iVOD / 166470

Field Value
IVOD_ID 166470
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/166470
日期 2025-12-17
會議資料.會議代碼 委員會-11-4-35-22
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22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 22
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22次全體委員會議
影片種類 Clip
開始時間 2025-12-17T10:22:59+08:00
結束時間 2025-12-17T10:39:16+08:00
影片長度 00:16:17
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/a6d7659fd659acd0a2a31c59529e7a6b212f972bfaabac2cfbddbc901a86fecf2fac930a77093c4f5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 陳永康
委員發言時間 10:22:59 - 10:39:16
會議時間 2025-12-17T09:00:00+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22 次全體委員會議(事由:邀請國家安全局局長蔡明彥、國防部部長顧立雄報告「台海與周邊潛在軍事衝突熱點情勢分析與國軍戰備應變整備情形」,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 3.92909375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 3.50721875
transcript.pyannote[1].end 5.90346875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 14.47596875
transcript.pyannote[2].end 18.69471875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 16.31534375
transcript.pyannote[3].end 17.02409375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 19.48784375
transcript.pyannote[4].end 21.95159375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 22.71096875
transcript.pyannote[5].end 23.25096875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 23.70659375
transcript.pyannote[6].end 24.33096875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 25.83284375
transcript.pyannote[7].end 27.08159375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 27.55409375
transcript.pyannote[8].end 28.60034375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 30.18659375
transcript.pyannote[9].end 33.19034375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 38.11784375
transcript.pyannote[10].end 39.24846875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 40.66596875
transcript.pyannote[11].end 42.10034375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 43.26471875
transcript.pyannote[12].end 46.52159375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 47.34846875
transcript.pyannote[13].end 48.05721875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 49.10346875
transcript.pyannote[14].end 49.93034375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 49.94721875
transcript.pyannote[15].end 49.96409375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 50.30159375
transcript.pyannote[16].end 50.97659375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 51.70221875
transcript.pyannote[17].end 53.79471875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 54.01409375
transcript.pyannote[18].end 54.87471875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 55.34721875
transcript.pyannote[19].end 63.22784375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 63.90284375
transcript.pyannote[20].end 70.73721875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 71.37846875
transcript.pyannote[21].end 74.11221875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 75.29346875
transcript.pyannote[22].end 80.72721875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 80.94659375
transcript.pyannote[23].end 83.66346875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 83.89971875
transcript.pyannote[24].end 89.08034375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 89.70471875
transcript.pyannote[25].end 91.64534375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 92.18534375
transcript.pyannote[26].end 93.87284375
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 93.92346875
transcript.pyannote[27].end 96.67409375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 97.43346875
transcript.pyannote[28].end 107.89596875
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 108.87471875
transcript.pyannote[29].end 111.92909375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 112.11471875
transcript.pyannote[30].end 114.12284375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 114.98346875
transcript.pyannote[31].end 116.63721875
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 117.56534375
transcript.pyannote[32].end 122.96534375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 124.24784375
transcript.pyannote[33].end 125.74971875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 126.32346875
transcript.pyannote[34].end 129.07409375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 129.88409375
transcript.pyannote[35].end 130.32284375
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 131.47034375
