iVOD / 159303

Field Value
IVOD_ID 159303
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/159303
日期 2025-03-18
會議資料.會議代碼 院會-11-3-5
會議資料.會議代碼:str 第11屆第3會期第5次會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 5
會議資料.種類 院會
會議資料.標題 第11屆第3會期第5次會議
影片種類 Clip
開始時間 2025-03-18T10:51:11+08:00
結束時間 2025-03-18T11:21:38+08:00
影片長度 00:30:27
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/1468b0c2f72abc7f3e9234fde0aab3b2192e6bfb57ea0be442a32476d80bf290be43c8a959977bea5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 邱鎮軍
委員發言時間 10:51:11 - 11:21:38
會議時間 2025-03-18T09:00:00+08:00
會議名稱 第11屆第3會期第5次會議(事由:一、對行政院院長提出施政方針及施政報告繼續質詢。二、3月14日上午9時至10時為國是論壇時間。三、3月18日下午2時15分至2時30分為處理臨時提案時間。)
transcript.pyannote[0].speaker SPEAKER_05
transcript.pyannote[0].start 2.79846875
transcript.pyannote[0].end 3.67596875
transcript.pyannote[1].speaker SPEAKER_05
transcript.pyannote[1].start 3.82784375
transcript.pyannote[1].end 5.38034375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 5.71784375
transcript.pyannote[2].end 7.06784375
transcript.pyannote[3].speaker SPEAKER_05
transcript.pyannote[3].start 16.34909375
transcript.pyannote[3].end 17.98596875
transcript.pyannote[4].speaker SPEAKER_05
transcript.pyannote[4].start 18.44159375
transcript.pyannote[4].end 21.64784375
transcript.pyannote[5].speaker SPEAKER_05
transcript.pyannote[5].start 22.05284375
transcript.pyannote[5].end 24.60096875
transcript.pyannote[6].speaker SPEAKER_05
transcript.pyannote[6].start 24.92159375
transcript.pyannote[6].end 26.17034375
transcript.pyannote[7].speaker SPEAKER_05
transcript.pyannote[7].start 27.48659375
transcript.pyannote[7].end 33.22409375
transcript.pyannote[8].speaker SPEAKER_04
transcript.pyannote[8].start 33.98346875
transcript.pyannote[8].end 34.00034375
transcript.pyannote[9].speaker SPEAKER_05
transcript.pyannote[9].start 34.00034375
transcript.pyannote[9].end 37.10534375
transcript.pyannote[10].speaker SPEAKER_05
transcript.pyannote[10].start 37.79721875
transcript.pyannote[10].end 40.95284375
transcript.pyannote[11].speaker SPEAKER_05
transcript.pyannote[11].start 41.62784375
transcript.pyannote[11].end 42.77534375
transcript.pyannote[12].speaker SPEAKER_05
transcript.pyannote[12].start 43.07909375
transcript.pyannote[12].end 44.20971875
transcript.pyannote[13].speaker SPEAKER_05
transcript.pyannote[13].start 45.13784375
transcript.pyannote[13].end 49.12034375
transcript.pyannote[14].speaker SPEAKER_05
transcript.pyannote[14].start 49.50846875
transcript.pyannote[14].end 50.62221875
transcript.pyannote[15].speaker SPEAKER_05
transcript.pyannote[15].start 50.99346875
transcript.pyannote[15].end 53.05221875
transcript.pyannote[16].speaker SPEAKER_05
transcript.pyannote[16].start 53.37284375
transcript.pyannote[16].end 55.34721875
transcript.pyannote[17].speaker SPEAKER_05
transcript.pyannote[17].start 56.34284375
transcript.pyannote[17].end 57.16971875
transcript.pyannote[18].speaker SPEAKER_05
transcript.pyannote[18].start 57.20346875
transcript.pyannote[18].end 58.24971875
transcript.pyannote[19].speaker SPEAKER_05
transcript.pyannote[19].start 58.55346875
transcript.pyannote[19].end 61.20284375
transcript.pyannote[20].speaker SPEAKER_05
transcript.pyannote[20].start 61.92846875
transcript.pyannote[20].end 66.34971875
transcript.pyannote[21].speaker SPEAKER_05
transcript.pyannote[21].start 66.72096875
transcript.pyannote[21].end 67.02471875
transcript.pyannote[22].speaker SPEAKER_05
transcript.pyannote[22].start 67.34534375
transcript.pyannote[22].end 68.18909375
transcript.pyannote[23].speaker SPEAKER_05
transcript.pyannote[23].start 73.38659375
transcript.pyannote[23].end 77.03159375
transcript.pyannote[24].speaker SPEAKER_05
transcript.pyannote[24].start 77.35221875
transcript.pyannote[24].end 80.06909375
transcript.pyannote[25].speaker SPEAKER_05
transcript.pyannote[25].start 81.04784375
transcript.pyannote[25].end 83.68034375
transcript.pyannote[26].speaker SPEAKER_05
transcript.pyannote[26].start 84.23721875
transcript.pyannote[26].end 87.61221875
transcript.pyannote[27].speaker SPEAKER_05
transcript.pyannote[27].start 88.01721875
transcript.pyannote[27].end 89.78909375
transcript.pyannote[28].speaker SPEAKER_05
transcript.pyannote[28].start 90.34596875
transcript.pyannote[28].end 93.29909375
transcript.pyannote[29].speaker SPEAKER_05
transcript.pyannote[29].start 94.17659375
transcript.pyannote[29].end 105.31409375
transcript.pyannote[30].speaker SPEAKER_05
transcript.pyannote[30].start 106.91721875
transcript.pyannote[30].end 107.35596875
transcript.pyannote[31].speaker SPEAKER_05
transcript.pyannote[31].start 108.06471875
transcript.pyannote[31].end 114.20721875
transcript.pyannote[32].speaker SPEAKER_05
transcript.pyannote[32].start 115.11846875
transcript.pyannote[32].end 116.40096875
transcript.pyannote[33].speaker SPEAKER_05
transcript.pyannote[33].start 116.65409375
transcript.pyannote[33].end 119.08409375
transcript.pyannote[34].speaker SPEAKER_05
transcript.pyannote[34].start 119.53971875
transcript.pyannote[34].end 120.34971875
transcript.pyannote[35].speaker SPEAKER_05
transcript.pyannote[35].start 120.80534375
transcript.pyannote[35].end 122.12159375
transcript.pyannote[36].speaker SPEAKER_05
transcript.pyannote[36].start 122.39159375
transcript.pyannote[36].end 125.17596875
transcript.pyannote[37].speaker SPEAKER_05
transcript.pyannote[37].start 126.00284375
transcript.pyannote[37].end 127.06596875
transcript.pyannote[38].speaker SPEAKER_05
transcript.pyannote[38].start 127.45409375
transcript.pyannote[38].end 128.46659375
transcript.pyannote[39].speaker SPEAKER_05
transcript.pyannote[39].start 129.41159375
transcript.pyannote[39].end 133.93409375
transcript.pyannote[40].speaker SPEAKER_05
transcript.pyannote[40].start 134.65971875
transcript.pyannote[40].end 138.22034375
transcript.pyannote[41].speaker SPEAKER_05
transcript.pyannote[41].start 138.70971875
transcript.pyannote[41].end 142.37159375
transcript.pyannote[42].speaker SPEAKER_05
transcript.pyannote[42].start 142.87784375
transcript.pyannote[42].end 145.79721875
transcript.pyannote[43].speaker SPEAKER_05
transcript.pyannote[43].start 146.11784375
transcript.pyannote[43].end 150.43784375
transcript.pyannote[44].speaker SPEAKER_05
transcript.pyannote[44].start 151.01159375
transcript.pyannote[44].end 153.82971875
transcript.pyannote[45].speaker SPEAKER_05
transcript.pyannote[45].start 154.40346875
transcript.pyannote[45].end 157.13721875
transcript.pyannote[46].speaker SPEAKER_05
transcript.pyannote[46].start 157.45784375
transcript.pyannote[46].end 161.72721875
transcript.pyannote[47].speaker SPEAKER_05
transcript.pyannote[47].start 161.84534375
transcript.pyannote[47].end 162.87471875
transcript.pyannote[48].speaker SPEAKER_05
transcript.pyannote[48].start 163.19534375
transcript.pyannote[48].end 165.47346875
transcript.pyannote[49].speaker SPEAKER_05
transcript.pyannote[49].start 166.19909375
transcript.pyannote[49].end 168.44346875
transcript.pyannote[50].speaker SPEAKER_05
transcript.pyannote[50].start 168.93284375
transcript.pyannote[50].end 170.85659375
transcript.pyannote[51].speaker SPEAKER_05
transcript.pyannote[51].start 171.48096875
transcript.pyannote[51].end 173.03346875
transcript.pyannote[52].speaker SPEAKER_05
transcript.pyannote[52].start 173.40471875
transcript.pyannote[52].end 175.10909375
transcript.pyannote[53].speaker SPEAKER_05
transcript.pyannote[53].start 175.61534375
transcript.pyannote[53].end 180.12096875
transcript.pyannote[54].speaker SPEAKER_05
transcript.pyannote[54].start 180.72846875
transcript.pyannote[54].end 183.52971875
transcript.pyannote[55].speaker SPEAKER_05
transcript.pyannote[55].start 183.79971875
transcript.pyannote[55].end 185.55471875
transcript.pyannote[56].speaker SPEAKER_05
transcript.pyannote[56].start 187.36034375
transcript.pyannote[56].end 188.64284375
transcript.pyannote[57].speaker SPEAKER_05
transcript.pyannote[57].start 188.99721875
transcript.pyannote[57].end 189.40221875
transcript.pyannote[58].speaker SPEAKER_05
transcript.pyannote[58].start 190.17846875
transcript.pyannote[58].end 191.00534375
transcript.pyannote[59].speaker SPEAKER_05
transcript.pyannote[59].start 194.43096875
transcript.pyannote[59].end 194.97096875
transcript.pyannote[60].speaker SPEAKER_05
transcript.pyannote[60].start 195.61221875
transcript.pyannote[60].end 196.72596875
transcript.pyannote[61].speaker SPEAKER_05
transcript.pyannote[61].start 197.01284375
transcript.pyannote[61].end 201.63659375
transcript.pyannote[62].speaker SPEAKER_05
transcript.pyannote[62].start 202.10909375
transcript.pyannote[62].end 205.55159375
transcript.pyannote[63].speaker SPEAKER_05
transcript.pyannote[63].start 205.80471875
transcript.pyannote[63].end 208.80846875
transcript.pyannote[64].speaker SPEAKER_05
transcript.pyannote[64].start 209.34846875
transcript.pyannote[64].end 211.98096875
transcript.pyannote[65].speaker SPEAKER_05
transcript.pyannote[65].start 212.28471875
transcript.pyannote[65].end 216.97596875
transcript.pyannote[66].speaker SPEAKER_05
transcript.pyannote[66].start 217.21221875
transcript.pyannote[66].end 219.18659375
transcript.pyannote[67].speaker SPEAKER_05
transcript.pyannote[67].start 219.64221875
transcript.pyannote[67].end 223.28721875
transcript.pyannote[68].speaker SPEAKER_05
transcript.pyannote[68].start 223.97909375
transcript.pyannote[68].end 228.41721875
transcript.pyannote[69].speaker SPEAKER_05
transcript.pyannote[69].start 228.70409375
transcript.pyannote[69].end 229.02471875
transcript.pyannote[70].speaker SPEAKER_05
transcript.pyannote[70].start 229.46346875
transcript.pyannote[70].end 231.91034375
transcript.pyannote[71].speaker SPEAKER_05
transcript.pyannote[71].start 233.22659375
transcript.pyannote[71].end 233.24346875
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 233.24346875
transcript.pyannote[72].end 236.77034375
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 237.12471875
transcript.pyannote[73].end 240.95534375
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 241.54596875
transcript.pyannote[74].end 245.49471875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 245.98409375
transcript.pyannote[75].end 250.60784375
transcript.pyannote[76].speaker SPEAKER_03
transcript.pyannote[76].start 250.82721875
transcript.pyannote[76].end 252.39659375
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 252.63284375
transcript.pyannote[77].end 256.27784375
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 256.41284375
transcript.pyannote[78].end 256.88534375
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 258.03284375
transcript.pyannote[79].end 260.73284375
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 261.05346875
transcript.pyannote[80].end 264.10784375
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 264.39471875
