iVOD / 165140

Field Value
IVOD_ID 165140
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165140
日期 2025-11-06
會議資料.會議代碼 委員會-11-4-35-13
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13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 13
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13次全體委員會議
影片種類 Clip
開始時間 2025-11-06T09:29:50+08:00
結束時間 2025-11-06T09:43:40+08:00
影片長度 00:13:50
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/1b25429c8c6a3a8ca05c335db3abbbe591e8053ceea3e5d7b15cd27f7aef3b91dc4b3d14b593074c5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 陳永康
委員發言時間 09:29:50 - 09:43:40
會議時間 2025-11-06T09:00:00+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13次全體委員會議(事由:邀請國防部部長顧立雄報告「因應無人載具大量投入現今戰場,國軍如何構建無人載具部隊及訓練規劃、裝備籌獲等具體做法」,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 1.51596875
transcript.pyannote[0].end 3.28784375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 4.09784375
transcript.pyannote[1].end 5.26221875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 9.46409375
transcript.pyannote[2].end 13.44659375
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 13.73346875
transcript.pyannote[3].end 22.66034375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 23.01471875
transcript.pyannote[4].end 26.35596875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 26.89596875
transcript.pyannote[5].end 44.36159375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 44.93534375
transcript.pyannote[6].end 56.54534375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 56.88284375
transcript.pyannote[7].end 62.92409375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 63.71721875
transcript.pyannote[8].end 64.76346875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 65.11784375
transcript.pyannote[9].end 67.04159375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 67.12596875
transcript.pyannote[10].end 68.62784375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 69.16784375
transcript.pyannote[11].end 70.04534375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 70.45034375
transcript.pyannote[12].end 71.04096875
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 71.12534375
transcript.pyannote[13].end 72.49221875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 73.18409375
transcript.pyannote[14].end 75.90096875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 76.54221875
transcript.pyannote[15].end 80.22096875
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 80.57534375
transcript.pyannote[16].end 81.04784375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 82.04346875
transcript.pyannote[17].end 84.13596875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 84.81096875
transcript.pyannote[18].end 85.21596875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 85.51971875
transcript.pyannote[19].end 86.83596875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 88.30409375
transcript.pyannote[20].end 92.59034375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 96.31971875
transcript.pyannote[21].end 98.76659375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 99.62721875
transcript.pyannote[22].end 102.00659375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 102.42846875
transcript.pyannote[23].end 104.26784375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 104.74034375
transcript.pyannote[24].end 105.98909375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 106.78221875
transcript.pyannote[25].end 109.66784375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 110.95034375
transcript.pyannote[26].end 112.65471875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 113.02596875
transcript.pyannote[27].end 115.74284375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 116.09721875
transcript.pyannote[28].end 117.59909375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 118.20659375
transcript.pyannote[29].end 119.65784375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 120.04596875
transcript.pyannote[30].end 124.41659375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 124.93971875
transcript.pyannote[31].end 127.96034375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 127.99409375
transcript.pyannote[32].end 129.31034375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 129.66471875
transcript.pyannote[33].end 130.64346875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 131.20034375
transcript.pyannote[34].end 132.28034375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 132.44909375
