iVOD / 165726

Field Value
IVOD_ID 165726
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165726
日期 2025-11-20
會議資料.會議代碼 委員會-11-4-35-16
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16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 16
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16次全體委員會議
影片種類 Clip
開始時間 2025-11-20T12:31:54+08:00
結束時間 2025-11-20T12:40:38+08:00
影片長度 00:08:44
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/972124280c86b91331839ab23c1d725c50d730950bdd7c8a8603fab3ff6def279a5bb17d61dc6d565ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 邱志偉
委員發言時間 12:31:54 - 12:40:38
會議時間 2025-11-20T09:00:00+08:00
會議名稱 立法院第11屆第4會期外交及國防委員會第16次全體委員會議(事由:邀請外交部部長林佳龍、農業部次長、衛生福利部次長報告「整合國家優勢輸出推動國際合作發展策略與進展」,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.14909375
transcript.pyannote[0].end 2.66346875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 2.79846875
transcript.pyannote[1].end 3.92909375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 10.71284375
transcript.pyannote[2].end 15.75846875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 11.35409375
transcript.pyannote[3].end 11.97846875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 17.22659375
transcript.pyannote[4].end 22.03596875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 22.99784375
transcript.pyannote[5].end 25.27596875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 25.91721875
transcript.pyannote[6].end 26.47409375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 26.79471875
transcript.pyannote[7].end 28.07721875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 28.70159375
transcript.pyannote[8].end 30.99659375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 31.26659375
transcript.pyannote[9].end 31.82346875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 32.38034375
transcript.pyannote[10].end 33.24096875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 33.91596875
transcript.pyannote[11].end 35.26596875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 35.63721875
transcript.pyannote[12].end 35.89034375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 36.61596875
transcript.pyannote[13].end 39.80534375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 40.78409375
transcript.pyannote[14].end 41.45909375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 41.98221875
transcript.pyannote[15].end 43.09596875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 43.31534375
transcript.pyannote[16].end 44.02409375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 44.51346875
transcript.pyannote[17].end 45.89721875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 46.67346875
transcript.pyannote[18].end 47.63534375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 48.66471875
transcript.pyannote[19].end 52.39409375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 52.96784375
transcript.pyannote[20].end 54.19971875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 54.58784375
transcript.pyannote[21].end 55.07721875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 56.07284375
transcript.pyannote[22].end 57.22034375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 58.33409375
transcript.pyannote[23].end 59.98784375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 60.34221875
transcript.pyannote[24].end 62.72159375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 63.37971875
transcript.pyannote[25].end 65.42159375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 65.70846875
transcript.pyannote[26].end 68.64471875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 69.03284375
transcript.pyannote[27].end 69.33659375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 69.48846875
transcript.pyannote[28].end 71.91846875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 72.47534375
transcript.pyannote[29].end 75.51284375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 76.08659375
transcript.pyannote[30].end 79.79909375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 80.94659375
transcript.pyannote[31].end 83.84909375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 84.22034375
transcript.pyannote[32].end 87.83159375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 88.52346875
transcript.pyannote[33].end 90.29534375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 91.89846875
transcript.pyannote[34].end 94.21034375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 94.58159375
transcript.pyannote[35].end 98.46284375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 99.07034375
transcript.pyannote[36].end 99.40784375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 99.57659375
