video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/bbf526c2b86e6893fdff69d42471b12a83257d4eed3d4aeff09821e187a9f3e4141228277b1494e55ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
羅智強 |
委員發言時間 |
10:17:31 - 10:27:39 |
影片長度 |
608 |
會議時間 |
2024-12-02T09:00:00+08:00 |
會議名稱 |
第11屆第2會期第2次全院委員會「行使司法院院長、副院長及大法官同意權案」公聽會(事由:第11屆第2會期第2次全院委員會「行使司法院院長、副院長及大法官同意權案」公聽會) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
0.55409375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
1.38096875 |
transcript.pyannote[1].end |
2.17409375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
2.25846875 |
transcript.pyannote[2].end |
9.80159375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
10.93221875 |
transcript.pyannote[3].end |
14.20596875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
14.25659375 |
transcript.pyannote[4].end |
14.76284375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
15.21846875 |
transcript.pyannote[5].end |
16.34909375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
16.73721875 |
transcript.pyannote[6].end |
17.88471875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
18.25596875 |
transcript.pyannote[7].end |
20.68596875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
21.86721875 |
transcript.pyannote[8].end |
25.47846875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
26.98034375 |
transcript.pyannote[9].end |
29.37659375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
30.60846875 |
transcript.pyannote[10].end |
38.26971875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
38.86034375 |
transcript.pyannote[11].end |
41.32409375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
41.96534375 |
transcript.pyannote[12].end |
44.12534375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
44.73284375 |
transcript.pyannote[13].end |
46.03221875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
46.72409375 |
transcript.pyannote[14].end |
47.33159375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
47.44971875 |
transcript.pyannote[15].end |
48.69846875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
49.23846875 |
transcript.pyannote[16].end |
51.01034375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
52.10721875 |
transcript.pyannote[17].end |
56.07284375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
56.57909375 |
transcript.pyannote[18].end |
62.99159375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
64.39221875 |
transcript.pyannote[19].end |
65.89409375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
66.73784375 |
transcript.pyannote[20].end |
67.66596875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
68.66159375 |
transcript.pyannote[21].end |
69.70784375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
70.06221875 |
transcript.pyannote[22].end |
70.95659375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
71.34471875 |
transcript.pyannote[23].end |
72.37409375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
73.42034375 |
transcript.pyannote[24].end |
74.70284375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
75.58034375 |
transcript.pyannote[25].end |
76.82909375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
77.57159375 |
transcript.pyannote[26].end |
79.27596875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
79.69784375 |
transcript.pyannote[27].end |
80.62596875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
81.57096875 |
transcript.pyannote[28].end |
83.89971875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
84.94596875 |
transcript.pyannote[29].end |
85.94159375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
86.65034375 |
transcript.pyannote[30].end |
88.30409375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
88.84409375 |
transcript.pyannote[31].end |
91.62846875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
93.06284375 |
transcript.pyannote[32].end |
96.11721875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
96.72471875 |
transcript.pyannote[33].end |
99.44159375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
100.31909375 |
transcript.pyannote[34].end |
101.55096875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
102.64784375 |
transcript.pyannote[35].end |
104.74034375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
105.65159375 |
transcript.pyannote[36].end |
111.25409375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
112.09784375 |
transcript.pyannote[37].end |
113.32971875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
113.68409375 |
transcript.pyannote[38].end |
114.81471875 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
115.47284375 |
transcript.pyannote[39].end |
116.51909375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
118.54409375 |
transcript.pyannote[40].end |
119.20221875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
120.46784375 |
transcript.pyannote[41].end |
121.63221875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
121.86846875 |
transcript.pyannote[42].end |
126.07034375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
127.01534375 |
transcript.pyannote[43].end |
128.46659375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
129.54659375 |
transcript.pyannote[44].end |
133.47846875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
134.77784375 |
transcript.pyannote[45].end |
136.34721875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
137.24159375 |
transcript.pyannote[46].end |
141.84846875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
