iVOD / 16374

Field Value
IVOD_ID 16374
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16374
日期 2024-12-17
會議資料.會議代碼 院會-11-2-13
會議資料.會議代碼:str 第11屆第2會期第13次會議
會議資料.屆 11
會議資料.會期 2
會議資料.會次 13
會議資料.種類 院會
會議資料.標題 第11屆第2會期第13次會議
影片種類 Full
開始時間 2024-12-17T08:30:15+08:00
結束時間 2024-12-17T16:21:00+08:00
影片長度 07:50:45
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/8398b1826590a6099fa33769801191b3ad9f551ce5fa921f78081dad70f87c4609788dd1e1f3f8125ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-12-17T09:00:00+08:00
會議名稱 第11屆第2會期第13次會議(事由:一、討論事項:本院國民黨黨團,建請院會作成決議:「勞動部前部長何佩珊及勞動力發展署北分署前分署長謝宜容應受嚴厲之譴責,並移送監察院及檢調單位,如情節重大者將撤職查辦,永不再任公職。」是否有當?請公決案等25案。(12月13日)二、同意權之行使事項:總統咨,依據憲法增修條文第6條第2項規定,提名周弘憲為考試院第十四屆院長,許舒翔為考試院第十四屆副院長,邱文彥、鄧家基、王秀紅、呂秋慧、柯麗玲、黃東益、伊萬•納威Iwan Nawi 7位為考試院第十四屆考試委員,咨請同意案。(12月17日上午)三、審計長列席報告中華民國112年度中央政府總決算審核報告案審核經過並備諮詢。(12月17日下午))
委員名稱 完整會議
委員發言時間 08:30:15 - 16:21:00
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 1350.97596875
transcript.pyannote[0].end 1351.02659375
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 1352.07284375
transcript.pyannote[1].end 1352.24159375
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 1354.80659375
transcript.pyannote[2].end 1355.07659375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 1457.32221875
transcript.pyannote[3].end 1459.21221875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 1459.83659375
transcript.pyannote[4].end 1459.97159375
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 1459.98846875
transcript.pyannote[5].end 1460.00534375
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 1480.96409375
transcript.pyannote[6].end 1481.43659375
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 1483.32659375
transcript.pyannote[7].end 1484.35596875
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 1484.62596875
transcript.pyannote[8].end 1484.67659375
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 1484.96346875
transcript.pyannote[9].end 1485.03096875
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 1485.18284375
transcript.pyannote[10].end 1485.73971875
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 1485.97596875
transcript.pyannote[11].end 1486.02659375
transcript.pyannote[12].speaker SPEAKER_06
transcript.pyannote[12].start 1502.96909375
transcript.pyannote[12].end 1505.02784375
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 1505.02784375
transcript.pyannote[13].end 1506.39471875
transcript.pyannote[14].speaker SPEAKER_06
transcript.pyannote[14].start 1505.31471875
transcript.pyannote[14].end 1506.15846875
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 1507.30596875
transcript.pyannote[15].end 1510.90034375
transcript.pyannote[16].speaker SPEAKER_04
transcript.pyannote[16].start 1507.47471875
transcript.pyannote[16].end 1510.02284375
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 1510.96784375
transcript.pyannote[17].end 1511.03534375
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 1511.89596875
transcript.pyannote[18].end 1511.96346875
transcript.pyannote[19].speaker SPEAKER_04
transcript.pyannote[19].start 1511.96346875
transcript.pyannote[19].end 1512.08159375
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 1512.08159375
transcript.pyannote[20].end 1512.09846875
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 1550.30346875
transcript.pyannote[21].end 1551.63659375
transcript.pyannote[22].speaker SPEAKER_05
transcript.pyannote[22].start 1793.67471875
transcript.pyannote[22].end 1800.23909375
transcript.pyannote[23].speaker SPEAKER_06
transcript.pyannote[23].start 1800.74534375
transcript.pyannote[23].end 1822.63221875
transcript.pyannote[24].speaker SPEAKER_06
transcript.pyannote[24].start 1823.23971875
transcript.pyannote[24].end 1830.17534375
transcript.pyannote[25].speaker SPEAKER_06
transcript.pyannote[25].start 1831.33971875
transcript.pyannote[25].end 1836.21659375
transcript.pyannote[26].speaker SPEAKER_06
transcript.pyannote[26].start 1836.46971875
transcript.pyannote[26].end 1840.35096875
transcript.pyannote[27].speaker SPEAKER_06
transcript.pyannote[27].start 1840.72221875
transcript.pyannote[27].end 1846.74659375
transcript.pyannote[28].speaker SPEAKER_06
transcript.pyannote[28].start 1847.01659375
transcript.pyannote[28].end 1851.08346875
transcript.pyannote[29].speaker SPEAKER_06
transcript.pyannote[29].start 1851.62346875
transcript.pyannote[29].end 1853.95221875
transcript.pyannote[30].speaker SPEAKER_06
transcript.pyannote[30].start 1854.18846875
transcript.pyannote[30].end 1856.73659375
transcript.pyannote[31].speaker SPEAKER_06
transcript.pyannote[31].start 1856.98971875
transcript.pyannote[31].end 1863.26721875
transcript.pyannote[32].speaker SPEAKER_06
transcript.pyannote[32].start 1864.44846875
transcript.pyannote[32].end 1878.91034375
transcript.pyannote[33].speaker SPEAKER_06
transcript.pyannote[33].start 1879.36596875
transcript.pyannote[33].end 1897.72596875
transcript.pyannote[34].speaker SPEAKER_06
transcript.pyannote[34].start 1898.01284375
transcript.pyannote[34].end 1900.59471875
transcript.pyannote[35].speaker SPEAKER_06
transcript.pyannote[35].start 1900.94909375
transcript.pyannote[35].end 1916.37284375
transcript.pyannote[36].speaker SPEAKER_06
transcript.pyannote[36].start 1916.87909375
transcript.pyannote[36].end 1943.32221875
transcript.pyannote[37].speaker SPEAKER_06
transcript.pyannote[37].start 1943.81159375
transcript.pyannote[37].end 1948.73909375
transcript.pyannote[38].speaker SPEAKER_06
transcript.pyannote[38].start 1949.75159375
transcript.pyannote[38].end 1963.18409375
transcript.pyannote[39].speaker SPEAKER_06
transcript.pyannote[39].start 1963.50471875
transcript.pyannote[39].end 1982.05034375
transcript.pyannote[40].speaker SPEAKER_05
transcript.pyannote[40].start 1982.50596875
transcript.pyannote[40].end 1997.28846875
transcript.pyannote[41].speaker SPEAKER_05
transcript.pyannote[41].start 1997.74409375
transcript.pyannote[41].end 2003.90346875
transcript.pyannote[42].speaker SPEAKER_05
transcript.pyannote[42].start 2004.47721875
transcript.pyannote[42].end 2010.55221875
transcript.pyannote[43].speaker SPEAKER_05
transcript.pyannote[43].start 2011.10909375
transcript.pyannote[43].end 2013.87659375
transcript.pyannote[44].speaker SPEAKER_05
transcript.pyannote[44].start 2013.94409375
transcript.pyannote[44].end 2016.86346875
transcript.pyannote[45].speaker SPEAKER_05
transcript.pyannote[45].start 2017.33596875
transcript.pyannote[45].end 2023.59659375
transcript.pyannote[46].speaker SPEAKER_05
transcript.pyannote[46].start 2024.20409375
transcript.pyannote[46].end 2024.47409375
transcript.pyannote[47].speaker SPEAKER_05
transcript.pyannote[47].start 2024.76096875
transcript.pyannote[47].end 2027.51159375
transcript.pyannote[48].speaker SPEAKER_05
transcript.pyannote[48].start 2028.99659375
transcript.pyannote[48].end 2034.05909375
transcript.pyannote[49].speaker SPEAKER_05
transcript.pyannote[49].start 2034.49784375
transcript.pyannote[49].end 2049.55034375
transcript.pyannote[50].speaker SPEAKER_05
transcript.pyannote[50].start 2305.79721875
transcript.pyannote[50].end 2318.03159375
transcript.pyannote[51].speaker SPEAKER_05
transcript.pyannote[51].start 2318.13284375
transcript.pyannote[51].end 2321.18721875
transcript.pyannote[52].speaker SPEAKER_05
transcript.pyannote[52].start 2321.71034375
transcript.pyannote[52].end 2326.43534375
transcript.pyannote[53].speaker SPEAKER_05
transcript.pyannote[53].start 2329.35471875
transcript.pyannote[53].end 2333.74221875
transcript.pyannote[54].speaker SPEAKER_05
transcript.pyannote[54].start 2335.31159375
transcript.pyannote[54].end 2339.90159375
transcript.pyannote[55].speaker SPEAKER_05
transcript.pyannote[55].start 2340.39096875
transcript.pyannote[55].end 2341.03221875
transcript.pyannote[56].speaker SPEAKER_05
transcript.pyannote[56].start 2341.08284375
transcript.pyannote[56].end 2345.03159375
transcript.pyannote[57].speaker SPEAKER_05
transcript.pyannote[57].start 2345.13284375
transcript.pyannote[57].end 2345.79096875
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 2351.49471875
transcript.pyannote[58].end 2351.88284375
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 2351.96721875
transcript.pyannote[59].end 2352.03471875
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 2352.54096875
transcript.pyannote[60].end 2353.04721875
transcript.pyannote[61].speaker SPEAKER_05
transcript.pyannote[61].start 6020.71034375
transcript.pyannote[61].end 6025.94159375
transcript.pyannote[62].speaker SPEAKER_07
transcript.pyannote[62].start 8801.11971875
transcript.pyannote[62].end 8808.25784375
transcript.pyannote[63].speaker SPEAKER_07
transcript.pyannote[63].start 8984.11221875
transcript.pyannote[63].end 8987.74034375
transcript.pyannote[64].speaker SPEAKER_07
transcript.pyannote[64].start 8996.07659375
transcript.pyannote[64].end 8998.69221875
transcript.pyannote[65].speaker SPEAKER_07
transcript.pyannote[65].start 9019.46534375
transcript.pyannote[65].end 9020.34284375
transcript.pyannote[66].speaker SPEAKER_07
transcript.pyannote[66].start 9020.79846875
transcript.pyannote[66].end 9021.94596875
transcript.pyannote[67].speaker SPEAKER_07
transcript.pyannote[67].start 9022.43534375
transcript.pyannote[67].end 9026.43471875
transcript.pyannote[68].speaker SPEAKER_07
transcript.pyannote[68].start 9026.90721875
transcript.pyannote[68].end 9028.44284375
transcript.pyannote[69].speaker SPEAKER_07
transcript.pyannote[69].start 9028.84784375
transcript.pyannote[69].end 9037.67346875
transcript.pyannote[70].speaker SPEAKER_07
transcript.pyannote[70].start 9114.60659375
transcript.pyannote[70].end 9122.62221875
transcript.pyannote[71].speaker SPEAKER_07
transcript.pyannote[71].start 9122.99346875
transcript.pyannote[71].end 9125.69346875
transcript.pyannote[72].speaker SPEAKER_07
transcript.pyannote[72].start 9126.19971875
transcript.pyannote[72].end 9127.87034375
transcript.pyannote[73].speaker SPEAKER_07
transcript.pyannote[73].start 9128.03909375
transcript.pyannote[73].end 9129.67596875
transcript.pyannote[74].speaker SPEAKER_07
transcript.pyannote[74].start 9129.97971875
transcript.pyannote[74].end 9134.58659375
transcript.pyannote[75].speaker SPEAKER_07
transcript.pyannote[75].start 9134.70471875
transcript.pyannote[75].end 9138.21471875
transcript.pyannote[76].speaker SPEAKER_07
transcript.pyannote[76].start 9138.72096875
transcript.pyannote[76].end 9144.00284375
transcript.pyannote[77].speaker SPEAKER_07
transcript.pyannote[77].start 9150.16221875
transcript.pyannote[77].end 9156.47346875
transcript.pyannote[78].speaker SPEAKER_07
transcript.pyannote[78].start 9157.46909375
transcript.pyannote[78].end 9158.14409375
transcript.pyannote[79].speaker SPEAKER_07
transcript.pyannote[79].start 9730.93221875
transcript.pyannote[79].end 9731.37096875
transcript.pyannote[80].speaker SPEAKER_07
transcript.pyannote[80].start 9732.75471875
transcript.pyannote[80].end 9737.98596875
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 9750.15284375
transcript.pyannote[81].end 9752.53221875
transcript.pyannote[82].speaker SPEAKER_06
transcript.pyannote[82].start 9762.28596875
transcript.pyannote[82].end 9764.14221875
transcript.pyannote[83].speaker SPEAKER_06
transcript.pyannote[83].start 9765.01971875
transcript.pyannote[83].end 9765.76221875
transcript.pyannote[84].speaker SPEAKER_06
transcript.pyannote[84].start 9766.21784375
transcript.pyannote[84].end 9766.94346875
transcript.pyannote[85].speaker SPEAKER_06
transcript.pyannote[85].start 9767.56784375
transcript.pyannote[85].end 9770.92596875
transcript.pyannote[86].speaker SPEAKER_06
transcript.pyannote[86].start 9771.49971875
transcript.pyannote[86].end 9774.58784375
transcript.pyannote[87].speaker SPEAKER_06
transcript.pyannote[87].start 9774.65534375
transcript.pyannote[87].end 9776.29221875
transcript.pyannote[88].speaker SPEAKER_06
transcript.pyannote[88].start 9776.37659375
transcript.pyannote[88].end 9786.14721875
transcript.pyannote[89].speaker SPEAKER_06
transcript.pyannote[89].start 9786.28221875
transcript.pyannote[89].end 9791.58096875
transcript.pyannote[90].speaker SPEAKER_06
transcript.pyannote[90].start 9791.86784375
transcript.pyannote[90].end 9795.09096875
transcript.pyannote[91].speaker SPEAKER_06
transcript.pyannote[91].start 9795.17534375
transcript.pyannote[91].end 9796.76159375
transcript.pyannote[92].speaker SPEAKER_06
transcript.pyannote[92].start 9796.99784375
transcript.pyannote[92].end 9798.60096875
transcript.pyannote[93].speaker SPEAKER_06
transcript.pyannote[93].start 9800.18721875
transcript.pyannote[93].end 9802.19534375
transcript.pyannote[94].speaker SPEAKER_06
transcript.pyannote[94].start 9803.02221875
transcript.pyannote[94].end 9804.79409375
transcript.pyannote[95].speaker SPEAKER_06
transcript.pyannote[95].start 9805.11471875
transcript.pyannote[95].end 9808.65846875
transcript.pyannote[96].speaker SPEAKER_06
transcript.pyannote[96].start 9809.13096875
transcript.pyannote[96].end 9810.61596875
transcript.pyannote[97].speaker SPEAKER_06
transcript.pyannote[97].start 9810.70034375
transcript.pyannote[97].end 9812.25284375
transcript.pyannote[98].speaker SPEAKER_06
transcript.pyannote[98].start 9812.48909375
transcript.pyannote[98].end 9814.02471875
transcript.pyannote[99].speaker SPEAKER_06
transcript.pyannote[99].start 9814.17659375
transcript.pyannote[99].end 9823.96409375
transcript.pyannote[100].speaker SPEAKER_06
transcript.pyannote[100].start 9824.20034375
transcript.pyannote[100].end 9829.44846875
transcript.pyannote[101].speaker SPEAKER_06
transcript.pyannote[101].start 9829.76909375
transcript.pyannote[101].end 9836.26596875
transcript.pyannote[102].speaker SPEAKER_06
transcript.pyannote[102].start 9837.56534375
transcript.pyannote[102].end 9839.48909375
transcript.pyannote[103].speaker SPEAKER_06
transcript.pyannote[103].start 9839.97846875
transcript.pyannote[103].end 9844.93971875
transcript.pyannote[104].speaker SPEAKER_06
transcript.pyannote[104].start 9845.17596875
transcript.pyannote[104].end 9850.06971875
transcript.pyannote[105].speaker SPEAKER_06
transcript.pyannote[105].start 9850.25534375
transcript.pyannote[105].end 9863.63721875
transcript.pyannote[106].speaker SPEAKER_06
transcript.pyannote[106].start 9863.77221875
transcript.pyannote[106].end 9868.81784375
transcript.pyannote[107].speaker SPEAKER_06
transcript.pyannote[107].start 9869.10471875
transcript.pyannote[107].end 9872.54721875
transcript.pyannote[108].speaker SPEAKER_06
transcript.pyannote[108].start 9873.32346875
transcript.pyannote[108].end 9875.55096875
transcript.pyannote[109].speaker SPEAKER_06
transcript.pyannote[109].start 9876.17534375
transcript.pyannote[109].end 9877.60971875
transcript.pyannote[110].speaker SPEAKER_06
transcript.pyannote[110].start 9878.13284375
transcript.pyannote[110].end 9881.35596875
transcript.pyannote[111].speaker SPEAKER_06
transcript.pyannote[111].start 9881.60909375
transcript.pyannote[111].end 9895.83471875
transcript.pyannote[112].speaker SPEAKER_06
transcript.pyannote[112].start 9896.02034375
transcript.pyannote[112].end 9907.63034375
transcript.pyannote[113].speaker SPEAKER_06
transcript.pyannote[113].start 9908.64284375
transcript.pyannote[113].end 9910.68471875
transcript.pyannote[114].speaker SPEAKER_06
transcript.pyannote[114].start 9911.29221875
transcript.pyannote[114].end 9913.16534375
transcript.pyannote[115].speaker SPEAKER_06
transcript.pyannote[115].start 9913.40159375
transcript.pyannote[115].end 9916.84409375
transcript.pyannote[116].speaker SPEAKER_06
transcript.pyannote[116].start 9917.28284375
transcript.pyannote[116].end 9920.47221875
transcript.pyannote[117].speaker SPEAKER_06
transcript.pyannote[117].start 9920.64096875
transcript.pyannote[117].end 9922.27784375
transcript.pyannote[118].speaker SPEAKER_06
transcript.pyannote[118].start 9922.54784375
transcript.pyannote[118].end 9925.72034375
transcript.pyannote[119].speaker SPEAKER_06
transcript.pyannote[119].start 9925.92284375
transcript.pyannote[119].end 9941.59971875
transcript.pyannote[120].speaker SPEAKER_06
transcript.pyannote[120].start 9941.70096875
transcript.pyannote[120].end 9945.16034375
transcript.pyannote[121].speaker SPEAKER_06
transcript.pyannote[121].start 9945.90284375
transcript.pyannote[121].end 9947.99534375
transcript.pyannote[122].speaker SPEAKER_06
transcript.pyannote[122].start 9948.51846875
transcript.pyannote[122].end 9961.59659375
transcript.pyannote[123].speaker SPEAKER_06
transcript.pyannote[123].start 9961.83284375
transcript.pyannote[123].end 9976.73346875
transcript.pyannote[124].speaker SPEAKER_06
transcript.pyannote[124].start 9976.78409375
transcript.pyannote[124].end 9980.10846875
transcript.pyannote[125].speaker SPEAKER_06
transcript.pyannote[125].start 9980.91846875
transcript.pyannote[125].end 9983.21346875
transcript.pyannote[126].speaker SPEAKER_06
transcript.pyannote[126].start 9983.65221875
transcript.pyannote[126].end 9988.42784375
transcript.pyannote[127].speaker SPEAKER_06
transcript.pyannote[127].start 9988.57971875
transcript.pyannote[127].end 10000.29096875
transcript.pyannote[128].speaker SPEAKER_06
transcript.pyannote[128].start 10000.56096875
transcript.pyannote[128].end 10002.01221875
transcript.pyannote[129].speaker SPEAKER_06
transcript.pyannote[129].start 10002.19784375
transcript.pyannote[129].end 10003.68284375
transcript.pyannote[130].speaker SPEAKER_06
transcript.pyannote[130].start 10003.81784375
transcript.pyannote[130].end 10010.17971875
transcript.pyannote[131].speaker SPEAKER_06
transcript.pyannote[131].start 10010.56784375
transcript.pyannote[131].end 10015.54596875
transcript.pyannote[132].speaker SPEAKER_06
transcript.pyannote[132].start 10016.33909375
transcript.pyannote[132].end 10018.58346875
transcript.pyannote[133].speaker SPEAKER_06
transcript.pyannote[133].start 10018.97159375
transcript.pyannote[133].end 10020.38909375
transcript.pyannote[134].speaker SPEAKER_06
transcript.pyannote[134].start 10020.62534375
transcript.pyannote[134].end 10026.81846875
transcript.pyannote[135].speaker SPEAKER_06
transcript.pyannote[135].start 10027.02096875
transcript.pyannote[135].end 10035.00284375
transcript.pyannote[136].speaker SPEAKER_06
transcript.pyannote[136].start 10035.12096875
transcript.pyannote[136].end 10039.91346875
transcript.pyannote[137].speaker SPEAKER_06
transcript.pyannote[137].start 10040.13284375
transcript.pyannote[137].end 10049.88659375
transcript.pyannote[138].speaker SPEAKER_06
transcript.pyannote[138].start 10050.79784375
transcript.pyannote[138].end 10052.90721875
transcript.pyannote[139].speaker SPEAKER_06
transcript.pyannote[139].start 10053.32909375
transcript.pyannote[139].end 10058.66159375
transcript.pyannote[140].speaker SPEAKER_06
transcript.pyannote[140].start 10059.11721875
transcript.pyannote[140].end 10061.95221875
transcript.pyannote[141].speaker SPEAKER_06
transcript.pyannote[141].start 10062.27284375
transcript.pyannote[141].end 10068.80346875
transcript.pyannote[142].speaker SPEAKER_06
transcript.pyannote[142].start 10069.02284375
transcript.pyannote[142].end 10073.83221875
transcript.pyannote[143].speaker SPEAKER_06
transcript.pyannote[143].start 10073.93346875
transcript.pyannote[143].end 10075.45221875
transcript.pyannote[144].speaker SPEAKER_06
transcript.pyannote[144].start 10075.67159375
transcript.pyannote[144].end 10079.31659375
transcript.pyannote[145].speaker SPEAKER_06
transcript.pyannote[145].start 10079.58659375
transcript.pyannote[145].end 10086.10034375
transcript.pyannote[146].speaker SPEAKER_06
transcript.pyannote[146].start 10086.57284375
transcript.pyannote[146].end 10088.74971875
transcript.pyannote[147].speaker SPEAKER_06
transcript.pyannote[147].start 10088.96909375
transcript.pyannote[147].end 10090.47096875
transcript.pyannote[148].speaker SPEAKER_06
transcript.pyannote[148].start 10090.72409375
transcript.pyannote[148].end 10096.78221875
transcript.pyannote[149].speaker SPEAKER_06
transcript.pyannote[149].start 10096.95096875
transcript.pyannote[149].end 10106.50221875
transcript.pyannote[150].speaker SPEAKER_06
transcript.pyannote[150].start 10106.67096875
transcript.pyannote[150].end 10109.70846875
transcript.pyannote[151].speaker SPEAKER_06
transcript.pyannote[151].start 10109.79284375
transcript.pyannote[151].end 10117.72409375
transcript.pyannote[152].speaker SPEAKER_06
transcript.pyannote[152].start 10117.82534375
transcript.pyannote[152].end 10119.42846875
transcript.pyannote[153].speaker SPEAKER_06
transcript.pyannote[153].start 10120.45784375
transcript.pyannote[153].end 10122.63471875
transcript.pyannote[154].speaker SPEAKER_06
transcript.pyannote[154].start 10122.90471875
transcript.pyannote[154].end 10134.76784375
transcript.pyannote[155].speaker SPEAKER_06
transcript.pyannote[155].start 10134.85221875
transcript.pyannote[155].end 10136.38784375
transcript.pyannote[156].speaker SPEAKER_06
transcript.pyannote[156].start 10136.65784375
transcript.pyannote[156].end 10139.72909375
transcript.pyannote[157].speaker SPEAKER_06
transcript.pyannote[157].start 10139.77971875
transcript.pyannote[157].end 10141.21409375
transcript.pyannote[158].speaker SPEAKER_06
transcript.pyannote[158].start 10141.48409375
transcript.pyannote[158].end 10142.95221875
transcript.pyannote[159].speaker SPEAKER_06
transcript.pyannote[159].start 10143.07034375
transcript.pyannote[159].end 10144.43721875
transcript.pyannote[160].speaker SPEAKER_06
transcript.pyannote[160].start 10144.70721875
transcript.pyannote[160].end 10148.21721875
transcript.pyannote[161].speaker SPEAKER_06
transcript.pyannote[161].start 10148.53784375
transcript.pyannote[161].end 10154.91659375
transcript.pyannote[162].speaker SPEAKER_06
transcript.pyannote[162].start 10155.79409375
transcript.pyannote[162].end 10157.97096875
transcript.pyannote[163].speaker SPEAKER_06
transcript.pyannote[163].start 10158.32534375
transcript.pyannote[163].end 10163.11784375
transcript.pyannote[164].speaker SPEAKER_06
transcript.pyannote[164].start 10163.33721875
transcript.pyannote[164].end 10176.12846875
transcript.pyannote[165].speaker SPEAKER_06
transcript.pyannote[165].start 10176.28034375
transcript.pyannote[165].end 10189.35846875
transcript.pyannote[166].speaker SPEAKER_06
transcript.pyannote[166].start 10190.43846875
transcript.pyannote[166].end 10192.59846875
transcript.pyannote[167].speaker SPEAKER_06
transcript.pyannote[167].start 10192.85159375
transcript.pyannote[167].end 10194.40409375
transcript.pyannote[168].speaker SPEAKER_06
transcript.pyannote[168].start 10194.64034375
transcript.pyannote[168].end 10211.95409375
transcript.pyannote[169].speaker SPEAKER_06
transcript.pyannote[169].start 10212.24096875
transcript.pyannote[169].end 10221.82596875
transcript.pyannote[170].speaker SPEAKER_06
transcript.pyannote[170].start 10221.85971875
transcript.pyannote[170].end 10223.54721875
transcript.pyannote[171].speaker SPEAKER_06
transcript.pyannote[171].start 10224.55971875
transcript.pyannote[171].end 10226.80409375
transcript.pyannote[172].speaker SPEAKER_06
transcript.pyannote[172].start 10227.15846875
transcript.pyannote[172].end 10228.96409375
transcript.pyannote[173].speaker SPEAKER_06
transcript.pyannote[173].start 10229.25096875
transcript.pyannote[173].end 10232.37284375
transcript.pyannote[174].speaker SPEAKER_06
transcript.pyannote[174].start 10232.91284375
transcript.pyannote[174].end 10235.73096875
transcript.pyannote[175].speaker SPEAKER_06
transcript.pyannote[175].start 10235.93346875
transcript.pyannote[175].end 10239.05534375
transcript.pyannote[176].speaker SPEAKER_06
transcript.pyannote[176].start 10239.12284375
transcript.pyannote[176].end 10247.13846875
transcript.pyannote[177].speaker SPEAKER_06
transcript.pyannote[177].start 10247.29034375
transcript.pyannote[177].end 10248.62346875
transcript.pyannote[178].speaker SPEAKER_06
transcript.pyannote[178].start 10248.96096875
transcript.pyannote[178].end 10252.33596875
transcript.pyannote[179].speaker SPEAKER_06
transcript.pyannote[179].start 10252.57221875
transcript.pyannote[179].end 10258.68096875
transcript.pyannote[180].speaker SPEAKER_06
transcript.pyannote[180].start 10259.50784375
transcript.pyannote[180].end 10261.70159375
transcript.pyannote[181].speaker SPEAKER_06
transcript.pyannote[181].start 10261.95471875
transcript.pyannote[181].end 10263.37221875
transcript.pyannote[182].speaker SPEAKER_06
transcript.pyannote[182].start 10264.13159375
transcript.pyannote[182].end 10266.84846875
transcript.pyannote[183].speaker SPEAKER_06
transcript.pyannote[183].start 10267.08471875
transcript.pyannote[183].end 10273.21034375
transcript.pyannote[184].speaker SPEAKER_06
transcript.pyannote[184].start 10273.24409375
transcript.pyannote[184].end 10279.33596875
transcript.pyannote[185].speaker SPEAKER_06
transcript.pyannote[185].start 10279.50471875
transcript.pyannote[185].end 10282.44096875
transcript.pyannote[186].speaker SPEAKER_06
transcript.pyannote[186].start 10282.54221875
transcript.pyannote[186].end 10292.04284375
transcript.pyannote[187].speaker SPEAKER_06
transcript.pyannote[187].start 10292.68409375
transcript.pyannote[187].end 10294.69221875
transcript.pyannote[188].speaker SPEAKER_06
transcript.pyannote[188].start 10294.94534375
transcript.pyannote[188].end 10296.37971875
transcript.pyannote[189].speaker SPEAKER_06
transcript.pyannote[189].start 10296.66659375
transcript.pyannote[189].end 10299.23159375
transcript.pyannote[190].speaker SPEAKER_06
transcript.pyannote[190].start 10299.41721875
transcript.pyannote[190].end 10302.11721875
transcript.pyannote[191].speaker SPEAKER_06
transcript.pyannote[191].start 10302.30284375
transcript.pyannote[191].end 10323.29534375
transcript.pyannote[192].speaker SPEAKER_06
transcript.pyannote[192].start 10324.07159375
transcript.pyannote[192].end 10326.09659375
transcript.pyannote[193].speaker SPEAKER_06
transcript.pyannote[193].start 10326.51846875
transcript.pyannote[193].end 10328.02034375
transcript.pyannote[194].speaker SPEAKER_06
transcript.pyannote[194].start 10328.47596875
transcript.pyannote[194].end 10331.15909375
transcript.pyannote[195].speaker SPEAKER_06
transcript.pyannote[195].start 10331.53034375
transcript.pyannote[195].end 10333.03221875
transcript.pyannote[196].speaker SPEAKER_06
transcript.pyannote[196].start 10333.06596875
transcript.pyannote[196].end 10334.41596875
transcript.pyannote[197].speaker SPEAKER_06
transcript.pyannote[197].start 10334.73659375
transcript.pyannote[197].end 10336.15409375
transcript.pyannote[198].speaker SPEAKER_06
transcript.pyannote[198].start 10336.27221875
transcript.pyannote[198].end 10337.74034375
transcript.pyannote[199].speaker SPEAKER_06
transcript.pyannote[199].start 10337.87534375
transcript.pyannote[199].end 10347.39284375
transcript.pyannote[200].speaker SPEAKER_06
transcript.pyannote[200].start 10347.59534375
transcript.pyannote[200].end 10351.08846875
transcript.pyannote[201].speaker SPEAKER_06
transcript.pyannote[201].start 10351.45971875
transcript.pyannote[201].end 10354.49721875
transcript.pyannote[202].speaker SPEAKER_06
transcript.pyannote[202].start 10354.68284375
transcript.pyannote[202].end 10358.73284375
transcript.pyannote[203].speaker SPEAKER_06
transcript.pyannote[203].start 10360.08284375
transcript.pyannote[203].end 10363.66034375
transcript.pyannote[204].speaker SPEAKER_06
transcript.pyannote[204].start 10363.94721875
transcript.pyannote[204].end 10391.58846875
transcript.pyannote[205].speaker SPEAKER_06
transcript.pyannote[205].start 10392.48284375
transcript.pyannote[205].end 10394.55846875
transcript.pyannote[206].speaker SPEAKER_06
transcript.pyannote[206].start 10394.87909375
transcript.pyannote[206].end 10396.75221875
transcript.pyannote[207].speaker SPEAKER_06
transcript.pyannote[207].start 10396.95471875
transcript.pyannote[207].end 10400.02596875
transcript.pyannote[208].speaker SPEAKER_06
transcript.pyannote[208].start 10400.34659375
transcript.pyannote[208].end 10419.12846875
transcript.pyannote[209].speaker SPEAKER_06
transcript.pyannote[209].start 10419.28034375
transcript.pyannote[209].end 10425.45659375
transcript.pyannote[210].speaker SPEAKER_06
transcript.pyannote[210].start 10426.11471875
transcript.pyannote[210].end 10428.27471875
transcript.pyannote[211].speaker SPEAKER_06
transcript.pyannote[211].start 10428.52784375
transcript.pyannote[211].end 10429.97909375
transcript.pyannote[212].speaker SPEAKER_06
transcript.pyannote[212].start 10430.14784375
transcript.pyannote[212].end 10436.00346875
transcript.pyannote[213].speaker SPEAKER_06
transcript.pyannote[213].start 10436.10471875
transcript.pyannote[213].end 10457.90721875
transcript.pyannote[214].speaker SPEAKER_06
transcript.pyannote[214].start 10458.46409375
transcript.pyannote[214].end 10460.74221875
transcript.pyannote[215].speaker SPEAKER_06
transcript.pyannote[215].start 10460.79284375
transcript.pyannote[215].end 10462.34534375
transcript.pyannote[216].speaker SPEAKER_06
transcript.pyannote[216].start 10462.64909375
transcript.pyannote[216].end 10465.38284375
transcript.pyannote[217].speaker SPEAKER_06
transcript.pyannote[217].start 10465.68659375
transcript.pyannote[217].end 10473.09471875
transcript.pyannote[218].speaker SPEAKER_06
transcript.pyannote[218].start 10473.12846875
transcript.pyannote[218].end 10489.95284375
transcript.pyannote[219].speaker SPEAKER_06
transcript.pyannote[219].start 10490.56034375
transcript.pyannote[219].end 10492.63596875
transcript.pyannote[220].speaker SPEAKER_06
transcript.pyannote[220].start 10493.02409375
transcript.pyannote[220].end 10494.84659375
transcript.pyannote[221].speaker SPEAKER_06
transcript.pyannote[221].start 10494.98159375
transcript.pyannote[221].end 10498.15409375
transcript.pyannote[222].speaker SPEAKER_06
transcript.pyannote[222].start 10498.23846875
transcript.pyannote[222].end 10514.06721875
transcript.pyannote[223].speaker SPEAKER_06
transcript.pyannote[223].start 10514.21909375
transcript.pyannote[223].end 10524.10784375
transcript.pyannote[224].speaker SPEAKER_06
transcript.pyannote[224].start 10524.98534375
transcript.pyannote[224].end 10527.12846875
transcript.pyannote[225].speaker SPEAKER_06
transcript.pyannote[225].start 10527.53346875
transcript.pyannote[225].end 10529.00159375
transcript.pyannote[226].speaker SPEAKER_06
transcript.pyannote[226].start 10529.08596875
transcript.pyannote[226].end 10555.54596875
transcript.pyannote[227].speaker SPEAKER_06
transcript.pyannote[227].start 10556.11971875
transcript.pyannote[227].end 10560.01784375
transcript.pyannote[228].speaker SPEAKER_06
transcript.pyannote[228].start 10560.08534375
transcript.pyannote[228].end 10586.68034375
transcript.pyannote[229].speaker SPEAKER_06
transcript.pyannote[229].start 10587.64221875
transcript.pyannote[229].end 10589.66721875
transcript.pyannote[230].speaker SPEAKER_06
transcript.pyannote[230].start 10589.81909375
transcript.pyannote[230].end 10591.27034375
transcript.pyannote[231].speaker SPEAKER_06
transcript.pyannote[231].start 10591.30409375
transcript.pyannote[231].end 10594.07159375
transcript.pyannote[232].speaker SPEAKER_06
transcript.pyannote[232].start 10594.29096875
transcript.pyannote[232].end 10597.02471875
transcript.pyannote[233].speaker SPEAKER_06
transcript.pyannote[233].start 10597.36221875
transcript.pyannote[233].end 10601.98596875
transcript.pyannote[234].speaker SPEAKER_06
transcript.pyannote[234].start 10602.25596875
transcript.pyannote[234].end 10619.02971875
transcript.pyannote[235].speaker SPEAKER_06
transcript.pyannote[235].start 10619.72159375
transcript.pyannote[235].end 10638.65534375
transcript.pyannote[236].speaker SPEAKER_06
transcript.pyannote[236].start 10638.75659375
transcript.pyannote[236].end 10651.00784375
transcript.pyannote[237].speaker SPEAKER_06
transcript.pyannote[237].start 10651.95284375
transcript.pyannote[237].end 10654.09596875
transcript.pyannote[238].speaker SPEAKER_06
transcript.pyannote[238].start 10654.36596875
transcript.pyannote[238].end 10670.43096875
transcript.pyannote[239].speaker SPEAKER_06
transcript.pyannote[239].start 10670.53221875
transcript.pyannote[239].end 10685.12909375
transcript.pyannote[240].speaker SPEAKER_06
transcript.pyannote[240].start 10686.00659375
transcript.pyannote[240].end 10717.76534375
transcript.pyannote[241].speaker SPEAKER_06
transcript.pyannote[241].start 10719.65534375
transcript.pyannote[241].end 10721.76471875
transcript.pyannote[242].speaker SPEAKER_06
transcript.pyannote[242].start 10722.27096875
transcript.pyannote[242].end 10726.81034375
transcript.pyannote[243].speaker SPEAKER_06
transcript.pyannote[243].start 10726.89471875
transcript.pyannote[243].end 10729.88159375
transcript.pyannote[244].speaker SPEAKER_06
transcript.pyannote[244].start 10730.43846875
transcript.pyannote[244].end 10752.24096875
transcript.pyannote[245].speaker SPEAKER_06
transcript.pyannote[245].start 10752.93284375
transcript.pyannote[245].end 10754.97471875
transcript.pyannote[246].speaker SPEAKER_06
transcript.pyannote[246].start 10755.16034375
transcript.pyannote[246].end 10756.67909375
transcript.pyannote[247].speaker SPEAKER_06
transcript.pyannote[247].start 10756.84784375
transcript.pyannote[247].end 10766.09534375
transcript.pyannote[248].speaker SPEAKER_06
transcript.pyannote[248].start 10766.38221875
transcript.pyannote[248].end 10786.12596875
transcript.pyannote[249].speaker SPEAKER_06
transcript.pyannote[249].start 10788.42096875
transcript.pyannote[249].end 10790.54721875
transcript.pyannote[250].speaker SPEAKER_06
transcript.pyannote[250].start 10791.18846875
transcript.pyannote[250].end 10792.99409375
transcript.pyannote[251].speaker SPEAKER_01
transcript.pyannote[251].start 10793.12909375
transcript.pyannote[251].end 10796.89221875
transcript.pyannote[252].speaker SPEAKER_06
transcript.pyannote[252].start 10797.24659375
transcript.pyannote[252].end 10798.63034375
transcript.pyannote[253].speaker SPEAKER_01
transcript.pyannote[253].start 10798.84971875
transcript.pyannote[253].end 10800.38534375
transcript.pyannote[254].speaker SPEAKER_06
transcript.pyannote[254].start 10800.62159375
transcript.pyannote[254].end 10802.02221875
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 10802.19096875
transcript.pyannote[255].end 10803.62534375
transcript.pyannote[256].speaker SPEAKER_06
transcript.pyannote[256].start 10803.86159375
transcript.pyannote[256].end 10805.26221875
transcript.pyannote[257].speaker SPEAKER_01
transcript.pyannote[257].start 10805.43096875
transcript.pyannote[257].end 10806.78096875
transcript.pyannote[258].speaker SPEAKER_06
transcript.pyannote[258].start 10807.03409375
transcript.pyannote[258].end 10808.36721875
transcript.pyannote[259].speaker SPEAKER_01
transcript.pyannote[259].start 10808.55284375
transcript.pyannote[259].end 10809.90284375
transcript.pyannote[260].speaker SPEAKER_06
transcript.pyannote[260].start 10810.15596875
transcript.pyannote[260].end 10811.53971875
transcript.pyannote[261].speaker SPEAKER_01
transcript.pyannote[261].start 10811.70846875
transcript.pyannote[261].end 10813.09221875
transcript.pyannote[262].speaker SPEAKER_06
transcript.pyannote[262].start 10813.36221875
transcript.pyannote[262].end 10815.03284375
transcript.pyannote[263].speaker SPEAKER_01
transcript.pyannote[263].start 10815.23534375
transcript.pyannote[263].end 10816.82159375
transcript.pyannote[264].speaker SPEAKER_06
transcript.pyannote[264].start 10817.15909375
transcript.pyannote[264].end 10818.57659375
transcript.pyannote[265].speaker SPEAKER_01
transcript.pyannote[265].start 10818.76221875
transcript.pyannote[265].end 10820.12909375
transcript.pyannote[266].speaker SPEAKER_06
transcript.pyannote[266].start 10820.34846875
transcript.pyannote[266].end 10821.81659375
transcript.pyannote[267].speaker SPEAKER_01
transcript.pyannote[267].start 10822.06971875
transcript.pyannote[267].end 10823.57159375
transcript.pyannote[268].speaker SPEAKER_06
transcript.pyannote[268].start 10824.38159375
transcript.pyannote[268].end 10826.71034375
transcript.pyannote[269].speaker SPEAKER_06
transcript.pyannote[269].start 10826.82846875
transcript.pyannote[269].end 10828.68471875
transcript.pyannote[270].speaker SPEAKER_01
transcript.pyannote[270].start 10828.87034375
transcript.pyannote[270].end 10832.41409375
transcript.pyannote[271].speaker SPEAKER_06
transcript.pyannote[271].start 10832.73471875
transcript.pyannote[271].end 10834.15221875
transcript.pyannote[272].speaker SPEAKER_01
transcript.pyannote[272].start 10834.21971875
transcript.pyannote[272].end 10835.68784375
transcript.pyannote[273].speaker SPEAKER_06
transcript.pyannote[273].start 10835.92409375
transcript.pyannote[273].end 10837.35846875
transcript.pyannote[274].speaker SPEAKER_01
transcript.pyannote[274].start 10837.54409375
transcript.pyannote[274].end 10838.92784375
transcript.pyannote[275].speaker SPEAKER_06
transcript.pyannote[275].start 10839.18096875
transcript.pyannote[275].end 10840.58159375
transcript.pyannote[276].speaker SPEAKER_01
transcript.pyannote[276].start 10840.86846875
transcript.pyannote[276].end 10842.23534375
transcript.pyannote[277].speaker SPEAKER_06
transcript.pyannote[277].start 10842.45471875
transcript.pyannote[277].end 10843.83846875
transcript.pyannote[278].speaker SPEAKER_01
transcript.pyannote[278].start 10844.04096875
transcript.pyannote[278].end 10845.42471875
transcript.pyannote[279].speaker SPEAKER_06
transcript.pyannote[279].start 10845.67784375
transcript.pyannote[279].end 10847.02784375
transcript.pyannote[280].speaker SPEAKER_01
transcript.pyannote[280].start 10847.24721875
transcript.pyannote[280].end 10848.59721875
transcript.pyannote[281].speaker SPEAKER_06
transcript.pyannote[281].start 10848.91784375
transcript.pyannote[281].end 10850.60534375
transcript.pyannote[282].speaker SPEAKER_01
transcript.pyannote[282].start 10850.75721875
transcript.pyannote[282].end 10852.30971875
transcript.pyannote[283].speaker SPEAKER_06
transcript.pyannote[283].start 10852.59659375
transcript.pyannote[283].end 10853.99721875
transcript.pyannote[284].speaker SPEAKER_01
transcript.pyannote[284].start 10854.19971875
transcript.pyannote[284].end 10855.49909375
transcript.pyannote[285].speaker SPEAKER_06
transcript.pyannote[285].start 10855.68471875
transcript.pyannote[285].end 10857.18659375
transcript.pyannote[286].speaker SPEAKER_01
transcript.pyannote[286].start 10857.32159375
transcript.pyannote[286].end 10858.80659375
transcript.pyannote[287].speaker SPEAKER_06
transcript.pyannote[287].start 10859.73471875
transcript.pyannote[287].end 10861.75971875
transcript.pyannote[288].speaker SPEAKER_06
transcript.pyannote[288].start 10862.02971875
transcript.pyannote[288].end 10863.43034375
transcript.pyannote[289].speaker SPEAKER_01
transcript.pyannote[289].start 10863.73409375
transcript.pyannote[289].end 10866.92346875
transcript.pyannote[290].speaker SPEAKER_06
transcript.pyannote[290].start 10867.21034375
transcript.pyannote[290].end 10868.61096875
transcript.pyannote[291].speaker SPEAKER_01
transcript.pyannote[291].start 10868.71221875
transcript.pyannote[291].end 10870.23096875
transcript.pyannote[292].speaker SPEAKER_06
transcript.pyannote[292].start 10870.38284375
transcript.pyannote[292].end 10871.81721875
transcript.pyannote[293].speaker SPEAKER_01
transcript.pyannote[293].start 10871.98596875
transcript.pyannote[293].end 10873.40346875
transcript.pyannote[294].speaker SPEAKER_06
transcript.pyannote[294].start 10873.62284375
transcript.pyannote[294].end 10874.98971875
transcript.pyannote[295].speaker SPEAKER_01
transcript.pyannote[295].start 10875.20909375
transcript.pyannote[295].end 10876.54221875
transcript.pyannote[296].speaker SPEAKER_06
transcript.pyannote[296].start 10876.71096875
transcript.pyannote[296].end 10878.09471875
transcript.pyannote[297].speaker SPEAKER_01
transcript.pyannote[297].start 10878.31409375
transcript.pyannote[297].end 10879.61346875
transcript.pyannote[298].speaker SPEAKER_06
transcript.pyannote[298].start 10879.88346875
transcript.pyannote[298].end 10881.30096875
transcript.pyannote[299].speaker SPEAKER_01
transcript.pyannote[299].start 10881.50346875
transcript.pyannote[299].end 10882.87034375
transcript.pyannote[300].speaker SPEAKER_06
transcript.pyannote[300].start 10883.19096875
transcript.pyannote[300].end 10884.89534375
transcript.pyannote[301].speaker SPEAKER_01
transcript.pyannote[301].start 10885.04721875
transcript.pyannote[301].end 10886.51534375
transcript.pyannote[302].speaker SPEAKER_06
transcript.pyannote[302].start 10886.85284375
transcript.pyannote[302].end 10888.42221875
transcript.pyannote[303].speaker SPEAKER_01
transcript.pyannote[303].start 10888.52346875
transcript.pyannote[303].end 10889.87346875
transcript.pyannote[304].speaker SPEAKER_06
transcript.pyannote[304].start 10890.10971875
transcript.pyannote[304].end 10891.98284375
transcript.pyannote[305].speaker SPEAKER_01
transcript.pyannote[305].start 10892.13471875
transcript.pyannote[305].end 10893.88971875
transcript.pyannote[306].speaker SPEAKER_06
transcript.pyannote[306].start 10894.80096875
transcript.pyannote[306].end 10896.77534375
transcript.pyannote[307].speaker SPEAKER_06
transcript.pyannote[307].start 10896.92721875
transcript.pyannote[307].end 10898.41221875
transcript.pyannote[308].speaker SPEAKER_01
transcript.pyannote[308].start 10898.56409375
transcript.pyannote[308].end 10901.75346875
transcript.pyannote[309].speaker SPEAKER_06
transcript.pyannote[309].start 10901.97284375
transcript.pyannote[309].end 10903.37346875
transcript.pyannote[310].speaker SPEAKER_01
transcript.pyannote[310].start 10903.44096875
transcript.pyannote[310].end 10904.87534375
transcript.pyannote[311].speaker SPEAKER_06
transcript.pyannote[311].start 10905.14534375
transcript.pyannote[311].end 10906.57971875
transcript.pyannote[312].speaker SPEAKER_01
transcript.pyannote[312].start 10906.64721875
transcript.pyannote[312].end 10907.98034375
transcript.pyannote[313].speaker SPEAKER_06
transcript.pyannote[313].start 10908.19971875
transcript.pyannote[313].end 10909.61721875
transcript.pyannote[314].speaker SPEAKER_01
transcript.pyannote[314].start 10909.65096875
transcript.pyannote[314].end 10910.93346875
transcript.pyannote[315].speaker SPEAKER_06
transcript.pyannote[315].start 10911.13596875
transcript.pyannote[315].end 10912.46909375
transcript.pyannote[316].speaker SPEAKER_01
transcript.pyannote[316].start 10912.48596875
transcript.pyannote[316].end 10913.76846875
transcript.pyannote[317].speaker SPEAKER_06
transcript.pyannote[317].start 10913.98784375
transcript.pyannote[317].end 10915.27034375
transcript.pyannote[318].speaker SPEAKER_01
transcript.pyannote[318].start 10915.33784375
transcript.pyannote[318].end 10916.55284375
transcript.pyannote[319].speaker SPEAKER_06
transcript.pyannote[319].start 10916.85659375
transcript.pyannote[319].end 10918.18971875
transcript.pyannote[320].speaker SPEAKER_01
transcript.pyannote[320].start 10918.47659375
transcript.pyannote[320].end 10919.72534375
transcript.pyannote[321].speaker SPEAKER_06
transcript.pyannote[321].start 10919.94471875
transcript.pyannote[321].end 10921.44659375
transcript.pyannote[322].speaker SPEAKER_01
transcript.pyannote[322].start 10921.58159375
transcript.pyannote[322].end 10922.84721875
transcript.pyannote[323].speaker SPEAKER_06
transcript.pyannote[323].start 10923.04971875
transcript.pyannote[323].end 10924.58534375
transcript.pyannote[324].speaker SPEAKER_01
transcript.pyannote[324].start 10924.73721875
transcript.pyannote[324].end 10926.12096875
transcript.pyannote[325].speaker SPEAKER_06
transcript.pyannote[325].start 10926.99846875
transcript.pyannote[325].end 10929.02346875
transcript.pyannote[326].speaker SPEAKER_06
transcript.pyannote[326].start 10929.10784375
transcript.pyannote[326].end 10930.57596875
transcript.pyannote[327].speaker SPEAKER_01
transcript.pyannote[327].start 10930.69409375
transcript.pyannote[327].end 10933.76534375
transcript.pyannote[328].speaker SPEAKER_06
transcript.pyannote[328].start 10933.90034375
transcript.pyannote[328].end 10935.33471875
transcript.pyannote[329].speaker SPEAKER_01
transcript.pyannote[329].start 10935.33471875
transcript.pyannote[329].end 10936.70159375
transcript.pyannote[330].speaker SPEAKER_06
transcript.pyannote[330].start 10936.87034375
transcript.pyannote[330].end 10938.30471875
transcript.pyannote[331].speaker SPEAKER_01
transcript.pyannote[331].start 10938.28784375
transcript.pyannote[331].end 10939.62096875
transcript.pyannote[332].speaker SPEAKER_06
transcript.pyannote[332].start 10938.32159375
transcript.pyannote[332].end 10938.33846875
transcript.pyannote[333].speaker SPEAKER_06
transcript.pyannote[333].start 10939.80659375
transcript.pyannote[333].end 10941.24096875
transcript.pyannote[334].speaker SPEAKER_01
transcript.pyannote[334].start 10941.24096875
transcript.pyannote[334].end 10942.55721875
transcript.pyannote[335].speaker SPEAKER_06
transcript.pyannote[335].start 10942.74284375
transcript.pyannote[335].end 10944.16034375
transcript.pyannote[336].speaker SPEAKER_01
transcript.pyannote[336].start 10944.19409375
transcript.pyannote[336].end 10945.45971875
transcript.pyannote[337].speaker SPEAKER_06
transcript.pyannote[337].start 10945.72971875
transcript.pyannote[337].end 10947.14721875
transcript.pyannote[338].speaker SPEAKER_01
transcript.pyannote[338].start 10947.23159375
transcript.pyannote[338].end 10948.44659375
transcript.pyannote[339].speaker SPEAKER_06
transcript.pyannote[339].start 10948.73346875
transcript.pyannote[339].end 10950.18471875
transcript.pyannote[340].speaker SPEAKER_01
transcript.pyannote[340].start 10950.28596875
transcript.pyannote[340].end 10951.48409375
transcript.pyannote[341].speaker SPEAKER_06
transcript.pyannote[341].start 10951.78784375
transcript.pyannote[341].end 10953.28971875
transcript.pyannote[342].speaker SPEAKER_01
transcript.pyannote[342].start 10953.35721875
transcript.pyannote[342].end 10954.57221875
transcript.pyannote[343].speaker SPEAKER_06
transcript.pyannote[343].start 10954.74096875
transcript.pyannote[343].end 10956.27659375
transcript.pyannote[344].speaker SPEAKER_01
transcript.pyannote[344].start 10956.51284375
transcript.pyannote[344].end 10957.91346875
transcript.pyannote[345].speaker SPEAKER_06
transcript.pyannote[345].start 10959.43221875
transcript.pyannote[345].end 10961.82846875
transcript.pyannote[346].speaker SPEAKER_06
transcript.pyannote[346].start 10962.01409375
transcript.pyannote[346].end 10963.95471875
transcript.pyannote[347].speaker SPEAKER_01
transcript.pyannote[347].start 10964.03909375
transcript.pyannote[347].end 10967.58284375
transcript.pyannote[348].speaker SPEAKER_06
transcript.pyannote[348].start 10967.92034375
transcript.pyannote[348].end 10969.25346875
transcript.pyannote[349].speaker SPEAKER_01
transcript.pyannote[349].start 10969.54034375
transcript.pyannote[349].end 10970.92409375
transcript.pyannote[350].speaker SPEAKER_06
transcript.pyannote[350].start 10971.09284375
transcript.pyannote[350].end 10972.56096875
transcript.pyannote[351].speaker SPEAKER_01
transcript.pyannote[351].start 10972.79721875
transcript.pyannote[351].end 10974.16409375
transcript.pyannote[352].speaker SPEAKER_06
transcript.pyannote[352].start 10974.28221875
transcript.pyannote[352].end 10975.69971875
transcript.pyannote[353].speaker SPEAKER_01
transcript.pyannote[353].start 10975.83471875
transcript.pyannote[353].end 10977.16784375
transcript.pyannote[354].speaker SPEAKER_06
transcript.pyannote[354].start 10977.31971875
transcript.pyannote[354].end 10978.66971875
transcript.pyannote[355].speaker SPEAKER_01
transcript.pyannote[355].start 10978.78784375
transcript.pyannote[355].end 10980.10409375
transcript.pyannote[356].speaker SPEAKER_06
transcript.pyannote[356].start 10980.23909375
transcript.pyannote[356].end 10981.72409375
transcript.pyannote[357].speaker SPEAKER_01
transcript.pyannote[357].start 10981.77471875
transcript.pyannote[357].end 10983.02346875
transcript.pyannote[358].speaker SPEAKER_06
transcript.pyannote[358].start 10983.36096875
transcript.pyannote[358].end 10985.03159375
transcript.pyannote[359].speaker SPEAKER_01
transcript.pyannote[359].start 10985.20034375
transcript.pyannote[359].end 10986.71909375
transcript.pyannote[360].speaker SPEAKER_06
transcript.pyannote[360].start 10986.97221875
transcript.pyannote[360].end 10988.45721875
transcript.pyannote[361].speaker SPEAKER_01
transcript.pyannote[361].start 10988.54159375
transcript.pyannote[361].end 10989.82409375
transcript.pyannote[362].speaker SPEAKER_06
transcript.pyannote[362].start 10990.04346875
transcript.pyannote[362].end 10991.61284375
transcript.pyannote[363].speaker SPEAKER_01
transcript.pyannote[363].start 10991.68034375
transcript.pyannote[363].end 10993.03034375
transcript.pyannote[364].speaker SPEAKER_06
transcript.pyannote[364].start 10994.09346875
transcript.pyannote[364].end 10996.18596875
transcript.pyannote[365].speaker SPEAKER_06
transcript.pyannote[365].start 10996.65846875
transcript.pyannote[365].end 10998.07596875
transcript.pyannote[366].speaker SPEAKER_01
transcript.pyannote[366].start 10998.29534375
transcript.pyannote[366].end 11001.36659375
transcript.pyannote[367].speaker SPEAKER_06
transcript.pyannote[367].start 11001.50159375
transcript.pyannote[367].end 11002.90221875
transcript.pyannote[368].speaker SPEAKER_01
transcript.pyannote[368].start 11003.02034375
transcript.pyannote[368].end 11004.42096875
transcript.pyannote[369].speaker SPEAKER_06
transcript.pyannote[369].start 11004.62346875
transcript.pyannote[369].end 11006.14221875
transcript.pyannote[370].speaker SPEAKER_01
transcript.pyannote[370].start 11006.14221875
transcript.pyannote[370].end 11007.55971875
transcript.pyannote[371].speaker SPEAKER_06
transcript.pyannote[371].start 11007.77909375
transcript.pyannote[371].end 11009.24721875
transcript.pyannote[372].speaker SPEAKER_01
transcript.pyannote[372].start 11009.38221875
transcript.pyannote[372].end 11010.73221875
transcript.pyannote[373].speaker SPEAKER_06
transcript.pyannote[373].start 11010.90096875
transcript.pyannote[373].end 11012.33534375
transcript.pyannote[374].speaker SPEAKER_01
transcript.pyannote[374].start 11012.50409375
transcript.pyannote[374].end 11013.85409375
transcript.pyannote[375].speaker SPEAKER_06
transcript.pyannote[375].start 11014.05659375
transcript.pyannote[375].end 11015.49096875
transcript.pyannote[376].speaker SPEAKER_01
transcript.pyannote[376].start 11015.65971875
transcript.pyannote[376].end 11016.97596875
transcript.pyannote[377].speaker SPEAKER_06
transcript.pyannote[377].start 11017.26284375
transcript.pyannote[377].end 11018.93346875
transcript.pyannote[378].speaker SPEAKER_01
transcript.pyannote[378].start 11019.08534375
transcript.pyannote[378].end 11020.62096875
transcript.pyannote[379].speaker SPEAKER_06
transcript.pyannote[379].start 11021.04284375
transcript.pyannote[379].end 11022.56159375
transcript.pyannote[380].speaker SPEAKER_01
transcript.pyannote[380].start 11022.69659375
transcript.pyannote[380].end 11023.99596875
transcript.pyannote[381].speaker SPEAKER_06
transcript.pyannote[381].start 11024.16471875
transcript.pyannote[381].end 11026.02096875
transcript.pyannote[382].speaker SPEAKER_01
transcript.pyannote[382].start 11026.20659375
transcript.pyannote[382].end 11027.94471875
transcript.pyannote[383].speaker SPEAKER_06
transcript.pyannote[383].start 11028.97409375
transcript.pyannote[383].end 11030.88096875
transcript.pyannote[384].speaker SPEAKER_06
transcript.pyannote[384].start 11031.10034375
transcript.pyannote[384].end 11032.56846875
transcript.pyannote[385].speaker SPEAKER_01
transcript.pyannote[385].start 11032.66971875
transcript.pyannote[385].end 11035.96034375
transcript.pyannote[386].speaker SPEAKER_06
transcript.pyannote[386].start 11036.23034375
transcript.pyannote[386].end 11037.66471875
transcript.pyannote[387].speaker SPEAKER_01
transcript.pyannote[387].start 11037.69846875
transcript.pyannote[387].end 11039.09909375
transcript.pyannote[388].speaker SPEAKER_06
transcript.pyannote[388].start 11039.30159375
transcript.pyannote[388].end 11040.71909375
transcript.pyannote[389].speaker SPEAKER_01
transcript.pyannote[389].start 11040.73596875
transcript.pyannote[389].end 11042.05221875
transcript.pyannote[390].speaker SPEAKER_06
transcript.pyannote[390].start 11042.18721875
transcript.pyannote[390].end 11043.57096875
transcript.pyannote[391].speaker SPEAKER_01
transcript.pyannote[391].start 11043.57096875
transcript.pyannote[391].end 11044.83659375
transcript.pyannote[392].speaker SPEAKER_06
transcript.pyannote[392].start 11044.93784375
transcript.pyannote[392].end 11046.28784375
transcript.pyannote[393].speaker SPEAKER_01
transcript.pyannote[393].start 11046.35534375
transcript.pyannote[393].end 11047.63784375
transcript.pyannote[394].speaker SPEAKER_06
transcript.pyannote[394].start 11047.82346875
transcript.pyannote[394].end 11049.20721875
transcript.pyannote[395].speaker SPEAKER_01
transcript.pyannote[395].start 11049.20721875
transcript.pyannote[395].end 11050.45596875
transcript.pyannote[396].speaker SPEAKER_06
transcript.pyannote[396].start 11050.70909375
transcript.pyannote[396].end 11052.07596875
transcript.pyannote[397].speaker SPEAKER_01
transcript.pyannote[397].start 11052.48096875
transcript.pyannote[397].end 11053.72971875
transcript.pyannote[398].speaker SPEAKER_06
transcript.pyannote[398].start 11053.89846875
transcript.pyannote[398].end 11055.36659375
transcript.pyannote[399].speaker SPEAKER_01
transcript.pyannote[399].start 11055.51846875
transcript.pyannote[399].end 11056.73346875
transcript.pyannote[400].speaker SPEAKER_06
transcript.pyannote[400].start 11056.95284375
transcript.pyannote[400].end 11058.40409375
transcript.pyannote[401].speaker SPEAKER_01
transcript.pyannote[401].start 11058.48846875
transcript.pyannote[401].end 11059.88909375
transcript.pyannote[402].speaker SPEAKER_06
transcript.pyannote[402].start 11060.66534375
transcript.pyannote[402].end 11062.80846875
transcript.pyannote[403].speaker SPEAKER_06
transcript.pyannote[403].start 11063.24721875
transcript.pyannote[403].end 11064.93471875
transcript.pyannote[404].speaker SPEAKER_03
transcript.pyannote[404].start 11071.53284375
transcript.pyannote[404].end 11074.24971875
transcript.pyannote[405].speaker SPEAKER_03
transcript.pyannote[405].start 11080.66221875
transcript.pyannote[405].end 11080.74659375
transcript.pyannote[406].speaker SPEAKER_01
transcript.pyannote[406].start 11080.74659375
transcript.pyannote[406].end 11081.03346875
transcript.pyannote[407].speaker SPEAKER_02
transcript.pyannote[407].start 11087.76659375
transcript.pyannote[407].end 11093.90909375
transcript.pyannote[408].speaker SPEAKER_10
transcript.pyannote[408].start 11097.36846875
transcript.pyannote[408].end 11099.03909375
transcript.pyannote[409].speaker SPEAKER_05
transcript.pyannote[409].start 11099.03909375
transcript.pyannote[409].end 11101.33409375
transcript.pyannote[410].speaker SPEAKER_07
transcript.pyannote[410].start 11101.33409375
transcript.pyannote[410].end 11103.39284375
transcript.pyannote[411].speaker SPEAKER_02
transcript.pyannote[411].start 11104.96221875
transcript.pyannote[411].end 11104.97909375
transcript.pyannote[412].speaker SPEAKER_05
transcript.pyannote[412].start 11104.97909375
transcript.pyannote[412].end 11107.96596875
transcript.pyannote[413].speaker SPEAKER_02
transcript.pyannote[413].start 11107.96596875
transcript.pyannote[413].end 11114.78346875
transcript.pyannote[414].speaker SPEAKER_07
transcript.pyannote[414].start 11117.17971875
transcript.pyannote[414].end 11117.23034375
transcript.pyannote[415].speaker SPEAKER_00
transcript.pyannote[415].start 11117.23034375
transcript.pyannote[415].end 11117.38221875
transcript.pyannote[416].speaker SPEAKER_07
transcript.pyannote[416].start 11117.38221875
transcript.pyannote[416].end 11117.39909375
transcript.pyannote[417].speaker SPEAKER_00
transcript.pyannote[417].start 11117.39909375
transcript.pyannote[417].end 11118.09096875
transcript.pyannote[418].speaker SPEAKER_00
transcript.pyannote[418].start 11119.15409375
transcript.pyannote[418].end 11124.55409375
transcript.pyannote[419].speaker SPEAKER_03
transcript.pyannote[419].start 11119.39034375
transcript.pyannote[419].end 11119.98096875
transcript.pyannote[420].speaker SPEAKER_01
transcript.pyannote[420].start 11124.55409375
transcript.pyannote[420].end 11126.56221875
transcript.pyannote[421].speaker SPEAKER_00
transcript.pyannote[421].start 11124.58784375
transcript.pyannote[421].end 11125.07721875
transcript.pyannote[422].speaker SPEAKER_01
transcript.pyannote[422].start 11126.69721875
transcript.pyannote[422].end 11128.26659375
transcript.pyannote[423].speaker SPEAKER_06
transcript.pyannote[423].start 11129.76846875
transcript.pyannote[423].end 11131.25346875
transcript.pyannote[424].speaker SPEAKER_01
transcript.pyannote[424].start 11131.33784375
transcript.pyannote[424].end 11132.72159375
transcript.pyannote[425].speaker SPEAKER_06
transcript.pyannote[425].start 11133.46409375
transcript.pyannote[425].end 11134.91534375
transcript.pyannote[426].speaker SPEAKER_01
transcript.pyannote[426].start 11135.06721875
transcript.pyannote[426].end 11136.40034375
transcript.pyannote[427].speaker SPEAKER_06
transcript.pyannote[427].start 11136.80534375
transcript.pyannote[427].end 11138.20596875
transcript.pyannote[428].speaker SPEAKER_01
transcript.pyannote[428].start 11138.39159375
transcript.pyannote[428].end 11139.75846875
transcript.pyannote[429].speaker SPEAKER_06
transcript.pyannote[429].start 11140.07909375
transcript.pyannote[429].end 11141.46284375
transcript.pyannote[430].speaker SPEAKER_01
transcript.pyannote[430].start 11141.63159375
transcript.pyannote[430].end 11143.01534375
transcript.pyannote[431].speaker SPEAKER_06
transcript.pyannote[431].start 11143.38659375
transcript.pyannote[431].end 11144.80409375
transcript.pyannote[432].speaker SPEAKER_01
transcript.pyannote[432].start 11144.97284375
transcript.pyannote[432].end 11146.33971875
transcript.pyannote[433].speaker SPEAKER_06
transcript.pyannote[433].start 11146.72784375
transcript.pyannote[433].end 11148.38159375
transcript.pyannote[434].speaker SPEAKER_01
transcript.pyannote[434].start 11148.46596875
transcript.pyannote[434].end 11149.91721875
transcript.pyannote[435].speaker SPEAKER_06
transcript.pyannote[435].start 11150.28846875
transcript.pyannote[435].end 11151.68909375
transcript.pyannote[436].speaker SPEAKER_01
transcript.pyannote[436].start 11151.90846875
transcript.pyannote[436].end 11153.17409375
transcript.pyannote[437].speaker SPEAKER_06
transcript.pyannote[437].start 11153.44409375
transcript.pyannote[437].end 11155.01346875
transcript.pyannote[438].speaker SPEAKER_01
transcript.pyannote[438].start 11155.18221875
transcript.pyannote[438].end 11156.56596875
transcript.pyannote[439].speaker SPEAKER_06
transcript.pyannote[439].start 11158.40534375
transcript.pyannote[439].end 11160.26159375
transcript.pyannote[440].speaker SPEAKER_06
transcript.pyannote[440].start 11160.58221875
transcript.pyannote[440].end 11162.05034375
transcript.pyannote[441].speaker SPEAKER_01
transcript.pyannote[441].start 11162.80971875
transcript.pyannote[441].end 11166.04971875
transcript.pyannote[442].speaker SPEAKER_06
transcript.pyannote[442].start 11166.33659375
transcript.pyannote[442].end 11167.78784375
transcript.pyannote[443].speaker SPEAKER_01
transcript.pyannote[443].start 11167.83846875
transcript.pyannote[443].end 11169.35721875
transcript.pyannote[444].speaker SPEAKER_06
transcript.pyannote[444].start 11169.67784375
transcript.pyannote[444].end 11171.16284375
transcript.pyannote[445].speaker SPEAKER_01
transcript.pyannote[445].start 11171.38221875
transcript.pyannote[445].end 11172.83346875
transcript.pyannote[446].speaker SPEAKER_06
transcript.pyannote[446].start 11173.17096875
transcript.pyannote[446].end 11174.63909375
transcript.pyannote[447].speaker SPEAKER_01
transcript.pyannote[447].start 11174.87534375
transcript.pyannote[447].end 11176.30971875
transcript.pyannote[448].speaker SPEAKER_06
transcript.pyannote[448].start 11176.52909375
transcript.pyannote[448].end 11177.87909375
transcript.pyannote[449].speaker SPEAKER_01
transcript.pyannote[449].start 11178.11534375
transcript.pyannote[449].end 11179.46534375
transcript.pyannote[450].speaker SPEAKER_06
transcript.pyannote[450].start 11179.73534375
transcript.pyannote[450].end 11181.13596875
transcript.pyannote[451].speaker SPEAKER_01
transcript.pyannote[451].start 11181.38909375
transcript.pyannote[451].end 11182.70534375
transcript.pyannote[452].speaker SPEAKER_06
transcript.pyannote[452].start 11183.04284375
transcript.pyannote[452].end 11184.39284375
transcript.pyannote[453].speaker SPEAKER_01
transcript.pyannote[453].start 11184.64596875
transcript.pyannote[453].end 11185.97909375
transcript.pyannote[454].speaker SPEAKER_06
transcript.pyannote[454].start 11186.28284375
transcript.pyannote[454].end 11187.70034375
transcript.pyannote[455].speaker SPEAKER_01
transcript.pyannote[455].start 11187.93659375
transcript.pyannote[455].end 11189.21909375
transcript.pyannote[456].speaker SPEAKER_06
transcript.pyannote[456].start 11189.40471875
transcript.pyannote[456].end 11190.99096875
transcript.pyannote[457].speaker SPEAKER_01
transcript.pyannote[457].start 11191.14284375
transcript.pyannote[457].end 11192.52659375
transcript.pyannote[458].speaker SPEAKER_06
transcript.pyannote[458].start 11193.43784375
transcript.pyannote[458].end 11195.36159375
transcript.pyannote[459].speaker SPEAKER_06
transcript.pyannote[459].start 11195.95221875
transcript.pyannote[459].end 11197.72409375
transcript.pyannote[460].speaker SPEAKER_01
transcript.pyannote[460].start 11197.87596875
transcript.pyannote[460].end 11201.09909375
transcript.pyannote[461].speaker SPEAKER_06
transcript.pyannote[461].start 11201.47034375
transcript.pyannote[461].end 11203.17471875
transcript.pyannote[462].speaker SPEAKER_01
transcript.pyannote[462].start 11203.34346875
transcript.pyannote[462].end 11204.82846875
transcript.pyannote[463].speaker SPEAKER_06
transcript.pyannote[463].start 11205.06471875
transcript.pyannote[463].end 11206.54971875
transcript.pyannote[464].speaker SPEAKER_01
transcript.pyannote[464].start 11206.68471875
transcript.pyannote[464].end 11208.15284375
transcript.pyannote[465].speaker SPEAKER_06
transcript.pyannote[465].start 11208.38909375
transcript.pyannote[465].end 11209.82346875
transcript.pyannote[466].speaker SPEAKER_01
transcript.pyannote[466].start 11209.95846875
transcript.pyannote[466].end 11211.35909375
transcript.pyannote[467].speaker SPEAKER_06
transcript.pyannote[467].start 11211.52784375
transcript.pyannote[467].end 11212.96221875
transcript.pyannote[468].speaker SPEAKER_01
transcript.pyannote[468].start 11213.09721875
transcript.pyannote[468].end 11214.51471875
transcript.pyannote[469].speaker SPEAKER_06
transcript.pyannote[469].start 11214.70034375
transcript.pyannote[469].end 11216.16846875
transcript.pyannote[470].speaker SPEAKER_01
transcript.pyannote[470].start 11216.33721875
transcript.pyannote[470].end 11217.68721875
transcript.pyannote[471].speaker SPEAKER_06
transcript.pyannote[471].start 11217.99096875
transcript.pyannote[471].end 11219.62784375
transcript.pyannote[472].speaker SPEAKER_01
transcript.pyannote[472].start 11219.77971875
transcript.pyannote[472].end 11221.34909375
transcript.pyannote[473].speaker SPEAKER_06
transcript.pyannote[473].start 11221.56846875
transcript.pyannote[473].end 11223.01971875
transcript.pyannote[474].speaker SPEAKER_01
transcript.pyannote[474].start 11223.13784375
transcript.pyannote[474].end 11224.47096875
transcript.pyannote[475].speaker SPEAKER_06
transcript.pyannote[475].start 11224.55534375
transcript.pyannote[475].end 11226.07409375
transcript.pyannote[476].speaker SPEAKER_01
transcript.pyannote[476].start 11226.19221875
transcript.pyannote[476].end 11227.66034375
transcript.pyannote[477].speaker SPEAKER_06
transcript.pyannote[477].start 11228.68971875
transcript.pyannote[477].end 11230.47846875
transcript.pyannote[478].speaker SPEAKER_06
transcript.pyannote[478].start 11230.96784375
transcript.pyannote[478].end 11232.46971875
transcript.pyannote[479].speaker SPEAKER_01
transcript.pyannote[479].start 11232.67221875
transcript.pyannote[479].end 11235.72659375
transcript.pyannote[480].speaker SPEAKER_06
transcript.pyannote[480].start 11235.91221875
transcript.pyannote[480].end 11237.29596875
transcript.pyannote[481].speaker SPEAKER_01
transcript.pyannote[481].start 11237.56596875
transcript.pyannote[481].end 11238.96659375
transcript.pyannote[482].speaker SPEAKER_06
transcript.pyannote[482].start 11239.23659375
transcript.pyannote[482].end 11240.70471875
transcript.pyannote[483].speaker SPEAKER_01
transcript.pyannote[483].start 11240.78909375
transcript.pyannote[483].end 11242.22346875
transcript.pyannote[484].speaker SPEAKER_06
transcript.pyannote[484].start 11242.42596875
transcript.pyannote[484].end 11243.84346875
transcript.pyannote[485].speaker SPEAKER_01
transcript.pyannote[485].start 11244.02909375
transcript.pyannote[485].end 11245.42971875
transcript.pyannote[486].speaker SPEAKER_06
transcript.pyannote[486].start 11245.61534375
transcript.pyannote[486].end 11247.04971875
transcript.pyannote[487].speaker SPEAKER_01
transcript.pyannote[487].start 11247.15096875
transcript.pyannote[487].end 11248.50096875
transcript.pyannote[488].speaker SPEAKER_06
transcript.pyannote[488].start 11248.78784375
transcript.pyannote[488].end 11250.20534375
transcript.pyannote[489].speaker SPEAKER_01
transcript.pyannote[489].start 11250.37409375
transcript.pyannote[489].end 11251.67346875
transcript.pyannote[490].speaker SPEAKER_06
transcript.pyannote[490].start 11251.99409375
transcript.pyannote[490].end 11253.39471875
transcript.pyannote[491].speaker SPEAKER_01
transcript.pyannote[491].start 11253.52971875
transcript.pyannote[491].end 11254.82909375
transcript.pyannote[492].speaker SPEAKER_06
transcript.pyannote[492].start 11254.99784375
transcript.pyannote[492].end 11256.48284375
transcript.pyannote[493].speaker SPEAKER_01
transcript.pyannote[493].start 11256.53346875
transcript.pyannote[493].end 11257.86659375
transcript.pyannote[494].speaker SPEAKER_06
transcript.pyannote[494].start 11258.01846875
transcript.pyannote[494].end 11259.57096875
transcript.pyannote[495].speaker SPEAKER_01
transcript.pyannote[495].start 11259.67221875
transcript.pyannote[495].end 11261.05596875
transcript.pyannote[496].speaker SPEAKER_06
transcript.pyannote[496].start 11261.84909375
transcript.pyannote[496].end 11263.85721875