transcript.pyannote[36].end 132.46596875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 132.87096875
transcript.pyannote[37].end 134.57534375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 135.03096875
transcript.pyannote[38].end 135.58784375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 135.99284375
transcript.pyannote[39].end 136.63409375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 137.49471875
transcript.pyannote[40].end 139.87409375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 140.49846875
transcript.pyannote[41].end 142.37159375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 143.09721875
transcript.pyannote[42].end 144.56534375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 145.30784375
transcript.pyannote[43].end 146.60721875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 147.04596875
transcript.pyannote[44].end 152.02409375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 152.34471875
transcript.pyannote[45].end 153.49221875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 154.04909375
transcript.pyannote[46].end 155.19659375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 155.78721875
transcript.pyannote[47].end 157.69409375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 158.18346875
transcript.pyannote[48].end 159.11159375
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 160.52909375
transcript.pyannote[49].end 171.44721875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 172.54409375
transcript.pyannote[50].end 179.02409375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 179.78346875
transcript.pyannote[51].end 184.00221875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 184.42409375
transcript.pyannote[52].end 186.07784375
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 186.43221875
transcript.pyannote[53].end 194.93721875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 195.40971875
transcript.pyannote[54].end 196.55721875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 206.93534375
transcript.pyannote[55].end 218.59596875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 219.11909375
transcript.pyannote[56].end 229.54784375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 229.85159375
transcript.pyannote[57].end 232.93971875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 233.22659375
transcript.pyannote[58].end 235.15034375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 235.52159375
transcript.pyannote[59].end 238.86284375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 239.01471875
transcript.pyannote[60].end 243.84096875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 244.43159375
transcript.pyannote[61].end 245.41034375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 245.74784375
transcript.pyannote[62].end 249.00471875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 249.57846875
transcript.pyannote[63].end 252.16034375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 252.59909375
transcript.pyannote[64].end 257.76284375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 258.21846875
transcript.pyannote[65].end 261.39096875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 261.57659375
transcript.pyannote[66].end 262.57221875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 263.24721875
transcript.pyannote[67].end 265.06971875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 265.50846875
transcript.pyannote[68].end 268.69784375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 269.01846875
transcript.pyannote[69].end 270.90846875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 271.09409375
transcript.pyannote[70].end 287.69909375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 288.37409375
transcript.pyannote[71].end 292.94721875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 293.25096875
transcript.pyannote[72].end 298.78596875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 299.51159375
transcript.pyannote[73].end 301.40159375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 302.05971875
transcript.pyannote[74].end 318.49596875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 319.20471875
transcript.pyannote[75].end 319.57596875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 321.28034375
transcript.pyannote[76].end 324.43596875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 324.95909375
transcript.pyannote[77].end 332.31659375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 332.82284375