transcript.pyannote[37].end 104.82471875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 105.16221875
transcript.pyannote[38].end 106.52909375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 107.62596875
transcript.pyannote[39].end 108.92534375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 109.75221875
transcript.pyannote[40].end 110.12346875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 111.03471875
transcript.pyannote[41].end 111.96284375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 112.90784375
transcript.pyannote[42].end 114.62909375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 115.08471875
transcript.pyannote[43].end 116.33346875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 117.95346875
transcript.pyannote[44].end 119.80971875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 120.24846875
transcript.pyannote[45].end 121.34534375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 122.17221875
transcript.pyannote[46].end 123.70784375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 124.18034375
transcript.pyannote[47].end 125.15909375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 125.15909375
transcript.pyannote[48].end 127.40346875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 127.79159375
transcript.pyannote[49].end 129.68159375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 130.20471875
transcript.pyannote[50].end 132.34784375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 133.47846875
transcript.pyannote[51].end 135.45284375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 135.46971875
transcript.pyannote[52].end 139.28346875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 139.87409375
transcript.pyannote[53].end 143.99159375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 146.08409375
transcript.pyannote[54].end 146.48909375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 146.48909375
transcript.pyannote[55].end 155.61846875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 146.82659375
transcript.pyannote[56].end 147.31596875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 148.32846875
transcript.pyannote[57].end 154.75784375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 155.82096875
transcript.pyannote[58].end 158.74034375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 159.49971875
transcript.pyannote[59].end 162.87471875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 163.17846875
transcript.pyannote[60].end 167.44784375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 167.80221875
transcript.pyannote[61].end 168.64596875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 169.08471875
transcript.pyannote[62].end 171.44721875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 171.86909375
transcript.pyannote[63].end 173.01659375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 172.39221875
transcript.pyannote[64].end 177.20159375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 176.99909375
transcript.pyannote[65].end 177.77534375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 178.18034375
transcript.pyannote[66].end 178.72034375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 179.49659375
transcript.pyannote[67].end 181.97721875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 179.54721875
transcript.pyannote[68].end 179.96909375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 181.36971875
transcript.pyannote[69].end 184.60971875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 182.28096875
transcript.pyannote[70].end 185.14971875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 185.36909375
transcript.pyannote[71].end 188.98034375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 189.30096875
transcript.pyannote[72].end 189.65534375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 189.90846875
transcript.pyannote[73].end 192.45659375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 193.62096875
transcript.pyannote[74].end 194.02596875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 194.07659375
transcript.pyannote[75].end 196.13534375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 196.42221875
transcript.pyannote[76].end 197.80596875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 199.51034375
transcript.pyannote[77].end 199.98284375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 200.26971875
transcript.pyannote[78].end 201.45096875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 201.83909375
transcript.pyannote[79].end 203.69534375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 204.53909375
