iVOD / 165684

Field Value
IVOD_ID 165684
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165684
日期 2025-11-20
會議資料.會議代碼 委員會-11-4-15-11
會議資料.會議代碼:str 第11屆第4會期內政委員會第11次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 11
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第4會期內政委員會第11次全體委員會議
影片種類 Clip
開始時間 2025-11-20T10:02:40+08:00
結束時間 2025-11-20T10:18:31+08:00
影片長度 00:15:51
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/972124280c86b913f6d05f75622baf87c4841f031bc0ad0afa443352b7318b8977988f7de2833a605ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 麥玉珍
委員發言時間 10:02:40 - 10:18:31
會議時間 2025-11-20T09:00:00+08:00
會議名稱 立法院第11屆第4會期內政委員會第11次全體委員會議(事由:邀請海洋委員會主任委員率同所屬列席報告業務概況,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 12.21471875
transcript.pyannote[0].end 14.99909375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 16.23096875
transcript.pyannote[1].end 17.09159375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 17.41221875
transcript.pyannote[2].end 17.98596875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 18.30659375
transcript.pyannote[3].end 19.30221875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 24.43221875
transcript.pyannote[4].end 25.02284375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 25.64721875
transcript.pyannote[5].end 26.50784375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 27.14909375
transcript.pyannote[6].end 45.15471875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 31.35096875
transcript.pyannote[7].end 31.97534375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 45.57659375
transcript.pyannote[8].end 48.36096875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 48.54659375
transcript.pyannote[9].end 78.56721875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 78.75284375
transcript.pyannote[10].end 84.11909375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 84.42284375
transcript.pyannote[11].end 108.01409375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 108.25034375
transcript.pyannote[12].end 108.60471875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 109.33034375
transcript.pyannote[13].end 116.28284375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 116.53596875
transcript.pyannote[14].end 127.52159375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 127.89284375
transcript.pyannote[15].end 129.90096875
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 130.25534375
transcript.pyannote[16].end 132.83721875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 133.05659375
transcript.pyannote[17].end 136.68471875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 136.83659375
transcript.pyannote[18].end 144.63284375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 144.88596875
transcript.pyannote[19].end 153.64409375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 151.46721875
transcript.pyannote[20].end 162.35159375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 161.00159375
transcript.pyannote[21].end 165.15284375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 163.92096875
transcript.pyannote[22].end 174.77159375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 174.94034375
transcript.pyannote[23].end 179.44596875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 179.53034375
transcript.pyannote[24].end 204.87659375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 202.69971875
transcript.pyannote[25].end 242.30534375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 207.13784375
transcript.pyannote[26].end 207.54284375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 208.87596875
transcript.pyannote[27].end 211.86284375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 213.22971875
transcript.pyannote[28].end 214.34346875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 216.80721875
transcript.pyannote[29].end 221.66721875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 242.47409375
transcript.pyannote[30].end 245.59596875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 243.77346875
transcript.pyannote[31].end 250.43909375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 248.31284375
