iVOD / 167428

Field Value
IVOD_ID 167428
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/167428
日期 2026-03-03
會議資料.會議代碼 院會-11-5-1
會議資料.會議代碼:str 第11屆第5會期第1次會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 1
會議資料.種類 院會
會議資料.標題 第11屆第5會期第1次會議
影片種類 Clip
開始時間 2026-03-03T15:19:30+08:00
結束時間 2026-03-03T15:35:28+08:00
影片長度 00:15:58
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1MClips/321e35c043cc325b8d95b7e5bda7242005351cf5c593b4e37bb6fd4edd6f580a15f464262b5c365e5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 吳宗憲
委員發言時間 15:19:30 - 15:35:28
會議時間 2026-03-03T09:00:00+08:00
會議名稱 第11屆第5會期第1次會議(事由:一、行政院院長提出施政方針及施政報告並備質詢(2月24日下午)。二、行政院院長提出臺美關稅談判結果及其影響專案報告並備質詢(3月3日)。)
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 2.02221875
transcript.pyannote[1].speaker SPEAKER_05
transcript.pyannote[1].start 12.24846875
transcript.pyannote[1].end 12.48471875
transcript.pyannote[2].speaker SPEAKER_05
transcript.pyannote[2].start 13.63221875
transcript.pyannote[2].end 15.03284375
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 15.03284375
transcript.pyannote[3].end 15.25221875
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 16.07909375
transcript.pyannote[4].end 17.14221875
transcript.pyannote[5].speaker SPEAKER_04
transcript.pyannote[5].start 18.61034375
transcript.pyannote[5].end 18.77909375
transcript.pyannote[6].speaker SPEAKER_05
transcript.pyannote[6].start 25.98471875
transcript.pyannote[6].end 26.89596875
transcript.pyannote[7].speaker SPEAKER_04
transcript.pyannote[7].start 26.11971875
transcript.pyannote[7].end 26.65971875
transcript.pyannote[8].speaker SPEAKER_05
transcript.pyannote[8].start 28.41471875
transcript.pyannote[8].end 35.01284375
transcript.pyannote[9].speaker SPEAKER_05
transcript.pyannote[9].start 35.55284375
transcript.pyannote[9].end 38.65784375
transcript.pyannote[10].speaker SPEAKER_05
transcript.pyannote[10].start 39.02909375
transcript.pyannote[10].end 41.94846875
transcript.pyannote[11].speaker SPEAKER_05
transcript.pyannote[11].start 42.40409375
transcript.pyannote[11].end 43.77096875
transcript.pyannote[12].speaker SPEAKER_05
transcript.pyannote[12].start 44.20971875
transcript.pyannote[12].end 49.18784375
transcript.pyannote[13].speaker SPEAKER_05
transcript.pyannote[13].start 49.47471875
transcript.pyannote[13].end 50.95971875
transcript.pyannote[14].speaker SPEAKER_05
transcript.pyannote[14].start 51.16221875
transcript.pyannote[14].end 53.62596875
transcript.pyannote[15].speaker SPEAKER_05
transcript.pyannote[15].start 54.14909375
transcript.pyannote[15].end 56.08971875
transcript.pyannote[16].speaker SPEAKER_05
transcript.pyannote[16].start 56.29221875
transcript.pyannote[16].end 60.10596875
transcript.pyannote[17].speaker SPEAKER_05
transcript.pyannote[17].start 60.32534375
transcript.pyannote[17].end 64.99971875
transcript.pyannote[18].speaker SPEAKER_05
transcript.pyannote[18].start 65.32034375
transcript.pyannote[18].end 69.97784375
transcript.pyannote[19].speaker SPEAKER_05
transcript.pyannote[19].start 70.04534375
transcript.pyannote[19].end 72.05346875
transcript.pyannote[20].speaker SPEAKER_05
transcript.pyannote[20].start 72.44159375
transcript.pyannote[20].end 76.17096875
transcript.pyannote[21].speaker SPEAKER_05
transcript.pyannote[21].start 76.54221875
transcript.pyannote[21].end 80.62596875
transcript.pyannote[22].speaker SPEAKER_05
transcript.pyannote[22].start 80.96346875
transcript.pyannote[22].end 81.72284375
transcript.pyannote[23].speaker SPEAKER_05
transcript.pyannote[23].start 82.09409375
transcript.pyannote[23].end 84.37221875
transcript.pyannote[24].speaker SPEAKER_05
transcript.pyannote[24].start 84.74346875
transcript.pyannote[24].end 87.88221875
transcript.pyannote[25].speaker SPEAKER_05
transcript.pyannote[25].start 87.94971875
transcript.pyannote[25].end 91.25721875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 89.77221875
transcript.pyannote[26].end 90.29534375
transcript.pyannote[27].speaker SPEAKER_05
transcript.pyannote[27].start 92.21909375
transcript.pyannote[27].end 94.29471875
transcript.pyannote[28].speaker SPEAKER_05
transcript.pyannote[28].start 94.73346875
transcript.pyannote[28].end 97.04534375
transcript.pyannote[29].speaker SPEAKER_05
transcript.pyannote[29].start 97.46721875
transcript.pyannote[29].end 100.45409375
transcript.pyannote[30].speaker SPEAKER_05
transcript.pyannote[30].start 100.84221875
transcript.pyannote[30].end 102.39471875
transcript.pyannote[31].speaker SPEAKER_05
transcript.pyannote[31].start 102.51284375
transcript.pyannote[31].end 103.59284375
transcript.pyannote[32].speaker SPEAKER_05
transcript.pyannote[32].start 104.04846875
transcript.pyannote[32].end 108.08159375
transcript.pyannote[33].speaker SPEAKER_04
transcript.pyannote[33].start 106.05659375
transcript.pyannote[33].end 106.32659375
transcript.pyannote[34].speaker SPEAKER_05
transcript.pyannote[34].start 108.35159375
transcript.pyannote[34].end 110.96721875
transcript.pyannote[35].speaker SPEAKER_05
transcript.pyannote[35].start 111.64221875
transcript.pyannote[35].end 113.92034375
transcript.pyannote[36].speaker SPEAKER_05
transcript.pyannote[36].start 114.40971875
transcript.pyannote[36].end 116.65409375
transcript.pyannote[37].speaker SPEAKER_05
transcript.pyannote[37].start 117.12659375
transcript.pyannote[37].end 119.16846875
transcript.pyannote[38].speaker SPEAKER_05
transcript.pyannote[38].start 119.33721875
transcript.pyannote[38].end 121.64909375
transcript.pyannote[39].speaker SPEAKER_05
transcript.pyannote[39].start 121.91909375
transcript.pyannote[39].end 123.99471875
transcript.pyannote[40].speaker SPEAKER_05
transcript.pyannote[40].start 124.28159375
transcript.pyannote[40].end 126.94784375
transcript.pyannote[41].speaker SPEAKER_05
transcript.pyannote[41].start 127.92659375
transcript.pyannote[41].end 131.25096875
transcript.pyannote[42].speaker SPEAKER_05
transcript.pyannote[42].start 131.57159375
transcript.pyannote[42].end 132.17909375
transcript.pyannote[43].speaker SPEAKER_05
transcript.pyannote[43].start 132.39846875
transcript.pyannote[43].end 133.98471875
transcript.pyannote[44].speaker SPEAKER_05
transcript.pyannote[44].start 134.38971875
transcript.pyannote[44].end 137.47784375
transcript.pyannote[45].speaker SPEAKER_05
transcript.pyannote[45].start 137.84909375
transcript.pyannote[45].end 141.64596875
transcript.pyannote[46].speaker SPEAKER_05
transcript.pyannote[46].start 141.88221875
transcript.pyannote[46].end 142.47284375
transcript.pyannote[47].speaker SPEAKER_05