transcript.pyannote[497].speaker SPEAKER_06
transcript.pyannote[497].start 11264.19471875
transcript.pyannote[497].end 11265.94971875
transcript.pyannote[498].speaker SPEAKER_01
transcript.pyannote[498].start 11266.20284375
transcript.pyannote[498].end 11269.37534375
transcript.pyannote[499].speaker SPEAKER_06
transcript.pyannote[499].start 11269.78034375
transcript.pyannote[499].end 11271.23159375
transcript.pyannote[500].speaker SPEAKER_01
transcript.pyannote[500].start 11271.29909375
transcript.pyannote[500].end 11272.73346875
transcript.pyannote[501].speaker SPEAKER_06
transcript.pyannote[501].start 11272.98659375
transcript.pyannote[501].end 11274.40409375
transcript.pyannote[502].speaker SPEAKER_01
transcript.pyannote[502].start 11274.60659375
transcript.pyannote[502].end 11275.93971875
transcript.pyannote[503].speaker SPEAKER_06
transcript.pyannote[503].start 11276.19284375
transcript.pyannote[503].end 11277.61034375
transcript.pyannote[504].speaker SPEAKER_01
transcript.pyannote[504].start 11277.74534375
transcript.pyannote[504].end 11279.14596875
transcript.pyannote[505].speaker SPEAKER_06
transcript.pyannote[505].start 11279.28096875
transcript.pyannote[505].end 11280.71534375
transcript.pyannote[506].speaker SPEAKER_01
transcript.pyannote[506].start 11280.81659375
transcript.pyannote[506].end 11282.21721875
transcript.pyannote[507].speaker SPEAKER_06
transcript.pyannote[507].start 11282.43659375
transcript.pyannote[507].end 11283.83721875
transcript.pyannote[508].speaker SPEAKER_01
transcript.pyannote[508].start 11284.07346875
transcript.pyannote[508].end 11285.42346875
transcript.pyannote[509].speaker SPEAKER_06
transcript.pyannote[509].start 11285.74409375
transcript.pyannote[509].end 11287.48221875
transcript.pyannote[510].speaker SPEAKER_01
transcript.pyannote[510].start 11287.51596875
transcript.pyannote[510].end 11288.98409375
transcript.pyannote[511].speaker SPEAKER_06
transcript.pyannote[511].start 11289.32159375
transcript.pyannote[511].end 11290.78971875
transcript.pyannote[512].speaker SPEAKER_01
transcript.pyannote[512].start 11290.89096875
transcript.pyannote[512].end 11292.20721875
transcript.pyannote[513].speaker SPEAKER_06
transcript.pyannote[513].start 11292.34221875
transcript.pyannote[513].end 11293.89471875
transcript.pyannote[514].speaker SPEAKER_01
transcript.pyannote[514].start 11294.04659375
transcript.pyannote[514].end 11295.44721875
transcript.pyannote[515].speaker SPEAKER_06
transcript.pyannote[515].start 11296.34159375
transcript.pyannote[515].end 11298.19784375
transcript.pyannote[516].speaker SPEAKER_06
transcript.pyannote[516].start 11298.53534375
transcript.pyannote[516].end 11299.91909375
transcript.pyannote[517].speaker SPEAKER_01
transcript.pyannote[517].start 11300.17221875
transcript.pyannote[517].end 11303.17596875
transcript.pyannote[518].speaker SPEAKER_06
transcript.pyannote[518].start 11303.41221875
transcript.pyannote[518].end 11304.81284375
transcript.pyannote[519].speaker SPEAKER_01
transcript.pyannote[519].start 11304.86346875
transcript.pyannote[519].end 11306.21346875
transcript.pyannote[520].speaker SPEAKER_06
transcript.pyannote[520].start 11306.53409375
transcript.pyannote[520].end 11308.00221875
transcript.pyannote[521].speaker SPEAKER_01
transcript.pyannote[521].start 11308.03596875
transcript.pyannote[521].end 11309.38596875
transcript.pyannote[522].speaker SPEAKER_06
transcript.pyannote[522].start 11309.60534375
transcript.pyannote[522].end 11311.05659375
transcript.pyannote[523].speaker SPEAKER_01
transcript.pyannote[523].start 11311.14096875
transcript.pyannote[523].end 11312.45721875
transcript.pyannote[524].speaker SPEAKER_06
transcript.pyannote[524].start 11312.69346875
transcript.pyannote[524].end 11314.06034375
transcript.pyannote[525].speaker SPEAKER_01
transcript.pyannote[525].start 11314.19534375
transcript.pyannote[525].end 11315.51159375
transcript.pyannote[526].speaker SPEAKER_06
transcript.pyannote[526].start 11315.81534375
transcript.pyannote[526].end 11317.21596875
transcript.pyannote[527].speaker SPEAKER_01
transcript.pyannote[527].start 11317.31721875
transcript.pyannote[527].end 11318.56596875
transcript.pyannote[528].speaker SPEAKER_06
transcript.pyannote[528].start 11318.92034375
transcript.pyannote[528].end 11320.25346875
transcript.pyannote[529].speaker SPEAKER_01
transcript.pyannote[529].start 11320.47284375
transcript.pyannote[529].end 11321.73846875
transcript.pyannote[530].speaker SPEAKER_06
transcript.pyannote[530].start 11322.00846875
transcript.pyannote[530].end 11323.49346875
transcript.pyannote[531].speaker SPEAKER_01
transcript.pyannote[531].start 11323.54409375
transcript.pyannote[531].end 11324.82659375
transcript.pyannote[532].speaker SPEAKER_06
transcript.pyannote[532].start 11324.94471875
transcript.pyannote[532].end 11326.54784375
transcript.pyannote[533].speaker SPEAKER_01
transcript.pyannote[533].start 11326.69971875
transcript.pyannote[533].end 11328.11721875
transcript.pyannote[534].speaker SPEAKER_06
transcript.pyannote[534].start 11328.97784375
transcript.pyannote[534].end 11331.01971875
transcript.pyannote[535].speaker SPEAKER_06
transcript.pyannote[535].start 11331.32346875
transcript.pyannote[535].end 11333.19659375
transcript.pyannote[536].speaker SPEAKER_01
transcript.pyannote[536].start 11333.31471875
transcript.pyannote[536].end 11336.58846875
transcript.pyannote[537].speaker SPEAKER_06
transcript.pyannote[537].start 11337.02721875
transcript.pyannote[537].end 11338.46159375
transcript.pyannote[538].speaker SPEAKER_01
transcript.pyannote[538].start 11338.59659375
transcript.pyannote[538].end 11340.03096875
transcript.pyannote[539].speaker SPEAKER_06
transcript.pyannote[539].start 11340.21659375
transcript.pyannote[539].end 11341.78596875
transcript.pyannote[540].speaker SPEAKER_01
transcript.pyannote[540].start 11341.80284375
transcript.pyannote[540].end 11343.16971875
transcript.pyannote[541].speaker SPEAKER_06
transcript.pyannote[541].start 11343.32159375
transcript.pyannote[541].end 11344.78971875
transcript.pyannote[542].speaker SPEAKER_01
transcript.pyannote[542].start 11344.95846875
transcript.pyannote[542].end 11346.32534375
transcript.pyannote[543].speaker SPEAKER_06
transcript.pyannote[543].start 11346.47721875
transcript.pyannote[543].end 11347.96221875
transcript.pyannote[544].speaker SPEAKER_01
transcript.pyannote[544].start 11348.02971875
transcript.pyannote[544].end 11349.37971875
transcript.pyannote[545].speaker SPEAKER_06
transcript.pyannote[545].start 11349.61596875
transcript.pyannote[545].end 11351.03346875
transcript.pyannote[546].speaker SPEAKER_01
transcript.pyannote[546].start 11351.21909375
transcript.pyannote[546].end 11352.48471875
transcript.pyannote[547].speaker SPEAKER_06
transcript.pyannote[547].start 11352.78846875
transcript.pyannote[547].end 11354.49284375
transcript.pyannote[548].speaker SPEAKER_01
transcript.pyannote[548].start 11354.59409375
transcript.pyannote[548].end 11356.09596875
transcript.pyannote[549].speaker SPEAKER_06
transcript.pyannote[549].start 11356.41659375
transcript.pyannote[549].end 11357.80034375
transcript.pyannote[550].speaker SPEAKER_01
transcript.pyannote[550].start 11357.96909375
transcript.pyannote[550].end 11359.25159375
transcript.pyannote[551].speaker SPEAKER_06
transcript.pyannote[551].start 11359.35284375
transcript.pyannote[551].end 11360.90534375
transcript.pyannote[552].speaker SPEAKER_01
transcript.pyannote[552].start 11361.00659375
transcript.pyannote[552].end 11362.44096875
transcript.pyannote[553].speaker SPEAKER_06
transcript.pyannote[553].start 11363.25096875
transcript.pyannote[553].end 11365.22534375
transcript.pyannote[554].speaker SPEAKER_06
transcript.pyannote[554].start 11365.64721875
transcript.pyannote[554].end 11367.41909375
transcript.pyannote[555].speaker SPEAKER_01
transcript.pyannote[555].start 11367.52034375
transcript.pyannote[555].end 11371.01346875
transcript.pyannote[556].speaker SPEAKER_06
transcript.pyannote[556].start 11371.36784375
transcript.pyannote[556].end 11372.68409375
transcript.pyannote[557].speaker SPEAKER_01
transcript.pyannote[557].start 11373.05534375
transcript.pyannote[557].end 11374.47284375
transcript.pyannote[558].speaker SPEAKER_06
transcript.pyannote[558].start 11374.75971875
transcript.pyannote[558].end 11376.19409375
transcript.pyannote[559].speaker SPEAKER_01
transcript.pyannote[559].start 11376.76784375
transcript.pyannote[559].end 11378.11784375
transcript.pyannote[560].speaker SPEAKER_06
transcript.pyannote[560].start 11378.37096875
transcript.pyannote[560].end 11379.87284375
transcript.pyannote[561].speaker SPEAKER_01
transcript.pyannote[561].start 11380.00784375
transcript.pyannote[561].end 11381.34096875
transcript.pyannote[562].speaker SPEAKER_06
transcript.pyannote[562].start 11381.61096875
transcript.pyannote[562].end 11383.04534375
transcript.pyannote[563].speaker SPEAKER_01
transcript.pyannote[563].start 11383.21409375
transcript.pyannote[563].end 11384.56409375
transcript.pyannote[564].speaker SPEAKER_06
transcript.pyannote[564].start 11384.80034375
transcript.pyannote[564].end 11386.28534375
transcript.pyannote[565].speaker SPEAKER_01
transcript.pyannote[565].start 11386.45409375
transcript.pyannote[565].end 11387.73659375
transcript.pyannote[566].speaker SPEAKER_06
transcript.pyannote[566].start 11388.09096875
transcript.pyannote[566].end 11389.81221875
transcript.pyannote[567].speaker SPEAKER_01
transcript.pyannote[567].start 11389.87971875
transcript.pyannote[567].end 11391.34784375
transcript.pyannote[568].speaker SPEAKER_06
transcript.pyannote[568].start 11391.65159375
transcript.pyannote[568].end 11393.10284375
transcript.pyannote[569].speaker SPEAKER_01
transcript.pyannote[569].start 11393.25471875
transcript.pyannote[569].end 11394.53721875
transcript.pyannote[570].speaker SPEAKER_06
transcript.pyannote[570].start 11394.77346875
transcript.pyannote[570].end 11396.27534375
transcript.pyannote[571].speaker SPEAKER_01
transcript.pyannote[571].start 11396.47784375
transcript.pyannote[571].end 11397.89534375
transcript.pyannote[572].speaker SPEAKER_06
transcript.pyannote[572].start 11399.07659375
transcript.pyannote[572].end 11401.23659375
transcript.pyannote[573].speaker SPEAKER_06
transcript.pyannote[573].start 11401.60784375
transcript.pyannote[573].end 11403.02534375
transcript.pyannote[574].speaker SPEAKER_01
transcript.pyannote[574].start 11403.24471875
transcript.pyannote[574].end 11406.78846875
transcript.pyannote[575].speaker SPEAKER_06
transcript.pyannote[575].start 11407.05846875
transcript.pyannote[575].end 11408.52659375
transcript.pyannote[576].speaker SPEAKER_01
transcript.pyannote[576].start 11408.61096875
transcript.pyannote[576].end 11410.02846875
transcript.pyannote[577].speaker SPEAKER_06
transcript.pyannote[577].start 11410.23096875
transcript.pyannote[577].end 11411.69909375
transcript.pyannote[578].speaker SPEAKER_01
transcript.pyannote[578].start 11411.74971875
transcript.pyannote[578].end 11413.08284375
transcript.pyannote[579].speaker SPEAKER_06
transcript.pyannote[579].start 11413.31909375
transcript.pyannote[579].end 11414.70284375
transcript.pyannote[580].speaker SPEAKER_01
transcript.pyannote[580].start 11414.83784375
transcript.pyannote[580].end 11416.17096875
transcript.pyannote[581].speaker SPEAKER_06
transcript.pyannote[581].start 11416.30596875
transcript.pyannote[581].end 11417.70659375
transcript.pyannote[582].speaker SPEAKER_01
transcript.pyannote[582].start 11417.80784375
transcript.pyannote[582].end 11419.15784375
transcript.pyannote[583].speaker SPEAKER_06
transcript.pyannote[583].start 11419.37721875
transcript.pyannote[583].end 11420.81159375
transcript.pyannote[584].speaker SPEAKER_01
transcript.pyannote[584].start 11420.96346875
transcript.pyannote[584].end 11422.26284375
transcript.pyannote[585].speaker SPEAKER_06
transcript.pyannote[585].start 11422.56659375
transcript.pyannote[585].end 11424.00096875
transcript.pyannote[586].speaker SPEAKER_01
transcript.pyannote[586].start 11424.10221875
transcript.pyannote[586].end 11425.43534375
transcript.pyannote[587].speaker SPEAKER_06
transcript.pyannote[587].start 11425.62096875
transcript.pyannote[587].end 11427.08909375
transcript.pyannote[588].speaker SPEAKER_01
transcript.pyannote[588].start 11427.17346875
transcript.pyannote[588].end 11428.43909375
transcript.pyannote[589].speaker SPEAKER_06
transcript.pyannote[589].start 11428.55721875
transcript.pyannote[589].end 11430.09284375
transcript.pyannote[590].speaker SPEAKER_01
transcript.pyannote[590].start 11430.21096875
transcript.pyannote[590].end 11431.64534375
transcript.pyannote[591].speaker SPEAKER_06
transcript.pyannote[591].start 11432.26971875
transcript.pyannote[591].end 11434.49721875
transcript.pyannote[592].speaker SPEAKER_06
transcript.pyannote[592].start 11434.75034375
transcript.pyannote[592].end 11436.64034375
transcript.pyannote[593].speaker SPEAKER_01
transcript.pyannote[593].start 11436.72471875
transcript.pyannote[593].end 11440.25159375
transcript.pyannote[594].speaker SPEAKER_06
transcript.pyannote[594].start 11440.52159375
transcript.pyannote[594].end 11441.97284375
transcript.pyannote[595].speaker SPEAKER_01
transcript.pyannote[595].start 11442.02346875
transcript.pyannote[595].end 11443.44096875
transcript.pyannote[596].speaker SPEAKER_06
transcript.pyannote[596].start 11443.74471875
transcript.pyannote[596].end 11445.21284375
transcript.pyannote[597].speaker SPEAKER_01
transcript.pyannote[597].start 11445.44909375
transcript.pyannote[597].end 11446.79909375
transcript.pyannote[598].speaker SPEAKER_06
transcript.pyannote[598].start 11447.05221875
transcript.pyannote[598].end 11448.55409375
transcript.pyannote[599].speaker SPEAKER_01
transcript.pyannote[599].start 11448.79034375
transcript.pyannote[599].end 11450.19096875
transcript.pyannote[600].speaker SPEAKER_06
transcript.pyannote[600].start 11450.35971875
transcript.pyannote[600].end 11451.76034375
transcript.pyannote[601].speaker SPEAKER_01
transcript.pyannote[601].start 11451.89534375
transcript.pyannote[601].end 11453.24534375
transcript.pyannote[602].speaker SPEAKER_06
transcript.pyannote[602].start 11453.41409375
transcript.pyannote[602].end 11454.88221875
transcript.pyannote[603].speaker SPEAKER_01
transcript.pyannote[603].start 11455.00034375
transcript.pyannote[603].end 11456.36721875
transcript.pyannote[604].speaker SPEAKER_06
transcript.pyannote[604].start 11456.56971875
transcript.pyannote[604].end 11458.30784375
transcript.pyannote[605].speaker SPEAKER_01
transcript.pyannote[605].start 11458.37534375
transcript.pyannote[605].end 11459.84346875
transcript.pyannote[606].speaker SPEAKER_06
transcript.pyannote[606].start 11460.24846875
transcript.pyannote[606].end 11461.69971875
transcript.pyannote[607].speaker SPEAKER_01
transcript.pyannote[607].start 11461.85159375
transcript.pyannote[607].end 11463.15096875
transcript.pyannote[608].speaker SPEAKER_06
transcript.pyannote[608].start 11463.30284375
transcript.pyannote[608].end 11464.87221875
transcript.pyannote[609].speaker SPEAKER_01
transcript.pyannote[609].start 11465.07471875
transcript.pyannote[609].end 11466.47534375
transcript.pyannote[610].speaker SPEAKER_06
transcript.pyannote[610].start 11467.35284375
transcript.pyannote[610].end 11469.58034375
transcript.pyannote[611].speaker SPEAKER_06
transcript.pyannote[611].start 11469.85034375
transcript.pyannote[611].end 11471.68971875
transcript.pyannote[612].speaker SPEAKER_01
transcript.pyannote[612].start 11471.82471875
transcript.pyannote[612].end 11475.31784375
transcript.pyannote[613].speaker SPEAKER_06
transcript.pyannote[613].start 11475.50346875
transcript.pyannote[613].end 11476.98846875
transcript.pyannote[614].speaker SPEAKER_01
transcript.pyannote[614].start 11476.98846875
transcript.pyannote[614].end 11478.35534375
transcript.pyannote[615].speaker SPEAKER_06
transcript.pyannote[615].start 11478.59159375
transcript.pyannote[615].end 11480.12721875
transcript.pyannote[616].speaker SPEAKER_01
transcript.pyannote[616].start 11480.24534375
transcript.pyannote[616].end 11481.64596875
transcript.pyannote[617].speaker SPEAKER_06
transcript.pyannote[617].start 11481.81471875
transcript.pyannote[617].end 11483.23221875
transcript.pyannote[618].speaker SPEAKER_01
transcript.pyannote[618].start 11483.35034375
transcript.pyannote[618].end 11484.73409375
transcript.pyannote[619].speaker SPEAKER_06
transcript.pyannote[619].start 11484.86909375
transcript.pyannote[619].end 11486.28659375
transcript.pyannote[620].speaker SPEAKER_01
transcript.pyannote[620].start 11486.35409375
transcript.pyannote[620].end 11487.68721875
transcript.pyannote[621].speaker SPEAKER_06
transcript.pyannote[621].start 11487.82221875
transcript.pyannote[621].end 11489.34096875
transcript.pyannote[622].speaker SPEAKER_01
transcript.pyannote[622].start 11489.40846875
transcript.pyannote[622].end 11490.69096875
transcript.pyannote[623].speaker SPEAKER_06
transcript.pyannote[623].start 11491.01159375
transcript.pyannote[623].end 11492.68221875
transcript.pyannote[624].speaker SPEAKER_01
transcript.pyannote[624].start 11492.81721875
transcript.pyannote[624].end 11494.36971875
transcript.pyannote[625].speaker SPEAKER_06
transcript.pyannote[625].start 11494.67346875
transcript.pyannote[625].end 11496.19221875
transcript.pyannote[626].speaker SPEAKER_01
transcript.pyannote[626].start 11496.22596875
transcript.pyannote[626].end 11497.49159375
transcript.pyannote[627].speaker SPEAKER_06
transcript.pyannote[627].start 11497.64346875
transcript.pyannote[627].end 11499.28034375
transcript.pyannote[628].speaker SPEAKER_01
transcript.pyannote[628].start 11499.34784375
transcript.pyannote[628].end 11500.81596875
transcript.pyannote[629].speaker SPEAKER_06
transcript.pyannote[629].start 11502.18284375
transcript.pyannote[629].end 11504.12346875
transcript.pyannote[630].speaker SPEAKER_06
transcript.pyannote[630].start 11504.64659375
transcript.pyannote[630].end 11506.41846875
transcript.pyannote[631].speaker SPEAKER_01
transcript.pyannote[631].start 11506.57034375
transcript.pyannote[631].end 11510.11409375
transcript.pyannote[632].speaker SPEAKER_06
transcript.pyannote[632].start 11510.29971875
transcript.pyannote[632].end 11511.75096875
transcript.pyannote[633].speaker SPEAKER_01
transcript.pyannote[633].start 11511.76784375
transcript.pyannote[633].end 11513.23596875
transcript.pyannote[634].speaker SPEAKER_06
transcript.pyannote[634].start 11513.38784375
transcript.pyannote[634].end 11514.87284375
transcript.pyannote[635].speaker SPEAKER_01
transcript.pyannote[635].start 11514.95721875
transcript.pyannote[635].end 11516.39159375
transcript.pyannote[636].speaker SPEAKER_06
transcript.pyannote[636].start 11516.57721875
transcript.pyannote[636].end 11518.07909375
transcript.pyannote[637].speaker SPEAKER_01
transcript.pyannote[637].start 11518.11284375
transcript.pyannote[637].end 11519.41221875
transcript.pyannote[638].speaker SPEAKER_06
transcript.pyannote[638].start 11519.59784375
transcript.pyannote[638].end 11521.03221875
transcript.pyannote[639].speaker SPEAKER_01
transcript.pyannote[639].start 11521.11659375
transcript.pyannote[639].end 11522.48346875
transcript.pyannote[640].speaker SPEAKER_06
transcript.pyannote[640].start 11522.70284375
transcript.pyannote[640].end 11524.08659375
transcript.pyannote[641].speaker SPEAKER_01
transcript.pyannote[641].start 11524.25534375
transcript.pyannote[641].end 11525.55471875
transcript.pyannote[642].speaker SPEAKER_06
transcript.pyannote[642].start 11525.87534375
transcript.pyannote[642].end 11527.56284375
transcript.pyannote[643].speaker SPEAKER_01
transcript.pyannote[643].start 11527.66409375
transcript.pyannote[643].end 11529.16596875
transcript.pyannote[644].speaker SPEAKER_06
transcript.pyannote[644].start 11529.40221875
transcript.pyannote[644].end 11530.93784375
transcript.pyannote[645].speaker SPEAKER_01
transcript.pyannote[645].start 11531.03909375
transcript.pyannote[645].end 11532.33846875
transcript.pyannote[646].speaker SPEAKER_06
transcript.pyannote[646].start 11532.55784375
transcript.pyannote[646].end 11534.07659375
transcript.pyannote[647].speaker SPEAKER_01
transcript.pyannote[647].start 11534.14409375
transcript.pyannote[647].end 11535.47721875
transcript.pyannote[648].speaker SPEAKER_06
transcript.pyannote[648].start 11536.30409375
transcript.pyannote[648].end 11538.64971875
transcript.pyannote[649].speaker SPEAKER_06
transcript.pyannote[649].start 11538.98721875
transcript.pyannote[649].end 11540.80971875
transcript.pyannote[650].speaker SPEAKER_01
transcript.pyannote[650].start 11540.96159375
transcript.pyannote[650].end 11544.84284375
transcript.pyannote[651].speaker SPEAKER_06
transcript.pyannote[651].start 11545.12971875
transcript.pyannote[651].end 11546.63159375
transcript.pyannote[652].speaker SPEAKER_01
transcript.pyannote[652].start 11546.69909375
transcript.pyannote[652].end 11548.25159375
transcript.pyannote[653].speaker SPEAKER_06
transcript.pyannote[653].start 11548.43721875
transcript.pyannote[653].end 11549.87159375
transcript.pyannote[654].speaker SPEAKER_01
transcript.pyannote[654].start 11550.09096875
transcript.pyannote[654].end 11551.50846875
transcript.pyannote[655].speaker SPEAKER_06
transcript.pyannote[655].start 11551.72784375
transcript.pyannote[655].end 11553.12846875
transcript.pyannote[656].speaker SPEAKER_01
transcript.pyannote[656].start 11553.28034375
transcript.pyannote[656].end 11554.63034375
transcript.pyannote[657].speaker SPEAKER_06
transcript.pyannote[657].start 11554.81596875
transcript.pyannote[657].end 11556.11534375
transcript.pyannote[658].speaker SPEAKER_01
transcript.pyannote[658].start 11556.28409375
transcript.pyannote[658].end 11557.68471875
transcript.pyannote[659].speaker SPEAKER_06
transcript.pyannote[659].start 11557.81971875
transcript.pyannote[659].end 11559.27096875
transcript.pyannote[660].speaker SPEAKER_01
transcript.pyannote[660].start 11559.38909375
transcript.pyannote[660].end 11560.73909375
transcript.pyannote[661].speaker SPEAKER_06
transcript.pyannote[661].start 11560.95846875
transcript.pyannote[661].end 11562.64596875
transcript.pyannote[662].speaker SPEAKER_01
transcript.pyannote[662].start 11562.64596875
transcript.pyannote[662].end 11564.14784375
transcript.pyannote[663].speaker SPEAKER_06
transcript.pyannote[663].start 11564.38409375
transcript.pyannote[663].end 11565.75096875
transcript.pyannote[664].speaker SPEAKER_01
transcript.pyannote[664].start 11565.93659375
transcript.pyannote[664].end 11567.21909375
transcript.pyannote[665].speaker SPEAKER_06
transcript.pyannote[665].start 11567.40471875
transcript.pyannote[665].end 11568.99096875
transcript.pyannote[666].speaker SPEAKER_01
transcript.pyannote[666].start 11569.04159375
transcript.pyannote[666].end 11570.45909375
transcript.pyannote[667].speaker SPEAKER_06
transcript.pyannote[667].start 11571.42096875
transcript.pyannote[667].end 11573.42909375
transcript.pyannote[668].speaker SPEAKER_06
transcript.pyannote[668].start 11573.78346875
transcript.pyannote[668].end 11575.25159375
transcript.pyannote[669].speaker SPEAKER_01
transcript.pyannote[669].start 11575.60596875
transcript.pyannote[669].end 11579.03159375
transcript.pyannote[670].speaker SPEAKER_06
transcript.pyannote[670].start 11579.23409375
transcript.pyannote[670].end 11580.68534375
transcript.pyannote[671].speaker SPEAKER_01
transcript.pyannote[671].start 11580.68534375
transcript.pyannote[671].end 11582.03534375
transcript.pyannote[672].speaker SPEAKER_06
transcript.pyannote[672].start 11582.27159375
transcript.pyannote[672].end 11583.82409375
transcript.pyannote[673].speaker SPEAKER_01
transcript.pyannote[673].start 11583.82409375
transcript.pyannote[673].end 11585.22471875
transcript.pyannote[674].speaker SPEAKER_06
transcript.pyannote[674].start 11585.41034375
transcript.pyannote[674].end 11586.86159375
transcript.pyannote[675].speaker SPEAKER_01
transcript.pyannote[675].start 11586.96284375
transcript.pyannote[675].end 11588.31284375
transcript.pyannote[676].speaker SPEAKER_06
transcript.pyannote[676].start 11588.48159375
transcript.pyannote[676].end 11589.96659375
transcript.pyannote[677].speaker SPEAKER_01
transcript.pyannote[677].start 11590.01721875
transcript.pyannote[677].end 11591.40096875
transcript.pyannote[678].speaker SPEAKER_06
transcript.pyannote[678].start 11591.60346875
transcript.pyannote[678].end 11592.98721875
transcript.pyannote[679].speaker SPEAKER_01
transcript.pyannote[679].start 11593.17284375
transcript.pyannote[679].end 11594.43846875
transcript.pyannote[680].speaker SPEAKER_06
transcript.pyannote[680].start 11594.65784375
transcript.pyannote[680].end 11596.07534375
transcript.pyannote[681].speaker SPEAKER_01
transcript.pyannote[681].start 11596.14284375
transcript.pyannote[681].end 11597.42534375
transcript.pyannote[682].speaker SPEAKER_06
transcript.pyannote[682].start 11597.57721875
transcript.pyannote[682].end 11599.07909375
transcript.pyannote[683].speaker SPEAKER_01
transcript.pyannote[683].start 11599.12971875
transcript.pyannote[683].end 11600.37846875
transcript.pyannote[684].speaker SPEAKER_06
transcript.pyannote[684].start 11600.54721875
transcript.pyannote[684].end 11602.09971875
transcript.pyannote[685].speaker SPEAKER_01
transcript.pyannote[685].start 11602.15034375
transcript.pyannote[685].end 11603.58471875
transcript.pyannote[686].speaker SPEAKER_06
transcript.pyannote[686].start 11604.47909375
transcript.pyannote[686].end 11606.50409375
transcript.pyannote[687].speaker SPEAKER_06
transcript.pyannote[687].start 11606.90909375
transcript.pyannote[687].end 11608.39409375
transcript.pyannote[688].speaker SPEAKER_01
transcript.pyannote[688].start 11608.81596875
transcript.pyannote[688].end 11612.19096875
transcript.pyannote[689].speaker SPEAKER_06
transcript.pyannote[689].start 11612.41034375
transcript.pyannote[689].end 11613.89534375
transcript.pyannote[690].speaker SPEAKER_01
transcript.pyannote[690].start 11613.89534375
transcript.pyannote[690].end 11615.32971875
transcript.pyannote[691].speaker SPEAKER_06
transcript.pyannote[691].start 11615.54909375
transcript.pyannote[691].end 11617.06784375
transcript.pyannote[692].speaker SPEAKER_01
transcript.pyannote[692].start 11617.15221875
transcript.pyannote[692].end 11618.51909375
transcript.pyannote[693].speaker SPEAKER_06
transcript.pyannote[693].start 11618.80596875
transcript.pyannote[693].end 11620.25721875
transcript.pyannote[694].speaker SPEAKER_01
transcript.pyannote[694].start 11620.49346875
transcript.pyannote[694].end 11621.86034375
transcript.pyannote[695].speaker SPEAKER_06
transcript.pyannote[695].start 11622.01221875
transcript.pyannote[695].end 11623.39596875
transcript.pyannote[696].speaker SPEAKER_01
transcript.pyannote[696].start 11623.56471875
transcript.pyannote[696].end 11624.94846875
transcript.pyannote[697].speaker SPEAKER_06
transcript.pyannote[697].start 11625.15096875
transcript.pyannote[697].end 11626.55159375
transcript.pyannote[698].speaker SPEAKER_01
transcript.pyannote[698].start 11626.80471875
transcript.pyannote[698].end 11628.17159375
transcript.pyannote[699].speaker SPEAKER_06
transcript.pyannote[699].start 11628.47534375
transcript.pyannote[699].end 11630.12909375
transcript.pyannote[700].speaker SPEAKER_01
transcript.pyannote[700].start 11630.33159375
transcript.pyannote[700].end 11631.96846875
transcript.pyannote[701].speaker SPEAKER_06
transcript.pyannote[701].start 11632.25534375
transcript.pyannote[701].end 11633.68971875
transcript.pyannote[702].speaker SPEAKER_01
transcript.pyannote[702].start 11633.87534375
transcript.pyannote[702].end 11635.24221875
transcript.pyannote[703].speaker SPEAKER_06
transcript.pyannote[703].start 11635.54596875
transcript.pyannote[703].end 11637.31784375
transcript.pyannote[704].speaker SPEAKER_01
transcript.pyannote[704].start 11637.60471875
transcript.pyannote[704].end 11639.42721875
transcript.pyannote[705].speaker SPEAKER_06
transcript.pyannote[705].start 11640.35534375
transcript.pyannote[705].end 11642.44784375
transcript.pyannote[706].speaker SPEAKER_06
transcript.pyannote[706].start 11642.81909375
transcript.pyannote[706].end 11644.65846875
transcript.pyannote[707].speaker SPEAKER_01
transcript.pyannote[707].start 11644.81034375
transcript.pyannote[707].end 11648.69159375
transcript.pyannote[708].speaker SPEAKER_06
transcript.pyannote[708].start 11648.86034375
transcript.pyannote[708].end 11650.39596875
transcript.pyannote[709].speaker SPEAKER_01
transcript.pyannote[709].start 11650.39596875
transcript.pyannote[709].end 11651.84721875
transcript.pyannote[710].speaker SPEAKER_06
transcript.pyannote[710].start 11652.10034375
transcript.pyannote[710].end 11653.65284375
transcript.pyannote[711].speaker SPEAKER_06
transcript.pyannote[711].start 11653.70346875
transcript.pyannote[711].end 11653.73721875
transcript.pyannote[712].speaker SPEAKER_01
transcript.pyannote[712].start 11653.73721875
transcript.pyannote[712].end 11655.20534375
transcript.pyannote[713].speaker SPEAKER_06
transcript.pyannote[713].start 11655.39096875
transcript.pyannote[713].end 11656.89284375
transcript.pyannote[714].speaker SPEAKER_01
transcript.pyannote[714].start 11657.01096875
transcript.pyannote[714].end 11658.47909375
transcript.pyannote[715].speaker SPEAKER_06
transcript.pyannote[715].start 11658.59721875
transcript.pyannote[715].end 11660.04846875
transcript.pyannote[716].speaker SPEAKER_01
transcript.pyannote[716].start 11660.35221875
transcript.pyannote[716].end 11661.78659375
transcript.pyannote[717].speaker SPEAKER_06
transcript.pyannote[717].start 11661.98909375
transcript.pyannote[717].end 11663.50784375
transcript.pyannote[718].speaker SPEAKER_01
transcript.pyannote[718].start 11663.65971875
transcript.pyannote[718].end 11664.99284375
transcript.pyannote[719].speaker SPEAKER_06
transcript.pyannote[719].start 11665.26284375
transcript.pyannote[719].end 11666.93346875
transcript.pyannote[720].speaker SPEAKER_01
transcript.pyannote[720].start 11666.93346875
transcript.pyannote[720].end 11668.51971875
transcript.pyannote[721].speaker SPEAKER_06
transcript.pyannote[721].start 11668.72221875
transcript.pyannote[721].end 11670.27471875
transcript.pyannote[722].speaker SPEAKER_01
transcript.pyannote[722].start 11670.35909375
transcript.pyannote[722].end 11671.74284375
transcript.pyannote[723].speaker SPEAKER_06
transcript.pyannote[723].start 11671.86096875
transcript.pyannote[723].end 11673.36284375
transcript.pyannote[724].speaker SPEAKER_01
transcript.pyannote[724].start 11673.59909375
transcript.pyannote[724].end 11675.05034375
transcript.pyannote[725].speaker SPEAKER_06
transcript.pyannote[725].start 11675.96159375
transcript.pyannote[725].end 11677.93596875
transcript.pyannote[726].speaker SPEAKER_06
transcript.pyannote[726].start 11678.52659375
transcript.pyannote[726].end 11679.91034375
transcript.pyannote[727].speaker SPEAKER_01
transcript.pyannote[727].start 11680.24784375
transcript.pyannote[727].end 11683.63971875
transcript.pyannote[728].speaker SPEAKER_06
transcript.pyannote[728].start 11683.92659375
transcript.pyannote[728].end 11685.36096875
transcript.pyannote[729].speaker SPEAKER_01
transcript.pyannote[729].start 11685.49596875
transcript.pyannote[729].end 11686.89659375
transcript.pyannote[730].speaker SPEAKER_06
transcript.pyannote[730].start 11687.18346875
transcript.pyannote[730].end 11688.68534375
transcript.pyannote[731].speaker SPEAKER_01
transcript.pyannote[731].start 11688.78659375
transcript.pyannote[731].end 11690.22096875
transcript.pyannote[732].speaker SPEAKER_06
transcript.pyannote[732].start 11690.76096875
transcript.pyannote[732].end 11692.19534375
transcript.pyannote[733].speaker SPEAKER_01
transcript.pyannote[733].start 11692.38096875
transcript.pyannote[733].end 11693.73096875
transcript.pyannote[734].speaker SPEAKER_06
transcript.pyannote[734].start 11694.00096875
transcript.pyannote[734].end 11695.35096875
transcript.pyannote[735].speaker SPEAKER_01
transcript.pyannote[735].start 11695.65471875
transcript.pyannote[735].end 11697.02159375
transcript.pyannote[736].speaker SPEAKER_06
transcript.pyannote[736].start 11697.29159375
transcript.pyannote[736].end 11698.64159375
transcript.pyannote[737].speaker SPEAKER_01
transcript.pyannote[737].start 11698.92846875
transcript.pyannote[737].end 11700.24471875
transcript.pyannote[738].speaker SPEAKER_06
transcript.pyannote[738].start 11700.51471875
transcript.pyannote[738].end 11701.98284375
transcript.pyannote[739].speaker SPEAKER_01
transcript.pyannote[739].start 11702.16846875
transcript.pyannote[739].end 11703.46784375
transcript.pyannote[740].speaker SPEAKER_06
transcript.pyannote[740].start 11703.72096875
transcript.pyannote[740].end 11705.17221875
transcript.pyannote[741].speaker SPEAKER_01
transcript.pyannote[741].start 11705.22284375
transcript.pyannote[741].end 11706.52221875
transcript.pyannote[742].speaker SPEAKER_06
transcript.pyannote[742].start 11706.69096875
transcript.pyannote[742].end 11708.31096875
transcript.pyannote[743].speaker SPEAKER_01
transcript.pyannote[743].start 11708.53034375
transcript.pyannote[743].end 11709.98159375
transcript.pyannote[744].speaker SPEAKER_06
transcript.pyannote[744].start 11710.79159375
transcript.pyannote[744].end 11713.03596875
transcript.pyannote[745].speaker SPEAKER_06
transcript.pyannote[745].start 11713.30596875
transcript.pyannote[745].end 11715.06096875
transcript.pyannote[746].speaker SPEAKER_01
transcript.pyannote[746].start 11715.21284375
transcript.pyannote[746].end 11718.80721875
transcript.pyannote[747].speaker SPEAKER_06
transcript.pyannote[747].start 11719.00971875
transcript.pyannote[747].end 11720.51159375
transcript.pyannote[748].speaker SPEAKER_01
transcript.pyannote[748].start 11720.51159375
transcript.pyannote[748].end 11721.97971875
transcript.pyannote[749].speaker SPEAKER_06
transcript.pyannote[749].start 11722.13159375
transcript.pyannote[749].end 11723.63346875
transcript.pyannote[750].speaker SPEAKER_01
transcript.pyannote[750].start 11723.70096875
transcript.pyannote[750].end 11725.16909375
transcript.pyannote[751].speaker SPEAKER_06
transcript.pyannote[751].start 11725.35471875
transcript.pyannote[751].end 11726.78909375
transcript.pyannote[752].speaker SPEAKER_01
transcript.pyannote[752].start 11726.89034375
transcript.pyannote[752].end 11728.20659375
transcript.pyannote[753].speaker SPEAKER_06
transcript.pyannote[753].start 11728.47659375
transcript.pyannote[753].end 11729.97846875
transcript.pyannote[754].speaker SPEAKER_01
transcript.pyannote[754].start 11730.07971875
transcript.pyannote[754].end 11731.49721875
transcript.pyannote[755].speaker SPEAKER_06
transcript.pyannote[755].start 11731.68284375
transcript.pyannote[755].end 11733.16784375
transcript.pyannote[756].speaker SPEAKER_01
transcript.pyannote[756].start 11733.25221875
transcript.pyannote[756].end 11734.63596875
transcript.pyannote[757].speaker SPEAKER_06
transcript.pyannote[757].start 11734.90596875
transcript.pyannote[757].end 11736.59346875
transcript.pyannote[758].speaker SPEAKER_01
transcript.pyannote[758].start 11736.66096875
transcript.pyannote[758].end 11738.33159375
transcript.pyannote[759].speaker SPEAKER_06
transcript.pyannote[759].start 11738.55096875
transcript.pyannote[759].end 11740.00221875
transcript.pyannote[760].speaker SPEAKER_01
transcript.pyannote[760].start 11740.20471875
transcript.pyannote[760].end 11741.53784375
transcript.pyannote[761].speaker SPEAKER_06
transcript.pyannote[761].start 11741.70659375
transcript.pyannote[761].end 11743.36034375
transcript.pyannote[762].speaker SPEAKER_01
transcript.pyannote[762].start 11743.51221875
transcript.pyannote[762].end 11745.03096875
transcript.pyannote[763].speaker SPEAKER_06
transcript.pyannote[763].start 11745.90846875
transcript.pyannote[763].end 11748.06846875
transcript.pyannote[764].speaker SPEAKER_06
transcript.pyannote[764].start 11748.25409375
transcript.pyannote[764].end 11749.70534375
transcript.pyannote[765].speaker SPEAKER_01
transcript.pyannote[765].start 11749.99221875
transcript.pyannote[765].end 11753.77221875
transcript.pyannote[766].speaker SPEAKER_06
transcript.pyannote[766].start 11754.07596875
transcript.pyannote[766].end 11755.52721875
transcript.pyannote[767].speaker SPEAKER_01
transcript.pyannote[767].start 11755.52721875
transcript.pyannote[767].end 11757.01221875
transcript.pyannote[768].speaker SPEAKER_06
transcript.pyannote[768].start 11757.26534375
transcript.pyannote[768].end 11758.80096875
transcript.pyannote[769].speaker SPEAKER_01
transcript.pyannote[769].start 11758.86846875
transcript.pyannote[769].end 11760.33659375
transcript.pyannote[770].speaker SPEAKER_06
transcript.pyannote[770].start 11760.53909375
transcript.pyannote[770].end 11762.00721875
transcript.pyannote[771].speaker SPEAKER_01
transcript.pyannote[771].start 11762.17596875
transcript.pyannote[771].end 11763.54284375
transcript.pyannote[772].speaker SPEAKER_06
transcript.pyannote[772].start 11763.74534375
transcript.pyannote[772].end 11765.14596875
transcript.pyannote[773].speaker SPEAKER_01
transcript.pyannote[773].start 11765.28096875
transcript.pyannote[773].end 11766.68159375
transcript.pyannote[774].speaker SPEAKER_06
transcript.pyannote[774].start 11766.86721875
transcript.pyannote[774].end 11768.28471875
transcript.pyannote[775].speaker SPEAKER_01
transcript.pyannote[775].start 11768.52096875
transcript.pyannote[775].end 11769.92159375
transcript.pyannote[776].speaker SPEAKER_06
transcript.pyannote[776].start 11770.05659375
transcript.pyannote[776].end 11771.40659375
transcript.pyannote[777].speaker SPEAKER_01
transcript.pyannote[777].start 11771.62596875
transcript.pyannote[777].end 11772.92534375
transcript.pyannote[778].speaker SPEAKER_06
transcript.pyannote[778].start 11773.22909375
transcript.pyannote[778].end 11774.68034375
transcript.pyannote[779].speaker SPEAKER_01
transcript.pyannote[779].start 11774.83221875
transcript.pyannote[779].end 11776.13159375
transcript.pyannote[780].speaker SPEAKER_06
transcript.pyannote[780].start 11776.30034375
transcript.pyannote[780].end 11777.86971875
transcript.pyannote[781].speaker SPEAKER_01
transcript.pyannote[781].start 11778.07221875
transcript.pyannote[781].end 11779.50659375
transcript.pyannote[782].speaker SPEAKER_06
transcript.pyannote[782].start 11780.92409375
transcript.pyannote[782].end 11783.21909375
transcript.pyannote[783].speaker SPEAKER_06
transcript.pyannote[783].start 11783.48909375
transcript.pyannote[783].end 11785.29471875
transcript.pyannote[784].speaker SPEAKER_01
transcript.pyannote[784].start 11785.56471875
transcript.pyannote[784].end 11789.39534375
transcript.pyannote[785].speaker SPEAKER_06
transcript.pyannote[785].start 11789.63159375
transcript.pyannote[785].end 11791.11659375
transcript.pyannote[786].speaker SPEAKER_01
transcript.pyannote[786].start 11791.18409375
transcript.pyannote[786].end 11792.61846875
transcript.pyannote[787].speaker SPEAKER_06
transcript.pyannote[787].start 11792.82096875
transcript.pyannote[787].end 11794.28909375
transcript.pyannote[788].speaker SPEAKER_01
transcript.pyannote[788].start 11794.45784375
transcript.pyannote[788].end 11795.97659375
transcript.pyannote[789].speaker SPEAKER_06
transcript.pyannote[789].start 11796.19596875
transcript.pyannote[789].end 11797.63034375
transcript.pyannote[790].speaker SPEAKER_01
transcript.pyannote[790].start 11797.76534375
transcript.pyannote[790].end 11799.19971875
transcript.pyannote[791].speaker SPEAKER_06
transcript.pyannote[791].start 11799.40221875
transcript.pyannote[791].end 11800.80284375
transcript.pyannote[792].speaker SPEAKER_01
transcript.pyannote[792].start 11800.95471875
transcript.pyannote[792].end 11802.43971875
transcript.pyannote[793].speaker SPEAKER_06
transcript.pyannote[793].start 11802.64221875
transcript.pyannote[793].end 11804.09346875
transcript.pyannote[794].speaker SPEAKER_01
transcript.pyannote[794].start 11804.31284375
transcript.pyannote[794].end 11805.69659375
transcript.pyannote[795].speaker SPEAKER_06
transcript.pyannote[795].start 11806.06784375
transcript.pyannote[795].end 11807.73846875
transcript.pyannote[796].speaker SPEAKER_01
transcript.pyannote[796].start 11807.85659375
transcript.pyannote[796].end 11809.52721875
transcript.pyannote[797].speaker SPEAKER_06
transcript.pyannote[797].start 11809.81409375
transcript.pyannote[797].end 11811.26534375
transcript.pyannote[798].speaker SPEAKER_01
transcript.pyannote[798].start 11811.55221875
transcript.pyannote[798].end 11812.95284375
transcript.pyannote[799].speaker SPEAKER_06
transcript.pyannote[799].start 11813.35784375
transcript.pyannote[799].end 11815.02846875
transcript.pyannote[800].speaker SPEAKER_01
transcript.pyannote[800].start 11815.26471875
transcript.pyannote[800].end 11816.88471875
transcript.pyannote[801].speaker SPEAKER_06
transcript.pyannote[801].start 11819.51721875
transcript.pyannote[801].end 11821.54221875
transcript.pyannote[802].speaker SPEAKER_06
transcript.pyannote[802].start 11822.87534375
transcript.pyannote[802].end 11824.29284375
transcript.pyannote[803].speaker SPEAKER_01
transcript.pyannote[803].start 11824.46159375
transcript.pyannote[803].end 11827.81971875
transcript.pyannote[804].speaker SPEAKER_06
transcript.pyannote[804].start 11828.12346875
transcript.pyannote[804].end 11829.52409375
transcript.pyannote[805].speaker SPEAKER_01
transcript.pyannote[805].start 11829.57471875
transcript.pyannote[805].end 11831.02596875
transcript.pyannote[806].speaker SPEAKER_06
transcript.pyannote[806].start 11831.31284375
transcript.pyannote[806].end 11832.74721875
transcript.pyannote[807].speaker SPEAKER_01
transcript.pyannote[807].start 11832.93284375
transcript.pyannote[807].end 11834.33346875
transcript.pyannote[808].speaker SPEAKER_06
transcript.pyannote[808].start 11834.63721875
transcript.pyannote[808].end 11835.98721875
transcript.pyannote[809].speaker SPEAKER_01
transcript.pyannote[809].start 11836.29096875
transcript.pyannote[809].end 11837.69159375
transcript.pyannote[810].speaker SPEAKER_06
transcript.pyannote[810].start 11837.87721875
transcript.pyannote[810].end 11839.27784375
transcript.pyannote[811].speaker SPEAKER_01
transcript.pyannote[811].start 11839.49721875
transcript.pyannote[811].end 11840.89784375
transcript.pyannote[812].speaker SPEAKER_06
transcript.pyannote[812].start 11841.11721875
transcript.pyannote[812].end 11842.53471875
transcript.pyannote[813].speaker SPEAKER_01
transcript.pyannote[813].start 11842.73721875
transcript.pyannote[813].end 11844.12096875
transcript.pyannote[814].speaker SPEAKER_06
transcript.pyannote[814].start 11844.45846875
transcript.pyannote[814].end 11845.90971875
transcript.pyannote[815].speaker SPEAKER_01
transcript.pyannote[815].start 11846.06159375
transcript.pyannote[815].end 11847.49596875
transcript.pyannote[816].speaker SPEAKER_06
transcript.pyannote[816].start 11847.69846875
transcript.pyannote[816].end 11849.13284375
transcript.pyannote[817].speaker SPEAKER_01
transcript.pyannote[817].start 11849.30159375
transcript.pyannote[817].end 11850.65159375
transcript.pyannote[818].speaker SPEAKER_06
transcript.pyannote[818].start 11850.78659375
transcript.pyannote[818].end 11852.30534375
transcript.pyannote[819].speaker SPEAKER_01
transcript.pyannote[819].start 11852.44034375
transcript.pyannote[819].end 11853.79034375
transcript.pyannote[820].speaker SPEAKER_06
transcript.pyannote[820].start 11856.13596875
transcript.pyannote[820].end 11858.36346875
transcript.pyannote[821].speaker SPEAKER_06
transcript.pyannote[821].start 11858.70096875
transcript.pyannote[821].end 11860.16909375
transcript.pyannote[822].speaker SPEAKER_06
transcript.pyannote[822].start 11860.52346875
transcript.pyannote[822].end 11863.81409375
transcript.pyannote[823].speaker SPEAKER_06
transcript.pyannote[823].start 11864.18534375
transcript.pyannote[823].end 11867.42534375
transcript.pyannote[824].speaker SPEAKER_06
transcript.pyannote[824].start 11867.71221875
transcript.pyannote[824].end 11870.81721875
transcript.pyannote[825].speaker SPEAKER_06
transcript.pyannote[825].start 11871.08721875
transcript.pyannote[825].end 11872.55534375
transcript.pyannote[826].speaker SPEAKER_06
transcript.pyannote[826].start 11872.74096875
transcript.pyannote[826].end 11874.27659375
transcript.pyannote[827].speaker SPEAKER_00
transcript.pyannote[827].start 11873.95596875
transcript.pyannote[827].end 11874.07409375
transcript.pyannote[828].speaker SPEAKER_06
transcript.pyannote[828].start 11874.36096875
transcript.pyannote[828].end 11891.01659375
transcript.pyannote[829].speaker SPEAKER_06
transcript.pyannote[829].start 11891.79284375
transcript.pyannote[829].end 11893.73346875
transcript.pyannote[830].speaker SPEAKER_06
transcript.pyannote[830].start 11894.20596875
transcript.pyannote[830].end 11895.65721875
transcript.pyannote[831].speaker SPEAKER_04
transcript.pyannote[831].start 11895.94409375
transcript.pyannote[831].end 11898.86346875
transcript.pyannote[832].speaker SPEAKER_06
transcript.pyannote[832].start 11898.86346875
transcript.pyannote[832].end 11899.04909375
transcript.pyannote[833].speaker SPEAKER_04
transcript.pyannote[833].start 11899.04909375
transcript.pyannote[833].end 11899.30221875
transcript.pyannote[834].speaker SPEAKER_06
transcript.pyannote[834].start 11899.30221875
transcript.pyannote[834].end 11899.31909375
transcript.pyannote[835].speaker SPEAKER_06
transcript.pyannote[835].start 11899.69034375
transcript.pyannote[835].end 11902.74471875
transcript.pyannote[836].speaker SPEAKER_06
transcript.pyannote[836].start 11902.87971875
transcript.pyannote[836].end 11905.90034375
transcript.pyannote[837].speaker SPEAKER_06
transcript.pyannote[837].start 11906.17034375
transcript.pyannote[837].end 11907.72284375
transcript.pyannote[838].speaker SPEAKER_06
transcript.pyannote[838].start 11907.77346875
transcript.pyannote[838].end 11909.19096875
transcript.pyannote[839].speaker SPEAKER_06
transcript.pyannote[839].start 11909.35971875
transcript.pyannote[839].end 11910.81096875
transcript.pyannote[840].speaker SPEAKER_06
transcript.pyannote[840].start 11910.84471875
transcript.pyannote[840].end 11920.46346875
transcript.pyannote[841].speaker SPEAKER_04
transcript.pyannote[841].start 11920.46346875
transcript.pyannote[841].end 11921.84721875
transcript.pyannote[842].speaker SPEAKER_06
transcript.pyannote[842].start 11921.84721875
transcript.pyannote[842].end 11923.55159375
transcript.pyannote[843].speaker SPEAKER_04
transcript.pyannote[843].start 11923.56846875
transcript.pyannote[843].end 11925.08721875
transcript.pyannote[844].speaker SPEAKER_06
transcript.pyannote[844].start 11925.94784375
transcript.pyannote[844].end 11927.85471875
transcript.pyannote[845].speaker SPEAKER_06
transcript.pyannote[845].start 11928.00659375
transcript.pyannote[845].end 11929.81221875
transcript.pyannote[846].speaker SPEAKER_06
transcript.pyannote[846].start 11930.20034375
transcript.pyannote[846].end 11931.06096875
transcript.pyannote[847].speaker SPEAKER_06
transcript.pyannote[847].start 11931.65159375
transcript.pyannote[847].end 11934.33471875
transcript.pyannote[848].speaker SPEAKER_06
transcript.pyannote[848].start 11935.29659375
transcript.pyannote[848].end 11936.79846875
transcript.pyannote[849].speaker SPEAKER_06
transcript.pyannote[849].start 11937.38909375
transcript.pyannote[849].end 11938.78971875
transcript.pyannote[850].speaker SPEAKER_06
transcript.pyannote[850].start 11939.63346875
transcript.pyannote[850].end 11942.70471875
transcript.pyannote[851].speaker SPEAKER_06
transcript.pyannote[851].start 11943.09284375
transcript.pyannote[851].end 11946.40034375
transcript.pyannote[852].speaker SPEAKER_06
transcript.pyannote[852].start 11946.46784375
transcript.pyannote[852].end 11949.53909375
transcript.pyannote[853].speaker SPEAKER_06
transcript.pyannote[853].start 11949.97784375
transcript.pyannote[853].end 11953.03221875
transcript.pyannote[854].speaker SPEAKER_06
transcript.pyannote[854].start 11953.31909375
transcript.pyannote[854].end 11956.77846875
transcript.pyannote[855].speaker SPEAKER_06
transcript.pyannote[855].start 11956.99784375
transcript.pyannote[855].end 11960.00159375
transcript.pyannote[856].speaker SPEAKER_06
transcript.pyannote[856].start 11960.22096875
transcript.pyannote[856].end 11961.85784375
transcript.pyannote[857].speaker SPEAKER_06
transcript.pyannote[857].start 11961.90846875
transcript.pyannote[857].end 11961.92534375
transcript.pyannote[858].speaker SPEAKER_04
transcript.pyannote[858].start 11961.92534375
transcript.pyannote[858].end 11963.34284375
transcript.pyannote[859].speaker SPEAKER_06
transcript.pyannote[859].start 11964.18659375
transcript.pyannote[859].end 11966.17784375
transcript.pyannote[860].speaker SPEAKER_06
transcript.pyannote[860].start 11966.43096875
transcript.pyannote[860].end 11971.67909375
transcript.pyannote[861].speaker SPEAKER_06
transcript.pyannote[861].start 11971.99971875
transcript.pyannote[861].end 11987.60909375
transcript.pyannote[862].speaker SPEAKER_06
transcript.pyannote[862].start 11988.18284375
transcript.pyannote[862].end 11997.97034375
transcript.pyannote[863].speaker SPEAKER_06
transcript.pyannote[863].start 11999.06721875
transcript.pyannote[863].end 12000.95721875
transcript.pyannote[864].speaker SPEAKER_06
transcript.pyannote[864].start 12001.34534375
transcript.pyannote[864].end 12002.76284375
transcript.pyannote[865].speaker SPEAKER_06
transcript.pyannote[865].start 12003.08346875
transcript.pyannote[865].end 12031.82159375
transcript.pyannote[866].speaker SPEAKER_06
transcript.pyannote[866].start 12032.81721875
transcript.pyannote[866].end 12034.67346875
transcript.pyannote[867].speaker SPEAKER_06
transcript.pyannote[867].start 12035.06159375
transcript.pyannote[867].end 12036.54659375
transcript.pyannote[868].speaker SPEAKER_06
transcript.pyannote[868].start 12036.78284375
transcript.pyannote[868].end 12040.30971875
transcript.pyannote[869].speaker SPEAKER_06
transcript.pyannote[869].start 12040.46159375
transcript.pyannote[869].end 12066.83721875
transcript.pyannote[870].speaker SPEAKER_06
transcript.pyannote[870].start 12067.66409375
transcript.pyannote[870].end 12069.89159375
transcript.pyannote[871].speaker SPEAKER_06
transcript.pyannote[871].start 12070.21221875
transcript.pyannote[871].end 12071.71409375
transcript.pyannote[872].speaker SPEAKER_06
transcript.pyannote[872].start 12072.00096875
transcript.pyannote[872].end 12075.10596875
transcript.pyannote[873].speaker SPEAKER_06
transcript.pyannote[873].start 12075.49409375
transcript.pyannote[873].end 12094.44471875
transcript.pyannote[874].speaker SPEAKER_06
transcript.pyannote[874].start 12094.46159375
transcript.pyannote[874].end 12100.99221875
transcript.pyannote[875].speaker SPEAKER_06
transcript.pyannote[875].start 12101.66721875
transcript.pyannote[875].end 12103.52346875
transcript.pyannote[876].speaker SPEAKER_06
transcript.pyannote[876].start 12103.86096875
transcript.pyannote[876].end 12105.32909375
transcript.pyannote[877].speaker SPEAKER_06
transcript.pyannote[877].start 12105.54846875
transcript.pyannote[877].end 12111.82596875
transcript.pyannote[878].speaker SPEAKER_06
transcript.pyannote[878].start 12112.14659375
transcript.pyannote[878].end 12113.66534375
transcript.pyannote[879].speaker SPEAKER_06
transcript.pyannote[879].start 12113.91846875
transcript.pyannote[879].end 12115.33596875
transcript.pyannote[880].speaker SPEAKER_06
transcript.pyannote[880].start 12115.48784375
transcript.pyannote[880].end 12118.59284375
transcript.pyannote[881].speaker SPEAKER_06
transcript.pyannote[881].start 12118.84596875
transcript.pyannote[881].end 12124.95471875
transcript.pyannote[882].speaker SPEAKER_06
transcript.pyannote[882].start 12125.24159375
transcript.pyannote[882].end 12128.17784375
transcript.pyannote[883].speaker SPEAKER_06
transcript.pyannote[883].start 12128.31284375
transcript.pyannote[883].end 12131.36721875
transcript.pyannote[884].speaker SPEAKER_06
transcript.pyannote[884].start 12131.41784375
transcript.pyannote[884].end 12134.47221875
transcript.pyannote[885].speaker SPEAKER_06
transcript.pyannote[885].start 12135.94034375
transcript.pyannote[885].end 12138.21846875
transcript.pyannote[886].speaker SPEAKER_06
transcript.pyannote[886].start 12138.62346875
transcript.pyannote[886].end 12140.15909375
transcript.pyannote[887].speaker SPEAKER_06
transcript.pyannote[887].start 12140.41221875
transcript.pyannote[887].end 12145.10346875
transcript.pyannote[888].speaker SPEAKER_06
transcript.pyannote[888].start 12145.42409375
transcript.pyannote[888].end 12146.80784375
transcript.pyannote[889].speaker SPEAKER_06
transcript.pyannote[889].start 12146.97659375
transcript.pyannote[889].end 12149.87909375
transcript.pyannote[890].speaker SPEAKER_06
transcript.pyannote[890].start 12150.11534375
transcript.pyannote[890].end 12152.98409375
transcript.pyannote[891].speaker SPEAKER_06
transcript.pyannote[891].start 12153.20346875
transcript.pyannote[891].end 12157.81034375
transcript.pyannote[892].speaker SPEAKER_06
transcript.pyannote[892].start 12157.84409375
transcript.pyannote[892].end 12157.89471875
transcript.pyannote[893].speaker SPEAKER_04
transcript.pyannote[893].start 12157.89471875
transcript.pyannote[893].end 12159.12659375
transcript.pyannote[894].speaker SPEAKER_06
transcript.pyannote[894].start 12159.36284375
transcript.pyannote[894].end 12162.83909375
transcript.pyannote[895].speaker SPEAKER_06
transcript.pyannote[895].start 12163.17659375
transcript.pyannote[895].end 12166.24784375
transcript.pyannote[896].speaker SPEAKER_06
transcript.pyannote[896].start 12166.36596875
transcript.pyannote[896].end 12170.07846875
transcript.pyannote[897].speaker SPEAKER_06
transcript.pyannote[897].start 12170.98971875
transcript.pyannote[897].end 12174.95534375
transcript.pyannote[898].speaker SPEAKER_06
transcript.pyannote[898].start 12174.98909375
transcript.pyannote[898].end 12175.03971875
transcript.pyannote[899].speaker SPEAKER_06
transcript.pyannote[899].start 12175.05659375
transcript.pyannote[899].end 12175.95096875
transcript.pyannote[900].speaker SPEAKER_06
transcript.pyannote[900].start 12176.20409375
transcript.pyannote[900].end 12178.17846875
transcript.pyannote[901].speaker SPEAKER_06
transcript.pyannote[901].start 12178.41471875
transcript.pyannote[901].end 12179.02221875
transcript.pyannote[902].speaker SPEAKER_06
transcript.pyannote[902].start 12179.35971875
transcript.pyannote[902].end 12203.33909375
transcript.pyannote[903].speaker SPEAKER_04
transcript.pyannote[903].start 12203.33909375
transcript.pyannote[903].end 12204.62159375
transcript.pyannote[904].speaker SPEAKER_06
transcript.pyannote[904].start 12204.62159375
transcript.pyannote[904].end 12204.63846875
transcript.pyannote[905].speaker SPEAKER_04
transcript.pyannote[905].start 12204.63846875
transcript.pyannote[905].end 12204.65534375
transcript.pyannote[906].speaker SPEAKER_06
transcript.pyannote[906].start 12204.65534375
transcript.pyannote[906].end 12204.67221875
transcript.pyannote[907].speaker SPEAKER_04
transcript.pyannote[907].start 12204.67221875
transcript.pyannote[907].end 12204.68909375
transcript.pyannote[908].speaker SPEAKER_06
transcript.pyannote[908].start 12205.81971875
transcript.pyannote[908].end 12208.08096875
transcript.pyannote[909].speaker SPEAKER_04
transcript.pyannote[909].start 12205.95471875
transcript.pyannote[909].end 12206.54534375
transcript.pyannote[910].speaker SPEAKER_06
transcript.pyannote[910].start 12208.41846875
transcript.pyannote[910].end 12209.92034375
transcript.pyannote[911].speaker SPEAKER_06
transcript.pyannote[911].start 12210.02159375
transcript.pyannote[911].end 12210.05534375
transcript.pyannote[912].speaker SPEAKER_04
transcript.pyannote[912].start 12210.05534375
transcript.pyannote[912].end 12212.65409375
transcript.pyannote[913].speaker SPEAKER_06
transcript.pyannote[913].start 12212.67096875
transcript.pyannote[913].end 12213.12659375
transcript.pyannote[914].speaker SPEAKER_04
transcript.pyannote[914].start 12212.97471875
transcript.pyannote[914].end 12213.09284375
transcript.pyannote[915].speaker SPEAKER_04
transcript.pyannote[915].start 12213.12659375
transcript.pyannote[915].end 12213.24471875
transcript.pyannote[916].speaker SPEAKER_06
transcript.pyannote[916].start 12213.24471875
transcript.pyannote[916].end 12213.27846875
transcript.pyannote[917].speaker SPEAKER_06
transcript.pyannote[917].start 12213.46409375
transcript.pyannote[917].end 12230.28846875
transcript.pyannote[918].speaker SPEAKER_04
transcript.pyannote[918].start 12230.28846875
transcript.pyannote[918].end 12231.53721875
transcript.pyannote[919].speaker SPEAKER_06
transcript.pyannote[919].start 12231.53721875
transcript.pyannote[919].end 12231.60471875
transcript.pyannote[920].speaker SPEAKER_06
transcript.pyannote[920].start 12231.80721875
transcript.pyannote[920].end 12233.30909375
transcript.pyannote[921].speaker SPEAKER_04
transcript.pyannote[921].start 12233.37659375
transcript.pyannote[921].end 12234.69284375
transcript.pyannote[922].speaker SPEAKER_06
transcript.pyannote[922].start 12234.89534375
transcript.pyannote[922].end 12236.58284375
transcript.pyannote[923].speaker SPEAKER_04
transcript.pyannote[923].start 12236.61659375
transcript.pyannote[923].end 12237.96659375
transcript.pyannote[924].speaker SPEAKER_06
transcript.pyannote[924].start 12237.96659375
transcript.pyannote[924].end 12238.03409375
transcript.pyannote[925].speaker SPEAKER_04
transcript.pyannote[925].start 12238.03409375
transcript.pyannote[925].end 12238.18596875
transcript.pyannote[926].speaker SPEAKER_06
transcript.pyannote[926].start 12238.18596875
transcript.pyannote[926].end 12238.32096875
transcript.pyannote[927].speaker SPEAKER_06
transcript.pyannote[927].start 12238.97909375
transcript.pyannote[927].end 12240.97034375
transcript.pyannote[928].speaker SPEAKER_06
transcript.pyannote[928].start 12241.27409375
transcript.pyannote[928].end 12261.10221875
transcript.pyannote[929].speaker SPEAKER_06
transcript.pyannote[929].start 12261.45659375
transcript.pyannote[929].end 12262.84034375
transcript.pyannote[930].speaker SPEAKER_06
transcript.pyannote[930].start 12263.36346875
transcript.pyannote[930].end 12266.73846875
transcript.pyannote[931].speaker SPEAKER_06
transcript.pyannote[931].start 12267.10971875
transcript.pyannote[931].end 12269.94471875
transcript.pyannote[932].speaker SPEAKER_06
transcript.pyannote[932].start 12270.19784375
transcript.pyannote[932].end 12272.03721875
transcript.pyannote[933].speaker SPEAKER_04
transcript.pyannote[933].start 12272.03721875
transcript.pyannote[933].end 12272.86409375
transcript.pyannote[934].speaker SPEAKER_06
transcript.pyannote[934].start 12272.86409375
transcript.pyannote[934].end 12272.88096875
transcript.pyannote[935].speaker SPEAKER_04
transcript.pyannote[935].start 12272.88096875
transcript.pyannote[935].end 12272.89784375
transcript.pyannote[936].speaker SPEAKER_06
transcript.pyannote[936].start 12272.89784375
transcript.pyannote[936].end 12272.94846875
transcript.pyannote[937].speaker SPEAKER_06
transcript.pyannote[937].start 12274.61909375
transcript.pyannote[937].end 12275.56409375
transcript.pyannote[938].speaker SPEAKER_06
transcript.pyannote[938].start 12276.03659375
transcript.pyannote[938].end 12277.20096875
transcript.pyannote[939].speaker SPEAKER_06
transcript.pyannote[939].start 12277.84221875
transcript.pyannote[939].end 12279.59721875
transcript.pyannote[940].speaker SPEAKER_06
transcript.pyannote[940].start 12279.79971875
transcript.pyannote[940].end 12283.12409375
transcript.pyannote[941].speaker SPEAKER_06
transcript.pyannote[941].start 12283.54596875
transcript.pyannote[941].end 12297.50159375
transcript.pyannote[942].speaker SPEAKER_06
transcript.pyannote[942].start 12297.60284375
transcript.pyannote[942].end 12298.91909375
transcript.pyannote[943].speaker SPEAKER_06
transcript.pyannote[943].start 12299.22284375
transcript.pyannote[943].end 12300.92721875
transcript.pyannote[944].speaker SPEAKER_06
transcript.pyannote[944].start 12301.02846875
transcript.pyannote[944].end 12302.59784375
transcript.pyannote[945].speaker SPEAKER_06
transcript.pyannote[945].start 12302.80034375
transcript.pyannote[945].end 12304.21784375
transcript.pyannote[946].speaker SPEAKER_04
transcript.pyannote[946].start 12304.40346875
transcript.pyannote[946].end 12305.78721875
transcript.pyannote[947].speaker SPEAKER_06
transcript.pyannote[947].start 12306.02346875
transcript.pyannote[947].end 12307.64346875
transcript.pyannote[948].speaker SPEAKER_04
transcript.pyannote[948].start 12307.77846875
transcript.pyannote[948].end 12309.19596875
transcript.pyannote[949].speaker SPEAKER_06
transcript.pyannote[949].start 12309.85409375
transcript.pyannote[949].end 12312.03096875
transcript.pyannote[950].speaker SPEAKER_06
transcript.pyannote[950].start 12312.21659375
transcript.pyannote[950].end 12313.78596875
transcript.pyannote[951].speaker SPEAKER_06
transcript.pyannote[951].start 12314.03909375
transcript.pyannote[951].end 12325.78409375
transcript.pyannote[952].speaker SPEAKER_06
transcript.pyannote[952].start 12325.91909375
transcript.pyannote[952].end 12327.26909375
transcript.pyannote[953].speaker SPEAKER_06
transcript.pyannote[953].start 12327.50534375
transcript.pyannote[953].end 12328.99034375
transcript.pyannote[954].speaker SPEAKER_06
transcript.pyannote[954].start 12329.00721875
transcript.pyannote[954].end 12329.04096875
transcript.pyannote[955].speaker SPEAKER_04
transcript.pyannote[955].start 12329.04096875
transcript.pyannote[955].end 12330.35721875
transcript.pyannote[956].speaker SPEAKER_06
transcript.pyannote[956].start 12330.55971875
transcript.pyannote[956].end 12332.09534375
transcript.pyannote[957].speaker SPEAKER_04
transcript.pyannote[957].start 12332.12909375
transcript.pyannote[957].end 12333.56346875
transcript.pyannote[958].speaker SPEAKER_06
transcript.pyannote[958].start 12333.81659375
transcript.pyannote[958].end 12336.70221875
transcript.pyannote[959].speaker SPEAKER_06
transcript.pyannote[959].start 12336.73596875
transcript.pyannote[959].end 12338.35596875
transcript.pyannote[960].speaker SPEAKER_04
transcript.pyannote[960].start 12338.47409375
transcript.pyannote[960].end 12339.73971875
transcript.pyannote[961].speaker SPEAKER_06
transcript.pyannote[961].start 12339.95909375
transcript.pyannote[961].end 12341.57909375
transcript.pyannote[962].speaker SPEAKER_04
transcript.pyannote[962].start 12341.59596875
transcript.pyannote[962].end 12343.03034375
transcript.pyannote[963].speaker SPEAKER_06
transcript.pyannote[963].start 12344.11034375
transcript.pyannote[963].end 12346.15221875
transcript.pyannote[964].speaker SPEAKER_06
transcript.pyannote[964].start 12346.69221875
transcript.pyannote[964].end 12348.19409375
transcript.pyannote[965].speaker SPEAKER_06
transcript.pyannote[965].start 12348.59909375
transcript.pyannote[965].end 12351.99096875
transcript.pyannote[966].speaker SPEAKER_06
transcript.pyannote[966].start 12352.21034375
transcript.pyannote[966].end 12356.90159375
transcript.pyannote[967].speaker SPEAKER_04
transcript.pyannote[967].start 12356.90159375
transcript.pyannote[967].end 12358.23471875
transcript.pyannote[968].speaker SPEAKER_06
transcript.pyannote[968].start 12358.45409375
transcript.pyannote[968].end 12359.95596875
transcript.pyannote[969].speaker SPEAKER_04
transcript.pyannote[969].start 12359.95596875
transcript.pyannote[969].end 12361.25534375
transcript.pyannote[970].speaker SPEAKER_06
transcript.pyannote[970].start 12361.42409375
transcript.pyannote[970].end 12365.89596875
transcript.pyannote[971].speaker SPEAKER_04
transcript.pyannote[971].start 12365.92971875
transcript.pyannote[971].end 12367.21221875
transcript.pyannote[972].speaker SPEAKER_06
transcript.pyannote[972].start 12367.58346875
transcript.pyannote[972].end 12369.30471875
transcript.pyannote[973].speaker SPEAKER_04
transcript.pyannote[973].start 12369.33846875
transcript.pyannote[973].end 12369.35534375
transcript.pyannote[974].speaker SPEAKER_04
transcript.pyannote[974].start 12369.37221875
transcript.pyannote[974].end 12370.92471875
transcript.pyannote[975].speaker SPEAKER_06
transcript.pyannote[975].start 12371.21159375
transcript.pyannote[975].end 12372.71346875
transcript.pyannote[976].speaker SPEAKER_04
transcript.pyannote[976].start 12372.71346875
transcript.pyannote[976].end 12373.97909375
transcript.pyannote[977].speaker SPEAKER_06
transcript.pyannote[977].start 12373.97909375
transcript.pyannote[977].end 12374.02971875
transcript.pyannote[978].speaker SPEAKER_06
transcript.pyannote[978].start 12374.24909375
transcript.pyannote[978].end 12376.62846875
transcript.pyannote[979].speaker SPEAKER_04
transcript.pyannote[979].start 12376.62846875
transcript.pyannote[979].end 12376.96596875
transcript.pyannote[980].speaker SPEAKER_06
transcript.pyannote[980].start 12376.96596875
transcript.pyannote[980].end 12378.16409375
transcript.pyannote[981].speaker SPEAKER_06
transcript.pyannote[981].start 12379.19346875
transcript.pyannote[981].end 12381.11721875
transcript.pyannote[982].speaker SPEAKER_06
transcript.pyannote[982].start 12381.60659375
transcript.pyannote[982].end 12383.36159375
transcript.pyannote[983].speaker SPEAKER_04
transcript.pyannote[983].start 12383.58096875
transcript.pyannote[983].end 12383.66534375
transcript.pyannote[984].speaker SPEAKER_06
transcript.pyannote[984].start 12383.66534375
transcript.pyannote[984].end 12383.68221875
transcript.pyannote[985].speaker SPEAKER_04
transcript.pyannote[985].start 12383.68221875
transcript.pyannote[985].end 12383.80034375
transcript.pyannote[986].speaker SPEAKER_06
transcript.pyannote[986].start 12383.80034375
transcript.pyannote[986].end 12385.03221875
transcript.pyannote[987].speaker SPEAKER_04
transcript.pyannote[987].start 12385.03221875
transcript.pyannote[987].end 12385.97721875
transcript.pyannote[988].speaker SPEAKER_06
transcript.pyannote[988].start 12385.97721875
transcript.pyannote[988].end 12386.02784375
transcript.pyannote[989].speaker SPEAKER_04
transcript.pyannote[989].start 12386.02784375
transcript.pyannote[989].end 12386.09534375
transcript.pyannote[990].speaker SPEAKER_06
transcript.pyannote[990].start 12386.09534375
transcript.pyannote[990].end 12386.23034375
transcript.pyannote[991].speaker SPEAKER_04
transcript.pyannote[991].start 12386.23034375
transcript.pyannote[991].end 12386.97284375
transcript.pyannote[992].speaker SPEAKER_06
transcript.pyannote[992].start 12387.27659375
transcript.pyannote[992].end 12388.81221875
