IVOD_ID |
157890 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/157890 |
日期 |
2024-12-05 |
影片種類 |
Clip |
開始時間 |
2024-12-05T12:14:20+08:00 |
結束時間 |
2024-12-05T12:25:40+08:00 |
影片長度 |
00:11:20 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/66a8e59aed318d218733435f777d178ba99904554a4baaac06b08ba57c1938fd7e402dd021e2a3415ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
黃國昌 |
委員發言時間 |
12:14:20 - 12:25:40 |
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_01 |
transcript.pyannote[0].start |
4.95846875 |
transcript.pyannote[0].end |
5.00909375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
8.48534375 |
transcript.pyannote[1].end |
10.30784375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
10.49346875 |
transcript.pyannote[2].end |
10.67909375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
15.82596875 |
transcript.pyannote[3].end |
16.38284375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
17.22659375 |
transcript.pyannote[4].end |
23.23409375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
23.68971875 |
transcript.pyannote[5].end |
28.33034375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
29.17409375 |
transcript.pyannote[6].end |
32.66721875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
33.88221875 |
transcript.pyannote[7].end |
34.64159375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
35.06346875 |
transcript.pyannote[8].end |
42.69096875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
42.97784375 |
transcript.pyannote[9].end |
47.73659375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
47.95596875 |
transcript.pyannote[10].end |
50.85846875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
51.43221875 |
transcript.pyannote[11].end |
55.43159375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
55.95471875 |
transcript.pyannote[12].end |
58.73909375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
60.17346875 |
transcript.pyannote[13].end |
61.10159375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
61.92846875 |
transcript.pyannote[14].end |
62.95784375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
63.59909375 |
transcript.pyannote[15].end |
64.03784375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
67.44659375 |
transcript.pyannote[16].end |
73.70721875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
74.88846875 |
transcript.pyannote[17].end |
78.76971875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
79.10721875 |
transcript.pyannote[18].end |
82.87034375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
83.59596875 |
transcript.pyannote[19].end |
84.72659375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
85.43534375 |
transcript.pyannote[20].end |
86.83596875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
87.12284375 |
transcript.pyannote[21].end |
89.72159375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
90.51471875 |
transcript.pyannote[22].end |
95.18909375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
95.81346875 |
transcript.pyannote[23].end |
96.55596875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
97.24784375 |
transcript.pyannote[24].end |
99.54284375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
100.09971875 |
transcript.pyannote[25].end |
101.88846875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
102.98534375 |
transcript.pyannote[26].end |
105.73596875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
106.54596875 |
transcript.pyannote[27].end |
107.27159375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
108.04784375 |
transcript.pyannote[28].end |
109.21221875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
109.60034375 |
transcript.pyannote[29].end |
111.74346875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
112.26659375 |
transcript.pyannote[30].end |
114.05534375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
114.59534375 |
transcript.pyannote[31].end |
115.97909375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
116.63721875 |
transcript.pyannote[32].end |
117.17721875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
117.53159375 |
transcript.pyannote[33].end |
119.48909375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
120.31596875 |
transcript.pyannote[34].end |
121.41284375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
122.03721875 |
transcript.pyannote[35].end |
122.69534375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
123.06659375 |
