iVOD / 168869

Field Value
IVOD_ID 168869
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168869
日期 2026-04-28
會議資料.會議代碼 院會-11-5-8
會議資料.會議代碼:str 第11屆第5會期第8次會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 8
會議資料.種類 院會
會議資料.標題 第11屆第5會期第8次會議
影片種類 Clip
開始時間 2026-04-28T09:45:01+08:00
結束時間 2026-04-28T10:03:26+08:00
影片長度 00:18:25
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/35437261a170eb0387059b67dec8cebf66e90e72df29f72fb7c213fc50a082c6ae5e27c9773548e45ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 邱鎮軍
委員發言時間 09:45:01 - 10:03:26
會議時間 2026-04-28T09:00:00+08:00
會議名稱 第11屆第5會期第8次會議(事由:一、討論事項:本院民進黨黨團,建請院會作成決議:「一、立法院不分朝野堅定支持我國總統進行對外國是訪問,堅持台灣人有走向世界,與世界各國交往合作的權利。二、嚴正譴責中華人民共和國政府以脅迫手段迫使第三國撤銷我國元首專機飛航許可之粗暴行為,違反聯合國憲章、國際民航公約精神、外交關係慣例,並構成對第三國主權之公然干涉。三、促請外交部、駐外館處、國際民航組織(ICAO)之友我代表及所有可行管道,將本事件列入國際紀錄,且尋求國際民航組織、聯合國人權理事會等多邊機制之關注與因應,並就中華人民共和國對我國長期之脅迫行為,研擬完整之法律文件與政策白皮書,於年度外交報告中專章說明。四、呼籲世界上所有理念相近之民主夥伴,正視中華人民共和國對他國實施經濟與外交脅迫之行為,將其納入各國『反脅迫』(anti-coercion)之政策工具與立法檢討。並以具體行動聲援我國維護正當國際交往之權利,共同捍衛以規則為基礎之國際秩序、自由開放之國際航空體系,以及中小型國家免於威權霸凌之主權空間。中華民國是主權獨立的民主國家,任何外部勢力之脅迫、封鎖或打壓,皆不能改變我國走向世界、與民主夥伴並肩同行之決心。本院全體委員將超越黨派立場,團結一致,捍衛國家主權、民主自由與國際尊嚴。」是否有當?請公決案等2案。二、對行政院院長提出施政方針及施政報告繼續質詢。三、同意權之行使事項:本院司法及法制、內政兩委員會報告審查「總統咨,為最高檢察署檢察總長邢泰釗任期於115年5月7日屆滿,茲依法院組織法第66條第2項規定,提名徐錫祥為最高檢察署檢察總長,咨請同意案」案。(5月5日上午)四、審計長列席報告中華民國113年度中央政府總決算審核報告等案審核經過並備諮詢。(5月5日下午)五、4月24日上午9時至10時為國是論壇時間。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 44.42909375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 44.49659375
transcript.pyannote[1].end 48.69846875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 48.69846875
transcript.pyannote[2].end 64.40909375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 64.35846875
transcript.pyannote[3].end 68.20596875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 68.76284375
transcript.pyannote[4].end 68.77971875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 68.77971875
transcript.pyannote[5].end 68.83034375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 68.83034375
transcript.pyannote[6].end 68.96534375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 68.96534375
transcript.pyannote[7].end 91.89846875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 71.80034375
transcript.pyannote[8].end 73.60596875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 75.12471875
transcript.pyannote[9].end 75.39471875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 87.54471875
transcript.pyannote[10].end 88.81034375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 91.89846875
transcript.pyannote[11].end 119.42159375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 97.72034375
transcript.pyannote[12].end 97.73721875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 97.73721875
transcript.pyannote[13].end 98.05784375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 119.69159375
transcript.pyannote[14].end 123.79221875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 122.72909375
transcript.pyannote[15].end 122.76284375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 122.76284375
transcript.pyannote[16].end 122.81346875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 122.81346875
transcript.pyannote[17].end 123.60659375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 128.28096875
transcript.pyannote[18].end 132.83721875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 133.66409375
transcript.pyannote[19].end 134.52471875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 135.01409375
transcript.pyannote[20].end 149.12159375
transcript.pyannote[21].speaker SPEAKER_04
transcript.pyannote[21].start 158.57159375
transcript.pyannote[21].end 164.30909375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 164.81534375
transcript.pyannote[22].end 168.08909375
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 179.39534375
transcript.pyannote[23].end 179.41221875
transcript.pyannote[24].speaker SPEAKER_04
transcript.pyannote[24].start 179.41221875
transcript.pyannote[24].end 179.44596875
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 179.44596875
transcript.pyannote[25].end 179.96909375
transcript.pyannote[26].speaker SPEAKER_04
transcript.pyannote[26].start 179.96909375
transcript.pyannote[26].end 180.01971875
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 180.01971875
transcript.pyannote[27].end 180.08721875
transcript.pyannote[28].speaker SPEAKER_04
transcript.pyannote[28].start 180.20534375
transcript.pyannote[28].end 188.17034375
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 180.72846875
transcript.pyannote[29].end 181.94346875
transcript.pyannote[30].speaker SPEAKER_04
transcript.pyannote[30].start 188.22096875
transcript.pyannote[30].end 190.31346875
transcript.pyannote[31].speaker SPEAKER_04
transcript.pyannote[31].start 190.61721875
transcript.pyannote[31].end 193.85721875
transcript.pyannote[32].speaker SPEAKER_04
transcript.pyannote[32].start 194.14409375
transcript.pyannote[32].end 201.53534375
transcript.pyannote[33].speaker SPEAKER_04
transcript.pyannote[33].start 201.73784375
transcript.pyannote[33].end 208.89284375
transcript.pyannote[34].speaker SPEAKER_04
transcript.pyannote[34].start 209.53409375
transcript.pyannote[34].end 210.00659375
transcript.pyannote[35].speaker SPEAKER_04
transcript.pyannote[35].start 210.47909375
transcript.pyannote[35].end 211.96409375
transcript.pyannote[36].speaker SPEAKER_04
transcript.pyannote[36].start 212.52096875
transcript.pyannote[36].end 217.39784375
transcript.pyannote[37].speaker SPEAKER_04
transcript.pyannote[37].start 217.78596875
transcript.pyannote[37].end 219.08534375
transcript.pyannote[38].speaker SPEAKER_04
transcript.pyannote[38].start 219.43971875
transcript.pyannote[38].end 220.73909375
transcript.pyannote[39].speaker SPEAKER_04
transcript.pyannote[39].start 221.07659375
transcript.pyannote[39].end 223.81034375
transcript.pyannote[40].speaker SPEAKER_04
transcript.pyannote[40].start 224.28284375
transcript.pyannote[40].end 225.73409375
transcript.pyannote[41].speaker SPEAKER_04
transcript.pyannote[41].start 225.85221875
transcript.pyannote[41].end 231.52221875
transcript.pyannote[42].speaker SPEAKER_04
transcript.pyannote[42].start 231.85971875
transcript.pyannote[42].end 241.74846875
transcript.pyannote[43].speaker SPEAKER_04
transcript.pyannote[43].start 242.00159375
transcript.pyannote[43].end 242.65971875
transcript.pyannote[44].speaker SPEAKER_04
transcript.pyannote[44].start 243.53721875
transcript.pyannote[44].end 243.90846875
transcript.pyannote[45].speaker SPEAKER_04
