iVOD / 164468

Field Value
IVOD_ID 164468
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164468
日期 2025-10-21
會議資料.會議代碼 院會-11-4-5
會議資料.會議代碼:str 第11屆第4會期第5次會議
會議資料.屆 11
會議資料.會期 4
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4會期第5次會議
影片種類 Clip
開始時間 2025-10-21T09:17:48+08:00
結束時間 2025-10-21T09:49:36+08:00
影片長度 00:31:48
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ad817af50721993f6d59fb2e17274568ed3e39e9a6cc0a6183c966d97180d5d2d104b08215f3295d5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 洪孟楷
委員發言時間 09:17:48 - 09:49:36
會議時間 2025-10-21T09:00:00+08:00
會議名稱 第11屆第4會期第5次會議(事由:一、討論事項:本院財政、內政、外交及國防、經濟、教育及文化、社會福利及衛生環境六委員會報告審查行政院函請審議「中央政府因應國際情勢強化經濟社會及民生國安韌性特別預算案」案等案。(10月17日)二、10月17日上午9時至10時為國是論壇時間。三、對行政院院長施政報告繼續質詢。(10月21日))
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 1.38096875
transcript.pyannote[1].speaker SPEAKER_06
transcript.pyannote[1].start 4.03034375
transcript.pyannote[1].end 4.82346875
transcript.pyannote[2].speaker SPEAKER_06
transcript.pyannote[2].start 16.11284375
transcript.pyannote[2].end 18.13784375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 18.39096875
transcript.pyannote[3].end 19.84221875
transcript.pyannote[4].speaker SPEAKER_06
transcript.pyannote[4].start 20.12909375
transcript.pyannote[4].end 25.63034375
transcript.pyannote[5].speaker SPEAKER_06
transcript.pyannote[5].start 32.29596875
transcript.pyannote[5].end 40.05846875
transcript.pyannote[6].speaker SPEAKER_05
transcript.pyannote[6].start 39.26534375
transcript.pyannote[6].end 39.50159375
transcript.pyannote[7].speaker SPEAKER_07
transcript.pyannote[7].start 39.50159375
transcript.pyannote[7].end 39.72096875
transcript.pyannote[8].speaker SPEAKER_06
transcript.pyannote[8].start 40.31159375
transcript.pyannote[8].end 48.59721875
transcript.pyannote[9].speaker SPEAKER_06
transcript.pyannote[9].start 48.79971875
transcript.pyannote[9].end 50.57159375
transcript.pyannote[10].speaker SPEAKER_06
transcript.pyannote[10].start 50.80784375
transcript.pyannote[10].end 54.63846875
transcript.pyannote[11].speaker SPEAKER_06
transcript.pyannote[11].start 55.16159375
transcript.pyannote[11].end 56.03909375
transcript.pyannote[12].speaker SPEAKER_06
transcript.pyannote[12].start 56.37659375
transcript.pyannote[12].end 59.56596875
transcript.pyannote[13].speaker SPEAKER_06
transcript.pyannote[13].start 59.70096875
transcript.pyannote[13].end 68.44221875
transcript.pyannote[14].speaker SPEAKER_06
transcript.pyannote[14].start 69.38721875
transcript.pyannote[14].end 70.82159375
transcript.pyannote[15].speaker SPEAKER_06
transcript.pyannote[15].start 71.15909375
transcript.pyannote[15].end 76.69409375
transcript.pyannote[16].speaker SPEAKER_06
transcript.pyannote[16].start 77.38596875
transcript.pyannote[16].end 78.31409375
transcript.pyannote[17].speaker SPEAKER_06
transcript.pyannote[17].start 79.07346875
transcript.pyannote[17].end 79.96784375
transcript.pyannote[18].speaker SPEAKER_05
transcript.pyannote[18].start 79.96784375
transcript.pyannote[18].end 80.69346875
transcript.pyannote[19].speaker SPEAKER_06
transcript.pyannote[19].start 81.08159375
transcript.pyannote[19].end 82.76909375
transcript.pyannote[20].speaker SPEAKER_06
transcript.pyannote[20].start 83.25846875
transcript.pyannote[20].end 85.09784375
transcript.pyannote[21].speaker SPEAKER_05
transcript.pyannote[21].start 85.87409375
transcript.pyannote[21].end 87.91596875
transcript.pyannote[22].speaker SPEAKER_05
transcript.pyannote[22].start 88.40534375
transcript.pyannote[22].end 89.40096875
transcript.pyannote[23].speaker SPEAKER_05
transcript.pyannote[23].start 89.68784375
transcript.pyannote[23].end 90.34596875
transcript.pyannote[24].speaker SPEAKER_05
transcript.pyannote[24].start 90.59909375
transcript.pyannote[24].end 93.09659375
transcript.pyannote[25].speaker SPEAKER_05
transcript.pyannote[25].start 93.34971875
transcript.pyannote[25].end 97.46721875
transcript.pyannote[26].speaker SPEAKER_06
transcript.pyannote[26].start 97.56846875
transcript.pyannote[26].end 121.90221875
transcript.pyannote[27].speaker SPEAKER_06
transcript.pyannote[27].start 122.34096875
transcript.pyannote[27].end 125.68221875
transcript.pyannote[28].speaker SPEAKER_06
transcript.pyannote[28].start 126.32346875
transcript.pyannote[28].end 127.06596875
transcript.pyannote[29].speaker SPEAKER_06
transcript.pyannote[29].start 127.50471875
transcript.pyannote[29].end 133.03971875
transcript.pyannote[30].speaker SPEAKER_06
transcript.pyannote[30].start 133.51221875
transcript.pyannote[30].end 134.52471875
transcript.pyannote[31].speaker SPEAKER_05
transcript.pyannote[31].start 135.87471875
transcript.pyannote[31].end 138.00096875
transcript.pyannote[32].speaker SPEAKER_05
transcript.pyannote[32].start 138.47346875
transcript.pyannote[32].end 141.30846875
transcript.pyannote[33].speaker SPEAKER_06
transcript.pyannote[33].start 140.54909375
transcript.pyannote[33].end 142.72596875
transcript.pyannote[34].speaker SPEAKER_05
transcript.pyannote[34].start 142.82721875
transcript.pyannote[34].end 145.24034375
transcript.pyannote[35].speaker SPEAKER_06
transcript.pyannote[35].start 145.74659375
transcript.pyannote[35].end 152.42909375
transcript.pyannote[36].speaker SPEAKER_06
transcript.pyannote[36].start 153.01971875
transcript.pyannote[36].end 157.81221875
transcript.pyannote[37].speaker SPEAKER_06
transcript.pyannote[37].start 158.52096875
transcript.pyannote[37].end 158.94284375
transcript.pyannote[38].speaker SPEAKER_06
transcript.pyannote[38].start 159.17909375
transcript.pyannote[38].end 161.59221875
transcript.pyannote[39].speaker SPEAKER_06
transcript.pyannote[39].start 162.19971875
transcript.pyannote[39].end 163.04346875
transcript.pyannote[40].speaker SPEAKER_06
transcript.pyannote[40].start 163.27971875
transcript.pyannote[40].end 163.48221875
transcript.pyannote[41].speaker SPEAKER_06
transcript.pyannote[41].start 163.87034375
transcript.pyannote[41].end 168.91596875
transcript.pyannote[42].speaker SPEAKER_06
transcript.pyannote[42].start 169.45596875
transcript.pyannote[42].end 170.01284375
transcript.pyannote[43].speaker SPEAKER_06
transcript.pyannote[43].start 170.46846875
transcript.pyannote[43].end 170.99159375
transcript.pyannote[44].speaker SPEAKER_06
transcript.pyannote[44].start 171.41346875
transcript.pyannote[44].end 175.39596875
transcript.pyannote[45].speaker SPEAKER_06
transcript.pyannote[45].start 175.85159375
transcript.pyannote[45].end 176.71221875
transcript.pyannote[46].speaker SPEAKER_06
transcript.pyannote[46].start 176.77971875
transcript.pyannote[46].end 186.34784375
transcript.pyannote[47].speaker SPEAKER_06
transcript.pyannote[47].start 187.05659375
transcript.pyannote[47].end 189.48659375
transcript.pyannote[48].speaker SPEAKER_06
transcript.pyannote[48].start 189.84096875
transcript.pyannote[48].end 191.15721875
transcript.pyannote[49].speaker SPEAKER_06
transcript.pyannote[49].start 191.51159375
transcript.pyannote[49].end 193.43534375
transcript.pyannote[50].speaker SPEAKER_06
transcript.pyannote[50].start 193.90784375
transcript.pyannote[50].end 194.29596875
transcript.pyannote[51].speaker SPEAKER_06
transcript.pyannote[51].start 194.86971875
transcript.pyannote[51].end 198.44721875
transcript.pyannote[52].speaker SPEAKER_05
transcript.pyannote[52].start 198.83534375
transcript.pyannote[52].end 208.43721875
transcript.pyannote[53].speaker SPEAKER_06
transcript.pyannote[53].start 204.50534375
transcript.pyannote[53].end 204.96096875
transcript.pyannote[54].speaker SPEAKER_05
transcript.pyannote[54].start 208.57221875
transcript.pyannote[54].end 213.29721875
transcript.pyannote[55].speaker SPEAKER_05
transcript.pyannote[55].start 213.70221875
transcript.pyannote[55].end 215.62596875
transcript.pyannote[56].speaker SPEAKER_05
transcript.pyannote[56].start 215.89596875
transcript.pyannote[56].end 219.37221875
transcript.pyannote[57].speaker SPEAKER_05
transcript.pyannote[57].start 219.57471875
transcript.pyannote[57].end 222.15659375
transcript.pyannote[58].speaker SPEAKER_05
transcript.pyannote[58].start 222.64596875
transcript.pyannote[58].end 223.15221875
transcript.pyannote[59].speaker SPEAKER_05
transcript.pyannote[59].start 223.67534375
transcript.pyannote[59].end 228.80534375
transcript.pyannote[60].speaker SPEAKER_06
transcript.pyannote[60].start 228.88971875
transcript.pyannote[60].end 264.73221875
transcript.pyannote[61].speaker SPEAKER_06
transcript.pyannote[61].start 264.85034375
transcript.pyannote[61].end 266.84159375
transcript.pyannote[62].speaker SPEAKER_06
transcript.pyannote[62].start 267.93846875
transcript.pyannote[62].end 267.95534375
transcript.pyannote[63].speaker SPEAKER_05
transcript.pyannote[63].start 267.95534375
transcript.pyannote[63].end 270.92534375
transcript.pyannote[64].speaker SPEAKER_05
transcript.pyannote[64].start 271.33034375
transcript.pyannote[64].end 274.01346875
transcript.pyannote[65].speaker SPEAKER_05
transcript.pyannote[65].start 274.24971875
transcript.pyannote[65].end 277.35471875
transcript.pyannote[66].speaker SPEAKER_05
transcript.pyannote[66].start 277.96221875
transcript.pyannote[66].end 281.15159375
transcript.pyannote[67].speaker SPEAKER_05
transcript.pyannote[67].start 281.74221875
transcript.pyannote[67].end 285.91034375
transcript.pyannote[68].speaker SPEAKER_05
transcript.pyannote[68].start 286.31534375
transcript.pyannote[68].end 289.55534375
transcript.pyannote[69].speaker SPEAKER_06
transcript.pyannote[69].start 289.55534375
transcript.pyannote[69].end 299.41034375
transcript.pyannote[70].speaker SPEAKER_05
transcript.pyannote[70].start 290.92221875
transcript.pyannote[70].end 292.55909375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 299.78159375
transcript.pyannote[71].end 300.20346875
transcript.pyannote[72].speaker SPEAKER_06
transcript.pyannote[72].start 300.01784375
transcript.pyannote[72].end 305.75534375
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 306.00846875
transcript.pyannote[73].end 312.18471875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 312.45471875
transcript.pyannote[74].end 320.50409375
transcript.pyannote[75].speaker SPEAKER_06
transcript.pyannote[75].start 315.89721875
transcript.pyannote[75].end 317.73659375
transcript.pyannote[76].speaker SPEAKER_06
transcript.pyannote[76].start 318.37784375
transcript.pyannote[76].end 321.66846875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 322.29284375
transcript.pyannote[77].end 324.63846875
transcript.pyannote[78].speaker SPEAKER_06
transcript.pyannote[78].start 323.22096875
transcript.pyannote[78].end 323.89596875
transcript.pyannote[79].speaker SPEAKER_06
transcript.pyannote[79].start 324.89159375
transcript.pyannote[79].end 325.97159375
transcript.pyannote[80].speaker SPEAKER_05
transcript.pyannote[80].start 325.97159375
transcript.pyannote[80].end 330.69659375
transcript.pyannote[81].speaker SPEAKER_06
transcript.pyannote[81].start 330.84846875
transcript.pyannote[81].end 336.73784375
transcript.pyannote[82].speaker SPEAKER_05
transcript.pyannote[82].start 337.09221875
transcript.pyannote[82].end 342.18846875
transcript.pyannote[83].speaker SPEAKER_06
transcript.pyannote[83].start 342.18846875
transcript.pyannote[83].end 342.96471875
transcript.pyannote[84].speaker SPEAKER_05
transcript.pyannote[84].start 342.20534375
transcript.pyannote[84].end 343.18409375
transcript.pyannote[85].speaker SPEAKER_06
transcript.pyannote[85].start 343.45409375
transcript.pyannote[85].end 346.44096875
transcript.pyannote[86].speaker SPEAKER_06
transcript.pyannote[86].start 347.92596875
transcript.pyannote[86].end 349.51221875
transcript.pyannote[87].speaker SPEAKER_06
transcript.pyannote[87].start 350.13659375
transcript.pyannote[87].end 351.25034375
transcript.pyannote[88].speaker SPEAKER_06
transcript.pyannote[88].start 351.95909375
transcript.pyannote[88].end 353.89971875
transcript.pyannote[89].speaker SPEAKER_06
transcript.pyannote[89].start 354.55784375
transcript.pyannote[89].end 355.06409375
transcript.pyannote[90].speaker SPEAKER_06
transcript.pyannote[90].start 355.45221875
