iVOD / 161753

Field Value
IVOD_ID 161753
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/161753
日期 2025-05-21
會議資料.會議代碼 委員會-11-3-20-13
會議資料.會議代碼:str 第11屆第3會期財政委員會第13次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 13
會議資料.種類 委員會
會議資料.委員會代碼[0] 20
會議資料.委員會代碼:str[0] 財政委員會
會議資料.標題 第11屆第3會期財政委員會第13次全體委員會議
影片種類 Clip
開始時間 2025-05-21T12:32:06+08:00
結束時間 2025-05-21T12:45:34+08:00
影片長度 00:13:28
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/e381da0d479eb7dbc4190f20be1ac29cda433bb611ec39b925d7a793ed12253245705032a5a81be55ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王世堅
委員發言時間 12:32:06 - 12:45:34
會議時間 2025-05-21T09:00:00+08:00
會議名稱 立法院第11屆第3會期財政委員會第13次全體委員會議(事由:一、邀請財政部、金融監督管理委員會、中央銀行就「房屋稅2.0課徵亂象與金融機構對不動產融資緊縮及中央銀行信用管制措施對房地產交易之影響」進行專題報告,並備質詢。 二、處理中華民國114年度中央政府總預算決議有關金融監督管理委員會主管預算凍結書面報告案39案。【報告事項】 三、處理中華民國114年度中央政府總預算決議有關金融監督管理委員會主管預算凍結專案報告案9案。【討論事項】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 1.92096875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 2.71409375
transcript.pyannote[1].end 3.47346875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 8.82284375
transcript.pyannote[2].end 11.80971875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 12.24846875
transcript.pyannote[3].end 16.16346875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 16.87221875
transcript.pyannote[4].end 18.49221875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 19.09971875
transcript.pyannote[5].end 22.45784375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 23.01471875
transcript.pyannote[6].end 26.60909375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 27.36846875
transcript.pyannote[7].end 28.11096875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 29.47784375
transcript.pyannote[8].end 30.35534375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 30.70971875
transcript.pyannote[9].end 32.14409375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 33.25784375
transcript.pyannote[10].end 33.69659375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 34.05096875
transcript.pyannote[11].end 41.81346875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 42.10034375
transcript.pyannote[12].end 45.98159375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 46.04909375
transcript.pyannote[13].end 54.62159375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 54.70596875
transcript.pyannote[14].end 56.30909375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 56.76471875
transcript.pyannote[15].end 58.30034375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 58.92471875
transcript.pyannote[16].end 60.30846875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 61.03409375
transcript.pyannote[17].end 63.19409375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 63.83534375
transcript.pyannote[18].end 69.45471875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 70.34909375
transcript.pyannote[19].end 73.82534375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 74.24721875
transcript.pyannote[20].end 82.41471875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 83.12346875
transcript.pyannote[21].end 84.82784375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 85.82346875
transcript.pyannote[22].end 101.19659375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 101.97284375
transcript.pyannote[23].end 102.76596875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 103.54221875
transcript.pyannote[24].end 109.22909375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 110.30909375
transcript.pyannote[25].end 111.86159375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 112.68846875
transcript.pyannote[26].end 112.94159375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 113.58284375
transcript.pyannote[27].end 116.75534375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 118.18971875
transcript.pyannote[28].end 120.48471875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 121.02471875
transcript.pyannote[29].end 124.31534375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 125.27721875
transcript.pyannote[30].end 125.96909375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 126.67784375
transcript.pyannote[31].end 130.22159375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 131.08221875
transcript.pyannote[32].end 140.51534375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 141.24096875
