iVOD / 168680

Field Value
IVOD_ID 168680
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168680
日期 2026-04-22
會議資料.會議代碼 聯席會議-11-5-36,15-2
會議資料.會議代碼:str 第11屆第5會期司法及法制、內政委員會第2次聯席會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 2
會議資料.種類 聯席會議
會議資料.委員會代碼[0] 36
會議資料.委員會代碼[1] 15
會議資料.委員會代碼:str[0] 司法及法制委員會
會議資料.委員會代碼:str[1] 內政委員會
會議資料.標題 第11屆第5會期司法及法制、內政委員會第2次聯席會議
影片種類 Clip
開始時間 2026-04-22T09:58:12+08:00
結束時間 2026-04-22T10:05:33+08:00
影片長度 00:07:21
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5b5880b40c5769f180d83d738102513369f826bc43123a8ddfea45507174d0793a4d20856f634afc5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王美惠
委員發言時間 09:58:12 - 10:05:33
會議時間 2026-04-22T09:00:00+08:00
會議名稱 立法院第11屆第5會期司法及法制、內政委員會第2次聯席會議(事由:併案審查 (一)行政院函請審議「海洋委員會海巡署組織法第三條及第十一條條文修正草案」案。 (二)委員張雅琳等20人擬具「海洋委員會海巡署組織法第三條及第十一條條文修正草案」案。 (三)委員莊瑞雄等16人擬具「海洋委員會海巡署組織法第三條及第十一條條文修正草案」案。 (四)委員沈發惠等19人擬具「海洋委員會海巡署組織法第三條及第十一條條文修正草案」案。 (五)委員羅廷瑋等19人擬具「海洋委員會海巡署組織法第三條及第十一條條文修正草案」案。 (六)委員王美惠等17人擬具「海洋委員會海巡署組織法第三條及第十一條條文修正草案」案。 (七)委員吳沛憶等18人擬具「海洋委員會海巡署組織法第三條及第十一條條文修正草案」案。 (八)委員徐富癸等18人擬具「海洋委員會海巡署組織法第三條及第十一條條文修正草案」案。 (九)委員郭昱晴等16人擬具「海洋委員會海巡署組織法第三條及第十一條條文修正草案」案。 【第(七)、(八)案如經院會復議,則不予審查;第(九)案各黨團若未提出不復議同意書,則不予審查】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 14.22284375
transcript.pyannote[0].end 16.16346875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 16.85534375
transcript.pyannote[1].end 17.80034375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 17.80034375
transcript.pyannote[2].end 17.81721875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 19.62284375
transcript.pyannote[3].end 20.48346875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 20.73659375
transcript.pyannote[4].end 21.10784375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 22.39034375
transcript.pyannote[5].end 23.43659375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 23.94284375
transcript.pyannote[6].end 30.69284375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 31.16534375
transcript.pyannote[7].end 31.62096875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 32.41409375
transcript.pyannote[8].end 38.32034375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 34.40534375
transcript.pyannote[9].end 34.92846875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 38.86034375
transcript.pyannote[10].end 42.85971875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 43.29846875
transcript.pyannote[11].end 48.29346875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 48.36096875
transcript.pyannote[12].end 49.62659375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 49.84596875
transcript.pyannote[13].end 51.07784375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 51.17909375
transcript.pyannote[14].end 51.55034375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 51.49971875
transcript.pyannote[15].end 53.77784375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 55.04346875
transcript.pyannote[16].end 56.03909375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 56.30909375
transcript.pyannote[17].end 65.80971875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 66.48471875
transcript.pyannote[18].end 67.53096875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 68.07096875
transcript.pyannote[19].end 74.48346875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 74.61846875
transcript.pyannote[20].end 78.85409375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 74.92221875
transcript.pyannote[21].end 74.97284375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 79.79909375
transcript.pyannote[22].end 88.54034375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 88.91159375
transcript.pyannote[23].end 99.54284375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 99.69471875
transcript.pyannote[24].end 116.92409375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 109.51596875
transcript.pyannote[25].end 109.60034375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 117.70034375
transcript.pyannote[26].end 119.70846875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 120.23159375