transcript.pyannote[90].end 357.69659375
transcript.pyannote[91].speaker SPEAKER_06
transcript.pyannote[91].start 358.99596875
transcript.pyannote[91].end 363.82221875
transcript.pyannote[92].speaker SPEAKER_06
transcript.pyannote[92].start 363.97409375
transcript.pyannote[92].end 369.07034375
transcript.pyannote[93].speaker SPEAKER_06
transcript.pyannote[93].start 369.42471875
transcript.pyannote[93].end 373.62659375
transcript.pyannote[94].speaker SPEAKER_06
transcript.pyannote[94].start 373.98096875
transcript.pyannote[94].end 378.11534375
transcript.pyannote[95].speaker SPEAKER_06
transcript.pyannote[95].start 378.48659375
transcript.pyannote[95].end 382.87409375
transcript.pyannote[96].speaker SPEAKER_06
transcript.pyannote[96].start 383.48159375
transcript.pyannote[96].end 385.38846875
transcript.pyannote[97].speaker SPEAKER_06
transcript.pyannote[97].start 385.77659375
transcript.pyannote[97].end 386.92409375
transcript.pyannote[98].speaker SPEAKER_06
transcript.pyannote[98].start 388.54409375
transcript.pyannote[98].end 398.77034375
transcript.pyannote[99].speaker SPEAKER_05
transcript.pyannote[99].start 400.30596875
transcript.pyannote[99].end 404.65971875
transcript.pyannote[100].speaker SPEAKER_05
transcript.pyannote[100].start 405.33471875
transcript.pyannote[100].end 406.19534375
transcript.pyannote[101].speaker SPEAKER_05
transcript.pyannote[101].start 406.54971875
transcript.pyannote[101].end 408.97971875
transcript.pyannote[102].speaker SPEAKER_05
transcript.pyannote[102].start 409.36784375
transcript.pyannote[102].end 411.51096875
transcript.pyannote[103].speaker SPEAKER_06
transcript.pyannote[103].start 411.71346875
transcript.pyannote[103].end 412.74284375
transcript.pyannote[104].speaker SPEAKER_06
transcript.pyannote[104].start 412.84409375
transcript.pyannote[104].end 414.09284375
transcript.pyannote[105].speaker SPEAKER_05
transcript.pyannote[105].start 414.21096875
transcript.pyannote[105].end 415.86471875
transcript.pyannote[106].speaker SPEAKER_06
transcript.pyannote[106].start 415.54409375
transcript.pyannote[106].end 418.00784375
transcript.pyannote[107].speaker SPEAKER_05
transcript.pyannote[107].start 417.72096875
transcript.pyannote[107].end 427.96409375
transcript.pyannote[108].speaker SPEAKER_06
transcript.pyannote[108].start 420.96096875
transcript.pyannote[108].end 421.18034375
transcript.pyannote[109].speaker SPEAKER_05
transcript.pyannote[109].start 428.47034375
transcript.pyannote[109].end 429.36471875
transcript.pyannote[110].speaker SPEAKER_05
transcript.pyannote[110].start 430.12409375
transcript.pyannote[110].end 431.86221875
transcript.pyannote[111].speaker SPEAKER_05
transcript.pyannote[111].start 431.96346875
transcript.pyannote[111].end 433.68471875
transcript.pyannote[112].speaker SPEAKER_06
transcript.pyannote[112].start 432.72284375
transcript.pyannote[112].end 434.24159375
transcript.pyannote[113].speaker SPEAKER_05
transcript.pyannote[113].start 434.66346875
transcript.pyannote[113].end 436.09784375
transcript.pyannote[114].speaker SPEAKER_06
transcript.pyannote[114].start 435.42284375
transcript.pyannote[114].end 444.43409375
transcript.pyannote[115].speaker SPEAKER_06
transcript.pyannote[115].start 444.87284375
transcript.pyannote[115].end 455.41971875
transcript.pyannote[116].speaker SPEAKER_06
transcript.pyannote[116].start 456.24659375
transcript.pyannote[116].end 463.50284375
transcript.pyannote[117].speaker SPEAKER_06
transcript.pyannote[117].start 463.92471875
transcript.pyannote[117].end 471.70409375
transcript.pyannote[118].speaker SPEAKER_06
transcript.pyannote[118].start 471.95721875
transcript.pyannote[118].end 475.55159375
transcript.pyannote[119].speaker SPEAKER_04
transcript.pyannote[119].start 476.17596875
transcript.pyannote[119].end 486.48659375
transcript.pyannote[120].speaker SPEAKER_06
transcript.pyannote[120].start 486.48659375
transcript.pyannote[120].end 502.60221875
transcript.pyannote[121].speaker SPEAKER_04
transcript.pyannote[121].start 486.50346875
transcript.pyannote[121].end 488.25846875
transcript.pyannote[122].speaker SPEAKER_06
transcript.pyannote[122].start 502.97346875
transcript.pyannote[122].end 510.90471875
transcript.pyannote[123].speaker SPEAKER_06
transcript.pyannote[123].start 511.91721875
transcript.pyannote[123].end 522.04221875
transcript.pyannote[124].speaker SPEAKER_06
transcript.pyannote[124].start 522.68346875
transcript.pyannote[124].end 523.15596875
transcript.pyannote[125].speaker SPEAKER_06
transcript.pyannote[125].start 523.25721875
transcript.pyannote[125].end 540.25034375
transcript.pyannote[126].speaker SPEAKER_06
transcript.pyannote[126].start 541.09409375
transcript.pyannote[126].end 542.62971875
transcript.pyannote[127].speaker SPEAKER_06
transcript.pyannote[127].start 543.15284375
transcript.pyannote[127].end 544.55346875
transcript.pyannote[128].speaker SPEAKER_07
transcript.pyannote[128].start 545.14409375
transcript.pyannote[128].end 545.17784375
transcript.pyannote[129].speaker SPEAKER_06
transcript.pyannote[129].start 545.17784375
transcript.pyannote[129].end 545.19471875
transcript.pyannote[130].speaker SPEAKER_07
transcript.pyannote[130].start 545.19471875
transcript.pyannote[130].end 545.21159375
transcript.pyannote[131].speaker SPEAKER_06
transcript.pyannote[131].start 545.21159375
transcript.pyannote[131].end 555.58971875
transcript.pyannote[132].speaker SPEAKER_06
transcript.pyannote[132].start 556.04534375
transcript.pyannote[132].end 556.70346875
transcript.pyannote[133].speaker SPEAKER_06
transcript.pyannote[133].start 557.09159375
transcript.pyannote[133].end 559.30221875
transcript.pyannote[134].speaker SPEAKER_06
transcript.pyannote[134].start 560.43284375
transcript.pyannote[134].end 560.87159375
transcript.pyannote[135].speaker SPEAKER_05
transcript.pyannote[135].start 561.91784375
transcript.pyannote[135].end 562.81221875
transcript.pyannote[136].speaker SPEAKER_05
transcript.pyannote[136].start 563.90909375
transcript.pyannote[136].end 573.46034375
transcript.pyannote[137].speaker SPEAKER_06
transcript.pyannote[137].start 565.71471875
transcript.pyannote[137].end 566.20409375
transcript.pyannote[138].speaker SPEAKER_06
transcript.pyannote[138].start 566.67659375
transcript.pyannote[138].end 567.73971875
transcript.pyannote[139].speaker SPEAKER_05
transcript.pyannote[139].start 573.69659375
transcript.pyannote[139].end 574.50659375
transcript.pyannote[140].speaker SPEAKER_05
transcript.pyannote[140].start 574.67534375
transcript.pyannote[140].end 579.95721875
transcript.pyannote[141].speaker SPEAKER_06
transcript.pyannote[141].start 578.80971875
transcript.pyannote[141].end 579.97409375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 579.95721875
transcript.pyannote[142].end 580.78409375
transcript.pyannote[143].speaker SPEAKER_05
transcript.pyannote[143].start 579.97409375
transcript.pyannote[143].end 579.99096875
transcript.pyannote[144].speaker SPEAKER_06
transcript.pyannote[144].start 579.99096875
transcript.pyannote[144].end 580.00784375
transcript.pyannote[145].speaker SPEAKER_05
transcript.pyannote[145].start 580.00784375
transcript.pyannote[145].end 580.02471875
transcript.pyannote[146].speaker SPEAKER_06
transcript.pyannote[146].start 580.02471875
transcript.pyannote[146].end 581.37471875
transcript.pyannote[147].speaker SPEAKER_05
transcript.pyannote[147].start 580.78409375
transcript.pyannote[147].end 582.74159375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 581.37471875
transcript.pyannote[148].end 587.75346875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 587.83784375
transcript.pyannote[149].end 589.59284375
transcript.pyannote[150].speaker SPEAKER_05
transcript.pyannote[150].start 588.37784375
transcript.pyannote[150].end 589.50846875
transcript.pyannote[151].speaker SPEAKER_05
transcript.pyannote[151].start 589.59284375
transcript.pyannote[151].end 589.67721875
transcript.pyannote[152].speaker SPEAKER_05
transcript.pyannote[152].start 590.35221875
transcript.pyannote[152].end 593.38971875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 592.96784375
transcript.pyannote[153].end 593.03534375
transcript.pyannote[154].speaker SPEAKER_06
transcript.pyannote[154].start 593.03534375
transcript.pyannote[154].end 604.15596875
transcript.pyannote[155].speaker SPEAKER_05
transcript.pyannote[155].start 603.59909375
transcript.pyannote[155].end 607.59846875
transcript.pyannote[156].speaker SPEAKER_06
transcript.pyannote[156].start 606.28221875
transcript.pyannote[156].end 612.12096875
transcript.pyannote[157].speaker SPEAKER_05
transcript.pyannote[157].start 608.71221875
transcript.pyannote[157].end 619.69784375
transcript.pyannote[158].speaker SPEAKER_05
transcript.pyannote[158].start 620.20409375
transcript.pyannote[158].end 626.90346875
transcript.pyannote[159].speaker SPEAKER_05
transcript.pyannote[159].start 627.47721875
transcript.pyannote[159].end 630.46409375
transcript.pyannote[160].speaker SPEAKER_06
transcript.pyannote[160].start 630.07596875
transcript.pyannote[160].end 635.81346875
transcript.pyannote[161].speaker SPEAKER_06
transcript.pyannote[161].start 636.35346875
transcript.pyannote[161].end 639.34034375
transcript.pyannote[162].speaker SPEAKER_06
transcript.pyannote[162].start 639.74534375
transcript.pyannote[162].end 641.11221875
transcript.pyannote[163].speaker SPEAKER_06
transcript.pyannote[163].start 641.88846875
transcript.pyannote[163].end 644.70659375
transcript.pyannote[164].speaker SPEAKER_05
transcript.pyannote[164].start 642.90096875
transcript.pyannote[164].end 642.93471875
transcript.pyannote[165].speaker SPEAKER_05
transcript.pyannote[165].start 643.77846875
transcript.pyannote[165].end 646.05659375
transcript.pyannote[166].speaker SPEAKER_06
transcript.pyannote[166].start 646.05659375
transcript.pyannote[166].end 653.17784375
transcript.pyannote[167].speaker SPEAKER_05
transcript.pyannote[167].start 647.06909375
transcript.pyannote[167].end 647.50784375
transcript.pyannote[168].speaker SPEAKER_05
transcript.pyannote[168].start 652.62096875
transcript.pyannote[168].end 656.45159375
transcript.pyannote[169].speaker SPEAKER_06
transcript.pyannote[169].start 655.67534375
transcript.pyannote[169].end 658.02096875
transcript.pyannote[170].speaker SPEAKER_05
transcript.pyannote[170].start 657.91971875
transcript.pyannote[170].end 657.93659375
transcript.pyannote[171].speaker SPEAKER_05
transcript.pyannote[171].start 657.95346875
transcript.pyannote[171].end 661.19346875
transcript.pyannote[172].speaker SPEAKER_06
transcript.pyannote[172].start 658.03784375
transcript.pyannote[172].end 658.79721875
transcript.pyannote[173].speaker SPEAKER_06
transcript.pyannote[173].start 659.69159375
transcript.pyannote[173].end 661.04159375
transcript.pyannote[174].speaker SPEAKER_06
transcript.pyannote[174].start 661.19346875
transcript.pyannote[174].end 662.20596875
transcript.pyannote[175].speaker SPEAKER_05
transcript.pyannote[175].start 662.20596875
transcript.pyannote[175].end 667.58909375
transcript.pyannote[176].speaker SPEAKER_06
transcript.pyannote[176].start 662.23971875
transcript.pyannote[176].end 662.98221875
transcript.pyannote[177].speaker SPEAKER_06
transcript.pyannote[177].start 666.71159375
transcript.pyannote[177].end 667.53846875
transcript.pyannote[178].speaker SPEAKER_06
transcript.pyannote[178].start 667.58909375
transcript.pyannote[178].end 672.26346875
transcript.pyannote[179].speaker SPEAKER_05
transcript.pyannote[179].start 670.40721875
transcript.pyannote[179].end 672.55034375
transcript.pyannote[180].speaker SPEAKER_06
transcript.pyannote[180].start 672.55034375
transcript.pyannote[180].end 672.56721875
transcript.pyannote[181].speaker SPEAKER_05
transcript.pyannote[181].start 672.56721875
transcript.pyannote[181].end 672.60096875
transcript.pyannote[182].speaker SPEAKER_06
transcript.pyannote[182].start 672.60096875
transcript.pyannote[182].end 672.75284375
transcript.pyannote[183].speaker SPEAKER_05
transcript.pyannote[183].start 672.75284375
transcript.pyannote[183].end 672.87096875
transcript.pyannote[184].speaker SPEAKER_06
