iVOD / 170368

Field Value
IVOD_ID 170368
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/170368
日期 2026-07-08
會議資料.會議代碼 委員會-11-5-35-26
會議資料.會議代碼:str 第11屆第5會期外交及國防委員會第26次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 26
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5會期外交及國防委員會第26次全體委員會議
影片種類 Clip
開始時間 2026-07-08T11:59:40+08:00
結束時間 2026-07-08T12:10:04+08:00
影片長度 00:10:24
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4fafa81be08c82103b6b7574cc58ed7f701c2adc7b5d6a2b77dd9ed03a6d74a7c86df9d5e1265cba5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 賴士葆
委員發言時間 11:59:40 - 12:10:04
會議時間 2026-07-08T09:00:00+08:00
會議名稱 立法院第11屆第5會期外交及國防委員會第26次全體委員會議(事由:邀請國防部部長顧立雄報告「少子化衝擊下國軍人力資源政策與未來因應規劃」,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.09846875
transcript.pyannote[0].end 2.03909375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 2.46096875
transcript.pyannote[1].end 3.79409375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 4.03034375
transcript.pyannote[2].end 4.06409375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 4.06409375
transcript.pyannote[3].end 4.84034375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 4.84034375
transcript.pyannote[4].end 4.85721875
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 12.63659375
transcript.pyannote[5].end 13.44659375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 13.88534375
transcript.pyannote[6].end 22.32284375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 22.72784375
transcript.pyannote[7].end 24.58409375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 24.90471875
transcript.pyannote[8].end 27.80721875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 27.90846875
transcript.pyannote[9].end 29.08971875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 29.44409375
transcript.pyannote[10].end 30.67596875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 30.89534375
transcript.pyannote[11].end 37.29096875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 37.93221875
transcript.pyannote[12].end 42.20159375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 42.62346875
transcript.pyannote[13].end 43.87221875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 44.81721875
transcript.pyannote[14].end 46.60596875
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 46.94346875
transcript.pyannote[15].end 47.51721875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 48.05721875
transcript.pyannote[16].end 48.96846875
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 48.96846875
transcript.pyannote[17].end 52.56284375
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 52.73159375
transcript.pyannote[18].end 53.91284375
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 54.06471875
transcript.pyannote[19].end 56.19096875
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 56.76471875
transcript.pyannote[20].end 58.55346875
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 58.62096875
transcript.pyannote[21].end 59.51534375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 59.68409375
transcript.pyannote[22].end 62.40096875
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 61.99596875
transcript.pyannote[23].end 62.01284375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 62.01284375
transcript.pyannote[24].end 64.34159375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 65.15159375
transcript.pyannote[25].end 66.33284375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 66.50159375
transcript.pyannote[26].end 68.23971875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 66.56909375
transcript.pyannote[27].end 67.44659375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 68.23971875
transcript.pyannote[28].end 69.11721875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 69.62346875
transcript.pyannote[29].end 72.12096875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 72.42471875
transcript.pyannote[30].end 74.51721875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 74.61846875
transcript.pyannote[31].end 76.84596875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 77.53784375
transcript.pyannote[32].end 78.90471875
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 79.07346875
transcript.pyannote[33].end 85.13159375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 82.83659375
transcript.pyannote[34].end 82.87034375
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 82.87034375
transcript.pyannote[35].end 85.72221875
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 86.38034375
transcript.pyannote[36].end 87.02159375
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 87.10596875
transcript.pyannote[37].end 100.06596875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 98.41221875
transcript.pyannote[38].end 100.90971875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 101.53409375
transcript.pyannote[39].end 103.05284375
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 101.56784375
transcript.pyannote[40].end 102.25971875
transcript.pyannote[41].speaker SPEAKER_03
transcript.pyannote[41].start 102.78284375
transcript.pyannote[41].end 103.67721875
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 104.03159375
transcript.pyannote[42].end 114.49409375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 114.49409375
transcript.pyannote[43].end 123.52221875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 123.97784375
transcript.pyannote[44].end 137.22471875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 138.60846875