transcript.pyannote[45].start 244.22909375
transcript.pyannote[45].end 246.03471875
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 246.03471875
transcript.pyannote[46].end 246.86159375
transcript.pyannote[47].speaker SPEAKER_04
transcript.pyannote[47].start 246.86159375
transcript.pyannote[47].end 246.91221875
transcript.pyannote[48].speaker SPEAKER_04
transcript.pyannote[48].start 247.58721875
transcript.pyannote[48].end 247.60409375
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 247.60409375
transcript.pyannote[49].end 251.45159375
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 251.85659375
transcript.pyannote[50].end 255.97409375
transcript.pyannote[51].speaker SPEAKER_04
transcript.pyannote[51].start 254.43846875
transcript.pyannote[51].end 254.92784375
transcript.pyannote[52].speaker SPEAKER_04
transcript.pyannote[52].start 255.97409375
transcript.pyannote[52].end 257.05409375
transcript.pyannote[53].speaker SPEAKER_04
transcript.pyannote[53].start 257.69534375
transcript.pyannote[53].end 263.60159375
transcript.pyannote[54].speaker SPEAKER_04
transcript.pyannote[54].start 264.52971875
transcript.pyannote[54].end 268.56284375
transcript.pyannote[55].speaker SPEAKER_04
transcript.pyannote[55].start 268.69784375
transcript.pyannote[55].end 277.48971875
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 276.39284375
transcript.pyannote[56].end 282.48471875
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 282.70409375
transcript.pyannote[57].end 285.31971875
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 285.58971875
transcript.pyannote[58].end 290.39909375
transcript.pyannote[59].speaker SPEAKER_04
transcript.pyannote[59].start 286.72034375
transcript.pyannote[59].end 287.04096875
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 290.58471875
transcript.pyannote[60].end 292.42409375
transcript.pyannote[61].speaker SPEAKER_04
transcript.pyannote[61].start 292.42409375
transcript.pyannote[61].end 292.44096875
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 292.69409375
transcript.pyannote[62].end 292.96409375
transcript.pyannote[63].speaker SPEAKER_04
transcript.pyannote[63].start 292.96409375
transcript.pyannote[63].end 301.18221875
transcript.pyannote[64].speaker SPEAKER_04
transcript.pyannote[64].start 301.21596875
transcript.pyannote[64].end 302.97096875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 301.26659375
transcript.pyannote[65].end 314.71596875
transcript.pyannote[66].speaker SPEAKER_04
transcript.pyannote[66].start 315.13784375
transcript.pyannote[66].end 322.15784375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 317.83784375
transcript.pyannote[67].end 318.12471875
transcript.pyannote[68].speaker SPEAKER_04
transcript.pyannote[68].start 322.37721875
transcript.pyannote[68].end 325.58346875
transcript.pyannote[69].speaker SPEAKER_04
transcript.pyannote[69].start 325.98846875
transcript.pyannote[69].end 328.06409375
transcript.pyannote[70].speaker SPEAKER_04
transcript.pyannote[70].start 328.33409375
transcript.pyannote[70].end 329.02596875
transcript.pyannote[71].speaker SPEAKER_04
transcript.pyannote[71].start 329.43096875
transcript.pyannote[71].end 334.62846875
transcript.pyannote[72].speaker SPEAKER_04
transcript.pyannote[72].start 335.33721875
transcript.pyannote[72].end 345.83346875
transcript.pyannote[73].speaker SPEAKER_04
transcript.pyannote[73].start 346.05284375
transcript.pyannote[73].end 350.25471875
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 351.36846875
transcript.pyannote[74].end 353.56221875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 353.73096875
transcript.pyannote[75].end 358.40534375
transcript.pyannote[76].speaker SPEAKER_03
transcript.pyannote[76].start 358.79346875
transcript.pyannote[76].end 370.80846875
transcript.pyannote[77].speaker SPEAKER_04
transcript.pyannote[77].start 361.96596875
transcript.pyannote[77].end 362.82659375
transcript.pyannote[78].speaker SPEAKER_04
transcript.pyannote[78].start 367.65284375
transcript.pyannote[78].end 367.66971875
transcript.pyannote[79].speaker SPEAKER_05
transcript.pyannote[79].start 367.66971875
transcript.pyannote[79].end 368.20971875
transcript.pyannote[80].speaker SPEAKER_04
transcript.pyannote[80].start 368.20971875
transcript.pyannote[80].end 368.24346875
transcript.pyannote[81].speaker SPEAKER_05
transcript.pyannote[81].start 368.24346875
transcript.pyannote[81].end 368.26034375
transcript.pyannote[82].speaker SPEAKER_04
transcript.pyannote[82].start 368.26034375
transcript.pyannote[82].end 368.31096875
transcript.pyannote[83].speaker SPEAKER_05
transcript.pyannote[83].start 368.31096875
transcript.pyannote[83].end 368.34471875
transcript.pyannote[84].speaker SPEAKER_04
transcript.pyannote[84].start 368.34471875
transcript.pyannote[84].end 369.12096875
transcript.pyannote[85].speaker SPEAKER_05
transcript.pyannote[85].start 371.56784375
transcript.pyannote[85].end 374.58846875
transcript.pyannote[86].speaker SPEAKER_05
transcript.pyannote[86].start 374.77409375
transcript.pyannote[86].end 374.80784375
transcript.pyannote[87].speaker SPEAKER_04
transcript.pyannote[87].start 374.80784375
transcript.pyannote[87].end 375.04409375
transcript.pyannote[88].speaker SPEAKER_05
transcript.pyannote[88].start 375.48284375
transcript.pyannote[88].end 377.32221875
transcript.pyannote[89].speaker SPEAKER_04
transcript.pyannote[89].start 375.55034375
transcript.pyannote[89].end 378.04784375
transcript.pyannote[90].speaker SPEAKER_05
transcript.pyannote[90].start 379.14471875
transcript.pyannote[90].end 383.80221875
transcript.pyannote[91].speaker SPEAKER_04
transcript.pyannote[91].start 382.31721875
transcript.pyannote[91].end 387.26159375
transcript.pyannote[92].speaker SPEAKER_05
transcript.pyannote[92].start 386.51909375
transcript.pyannote[92].end 394.28159375
transcript.pyannote[93].speaker SPEAKER_04
transcript.pyannote[93].start 394.21409375
transcript.pyannote[93].end 397.55534375
transcript.pyannote[94].speaker SPEAKER_04
transcript.pyannote[94].start 398.46659375
transcript.pyannote[94].end 400.03596875
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 401.04846875
transcript.pyannote[95].end 409.04721875
transcript.pyannote[96].speaker SPEAKER_04
transcript.pyannote[96].start 403.86659375
transcript.pyannote[96].end 404.96346875
transcript.pyannote[97].speaker SPEAKER_04
transcript.pyannote[97].start 406.07721875
transcript.pyannote[97].end 408.96284375
transcript.pyannote[98].speaker SPEAKER_04
transcript.pyannote[98].start 409.04721875