transcript.pyannote[33].end 141.73034375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 142.15221875
transcript.pyannote[34].end 143.56971875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 144.12659375
transcript.pyannote[35].end 145.02096875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 145.71284375
transcript.pyannote[36].end 151.73721875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 152.96909375
transcript.pyannote[37].end 153.32346875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 154.62284375
transcript.pyannote[38].end 157.60971875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 158.03159375
transcript.pyannote[39].end 159.44909375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 159.80346875
transcript.pyannote[40].end 165.47346875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 165.99659375
transcript.pyannote[41].end 167.56596875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 168.22409375
transcript.pyannote[42].end 169.91159375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 170.83971875
transcript.pyannote[43].end 176.05409375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 177.08346875
transcript.pyannote[44].end 177.60659375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 179.12534375
transcript.pyannote[45].end 180.59346875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 181.58909375
transcript.pyannote[46].end 185.25096875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 185.33534375
transcript.pyannote[47].end 188.65971875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 189.33471875
transcript.pyannote[48].end 190.27971875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 190.54971875
transcript.pyannote[49].end 191.17409375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 193.84034375
transcript.pyannote[50].end 197.08034375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 197.80596875
transcript.pyannote[51].end 209.11221875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 208.35284375
transcript.pyannote[52].end 211.59284375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 212.08221875
transcript.pyannote[53].end 214.79909375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 214.96784375
transcript.pyannote[54].end 217.83659375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 218.69721875
transcript.pyannote[55].end 219.40596875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 219.27096875
transcript.pyannote[56].end 220.33409375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 222.47721875
transcript.pyannote[57].end 226.13909375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 226.54409375
transcript.pyannote[58].end 227.33721875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 227.53971875
transcript.pyannote[59].end 229.05846875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 229.54784375
transcript.pyannote[60].end 233.02409375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 233.98596875
transcript.pyannote[61].end 237.22596875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 238.15409375
transcript.pyannote[62].end 241.10721875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 241.76534375
transcript.pyannote[63].end 243.04784375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 243.08159375
transcript.pyannote[64].end 244.17846875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 246.35534375
transcript.pyannote[65].end 248.68409375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 250.11846875
transcript.pyannote[66].end 252.41346875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 253.24034375
transcript.pyannote[67].end 255.13034375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 255.95721875
transcript.pyannote[68].end 256.34534375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 257.40846875
transcript.pyannote[69].end 258.04971875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 259.50096875
transcript.pyannote[70].end 260.39534375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 260.58096875
transcript.pyannote[71].end 262.67346875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 262.97721875
transcript.pyannote[72].end 270.04784375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 270.63846875