transcript.pyannote[184].start 672.87096875
transcript.pyannote[184].end 672.93846875
transcript.pyannote[185].speaker SPEAKER_05
transcript.pyannote[185].start 672.93846875
transcript.pyannote[185].end 672.95534375
transcript.pyannote[186].speaker SPEAKER_06
transcript.pyannote[186].start 672.95534375
transcript.pyannote[186].end 673.00596875
transcript.pyannote[187].speaker SPEAKER_05
transcript.pyannote[187].start 673.00596875
transcript.pyannote[187].end 673.10721875
transcript.pyannote[188].speaker SPEAKER_06
transcript.pyannote[188].start 673.10721875
transcript.pyannote[188].end 673.15784375
transcript.pyannote[189].speaker SPEAKER_05
transcript.pyannote[189].start 673.15784375
transcript.pyannote[189].end 673.17471875
transcript.pyannote[190].speaker SPEAKER_06
transcript.pyannote[190].start 673.17471875
transcript.pyannote[190].end 673.22534375
transcript.pyannote[191].speaker SPEAKER_05
transcript.pyannote[191].start 673.22534375
transcript.pyannote[191].end 676.41471875
transcript.pyannote[192].speaker SPEAKER_05
transcript.pyannote[192].start 676.63409375
transcript.pyannote[192].end 678.70971875
transcript.pyannote[193].speaker SPEAKER_05
transcript.pyannote[193].start 679.16534375
transcript.pyannote[193].end 679.97534375
transcript.pyannote[194].speaker SPEAKER_06
transcript.pyannote[194].start 679.97534375
transcript.pyannote[194].end 688.63221875
transcript.pyannote[195].speaker SPEAKER_05
transcript.pyannote[195].start 679.99221875
transcript.pyannote[195].end 680.97096875
transcript.pyannote[196].speaker SPEAKER_05
transcript.pyannote[196].start 683.04659375
transcript.pyannote[196].end 683.50221875
transcript.pyannote[197].speaker SPEAKER_05
transcript.pyannote[197].start 684.24471875
transcript.pyannote[197].end 684.85221875
transcript.pyannote[198].speaker SPEAKER_05
transcript.pyannote[198].start 685.34159375
transcript.pyannote[198].end 685.74659375
transcript.pyannote[199].speaker SPEAKER_06
transcript.pyannote[199].start 689.71221875
transcript.pyannote[199].end 690.60659375
transcript.pyannote[200].speaker SPEAKER_06
transcript.pyannote[200].start 691.51784375
transcript.pyannote[200].end 703.12784375
transcript.pyannote[201].speaker SPEAKER_07
transcript.pyannote[201].start 695.04471875
transcript.pyannote[201].end 695.21346875
transcript.pyannote[202].speaker SPEAKER_06
transcript.pyannote[202].start 703.41471875
transcript.pyannote[202].end 707.05971875
transcript.pyannote[203].speaker SPEAKER_06
transcript.pyannote[203].start 707.61659375
transcript.pyannote[203].end 708.22409375
transcript.pyannote[204].speaker SPEAKER_06
transcript.pyannote[204].start 709.72596875
transcript.pyannote[204].end 711.24471875
transcript.pyannote[205].speaker SPEAKER_05
transcript.pyannote[205].start 712.66221875
transcript.pyannote[205].end 725.57159375
transcript.pyannote[206].speaker SPEAKER_06
transcript.pyannote[206].start 713.37096875
transcript.pyannote[206].end 713.70846875
transcript.pyannote[207].speaker SPEAKER_06
transcript.pyannote[207].start 716.34096875
transcript.pyannote[207].end 716.72909375
transcript.pyannote[208].speaker SPEAKER_06
transcript.pyannote[208].start 723.86721875
transcript.pyannote[208].end 728.60909375
transcript.pyannote[209].speaker SPEAKER_06
transcript.pyannote[209].start 729.19971875
transcript.pyannote[209].end 729.62159375
transcript.pyannote[210].speaker SPEAKER_06
transcript.pyannote[210].start 729.95909375
transcript.pyannote[210].end 734.61659375
transcript.pyannote[211].speaker SPEAKER_05
transcript.pyannote[211].start 730.34721875
transcript.pyannote[211].end 730.97159375
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 730.97159375
transcript.pyannote[212].end 732.01784375
transcript.pyannote[213].speaker SPEAKER_06
transcript.pyannote[213].start 734.86971875
transcript.pyannote[213].end 749.63534375
transcript.pyannote[214].speaker SPEAKER_06
transcript.pyannote[214].start 750.59721875
transcript.pyannote[214].end 754.39409375
transcript.pyannote[215].speaker SPEAKER_06
transcript.pyannote[215].start 754.73159375
transcript.pyannote[215].end 763.86096875
transcript.pyannote[216].speaker SPEAKER_06
transcript.pyannote[216].start 764.28284375
transcript.pyannote[216].end 764.97471875
transcript.pyannote[217].speaker SPEAKER_05
transcript.pyannote[217].start 764.97471875
transcript.pyannote[217].end 765.26159375
transcript.pyannote[218].speaker SPEAKER_05
transcript.pyannote[218].start 766.02096875
transcript.pyannote[218].end 768.77159375
transcript.pyannote[219].speaker SPEAKER_05
transcript.pyannote[219].start 769.29471875
transcript.pyannote[219].end 772.26471875
transcript.pyannote[220].speaker SPEAKER_05
transcript.pyannote[220].start 772.55159375
transcript.pyannote[220].end 779.68971875
transcript.pyannote[221].speaker SPEAKER_06
transcript.pyannote[221].start 774.99846875
transcript.pyannote[221].end 776.66909375
transcript.pyannote[222].speaker SPEAKER_06
transcript.pyannote[222].start 778.03596875
transcript.pyannote[222].end 797.93159375
transcript.pyannote[223].speaker SPEAKER_06
transcript.pyannote[223].start 798.48846875
transcript.pyannote[223].end 803.11221875
transcript.pyannote[224].speaker SPEAKER_05
transcript.pyannote[224].start 801.89721875
transcript.pyannote[224].end 803.53409375
transcript.pyannote[225].speaker SPEAKER_06
transcript.pyannote[225].start 803.34846875
transcript.pyannote[225].end 816.35909375
transcript.pyannote[226].speaker SPEAKER_04
transcript.pyannote[226].start 816.35909375
transcript.pyannote[226].end 823.64909375
transcript.pyannote[227].speaker SPEAKER_06
transcript.pyannote[227].start 823.12596875
transcript.pyannote[227].end 825.23534375
transcript.pyannote[228].speaker SPEAKER_04
transcript.pyannote[228].start 824.42534375
transcript.pyannote[228].end 828.86346875
transcript.pyannote[229].speaker SPEAKER_06
transcript.pyannote[229].start 829.16721875
transcript.pyannote[229].end 833.97659375
transcript.pyannote[230].speaker SPEAKER_04
transcript.pyannote[230].start 833.97659375
transcript.pyannote[230].end 834.12846875
transcript.pyannote[231].speaker SPEAKER_06
transcript.pyannote[231].start 834.12846875
transcript.pyannote[231].end 834.17909375
transcript.pyannote[232].speaker SPEAKER_04
transcript.pyannote[232].start 834.17909375
transcript.pyannote[232].end 836.45721875
transcript.pyannote[233].speaker SPEAKER_06
transcript.pyannote[233].start 835.39409375
transcript.pyannote[233].end 836.25471875
transcript.pyannote[234].speaker SPEAKER_06
transcript.pyannote[234].start 836.45721875
transcript.pyannote[234].end 837.16596875
transcript.pyannote[235].speaker SPEAKER_04
transcript.pyannote[235].start 837.53721875
transcript.pyannote[235].end 847.88159375
transcript.pyannote[236].speaker SPEAKER_06
transcript.pyannote[236].start 843.10596875
transcript.pyannote[236].end 850.81784375
transcript.pyannote[237].speaker SPEAKER_04
transcript.pyannote[237].start 849.56909375
transcript.pyannote[237].end 865.46534375
transcript.pyannote[238].speaker SPEAKER_06
transcript.pyannote[238].start 858.24284375
transcript.pyannote[238].end 859.40721875
transcript.pyannote[239].speaker SPEAKER_06
transcript.pyannote[239].start 859.50846875
transcript.pyannote[239].end 867.55784375
transcript.pyannote[240].speaker SPEAKER_06
transcript.pyannote[240].start 868.19909375
transcript.pyannote[240].end 868.67159375
transcript.pyannote[241].speaker SPEAKER_06
transcript.pyannote[241].start 869.26221875
transcript.pyannote[241].end 873.41346875
transcript.pyannote[242].speaker SPEAKER_06
transcript.pyannote[242].start 873.49784375
transcript.pyannote[242].end 874.96596875
transcript.pyannote[243].speaker SPEAKER_05
transcript.pyannote[243].start 874.96596875
transcript.pyannote[243].end 875.18534375
transcript.pyannote[244].speaker SPEAKER_06
transcript.pyannote[244].start 875.18534375
transcript.pyannote[244].end 878.66159375
transcript.pyannote[245].speaker SPEAKER_05
transcript.pyannote[245].start 877.69971875
transcript.pyannote[245].end 877.71659375
transcript.pyannote[246].speaker SPEAKER_05
transcript.pyannote[246].start 877.76721875
transcript.pyannote[246].end 887.11596875
transcript.pyannote[247].speaker SPEAKER_06
transcript.pyannote[247].start 881.02409375
transcript.pyannote[247].end 881.78346875
transcript.pyannote[248].speaker SPEAKER_06
transcript.pyannote[248].start 885.63096875
transcript.pyannote[248].end 896.05971875
transcript.pyannote[249].speaker SPEAKER_05
transcript.pyannote[249].start 895.41846875
transcript.pyannote[249].end 903.45096875
transcript.pyannote[250].speaker SPEAKER_06
transcript.pyannote[250].start 902.35409375
transcript.pyannote[250].end 902.38784375
transcript.pyannote[251].speaker SPEAKER_05
transcript.pyannote[251].start 903.82221875
transcript.pyannote[251].end 903.83909375
transcript.pyannote[252].speaker SPEAKER_06
transcript.pyannote[252].start 903.83909375
transcript.pyannote[252].end 913.03596875
transcript.pyannote[253].speaker SPEAKER_05
transcript.pyannote[253].start 904.15971875
transcript.pyannote[253].end 904.58159375
transcript.pyannote[254].speaker SPEAKER_07
transcript.pyannote[254].start 904.58159375
transcript.pyannote[254].end 905.44221875
transcript.pyannote[255].speaker SPEAKER_05
transcript.pyannote[255].start 905.44221875
transcript.pyannote[255].end 905.45909375
transcript.pyannote[256].speaker SPEAKER_07
transcript.pyannote[256].start 905.45909375
transcript.pyannote[256].end 905.47596875
transcript.pyannote[257].speaker SPEAKER_05
transcript.pyannote[257].start 905.47596875
transcript.pyannote[257].end 905.49284375
transcript.pyannote[258].speaker SPEAKER_06
transcript.pyannote[258].start 914.45346875
transcript.pyannote[258].end 922.84034375
transcript.pyannote[259].speaker SPEAKER_07
transcript.pyannote[259].start 922.92471875
transcript.pyannote[259].end 923.22846875
transcript.pyannote[260].speaker SPEAKER_06
transcript.pyannote[260].start 923.22846875
transcript.pyannote[260].end 924.25784375
transcript.pyannote[261].speaker SPEAKER_06
transcript.pyannote[261].start 924.51096875
transcript.pyannote[261].end 927.88596875
transcript.pyannote[262].speaker SPEAKER_06
transcript.pyannote[262].start 928.52721875
transcript.pyannote[262].end 928.86471875
transcript.pyannote[263].speaker SPEAKER_06
transcript.pyannote[263].start 929.08409375
transcript.pyannote[263].end 929.59034375
transcript.pyannote[264].speaker SPEAKER_06
transcript.pyannote[264].start 930.07971875
transcript.pyannote[264].end 932.23971875
transcript.pyannote[265].speaker SPEAKER_06
transcript.pyannote[265].start 934.11284375
transcript.pyannote[265].end 936.01971875
transcript.pyannote[266].speaker SPEAKER_06
transcript.pyannote[266].start 936.77909375
transcript.pyannote[266].end 938.34846875
transcript.pyannote[267].speaker SPEAKER_06
transcript.pyannote[267].start 939.12471875
transcript.pyannote[267].end 940.50846875
transcript.pyannote[268].speaker SPEAKER_06
transcript.pyannote[268].start 941.48721875
transcript.pyannote[268].end 944.03534375
transcript.pyannote[269].speaker SPEAKER_06
transcript.pyannote[269].start 944.96346875
transcript.pyannote[269].end 952.89471875
transcript.pyannote[270].speaker SPEAKER_06
transcript.pyannote[270].start 953.16471875
transcript.pyannote[270].end 954.71721875
transcript.pyannote[271].speaker SPEAKER_06
transcript.pyannote[271].start 955.20659375
transcript.pyannote[271].end 956.08409375
transcript.pyannote[272].speaker SPEAKER_06
transcript.pyannote[272].start 957.51846875
transcript.pyannote[272].end 958.73346875
transcript.pyannote[273].speaker SPEAKER_06
transcript.pyannote[273].start 959.03721875
transcript.pyannote[273].end 963.08721875
transcript.pyannote[274].speaker SPEAKER_07
transcript.pyannote[274].start 962.63159375
transcript.pyannote[274].end 962.66534375
transcript.pyannote[275].speaker SPEAKER_06
transcript.pyannote[275].start 963.30659375
transcript.pyannote[275].end 965.77034375
transcript.pyannote[276].speaker SPEAKER_06
transcript.pyannote[276].start 966.56346875
transcript.pyannote[276].end 967.30596875