transcript.pyannote[81].end 265.49159375
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 265.67721875
transcript.pyannote[82].end 268.20846875
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 268.71471875
transcript.pyannote[83].end 277.20284375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 276.03846875
transcript.pyannote[84].end 276.27471875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 277.20284375
transcript.pyannote[85].end 280.88159375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 281.25284375
transcript.pyannote[86].end 284.44221875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 284.96534375
transcript.pyannote[87].end 290.33159375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 290.70284375
transcript.pyannote[88].end 292.42409375
transcript.pyannote[89].speaker SPEAKER_05
transcript.pyannote[89].start 290.71971875
transcript.pyannote[89].end 292.37346875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 292.87971875
transcript.pyannote[90].end 293.09909375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 293.67284375
transcript.pyannote[91].end 296.22096875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 296.65971875
transcript.pyannote[92].end 297.92534375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 298.46534375
transcript.pyannote[93].end 304.08471875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 304.42221875
transcript.pyannote[94].end 306.46409375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 306.68346875
transcript.pyannote[95].end 309.14721875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 309.45096875
transcript.pyannote[96].end 313.50096875
transcript.pyannote[97].speaker SPEAKER_05
transcript.pyannote[97].start 312.92721875
transcript.pyannote[97].end 317.65221875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 318.52971875
transcript.pyannote[98].end 322.52909375
transcript.pyannote[99].speaker SPEAKER_05
transcript.pyannote[99].start 319.25534375
transcript.pyannote[99].end 321.41534375
transcript.pyannote[100].speaker SPEAKER_05
transcript.pyannote[100].start 322.52909375
transcript.pyannote[100].end 336.97409375
transcript.pyannote[101].speaker SPEAKER_05
transcript.pyannote[101].start 337.54784375
transcript.pyannote[101].end 340.14659375
transcript.pyannote[102].speaker SPEAKER_05
transcript.pyannote[102].start 340.28159375
transcript.pyannote[102].end 342.07034375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 341.63159375
transcript.pyannote[103].end 347.04846875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 347.06534375
transcript.pyannote[104].end 360.88596875
transcript.pyannote[105].speaker SPEAKER_05
transcript.pyannote[105].start 347.14971875
transcript.pyannote[105].end 350.25471875
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 356.75159375
transcript.pyannote[106].end 357.42659375
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 360.46409375
transcript.pyannote[107].end 364.88534375
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 365.44221875
transcript.pyannote[108].end 367.21409375
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 367.41659375
transcript.pyannote[109].end 371.16284375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 371.65221875
transcript.pyannote[110].end 393.18471875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 394.51784375
transcript.pyannote[111].end 405.04784375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 405.38534375
transcript.pyannote[112].end 406.44846875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 406.92096875
transcript.pyannote[113].end 408.00096875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 408.55784375
transcript.pyannote[114].end 428.31846875
transcript.pyannote[115].speaker SPEAKER_05
transcript.pyannote[115].start 410.05971875
transcript.pyannote[115].end 411.98346875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 428.58846875
transcript.pyannote[116].end 436.70534375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 436.94159375
transcript.pyannote[117].end 445.04159375
transcript.pyannote[118].speaker SPEAKER_05
transcript.pyannote[118].start 444.06284375
transcript.pyannote[118].end 480.49596875
transcript.pyannote[119].speaker SPEAKER_05
transcript.pyannote[119].start 480.68159375
transcript.pyannote[119].end 490.73909375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 492.54471875
transcript.pyannote[120].end 498.78846875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 499.22721875
transcript.pyannote[121].end 501.52221875
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 501.64034375
transcript.pyannote[122].end 503.44596875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 503.64846875
transcript.pyannote[123].end 506.80409375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 507.25971875
transcript.pyannote[124].end 508.69409375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 508.94721875
transcript.pyannote[125].end 510.24659375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 510.66846875
transcript.pyannote[126].end 515.17409375
transcript.pyannote[127].speaker SPEAKER_05
transcript.pyannote[127].start 514.19534375
transcript.pyannote[127].end 518.19471875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 517.62096875
transcript.pyannote[128].end 517.92471875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 518.19471875
transcript.pyannote[129].end 521.58659375
transcript.pyannote[130].speaker SPEAKER_05
transcript.pyannote[130].start 518.21159375
transcript.pyannote[130].end 518.24534375
transcript.pyannote[131].speaker SPEAKER_05
transcript.pyannote[131].start 519.30846875
transcript.pyannote[131].end 519.69659375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 521.65409375
transcript.pyannote[132].end 528.89346875
transcript.pyannote[133].speaker SPEAKER_05
transcript.pyannote[133].start 528.18471875
transcript.pyannote[133].end 538.95096875
transcript.pyannote[134].speaker SPEAKER_05
transcript.pyannote[134].start 539.76096875
transcript.pyannote[134].end 542.03909375
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 542.03909375
transcript.pyannote[135].end 542.35971875
transcript.pyannote[136].speaker SPEAKER_05
transcript.pyannote[136].start 542.35971875
transcript.pyannote[136].end 542.41034375
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 542.41034375
transcript.pyannote[137].end 542.46096875
transcript.pyannote[138].speaker SPEAKER_05
transcript.pyannote[138].start 542.46096875
transcript.pyannote[138].end 542.47784375
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 542.47784375
transcript.pyannote[139].end 542.49471875
transcript.pyannote[140].speaker SPEAKER_05
transcript.pyannote[140].start 542.49471875
transcript.pyannote[140].end 542.64659375
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 542.64659375
transcript.pyannote[141].end 554.96534375
transcript.pyannote[142].speaker SPEAKER_05
transcript.pyannote[142].start 554.96534375
transcript.pyannote[142].end 565.37721875
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 565.95096875
transcript.pyannote[143].end 566.94659375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 567.55409375
transcript.pyannote[144].end 570.94596875
transcript.pyannote[145].speaker SPEAKER_05
transcript.pyannote[145].start 571.51971875
transcript.pyannote[145].end 573.78096875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 574.25346875
transcript.pyannote[146].end 578.89409375
transcript.pyannote[147].speaker SPEAKER_05
transcript.pyannote[147].start 576.85221875
transcript.pyannote[147].end 580.42971875
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 578.89409375
transcript.pyannote[148].end 578.91096875
transcript.pyannote[149].speaker SPEAKER_05
transcript.pyannote[149].start 580.64909375
transcript.pyannote[149].end 583.80471875
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 582.64034375
transcript.pyannote[150].end 590.31846875
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 590.70659375
transcript.pyannote[151].end 591.34784375
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 591.90471875
transcript.pyannote[152].end 604.93221875
transcript.pyannote[153].speaker SPEAKER_05
transcript.pyannote[153].start 601.03409375
transcript.pyannote[153].end 601.20284375
transcript.pyannote[154].speaker SPEAKER_05
transcript.pyannote[154].start 602.19846875
transcript.pyannote[154].end 602.35034375
transcript.pyannote[155].speaker SPEAKER_05
transcript.pyannote[155].start 605.13471875
transcript.pyannote[155].end 610.92284375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 612.07034375
transcript.pyannote[156].end 617.36909375
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 617.47034375
transcript.pyannote[157].end 619.49534375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 619.51221875
transcript.pyannote[158].end 622.71846875
transcript.pyannote[159].speaker SPEAKER_05
transcript.pyannote[159].start 622.27971875
transcript.pyannote[159].end 641.73659375
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 641.95596875
transcript.pyannote[160].end 642.22596875
transcript.pyannote[161].speaker SPEAKER_05
transcript.pyannote[161].start 642.22596875
transcript.pyannote[161].end 643.03596875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 642.24284375
transcript.pyannote[162].end 642.49596875
transcript.pyannote[163].speaker SPEAKER_05
transcript.pyannote[163].start 644.21721875
transcript.pyannote[163].end 645.36471875
transcript.pyannote[164].speaker SPEAKER_05
transcript.pyannote[164].start 646.42784375
transcript.pyannote[164].end 649.49909375
transcript.pyannote[165].speaker SPEAKER_05
transcript.pyannote[165].start 649.92096875
transcript.pyannote[165].end 652.99221875
transcript.pyannote[166].speaker SPEAKER_05
transcript.pyannote[166].start 653.39721875
transcript.pyannote[166].end 655.03409375
transcript.pyannote[167].speaker SPEAKER_05
transcript.pyannote[167].start 655.84409375
transcript.pyannote[167].end 660.21471875
transcript.pyannote[168].speaker SPEAKER_05
transcript.pyannote[168].start 661.07534375
transcript.pyannote[168].end 662.83034375
transcript.pyannote[169].speaker SPEAKER_05
transcript.pyannote[169].start 663.10034375
transcript.pyannote[169].end 664.18034375
transcript.pyannote[170].speaker SPEAKER_05
transcript.pyannote[170].start 664.68659375
transcript.pyannote[170].end 670.66034375
transcript.pyannote[171].speaker SPEAKER_05
transcript.pyannote[171].start 671.20034375
transcript.pyannote[171].end 673.59659375
transcript.pyannote[172].speaker SPEAKER_05
transcript.pyannote[172].start 674.54159375
transcript.pyannote[172].end 675.50346875
transcript.pyannote[173].speaker SPEAKER_05
transcript.pyannote[173].start 675.85784375
transcript.pyannote[173].end 678.62534375