transcript.pyannote[78].end 333.51471875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 334.00409375
transcript.pyannote[79].end 334.98284375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 336.02909375
transcript.pyannote[80].end 339.04971875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 339.85971875
transcript.pyannote[81].end 342.61034375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 343.13346875
transcript.pyannote[82].end 349.44471875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 350.10284375
transcript.pyannote[83].end 358.92846875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 359.02971875
transcript.pyannote[84].end 361.91534375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 362.94471875
transcript.pyannote[85].end 370.82534375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 371.29784375
transcript.pyannote[86].end 373.30596875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 375.60096875
transcript.pyannote[87].end 376.39409375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 377.49096875
transcript.pyannote[88].end 379.43159375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 379.80284375
transcript.pyannote[89].end 385.10159375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 386.35034375
transcript.pyannote[90].end 387.02534375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 387.51471875
transcript.pyannote[91].end 391.80096875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 392.20596875
transcript.pyannote[92].end 393.38721875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 393.65721875
transcript.pyannote[93].end 395.09159375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 395.90159375
transcript.pyannote[94].end 396.62721875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 397.15034375
transcript.pyannote[95].end 400.55909375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 401.72346875
transcript.pyannote[96].end 402.68534375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 403.30971875
transcript.pyannote[97].end 407.51159375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 407.91659375
transcript.pyannote[98].end 409.78971875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 410.71784375
transcript.pyannote[99].end 426.15846875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 426.76596875
transcript.pyannote[100].end 428.60534375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 429.06096875
transcript.pyannote[101].end 429.88784375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 430.54596875
transcript.pyannote[102].end 432.41909375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 432.60471875
transcript.pyannote[103].end 449.88471875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 454.57596875
transcript.pyannote[104].end 455.35221875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 455.65596875
transcript.pyannote[105].end 456.17909375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 456.78659375
transcript.pyannote[106].end 459.82409375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 460.46534375
transcript.pyannote[107].end 461.98409375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 462.81096875
transcript.pyannote[108].end 465.19034375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 466.48971875
transcript.pyannote[109].end 478.20096875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 479.16284375
transcript.pyannote[110].end 482.68971875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 483.24659375
transcript.pyannote[111].end 484.76534375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 484.90034375
transcript.pyannote[112].end 506.28096875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 506.85471875
transcript.pyannote[113].end 508.81221875
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 509.08221875
transcript.pyannote[114].end 511.66409375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 511.71471875
transcript.pyannote[115].end 518.36346875
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 518.95409375
transcript.pyannote[116].end 519.84846875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 520.72596875
transcript.pyannote[117].end 526.66596875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 527.02034375
transcript.pyannote[118].end 532.08284375
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 532.53846875
transcript.pyannote[119].end 547.64159375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 547.84409375
transcript.pyannote[120].end 548.33346875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 548.82284375
