22萬公頃假設20萬公頃都租出去,國庫的稅收可以增加多少?22萬全部都租出去,因為每個地方的地價不一樣沒關係,你剛剛舉最爛的就是十幾萬
transcript.whisperx[348].start 10456.219
transcript.whisperx[348].end 10472.026
transcript.whisperx[348].text 跟委員報告不能這樣子算啦因為我22萬公頃裡面有一些是建築用地有一些是可以建築用地有一些是要做生態保育的大概也有一些像濕地啊這些等等是不可以做其他的活化處分的
transcript.whisperx[349].start 10472.746
transcript.whisperx[349].end 10495.737
transcript.whisperx[349].text 那請你盤點一下,過去國有財產署的地非常多,閒置在那邊,殊為可惜,應該做最好的利用。是的,每一塊土地我們都會尋找最好的利用方式。好,謝謝。那另外部長再請教一下,對於我們所有的銀行的經營,年底又到了,你覺得在公股銀行裡面做比較好的是哪一家?
transcript.whisperx[350].start 10497.252
transcript.whisperx[350].end 10519.781
transcript.whisperx[350].text 每一家都在他們的一個專業領域裡面都努力做最爛的是哪一家最爛的沒有最爛的沒有最爛的所以你都滿意他們的當然要努力可以做得更好當然應該就要做得更好我們看到公營的所有的試戰以及獲利的情況可以說是節節敗退
transcript.whisperx[351].start 10521.334
transcript.whisperx[351].end 10521.474
transcript.whisperx[351].text 請合庫蘇總經理
transcript.whisperx[352].start 10562.372
transcript.whisperx[352].end 10586.107
transcript.whisperx[352].text 蘇總以你的專業來說那你們現在對於這個美債的部分會不會加持我們會會手上還有多少的美債我們要回查一下目前因為它每個月在變動大概美債我不確定你會加持美債的原因是什麼
transcript.whisperx[353].start 10589.569
transcript.whisperx[353].end 10612.519
transcript.whisperx[353].text 貴嘉是因為主要是我們財務部分析大概美國可能會降息對 這個很簡單啊那我們看到國內很多授權公司啊手上持有的美債大概超過20幾兆啊為什麼別人都在做公股行庫裡面卻對這個沒有任何的積極的動作
transcript.whisperx[354].start 10615.609
transcript.whisperx[354].end 10637.629
transcript.whisperx[354].text 我記得裡面做的比較好大概是兆豐吧兆豐大概前幾年他們買的非常多大概賺了好幾百億然後裡面我們現場的一些董事長私底下跟我講跟操盤的人講他們都不理他
transcript.whisperx[355].start 10639.093
transcript.whisperx[355].end 10657.478
transcript.whisperx[355].text 因為公股的行庫的管理誰也不怕誰因為他們心裡只有一個管理的就是部長所以講這個就是說裡面公司的治理以及專業的經營事實上是需要加強的
transcript.whisperx[356].start 10659.468
transcript.whisperx[356].end 10686.13
transcript.whisperx[356].text 所以你看我們這個公股的模範生大概是趙鋒吧希望有空趙鋒應該要開開課幫這些董總多多來溝通灌輸一些新的理念好不好 部長可以這麼做嗎好 委員的 謝謝委員的指教好 謝謝好 謝謝 各位請回接著請曾明忠委員曾明忠 曾明忠委員不在我們請張綺路委員
transcript.whisperx[357].start 10696.357
transcript.whisperx[357].end 10696.577
transcript.whisperx[357].text 財政部莊部長
transcript.whisperx[358].start 10713.837
transcript.whisperx[358].end 10737.187
transcript.whisperx[358].text 那這個資安這個問題其實說實話我們黨團在去年的時候我們就已經開過這個記者會當時也就是希望說甚至應該這個包括你看現在很多的資訊從對岸的問題來這個攻擊我們當時也希望說金融也應該要有個所謂這個金融的汗光沿襲這個金融的兵推
transcript.whisperx[359].start 10738.087
transcript.whisperx[359].end 10744.906
transcript.whisperx[359].text 那其實當時苔穎跟昭峰就被整個誠心攻擊過那現在是這樣講其實這件事根本不是
transcript.whisperx[360].start 10746.431
transcript.whisperx[360].end 10776.151
transcript.whisperx[360].text 就是今天的新聞這個根本就是一個我們講的就是灰犀牛他本來就存在那裡而且始終都在我先請教部長一個問題雖然但今天有點可惜訴發部沒來我們訴發部我們唐部長一直說他要當這個資安的教練我不知道這個訴發部當教練這件事對我們財政部有沒有什麼或者公股行庫等等他有沒有把這教練這個做好啊現在到底有沒有告訴大家怎麼做啊
transcript.whisperx[361].start 10777.732
transcript.whisperx[361].end 10793.362
transcript.whisperx[361].text 謝謝委員對這個資安的重視 資安也是國安那抒發不因為是我們國家的一個數位發展的一個專業機構那當然如果唐部長要做教練的話當然我們應該都要配合這個政策去做都應該要的我覺得
transcript.whisperx[362].start 10796.467
transcript.whisperx[362].end 10817.076
transcript.whisperx[362].text 請教一下,從他們開始書發部成立之後到今天,你看我們今天早午有安排這樣的專訪那到底在這個過程中,到底書發部協力了多少?有沒有什麼行政的指導啊?還是做了什麼幫協助我們那麼多董做在場,對不對?到底做了多少啦?
