iVOD / 160559

Field Value
IVOD_ID 160559
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/160559
日期 2025-04-23
會議資料.會議代碼 委員會-11-3-35-10
會議資料.會議代碼:str 第11屆第3會期外交及國防委員會第10次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 10
會議資料.種類 委員會
會議資料.委員會代碼[0] 35
會議資料.委員會代碼:str[0] 外交及國防委員會
會議資料.標題 第11屆第3會期外交及國防委員會第10次全體委員會議
影片種類 Clip
開始時間 2025-04-23T12:16:50+08:00
結束時間 2025-04-23T12:22:31+08:00
影片長度 00:05:41
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/27ac2f54fdf75cc028b4cb09f5adb4209ac021369aff85baca7a32b531de3e803717ab8172553e855ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 邱志偉
委員發言時間 12:16:50 - 12:22:31
會議時間 2025-04-23T09:00:00+08:00
會議名稱 立法院第11屆第3會期外交及國防委員會第10次全體委員會議(變更議程)(事由:邀請國防部部長、外交部部長、國家安全局局長、總統府秘書長、國家安全會議秘書長報告「近期國軍、外交部、總統府、國安會遭共諜滲透,其影響國安層面、範圍及未來人員考核管制之具體作法」,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 1.33034375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 1.97159375
transcript.pyannote[1].end 3.27096875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 4.03034375
transcript.pyannote[2].end 5.07659375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 6.34221875
transcript.pyannote[3].end 7.28721875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 9.07596875
transcript.pyannote[4].end 10.89846875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 11.70846875
transcript.pyannote[5].end 13.32846875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 15.43784375
transcript.pyannote[6].end 16.55159375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 17.07471875
transcript.pyannote[7].end 18.08721875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 19.77471875
transcript.pyannote[8].end 20.09534375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 21.09096875
transcript.pyannote[9].end 24.70221875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 25.14096875
transcript.pyannote[10].end 26.87909375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 31.41846875
transcript.pyannote[11].end 32.05971875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 32.78534375
transcript.pyannote[12].end 33.84846875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 34.82721875
transcript.pyannote[13].end 42.58971875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 40.98659375
transcript.pyannote[14].end 41.23971875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 42.77534375
transcript.pyannote[15].end 44.66534375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 44.71596875
transcript.pyannote[16].end 44.73284375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 44.74971875
transcript.pyannote[17].end 45.12096875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 45.12096875
transcript.pyannote[18].end 56.52846875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 52.19159375
transcript.pyannote[19].end 52.42784375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 56.98409375
transcript.pyannote[20].end 61.55721875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 61.81034375
transcript.pyannote[21].end 64.76346875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 63.46409375
transcript.pyannote[22].end 63.66659375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 65.28659375
transcript.pyannote[23].end 67.81784375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 68.79659375
transcript.pyannote[24].end 74.28096875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 68.98221875
transcript.pyannote[25].end 69.37034375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 74.78721875
transcript.pyannote[26].end 76.23846875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 77.50409375
transcript.pyannote[27].end 84.11909375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 84.55784375
transcript.pyannote[28].end 87.54471875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 88.27034375
transcript.pyannote[29].end 99.67784375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 100.15034375
transcript.pyannote[30].end 109.54971875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 109.61721875
transcript.pyannote[31].end 114.89909375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 116.36721875