transcript.pyannote[993].speaker SPEAKER_04
transcript.pyannote[993].start 12388.81221875
transcript.pyannote[993].end 12389.95971875
transcript.pyannote[994].speaker SPEAKER_06
transcript.pyannote[994].start 12390.29721875
transcript.pyannote[994].end 12391.81596875
transcript.pyannote[995].speaker SPEAKER_04
transcript.pyannote[995].start 12391.84971875
transcript.pyannote[995].end 12393.19971875
transcript.pyannote[996].speaker SPEAKER_06
transcript.pyannote[996].start 12393.38534375
transcript.pyannote[996].end 12394.88721875
transcript.pyannote[997].speaker SPEAKER_04
transcript.pyannote[997].start 12394.88721875
transcript.pyannote[997].end 12396.27096875
transcript.pyannote[998].speaker SPEAKER_06
transcript.pyannote[998].start 12396.49034375
transcript.pyannote[998].end 12401.24909375
transcript.pyannote[999].speaker SPEAKER_04
transcript.pyannote[999].start 12401.24909375
transcript.pyannote[999].end 12402.44721875
transcript.pyannote[1000].speaker SPEAKER_06
transcript.pyannote[1000].start 12402.44721875
transcript.pyannote[1000].end 12402.48096875
transcript.pyannote[1001].speaker SPEAKER_04
transcript.pyannote[1001].start 12402.48096875
transcript.pyannote[1001].end 12402.49784375
transcript.pyannote[1002].speaker SPEAKER_06
transcript.pyannote[1002].start 12402.71721875
transcript.pyannote[1002].end 12412.35284375
transcript.pyannote[1003].speaker SPEAKER_06
transcript.pyannote[1003].start 12413.17971875
transcript.pyannote[1003].end 12415.20471875
transcript.pyannote[1004].speaker SPEAKER_06
transcript.pyannote[1004].start 12415.62659375
transcript.pyannote[1004].end 12417.33096875
transcript.pyannote[1005].speaker SPEAKER_06
transcript.pyannote[1005].start 12417.61784375
transcript.pyannote[1005].end 12434.77971875
transcript.pyannote[1006].speaker SPEAKER_04
transcript.pyannote[1006].start 12434.77971875
transcript.pyannote[1006].end 12436.04534375
transcript.pyannote[1007].speaker SPEAKER_06
transcript.pyannote[1007].start 12436.38284375
transcript.pyannote[1007].end 12438.13784375
transcript.pyannote[1008].speaker SPEAKER_04
transcript.pyannote[1008].start 12438.13784375
transcript.pyannote[1008].end 12438.86346875
transcript.pyannote[1009].speaker SPEAKER_06
transcript.pyannote[1009].start 12438.86346875
transcript.pyannote[1009].end 12439.63971875
transcript.pyannote[1010].speaker SPEAKER_06
transcript.pyannote[1010].start 12439.90971875
transcript.pyannote[1010].end 12441.42846875
transcript.pyannote[1011].speaker SPEAKER_04
transcript.pyannote[1011].start 12441.42846875
transcript.pyannote[1011].end 12442.77846875
transcript.pyannote[1012].speaker SPEAKER_06
transcript.pyannote[1012].start 12442.87971875
transcript.pyannote[1012].end 12444.55034375
transcript.pyannote[1013].speaker SPEAKER_04
transcript.pyannote[1013].start 12444.55034375
transcript.pyannote[1013].end 12446.01846875
transcript.pyannote[1014].speaker SPEAKER_06
transcript.pyannote[1014].start 12446.62596875
transcript.pyannote[1014].end 12448.38096875
transcript.pyannote[1015].speaker SPEAKER_06
transcript.pyannote[1015].start 12448.83659375
transcript.pyannote[1015].end 12459.99096875
transcript.pyannote[1016].speaker SPEAKER_06
transcript.pyannote[1016].start 12460.00784375
transcript.pyannote[1016].end 12461.84721875
transcript.pyannote[1017].speaker SPEAKER_04
transcript.pyannote[1017].start 12461.84721875
transcript.pyannote[1017].end 12462.87659375
transcript.pyannote[1018].speaker SPEAKER_06
transcript.pyannote[1018].start 12462.87659375
transcript.pyannote[1018].end 12462.92721875
transcript.pyannote[1019].speaker SPEAKER_06
transcript.pyannote[1019].start 12463.11284375
transcript.pyannote[1019].end 12467.61846875
transcript.pyannote[1020].speaker SPEAKER_04
transcript.pyannote[1020].start 12467.63534375
transcript.pyannote[1020].end 12468.93471875
transcript.pyannote[1021].speaker SPEAKER_06
transcript.pyannote[1021].start 12469.22159375
transcript.pyannote[1021].end 12470.70659375
transcript.pyannote[1022].speaker SPEAKER_04
transcript.pyannote[1022].start 12470.79096875
transcript.pyannote[1022].end 12471.98909375
transcript.pyannote[1023].speaker SPEAKER_06
transcript.pyannote[1023].start 12472.29284375
transcript.pyannote[1023].end 12473.79471875
transcript.pyannote[1024].speaker SPEAKER_04
transcript.pyannote[1024].start 12473.79471875
transcript.pyannote[1024].end 12475.02659375
transcript.pyannote[1025].speaker SPEAKER_06
transcript.pyannote[1025].start 12475.36409375
transcript.pyannote[1025].end 12477.01784375
transcript.pyannote[1026].speaker SPEAKER_04
transcript.pyannote[1026].start 12477.01784375
transcript.pyannote[1026].end 12478.43534375
transcript.pyannote[1027].speaker SPEAKER_06
transcript.pyannote[1027].start 12478.43534375
transcript.pyannote[1027].end 12478.45221875
transcript.pyannote[1028].speaker SPEAKER_06
transcript.pyannote[1028].start 12479.68409375
transcript.pyannote[1028].end 12483.66659375
transcript.pyannote[1029].speaker SPEAKER_04
transcript.pyannote[1029].start 12483.98721875
transcript.pyannote[1029].end 12487.26096875
transcript.pyannote[1030].speaker SPEAKER_06
transcript.pyannote[1030].start 12487.56471875
transcript.pyannote[1030].end 12489.48846875
transcript.pyannote[1031].speaker SPEAKER_04
transcript.pyannote[1031].start 12489.48846875
transcript.pyannote[1031].end 12490.31534375
transcript.pyannote[1032].speaker SPEAKER_06
transcript.pyannote[1032].start 12490.53471875
transcript.pyannote[1032].end 12492.03659375
transcript.pyannote[1033].speaker SPEAKER_04
transcript.pyannote[1033].start 12492.03659375
transcript.pyannote[1033].end 12492.96471875
transcript.pyannote[1034].speaker SPEAKER_06
transcript.pyannote[1034].start 12492.96471875
transcript.pyannote[1034].end 12495.00659375
transcript.pyannote[1035].speaker SPEAKER_04
transcript.pyannote[1035].start 12495.00659375
transcript.pyannote[1035].end 12495.96846875
transcript.pyannote[1036].speaker SPEAKER_06
transcript.pyannote[1036].start 12495.96846875
transcript.pyannote[1036].end 12496.45784375
transcript.pyannote[1037].speaker SPEAKER_06
transcript.pyannote[1037].start 12496.54221875
transcript.pyannote[1037].end 12507.44346875
transcript.pyannote[1038].speaker SPEAKER_04
transcript.pyannote[1038].start 12507.44346875
transcript.pyannote[1038].end 12507.81471875
transcript.pyannote[1039].speaker SPEAKER_06
transcript.pyannote[1039].start 12507.81471875
transcript.pyannote[1039].end 12508.67534375
transcript.pyannote[1040].speaker SPEAKER_06
transcript.pyannote[1040].start 12508.87784375
transcript.pyannote[1040].end 12510.46409375
transcript.pyannote[1041].speaker SPEAKER_04
transcript.pyannote[1041].start 12510.46409375
transcript.pyannote[1041].end 12511.72971875
transcript.pyannote[1042].speaker SPEAKER_06
transcript.pyannote[1042].start 12511.72971875
transcript.pyannote[1042].end 12511.84784375
transcript.pyannote[1043].speaker SPEAKER_04
transcript.pyannote[1043].start 12511.84784375
transcript.pyannote[1043].end 12511.86471875
transcript.pyannote[1044].speaker SPEAKER_06
transcript.pyannote[1044].start 12513.23159375
transcript.pyannote[1044].end 12515.23971875
transcript.pyannote[1045].speaker SPEAKER_06
transcript.pyannote[1045].start 12515.40846875
transcript.pyannote[1045].end 12516.91034375
transcript.pyannote[1046].speaker SPEAKER_06
transcript.pyannote[1046].start 12517.45034375
transcript.pyannote[1046].end 12520.52159375
transcript.pyannote[1047].speaker SPEAKER_06
transcript.pyannote[1047].start 12520.77471875
transcript.pyannote[1047].end 12535.00034375
transcript.pyannote[1048].speaker SPEAKER_04
transcript.pyannote[1048].start 12535.00034375
transcript.pyannote[1048].end 12536.23221875
transcript.pyannote[1049].speaker SPEAKER_06
transcript.pyannote[1049].start 12536.58659375
transcript.pyannote[1049].end 12539.87721875
transcript.pyannote[1050].speaker SPEAKER_06
transcript.pyannote[1050].start 12540.21471875
transcript.pyannote[1050].end 12541.64909375
transcript.pyannote[1051].speaker SPEAKER_04
transcript.pyannote[1051].start 12541.73346875
transcript.pyannote[1051].end 12543.03284375
transcript.pyannote[1052].speaker SPEAKER_06
transcript.pyannote[1052].start 12543.25221875
transcript.pyannote[1052].end 12545.09159375
transcript.pyannote[1053].speaker SPEAKER_04
transcript.pyannote[1053].start 12545.09159375
transcript.pyannote[1053].end 12546.71159375
transcript.pyannote[1054].speaker SPEAKER_06
transcript.pyannote[1054].start 12547.80846875
transcript.pyannote[1054].end 12549.93471875
transcript.pyannote[1055].speaker SPEAKER_06
transcript.pyannote[1055].start 12550.17096875
transcript.pyannote[1055].end 12551.65596875
transcript.pyannote[1056].speaker SPEAKER_06
transcript.pyannote[1056].start 12551.99346875
transcript.pyannote[1056].end 12574.50471875
transcript.pyannote[1057].speaker SPEAKER_06
transcript.pyannote[1057].start 12574.62284375
transcript.pyannote[1057].end 12577.69409375
transcript.pyannote[1058].speaker SPEAKER_04
transcript.pyannote[1058].start 12577.79534375
transcript.pyannote[1058].end 12579.16221875
transcript.pyannote[1059].speaker SPEAKER_06
transcript.pyannote[1059].start 12580.29284375
transcript.pyannote[1059].end 12582.23346875
transcript.pyannote[1060].speaker SPEAKER_06
transcript.pyannote[1060].start 12582.43596875
transcript.pyannote[1060].end 12583.95471875
transcript.pyannote[1061].speaker SPEAKER_06
transcript.pyannote[1061].start 12584.44409375
transcript.pyannote[1061].end 12610.66784375
transcript.pyannote[1062].speaker SPEAKER_04
transcript.pyannote[1062].start 12610.66784375
transcript.pyannote[1062].end 12612.05159375
transcript.pyannote[1063].speaker SPEAKER_06
transcript.pyannote[1063].start 12612.05159375
transcript.pyannote[1063].end 12612.11909375
transcript.pyannote[1064].speaker SPEAKER_06
transcript.pyannote[1064].start 12613.40159375
transcript.pyannote[1064].end 12615.42659375
transcript.pyannote[1065].speaker SPEAKER_06
transcript.pyannote[1065].start 12615.94971875
transcript.pyannote[1065].end 12621.14721875
transcript.pyannote[1066].speaker SPEAKER_06
transcript.pyannote[1066].start 12621.55221875
transcript.pyannote[1066].end 12624.40409375
transcript.pyannote[1067].speaker SPEAKER_06
transcript.pyannote[1067].start 12624.72471875
transcript.pyannote[1067].end 12627.71159375
transcript.pyannote[1068].speaker SPEAKER_06
transcript.pyannote[1068].start 12627.74534375
transcript.pyannote[1068].end 12630.73221875
transcript.pyannote[1069].speaker SPEAKER_06
transcript.pyannote[1069].start 12630.85034375
transcript.pyannote[1069].end 12636.89159375
transcript.pyannote[1070].speaker SPEAKER_06
transcript.pyannote[1070].start 12637.07721875
transcript.pyannote[1070].end 12640.62096875
transcript.pyannote[1071].speaker SPEAKER_06
transcript.pyannote[1071].start 12641.02596875
transcript.pyannote[1071].end 12644.02971875
transcript.pyannote[1072].speaker SPEAKER_06
transcript.pyannote[1072].start 12644.28284375
transcript.pyannote[1072].end 12645.91971875
transcript.pyannote[1073].speaker SPEAKER_04
transcript.pyannote[1073].start 12646.00409375
transcript.pyannote[1073].end 12647.45534375
transcript.pyannote[1074].speaker SPEAKER_06
transcript.pyannote[1074].start 12649.46346875
transcript.pyannote[1074].end 12651.31971875
transcript.pyannote[1075].speaker SPEAKER_06
transcript.pyannote[1075].start 12651.74159375
transcript.pyannote[1075].end 12653.47971875
transcript.pyannote[1076].speaker SPEAKER_06
transcript.pyannote[1076].start 12653.80034375
transcript.pyannote[1076].end 12668.16096875
transcript.pyannote[1077].speaker SPEAKER_04
transcript.pyannote[1077].start 12668.16096875
transcript.pyannote[1077].end 12668.88659375
transcript.pyannote[1078].speaker SPEAKER_06
transcript.pyannote[1078].start 12668.88659375
transcript.pyannote[1078].end 12669.67971875
transcript.pyannote[1079].speaker SPEAKER_06
transcript.pyannote[1079].start 12669.78096875
transcript.pyannote[1079].end 12671.28284375
transcript.pyannote[1080].speaker SPEAKER_04
transcript.pyannote[1080].start 12671.43471875
transcript.pyannote[1080].end 12672.76784375
transcript.pyannote[1081].speaker SPEAKER_06
transcript.pyannote[1081].start 12672.97034375
transcript.pyannote[1081].end 12674.72534375
transcript.pyannote[1082].speaker SPEAKER_04
transcript.pyannote[1082].start 12674.72534375
transcript.pyannote[1082].end 12675.99096875
transcript.pyannote[1083].speaker SPEAKER_06
transcript.pyannote[1083].start 12675.99096875
transcript.pyannote[1083].end 12676.09221875
transcript.pyannote[1084].speaker SPEAKER_04
transcript.pyannote[1084].start 12676.09221875
transcript.pyannote[1084].end 12676.41284375
transcript.pyannote[1085].speaker SPEAKER_06
transcript.pyannote[1085].start 12676.71659375
transcript.pyannote[1085].end 12678.21846875
transcript.pyannote[1086].speaker SPEAKER_04
transcript.pyannote[1086].start 12678.21846875
transcript.pyannote[1086].end 12678.97784375
transcript.pyannote[1087].speaker SPEAKER_06
transcript.pyannote[1087].start 12678.97784375
transcript.pyannote[1087].end 12682.94346875
transcript.pyannote[1088].speaker SPEAKER_06
transcript.pyannote[1088].start 12683.90534375
transcript.pyannote[1088].end 12685.98096875
transcript.pyannote[1089].speaker SPEAKER_06
transcript.pyannote[1089].start 12686.03159375
transcript.pyannote[1089].end 12691.26284375
transcript.pyannote[1090].speaker SPEAKER_06
transcript.pyannote[1090].start 12691.61721875
transcript.pyannote[1090].end 12706.80471875
transcript.pyannote[1091].speaker SPEAKER_06
transcript.pyannote[1091].start 12706.99034375
transcript.pyannote[1091].end 12708.89721875
transcript.pyannote[1092].speaker SPEAKER_04
transcript.pyannote[1092].start 12708.89721875
transcript.pyannote[1092].end 12709.45409375
transcript.pyannote[1093].speaker SPEAKER_06
transcript.pyannote[1093].start 12709.45409375
transcript.pyannote[1093].end 12710.26409375
transcript.pyannote[1094].speaker SPEAKER_06
transcript.pyannote[1094].start 12710.60159375
transcript.pyannote[1094].end 12716.94659375
transcript.pyannote[1095].speaker SPEAKER_06
transcript.pyannote[1095].start 12717.99284375
transcript.pyannote[1095].end 12720.05159375
transcript.pyannote[1096].speaker SPEAKER_06
transcript.pyannote[1096].start 12720.37221875
transcript.pyannote[1096].end 12722.12721875
transcript.pyannote[1097].speaker SPEAKER_06
transcript.pyannote[1097].start 12722.56596875
transcript.pyannote[1097].end 12725.89034375
transcript.pyannote[1098].speaker SPEAKER_06
transcript.pyannote[1098].start 12725.94096875
transcript.pyannote[1098].end 12731.88096875
transcript.pyannote[1099].speaker SPEAKER_06
transcript.pyannote[1099].start 12732.01596875
transcript.pyannote[1099].end 12744.68909375
transcript.pyannote[1100].speaker SPEAKER_06
transcript.pyannote[1100].start 12744.72284375
transcript.pyannote[1100].end 12747.72659375
transcript.pyannote[1101].speaker SPEAKER_06
transcript.pyannote[1101].start 12747.91221875
transcript.pyannote[1101].end 12751.23659375
transcript.pyannote[1102].speaker SPEAKER_06
transcript.pyannote[1102].start 12752.43471875
transcript.pyannote[1102].end 12754.49346875
transcript.pyannote[1103].speaker SPEAKER_06
transcript.pyannote[1103].start 12754.83096875
transcript.pyannote[1103].end 12756.61971875
transcript.pyannote[1104].speaker SPEAKER_06
transcript.pyannote[1104].start 12756.90659375
transcript.pyannote[1104].end 12784.73346875
transcript.pyannote[1105].speaker SPEAKER_06
transcript.pyannote[1105].start 12785.59409375
transcript.pyannote[1105].end 12787.53471875
transcript.pyannote[1106].speaker SPEAKER_06
transcript.pyannote[1106].start 12787.93971875
transcript.pyannote[1106].end 12818.58471875
transcript.pyannote[1107].speaker SPEAKER_06
transcript.pyannote[1107].start 12819.46221875
transcript.pyannote[1107].end 12821.60534375
transcript.pyannote[1108].speaker SPEAKER_06
transcript.pyannote[1108].start 12821.85846875
transcript.pyannote[1108].end 12840.82596875
transcript.pyannote[1109].speaker SPEAKER_06
transcript.pyannote[1109].start 12841.58534375
transcript.pyannote[1109].end 12847.18784375
transcript.pyannote[1110].speaker SPEAKER_06
transcript.pyannote[1110].start 12847.23846875
transcript.pyannote[1110].end 12850.39409375
transcript.pyannote[1111].speaker SPEAKER_06
transcript.pyannote[1111].start 12851.06909375
transcript.pyannote[1111].end 12853.17846875
transcript.pyannote[1112].speaker SPEAKER_06
transcript.pyannote[1112].start 12853.33034375
transcript.pyannote[1112].end 12879.84096875
transcript.pyannote[1113].speaker SPEAKER_06
transcript.pyannote[1113].start 12879.97596875
transcript.pyannote[1113].end 12883.16534375
transcript.pyannote[1114].speaker SPEAKER_06
transcript.pyannote[1114].start 12884.27909375
transcript.pyannote[1114].end 12888.10971875
transcript.pyannote[1115].speaker SPEAKER_06
transcript.pyannote[1115].start 12888.58221875
transcript.pyannote[1115].end 12915.91971875
transcript.pyannote[1116].speaker SPEAKER_06
transcript.pyannote[1116].start 12916.69596875
transcript.pyannote[1116].end 12918.75471875
transcript.pyannote[1117].speaker SPEAKER_06
transcript.pyannote[1117].start 12919.24409375
transcript.pyannote[1117].end 12924.35721875
transcript.pyannote[1118].speaker SPEAKER_06
transcript.pyannote[1118].start 12924.61034375
transcript.pyannote[1118].end 12927.41159375
transcript.pyannote[1119].speaker SPEAKER_06
transcript.pyannote[1119].start 12927.73221875
transcript.pyannote[1119].end 12949.95659375
transcript.pyannote[1120].speaker SPEAKER_06
transcript.pyannote[1120].start 12950.56409375
transcript.pyannote[1120].end 12952.57221875
transcript.pyannote[1121].speaker SPEAKER_06
transcript.pyannote[1121].start 12952.90971875
transcript.pyannote[1121].end 12957.87096875
transcript.pyannote[1122].speaker SPEAKER_06
transcript.pyannote[1122].start 12958.22534375
transcript.pyannote[1122].end 12976.60221875
transcript.pyannote[1123].speaker SPEAKER_06
transcript.pyannote[1123].start 12976.87221875
transcript.pyannote[1123].end 12982.71096875
transcript.pyannote[1124].speaker SPEAKER_06
transcript.pyannote[1124].start 12983.45346875
transcript.pyannote[1124].end 12985.56284375
transcript.pyannote[1125].speaker SPEAKER_06
transcript.pyannote[1125].start 12986.08596875
transcript.pyannote[1125].end 12987.99284375
transcript.pyannote[1126].speaker SPEAKER_06
transcript.pyannote[1126].start 12988.17846875
transcript.pyannote[1126].end 12991.06409375
transcript.pyannote[1127].speaker SPEAKER_06
transcript.pyannote[1127].start 12991.11471875
transcript.pyannote[1127].end 13015.73534375
transcript.pyannote[1128].speaker SPEAKER_06
transcript.pyannote[1128].start 13016.73096875
transcript.pyannote[1128].end 13018.67159375
transcript.pyannote[1129].speaker SPEAKER_06
transcript.pyannote[1129].start 13019.11034375
transcript.pyannote[1129].end 13046.90346875
transcript.pyannote[1130].speaker SPEAKER_06
transcript.pyannote[1130].start 13047.34221875
transcript.pyannote[1130].end 13048.79346875
transcript.pyannote[1131].speaker SPEAKER_06
transcript.pyannote[1131].start 13049.95784375
transcript.pyannote[1131].end 13052.10096875
transcript.pyannote[1132].speaker SPEAKER_06
transcript.pyannote[1132].start 13052.23596875
transcript.pyannote[1132].end 13081.48034375
transcript.pyannote[1133].speaker SPEAKER_06
transcript.pyannote[1133].start 13082.91471875
transcript.pyannote[1133].end 13085.02409375
transcript.pyannote[1134].speaker SPEAKER_06
transcript.pyannote[1134].start 13085.19284375
transcript.pyannote[1134].end 13086.66096875
transcript.pyannote[1135].speaker SPEAKER_06
transcript.pyannote[1135].start 13087.15034375
transcript.pyannote[1135].end 13089.66471875
transcript.pyannote[1136].speaker SPEAKER_06
transcript.pyannote[1136].start 13090.08659375
transcript.pyannote[1136].end 13092.71909375
transcript.pyannote[1137].speaker SPEAKER_06
transcript.pyannote[1137].start 13093.09034375
transcript.pyannote[1137].end 13107.46784375
transcript.pyannote[1138].speaker SPEAKER_06
transcript.pyannote[1138].start 13107.63659375
transcript.pyannote[1138].end 13110.45471875
transcript.pyannote[1139].speaker SPEAKER_06
transcript.pyannote[1139].start 13110.57284375
transcript.pyannote[1139].end 13113.64409375
transcript.pyannote[1140].speaker SPEAKER_06
transcript.pyannote[1140].start 13114.67346875
transcript.pyannote[1140].end 13116.78284375
transcript.pyannote[1141].speaker SPEAKER_06
transcript.pyannote[1141].start 13116.95159375
transcript.pyannote[1141].end 13141.65659375
transcript.pyannote[1142].speaker SPEAKER_06
transcript.pyannote[1142].start 13141.77471875
transcript.pyannote[1142].end 13144.79534375
transcript.pyannote[1143].speaker SPEAKER_06
transcript.pyannote[1143].start 13146.12846875
transcript.pyannote[1143].end 13177.17846875
transcript.pyannote[1144].speaker SPEAKER_06
transcript.pyannote[1144].start 13177.97159375
transcript.pyannote[1144].end 13180.04721875
transcript.pyannote[1145].speaker SPEAKER_06
transcript.pyannote[1145].start 13180.41846875
transcript.pyannote[1145].end 13210.16909375
transcript.pyannote[1146].speaker SPEAKER_06
transcript.pyannote[1146].start 13210.75971875
transcript.pyannote[1146].end 13212.85221875
transcript.pyannote[1147].speaker SPEAKER_06
transcript.pyannote[1147].start 13213.18971875
transcript.pyannote[1147].end 13242.26534375
transcript.pyannote[1148].speaker SPEAKER_06
transcript.pyannote[1148].start 13245.08346875
transcript.pyannote[1148].end 13247.24346875
transcript.pyannote[1149].speaker SPEAKER_06
transcript.pyannote[1149].start 13247.58096875
transcript.pyannote[1149].end 13255.59659375
transcript.pyannote[1150].speaker SPEAKER_06
transcript.pyannote[1150].start 13255.93409375
transcript.pyannote[1150].end 13274.37846875
transcript.pyannote[1151].speaker SPEAKER_06
transcript.pyannote[1151].start 13274.49659375
transcript.pyannote[1151].end 13277.70284375
transcript.pyannote[1152].speaker SPEAKER_06
transcript.pyannote[1152].start 13278.47909375
transcript.pyannote[1152].end 13280.70659375
transcript.pyannote[1153].speaker SPEAKER_06
transcript.pyannote[1153].start 13281.07784375
transcript.pyannote[1153].end 13285.88721875
transcript.pyannote[1154].speaker SPEAKER_06
transcript.pyannote[1154].start 13286.17409375
transcript.pyannote[1154].end 13310.87909375
transcript.pyannote[1155].speaker SPEAKER_06
transcript.pyannote[1155].start 13311.62159375
transcript.pyannote[1155].end 13313.73096875
transcript.pyannote[1156].speaker SPEAKER_06
transcript.pyannote[1156].start 13314.10221875
transcript.pyannote[1156].end 13340.51159375
transcript.pyannote[1157].speaker SPEAKER_06
transcript.pyannote[1157].start 13340.57909375
transcript.pyannote[1157].end 13343.71784375
transcript.pyannote[1158].speaker SPEAKER_06
transcript.pyannote[1158].start 13344.56159375
transcript.pyannote[1158].end 13346.87346875
transcript.pyannote[1159].speaker SPEAKER_06
transcript.pyannote[1159].start 13347.12659375
transcript.pyannote[1159].end 13374.07596875
transcript.pyannote[1160].speaker SPEAKER_06
transcript.pyannote[1160].start 13374.17721875
transcript.pyannote[1160].end 13377.33284375
transcript.pyannote[1161].speaker SPEAKER_06
transcript.pyannote[1161].start 13379.18909375
transcript.pyannote[1161].end 13381.29846875
transcript.pyannote[1162].speaker SPEAKER_06
transcript.pyannote[1162].start 13382.47971875
transcript.pyannote[1162].end 13383.99846875
transcript.pyannote[1163].speaker SPEAKER_06
transcript.pyannote[1163].start 13384.18409375
transcript.pyannote[1163].end 13386.95159375
transcript.pyannote[1164].speaker SPEAKER_06
transcript.pyannote[1164].start 13387.18784375
transcript.pyannote[1164].end 13407.91034375
transcript.pyannote[1165].speaker SPEAKER_06
transcript.pyannote[1165].start 13408.01159375
transcript.pyannote[1165].end 13411.13346875
transcript.pyannote[1166].speaker SPEAKER_06
transcript.pyannote[1166].start 13412.09534375
transcript.pyannote[1166].end 13414.27221875
transcript.pyannote[1167].speaker SPEAKER_06
transcript.pyannote[1167].start 13414.50846875
transcript.pyannote[1167].end 13422.43971875
transcript.pyannote[1168].speaker SPEAKER_06
transcript.pyannote[1168].start 13422.82784375
transcript.pyannote[1168].end 13431.56909375
transcript.pyannote[1169].speaker SPEAKER_06
transcript.pyannote[1169].start 13431.94034375
transcript.pyannote[1169].end 13441.03596875
transcript.pyannote[1170].speaker SPEAKER_06
transcript.pyannote[1170].start 13441.18784375
transcript.pyannote[1170].end 13444.34346875
transcript.pyannote[1171].speaker SPEAKER_06
transcript.pyannote[1171].start 13445.37284375
transcript.pyannote[1171].end 13447.54971875
transcript.pyannote[1172].speaker SPEAKER_06
transcript.pyannote[1172].start 13447.88721875
transcript.pyannote[1172].end 13477.13159375
transcript.pyannote[1173].speaker SPEAKER_06
transcript.pyannote[1173].start 13477.90784375
transcript.pyannote[1173].end 13479.93284375
transcript.pyannote[1174].speaker SPEAKER_06
transcript.pyannote[1174].start 13480.35471875
transcript.pyannote[1174].end 13482.12659375
transcript.pyannote[1175].speaker SPEAKER_06
transcript.pyannote[1175].start 13482.32909375
transcript.pyannote[1175].end 13488.58971875
transcript.pyannote[1176].speaker SPEAKER_06
transcript.pyannote[1176].start 13488.75846875
transcript.pyannote[1176].end 13508.24909375
transcript.pyannote[1177].speaker SPEAKER_06
transcript.pyannote[1177].start 13508.38409375
transcript.pyannote[1177].end 13510.12221875
transcript.pyannote[1178].speaker SPEAKER_06
transcript.pyannote[1178].start 13510.27409375
transcript.pyannote[1178].end 13511.94471875
transcript.pyannote[1179].speaker SPEAKER_06
transcript.pyannote[1179].start 13642.16909375
transcript.pyannote[1179].end 13644.27846875
transcript.pyannote[1180].speaker SPEAKER_06
transcript.pyannote[1180].start 13644.97034375
transcript.pyannote[1180].end 13646.70846875
transcript.pyannote[1181].speaker SPEAKER_06
transcript.pyannote[1181].start 13647.14721875
transcript.pyannote[1181].end 13650.77534375
transcript.pyannote[1182].speaker SPEAKER_06
transcript.pyannote[1182].start 13651.43346875
transcript.pyannote[1182].end 13654.23471875
transcript.pyannote[1183].speaker SPEAKER_06
transcript.pyannote[1183].start 13654.63971875
transcript.pyannote[1183].end 13667.93721875
transcript.pyannote[1184].speaker SPEAKER_06
transcript.pyannote[1184].start 13668.34221875
transcript.pyannote[1184].end 13672.03784375
transcript.pyannote[1185].speaker SPEAKER_06
transcript.pyannote[1185].start 13672.22346875
transcript.pyannote[1185].end 13675.37909375
transcript.pyannote[1186].speaker SPEAKER_06
transcript.pyannote[1186].start 13675.46346875
transcript.pyannote[1186].end 13678.97346875
transcript.pyannote[1187].speaker SPEAKER_06
transcript.pyannote[1187].start 13680.67784375
transcript.pyannote[1187].end 13682.71971875
transcript.pyannote[1188].speaker SPEAKER_06
transcript.pyannote[1188].start 13683.14159375
transcript.pyannote[1188].end 13684.96409375
transcript.pyannote[1189].speaker SPEAKER_06
transcript.pyannote[1189].start 13685.04846875
transcript.pyannote[1189].end 13688.59221875
transcript.pyannote[1190].speaker SPEAKER_06
transcript.pyannote[1190].start 13689.06471875
transcript.pyannote[1190].end 13692.03471875
transcript.pyannote[1191].speaker SPEAKER_06
transcript.pyannote[1191].start 13692.40596875
transcript.pyannote[1191].end 13695.62909375
transcript.pyannote[1192].speaker SPEAKER_06
transcript.pyannote[1192].start 13695.83159375
transcript.pyannote[1192].end 13701.68721875
transcript.pyannote[1193].speaker SPEAKER_06
transcript.pyannote[1193].start 13701.97409375
transcript.pyannote[1193].end 13702.61534375
transcript.pyannote[1194].speaker SPEAKER_06
transcript.pyannote[1194].start 13703.10471875
transcript.pyannote[1194].end 13706.24346875
transcript.pyannote[1195].speaker SPEAKER_06
transcript.pyannote[1195].start 13706.64846875
transcript.pyannote[1195].end 13717.11096875
transcript.pyannote[1196].speaker SPEAKER_06
transcript.pyannote[1196].start 13718.15721875
transcript.pyannote[1196].end 13719.97971875
transcript.pyannote[1197].speaker SPEAKER_06
transcript.pyannote[1197].start 13720.33409375
transcript.pyannote[1197].end 13725.51471875
transcript.pyannote[1198].speaker SPEAKER_06
transcript.pyannote[1198].start 13725.83534375
transcript.pyannote[1198].end 13728.87284375
transcript.pyannote[1199].speaker SPEAKER_06
transcript.pyannote[1199].start 13729.02471875
transcript.pyannote[1199].end 13738.96409375
transcript.pyannote[1200].speaker SPEAKER_06
transcript.pyannote[1200].start 13739.16659375
transcript.pyannote[1200].end 13742.35596875
transcript.pyannote[1201].speaker SPEAKER_06
transcript.pyannote[1201].start 13742.69346875
transcript.pyannote[1201].end 13753.44284375
transcript.pyannote[1202].speaker SPEAKER_06
transcript.pyannote[1202].start 13754.52284375
transcript.pyannote[1202].end 13756.64909375
transcript.pyannote[1203].speaker SPEAKER_06
transcript.pyannote[1203].start 13757.17221875
transcript.pyannote[1203].end 13765.23846875
transcript.pyannote[1204].speaker SPEAKER_06
transcript.pyannote[1204].start 13765.45784375
transcript.pyannote[1204].end 13778.68784375
transcript.pyannote[1205].speaker SPEAKER_06
transcript.pyannote[1205].start 13779.00846875
transcript.pyannote[1205].end 13782.75471875
transcript.pyannote[1206].speaker SPEAKER_06
transcript.pyannote[1206].start 13782.92346875
transcript.pyannote[1206].end 13785.80909375
transcript.pyannote[1207].speaker SPEAKER_06
transcript.pyannote[1207].start 13786.19721875
transcript.pyannote[1207].end 13790.06159375
transcript.pyannote[1208].speaker SPEAKER_05
transcript.pyannote[1208].start 14722.35471875
transcript.pyannote[1208].end 14723.19846875
transcript.pyannote[1209].speaker SPEAKER_05
transcript.pyannote[1209].start 14723.38409375
transcript.pyannote[1209].end 14726.69159375
transcript.pyannote[1210].speaker SPEAKER_05
transcript.pyannote[1210].start 14728.69971875
transcript.pyannote[1210].end 14734.87596875
transcript.pyannote[1211].speaker SPEAKER_05
transcript.pyannote[1211].start 14735.41596875
transcript.pyannote[1211].end 14738.31846875
transcript.pyannote[1212].speaker SPEAKER_05
transcript.pyannote[1212].start 14738.62221875
transcript.pyannote[1212].end 14741.84534375
transcript.pyannote[1213].speaker SPEAKER_05
transcript.pyannote[1213].start 14742.57096875
transcript.pyannote[1213].end 14746.08096875
transcript.pyannote[1214].speaker SPEAKER_05
transcript.pyannote[1214].start 14746.43534375
transcript.pyannote[1214].end 14749.64159375
transcript.pyannote[1215].speaker SPEAKER_05
transcript.pyannote[1215].start 14750.24909375
transcript.pyannote[1215].end 14753.15159375
transcript.pyannote[1216].speaker SPEAKER_05
transcript.pyannote[1216].start 14754.26534375
transcript.pyannote[1216].end 14757.08346875
transcript.pyannote[1217].speaker SPEAKER_05
transcript.pyannote[1217].start 14757.65721875
transcript.pyannote[1217].end 14758.55159375
transcript.pyannote[1218].speaker SPEAKER_05
transcript.pyannote[1218].start 14759.29409375
transcript.pyannote[1218].end 14764.91346875
transcript.pyannote[1219].speaker SPEAKER_05
transcript.pyannote[1219].start 14765.21721875
transcript.pyannote[1219].end 14766.60096875
transcript.pyannote[1220].speaker SPEAKER_05
transcript.pyannote[1220].start 14767.17471875
transcript.pyannote[1220].end 14769.58784375
transcript.pyannote[1221].speaker SPEAKER_05
transcript.pyannote[1221].start 14769.89159375
transcript.pyannote[1221].end 14773.01346875
transcript.pyannote[1222].speaker SPEAKER_05
transcript.pyannote[1222].start 14773.63784375
transcript.pyannote[1222].end 14777.87346875
transcript.pyannote[1223].speaker SPEAKER_05
transcript.pyannote[1223].start 14778.63284375
transcript.pyannote[1223].end 14780.06721875
transcript.pyannote[1224].speaker SPEAKER_05
transcript.pyannote[1224].start 14780.96159375
transcript.pyannote[1224].end 14781.77159375
transcript.pyannote[1225].speaker SPEAKER_05
transcript.pyannote[1225].start 14781.90659375
transcript.pyannote[1225].end 14782.75034375
transcript.pyannote[1226].speaker SPEAKER_05
transcript.pyannote[1226].start 14783.56034375
transcript.pyannote[1226].end 14784.43784375
transcript.pyannote[1227].speaker SPEAKER_05
transcript.pyannote[1227].start 14785.12971875
transcript.pyannote[1227].end 14786.93534375
transcript.pyannote[1228].speaker SPEAKER_05
transcript.pyannote[1228].start 14787.86346875
transcript.pyannote[1228].end 14789.90534375
transcript.pyannote[1229].speaker SPEAKER_05
transcript.pyannote[1229].start 14790.49596875
transcript.pyannote[1229].end 14791.39034375
transcript.pyannote[1230].speaker SPEAKER_05
transcript.pyannote[1230].start 14791.59284375
transcript.pyannote[1230].end 14792.31846875
transcript.pyannote[1231].speaker SPEAKER_05
transcript.pyannote[1231].start 14793.28034375
transcript.pyannote[1231].end 14794.32659375
transcript.pyannote[1232].speaker SPEAKER_05
transcript.pyannote[1232].start 14794.96784375
transcript.pyannote[1232].end 14797.16159375
transcript.pyannote[1233].speaker SPEAKER_05
transcript.pyannote[1233].start 14797.85346875
transcript.pyannote[1233].end 14799.40596875
transcript.pyannote[1234].speaker SPEAKER_05
transcript.pyannote[1234].start 14799.96284375
transcript.pyannote[1234].end 14801.43096875
transcript.pyannote[1235].speaker SPEAKER_05
transcript.pyannote[1235].start 14802.29159375
transcript.pyannote[1235].end 14803.15221875
transcript.pyannote[1236].speaker SPEAKER_05
transcript.pyannote[1236].start 14804.08034375
transcript.pyannote[1236].end 14806.17284375
transcript.pyannote[1237].speaker SPEAKER_05
transcript.pyannote[1237].start 14806.89846875
transcript.pyannote[1237].end 14808.40034375
transcript.pyannote[1238].speaker SPEAKER_05
transcript.pyannote[1238].start 14809.04159375
transcript.pyannote[1238].end 14810.54346875
transcript.pyannote[1239].speaker SPEAKER_05
transcript.pyannote[1239].start 14812.01159375
transcript.pyannote[1239].end 14814.15471875
transcript.pyannote[1240].speaker SPEAKER_05
transcript.pyannote[1240].start 14814.69471875
transcript.pyannote[1240].end 14815.04909375
transcript.pyannote[1241].speaker SPEAKER_05
transcript.pyannote[1241].start 14815.48784375
transcript.pyannote[1241].end 14822.45721875
transcript.pyannote[1242].speaker SPEAKER_05
transcript.pyannote[1242].start 14822.87909375
transcript.pyannote[1242].end 14823.41909375
transcript.pyannote[1243].speaker SPEAKER_05
transcript.pyannote[1243].start 14824.09409375
transcript.pyannote[1243].end 14827.30034375
transcript.pyannote[1244].speaker SPEAKER_05
transcript.pyannote[1244].start 14828.29596875
transcript.pyannote[1244].end 14828.65034375
transcript.pyannote[1245].speaker SPEAKER_05
transcript.pyannote[1245].start 14829.25784375
transcript.pyannote[1245].end 14830.20284375
transcript.pyannote[1246].speaker SPEAKER_05
transcript.pyannote[1246].start 14830.52346875
transcript.pyannote[1246].end 14834.65784375
transcript.pyannote[1247].speaker SPEAKER_05
transcript.pyannote[1247].start 14835.02909375
transcript.pyannote[1247].end 14835.60284375
transcript.pyannote[1248].speaker SPEAKER_05
transcript.pyannote[1248].start 14836.04159375
transcript.pyannote[1248].end 14836.59846875
transcript.pyannote[1249].speaker SPEAKER_05
transcript.pyannote[1249].start 14837.23971875
transcript.pyannote[1249].end 14840.47971875
transcript.pyannote[1250].speaker SPEAKER_05
transcript.pyannote[1250].start 14841.15471875
transcript.pyannote[1250].end 14841.64409375
transcript.pyannote[1251].speaker SPEAKER_05
transcript.pyannote[1251].start 14842.48784375
transcript.pyannote[1251].end 14844.44534375
transcript.pyannote[1252].speaker SPEAKER_05
transcript.pyannote[1252].start 14844.59721875
transcript.pyannote[1252].end 14848.64721875
transcript.pyannote[1253].speaker SPEAKER_05
transcript.pyannote[1253].start 14848.96784375
transcript.pyannote[1253].end 14850.14909375
transcript.pyannote[1254].speaker SPEAKER_05
transcript.pyannote[1254].start 14850.58784375
transcript.pyannote[1254].end 14851.68471875
transcript.pyannote[1255].speaker SPEAKER_05
transcript.pyannote[1255].start 14852.32596875
transcript.pyannote[1255].end 14856.46034375
transcript.pyannote[1256].speaker SPEAKER_05
transcript.pyannote[1256].start 14856.66284375
transcript.pyannote[1256].end 14857.35471875
transcript.pyannote[1257].speaker SPEAKER_05
transcript.pyannote[1257].start 14857.72596875
transcript.pyannote[1257].end 14861.87721875
transcript.pyannote[1258].speaker SPEAKER_05
transcript.pyannote[1258].start 14863.56471875
transcript.pyannote[1258].end 14864.03721875
transcript.pyannote[1259].speaker SPEAKER_05
transcript.pyannote[1259].start 14864.67846875
transcript.pyannote[1259].end 14871.95159375
transcript.pyannote[1260].speaker SPEAKER_05
transcript.pyannote[1260].start 14872.32284375
transcript.pyannote[1260].end 14880.74346875
transcript.pyannote[1261].speaker SPEAKER_05
transcript.pyannote[1261].start 14881.30034375
transcript.pyannote[1261].end 14886.05909375
transcript.pyannote[1262].speaker SPEAKER_05
transcript.pyannote[1262].start 14886.97034375
transcript.pyannote[1262].end 14890.85159375
transcript.pyannote[1263].speaker SPEAKER_05
transcript.pyannote[1263].start 14892.77534375
transcript.pyannote[1263].end 14893.48409375
transcript.pyannote[1264].speaker SPEAKER_05
transcript.pyannote[1264].start 14893.88909375
transcript.pyannote[1264].end 14898.79971875
transcript.pyannote[1265].speaker SPEAKER_05
transcript.pyannote[1265].start 14899.13721875
transcript.pyannote[1265].end 14905.66784375
transcript.pyannote[1266].speaker SPEAKER_05
transcript.pyannote[1266].start 14906.15721875
transcript.pyannote[1266].end 14906.86596875
transcript.pyannote[1267].speaker SPEAKER_05
transcript.pyannote[1267].start 14907.03471875
transcript.pyannote[1267].end 14911.21971875
transcript.pyannote[1268].speaker SPEAKER_05
transcript.pyannote[1268].start 14911.43909375
transcript.pyannote[1268].end 14919.45471875
transcript.pyannote[1269].speaker SPEAKER_05
transcript.pyannote[1269].start 14920.02846875
transcript.pyannote[1269].end 14922.50909375
transcript.pyannote[1270].speaker SPEAKER_05
transcript.pyannote[1270].start 14925.63096875
transcript.pyannote[1270].end 14926.93034375
transcript.pyannote[1271].speaker SPEAKER_05
transcript.pyannote[1271].start 14927.30159375
transcript.pyannote[1271].end 14928.24659375
transcript.pyannote[1272].speaker SPEAKER_05
transcript.pyannote[1272].start 14929.25909375
transcript.pyannote[1272].end 14930.05221875
transcript.pyannote[1273].speaker SPEAKER_05
transcript.pyannote[1273].start 14930.49096875
transcript.pyannote[1273].end 14932.38096875
transcript.pyannote[1274].speaker SPEAKER_05
transcript.pyannote[1274].start 21594.51284375
transcript.pyannote[1274].end 21601.60034375
transcript.pyannote[1275].speaker SPEAKER_05
transcript.pyannote[1275].start 21602.10659375
transcript.pyannote[1275].end 21609.53159375
transcript.pyannote[1276].speaker SPEAKER_02
transcript.pyannote[1276].start 21619.40346875
transcript.pyannote[1276].end 21621.91784375
transcript.pyannote[1277].speaker SPEAKER_02
transcript.pyannote[1277].start 21622.28909375
transcript.pyannote[1277].end 21623.13284375
transcript.pyannote[1278].speaker SPEAKER_02
transcript.pyannote[1278].start 21623.31846875
transcript.pyannote[1278].end 21623.85846875
transcript.pyannote[1279].speaker SPEAKER_02
transcript.pyannote[1279].start 21624.80346875
transcript.pyannote[1279].end 21628.46534375
transcript.pyannote[1280].speaker SPEAKER_02
transcript.pyannote[1280].start 21628.88721875
transcript.pyannote[1280].end 21630.87846875
transcript.pyannote[1281].speaker SPEAKER_02
transcript.pyannote[1281].start 21631.30034375
transcript.pyannote[1281].end 21634.03409375
transcript.pyannote[1282].speaker SPEAKER_02
transcript.pyannote[1282].start 21634.20284375
transcript.pyannote[1282].end 21635.26596875
transcript.pyannote[1283].speaker SPEAKER_02
transcript.pyannote[1283].start 21635.90721875
transcript.pyannote[1283].end 21638.37096875
transcript.pyannote[1284].speaker SPEAKER_02
transcript.pyannote[1284].start 21638.80971875
transcript.pyannote[1284].end 21639.90659375
transcript.pyannote[1285].speaker SPEAKER_02
transcript.pyannote[1285].start 21640.12596875
transcript.pyannote[1285].end 21641.69534375
transcript.pyannote[1286].speaker SPEAKER_02
transcript.pyannote[1286].start 21642.18471875
transcript.pyannote[1286].end 21643.65284375
transcript.pyannote[1287].speaker SPEAKER_02
transcript.pyannote[1287].start 21644.00721875
transcript.pyannote[1287].end 21644.83409375
transcript.pyannote[1288].speaker SPEAKER_02
transcript.pyannote[1288].start 21645.01971875
transcript.pyannote[1288].end 21646.70721875
transcript.pyannote[1289].speaker SPEAKER_02
transcript.pyannote[1289].start 21647.38221875
transcript.pyannote[1289].end 21650.84159375
transcript.pyannote[1290].speaker SPEAKER_02
transcript.pyannote[1290].start 21651.26346875
transcript.pyannote[1290].end 21652.32659375
transcript.pyannote[1291].speaker SPEAKER_02
transcript.pyannote[1291].start 21652.54596875
transcript.pyannote[1291].end 21656.24159375
transcript.pyannote[1292].speaker SPEAKER_02
transcript.pyannote[1292].start 21658.21596875
transcript.pyannote[1292].end 21659.70096875
transcript.pyannote[1293].speaker SPEAKER_02
transcript.pyannote[1293].start 21660.52784375
transcript.pyannote[1293].end 21663.17721875
transcript.pyannote[1294].speaker SPEAKER_02
transcript.pyannote[1294].start 21663.49784375
transcript.pyannote[1294].end 21671.32784375
transcript.pyannote[1295].speaker SPEAKER_02
transcript.pyannote[1295].start 21672.08721875
transcript.pyannote[1295].end 21674.12909375
transcript.pyannote[1296].speaker SPEAKER_02
transcript.pyannote[1296].start 21675.20909375
transcript.pyannote[1296].end 21681.06471875
transcript.pyannote[1297].speaker SPEAKER_02
transcript.pyannote[1297].start 21681.14909375
transcript.pyannote[1297].end 21686.19471875
transcript.pyannote[1298].speaker SPEAKER_02
transcript.pyannote[1298].start 21686.34659375
transcript.pyannote[1298].end 21689.02971875
transcript.pyannote[1299].speaker SPEAKER_02
transcript.pyannote[1299].start 21689.36721875
transcript.pyannote[1299].end 21690.95346875
transcript.pyannote[1300].speaker SPEAKER_02
transcript.pyannote[1300].start 21691.49346875
transcript.pyannote[1300].end 21695.00346875
transcript.pyannote[1301].speaker SPEAKER_02
transcript.pyannote[1301].start 21695.88096875
transcript.pyannote[1301].end 21709.49909375
transcript.pyannote[1302].speaker SPEAKER_02
transcript.pyannote[1302].start 21709.81971875
transcript.pyannote[1302].end 21713.61659375
transcript.pyannote[1303].speaker SPEAKER_02
transcript.pyannote[1303].start 21713.93721875
transcript.pyannote[1303].end 21715.01721875
transcript.pyannote[1304].speaker SPEAKER_02
transcript.pyannote[1304].start 21715.81034375
transcript.pyannote[1304].end 21717.49784375
transcript.pyannote[1305].speaker SPEAKER_02
transcript.pyannote[1305].start 21718.56096875
transcript.pyannote[1305].end 21719.69159375
transcript.pyannote[1306].speaker SPEAKER_02
transcript.pyannote[1306].start 21720.01221875
transcript.pyannote[1306].end 21726.57659375
transcript.pyannote[1307].speaker SPEAKER_02
transcript.pyannote[1307].start 21726.88034375
transcript.pyannote[1307].end 21735.31784375
transcript.pyannote[1308].speaker SPEAKER_02
transcript.pyannote[1308].start 21737.07284375
transcript.pyannote[1308].end 21737.44409375
transcript.pyannote[1309].speaker SPEAKER_02
transcript.pyannote[1309].start 21737.81534375
transcript.pyannote[1309].end 21739.19909375
transcript.pyannote[1310].speaker SPEAKER_02
transcript.pyannote[1310].start 21739.58721875
transcript.pyannote[1310].end 21740.07659375
transcript.pyannote[1311].speaker SPEAKER_02
transcript.pyannote[1311].start 21740.49846875
transcript.pyannote[1311].end 21741.93284375
transcript.pyannote[1312].speaker SPEAKER_02
transcript.pyannote[1312].start 21742.27034375
transcript.pyannote[1312].end 21753.82971875
transcript.pyannote[1313].speaker SPEAKER_02
transcript.pyannote[1313].start 21755.39909375
transcript.pyannote[1313].end 21758.23409375
transcript.pyannote[1314].speaker SPEAKER_02
transcript.pyannote[1314].start 21758.68971875
transcript.pyannote[1314].end 21768.96659375
transcript.pyannote[1315].speaker SPEAKER_02
transcript.pyannote[1315].start 21769.64159375
transcript.pyannote[1315].end 21773.25284375
transcript.pyannote[1316].speaker SPEAKER_02
transcript.pyannote[1316].start 21773.55659375
transcript.pyannote[1316].end 21780.52596875
transcript.pyannote[1317].speaker SPEAKER_02
transcript.pyannote[1317].start 21780.89721875
transcript.pyannote[1317].end 21787.57971875
transcript.pyannote[1318].speaker SPEAKER_02
transcript.pyannote[1318].start 21787.64721875
transcript.pyannote[1318].end 21789.53721875
transcript.pyannote[1319].speaker SPEAKER_02
transcript.pyannote[1319].start 21790.41471875
transcript.pyannote[1319].end 21790.73534375
transcript.pyannote[1320].speaker SPEAKER_02
transcript.pyannote[1320].start 21791.27534375
transcript.pyannote[1320].end 21794.29596875
transcript.pyannote[1321].speaker SPEAKER_02
transcript.pyannote[1321].start 21794.36346875
transcript.pyannote[1321].end 21796.52346875
transcript.pyannote[1322].speaker SPEAKER_02
transcript.pyannote[1322].start 21799.07159375
transcript.pyannote[1322].end 21799.39221875
transcript.pyannote[1323].speaker SPEAKER_02
transcript.pyannote[1323].start 21800.23596875
transcript.pyannote[1323].end 21807.72846875
transcript.pyannote[1324].speaker SPEAKER_02
transcript.pyannote[1324].start 21808.25159375
transcript.pyannote[1324].end 21809.90534375
transcript.pyannote[1325].speaker SPEAKER_02
transcript.pyannote[1325].start 21810.20909375
transcript.pyannote[1325].end 21819.82784375
transcript.pyannote[1326].speaker SPEAKER_02
transcript.pyannote[1326].start 21820.26659375
transcript.pyannote[1326].end 21824.67096875
transcript.pyannote[1327].speaker SPEAKER_02
transcript.pyannote[1327].start 21824.70471875
transcript.pyannote[1327].end 21825.17721875
transcript.pyannote[1328].speaker SPEAKER_02
transcript.pyannote[1328].start 21825.75096875
transcript.pyannote[1328].end 21828.09659375
transcript.pyannote[1329].speaker SPEAKER_02
transcript.pyannote[1329].start 21828.29909375
transcript.pyannote[1329].end 21864.85034375
transcript.pyannote[1330].speaker SPEAKER_02
transcript.pyannote[1330].start 21865.45784375
transcript.pyannote[1330].end 21867.06096875
transcript.pyannote[1331].speaker SPEAKER_02
transcript.pyannote[1331].start 21867.46596875
transcript.pyannote[1331].end 21868.49534375
transcript.pyannote[1332].speaker SPEAKER_02
transcript.pyannote[1332].start 21868.88346875
transcript.pyannote[1332].end 21870.95909375
transcript.pyannote[1333].speaker SPEAKER_02
transcript.pyannote[1333].start 21871.17846875
transcript.pyannote[1333].end 21877.20284375
transcript.pyannote[1334].speaker SPEAKER_02
transcript.pyannote[1334].start 21878.94096875
transcript.pyannote[1334].end 21879.32909375
transcript.pyannote[1335].speaker SPEAKER_02
transcript.pyannote[1335].start 21880.13909375
transcript.pyannote[1335].end 21885.53909375
transcript.pyannote[1336].speaker SPEAKER_02
transcript.pyannote[1336].start 21885.77534375
transcript.pyannote[1336].end 21894.75284375
transcript.pyannote[1337].speaker SPEAKER_02
transcript.pyannote[1337].start 21895.36034375
transcript.pyannote[1337].end 21908.74221875
transcript.pyannote[1338].speaker SPEAKER_02
transcript.pyannote[1338].start 21909.09659375
transcript.pyannote[1338].end 21909.50159375
transcript.pyannote[1339].speaker SPEAKER_02
transcript.pyannote[1339].start 21909.82221875
transcript.pyannote[1339].end 21911.05409375
transcript.pyannote[1340].speaker SPEAKER_02
transcript.pyannote[1340].start 21911.50971875
transcript.pyannote[1340].end 21911.64471875
transcript.pyannote[1341].speaker SPEAKER_02
transcript.pyannote[1341].start 21912.04971875
transcript.pyannote[1341].end 21914.20971875
transcript.pyannote[1342].speaker SPEAKER_02
transcript.pyannote[1342].start 21914.69909375
transcript.pyannote[1342].end 21917.09534375
transcript.pyannote[1343].speaker SPEAKER_02
transcript.pyannote[1343].start 21917.43284375
transcript.pyannote[1343].end 21924.52034375
transcript.pyannote[1344].speaker SPEAKER_02
transcript.pyannote[1344].start 21924.90846875
transcript.pyannote[1344].end 21928.31721875
transcript.pyannote[1345].speaker SPEAKER_02
transcript.pyannote[1345].start 21928.97534375
transcript.pyannote[1345].end 21930.73034375
transcript.pyannote[1346].speaker SPEAKER_02
transcript.pyannote[1346].start 21931.60784375
transcript.pyannote[1346].end 21935.11784375
transcript.pyannote[1347].speaker SPEAKER_02
transcript.pyannote[1347].start 21935.77596875
transcript.pyannote[1347].end 21936.43409375
transcript.pyannote[1348].speaker SPEAKER_02
transcript.pyannote[1348].start 21936.73784375
transcript.pyannote[1348].end 21953.93346875
transcript.pyannote[1349].speaker SPEAKER_02
transcript.pyannote[1349].start 21956.26221875
transcript.pyannote[1349].end 21956.63346875
transcript.pyannote[1350].speaker SPEAKER_02
transcript.pyannote[1350].start 21957.37596875
transcript.pyannote[1350].end 21985.52346875
transcript.pyannote[1351].speaker SPEAKER_02
transcript.pyannote[1351].start 21986.13096875
transcript.pyannote[1351].end 21986.58659375
transcript.pyannote[1352].speaker SPEAKER_02
transcript.pyannote[1352].start 21986.95784375
transcript.pyannote[1352].end 21988.13909375
transcript.pyannote[1353].speaker SPEAKER_02
transcript.pyannote[1353].start 21988.62846875
transcript.pyannote[1353].end 21997.85909375
transcript.pyannote[1354].speaker SPEAKER_02
transcript.pyannote[1354].start 21998.19659375
transcript.pyannote[1354].end 21998.85471875
transcript.pyannote[1355].speaker SPEAKER_02
transcript.pyannote[1355].start 21998.95596875
transcript.pyannote[1355].end 22000.18784375
transcript.pyannote[1356].speaker SPEAKER_02
transcript.pyannote[1356].start 22000.47471875
transcript.pyannote[1356].end 22004.92971875
transcript.pyannote[1357].speaker SPEAKER_02
transcript.pyannote[1357].start 22005.01409375
transcript.pyannote[1357].end 22007.32596875
transcript.pyannote[1358].speaker SPEAKER_02
transcript.pyannote[1358].start 22007.79846875
transcript.pyannote[1358].end 22010.51534375
transcript.pyannote[1359].speaker SPEAKER_02
transcript.pyannote[1359].start 22010.58284375
transcript.pyannote[1359].end 22011.81471875
transcript.pyannote[1360].speaker SPEAKER_02
transcript.pyannote[1360].start 22012.18596875
transcript.pyannote[1360].end 22017.13034375
transcript.pyannote[1361].speaker SPEAKER_02
transcript.pyannote[1361].start 22017.45096875
transcript.pyannote[1361].end 22020.74159375
transcript.pyannote[1362].speaker SPEAKER_02
transcript.pyannote[1362].start 22020.89346875
transcript.pyannote[1362].end 22024.45409375
transcript.pyannote[1363].speaker SPEAKER_02
transcript.pyannote[1363].start 22025.53409375
transcript.pyannote[1363].end 22025.92221875
transcript.pyannote[1364].speaker SPEAKER_02
transcript.pyannote[1364].start 22026.27659375
transcript.pyannote[1364].end 22028.77409375
transcript.pyannote[1365].speaker SPEAKER_02
transcript.pyannote[1365].start 22029.34784375
transcript.pyannote[1365].end 22037.54909375
transcript.pyannote[1366].speaker SPEAKER_02
transcript.pyannote[1366].start 22038.25784375
transcript.pyannote[1366].end 22043.67471875
transcript.pyannote[1367].speaker SPEAKER_02
transcript.pyannote[1367].start 22043.99534375
transcript.pyannote[1367].end 22048.21409375
transcript.pyannote[1368].speaker SPEAKER_02
transcript.pyannote[1368].start 22048.39971875
transcript.pyannote[1368].end 22052.11221875
transcript.pyannote[1369].speaker SPEAKER_02
transcript.pyannote[1369].start 22052.36534375
transcript.pyannote[1369].end 22062.50721875
transcript.pyannote[1370].speaker SPEAKER_02
transcript.pyannote[1370].start 22062.92909375
transcript.pyannote[1370].end 22063.33409375
transcript.pyannote[1371].speaker SPEAKER_02
transcript.pyannote[1371].start 22063.43534375
transcript.pyannote[1371].end 22065.69659375
transcript.pyannote[1372].speaker SPEAKER_02
transcript.pyannote[1372].start 22066.23659375
transcript.pyannote[1372].end 22080.46221875
transcript.pyannote[1373].speaker SPEAKER_02
transcript.pyannote[1373].start 22080.54659375
transcript.pyannote[1373].end 22084.42784375
transcript.pyannote[1374].speaker SPEAKER_02
transcript.pyannote[1374].start 22084.79909375
transcript.pyannote[1374].end 22096.84784375
transcript.pyannote[1375].speaker SPEAKER_02
transcript.pyannote[1375].start 22097.01659375
transcript.pyannote[1375].end 22103.69909375
transcript.pyannote[1376].speaker SPEAKER_02
transcript.pyannote[1376].start 22104.15471875
transcript.pyannote[1376].end 22106.14596875
transcript.pyannote[1377].speaker SPEAKER_02
transcript.pyannote[1377].start 22107.52971875
transcript.pyannote[1377].end 22107.96846875
transcript.pyannote[1378].speaker SPEAKER_02
transcript.pyannote[1378].start 22108.12034375
transcript.pyannote[1378].end 22109.50409375
transcript.pyannote[1379].speaker SPEAKER_02
transcript.pyannote[1379].start 22109.67284375
transcript.pyannote[1379].end 22125.68721875
transcript.pyannote[1380].speaker SPEAKER_02
transcript.pyannote[1380].start 22126.02471875
transcript.pyannote[1380].end 22131.77909375
transcript.pyannote[1381].speaker SPEAKER_02
transcript.pyannote[1381].start 22132.06596875
transcript.pyannote[1381].end 22134.46221875
transcript.pyannote[1382].speaker SPEAKER_02
transcript.pyannote[1382].start 22135.08659375
transcript.pyannote[1382].end 22142.74784375
transcript.pyannote[1383].speaker SPEAKER_02
transcript.pyannote[1383].start 22144.11471875
transcript.pyannote[1383].end 22154.96534375
transcript.pyannote[1384].speaker SPEAKER_02
transcript.pyannote[1384].start 22155.25221875
transcript.pyannote[1384].end 22163.87534375
transcript.pyannote[1385].speaker SPEAKER_02
transcript.pyannote[1385].start 22165.02284375
transcript.pyannote[1385].end 22167.99284375
transcript.pyannote[1386].speaker SPEAKER_02
transcript.pyannote[1386].start 22168.09409375
transcript.pyannote[1386].end 22171.77284375
transcript.pyannote[1387].speaker SPEAKER_02
transcript.pyannote[1387].start 22171.89096875
transcript.pyannote[1387].end 22173.44346875
transcript.pyannote[1388].speaker SPEAKER_02
transcript.pyannote[1388].start 22173.79784375
transcript.pyannote[1388].end 22176.80159375
transcript.pyannote[1389].speaker SPEAKER_02
transcript.pyannote[1389].start 22177.24034375
transcript.pyannote[1389].end 22178.28659375
transcript.pyannote[1390].speaker SPEAKER_02
transcript.pyannote[1390].start 22178.75909375
transcript.pyannote[1390].end 22185.34034375
transcript.pyannote[1391].speaker SPEAKER_02
transcript.pyannote[1391].start 22185.54284375
transcript.pyannote[1391].end 22195.19534375
transcript.pyannote[1392].speaker SPEAKER_02
transcript.pyannote[1392].start 22196.29221875
transcript.pyannote[1392].end 22210.75409375
transcript.pyannote[1393].speaker SPEAKER_02
transcript.pyannote[1393].start 22211.17596875
transcript.pyannote[1393].end 22211.80034375
transcript.pyannote[1394].speaker SPEAKER_02
transcript.pyannote[1394].start 22211.85096875
transcript.pyannote[1394].end 22214.58471875
transcript.pyannote[1395].speaker SPEAKER_02
transcript.pyannote[1395].start 22215.14159375
transcript.pyannote[1395].end 22224.38909375
transcript.pyannote[1396].speaker SPEAKER_02
transcript.pyannote[1396].start 22224.67596875
transcript.pyannote[1396].end 22225.89096875
transcript.pyannote[1397].speaker SPEAKER_02
transcript.pyannote[1397].start 22226.22846875
transcript.pyannote[1397].end 22226.49846875
transcript.pyannote[1398].speaker SPEAKER_02
transcript.pyannote[1398].start 22226.97096875
transcript.pyannote[1398].end 22229.46846875
transcript.pyannote[1399].speaker SPEAKER_02
transcript.pyannote[1399].start 22229.78909375
transcript.pyannote[1399].end 22231.10534375
transcript.pyannote[1400].speaker SPEAKER_02
transcript.pyannote[1400].start 22231.52721875
transcript.pyannote[1400].end 22241.82096875
transcript.pyannote[1401].speaker SPEAKER_02
transcript.pyannote[1401].start 22241.97284375
transcript.pyannote[1401].end 22245.51659375
transcript.pyannote[1402].speaker SPEAKER_02
transcript.pyannote[1402].start 22246.14096875
transcript.pyannote[1402].end 22248.55409375
transcript.pyannote[1403].speaker SPEAKER_02
transcript.pyannote[1403].start 22249.60034375
transcript.pyannote[1403].end 22250.93346875
transcript.pyannote[1404].speaker SPEAKER_02
transcript.pyannote[1404].start 22251.38909375
transcript.pyannote[1404].end 22259.10096875
transcript.pyannote[1405].speaker SPEAKER_02
transcript.pyannote[1405].start 22260.29909375
transcript.pyannote[1405].end 22261.76721875
transcript.pyannote[1406].speaker SPEAKER_02
transcript.pyannote[1406].start 22261.93596875
transcript.pyannote[1406].end 22263.45471875
transcript.pyannote[1407].speaker SPEAKER_02
transcript.pyannote[1407].start 22263.72471875
transcript.pyannote[1407].end 22272.48284375
transcript.pyannote[1408].speaker SPEAKER_02
transcript.pyannote[1408].start 22272.82034375
transcript.pyannote[1408].end 22281.57846875
transcript.pyannote[1409].speaker SPEAKER_02
transcript.pyannote[1409].start 22282.01721875
transcript.pyannote[1409].end 22288.80096875
transcript.pyannote[1410].speaker SPEAKER_02
transcript.pyannote[1410].start 22288.88534375
transcript.pyannote[1410].end 22289.52659375
transcript.pyannote[1411].speaker SPEAKER_02
transcript.pyannote[1411].start 22289.96534375
transcript.pyannote[1411].end 22294.20096875
transcript.pyannote[1412].speaker SPEAKER_02
transcript.pyannote[1412].start 22294.55534375
transcript.pyannote[1412].end 22296.47909375
transcript.pyannote[1413].speaker SPEAKER_02
transcript.pyannote[1413].start 22297.12034375
transcript.pyannote[1413].end 22303.68471875
transcript.pyannote[1414].speaker SPEAKER_02
transcript.pyannote[1414].start 22304.34284375
transcript.pyannote[1414].end 22312.15596875
transcript.pyannote[1415].speaker SPEAKER_02
transcript.pyannote[1415].start 22312.29096875
transcript.pyannote[1415].end 22316.45909375
transcript.pyannote[1416].speaker SPEAKER_02
transcript.pyannote[1416].start 22317.06659375
transcript.pyannote[1416].end 22321.13346875
transcript.pyannote[1417].speaker SPEAKER_05
transcript.pyannote[1417].start 22321.13346875
transcript.pyannote[1417].end 22321.15034375
transcript.pyannote[1418].speaker SPEAKER_05
transcript.pyannote[1418].start 22326.55034375
transcript.pyannote[1418].end 22328.92971875
transcript.pyannote[1419].speaker SPEAKER_05
transcript.pyannote[1419].start 22329.63846875
transcript.pyannote[1419].end 22330.46534375
transcript.pyannote[1420].speaker SPEAKER_05
transcript.pyannote[1420].start 22330.95471875
transcript.pyannote[1420].end 22335.27471875
transcript.pyannote[1421].speaker SPEAKER_05
transcript.pyannote[1421].start 22335.67971875
transcript.pyannote[1421].end 22340.37096875
transcript.pyannote[1422].speaker SPEAKER_05
transcript.pyannote[1422].start 22340.55659375
transcript.pyannote[1422].end 22344.84284375
transcript.pyannote[1423].speaker SPEAKER_05
transcript.pyannote[1423].start 22345.46721875
transcript.pyannote[1423].end 22347.44159375
transcript.pyannote[1424].speaker SPEAKER_05
transcript.pyannote[1424].start 22347.82971875
transcript.pyannote[1424].end 22352.30159375
transcript.pyannote[1425].speaker SPEAKER_05
transcript.pyannote[1425].start 22352.94284375
transcript.pyannote[1425].end 22356.53721875
transcript.pyannote[1426].speaker SPEAKER_05
transcript.pyannote[1426].start 22356.80721875
transcript.pyannote[1426].end 22359.52409375
transcript.pyannote[1427].speaker SPEAKER_11
transcript.pyannote[1427].start 22370.79659375
transcript.pyannote[1427].end 22374.99846875
transcript.pyannote[1428].speaker SPEAKER_11
transcript.pyannote[1428].start 22375.31909375
transcript.pyannote[1428].end 22376.12909375
transcript.pyannote[1429].speaker SPEAKER_11
transcript.pyannote[1429].start 22376.65221875
transcript.pyannote[1429].end 22377.07409375
transcript.pyannote[1430].speaker SPEAKER_11
transcript.pyannote[1430].start 22377.52971875
transcript.pyannote[1430].end 22379.40284375
transcript.pyannote[1431].speaker SPEAKER_11
transcript.pyannote[1431].start 22379.70659375
transcript.pyannote[1431].end 22381.46159375
transcript.pyannote[1432].speaker SPEAKER_11
transcript.pyannote[1432].start 22381.69784375
transcript.pyannote[1432].end 22384.04346875
transcript.pyannote[1433].speaker SPEAKER_05
transcript.pyannote[1433].start 22385.66346875
transcript.pyannote[1433].end 22386.64221875
transcript.pyannote[1434].speaker SPEAKER_11
transcript.pyannote[1434].start 22395.60284375
transcript.pyannote[1434].end 22404.63096875
transcript.pyannote[1435].speaker SPEAKER_11
transcript.pyannote[1435].start 22405.01909375
transcript.pyannote[1435].end 22411.11096875
transcript.pyannote[1436].speaker SPEAKER_11
transcript.pyannote[1436].start 22411.44846875
transcript.pyannote[1436].end 22422.46784375
transcript.pyannote[1437].speaker SPEAKER_03
transcript.pyannote[1437].start 22421.53971875
transcript.pyannote[1437].end 22421.91096875
transcript.pyannote[1438].speaker SPEAKER_11
transcript.pyannote[1438].start 22422.51846875
transcript.pyannote[1438].end 22429.40346875
transcript.pyannote[1439].speaker SPEAKER_03
transcript.pyannote[1439].start 22429.69034375
transcript.pyannote[1439].end 22430.12909375
transcript.pyannote[1440].speaker SPEAKER_11
transcript.pyannote[1440].start 22430.19659375
transcript.pyannote[1440].end 22439.17409375
transcript.pyannote[1441].speaker SPEAKER_11
transcript.pyannote[1441].start 22439.98409375
transcript.pyannote[1441].end 22447.72971875
transcript.pyannote[1442].speaker SPEAKER_03
transcript.pyannote[1442].start 22447.81409375
transcript.pyannote[1442].end 22448.18534375
transcript.pyannote[1443].speaker SPEAKER_11
transcript.pyannote[1443].start 22448.32034375
transcript.pyannote[1443].end 22456.03221875
transcript.pyannote[1444].speaker SPEAKER_03
transcript.pyannote[1444].start 22455.98159375
transcript.pyannote[1444].end 22456.80846875
transcript.pyannote[1445].speaker SPEAKER_11
transcript.pyannote[1445].start 22456.80846875
transcript.pyannote[1445].end 22460.45346875
transcript.pyannote[1446].speaker SPEAKER_03
transcript.pyannote[1446].start 22456.82534375
transcript.pyannote[1446].end 22457.33159375
transcript.pyannote[1447].speaker SPEAKER_11
transcript.pyannote[1447].start 22460.67284375
transcript.pyannote[1447].end 22462.64721875
transcript.pyannote[1448].speaker SPEAKER_02
transcript.pyannote[1448].start 22462.86659375
transcript.pyannote[1448].end 22462.90034375
transcript.pyannote[1449].speaker SPEAKER_11
transcript.pyannote[1449].start 22462.90034375
transcript.pyannote[1449].end 22466.30909375
transcript.pyannote[1450].speaker SPEAKER_11
transcript.pyannote[1450].start 22466.61284375
transcript.pyannote[1450].end 22468.94159375
transcript.pyannote[1451].speaker SPEAKER_11
transcript.pyannote[1451].start 22469.26221875
transcript.pyannote[1451].end 22470.79784375
transcript.pyannote[1452].speaker SPEAKER_02
transcript.pyannote[1452].start 22471.03409375
transcript.pyannote[1452].end 22472.29971875
transcript.pyannote[1453].speaker SPEAKER_11
transcript.pyannote[1453].start 22471.47284375
transcript.pyannote[1453].end 22473.68346875
transcript.pyannote[1454].speaker SPEAKER_02
transcript.pyannote[1454].start 22473.93659375
transcript.pyannote[1454].end 22474.12221875
transcript.pyannote[1455].speaker SPEAKER_02
transcript.pyannote[1455].start 22474.15596875
transcript.pyannote[1455].end 22474.27409375
transcript.pyannote[1456].speaker SPEAKER_11
transcript.pyannote[1456].start 22474.27409375
transcript.pyannote[1456].end 22474.56096875
transcript.pyannote[1457].speaker SPEAKER_02
transcript.pyannote[1457].start 22474.56096875
transcript.pyannote[1457].end 22475.32034375
transcript.pyannote[1458].speaker SPEAKER_11
transcript.pyannote[1458].start 22475.32034375
transcript.pyannote[1458].end 22486.03596875
transcript.pyannote[1459].speaker SPEAKER_11
transcript.pyannote[1459].start 22486.06971875
transcript.pyannote[1459].end 22486.69409375
transcript.pyannote[1460].speaker SPEAKER_11
transcript.pyannote[1460].start 22486.81221875
transcript.pyannote[1460].end 22487.77409375
transcript.pyannote[1461].speaker SPEAKER_11
transcript.pyannote[1461].start 22487.94284375
transcript.pyannote[1461].end 22489.81596875
transcript.pyannote[1462].speaker SPEAKER_11
transcript.pyannote[1462].start 22489.93409375
transcript.pyannote[1462].end 22491.99284375
transcript.pyannote[1463].speaker SPEAKER_11
transcript.pyannote[1463].start 22492.78596875
transcript.pyannote[1463].end 22493.39346875
transcript.pyannote[1464].speaker SPEAKER_11
transcript.pyannote[1464].start 22493.71409375
transcript.pyannote[1464].end 22494.72659375
transcript.pyannote[1465].speaker SPEAKER_11
transcript.pyannote[1465].start 22495.01346875
transcript.pyannote[1465].end 22496.22846875
transcript.pyannote[1466].speaker SPEAKER_11
transcript.pyannote[1466].start 22496.58284375
transcript.pyannote[1466].end 22499.02971875
transcript.pyannote[1467].speaker SPEAKER_11
transcript.pyannote[1467].start 22500.75096875
transcript.pyannote[1467].end 22501.72971875
transcript.pyannote[1468].speaker SPEAKER_11
transcript.pyannote[1468].start 22502.11784375
transcript.pyannote[1468].end 22502.57346875
transcript.pyannote[1469].speaker SPEAKER_11
transcript.pyannote[1469].start 22503.11346875
transcript.pyannote[1469].end 22504.81784375
transcript.pyannote[1470].speaker SPEAKER_11
transcript.pyannote[1470].start 22504.96971875
transcript.pyannote[1470].end 22507.50096875
transcript.pyannote[1471].speaker SPEAKER_02
transcript.pyannote[1471].start 22508.29409375
transcript.pyannote[1471].end 22508.59784375
transcript.pyannote[1472].speaker SPEAKER_02
transcript.pyannote[1472].start 22508.63159375
transcript.pyannote[1472].end 22508.64846875
transcript.pyannote[1473].speaker SPEAKER_11
transcript.pyannote[1473].start 22508.64846875
transcript.pyannote[1473].end 22513.72784375
transcript.pyannote[1474].speaker SPEAKER_02
transcript.pyannote[1474].start 22514.47034375
transcript.pyannote[1474].end 22514.63909375
transcript.pyannote[1475].speaker SPEAKER_11
transcript.pyannote[1475].start 22514.99346875
transcript.pyannote[1475].end 22519.61721875
transcript.pyannote[1476].speaker SPEAKER_02
transcript.pyannote[1476].start 22519.83659375
transcript.pyannote[1476].end 22520.15721875
transcript.pyannote[1477].speaker SPEAKER_11
transcript.pyannote[1477].start 22520.37659375
transcript.pyannote[1477].end 22531.10909375
transcript.pyannote[1478].speaker SPEAKER_11