transcript.pyannote[98].end 409.06409375
transcript.pyannote[99].speaker SPEAKER_04
transcript.pyannote[99].start 410.44784375
transcript.pyannote[99].end 416.15159375
transcript.pyannote[100].speaker SPEAKER_04
transcript.pyannote[100].start 416.21909375
transcript.pyannote[100].end 419.29034375
transcript.pyannote[101].speaker SPEAKER_05
transcript.pyannote[101].start 419.84721875
transcript.pyannote[101].end 423.67784375
transcript.pyannote[102].speaker SPEAKER_05
transcript.pyannote[102].start 423.93096875
transcript.pyannote[102].end 429.29721875
transcript.pyannote[103].speaker SPEAKER_04
transcript.pyannote[103].start 428.25096875
transcript.pyannote[103].end 429.21284375
transcript.pyannote[104].speaker SPEAKER_04
transcript.pyannote[104].start 429.29721875
transcript.pyannote[104].end 433.63409375
transcript.pyannote[105].speaker SPEAKER_04
transcript.pyannote[105].start 433.90409375
transcript.pyannote[105].end 436.11471875
transcript.pyannote[106].speaker SPEAKER_04
transcript.pyannote[106].start 436.48596875
transcript.pyannote[106].end 438.13971875
transcript.pyannote[107].speaker SPEAKER_04
transcript.pyannote[107].start 438.35909375
transcript.pyannote[107].end 441.14346875
transcript.pyannote[108].speaker SPEAKER_04
transcript.pyannote[108].start 441.75096875
transcript.pyannote[108].end 442.22346875
transcript.pyannote[109].speaker SPEAKER_04
transcript.pyannote[109].start 442.72971875
transcript.pyannote[109].end 443.80971875
transcript.pyannote[110].speaker SPEAKER_04
transcript.pyannote[110].start 444.41721875
transcript.pyannote[110].end 445.44659375
transcript.pyannote[111].speaker SPEAKER_04
transcript.pyannote[111].start 445.90221875
transcript.pyannote[111].end 446.71221875
transcript.pyannote[112].speaker SPEAKER_04
transcript.pyannote[112].start 447.15096875
transcript.pyannote[112].end 448.43346875
transcript.pyannote[113].speaker SPEAKER_04
transcript.pyannote[113].start 449.05784375
transcript.pyannote[113].end 450.47534375
transcript.pyannote[114].speaker SPEAKER_04
transcript.pyannote[114].start 451.01534375
transcript.pyannote[114].end 453.51284375
transcript.pyannote[115].speaker SPEAKER_04
transcript.pyannote[115].start 453.81659375
transcript.pyannote[115].end 456.34784375
transcript.pyannote[116].speaker SPEAKER_04
transcript.pyannote[116].start 457.00596875
transcript.pyannote[116].end 460.58346875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 458.92971875
transcript.pyannote[117].end 458.94659375
transcript.pyannote[118].speaker SPEAKER_04
transcript.pyannote[118].start 461.00534375
transcript.pyannote[118].end 464.49846875
transcript.pyannote[119].speaker SPEAKER_04
transcript.pyannote[119].start 464.71784375
transcript.pyannote[119].end 467.09721875
transcript.pyannote[120].speaker SPEAKER_04
transcript.pyannote[120].start 467.83971875
transcript.pyannote[120].end 469.03784375
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 469.03784375
transcript.pyannote[121].end 469.07159375
transcript.pyannote[122].speaker SPEAKER_04
transcript.pyannote[122].start 469.07159375
transcript.pyannote[122].end 469.08846875
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 469.08846875
transcript.pyannote[123].end 469.10534375
transcript.pyannote[124].speaker SPEAKER_03
transcript.pyannote[124].start 471.01221875
transcript.pyannote[124].end 473.44221875
transcript.pyannote[125].speaker SPEAKER_03
transcript.pyannote[125].start 473.72909375
transcript.pyannote[125].end 474.55596875
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 474.80909375
transcript.pyannote[126].end 477.39096875
transcript.pyannote[127].speaker SPEAKER_04
transcript.pyannote[127].start 476.58096875
transcript.pyannote[127].end 479.66909375
transcript.pyannote[128].speaker SPEAKER_04
transcript.pyannote[128].start 480.02346875
transcript.pyannote[128].end 480.39471875
transcript.pyannote[129].speaker SPEAKER_04
transcript.pyannote[129].start 480.74909375
transcript.pyannote[129].end 484.29284375
transcript.pyannote[130].speaker SPEAKER_04
transcript.pyannote[130].start 484.51221875
transcript.pyannote[130].end 487.14471875
transcript.pyannote[131].speaker SPEAKER_04
transcript.pyannote[131].start 487.27971875
transcript.pyannote[131].end 491.07659375
transcript.pyannote[132].speaker SPEAKER_04
transcript.pyannote[132].start 492.81471875
transcript.pyannote[132].end 493.64159375
transcript.pyannote[133].speaker SPEAKER_04
transcript.pyannote[133].start 493.89471875
transcript.pyannote[133].end 497.55659375
transcript.pyannote[134].speaker SPEAKER_04
transcript.pyannote[134].start 497.99534375
transcript.pyannote[134].end 501.40409375
transcript.pyannote[135].speaker SPEAKER_04
transcript.pyannote[135].start 501.50534375
transcript.pyannote[135].end 504.30659375
transcript.pyannote[136].speaker SPEAKER_04
transcript.pyannote[136].start 504.64409375
transcript.pyannote[136].end 506.90534375
transcript.pyannote[137].speaker SPEAKER_04
transcript.pyannote[137].start 507.25971875
transcript.pyannote[137].end 508.69409375
transcript.pyannote[138].speaker SPEAKER_04
transcript.pyannote[138].start 508.87971875
transcript.pyannote[138].end 510.26346875
transcript.pyannote[139].speaker SPEAKER_04
transcript.pyannote[139].start 510.56721875
transcript.pyannote[139].end 512.92971875
transcript.pyannote[140].speaker SPEAKER_04
transcript.pyannote[140].start 512.98034375
transcript.pyannote[140].end 514.65096875
transcript.pyannote[141].speaker SPEAKER_04
transcript.pyannote[141].start 514.92096875
transcript.pyannote[141].end 515.71409375
transcript.pyannote[142].speaker SPEAKER_04
transcript.pyannote[142].start 516.01784375
transcript.pyannote[142].end 516.87846875
transcript.pyannote[143].speaker SPEAKER_04
transcript.pyannote[143].start 517.11471875
transcript.pyannote[143].end 519.08909375
transcript.pyannote[144].speaker SPEAKER_04
transcript.pyannote[144].start 519.73034375
transcript.pyannote[144].end 521.50221875
transcript.pyannote[145].speaker SPEAKER_04
transcript.pyannote[145].start 521.87346875
transcript.pyannote[145].end 525.02909375
transcript.pyannote[146].speaker SPEAKER_04
transcript.pyannote[146].start 525.34971875
transcript.pyannote[146].end 527.77971875
transcript.pyannote[147].speaker SPEAKER_04
transcript.pyannote[147].start 528.50534375
transcript.pyannote[147].end 529.58534375
transcript.pyannote[148].speaker SPEAKER_04
transcript.pyannote[148].start 530.07471875
transcript.pyannote[148].end 531.91409375
transcript.pyannote[149].speaker SPEAKER_04
