iVOD / 164684

Field Value
IVOD_ID 164684
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164684
日期 2025-10-23
會議資料.會議代碼 委員會-11-4-35-8
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8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 8
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8次全體委員會議
影片種類 Clip
開始時間 2025-10-23T11:50:29+08:00
結束時間 2025-10-23T11:59:03+08:00
影片長度 00:08:34
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/1f1f5c91750503d3522f75107ad6764f8c2d94e6d34c5cc9226cb2fc332523273eca6ea80bfd1def5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 賴士葆
委員發言時間 11:50:29 - 11:59:03
會議時間 2025-10-23T09:00:00+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8次全體委員會議(事由:邀請國防部部長顧立雄報告業務概況,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.40221875
transcript.pyannote[0].end 2.86596875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 3.22034375
transcript.pyannote[1].end 5.04284375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 5.54909375
transcript.pyannote[2].end 6.25784375
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 12.26534375
transcript.pyannote[3].end 12.83909375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 13.56471875
transcript.pyannote[4].end 14.66159375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 15.25221875
transcript.pyannote[5].end 20.51721875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 21.32721875
transcript.pyannote[6].end 22.98096875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 23.63909375
transcript.pyannote[7].end 24.33096875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 24.71909375
transcript.pyannote[8].end 26.01846875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 26.60909375
transcript.pyannote[9].end 27.62159375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 27.94221875
transcript.pyannote[10].end 29.71409375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 30.06846875
transcript.pyannote[11].end 30.65909375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 31.62096875
transcript.pyannote[12].end 33.08909375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 33.49409375
transcript.pyannote[13].end 39.01221875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 39.48471875
transcript.pyannote[14].end 49.94721875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 50.84159375
transcript.pyannote[15].end 51.21284375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 51.58409375
transcript.pyannote[16].end 53.71034375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 54.23346875
transcript.pyannote[17].end 60.52784375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 60.57846875
transcript.pyannote[18].end 63.16034375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 63.75096875
transcript.pyannote[19].end 64.08846875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 64.27409375
transcript.pyannote[20].end 73.69034375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 74.02784375
transcript.pyannote[21].end 82.98846875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 83.68034375
transcript.pyannote[22].end 90.76784375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 91.45971875
transcript.pyannote[23].end 94.21034375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 94.26096875
transcript.pyannote[24].end 94.27784375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 94.27784375
transcript.pyannote[25].end 96.38721875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 96.94409375
transcript.pyannote[26].end 97.85534375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 98.14221875
transcript.pyannote[27].end 104.11596875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 105.61784375
transcript.pyannote[28].end 106.42784375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 106.25909375
transcript.pyannote[29].end 106.41096875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 106.42784375
transcript.pyannote[30].end 112.84034375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 113.73471875
transcript.pyannote[31].end 122.23971875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 113.78534375
transcript.pyannote[32].end 114.19034375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 122.23971875
transcript.pyannote[33].end 122.44221875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 122.44221875
transcript.pyannote[34].end 122.67846875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 122.67846875
transcript.pyannote[35].end 124.87221875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 125.14221875