transcript.pyannote[47].start 142.74284375
transcript.pyannote[47].end 147.02909375
transcript.pyannote[48].speaker SPEAKER_05
transcript.pyannote[48].start 147.09659375
transcript.pyannote[48].end 148.46346875
transcript.pyannote[49].speaker SPEAKER_05
transcript.pyannote[49].start 149.18909375
transcript.pyannote[49].end 151.18034375
transcript.pyannote[50].speaker SPEAKER_05
transcript.pyannote[50].start 151.48409375
transcript.pyannote[50].end 154.80846875
transcript.pyannote[51].speaker SPEAKER_05
transcript.pyannote[51].start 155.07846875
transcript.pyannote[51].end 158.79096875
transcript.pyannote[52].speaker SPEAKER_05
transcript.pyannote[52].start 159.07784375
transcript.pyannote[52].end 159.41534375
transcript.pyannote[53].speaker SPEAKER_05
transcript.pyannote[53].start 159.90471875
transcript.pyannote[53].end 165.08534375
transcript.pyannote[54].speaker SPEAKER_05
transcript.pyannote[54].start 165.38909375
transcript.pyannote[54].end 168.05534375
transcript.pyannote[55].speaker SPEAKER_05
transcript.pyannote[55].start 168.25784375
transcript.pyannote[55].end 171.22784375
transcript.pyannote[56].speaker SPEAKER_05
transcript.pyannote[56].start 171.37971875
transcript.pyannote[56].end 174.09659375
transcript.pyannote[57].speaker SPEAKER_05
transcript.pyannote[57].start 174.45096875
transcript.pyannote[57].end 176.50971875
transcript.pyannote[58].speaker SPEAKER_05
transcript.pyannote[58].start 176.83034375
transcript.pyannote[58].end 180.27284375
transcript.pyannote[59].speaker SPEAKER_05
transcript.pyannote[59].start 180.49221875
transcript.pyannote[59].end 181.96034375
transcript.pyannote[60].speaker SPEAKER_05
transcript.pyannote[60].start 182.28096875
transcript.pyannote[60].end 185.30159375
transcript.pyannote[61].speaker SPEAKER_05
transcript.pyannote[61].start 185.62221875
transcript.pyannote[61].end 189.01409375
transcript.pyannote[62].speaker SPEAKER_05
transcript.pyannote[62].start 189.40221875
transcript.pyannote[62].end 196.30409375
transcript.pyannote[63].speaker SPEAKER_05
transcript.pyannote[63].start 196.40534375
transcript.pyannote[63].end 198.27846875
transcript.pyannote[64].speaker SPEAKER_05
transcript.pyannote[64].start 198.49784375
transcript.pyannote[64].end 201.75471875
transcript.pyannote[65].speaker SPEAKER_05
transcript.pyannote[65].start 202.10909375
transcript.pyannote[65].end 207.05346875
transcript.pyannote[66].speaker SPEAKER_05
transcript.pyannote[66].start 207.57659375
transcript.pyannote[66].end 211.40721875
transcript.pyannote[67].speaker SPEAKER_05
transcript.pyannote[67].start 211.64346875
transcript.pyannote[67].end 214.10721875
transcript.pyannote[68].speaker SPEAKER_05
transcript.pyannote[68].start 214.37721875
transcript.pyannote[68].end 214.83284375
transcript.pyannote[69].speaker SPEAKER_05
transcript.pyannote[69].start 215.25471875
transcript.pyannote[69].end 217.93784375
transcript.pyannote[70].speaker SPEAKER_05
transcript.pyannote[70].start 218.17409375
transcript.pyannote[70].end 219.50721875
transcript.pyannote[71].speaker SPEAKER_05
transcript.pyannote[71].start 219.86159375
transcript.pyannote[71].end 220.48596875
transcript.pyannote[72].speaker SPEAKER_05
transcript.pyannote[72].start 220.65471875
transcript.pyannote[72].end 223.42221875
transcript.pyannote[73].speaker SPEAKER_05
transcript.pyannote[73].start 223.52346875
transcript.pyannote[73].end 224.29971875
transcript.pyannote[74].speaker SPEAKER_05
transcript.pyannote[74].start 224.67096875
transcript.pyannote[74].end 225.78471875
transcript.pyannote[75].speaker SPEAKER_05
transcript.pyannote[75].start 225.88596875
transcript.pyannote[75].end 226.84784375
transcript.pyannote[76].speaker SPEAKER_05
transcript.pyannote[76].start 227.10096875
transcript.pyannote[76].end 227.45534375
transcript.pyannote[77].speaker SPEAKER_05
transcript.pyannote[77].start 228.14721875
transcript.pyannote[77].end 232.58534375
transcript.pyannote[78].speaker SPEAKER_05
transcript.pyannote[78].start 232.90596875
transcript.pyannote[78].end 236.12909375
transcript.pyannote[79].speaker SPEAKER_05
transcript.pyannote[79].start 236.58471875
transcript.pyannote[79].end 238.86284375
transcript.pyannote[80].speaker SPEAKER_05
transcript.pyannote[80].start 239.16659375
transcript.pyannote[80].end 242.42346875
transcript.pyannote[81].speaker SPEAKER_05
transcript.pyannote[81].start 242.84534375
transcript.pyannote[81].end 244.88721875
transcript.pyannote[82].speaker SPEAKER_05
transcript.pyannote[82].start 245.29221875
transcript.pyannote[82].end 246.22034375
transcript.pyannote[83].speaker SPEAKER_05
transcript.pyannote[83].start 246.30471875
transcript.pyannote[83].end 250.32096875
transcript.pyannote[84].speaker SPEAKER_05
transcript.pyannote[84].start 250.74284375
transcript.pyannote[84].end 253.56096875
transcript.pyannote[85].speaker SPEAKER_05
transcript.pyannote[85].start 253.98284375
transcript.pyannote[85].end 254.30346875
transcript.pyannote[86].speaker SPEAKER_05
transcript.pyannote[86].start 255.29909375
transcript.pyannote[86].end 258.42096875
transcript.pyannote[87].speaker SPEAKER_05
transcript.pyannote[87].start 258.62346875
transcript.pyannote[87].end 262.80846875
transcript.pyannote[88].speaker SPEAKER_05
transcript.pyannote[88].start 263.66909375
transcript.pyannote[88].end 268.93409375
transcript.pyannote[89].speaker SPEAKER_05
transcript.pyannote[89].start 269.30534375
transcript.pyannote[89].end 269.59221875
transcript.pyannote[90].speaker SPEAKER_05
transcript.pyannote[90].start 270.11534375
transcript.pyannote[90].end 273.96284375
transcript.pyannote[91].speaker SPEAKER_05
transcript.pyannote[91].start 274.13159375
transcript.pyannote[91].end 275.70096875
transcript.pyannote[92].speaker SPEAKER_05
transcript.pyannote[92].start 276.00471875
transcript.pyannote[92].end 279.34596875
transcript.pyannote[93].speaker SPEAKER_05
transcript.pyannote[93].start 279.80159375
transcript.pyannote[93].end 282.46784375
transcript.pyannote[94].speaker SPEAKER_05
transcript.pyannote[94].start 282.94034375
transcript.pyannote[94].end 284.89784375
transcript.pyannote[95].speaker SPEAKER_05
transcript.pyannote[95].start 285.10034375
transcript.pyannote[95].end 287.88471875
transcript.pyannote[96].speaker SPEAKER_05
transcript.pyannote[96].start 288.22221875
transcript.pyannote[96].end 290.21346875
transcript.pyannote[97].speaker SPEAKER_05
transcript.pyannote[97].start 290.41596875
transcript.pyannote[97].end 292.82909375
transcript.pyannote[98].speaker SPEAKER_05
transcript.pyannote[98].start 292.96409375
transcript.pyannote[98].end 295.05659375