transcript.pyannote[45].end 142.77659375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 142.99596875
transcript.pyannote[46].end 144.22784375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 145.12221875
transcript.pyannote[47].end 146.01659375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 146.59034375
transcript.pyannote[48].end 150.18471875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 150.48846875
transcript.pyannote[49].end 153.23909375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 153.44159375
transcript.pyannote[50].end 154.48784375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 154.77471875
transcript.pyannote[51].end 156.14159375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 156.86721875
transcript.pyannote[52].end 157.67721875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 158.30159375
transcript.pyannote[53].end 158.97659375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 159.26346875
transcript.pyannote[54].end 159.73596875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 159.92159375
transcript.pyannote[55].end 160.68096875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 161.23784375
transcript.pyannote[56].end 162.52034375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 162.87471875
transcript.pyannote[57].end 164.84909375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 165.69284375
transcript.pyannote[58].end 167.38034375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 167.76846875
transcript.pyannote[59].end 168.40971875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 168.74721875
transcript.pyannote[60].end 173.03346875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 173.60721875
transcript.pyannote[61].end 175.54784375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 176.45909375
transcript.pyannote[62].end 177.33659375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 178.34909375
transcript.pyannote[63].end 179.02409375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 179.98596875
transcript.pyannote[64].end 213.14534375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 199.03784375
transcript.pyannote[65].end 200.13471875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 213.83721875
transcript.pyannote[66].end 214.02284375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 214.02284375
transcript.pyannote[67].end 216.35159375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 217.06034375
transcript.pyannote[68].end 219.16971875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 219.97971875
transcript.pyannote[69].end 222.51096875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 223.37159375
transcript.pyannote[70].end 229.49721875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 229.96971875
transcript.pyannote[71].end 233.29409375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 234.13784375
transcript.pyannote[72].end 236.34846875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 236.97284375
transcript.pyannote[73].end 237.37784375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 238.03596875
transcript.pyannote[74].end 240.80346875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 240.92159375
transcript.pyannote[75].end 241.44471875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 241.76534375
transcript.pyannote[76].end 242.62596875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 242.92971875
transcript.pyannote[77].end 244.19534375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 244.26284375
transcript.pyannote[78].end 245.95034375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 246.99659375
transcript.pyannote[79].end 279.49784375
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 279.49784375
transcript.pyannote[80].end 279.78471875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 280.29096875
transcript.pyannote[81].end 280.93221875
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 281.06721875
transcript.pyannote[82].end 290.41596875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 291.07409375
transcript.pyannote[83].end 292.59284375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 292.96409375
transcript.pyannote[84].end 294.12846875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 294.80346875
transcript.pyannote[85].end 296.64284375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 297.09846875
transcript.pyannote[86].end 298.93784375
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 299.30909375
transcript.pyannote[87].end 302.07659375
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 302.90346875
transcript.pyannote[88].end 303.66284375
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 304.43909375
transcript.pyannote[89].end 306.43034375
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 306.59909375
transcript.pyannote[90].end 307.76346875
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 307.84784375
transcript.pyannote[91].end 308.08409375
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 308.97846875
transcript.pyannote[92].end 310.64909375
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 311.08784375
transcript.pyannote[93].end 318.64784375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 318.05721875
transcript.pyannote[94].end 330.81471875
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 318.91784375
transcript.pyannote[95].end 319.23846875
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 331.82721875