transcript.pyannote[277].speaker SPEAKER_06
transcript.pyannote[277].start 967.76159375
transcript.pyannote[277].end 972.36846875
transcript.pyannote[278].speaker SPEAKER_06
transcript.pyannote[278].start 973.04346875
transcript.pyannote[278].end 973.26284375
transcript.pyannote[279].speaker SPEAKER_06
transcript.pyannote[279].start 973.73534375
transcript.pyannote[279].end 974.78159375
transcript.pyannote[280].speaker SPEAKER_06
transcript.pyannote[280].start 975.60846875
transcript.pyannote[280].end 978.74721875
transcript.pyannote[281].speaker SPEAKER_06
transcript.pyannote[281].start 979.65846875
transcript.pyannote[281].end 980.06346875
transcript.pyannote[282].speaker SPEAKER_06
transcript.pyannote[282].start 981.04221875
transcript.pyannote[282].end 982.96596875
transcript.pyannote[283].speaker SPEAKER_05
transcript.pyannote[283].start 982.96596875
transcript.pyannote[283].end 983.11784375
transcript.pyannote[284].speaker SPEAKER_06
transcript.pyannote[284].start 983.42159375
transcript.pyannote[284].end 983.43846875
transcript.pyannote[285].speaker SPEAKER_05
transcript.pyannote[285].start 983.43846875
transcript.pyannote[285].end 988.58534375
transcript.pyannote[286].speaker SPEAKER_05
transcript.pyannote[286].start 989.22659375
transcript.pyannote[286].end 994.35659375
transcript.pyannote[287].speaker SPEAKER_06
transcript.pyannote[287].start 992.82096875
transcript.pyannote[287].end 996.75284375
transcript.pyannote[288].speaker SPEAKER_05
transcript.pyannote[288].start 995.63909375
transcript.pyannote[288].end 996.34784375
transcript.pyannote[289].speaker SPEAKER_05
transcript.pyannote[289].start 996.38159375
transcript.pyannote[289].end 1011.02909375
transcript.pyannote[290].speaker SPEAKER_06
transcript.pyannote[290].start 1003.30034375
transcript.pyannote[290].end 1004.16096875
transcript.pyannote[291].speaker SPEAKER_06
transcript.pyannote[291].start 1004.48159375
transcript.pyannote[291].end 1004.85284375
transcript.pyannote[292].speaker SPEAKER_06
transcript.pyannote[292].start 1008.05909375
transcript.pyannote[292].end 1009.79721875
transcript.pyannote[293].speaker SPEAKER_06
transcript.pyannote[293].start 1011.02909375
transcript.pyannote[293].end 1015.68659375
transcript.pyannote[294].speaker SPEAKER_00
transcript.pyannote[294].start 1015.36596875
transcript.pyannote[294].end 1017.57659375
transcript.pyannote[295].speaker SPEAKER_06
transcript.pyannote[295].start 1016.34471875
transcript.pyannote[295].end 1016.49659375
transcript.pyannote[296].speaker SPEAKER_06
transcript.pyannote[296].start 1016.73284375
transcript.pyannote[296].end 1022.25096875
transcript.pyannote[297].speaker SPEAKER_00
transcript.pyannote[297].start 1018.11659375
transcript.pyannote[297].end 1019.75346875
transcript.pyannote[298].speaker SPEAKER_00
transcript.pyannote[298].start 1022.43659375
transcript.pyannote[298].end 1027.95471875
transcript.pyannote[299].speaker SPEAKER_06
transcript.pyannote[299].start 1022.90909375
transcript.pyannote[299].end 1023.09471875
transcript.pyannote[300].speaker SPEAKER_06
transcript.pyannote[300].start 1025.65971875
transcript.pyannote[300].end 1026.08159375
transcript.pyannote[301].speaker SPEAKER_06
transcript.pyannote[301].start 1026.13221875
transcript.pyannote[301].end 1030.48596875
transcript.pyannote[302].speaker SPEAKER_00
transcript.pyannote[302].start 1030.48596875
transcript.pyannote[302].end 1035.93659375
transcript.pyannote[303].speaker SPEAKER_06
transcript.pyannote[303].start 1031.19471875
transcript.pyannote[303].end 1031.85284375
transcript.pyannote[304].speaker SPEAKER_06
transcript.pyannote[304].start 1033.70909375
transcript.pyannote[304].end 1034.18159375
transcript.pyannote[305].speaker SPEAKER_06
transcript.pyannote[305].start 1034.73846875
transcript.pyannote[305].end 1040.08784375
transcript.pyannote[306].speaker SPEAKER_06
transcript.pyannote[306].start 1040.25659375
transcript.pyannote[306].end 1042.28159375
transcript.pyannote[307].speaker SPEAKER_06
transcript.pyannote[307].start 1042.63596875
transcript.pyannote[307].end 1043.31096875
transcript.pyannote[308].speaker SPEAKER_06
transcript.pyannote[308].start 1043.64846875
transcript.pyannote[308].end 1044.59346875
transcript.pyannote[309].speaker SPEAKER_06
transcript.pyannote[309].start 1044.66096875
transcript.pyannote[309].end 1047.76596875
transcript.pyannote[310].speaker SPEAKER_06
transcript.pyannote[310].start 1048.15409375
transcript.pyannote[310].end 1049.30159375
transcript.pyannote[311].speaker SPEAKER_06
transcript.pyannote[311].start 1049.33534375
transcript.pyannote[311].end 1050.95534375
transcript.pyannote[312].speaker SPEAKER_06
transcript.pyannote[312].start 1051.15784375
transcript.pyannote[312].end 1054.92096875
transcript.pyannote[313].speaker SPEAKER_06
transcript.pyannote[313].start 1055.37659375
transcript.pyannote[313].end 1057.09784375
transcript.pyannote[314].speaker SPEAKER_06
transcript.pyannote[314].start 1057.46909375
transcript.pyannote[314].end 1061.04659375
transcript.pyannote[315].speaker SPEAKER_06
transcript.pyannote[315].start 1061.65409375
transcript.pyannote[315].end 1063.98284375
transcript.pyannote[316].speaker SPEAKER_06
transcript.pyannote[316].start 1065.19784375
transcript.pyannote[316].end 1066.05846875
transcript.pyannote[317].speaker SPEAKER_06
transcript.pyannote[317].start 1066.69971875
transcript.pyannote[317].end 1068.60659375
transcript.pyannote[318].speaker SPEAKER_06
transcript.pyannote[318].start 1069.06221875
transcript.pyannote[318].end 1072.20096875
transcript.pyannote[319].speaker SPEAKER_06
transcript.pyannote[319].start 1072.57221875
transcript.pyannote[319].end 1075.20471875
transcript.pyannote[320].speaker SPEAKER_05
transcript.pyannote[320].start 1076.75721875
transcript.pyannote[320].end 1079.57534375
transcript.pyannote[321].speaker SPEAKER_05
transcript.pyannote[321].start 1079.87909375
transcript.pyannote[321].end 1083.87846875
transcript.pyannote[322].speaker SPEAKER_02
transcript.pyannote[322].start 1082.93346875
transcript.pyannote[322].end 1086.17346875
transcript.pyannote[323].speaker SPEAKER_02
transcript.pyannote[323].start 1086.25784375
transcript.pyannote[323].end 1087.77659375
transcript.pyannote[324].speaker SPEAKER_05
transcript.pyannote[324].start 1086.37596875
transcript.pyannote[324].end 1087.69221875
transcript.pyannote[325].speaker SPEAKER_06
transcript.pyannote[325].start 1087.69221875
transcript.pyannote[325].end 1087.72596875
transcript.pyannote[326].speaker SPEAKER_05
transcript.pyannote[326].start 1088.01284375
transcript.pyannote[326].end 1088.06346875
transcript.pyannote[327].speaker SPEAKER_02
transcript.pyannote[327].start 1088.06346875
transcript.pyannote[327].end 1089.93659375
transcript.pyannote[328].speaker SPEAKER_06
transcript.pyannote[328].start 1088.28284375
transcript.pyannote[328].end 1088.72159375
transcript.pyannote[329].speaker SPEAKER_05
transcript.pyannote[329].start 1088.72159375
transcript.pyannote[329].end 1088.73846875
transcript.pyannote[330].speaker SPEAKER_06
transcript.pyannote[330].start 1089.02534375
transcript.pyannote[330].end 1089.90284375
transcript.pyannote[331].speaker SPEAKER_06
transcript.pyannote[331].start 1089.91971875
transcript.pyannote[331].end 1089.97034375
transcript.pyannote[332].speaker SPEAKER_02
transcript.pyannote[332].start 1089.97034375
transcript.pyannote[332].end 1090.18971875
transcript.pyannote[333].speaker SPEAKER_06
transcript.pyannote[333].start 1090.00409375
transcript.pyannote[333].end 1093.36221875
transcript.pyannote[334].speaker SPEAKER_02
transcript.pyannote[334].start 1092.82221875
transcript.pyannote[334].end 1093.41284375
transcript.pyannote[335].speaker SPEAKER_07
transcript.pyannote[335].start 1093.41284375
transcript.pyannote[335].end 1093.44659375
transcript.pyannote[336].speaker SPEAKER_06
transcript.pyannote[336].start 1093.44659375
transcript.pyannote[336].end 1098.13784375
transcript.pyannote[337].speaker SPEAKER_06
transcript.pyannote[337].start 1099.15034375
transcript.pyannote[337].end 1102.98096875
transcript.pyannote[338].speaker SPEAKER_06
transcript.pyannote[338].start 1103.55471875
transcript.pyannote[338].end 1107.25034375
transcript.pyannote[339].speaker SPEAKER_02
transcript.pyannote[339].start 1107.85784375
transcript.pyannote[339].end 1110.03471875
transcript.pyannote[340].speaker SPEAKER_02
transcript.pyannote[340].start 1110.43971875
transcript.pyannote[340].end 1114.45596875
transcript.pyannote[341].speaker SPEAKER_02
transcript.pyannote[341].start 1114.75971875
transcript.pyannote[341].end 1120.61534375
transcript.pyannote[342].speaker SPEAKER_06
transcript.pyannote[342].start 1120.42971875
transcript.pyannote[342].end 1120.54784375
transcript.pyannote[343].speaker SPEAKER_06
transcript.pyannote[343].start 1120.61534375
transcript.pyannote[343].end 1129.35659375
transcript.pyannote[344].speaker SPEAKER_02
transcript.pyannote[344].start 1121.02034375
transcript.pyannote[344].end 1123.04534375
transcript.pyannote[345].speaker SPEAKER_02
transcript.pyannote[345].start 1123.56846875
transcript.pyannote[345].end 1124.63159375
transcript.pyannote[346].speaker SPEAKER_05
transcript.pyannote[346].start 1129.77846875
transcript.pyannote[346].end 1143.54846875
transcript.pyannote[347].speaker SPEAKER_06
transcript.pyannote[347].start 1132.17471875
transcript.pyannote[347].end 1133.17034375
transcript.pyannote[348].speaker SPEAKER_06
transcript.pyannote[348].start 1134.46971875
transcript.pyannote[348].end 1135.29659375
transcript.pyannote[349].speaker SPEAKER_00
transcript.pyannote[349].start 1137.23721875
transcript.pyannote[349].end 1137.45659375
transcript.pyannote[350].speaker SPEAKER_06
transcript.pyannote[350].start 1140.29159375
transcript.pyannote[350].end 1142.13096875
transcript.pyannote[351].speaker SPEAKER_05
transcript.pyannote[351].start 1143.73409375
transcript.pyannote[351].end 1145.52284375
transcript.pyannote[352].speaker SPEAKER_06
transcript.pyannote[352].start 1144.89846875
transcript.pyannote[352].end 1146.75471875
transcript.pyannote[353].speaker SPEAKER_05
transcript.pyannote[353].start 1147.12596875
transcript.pyannote[353].end 1151.96909375
transcript.pyannote[354].speaker SPEAKER_06
transcript.pyannote[354].start 1151.54721875
transcript.pyannote[354].end 1158.17909375
transcript.pyannote[355].speaker SPEAKER_05
transcript.pyannote[355].start 1158.17909375
transcript.pyannote[355].end 1158.19596875
transcript.pyannote[356].speaker SPEAKER_06
transcript.pyannote[356].start 1158.19596875
transcript.pyannote[356].end 1158.49971875
transcript.pyannote[357].speaker SPEAKER_06
transcript.pyannote[357].start 1159.19159375
transcript.pyannote[357].end 1162.38096875
transcript.pyannote[358].speaker SPEAKER_06
transcript.pyannote[358].start 1162.87034375
transcript.pyannote[358].end 1170.66659375
transcript.pyannote[359].speaker SPEAKER_06
transcript.pyannote[359].start 1171.25721875
transcript.pyannote[359].end 1177.04534375
transcript.pyannote[360].speaker SPEAKER_06
transcript.pyannote[360].start 1177.61909375
transcript.pyannote[360].end 1185.12846875
transcript.pyannote[361].speaker SPEAKER_06
transcript.pyannote[361].start 1185.66846875
transcript.pyannote[361].end 1186.03971875
transcript.pyannote[362].speaker SPEAKER_05
transcript.pyannote[362].start 1186.03971875
transcript.pyannote[362].end 1189.29659375
transcript.pyannote[363].speaker SPEAKER_05
transcript.pyannote[363].start 1189.49909375
transcript.pyannote[363].end 1190.41034375
transcript.pyannote[364].speaker SPEAKER_05
transcript.pyannote[364].start 1190.71409375
transcript.pyannote[364].end 1191.96284375
transcript.pyannote[365].speaker SPEAKER_05
transcript.pyannote[365].start 1192.23284375
transcript.pyannote[365].end 1196.46846875
transcript.pyannote[366].speaker SPEAKER_05
transcript.pyannote[366].start 1196.75534375
transcript.pyannote[366].end 1200.41721875
transcript.pyannote[367].speaker SPEAKER_05
transcript.pyannote[367].start 1200.73784375
transcript.pyannote[367].end 1203.94409375
transcript.pyannote[368].speaker SPEAKER_05
