iVOD / 157538

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4b9db3dc7042177a277ae2a661beb3e46e756e96dd8ac7a32bae0214b15caa08c7b66ba030a8f37c5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 葉元之
委員發言時間 12:26:49 - 12:33:34
影片長度 405
會議時間 2024-11-27T09:00:00+08:00
會議名稱 立法院第11屆第2會期經濟委員會第17次全體委員會議(事由:審查114年度中央政府總預算案關於經濟部及所屬單位預算部分。(詢答))
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 10.18971875
transcript.pyannote[0].end 10.78034375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 11.74221875
transcript.pyannote[1].end 12.45096875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 12.63659375
transcript.pyannote[2].end 13.91909375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 20.95596875
transcript.pyannote[3].end 21.39471875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 21.91784375
transcript.pyannote[4].end 24.46596875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 24.88784375
transcript.pyannote[5].end 29.20784375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 29.57909375
transcript.pyannote[6].end 36.59909375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 37.12221875
transcript.pyannote[7].end 49.47471875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 50.13284375
transcript.pyannote[8].end 51.76971875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 52.46159375
transcript.pyannote[9].end 60.73034375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 60.96659375
transcript.pyannote[10].end 66.04596875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 66.63659375
transcript.pyannote[11].end 67.75034375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 68.32409375
transcript.pyannote[12].end 72.54284375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 72.88034375
transcript.pyannote[13].end 78.55034375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 78.78659375
transcript.pyannote[14].end 81.04784375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 81.80721875
transcript.pyannote[15].end 84.49034375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 85.18221875
transcript.pyannote[16].end 89.35034375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 89.70471875
transcript.pyannote[17].end 93.51846875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 94.31159375
transcript.pyannote[18].end 104.95971875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 104.95971875
transcript.pyannote[19].end 107.77784375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 104.97659375
transcript.pyannote[20].end 105.44909375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 107.86221875
transcript.pyannote[21].end 116.13096875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 109.90409375
transcript.pyannote[22].end 110.07284375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 115.75971875
transcript.pyannote[23].end 116.41784375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 116.55284375
transcript.pyannote[24].end 127.03221875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 120.14721875
transcript.pyannote[25].end 120.38346875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 127.03221875
transcript.pyannote[26].end 129.04034375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 129.27659375
transcript.pyannote[27].end 135.68909375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 135.84096875
transcript.pyannote[28].end 137.03909375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 137.37659375
transcript.pyannote[29].end 138.79409375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 139.09784375
transcript.pyannote[30].end 141.89909375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 142.15221875
transcript.pyannote[31].end 142.91159375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 143.09721875
transcript.pyannote[32].end 145.45971875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 147.56909375
transcript.pyannote[33].end 147.65346875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 147.65346875
transcript.pyannote[34].end 147.80534375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 147.80534375
transcript.pyannote[35].end 148.10909375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 148.54784375
