iVOD / 168139

Field Value
IVOD_ID 168139
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168139
日期 2026-04-01
會議資料.會議代碼 委員會-11-5-35-6
會議資料.會議代碼:str 第11屆第5會期外交及國防委員會第6次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 6
會議資料.種類 委員會
會議資料.委員會代碼[0] 35
會議資料.委員會代碼:str[0] 外交及國防委員會
會議資料.標題 第11屆第5會期外交及國防委員會第6次全體委員會議
影片種類 Clip
開始時間 2026-04-01T11:26:23+08:00
結束時間 2026-04-01T11:36:47+08:00
影片長度 00:10:24
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6ae3a98a11df106cf11d5dd2fc61cb88bad885c3c28ba2b2afe627a357cd2d7fbf58e434f61d1a005ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 洪孟楷
委員發言時間 11:26:23 - 11:36:47
會議時間 2026-04-01T09:00:00+08:00
會議名稱 立法院第11屆第5會期外交及國防委員會第6次全體委員會議(事由:邀請外交部部長林佳龍報告「台馬 ECA生效後之經貿效益分析及台吐、台帛氣候防護合作成效」,併請經濟部、財政部、農業部列席,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 1.56659375
transcript.pyannote[0].end 3.35534375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 3.67596875
transcript.pyannote[1].end 4.57034375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 5.26221875
transcript.pyannote[2].end 5.93721875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 10.64534375
transcript.pyannote[3].end 12.09659375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 12.45096875
transcript.pyannote[4].end 20.82096875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 21.09096875
transcript.pyannote[5].end 22.22159375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 22.49159375
transcript.pyannote[6].end 25.81596875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 26.89596875
transcript.pyannote[7].end 40.73346875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 41.40846875
transcript.pyannote[8].end 43.07909375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 43.11284375
transcript.pyannote[9].end 47.60159375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 47.87159375
transcript.pyannote[10].end 53.94659375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 54.50346875
transcript.pyannote[11].end 58.03034375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 58.24971875
transcript.pyannote[12].end 68.02034375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 68.71221875
transcript.pyannote[13].end 83.03909375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 83.62971875
transcript.pyannote[14].end 84.43971875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 83.95034375
transcript.pyannote[15].end 85.11471875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 85.11471875
transcript.pyannote[16].end 85.14846875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 85.14846875
transcript.pyannote[17].end 85.16534375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 85.16534375
transcript.pyannote[18].end 86.02596875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 86.02596875
transcript.pyannote[19].end 86.12721875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 86.12721875
transcript.pyannote[20].end 86.14409375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 86.14409375
transcript.pyannote[21].end 86.16096875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 86.16096875
transcript.pyannote[22].end 86.17784375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 86.61659375
transcript.pyannote[23].end 86.68409375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 86.68409375
transcript.pyannote[24].end 90.04221875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 90.98721875
transcript.pyannote[25].end 92.28659375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 92.28659375
transcript.pyannote[26].end 92.32034375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 93.38346875
transcript.pyannote[27].end 93.41721875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 93.41721875
transcript.pyannote[28].end 93.48471875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 93.48471875
transcript.pyannote[29].end 93.50159375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 93.50159375
transcript.pyannote[30].end 93.51846875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 93.67034375
transcript.pyannote[31].end 93.73784375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 93.73784375
transcript.pyannote[32].end 95.10471875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 93.92346875
transcript.pyannote[33].end 94.49721875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 95.23971875