transcript.pyannote[368].start 1204.50096875
transcript.pyannote[368].end 1206.05346875
transcript.pyannote[369].speaker SPEAKER_05
transcript.pyannote[369].start 1206.32346875
transcript.pyannote[369].end 1211.30159375
transcript.pyannote[370].speaker SPEAKER_06
transcript.pyannote[370].start 1210.57596875
transcript.pyannote[370].end 1216.83659375
transcript.pyannote[371].speaker SPEAKER_05
transcript.pyannote[371].start 1213.14096875
transcript.pyannote[371].end 1213.47846875
transcript.pyannote[372].speaker SPEAKER_06
transcript.pyannote[372].start 1217.37659375
transcript.pyannote[372].end 1224.36284375
transcript.pyannote[373].speaker SPEAKER_05
transcript.pyannote[373].start 1217.76471875
transcript.pyannote[373].end 1218.97971875
transcript.pyannote[374].speaker SPEAKER_05
transcript.pyannote[374].start 1220.81909375
transcript.pyannote[374].end 1223.38409375
transcript.pyannote[375].speaker SPEAKER_05
transcript.pyannote[375].start 1224.41346875
transcript.pyannote[375].end 1229.23971875
transcript.pyannote[376].speaker SPEAKER_06
transcript.pyannote[376].start 1226.70846875
transcript.pyannote[376].end 1227.16409375
transcript.pyannote[377].speaker SPEAKER_06
transcript.pyannote[377].start 1229.12159375
transcript.pyannote[377].end 1235.51721875
transcript.pyannote[378].speaker SPEAKER_06
transcript.pyannote[378].start 1237.06971875
transcript.pyannote[378].end 1237.96409375
transcript.pyannote[379].speaker SPEAKER_05
transcript.pyannote[379].start 1237.96409375
transcript.pyannote[379].end 1239.07784375
transcript.pyannote[380].speaker SPEAKER_06
transcript.pyannote[380].start 1239.39846875
transcript.pyannote[380].end 1239.41534375
transcript.pyannote[381].speaker SPEAKER_05
transcript.pyannote[381].start 1239.41534375
transcript.pyannote[381].end 1240.51221875
transcript.pyannote[382].speaker SPEAKER_05
transcript.pyannote[382].start 1240.81596875
transcript.pyannote[382].end 1246.63784375
transcript.pyannote[383].speaker SPEAKER_05
transcript.pyannote[383].start 1246.65471875
transcript.pyannote[383].end 1249.28721875
transcript.pyannote[384].speaker SPEAKER_05
transcript.pyannote[384].start 1249.72596875
transcript.pyannote[384].end 1257.43784375
transcript.pyannote[385].speaker SPEAKER_06
transcript.pyannote[385].start 1250.72159375
transcript.pyannote[385].end 1251.98721875
transcript.pyannote[386].speaker SPEAKER_05
transcript.pyannote[386].start 1257.53909375
transcript.pyannote[386].end 1259.63159375
transcript.pyannote[387].speaker SPEAKER_06
transcript.pyannote[387].start 1259.17596875
transcript.pyannote[387].end 1259.68221875
transcript.pyannote[388].speaker SPEAKER_05
transcript.pyannote[388].start 1259.68221875
transcript.pyannote[388].end 1260.07034375
transcript.pyannote[389].speaker SPEAKER_06
transcript.pyannote[389].start 1260.07034375
transcript.pyannote[389].end 1260.08721875
transcript.pyannote[390].speaker SPEAKER_05
transcript.pyannote[390].start 1260.08721875
transcript.pyannote[390].end 1260.12096875
transcript.pyannote[391].speaker SPEAKER_06
transcript.pyannote[391].start 1260.12096875
transcript.pyannote[391].end 1260.52596875
transcript.pyannote[392].speaker SPEAKER_05
transcript.pyannote[392].start 1260.52596875
transcript.pyannote[392].end 1260.59346875
transcript.pyannote[393].speaker SPEAKER_06
transcript.pyannote[393].start 1260.59346875
transcript.pyannote[393].end 1266.60096875
transcript.pyannote[394].speaker SPEAKER_05
transcript.pyannote[394].start 1260.64409375
transcript.pyannote[394].end 1261.85909375
transcript.pyannote[395].speaker SPEAKER_06
transcript.pyannote[395].start 1266.87096875
transcript.pyannote[395].end 1273.50284375
transcript.pyannote[396].speaker SPEAKER_06
transcript.pyannote[396].start 1275.67971875
transcript.pyannote[396].end 1276.37159375
transcript.pyannote[397].speaker SPEAKER_05
transcript.pyannote[397].start 1277.36721875
transcript.pyannote[397].end 1280.50596875
transcript.pyannote[398].speaker SPEAKER_06
transcript.pyannote[398].start 1281.13034375
transcript.pyannote[398].end 1283.00346875
transcript.pyannote[399].speaker SPEAKER_06
transcript.pyannote[399].start 1283.30721875
transcript.pyannote[399].end 1285.23096875
transcript.pyannote[400].speaker SPEAKER_04
transcript.pyannote[400].start 1285.97346875
transcript.pyannote[400].end 1293.93846875
transcript.pyannote[401].speaker SPEAKER_06
transcript.pyannote[401].start 1286.37846875
transcript.pyannote[401].end 1287.47534375
transcript.pyannote[402].speaker SPEAKER_06
transcript.pyannote[402].start 1293.93846875
transcript.pyannote[402].end 1293.95534375
transcript.pyannote[403].speaker SPEAKER_04
transcript.pyannote[403].start 1294.63034375
transcript.pyannote[403].end 1295.55846875
transcript.pyannote[404].speaker SPEAKER_06
transcript.pyannote[404].start 1295.55846875
transcript.pyannote[404].end 1295.57534375
transcript.pyannote[405].speaker SPEAKER_06
transcript.pyannote[405].start 1297.54971875
transcript.pyannote[405].end 1306.56096875
transcript.pyannote[406].speaker SPEAKER_05
transcript.pyannote[406].start 1300.38471875
transcript.pyannote[406].end 1302.40971875
transcript.pyannote[407].speaker SPEAKER_05
transcript.pyannote[407].start 1304.94096875
transcript.pyannote[407].end 1305.59909375
transcript.pyannote[408].speaker SPEAKER_05
transcript.pyannote[408].start 1306.56096875
transcript.pyannote[408].end 1311.11721875
transcript.pyannote[409].speaker SPEAKER_05
transcript.pyannote[409].start 1312.24784375
transcript.pyannote[409].end 1313.02409375
transcript.pyannote[410].speaker SPEAKER_06
transcript.pyannote[410].start 1313.02409375
transcript.pyannote[410].end 1313.42909375
transcript.pyannote[411].speaker SPEAKER_05
transcript.pyannote[411].start 1313.42909375
transcript.pyannote[411].end 1313.44596875
transcript.pyannote[412].speaker SPEAKER_05
transcript.pyannote[412].start 1313.80034375
transcript.pyannote[412].end 1313.83409375
transcript.pyannote[413].speaker SPEAKER_06
transcript.pyannote[413].start 1313.83409375
transcript.pyannote[413].end 1315.20096875
transcript.pyannote[414].speaker SPEAKER_01
transcript.pyannote[414].start 1315.77471875
transcript.pyannote[414].end 1317.25971875
transcript.pyannote[415].speaker SPEAKER_06
transcript.pyannote[415].start 1317.02346875
transcript.pyannote[415].end 1318.32284375
transcript.pyannote[416].speaker SPEAKER_06
transcript.pyannote[416].start 1318.82909375
transcript.pyannote[416].end 1333.34159375
transcript.pyannote[417].speaker SPEAKER_06
transcript.pyannote[417].start 1334.08409375
transcript.pyannote[417].end 1339.38284375
transcript.pyannote[418].speaker SPEAKER_06
transcript.pyannote[418].start 1339.51784375
transcript.pyannote[418].end 1350.06471875
transcript.pyannote[419].speaker SPEAKER_06
transcript.pyannote[419].start 1350.48659375
transcript.pyannote[419].end 1351.33034375
transcript.pyannote[420].speaker SPEAKER_06
transcript.pyannote[420].start 1352.89971875
transcript.pyannote[420].end 1353.91221875
transcript.pyannote[421].speaker SPEAKER_06
transcript.pyannote[421].start 1355.34659375
transcript.pyannote[421].end 1357.13534375
transcript.pyannote[422].speaker SPEAKER_06
transcript.pyannote[422].start 1357.62471875
transcript.pyannote[422].end 1358.68784375
transcript.pyannote[423].speaker SPEAKER_06
transcript.pyannote[423].start 1359.39659375
transcript.pyannote[423].end 1360.02096875
transcript.pyannote[424].speaker SPEAKER_06
transcript.pyannote[424].start 1361.03346875
transcript.pyannote[424].end 1363.96971875
transcript.pyannote[425].speaker SPEAKER_06
transcript.pyannote[425].start 1364.72909375
transcript.pyannote[425].end 1366.01159375
transcript.pyannote[426].speaker SPEAKER_06
transcript.pyannote[426].start 1366.61909375
transcript.pyannote[426].end 1369.97721875
transcript.pyannote[427].speaker SPEAKER_06
transcript.pyannote[427].start 1370.75346875
transcript.pyannote[427].end 1371.54659375
transcript.pyannote[428].speaker SPEAKER_06
transcript.pyannote[428].start 1372.22159375
transcript.pyannote[428].end 1374.46596875
transcript.pyannote[429].speaker SPEAKER_06
transcript.pyannote[429].start 1374.85409375
transcript.pyannote[429].end 1375.54596875
transcript.pyannote[430].speaker SPEAKER_06
transcript.pyannote[430].start 1376.49096875
transcript.pyannote[430].end 1378.54971875
transcript.pyannote[431].speaker SPEAKER_06
transcript.pyannote[431].start 1378.75221875
transcript.pyannote[431].end 1383.03846875
transcript.pyannote[432].speaker SPEAKER_06
transcript.pyannote[432].start 1383.59534375
transcript.pyannote[432].end 1388.40471875
transcript.pyannote[433].speaker SPEAKER_06
transcript.pyannote[433].start 1389.11346875
transcript.pyannote[433].end 1390.90221875
transcript.pyannote[434].speaker SPEAKER_06
transcript.pyannote[434].start 1391.20596875
transcript.pyannote[434].end 1393.31534375
transcript.pyannote[435].speaker SPEAKER_06
transcript.pyannote[435].start 1393.50096875
transcript.pyannote[435].end 1395.88034375
transcript.pyannote[436].speaker SPEAKER_06
transcript.pyannote[436].start 1397.33159375
transcript.pyannote[436].end 1399.47471875
transcript.pyannote[437].speaker SPEAKER_06
transcript.pyannote[437].start 1400.50409375
transcript.pyannote[437].end 1401.53346875
transcript.pyannote[438].speaker SPEAKER_06
transcript.pyannote[438].start 1402.05659375
transcript.pyannote[438].end 1404.08159375
transcript.pyannote[439].speaker SPEAKER_06
transcript.pyannote[439].start 1404.72284375
transcript.pyannote[439].end 1407.57471875
transcript.pyannote[440].speaker SPEAKER_06
transcript.pyannote[440].start 1407.99659375
transcript.pyannote[440].end 1410.62909375
transcript.pyannote[441].speaker SPEAKER_06
transcript.pyannote[441].start 1411.47284375
transcript.pyannote[441].end 1411.91159375
transcript.pyannote[442].speaker SPEAKER_06
transcript.pyannote[442].start 1412.46846875
transcript.pyannote[442].end 1413.07596875
transcript.pyannote[443].speaker SPEAKER_06
transcript.pyannote[443].start 1413.43034375
transcript.pyannote[443].end 1414.59471875
transcript.pyannote[444].speaker SPEAKER_06
transcript.pyannote[444].start 1415.16846875
transcript.pyannote[444].end 1418.34096875
transcript.pyannote[445].speaker SPEAKER_03
transcript.pyannote[445].start 1418.62784375
transcript.pyannote[445].end 1429.44471875
transcript.pyannote[446].speaker SPEAKER_03
transcript.pyannote[446].start 1429.73159375
transcript.pyannote[446].end 1434.97971875
transcript.pyannote[447].speaker SPEAKER_06
transcript.pyannote[447].start 1434.38909375
transcript.pyannote[447].end 1436.73471875
transcript.pyannote[448].speaker SPEAKER_06
transcript.pyannote[448].start 1436.86971875
transcript.pyannote[448].end 1438.01721875
transcript.pyannote[449].speaker SPEAKER_03
transcript.pyannote[449].start 1437.37596875
transcript.pyannote[449].end 1447.43346875
transcript.pyannote[450].speaker SPEAKER_06
transcript.pyannote[450].start 1446.72471875
transcript.pyannote[450].end 1451.53409375
transcript.pyannote[451].speaker SPEAKER_03
transcript.pyannote[451].start 1452.27659375
transcript.pyannote[451].end 1452.29346875
transcript.pyannote[452].speaker SPEAKER_06
transcript.pyannote[452].start 1452.29346875
transcript.pyannote[452].end 1458.36846875
transcript.pyannote[453].speaker SPEAKER_03
transcript.pyannote[453].start 1454.08221875
transcript.pyannote[453].end 1454.62221875
transcript.pyannote[454].speaker SPEAKER_03
transcript.pyannote[454].start 1459.21221875
transcript.pyannote[454].end 1464.40971875
transcript.pyannote[455].speaker SPEAKER_06
transcript.pyannote[455].start 1464.40971875
transcript.pyannote[455].end 1465.60784375
transcript.pyannote[456].speaker SPEAKER_03
transcript.pyannote[456].start 1465.91159375
transcript.pyannote[456].end 1466.11409375
transcript.pyannote[457].speaker SPEAKER_06
transcript.pyannote[457].start 1466.50221875
transcript.pyannote[457].end 1470.02909375
transcript.pyannote[458].speaker SPEAKER_06
transcript.pyannote[458].start 1470.48471875
transcript.pyannote[458].end 1473.08346875
transcript.pyannote[459].speaker SPEAKER_06
transcript.pyannote[459].start 1473.52221875
