iVOD / 157883

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/66a8e59aed318d21350349828028167331f80df82035e9d5773b3fa48179a30d24f9cd7c186913095ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 蔡易餘
委員發言時間 11:37:00 - 11:44:43
影片長度 463
會議時間 2024-12-05T09:00:00+08:00
會議名稱 立法院第11屆第2會期內政委員會第14次全體委員會議(事由:一、審查114年度中央政府總預算案關於中央選舉委員會及所屬單位預算。二、審查「公職人員選舉罷免法」修正草案,計六案:(一)審查委員楊曜等17人擬具「公職人員選舉罷免法第六十七條及第六十九條條文修正草案」案。(二)審查委員蘇清泉等23人擬具「公職人員選舉罷免法第六十九條條文修正草案」案。(三)審查委員翁曉玲等16人擬具「公職人員選舉罷免法第五十三條條文修正草案」案。(四)審查委員陳冠廷等25人擬具「公職人員選舉罷免法第五十二條條文修正草案」案。(五)審查委員許宇甄等39人擬具「公職人員選舉罷免法第七十五條及第九十條條文修正草案」案。(六)審查台灣民眾黨黨團擬具「公職人員選舉罷免法第三十二條及第四十三條條文修正草案」案。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 14.96534375
transcript.pyannote[0].end 15.57284375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 15.70784375
transcript.pyannote[1].end 18.30659375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 18.86346875
transcript.pyannote[2].end 20.55096875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 21.07409375
transcript.pyannote[3].end 22.18784375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 27.53721875
transcript.pyannote[4].end 28.38096875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 29.27534375
transcript.pyannote[5].end 29.98409375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 30.06846875
transcript.pyannote[6].end 31.28346875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 31.46909375
transcript.pyannote[7].end 32.97096875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 33.71346875
transcript.pyannote[8].end 35.75534375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 36.34596875
transcript.pyannote[9].end 38.62409375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 39.07971875
transcript.pyannote[10].end 44.17596875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 44.68221875
transcript.pyannote[11].end 46.30221875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 46.63971875
transcript.pyannote[12].end 49.57596875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 50.16659375
transcript.pyannote[13].end 70.33221875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 70.58534375
transcript.pyannote[14].end 83.62971875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 84.13596875
transcript.pyannote[15].end 90.64971875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 90.98721875
transcript.pyannote[16].end 91.61159375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 91.89846875
transcript.pyannote[17].end 92.32034375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 92.75909375
transcript.pyannote[18].end 95.79659375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 95.96534375
transcript.pyannote[19].end 97.58534375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 98.07471875
transcript.pyannote[20].end 99.52596875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 99.88034375
transcript.pyannote[21].end 101.14596875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 101.63534375
transcript.pyannote[22].end 105.71909375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 106.25909375
transcript.pyannote[23].end 111.27096875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 111.72659375
transcript.pyannote[24].end 114.10596875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 114.30846875
transcript.pyannote[25].end 116.72159375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 117.54846875
transcript.pyannote[26].end 118.51034375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 118.76346875
transcript.pyannote[27].end 121.41284375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 122.37471875
transcript.pyannote[28].end 124.97346875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 125.61471875
transcript.pyannote[29].end 130.94721875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 132.04409375
transcript.pyannote[30].end 134.01846875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 134.50784375
transcript.pyannote[31].end 143.02971875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 143.65409375
transcript.pyannote[32].end 147.28221875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 147.58596875
transcript.pyannote[33].end 150.20159375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 150.96096875
transcript.pyannote[34].end 154.48784375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 155.06159375
transcript.pyannote[35].end 156.56346875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 157.57596875
transcript.pyannote[36].end 159.17909375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 160.12409375
transcript.pyannote[37].end 165.87846875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 166.58721875
transcript.pyannote[38].end 179.19284375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 179.83409375
transcript.pyannote[39].end 193.13159375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 193.78971875
transcript.pyannote[40].end 194.38034375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 194.83596875