transcript.pyannote[34].end 102.05721875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 102.61409375
transcript.pyannote[35].end 105.02721875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 105.71909375
transcript.pyannote[36].end 110.46096875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 111.22034375
transcript.pyannote[37].end 111.72659375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 112.65471875
transcript.pyannote[38].end 121.15971875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 120.02909375
transcript.pyannote[39].end 123.01596875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 122.22284375
transcript.pyannote[40].end 128.78721875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 128.87159375
transcript.pyannote[41].end 129.59721875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 129.93471875
transcript.pyannote[42].end 134.33909375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 135.35159375
transcript.pyannote[43].end 136.46534375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 138.03471875
transcript.pyannote[44].end 140.58284375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 140.65034375
transcript.pyannote[45].end 143.55284375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 144.14346875
transcript.pyannote[46].end 146.97846875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 147.38346875
transcript.pyannote[47].end 151.77096875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 152.68221875
transcript.pyannote[48].end 154.42034375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 155.39909375
transcript.pyannote[49].end 159.58409375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 157.99784375
transcript.pyannote[50].end 160.03971875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 160.24221875
transcript.pyannote[51].end 160.96784375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 160.96784375
transcript.pyannote[52].end 161.60909375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 161.60909375
transcript.pyannote[53].end 161.84534375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 161.84534375
transcript.pyannote[54].end 161.91284375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 161.91284375
transcript.pyannote[55].end 166.77284375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 162.40221875
transcript.pyannote[56].end 164.54534375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 165.16971875
transcript.pyannote[57].end 172.37534375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 173.79284375
transcript.pyannote[58].end 176.08784375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 174.29909375
transcript.pyannote[59].end 175.44659375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 176.61096875
transcript.pyannote[60].end 180.54284375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 181.04909375
transcript.pyannote[61].end 182.44971875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 182.95596875
transcript.pyannote[62].end 184.72784375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 185.94284375
transcript.pyannote[63].end 186.46596875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 186.83721875
transcript.pyannote[64].end 189.03096875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 190.68471875
transcript.pyannote[65].end 190.97159375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 190.97159375
transcript.pyannote[66].end 191.02221875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 191.89971875
transcript.pyannote[67].end 191.93346875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 191.93346875
transcript.pyannote[68].end 202.36221875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 198.91971875
transcript.pyannote[69].end 199.24034375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 202.51409375
transcript.pyannote[70].end 218.76471875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 205.28159375
transcript.pyannote[71].end 205.29846875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 205.51784375
transcript.pyannote[72].end 205.56846875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 213.48284375
transcript.pyannote[73].end 236.66909375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 237.15846875
transcript.pyannote[74].end 240.16221875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 240.68534375