transcript.pyannote[96].end 337.49721875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 333.95346875
transcript.pyannote[97].end 336.53534375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 336.95721875
transcript.pyannote[98].end 338.03721875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 338.47596875
transcript.pyannote[99].end 345.37784375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 347.33534375
transcript.pyannote[100].end 348.33096875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 351.77346875
transcript.pyannote[101].end 358.67534375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 359.29971875
transcript.pyannote[102].end 360.91971875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 360.97034375
transcript.pyannote[103].end 362.45534375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 362.74221875
transcript.pyannote[104].end 364.69971875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 364.96971875
transcript.pyannote[105].end 365.94846875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 366.99471875
transcript.pyannote[106].end 367.55159375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 368.34471875
transcript.pyannote[107].end 368.88471875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 369.59346875
transcript.pyannote[108].end 370.20096875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 370.84221875
transcript.pyannote[109].end 371.93909375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 372.91784375
transcript.pyannote[110].end 374.80784375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 375.65159375
transcript.pyannote[111].end 375.92159375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 377.01846875
transcript.pyannote[112].end 379.48221875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 379.48221875
transcript.pyannote[113].end 382.08096875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 382.72221875
transcript.pyannote[114].end 383.31284375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 383.31284375
transcript.pyannote[115].end 385.55721875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 385.55721875
transcript.pyannote[116].end 387.21096875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 386.33346875
transcript.pyannote[117].end 387.07596875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 387.34596875
transcript.pyannote[118].end 389.50596875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 389.70846875
transcript.pyannote[119].end 390.83909375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 391.31159375
transcript.pyannote[120].end 391.61534375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 392.71221875
transcript.pyannote[121].end 405.73971875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 406.12784375
transcript.pyannote[122].end 408.82784375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 409.95846875
transcript.pyannote[123].end 415.56096875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 415.94909375
transcript.pyannote[124].end 416.86034375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 417.50159375
transcript.pyannote[125].end 420.65721875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 420.87659375
transcript.pyannote[126].end 421.92284375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 422.20971875
transcript.pyannote[127].end 425.87159375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 425.53409375
transcript.pyannote[128].end 426.54659375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 425.93909375
transcript.pyannote[129].end 425.95596875
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 426.54659375
transcript.pyannote[130].end 426.58034375
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 427.55909375
transcript.pyannote[131].end 432.38534375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 430.86659375
transcript.pyannote[132].end 431.47409375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 433.04346875
transcript.pyannote[133].end 434.19096875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 434.74784375
transcript.pyannote[134].end 437.98784375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 438.37596875
transcript.pyannote[135].end 440.01284375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 440.28284375
transcript.pyannote[136].end 442.03784375
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 442.42596875
transcript.pyannote[137].end 443.32034375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 443.32034375
transcript.pyannote[138].end 443.64096875
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 443.64096875
transcript.pyannote[139].end 444.11346875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 444.38346875
transcript.pyannote[140].end 445.90221875
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 446.15534375
transcript.pyannote[141].end 448.04534375
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 448.50096875
transcript.pyannote[142].end 449.58096875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 449.02409375
transcript.pyannote[143].end 449.15909375
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 450.52596875
transcript.pyannote[144].end 453.61409375
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 453.71534375
transcript.pyannote[145].end 457.02284375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 457.56284375
transcript.pyannote[146].end 459.28409375
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 459.38534375