transcript.pyannote[73].end 272.15721875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 272.71409375
transcript.pyannote[74].end 274.03034375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 274.57034375
transcript.pyannote[75].end 276.71346875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 277.43909375
transcript.pyannote[76].end 278.73846875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 279.64971875
transcript.pyannote[77].end 284.86409375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 285.40409375
transcript.pyannote[78].end 286.60221875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 287.00721875
transcript.pyannote[79].end 290.26409375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 290.97284375
transcript.pyannote[80].end 291.44534375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 292.06971875
transcript.pyannote[81].end 292.96409375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 293.43659375
transcript.pyannote[82].end 302.97096875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 303.27471875
transcript.pyannote[83].end 311.29034375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 312.33659375
transcript.pyannote[84].end 314.37846875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 314.63159375
transcript.pyannote[85].end 320.57159375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 321.21284375
transcript.pyannote[86].end 322.68096875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 323.20409375
transcript.pyannote[87].end 327.45659375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 327.96284375
transcript.pyannote[88].end 338.47596875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 338.76284375
transcript.pyannote[89].end 340.16346875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 340.85534375
transcript.pyannote[90].end 344.29784375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 344.65221875
transcript.pyannote[91].end 345.34409375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 346.03596875
transcript.pyannote[92].end 349.24221875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 349.88346875
transcript.pyannote[93].end 351.97596875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 352.66784375
transcript.pyannote[94].end 353.47784375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 354.06846875
transcript.pyannote[95].end 354.77721875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 356.09346875
transcript.pyannote[96].end 359.68784375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 361.57784375
transcript.pyannote[97].end 363.80534375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 365.54346875
transcript.pyannote[98].end 368.14221875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 368.63159375
transcript.pyannote[99].end 369.61034375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 369.76221875
transcript.pyannote[100].end 371.24721875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 371.41596875
transcript.pyannote[101].end 371.93909375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 373.49159375
transcript.pyannote[102].end 374.77409375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 375.49971875
transcript.pyannote[103].end 376.49534375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 377.60909375
transcript.pyannote[104].end 387.24471875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 388.22346875
transcript.pyannote[105].end 391.36221875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 392.18909375
transcript.pyannote[106].end 393.03284375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 393.70784375
transcript.pyannote[107].end 397.82534375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 399.42846875
transcript.pyannote[108].end 402.53346875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 403.24221875
transcript.pyannote[109].end 405.57096875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 406.39784375
transcript.pyannote[110].end 407.41034375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 408.77721875
transcript.pyannote[111].end 409.99221875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 410.59971875
transcript.pyannote[112].end 414.32909375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 415.88159375
transcript.pyannote[113].end 416.48909375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 416.86034375