transcript.pyannote[27].end 121.36221875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 121.88534375
transcript.pyannote[28].end 123.62346875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 124.19721875
transcript.pyannote[29].end 128.70284375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 129.54659375
transcript.pyannote[30].end 130.93034375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 131.14971875
transcript.pyannote[31].end 138.10221875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 136.34721875
transcript.pyannote[32].end 139.24971875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 138.50721875
transcript.pyannote[33].end 144.04221875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 144.46409375
transcript.pyannote[34].end 145.62846875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 144.51471875
transcript.pyannote[35].end 145.12221875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 145.62846875
transcript.pyannote[36].end 153.62721875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 153.82971875
transcript.pyannote[37].end 165.03471875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 156.15846875
transcript.pyannote[38].end 156.22596875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 156.49596875
transcript.pyannote[39].end 156.52971875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 165.06846875
transcript.pyannote[40].end 175.24409375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 175.63221875
transcript.pyannote[41].end 177.25221875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 177.58971875
transcript.pyannote[42].end 178.36596875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 178.83846875
transcript.pyannote[43].end 180.20534375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 180.82971875
transcript.pyannote[44].end 184.74471875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 185.08221875
transcript.pyannote[45].end 185.90909375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 187.02284375
transcript.pyannote[46].end 195.76409375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 196.37159375
transcript.pyannote[47].end 207.45846875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 201.68721875
transcript.pyannote[48].end 201.72096875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 207.74534375
transcript.pyannote[49].end 211.89659375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 212.03159375
transcript.pyannote[50].end 223.23659375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 223.30409375
transcript.pyannote[51].end 243.73971875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 223.35471875
transcript.pyannote[52].end 223.91159375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 244.00971875
transcript.pyannote[53].end 245.46096875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 245.98409375
transcript.pyannote[54].end 250.60784375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 251.29971875
transcript.pyannote[55].end 257.25659375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 257.76284375
transcript.pyannote[56].end 258.28596875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 258.23534375
transcript.pyannote[57].end 284.05409375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 284.12159375
transcript.pyannote[58].end 289.84221875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 290.51721875
transcript.pyannote[59].end 294.56721875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 295.05659375
transcript.pyannote[60].end 297.33471875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 295.98471875
transcript.pyannote[61].end 296.47409375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 297.46971875
transcript.pyannote[62].end 298.44846875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 298.97159375
transcript.pyannote[63].end 299.83221875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 300.27096875
transcript.pyannote[64].end 302.39721875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 302.97096875