transcript.pyannote[32].end 127.99409375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 127.28534375
transcript.pyannote[33].end 128.77034375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 128.23034375
transcript.pyannote[34].end 149.96534375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 148.09221875
transcript.pyannote[35].end 148.21034375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 149.44221875
transcript.pyannote[36].end 153.74534375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 153.50909375
transcript.pyannote[37].end 153.84659375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 153.84659375
transcript.pyannote[38].end 155.53409375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 155.53409375
transcript.pyannote[39].end 155.85471875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 155.71971875
transcript.pyannote[40].end 155.73659375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 155.85471875
transcript.pyannote[41].end 169.96221875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 165.77721875
transcript.pyannote[42].end 166.14846875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 169.87784375
transcript.pyannote[43].end 169.92846875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 169.96221875
transcript.pyannote[44].end 172.67909375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 170.78909375
transcript.pyannote[45].end 171.86909375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 172.27409375
transcript.pyannote[46].end 172.79721875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 173.25284375
transcript.pyannote[47].end 175.12596875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 175.88534375
transcript.pyannote[48].end 176.83034375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 184.47471875
transcript.pyannote[49].end 200.03346875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 184.54221875
transcript.pyannote[50].end 185.68971875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 200.60721875
transcript.pyannote[51].end 201.18096875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 201.45096875
transcript.pyannote[52].end 203.23971875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 203.35784375
transcript.pyannote[53].end 204.03284375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 204.43784375
transcript.pyannote[54].end 206.85096875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 207.20534375
transcript.pyannote[55].end 208.90971875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 209.61846875
transcript.pyannote[56].end 211.33971875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 211.44096875
transcript.pyannote[57].end 213.04409375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 213.16221875
transcript.pyannote[58].end 215.32221875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 216.23346875
transcript.pyannote[59].end 219.28784375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 219.55784375
transcript.pyannote[60].end 226.98284375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 227.48909375
transcript.pyannote[61].end 230.15534375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 231.16784375
transcript.pyannote[62].end 235.33596875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 236.39909375
transcript.pyannote[63].end 239.03159375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 239.70659375
transcript.pyannote[64].end 242.40659375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 243.28409375
transcript.pyannote[65].end 246.67596875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 247.21596875
transcript.pyannote[66].end 250.62471875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 251.72159375
transcript.pyannote[67].end 254.21909375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 254.87721875
transcript.pyannote[68].end 255.26534375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 255.82221875
transcript.pyannote[69].end 263.02784375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 263.63534375
transcript.pyannote[70].end 266.92596875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 267.82034375