transcript.pyannote[149].start 532.01534375
transcript.pyannote[149].end 536.65596875
transcript.pyannote[150].speaker SPEAKER_04
transcript.pyannote[150].start 537.33096875
transcript.pyannote[150].end 540.97596875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 537.48284375
transcript.pyannote[151].end 547.92846875
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 547.99596875
transcript.pyannote[152].end 564.66846875
transcript.pyannote[153].speaker SPEAKER_04
transcript.pyannote[153].start 560.98971875
transcript.pyannote[153].end 565.27596875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 565.27596875
transcript.pyannote[154].end 567.08159375
transcript.pyannote[155].speaker SPEAKER_04
transcript.pyannote[155].start 567.08159375
transcript.pyannote[155].end 567.13221875
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 567.13221875
transcript.pyannote[156].end 576.32909375
transcript.pyannote[157].speaker SPEAKER_04
transcript.pyannote[157].start 575.41784375
transcript.pyannote[157].end 579.23159375
transcript.pyannote[158].speaker SPEAKER_04
transcript.pyannote[158].start 579.43409375
transcript.pyannote[158].end 582.08346875
transcript.pyannote[159].speaker SPEAKER_04
transcript.pyannote[159].start 582.31971875
transcript.pyannote[159].end 584.26034375
transcript.pyannote[160].speaker SPEAKER_04
transcript.pyannote[160].start 584.91846875
transcript.pyannote[160].end 585.86346875
transcript.pyannote[161].speaker SPEAKER_04
transcript.pyannote[161].start 586.01534375
transcript.pyannote[161].end 592.71471875
transcript.pyannote[162].speaker SPEAKER_04
transcript.pyannote[162].start 592.91721875
transcript.pyannote[162].end 593.28846875
transcript.pyannote[163].speaker SPEAKER_04
transcript.pyannote[163].start 593.69346875
transcript.pyannote[163].end 595.02659375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 595.02659375
transcript.pyannote[164].end 595.09409375
transcript.pyannote[165].speaker SPEAKER_04
transcript.pyannote[165].start 595.09409375
transcript.pyannote[165].end 595.54971875
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 595.54971875
transcript.pyannote[166].end 595.56659375
transcript.pyannote[167].speaker SPEAKER_04
transcript.pyannote[167].start 596.19096875
transcript.pyannote[167].end 596.20784375
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 596.20784375
transcript.pyannote[168].end 597.42284375
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 597.60846875
transcript.pyannote[169].end 604.44284375
transcript.pyannote[170].speaker SPEAKER_04
transcript.pyannote[170].start 601.82721875
transcript.pyannote[170].end 606.09659375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 606.09659375
transcript.pyannote[171].end 606.50159375
transcript.pyannote[172].speaker SPEAKER_04
transcript.pyannote[172].start 606.50159375
transcript.pyannote[172].end 606.51846875
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 606.51846875
transcript.pyannote[173].end 624.96284375
transcript.pyannote[174].speaker SPEAKER_04
transcript.pyannote[174].start 620.11971875
transcript.pyannote[174].end 621.14909375
transcript.pyannote[175].speaker SPEAKER_04
transcript.pyannote[175].start 624.96284375
transcript.pyannote[175].end 631.03784375
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 627.24096875
transcript.pyannote[176].end 630.26159375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 631.03784375
transcript.pyannote[177].end 646.22534375
transcript.pyannote[178].speaker SPEAKER_04
transcript.pyannote[178].start 646.22534375
transcript.pyannote[178].end 646.30971875
transcript.pyannote[179].speaker SPEAKER_04
transcript.pyannote[179].start 646.32659375
transcript.pyannote[179].end 648.67221875
transcript.pyannote[180].speaker SPEAKER_04
transcript.pyannote[180].start 649.60034375
transcript.pyannote[180].end 650.84909375
transcript.pyannote[181].speaker SPEAKER_04
transcript.pyannote[181].start 651.22034375
transcript.pyannote[181].end 654.27471875
transcript.pyannote[182].speaker SPEAKER_04
transcript.pyannote[182].start 654.64596875
transcript.pyannote[182].end 658.54409375
transcript.pyannote[183].speaker SPEAKER_04
transcript.pyannote[183].start 659.08409375
transcript.pyannote[183].end 662.30721875
transcript.pyannote[184].speaker SPEAKER_04
transcript.pyannote[184].start 662.59409375
transcript.pyannote[184].end 669.52971875
transcript.pyannote[185].speaker SPEAKER_04
transcript.pyannote[185].start 669.98534375
transcript.pyannote[185].end 672.29721875
transcript.pyannote[186].speaker SPEAKER_04
transcript.pyannote[186].start 672.51659375
transcript.pyannote[186].end 674.33909375
transcript.pyannote[187].speaker SPEAKER_04
transcript.pyannote[187].start 675.77346875
transcript.pyannote[187].end 676.02659375
transcript.pyannote[188].speaker SPEAKER_04
transcript.pyannote[188].start 677.00534375
transcript.pyannote[188].end 677.88284375
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 679.40159375
transcript.pyannote[189].end 683.31659375
transcript.pyannote[190].speaker SPEAKER_03
transcript.pyannote[190].start 683.68784375
transcript.pyannote[190].end 687.90659375
transcript.pyannote[191].speaker SPEAKER_04
transcript.pyannote[191].start 686.08409375
transcript.pyannote[191].end 692.32784375
transcript.pyannote[192].speaker SPEAKER_04
transcript.pyannote[192].start 692.63159375
transcript.pyannote[192].end 697.30596875
transcript.pyannote[193].speaker SPEAKER_03
transcript.pyannote[193].start 694.33596875
transcript.pyannote[193].end 696.61409375
transcript.pyannote[194].speaker SPEAKER_04
transcript.pyannote[194].start 697.45784375
transcript.pyannote[194].end 698.03159375
transcript.pyannote[195].speaker SPEAKER_03
transcript.pyannote[195].start 697.50846875
transcript.pyannote[195].end 699.24659375
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 698.03159375
transcript.pyannote[196].end 698.31846875
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 699.24659375
transcript.pyannote[197].end 699.38159375
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 699.80346875
transcript.pyannote[198].end 708.67971875
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 699.83721875
transcript.pyannote[199].end 700.68096875
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 701.11971875
transcript.pyannote[200].end 701.81159375
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 709.75971875
transcript.pyannote[201].end 729.46971875
transcript.pyannote[202].speaker SPEAKER_04
transcript.pyannote[202].start 728.28846875