transcript.pyannote[35].end 135.46971875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 135.87471875
transcript.pyannote[36].end 138.40596875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 138.86159375
transcript.pyannote[37].end 141.91596875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 142.84409375
transcript.pyannote[38].end 145.93221875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 146.45534375
transcript.pyannote[39].end 147.73784375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 148.10909375
transcript.pyannote[40].end 161.50784375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 162.03096875
transcript.pyannote[41].end 171.34596875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 171.80159375
transcript.pyannote[42].end 172.76346875
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 173.80971875
transcript.pyannote[43].end 174.97409375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 175.56471875
transcript.pyannote[44].end 176.12159375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 176.42534375
transcript.pyannote[45].end 176.99909375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 178.01159375
transcript.pyannote[46].end 178.85534375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 179.22659375
transcript.pyannote[47].end 180.69471875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 181.45409375
transcript.pyannote[48].end 183.00659375
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 183.83346875
transcript.pyannote[49].end 188.84534375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 189.53721875
transcript.pyannote[50].end 192.69284375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 193.33409375
transcript.pyannote[51].end 194.17784375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 194.75159375
transcript.pyannote[52].end 197.83971875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 198.66659375
transcript.pyannote[53].end 201.82221875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 202.41284375
transcript.pyannote[54].end 204.77534375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 205.01159375
transcript.pyannote[55].end 206.49659375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 207.17159375
transcript.pyannote[56].end 209.51721875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 209.97284375
transcript.pyannote[57].end 212.04846875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 212.43659375
transcript.pyannote[58].end 213.12846875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 213.51659375
transcript.pyannote[59].end 216.18284375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 216.67221875
transcript.pyannote[60].end 220.45221875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 223.38846875
transcript.pyannote[61].end 223.60784375
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 230.93159375
transcript.pyannote[62].end 237.88409375
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 238.37346875
transcript.pyannote[63].end 240.04409375
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 240.46596875
transcript.pyannote[64].end 242.00159375
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 242.37284375
transcript.pyannote[65].end 247.78971875
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 248.07659375
transcript.pyannote[66].end 258.42096875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 259.85534375
transcript.pyannote[67].end 264.86721875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 265.01909375
transcript.pyannote[68].end 265.47471875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 265.91346875
transcript.pyannote[69].end 270.26721875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 270.52034375
transcript.pyannote[70].end 271.46534375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 272.05596875
transcript.pyannote[71].end 277.75971875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 278.14784375
transcript.pyannote[72].end 286.50096875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 286.92284375
transcript.pyannote[73].end 289.55534375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 289.84221875
transcript.pyannote[74].end 291.02346875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 291.37784375
transcript.pyannote[75].end 297.85784375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 298.61721875
transcript.pyannote[76].end 300.32159375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 301.08096875
transcript.pyannote[77].end 306.59909375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 306.97034375