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 679.40159375
transcript.pyannote[174].end 679.65471875
transcript.pyannote[175].speaker SPEAKER_05
transcript.pyannote[175].start 680.41409375
transcript.pyannote[175].end 681.83159375
transcript.pyannote[176].speaker SPEAKER_05
transcript.pyannote[176].start 682.79346875
transcript.pyannote[176].end 684.76784375
transcript.pyannote[177].speaker SPEAKER_03
transcript.pyannote[177].start 683.60346875
transcript.pyannote[177].end 683.78909375
transcript.pyannote[178].speaker SPEAKER_05
transcript.pyannote[178].start 684.98721875
transcript.pyannote[178].end 685.29096875
transcript.pyannote[179].speaker SPEAKER_05
transcript.pyannote[179].start 685.61159375
transcript.pyannote[179].end 688.46346875
transcript.pyannote[180].speaker SPEAKER_05
transcript.pyannote[180].start 688.58159375
transcript.pyannote[180].end 690.18471875
transcript.pyannote[181].speaker SPEAKER_05
transcript.pyannote[181].start 690.70784375
transcript.pyannote[181].end 694.48784375
transcript.pyannote[182].speaker SPEAKER_05
transcript.pyannote[182].start 694.87596875
transcript.pyannote[182].end 699.90471875
transcript.pyannote[183].speaker SPEAKER_05
transcript.pyannote[183].start 700.54596875
transcript.pyannote[183].end 701.45721875
transcript.pyannote[184].speaker SPEAKER_05
transcript.pyannote[184].start 701.92971875
transcript.pyannote[184].end 704.17409375
transcript.pyannote[185].speaker SPEAKER_05
transcript.pyannote[185].start 704.73096875
transcript.pyannote[185].end 707.51534375
transcript.pyannote[186].speaker SPEAKER_05
transcript.pyannote[186].start 707.95409375
transcript.pyannote[186].end 708.73034375
transcript.pyannote[187].speaker SPEAKER_05
transcript.pyannote[187].start 709.13534375
transcript.pyannote[187].end 711.63284375
transcript.pyannote[188].speaker SPEAKER_05
transcript.pyannote[188].start 712.44284375
transcript.pyannote[188].end 713.77596875
transcript.pyannote[189].speaker SPEAKER_05
transcript.pyannote[189].start 714.01221875
transcript.pyannote[189].end 715.21034375
transcript.pyannote[190].speaker SPEAKER_05
transcript.pyannote[190].start 715.34534375
transcript.pyannote[190].end 716.40846875
transcript.pyannote[191].speaker SPEAKER_05
transcript.pyannote[191].start 717.20159375
transcript.pyannote[191].end 718.90596875
transcript.pyannote[192].speaker SPEAKER_05
transcript.pyannote[192].start 719.32784375
transcript.pyannote[192].end 722.46659375
transcript.pyannote[193].speaker SPEAKER_05
transcript.pyannote[193].start 722.60159375
transcript.pyannote[193].end 726.02721875
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 726.02721875
transcript.pyannote[194].end 726.28034375
transcript.pyannote[195].speaker SPEAKER_05
transcript.pyannote[195].start 726.70221875
transcript.pyannote[195].end 726.71909375
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 726.71909375
transcript.pyannote[196].end 727.95096875
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 728.28846875
transcript.pyannote[197].end 728.99721875
transcript.pyannote[198].speaker SPEAKER_03
transcript.pyannote[198].start 729.45284375
transcript.pyannote[198].end 731.17409375
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 731.78159375
transcript.pyannote[199].end 744.92721875
transcript.pyannote[200].speaker SPEAKER_05
transcript.pyannote[200].start 741.31596875
transcript.pyannote[200].end 742.68284375
transcript.pyannote[201].speaker SPEAKER_05
transcript.pyannote[201].start 743.42534375
transcript.pyannote[201].end 751.91346875
transcript.pyannote[202].speaker SPEAKER_05
transcript.pyannote[202].start 752.08221875
transcript.pyannote[202].end 753.39846875
transcript.pyannote[203].speaker SPEAKER_05
transcript.pyannote[203].start 753.78659375
transcript.pyannote[203].end 755.47409375
transcript.pyannote[204].speaker SPEAKER_05
transcript.pyannote[204].start 756.11534375
transcript.pyannote[204].end 757.07721875
transcript.pyannote[205].speaker SPEAKER_03
transcript.pyannote[205].start 757.07721875
transcript.pyannote[205].end 757.09409375
transcript.pyannote[206].speaker SPEAKER_05
transcript.pyannote[206].start 757.49909375
transcript.pyannote[206].end 757.53284375
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 757.53284375
transcript.pyannote[207].end 761.48159375
transcript.pyannote[208].speaker SPEAKER_03
transcript.pyannote[208].start 761.73471875
transcript.pyannote[208].end 764.55284375
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 764.78909375
transcript.pyannote[209].end 768.11346875
transcript.pyannote[210].speaker SPEAKER_03
transcript.pyannote[210].start 768.60284375
transcript.pyannote[210].end 773.53034375
transcript.pyannote[211].speaker SPEAKER_05
transcript.pyannote[211].start 770.69534375
transcript.pyannote[211].end 776.23034375
transcript.pyannote[212].speaker SPEAKER_05
transcript.pyannote[212].start 776.75346875
transcript.pyannote[212].end 780.55034375
transcript.pyannote[213].speaker SPEAKER_05
transcript.pyannote[213].start 781.12409375
transcript.pyannote[213].end 783.48659375
transcript.pyannote[214].speaker SPEAKER_05
transcript.pyannote[214].start 783.97596875
transcript.pyannote[214].end 785.89971875
transcript.pyannote[215].speaker SPEAKER_05
transcript.pyannote[215].start 786.60846875
transcript.pyannote[215].end 787.03034375
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 787.03034375
transcript.pyannote[216].end 798.31971875
transcript.pyannote[217].speaker SPEAKER_05
transcript.pyannote[217].start 793.42596875
transcript.pyannote[217].end 794.80971875
transcript.pyannote[218].speaker SPEAKER_05
transcript.pyannote[218].start 798.60659375
transcript.pyannote[218].end 799.23096875
transcript.pyannote[219].speaker SPEAKER_03
transcript.pyannote[219].start 799.55159375
transcript.pyannote[219].end 800.63159375
transcript.pyannote[220].speaker SPEAKER_03
transcript.pyannote[220].start 800.95221875
transcript.pyannote[220].end 800.96909375
transcript.pyannote[221].speaker SPEAKER_05
transcript.pyannote[221].start 800.96909375
transcript.pyannote[221].end 801.94784375
transcript.pyannote[222].speaker SPEAKER_03
transcript.pyannote[222].start 802.26846875
transcript.pyannote[222].end 802.97721875
transcript.pyannote[223].speaker SPEAKER_05
transcript.pyannote[223].start 802.97721875
transcript.pyannote[223].end 804.66471875
transcript.pyannote[224].speaker SPEAKER_03
transcript.pyannote[224].start 803.85471875
transcript.pyannote[224].end 806.04846875
transcript.pyannote[225].speaker SPEAKER_03
transcript.pyannote[225].start 806.25096875
transcript.pyannote[225].end 810.72284375
transcript.pyannote[226].speaker SPEAKER_05
transcript.pyannote[226].start 810.99284375
transcript.pyannote[226].end 815.81909375
transcript.pyannote[227].speaker SPEAKER_05
transcript.pyannote[227].start 816.39284375
transcript.pyannote[227].end 821.11784375
transcript.pyannote[228].speaker SPEAKER_04
transcript.pyannote[228].start 817.74284375
transcript.pyannote[228].end 819.68346875
transcript.pyannote[229].speaker SPEAKER_04
transcript.pyannote[229].start 820.52721875
transcript.pyannote[229].end 833.04846875
transcript.pyannote[230].speaker SPEAKER_05
transcript.pyannote[230].start 833.04846875
transcript.pyannote[230].end 833.06534375
transcript.pyannote[231].speaker SPEAKER_05
transcript.pyannote[231].start 833.55471875
transcript.pyannote[231].end 836.69346875
transcript.pyannote[232].speaker SPEAKER_05
transcript.pyannote[232].start 837.18284375
transcript.pyannote[232].end 840.13596875
transcript.pyannote[233].speaker SPEAKER_05
transcript.pyannote[233].start 840.32159375
transcript.pyannote[233].end 842.97096875
transcript.pyannote[234].speaker SPEAKER_05
transcript.pyannote[234].start 843.25784375
transcript.pyannote[234].end 845.18159375
transcript.pyannote[235].speaker SPEAKER_05
transcript.pyannote[235].start 845.50221875
transcript.pyannote[235].end 847.54409375
transcript.pyannote[236].speaker SPEAKER_05
transcript.pyannote[236].start 847.67909375
transcript.pyannote[236].end 849.31596875
transcript.pyannote[237].speaker SPEAKER_05
transcript.pyannote[237].start 849.55221875
transcript.pyannote[237].end 850.17659375
transcript.pyannote[238].speaker SPEAKER_05
transcript.pyannote[238].start 850.31159375
transcript.pyannote[238].end 852.35346875
transcript.pyannote[239].speaker SPEAKER_03
transcript.pyannote[239].start 852.97784375
transcript.pyannote[239].end 853.53471875
transcript.pyannote[240].speaker SPEAKER_03
transcript.pyannote[240].start 854.09159375
transcript.pyannote[240].end 858.93471875
transcript.pyannote[241].speaker SPEAKER_03
transcript.pyannote[241].start 859.20471875
transcript.pyannote[241].end 861.55034375
transcript.pyannote[242].speaker SPEAKER_03
transcript.pyannote[242].start 861.76971875
transcript.pyannote[242].end 870.13971875
transcript.pyannote[243].speaker SPEAKER_04
transcript.pyannote[243].start 869.17784375
transcript.pyannote[243].end 886.64346875
transcript.pyannote[244].speaker SPEAKER_04
transcript.pyannote[244].start 887.30159375
transcript.pyannote[244].end 887.33534375
transcript.pyannote[245].speaker SPEAKER_05
transcript.pyannote[245].start 887.33534375
transcript.pyannote[245].end 895.38471875
transcript.pyannote[246].speaker SPEAKER_05
transcript.pyannote[246].start 896.71784375
transcript.pyannote[246].end 905.23971875
transcript.pyannote[247].speaker SPEAKER_05
transcript.pyannote[247].start 905.66159375
transcript.pyannote[247].end 909.82971875
transcript.pyannote[248].speaker SPEAKER_05
transcript.pyannote[248].start 910.72409375
transcript.pyannote[248].end 911.58471875
transcript.pyannote[249].speaker SPEAKER_05
transcript.pyannote[249].start 911.92221875
transcript.pyannote[249].end 912.24284375
transcript.pyannote[250].speaker SPEAKER_05
transcript.pyannote[250].start 912.61409375
transcript.pyannote[250].end 914.08221875
transcript.pyannote[251].speaker SPEAKER_05
transcript.pyannote[251].start 914.65596875
transcript.pyannote[251].end 915.36471875
transcript.pyannote[252].speaker SPEAKER_05
transcript.pyannote[252].start 915.98909375
transcript.pyannote[252].end 916.95096875
transcript.pyannote[253].speaker SPEAKER_05
transcript.pyannote[253].start 917.17034375
transcript.pyannote[253].end 918.04784375
transcript.pyannote[254].speaker SPEAKER_05
transcript.pyannote[254].start 918.48659375
transcript.pyannote[254].end 921.84471875
transcript.pyannote[255].speaker SPEAKER_05
transcript.pyannote[255].start 921.99659375
transcript.pyannote[255].end 923.49846875
transcript.pyannote[256].speaker SPEAKER_05
transcript.pyannote[256].start 923.92034375
transcript.pyannote[256].end 927.22784375
transcript.pyannote[257].speaker SPEAKER_05
transcript.pyannote[257].start 927.75096875
transcript.pyannote[257].end 928.91534375
transcript.pyannote[258].speaker SPEAKER_05