transcript.pyannote[71].end 271.60034375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 271.90409375
transcript.pyannote[72].end 277.20284375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 278.21534375
transcript.pyannote[73].end 285.87659375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 281.53971875
transcript.pyannote[74].end 282.19784375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 284.66159375
transcript.pyannote[75].end 285.52221875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 286.58534375
transcript.pyannote[76].end 307.56096875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 308.50596875
transcript.pyannote[77].end 315.05346875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 315.28971875
transcript.pyannote[78].end 315.96471875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 316.80846875
transcript.pyannote[79].end 327.01784375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 316.84221875
transcript.pyannote[80].end 317.88846875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 327.52409375
transcript.pyannote[81].end 332.23221875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 332.99159375
transcript.pyannote[82].end 334.86471875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 335.96159375
transcript.pyannote[83].end 339.45471875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 340.34909375
transcript.pyannote[84].end 341.41221875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 341.09159375
transcript.pyannote[85].end 341.37846875
transcript.whisperx[0].start 0.289
transcript.whisperx[0].end 2.791
transcript.whisperx[0].text 先請外交部陳正智、亞太斯許副市長
transcript.whisperx[1].start 31.485
transcript.whisperx[1].end 55.807
transcript.whisperx[1].text 外交部,韓國跟日本都是在地緣政治、地緣戰略、地緣經濟跟台灣密切相關,沒有錯。台日關係這十幾年來非常友好。日本是台灣人心目中最好的國家,最想去旅遊的國家,最友善的國家。日本也把台灣人視為最喜歡來的國家。
transcript.whisperx[2].start 57.108
transcript.whisperx[2].end 75.837
transcript.whisperx[2].text 相對的這個韓國的民間台灣台韓之間的民間交流我想不管是演唱會或是K-POP或是最近這個職棒的應援團都在年輕人有很多的影響也到很多人的支持相對的在官方
transcript.whisperx[3].start 77.537
transcript.whisperx[3].end 98.207
transcript.whisperx[3].text 官方的互動 台日關係的官方互動 不管是國會甚至行政部門的互動 我覺得都有非常好的一個成果包括我個人也常常到日本國會去針對特定議題做一些討論相對的他們有日華肯 跨黨派 大概將近有200位的國會議員
transcript.whisperx[4].start 100.228
transcript.whisperx[4].end 114.46
transcript.whisperx[4].text 那韓國跟台灣的官方關係不管是行政部門、外交部甚至或者是國會跟國會的關係為什麼跟台日關係差距那麼的大原因是在哪裡
transcript.whisperx[5].start 116.777
transcript.whisperx[5].end 145.294
transcript.whisperx[5].text 報告委員那事實上我跟委員報告一下台韓關係近年來雙邊的關係其實是有不錯的進展包括兩國的這個避免雙重課稅的協定在去年1月1日開始適用另外我們台灣跟韓國也另外簽訂了互惠使用自動通關國際駕照互相承認雙邊銀行監理合作備忘錄等等
transcript.whisperx[6].start 145.774
transcript.whisperx[6].end 173.485
transcript.whisperx[6].text 二十項的一個協定另外在台韓的國會這個書面資料再給我我的個人感覺台日跟台韓做比較台日跟台韓的關係差距很大台日關係如果一百分的話那台韓的關係大概只有五十分我個人的你也可以提供一些數據來說明因為時間的關係我不是五加五是五分鐘而已我們之後提供委員相關的書面資料接下來請這個
transcript.whisperx[7].start 176.044
transcript.whisperx[7].end 199.413
transcript.whisperx[7].text 國防部顧部長有關於空軍機場附近周遭受到起降演訓所影響的市民或民眾我們當然國防部有相關的作業要點
transcript.whisperx[8].start 200.66
transcript.whisperx[8].end 229.767
transcript.whisperx[8].text 那我選在岡山機場那機場將AT3變成永音號對不對永音號的這個起降未來會越來越平板但是它產生的這個音量也比AT3T3是更大所以我昨天特別開一個協調會所以各區包括紫關包括彌陀包括岡山受影響的區所有里長都出席第一個換寡也換不均
transcript.whisperx[9].start 231.606
transcript.whisperx[9].end 253.931
transcript.whisperx[9].text 換寡 換不均 換寡就是你的補助金額或者預算太少全國所有機場一年7億而已岡山受到影響那麼多里 只有接近2000萬一個里要輪到補助 要等14年他們每天都受到這些噪音的影響 對不對
transcript.whisperx[10].start 255.888
transcript.whisperx[10].end 276.986
transcript.whisperx[10].text 那我們卻得不到這個國防部或者空軍相當程度的補償或者是這個牧林他們生活受到影響那他們應該如此嗎所以我覺得國防部要先把這個回饋的金額做大然後分配是不是可以直接下放到這個區不是到 下放到里
transcript.whisperx[11].start 278.457
transcript.whisperx[11].end 307.376
transcript.whisperx[11].text 這個作業規則 我覺得可能 國防部 可能部長委員是不是說下放到區 還是說要下放到區因為現在裡啊 A B 兩裡連在一起現在A裡有過 B裡沒有過那旁邊是不是它就有產生怨言啊所以你如果下放到區 比方說紫關區 岡山區以區作為一個補助的單位由區公所去制定一個補助要點針對受到影響最嚴重的裡 做多點補助而且很美的都可以補助耶
transcript.whisperx[12].start 308.564
transcript.whisperx[12].end 333.942
transcript.whisperx[12].text 那你如果換不用這個實體補助你用現金補助的話一個人才450塊一年啊450塊您的意思是說由區來統籌嗎你可以跟市政府跟所有縣市政府去討論一下哪一個補助方式民眾才覺得比較比較有感覺才會覺得比較不會覺得受到那麼大的委屈這部分我把這個問題丟出來
transcript.whisperx[13].start 336.021
transcript.whisperx[13].end 337.344
transcript.whisperx[13].text 我要示範一下什麼叫優質諮詢時間到