iVOD / 164967

Field Value
IVOD_ID 164967
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164967
日期 2025-11-03
會議資料.會議代碼 委員會-11-4-35-11
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11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 11
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11次全體委員會議
影片種類 Clip
開始時間 2025-11-03T12:02:56+08:00
結束時間 2025-11-03T12:13:03+08:00
影片長度 00:10:07
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/64fc785e736c17e9a99193d7de5fad9f926af2ae94b9c1ca0effb6840739c0eccba6a9359c3954295ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 賴士葆
委員發言時間 12:02:56 - 12:13:03
會議時間 2025-11-03T09:00:00+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11次全體委員會議(事由:邀請國防部部長顧立雄報告「近年國軍各項軍事工程落後及軍、商購案延宕原因分析及具體應處作為」,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.04784375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 0.11534375
transcript.pyannote[1].end 2.42721875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 3.01784375
transcript.pyannote[2].end 4.43534375
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 4.90784375
transcript.pyannote[3].end 5.24534375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 5.24534375
transcript.pyannote[4].end 5.44784375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 5.44784375
transcript.pyannote[5].end 5.56596875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 6.32534375
transcript.pyannote[6].end 9.70034375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 10.61159375
transcript.pyannote[7].end 16.26471875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 16.85534375
transcript.pyannote[8].end 23.72346875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 24.34784375
transcript.pyannote[9].end 24.88784375
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 24.88784375
transcript.pyannote[10].end 28.36409375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 28.36409375
transcript.pyannote[11].end 28.51596875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 28.95471875
transcript.pyannote[12].end 37.00409375
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 36.56534375
transcript.pyannote[13].end 36.75096875
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 37.00409375
transcript.pyannote[14].end 38.80971875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 38.80971875
transcript.pyannote[15].end 39.02909375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 39.02909375
transcript.pyannote[16].end 39.28221875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 39.28221875
transcript.pyannote[17].end 39.53534375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 39.53534375
transcript.pyannote[18].end 39.65346875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 39.77159375
transcript.pyannote[19].end 39.82221875
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 39.82221875
transcript.pyannote[20].end 40.02471875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 40.02471875
transcript.pyannote[21].end 43.14659375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 43.77096875
transcript.pyannote[22].end 50.65596875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 48.41159375
transcript.pyannote[23].end 49.40721875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 50.87534375
transcript.pyannote[24].end 53.13659375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 52.22534375
transcript.pyannote[25].end 54.52034375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 53.84534375
transcript.pyannote[26].end 78.33096875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 60.61221875
transcript.pyannote[27].end 60.73034375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 70.06221875
transcript.pyannote[28].end 70.45034375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 71.26034375
transcript.pyannote[29].end 71.71596875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 74.85471875
transcript.pyannote[30].end 75.14159375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 76.84596875
transcript.pyannote[31].end 87.62909375
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 87.61221875