transcript.pyannote[78].end 307.91534375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 308.25284375
transcript.pyannote[79].end 308.72534375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 309.78846875
transcript.pyannote[80].end 310.36221875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 310.93596875
transcript.pyannote[81].end 311.50971875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 311.99909375
transcript.pyannote[82].end 313.63596875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 314.26034375
transcript.pyannote[83].end 327.01784375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 328.35096875
transcript.pyannote[84].end 328.70534375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 328.95846875
transcript.pyannote[85].end 343.25159375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 344.04471875
transcript.pyannote[86].end 349.27596875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 351.46971875
transcript.pyannote[87].end 352.19534375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 356.09346875
transcript.pyannote[88].end 356.22846875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 356.54909375
transcript.pyannote[89].end 361.44284375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 363.36659375
transcript.pyannote[90].end 365.23971875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 365.23971875
transcript.pyannote[91].end 365.27346875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 365.42534375
transcript.pyannote[92].end 376.12409375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 376.84971875
transcript.pyannote[93].end 383.16096875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 382.87409375
transcript.pyannote[94].end 389.96159375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 390.88971875
transcript.pyannote[95].end 391.71659375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 391.29471875
transcript.pyannote[96].end 392.29034375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 392.29034375
transcript.pyannote[97].end 393.75846875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 394.38284375
transcript.pyannote[98].end 396.34034375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 396.69471875
transcript.pyannote[99].end 400.30596875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 397.01534375
transcript.pyannote[100].end 397.03221875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 401.21721875
transcript.pyannote[101].end 406.56659375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 401.23409375
transcript.pyannote[102].end 401.60534375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 406.53284375
transcript.pyannote[103].end 407.73096875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 407.35971875
transcript.pyannote[104].end 407.86596875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 407.86596875
transcript.pyannote[105].end 410.53221875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 410.53221875
transcript.pyannote[106].end 411.61221875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 411.61221875
transcript.pyannote[107].end 411.62909375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 411.84846875
transcript.pyannote[108].end 415.52721875
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 416.18534375
transcript.pyannote[109].end 416.77596875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 417.33284375
transcript.pyannote[110].end 422.14221875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 422.47971875
transcript.pyannote[111].end 425.53409375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 425.61846875
transcript.pyannote[112].end 429.39846875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 425.65221875
transcript.pyannote[113].end 425.98971875
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 430.20846875
transcript.pyannote[114].end 430.68096875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 431.33909375
transcript.pyannote[115].end 433.92096875
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 434.79846875
transcript.pyannote[116].end 445.41284375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 444.31596875
transcript.pyannote[117].end 444.50159375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 445.96971875
transcript.pyannote[118].end 448.38284375
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 449.02409375
transcript.pyannote[119].end 449.49659375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 450.40784375