transcript.pyannote[75].end 241.10721875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 241.86659375
transcript.pyannote[76].end 245.79846875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 246.91221875
transcript.pyannote[77].end 252.86909375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 247.01346875
transcript.pyannote[78].end 252.85221875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 252.86909375
transcript.pyannote[79].end 253.64534375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 253.64534375
transcript.pyannote[80].end 258.20159375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 258.45471875
transcript.pyannote[81].end 259.48409375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 259.99034375
transcript.pyannote[82].end 262.01534375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 262.80846875
transcript.pyannote[83].end 263.73659375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 264.74909375
transcript.pyannote[84].end 267.55034375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 268.17471875
transcript.pyannote[85].end 282.41721875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 282.85596875
transcript.pyannote[86].end 291.02346875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 283.04159375
transcript.pyannote[87].end 284.76284375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 285.26909375
transcript.pyannote[88].end 285.75846875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 287.93534375
transcript.pyannote[89].end 298.61721875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 299.07284375
transcript.pyannote[90].end 300.22034375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 300.42284375
transcript.pyannote[91].end 303.49409375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 303.64596875
transcript.pyannote[92].end 311.50971875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 311.76284375
transcript.pyannote[93].end 315.74534375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 317.14596875
transcript.pyannote[94].end 322.73159375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 323.11971875
transcript.pyannote[95].end 324.73971875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 325.76909375
transcript.pyannote[96].end 331.37159375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 332.13096875
transcript.pyannote[97].end 340.41659375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 341.51346875
transcript.pyannote[98].end 344.55096875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 344.66909375
transcript.pyannote[99].end 348.66846875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 349.73159375
transcript.pyannote[100].end 351.03096875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 351.53721875
transcript.pyannote[101].end 356.02596875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 356.98784375
transcript.pyannote[102].end 360.75096875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 361.18971875
transcript.pyannote[103].end 364.22721875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 365.54346875
transcript.pyannote[104].end 373.84596875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 371.23034375
transcript.pyannote[105].end 373.91346875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 373.91346875
transcript.pyannote[106].end 374.28471875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 374.28471875
transcript.pyannote[107].end 374.97659375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 374.97659375
transcript.pyannote[108].end 375.02721875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 375.02721875
transcript.pyannote[109].end 375.04409375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 375.04409375
transcript.pyannote[110].end 375.06096875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 375.06096875
transcript.pyannote[111].end 376.59659375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 375.31409375
transcript.pyannote[112].end 383.02596875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 383.78534375
transcript.pyannote[113].end 384.12284375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 385.27034375
transcript.pyannote[114].end 386.73846875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 387.19409375
transcript.pyannote[115].end 388.42596875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 388.71284375