transcript.pyannote[459].end 1476.28971875
transcript.pyannote[460].speaker SPEAKER_06
transcript.pyannote[460].start 1476.57659375
transcript.pyannote[460].end 1477.03221875
transcript.pyannote[461].speaker SPEAKER_06
transcript.pyannote[461].start 1477.38659375
transcript.pyannote[461].end 1479.81659375
transcript.pyannote[462].speaker SPEAKER_03
transcript.pyannote[462].start 1479.12471875
transcript.pyannote[462].end 1489.31721875
transcript.pyannote[463].speaker SPEAKER_06
transcript.pyannote[463].start 1488.94596875
transcript.pyannote[463].end 1494.95346875
transcript.pyannote[464].speaker SPEAKER_06
transcript.pyannote[464].start 1495.89846875
transcript.pyannote[464].end 1501.87221875
transcript.pyannote[465].speaker SPEAKER_06
transcript.pyannote[465].start 1502.39534375
transcript.pyannote[465].end 1523.55659375
transcript.pyannote[466].speaker SPEAKER_06
transcript.pyannote[466].start 1523.91096875
transcript.pyannote[466].end 1524.63659375
transcript.pyannote[467].speaker SPEAKER_06
transcript.pyannote[467].start 1524.65346875
transcript.pyannote[467].end 1527.06659375
transcript.pyannote[468].speaker SPEAKER_06
transcript.pyannote[468].start 1527.94409375
transcript.pyannote[468].end 1531.94346875
transcript.pyannote[469].speaker SPEAKER_06
transcript.pyannote[469].start 1532.46659375
transcript.pyannote[469].end 1536.98909375
transcript.pyannote[470].speaker SPEAKER_06
transcript.pyannote[470].start 1537.59659375
transcript.pyannote[470].end 1538.92971875
transcript.pyannote[471].speaker SPEAKER_06
transcript.pyannote[471].start 1539.53721875
transcript.pyannote[471].end 1540.38096875
transcript.pyannote[472].speaker SPEAKER_03
transcript.pyannote[472].start 1540.68471875
transcript.pyannote[472].end 1549.05471875
transcript.pyannote[473].speaker SPEAKER_06
transcript.pyannote[473].start 1540.76909375
transcript.pyannote[473].end 1541.07284375
transcript.pyannote[474].speaker SPEAKER_06
transcript.pyannote[474].start 1549.05471875
transcript.pyannote[474].end 1549.15596875
transcript.pyannote[475].speaker SPEAKER_06
transcript.pyannote[475].start 1549.25721875
transcript.pyannote[475].end 1556.31096875
transcript.pyannote[476].speaker SPEAKER_03
transcript.pyannote[476].start 1552.24409375
transcript.pyannote[476].end 1553.76284375
transcript.pyannote[477].speaker SPEAKER_03
transcript.pyannote[477].start 1555.61909375
transcript.pyannote[477].end 1569.01784375
transcript.pyannote[478].speaker SPEAKER_03
transcript.pyannote[478].start 1569.27096875
transcript.pyannote[478].end 1570.51971875
transcript.pyannote[479].speaker SPEAKER_06
transcript.pyannote[479].start 1571.90346875
transcript.pyannote[479].end 1574.94096875
transcript.pyannote[480].speaker SPEAKER_06
transcript.pyannote[480].start 1575.58221875
transcript.pyannote[480].end 1575.91971875
transcript.pyannote[481].speaker SPEAKER_06
transcript.pyannote[481].start 1576.59471875
transcript.pyannote[481].end 1585.70721875
transcript.pyannote[482].speaker SPEAKER_07
transcript.pyannote[482].start 1577.08409375
transcript.pyannote[482].end 1577.20221875
transcript.pyannote[483].speaker SPEAKER_03
transcript.pyannote[483].start 1586.26409375
transcript.pyannote[483].end 1592.47409375
transcript.pyannote[484].speaker SPEAKER_03
transcript.pyannote[484].start 1592.94659375
transcript.pyannote[484].end 1596.86159375
transcript.pyannote[485].speaker SPEAKER_03
transcript.pyannote[485].start 1597.26659375
transcript.pyannote[485].end 1598.14409375
transcript.pyannote[486].speaker SPEAKER_06
transcript.pyannote[486].start 1599.10596875
transcript.pyannote[486].end 1601.16471875
transcript.pyannote[487].speaker SPEAKER_05
transcript.pyannote[487].start 1601.16471875
transcript.pyannote[487].end 1603.37534375
transcript.pyannote[488].speaker SPEAKER_05
transcript.pyannote[488].start 1603.59471875
transcript.pyannote[488].end 1604.55659375
transcript.pyannote[489].speaker SPEAKER_05
transcript.pyannote[489].start 1604.96159375
transcript.pyannote[489].end 1608.52221875
transcript.pyannote[490].speaker SPEAKER_05
transcript.pyannote[490].start 1608.92721875
transcript.pyannote[490].end 1609.21409375
transcript.pyannote[491].speaker SPEAKER_05
transcript.pyannote[491].start 1609.55159375
transcript.pyannote[491].end 1612.43721875
transcript.pyannote[492].speaker SPEAKER_05
transcript.pyannote[492].start 1612.97721875
transcript.pyannote[492].end 1615.94721875
transcript.pyannote[493].speaker SPEAKER_06
transcript.pyannote[493].start 1615.94721875
transcript.pyannote[493].end 1615.96409375
transcript.pyannote[494].speaker SPEAKER_06
transcript.pyannote[494].start 1616.26784375
transcript.pyannote[494].end 1617.95534375
transcript.pyannote[495].speaker SPEAKER_06
transcript.pyannote[495].start 1617.97221875
transcript.pyannote[495].end 1619.22096875
transcript.pyannote[496].speaker SPEAKER_06
transcript.pyannote[496].start 1619.62596875
transcript.pyannote[496].end 1623.05159375
transcript.pyannote[497].speaker SPEAKER_06
transcript.pyannote[497].start 1623.52409375
transcript.pyannote[497].end 1624.35096875
transcript.pyannote[498].speaker SPEAKER_03
transcript.pyannote[498].start 1624.77284375
transcript.pyannote[498].end 1625.04284375
transcript.pyannote[499].speaker SPEAKER_06
transcript.pyannote[499].start 1625.04284375
transcript.pyannote[499].end 1626.93284375
transcript.pyannote[500].speaker SPEAKER_03
transcript.pyannote[500].start 1625.09346875
transcript.pyannote[500].end 1625.26221875
transcript.pyannote[501].speaker SPEAKER_06
transcript.pyannote[501].start 1627.47284375
transcript.pyannote[501].end 1628.16471875
transcript.pyannote[502].speaker SPEAKER_06
transcript.pyannote[502].start 1628.50221875
transcript.pyannote[502].end 1631.06721875
transcript.pyannote[503].speaker SPEAKER_06
transcript.pyannote[503].start 1631.67471875
transcript.pyannote[503].end 1633.31159375
transcript.pyannote[504].speaker SPEAKER_06
transcript.pyannote[504].start 1633.73346875
transcript.pyannote[504].end 1638.50909375
transcript.pyannote[505].speaker SPEAKER_06
transcript.pyannote[505].start 1638.64409375
transcript.pyannote[505].end 1662.92721875
transcript.pyannote[506].speaker SPEAKER_03
transcript.pyannote[506].start 1663.43346875
transcript.pyannote[506].end 1669.33971875
transcript.pyannote[507].speaker SPEAKER_03
transcript.pyannote[507].start 1669.60971875
transcript.pyannote[507].end 1672.37721875
transcript.pyannote[508].speaker SPEAKER_06
transcript.pyannote[508].start 1672.90034375
transcript.pyannote[508].end 1678.28346875
transcript.pyannote[509].speaker SPEAKER_03
transcript.pyannote[509].start 1678.38471875
transcript.pyannote[509].end 1678.40159375
transcript.pyannote[510].speaker SPEAKER_07
transcript.pyannote[510].start 1678.40159375
transcript.pyannote[510].end 1678.68846875
transcript.pyannote[511].speaker SPEAKER_06
transcript.pyannote[511].start 1678.68846875
transcript.pyannote[511].end 1684.83096875
transcript.pyannote[512].speaker SPEAKER_06
transcript.pyannote[512].start 1685.15159375
transcript.pyannote[512].end 1689.64034375
transcript.pyannote[513].speaker SPEAKER_06
transcript.pyannote[513].start 1690.11284375
transcript.pyannote[513].end 1692.89721875
transcript.pyannote[514].speaker SPEAKER_06
transcript.pyannote[514].start 1694.19659375
transcript.pyannote[514].end 1694.51721875
transcript.pyannote[515].speaker SPEAKER_06
transcript.pyannote[515].start 1694.65221875
transcript.pyannote[515].end 1695.66471875
transcript.pyannote[516].speaker SPEAKER_06
transcript.pyannote[516].start 1696.62659375
transcript.pyannote[516].end 1698.21284375
transcript.pyannote[517].speaker SPEAKER_06
transcript.pyannote[517].start 1698.58409375
transcript.pyannote[517].end 1701.30096875
transcript.pyannote[518].speaker SPEAKER_06
transcript.pyannote[518].start 1701.62159375
transcript.pyannote[518].end 1702.12784375
transcript.pyannote[519].speaker SPEAKER_05
transcript.pyannote[519].start 1706.05971875
transcript.pyannote[519].end 1707.30846875
transcript.pyannote[520].speaker SPEAKER_06
transcript.pyannote[520].start 1706.63346875
transcript.pyannote[520].end 1707.02159375
transcript.pyannote[521].speaker SPEAKER_05
transcript.pyannote[521].start 1708.25346875
transcript.pyannote[521].end 1711.94909375
transcript.pyannote[522].speaker SPEAKER_06
transcript.pyannote[522].start 1710.93659375
transcript.pyannote[522].end 1711.27409375
transcript.pyannote[523].speaker SPEAKER_06
transcript.pyannote[523].start 1712.42159375
transcript.pyannote[523].end 1717.11284375
transcript.pyannote[524].speaker SPEAKER_05
transcript.pyannote[524].start 1718.58096875
transcript.pyannote[524].end 1720.62284375
transcript.pyannote[525].speaker SPEAKER_06
transcript.pyannote[525].start 1720.45409375
transcript.pyannote[525].end 1721.24721875
transcript.pyannote[526].speaker SPEAKER_06
transcript.pyannote[526].start 1721.80409375
transcript.pyannote[526].end 1722.42846875
transcript.pyannote[527].speaker SPEAKER_06
transcript.pyannote[527].start 1724.40284375
transcript.pyannote[527].end 1725.36471875
transcript.pyannote[528].speaker SPEAKER_06
transcript.pyannote[528].start 1726.02284375
transcript.pyannote[528].end 1733.63346875
transcript.pyannote[529].speaker SPEAKER_01
transcript.pyannote[529].start 1733.36346875
transcript.pyannote[529].end 1734.79784375
transcript.pyannote[530].speaker SPEAKER_06
transcript.pyannote[530].start 1735.13534375
transcript.pyannote[530].end 1736.06346875
transcript.pyannote[531].speaker SPEAKER_06
transcript.pyannote[531].start 1736.45159375
transcript.pyannote[531].end 1739.48909375
transcript.pyannote[532].speaker SPEAKER_06
transcript.pyannote[532].start 1739.77596875
transcript.pyannote[532].end 1740.99096875
transcript.pyannote[533].speaker SPEAKER_06
transcript.pyannote[533].start 1741.07534375
transcript.pyannote[533].end 1745.78346875
transcript.pyannote[534].speaker SPEAKER_06
transcript.pyannote[534].start 1745.88471875
transcript.pyannote[534].end 1755.60471875
transcript.pyannote[535].speaker SPEAKER_06
transcript.pyannote[535].start 1757.30909375
transcript.pyannote[535].end 1763.43471875
transcript.pyannote[536].speaker SPEAKER_05
transcript.pyannote[536].start 1757.56221875
transcript.pyannote[536].end 1757.61284375
transcript.pyannote[537].speaker SPEAKER_05
transcript.pyannote[537].start 1757.62971875
transcript.pyannote[537].end 1758.06846875
transcript.pyannote[538].speaker SPEAKER_05
transcript.pyannote[538].start 1758.28784375
transcript.pyannote[538].end 1758.79409375
transcript.pyannote[539].speaker SPEAKER_05
transcript.pyannote[539].start 1764.00846875
transcript.pyannote[539].end 1766.86034375
transcript.pyannote[540].speaker SPEAKER_06
transcript.pyannote[540].start 1766.33721875
transcript.pyannote[540].end 1769.89784375
transcript.pyannote[541].speaker SPEAKER_05
transcript.pyannote[541].start 1770.58971875
transcript.pyannote[541].end 1771.80471875
transcript.pyannote[542].speaker SPEAKER_06
transcript.pyannote[542].start 1772.26034375
transcript.pyannote[542].end 1779.36471875
transcript.pyannote[543].speaker SPEAKER_05
transcript.pyannote[543].start 1772.98596875
transcript.pyannote[543].end 1773.64409375
transcript.pyannote[544].speaker SPEAKER_05
transcript.pyannote[544].start 1777.18784375
transcript.pyannote[544].end 1783.73534375
transcript.pyannote[545].speaker SPEAKER_06
transcript.pyannote[545].start 1783.36409375
transcript.pyannote[545].end 1783.68471875
transcript.pyannote[546].speaker SPEAKER_06
transcript.pyannote[546].start 1783.73534375
transcript.pyannote[546].end 1785.40596875
transcript.pyannote[547].speaker SPEAKER_05
transcript.pyannote[547].start 1785.40596875
transcript.pyannote[547].end 1785.45659375
transcript.pyannote[548].speaker SPEAKER_06
transcript.pyannote[548].start 1785.45659375
transcript.pyannote[548].end 1785.47346875
transcript.pyannote[549].speaker SPEAKER_06
transcript.pyannote[549].start 1785.94596875
transcript.pyannote[549].end 1786.62096875
transcript.pyannote[550].speaker SPEAKER_05
transcript.pyannote[550].start 1786.62096875