transcript.pyannote[80].end 206.96909375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 208.72409375
transcript.pyannote[81].end 209.23034375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 209.16284375
transcript.pyannote[82].end 219.10221875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 219.10221875
transcript.pyannote[83].end 220.14846875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 219.42284375
transcript.pyannote[84].end 231.25221875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 222.35909375
transcript.pyannote[85].end 223.92846875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 232.11284375
transcript.pyannote[86].end 233.19284375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 233.58096875
transcript.pyannote[87].end 234.44159375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 234.81284375
transcript.pyannote[88].end 236.70284375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 235.63971875
transcript.pyannote[89].end 238.82909375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 237.47909375
transcript.pyannote[90].end 237.78284375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 239.11596875
transcript.pyannote[91].end 253.45971875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 241.25909375
transcript.pyannote[92].end 241.61346875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 245.84909375
transcript.pyannote[93].end 246.32159375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 253.93221875
transcript.pyannote[94].end 256.68284375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 257.35784375
transcript.pyannote[95].end 259.85534375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 260.44596875
transcript.pyannote[96].end 262.53846875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 263.56784375
transcript.pyannote[97].end 265.59284375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 266.36909375
transcript.pyannote[98].end 270.01409375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 270.36846875
transcript.pyannote[99].end 273.15284375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 273.18659375
transcript.pyannote[100].end 273.59159375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 273.67596875
transcript.pyannote[101].end 277.84409375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 278.45159375
transcript.pyannote[102].end 282.06284375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 282.38346875
transcript.pyannote[103].end 283.29471875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 283.22721875
transcript.pyannote[104].end 287.14221875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 287.81721875
transcript.pyannote[105].end 289.63971875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 290.34846875
transcript.pyannote[106].end 293.48721875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 294.39846875
transcript.pyannote[107].end 296.44034375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 297.04784375
transcript.pyannote[108].end 303.57846875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 304.01721875
transcript.pyannote[109].end 310.54784375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 310.98659375
transcript.pyannote[110].end 313.11284375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 313.43346875
transcript.pyannote[111].end 314.17596875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 314.53034375
transcript.pyannote[112].end 320.48721875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 320.92596875
transcript.pyannote[113].end 321.38159375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 321.92159375
transcript.pyannote[114].end 326.20784375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 327.16971875
transcript.pyannote[115].end 330.56159375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 331.18596875
transcript.pyannote[116].end 331.45596875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 332.14784375
transcript.pyannote[117].end 334.72971875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 335.25284375
transcript.pyannote[118].end 336.50159375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 336.63659375
transcript.pyannote[119].end 338.17221875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 339.52221875
transcript.pyannote[120].end 340.65284375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 341.53034375
transcript.pyannote[121].end 342.62721875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 341.98596875
transcript.pyannote[122].end 351.45284375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 351.03096875
transcript.pyannote[123].end 354.22034375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 354.96284375
