iVOD / 166430

Field Value
IVOD_ID 166430
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/166430
日期 2025-12-15
會議資料.會議代碼 委員會-11-4-35-21
會議資料.會議代碼:str 第11屆第4會期外交及國防委員會第21次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 21
會議資料.種類 委員會
會議資料.委員會代碼[0] 35
會議資料.委員會代碼:str[0] 外交及國防委員會
會議資料.標題 第11屆第4會期外交及國防委員會第21次全體委員會議
影片種類 Clip
開始時間 2025-12-15T12:01:22+08:00
結束時間 2025-12-15T12:15:59+08:00
影片長度 00:14:37
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/d486c5db5da75906cae03c862223901fe3a1989ac581c2286697ca1ee740c94bddaafb66827a691f5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王鴻薇
委員發言時間 12:01:22 - 12:15:59
會議時間 2025-12-15T09:00:00+08:00
會議名稱 立法院第11屆第4會期外交及國防委員會第21 次全體委員會議(事由:邀請國防部部長顧立雄報告「針對國軍各類型火藥原物料購案,廠商資格標準訂定及審認作法」,併請經濟部、行政院公共工程委員會、法務部廉政署列席,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 0.82409375
transcript.pyannote[0].end 4.87409375
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 5.26221875
transcript.pyannote[1].end 7.11846875
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 13.56471875
transcript.pyannote[2].end 24.43221875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 14.32409375
transcript.pyannote[3].end 15.94409375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 25.56284375
transcript.pyannote[4].end 33.83159375
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 30.54096875
transcript.pyannote[5].end 31.14846875
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 32.43096875
transcript.pyannote[6].end 32.78534375
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 33.88221875
transcript.pyannote[7].end 36.58221875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 35.95784375
transcript.pyannote[8].end 38.35409375
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 38.69159375
transcript.pyannote[9].end 40.93596875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 40.24409375
transcript.pyannote[10].end 44.95221875
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 41.39159375
transcript.pyannote[11].end 44.14221875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 44.14221875
transcript.pyannote[12].end 45.49221875
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 45.88034375
transcript.pyannote[13].end 48.34409375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 46.48784375
transcript.pyannote[14].end 49.76159375
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 49.59284375
transcript.pyannote[15].end 55.33034375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 56.51159375
transcript.pyannote[16].end 57.74346875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 58.24971875
transcript.pyannote[17].end 59.58284375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 60.19034375
transcript.pyannote[18].end 71.17596875
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 60.76409375
transcript.pyannote[19].end 62.40096875
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 63.37971875
transcript.pyannote[20].end 65.15159375
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 70.34909375
transcript.pyannote[21].end 72.13784375
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 72.25596875
transcript.pyannote[22].end 74.87159375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 72.30659375
transcript.pyannote[23].end 72.96471875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 74.66909375
transcript.pyannote[24].end 75.25971875
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 75.47909375
transcript.pyannote[25].end 87.69659375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 78.71909375
transcript.pyannote[26].end 79.56284375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 86.63346875
transcript.pyannote[27].end 87.79784375
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 87.79784375
transcript.pyannote[28].end 135.92534375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 136.36409375
transcript.pyannote[29].end 149.50971875
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 149.45909375
transcript.pyannote[30].end 187.98471875
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 188.47409375
