iVOD / 157901

Field Value
IVOD_ID 157901
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/157901
日期 2024-12-05
影片種類 Clip
開始時間 2024-12-05T13:36:34+08:00
結束時間 2024-12-05T13:54:33+08:00
影片長度 00:17:59
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/66a8e59aed318d219251580657d97619a99904554a4baaac90a1da7b6f6bcb9da3edfb217b8fd1275ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 劉建國
委員發言時間 13:36:34 - 13:54:33
會議時間 2024-12-05T09:00:00+08:00
會議名稱 立法院第11屆第2會期社會福利及衛生環境、司法及法制委員第1次聯席會議(事由:審查 一、委員謝衣鳯等17人擬具「人工生殖法部分條文修正草案」案。 二、委員陳菁徽等20人擬具「人工生殖法部分條文修正草案」案。 三、委員黃捷等22人擬具「人工生殖法部分條文修正草案」案。 四、委員林宜瑾等19人擬具「人工生殖法部分條文修正草案」案。 五、委員范雲等16人擬具「人工生殖法部分條文修正草案」案。 六、委員林楚茵等18人擬具「人工生殖法部分條文修正草案」案。 七、委員王育敏等18人擬具「人工生殖法部分條文修正草案」案。 八、委員黃秀芳等18人擬具「人工生殖法部分條文修正草案」案。 九、台灣民眾黨黨團擬具「人工生殖法部分條文修正草案」案。 十、委員林月琴等17人擬具「人工生殖法部分條文修正草案」案。 十一、國民黨黨團擬具「人工生殖法部分條文修正草案」案。 十二、委員洪申翰、范雲等21人擬具「人工生殖法部分條文修正草案」案。 十三、委員吳沛憶等18人擬具「人工生殖法部分條文修正草案」案。 十四、委員林淑芬等18人擬具「人工生殖法部分條文修正草案」案。 十五、委員郭昱晴等16人擬具「人工生殖法部分條文修正草案」案。 十六、委員張雅琳等21人擬具「人工生殖法部分條文修正草案」案。)
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 4.60409375
transcript.pyannote[0].end 6.56159375
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 6.91596875
transcript.pyannote[1].end 7.62471875
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 13.46346875
transcript.pyannote[2].end 13.98659375
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 14.17221875
transcript.pyannote[3].end 15.60659375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 16.02846875
transcript.pyannote[4].end 16.33221875
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 16.33221875
transcript.pyannote[5].end 17.10846875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 16.34909375
transcript.pyannote[6].end 16.53471875
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 17.24346875
transcript.pyannote[7].end 24.61784375
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 25.61346875
transcript.pyannote[8].end 29.32596875
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 30.25409375
transcript.pyannote[9].end 35.56971875
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 35.92409375
transcript.pyannote[10].end 41.20596875
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 41.59409375
transcript.pyannote[11].end 42.72471875
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 42.82596875
transcript.pyannote[12].end 47.02784375
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 47.12909375
transcript.pyannote[13].end 49.50846875
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 49.76159375
transcript.pyannote[14].end 55.83659375
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 56.32596875
transcript.pyannote[15].end 59.48159375
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 59.95409375
transcript.pyannote[16].end 61.91159375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 64.83096875
transcript.pyannote[17].end 65.67471875
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 66.11346875
transcript.pyannote[18].end 67.61534375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 66.19784375
transcript.pyannote[19].end 66.48471875
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 68.61096875
transcript.pyannote[20].end 70.50096875
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 71.09159375
transcript.pyannote[21].end 71.53034375
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 71.73284375
transcript.pyannote[22].end 74.85471875
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 77.26784375
transcript.pyannote[23].end 78.97221875
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 79.46159375
transcript.pyannote[24].end 79.47846875
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 79.47846875
transcript.pyannote[25].end 79.83284375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 79.90034375
transcript.pyannote[26].end 80.05221875
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 80.05221875
transcript.pyannote[27].end 80.08596875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 80.08596875
transcript.pyannote[28].end 80.10284375
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 80.10284375
transcript.pyannote[29].end 80.18721875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 80.18721875
transcript.pyannote[30].end 85.97534375
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 85.97534375
transcript.pyannote[31].end 88.92846875
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 86.36346875
transcript.pyannote[32].end 86.80221875
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 87.08909375
transcript.pyannote[33].end 87.29159375
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 90.83534375
transcript.pyannote[34].end 95.20596875
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 96.55596875
transcript.pyannote[35].end 97.38284375
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 97.55159375
transcript.pyannote[36].end 102.83346875
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 102.83346875
transcript.pyannote[37].end 134.55846875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 103.37346875
transcript.pyannote[38].end 104.60534375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 107.33909375
transcript.pyannote[39].end 109.73534375
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 134.74409375
transcript.pyannote[40].end 147.48471875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 141.47721875
transcript.pyannote[41].end 141.52784375
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 147.99096875
transcript.pyannote[42].end 159.61784375
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 160.74846875
transcript.pyannote[43].end 166.80659375
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 167.26221875
transcript.pyannote[44].end 169.27034375
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 169.30409375
transcript.pyannote[45].end 171.09284375
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 171.27846875
transcript.pyannote[46].end 173.32034375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 173.20221875
transcript.pyannote[47].end 173.91096875
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 173.79284375
transcript.pyannote[48].end 184.59284375
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 185.55471875
transcript.pyannote[49].end 186.82034375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 185.67284375
transcript.pyannote[50].end 186.14534375
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 186.97221875
transcript.pyannote[51].end 186.98909375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 186.98909375
transcript.pyannote[52].end 187.84971875
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 187.29284375
