iVOD / 164381

Field Value
IVOD_ID 164381
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164381
日期 2025-10-20
影片種類 Clip
開始時間 2025-10-20T10:21:25+08:00
結束時間 2025-10-20T10:29:48+08:00
影片長度 00:08:23
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/03f010abd9bb8d1b51c470ad786321592e2f7db73b8fc9c783c966d97180d5d25347f071d6b30dbb5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 林國成
委員發言時間 10:21:25 - 10:29:48
會議時間 2025-10-20T09:00:00+08:00
會議名稱 1.蔣被提名人榮先-立法院第11屆第4會期交通、教育及文化委員會第1次聯席會議(事由:審查行政院函送國家通訊傳播委員會委員提名名單,蔣榮先為委員並為主任委員,程明修為委員並為副主任委員,黃葳威及羅慧雯均為委員,請同意案。 【10月20日(星期一)依序分別審查蔣被提名人榮先、程被提名人明修;10月22日(星期三)依序分別審查黃被提名人葳威、羅被提名人慧雯。】 【10月20日及22日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.97596875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 1.97159375
transcript.pyannote[1].end 6.84846875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 7.08471875
transcript.pyannote[2].end 8.99159375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 14.61096875
transcript.pyannote[3].end 15.10034375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 15.47159375
transcript.pyannote[4].end 16.88909375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 17.73284375
transcript.pyannote[5].end 23.01471875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 23.38596875
transcript.pyannote[6].end 26.54159375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 27.85784375
transcript.pyannote[7].end 28.75221875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 29.27534375
transcript.pyannote[8].end 31.87409375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 32.46471875
transcript.pyannote[9].end 33.12284375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 33.76409375
transcript.pyannote[10].end 36.78471875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 37.52721875
transcript.pyannote[11].end 43.28159375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 43.87221875
transcript.pyannote[12].end 47.39909375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 47.95596875
transcript.pyannote[13].end 49.32284375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 51.11159375
transcript.pyannote[14].end 53.45721875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 51.85409375
transcript.pyannote[15].end 52.10721875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 52.15784375
transcript.pyannote[16].end 52.19159375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 55.81971875
transcript.pyannote[17].end 56.69721875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 57.10221875
transcript.pyannote[18].end 57.92909375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 58.63784375
transcript.pyannote[19].end 73.52159375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 73.92659375
transcript.pyannote[20].end 74.61846875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 75.25971875
transcript.pyannote[21].end 76.25534375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 77.41971875
transcript.pyannote[22].end 82.80284375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 83.15721875
transcript.pyannote[23].end 84.62534375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 85.08096875
transcript.pyannote[24].end 86.90346875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 87.46034375
transcript.pyannote[25].end 89.83971875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 90.78471875
transcript.pyannote[26].end 93.61971875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 93.95721875
transcript.pyannote[27].end 119.62409375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 119.94471875
transcript.pyannote[28].end 126.25596875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 127.30221875
transcript.pyannote[29].end 130.93034375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 131.20034375
transcript.pyannote[30].end 132.12846875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 133.41096875
transcript.pyannote[31].end 135.55409375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 136.24596875
transcript.pyannote[32].end 137.91659375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 138.57471875
transcript.pyannote[33].end 151.26471875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 151.82159375
