video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/66a8e59aed318d21ee66370512694fffa99904554a4baaac06b08ba57c1938fd50b48a977d456e315ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
吳思瑤 |
委員發言時間 |
12:02:34 - 12:14:13 |
影片長度 |
699 |
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_00 |
transcript.pyannote[0].start |
6.17346875 |
transcript.pyannote[0].end |
7.86096875 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
13.63221875 |
transcript.pyannote[1].end |
14.18909375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
14.23971875 |
transcript.pyannote[2].end |
15.35346875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
16.01159375 |
transcript.pyannote[3].end |
17.44596875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
17.68221875 |
transcript.pyannote[4].end |
22.00221875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
22.89659375 |
transcript.pyannote[5].end |
28.98846875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
29.39346875 |
transcript.pyannote[6].end |
34.03409375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
34.70909375 |
transcript.pyannote[7].end |
36.27846875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
36.61596875 |
transcript.pyannote[8].end |
38.03346875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
38.94471875 |
transcript.pyannote[9].end |
61.03409375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
64.03784375 |
transcript.pyannote[10].end |
87.27471875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
79.00596875 |
transcript.pyannote[11].end |
81.28409375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
90.04221875 |
transcript.pyannote[12].end |
90.61596875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
92.89409375 |
transcript.pyannote[13].end |
93.60284375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
95.27346875 |
transcript.pyannote[14].end |
98.10846875 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
98.32784375 |
transcript.pyannote[15].end |
105.14534375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
105.87096875 |
transcript.pyannote[16].end |
107.10284375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
107.17034375 |
transcript.pyannote[17].end |
110.98409375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
111.37221875 |
transcript.pyannote[18].end |
114.52784375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
115.28721875 |
transcript.pyannote[19].end |
116.23221875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
116.55284375 |
transcript.pyannote[20].end |
117.64971875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
118.29096875 |
transcript.pyannote[21].end |
119.89409375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
120.45096875 |
transcript.pyannote[22].end |
123.25221875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
123.87659375 |
transcript.pyannote[23].end |
131.13284375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
131.14971875 |
transcript.pyannote[24].end |
133.78221875 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
134.38971875 |
transcript.pyannote[25].end |
135.21659375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
136.11096875 |
transcript.pyannote[26].end |
137.44409375 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
138.62534375 |
transcript.pyannote[27].end |
139.45221875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
140.44784375 |
transcript.pyannote[28].end |
143.60346875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
144.73409375 |
transcript.pyannote[29].end |
147.55221875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
148.37909375 |
transcript.pyannote[30].end |
150.21846875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
150.91034375 |
transcript.pyannote[31].end |
152.10846875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
152.69909375 |
transcript.pyannote[32].end |
153.72846875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
154.82534375 |
transcript.pyannote[33].end |
155.97284375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
156.58034375 |
transcript.pyannote[34].end |
157.12034375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
157.82909375 |
transcript.pyannote[35].end |
160.36034375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
161.28846875 |
transcript.pyannote[36].end |
163.29659375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
163.83659375 |
transcript.pyannote[37].end |
165.50721875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
166.51971875 |
transcript.pyannote[38].end |
179.80034375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
181.11659375 |
transcript.pyannote[39].end |
182.44971875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
