iVOD / 165712

Field Value
IVOD_ID 165712
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165712
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 2025-11-20T11:52:08+08:00
結束時間 2025-11-20T12:02:46+08:00
影片長度 00:10:38
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/972124280c86b913b686c44626985019c4841f031bc0ad0a8603fab3ff6def27c89ebdc37aa605965ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 徐欣瑩
委員發言時間 11:52:08 - 12:02:46
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_02
transcript.pyannote[0].start 10.96596875
transcript.pyannote[0].end 15.48846875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 15.91034375
transcript.pyannote[1].end 17.02409375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 17.02409375
transcript.pyannote[2].end 17.05784375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 22.55909375
transcript.pyannote[3].end 23.35221875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 23.47034375
transcript.pyannote[4].end 24.68534375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 25.24221875
transcript.pyannote[5].end 25.90034375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 26.47409375
transcript.pyannote[6].end 34.94534375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 35.45159375
transcript.pyannote[7].end 37.37534375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 37.84784375
transcript.pyannote[8].end 43.99034375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 44.80034375
transcript.pyannote[9].end 45.34034375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 45.52596875
transcript.pyannote[10].end 52.52909375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 51.78659375
transcript.pyannote[11].end 53.52471875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 52.79909375
transcript.pyannote[12].end 54.50346875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 53.76096875
transcript.pyannote[13].end 54.46971875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 55.66784375
transcript.pyannote[14].end 60.24096875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 60.57846875
transcript.pyannote[15].end 65.01659375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 65.86034375
transcript.pyannote[16].end 67.56471875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 67.26096875
transcript.pyannote[17].end 73.21784375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 71.59784375
transcript.pyannote[18].end 75.56346875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 75.56346875
transcript.pyannote[19].end 81.62159375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 80.99721875
transcript.pyannote[20].end 82.17846875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 82.92096875
transcript.pyannote[21].end 84.18659375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 84.50721875
transcript.pyannote[22].end 89.45159375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 87.94971875
transcript.pyannote[23].end 96.58971875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 95.03721875
transcript.pyannote[24].end 97.51784375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 96.82596875
transcript.pyannote[25].end 112.24971875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 104.16659375
transcript.pyannote[26].end 104.60534375
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 105.04409375
transcript.pyannote[27].end 105.16221875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 105.16221875
transcript.pyannote[28].end 105.21284375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 108.23346875
transcript.pyannote[29].end 109.73534375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 110.84909375
transcript.pyannote[30].end 111.49034375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 112.51971875
transcript.pyannote[31].end 113.14409375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 112.55346875
transcript.pyannote[32].end 114.07221875
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 115.16909375
transcript.pyannote[33].end 117.24471875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 118.42596875
transcript.pyannote[34].end 118.56096875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 118.56096875
transcript.pyannote[35].end 118.86471875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 118.86471875
transcript.pyannote[36].end 120.13034375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 118.91534375
transcript.pyannote[37].end 119.60721875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 120.13034375
transcript.pyannote[38].end 120.18096875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 120.18096875
transcript.pyannote[39].end 122.57721875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 122.13846875
transcript.pyannote[40].end 124.97346875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 125.47971875
transcript.pyannote[41].end 127.92659375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 125.63159375
transcript.pyannote[42].end 127.94346875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 127.94346875
transcript.pyannote[43].end 128.12909375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 128.12909375
transcript.pyannote[44].end 128.95596875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 129.05721875
