iVOD / 167139

Field Value
IVOD_ID 167139
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/167139
日期 2026-01-19
影片種類 Clip
開始時間 2026-01-19T09:30:07+08:00
結束時間 2026-01-19T09:37:59+08:00
影片長度 00:07:52
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4ba512932926f851fc913add6caddfafdc2a6450645e997f74637afa3742303ece8271213e3fc7bb5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 賴士葆
委員發言時間 09:30:07 - 09:37:59
會議時間 2026-01-19T09:00:00+08:00
會議名稱 立法院第11屆第4會期財政委員會第2次公聽會(事由:召開「促進民間參與公共建設法第三條--無人載具相關設施之建設及服務」公聽會)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 1.12784375
transcript.pyannote[0].end 1.73534375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 6.96659375
transcript.pyannote[1].end 7.40534375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 14.62784375
transcript.pyannote[2].end 16.28159375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 16.85534375
transcript.pyannote[3].end 60.08909375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 60.56159375
transcript.pyannote[4].end 73.74096875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 73.96034375
transcript.pyannote[5].end 74.71971875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 75.41159375
transcript.pyannote[6].end 76.08659375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 76.55909375
transcript.pyannote[7].end 77.13284375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 78.65159375
transcript.pyannote[8].end 79.32659375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 79.76534375
transcript.pyannote[9].end 81.13221875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 81.14909375
transcript.pyannote[10].end 83.47784375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 83.66346875
transcript.pyannote[11].end 86.09346875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 86.73471875
transcript.pyannote[12].end 102.76596875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 103.05284375
transcript.pyannote[13].end 103.59284375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 104.04846875
transcript.pyannote[14].end 105.87096875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 106.90034375
transcript.pyannote[15].end 109.33034375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 110.29221875
transcript.pyannote[16].end 113.34659375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 114.54471875
transcript.pyannote[17].end 116.36721875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 116.68784375
transcript.pyannote[18].end 118.05471875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 118.81409375
transcript.pyannote[19].end 121.07534375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 122.03721875
transcript.pyannote[20].end 122.74596875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 123.28596875
transcript.pyannote[21].end 124.83846875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 125.39534375
transcript.pyannote[22].end 129.22596875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 129.32721875
transcript.pyannote[23].end 130.17096875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 130.27221875
transcript.pyannote[24].end 139.94159375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 140.26221875
transcript.pyannote[25].end 141.54471875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 141.84846875
transcript.pyannote[26].end 143.67096875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 144.04221875
transcript.pyannote[27].end 144.86909375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 145.40909375
transcript.pyannote[28].end 147.51846875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 148.49721875
transcript.pyannote[29].end 150.38721875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 150.85971875
transcript.pyannote[30].end 151.99034375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 152.73284375
transcript.pyannote[31].end 156.14159375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 155.11221875
transcript.pyannote[32].end 155.97284375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 156.22596875
transcript.pyannote[33].end 156.85034375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 157.40721875