transcript.pyannote[53].end 200.10096875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 200.89409375
transcript.pyannote[54].end 202.24409375
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 202.24409375
transcript.pyannote[55].end 203.29034375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 202.26096875
transcript.pyannote[56].end 202.44659375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 202.44659375
transcript.pyannote[57].end 202.48034375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 202.48034375
transcript.pyannote[58].end 202.49721875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 203.29034375
transcript.pyannote[59].end 203.32409375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 203.67846875
transcript.pyannote[60].end 219.22034375
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 219.62534375
transcript.pyannote[61].end 225.43034375
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 226.13909375
transcript.pyannote[62].end 228.02909375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 228.02909375
transcript.pyannote[63].end 235.97721875
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 235.97721875
transcript.pyannote[64].end 247.16534375
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 247.36784375
transcript.pyannote[65].end 263.71971875
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 264.34409375
transcript.pyannote[66].end 265.69409375
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 266.11596875
transcript.pyannote[67].end 268.12409375
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 268.61346875
transcript.pyannote[68].end 269.77784375
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 270.01409375
transcript.pyannote[69].end 271.24596875
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 271.61721875
transcript.pyannote[70].end 274.04721875
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 274.97534375
transcript.pyannote[71].end 276.76409375
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 277.89471875
transcript.pyannote[72].end 279.17721875
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 279.32909375
transcript.pyannote[73].end 280.34159375
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 280.89846875
transcript.pyannote[74].end 281.25284375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 281.25284375
transcript.pyannote[75].end 281.26971875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 281.40471875
transcript.pyannote[76].end 283.39596875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 283.85159375
transcript.pyannote[77].end 286.61909375
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 285.43784375
transcript.pyannote[78].end 285.80909375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 287.12534375
transcript.pyannote[79].end 291.15846875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 292.49159375
transcript.pyannote[80].end 293.97659375
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 293.97659375
transcript.pyannote[81].end 302.29596875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 304.28721875
transcript.pyannote[82].end 311.91471875
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 313.63596875
transcript.pyannote[83].end 320.55471875
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 321.29721875
transcript.pyannote[84].end 323.15346875
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 323.64284375
transcript.pyannote[85].end 340.14659375
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 340.60221875
transcript.pyannote[86].end 343.45409375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 343.50471875
transcript.pyannote[87].end 343.96034375
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 343.96034375
transcript.pyannote[88].end 344.33159375
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 344.82096875
transcript.pyannote[89].end 346.71096875
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 347.45346875
transcript.pyannote[90].end 348.31409375
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 348.61784375
transcript.pyannote[91].end 355.14846875
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 355.40159375
transcript.pyannote[92].end 356.78534375
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 361.64534375
transcript.pyannote[93].end 362.86034375
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 363.40034375
transcript.pyannote[94].end 364.49721875
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 364.76721875
transcript.pyannote[95].end 366.16784375
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 366.35346875
transcript.pyannote[96].end 367.34909375
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 369.44159375
transcript.pyannote[97].end 372.24284375
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 372.74909375
transcript.pyannote[98].end 373.39034375
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 374.25096875
transcript.pyannote[99].end 377.84534375
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 378.30096875
transcript.pyannote[100].end 379.27971875
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 379.53284375
transcript.pyannote[101].end 395.66534375
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 396.40784375
transcript.pyannote[102].end 397.04909375
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 397.57221875
transcript.pyannote[103].end 401.55471875
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 401.77409375
transcript.pyannote[104].end 404.28846875
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 405.26721875
transcript.pyannote[105].end 406.44846875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 406.85346875
transcript.pyannote[106].end 406.87034375
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 406.87034375
transcript.pyannote[107].end 406.97159375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 406.97159375
transcript.pyannote[108].end 407.93346875
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 407.93346875
transcript.pyannote[109].end 407.96721875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 407.96721875
transcript.pyannote[110].end 418.44659375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 419.07096875
transcript.pyannote[111].end 422.63159375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 422.83409375
transcript.pyannote[112].end 430.64721875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 431.18721875
transcript.pyannote[113].end 435.03471875
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 435.03471875
transcript.pyannote[114].end 443.25284375
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 444.21471875
transcript.pyannote[115].end 445.66596875