transcript.pyannote[1478].start 22531.36221875
transcript.pyannote[1478].end 22534.55159375
transcript.pyannote[1479].speaker SPEAKER_02
transcript.pyannote[1479].start 22535.61471875
transcript.pyannote[1479].end 22536.54284375
transcript.pyannote[1480].speaker SPEAKER_02
transcript.pyannote[1480].start 22537.08284375
transcript.pyannote[1480].end 22537.26846875
transcript.pyannote[1481].speaker SPEAKER_02
transcript.pyannote[1481].start 22537.38659375
transcript.pyannote[1481].end 22537.43721875
transcript.pyannote[1482].speaker SPEAKER_11
transcript.pyannote[1482].start 22537.43721875
transcript.pyannote[1482].end 22537.53846875
transcript.pyannote[1483].speaker SPEAKER_02
transcript.pyannote[1483].start 22537.53846875
transcript.pyannote[1483].end 22537.57221875
transcript.pyannote[1484].speaker SPEAKER_11
transcript.pyannote[1484].start 22538.14596875
transcript.pyannote[1484].end 22540.08659375
transcript.pyannote[1485].speaker SPEAKER_11
transcript.pyannote[1485].start 22540.18784375
transcript.pyannote[1485].end 22545.04784375
transcript.pyannote[1486].speaker SPEAKER_02
transcript.pyannote[1486].start 22540.40721875
transcript.pyannote[1486].end 22540.57596875
transcript.pyannote[1487].speaker SPEAKER_11
transcript.pyannote[1487].start 22545.38534375
transcript.pyannote[1487].end 22547.47784375
transcript.pyannote[1488].speaker SPEAKER_11
transcript.pyannote[1488].start 22547.78159375
transcript.pyannote[1488].end 22550.32971875
transcript.pyannote[1489].speaker SPEAKER_11
transcript.pyannote[1489].start 22550.61659375
transcript.pyannote[1489].end 22551.22409375
transcript.pyannote[1490].speaker SPEAKER_11
transcript.pyannote[1490].start 22551.76409375
transcript.pyannote[1490].end 22552.21971875
transcript.pyannote[1491].speaker SPEAKER_11
transcript.pyannote[1491].start 22552.74284375
transcript.pyannote[1491].end 22554.86909375
transcript.pyannote[1492].speaker SPEAKER_02
transcript.pyannote[1492].start 22554.97034375
transcript.pyannote[1492].end 22555.03784375
transcript.pyannote[1493].speaker SPEAKER_11
transcript.pyannote[1493].start 22555.57784375
transcript.pyannote[1493].end 22558.39596875
transcript.pyannote[1494].speaker SPEAKER_11
transcript.pyannote[1494].start 22559.37471875
transcript.pyannote[1494].end 22560.26909375
transcript.pyannote[1495].speaker SPEAKER_11
transcript.pyannote[1495].start 22560.50534375
transcript.pyannote[1495].end 22571.79471875
transcript.pyannote[1496].speaker SPEAKER_11
transcript.pyannote[1496].start 22571.98034375
transcript.pyannote[1496].end 22574.98409375
transcript.pyannote[1497].speaker SPEAKER_02
transcript.pyannote[1497].start 22575.86159375
transcript.pyannote[1497].end 22576.33409375
transcript.pyannote[1498].speaker SPEAKER_11
transcript.pyannote[1498].start 22576.33409375
transcript.pyannote[1498].end 22576.50284375
transcript.pyannote[1499].speaker SPEAKER_11
transcript.pyannote[1499].start 22576.62096875
transcript.pyannote[1499].end 22579.08471875
transcript.pyannote[1500].speaker SPEAKER_02
transcript.pyannote[1500].start 22580.04659375
transcript.pyannote[1500].end 22580.92409375
transcript.pyannote[1501].speaker SPEAKER_02
transcript.pyannote[1501].start 22581.04221875
transcript.pyannote[1501].end 22582.93221875
transcript.pyannote[1502].speaker SPEAKER_02
transcript.pyannote[1502].start 22583.08409375
transcript.pyannote[1502].end 22585.00784375
transcript.pyannote[1503].speaker SPEAKER_11
transcript.pyannote[1503].start 22583.25284375
transcript.pyannote[1503].end 22584.09659375
transcript.pyannote[1504].speaker SPEAKER_11
transcript.pyannote[1504].start 22584.13034375
transcript.pyannote[1504].end 22584.90659375
transcript.pyannote[1505].speaker SPEAKER_11
transcript.pyannote[1505].start 22585.00784375
transcript.pyannote[1505].end 22585.02471875
transcript.pyannote[1506].speaker SPEAKER_02
transcript.pyannote[1506].start 22585.02471875
transcript.pyannote[1506].end 22585.04159375
transcript.pyannote[1507].speaker SPEAKER_11
transcript.pyannote[1507].start 22585.04159375
transcript.pyannote[1507].end 22585.36221875
transcript.pyannote[1508].speaker SPEAKER_11
transcript.pyannote[1508].start 22585.46346875
transcript.pyannote[1508].end 22597.56284375
transcript.pyannote[1509].speaker SPEAKER_11
transcript.pyannote[1509].start 22597.59659375
transcript.pyannote[1509].end 22598.55846875
transcript.pyannote[1510].speaker SPEAKER_02
transcript.pyannote[1510].start 22598.96346875
transcript.pyannote[1510].end 22599.14909375
transcript.pyannote[1511].speaker SPEAKER_11
transcript.pyannote[1511].start 22599.52034375
transcript.pyannote[1511].end 22601.47784375
transcript.pyannote[1512].speaker SPEAKER_02
transcript.pyannote[1512].start 22602.38909375
transcript.pyannote[1512].end 22602.70971875
transcript.pyannote[1513].speaker SPEAKER_11
transcript.pyannote[1513].start 22602.70971875
transcript.pyannote[1513].end 22602.72659375
transcript.pyannote[1514].speaker SPEAKER_11
transcript.pyannote[1514].start 22602.97971875
transcript.pyannote[1514].end 22604.59971875
transcript.pyannote[1515].speaker SPEAKER_11
transcript.pyannote[1515].start 22604.88659375
transcript.pyannote[1515].end 22607.99159375
transcript.pyannote[1516].speaker SPEAKER_11
transcript.pyannote[1516].start 22608.31221875
transcript.pyannote[1516].end 22612.15971875
transcript.pyannote[1517].speaker SPEAKER_02
transcript.pyannote[1517].start 22613.50971875
transcript.pyannote[1517].end 22614.01596875
transcript.pyannote[1518].speaker SPEAKER_11
transcript.pyannote[1518].start 22614.01596875
transcript.pyannote[1518].end 22614.53909375
transcript.pyannote[1519].speaker SPEAKER_11
transcript.pyannote[1519].start 22614.72471875
transcript.pyannote[1519].end 22624.91721875
transcript.pyannote[1520].speaker SPEAKER_03
transcript.pyannote[1520].start 22625.00159375
transcript.pyannote[1520].end 22625.60909375
transcript.pyannote[1521].speaker SPEAKER_11
transcript.pyannote[1521].start 22625.40659375
transcript.pyannote[1521].end 22632.32534375
transcript.pyannote[1522].speaker SPEAKER_11
transcript.pyannote[1522].start 22632.64596875
transcript.pyannote[1522].end 22634.08034375
transcript.pyannote[1523].speaker SPEAKER_11
transcript.pyannote[1523].start 22634.38409375
transcript.pyannote[1523].end 22635.71721875
transcript.pyannote[1524].speaker SPEAKER_11
transcript.pyannote[1524].start 22636.20659375
transcript.pyannote[1524].end 22637.43846875
transcript.pyannote[1525].speaker SPEAKER_11
transcript.pyannote[1525].start 22637.96159375
transcript.pyannote[1525].end 22638.90659375
transcript.pyannote[1526].speaker SPEAKER_11
transcript.pyannote[1526].start 22641.79221875
transcript.pyannote[1526].end 22642.41659375
transcript.pyannote[1527].speaker SPEAKER_11
transcript.pyannote[1527].start 22642.58534375
transcript.pyannote[1527].end 22648.40721875
transcript.pyannote[1528].speaker SPEAKER_02
transcript.pyannote[1528].start 22644.49221875
transcript.pyannote[1528].end 22646.31471875
transcript.pyannote[1529].speaker SPEAKER_11
transcript.pyannote[1529].start 22648.81221875
transcript.pyannote[1529].end 22651.78221875
transcript.pyannote[1530].speaker SPEAKER_11
transcript.pyannote[1530].start 22652.47409375
transcript.pyannote[1530].end 22658.49846875
transcript.pyannote[1531].speaker SPEAKER_11
transcript.pyannote[1531].start 22658.90346875
transcript.pyannote[1531].end 22660.40534375
transcript.pyannote[1532].speaker SPEAKER_11
transcript.pyannote[1532].start 22660.42221875
transcript.pyannote[1532].end 22660.43909375
transcript.pyannote[1533].speaker SPEAKER_11
transcript.pyannote[1533].start 22660.47284375
transcript.pyannote[1533].end 22661.70471875
transcript.pyannote[1534].speaker SPEAKER_02
transcript.pyannote[1534].start 22662.02534375
transcript.pyannote[1534].end 22662.04221875
transcript.pyannote[1535].speaker SPEAKER_11
transcript.pyannote[1535].start 22662.04221875
transcript.pyannote[1535].end 22662.05909375
transcript.pyannote[1536].speaker SPEAKER_02
transcript.pyannote[1536].start 22662.05909375
transcript.pyannote[1536].end 22662.29534375
transcript.pyannote[1537].speaker SPEAKER_11
transcript.pyannote[1537].start 22662.29534375
transcript.pyannote[1537].end 22662.31221875
transcript.pyannote[1538].speaker SPEAKER_11
transcript.pyannote[1538].start 22662.63284375
transcript.pyannote[1538].end 22665.02909375
transcript.pyannote[1539].speaker SPEAKER_11
transcript.pyannote[1539].start 22665.41721875
transcript.pyannote[1539].end 22668.20159375
transcript.pyannote[1540].speaker SPEAKER_11
transcript.pyannote[1540].start 22668.53909375
transcript.pyannote[1540].end 22669.95659375
transcript.pyannote[1541].speaker SPEAKER_11
transcript.pyannote[1541].start 22670.41221875
transcript.pyannote[1541].end 22671.07034375
transcript.pyannote[1542].speaker SPEAKER_11
transcript.pyannote[1542].start 22671.30659375
transcript.pyannote[1542].end 22673.55096875
transcript.pyannote[1543].speaker SPEAKER_02
transcript.pyannote[1543].start 22675.33971875
transcript.pyannote[1543].end 22682.10659375
transcript.pyannote[1544].speaker SPEAKER_11
transcript.pyannote[1544].start 22675.81221875
transcript.pyannote[1544].end 22677.71909375
transcript.pyannote[1545].speaker SPEAKER_11
transcript.pyannote[1545].start 22680.03096875
transcript.pyannote[1545].end 22681.27971875
transcript.pyannote[1546].speaker SPEAKER_02
transcript.pyannote[1546].start 22682.44409375
transcript.pyannote[1546].end 22683.20346875
transcript.pyannote[1547].speaker SPEAKER_02
transcript.pyannote[1547].start 22684.73909375
transcript.pyannote[1547].end 22685.43096875
transcript.pyannote[1548].speaker SPEAKER_02
transcript.pyannote[1548].start 22685.95409375
transcript.pyannote[1548].end 22689.97034375
transcript.pyannote[1549].speaker SPEAKER_11
transcript.pyannote[1549].start 22689.97034375
transcript.pyannote[1549].end 22695.72471875
transcript.pyannote[1550].speaker SPEAKER_03
transcript.pyannote[1550].start 22694.15534375
transcript.pyannote[1550].end 22694.86409375
transcript.pyannote[1551].speaker SPEAKER_03
transcript.pyannote[1551].start 22695.79221875
transcript.pyannote[1551].end 22696.16346875
transcript.pyannote[1552].speaker SPEAKER_11
transcript.pyannote[1552].start 22696.26471875
transcript.pyannote[1552].end 22701.34409375
transcript.pyannote[1553].speaker SPEAKER_11
transcript.pyannote[1553].start 22701.39471875
transcript.pyannote[1553].end 22702.13721875
transcript.pyannote[1554].speaker SPEAKER_11
transcript.pyannote[1554].start 22702.39034375
transcript.pyannote[1554].end 22707.55409375
transcript.pyannote[1555].speaker SPEAKER_11
transcript.pyannote[1555].start 22708.07721875
transcript.pyannote[1555].end 22717.24034375
transcript.pyannote[1556].speaker SPEAKER_03
transcript.pyannote[1556].start 22710.42284375
transcript.pyannote[1556].end 22710.79409375
transcript.pyannote[1557].speaker SPEAKER_03
transcript.pyannote[1557].start 22710.92909375
transcript.pyannote[1557].end 22710.99659375
transcript.pyannote[1558].speaker SPEAKER_03
transcript.pyannote[1558].start 22711.04721875
transcript.pyannote[1558].end 22711.06409375
transcript.pyannote[1559].speaker SPEAKER_11
transcript.pyannote[1559].start 22718.16846875
transcript.pyannote[1559].end 22729.17096875
transcript.pyannote[1560].speaker SPEAKER_03
transcript.pyannote[1560].start 22729.55909375
transcript.pyannote[1560].end 22729.89659375
transcript.pyannote[1561].speaker SPEAKER_11
transcript.pyannote[1561].start 22730.13284375
transcript.pyannote[1561].end 22739.73471875
transcript.pyannote[1562].speaker SPEAKER_02
transcript.pyannote[1562].start 22740.86534375
transcript.pyannote[1562].end 22740.91596875
transcript.pyannote[1563].speaker SPEAKER_11
transcript.pyannote[1563].start 22740.91596875
transcript.pyannote[1563].end 22742.97471875
transcript.pyannote[1564].speaker SPEAKER_11
transcript.pyannote[1564].start 22743.59909375
transcript.pyannote[1564].end 22744.02096875
transcript.pyannote[1565].speaker SPEAKER_11
transcript.pyannote[1565].start 22744.37534375
transcript.pyannote[1565].end 22757.80784375
transcript.pyannote[1566].speaker SPEAKER_11
transcript.pyannote[1566].start 22758.14534375
transcript.pyannote[1566].end 22760.22096875
transcript.pyannote[1567].speaker SPEAKER_02
transcript.pyannote[1567].start 22759.81596875
transcript.pyannote[1567].end 22765.94159375
transcript.pyannote[1568].speaker SPEAKER_02
transcript.pyannote[1568].start 22766.26221875
transcript.pyannote[1568].end 22769.16471875
transcript.pyannote[1569].speaker SPEAKER_02
transcript.pyannote[1569].start 22769.58659375
transcript.pyannote[1569].end 22774.26096875
transcript.pyannote[1570].speaker SPEAKER_02
transcript.pyannote[1570].start 22774.54784375
transcript.pyannote[1570].end 22782.96846875
transcript.pyannote[1571].speaker SPEAKER_11
transcript.pyannote[1571].start 22782.96846875
transcript.pyannote[1571].end 22784.53784375
transcript.pyannote[1572].speaker SPEAKER_11
transcript.pyannote[1572].start 22784.77409375
transcript.pyannote[1572].end 22790.22471875
transcript.pyannote[1573].speaker SPEAKER_02
transcript.pyannote[1573].start 22787.86221875
transcript.pyannote[1573].end 22788.26721875
transcript.pyannote[1574].speaker SPEAKER_11
transcript.pyannote[1574].start 22790.46096875
transcript.pyannote[1574].end 22790.61284375
transcript.pyannote[1575].speaker SPEAKER_02
transcript.pyannote[1575].start 22790.61284375
transcript.pyannote[1575].end 22790.73096875
transcript.pyannote[1576].speaker SPEAKER_11
transcript.pyannote[1576].start 22791.05159375
transcript.pyannote[1576].end 22795.47284375
transcript.pyannote[1577].speaker SPEAKER_11
transcript.pyannote[1577].start 22795.70909375
transcript.pyannote[1577].end 22796.06346875
transcript.pyannote[1578].speaker SPEAKER_11
transcript.pyannote[1578].start 22796.45159375
transcript.pyannote[1578].end 22798.47659375
transcript.pyannote[1579].speaker SPEAKER_02
transcript.pyannote[1579].start 22799.35409375
transcript.pyannote[1579].end 22800.38346875
transcript.pyannote[1580].speaker SPEAKER_02
transcript.pyannote[1580].start 22801.04159375
transcript.pyannote[1580].end 22805.19284375
transcript.pyannote[1581].speaker SPEAKER_02
transcript.pyannote[1581].start 22805.73284375
transcript.pyannote[1581].end 22807.90971875
transcript.pyannote[1582].speaker SPEAKER_02
transcript.pyannote[1582].start 22808.51721875
transcript.pyannote[1582].end 22820.97096875
transcript.pyannote[1583].speaker SPEAKER_11
transcript.pyannote[1583].start 22808.55096875
transcript.pyannote[1583].end 22809.41159375
transcript.pyannote[1584].speaker SPEAKER_11
transcript.pyannote[1584].start 22815.19971875
transcript.pyannote[1584].end 22815.97596875
transcript.pyannote[1585].speaker SPEAKER_11
transcript.pyannote[1585].start 22818.54096875
transcript.pyannote[1585].end 22822.05096875
transcript.pyannote[1586].speaker SPEAKER_11
transcript.pyannote[1586].start 22822.94534375
transcript.pyannote[1586].end 22828.53096875
transcript.pyannote[1587].speaker SPEAKER_02
transcript.pyannote[1587].start 22828.85159375
transcript.pyannote[1587].end 22830.30284375
transcript.pyannote[1588].speaker SPEAKER_11
transcript.pyannote[1588].start 22830.30284375
transcript.pyannote[1588].end 22835.38221875
transcript.pyannote[1589].speaker SPEAKER_02
transcript.pyannote[1589].start 22830.31971875
transcript.pyannote[1589].end 22830.94409375
transcript.pyannote[1590].speaker SPEAKER_02
transcript.pyannote[1590].start 22832.41221875
transcript.pyannote[1590].end 22832.49659375
transcript.pyannote[1591].speaker SPEAKER_11
transcript.pyannote[1591].start 22835.66909375
transcript.pyannote[1591].end 22859.85096875
transcript.pyannote[1592].speaker SPEAKER_02
transcript.pyannote[1592].start 22858.77096875
transcript.pyannote[1592].end 22859.20971875
transcript.pyannote[1593].speaker SPEAKER_02
transcript.pyannote[1593].start 22861.43721875
transcript.pyannote[1593].end 22866.46596875
transcript.pyannote[1594].speaker SPEAKER_02
transcript.pyannote[1594].start 22866.75284375
transcript.pyannote[1594].end 22868.96346875
transcript.pyannote[1595].speaker SPEAKER_11
transcript.pyannote[1595].start 22868.96346875
transcript.pyannote[1595].end 22876.10159375
transcript.pyannote[1596].speaker SPEAKER_11
transcript.pyannote[1596].start 22876.15221875
transcript.pyannote[1596].end 22890.86721875
transcript.pyannote[1597].speaker SPEAKER_02
transcript.pyannote[1597].start 22891.06971875
transcript.pyannote[1597].end 22891.35659375
transcript.pyannote[1598].speaker SPEAKER_11
transcript.pyannote[1598].start 22891.40721875
transcript.pyannote[1598].end 22892.38596875
transcript.pyannote[1599].speaker SPEAKER_11
transcript.pyannote[1599].start 22892.57159375
transcript.pyannote[1599].end 22899.08534375
transcript.pyannote[1600].speaker SPEAKER_11
transcript.pyannote[1600].start 22899.16971875
transcript.pyannote[1600].end 22901.85284375
transcript.pyannote[1601].speaker SPEAKER_11
transcript.pyannote[1601].start 22902.67971875
transcript.pyannote[1601].end 22905.09284375
transcript.pyannote[1602].speaker SPEAKER_11
transcript.pyannote[1602].start 22905.49784375
transcript.pyannote[1602].end 22906.99971875
transcript.pyannote[1603].speaker SPEAKER_02
transcript.pyannote[1603].start 22908.13034375
transcript.pyannote[1603].end 22911.33659375
transcript.pyannote[1604].speaker SPEAKER_02
transcript.pyannote[1604].start 22911.74159375
transcript.pyannote[1604].end 22913.96909375
transcript.pyannote[1605].speaker SPEAKER_11
transcript.pyannote[1605].start 22913.96909375
transcript.pyannote[1605].end 22918.08659375
transcript.pyannote[1606].speaker SPEAKER_11
transcript.pyannote[1606].start 22918.25534375
transcript.pyannote[1606].end 22919.79096875
transcript.pyannote[1607].speaker SPEAKER_02
transcript.pyannote[1607].start 22918.35659375
transcript.pyannote[1607].end 22918.47471875
transcript.pyannote[1608].speaker SPEAKER_11
transcript.pyannote[1608].start 22920.01034375
transcript.pyannote[1608].end 22920.02721875
transcript.pyannote[1609].speaker SPEAKER_11
transcript.pyannote[1609].start 22920.04409375
transcript.pyannote[1609].end 22920.93846875
transcript.pyannote[1610].speaker SPEAKER_11
transcript.pyannote[1610].start 22921.10721875
transcript.pyannote[1610].end 22922.82846875
transcript.pyannote[1611].speaker SPEAKER_11
transcript.pyannote[1611].start 22923.43596875
transcript.pyannote[1611].end 22925.39346875
transcript.pyannote[1612].speaker SPEAKER_11
transcript.pyannote[1612].start 22926.42284375
transcript.pyannote[1612].end 22932.43034375
transcript.pyannote[1613].speaker SPEAKER_11
transcript.pyannote[1613].start 22932.80159375
transcript.pyannote[1613].end 22937.22284375
transcript.pyannote[1614].speaker SPEAKER_11
transcript.pyannote[1614].start 22937.37471875
transcript.pyannote[1614].end 22941.34034375
transcript.pyannote[1615].speaker SPEAKER_11
transcript.pyannote[1615].start 22941.69471875
transcript.pyannote[1615].end 22945.28909375
transcript.pyannote[1616].speaker SPEAKER_11
transcript.pyannote[1616].start 22945.89659375
transcript.pyannote[1616].end 22951.17846875
transcript.pyannote[1617].speaker SPEAKER_03
transcript.pyannote[1617].start 22946.03159375
transcript.pyannote[1617].end 22946.04846875
transcript.pyannote[1618].speaker SPEAKER_02
transcript.pyannote[1618].start 22946.04846875
transcript.pyannote[1618].end 22946.23409375
transcript.pyannote[1619].speaker SPEAKER_02
transcript.pyannote[1619].start 22951.53284375
transcript.pyannote[1619].end 22955.97096875
transcript.pyannote[1620].speaker SPEAKER_11
transcript.pyannote[1620].start 22954.43534375
transcript.pyannote[1620].end 22958.77221875
transcript.pyannote[1621].speaker SPEAKER_11
transcript.pyannote[1621].start 22959.09284375
transcript.pyannote[1621].end 22966.95659375
transcript.pyannote[1622].speaker SPEAKER_02
transcript.pyannote[1622].start 22959.36284375
transcript.pyannote[1622].end 22960.10534375
transcript.pyannote[1623].speaker SPEAKER_02
transcript.pyannote[1623].start 22960.37534375
transcript.pyannote[1623].end 22961.06721875
transcript.pyannote[1624].speaker SPEAKER_00
transcript.pyannote[1624].start 22962.45096875
transcript.pyannote[1624].end 22962.46784375
transcript.pyannote[1625].speaker SPEAKER_02
transcript.pyannote[1625].start 22962.46784375
transcript.pyannote[1625].end 22962.97409375
transcript.pyannote[1626].speaker SPEAKER_11
transcript.pyannote[1626].start 22967.32784375
transcript.pyannote[1626].end 22982.05971875
transcript.pyannote[1627].speaker SPEAKER_03
transcript.pyannote[1627].start 22982.14409375
transcript.pyannote[1627].end 22982.56596875
transcript.pyannote[1628].speaker SPEAKER_11
transcript.pyannote[1628].start 22982.56596875
transcript.pyannote[1628].end 22990.90221875
transcript.pyannote[1629].speaker SPEAKER_11
transcript.pyannote[1629].start 22990.95284375
transcript.pyannote[1629].end 22992.84284375
transcript.pyannote[1630].speaker SPEAKER_11
transcript.pyannote[1630].start 22993.12971875
transcript.pyannote[1630].end 22995.47534375
transcript.pyannote[1631].speaker SPEAKER_11
transcript.pyannote[1631].start 22995.82971875
transcript.pyannote[1631].end 22997.75346875
transcript.pyannote[1632].speaker SPEAKER_11
transcript.pyannote[1632].start 22998.25971875
transcript.pyannote[1632].end 23001.63471875
transcript.pyannote[1633].speaker SPEAKER_11
transcript.pyannote[1633].start 23001.78659375
transcript.pyannote[1633].end 23004.41909375
transcript.pyannote[1634].speaker SPEAKER_11
transcript.pyannote[1634].start 23005.07721875
transcript.pyannote[1634].end 23025.96846875
transcript.pyannote[1635].speaker SPEAKER_02
transcript.pyannote[1635].start 23026.71096875
transcript.pyannote[1635].end 23029.17471875
transcript.pyannote[1636].speaker SPEAKER_11
transcript.pyannote[1636].start 23029.37721875
transcript.pyannote[1636].end 23051.73659375
transcript.pyannote[1637].speaker SPEAKER_11
transcript.pyannote[1637].start 23052.31034375
transcript.pyannote[1637].end 23056.36034375
transcript.pyannote[1638].speaker SPEAKER_11
transcript.pyannote[1638].start 23056.69784375
transcript.pyannote[1638].end 23060.83221875
transcript.pyannote[1639].speaker SPEAKER_11
transcript.pyannote[1639].start 23061.38909375
transcript.pyannote[1639].end 23062.62096875
transcript.pyannote[1640].speaker SPEAKER_11
transcript.pyannote[1640].start 23063.07659375
transcript.pyannote[1640].end 23066.77221875
transcript.pyannote[1641].speaker SPEAKER_11
transcript.pyannote[1641].start 23067.12659375
transcript.pyannote[1641].end 23072.03721875
transcript.pyannote[1642].speaker SPEAKER_11
transcript.pyannote[1642].start 23072.39159375
transcript.pyannote[1642].end 23077.38659375
transcript.pyannote[1643].speaker SPEAKER_02
transcript.pyannote[1643].start 23078.06159375
transcript.pyannote[1643].end 23078.97284375
transcript.pyannote[1644].speaker SPEAKER_11
transcript.pyannote[1644].start 23078.97284375
transcript.pyannote[1644].end 23079.02346875
transcript.pyannote[1645].speaker SPEAKER_02
transcript.pyannote[1645].start 23079.02346875
transcript.pyannote[1645].end 23079.42846875
transcript.pyannote[1646].speaker SPEAKER_11
transcript.pyannote[1646].start 23079.42846875
transcript.pyannote[1646].end 23082.02721875
transcript.pyannote[1647].speaker SPEAKER_02
transcript.pyannote[1647].start 23079.47909375
transcript.pyannote[1647].end 23080.59284375
transcript.pyannote[1648].speaker SPEAKER_11
transcript.pyannote[1648].start 23082.36471875
transcript.pyannote[1648].end 23085.03096875
transcript.pyannote[1649].speaker SPEAKER_11
transcript.pyannote[1649].start 23085.14909375
transcript.pyannote[1649].end 23090.16096875
transcript.pyannote[1650].speaker SPEAKER_11
transcript.pyannote[1650].start 23090.36346875
transcript.pyannote[1650].end 23097.80534375
transcript.pyannote[1651].speaker SPEAKER_11
transcript.pyannote[1651].start 23098.53096875
transcript.pyannote[1651].end 23107.35659375
transcript.pyannote[1652].speaker SPEAKER_11
transcript.pyannote[1652].start 23107.99784375
transcript.pyannote[1652].end 23110.02284375
transcript.pyannote[1653].speaker SPEAKER_11
transcript.pyannote[1653].start 23110.44471875
transcript.pyannote[1653].end 23121.83534375
transcript.pyannote[1654].speaker SPEAKER_10
transcript.pyannote[1654].start 23122.15596875
transcript.pyannote[1654].end 23122.20659375
transcript.pyannote[1655].speaker SPEAKER_11
transcript.pyannote[1655].start 23122.20659375
transcript.pyannote[1655].end 23127.53909375
transcript.pyannote[1656].speaker SPEAKER_11
transcript.pyannote[1656].start 23127.62346875
transcript.pyannote[1656].end 23140.21221875
transcript.pyannote[1657].speaker SPEAKER_02
transcript.pyannote[1657].start 23140.92096875
transcript.pyannote[1657].end 23142.52409375
transcript.pyannote[1658].speaker SPEAKER_11
transcript.pyannote[1658].start 23142.52409375
transcript.pyannote[1658].end 23145.98346875
transcript.pyannote[1659].speaker SPEAKER_02
transcript.pyannote[1659].start 23142.60846875
transcript.pyannote[1659].end 23144.04284375
transcript.pyannote[1660].speaker SPEAKER_11
transcript.pyannote[1660].start 23146.13534375
transcript.pyannote[1660].end 23149.51034375
transcript.pyannote[1661].speaker SPEAKER_11
transcript.pyannote[1661].start 23149.83096875
transcript.pyannote[1661].end 23153.54346875
transcript.pyannote[1662].speaker SPEAKER_11
transcript.pyannote[1662].start 23154.03284375
transcript.pyannote[1662].end 23166.04784375
transcript.pyannote[1663].speaker SPEAKER_11
transcript.pyannote[1663].start 23167.88721875
transcript.pyannote[1663].end 23169.76034375
transcript.pyannote[1664].speaker SPEAKER_11
transcript.pyannote[1664].start 23170.31721875
transcript.pyannote[1664].end 23170.62096875
transcript.pyannote[1665].speaker SPEAKER_11
transcript.pyannote[1665].start 23170.90784375
transcript.pyannote[1665].end 23176.86471875
transcript.pyannote[1666].speaker SPEAKER_02
transcript.pyannote[1666].start 23177.69159375
transcript.pyannote[1666].end 23178.36659375
transcript.pyannote[1667].speaker SPEAKER_02
transcript.pyannote[1667].start 23178.65346875
transcript.pyannote[1667].end 23179.96971875
transcript.pyannote[1668].speaker SPEAKER_11
transcript.pyannote[1668].start 23179.96971875
transcript.pyannote[1668].end 23186.61846875
transcript.pyannote[1669].speaker SPEAKER_11
transcript.pyannote[1669].start 23187.02346875
transcript.pyannote[1669].end 23190.02721875
transcript.pyannote[1670].speaker SPEAKER_11
transcript.pyannote[1670].start 23190.34784375
transcript.pyannote[1670].end 23193.80721875
transcript.pyannote[1671].speaker SPEAKER_02
transcript.pyannote[1671].start 23194.33034375
transcript.pyannote[1671].end 23194.71846875
transcript.pyannote[1672].speaker SPEAKER_11
transcript.pyannote[1672].start 23194.93784375
transcript.pyannote[1672].end 23198.24534375
transcript.pyannote[1673].speaker SPEAKER_11
transcript.pyannote[1673].start 23198.38034375
transcript.pyannote[1673].end 23202.49784375
transcript.pyannote[1674].speaker SPEAKER_02
transcript.pyannote[1674].start 23203.13909375
transcript.pyannote[1674].end 23205.46784375
transcript.pyannote[1675].speaker SPEAKER_02
transcript.pyannote[1675].start 23205.73784375
transcript.pyannote[1675].end 23219.38971875
transcript.pyannote[1676].speaker SPEAKER_11
transcript.pyannote[1676].start 23219.38971875
transcript.pyannote[1676].end 23219.87909375
transcript.pyannote[1677].speaker SPEAKER_02
transcript.pyannote[1677].start 23219.87909375
transcript.pyannote[1677].end 23219.96346875
transcript.pyannote[1678].speaker SPEAKER_11
transcript.pyannote[1678].start 23219.96346875
transcript.pyannote[1678].end 23224.28346875
transcript.pyannote[1679].speaker SPEAKER_11
transcript.pyannote[1679].start 23224.60409375
transcript.pyannote[1679].end 23231.40471875
transcript.pyannote[1680].speaker SPEAKER_02
transcript.pyannote[1680].start 23229.76784375
transcript.pyannote[1680].end 23230.27409375
transcript.pyannote[1681].speaker SPEAKER_02
transcript.pyannote[1681].start 23230.79721875
transcript.pyannote[1681].end 23231.03346875
transcript.pyannote[1682].speaker SPEAKER_02
transcript.pyannote[1682].start 23231.40471875
transcript.pyannote[1682].end 23231.62409375
transcript.pyannote[1683].speaker SPEAKER_11
transcript.pyannote[1683].start 23231.62409375
transcript.pyannote[1683].end 23233.51409375
transcript.pyannote[1684].speaker SPEAKER_02
transcript.pyannote[1684].start 23231.67471875
transcript.pyannote[1684].end 23233.66596875
transcript.pyannote[1685].speaker SPEAKER_02
transcript.pyannote[1685].start 23233.83471875
transcript.pyannote[1685].end 23237.86784375
transcript.pyannote[1686].speaker SPEAKER_11
transcript.pyannote[1686].start 23233.96971875
transcript.pyannote[1686].end 23234.61096875
transcript.pyannote[1687].speaker SPEAKER_11
transcript.pyannote[1687].start 23235.96096875
transcript.pyannote[1687].end 23236.21409375
transcript.pyannote[1688].speaker SPEAKER_02
transcript.pyannote[1688].start 23238.30659375
transcript.pyannote[1688].end 23244.11159375
transcript.pyannote[1689].speaker SPEAKER_03
transcript.pyannote[1689].start 23241.14159375
transcript.pyannote[1689].end 23241.27659375
transcript.pyannote[1690].speaker SPEAKER_11
transcript.pyannote[1690].start 23241.27659375
transcript.pyannote[1690].end 23241.68159375
transcript.pyannote[1691].speaker SPEAKER_03
transcript.pyannote[1691].start 23241.68159375
transcript.pyannote[1691].end 23241.71534375
transcript.pyannote[1692].speaker SPEAKER_02
transcript.pyannote[1692].start 23244.38159375
transcript.pyannote[1692].end 23244.88784375
transcript.pyannote[1693].speaker SPEAKER_02
transcript.pyannote[1693].start 23245.22534375
transcript.pyannote[1693].end 23247.11534375
transcript.pyannote[1694].speaker SPEAKER_11
transcript.pyannote[1694].start 23246.30534375
transcript.pyannote[1694].end 23258.80971875
transcript.pyannote[1695].speaker SPEAKER_03
transcript.pyannote[1695].start 23252.34659375
transcript.pyannote[1695].end 23252.36346875
transcript.pyannote[1696].speaker SPEAKER_02
transcript.pyannote[1696].start 23252.36346875
transcript.pyannote[1696].end 23252.38034375
transcript.pyannote[1697].speaker SPEAKER_03
transcript.pyannote[1697].start 23252.38034375
transcript.pyannote[1697].end 23252.95409375
transcript.pyannote[1698].speaker SPEAKER_02
transcript.pyannote[1698].start 23252.95409375
transcript.pyannote[1698].end 23252.97096875
transcript.pyannote[1699].speaker SPEAKER_08
transcript.pyannote[1699].start 23255.13096875
transcript.pyannote[1699].end 23255.83971875
transcript.pyannote[1700].speaker SPEAKER_02
transcript.pyannote[1700].start 23255.83971875
transcript.pyannote[1700].end 23255.90721875
transcript.pyannote[1701].speaker SPEAKER_11
transcript.pyannote[1701].start 23258.97846875
transcript.pyannote[1701].end 23270.65596875
transcript.pyannote[1702].speaker SPEAKER_11
transcript.pyannote[1702].start 23271.28034375
transcript.pyannote[1702].end 23286.21471875
transcript.pyannote[1703].speaker SPEAKER_11
transcript.pyannote[1703].start 23286.88971875
transcript.pyannote[1703].end 23291.85096875
transcript.pyannote[1704].speaker SPEAKER_02
transcript.pyannote[1704].start 23292.08721875
transcript.pyannote[1704].end 23292.10409375
transcript.pyannote[1705].speaker SPEAKER_11
transcript.pyannote[1705].start 23292.10409375
transcript.pyannote[1705].end 23296.87971875
transcript.pyannote[1706].speaker SPEAKER_05
transcript.pyannote[1706].start 23299.91721875
transcript.pyannote[1706].end 23304.10221875
transcript.pyannote[1707].speaker SPEAKER_05
transcript.pyannote[1707].start 23307.15659375
transcript.pyannote[1707].end 23312.74221875
transcript.pyannote[1708].speaker SPEAKER_10
transcript.pyannote[1708].start 23326.41096875
transcript.pyannote[1708].end 23326.73159375
transcript.pyannote[1709].speaker SPEAKER_05
transcript.pyannote[1709].start 23326.73159375
transcript.pyannote[1709].end 23326.74846875
transcript.pyannote[1710].speaker SPEAKER_10
transcript.pyannote[1710].start 23326.74846875
transcript.pyannote[1710].end 23326.79909375
transcript.pyannote[1711].speaker SPEAKER_10
transcript.pyannote[1711].start 23326.95096875
transcript.pyannote[1711].end 23329.19534375
transcript.pyannote[1712].speaker SPEAKER_05
transcript.pyannote[1712].start 23329.80284375
transcript.pyannote[1712].end 23330.84909375
transcript.pyannote[1713].speaker SPEAKER_10
transcript.pyannote[1713].start 23337.26159375
transcript.pyannote[1713].end 23337.90284375
transcript.pyannote[1714].speaker SPEAKER_10
transcript.pyannote[1714].start 23338.20659375
transcript.pyannote[1714].end 23339.18534375
transcript.pyannote[1715].speaker SPEAKER_10
transcript.pyannote[1715].start 23339.30346875
transcript.pyannote[1715].end 23344.09596875
transcript.pyannote[1716].speaker SPEAKER_10
transcript.pyannote[1716].start 23344.36596875
transcript.pyannote[1716].end 23373.12096875
transcript.pyannote[1717].speaker SPEAKER_10
transcript.pyannote[1717].start 23373.50909375
transcript.pyannote[1717].end 23389.25346875
transcript.pyannote[1718].speaker SPEAKER_10
transcript.pyannote[1718].start 23389.47284375
transcript.pyannote[1718].end 23392.78034375
transcript.pyannote[1719].speaker SPEAKER_10
transcript.pyannote[1719].start 23393.23596875
transcript.pyannote[1719].end 23400.99846875
transcript.pyannote[1720].speaker SPEAKER_02
transcript.pyannote[1720].start 23401.58909375
transcript.pyannote[1720].end 23401.87596875
transcript.pyannote[1721].speaker SPEAKER_02
transcript.pyannote[1721].start 23402.07846875
transcript.pyannote[1721].end 23403.15846875
transcript.pyannote[1722].speaker SPEAKER_10
transcript.pyannote[1722].start 23402.38221875
transcript.pyannote[1722].end 23402.39909375
transcript.pyannote[1723].speaker SPEAKER_02
transcript.pyannote[1723].start 23403.63096875
transcript.pyannote[1723].end 23405.84159375
transcript.pyannote[1724].speaker SPEAKER_02
transcript.pyannote[1724].start 23406.46596875
transcript.pyannote[1724].end 23408.25471875
transcript.pyannote[1725].speaker SPEAKER_02
transcript.pyannote[1725].start 23408.55846875
transcript.pyannote[1725].end 23410.17846875
transcript.pyannote[1726].speaker SPEAKER_02
transcript.pyannote[1726].start 23410.29659375
transcript.pyannote[1726].end 23412.35534375
transcript.pyannote[1727].speaker SPEAKER_02
transcript.pyannote[1727].start 23412.82784375
transcript.pyannote[1727].end 23415.66284375
transcript.pyannote[1728].speaker SPEAKER_02
transcript.pyannote[1728].start 23415.86534375
transcript.pyannote[1728].end 23422.86846875
transcript.pyannote[1729].speaker SPEAKER_02
transcript.pyannote[1729].start 23422.93596875
transcript.pyannote[1729].end 23422.95284375
transcript.pyannote[1730].speaker SPEAKER_10
transcript.pyannote[1730].start 23422.95284375
transcript.pyannote[1730].end 23423.44221875
transcript.pyannote[1731].speaker SPEAKER_02
transcript.pyannote[1731].start 23423.44221875
transcript.pyannote[1731].end 23424.47159375
transcript.pyannote[1732].speaker SPEAKER_02
transcript.pyannote[1732].start 23424.57284375
transcript.pyannote[1732].end 23433.73596875
transcript.pyannote[1733].speaker SPEAKER_02
transcript.pyannote[1733].start 23433.90471875
transcript.pyannote[1733].end 23440.72221875
transcript.pyannote[1734].speaker SPEAKER_02
transcript.pyannote[1734].start 23440.87409375
transcript.pyannote[1734].end 23447.97846875
transcript.pyannote[1735].speaker SPEAKER_10
transcript.pyannote[1735].start 23447.97846875
transcript.pyannote[1735].end 23461.78221875
transcript.pyannote[1736].speaker SPEAKER_03
transcript.pyannote[1736].start 23454.44159375
transcript.pyannote[1736].end 23454.45846875
transcript.pyannote[1737].speaker SPEAKER_02
transcript.pyannote[1737].start 23454.45846875
transcript.pyannote[1737].end 23455.97721875
transcript.pyannote[1738].speaker SPEAKER_02
transcript.pyannote[1738].start 23457.59721875
transcript.pyannote[1738].end 23458.18784375
transcript.pyannote[1739].speaker SPEAKER_02
transcript.pyannote[1739].start 23460.02721875
transcript.pyannote[1739].end 23460.07784375
transcript.pyannote[1740].speaker SPEAKER_03
transcript.pyannote[1740].start 23460.07784375
transcript.pyannote[1740].end 23461.98471875
transcript.pyannote[1741].speaker SPEAKER_10
transcript.pyannote[1741].start 23462.18721875
transcript.pyannote[1741].end 23464.43159375
transcript.pyannote[1742].speaker SPEAKER_10
transcript.pyannote[1742].start 23465.30909375
transcript.pyannote[1742].end 23480.29409375
transcript.pyannote[1743].speaker SPEAKER_10
transcript.pyannote[1743].start 23480.69909375
transcript.pyannote[1743].end 23494.18221875
transcript.pyannote[1744].speaker SPEAKER_02
transcript.pyannote[1744].start 23494.84034375
transcript.pyannote[1744].end 23515.61346875
transcript.pyannote[1745].speaker SPEAKER_10
transcript.pyannote[1745].start 23510.23034375
transcript.pyannote[1745].end 23510.85471875
transcript.pyannote[1746].speaker SPEAKER_02
transcript.pyannote[1746].start 23515.86659375
transcript.pyannote[1746].end 23517.77346875
transcript.pyannote[1747].speaker SPEAKER_02
transcript.pyannote[1747].start 23518.06034375
transcript.pyannote[1747].end 23523.10596875
transcript.pyannote[1748].speaker SPEAKER_02
transcript.pyannote[1748].start 23523.44346875
transcript.pyannote[1748].end 23526.97034375
transcript.pyannote[1749].speaker SPEAKER_10
transcript.pyannote[1749].start 23526.97034375
transcript.pyannote[1749].end 23533.02846875
transcript.pyannote[1750].speaker SPEAKER_02
transcript.pyannote[1750].start 23533.02846875
transcript.pyannote[1750].end 23533.82159375
transcript.pyannote[1751].speaker SPEAKER_10
transcript.pyannote[1751].start 23533.82159375
transcript.pyannote[1751].end 23534.64846875
transcript.pyannote[1752].speaker SPEAKER_02
transcript.pyannote[1752].start 23533.85534375
transcript.pyannote[1752].end 23542.52909375
transcript.pyannote[1753].speaker SPEAKER_02
transcript.pyannote[1753].start 23542.73159375
transcript.pyannote[1753].end 23549.41409375
transcript.pyannote[1754].speaker SPEAKER_02
transcript.pyannote[1754].start 23549.53221875
transcript.pyannote[1754].end 23553.00846875
transcript.pyannote[1755].speaker SPEAKER_10
transcript.pyannote[1755].start 23553.00846875
transcript.pyannote[1755].end 23555.21909375
transcript.pyannote[1756].speaker SPEAKER_03
transcript.pyannote[1756].start 23555.35409375
transcript.pyannote[1756].end 23555.55659375
transcript.pyannote[1757].speaker SPEAKER_10
transcript.pyannote[1757].start 23555.55659375
transcript.pyannote[1757].end 23561.96909375
transcript.pyannote[1758].speaker SPEAKER_02
transcript.pyannote[1758].start 23562.32346875
transcript.pyannote[1758].end 23564.44971875
transcript.pyannote[1759].speaker SPEAKER_02
transcript.pyannote[1759].start 23565.49596875
transcript.pyannote[1759].end 23575.62096875
transcript.pyannote[1760].speaker SPEAKER_10
transcript.pyannote[1760].start 23565.52971875
transcript.pyannote[1760].end 23567.84159375
transcript.pyannote[1761].speaker SPEAKER_10
transcript.pyannote[1761].start 23574.40596875
transcript.pyannote[1761].end 23578.72596875
transcript.pyannote[1762].speaker SPEAKER_02
transcript.pyannote[1762].start 23576.83596875
transcript.pyannote[1762].end 23577.44346875
transcript.pyannote[1763].speaker SPEAKER_02
transcript.pyannote[1763].start 23578.72596875
transcript.pyannote[1763].end 23592.25971875
transcript.pyannote[1764].speaker SPEAKER_10
transcript.pyannote[1764].start 23578.74284375
transcript.pyannote[1764].end 23578.82721875
transcript.pyannote[1765].speaker SPEAKER_02
transcript.pyannote[1765].start 23592.54659375
transcript.pyannote[1765].end 23594.97659375
transcript.pyannote[1766].speaker SPEAKER_10
transcript.pyannote[1766].start 23594.97659375
transcript.pyannote[1766].end 23604.39284375
transcript.pyannote[1767].speaker SPEAKER_10
transcript.pyannote[1767].start 23604.94971875
transcript.pyannote[1767].end 23607.36284375
transcript.pyannote[1768].speaker SPEAKER_10
transcript.pyannote[1768].start 23607.78471875
transcript.pyannote[1768].end 23616.64409375
transcript.pyannote[1769].speaker SPEAKER_03
transcript.pyannote[1769].start 23617.08284375
transcript.pyannote[1769].end 23617.35284375
transcript.pyannote[1770].speaker SPEAKER_10
transcript.pyannote[1770].start 23617.65659375
transcript.pyannote[1770].end 23621.25096875
transcript.pyannote[1771].speaker SPEAKER_10
transcript.pyannote[1771].start 23621.45346875
transcript.pyannote[1771].end 23621.89221875
transcript.pyannote[1772].speaker SPEAKER_10
transcript.pyannote[1772].start 23622.11159375
transcript.pyannote[1772].end 23623.79909375
transcript.pyannote[1773].speaker SPEAKER_10
transcript.pyannote[1773].start 23623.98471875
transcript.pyannote[1773].end 23624.98034375
transcript.pyannote[1774].speaker SPEAKER_10
transcript.pyannote[1774].start 23625.65534375
transcript.pyannote[1774].end 23626.49909375
transcript.pyannote[1775].speaker SPEAKER_10
transcript.pyannote[1775].start 23626.78596875
transcript.pyannote[1775].end 23627.68034375
transcript.pyannote[1776].speaker SPEAKER_10
transcript.pyannote[1776].start 23627.83221875
transcript.pyannote[1776].end 23629.38471875
transcript.pyannote[1777].speaker SPEAKER_10
transcript.pyannote[1777].start 23629.60409375
transcript.pyannote[1777].end 23645.87159375
transcript.pyannote[1778].speaker SPEAKER_02
transcript.pyannote[1778].start 23647.40721875
transcript.pyannote[1778].end 23647.93034375
transcript.pyannote[1779].speaker SPEAKER_10
transcript.pyannote[1779].start 23649.39846875
transcript.pyannote[1779].end 23657.39721875
transcript.pyannote[1780].speaker SPEAKER_02
transcript.pyannote[1780].start 23649.41534375
transcript.pyannote[1780].end 23651.13659375
transcript.pyannote[1781].speaker SPEAKER_02
transcript.pyannote[1781].start 23651.45721875
transcript.pyannote[1781].end 23651.49096875
transcript.pyannote[1782].speaker SPEAKER_02
transcript.pyannote[1782].start 23651.54159375
transcript.pyannote[1782].end 23651.74409375
transcript.pyannote[1783].speaker SPEAKER_10
transcript.pyannote[1783].start 23657.78534375
transcript.pyannote[1783].end 23659.54034375
transcript.pyannote[1784].speaker SPEAKER_10
transcript.pyannote[1784].start 23659.86096875
transcript.pyannote[1784].end 23663.82659375
transcript.pyannote[1785].speaker SPEAKER_10
transcript.pyannote[1785].start 23664.61971875
transcript.pyannote[1785].end 23668.34909375
transcript.pyannote[1786].speaker SPEAKER_10
transcript.pyannote[1786].start 23668.97346875
transcript.pyannote[1786].end 23671.03221875
transcript.pyannote[1787].speaker SPEAKER_02
transcript.pyannote[1787].start 23671.03221875
transcript.pyannote[1787].end 23697.13784375
transcript.pyannote[1788].speaker SPEAKER_10
transcript.pyannote[1788].start 23689.29096875
transcript.pyannote[1788].end 23690.79284375
transcript.pyannote[1789].speaker SPEAKER_10
transcript.pyannote[1789].start 23695.11284375
transcript.pyannote[1789].end 23695.46721875
transcript.pyannote[1790].speaker SPEAKER_00
transcript.pyannote[1790].start 23695.46721875
transcript.pyannote[1790].end 23695.50096875
transcript.pyannote[1791].speaker SPEAKER_02
transcript.pyannote[1791].start 23697.61034375
transcript.pyannote[1791].end 23700.96846875
transcript.pyannote[1792].speaker SPEAKER_10
transcript.pyannote[1792].start 23700.96846875
transcript.pyannote[1792].end 23703.71909375
transcript.pyannote[1793].speaker SPEAKER_10
transcript.pyannote[1793].start 23704.44471875
transcript.pyannote[1793].end 23716.64534375
transcript.pyannote[1794].speaker SPEAKER_10
transcript.pyannote[1794].start 23717.13471875
transcript.pyannote[1794].end 23724.34034375
transcript.pyannote[1795].speaker SPEAKER_10
transcript.pyannote[1795].start 23725.25159375
transcript.pyannote[1795].end 23728.98096875
transcript.pyannote[1796].speaker SPEAKER_10
transcript.pyannote[1796].start 23730.44909375
transcript.pyannote[1796].end 23736.91221875
transcript.pyannote[1797].speaker SPEAKER_02
transcript.pyannote[1797].start 23731.25909375
transcript.pyannote[1797].end 23732.01846875
transcript.pyannote[1798].speaker SPEAKER_02
transcript.pyannote[1798].start 23732.17034375
transcript.pyannote[1798].end 23732.25471875
transcript.pyannote[1799].speaker SPEAKER_02
transcript.pyannote[1799].start 23737.67159375
transcript.pyannote[1799].end 23749.53471875
transcript.pyannote[1800].speaker SPEAKER_10
transcript.pyannote[1800].start 23742.16034375
transcript.pyannote[1800].end 23742.39659375
transcript.pyannote[1801].speaker SPEAKER_10
transcript.pyannote[1801].start 23748.20159375
transcript.pyannote[1801].end 23752.38659375
transcript.pyannote[1802].speaker SPEAKER_10
transcript.pyannote[1802].start 23752.99409375
transcript.pyannote[1802].end 23756.03159375
transcript.pyannote[1803].speaker SPEAKER_02
transcript.pyannote[1803].start 23753.01096875
transcript.pyannote[1803].end 23753.95596875
transcript.pyannote[1804].speaker SPEAKER_02
transcript.pyannote[1804].start 23756.03159375
transcript.pyannote[1804].end 23771.84346875
transcript.pyannote[1805].speaker SPEAKER_10
transcript.pyannote[1805].start 23772.24846875
transcript.pyannote[1805].end 23772.53534375
transcript.pyannote[1806].speaker SPEAKER_02
transcript.pyannote[1806].start 23772.75471875
transcript.pyannote[1806].end 23772.83909375
transcript.pyannote[1807].speaker SPEAKER_10
transcript.pyannote[1807].start 23772.83909375
transcript.pyannote[1807].end 23777.71596875
transcript.pyannote[1808].speaker SPEAKER_10
transcript.pyannote[1808].start 23778.07034375
transcript.pyannote[1808].end 23778.10409375
transcript.pyannote[1809].speaker SPEAKER_03
transcript.pyannote[1809].start 23778.10409375
transcript.pyannote[1809].end 23778.28971875
transcript.pyannote[1810].speaker SPEAKER_10
transcript.pyannote[1810].start 23778.28971875
transcript.pyannote[1810].end 23782.64346875
transcript.pyannote[1811].speaker SPEAKER_10
transcript.pyannote[1811].start 23782.87971875
transcript.pyannote[1811].end 23786.15346875
transcript.pyannote[1812].speaker SPEAKER_02
transcript.pyannote[1812].start 23786.71034375
transcript.pyannote[1812].end 23787.67221875
transcript.pyannote[1813].speaker SPEAKER_10
transcript.pyannote[1813].start 23786.81159375
transcript.pyannote[1813].end 23787.36846875
transcript.pyannote[1814].speaker SPEAKER_10
transcript.pyannote[1814].start 23787.67221875
transcript.pyannote[1814].end 23788.58346875
transcript.pyannote[1815].speaker SPEAKER_10
transcript.pyannote[1815].start 23789.22471875
transcript.pyannote[1815].end 23806.99409375
transcript.pyannote[1816].speaker SPEAKER_10
transcript.pyannote[1816].start 23807.12909375
transcript.pyannote[1816].end 23823.00846875
transcript.pyannote[1817].speaker SPEAKER_10
transcript.pyannote[1817].start 23823.48096875
transcript.pyannote[1817].end 23829.65721875
transcript.pyannote[1818].speaker SPEAKER_10
transcript.pyannote[1818].start 23829.77534375
transcript.pyannote[1818].end 23830.41659375
transcript.pyannote[1819].speaker SPEAKER_10
transcript.pyannote[1819].start 23830.95659375
transcript.pyannote[1819].end 23834.31471875
transcript.pyannote[1820].speaker SPEAKER_10
transcript.pyannote[1820].start 23834.83784375
transcript.pyannote[1820].end 23837.53784375
transcript.pyannote[1821].speaker SPEAKER_02
transcript.pyannote[1821].start 23838.21284375
transcript.pyannote[1821].end 23838.95534375
transcript.pyannote[1822].speaker SPEAKER_02
transcript.pyannote[1822].start 23839.14096875
transcript.pyannote[1822].end 23869.46534375
transcript.pyannote[1823].speaker SPEAKER_00
transcript.pyannote[1823].start 23849.48534375
transcript.pyannote[1823].end 23850.00846875
transcript.pyannote[1824].speaker SPEAKER_10
transcript.pyannote[1824].start 23867.01846875
transcript.pyannote[1824].end 23867.81159375
transcript.pyannote[1825].speaker SPEAKER_10
transcript.pyannote[1825].start 23869.46534375
transcript.pyannote[1825].end 23870.34284375
transcript.pyannote[1826].speaker SPEAKER_10
transcript.pyannote[1826].start 23870.49471875
transcript.pyannote[1826].end 23888.19659375
transcript.pyannote[1827].speaker SPEAKER_10
transcript.pyannote[1827].start 23889.20909375
transcript.pyannote[1827].end 23907.61971875
transcript.pyannote[1828].speaker SPEAKER_02
transcript.pyannote[1828].start 23907.61971875
transcript.pyannote[1828].end 23913.10409375
transcript.pyannote[1829].speaker SPEAKER_10
transcript.pyannote[1829].start 23913.27284375
transcript.pyannote[1829].end 23913.66096875
transcript.pyannote[1830].speaker SPEAKER_10
transcript.pyannote[1830].start 23913.79596875
transcript.pyannote[1830].end 23921.72721875
transcript.pyannote[1831].speaker SPEAKER_10
transcript.pyannote[1831].start 23922.28409375
transcript.pyannote[1831].end 23927.43096875
transcript.pyannote[1832].speaker SPEAKER_03
transcript.pyannote[1832].start 23924.61284375
transcript.pyannote[1832].end 23924.96721875
transcript.pyannote[1833].speaker SPEAKER_00
transcript.pyannote[1833].start 23924.96721875
transcript.pyannote[1833].end 23925.13596875
transcript.pyannote[1834].speaker SPEAKER_10
transcript.pyannote[1834].start 23928.13971875
transcript.pyannote[1834].end 23929.23659375
transcript.pyannote[1835].speaker SPEAKER_10
transcript.pyannote[1835].start 23929.89471875
transcript.pyannote[1835].end 23930.85659375
transcript.pyannote[1836].speaker SPEAKER_10
transcript.pyannote[1836].start 23931.12659375
transcript.pyannote[1836].end 23935.41284375
transcript.pyannote[1837].speaker SPEAKER_10
transcript.pyannote[1837].start 23935.73346875
transcript.pyannote[1837].end 23941.09971875
transcript.pyannote[1838].speaker SPEAKER_10
transcript.pyannote[1838].start 23941.35284375
transcript.pyannote[1838].end 23943.52971875
transcript.pyannote[1839].speaker SPEAKER_10
transcript.pyannote[1839].start 23944.66034375
transcript.pyannote[1839].end 23944.67721875
transcript.pyannote[1840].speaker SPEAKER_02
transcript.pyannote[1840].start 23944.67721875
transcript.pyannote[1840].end 23944.93034375
transcript.pyannote[1841].speaker SPEAKER_10
transcript.pyannote[1841].start 23944.93034375
transcript.pyannote[1841].end 23944.96409375
transcript.pyannote[1842].speaker SPEAKER_02
transcript.pyannote[1842].start 23944.96409375
transcript.pyannote[1842].end 23944.98096875
transcript.pyannote[1843].speaker SPEAKER_02
transcript.pyannote[1843].start 23945.79096875
transcript.pyannote[1843].end 23945.94284375
transcript.pyannote[1844].speaker SPEAKER_10
transcript.pyannote[1844].start 23945.94284375
transcript.pyannote[1844].end 23945.97659375
transcript.pyannote[1845].speaker SPEAKER_02
transcript.pyannote[1845].start 23945.97659375
transcript.pyannote[1845].end 23946.02721875
transcript.pyannote[1846].speaker SPEAKER_10
transcript.pyannote[1846].start 23946.02721875
transcript.pyannote[1846].end 23946.14534375
transcript.pyannote[1847].speaker SPEAKER_02
transcript.pyannote[1847].start 23946.14534375
transcript.pyannote[1847].end 23947.14096875
transcript.pyannote[1848].speaker SPEAKER_02
transcript.pyannote[1848].start 23947.57971875
transcript.pyannote[1848].end 23950.73534375
transcript.pyannote[1849].speaker SPEAKER_10
transcript.pyannote[1849].start 23948.69346875
transcript.pyannote[1849].end 23949.52034375
transcript.pyannote[1850].speaker SPEAKER_02
transcript.pyannote[1850].start 23951.10659375
transcript.pyannote[1850].end 23958.22784375
transcript.pyannote[1851].speaker SPEAKER_02
transcript.pyannote[1851].start 23958.64971875
transcript.pyannote[1851].end 23958.68346875
transcript.pyannote[1852].speaker SPEAKER_10
transcript.pyannote[1852].start 23958.68346875
transcript.pyannote[1852].end 23964.74159375
transcript.pyannote[1853].speaker SPEAKER_10
transcript.pyannote[1853].start 23964.85971875
transcript.pyannote[1853].end 23968.06596875
transcript.pyannote[1854].speaker SPEAKER_10
transcript.pyannote[1854].start 23968.57221875
transcript.pyannote[1854].end 23968.58909375
transcript.pyannote[1855].speaker SPEAKER_02
transcript.pyannote[1855].start 23968.58909375
transcript.pyannote[1855].end 23968.63971875
transcript.pyannote[1856].speaker SPEAKER_10
transcript.pyannote[1856].start 23968.63971875
transcript.pyannote[1856].end 23969.02784375
transcript.pyannote[1857].speaker SPEAKER_02
transcript.pyannote[1857].start 23969.02784375
transcript.pyannote[1857].end 23969.29784375
transcript.pyannote[1858].speaker SPEAKER_02
transcript.pyannote[1858].start 23969.61846875
transcript.pyannote[1858].end 23996.65221875
transcript.pyannote[1859].speaker SPEAKER_11
transcript.pyannote[1859].start 23978.12346875
transcript.pyannote[1859].end 23979.28784375
transcript.pyannote[1860].speaker SPEAKER_02
transcript.pyannote[1860].start 23996.85471875
transcript.pyannote[1860].end 23998.96409375
transcript.pyannote[1861].speaker SPEAKER_02
transcript.pyannote[1861].start 23999.41971875
transcript.pyannote[1861].end 24002.55846875
transcript.pyannote[1862].speaker SPEAKER_10
transcript.pyannote[1862].start 24002.55846875
transcript.pyannote[1862].end 24002.60909375
transcript.pyannote[1863].speaker SPEAKER_02
transcript.pyannote[1863].start 24002.60909375
transcript.pyannote[1863].end 24002.72721875
transcript.pyannote[1864].speaker SPEAKER_10
transcript.pyannote[1864].start 24002.72721875
transcript.pyannote[1864].end 24002.74409375
transcript.pyannote[1865].speaker SPEAKER_02
transcript.pyannote[1865].start 24002.74409375
transcript.pyannote[1865].end 24002.96346875
transcript.pyannote[1866].speaker SPEAKER_10
transcript.pyannote[1866].start 24002.96346875
transcript.pyannote[1866].end 24005.81534375
transcript.pyannote[1867].speaker SPEAKER_10
transcript.pyannote[1867].start 24006.20346875
transcript.pyannote[1867].end 24015.94034375
transcript.pyannote[1868].speaker SPEAKER_10
transcript.pyannote[1868].start 24016.46346875
transcript.pyannote[1868].end 24018.45471875
transcript.pyannote[1869].speaker SPEAKER_10
transcript.pyannote[1869].start 24018.69096875
transcript.pyannote[1869].end 24019.02846875
transcript.pyannote[1870].speaker SPEAKER_10
transcript.pyannote[1870].start 24019.19721875
transcript.pyannote[1870].end 24019.63596875
transcript.pyannote[1871].speaker SPEAKER_10
transcript.pyannote[1871].start 24020.27721875
transcript.pyannote[1871].end 24023.71971875
transcript.pyannote[1872].speaker SPEAKER_03
transcript.pyannote[1872].start 24023.83784375
transcript.pyannote[1872].end 24024.09096875
transcript.pyannote[1873].speaker SPEAKER_10
transcript.pyannote[1873].start 24024.19221875
transcript.pyannote[1873].end 24025.44096875
transcript.pyannote[1874].speaker SPEAKER_10
transcript.pyannote[1874].start 24025.67721875
transcript.pyannote[1874].end 24029.74409375
transcript.pyannote[1875].speaker SPEAKER_10
transcript.pyannote[1875].start 24029.82846875
transcript.pyannote[1875].end 24032.95034375
transcript.pyannote[1876].speaker SPEAKER_10
transcript.pyannote[1876].start 24033.52409375
transcript.pyannote[1876].end 24034.31721875
transcript.pyannote[1877].speaker SPEAKER_10
transcript.pyannote[1877].start 24034.89096875
transcript.pyannote[1877].end 24044.40846875
transcript.pyannote[1878].speaker SPEAKER_10
transcript.pyannote[1878].start 24044.64471875
transcript.pyannote[1878].end 24049.38659375
transcript.pyannote[1879].speaker SPEAKER_10
transcript.pyannote[1879].start 24049.53846875
transcript.pyannote[1879].end 24063.03846875
transcript.pyannote[1880].speaker SPEAKER_10
transcript.pyannote[1880].start 24063.05534375
transcript.pyannote[1880].end 24063.86534375
transcript.pyannote[1881].speaker SPEAKER_10
transcript.pyannote[1881].start 24063.94971875
transcript.pyannote[1881].end 24069.07971875
transcript.pyannote[1882].speaker SPEAKER_10
transcript.pyannote[1882].start 24069.19784375
transcript.pyannote[1882].end 24070.19346875
transcript.pyannote[1883].speaker SPEAKER_10
transcript.pyannote[1883].start 24070.37909375
transcript.pyannote[1883].end 24076.35284375
transcript.pyannote[1884].speaker SPEAKER_10
transcript.pyannote[1884].start 24076.45409375
transcript.pyannote[1884].end 24077.71971875
transcript.pyannote[1885].speaker SPEAKER_02
transcript.pyannote[1885].start 24078.15846875
transcript.pyannote[1885].end 24078.49596875
transcript.pyannote[1886].speaker SPEAKER_02
transcript.pyannote[1886].start 24078.79971875
transcript.pyannote[1886].end 24096.80534375
transcript.pyannote[1887].speaker SPEAKER_10
transcript.pyannote[1887].start 24095.20221875
transcript.pyannote[1887].end 24096.02909375
transcript.pyannote[1888].speaker SPEAKER_10
transcript.pyannote[1888].start 24096.80534375
transcript.pyannote[1888].end 24096.82221875
transcript.pyannote[1889].speaker SPEAKER_02
transcript.pyannote[1889].start 24096.82221875
transcript.pyannote[1889].end 24096.83909375
transcript.pyannote[1890].speaker SPEAKER_02
transcript.pyannote[1890].start 24096.90659375
transcript.pyannote[1890].end 24097.02471875
transcript.pyannote[1891].speaker SPEAKER_10
transcript.pyannote[1891].start 24097.02471875
transcript.pyannote[1891].end 24105.83346875
transcript.pyannote[1892].speaker SPEAKER_02
transcript.pyannote[1892].start 24097.09221875
transcript.pyannote[1892].end 24098.12159375
transcript.pyannote[1893].speaker SPEAKER_10
transcript.pyannote[1893].start 24106.44096875
transcript.pyannote[1893].end 24126.82596875
transcript.pyannote[1894].speaker SPEAKER_10
transcript.pyannote[1894].start 24127.18034375
transcript.pyannote[1894].end 24127.21409375
transcript.pyannote[1895].speaker SPEAKER_02
transcript.pyannote[1895].start 24127.21409375
transcript.pyannote[1895].end 24127.55159375
transcript.pyannote[1896].speaker SPEAKER_10
transcript.pyannote[1896].start 24127.55159375
transcript.pyannote[1896].end 24128.02409375
transcript.pyannote[1897].speaker SPEAKER_02
transcript.pyannote[1897].start 24128.02409375
transcript.pyannote[1897].end 24128.71596875
transcript.pyannote[1898].speaker SPEAKER_10
transcript.pyannote[1898].start 24128.15909375
transcript.pyannote[1898].end 24129.03659375
transcript.pyannote[1899].speaker SPEAKER_02
transcript.pyannote[1899].start 24129.03659375
transcript.pyannote[1899].end 24130.13346875
transcript.pyannote[1900].speaker SPEAKER_02
transcript.pyannote[1900].start 24130.36971875
transcript.pyannote[1900].end 24146.04659375
transcript.pyannote[1901].speaker SPEAKER_10
transcript.pyannote[1901].start 24137.08596875
transcript.pyannote[1901].end 24137.77784375
transcript.pyannote[1902].speaker SPEAKER_10
transcript.pyannote[1902].start 24139.07721875
transcript.pyannote[1902].end 24141.13596875
transcript.pyannote[1903].speaker SPEAKER_10
transcript.pyannote[1903].start 24146.04659375
transcript.pyannote[1903].end 24150.75471875
transcript.pyannote[1904].speaker SPEAKER_10
transcript.pyannote[1904].start 24150.85596875
transcript.pyannote[1904].end 24177.02909375
transcript.pyannote[1905].speaker SPEAKER_10
transcript.pyannote[1905].start 24177.24846875
transcript.pyannote[1905].end 24192.70596875
transcript.pyannote[1906].speaker SPEAKER_10
transcript.pyannote[1906].start 24192.77346875
transcript.pyannote[1906].end 24193.83659375
transcript.pyannote[1907].speaker SPEAKER_10
transcript.pyannote[1907].start 24194.10659375
transcript.pyannote[1907].end 24195.25409375
transcript.pyannote[1908].speaker SPEAKER_02
transcript.pyannote[1908].start 24195.25409375
transcript.pyannote[1908].end 24195.27096875
transcript.pyannote[1909].speaker SPEAKER_10
transcript.pyannote[1909].start 24195.49034375
transcript.pyannote[1909].end 24195.52409375
transcript.pyannote[1910].speaker SPEAKER_02
transcript.pyannote[1910].start 24195.52409375
transcript.pyannote[1910].end 24195.96284375
transcript.pyannote[1911].speaker SPEAKER_10
transcript.pyannote[1911].start 24195.96284375
transcript.pyannote[1911].end 24196.03034375
transcript.pyannote[1912].speaker SPEAKER_02
transcript.pyannote[1912].start 24196.03034375
transcript.pyannote[1912].end 24197.00909375
transcript.pyannote[1913].speaker SPEAKER_02
transcript.pyannote[1913].start 24197.49846875
transcript.pyannote[1913].end 24204.01221875
transcript.pyannote[1914].speaker SPEAKER_10
transcript.pyannote[1914].start 24204.01221875
transcript.pyannote[1914].end 24213.93471875
transcript.pyannote[1915].speaker SPEAKER_02
transcript.pyannote[1915].start 24204.60284375
transcript.pyannote[1915].end 24204.63659375
transcript.pyannote[1916].speaker SPEAKER_10
transcript.pyannote[1916].start 24214.49159375
transcript.pyannote[1916].end 24221.03909375
transcript.pyannote[1917].speaker SPEAKER_02
transcript.pyannote[1917].start 24221.03909375
transcript.pyannote[1917].end 24221.66346875
transcript.pyannote[1918].speaker SPEAKER_02
transcript.pyannote[1918].start 24222.08534375
transcript.pyannote[1918].end 24228.48096875
transcript.pyannote[1919].speaker SPEAKER_02
transcript.pyannote[1919].start 24228.76784375
transcript.pyannote[1919].end 24235.83846875
transcript.pyannote[1920].speaker SPEAKER_10
transcript.pyannote[1920].start 24230.82659375
transcript.pyannote[1920].end 24233.52659375
transcript.pyannote[1921].speaker SPEAKER_10
transcript.pyannote[1921].start 24235.83846875
transcript.pyannote[1921].end 24241.54221875
transcript.pyannote[1922].speaker SPEAKER_05
transcript.pyannote[1922].start 24243.90471875
transcript.pyannote[1922].end 24247.93784375
transcript.pyannote[1923].speaker SPEAKER_05
transcript.pyannote[1923].start 24250.85721875
transcript.pyannote[1923].end 24263.02409375
transcript.pyannote[1924].speaker SPEAKER_05
transcript.pyannote[1924].start 24263.34471875
transcript.pyannote[1924].end 24265.47096875
transcript.pyannote[1925].speaker SPEAKER_05
transcript.pyannote[1925].start 24266.07846875
transcript.pyannote[1925].end 24271.73159375
transcript.pyannote[1926].speaker SPEAKER_04
transcript.pyannote[1926].start 24294.22596875
transcript.pyannote[1926].end 24295.67721875
transcript.pyannote[1927].speaker SPEAKER_05
transcript.pyannote[1927].start 24297.36471875
transcript.pyannote[1927].end 24298.96784375
transcript.pyannote[1928].speaker SPEAKER_04
transcript.pyannote[1928].start 24297.41534375
transcript.pyannote[1928].end 24298.09034375
transcript.pyannote[1929].speaker SPEAKER_02
transcript.pyannote[1929].start 24306.34221875
transcript.pyannote[1929].end 24307.05096875
transcript.pyannote[1930].speaker SPEAKER_04
transcript.pyannote[1930].start 24307.70909375
transcript.pyannote[1930].end 24308.36721875
transcript.pyannote[1931].speaker SPEAKER_04
transcript.pyannote[1931].start 24308.65409375
transcript.pyannote[1931].end 24337.56096875
transcript.pyannote[1932].speaker SPEAKER_04
transcript.pyannote[1932].start 24337.94909375
transcript.pyannote[1932].end 24341.03721875
transcript.pyannote[1933].speaker SPEAKER_04
transcript.pyannote[1933].start 24341.17221875
transcript.pyannote[1933].end 24351.01034375
transcript.pyannote[1934].speaker SPEAKER_04
transcript.pyannote[1934].start 24351.12846875
transcript.pyannote[1934].end 24352.96784375
transcript.pyannote[1935].speaker SPEAKER_04
transcript.pyannote[1935].start 24353.10284375
transcript.pyannote[1935].end 24381.72284375
transcript.pyannote[1936].speaker SPEAKER_04
transcript.pyannote[1936].start 24381.99284375
transcript.pyannote[1936].end 24401.01096875
transcript.pyannote[1937].speaker SPEAKER_04
transcript.pyannote[1937].start 24402.14159375
transcript.pyannote[1937].end 24427.04909375
transcript.pyannote[1938].speaker SPEAKER_04
transcript.pyannote[1938].start 24427.50471875
transcript.pyannote[1938].end 24432.43221875
transcript.pyannote[1939].speaker SPEAKER_04
transcript.pyannote[1939].start 24432.55034375
transcript.pyannote[1939].end 24436.11096875
transcript.pyannote[1940].speaker SPEAKER_04
transcript.pyannote[1940].start 24436.29659375
transcript.pyannote[1940].end 24439.26659375
transcript.pyannote[1941].speaker SPEAKER_04
transcript.pyannote[1941].start 24439.31721875
transcript.pyannote[1941].end 24476.61096875
transcript.pyannote[1942].speaker SPEAKER_02
transcript.pyannote[1942].start 24477.52221875
transcript.pyannote[1942].end 24478.04534375
transcript.pyannote[1943].speaker SPEAKER_02
transcript.pyannote[1943].start 24478.21409375
transcript.pyannote[1943].end 24480.81284375
transcript.pyannote[1944].speaker SPEAKER_04
transcript.pyannote[1944].start 24481.38659375
transcript.pyannote[1944].end 24493.95846875
transcript.pyannote[1945].speaker SPEAKER_02
transcript.pyannote[1945].start 24494.32971875
transcript.pyannote[1945].end 24494.71784375
transcript.pyannote[1946].speaker SPEAKER_02
transcript.pyannote[1946].start 24495.30846875
transcript.pyannote[1946].end 24517.24596875
transcript.pyannote[1947].speaker SPEAKER_02
transcript.pyannote[1947].start 24517.48221875
transcript.pyannote[1947].end 24522.35909375
transcript.pyannote[1948].speaker SPEAKER_04
transcript.pyannote[1948].start 24523.15221875
transcript.pyannote[1948].end 24552.02534375
transcript.pyannote[1949].speaker SPEAKER_04
transcript.pyannote[1949].start 24552.66659375
transcript.pyannote[1949].end 24557.54346875
transcript.pyannote[1950].speaker SPEAKER_02
transcript.pyannote[1950].start 24558.15096875
transcript.pyannote[1950].end 24590.78721875
transcript.pyannote[1951].speaker SPEAKER_04
transcript.pyannote[1951].start 24592.40721875
transcript.pyannote[1951].end 24612.52221875
transcript.pyannote[1952].speaker SPEAKER_04
transcript.pyannote[1952].start 24612.84284375
transcript.pyannote[1952].end 24618.71534375
transcript.pyannote[1953].speaker SPEAKER_02
transcript.pyannote[1953].start 24619.62659375
transcript.pyannote[1953].end 24631.01721875
transcript.pyannote[1954].speaker SPEAKER_02
transcript.pyannote[1954].start 24631.18596875
transcript.pyannote[1954].end 24634.30784375
transcript.pyannote[1955].speaker SPEAKER_02
transcript.pyannote[1955].start 24634.45971875
transcript.pyannote[1955].end 24640.82159375
transcript.pyannote[1956].speaker SPEAKER_04
transcript.pyannote[1956].start 24641.15909375
transcript.pyannote[1956].end 24649.22534375
transcript.pyannote[1957].speaker SPEAKER_02
transcript.pyannote[1957].start 24648.49971875
transcript.pyannote[1957].end 24651.62159375
transcript.pyannote[1958].speaker SPEAKER_04
transcript.pyannote[1958].start 24652.06034375
transcript.pyannote[1958].end 24652.49909375
transcript.pyannote[1959].speaker SPEAKER_04
transcript.pyannote[1959].start 24652.92096875
transcript.pyannote[1959].end 24653.91659375
transcript.pyannote[1960].speaker SPEAKER_04
transcript.pyannote[1960].start 24654.23721875
transcript.pyannote[1960].end 24705.14909375
transcript.pyannote[1961].speaker SPEAKER_04
transcript.pyannote[1961].start 24705.63846875
transcript.pyannote[1961].end 24713.83971875
transcript.pyannote[1962].speaker SPEAKER_02
transcript.pyannote[1962].start 24715.03784375
transcript.pyannote[1962].end 24722.53034375
transcript.pyannote[1963].speaker SPEAKER_02
transcript.pyannote[1963].start 24722.96909375