transcript.pyannote[120].end 453.78284375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 454.79534375
transcript.pyannote[121].end 456.33096875
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 456.55034375
transcript.pyannote[122].end 458.99721875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 456.56721875
transcript.pyannote[123].end 456.98909375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 459.41909375
transcript.pyannote[124].end 459.97596875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 459.67221875
transcript.pyannote[125].end 471.36659375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 471.80534375
transcript.pyannote[126].end 475.97346875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 476.49659375
transcript.pyannote[127].end 477.00284375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 477.20534375
transcript.pyannote[128].end 485.96346875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 486.11534375
transcript.pyannote[129].end 486.38534375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 487.21221875
transcript.pyannote[130].end 494.24909375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 494.90721875
transcript.pyannote[131].end 497.60721875
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 498.13034375
transcript.pyannote[132].end 508.77846875
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 508.96409375
transcript.pyannote[133].end 525.67034375
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 525.90659375
transcript.pyannote[134].end 534.24284375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 535.71096875
transcript.pyannote[135].end 550.93221875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 551.86034375
transcript.pyannote[136].end 552.48471875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 553.02471875
transcript.pyannote[137].end 558.27284375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 559.03221875
transcript.pyannote[138].end 560.21346875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 560.97284375
transcript.pyannote[139].end 584.02409375
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 586.45409375
transcript.pyannote[140].end 588.95159375
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 588.96846875
transcript.pyannote[141].end 588.98534375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 589.32284375
transcript.pyannote[142].end 596.19096875
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 596.95034375
transcript.pyannote[143].end 602.85659375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 602.95784375
transcript.pyannote[144].end 607.49721875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 607.93596875
transcript.pyannote[145].end 610.26471875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 610.75409375
transcript.pyannote[146].end 613.45409375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 613.92659375
transcript.pyannote[147].end 630.46409375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 630.88596875
transcript.pyannote[148].end 632.50596875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 633.38346875
transcript.pyannote[149].end 634.51409375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 635.30721875
transcript.pyannote[150].end 645.90471875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 646.46159375
transcript.pyannote[151].end 655.79346875
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 656.45159375
transcript.pyannote[152].end 660.36659375
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 660.58596875
transcript.pyannote[153].end 667.30221875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 667.85909375
transcript.pyannote[154].end 678.99659375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 679.51971875
transcript.pyannote[155].end 682.96221875
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 683.62034375
transcript.pyannote[156].end 684.53159375
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 684.78471875
transcript.pyannote[157].end 687.06284375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 687.56909375
transcript.pyannote[158].end 689.44221875
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 690.20159375
transcript.pyannote[159].end 699.16221875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 699.71909375
transcript.pyannote[160].end 703.78596875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 704.19096875
transcript.pyannote[161].end 716.02034375
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 718.21409375