transcript.pyannote[32].end 251.19846875
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 251.26596875
transcript.pyannote[33].end 267.73596875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 252.44721875
transcript.pyannote[34].end 252.68346875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 257.35784375
transcript.pyannote[35].end 257.54346875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 257.64471875
transcript.pyannote[36].end 257.71221875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 265.57596875
transcript.pyannote[37].end 279.51471875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 268.56284375
transcript.pyannote[38].end 268.79909375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 274.11471875
transcript.pyannote[39].end 277.89471875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 278.58659375
transcript.pyannote[40].end 285.52221875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 280.96596875
transcript.pyannote[41].end 282.67034375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 285.89346875
transcript.pyannote[42].end 296.81159375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 293.23409375
transcript.pyannote[43].end 303.56159375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 302.00909375
transcript.pyannote[44].end 304.06784375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 304.06784375
transcript.pyannote[45].end 308.55659375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 304.81034375
transcript.pyannote[46].end 308.20221875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 308.92784375
transcript.pyannote[47].end 315.71159375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 311.47596875
transcript.pyannote[48].end 312.40409375
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 314.98596875
transcript.pyannote[49].end 315.91409375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 315.91409375
transcript.pyannote[50].end 315.96471875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 315.96471875
transcript.pyannote[51].end 316.03221875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 316.03221875
transcript.pyannote[52].end 328.46909375
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 316.45409375
transcript.pyannote[53].end 317.38221875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 318.05721875
transcript.pyannote[54].end 320.04846875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 320.63909375
transcript.pyannote[55].end 321.06096875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 323.76096875
transcript.pyannote[56].end 323.96346875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 325.58346875
transcript.pyannote[57].end 326.05596875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 326.64659375
transcript.pyannote[58].end 332.63721875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 332.97471875
transcript.pyannote[59].end 337.17659375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 335.75909375
transcript.pyannote[60].end 355.97534375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 338.10471875
transcript.pyannote[61].end 340.26471875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 342.00284375
transcript.pyannote[62].end 342.34034375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 342.66096875
transcript.pyannote[63].end 345.00659375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 351.70596875
transcript.pyannote[64].end 352.49909375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 354.16971875
transcript.pyannote[65].end 358.84409375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 357.32534375
transcript.pyannote[66].end 359.19846875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 359.60346875
transcript.pyannote[67].end 361.44284375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 361.79721875
transcript.pyannote[68].end 373.69409375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 370.13346875
transcript.pyannote[69].end 371.83784375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 371.85471875