transcript.pyannote[550].end 1786.89096875
transcript.pyannote[551].speaker SPEAKER_06
transcript.pyannote[551].start 1786.89096875
transcript.pyannote[551].end 1786.94159375
transcript.pyannote[552].speaker SPEAKER_05
transcript.pyannote[552].start 1786.94159375
transcript.pyannote[552].end 1789.00034375
transcript.pyannote[553].speaker SPEAKER_06
transcript.pyannote[553].start 1789.00034375
transcript.pyannote[553].end 1792.89846875
transcript.pyannote[554].speaker SPEAKER_05
transcript.pyannote[554].start 1789.01721875
transcript.pyannote[554].end 1789.50659375
transcript.pyannote[555].speaker SPEAKER_05
transcript.pyannote[555].start 1790.68784375
transcript.pyannote[555].end 1795.21034375
transcript.pyannote[556].speaker SPEAKER_05
transcript.pyannote[556].start 1796.00346875
transcript.pyannote[556].end 1796.02034375
transcript.pyannote[557].speaker SPEAKER_06
transcript.pyannote[557].start 1796.02034375
transcript.pyannote[557].end 1797.87659375
transcript.pyannote[558].speaker SPEAKER_06
transcript.pyannote[558].start 1798.14659375
transcript.pyannote[558].end 1821.63659375
transcript.pyannote[559].speaker SPEAKER_05
transcript.pyannote[559].start 1804.13721875
transcript.pyannote[559].end 1805.97659375
transcript.pyannote[560].speaker SPEAKER_00
transcript.pyannote[560].start 1805.97659375
transcript.pyannote[560].end 1807.02284375
transcript.pyannote[561].speaker SPEAKER_07
transcript.pyannote[561].start 1807.02284375
transcript.pyannote[561].end 1807.15784375
transcript.pyannote[562].speaker SPEAKER_00
transcript.pyannote[562].start 1807.15784375
transcript.pyannote[562].end 1810.68471875
transcript.pyannote[563].speaker SPEAKER_05
transcript.pyannote[563].start 1821.99096875
transcript.pyannote[563].end 1828.25159375
transcript.pyannote[564].speaker SPEAKER_06
transcript.pyannote[564].start 1825.48409375
transcript.pyannote[564].end 1825.73721875
transcript.pyannote[565].speaker SPEAKER_06
transcript.pyannote[565].start 1826.34471875
transcript.pyannote[565].end 1829.95596875
transcript.pyannote[566].speaker SPEAKER_06
transcript.pyannote[566].start 1830.42846875
transcript.pyannote[566].end 1846.67909375
transcript.pyannote[567].speaker SPEAKER_01
transcript.pyannote[567].start 1832.38596875
transcript.pyannote[567].end 1833.11159375
transcript.pyannote[568].speaker SPEAKER_00
transcript.pyannote[568].start 1835.27159375
transcript.pyannote[568].end 1835.38971875
transcript.pyannote[569].speaker SPEAKER_05
transcript.pyannote[569].start 1835.38971875
transcript.pyannote[569].end 1835.40659375
transcript.pyannote[570].speaker SPEAKER_00
transcript.pyannote[570].start 1835.40659375
transcript.pyannote[570].end 1836.03096875
transcript.pyannote[571].speaker SPEAKER_02
transcript.pyannote[571].start 1836.03096875
transcript.pyannote[571].end 1836.30096875
transcript.pyannote[572].speaker SPEAKER_00
transcript.pyannote[572].start 1836.30096875
transcript.pyannote[572].end 1837.49909375
transcript.pyannote[573].speaker SPEAKER_07
transcript.pyannote[573].start 1837.49909375
transcript.pyannote[573].end 1839.43971875
transcript.pyannote[574].speaker SPEAKER_05
transcript.pyannote[574].start 1839.43971875
transcript.pyannote[574].end 1840.50284375
transcript.pyannote[575].speaker SPEAKER_07
transcript.pyannote[575].start 1840.50284375
transcript.pyannote[575].end 1844.11409375
transcript.pyannote[576].speaker SPEAKER_05
transcript.pyannote[576].start 1851.97784375
transcript.pyannote[576].end 1852.09596875
transcript.pyannote[577].speaker SPEAKER_05
transcript.pyannote[577].start 1852.21409375
transcript.pyannote[577].end 1852.23096875
transcript.pyannote[578].speaker SPEAKER_05
transcript.pyannote[578].start 1852.63596875
transcript.pyannote[578].end 1853.26034375
transcript.pyannote[579].speaker SPEAKER_05
transcript.pyannote[579].start 1853.76659375
transcript.pyannote[579].end 1858.47471875
transcript.pyannote[580].speaker SPEAKER_05
transcript.pyannote[580].start 1858.67721875
transcript.pyannote[580].end 1858.71096875
transcript.pyannote[581].speaker SPEAKER_06
transcript.pyannote[581].start 1858.71096875
transcript.pyannote[581].end 1862.30534375
transcript.pyannote[582].speaker SPEAKER_05
transcript.pyannote[582].start 1858.96409375
transcript.pyannote[582].end 1859.97659375
transcript.pyannote[583].speaker SPEAKER_07
transcript.pyannote[583].start 1859.97659375
transcript.pyannote[583].end 1860.04409375
transcript.pyannote[584].speaker SPEAKER_05
transcript.pyannote[584].start 1860.04409375
transcript.pyannote[584].end 1860.09471875
transcript.pyannote[585].speaker SPEAKER_06
transcript.pyannote[585].start 1863.55409375
transcript.pyannote[585].end 1864.34721875
transcript.pyannote[586].speaker SPEAKER_04
transcript.pyannote[586].start 1864.73534375
transcript.pyannote[586].end 1865.25846875
transcript.pyannote[587].speaker SPEAKER_06
transcript.pyannote[587].start 1865.51159375
transcript.pyannote[587].end 1866.00096875
transcript.pyannote[588].speaker SPEAKER_06
transcript.pyannote[588].start 1866.18659375
transcript.pyannote[588].end 1867.28346875
transcript.pyannote[589].speaker SPEAKER_06
transcript.pyannote[589].start 1867.80659375
transcript.pyannote[589].end 1869.76409375
transcript.pyannote[590].speaker SPEAKER_07
transcript.pyannote[590].start 1871.67096875
transcript.pyannote[590].end 1872.22784375
transcript.pyannote[591].speaker SPEAKER_07
transcript.pyannote[591].start 1872.44721875
transcript.pyannote[591].end 1872.58221875
transcript.pyannote[592].speaker SPEAKER_06
transcript.pyannote[592].start 1872.58221875
transcript.pyannote[592].end 1874.62409375
transcript.pyannote[593].speaker SPEAKER_07
transcript.pyannote[593].start 1872.59909375
transcript.pyannote[593].end 1874.33721875
transcript.pyannote[594].speaker SPEAKER_06
transcript.pyannote[594].start 1875.97409375
transcript.pyannote[594].end 1876.81784375
transcript.pyannote[595].speaker SPEAKER_07
transcript.pyannote[595].start 1877.02034375
transcript.pyannote[595].end 1880.56409375
transcript.pyannote[596].speaker SPEAKER_06
transcript.pyannote[596].start 1877.07096875
transcript.pyannote[596].end 1877.12159375
transcript.pyannote[597].speaker SPEAKER_06
transcript.pyannote[597].start 1877.35784375
transcript.pyannote[597].end 1883.07846875
transcript.pyannote[598].speaker SPEAKER_03
transcript.pyannote[598].start 1880.56409375
transcript.pyannote[598].end 1880.61471875
transcript.pyannote[599].speaker SPEAKER_06
transcript.pyannote[599].start 1883.87159375
transcript.pyannote[599].end 1884.37784375
transcript.pyannote[600].speaker SPEAKER_06
transcript.pyannote[600].start 1884.76596875
transcript.pyannote[600].end 1888.25909375
transcript.pyannote[601].speaker SPEAKER_07
transcript.pyannote[601].start 1884.78284375
transcript.pyannote[601].end 1887.02721875
transcript.pyannote[602].speaker SPEAKER_06
transcript.pyannote[602].start 1888.42784375
transcript.pyannote[602].end 1893.43971875
transcript.pyannote[603].speaker SPEAKER_05
transcript.pyannote[603].start 1891.87034375
transcript.pyannote[603].end 1892.03909375
transcript.pyannote[604].speaker SPEAKER_01
transcript.pyannote[604].start 1899.71721875
transcript.pyannote[604].end 1904.59409375
transcript.whisperx[0].start 16.132
transcript.whisperx[0].end 23.994
transcript.whisperx[0].text 主席謝謝 麻煩請卓榮泰院長麻煩再請卓院長備詢另外今天問到的相關議題部會首長該上來就請上來 謝謝
transcript.whisperx[1].start 32.455
transcript.whisperx[1].end 54.568
transcript.whisperx[1].text 紅委員好 院長早 院長我們今天一年兩次的總諮詢特別跟您就教非常多的國家大事議題我們也希望台灣能夠更好 中華民國能夠更強所以在今年的10月10號國慶大典裡面看到賴總統跟我們國慶籌辦委員會的主席韓院長也都分別有做相關的支持
transcript.whisperx[2].start 55.228
transcript.whisperx[2].end 77.842
transcript.whisperx[2].text 我們不希望報喜不報憂我們當然希望台灣越來越好所以韓院長其實在這個國慶大典講話的時候有講出影響台灣未來的三座隱形的映射壺不能台海有戰爭不能放任政黨無死線的惡鬥以及希望對美關稅談判順利院長你認同嗎
transcript.whisperx[3].start 79.353
transcript.whisperx[3].end 101.31
transcript.whisperx[3].text 這個都是我們日常的工作也是 所以說您認同嗎韓院長這樣子講有沒有惡意韓院長以大會主席的身份在大會的現場所講的話就是我們在現場聽到大會主席整個籌備以及對大會的期許當然有對政府的期許都聽到了立法院院長是最高的民意殿堂的首長
transcript.whisperx[4].start 102.082
transcript.whisperx[4].end 125.471
transcript.whisperx[4].text 而他代表2350萬人來對政府提出建言也希望中華民國生日許下三個願望往前走說實在話套一句現在網路流行的方向就是希望讓卓院長領導的團隊施政起來能夠匆匆忙忙游刃有餘嘛不要遇到問題的時候才匆匆忙忙連滾帶爬但一樣啊
transcript.whisperx[5].start 127.717
transcript.whisperx[5].end 145.056
transcript.whisperx[5].text 在這一次講完之後綠營居然出征說唱衰還說家醜外揚院長是事實嗎你的主體叫綠營這個你要去借鏡他到底是哪一方來的所以你現在不認為你是綠營的一份子我們是中華民國行政院好
transcript.whisperx[6].start 145.802
transcript.whisperx[6].end 157.377
transcript.whisperx[6].text 院長有這樣的一個行政中立就好因為本席認為這是什麼樣的威權心態如果說連善良的正向的正面的建言都不能提的話那國家不會進步
transcript.whisperx[7].start 159.281
transcript.whisperx[7].end 186.077
transcript.whisperx[7].text 來 院長我們就繼續來討論三個議題第一 我們希望政黨不要無限的惡鬥所以很重要一個部分中央地方要一條心請教一下 輝達現在是一個國際大家都重視的高科技公司他選定 沒有錯台北市政府的兩塊地但實際上我們中央部會不管經濟部 不管商務部共同的來協助因為重點只有一個
transcript.whisperx[8].start 187.116
transcript.whisperx[8].end 198.176
transcript.whisperx[8].text 就是讓輝達留在台灣不管留在哪個縣市留在台灣就是我們的主體院長現在有一些分分老老請教有沒有信心輝達一定留在台灣
transcript.whisperx[9].start 198.988
transcript.whisperx[9].end 228.671
transcript.whisperx[9].text 第一個介紹法律問題我覺得這個法律問題不難解決所以大家要一起來解決嘛第二個是我們的經濟發展問題就是經濟發展 高科技的發展我們一定要把像輝達這種國際性大廠留在台灣這是我們共同的共識第三個在政治上如果台北市政府需要中央政府如何的協助我們已經協助有任何需要我們可以再跟台北市政府來合作如果說台北市留不住其他地方願意也可能留住的話我們也願意來促成
transcript.whisperx[10].start 228.931
transcript.whisperx[10].end 256.263
transcript.whisperx[10].text 我們有看到現在也有提供松南跟林口兩塊地一個在台北一個在新北也剛好是本席的選區不過本席開宗明義就強調重點是留在台灣只要留在台灣不管是台北新北我們都雙手贊成樂觀其成所以我再強調一次院長有沒有信心協助台北市因為現在確實有紛紛擾擾啊而且看到的是現在某家企業他占住這個土地他感覺是在綁架全國人民啊
transcript.whisperx[11].start 256.926
transcript.whisperx[11].end 266.535
transcript.whisperx[11].text 因為全國人民期待輝達要留在台灣所以說他就刻意要講是說想要繞過台北市政府要跟輝達直接談我們公有地可以這樣私相授受嗎
transcript.whisperx[12].start 267.967
transcript.whisperx[12].end 288.124
transcript.whisperx[12].text 那屬於中央政府包括內政部該協助核定的一些地上權移轉的問題我們都已經核定了我剛剛說過如果還需要做一些工作讓留在台北中央需要做也合法可以做我們願意做如果台北市沒有辦法願意到其他各縣市我們也願意協助但這個要看這個輝達他本身在這裡設廠投資的
transcript.whisperx[13].start 289.005
transcript.whisperx[13].end 303.837
transcript.whisperx[13].text 所以不能讓他離開嘛本席現在講的重點在於是說揮打有揮打的想法但是既然揮打已經開眾民意表達說他是要來台灣留在台北市不只是台北市有光台灣也有光 濁內閣團隊也有光
transcript.whisperx[14].start 306.54
transcript.whisperx[14].end 323.68
transcript.whisperx[14].text 因為T17 18當然他們還在溝通協調但是輝達他還是要讓經濟部說如果17萬一啦我只問一句話啦主委員長有信心讓輝達留在台灣你會做到
transcript.whisperx[15].start 325.009
transcript.whisperx[15].end 353.4
transcript.whisperx[15].text 百分之百使命必達我們是花最大的決心跟力道希望他留下來所以如果說真的揮打離開的話這就不是只有地方政府的責任中央地方共同承擔可以嗎但是台北市政府必須先把他的法律問題先處理好我覺得這個不難處理來中央地方共同解決再來第二個部分好的事情我們一起來追求我們上禮拜看到新加坡他研議
transcript.whisperx[16].start 354.605
transcript.whisperx[16].end 382.787
transcript.whisperx[16].text 要讓詐騙犯罪使用鞭刑我們過去在這邊也有專案報告我們也討論詐騙討論非常多我們也一直強調是說詐騙惡可惡至極應該嚴刑峻法新加坡願意往前邁進這一步考慮這樣的一個事情那我知道因為現在台灣沒有鞭刑這樣的一個刑責那可是國人其實普遍對這個議題是非常有感的
transcript.whisperx[17].start 383.53
transcript.whisperx[17].end 396.109
transcript.whisperx[17].text 那我現在具體的請教院長您怎麼看台灣有沒有資格有沒有權利或說有沒有方法能夠來研究別的國家已經在做的部分我們來思考怎麼樣來嚇阻詐騙不讓詐騙氾濫
transcript.whisperx[18].start 400.839
transcript.whisperx[18].end 428.562
transcript.whisperx[18].text 這樣邊形的說法我相信在民間是有一些支持的聲音但是更有一些人權的討論我們一直從學校 校園都已經討論誰的人權犯罪者的人權是 是有一些討論犯罪者的人權你現在是要保護犯罪者的人權不是 我說民間有一些團體是在討論這個沒有錯吧我知道是有人支持的但是我們想的做法是我們如何從速審速決而且能夠合理的刑度來讓這些
transcript.whisperx[19].start 430.148
transcript.whisperx[19].end 453.466
transcript.whisperx[19].text 犯罪者能夠受到社會的感化現在不是這樣做嗎現在不是就是速審速決讓犯罪者要感化但是一樣就是我們詐騙持續猖獗跟委員報告我現在先請教院長院長現在就是這樣所以我們今年度才會有專案報告新加坡今年我給院長一個數字新加坡今年上半年度被詐騙是107億台幣
transcript.whisperx[20].start 456.308
transcript.whisperx[20].end 475.266
transcript.whisperx[20].text 反觀台灣今年上半年被詐騙的數字是480億台幣是新加坡的四倍之不多如果新加坡被詐騙只有台灣的四分之一都選擇考慮用這樣子嚴刑峻法來去嚇阻詐騙那台灣憑什麼我們沒有更積極的作為
transcript.whisperx[21].start 476.409
transcript.whisperx[21].end 502.375
transcript.whisperx[21].text 跟委員報告這個事實上我們非常重視這一種的打詐的一個效用所以我們詐偽條例我們有研議在修更重的一個處罰部長你越講話會越失分啦我是希望院長能夠來正視這問題院長我直接我沒有說現在一定因為現在國情有不同討論有不同但是我具體提兩個建議您先聽聽看能做就說能做不能做就說不能做第一
transcript.whisperx[22].start 503.509
transcript.whisperx[22].end 521.807
transcript.whisperx[22].text 請法務部研究把邊形納入台灣的中華民國憲法並且研究可行性討論相關執行的費用可能受罰的範圍以及利弊得失來做未來行政院跟立法院立法的參考
transcript.whisperx[23].start 523.736
transcript.whisperx[23].end 540.047
transcript.whisperx[23].text 請外交部跟駐新加坡辦事處來跟新加坡政府了解他們現在已經在推動的邊形包含什麼樣的方向什麼樣的一個目的以及推行的成效可能面對的問題還有因應之道
transcript.whisperx[24].start 541.361
transcript.whisperx[24].end 557.709