transcript.pyannote[258].start 929.38784375
transcript.pyannote[258].end 930.85596875
transcript.pyannote[259].speaker SPEAKER_05
transcript.pyannote[259].start 931.34534375
transcript.pyannote[259].end 932.96534375
transcript.pyannote[260].speaker SPEAKER_04
transcript.pyannote[260].start 932.96534375
transcript.pyannote[260].end 946.33034375
transcript.pyannote[261].speaker SPEAKER_04
transcript.pyannote[261].start 946.85346875
transcript.pyannote[261].end 948.62534375
transcript.pyannote[262].speaker SPEAKER_05
transcript.pyannote[262].start 947.05596875
transcript.pyannote[262].end 949.77284375
transcript.pyannote[263].speaker SPEAKER_05
transcript.pyannote[263].start 950.29596875
transcript.pyannote[263].end 950.81909375
transcript.pyannote[264].speaker SPEAKER_05
transcript.pyannote[264].start 951.27471875
transcript.pyannote[264].end 955.96596875
transcript.pyannote[265].speaker SPEAKER_04
transcript.pyannote[265].start 955.96596875
transcript.pyannote[265].end 956.38784375
transcript.pyannote[266].speaker SPEAKER_04
transcript.pyannote[266].start 957.06284375
transcript.pyannote[266].end 965.83784375
transcript.pyannote[267].speaker SPEAKER_05
transcript.pyannote[267].start 964.72409375
transcript.pyannote[267].end 977.43096875
transcript.pyannote[268].speaker SPEAKER_04
transcript.pyannote[268].start 966.02346875
transcript.pyannote[268].end 966.88409375
transcript.pyannote[269].speaker SPEAKER_04
transcript.pyannote[269].start 967.37346875
transcript.pyannote[269].end 967.66034375
transcript.pyannote[270].speaker SPEAKER_04
transcript.pyannote[270].start 975.28784375
transcript.pyannote[270].end 983.47221875
transcript.pyannote[271].speaker SPEAKER_05
transcript.pyannote[271].start 981.32909375
transcript.pyannote[271].end 983.03346875
transcript.pyannote[272].speaker SPEAKER_05
transcript.pyannote[272].start 983.47221875
transcript.pyannote[272].end 985.29471875
transcript.pyannote[273].speaker SPEAKER_04
transcript.pyannote[273].start 983.50596875
transcript.pyannote[273].end 984.09659375
transcript.pyannote[274].speaker SPEAKER_04
transcript.pyannote[274].start 985.29471875
transcript.pyannote[274].end 985.44659375
transcript.pyannote[275].speaker SPEAKER_04
transcript.pyannote[275].start 985.54784375
transcript.pyannote[275].end 987.45471875
transcript.pyannote[276].speaker SPEAKER_04
transcript.pyannote[276].start 987.69096875
transcript.pyannote[276].end 987.91034375
transcript.pyannote[277].speaker SPEAKER_04
transcript.pyannote[277].start 988.11284375
transcript.pyannote[277].end 996.90471875
transcript.pyannote[278].speaker SPEAKER_05
transcript.pyannote[278].start 991.15034375
transcript.pyannote[278].end 991.97721875
transcript.pyannote[279].speaker SPEAKER_05
transcript.pyannote[279].start 996.90471875
transcript.pyannote[279].end 997.88346875
transcript.pyannote[280].speaker SPEAKER_04
transcript.pyannote[280].start 996.92159375
transcript.pyannote[280].end 997.81596875
transcript.pyannote[281].speaker SPEAKER_04
transcript.pyannote[281].start 997.88346875
transcript.pyannote[281].end 998.03534375
transcript.pyannote[282].speaker SPEAKER_05
transcript.pyannote[282].start 998.03534375
transcript.pyannote[282].end 1001.56221875
transcript.pyannote[283].speaker SPEAKER_05
transcript.pyannote[283].start 1001.68034375
transcript.pyannote[283].end 1004.76846875
transcript.pyannote[284].speaker SPEAKER_05
transcript.pyannote[284].start 1004.97096875
transcript.pyannote[284].end 1008.19409375
transcript.pyannote[285].speaker SPEAKER_04
transcript.pyannote[285].start 1008.19409375
transcript.pyannote[285].end 1014.33659375
transcript.pyannote[286].speaker SPEAKER_05
transcript.pyannote[286].start 1008.21096875
transcript.pyannote[286].end 1009.32471875
transcript.pyannote[287].speaker SPEAKER_05
transcript.pyannote[287].start 1013.44221875
transcript.pyannote[287].end 1022.99346875
transcript.pyannote[288].speaker SPEAKER_05
transcript.pyannote[288].start 1023.43221875
transcript.pyannote[288].end 1023.80346875
transcript.pyannote[289].speaker SPEAKER_05
transcript.pyannote[289].start 1023.83721875
transcript.pyannote[289].end 1026.94221875
transcript.pyannote[290].speaker SPEAKER_05
transcript.pyannote[290].start 1027.43159375
transcript.pyannote[290].end 1029.49034375
transcript.pyannote[291].speaker SPEAKER_05
transcript.pyannote[291].start 1029.97971875
transcript.pyannote[291].end 1033.05096875
transcript.pyannote[292].speaker SPEAKER_05
transcript.pyannote[292].start 1033.37159375
transcript.pyannote[292].end 1035.04221875
transcript.pyannote[293].speaker SPEAKER_05
transcript.pyannote[293].start 1035.44721875
transcript.pyannote[293].end 1043.71596875
transcript.pyannote[294].speaker SPEAKER_05
transcript.pyannote[294].start 1044.67784375
transcript.pyannote[294].end 1045.87596875
transcript.pyannote[295].speaker SPEAKER_03
transcript.pyannote[295].start 1045.87596875
transcript.pyannote[295].end 1045.89284375
transcript.pyannote[296].speaker SPEAKER_05
transcript.pyannote[296].start 1046.41596875
transcript.pyannote[296].end 1046.43284375
transcript.pyannote[297].speaker SPEAKER_03
transcript.pyannote[297].start 1046.43284375
transcript.pyannote[297].end 1056.13596875
transcript.pyannote[298].speaker SPEAKER_03
transcript.pyannote[298].start 1056.28784375
transcript.pyannote[298].end 1064.13471875
transcript.pyannote[299].speaker SPEAKER_03
transcript.pyannote[299].start 1064.35409375
transcript.pyannote[299].end 1079.18721875
transcript.pyannote[300].speaker SPEAKER_05
transcript.pyannote[300].start 1065.02909375
transcript.pyannote[300].end 1065.46784375
transcript.pyannote[301].speaker SPEAKER_05
transcript.pyannote[301].start 1078.71471875
transcript.pyannote[301].end 1083.16971875
transcript.pyannote[302].speaker SPEAKER_03
transcript.pyannote[302].start 1082.98409375
transcript.pyannote[302].end 1083.70971875
transcript.pyannote[303].speaker SPEAKER_05
transcript.pyannote[303].start 1083.70971875
transcript.pyannote[303].end 1085.85284375
transcript.pyannote[304].speaker SPEAKER_05
transcript.pyannote[304].start 1086.29159375
transcript.pyannote[304].end 1088.26596875
transcript.pyannote[305].speaker SPEAKER_05
transcript.pyannote[305].start 1088.46846875
transcript.pyannote[305].end 1089.44721875
transcript.pyannote[306].speaker SPEAKER_05
transcript.pyannote[306].start 1089.90284375
transcript.pyannote[306].end 1092.43409375
transcript.pyannote[307].speaker SPEAKER_05
transcript.pyannote[307].start 1092.72096875
transcript.pyannote[307].end 1093.78409375
transcript.pyannote[308].speaker SPEAKER_05
transcript.pyannote[308].start 1094.50971875
transcript.pyannote[308].end 1094.96534375
transcript.pyannote[309].speaker SPEAKER_03
transcript.pyannote[309].start 1094.96534375
transcript.pyannote[309].end 1094.98221875
transcript.pyannote[310].speaker SPEAKER_05
transcript.pyannote[310].start 1094.98221875
transcript.pyannote[310].end 1094.99909375
transcript.pyannote[311].speaker SPEAKER_05
transcript.pyannote[311].start 1095.40409375
transcript.pyannote[311].end 1096.73721875
transcript.pyannote[312].speaker SPEAKER_03
transcript.pyannote[312].start 1095.50534375
transcript.pyannote[312].end 1096.80471875
transcript.pyannote[313].speaker SPEAKER_05
transcript.pyannote[313].start 1096.80471875
transcript.pyannote[313].end 1096.85534375
transcript.pyannote[314].speaker SPEAKER_03
transcript.pyannote[314].start 1096.85534375
transcript.pyannote[314].end 1096.93971875
transcript.pyannote[315].speaker SPEAKER_03
transcript.pyannote[315].start 1097.15909375
transcript.pyannote[315].end 1105.25909375
transcript.pyannote[316].speaker SPEAKER_05
transcript.pyannote[316].start 1103.40284375
transcript.pyannote[316].end 1120.19346875
transcript.pyannote[317].speaker SPEAKER_03
transcript.pyannote[317].start 1108.85346875
transcript.pyannote[317].end 1110.99659375
transcript.pyannote[318].speaker SPEAKER_05
transcript.pyannote[318].start 1120.64909375
transcript.pyannote[318].end 1120.98659375
transcript.pyannote[319].speaker SPEAKER_05
transcript.pyannote[319].start 1121.49284375
transcript.pyannote[319].end 1125.05346875
transcript.pyannote[320].speaker SPEAKER_05
transcript.pyannote[320].start 1125.61034375
transcript.pyannote[320].end 1125.64409375
transcript.pyannote[321].speaker SPEAKER_03
transcript.pyannote[321].start 1125.64409375
transcript.pyannote[321].end 1126.30221875
transcript.pyannote[322].speaker SPEAKER_04
transcript.pyannote[322].start 1126.72409375
transcript.pyannote[322].end 1127.06159375
transcript.pyannote[323].speaker SPEAKER_03
transcript.pyannote[323].start 1126.87596875
transcript.pyannote[323].end 1129.15409375
transcript.pyannote[324].speaker SPEAKER_03
transcript.pyannote[324].start 1129.87971875
transcript.pyannote[324].end 1132.09034375
transcript.pyannote[325].speaker SPEAKER_03
transcript.pyannote[325].start 1132.27596875
transcript.pyannote[325].end 1132.76534375
transcript.pyannote[326].speaker SPEAKER_03
transcript.pyannote[326].start 1133.89596875
transcript.pyannote[326].end 1135.06034375
transcript.pyannote[327].speaker SPEAKER_03
transcript.pyannote[327].start 1135.63409375
transcript.pyannote[327].end 1138.38471875
transcript.pyannote[328].speaker SPEAKER_03
transcript.pyannote[328].start 1138.89096875
transcript.pyannote[328].end 1141.52346875
transcript.pyannote[329].speaker SPEAKER_05
transcript.pyannote[329].start 1141.94534375
transcript.pyannote[329].end 1151.46284375
transcript.pyannote[330].speaker SPEAKER_05
transcript.pyannote[330].start 1151.71596875
transcript.pyannote[330].end 1152.28971875
transcript.pyannote[331].speaker SPEAKER_05
transcript.pyannote[331].start 1152.76221875
transcript.pyannote[331].end 1166.26221875
transcript.pyannote[332].speaker SPEAKER_05
transcript.pyannote[332].start 1166.51534375
transcript.pyannote[332].end 1171.93221875
transcript.pyannote[333].speaker SPEAKER_03
transcript.pyannote[333].start 1172.25284375
transcript.pyannote[333].end 1177.39971875
transcript.pyannote[334].speaker SPEAKER_03
transcript.pyannote[334].start 1177.75409375
transcript.pyannote[334].end 1185.31409375
transcript.pyannote[335].speaker SPEAKER_05
transcript.pyannote[335].start 1185.70221875
transcript.pyannote[335].end 1185.90471875
transcript.pyannote[336].speaker SPEAKER_05
transcript.pyannote[336].start 1186.39409375
transcript.pyannote[336].end 1187.33909375
transcript.pyannote[337].speaker SPEAKER_05
transcript.pyannote[337].start 1187.57534375
transcript.pyannote[337].end 1187.72721875
transcript.pyannote[338].speaker SPEAKER_05
transcript.pyannote[338].start 1188.45284375
transcript.pyannote[338].end 1191.16971875
transcript.pyannote[339].speaker SPEAKER_05
transcript.pyannote[339].start 1192.06409375
transcript.pyannote[339].end 1198.84784375
transcript.pyannote[340].speaker SPEAKER_05