transcript.whisperx[363].start 10818.556
transcript.whisperx[363].end 10833.664
transcript.whisperx[363].text 我們知道數位部他其實做了相當多的一些規範跟一些指引要我們來去做遵守那至於說後續的一些怎麼樣去落實就是委員最重視的是怎麼樣去落實以及他怎麼去指導這個機關的意見相關規範都有定有關政府機關的部分 蘇巴部這邊他有
transcript.whisperx[364].start 10842.748
transcript.whisperx[364].end 10861.166
transcript.whisperx[364].text 是同安全研究院來提供的技術的諮詢跟指導,包括教育訓練,金融的部分有經過你們覺得夠不夠用,或者是說他們這些給你們的指引或什麼,真的有幫這件事做好嗎?你們覺得說這樣子
transcript.whisperx[365].start 10864.969
transcript.whisperx[365].end 10886.014
transcript.whisperx[365].text 至少他們在人力跟資源上比我們充裕,我們也從這邊得到很多訊息交換的部分,對我們是有用的我坦白講是覺得今天也沒辦法,抱歉部長你們是後端的,但是前端他這個訓練的結果我真的還是看不太到,因為才會有今天這個問題,我們就直接往下
transcript.whisperx[366].start 10888.054
transcript.whisperx[366].end 10903.778
transcript.whisperx[366].text 這個坦白說我們為什麼一直有這個問題其實上次去年5月,不今年5月這個電子發票整個平台這個地方的這個漏洞而且我們也看得到它這個問題是什麼就是說你看在1789間這個公發公司上市櫃的這些有7%的這個企業它就是沿用這個預設的這個密碼
transcript.whisperx[367].start 10914.422
transcript.whisperx[367].end 10924.115
transcript.whisperx[367].text 這也就是個問題就是說甚至你看這個包括中華郵政臺鐵這些也甚至自己還出現這種問題這個問題就是這樣講我們再往下我先講就是部長您看就是說我們雖然財政部
transcript.whisperx[368].start 10931.277
transcript.whisperx[368].end 10947.054
transcript.whisperx[368].text 立議也良善我們希望說你要強制更換密碼啟動雙認證模式可是現在是這個問題是這樣就是說我們財政部我們現在主動希望他們要幹嘛幹嘛可是現在的問題是他們自己願不願意就不會 如果他們自己要是
transcript.whisperx[369].start 10951.638
transcript.whisperx[369].end 10963.329
transcript.whisperx[369].text 反正也不以為意那才會出這個漏洞我們現在雖然在政策指導上是說你要這樣這樣子甚至你要演練甚至我們還說我們每兩年要最好進行一次紅隊演練等等
transcript.whisperx[370].start 10964.85
transcript.whisperx[370].end 10982.667
transcript.whisperx[370].text 可是配合端那裡這個就有點像剛才前面一個層次事務發布到底有沒有教會大家那大家有沒有做到那再來就是你們現在正在落實的這個過程中那到底我們的公股行庫或者是誰他是自己也沒有辦法去落實那這怎麼辦部長
transcript.whisperx[371].start 10984.803
transcript.whisperx[371].end 11009.845
transcript.whisperx[371].text 對於有關您剛剛提到那個我們的落密碼這個部分就是預設密碼大家都還在用預設密碼這個是不可以就像我們銀行拿到金融卡以後他給你一個密碼你一定要去換所以我們這次是要求這個使用者我給你預設密碼你強制要去變更如果你不變更我就會不讓你進來這個然後也定期要去變更這一定要做的不做的話他就不能進來這個系統就是落實的一個做法
transcript.whisperx[372].start 11011.447
transcript.whisperx[372].end 11026.58
transcript.whisperx[372].text 對,謝謝部長其實就是希望說因為一開始我們是等於沒這個防賴機制所以大概就是說反正你給我譽證密碼我就用了反正我也不想動了那但是現在就是說可能現在我們應該是說在這個防賴機制上應該是先等於說我大概只給你這個時間
transcript.whisperx[373].start 11027.261
transcript.whisperx[373].end 11030.463
transcript.whisperx[373].text 主要是因為紅隊演練的時間比較長那這樣大概會超過五個月的時間因為它模擬供給那另外還有就是
transcript.whisperx[374].start 11056.056
transcript.whisperx[374].end 11070.516
transcript.whisperx[374].text 預算經費也比較高啦那這個如果每年做對對這個防守方向我們是防守方壓力其實可能在人力上的調配目前有一些困難
transcript.whisperx[375].start 11071.357
transcript.whisperx[375].end 11071.477
transcript.whisperx[375].text 主席
transcript.whisperx[376].start 11092.751
transcript.whisperx[376].end 11119.465
transcript.whisperx[376].text 要去設想一下,更前瞻一點,因為不然你兩年一次才做一次,這個頻率是真的太低了,甚至我覺得沒有辦法及時因應。那另外的話,這個演練的這個對象最後一句話,就是說當然我們現在是希望說是國營事業,上市貴公司,那這些是不是也應該要把它放進去,就是再擴大一點,因為我們現在主要都是在擺在我們自己納管的嘛,那你這個有沒有可能?