transcript.pyannote[70].end 373.32284375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 373.82909375
transcript.pyannote[71].end 377.94659375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 374.79096875
transcript.pyannote[72].end 375.76971875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 378.09846875
transcript.pyannote[73].end 382.95846875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 382.46909375
transcript.pyannote[74].end 389.28659375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 383.22846875
transcript.pyannote[75].end 383.54909375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 386.53596875
transcript.pyannote[76].end 395.73284375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 391.07534375
transcript.pyannote[77].end 394.23096875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 395.73284375
transcript.pyannote[78].end 395.74971875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 395.95221875
transcript.pyannote[79].end 414.00846875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 402.36471875
transcript.pyannote[80].end 402.41534375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 402.41534375
transcript.pyannote[81].end 402.43221875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 408.18659375
transcript.pyannote[82].end 410.76846875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 413.14784375
transcript.pyannote[83].end 413.99159375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 414.00846875
transcript.pyannote[84].end 414.02534375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 414.02534375
transcript.pyannote[85].end 414.04221875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 414.04221875
transcript.pyannote[86].end 414.14346875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 414.14346875
transcript.pyannote[87].end 417.45096875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 414.16034375
transcript.pyannote[88].end 415.35846875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 417.80534375
transcript.pyannote[89].end 438.69659375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 418.10909375
transcript.pyannote[90].end 418.44659375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 420.62346875
transcript.pyannote[91].end 421.36596875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 421.36596875
transcript.pyannote[92].end 421.55159375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 424.96034375
transcript.pyannote[93].end 426.02346875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 426.02346875
transcript.pyannote[94].end 427.84596875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 428.94284375
transcript.pyannote[95].end 429.06096875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 429.06096875
transcript.pyannote[96].end 429.22971875
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 436.85721875
transcript.pyannote[97].end 442.35846875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 442.57784375
transcript.pyannote[98].end 446.23971875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 442.62846875
transcript.pyannote[99].end 443.33721875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 446.99909375
transcript.pyannote[100].end 449.86784375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 447.37034375
transcript.pyannote[101].end 448.75409375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 450.34034375
transcript.pyannote[102].end 457.27596875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 453.73221875
transcript.pyannote[103].end 459.84096875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 458.13659375
transcript.pyannote[104].end 463.19909375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 459.92534375
transcript.pyannote[105].end 462.18659375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 462.40596875
transcript.pyannote[106].end 500.86409375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 501.10034375
transcript.pyannote[107].end 513.87471875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 514.24596875
transcript.pyannote[108].end 524.20221875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 524.72534375