transcript.pyannote[32].end 101.43284375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 91.27409375
transcript.pyannote[33].end 92.11784375
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 101.71971875
transcript.pyannote[34].end 102.27659375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 102.95159375
transcript.pyannote[35].end 104.77409375
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 104.85846875
transcript.pyannote[36].end 105.26346875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 105.26346875
transcript.pyannote[37].end 106.56284375
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 105.28034375
transcript.pyannote[38].end 105.29721875
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 105.90471875
transcript.pyannote[39].end 110.34284375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 108.92534375
transcript.pyannote[40].end 108.97596875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 110.05596875
transcript.pyannote[41].end 112.65471875
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 113.54909375
transcript.pyannote[42].end 113.93721875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 113.93721875
transcript.pyannote[43].end 114.02159375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 114.34221875
transcript.pyannote[44].end 114.35909375
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 114.35909375
transcript.pyannote[45].end 114.42659375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 114.42659375
transcript.pyannote[46].end 117.58221875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 117.27846875
transcript.pyannote[47].end 121.93596875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 124.02846875
transcript.pyannote[48].end 126.28971875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 124.34909375
transcript.pyannote[49].end 124.65284375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 125.91846875
transcript.pyannote[50].end 127.77471875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 128.12909375
transcript.pyannote[51].end 128.92221875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 129.17534375
transcript.pyannote[52].end 129.58034375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 129.73221875
transcript.pyannote[53].end 131.60534375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 131.60534375
transcript.pyannote[54].end 132.34784375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 133.42784375
transcript.pyannote[55].end 133.91721875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 134.23784375
transcript.pyannote[56].end 135.11534375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 135.14909375
transcript.pyannote[57].end 135.25034375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 135.25034375
transcript.pyannote[58].end 136.53284375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 137.44409375
transcript.pyannote[59].end 138.70971875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 139.13159375
transcript.pyannote[60].end 140.68409375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 140.68409375
transcript.pyannote[61].end 141.02159375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 141.02159375
transcript.pyannote[62].end 142.32096875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 142.91159375
transcript.pyannote[63].end 145.54409375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 145.91534375
transcript.pyannote[64].end 148.36221875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 148.56471875
transcript.pyannote[65].end 149.47596875
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 150.25221875
transcript.pyannote[66].end 153.50909375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 153.40784375
transcript.pyannote[67].end 155.70284375
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 154.58909375
transcript.pyannote[68].end 157.71096875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 157.67721875
transcript.pyannote[69].end 158.33534375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 159.34784375
transcript.pyannote[70].end 161.20409375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 161.35596875