transcript.pyannote[36].end |
124.19721875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
124.70346875 |
transcript.pyannote[37].end |
130.40721875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
130.64346875 |
transcript.pyannote[38].end |
133.76534375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
134.22096875 |
transcript.pyannote[39].end |
140.78534375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
141.46034375 |
transcript.pyannote[40].end |
142.18596875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
142.79346875 |
transcript.pyannote[41].end |
147.28221875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
147.90659375 |
transcript.pyannote[42].end |
149.12159375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
149.59409375 |
transcript.pyannote[43].end |
152.34471875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
152.53034375 |
transcript.pyannote[44].end |
159.73596875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
159.98909375 |
transcript.pyannote[45].end |
165.70971875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
166.13159375 |
transcript.pyannote[46].end |
169.60784375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
170.89034375 |
transcript.pyannote[47].end |
174.87284375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
175.56471875 |
transcript.pyannote[48].end |
176.23971875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
176.96534375 |
transcript.pyannote[49].end |
177.62346875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
178.01159375 |
transcript.pyannote[50].end |
179.24346875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
179.90159375 |
transcript.pyannote[51].end |
181.87596875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
182.93909375 |
transcript.pyannote[52].end |
184.13721875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
185.06534375 |
transcript.pyannote[53].end |
186.01034375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
186.16221875 |
transcript.pyannote[54].end |
188.91284375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
189.55409375 |
transcript.pyannote[55].end |
191.54534375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
191.83221875 |
transcript.pyannote[56].end |
196.33784375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
196.91159375 |
transcript.pyannote[57].end |
202.32846875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
202.44659375 |
transcript.pyannote[58].end |
214.10721875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
215.86221875 |
transcript.pyannote[59].end |
219.84471875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
220.50284375 |
transcript.pyannote[60].end |
222.98346875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
223.82721875 |
transcript.pyannote[61].end |
226.66221875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
227.82659375 |
transcript.pyannote[62].end |
229.73346875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
230.25659375 |
transcript.pyannote[63].end |
231.57284375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
232.06221875 |
transcript.pyannote[64].end |
233.58096875 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
233.88471875 |
transcript.pyannote[65].end |
234.89721875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
235.53846875 |
transcript.pyannote[66].end |
236.90534375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
237.90096875 |
transcript.pyannote[67].end |
239.82471875 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
240.43221875 |
transcript.pyannote[68].end |
242.47409375 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
243.79034375 |
transcript.pyannote[69].end |
249.07221875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
249.42659375 |
transcript.pyannote[70].end |
250.52346875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
251.77221875 |
transcript.pyannote[71].end |
253.72971875 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
254.10096875 |
transcript.pyannote[72].end |
258.64034375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
260.02409375 |
transcript.pyannote[73].end |
260.68221875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
260.90159375 |
transcript.pyannote[74].end |
267.90471875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
269.17034375 |
transcript.pyannote[75].end |
272.03909375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
273.05159375 |