transcript.pyannote[45].end 132.75284375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 131.28471875
transcript.pyannote[46].end 133.24221875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 133.24221875
transcript.pyannote[47].end 136.39784375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 133.49534375
transcript.pyannote[48].end 133.54596875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 133.56284375
transcript.pyannote[49].end 133.57971875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 136.58346875
transcript.pyannote[50].end 146.80971875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 139.19909375
transcript.pyannote[51].end 139.41846875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 140.59971875
transcript.pyannote[52].end 142.92846875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 142.92846875
transcript.pyannote[53].end 142.96221875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 147.56909375
transcript.pyannote[54].end 148.61534375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 148.19346875
transcript.pyannote[55].end 148.41284375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 148.61534375
transcript.pyannote[56].end 148.73346875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 148.73346875
transcript.pyannote[57].end 151.83846875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 152.54721875
transcript.pyannote[58].end 159.07784375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 159.38159375
transcript.pyannote[59].end 165.16971875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 165.87846875
transcript.pyannote[60].end 166.26659375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 166.31721875
transcript.pyannote[61].end 166.38471875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 166.41846875
transcript.pyannote[62].end 166.72221875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 167.22846875
transcript.pyannote[63].end 167.24534375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 167.24534375
transcript.pyannote[64].end 175.51409375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 170.89034375
transcript.pyannote[65].end 171.19409375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 171.34596875
transcript.pyannote[66].end 178.36596875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 178.58534375
transcript.pyannote[67].end 182.01096875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 182.31471875
transcript.pyannote[68].end 183.68159375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 185.58846875
transcript.pyannote[69].end 185.60534375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 185.60534375
transcript.pyannote[70].end 209.87159375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 191.22471875
transcript.pyannote[71].end 193.60409375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 207.81284375
transcript.pyannote[72].end 209.78721875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 210.10784375
transcript.pyannote[73].end 210.49596875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 210.49596875
transcript.pyannote[74].end 216.68909375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 213.34784375
transcript.pyannote[75].end 213.83721875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 217.00971875
transcript.pyannote[76].end 222.61221875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 219.92909375
transcript.pyannote[77].end 222.64596875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 222.64596875
transcript.pyannote[78].end 222.66284375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 222.66284375
transcript.pyannote[79].end 222.67971875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 222.67971875
transcript.pyannote[80].end 222.69659375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 222.89909375
transcript.pyannote[81].end 223.96221875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 223.96221875
transcript.pyannote[82].end 232.70346875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 225.26159375
transcript.pyannote[83].end 227.03346875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 227.03346875
transcript.pyannote[84].end 227.05034375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 233.27721875
transcript.pyannote[85].end 234.93096875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 235.58909375
transcript.pyannote[86].end 246.54096875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 247.19909375
transcript.pyannote[87].end 247.63784375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 248.46471875
transcript.pyannote[88].end 250.05096875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 249.57846875
transcript.pyannote[89].end 249.78096875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 250.47284375
transcript.pyannote[90].end 257.42534375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 253.79721875
transcript.pyannote[91].end 256.73346875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 257.79659375
transcript.pyannote[92].end 262.72409375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 263.21346875
transcript.pyannote[93].end 270.60471875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 271.19534375