transcript.pyannote[36].end 125.74971875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 126.27284375
transcript.pyannote[37].end 126.59346875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 127.75784375
transcript.pyannote[38].end 136.81971875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 137.56221875
transcript.pyannote[39].end 137.93346875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 138.28784375
transcript.pyannote[40].end 145.96596875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 139.09784375
transcript.pyannote[41].end 141.19034375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 145.89846875
transcript.pyannote[42].end 149.42534375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 150.57284375
transcript.pyannote[43].end 151.33221875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 151.33221875
transcript.pyannote[44].end 157.77846875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 151.38284375
transcript.pyannote[45].end 151.46721875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 158.23409375
transcript.pyannote[46].end 162.60471875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 163.34721875
transcript.pyannote[47].end 166.31721875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 165.23721875
transcript.pyannote[48].end 165.92909375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 166.51971875
transcript.pyannote[49].end 170.73846875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 170.80596875
transcript.pyannote[50].end 171.91971875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 171.07596875
transcript.pyannote[51].end 172.49346875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 172.49346875
transcript.pyannote[52].end 176.83034375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 174.55221875
transcript.pyannote[53].end 176.02034375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 177.13409375
transcript.pyannote[54].end 181.01534375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 179.59784375
transcript.pyannote[55].end 180.18846875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 181.25159375
transcript.pyannote[56].end 186.21284375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 181.69034375
transcript.pyannote[57].end 183.14159375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 184.42409375
transcript.pyannote[58].end 184.87971875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 185.67284375
transcript.pyannote[59].end 188.00159375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 188.17034375
transcript.pyannote[60].end 191.49471875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 191.46096875
transcript.pyannote[61].end 193.67159375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 193.50284375
transcript.pyannote[62].end 193.58721875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 194.46471875
transcript.pyannote[63].end 200.40471875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 199.35846875
transcript.pyannote[64].end 200.65784375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 200.47221875
transcript.pyannote[65].end 202.81784375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 201.06284375
transcript.pyannote[66].end 202.27784375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 202.59846875
transcript.pyannote[67].end 209.38221875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 210.19221875
transcript.pyannote[68].end 212.26784375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 212.52096875
transcript.pyannote[69].end 217.41471875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 217.16159375
transcript.pyannote[70].end 224.78909375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 219.45659375
transcript.pyannote[71].end 220.30034375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 225.26159375
transcript.pyannote[72].end 225.44721875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 225.80159375
transcript.pyannote[73].end 237.12471875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 237.46221875
transcript.pyannote[74].end 239.65596875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 239.03159375
transcript.pyannote[75].end 246.06846875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 246.40596875
transcript.pyannote[76].end 254.03346875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 254.67471875
transcript.pyannote[77].end 258.10034375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 258.94409375
transcript.pyannote[78].end 260.76659375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 261.34034375