transcript.pyannote[99].speaker SPEAKER_05
transcript.pyannote[99].start 295.10721875
transcript.pyannote[99].end 297.18284375
transcript.pyannote[100].speaker SPEAKER_05
transcript.pyannote[100].start 297.57096875
transcript.pyannote[100].end 300.81096875
transcript.pyannote[101].speaker SPEAKER_05
transcript.pyannote[101].start 301.09784375
transcript.pyannote[101].end 303.91596875
transcript.pyannote[102].speaker SPEAKER_05
transcript.pyannote[102].start 304.05096875
transcript.pyannote[102].end 304.60784375
transcript.pyannote[103].speaker SPEAKER_05
transcript.pyannote[103].start 305.01284375
transcript.pyannote[103].end 308.30346875
transcript.pyannote[104].speaker SPEAKER_05
transcript.pyannote[104].start 309.13034375
transcript.pyannote[104].end 309.29909375
transcript.pyannote[105].speaker SPEAKER_05
transcript.pyannote[105].start 309.65346875
transcript.pyannote[105].end 312.67409375
transcript.pyannote[106].speaker SPEAKER_05
transcript.pyannote[106].start 313.01159375
transcript.pyannote[106].end 317.80409375
transcript.pyannote[107].speaker SPEAKER_05
transcript.pyannote[107].start 318.42846875
transcript.pyannote[107].end 319.57596875
transcript.pyannote[108].speaker SPEAKER_05
transcript.pyannote[108].start 319.84596875
transcript.pyannote[108].end 320.89221875
transcript.pyannote[109].speaker SPEAKER_05
transcript.pyannote[109].start 321.56721875
transcript.pyannote[109].end 323.01846875
transcript.pyannote[110].speaker SPEAKER_05
transcript.pyannote[110].start 323.22096875
transcript.pyannote[110].end 323.65971875
transcript.pyannote[111].speaker SPEAKER_05
transcript.pyannote[111].start 323.82846875
transcript.pyannote[111].end 324.38534375
transcript.pyannote[112].speaker SPEAKER_05
transcript.pyannote[112].start 324.65534375
transcript.pyannote[112].end 328.26659375
transcript.pyannote[113].speaker SPEAKER_05
transcript.pyannote[113].start 328.53659375
transcript.pyannote[113].end 330.19034375
transcript.pyannote[114].speaker SPEAKER_05
transcript.pyannote[114].start 330.46034375
transcript.pyannote[114].end 332.85659375
transcript.pyannote[115].speaker SPEAKER_05
transcript.pyannote[115].start 333.34596875
transcript.pyannote[115].end 336.75471875
transcript.pyannote[116].speaker SPEAKER_05
transcript.pyannote[116].start 337.90221875
transcript.pyannote[116].end 338.27346875
transcript.pyannote[117].speaker SPEAKER_05
transcript.pyannote[117].start 338.93159375
transcript.pyannote[117].end 342.30659375
transcript.pyannote[118].speaker SPEAKER_05
transcript.pyannote[118].start 342.39096875
transcript.pyannote[118].end 343.99409375
transcript.pyannote[119].speaker SPEAKER_05
transcript.pyannote[119].start 344.36534375
transcript.pyannote[119].end 346.39034375
transcript.pyannote[120].speaker SPEAKER_05
transcript.pyannote[120].start 346.96409375
transcript.pyannote[120].end 348.14534375
transcript.pyannote[121].speaker SPEAKER_05
transcript.pyannote[121].start 348.71909375
transcript.pyannote[121].end 351.06471875
transcript.pyannote[122].speaker SPEAKER_05
transcript.pyannote[122].start 351.50346875
transcript.pyannote[122].end 356.11034375
transcript.pyannote[123].speaker SPEAKER_05
transcript.pyannote[123].start 356.26221875
transcript.pyannote[123].end 358.99596875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 357.79784375
transcript.pyannote[124].end 357.86534375
transcript.pyannote[125].speaker SPEAKER_04
transcript.pyannote[125].start 357.86534375
transcript.pyannote[125].end 364.68284375
transcript.pyannote[126].speaker SPEAKER_05
transcript.pyannote[126].start 362.87721875
transcript.pyannote[126].end 363.46784375
transcript.pyannote[127].speaker SPEAKER_05
transcript.pyannote[127].start 364.12596875
transcript.pyannote[127].end 368.32784375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 365.89784375
transcript.pyannote[128].end 369.00284375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 369.39096875
transcript.pyannote[129].end 381.11909375
transcript.pyannote[130].speaker SPEAKER_05
transcript.pyannote[130].start 373.50846875
transcript.pyannote[130].end 373.87971875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 373.87971875
transcript.pyannote[131].end 373.89659375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 381.54096875
transcript.pyannote[132].end 384.12284375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 384.27471875
transcript.pyannote[133].end 392.13846875
transcript.pyannote[134].speaker SPEAKER_05
transcript.pyannote[134].start 391.49721875
transcript.pyannote[134].end 394.12971875
transcript.pyannote[135].speaker SPEAKER_05
transcript.pyannote[135].start 394.33221875
transcript.pyannote[135].end 397.48784375
transcript.pyannote[136].speaker SPEAKER_05
transcript.pyannote[136].start 397.84221875
transcript.pyannote[136].end 398.92221875
transcript.pyannote[137].speaker SPEAKER_05
transcript.pyannote[137].start 399.54659375
transcript.pyannote[137].end 417.06284375
transcript.pyannote[138].speaker SPEAKER_05
transcript.pyannote[138].start 417.29909375
transcript.pyannote[138].end 417.90659375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 418.00784375
transcript.pyannote[139].end 422.27721875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 422.73284375
transcript.pyannote[140].end 426.78284375
transcript.pyannote[141].speaker SPEAKER_05
transcript.pyannote[141].start 423.12096875
transcript.pyannote[141].end 424.35284375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 427.10346875
transcript.pyannote[142].end 430.56284375
transcript.pyannote[143].speaker SPEAKER_05
transcript.pyannote[143].start 429.39846875
transcript.pyannote[143].end 435.16971875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 430.83284375
transcript.pyannote[144].end 431.60909375
transcript.pyannote[145].speaker SPEAKER_05
transcript.pyannote[145].start 435.33846875
transcript.pyannote[145].end 442.62846875
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 437.44784375
transcript.pyannote[146].end 440.09721875
transcript.pyannote[147].speaker SPEAKER_05
transcript.pyannote[147].start 443.05034375
transcript.pyannote[147].end 444.63659375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 444.88971875
transcript.pyannote[148].end 449.02409375
transcript.pyannote[149].speaker SPEAKER_05
transcript.pyannote[149].start 446.54346875
transcript.pyannote[149].end 447.03284375
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 447.03284375
transcript.pyannote[150].end 450.98159375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 450.37409375