transcript.pyannote[121].end 549.98721875
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 550.37534375
transcript.pyannote[122].end 554.08784375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 554.72909375
transcript.pyannote[123].end 555.43784375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 555.97784375
transcript.pyannote[124].end 559.45409375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 560.09534375
transcript.pyannote[125].end 562.74471875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 563.26784375
transcript.pyannote[126].end 565.66409375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 566.27159375
transcript.pyannote[127].end 567.55409375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 569.64659375
transcript.pyannote[128].end 570.18659375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 570.96284375
transcript.pyannote[129].end 571.50284375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 572.11034375
transcript.pyannote[130].end 572.70096875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 573.34221875
transcript.pyannote[131].end 576.49784375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 577.24034375
transcript.pyannote[132].end 584.66534375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 585.03659375
transcript.pyannote[133].end 588.95159375
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 589.33971875
transcript.pyannote[134].end 591.14534375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 591.44909375
transcript.pyannote[135].end 592.68096875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 593.55846875
transcript.pyannote[136].end 594.95909375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 595.21221875
transcript.pyannote[137].end 596.74784375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 597.47346875
transcript.pyannote[138].end 599.29596875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 600.34221875
transcript.pyannote[139].end 602.97471875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 604.15596875
transcript.pyannote[140].end 605.11784375
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 606.09659375
transcript.pyannote[141].end 608.47596875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 610.28159375
transcript.pyannote[142].end 614.83784375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 614.92221875
transcript.pyannote[143].end 617.75721875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 618.43221875
transcript.pyannote[144].end 624.59159375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 625.13159375
transcript.pyannote[145].end 626.09346875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 626.49846875
transcript.pyannote[146].end 630.27846875
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 631.27409375
transcript.pyannote[147].end 633.65346875
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 634.68284375
transcript.pyannote[148].end 635.79659375
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 636.18471875
transcript.pyannote[149].end 637.14659375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 637.78784375
transcript.pyannote[150].end 638.29409375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 639.61034375
transcript.pyannote[151].end 645.14534375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 645.48284375
transcript.pyannote[152].end 646.86659375
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 646.96784375
transcript.pyannote[153].end 654.83159375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 654.84846875
transcript.pyannote[154].end 654.86534375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 655.06784375
transcript.pyannote[155].end 656.06346875
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 657.37971875
transcript.pyannote[156].end 660.97409375
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 661.80096875
transcript.pyannote[157].end 664.83846875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 665.46284375
transcript.pyannote[158].end 666.59346875
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 667.55534375
transcript.pyannote[159].end 669.96846875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 670.98096875
transcript.pyannote[160].end 671.60534375
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 672.07784375
transcript.pyannote[161].end 672.76971875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 674.55846875
transcript.pyannote[162].end 678.20346875