transcript.pyannote[41].end 203.71221875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 203.91471875
transcript.pyannote[42].end 205.36596875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 205.82159375
transcript.pyannote[43].end 206.85096875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 207.98159375
transcript.pyannote[44].end 209.09534375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 209.68596875
transcript.pyannote[45].end 213.26346875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 213.88784375
transcript.pyannote[46].end 215.35596875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 215.69346875
transcript.pyannote[47].end 218.73096875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 218.88284375
transcript.pyannote[48].end 224.02971875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 224.99159375
transcript.pyannote[49].end 226.12221875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 226.22346875
transcript.pyannote[50].end 236.09534375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 236.44971875
transcript.pyannote[51].end 237.34409375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 237.34409375
transcript.pyannote[52].end 242.44034375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 237.36096875
transcript.pyannote[53].end 237.42846875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 237.51284375
transcript.pyannote[54].end 237.58034375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 242.99721875
transcript.pyannote[55].end 257.67846875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 256.68284375
transcript.pyannote[56].end 262.77471875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 262.06596875
transcript.pyannote[57].end 271.26284375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 262.80846875
transcript.pyannote[58].end 262.82534375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 263.02784375
transcript.pyannote[59].end 263.78721875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 271.78596875
transcript.pyannote[60].end 273.10221875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 273.10221875
transcript.pyannote[61].end 274.82346875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 275.36346875
transcript.pyannote[62].end 290.16284375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 276.83159375
transcript.pyannote[63].end 280.96596875
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 280.96596875
transcript.pyannote[64].end 281.25284375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 290.46659375
transcript.pyannote[65].end 302.19471875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 302.41409375
transcript.pyannote[66].end 310.36221875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 304.96221875
transcript.pyannote[67].end 306.97034375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 307.49346875
transcript.pyannote[68].end 307.79721875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 310.96971875
transcript.pyannote[69].end 313.58534375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 313.68659375
transcript.pyannote[70].end 344.02784375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 328.03034375
transcript.pyannote[71].end 328.24971875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 330.30846875
transcript.pyannote[72].end 333.37971875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 341.15909375
transcript.pyannote[73].end 341.20971875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 341.20971875
transcript.pyannote[74].end 343.06596875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 343.62284375
transcript.pyannote[75].end 348.49971875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 344.21346875
transcript.pyannote[76].end 344.50034375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 347.68971875
transcript.pyannote[77].end 347.87534375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 347.87534375
transcript.pyannote[78].end 347.94284375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 347.94284375
transcript.pyannote[79].end 348.04409375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 348.65159375
transcript.pyannote[80].end 354.01784375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 354.13596875
transcript.pyannote[81].end 358.97909375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 359.29971875
transcript.pyannote[82].end 360.04221875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 360.04221875
transcript.pyannote[83].end 361.08846875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 360.05909375
transcript.pyannote[84].end 362.38784375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 362.38784375
transcript.pyannote[85].end 362.74221875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 362.74221875
transcript.pyannote[86].end 363.53534375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 363.53534375
transcript.pyannote[87].end 365.59409375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 365.84721875