transcript.pyannote[71].end 164.62971875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 165.79409375
transcript.pyannote[72].end 167.24534375
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 167.44784375
transcript.pyannote[73].end 168.46034375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 168.54471875
transcript.pyannote[74].end 186.29721875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 186.70221875
transcript.pyannote[75].end 189.77346875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 190.19534375
transcript.pyannote[76].end 191.79846875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 193.28346875
transcript.pyannote[77].end 193.89096875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 194.58284375
transcript.pyannote[78].end 196.11846875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 196.54034375
transcript.pyannote[79].end 197.87346875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 198.66659375
transcript.pyannote[80].end 200.33721875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 200.91096875
transcript.pyannote[81].end 208.15034375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 208.77471875
transcript.pyannote[82].end 214.49534375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 215.17034375
transcript.pyannote[83].end 216.36846875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 216.87471875
transcript.pyannote[84].end 217.48221875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 218.08971875
transcript.pyannote[85].end 219.37221875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 219.67596875
transcript.pyannote[86].end 220.60409375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 221.38034375
transcript.pyannote[87].end 222.39284375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 223.08471875
transcript.pyannote[88].end 223.92846875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 224.46846875
transcript.pyannote[89].end 228.13034375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 228.51846875
transcript.pyannote[90].end 243.35159375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 244.78596875
transcript.pyannote[91].end 245.95034375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 246.32159375
transcript.pyannote[92].end 246.91221875
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 247.36784375
transcript.pyannote[93].end 253.10534375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 252.68346875
transcript.pyannote[94].end 256.12596875
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 256.12596875
transcript.pyannote[95].end 262.06596875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 256.36221875
transcript.pyannote[96].end 257.39159375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 261.91409375
transcript.pyannote[97].end 266.20034375
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 266.57159375
transcript.pyannote[98].end 291.41159375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 291.34409375
transcript.pyannote[99].end 291.37784375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 291.41159375
transcript.pyannote[100].end 292.03596875
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 292.03596875
transcript.pyannote[101].end 292.12034375
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 292.94721875
transcript.pyannote[102].end 297.67221875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 296.30534375
transcript.pyannote[103].end 298.12784375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 298.44846875
transcript.pyannote[104].end 304.32096875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 304.74284375
transcript.pyannote[105].end 308.21909375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 308.60721875
transcript.pyannote[106].end 309.43409375
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 309.85596875
transcript.pyannote[107].end 338.94846875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 338.59409375
transcript.pyannote[108].end 342.05346875
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 343.20096875
transcript.pyannote[109].end 350.57534375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 346.60971875