transcript.pyannote[114].end 418.63221875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 418.71659375
transcript.pyannote[115].end 419.00346875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 419.59409375
transcript.pyannote[116].end 421.29846875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 421.88909375
transcript.pyannote[117].end 422.51346875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 422.98596875
transcript.pyannote[118].end 423.57659375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 423.93096875
transcript.pyannote[119].end 424.58909375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 425.07846875
transcript.pyannote[120].end 427.03596875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 427.28909375
transcript.pyannote[121].end 428.90909375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 429.43221875
transcript.pyannote[122].end 439.92846875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 440.95784375
transcript.pyannote[123].end 445.24409375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 445.71659375
transcript.pyannote[124].end 447.25221875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 447.92721875
transcript.pyannote[125].end 452.51721875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 452.78721875
transcript.pyannote[126].end 460.93784375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 461.74784375
transcript.pyannote[127].end 463.40159375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 464.12721875
transcript.pyannote[128].end 465.32534375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 465.47721875
transcript.pyannote[129].end 466.18596875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 466.23659375
transcript.pyannote[130].end 468.54846875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 469.44284375
transcript.pyannote[131].end 478.55534375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 478.99409375
transcript.pyannote[132].end 481.25534375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 481.57596875
transcript.pyannote[133].end 483.12846875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 484.00596875
transcript.pyannote[134].end 484.61346875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 488.27534375
transcript.pyannote[135].end 497.82659375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 497.97846875
transcript.pyannote[136].end 498.73784375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 499.34534375
transcript.pyannote[137].end 501.06659375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 501.91034375
transcript.pyannote[138].end 504.39096875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 504.99846875
transcript.pyannote[139].end 509.40284375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 510.04409375
transcript.pyannote[140].end 510.73596875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 511.69784375
transcript.pyannote[141].end 513.09846875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 513.53721875
transcript.pyannote[142].end 515.64659375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 515.96721875
transcript.pyannote[143].end 528.55596875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 529.58534375
transcript.pyannote[144].end 531.44159375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 532.87596875
transcript.pyannote[145].end 537.34784375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 537.87096875
transcript.pyannote[146].end 553.24409375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 553.88534375
transcript.pyannote[147].end 554.83034375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 555.31971875
transcript.pyannote[148].end 558.39096875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 559.15034375
transcript.pyannote[149].end 560.48346875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 562.05284375
transcript.pyannote[150].end 563.52096875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 564.33096875
transcript.pyannote[151].end 567.25034375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 568.19534375
transcript.pyannote[152].end 569.83221875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 572.71784375
transcript.pyannote[153].end 573.20721875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 573.61221875