transcript.pyannote[1963].end 24724.85909375
transcript.pyannote[1964].speaker SPEAKER_02
transcript.pyannote[1964].start 24725.17971875
transcript.pyannote[1964].end 24727.17096875
transcript.pyannote[1965].speaker SPEAKER_02
transcript.pyannote[1965].start 24727.44096875
transcript.pyannote[1965].end 24734.46096875
transcript.pyannote[1966].speaker SPEAKER_02
transcript.pyannote[1966].start 24734.51159375
transcript.pyannote[1966].end 24739.92846875
transcript.pyannote[1967].speaker SPEAKER_02
transcript.pyannote[1967].start 24740.36721875
transcript.pyannote[1967].end 24744.36659375
transcript.pyannote[1968].speaker SPEAKER_04
transcript.pyannote[1968].start 24745.39596875
transcript.pyannote[1968].end 24745.59846875
transcript.pyannote[1969].speaker SPEAKER_04
transcript.pyannote[1969].start 24745.68284375
transcript.pyannote[1969].end 24788.91659375
transcript.pyannote[1970].speaker SPEAKER_04
transcript.pyannote[1970].start 24789.38909375
transcript.pyannote[1970].end 24792.20721875
transcript.pyannote[1971].speaker SPEAKER_04
transcript.pyannote[1971].start 24792.47721875
transcript.pyannote[1971].end 24797.52284375
transcript.pyannote[1972].speaker SPEAKER_04
transcript.pyannote[1972].start 24797.70846875
transcript.pyannote[1972].end 24817.62096875
transcript.pyannote[1973].speaker SPEAKER_04
transcript.pyannote[1973].start 24818.16096875
transcript.pyannote[1973].end 24822.75096875
transcript.pyannote[1974].speaker SPEAKER_04
transcript.pyannote[1974].start 24823.00409375
transcript.pyannote[1974].end 24835.74471875
transcript.pyannote[1975].speaker SPEAKER_04
transcript.pyannote[1975].start 24835.89659375
transcript.pyannote[1975].end 24838.63034375
transcript.pyannote[1976].speaker SPEAKER_02
transcript.pyannote[1976].start 24839.27159375
transcript.pyannote[1976].end 24841.48221875
transcript.pyannote[1977].speaker SPEAKER_02
transcript.pyannote[1977].start 24841.80284375
transcript.pyannote[1977].end 24847.43909375
transcript.pyannote[1978].speaker SPEAKER_02
transcript.pyannote[1978].start 24847.82721875
transcript.pyannote[1978].end 24882.01596875
transcript.pyannote[1979].speaker SPEAKER_00
transcript.pyannote[1979].start 24851.50596875
transcript.pyannote[1979].end 24851.87721875
transcript.pyannote[1980].speaker SPEAKER_04
transcript.pyannote[1980].start 24882.33659375
transcript.pyannote[1980].end 24890.99346875
transcript.pyannote[1981].speaker SPEAKER_04
transcript.pyannote[1981].start 24891.19596875
transcript.pyannote[1981].end 24891.61784375
transcript.pyannote[1982].speaker SPEAKER_03
transcript.pyannote[1982].start 24891.21284375
transcript.pyannote[1982].end 24891.92159375
transcript.pyannote[1983].speaker SPEAKER_04
transcript.pyannote[1983].start 24892.41096875
transcript.pyannote[1983].end 24905.50596875
transcript.pyannote[1984].speaker SPEAKER_04
transcript.pyannote[1984].start 24905.86034375
transcript.pyannote[1984].end 24925.13159375
transcript.pyannote[1985].speaker SPEAKER_04
transcript.pyannote[1985].start 24925.40159375
transcript.pyannote[1985].end 24933.58596875
transcript.pyannote[1986].speaker SPEAKER_04
transcript.pyannote[1986].start 24934.04159375
transcript.pyannote[1986].end 24937.65284375
transcript.pyannote[1987].speaker SPEAKER_04
transcript.pyannote[1987].start 24937.97346875
transcript.pyannote[1987].end 24948.60471875
transcript.pyannote[1988].speaker SPEAKER_04
transcript.pyannote[1988].start 24948.67221875
transcript.pyannote[1988].end 24962.94846875
transcript.pyannote[1989].speaker SPEAKER_04
transcript.pyannote[1989].start 24962.99909375
transcript.pyannote[1989].end 24965.93534375
transcript.pyannote[1990].speaker SPEAKER_04
transcript.pyannote[1990].start 24966.42471875
transcript.pyannote[1990].end 24982.96221875
transcript.pyannote[1991].speaker SPEAKER_04
transcript.pyannote[1991].start 24983.21534375
transcript.pyannote[1991].end 25003.16159375
transcript.pyannote[1992].speaker SPEAKER_04
transcript.pyannote[1992].start 25003.70159375
transcript.pyannote[1992].end 25010.97471875
transcript.pyannote[1993].speaker SPEAKER_02
transcript.pyannote[1993].start 25012.02096875
transcript.pyannote[1993].end 25013.25284375
transcript.pyannote[1994].speaker SPEAKER_02
transcript.pyannote[1994].start 25013.53971875
transcript.pyannote[1994].end 25013.91096875
transcript.pyannote[1995].speaker SPEAKER_02
transcript.pyannote[1995].start 25014.19784375
transcript.pyannote[1995].end 25015.51409375
transcript.pyannote[1996].speaker SPEAKER_02
transcript.pyannote[1996].start 25015.93596875
transcript.pyannote[1996].end 25016.56034375
transcript.pyannote[1997].speaker SPEAKER_02
transcript.pyannote[1997].start 25017.43784375
transcript.pyannote[1997].end 25017.92721875
transcript.pyannote[1998].speaker SPEAKER_02
transcript.pyannote[1998].start 25018.45034375
transcript.pyannote[1998].end 25019.10846875
transcript.pyannote[1999].speaker SPEAKER_02
transcript.pyannote[1999].start 25019.73284375
transcript.pyannote[1999].end 25020.55971875
transcript.pyannote[2000].speaker SPEAKER_02
transcript.pyannote[2000].start 25020.86346875
transcript.pyannote[2000].end 25021.45409375
transcript.pyannote[2001].speaker SPEAKER_02
transcript.pyannote[2001].start 25022.23034375
transcript.pyannote[2001].end 25026.58409375
transcript.pyannote[2002].speaker SPEAKER_02
transcript.pyannote[2002].start 25026.71909375
transcript.pyannote[2002].end 25027.41096875
transcript.pyannote[2003].speaker SPEAKER_02
transcript.pyannote[2003].start 25028.05221875
transcript.pyannote[2003].end 25030.43159375
transcript.pyannote[2004].speaker SPEAKER_02
transcript.pyannote[2004].start 25030.83659375
transcript.pyannote[2004].end 25033.40159375
transcript.pyannote[2005].speaker SPEAKER_02
transcript.pyannote[2005].start 25033.67159375
transcript.pyannote[2005].end 25082.25471875
transcript.pyannote[2006].speaker SPEAKER_02
transcript.pyannote[2006].start 25082.65971875
transcript.pyannote[2006].end 25083.70596875
transcript.pyannote[2007].speaker SPEAKER_04
transcript.pyannote[2007].start 25084.02659375
transcript.pyannote[2007].end 25084.29659375
transcript.pyannote[2008].speaker SPEAKER_04
transcript.pyannote[2008].start 25084.76909375
transcript.pyannote[2008].end 25103.36534375
transcript.pyannote[2009].speaker SPEAKER_02
transcript.pyannote[2009].start 25103.75346875
transcript.pyannote[2009].end 25104.12471875
transcript.pyannote[2010].speaker SPEAKER_02
transcript.pyannote[2010].start 25105.25534375
transcript.pyannote[2010].end 25106.70659375
transcript.pyannote[2011].speaker SPEAKER_04
transcript.pyannote[2011].start 25107.73596875
transcript.pyannote[2011].end 25108.14096875
transcript.pyannote[2012].speaker SPEAKER_04
transcript.pyannote[2012].start 25108.71471875
transcript.pyannote[2012].end 25123.41284375
transcript.pyannote[2013].speaker SPEAKER_04
transcript.pyannote[2013].start 25123.75034375
transcript.pyannote[2013].end 25141.18221875
transcript.pyannote[2014].speaker SPEAKER_04
transcript.pyannote[2014].start 25141.63784375
transcript.pyannote[2014].end 25149.87284375
transcript.pyannote[2015].speaker SPEAKER_04
transcript.pyannote[2015].start 25149.88971875
transcript.pyannote[2015].end 25154.93534375
transcript.pyannote[2016].speaker SPEAKER_04
transcript.pyannote[2016].start 25155.17159375
transcript.pyannote[2016].end 25157.63534375
transcript.pyannote[2017].speaker SPEAKER_04
transcript.pyannote[2017].start 25157.82096875
transcript.pyannote[2017].end 25159.05284375
transcript.pyannote[2018].speaker SPEAKER_04
transcript.pyannote[2018].start 25159.32284375
transcript.pyannote[2018].end 25161.43221875
transcript.pyannote[2019].speaker SPEAKER_04
transcript.pyannote[2019].start 25161.58409375
transcript.pyannote[2019].end 25175.60721875
transcript.pyannote[2020].speaker SPEAKER_04
transcript.pyannote[2020].start 25176.18096875
transcript.pyannote[2020].end 25177.14284375
transcript.pyannote[2021].speaker SPEAKER_02
transcript.pyannote[2021].start 25178.25659375
transcript.pyannote[2021].end 25186.10346875
transcript.pyannote[2022].speaker SPEAKER_02
transcript.pyannote[2022].start 25186.39034375
transcript.pyannote[2022].end 25195.26659375
transcript.pyannote[2023].speaker SPEAKER_02
transcript.pyannote[2023].start 25195.77284375
transcript.pyannote[2023].end 25204.81784375
transcript.pyannote[2024].speaker SPEAKER_02
transcript.pyannote[2024].start 25205.15534375
transcript.pyannote[2024].end 25207.72034375
transcript.pyannote[2025].speaker SPEAKER_05
transcript.pyannote[2025].start 25215.70221875
transcript.pyannote[2025].end 25219.80284375
transcript.pyannote[2026].speaker SPEAKER_05
transcript.pyannote[2026].start 25226.92409375
transcript.pyannote[2026].end 25233.47159375
transcript.pyannote[2027].speaker SPEAKER_05
transcript.pyannote[2027].start 25234.07909375
transcript.pyannote[2027].end 25235.95221875
transcript.pyannote[2028].speaker SPEAKER_05
transcript.pyannote[2028].start 25236.27284375
transcript.pyannote[2028].end 25243.22534375
transcript.pyannote[2029].speaker SPEAKER_00
transcript.pyannote[2029].start 25252.23659375
transcript.pyannote[2029].end 25255.03784375
transcript.pyannote[2030].speaker SPEAKER_00
transcript.pyannote[2030].start 25255.57784375
transcript.pyannote[2030].end 25260.23534375
transcript.pyannote[2031].speaker SPEAKER_05
transcript.pyannote[2031].start 25260.45471875
transcript.pyannote[2031].end 25261.61909375
transcript.pyannote[2032].speaker SPEAKER_05
transcript.pyannote[2032].start 25261.66971875
transcript.pyannote[2032].end 25262.39534375
transcript.pyannote[2033].speaker SPEAKER_00
transcript.pyannote[2033].start 25268.01471875
transcript.pyannote[2033].end 25271.81159375
transcript.pyannote[2034].speaker SPEAKER_00
transcript.pyannote[2034].start 25272.35159375
transcript.pyannote[2034].end 25275.37221875
transcript.pyannote[2035].speaker SPEAKER_00
transcript.pyannote[2035].start 25275.64221875
transcript.pyannote[2035].end 25277.39721875
transcript.pyannote[2036].speaker SPEAKER_00
transcript.pyannote[2036].start 25278.03846875
transcript.pyannote[2036].end 25281.14346875
transcript.pyannote[2037].speaker SPEAKER_00
transcript.pyannote[2037].start 25281.54846875
transcript.pyannote[2037].end 25289.20971875
transcript.pyannote[2038].speaker SPEAKER_00
transcript.pyannote[2038].start 25289.56409375
transcript.pyannote[2038].end 25292.77034375
transcript.pyannote[2039].speaker SPEAKER_00
transcript.pyannote[2039].start 25293.07409375
transcript.pyannote[2039].end 25299.28409375
transcript.pyannote[2040].speaker SPEAKER_00
transcript.pyannote[2040].start 25300.09409375
transcript.pyannote[2040].end 25301.35971875
transcript.pyannote[2041].speaker SPEAKER_00
transcript.pyannote[2041].start 25301.56221875
transcript.pyannote[2041].end 25329.77721875
transcript.pyannote[2042].speaker SPEAKER_00
transcript.pyannote[2042].start 25330.23284375
transcript.pyannote[2042].end 25330.67159375
transcript.pyannote[2043].speaker SPEAKER_00
transcript.pyannote[2043].start 25331.05971875
transcript.pyannote[2043].end 25334.24909375
transcript.pyannote[2044].speaker SPEAKER_00
transcript.pyannote[2044].start 25334.62034375
transcript.pyannote[2044].end 25335.46409375
transcript.pyannote[2045].speaker SPEAKER_00
transcript.pyannote[2045].start 25336.17284375
transcript.pyannote[2045].end 25339.27784375
transcript.pyannote[2046].speaker SPEAKER_00
transcript.pyannote[2046].start 25339.48034375
transcript.pyannote[2046].end 25342.56846875
transcript.pyannote[2047].speaker SPEAKER_00
transcript.pyannote[2047].start 25342.85534375
transcript.pyannote[2047].end 25346.07846875
transcript.pyannote[2048].speaker SPEAKER_00
transcript.pyannote[2048].start 25346.38221875
transcript.pyannote[2048].end 25356.49034375
transcript.pyannote[2049].speaker SPEAKER_00
transcript.pyannote[2049].start 25357.01346875
transcript.pyannote[2049].end 25357.63784375
transcript.pyannote[2050].speaker SPEAKER_02
transcript.pyannote[2050].start 25357.63784375
transcript.pyannote[2050].end 25363.07159375
transcript.pyannote[2051].speaker SPEAKER_02
transcript.pyannote[2051].start 25363.84784375
transcript.pyannote[2051].end 25381.19534375
transcript.pyannote[2052].speaker SPEAKER_00
transcript.pyannote[2052].start 25371.15471875
transcript.pyannote[2052].end 25372.36971875
transcript.pyannote[2053].speaker SPEAKER_02
transcript.pyannote[2053].start 25381.71846875
transcript.pyannote[2053].end 25389.66659375
transcript.pyannote[2054].speaker SPEAKER_02
transcript.pyannote[2054].start 25389.73409375
transcript.pyannote[2054].end 25403.53784375
transcript.pyannote[2055].speaker SPEAKER_00
transcript.pyannote[2055].start 25401.29346875
transcript.pyannote[2055].end 25403.84159375
transcript.pyannote[2056].speaker SPEAKER_02
transcript.pyannote[2056].start 25403.84159375
transcript.pyannote[2056].end 25403.85846875
transcript.pyannote[2057].speaker SPEAKER_00
transcript.pyannote[2057].start 25403.85846875
transcript.pyannote[2057].end 25403.89221875
transcript.pyannote[2058].speaker SPEAKER_02
transcript.pyannote[2058].start 25403.89221875
transcript.pyannote[2058].end 25403.90909375
transcript.pyannote[2059].speaker SPEAKER_02
transcript.pyannote[2059].start 25404.55034375
transcript.pyannote[2059].end 25406.79471875
transcript.pyannote[2060].speaker SPEAKER_00
transcript.pyannote[2060].start 25405.96784375
transcript.pyannote[2060].end 25406.77784375
transcript.pyannote[2061].speaker SPEAKER_00
transcript.pyannote[2061].start 25406.79471875
transcript.pyannote[2061].end 25407.68909375
transcript.pyannote[2062].speaker SPEAKER_02
transcript.pyannote[2062].start 25407.68909375
transcript.pyannote[2062].end 25407.70596875
transcript.pyannote[2063].speaker SPEAKER_00
transcript.pyannote[2063].start 25407.70596875
transcript.pyannote[2063].end 25408.38096875
transcript.pyannote[2064].speaker SPEAKER_02
transcript.pyannote[2064].start 25407.73971875
transcript.pyannote[2064].end 25414.84409375
transcript.pyannote[2065].speaker SPEAKER_00
transcript.pyannote[2065].start 25409.83221875
transcript.pyannote[2065].end 25411.09784375
transcript.pyannote[2066].speaker SPEAKER_02
transcript.pyannote[2066].start 25415.14784375
transcript.pyannote[2066].end 25427.83784375
transcript.pyannote[2067].speaker SPEAKER_00
transcript.pyannote[2067].start 25425.79596875
transcript.pyannote[2067].end 25427.21346875
transcript.pyannote[2068].speaker SPEAKER_00
transcript.pyannote[2068].start 25427.26409375
transcript.pyannote[2068].end 25427.33159375
transcript.pyannote[2069].speaker SPEAKER_00
transcript.pyannote[2069].start 25427.83784375
transcript.pyannote[2069].end 25427.87159375
transcript.pyannote[2070].speaker SPEAKER_02
transcript.pyannote[2070].start 25427.87159375
transcript.pyannote[2070].end 25427.97284375
transcript.pyannote[2071].speaker SPEAKER_00
transcript.pyannote[2071].start 25427.97284375
transcript.pyannote[2071].end 25440.67971875
transcript.pyannote[2072].speaker SPEAKER_02
transcript.pyannote[2072].start 25440.42659375
transcript.pyannote[2072].end 25447.85159375
transcript.pyannote[2073].speaker SPEAKER_02
transcript.pyannote[2073].start 25447.86846875
transcript.pyannote[2073].end 25449.16784375
transcript.pyannote[2074].speaker SPEAKER_00
transcript.pyannote[2074].start 25448.56034375
transcript.pyannote[2074].end 25449.15096875
transcript.pyannote[2075].speaker SPEAKER_00
transcript.pyannote[2075].start 25449.16784375
transcript.pyannote[2075].end 25455.56346875
transcript.pyannote[2076].speaker SPEAKER_00
transcript.pyannote[2076].start 25456.03596875
transcript.pyannote[2076].end 25457.11596875
transcript.pyannote[2077].speaker SPEAKER_00
transcript.pyannote[2077].start 25457.50409375
transcript.pyannote[2077].end 25459.46159375
transcript.pyannote[2078].speaker SPEAKER_00
transcript.pyannote[2078].start 25460.52471875
transcript.pyannote[2078].end 25466.53221875
transcript.pyannote[2079].speaker SPEAKER_00
transcript.pyannote[2079].start 25466.63346875
transcript.pyannote[2079].end 25467.03846875
transcript.pyannote[2080].speaker SPEAKER_00
transcript.pyannote[2080].start 25467.05534375
transcript.pyannote[2080].end 25469.53596875
transcript.pyannote[2081].speaker SPEAKER_02
transcript.pyannote[2081].start 25469.33346875
transcript.pyannote[2081].end 25474.96971875
transcript.pyannote[2082].speaker SPEAKER_02
transcript.pyannote[2082].start 25475.39159375
transcript.pyannote[2082].end 25475.40846875
transcript.pyannote[2083].speaker SPEAKER_00
transcript.pyannote[2083].start 25475.40846875
transcript.pyannote[2083].end 25493.44784375
transcript.pyannote[2084].speaker SPEAKER_02
transcript.pyannote[2084].start 25492.36784375
transcript.pyannote[2084].end 25494.27471875
transcript.pyannote[2085].speaker SPEAKER_00
transcript.pyannote[2085].start 25493.66721875
transcript.pyannote[2085].end 25508.97284375
transcript.pyannote[2086].speaker SPEAKER_02
transcript.pyannote[2086].start 25496.56971875
transcript.pyannote[2086].end 25497.05909375
transcript.pyannote[2087].speaker SPEAKER_00
transcript.pyannote[2087].start 25509.31034375
transcript.pyannote[2087].end 25521.39284375
transcript.pyannote[2088].speaker SPEAKER_00
transcript.pyannote[2088].start 25521.88221875
transcript.pyannote[2088].end 25525.02096875
transcript.pyannote[2089].speaker SPEAKER_00
transcript.pyannote[2089].start 25525.15596875
transcript.pyannote[2089].end 25528.12596875
transcript.pyannote[2090].speaker SPEAKER_00
transcript.pyannote[2090].start 25528.39596875
transcript.pyannote[2090].end 25532.37846875
transcript.pyannote[2091].speaker SPEAKER_00
transcript.pyannote[2091].start 25533.67784375
transcript.pyannote[2091].end 25553.87721875
transcript.pyannote[2092].speaker SPEAKER_00
transcript.pyannote[2092].start 25554.24846875
transcript.pyannote[2092].end 25555.24409375
transcript.pyannote[2093].speaker SPEAKER_00
transcript.pyannote[2093].start 25555.83471875
transcript.pyannote[2093].end 25557.23534375
transcript.pyannote[2094].speaker SPEAKER_00
transcript.pyannote[2094].start 25557.77534375
transcript.pyannote[2094].end 25566.22971875
transcript.pyannote[2095].speaker SPEAKER_02
transcript.pyannote[2095].start 25563.19221875
transcript.pyannote[2095].end 25563.66471875
transcript.pyannote[2096].speaker SPEAKER_00
transcript.pyannote[2096].start 25566.34784375
transcript.pyannote[2096].end 25581.26534375
transcript.pyannote[2097].speaker SPEAKER_02
transcript.pyannote[2097].start 25581.78846875
transcript.pyannote[2097].end 25587.86346875
transcript.pyannote[2098].speaker SPEAKER_02
transcript.pyannote[2098].start 25588.11659375
transcript.pyannote[2098].end 25588.87596875
transcript.pyannote[2099].speaker SPEAKER_02
transcript.pyannote[2099].start 25589.29784375
transcript.pyannote[2099].end 25592.14971875
transcript.pyannote[2100].speaker SPEAKER_00
transcript.pyannote[2100].start 25590.79971875
transcript.pyannote[2100].end 25591.32284375
transcript.pyannote[2101].speaker SPEAKER_00
transcript.pyannote[2101].start 25592.53784375
transcript.pyannote[2101].end 25593.31409375
transcript.pyannote[2102].speaker SPEAKER_00
transcript.pyannote[2102].start 25593.66846875
transcript.pyannote[2102].end 25595.74409375
transcript.pyannote[2103].speaker SPEAKER_02
transcript.pyannote[2103].start 25594.90034375
transcript.pyannote[2103].end 25595.33909375
transcript.pyannote[2104].speaker SPEAKER_00
transcript.pyannote[2104].start 25596.09846875
transcript.pyannote[2104].end 25596.94221875
transcript.pyannote[2105].speaker SPEAKER_00
transcript.pyannote[2105].start 25597.43159375
transcript.pyannote[2105].end 25600.18221875
transcript.pyannote[2106].speaker SPEAKER_00
transcript.pyannote[2106].start 25600.73909375
transcript.pyannote[2106].end 25619.41971875
transcript.pyannote[2107].speaker SPEAKER_00
transcript.pyannote[2107].start 25619.97659375
transcript.pyannote[2107].end 25624.33034375
transcript.pyannote[2108].speaker SPEAKER_00
transcript.pyannote[2108].start 25624.60034375
transcript.pyannote[2108].end 25629.96659375
transcript.pyannote[2109].speaker SPEAKER_02
transcript.pyannote[2109].start 25629.96659375
transcript.pyannote[2109].end 25641.74534375
transcript.pyannote[2110].speaker SPEAKER_00
transcript.pyannote[2110].start 25639.90596875
transcript.pyannote[2110].end 25660.96596875
transcript.pyannote[2111].speaker SPEAKER_02
transcript.pyannote[2111].start 25660.96596875
transcript.pyannote[2111].end 25662.88971875
transcript.pyannote[2112].speaker SPEAKER_02
transcript.pyannote[2112].start 25663.00784375
transcript.pyannote[2112].end 25678.21221875
transcript.pyannote[2113].speaker SPEAKER_03
transcript.pyannote[2113].start 25666.34909375
transcript.pyannote[2113].end 25668.03659375
transcript.pyannote[2114].speaker SPEAKER_00
transcript.pyannote[2114].start 25668.03659375
transcript.pyannote[2114].end 25669.67346875
transcript.pyannote[2115].speaker SPEAKER_00
transcript.pyannote[2115].start 25671.52971875
transcript.pyannote[2115].end 25671.79971875
transcript.pyannote[2116].speaker SPEAKER_00
transcript.pyannote[2116].start 25674.43221875
transcript.pyannote[2116].end 25674.87096875
transcript.pyannote[2117].speaker SPEAKER_00
transcript.pyannote[2117].start 25676.59221875
transcript.pyannote[2117].end 25693.23096875
transcript.pyannote[2118].speaker SPEAKER_00
transcript.pyannote[2118].start 25693.68659375
transcript.pyannote[2118].end 25694.24346875
transcript.pyannote[2119].speaker SPEAKER_00
transcript.pyannote[2119].start 25695.82971875
transcript.pyannote[2119].end 25733.00534375
transcript.pyannote[2120].speaker SPEAKER_02
transcript.pyannote[2120].start 25733.00534375
transcript.pyannote[2120].end 25750.52159375
transcript.pyannote[2121].speaker SPEAKER_03
transcript.pyannote[2121].start 25742.91096875
transcript.pyannote[2121].end 25742.92784375
transcript.pyannote[2122].speaker SPEAKER_00
transcript.pyannote[2122].start 25742.92784375
transcript.pyannote[2122].end 25743.21471875
transcript.pyannote[2123].speaker SPEAKER_00
transcript.pyannote[2123].start 25747.41659375
transcript.pyannote[2123].end 25764.00471875
transcript.pyannote[2124].speaker SPEAKER_00
transcript.pyannote[2124].start 25764.54471875
transcript.pyannote[2124].end 25774.83846875
transcript.pyannote[2125].speaker SPEAKER_00
transcript.pyannote[2125].start 25775.36159375
transcript.pyannote[2125].end 25777.48784375
transcript.pyannote[2126].speaker SPEAKER_00
transcript.pyannote[2126].start 25778.73659375
transcript.pyannote[2126].end 25779.47909375
transcript.pyannote[2127].speaker SPEAKER_00
transcript.pyannote[2127].start 25779.93471875
transcript.pyannote[2127].end 25780.45784375
transcript.pyannote[2128].speaker SPEAKER_00
transcript.pyannote[2128].start 25780.86284375
transcript.pyannote[2128].end 25781.77409375
transcript.pyannote[2129].speaker SPEAKER_00
transcript.pyannote[2129].start 25781.94284375
transcript.pyannote[2129].end 25782.71909375
transcript.pyannote[2130].speaker SPEAKER_00
transcript.pyannote[2130].start 25783.00596875
transcript.pyannote[2130].end 25794.19409375
transcript.pyannote[2131].speaker SPEAKER_00
transcript.pyannote[2131].start 25794.95346875
transcript.pyannote[2131].end 25797.68721875
transcript.pyannote[2132].speaker SPEAKER_00
transcript.pyannote[2132].start 25798.22721875
transcript.pyannote[2132].end 25818.81471875
transcript.pyannote[2133].speaker SPEAKER_00
transcript.pyannote[2133].start 25819.20284375
transcript.pyannote[2133].end 25820.68784375
transcript.pyannote[2134].speaker SPEAKER_00
transcript.pyannote[2134].start 25821.02534375
transcript.pyannote[2134].end 25827.92721875
transcript.pyannote[2135].speaker SPEAKER_00
transcript.pyannote[2135].start 25828.12971875
transcript.pyannote[2135].end 25832.78721875
transcript.pyannote[2136].speaker SPEAKER_00
transcript.pyannote[2136].start 25833.15846875
transcript.pyannote[2136].end 25833.76596875
transcript.pyannote[2137].speaker SPEAKER_00
transcript.pyannote[2137].start 25834.01909375
transcript.pyannote[2137].end 25834.69409375
transcript.pyannote[2138].speaker SPEAKER_00
transcript.pyannote[2138].start 25835.99346875
transcript.pyannote[2138].end 25837.02284375
transcript.pyannote[2139].speaker SPEAKER_00
transcript.pyannote[2139].start 25837.49534375
transcript.pyannote[2139].end 25838.00159375
transcript.pyannote[2140].speaker SPEAKER_00
transcript.pyannote[2140].start 25838.32221875
transcript.pyannote[2140].end 25840.80284375
transcript.pyannote[2141].speaker SPEAKER_00
transcript.pyannote[2141].start 25841.02221875
transcript.pyannote[2141].end 25841.03909375
transcript.pyannote[2142].speaker SPEAKER_00
transcript.pyannote[2142].start 25841.05596875
transcript.pyannote[2142].end 25842.72659375
transcript.pyannote[2143].speaker SPEAKER_00
transcript.pyannote[2143].start 25843.04721875
transcript.pyannote[2143].end 25844.19471875
transcript.pyannote[2144].speaker SPEAKER_00
transcript.pyannote[2144].start 25844.51534375
transcript.pyannote[2144].end 25844.86971875
transcript.pyannote[2145].speaker SPEAKER_00
transcript.pyannote[2145].start 25845.27471875
transcript.pyannote[2145].end 25847.35034375
transcript.pyannote[2146].speaker SPEAKER_00
transcript.pyannote[2146].start 25847.94096875
transcript.pyannote[2146].end 25848.24471875
transcript.pyannote[2147].speaker SPEAKER_00
transcript.pyannote[2147].start 25848.70034375
transcript.pyannote[2147].end 25849.22346875
transcript.pyannote[2148].speaker SPEAKER_00
transcript.pyannote[2148].start 25849.94909375
transcript.pyannote[2148].end 25850.67471875
transcript.pyannote[2149].speaker SPEAKER_00
transcript.pyannote[2149].start 25851.43409375
transcript.pyannote[2149].end 25855.48409375
transcript.pyannote[2150].speaker SPEAKER_00
transcript.pyannote[2150].start 25856.07471875
transcript.pyannote[2150].end 25859.12909375
transcript.pyannote[2151].speaker SPEAKER_00
transcript.pyannote[2151].start 25859.65221875
transcript.pyannote[2151].end 25864.29284375
transcript.pyannote[2152].speaker SPEAKER_00
transcript.pyannote[2152].start 25864.81596875
transcript.pyannote[2152].end 25869.05159375
transcript.pyannote[2153].speaker SPEAKER_00
transcript.pyannote[2153].start 25869.38909375
transcript.pyannote[2153].end 25870.36784375
transcript.pyannote[2154].speaker SPEAKER_00
transcript.pyannote[2154].start 25870.80659375
transcript.pyannote[2154].end 25877.08409375
transcript.pyannote[2155].speaker SPEAKER_00
transcript.pyannote[2155].start 25877.53971875
transcript.pyannote[2155].end 25882.41659375
transcript.pyannote[2156].speaker SPEAKER_00
transcript.pyannote[2156].start 25882.78784375
transcript.pyannote[2156].end 25891.05659375
transcript.pyannote[2157].speaker SPEAKER_00
transcript.pyannote[2157].start 25892.77784375
transcript.pyannote[2157].end 25893.52034375
transcript.pyannote[2158].speaker SPEAKER_00
transcript.pyannote[2158].start 25893.89159375
transcript.pyannote[2158].end 25894.04346875
transcript.pyannote[2159].speaker SPEAKER_02
transcript.pyannote[2159].start 25894.04346875
transcript.pyannote[2159].end 25894.38096875
transcript.pyannote[2160].speaker SPEAKER_00
transcript.pyannote[2160].start 25894.38096875
transcript.pyannote[2160].end 25894.97159375
transcript.pyannote[2161].speaker SPEAKER_02
transcript.pyannote[2161].start 25894.97159375
transcript.pyannote[2161].end 25895.52846875
transcript.pyannote[2162].speaker SPEAKER_02
transcript.pyannote[2162].start 25896.76034375
transcript.pyannote[2162].end 25897.75596875
transcript.pyannote[2163].speaker SPEAKER_02
transcript.pyannote[2163].start 25898.38034375
transcript.pyannote[2163].end 25900.03409375
transcript.pyannote[2164].speaker SPEAKER_00
transcript.pyannote[2164].start 25898.51534375
transcript.pyannote[2164].end 25899.25784375
transcript.pyannote[2165].speaker SPEAKER_02
transcript.pyannote[2165].start 25900.21971875
transcript.pyannote[2165].end 25901.83971875
transcript.pyannote[2166].speaker SPEAKER_02
transcript.pyannote[2166].start 25902.10971875
transcript.pyannote[2166].end 25911.15471875
transcript.pyannote[2167].speaker SPEAKER_02
transcript.pyannote[2167].start 25911.42471875
transcript.pyannote[2167].end 25923.05159375
transcript.pyannote[2168].speaker SPEAKER_00
transcript.pyannote[2168].start 25922.08971875
transcript.pyannote[2168].end 25922.91659375
transcript.pyannote[2169].speaker SPEAKER_00
transcript.pyannote[2169].start 25923.05159375
transcript.pyannote[2169].end 25924.62096875
transcript.pyannote[2170].speaker SPEAKER_00
transcript.pyannote[2170].start 25925.21159375
transcript.pyannote[2170].end 25925.93721875
transcript.pyannote[2171].speaker SPEAKER_00
transcript.pyannote[2171].start 25926.10596875
transcript.pyannote[2171].end 25926.94971875
transcript.pyannote[2172].speaker SPEAKER_00
transcript.pyannote[2172].start 25927.35471875
transcript.pyannote[2172].end 25927.72596875
transcript.pyannote[2173].speaker SPEAKER_00
transcript.pyannote[2173].start 25928.02971875
transcript.pyannote[2173].end 25930.07159375
transcript.pyannote[2174].speaker SPEAKER_00
transcript.pyannote[2174].start 25930.64534375
transcript.pyannote[2174].end 25931.03346875
transcript.pyannote[2175].speaker SPEAKER_00
transcript.pyannote[2175].start 25931.64096875
transcript.pyannote[2175].end 25934.18909375
transcript.pyannote[2176].speaker SPEAKER_00
transcript.pyannote[2176].start 25934.56034375
transcript.pyannote[2176].end 25940.41596875
transcript.pyannote[2177].speaker SPEAKER_00
transcript.pyannote[2177].start 25940.85471875
transcript.pyannote[2177].end 25941.74909375
transcript.pyannote[2178].speaker SPEAKER_00
transcript.pyannote[2178].start 25941.93471875
transcript.pyannote[2178].end 25943.57159375
transcript.pyannote[2179].speaker SPEAKER_00
transcript.pyannote[2179].start 25944.26346875
transcript.pyannote[2179].end 25944.90471875
transcript.pyannote[2180].speaker SPEAKER_00
transcript.pyannote[2180].start 25945.71471875
transcript.pyannote[2180].end 25947.23346875
transcript.pyannote[2181].speaker SPEAKER_00
transcript.pyannote[2181].start 25947.58784375
transcript.pyannote[2181].end 25949.59596875
transcript.pyannote[2182].speaker SPEAKER_00
transcript.pyannote[2182].start 25950.10221875
transcript.pyannote[2182].end 25950.97971875
transcript.pyannote[2183].speaker SPEAKER_00
transcript.pyannote[2183].start 25951.21596875
transcript.pyannote[2183].end 25952.70096875
transcript.pyannote[2184].speaker SPEAKER_00
transcript.pyannote[2184].start 25952.98784375
transcript.pyannote[2184].end 25953.88221875
transcript.pyannote[2185].speaker SPEAKER_00
transcript.pyannote[2185].start 25954.82721875
transcript.pyannote[2185].end 25957.61159375
transcript.pyannote[2186].speaker SPEAKER_00
transcript.pyannote[2186].start 25957.64534375
transcript.pyannote[2186].end 25958.45534375
transcript.pyannote[2187].speaker SPEAKER_02
transcript.pyannote[2187].start 25957.94909375
transcript.pyannote[2187].end 25958.67471875
transcript.pyannote[2188].speaker SPEAKER_00
transcript.pyannote[2188].start 25958.67471875
transcript.pyannote[2188].end 25958.89409375
transcript.pyannote[2189].speaker SPEAKER_00
transcript.pyannote[2189].start 25959.19784375
transcript.pyannote[2189].end 25960.48034375
transcript.pyannote[2190].speaker SPEAKER_00
transcript.pyannote[2190].start 25961.22284375
transcript.pyannote[2190].end 25963.65284375
transcript.pyannote[2191].speaker SPEAKER_00
transcript.pyannote[2191].start 25963.83846875
transcript.pyannote[2191].end 25967.38221875
transcript.pyannote[2192].speaker SPEAKER_00
transcript.pyannote[2192].start 25967.85471875
transcript.pyannote[2192].end 25968.83346875
transcript.pyannote[2193].speaker SPEAKER_00
transcript.pyannote[2193].start 25969.17096875
transcript.pyannote[2193].end 25970.14971875
transcript.pyannote[2194].speaker SPEAKER_00
transcript.pyannote[2194].start 25970.72346875
transcript.pyannote[2194].end 25971.39846875
transcript.pyannote[2195].speaker SPEAKER_00
transcript.pyannote[2195].start 25972.07346875
transcript.pyannote[2195].end 25972.71471875
transcript.pyannote[2196].speaker SPEAKER_00
transcript.pyannote[2196].start 25972.96784375
transcript.pyannote[2196].end 25975.00971875
transcript.pyannote[2197].speaker SPEAKER_00
transcript.pyannote[2197].start 25975.73534375
transcript.pyannote[2197].end 25981.69221875
transcript.pyannote[2198].speaker SPEAKER_00
transcript.pyannote[2198].start 25982.04659375
transcript.pyannote[2198].end 25986.83909375
transcript.pyannote[2199].speaker SPEAKER_00
transcript.pyannote[2199].start 25987.19346875
transcript.pyannote[2199].end 25991.42909375
transcript.pyannote[2200].speaker SPEAKER_00
transcript.pyannote[2200].start 25991.61471875
transcript.pyannote[2200].end 25994.06159375
transcript.pyannote[2201].speaker SPEAKER_00
transcript.pyannote[2201].start 25994.87159375
transcript.pyannote[2201].end 25999.27596875
transcript.pyannote[2202].speaker SPEAKER_00
transcript.pyannote[2202].start 25999.66409375
transcript.pyannote[2202].end 26001.75659375
transcript.pyannote[2203].speaker SPEAKER_00
transcript.pyannote[2203].start 26002.27971875
transcript.pyannote[2203].end 26004.23721875
transcript.pyannote[2204].speaker SPEAKER_00
transcript.pyannote[2204].start 26004.79409375
transcript.pyannote[2204].end 26005.43534375
transcript.pyannote[2205].speaker SPEAKER_00
transcript.pyannote[2205].start 26005.63784375
transcript.pyannote[2205].end 26008.79346875
transcript.pyannote[2206].speaker SPEAKER_00
transcript.pyannote[2206].start 26009.45159375
transcript.pyannote[2206].end 26010.04221875
transcript.pyannote[2207].speaker SPEAKER_00
transcript.pyannote[2207].start 26010.61596875
transcript.pyannote[2207].end 26012.18534375
transcript.pyannote[2208].speaker SPEAKER_00
transcript.pyannote[2208].start 26012.50596875
transcript.pyannote[2208].end 26015.30721875
transcript.pyannote[2209].speaker SPEAKER_00
transcript.pyannote[2209].start 26015.76284375
transcript.pyannote[2209].end 26021.55096875
transcript.pyannote[2210].speaker SPEAKER_00
transcript.pyannote[2210].start 26022.24284375
transcript.pyannote[2210].end 26025.44909375
transcript.pyannote[2211].speaker SPEAKER_00
transcript.pyannote[2211].start 26025.92159375
transcript.pyannote[2211].end 26027.55846875
transcript.pyannote[2212].speaker SPEAKER_02
transcript.pyannote[2212].start 26028.40221875
transcript.pyannote[2212].end 26032.43534375
transcript.pyannote[2213].speaker SPEAKER_02
transcript.pyannote[2213].start 26032.75596875
transcript.pyannote[2213].end 26036.06346875
transcript.pyannote[2214].speaker SPEAKER_02
transcript.pyannote[2214].start 26036.11409375
transcript.pyannote[2214].end 26039.57346875
transcript.pyannote[2215].speaker SPEAKER_02
transcript.pyannote[2215].start 26039.75909375
transcript.pyannote[2215].end 26040.77159375
transcript.pyannote[2216].speaker SPEAKER_02
transcript.pyannote[2216].start 26040.94034375
transcript.pyannote[2216].end 26053.61346875
transcript.pyannote[2217].speaker SPEAKER_03
transcript.pyannote[2217].start 26045.74971875
transcript.pyannote[2217].end 26046.17159375
transcript.pyannote[2218].speaker SPEAKER_00
transcript.pyannote[2218].start 26046.82971875
transcript.pyannote[2218].end 26046.84659375
transcript.pyannote[2219].speaker SPEAKER_03
transcript.pyannote[2219].start 26046.84659375
transcript.pyannote[2219].end 26047.31909375
transcript.pyannote[2220].speaker SPEAKER_02
transcript.pyannote[2220].start 26053.88346875
transcript.pyannote[2220].end 26056.44846875
transcript.pyannote[2221].speaker SPEAKER_00
transcript.pyannote[2221].start 26055.75659375
transcript.pyannote[2221].end 26056.38096875
transcript.pyannote[2222].speaker SPEAKER_00
transcript.pyannote[2222].start 26056.85346875
transcript.pyannote[2222].end 26059.90784375
transcript.pyannote[2223].speaker SPEAKER_00
transcript.pyannote[2223].start 26060.53221875
transcript.pyannote[2223].end 26062.45596875
transcript.pyannote[2224].speaker SPEAKER_00
transcript.pyannote[2224].start 26062.91159375
transcript.pyannote[2224].end 26065.69596875
transcript.pyannote[2225].speaker SPEAKER_00
transcript.pyannote[2225].start 26065.84784375
transcript.pyannote[2225].end 26067.43409375
transcript.pyannote[2226].speaker SPEAKER_00
transcript.pyannote[2226].start 26068.29471875
transcript.pyannote[2226].end 26071.90596875
transcript.pyannote[2227].speaker SPEAKER_00
transcript.pyannote[2227].start 26072.12534375
transcript.pyannote[2227].end 26072.90159375
transcript.pyannote[2228].speaker SPEAKER_00
transcript.pyannote[2228].start 26073.44159375
transcript.pyannote[2228].end 26080.98471875
transcript.pyannote[2229].speaker SPEAKER_00
transcript.pyannote[2229].start 26081.17034375
transcript.pyannote[2229].end 26092.84784375
transcript.pyannote[2230].speaker SPEAKER_00
transcript.pyannote[2230].start 26093.03346875
transcript.pyannote[2230].end 26095.81784375
transcript.pyannote[2231].speaker SPEAKER_00
transcript.pyannote[2231].start 26096.12159375
transcript.pyannote[2231].end 26100.18846875
transcript.pyannote[2232].speaker SPEAKER_00
transcript.pyannote[2232].start 26100.69471875
transcript.pyannote[2232].end 26102.60159375
transcript.pyannote[2233].speaker SPEAKER_00
transcript.pyannote[2233].start 26103.02346875
transcript.pyannote[2233].end 26103.42846875
transcript.pyannote[2234].speaker SPEAKER_00
transcript.pyannote[2234].start 26103.85034375
transcript.pyannote[2234].end 26105.03159375
transcript.pyannote[2235].speaker SPEAKER_00
transcript.pyannote[2235].start 26105.74034375
transcript.pyannote[2235].end 26106.70221875
transcript.pyannote[2236].speaker SPEAKER_00
transcript.pyannote[2236].start 26107.25909375
transcript.pyannote[2236].end 26110.07721875
transcript.pyannote[2237].speaker SPEAKER_00
transcript.pyannote[2237].start 26110.58346875
transcript.pyannote[2237].end 26115.39284375
transcript.pyannote[2238].speaker SPEAKER_00
transcript.pyannote[2238].start 26115.71346875
transcript.pyannote[2238].end 26126.04096875
transcript.pyannote[2239].speaker SPEAKER_00
transcript.pyannote[2239].start 26126.41221875
transcript.pyannote[2239].end 26136.89159375
transcript.pyannote[2240].speaker SPEAKER_00
transcript.pyannote[2240].start 26137.09409375
transcript.pyannote[2240].end 26139.91221875
transcript.pyannote[2241].speaker SPEAKER_00
transcript.pyannote[2241].start 26140.09784375
transcript.pyannote[2241].end 26146.98284375
transcript.pyannote[2242].speaker SPEAKER_00
transcript.pyannote[2242].start 26147.45534375
transcript.pyannote[2242].end 26148.67034375
transcript.pyannote[2243].speaker SPEAKER_00
transcript.pyannote[2243].start 26148.78846875
transcript.pyannote[2243].end 26153.07471875
transcript.pyannote[2244].speaker SPEAKER_00
transcript.pyannote[2244].start 26153.69909375
transcript.pyannote[2244].end 26155.11659375
transcript.pyannote[2245].speaker SPEAKER_02
transcript.pyannote[2245].start 26155.80846875
transcript.pyannote[2245].end 26168.19471875
transcript.pyannote[2246].speaker SPEAKER_00
transcript.pyannote[2246].start 26165.30909375
transcript.pyannote[2246].end 26165.89971875
transcript.pyannote[2247].speaker SPEAKER_02
transcript.pyannote[2247].start 26168.44784375
transcript.pyannote[2247].end 26170.00034375
transcript.pyannote[2248].speaker SPEAKER_00
transcript.pyannote[2248].start 26170.28721875
transcript.pyannote[2248].end 26170.74284375
transcript.pyannote[2249].speaker SPEAKER_00
transcript.pyannote[2249].start 26170.84409375
transcript.pyannote[2249].end 26171.53596875
transcript.pyannote[2250].speaker SPEAKER_05
transcript.pyannote[2250].start 26173.86471875
transcript.pyannote[2250].end 26177.27346875
transcript.pyannote[2251].speaker SPEAKER_05
transcript.pyannote[2251].start 26178.33659375
transcript.pyannote[2251].end 26179.09596875
transcript.pyannote[2252].speaker SPEAKER_05
transcript.pyannote[2252].start 26179.51784375
transcript.pyannote[2252].end 26184.81659375
transcript.pyannote[2253].speaker SPEAKER_05
transcript.pyannote[2253].start 26185.06971875
transcript.pyannote[2253].end 26187.24659375
transcript.pyannote[2254].speaker SPEAKER_05
transcript.pyannote[2254].start 26187.65159375
transcript.pyannote[2254].end 26194.48596875
transcript.pyannote[2255].speaker SPEAKER_09
transcript.pyannote[2255].start 26205.28596875
transcript.pyannote[2255].end 26207.69909375
transcript.pyannote[2256].speaker SPEAKER_05
transcript.pyannote[2256].start 26208.00284375
transcript.pyannote[2256].end 26209.20096875
transcript.pyannote[2257].speaker SPEAKER_05
transcript.pyannote[2257].start 26215.86659375
transcript.pyannote[2257].end 26215.90034375
transcript.pyannote[2258].speaker SPEAKER_09
transcript.pyannote[2258].start 26215.90034375
transcript.pyannote[2258].end 26217.60471875
transcript.pyannote[2259].speaker SPEAKER_03
transcript.pyannote[2259].start 26217.87471875
transcript.pyannote[2259].end 26218.04346875
transcript.pyannote[2260].speaker SPEAKER_09
transcript.pyannote[2260].start 26218.04346875
transcript.pyannote[2260].end 26234.93534375
transcript.pyannote[2261].speaker SPEAKER_03
transcript.pyannote[2261].start 26218.07721875
transcript.pyannote[2261].end 26218.17846875
transcript.pyannote[2262].speaker SPEAKER_02
transcript.pyannote[2262].start 26222.58284375
transcript.pyannote[2262].end 26222.76846875
transcript.pyannote[2263].speaker SPEAKER_03
transcript.pyannote[2263].start 26222.76846875
transcript.pyannote[2263].end 26222.81909375
transcript.pyannote[2264].speaker SPEAKER_03
transcript.pyannote[2264].start 26224.74284375
transcript.pyannote[2264].end 26225.01284375
transcript.pyannote[2265].speaker SPEAKER_09
transcript.pyannote[2265].start 26235.30659375
transcript.pyannote[2265].end 26236.85909375
transcript.pyannote[2266].speaker SPEAKER_09
transcript.pyannote[2266].start 26237.28096875
transcript.pyannote[2266].end 26238.36096875
transcript.pyannote[2267].speaker SPEAKER_09
transcript.pyannote[2267].start 26239.03596875
transcript.pyannote[2267].end 26239.27221875
transcript.pyannote[2268].speaker SPEAKER_09
transcript.pyannote[2268].start 26239.67721875
transcript.pyannote[2268].end 26240.58846875
transcript.pyannote[2269].speaker SPEAKER_09
transcript.pyannote[2269].start 26240.95971875
transcript.pyannote[2269].end 26243.05221875
transcript.pyannote[2270].speaker SPEAKER_09
transcript.pyannote[2270].start 26243.35596875
transcript.pyannote[2270].end 26243.96346875
transcript.pyannote[2271].speaker SPEAKER_02
transcript.pyannote[2271].start 26243.96346875
transcript.pyannote[2271].end 26243.99721875
transcript.pyannote[2272].speaker SPEAKER_09
transcript.pyannote[2272].start 26243.99721875
transcript.pyannote[2272].end 26244.03096875
transcript.pyannote[2273].speaker SPEAKER_03
transcript.pyannote[2273].start 26244.03096875
transcript.pyannote[2273].end 26244.31784375
transcript.pyannote[2274].speaker SPEAKER_09
transcript.pyannote[2274].start 26244.31784375
transcript.pyannote[2274].end 26245.39784375
transcript.pyannote[2275].speaker SPEAKER_03
transcript.pyannote[2275].start 26244.58784375
transcript.pyannote[2275].end 26246.24159375
transcript.pyannote[2276].speaker SPEAKER_02
transcript.pyannote[2276].start 26245.39784375
transcript.pyannote[2276].end 26245.54971875
transcript.pyannote[2277].speaker SPEAKER_09
transcript.pyannote[2277].start 26245.54971875
transcript.pyannote[2277].end 26246.34284375
transcript.pyannote[2278].speaker SPEAKER_02
transcript.pyannote[2278].start 26246.24159375
transcript.pyannote[2278].end 26246.32596875
transcript.pyannote[2279].speaker SPEAKER_02
transcript.pyannote[2279].start 26246.34284375
transcript.pyannote[2279].end 26263.16721875
transcript.pyannote[2280].speaker SPEAKER_09
transcript.pyannote[2280].start 26247.99659375
transcript.pyannote[2280].end 26248.08096875
transcript.pyannote[2281].speaker SPEAKER_03
transcript.pyannote[2281].start 26248.08096875
transcript.pyannote[2281].end 26248.95846875
transcript.pyannote[2282].speaker SPEAKER_09
transcript.pyannote[2282].start 26248.95846875
transcript.pyannote[2282].end 26248.99221875
transcript.pyannote[2283].speaker SPEAKER_09
transcript.pyannote[2283].start 26263.16721875
transcript.pyannote[2283].end 26263.30221875
transcript.pyannote[2284].speaker SPEAKER_02
transcript.pyannote[2284].start 26263.30221875
transcript.pyannote[2284].end 26264.17971875
transcript.pyannote[2285].speaker SPEAKER_09
transcript.pyannote[2285].start 26264.17971875
transcript.pyannote[2285].end 26264.24721875
transcript.pyannote[2286].speaker SPEAKER_02
transcript.pyannote[2286].start 26264.24721875
transcript.pyannote[2286].end 26265.24284375
transcript.pyannote[2287].speaker SPEAKER_09
transcript.pyannote[2287].start 26264.26409375
transcript.pyannote[2287].end 26277.47721875
transcript.pyannote[2288].speaker SPEAKER_02
transcript.pyannote[2288].start 26268.75284375
transcript.pyannote[2288].end 26269.25909375
transcript.pyannote[2289].speaker SPEAKER_02
transcript.pyannote[2289].start 26277.47721875
transcript.pyannote[2289].end 26277.84846875
transcript.pyannote[2290].speaker SPEAKER_09
transcript.pyannote[2290].start 26277.73034375
transcript.pyannote[2290].end 26304.40971875
transcript.pyannote[2291].speaker SPEAKER_00
transcript.pyannote[2291].start 26291.53409375
transcript.pyannote[2291].end 26291.75346875
transcript.pyannote[2292].speaker SPEAKER_03
transcript.pyannote[2292].start 26291.75346875
transcript.pyannote[2292].end 26291.80409375
transcript.pyannote[2293].speaker SPEAKER_00
transcript.pyannote[2293].start 26291.80409375
transcript.pyannote[2293].end 26292.15846875
transcript.pyannote[2294].speaker SPEAKER_02
transcript.pyannote[2294].start 26304.40971875
transcript.pyannote[2294].end 26304.44346875
transcript.pyannote[2295].speaker SPEAKER_09
transcript.pyannote[2295].start 26305.10159375
transcript.pyannote[2295].end 26305.11846875
transcript.pyannote[2296].speaker SPEAKER_02
transcript.pyannote[2296].start 26305.11846875
transcript.pyannote[2296].end 26305.50659375
transcript.pyannote[2297].speaker SPEAKER_09
transcript.pyannote[2297].start 26305.87784375
transcript.pyannote[2297].end 26305.89471875
transcript.pyannote[2298].speaker SPEAKER_02
transcript.pyannote[2298].start 26305.89471875
transcript.pyannote[2298].end 26308.64534375
transcript.pyannote[2299].speaker SPEAKER_02
transcript.pyannote[2299].start 26308.89846875
transcript.pyannote[2299].end 26324.22096875
transcript.pyannote[2300].speaker SPEAKER_09
transcript.pyannote[2300].start 26324.22096875
transcript.pyannote[2300].end 26332.00034375
transcript.pyannote[2301].speaker SPEAKER_02
transcript.pyannote[2301].start 26324.23784375
transcript.pyannote[2301].end 26326.16159375
transcript.pyannote[2302].speaker SPEAKER_09
transcript.pyannote[2302].start 26332.52346875
transcript.pyannote[2302].end 26350.42784375
transcript.pyannote[2303].speaker SPEAKER_09
transcript.pyannote[2303].start 26351.00159375
transcript.pyannote[2303].end 26352.43596875
transcript.pyannote[2304].speaker SPEAKER_09
transcript.pyannote[2304].start 26352.63846875
transcript.pyannote[2304].end 26357.97096875
transcript.pyannote[2305].speaker SPEAKER_02
transcript.pyannote[2305].start 26356.41846875
transcript.pyannote[2305].end 26356.63784375
transcript.pyannote[2306].speaker SPEAKER_02
transcript.pyannote[2306].start 26357.97096875
transcript.pyannote[2306].end 26389.27409375
transcript.pyannote[2307].speaker SPEAKER_03
transcript.pyannote[2307].start 26372.39909375
transcript.pyannote[2307].end 26373.78284375
transcript.pyannote[2308].speaker SPEAKER_09
transcript.pyannote[2308].start 26373.78284375
transcript.pyannote[2308].end 26373.79971875
transcript.pyannote[2309].speaker SPEAKER_02
transcript.pyannote[2309].start 26389.30784375
transcript.pyannote[2309].end 26392.02471875
transcript.pyannote[2310].speaker SPEAKER_09
transcript.pyannote[2310].start 26392.02471875
transcript.pyannote[2310].end 26396.49659375
transcript.pyannote[2311].speaker SPEAKER_02
transcript.pyannote[2311].start 26392.95284375
transcript.pyannote[2311].end 26393.39159375
transcript.pyannote[2312].speaker SPEAKER_09
transcript.pyannote[2312].start 26396.51346875
transcript.pyannote[2312].end 26397.20534375
transcript.pyannote[2313].speaker SPEAKER_09
transcript.pyannote[2313].start 26397.42471875
transcript.pyannote[2313].end 26409.33846875
transcript.pyannote[2314].speaker SPEAKER_09
transcript.pyannote[2314].start 26409.40596875
transcript.pyannote[2314].end 26417.75909375
transcript.pyannote[2315].speaker SPEAKER_09
transcript.pyannote[2315].start 26418.16409375
transcript.pyannote[2315].end 26436.52409375
transcript.pyannote[2316].speaker SPEAKER_09
transcript.pyannote[2316].start 26436.97971875
transcript.pyannote[2316].end 26448.64034375
transcript.pyannote[2317].speaker SPEAKER_02
transcript.pyannote[2317].start 26449.19721875
transcript.pyannote[2317].end 26449.36596875
transcript.pyannote[2318].speaker SPEAKER_02
transcript.pyannote[2318].start 26449.65284375
transcript.pyannote[2318].end 26454.09096875
transcript.pyannote[2319].speaker SPEAKER_02
transcript.pyannote[2319].start 26454.31034375
transcript.pyannote[2319].end 26483.36909375
transcript.pyannote[2320].speaker SPEAKER_09
transcript.pyannote[2320].start 26481.22596875
transcript.pyannote[2320].end 26481.58034375
transcript.pyannote[2321].speaker SPEAKER_02
transcript.pyannote[2321].start 26483.72346875
transcript.pyannote[2321].end 26489.03909375
transcript.pyannote[2322].speaker SPEAKER_09
transcript.pyannote[2322].start 26489.03909375
transcript.pyannote[2322].end 26495.58659375
transcript.pyannote[2323].speaker SPEAKER_09
transcript.pyannote[2323].start 26495.68784375
transcript.pyannote[2323].end 26500.07534375
transcript.pyannote[2324].speaker SPEAKER_09
transcript.pyannote[2324].start 26500.98659375
transcript.pyannote[2324].end 26516.46096875
transcript.pyannote[2325].speaker SPEAKER_09
transcript.pyannote[2325].start 26517.23721875
transcript.pyannote[2325].end 26519.73471875
transcript.pyannote[2326].speaker SPEAKER_02
transcript.pyannote[2326].start 26518.75596875
transcript.pyannote[2326].end 26521.50659375
transcript.pyannote[2327].speaker SPEAKER_09
transcript.pyannote[2327].start 26521.13534375
transcript.pyannote[2327].end 26540.89596875
transcript.pyannote[2328].speaker SPEAKER_09
transcript.pyannote[2328].start 26541.53721875
transcript.pyannote[2328].end 26542.38096875
transcript.pyannote[2329].speaker SPEAKER_09
transcript.pyannote[2329].start 26542.88721875
transcript.pyannote[2329].end 26556.15096875
transcript.pyannote[2330].speaker SPEAKER_09
transcript.pyannote[2330].start 26556.42096875
transcript.pyannote[2330].end 26564.35221875
transcript.pyannote[2331].speaker SPEAKER_09
transcript.pyannote[2331].start 26564.68971875
transcript.pyannote[2331].end 26566.59659375
transcript.pyannote[2332].speaker SPEAKER_09
transcript.pyannote[2332].start 26567.15346875
transcript.pyannote[2332].end 26577.12659375
transcript.pyannote[2333].speaker SPEAKER_09
transcript.pyannote[2333].start 26577.53159375
transcript.pyannote[2333].end 26591.85846875
transcript.pyannote[2334].speaker SPEAKER_02
transcript.pyannote[2334].start 26592.66846875
transcript.pyannote[2334].end 26593.88346875
transcript.pyannote[2335].speaker SPEAKER_02
transcript.pyannote[2335].start 26594.27159375
transcript.pyannote[2335].end 26594.89596875
transcript.pyannote[2336].speaker SPEAKER_02
transcript.pyannote[2336].start 26595.13221875
transcript.pyannote[2336].end 26598.06846875
transcript.pyannote[2337].speaker SPEAKER_02
transcript.pyannote[2337].start 26598.37221875
transcript.pyannote[2337].end 26602.59096875
transcript.pyannote[2338].speaker SPEAKER_02
transcript.pyannote[2338].start 26602.75971875
transcript.pyannote[2338].end 26609.22284375
transcript.pyannote[2339].speaker SPEAKER_09
transcript.pyannote[2339].start 26606.40471875
transcript.pyannote[2339].end 26607.29909375
transcript.pyannote[2340].speaker SPEAKER_09
transcript.pyannote[2340].start 26607.73784375
transcript.pyannote[2340].end 26607.97409375
transcript.pyannote[2341].speaker SPEAKER_09
transcript.pyannote[2341].start 26608.14284375
transcript.pyannote[2341].end 26608.46346875
transcript.pyannote[2342].speaker SPEAKER_09
transcript.pyannote[2342].start 26608.63221875
transcript.pyannote[2342].end 26608.69971875
transcript.pyannote[2343].speaker SPEAKER_02
transcript.pyannote[2343].start 26610.01596875
transcript.pyannote[2343].end 26610.62346875
transcript.pyannote[2344].speaker SPEAKER_02
transcript.pyannote[2344].start 26611.04534375
transcript.pyannote[2344].end 26613.44159375
transcript.pyannote[2345].speaker SPEAKER_02
transcript.pyannote[2345].start 26613.67784375
transcript.pyannote[2345].end 26614.40346875
transcript.pyannote[2346].speaker SPEAKER_02
transcript.pyannote[2346].start 26615.29784375
transcript.pyannote[2346].end 26617.66034375
transcript.pyannote[2347].speaker SPEAKER_02
transcript.pyannote[2347].start 26618.11596875
transcript.pyannote[2347].end 26634.02909375
transcript.pyannote[2348].speaker SPEAKER_09
transcript.pyannote[2348].start 26621.89596875
transcript.pyannote[2348].end 26625.96284375
transcript.pyannote[2349].speaker SPEAKER_09
transcript.pyannote[2349].start 26634.02909375
transcript.pyannote[2349].end 26646.01034375
transcript.pyannote[2350].speaker SPEAKER_09
transcript.pyannote[2350].start 26646.26346875
transcript.pyannote[2350].end 26650.90409375
transcript.pyannote[2351].speaker SPEAKER_09
transcript.pyannote[2351].start 26650.95471875
transcript.pyannote[2351].end 26656.21971875
transcript.pyannote[2352].speaker SPEAKER_09
transcript.pyannote[2352].start 26656.67534375
transcript.pyannote[2352].end 26691.30284375
transcript.pyannote[2353].speaker SPEAKER_02
transcript.pyannote[2353].start 26691.40409375
transcript.pyannote[2353].end 26698.17096875
transcript.pyannote[2354].speaker SPEAKER_09
transcript.pyannote[2354].start 26698.37346875
transcript.pyannote[2354].end 26718.30284375
transcript.pyannote[2355].speaker SPEAKER_02
transcript.pyannote[2355].start 26719.23096875
transcript.pyannote[2355].end 26721.05346875
transcript.pyannote[2356].speaker SPEAKER_02
transcript.pyannote[2356].start 26721.07034375
transcript.pyannote[2356].end 26725.77846875
transcript.pyannote[2357].speaker SPEAKER_09
transcript.pyannote[2357].start 26725.27221875
transcript.pyannote[2357].end 26725.82909375
transcript.pyannote[2358].speaker SPEAKER_02
transcript.pyannote[2358].start 26725.82909375
transcript.pyannote[2358].end 26726.08221875
transcript.pyannote[2359].speaker SPEAKER_09
transcript.pyannote[2359].start 26726.08221875
transcript.pyannote[2359].end 26726.82471875
transcript.pyannote[2360].speaker SPEAKER_02
transcript.pyannote[2360].start 26726.82471875
transcript.pyannote[2360].end 26726.89221875
transcript.pyannote[2361].speaker SPEAKER_09
transcript.pyannote[2361].start 26726.89221875
transcript.pyannote[2361].end 26729.79471875
transcript.pyannote[2362].speaker SPEAKER_02
transcript.pyannote[2362].start 26726.90909375
transcript.pyannote[2362].end 26728.90034375
transcript.pyannote[2363].speaker SPEAKER_09
transcript.pyannote[2363].start 26730.14909375
transcript.pyannote[2363].end 26733.84471875
transcript.pyannote[2364].speaker SPEAKER_02
transcript.pyannote[2364].start 26734.68846875
transcript.pyannote[2364].end 26735.85284375
transcript.pyannote[2365].speaker SPEAKER_09
transcript.pyannote[2365].start 26736.24096875
transcript.pyannote[2365].end 26737.48971875
transcript.pyannote[2366].speaker SPEAKER_09
transcript.pyannote[2366].start 26737.62471875
transcript.pyannote[2366].end 26737.65846875
transcript.pyannote[2367].speaker SPEAKER_09
transcript.pyannote[2367].start 26737.89471875
transcript.pyannote[2367].end 26739.24471875
transcript.pyannote[2368].speaker SPEAKER_02
transcript.pyannote[2368].start 26739.59909375
transcript.pyannote[2368].end 26740.40909375
transcript.pyannote[2369].speaker SPEAKER_02
transcript.pyannote[2369].start 26740.83096875
transcript.pyannote[2369].end 26741.94471875
transcript.pyannote[2370].speaker SPEAKER_02
transcript.pyannote[2370].start 26742.48471875
transcript.pyannote[2370].end 26758.41471875
transcript.pyannote[2371].speaker SPEAKER_09
transcript.pyannote[2371].start 26758.41471875
transcript.pyannote[2371].end 26758.65096875
transcript.pyannote[2372].speaker SPEAKER_02
transcript.pyannote[2372].start 26758.65096875
transcript.pyannote[2372].end 26760.03471875
transcript.pyannote[2373].speaker SPEAKER_09
transcript.pyannote[2373].start 26760.03471875
transcript.pyannote[2373].end 26766.71721875
transcript.pyannote[2374].speaker SPEAKER_09
transcript.pyannote[2374].start 26767.42596875
transcript.pyannote[2374].end 26770.17659375
transcript.pyannote[2375].speaker SPEAKER_09
transcript.pyannote[2375].start 26770.80096875
transcript.pyannote[2375].end 26777.58471875
transcript.pyannote[2376].speaker SPEAKER_09
transcript.pyannote[2376].start 26777.75346875
transcript.pyannote[2376].end 26785.16159375
transcript.pyannote[2377].speaker SPEAKER_02
transcript.pyannote[2377].start 26784.67221875
transcript.pyannote[2377].end 26785.14471875
transcript.pyannote[2378].speaker SPEAKER_02
transcript.pyannote[2378].start 26785.16159375
transcript.pyannote[2378].end 26785.65096875
transcript.pyannote[2379].speaker SPEAKER_09
transcript.pyannote[2379].start 26785.44846875
transcript.pyannote[2379].end 26793.71721875
transcript.pyannote[2380].speaker SPEAKER_09
transcript.pyannote[2380].start 26793.81846875
transcript.pyannote[2380].end 26793.83534375
transcript.pyannote[2381].speaker SPEAKER_03
transcript.pyannote[2381].start 26793.83534375
transcript.pyannote[2381].end 26794.00409375
transcript.pyannote[2382].speaker SPEAKER_09
transcript.pyannote[2382].start 26794.00409375
transcript.pyannote[2382].end 26815.14846875
transcript.pyannote[2383].speaker SPEAKER_03
transcript.pyannote[2383].start 26794.02096875
transcript.pyannote[2383].end 26794.27409375
transcript.pyannote[2384].speaker SPEAKER_03
transcript.pyannote[2384].start 26815.67159375
transcript.pyannote[2384].end 26815.72221875
transcript.pyannote[2385].speaker SPEAKER_09
transcript.pyannote[2385].start 26815.72221875
transcript.pyannote[2385].end 26819.31659375
transcript.pyannote[2386].speaker SPEAKER_03
transcript.pyannote[2386].start 26815.78971875
transcript.pyannote[2386].end 26816.27909375
transcript.pyannote[2387].speaker SPEAKER_09
transcript.pyannote[2387].start 26819.89034375
transcript.pyannote[2387].end 26820.37971875
transcript.pyannote[2388].speaker SPEAKER_09
transcript.pyannote[2388].start 26820.70034375
transcript.pyannote[2388].end 26821.57784375
transcript.pyannote[2389].speaker SPEAKER_09
transcript.pyannote[2389].start 26823.18096875
transcript.pyannote[2389].end 26825.71221875
transcript.pyannote[2390].speaker SPEAKER_03
transcript.pyannote[2390].start 26825.71221875
transcript.pyannote[2390].end 26825.79659375
transcript.pyannote[2391].speaker SPEAKER_09
transcript.pyannote[2391].start 26825.79659375
transcript.pyannote[2391].end 26834.77409375
transcript.pyannote[2392].speaker SPEAKER_09
transcript.pyannote[2392].start 26835.61784375
transcript.pyannote[2392].end 26836.83284375
transcript.pyannote[2393].speaker SPEAKER_08
transcript.pyannote[2393].start 26837.01846875
transcript.pyannote[2393].end 26837.03534375
transcript.pyannote[2394].speaker SPEAKER_03
transcript.pyannote[2394].start 26837.03534375
transcript.pyannote[2394].end 26837.40659375
transcript.pyannote[2395].speaker SPEAKER_09
transcript.pyannote[2395].start 26837.76096875
transcript.pyannote[2395].end 26840.93346875
transcript.pyannote[2396].speaker SPEAKER_09
transcript.pyannote[2396].start 26841.49034375
transcript.pyannote[2396].end 26845.25346875
transcript.pyannote[2397].speaker SPEAKER_09
transcript.pyannote[2397].start 26845.87784375
transcript.pyannote[2397].end 26852.18909375
transcript.pyannote[2398].speaker SPEAKER_02
transcript.pyannote[2398].start 26852.18909375
transcript.pyannote[2398].end 26852.29034375
transcript.pyannote[2399].speaker SPEAKER_02
transcript.pyannote[2399].start 26852.44221875
transcript.pyannote[2399].end 26852.84721875
transcript.pyannote[2400].speaker SPEAKER_02
transcript.pyannote[2400].start 26853.47159375
transcript.pyannote[2400].end 26857.79159375
transcript.pyannote[2401].speaker SPEAKER_02
transcript.pyannote[2401].start 26858.29784375
transcript.pyannote[2401].end 26864.69346875
transcript.pyannote[2402].speaker SPEAKER_02
transcript.pyannote[2402].start 26864.92971875
transcript.pyannote[2402].end 26877.94034375
transcript.pyannote[2403].speaker SPEAKER_00
transcript.pyannote[2403].start 26867.12346875
transcript.pyannote[2403].end 26867.37659375
transcript.pyannote[2404].speaker SPEAKER_03
transcript.pyannote[2404].start 26875.91534375
transcript.pyannote[2404].end 26877.31596875
transcript.pyannote[2405].speaker SPEAKER_03
transcript.pyannote[2405].start 26877.82221875
transcript.pyannote[2405].end 26877.83909375
transcript.pyannote[2406].speaker SPEAKER_03
transcript.pyannote[2406].start 26877.85596875
transcript.pyannote[2406].end 26877.90659375
transcript.pyannote[2407].speaker SPEAKER_03
transcript.pyannote[2407].start 26877.94034375
transcript.pyannote[2407].end 26878.14284375
transcript.pyannote[2408].speaker SPEAKER_02
transcript.pyannote[2408].start 26878.14284375
transcript.pyannote[2408].end 26892.04784375
transcript.pyannote[2409].speaker SPEAKER_09
transcript.pyannote[2409].start 26887.47471875
transcript.pyannote[2409].end 26888.20034375
transcript.pyannote[2410].speaker SPEAKER_02
transcript.pyannote[2410].start 26892.19971875
transcript.pyannote[2410].end 26903.03346875
transcript.pyannote[2411].speaker SPEAKER_09
transcript.pyannote[2411].start 26892.26721875
transcript.pyannote[2411].end 26893.63409375
transcript.pyannote[2412].speaker SPEAKER_09
transcript.pyannote[2412].start 26901.31221875
transcript.pyannote[2412].end 26901.32909375
transcript.pyannote[2413].speaker SPEAKER_03
transcript.pyannote[2413].start 26901.32909375
transcript.pyannote[2413].end 26901.34596875
transcript.pyannote[2414].speaker SPEAKER_09
transcript.pyannote[2414].start 26901.34596875
transcript.pyannote[2414].end 26901.91971875
transcript.pyannote[2415].speaker SPEAKER_03
transcript.pyannote[2415].start 26901.91971875
transcript.pyannote[2415].end 26901.98721875
transcript.pyannote[2416].speaker SPEAKER_09
transcript.pyannote[2416].start 26903.03346875
transcript.pyannote[2416].end 26905.21034375
transcript.pyannote[2417].speaker SPEAKER_03
transcript.pyannote[2417].start 26905.15971875
transcript.pyannote[2417].end 26905.59846875
transcript.pyannote[2418].speaker SPEAKER_09
transcript.pyannote[2418].start 26905.49721875
transcript.pyannote[2418].end 26926.91159375
transcript.pyannote[2419].speaker SPEAKER_09
transcript.pyannote[2419].start 26927.60346875
transcript.pyannote[2419].end 26937.15471875
transcript.pyannote[2420].speaker SPEAKER_02
transcript.pyannote[2420].start 26937.39096875
transcript.pyannote[2420].end 26942.72346875
transcript.pyannote[2421].speaker SPEAKER_09
transcript.pyannote[2421].start 26938.65659375
transcript.pyannote[2421].end 26939.50034375
transcript.pyannote[2422].speaker SPEAKER_02
transcript.pyannote[2422].start 26942.90909375
transcript.pyannote[2422].end 26944.36034375
transcript.pyannote[2423].speaker SPEAKER_02
transcript.pyannote[2423].start 26944.83284375
transcript.pyannote[2423].end 26957.28659375
transcript.pyannote[2424].speaker SPEAKER_09
transcript.pyannote[2424].start 26950.38471875
transcript.pyannote[2424].end 26951.90346875
transcript.pyannote[2425].speaker SPEAKER_02
transcript.pyannote[2425].start 26957.45534375
transcript.pyannote[2425].end 26957.50596875
transcript.pyannote[2426].speaker SPEAKER_09
transcript.pyannote[2426].start 26957.50596875
transcript.pyannote[2426].end 26958.07971875
transcript.pyannote[2427].speaker SPEAKER_02
transcript.pyannote[2427].start 26958.07971875
transcript.pyannote[2427].end 26958.11346875
transcript.pyannote[2428].speaker SPEAKER_03
transcript.pyannote[2428].start 26958.11346875
transcript.pyannote[2428].end 26958.46784375
transcript.pyannote[2429].speaker SPEAKER_09
transcript.pyannote[2429].start 26959.36221875
transcript.pyannote[2429].end 26974.12784375
transcript.pyannote[2430].speaker SPEAKER_03
transcript.pyannote[2430].start 26963.32784375
transcript.pyannote[2430].end 26964.96471875
transcript.pyannote[2431].speaker SPEAKER_02
transcript.pyannote[2431].start 26964.96471875
transcript.pyannote[2431].end 26966.95596875
transcript.pyannote[2432].speaker SPEAKER_09
transcript.pyannote[2432].start 26974.85346875
transcript.pyannote[2432].end 26977.50284375
transcript.pyannote[2433].speaker SPEAKER_09
transcript.pyannote[2433].start 26978.75159375
transcript.pyannote[2433].end 26980.11846875
transcript.pyannote[2434].speaker SPEAKER_09
transcript.pyannote[2434].start 26980.99596875
transcript.pyannote[2434].end 26983.05471875
transcript.pyannote[2435].speaker SPEAKER_09
transcript.pyannote[2435].start 26983.45971875
transcript.pyannote[2435].end 26984.86034375
transcript.pyannote[2436].speaker SPEAKER_09
transcript.pyannote[2436].start 26984.99534375
transcript.pyannote[2436].end 26985.26534375
transcript.pyannote[2437].speaker SPEAKER_09
transcript.pyannote[2437].start 26985.67034375
transcript.pyannote[2437].end 26986.59846875
transcript.pyannote[2438].speaker SPEAKER_09
transcript.pyannote[2438].start 26987.81346875
transcript.pyannote[2438].end 26987.94846875
transcript.pyannote[2439].speaker SPEAKER_09
transcript.pyannote[2439].start 26988.58971875
transcript.pyannote[2439].end 26991.03659375
transcript.pyannote[2440].speaker SPEAKER_09
transcript.pyannote[2440].start 26991.81284375
transcript.pyannote[2440].end 27003.10221875
transcript.pyannote[2441].speaker SPEAKER_02
transcript.pyannote[2441].start 26991.94784375
transcript.pyannote[2441].end 26992.74096875
transcript.pyannote[2442].speaker SPEAKER_02
transcript.pyannote[2442].start 26996.48721875
transcript.pyannote[2442].end 26996.74034375
transcript.pyannote[2443].speaker SPEAKER_09
transcript.pyannote[2443].start 27003.47346875
transcript.pyannote[2443].end 27007.96221875
transcript.pyannote[2444].speaker SPEAKER_09
transcript.pyannote[2444].start 27008.51909375
transcript.pyannote[2444].end 27015.42096875
transcript.pyannote[2445].speaker SPEAKER_02
transcript.pyannote[2445].start 27016.07909375
transcript.pyannote[2445].end 27017.49659375
transcript.pyannote[2446].speaker SPEAKER_09
transcript.pyannote[2446].start 27020.53409375
transcript.pyannote[2446].end 27021.29346875
transcript.pyannote[2447].speaker SPEAKER_02
transcript.pyannote[2447].start 27021.29346875
transcript.pyannote[2447].end 27021.44534375
transcript.pyannote[2448].speaker SPEAKER_09
transcript.pyannote[2448].start 27021.44534375