transcript.pyannote[109].end 530.71596875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 529.46721875
transcript.pyannote[110].end 535.10346875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 535.30596875
transcript.pyannote[111].end 543.45659375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 543.45659375
transcript.pyannote[112].end 546.91596875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 546.76409375
transcript.pyannote[113].end 556.02846875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 556.24784375
transcript.pyannote[114].end 562.22159375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 556.28159375
transcript.pyannote[115].end 556.58534375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 562.59284375
transcript.pyannote[116].end 564.01034375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 564.14534375
transcript.pyannote[117].end 573.52784375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 573.64596875
transcript.pyannote[118].end 576.04221875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 576.43034375
transcript.pyannote[119].end 581.02034375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 581.25659375
transcript.pyannote[120].end 587.39909375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 587.58471875
transcript.pyannote[121].end 589.72784375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 589.89659375
transcript.pyannote[122].end 592.10721875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 592.22534375
transcript.pyannote[123].end 595.43159375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 595.61721875
transcript.pyannote[124].end 600.52784375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 600.73034375
transcript.pyannote[125].end 602.46846875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 602.90721875
transcript.pyannote[126].end 610.18034375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 609.33659375
transcript.pyannote[127].end 616.06971875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 616.27221875
transcript.pyannote[128].end 636.75846875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 628.30409375
transcript.pyannote[129].end 628.82721875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 637.53471875
transcript.pyannote[130].end 654.69659375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 641.70284375
transcript.pyannote[131].end 641.87159375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 641.87159375
transcript.pyannote[132].end 641.90534375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 641.90534375
transcript.pyannote[133].end 641.95596875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 641.95596875
transcript.pyannote[134].end 641.98971875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 641.98971875
transcript.pyannote[135].end 642.02346875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 642.02346875
transcript.pyannote[136].end 642.05721875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 642.05721875
transcript.pyannote[137].end 642.32721875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 643.50846875
transcript.pyannote[138].end 643.67721875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 646.61346875
transcript.pyannote[139].end 647.87909375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 654.19034375
transcript.pyannote[140].end 658.35846875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 658.59471875
transcript.pyannote[141].end 662.12159375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 659.96159375
transcript.pyannote[142].end 660.29909375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 662.47596875
transcript.pyannote[143].end 663.31971875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 663.82596875
transcript.pyannote[144].end 665.78346875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 665.63159375
transcript.pyannote[145].end 671.25096875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 668.51721875
transcript.pyannote[146].end 668.68596875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 671.47034375
transcript.pyannote[147].end 680.46471875