transcript.pyannote[340].start 1199.10096875
transcript.pyannote[340].end 1202.13846875
transcript.pyannote[341].speaker SPEAKER_05
transcript.pyannote[341].start 1202.25659375
transcript.pyannote[341].end 1203.58971875
transcript.pyannote[342].speaker SPEAKER_05
transcript.pyannote[342].start 1204.11284375
transcript.pyannote[342].end 1205.64846875
transcript.pyannote[343].speaker SPEAKER_05
transcript.pyannote[343].start 1206.20534375
transcript.pyannote[343].end 1208.68596875
transcript.pyannote[344].speaker SPEAKER_05
transcript.pyannote[344].start 1209.04034375
transcript.pyannote[344].end 1210.03596875
transcript.pyannote[345].speaker SPEAKER_05
transcript.pyannote[345].start 1210.44096875
transcript.pyannote[345].end 1213.36034375
transcript.pyannote[346].speaker SPEAKER_05
transcript.pyannote[346].start 1213.59659375
transcript.pyannote[346].end 1215.53721875
transcript.pyannote[347].speaker SPEAKER_05
transcript.pyannote[347].start 1216.16159375
transcript.pyannote[347].end 1216.65096875
transcript.pyannote[348].speaker SPEAKER_05
transcript.pyannote[348].start 1216.87034375
transcript.pyannote[348].end 1227.55221875
transcript.pyannote[349].speaker SPEAKER_05
transcript.pyannote[349].start 1228.09221875
transcript.pyannote[349].end 1228.51409375
transcript.pyannote[350].speaker SPEAKER_05
transcript.pyannote[350].start 1228.98659375
transcript.pyannote[350].end 1229.94846875
transcript.pyannote[351].speaker SPEAKER_05
transcript.pyannote[351].start 1230.47159375
transcript.pyannote[351].end 1232.96909375
transcript.pyannote[352].speaker SPEAKER_04
transcript.pyannote[352].start 1232.96909375
transcript.pyannote[352].end 1233.22221875
transcript.pyannote[353].speaker SPEAKER_05
transcript.pyannote[353].start 1233.71159375
transcript.pyannote[353].end 1233.72846875
transcript.pyannote[354].speaker SPEAKER_04
transcript.pyannote[354].start 1233.72846875
transcript.pyannote[354].end 1278.80159375
transcript.pyannote[355].speaker SPEAKER_00
transcript.pyannote[355].start 1260.54284375
transcript.pyannote[355].end 1261.94346875
transcript.pyannote[356].speaker SPEAKER_05
transcript.pyannote[356].start 1278.80159375
transcript.pyannote[356].end 1282.00784375
transcript.pyannote[357].speaker SPEAKER_05
transcript.pyannote[357].start 1282.86846875
transcript.pyannote[357].end 1283.23971875
transcript.pyannote[358].speaker SPEAKER_05
transcript.pyannote[358].start 1283.88096875
transcript.pyannote[358].end 1285.77096875
transcript.pyannote[359].speaker SPEAKER_05
transcript.pyannote[359].start 1287.23909375
transcript.pyannote[359].end 1305.97034375
transcript.pyannote[360].speaker SPEAKER_04
transcript.pyannote[360].start 1305.97034375
transcript.pyannote[360].end 1306.07159375
transcript.pyannote[361].speaker SPEAKER_04
transcript.pyannote[361].start 1306.76346875
transcript.pyannote[361].end 1314.22221875
transcript.pyannote[362].speaker SPEAKER_04
transcript.pyannote[362].start 1314.89721875
transcript.pyannote[362].end 1326.08534375
transcript.pyannote[363].speaker SPEAKER_05
transcript.pyannote[363].start 1325.42721875
transcript.pyannote[363].end 1326.13596875
transcript.pyannote[364].speaker SPEAKER_04
transcript.pyannote[364].start 1326.13596875
transcript.pyannote[364].end 1328.02596875
transcript.pyannote[365].speaker SPEAKER_05
transcript.pyannote[365].start 1328.02596875
transcript.pyannote[365].end 1328.58284375
transcript.pyannote[366].speaker SPEAKER_04
transcript.pyannote[366].start 1328.58284375
transcript.pyannote[366].end 1328.65034375
transcript.pyannote[367].speaker SPEAKER_05
transcript.pyannote[367].start 1328.81909375
transcript.pyannote[367].end 1339.36596875
transcript.pyannote[368].speaker SPEAKER_04
transcript.pyannote[368].start 1328.88659375
transcript.pyannote[368].end 1329.81471875
transcript.pyannote[369].speaker SPEAKER_04
transcript.pyannote[369].start 1340.05784375
transcript.pyannote[369].end 1340.07471875
transcript.pyannote[370].speaker SPEAKER_05
transcript.pyannote[370].start 1340.07471875
transcript.pyannote[370].end 1340.61471875
transcript.pyannote[371].speaker SPEAKER_04
transcript.pyannote[371].start 1340.09159375
transcript.pyannote[371].end 1340.59784375
transcript.pyannote[372].speaker SPEAKER_04
transcript.pyannote[372].start 1340.61471875
transcript.pyannote[372].end 1344.22596875
transcript.pyannote[373].speaker SPEAKER_03
transcript.pyannote[373].start 1343.90534375
transcript.pyannote[373].end 1352.93346875
transcript.pyannote[374].speaker SPEAKER_03
transcript.pyannote[374].start 1353.52409375
transcript.pyannote[374].end 1355.12721875
transcript.pyannote[375].speaker SPEAKER_03
transcript.pyannote[375].start 1355.22846875
transcript.pyannote[375].end 1356.51096875
transcript.pyannote[376].speaker SPEAKER_03
transcript.pyannote[376].start 1357.28721875
transcript.pyannote[376].end 1365.23534375
transcript.pyannote[377].speaker SPEAKER_05
transcript.pyannote[377].start 1364.00346875
transcript.pyannote[377].end 1385.09721875
transcript.pyannote[378].speaker SPEAKER_03
transcript.pyannote[378].start 1385.97471875
transcript.pyannote[378].end 1387.88159375
transcript.pyannote[379].speaker SPEAKER_03
transcript.pyannote[379].start 1388.06721875
transcript.pyannote[379].end 1392.97784375
transcript.pyannote[380].speaker SPEAKER_04
transcript.pyannote[380].start 1392.97784375
transcript.pyannote[380].end 1397.87159375
transcript.pyannote[381].speaker SPEAKER_05
transcript.pyannote[381].start 1395.01971875
transcript.pyannote[381].end 1403.03534375
transcript.pyannote[382].speaker SPEAKER_05
transcript.pyannote[382].start 1403.35596875
transcript.pyannote[382].end 1404.67221875
transcript.pyannote[383].speaker SPEAKER_05
transcript.pyannote[383].start 1405.11096875
transcript.pyannote[383].end 1405.97159375
transcript.pyannote[384].speaker SPEAKER_05
transcript.pyannote[384].start 1406.81534375
transcript.pyannote[384].end 1407.38909375
transcript.pyannote[385].speaker SPEAKER_05
transcript.pyannote[385].start 1408.16534375
transcript.pyannote[385].end 1412.06346875
transcript.pyannote[386].speaker SPEAKER_05
transcript.pyannote[386].start 1412.73846875
transcript.pyannote[386].end 1414.00409375
transcript.pyannote[387].speaker SPEAKER_03
transcript.pyannote[387].start 1414.83096875
transcript.pyannote[387].end 1415.92784375
transcript.pyannote[388].speaker SPEAKER_03
transcript.pyannote[388].start 1416.29909375
transcript.pyannote[388].end 1417.81784375
transcript.pyannote[389].speaker SPEAKER_03
transcript.pyannote[389].start 1418.15534375
transcript.pyannote[389].end 1419.08346875
transcript.pyannote[390].speaker SPEAKER_03
transcript.pyannote[390].start 1419.58971875
transcript.pyannote[390].end 1420.70346875
transcript.pyannote[391].speaker SPEAKER_03
transcript.pyannote[391].start 1420.82159375
transcript.pyannote[391].end 1423.53846875
transcript.pyannote[392].speaker SPEAKER_05
transcript.pyannote[392].start 1421.02409375
transcript.pyannote[392].end 1421.74971875
transcript.pyannote[393].speaker SPEAKER_05
transcript.pyannote[393].start 1422.69471875
transcript.pyannote[393].end 1423.55534375
transcript.pyannote[394].speaker SPEAKER_03
transcript.pyannote[394].start 1423.55534375
transcript.pyannote[394].end 1423.57221875
transcript.pyannote[395].speaker SPEAKER_05
transcript.pyannote[395].start 1423.57221875
transcript.pyannote[395].end 1423.85909375
transcript.pyannote[396].speaker SPEAKER_03
transcript.pyannote[396].start 1423.85909375
transcript.pyannote[396].end 1429.56284375
transcript.pyannote[397].speaker SPEAKER_05
transcript.pyannote[397].start 1424.01096875
transcript.pyannote[397].end 1424.58471875
transcript.pyannote[398].speaker SPEAKER_03
transcript.pyannote[398].start 1429.86659375
transcript.pyannote[398].end 1434.45659375
transcript.pyannote[399].speaker SPEAKER_03
transcript.pyannote[399].start 1434.64221875
transcript.pyannote[399].end 1435.78971875
transcript.pyannote[400].speaker SPEAKER_05
transcript.pyannote[400].start 1434.89534375
transcript.pyannote[400].end 1443.38346875
transcript.pyannote[401].speaker SPEAKER_03
transcript.pyannote[401].start 1437.52784375
transcript.pyannote[401].end 1437.88221875
transcript.pyannote[402].speaker SPEAKER_03
transcript.pyannote[402].start 1443.45096875
transcript.pyannote[402].end 1443.83909375
transcript.pyannote[403].speaker SPEAKER_03
transcript.pyannote[403].start 1444.58159375
transcript.pyannote[403].end 1449.37409375
transcript.pyannote[404].speaker SPEAKER_05
transcript.pyannote[404].start 1448.59784375
transcript.pyannote[404].end 1450.31909375
transcript.pyannote[405].speaker SPEAKER_05
transcript.pyannote[405].start 1450.99409375
transcript.pyannote[405].end 1454.13284375
transcript.pyannote[406].speaker SPEAKER_03
transcript.pyannote[406].start 1454.21721875
transcript.pyannote[406].end 1455.63471875
transcript.pyannote[407].speaker SPEAKER_03
transcript.pyannote[407].start 1455.75284375
transcript.pyannote[407].end 1455.80346875
transcript.pyannote[408].speaker SPEAKER_05
transcript.pyannote[408].start 1455.80346875
transcript.pyannote[408].end 1460.42721875
transcript.pyannote[409].speaker SPEAKER_03
transcript.pyannote[409].start 1455.97221875
transcript.pyannote[409].end 1461.65909375
transcript.pyannote[410].speaker SPEAKER_03
transcript.pyannote[410].start 1462.28346875
transcript.pyannote[410].end 1468.86471875
transcript.pyannote[411].speaker SPEAKER_05
transcript.pyannote[411].start 1468.86471875
transcript.pyannote[411].end 1468.88159375
transcript.pyannote[412].speaker SPEAKER_03
transcript.pyannote[412].start 1468.88159375
transcript.pyannote[412].end 1468.89846875
transcript.pyannote[413].speaker SPEAKER_03
transcript.pyannote[413].start 1469.30346875
transcript.pyannote[413].end 1469.97846875
transcript.pyannote[414].speaker SPEAKER_05
transcript.pyannote[414].start 1469.97846875
transcript.pyannote[414].end 1471.88534375
transcript.pyannote[415].speaker SPEAKER_05
transcript.pyannote[415].start 1472.27346875
transcript.pyannote[415].end 1477.94346875
transcript.pyannote[416].speaker SPEAKER_05
transcript.pyannote[416].start 1478.26409375
transcript.pyannote[416].end 1480.12034375
transcript.pyannote[417].speaker SPEAKER_05
transcript.pyannote[417].start 1480.57596875
transcript.pyannote[417].end 1485.72284375
transcript.pyannote[418].speaker SPEAKER_05
transcript.pyannote[418].start 1486.19534375
transcript.pyannote[418].end 1488.16971875
transcript.pyannote[419].speaker SPEAKER_05
transcript.pyannote[419].start 1489.14846875
transcript.pyannote[419].end 1492.69221875
transcript.pyannote[420].speaker SPEAKER_05
transcript.pyannote[420].start 1493.18159375
transcript.pyannote[420].end 1493.56971875
transcript.pyannote[421].speaker SPEAKER_05
transcript.pyannote[421].start 1493.89034375
transcript.pyannote[421].end 1498.27784375
transcript.pyannote[422].speaker SPEAKER_05