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 679.46909375
transcript.pyannote[163].end 680.29596875
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 680.73471875
transcript.pyannote[164].end 682.43909375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 683.06346875
transcript.pyannote[165].end 684.41346875
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 684.73409375
transcript.pyannote[166].end 685.78034375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 686.64096875
transcript.pyannote[167].end 687.29909375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 688.78409375
transcript.pyannote[168].end 700.64721875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 702.33471875
transcript.pyannote[169].end 704.61284375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 705.69284375
transcript.pyannote[170].end 706.30034375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 706.70534375
transcript.pyannote[171].end 707.39721875
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 707.97096875
transcript.pyannote[172].end 723.07409375
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 723.61409375
transcript.pyannote[173].end 734.92034375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 735.40971875
transcript.pyannote[174].end 736.47284375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 736.99596875
transcript.pyannote[175].end 738.05909375
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 738.95346875
transcript.pyannote[176].end 744.74159375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 747.05346875
transcript.pyannote[177].end 764.83971875
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 764.95784375
transcript.pyannote[178].end 768.72096875
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 769.19346875
transcript.pyannote[179].end 770.17221875
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 771.11721875
transcript.pyannote[180].end 772.68659375
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 773.63159375
transcript.pyannote[181].end 776.31471875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 776.92221875
transcript.pyannote[182].end 780.22971875
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 780.60096875
transcript.pyannote[183].end 781.10721875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 781.37721875
transcript.pyannote[184].end 785.15721875
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 785.27534375
transcript.pyannote[185].end 786.43971875
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 786.82784375
transcript.pyannote[186].end 788.80221875
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 789.69659375
transcript.pyannote[187].end 790.33784375
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 791.06346875
transcript.pyannote[188].end 793.57784375
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 794.05034375
transcript.pyannote[189].end 802.94346875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 803.21346875
transcript.pyannote[190].end 806.28471875
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 806.77409375
transcript.pyannote[191].end 811.31346875
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 811.71846875
transcript.pyannote[192].end 813.40596875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 813.74346875
transcript.pyannote[193].end 823.98659375
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 824.30721875
transcript.pyannote[194].end 843.13971875
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 844.42221875
transcript.pyannote[195].end 845.48534375
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 846.41346875
transcript.pyannote[196].end 879.28596875
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 879.96096875
transcript.pyannote[197].end 894.81096875
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 895.19909375
transcript.pyannote[198].end 897.66284375
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 898.16909375
transcript.pyannote[199].end 899.48534375
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 899.77221875
transcript.pyannote[200].end 900.68346875
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 901.42596875
transcript.pyannote[201].end 902.32034375
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 902.79284375
transcript.pyannote[202].end 906.94409375
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 906.96096875
transcript.pyannote[203].end 910.74096875
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 911.23034375
transcript.pyannote[204].end 922.03034375