transcript.pyannote[76].end |
290.02784375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
290.02784375 |
transcript.pyannote[77].end |
290.58471875 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
290.58471875 |
transcript.pyannote[78].end |
290.60159375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
291.34409375 |
transcript.pyannote[79].end |
293.11596875 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
293.55471875 |
transcript.pyannote[80].end |
294.48284375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
295.14096875 |
transcript.pyannote[81].end |
297.60471875 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
298.39784375 |
transcript.pyannote[82].end |
304.47284375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
305.36721875 |
transcript.pyannote[83].end |
314.44596875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
315.18846875 |
transcript.pyannote[84].end |
317.26409375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
318.61409375 |
transcript.pyannote[85].end |
319.28909375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
320.14971875 |
transcript.pyannote[86].end |
334.81409375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
336.70409375 |
transcript.pyannote[87].end |
338.49284375 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
338.69534375 |
transcript.pyannote[88].end |
339.96096875 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
339.96096875 |
transcript.pyannote[89].end |
342.86346875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
343.47096875 |
transcript.pyannote[90].end |
344.85471875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
345.47909375 |
transcript.pyannote[91].end |
347.08221875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
348.75284375 |
transcript.pyannote[92].end |
348.76971875 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
348.76971875 |
transcript.pyannote[93].end |
353.78159375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
353.78159375 |
transcript.pyannote[94].end |
358.45596875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
358.77659375 |
transcript.pyannote[95].end |
360.59909375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
360.83534375 |
transcript.pyannote[96].end |
362.38784375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
363.55221875 |
transcript.pyannote[97].end |
368.90159375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
369.57659375 |
transcript.pyannote[98].end |
370.87596875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
371.09534375 |
transcript.pyannote[99].end |
374.57159375 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
374.97659375 |
transcript.pyannote[100].end |
378.31784375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
378.92534375 |
transcript.pyannote[101].end |
383.95409375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
384.37596875 |
transcript.pyannote[102].end |
385.82721875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
386.28284375 |
transcript.pyannote[103].end |
387.75096875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
388.02096875 |
transcript.pyannote[104].end |
392.42534375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
392.72909375 |
transcript.pyannote[105].end |
395.46284375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
396.28971875 |
transcript.pyannote[106].end |
398.21346875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
399.10784375 |
transcript.pyannote[107].end |
400.30596875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
401.53784375 |
transcript.pyannote[108].end |
403.81596875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
404.50784375 |
transcript.pyannote[109].end |
408.22034375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
408.70971875 |
transcript.pyannote[110].end |
415.17284375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
415.98284375 |
transcript.pyannote[111].end |
416.50596875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
417.13034375 |
transcript.pyannote[112].end |
417.97409375 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
417.97409375 |
transcript.pyannote[113].end |
418.24409375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
418.96971875 |
transcript.pyannote[114].end |
418.98659375 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
418.98659375 |
transcript.pyannote[115].end |
453.39471875 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
453.66471875 |