transcript.pyannote[31].end 224.80596875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 220.68846875
transcript.pyannote[32].end 221.07659375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 221.44784375
transcript.pyannote[33].end 221.83596875
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 224.94096875
transcript.pyannote[34].end 228.14721875
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 228.46784375
transcript.pyannote[35].end 229.12596875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 228.56909375
transcript.pyannote[36].end 248.97096875
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 249.59534375
transcript.pyannote[37].end 255.14721875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 253.29096875
transcript.pyannote[38].end 259.46721875
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 256.27784375
transcript.pyannote[39].end 258.97784375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 260.00721875
transcript.pyannote[40].end 263.75346875
transcript.pyannote[41].speaker SPEAKER_03
transcript.pyannote[41].start 260.02409375
transcript.pyannote[41].end 264.76596875
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 265.54221875
transcript.pyannote[42].end 271.33034375
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 271.83659375
transcript.pyannote[43].end 278.56971875
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 279.09284375
transcript.pyannote[44].end 281.74221875
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 281.79284375
transcript.pyannote[45].end 286.01159375
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 286.97346875
transcript.pyannote[46].end 288.00284375
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 288.72846875
transcript.pyannote[47].end 290.82096875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 292.01909375
transcript.pyannote[48].end 293.31846875
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 292.79534375
transcript.pyannote[49].end 293.50409375
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 293.67284375
transcript.pyannote[50].end 295.52909375
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 296.17034375
transcript.pyannote[51].end 299.81534375
transcript.pyannote[52].speaker SPEAKER_03
transcript.pyannote[52].start 300.16971875
transcript.pyannote[52].end 308.60721875
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 309.16409375
transcript.pyannote[53].end 310.93596875
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 311.50971875
transcript.pyannote[54].end 313.53471875
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 313.95659375
transcript.pyannote[55].end 317.39909375
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 318.25971875
transcript.pyannote[56].end 320.43659375
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 321.36471875
transcript.pyannote[57].end 324.53721875
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 325.14471875
transcript.pyannote[58].end 327.79409375
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 328.40159375
transcript.pyannote[59].end 338.27346875
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 338.89784375
transcript.pyannote[60].end 340.93971875
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 341.32784375
transcript.pyannote[61].end 341.74971875
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 342.99846875
transcript.pyannote[62].end 347.72346875
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 348.29721875
transcript.pyannote[63].end 349.17471875
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 349.32659375
transcript.pyannote[64].end 350.50784375
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 351.41909375
transcript.pyannote[65].end 357.64596875
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 358.05096875
transcript.pyannote[66].end 361.10534375
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 361.69596875
transcript.pyannote[67].end 363.18096875
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 363.31596875