transcript.pyannote[162].end 728.50784375
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 728.87909375
transcript.pyannote[163].end 729.72284375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 729.84096875
transcript.pyannote[164].end 735.54471875
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 735.79784375
transcript.pyannote[165].end 749.36534375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 741.70409375
transcript.pyannote[166].end 741.82221875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 741.97409375
transcript.pyannote[167].end 742.07534375
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 749.88846875
transcript.pyannote[168].end 757.34721875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 757.60034375
transcript.pyannote[169].end 762.67971875
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 763.59096875
transcript.pyannote[170].end 765.91971875
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 766.44284375
transcript.pyannote[171].end 773.07471875
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 773.58096875
transcript.pyannote[172].end 773.66534375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 773.66534375
transcript.pyannote[173].end 774.40784375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 774.40784375
transcript.pyannote[174].end 774.42471875
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 774.42471875
transcript.pyannote[175].end 819.43034375
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 820.57784375
transcript.pyannote[176].end 823.91909375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 824.91471875
transcript.pyannote[177].end 828.99846875
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 829.57221875
transcript.pyannote[178].end 830.17971875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 830.33159375
transcript.pyannote[179].end 831.61409375
transcript.whisperx[0].start 1.55
transcript.whisperx[0].end 5.053
transcript.whisperx[0].text 好 主席有請顧部長顧 請顧部長部長早安是 陳委員好剛剛聽完了報告我們持正面肯定來支持它的運用但是我們對任何國際情勢或國內情勢 兩岸情勢我們常常用講不對稱的一個方法
transcript.whisperx[1].start 27.012
transcript.whisperx[1].end 44.148
transcript.whisperx[1].text 其实我们对局势来看有主观的有客观的有宏观的有微观的有乐观的有悲观的有前瞻的有反思的所以在这个八个条件下单独讲不对称这是战术性的不对称
transcript.whisperx[2].start 45.009
transcript.whisperx[2].end 72.347
transcript.whisperx[2].text 战略性对方的实力他的钱财数量远超过我们因此在今天的报告里面有三项提到了就是说连战的运用那这个是通常是高阶的那这个会整合到国军整体的系统也就是未来的台湾之盾那个指管情资分享甚至到了这个战术层级也要纳入这个系统
transcript.whisperx[3].start 73.206
transcript.whisperx[3].end 92.771
transcript.whisperx[3].text 那我们现在谈到的是战斗层级战斗层级大概使用基本上就是地面部队为主了那这个部分我想请陆军参谋长还有直通电军的参谋长因为这里面有一些技术性的问题要救教各位各位看一下我们的UAV的
transcript.whisperx[4].start 99.69
transcript.whisperx[4].end 109.444
transcript.whisperx[4].text 这个链路的基本原则是指管链路与硬体要符合不对称作战这个是假设我在战场内
transcript.whisperx[5].start 110.984
transcript.whisperx[5].end 130.465
transcript.whisperx[5].text 海滩附近及城镇这个是优势在我这边这叫不对称如果离开台湾海岸多少里那种属于战术型或者是连战型的那个是指管架构是不同的那这里面呢我们考虑到你看涵盖的范围指管畅通讯息优势
transcript.whisperx[6].start 131.627
transcript.whisperx[6].end 141.56
transcript.whisperx[6].text 戰場的韌性我們有個核心的議題就是國防部依威脅提出軍用頻道需求這個要跟國家通訊傳播委員會NCC
transcript.whisperx[7].start 142.878
transcript.whisperx[7].end 161.241
transcript.whisperx[7].text 跟主管全国通讯频道跨部会协商满足国军的基本的任性需求不是买了装备大家训练操作但是在很多属于国内整体频道频宽这个东西的条件下要早一点
transcript.whisperx[8].start 162.122
transcript.whisperx[8].end 182.79
transcript.whisperx[8].text 跟NCC要他切割出来这个要拨给国军如果照成平时期他拨给你的非常有限各位看你下面的两个我们的前提是GPS没有被干扰第二个WiFi也没有被干扰那这种情况下语音通信频道的
transcript.whisperx[9].start 184.168
transcript.whisperx[9].end 197.562
transcript.whisperx[9].text 是8到12KB然后中等解析度10公分高等解析度10公分中高解析度10到30公分低阶的是这个1公尺那传输的速度不同
transcript.whisperx[10].start 198.755
transcript.whisperx[10].end 219.567
transcript.whisperx[10].text 前提是如果到了城鎮作戰wifi的這個固定轉播台都斷掉了這個時候要有中繼台那這個中繼台的需求車輛是在哪一個建軍的項目下通知電軍在這個地方有提供這個參考嗎
transcript.whisperx[11].start 231.433
transcript.whisperx[11].end 257.958
transcript.whisperx[11].text 鮑委員 詹克斯市長這邊向委員報告我們目前就戰術層級的部分我們在擴大微波通信車的構置那在這一次行政院的特別預算裡面我們也已經把衛星備援的這個部分加進來那後續在116到117的這個部分我們還會在全面檢討因應新式武器裝備它的傳輸需求所需要的通信裝備
transcript.whisperx[12].start 260.129
transcript.whisperx[12].end 277.107
transcript.whisperx[12].text 各位看右下角像我们的全球之音这个是军售的本来就有卫星的频道本来就有国军的专用频道所以它的解析度是高解析度而且它已经可以传输率到500Mbps
transcript.whisperx[13].start 278.248
transcript.whisperx[13].end 300.141
transcript.whisperx[13].text 这个跟我们国造的毫不关联现在我们比较关切的是陆军在地面用不管是宪兵的后备这个频道就像你刚刚讲的如果现有的成平时期你做训练都不成问题但是如果因为一旦两岸冲突发生部分的地面通讯站
transcript.whisperx[14].start 301.141
transcript.whisperx[14].end 326.805
transcript.whisperx[14].text 固定台都没有了所以中继台你刚刚讲的那个是非常重要因为那个东西的条件下我们有主观客观我们有宏观围观我们不要用乐观指数你要做我们讲就是最坏的scenario的情况下我这个时候的支撑度还到什么时候这个时候不只是操作训练最主要是通讯的训练