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 446.42534375
transcript.pyannote[116].end 449.53034375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 446.69534375
transcript.pyannote[117].end 464.17784375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 464.54909375
transcript.pyannote[118].end 468.95346875
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 469.25721875
transcript.pyannote[119].end 475.68659375
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 476.14221875
transcript.pyannote[120].end 480.41159375
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 481.03596875
transcript.pyannote[121].end 481.62659375
transcript.pyannote[122].speaker SPEAKER_03
transcript.pyannote[122].start 482.40284375
transcript.pyannote[122].end 485.11971875
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 485.59221875
transcript.pyannote[123].end 486.62159375
transcript.pyannote[124].speaker SPEAKER_03
transcript.pyannote[124].start 487.66784375
transcript.pyannote[124].end 492.25784375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 488.14034375
transcript.pyannote[125].end 497.23596875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 497.47221875
transcript.pyannote[126].end 499.58159375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 499.80096875
transcript.pyannote[127].end 500.69534375
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 505.26846875
transcript.pyannote[128].end 506.14596875
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 507.58034375
transcript.pyannote[129].end 509.80784375
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 510.53346875
transcript.pyannote[130].end 519.56159375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 520.52346875
transcript.pyannote[131].end 521.06346875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 521.70471875
transcript.pyannote[132].end 522.86909375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 522.97034375
transcript.pyannote[133].end 523.56096875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 523.84784375
transcript.pyannote[134].end 530.64846875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 530.69909375
transcript.pyannote[135].end 540.38534375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 540.60471875
transcript.pyannote[136].end 541.75221875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 542.15721875
transcript.pyannote[137].end 555.23534375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 555.62346875
transcript.pyannote[138].end 563.35221875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 563.63909375
transcript.pyannote[139].end 564.51659375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 564.92159375
transcript.pyannote[140].end 567.94221875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 568.00971875
transcript.pyannote[141].end 569.98409375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 570.87846875
transcript.pyannote[142].end 581.45909375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 581.50971875
transcript.pyannote[143].end 586.82534375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 587.17971875
transcript.pyannote[144].end 590.95971875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 591.39846875
transcript.pyannote[145].end 598.30034375
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 598.70534375
transcript.pyannote[146].end 604.00409375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 604.20659375
transcript.pyannote[147].end 605.08409375
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 604.98284375
transcript.pyannote[148].end 605.38784375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 605.38784375
transcript.pyannote[149].end 615.86721875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 616.06971875
transcript.pyannote[150].end 623.88284375
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 616.45784375
transcript.pyannote[151].end 616.49159375
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 624.76034375
transcript.pyannote[152].end 625.57034375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 625.43534375
transcript.pyannote[153].end 627.46034375
transcript.pyannote[154].speaker SPEAKER_03
transcript.pyannote[154].start 626.17784375
transcript.pyannote[154].end 632.16846875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 632.97846875
transcript.pyannote[155].end 633.87284375
transcript.pyannote[156].speaker SPEAKER_03
transcript.pyannote[156].start 633.33284375
transcript.pyannote[156].end 638.24346875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 638.42909375
transcript.pyannote[157].end 642.12471875
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 639.13784375
transcript.pyannote[158].end 640.28534375
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 642.36096875
transcript.pyannote[159].end 644.21721875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 642.56346875
transcript.pyannote[160].end 658.99971875
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 644.55471875
transcript.pyannote[161].end 645.09471875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 650.47784375
transcript.pyannote[162].end 650.96721875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 650.96721875
transcript.pyannote[163].end 651.03471875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 656.29971875
transcript.pyannote[164].end 656.75534375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 659.11784375
transcript.pyannote[165].end 666.47534375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 666.66096875
transcript.pyannote[166].end 671.95971875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 672.04409375
transcript.pyannote[167].end 677.34284375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 677.56221875
transcript.pyannote[168].end 678.97971875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 679.58721875
transcript.pyannote[169].end 680.38034375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 681.57846875
transcript.pyannote[170].end 684.66659375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 684.91971875
transcript.pyannote[171].end 686.91096875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 687.31596875
transcript.pyannote[172].end 689.49284375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 689.86409375
transcript.pyannote[173].end 693.49221875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 693.93096875
transcript.pyannote[174].end 698.99346875
transcript.pyannote[175].speaker SPEAKER_03
transcript.pyannote[175].start 699.82034375
transcript.pyannote[175].end 703.60034375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 703.60034375
transcript.pyannote[176].end 705.35534375
transcript.pyannote[177].speaker SPEAKER_03