transcript.pyannote[68].end 372.98534375
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 374.20034375
transcript.pyannote[69].end 383.81909375
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 384.22409375
transcript.pyannote[70].end 388.34159375
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 388.66221875
transcript.pyannote[71].end 392.71221875
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 392.84721875
transcript.pyannote[72].end 397.01534375
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 397.67346875
transcript.pyannote[73].end 398.83784375
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 399.96846875
transcript.pyannote[74].end 402.16221875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 403.61346875
transcript.pyannote[75].end 404.99721875
transcript.pyannote[76].speaker SPEAKER_03
transcript.pyannote[76].start 405.23346875
transcript.pyannote[76].end 405.55409375
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 405.90846875
transcript.pyannote[77].end 410.34659375
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 411.19034375
transcript.pyannote[78].end 412.91159375
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 413.99159375
transcript.pyannote[79].end 414.73409375
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 416.06721875
transcript.pyannote[80].end 416.55659375
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 417.53534375
transcript.pyannote[81].end 420.06659375
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 420.84284375
transcript.pyannote[82].end 422.17596875
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 423.71159375
transcript.pyannote[83].end 426.09096875
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 427.13721875
transcript.pyannote[84].end 431.22096875
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 431.99721875
transcript.pyannote[85].end 433.68471875
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 434.47784375
transcript.pyannote[86].end 439.96221875
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 440.46846875
transcript.pyannote[87].end 451.35284375
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 452.29784375
transcript.pyannote[88].end 452.82096875
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 453.15846875
transcript.pyannote[89].end 454.06971875
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 454.60971875
transcript.pyannote[90].end 462.86159375
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 463.50284375
transcript.pyannote[91].end 466.16909375
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 467.09721875
transcript.pyannote[92].end 470.32034375
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 470.79284375
transcript.pyannote[93].end 472.17659375
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 472.95284375
transcript.pyannote[94].end 475.24784375
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 475.39971875
transcript.pyannote[95].end 483.71909375
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 484.41096875
transcript.pyannote[96].end 487.88721875
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 488.29221875
transcript.pyannote[97].end 491.80221875
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 492.19034375
transcript.pyannote[98].end 493.08471875
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 493.40534375
transcript.pyannote[99].end 495.00846875
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 495.68346875
transcript.pyannote[100].end 497.06721875
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 499.64909375
transcript.pyannote[101].end 501.75846875
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 502.28159375
transcript.pyannote[102].end 504.34034375
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 504.67784375
transcript.pyannote[103].end 507.90096875
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 508.69409375
transcript.pyannote[104].end 509.97659375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 510.43221875
transcript.pyannote[105].end 511.20846875