transcript.pyannote[34].end 152.68221875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 154.26846875
transcript.pyannote[35].end 155.97284375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 156.27659375
transcript.pyannote[36].end 157.93034375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 158.52096875
transcript.pyannote[37].end 159.22971875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 159.85409375
transcript.pyannote[38].end 166.60409375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 166.92471875
transcript.pyannote[39].end 183.54659375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 184.17096875
transcript.pyannote[40].end 185.31846875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 185.62221875
transcript.pyannote[41].end 186.06096875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 186.43221875
transcript.pyannote[42].end 187.64721875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 187.74846875
transcript.pyannote[43].end 187.79909375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 187.84971875
transcript.pyannote[44].end 188.96346875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 189.97596875
transcript.pyannote[45].end 192.52409375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 192.76034375
transcript.pyannote[46].end 195.27471875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 195.74721875
transcript.pyannote[47].end 196.69221875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 196.84409375
transcript.pyannote[48].end 202.48034375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 202.86846875
transcript.pyannote[49].end 206.42909375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 206.83409375
transcript.pyannote[50].end 209.68596875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 210.17534375
transcript.pyannote[51].end 213.07784375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 213.48284375
transcript.pyannote[52].end 214.86659375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 215.30534375
transcript.pyannote[53].end 217.19534375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 217.71846875
transcript.pyannote[54].end 218.42721875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 218.78159375
transcript.pyannote[55].end 219.72659375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 220.08096875
transcript.pyannote[56].end 220.82346875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 221.41409375
transcript.pyannote[57].end 222.71346875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 223.27034375
transcript.pyannote[58].end 225.91971875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 225.93659375
transcript.pyannote[59].end 228.56909375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 228.75471875
transcript.pyannote[60].end 235.18409375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 235.38659375
transcript.pyannote[61].end 236.21346875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 236.33159375
transcript.pyannote[62].end 237.73221875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 237.73221875
transcript.pyannote[63].end 237.76596875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 238.37346875
transcript.pyannote[64].end 238.39034375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 238.39034375
transcript.pyannote[65].end 265.84596875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 265.91346875
transcript.pyannote[66].end 270.94221875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 271.95471875
transcript.pyannote[67].end 280.72971875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 281.96159375
transcript.pyannote[68].end 300.25409375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 300.96284375
transcript.pyannote[69].end 300.99659375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 300.99659375
transcript.pyannote[70].end 302.22846875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 302.53221875
transcript.pyannote[71].end 305.40096875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 305.95784375
transcript.pyannote[72].end 308.87721875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 309.11346875
transcript.pyannote[73].end 312.11721875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 312.43784375