183.00659375 |
transcript.pyannote[40].end |
190.04346875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
190.75221875 |
transcript.pyannote[41].end |
197.77221875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
198.17721875 |
transcript.pyannote[42].end |
202.05846875 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
202.75034375 |
transcript.pyannote[43].end |
206.98596875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
207.52596875 |
transcript.pyannote[44].end |
210.58034375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
211.13721875 |
transcript.pyannote[45].end |
213.06096875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
213.71909375 |
transcript.pyannote[46].end |
214.66409375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
215.13659375 |
transcript.pyannote[47].end |
225.97034375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
225.97034375 |
transcript.pyannote[48].end |
226.81409375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
227.74221875 |
transcript.pyannote[49].end |
228.58596875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
229.22721875 |
transcript.pyannote[50].end |
236.14596875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
236.65221875 |
transcript.pyannote[51].end |
239.09909375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
239.97659375 |
transcript.pyannote[52].end |
244.33034375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
245.41034375 |
transcript.pyannote[53].end |
246.37221875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
247.75596875 |
transcript.pyannote[54].end |
249.98346875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
251.11409375 |
transcript.pyannote[55].end |
254.65784375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
257.08784375 |
transcript.pyannote[56].end |
263.19659375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
264.17534375 |
transcript.pyannote[57].end |
270.87471875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
271.78596875 |
transcript.pyannote[58].end |
274.21596875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
274.65471875 |
transcript.pyannote[59].end |
278.14784375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
278.43471875 |
transcript.pyannote[60].end |
287.61471875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
287.85096875 |
transcript.pyannote[61].end |
292.35659375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
293.57159375 |
transcript.pyannote[62].end |
294.28034375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
294.82034375 |
transcript.pyannote[63].end |
296.11971875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
296.47409375 |
transcript.pyannote[64].end |
298.70159375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
299.29221875 |
transcript.pyannote[65].end |
305.14784375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
305.50221875 |
transcript.pyannote[66].end |
310.48034375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
311.07096875 |
transcript.pyannote[67].end |
317.11221875 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
317.98971875 |
transcript.pyannote[68].end |
324.87471875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
325.41471875 |
transcript.pyannote[69].end |
326.46096875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
327.62534375 |
transcript.pyannote[70].end |
330.79784375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
331.27034375 |
transcript.pyannote[71].end |
333.58221875 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
334.30784375 |
transcript.pyannote[72].end |
341.17596875 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
341.91846875 |
transcript.pyannote[73].end |
345.19221875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
345.81659375 |
transcript.pyannote[74].end |
346.67721875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
346.89659375 |
transcript.pyannote[75].end |
358.03409375 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
359.87346875 |
transcript.pyannote[76].end |
360.75096875 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
361.12221875 |
transcript.pyannote[77].end |
362.99534375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
363.65346875 |
transcript.pyannote[78].end |
367.75409375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
368.05784375 |
transcript.pyannote[79].end |
369.57659375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
369.89721875 |
transcript.pyannote[80].end |
388.03784375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
388.98284375 |
transcript.pyannote[81].end |
398.23034375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
399.17534375 |
transcript.pyannote[82].end |