transcript.pyannote[110].end 348.68534375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 350.52471875
transcript.pyannote[111].end 354.60846875
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 354.16971875
transcript.pyannote[112].end 355.57034375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 355.57034375
transcript.pyannote[113].end 357.25784375
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 357.78096875
transcript.pyannote[114].end 362.72534375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 357.89909375
transcript.pyannote[115].end 358.72596875
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 362.72534375
transcript.pyannote[116].end 363.48471875
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 363.90659375
transcript.pyannote[117].end 365.69534375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 366.21846875
transcript.pyannote[118].end 366.23534375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 366.23534375
transcript.pyannote[119].end 367.78784375
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 367.02846875
transcript.pyannote[120].end 368.90159375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 368.90159375
transcript.pyannote[121].end 369.32346875
transcript.pyannote[122].speaker SPEAKER_03
transcript.pyannote[122].start 368.91846875
transcript.pyannote[122].end 368.93534375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 370.18409375
transcript.pyannote[123].end 377.86221875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 379.24596875
transcript.pyannote[124].end 380.19096875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 381.37221875
transcript.pyannote[125].end 386.40096875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 386.58659375
transcript.pyannote[126].end 387.07596875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 387.34596875
transcript.pyannote[127].end 388.64534375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 389.38784375
transcript.pyannote[128].end 392.12159375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 390.88971875
transcript.pyannote[129].end 391.22721875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 391.26096875
transcript.pyannote[130].end 391.27784375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 391.83471875
transcript.pyannote[131].end 394.61909375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 394.97346875
transcript.pyannote[132].end 397.69034375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 398.12909375
transcript.pyannote[133].end 399.63096875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 400.00221875
transcript.pyannote[134].end 400.76159375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 401.50409375
transcript.pyannote[135].end 403.00596875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 403.30971875
transcript.pyannote[136].end 405.62159375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 405.67221875
transcript.pyannote[137].end 408.10221875
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 407.30909375
transcript.pyannote[138].end 420.55596875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 421.31534375
transcript.pyannote[139].end 426.47909375
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 427.27221875
transcript.pyannote[140].end 428.72346875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 429.60096875
transcript.pyannote[141].end 444.28221875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 444.99096875
transcript.pyannote[142].end 446.10471875
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 445.15971875
transcript.pyannote[143].end 450.96471875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 447.10034375
transcript.pyannote[144].end 447.65721875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 450.00284375
transcript.pyannote[145].end 457.59659375
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 456.49971875
transcript.pyannote[146].end 467.50221875
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 467.50221875
transcript.pyannote[147].end 474.91034375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 475.53471875
transcript.pyannote[148].end 481.22159375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 481.59284375