transcript.pyannote[74].end 315.28971875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 315.52596875
transcript.pyannote[75].end 325.97159375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 326.51159375
transcript.pyannote[76].end 327.69284375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 327.92909375
transcript.pyannote[77].end 350.22096875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 351.57096875
transcript.pyannote[78].end 357.30846875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 357.86534375
transcript.pyannote[79].end 358.32096875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 358.64159375
transcript.pyannote[80].end 361.96596875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 362.50596875
transcript.pyannote[81].end 365.88096875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 366.21846875
transcript.pyannote[82].end 366.91034375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 367.95659375
transcript.pyannote[83].end 374.13284375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 374.48721875
transcript.pyannote[84].end 374.68971875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 375.19596875
transcript.pyannote[85].end 377.67659375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 378.09846875
transcript.pyannote[86].end 379.49909375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 379.97159375
transcript.pyannote[87].end 381.32159375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 382.01346875
transcript.pyannote[88].end 382.90784375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 383.70096875
transcript.pyannote[89].end 384.51096875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 384.89909375
transcript.pyannote[90].end 386.06346875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 386.21534375
transcript.pyannote[91].end 387.16034375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 387.64971875
transcript.pyannote[92].end 393.06659375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 393.40409375
transcript.pyannote[93].end 395.20971875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 395.78346875
transcript.pyannote[94].end 397.72409375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 398.38221875
transcript.pyannote[95].end 401.18346875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 401.50409375
transcript.pyannote[96].end 402.19596875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 402.51659375
transcript.pyannote[97].end 404.76096875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 405.33471875
transcript.pyannote[98].end 406.27971875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 406.38096875
transcript.pyannote[99].end 410.93721875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 411.35909375
transcript.pyannote[100].end 420.38721875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 411.39284375
transcript.pyannote[101].end 411.88221875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 421.16346875
transcript.pyannote[102].end 442.79721875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 443.01659375
transcript.pyannote[103].end 453.44534375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 454.12034375
transcript.pyannote[104].end 454.89659375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 455.43659375
transcript.pyannote[105].end 461.89971875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 461.95034375
transcript.pyannote[106].end 462.72659375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 463.23284375
transcript.pyannote[107].end 463.41846875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 464.75159375
transcript.pyannote[108].end 465.69659375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 466.38846875
transcript.pyannote[109].end 467.73846875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 467.94096875
transcript.pyannote[110].end 469.22346875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 470.70846875
transcript.pyannote[111].end 470.72534375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 470.72534375
transcript.pyannote[112].end 492.83159375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 493.64159375
transcript.pyannote[113].end 499.96971875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 499.49721875