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 677.52846875
transcript.pyannote[148].end 681.47721875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 682.01721875
transcript.pyannote[149].end 689.07096875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 687.87284375
transcript.pyannote[150].end 694.63971875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 695.29784375
transcript.pyannote[151].end 704.22471875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 704.51159375
transcript.pyannote[152].end 751.74471875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 707.51534375
transcript.pyannote[153].end 707.53221875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 707.53221875
transcript.pyannote[154].end 708.20721875
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 709.05096875
transcript.pyannote[155].end 710.95784375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 711.41346875
transcript.pyannote[156].end 711.64971875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 715.32846875
transcript.pyannote[157].end 715.81784375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 715.95284375
transcript.pyannote[158].end 716.02034375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 716.02034375
transcript.pyannote[159].end 716.57721875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 716.57721875
transcript.pyannote[160].end 716.66159375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 751.81221875
transcript.pyannote[161].end 757.78596875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 754.71471875
transcript.pyannote[162].end 762.34221875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 760.19909375
transcript.pyannote[163].end 760.75596875
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 763.03409375
transcript.pyannote[164].end 773.91846875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 763.23659375
transcript.pyannote[165].end 763.72596875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 765.91971875
transcript.pyannote[166].end 771.84284375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 771.84284375
transcript.pyannote[167].end 771.89346875
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 774.50909375
transcript.pyannote[168].end 776.70284375
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 777.04034375
transcript.pyannote[169].end 781.83284375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 779.36909375
transcript.pyannote[170].end 792.17721875
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 782.40659375
transcript.pyannote[171].end 783.16596875
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 784.06034375
transcript.pyannote[172].end 784.90409375
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 785.68034375
transcript.pyannote[173].end 786.50721875
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 786.60846875
transcript.pyannote[174].end 788.32971875
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 789.03846875
transcript.pyannote[175].end 802.09971875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 797.62784375
transcript.pyannote[176].end 849.55221875
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 815.59971875
transcript.pyannote[177].end 815.61659375
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 815.83596875
transcript.pyannote[178].end 816.34221875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 839.98409375
transcript.pyannote[179].end 841.03034375
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 841.03034375
transcript.pyannote[180].end 841.63784375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 849.58596875
transcript.pyannote[181].end 874.27409375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 874.45971875
transcript.pyannote[182].end 878.89784375
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 879.55596875
transcript.pyannote[183].end 888.04409375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 888.41534375
transcript.pyannote[184].end 904.24409375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 904.29471875
transcript.pyannote[185].end 905.30721875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 905.61096875