transcript.pyannote[2448].end 27021.46221875
transcript.pyannote[2449].speaker SPEAKER_09
transcript.pyannote[2449].start 27022.00221875
transcript.pyannote[2449].end 27026.99721875
transcript.pyannote[2450].speaker SPEAKER_09
transcript.pyannote[2450].start 27027.58784375
transcript.pyannote[2450].end 27028.92096875
transcript.pyannote[2451].speaker SPEAKER_09
transcript.pyannote[2451].start 27029.74784375
transcript.pyannote[2451].end 27030.38909375
transcript.pyannote[2452].speaker SPEAKER_09
transcript.pyannote[2452].start 27031.48596875
transcript.pyannote[2452].end 27033.07221875
transcript.pyannote[2453].speaker SPEAKER_09
transcript.pyannote[2453].start 27033.39284375
transcript.pyannote[2453].end 27062.01284375
transcript.pyannote[2454].speaker SPEAKER_09
transcript.pyannote[2454].start 27062.24909375
transcript.pyannote[2454].end 27063.09284375
transcript.pyannote[2455].speaker SPEAKER_09
transcript.pyannote[2455].start 27063.54846875
transcript.pyannote[2455].end 27072.39096875
transcript.pyannote[2456].speaker SPEAKER_09
transcript.pyannote[2456].start 27073.13346875
transcript.pyannote[2456].end 27076.03596875
transcript.pyannote[2457].speaker SPEAKER_09
transcript.pyannote[2457].start 27076.49159375
transcript.pyannote[2457].end 27078.09471875
transcript.pyannote[2458].speaker SPEAKER_09
transcript.pyannote[2458].start 27078.46596875
transcript.pyannote[2458].end 27079.68096875
transcript.pyannote[2459].speaker SPEAKER_09
transcript.pyannote[2459].start 27080.17034375
transcript.pyannote[2459].end 27082.02659375
transcript.pyannote[2460].speaker SPEAKER_09
transcript.pyannote[2460].start 27082.26284375
transcript.pyannote[2460].end 27094.69971875
transcript.pyannote[2461].speaker SPEAKER_09
transcript.pyannote[2461].start 27095.22284375
transcript.pyannote[2461].end 27111.03471875
transcript.pyannote[2462].speaker SPEAKER_09
transcript.pyannote[2462].start 27111.10221875
transcript.pyannote[2462].end 27114.96659375
transcript.pyannote[2463].speaker SPEAKER_09
transcript.pyannote[2463].start 27115.40534375
transcript.pyannote[2463].end 27117.70034375
transcript.pyannote[2464].speaker SPEAKER_09
transcript.pyannote[2464].start 27118.22346875
transcript.pyannote[2464].end 27124.36596875
transcript.pyannote[2465].speaker SPEAKER_02
transcript.pyannote[2465].start 27124.36596875
transcript.pyannote[2465].end 27134.28846875
transcript.pyannote[2466].speaker SPEAKER_09
transcript.pyannote[2466].start 27127.50471875
transcript.pyannote[2466].end 27128.73659375
transcript.pyannote[2467].speaker SPEAKER_09
transcript.pyannote[2467].start 27134.28846875
transcript.pyannote[2467].end 27144.97034375
transcript.pyannote[2468].speaker SPEAKER_02
transcript.pyannote[2468].start 27134.30534375
transcript.pyannote[2468].end 27136.63409375
transcript.pyannote[2469].speaker SPEAKER_09
transcript.pyannote[2469].start 27145.56096875
transcript.pyannote[2469].end 27148.48034375
transcript.pyannote[2470].speaker SPEAKER_02
transcript.pyannote[2470].start 27149.13846875
transcript.pyannote[2470].end 27152.61471875
transcript.pyannote[2471].speaker SPEAKER_05
transcript.pyannote[2471].start 27168.74721875
transcript.pyannote[2471].end 27172.45971875
transcript.pyannote[2472].speaker SPEAKER_05
transcript.pyannote[2472].start 27173.32034375
transcript.pyannote[2472].end 27174.24846875
transcript.pyannote[2473].speaker SPEAKER_05
transcript.pyannote[2473].start 27174.40034375
transcript.pyannote[2473].end 27176.64471875
transcript.pyannote[2474].speaker SPEAKER_05
transcript.pyannote[2474].start 27177.04971875
transcript.pyannote[2474].end 27180.47534375
transcript.pyannote[2475].speaker SPEAKER_05
transcript.pyannote[2475].start 27180.72846875
transcript.pyannote[2475].end 27185.11596875
transcript.pyannote[2476].speaker SPEAKER_05
transcript.pyannote[2476].start 27186.48284375
transcript.pyannote[2476].end 27187.73159375
transcript.pyannote[2477].speaker SPEAKER_05
transcript.pyannote[2477].start 27190.36409375
transcript.pyannote[2477].end 27196.40534375
transcript.pyannote[2478].speaker SPEAKER_05
transcript.pyannote[2478].start 27196.91159375
transcript.pyannote[2478].end 27206.12534375
transcript.pyannote[2479].speaker SPEAKER_08
transcript.pyannote[2479].start 27214.84971875
transcript.pyannote[2479].end 27216.95909375
transcript.pyannote[2480].speaker SPEAKER_08
transcript.pyannote[2480].start 27217.38096875
transcript.pyannote[2480].end 27218.30909375
transcript.pyannote[2481].speaker SPEAKER_08
transcript.pyannote[2481].start 27218.74784375
transcript.pyannote[2481].end 27219.54096875
transcript.pyannote[2482].speaker SPEAKER_08
transcript.pyannote[2482].start 27220.21596875
transcript.pyannote[2482].end 27220.80659375
transcript.pyannote[2483].speaker SPEAKER_05
transcript.pyannote[2483].start 27221.31284375
transcript.pyannote[2483].end 27222.64596875
transcript.pyannote[2484].speaker SPEAKER_05
transcript.pyannote[2484].start 27228.43409375
transcript.pyannote[2484].end 27228.45096875
transcript.pyannote[2485].speaker SPEAKER_02
transcript.pyannote[2485].start 27228.45096875
transcript.pyannote[2485].end 27229.12596875
transcript.pyannote[2486].speaker SPEAKER_08
transcript.pyannote[2486].start 27229.61534375
transcript.pyannote[2486].end 27231.77534375
transcript.pyannote[2487].speaker SPEAKER_02
transcript.pyannote[2487].start 27232.11284375
transcript.pyannote[2487].end 27233.64846875
transcript.pyannote[2488].speaker SPEAKER_08
transcript.pyannote[2488].start 27232.80471875
transcript.pyannote[2488].end 27233.63159375
transcript.pyannote[2489].speaker SPEAKER_08
transcript.pyannote[2489].start 27233.64846875
transcript.pyannote[2489].end 27235.26846875
transcript.pyannote[2490].speaker SPEAKER_02
transcript.pyannote[2490].start 27235.40346875
transcript.pyannote[2490].end 27236.19659375
transcript.pyannote[2491].speaker SPEAKER_08
transcript.pyannote[2491].start 27235.57221875
transcript.pyannote[2491].end 27237.69846875
transcript.pyannote[2492].speaker SPEAKER_02
transcript.pyannote[2492].start 27237.69846875
transcript.pyannote[2492].end 27240.58409375
transcript.pyannote[2493].speaker SPEAKER_08
transcript.pyannote[2493].start 27237.73221875
transcript.pyannote[2493].end 27237.74909375
transcript.pyannote[2494].speaker SPEAKER_08
transcript.pyannote[2494].start 27237.88409375
transcript.pyannote[2494].end 27238.87971875
transcript.pyannote[2495].speaker SPEAKER_02
transcript.pyannote[2495].start 27240.85409375
transcript.pyannote[2495].end 27241.02284375
transcript.pyannote[2496].speaker SPEAKER_02
transcript.pyannote[2496].start 27241.03971875
transcript.pyannote[2496].end 27241.22534375
transcript.pyannote[2497].speaker SPEAKER_08
transcript.pyannote[2497].start 27241.64721875
transcript.pyannote[2497].end 27245.03909375
transcript.pyannote[2498].speaker SPEAKER_08
transcript.pyannote[2498].start 27245.41034375
transcript.pyannote[2498].end 27247.45221875
transcript.pyannote[2499].speaker SPEAKER_08
transcript.pyannote[2499].start 27247.77284375
transcript.pyannote[2499].end 27248.39721875
transcript.pyannote[2500].speaker SPEAKER_08
transcript.pyannote[2500].start 27248.93721875
transcript.pyannote[2500].end 27250.30409375
transcript.pyannote[2501].speaker SPEAKER_08
transcript.pyannote[2501].start 27250.79346875
transcript.pyannote[2501].end 27253.88159375
transcript.pyannote[2502].speaker SPEAKER_08
transcript.pyannote[2502].start 27254.74221875
transcript.pyannote[2502].end 27256.00784375
transcript.pyannote[2503].speaker SPEAKER_02
transcript.pyannote[2503].start 27256.41284375
transcript.pyannote[2503].end 27259.70346875
transcript.pyannote[2504].speaker SPEAKER_08
transcript.pyannote[2504].start 27257.07096875
transcript.pyannote[2504].end 27258.35346875
transcript.pyannote[2505].speaker SPEAKER_08
transcript.pyannote[2505].start 27259.70346875
transcript.pyannote[2505].end 27262.08284375
transcript.pyannote[2506].speaker SPEAKER_02
transcript.pyannote[2506].start 27262.69034375
transcript.pyannote[2506].end 27264.58034375
transcript.pyannote[2507].speaker SPEAKER_08
transcript.pyannote[2507].start 27262.99409375
transcript.pyannote[2507].end 27263.87159375
transcript.pyannote[2508].speaker SPEAKER_08
transcript.pyannote[2508].start 27265.01909375
transcript.pyannote[2508].end 27265.50846875
transcript.pyannote[2509].speaker SPEAKER_08
transcript.pyannote[2509].start 27265.76159375
transcript.pyannote[2509].end 27267.73596875
transcript.pyannote[2510].speaker SPEAKER_02
transcript.pyannote[2510].start 27268.36034375
transcript.pyannote[2510].end 27269.49096875
transcript.pyannote[2511].speaker SPEAKER_02
transcript.pyannote[2511].start 27269.89596875
transcript.pyannote[2511].end 27279.21096875
transcript.pyannote[2512].speaker SPEAKER_08
transcript.pyannote[2512].start 27277.92846875
transcript.pyannote[2512].end 27282.46784375
transcript.pyannote[2513].speaker SPEAKER_08
transcript.pyannote[2513].start 27283.07534375
transcript.pyannote[2513].end 27284.69534375
transcript.pyannote[2514].speaker SPEAKER_08
transcript.pyannote[2514].start 27284.76284375
transcript.pyannote[2514].end 27288.42471875
transcript.pyannote[2515].speaker SPEAKER_02
transcript.pyannote[2515].start 27289.01534375
transcript.pyannote[2515].end 27292.06971875
transcript.pyannote[2516].speaker SPEAKER_02
transcript.pyannote[2516].start 27292.45784375
transcript.pyannote[2516].end 27299.79846875
transcript.pyannote[2517].speaker SPEAKER_08
transcript.pyannote[2517].start 27299.27534375
transcript.pyannote[2517].end 27304.23659375
transcript.pyannote[2518].speaker SPEAKER_02
transcript.pyannote[2518].start 27304.74284375
transcript.pyannote[2518].end 27323.11971875
transcript.pyannote[2519].speaker SPEAKER_08
transcript.pyannote[2519].start 27308.05034375
transcript.pyannote[2519].end 27308.67471875
transcript.pyannote[2520].speaker SPEAKER_08
transcript.pyannote[2520].start 27309.16409375
transcript.pyannote[2520].end 27310.98659375
transcript.pyannote[2521].speaker SPEAKER_08
transcript.pyannote[2521].start 27315.96471875
transcript.pyannote[2521].end 27317.17971875
transcript.pyannote[2522].speaker SPEAKER_08
transcript.pyannote[2522].start 27324.31784375
transcript.pyannote[2522].end 27338.49284375
transcript.pyannote[2523].speaker SPEAKER_02
transcript.pyannote[2523].start 27326.46096875
transcript.pyannote[2523].end 27327.86159375
transcript.pyannote[2524].speaker SPEAKER_00
transcript.pyannote[2524].start 27327.86159375
transcript.pyannote[2524].end 27328.11471875
transcript.pyannote[2525].speaker SPEAKER_02
transcript.pyannote[2525].start 27329.53221875
transcript.pyannote[2525].end 27329.98784375
transcript.pyannote[2526].speaker SPEAKER_00
transcript.pyannote[2526].start 27329.98784375
transcript.pyannote[2526].end 27330.12284375
transcript.pyannote[2527].speaker SPEAKER_00
transcript.pyannote[2527].start 27331.74284375
transcript.pyannote[2527].end 27332.02971875
transcript.pyannote[2528].speaker SPEAKER_03
transcript.pyannote[2528].start 27332.02971875
transcript.pyannote[2528].end 27332.58659375
transcript.pyannote[2529].speaker SPEAKER_08
transcript.pyannote[2529].start 27339.01596875
transcript.pyannote[2529].end 27343.25159375
transcript.pyannote[2530].speaker SPEAKER_08
transcript.pyannote[2530].start 27343.60596875
transcript.pyannote[2530].end 27350.94659375
transcript.pyannote[2531].speaker SPEAKER_08
transcript.pyannote[2531].start 27352.00971875
transcript.pyannote[2531].end 27352.43159375
transcript.pyannote[2532].speaker SPEAKER_02
transcript.pyannote[2532].start 27352.43159375
transcript.pyannote[2532].end 27356.34659375
transcript.pyannote[2533].speaker SPEAKER_08
transcript.pyannote[2533].start 27353.17409375
transcript.pyannote[2533].end 27354.42284375
transcript.pyannote[2534].speaker SPEAKER_08
transcript.pyannote[2534].start 27355.58721875
transcript.pyannote[2534].end 27359.50221875
transcript.pyannote[2535].speaker SPEAKER_02
transcript.pyannote[2535].start 27359.90721875
transcript.pyannote[2535].end 27375.63471875
transcript.pyannote[2536].speaker SPEAKER_08
transcript.pyannote[2536].start 27363.78846875
transcript.pyannote[2536].end 27365.88096875
transcript.pyannote[2537].speaker SPEAKER_08
transcript.pyannote[2537].start 27368.95221875
transcript.pyannote[2537].end 27370.52159375
transcript.pyannote[2538].speaker SPEAKER_00
transcript.pyannote[2538].start 27370.52159375
transcript.pyannote[2538].end 27370.53846875
transcript.pyannote[2539].speaker SPEAKER_08
transcript.pyannote[2539].start 27374.47034375
transcript.pyannote[2539].end 27374.84159375
transcript.pyannote[2540].speaker SPEAKER_03
transcript.pyannote[2540].start 27374.84159375
transcript.pyannote[2540].end 27375.19596875
transcript.pyannote[2541].speaker SPEAKER_08
transcript.pyannote[2541].start 27376.20846875
transcript.pyannote[2541].end 27381.45659375
transcript.pyannote[2542].speaker SPEAKER_02
transcript.pyannote[2542].start 27377.20409375
transcript.pyannote[2542].end 27377.44034375
transcript.pyannote[2543].speaker SPEAKER_02
transcript.pyannote[2543].start 27378.55409375
transcript.pyannote[2543].end 27378.97596875
transcript.pyannote[2544].speaker SPEAKER_08
transcript.pyannote[2544].start 27381.77721875
transcript.pyannote[2544].end 27394.75409375
transcript.pyannote[2545].speaker SPEAKER_03
transcript.pyannote[2545].start 27382.41846875
transcript.pyannote[2545].end 27383.56596875
transcript.pyannote[2546].speaker SPEAKER_08
transcript.pyannote[2546].start 27394.78784375
transcript.pyannote[2546].end 27396.12096875
transcript.pyannote[2547].speaker SPEAKER_08
transcript.pyannote[2547].start 27396.47534375
transcript.pyannote[2547].end 27399.00659375
transcript.pyannote[2548].speaker SPEAKER_08
transcript.pyannote[2548].start 27399.42846875
transcript.pyannote[2548].end 27400.23846875
transcript.pyannote[2549].speaker SPEAKER_08
transcript.pyannote[2549].start 27401.08221875
transcript.pyannote[2549].end 27402.97221875
transcript.pyannote[2550].speaker SPEAKER_08
transcript.pyannote[2550].start 27403.29284375
transcript.pyannote[2550].end 27406.07721875
transcript.pyannote[2551].speaker SPEAKER_08
transcript.pyannote[2551].start 27406.29659375
transcript.pyannote[2551].end 27410.78534375
transcript.pyannote[2552].speaker SPEAKER_08
transcript.pyannote[2552].start 27410.88659375
transcript.pyannote[2552].end 27411.74721875
transcript.pyannote[2553].speaker SPEAKER_08
transcript.pyannote[2553].start 27412.08471875
transcript.pyannote[2553].end 27413.67096875
transcript.pyannote[2554].speaker SPEAKER_08
transcript.pyannote[2554].start 27414.54846875
transcript.pyannote[2554].end 27415.49346875
transcript.pyannote[2555].speaker SPEAKER_08
transcript.pyannote[2555].start 27415.89846875
transcript.pyannote[2555].end 27423.10409375
transcript.pyannote[2556].speaker SPEAKER_08
transcript.pyannote[2556].start 27423.55971875
transcript.pyannote[2556].end 27424.42034375
transcript.pyannote[2557].speaker SPEAKER_08
transcript.pyannote[2557].start 27425.34846875
transcript.pyannote[2557].end 27426.09096875
transcript.pyannote[2558].speaker SPEAKER_02
transcript.pyannote[2558].start 27427.23846875
transcript.pyannote[2558].end 27433.26284375
transcript.pyannote[2559].speaker SPEAKER_08
transcript.pyannote[2559].start 27427.32284375
transcript.pyannote[2559].end 27428.04846875
transcript.pyannote[2560].speaker SPEAKER_08
transcript.pyannote[2560].start 27429.53346875
transcript.pyannote[2560].end 27430.52909375
transcript.pyannote[2561].speaker SPEAKER_08
transcript.pyannote[2561].start 27431.49096875
transcript.pyannote[2561].end 27432.21659375
transcript.pyannote[2562].speaker SPEAKER_08
transcript.pyannote[2562].start 27432.28409375
transcript.pyannote[2562].end 27433.00971875
transcript.pyannote[2563].speaker SPEAKER_08
transcript.pyannote[2563].start 27433.80284375
transcript.pyannote[2563].end 27436.13159375
transcript.pyannote[2564].speaker SPEAKER_08
transcript.pyannote[2564].start 27436.90784375
transcript.pyannote[2564].end 27438.02159375
transcript.pyannote[2565].speaker SPEAKER_08
transcript.pyannote[2565].start 27439.11846875
transcript.pyannote[2565].end 27449.05784375
transcript.pyannote[2566].speaker SPEAKER_08
transcript.pyannote[2566].start 27449.31096875
transcript.pyannote[2566].end 27450.03659375
transcript.pyannote[2567].speaker SPEAKER_08
transcript.pyannote[2567].start 27450.27284375
transcript.pyannote[2567].end 27450.94784375
transcript.pyannote[2568].speaker SPEAKER_08
transcript.pyannote[2568].start 27451.62284375
transcript.pyannote[2568].end 27452.92221875
transcript.pyannote[2569].speaker SPEAKER_08
transcript.pyannote[2569].start 27453.49596875
transcript.pyannote[2569].end 27455.47034375
transcript.pyannote[2570].speaker SPEAKER_08
transcript.pyannote[2570].start 27455.74034375
transcript.pyannote[2570].end 27457.19159375
transcript.pyannote[2571].speaker SPEAKER_08
transcript.pyannote[2571].start 27457.39409375
transcript.pyannote[2571].end 27459.99284375
transcript.pyannote[2572].speaker SPEAKER_08
transcript.pyannote[2572].start 27460.26284375
transcript.pyannote[2572].end 27461.22471875
transcript.pyannote[2573].speaker SPEAKER_08
transcript.pyannote[2573].start 27461.49471875
transcript.pyannote[2573].end 27462.70971875
transcript.pyannote[2574].speaker SPEAKER_08
transcript.pyannote[2574].start 27463.09784375
transcript.pyannote[2574].end 27463.60409375
transcript.pyannote[2575].speaker SPEAKER_08
transcript.pyannote[2575].start 27463.80659375
transcript.pyannote[2575].end 27464.54909375
transcript.pyannote[2576].speaker SPEAKER_08
transcript.pyannote[2576].start 27466.13534375
transcript.pyannote[2576].end 27466.57409375
transcript.pyannote[2577].speaker SPEAKER_02
transcript.pyannote[2577].start 27466.57409375
transcript.pyannote[2577].end 27466.62471875
transcript.pyannote[2578].speaker SPEAKER_02
transcript.pyannote[2578].start 27467.95784375
transcript.pyannote[2578].end 27469.24034375
transcript.pyannote[2579].speaker SPEAKER_02
transcript.pyannote[2579].start 27469.39221875
transcript.pyannote[2579].end 27470.26971875
transcript.pyannote[2580].speaker SPEAKER_02
transcript.pyannote[2580].start 27470.80971875
transcript.pyannote[2580].end 27472.54784375
transcript.pyannote[2581].speaker SPEAKER_02
transcript.pyannote[2581].start 27472.75034375
transcript.pyannote[2581].end 27473.40846875
transcript.pyannote[2582].speaker SPEAKER_02
transcript.pyannote[2582].start 27473.64471875
transcript.pyannote[2582].end 27478.36971875
transcript.pyannote[2583].speaker SPEAKER_08
transcript.pyannote[2583].start 27477.50909375
transcript.pyannote[2583].end 27480.04034375
transcript.pyannote[2584].speaker SPEAKER_02
transcript.pyannote[2584].start 27479.34846875
transcript.pyannote[2584].end 27479.55096875
transcript.pyannote[2585].speaker SPEAKER_02
transcript.pyannote[2585].start 27480.22596875
transcript.pyannote[2585].end 27492.81471875
transcript.pyannote[2586].speaker SPEAKER_08
transcript.pyannote[2586].start 27485.17034375
transcript.pyannote[2586].end 27486.87471875
transcript.pyannote[2587].speaker SPEAKER_08
transcript.pyannote[2587].start 27488.22471875
transcript.pyannote[2587].end 27488.86596875
transcript.pyannote[2588].speaker SPEAKER_08
transcript.pyannote[2588].start 27490.60409375
transcript.pyannote[2588].end 27491.39721875
transcript.pyannote[2589].speaker SPEAKER_08
transcript.pyannote[2589].start 27493.21971875
transcript.pyannote[2589].end 27493.75971875
transcript.pyannote[2590].speaker SPEAKER_02
transcript.pyannote[2590].start 27494.02971875
transcript.pyannote[2590].end 27495.32909375
transcript.pyannote[2591].speaker SPEAKER_08
transcript.pyannote[2591].start 27495.26159375
transcript.pyannote[2591].end 27496.42596875
transcript.pyannote[2592].speaker SPEAKER_02
transcript.pyannote[2592].start 27496.71284375
transcript.pyannote[2592].end 27499.12596875
transcript.pyannote[2593].speaker SPEAKER_02
transcript.pyannote[2593].start 27499.42971875
transcript.pyannote[2593].end 27519.35909375
transcript.pyannote[2594].speaker SPEAKER_00
transcript.pyannote[2594].start 27505.36971875
transcript.pyannote[2594].end 27505.48784375
transcript.pyannote[2595].speaker SPEAKER_08
transcript.pyannote[2595].start 27505.48784375
transcript.pyannote[2595].end 27505.50471875
transcript.pyannote[2596].speaker SPEAKER_00
transcript.pyannote[2596].start 27505.50471875
transcript.pyannote[2596].end 27505.53846875
transcript.pyannote[2597].speaker SPEAKER_08
transcript.pyannote[2597].start 27505.53846875
transcript.pyannote[2597].end 27505.65659375
transcript.pyannote[2598].speaker SPEAKER_00
transcript.pyannote[2598].start 27505.65659375
transcript.pyannote[2598].end 27506.34846875
transcript.pyannote[2599].speaker SPEAKER_08
transcript.pyannote[2599].start 27512.94659375
transcript.pyannote[2599].end 27514.26284375
transcript.pyannote[2600].speaker SPEAKER_08
transcript.pyannote[2600].start 27515.83221875
transcript.pyannote[2600].end 27520.21971875
transcript.pyannote[2601].speaker SPEAKER_08
transcript.pyannote[2601].start 27520.59096875
transcript.pyannote[2601].end 27520.82721875
transcript.pyannote[2602].speaker SPEAKER_02
transcript.pyannote[2602].start 27520.82721875
transcript.pyannote[2602].end 27526.22721875
transcript.pyannote[2603].speaker SPEAKER_08
transcript.pyannote[2603].start 27524.64096875
transcript.pyannote[2603].end 27529.97346875
transcript.pyannote[2604].speaker SPEAKER_02
transcript.pyannote[2604].start 27527.61096875
transcript.pyannote[2604].end 27527.98221875
transcript.pyannote[2605].speaker SPEAKER_02
transcript.pyannote[2605].start 27529.97346875
transcript.pyannote[2605].end 27530.02409375
transcript.pyannote[2606].speaker SPEAKER_08
transcript.pyannote[2606].start 27530.02409375
transcript.pyannote[2606].end 27530.14221875
transcript.pyannote[2607].speaker SPEAKER_02
transcript.pyannote[2607].start 27530.14221875
transcript.pyannote[2607].end 27530.20971875
transcript.pyannote[2608].speaker SPEAKER_08
transcript.pyannote[2608].start 27530.20971875
transcript.pyannote[2608].end 27530.22659375
transcript.pyannote[2609].speaker SPEAKER_08
transcript.pyannote[2609].start 27531.07034375
transcript.pyannote[2609].end 27531.08721875
transcript.pyannote[2610].speaker SPEAKER_02
transcript.pyannote[2610].start 27531.08721875
transcript.pyannote[2610].end 27542.03909375
transcript.pyannote[2611].speaker SPEAKER_08
transcript.pyannote[2611].start 27540.21659375
transcript.pyannote[2611].end 27541.54971875
transcript.pyannote[2612].speaker SPEAKER_02
transcript.pyannote[2612].start 27542.42721875
transcript.pyannote[2612].end 27542.71409375
transcript.pyannote[2613].speaker SPEAKER_08
transcript.pyannote[2613].start 27542.78159375
transcript.pyannote[2613].end 27546.44346875
transcript.pyannote[2614].speaker SPEAKER_08
transcript.pyannote[2614].start 27546.61221875
transcript.pyannote[2614].end 27548.83971875
transcript.pyannote[2615].speaker SPEAKER_08
transcript.pyannote[2615].start 27549.31221875
transcript.pyannote[2615].end 27550.03784375
transcript.pyannote[2616].speaker SPEAKER_08
transcript.pyannote[2616].start 27550.67909375
transcript.pyannote[2616].end 27563.47034375
transcript.pyannote[2617].speaker SPEAKER_02
transcript.pyannote[2617].start 27557.14221875
transcript.pyannote[2617].end 27557.66534375
transcript.pyannote[2618].speaker SPEAKER_08
transcript.pyannote[2618].start 27564.31409375
transcript.pyannote[2618].end 27565.02284375
transcript.pyannote[2619].speaker SPEAKER_02
transcript.pyannote[2619].start 27565.02284375
transcript.pyannote[2619].end 27566.72721875
transcript.pyannote[2620].speaker SPEAKER_08
transcript.pyannote[2620].start 27566.72721875
transcript.pyannote[2620].end 27568.87034375
transcript.pyannote[2621].speaker SPEAKER_08
transcript.pyannote[2621].start 27569.20784375
transcript.pyannote[2621].end 27571.13159375
transcript.pyannote[2622].speaker SPEAKER_02
transcript.pyannote[2622].start 27571.50284375
transcript.pyannote[2622].end 27572.12721875
transcript.pyannote[2623].speaker SPEAKER_02
transcript.pyannote[2623].start 27572.95409375
transcript.pyannote[2623].end 27574.11846875
transcript.pyannote[2624].speaker SPEAKER_08
transcript.pyannote[2624].start 27575.95784375
transcript.pyannote[2624].end 27578.10096875
transcript.pyannote[2625].speaker SPEAKER_02
transcript.pyannote[2625].start 27578.50596875
transcript.pyannote[2625].end 27584.15909375
transcript.pyannote[2626].speaker SPEAKER_08
transcript.pyannote[2626].start 27582.65721875
transcript.pyannote[2626].end 27582.74159375
transcript.pyannote[2627].speaker SPEAKER_02
transcript.pyannote[2627].start 27584.80034375
transcript.pyannote[2627].end 27592.37721875
transcript.pyannote[2628].speaker SPEAKER_08
transcript.pyannote[2628].start 27592.37721875
transcript.pyannote[2628].end 27598.24971875
transcript.pyannote[2629].speaker SPEAKER_03
transcript.pyannote[2629].start 27598.55346875
transcript.pyannote[2629].end 27599.14409375
transcript.pyannote[2630].speaker SPEAKER_03
transcript.pyannote[2630].start 27599.19471875
transcript.pyannote[2630].end 27599.21159375
transcript.pyannote[2631].speaker SPEAKER_08
transcript.pyannote[2631].start 27599.21159375
transcript.pyannote[2631].end 27605.69159375
transcript.pyannote[2632].speaker SPEAKER_08
transcript.pyannote[2632].start 27606.33284375
transcript.pyannote[2632].end 27607.48034375
transcript.pyannote[2633].speaker SPEAKER_08
transcript.pyannote[2633].start 27608.17221875
transcript.pyannote[2633].end 27615.44534375
transcript.pyannote[2634].speaker SPEAKER_08
transcript.pyannote[2634].start 27616.12034375
transcript.pyannote[2634].end 27618.68534375
transcript.pyannote[2635].speaker SPEAKER_08
transcript.pyannote[2635].start 27619.03971875
transcript.pyannote[2635].end 27620.64284375
transcript.pyannote[2636].speaker SPEAKER_08
transcript.pyannote[2636].start 27621.06471875
transcript.pyannote[2636].end 27621.65534375
transcript.pyannote[2637].speaker SPEAKER_08
transcript.pyannote[2637].start 27621.92534375
transcript.pyannote[2637].end 27622.71846875
transcript.pyannote[2638].speaker SPEAKER_08
transcript.pyannote[2638].start 27623.52846875
transcript.pyannote[2638].end 27623.95034375
transcript.pyannote[2639].speaker SPEAKER_08
transcript.pyannote[2639].start 27624.13596875
transcript.pyannote[2639].end 27625.77284375
transcript.pyannote[2640].speaker SPEAKER_08
transcript.pyannote[2640].start 27626.07659375
transcript.pyannote[2640].end 27626.49846875
transcript.pyannote[2641].speaker SPEAKER_08
transcript.pyannote[2641].start 27627.08909375
transcript.pyannote[2641].end 27627.57846875
transcript.pyannote[2642].speaker SPEAKER_03
transcript.pyannote[2642].start 27627.57846875
transcript.pyannote[2642].end 27627.67971875
transcript.pyannote[2643].speaker SPEAKER_08
transcript.pyannote[2643].start 27627.67971875
transcript.pyannote[2643].end 27628.72596875
transcript.pyannote[2644].speaker SPEAKER_08
transcript.pyannote[2644].start 27628.92846875
transcript.pyannote[2644].end 27629.38409375
transcript.pyannote[2645].speaker SPEAKER_08
transcript.pyannote[2645].start 27629.90721875
transcript.pyannote[2645].end 27630.66659375
transcript.pyannote[2646].speaker SPEAKER_08
transcript.pyannote[2646].start 27630.90284375
transcript.pyannote[2646].end 27632.69159375
transcript.pyannote[2647].speaker SPEAKER_08
transcript.pyannote[2647].start 27633.41721875
transcript.pyannote[2647].end 27635.00346875
transcript.pyannote[2648].speaker SPEAKER_08
transcript.pyannote[2648].start 27636.31971875
transcript.pyannote[2648].end 27638.17596875
transcript.pyannote[2649].speaker SPEAKER_08
transcript.pyannote[2649].start 27639.57659375
transcript.pyannote[2649].end 27643.37346875
transcript.pyannote[2650].speaker SPEAKER_08
transcript.pyannote[2650].start 27643.93034375
transcript.pyannote[2650].end 27646.37721875
transcript.pyannote[2651].speaker SPEAKER_08
transcript.pyannote[2651].start 27646.39409375
transcript.pyannote[2651].end 27648.90846875
transcript.pyannote[2652].speaker SPEAKER_08
transcript.pyannote[2652].start 27649.34721875
transcript.pyannote[2652].end 27651.65909375
transcript.pyannote[2653].speaker SPEAKER_08
transcript.pyannote[2653].start 27652.23284375
transcript.pyannote[2653].end 27654.05534375
transcript.pyannote[2654].speaker SPEAKER_08
transcript.pyannote[2654].start 27654.83159375
transcript.pyannote[2654].end 27655.92846875
transcript.pyannote[2655].speaker SPEAKER_08
transcript.pyannote[2655].start 27656.08034375
transcript.pyannote[2655].end 27658.98284375
transcript.pyannote[2656].speaker SPEAKER_08
transcript.pyannote[2656].start 27659.87721875
transcript.pyannote[2656].end 27661.90221875
transcript.pyannote[2657].speaker SPEAKER_08
transcript.pyannote[2657].start 27661.96971875
transcript.pyannote[2657].end 27664.33221875
transcript.pyannote[2658].speaker SPEAKER_08
transcript.pyannote[2658].start 27664.88909375
transcript.pyannote[2658].end 27666.59346875
transcript.pyannote[2659].speaker SPEAKER_08
transcript.pyannote[2659].start 27667.06596875
transcript.pyannote[2659].end 27668.41596875
transcript.pyannote[2660].speaker SPEAKER_08
transcript.pyannote[2660].start 27668.97284375
transcript.pyannote[2660].end 27670.22159375
transcript.pyannote[2661].speaker SPEAKER_08
transcript.pyannote[2661].start 27670.98096875
transcript.pyannote[2661].end 27673.25909375
transcript.pyannote[2662].speaker SPEAKER_08
transcript.pyannote[2662].start 27673.61346875
transcript.pyannote[2662].end 27675.50346875
transcript.pyannote[2663].speaker SPEAKER_08
transcript.pyannote[2663].start 27675.85784375
transcript.pyannote[2663].end 27676.48221875
transcript.pyannote[2664].speaker SPEAKER_08
transcript.pyannote[2664].start 27676.75221875
transcript.pyannote[2664].end 27678.43971875
transcript.pyannote[2665].speaker SPEAKER_08
transcript.pyannote[2665].start 27679.18221875
transcript.pyannote[2665].end 27680.71784375
transcript.pyannote[2666].speaker SPEAKER_08
transcript.pyannote[2666].start 27681.42659375
transcript.pyannote[2666].end 27681.94971875
transcript.pyannote[2667].speaker SPEAKER_08
transcript.pyannote[2667].start 27682.86096875
transcript.pyannote[2667].end 27686.06721875
transcript.pyannote[2668].speaker SPEAKER_08
transcript.pyannote[2668].start 27686.38784375
transcript.pyannote[2668].end 27689.25659375
transcript.pyannote[2669].speaker SPEAKER_08
transcript.pyannote[2669].start 27690.04971875
transcript.pyannote[2669].end 27690.70784375
transcript.pyannote[2670].speaker SPEAKER_08
transcript.pyannote[2670].start 27691.29846875
transcript.pyannote[2670].end 27692.44596875
transcript.pyannote[2671].speaker SPEAKER_08
transcript.pyannote[2671].start 27693.37409375
transcript.pyannote[2671].end 27695.68596875
transcript.pyannote[2672].speaker SPEAKER_08
transcript.pyannote[2672].start 27696.19221875
transcript.pyannote[2672].end 27697.96409375
transcript.pyannote[2673].speaker SPEAKER_08
transcript.pyannote[2673].start 27698.38596875
transcript.pyannote[2673].end 27701.37284375
transcript.pyannote[2674].speaker SPEAKER_08
transcript.pyannote[2674].start 27701.59221875
transcript.pyannote[2674].end 27710.21534375
transcript.pyannote[2675].speaker SPEAKER_02
transcript.pyannote[2675].start 27710.21534375
transcript.pyannote[2675].end 27713.70846875
transcript.pyannote[2676].speaker SPEAKER_08
transcript.pyannote[2676].start 27710.28284375
transcript.pyannote[2676].end 27711.61596875
transcript.pyannote[2677].speaker SPEAKER_02
transcript.pyannote[2677].start 27713.84346875
transcript.pyannote[2677].end 27723.22596875
transcript.pyannote[2678].speaker SPEAKER_08
transcript.pyannote[2678].start 27715.29471875
transcript.pyannote[2678].end 27716.54346875
transcript.pyannote[2679].speaker SPEAKER_03
transcript.pyannote[2679].start 27722.68596875
transcript.pyannote[2679].end 27723.47909375
transcript.pyannote[2680].speaker SPEAKER_02
transcript.pyannote[2680].start 27723.58034375
transcript.pyannote[2680].end 27724.30596875
transcript.pyannote[2681].speaker SPEAKER_02
transcript.pyannote[2681].start 27725.16659375
transcript.pyannote[2681].end 27725.45346875
transcript.pyannote[2682].speaker SPEAKER_02
transcript.pyannote[2682].start 27725.79096875
transcript.pyannote[2682].end 27736.30409375
transcript.pyannote[2683].speaker SPEAKER_08
transcript.pyannote[2683].start 27734.68409375
transcript.pyannote[2683].end 27735.69659375
transcript.pyannote[2684].speaker SPEAKER_08
transcript.pyannote[2684].start 27735.83159375
transcript.pyannote[2684].end 27736.94534375
transcript.pyannote[2685].speaker SPEAKER_08
transcript.pyannote[2685].start 27737.23221875
transcript.pyannote[2685].end 27745.72034375
transcript.pyannote[2686].speaker SPEAKER_08
transcript.pyannote[2686].start 27746.26034375
transcript.pyannote[2686].end 27747.74534375
transcript.pyannote[2687].speaker SPEAKER_08
transcript.pyannote[2687].start 27748.48784375
transcript.pyannote[2687].end 27750.58034375
transcript.pyannote[2688].speaker SPEAKER_08
transcript.pyannote[2688].start 27751.47471875
transcript.pyannote[2688].end 27753.48284375
transcript.pyannote[2689].speaker SPEAKER_08
transcript.pyannote[2689].start 27754.15784375
transcript.pyannote[2689].end 27755.81159375
transcript.pyannote[2690].speaker SPEAKER_08
transcript.pyannote[2690].start 27757.04346875
transcript.pyannote[2690].end 27759.59159375
transcript.pyannote[2691].speaker SPEAKER_08
transcript.pyannote[2691].start 27760.30034375
transcript.pyannote[2691].end 27762.37596875
transcript.pyannote[2692].speaker SPEAKER_08
transcript.pyannote[2692].start 27762.96659375
transcript.pyannote[2692].end 27763.82721875
transcript.pyannote[2693].speaker SPEAKER_08
transcript.pyannote[2693].start 27764.77221875
transcript.pyannote[2693].end 27765.75096875
transcript.pyannote[2694].speaker SPEAKER_08
transcript.pyannote[2694].start 27765.95346875
transcript.pyannote[2694].end 27766.84784375
transcript.pyannote[2695].speaker SPEAKER_08
transcript.pyannote[2695].start 27767.55659375
transcript.pyannote[2695].end 27768.36659375
transcript.pyannote[2696].speaker SPEAKER_08
transcript.pyannote[2696].start 27768.65346875
transcript.pyannote[2696].end 27770.13846875
transcript.pyannote[2697].speaker SPEAKER_08
transcript.pyannote[2697].start 27770.99909375
transcript.pyannote[2697].end 27771.74159375
transcript.pyannote[2698].speaker SPEAKER_08
transcript.pyannote[2698].start 27772.29846875
transcript.pyannote[2698].end 27772.75409375
transcript.pyannote[2699].speaker SPEAKER_08
transcript.pyannote[2699].start 27772.87221875
transcript.pyannote[2699].end 27774.15471875
transcript.pyannote[2700].speaker SPEAKER_08
transcript.pyannote[2700].start 27774.99846875
transcript.pyannote[2700].end 27780.88784375
transcript.pyannote[2701].speaker SPEAKER_08
transcript.pyannote[2701].start 27781.19159375
transcript.pyannote[2701].end 27782.96346875
transcript.pyannote[2702].speaker SPEAKER_08
transcript.pyannote[2702].start 27783.01409375
transcript.pyannote[2702].end 27783.03096875
transcript.pyannote[2703].speaker SPEAKER_08
transcript.pyannote[2703].start 27783.04784375
transcript.pyannote[2703].end 27789.96659375
transcript.pyannote[2704].speaker SPEAKER_02
transcript.pyannote[2704].start 27790.59096875
transcript.pyannote[2704].end 27794.01659375
transcript.pyannote[2705].speaker SPEAKER_02
transcript.pyannote[2705].start 27794.23596875
transcript.pyannote[2705].end 27794.67471875
transcript.pyannote[2706].speaker SPEAKER_08
transcript.pyannote[2706].start 27795.68721875
transcript.pyannote[2706].end 27798.03284375
transcript.pyannote[2707].speaker SPEAKER_08
transcript.pyannote[2707].start 27798.26909375
transcript.pyannote[2707].end 27798.53909375
transcript.pyannote[2708].speaker SPEAKER_08
transcript.pyannote[2708].start 27798.85971875
transcript.pyannote[2708].end 27800.64846875
transcript.pyannote[2709].speaker SPEAKER_02
transcript.pyannote[2709].start 27800.93534375
transcript.pyannote[2709].end 27810.70596875
transcript.pyannote[2710].speaker SPEAKER_08
transcript.pyannote[2710].start 27803.36534375
transcript.pyannote[2710].end 27804.44534375
transcript.pyannote[2711].speaker SPEAKER_02
transcript.pyannote[2711].start 27811.38096875
transcript.pyannote[2711].end 27820.40909375
transcript.pyannote[2712].speaker SPEAKER_03
transcript.pyannote[2712].start 27811.66784375
transcript.pyannote[2712].end 27812.03909375
transcript.pyannote[2713].speaker SPEAKER_08
transcript.pyannote[2713].start 27812.03909375
transcript.pyannote[2713].end 27812.34284375
transcript.pyannote[2714].speaker SPEAKER_03
transcript.pyannote[2714].start 27812.34284375
transcript.pyannote[2714].end 27812.78159375
transcript.pyannote[2715].speaker SPEAKER_08
transcript.pyannote[2715].start 27812.78159375
transcript.pyannote[2715].end 27813.32159375
transcript.pyannote[2716].speaker SPEAKER_08
transcript.pyannote[2716].start 27814.90784375
transcript.pyannote[2716].end 27819.09284375
transcript.pyannote[2717].speaker SPEAKER_08
transcript.pyannote[2717].start 27819.66659375
transcript.pyannote[2717].end 27822.56909375
transcript.pyannote[2718].speaker SPEAKER_02
transcript.pyannote[2718].start 27822.82221875
transcript.pyannote[2718].end 27823.39596875
transcript.pyannote[2719].speaker SPEAKER_08
transcript.pyannote[2719].start 27823.90221875
transcript.pyannote[2719].end 27826.43346875
transcript.pyannote[2720].speaker SPEAKER_02
transcript.pyannote[2720].start 27826.93971875
transcript.pyannote[2720].end 27827.51346875
transcript.pyannote[2721].speaker SPEAKER_02
transcript.pyannote[2721].start 27827.91846875
transcript.pyannote[2721].end 27828.57659375
transcript.pyannote[2722].speaker SPEAKER_02
transcript.pyannote[2722].start 27828.69471875
transcript.pyannote[2722].end 27828.77909375
transcript.pyannote[2723].speaker SPEAKER_08
transcript.pyannote[2723].start 27828.77909375
transcript.pyannote[2723].end 27829.75784375
transcript.pyannote[2724].speaker SPEAKER_02
transcript.pyannote[2724].start 27828.86346875
transcript.pyannote[2724].end 27834.75284375
transcript.pyannote[2725].speaker SPEAKER_08
transcript.pyannote[2725].start 27833.68971875
transcript.pyannote[2725].end 27834.66846875
transcript.pyannote[2726].speaker SPEAKER_02
transcript.pyannote[2726].start 27834.93846875
transcript.pyannote[2726].end 27836.86221875
transcript.pyannote[2727].speaker SPEAKER_08
transcript.pyannote[2727].start 27835.39409375
transcript.pyannote[2727].end 27838.81971875
transcript.pyannote[2728].speaker SPEAKER_08
transcript.pyannote[2728].start 27839.78159375
transcript.pyannote[2728].end 27842.80221875
transcript.pyannote[2729].speaker SPEAKER_08
transcript.pyannote[2729].start 27843.66284375
transcript.pyannote[2729].end 27844.97909375
transcript.pyannote[2730].speaker SPEAKER_08
transcript.pyannote[2730].start 27845.70471875
transcript.pyannote[2730].end 27853.12971875
transcript.pyannote[2731].speaker SPEAKER_08
transcript.pyannote[2731].start 27853.77096875
transcript.pyannote[2731].end 27855.15471875
transcript.pyannote[2732].speaker SPEAKER_08
transcript.pyannote[2732].start 27855.50909375
transcript.pyannote[2732].end 27856.60596875
transcript.pyannote[2733].speaker SPEAKER_08
transcript.pyannote[2733].start 27857.16284375
transcript.pyannote[2733].end 27860.09909375
transcript.pyannote[2734].speaker SPEAKER_08
transcript.pyannote[2734].start 27860.62221875
transcript.pyannote[2734].end 27861.53346875
transcript.pyannote[2735].speaker SPEAKER_08
transcript.pyannote[2735].start 27862.03971875
transcript.pyannote[2735].end 27863.10284375
transcript.pyannote[2736].speaker SPEAKER_08
transcript.pyannote[2736].start 27863.32221875
transcript.pyannote[2736].end 27865.83659375
transcript.pyannote[2737].speaker SPEAKER_08
transcript.pyannote[2737].start 27866.35971875
transcript.pyannote[2737].end 27889.71471875
transcript.pyannote[2738].speaker SPEAKER_08
transcript.pyannote[2738].start 27890.05221875
transcript.pyannote[2738].end 27891.21659375
transcript.pyannote[2739].speaker SPEAKER_08
transcript.pyannote[2739].start 27891.90846875
transcript.pyannote[2739].end 27895.33409375
transcript.pyannote[2740].speaker SPEAKER_08
transcript.pyannote[2740].start 27895.51971875
transcript.pyannote[2740].end 27901.45971875
transcript.pyannote[2741].speaker SPEAKER_08
transcript.pyannote[2741].start 27901.83096875
transcript.pyannote[2741].end 27909.66096875
transcript.pyannote[2742].speaker SPEAKER_08
transcript.pyannote[2742].start 27910.15034375
transcript.pyannote[2742].end 27911.29784375
transcript.pyannote[2743].speaker SPEAKER_08
transcript.pyannote[2743].start 27912.10784375
transcript.pyannote[2743].end 27914.14971875
transcript.pyannote[2744].speaker SPEAKER_08
transcript.pyannote[2744].start 27914.33534375
transcript.pyannote[2744].end 27915.41534375
transcript.pyannote[2745].speaker SPEAKER_08
transcript.pyannote[2745].start 27916.32659375
transcript.pyannote[2745].end 27917.69346875
transcript.pyannote[2746].speaker SPEAKER_08
transcript.pyannote[2746].start 27918.18284375
transcript.pyannote[2746].end 27918.73971875
transcript.pyannote[2747].speaker SPEAKER_08
transcript.pyannote[2747].start 27919.04346875
transcript.pyannote[2747].end 27920.98409375
transcript.pyannote[2748].speaker SPEAKER_08
transcript.pyannote[2748].start 27921.65909375
transcript.pyannote[2748].end 27922.11471875
transcript.pyannote[2749].speaker SPEAKER_02
transcript.pyannote[2749].start 27922.11471875
transcript.pyannote[2749].end 27922.13159375
transcript.pyannote[2750].speaker SPEAKER_02
transcript.pyannote[2750].start 27922.45221875
transcript.pyannote[2750].end 27941.06534375
transcript.pyannote[2751].speaker SPEAKER_08
transcript.pyannote[2751].start 27924.49409375
transcript.pyannote[2751].end 27926.85659375
transcript.pyannote[2752].speaker SPEAKER_08
transcript.pyannote[2752].start 27939.86721875
transcript.pyannote[2752].end 27942.31409375
transcript.pyannote[2753].speaker SPEAKER_08
transcript.pyannote[2753].start 27942.48284375
transcript.pyannote[2753].end 27949.24971875
transcript.pyannote[2754].speaker SPEAKER_08
transcript.pyannote[2754].start 27949.60409375
transcript.pyannote[2754].end 27950.81909375
transcript.pyannote[2755].speaker SPEAKER_08
transcript.pyannote[2755].start 27951.57846875
transcript.pyannote[2755].end 27952.74284375
transcript.pyannote[2756].speaker SPEAKER_08
transcript.pyannote[2756].start 27953.13096875
transcript.pyannote[2756].end 27954.90284375
transcript.pyannote[2757].speaker SPEAKER_08
transcript.pyannote[2757].start 27955.17284375
transcript.pyannote[2757].end 27957.28221875
transcript.pyannote[2758].speaker SPEAKER_08
transcript.pyannote[2758].start 27957.53534375
transcript.pyannote[2758].end 27959.98221875
transcript.pyannote[2759].speaker SPEAKER_08
transcript.pyannote[2759].start 27960.53909375
transcript.pyannote[2759].end 27961.51784375
transcript.pyannote[2760].speaker SPEAKER_08
transcript.pyannote[2760].start 27961.82159375
transcript.pyannote[2760].end 27962.98596875
transcript.pyannote[2761].speaker SPEAKER_08
transcript.pyannote[2761].start 27964.11659375
transcript.pyannote[2761].end 27965.97284375
transcript.pyannote[2762].speaker SPEAKER_08
transcript.pyannote[2762].start 27967.99784375
transcript.pyannote[2762].end 27969.56721875
transcript.pyannote[2763].speaker SPEAKER_08
transcript.pyannote[2763].start 27970.49534375
transcript.pyannote[2763].end 27971.91284375
transcript.pyannote[2764].speaker SPEAKER_08
transcript.pyannote[2764].start 27972.65534375
transcript.pyannote[2764].end 27973.41471875
transcript.pyannote[2765].speaker SPEAKER_08
transcript.pyannote[2765].start 27974.24159375
transcript.pyannote[2765].end 27975.72659375
transcript.pyannote[2766].speaker SPEAKER_08
transcript.pyannote[2766].start 27976.30034375
transcript.pyannote[2766].end 27977.88659375
transcript.pyannote[2767].speaker SPEAKER_08
transcript.pyannote[2767].start 27978.27471875
transcript.pyannote[2767].end 27979.11846875
transcript.pyannote[2768].speaker SPEAKER_08
transcript.pyannote[2768].start 27979.23659375
transcript.pyannote[2768].end 27980.33346875
transcript.pyannote[2769].speaker SPEAKER_08
transcript.pyannote[2769].start 27981.19409375
transcript.pyannote[2769].end 27981.97034375
transcript.pyannote[2770].speaker SPEAKER_08
transcript.pyannote[2770].start 27982.02096875
transcript.pyannote[2770].end 27982.88159375
transcript.pyannote[2771].speaker SPEAKER_08
transcript.pyannote[2771].start 27983.21909375
transcript.pyannote[2771].end 27983.87721875
transcript.pyannote[2772].speaker SPEAKER_08
transcript.pyannote[2772].start 27984.73784375
transcript.pyannote[2772].end 27987.03284375
transcript.pyannote[2773].speaker SPEAKER_08
transcript.pyannote[2773].start 27987.91034375
transcript.pyannote[2773].end 27990.03659375
transcript.pyannote[2774].speaker SPEAKER_08
transcript.pyannote[2774].start 27990.12096875
transcript.pyannote[2774].end 27990.89721875
transcript.pyannote[2775].speaker SPEAKER_08
transcript.pyannote[2775].start 27990.96471875
transcript.pyannote[2775].end 27993.85034375
transcript.pyannote[2776].speaker SPEAKER_08
transcript.pyannote[2776].start 27994.50846875
transcript.pyannote[2776].end 27996.98909375
transcript.pyannote[2777].speaker SPEAKER_08
transcript.pyannote[2777].start 27997.93409375
transcript.pyannote[2777].end 27999.36846875
transcript.pyannote[2778].speaker SPEAKER_08
transcript.pyannote[2778].start 28000.07721875
transcript.pyannote[2778].end 28001.34284375
transcript.pyannote[2779].speaker SPEAKER_08
transcript.pyannote[2779].start 28001.64659375
transcript.pyannote[2779].end 28003.08096875
transcript.pyannote[2780].speaker SPEAKER_08
transcript.pyannote[2780].start 28003.92471875
transcript.pyannote[2780].end 28011.63659375
transcript.pyannote[2781].speaker SPEAKER_02
transcript.pyannote[2781].start 28013.03721875
transcript.pyannote[2781].end 28027.33034375
transcript.pyannote[2782].speaker SPEAKER_08
transcript.pyannote[2782].start 28022.95971875
transcript.pyannote[2782].end 28024.74846875
transcript.pyannote[2783].speaker SPEAKER_09
transcript.pyannote[2783].start 28024.74846875
transcript.pyannote[2783].end 28024.81596875
transcript.pyannote[2784].speaker SPEAKER_02
transcript.pyannote[2784].start 28027.58346875
transcript.pyannote[2784].end 28027.95471875
transcript.pyannote[2785].speaker SPEAKER_02
transcript.pyannote[2785].start 28028.19096875
transcript.pyannote[2785].end 28030.09784375
transcript.pyannote[2786].speaker SPEAKER_02
transcript.pyannote[2786].start 28030.30034375
transcript.pyannote[2786].end 28037.84346875
transcript.pyannote[2787].speaker SPEAKER_08
transcript.pyannote[2787].start 28030.33409375
transcript.pyannote[2787].end 28031.27909375
transcript.pyannote[2788].speaker SPEAKER_08
transcript.pyannote[2788].start 28031.73471875
transcript.pyannote[2788].end 28031.97096875
transcript.pyannote[2789].speaker SPEAKER_00
transcript.pyannote[2789].start 28031.97096875
transcript.pyannote[2789].end 28032.05534375
transcript.pyannote[2790].speaker SPEAKER_08
transcript.pyannote[2790].start 28036.83096875
transcript.pyannote[2790].end 28043.31096875
transcript.pyannote[2791].speaker SPEAKER_08
transcript.pyannote[2791].start 28043.80034375
transcript.pyannote[2791].end 28051.96784375
transcript.pyannote[2792].speaker SPEAKER_07
transcript.pyannote[2792].start 28046.80409375
transcript.pyannote[2792].end 28047.37784375
transcript.pyannote[2793].speaker SPEAKER_03
transcript.pyannote[2793].start 28047.37784375
transcript.pyannote[2793].end 28047.56346875
transcript.pyannote[2794].speaker SPEAKER_07
transcript.pyannote[2794].start 28047.56346875
transcript.pyannote[2794].end 28047.64784375
transcript.pyannote[2795].speaker SPEAKER_03
transcript.pyannote[2795].start 28047.64784375
transcript.pyannote[2795].end 28047.96846875
transcript.pyannote[2796].speaker SPEAKER_07
transcript.pyannote[2796].start 28047.96846875
transcript.pyannote[2796].end 28049.85846875
transcript.pyannote[2797].speaker SPEAKER_03
transcript.pyannote[2797].start 28049.85846875
transcript.pyannote[2797].end 28049.87534375
transcript.pyannote[2798].speaker SPEAKER_07
transcript.pyannote[2798].start 28049.87534375
transcript.pyannote[2798].end 28049.97659375
transcript.pyannote[2799].speaker SPEAKER_03
transcript.pyannote[2799].start 28049.97659375
transcript.pyannote[2799].end 28050.51659375
transcript.pyannote[2800].speaker SPEAKER_09
transcript.pyannote[2800].start 28050.51659375
transcript.pyannote[2800].end 28050.75284375
transcript.pyannote[2801].speaker SPEAKER_03
transcript.pyannote[2801].start 28050.75284375
transcript.pyannote[2801].end 28050.82034375
transcript.pyannote[2802].speaker SPEAKER_03
transcript.pyannote[2802].start 28051.96784375
transcript.pyannote[2802].end 28052.01846875
transcript.pyannote[2803].speaker SPEAKER_08
transcript.pyannote[2803].start 28052.01846875
transcript.pyannote[2803].end 28052.05221875
transcript.pyannote[2804].speaker SPEAKER_03
transcript.pyannote[2804].start 28052.05221875
transcript.pyannote[2804].end 28052.10284375
transcript.pyannote[2805].speaker SPEAKER_08
transcript.pyannote[2805].start 28052.10284375
transcript.pyannote[2805].end 28052.13659375
transcript.pyannote[2806].speaker SPEAKER_08
transcript.pyannote[2806].start 28052.30534375
transcript.pyannote[2806].end 28055.07284375
transcript.pyannote[2807].speaker SPEAKER_08
transcript.pyannote[2807].start 28056.32159375
transcript.pyannote[2807].end 28057.55346875
transcript.pyannote[2808].speaker SPEAKER_08
transcript.pyannote[2808].start 28058.59971875
transcript.pyannote[2808].end 28060.18596875
transcript.pyannote[2809].speaker SPEAKER_08
transcript.pyannote[2809].start 28060.25346875
transcript.pyannote[2809].end 28061.89034375
transcript.pyannote[2810].speaker SPEAKER_08
transcript.pyannote[2810].start 28062.86909375
transcript.pyannote[2810].end 28064.97846875
transcript.pyannote[2811].speaker SPEAKER_08
transcript.pyannote[2811].start 28065.23159375
transcript.pyannote[2811].end 28067.57721875
transcript.pyannote[2812].speaker SPEAKER_08
transcript.pyannote[2812].start 28067.88096875
transcript.pyannote[2812].end 28069.11284375
transcript.pyannote[2813].speaker SPEAKER_08
transcript.pyannote[2813].start 28069.56846875
transcript.pyannote[2813].end 28070.10846875
transcript.pyannote[2814].speaker SPEAKER_08
transcript.pyannote[2814].start 28071.03659375
transcript.pyannote[2814].end 28073.29784375
transcript.pyannote[2815].speaker SPEAKER_08
transcript.pyannote[2815].start 28073.80409375
transcript.pyannote[2815].end 28077.51659375
transcript.pyannote[2816].speaker SPEAKER_08
transcript.pyannote[2816].start 28077.71909375
transcript.pyannote[2816].end 28082.10659375
transcript.pyannote[2817].speaker SPEAKER_08
transcript.pyannote[2817].start 28082.59596875
transcript.pyannote[2817].end 28083.55784375
transcript.pyannote[2818].speaker SPEAKER_08
transcript.pyannote[2818].start 28083.97971875
transcript.pyannote[2818].end 28085.76846875
transcript.pyannote[2819].speaker SPEAKER_08
transcript.pyannote[2819].start 28086.57846875
transcript.pyannote[2819].end 28087.25346875
transcript.pyannote[2820].speaker SPEAKER_08
transcript.pyannote[2820].start 28088.23221875
transcript.pyannote[2820].end 28089.05909375
transcript.pyannote[2821].speaker SPEAKER_08
transcript.pyannote[2821].start 28089.34596875
transcript.pyannote[2821].end 28090.25721875
transcript.pyannote[2822].speaker SPEAKER_08
transcript.pyannote[2822].start 28091.08409375
transcript.pyannote[2822].end 28092.56909375
transcript.pyannote[2823].speaker SPEAKER_08
transcript.pyannote[2823].start 28092.94034375
transcript.pyannote[2823].end 28093.31159375
transcript.pyannote[2824].speaker SPEAKER_02
transcript.pyannote[2824].start 28093.31159375
transcript.pyannote[2824].end 28093.32846875
transcript.pyannote[2825].speaker SPEAKER_08
transcript.pyannote[2825].start 28093.32846875
transcript.pyannote[2825].end 28093.34534375
transcript.pyannote[2826].speaker SPEAKER_02
transcript.pyannote[2826].start 28093.41284375
transcript.pyannote[2826].end 28094.49284375
transcript.pyannote[2827].speaker SPEAKER_02
transcript.pyannote[2827].start 28094.61096875
transcript.pyannote[2827].end 28098.44159375
transcript.pyannote[2828].speaker SPEAKER_08
transcript.pyannote[2828].start 28098.44159375
transcript.pyannote[2828].end 28098.96471875
transcript.pyannote[2829].speaker SPEAKER_02
transcript.pyannote[2829].start 28098.96471875
transcript.pyannote[2829].end 28099.53846875
transcript.pyannote[2830].speaker SPEAKER_08
transcript.pyannote[2830].start 28099.20096875
transcript.pyannote[2830].end 28099.50471875
transcript.pyannote[2831].speaker SPEAKER_08
transcript.pyannote[2831].start 28099.53846875
transcript.pyannote[2831].end 28099.79159375
transcript.pyannote[2832].speaker SPEAKER_02
transcript.pyannote[2832].start 28100.34846875
transcript.pyannote[2832].end 28100.98971875
transcript.pyannote[2833].speaker SPEAKER_02
transcript.pyannote[2833].start 28101.22596875
transcript.pyannote[2833].end 28110.22034375
transcript.pyannote[2834].speaker SPEAKER_08
transcript.pyannote[2834].start 28106.05221875
transcript.pyannote[2834].end 28106.47409375
transcript.pyannote[2835].speaker SPEAKER_08
transcript.pyannote[2835].start 28109.20784375
transcript.pyannote[2835].end 28111.70534375
transcript.pyannote[2836].speaker SPEAKER_08
transcript.pyannote[2836].start 28112.02596875
transcript.pyannote[2836].end 28118.26971875
transcript.pyannote[2837].speaker SPEAKER_02
transcript.pyannote[2837].start 28118.80971875
transcript.pyannote[2837].end 28119.40034375
transcript.pyannote[2838].speaker SPEAKER_02
transcript.pyannote[2838].start 28119.78846875
transcript.pyannote[2838].end 28128.73221875
transcript.pyannote[2839].speaker SPEAKER_08
transcript.pyannote[2839].start 28125.27284375
transcript.pyannote[2839].end 28129.91346875
transcript.pyannote[2840].speaker SPEAKER_02
transcript.pyannote[2840].start 28129.91346875
transcript.pyannote[2840].end 28132.76534375
transcript.pyannote[2841].speaker SPEAKER_08
transcript.pyannote[2841].start 28130.14971875
transcript.pyannote[2841].end 28132.83284375
transcript.pyannote[2842].speaker SPEAKER_05
transcript.pyannote[2842].start 28139.12721875
transcript.pyannote[2842].end 28144.03784375
transcript.pyannote[2843].speaker SPEAKER_05
transcript.pyannote[2843].start 28151.26034375
transcript.pyannote[2843].end 28161.11534375
transcript.pyannote[2844].speaker SPEAKER_05
transcript.pyannote[2844].start 28161.63846875
transcript.pyannote[2844].end 28178.90159375
transcript.pyannote[2845].speaker SPEAKER_05
transcript.pyannote[2845].start 28178.93534375
transcript.pyannote[2845].end 28183.82909375
transcript.pyannote[2846].speaker SPEAKER_05
transcript.pyannote[2846].start 28183.86284375
transcript.pyannote[2846].end 28183.91346875
transcript.pyannote[2847].speaker SPEAKER_05
transcript.pyannote[2847].start 28184.21721875
transcript.pyannote[2847].end 28187.72721875
transcript.pyannote[2848].speaker SPEAKER_05
transcript.pyannote[2848].start 28188.06471875
transcript.pyannote[2848].end 28194.83159375
transcript.pyannote[2849].speaker SPEAKER_05
transcript.pyannote[2849].start 28195.92846875
transcript.pyannote[2849].end 28209.52971875
transcript.pyannote[2850].speaker SPEAKER_05
transcript.pyannote[2850].start 28209.93471875
transcript.pyannote[2850].end 28215.89159375
transcript.whisperx[0].start 198.005
transcript.whisperx[0].end 198.026
transcript.whisperx[0].text 請勞動部長.
transcript.whisperx[1].start 778.456
transcript.whisperx[1].end 787.758
transcript.whisperx[1].text 委員會委員會委員會委員會委員會委員會委員會委員會
transcript.whisperx[2].start 878.636
transcript.whisperx[2].end 878.941
transcript.whisperx[2].text 是否有當.
transcript.whisperx[3].start 992.722
transcript.whisperx[3].end 1021.129
transcript.whisperx[3].text 是否有當.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行
transcript.whisperx[4].start 1067.001
transcript.whisperx[4].end 1071.364
transcript.whisperx[4].text 蔣威廷﹗
transcript.whisperx[5].start 1108.414
transcript.whisperx[5].end 1118.611
transcript.whisperx[5].text 是否有當?請公決案等25案。
transcript.whisperx[6].start 1175.352
transcript.whisperx[6].end 1175.876
transcript.whisperx[6].text 是否有當?請公決案等25案。
transcript.whisperx[7].start 1215.743
transcript.whisperx[7].end 1215.763
transcript.whisperx[7].text 請勞動部長.
transcript.whisperx[8].start 1342.981
transcript.whisperx[8].end 1361.334
transcript.whisperx[8].text 是否有當.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使
transcript.whisperx[9].start 1372.183
transcript.whisperx[9].end 1372.385
transcript.whisperx[9].text 主席
transcript.whisperx[10].start 1419.087
transcript.whisperx[10].end 1443.026
transcript.whisperx[10].text 是否有當.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行
transcript.whisperx[11].start 1452.295
transcript.whisperx[11].end 1479.525
transcript.whisperx[11].text 是否有當.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行
transcript.whisperx[12].start 1490.932
transcript.whisperx[12].end 1493.273
transcript.whisperx[12].text 好,我們出三個,三個,三個請票員
transcript.whisperx[13].start 1507.406
transcript.whisperx[13].end 1533.387
transcript.whisperx[13].text 是否有當.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行使事項.二、同意權之行
transcript.whisperx[14].start 1550.34
transcript.whisperx[14].end 1551.521
transcript.whisperx[14].text 是否有當.二、同意權之行使事項.二、同意權之行使
transcript.whisperx[15].start 1793.837
transcript.whisperx[15].end 1799.185
transcript.whisperx[15].text 報言會現在我們繼續開會進行同意權之行使事項請宣讀全委會審查報告
transcript.whisperx[16].start 1801.896
transcript.whisperx[16].end 1826.446
transcript.whisperx[16].text 總統咨則依據《憲法增修條文》第6條第二項規定提名周鴻憲為考試院第十四屆院長徐書強為考試院第十四屆副院長邱偉燕、鄧家基、王秀紅、呂秋慧、柯麗玲、黃東毅、伊萬娜威七位為考試院第十四屆考試委員自行同意案本案經提報北院第11屆第一會期第17次會議決定將取原位委員會選查
transcript.whisperx[17].start 1831.363
transcript.whisperx[17].end 1850.189
transcript.whisperx[17].text 本院全院委員會於11月22日下午舉行公定會由院長韓國瑜、副院長張啟臣分別擔任主席各黨團推薦之學者、專家應邀出席藉由紀俊成教授等發表意見再由本院各黨團推派組成之審查小組詢問
transcript.whisperx[18].start 1851.673
transcript.whisperx[18].end 1862.137
transcript.whisperx[18].text 既有吳春成委員等口頭詢問.並有與會學者參加綜合答覆.以上公定會發言紀錄.經會應成冊.含送本院權力委員審查時參考。
transcript.whisperx[19].start 1864.505
transcript.whisperx[19].end 1883.662
transcript.whisperx[19].text 全院委員會.審查會.於11月26日.上午審查.考試院院長.被提名人周鴻憲.由副院長江啟臣擔任主席.藉由沈薄洋委員等.口頭詢問.均由被提名人.口頭答覆。11月26日.下午審查.考試院副院長.被提名人許書祥.
transcript.whisperx[20].start 1884.443
transcript.whisperx[20].end 1900.306
transcript.whisperx[20].text 由副院長江啟臣擔任主席.藉由楊瓊英委員等.口頭詢問.均由被提名人.口頭答覆.11月29日.下午分別審查.考試委員.被提名人.邱維彥.家機.由副院長江啟臣擔任主席.
transcript.whisperx[21].start 1901.482
transcript.whisperx[21].end 1922.183
transcript.whisperx[21].text 針對被提名人邱偉諺均審查.藉由蘇清泉委員等.口頭詢問.均由被提名人口頭答覆.針對被提名人鄧家基之審查.藉由楊秋英委員等.口頭詢問.均由被提名人口頭答覆.12月3日.分別審查可是委員.被提名人.王秀紅、呂秋慧、戈麗玲.
transcript.whisperx[22].start 1922.924
transcript.whisperx[22].end 1948.485
transcript.whisperx[22].text 由院長韓國瑜擔任主席﹐針對被提名人王秀紅之審查﹐即由盧志強委員等﹐口頭詢問﹐均由被提名人﹐口頭答覆﹐針對被提名人呂秋慧之審查﹐即由林益君委員等﹐口頭詢問﹐均由被提名人﹐口頭答覆﹐針對被提名人柯麗玲之審查﹐即由林月琴委員等﹐口頭詢問﹐均由被提名人﹐口頭答覆。
transcript.whisperx[23].start 1950.173
transcript.whisperx[23].end 1973.337
transcript.whisperx[23].text 12月6日﹐項目分別審查考試委員﹐被提名人黃東毅﹐伊萬納威﹐由副院長江啟臣擔任主席﹐針對被提名人黃東毅之審查﹐藉由楊瓊英委員等口頭詢問﹐均有被提名人口頭答覆﹐針對被提名人伊萬納威之審查﹐藉由楊瓊英委員等口頭詢問﹐均有被提名人口頭答覆﹐
transcript.whisperx[24].start 1973.897
transcript.whisperx[24].end 1991.759
transcript.whisperx[24].text 全院委員會於12月6日審查文據原決議提報院會以記名投票表決宣讀完畢報院會現在針對考試院院長、副院長及考試委員被提名人同意權之行使進行記名投票表決依黨團協商結論
transcript.whisperx[25].start 1993.274
transcript.whisperx[25].end 2016.201
transcript.whisperx[25].text 由各黨團推派一位.擔任投開票監察員.有關同意權之相關事務工作.均循例辦理.設置圈票處4個.票軌2個.報院會在投票表決之前.做以下兩點重要宣告一、投開票的監察員.由國民黨團推派翁曉琳委員.擔任
transcript.whisperx[26].start 2017.401
transcript.whisperx[26].end 2026.655
transcript.whisperx[26].text 民進黨團推派李昆成委員擔任臺灣民眾黨團推派麥玉珍委員擔任二、投票截止時間為上午11點
transcript.whisperx[27].start 2029.059
transcript.whisperx[27].end 2047.037
transcript.whisperx[27].text 再說一遍.投票截止時間為上午11點.如全體委員在上午11點之前已投票完畢.我們則提前開票.現在.請工作人員布置投票所.並請投開票監察員執行監察職務.
transcript.whisperx[28].start 2306.008
transcript.whisperx[28].end 2326.174
transcript.whisperx[28].text 報告院會,我們依協商結論﹐考試院長、副院長及七位考試委員﹐被提名人,並為一張同意票。另外,為了方便在領票及投票領票的時候,請各位委員分區領票。編號第一號到60號的委員,請至南區領票。編號61號到113號委員,請至北區領票。
transcript.whisperx[29].start 2335.353
transcript.whisperx[29].end 2345.517
transcript.whisperx[29].text 投票的時候兩側發言台各設有一個票軌均可以投入現在請各位委員開始分區領票及投票
transcript.whisperx[30].start 6020.929
transcript.whisperx[30].end 6025.308
transcript.whisperx[30].text 跟院會報告今天我們立法委員陳超明生日陳超明委員今天現場我們掌聲給他
transcript.whisperx[31].start 8801.192
transcript.whisperx[31].end 8808.012
transcript.whisperx[31].text 報告院會,距離投票截止時間上午11點還有3分鐘,尚未投票的委員請趕快投票。
transcript.whisperx[32].start 8984.141
transcript.whisperx[32].end 8998.52
transcript.whisperx[32].text 抱怨會投票截止時間已到請按鈴現在請工作人員佈置開票所
transcript.whisperx[33].start 9019.622
transcript.whisperx[33].end 9035.76
transcript.whisperx[33].text 報告院會向院會報告本日程序委員會輪值召集委員、審發會委員表示今日程序委員會開會時間延後至中午院會休息10分鐘後於紅樓201會議室召開
transcript.whisperx[34].start 9114.879
transcript.whisperx[34].end 9130.644
transcript.whisperx[34].text 現在報告發票報告書立法院行使考試院院長、副院長及考試委員同意權投票表決發票報告書領票委員112人為領票委員1人合計113人中華民國113年12月17日投開票監察員麥玉珍、翁曉琳、李坤誠
transcript.whisperx[35].start 9150.363
transcript.whisperx[35].end 9157.822
transcript.whisperx[35].text 報院會現在開始開票請開起票軌並整理同意權票
transcript.whisperx[36].start 9730.953
transcript.whisperx[36].end 9737.715
transcript.whisperx[36].text 好了嗎?報告院會現在依序進行唱票請唱票
transcript.whisperx[37].start 9762.298
transcript.whisperx[37].end 9784.131
transcript.whisperx[37].text 丁學忠同意權票 周鴻憲不同意丁學忠同意權票 周鴻憲不同意許書祥同意許書祥同意邱文彥同意邱文彥同意鄧家基同意鄧家基同意王秀紅同意王秀紅同意
transcript.whisperx[38].start 9784.851
transcript.whisperx[38].end 9801.784
transcript.whisperx[38].text 呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑不同意柯麗玲﹑不同意黃東益﹑同意黃東益﹑同意伊萬納威﹑同意伊萬納威﹑同意劉許廷﹑同意權票
transcript.whisperx[39].start 9803.072
transcript.whisperx[39].end 9830.923
transcript.whisperx[39].text 周鴻憲﹑不同意牛許廷﹑同意權票周鴻憲﹑不同意許書翔﹑同意許書翔﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗麟﹑不同意柯麗麟﹑不同意黃東益﹑同意黃東益﹑同意
transcript.whisperx[40].start 9833.044
transcript.whisperx[40].end 9842.671
transcript.whisperx[40].text 伊萬納威﹑同意王世堅﹑同意權票周鴻憲﹑同意許淑祥﹑同意邱文彥﹑同意鄧家基﹑同意王秀紅﹑同意呂秋慧﹑同意
transcript.whisperx[41].start 9862.185
transcript.whisperx[41].end 9875.132
transcript.whisperx[41].text 柯麗玲﹑同意柯麗玲﹑同意黃東益﹑同意黃東益﹑同意伊萬納威﹑同意伊萬納威﹑同意王振旭﹑同意選票
transcript.whisperx[42].start 9877.087
transcript.whisperx[42].end 9903.744
transcript.whisperx[42].text 鍾鴻憲﹑同意王振旭﹑同意權票鍾鴻憲﹑同意許書祥﹑同意許書祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑同意柯麗玲﹑同意黃東益﹑同意黃東益﹑同意
transcript.whisperx[43].start 9904.304
transcript.whisperx[43].end 9930.535
transcript.whisperx[43].text 一萬納威﹑同意一萬納威﹑同意王玉敏﹑同意權票周鴻憲﹑不同意王玉敏﹑同意權票周鴻憲﹑不同意許書祥﹑同意許書祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意
transcript.whisperx[44].start 9931.135
transcript.whisperx[44].end 9944.865
transcript.whisperx[44].text 李秋慧﹑同意李秋慧﹑同意柯麗玲﹑不同意柯麗玲﹑不同意黃東益﹑同意黃東益﹑同意伊萬納威﹑同意伊萬納威﹑同意
transcript.whisperx[45].start 9945.936
transcript.whisperx[45].end 9954.647
transcript.whisperx[45].text 王定宇 同意權票 周鴻憲 同意 許淑祥 同意 邱文彥 同意 鄧家基 同意
transcript.whisperx[46].start 9963.658
transcript.whisperx[46].end 9982.797
transcript.whisperx[46].text 王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑同意柯麗玲﹑同意黃東益﹑同意黃東益﹑同意伊萬納威﹑同意伊萬納威﹑同意王美惠﹑同意選票
transcript.whisperx[47].start 9983.72
transcript.whisperx[47].end 9998.295
transcript.whisperx[47].text 周鴻憲﹑同意王美惠﹑同意權票周鴻憲﹑同意許書祥﹑同意許書祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意
transcript.whisperx[48].start 9998.915
transcript.whisperx[48].end 10018.12
transcript.whisperx[48].text 王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑同意柯麗玲﹑同意黃東益﹑同意黃東益﹑同意伊萬納威﹑同意伊萬納威﹑同意王逸川﹑同意全票
transcript.whisperx[49].start 10019.048
transcript.whisperx[49].end 10034.67
transcript.whisperx[49].text 周鴻憲﹑同意王一川﹑同意權票周鴻憲﹑同意許淑祥﹑同意許淑祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意
transcript.whisperx[50].start 10035.271
transcript.whisperx[50].end 10042.896
transcript.whisperx[50].text 王秀紅﹑同意呂秋慧﹑同意柯麗玲﹑同意黃東益﹑同意伊萬納威﹑同意
transcript.whisperx[51].start 10050.834
transcript.whisperx[51].end 10058.396
transcript.whisperx[51].text 王鴻維﹑同意權票 周鴻憲﹑不同意許淑祥﹑同意邱文彥﹑同意鄧家基﹑同意
transcript.whisperx[52].start 10069.139
transcript.whisperx[52].end 10088.312
transcript.whisperx[52].text 王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑不同意柯麗玲﹑不同意黃東益﹑同意黃東益﹑同意伊萬納威﹑同意伊萬納威﹑同意伍麗華﹑同意全票
transcript.whisperx[53].start 10089.096
transcript.whisperx[53].end 10109.39
transcript.whisperx[53].text 周鴻憲ﷺ同意ﷺ吳立華ﷺ同意權票ﷺ周鴻憲ﷺ同意ﷺ許淑祥ﷺ同意ﷺ許淑祥ﷺ同意ﷺ邱文彥ﷺ同意ﷺ邱文彥ﷺ同意ﷺ鄧家基ﷺ同意ﷺ鄧家基ﷺ同意ﷺ王秀宏ﷺ同意ﷺ王秀宏ﷺ同意ﷺ呂秋慧ﷺ同意ﷺ呂秋慧ﷺ同意ﷺ
transcript.whisperx[54].start 10109.97
transcript.whisperx[54].end 10116.421
transcript.whisperx[54].text 柯麗琳﹑同意黃東益﹑同意伊萬納威﹑同意江啟臣﹑同意全票
transcript.whisperx[55].start 10122.987
transcript.whisperx[55].end 10151.198
transcript.whisperx[55].text 周鴻憲﹑不同意江啟臣﹑同意權票﹑周鴻憲﹑不同意許書翔﹑同意許書翔﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗麟﹑不同意柯麗麟﹑不同意黃東益﹑同意黃東益﹑同意
transcript.whisperx[56].start 10151.678
transcript.whisperx[56].end 10175.86
transcript.whisperx[56].text 一萬納威﹑同意一萬納威﹑同意何新淳﹑同意權票﹑周鴻憲﹑同意何新淳﹑同意權票﹑周鴻憲﹑同意許書翔﹑同意許書翔﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意
transcript.whisperx[57].start 10176.6
transcript.whisperx[57].end 10182.244
transcript.whisperx[57].text 呂秋慧﹑同意柯麗玲﹑同意黃東毅﹑同意伊萬納威﹑同意
transcript.whisperx[58].start 10190.652
transcript.whisperx[58].end 10202.143
transcript.whisperx[58].text 吳佩義同意權票 周鴻憲同意 許淑祥同意 邱文彥同意鄧家基同意 王秀紅同意 呂秋慧同意
transcript.whisperx[59].start 10212.293
transcript.whisperx[59].end 10218.118
transcript.whisperx[59].text 李秋蕙﹑同意柯麗琳﹑同意黃東毅﹑同意伊萬納威﹑同意伊萬納威﹑同意
transcript.whisperx[60].start 10224.745
transcript.whisperx[60].end 10232.19
transcript.whisperx[60].text 吳宗憲 同意權票 周鴻憲 不同意許書祥 同意邱文彥 同意鄧家基 同意
transcript.whisperx[61].start 10242.597
transcript.whisperx[61].end 10263.116
transcript.whisperx[61].text 王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑不同意柯麗玲﹑不同意黃東益﹑同意黃東益﹑同意伊萬納威﹑同意伊萬納威﹑同意吳秉瑞﹑同意全票周鴻燮﹑同意
transcript.whisperx[62].start 10264.461
transcript.whisperx[62].end 10290.103
transcript.whisperx[62].text 吳秉瑞 同意權票 周鴻憲 同意許淑祥 同意許淑祥 同意邱文彥 同意邱文彥 同意鄧家基 同意鄧家基 同意王秀紅 同意王秀紅 同意呂秋慧 同意呂秋慧 同意柯麗玲 同意柯麗玲 同意黃東益 同意黃東益 同意伊萬納威 同意伊萬納威 同意
transcript.whisperx[63].start 10292.888
transcript.whisperx[63].end 10296.055
transcript.whisperx[63].text 吳思瑤﹑同意權票﹑周鴻燮﹑同意
transcript.whisperx[64].start 10299.577
transcript.whisperx[64].end 10325.721
transcript.whisperx[64].text 許淑祥﹑同意許淑祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗麟﹑同意柯麗麟﹑同意黃東益﹑同意黃東益﹑同意伊萬納威﹑同意伊萬納威﹑同意吳春成﹑同意全票
transcript.whisperx[65].start 10326.587
transcript.whisperx[65].end 10352.628
transcript.whisperx[65].text 周鴻憲 同意吳春城 同意權票 周鴻憲 同意許書翔 同意許書翔 同意邱文彥 同意邱文彥 同意鄧家基 同意鄧家基 同意王秀紅 同意王秀紅 同意呂秋慧 同意呂秋慧 同意柯麗玲 不同意柯麗玲 不同意黃東益 同意黃東益 同意
transcript.whisperx[66].start 10354.75
transcript.whisperx[66].end 10358.479
transcript.whisperx[66].text 伊萬納威不同意伊萬納威不同意
transcript.whisperx[67].start 10360.314
transcript.whisperx[67].end 10372.317
transcript.whisperx[67].text 吳祁銘同意權票.周鴻憲同意.許淑祥同意.邱文彥同意.鄧家基同意.王秀紅同意.呂秋慧同意.柯麗玲同意.黃東毅同意.