transcript.pyannote[177].start 703.61721875
transcript.pyannote[177].end 703.65096875
transcript.pyannote[178].speaker SPEAKER_03
transcript.pyannote[178].start 704.22471875
transcript.pyannote[178].end 708.37596875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 708.34221875
transcript.pyannote[179].end 708.69659375
transcript.pyannote[180].speaker SPEAKER_03
transcript.pyannote[180].start 708.39284375
transcript.pyannote[180].end 708.42659375
transcript.pyannote[181].speaker SPEAKER_03
transcript.pyannote[181].start 708.56159375
transcript.pyannote[181].end 708.57846875
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 708.59534375
transcript.pyannote[182].end 710.73846875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 710.99159375
transcript.pyannote[183].end 713.23596875
transcript.pyannote[184].speaker SPEAKER_03
transcript.pyannote[184].start 711.02534375
transcript.pyannote[184].end 713.82659375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 713.53971875
transcript.pyannote[185].end 715.58159375
transcript.pyannote[186].speaker SPEAKER_03
transcript.pyannote[186].start 715.58159375
transcript.pyannote[186].end 715.98659375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 715.85159375
transcript.pyannote[187].end 722.34846875
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 722.58471875
transcript.pyannote[188].end 725.84159375
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 725.77409375
transcript.pyannote[189].end 728.67659375
transcript.pyannote[190].speaker SPEAKER_03
transcript.pyannote[190].start 728.77784375
transcript.pyannote[190].end 734.65034375
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 734.85284375
transcript.pyannote[191].end 735.19034375
transcript.pyannote[192].speaker SPEAKER_03
transcript.pyannote[192].start 735.84846875
transcript.pyannote[192].end 740.35409375
transcript.pyannote[193].speaker SPEAKER_03
transcript.pyannote[193].start 740.64096875
transcript.pyannote[193].end 741.06284375
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 741.21471875
transcript.pyannote[194].end 742.68284375
transcript.pyannote[195].speaker SPEAKER_03
transcript.pyannote[195].start 745.19721875
transcript.pyannote[195].end 746.00721875
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 746.63159375
transcript.pyannote[196].end 747.55971875
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 749.85471875
transcript.pyannote[197].end 751.10346875
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 752.43659375
transcript.pyannote[198].end 752.55471875
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 754.00596875
transcript.pyannote[199].end 755.96346875
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 754.54596875
transcript.pyannote[200].end 755.87909375
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 755.96346875
transcript.pyannote[201].end 756.25034375
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 756.80721875
transcript.pyannote[202].end 760.87409375
transcript.pyannote[203].speaker SPEAKER_03
transcript.pyannote[203].start 757.00971875
transcript.pyannote[203].end 757.09409375
transcript.pyannote[204].speaker SPEAKER_04
transcript.pyannote[204].start 757.09409375
transcript.pyannote[204].end 757.27971875
transcript.pyannote[205].speaker SPEAKER_03
transcript.pyannote[205].start 757.27971875
transcript.pyannote[205].end 757.33034375
transcript.pyannote[206].speaker SPEAKER_04
transcript.pyannote[206].start 760.70534375
transcript.pyannote[206].end 763.32096875
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 763.32096875
transcript.pyannote[207].end 766.59471875
transcript.pyannote[208].speaker SPEAKER_04
transcript.pyannote[208].start 764.73846875
transcript.pyannote[208].end 767.06721875
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 766.64534375
transcript.pyannote[209].end 771.04971875
transcript.pyannote[210].speaker SPEAKER_03
transcript.pyannote[210].start 771.64034375
transcript.pyannote[210].end 801.59346875
transcript.pyannote[211].speaker SPEAKER_03
transcript.pyannote[211].start 802.60596875
transcript.pyannote[211].end 810.79034375
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 810.97596875
transcript.pyannote[212].end 833.20034375
transcript.pyannote[213].speaker SPEAKER_03
transcript.pyannote[213].start 833.97659375
transcript.pyannote[213].end 834.26346875
transcript.pyannote[214].speaker SPEAKER_03
transcript.pyannote[214].start 834.80346875
transcript.pyannote[214].end 835.54596875
transcript.pyannote[215].speaker SPEAKER_03
transcript.pyannote[215].start 836.33909375
transcript.pyannote[215].end 837.26721875
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 837.80721875
transcript.pyannote[216].end 839.12346875
transcript.pyannote[217].speaker SPEAKER_03
transcript.pyannote[217].start 839.57909375
transcript.pyannote[217].end 840.54096875
transcript.pyannote[218].speaker SPEAKER_03
transcript.pyannote[218].start 840.91221875
transcript.pyannote[218].end 842.43096875
transcript.pyannote[219].speaker SPEAKER_03
transcript.pyannote[219].start 843.69659375
transcript.pyannote[219].end 844.54034375
transcript.pyannote[220].speaker SPEAKER_03
transcript.pyannote[220].start 845.31659375
transcript.pyannote[220].end 845.87346875
transcript.pyannote[221].speaker SPEAKER_03
transcript.pyannote[221].start 846.41346875
transcript.pyannote[221].end 846.86909375
transcript.pyannote[222].speaker SPEAKER_03
transcript.pyannote[222].start 847.34159375
transcript.pyannote[222].end 848.52284375
transcript.pyannote[223].speaker SPEAKER_03
transcript.pyannote[223].start 848.64096875
transcript.pyannote[223].end 850.85159375
transcript.pyannote[224].speaker SPEAKER_03
transcript.pyannote[224].start 851.45909375
transcript.pyannote[224].end 852.40409375
transcript.pyannote[225].speaker SPEAKER_03
transcript.pyannote[225].start 852.67409375
transcript.pyannote[225].end 853.68659375
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 855.52596875
transcript.pyannote[226].end 859.64346875
transcript.pyannote[227].speaker SPEAKER_03
transcript.pyannote[227].start 858.63096875
transcript.pyannote[227].end 868.53659375
transcript.pyannote[228].speaker SPEAKER_03
transcript.pyannote[228].start 870.51096875
transcript.pyannote[228].end 876.94034375
transcript.pyannote[229].speaker SPEAKER_03
transcript.pyannote[229].start 877.14284375
transcript.pyannote[229].end 879.47159375
transcript.pyannote[230].speaker SPEAKER_03
transcript.pyannote[230].start 880.80471875
transcript.pyannote[230].end 882.45846875
transcript.pyannote[231].speaker SPEAKER_03
transcript.pyannote[231].start 883.30221875
transcript.pyannote[231].end 884.41596875
transcript.pyannote[232].speaker SPEAKER_03