transcript.pyannote[116].end |
454.03596875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
454.03596875 |
transcript.pyannote[117].end |
455.82471875 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
455.82471875 |
transcript.pyannote[118].end |
455.85846875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
456.33096875 |
transcript.pyannote[119].end |
460.06034375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
460.51596875 |
transcript.pyannote[120].end |
464.43096875 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
463.03034375 |
transcript.pyannote[121].end |
463.35096875 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
463.82346875 |
transcript.pyannote[122].end |
463.95846875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
464.85284375 |
transcript.pyannote[123].end |
471.82221875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
472.15971875 |
transcript.pyannote[124].end |
482.16659375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
482.36909375 |
transcript.pyannote[125].end |
483.26346875 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
483.48284375 |
transcript.pyannote[126].end |
484.78221875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
485.25471875 |
transcript.pyannote[127].end |
491.38034375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
492.02159375 |
transcript.pyannote[128].end |
493.38846875 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
493.74284375 |
transcript.pyannote[129].end |
494.46846875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
494.99159375 |
transcript.pyannote[130].end |
496.20659375 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
496.81409375 |
transcript.pyannote[131].end |
498.72096875 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
499.48034375 |
transcript.pyannote[132].end |
514.56659375 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
514.71846875 |
transcript.pyannote[133].end |
523.07159375 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
523.27409375 |
transcript.pyannote[134].end |
528.35346875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
528.35346875 |
transcript.pyannote[135].end |
531.18846875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
531.61034375 |
transcript.pyannote[136].end |
533.33159375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
533.92221875 |
transcript.pyannote[137].end |
540.50346875 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
540.67221875 |
transcript.pyannote[138].end |
547.20284375 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
550.10534375 |
transcript.pyannote[139].end |
555.89346875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
550.13909375 |
transcript.pyannote[140].end |
550.27409375 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
555.89346875 |
transcript.pyannote[141].end |
556.18034375 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
556.18034375 |
transcript.pyannote[142].end |
560.73659375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
561.49596875 |
transcript.pyannote[143].end |
575.14784375 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
573.35909375 |
transcript.pyannote[144].end |
575.29971875 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
575.53596875 |
transcript.pyannote[145].end |
576.34596875 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
576.34596875 |
transcript.pyannote[146].end |
577.18971875 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
577.62846875 |
transcript.pyannote[147].end |
578.45534375 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
578.82659375 |
transcript.pyannote[148].end |
581.35784375 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
581.76284375 |
transcript.pyannote[149].end |
586.15034375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
586.80846875 |
transcript.pyannote[150].end |
587.78721875 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
588.31034375 |
transcript.pyannote[151].end |
592.27596875 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
592.32659375 |
transcript.pyannote[152].end |
594.52034375 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
594.75659375 |
transcript.pyannote[153].end |
595.97159375 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
595.97159375 |
transcript.pyannote[154].end |
617.89221875 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
616.33971875 |
transcript.pyannote[155].end |
616.81221875 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