404.42346875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
405.01409375 |
transcript.pyannote[83].end |
406.24596875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
406.73534375 |
transcript.pyannote[84].end |
407.62971875 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
408.22034375 |
transcript.pyannote[85].end |
409.03034375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
409.35096875 |
transcript.pyannote[86].end |
422.88471875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
423.23909375 |
transcript.pyannote[87].end |
425.44971875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
426.17534375 |
transcript.pyannote[88].end |
428.28471875 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
428.80784375 |
transcript.pyannote[89].end |
432.31784375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
433.31346875 |
transcript.pyannote[90].end |
434.25846875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
434.86596875 |
transcript.pyannote[91].end |
436.33409375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
436.82346875 |
transcript.pyannote[92].end |
437.41409375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
438.00471875 |
transcript.pyannote[93].end |
440.83971875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
441.31221875 |
transcript.pyannote[94].end |
441.97034375 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
441.97034375 |
transcript.pyannote[95].end |
442.96596875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
442.96596875 |
transcript.pyannote[96].end |
442.98284375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
443.18534375 |
transcript.pyannote[97].end |
444.07971875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
444.50159375 |
transcript.pyannote[98].end |
445.12596875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
446.00346875 |
transcript.pyannote[99].end |
447.31971875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
447.89346875 |
transcript.pyannote[100].end |
454.54221875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
455.03159375 |
transcript.pyannote[101].end |
463.01346875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
464.39721875 |
transcript.pyannote[102].end |
465.56159375 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
465.83159375 |
transcript.pyannote[103].end |
469.05471875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
469.89846875 |
transcript.pyannote[104].end |
472.36221875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
472.83471875 |
transcript.pyannote[105].end |
474.91034375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
475.06221875 |
transcript.pyannote[106].end |
477.13784375 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
477.27284375 |
transcript.pyannote[107].end |
479.17971875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
479.56784375 |
transcript.pyannote[108].end |
485.99721875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
486.18284375 |
transcript.pyannote[109].end |
502.68659375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
502.75409375 |
transcript.pyannote[110].end |
508.32284375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
508.60971875 |
transcript.pyannote[111].end |
512.03534375 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
512.44034375 |
transcript.pyannote[112].end |
522.46409375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
522.95346875 |
transcript.pyannote[113].end |
524.99534375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
526.14284375 |
transcript.pyannote[114].end |
529.72034375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
530.24346875 |
transcript.pyannote[115].end |
531.23909375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
532.01534375 |
transcript.pyannote[116].end |
532.50471875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
533.53409375 |
transcript.pyannote[117].end |
538.52909375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
539.79471875 |
transcript.pyannote[118].end |
542.05596875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
542.25846875 |
transcript.pyannote[119].end |
543.01784375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
543.70971875 |
transcript.pyannote[120].end |
551.64096875 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
552.18096875 |
transcript.pyannote[121].end |
568.02659375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
568.78596875 |
transcript.pyannote[122].end |
570.60846875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
571.31721875 |
transcript.pyannote[123].end |
573.37596875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
574.10159375 |
transcript.pyannote[124].end |
583.19721875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