transcript.whisperx[377].start 11122.146
transcript.whisperx[377].end 11144.713
transcript.whisperx[377].text 技術上可能跟財政部納管的系統範圍有關那上市櫃會員目前不在我們系統納管這個跟金管會那邊也談一談嘛就是大家協力一下嘛比如說我覺得說坦白講就是說我們常常看這個問題部會設了很多回到我最終剛才講的部會設了很多但是大家好像就是各踢了皮球
transcript.whisperx[378].start 11147.534
transcript.whisperx[378].end 11166.482
transcript.whisperx[378].text 蘇發布說我當教練反正你們自己做不做是你家的事那我們現在承接我們也有我們的這個限制我們管我們的公股等等但是它每次牽連到的又可能跟直接的很多的上市櫃又有直接關係所以我覺得我們還是這個協力也要做好啦反正行政是一體的嘛應該有一個彼此那另外的話我覺得說
transcript.whisperx[379].start 11167.262
transcript.whisperx[379].end 11167.382
transcript.whisperx[379].text 陳昭華委員
transcript.whisperx[380].start 11195.862
transcript.whisperx[380].end 11197.443
transcript.whisperx[380].text 謝謝主席 請部長好 莊部長來委員好 部長好部長 我們國有地 國產署所管理的土地我們是不是每年都會編訴訟 訴訟費用
transcript.whisperx[381].start 11218.294
transcript.whisperx[381].end 11237.756
transcript.whisperx[381].text 在我們的經費裡面當然會有編一些訴訟費用訴訟費用編得很多嗎?多,大概有一定的金額吧一定金額嘛,可是國有地被不當的使用我們必須透過訴訟去解決但是我們可以濫訴嗎?
transcript.whisperx[382].start 11240.134
transcript.whisperx[382].end 11242.155
transcript.whisperx[382].text 在上個禮拜本席剛好有一個案子就是去跟監察院監委去討論討論有關那個間界的
transcript.whisperx[383].start 11263.638
transcript.whisperx[383].end 11288.701
transcript.whisperx[383].text 那是一個私有地跟公有地的地界的爭議那就是竹北地震那時候的一個處理有爭議那爭議就是說土地的負障成果圖不拿出來
transcript.whisperx[384].start 11289.653
transcript.whisperx[384].end 11316.733
transcript.whisperx[384].text 那沒有拿出來導致法院就判了錯判錯判就是私有地這邊的地主的土地就被移了5公尺那後來監察院監委這邊是地政的專業他接受本席協助這個說明的理由所以他願意再重新調查那我覺得監察院有熟悉地政
transcript.whisperx[385].start 11317.373
transcript.whisperx[385].end 11317.393
transcript.whisperx[385].text 法規確認
transcript.whisperx[386].start 11347.125
transcript.whisperx[386].end 11348.487
transcript.whisperx[386].text 以實際見解還是最優先
transcript.whisperx[387].start 11355.684
transcript.whisperx[387].end 11374.397
transcript.whisperx[387].text 今天就是說因為國參署我們是用參考圖去告這個當事人那這個土地是在新店的一個有相含的一個道路那這個道路根據水保局103年的資料還有根據新店90年
transcript.whisperx[388].start 11380.429
transcript.whisperx[388].end 11400.636
transcript.whisperx[388].text 的土地的這個證明都是證明這個湘寒是在國有地國產署管理的土地上面但是因為參考圖的這個界移動了所以讓那個湘寒地下的湘寒就跑到民地去了
transcript.whisperx[389].start 11401.124
transcript.whisperx[389].end 11402.244
transcript.whisperx[389].text 本席認為新電地震的爭議可能是他們在數位化數值化的時候數值化的時候讓這個地界移動了
transcript.whisperx[390].start 11428.495
transcript.whisperx[390].end 11456.383