617.89221875 |
transcript.pyannote[156].end |
625.41846875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
617.90909375 |
transcript.pyannote[157].end |
618.12846875 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
619.79909375 |
transcript.pyannote[158].end |
620.69346875 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
621.30096875 |
transcript.pyannote[159].end |
621.57096875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
623.03909375 |
transcript.pyannote[160].end |
623.44409375 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
624.43971875 |
transcript.pyannote[161].end |
625.36784375 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
626.54909375 |
transcript.pyannote[162].end |
629.51909375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
629.78909375 |
transcript.pyannote[163].end |
637.38284375 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
637.11284375 |
transcript.pyannote[164].end |
639.15471875 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
639.77909375 |
transcript.pyannote[165].end |
641.07846875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
642.24284375 |
transcript.pyannote[166].end |
646.95096875 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
647.01846875 |
transcript.pyannote[167].end |
654.35909375 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
654.78096875 |
transcript.pyannote[168].end |
656.83971875 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
657.44721875 |
transcript.pyannote[169].end |
657.97034375 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
657.58221875 |
transcript.pyannote[170].end |
657.91971875 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
657.97034375 |
transcript.pyannote[171].end |
658.00409375 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
658.00409375 |
transcript.pyannote[172].end |
658.03784375 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
658.03784375 |
transcript.pyannote[173].end |
660.34971875 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
659.18534375 |
transcript.pyannote[174].end |
661.80096875 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
662.02034375 |
transcript.pyannote[175].end |
665.09159375 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
665.09159375 |
transcript.pyannote[176].end |
665.24346875 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
665.24346875 |
transcript.pyannote[177].end |
670.44096875 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
665.63159375 |
transcript.pyannote[178].end |
665.95221875 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
670.44096875 |
transcript.pyannote[179].end |
672.46596875 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
672.70221875 |
transcript.pyannote[180].end |
674.79471875 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
674.79471875 |
transcript.pyannote[181].end |
674.81159375 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
675.03096875 |
transcript.pyannote[182].end |
676.90409375 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
677.73096875 |
transcript.pyannote[183].end |
679.48596875 |
transcript.whisperx[0].start |
8.95 |
transcript.whisperx[0].end |
30.19 |
transcript.whisperx[0].text |
來,謝謝主席,麻煩有請部長。委員好。部長好,我相信為了人工生殖法跟代理孕母這個嚴肅的課題,衛福部過去這段時間做了很多的研議跟努力。在面對這樣嚴肅的問題的時候,事實上, |
transcript.whisperx[1].start |
34.259 |
transcript.whisperx[1].end |
57.915 |
transcript.whisperx[1].text |
我認為任何一方都不應該幫另外一方可能不同觀點的人強加帽子這樣不好因為這樣子只會讓台灣社會更加的分裂沒有助於公共政策的討論我為什麼語重心長的用這樣子的方式來開場我先請教一下部長那個 |
transcript.whisperx[2].start |
61.994 |
transcript.whisperx[2].end |
88.39 |
transcript.whisperx[2].text |
我沒有辦法按嗎?Sorry不好意思部長請稍微等一下沒問題沒問題我為什麼這麼語重心長的開場我在回溯我們立法院我們的整個國家針對有關於人工生殖跟代理育母整個發展立法的推動公共政策討論的歷程當中 |
transcript.whisperx[3].start |
90.8 |
transcript.whisperx[3].end |
119.266 |
transcript.whisperx[3].text |
當初2002年提出人工生殖法草案認為應該要贊成代理孕母是基於人權保障的包括了我們現任的總統賴清德我相信賴清德總統當初在擔任立委的時候在人工生殖法裡面贊成代理孕母一定是本於良善的初衷 |
transcript.whisperx[4].start |
120.353 |
transcript.whisperx[4].end |
140.576 |
transcript.whisperx[4].text |
他絕對不是因為要去物化我們女性的朋友或者是要侵害我們女性的人權而提出這樣的法案部長你認同嗎?我認同你認同嗎?這是因為這個樣子啊所以我真的覺得在討論這個課題的時候我們大家就事論事 |
transcript.whisperx[5].start |
142.86 |
transcript.whisperx[5].end |
168.833 |
transcript.whisperx[5].text |
針對代理育母可能會產生不管是對於未來的子女還是代理育母還是有需要的婦女們彼此之間的利害關係怎麼樣好好的、審慎的去思考才是一個健康的態度也正是因為這個樣子部長您知不知道針對代理育母的議題我們國家舉辦過幾次大型的公民審議會議 |
transcript.whisperx[6].start |
171.863 |
transcript.whisperx[6].end |
193.661 |
transcript.whisperx[6].text |