transcript.pyannote[34].end 165.57471875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 163.21221875
transcript.pyannote[35].end 163.51596875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 165.84471875
transcript.pyannote[36].end 170.41784375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 170.65409375
transcript.pyannote[37].end 180.47534375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 181.11659375
transcript.pyannote[38].end 192.50721875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 192.94596875
transcript.pyannote[39].end 194.51534375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 195.00471875
transcript.pyannote[40].end 201.33284375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 201.61971875
transcript.pyannote[41].end 203.17221875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 203.69534375
transcript.pyannote[42].end 205.55159375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 205.66971875
transcript.pyannote[43].end 207.20534375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 207.44159375
transcript.pyannote[44].end 211.87971875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 211.96409375
transcript.pyannote[45].end 211.98096875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 212.18346875
transcript.pyannote[46].end 217.41471875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 218.57909375
transcript.pyannote[47].end 219.84471875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 220.41846875
transcript.pyannote[48].end 224.45159375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 224.77221875
transcript.pyannote[49].end 229.63221875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 229.86846875
transcript.pyannote[50].end 235.70721875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 235.90971875
transcript.pyannote[51].end 236.71971875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 237.09096875
transcript.pyannote[52].end 237.47909375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 237.64784375
transcript.pyannote[53].end 238.52534375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 238.72784375
transcript.pyannote[54].end 240.92159375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 242.50784375
transcript.pyannote[55].end 243.55409375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 244.41471875
transcript.pyannote[56].end 245.89971875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 246.59159375
transcript.pyannote[57].end 247.45221875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 248.73471875
transcript.pyannote[58].end 249.30846875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 250.25346875
transcript.pyannote[59].end 251.23221875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 251.72159375
transcript.pyannote[60].end 252.61596875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 252.97034375
transcript.pyannote[61].end 254.55659375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 254.74221875
transcript.pyannote[62].end 256.27784375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 256.83471875
transcript.pyannote[63].end 256.93596875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 257.25659375
transcript.pyannote[64].end 258.06659375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 258.97784375
transcript.pyannote[65].end 259.80471875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 260.42909375
transcript.pyannote[66].end 261.79596875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 262.26846875
transcript.pyannote[67].end 263.51721875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 264.36096875
transcript.pyannote[68].end 265.79534375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 267.09471875
transcript.pyannote[69].end 274.23284375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 274.33409375
transcript.pyannote[70].end 277.48971875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 277.59096875
transcript.pyannote[71].end 278.55284375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 278.82284375
transcript.pyannote[72].end 286.36596875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 286.93971875
transcript.pyannote[73].end 287.76659375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 287.81721875