transcript.pyannote[186].end 944.40659375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 944.57534375
transcript.pyannote[187].end 947.86596875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 948.10221875
transcript.pyannote[188].end 949.09784375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 949.36784375
transcript.pyannote[189].end 950.43096875
transcript.whisperx[0].start 12.57
transcript.whisperx[0].end 19.779
transcript.whisperx[0].text 主席好 有請我們的主委 管主委請到主委外委員好
transcript.whisperx[1].start 25.674
transcript.whisperx[1].end 53.562
transcript.whisperx[1].text 主委好我們海巡兄弟真的很辛苦除了要抓偷渡的抓走私的還有查毒品還要應對就是業界的捕魚 護魚對岸灰色地帶的挑釁的行為這些工作量幾乎是就是一直累積一直紮在一起請教我們的主委
transcript.whisperx[2].start 55.036
transcript.whisperx[2].end 81.433
transcript.whisperx[2].text 這幾年就是美國啊中國新加坡還有很多國家都用無人船還有運用海巡的任務上我們在台灣也在14年6月8月做過就是無人船的測試但是到現在我們看不到明確部署的方向還有海巡人員的工作範圍越來越廣但是
transcript.whisperx[3].start 84.555
transcript.whisperx[3].end 96.22
transcript.whisperx[3].text 又人力不足無人機載具的無人就是無人載具的應該最直接的解方之一請問我們的海委會有沒有把這個無人載具的納入中長城的計畫目前海巡署對無人載具的規劃是怎麼樣有沒有
transcript.whisperx[4].start 109.386
transcript.whisperx[4].end 115.583
transcript.whisperx[4].text 就是設定具體的時程因為我們今天沒有看到報告裡面也沒有說
transcript.whisperx[5].start 116.547
transcript.whisperx[5].end 140.868
transcript.whisperx[5].text 好 謝謝麥委員關心這確實是未來發展一個非常重要的面向我們一定要趕上這個新的時代所以我們有新的計畫那也非常謝謝大院的支持委員也都有同意讓我們的預算有通過那委員會看到說我們目前還沒有部署的原因
transcript.whisperx[6].start 141.528
transcript.whisperx[6].end 154.833
transcript.whisperx[6].text 是因為預算是編在明年開始明年我們就會有大幅度的部署包括無人機跟無人艇明年才要因為我們看到你們有測試所以我們都還沒有看到
transcript.whisperx[7].start 157.714
transcript.whisperx[7].end 162.48
transcript.whisperx[7].text 所以說好如果是明年明年的話我們就要無人機的話都在訓練了都在訓練 明年的話我們想要請教一下說無人船的打算是國造還是說委託民間團體來合作
transcript.whisperx[8].start 175.696
transcript.whisperx[8].end 200.493
transcript.whisperx[8].text 目前因为没有看到说进行的技术评估或者测试报告因为你说有测试我们没有看到所以测试的结果到底如何我们传承聚含力还有影像的输出还有就是眼端操作的稳定性有没有达到我们要的标准
transcript.whisperx[9].start 201.653
transcript.whisperx[9].end 204.875
transcript.whisperx[9].text 這些都有測試所以我們是不是有一些那個測試是民間辦民間辦所以就是委任民間嘛沒有跟我們無關他們自己要展示他們的商品給我們看這樣子所以商品是你們委任他們去做他們去那個
transcript.whisperx[10].start 222.105
transcript.whisperx[10].end 243.243
transcript.whisperx[10].text 国内的造船厂他自己也要研发他自己也要跟上世界的脚步所以他们自己就都有去研发了他们研发的东西不见得符合我们的需要他们要去改所以他们研发了以后到可以展现给大家看的时候他们自己办的测试跟我们无关
transcript.whisperx[11].start 243.923
transcript.whisperx[11].end 272.038
transcript.whisperx[11].text 所以我们刚才你说我们的那个已经在用明年的预算现在就是别人的没有委员这是两回事就是您看到的那个测试是国内的无人艇的测试那我们明年要买的时候我们会开国际标就是全世界还有包括国内他们都可以来标那我们在10月份的时候我们也看到你们是在6月8月的时候就有做测试啊
transcript.whisperx[12].start 272.378
transcript.whisperx[12].end 277.684
transcript.whisperx[12].text 不是我們做的測試不是你們做的測試民間所以船是民間買的你的預算是船是民間造的是造船廠造船廠做測試測試給我們看把他們做出來的成果測試給大家看我們有派人去看到處都有派人去看
transcript.whisperx[13].start 293.34
transcript.whisperx[13].end 306.004
transcript.whisperx[13].text 所以說到現在我們都沒有再用這樣子的工具來去我們現在因為我剛才講的無人船沒有無人機有無人船這樣子的話那麼現在就是無人機有
transcript.whisperx[14].start 309.005
transcript.whisperx[14].end 313.146
transcript.whisperx[14].text 無人船我們現在沒有 還沒有剛才我問的是測試 測試的是無人船無人船測試也是國內的造船廠 也是他們在做不是我們所以我們也沒有說要去做這件事情我們當然也很希望各家都去測試給我們看
transcript.whisperx[15].start 333.55
transcript.whisperx[15].end 339.094
transcript.whisperx[15].text 包括國外的都來測試給我們看但是現在很多國家都要用無人船來去做我們帶巡海或者是海防的能力的轉型因為現在我們的敵情變化那麼快所以我們無人載具的不只是輔助委員有看到關鍵是 不要說我們
transcript.whisperx[16].start 359.708
transcript.whisperx[16].end 380.238
transcript.whisperx[16].text 我們不能就是就是輔助而已我們希望的是說更減少人力的風險這樣才是我們要的工具我們不只是去抗而已我們希望真的是落實因為現在現在沒有落實我們真的海巡送地很
transcript.whisperx[17].start 380.858
transcript.whisperx[17].end 387.588
transcript.whisperx[17].text 很辛苦又很危險無人機的部分都在訓練飛手我們那個艦隊副署長在我們也要弄很厲害的無人機
transcript.whisperx[18].start 396.279
transcript.whisperx[18].end 415.199
transcript.whisperx[18].text 對我知道但是我們現在無人船的要沒有就是具體的你說測試但是我們沒有看到說你們測試是別人就是這些廠商在測試給你們看但是你們也要真正的落實我們要買我們是買家他們要秀給我們看
transcript.whisperx[19].start 418.022
transcript.whisperx[19].end 428.506
transcript.whisperx[19].text 對啊 但是秀那麼久了嘛 我的意思是說秀那麼久了 我們這邊有沒有什麼就是說 知道這樣子的我們要的一個具體的一個數據啦不是只有去看 看看就沒有啊 看看就沒有啊 當時要賣 當時要用對不對 我們要的是這樣子的一個所以你們車的過程沒有任何的一個
transcript.whisperx[20].start 447.033
transcript.whisperx[20].end 459.617
transcript.whisperx[20].text 考量或者是說數據啊什麼都沒有民間有民間有民間的數據啦所以你們就是看一看 簡單的去就好了我們都收集回來研究還有第二個就是說我們現在就是寒流來一波又一波我們是陪海岸啊東北角還有就是龜山島