transcript.pyannote[232].start 884.70284375
transcript.pyannote[232].end 885.83346875
transcript.pyannote[233].speaker SPEAKER_03
transcript.pyannote[233].start 887.48721875
transcript.pyannote[233].end 888.55034375
transcript.pyannote[234].speaker SPEAKER_03
transcript.pyannote[234].start 888.66846875
transcript.pyannote[234].end 890.05221875
transcript.pyannote[235].speaker SPEAKER_03
transcript.pyannote[235].start 891.06471875
transcript.pyannote[235].end 891.68909375
transcript.pyannote[236].speaker SPEAKER_03
transcript.pyannote[236].start 892.04346875
transcript.pyannote[236].end 893.52846875
transcript.pyannote[237].speaker SPEAKER_03
transcript.pyannote[237].start 893.89971875
transcript.pyannote[237].end 894.81096875
transcript.pyannote[238].speaker SPEAKER_03
transcript.pyannote[238].start 895.63784375
transcript.pyannote[238].end 897.51096875
transcript.pyannote[239].speaker SPEAKER_03
transcript.pyannote[239].start 897.84846875
transcript.pyannote[239].end 898.57409375
transcript.pyannote[240].speaker SPEAKER_03
transcript.pyannote[240].start 899.58659375
transcript.pyannote[240].end 900.37971875
transcript.pyannote[241].speaker SPEAKER_03
transcript.pyannote[241].start 900.70034375
transcript.pyannote[241].end 902.94471875
transcript.pyannote[242].speaker SPEAKER_03
transcript.pyannote[242].start 903.18096875
transcript.pyannote[242].end 907.68659375
transcript.pyannote[243].speaker SPEAKER_03
transcript.pyannote[243].start 909.28971875
transcript.pyannote[243].end 911.83784375
transcript.pyannote[244].speaker SPEAKER_03
transcript.pyannote[244].start 912.41159375
transcript.pyannote[244].end 913.94721875
transcript.pyannote[245].speaker SPEAKER_03
transcript.pyannote[245].start 914.18346875
transcript.pyannote[245].end 915.16221875
transcript.pyannote[246].speaker SPEAKER_03
transcript.pyannote[246].start 915.85409375
transcript.pyannote[246].end 916.27596875
transcript.pyannote[247].speaker SPEAKER_03
transcript.pyannote[247].start 917.65971875
transcript.pyannote[247].end 918.30096875
transcript.pyannote[248].speaker SPEAKER_03
transcript.pyannote[248].start 919.14471875
transcript.pyannote[248].end 920.14034375
transcript.pyannote[249].speaker SPEAKER_03
transcript.pyannote[249].start 921.84471875
transcript.pyannote[249].end 923.97096875
transcript.pyannote[250].speaker SPEAKER_03
transcript.pyannote[250].start 924.83159375
transcript.pyannote[250].end 926.01284375
transcript.pyannote[251].speaker SPEAKER_03
transcript.pyannote[251].start 926.50221875
transcript.pyannote[251].end 926.97471875
transcript.pyannote[252].speaker SPEAKER_04
transcript.pyannote[252].start 927.36284375
transcript.pyannote[252].end 940.42409375
transcript.pyannote[253].speaker SPEAKER_03
transcript.pyannote[253].start 929.97846875
transcript.pyannote[253].end 930.41721875
transcript.pyannote[254].speaker SPEAKER_03
transcript.pyannote[254].start 934.16346875
transcript.pyannote[254].end 934.18034375
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 934.18034375
transcript.pyannote[255].end 934.63596875
transcript.pyannote[256].speaker SPEAKER_01
transcript.pyannote[256].start 940.03596875
transcript.pyannote[256].end 941.09909375
transcript.pyannote[257].speaker SPEAKER_04
transcript.pyannote[257].start 940.71096875
transcript.pyannote[257].end 946.24596875
transcript.pyannote[258].speaker SPEAKER_03
transcript.pyannote[258].start 946.24596875
transcript.pyannote[258].end 946.65096875
transcript.pyannote[259].speaker SPEAKER_04
transcript.pyannote[259].start 946.61721875
transcript.pyannote[259].end 947.35971875
transcript.pyannote[260].speaker SPEAKER_03
transcript.pyannote[260].start 947.30909375
transcript.pyannote[260].end 947.74784375
transcript.pyannote[261].speaker SPEAKER_04
transcript.pyannote[261].start 947.66346875
transcript.pyannote[261].end 949.85721875
transcript.pyannote[262].speaker SPEAKER_03
transcript.pyannote[262].start 948.84471875
transcript.pyannote[262].end 971.65971875
transcript.pyannote[263].speaker SPEAKER_04
transcript.pyannote[263].start 952.13534375
transcript.pyannote[263].end 953.92409375
transcript.pyannote[264].speaker SPEAKER_00
transcript.pyannote[264].start 953.92409375
transcript.pyannote[264].end 954.09284375
transcript.pyannote[265].speaker SPEAKER_00
transcript.pyannote[265].start 955.37534375
transcript.pyannote[265].end 955.54409375
transcript.pyannote[266].speaker SPEAKER_02
transcript.pyannote[266].start 956.37096875
transcript.pyannote[266].end 956.45534375
transcript.pyannote[267].speaker SPEAKER_04
transcript.pyannote[267].start 956.45534375
transcript.pyannote[267].end 956.70846875
transcript.pyannote[268].speaker SPEAKER_02
transcript.pyannote[268].start 956.70846875
transcript.pyannote[268].end 956.75909375
transcript.pyannote[269].speaker SPEAKER_00
transcript.pyannote[269].start 957.88971875
transcript.pyannote[269].end 957.90659375
transcript.pyannote[270].speaker SPEAKER_02
transcript.pyannote[270].start 957.90659375
transcript.pyannote[270].end 958.07534375
transcript.pyannote[271].speaker SPEAKER_02
transcript.pyannote[271].start 958.12596875
transcript.pyannote[271].end 958.29471875
transcript.pyannote[272].speaker SPEAKER_02
transcript.pyannote[272].start 961.46721875
transcript.pyannote[272].end 961.53471875
transcript.pyannote[273].speaker SPEAKER_04
transcript.pyannote[273].start 961.53471875
transcript.pyannote[273].end 961.88909375
transcript.pyannote[274].speaker SPEAKER_02
transcript.pyannote[274].start 961.88909375
transcript.pyannote[274].end 962.09159375
transcript.pyannote[275].speaker SPEAKER_03
transcript.pyannote[275].start 971.81159375
transcript.pyannote[275].end 986.08784375
transcript.pyannote[276].speaker SPEAKER_00
transcript.pyannote[276].start 972.95909375
transcript.pyannote[276].end 973.06034375
transcript.pyannote[277].speaker SPEAKER_00
transcript.pyannote[277].start 973.22909375
transcript.pyannote[277].end 973.48221875
transcript.pyannote[278].speaker SPEAKER_03
transcript.pyannote[278].start 986.50971875
transcript.pyannote[278].end 987.08346875
transcript.pyannote[279].speaker SPEAKER_03
transcript.pyannote[279].start 988.18034375
transcript.pyannote[279].end 994.01909375
transcript.pyannote[280].speaker SPEAKER_03
transcript.pyannote[280].start 994.33971875
transcript.pyannote[280].end 998.99721875
transcript.pyannote[281].speaker SPEAKER_03
transcript.pyannote[281].start 999.65534375
transcript.pyannote[281].end 1001.69721875
transcript.pyannote[282].speaker SPEAKER_03
transcript.pyannote[282].start 1001.96721875
transcript.pyannote[282].end 1002.97971875
transcript.pyannote[283].speaker SPEAKER_04
transcript.pyannote[283].start 1003.45221875
transcript.pyannote[283].end 1028.17409375
transcript.pyannote[284].speaker SPEAKER_03