transcript.pyannote[94].end 278.23221875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 279.07596875
transcript.pyannote[95].end 280.32471875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 280.88159375
transcript.pyannote[96].end 282.02909375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 282.02909375
transcript.pyannote[97].end 282.60284375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 283.27784375
transcript.pyannote[98].end 283.29471875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 283.29471875
transcript.pyannote[99].end 284.50971875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 285.10034375
transcript.pyannote[100].end 290.02784375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 288.47534375
transcript.pyannote[101].end 288.59346875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 290.24721875
transcript.pyannote[102].end 293.03159375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 293.67284375
transcript.pyannote[103].end 295.69784375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 293.75721875
transcript.pyannote[104].end 297.11534375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 297.13221875
transcript.pyannote[105].end 298.51596875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 297.23346875
transcript.pyannote[106].end 305.18159375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 304.01721875
transcript.pyannote[107].end 311.44221875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 305.60346875
transcript.pyannote[108].end 325.83659375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 312.38721875
transcript.pyannote[109].end 313.53471875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 320.41971875
transcript.pyannote[110].end 333.63284375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 330.94971875
transcript.pyannote[111].end 331.57409375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 332.77221875
transcript.pyannote[112].end 344.93909375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 339.91034375
transcript.pyannote[113].end 340.88909375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 342.18846875
transcript.pyannote[114].end 348.07784375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 348.51659375
transcript.pyannote[115].end 352.04346875
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 352.46534375
transcript.pyannote[116].end 356.98784375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 357.03846875
transcript.pyannote[117].end 360.02534375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 360.02534375
transcript.pyannote[118].end 361.07159375
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 361.07159375
transcript.pyannote[119].end 362.40471875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 361.15596875
transcript.pyannote[120].end 362.37096875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 362.40471875
transcript.pyannote[121].end 362.42159375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 363.80534375
transcript.pyannote[122].end 373.86284375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 373.03596875
transcript.pyannote[123].end 387.63284375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 375.26346875
transcript.pyannote[124].end 375.70221875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 375.78659375
transcript.pyannote[125].end 376.44471875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 382.45221875
transcript.pyannote[126].end 382.97534375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 387.63284375
transcript.pyannote[127].end 400.54221875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 388.74659375
transcript.pyannote[128].end 389.20221875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 399.29346875
transcript.pyannote[129].end 420.37034375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 401.89221875
transcript.pyannote[130].end 403.07346875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 420.37034375
transcript.pyannote[131].end 422.10846875
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 421.01159375
transcript.pyannote[132].end 422.36159375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 422.73284375
transcript.pyannote[133].end 430.14096875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 425.04471875
transcript.pyannote[134].end 425.06159375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 430.17471875
transcript.pyannote[135].end 440.72159375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 430.47846875
transcript.pyannote[136].end 431.10284375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 431.32221875
transcript.pyannote[137].end 432.04784375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 441.21096875
transcript.pyannote[138].end 452.55096875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 445.41284375
transcript.pyannote[139].end 445.86846875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 447.79221875
transcript.pyannote[140].end 449.20971875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 449.74971875
transcript.pyannote[141].end 449.96909375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 449.96909375
transcript.pyannote[142].end 450.01971875
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 451.16721875