transcript.pyannote[422].start 1498.44659375
transcript.pyannote[422].end 1499.66159375
transcript.pyannote[423].speaker SPEAKER_05
transcript.pyannote[423].start 1500.38721875
transcript.pyannote[423].end 1501.24784375
transcript.pyannote[424].speaker SPEAKER_05
transcript.pyannote[424].start 1502.00721875
transcript.pyannote[424].end 1503.69471875
transcript.pyannote[425].speaker SPEAKER_03
transcript.pyannote[425].start 1503.69471875
transcript.pyannote[425].end 1503.71159375
transcript.pyannote[426].speaker SPEAKER_05
transcript.pyannote[426].start 1504.43721875
transcript.pyannote[426].end 1504.72409375
transcript.pyannote[427].speaker SPEAKER_03
transcript.pyannote[427].start 1504.72409375
transcript.pyannote[427].end 1504.74096875
transcript.pyannote[428].speaker SPEAKER_05
transcript.pyannote[428].start 1504.92659375
transcript.pyannote[428].end 1505.02784375
transcript.pyannote[429].speaker SPEAKER_03
transcript.pyannote[429].start 1505.02784375
transcript.pyannote[429].end 1505.92221875
transcript.pyannote[430].speaker SPEAKER_05
transcript.pyannote[430].start 1506.68159375
transcript.pyannote[430].end 1506.69846875
transcript.pyannote[431].speaker SPEAKER_03
transcript.pyannote[431].start 1506.69846875
transcript.pyannote[431].end 1508.40284375
transcript.pyannote[432].speaker SPEAKER_03
transcript.pyannote[432].start 1508.74034375
transcript.pyannote[432].end 1512.55409375
transcript.pyannote[433].speaker SPEAKER_03
transcript.pyannote[433].start 1513.07721875
transcript.pyannote[433].end 1519.70909375
transcript.pyannote[434].speaker SPEAKER_05
transcript.pyannote[434].start 1518.86534375
transcript.pyannote[434].end 1525.42971875
transcript.pyannote[435].speaker SPEAKER_03
transcript.pyannote[435].start 1525.80096875
transcript.pyannote[435].end 1529.26034375
transcript.pyannote[436].speaker SPEAKER_05
transcript.pyannote[436].start 1525.83471875
transcript.pyannote[436].end 1543.35096875
transcript.pyannote[437].speaker SPEAKER_03
transcript.pyannote[437].start 1529.74971875
transcript.pyannote[437].end 1529.96909375
transcript.pyannote[438].speaker SPEAKER_01
transcript.pyannote[438].start 1529.96909375
transcript.pyannote[438].end 1529.98596875
transcript.pyannote[439].speaker SPEAKER_03
transcript.pyannote[439].start 1543.73909375
transcript.pyannote[439].end 1559.87159375
transcript.pyannote[440].speaker SPEAKER_05
transcript.pyannote[440].start 1559.87159375
transcript.pyannote[440].end 1561.05284375
transcript.pyannote[441].speaker SPEAKER_05
transcript.pyannote[441].start 1561.08659375
transcript.pyannote[441].end 1570.40159375
transcript.pyannote[442].speaker SPEAKER_03
transcript.pyannote[442].start 1569.64221875
transcript.pyannote[442].end 1571.68409375
transcript.pyannote[443].speaker SPEAKER_05
transcript.pyannote[443].start 1571.68409375
transcript.pyannote[443].end 1571.81909375
transcript.pyannote[444].speaker SPEAKER_03
transcript.pyannote[444].start 1571.97096875
transcript.pyannote[444].end 1574.06346875
transcript.pyannote[445].speaker SPEAKER_05
transcript.pyannote[445].start 1572.46034375
transcript.pyannote[445].end 1574.43471875
transcript.pyannote[446].speaker SPEAKER_03
transcript.pyannote[446].start 1574.94096875
transcript.pyannote[446].end 1579.02471875
transcript.pyannote[447].speaker SPEAKER_05
transcript.pyannote[447].start 1574.95784375
transcript.pyannote[447].end 1575.86909375
transcript.pyannote[448].speaker SPEAKER_03
transcript.pyannote[448].start 1579.14284375
transcript.pyannote[448].end 1581.80909375
transcript.pyannote[449].speaker SPEAKER_05
transcript.pyannote[449].start 1580.83034375
transcript.pyannote[449].end 1582.68659375
transcript.pyannote[450].speaker SPEAKER_05
transcript.pyannote[450].start 1583.34471875
transcript.pyannote[450].end 1589.06534375
transcript.pyannote[451].speaker SPEAKER_03
transcript.pyannote[451].start 1583.88471875
transcript.pyannote[451].end 1584.00284375
transcript.pyannote[452].speaker SPEAKER_03
transcript.pyannote[452].start 1585.04909375
transcript.pyannote[452].end 1585.84221875
transcript.pyannote[453].speaker SPEAKER_05
transcript.pyannote[453].start 1589.57159375
transcript.pyannote[453].end 1591.96784375
transcript.pyannote[454].speaker SPEAKER_05
transcript.pyannote[454].start 1592.89596875
transcript.pyannote[454].end 1598.00909375
transcript.pyannote[455].speaker SPEAKER_05
transcript.pyannote[455].start 1598.32971875
transcript.pyannote[455].end 1601.21534375
transcript.pyannote[456].speaker SPEAKER_05
transcript.pyannote[456].start 1602.16034375
transcript.pyannote[456].end 1602.37971875
transcript.pyannote[457].speaker SPEAKER_05
transcript.pyannote[457].start 1602.70034375
transcript.pyannote[457].end 1611.03659375
transcript.pyannote[458].speaker SPEAKER_03
transcript.pyannote[458].start 1610.24346875
transcript.pyannote[458].end 1611.00284375
transcript.pyannote[459].speaker SPEAKER_03
transcript.pyannote[459].start 1611.03659375
transcript.pyannote[459].end 1612.50471875
transcript.pyannote[460].speaker SPEAKER_05
transcript.pyannote[460].start 1612.50471875
transcript.pyannote[460].end 1616.20034375
transcript.pyannote[461].speaker SPEAKER_03
transcript.pyannote[461].start 1612.52159375
transcript.pyannote[461].end 1613.70284375
transcript.pyannote[462].speaker SPEAKER_05
transcript.pyannote[462].start 1616.55471875
transcript.pyannote[462].end 1619.22096875
transcript.pyannote[463].speaker SPEAKER_03
transcript.pyannote[463].start 1619.84534375
transcript.pyannote[463].end 1634.96534375
transcript.pyannote[464].speaker SPEAKER_05
transcript.pyannote[464].start 1634.96534375
transcript.pyannote[464].end 1634.99909375
transcript.pyannote[465].speaker SPEAKER_03
transcript.pyannote[465].start 1635.38721875
transcript.pyannote[465].end 1635.40409375
transcript.pyannote[466].speaker SPEAKER_05
transcript.pyannote[466].start 1635.40409375
transcript.pyannote[466].end 1638.20534375
transcript.pyannote[467].speaker SPEAKER_05
transcript.pyannote[467].start 1638.89721875
transcript.pyannote[467].end 1643.13284375
transcript.pyannote[468].speaker SPEAKER_05
transcript.pyannote[468].start 1643.33534375
transcript.pyannote[468].end 1645.10721875
transcript.pyannote[469].speaker SPEAKER_03
transcript.pyannote[469].start 1646.47409375
transcript.pyannote[469].end 1647.77346875
transcript.pyannote[470].speaker SPEAKER_03
transcript.pyannote[470].start 1648.12784375
transcript.pyannote[470].end 1653.76409375
transcript.pyannote[471].speaker SPEAKER_05
transcript.pyannote[471].start 1655.68784375
transcript.pyannote[471].end 1657.59471875
transcript.pyannote[472].speaker SPEAKER_05
transcript.pyannote[472].start 1657.96596875
transcript.pyannote[472].end 1663.55159375
transcript.pyannote[473].speaker SPEAKER_05
transcript.pyannote[473].start 1663.80471875
transcript.pyannote[473].end 1665.25596875
transcript.pyannote[474].speaker SPEAKER_05
transcript.pyannote[474].start 1665.64409375
transcript.pyannote[474].end 1668.22596875
transcript.pyannote[475].speaker SPEAKER_05
transcript.pyannote[475].start 1668.74909375
transcript.pyannote[475].end 1669.50846875
transcript.pyannote[476].speaker SPEAKER_05
transcript.pyannote[476].start 1669.66034375
transcript.pyannote[476].end 1671.31409375
transcript.pyannote[477].speaker SPEAKER_00
transcript.pyannote[477].start 1672.56284375
transcript.pyannote[477].end 1674.87471875
transcript.pyannote[478].speaker SPEAKER_00
transcript.pyannote[478].start 1675.44846875
transcript.pyannote[478].end 1678.67159375
transcript.pyannote[479].speaker SPEAKER_00
transcript.pyannote[479].start 1679.19471875
transcript.pyannote[479].end 1684.07159375
transcript.pyannote[480].speaker SPEAKER_00
transcript.pyannote[480].start 1684.74659375
transcript.pyannote[480].end 1690.28159375
transcript.pyannote[481].speaker SPEAKER_00
transcript.pyannote[481].start 1690.46721875
transcript.pyannote[481].end 1692.79596875
transcript.pyannote[482].speaker SPEAKER_00
transcript.pyannote[482].start 1693.28534375
transcript.pyannote[482].end 1698.55034375
transcript.pyannote[483].speaker SPEAKER_00
transcript.pyannote[483].start 1698.70221875
transcript.pyannote[483].end 1700.59221875
transcript.pyannote[484].speaker SPEAKER_05
transcript.pyannote[484].start 1700.96346875
transcript.pyannote[484].end 1707.20721875
transcript.pyannote[485].speaker SPEAKER_00
transcript.pyannote[485].start 1707.59534375
transcript.pyannote[485].end 1708.37159375
transcript.pyannote[486].speaker SPEAKER_05
transcript.pyannote[486].start 1707.91596875
transcript.pyannote[486].end 1710.66659375
transcript.pyannote[487].speaker SPEAKER_00
transcript.pyannote[487].start 1710.95346875
transcript.pyannote[487].end 1716.57284375
transcript.pyannote[488].speaker SPEAKER_00
transcript.pyannote[488].start 1717.14659375
transcript.pyannote[488].end 1719.96471875
transcript.pyannote[489].speaker SPEAKER_00
transcript.pyannote[489].start 1720.11659375
transcript.pyannote[489].end 1720.96034375
transcript.pyannote[490].speaker SPEAKER_00
transcript.pyannote[490].start 1721.31471875
transcript.pyannote[490].end 1725.93846875
transcript.pyannote[491].speaker SPEAKER_05
transcript.pyannote[491].start 1724.35221875
transcript.pyannote[491].end 1735.43909375
transcript.pyannote[492].speaker SPEAKER_05
transcript.pyannote[492].start 1736.35034375
transcript.pyannote[492].end 1736.90721875
transcript.pyannote[493].speaker SPEAKER_00
transcript.pyannote[493].start 1737.12659375
transcript.pyannote[493].end 1742.74596875
transcript.pyannote[494].speaker SPEAKER_05
transcript.pyannote[494].start 1737.80159375
transcript.pyannote[494].end 1737.81846875
transcript.pyannote[495].speaker SPEAKER_05
transcript.pyannote[495].start 1742.74596875
transcript.pyannote[495].end 1743.18471875
transcript.pyannote[496].speaker SPEAKER_00
transcript.pyannote[496].start 1743.28596875
transcript.pyannote[496].end 1756.02659375
transcript.pyannote[497].speaker SPEAKER_05
transcript.pyannote[497].start 1745.74971875
transcript.pyannote[497].end 1746.98159375
transcript.pyannote[498].speaker SPEAKER_05
transcript.pyannote[498].start 1748.97284375
transcript.pyannote[498].end 1749.02346875
transcript.pyannote[499].speaker SPEAKER_04
transcript.pyannote[499].start 1749.02346875
transcript.pyannote[499].end 1749.07409375
transcript.pyannote[500].speaker SPEAKER_00
transcript.pyannote[500].start 1756.53284375
transcript.pyannote[500].end 1760.27909375
transcript.pyannote[501].speaker SPEAKER_05
transcript.pyannote[501].start 1760.27909375
transcript.pyannote[501].end 1764.14346875
transcript.pyannote[502].speaker SPEAKER_00
transcript.pyannote[502].start 1760.32971875
transcript.pyannote[502].end 1760.41409375
transcript.pyannote[503].speaker SPEAKER_00
transcript.pyannote[503].start 1760.46471875
transcript.pyannote[503].end 1760.95409375