transcript.pyannote[74].end 291.59721875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 291.79971875
transcript.pyannote[75].end 297.84096875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 298.26284375
transcript.pyannote[76].end 300.87846875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 301.51971875
transcript.pyannote[77].end 302.39721875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 303.13971875
transcript.pyannote[78].end 304.16909375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 304.60784375
transcript.pyannote[79].end 305.28284375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 305.41784375
transcript.pyannote[80].end 306.88596875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 307.24034375
transcript.pyannote[81].end 308.92784375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 309.53534375
transcript.pyannote[82].end 320.53784375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 320.95971875
transcript.pyannote[83].end 321.93846875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 322.32659375
transcript.pyannote[84].end 326.00534375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 326.44409375
transcript.pyannote[85].end 334.29096875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 334.84784375
transcript.pyannote[86].end 336.01221875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 336.45096875
transcript.pyannote[87].end 339.42096875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 339.77534375
transcript.pyannote[88].end 343.23471875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 343.80846875
transcript.pyannote[89].end 346.15409375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 346.54221875
transcript.pyannote[90].end 347.38596875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 348.04409375
transcript.pyannote[91].end 348.48284375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 348.98909375
transcript.pyannote[92].end 349.96784375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 350.38971875
transcript.pyannote[93].end 362.45534375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 362.80971875
transcript.pyannote[94].end 369.50909375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 370.18409375
transcript.pyannote[95].end 372.14159375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 372.69846875
transcript.pyannote[96].end 373.60971875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 374.40284375
transcript.pyannote[97].end 376.46159375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 376.73159375
transcript.pyannote[98].end 377.98034375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 378.30096875
transcript.pyannote[99].end 379.73534375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 380.74784375
transcript.pyannote[100].end 404.72721875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 404.98034375
transcript.pyannote[101].end 405.89159375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 406.48221875
transcript.pyannote[102].end 407.74784375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 408.50721875
transcript.pyannote[103].end 410.58284375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 410.92034375
transcript.pyannote[104].end 413.24909375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 413.80596875
transcript.pyannote[105].end 414.63284375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 414.88596875
transcript.pyannote[106].end 415.56096875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 415.89846875
transcript.pyannote[107].end 425.31471875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 425.41596875
transcript.pyannote[108].end 441.41346875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 441.90284375
transcript.pyannote[109].end 451.82534375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 452.07846875
transcript.pyannote[110].end 453.10784375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 453.47909375
transcript.pyannote[111].end 460.27971875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 460.58346875
transcript.pyannote[112].end 465.03846875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 465.98346875