transcript.pyannote[149].end 490.45221875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 489.06846875
transcript.pyannote[150].end 490.62096875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 490.62096875
transcript.pyannote[151].end 490.73909375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 490.73909375
transcript.pyannote[152].end 497.21909375
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 497.97846875
transcript.pyannote[153].end 510.98909375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 508.50846875
transcript.pyannote[154].end 509.70659375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 510.71909375
transcript.pyannote[155].end 513.38534375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 514.41471875
transcript.pyannote[156].end 516.05159375
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 516.91221875
transcript.pyannote[157].end 517.45221875
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 518.05971875
transcript.pyannote[158].end 522.61596875
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 523.07159375
transcript.pyannote[159].end 525.21471875
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 523.56096875
transcript.pyannote[160].end 524.32034375
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 525.80534375
transcript.pyannote[161].end 527.96534375
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 529.28159375
transcript.pyannote[162].end 533.83784375
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 535.06971875
transcript.pyannote[163].end 539.67659375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 539.67659375
transcript.pyannote[164].end 543.55784375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 544.30034375
transcript.pyannote[165].end 559.33596875
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 559.60596875
transcript.pyannote[166].end 568.46534375
transcript.pyannote[167].speaker SPEAKER_03
transcript.pyannote[167].start 568.83659375
transcript.pyannote[167].end 569.78159375
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 569.14034375
transcript.pyannote[168].end 570.69284375
transcript.pyannote[169].speaker SPEAKER_03
transcript.pyannote[169].start 570.69284375
transcript.pyannote[169].end 576.91971875
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 576.56534375
transcript.pyannote[170].end 577.88159375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 578.20221875
transcript.pyannote[171].end 582.53909375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 582.53909375
transcript.pyannote[172].end 583.60221875
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 582.82596875
transcript.pyannote[173].end 604.05471875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 605.08409375
transcript.pyannote[174].end 605.94471875
transcript.whisperx[0].start 0.669
transcript.whisperx[0].end 21.88
transcript.whisperx[0].text 謝謝主席以及各位先進有請我們的顧部長請顧部長這個如果其他的長官有需要可以去幫忙我們看今天的主題當然就是我們向美國買的武器沒有進來那現在有三項延宕25案有6千多億之多
transcript.whisperx[1].start 24.383
transcript.whisperx[1].end 38.872
transcript.whisperx[1].text 那現在來講 我跟委員報告 沒有二十五萬多延宕啊二十五萬裡面 有些延宕的金額六千億 就兩百億美金左右嘛沒有 不是剛剛已經跟委員報告過
transcript.whisperx[2].start 44.376
transcript.whisperx[2].end 61.414
transcript.whisperx[2].text 這個六千五百四十億美元這個數字是一個錯誤的數字卡郭研究所他統計的這些我們的那證據是多少 你就跟我們講證據是多少目前我們所有的二十五個案項是三百餘億是總值三百餘億台幣還是美金美金
transcript.whisperx[3].start 61.974
transcript.whisperx[3].end 64.298
transcript.whisperx[3].text 美金300餘億就9000億喔但是這些案子比如像F16V兩棟的案子竟能提升1370愛國者三行第一次籌購的1790這細節不講了
transcript.whisperx[4].start 79.178
transcript.whisperx[4].end 81.939
transcript.whisperx[4].text 我跟你講 這三項是不是確定 海馬士 延蕩 AGM-154C 飛彈 F-16V這三項確定吧現在就是三項 AGM-154C 跟 F-16V 這個確定吧跟 MK-48 這個三項 剛剛已經跟委員有報告他總體的發價值 發價值是82億8千多萬美金
transcript.whisperx[5].start 103.001
transcript.whisperx[5].end 112.263
transcript.whisperx[5].text 那就是還是兩千多億啊齊東當然最重要就是F16是兩千四百七十二億多F16V原來要什麼時候交貨呃 2020原本是2023年到2026年2023開始加第一架嘛齁那現在第一架現在在哪裡部長要不要解釋在哪裡 第一架在哪裡現在在那個美國對 格陵威爾生產線上面在什麼州啊
transcript.whisperx[6].start 133.702
transcript.whisperx[6].end 155.236
transcript.whisperx[6].text 藍卡藍卡還在生產 出來沒有已經組完了已經組裝完畢組裝完畢 測試沒有呢現在就在等後續的系統測試跟飛測那一架什麼時候可以飛來台灣大家關心這個我想就是要等到這個測試如果能夠順利完成大概什麼時候我們現在沒有辦法確定這個確切的時間那個部長啊