143.02971875 |
transcript.pyannote[47].end |
144.61596875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
145.37534375 |
transcript.pyannote[48].end |
147.53534375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
148.15971875 |
transcript.pyannote[49].end |
149.66159375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
150.03284375 |
transcript.pyannote[50].end |
151.99034375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
154.25159375 |
transcript.pyannote[51].end |
155.95596875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
157.18784375 |
transcript.pyannote[52].end |
159.88784375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
160.37721875 |
transcript.pyannote[53].end |
161.30534375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
161.59221875 |
transcript.pyannote[54].end |
163.09409375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
164.14034375 |
transcript.pyannote[55].end |
165.52409375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
165.91221875 |
transcript.pyannote[56].end |
168.54471875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
169.54034375 |
transcript.pyannote[57].end |
170.62034375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
171.63284375 |
transcript.pyannote[58].end |
174.48471875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
175.12596875 |
transcript.pyannote[59].end |
181.01534375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
181.63971875 |
transcript.pyannote[60].end |
186.26346875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
187.30971875 |
transcript.pyannote[61].end |
190.51596875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
191.68034375 |
transcript.pyannote[62].end |
193.84034375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
194.85284375 |
transcript.pyannote[63].end |
197.43471875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
198.56534375 |
transcript.pyannote[64].end |
201.23159375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
201.73784375 |
transcript.pyannote[65].end |
204.87659375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
206.61471875 |
transcript.pyannote[66].end |
208.62284375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
209.60159375 |
transcript.pyannote[67].end |
211.76159375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
212.75721875 |
transcript.pyannote[68].end |
214.27596875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
214.83284375 |
transcript.pyannote[69].end |
215.72721875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
216.43596875 |
transcript.pyannote[70].end |
217.60034375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
219.22034375 |
transcript.pyannote[71].end |
220.60409375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
221.26221875 |
transcript.pyannote[72].end |
222.00471875 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
222.69659375 |
transcript.pyannote[73].end |
225.16034375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
225.83534375 |
transcript.pyannote[74].end |
227.26971875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
229.22721875 |
transcript.pyannote[75].end |
230.81346875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
231.77534375 |
transcript.pyannote[76].end |
234.34034375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
235.04909375 |
transcript.pyannote[77].end |
238.20471875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
239.97659375 |
transcript.pyannote[78].end |
241.46159375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
242.71034375 |
transcript.pyannote[79].end |
244.22909375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
245.91659375 |
transcript.pyannote[80].end |
247.23284375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
248.44784375 |
transcript.pyannote[81].end |
249.81471875 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
250.82721875 |
transcript.pyannote[82].end |
251.41784375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
252.00846875 |
transcript.pyannote[83].end |
253.71284375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
253.96596875 |
transcript.pyannote[84].end |
255.29909375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
255.94034375 |
transcript.pyannote[85].end |
256.44659375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
257.12159375 |
transcript.pyannote[86].end |
258.06659375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
258.91034375 |
transcript.pyannote[87].end |
261.49221875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
262.77471875 |
transcript.pyannote[88].end |
263.66909375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
264.49596875 |
transcript.pyannote[89].end |
266.58846875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
267.41534375 |
transcript.pyannote[90].end |
268.86659375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
270.50346875 |
transcript.pyannote[91].end |
274.85721875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
275.43096875 |
transcript.pyannote[92].end |
276.57846875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
277.84409375 |
transcript.pyannote[93].end |
279.64971875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
281.47221875 |
transcript.pyannote[94].end |
283.37909375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
285.13409375 |
transcript.pyannote[95].end |
290.09534375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
291.19221875 |
transcript.pyannote[96].end |