transcript.pyannote[114].end 499.64909375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 500.96534375
transcript.pyannote[115].end 503.83409375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 503.93534375
transcript.pyannote[116].end 503.96909375
transcript.whisperx[0].start 2.03
transcript.whisperx[0].end 8.774
transcript.whisperx[0].text 好 謝謝我們召委來 請我們蔣提名人請蔣被提名人委員好好 那個我看我們黃國昌總操叫你是蔣老師啦但是我在想一向寫者專家
transcript.whisperx[1].start 27.915
transcript.whisperx[1].end 53.083
transcript.whisperx[1].text 我當然都持有非常尊敬之態度但是我們蔣提名人我要請教你一下我們台灣民眾黨一向秉存三個言者請問我們蔣提名人你知不知道哪三項我們在問政的風格不知道吧第一個就是理性
transcript.whisperx[2].start 55.868
transcript.whisperx[2].end 75.789
transcript.whisperx[2].text 再來務實再來科學所以這三種當中我會採取第一個理性探討的態度來對我們講提名人針對未來NCC如何去推展或者你有什麼
transcript.whisperx[3].start 77.615
transcript.whisperx[3].end 89.157
transcript.whisperx[3].text 胸懷大志如何去做改革這個是我啟喜的但是我還是要提醒我們蔣提名的到立法院來一定要誠實
transcript.whisperx[4].start 91.655
transcript.whisperx[4].end 118.773
transcript.whisperx[4].text 誠實是最好的一個執政答詢的方式所以剛剛我還特別來聽為了這個院長或總統來召見你這個時間的問題我還是建議這個部分要把它理清楚我相信未來在同意前的部分會有所幫助這是我以重心長給蔣提名人的一個建議來
transcript.whisperx[5].start 120.214
transcript.whisperx[5].end 137.019
transcript.whisperx[5].text 蔣提名人我們大家都知道啦你在學術研究當然有你的專長跟你的特色但是在這裡今天張秘書長也在這裡我覺得你的專業很適合去數位部當部長
transcript.whisperx[6].start 138.638
transcript.whisperx[6].end 157.673
transcript.whisperx[6].text 所以不適合在NCC當主委這個我要特別提醒我們張秘書長要下情上打所以現在的亂象就是什麼專業措置隔行如隔山請問
transcript.whisperx[7].start 159.912
transcript.whisperx[7].end 188.778
transcript.whisperx[7].text 因為到現在為止很多委員執行你的專業問題我看你的大作你對於醫學AI以及所有的研究部分你的專長就是放在這裡啊就是數位這個部分啊但是跟媒體一點關係都沒有啊所以在這個部分蔣提名人給你一點時間你有什麼看法
transcript.whisperx[8].start 190.194
transcript.whisperx[8].end 214.506
transcript.whisperx[8].text 非常謝謝林委員這麼關心我的工作還有過去的研究其實我過去如果用一個簡單的經驗來敘述的話如果我有百分之三十的時間是做研究百分之三十的人做教學百分之三十的人做行政工作的話其實剛好研究的工作占百分之三十的時間過去在成功大學在成大醫院服務的時候我歷經過三任校長然後歷經過三任院長
transcript.whisperx[9].start 217.748
transcript.whisperx[9].end 237.185
transcript.whisperx[9].text 他們當時在我卸任的時候他們對我的評價其實很簡單就是這個人他的行政的手腕其實非常的願意去做事情第二就是這個人是很公正的所以我想也許是這個原因所以才能夠被提名好 謝謝
transcript.whisperx[10].start 238.63
transcript.whisperx[10].end 265.391
transcript.whisperx[10].text 其實我要你答覆這是大家的一例因為這個同意前當然就會牽涉到你過去的著作跟你未來如何去做這個要綜合起來是否同意這些東西都會影響每一個委員對於你的看法另外一個我比較冒昧的請教我們蔣提名人
transcript.whisperx[11].start 266.132
transcript.whisperx[11].end 280.35
transcript.whisperx[11].text 你的研究計畫裡面完全跟NCC的執掌多少是沒有關係但是在這個部分你現在擁有閣科會給你的研究案喔
transcript.whisperx[12].start 281.991
transcript.whisperx[12].end 300.094
transcript.whisperx[12].text 到最後可能要用到三大電信公司你在這個研究案研究到一半的時候請問你如果出任了這些NCC主委的時候你如何去迴避或如何去切斷研究這個請你回答
transcript.whisperx[13].start 301.021
transcript.whisperx[13].end 324.775
transcript.whisperx[13].text 好 謝謝委員的提問很慶幸的我現在目前所手上的執行的以及過去執行的研究計畫當中目前都沒有任何跟NCC現在的業務直接相關以及和電信產業有直接相關的 謝謝好 那另外一個我還是要再提醒一下當然這是給你做一個功課NCC它本來是一個監督
transcript.whisperx[14].start 326.596
transcript.whisperx[14].end 350.087
transcript.whisperx[14].text 管理單位這不是研究單位囉所以在這個部分我比較納悶要聽聽你的意見也就是中天撤照的部分他一個是監督一個是管理但是撤照是一個事關重大言論自由的部分你對這件事情請你簡單回答你有什麼看法
transcript.whisperx[15].start 351.616
transcript.whisperx[15].end 366.326
transcript.whisperx[15].text 好非常謝謝委員提出這個這麼關鍵的問題那我自己也必須要承認在接到這個任務之前我原來只是一個一般的民眾所以呢以我的看法跟想法在想這件事情的時候我當時
transcript.whisperx[16].start 368.001
transcript.whisperx[16].end 380.391
transcript.whisperx[16].text 一接到這個工作之後我就很仔細的把所有的公開資訊當中有關於中天案的細節過程仔細的研究了而且看了所有的報告我有兩點的發現第一點就是說
transcript.whisperx[17].start 383.735
transcript.whisperx[17].end 410.721
transcript.whisperx[17].text 我有注意到整个社会大众对于中天案引起的社会大众的普遍的这些不满意或者是有一些对于这个案件的一些资讯那我觉得这个案件呢如果以我在现在目前来看的话我会觉得他是当时是依法不予换照那当年这个法律当时定的目的呢应该是很清楚的
transcript.whisperx[18].start 411.488
transcript.whisperx[18].end 433.33
transcript.whisperx[18].text 我想這樣啦因為我時間也有限啦特別我要提醒你監督跟管理跟撤照這是兩三者之間當然有關係但是你要知道社會大眾對於這些是非常重視的所以希望有機會你如果當了主委以後
transcript.whisperx[19].start 434.051
transcript.whisperx[19].end 463.17
transcript.whisperx[19].text 不要前車之間再換這個要特別注意最後一個我再請教你現在NCC已經在這快一年的情況之下他的檢舉案件喔社會亂象以及檢舉案件將近600件請問我們主委提名人你如果通過了任命以後你有什麼做法簡單回答好
transcript.whisperx[20].start 464.793
transcript.whisperx[20].end 492.375
transcript.whisperx[20].text 我的做法就是會讓NC的做回符合社會的期待然後積極把它完成好 那個蔣提名我還是希望啦本黨一向是理性 務實 科學根據科學 根據非常務實的東西我們會做最後的一個評判我也希望在這裡祝福你有一個好的投票的結果但是希望站在這裡的時候守出
transcript.whisperx[21].start 494.101
transcript.whisperx[21].end 503.171
transcript.whisperx[21].text 講出的任何一個承諾我希望有朝一日你要去實踐好不好好謝謝林國成委員發言完