transcript.pyannote[147].end 460.36409375
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 460.53284375
transcript.pyannote[148].end 461.76471875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 462.45659375
transcript.pyannote[149].end 463.65471875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 463.94159375
transcript.pyannote[150].end 467.18159375
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 465.54471875
transcript.pyannote[151].end 481.27221875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 481.40721875
transcript.pyannote[152].end 483.55034375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 483.88784375
transcript.pyannote[153].end 491.51534375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 491.95409375
transcript.pyannote[154].end 493.30409375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 494.09721875
transcript.pyannote[155].end 495.83534375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 496.79721875
transcript.pyannote[156].end 497.97846875
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 497.97846875
transcript.pyannote[157].end 499.54784375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 499.37909375
transcript.pyannote[158].end 501.21846875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 501.74159375
transcript.pyannote[159].end 501.97784375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 502.46721875
transcript.pyannote[160].end 504.17159375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 504.39096875
transcript.pyannote[161].end 506.24721875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 506.51721875
transcript.pyannote[162].end 509.16659375
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 509.67284375
transcript.pyannote[163].end 510.38159375
transcript.pyannote[164].speaker SPEAKER_03
transcript.pyannote[164].start 511.54596875
transcript.pyannote[164].end 512.06909375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 512.25471875
transcript.pyannote[165].end 512.57534375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 513.03096875
transcript.pyannote[166].end 513.18284375
transcript.pyannote[167].speaker SPEAKER_03
transcript.pyannote[167].start 513.18284375
transcript.pyannote[167].end 514.38096875
transcript.pyannote[168].speaker SPEAKER_03
transcript.pyannote[168].start 514.93784375
transcript.pyannote[168].end 535.28909375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 535.28909375
transcript.pyannote[169].end 546.08909375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 546.64596875
transcript.pyannote[170].end 547.81034375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 548.14784375
transcript.pyannote[171].end 550.30784375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 551.53971875
transcript.pyannote[172].end 553.17659375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 553.51409375
transcript.pyannote[173].end 557.41221875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 557.90159375
transcript.pyannote[174].end 562.08659375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 562.49159375
transcript.pyannote[175].end 568.51596875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 568.70159375
transcript.pyannote[176].end 569.59596875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 569.61284375
transcript.pyannote[177].end 571.45221875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 571.78971875
transcript.pyannote[178].end 574.10159375
transcript.pyannote[179].speaker SPEAKER_03
transcript.pyannote[179].start 574.10159375
transcript.pyannote[179].end 596.71409375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 574.62471875
transcript.pyannote[180].end 575.70471875
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 576.59909375
transcript.pyannote[181].end 576.80159375
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 592.07346875
transcript.pyannote[182].end 593.35596875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 595.51596875
transcript.pyannote[183].end 601.64159375
transcript.pyannote[184].speaker SPEAKER_03
transcript.pyannote[184].start 598.84034375
transcript.pyannote[184].end 603.76784375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 604.27409375
transcript.pyannote[185].end 613.60596875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 613.77471875
transcript.pyannote[186].end 614.46659375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 614.88846875
transcript.pyannote[187].end 615.71534375
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 616.08659375
transcript.pyannote[188].end 617.41971875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 617.72346875
transcript.pyannote[189].end 619.69784375
transcript.pyannote[190].speaker SPEAKER_03
transcript.pyannote[190].start 622.07721875
transcript.pyannote[190].end 622.83659375
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 623.56221875
transcript.pyannote[191].end 624.11909375
transcript.whisperx[0].start 0.45
transcript.whisperx[0].end 3.537
transcript.whisperx[0].text 謝謝主席以及各位先進有請國安部的顧部長請顧部長
transcript.whisperx[1].start 12.802
transcript.whisperx[1].end 27.493
transcript.whisperx[1].text 市委部長你好 我就幾個簡單的問題啦我看省基部對於無人機產業的這個特別是軍用無人機啊他有一些的comment啦比如說其中 我把類似幾個比較重要他就講你們啦 就打槍你們啦說你們有這個無人機產業園區開發的進度嚴重落後
transcript.whisperx[2].start 37.981
transcript.whisperx[2].end 64.11
transcript.whisperx[2].text 他寫的時間,我給他算一算,時間最少入侯一年以上這事你怎麼回應一下?省基部的報告無人機產業區無人機產業園區講的是民雄嗎?對,對,講的是民雄那這個中科院來的不是講民雄講民雄,講民雄如果是民雄的話,他一切進度都正常他有一部分在民雄,有一部分在太保不是嗎?