transcript.pyannote[88].end 366.92721875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 367.97346875
transcript.pyannote[89].end 380.03909375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 378.18284375
transcript.pyannote[90].end 378.67221875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 378.97596875
transcript.pyannote[91].end 379.92096875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 380.15721875
transcript.pyannote[92].end 380.20784375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 380.22471875
transcript.pyannote[93].end 386.87346875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 386.99159375
transcript.pyannote[94].end 410.90346875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 396.82971875
transcript.pyannote[95].end 396.88034375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 396.91409375
transcript.pyannote[96].end 397.03221875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 397.03221875
transcript.pyannote[97].end 397.53846875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 397.53846875
transcript.pyannote[98].end 400.05284375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 400.15409375
transcript.pyannote[99].end 400.22159375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 400.39034375
transcript.pyannote[100].end 400.47471875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 400.47471875
transcript.pyannote[101].end 400.55909375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 400.55909375
transcript.pyannote[102].end 400.62659375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 402.26346875
transcript.pyannote[103].end 402.36471875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 402.36471875
transcript.pyannote[104].end 402.80346875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 405.57096875
transcript.pyannote[105].end 408.69284375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 409.28346875
transcript.pyannote[106].end 416.55659375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 416.23596875
transcript.pyannote[107].end 419.66159375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 419.72909375
transcript.pyannote[108].end 421.28159375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 420.67409375
transcript.pyannote[109].end 420.92721875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 421.38284375
transcript.pyannote[110].end 421.43346875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 421.92284375
transcript.pyannote[111].end 423.10409375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 424.33596875
transcript.pyannote[112].end 429.76971875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 427.22159375
transcript.pyannote[113].end 428.62221875
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 430.71471875
transcript.pyannote[114].end 430.95096875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 432.03096875
transcript.pyannote[115].end 433.36409375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 434.32596875
transcript.pyannote[116].end 437.17784375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 435.96284375
transcript.pyannote[117].end 436.38471875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 437.46471875
transcript.pyannote[118].end 457.95096875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 452.19659375
transcript.pyannote[119].end 452.26409375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 453.02346875
transcript.pyannote[120].end 454.12034375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 454.23846875
transcript.pyannote[121].end 454.25534375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 454.54221875
transcript.pyannote[122].end 455.16659375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 456.38159375
transcript.pyannote[123].end 457.09034375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 458.62596875
transcript.pyannote[124].end 459.18284375
transcript.whisperx[0].start 15.775
transcript.whisperx[0].end 22.181
transcript.whisperx[0].text 好 我們現在是不是有請我們李主委跟我們內政部 我們留部長好 請李主委還有部長 對
transcript.whisperx[1].start 29.438
transcript.whisperx[1].end 49.348
transcript.whisperx[1].text 我先就教李主委,主委這個關於今天選罷法的這個修正事實上我們現在選罷法在草野協商甚至院會可能就要面對的一個表決就是會這個提案連署的要附上身份證的影本
transcript.whisperx[2].start 50.368
transcript.whisperx[2].end 69.022
transcript.whisperx[2].text 基本上這個對於未來要發動罷免那就有一個難度已經存在了因為要附上身份證附上身份證這件事情我們事實上在草野協商大家都有充分的論述基本上你要叫人民為了要罷免某個候選人某個民意代表
transcript.whisperx[3].start 70.663
transcript.whisperx[3].end 90.17
transcript.whisperx[3].text 他要提出他的身份證第一他擔心這個身份證可能會被詐欺或或者是他覺得他身份證他的個資交出來對他來說是有疑慮的所以基本上在這樣的一個前提之下即罷免的一個連署就已經變得非常高的一個門檻主委你認為沒錯吧是
transcript.whisperx[4].start 93.111
transcript.whisperx[4].end 121.24
transcript.whisperx[4].text 所以在這段時間來事實上我們一直在思考用身分證的一個影本那算是國民黨藍白現在不斷地去講說他們認為罷免如果太腐爛或大罷免不好所以他們要把這個身分證的條件影本已經放在那結果現在我們委員會又再處理又要再加嚴一次
transcript.whisperx[5].start 122.641
transcript.whisperx[5].end 127.484
transcript.whisperx[5].text 二、審查委員楊曜等二十七條及第六十九條條文修正草案.計六案.計六案.計六案.計六案.計六案.計六案.