293.20034375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
294.22971875 |
transcript.pyannote[97].end |
297.40221875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
298.12784375 |
transcript.pyannote[98].end |
299.02221875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
299.74784375 |
transcript.pyannote[99].end |
300.59159375 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
301.73909375 |
transcript.pyannote[100].end |
302.92034375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
304.62471875 |
transcript.pyannote[101].end |
305.87346875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
307.18971875 |
transcript.pyannote[102].end |
312.53909375 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
314.41221875 |
transcript.pyannote[103].end |
314.96909375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
315.71159375 |
transcript.pyannote[104].end |
339.48846875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
340.80471875 |
transcript.pyannote[105].end |
351.18284375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
351.85784375 |
transcript.pyannote[106].end |
358.18596875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
358.69221875 |
transcript.pyannote[107].end |
360.93659375 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
364.02471875 |
transcript.pyannote[108].end |
367.87221875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
369.44159375 |
transcript.pyannote[109].end |
374.38596875 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
375.33096875 |
transcript.pyannote[110].end |
377.52471875 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
378.40221875 |
transcript.pyannote[111].end |
379.75221875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
382.41846875 |
transcript.pyannote[112].end |
383.41409375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
384.13971875 |
transcript.pyannote[113].end |
385.54034375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
386.36721875 |
transcript.pyannote[114].end |
391.95284375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
392.88096875 |
transcript.pyannote[115].end |
393.91034375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
394.65284375 |
transcript.pyannote[116].end |
396.99846875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
397.33596875 |
transcript.pyannote[117].end |
399.39471875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
401.97659375 |
transcript.pyannote[118].end |
403.71471875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
405.73971875 |
transcript.pyannote[119].end |
406.65096875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
406.66784375 |
transcript.pyannote[120].end |
407.59596875 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
408.25409375 |
transcript.pyannote[121].end |
411.84846875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
413.01284375 |
transcript.pyannote[122].end |
413.51909375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
414.75096875 |
transcript.pyannote[123].end |
415.52721875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
415.66221875 |
transcript.pyannote[124].end |
418.26096875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
419.39159375 |
transcript.pyannote[125].end |
420.28596875 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
420.57284375 |
transcript.pyannote[126].end |
421.07909375 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
423.00284375 |
transcript.pyannote[127].end |
425.14596875 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
426.61409375 |
transcript.pyannote[128].end |
429.56721875 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
431.15346875 |
transcript.pyannote[129].end |
433.61721875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
436.23284375 |
transcript.pyannote[130].end |
438.86534375 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
439.42221875 |
transcript.pyannote[131].end |
440.68784375 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
441.85221875 |
transcript.pyannote[132].end |
443.40471875 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
445.24409375 |
transcript.pyannote[133].end |
446.23971875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
446.35784375 |
transcript.pyannote[134].end |
446.93159375 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
447.82596875 |
transcript.pyannote[135].end |
450.18846875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
451.28534375 |
transcript.pyannote[136].end |
452.48346875 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
453.51284375 |
transcript.pyannote[137].end |
458.62596875 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
458.81159375 |
transcript.pyannote[138].end |
471.38346875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
472.05846875 |
transcript.pyannote[139].end |
477.03659375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
477.18846875 |
transcript.pyannote[140].end |
480.86721875 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
481.64346875 |
transcript.pyannote[141].end |
483.31409375 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
484.30971875 |
transcript.pyannote[142].end |
490.82346875 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
492.35909375 |
transcript.pyannote[143].end |
493.65846875 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
494.83971875 |
transcript.pyannote[144].end |
498.63659375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
499.00784375 |
transcript.pyannote[145].end |