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 510.46596875
transcript.pyannote[106].end 514.46534375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 515.32596875
transcript.pyannote[107].end 515.62971875
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 515.62971875
transcript.pyannote[108].end 517.48596875
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 518.19471875
transcript.pyannote[109].end 520.55721875
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 520.92846875
transcript.pyannote[110].end 533.02784375
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 533.58471875
transcript.pyannote[111].end 534.56346875
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 535.35659375
transcript.pyannote[112].end 536.95971875
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 537.36471875
transcript.pyannote[113].end 540.68909375
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 541.07721875
transcript.pyannote[114].end 544.70534375
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 545.73471875
transcript.pyannote[115].end 552.46784375
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 553.07534375
transcript.pyannote[116].end 554.20596875
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 555.15096875
transcript.pyannote[117].end 556.38284375
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 557.36159375
transcript.pyannote[118].end 560.33159375
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 560.41596875
transcript.pyannote[119].end 562.25534375
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 562.79534375
transcript.pyannote[120].end 563.09909375
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 563.77409375
transcript.pyannote[121].end 566.22096875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 567.01409375
transcript.pyannote[122].end 568.68471875
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 567.23346875
transcript.pyannote[123].end 579.36659375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 578.06721875
transcript.pyannote[124].end 578.62409375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 579.24846875
transcript.pyannote[125].end 583.83846875
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 583.90596875
transcript.pyannote[126].end 585.74534375
transcript.pyannote[127].speaker SPEAKER_03
transcript.pyannote[127].start 586.48784375
transcript.pyannote[127].end 592.19159375
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 592.29284375
transcript.pyannote[128].end 596.08971875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 596.51159375
transcript.pyannote[129].end 622.07721875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 622.39784375
transcript.pyannote[130].end 629.62034375
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 629.62034375
transcript.pyannote[131].end 638.71596875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 632.40471875
transcript.pyannote[132].end 650.20784375
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 652.94159375
transcript.pyannote[133].end 661.73346875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 653.86971875
transcript.pyannote[134].end 654.10596875
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 662.05409375
transcript.pyannote[135].end 667.42034375
transcript.pyannote[136].speaker SPEAKER_03
transcript.pyannote[136].start 667.92659375
transcript.pyannote[136].end 673.29284375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 671.50409375
transcript.pyannote[137].end 675.23346875
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 673.83284375
transcript.pyannote[138].end 677.29221875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 676.38096875
transcript.pyannote[139].end 692.56409375
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 691.11284375
transcript.pyannote[140].end 702.97596875
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 704.20784375
transcript.pyannote[141].end 708.62909375
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 709.11846875