transcript.pyannote[113].end 472.26096875
transcript.whisperx[0].start 1.084
transcript.whisperx[0].end 7.91
transcript.whisperx[0].text 謝謝
transcript.whisperx[1].start 14.993
transcript.whisperx[1].end 34.256
transcript.whisperx[1].text 主席各位先進那麼有關於今天的這個公聽會就是促成法裡面第三條的修正案在第三條裡面的第一項第16款要增加第16款就是智慧載具相關的設施
transcript.whisperx[2].start 35.077
transcript.whisperx[2].end 58.714
transcript.whisperx[2].text 在說明欄裡面這個講得很清楚了而且是最近執政黨的委員密集的好幾個委員都提了類似個提案這個提案呢就是說要發展把這個智慧載具相關的設施就是無人機方面的相關設施放進來可是說明欄又講得非常清楚他是這個
transcript.whisperx[3].start 60.975
transcript.whisperx[3].end 84.011
transcript.whisperx[3].text 這裡面除了生產研發設施以外包括起降停靠設施平日訓練的航飛型場域研發過程測試的場域等等等等那麼這個當然一提的話無人機產業屬於所謂的五大信賴產業賴總統要推動的五大產業
transcript.whisperx[4].start 86.789
transcript.whisperx[4].end 105.061
transcript.whisperx[4].text 沒有理由反對沒有理由反對但是我們要提出幾個問題我個人提出幾個問題希望在我們未來的修法過程裡面相關的部會特別財政部要特別去注意的地方因為出產條例各位從民國91年民國91年到現在為止用出產條例
transcript.whisperx[5].start 115.203
transcript.whisperx[5].end 120.092
transcript.whisperx[5].text 租產法裡面適用的對象從來沒有針對特定產業
transcript.whisperx[6].start 122.399
transcript.whisperx[6].end 147.1
transcript.whisperx[6].text 從來沒有 基本上就是給地方政府的比如說水溝啦 公園啦 停車場啊 等等的因為這裡面 這裡面有提供很多的優惠啦包括土地租金的優惠 包括補貼 帶款利息包括重大公共建設 或者交通建設免因所遂而且投資的支出還抵減
transcript.whisperx[7].start 148.881
transcript.whisperx[7].end 165.253
transcript.whisperx[7].text 這個財政部提供非常多的優惠鼓勵民間或者VOT 或者OT 或者ROT等等的所以在這種情況之下大概都是以地方政府為主比如說113年的台南市立醫院
transcript.whisperx[8].start 165.993
transcript.whisperx[8].end 180.308
transcript.whisperx[8].text 的興建114年高雄都會公園停車場以及114年的新竹市的水資源水資源的設施桃園婦女的相關的一些活動的設施等等的
transcript.whisperx[9].start 181.169
transcript.whisperx[9].end 195.32
transcript.whisperx[9].text 你就可以發現到說過去的初五餐法適用的都是地方政府的建設地方政府所需要的在113年總共用的是131件金額也就是1588億平均每一件大概12億 這金額都很小tiny tiny 的金額
transcript.whisperx[10].start 203.626
transcript.whisperx[10].end 204.707
transcript.whisperx[10].text 這是地方政府加一個智慧載具的相關設施那就非常大囉看起來相關的設施就是要提供很大的場地
transcript.whisperx[11].start 218.952
transcript.whisperx[11].end 227.535
transcript.whisperx[11].text 這個場地不知道去哪裡了等於圈地一樣 圈成一塊的場地做無人機的訓練起降的訓練 研發的訓練畢竟那是無人機嘛 無人載具嘛那這裡面就在 我剛提到了土地執行的優惠啊這個補貼貸款的利息啊這個土地 所以這裡面我要強調的一個重點就是
transcript.whisperx[12].start 243.237
transcript.whisperx[12].end 265.427
transcript.whisperx[12].text 儲產條例我們都熱箭啟程而且老實講每一年件數都不多你看113年才100多件平均一件12億金額都很小金額都很小就代表什麼意思代表說國人對這一塊興趣度不高
transcript.whisperx[13].start 267.128
transcript.whisperx[13].end 281.299
transcript.whisperx[13].text 那針對今天來說的話如果說你看那個說明欄裡面是針對五大信賴產業剛好最近台美關稅談妥了這一部分我們去投資直接間接的5000億美金2500億直接投資2500億政府保證
transcript.whisperx[14].start 287.043
transcript.whisperx[14].end 300.38
transcript.whisperx[14].text 融資所以政府可能要去成立一個或者立一個新的法把8000億台幣放進來或者原來的中小信保基金現在升不到100億要增加到8000億這裡面都是
transcript.whisperx[15].start 303.303
transcript.whisperx[15].end 306.648
transcript.whisperx[15].text 還是要去解決的還是要解決如果是這樣子的話那我們也可以提半導體的相關設施我們也可以提生技產業的相關設施因為這個是五大信賴產業裡面的五大信賴產業有哪些呢
transcript.whisperx[16].start 321.247
transcript.whisperx[16].end 346.978
transcript.whisperx[16].text 國防安全 這個無人載具屬於國防安全的話次世代通訊 生物科技 人工智慧 半導體這個都是在五大的所謂的五大信賴產業所以今天我要強調的是如果把這16款加進來那17 18都可以加進來呀生物產業的發展設施也可以放進來啦
transcript.whisperx[17].start 348.098
transcript.whisperx[17].end 367.775
transcript.whisperx[17].text 那個國防安全其他的相關產業也可以放進去為什麼只有這個五輪機呢其他也有啊這個我要製造我們現在台灣要發展自主的國防自主的兵工業對放進來呀所以我覺得這個要很慎重了我覺得今天這個來講很慎重因為這樣的一個立法
transcript.whisperx[18].start 373.14
transcript.whisperx[18].end 387.718
transcript.whisperx[18].text 修法針對特定產業給儲餐的一些強力不可不慎因為如果稍微不慎就會掉入是不是有圖利特定廠商都已經想好了
transcript.whisperx[19].start 389.56
transcript.whisperx[19].end 404.299
transcript.whisperx[19].text 哪幾個商商可能要進來所以我們要開這個門讓他來享受土地租金的優惠貸款利息的補貼以及銀索稅的減免以及投資的支出還可以扣抵哇 這樣你讚所以這個我就總結一句話
transcript.whisperx[20].start 408.544
transcript.whisperx[20].end 411.828
transcript.whisperx[20].text 總結一句話 促參條例適度的鬆綁 範圍擴大我個人贊成因為畢竟過去十幾年來績效其實不怎麼樣這個每年才100多件就1000多億 總共一件就12億這個金額實在太少 但是呢
transcript.whisperx[21].start 425.946
transcript.whisperx[21].end 440.026
transcript.whisperx[21].text 過去都是以地方政府為主我倒覺得如果你要講要Echo五大信貸產業那把相關的產業都放進來生物園區也可以放進來他的相關設施可以放進來這個國安的方面放進來AI
transcript.whisperx[22].start 442.189
transcript.whisperx[22].end 462.83
transcript.whisperx[22].text 政府已經在做了通通放進來那這樣子可以是不是政府來企業也來然後我們也鼓勵大家一起來所以否則的話那就會讓外界打一個問號是不是要圖利特定的廠商好不好我把我以上的看法以及比較擔心的部分特別講出來請各位指教感謝 謝謝
transcript.whisperx[23].start 467.021
transcript.whisperx[23].end 470.048
transcript.whisperx[23].text 好 謝謝賴氏寶委員接下來下一位我們請孟廣韻執行長