transcript.whisperx[7].start 159.423
transcript.whisperx[7].end 168.006
transcript.whisperx[7].text 我們都知道啦 外面那時候你出任國防部長的時候請問你什麼時候出任的什麼時候出任國防部長去年的520嘛
transcript.whisperx[8].start 168.635
transcript.whisperx[8].end 191.668
transcript.whisperx[8].text 去年的五二零你出任國防部長外面就一台問號為什麼你到處都你這個天才啊這個這個是全方位的人才啊什麼都可以做嘛黨長會也可以做這個不當黨省可以做金管會主委可以做什麼都可以做那其中其中有一個原因很重要有一個原因就是因為你的專長就是法律
transcript.whisperx[9].start 193.308
transcript.whisperx[9].end 207.935
transcript.whisperx[9].text 大律師或是以前叫御用律師律營的御用律師那你用律師的專長看什麼因為未來賴總統已經知道了未來他要跟美國大量採購武器
transcript.whisperx[10].start 208.855
transcript.whisperx[10].end 220.099
transcript.whisperx[10].text 就是說合約很重要什麼履約很重要你就是因為你的法律可以這方面來罩得住可是你前幾天在運會的時候我對你很失望啊你回答說
transcript.whisperx[11].start 224.88
transcript.whisperx[11].end 237.891
transcript.whisperx[11].text 沒有辦法任何球場 也沒有球場 什麼都沒有人家要你當部長 就是在法律方面你難道不能夠說 跟他argue一下美國爸爸跟我們講的 台灣兒子統統接受什麼也不敢講話 請問你在面對美國一而再再而三的delay你可以做什麼事情 你告訴我
transcript.whisperx[12].start 247.363
transcript.whisperx[12].end 265.798
transcript.whisperx[12].text 跟委員報告 第一個我想您剛剛忘了提到 我也有在國安會待過四年四年 對 也是法律 因為你法律背景嘛國安會有管的總統的一個諮詢機關你要不要看一下人家Google怎麼看你就是因為你法律鎮住各方
transcript.whisperx[13].start 266.819
transcript.whisperx[13].end 291.958
transcript.whisperx[13].text 法律 他相信我對各方的這個評論沒有什麼特別的意見但是我想我有在進到國防部之前有過一些相關的歷練這是第一點 第二點F16B的這一個部分是屬於軍購案那軍購案就是國家對國家 政府對政府那這個部分依照發價數的標準條款的相關規定就是說有任何爭議要來協商解決你有沒有協商
transcript.whisperx[14].start 292.984
transcript.whisperx[14].end 297.987
transcript.whisperx[14].text 那我們就是有沒有協商當然有進行協商啊不然的話問題是還是一直delay啊delay你沒有賠償條款沒有補償條款什麼都沒有所以我就問你交貨日期有沒有改過交貨日期改過沒有改了幾次
transcript.whisperx[15].start 310.252
transcript.whisperx[15].end 337.617
transcript.whisperx[15].text 我想我們都一直是在2026年之前預計要能夠完成66架的交運這一個部分到今天並沒有改變這個交運的時間表那我們已經也一直報告就是說現在美國的Greenway的產線都是在組裝我們的這個戰機那在線的組裝有總共有50架正在組裝那已經也有組裝完成等待測試飛行
transcript.whisperx[16].start 338.677
transcript.whisperx[16].end 365.236
transcript.whisperx[16].text 我請問你那個錢現在在哪裡我們匯出去的錢在哪裡我們匯出去的錢有的是在FRB帳戶裡面在美國聯邦儲備銀行有的是附到信託的帳戶裡面在美國聯邦儲備銀行對 那個是我們的帳戶啊那是我們的帳戶 匯到那裡給美國沒有也有已經交付給這個美國政府的好 那個是多少這個部分可能要查一下
transcript.whisperx[17].start 366.26
transcript.whisperx[17].end 370.725
transcript.whisperx[17].text 多少 要再講一下嗎多少多少錢多少 那講一下
transcript.whisperx[18].start 382.18
transcript.whisperx[18].end 396.064
transcript.whisperx[18].text 我們結匯出去大概47億多美金然後交付廠商大概10億美金交付廠商是 Lockheed Martin 洛克希德馬丁所以我們的帳戶交給廠商10億美金就這個意思
transcript.whisperx[19].start 401.745
transcript.whisperx[19].end 408.049
transcript.whisperx[19].text 所以這個就問顧部長啊交貨給他 他都沒有給我們這個飛機我們本來就有一個在做這個前置的備料跟生產線開始的時候就依照合約本來就有一個交付那後來在113年的第一季的時候因為他沒有實際交我們就停戶了來 部長 這個審計部都有報告了審計部對你們也是不滿意的我就問一個我就做糗給你啦
transcript.whisperx[20].start 429.67
transcript.whisperx[20].end 441.344
transcript.whisperx[20].text 台灣這裡 我們國會議員提出一個東西我們可以不可以因為他予以再三的delay所以我們提出一個賠償方式那就是說 我繼續跟你買飛機你給我F-35更好的F-35
transcript.whisperx[21].start 446.075
transcript.whisperx[21].end 453.823
transcript.whisperx[21].text 我想軍購案都有一定的政府跟政府協商的一個程序政府跟政府買F-35啊你給我延遲這麼久你給我其他F-35啊F-35你敢不敢提出來我們會依據我們的國防這個防衛戰力的一個需求我們會來適時的跟美方做進行討論檢討但我沒有辦法在這邊跟您承諾什麼好不好
transcript.whisperx[22].start 467.717
transcript.whisperx[22].end 495.523
transcript.whisperx[22].text 那最少你可以說 那我總是要賠償可以叫他賠償一點不要說賠償了 補償一點啦 補償補償一點 因為你是這方面專家啊你律師罪會討價還價的 來來來可以嗎我們在美國對外的軍售體系裡面他是沒有這個機制的他本身是一個代替其他國家政府去購買那你的意思就是美國反正美國爸爸怎麼樣把你抵蕾我們就鼻子摸一摸 這樣而已變成這樣而已
transcript.whisperx[23].start 498.028
transcript.whisperx[23].end 513.096
transcript.whisperx[23].text 跟委員報告我想軍購案的這個部分剛剛也講了二十五案裡面也有很多項都是已經交付那也或者是在交付當中的那所以相關延宕的部分我們也跟美國招待這個會議來進行管制我們會來部長部長我再問你一個最後一個問題齁萬一明年底也沒辦法交付勒你怎麼辦相關會依照預算法的相關規定報請行政院來辦理
transcript.whisperx[24].start 523.436
transcript.whisperx[24].end 527.8
transcript.whisperx[24].text 對美國啊 不是對我們自己啊你說對我們自己 對美國怎麼辦他沒辦法交貨啊到2026年底沒辦法交貨怎麼辦我想我們還是會跟美方進行一個密切的溝通他等於沒有講 我要跟你強調今天最新的消息
transcript.whisperx[25].start 544.386
transcript.whisperx[25].end 553.008
transcript.whisperx[25].text 美國國防部長赫格賽斯說美中關係史上最好而且川普說了習近平答應他任內川普任內不會打台灣也就是2028以前台海不會有戰爭所以我預估大概川普卸任之前這筆貨才可能交大概延到2027這個機率很高的
transcript.whisperx[26].start 568.852
transcript.whisperx[26].end 570.974
transcript.whisperx[26].text 結果你都沒有那個因應啊所以我們要武器啊既然要實力我們要武器啊對不對所以這個我最後就一句話我覺得部長你要有
transcript.whisperx[27].start 585.47
transcript.whisperx[27].end 588.733
transcript.whisperx[27].text 對外面要有一點宣示的東西啦你會找你當部長大家都知道一個原因之一就是你是大律師啊是不是大律師就會討價還借啊結果你對美國來講我看到的是束手無策啊什麼都沒有啊這才是我們比較難過的地方啦部長你要加油好 謝謝