transcript.whisperx[390].text 所以我不認為是國產署的事不過現在因為是國產署去提告那一審是敗訴然後又要上訴本席還是建議國產署要撤銷這個上訴那這個部分也不希望就是說還要走到監察院去讓國產署的這個訴訟這個濫訴成立本席也是建議這樣不知道我們財政部這邊看法是怎麼樣
transcript.whisperx[391].start 11457.264
transcript.whisperx[391].end 11467.399
transcript.whisperx[391].text 財政委員報告,土地戒指的鑑定,它的權責機關在地政機關所以就國產署也好,就市人也好,都是一個地主的身份,戒指鑑定的權責都在地政事務所
transcript.whisperx[392].start 11471.413
transcript.whisperx[392].end 11496.517
transcript.whisperx[392].text 問題就在這裡求員兼裁判就是說今天建界也是他作證也是他都是他所以他要怎麼亂講或者是說對當事人不利我們國參署不能跟著他們這樣子因為他也是公務員地震事故的同仁也是公務員但是我剛剛已經跟你講了竹北的那個案例竹北的那個案例就是明顯竹北地震有
transcript.whisperx[393].start 11497.657
transcript.whisperx[393].end 11520.125
transcript.whisperx[393].text 您這個個案這個心電是不是可以署長也做一個說明可以嗎好那署長可不可以撤銷這個上述跟委員報告因為大概國產署都會陸陸續續收到一些民眾的懲請那因為目前有些在辦那個土地重測的時候這裡沒有土地重測不管是重測或是
transcript.whisperx[394].start 11520.965
transcript.whisperx[394].end 11536.916
transcript.whisperx[394].text 不同的時代因為所有的設備儀器測量的結果可能會有一些差異如果今天不是因為他故意來佔用的部分我想我們會以輔導他取得合法化的使用為前提但不會以訴訟為標的
transcript.whisperx[395].start 11539.818
transcript.whisperx[395].end 11558.471
transcript.whisperx[395].text 剛剛這個個案的部分因為是他是判決說地政事務所的間接結果是有所謂的錯誤不應該講錯誤啦就前後兩次的差異那當然這個個案的部分我們是比較形象說由內政部國土策略中心來做一次的重測
transcript.whisperx[396].start 11559.372
transcript.whisperx[396].end 11559.572
transcript.whisperx[396].text 委員會主席
transcript.whisperx[397].start 11578.166
transcript.whisperx[397].end 11581.849
transcript.whisperx[397].text 我跟委員報告很多的這些人都說他沒有佔用國有土地包括委員有一些農地工廠這些等等那也都是透過實際的一個見解的結果才可以作為一個處分點
transcript.whisperx[398].start 11604.125
transcript.whisperx[398].end 11605.265
transcript.whisperx[398].text 本席剛剛已經說了像這個案子就是
transcript.whisperx[399].start 11630.592
transcript.whisperx[399].end 11644.304
transcript.whisperx[399].text 陳清仁已經提出幾十次的實際上的土地間接成果圖所以我們國產署的判斷應該不以訴訟為主要的解決方法
transcript.whisperx[400].start 11646.277
transcript.whisperx[400].end 11675.644
transcript.whisperx[400].text 瞭解嗎?那你跟我扯別的,所以我才會說,你們不要爛數嘛!政府預算編列不要用在爛數上面啊!因為所有的訴訟的費用也是政府的預算,事實上一定有它的需要啦!好啦,那如果真的有必要本席也可以代向監察院陳情。我們國產署的那個解決土地紛爭,沒有以實際見解為主要的依據,而是以訴訟為依據,我覺得真的是不妥啦!
transcript.whisperx[401].start 11676.683
transcript.whisperx[401].end 11677.804
transcript.whisperx[401].text 本次會議做如下的決定
transcript.whisperx[402].start 11706.623
transcript.whisperx[402].end 11725.722
transcript.whisperx[402].text 委員費煌泰所提書面質詢已列入記錄.刊登公報.並請財政部以書面答覆今日會議議程已進行完畢.堂友不在場委員補提書面質詢.亦必列入記錄.刊登公報.並請議事人員協助處理好謝謝各位散會