transcript.pyannote[36].end 157.22159375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 157.42409375
transcript.pyannote[37].end 162.18284375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 159.82034375
transcript.pyannote[38].end 166.43534375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 164.05596875
transcript.pyannote[39].end 164.39346875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 166.82346875
transcript.pyannote[40].end 176.50971875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 167.51534375
transcript.pyannote[41].end 168.27471875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 176.94846875
transcript.pyannote[42].end 184.13721875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 179.63159375
transcript.pyannote[43].end 179.85096875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 184.39034375
transcript.pyannote[44].end 186.97221875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 187.30971875
transcript.pyannote[45].end 195.15659375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 188.15346875
transcript.pyannote[46].end 188.86221875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 195.32534375
transcript.pyannote[47].end 199.47659375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 200.86034375
transcript.pyannote[48].end 201.06284375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 201.06284375
transcript.pyannote[49].end 201.11346875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 201.11346875
transcript.pyannote[50].end 201.70409375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 201.70409375
transcript.pyannote[51].end 204.52221875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 201.72096875
transcript.pyannote[52].end 202.36221875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 204.52221875
transcript.pyannote[53].end 204.94409375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 204.94409375
transcript.pyannote[54].end 205.02846875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 205.02846875
transcript.pyannote[55].end 205.23096875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 205.23096875
transcript.pyannote[56].end 205.34909375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 205.34909375
transcript.pyannote[57].end 205.87221875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 205.87221875
transcript.pyannote[58].end 206.41221875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 206.41221875
transcript.pyannote[59].end 206.96909375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 206.96909375
transcript.pyannote[60].end 207.03659375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 207.03659375
transcript.pyannote[61].end 220.65471875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 220.78971875
transcript.pyannote[62].end 222.03846875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 222.22409375
transcript.pyannote[63].end 239.38596875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 240.26346875
transcript.pyannote[64].end 248.81909375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 242.00159375
transcript.pyannote[65].end 242.05221875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 242.25471875
transcript.pyannote[66].end 242.86221875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 248.92034375
transcript.pyannote[67].end 252.78471875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 252.97034375
transcript.pyannote[68].end 255.06284375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 255.95721875
transcript.pyannote[69].end 257.83034375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 257.83034375
transcript.pyannote[70].end 282.67034375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 270.31784375
transcript.pyannote[71].end 274.46909375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 274.99221875
transcript.pyannote[72].end 284.96534375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 285.55596875
transcript.pyannote[73].end 286.48409375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 286.92284375
transcript.pyannote[74].end 290.51721875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 290.93909375