transcript.pyannote[124].end 359.06346875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 359.63721875
transcript.pyannote[125].end 365.10471875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 365.54346875
transcript.pyannote[126].end 371.34846875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 371.68596875
transcript.pyannote[127].end 373.57596875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 374.77409375
transcript.pyannote[128].end 375.06096875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 375.71909375
transcript.pyannote[129].end 377.30534375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 377.74409375
transcript.pyannote[130].end 379.65096875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 379.95471875
transcript.pyannote[131].end 382.65471875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 382.99221875
transcript.pyannote[132].end 384.32534375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 385.59096875
transcript.pyannote[133].end 388.74659375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 389.21909375
transcript.pyannote[134].end 391.15971875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 391.71659375
transcript.pyannote[135].end 395.05784375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 395.85096875
transcript.pyannote[136].end 396.96471875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 398.36534375
transcript.pyannote[137].end 399.64784375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 399.96846875
transcript.pyannote[138].end 402.11159375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 403.36034375
transcript.pyannote[139].end 405.90846875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 406.63409375
transcript.pyannote[140].end 408.38909375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 410.80221875
transcript.pyannote[141].end 410.97096875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 410.97096875
transcript.pyannote[142].end 411.03846875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 412.87784375
transcript.pyannote[143].end 434.05596875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 418.76721875
transcript.pyannote[144].end 421.09596875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 423.69471875
transcript.pyannote[145].end 424.04909375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 431.33909375
transcript.pyannote[146].end 432.43596875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 433.46534375
transcript.pyannote[147].end 437.88659375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 437.48159375
transcript.pyannote[148].end 440.16471875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 438.64596875
transcript.pyannote[149].end 442.13909375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 442.37534375
transcript.pyannote[150].end 449.12534375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 442.74659375
transcript.pyannote[151].end 442.93221875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 443.60721875
transcript.pyannote[152].end 449.26034375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 449.42909375
transcript.pyannote[153].end 454.39034375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 454.84596875
transcript.pyannote[154].end 455.97659375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 454.94721875
transcript.pyannote[155].end 455.06534375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 455.21721875
transcript.pyannote[156].end 475.34909375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 475.34909375
transcript.pyannote[157].end 476.81721875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 475.58534375
transcript.pyannote[158].end 485.67659375
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 483.14534375
transcript.pyannote[159].end 494.18159375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 494.18159375
transcript.pyannote[160].end 494.43471875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 494.24909375
transcript.pyannote[161].end 502.19721875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 502.80471875
transcript.pyannote[162].end 507.93471875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 508.40721875
transcript.pyannote[163].end 514.07721875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 514.80284375
transcript.pyannote[164].end 517.41846875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 517.85721875
transcript.pyannote[165].end 519.27471875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 519.62909375
transcript.pyannote[166].end 520.74284375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 520.99596875