transcript.pyannote[151].end 450.79596875
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 451.28534375
transcript.pyannote[152].end 456.80346875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 456.16221875
transcript.pyannote[153].end 456.44909375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 456.44909375
transcript.pyannote[154].end 456.78659375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 456.78659375
transcript.pyannote[155].end 456.92159375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 456.92159375
transcript.pyannote[156].end 458.96346875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 457.12409375
transcript.pyannote[157].end 458.82846875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 458.96346875
transcript.pyannote[158].end 460.17846875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 460.51596875
transcript.pyannote[159].end 460.58346875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 460.58346875
transcript.pyannote[160].end 461.25846875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 460.75221875
transcript.pyannote[161].end 460.78596875
transcript.pyannote[162].speaker SPEAKER_05
transcript.pyannote[162].start 460.78596875
transcript.pyannote[162].end 471.24846875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 461.25846875
transcript.pyannote[163].end 461.30909375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 462.05159375
transcript.pyannote[164].end 462.11909375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 462.11909375
transcript.pyannote[165].end 462.28784375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 462.28784375
transcript.pyannote[166].end 462.49034375
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 463.43534375
transcript.pyannote[167].end 464.22846875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 470.67471875
transcript.pyannote[168].end 478.36971875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 478.62284375
transcript.pyannote[169].end 486.94221875
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 486.36846875
transcript.pyannote[170].end 493.72596875
transcript.pyannote[171].speaker SPEAKER_05
transcript.pyannote[171].start 492.61221875
transcript.pyannote[171].end 517.23284375
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 494.24909375
transcript.pyannote[172].end 495.26159375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 517.40159375
transcript.pyannote[173].end 523.96596875
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 523.96596875
transcript.pyannote[174].end 524.42159375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 524.11784375
transcript.pyannote[175].end 524.25284375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 524.42159375
transcript.pyannote[176].end 524.84346875
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 524.84346875
transcript.pyannote[177].end 526.98659375
transcript.pyannote[178].speaker SPEAKER_05
transcript.pyannote[178].start 527.66159375
transcript.pyannote[178].end 530.00721875
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 529.39971875
transcript.pyannote[179].end 531.08721875
transcript.pyannote[180].speaker SPEAKER_05
transcript.pyannote[180].start 531.22221875
transcript.pyannote[180].end 542.03909375
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 533.66909375
transcript.pyannote[181].end 534.19221875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 537.82034375
transcript.pyannote[182].end 537.95534375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 540.08159375
transcript.pyannote[183].end 540.72284375
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 541.24596875
transcript.pyannote[184].end 547.15221875
transcript.pyannote[185].speaker SPEAKER_05
transcript.pyannote[185].start 546.69659375
transcript.pyannote[185].end 556.02846875
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 549.49784375
transcript.pyannote[186].end 550.29096875
transcript.pyannote[187].speaker SPEAKER_05
transcript.pyannote[187].start 556.34909375
transcript.pyannote[187].end 581.84721875
transcript.pyannote[188].speaker SPEAKER_05
transcript.pyannote[188].start 582.80909375
transcript.pyannote[188].end 583.87221875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 584.88471875
transcript.pyannote[189].end 594.53721875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 595.00971875
transcript.pyannote[190].end 596.69721875
transcript.pyannote[191].speaker SPEAKER_05
transcript.pyannote[191].start 596.14034375
transcript.pyannote[191].end 597.65909375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 597.74346875
transcript.pyannote[192].end 602.14784375
transcript.pyannote[193].speaker SPEAKER_05
transcript.pyannote[193].start 602.53596875
transcript.pyannote[193].end 603.24471875
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 603.14346875
transcript.pyannote[194].end 603.21096875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 603.24471875
transcript.pyannote[195].end 603.31221875
transcript.pyannote[196].speaker SPEAKER_05
transcript.pyannote[196].start 603.56534375
transcript.pyannote[196].end 607.36221875
transcript.pyannote[197].speaker SPEAKER_05
transcript.pyannote[197].start 607.49721875
transcript.pyannote[197].end 609.28596875
transcript.pyannote[198].speaker SPEAKER_05
transcript.pyannote[198].start 609.55596875
transcript.pyannote[198].end 610.85534375
transcript.pyannote[199].speaker SPEAKER_05
transcript.pyannote[199].start 611.83409375
transcript.pyannote[199].end 619.32659375
transcript.pyannote[200].speaker SPEAKER_05
transcript.pyannote[200].start 619.41096875
transcript.pyannote[200].end 624.06846875
transcript.pyannote[201].speaker SPEAKER_05
transcript.pyannote[201].start 626.07659375
transcript.pyannote[201].end 626.51534375
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 626.51534375
transcript.pyannote[202].end 630.58221875
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 630.71721875
transcript.pyannote[203].end 630.73409375
transcript.pyannote[204].speaker SPEAKER_04
transcript.pyannote[204].start 630.73409375
transcript.pyannote[204].end 633.26534375
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 630.75096875
transcript.pyannote[205].end 631.29096875
transcript.pyannote[206].speaker SPEAKER_05
transcript.pyannote[206].start 631.29096875
transcript.pyannote[206].end 631.66221875
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 631.66221875
transcript.pyannote[207].end 631.67909375