transcript.pyannote[142].end 709.99596875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 710.68784375
transcript.pyannote[143].end 711.93659375
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 711.36284375
transcript.pyannote[144].end 714.11346875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 714.40034375
transcript.pyannote[145].end 715.05846875
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 714.51846875
transcript.pyannote[146].end 716.50971875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 715.17659375
transcript.pyannote[147].end 736.21971875
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 720.86346875
transcript.pyannote[148].end 723.19221875
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 723.76596875
transcript.pyannote[149].end 732.54096875
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 733.48596875
transcript.pyannote[150].end 735.69659375
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 736.15221875
transcript.pyannote[151].end 739.47659375
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 740.70846875
transcript.pyannote[152].end 746.54721875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 740.80971875
transcript.pyannote[153].end 741.29909375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 742.98659375
transcript.pyannote[154].end 744.40409375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 748.70721875
transcript.pyannote[155].end 748.77471875
transcript.pyannote[156].speaker SPEAKER_03
transcript.pyannote[156].start 748.77471875
transcript.pyannote[156].end 749.61846875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 749.61846875
transcript.pyannote[157].end 750.09096875
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 750.73221875
transcript.pyannote[158].end 773.26034375
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 773.63159375
transcript.pyannote[159].end 777.25971875
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 777.68159375
transcript.pyannote[160].end 788.31284375
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 788.59971875
transcript.pyannote[161].end 799.24784375
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 800.15909375
transcript.pyannote[162].end 801.55971875
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 802.25159375
transcript.pyannote[163].end 808.96784375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 809.33909375
transcript.pyannote[164].end 811.51596875
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 811.76909375
transcript.pyannote[165].end 812.30909375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 812.54534375
transcript.pyannote[166].end 816.47721875
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 816.79784375
transcript.pyannote[167].end 819.63284375
transcript.pyannote[168].speaker SPEAKER_03
transcript.pyannote[168].start 819.29534375
transcript.pyannote[168].end 828.30659375
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 821.20221875
transcript.pyannote[169].end 821.28659375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 828.86346875
transcript.pyannote[170].end 830.68596875
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 829.77471875
transcript.pyannote[171].end 833.85846875
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 831.56346875
transcript.pyannote[172].end 841.30034375
transcript.pyannote[173].speaker SPEAKER_03
transcript.pyannote[173].start 836.72721875
transcript.pyannote[173].end 837.14909375
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 838.46534375
transcript.pyannote[174].end 839.56221875
transcript.pyannote[175].speaker SPEAKER_03
transcript.pyannote[175].start 840.82784375
transcript.pyannote[175].end 847.03784375
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 842.02596875
transcript.pyannote[176].end 844.64159375
transcript.pyannote[177].speaker SPEAKER_03
transcript.pyannote[177].start 847.49346875
transcript.pyannote[177].end 854.71596875
transcript.pyannote[178].speaker SPEAKER_03
transcript.pyannote[178].start 855.08721875
transcript.pyannote[178].end 858.36096875
transcript.pyannote[179].speaker SPEAKER_03