transcript.pyannote[143].end 451.42034375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 452.73659375
transcript.pyannote[144].end 457.14096875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 453.66471875
transcript.pyannote[145].end 469.03784375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 458.69346875
transcript.pyannote[146].end 459.04784375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 469.03784375
transcript.pyannote[147].end 475.24784375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 469.17284375
transcript.pyannote[148].end 469.96596875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 471.78846875
transcript.pyannote[149].end 472.36221875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 473.20596875
transcript.pyannote[150].end 476.63159375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 475.53471875
transcript.pyannote[151].end 476.61471875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 476.63159375
transcript.pyannote[152].end 477.00284375
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 477.00284375
transcript.pyannote[153].end 479.78721875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 477.20534375
transcript.pyannote[154].end 477.91409375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 480.20909375
transcript.pyannote[155].end 481.30596875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 481.84596875
transcript.pyannote[156].end 482.43659375
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 482.95971875
transcript.pyannote[157].end 489.10221875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 489.10221875
transcript.pyannote[158].end 505.75784375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 495.44721875
transcript.pyannote[159].end 495.86909375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 495.86909375
transcript.pyannote[160].end 495.91971875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 505.25159375
transcript.pyannote[161].end 514.87034375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 514.87034375
transcript.pyannote[162].end 520.11846875
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 517.33409375
transcript.pyannote[163].end 528.89346875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 528.82596875
transcript.pyannote[164].end 531.99846875
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 531.34034375
transcript.pyannote[165].end 536.30159375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 536.68971875
transcript.pyannote[166].end 543.03471875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 538.20846875
transcript.pyannote[167].end 539.79471875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 540.72284375
transcript.pyannote[168].end 540.97596875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 543.35534375
transcript.pyannote[169].end 547.15221875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 544.99221875
transcript.pyannote[170].end 545.31284375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 546.62909375
transcript.pyannote[171].end 547.10159375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 547.64159375
transcript.pyannote[172].end 559.72409375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 560.01096875
transcript.pyannote[173].end 571.62096875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 571.90784375
transcript.pyannote[174].end 581.47596875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 581.88096875
transcript.pyannote[175].end 585.07034375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 585.18846875
transcript.pyannote[176].end 586.69034375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 586.90971875
transcript.pyannote[177].end 597.50721875
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 595.53284375
transcript.pyannote[178].end 599.16096875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 597.69284375
transcript.pyannote[179].end 598.13159375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 598.62096875
transcript.pyannote[180].end 602.70471875
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 602.29971875
transcript.pyannote[181].end 602.67096875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 602.70471875
transcript.pyannote[182].end 609.94409375
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 602.73846875
transcript.pyannote[183].end 602.75534375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 602.80596875
transcript.pyannote[184].end 602.85659375
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 610.26471875
transcript.pyannote[185].end 626.63346875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 625.78971875
transcript.pyannote[186].end 629.19846875
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 626.83596875
transcript.pyannote[187].end 630.44721875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 629.95784375
transcript.pyannote[188].end 630.43034375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 630.44721875
transcript.pyannote[189].end 632.15159375
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 632.20221875
transcript.pyannote[190].end 634.53096875
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 632.53971875
transcript.pyannote[191].end 632.99534375