transcript.pyannote[208].speaker SPEAKER_05
transcript.pyannote[208].start 631.67909375
transcript.pyannote[208].end 631.76346875
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 631.76346875
transcript.pyannote[209].end 631.93221875
transcript.pyannote[210].speaker SPEAKER_05
transcript.pyannote[210].start 631.93221875
transcript.pyannote[210].end 631.96596875
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 631.96596875
transcript.pyannote[211].end 632.15159375
transcript.pyannote[212].speaker SPEAKER_05
transcript.pyannote[212].start 632.15159375
transcript.pyannote[212].end 632.74221875
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 632.74221875
transcript.pyannote[213].end 634.34534375
transcript.pyannote[214].speaker SPEAKER_04
transcript.pyannote[214].start 634.90221875
transcript.pyannote[214].end 637.26471875
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 636.16784375
transcript.pyannote[215].end 639.25596875
transcript.pyannote[216].speaker SPEAKER_04
transcript.pyannote[216].start 637.92284375
transcript.pyannote[216].end 637.95659375
transcript.pyannote[217].speaker SPEAKER_05
transcript.pyannote[217].start 637.95659375
transcript.pyannote[217].end 640.16721875
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 640.16721875
transcript.pyannote[218].end 641.73659375
transcript.pyannote[219].speaker SPEAKER_05
transcript.pyannote[219].start 640.18409375
transcript.pyannote[219].end 640.45409375
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 640.45409375
transcript.pyannote[220].end 640.53846875
transcript.pyannote[221].speaker SPEAKER_05
transcript.pyannote[221].start 641.51721875
transcript.pyannote[221].end 642.73221875
transcript.pyannote[222].speaker SPEAKER_05
transcript.pyannote[222].start 643.54221875
transcript.pyannote[222].end 654.39284375
transcript.pyannote[223].speaker SPEAKER_02
transcript.pyannote[223].start 652.78971875
transcript.pyannote[223].end 652.90784375
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 653.22846875
transcript.pyannote[224].end 653.93721875
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 654.89909375
transcript.pyannote[225].end 660.65346875
transcript.pyannote[226].speaker SPEAKER_05
transcript.pyannote[226].start 659.05034375
transcript.pyannote[226].end 662.03721875
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 661.22721875
transcript.pyannote[227].end 664.18034375
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 662.03721875
transcript.pyannote[228].end 662.20596875
transcript.pyannote[229].speaker SPEAKER_05
transcript.pyannote[229].start 662.20596875
transcript.pyannote[229].end 662.30721875
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 662.30721875
transcript.pyannote[230].end 662.42534375
transcript.pyannote[231].speaker SPEAKER_02
transcript.pyannote[231].start 664.23096875
transcript.pyannote[231].end 664.65284375
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 664.29846875
transcript.pyannote[232].end 670.10346875
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 670.52534375
transcript.pyannote[233].end 672.68534375
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 673.12409375
transcript.pyannote[234].end 673.83284375
transcript.pyannote[235].speaker SPEAKER_05
transcript.pyannote[235].start 674.08596875
transcript.pyannote[235].end 686.89409375
transcript.pyannote[236].speaker SPEAKER_01
transcript.pyannote[236].start 675.03096875
transcript.pyannote[236].end 675.08159375
transcript.pyannote[237].speaker SPEAKER_01
transcript.pyannote[237].start 677.61284375
transcript.pyannote[237].end 678.05159375
transcript.pyannote[238].speaker SPEAKER_00
transcript.pyannote[238].start 680.85284375
transcript.pyannote[238].end 680.86971875
transcript.pyannote[239].speaker SPEAKER_01
transcript.pyannote[239].start 680.86971875
transcript.pyannote[239].end 681.22409375
transcript.pyannote[240].speaker SPEAKER_00
transcript.pyannote[240].start 681.22409375
transcript.pyannote[240].end 681.24096875
transcript.pyannote[241].speaker SPEAKER_01
transcript.pyannote[241].start 681.24096875
transcript.pyannote[241].end 681.40971875
transcript.pyannote[242].speaker SPEAKER_00
transcript.pyannote[242].start 681.40971875
transcript.pyannote[242].end 681.42659375
transcript.pyannote[243].speaker SPEAKER_00
transcript.pyannote[243].start 685.69596875
transcript.pyannote[243].end 685.91534375
transcript.pyannote[244].speaker SPEAKER_05
transcript.pyannote[244].start 687.53534375
transcript.pyannote[244].end 704.95034375
transcript.pyannote[245].speaker SPEAKER_04
transcript.pyannote[245].start 694.03221875
transcript.pyannote[245].end 694.38659375
transcript.pyannote[246].speaker SPEAKER_05
transcript.pyannote[246].start 705.00096875
transcript.pyannote[246].end 706.38471875
transcript.pyannote[247].speaker SPEAKER_05
transcript.pyannote[247].start 706.53659375
transcript.pyannote[247].end 711.34596875
transcript.pyannote[248].speaker SPEAKER_05
transcript.pyannote[248].start 711.44721875
transcript.pyannote[248].end 713.18534375
transcript.pyannote[249].speaker SPEAKER_05
transcript.pyannote[249].start 713.43846875
transcript.pyannote[249].end 717.08346875
transcript.pyannote[250].speaker SPEAKER_01
transcript.pyannote[250].start 717.23534375
transcript.pyannote[250].end 726.83721875
transcript.pyannote[251].speaker SPEAKER_05
transcript.pyannote[251].start 719.27721875
transcript.pyannote[251].end 719.80034375
transcript.pyannote[252].speaker SPEAKER_05
transcript.pyannote[252].start 725.95971875
transcript.pyannote[252].end 730.12784375
transcript.pyannote[253].speaker SPEAKER_05
transcript.pyannote[253].start 730.49909375
transcript.pyannote[253].end 731.14034375
transcript.pyannote[254].speaker SPEAKER_04
transcript.pyannote[254].start 731.14034375
transcript.pyannote[254].end 738.39659375
transcript.pyannote[255].speaker SPEAKER_05
transcript.pyannote[255].start 733.43534375
transcript.pyannote[255].end 733.50284375
transcript.pyannote[256].speaker SPEAKER_04
transcript.pyannote[256].start 738.70034375
transcript.pyannote[256].end 741.33284375
transcript.pyannote[257].speaker SPEAKER_04
transcript.pyannote[257].start 741.72096875
transcript.pyannote[257].end 747.69471875
transcript.pyannote[258].speaker SPEAKER_04
transcript.pyannote[258].start 748.08284375
transcript.pyannote[258].end 753.38159375
transcript.pyannote[259].speaker SPEAKER_01
transcript.pyannote[259].start 751.89659375
transcript.pyannote[259].end 758.61284375
transcript.pyannote[260].speaker SPEAKER_05