transcript.pyannote[504].speaker SPEAKER_00
transcript.pyannote[504].start 1761.88221875
transcript.pyannote[504].end 1769.15534375
transcript.pyannote[505].speaker SPEAKER_05
transcript.pyannote[505].start 1767.11346875
transcript.pyannote[505].end 1770.23534375
transcript.pyannote[506].speaker SPEAKER_05
transcript.pyannote[506].start 1770.53909375
transcript.pyannote[506].end 1775.04471875
transcript.pyannote[507].speaker SPEAKER_05
transcript.pyannote[507].start 1775.51721875
transcript.pyannote[507].end 1778.35221875
transcript.pyannote[508].speaker SPEAKER_05
transcript.pyannote[508].start 1778.70659375
transcript.pyannote[508].end 1781.79471875
transcript.pyannote[509].speaker SPEAKER_05
transcript.pyannote[509].start 1782.09846875
transcript.pyannote[509].end 1783.66784375
transcript.pyannote[510].speaker SPEAKER_05
transcript.pyannote[510].start 1784.00534375
transcript.pyannote[510].end 1788.88221875
transcript.pyannote[511].speaker SPEAKER_05
transcript.pyannote[511].start 1789.48971875
transcript.pyannote[511].end 1792.22346875
transcript.pyannote[512].speaker SPEAKER_00
transcript.pyannote[512].start 1792.74659375
transcript.pyannote[512].end 1793.35409375
transcript.pyannote[513].speaker SPEAKER_05
transcript.pyannote[513].start 1794.14721875
transcript.pyannote[513].end 1796.72909375
transcript.pyannote[514].speaker SPEAKER_00
transcript.pyannote[514].start 1794.63659375
transcript.pyannote[514].end 1795.26096875
transcript.pyannote[515].speaker SPEAKER_00
transcript.pyannote[515].start 1797.33659375
transcript.pyannote[515].end 1814.11034375
transcript.pyannote[516].speaker SPEAKER_05
transcript.pyannote[516].start 1797.38721875
transcript.pyannote[516].end 1798.36596875
transcript.pyannote[517].speaker SPEAKER_05
transcript.pyannote[517].start 1815.47721875
transcript.pyannote[517].end 1817.50221875
transcript.pyannote[518].speaker SPEAKER_00
transcript.pyannote[518].start 1817.51909375
transcript.pyannote[518].end 1818.93659375
transcript.pyannote[519].speaker SPEAKER_02
transcript.pyannote[519].start 1818.93659375
transcript.pyannote[519].end 1823.30721875
transcript.pyannote[520].speaker SPEAKER_02
transcript.pyannote[520].start 1825.72034375
transcript.pyannote[520].end 1826.96909375
transcript.whisperx[0].start 2.99
transcript.whisperx[0].end 7.272
transcript.whisperx[0].text 主席好,我們有請我們的左院長麻煩再請左院長備選邱委員好院長好,今天一開始我想跟你討論的是我們苗栗孩子的授教權的問題我們看一下影片
transcript.whisperx[1].start 27.76
transcript.whisperx[1].end 55.069
transcript.whisperx[1].text 這個是上個月開學的時候我到苗栗的後莊國小去看孩子們上課的一個狀況那1.8公頃的這個學校最合適的班級數大概是40班後莊國小現在是51班院長你能想像超出11班又是滿班的一個學校孩子們在上課的教室跟下課的活動空間是有多擁擠嗎 剛剛有看到吧
transcript.whisperx[2].start 56.36
transcript.whisperx[2].end 77.537
transcript.whisperx[2].text 我們再放一次好了這裡有51班喔對,51班齁那我們後川國小的這個位置就在科學園區的旁邊你們看一下這是一個小型的一個室內的一個運動場一個運動的一個區域
transcript.whisperx[3].start 81.087
transcript.whisperx[3].end 104.734
transcript.whisperx[3].text 那後莊國小的位置就在科學園區旁邊那竹科的員工上個月已經有17萬8633人比起五年前增加了兩萬五千人左右竹科飽和帶來的外溢效益讓很多的新竹上班的人選擇搬到苗栗的竹南跟投奉當然我們非常非常歡迎他們到苗栗來那
transcript.whisperx[4].start 108.503
transcript.whisperx[4].end 133.257
transcript.whisperx[4].text 我們在2022年的時候成為少數人口一路正成長的一個縣市更值得一提的是到去年2月到今年2月一年之間涉及在頭份竹南的人口增加了2117人近三年大概增加了6000人每一年以1%的這個速度成長在整個台灣來講是非常少見的
transcript.whisperx[5].start 134.724
transcript.whisperx[5].end 141.965
transcript.whisperx[5].text 那現在竹南頭份市區的國中國小幾乎都是額滿的我們面臨的是學校小孩子根本就沒有教室上課
transcript.whisperx[6].start 142.932
transcript.whisperx[6].end 165.324
transcript.whisperx[6].text 那接下來桃竹苗大溪谷計畫的推動我想我們預估未來會增加14萬個工作機會那可預期的就是孩子的這個受教的一個問題其實桃竹苗大溪谷計畫當初在核定的時候配套就包含要確保水電無虞嘛交通的順暢醫療充足員工居住跟子女教育的部分
transcript.whisperx[7].start 166.226
transcript.whisperx[7].end 191.212
transcript.whisperx[7].text 沒錯吧,我們當初也涵蓋在這裡面那我們以南科來說增加台南、高雄、嘉義、屏東園區園區裡面每一個園區都有一所實驗的學校我們不是說別人有,我們苗栗也要有但是苗栗確實有這個需要那我們再看一下剛剛下一張照片這個好
transcript.whisperx[8].start 195.766
transcript.whisperx[8].end 222.409
transcript.whisperx[8].text 這是二月中我們開的一個座談會來參與的都是家長這個人數是爆滿的我們希望因應園區的發展小孩子的就業需求在竹南科學園區裡面設立實驗中學那目前我們中縣長也已經找好了地是縣府的地大概有九公頃左右那地由地方出中央出錢一起合作我們那天的座談會教育部有派人來參加
transcript.whisperx[9].start 224.302
transcript.whisperx[9].end 240.795
transcript.whisperx[9].text 教育部目前應該是沒有什麼問題現在就等院長跟國科會我們這邊點頭我不知道院長的意思呢非常感謝邱委員如此關心教育的問題能夠關心下一代是我們必須該做的重要的事情
transcript.whisperx[10].start 241.601
transcript.whisperx[10].end 256.701
transcript.whisperx[10].text 那隨著科學園區的增加產業的發展我們需要更多的這種教育的設施空間所以我想無論從硬體軟體 絲織各方面來十足的增加都必須要的而且
transcript.whisperx[11].start 258.069
transcript.whisperx[11].end 282.45
transcript.whisperx[11].text 委員所說的已經不是光是教育部的問題了我們的實驗中學 與其在科學園區的實驗中學都是國科會要全面來規劃來執行的所以國科會吳主委也一直在討論這個事情那我也相當的了解 目前進度過程吳主委來答覆我們請吳主委講一下我們科學園區實驗中學需要在園區籌設計畫抱怨
transcript.whisperx[12].start 284.994
transcript.whisperx[12].end 292.153
transcript.whisperx[12].text 核定及取得學校用地產權後才能夠進行評估規劃現在縣府已經找到地
transcript.whisperx[13].start 294.015
transcript.whisperx[13].end 317.304
transcript.whisperx[13].text 目前我們整個產業的需求現在還沒有很明確因為原來竹南科學園區的這個土地上次院長也去看過現在縣政府所規劃的三塊地其實都不符合現在產業的需求我想問主委我們大溪谷計畫是不是確定會推動
transcript.whisperx[14].start 319.218
transcript.whisperx[14].end 332.984
transcript.whisperx[14].text 已經核定了但是地方政府要配合當然當然我們絕對會配合就是說那既然要推動是不是小孩子就這個教育的問題受教的問題是不是要優先考量而且要提早來進行因為
transcript.whisperx[15].start 333.803
transcript.whisperx[15].end 351.999
transcript.whisperx[15].text 孩子的成長只有一次他沒有辦法重來也不能等他錯過了這一次機會如果我們慢了一年他的未來就影響到是比較快速的方法是趕快在既有的學校趕快擴充問題他剛剛我講了他那個土地只有1.8公尺因為需要要成立科學園區的實驗中學
transcript.whisperx[16].start 353.58
transcript.whisperx[16].end 370.512
transcript.whisperx[16].text 是有他的一些既定的這個辦法我想委員非常清楚我們要做很完善的調查這位委員報告這個部長也跟鍾縣長有過接觸有討論過那目前這個部長在教育部裡面的作業我請部長來說明
transcript.whisperx[17].start 372.715
transcript.whisperx[17].end 389.439
transcript.whisperx[17].text 我想謝謝委員關心竹南竹苗地區的一些從小學國中到高中的一些教育的一個機會的提供跟教育品質上的一個確保確實我們也看到竹苗這三個縣是因為科學園區的一個進駐
transcript.whisperx[18].start 395.192
transcript.whisperx[18].end 403.2
transcript.whisperx[18].text 這個人口是在增加的所以我們在今年的一月對目前的竹苗八所的高中我們已經撥了3,507萬先用來增班
transcript.whisperx[19].start 408.798
transcript.whisperx[19].end 436.438
transcript.whisperx[19].text 這是一個馬上立即可以改善我跟妳報告那跟委員報告那另外我們也核定就是說從今年開始我們這一個苗栗縣投訓國中的西社校社二十千的教師的工程經費有一億七千將近八千萬這一個用來希望能夠趕快增設這個學校我想另外還有一個苗栗的這個大同高中跟
transcript.whisperx[20].start 437.098
transcript.whisperx[20].end 451.994
transcript.whisperx[20].text 新華高中我們也給予這一個經費的補助都希望從快速的校舍的徵建學校的成立部長你講的沒錯這是一般的校舍啦一般的校舍其實當初我們中央補助了非常多的一個實驗教室實驗室
transcript.whisperx[21].start 454.016
transcript.whisperx[21].end 470.173
transcript.whisperx[21].text 那現在這些實驗室根本就是已經拿來當作教室在用了所以學生連實驗室都沒有這個部分本來就是要解決那我們提的實驗中學它其實的目的是在於說因為我們很多這個園區的員工的子女受教的問題
transcript.whisperx[22].start 470.934
transcript.whisperx[22].end 490.381
transcript.whisperx[22].text 一般來說如果我們家不成立未來我們苗栗縣的這些搬到苗栗縣的來這些園區的員工的子女他未來要到新竹去念實驗中學是不可能的他進不去的所以我們是希望把人才留在苗栗才會跟我們中間來提這件事情你懂我意思嗎
transcript.whisperx[23].start 492.571
transcript.whisperx[23].end 509.801
transcript.whisperx[23].text 不過我們是已經跟縣政府有討論過這個事我們竹科管理局也是很積極在協助那我們希望苗栗縣政府趕快先進行擴建用地規劃這個規劃還是要符合我們產業需求這個規劃完成以後我們竹科管理局會
transcript.whisperx[24].start 510.781
transcript.whisperx[24].end 538.749
transcript.whisperx[24].text 取得產權之後土地規劃完,用地取得你不能先核地嗎?先准他嗎?他就可以先前作業嘛,不是嗎?要先前作業,現在可能性評估在做可是現在三塊用地其實是並不符合我們現在講的重要產業他的這個需求啦那當然啦,這個縣府我這是另外一個層面我們當然會加緊腳步跟中央好好的配合啦那我現在講的就是說這個部分我們不能拿出來先來做一個事前的一個準備嘛
transcript.whisperx[25].start 539.99
transcript.whisperx[25].end 566.093
transcript.whisperx[25].text 讓我們在後續才能夠知道我們下一步要做什麼委員剛剛主委講說現在的土地評估起來不是很適合也請委員拜託我們到對地方了解有沒有更好的地點我們可以再繼續做評估那原則上我這樣問好了我們院長主委部長你們支不支持我們大溪谷計畫的園區裡面我們住在園區裡面增設一所實驗中學你支持嗎我們評估
transcript.whisperx[26].start 568.13
transcript.whisperx[26].end 591.048
transcript.whisperx[26].text 確定有這個需求我們當然一定會盡力來協助現在我就覺得 你就答應我就好了嘛不是 我們還是評估因為用地取得對啦 我知道啦 我的意思是說你既然大溪谷計畫既然要確定要實施那為什麼學校我認為趨勢上我們應該要提早因應做準備但是如果沒有找到合適的地點 大小
transcript.whisperx[27].start 592.009
transcript.whisperx[27].end 610.095
transcript.whisperx[27].text 他的位置的土地那也是沒有辦法執行所以趕快來找找看適合的地點是何在我們就進行來評估如何來設置怎麼樣規模內容的一個怎麼樣學校但地點要先有著落好的土地的問題我們來解決啦那我們會支持孩子受教的問題嗎對不對
transcript.whisperx[28].start 612.168
transcript.whisperx[28].end 641.394
transcript.whisperx[28].text 是是是,我們當然那個桃中原大氣谷的這個發展已經在行政院通過了我們科學園區管理局會積極來協助因為你看嘉義、嘉科、平科、時中111年核定,113年八月就開始招生了他現在還沒蓋好他當然土地的問題這個我知道,那我們回去加緊腳步那請我們主委跟我們部長還院長大家一起來努力來推動這件事情好嗎
transcript.whisperx[29].start 642.294
transcript.whisperx[29].end 670.157
transcript.whisperx[29].text 好 謝謝部長請回那接下來我再請問我們的院長我們賴清同總統上週在宣布這個17項策略之後人民還有各行各業普遍都感覺到台灣的民主變了調雖然總統沒有宣布戰爭也沒有宣布戒嚴但是對外就是進入了準戰爭的時期對內呢就是實施類戒嚴
transcript.whisperx[30].start 671.26
transcript.whisperx[30].end 699.77
transcript.whisperx[30].text 那賴總統說中國大陸危險嚴重我們有召開或者是參加這個緊急的因應會議嗎有就開了幾次這一次兩次都有參加那院長你認為台灣是一個民主國家嗎當然是我也認同你剛剛講的但是我覺得讓我們覺得我們賴清德總統賴政府正在複製一段歷史
transcript.whisperx[31].start 700.595
transcript.whisperx[31].end 728.655
transcript.whisperx[31].text 一樣的反共一樣的反民族主義的口號一樣的製造內部跟外部的敵人一樣的利用抹黑的手段媒體抹黑的手段一樣的藉體發揮面對不同的聲音一樣的貼標籤然後要做司法的變革一樣的政治目的目的就是要消滅我們在野黨你有沒有覺得這個似曾相識絕對非如此我們只是在面對境外
transcript.whisperx[32].start 730.062
transcript.whisperx[32].end 755.023
transcript.whisperx[32].text 敵對勢力對我們不斷的併吞跟滲透的意圖我們築起一道更高更堅固自我防衛的高牆這絕對不是準戰爭的行為這是自我防衛的決心自我防衛的責任就是說我們現在賴政府所做的事情跟希特勒非常相似完全不一樣那我們總統講一句話我們就要恢復軍事審判這個不是獨裁嗎
transcript.whisperx[33].start 757.617
transcript.whisperx[33].end 785.747
transcript.whisperx[33].text 當然不是 軍事審判我再說明他只有針對現役軍人的五種軍事犯罪叛亂 利敵 泄密 廢止職務以及抗命軍人不能有這五種行為有這五種行為就是軍事審判我們總統公開宣布了30分鐘那台灣人民可能有一半以上就開始擔心以後的生活那按照民主法制的精神恢復軍事審判制度要不要修法
transcript.whisperx[34].start 786.67
transcript.whisperx[34].end 815.443
transcript.whisperx[34].text 我們會啟動所有相關的修法包括軍法官人士的條例我們也要有更有經驗跟民主素養的軍法官來處理這些案子草案你有沒有正在處理啊什麼時候要提呢我希望我們在一個月內提了之後會跟社會溝通嗎當然我們現在所有的立法過程都必須跟社會也要跟大院溝通對啦 不要總統一宣布你們就配合著修法我認為爭取社會
transcript.whisperx[35].start 816.463
transcript.whisperx[35].end 832.478
transcript.whisperx[35].text 的認同更重要我們會啟動相關必要的程序這才是民主國家啦跟委員報告我想我們在研擬的過程當中都要跟社會各界保持溝通也要跟這個相關的這些專業人士來進行諮商這樣子
transcript.whisperx[36].start 833.599
transcript.whisperx[36].end 852.12
transcript.whisperx[36].text 那根據中華民國憲法總統是可以宣戰也可以宣布戒嚴公布法令發布命令但是我沒有聽過總統一句話就可以把這個現有的法律直接改掉的那要不要恢復軍事審判這是一個嚴肅的問題我們可以認真對待這件事情嗎 院長
transcript.whisperx[37].start 854.159
transcript.whisperx[37].end 873.822
transcript.whisperx[37].text 這個朝野的委員在過去也都有這樣相關的提案所以不是總統的一句話總統宣示一個政策出來之後民主國家按照民主的程序來完成所有相關立法跟配套這是現在我們必須馬上開始要做的所以立法的也都要經過立法院的同意啊
transcript.whisperx[38].start 874.582
transcript.whisperx[38].end 895.072
transcript.whisperx[38].text 這個不是說我們相關這樣一下宣布就可以進行因為我們研擬完之後跟這一個專業人士諮商跟社會溝通者還是要送大院來審議好,我希望你們講的要照做就是說你們常常在喊的是沒有討論就沒有民主我希望你們不要
transcript.whisperx[39].start 896.775
transcript.whisperx[39].end 915.209
transcript.whisperx[39].text 一邊講一種話回來講了又另外一種話那我們當然是不允許我們的國軍裡面有人做出危害國家安危的事情那但是你們現在對外一致的回答讓民眾覺得你在告訴大家馬英九任內我們兩岸溝通非常良好非常和平
transcript.whisperx[40].start 916.038
transcript.whisperx[40].end 926.703
transcript.whisperx[40].text 蔡英文任內呢 也還算穩定所以沒有軍法的重啟軍法的這個必要那現在我們賴總統一上任之後就認為軍機就變換散了就準備開戰了現在是這個原因嗎
transcript.whisperx[41].start 932.125
transcript.whisperx[41].end 956.158
transcript.whisperx[41].text 我們外面的解讀是這樣我想院長已經一切的說明了這個我想我們就已經限縮為現役軍人犯軍人職務上是犯罪這跟這個戒嚴沒有任何的關聯不然我再問你你過去是支持廢除軍事法庭的那你要為你過去的審判制度道歉嗎
transcript.whisperx[42].start 957.333
transcript.whisperx[42].end 984.88
transcript.whisperx[42].text 我想我們現在要來的是一個重新打造一個新的符合公平審判原則跟正當法律原則的一個新的您的意思是說你2013年當時你還是顧立雄律師的時候你的失律不周、倉促行事盧蟒而廢除的軍事審判是錯的嗎?我想當時的軍事審判制度有違憲的地方有這個不符合公平法律設計的地方那時候為什麼不改要廢呢?