transcript.pyannote[202].end 729.60471875
transcript.pyannote[203].speaker SPEAKER_04
transcript.pyannote[203].start 730.17846875
transcript.pyannote[203].end 730.22909375
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 730.22909375
transcript.pyannote[204].end 731.64659375
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 732.28784375
transcript.pyannote[205].end 740.06721875
transcript.pyannote[206].speaker SPEAKER_04
transcript.pyannote[206].start 738.64971875
transcript.pyannote[206].end 741.65346875
transcript.pyannote[207].speaker SPEAKER_04
transcript.pyannote[207].start 742.34534375
transcript.pyannote[207].end 743.64471875
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 742.41284375
transcript.pyannote[208].end 743.61096875
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 745.60221875
transcript.pyannote[209].end 747.44159375
transcript.pyannote[210].speaker SPEAKER_04
transcript.pyannote[210].start 746.04096875
transcript.pyannote[210].end 747.13784375
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 747.91409375
transcript.pyannote[211].end 754.68096875
transcript.pyannote[212].speaker SPEAKER_04
transcript.pyannote[212].start 752.92596875
transcript.pyannote[212].end 754.63034375
transcript.pyannote[213].speaker SPEAKER_04
transcript.pyannote[213].start 754.68096875
transcript.pyannote[213].end 754.73159375
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 754.73159375
transcript.pyannote[214].end 754.83284375
transcript.pyannote[215].speaker SPEAKER_04
transcript.pyannote[215].start 754.83284375
transcript.pyannote[215].end 754.93409375
transcript.pyannote[216].speaker SPEAKER_02
transcript.pyannote[216].start 754.93409375
transcript.pyannote[216].end 754.96784375
transcript.pyannote[217].speaker SPEAKER_04
transcript.pyannote[217].start 754.96784375
transcript.pyannote[217].end 758.64659375
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 755.15346875
transcript.pyannote[218].end 755.18721875
transcript.pyannote[219].speaker SPEAKER_04
transcript.pyannote[219].start 758.74784375
transcript.pyannote[219].end 775.03221875
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 775.03221875
transcript.pyannote[220].end 792.88596875
transcript.pyannote[221].speaker SPEAKER_04
transcript.pyannote[221].start 793.34159375
transcript.pyannote[221].end 803.36534375
transcript.pyannote[222].speaker SPEAKER_04
transcript.pyannote[222].start 803.60159375
transcript.pyannote[222].end 805.72784375
transcript.pyannote[223].speaker SPEAKER_04
transcript.pyannote[223].start 805.86284375
transcript.pyannote[223].end 808.78221875
transcript.pyannote[224].speaker SPEAKER_04
transcript.pyannote[224].start 809.06909375
transcript.pyannote[224].end 815.22846875
transcript.pyannote[225].speaker SPEAKER_04
transcript.pyannote[225].start 815.41409375
transcript.pyannote[225].end 817.06784375
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 817.06784375
transcript.pyannote[226].end 817.08471875
transcript.pyannote[227].speaker SPEAKER_04
transcript.pyannote[227].start 817.67534375
transcript.pyannote[227].end 817.70909375
transcript.pyannote[228].speaker SPEAKER_02
transcript.pyannote[228].start 817.70909375
transcript.pyannote[228].end 824.88096875
transcript.pyannote[229].speaker SPEAKER_02
transcript.pyannote[229].start 825.01596875
transcript.pyannote[229].end 825.03284375
transcript.pyannote[230].speaker SPEAKER_02
transcript.pyannote[230].start 825.04971875
transcript.pyannote[230].end 827.17596875
transcript.pyannote[231].speaker SPEAKER_04
transcript.pyannote[231].start 827.69909375
transcript.pyannote[231].end 827.93534375
transcript.pyannote[232].speaker SPEAKER_04
transcript.pyannote[232].start 828.40784375
transcript.pyannote[232].end 828.71159375
transcript.pyannote[233].speaker SPEAKER_04
transcript.pyannote[233].start 828.79596875
transcript.pyannote[233].end 828.84659375
transcript.pyannote[234].speaker SPEAKER_02
transcript.pyannote[234].start 828.84659375
transcript.pyannote[234].end 828.99846875
transcript.pyannote[235].speaker SPEAKER_04
transcript.pyannote[235].start 828.99846875
transcript.pyannote[235].end 829.60596875
transcript.pyannote[236].speaker SPEAKER_02
transcript.pyannote[236].start 829.87596875
transcript.pyannote[236].end 829.89284375
transcript.pyannote[237].speaker SPEAKER_04
transcript.pyannote[237].start 829.89284375
transcript.pyannote[237].end 829.96034375
transcript.pyannote[238].speaker SPEAKER_02
transcript.pyannote[238].start 829.96034375
transcript.pyannote[238].end 829.97721875
transcript.pyannote[239].speaker SPEAKER_04
transcript.pyannote[239].start 829.97721875
transcript.pyannote[239].end 831.74909375
transcript.pyannote[240].speaker SPEAKER_04
transcript.pyannote[240].start 832.12034375
transcript.pyannote[240].end 834.56721875
transcript.pyannote[241].speaker SPEAKER_04
transcript.pyannote[241].start 834.66846875
transcript.pyannote[241].end 835.74846875
transcript.pyannote[242].speaker SPEAKER_04
transcript.pyannote[242].start 836.37284375
transcript.pyannote[242].end 838.78596875
transcript.pyannote[243].speaker SPEAKER_04
transcript.pyannote[243].start 839.98409375
transcript.pyannote[243].end 841.35096875
transcript.pyannote[244].speaker SPEAKER_04
transcript.pyannote[244].start 841.65471875
transcript.pyannote[244].end 848.70846875
transcript.pyannote[245].speaker SPEAKER_03
transcript.pyannote[245].start 841.94159375
transcript.pyannote[245].end 842.49846875
transcript.pyannote[246].speaker SPEAKER_03
transcript.pyannote[246].start 848.70846875
transcript.pyannote[246].end 851.20596875
transcript.pyannote[247].speaker SPEAKER_03
transcript.pyannote[247].start 851.32409375
transcript.pyannote[247].end 854.31096875
transcript.pyannote[248].speaker SPEAKER_03
transcript.pyannote[248].start 854.47971875
transcript.pyannote[248].end 855.84659375
transcript.pyannote[249].speaker SPEAKER_04
transcript.pyannote[249].start 854.49659375
transcript.pyannote[249].end 858.91784375
transcript.pyannote[250].speaker SPEAKER_03
transcript.pyannote[250].start 859.39034375
transcript.pyannote[250].end 866.32596875
transcript.pyannote[251].speaker SPEAKER_04
transcript.pyannote[251].start 859.42409375
transcript.pyannote[251].end 860.26784375
transcript.pyannote[252].speaker SPEAKER_03
transcript.pyannote[252].start 866.64659375
transcript.pyannote[252].end 868.48596875
transcript.pyannote[253].speaker SPEAKER_03
transcript.pyannote[253].start 868.87409375
transcript.pyannote[253].end 872.99159375
transcript.pyannote[254].speaker SPEAKER_03