transcript.pyannote[260].start 755.06909375
transcript.pyannote[260].end 755.08596875
transcript.pyannote[261].speaker SPEAKER_04
transcript.pyannote[261].start 755.08596875
transcript.pyannote[261].end 755.84534375
transcript.pyannote[262].speaker SPEAKER_05
transcript.pyannote[262].start 755.84534375
transcript.pyannote[262].end 755.87909375
transcript.pyannote[263].speaker SPEAKER_05
transcript.pyannote[263].start 758.98409375
transcript.pyannote[263].end 762.69659375
transcript.pyannote[264].speaker SPEAKER_01
transcript.pyannote[264].start 762.67971875
transcript.pyannote[264].end 762.96659375
transcript.pyannote[265].speaker SPEAKER_05
transcript.pyannote[265].start 762.94971875
transcript.pyannote[265].end 768.46784375
transcript.pyannote[266].speaker SPEAKER_04
transcript.pyannote[266].start 762.96659375
transcript.pyannote[266].end 763.03409375
transcript.pyannote[267].speaker SPEAKER_05
transcript.pyannote[267].start 768.82221875
transcript.pyannote[267].end 771.99471875
transcript.pyannote[268].speaker SPEAKER_05
transcript.pyannote[268].start 772.11284375
transcript.pyannote[268].end 775.77471875
transcript.pyannote[269].speaker SPEAKER_05
transcript.pyannote[269].start 775.96034375
transcript.pyannote[269].end 778.82909375
transcript.pyannote[270].speaker SPEAKER_05
transcript.pyannote[270].start 778.89659375
transcript.pyannote[270].end 780.55034375
transcript.pyannote[271].speaker SPEAKER_05
transcript.pyannote[271].start 780.87096875
transcript.pyannote[271].end 781.49534375
transcript.pyannote[272].speaker SPEAKER_05
transcript.pyannote[272].start 781.54596875
transcript.pyannote[272].end 786.00096875
transcript.pyannote[273].speaker SPEAKER_05
transcript.pyannote[273].start 786.22034375
transcript.pyannote[273].end 787.19909375
transcript.pyannote[274].speaker SPEAKER_05
transcript.pyannote[274].start 787.23284375
transcript.pyannote[274].end 789.07221875
transcript.pyannote[275].speaker SPEAKER_05
transcript.pyannote[275].start 789.24096875
transcript.pyannote[275].end 790.28721875
transcript.pyannote[276].speaker SPEAKER_05
transcript.pyannote[276].start 790.40534375
transcript.pyannote[276].end 791.28284375
transcript.pyannote[277].speaker SPEAKER_05
transcript.pyannote[277].start 791.63721875
transcript.pyannote[277].end 792.00846875
transcript.pyannote[278].speaker SPEAKER_05
transcript.pyannote[278].start 792.63284375
transcript.pyannote[278].end 801.37409375
transcript.pyannote[279].speaker SPEAKER_05
transcript.pyannote[279].start 801.77909375
transcript.pyannote[279].end 804.46221875
transcript.pyannote[280].speaker SPEAKER_05
transcript.pyannote[280].start 804.51284375
transcript.pyannote[280].end 811.97159375
transcript.pyannote[281].speaker SPEAKER_00
transcript.pyannote[281].start 809.54159375
transcript.pyannote[281].end 809.96346875
transcript.pyannote[282].speaker SPEAKER_05
transcript.pyannote[282].start 812.69721875
transcript.pyannote[282].end 819.26159375
transcript.pyannote[283].speaker SPEAKER_01
transcript.pyannote[283].start 815.38034375
transcript.pyannote[283].end 818.16471875
transcript.pyannote[284].speaker SPEAKER_01
transcript.pyannote[284].start 818.62034375
transcript.pyannote[284].end 828.96471875
transcript.pyannote[285].speaker SPEAKER_02
transcript.pyannote[285].start 820.27409375
transcript.pyannote[285].end 820.32471875
transcript.pyannote[286].speaker SPEAKER_05
transcript.pyannote[286].start 820.32471875
transcript.pyannote[286].end 820.52721875
transcript.pyannote[287].speaker SPEAKER_02
transcript.pyannote[287].start 824.00346875
transcript.pyannote[287].end 827.59784375
transcript.pyannote[288].speaker SPEAKER_02
transcript.pyannote[288].start 828.52596875
transcript.pyannote[288].end 850.61534375
transcript.pyannote[289].speaker SPEAKER_01
transcript.pyannote[289].start 831.54659375
transcript.pyannote[289].end 832.10346875
transcript.pyannote[290].speaker SPEAKER_00
transcript.pyannote[290].start 834.34784375
transcript.pyannote[290].end 834.60096875
transcript.pyannote[291].speaker SPEAKER_00
transcript.pyannote[291].start 840.91221875
transcript.pyannote[291].end 842.02596875
transcript.pyannote[292].speaker SPEAKER_05
transcript.pyannote[292].start 842.02596875
transcript.pyannote[292].end 842.76846875
transcript.pyannote[293].speaker SPEAKER_00
transcript.pyannote[293].start 843.35909375
transcript.pyannote[293].end 843.42659375
transcript.pyannote[294].speaker SPEAKER_05
transcript.pyannote[294].start 843.42659375
transcript.pyannote[294].end 843.88221875
transcript.pyannote[295].speaker SPEAKER_05
transcript.pyannote[295].start 850.54784375
transcript.pyannote[295].end 860.33534375
transcript.pyannote[296].speaker SPEAKER_01
transcript.pyannote[296].start 856.58909375
transcript.pyannote[296].end 856.92659375
transcript.pyannote[297].speaker SPEAKER_01
transcript.pyannote[297].start 860.99346875
transcript.pyannote[297].end 869.97096875
transcript.pyannote[298].speaker SPEAKER_05
transcript.pyannote[298].start 868.68846875
transcript.pyannote[298].end 869.53221875
transcript.pyannote[299].speaker SPEAKER_05
transcript.pyannote[299].start 869.97096875
transcript.pyannote[299].end 878.07096875
transcript.pyannote[300].speaker SPEAKER_01
transcript.pyannote[300].start 874.47659375
transcript.pyannote[300].end 876.61971875
transcript.pyannote[301].speaker SPEAKER_01
transcript.pyannote[301].start 877.58159375
transcript.pyannote[301].end 877.98659375
transcript.pyannote[302].speaker SPEAKER_01
transcript.pyannote[302].start 878.07096875
transcript.pyannote[302].end 884.12909375
transcript.pyannote[303].speaker SPEAKER_05
transcript.pyannote[303].start 886.13721875
transcript.pyannote[303].end 893.47784375
transcript.pyannote[304].speaker SPEAKER_05
transcript.pyannote[304].start 893.54534375
transcript.pyannote[304].end 898.91159375
transcript.pyannote[305].speaker SPEAKER_05
transcript.pyannote[305].start 899.28284375
transcript.pyannote[305].end 901.69596875
transcript.pyannote[306].speaker SPEAKER_05
transcript.pyannote[306].start 901.76346875
transcript.pyannote[306].end 903.55221875
transcript.pyannote[307].speaker SPEAKER_05
transcript.pyannote[307].start 903.72096875
transcript.pyannote[307].end 906.13409375
transcript.pyannote[308].speaker SPEAKER_05
transcript.pyannote[308].start 906.48846875
transcript.pyannote[308].end 907.23096875
transcript.pyannote[309].speaker SPEAKER_05
transcript.pyannote[309].start 907.78784375
transcript.pyannote[309].end 911.92221875
transcript.pyannote[310].speaker SPEAKER_05
transcript.pyannote[310].start 912.07409375