transcript.pyannote[116].end 392.67846875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 393.21846875
transcript.pyannote[117].end 401.72346875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 402.61784375
transcript.pyannote[118].end 406.19534375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 407.25846875
transcript.pyannote[119].end 408.69284375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 409.14846875
transcript.pyannote[120].end 417.06284375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 417.95721875
transcript.pyannote[121].end 421.21409375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 421.46721875
transcript.pyannote[122].end 434.00534375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 434.51159375
transcript.pyannote[123].end 435.16971875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 437.54909375
transcript.pyannote[124].end 439.18596875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 439.38846875
transcript.pyannote[125].end 441.10971875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 441.58221875
transcript.pyannote[126].end 442.10534375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 442.49346875
transcript.pyannote[127].end 443.94471875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 444.50159375
transcript.pyannote[128].end 446.64471875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 447.11721875
transcript.pyannote[129].end 449.12534375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 449.12534375
transcript.pyannote[130].end 449.14221875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 450.27284375
transcript.pyannote[131].end 450.30659375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 450.30659375
transcript.pyannote[132].end 450.69471875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 452.24721875
transcript.pyannote[133].end 458.81159375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 458.81159375
transcript.pyannote[134].end 458.86221875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 458.86221875
transcript.pyannote[135].end 458.89596875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 459.13221875
transcript.pyannote[136].end 459.18284375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 459.18284375
transcript.pyannote[137].end 460.92096875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 462.65909375
transcript.pyannote[138].end 464.49846875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 464.95409375
transcript.pyannote[139].end 468.32909375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 468.80159375
transcript.pyannote[140].end 471.24846875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 471.75471875
transcript.pyannote[141].end 472.78409375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 473.56034375
transcript.pyannote[142].end 474.31971875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 474.69096875
transcript.pyannote[143].end 478.47096875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 479.77034375
transcript.pyannote[144].end 481.03596875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 481.03596875
transcript.pyannote[145].end 481.50846875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 482.25096875
transcript.pyannote[146].end 484.64721875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 485.17034375
transcript.pyannote[147].end 487.63409375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 488.22471875
transcript.pyannote[148].end 504.12096875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 490.68846875
transcript.pyannote[149].end 490.89096875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 497.18534375
transcript.pyannote[150].end 497.21909375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 497.23596875
transcript.pyannote[151].end 502.58534375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 502.66971875
transcript.pyannote[152].end 502.70346875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 503.00721875
transcript.pyannote[153].end 516.03471875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 516.30471875
transcript.pyannote[154].end 517.90784375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 518.80221875
transcript.pyannote[155].end 522.88596875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 523.29096875
transcript.pyannote[156].end 529.18034375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 529.70346875