transcript.pyannote[284].start 1029.10221875
transcript.pyannote[284].end 1033.50659375
transcript.pyannote[285].speaker SPEAKER_03
transcript.pyannote[285].start 1034.09721875
transcript.pyannote[285].end 1035.39659375
transcript.pyannote[286].speaker SPEAKER_04
transcript.pyannote[286].start 1035.39659375
transcript.pyannote[286].end 1039.10909375
transcript.pyannote[287].speaker SPEAKER_03
transcript.pyannote[287].start 1038.09659375
transcript.pyannote[287].end 1043.88471875
transcript.pyannote[288].speaker SPEAKER_04
transcript.pyannote[288].start 1041.97784375
transcript.pyannote[288].end 1043.73284375
transcript.pyannote[289].speaker SPEAKER_04
transcript.pyannote[289].start 1043.81721875
transcript.pyannote[289].end 1043.85096875
transcript.pyannote[290].speaker SPEAKER_04
transcript.pyannote[290].start 1043.88471875
transcript.pyannote[290].end 1045.47096875
transcript.pyannote[291].speaker SPEAKER_03
transcript.pyannote[291].start 1044.28971875
transcript.pyannote[291].end 1048.84596875
transcript.pyannote[292].speaker SPEAKER_03
transcript.pyannote[292].start 1049.72346875
transcript.pyannote[292].end 1050.63471875
transcript.pyannote[293].speaker SPEAKER_03
transcript.pyannote[293].start 1050.92159375
transcript.pyannote[293].end 1058.31284375
transcript.pyannote[294].speaker SPEAKER_04
transcript.pyannote[294].start 1055.64659375
transcript.pyannote[294].end 1056.13596875
transcript.pyannote[295].speaker SPEAKER_04
transcript.pyannote[295].start 1058.27909375
transcript.pyannote[295].end 1059.24096875
transcript.pyannote[296].speaker SPEAKER_03
transcript.pyannote[296].start 1058.61659375
transcript.pyannote[296].end 1061.85659375
transcript.pyannote[297].speaker SPEAKER_04
transcript.pyannote[297].start 1061.85659375
transcript.pyannote[297].end 1064.84346875
transcript.pyannote[298].speaker SPEAKER_03
transcript.pyannote[298].start 1062.12659375
transcript.pyannote[298].end 1062.24471875
transcript.pyannote[299].speaker SPEAKER_03
transcript.pyannote[299].start 1064.06721875
transcript.pyannote[299].end 1066.80096875
transcript.pyannote[300].speaker SPEAKER_03
transcript.pyannote[300].start 1066.81784375
transcript.pyannote[300].end 1068.67409375
transcript.pyannote[301].speaker SPEAKER_04
transcript.pyannote[301].start 1066.88534375
transcript.pyannote[301].end 1067.03721875
transcript.pyannote[302].speaker SPEAKER_02
transcript.pyannote[302].start 1067.03721875
transcript.pyannote[302].end 1069.66971875
transcript.pyannote[303].speaker SPEAKER_03
transcript.pyannote[303].start 1069.07909375
transcript.pyannote[303].end 1069.53471875
transcript.pyannote[304].speaker SPEAKER_03
transcript.pyannote[304].start 1070.04096875
transcript.pyannote[304].end 1075.91346875
transcript.pyannote[305].speaker SPEAKER_02
transcript.pyannote[305].start 1071.86346875
transcript.pyannote[305].end 1072.99409375
transcript.whisperx[0].start 4.687
transcript.whisperx[0].end 29.395
transcript.whisperx[0].text 好,謝謝主席。主席辛苦。有請部長。部長,你也辛苦。我想今天討論這個人工生殖法的修法,各黨團體都有提出不同意見跟修法這個方向,相關的版本。關於代孕這個議題,我想台灣已經討論多年了。
transcript.whisperx[1].start 30.287
transcript.whisperx[1].end 51.349
transcript.whisperx[1].text 但是在修法討論之前有一些問題還是需要做詳細的討論跟徹底的釐清所以我們希望這個制度建立能夠盡可能做到這個風險積低然後避免爭議這樣才能夠讓有需求的民眾有所保障也讓社會大眾可以去理解然後了解到整個這樣的一個
transcript.whisperx[2].start 52.109
transcript.whisperx[2].end 57.052
transcript.whisperx[2].text 擬具、「人工生殖法部分條文修正草案案案案案案案案案案案案案案案案案案案
transcript.whisperx[3].start 80.586
transcript.whisperx[3].end 94.174
transcript.whisperx[3].text 沒有啦,這都經過專家的會議當然是有一定的一個...我是請教是待遇的制度有準備好了嗎?沒有對不起,待遇制度的上路是我已經做好準備啦,應該這麼講嘛。
transcript.whisperx[4].start 96.598
transcript.whisperx[4].end 119.081
transcript.whisperx[4].text 有跟沒有嗎?因為這個都是一直在討論嘛,那我們聽到更多的聲音就覺得說還不足。是,所以等於就是還沒有準備好嘛,應該是這麼說嘛。不然就直接了當回答吧。因為我說問事情也都很直接了當的啦齁。那我給部長有一個資料做參考齁,你看這個螢幕裡面,這寫得非常清楚齁,這個是這個刊登在
transcript.whisperx[5].start 119.842
transcript.whisperx[5].end 146.263
transcript.whisperx[5].text 內科醫學年鑑還有認證攜帶者中嚴重的孕產婦和新生兒的發病率。這個世代研究的統計資料是說研究人員發現代孕孕婦出現嚴重產婦病發症的比例為7.8。然後是自然懷孕的孕婦發生率的2.3等於是高達三倍多。然後幾乎是透過體外受精受孕的孕婦發生率是4.3的兩倍多。
transcript.whisperx[6].start 148.064
transcript.whisperx[6].end 159.226
transcript.whisperx[6].text 也就是說自然懷孕的風險由夫妻來自身承擔那代孕的這個代孕者的這個懷孕的風險原受試的夫妻要如何來承擔
transcript.whisperx[7].start 160.796
transcript.whisperx[7].end 182.966
transcript.whisperx[7].text 那代孕的制度如果上路,那相關的風險也應該必須要好好去嚴格的來降低嘛。看誰要配到來做降低嘛。我是簡單講這一個啦,因為這是研究的一個刊登在內科醫學連線還有相關的一些世代研究裡面的報導。這個資料你們應該有吧?
transcript.whisperx[8].start 189.478
transcript.whisperx[8].end 199.775
transcript.whisperx[8].text 對,這個資料出來的時候應該我們就有相關的一些因應的降低的這個風險還是說元壽司的夫妻他們要來如何承擔這個我們有相關的配套嗎?
transcript.whisperx[9].start 204.059
transcript.whisperx[9].end 218.992
transcript.whisperx[9].text 謝謝委員我想如何去保障跟降低代孕者的風險那當然就必須要透過相關的規範包括企業包括保險包括相關的衛教評估尤其是代孕前的評估必須要完整
transcript.whisperx[10].start 219.736
transcript.whisperx[10].end 246.861
transcript.whisperx[10].text 所以這個我們都有事先的一些我們都有事先討論過有討論過啦但是還沒有還沒有說一個配套的一個出稿的成型嘛應該是沒有吧應該是說在這個法令沒有授權的時候這些我們都有討論在準備中準備中而已嘛齁好那今年5月啦齁我們將這個人工生殖法的草案公告那其中有關這個代孕的相關的條文這段期間啦當然有些委員也針對這個在代孕的提出修法
transcript.whisperx[11].start 247.501
transcript.whisperx[11].end 273.156
transcript.whisperx[11].text 那我想說衛務部公告過關於這個代孕的修法草案以及代孕制度通過以後會變成問題相關的適應細則還有這個瘦素夫妻與代孕者是我合適的進行代孕的評估方法及認定標準代孕的契約的擬定代孕的相關的專業諮詢制度代孕的相關的會用代孕者的風險管理處理代孕適宜的服務機構等細節
transcript.whisperx[12].start 275.034
transcript.whisperx[12].end 280.117
transcript.whisperx[12].text 立法院第1屆第2會期社會福利及法制委員第1屆第2會期社會福利及法制委員第1屆第2會期社會福利及法制委員第1屆第2會期社會福利及法制委員
transcript.whisperx[13].start 304.609
transcript.whisperx[13].end 322.836
transcript.whisperx[13].text 這些行政規則或者是行政的法規當然是要在法規授權之後當然我們同時也在準備中我是覺得是這樣就是說如果五月份的公告就是要朝這個方向走那這個相關的配套
transcript.whisperx[14].start 323.68
transcript.whisperx[14].end 329.224
transcript.whisperx[14].text 等19人擬具 «人工生殖法部分條文修正草案案案案案案案案案案案案案
transcript.whisperx[15].start 344.915
transcript.whisperx[15].end 356.481
transcript.whisperx[15].text 然後再來就是說我們在野黨團目前支持這個人工生殖網蠟路代孕很有可能這個代孕法規會三度通過那屆時外務部要怎麼處理這是現實現狀因為今天召委已經把這個安排進來了嘛就大家討論嘛你如果相關細則相關配套都要在討論中那現在
transcript.whisperx[16].start 374.258
transcript.whisperx[16].end 385.229
transcript.whisperx[16].text 擬具:「人工生殖法部分條文修正草案.立法院第1次聯席會議.立法院第2次聯席會議.立法院第3次聯席會議.立法院第4次聯席會議.立法院第5次聯席會議.立法院第6次聯席會議.立法院第7次聯席會議.立法院第8次聯席會議.立法院第9次聯席會議.立法院第10次聯席會議.立法院第11次聯席會議.立法院第12次聯席會議.立法院第13次聯席會議.立法院第14次聯席會議.立法院第15次
transcript.whisperx[17].start 397.631
transcript.whisperx[17].end 404.253
transcript.whisperx[17].text 等19人擬具:「人工生殖法部分條文修正草案案 案 等19人擬具:「人工生殖法部分條文修正草案 案 等19人擬具:「人工生殖法部分條文修正草案 案 等19人擬具:「人工生殖法部分條文修正草案 案 等19人擬具:「
transcript.whisperx[18].start 405.522
transcript.whisperx[18].end 430.197
transcript.whisperx[18].text 這個法案你們怎麼應應?所以第一個我們跟委員報告所以因為我們覺得還有很多需要釐清需要溝通所以我們的衛生部的立場是希望先在單身女性跟女同性配偶這個部分先行那後續因為比較多需要更嚴謹來討論的來配套措施的所以我們這個部分在
transcript.whisperx[19].start 432.479
transcript.whisperx[19].end 443.064
transcript.whisperx[19].text 第二階段以後再來我們再好好的來演繹這樣。我剛剛請教的問題很清楚嘛,萬一這個法案三度通過,那它就沒有侷限在哪一個部分喔?