transcript.whisperx[68].start 10388.321
transcript.whisperx[68].end 10389.549
transcript.whisperx[68].text 伊瓦納維(同意
transcript.whisperx[69].start 10392.66
transcript.whisperx[69].end 10407.346
transcript.whisperx[69].text 呂玉琳﹑同意權票 周鴻憲﹑不同意許書翔﹑同意邱文晏﹑同意鄧家基﹑同意王秀紅﹑同意呂秋慧﹑同意柯麗琳﹑不同意黃東益﹑同意
transcript.whisperx[70].start 10422.333
transcript.whisperx[70].end 10434.264
transcript.whisperx[70].text 伊萬納威﹑同意李坤澄﹑同意權票周鴻憲﹑同意許淑祥﹑同意邱文彥﹑同意鄧家基﹑同意
transcript.whisperx[71].start 10442.771
transcript.whisperx[71].end 10449.899
transcript.whisperx[71].text 王秀紅﹑同意李秋慧﹑同意柯麗玲﹑同意黃東益﹑同意伊萬納威﹑同意
transcript.whisperx[72].start 10458.513
transcript.whisperx[72].end 10487.999
transcript.whisperx[72].text 李坤澤 同意權票 周鴻憲 同意李坤澤 同意權票 周鴻憲 同意許淑祥 同意許淑祥 同意邱文燕 同意邱文燕 同意鄧家基 同意鄧家基 同意王秀紅 同意王秀紅 同意呂秋慧 同意呂秋慧 同意柯麗玲 同意柯麗玲 同意黃東益 同意黃東益 同意伊萬娜薇 同意
transcript.whisperx[73].start 10488.539
transcript.whisperx[73].end 10517.31
transcript.whisperx[73].text 伊萬奈威﹑同意李彥秀﹑同意權票周鴻憲﹑不同意李彥秀﹑同意權票周鴻憲﹑不同意許書祥﹑同意許書祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀宏﹑同意王秀宏﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗麟﹑不同意柯麗麟﹑不同意
transcript.whisperx[74].start 10518.05
transcript.whisperx[74].end 10518.912
transcript.whisperx[74].text 黃東義﹑同意李博義﹑同意權票
transcript.whisperx[75].start 10527.614
transcript.whisperx[75].end 10555.335
transcript.whisperx[75].text 周鴻燮﹑同意李柏毅﹑同意選票周鴻燮﹑同意許淑祥﹑同意許淑祥﹑同意邱文燁﹑同意邱文燁﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗麟﹑同意柯麗麟﹑同意黃東毅﹑同意黃東毅﹑同意伊萬納威﹑同意伊萬納威﹑同意
transcript.whisperx[76].start 10556.215
transcript.whisperx[76].end 10557.866
transcript.whisperx[76].text 沈柏洋﹑同意全票
transcript.whisperx[77].start 10558.584
transcript.whisperx[77].end 10586.414
transcript.whisperx[77].text 周鴻憲﹑同意沈伯陽﹑同意權票周鴻憲﹑同意許書祥﹑同意許書祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑同意柯麗玲﹑同意黃東益﹑同意黃東益﹑同意伊萬娜威﹑同意伊萬威﹑同意
transcript.whisperx[78].start 10588.498
transcript.whisperx[78].end 10617.08
transcript.whisperx[78].text 選發會 同意權票 周鴻憲 同意選發會 同意權票 周鴻憲 同意許書祥 同意許書祥 同意邱文彥 同意邱文彥 同意鄧家基 同意鄧家基 同意王秀紅 同意王秀紅 同意呂秋慧 同意呂秋慧 同意柯麗麟 同意柯麗麟 同意黃東益 同意黃東益 同意伊萬那維 同意
transcript.whisperx[79].start 10617.62
transcript.whisperx[79].end 10638.32
transcript.whisperx[79].text 伊萬娜威ﷺ同意ﷺ林月琴ﷺ同意權票ﷺ周鴻憲ﷺ同意ﷺ林月琴ﷺ同意權票ﷺ周鴻憲ﷺ同意ﷺ許書翔ﷺ同意ﷺ許書翔ﷺ同意ﷺ邱文彥ﷺ同意ﷺ邱文彥ﷺ同意ﷺ鄧家基ﷺ同意ﷺ鄧家基ﷺ同意ﷺ王秀宏ﷺ同意ﷺ王秀宏ﷺ同意ﷺ
transcript.whisperx[80].start 10639.08
transcript.whisperx[80].end 10644.485
transcript.whisperx[80].text 呂秋慧﹑同意克麗琳﹑同意黃東毅﹑同意伊萬納威﹑同意
transcript.whisperx[81].start 10651.994
transcript.whisperx[81].end 10660.804
transcript.whisperx[81].text 林佩祥同意權票.周鴻憲不同意.許淑祥同意.邱文彥同意.鄧家基同意.王秀紅同意.
transcript.whisperx[82].start 10672.357
transcript.whisperx[82].end 10678.247
transcript.whisperx[82].text 呂秋慧﹑同意柯麗玲﹑不同意黃東毅﹑同意伊萬娜威﹑同意
transcript.whisperx[83].start 10686.035
transcript.whisperx[83].end 10695.538
transcript.whisperx[83].text 凌怡瑾同意權票.周鴻憲同意.許淑祥同意.邱文彥同意.鄧家基同意.王秀紅同意.呂修慧同意.
transcript.whisperx[84].start 10708.542
transcript.whisperx[84].end 10714.813
transcript.whisperx[84].text 柯麗玲﹑同意黃東毅﹑同意伊萬娜威﹑同意林黛樺﹑同意選票
transcript.whisperx[85].start 10722.341
transcript.whisperx[85].end 10747.215
transcript.whisperx[85].text 周鴻憲﹑同意林旦化﹑同意權票﹑周鴻憲﹑同意許初祥﹑同意許初祥﹑同意邱文燕﹑同意邱文燕﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑同意柯麗玲﹑同意黃東益﹑同意黃東益﹑同意
transcript.whisperx[86].start 10749.116
transcript.whisperx[86].end 10757.84
transcript.whisperx[86].text 伊萬奈威﹑同意林俊憲﹑同意權票周鴻憲﹑同意許書祥﹑同意邱文彥﹑同意鄧家基﹑同意王秀紅﹑同意呂秋蕙﹑同意
transcript.whisperx[87].start 10776.167
transcript.whisperx[87].end 10785.876
transcript.whisperx[87].text 柯麗玲﹑同意黃東益﹑同意伊萬納威﹑同意林思敏﹑同意權票 周鴻憲﹑不同意許書祥﹑同意
transcript.whisperx[88].start 10800.683
transcript.whisperx[88].end 10811.214
transcript.whisperx[88].text 邱文彥﹑同意鄧家基﹑同意王秀紅﹑同意呂秋慧﹑同意柯麗玲﹑不同意黃東益﹑同意伊萬娜薇﹑同意
transcript.whisperx[89].start 10824.417
transcript.whisperx[89].end 10837.067
transcript.whisperx[89].text 林倩琦 同意權票 周鴻憲 不同意許書翔 同意邱文燕 同意鄧家基 同意王秀紅 同意呂秋慧 同意柯麗玲 不同意
transcript.whisperx[90].start 10853.019
transcript.whisperx[90].end 10877.831
transcript.whisperx[90].text 黃東益﹑同意黃東益﹑同意伊萬納威﹑同意伊萬納威﹑同意林國成﹑同意選票周鴻憲﹑同意林國成﹑同意選票周鴻憲﹑同意許書祥﹑同意許書祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意
transcript.whisperx[91].start 10878.376
transcript.whisperx[91].end 10904.631
transcript.whisperx[91].text 王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑不同意柯麗玲﹑不同意黃東益﹑同意黃東益﹑同意伊萬娜薇﹑不同意伊萬娜薇﹑不同意林淑芬﹑同意權票﹑周鴻憲﹑同意林淑芬﹑同意權票﹑周鴻憲﹑同意許書祥﹑同意許書祥﹑同意
transcript.whisperx[92].start 10905.205
transcript.whisperx[92].end 10914.973
transcript.whisperx[92].text 邱文燕﹑同意鄧家基﹑同意王秀紅﹑同意呂秋慧﹑同意柯麗玲﹑同意黃東益﹑同意伊萬娜薇﹑同意
transcript.whisperx[93].start 10927.028
transcript.whisperx[93].end 10939.356
transcript.whisperx[93].text 林楚英 同意權票 周鴻憲 同意徐淑祥 同意邱文燕 同意鄧家基 同意王秀紅 同意呂秋慧 同意柯麗玲 同意
transcript.whisperx[94].start 10952.277
transcript.whisperx[94].end 10968.974
transcript.whisperx[94].text 黃東益﹑同意黃東益﹑同意伊萬納威﹑同意伊萬納威﹑同意林德福﹑同意權票﹑周鴻憲﹑不同意林德福﹑同意權票﹑周鴻憲﹑不同意許書祥﹑同意
transcript.whisperx[95].start 10969.665
transcript.whisperx[95].end 10997.187
transcript.whisperx[95].text 許淑祥﹑同意丘文彥﹑同意丘文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑不同意柯麗玲﹑不同意黃東義﹑同意黃東義﹑同意伊萬納威﹑同意伊萬納威﹑同意林益君﹑同意選票周鴻憲﹑同意
transcript.whisperx[96].start 10998.362
transcript.whisperx[96].end 11027.765
transcript.whisperx[96].text 李懿君同意權票 周鴻憲同意許淑祥同意許淑祥同意邱文彥同意邱文彥同意鄧家基同意鄧家基同意王秀紅同意王秀紅同意呂秋慧同意呂秋慧同意柯麗玲不同意柯麗玲不同意黃東益同意黃東益同意伊萬娜薇不同意伊萬娜薇不同意
transcript.whisperx[97].start 11029.011
transcript.whisperx[97].end 11043.26
transcript.whisperx[97].text 邱志偉 同意權票 周鴻憲 同意許淑祥 同意邱文彥 同意鄧家基 同意王秀紅 同意呂秋慧 同意柯麗玲 同意黃東益 同意
transcript.whisperx[98].start 11056.974
transcript.whisperx[98].end 11064.679
transcript.whisperx[98].text 伊萬納威﹑同意 伊萬納威﹑同意邱振興﹑同意全票 周鴻燮﹑不同意
transcript.whisperx[99].start 11088.374
transcript.whisperx[99].end 11091.095
transcript.whisperx[99].text 你要不要從這一張從頭唸?你剛剛唸車車機中,現在怎麼唸?
transcript.whisperx[100].start 11124.634
transcript.whisperx[100].end 11146.09
transcript.whisperx[100].text 邱政軍同意權票 周鴻憲不同意許書祥同意 許書祥同意邱文彥同意 邱文彥同意鄧家基同意 鄧家基同意王秀紅同意 王秀紅同意呂秋慧同意 呂秋慧同意
transcript.whisperx[101].start 11146.752
transcript.whisperx[101].end 11159.435
transcript.whisperx[101].text 柯麗玲﹑不同意黃東益﹑同意伊萬納威﹑同意邱奕瑩﹑同意全票周鴻憲﹑同意許書祥﹑同意邱文彥﹑同意
transcript.whisperx[102].start 11173.403
transcript.whisperx[102].end 11194.998
transcript.whisperx[102].text 鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑同意柯麗玲﹑同意黃東益﹑同意黃東益﹑同意伊萬納威﹑同意伊萬納威﹑同意柯志恩﹑同意權票
transcript.whisperx[103].start 11196.01
transcript.whisperx[103].end 11202.87
transcript.whisperx[103].text 周鴻憲﹑不同意克之恩﹑同意權票﹑周鴻憲﹑不同意許初祥﹑同意
transcript.whisperx[104].start 11203.45
transcript.whisperx[104].end 11230.103
transcript.whisperx[104].text 許淑祥﹑同意丘文彥﹑同意丘文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑不同意柯麗玲﹑不同意黃冬毅﹑同意黃冬毅﹑同意伊萬納威﹑同意伊萬納威﹑同意柯建銘﹑同意權票
transcript.whisperx[105].start 11231.044
transcript.whisperx[105].end 11248.252
transcript.whisperx[105].text 周鴻憲﹑同意柯建銘﹑同意權票周鴻憲﹑同意許書祥﹑同意許書祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意
transcript.whisperx[106].start 11249.02
transcript.whisperx[106].end 11259.245
transcript.whisperx[106].text 呂秋慧﹑同意柯麗玲﹑同意黃東益﹑同意伊萬娜薇﹑同意洪孟凱﹑同意權票周鴻憲﹑不同意許書祥﹑同意邱文彥﹑同意
transcript.whisperx[107].start 11276.4
transcript.whisperx[107].end 11295.223
transcript.whisperx[107].text 鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑不同意柯麗玲﹑不同意黃東益﹑同意黃東益﹑同意伊萬納威﹑同意伊萬納威﹑同意
transcript.whisperx[108].start 11296.38
transcript.whisperx[108].end 11307.644
transcript.whisperx[108].text 范雲 同意權票 周鴻憲 同意許淑祥 同意邱文彥 同意鄧家基 同意王秀紅 同意呂秋慧 同意柯麗玲 同意
transcript.whisperx[109].start 11322.499
transcript.whisperx[109].end 11349.134
transcript.whisperx[109].text 黃東益﹑同意黃東益﹑同意伊萬納威﹑同意伊萬納威﹑同意許巧欣﹑同意權票周鴻憲﹑不同意許巧欣﹑同意權票周鴻憲﹑不同意許書祥﹑同意許書祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意
transcript.whisperx[110].start 11349.833
transcript.whisperx[110].end 11360.562
transcript.whisperx[110].text 呂秋慧﹑同意柯麗玲﹑不同意黃東益﹑同意伊萬納威﹑同意徐欣盈﹑同意權票﹑周鴻憲﹑不同意許書翔﹑同意邱文彥﹑同意
transcript.whisperx[111].start 11378.607
transcript.whisperx[111].end 11400.871
transcript.whisperx[111].text 鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑不同意柯麗玲﹑不同意黃東益﹑同意黃東益﹑同意伊萬娜薇﹑同意伊萬娜薇﹑同意徐富奎﹑同意權票
transcript.whisperx[112].start 11401.673
transcript.whisperx[112].end 11422.069
transcript.whisperx[112].text 周鴻憲﹑同意許富奎﹑同意權票周鴻憲﹑同意許書祥﹑同意許書祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意
transcript.whisperx[113].start 11422.625
transcript.whisperx[113].end 11429.79
transcript.whisperx[113].text 柯麗玲﹑同意黃東益﹑同意伊萬納威﹑同意圖權吉﹑同意權票周鴻憲﹑不同意許書祥﹑同意邱文彥﹑同意
transcript.whisperx[114].start 11447.293
transcript.whisperx[114].end 11464.526
transcript.whisperx[114].text 鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑不同意柯麗玲﹑不同意黃東益﹑同意黃東益﹑同意伊萬納威﹑同意伊萬納威﹑同意
transcript.whisperx[115].start 11467.386
transcript.whisperx[115].end 11479.751
transcript.whisperx[115].text 翁曉琳 同意權票 周鴻憲 不同意許淑祥 同意邱文彥 同意鄧家基 同意王秀紅 同意呂秋慧 同意柯麗玲 不同意
transcript.whisperx[116].start 11494.904
transcript.whisperx[116].end 11522.265
transcript.whisperx[116].text 黃東義﹑同意黃東義﹑同意伊萬納威﹑同意伊萬納威﹑同意馬文軍﹑同意權票周鴻憲﹑不同意馬文軍﹑同意權票周鴻憲﹑不同意許書祥﹑同意許書祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意
transcript.whisperx[117].start 11522.885
transcript.whisperx[117].end 11533.748
transcript.whisperx[117].text 呂秋慧﹑同意柯麗玲﹑不同意黃東益﹑同意伊萬納威﹑同意高金素梅﹑同意權票周鴻憲﹑不同意許書祥﹑同意邱文彥﹑同意
transcript.whisperx[118].start 11551.952
transcript.whisperx[118].end 11570.243
transcript.whisperx[118].text 鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑不同意柯麗玲﹑不同意黃東益﹑同意黃東益﹑同意伊萬納威﹑同意伊萬納威﹑同意
transcript.whisperx[119].start 11571.668
transcript.whisperx[119].end 11591.153
transcript.whisperx[119].text 張宏祿 同意權票 周鴻憲 同意張宏祿 同意權票 周鴻憲 同意許書祥 同意許書祥 同意邱文彥 同意邱文彥 同意鄧家基 同意鄧家基 同意王秀紅 同意王秀紅 同意
transcript.whisperx[120].start 11591.81
transcript.whisperx[120].end 11603.354
transcript.whisperx[120].text 呂秋慧﹑同意克麗玲﹑同意黃東益﹑同意伊萬娜薇﹑同意張祺凱﹑同意權票周鴻憲﹑同意許書祥﹑同意邱文彥﹑同意鄧家基﹑同意
transcript.whisperx[121].start 11620.74
transcript.whisperx[121].end 11639.23
transcript.whisperx[121].text 鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑不同意柯麗玲﹑不同意黃東益﹑同意黃東益﹑同意伊萬納威﹑不同意伊萬納威﹑不同意
transcript.whisperx[122].start 11640.63
transcript.whisperx[122].end 11654.887
transcript.whisperx[122].text 張志倫同意權票 周鴻憲不同意張志倫同意權票 周鴻憲不同意許書祥同意許書祥同意邱文彥同意邱文彥同意
transcript.whisperx[123].start 11655.621
transcript.whisperx[123].end 11674.807
transcript.whisperx[123].text 鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑不同意柯麗玲﹑不同意黃東益﹑同意黃東益﹑同意伊萬納威﹑同意伊萬納威﹑同意
transcript.whisperx[124].start 11676.21
transcript.whisperx[124].end 11700.03
transcript.whisperx[124].text 張雅玲同意權票 周鴻憲同意張雅玲同意權票 周鴻憲同意許書祥同意許書祥同意邱文彥同意邱文彥同意鄧家基同意鄧家基同意王秀紅同意王秀紅同意呂秋慧同意呂秋慧同意
transcript.whisperx[125].start 11700.558
transcript.whisperx[125].end 11709.741
transcript.whisperx[125].text 柯麗玲﹑同意黃東益﹑同意伊萬娜威﹑同意張家俊﹑同意權票周鴻憲﹑不同意許書祥﹑同意邱文彥﹑同意
transcript.whisperx[126].start 11725.607
transcript.whisperx[126].end 11744.789
transcript.whisperx[126].text 鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑不同意柯麗玲﹑不同意黃東益﹑同意黃東益﹑同意伊萬納威﹑同意伊萬納威﹑同意
transcript.whisperx[127].start 11746.159
transcript.whisperx[127].end 11756.749
transcript.whisperx[127].text 莊瑞雄 同意權票 周鴻憲 同意許淑祥 同意邱文彥 同意鄧家基 同意王秀紅 同意呂秋慧 同意
transcript.whisperx[128].start 11768.804
transcript.whisperx[128].end 11795.727
transcript.whisperx[128].text 呂秋慧﹑同意柯麗玲﹑同意柯麗玲﹑同意黃東益﹑同意黃東益﹑同意伊萬娜薇﹑同意伊萬娜薇﹑同意許宇珍﹑同意權票﹑周鴻憲﹑不同意許宇珍﹑同意權票﹑周鴻憲﹑不同意許書祥﹑同意許書祥﹑同意邱文彥﹑同意邱文彥﹑同意
transcript.whisperx[129].start 11796.42
transcript.whisperx[129].end 11821.152
transcript.whisperx[129].text 鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑不同意柯麗玲﹑不同意黃東益﹑同意黃東益﹑同意伊萬娜薇﹑同意伊萬娜薇﹑同意許季潔﹑同意權票
transcript.whisperx[130].start 11822.935
transcript.whisperx[130].end 11847.211
transcript.whisperx[130].text 周鴻憲 同意許智傑 同意權票 周鴻憲 同意許書翔 同意許書翔 同意邱文彥 同意邱文彥 同意鄧家基 同意鄧家基 同意王秀紅 同意王秀紅 同意呂秋慧 同意呂秋慧 同意柯麗玲 同意柯麗玲 同意
transcript.whisperx[131].start 11848.6
transcript.whisperx[131].end 11865.391
transcript.whisperx[131].text 黃東義﹑同意黃東義﹑同意伊萬納威﹑同意伊萬納威﹑同意郭鈺晴﹑同意權票周鴻憲﹑同意郭鈺晴﹑同意權票周鴻憲﹑同意許書祥﹑同意
transcript.whisperx[132].start 11866.267
transcript.whisperx[132].end 11893.331
transcript.whisperx[132].text 許書祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑同意柯麗玲﹑同意黃東益﹑同意黃東益﹑同意伊萬納威﹑同意伊萬納威﹑同意郭國文﹑同意全票
transcript.whisperx[133].start 11894.286
transcript.whisperx[133].end 11908.972
transcript.whisperx[133].text 周鴻憲﹑同意郭國文﹑同意權票﹑周鴻憲﹑同意許書祥﹑同意許書祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意
transcript.whisperx[134].start 11909.412
transcript.whisperx[134].end 11938.629
transcript.whisperx[134].text 王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑同意柯麗玲﹑同意黃東益﹑同意黃東益﹑同意伊萬娜薇﹑同意伊萬娜薇﹑同意陳永康﹑同意權票周鴻憲﹑不同意陳永康﹑同意權票周鴻憲﹑不同意許書祥﹑同意許書祥﹑同意
transcript.whisperx[135].start 11939.696
transcript.whisperx[135].end 11951.1
transcript.whisperx[135].text 丘文彥﹑同意鄧家基﹑同意王秀紅﹑同意呂秋慧﹑同意柯麗玲﹑不同意黃東益﹑同意伊萬娜薇﹑同意
transcript.whisperx[136].start 11964.412
transcript.whisperx[136].end 11974.822
transcript.whisperx[136].text 陳玉珍 同意權票 周鴻憲 不同意許淑祥 同意邱文彥 同意鄧家基 同意王秀紅 同意呂秋慧 同意
transcript.whisperx[137].start 11988.254
transcript.whisperx[137].end 11994.144
transcript.whisperx[137].text 柯麗玲﹑不同意黃冬奕﹑同意伊萬娜威﹑同意陳秀寶﹑同意權票
transcript.whisperx[138].start 12001.42
transcript.whisperx[138].end 12022.029
transcript.whisperx[138].text 周鴻憲﹑同意陳秀寶﹑同意權票周鴻憲﹑同意許書祥﹑同意許書祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意
transcript.whisperx[139].start 12022.469
transcript.whisperx[139].end 12028.191
transcript.whisperx[139].text 柯麗玲﹑同意黃東益﹑同意伊萬納威﹑同意陳亭飛﹑同意權票周鴻憲﹑同意
transcript.whisperx[140].start 12040.76
transcript.whisperx[140].end 12069.435
transcript.whisperx[140].text 許書祥﹑同意許書祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑同意柯麗玲﹑同意黃東益﹑同意黃東益﹑同意伊萬娜薇﹑同意伊萬娜薇﹑同意陳峻宇﹑同意全票
transcript.whisperx[141].start 12070.293
transcript.whisperx[141].end 12082.961
transcript.whisperx[141].text 周鴻憲 同意陳俊宇 同意權票 周鴻憲 同意許書翔 同意邱文彥 同意鄧家基 同意王秀紅 同意呂秋慧 同意柯麗玲 同意黃東益 同意
transcript.whisperx[142].start 12097.87
transcript.whisperx[142].end 12110.014
transcript.whisperx[142].text 伊萬納威﹑同意陳冠廷﹑同意權票周鴻憲﹑同意許書祥﹑同意邱文彥﹑同意鄧家基﹑同意王秀紅﹑同意呂秋慧﹑同意
transcript.whisperx[143].start 12125.319
transcript.whisperx[143].end 12127.842
transcript.whisperx[143].text 柯麗玲﹑同意黃東益﹑同意伊萬納威﹑同意
transcript.whisperx[144].start 12136.17
transcript.whisperx[144].end 12158.992
transcript.whisperx[144].text 陳昭之 同意權票 周鴻憲 同意陳昭之 同意權票 周鴻憲 同意許書祥 同意許書祥 同意邱文彥 同意邱文彥 同意鄧家基 同意鄧家基 同意王秀紅 同意王秀紅 同意呂秋慧 同意呂秋慧 同意
transcript.whisperx[145].start 12159.432
transcript.whisperx[145].end 12168.057
transcript.whisperx[145].text 柯麗玲﹑不同意黃東益﹑同意伊萬娜薇﹑不同意陳素月﹑同意權票周鴻憲﹑同意許書祥﹑同意邱文彥﹑同意鄧家基﹑同意
transcript.whisperx[146].start 12189.128
transcript.whisperx[146].end 12204.6
transcript.whisperx[146].text 王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑同意柯麗玲﹑同意黃東益﹑同意黃東益﹑同意伊萬娜薇﹑同意伊萬娜薇﹑同意
transcript.whisperx[147].start 12206.051
transcript.whisperx[147].end 12219.162
transcript.whisperx[147].text 陳培宇同意權票 周鴻憲同意許書翔同意邱文彥同意鄧家基同意王秀紅同意呂秋慧同意柯麗玲同意黃東益同意
transcript.whisperx[148].start 12234.153
transcript.whisperx[148].end 12249.7
transcript.whisperx[148].text 黃東義﹑同意伊萬娜薇﹑同意陳雪生﹑同意權票周鴻憲﹑不同意許書祥﹑同意邱文彥﹑同意鄧家基﹑同意王秀紅﹑同意呂秋慧﹑同意
transcript.whisperx[149].start 12261.705
transcript.whisperx[149].end 12270.251
transcript.whisperx[149].text 呂秋慧﹑同意柯麗玲﹑不同意黃東益﹑同意伊萬娜威﹑同意陳金輝﹑同意全票
transcript.whisperx[150].start 12277.887
transcript.whisperx[150].end 12305.598
transcript.whisperx[150].text 周鴻憲﹑不同意陳金輝﹑同意權票周鴻憲﹑不同意許書翔﹑同意許書翔﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑不同意柯麗玲﹑不同意黃東益﹑同意黃東益﹑同意
transcript.whisperx[151].start 12306.078
transcript.whisperx[151].end 12315.283
transcript.whisperx[151].text 伊萬納威﹑同意陳盈﹑同意選票﹑周鴻憲﹑同意許書祥﹑同意邱文彥﹑同意鄧家基﹑同意王秀紅﹑同意呂秋慧﹑同意
transcript.whisperx[152].start 12333.871
transcript.whisperx[152].end 12337.995
transcript.whisperx[152].text 柯麗玲﹑同意黃東益﹑同意伊萬納威﹑同意麥玉珍﹑同意選票
transcript.whisperx[153].start 12346.744
transcript.whisperx[153].end 12367.08
transcript.whisperx[153].text 周鴻憲﹑同意麥玉珍﹑同意權票﹑周鴻憲﹑同意許書祥﹑同意許書祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意
transcript.whisperx[154].start 12367.608
transcript.whisperx[154].end 12370.75
transcript.whisperx[154].text 柯麗玲﹑不同意黃東益﹑同意伊萬納威﹑不同意
transcript.whisperx[155].start 12379.286
transcript.whisperx[155].end 12391.396
transcript.whisperx[155].text 副坤祺 同意權票 周鴻憲 不同意許淑祥 同意邱文彥 同意鄧家基 同意王秀紅 同意呂秋慧 同意
transcript.whisperx[156].start 12402.805
transcript.whisperx[156].end 12407.409
transcript.whisperx[156].text 柯麗玲﹑不同意黃東益﹑同意伊萬納威﹑同意
transcript.whisperx[157].start 12413.226
transcript.whisperx[157].end 12423.531
transcript.whisperx[157].text 游皓同意權票 周鴻憲不同意許淑祥同意邱文彥同意鄧家基同意王秀紅同意呂秋慧同意
transcript.whisperx[158].start 12436.428
transcript.whisperx[158].end 12441.076
transcript.whisperx[158].text 柯麗玲﹑不同意黃東益﹑同意伊萬納威﹑同意
transcript.whisperx[159].start 12446.853
transcript.whisperx[159].end 12468.778
transcript.whisperx[159].text 黃秀芳同意權票 周鴻憲同意黃秀芳同意權票 周鴻憲同意許書祥同意許書祥同意邱文彥同意邱文彥同意鄧家基同意鄧家基同意王秀紅同意王秀紅同意呂秋慧同意呂秋慧同意
transcript.whisperx[160].start 12469.258
transcript.whisperx[160].end 12473.447
transcript.whisperx[160].text 柯麗玲﹑同意黃東益﹑同意伊萬納威﹑同意
transcript.whisperx[161].start 12479.927
transcript.whisperx[161].end 12490.09
transcript.whisperx[161].text 黃建斌同意權票 周鴻憲不同意許書祥同意邱文彥同意鄧家基同意王秀紅同意呂秋慧同意
transcript.whisperx[162].start 12502.774
transcript.whisperx[162].end 12505.539
transcript.whisperx[162].text 柯麗玲﹑不同意黃東益﹑同意伊萬納威﹑同意
transcript.whisperx[163].start 12513.677
transcript.whisperx[163].end 12522.021
transcript.whisperx[163].text 黃國昌 同意權票 周鴻憲 同意許書祥 同意邱文彥 同意鄧家基 同意王秀紅 同意呂秋慧 同意
transcript.whisperx[164].start 12536.627
transcript.whisperx[164].end 12539.75
transcript.whisperx[164].text 柯麗玲﹑不同意黃東益﹑同意伊萬納威﹑不同意
transcript.whisperx[165].start 12548.79
transcript.whisperx[165].end 12569.617
transcript.whisperx[165].text 黃婕同意權票 周鴻憲同意黃婕同意權票 周鴻憲同意許書祥同意許書祥同意邱文彥同意邱文彥同意鄧家基同意鄧家基同意王秀紅同意王秀紅同意呂秋慧同意呂秋慧同意
transcript.whisperx[166].start 12570.077
transcript.whisperx[166].end 12574.086
transcript.whisperx[166].text 柯麗玲﹑同意黃東益﹑同意伊萬納威﹑同意
transcript.whisperx[167].start 12580.539
transcript.whisperx[167].end 12607.112
transcript.whisperx[167].text 楊耀同意權票 周鴻憲同意楊耀同意權票 周鴻憲同意徐淑祥同意 徐淑祥同意邱文彥同意 邱文彥同意鄧家基同意 鄧家基同意王秀紅同意 王秀紅同意呂秋慧同意 呂秋慧同意柯麗玲同意 柯麗玲同意黃東益同意 黃東益同意
transcript.whisperx[168].start 12609.013
transcript.whisperx[168].end 12617.4
transcript.whisperx[168].text 伊萬納威﹑同意楊瓊英﹑同意權票周鴻憲﹑不同意許書祥﹑同意邱文彥﹑同意鄧家基﹑同意
transcript.whisperx[169].start 12630.911
transcript.whisperx[169].end 12647.294
transcript.whisperx[169].text 王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑不同意柯麗玲﹑不同意黃東益﹑同意黃東益﹑同意伊萬納威﹑同意伊萬納威﹑同意
transcript.whisperx[170].start 12649.685
transcript.whisperx[170].end 12659.855
transcript.whisperx[170].text 萬美玲同意權票 周鴻憲不同意許淑祥同意邱文彥同意鄧家基同意王秀紅同意呂秋慧同意
transcript.whisperx[171].start 12673.027
transcript.whisperx[171].end 12677.815
transcript.whisperx[171].text 柯麗玲﹑不同意黃東益﹑同意伊萬納威﹑同意
transcript.whisperx[172].start 12684.139
transcript.whisperx[172].end 12694.302
transcript.whisperx[172].text 葉元芝﹑同意權票 周鴻憲﹑不同意許書祥﹑同意邱文彥﹑同意鄧家基﹑同意王秀紅﹑同意呂秋慧﹑同意
transcript.whisperx[173].start 12705.767
transcript.whisperx[173].end 12711.739
transcript.whisperx[173].text 呂秋慧﹑同意柯麗玲﹑不同意黃東毅﹑同意伊萬納威﹑同意
transcript.whisperx[174].start 12718.035
transcript.whisperx[174].end 12727.138
transcript.whisperx[174].text 葛如君同意權票 周鴻憲不同意許淑祥同意 邱文彥同意鄧家基同意 王秀紅同意呂秋慧同意
transcript.whisperx[175].start 12741.303
transcript.whisperx[175].end 12753.688
transcript.whisperx[175].text 柯麗玲﹑不同意黃東益﹑同意伊萬納威﹑同意廖先祥﹑同意權票周鴻憲﹑不同意許書祥﹑同意邱文彥﹑同意鄧家基﹑同意
transcript.whisperx[176].start 12769.395
transcript.whisperx[176].end 12784.495
transcript.whisperx[176].text 王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑不同意柯麗玲﹑不同意黃東益﹑同意黃東益﹑同意伊萬娜薇﹑同意伊萬娜薇﹑同意
transcript.whisperx[177].start 12785.629
transcript.whisperx[177].end 12799.014
transcript.whisperx[177].text 廖偉翔 同意權票 周鴻憲 不同意許書翔 同意邱文彥 同意鄧家基 同意王秀紅 同意呂秋慧 同意柯麗玲 不同意黃東益 同意
transcript.whisperx[178].start 12815.481
transcript.whisperx[178].end 12840.569
transcript.whisperx[178].text 一萬納威﹑同意一萬納威﹑同意劉建國﹑同意權票﹑周鴻憲﹑同意劉建國﹑同意權票﹑周鴻憲﹑同意許書祥﹑同意許書祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀宏﹑同意王秀宏﹑同意呂秋慧﹑同意呂秋慧﹑同意
transcript.whisperx[179].start 12841.638
transcript.whisperx[179].end 12845.587
transcript.whisperx[179].text 柯麗玲﹑同意黃東益﹑同意伊萬納威﹑同意
transcript.whisperx[180].start 12851.144
transcript.whisperx[180].end 12864.069
transcript.whisperx[180].text 蔡奇昌 同意權票 周鴻憲 同意許淑祥 同意邱文晏 同意鄧家基 同意王秀紅 同意呂秋慧 同意柯麗玲 同意
transcript.whisperx[181].start 12877.797
transcript.whisperx[181].end 12881.226
transcript.whisperx[181].text 黃東義﹑同意伊萬納威﹑同意伊萬納威﹑同意
transcript.whisperx[182].start 12884.338
transcript.whisperx[182].end 12897.047
transcript.whisperx[182].text 蔡易瑜 同意權票 周鴻憲 同意許淑祥 同意邱文晏 同意鄧家基 同意王秀紅 同意呂秋慧 同意柯麗玲 同意黃東益 同意
transcript.whisperx[183].start 12914.52
transcript.whisperx[183].end 12915.671
transcript.whisperx[183].text 伊萬奈威 同意
transcript.whisperx[184].start 12916.978
transcript.whisperx[184].end 12946.318
transcript.whisperx[184].text 鄭天才 同意權票 周鴻憲 不同意鄭天才 同意權票 周鴻憲 不同意許書翔 同意許書翔 同意邱文燕 同意邱文燕 同意鄧家基 同意鄧家基 同意王秀紅 同意王秀紅 同意呂秋慧 同意呂秋慧 同意柯麗麟 不同意柯麗麟 不同意黃東益 同意黃東益 同意
transcript.whisperx[185].start 12946.818
transcript.whisperx[185].end 12957.635
transcript.whisperx[185].text 一萬納威.同意一萬納威.同意鄭正前.同意權票.周鴻憲.不同意鄭正前.同意權票.周鴻憲.不同意
transcript.whisperx[186].start 12958.508
transcript.whisperx[186].end 12982.468
transcript.whisperx[186].text 許書祥ﷺ同意ﷺ許書祥ﷺ同意ﷺ邱文彥ﷺ同意ﷺ邱文彥ﷺ同意ﷺ鄧家基ﷺ同意ﷺ鄧家基ﷺ同意ﷺ王秀宏ﷺ同意ﷺ王秀宏ﷺ同意ﷺ呂秋慧ﷺ同意ﷺ呂秋慧ﷺ同意ﷺ柯麗麟ﷺ不同意ﷺ柯麗麟不同意ﷺ黃東毅ﷺ同意ﷺ黃東毅ﷺ同意ﷺ伊萬納威ﷺ同意ﷺ伊萬納威ﷺ同意ﷺ
transcript.whisperx[187].start 12983.696
transcript.whisperx[187].end 13012.174
transcript.whisperx[187].text 魯明哲﹑同意權票周鴻憲﹑不同意魯明哲﹑同意權票周鴻憲﹑不同意許書祥﹑同意許書祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗麟﹑不同意柯麗麟﹑不同意黃東益﹑同意黃東益﹑同意
transcript.whisperx[188].start 13012.634
transcript.whisperx[188].end 13021.842
transcript.whisperx[188].text 伊萬納威﹑同意盧憲英﹑同意權票周鴻憲﹑不同意許淑祥﹑同意邱文彥﹑同意鄧家基﹑同意王秀紅﹑同意呂秋慧﹑同意
transcript.whisperx[189].start 13039.096
transcript.whisperx[189].end 13043.484
transcript.whisperx[189].text 柯麗玲﹑不同意黃東毅﹑同意伊萬納威﹑同意
transcript.whisperx[190].start 13050.257
transcript.whisperx[190].end 13076.895
transcript.whisperx[190].text 賴仕寶﹑同意權票 周鴻憲﹑不同意賴仕寶﹑同意權票 周鴻憲﹑不同意許書祥﹑同意許書祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗麟﹑不同意柯麗麟﹑不同意黃東益﹑同意黃東益﹑同意
transcript.whisperx[191].start 13078.556
transcript.whisperx[191].end 13084.587
transcript.whisperx[191].text 伊瓦納威﹑同意賴慧媛﹑同意全票
transcript.whisperx[192].start 13085.327
transcript.whisperx[192].end 13098.43
transcript.whisperx[192].text 周鴻憲 同意賴慧媛 同意權票 周鴻憲 同意徐淑祥 同意邱文晏 同意鄧家基 同意王秀紅 同意呂秋慧 同意柯麗玲 同意黃東益 同意伊萬娜薇 同意
transcript.whisperx[193].start 13115.628
transcript.whisperx[193].end 13141.366
transcript.whisperx[193].text 賴銳榮﹑同意權票﹑周鴻憲﹑同意賴銳榮﹑同意權票﹑周鴻憲﹑同意許書祥﹑同意許書祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗麟﹑同意柯麗麟﹑同意黃東益﹑同意黃東益﹑同意
transcript.whisperx[194].start 13141.826
transcript.whisperx[194].end 13143.092
transcript.whisperx[194].text 伊瓦納維 同意
transcript.whisperx[195].start 13146.398
transcript.whisperx[195].end 13160.186
transcript.whisperx[195].text 謝宜奉同意選票.周鴻憲不同意.許淑祥同意.邱文彥同意.鄧家基同意.王秀紅同意.呂秋慧同意.柯麗玲不同意.黃東益同意.伊萬拿維同意.
transcript.whisperx[196].start 13175.855
transcript.whisperx[196].end 13176.944
transcript.whisperx[196].text 伊萬娜威 同意
transcript.whisperx[197].start 13178.515
transcript.whisperx[197].end 13191.105
transcript.whisperx[197].text 謝龍介 同意權票 周鴻憲 不同意許書翔 同意邱文晏 同意鄧家基 同意王秀紅 同意呂秋慧 同意柯麗玲 不同意黃東益 同意
transcript.whisperx[198].start 13207.017
transcript.whisperx[198].end 13208.322
transcript.whisperx[198].text 伊瓦納維﹑同意
transcript.whisperx[199].start 13211.059
transcript.whisperx[199].end 13237.297
transcript.whisperx[199].text 鍾嘉斌﹑同意權票周鴻憲﹑同意鍾嘉斌﹑同意權票周鴻憲﹑同意許淑祥﹑同意許淑祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀宏﹑同意王秀宏﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗麟﹑同意柯麗麟﹑同意黃東益﹑同意黃東益﹑同意
transcript.whisperx[200].start 13239.259
transcript.whisperx[200].end 13240.445
transcript.whisperx[200].text 一萬二位(同意
transcript.whisperx[201].start 13245.577
transcript.whisperx[201].end 13258.586
transcript.whisperx[201].text 韓國瑜 同意權票 周鴻憲 不同意許書翔 同意邱文晏 同意鄧家基 同意王秀紅 同意呂秋慧 同意柯麗麟 不同意黃東益 同意
transcript.whisperx[202].start 13274.557
transcript.whisperx[202].end 13275.826
transcript.whisperx[202].text 伊萬納威 同意
transcript.whisperx[203].start 13279.631
transcript.whisperx[203].end 13306.092
transcript.whisperx[203].text 嚴寬恆﹑同意權票周鴻憲﹑不同意嚴寬恆﹑同意權票周鴻憲﹑不同意許書翔﹑同意許書翔﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗麟﹑不同意柯麗麟﹑不同意黃東益﹑同意黃東益﹑同意
transcript.whisperx[204].start 13307.833
transcript.whisperx[204].end 13333.806
transcript.whisperx[204].text 一萬納威﹑同意一萬納威﹑同意羅廷偉﹑同意權票周鴻憲﹑不同意羅廷偉﹑同意權票周鴻憲﹑不同意許書祥﹑同意許書祥﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意
transcript.whisperx[205].start 13334.426
transcript.whisperx[205].end 13337.252
transcript.whisperx[205].text 柯麗玲﹑不同意黃東益﹑同意伊萬納威﹑同意
transcript.whisperx[206].start 13344.805
transcript.whisperx[206].end 13357.748
transcript.whisperx[206].text 羅明才 同意選票 周鴻憲 不同意許書翔 同意邱文晏 同意鄧家基 同意王秀紅 同意呂秋慧 同意柯麗玲 不同意黃東益 同意
transcript.whisperx[207].start 13374.232
transcript.whisperx[207].end 13380.921
transcript.whisperx[207].text 一萬二位(同意一萬二位(同意羅美玲(同意全票
transcript.whisperx[208].start 13382.509
transcript.whisperx[208].end 13410.909
transcript.whisperx[208].text 周鴻憲﹑同意羅美玲﹑同意權票周鴻憲﹑同意許書翔﹑同意許書翔﹑同意邱文彥﹑同意邱文彥﹑同意鄧家基﹑同意鄧家基﹑同意王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑同意柯麗玲﹑同意黃東益﹑同意黃東益﹑同意伊萬納威﹑同意伊萬納威﹑同意
transcript.whisperx[209].start 13412.408
transcript.whisperx[209].end 13420.853
transcript.whisperx[209].text 羅志強 同意選票 周鴻憲 不同意許書祥 同意邱文彥 同意鄧家基 同意王秀紅 同意
transcript.whisperx[210].start 13432.24
transcript.whisperx[210].end 13437.964
transcript.whisperx[210].text 呂秋慧﹑同意柯麗玲﹑不同意黃東毅﹑同意伊瓦納威﹑同意
transcript.whisperx[211].start 13445.667
transcript.whisperx[211].end 13459.892
transcript.whisperx[211].text 蘇巧慧 同意權票 周鴻憲 同意許淑祥 同意邱文彥 同意鄧家基 同意王秀紅 同意呂秋慧 同意柯麗玲 同意黃東益 同意
transcript.whisperx[212].start 13473.857
transcript.whisperx[212].end 13485.203
transcript.whisperx[212].text 伊萬納威﹑同意蘇清泉﹑同意選票周鴻憲﹑不同意許淑祥﹑同意邱文彥﹑同意鄧家基﹑同意
transcript.whisperx[213].start 13495.228
transcript.whisperx[213].end 13511.682
transcript.whisperx[213].text 王秀紅﹑同意王秀紅﹑同意呂秋慧﹑同意呂秋慧﹑同意柯麗玲﹑不同意柯麗玲﹑不同意黃東益﹑同意黃東益﹑同意伊萬納威﹑同意伊萬納威﹑同意
transcript.whisperx[214].start 13642.239
transcript.whisperx[214].end 13652.585
transcript.whisperx[214].text 邱若驊同意選票 周鴻憲不同意許書翔同意邱文彥同意鄧家基同意王秀紅同意呂秋蕙不同意
transcript.whisperx[215].start 13668.394
transcript.whisperx[215].end 13672.779
transcript.whisperx[215].text 柯麗玲﹑無效票黃東毅﹑同意伊萬納威﹑同意
transcript.whisperx[216].start 13680.914
transcript.whisperx[216].end 13691.804
transcript.whisperx[216].text 陳超明 同意權票 周鴻憲 不同意許書祥 同意邱文彥 同意鄧家基 同意王秀紅 同意呂秋慧 同意
transcript.whisperx[217].start 13706.721
transcript.whisperx[217].end 13709.843
transcript.whisperx[217].text 柯麗玲﹑無效票黃東毅﹑同意伊萬納威﹑同意
transcript.whisperx[218].start 13718.446
transcript.whisperx[218].end 13728.573
transcript.whisperx[218].text 黃仁 同意權票 周鴻憲 不同意許書祥 同意邱文彥 同意鄧家基 同意王秀紅 同意呂秋慧 同意
transcript.whisperx[219].start 13742.762
transcript.whisperx[219].end 13745.746
transcript.whisperx[219].text 柯麗玲﹑無效票黃東毅﹑同意伊萬納威﹑同意
transcript.whisperx[220].start 13754.791
transcript.whisperx[220].end 13780.454
transcript.whisperx[220].text 黃珊珊同意選票周鴻憲同意黃珊珊同意選票周鴻憲同意許初祥同意許初祥同意邱文彥同意邱文彥同意鄧家基同意鄧家基同意王秀紅同意王秀紅同意呂秋慧同意呂秋慧同意柯麗玲無效票
transcript.whisperx[221].start 13781.095
transcript.whisperx[221].end 13785.541
transcript.whisperx[221].text 柯麗玲﹑無效票黃東毅﹑同意伊萬納威﹑不同意
transcript.whisperx[222].start 14722.383
transcript.whisperx[222].end 14741.57
transcript.whisperx[222].text 報告委員會我們現在報告投票表決結果立法院行使考試院長、副院長及考試委員同意權投票表決結果朱鴻憲同意票59票不同意票53票無效票0票
transcript.whisperx[223].start 14742.865
transcript.whisperx[223].end 14751.837
transcript.whisperx[223].text 許書祥同意票112票不同意票0票無效票0票邱文彥同意票112票
transcript.whisperx[224].start 14754.312
transcript.whisperx[224].end 14781.421
transcript.whisperx[224].text 不同意票0票.無效票0票鄧家基同意票112張.不同意0張.無效票0張王秀紅同意票112張.不同意票0張.無效票0張呂秋慧同意票111張.不同意票1張.無效票0張
transcript.whisperx[225].start 14783.595
transcript.whisperx[225].end 14809.515
transcript.whisperx[225].text 柯麗玲同意票51張不同意票57張無效票4張黃東毅同意票112張不同意票0張無效票0張伊萬娜薇同意票104票不同意票8票無效票0張
transcript.whisperx[226].start 14812.219
transcript.whisperx[226].end 14826.025
transcript.whisperx[226].text 現在我們做以下決議一、周鴻憲獲得超過全體立法委員二分之一同意票依法同意為考試院第14屆院長二、
transcript.whisperx[227].start 14829.538
transcript.whisperx[227].end 14851.424
transcript.whisperx[227].text 許書祥獲得超過全體立法委員二分之一同意票.依法同意為考試院第14屆副院長.三、邱文彥、鄧家基.王秀紅、呂秋慧.黃東毅、伊萬娜薇等6位.
transcript.whisperx[228].start 14852.386
transcript.whisperx[228].end 14860.572
transcript.whisperx[228].text 均獲得超過立法委員二分之一同意票。依法同意為考試院第14屆考試委員。4、柯麗玲
transcript.whisperx[229].start 14865.871
transcript.whisperx[229].end 14890.122
transcript.whisperx[229].text 未獲得超過全體立法委員.二分之一同意票.依法不同意.為考試院第14屆考試委員.中華民國113年12月17日.投開票監察員.翁曉琳委員.李坤城委員.麥玉珍委員.
transcript.whisperx[230].start 14893.987
transcript.whisperx[230].end 14920.355
transcript.whisperx[230].text 有關各黨團.對考試院被提名人所提書面問題.及被提名人書面答覆之相關資料.我們補列入公報紀錄。上午會議進行到此為止.下午2點30分.我們繼續開會.進行112年度.中央政府總決算審核報告案.之報告及諮詢.現在休息。謝謝三位監察委員。
transcript.whisperx[231].start 14926.461
transcript.whisperx[231].end 14930.507
transcript.whisperx[231].text 謝謝謝榮介委員謝謝大家謝謝所有工作夥伴謝謝
transcript.whisperx[232].start 17237.444
transcript.whisperx[232].end 17237.525
transcript.whisperx[232].text 是否有當?請公決
transcript.whisperx[233].start 17308.997
transcript.whisperx[233].end 17309.079
transcript.whisperx[233].text 是否有當?請公決
transcript.whisperx[234].start 21594.568
transcript.whisperx[234].end 21595.209
transcript.whisperx[234].text 主席、各位委員、女士、先生答應審議綜合
transcript.whisperx[235].start 21624.841
transcript.whisperx[235].end 21644.042
transcript.whisperx[235].text 中華民國112年度中央政府總結算.總結算副屬單位結算.及重計表營業部分.非營業部分.等審核報告.今天應要列行報告審核情形.自感榮幸.僅二要報告如次.一、總結算部分.112年度稅務結算.
transcript.whisperx[236].start 21647.661
transcript.whisperx[236].end 21673.624
transcript.whisperx[236].text 損定為兩兆九千零七十三億元.稅出結算.損定為兩兆六千兩百七十七億元.稅日稅出相抵.剩餘兩千七百九十六億元.債務之償還結算.一千兩百六十億元.經兆數損定.收支剩餘計一千五百三十六億元.
transcript.whisperx[237].start 21675.25
transcript.whisperx[237].end 21694.452
transcript.whisperx[237].text 一百一十二年度國營事業結算.準定總收入三兆五千億元.總支出三兆四千億元.淨利為五百九十八億元.繳庫股息紅利.準定為兩千零五十二億元.
transcript.whisperx[238].start 21695.916
transcript.whisperx[238].end 21712.601
transcript.whisperx[238].text 一百一十二年度徽營業特種基金結算.損定收入三兆六千七百七十億元.總支出三兆五千六百九十四億元.剩餘為一千零八十三億元.損遞結繳工庫兩百億元.二、稅入稅出以
transcript.whisperx[239].start 21718.655
transcript.whisperx[239].end 21732.379
transcript.whisperx[239].text 收支之平衡.政府助推動財政健全方案以來.財政收支結構.逐步改善.截至113年10月抵止.一年以上.債務未償已有.實際市為5兆8780億以延.三、審核綜合成果.
transcript.whisperx[240].start 21739.659
transcript.whisperx[240].end 21768.695
transcript.whisperx[240].text 各措審核報告.共計提出619項.重要審核意見.其中.屬住住.規章缺失或設施不良.而提出建議意見.129項.四、重要審核意見.本部就政府重要施政計畫.及攸關民生之重要議題.等施以查核.並研提重要審核意見.之災藥報告如次.一.
transcript.whisperx[241].start 21769.71
transcript.whisperx[241].end 21796.33
transcript.whisperx[241].text 政府未建立國家氣候變遷條數推動機制.合定國家氣候變遷條數行動方案.辦理125項的條數行動計畫.為部分計畫未進行脆弱度減量評估.後未切實辦理氣候變遷風險評估作業.又尚未完成氣候變遷風險評估.準則等相關主法的訂定.二
transcript.whisperx[242].start 21800.47
transcript.whisperx[242].end 21823.876
transcript.whisperx[242].text 這行政院自100年通過改善所得分配具體方案.對於減緩所得分配.不經既有注意.為107年至111年我國所得分配.不經程度及所得差異倍數.容維護擴大.租稅改善所得分配效果有限.又青年除夕低薪.社會住宅及資金補貼.
transcript.whisperx[243].start 21826.439
transcript.whisperx[243].end 21854.389
transcript.whisperx[243].text 解決弱勢機制問題.經濟弱勢學生輔助之成效.容待提升.三、政府為強化食品衛生安全.於105年間提出食安五環政策.由農業部、衛生福利部.等五個主管機關共同執行.截至112年抵制.以納管65萬家食品業者.公告33例業者實施食品.
transcript.whisperx[244].start 21855.069
transcript.whisperx[244].end 21877.03
transcript.whisperx[244].text 安全監測計畫.為對於邊境檢驗措施.檢出不合格產品.為即時因應調整查驗強度.施股殘留農藥含量超標.諸違規案件逐年攀升.化學營尚無法跨部會進行.化學物主流向之勾擊比對作業。是
transcript.whisperx[245].start 21880.188
transcript.whisperx[245].end 21893.59
transcript.whisperx[245].text 政府為打擊詐欺定班.新世代打擊詐欺行動干營1.5版.112年度投入經費8億元.以計相當執行成果.為詐騙手法層出不窮.112年度詐欺案件.擁有3萬一件.財損金額88億元.由於投資詐欺最為嚴重.有待除夕整合租源.精進各項執行策略.
transcript.whisperx[246].start 21909.173
transcript.whisperx[246].end 21929.072
transcript.whisperx[246].text 五、政府為解決老屋耐震能力不足問題.並促進都市土地開發利用.至108年辦理都市更新發展計畫.截至112年度之.累計核定1130件都更案.及341
transcript.whisperx[247].start 21933.788
transcript.whisperx[247].end 21953.572
transcript.whisperx[247].text 3414件危老重建案.全國屋齡超過30年以上之老屋.與全國總房屋之辦事.令雙北地區三角斷層沿線老舊市區.及0403大地震過後之危險.建築物所在區域.上代儘速劃定更新地區。6
transcript.whisperx[248].start 21957.461
transcript.whisperx[248].end 21983.96
transcript.whisperx[248].text 政府為除夕改善道路交通安全.推動道路交通助溪與交通安全改進方案.為112年度交通速度死亡人數3023人.為達方案下降目標.且遏少發生交通速度死亡人數增加.令補助地方政府.辦理提升道路品質計畫.作為衛生周圓.完工後消費指標為達目標.
transcript.whisperx[249].start 21987.062
transcript.whisperx[249].end 22009.935
transcript.whisperx[249].text 7、政府為推動應應超高齡社會對策方案.112年度投入經費259億元.推動了345項工作.整體達成例A94.49%.為對策方案各變相的工作.規劃工作比重差異擴大.政策措施擁有擴增空間.
transcript.whisperx[250].start 22012.856
transcript.whisperx[250].end 22037.269
transcript.whisperx[250].text 日照中心及社區關懷祭典.部件比例容待提升.不問勞動法令尚未配合檢修調適.就業環境容普遍存在年齡氣勢現象.8、政府為改善投資環境推動.投資臺灣三大方案.核定產業投資五大要素優化政策.截至112年度值.核定投資案件.
transcript.whisperx[251].start 22038.305
transcript.whisperx[251].end 22064.359
transcript.whisperx[251].text 一千四百一件.投資均有兩兆一千七百二十二億元.為政策法規定定標準.為明確部分.優化投資環境計劃執行進度落後.台山匯回資金應用於產業實質投資未及六成.一半是案件尚未完成投資.且樹地性產業用地.擁有不足.供電品質亦待強化.
transcript.whisperx[252].start 22067
transcript.whisperx[252].end 22079.787
transcript.whisperx[252].text 9、政府為應應思維科技相關專業人才﹐需求除息增加﹐推動關鍵人才培育及延攬方案﹐截至112年度值﹐累計投入經費67億元﹐110至112年學年度與合併扣充﹐
transcript.whisperx[253].start 22084.91
transcript.whisperx[253].end 22103.221
transcript.whisperx[253].text 科學技術工程及數學領域系統.招生名額19,247人.為為有效舒緩人才短期情況.國家發展委員會.為掌握海外人才資料庫.就業金卡.取得及來台就業狀況.積極延攬國際人才.
transcript.whisperx[254].start 22107.634
transcript.whisperx[254].end 22129.746
transcript.whisperx[254].text 十、政府為推進.促進數位國家.以創新積極發展.推動諸位國家方案.110年至112年度.累入投入經費920億元.對於提升我國數位領域競爭優勢.既有相當注意.為部分部會.商會防備AI法治配套測試.營單聯網中心.上華國際海欄業者參與.
transcript.whisperx[255].start 22135.129
transcript.whisperx[255].end 22163.602
transcript.whisperx[255].text 低軌通信衛星計畫.部分關鍵技術及研究開發時程未如預期.影響衛星發射時程.本部向來秉持以民為本的審計理念.計較攸關國際民生的政府重要施政.近5年共計已提出57篇專章.其中112年度有17篇.內容涵蓋氣候變遷.及炸期首度分配食品安全.
transcript.whisperx[256].start 22165.083
transcript.whisperx[256].end 22176.392
transcript.whisperx[256].text 智慧國家及智慧運輸等17個議題.所提相關重要審核意見.經行政院及各有關主管機關.積極研磨改善.主要列舉如處.一、應應
transcript.whisperx[257].start 22179.56
transcript.whisperx[257].end 22194.887
transcript.whisperx[257].text 7.2變遷方面.政府為推動近隱轉型.未來公佈人家規劃授助永系長.與民間同步落實近隱轉型.令研擬7.2變遷方針.評估作為準則裁判.後續將依法定程序公告搬行
transcript.whisperx[258].start 22196.325
transcript.whisperx[258].end 22210.24
transcript.whisperx[258].text 二、改善所得方面.行政院於今年113年7月.設立了經濟發展委員會.以將所得分配合理化.提高低薪對策.資本利得與薪資課稅等.列入討論解決範疇.並由各部會其次.持續推動交易.
transcript.whisperx[259].start 22215.482
transcript.whisperx[259].end 22241.182
transcript.whisperx[259].text 機制、租稅等對策方案.令114年度.將調整基本公積4.08%.及金工教條新.新出待遇.3%.其發揮速範效果.帶動企業調新.三、打擊.加強打擊詐欺方面.大院已三讀通過打詐新釋法.行政院並設置打詐指揮中心.定打詐.
transcript.whisperx[260].start 22242.183
transcript.whisperx[260].end 22258.143
transcript.whisperx[260].text 行綱綱領2.0先速全力打造是建構安基環境方面.以協助.地方政府應用〈0403大地震信訊劃定都市更新第7、36案.
transcript.whisperx[261].start 22260.793
transcript.whisperx[261].end 22276.364
transcript.whisperx[261].text 復訂全國都更1167件.及違牢重建案3721件.立復續推動新建社會住宅資金補貼等多元基礎政策.五、應用超高齡社會方面復續佈建長照機構.整體長照服務涵蓋率達80.19%.
transcript.whisperx[262].start 22282.128
transcript.whisperx[262].end 22295.971
transcript.whisperx[262].text 新增壯樹袋就業促進撤出.鼓勵壯樹袋.持續投入勞動庶長.配合政府推動國家希望工程施政重點.及呼應各界普遍關注的議題.
transcript.whisperx[263].start 22297.165
transcript.whisperx[263].end 22320.514
transcript.whisperx[263].text 本部已將政府推動近年轉型打擊詐欺改善所得分配、輪才培育政府、諸會政府等重要施政納為113及114年度的查核工作重點.將除夕加強查核.發揮審計功能.眾上請請主席、各位委員、女士、先生、主教謝謝
transcript.whisperx[264].start 22326.561
transcript.whisperx[264].end 22326.641
transcript.whisperx[264].text 謝謝陳審計長的報告
transcript.whisperx[265].start 22330.967
transcript.whisperx[265].end 22358.968
transcript.whisperx[265].text 我們即將進行委員的諮詢在進行諮詢之前向各位介紹我們在一場二樓旁聽的臺北市百齡高中國中部的同學我們掌聲歡迎各位國家未來主人翁歡迎你們接下來向各位委員院會報告一下每位委員的詢答時間不得超過15分鐘輪到諮詢的委員如果不在場適同棄權首先我們請鍾嘉斌委員詢問
transcript.whisperx[266].start 22371.074
transcript.whisperx[266].end 22383.706
transcript.whisperx[266].text 主席、在場的議事公務人員、省紀長及隨同官員、以旁聽信老、國民今天我們就來就省紀部來進行諮詢那主席邀請省紀長麻煩請省紀理長
transcript.whisperx[267].start 22395.786
transcript.whisperx[267].end 22421.899
transcript.whisperx[267].text 總委員好陳議長好我今天的題目很清楚落實救安基金合規運用而且要強化審計的最終主導功能我想每次我跟您請教我都會跟您確認一下我們審計部的功能因為外界不是很了解所以我請教一下審計的職權是不是有包括合法性審計、績效性審計跟記憶查財務的維持是包含這三大部分的面向功能
transcript.whisperx[268].start 22422.699
transcript.whisperx[268].end 22438.596
transcript.whisperx[268].text 那麼在於財務審計的部分根據審計法第二條你們包括監督預算的執行並且要審核財務的收支對吧對那你們在績效審計的部分根據你們的審計法第69條如果機關未盡職責者你們要報告他的上級機關甚至要報告監察院對嗎
transcript.whisperx[269].start 22440.014
transcript.whisperx[269].end 22462.447
transcript.whisperx[269].text 那如果是因為不是因為預算的問題是他你們發現是制度的缺失或者是有設施不良你們要提出改善的建議對嗎對那如果你們發現不是他沒有做而不是他做得不好是他沒有做有些可以增進公益的你們也可以建議機關要去做吧是吧對對那另外呢雖然還沒發生但是你們看到有潛在的風險你們要提出預警的意見是不是
transcript.whisperx[270].start 22462.907
transcript.whisperx[270].end 22491.825
transcript.whisperx[270].text 是的好所以省基部的功能很重要你同意嗎同意好那我們來問一下這個特題你知道就業安定基金吧就業安定基金的來源跟用途你大概知道嗎加強國民就業好它大概有將近八成是來自於僱主使用國外移工必須繳的費用它其中的包含三個作用第一它辦理有關這個國民就業第二要提供勞工的福祉第三它要處理有關外國人的
transcript.whisperx[271].start 22492.813
transcript.whisperx[271].end 22519.919
transcript.whisperx[271].text 拼固管理好 那我們來看一下112年度到底用了哪些你覺得哪個部分用了最多錢提振勞工福祉5%外國人的拼固管理11%用最多的是不是促進本國國民的就業對的好 那你認為在疫情期間我們提供本國人的薪資補貼算不算算那如果像花東大地震災後的災民他的從晚就業這算不算算
transcript.whisperx[272].start 22520.438
transcript.whisperx[272].end 22535.887
transcript.whisperx[272].text 好那我們看下一頁那如果說以這次勞發署北分署他用來裝修他分署長他的辦公室安裝軌道燈花了140多萬這算不算救安基金的合法用途這有點勉強
transcript.whisperx[273].start 22538.277
transcript.whisperx[273].end 22539.117
transcript.whisperx[273].text 為什麼這些人員要中央一條片來指派?
transcript.whisperx[274].start 22559.514
transcript.whisperx[274].end 22578.731
transcript.whisperx[274].text 因為要獨立要獨立要內部集合要集合這個機關首長有沒有內機內控對不對對如果以這個北分署來講把救安基因拿去裝修首長的辦公室誰應該發現是不是主計或會計主任要發現說不能核銷應該那如果他核銷了那這個主計主任是不是失職
transcript.whisperx[275].start 22586.147
transcript.whisperx[275].end 22601.176
transcript.whisperx[275].text 那另外人事主任.如果機關內部的員工.經常超時加班加日來加班.那這個人事主任是否發現有異常.表示首長的內部的人事派遣猜情有問題.要不要提出報告要如果沒有提出來.人事主任有沒有失職
transcript.whisperx[276].start 22603.019
transcript.whisperx[276].end 22610.432
transcript.whisperx[276].text 好那最後一個政風如果機關內部這麼多問題政風一定會接到檢舉如果今天政風接到檢舉沒有來查辦政風有沒有失職
transcript.whisperx[277].start 22613.784
transcript.whisperx[277].end 22638.592
transcript.whisperx[277].text 應該有好那我們看這些都是中央一條邊指派到各機關像勞分署這是四級機關那他們跟首長的關係他是要監督跟輔佐首長對不對對如果被首長摸摸頭了他們完全失禁內部的紀錄功能誰來監督這些幕僚機關你覺得誰還可以監督他他來監督首長的結果他自己卻同流合污怎麼辦
transcript.whisperx[278].start 22641.732
transcript.whisperx[278].end 22651.593
transcript.whisperx[278].text 我請教他要報告他的上級他就是被摸頭啦被收買啦他同流合污啊來我們來看一看審計單位的職能他是一個外部監督政府財政
transcript.whisperx[279].start 22652.503
transcript.whisperx[279].end 22673.031
transcript.whisperx[279].text 一個政府機關你們審計室各界審計室是每年要跟這些行政機關中央地方跟他看他的審計報告跟他調一些數據出來做一些審查對不對對你覺得審計部跟你們的審計室有沒有可能去發掘機關內部政風人士跟會計他出了問題有沒有可能發掘
transcript.whisperx[280].start 22675.413
transcript.whisperx[280].end 22683.019
transcript.whisperx[280].text 如果他在預算的資料上有問題就地抽查以後有可能發生有可能如果你們發生問題你們要怎麼做我沒退
transcript.whisperx[281].start 22684.895
transcript.whisperx[281].end 22707.148
transcript.whisperx[281].text 你們怎麼做?會移送,像這個未競組者會移送他的相關單位。如果是財務上設有不法或重大違私,你們要移送上級機關,或交給監察院或司法機關嗎?對。所以這一件,勞發署的北分署可能有這個問題,你們就會做這樣的行為嗎?對不對?對。那如果是預算執行校能部長你們突出審核報告,你們機關回覆審核意見之後,
transcript.whisperx[282].start 22708.129
transcript.whisperx[282].end 22728.954
transcript.whisperx[282].text 他要負政治責任嘛,所長負政治責任嘛,是不是這樣?對,對。所以一個是政治責任,一個是法律跟刑法上或受懲戒的責任,是不是有這個,你們有這個能力?審計報告可以敦促機關所長面對他的政治責任,或者是他要去面對他因為違法,他的法律責任跟刑事或公務員受懲處的責任,是不是這是你們的責任?對。
transcript.whisperx[283].start 22730.185
transcript.whisperx[283].end 22739.571
transcript.whisperx[283].text 沒有錯齁好那請問你認為目前審計部你們年度的審計報告還有你們手下的審計室有沒有對中央或地方機關達到這樣的功能
transcript.whisperx[284].start 22741.402
transcript.whisperx[284].end 22765.823
transcript.whisperx[284].text 應該我們都有你有沒有統計有有那你們目前因為你們的審計報告發掘出這些不管是預算執行效能不彰還是因為機關內部設有不法或重大違私要負起法律責任或刑事責任或移送監察院懲戒的有沒有有那大概怎麼樣數字怎麼樣每年怎麼樣存報監察案這五年一千多件一千多件移送涉及刑事案件2859案是
transcript.whisperx[285].start 22769.656
transcript.whisperx[285].end 22798.063
transcript.whisperx[285].text 通知各機關查明處分的有2037人次剛剛講的增進財務效能的建議和重要審核意見我們這五年提出了一萬兩千多件那這樣的成績你滿意嗎?這樣的成績你滿意嗎?因為沈記長也有沈記單位你滿意嗎?我們會盡量再來加油那像勞發署、北分署這個情況你們有沒有查出來?有有,那你們做出了什麼樣的一個處置?
transcript.whisperx[286].start 22799.923
transcript.whisperx[286].end 22821.632
transcript.whisperx[286].text 第一個他的未競逐責的他有那個採購異常的我們就移送檢調那檢察院呢未競逐責的我們依照我們的損計劃第69條移送監察院你們送了沒有最近這個報告正在加快啦全國都在看好我接下一個問題好來
transcript.whisperx[287].start 22822.964
transcript.whisperx[287].end 22833.347
transcript.whisperx[287].text 先問你,先有田才有水,水田水田,是先有田才有水,還是先有水才有田?應該先有水才有田,因為是農作物。水資源是影響農業產量的重要關鍵因素。我們看到這幾年來,我們的農業部的農田水利建設,從127億成長200億,到接下來2025年下來會有212億。
transcript.whisperx[288].start 22848.471
transcript.whisperx[288].end 22859.693
transcript.whisperx[288].text 你認為﹐農田水利設施的更新改善﹐跟軍務的復興、快遇整合﹐還有精準化的灌溉措施﹐以擴大灌牌戶﹐你覺得哪一項影響農民﹐哪一項要最優先做﹐
transcript.whisperx[289].start 22861.956
transcript.whisperx[289].end 22888.652
transcript.whisperx[289].text 這事項都很重要 但是 農田水利設施更新改善這是影響最大那我們來看一下 現在農業部說怎麼樣他說沒有灌溉用水當然影響到農民耕作所以他們做到了 擴大灌溉服務達到五萬六千公頃過去水利會的時代有分灌區內他才處理 灌區外的不處理現在灌區外的農民認為有需要他可以跟農田水利組織申請農田會幫他做這些農田水利設施 對不對
transcript.whisperx[290].start 22891.494
transcript.whisperx[290].end 22904.382
transcript.whisperx[290].text 好那請問一下如果我的農田原來在你們的灌區外現在你說願意幫我服務我就提出申請在你還沒有幫我做之前請問我的農地上沒有辦法好好的發揮農業效應農業部怎麼辦農民怎麼辦
transcript.whisperx[291].start 22908.38
transcript.whisperx[291].end 22912.986
transcript.whisperx[291].text 如果灌溉設施未完善,主管機關要不要制定補償措施?
transcript.whisperx[292].start 22927.243
transcript.whisperx[292].end 22944.762
transcript.whisperx[292].text 應該有目前國土計劃法我們的農業發展區有第一類第二類還有其他類但是我被化了為農業發展區之後我就限制我做其他的使用但是如果政府的灌開措施設施還沒有到我進來我沒辦法做我的農田發展那你覺得政府有沒有意外補償
transcript.whisperx[293].start 22945.936
transcript.whisperx[293].end 22966.551
transcript.whisperx[293].text 你限定了人民的使用你又沒有提供他足夠的配屬設施政府要不要補償我們有向農業部提出這樣的建議就是跟我說的認同優先改善農業發展預定區的農田水庫設施如果還沒有做我們就要補償你同意嗎我同意好那我們來看一下現在根據土地稅法
transcript.whisperx[294].start 22967.752
transcript.whisperx[294].end 22995.299
transcript.whisperx[294].text 在非都的地區他編訂了農業用地那他是身後前戶但是都市土地如果他的公共設施未完成前如果能做農地使用的不收地價稅是不是這也是一種補償嘛對我是可以工業用地我可以蓋工廠但是你沒有開闢道路我不能做工廠我自己去做農業用地那你不能跟我收什麼工業用地的地價稅嘛對好但是我們農地不收農戶我們來看看
transcript.whisperx[295].start 22995.859
transcript.whisperx[295].end 23008.008
transcript.whisperx[295].text 那是不是我們可以根據下一個你可以要求農業部增進新增的科目預算對於過去經濟部若久悍不語他會調度農業用水經濟部會給農民的休耕補償對不對對
transcript.whisperx[296].start 23011.01
transcript.whisperx[296].end 23025.8
transcript.whisperx[296].text 那如果不是因為天氣久旱不雨是因為農業部的灌溉設施未達我農地沒辦法灌溉沒辦法做好的友善耕作你認不認為農業部或你們支持要編列預算科目的用途來補償農民你這不支持
transcript.whisperx[297].start 23027.238
transcript.whisperx[297].end 23051.536
transcript.whisperx[297].text 應該由農業部好好的來檢討很好,所以你要監督農業部新增預算科目提出相對應的補償所以我看最後就是說有水才有田,灌溉設施是農權如果我們政府應提供而未提供農業設施的話那我們這個不是施捨政府要提出補償措施能不能督導我們行政部門要具體的趕快提出改善方案
transcript.whisperx[298].start 23054.236
transcript.whisperx[298].end 23077.122
transcript.whisperx[298].text 我先問你,如果你是老師,全班的總平均是95分,只有一個是考不到70分的,其他都98分。今天你跟校長說,我要把全班的平均分數從90分往上拉高,你是要幫助那些98分以上的考100分,還是先把那個70分的拉起來?