transcript.pyannote[79].end 264.31034375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 264.95159375
transcript.pyannote[80].end 270.87471875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 271.26284375
transcript.pyannote[81].end 273.01784375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 273.45659375
transcript.pyannote[82].end 276.40971875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 276.44346875
transcript.pyannote[83].end 277.60784375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 277.91159375
transcript.pyannote[84].end 279.22784375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 279.58221875
transcript.pyannote[85].end 284.08784375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 284.27346875
transcript.pyannote[86].end 285.92721875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 287.44596875
transcript.pyannote[87].end 287.90159375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 288.57659375
transcript.pyannote[88].end 290.98971875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 291.51284375
transcript.pyannote[89].end 297.03096875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 297.16596875
transcript.pyannote[90].end 299.69721875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 300.15284375
transcript.pyannote[91].end 300.96284375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 301.14846875
transcript.pyannote[92].end 301.99221875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 302.34659375
transcript.pyannote[93].end 302.92034375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 303.22409375
transcript.pyannote[94].end 316.77471875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 316.43721875
transcript.pyannote[95].end 321.60096875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 317.02784375
transcript.pyannote[96].end 317.73659375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 320.09909375
transcript.pyannote[97].end 320.72346875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 321.61784375
transcript.pyannote[98].end 322.52909375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 322.84971875
transcript.pyannote[99].end 323.57534375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 323.60909375
transcript.pyannote[100].end 324.82409375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 325.27971875
transcript.pyannote[101].end 326.54534375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 327.30471875
transcript.pyannote[102].end 327.76034375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 327.91221875
transcript.pyannote[103].end 328.87409375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 329.97096875
transcript.pyannote[104].end 334.52721875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 336.02909375
transcript.pyannote[105].end 337.39596875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 338.20596875
transcript.pyannote[106].end 339.18471875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 339.91034375
transcript.pyannote[107].end 341.56409375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 342.22221875
transcript.pyannote[108].end 342.74534375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 343.03221875
transcript.pyannote[109].end 343.72409375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 344.11221875
transcript.pyannote[110].end 345.88409375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 347.14971875
transcript.pyannote[111].end 349.78221875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 350.96346875
transcript.pyannote[112].end 351.70596875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 352.48221875
transcript.pyannote[113].end 353.68034375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 354.06846875
transcript.pyannote[114].end 356.31284375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 358.28721875
transcript.pyannote[115].end 361.00409375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 361.71284375
transcript.pyannote[116].end 363.70409375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 364.31159375
transcript.pyannote[117].end 364.64909375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 364.85159375
transcript.pyannote[118].end 367.36596875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 368.09159375
transcript.pyannote[119].end 377.59221875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 378.18284375
transcript.pyannote[120].end 380.86596875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 381.01784375