transcript.pyannote[65].end 307.30784375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 307.74659375
transcript.pyannote[66].end 308.32034375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 308.91096875
transcript.pyannote[67].end 313.29846875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 313.75409375
transcript.pyannote[68].end 315.98159375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 316.26846875
transcript.pyannote[69].end 317.88846875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 318.05721875
transcript.pyannote[70].end 319.52534375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 320.47034375
transcript.pyannote[71].end 323.33909375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 324.13221875
transcript.pyannote[72].end 326.56221875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 326.69721875
transcript.pyannote[73].end 328.48596875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 328.78971875
transcript.pyannote[74].end 331.97909375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 332.63721875
transcript.pyannote[75].end 333.70034375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 335.15159375
transcript.pyannote[76].end 335.60721875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 336.33284375
transcript.pyannote[77].end 337.93596875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 338.35784375
transcript.pyannote[78].end 339.04971875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 338.47596875
transcript.pyannote[79].end 341.29409375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 341.76659375
transcript.pyannote[80].end 344.26409375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 344.83784375
transcript.pyannote[81].end 345.69846875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 346.52534375
transcript.pyannote[82].end 347.30159375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 347.85846875
transcript.pyannote[83].end 349.41096875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 350.00159375
transcript.pyannote[84].end 351.84096875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 352.00971875
transcript.pyannote[85].end 353.71409375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 354.20346875
transcript.pyannote[86].end 355.78971875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 356.83596875
transcript.pyannote[87].end 357.39284375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 358.03409375
transcript.pyannote[88].end 358.84409375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 359.26596875
transcript.pyannote[89].end 361.47659375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 361.54409375
transcript.pyannote[90].end 364.27784375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 364.71659375
transcript.pyannote[91].end 368.53034375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 368.59784375
transcript.pyannote[92].end 375.55034375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 375.90471875
transcript.pyannote[93].end 377.27159375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 377.91284375
transcript.pyannote[94].end 380.95034375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 381.30471875
transcript.pyannote[95].end 397.38659375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 396.44159375
transcript.pyannote[96].end 414.53159375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 407.93346875
transcript.pyannote[97].end 408.18659375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 410.31284375
transcript.pyannote[98].end 410.32971875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 410.34659375
transcript.pyannote[99].end 410.36346875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 411.29159375
transcript.pyannote[100].end 411.51096875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 414.81846875
transcript.pyannote[101].end 418.00784375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 418.73346875
transcript.pyannote[102].end 419.94846875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 420.30284375