transcript.pyannote[154].end 575.40096875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 577.76346875
transcript.pyannote[155].end 578.96159375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 579.56909375
transcript.pyannote[156].end 581.12159375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 582.69096875
transcript.pyannote[157].end 584.53034375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 585.32346875
transcript.pyannote[158].end 589.01909375
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 589.94721875
transcript.pyannote[159].end 590.72346875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 591.17909375
transcript.pyannote[160].end 593.55846875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 594.40221875
transcript.pyannote[161].end 598.13159375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 598.77284375
transcript.pyannote[162].end 599.78534375
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 600.27471875
transcript.pyannote[163].end 602.24909375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 603.53159375
transcript.pyannote[164].end 604.52721875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 606.11346875
transcript.pyannote[165].end 607.81784375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 608.61096875
transcript.pyannote[166].end 610.21409375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 610.38284375
transcript.pyannote[167].end 610.73721875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 611.09159375
transcript.pyannote[168].end 612.59346875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 613.28534375
transcript.pyannote[169].end 614.14596875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 614.66909375
transcript.pyannote[170].end 616.28909375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 617.30159375
transcript.pyannote[171].end 620.20409375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 620.76096875
transcript.pyannote[172].end 621.28409375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 621.65534375
transcript.pyannote[173].end 624.01784375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 624.70971875
transcript.pyannote[174].end 625.78971875
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 626.54909375
transcript.pyannote[175].end 627.64596875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 628.00034375
transcript.pyannote[176].end 631.59471875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 631.98284375
transcript.pyannote[177].end 632.96159375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 633.43409375
transcript.pyannote[178].end 638.27721875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 638.71596875
transcript.pyannote[179].end 640.38659375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 640.77471875
transcript.pyannote[180].end 642.32721875
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 642.85034375
transcript.pyannote[181].end 647.99721875
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 648.25034375
transcript.pyannote[182].end 649.90409375
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 650.07284375
transcript.pyannote[183].end 650.95034375
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 651.52409375
transcript.pyannote[184].end 661.61534375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 657.66659375
transcript.pyannote[185].end 657.71721875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 661.61534375
transcript.pyannote[186].end 661.90221875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 661.90221875
transcript.pyannote[187].end 666.77909375
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 667.43721875
transcript.pyannote[188].end 672.24659375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 672.97221875
transcript.pyannote[189].end 673.22534375
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 673.91721875
transcript.pyannote[190].end 684.61596875
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 684.61596875
transcript.pyannote[191].end 684.78471875
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 684.78471875
transcript.pyannote[192].end 686.15159375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 686.50596875
transcript.pyannote[193].end 691.90596875
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 692.63159375