transcript.pyannote[310].end 916.44471875
transcript.pyannote[311].speaker SPEAKER_05
transcript.pyannote[311].start 916.59659375
transcript.pyannote[311].end 922.53659375
transcript.pyannote[312].speaker SPEAKER_05
transcript.pyannote[312].start 922.92471875
transcript.pyannote[312].end 932.30721875
transcript.pyannote[313].speaker SPEAKER_05
transcript.pyannote[313].start 932.42534375
transcript.pyannote[313].end 936.84659375
transcript.pyannote[314].speaker SPEAKER_05
transcript.pyannote[314].start 937.25159375
transcript.pyannote[314].end 944.05221875
transcript.pyannote[315].speaker SPEAKER_03
transcript.pyannote[315].start 948.97971875
transcript.pyannote[315].end 953.38409375
transcript.pyannote[316].speaker SPEAKER_03
transcript.pyannote[316].start 954.93659375
transcript.pyannote[316].end 958.32846875
transcript.whisperx[0].start 0.93
transcript.whisperx[0].end 14.909
transcript.whisperx[0].text 賴慧元委員請準備謝謝院長 我們麻煩院長麻煩再請卓院長備詢
transcript.whisperx[1].start 29.119
transcript.whisperx[1].end 53.264
transcript.whisperx[1].text 那個諮詢開始之前我還是先代表宜蘭的鄉親對院長表達肯定還有感謝過年那個時候院長有特別有拍板定案就是宜蘭到羅東的這個高價化的這個計畫那當然我們希望就是說今年是馬年那接下來我們可以快馬加鞭能夠趕快讓這個計畫能夠趕快促成否則那個當地這個線內的交通還是有蠻
transcript.whisperx[2].start 54.424
transcript.whisperx[2].end 71.773
transcript.whisperx[2].text 蠻多大家有很多的抱怨那另外也對於這個行政團隊的感謝因為過去一年我其實我一直積極在推動幾個東西那行政團隊也給我蠻多的幫助就像那個國道5號那個東山交流道還有這個南方澳漁港的那個漁船上架場的設置
transcript.whisperx[3].start 72.549
transcript.whisperx[3].end 90.612
transcript.whisperx[3].text 行政團隊其實都有給予蠻多協助的這個部分先謝謝院長另外對於這次基層經貿談判團隊在美國壓力下那還能夠盡力的為台灣爭取一些空間這部分我們當然也是要對於這個辛勞給予肯定這部分先跟院長報告
transcript.whisperx[4].start 92.604
transcript.whisperx[4].end 110.496
transcript.whisperx[4].text 我想今天我們提到我們來談這個ART的事情那依據這個條約締結法五國條約締結法那這個ART那個台美對等貿易協定這個本來就是要送到立法院審查所以今天我們才會一起在這個地方那這個當然也是國會實質審查的一環
transcript.whisperx[5].start 111.704
transcript.whisperx[5].end 136.944
transcript.whisperx[5].text 那這次呢比較意外的就是說美國司法對於IPA的違憲那美方現在又改用這1974的貿易法案第22條的這有關臨時關稅的徵收甚至現在還有說法就是說可能會上調到15所以當然立法委員的立場我們當然是要替全國人民把關
transcript.whisperx[6].start 137.932
transcript.whisperx[6].end 154.641
transcript.whisperx[6].text 那院長在2月21號你們的官網有寫到這個臨時性的關稅10%這個部分你們認為說衝擊影響有限而且你們都會持續的關注當然你們還有再提到就是說將來我們可能還會面臨到
transcript.whisperx[7].start 156.294
transcript.whisperx[7].end 181.744
transcript.whisperx[7].text 301條款或是232條款的這些問題所以等於是外部的風險以及非常多的不確定性都還在持續的上升那美國他們的法源也在翻轉中但是你也是一直呼籲說國人要相信美方相信這個協議會被尊重那在我的立場我當然會擔心說我們會不會搞到最後這個對等變成是美國說了算美國說了就叫做對等
transcript.whisperx[8].start 182.464
transcript.whisperx[8].end 201.127
transcript.whisperx[8].text 這是我的擔心這是我對於未來的擔心那再來就是您的報告也寫得很清楚就是美方還在研議中研議完會通知我們那不就代表目前還沒有一個具體的做法他們的具體做法我們還不知道那現在如果說要我們相信或叫國會背書
transcript.whisperx[9].start 202.168
transcript.whisperx[9].end 225.041
transcript.whisperx[9].text 那我也會擔心說那這個是對等嗎這個會不會是更高的一個風險所以我們今天一直講說我們要相信美方我們要積極爭取但是這個部分我是希望能夠提供您希望您能夠就兩個部分能夠再用力再給我們一些答覆但第一個在目前LRT的基礎上面有沒有把10%這個部分還有
transcript.whisperx[10].start 228.223
transcript.whisperx[10].end 253.316
transcript.whisperx[10].text 上調到15%將來有可能性這個臨時關稅上調15%或者是有可能轉向301對中長期的這個風險情境的評估一起納入這個產業的衝擊報告的評估裡面因為我看到你們有提到有智庫啦那這個部分我想這幾個情境的風險還是要讓國人知道好不好這個部分要請人要做到
transcript.whisperx[11].start 255.336
transcript.whisperx[11].end 282.395
transcript.whisperx[11].text 第二個就是說這個對等的意思啊如果是將來美方如果違反這個協定的話那我們的我們的底牌在哪裡我們有什麼武器可以因應我們的反制工具是什麼那這個反制工具多久內可以啟動這個部分也是我所希望知道的那到底我要來確認一下我們這個ART到底有沒有如同他的名詞所說的是一個對等
transcript.whisperx[12].start 283.121
transcript.whisperx[12].end 307.991
transcript.whisperx[12].text 我是比較在意這個部分因為我看了一下那個經濟日報的社論其實他有提到啊他是說什麼台灣跟這個ART期存在一些誤判的問題啦而且這是很多產業界擔心的因為他們總是擔心說一下拉高這一下提高那個會不會將來他的利潤會被吃乾媽淨這個是大家所擔心的沒關係我等一下會把一些問題提出來
transcript.whisperx[13].start 309.741
transcript.whisperx[13].end 335.598
transcript.whisperx[13].text 那再來就是我們這次那個協定的7.4條的第二項其實有一個這個你們看一下那個PowerPoint上面有他其實有提到這是協定的內容其實不應限制或以其他方式阻礙一方代表或領域或當局為糾正不公平貿易的行為應進行的進口激增等等這些
transcript.whisperx[14].start 339.253
transcript.whisperx[14].end 355.811
transcript.whisperx[14].text 類似你們看這個文字好了我就不再念出來那這個問題是出在說因為這個第二項寫得很清楚不應阻礙或限制一方代表那這個一方就代表不是只有美方我方也可以嘛對不對我想這個很清楚
transcript.whisperx[15].start 356.391
transcript.whisperx[15].end 383.844
transcript.whisperx[15].text 對不對 院長是這樣嗎這個讓副院長來說明因為談判的每一個條文 每一條每一點都是自製的徵手我今天很善意的非常簡要的跟委員回應就是通常這個第七節Session 7它主要都是這個協定後去履行公關的這個法律安排那通常這一條比較是一般性的這個國內法律權利的保留條款它其實指的就是說美方它保有它的政策
transcript.whisperx[16].start 385.329
transcript.whisperx[16].end 387.763
transcript.whisperx[16].text 當然我方也是保有我方的法律
transcript.whisperx[17].start 388.554
transcript.whisperx[17].end 417.715
transcript.whisperx[17].text 跟法規的條款所以這是一個比較一般性的一個法規條款謝謝副院長我這很清楚聽得很清楚好那美方有那請問我國呢因為他是叫做一方嘛他不叫美方嘛那依據這個條文的規定是這個規定是一方那一方也包括我國也是其中的一方那請問一下我國在面對這樣的客觀狀況的時候我們能夠採用什麼樣的措施請問一下
transcript.whisperx[18].start 418.075
transcript.whisperx[18].end 444.495
transcript.whisperx[18].text 那這個一方當然就是指從每一方來看所以這個沒有問題這個在一般的法律條文裡面他基本上就是一個雙方有他國內的相關的法律條文你沒有回答到我的問題我的意思是說因為他是寫一方嘛那代表美方跟中華民國嘛那請問一下我們有什麼樣的權益可以使用有什麼樣的法律依據可以使用
transcript.whisperx[19].start 444.943
transcript.whisperx[19].end 456.421
transcript.whisperx[19].text 就是包含這個任何的法律人權基於選舉政委可以備詢 沒問題 您請上對 那個委員 那個有一些法條問題政委非常熟 原則非常熟時間繼續 謝謝委員這一方是指雙方
transcript.whisperx[20].start 460.847
transcript.whisperx[20].end 486.004
transcript.whisperx[20].text 不是不是 這個不是我的問題嘛我一直說一方是代表美方跟中華民國我是說我方可以採取什麼樣的動作嗎我方就是說當我們認為美國的產品有進口激增的時候我們可以採取WTO上下的救濟措施例如進口限制或是Safeguard或是Anti-Dumping或是Subsidy他講的是這種
transcript.whisperx[21].start 486.664
transcript.whisperx[21].end 513.033
transcript.whisperx[21].text 我方仍然保有我國國內法律保護我國受公平貿易的相關的法律的效力所以我今天就是在問這個問題就是我方到底有什麼樣的反制措施那因為美方的話我們現在動不動就聽到美方說有301.2.32等等的很多的武器要來面對對付其他國家那我才會問說那依據這個第二項所提到的我們會有什麼樣的措施可以提出
transcript.whisperx[22].start 513.493
transcript.whisperx[22].end 526.779
transcript.whisperx[22].text 那除了你們剛剛講的那有沒有相關的法律我們的法律依據是什麼有 我們有進口救濟措施在經濟部還有財政部都有貿易法貿易法相關都有相關的條文
transcript.whisperx[23].start 529.414
transcript.whisperx[23].end 555.32
transcript.whisperx[23].text 就回歸我國國內的法律所以我今天不是來考大記憶力我只是把我的疑問提出來請你們回覆所以當然你們誰要出來解釋我都非常樂意主外一方代表指的是the other party就是指的對方主外的時候我方就沒有啦我了解啦我說一方是指兩邊都可以嘛所以美方一直在新聞上面提供他們301等等那我也要知道我方有什麼
transcript.whisperx[24].start 556.78
transcript.whisperx[24].end 582.955
transcript.whisperx[24].text 這個必須要告訴全國人民我們到底還有什麼東西因為我看到就是天下雜誌他有整理到就是說美國貿易代表他有講了說還甚至可以提到15%然後他可以那個有足夠的時間讓政府去整齊提動301條款那我也要知道我們有什麼東西可以因應那像這樣子的啟動大概都需要花多少時間有沒有什麼SOP我說我國
transcript.whisperx[25].start 585.126
transcript.whisperx[25].end 610.687
transcript.whisperx[25].text 依照我們的貿易法的相關的規定如果要採取進口救濟的話業者可以提出來政府也可以自行但是要經過一定的時間的調查調查時間大概多久這個我一下忘記應該至少一定要6個月以上好那這個東西請麻煩都讓全國人民知道再來我想請教一下我看到你們的報告你們的報告提到
transcript.whisperx[26].start 612.014
transcript.whisperx[26].end 629.159
transcript.whisperx[26].text 你們有找過民間智庫做初步的估算就是你們認為說這個衝擊性可能沒有那麼的那麼大他的衝擊有限請問一下這個民間智庫是指什麼哪一間智庫這是經濟部這個相關不是經濟部啦你們找的智庫
transcript.whisperx[27].start 634.889
transcript.whisperx[27].end 635.029
transcript.whisperx[27].text 我們可以下載嗎?