transcript.pyannote[179].start 859.42409375
transcript.pyannote[179].end 861.66846875
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 861.80346875
transcript.pyannote[180].end 869.04284375
transcript.pyannote[181].speaker SPEAKER_03
transcript.pyannote[181].start 862.24221875
transcript.pyannote[181].end 862.78221875
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 868.85721875
transcript.pyannote[182].end 875.53971875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 875.40471875
transcript.pyannote[183].end 875.94471875
transcript.pyannote[184].speaker SPEAKER_03
transcript.pyannote[184].start 875.94471875
transcript.pyannote[184].end 876.33284375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 876.33284375
transcript.pyannote[185].end 877.56471875
transcript.whisperx[0].start 1.408
transcript.whisperx[0].end 6.872
transcript.whisperx[0].text 謝謝主席 請部長還有軍備局局長請顧部長 軍備局局長好 部長 局長好我先請教局長請問一下過去RDX是不是都是軍備局自行對外進口的
transcript.whisperx[1].start 25.595
transcript.whisperx[1].end 55.115
transcript.whisperx[1].text 跟委員報告RDS都是我們進口原料由我們軍備局二零一廠自行產製提煉成RDS所以都自行進口那這次為什麼要不是進口原料RDS的原料好RDS原料RDS的原料是一個化學品是一個化學品叫做烏洛脫貧對那由RDS由軍備局來生產好那請問一下這次為什麼要由廠商民間廠商來進口呢
transcript.whisperx[2].start 56.533
transcript.whisperx[2].end 57.98
transcript.whisperx[2].text 因為要為各軍種的
transcript.whisperx[3].start 60.233
transcript.whisperx[3].end 64.996
transcript.whisperx[3].text 不對稱作戰的裝備的需求要擴充產能的關係對 要擴充產能我就採自製跟外購170噸來因應所以今年開始過去都沒有對外採購過第一次第一次採購第一次採購RDX對 RDX那顯然就出現了這樣的一個量身訂做來 那我請問一下
transcript.whisperx[4].start 87.97
transcript.whisperx[4].end 95.391
transcript.whisperx[4].text 好我請問一下那個部長今天你回答媒體的時候你非常不耐煩因為連續爆發的這幾個案件都出現了非常低的資本額但是他們的得標金額都很高那一個就是這個福邁它是1900萬它的得標金額是5.9億另外大石國際資本額3500萬它的得標金額是2億4900萬
transcript.whisperx[5].start 116.855
transcript.whisperx[5].end 128.963
transcript.whisperx[5].text 然後另外一個呢是我今天特別提出的他的得標金額不高但是他的資本額只有少少的10萬元所以部長你認為資本額的高低不重要不在你們國房採購裡面的考慮範圍嗎
transcript.whisperx[6].start 136.774
transcript.whisperx[6].end 148.042
transcript.whisperx[6].text 有關於火藥原物料也就是屬於內購外賣也就是屬於代理的部分我們都是過去20年來都採公開招標的方式辦理廠商的資格都是一致的好 在你們的報告裡面你們說其實你們的標準我看起來極低第一個只要是合法登記的第二個營業項目有國際貿易業還有你有納稅證明三項資格
transcript.whisperx[7].start 164.514
transcript.whisperx[7].end 168.878
transcript.whisperx[7].text 那我先補充一下 剛才你一直強調福邁是過去都有國際貿易業 錯他是去年才新登記國際貿易業他的另外的關西企業 這個賣馬桶的 衛浴設備的他才有國際貿易業 但是來標的是福邁好 那我要問的是 資本額難道不重要嗎
transcript.whisperx[8].start 188.716
transcript.whisperx[8].end 194.519
transcript.whisperx[8].text 資本額難道不重要嗎如果今天你的門檻這麼低難道沒有國安疑慮嗎我們現在看到的這些標案在裡面你們都講說這是有國安相關的機敏的標案但是你們都把資本額不重要部長說我沒有辦法去管他的資本額啊
transcript.whisperx[9].start 212.868
transcript.whisperx[9].end 213.929
transcript.whisperx[9].text 請問一下這沒有國安疑慮嗎有心人士想要來標國防部的標案非常容易啊不知道你知道在國內國內登記有案從事國際貿易業的廠商有多少家嗎
transcript.whisperx[10].start 228.524
transcript.whisperx[10].end 248.844
transcript.whisperx[10].text 你知道嗎 跟委員報告我們查到最早 譬如說過去從100年以來到現在38個標案包括了V炸藥等等的這些所謂的火藥的原物料等等我們所有都採公開招標廠商的資格都是如此
transcript.whisperx[11].start 249.656
transcript.whisperx[11].end 255.424
transcript.whisperx[11].text 那沒有問題都沒有問題過去我要講的比如說中科院有一些標案因為我時間有限這個要素這個要素會有國安疑慮我剛剛講
transcript.whisperx[12].start 265.598
transcript.whisperx[12].end 278.388
transcript.whisperx[12].text 在國內登記為國際貿易業的高達32萬家但是他真正有規模在從事國際貿易業的只有1100家那你剛剛講的福邁我可以告訴你他從110年到113年不知道你知道嗎他進口的金額是多少嗎
transcript.whisperx[13].start 292.042
transcript.whisperx[13].end 319.814
transcript.whisperx[13].text 我想我們零一毛錢都沒有長期他沒有進口任何一個品項只有在今年他開始在標案子標中科院標國防部的案子才出現進口金額所以這個不奇怪嗎這個社會不會質疑嗎然後部長你是法律人喔你是法律人法律人我們就來看法規
transcript.whisperx[14].start 321.434
transcript.whisperx[14].end 340.467
transcript.whisperx[14].text 我們工程會本來就有採購法我們也有相關的一些執法對於政府機關投票廠商的資格特別是那種特殊的還有巨額採購本來就有認定標準啊你們國防部是話外之明嗎來
transcript.whisperx[15].start 343.018
transcript.whisperx[15].end 360.864
transcript.whisperx[15].text 投標廠商資格與特殊或巨額採購的認定標準他起碼要有幾項第一個他必須具有相當的經驗或實績者這個很重要嘛你對於一些這種特殊規格的
transcript.whisperx[16].start 362.278
transcript.whisperx[16].end 372.725
transcript.whisperx[16].text 巨額採購的 你都不要管他 他以前有沒有做過我剛才講這家公司110年到113年就是今年之前他的進口金額是零啊
transcript.whisperx[17].start 374.266
transcript.whisperx[17].end 379.55
transcript.whisperx[17].text 然後你可以讓他標一個5.9億的案子還覺得OK 沒問題啊 合法啊好 來 再來 具有相當人力者人很重要嘛 他有相關的專業的人力嘛或者他有相關的配備我可以告訴你啊 你去查這家服賣公司到今年在爭人才 他還在招募人力啊他招募什麼人力啊他招募的還是室內裝修的人力啊