transcript.pyannote[194].end 706.48596875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 707.66721875
transcript.pyannote[195].end 708.20721875
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 709.52346875
transcript.pyannote[196].end 711.97034375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 712.39221875
transcript.pyannote[197].end 713.86034375
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 714.65346875
transcript.pyannote[198].end 718.14659375
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 718.55159375
transcript.pyannote[199].end 720.40784375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 721.36971875
transcript.pyannote[200].end 722.01096875
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 722.65221875
transcript.pyannote[201].end 752.72346875
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 753.31409375
transcript.pyannote[202].end 756.33471875
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 756.33471875
transcript.pyannote[203].end 756.63846875
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 756.63846875
transcript.pyannote[204].end 760.26659375
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 760.65471875
transcript.pyannote[205].end 760.70534375
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 760.70534375
transcript.pyannote[206].end 761.83596875
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 760.75596875
transcript.pyannote[207].end 761.11034375
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 761.83596875
transcript.pyannote[208].end 761.85284375
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 761.85284375
transcript.pyannote[209].end 761.86971875
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 762.30846875
transcript.pyannote[210].end 768.34971875
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 768.55221875
transcript.pyannote[211].end 780.06096875
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 779.53784375
transcript.pyannote[212].end 780.36471875
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 780.53346875
transcript.pyannote[213].end 791.94096875
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 790.23659375
transcript.pyannote[214].end 791.53596875
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 792.36284375
transcript.pyannote[215].end 793.17284375
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 793.71284375
transcript.pyannote[216].end 795.31596875
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 795.63659375
transcript.pyannote[217].end 797.27346875
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 805.08659375
transcript.pyannote[218].end 807.97221875
transcript.whisperx[0].start 0.19
transcript.whisperx[0].end 0.915
transcript.whisperx[0].text 謝主席 我請莊部長來 莊部長請
transcript.whisperx[1].start 9.891
transcript.whisperx[1].end 31.898
transcript.whisperx[1].text 總部長我今天跟你談另外一個問題這九大公園卡庫董事長總經理都是你這邊所指派的我相信你也一定經過相當的了解調查熟視才會指派他們這個前幾天啊一營宜蘭分行
transcript.whisperx[2].start 33.291
transcript.whisperx[2].end 60.087
transcript.whisperx[2].text 被當地刑警大隊進去搜查那有帶走他們的婦女還有四個行員所以他們因為他們涉及跟詐騙集團有勾結那總共光已經查到的案子有三十幾個受害人三個詐騙集團在那邊開了這個戶頭那我覺得很奇怪在先前啊
transcript.whisperx[3].start 61.988
transcript.whisperx[3].end 84.645
transcript.whisperx[3].text 這三個公司的名下的戶頭都已經是警示戶為什麼這麼好的第一銀行竟然還給警示戶繼續開戶這不是很奇怪照說警示戶不但不能給他開戶而且要通報警方
transcript.whisperx[4].start 85.908
transcript.whisperx[4].end 111.165
transcript.whisperx[4].text 所以我想了解的是這件事情你有沒有要求第一銀行針對這些開戶的流程去做一些是不是這些有疏失然後我才想了解第一銀行的情況我認為監督管理考核在第一銀行都出了問題竟然啊竟然上個禮拜
transcript.whisperx[5].start 113.689
transcript.whisperx[5].end 130.021
transcript.whisperx[5].text 上三個月上三個月今年三月更大的台灣銀行台灣銀行竟然有兩個分行都是都是副理局還有行員涉入
transcript.whisperx[6].start 131.141
transcript.whisperx[6].end 151.656
transcript.whisperx[6].text 都在台北 松山分行 仁愛分行這件事我想你應該知道涉及的金額高達2200萬而被逮獲的中間人他竟然就暗示說到這些行去開戶啊可以有回扣那
transcript.whisperx[7].start 154.653
transcript.whisperx[7].end 175.881
transcript.whisperx[7].text 台銀這個涉及的金額更可怕它匯出匯出國外的金額竟然高達一億多元而裡面有一千萬啊竟然是匯到第一銀行剛才我講的上禮拜出事的這個行的同一個詐騙戶頭天啊天啊
transcript.whisperx[8].start 179.158
transcript.whisperx[8].end 180.359
transcript.whisperx[8].text 壞到同一個公司帳號詐騙戶的這個警視戶所以我覺得這實在是很荒唐啦很荒唐齁那麼
transcript.whisperx[9].start 193.971
transcript.whisperx[9].end 220.266
transcript.whisperx[9].text 那個部長你先說這個你瞭解不瞭解這件事有關台銀這個事情瞭解然後剛剛2200萬已經金管會是重罰那對於相關內部的人員包含這兩個行員這兩個行員其實是夫妻關係我在跟金管會談事情為什麼先找你談因為這九大公營行庫董事長總經理都是你派的義營董事長總經理有來嗎有請起立一下好不好
transcript.whisperx[10].start 222.52