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 922.51971875
transcript.pyannote[205].end 926.16471875
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 926.46846875
transcript.pyannote[206].end 966.56346875
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 966.64784375
transcript.pyannote[207].end 969.33096875
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 969.46596875
transcript.pyannote[208].end 969.73596875
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 970.37721875
transcript.pyannote[209].end 971.11971875
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 973.65096875
transcript.pyannote[210].end 974.25846875
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 976.09784375
transcript.pyannote[211].end 976.72221875
transcript.whisperx[0].start 0.249
transcript.whisperx[0].end 28.482
transcript.whisperx[0].text 有請國安局蔡局長跟顧部長兩位請蔡局長還有顧部長兩位長官早今天有些問題要向大家請益首先就是國安局講的提到了美國的國家安全戰略國防部也提到了
transcript.whisperx[1].start 30.233
transcript.whisperx[1].end 50.782
transcript.whisperx[1].text 美国的国家安全战略是哪一年开始有的我向大家做说明1986年高尼法案那么日本的国家安全战略2013年第一个版本出来然后到了2015年安保法
transcript.whisperx[2].start 51.741
transcript.whisperx[2].end 73.638
transcript.whisperx[2].text 集體自衛法然後2022年安保三法那麼高市早苗在上任以後原本是2027年要推出新版本他現在決定2026年就要推出那麼我們都是看別人的國家安全戰略來定位我自己的核心利益我覺得這個非常不妥本席啊已經在過去的10年間
transcript.whisperx[3].start 75.373
transcript.whisperx[3].end 96.48
transcript.whisperx[3].text 重复的向我们的政府长官提议尤其是国安国防国家安全战略不是军事战略军事战略是赢得胜利战争的胜利国家安全战略是赢得和平如果我们自己没有一个对自己的核心价值去读人家的国安战略来决定
transcript.whisperx[4].start 97.469
transcript.whisperx[4].end 122.723
transcript.whisperx[4].text 我的重要性提台湾八次六次这个有什么差别那现在用这个图片您看刚才国安局提的这个日本呢有提供了一些他未来部署飞弹我们透过图层就知道他所在的位置那他所在的位置是他部署或者是将来机动能够涵盖的范围
transcript.whisperx[5].start 124.295
transcript.whisperx[5].end 144.426
transcript.whisperx[5].text 但是并没有涵盖它的sensor所以我们讲的这种战略性的共同图像是大范围的战略态势 卫照 海图 航图武器sensor的图全部套叠上去对我们内部长官的判别就有一个清楚的方法
transcript.whisperx[6].start 145.396
transcript.whisperx[6].end 171.19
transcript.whisperx[6].text 所以我一直在强调JCOP共同图像刚才讲的是战略共同图像战术图像火邪的图像那刚才讲的如果去中心化分散配置授权这个涉及到武装冲突法他的承担责任那就是长官将来ROE里面要背书同时这个东西要去纳入
transcript.whisperx[7].start 172.571
transcript.whisperx[7].end 196.344
transcript.whisperx[7].text 国防大学子餐教育因为你的子餐教育没有教这个你叫连三讲交联二讲这是没有用的所以所有的图像必须要精准交叉比对我相信这个目前因为国军啊士林营场也没有做这个东西陆军有没有这个力那个海军是不是能够协助解释我们如何能够提供共同图像
transcript.whisperx[8].start 207.44
transcript.whisperx[8].end 234.675
transcript.whisperx[8].text 海軍參謀長報告那目前我們大氣局有負責的相關因為我們整個的GPS系統有分六拐跟八四的WGS在這些坐標校正那我們目前大氣局跟內政部還有各部會所需要的圖資包括我們三軍也會在我們勤制式的這個整合下後面我們大氣局可以協助做這個相關的圖資的校正然後跟相關圖資的可以校正完之後怎麼來
transcript.whisperx[9].start 235.655
transcript.whisperx[9].end 262.143
transcript.whisperx[9].text 回到這個整個COP裡面後面我們會提供必要的協助我特別要強調因為到現在我們的陸軍啊作戰區還是用UTM坐標圖 紙本的圖那它跟海空軍的圖完全不能夠比對那即使去中心化你的授權跨部隊的橫向協調沒有共同圖像這是非常高的風險但誠如部長講的如果只是自衛而不是反擊
transcript.whisperx[10].start 263.311
transcript.whisperx[10].end 287.443
transcript.whisperx[10].text 那这个授权是没有关系的你现在的海马斯已经是全部素面化将来的滨海作战指挥部机动鱼叉这两个单位是没有办法沟通的因为通讯装备只管不同所以去中心化只是针对各单位做自我防卫的一个火力开放而不是反击这些定位要清楚这些东西如果不在武装冲突法
transcript.whisperx[11].start 288.747
transcript.whisperx[11].end 301.359
transcript.whisperx[11].text 海上这些法律的在我们的国防大学法律系或者职参教育先去定位清楚变成我们未来的指挥官的一个教学的话只要人一定要拆这个就去掉了
transcript.whisperx[12].start 302.133
transcript.whisperx[12].end 319.447
transcript.whisperx[12].text 美軍的DEFCON THREATCOM INFOCOM他都有交叉比對雖然我們現在是兩階段三個不同的方法你提升戰備到應急戰備那這個當然有中心啊不可能中心一夜被摧毀不然我們未來台灣之盾整個concept就被毀掉了所以
transcript.whisperx[13].start 321.325
transcript.whisperx[13].end 349.24
transcript.whisperx[13].text 台湾之盾就是一个完整的网络结构如果这个地方去掉了其他可以补足但绝对不是直线的这个授权往下走我们再看下一张图这张图是海图周遭的东西可是呢台湾滩在哪里我们国安局的报告台湾滩是四亿那至于啊从平潭岛到厦门岛他执行海上这个搜救任务
transcript.whisperx[14].start 350.431
transcript.whisperx[14].end 373.465
transcript.whisperx[14].text 占便宜吃豆腐利用台湾这个名称启扰我们的影响我们的民心士气但是有图一出来清楚解释那这种图在国安局没有国防部也没有因为这是大海区可以协助航图海图路图做校正套叠这个叫做共同图像而不是一个概念性的解释共同图像各位看这个图
transcript.whisperx[15].start 378.083
transcript.whisperx[15].end 402.471
transcript.whisperx[15].text 這張圖是大的衛星照片根據國際民航組織的圖所有的空軍 中共的訓練空域我們的訓練空域全部要標上去因為你不能影響民航機的飛行那從這個圖像你看到一個大範圍這個時候再根據我們國防部每天公布的這個圖套疊上去
transcript.whisperx[16].start 403.362
transcript.whisperx[16].end 425.978
transcript.whisperx[16].text 请问长官这样子是不是你对周遭的战略态势可以有一个更客观的判断所以说绝对不是用一张图必须用套叠我们国防部也很辛苦每天公布攻击绕台绕台但是你有没有把其他的训练空域标注出来目前没有这个可以努力可以精进我是肯定
transcript.whisperx[17].start 426.843
transcript.whisperx[17].end 449.856
transcript.whisperx[17].text 那比方讲南海的图周遭的图整个的状况全部在我们国安团队跟国安局要能够分享我希望海军在图的方面因为你们有GIS做校正的能力401厂只是列印把这个图这个能力分享让长官有一个大格局宏观的看法特别讲到这个
transcript.whisperx[18].start 456.849
transcript.whisperx[18].end 478.007
transcript.whisperx[18].text 中共在南海跟菲律宾的问题我特别要强调有关在黄岩岛也就是民主交的中共跟菲律宾因为执法潜在的冲突但是我提过外交部讲根据我们内支部领海法这是我们的主权范围即使你现在没有派人管即使是一个小交群