transcript.whisperx[6].start 151.018
transcript.whisperx[6].end 178.893
transcript.whisperx[6].text 那我們現在我們在現場我們黃婕委員她也面對過當時國民黨的惡霸投票率是41.54那我們陳柏惟基進黨的51.72投票率比較高那同樣當時林昶佐中正萬華林昶佐41.93的投票率謝國良最近發生的是50.44的投票率事實上以這幾次來看
transcript.whisperx[7].start 180.193
transcript.whisperx[7].end 204.208
transcript.whisperx[7].text 這樣的投票率沒有一次大於真正在普選不管是立委也好 不管是縣市長也好 不管是議員也好投票率都大於我剛剛所念的數字 沒有錯吧是的是啊 所以這就呈現一個矛盾了那既然在普選的時候投票率那麼高在罷免的時候明顯投票率就不會到達那樣的一個康章那現在
transcript.whisperx[8].start 208.115
transcript.whisperx[8].end 223.341
transcript.whisperx[8].text 國民黨這個版本,要把它賦予說你要大於當選的投票數,哇,這個門檻下去,我看要罷免都沒說了啦,大概是不太可能了。我們的選罷法並沒有限制罷免投票率的門檻。
transcript.whisperx[9].start 225.031
transcript.whisperx[9].end 242.223
transcript.whisperx[9].text 那所以罷免的投票率即便是百分之四十甚至於低於百分之四十我們不能夠因此而否定它的效力啦當然啦所以既然是有效的一個罷免的投票率
transcript.whisperx[10].start 242.944
transcript.whisperx[10].end 257.747
transcript.whisperx[10].text 二、審查委員楊曜等17人擬具:「公職人員選舉罷免法第六十七條及第六十九條條文修正草案: 公職人員選舉罷免法第六十七條及第六十九條條文修正草案: 公職人員選舉罷免法第六十七條及第六十九條條文修正草案: 公職人員選舉罷免法第六十七條及第六十九條條文修正草案: 公職人員選舉罷免法第六十七條及第六十九條條文修正草案:
transcript.whisperx[11].start 271.829
transcript.whisperx[11].end 274.573
transcript.whisperx[11].text 二、審查委員楊曜等二十七條及第六十九條條文修正草案案。
transcript.whisperx[12].start 288.132
transcript.whisperx[12].end 309.935
transcript.whisperx[12].text 是跟人民就是一個契約關係這樣的一個契約發動權是在人民的手上人民給你這個權利讓你有機會擔任民意代表當然透過罷免就是把就是把跟你的契約把它收回然後在大法官4至499號的時候講得很清楚大法官4至499號是國大自己言論
transcript.whisperx[13].start 311.036
transcript.whisperx[13].end 314.198
transcript.whisperx[13].text 二、審查委員楊曜等二十七條及第六十九條條文修正草案案。
transcript.whisperx[14].start 341.196
transcript.whisperx[14].end 350.402
transcript.whisperx[14].text 審查委員楊曜等17年度中央政府總預算案。二、審查委員楊曜等17年度中央政府總預算案。二、審查委員楊曜等17年度中央政府總預算案。二、審查委員楊曜等17年度中央政府總預算案。二、審查委員楊曜等17年度中央政府總預算案。
transcript.whisperx[15].start 368.032
transcript.whisperx[15].end 374.716
transcript.whisperx[15].text 審查委員楊曜等17人擬具:「公職人員選舉罷免法第六十七條及第六十九條條文修正草案.計六案.公職人員選舉罷免法第六十七條及第六十九條條文修正草案.計六案.
transcript.whisperx[16].start 395.449
transcript.whisperx[16].end 422.782
transcript.whisperx[16].text 請你尊重!請你尊重啦!不是!時間到了!不是!不是吧!時間到了!時間到了!不是啦!所以你不要浪費!沒有!後面那麼多個委員!我們一定要堅持!時間到了!請你回座!請你回座!請你回座!
transcript.whisperx[17].start 424.603
transcript.whisperx[17].end 428.887
transcript.whisperx[17].text 請你回座 請你回座 時間到沒有 請你回座請你回座請你回座 好不好
transcript.whisperx[18].start 437.643
transcript.whisperx[18].end 438.724
transcript.whisperx[18].text 本席宣布休息。
IVOD_ID 157883
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/157883
日期 2024-12-05
會議資料.會議代碼 委員會-11-2-15-14
會議資料.屆 11
會議資料.會期 2
會議資料.會次 14
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.標題 第11屆第2會期內政委員會第14次全體委員會議
影片種類 Clip
開始時間 2024-12-05T11:37:00+08:00
結束時間 2024-12-05T11:44:43+08:00
支援功能[0] ai-transcript