transcript.whisperx[24].text 綜合兩個地方判斷他三之十可以公錯我們可以請法務部來做可行性評估就如同所有的重大建設不是一下子馬上就編預算做執行啊而是我們先做可行性評估但可行性評估半年裡面提出來我們來針對這個議題共同來討論行不行委員剛剛說要
transcript.whisperx[25].start 563.976
transcript.whisperx[25].end 582.475
transcript.whisperx[25].text 加入到憲法 那這個難度不大那這個是委員建議我們聽到了我想請法務部下巴先了解一下我們適不適合在這個時候做可行性評估 這個要先做所以我現在要做可行性評估的可行性評估時間暫停 那麼外交部長要不要備選
transcript.whisperx[26].start 586.127
transcript.whisperx[26].end 605.892
transcript.whisperx[26].text 請外交部長好不好剛有提到外交部這是第一個另外就是現在在世界院長我確認一下詐騙已經猖獗那麼多每天有一億多兩億的詐騙現在國人生物痛絕然後你跟我講說你要做可行性評估的可行性評估我們在做其他的方面都有在做努力
transcript.whisperx[27].start 607.093
transcript.whisperx[27].end 626.828
transcript.whisperx[27].text 就是现在其他方面都在努力但是诈骗还是那么猖獗所以我们才想请教说我们有没有更积极的做法我相信边形这个制度并不是现在世界上大多数国家所有的或许有一部分国家是有那我们是不是适合在这个时候来讨论边形不适合的理由是什么
transcript.whisperx[28].start 627.683
transcript.whisperx[28].end 641.043
transcript.whisperx[28].text 社會上還有一些討論對立的意見如果說現在80% 90%的人看到都是認為說我們需要用更強硬的態度詐騙生物痛覺本席也認同在場吳宗憲委員也在啊
transcript.whisperx[29].start 641.923
transcript.whisperx[29].end 667.079
transcript.whisperx[29].text 法律是對好人越好對壞人越壞我們就是要保護好人是就是保護好人所以嚴刑峻法並不是違反人權嚴刑峻法就是保護好人而且我們對犯罪者希望的是他經過一定的行動之後他不要再犯那是不是邊刑就會不要再犯邊刑完之後也可以不要再犯邊刑完之後讓他通知到說他更不要犯請法務部先去了解一下要不要做這個可行性兵覆
transcript.whisperx[30].start 668.58
transcript.whisperx[30].end 690.442
transcript.whisperx[30].text 法務部還要了解要不要做這個可行性評估所以這就是可行性評估之前的可行性評估先了解一下民意現在到底對這樣的支持來研究這個制度目前民意的制度你不覺得你現在是在搪塞國人嗎也是在搪塞本席我們是很務實在做我們很希望是說了解外交部那外交部能不能做剛剛講的這部分
transcript.whisperx[31].start 691.727
transcript.whisperx[31].end 710.763
transcript.whisperx[31].text 這不屬於外交部的主管業務請外交部跟新加坡政府了解一下說你們做的怎麼樣好不好有什麼樣的問題我們的總統院長講說用邊形可能會違反人權你們有沒有遇到這樣的困難這樣不行那外交部說不是他很責任
transcript.whisperx[32].start 712.957
transcript.whisperx[32].end 728.48
transcript.whisperx[32].text 如果在這裡跟委員討論兩公約那是另外一個層次我討論的是我們民間對邊形我知道有人在討論有人是贊成支持的就是因為本席上禮拜看到我不是無敵放矢
transcript.whisperx[33].start 730.016
transcript.whisperx[33].end 749.378
transcript.whisperx[33].text 本席是上禮拜看到新加坡已經要把納入詐騙變成邊形的一環我相信新加坡之前也做過很多討論跟功課也因此本席才會強調是說我們是不是透過外交管道來跟新加坡政府了解你們過去討論的狀況面臨到的問題以及你們怎麼說服國人
transcript.whisperx[34].start 750.623
transcript.whisperx[34].end 765.089
transcript.whisperx[34].text 那另外我們內部自己研究可行性評估推動會遭遇到哪些困難大家普遍的問題以及我們要所用的費用還有如果說真的實施之後會不會怕做個民調吧
transcript.whisperx[35].start 766.174
transcript.whisperx[35].end 783.602
transcript.whisperx[35].text 如果跟外交的管道我倒不如由法务部从检察官去做一些司法的协力那这个边形制度在新加坡实施之后他对在犯是不是完全的降低本席也建议我们的韩院长说是不是我们下一次的国会外交可以考虑前往新加坡
transcript.whisperx[36].start 784.082
transcript.whisperx[36].end 808.709
transcript.whisperx[36].text 我們邀請三黨的委員也一起前往由韓院長帶團我們到新加坡也去針對他們的住宅問題他們的都市計畫以及司法打詐的部分我們來去做一個研究雙管齊下啊但你不能今天如果說你今天要這樣子跟我們講的話我沒有拒絕委員的意思所以半年內提出來台灣實施邊形來嚇阻打擊詐騙
transcript.whisperx[37].start 810.009
transcript.whisperx[37].end 828.762
transcript.whisperx[37].text 甚至虐童案等部分讓這樣子的犯罪者得到應有的制裁可以吧請部長說這部分那委員寶貴的意見那我想這是一個聲音的確是那個行不行一句話半年因為我還有很多意見那我想說我們會廣大意見我們來研究它那個可行性的做一個評估
transcript.whisperx[38].start 829.369
transcript.whisperx[38].end 848.985
transcript.whisperx[38].text 所以部長是承諾了他要做可行性評估要廣納意見當然我們是要廣納意見玩文字遊戲是不是沒有 這個是因為一個法案尤其這一則這個不是我們刑法規定的一個刑法的方式就是因為不是所以我們才要謹慎也因此我們才希望是說由行政部門這邊來做一個可行性評估
transcript.whisperx[39].start 851.607
transcript.whisperx[39].end 868.283
transcript.whisperx[39].text 二次詐欺的一個猖獗我想我們很多的一個手段像我們那個詐偽條例我們現在也要再查一個修法我問你修法而且那個假設你越講就四分越多我們全部都在做了我不騙你你越講四分越多來院長
transcript.whisperx[40].start 869.375
transcript.whisperx[40].end 894.875
transcript.whisperx[40].text 成功的人找方法 失敗的人找藉口要不要做我們找好的方法來做半年內提出邊形的可行性評估行不行我們就算要直接修法 也要廣聽各界的意見沒錯 因此我才會說我沒有現在立即就要去提案但是我希望是行政部門 外交部門 司法部門提出可行性評估一句話
transcript.whisperx[41].start 895.715
transcript.whisperx[41].end 924.62
transcript.whisperx[41].text 剛剛部長講他會廣大意見來進行可信性評估的研議看能不能這個時候起一個什麼樣的程序才會進入到程序裡國人都看到了這就是我們行政院卓榮泰院長以及法務部外交部的態度再來院長因為問題比較多我們下一個議題其實討論就是韓院長也在國慶大典裡面都提到了就是希望台美的關稅談判越來越好我們都希望成功因為
transcript.whisperx[42].start 925.723
transcript.whisperx[42].end 943.844
transcript.whisperx[42].text 經濟好 台灣好 台灣人民才會幸福但是我們先看到有一個新聞讓我們非常遺憾大學生繳不出學費輕生那一萬八的學費一萬八千塊台幣換算美金六百元不到
transcript.whisperx[43].start 944.994
transcript.whisperx[43].end 974.184
transcript.whisperx[43].text 如果說我們一位20歲的學生因為繳不出600元美金的學費而選擇輕生的話我覺得這是大家都難過的事情這件事情凸顯什麼凸顯第一這個家庭他原本就是一個比較清喊的家庭第二學校的溝通聯繫沒有做好一萬八我相信一定還有很多管道有地方政府有中央政府的補助的部分那這樣子一個狀況
transcript.whisperx[44].start 975.646
transcript.whisperx[44].end 979.719
transcript.whisperx[44].text 容許發生嗎可是確實已經發生了五天前院長
transcript.whisperx[45].start 981.084
transcript.whisperx[45].end 1007.138
transcript.whisperx[45].text 要不要說一下對這件事情的態度覺得很遺憾跟惋惜一個年輕的生命就這樣失去了但是政府在這個方面有做到相當多的措施也許我們在宣導在學校的主動關懷如果說真的有做到相當多的措施的話就不會發生這樣的憾事因為至少我們還有學貸我們還有每年還有三萬五千元的私立學校的補助等等對親韓的我們還會加碼還會讓這樣的事情發生嗎所以可能在學校的主動關懷的還會讓這樣的事情發生嗎
transcript.whisperx[46].start 1010.02
transcript.whisperx[46].end 1024.812
transcript.whisperx[46].text 那這個部分請教育部來部長你會後給我書面報告因為我還有另外的問題好不好會後給我另外的書面報告因為我要完整的了解教育部未來可以怎麼做我們也充電了全校在整個
transcript.whisperx[47].start 1025.592
transcript.whisperx[47].end 1054.707
transcript.whisperx[47].text 部長我的時間有限會後給我另外書面報告因為我還有其他議題可以沒有問題我們事實上對這個事跟委員的心情是一樣的提出來是說經濟很重要 莫忘世上苦人多那一樣剛剛下一位蔡時昌委員也質詢到台美關稅而造成中小企業都非常的辛苦那我們看到副總統有講了承諾在美投資不只台積電還包括整個生態系
transcript.whisperx[48].start 1055.424
transcript.whisperx[48].end 1074.626
transcript.whisperx[48].text 但昨天經濟委員會在開會的時候國發會主委居然一問三不知國發會主委居然講的是說事情不知情不管是台積電要去美國還是生態系要去美國那國人只想問一句話生態系到底包括多大範圍
transcript.whisperx[49].start 1077.066
transcript.whisperx[49].end 1089.018
transcript.whisperx[49].text 所謂生態系當然是包括垂直供應鏈跟他的協力廠商都是整個生態系所以是全部都要過去所以全部都要過去我們承諾美國投資全部都要過去不然怎麼會我們的副總統會講是說我們上一張簡報
transcript.whisperx[50].start 1099.178
transcript.whisperx[50].end 1126.839
transcript.whisperx[50].text 不只台積電 我們承諾在美投資還包括整個生態系上下游 資源服務 人才培育全部都過去不是過去啦 是力量的延伸啦在那邊 本來在台灣就會立足台灣那因為 就廠商而言你到海外去全球佈局的話一定第一個要有訂單嘛第二個要可以賺錢院長 我們現在都是看到浪利的狀況但是我們台灣的談判到底我們獲得了什麼
transcript.whisperx[51].start 1127.399
transcript.whisperx[51].end 1140.346
transcript.whisperx[51].text 到目前為止還是持續沒有辦法看到那雙方談判已經到最後這個階段了什麼時間點談判會有一個技術性的問題有進行相當的磋商那最後要有一個總結會議總結會議預計會在什麼時候那總結會議之前還要做很多文書的交換總結會議預計會在什麼時候
transcript.whisperx[52].start 1147.769
transcript.whisperx[52].end 1168.87
transcript.whisperx[52].text 這個我們期待是儘快的時間讓國內的產業能夠安定下來院長有沒有注意到另外一個國際上的新聞是現在有可能川習會預計在這個月底是川普跟習近平要見面美中兩大強權而川普在昨天晚上被問到說川習會的時候就已經有講到是說台灣議題會是討論之一
transcript.whisperx[53].start 1171.277
transcript.whisperx[53].end 1188.592
transcript.whisperx[53].text 那如果說我們現在都還持續溝通討論會不會影響在十月底的所謂的川習會我們的最終談判到底是會在十月底還是我們可以撐過十月底還是我們現在是變成是哪一個人的籌碼院長美中兩國之間有這個千絲萬縷的關係跟談判的內容
transcript.whisperx[54].start 1190.774
transcript.whisperx[54].end 1216.63
transcript.whisperx[54].text 那台灣跟美國同樣站在世界AI關鍵領先地位這個角色不論是台灣協助美國或是台灣一起跟美國一起再壯大起來我也相信川普總統即使跟習主席在見面的時候應該站在美國台灣跟世界共同利益的角度上你覺得川普總統見面的時候會把美國跟台灣綁在一起還有世界共同利益
transcript.whisperx[55].start 1217.403
transcript.whisperx[55].end 1234.981
transcript.whisperx[55].text 這是你覺得你猜測你樂觀的想法還是你有什麼樣的情誌可以佐證你的說法我相信世界共同利益包括經濟的利益包括民主政治的利益包括地緣關係的利益有沒有具體在談判的過程裡面有討論到台灣如果說川普你要去跟習近平講
transcript.whisperx[56].start 1237.145
transcript.whisperx[56].end 1266.414
transcript.whisperx[56].text 台灣的利益你要怎麼樣守護我們從歷屆這麼多時間以來多位美方的重要官員跟川普總統講話當中我們可以看到剛剛說的世界共同利益 經濟利益跟民主的利益都有在他們談話當中那我現在當然不能去界定美中兩國談判要談什麼內容但我相信如果提到台灣應該要站在世界共同利益那川普總統已經講了台灣議題會是討論的重點之一只是他不想跟記者宣布
transcript.whisperx[57].start 1266.934
transcript.whisperx[57].end 1293.27
transcript.whisperx[57].text 那我們有沒有透過外交管道或是其他管道馬上去了解說那到底川普總統所謂的台灣議題會是什麼目前沒掌握所以你不能講我們有什麼管道沒有什麼管道嗎外交部長就在你旁邊啊你的管道不就是外交部長嗎報告委員不管跟AIT或跟我們駐美代表處都有很密切跟美國政府表示聯繫中院長
transcript.whisperx[58].start 1297.871
transcript.whisperx[58].end 1326.712
transcript.whisperx[58].text 看起來這一題也是無解啦不過本席真的由衷的希望站在中華民國的立場好好的捍衛兩千三百五十萬人的權益是啊剛剛講過的世界的利益台灣美國共同的利益就是這個立場啊來兩位部長請回李陽部長麻煩您麻煩請運動部長再來討論本席先講喔剛剛蔡吉山委員有提到所謂的台灣棒球博物館這是本席在運動部組織發展法的時候討論
transcript.whisperx[59].start 1327.971
transcript.whisperx[59].end 1350.882
transcript.whisperx[59].text 組織法的時候就已經正式提案成為但書運動部要成立就要籌備台灣運動博物館也獲得立院三讀通過所以部長這個不是一個選項這是一個必要之作推動的事情這我希望部長能夠了解不過部長我比較想要跟您探討了解的是足協的問題10月14號中華男竹
transcript.whisperx[60].start 1358.082
transcript.whisperx[60].end 1380.175
transcript.whisperx[60].text 輸給了泰國1比6分數多少其實說實在話運動有輸有贏有輸過沒怕過但我們不能輸給的是自己人在這一次10月14號打完之後我們看到男足訓練是吃便當是在河濱公園球場來練習不是專業的場館
transcript.whisperx[61].start 1383.723
transcript.whisperx[61].end 1409.21
transcript.whisperx[61].text 住泰國是住1000塊的快捷旅店沒有健身房說穿了那就是一個商務旅館只能睡覺沒有任何的訓練甚至回家想要泡個澡可能都沒有浴缸球員的球衣還沒有名字那這些都是過去累積下來的惡習本期有看到李洋部長講說嚴重警訊那我現在只想要請教部長
transcript.whisperx[62].start 1411.496
transcript.whisperx[62].end 1434.705
transcript.whisperx[62].text 怎麼做來改革這是國人給你的期待各位30秒具體的講出你要怎麼改革主席關於協會的部分關於我們其實我身為運動員剛退役沒多久其實我們一直知道我們運動員的聲音很不容易會傳到協會所以我們已經針對運動員做了明年會有運動員委員會那我們希望運動員的聲音可以傳遞到運動員委員會會把各單項納入
transcript.whisperx[63].start 1437.446
transcript.whisperx[63].end 1465.402
transcript.whisperx[63].text 各單項的協會都有運動員委員會那過往是用指定理事長指派那我們用選舉的方法我們作為讓運動員去選舉所以我可以理解就像是各單項都會有類似球員公會的概念運動員委員會嘛就是他是運動員會員推選出來變成一個理事長運動員會有運動員委員會他會有運動員自己推選出他自己運動員的但是各單項都有
transcript.whisperx[64].start 1466.567
transcript.whisperx[64].end 1494.787
transcript.whisperx[64].text 所以棒球協會有棒球運動員委員會籃球協會有籃球運動員委員會足球協會有足球運動員委員會對那運作的方式資金他們半年會召開至少召開一次會議然後提供想法跟建議然後由我們運動部同時去了解到這樣本席記得這也是我們之前在教育文化委員會裡面正式立法通過但本席更希望的是
transcript.whisperx[65].start 1495.913
transcript.whisperx[65].end 1516.953
transcript.whisperx[65].text 我們看到怎麼樣因為即便成立就像現在勞資雙方也會有很不對等的地方資方總是比較強勢勞方總是比較弱勢所以運動部站在運動天平的兩端就是要幫忙勞資雙方來取得一個平衡那我現在想問的是說除邪這樣子的一個長久下來的惡習甚至現在我們看到
transcript.whisperx[66].start 1517.493
transcript.whisperx[66].end 1531.795
transcript.whisperx[66].text 在公眾政策平台裡面也有人提案落實全民參與督促逐協的財務其實很簡單啦財務先公開透明你資方就比較難有任何上下其手的地方
transcript.whisperx[67].start 1532.643
transcript.whisperx[67].end 1547.744
transcript.whisperx[67].text 過去有發生什麼便當發票一次隨便報然後我們還是給他核銷那這樣子的一個狀況能不能改善委員報告我們目前會有兩年一次的財務查核那當然在協會的部分你講都是現況嘛
transcript.whisperx[68].start 1549.306
transcript.whisperx[68].end 1575.614
transcript.whisperx[68].text 但就是因為現況下來長久累積還會有那麼多的問題所以我們才希望看到新人新氣象的部長改善那我們也希望用足協這個案例讓更多協會了解到全民都對運動協會這件事情非常在意那當然關於財務的部分我們希望說他們能夠做到公平公正公開聽起來是很好的說詞但是具體怎麼做部長
transcript.whisperx[69].start 1577.058
transcript.whisperx[69].end 1597.979
transcript.whisperx[69].text 本席現在不是要讓你練口才跟演講比賽但你可不可以告訴本席以及關心運動的所有朋友你具體怎麼做當然在關於查核這部分我們有請我們競技師去做相關的做法那當然在協會這部分我們一定是作為我們最重要的任務之一
transcript.whisperx[70].start 1599.742
transcript.whisperx[70].end 1624.083
transcript.whisperx[70].text 院長滿意剛剛部長的答詢嗎委員您跟我都不是運動選手所以我們對運動有高度的關心興趣是期許但李部長他自己是運動選手他最知道怎麼做他只要做出來給大家看我請求大家支持來部長我不為難你你會後提供本席相關你願意具體怎麼做的報告可以嗎
transcript.whisperx[71].start 1625.124
transcript.whisperx[71].end 1648.019
transcript.whisperx[71].text 我只求一件事我希望我們的足球也好我們的運動也好每一個不一定我們馬上短期內可以中華隊打進世界盃我覺得那還是有點距離但是我們至少可以是讓我們的球迷大聲的呼喊大聲的支持讓我們的球隊在去比賽的時候可以很驕傲的
transcript.whisperx[72].start 1648.439
transcript.whisperx[72].end 1672.157
transcript.whisperx[72].text 就像棒球迷就像羽球迷去為林陽沛加油的時候我們很驕傲的拿出我們的國旗我也希望我們的選手能夠很驕傲的站上戰場即便輸我們也是很驕傲的挺直中黨離開戰場這樣可以嗎公委員您報告那所有改革都需要時間那我們當然希望運動部今年成立我們希望說會最對協會的部分會做出改善
transcript.whisperx[73].start 1672.93
transcript.whisperx[73].end 1701.906
transcript.whisperx[73].text 好謝謝部長來院長最後3分鐘本席再來討論地方議題淡江大橋你也來看過是明年5月12號會正式完工那通車大家都很期待但是隨著淡江大橋通車淡海科學城的發展才是重中之重來淡海科學城賴清德總統的政見那時候說新北123那淡海科學城現在
transcript.whisperx[74].start 1706.372
transcript.whisperx[74].end 1733.813
transcript.whisperx[74].text 現在進度我們再了解一下淡海科學城目前的進度不在院裡面我沒有提供幕僚作業說我會問什麼問題你就沒有辦法回答我現在說手上沒有淡海科學城部長 院長淡海科學城內政部這跟交通部真的比較沒有直接關係所以其實交通部站起來然後內政部到現在還坐在那邊不動我也覺得很訝異麻煩請內政部長備選
transcript.whisperx[75].start 1735.405
transcript.whisperx[75].end 1754.118
transcript.whisperx[75].text 國土署做淡海新市鎮二期的開發而其中國土署有發函給國發會有發函給經濟部要求國發會經濟部跟地方政府共同來討論我們怎麼樣來做淡海科學城這是賴清德總統兩年多前在競選總統時候的政見
transcript.whisperx[76].start 1757.395
transcript.whisperx[76].end 1769.075
transcript.whisperx[76].text 就我現在好像講了之後跟中央部會沒有半點關係內政部不知道 經濟部不知道 國防會不知道請內政部來說明目前有沒有相關進度院長 如果說您是我你可以接受官員是這種態度嗎
transcript.whisperx[77].start 1770.589
transcript.whisperx[77].end 1794.999
transcript.whisperx[77].text 我自己會先了解清楚我了解了就是我那麼了解結果你完全不清楚所以我才想要問你說如果你是我你可以接受官員這種態度嗎我現在手上真的沒有淡海科學的進度看內政部來說明那您覺得淡海科學層重不重要一定重要嘛如果我們在未來發展AI是不是過去就變成說其實過去沒有討論到科技均衡發展是均衡台灣重要的一環
transcript.whisperx[78].start 1796.049
transcript.whisperx[78].end 1821.343
transcript.whisperx[78].text 院長我具體建議好不好您能不能因為科學層真的很重要我覺得內政部的態度或是說他的速度真的讓國人沒有那麼大的期待尤其明年淡江大橋五月就要通車了能不能只派一個政委來統合內政部經濟部國發會針對淡海科學層這也是賴清德總統的政見我們幫賴清德總統兌現支票可以嗎
transcript.whisperx[79].start 1822.063
transcript.whisperx[79].end 1846.389
transcript.whisperx[79].text 因為內政部還沒有來說明過如果這個科學層的部分當然是國科會的政委內政部還沒有討論到這個案子那拜託我們不要讓淡水人覺得我們比較適合法委員我想您誤會了不是內政部沒有討論這個案子你當官院長就講說內政部沒有報告過嘛所以我說那能不能取一個政委針對相關比較經濟專長的政委我們來專案研究這個案子院長可以嗎
transcript.whisperx[80].start 1857.45
transcript.whisperx[80].end 1858.25
transcript.whisperx[80].text 未來你找國科會主委我找哪一位國科會主委未來我就對著你國科會主委現在都給經濟部了
transcript.whisperx[81].start 1899.747
transcript.whisperx[81].end 1901.748
transcript.whisperx[81].text 好 謝謝洪文凱委員質詢謝謝卓院長 相關部會所長備詢 謝謝