transcript.pyannote[75].end 298.33034375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 294.41534375
transcript.pyannote[76].end 294.73596875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 297.90846875
transcript.pyannote[77].end 300.20346875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 300.20346875
transcript.pyannote[78].end 303.00471875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 303.00471875
transcript.pyannote[79].end 303.57846875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 303.73034375
transcript.pyannote[80].end 305.46846875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 306.46409375
transcript.pyannote[81].end 306.78471875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 307.35846875
transcript.pyannote[82].end 313.41659375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 312.70784375
transcript.pyannote[83].end 315.74534375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 314.56409375
transcript.pyannote[84].end 315.72846875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 315.74534375
transcript.pyannote[85].end 315.82971875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 315.82971875
transcript.pyannote[86].end 315.84659375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 315.84659375
transcript.pyannote[87].end 315.86346875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 315.86346875
transcript.pyannote[88].end 318.07409375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 318.07409375
transcript.pyannote[89].end 318.69846875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 318.86721875
transcript.pyannote[90].end 320.97659375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 320.97659375
transcript.pyannote[91].end 325.78596875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 326.24159375
transcript.pyannote[92].end 327.57471875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 328.03034375
transcript.pyannote[93].end 333.56534375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 334.05471875
transcript.pyannote[94].end 334.93221875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 335.28659375
transcript.pyannote[95].end 337.81784375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 337.98659375
transcript.pyannote[96].end 338.29034375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 339.08346875
transcript.pyannote[97].end 342.07034375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 342.07034375
transcript.pyannote[98].end 342.47534375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 342.74534375
transcript.pyannote[99].end 356.02596875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 356.02596875
transcript.pyannote[100].end 381.54096875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 356.07659375
transcript.pyannote[101].end 356.53221875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 365.05409375
transcript.pyannote[102].end 365.71221875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 379.71846875
transcript.pyannote[103].end 381.49034375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 381.54096875
transcript.pyannote[104].end 382.57034375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 382.57034375
transcript.pyannote[105].end 382.95846875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 382.95846875
transcript.pyannote[106].end 383.31284375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 383.05971875
transcript.pyannote[107].end 383.27909375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 383.31284375
transcript.pyannote[108].end 383.32971875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 383.32971875
transcript.pyannote[109].end 385.94534375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 383.56596875
transcript.pyannote[110].end 389.75909375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 388.67909375
transcript.pyannote[111].end 393.72471875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 391.88534375
transcript.pyannote[112].end 397.63971875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 396.37409375
transcript.pyannote[113].end 399.05721875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 398.71971875