transcript.pyannote[157].end 531.61034375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 532.67346875
transcript.pyannote[158].end 542.42721875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 543.89534375
transcript.pyannote[159].end 544.11471875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 544.11471875
transcript.pyannote[160].end 544.16534375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 544.16534375
transcript.pyannote[161].end 544.23284375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 544.23284375
transcript.pyannote[162].end 544.28346875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 544.28346875
transcript.pyannote[163].end 544.65471875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 544.65471875
transcript.pyannote[164].end 544.82346875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 544.82346875
transcript.pyannote[165].end 544.84034375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 544.84034375
transcript.pyannote[166].end 544.87409375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 544.87409375
transcript.pyannote[167].end 544.94159375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 544.94159375
transcript.pyannote[168].end 544.99221875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 544.99221875
transcript.pyannote[169].end 545.02596875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 545.02596875
transcript.pyannote[170].end 553.63221875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 545.81909375
transcript.pyannote[171].end 547.59096875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 553.63221875
transcript.pyannote[172].end 554.02034375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 554.02034375
transcript.pyannote[173].end 566.74409375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 554.03721875
transcript.pyannote[174].end 557.61471875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 566.74409375
transcript.pyannote[175].end 566.77784375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 568.07721875
transcript.pyannote[176].end 568.09409375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 568.09409375
transcript.pyannote[177].end 570.87846875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 571.46909375
transcript.pyannote[178].end 573.89909375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 574.35471875
transcript.pyannote[179].end 581.12159375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 581.84721875
transcript.pyannote[180].end 600.24096875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 600.69659375
transcript.pyannote[181].end 602.02971875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 603.29534375
transcript.pyannote[182].end 605.32034375
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 606.16409375
transcript.pyannote[183].end 607.91909375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 608.03721875
transcript.pyannote[184].end 613.35284375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 613.65659375
transcript.pyannote[185].end 616.33971875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 619.14096875
transcript.pyannote[186].end 619.49534375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 621.46971875
transcript.pyannote[187].end 622.56659375
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 623.69721875
transcript.pyannote[188].end 625.08096875
transcript.whisperx[0].start 1.861
transcript.whisperx[0].end 24.863
transcript.whisperx[0].text 主席謝謝 麻煩請林部長部長好 本席在這邊也跟剛剛馬文君委員還有很多委員共同關心都一樣先講 我覺得很為我們外交部同仁報不平也為我們朝野委員在過去這段時間裡面
transcript.whisperx[1].start 26.923
transcript.whisperx[1].end 53.256
transcript.whisperx[1].text 大有為的政府告訴我們是說萊豬一定要進口如果沒有進口的話會有設定這個障礙沒有辦法加入CPTPP2021年那時候陳吉仲 王美花都跳出來講是說這個是一個很嚴重的障礙好 通過之後從2021年到現在2026年這四年多很多外交場合跟很多我們外交部的同仁我們只要接見或者是說出去參訪
transcript.whisperx[2].start 55.257
transcript.whisperx[2].end 82.873
transcript.whisperx[2].text 國際的議會的議員我們也都講啊外交部提供給我們委員的談餐也都講說拜託最後一定要寫一定要講請貴國政府支持我們中華民國加入CPTPP所以外交部我們委員不分朝野藍綠大家都希望能夠把握每一個機會發言甚至我剛剛也看到英國這兩天也有代表團來然後外交部長也有跟他們希望能夠加入CPTPP嘛
transcript.whisperx[3].start 83.96
transcript.whisperx[3].end 111.311
transcript.whisperx[3].text 對 九個國會議員那結果CPTPP主要推動主責的單位是誰行政院經貿談判辦公室那行政院經貿談判辦公室居然有我們一位高階的文官 嚴慧心女士她在最後 其實她的辭職信看完之後你真的覺得是說她是保留她最後文官的尊嚴一個
transcript.whisperx[4].start 112.728
transcript.whisperx[4].end 136.176
transcript.whisperx[4].text 高考及格在政府單位裡面做了幾十年的文官並且他的父親也是我們過去很資深的一個官結果到最後居然變成是說他要要辭職的時候他要把他的這些大白話給講出來然後講消極敷衍沒有具體的計畫沒有具體的時程外交部之前知道嗎