transcript.whisperx[21].start 473.102
transcript.whisperx[21].end 477.385
transcript.whisperx[21].text 還有澎渣嶼的這些地方我們有受到很多的懲罰所以因為現在寒流越來越多就是有八九度隨著就是風雨還有就是海象的惡劣但是我們海巡送堤就是無論是多冷多風還是多危險他們都要出海對不對所以但是我們很多懲罰是說
transcript.whisperx[22].start 501.201
transcript.whisperx[22].end 523.383
transcript.whisperx[22].text 他們的防寒外套還有防寒褲還有雨衣還有手套就只是一套而已而且就是好幾年的就是很舊的裝備有的破了落水的還有保暖不夠很多兄弟他們自己還要去買一些羽毛衣所以我們想要
transcript.whisperx[23].start 524.784
transcript.whisperx[23].end 541.765
transcript.whisperx[23].text 我們主委這邊這樣子說得過去嗎?對他們公平嗎?不會喔 委員我們那個遇寒喔 那都泡泡很高的我理導有那種很保暖的大衣給他們我給書長 還是給書長給委員報告好不好
transcript.whisperx[24].start 543.487
transcript.whisperx[24].end 568.058
transcript.whisperx[24].text 好 因為我們有收到陳情委員好 跟委員報告那我們現在分兩個段就是第一次那個同仁報到的時候我們就會發給他一套海巡外套那其實他是很厚的那另外針對外離島的部分我們會再加發一件海巡的大衣他是長的比較保暖的部分那另外這些東西還包括防環帽還有包括手套 包括這些
transcript.whisperx[25].start 568.698
transcript.whisperx[25].end 595.029
transcript.whisperx[25].text 防寒衣裡面的那件防寒衣都是有的那所以基本上它是夠的那在第二次像剛剛委員講說就很久沒有發我們第二次發的時候就變成選項的項目就是說我們有多少經費那你去點選我今年是要買換我的外套換了那我就選我要這一年要撥補的是外套那我的如果是裡面的置物壞掉我就選它但是我們一定的價格因為它是變預算的關係
transcript.whisperx[26].start 595.849
transcript.whisperx[26].end 614.296
transcript.whisperx[26].text 讓他自己去點選所以在基本上在防寒的部分我們對通常照顧是非常多的那像明年開始我們就編了包括外地阿波我們就編了7600件的那個大衣給他們所以每一個人都會有一件很好的防寒大衣好 我們希望就是一次性你們有沒有做一次性的全國盤點全國的盤點
transcript.whisperx[27].start 617.837
transcript.whisperx[27].end 636.039
transcript.whisperx[27].text 因为现在这群孩子在外面就是在海边还有风吹什么的冒着就是生命危险来守护我们的国家所以我们希望说他们要有保暖我们要做得到所以希望就是说我们组委这边
transcript.whisperx[28].start 638.371
transcript.whisperx[28].end 662.963
transcript.whisperx[28].text 針對就是我們外島有哪一單位最缺的或者你掌握清楚嗎所以我們希望你要做這個盤點我們就說有但是還有人跟我們陳情就表示你們就沒有盤點沒有給足跟委員報告就是鬼人現在照片看的是我們的大衣而是那個外套海巡的防航外套我們另外還有一件是防航大衣所以不一樣的
transcript.whisperx[29].start 664.083
transcript.whisperx[29].end 685.699
transcript.whisperx[29].text 外離島一定是有防寒大衣的我們知道因為他跟我們澄清跟我們說的很清楚所以我們希望的就是說防寒衣物到底有配就是分配有多少委員關心的外離島麻煩委員回答他關心的外離島的重磅防寒大衣100%
transcript.whisperx[30].start 687
transcript.whisperx[30].end 689.481
transcript.whisperx[30].text 每個人都有所以我們希望說這個要給我們全國的盤點如果是說我們有但是說有想誰要你就給沒有要就沒給這樣子的話是真的是不公平我們希望的是說你們要全國
transcript.whisperx[31].start 704.914
transcript.whisperx[31].end 714.1
transcript.whisperx[31].text 全国要去盘点那个是第二次了对我们是知道但是我们看到里面的一项里面没有写到说就是防寒衣你们是有有筹备装备要去采购但是没有没有明确了所以我们希望的是说全国就是要盘点还有所有的外套防寒裤啊衣服啊手套这一些
transcript.whisperx[32].start 729.509
transcript.whisperx[32].end 730.251
transcript.whisperx[32].text 庫存狀況或者是說立即採購優先補足就是我們的
transcript.whisperx[33].start 736.657
transcript.whisperx[33].end 755.743
transcript.whisperx[33].text 北海岸東北角就是外島的就是缺口還有就是跨部會看到怎麼協調就是因為剛才都有講到預算所以我們必要就是說採購的部分要讓我們大家穿的暖不是名牌他們要穿的暖全盤要去服裝費一個人6700被刪到剩下3000
transcript.whisperx[34].start 763.585
transcript.whisperx[34].end 783.435
transcript.whisperx[34].text 對啦 這個我來想辦法啦 好不好所以這兩個 兩件事情因為時間 不好意思一個人六千 七改成一個人三千這個不夠啦 這個不行啦 拜託委員支持啦這不是不夠不行的問題 現在你就扯到是這個預算我們要說你全國盤點
transcript.whisperx[35].start 786.596
transcript.whisperx[35].end 793.359
transcript.whisperx[35].text 天國盤點的問題還有我們看到那個預算裡面沒有但是預含絕對百分之百我們一定都給還有第一次我們絕對百分之百強制給那現在不夠的部分我就時間有關係主委因為呢不管是說你有沒有說編列預算如果沒有編預算可能就是要跟行政院怎麼樣去增加預算因為是有人跟我們反應跟我們陳情我們才要
transcript.whisperx[36].start 814.688
transcript.whisperx[36].end 835.506
transcript.whisperx[36].text 要求所以我就時間有關係就是兩個重點第一個就是今天就是兩個問題一個就是科技升級就是我們的就是無人船就是要載具要清楚我們明年嘛明年不能只是看要有一個數據要有哪一個廠商對我們最好的哪一個我們採購這個要有嗎不是我們都有去看明年就是第一
transcript.whisperx[37].start 843.112
transcript.whisperx[37].end 860.614
transcript.whisperx[37].text 还有第二个就是人员的照顾无人载具要导入是海防就是转型的关键现在所以我们这装备要补足还有就是第一线的送递要能撑到就是基本的保障
transcript.whisperx[38].start 860.794
transcript.whisperx[38].end 864.356
transcript.whisperx[38].text 這兩項的話你可以說要怎麼樣去幫忙去保證比較落實所以我們希望就是在一個月內可以提出就是你有去看無人床他們的測試什麼的因為我們要的是
transcript.whisperx[39].start 879.582
transcript.whisperx[39].end 883.424
transcript.whisperx[39].text 要購買要花錢花在刀口上對不對要完整給我們因為我們是海防不只是防線是跟的重要的是信任還有希望我們的海巡送地他們就是有科技可以用現在都科技了還有溫度的衣服讓他們可以防暖這事情要有安全最好就是科技安全人員安全對不對
transcript.whisperx[40].start 909.039
transcript.whisperx[40].end 929.37
transcript.whisperx[40].text 这样子的话我们真正的才是说我们的海巡我们国防的任性这样子才达到就是我们要的花钱花在刀口上这样子对我们国家是更好我们要的是这样子就是让我们宋帝安心照顾好让他们出海
transcript.whisperx[41].start 930.751
transcript.whisperx[41].end 946.479
transcript.whisperx[41].text 還沒刮到 大家晚上要去做工作 還沒刮還要洗我們在裡面可以穿暖 就有暖氣 他們出去不一樣所以他們的反應是這樣所以希望我們主委 就是全國盤點的需求 好嗎謝謝