transcript.whisperx[19].start 479.192
transcript.whisperx[19].end 506.137
transcript.whisperx[19].text 但这不是菲律宾的权益也不是中共的权益我们的立场要说明因为内政部的领海公布里面在这里面至于刚刚讲的下面的这个什么仁爱交啊先兵交大家只是概念根本不知道在哪里所以我们要把图像做出来然后在跨部会的协商的时候大家才知道这个影响是什么哪些是我们的国家权益哪些是民主的价值这两个不是同步的
transcript.whisperx[20].start 506.917
transcript.whisperx[20].end 519.575
transcript.whisperx[20].text 那现在我特别要提到我们都谈美国的国家安全战略日本的国家安全战略因为这么多年来我们没有我们版本的国家安全战略并不是军事战略所以对
transcript.whisperx[21].start 520.942
transcript.whisperx[21].end 547.216
transcript.whisperx[21].text 陸委會海委會內政部能源經濟醫療體系我們純粹使用軍事講所以說有沒有軍事衝突他是有戰略預警的並不是純軍事上剛才部長講的是一個小規模的衝突但不是全面犯台全面犯台的作戰計畫我想聯二我們大家知道反向預算不管是能源要準備醫療體系要準備儲油要準備甚至外匯存底黃金都會有變動所以
transcript.whisperx[22].start 548.877
transcript.whisperx[22].end 572.519
transcript.whisperx[22].text 一定要有自己的国家安全战略才有的国家利益核心目标这个时候军事的从上到下从下到上的支撑才是完整的那同样美国的国家安全战略出来国防战略 军事战略 印太战略包括它的美国的国务院 国防部
transcript.whisperx[23].start 573.393
transcript.whisperx[23].end 602.303
transcript.whisperx[23].text 中情局甚至国会他都有专案小组他的资讯分解分享就是刚才局长讲的跨部会要有一个完整的资讯分享立场不同责任不同但是核心利益要怎么样做化解出来这个就是告诉我们现在我们缺乏的是什么我们没有国家安全战略我们今年出了这个四年期国防总检讨比起上一个版本有进步从48页
transcript.whisperx[24].start 604.192
transcript.whisperx[24].end 633.434
transcript.whisperx[24].text 变到59页国防战略从1页半变到4页那我们刚出来的国防战略就是白皮书啊2025年的从183页变到189页内容啊从4页变到6页我们是在进步但是跟周边的国家相比啊我们落后很多为什么呢因为没有一个国家安全战略做总指导所以纯粹用国防部的立场来看
transcript.whisperx[25].start 634.761
transcript.whisperx[25].end 660.748
transcript.whisperx[25].text 是不够周延的诚如刚才第一个我们执政党的委员讲说我们在杯葛在程序委员会我向大家回应如果执政党在野党的总召跟他的书记长能够在开程序委员会之前先做沟通了解观念就不是在程序委员会投票未反对觉得反对
transcript.whisperx[26].start 663.802
transcript.whisperx[26].end 686.901
transcript.whisperx[26].text 請問這個1.25兆裡面在國內增加國內的實力佔比佔有多少五分之一 四分之一這個站會市長委員問的是實力還是自主我們講的這個1.25兆投資在國內的百分比佔多少投資在國內
transcript.whisperx[27].start 689.938
transcript.whisperx[27].end 704.413
transcript.whisperx[27].text 這個部分我們還要等到我們軍售案的額度確認之後才有辦法去計算我們國內的佔比但是基本上國內的佔比會佔相當大的部分你講的是一個很好的理念
transcript.whisperx[28].start 705.745
transcript.whisperx[28].end 734.646
transcript.whisperx[28].text 军售案商售案军售融资总统特别授权法案这四个案子的特别比例搞不清楚那国内就不知道1.25兆是投资但是并不是life cycle support如果你算它的受限受期的维保可能再加2.5兆这个是不在这里面的你1.25兆的建立的是能力并不是量能所以在野党跟执政党是需要做沟通我当然支持我觉得你还不够
transcript.whisperx[29].start 735.475
transcript.whisperx[29].end 744.508
transcript.whisperx[29].text 你的人才培养你的后勤为宝你这些东西都不在里面了你现在看到只是装备而且美国的厂商看到商机很好大家都来
transcript.whisperx[30].start 747.096
transcript.whisperx[30].end 772.464
transcript.whisperx[30].text 表达诚意啊但是很多东西框架上只是在那边细节他也讲不出来啊所以我们提出的建言是什么希望能够努力的执行朝正确方案走我当然支持我还觉得你应该增加了因为你要把后勤为保的life cycle授其成本全部放进去不是只是硬体投资啊所以从这个图看完了以后我们看这张图因为没有国家安全战略
transcript.whisperx[31].start 773.72
transcript.whisperx[31].end 790.089
transcript.whisperx[31].text 所以呢我们只是从纯军事的着眼那友邦呢我们是去看他的我自己的战略意味跟我的核心价值不是去读美国读日本的国家安全战略请问我们政府能不能在国防部国安局
transcript.whisperx[32].start 791.124
transcript.whisperx[32].end 805.994
transcript.whisperx[32].text 陆委会内政部所有部会共同努力下希望在这个政府的任期内推出我们的官方版的国家安全战略这样你的有盟才能定义你的核心价值如果这样子看各位看我们有很多大的缺口
transcript.whisperx[33].start 806.855
transcript.whisperx[33].end 823.637
transcript.whisperx[33].text 这是努力不够不是各位努力不够是团队的整合不够所以我再次提出来光读别人的国家安全战略而没有产生中华民国官方版的国安战略这有很大的一个落差也就是说你1.25兆的诚意很好
transcript.whisperx[34].start 824.383
transcript.whisperx[34].end 845.283
transcript.whisperx[34].text 那一方面讲2030年GDP5%但是1.5呢北造北约是属于社会韧性那在这个1.25到8年的期程里面的那为什么不能在本国的产业能力而是要等美国发架完了才剩下的给我们那你要做一个公平的分配嘛
transcript.whisperx[35].start 846.702
transcript.whisperx[35].end 865.88
transcript.whisperx[35].text 報告委員 這個要跟委員報告一下我們在這一次的防衛任性跟不對稱戰力的特別預算裡面我們是一個有計畫性的規劃中間我們會有引進很多新興戰力那這些部分我們都希望落地生產落地建立能量但這個能量不是一天可以建得起來的
transcript.whisperx[36].start 866.3
transcript.whisperx[36].end 879.154
transcript.whisperx[36].text 所以在這個部分我們除了在特別預算裡面奠定了基礎之外我們也會在後續的年度公務預算裡面去編列讓國內的產業能夠逐漸的成長起來去建立我們國內的量能
transcript.whisperx[37].start 880.117
transcript.whisperx[37].end 900.476
transcript.whisperx[37].text 你这个讲得很好也就是说年度预算跟八年每一年这中间的关系的勾迹那你们请提书面报告我们会支持但是并不是成如第一个这个冯委员讲的为反对而反对因为你根本没有在执政党跟在野党的
transcript.whisperx[38].start 901.657
transcript.whisperx[38].end 925.702
transcript.whisperx[38].text 我們講的 黨編啊 召委啊 你根本沒有做溝通 而不是進了會場用投票我們沒有機會跟他溝通啊 我問他也講不出來啊他們哪一個懂細節 他誰懂軍售過程 誰懂DCS那DCS既然有 為什麼不能夠我們的貿易談判代表去抵消我們對美國的貿易順差DCS還包括計轉啊 工合啊 為什麼都不談
transcript.whisperx[39].start 926.542
transcript.whisperx[39].end 946.18
transcript.whisperx[39].text 那既然FMF军售融资我们已经编了预算我要你贷款但是我可以给你给你东西现在又不给了总统特别授权法案是可以给啊但给的是旧装备啊后续的料配件你要花钱买这些东西执政党的同仁在本会委员会里面他根本搞不清楚啊我的建议是拉高沟通成绩
transcript.whisperx[40].start 946.38
transcript.whisperx[40].end 970.898
transcript.whisperx[40].text 我们当然支持持续性的国防成长尤其是国家安全战略我们强烈建议务必在这个政府任内推出官方版的国安战略不要光看别人的你自己连我们自己的自传都没有去看别人对我的评价来决定我的未来生涯规划这是不客观不公平的谢谢各位的指教如果有回答请回答好 谢谢委员好 谢谢好 谢谢各位
transcript.whisperx[41].start 976.118
transcript.whisperx[41].end 976.681
transcript.whisperx[41].text 謝謝