transcript.whisperx[0].start 12.081
transcript.whisperx[0].end 16.823
transcript.whisperx[0].text 謝謝主席 我們請管主委請管主委主委好今天本席首先想要針對海廢海洋廢棄物的部分來跟您請教
transcript.whisperx[1].start 35.949
transcript.whisperx[1].end 64.781
transcript.whisperx[1].text 我想在你们的报告中也有特别讲特别提到海废的治理跟海废的处理可能你们觉得做得还不错应该重视吧因为海废的处理它影响我们整个的环境首先我想了解一下我们好像是中央跟地方
transcript.whisperx[2].start 65.902
transcript.whisperx[2].end 81.945
transcript.whisperx[2].text 联合一起处理吗我们补助地方让政府地方来执行你们中央没有吗不是有全责吗没有吗我们的经费下去但是必须是地方政府来协助执行所以没有
transcript.whisperx[3].start 82.95
transcript.whisperx[3].end 111.946
transcript.whisperx[3].text 分海域哪些给地方政府哪些是给中央没有所以中央自己没有海洋废棄物的清理跟海洋污染的应变不一样海洋污染的应变的话我是指海洋废棄物海洋废棄物的清理的话我们最主要就是需要因为它横跨在全国非常广大的海域所以它的执行我们有请地方政府或者是民间的团体来协助对
transcript.whisperx[4].start 112.587
transcript.whisperx[4].end 112.848
transcript.whisperx[4].text 那這樣民間的團體
transcript.whisperx[5].start 118.504
transcript.whisperx[5].end 146.625
transcript.whisperx[5].text 是不是应该主委主委是不是有一些还是是你们我们是应变啦应变属于我们啦应变是你们那我现在请教我这边拿到的了解资料是你三海里以内是不是是地方三海里以外的是不是你们中央海上主要群职是海上那我现在说海底下海底下三海里以内也都还是地方嘛
transcript.whisperx[6].start 147.868
transcript.whisperx[6].end 164.25
transcript.whisperx[6].text 對地方那你們知道地方有些困難嗎譬如說你有經費委託地方是那但是地方政府對於譬如說你15公尺或30公尺以下的這個是誰
transcript.whisperx[7].start 167.274
transcript.whisperx[7].end 183.428
transcript.whisperx[7].text 每一年我们有一个我们有平台所以我们补助下去的时候你可不可以先救我的问题因为我时间也不多啦你现在海底废弃物超过15公尺或30公尺更深的你也是给地方吗
transcript.whisperx[8].start 185.643
transcript.whisperx[8].end 209.56
transcript.whisperx[8].text 我们基本上地方还是第一线来替我们执行好那主委我看你可能完全不了解我们这里要委托下去清除我们委托前海战将系统下去清除也是必须是前海战将系统来协助我们清除那海委会的同仁不可能自己下去清除我的意思是说
transcript.whisperx[9].start 210.58
transcript.whisperx[9].end 234.756
transcript.whisperx[9].text 地方他也是委外嘛他也是委托但有一些可能是我们的一些渔民就是包括叫做什么环保前海战将这些对还有环保舰队对对对前海战将环保舰队就是渔民还有一些潜水业者或热爱潜水的民众那现在主委我要讲一个重点
transcript.whisperx[10].start 235.703
transcript.whisperx[10].end 246.236
transcript.whisperx[10].text 我們發現在深海超過15公尺甚至30公尺以下很多的魚礁有很多的流刺網他整個都這個
transcript.whisperx[11].start 248.57
transcript.whisperx[11].end 270.465
transcript.whisperx[11].text 覆盖在鱼礁上那个部分是最困难的对最困难的地方他也没办法你给的经费他也没办法结果长期这个海底一堆的这些流刺网我们很多长期下来很多的鱼类他们都被这些流刺网刺死了
transcript.whisperx[12].start 271.617
transcript.whisperx[12].end 295.918
transcript.whisperx[12].text 這個情況已經好幾年了我們中央都沒有辦法處理然後地方他們沒有辦法因為你太深了這一塊想辦法跟委員報告這也是為什麼我一直期待我們的海保署要有一個大幅度的體質的改變你體質改變是說你們自己有專業團隊嗎
transcript.whisperx[13].start 297.259
transcript.whisperx[13].end 312.659
transcript.whisperx[13].text 你要培养自己的吗我们一定要赋能一定要强化我们连预算一年的预算整个海保署只有8亿我就请教你你的意思是你们要自己有专业的人员专业的团队吗你回答一下我们正在做主改是不是
transcript.whisperx[14].start 313.12
transcript.whisperx[14].end 330.075
transcript.whisperx[14].text 你是不是朝向这方面基本上海委会自己本身还帮助自己本身组团队下去处理这些事情你现在就觉得钱不够但是我们海底的这种情况已经很多年而且地方跟我们反映
transcript.whisperx[15].start 330.495
transcript.whisperx[15].end 346.668
transcript.whisperx[15].text 她一直反應就是沒有人重視我們現在連海廢地圖都沒有做到全面所以海廢地圖的部分我們要用水下的滑翔液我們先用水下的滑翔液下去做調查每年捐助北美環境教育協會
transcript.whisperx[16].start 348.61
transcript.whisperx[16].end 361.111
transcript.whisperx[16].text 也是就是針對一些這個近海大聯盟等於是你每年花120萬請問那個效益是什麼我請我請副署長說明副署長是不是好來
transcript.whisperx[17].start 363.888
transcript.whisperx[17].end 379.065
transcript.whisperx[17].text 报告委员刚刚讲的那个北美的那个部分是针对YIC的部分那是补助我们去做就是请各个国家对嘛你去请他们提一些好的方案但是已经连续做了很多年这些方案有
transcript.whisperx[18].start 379.825
transcript.whisperx[18].end 403.839
transcript.whisperx[18].text 有了好的方案你们有去用吗有因为这样改善我们台湾的海域相关的情况吗再跟委员说明一下就是因为我们的那些方案都会请这些得奖的人员都会来做分享然后我们会从中启发有一些比较好的一些车你现在讲的话都没有针对我的问题我知道你们办了很多年
transcript.whisperx[19].start 404.079
transcript.whisperx[19].end 420.034
transcript.whisperx[19].text 但是最後主委主委主委您要知道你這個錢花下去它有沒有效益還有我們地方的漁民每年每年反映他們都知道深海那些漁礁都那個流刺網都沒有人去清啊這個問題
transcript.whisperx[20].start 422.817
transcript.whisperx[20].end 451.937
transcript.whisperx[20].text 主委你可不可以跟我保證你未來這一年因為我們馬上也要審預算了你明年度你這一塊你要不要我們海底漁網跟委員報告我們海底漁網清多少噸這個數字是獨立起來的那以今年吧今年來講到目前為止是清了17.85公噸所以非常感謝委員委員以後就給我們督促這個數字有沒有在成長
transcript.whisperx[21].start 452.797
transcript.whisperx[21].end 479.554
transcript.whisperx[21].text 对这个数字是独立起来的数字成长是一个但是我们看着我们的海洋生态还有我们那么多各式各样的鱼类它都因为这个部分它等于是很多鱼就因为这样都被刺死了我们大概顺序上我们顺序上我也期许他们说经费啦你们每年这个经费总经费多少海费的清理每年总经费多少
transcript.whisperx[22].start 480.39
transcript.whisperx[22].end 488.919
transcript.whisperx[22].text 我是不滿意啦一億八全國嘛然後你補助各縣市政府還有你們自己是不是也有
transcript.whisperx[23].start 490.679
transcript.whisperx[23].end 514.769
transcript.whisperx[23].text 還有一個就是我們現在目前有一個海費清除網就是針對剛剛委員講的這樣子的情況如果說比較傷害就是針對比較深一點的我們就會自己下去請專業的人下去清那這個部分呢我主要就是你們可不可以了解有些地方他這個哀哀叫然後你們都不伸出援手這樣不行啊
transcript.whisperx[24].start 518.953
transcript.whisperx[24].end 535.169
transcript.whisperx[24].text 那麻煩新竹縣外海那個我去年好像也有質詢那到今年都沒有人去清15公尺30公尺以下的那還一直都在那主席不好意思最後我再講一題
transcript.whisperx[25].start 536.758
transcript.whisperx[25].end 559.153
transcript.whisperx[25].text 那這一塊我們希望明年能夠看到改善那最後再來一個就是說海域管理法至今懸而未決原因是什麼這個法非常的複雜我們曾經完成過草案然後也送到行政院過但是它涉及的就是說你中央的權限
transcript.whisperx[26].start 560.154
transcript.whisperx[26].end 584.585
transcript.whisperx[26].text 要不要全面把地方的權限收回涉及這個爭議所以到最後我們過去所做的草案的這個路線我們全部就重新盤點那重新盤點以後把各種權限的合理安排做了一個新的架構那跟委員報告我們最新的進度就是這個大綱架構出來了草案出來了
transcript.whisperx[27].start 585.385
transcript.whisperx[27].end 609.133
transcript.whisperx[27].text 那我要求說你大綱架構出來不要直接下去寫條文你從大綱架構就開始做跨部會員商還有做跟民間的溝通那你有沒有期程預計什麼時候出來我們希望明年會有非常具體的成果因為現在我們離岸風電開發模式都是業者先圈海政府被動審查
transcript.whisperx[28].start 610.353
transcript.whisperx[28].end 634.216
transcript.whisperx[28].text 那我们希望我们海域的整个的使用它能够是基于国安还有我们的生态还有各方面整体利益一起来考量所以这个我们的海域管理法我们希望我们希望明年会非常明确能够有这样的一个法出来现在大纲出来了加油加油谢谢