transcript.whisperx[28].start 643.578
transcript.whisperx[28].end 672.009
transcript.whisperx[28].text 就是因為你們現在只有在你們的報告第13頁有提到一個民間智庫那我想請問一下這個智庫的報告細項我要去哪裡看得到 還有一些評估行政院召開正式記者會都有請經濟部提供PowerPoint所以會後我們可以不是PowerPoint 我只要詳細的智庫的報告詳細的評估經濟部可以再進一步提供給委員因為我們如果要提供完整的這些評估報告比較細項那個部分是不是等到文本一併的
transcript.whisperx[29].start 674.15
transcript.whisperx[29].end 694.927
transcript.whisperx[29].text 好 那不能這樣好了啦至少讓我知道你們會給我那你們剛剛是告訴了我民間智庫是哪幾個嘛然後再來我是希望我希望完整的看一下內容是什麼因為這個東西其實是很重要的啦因為我必須知道到底民間智庫是幾家你們有沒有做交叉的驗證這個我必須知道
transcript.whisperx[30].start 695.387
transcript.whisperx[30].end 716.927
transcript.whisperx[30].text 再來他的評估的狀況怎麼樣對我國影響多大因為我跟各位報告雖然你們就是以政府的角度是這樣看但是民間每個人都挫在蛋啦我想各位一定能夠感同身受他們都很害怕所以他們都會一直跟我們溝通所以我希望知道這些內容好不好就麻煩你要把資料提供給我這個大概多久可以提供給我
transcript.whisperx[31].start 717.787
transcript.whisperx[31].end 745.002
transcript.whisperx[31].text 只要那個確定了我們文本要送上去的時候我們就會把這些比較詳細的怎麼樣估算的內容好那我稍微等一下如果我一直等覺得沒有到我會發文跟你們詢問好不好報告員我們要讓他確定之後最終的影響評估我們給他公布出來否則這個過程像過去32、20、15我們都有如果都很詳細全部公布我想在引用上也會造成一些不必要的
transcript.whisperx[32].start 745.742
transcript.whisperx[32].end 761.836
transcript.whisperx[32].text 混淆 所以我們最終的時候會把定案時候的影響評估公布出來也經過這個民間的智庫來公布出來他們用什麼樣的模型 用什麼樣的角色裡面都會完整的揭露 沒有問題因為我是看到你們的報告寫 因為是太簡單了啦
transcript.whisperx[33].start 763.101
transcript.whisperx[33].end 791.021
transcript.whisperx[33].text 因為你們就只有寫說你們的智庫怎麼樣所以說你們現在可以看一下那個PowerPoint上面我有這幾個問題就是我希望說智庫的名稱還有希望能夠把它公開我另外也希望知道一個點就是說當時他們在做這些評估的時候他有沒有邀請公總還有一些協會去做一些了解這個我也必須要知道一下另外就是
transcript.whisperx[34].start 793.222
transcript.whisperx[34].end 809.233
transcript.whisperx[34].text 這個你們所謂的適當情況的這個定義這個我也想要反正你們就看一下這上面這幾個點我都希望能夠知道這個也是國人非常希望知道的那還有就是我剛提到三種情況就是10%或者是上調到15%或者是
transcript.whisperx[35].start 812.779
transcript.whisperx[35].end 831.919
transcript.whisperx[35].text 在動用了301這個最不幸的狀況發生之後前面兩項有沒有做出一些評估前面兩項已經做了因為301的部分怎麼樣還沒有就是美方還沒有怎麼樣還沒有說明他的調查方式調查方式調查項目那10%加MFN的衝擊分析以及15%加MFN的衝擊分析已經做了已經用記者會先用
transcript.whisperx[36].start 836.404
transcript.whisperx[36].end 860.183
transcript.whisperx[36].text 這個整體說明那接下來我們當然會密切關注他啟動301或其他法律途徑我們都會來積極因應所以我們對跟委員報我們講說我們有信心在後續變動中確保爭取原來鞏固談判成果那這樣至少前面兩個啦你們說10跟15的部分你們這個已經完畢了嘛那這有沒有辦法兩個禮拜內先給我這個已經可以確定的部分
transcript.whisperx[37].start 861.412
transcript.whisperx[37].end 883.926
transcript.whisperx[37].text 我再跟那個智庫了解一下就是說可以揭露到什麼地步因為這個是也是有智慧財產權不過我還是要覺得不是啊 這個是公家委託委託這個智庫去做的嘛這個提供給國會這個應該不是什麼智慧財產權的問題啊是 但是就是說我看看可以揭露到什麼地步我們盡可能可以公布的部分全部公布
transcript.whisperx[38].start 886.189
transcript.whisperx[38].end 898.595
transcript.whisperx[38].text 不然你還是盡快給我啦好不好盡快反正你們如果一直沒有給我可能就只好請我去跟你們要那當然你說那個後續的部分因為美方那邊動作還沒有完成那你說不知道那我當然可以接受
transcript.whisperx[39].start 899.332
transcript.whisperx[39].end 924.599
transcript.whisperx[39].text 但是可以的部分我還是要先去弄清楚到底這些智庫講了什麼那最後其實我還要再跟你們提一個點其實像我國也是有很多相關的國內的法律啦那譬如說我們關稅法70條它其實也有一些規範我們可以去因應就我剛講的那個7.4的第二項裡面我國到底有什麼樣的法律依據可以用其實像剛剛你們講的很清楚
transcript.whisperx[40].start 925.259
transcript.whisperx[40].end 949.373
transcript.whisperx[40].text 那另外呢 我覺得我們的關稅法也有提到所以相關的因應總是我們要讓人民知道這是一個對等這是一個對等的協定不是說美方說了算所以麻煩一下這幾個東西都能夠把我放到你們的評估報告裡面然後盡快能夠給我 好不好好 謝謝謝謝吳宗憲委員 指定謝謝卓院長 鄭副院長 國務部長備詢 謝謝
transcript.whisperx[41].start 954.997
transcript.whisperx[41].end 958.145
transcript.whisperx[41].text 接下来我们咨询的委员外汇文咨询完