transcript.whisperx[3].start 65.185
transcript.whisperx[3].end 71.571
transcript.whisperx[3].text 太保不是我們國防部在管的不是國防部這裡面你們去看一下另外一個非市場場域沒有確定這不是你們所以你們一切進度都可以
transcript.whisperx[4].start 79.178
transcript.whisperx[4].end 100.076
transcript.whisperx[4].text 不然我們那個場域本來就是我們的地 那個場域都已經決定好了 都沒有問題所以他講的是經濟部 他講的是經濟部 是啊對 因為分形場域的這個部分我的了解是 我們的部分是這個一件事那有關那個 有關設計各部會的這個部分 應該是行政院在所以你講的 你說他講的是經濟部 是啊
transcript.whisperx[5].start 101.677
transcript.whisperx[5].end 120.589
transcript.whisperx[5].text 是這個意思嗎因為可能因為飛行的這個測試的場域然後還有這個海面的測試場域這些跨部會的這個協調的工作這個部分是由行政院在主導好 那麼你說園區都Ready齁你能不能講一下這個什麼是Ready是讓廠商能夠進駐還是怎麼樣 你講一下
transcript.whisperx[6].start 124.079
transcript.whisperx[6].end 144.08
transcript.whisperx[6].text 所以原區的Lady是一切按照計畫進度按照原本的計畫進度是118年才開始營運所以今年我們做的是發包施工我們已經按正常進度在五月發包施工那等整個預算通過以後我們就會跟廠商簽約執行預算是多少的預算
transcript.whisperx[7].start 145.168
transcript.whisperx[7].end 164.751
transcript.whisperx[7].text 今年只有 全部的預算是68億 今年的預算只有8億囉好 另外齁 另外我請教部長 因為今天你談到人才的問題啊那我就特別PIN POINT 特別鎖定在 或者FOCUS在 這個無人機相關的人才
transcript.whisperx[8].start 165.785
transcript.whisperx[8].end 178.888
transcript.whisperx[8].text 無人機的相關人才大概你自己有沒有算過國防部哪一位長官可以回答都可以大概缺多少人需要多少人無人機方面相關人才
transcript.whisperx[9].start 180.029
transcript.whisperx[9].end 196.365
transcript.whisperx[9].text 包含無人機的部分我們區分成兩大部分一個是大型無人機的部分,我們空軍MQ-9V無人機它已經進行接裝之前的完整編組那另外一個是海軍的瑞淵一型,就是海上徵收大隊的這個部分
transcript.whisperx[10].start 197.326
transcript.whisperx[10].end 221.766
transcript.whisperx[10].text 然後小型無人機的部分陸軍跟海軍陸戰隊還有憲兵一共編了20個新的單位那這20個新的無人機的單位我們也優先滿足它的編線比跟它的人力需求那我給你念一段給你聽這是我從一些資料找到的2024年公開的資訊
transcript.whisperx[11].start 224.838
transcript.whisperx[11].end 245.806
transcript.whisperx[11].text 我們國軍規劃買三千多架的軍用商規無人機三軍非操守需要兩百一十人二零二五年審計部的報告說他講一百一十四一百一十五年度總共你們欠了一千多人有沒有這個意思
transcript.whisperx[12].start 247.045
transcript.whisperx[12].end 276.865
transcript.whisperx[12].text 包委員那個是舊的因為省紀部他查的是在前一個年度他的人力的狀況那商規軍用無人機他當初接裝的時候陸軍的無人機訓練指揮部還沒有成立也就我們訓練的那個單位還沒有成立然後陸戰隊的兩個一個火力營一個無人機營也還沒成軍陸軍現在都成軍了嗎對那現在我們從去年到今年已經陸續成軍所以如果省紀部明年再來集合我們今年基本上我們的人力是到齊的
transcript.whisperx[13].start 277.525
transcript.whisperx[13].end 303.531
transcript.whisperx[13].text 所以人沒有缺一千人的問題沒有完全沒有是不是現在那個陸軍剛剛提到二十個單位那現在新編的都是屬於新編無人機部隊平線邊線比是百分之九十二請問你喔那對於無人機的軍用無人機的相關人才待遇有沒有特別給他增加一下無人機我們就是爭取戰鬥部隊的佳績那是加多少
transcript.whisperx[14].start 305.025
transcript.whisperx[14].end 329.023
transcript.whisperx[14].text 戰鬥部隊一萬二就特種加級就對了我們有戰鬥部隊加級有分成一類二類嘛那現在是有一萬二跟七千那如果他你再怎麼加就加一萬多你還不如用我們的案子我們三讀通過了加三萬的不是更好嗎人來的更多啊這個人越來越需要啊是不是這樣
transcript.whisperx[15].start 331.977
transcript.whisperx[15].end 345.345
transcript.whisperx[15].text 我想我們還是依照任務的程度另外一個或是中間可以回答或是看誰可以回答我們有沒有能力做機械狗有沒有機械狗機械狗我們現在跟美國的公司合作正在推展中預計在後年國軍會開始量產採購
transcript.whisperx[16].start 359.329
transcript.whisperx[16].end 381.215
transcript.whisperx[16].text 後年開始 不不不 你說量產跟採購是我們自己做還是要跟美國買啊我們自己做可以 現在沒有現在有了有下去買的嘛 是吧現在是共同在台灣做經過技術授權共同在台灣生產那什麼時候可以第一個出來
transcript.whisperx[17].start 382.768
transcript.whisperx[17].end 408.588
transcript.whisperx[17].text 什麼時候出來的?已經有公開記者會展示過了所以說已經有了?是,我會提供給委員相關的訊息好,量產什麼時候?量產要先看作戰單位它給我們的需求同樣一隻機器狗它可以做很多不同的功能所以要看作戰單位的需求定義清楚以後我們才會開始按照它不同的需求來量產不同的類型所以未來就是他們來打仗,是不是這個意思?