transcript.whisperx[5].start 138.086
transcript.whisperx[5].end 154.242
transcript.whisperx[5].text 我們外交部該做的我們都全力以赴所以外交部之前也不知道說經貿辦事處到底在幹嘛我們只知道是說只要面對到每一個國際單位面對到各國代表來我們都要講CPTPP到最後好像變成是西反社士嘛
transcript.whisperx[6].start 155.438
transcript.whisperx[6].end 184.295
transcript.whisperx[6].text 那但是外交部也不知道說經貿辦公室根本沒有具體的計畫經貿談判策略要有OTN所以看來部長你也不清楚嘛所以你也不用幫他們背書嘛但是看起來就是我覺得今天我一定要用這個機會再幫我們外交部同仁報部評應該主責負責的單位沒有具體的計畫沒有具體的時程沒有具體的成果敷衍消極然後我們其他人在前面衝
transcript.whisperx[7].start 185.967
transcript.whisperx[7].end 212.009
transcript.whisperx[7].text 不覺得很莫名其妙嗎 政府還是被一體打部長我們外交部啊 比如說派三個次長啊到達澳大利亞 日本跟英國去交涉因為這三個國家最重要嘛之前的主席國是加拿大 我們也全力在溝通可是我剛剛講說因為上位的談判策略啊因為這不是一般的經貿談判 因為涉及到政治因為中國的因素所以這個時候怎麼樣去
transcript.whisperx[8].start 213.49
transcript.whisperx[8].end 240.898
transcript.whisperx[8].text 所以我們只要講的是我們到目前為止都肯定我們外交部的同仁所以我講是說過去這四年我們朝野委員也都很努力你們給我們的談餐我幾乎都有留著每一次的最後一定都講尤其是我們日本的國會議員來最後一定都有一整頁寫說請拜託委員不分朝野藍綠都要跟日本的國會議員美國國會議員拜託他們支持中華民國加入CPTPP但是
transcript.whisperx[9].start 241.929
transcript.whisperx[9].end 261.883
transcript.whisperx[9].text 降帥無能累死三軍阿阿外交部現在也被累死阿來啦 阿現在遇到一個奧克蘭三人車走去突圍阿現在講你這邊可以掌握的狀況我們是也有一些進展啦那當然大戰略還是要整體阿是啊那現在就是沒有戰略阿所以消極敷衍嘛來 部長現在講你可以掌握的狀況啦駐美代表
transcript.whisperx[10].start 264.79
transcript.whisperx[10].end 282.249
transcript.whisperx[10].text 他2024年已經發生過一次爭議了那當時我記得外交國防委員會我們也有要求是說那他是不是回來這個每一年每半年這些代表其實也都有回國報告的狀況的時候能不能來外交國防委員會當時沒有讓他回來嘛
transcript.whisperx[11].start 282.91
transcript.whisperx[11].end 308.859
transcript.whisperx[11].text 那到現在2026年 因為那個遲號剛好正在進行一些我想對美...那沒關係 我覺得部長 我很持平地來看我對這個駐美代表完全不認識但我覺得空穴不來風還有以我對於民進黨政府說實在的話我們國人也一定程度了解如果今天這個駐美代表再被爆出說霸凌再被爆出說換20個傭人的這些事件
transcript.whisperx[12].start 311.92
transcript.whisperx[12].end 340.075
transcript.whisperx[12].text 如果說不是事實或說沒有事實基礎的話你們早就已經講說這個是中共的陰謀啦這是假訊息啦這是認知作戰啦但到目前為止沒有欸到目前為止沒有人講說這個不是事實欸你們只講說會再調查會再了解欸我覺得這很嚴重 為什麼部長我跟你很持平很客觀我們黨派不同但是很嚴重的是因為駐美代表代表我們中華民國
transcript.whisperx[13].start 341.564
transcript.whisperx[13].end 363.274
transcript.whisperx[13].text 他就是最重要的一個溝通管道如果說他在那邊天高皇帝遠作威作福然後吃香喝辣我覺得美國人也沒有辦法接受啊怎麼會中華民國你們派來一個官員是這個樣子那你不要跟我講說什麼過去這個美國傭人不好找那如果這樣的話蕭美琴駐美代表以前有換20個傭人嗎
transcript.whisperx[14].start 365.592
transcript.whisperx[14].end 382.563
transcript.whisperx[14].text 以前馬政府時代的時候最有名我們金補充代表有換20個傭人嗎沒有啊那一樣都是在北投那為什麼 因為那個都是網路跟媒體轉傳有待查證你看有待查證嘛你也不敢講不是假消息你也不敢講認知作戰嘛就是因為我太了解你們了嘛我們
transcript.whisperx[15].start 385.325
transcript.whisperx[15].end 406.01
transcript.whisperx[15].text 知道是好事我們說不算如果說今天真的沒有任何的事實基礎的話早就府 院 黨 青鳥 測疫 網軍全部出來講這個是認真作戰 這個是假消息不要陷入中共的陷阱但在這一次沒有而已經被爆第二次
transcript.whisperx[16].start 407.344
transcript.whisperx[16].end 434.89
transcript.whisperx[16].text 所以現在有媒體才講是說如果他現在沒有辦法短時間回來接受外交國防委員會接受立法院的質詢能不能用視訊能不能好好的請他也面對國內的媒體他自己出來否認自清反駁讓我們知道是說所有的外交同仁在國外也都是為我們中華民國努力捍衛而不是做威做福吃香喝辣有可能嗎
transcript.whisperx[17].start 437.608
transcript.whisperx[17].end 460.538
transcript.whisperx[17].text 可不可以下一次 我想如果說可以的話 召委絕對不會反對我們下一次就馬上就排外交國防委員會可不可以用視訊的方式來跟駐美代表來去做一個了解行嗎這可能要根據立法委員行使法還有有關於相關的規定部長你做過立法委員你算是我們立法院的學長
transcript.whisperx[18].start 462.691
transcript.whisperx[18].end 481.289
transcript.whisperx[18].text 你當時也是在野黨的委員如果說現在一個執政黨的駐美代表已經連兩次爆發這樣的事件那為什麼不是報駐日代表為什麼不是報駐泰代表為什麼不是報駐新代表那尤其美國又最重要
transcript.whisperx[19].start 482.338
transcript.whisperx[19].end 500.176
transcript.whisperx[19].text 其實報告委員 其實網路傳的這幾件事情以前都報過了只是現在把它又放在一起了當然我們還是要去釐清我們也鼓勵正式的申訴如果不放心 我個人的心想我現在是很無奈的笑因為你這樣講是什麼 死豬不怕開水燙
transcript.whisperx[20].start 502.679
transcript.whisperx[20].end 531.122
transcript.whisperx[20].text 了解 就已經報了 報第一次 大家重視2024年很重視 第二次 欸 第三次 欸 第四次啊沒關係啦 都報過了啦所以我成不成見也沒關係反正駐美代表天高皇帝遠啊那他想怎麼樣吃香喝辣那就我沒意見啊我部長都自己都在國內都不敢這樣子了結果一個駐美代表在那邊可以這樣然後傳的風風火火傳的真的就像是鉅細迷離也沒有辦法澄清也沒有辦法致親
transcript.whisperx[21].start 532.708
transcript.whisperx[21].end 541.874
transcript.whisperx[21].text 我不要冤枉任何人啊但現在連讓他自己面對媒體面對國人說明說他沒有這樣的事情也都不敢也都不肯也都不願意嗎
transcript.whisperx[22].start 543.939
transcript.whisperx[22].end 566.416
transcript.whisperx[22].text 不會說不願意啦應該是願意啦我想如果適當的方式人家外界的質疑說明那應該是要來說明部長你也很無奈嘛那方式我想就是說因為傳起來 那個也不是你的人嘛過去傳過啦當然有些是大家現在把它放在一起那我想委員或是有這個關切我們都應該要加以說明部長時間到但是我真的很與眾心長啦
transcript.whisperx[23].start 572.09
transcript.whisperx[23].end 580.877
transcript.whisperx[23].text 講這麼多我只想強調的是外交部的同仁我對外交部的同仁我其實有多一份的尊重跟多一份的
transcript.whisperx[24].start 581.892
transcript.whisperx[24].end 605.057
transcript.whisperx[24].text 包容是因為我國的外交處境都不容易但就正因為如此如果有任何人站在那麼重要的位置他可以在吃香喝辣可以這樣子用職務來霸凌然後只仗著說他是誰的人只仗著說他跟誰派系好然後誰都管不到我覺得這樣子真的是中華民國悲哀
transcript.whisperx[25].start 606.209
transcript.whisperx[25].end 616.639
transcript.whisperx[25].text 我也不樂見這樣的狀況那我更不希望是說讓媒體報導說好像變成是外交部長管不動一個駐美代表因為那個駐美代表老闆根本不是外交部長部長真的加油啦謝謝好 謝謝