transcript.whisperx[20].start 444.301
transcript.whisperx[20].end 468.558
transcript.whisperx[20].text 所以你回答我這樣是好像這個法律是你修的當然我們尊重立法院的各位立法委員的意見那我們站在過去多年來一直研議到怎麼樣把最先進行做好的情況之下我們目前的立場是這樣也希望委員們能夠瞭解我們現在行政部門的立場
transcript.whisperx[21].start 469.538
transcript.whisperx[21].end 486.377
transcript.whisperx[21].text 我現在是提出事情啦好不好我知道如果你相關的配套私營細則都還不見成熟的情況之下這個法律如果進到三讀之後你會務部、國建署你們要如何去應應還是搞到最後
transcript.whisperx[22].start 487.728
transcript.whisperx[22].end 500.292
transcript.whisperx[22].text 擬具:「人工生殖法部分條文修正草案案 案件,並擬具:「人工生殖法部分條文修正草案 案件,並擬具:「人工生殖法部分條文修正草案 案件,並擬具:「人工生殖法部分條文修正草案 案件,並擬具:「人工生殖法部分條文修正草案 案件,並擬具:「人工生殖法部分條文修正草案 案件,並擬具:「人工生殖法部分條文修正草案 案件,並擬具:「人工生殖法部分條文修正草案 案件,並擬具:「人工生殖法部分條文修正草案 案件,並擬具:「人工生
transcript.whisperx[23].start 507.825
transcript.whisperx[23].end 519.233
transcript.whisperx[23].text 參事是不是?謝謝王參事。我要請教你就是說對於人工生殖法納入代理運母有什麼樣的看法跟立場?在原有的這個現有的法律上會不會有造成相關的一些衝突?
transcript.whisperx[24].start 521.761
transcript.whisperx[24].end 548.641
transcript.whisperx[24].text 跟委員報告因為人工生殖子女適用民法其實是會有疑義的所以我們就比如說代理孕母是分娩者跟卵子提供者是不同的人那懷胎生產的婦女就不一定會跟所出生的子女有血緣上的聯絡那我們民法規定的設計本來是以有沒有婚姻關係所生的子女來分婚生子女或非婚生子女或者是用血緣關係來看
transcript.whisperx[25].start 549.662
transcript.whisperx[25].end 556.811
transcript.whisperx[25].text 擬具 «人工生殖法部分條文修正草案»案。規定規定的所以如果有反正好認為他不是他的婚生子女話他是可以
transcript.whisperx[26].start 564.075
transcript.whisperx[26].end 570.5
transcript.whisperx[26].text 擬具:「人工生殖法部分條文修正草案案 條文修正草案 條文修正草案 條文修正草案 條文修正草案 條文修正草案 條文修正草案 條文修正草案 條文修正草案
transcript.whisperx[27].start 591.738
transcript.whisperx[27].end 594.849
transcript.whisperx[27].text 擬具〈人工生殖法部分條文修正草案案〉案。
transcript.whisperx[28].start 598.752
transcript.whisperx[28].end 623.399
transcript.whisperx[28].text 我能不能再簡單請教一個問題,代孕者與代孕所生的子女這個血清的問題要如何處理?血清的問題?因為其實就像收養一樣,因為我們代理孕母的規範如果是在人工生殖法,我們就一律都是視為婚生子女,視為就是擬製的血清。就是視為這個方式就跟我們收養一樣都是擬製的血清,那這個清等不會有問題。
transcript.whisperx[29].start 624.953
transcript.whisperx[29].end 631.928
transcript.whisperx[29].text 輕的不會有問題。那現在相關的版本,各位委員的相關提幹的版本,你覺得有沒有什麼大的問題的存在?
transcript.whisperx[30].start 633.396
transcript.whisperx[30].end 656.641
transcript.whisperx[30].text 你們應該有檢視過了嘛對不對今天你來列席大致上你的委員版本還是你都還沒有看過有看過了但是真的很複雜那真的很複雜連你都覺得很複雜了因為這涉及到很多社會倫理還有這個兒童權益還有育母的保障他們各方面還有社會的期待要怎麼滿足其實這個還蠻複雜的這很涉及專業
transcript.whisperx[31].start 659.242
transcript.whisperx[31].end 661.803
transcript.whisperx[31].text 等19人擬具〈人工生殖法部分條文修正草案案〉案。
transcript.whisperx[32].start 681.658
transcript.whisperx[32].end 698.288
transcript.whisperx[32].text 事實上現在如果是在國外代理育母出生的孩子他們也是看看國外的規範是怎麼樣然後再經過我們國內的法律程序可能就是用就是認領或收養或者是經過法律訴訟的程序來確認
transcript.whisperx[33].start 699.844
transcript.whisperx[33].end 721.939
transcript.whisperx[33].text 你覺得現在這樣的法律修正是可以處理的?你要講清楚喔你前面講很複雜後面又講說可以處理我覺得是有點衝突跟矛盾請參事要小心回答代理育母的這個問題我們都尊重主管機關如果準備好的話但是這個問題牽涉很多很複雜這個一定要從長計要審慎的評估
transcript.whisperx[34].start 726.102
transcript.whisperx[34].end 747.39
transcript.whisperx[34].text 好,你前面的講法我有點如雷,好啦,好,你請回吧,小心啦,謝謝。好,我大致上釐清一些事情啦齁,那最後我再,主席再給我一分鐘就好齁。這個,這個部長你看一下頭影片。EAP,部長知道這是什麼吧?部長不知道,署長知道吧?