transcript.pyannote[254].start 873.14346875
transcript.pyannote[254].end 875.42159375
transcript.pyannote[255].speaker SPEAKER_03
transcript.pyannote[255].start 875.82659375
transcript.pyannote[255].end 876.99096875
transcript.pyannote[256].speaker SPEAKER_04
transcript.pyannote[256].start 876.99096875
transcript.pyannote[256].end 877.00784375
transcript.pyannote[257].speaker SPEAKER_04
transcript.pyannote[257].start 877.31159375
transcript.pyannote[257].end 879.74159375
transcript.pyannote[258].speaker SPEAKER_04
transcript.pyannote[258].start 880.06221875
transcript.pyannote[258].end 880.33221875
transcript.pyannote[259].speaker SPEAKER_04
transcript.pyannote[259].start 880.50096875
transcript.pyannote[259].end 887.57159375
transcript.pyannote[260].speaker SPEAKER_03
transcript.pyannote[260].start 887.99346875
transcript.pyannote[260].end 892.81971875
transcript.pyannote[261].speaker SPEAKER_03
transcript.pyannote[261].start 893.19096875
transcript.pyannote[261].end 894.22034375
transcript.pyannote[262].speaker SPEAKER_04
transcript.pyannote[262].start 894.22034375
transcript.pyannote[262].end 894.23721875
transcript.pyannote[263].speaker SPEAKER_03
transcript.pyannote[263].start 894.60846875
transcript.pyannote[263].end 894.96284375
transcript.pyannote[264].speaker SPEAKER_04
transcript.pyannote[264].start 894.96284375
transcript.pyannote[264].end 895.14846875
transcript.pyannote[265].speaker SPEAKER_03
transcript.pyannote[265].start 895.65471875
transcript.pyannote[265].end 895.67159375
transcript.pyannote[266].speaker SPEAKER_04
transcript.pyannote[266].start 895.67159375
transcript.pyannote[266].end 896.95409375
transcript.pyannote[267].speaker SPEAKER_04
transcript.pyannote[267].start 897.30846875
transcript.pyannote[267].end 901.76346875
transcript.pyannote[268].speaker SPEAKER_04
transcript.pyannote[268].start 902.64096875
transcript.pyannote[268].end 906.01596875
transcript.pyannote[269].speaker SPEAKER_03
transcript.pyannote[269].start 906.01596875
transcript.pyannote[269].end 906.04971875
transcript.pyannote[270].speaker SPEAKER_04
transcript.pyannote[270].start 906.53909375
transcript.pyannote[270].end 909.03659375
transcript.pyannote[271].speaker SPEAKER_03
transcript.pyannote[271].start 909.03659375
transcript.pyannote[271].end 910.67346875
transcript.pyannote[272].speaker SPEAKER_03
transcript.pyannote[272].start 911.07846875
transcript.pyannote[272].end 915.51659375
transcript.pyannote[273].speaker SPEAKER_03
transcript.pyannote[273].start 915.82034375
transcript.pyannote[273].end 918.16596875
transcript.pyannote[274].speaker SPEAKER_03
transcript.pyannote[274].start 918.55409375
transcript.pyannote[274].end 920.64659375
transcript.pyannote[275].speaker SPEAKER_04
transcript.pyannote[275].start 918.57096875
transcript.pyannote[275].end 921.32159375
transcript.pyannote[276].speaker SPEAKER_04
transcript.pyannote[276].start 921.54096875
transcript.pyannote[276].end 928.71284375
transcript.pyannote[277].speaker SPEAKER_04
transcript.pyannote[277].start 929.01659375
transcript.pyannote[277].end 930.50159375
transcript.pyannote[278].speaker SPEAKER_04
transcript.pyannote[278].start 930.56909375
transcript.pyannote[278].end 943.24221875
transcript.pyannote[279].speaker SPEAKER_03
transcript.pyannote[279].start 936.18846875
transcript.pyannote[279].end 936.45846875
transcript.pyannote[280].speaker SPEAKER_03
transcript.pyannote[280].start 938.50034375
transcript.pyannote[280].end 939.02346875
transcript.pyannote[281].speaker SPEAKER_04
transcript.pyannote[281].start 943.42784375
transcript.pyannote[281].end 949.90784375
transcript.pyannote[282].speaker SPEAKER_00
transcript.pyannote[282].start 944.03534375
transcript.pyannote[282].end 944.65971875
transcript.pyannote[283].speaker SPEAKER_04
transcript.pyannote[283].start 950.46471875
transcript.pyannote[283].end 954.32909375
transcript.pyannote[284].speaker SPEAKER_04
transcript.pyannote[284].start 954.86909375
transcript.pyannote[284].end 956.13471875
transcript.pyannote[285].speaker SPEAKER_05
transcript.pyannote[285].start 955.59471875
transcript.pyannote[285].end 960.70784375
transcript.pyannote[286].speaker SPEAKER_05
transcript.pyannote[286].start 961.01159375
transcript.pyannote[286].end 961.02846875
transcript.pyannote[287].speaker SPEAKER_04
transcript.pyannote[287].start 961.02846875
transcript.pyannote[287].end 968.43659375
transcript.pyannote[288].speaker SPEAKER_05
transcript.pyannote[288].start 961.09596875
transcript.pyannote[288].end 962.59784375
transcript.pyannote[289].speaker SPEAKER_04
transcript.pyannote[289].start 968.85846875
transcript.pyannote[289].end 972.01409375
transcript.pyannote[290].speaker SPEAKER_05
transcript.pyannote[290].start 972.62159375
transcript.pyannote[290].end 978.03846875
transcript.pyannote[291].speaker SPEAKER_05
transcript.pyannote[291].start 978.10596875
transcript.pyannote[291].end 982.98284375
transcript.pyannote[292].speaker SPEAKER_04
transcript.pyannote[292].start 982.34159375
transcript.pyannote[292].end 995.03159375
transcript.pyannote[293].speaker SPEAKER_05
transcript.pyannote[293].start 993.68159375
transcript.pyannote[293].end 994.99784375
transcript.pyannote[294].speaker SPEAKER_05
transcript.pyannote[294].start 995.43659375
transcript.pyannote[294].end 1003.57034375
transcript.pyannote[295].speaker SPEAKER_04
transcript.pyannote[295].start 1002.30471875
transcript.pyannote[295].end 1014.82596875
transcript.pyannote[296].speaker SPEAKER_03
transcript.pyannote[296].start 1015.11284375
transcript.pyannote[296].end 1022.58846875
transcript.pyannote[297].speaker SPEAKER_04
transcript.pyannote[297].start 1015.29846875
transcript.pyannote[297].end 1016.42909375
transcript.pyannote[298].speaker SPEAKER_04
transcript.pyannote[298].start 1021.50846875
transcript.pyannote[298].end 1022.43659375
transcript.pyannote[299].speaker SPEAKER_04
transcript.pyannote[299].start 1022.58846875
transcript.pyannote[299].end 1022.65596875
transcript.pyannote[300].speaker SPEAKER_03
transcript.pyannote[300].start 1022.65596875
transcript.pyannote[300].end 1022.97659375
transcript.pyannote[301].speaker SPEAKER_04
transcript.pyannote[301].start 1022.97659375
transcript.pyannote[301].end 1030.31721875
transcript.pyannote[302].speaker SPEAKER_05
transcript.pyannote[302].start 1029.22034375
transcript.pyannote[302].end 1032.96659375
transcript.pyannote[303].speaker SPEAKER_04
transcript.pyannote[303].start 1030.97534375
transcript.pyannote[303].end 1031.34659375
transcript.pyannote[304].speaker SPEAKER_04