transcript.pyannote[121].end 394.46721875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 393.70784375
transcript.pyannote[122].end 394.34909375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 394.46721875
transcript.pyannote[123].end 394.78784375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 394.78784375
transcript.pyannote[124].end 397.79159375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 397.79159375
transcript.pyannote[125].end 398.38221875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 398.38221875
transcript.pyannote[126].end 401.68971875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 400.28909375
transcript.pyannote[127].end 400.87971875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 402.11159375
transcript.pyannote[128].end 405.18284375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 405.90846875
transcript.pyannote[129].end 408.03471875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 406.83659375
transcript.pyannote[130].end 407.00534375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 407.17409375
transcript.pyannote[131].end 407.22471875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 407.24159375
transcript.pyannote[132].end 407.34284375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 408.03471875
transcript.pyannote[133].end 408.38909375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 408.38909375
transcript.pyannote[134].end 408.45659375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 408.82784375
transcript.pyannote[135].end 410.21159375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 411.25784375
transcript.pyannote[136].end 413.92409375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 414.02534375
transcript.pyannote[137].end 415.86471875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 416.59034375
transcript.pyannote[138].end 419.27346875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 419.67846875
transcript.pyannote[139].end 422.27721875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 423.01971875
transcript.pyannote[140].end 438.74721875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 439.84409375
transcript.pyannote[141].end 440.53596875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 440.89034375
transcript.pyannote[142].end 443.70846875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 444.13034375
transcript.pyannote[143].end 446.69534375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 447.55596875
transcript.pyannote[144].end 460.09409375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 461.00534375
transcript.pyannote[145].end 466.96221875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 466.96221875
transcript.pyannote[146].end 467.31659375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 468.00846875
transcript.pyannote[147].end 468.02534375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 468.02534375
transcript.pyannote[148].end 489.10221875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 471.58596875
transcript.pyannote[149].end 472.78409375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 487.14471875
transcript.pyannote[150].end 488.03909375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 489.10221875
transcript.pyannote[151].end 489.15284375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 489.15284375
transcript.pyannote[152].end 489.18659375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 489.18659375
transcript.pyannote[153].end 489.22034375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 489.64221875
transcript.pyannote[154].end 490.04721875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 490.04721875
transcript.pyannote[155].end 490.14846875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 490.70534375
transcript.pyannote[156].end 495.95346875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 490.72221875
transcript.pyannote[157].end 491.43096875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 493.08471875
transcript.pyannote[158].end 503.00721875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 503.68221875
transcript.pyannote[159].end 506.66909375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 507.07409375
transcript.pyannote[160].end 510.46596875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 511.02284375
transcript.pyannote[161].end 511.96784375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 511.96784375
transcript.pyannote[162].end 512.74409375
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 512.74409375