transcript.whisperx[15].start 329.551
transcript.whisperx[15].end 336.157
transcript.whisperx[15].text 現在看看我們的運用我們有連戰層級戰術層級連戰跟戰術層級國軍這是長期規劃而且數量控制通訊頻道都有做分割現在關心的就是戰鬥層級這個衛星剛剛您提到了衛星服務那個頻道請問是one web公司嗎是不是one web
transcript.whisperx[16].start 357.168
transcript.whisperx[16].end 375.002
transcript.whisperx[16].text 包委員好 我是通知市長包委員您剛講的是哪一個我講的就是Wi-Fi沒有了目前OneWeb是用在民用的部分並沒有用在軍用的部分那軍用的部分是ST2 就是這個週星二號
transcript.whisperx[17].start 376.889
transcript.whisperx[17].end 399.805
transcript.whisperx[17].text 但是你現在在這個預算編列裡面這是自通電軍的新式衛星租用服務新式衛星租用是特別預算裡面將來將來會新籌購一個高通量的衛星那是另外一型衛星並不是one wave我知道可是你一共兩年嘛52套加1000套嘛因為你並沒有地面站你只是地面接收點
transcript.whisperx[18].start 401.554
transcript.whisperx[18].end 414.112
transcript.whisperx[18].text 是有兩個地面機動的接收站其他的都是接收點沒有錯對 其他是接收點那因為你這個網管中心只有兩套嘛是 兩個網管中心對 但是你在暫時的時候你確認你這1052套夠用嗎
transcript.whisperx[19].start 417.586
transcript.whisperx[19].end 433.451
transcript.whisperx[19].text 目前我們是以最大量的需求來評估那將來會陸陸續續增加最大量的需求是指地面無人機在單位時間內使用的數量嗎
transcript.whisperx[20].start 434.847
transcript.whisperx[20].end 449.253
transcript.whisperx[20].text 你不是比方讲你这个四万八千多加五这个多少量你最大的起飞量在使用的过程中间你要有东西足够support它是因为你现在编的是46亿元这是
transcript.whisperx[21].start 450.495
transcript.whisperx[21].end 471.046
transcript.whisperx[21].text 装备设施现在建立租金可是两年后你要付钱陆军要编进预算就是成平时期不用卫星是正常时期那你就是中华电信远传你那个sim卡你要付钱的所以这个要早点规划你编的价值就乐观看
transcript.whisperx[22].start 471.886
transcript.whisperx[22].end 493.918
transcript.whisperx[22].text 几万价次但是你在单位时间内可能使用的是数十价几百价但这个可是你每一价你都要付钱你到时候再换卡是比较来不及的所以提请大家注意成租的费用跟建立量能的初步投资到后面正常使用运用的时候
transcript.whisperx[23].start 494.966
transcript.whisperx[23].end 515.106
transcript.whisperx[23].text 包括海军还有其他的优先他们讲的用的是C-band但是现在并不在我们国军分配给它的频段内那也是要用钱的所以在国防产业上我们支持无人机的国内制造但是大家都不告诉你用它的飞机现在买的是硬体到时候要花钱的
transcript.whisperx[24].start 515.606
transcript.whisperx[24].end 533.505
transcript.whisperx[24].text 所以你传回来的影像解析度在某种情况下只能用语音通讯那你暂时的时候你用AI先建置内存某个区用哪些飞机因为乌克兰跟我们的状况不一样乌克兰城镇之间30公里城市之间100公里
transcript.whisperx[25].start 535.728
transcript.whisperx[25].end 558.07
transcript.whisperx[25].text 通通除了公路以外就是丘陵地面看到的不是乌克兰的就是俄军的所以看了就打消耗型非常有效在台湾来讲目标识别尤其是高楼林地你无法从一个比方讲两百公尺高看到个东西就一头垂直下去所以在训练过程中的这个
transcript.whisperx[26].start 559.119
transcript.whisperx[26].end 583.898
transcript.whisperx[26].text 场景的模拟这个我们以前很早就也玩过这个东西了这各种的系统我们都用过像我也在国外用过OneWeb控制系统我只是提醒成平时期所有通讯可靠的时候到暂时你的限制因素发生了你要预估你哪些能力不能发挥而不是装备不好是不能发挥这个要提醒注意
transcript.whisperx[27].start 586.482
transcript.whisperx[27].end 613.136
transcript.whisperx[27].text 我们讲训练是过程 实用才是目的怎么样要把我们的准则教范 训场跟科目要融合这个才能满合实战的条件这个频率分配无人载具的活动空间含高度跟横距会不会产生单位跟单位之间的牵连或甚至说干扰到了因为分配的东西很有限如何在有限的资源下运用
transcript.whisperx[28].start 614.016
transcript.whisperx[28].end 634.358
transcript.whisperx[28].text 以满足无人载具在不对称作战的需求这个是准则叫犯对应你不能用你的无人机去对抗他的无人机他数量太大但是在岛上有限条件下我们应该有优势但这个优势建立在你要有很多机动中信台而且假设GPS失效
transcript.whisperx[29].start 635.316
transcript.whisperx[29].end 655.574
transcript.whisperx[29].text Wi-Fi没有那就是刚刚你讲的要靠其他的卫星频道来提供这个时候数量会大幅减少所以你在写想定的时候要纳入你的作战的计划里面准则教范还有授权到什么地方假设是联机以下的看到就打那你的操作手就要负责任了创错目标了长官不扛的
transcript.whisperx[30].start 656.522
transcript.whisperx[30].end 682.747
transcript.whisperx[30].text 如果是远程大型目标你可能连营长甚至旅长这种那这个远程的都是空军跟海军在用在海上那个长官来负责那现在就是无人机的干扰器属于独立系统会不会干扰到像特别强到金马祖外岛的运用有限运用下无人机不对称的作战需求那如何与防空识别整合为同步行
transcript.whisperx[31].start 683.666
transcript.whisperx[31].end 698.963
transcript.whisperx[31].text 因为我们前两天就提了台湾之盾这里面有个很重要的问题就是参数资料库要纳入AI它才帮你判这个跟卖你无人机的厂商并没有关系所以尤其是风群攻击
transcript.whisperx[32].start 699.804
transcript.whisperx[32].end 715.807
transcript.whisperx[32].text 敌方的风情里面一定有一个反辐射你再干扰他他就创你所以并不是全部是来对地面目标他有一个是反辐射的那这个时候我们如何反反制将来这个还有一段时间持续精进发展那中科院也会扮演一个最后的角色
transcript.whisperx[33].start 718.257
transcript.whisperx[33].end 734.037
transcript.whisperx[33].text 这个是今天早上的我还是强调一下今天早上进来的目标比较少红色圈圈是中共的商船蓝色是我们的商船那因为刚刚提到了这个无人机在外岛部署做监控也是一个很重要的
transcript.whisperx[34].start 734.838
transcript.whisperx[34].end 737.92
transcript.whisperx[34].text 这个整合进来才会成为啊这个未来的所谓的这个台湾呢
transcript.whisperx[35].start 763.646
transcript.whisperx[35].end 772.929
transcript.whisperx[35].text 台湾之盾但台湾之盾整合上是一个很重要的目标也有很大的挑战我希望我们要大家来努力请部长做一点指导跟回应
transcript.whisperx[36].start 773.892
transcript.whisperx[36].end 798.839
transcript.whisperx[36].text 我想台灣之盾的確的重點就是在於那個相關的整合所有的偵測器的整合然後到這個確定目標識別之後那或做一個適當的火力協調分配然後整合到所有的shoot整合所有的shoot然後來適時的來進行這個適當的一個回應我想這是整個我們現在的一個目標
transcript.whisperx[37].start 799.719
transcript.whisperx[37].end 828.838
transcript.whisperx[37].text 那現在就是說要如何將所有的sensor整合在一起然後再利用AI的輔助來做適當的一個活力協調分配然後再運用各式的suites來進行回擊我想這個是是一個是一個是一個是一個挑戰那我們會陸續來努力來完成這樣子好謝謝部長這個大家都在努力但是挑戰也是非常艱鉅的要大家一起來克服
transcript.whisperx[38].start 829.738
transcript.whisperx[38].end 829.758
transcript.whisperx[38].text 謝謝好 謝謝謝偉