transcript.pyannote[167].end 521.78909375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 521.95784375
transcript.pyannote[168].end 523.96596875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 523.22346875
transcript.pyannote[169].end 523.96596875
transcript.whisperx[0].start 0.31
transcript.whisperx[0].end 1.992
transcript.whisperx[0].text 我昨天大概跟八位維新會的國務委員有見面
transcript.whisperx[1].start 23.475
transcript.whisperx[1].end 47.124
transcript.whisperx[1].text 對台日雙邊關係做一些討論那當然台灣有事 日本有事高市首相在國會的答詢基本上他們也都認為他們都支持就台灣有事 日本有事 台灣沒事 日本沒事這種概念在他們政治圈在國會基本上已經形成一個共識了
transcript.whisperx[2].start 48.76
transcript.whisperx[2].end 57.054
transcript.whisperx[2].text 所以代表說日台關係非常的密切不管是民間 經濟 或者是政治
transcript.whisperx[3].start 58.836
transcript.whisperx[3].end 79.389
transcript.whisperx[3].text 從這邊來看這個未來這個台日的雙邊的這個政務間的交流包括國會的交流政務間的這個交流能不能可能再提升的空間比如說這個台灣保證實施法案在美國通過眾議院大概五月六月就通過了
transcript.whisperx[4].start 81.004
transcript.whisperx[4].end 108.886
transcript.whisperx[4].text 那這個參議院也通過就等川普總統簽署就生效所以他是打破過去的紅線未來更高層級的這個台美雙邊的官員互動會變成常態化那這個也確保說這個雙方的台美關係不會受到影響不會受到停滯對話管道也通暢台日之間有沒有可能
transcript.whisperx[5].start 111.094
transcript.whisperx[5].end 132.063
transcript.whisperx[5].text 我們來努力看看我覺得我們跟大臣大概有困難那你這個層級可以直接見到美國的部長嗎現在 如果這個法案通過之後是說美國還是日本美國啦 美國 通過之後川普總統簽署之後你能不能直接見到美國相關的部長
transcript.whisperx[6].start 134.371
transcript.whisperx[6].end 158.292
transcript.whisperx[6].text 這個應該是大家努力的方向應該沒有問題 因為有這個法案作為支撐那你現在去日本是沒有辦法接到大臣的很多都老朋友 該見面都會見面有些是涉及到公開或私下各種不同的互動關係台北不一樣 台北是可以到公開
transcript.whisperx[7].start 159.574
transcript.whisperx[7].end 188.652
transcript.whisperx[7].text 那我們去要見大臣啦雖然他也是國會議員我們見大臣也有目前有一些的限制不成文的規定默契啦但是如果不公開也許可以啦那以前我覺得日本也有在討論要制定台灣旅行法或是台灣關係法有在討論嗎有啊這個也是那個所以我期待說他們很多國會議員在努力的方向台日雙邊的互動的官方互動可以跟美國一樣
transcript.whisperx[8].start 189.392
transcript.whisperx[8].end 206.479
transcript.whisperx[8].text 因為美國跟日本是台灣最重要的友邦這個日本在地緣政治地緣經濟是命運共同體所以才會有所謂這個台灣有事日本有事這不是一個口號這是實際上的狀況
transcript.whisperx[9].start 208.789
transcript.whisperx[9].end 230.822
transcript.whisperx[9].text 所以 我跟委員講 其實我們不要被中共制約嘛就是說他有邦交我們沒邦交 為什麼沒邦交的國家政府不能正常的往來就像在打仗的國家也都可以談判一樣啊所以我認為那是過去中共喔 他的一個就是說不斷造成的一個 可以說
transcript.whisperx[10].start 232.165
transcript.whisperx[10].end 256.452
transcript.whisperx[10].text 有他在所謂一中的政策之下就不能怎麼樣你講的我都同意啦我們要努力就是說在現有的框架之下打破來強化廣化跟日本官方的交流啦地方政府沒有問題我說中央層級大層副大層我們目前去私底下可能可以見到但公開他們也覺得有過去的默契
transcript.whisperx[11].start 257.423
transcript.whisperx[11].end 281.664
transcript.whisperx[11].text 那未來這個台日雙邊關係只有更深化還是要更深化所以我大概兩三個月就會拜訪國會這個各主要的這個黨派對台日雙邊關係做一些的討論那之前我在這邊也請教過部長就是說小多邊的概念你也提出來在你的報告裡面
transcript.whisperx[12].start 282.898
transcript.whisperx[12].end 293.003
transcript.whisperx[12].text 謝謝委員 安全上面是美日韓非呀這未來是不是有可能他們在軍演什麼或者是在聯合演習
transcript.whisperx[13].start 294.448
transcript.whisperx[13].end 320.26
transcript.whisperx[13].text 台灣要努力成為觀察員那種多邊的這個架構裡面台灣好像在哪一個多邊架構有一個觀察員我說這個安全演習的部分未來台灣這個台海最重要的幾個夥伴就是美國日本跟韓國加上這個在東南亞的這個菲律賓所以這部分美日韓非怎麼樣讓這個小多邊能夠更加強化這個安全議題上面
transcript.whisperx[14].start 321.004
transcript.whisperx[14].end 338.008
transcript.whisperx[14].text 另外台美 台灣 韓國跟日本更能夠三邊關係我覺得是一個命運共同體的概念如果南韓未來有一天說南韓有事 台灣有事就是南韓有事
transcript.whisperx[15].start 340.031
transcript.whisperx[15].end 354.08
transcript.whisperx[15].text 這個可能發生啊這已經列入現在川普跟李在寧總統的聲明裡面了認為那個就是fact sheet那個事實文件裡面台海的問題不可能不影響到南韓嘛
transcript.whisperx[16].start 355.014
transcript.whisperx[16].end 384.117
transcript.whisperx[16].text 但是他們也知道這個事實但沒有辦法從他們的首相或者他們領導人這個嘴巴裡面說出來所以像台灣有事 日本有事這個是大家都朗朗上口這個日本政績大家都有默契跟共識那民間也是這樣認為那南韓不敢講他們認為說這個講出來可能會顧及到中國的因素這是我們要努力的方向
transcript.whisperx[17].start 385.689
transcript.whisperx[17].end 408.282
transcript.whisperx[17].text 所以台日韓三邊關係啊三國的互動非常密切那上次我請教過你這2加2台韓的2加2戰略的話目前有沒有進度呢是亞太斯亞太斯有沒有進度那您來我辦公室也開過好幾次會我下個月還會再去看一下這個也開過好幾次會到底有沒有進度啦
transcript.whisperx[18].start 413.636
transcript.whisperx[18].end 439.853
transcript.whisperx[18].text 這個目前還沒有具體的進展應該這樣但是不管雙邊的2加2或小多邊的2加2去編織一個網格狀的安全架構那就是部分就是您講的小多邊因為我們目前大概跟美國都有雙邊的關係可是呢美國也企圖啦把它連結起來變成我打三年的話多邊是由好幾組雙邊所組成的這叫網格狀的一個安全架構台韓在加強
transcript.whisperx[19].start 442.435
transcript.whisperx[19].end 469.051
transcript.whisperx[19].text 有點線面啦 把它串起來因為第一島鏈也是一個單一戰場很多大概都有這個認識但是我覺得在這個外交部這個作案代表處也要強化有一些惡鬼外交 您也知道包括國會議員在開始進行的或者是說1.5軌或是不是可以到1軌我想這個都是在國家的利益那我也要特別提到其實他們也是據他們國家的利益
transcript.whisperx[20].start 469.611
transcript.whisperx[20].end 486.2
transcript.whisperx[20].text 不能夠沒有台灣啦因為台灣如果變缺口的話整個印太戰略就垮掉了嘛第一島鏈就變成中共可以啊到太平洋嘛我們守我們的位置他們也知道我們的重要性有些東西只能做不能說部長你講的我都同意我的結論很簡單
transcript.whisperx[21].start 488.661
transcript.whisperx[21].end 512.527
transcript.whisperx[21].text 有交流才有對話有對話才有可能有合作的機會對不對對才有理念這個分享或者是價值觀的分享或者是這個這些這個戰略或戰術對話等等所以我說的是我自然在努力國會有國會努力的方向跟目標但是行政部門外交部也要責成諸行代表署要加強把這個2加2
transcript.whisperx[22].start 514.844
transcript.whisperx[22].end 522.517
transcript.whisperx[22].text 把這個戰略對話整個架構把它建立起來那我們這邊來助攻你們這邊來規劃我們一起努力好不好好 謝謝