transcript.whisperx[299].start 23078.083
transcript.whisperx[299].end 23107.185
transcript.whisperx[299].text 把70分的拉起來空間最有效益嘛對不對對好那我們來往下看同樣的我們來看臺灣的自來水普及我們的卓院長說啊我們的自來水普及率95%已經都有了剩下的5%沒有所以你認為未來自來水的普及要從這5%去擴大要找哪一個地方找普及率高的還是找普及率低的找普及率低的很好我們來看一下齁目前我們自來水的啊屏東只有全國未達八成
transcript.whisperx[300].start 23108.035
transcript.whisperx[300].end 23124.242
transcript.whisperx[300].text 我們全國的普及率是95%那過去這幾年我們屏東成功的在短短3年內因為前瞻基礎建設的支持我們從63%提升到72%增加了6%、5%好那請問你往下看你認為接下來我們自來水的沿管工程
transcript.whisperx[301].start 23124.882
transcript.whisperx[301].end 23145.538
transcript.whisperx[301].text 是要去針對已經普及率95%的繼續去找那個還剩下人口少偏遠的管型要較長的還是要找像屏東這種普及率低還有很多人口稠密的地方他的管線施設比較短的地方優先去做哪個成本比較低應該是普及率低的像屏東這樣的地方你完全認同嗎好那我們來往下看
transcript.whisperx[302].start 23146.243
transcript.whisperx[302].end 23165.934
transcript.whisperx[302].text 各縣市的延緩工程的平均成本就像你說的沒有錯普及率越高的他要繼續施工的成本比較高普及率低的像屏東只要不到16萬就可以做到一戶了所以全國目前有超過51%的經費是用到屏東其他各縣市用的比較少你認為這樣的分配是合理還是不合理
transcript.whisperx[303].start 23167.932
transcript.whisperx[303].end 23193.645
transcript.whisperx[303].text 你認為屏東用比較多合不合理合理很合理那未來如果我們這樣的相關計畫的經費運用是不是要繼續加碼投資屏東縣這是應該往這個方面來那所以我的結論就是說相較於其他縣市站在審計部你們績效審計的立場提高全屏東縣的自來水的普及率對於全國的自來水普及的最後一里路是不是最有幫助
transcript.whisperx[304].start 23194.52
transcript.whisperx[304].end 23202.202
transcript.whisperx[304].text 對的那你們審計部的審計報告未來再看這樣的相關的水利或自來水普及工程你們會提出這樣的建議給行政院嗎
transcript.whisperx[305].start 23203.386
transcript.whisperx[305].end 23223.962
transcript.whisperx[305].text 向委員報告,我們今年在合作114年的上半年在做無住來水地區的專案審計、專案調查我們會把委員的這些看法、觀點納進考慮這不是我的觀點,你完全認同就是審計部的意見了因為這都是合規合理的嘛
transcript.whisperx[306].start 23224.702
transcript.whisperx[306].end 23243.938
transcript.whisperx[306].text 在那你們的職責你們就應該建議吧不是因為中委員建議嘛應該是你們本於職責這樣建議是不是這樣對你審計部是獨立機關那又不是我中央安兵的指令是不是這樣有一個問題啊因為他的湖流水啊湖流水對很發達對資源模擬所以啊接管的人啊
transcript.whisperx[307].start 23245.279
transcript.whisperx[307].end 23270.164
transcript.whisperx[307].text 好像欸 意願也不是那麼強你放心 前幾年缺 缺餘啊 地下水抽不到 大家都嚇壞了 大家都要裝置來說那應該就在這個機會啊 趕快把它補給民眾的意願不是問題 政府的經費是要加強挹注好 來 最後你的結論啦就是說 除了我剛剛說的救安基金 你們的審計 你們要發揮最後監督的審計功能監督機關裡面才 就是政風
transcript.whisperx[308].start 23271.36
transcript.whisperx[308].end 23294.938
transcript.whisperx[308].text 主計跟人事你們要作為這些監督單位最後的最終監督你們要做這兩個省紀部在決算審核報告因監督農業部透過預算科目的增列提供尚無灌溉服務地區的補償措施你知不支持我們會來做一個審計的那個檢討好那另外自來水的普及你也支持你剛剛的做法對不對對
transcript.whisperx[309].start 23300.583
transcript.whisperx[309].end 23326.64
transcript.whisperx[309].text 謝謝鍾嘉斌委員詢問也謝謝陳主席長沈記長詢答第二位我們請登記第二位的廖先祥委員請詢問好謝謝院長也要麻煩邀請我們沈記長
transcript.whisperx[310].start 23329.838
transcript.whisperx[310].end 23331.278
transcript.whisperx[310].text 麻煩陳省經理長廖委員好省經理長好這個延續剛剛中委員的議題因為救安基金應該是國人最近非常關心的一個政府預算質詢的一個相當大的一個社會議題大家非常的關心那除了先前可能大家有提到的演唱會的問題啊辦公室優化
transcript.whisperx[311].start 23357.345
transcript.whisperx[311].end 23376.036
transcript.whisperx[311].text 等等的問題之外昨天在民眾黨有黨民眾黨也有召開相關的記者會也有提出一些其他相關的問題比如說媒體採購的限制性的招標問題或者是說他們的拍影片以及他的成效的問題那以及這個可能一些紀念品等等的
transcript.whisperx[312].start 23376.516
transcript.whisperx[312].end 23402.956
transcript.whisperx[312].text 那剛剛這個沈縣長說相關的救安基金的專案報告之前提一個院內會提出來嘛那譬如說以個人演唱會這件事情來講應該是2022年的時候的事情那我們在那件事情發生之後我們這個省基部有沒有提出任何的相關的報告或檢討針對救安基金的缺失提出相關的一些糾正有在新聞爆發之前
transcript.whisperx[313].start 23403.869
transcript.whisperx[313].end 23422.607
transcript.whisperx[313].text 第一個他連續3年啦虧了差不多200億要勞動部要去好好檢討第二個我們收回啊為何救安基金用的收回他差不多沒有符合規定的租出3億多元
transcript.whisperx[314].start 23423.627
transcript.whisperx[314].end 23440.153
transcript.whisperx[314].text 第三個他在補助一些數位團體數位單位差不多100多家但是我們查這100多家長年連續三年都違反勞動法令要他要勞動部好好檢討
transcript.whisperx[315].start 23441.193
transcript.whisperx[315].end 23463.622
transcript.whisperx[315].text 大概我們都會就這些包括他的收支並結算我們都會提出來好所以針對就葉安丁基金長期來可能對我們審計部來說也算是長期的一個黑名單了啦應該是我們都會注意他特別他注意他的就這個使用的狀況有沒有符合我們的法令那按照我們的這個
transcript.whisperx[316].start 23465.356
transcript.whisperx[316].end 23493.845
transcript.whisperx[316].text 法定規定我們如果說在我們的預算使用上面依照我們審計法第21條如果說有各機關違背預算或者是有關法定的不當支出我們可以事後剔除追繳之那想請問一下那我們就是針對救安基金比如說剛剛大家最關心的開個人演唱會或者是辦公室裝潢的這個部分我們後續會不會提出這個剔除以及追繳
transcript.whisperx[317].start 23495.075
transcript.whisperx[317].end 23521.462
transcript.whisperx[317].text 八位委員我們所謂因為這個大家全國人民關心我們有已經派我們的同仁去查核是初步發現為符合基金用途的有將近五千多億五千多萬五千多萬抱歉五千多萬這五千多萬我們大概會收回會幫忙收回像這個和採購異常的或者這個我們會移送檢調
transcript.whisperx[318].start 23524.043
transcript.whisperx[318].end 23531.093
transcript.whisperx[318].text 像未竟執著的我們會移送監察案剛剛上面講的這些都是包含剔除跟追繳嗎?
transcript.whisperx[319].start 23532.476
transcript.whisperx[319].end 23556.512
transcript.whisperx[319].text 大部分都收回的地方就是如果他有一些很明確的違背法令我們就會追繳或剔除追繳那這個追繳的對象是因為要回去看這個責任我們會請勞動部去這個問題給他他會給我們回覆會申錄當然大家最關心追繳的對象是誰你是跟機關追繳還是跟違法運用經費的這個當時的這個公職人員來追繳
transcript.whisperx[320].start 23562.359
transcript.whisperx[320].end 23562.439
transcript.whisperx[320].text 因為這個是這樣
transcript.whisperx[321].start 23566.009
transcript.whisperx[321].end 23594.453
transcript.whisperx[321].text 這兩個都可能要看你們後續的調查採購人員因為這個為什麼要做這樣的採購呢我們可能他涉及違法那他就要盡到檢調比如說許前部長他不會是採購人員嗎他不會是第一線採購人員嗎對那如果是他那個沙龍罩那這個可能就我們可能就會請他那個單位我們會請他收回他就怎麼收回我們會瞭解他是不是向個人收回
transcript.whisperx[322].start 23594.833
transcript.whisperx[322].end 23602.847
transcript.whisperx[322].text 好所以說在之後的一個你們講的一個月的時間的報告提出報告的時候我可不可以拜託沈記長是否針對這一些你們認為有違法
transcript.whisperx[323].start 23605.738
transcript.whisperx[323].end 23624.771
transcript.whisperx[323].text 違規或是不當使用的一些經費﹖你們評估一下哪些經費﹖你們認為應該要踢除、追繳﹖哪一些不用﹖那並把你們認為要不要的﹖理由、序名﹖這可不可以﹖可以﹖可以﹖就到時候在報告裡面﹖都可以看得一清二楚﹖我們審計部的立場﹖好﹖另外一點﹖我先謝謝審計長﹖那另外一點就是﹖
transcript.whisperx[324].start 23625.692
transcript.whisperx[324].end 23645.22
transcript.whisperx[324].text 因為基金喔特別好用啦所以很多單位都喜歡用那我們就業安定基金他有沒有哪一項他的特別的可能業務啊或是等等他的功能有沒有什麼東西是本預算沒有辦法可能就勞動部這個機關本預算沒有辦法來這個達成他的目標任務的
transcript.whisperx[325].start 23649.812
transcript.whisperx[325].end 23668.07
transcript.whisperx[325].text 因為剛剛鄧家麗病委有講嘛我們的收入大概就是這個移工的移工的收入嘛對不對移工的這個雇主繳的錢那支出當然就是這是穩定我們的就業那這些預算用在基金邊跟本預算邊他如果說要把這些基金預算挪回來本預算的話有沒有自愛難行的地方
transcript.whisperx[326].start 23669.045
transcript.whisperx[326].end 23695.704
transcript.whisperx[326].text 就是預算編列的問題應該是沒有就是說救安基金他是有專用專款專用的一個性質他要用到那個法就業服務法裡面注定的促進國民就業提供勞工扶植這一方面他一定要用到他沒有用到這方面就是要在他的那個公務預算裡面編列不能在這裡來
transcript.whisperx[327].start 23699.245
transcript.whisperx[327].end 23724.09
transcript.whisperx[327].text 來編(來注用所以就是因為剛剛沈記長有跟大家說明救安基金這幾年操置並決算的情況非常嚴重這就是基金的好處大家都要用基金我可以操置我到時候再並決算就好了那照剛剛沈記長講的既然他的問題這麼嚴重前科雷雷那他又沒有那個絕對存在不可替代的必要的話那沈記長你認為救安基金
transcript.whisperx[328].start 23725.327
transcript.whisperx[328].end 23752.097
transcript.whisperx[328].text 如果說我們來提倡把它廢除的話您有沒有怎麼樣的個人意見把就業安定基金廢除回到勞動部的本預算去執行它的所有預算的收支就業安定基金是可以檢討會辭可能知識體大因為它已經行之三十幾年了所以有它的可是剛剛沈記長說它的所有的支出應該都是可以編在本預算內啊
transcript.whisperx[329].start 23753.455
transcript.whisperx[329].end 23775.586
transcript.whisperx[329].text 然後他的撤職並決算的情況又這麼嚴重不受監督早年財政困難的時候有時候真的有一個專款專用對促進國民就業就提供勞工扶植會相當重要所以這個要慎重好沒關係那這一部分可不可以一併納入我們審計部的一個專案報告裡面
transcript.whisperx[330].start 23778.347
transcript.whisperx[330].end 23805.653
transcript.whisperx[330].text 好就是針對就位基金他存在的必要性如果說你們認為他有存在的必要的話那你就序明清楚讓大家知道你們的專業獨立的意見好謝謝沈機長那另外一點就是我們立法院的預算中心定期也都會提供我們一些他們的審查的一些情況那我們的立法院預算中心提出幾個意見也有些意見就是針對中央政府的整體媒體宣傳費用的規模的增長那
transcript.whisperx[331].start 23807.253
transcript.whisperx[331].end 23829.019
transcript.whisperx[331].text 一部分是金額的提高一部分是有許多的部分機關就是他可能他把這個媒體的相關的費用閃編在公務或是非基金的非營業基金或是特別預算當中那沈記長您認為同樣一個可能他是同樣的一個主管同樣一個可以運用這些資金的人他把這些媒體的這個
transcript.whisperx[332].start 23831.2
transcript.whisperx[332].end 23837.238
transcript.whisperx[332].text 廣告的宣傳費用:拆散到不同的單位:部長:欸這個沈機長:您認為這樣是適宜的做法嗎?
transcript.whisperx[333].start 23839.795
transcript.whisperx[333].end 23863.57
transcript.whisperx[333].text 這個政慾先導經會我們專案查了三年三年都專案調查我們也提出了非常多的意見給行政院參考後來他也訂立了專項但是他有的是說他會放在婚姻樂園裡面也有公務也有所以但是我們在查核的時候我們會把這幾個一起
transcript.whisperx[334].start 23867.012
transcript.whisperx[334].end 23887.802
transcript.whisperx[334].text 來查我的說一起看一起檢討對其實營業基金可以理解營業基金另外看都沒有問題但是你公務預算跟非營業基金如果說你把一筆應該要用的款項把它拆分下來都會讓人家懷疑是不是有規避監督的這樣子的一個他的當初的想法會讓人家這樣子來懷疑所以說
transcript.whisperx[335].start 23889.175
transcript.whisperx[335].end 23912.516
transcript.whisperx[335].text 如果說我們過去都有在做一些專案在跟行政院來溝通的話代表說沈記長應該也是認為相關的媒體宣傳費用不只是媒體宣傳費用啦應該是相關的費用如果說能夠集中一個這個主管機關來編列的話對於我們事後的稽查或者是他的公開透明來講的話應該都是有正面的幫助委員這個意見很好但是行政部門啊他有他的考慮也有他的相當困難
transcript.whisperx[336].start 23913.337
transcript.whisperx[336].end 23929.013
transcript.whisperx[336].text 是好沒關係那至少是沈記長是認同這樣子的意見那行政機關他們有如果說不這樣做的話他們應該要續名理由為什麼他們要這樣子做好沒有問題好謝謝好謝謝沈記長那第三個第三個我們來討論一下這個採購的一些這個問題啦那這個採購的問題如果說啦有一個機關啊他針對
transcript.whisperx[337].start 23935.8
transcript.whisperx[337].end 23936.261
transcript.whisperx[337].text 同意權之行使事項
transcript.whisperx[338].start 23946.456
transcript.whisperx[338].end 23967.87
transcript.whisperx[338].text 高度集中化集中到某一個產家這個我們會注意要他多次都集中這個產家我們就會列為高度風險我們會專案查核我們先不要預測說這家廠商或者是採購過程中有沒有非法的部分我們不要預測他這樣子的一個現象對我們國家採購有沒有不良的一個印象
transcript.whisperx[339].start 23968.61
transcript.whisperx[339].end 23996.171
transcript.whisperx[339].text 一般啦大家公務機關如果他是優良的他可以幫忙這個機關我們大概就這個是因為他是有時候找他可以把他的整個建築各方面的採購啊做得很好也有他這個工程會也有鼓勵用這樣的一個方法但是我們目前啦我們對於這些採購啊一點差不多有
transcript.whisperx[340].start 23997.792
transcript.whisperx[340].end 24008.999
transcript.whisperx[340].text 有19萬件差不多有兩兆億元的採購我想跟審議長報告的是高度集中化會有依賴性過強的問題依賴性過強的問題不利於市場的公平競爭那你跟在廠方的這個談判或議約議價之間你的主動權會相對的比這個
transcript.whisperx[341].start 24021.202
transcript.whisperx[341].end 24034.026
transcript.whisperx[341].text 這個這個充分競爭的一個市場好來的低嘛對不對是那所以說呃正在我們採購立場上我今天要提的是我們的國防預算我們這幾年啊其實在早年我們中華民國的國防的採購並沒有說
transcript.whisperx[342].start 24037.227
transcript.whisperx[342].end 24057.813
transcript.whisperx[342].text 這個專門要就是專門都向哪一個國家採購比如說我們過去常跟美國採購也會跟法國採購無論是我們的幻象戰機或者是我們的可能拉法葉艦雖然說它過程發生一些弊案但是我們原則上它的分散有分散的好處但是近年來我們中華民國的軍備的採購長期的集中在美國這一個單一的國家
transcript.whisperx[343].start 24059.894
transcript.whisperx[343].end 24077.423
transcript.whisperx[343].text 產生的長期的依賴性.他就會產生了一些的後遺症.產生後遺症.比如說我們媒體常常報道說.美軍相關的軍備採購案.他常常會有嚴當交貨的一塊的情形.這部分應該我們審計部.也都有在對國防部的時候.也都會有集合到.
transcript.whisperx[344].start 24078.203
transcript.whisperx[344].end 24102.567
transcript.whisperx[344].text 有,像這個大概我們現在集合到的差不多有兩千多有兩千八百多億的備存帳在美國也有一千五百多億的那個延後交貨甚至是他可能是簽約了之後再預約也有可能預約之後他就不算在這裡面了
transcript.whisperx[345].start 24106.696
transcript.whisperx[345].end 24126.425
transcript.whisperx[345].text 這樣子的一個情形就會對於我們的充值我們的國防他絕對是一個潛在的一個因子我們今天花了那麼多錢他的東西沒有辦法如時如約的如期的來交貨就會對我們的國防產生了一個可能產生了一些漏洞那針對這個部分我不曉得國防部針對他們的機密預算我們審計部也有辦法集合到嗎
transcript.whisperx[346].start 24127.419
transcript.whisperx[346].end 24139.891
transcript.whisperx[346].text 都有都可以集合到大概經過案是高度的軍事和政治的一個因素還是有國家上位的政策還要考慮到國家整個國家安全各方面的事情
transcript.whisperx[347].start 24146.397
transcript.whisperx[347].end 24170.758
transcript.whisperx[347].text 但是就是可能近年包括我們國防部﹐給我們立法院的一個報告﹐包括我們的高效能反專甲飛彈﹐F16的一些性能提升﹐還有我們新式戰機的採購﹐在他們可能換約了之後還是有延宕的情形﹐那就可能會﹐他的更早的一個起因﹐可能是因為我們國軍長期以來依賴美軍﹐他認為我們只有單一的窗口﹐我們不會去跟英國﹐我們不會去跟法國﹐我們不會去跟其他國家來進行軍購﹐
transcript.whisperx[348].start 24172.199
transcript.whisperx[348].end 24194.688
transcript.whisperx[348].text 所以他可能在跟我們的談判上面他會比較強勢甚至美國他們對於這個海外軍售的制度是只要在發架書的最後年度前交貨就是可能會有這個階段性嘛他們不管階段性他們只管最後的這個年度前交貨就不算延遲那這樣子的一個合約的簽訂您認為是適當的嗎我們有請國防部檢討
transcript.whisperx[349].start 24198.891
transcript.whisperx[349].end 24213.547
transcript.whisperx[349].text 請國防部檢討我們有發現這樣的問題請國防部要好好的檢討以後對於不管是任何國家只要有相關的軍備的採購案當初合約怎麼訂沒有特殊的原因那就必須要如期如約的來交貨
transcript.whisperx[350].start 24214.548
transcript.whisperx[350].end 24237.999
transcript.whisperx[350].text 那他們有相關的一些違約機制嗎?我們政府任何政府機關採購都會有違約的懲罰金啊那軍公案會有嗎?軍公案他在訂的時候是沒有我們目前沒有看也要求他我們在查核的時候發現這種現象所以我們也有要求國防部應該要有這樣的一個機制要去能夠對這方面做一個要求那就麻煩我們審計部繼續針對上述的問題來提出一些建議給我們
transcript.whisperx[351].start 24243.936
transcript.whisperx[351].end 24270.668
transcript.whisperx[351].text 好,謝謝廖先祥委員的詢問,也謝謝陳省記長的詢答。現在在我們議場二樓旁聽的是來自美國智庫東西中心2024年Jefferson獎金計畫的資深記者團。Welcome, ladies and gentlemen.我們掌聲歡迎。在接下來我們請登記第三位林毅君委員,請詢問。
transcript.whisperx[352].start 24294.564
transcript.whisperx[352].end 24297.689
transcript.whisperx[352].text 謝謝院長 有請沈記長李委員好
transcript.whisperx[353].start 24308.718
transcript.whisperx[353].end 24333.174
transcript.whisperx[353].text 最近勞動部爆發勞發署北分署的前署長 謝宜容涉嫌職場霸凌導致公務員的輕生案漸漸衍生出勞動部濫用就業安定基金從這幾年中央政府總預算案的預算書裡面可以發現就業安定基金的宣傳費竟然連連的增加那111年是1.2億112年是1.5億
transcript.whisperx[354].start 24338.017
transcript.whisperx[354].end 24367.085
transcript.whisperx[354].text 到113年編列1.7億然後明年的預算編列更是高達2億1700多萬元實在是令人匪夷所思更難以理解從81年起政府為了平衡僱主聘僱移工的衍生的社會成本就依據就業服務法規定對僱主徵收就業安定費而且所有的僱主每個月要繳納就業安定費2000元給就業安定基金
transcript.whisperx[355].start 24367.725
transcript.whisperx[355].end 24395.741
transcript.whisperx[355].text 根據資料顯示光是112年度的就業安定基金一整年的收取就業安定費的收入就高達212億多元其中將近三分之一的收入是由聘僱社福的移工的僱主所繳納的其實這個對長期聘僱外籍看護工的私人的家庭還有跟身心障礙者是非常沉重的經濟上面的負擔因此有關就業安定基金的預算的編列和
transcript.whisperx[356].start 24397.763
transcript.whisperx[356].end 24399.606
transcript.whisperx[356].text 經費之用本席想要請教沈記長幾個問題
transcript.whisperx[357].start 24402.182
transcript.whisperx[357].end 24427.987
transcript.whisperx[357].text 根據救安基金收支的保管.還有運用的辦法規定.救安基金是用來.辦理促進國民的就業.提升勞工的福祉.及處理外國人聘僱管理的事情.結果沒想到.近年來的救安基金.卻遭媒體踢爆被濫用的情勢.包括勞動部及勞動力發展署.濫用救安基金媒體政策.及業務的宣傳費的推廣費.
transcript.whisperx[358].start 24429.827
transcript.whisperx[358].end 24445.266
transcript.whisperx[358].text 用來舉辦音樂會.還有採購三節的禮品等明顯就是救安基金的規定.跟救安基金的規定的用途未盡相符那我們執政黨竟然.濫用安定勞工的社福的預算.變成了政府官員舉辦音樂會.唱歌、養媒體.
transcript.whisperx[359].start 24449.051
transcript.whisperx[359].end 24476.449
transcript.whisperx[359].text 還有做大內宣.甚至用來裝潢辦公室.還有採購三節的禮品.送禮做人情的不當使用.這對遵守法規.按時繳納就業安定費的.弱勢私人的家庭.來說是情何以堪啊.如此濫用人民的納稅錢.怎麼對得起.廣大的勞工的朋友呢.那請問沈記長.你說這是不是明顯的.浪費公堂啊.
transcript.whisperx[360].start 24477.574
transcript.whisperx[360].end 24493.315
transcript.whisperx[360].text 他看起來應該不合基金用好那再請問沈記長沈記部有沒有掌握就業安定基金近年來的媒體政策及業務的宣導費及推廣費這些的預算的編列及支用的數據呢有
transcript.whisperx[361].start 24496.188
transcript.whisperx[361].end 24521.325
transcript.whisperx[361].text 剛剛委員講的那個媒體政策及AU先導會的部分就如同委員所講的是逐年增加但是推展會他除了媒體先導會以後他以外他也有推展會像推展會113年也有1億3000多萬所以加起來媒體政策先導會加推展會大概也有3億多
transcript.whisperx[362].start 24523.226
transcript.whisperx[362].end 24551.807
transcript.whisperx[362].text 所以就業安定基金是特別的收入的基金收入的來源是向屁股的移工的僱主徵收來的然後基金主要是用來促進國民就業嘛但剛才那個省紀長也說了那勞動部竟然每年編譯3億多的預算去做政策的宣導還有業務的推廣而且還被踢爆濫權使用那請問省紀長省紀部近年來就業安定基金各項的經費的支用有沒有進行了解還有沒有規劃查核呢
transcript.whisperx[363].start 24552.788
transcript.whisperx[363].end 24576.096
transcript.whisperx[363].text 有沒有違法還是失職的情勢呢?這些審計部要如何處理呢?有,大概剛剛我也談過他我們收回安基基金他們去衛福規定的租出我們這一兩年收回3億多第二個他這三年短絕了差不多200多億我們也要請勞動部檢討
transcript.whisperx[364].start 24577.757
transcript.whisperx[364].end 24590.226
transcript.whisperx[364].text 第三個他有的在補助那些長年連續都在違動勞動法令的一些補助啊3000多萬我們都有要他勞動部好好檢討
transcript.whisperx[365].start 24592.592
transcript.whisperx[365].end 24618.342
transcript.whisperx[365].text 希望審計部可以為這些所施仁的家庭好好的把關.救安基金的經費的支用.請審計長可以在此承諾.針對安定基金的運用.承諾進行專案的審計.查核近5年來經費的支用的情形.包括過去幾年.是否有沒有作假帳.請審計長後續調查報告.一併提供本席和本院參考.可以嗎
transcript.whisperx[366].start 24620.016
transcript.whisperx[366].end 24640.441
transcript.whisperx[366].text 因為我們有答應在裁委會的時候有答應委員他們希望能夠他希望我們大家委員也希望我們去查核我們所謂的出有一間派人去查大概有查了三年委員現在希望我們查五年我們會照委員的意思再增加兩年
transcript.whisperx[367].start 24641.834
transcript.whisperx[367].end 24644.216
transcript.whisperx[367].text 建保署為了節省藥物的支出每年都會進行藥品的價格的調整根據113年度藥價調整的結果
transcript.whisperx[368].start 24667.988
transcript.whisperx[368].end 24674.411
transcript.whisperx[368].text 遭到砍價的藥品有4000多項導致部分的藥品原本價格就已經非常低了然後再繼續被砍下去的話藥廠來說其實已經不符合成本了然後都停產了而且這會造成民眾用不到藥而且引發民眾的恐慌所以我想請教沈記長國內過去頻傳有缺藥啊然後缺快篩啊缺輸液啊這些事情甚至可能會危及病人的生命的
transcript.whisperx[369].start 24697.119
transcript.whisperx[369].end 24713.653
transcript.whisperx[369].text 然後解決缺藥的危機還要花數倍的價錢由不同的國家來進口然後耗費更多的預算根本性的問題就是在於健保藥價政策不當那請問審計部有沒有進行什麼相關的查核呢
transcript.whisperx[370].start 24715.063
transcript.whisperx[370].end 24742.45
transcript.whisperx[370].text 我們112年有查這個問題大概我們也提出來說這個藥價夠低可能也會造成一些問題所以我們有請健保署好好檢討一下不能造成整個剛剛委員所講的各方面的醫療用品或者藥品都造成切後的問題我們要找到一個合理適當的一個藥價
transcript.whisperx[371].start 24745.831
transcript.whisperx[371].end 24752.42
transcript.whisperx[371].text 那針對健保改革 沈機長你是否同意我們也先從民眾的自我照顧的概念開始宣導呢因為這個政策就是對於藥品轉類然後讓我們自己國人有自我照護的環境透過這些部分已經安全無虞的藥品
transcript.whisperx[372].start 24763.635
transcript.whisperx[372].end 24788.42
transcript.whisperx[372].text 然後像處方藥可以轉類指示用藥.並加速指示用藥退出健保.這樣的話就是不會造成.太多的健保上面的負擔.根據統計我國健保制開辦到現在.已經違法給付指示用藥.已經近30年了.據統計2022年健保扔.給付800多項指示用藥.佔健保給付藥物的比例達.
transcript.whisperx[373].start 24791.241
transcript.whisperx[373].end 24811.991
transcript.whisperx[373].text 27.3%.一級就是說.保給付的藥物中.超過四分之一的項目是違法給付.更耗費了大約20億的公帑.那指示用藥依法.本來就是不屬於建保的給付範圍.但因為建保開辦初期.考量醫生、醫療與民眾就醫的習慣.建保署讓1200餘項的指示藥.暫時繼續以建保給付.
transcript.whisperx[374].start 24818.234
transcript.whisperx[374].end 24838.59
transcript.whisperx[374].text 所以現在還有801項的指示藥品以健保給付那是不是應該要加速指示用藥就是這些讓這些安全無虞的藥品快速退出健保給付節省健保的資源讓健保資源可以合理的配置呢那請問沈記長你有沒有這方面有沒有進行相關的查核呢謝謝委員
transcript.whisperx[375].start 24840.319
transcript.whisperx[375].end 24862.691
transcript.whisperx[375].text 我們的審計看法和委員的看法一樣因為這個一千多項一千兩百多項到現在檢討了以後還有八百多項我們有叫他請他是不是加快速度來看看還有哪些可能民眾實在相當
transcript.whisperx[376].start 24863.932
transcript.whisperx[376].end 24870.037
transcript.whisperx[376].text 需要我用的藥品大概整體叫他們盤一盤大概這個部分我們今年剛剛1、2年的總結算的審核報告有提出來謝謝委員注意到這個問題
transcript.whisperx[377].start 24883.624
transcript.whisperx[377].end 24904.818
transcript.whisperx[377].text 謝謝,謝謝審計長就是希望能夠加速指示用要快速退出健保給付這樣健保支援才可以更節省對,對,對好,那接下來我再請教審計長就是本席這邊有一個預算使用的問題想要請教你雖然現在還沒有執行但是希望審計部未來要好好的審計查核那就是國防部軍備局
transcript.whisperx[378].start 24906.379
transcript.whisperx[378].end 24933.311
transcript.whisperx[378].text 預計在明年114年度就是114年到117年總共編了68億5900萬的預算捐助行政法人中科院與民雄西策那邊開發了軍規無人機的產線預計在115年投產那建置這一個航太機無人機的產業園區據說中科院打算委外管理但
transcript.whisperx[379].start 24934.171
transcript.whisperx[379].end 24955.021
transcript.whisperx[379].text 收了廠房的租金提供廠商的進駐那雖然新建了航太無人機產業的園區的目的當然是要落實國防自主但是推動軍民技術整合的利益是良善的但問題來了就是經本席瞭解這個產業園區的土地產權管理是政府的
transcript.whisperx[380].start 24955.701
transcript.whisperx[380].end 24972.415
transcript.whisperx[380].text 未來招商是經濟部和嘉義縣政府負責.所有收入卻沒有進國庫.全部歸中科院所有級管理.本席雖然我不是預算專家.我只想請教沈記長.這是不是哪裡怪怪的.
transcript.whisperx[381].start 24973.095
transcript.whisperx[381].end 24985.126
transcript.whisperx[381].text 就是政府用公務的預算出錢出力給中科院結果卻是讓中科院自己成立所謂的專案基金自行管理那沈記長你當過主計總處的副處長現在身為沈記長
transcript.whisperx[382].start 24989.71
transcript.whisperx[382].end 25017.71
transcript.whisperx[382].text 那你認為透過公務預算捐助的新建的這些園區所有的收入支出的使用是不是要透過中科院施設基金規避國會監督的方式符合預算法的規定嗎是不是應該要由國防部來成立一個非營業基金或特收基金的方式這樣才正確呢委員的建議很好我向委員報告主要動用
transcript.whisperx[383].start 25018.616
transcript.whisperx[383].end 25039.197
transcript.whisperx[383].text 國家資源我們損基部一定管所以給委員瞭解到這樣的一個情況但是怎麼樣讓這個延期能夠最後能夠發展起來他的效益能夠達成用的什麼方法
transcript.whisperx[384].start 25041.519
transcript.whisperx[384].end 25055.748
transcript.whisperx[384].text 包括國防部、中科院都要好好的還有行政院都要好好的去思考去建立一個不要這麼複雜的制度這剛剛委員聽完以後我都還沒有搞清楚
transcript.whisperx[385].start 25056.448
transcript.whisperx[385].end 25083.574
transcript.whisperx[385].text 不容易搞清楚所以住度要讓它越單純我認為單純有效這樣的一個方法但是我們審計部只要動用因為這裡面我看起來委員提供的資料裡面有監製的國防部用公益算監製的68億我們這個經費也相當的大我們一定會密切的來注意
transcript.whisperx[386].start 25085.018
transcript.whisperx[386].end 25106
transcript.whisperx[386].text 雖然這個中科院民雄航太計無人機產業園區計劃還沒有正式的執行但是本期還是希望審計部未來要好好的審計查核避免公務預算捐助的預算跟安定基金一樣遭到濫用還有挪用那國會還沒有辦法監督的問題可以嗎好我們會提出審計意見謝謝
transcript.whisperx[387].start 25108.783
transcript.whisperx[387].end 25122.461
transcript.whisperx[387].text 那接下來國防部114年度有編列了稅出預算4760億元其中對美軍購M1A2T的戰車還有海馬斯火箭的系統還有
transcript.whisperx[388].start 25123.823
transcript.whisperx[388].end 25129.571
transcript.whisperx[388].text 暗製魚叉的這些飛彈系統.還有採購F-16AV戰機.遠距遙控精準的飛彈等武器.總共有705億元.再加上國防部於109年.還有到115年的編列特別預算有2472億元.
transcript.whisperx[389].start 25142.267
transcript.whisperx[389].end 25157.994
transcript.whisperx[389].text 2億元這樣的金額其實是非常的龐大的但是近年來常遭媒體報導交貨延遲至今留存在美方這些問題所以有關國軍對美軍購的執行的情況我想請教沈記長
transcript.whisperx[390].start 25159.615
transcript.whisperx[390].end 25176.984
transcript.whisperx[390].text 國防預算支援有限那國軍歷年編那麼高額的軍購的預算分期按發價書付款給美方目前留在美方的資金有多少然後有多少還沒有交貨的還有國防部有沒有列戰管理呢
transcript.whisperx[391].start 25178.554
transcript.whisperx[391].end 25200.95
transcript.whisperx[391].text 報告員從後面來看這個我們有一定要求他內臟管理這個大概有這樣的目前放在那裡的還沒有交貨的我們查出來匯錢去了還沒有交的有2800多億如果像這個重大經貨這個還會延遲的這裡面包括了這1500多億是還沒有這個是屬於延遲的部分
transcript.whisperx[392].start 25216.308
transcript.whisperx[392].end 25242.566
transcript.whisperx[392].text 謝謝林益君委員詢問也謝謝陳審計長詢答接下來登記第四位吳啟明委員之諮詢以書面提出請審計部書面答覆並列入紀錄刊登公報在接下來我們請登記第五號林德福委員詢答
transcript.whisperx[393].start 25253.589
transcript.whisperx[393].end 25259.039
transcript.whisperx[393].text 謝謝謝謝大會主席韓院長還有陳審計長還有各列席官也是不是請那個陳審計長麻煩再請陳審計長
transcript.whisperx[394].start 25268.975
transcript.whisperx[394].end 25294.86
transcript.whisperx[394].text 市長你好我想依決算法審計機關在審核各機關或各基金決算應該要注意有無違法施職或不當的情勢那依審計法審計機關對於各機關違背預算或有關法令之不當之處得事前
transcript.whisperx[395].start 25296.541
transcript.whisperx[395].end 25298.564
transcript.whisperx[395].text 拒簽或事後踢除追繳資
transcript.whisperx[396].start 25302.812
transcript.whisperx[396].end 25329.257
transcript.whisperx[396].text 中選會前主委陳櫻前違法失職.花了人民血汗錢931萬元的案子省紀部的同仁已經有提供相關的資料給本席辦公室做說明作為最新的進度那我想本案從109年到現在法院早已經判決而且多次駁回在審
transcript.whisperx[397].start 25331.523
transcript.whisperx[397].end 25354.644
transcript.whisperx[397].text 本席認為說中選會不當支出應該要剔除追繳.並追究陳寅前前主委的責任案子拖延到現在這4年多來省紀部你們是否有信心.可以把陳寅前違法失職.多花人民血汗錢931萬元給追討回來
transcript.whisperx[398].start 25358.302
transcript.whisperx[398].end 25380.627
transcript.whisperx[398].text 報告委員大概第一個這個案子是我們移送監察院監察院後來彈劾後來彈劾法院判了要陳主委要賠20萬陳主委也賠了我們就開始我們也有請中選會開始追究相關人員的責任
transcript.whisperx[399].start 25382.067
transcript.whisperx[399].end 25384.769
transcript.whisperx[399].text 沒有再追下去,那你認為這樣可惜嗎?
transcript.whisperx[400].start 25404.565
transcript.whisperx[400].end 25406.529
transcript.whisperx[400].text 主席長931萬捏這不應該要發的捏對所以我們現在我們已經出公文請
transcript.whisperx[401].start 25415.27
transcript.whisperx[401].end 25439.925
transcript.whisperx[401].text 中選會對因為不管因為大部分他都就是剛如同委員所講的純子緯這個案子都是被退回啦這個是都駁回上訴在審但是都是駁回就是說你這個案子是確定的而且應該要追回他的錢嘛對不對對但是他這樣拖拉我們認為審計部應該要有作為啊
transcript.whisperx[402].start 25442.026
transcript.whisperx[402].end 25465.808
transcript.whisperx[402].text 我們已經棄了公室 要中選會開始檢討陳主委中選會檢討沒有用啦 官官相護啦我認為說 這個一定要有作為今天這是一個案例喔因為你今天要是亂花人民的血換錢 不應該花的結果到最後法院也判決
transcript.whisperx[403].start 25467.287
transcript.whisperx[403].end 25492.623
transcript.whisperx[403].text 就20萬就好了其他都不必了你知道我們損計劃我們現在已經請中選會在追了我跟你講啦那個沈記長你中選會去追不如你們跟監察院甚至於啊該怎麼做你們要有作為啦人民都在看啦931萬不是9萬多人民的血汗錢一分一毫一厘都不能給他浪費這是我們的主責
transcript.whisperx[404].start 25495.265
transcript.whisperx[404].end 25520.293
transcript.whisperx[404].text 我要繼續追所以說沈記長你要把這個事情我相信你很清楚投追到現在那個俗話說身在公門好修行然而部分公務部門的這些勞役不均的問題導致人員流動高那人力之緊公部門首長主管掌握的權力包括烤雞
transcript.whisperx[405].start 25521.954
transcript.whisperx[405].end 25532.139
transcript.whisperx[405].text 沒有辦法全身自愛反而借端借勢想做皇帝那就更容易產生一些騷擾、霸凌等等這些案件
transcript.whisperx[406].start 25533.712
transcript.whisperx[406].end 25553.468
transcript.whisperx[406].text 我相信剛剛很多同仁都在提出說勞動部同仁親身的案子本席也感到遺憾跟不捨後續更爆出就業安定基金使用的不當這些問題今年11月底陳審計長有承諾一個月內你要提出報告請問審計長這個承諾到現在為止有沒有變
transcript.whisperx[407].start 25557.847
transcript.whisperx[407].end 25580.815
transcript.whisperx[407].text 沒有變自我會對外召開記者會正式的做說明我們會把這些報告送到立法院送到立法院好那目前曝光的不當使用項目舉辦客人的演唱會、裝潢、辦公室買咖啡豆等等沈記長還有哪些掌握不當使用項目可以對外說明嗎
transcript.whisperx[408].start 25581.995
transcript.whisperx[408].end 25599.713
transcript.whisperx[408].text 沿著上我們去查了以後發現不合用途的大概有5000多萬我們會收回會收回齁要繼續追啦我認為齁一定齁不能縱放而且齁
transcript.whisperx[409].start 25600.819
transcript.whisperx[409].end 25619.102
transcript.whisperx[409].text 全民都在看看你們到底有沒有作為另外對於就業安定基金不當使用勞動部長洪森漢已經承諾將在明年1月中提出強化的機制那本席是希望說省紀部也要提出就業安定基金
transcript.whisperx[410].start 25620.063
transcript.whisperx[410].end 25638.777
transcript.whisperx[410].text 的使用用途做規範不要再讓就業安定基金變成部會首長的小金庫你的看法呢我們會給勞動部一些意見包括希望能夠公開租用名系還有使用效率這個要公開透明
transcript.whisperx[411].start 25639.958
transcript.whisperx[411].end 25662.426
transcript.whisperx[411].text 那要是上網呢使用上網呢讓大家眾所周知啊對你支不支持支持那你就要求我認為說齁因為過去這段時間啊等於是小金庫那你不能只是勞動部的齁其他只要像這些基金一樣全部都要要求陳記長你的看法呢因為基金有時候齁
transcript.whisperx[412].start 25663.226
transcript.whisperx[412].end 25677.957
transcript.whisperx[412].text 像你台大也是一個作業基金那個就對他來講所以我們有一些像勞動部這一個因為是啟資一些特定的產業我們希望他能夠公布他用到哪裡去了
transcript.whisperx[413].start 25678.638
transcript.whisperx[413].end 25692.174
transcript.whisperx[413].text 陳記長你把這些資料統計以後本席需要一份我認為這個一定要公開透明讓大家眾所周知以遭公信好不好好的那我再請教陳記長這個
transcript.whisperx[414].start 25695.865
transcript.whisperx[414].end 25709.553
transcript.whisperx[414].text 口頭報告資料第4頁提到112年度.查發現財務上違私的案件有35件.其中通知各機關查明處分的有29件.受處分人員有141人次.
transcript.whisperx[415].start 25712.414
transcript.whisperx[415].end 25732.402
transcript.whisperx[415].text 審計部通知.機關查明.處分的部會.有國防部.經濟部.財政部.等等機關.反而勞動部沒有列在裡面.本期是希望審計部進行一一三年.決算審核報告時.勞動部要列為清查的重點.你的看法呢
transcript.whisperx[416].start 25733.223
transcript.whisperx[416].end 25748.401
transcript.whisperx[416].text 這因為發生了這麼大的一個影響這位很大的一個的案子我們會照委員的意思好好地來希望該有的大家該負的責任該怎麼做就怎麼做啦我認為說這些
transcript.whisperx[417].start 25751.485
transcript.whisperx[417].end 25777.157
transcript.whisperx[417].text 大家都在看為什麼因為你繳的那些外勞大家所聘請的每個月固定繳多少然後你用這些基金去就是到處亂花而且為所欲為你說大家怎麼看今天你要是沒有做出給老百姓給人民一個交代我相信啦人民會離政府越來越遠
transcript.whisperx[418].start 25778.786
transcript.whisperx[418].end 25793.765
transcript.whisperx[418].text 你認不認同我同意那接著就是年輕改革議題以陳審計長來討論本席其實我老早就呼籲改革必須要有公平性你認不認同
transcript.whisperx[419].start 25795.054
transcript.whisperx[419].end 25811.294
transcript.whisperx[419].text 任何的事情都要公平正義對那其實改革站在國民黨團的立場我們也都不反對那勞動部前部長何佩珊說政府撥補勞保戶最終支付的責任就是改革
transcript.whisperx[420].start 25812.556
transcript.whisperx[420].end 25834.196
transcript.whisperx[420].text 那撥補就是改革那新任勞動部長洪森漢表示說目前沒有砍勞動勞保幾戶的整個規劃這些話聽在一般退休的這些軍公教他的民眾耳朵裡面真的格外的諷刺那個沈記長
transcript.whisperx[421].start 25836.052
transcript.whisperx[421].end 25854.442
transcript.whisperx[421].text 因為過去我想蔡政府時代你就擔任了那到現在的賴政府高喊改革但卻只有找軍公教來下重手而且污名化軍公教製造階級對立
transcript.whisperx[422].start 25856.736
transcript.whisperx[422].end 25874.912
transcript.whisperx[422].text 那勞保改革卻遲遲沒有任何的動作那民進黨政府改革只做半套因為勞保最快倒大家都清清楚楚那我請問陳審計長對於勞保年金改革的意見是否能認為勞保撥補金額
transcript.whisperx[423].start 25878.314
transcript.whisperx[423].end 25894.444
transcript.whisperx[423].text 相較基金財務缺口.人數有限.建議勞動部重啟年改.並研議具體可行的.長期這個財務撥補計畫.那個.那個沈機長我們112年度有這樣的意見有這樣的意見希望他整個檢討檢討整個
transcript.whisperx[424].start 25904.635
transcript.whisperx[424].end 25929.445
transcript.whisperx[424].text 改革工程整個重啟再研究看看因為他有相當多的潛藏負債第二個也看看他的一些資金的投資過半面的效益的情形我們希望整個盤一盤檢討一下陳記長其實年改當初他是軍公教勞
transcript.whisperx[425].start 25931.841
transcript.whisperx[425].end 25953.436
transcript.whisperx[425].text 你要是說年改以後你要是站在公平而且讓大家能夠接受的一個平等線上我相信大家心無口但是啊他只有針對軍公教而且你通過這個法律照理講法律是不受既往你認不認同
transcript.whisperx[426].start 25955.018
transcript.whisperx[426].end 25971.145
transcript.whisperx[426].text 這一個因為是涉及高度政治不是這個不是高度政治今天不能講高度政治為什麼因為這是有關年改年金改革叫得漫天叫響但是
transcript.whisperx[427].start 25972.165
transcript.whisperx[427].end 25993.798
transcript.whisperx[427].text 最後只有針對性的而且喔講實在話啦變成人家說我已經在公部門我已經服務三四十年我退休以後我當初為什麼要跟政府這個來做這個工作我要去考試我才能夠升任我就是退休以後我有保障
transcript.whisperx[428].start 25995.509
transcript.whisperx[428].end 26021.276
transcript.whisperx[428].text 那既然要保障尤其人到一個年紀年紀越大他的支出越多為什麼他可能年長的要請外勞第二個他可能要年老多病要經常上醫院但是我當初有這樣的規劃當我退休的時候你把我從等於說我一個月可以領六萬你給我砍到三萬六就是年年砍年年扣
transcript.whisperx[429].start 26022.276
transcript.whisperx[429].end 26049.513
transcript.whisperx[429].text 你說這個對這些退休的軍公教公平嗎?那個沈記長你的想法勒?應該整個剛剛講的包括這些勞保的年金改革包括公務員的改革公務的這些改革應該政府應該再盤整一下盤整一下看看整個到底
transcript.whisperx[430].start 26050.694
transcript.whisperx[430].end 26066.66
transcript.whisperx[430].text 應該是怎麼樣的一個整體會對整個國家發展會最好對那些退休的軍公教他們混混不平因為我經常在基層跑很多基層退休的軍公教他們認為說
transcript.whisperx[431].start 26068.622
transcript.whisperx[431].end 26095.469
transcript.whisperx[431].text 為什麼我退休以後請來砍我你當初要是說我要做這項工作的時候你要是說我將來我退休以後年金一定只有60%那我就不選擇這個行業但是我已經做了三四十年我退休以後你再從我退休以後來砍我你要是說我今天立了這個法然後未來你要是要這份工作
transcript.whisperx[432].start 26096.249
transcript.whisperx[432].end 26106.281
transcript.whisperx[432].text 你就要有心理準備未來你大概就是你退休以後最多領六成年年減他心裡有數
transcript.whisperx[433].start 26107.321
transcript.whisperx[433].end 26125.704
transcript.whisperx[433].text 我認為這個才叫公平合理但是你當初開始的時候就說我要軍公教勞實際上只有改軍公教勞還連連撥補我不是說特別說去排斥勞沒有這個意思我是說一定要站在一個
transcript.whisperx[434].start 26126.525
transcript.whisperx[434].end 26155.039
transcript.whisperx[434].text 公平的平等線上你竟然要砍你就是軍公教全部都要做我相信那些軍公教他們沒有話講但是剛好對倒他只有針對性的所以說那些人啦混混不平啦軍公教他認為說當初我要是說真的你要是說給我砍到六成我就不選擇這份工作我還考試過來的勒那個沈記長你有什麼看法
transcript.whisperx[435].start 26156.597
transcript.whisperx[435].end 26166.205
transcript.whisperx[435].text 就尊重委員的一些這樣的一個看法這個也是政府要去看整個長遠的發展該怎麼樣是對國家最適最利的謝謝林德福委員也謝謝沈機長的詢問詢答
transcript.whisperx[436].start 26178.413
transcript.whisperx[436].end 26193.875
transcript.whisperx[436].text 接下來登記第6位賴會員委員之諮詢以書面提出請審計部書面答覆並列入紀錄刊登公報再接下來我們請登記第7位洪孟楷委員詢問
transcript.whisperx[437].start 26205.319
transcript.whisperx[437].end 26206.485
transcript.whisperx[437].text 好 主席謝謝 麻煩請陳審計長麻煩再請陳審計長
transcript.whisperx[438].start 26216.039
transcript.whisperx[438].end 26240.363
transcript.whisperx[438].text 國務委員好好 沈記長獨立、廉政、專業、創新是我們審計部的宗旨、使命對不對對所以本席15分鐘跟您就教來討論一下首先之前你在委員會裡面有承諾一個月內會針對公部門的霸凌案還有就業安定基金提出調查並且提出報告請教 什麼時候什麼時候會提出來
transcript.whisperx[439].start 26242.085
transcript.whisperx[439].end 26262.615
transcript.whisperx[439].text 當時答應都是一個月,現在年底到了就是一個月,因為當時11月,像那個調查我們已經有初步了,那個霸凌啊,因為既然要做了,要把它做好,我是全國包括中央包括地方啊,我開始整個在盤,因為這個
transcript.whisperx[440].start 26264.956
transcript.whisperx[440].end 26282.663
transcript.whisperx[440].text 整合盤點我們各公部門有霸凌的狀況你是調查去給這一個部門的單位主管說你們部門有沒有霸凌還是針對我們公務員不一樣喔因為過去勞動部第一次調查報告出來讓我們發現說根本就是關關相護啊
transcript.whisperx[441].start 26283.903
transcript.whisperx[441].end 26304.105
transcript.whisperx[441].text 利益良善.沒有直接霸凌.後來被全民華人而且要求之後.才做第二次的調查報告.部長離開之後.調查報告就變成是真相了.第二次調查報告出來之後.就變成是.有直接霸凌.有從屬關係.沒有利益良善.那一樣 沈記長我們最重要
transcript.whisperx[442].start 26305.168
transcript.whisperx[442].end 26331.708
transcript.whisperx[442].text 注度發生這麼大的事情我們要把注度把前者把注度整個把它盤出來哪一個地方切了規範哪一個地方切了注度有沒有訂相關的保障措施我們會就這方面做全盤的瞭解全盤瞭解所以年底以前會把這報告給出來會年底以前國人都聽到了那另外
transcript.whisperx[443].start 26332.489
transcript.whisperx[443].end 26350.146
transcript.whisperx[443].text 不管是外交部、交通部、速發部、衛福部、勞動部有這樣類似的狀況啊尤其我們有看到這個衛福部最近也有一個霸凌案件居然被人家認定是說是要求深蹲福利挺身是鼓勵沒有強迫
transcript.whisperx[444].start 26351.047
transcript.whisperx[444].end 26371.841
transcript.whisperx[444].text 我先請教沈記長你看到這樣的狀況這樣子的樣態算不算霸凌算不算職場霸凌因為這個大概規範不明確所以我們要把整個柱度還有整個把它清楚的理一理所以大概會要求相關部門包括考試院包括人事總署對這方面
transcript.whisperx[445].start 26372.501
transcript.whisperx[445].end 26372.621
transcript.whisperx[445].text 要規範明確
transcript.whisperx[446].start 26397.541
transcript.whisperx[446].end 26417.462
transcript.whisperx[446].text 霸凌的樣態非常多就如同性騷一樣啊真的被受到這樣子的一個待遇如果說真的心聲不舒服親懵懵程度上他可能就構成霸凌如同校園裡面有霸凌事件有什麼以前我們還有看到說有一些這種學生他要求你說站在那邊唱國歌有沒有
transcript.whisperx[447].start 26418.363
transcript.whisperx[447].end 26436.196
transcript.whisperx[447].text 這某種程度上也是霸凌啊或是說現在我們看到說要求你深蹲要求你福利挺身欸好端端的我在職場裡面為什麼要受到這樣子不公平的待遇而且因為上對下的一個關係而要求這樣的狀況這某種程度上就是構成霸凌但衛福部任長不是
transcript.whisperx[448].start 26437.037
transcript.whisperx[448].end 26452.053
transcript.whisperx[448].text 不能造成說有些單位認為是霸凌有些單位不是霸凌那這樣子全國就沒有一致的標準了所以沈記長您的報告裡面出來會把這些霸凌的樣態以及標準給羅列清楚是不是第一個我要求我們的同仁去看國外的狀況第二個
transcript.whisperx[449].start 26454.715
transcript.whisperx[449].end 26471.247
transcript.whisperx[449].text 校園的霸凌我們也要了解因為校園的霸凌也常常會發生我們也要了解校園的霸凌再來我們也會去了解國軍的霸凌因為國軍是高度嚴格管理所以這些霸凌的從這裡來看我們這個公務的一個霸凌我們是寧願從
transcript.whisperx[450].start 26479.473
transcript.whisperx[450].end 26497.246
transcript.whisperx[450].text 把這個標準認定清楚標準我們希望單位裡面去把這些標準訂得合理合情合理合情好我們國人期待我們年底在不到兩個禮拜的時間能夠有一個獨立廉政專業創新的審計報告我們努力再來
transcript.whisperx[451].start 26501.021
transcript.whisperx[451].end 26516.066
transcript.whisperx[451].text 市長一樣想請教就業安定基金很多剛剛林德福委員也請教過了本次也聽到你講是說當然要求應該勞動部要做相關的一個規範嘛我就提一點啦我們的基金管理可以有一國兩制一國多制嗎
transcript.whisperx[452].start 26517.247
transcript.whisperx[452].end 26539.641
transcript.whisperx[452].text 不應該吧 不應該 不應該 同意的附屬單位算足行用是 在這一次的就案令基金裡面有一個很嚴重的狀況就是當他使用了基金去做電子採購即便他12點裡面認定 沈議長之前講是說這個所謂的演唱會叫做政令宣導或是政策宣傳但是實際上就案令基金裡面是沒有這樣規範不過
transcript.whisperx[453].start 26541.622
transcript.whisperx[453].end 26555.762
transcript.whisperx[453].text 至少省紀部這邊已經要處理可是我們要關心的是什麼關心的是說當初在救安定基金使用的時候他其實電子採購並沒有在勞動部的官方網站上面來把這列表給列出來
transcript.whisperx[454].start 26556.513
transcript.whisperx[454].end 26576.903
transcript.whisperx[454].text 他畢竟是說要回歸到工程會裡面的電子採購的大水庫裡面你要特定的標案特定的關鍵字你才有辦法找到但是文化部其他部會有些部會的就相關的基金使用他的電子採購的基金使用項目他就直接羅列在他的官方網站上面
transcript.whisperx[455].start 26577.603
transcript.whisperx[455].end 26591.484
transcript.whisperx[455].text 所以如果說您剛剛講跟林德福委員講是說要求他們應該要公開透明的話是不是能夠先要求所有的部會基金使用只要是電子採購的部分都應該羅列在他們的官方網站您怎麼說
transcript.whisperx[456].start 26593.034
transcript.whisperx[456].end 26613.947
transcript.whisperx[456].text 委員是這樣剛剛我先澄清我在委員會談的那個是我們看到他是科目是出在政令宣導不是我說他那個他用政令宣導來解釋來第二個啊我們剛剛委員那講了我們查到他沒採購
transcript.whisperx[457].start 26615.319
transcript.whisperx[457].end 26629.569
transcript.whisperx[457].text 他直接用那個開口契約他開口契約契約就是文憲、鄭麗仙黨還有一個大包裡面然後其中就只有要求廠商去處理了對不對那這樣子就更難防範了這我們是採購議場我們送檢調、送監察案
transcript.whisperx[458].start 26633.191
transcript.whisperx[458].end 26654.949
transcript.whisperx[458].text 好那再拉回來現在所有的就業安定基金也好或說相關基金的使用因為不只是農業勞動部啊農業部其實也有類似的狀況啊我們之前有講過是說上農產品雞蛋當時雞蛋補助的時候111年農業部就用農產品受進口損害救助基金來撥補上億元
transcript.whisperx[459].start 26656.73
transcript.whisperx[459].end 26672.467
transcript.whisperx[459].text 但是我們去看農產品受進口損害救濟基金的相關規定裡面其實它針對的是關稅調漲與否以及開放進口而遭受損害但國內的雞蛋其實大家知道原因是飼料成本上漲跟禽流感
transcript.whisperx[460].start 26673.288
transcript.whisperx[460].end 26697.456
transcript.whisperx[460].text 所以他其實跟進口的關稅沒有直接的關聯好可是我們現在要求的是說所有的基金的使用各部會不能變成是部長的小金庫所以如果說有動動到所謂的電子採購的部分的話是不是應該要求所有部會他們要羅列在他們官網上面依照採購法的規定這些如果超過一定的規定都要上採購網
transcript.whisperx[461].start 26698.396
transcript.whisperx[461].end 26698.436
transcript.whisperx[461].text 那個委員這個
transcript.whisperx[462].start 26721.26
transcript.whisperx[462].end 26723.141
transcript.whisperx[462].text 我同意委員的意思好謝謝那沈議長我們要要求各部會做吧
transcript.whisperx[463].start 26739.891
transcript.whisperx[463].end 26766.273
transcript.whisperx[463].text 對阿當然什麼時候能夠做到這個我們回去阿我們查核完以後阿剛剛講阿像那個農委會的那些阿我們也都像有一些不合規定的我們也都把它檢列啦這所以給委員知道我們農委會也檢了3億多好沈記長剛剛有特別講到說會要求各部會把相關的各部會用到的電子採購放入在他們官網
transcript.whisperx[464].start 26767.418
transcript.whisperx[464].end 26793.372
transcript.whisperx[464].text 以招公信也讓全民能夠檢視我想預算現在是預算審查會期預算當用則用當審則審我不會要人家說這個要馬跑又要馬不吃草但是如果說不該花的費用我們一毛也不能浪費我想這是我們共同的立場來沈記長既然接下來第三點剛剛本席也特別聽您的報告請您在這次有特別提到說政府的打詐的部分
transcript.whisperx[465].start 26794.092
transcript.whisperx[465].end 26816.696
transcript.whisperx[465].text 但是越打越詐其實也是不爭的事實為什麼因為從詐騙的案件數跟詐騙的金額來講節節升高但其中我記得我之前在委員會的時候也請教過您我這一次再請教您因為這代表是說我們審計單位到底有沒有如實的去查核我們行政部門的一個行政效率因為112年的時候我們的財損是88億
transcript.whisperx[466].start 26823.24
transcript.whisperx[466].end 26851.659
transcript.whisperx[466].text 有37000多件但到113年也就是今年到10月底就已經高達7萬多件並且財損274億三倍之多詐騙的案件是兩倍財損是三倍那去年到今年為什麼突然間有大幅度的成長如果說是經濟成長我當然很拍拍手但不是是詐騙案件的成長是財損案件的成長
transcript.whisperx[467].start 26853.81
transcript.whisperx[467].end 26879.818
transcript.whisperx[467].text 委員非常謝謝我們第一個委員這樣玩以後我們114年我們會專案查核就是查核他這些統計這些事物都有一個真實性透明剛剛那個我看出來政府已經面對他所以他比較公開透明所以之前政府沒面對之前政府不夠公開透明
transcript.whisperx[468].start 26881.799
transcript.whisperx[468].end 26883.26
transcript.whisperx[468].text 現在疫苗版跑出五百多億了
transcript.whisperx[469].start 26904.554
transcript.whisperx[469].end 26925.979
transcript.whisperx[469].text 是啊那500多億我們看前幾年因為詐騙案件不是你我大家共同關心我們生活在2300萬人生活在這塊土地上我們都希望政府拿出具體辦法但是具體辦法先決條件第一就是面對問題面對問題才能解決問題但過去看起來全部都是美化數字造假數字
transcript.whisperx[470].start 26928.105
transcript.whisperx[470].end 26956.605
transcript.whisperx[470].text 說謊的數字啊所以沈記長您剛有提到什麼時候可以提出來檢視過去為什麼過去的數字跟現在的數字天壤之別因為這樣啊 鮑委員我們是每年查完以後會會有一個總結算會有審核報告出來我們是納入這個總結算的審核報告什麼時候 今年年底嗎明年的我們明年的七月底會把總結算審核報告編好
transcript.whisperx[471].start 26957.526
transcript.whisperx[471].end 26986
transcript.whisperx[471].text 沈記長是要再給時間讓國人遺忘這件事情還是怎麼樣現在已經看到了你剛也講了儀表板500多億沈記長去年你今天的決算報告去年是88億今年儀表板是500億差了5倍欸那5倍這樣子的數字不用去了解跟調查嗎要啊對
transcript.whisperx[472].start 26987.81
transcript.whisperx[472].end 27017.108
transcript.whisperx[472].text 那你跟我講說明年7月才能夠做出來那是我的審核報告能不能先讓國人了解一下就像您剛講的我們要調查全國的公部門的霸凌事件能不能先讓國人清楚明白了解到底為什麼會有那麼大的一個落差是真的今年詐騙太猖狂太氾濫還是過去的數字是造假的過去88億是沒有符合現實的委員這樣給我三個億
transcript.whisperx[473].start 27020.56
transcript.whisperx[473].end 27047.293
transcript.whisperx[473].text 三個月對沈議長您說的我希望真的能夠拿出獨立客觀的調查報告最後斑斑有鮮乳農業部農業部這個政策我特別翻了一下我們的決算報告其實我們審計單位已經有提醒農業部因為我們有看到的是說審計部的報告裡面國產鮮乳跟進口鮮乳是最高有差到21塊的價格
transcript.whisperx[474].start 27048.914
transcript.whisperx[474].end 27077.806
transcript.whisperx[474].text 那如果說2025年紐西蘭的進口液態乳﹐零關稅上路的話﹐其實會衝擊影響﹐所以省紀部報告裡面﹐已經要求農業部規劃本土乳業轉型﹐以因應衝擊﹐我給予肯定﹐可是當農業部提出來的一個做法﹐他用113年到116年的﹐養牛產業全面升級轉型計劃﹐裡面的其中又還一年要花15億﹐的公務預算﹐做什麼﹐
transcript.whisperx[475].start 27078.53
transcript.whisperx[475].end 27094.282
transcript.whisperx[475].text 做一個班班有先辱結果我不知道沈機長有沒有看到最近從9月開學了還沒有辦法拿到10月大家先辱之亂11月農業部部長出來講是說如果學校真的沒有辦法配合的話可以不要配合
transcript.whisperx[476].start 27095.29
transcript.whisperx[476].end 27117.526
transcript.whisperx[476].text 甚至我們有一些縣市政府的學校大家直接講啊要班班有鮮乳之前先拜託班班有冰箱吧不然鮮乳來那個天氣熱一下就壞掉天氣冷你要怎麼樣讓學童能夠拿回去這都是一個問題好15億的預算到現在執行了狀況真的是讓大家天怒人怨啊
transcript.whisperx[477].start 27118.546
transcript.whisperx[477].end 27144.408
transcript.whisperx[477].text 這樣子的一個政策錯誤的部分有沒有檢討的必要?我們審計單位能夠怎麼樣來把它導正?我們近期會這樣進行查核瞭解。我們就是希望...近期會查核瞭解?希望做一個事情效益非常重要,配套也非常重要。是!就是當初我們...連審計長你都會提出來就沒想到農業專業教育專業完全不知道沒有配套教育部雙手一攤然後就是把問題丟給地縣的學校老師
transcript.whisperx[478].start 27145.815
transcript.whisperx[478].end 27170.186
transcript.whisperx[478].text 來,什麼時候能夠跟國人有一個具體的瞭解?我們近期會去,大概會給我三個月。好,謝謝洪孟凱委員的詢問,謝謝沈議長的詢答。
transcript.whisperx[479].start 27173.816
transcript.whisperx[479].end 27187.281
transcript.whisperx[479].text 跟我們議會報告跟院會報告現在在我們一場二樓的來賓是來自美國東部跨州所有的州議員訪問團Welcome ladies and gentlemen我們掌聲歡迎
transcript.whisperx[480].start 27191.185
transcript.whisperx[480].end 27204.258
transcript.whisperx[480].text 在接下來我們登記第8位武力華委員之諮詢以書面提出請審計部書面答覆並列入紀錄刊登公報在接下來我們請登記第9號賴世寶委員詢問
transcript.whisperx[481].start 27215.861
transcript.whisperx[481].end 27222.263
transcript.whisperx[481].text 謝謝韓院長主席以及各位親信有請審計長麻煩再請陳審計長大家午安好審計長我看你今天情形不錯
transcript.whisperx[482].start 27232.689
transcript.whisperx[482].end 27238.193
transcript.whisperx[482].text 今天從開始到現在講一個大家關心的這個就業安定基金你說被不法使用有五千多萬
transcript.whisperx[483].start 27254.808
transcript.whisperx[483].end 27266.622
transcript.whisperx[483].text 要追回請問你怎麼追回不是基金用途不合基金用途請問你怎麼追回因為我們會修正簡略不是不是簡略誰要負責這筆錢呢
transcript.whisperx[484].start 27268.49
transcript.whisperx[484].end 27287.959
transcript.whisperx[484].text 因為他可能啊他有的時候我們來看這個事情啊修辦公室可能有的需要或者是做某一個事情需要我問的重點就是這筆錢是要叫這個勞動部賠把錢列掉還是叫許明春用的人賠
transcript.whisperx[485].start 27289.159
transcript.whisperx[485].end 27303.775
transcript.whisperx[485].text 這一個是這樣這一個因為我們會有的會送檢查案有的會送檢調我們會看檢調檢查案最後的處理結果到底是要個人賠還是要單位賠
transcript.whisperx[486].start 27304.918
transcript.whisperx[486].end 27320.653
transcript.whisperx[486].text 這一個初步我們會先做簡略那就是單位賠嘛他放在那個就業安地基金的他不合他的用途我們簡略那你簡略我們要請目前在請會請勞動部說明
transcript.whisperx[487].start 27324.38
transcript.whisperx[487].end 27350.643
transcript.whisperx[487].text 沈機長你這樣糊弄大家這筆錢等於還是政府出啊被不當使用還是政府出啊我們要一個東西就是他不當使用用的人要賠這個比較重要啊你如果是政府賠就一樣左手右手這個政府那個政府等於都沒人賠啊要人賠誰使用誰不當使用那個人要賠你同意嗎
transcript.whisperx[488].start 27352.522
transcript.whisperx[488].end 27366.166
transcript.whisperx[488].text 這個我們所有的要看財務責任是誰請問你同意嗎個人要賠你不當使用就要賠這一個因為賠不賠這一個要看整個整個損棄花線這個你說當然是這個要我們就要剔除就要減淚
transcript.whisperx[489].start 27376.489
transcript.whisperx[489].end 27398.73
transcript.whisperx[489].text 來 沈機長你講一波簡略的結果還是政府負責嘛所以等於是黑貓偷吃你殺白貓啊老百姓是白貓啊這部會首長這大官他亂用結果你處罰也是處罰老百姓這不公平啊對不對黑貓偷吃你打白貓變這樣啊
transcript.whisperx[490].start 27401.104
transcript.whisperx[490].end 27425.84
transcript.whisperx[490].text 對不對,所以你這個糊弄大家哇,我剛剛看那些新聞,歐外情咧歐外情咧,說這樣審計上要抓這個五千萬結果你仔細一看,都是假因為什麼?還是政府出還是政府出所以啊,你要追到說這個錢誰不當使用那個人要把口袋的錢拿出來賠,這樣才有去賠可以做得到嗎?
transcript.whisperx[491].start 27427.367
transcript.whisperx[491].end 27437.946
transcript.whisperx[491].text 這一個我們要看檢調還有看監察院整個調查結果因為我們沒有調查權你還是做不到來我問你一個東西啊要OLA SEBS
transcript.whisperx[492].start 27439.184
transcript.whisperx[492].end 27464.382
transcript.whisperx[492].text 加拉丁美洲及加勒比海.最高的審計機關.我們國家106年.最後一次林慶榮.審計長.參加了.之後.沒有參加了.這麼重要的國際機構.拉丁美洲跟我們.很多的國家.跟我們有邦交國.而且明年又是巴拉圭.請問你要不要去.你要不要去.
transcript.whisperx[493].start 27468.247
transcript.whisperx[493].end 27487.159
transcript.whisperx[493].text 報告委員這個因為去要有那個我們沒有參加上次前幾年是疫情所以大家就這一方面就停下來再來我們是去我們是發展到OECD歐美國家因為這個最高審計組織這個OnaSense這個是因為我們去了很多年了
transcript.whisperx[494].start 27493.274
transcript.whisperx[494].end 27519.866
transcript.whisperx[494].text 你還不去?我們去了很多年了啊這幾年都沒有啊因為去了很多年了那邊的國家的損濟狀況損濟方法我們都了解了現在我是參加我們請我的同仁到去巴黎去那個歐美去美國去參加OECD的你自己不去嗎?請問你自己不去嗎?
transcript.whisperx[495].start 27520.846
transcript.whisperx[495].end 27529.971
transcript.whisperx[495].text 因為這個還是由同仁阿 年輕的同仁阿來參加為什麼林青龍就去他審計長就去阿 阿代表你不重視喔
transcript.whisperx[496].start 27531.089
transcript.whisperx[496].end 27537.432
transcript.whisperx[496].text 我們現在中華民國能夠走出去的國際組織已經不多了如果能夠讓我們走出去代表我們的國家能夠走出去這是何等重要的事情
transcript.whisperx[497].start 27557.981
transcript.whisperx[497].end 27561.384
transcript.whisperx[497].text 明年你要去聽說只不敢講而已我明年沒有要去都沒有要去確定沒有
transcript.whisperx[498].start 27584.824
transcript.whisperx[498].end 27598.098
transcript.whisperx[498].text 我都沒有要去因為齁我認為年輕讓我們的年輕同仁啊出去的效益大於我沈記長出去沈記長不一樣啊你代表國家你小看自己啊你是怕死喔
transcript.whisperx[499].start 27600.98
transcript.whisperx[499].end 27622.558
transcript.whisperx[499].text 實際上這個國際主持我們106年到現在都沒有參加了欸為什麼不去當然要去啊而且去的話說不定可以用我們國號啊、立法會的簽啊或者台灣都可以用我們的名字去啊為什麼不可以對不對這麼重要的結果我看你哈哈哈哈怎麼會這樣子呢實際上光這一點啊
transcript.whisperx[500].start 27623.559
transcript.whisperx[500].end 27637.494
transcript.whisperx[500].text 我就讓我對你的尊敬就鑑定一半了這陳記長這樣不行了不行了來我們就看你主要的你的第二預備金了我把你統計都只有你16
transcript.whisperx[501].start 27639.622
transcript.whisperx[501].end 27663.803
transcript.whisperx[501].text 第二預備金都在9月底10月開始申請可能有什麼事情不夠了錢不夠了要申請一個第二預備金結果欸戰爭老坑毛坑不拉屎欸要了一大堆錢不用來來來我們看喔從110年到112年最嚴重的是哪個單位啊文化部的台灣美術館
transcript.whisperx[502].start 27666.344
transcript.whisperx[502].end 27688.89
transcript.whisperx[502].text 99.47%他要了100塊呀99塊不用耶再來第二個單位內政部預政署99.6%剩下的錢了再來法務部行政執政署剩了96%再來行政院啊行政院今天做龍太婆來啊行政院要一堆錢結果94%沒用再來主計總署喔
transcript.whisperx[503].start 27693.411
transcript.whisperx[503].end 27699.757
transcript.whisperx[503].text 要了一堆錢92%沒有用 審計長你要查查看嗎?這個亂 口口咧 聽我講完 審計等於是第二預備金啊 這個錢我要 那個錢我要 落地落地啊 燒燒啊都沒用
transcript.whisperx[504].start 27709.006
transcript.whisperx[504].end 27723.198
transcript.whisperx[504].text 阿怎麼會這個樣子呢?怎麼會這個樣子呢?動之第2位北京就是經費不敷對啊!可是他這經費還保留下來那是顯然這個有那個我們會給行政院注意到這個事情你們要不要查?會查!
transcript.whisperx[505].start 27726.58
transcript.whisperx[505].end 27750.245
transcript.whisperx[505].text 因為這個我們的,謝謝委員,這個我們的發現一年差不多有兩、動租完以後有兩三億的保留每年都有兩三億的就是說,這幾個單位,第1會期是救命的前提這幾個單位搶錢啦,放在地上都沒用你看,你看喔,行政院,左龍泰帶頭對不對,他上一屆不是左龍泰啦
transcript.whisperx[506].start 27752.246
transcript.whisperx[506].end 27767.858
transcript.whisperx[506].text 陳、陳、陳什麼的,陳建仁,帶頭做不好的示範啊,要了100塊,只用了不到6塊,對不對,剩94天多,你看,文化部,要了100塊,用不到1塊錢,用不到1塊錢,法務部也是這樣,要100塊,用了4塊,不到4塊錢,
transcript.whisperx[507].start 27775.329
transcript.whisperx[507].end 27777.45
transcript.whisperx[507].text 委員講得很好,我們會要求行政院改善
transcript.whisperx[508].start 27795.728
transcript.whisperx[508].end 27823.115
transcript.whisperx[508].text 要叫行政院 這行政院做得不好嘛行政院做得不好嘛 對不對也不是說 那個應該 住度 法律的住度啊就是說 監衛 凍住第二杯先第一條 第一款就是監衛不服使用的對啊 這你不夠錢了你才用啊還凍住了以後還保了 這個這個現象不正常什麼時候可以完成調查跟糾正 什麼時候一個月內
transcript.whisperx[509].start 27824.555
transcript.whisperx[509].end 27852.97
transcript.whisperx[509].text 兩個禮拜可以啦一個月那麼好啊因為要我現在啊委員要我調查要我審計的非常的多啊所以喔那我再看一個很重要很重要的題目喔來來來我看喔你是管審計長管錢怎麼使用喔結果我們這幾年了喔政府都說不可以給地方政府喔財化法喔你們要錢喔喔怎麼樣公開那個廢修署啊
transcript.whisperx[510].start 27853.78
transcript.whisperx[510].end 27861.185
transcript.whisperx[510].text 你看喔2021年﹐稅金剩餘2979億快要3000億喔2022年﹐4993億快要5000億2023年﹐2790億快要3000億可見這幾年我還查2020、2019每一年的稅金剩餘都是2500到5000億可見的什麼意思我都給你了封好了 預算都通過了
transcript.whisperx[511].start 27883.96
transcript.whisperx[511].end 27905.825
transcript.whisperx[511].text 你中央自信不完.把這個錢.下來.垂直分配.給地方政府.不是好歸好歸.根本這什麼歐北亂共.什麼哎呦不得了喔.這個才挖挖一分的垂直分配.中央沒有錢了.國防沒有錢了.這樣胡說八道.中央每年省的錢.稅計剩餘.就剩了2500到5000億之多.
transcript.whisperx[512].start 27910.227
transcript.whisperx[512].end 27920.086
transcript.whisperx[512].text 所以這些錢垂直分配給地方政府安否合適合適安否合適合適來沈機長我這樣的講話有沒有錯你告訴我有沒有錯
transcript.whisperx[513].start 27922.923
transcript.whisperx[513].end 27950.637
transcript.whisperx[513].text 中央這幾年都有稅金剩餘但是地方我們查的地方112年度它的統計起來加起來也有560億的剩餘所以我們的財政在逐步改善中都會很好沒有回到問題啊我問你說中央都這幾年來有2500億到5000億用不完用不完用不完那就給地方政府用
transcript.whisperx[514].start 27951.617
transcript.whisperx[514].end 27980.676
transcript.whisperx[514].text 就給地方政府用啊才華娃就是這樣的概念本席提出來3000億給地方政府所以垂直分配中央給地方從這個表更能夠來強化It's about the timeIt's about the time中央你要allocation這些resources給我們的local government
transcript.whisperx[515].start 27981.346
transcript.whisperx[515].end 27993.003
transcript.whisperx[515].text 這個很重要才化法要修錢在這裡錢在那裡在這裡不是亂講一通什麼這個就沒有錢了國外沒有錢每年都剩了2500億到5000億你看2022年剩了快5000億了
transcript.whisperx[516].start 27998.325
transcript.whisperx[516].end 28011.367
transcript.whisperx[516].text 錢用不完啦錢用不完啦所以才劃滑垂直分配中央給地方2500億到5000億天經地義天公地道你說對不對
transcript.whisperx[517].start 28014.333
transcript.whisperx[517].end 28035.713
transcript.whisperx[517].text 財務要考量中央還有地方的財政狀況剛剛講中央現在不錯地方也不錯但是在劃分的時候錢和數目也要一起考量有時候一個龍水路的問題它會跑到中央來
transcript.whisperx[518].start 28036.774
transcript.whisperx[518].end 28050.601
transcript.whisperx[518].text 沈記長我問你都紮紮實實的問題啊你回答我都是天馬行空啊都歐北這樣歐陵勢動啊勢戰勢戰不能這樣子啦沈記長最後一題啊我們來看喔政府的潛在負債啊你看多嚴重啊勞保12兆我還客氣的救治的軍工教3.2兆
transcript.whisperx[519].start 28062.935
transcript.whisperx[519].end 28090.158
transcript.whisperx[519].text 公務人員退伍基金2.9兆、公保700多億、軍保200多億、 農保1.2兆、中央地方政府19.2兆、中央都沒有錢了, 哪裡有錢來補助臺電啊?臺電2000億砍殺天津地, 而且臺電的經濟部長還居然說什麼?ㄟ柏齊萬斤啊,我可以去借錢!我可以借錢!你是不是贊成2000億不要給他?
transcript.whisperx[520].start 28091.203
transcript.whisperx[520].end 28116.228
transcript.whisperx[520].text 他有幫他去借錢了他借很多錢了他說他去借錢了他已經借很多錢了他借再多不愁再多不借因為他大家都就是能源對國家相當重要大家以國家整體為念今天我問你因為我時間快到了是不是因為我們錯誤的人權政策讓我們台電虧損雷電對吧這句話
transcript.whisperx[521].start 28119.912
transcript.whisperx[521].end 28120.352
transcript.whisperx[521].text 謝謝賴氏寶維的詢問也謝謝陳審計長的詢答
transcript.whisperx[522].start 28151.328
transcript.whisperx[522].end 28169.401
transcript.whisperx[522].text 法院會議112年度中央政府總決算審核報告案之諮詢已詢答完畢我們非常感謝陳審計長及審計部所有列席的官員進行報告答詢我們現在做以下決定一、中華民國112年度中央政府總決算及
transcript.whisperx[523].start 28170.061
transcript.whisperx[523].end 28194.504
transcript.whisperx[523].text 附屬單位決算.一、終計表審核報告案.交財政委員會會同有關委員會審查.二、將各委員會發言記錄.及書面諮詢含送審計部.請就未答覆部分予以書面答覆.三、以刊登之書面諮詢.尚未登載公報者.一律補刊.
transcript.whisperx[524].start 28195.967
transcript.whisperx[524].end 28215.473
transcript.whisperx[524].text 第二、繼續處理復議案.現有本院民進黨黨團.針對第12次會議報告事項.第13案.及第35案之決定.提出復議案.請公決案.我們做以下決定.令定期處理報告院會本次會議進行到此為止先來散會