transcript.whisperx[10].end 236.171
transcript.whisperx[10].text 那個 你們是模範銀行欸天啊 在我心目中啊為什麼你看到非常高你是模範銀行我們儘管他還特別把ESG這麼重大的這個業務交由你們來推動欸台灣銀行有來嗎 董事長 總經理你們是龍頭銀行欸
transcript.whisperx[11].start 250.845
transcript.whisperx[11].end 271.059
transcript.whisperx[11].text 一個龍頭銀郎 一個模範銀郎你們竟然出這樣子的事情好了這個照說啊要追究 要檢討警視庫的開戶流程要追查他們有沒有疏忽或者不法這個責任應該由總行由總行來專責監理單位結果到現在為止
transcript.whisperx[12].start 279.713
transcript.whisperx[12].end 288.888
transcript.whisperx[12].text 我們整個公營銀行 公營行庫 九大公營行庫只有兆豐銀行啦他是有總行人家他設一個專責監理單位
transcript.whisperx[13].start 291.044
transcript.whisperx[13].end 311.23
transcript.whisperx[13].text 所以那個部長是不是就這個你要要求九大公營航庫在總航要設置監禮單位監禮各分航針對針對這些警事戶的開戶流程做檢討查一查他們是不是有疏忽甚至不法可不可以我覺得應該是這樣做是
transcript.whisperx[14].start 314.687
transcript.whisperx[14].end 339.979
transcript.whisperx[14].text 你知道那個台英董事長總經理我為什麼讓你站起來你知道你們先前啊你們先前答覆我你們回覆各單位你們都還跟這個治安單位說你們啊每半年你們就會執行員工違常狀況的清查你們說藉由觀察啦喔你們超厲害的你
transcript.whisperx[15].start 341.059
transcript.whisperx[15].end 354.709
transcript.whisperx[15].text 你們算命嗎 你觀察 查研觀測就可以看到是這樣嗎都不用看他們開戶的流程 你觀察這些航員的外觀神色就可以知道是這樣嗎都不用看看他們經手的資料嗎他們該監管的開戶流程嗎
transcript.whisperx[16].start 365.592
transcript.whisperx[16].end 371.856
transcript.whisperx[16].text 好啦 你們四位都是金融的長輩份齁我不為難你們 請坐請坐所以 部長我要跟你提的就是現在我們九大公營行庫應該來做模範的時候嘿 這一次打詐司法通過以後齁反而在做模範的都是民營銀行那一家啊
transcript.whisperx[17].start 393.752
transcript.whisperx[17].end 414.152
transcript.whisperx[17].text 我最常說他的 就鼠寮三兄弟的大哥他背後的老闆 這個第一信託硬朗當時他的警示物最多我就說 欸 那個中國信託我說中國信託跟詐騙集團 We are family
transcript.whisperx[18].start 416.099
transcript.whisperx[18].end 439.685
transcript.whisperx[18].text 結果這樣子跟他以後人家不到半年三四個月你看他們現在攔阻了28億元光是成立一個AI神盾聯防互幫金控也不遑多讓也弄了一個鷹眼國泰釋法也推了國泰盾
transcript.whisperx[19].start 441.078
transcript.whisperx[19].end 468.452
transcript.whisperx[19].text 上半年他們主詐的金額12億元啦所以最主要設這些就是可以防止內神通外鬼所以部長我要求是不是你應該回去好好的要求公股銀行仿效民間銀行那麼引進AI還有在總行設專責的監獄單位可不可以
transcript.whisperx[20].start 469.465
transcript.whisperx[20].end 484.395
transcript.whisperx[20].text 委員對於好的做法我們一定要引進來然後看能不能再做更為的精進我想委員這個提示我們可以會後就來做要求好謝謝那時間暫停你請回我請彭主委主委請
transcript.whisperx[21].start 490.046
transcript.whisperx[21].end 510.398
transcript.whisperx[21].text 上個月我們被詐騙的金額76億啦只查扣到6億所以我一直不懂的就是說我們要求在治安單位要求之下希望我們銀行銀行端能夠配合圈存這些
transcript.whisperx[22].start 512.115
transcript.whisperx[22].end 530.871
transcript.whisperx[22].text 受騙的金額結果圈存啦原先只圈存24小時銀行只配合24小時好不容易打詐釋法過以後現在社會壓力之下延長到48小時但是銀行公會也有講話啦24小時要48小時也罷
transcript.whisperx[23].start 537.952
transcript.whisperx[23].end 563.352
transcript.whisperx[23].text 往往圈存的這些戶頭當警方過於忙碌當沒有再進一步方式的時候過了這個時間這個圈存戶又讓他恢復正常錢又流到詐騙機端他又拿走了所以我不懂銀行公會適合居心你今天回去問他一下適合居心啦
transcript.whisperx[24].start 564.42
transcript.whisperx[24].end 569.385
transcript.whisperx[24].text 現在詐騙集團在A 被壞人在IAI在我們台灣變成是這樣詐騙人A 社會在I好英安公會竟然還大剌剌這麼講說這個權權時間過長
transcript.whisperx[25].start 589.997
transcript.whisperx[25].end 615.849
transcript.whisperx[25].text 你知道嗎 民間第三方支付他們圈存時間都20天以上 第三方支付為什麼人家民間可以做到 應安公衛這莫名其妙的單位嘛所以你今天回去問他們好不好你問他們適合居心 我要求應該配合治安單位
transcript.whisperx[26].start 617.352
transcript.whisperx[26].end 623.881
transcript.whisperx[26].text 把生存時間增長可不可以我們趕快來跟銀行公會來研究
transcript.whisperx[27].start 624.755
transcript.whisperx[27].end 648.513
transcript.whisperx[27].text 然後那個詐騙集團現在也運用這些自然人憑證在開戶啦那很不錯的我們有七家這島市這七家我看大部分是公營含庫啦這個剛才講的兆豐他換成他是模範營能的義營也不錯啦義營、華營、和庫、台企、永豐還有張營
transcript.whisperx[28].start 650.234
transcript.whisperx[28].end 671.477
transcript.whisperx[28].text 他們都改成說要視訊驗證或者臨櫃辦理這才能開戶我認為詐騙到現在這種地步後你想想一個月76億了這個完全不用考慮就是取消應該取消自然人憑證的開戶要不然改成臨櫃
transcript.whisperx[29].start 675.1
transcript.whisperx[29].end 691.753
transcript.whisperx[29].text 這個臨櫃或者視訊驗證的方式好不好那個主席抱歉是不是再給我15秒給我30秒我要提到金管會我們有針對各營能應用AI做一個調查這裡面有兩個答案我覺得最莫名其妙啦
transcript.whisperx[30].start 692.691
transcript.whisperx[30].end 719.767
transcript.whisperx[30].text 他們認為說 竟然有百分之三十的銀行業者我不曉得哪幾家啦他們竟然回答說 要運用AI的他說 業務上佔無需要天啊 業務上佔無需要 我剛剛講的嘛你運用AI 你像我剛剛提的這三大民營銀行他們用的這個
transcript.whisperx[31].start 721.414
transcript.whisperx[31].end 746.183
transcript.whisperx[31].text 保護這個存款戶的方式像包括鷹眼國泰盾什麼AI神盾聯防這些人家就是善於應用AI嘛可以避免像台銀像義營宜蘭芬郎像台銀的奈芬郎這種內神通外鬼好不好我希望他們這個觀念要改你回去好好的跟他們談談
transcript.whisperx[32].start 747.583
transcript.whisperx[32].end 760.958
transcript.whisperx[32].text 跟銀行公會談 跟各大公營行戶談 以及民間銀行對於已經有做 做得好的 我們鼓勵他對於不好的 你好好鞭策鞭策他們 好不好
transcript.whisperx[33].start 762.52
transcript.whisperx[33].end 762.54
transcript.whisperx[33].text 好,謝謝
transcript.whisperx[34].start 792.585
transcript.whisperx[34].end 795.729
transcript.whisperx[34].text 謝謝主席我知道這個外委會的時間比較短