transcript.pyannote[304].start 1031.97096875
transcript.pyannote[304].end 1045.53846875
transcript.pyannote[305].speaker SPEAKER_05
transcript.pyannote[305].start 1045.55534375
transcript.pyannote[305].end 1049.72346875
transcript.pyannote[306].speaker SPEAKER_04
transcript.pyannote[306].start 1050.14534375
transcript.pyannote[306].end 1052.32221875
transcript.pyannote[307].speaker SPEAKER_04
transcript.pyannote[307].start 1052.35596875
transcript.pyannote[307].end 1053.01409375
transcript.pyannote[308].speaker SPEAKER_04
transcript.pyannote[308].start 1053.55409375
transcript.pyannote[308].end 1053.99284375
transcript.pyannote[309].speaker SPEAKER_04
transcript.pyannote[309].start 1054.31346875
transcript.pyannote[309].end 1058.38034375
transcript.pyannote[310].speaker SPEAKER_04
transcript.pyannote[310].start 1058.85284375
transcript.pyannote[310].end 1062.09284375
transcript.pyannote[311].speaker SPEAKER_03
transcript.pyannote[311].start 1063.74659375
transcript.pyannote[311].end 1065.38346875
transcript.pyannote[312].speaker SPEAKER_04
transcript.pyannote[312].start 1065.38346875
transcript.pyannote[312].end 1065.61971875
transcript.pyannote[313].speaker SPEAKER_03
transcript.pyannote[313].start 1065.61971875
transcript.pyannote[313].end 1065.67034375
transcript.pyannote[314].speaker SPEAKER_04
transcript.pyannote[314].start 1065.67034375
transcript.pyannote[314].end 1065.87284375
transcript.pyannote[315].speaker SPEAKER_03
transcript.pyannote[315].start 1065.87284375
transcript.pyannote[315].end 1068.18471875
transcript.pyannote[316].speaker SPEAKER_04
transcript.pyannote[316].start 1066.12596875
transcript.pyannote[316].end 1066.76721875
transcript.pyannote[317].speaker SPEAKER_03
transcript.pyannote[317].start 1069.73721875
transcript.pyannote[317].end 1071.50909375
transcript.pyannote[318].speaker SPEAKER_03
transcript.pyannote[318].start 1071.91409375
transcript.pyannote[318].end 1074.19221875
transcript.pyannote[319].speaker SPEAKER_04
transcript.pyannote[319].start 1073.56784375
transcript.pyannote[319].end 1074.63096875
transcript.pyannote[320].speaker SPEAKER_03
transcript.pyannote[320].start 1075.27221875
transcript.pyannote[320].end 1076.20034375
transcript.pyannote[321].speaker SPEAKER_03
transcript.pyannote[321].start 1076.97659375
transcript.pyannote[321].end 1078.27596875
transcript.pyannote[322].speaker SPEAKER_04
transcript.pyannote[322].start 1077.55034375
transcript.pyannote[322].end 1077.82034375
transcript.pyannote[323].speaker SPEAKER_03
transcript.pyannote[323].start 1079.10284375
transcript.pyannote[323].end 1083.54096875
transcript.pyannote[324].speaker SPEAKER_04
transcript.pyannote[324].start 1080.58784375
transcript.pyannote[324].end 1084.18221875
transcript.pyannote[325].speaker SPEAKER_03
transcript.pyannote[325].start 1084.18221875
transcript.pyannote[325].end 1084.28346875
transcript.pyannote[326].speaker SPEAKER_04
transcript.pyannote[326].start 1084.28346875
transcript.pyannote[326].end 1084.31721875
transcript.pyannote[327].speaker SPEAKER_03
transcript.pyannote[327].start 1085.19471875
transcript.pyannote[327].end 1085.59971875
transcript.pyannote[328].speaker SPEAKER_01
transcript.pyannote[328].start 1097.69909375
transcript.pyannote[328].end 1100.38221875
transcript.pyannote[329].speaker SPEAKER_01
transcript.pyannote[329].start 1105.66409375
transcript.pyannote[329].end 1106.96346875
transcript.whisperx[0].start 1.43
transcript.whisperx[0].end 23.947
transcript.whisperx[0].text 農業部的部長我們要請教就是因為我們的大蒜是我們雲林縣的一個重點我們在三四月都是在做採收今年因為是氣貨變遷知道這個過程農業部已經有做了一些措施但是我現在就是還是要在這裡跟農民發聲就是說除了
transcript.whisperx[1].start 28.691
transcript.whisperx[1].end 52.708
transcript.whisperx[1].text 這個氣候變遷就變成常態了我們的存糧也太多了我們要如何來進口跟本產做一個調整不要讓農民的大蒜的價錢一直都是被壓制在很低的一個成本農業部有沒有做這樣的一個措施我跟委員報告其實大蒜的產業在雲林地區是一個非常重要的產業
transcript.whisperx[2].start 53.772
transcript.whisperx[2].end 67.944
transcript.whisperx[2].text 那國產的大概四萬一千多噸然後進口大概一萬三千多噸表示說國產的還是大於進口的部分進口是補足我們國內的需求的不足但是今年好像是進口的存量還是很多
transcript.whisperx[3].start 68.82
transcript.whisperx[3].end 91.563
transcript.whisperx[3].text 沒有 今年度的進口 因為進口我們有去年的部分 那是去年的部分所以在今年的部分 特別是你也關注的在雲年的地區 之前我們提出因為瞬間的採收造成一些價格低落我們用28塊去協助這個我知道然後天然障礙 我們也開了天然障礙的一個救助
transcript.whisperx[4].start 92.643
transcript.whisperx[4].end 118.35
transcript.whisperx[4].text 對這個我知道我現在要跟農業部長就是說現在這個是氣候變遷這是一個常態那如何我們來做一個危機處理然後能做一個危機的一個評估然後提出一個政策出來我想這樣才能夠達到一個社會韌性我們一直在談的在總統常常在講我們要有社會韌性所以呢這一個評估這個我在這裡呢我就是希望我們的農業部能夠做
transcript.whisperx[5].start 119.79
transcript.whisperx[5].end 148.541
transcript.whisperx[5].text 那個氣候變稱的一些配套出來好 謝謝謝謝蔡委員 謝謝卓院長下一位黃秀芳委員 徐富奎委員沈發慧委員之質詢均已書面提出請行政院書面答覆並列入紀錄刊登公報下一位請邱振金委員質詢
transcript.whisperx[6].start 158.612
transcript.whisperx[6].end 162.922
transcript.whisperx[6].text 好主席好我們先請我們卓院長還有我們農業部陳部長經濟部龔部長請卓院長陳部長龔部長備詢
transcript.whisperx[7].start 179.437
transcript.whisperx[7].end 208.356
transcript.whisperx[7].text 邱委員好院長好 兩位部長好我想請問一下4月份初我們的強降雨我們投沙河溪議題15分鐘水位就漲到2公尺第二天我和鍾縣長一起就到現場去看當時也有請我們二屬的同仁一起過來其實我們看到這個問題是這樣就是25年前的河道工法當然沒有辦法應付現在的極端氣候
transcript.whisperx[8].start 209.598
transcript.whisperx[8].end 210.961
transcript.whisperx[8].text 那我們看一下這個點
transcript.whisperx[9].start 213.351
transcript.whisperx[9].end 241.343
transcript.whisperx[9].text 這是一個問題另外一個問題就是說我們驅動橋被竹林雜木堵塞但是為什麼會堵塞每一次說要清魚的時候護魚團體就出來了就出來說這個是我們泛島市營區的一個棲息地我想請教一下農業部管的是保育的魚經濟部管的是河道不管是魚或者是河道
transcript.whisperx[10].start 242.096
transcript.whisperx[10].end 262.606
transcript.whisperx[10].text 那我想,院長,人命比較重要還是保育比較重要?我們任何的作為都是以人民的安全為優先,但是人要跟大自然相處,這也是不變的定義。當然,對,我現在意思就是說,我們每一次講到晴雨,就是碰到這些保育類的一些動物或者是魚類,
transcript.whisperx[11].start 264.591
transcript.whisperx[11].end 292.099
transcript.whisperx[11].text 延遲了我們去該做的一些事情像這樣的一個嚴重的事情院長可不可以答應我們未來在這種事情方面我們是不是先考量我們人民的生命的安全所以我們在未來編的四年的縣市館河川以及更大的水流域的改善過程當中我們著眼的就是保障人民的生命財產安全這個是最重要的但是在做任何改善工程的時候要跟大自然和平相處所以要融在一起這個也是不錯的
transcript.whisperx[12].start 293.279
transcript.whisperx[12].end 313.873
transcript.whisperx[12].text 對這個當然我希望我們好好來解決這個事情啦不要每一次碰到環保議題大家都退縮了好不好該做的事情還是要做啦我跟委員報告就是遇到這種天然災害的時候特別是在非常危難的議題或其他方式的時候我們是一定是以人民為優先不會說先去救這些保育類的動物這個就是絕對不會的
transcript.whisperx[13].start 315.494
transcript.whisperx[13].end 334.343
transcript.whisperx[13].text 我希望這樣我們以後就秉持這個原則那天花湖水庫蓋好之後我想未來這種狀況可能就會減少那當天二合局去看的時候有四座橋需要改建那現在需要改建大概要兩億多兩億多但是我們投鄉公所在財化法修改之後他每年大概多了五百萬
transcript.whisperx[14].start 335.607
transcript.whisperx[14].end 349.726
transcript.whisperx[14].text 他的這一次的支付額就要達到四五千萬我想請教院長這個部分能不能納入在我們這個天花湖水庫興建的時候的一起這個整個配套的管理在新這個施工上把它規劃進去不要讓地方來出這個錢嘛
transcript.whisperx[15].start 351.474
transcript.whisperx[15].end 377.508
transcript.whisperx[15].text 天花湖水庫是我們全國這個水庫珍珠串計畫很重要的一個據點如果這個串起來之後那全國的供水系統會更為安全那什麼時候會核電這個部分這個水利署經濟部他已經就天花湖水庫提出一個計畫當中我的意思是這四座橋可不可以夾在裡面行政院因為在審議當中應該很快因為有經濟的流程這四座橋可不可以夾進去