584.15909375 |
transcript.pyannote[125].end |
594.03096875 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
594.23346875 |
transcript.pyannote[126].end |
596.49471875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
596.86596875 |
transcript.pyannote[127].end |
604.78034375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
605.79284375 |
transcript.pyannote[128].end |
619.49534375 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
620.67659375 |
transcript.pyannote[129].end |
627.69659375 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
628.20284375 |
transcript.pyannote[130].end |
633.95721875 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
634.71659375 |
transcript.pyannote[131].end |
636.84284375 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
637.38284375 |
transcript.pyannote[132].end |
639.62721875 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
641.66909375 |
transcript.pyannote[133].end |
643.37346875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
642.71534375 |
transcript.pyannote[134].end |
642.93471875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
644.01471875 |
transcript.pyannote[135].end |
644.94284375 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
645.71909375 |
transcript.pyannote[136].end |
646.78221875 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
647.20409375 |
transcript.pyannote[137].end |
648.01409375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
648.26721875 |
transcript.pyannote[138].end |
649.34721875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
649.98846875 |
transcript.pyannote[139].end |
655.21971875 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
655.64159375 |
transcript.pyannote[140].end |
657.34596875 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
657.78471875 |
transcript.pyannote[141].end |
659.05034375 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
660.13034375 |
transcript.pyannote[142].end |
660.77159375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
661.58159375 |
transcript.pyannote[143].end |
662.40846875 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
662.61096875 |
transcript.pyannote[144].end |
666.17159375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
666.55971875 |
transcript.pyannote[145].end |
668.24721875 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
668.33159375 |
transcript.pyannote[146].end |
674.23784375 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
674.94659375 |
transcript.pyannote[147].end |
675.55409375 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
675.90846875 |
transcript.pyannote[148].end |
677.39346875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
677.79846875 |
transcript.pyannote[149].end |
680.81909375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
681.30846875 |
transcript.pyannote[150].end |
685.13909375 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
685.42596875 |
transcript.pyannote[151].end |
694.79159375 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
696.00659375 |
transcript.pyannote[152].end |
698.43659375 |
transcript.whisperx[0].start |
6.189 |
transcript.whisperx[0].end |
8.03 |
transcript.whisperx[0].text |
謝謝主席,有請部長。委員好。大家辛苦喔。女人不是商品,所以我支持人工生殖法要跟代理孕母來脫鉤。那我剛剛很遺憾的聽到有之前的委員發言,他認為如果讓代孕另外脫鉤來處理,這是謝責。 |
transcript.whisperx[1].start |
34.778 |
transcript.whisperx[1].end |
60.64 |
transcript.whisperx[1].text |
我反而要說這是負責因為我們在討論的是攸關生命的議題攸關人權的議題攸關性別的議題不可不慎要讓有共識的先行社會沒有共識的我們應當嚴肅的來討論我首先讓大家看一段短短20秒的影片 |
transcript.whisperx[2].start |
64.209 |
transcript.whisperx[2].end |
90.367 |
transcript.whisperx[2].text |
擬具 «人工生殖法部分條文修正草案»案。netesley Chen等19人擬具、「人工生殖法部分條文修正草案»案。netesley Chen等19人擬具、「人工生殖法部分條文修正草案»案。נסley chen等19人擬具、「人工生殖法部分條文修正草案案。נסley chen等19人擬具:「人工生殖法部分條文修正草案案。נסley chen等19人擬具:「人工生殖法部分條文修正草案案。נסley chen等19人擬具:「人工生殖法部分條文修正草案案。נסley chen等19人擬具:「人工生殖法部分條文修正草案案。נסley chen等19 |
transcript.whisperx[3].start |
95.602 |
transcript.whisperx[3].end |
113.942 |
transcript.whisperx[3].text |
在這屆立委選舉的時候,非常遺憾,我的對手邀請了前我們的衛生署長楊志良先生來站台。站台居然就做了這樣非常失言的發言,他說:「臺灣女人三十歲以後的母老嬰兒 |
transcript.whisperx[4].start |
115.339 |
transcript.whisperx[4].end |
136.843 |
transcript.whisperx[4].text |
五、委員吳思瑤等50人擬具:「人工生殖法部分條文修正草案.事由、委員吳思瑤等19人擬具:「人工生殖法部分條文修正草案.事由、委員吳思瑤等19人擬具:「人工生殖法部分條文修正草案.事由、委員吳思瑤等19人擬具:「人工生殖法部分條文修正草案.事由、委員吳思瑤等19人擬具:「人工生殖法部分條文修正草案.事由、委員吳思瑤等19人擬具:「人工生殖法部分條文修正草案.事由、委員吳思瑤等19人擬 |
transcript.whisperx[5].start |
144.795 |
transcript.whisperx[5].end |
159.43 |
transcript.whisperx[5].text |
等19人擬具:「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 |
transcript.whisperx[6].start |
166.584 |
transcript.whisperx[6].end |
179.142 |
transcript.whisperx[6].text |
我反對這種殺蚊殺豬主義而今天我們討論的代孕制度事實上它的本質就是很多的楊智良們 |