transcript.pyannote[163].end 512.76096875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 513.26721875
transcript.pyannote[164].end 514.11096875
transcript.whisperx[0].start 1.01
transcript.whisperx[0].end 5.615
transcript.whisperx[0].text 謝謝主席以及各位先進有請國防部的顧部長請顧部長各位
transcript.whisperx[1].start 13.804
transcript.whisperx[1].end 22.936
transcript.whisperx[1].text 部長你好最近一直有一件事情我一直想要看內容都看不到一個是總統講的說台灣之盾
transcript.whisperx[2].start 32.033
transcript.whisperx[2].end 49.751
transcript.whisperx[2].text 另外一個就是特別預算我們要編有人講一兆那現在又聽到是一兆三這個等於在國防預算Regular的正常預算裡面另外要編特別預算請問到底是一兆還是一兆三
transcript.whisperx[3].start 51.652
transcript.whisperx[3].end 63.022
transcript.whisperx[3].text 跟委員報告 現在就是說關於這個特別預算的規模還在行政院審議當中所以我們等行政院審議確定以後但你有提出來啊 你提出來是多少
transcript.whisperx[4].start 64.363
transcript.whisperx[4].end 90.616
transcript.whisperx[4].text 呃我想因為還沒有審議完畢所以我想我們這邊因為這個預算的這個籌編是行政院的權責所以我還想自己行政院的決定最後的決定不是可是你你總是有個版本給行政院啊不然行政院什麼審呢你總是有個版本嘛不然這個這個因為原來講的是一兆後來說一兆三這個一兆三是不是太多了或者你你你你不變名講那我就說比一兆三少這樣可以吧
transcript.whisperx[5].start 92.016
transcript.whisperx[5].end 95.738
transcript.whisperx[5].text 我想還是要以行政院的審議的結果所以問不出答案就對了這裡面總是要講一下讓我們知道一下一兆多是不是都滿美國武器是不是我想這怎麼是機密呢要面對全國老百姓納稅的錢
transcript.whisperx[6].start 114.817
transcript.whisperx[6].end 125.62
transcript.whisperx[6].text 我想有軍購也有我們國內的自己的委制然後也有進行商購所以通通都是買武器就這個意思對吧特別條例嘛就類似戰機的特別條例2500億然後現在有一個特別條例一兆或者一兆三一兆到一兆三之間
transcript.whisperx[7].start 138.339
transcript.whisperx[7].end 145.181
transcript.whisperx[7].text 我想相關的這些相關的這些編列的內容我想等行政院核定之後我們再對外來說明剛剛我們林委員提到海空號海空號不在裡面吧沒有 海空號海空號是extra的不在除了besides海空號以外我們還要編一兆一兆就是台灣之盾這兩個是不是一樣一樣的東西
transcript.whisperx[8].start 163.393
transcript.whisperx[8].end 165.996
transcript.whisperx[8].text 這兩個是不是一樣的東西就是為了要建構台灣之盾所以編了一照我都聽你講話了你總是要回答一下嘛是跟委員報告我想我對你多好啊我們現在要快速提升的是不對稱戰力跟強化防衛韌性
transcript.whisperx[9].start 181.334
transcript.whisperx[9].end 193.619
transcript.whisperx[9].text 防空系統不是只有針對台灣之盾不是只有針對台灣之盾但是台灣之盾在其中之裡面會是其中的一個重要的主要是防空系統是不是我們的整個防空會包括反彈反擊跟反無人機還有整合啊整合系統啊像巴西斯坦可以贏印度那就是一個整合系統的問題啊
transcript.whisperx[10].start 210.236
transcript.whisperx[10].end 224.395
transcript.whisperx[10].text 所以我們會以這個強調這個高機動性跟高存活力的平台作為一個優先的考量所以主要是防空系統嘛相圍是一定的空優嘛 是不是我不知道我們現在有沒有空優啦
transcript.whisperx[11].start 225.876
transcript.whisperx[11].end 240.98
transcript.whisperx[11].text 我想我們現在的這個特別預算的這個內容應該還沒有經過核定我想但是我剛已經講了我們是以提升不對稱戰力跟強化防衛人性沒有會有包含這個你來這裡就要盡量講講到不能講為止不能夠說我盡量不講急一下急一下講一點那第二個小問題就是問你是不是全數舉債總可以講白
transcript.whisperx[12].start 255.811
transcript.whisperx[12].end 260.447
transcript.whisperx[12].text 這個部分是主計局來說明一下主計局啊 長官啊
transcript.whisperx[13].start 261.38
transcript.whisperx[13].end 266.881
transcript.whisperx[13].text 人家外面罵得要死啊 現在我們去哪裡人家就說立委要怎麼監督的國防部的組織局 欸 那個顧部長啊你左邊這一位啊 你要好好的去監督一下對不對 椅子買五萬塊一張 辦公桌兩百多萬一張唉 給我們賣到要死了 賣到臭頭啊連我們立委出去都被罵 所以我們都沒有好好監督啊
transcript.whisperx[14].start 287.486
transcript.whisperx[14].end 296.472
transcript.whisperx[14].text 對不對我們的主席多優秀把人抓出來要沒有抓出來就是按照你們原來講的啊能騙就騙 能框就框啊都這樣 對不對來講一下是不是都舉菜回答我是的 各位
transcript.whisperx[15].start 303.357
transcript.whisperx[15].end 326.482
transcript.whisperx[15].text 都百分之百舉債一兆一債是什麼概念啊我們一年中央政府總預算三兆喔三分之一的預算就舉債一兆除以兩千三百萬一個人要付多少錢你可以想一個人這個不是一年的特別預算那幾年七年七年一兆那就是七年平均一年就是也是一千多億啊
transcript.whisperx[16].start 329.991
transcript.whisperx[16].end 334.354
transcript.whisperx[16].text 1400億 1500億左右啊好 第二個問題啊 我很快把它講完喔我今天接到好多電話就在抗議啊內政部其實抗議你啊說這個不當兵的那個原來BMI啊去兩年前才修訂了 到3535以上不用當兵現在把它提到45
transcript.whisperx[17].start 358.828
transcript.whisperx[17].end 375.718
transcript.whisperx[17].text 那你對他講說替代役 這個部長 你講替代役那你要講一下吧 你現在提高這麼多這個讓很多的 很多可以來的一個小胖子或者是比較體型比較圓潤的通宵當兵的變這個樣子
transcript.whisperx[18].start 378.583
transcript.whisperx[18].end 403.657
transcript.whisperx[18].text 我想是不是軍醫局檢要說明我是軍醫局局長跟委員報告因為我們常備役的體位沒有改變維持原來的體位那我們增加的是替代役那替代役從BMI講清楚所以35到45都是替代役是不是是替代役35到45都是替代役那這樣可以增加多少人這個可能要問內政部醫政署
transcript.whisperx[19].start 405.967
transcript.whisperx[19].end 421.58
transcript.whisperx[19].text 都是替代役 替代役時間多久替代役時間也是一年來喔 我唸一段我就結束了這是選民給我的他的小孩子就是BMI45怎麼減都減不了就BMI45
transcript.whisperx[20].start 423.089
transcript.whisperx[20].end 446.55
transcript.whisperx[20].text 然後他特別提到了現在大於37.5只是聽好喔兩位長官大於37.5健保補助開縮胃手術就是醫學上講的病態性的一個肥胖那你現在37.5就健保補助你開縮胃的手術就很清楚
transcript.whisperx[21].start 447.608
transcript.whisperx[21].end 465.621
transcript.whisperx[21].text 以健康的角度來講37.5以上都不是太健康如果以肥胖來講的話那結果你要讓他去當兵萬一出了人命怎麼樣呢這個給我的是什麼就是他的小孩子就44他現在很憂心小孩子去當兵以後會不會怎麼樣會不會鬧出人命
transcript.whisperx[22].start 468.189
transcript.whisperx[22].end 489.02
transcript.whisperx[22].text 跟委員報告這個是內政部議政司現在初步的建議但是我們現在還在開會還沒定案只是說有這個方向那還要經過各個委員會還有各個學會還有醫院還有專家還有內政部議政司最後一句話什麼時候可以確定
transcript.whisperx[23].start 490.791
transcript.whisperx[23].end 512.011
transcript.whisperx[23].text 我大概在下個月大概就會定版下個月就會開始進入公告階段好好的把我剛剛那一段你把它看一下有些家長真的很憂心37.5是衛護部裡面健保可以補助的所謂的所謂的手術37.5是 謝委員的提醒好 謝謝