transcript.whisperx[18].start 410.062
transcript.whisperx[18].end 429.439
transcript.whisperx[18].text 不一定是打仗 其實平常有很多任務就可以由機器國來執行包含營區的巡檢和安全維護有沒有算過大概我們的需要量多少了 機器官需要幾台還是什麼的這可能要由作戰單位他們再來統計相關的需求部長你要回答還是來剛剛回答一樣 我們是必須要統計這個相關的任務
transcript.whisperx[19].start 435.03
transcript.whisperx[19].end 461.338
transcript.whisperx[19].text 這個機械狗這一部分有沒有納入你們原來的特別預算無人機都有沒有納進來有沒有沒有那無人艇呢 有沒有納進來無人艇有啊無人艇這一次愛情委員支持我們這兩千一百億裡面就一千多艘的自殺攻擊無人艇自殺式的攻擊無人艇是是是 一千多艘
transcript.whisperx[20].start 462.523
transcript.whisperx[20].end 481.073
transcript.whisperx[20].text 那部分以後可以自己做不是嗎?我們就是要自己做啊我們現在2100億的 見證型的無人機 攻擊型的無人機跟自殺無人艇 攻擊型的自殺無人艇都是希望在國內能夠自主
transcript.whisperx[21].start 481.873
transcript.whisperx[21].end 509.153
transcript.whisperx[21].text 我要提一個很重要的觀念啦你們現在列的就是兩千一百億啊國民黨團是兩千四百億啊不管多少但是你們目標是要買二十一萬架的無人機嘛對不對二十一萬架嘛就無人機的部分對無人機是二十一萬架嘛那有一個專家告訴我你們現在買的二十一萬架HIGH END只有兩千架左右這句話對不對
transcript.whisperx[22].start 513.117
transcript.whisperx[22].end 534.705
transcript.whisperx[22].text 高階的無人機我想我們無人機大概有分幾型你講的攻擊無人機有沉浸式的有投彈式的還有一個小型跟中型的自殺無人艇它各有任務的不同那我想他們都會隨著這個無人載具的一個迭代更新的發展會逐步增強它的各項的能力
transcript.whisperx[23].start 535.726
transcript.whisperx[23].end 549.922
transcript.whisperx[23].text 我跟你講到這個事我得到的資料是海岸的只有2000架左右所以我要強調的是如何無人機的技術升級非常重要比如說我們可以有一個辦法
transcript.whisperx[24].start 551.604
transcript.whisperx[24].end 571.132
transcript.whisperx[24].text 我本人就提了這個辦法無人機產業技術升級發展條例給它足夠的誘因 給它其他的誘因我們要鼓勵國外的高端的廠商能夠在台灣投資跟我們共同研發把技術留下來等等的我覺得這個事實很值得我們去
transcript.whisperx[25].start 572.112
transcript.whisperx[25].end 591.148
transcript.whisperx[25].text 值得我們去努力的啦同意吧指導我想是這樣的我剛剛已經回答中委員我們當然我們國安部的這個立場還是說我們在採購的部分有國安部主責的部分還是單純限定在我們無人機的這個組合我們作戰區所無人機採購產業發展產業的補助那是要另外一個條例由經濟部來組合所以你不能排除經濟部主導啦
transcript.whisperx[26].start 599.275
transcript.whisperx[26].end 599.295
transcript.whisperx[26].text 好 謝謝