transcript.whisperx[43].start 986.04
transcript.whisperx[43].end 1003.048
transcript.whisperx[43].text 當時我並不是國防部長所以你現在你現在擔任的你就要飛了但是我現在擔任我當然有這個職責來讓這個軍事審判是合於現場的意志因為現在的司法跟檢調都不普遍都不太讓人民信任更何況是完全在威權的這個軍隊裡
transcript.whisperx[44].start 1005.249
transcript.whisperx[44].end 1026.422
transcript.whisperx[44].text 軍事審判要不要恢復這是一個嚴肅的問題民主國家很多國家都有軍事審判的這樣的一個制度其實我們的立場一直沒有認為說要把它廢除我們只是說這個東西當然是可以更透明這是我們當初國民黨的一貫的立場那當初說要廢的是你啊是你們民進黨
transcript.whisperx[45].start 1027.483
transcript.whisperx[45].end 1042.641
transcript.whisperx[45].text 那現在說要恢復的也是民進黨神也是你們鬼也是你們這個立場反覆啊讓人民沒有辦法溝通嘛你要怎麼樣去去跟像那些當初為了洪仲秋的案子的號召的上街頭的24萬人
transcript.whisperx[46].start 1044.718
transcript.whisperx[46].end 1063.692
transcript.whisperx[46].text 他們要情何以堪啊德國委員報告我們回憶到當時是因為內在的因素因為領滅的事件軍中人權被忽略了所以內在的因素經過種種社會的反應是馬前總統的宣布廢除了軍事研判今天我們面對是外在的威脅
transcript.whisperx[47].start 1065.473
transcript.whisperx[47].end 1093.592
transcript.whisperx[47].text 內部的因素我們已經完整的保存了人權跟包裝金融人權未來我們也會有更有經驗更有民主更有法律素養的軍法官來審理所以沒有內在因素的問題我們面對的是外在的威脅你現在解釋就是說跟現在時空背景是不一樣以前追求的是安居樂業那以兩岸和平為主軸那現在你說追求兩岸和平是溫柔的投降
transcript.whisperx[48].start 1094.552
transcript.whisperx[48].end 1119.444
transcript.whisperx[48].text 是這樣我說私私有兩種和平也有兩種一種是國家要夠強一種是束手投降在我看來這是掌權者無視人命的倔強就是保障國人才可以這麼做你還記得賴清德總統要上任的時候他有一個影片廣告宣傳他是上了一部轎車對吧
transcript.whisperx[49].start 1121.545
transcript.whisperx[49].end 1134.773
transcript.whisperx[49].text 可是我現在看起來他當選之後他是不是上錯車了他開到火車了不會轉彎 直走我們開一部往和平的車往和平中站的車但是我們每天受到
transcript.whisperx[50].start 1136.721
transcript.whisperx[50].end 1151.28
transcript.whisperx[50].text 軍機軍艦的威脅在台灣環繞不是從今天開始也不是從520開始好啦院長最後來我跟你講我們內閣裡面有很多人失言、造謠甚至當側翼的這些官員你們可以用很多的政治語言去粉飾太平
transcript.whisperx[51].start 1151.801
transcript.whisperx[51].end 1179.122
transcript.whisperx[51].text 但是總統對外講的話會牽動國家的生死存亡也會帶著2300萬人民的生命財產安全受到影響那我希望以後這種事情我希望你們能夠更審慎的來討論我們兩岸的關係跟國際上的一個關係這樣可以嗎一直非常審慎的討論事前做很多的研商那麼每一個文字自貞自卓的都相當的謹慎
transcript.whisperx[52].start 1180.143
transcript.whisperx[52].end 1191
transcript.whisperx[52].text 就是要讓國人有信心讓國際也認為我們有保衛自己的決心那部長說國軍不管有沒有打仗隨時都要備戰嘛 對不對
transcript.whisperx[53].start 1192.336
transcript.whisperx[53].end 1214.586
transcript.whisperx[53].text 對 因為我們備戰才能避戰對 我也覺得非常有道理本來我們這個國防本來就是要做那現在兩岸關係現在被你們搞到這麼緊張要增加國防實力我認為沒有人會反對今年國防預算是6470億我們賴總統說要提高到GDP的3%大概會增加1200億左右
transcript.whisperx[54].start 1217.106
transcript.whisperx[54].end 1233.095
transcript.whisperx[54].text 當然我們在黨的立場是這樣合理的可以被監督的當然我們會支持但是你們打算怎麼分配你是多少要買武器多少要增加國軍薪資的待遇
transcript.whisperx[55].start 1234.135
transcript.whisperx[55].end 1257.404
transcript.whisperx[55].text 跟委員報告,我想大概國防的預算支出大概是就三大塊嘛一塊是人員的維持費,一塊是作業維持費還有一塊是這個軍事投資軍事的投資又有不同,也有除了我們國防自主的產能之外也有軍購,也有商購所以這些部分我們都是依照我們作戰的實際需要
transcript.whisperx[56].start 1258.524
transcript.whisperx[56].end 1284.858
transcript.whisperx[56].text 來進行這個相關的這些軍事投資那作業維持的部分因為中國的侵擾我想這個作業維持也日益增加我想我們也需要這些零附件、油料的這些籌貨那人員維持的部分我想我們也在進行一些待遇調整的方案這些方案也順我行政院行政院正在審議當中好,那你們提的你們有提版本了嗎?國民黨提了一個對吧?國民黨提了一個
transcript.whisperx[57].start 1287.438
transcript.whisperx[57].end 1313.712
transcript.whisperx[57].text 軍人待遇改革法案從薪資加給福利津貼方面直接入法保障因為要提升國防最重要的是人你買再多的武器沒有人是沒有用的沒有人使用是沒用的那志願役呢國民黨提的版本是二等兵直接加薪兩萬那你們研議的會比這個多還是比這個少我想行政院在審議之後我們會對外公布但是我們不認為這樣子的一個
transcript.whisperx[58].start 1314.946
transcript.whisperx[58].end 1338.88
transcript.whisperx[58].text 我一直在講這種因為現在據這個立委有提出來的這些喊價式的這種待遇調整的方法我想並沒有考慮到整個這一個我覺得是這樣子你們既然有版本要趕快提出來是在還沒有進入三讀之前我們政黨裡面我們大家好好的來協商好好討論這件事情我覺得這是有必要的不要倉促到時候你們不談等到我們提出來你們又要提復議
transcript.whisperx[59].start 1340.961
transcript.whisperx[59].end 1356.278
transcript.whisperx[59].text 院長應該會盡快來核定這個國防部已經把完整詳細的整個方案這個案子都送到行政院行政院基本上會尊重國防部我也會同意國防部送來的案子那大概什麼時候會停我們完成內部很快
transcript.whisperx[60].start 1357.823
transcript.whisperx[60].end 1384.565
transcript.whisperx[60].text 這個之外我們對軍人的一些包括他的保險我們也會做增加這是另案的我們是希望提升軍人的待遇目的是要有人那當然我們也有精兵的一個政策然後我們大概也算了一下大概改善軍人待遇初估大概多了大概是440多億我覺得這非常重要而且我們部裡面還有行政院這邊能夠納入考量
transcript.whisperx[61].start 1385.981
transcript.whisperx[61].end 1413.852
transcript.whisperx[61].text 我們衡量國家的需求對軍人的待遇 國家的需求對於整體的戰力因為我們要從整體的不只財政預渡好啦 那我期待你們的版本出來好不好謝謝 謝謝部長那再來就是賴總統的17項策略裡面部長請回 請回主委也請回那個就台灣與中國的經貿關係進行策略性的結構調整那目前我們要怎麼調整
transcript.whisperx[62].start 1414.875
transcript.whisperx[62].end 1442.888
transcript.whisperx[62].text 他的原則就是以強本固抬風險管理作為原則性那對雙方的人流物流金流跟技術必須要做到必要跟有序的調整就是一切要以強化我們自己的經濟安全為出發怎麼調整嗎 你要終止ECFA還是要做進出國管制還是要廢除兩岸人民關係條例
transcript.whisperx[63].start 1444.619
transcript.whisperx[63].end 1469.331
transcript.whisperx[63].text 大體的講是內控跟外控我們對輸出到國外的你知道我們台灣一年出口中國跟香港的這個金額是多少嗎一定相當龐大 對所以我們更要小心 不能過度的依賴性出去的各種關於高科技的產品更應該在符合我們現在國家安全的需求底下做強烈要求對 我現在要講的一個現實的問題就是說
transcript.whisperx[64].start 1472.335
transcript.whisperx[64].end 1501.027
transcript.whisperx[64].text 台灣進出口到中國和香港每年是4,898億左右那我講的是去年的數據那今年呢出口美國的金額是3,560億左右那到日本的金額是8,200億台灣出口東協10國的金額大概是2,800億左右那如果我們現在限縮了我們跟中國的一個交流的時候我們每年出口到
transcript.whisperx[65].start 1502.045
transcript.whisperx[65].end 1525.111
transcript.whisperx[65].text 大陸香港的這些業者他們未來怎麼辦所以台灣也要分散我們的市場我們出去到中國的很多的產品他都是加工之後又到世界各地去那也許世界各地也有更適合的生產基地你這些配套想好了沒有因為我看你們的動作就是要跟對岸來宗旨你要叫這些人
transcript.whisperx[66].start 1525.831
transcript.whisperx[66].end 1542.963
transcript.whisperx[66].text 我們只是要做必要跟有序的調整你要給人家一個方向你知道嗎你不是說現在講然後讓大家覺得沒有明天我到底要不要繼續投資我到底要怎麼樣我要移到哪邊去我這個行業到底要不要繼續做那我的未來怎麼辦我的貸款怎麼辦我的小孩怎麼辦
transcript.whisperx[67].start 1543.783
transcript.whisperx[67].end 1566.698
transcript.whisperx[67].text 不僅我們的廠商會到世界布局,我們也會另外有相當完整的條件希望國外的廠商也到台灣來設廠投資那國內的廠商對在國內的投資也會持續的加碼這個都是現在已經看到的現象部長,你們如果最終的目的是要兩岸停止交流我請你們直接告訴人民,讓我們的人民有所準備
transcript.whisperx[68].start 1567.738
transcript.whisperx[68].end 1591.62
transcript.whisperx[68].text 這樣不確定性會讓人民不知所措兩岸必須做健康有序的交流你們的健康標準是什麼要保障台灣人主體的安全國防的安全跟經濟的安全跟人民的安全這個怎麼認定我覺得很模糊你知道嗎你不能選擇一把大刀在人家頭上什麼時候要往下砍不知道我高興我就不砍我不高興你就砍下來
transcript.whisperx[69].start 1592.95
transcript.whisperx[69].end 1618.961
transcript.whisperx[69].text 那你叫人民未來何去何從他要怎麼樣無所適從你懂我意思嗎我們就是要避免這種大刀架在我們脖子上不是你現在是別人的大刀架在我們頭上沒錯那我們自己又拿了一把大刀又壓在我們人民身上不是嗎沒有我們沒有把大刀壓在自己身上所以我覺得你們的政策既然要做講清楚跟人民講清楚你未來要怎麼樣這樣可以嗎
transcript.whisperx[70].start 1620.161
transcript.whisperx[70].end 1644.967
transcript.whisperx[70].text 總統在3月13號的財事當中這17項是非常清楚的只是我們一一要把它落實到部會裡面去當這個完善的周延的計畫出來之後會不會就具以執行那時候再請委員執照跟支持那我再來問台積電赴美投資我們這邊說是1000億美金川普說是2000億這個你們掌握的到底是多少
transcript.whisperx[71].start 1646.696
transcript.whisperx[71].end 1670.959
transcript.whisperx[71].text 我們所知道是原來就已經有650億再加上1000億是這個1650億院長跟我們的總統也都說過要跟留台灣要把台積電最先進的製程留在台灣但是投審會說那個N1的規定只有針對中國其他地方是沒設限的對吧
transcript.whisperx[72].start 1673.146
transcript.whisperx[72].end 1683.676
transcript.whisperx[72].text 報告委員台積電我們當然是尊重他的投資規劃魏哲嘉董事長也表明台積電對台灣的投資是不變的
transcript.whisperx[73].start 1684.795
transcript.whisperx[73].end 1707.061
transcript.whisperx[73].text 像是高雄的兩奈米廠、嘉義先進的封裝廠這些投資都不會改變未來也會持續擴大的投資對台灣的半導體業來講仍然是全球最完善的半導體供應體系我知道你未來是怎麼管控這個高階技術、高階人才不會過去
transcript.whisperx[74].start 1708.202
transcript.whisperx[74].end 1734.514
transcript.whisperx[74].text 過幾天不是他們州長要過來嗎他們到美國去投資必須要經過經濟部的投審會的許可所以我們會堅持把最新的技術留在台留在這個國內那這個裡面當然你怎麼堅持是最新你們剛剛講了我記得部長前幾天有講過就是說最新的技術明年是1.6奈米是不會過去嘛對不對
transcript.whisperx[75].start 1737.198
transcript.whisperx[75].end 1754.369
transcript.whisperx[75].text 台積電他們現在會開始開發1.6奈米的技術但是這個技術還沒有到生產線還沒有辦法到生產線所以我相信他在美國他要生產線上面要去布局1.6奈米這個是
transcript.whisperx[76].start 1756.61
transcript.whisperx[76].end 1774.498
transcript.whisperx[76].text 不夠內行的說法也不夠專業的這個說法所以就是不會去嘛所以他會去的一定是在國內已經有成績的這個部分才會過去我們每年到那個台積電的他的
transcript.whisperx[77].start 1775.635
transcript.whisperx[77].end 1795.844
transcript.whisperx[77].text 基本支出是大概381到420億美元如果美國的這個設置工廠它要到這個1000億美元的話我們算過大概一年要250億美元那會影響我們台灣的這個整個的進度嗎?這個不會你保證不會?你說一年會有一個廠嗎?對吧?
transcript.whisperx[78].start 1797.386
transcript.whisperx[78].end 1819.811
transcript.whisperx[78].text 他不會影響這個是台積電他到美國也是他全球佈局的一個部分他主要是要接近他美國的客戶那麼這個美國的客戶呢比較先進的這個製程都在美國所以他台積電去那裡呢主要是服務他的客戶好時間也到了啦好謝謝院長謝謝謝謝委員謝謝邱正軍委員質詢也謝謝卓院長相關部會首長的備詢報案會現在議場