據剛剛大家幾位委員的陳述大概有兩次一次是2004年一次是2012年這不是民意調查這是一個審議式的民主討論的會議兩次會議的結論基本上面都認為說我們應該有條件的開放 |
transcript.whisperx[7].start |
197.12 |
transcript.whisperx[7].end |
226.523 |
transcript.whisperx[7].text |
只是說我們在討論公共政策的時候我們要比較細緻的去討論在什麼樣的條件下適合在什麼樣的條件下可以充分的保障人權這才是討論公共政策應該要有的基本態度去年大選的時候台灣民眾黨的主席柯文哲在11月7號提出了政見他說代理育母要納入人工生殖法 |
transcript.whisperx[8].start |
228.021 |
transcript.whisperx[8].end |
250.279 |
transcript.whisperx[8].text |
這是我們台灣民眾黨的政見我們向來的習慣是我們開出了支票我們就會履行所以陳昭智委員他秉持他一貫的信念他也提出了修法的草案柯文哲主席在11月7號宣布了以後馬上看到11月8號我們衛福部 |
transcript.whisperx[9].start |
252.183 |
transcript.whisperx[9].end |
271.666 |
transcript.whisperx[9].text |
馬上緊跟著宣誓代理育母要納入人工生殖法的修法。部長,您認為前任的部長在去年宣誓說代理育母要納入人工生殖法的修法,他是在侵害我們女性的權益嗎? |
transcript.whisperx[10].start |
273.53 |
transcript.whisperx[10].end |
290.291 |
transcript.whisperx[10].text |
我想謝前部長是一個婦產科醫師也是一個很有愛心的醫師我相信他是站在怎麼樣來關心更多人民的心情來這樣的一個作為好,從去年 |
transcript.whisperx[11].start |
291.38 |
transcript.whisperx[11].end |
317.026 |
transcript.whisperx[11].text |
我們就延續到了今年嘛今年五月這個是由衛福部預告的草案這不是台灣民眾黨預告的草案我們的衛福部預告的草案說了什麼他說為了讓無子宮因子宮與免疫疾病導致懷孕或分娩將產生嚴重危害及生命安全的婦女以及我們同性婚姻的朋友們能夠 |
transcript.whisperx[12].start |
320.222 |
transcript.whisperx[12].end |
346.758 |
transcript.whisperx[12].text |
借由代孕生殖技術的協助達到生育子女的目的,保障他的家庭權,維護代理育母、代孕生殖子女及委託方三方的權益。這個是衛福部所公告的草案嗎?是,在5月14號公告的。衛福部當初在公告這個草案的時候,是為了要侵害我們女性朋友的權益嗎? |
transcript.whisperx[13].start |
348.906 |
transcript.whisperx[13].end |
361.854 |
transcript.whisperx[13].text |
當然不是這樣的目的啦是希望去解決去幫忙更多的因為我覺得齁在討論這麼嚴肅的公共政策的議題的時候我們在心態上面啊要趨於和緩 |
transcript.whisperx[14].start |
363.632 |
transcript.whisperx[14].end |
365.615 |
transcript.whisperx[14].text |
擬具:「人工生殖法部分條文修正草案.事由.審查�� |
transcript.whisperx[15].start |
378.991 |
transcript.whisperx[15].end |
400.055 |
transcript.whisperx[15].text |
我們整個歷程看下來整個社會都知道這是個嚴肅的問題我們要保護小孩子也要保護女性也要兼顧其他真的沒有辦法有生育能力的國人同胞大家共同的權益在這樣子的基礎上12月的時候 |
transcript.whisperx[16].start |
401.781 |
transcript.whisperx[16].end |
417.966 |
transcript.whisperx[16].text |
讓大家真的蠻詫異的我們的國建署署長早上才說沒有預設立場到了下午馬上改口說要脫鉤處理這個政策急轉彎的大轉折部長到底是怎麼回事 |
transcript.whisperx[17].start |
419.068 |
transcript.whisperx[17].end |
439.603 |
transcript.whisperx[17].text |
是的,我還是要跟委員報告,那個其實在公告預告以後就聽到很多當然反對的聲音,那所以我們在部裡面其實一直在研議,沒有說急轉彎,但是我們還是希望原來用公告的版一直討論,討論繼續討論,那到最後的確是發現 |
transcript.whisperx[18].start |
443.085 |
transcript.whisperx[18].end |
444.607 |
transcript.whisperx[18].text |
我聽到您的想法了啦那可是我也想利用這個質詢的機會 |
transcript.whisperx[19].start |
460.987 |
transcript.whisperx[19].end |
474.447 |
transcript.whisperx[19].text |
讓你聽聽另外一邊不同的想法因為也有長期在研究這個議題為了這個事情在努力大家都很尊敬的都很尊敬的在一屆這邊的研究同仁說 |
transcript.whisperx[20].start |
475.729 |
transcript.whisperx[20].end |
497.98 |
transcript.whisperx[20].text |
站在一屆的看法,事實上大家是希望說有好的配套措施以後能夠趕快進行,否則的話真的遙遙無期啊,不曉得要拖到什麼時候啊。我希望這一方的聲音衛福部也能夠聽到,不要有任何的預設立場。 |
transcript.whisperx[21].start |
500.08 |
transcript.whisperx[21].end |
524.993 |
transcript.whisperx[21].text |
因為陳美洲醫師是我的學生,我也了解他在不印證方面幫忙我,他是不印證醫學會的理事長。在不印證方面也幫我們在試管、嬰兒方面貢獻非常的多。當然在婦產科醫學會方面就有比較中立討論的聲音,所以我們都會聽所有的開放的 |
transcript.whisperx[22].start |
525.913 |
transcript.whisperx[22].end |
530.354 |
transcript.whisperx[22].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 |
transcript.whisperx[23].start |
550.371 |
transcript.whisperx[23].end |
560.445 |
transcript.whisperx[23].text |
這個都他說的啦我字都全部標起來了我不會去隨便捏造人家沒有說的話啦好沒有關係啦最後一點時間我提醒部長一件事喔 |
transcript.whisperx[24].start |
561.61 |
transcript.whisperx[24].end |
584.263 |
transcript.whisperx[24].text |
昨天我問你,針對有關於國外醫科牙醫學歷的採認,你在這邊承諾我會維持2017年最嚴格的標準,你還記得嗎?是的,絕對記得。但今天本土小牙醫聯盟又開記者會了,說你們現在的醫師法施行細則大開後門。 |
transcript.whisperx[25].start |
586.837 |
transcript.whisperx[25].end |
601.678 |
transcript.whisperx[25].text |
大開後門跟你當初所講的維持最嚴格的標準他們認為是一場騙局啊你有沒有什麼話想說?報告委員這個部分吼我們他的確在之前有這樣的疑惑也畫了很多重點 |
transcript.whisperx[26].start |
602.499 |
transcript.whisperx[26].end |
624.569 |
transcript.whisperx[26].text |
那我們有一次左院長請他們大家還有幾個代表到來談那當時有針對這個細則我想意思是有很做很詳細的一個跟他解釋那如果說未來還有真的覺得不放心的地方今天早上10點開記者會我從頭到尾都聽完了所以你講的是跟人家解釋的很清楚是發生在什麼時候 |
transcript.whisperx[27].start |
626.584 |
transcript.whisperx[27].end |
632.631 |
transcript.whisperx[27].text |
等19人擬具:「人工生殖法部分條文修正草案案 案件 等19人擬具:「人工生殖法部分條文修正草案 案件 等19人擬具 |
transcript.whisperx[28].start |
642.298 |
transcript.whisperx[28].end |
646.501 |
transcript.whisperx[28].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案 |
transcript.whisperx[29].start |
657.612 |
transcript.whisperx[29].end |
673.416 |
transcript.whisperx[29].text |
他們如果所提出來的質疑衛福部覺得有誤會的,就要去說明清楚。但是如果真的有問題的,恐怕衛福部也要重新的再斟酌啊。是的,沒問題,一定這樣做。OK,好,謝謝。好,謝委員。好,謝謝黃委員,謝謝部長。 |