transcript.pyannote[103].end 422.24346875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 422.74971875
transcript.pyannote[104].end 433.16159375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 433.60034375
transcript.pyannote[105].end 435.08534375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 435.67596875
transcript.pyannote[106].end 439.28721875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 439.60784375
transcript.pyannote[107].end 441.63284375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 440.04659375
transcript.pyannote[108].end 440.09721875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 440.46846875
transcript.pyannote[109].end 441.05909375
transcript.whisperx[0].start 14.266
transcript.whisperx[0].end 17.647
transcript.whisperx[0].text 主席,我們這裡有副主委請張副主委吳主委,你好在這裡,因為今天我們就是要討論海巡署的條例來臨要給一個副署長在這個規定當中,我們看得出來我們的海巡署來臨,我們的第一算
transcript.whisperx[1].start 44.473
transcript.whisperx[1].end 47.921
transcript.whisperx[1].text 這裡的興地長久以來我相信你也有感受到那個壓力越來越大你看剛才不管是
transcript.whisperx[2].start 55.1
transcript.whisperx[2].end 64.185
transcript.whisperx[2].text 整個的立委 董事會說我們最近發生的四月十六也好 經國會也好發生很多事情 我覺得說 帶了中國 帶不到機會帶到機會 它都會矮化中華民國的台灣尤其說實在 像剛才蘇丁說的
transcript.whisperx[3].start 79.858
transcript.whisperx[3].end 84.659
transcript.whisperx[3].text 我們海上救人沒份 你跟我說 也沒份帶一國的但是偏偏就是有一個國的不是他第一次救的 他也說他第一次救的如果有人在海上救人的時候 常常說他第一次救的我們說實在 如果到海上救人的時候我們可以救一個海 又剩一個海 沒份帶一國的
transcript.whisperx[4].start 109.907
transcript.whisperx[4].end 114.851
transcript.whisperx[4].text 所以在這裏面 我要向市長副主委請教一下第四月十六這個規定當中 我們這六個月的尊嚴有多高要不然尊重到現在是怎樣來副主委你知道嗎
transcript.whisperx[5].start 131.852
transcript.whisperx[5].end 137.436
transcript.whisperx[5].text 跟委員報告第一時間是我們在旁邊作業的期間我現在說你現在知道現在就是那個尊重到目前為止就失蹤因為我覺得不用說什麼人的機會不用說什麼人第一的機會現在目前我們的尊重要失蹤了
transcript.whisperx[6].start 157.487
transcript.whisperx[6].end 161.889
transcript.whisperx[6].text 看能不能救這個不然時間漸漸 畢竟我們要救的時候有狂狂時期所以我也願意說 國際性 常常中國不要吃中華民國台灣的豆腐因為沒有人這樣像我們中國的外國國的媒體也有說到 海上長城
transcript.whisperx[7].start 187.119
transcript.whisperx[7].end 191.221
transcript.whisperx[7].text 市長你有聽到這個故事嗎會覺得很好笑嗎海上的長城大家聽起來都覺得莫名其妙覺得海上的長城是什麼來 市長你知道海上的長城
transcript.whisperx[8].start 206.327
transcript.whisperx[8].end 211.291
transcript.whisperx[8].text 講的意思是什麼?跟委員報告,紐約時報有報過三篇,他的邏輯跟訴訟是差不多一樣,就是說,大陸有那個領域動員4000多隻的魚族,來幫你保育
transcript.whisperx[9].start 223.639
transcript.whisperx[9].end 249.216
transcript.whisperx[9].text 對啦他的概念就是這樣但是我們所有研究包括日本包括對他認為他是在撇風而且那個地方是本來就是大陸傳統的作業宇區啦包括北海道後面的二年多的報告有寫沖繩一本因為那個地方也是有前幾次在大陸以前那也是傳統大陸以前會在那裡作業的地方啦所以我們認為是大陸
transcript.whisperx[10].start 251.337
transcript.whisperx[10].end 257.14
transcript.whisperx[10].text 他有可能性 我們不能排除啦 我不能排除說他最可能性但是這個可能性很高啦 因為 市長 本市是怎麼來的因為我們要去用 因為他現在都用民間的村 跟在那裡走他有夠 公衛有夠好笑的 他說就是沒有一樣的氣氛沒有一樣的季節 所以他們要這麼多年來
transcript.whisperx[11].start 277.57
transcript.whisperx[11].end 288.892
transcript.whisperx[11].text 如果他們的錢都用民間的錢 我們都沒辦法對他怎麼樣但是如果有一天他的錢不是民間的錢他要開始想辦法賺錢的時候 他吃了啦所以本身是怎樣的 很多不公平的不公平派
transcript.whisperx[12].start 303.015
transcript.whisperx[12].end 309.8
transcript.whisperx[12].text 因為支持你們可以再多一個副主席因為你看 大家也沒有要戰爭 大家也沒有要害怕他不夠長久以來 你看一年一年 一個月一個月中國對台灣的壓迫
transcript.whisperx[13].start 324.692
transcript.whisperx[13].end 331.66
transcript.whisperx[13].text 在那個海上這樣走啦,在灰色地帶造成我們海巡署,我們這裡的影子,還要多大
transcript.whisperx[14].start 335.225
transcript.whisperx[14].end 354.686
transcript.whisperx[14].text 署長,你知道阿伯有多大嗎?因為他是要保護中華民國,他們還要做的工作,還要做很多的招輸、阿愛、大韓國他們要做,他們還要當一個界別的派出兵,天天又要來亂
transcript.whisperx[15].start 356.877
transcript.whisperx[15].end 361.201
transcript.whisperx[15].text 市長,我問問,我們選一個副市長出來,不是說選一個給我選漂亮的我也知道有很多人,跟你剛才有分析,說他能夠做什麼他能夠跟第一、第二的副市長有重疊性,會做什麼?剛才我聽到你說這樣
transcript.whisperx[16].start 381.508
transcript.whisperx[16].end 388.293
transcript.whisperx[16].text 我剛才跟委員報告,我們現在三個,如果增加一個副書長來,我們的藥物再重新分配,就是說不要說每一個副書長的負擔這麼大,那負擔這麼大的情形啊,他會越來越專業,做得越好,這是我們的問題因為剛才我不知道是你說了有差,還是我聽了有差,你說可以再重提性的做好,我覺得這樣就沒差,這個第三個副書長啦
transcript.whisperx[17].start 410.731
transcript.whisperx[17].end 415.975
transcript.whisperx[17].text 在這個過程 剛才本席跟你說這個準在那裡的時候 你們也看到他的打壓 除了要說要和平啦跟實際都不一樣要和平啦像我們中共要出國的時候 還要這樣打壓啦所有說的一套 做的一套 不能相信中國對台灣的優先啦 以上
transcript.whisperx[18].start 439.672
transcript.whisperx[18].end 440.157
transcript.whisperx[18].text 好 謝謝王美