transcript.whisperx[16].start 380.162
transcript.whisperx[16].end 399.902
transcript.whisperx[16].text 我回去再看一下這個情況你叫一個鄉公所你要叫他加四五千萬你要叫他十年不吃不喝因為原來已經送到行政院去是不是可以再加我要回去再check一下因為等於是計畫有所變更因為你叫他我們現在是叫他出18%他真的沒辦法負擔鄉鎮公所哪有這個能力
transcript.whisperx[17].start 401.072
transcript.whisperx[17].end 418.63
transcript.whisperx[17].text 有啦委員這個現在的這個財務法鄉鎮地方都出了很多現政府都有很多的經費啊好不好 這個是很緊急的問題因為你要興建這個天花湖水庫我沒有叫你另外再抓預算進來就併在裡面來處理嘛
transcript.whisperx[18].start 420.432
transcript.whisperx[18].end 447.996
transcript.whisperx[18].text 所以我剛剛提到我們回去check一下因為他等於是可能計畫要有所變更我們再來瞭解我們再來看最近這禮拜大家都應該看到聚焦馬鈴薯印度移工當然還有軍購炒得不可開交的時候大家忽略了其實魔鬼藏在細節裡面我們一個個來看美國要賣豬肉牛肉來台灣要求不能茶廠
transcript.whisperx[19].start 449.33
transcript.whisperx[19].end 468.915
transcript.whisperx[19].text 邊境不能多檢後市場也不能抽菸還要放寬殘留容許值這些你們都點頭答應了最離譜的是什麼連美國要求在檢驗的時候不能用隨解步驟釋放萊克多巴胺你們竟然也答應院長你知不知道這代表什麼
transcript.whisperx[20].start 471.438
transcript.whisperx[20].end 489.107
transcript.whisperx[20].text 這個檢驗的標準是跟Codex一樣的標準我們並沒有獨創一個什麼樣檢驗的標準以前我們是要水檢來做檢查川普的國際標準當然數據要好看程序要簡單那不能阻礙美國產品流通的速度院長你知道萊特德班當年在藥廠開發的時候試驗的樣本是多少嗎
transcript.whisperx[21].start 492.864
transcript.whisperx[21].end 518.974
transcript.whisperx[21].text 六個那六個成年人的男性最後完成試驗的只有五個一個人因為劑量調高之後身體不適所以退出檢驗這也是歐盟跟其他地區禁用的原因那萊克多巴胺在身體裡是用結核鈦存在就像穿了這個保護罩過去我們台灣的規矩檢驗時要經過酸水解或酵素水解就是把這個保護罩去掉才能夠驗出腫瘤案 量案
transcript.whisperx[22].start 519.775
transcript.whisperx[22].end 533.986
transcript.whisperx[22].text 那現在美方要求不能用水解我們只要驗自由鈦在科學上就是技術性隱瞞你們準備把0.04ppm放寬到0.09那現在連這個尺都要改掉如果不水解驗出來的0.08很可能實際含有0.15
transcript.whisperx[23].start 538.146
transcript.whisperx[23].end 563.651
transcript.whisperx[23].text 我跟委員報告一下就是在整個邊境檢查那據我所了解那個衛福部在這裡的處理第一個部分就是你剛才講的就是拉克多巴的一個檢測方式是用水解的方式他其實是符合我們Codex標準因為我們的豬肉或者是我們也是要雙向在貿易的過程中相關的檢疫的標準要一致你不能說近來比較嚴民進黨強調是食安農林冷現在變成美方壓力我們要農冷
transcript.whisperx[24].start 567.592
transcript.whisperx[24].end 595.306
transcript.whisperx[24].text 我想這個部分跟我們的一定是確保我們國人的食的安全的前提之下再去檢討他的相關的一個檢測技術美國豬農要賣豬肉到中國大陸到歐盟他們可以透過美國農業部的這個USDA的這個無售肉精驗證計畫生產完全不含萊劑的產品為什麼美國人可以在中國生產這樣的無萊豬面對台灣卻要我們吞下去
transcript.whisperx[25].start 596.403
transcript.whisperx[25].end 619.237
transcript.whisperx[25].text 我想我們台灣是在跟美國我們在做相關的貿易的過程中要有一致的標準我們台灣人的健康比大陸人低減我想委員的話可能我必須稍微修正一下我們在所有的邊境的查驗跟相關的檢驗標準一定是在確保國人食安的前提之下去討論的
transcript.whisperx[26].start 621.018
transcript.whisperx[26].end 647.733
transcript.whisperx[26].text 不會說任意的放寬而犧牲了國人的食的安全我們現在是美國要求什麼我們就做什麼我覺得我們是雙邊大家在討論過程中我們的談判代表根本不是去全約的而是去畫牙我跟委員報告我們的豬肉現在是上個飛機我們也希望銷到美國去那雙邊在豬肉的貿易之下的所有的檢測標準是要一致化的所以我們是以符合國際的一個標準來確保我們國人的食安再來我們看這個ART裡面
transcript.whisperx[27].start 649.656
transcript.whisperx[27].end 677.64
transcript.whisperx[27].text 我們台灣答應了什麼根據AIT協議第五節第五點四條之五你們承諾美國海關來台進行合規訪查我直接問美國官員進到台灣工廠需不需要檢察官陪同或者是我們官員陪同還是說他們隨時都可以進入他們來我們的領土執行他的公權力我們的法律又如何保障保護我們的這些產業院長你可以回答嗎
transcript.whisperx[28].start 679.431
transcript.whisperx[28].end 708.27
transcript.whisperx[28].text 到我們這裡來查訪必須依照我們這裡所有的規定跟標準我們這裡政府的公權力存在你們已經承諾讓美國海關來台進行這樣的一個合約裡面是有的我們也會到美國的地方去查場我們也會到美國的地方去查場我跟委員講因為你這邊講到是基於國安的部分所有檢疫的部分必須去查場的部分一定是我們
transcript.whisperx[29].start 709.691
transcript.whisperx[29].end 710.812
transcript.whisperx[29].text 雙方都可以嗎 我們可以去查他的嗎
transcript.whisperx[30].start 732.333
transcript.whisperx[30].end 743.431
transcript.whisperx[30].text 我們很多像我們的牛子牛血輸進來的時候我們會到美國去看他們的場是不是符合我們的期待不是說我們不能過去沒有說我們不能過去啊
transcript.whisperx[31].start 745.668
transcript.whisperx[31].end 763.167
transcript.whisperx[31].text 我們該查場因為要不查場會根據你輸入的樣態然後該查場的話我們一定會去查場那我再問那協議第5.4條之6的規定那如果中華民國跟中國簽署新的經貿合定美國就可以終止這份協議對不對
transcript.whisperx[32].start 764.768
transcript.whisperx[32].end 792.427
transcript.whisperx[32].text 所以現在我們大陸釋出這個很多的利多我們連談都不敢談是不是因為簽了這個協議然後我們不能跟大陸去做這些合作我想這是兩碼子的事情以我們農業來講我們重視我們的一些多元的市場的開發這是我們一直在努力的部分我們在簽任何的美國跟美國相關的農業的部分我們絕對不會考慮第三個國家是怎麼樣
transcript.whisperx[33].start 793.368
transcript.whisperx[33].end 816.478
transcript.whisperx[33].text 因為我看到這份ART的協定台灣承擔超過120項的強制義務美國卻只有不到15項連兩岸正常交流都被這個協議來鎖死民進黨是不是要我覺得我們政府不應該把我們台灣就壓單邊走到極端化應該要多元化剛剛部長也有這樣講對不對我們這個部分還是會堅持嗎
transcript.whisperx[34].start 817.871
transcript.whisperx[34].end 831.074
transcript.whisperx[34].text 我想我們一直堅持多元化的一個目標市場除了美國以外我們隨時也在跟澳洲 紐西蘭 日本還有歐盟在談所有的農產品的一個進出那我再問 院長協議第6.1條台灣要開放並促進投資的產業包含電力 電信 礦產 基礎建設這點沒錯吧
transcript.whisperx[35].start 840.551
transcript.whisperx[35].end 855.559
transcript.whisperx[35].text 雙向投資有來有往過去這些產業是不是都是許可制跟限額制涉及國安審查要來我們這裡投資這種產業的過程當中也必須符合我國的法律規定如果他們要進來我們有說不得權利嗎
transcript.whisperx[36].start 859.461
transcript.whisperx[36].end 887.279
transcript.whisperx[36].text 我們有一定的資金的限制比例的限制甚至對象的限制我們都會有的而且這個限制都不會因為這樣而改變既然已經存在的這個限制我們都依法進行那美國如果說要進來咧?如果美國要求我們要開放呢?他必須依照我們的雙方談妥的內容跟我國的法律來執行好那未來我們在能源電力關鍵資源這些產業政府的權力是可以限制還是只能管理不能拒絕?
transcript.whisperx[37].start 888.335
transcript.whisperx[37].end 901.583
transcript.whisperx[37].text 看看這個各該內容如果禁止外國人來投資的當然就沒有例外規定好那我再問齁這個台美MOU裡面齁企業去美國投資2500億美金這是天花板還是地板
transcript.whisperx[38].start 902.774
transcript.whisperx[38].end 914.324
transcript.whisperx[38].text 這是雙方談好的一個投資的一個未來的計畫對所以未來更多嘛所以這是2514最底嗎最底價嗎不是最底價我們希望美黃希望我們有這樣的產業去讓我們鼓勵我國的國內產業做全球的佈局
transcript.whisperx[39].start 920.648
transcript.whisperx[39].end 942.318
transcript.whisperx[39].text 你6.6條規定台灣應促進策略性高科技製造外移這就是一個持續性的業務只要美國有這個需求這2500億就是第一波濟貧後續會隨著產業的集體搬遷而不斷追加這個NOU裡面也是這樣寫的沒有談到所謂這是第一波我們NOU說我們台灣企業會去美國大投資台灣政府會停
transcript.whisperx[40].start 943.819
transcript.whisperx[40].end 971.58
transcript.whisperx[40].text 會去投資 ART 裡面直接寫實台灣要負責信用保證萬一賠錢或借錢 台灣政府要扛美國則出動銀行來負責貸款這就是我們台灣出保證信用保證基本上它也是一個金融的商業上的機制以前說去蓋牆 ART 現在的制度鎖定就是你的這個技術安全標準都要跟美國同步你去到那邊是一定要這樣 他們說什麼我們就要配合
transcript.whisperx[41].start 972.731
transcript.whisperx[41].end 994.466
transcript.whisperx[41].text 沒有啊 這個是完全是配合我們企業界他在做立足台灣佈局全球他有這樣的有訂單有這樣的期待那我們怎麼樣幫他協助因為我看到你們NOU裡面說這個美國蓋園區ART寫得更直接變成台灣有義務要配合等於是把我們台灣最厲害的這個新竹科學園區直接負責貼上來
transcript.whisperx[42].start 995.727
transcript.whisperx[42].end 1014.268
transcript.whisperx[42].text 應該反過來講就是說美國要配合我們的台商在那邊獲得最好的待遇真的能夠在那邊接到訂單可是NOU說的是要提升美國本土的產能啊AIT說的是很直白喔就是說要推動美國製造所有的投資和制度最後目標只有一個就是讓美國的工廠動起來嘛
transcript.whisperx[43].start 1015.689
transcript.whisperx[43].end 1031.014
transcript.whisperx[43].text 就是我們產業的延伸 財力量的延伸美方從能源 土地以及各種行政作業上都要強力配合我們我們MOU裡面說我們要多買美國的天然氣那ART直接把價格飆上去了444億美金因為天然氣我們主要是針對我們
transcript.whisperx[44].start 1031.994
transcript.whisperx[44].end 1052.704
transcript.whisperx[44].text NOE又說了美國會給台灣232條款的官會優惠那AIT把這個獎勵制度變成這個我們來招商然後給你們免稅把這些東西當誘餌讓我們台灣企業過去因為我們答應一定是我們覺得這樣對我們是有利的我們才會答應好啦我時間不夠最後再問一下這個院長
transcript.whisperx[45].start 1054.384
transcript.whisperx[45].end 1075.87
transcript.whisperx[45].text 我們行政院總署2026年6月就公布我們公務人員加薪的大幅調整這部分會做嗎公務人員加薪 對專業家級的大幅調整行政院的人事總署通過沒有 已經把這個計畫報到行政院去那他就會循
transcript.whisperx[46].start 1077.031
transcript.whisperx[46].end 1085.817
transcript.whisperx[46].text 公文的程序 學長支持嗎我們會全盤考量 包括有機會在六月底 明年度的 新公交有機會挑先當然好 謝謝邱委員 謝謝卓院長下一位吳琦