transcript.whisperx[18].start 403.666
transcript.whisperx[18].end 412.708
transcript.whisperx[18].text 最近不是在講說馬總統時代也有什麼合成衛育也有標國防工程啊合成衛育資本額是多少30億結束30億而且人家有實驗室有實驗室你拿這個 這是什麼呀這是一隻老母雞比那個雞爪嗎
transcript.whisperx[19].start 432.405
transcript.whisperx[19].end 450.263
transcript.whisperx[19].text 這種比喻 再來 具有相當財力者這個很重要囉 具有相當財力者他特別講 他包括失收資本額不能低於招標預算金額的十分之一那當然後面還有 你有什麼會計年度要有什麼樣什麼樣的標準
transcript.whisperx[20].start 452.346
transcript.whisperx[20].end 465.976
transcript.whisperx[20].text 好啦我要問的是如果今天我們政府機關針對這些重要的標案還有這些特殊的標案有國安資格國安一律的標案
transcript.whisperx[21].start 467.116
transcript.whisperx[21].end 494.809
transcript.whisperx[21].text 都有這樣的一個限制這限制是基本的嘛這不是最基本的標準嗎你要有時機我相信你有這個經驗第二個你要有一定的人力我們在講不管RDX HMX它都是 它是化學品 疫爆品最近不是萬海航運在印度萬海就爆炸到現在還在印度
transcript.whisperx[22].start 495.589
transcript.whisperx[22].end 497.049
transcript.whisperx[22].text 萬海沒辦法開啊包含你航運的安排交通的安排 還有我請問你啊請問他把這個一進口是直接送到你軍備局是吧他不需要有倉儲是吧他直接就送到你軍備局所以你們不要那麼扯嘛
transcript.whisperx[23].start 515.316
transcript.whisperx[23].end 520.298
transcript.whisperx[23].text 部長你是法律人這個都是工程會的規定工程會這樣規定你國防部不需要你給我訂一個什麼只要你是有合法登記的啦只要你是什麼有國際貿易的啦只要你有納稅證明你這麼低我告訴你啊還在辦什麼反滲透法有心人士隨便找一家美容美髮業找一家快炒業現在很多都在搞國際貿易啊
transcript.whisperx[24].start 545.782
transcript.whisperx[24].end 553.948
transcript.whisperx[24].text 就可以來標你國防的功臣標你國防機敏的功臣標你國安的功臣你不會被滲透嗎你不會被滲透嗎你們這種標準還好意思拿出來國防部的標準那個主席給我一點點時間
transcript.whisperx[25].start 567.068
transcript.whisperx[25].end 573.57
transcript.whisperx[25].text 委員我可以回答一下 等一下因為這個很重要我請你回去檢討啦不要每次一講就說我們認知作戰你國防部的標案我們不能夠去檢討嗎不能去監督嗎委員不讓我有回答的機會我想這不是一般的詢答方式吧這怎麼不是一般的詢答方式好你講啊請問一下你憑什麼國防的標案它的標準可以這麼低而工程會的標準你告訴都寫在那裡給你看
transcript.whisperx[26].start 596.827
transcript.whisperx[26].end 613.777
transcript.whisperx[26].text 跟委員報告第一個就是說這是一個進口的現貨供應那麼進口的現貨供應呢他具有國際貿易的一個代理的資格那對這個合約的控制的手段就在於他必須要取得輸出許可證明這個輸出許可證明遠比你的資本額
transcript.whisperx[27].start 618.2
transcript.whisperx[27].end 635.252
transcript.whisperx[27].text 原理比你的過去的時機都要來的重要因為不論你過去有多少時機不論你資本有多少你沒有辦法拿到輸出許可證明一翻兩瞪眼他沒有辦法履歷有拿許可證明就代表他一定有能力嗎有拿到輸出許可證明才可以往下走廣大的人幫他拿到許可證明才可以往下走
transcript.whisperx[28].start 640.436
transcript.whisperx[28].end 649.537
transcript.whisperx[28].text 那他所以他在投標的時候他就必須要思考他有辦法拿得到輸出許可證明嗎他如果拿不到輸出許可證明他敢來投標嗎
transcript.whisperx[29].start 653.591
transcript.whisperx[29].end 670.107
transcript.whisperx[29].text 他就算投標 我跟你講嘛 我剛才講萬海航運已經有一個在印度外海爆炸的萬海長榮這些陽明海運他們不是不能夠運輸但是他的非常嚴格 尤其
transcript.whisperx[30].start 670.788
transcript.whisperx[30].end 672.789
transcript.whisperx[30].text 剛剛發生所以這第二點第二點就是原廠的製造原廠的製造證明他就要跟這個代理商講好他們要原廠要用專傳然後來運輸然後來抵台
transcript.whisperx[31].start 686.337
transcript.whisperx[31].end 696.103
transcript.whisperx[31].text 他還沒有交易底台之前所有的風險都是由他負擔並不是由我們負擔過去從來沒有做任何進出口過去從來沒有做過任何的軍火然後他到國外說我要進口你們的這個RDX然後他就順利可以取得他的這個輸入特許許可證明你覺得怪不怪
transcript.whisperx[32].start 710.697
transcript.whisperx[32].end 713.778
transcript.whisperx[32].text 你覺得奇不奇怪這麼神奇的事情所有的國際貿易從事國際貿易業者都有這個可能性你如果委員可以去看看我們過去20年來所做的火藥的原物料的購案所獲得的所能夠得標的這個廠商都是從事國際貿易業者你不要再跟我沖扯我剛就跟你講這件事情嘛
transcript.whisperx[33].start 740.872
transcript.whisperx[33].end 746.048
transcript.whisperx[33].text 因為時間的關係 海君等一下簡要回答我只有一件事情 我的要求
transcript.whisperx[34].start 748.823
transcript.whisperx[34].end 770.776
transcript.whisperx[34].text 海昆號 海昆號現在呢 這是媒體爆料那我也相信 應該是跟那個海昆號 他在海撤的時候這個 有參與的人 應該去爆料爆料的意思就是說 我們在經過海撤的時候 出現了故障最後呢 都要用人力操舵 說要人力操舵才逃出來就易壓故障
transcript.whisperx[35].start 773.858
transcript.whisperx[35].end 797.683
transcript.whisperx[35].text 結果媒體去求證台船台船最後告訴大家為了保密跟加緊完成測試以後將不再逐一回應請問一下可以這樣子嗎人命關天的事情這是納稅人這麼多錢的事情台船可以講說我以後不再逐一回應是怎麼樣 要保密三次嗎可以這樣嗎我想先請問跟委員報告
transcript.whisperx[36].start 802.301
transcript.whisperx[36].end 827.906
transcript.whisperx[36].text 那因為的確最近有幾起的這個新聞的這個披露那對整個台船跟整個專業團隊的士氣那影響很大那我想台船也在短時間都說了一個非常比較確確的一個說明那台船現在目前應該是要加強不是未來這種可能危及到這個相關安全的問題人民安全的問題他可以說不再回應嗎可以嗎
transcript.whisperx[37].start 828.886
transcript.whisperx[37].end 833.849
transcript.whisperx[37].text 我只問你可以或不可以我問你們國防部有沒有授權台船可以這樣所以是你授意的所以國防部授意我要求不可以這樣黑箱作業不可以針對這麼重大的這樣的一個有故障而且可能造成人命安全的問題不可以說我從此以後我不再回應
transcript.whisperx[38].start 859.747
transcript.whisperx[38].end 876.066
transcript.whisperx[38].text 這樣是黑箱座也好 部長一句話來我們可以公開的部分我們一定會對外來公開說明對應該守密的事項也會進行守密像這種事情有或沒有要跟外面報告嗎要怎麼改進不能說我從此以後都不再說明好不好好 謝謝