transcript.pyannote[114].end 399.71534375
transcript.whisperx[0].start 10.397
transcript.whisperx[0].end 12.243
transcript.whisperx[0].text 副長好我請部長請郭部長
transcript.whisperx[1].start 21.004
transcript.whisperx[1].end 48.922
transcript.whisperx[1].text 委員好部長請教一下因為那個川普不是說要在墨西哥加拿大還有針對中國大陸都要提高關稅嗎那因為他這個提高關稅可能跟您之前所提到一個政策感覺會帶來一個威脅啦因為之前一直在提到就是說境外國內嘛就是說要我們的一些企業移到其他的國家去生產嘛然後去降低關稅那我們現在其實有很多大廠已經到墨西哥去設廠
transcript.whisperx[2].start 50.443
transcript.whisperx[2].end 65.713
transcript.whisperx[2].text 這個部分你掌握的狀況是怎樣?報告委員,我想我所了解的狀況是這樣,我們台灣到墨西哥的這個場域,其實跟美國的新墨西哥州其實是接見、連結的。
transcript.whisperx[3].start 68.376
transcript.whisperx[3].end 84.081
transcript.whisperx[3].text 那現在川普如果對他們要定課這個25%的這個關稅我相信他們會去衡量因為他在墨西哥他墨西哥政府有給他一些incentive給他稅的incentive可他土地不用錢
transcript.whisperx[4].start 85.253
transcript.whisperx[4].end 107.375
transcript.whisperx[4].text 那他會算,如果我這個東西賣進去美國,賣進去美國,那這樣的衡量是不是划算?他在那個地方生產,他不一定是賣給美國,他可能是賣給加拿大,可能也是賣給這個南美的這個廠商,所以我們要去了解他們的這個……所以你要先評估一下他生產出來之後是賣到哪嗎?
transcript.whisperx[5].start 108.155
transcript.whisperx[5].end 128.241
transcript.whisperx[5].text 若是賣到美國才會受到影響嗎?若是賣到其他國家不會受到影響嗎?那目前可能就是事出突然所以也沒有做過這樣的評估嗎?我們可能要跟這個大部分電電工會的會員所以我們會去跟他們來瞭解有沒有需要政府來支援準備要去了解就對了
transcript.whisperx[6].start 129.381
transcript.whisperx[6].end 144.753
transcript.whisperx[6].text 那第二個我想問一下假設這些所謂的電子專業製造代工廠或公司受到影響的話那因為按照WTO理論上這些產業行業應該是免稅免關稅那這部分會不會去跟WTO申訴
transcript.whisperx[7].start 147.605
transcript.whisperx[7].end 176.063
transcript.whisperx[7].text 我想這個部分我們去跟申訴要有贏的把握啦不然你去申訴等於是所以沒有贏的把握就不會去我們現在還不太了解會有多大的影響不是啊那個第一我要說有影響因為我們現在要把SOP定出來嘛對你怎麼可能說等到有影響再想怎麼辦嘛所以你要先想我們有我們這方面的scenario是都有在進行對那我這問說會不會這個跟WTO有沒有關係你不會去做任何動作就對了齁
transcript.whisperx[8].start 180.356
transcript.whisperx[8].end 198.646
transcript.whisperx[8].text 主要就是說這個政策是您提出來的嘛,你還有一個政策是講說大手拉小手嘛,大帶小嘛那很多大﹐那個是供應鏈對供應鏈一樣嘛,你供應鏈你出去之後大家在那邊就形成一個供應鏈嘛那如果說有其他的影響的話,我們要怎麼因應嘛,我現在問的問題是這個
transcript.whisperx[9].start 200.922
transcript.whisperx[9].end 220.445
transcript.whisperx[9].text 我們怎麼應應是我們要看他們會碰到什麼樣的問題啊不一定都是關稅的問題你做一個部長你不可能是你都沒有想過你等到說他發生問題以後他來告訴我們要我們怎麼解決我們才來協助嘛沒有這樣子的啦通常產業的發展你要比人家先想好兩三步啦
transcript.whisperx[10].start 220.925
transcript.whisperx[10].end 237.081
transcript.whisperx[10].text 他可能會怎麼樣然後所以我們怎麼解決然後解決之後可能又會面臨什麼困難所以我們再怎麼解決怎麼可能是說我先拋一個想法出來等你有問題我再幫你想怎麼解決不是這樣啊部長所以現在我們就是要問你說這個事情後續幾個步驟你們規劃嗎
transcript.whisperx[11].start 240.345
transcript.whisperx[11].end 254.372
transcript.whisperx[11].text 所以你是要瞭解摩天輝的意思嗎?對啊對啊不然的話你這樣子蠻恐怖的啊現在國際上發生任何的事情尤其是川普他可能會拋出很多跟拜登不一樣的政策出來然後我們都想說等他拋了再講然後發生影響再說
transcript.whisperx[12].start 256.572
transcript.whisperx[12].end 281.927
transcript.whisperx[12].text 應該不是這樣子吧部長報告委員我想這個問題跟你所想像的不會一樣那是怎樣我講商業上面我們必須要看他實際出手了以後我們再來對應當然我們有很多對應的方法現在就是在問你方法你現在感覺就是講這個命題不一定是講清楚因為其實我問你問題你如果有清楚一點你如果有反對的話我的問題就是剛剛說如果說像這些
transcript.whisperx[13].start 286.029
transcript.whisperx[13].end 305.258
transcript.whisperx[13].text 電子專業的製造代工廠如果他有受到這個關稅的影響那我們政府會怎麼因應嗎?我們就幫助他到美國去設廠就好啦幫助他去美國設廠是不是?就是他隔一條街就是美國啦所以現在因應的方式就是幫助他去美國設廠當然啦那有多大的把握?多大的把握?
transcript.whisperx[14].start 307.386
transcript.whisperx[14].end 332.787
transcript.whisperx[14].text 對阿,就是說你只要幫助他,他就會去嗎?美國就...他們自己就會去啦!所以你這也算是...因為美國那個地方齁,報告委員,這個桃李不言,下至晨曦啦!好不好,他的條件夠好他就會去啦!所以其實部長你也提了一個移美論啦,移動的移啦,移美論就是說我們未來就把這些產業,這些工廠、公司,勸他們去美國設廠解決這個問題嗎?條件不好他也不會去嘛!那對國內的勒?
transcript.whisperx[15].start 334.329
transcript.whisperx[15].end 341.726
transcript.whisperx[15].text 國內的產業就是我們會分兩種嘛我們會看他所需要的問題是什麼
transcript.whisperx[16].start 342.83
transcript.whisperx[16].end 363.744
transcript.whisperx[16].text 那他對國內現在都還沒有定出來要做什麼樣的措施嘛所以我們不會先講啦我們等他的確定他會對台灣採取什麼樣的措施我們才有這個幫助的方式部長你的答詢都高深莫測就是不願意我不知道這是不願意先底牌還是說根本沒有準備好啦
transcript.whisperx[17].start 364.164
transcript.whisperx[17].end 389.546
transcript.whisperx[17].text 那我是希望說你是不想我是希望你是因為不想先立牌啦但如果說其實你都是沒有準備好你不知道會有什麼影響然後沒有因應作為所以你就在立院答詢的時候就說我們都準備好啦但是怎麼樣到時候再說我就會覺得很恐怖啦所以希望說你是準備好的你不是我所以你不能用我的想法來騙我你每次來答詢的時候你回答問題都用這種方式就好啦因為你的問題就讓我
transcript.whisperx[18].start 390.967
transcript.whisperx[18].end 391.087
transcript.whisperx[18].text 法定人數不足
IVOD_ID 157538
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/157538
日期 2024-11-27
會議資料.會議代碼 委員會-11-2-19-17
會議資料.屆 11
會議資料.會期 2
會議資料.會次 17
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.標題 第11屆第2會期經濟委員會第17次全體委員會議
影片種類 Clip
開始時間 2024-11-27T12:26:49+08:00
結束時間 2024-11-27T12:33:34+08:00
支援功能[0] ai-transcript