transcript.whisperx[35].start 754.165
transcript.whisperx[35].end 770.384
transcript.whisperx[35].text 市長趕快跟我們...是是是,這個我們理事的專家專業。報告委員是員工協助方案?對啦對啦,要跟你知道,不然在書店都不知道。所以衛生部的員工很難接受到協助,危險的。
transcript.whisperx[36].start 771.704
transcript.whisperx[36].end 801.044
transcript.whisperx[36].text 我現在司法法制委員會的時候,我追了這個事情兩年,上次總統府、下次委員還有各部會,包含現在在審預算過程裡面,我都會細看員工協助方案裡面到底怎樣去編列預算,那過去連預算科目都顯示不出來,那有的部會有預算科目顯示出來之後,編的機會少之又少,所以如何去協助這個員工,我就覺得很莫名其妙。員工發生事情我們是要接住,我們不是事後才在處理嘛,對不對?好,那你們要不要看一下你們怎麼編的?
transcript.whisperx[37].start 801.664
transcript.whisperx[37].end 801.903
transcript.whisperx[37].text 擬具 «人工生殖法部分條文修正草案》案。
transcript.whisperx[38].start 803.099
transcript.whisperx[38].end 823.483
transcript.whisperx[38].text 這個審預算的時候,我絕對會再問部長,然後也會問你們所屬的相關的機關,你們到底怎麼面對你們自己的同仁。你看下一頁。第二部是738,我不講那個預算跟實際的原理了,就直接講這樣的一個目前調查出來的。那738裡面員工生殖法部分條文是52,等於700人,700人一個人。社交屬159,12萬,也是700多。國界屬185,11萬,600人一個。食藥屬64,15萬,240。
transcript.whisperx[39].start 832.645
transcript.whisperx[39].end 849.613
transcript.whisperx[39].text 檢管署一、三、四建保署2842位才編16萬等於57元一個人。博士你怎麼看?這樣好不好?感到?這個應該要加強。應該要加強。對啊你們預算都抽編了啊。預算都編了。現在是預算案。
transcript.whisperx[40].start 858.962
transcript.whisperx[40].end 879.331
transcript.whisperx[40].text 這個我在你三位當部長之前我已經也提醒過衛生部、勞動部相關的部位我幾乎每一個部位我都有特別點到啦齁。那個到今天為止還是這個樣子。所以今天我們當覺得我們相關單位一直出現的這個霸凌的狀況,這其實裡面有工作適應、人際婚姻、家庭照顧、健康、法律等。
transcript.whisperx[41].start 880.848
transcript.whisperx[41].end 885.429
transcript.whisperx[41].text 擬具:「人工生殖法部分條文修正草案案案案案案案案案案案案案案案案案案案
transcript.whisperx[42].start 909.332
transcript.whisperx[42].end 920.082
transcript.whisperx[42].text 委員林宜瑾等19人擬具:「人工生殖法部分條文修正草案 案 案 、委員林宜瑾等19人擬具:「人工生殖法部分條文修正草案 案 、委員林宜瑾等19人擬具:「人工生殖法部分條文修正草案 、委員林宜瑾等19人擬具:「人工生殖法部分條文修正草案 、委員林宜瑾等19人擬具:「人工生殖法部分條文修正草案 、委員林宜瑾等19人擬具:「人工生殖法部分條文修正草案 、委員林宜瑾等19人擬具:「人工生殖法部分條文修正草案 、委
transcript.whisperx[43].start 924.884
transcript.whisperx[43].end 939.655
transcript.whisperx[43].text 擬具:「人工生殖法部分條文修正草案案 案 人工生殖法部分條文修正草案 案 人工生殖法部分條文修正草案 案 人工生殖法部分條文修正草案 案 人工生殖法部分條文修正草案 案
transcript.whisperx[44].start 947.421
transcript.whisperx[44].end 949.482
transcript.whisperx[44].text 三、委員林宜瑾等19人擬具 «人工生殖法部分條文修正草案案案件》案
transcript.whisperx[45].start 965.528
transcript.whisperx[45].end 969.111
transcript.whisperx[45].text 立法院第11屆第2會期社會福利及衛生環境、司法及法制委員陳菁徽等21人擬具:「人工生殖法部分條文修正草案案。」案。
transcript.whisperx[46].start 988.206
transcript.whisperx[46].end 1000.96
transcript.whisperx[46].text 你們看一下啦齁,你們回去看怎麼如果做因應了。但是最後一個表格,又更奇怪。如果現在大家在面對這種霸凌的事件,院長也都交代一個星期內必須調查清楚。你們怎麼會人員異動在國會聯絡組,後面是寫零。
transcript.whisperx[47].start 1004.003
transcript.whisperx[47].end 1027.471
transcript.whisperx[47].text 來,委員我簡單的報告齁,這個部分是有一個是那個屬於編制內,有一個編制內的,編制內部分我們確實是0沒錯,但是另外還有另外一個是因為我們有跟國會組這邊有跟衣服會那邊有請求他們來支援,他們那邊是,我沒有記錯的話應該是有兩位,所以如果要救這個部分,編制內的回答是沒錯,這樣。
transcript.whisperx[48].start 1029.781
transcript.whisperx[48].end 1046.334
transcript.whisperx[48].text 所以我如果要看你的表要問清楚,不然我也會錯意嘛。沒關係,那個委員我後續,後續我…沒有,你這樣說我沒有主意把這個主意拿起來問,這樣我不對耶。沒有啦,不是啦。我們要檢討啦。沒有沒有,委員是我們自己啦,我們自己啦。沒有沒有,你這個所謂到底是幾個單位是存你講的這個經營。
transcript.whisperx[49].start 1049.758
transcript.whisperx[49].end 1064.143
transcript.whisperx[49].text 你發展到証券中心也是零,很多地方都零就對了,所以我是覺得你要這樣搞倒不可能你要卸疑。市長,不知道你的批壓,你還給我印這樣。如果你那個數據是你們自己裡面在搞彌補,那這樣就不好了。請部長、請市長對這件事情多加注意,看怎樣積極回應,謝謝。