transcript.whisperx[7].start |
181.138 |
transcript.whisperx[7].end |
183.519 |
transcript.whisperx[7].text |
擬具〈人工生殖法部分條文修正草案〉案 |
transcript.whisperx[8].start |
202.848 |
transcript.whisperx[8].end |
223.38 |
transcript.whisperx[8].text |
能不能夠脫鉤我們更正向的確保人權,確保性別不受歧視,這是核心的議題啊。所以部長,楊志良應該跟您也是前好朋友啦,大家都在衛生福利界。你認為他說:「無生小孩就無好,無私養絕子絕孫。」你認同這樣的想法嗎?當然不認同。 |
transcript.whisperx[9].start |
227.796 |
transcript.whisperx[9].end |
244.268 |
transcript.whisperx[9].text |
那我想我也很抱歉我剛剛在司法法治委員會我也透過直播看到了很抱歉喔主席你說一句話我也聽起來很痛你說代理孕母的議題是女人跟女人的戰爭是這樣嗎?No one is outsider他涉及生命、涉及人權、涉及家庭 |
transcript.whisperx[10].start |
257.17 |
transcript.whisperx[10].end |
269.623 |
transcript.whisperx[10].text |
No one is outsider,請不要製造性別的對立。我反對這種退步的、這種落伍的、這種歧視的觀點。 |
transcript.whisperx[11].start |
271.86 |
transcript.whisperx[11].end |
292.174 |
transcript.whisperx[11].text |
在這種觀點之下我很遺憾我認為在討論今天人工生殖法的課題恐怕都沒有辦法回到正向的討論首先我要挑戰討論這個議案的核心的那個性別歧視性別意識不足的問題要被打破下一頁 |
transcript.whisperx[12].start |
293.615 |
transcript.whisperx[12].end |
316.783 |
transcript.whisperx[12].text |
民意反對代孕所以不宜倉促的立法。我以最新一次針對這個主題的民調是彩虹平權大平台他們對於人工生殖及代孕做了民調70.7%支持人工生殖適用於單身女性 |
transcript.whisperx[13].start |
320.091 |
transcript.whisperx[13].end |
346.35 |
transcript.whisperx[13].text |
61.4%支持人工生殖應當優先適用於女女同志之間高達50.4%不支持現在讓代孕上路而衛福部你們所做的公告之後收到了600多則的意見嘛對不對部長當中有多少是反對代孕的也有八成 |
transcript.whisperx[14].start |
347.189 |
transcript.whisperx[14].end |
356.821 |
transcript.whisperx[14].text |
擬具:「人工生殖法部分條文宜瑾等19人擬具:「人工生殖法部分條文宜瑾等19人擬具:「人工生殖法部分條文宜瑾等19人擬具:「人工生殖法部分條文宜瑾等19人 |
transcript.whisperx[15].start |
360.392 |
transcript.whisperx[15].end |
387.807 |
transcript.whisperx[15].text |
這週二,NGO召開了記者會,代孕侵害人權,停止代孕立法。NGO站出來,在今天我們審查人工生殖法的此時此刻,也有一群公民朋友在立法院周遭集結緊急的來呼籲,捍衛女性的人權,反對代孕,這是民意。下一頁。 |
transcript.whisperx[16].start |
389.042 |
transcript.whisperx[16].end |
397.007 |
transcript.whisperx[16].text |
所以民進黨團我們這週召開了我們共同倡議的記者會人工生殖跟代理孕母要脫鉤 |
transcript.whisperx[17].start |
399.269 |
transcript.whisperx[17].end |
406.952 |
transcript.whisperx[17].text |
擬具:「人工生殖法部分條文修正草案案 案 條文修正草案 案 條文修正草案 案 條文修正草案 案 條文修正草案 案 條文修正草案 案 條文修正草案 案 |
transcript.whisperx[18].start |
426.241 |
transcript.whisperx[18].end |
444.93 |
transcript.whisperx[18].text |
然後我也要求討論人工生殖法一定要有院版您同意我的三大立場嗎部長脫鉤專法或是兩階段立法以及要有院版我想我們現在的立場就是這樣子好很好在下一頁 |
transcript.whisperx[19].start |
446.055 |
transcript.whisperx[19].end |
459.37 |
transcript.whisperx[19].text |
我也要挑戰嚴肅的生命議題請不要成為不同意見者的對立我非常遺憾藍白的在野黨的委員們透過謾罵、透過恐嚇、透過情樂 |
transcript.whisperx[20].start |
466.674 |
transcript.whisperx[20].end |
478.907 |
transcript.whisperx[20].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 條文修正草案 |
transcript.whisperx[21].start |
479.648 |
transcript.whisperx[21].end |
493.261 |
transcript.whisperx[21].text |
把這些爭取女性權益的夥伴們把他扭曲成為心理變態。這反而陳昭之委員如果要推人工生殖法可是很可惜正因為您這種非理性的胡亂的指涉反而讓這個議案的討論失焦了因為他製造了對立我覺得非常的可惜 |
transcript.whisperx[22].start |
502.89 |
transcript.whisperx[22].end |
524.04 |
transcript.whisperx[22].text |
同樣我們蘇委員身為醫師出身我也非常尊重您我是真的期待不應當因為黨團之間或是立委之間的立場不同您就說如果代孕不處理那人工生殖法會讓它繼續卡著我希望這是媒體報導的缺漏我希望它不是事實我最後來 |
transcript.whisperx[23].start |
533.584 |
transcript.whisperx[23].end |
535.71 |
transcript.whisperx[23].text |
很多問題應當要嚴肅討論,兒童的權益如何保障? |
transcript.whisperx[24].start |
539.827 |
transcript.whisperx[24].end |
546.908 |
transcript.whisperx[24].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[25].start |
568.817 |
transcript.whisperx[25].end |
582.846 |
transcript.whisperx[25].text |
很抱歉占用了一點點時間。12月3號就這兩天的新聞。非獄兵的女子遭到泰國仲介帶到柬埔寨去從事代孕而且有13個人被關進牢裡被判4年。 |
transcript.whisperx[26].start |
584.215 |
transcript.whisperx[26].end |
604.531 |
transcript.whisperx[26].text |
跨國仲介的人可以逃避刑責但是這些因為經濟弱勢他被仲介媒合成為代理孕母的人他菲律賓被帶到泰國去去泰國被泰國的仲介帶到柬埔寨去被關到牢裡的被入罪的是這些弱勢的代孕 |
transcript.whisperx[27].start |
605.854 |
transcript.whisperx[27].end |
618.759 |
transcript.whisperx[27].text |
所以歐洲議會在今年的4月就做出563比7的高票通過他們認為脅迫女性進行代孕是人口販運脅迫女性進行所謂利他行的代孕就是人口販運這是歐洲議會高票563比7通過的議案 |
transcript.whisperx[28].start |
634.758 |
transcript.whisperx[28].end |
663.369 |
transcript.whisperx[28].text |
部長您知道全世界第一個讓人工生殖法上路是哪個國家嗎?人工生殖法還是代理孕母?人工生殖法好我跟您報告是瑞典1984年1984年全球第一個讓人工生殖法上路的進步國家是瑞典但是瑞典迄今還反對代理孕母就是因為很多的人權議題 |
transcript.whisperx[29].start |
664.451 |
transcript.whisperx[29].end |
666.201 |
transcript.whisperx[29].text |
擬具〈人工生殖法部分條文修正草案〉案。 |
transcript.whisperx[30].start |
668.547 |
transcript.whisperx[30].end |
679.676 |
transcript.whisperx[30].text |
擬具:「人工生殖法部分條文修正草案 案 案 條文修正草案 案 條文修正草案 案 條文修正草案 案 條文修正草案 案 條文修正草案 案 條文修正草案 案 條文修正草案 案 |
transcript.whisperx[31].start |
696.455 |
transcript.whisperx[31].end |
698.125 |
transcript.whisperx[31].text |
謝謝五、委員。謝謝部長。 |
IVOD_ID |
157889 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/157889 |
日期 |
2024-12-05 |
影片種類 |
Clip |
開始時間 |
2024-12-05T12:02:34+08:00 |
結束時間 |
2024-12-05T12:14:13+08:00 |
支援功能[0] |
ai-transcript |