502.45034375 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
503.24346875 |
transcript.pyannote[146].end |
510.80346875 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
511.46159375 |
transcript.pyannote[147].end |
512.86221875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
513.70596875 |
transcript.pyannote[148].end |
515.46096875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
516.74346875 |
transcript.pyannote[149].end |
519.00471875 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
519.74721875 |
transcript.pyannote[150].end |
521.08034375 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
521.99159375 |
transcript.pyannote[151].end |
522.93659375 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
524.06721875 |
transcript.pyannote[152].end |
525.41721875 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
526.12596875 |
transcript.pyannote[153].end |
527.08784375 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
527.84721875 |
transcript.pyannote[154].end |
529.07909375 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
529.23096875 |
transcript.pyannote[155].end |
530.34471875 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
534.47909375 |
transcript.pyannote[156].end |
535.10346875 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
536.57159375 |
transcript.pyannote[157].end |
537.09471875 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
537.49971875 |
transcript.pyannote[158].end |
539.35596875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
540.16596875 |
transcript.pyannote[159].end |
541.22909375 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
541.54971875 |
transcript.pyannote[160].end |
543.23721875 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
544.73909375 |
transcript.pyannote[161].end |
549.70034375 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
550.88159375 |
transcript.pyannote[162].end |
552.60284375 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
553.27784375 |
transcript.pyannote[163].end |
555.60659375 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
556.93971875 |
transcript.pyannote[164].end |
561.05721875 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
561.79971875 |
transcript.pyannote[165].end |
576.78471875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
577.94909375 |
transcript.pyannote[166].end |
580.78409375 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
581.86409375 |
transcript.pyannote[167].end |
586.65659375 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
587.09534375 |
transcript.pyannote[168].end |
589.35659375 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
590.85846875 |
transcript.pyannote[169].end |
592.30971875 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
592.81596875 |
transcript.pyannote[170].end |
594.03096875 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
595.71846875 |
transcript.pyannote[171].end |
606.88971875 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
607.54784375 |
transcript.pyannote[172].end |
607.96971875 |
transcript.whisperx[0].start |
1.43 |
transcript.whisperx[0].end |
28.869 |
transcript.whisperx[0].text |
院長還有我們所有的學者專家我們立法院的同仁還有各位媒體大家好我非常喜歡東野歸吾的小說人性的善人性的惡在他的筆下寫的淋漓盡致我尤其印象深刻是他寫了一本小說叫做惡意故事的情節非常的驚悚 |
transcript.whisperx[1].start |
30.84 |
transcript.whisperx[1].end |
55.767 |
transcript.whisperx[1].text |
東野歸吾在惡意這本小說裡面描寫惡人的惡意那種讓人不寒而慄的恐怖我到現在也是印象猶新我相信那種讓人不寒而慄的惡意的恐怖對面我們的張教授你一定也能夠感同身受因為這些就現實的發生在很多受害者身上 |
transcript.whisperx[2].start |
56.916 |
transcript.whisperx[2].end |
82.605 |
transcript.whisperx[2].text |
讓受害者家屬感受到這些惡人們讓人不寒而慄的惡意這世界上有好人但也有壞人有一種壞人他殺人可能是因為嫉妒可能是因為仇恨可能是因為貪婪但也可能根本沒有理由完全沒有理由就是出於單純的惡意 |
transcript.whisperx[3].start |
84.977 |
transcript.whisperx[3].end |
104.414 |
transcript.whisperx[3].text |
他想殺人他不把別人的命當命甚至他覺得殺人只是一種樂趣而已當我們的司法宮殿的最後那個王座成為這種惡意的保護者的時候我要問大家我們所有善良守法的人 |
transcript.whisperx[4].start |
105.714 |
transcript.whisperx[4].end |
133.312 |
transcript.whisperx[4].text |
我們兢兢業業在崗位上我們照顧我們家人承擔我們的責任保護我們愛人的普通的老百姓我們要靠誰來保護很遺憾我們的大法官就是把自己當作那司法王座上的王他用自己的價值強壓被惡人剝奪生命的被害人 |
transcript.whisperx[5].start |
134.807 |
transcript.whisperx[5].end |
162.876 |
transcript.whisperx[5].text |
他用自己的價值強壓被害者家屬流不盡的淚水他用自己的價值強壓全台灣超過八成反對廢除死刑的民意就在今年的9月20號大法官做出了實質廢死的判決我剛剛聽到林滕耀教授說的 |
transcript.whisperx[6].start |
164.192 |
transcript.whisperx[6].end |
189.827 |
transcript.whisperx[6].text |
其實大法官就成了民進黨廢死的巧門我要跟各位說主張廢死不能說完全沒有道理但是民進黨既然你的黨綱支持廢除死刑你就勇敢的在立法院提案透過立法來宣示你今天廢死的意志結果你不以此為由不以此為盡 |
transcript.whisperx[7].start |
191.738 |
transcript.whisperx[7].end |
219.854 |
transcript.whisperx[7].text |
你最後找了黨議的大法官繞過民意 繞過立法然後用少數大法官的意志來去做出了實質廢死的判決而這個實質廢死的判決一出來 真的一出來我印象中大概一個禮拜吧非常快啊影響就出現了第一個保護 |
transcript.whisperx[8].start |
221.294 |
transcript.whisperx[8].end |
249.523 |
transcript.whisperx[8].text |
的就是虐殺張教授妻子的這個流行凶犯我們的大法官的保護傘第一個保護的就是虐殺女教師的流行凶犯明天是12月3號是讓我們覺得非常悲痛的日子明天12月3號反對廢除死刑 |
transcript.whisperx[9].start |
250.865 |
transcript.whisperx[9].end |
279.444 |
transcript.whisperx[9].text |
今天不捨女教師就這樣被殺害的民眾我們在明天就要走上街頭明天下午走上街頭十年前這一位一生奉獻教育受到學生肯定有關心愛護她的家人也有她愛護關心的家人的這位女老師她不過就是到市場去買菜 |
transcript.whisperx[10].start |
281.496 |
transcript.whisperx[10].end |
302.72 |
transcript.whisperx[10].text |
就遭遇飛來橫禍劉姓兇犯是隨機挑上這個奉公手法的女老師用鐵鎚重擊她很多殘忍的細節我真的我也說不出口我說不出口非常殘忍虐殺了女老師立審法院 |
transcript.whisperx[11].start |
307.213 |
transcript.whisperx[11].end |
312.422 |
transcript.whisperx[11].text |
都認為這個兇手 泯滅人性毫無教化可能 五度判死 |
transcript.whisperx[12].start |
314.651 |
transcript.whisperx[12].end |
339.161 |
transcript.whisperx[12].text |
結果大法官實質廢死宣判出來之後我們的最高法院是非常誠實的他直接對外說明為什麼今天五度判死可以改判免死為什麼最高法院直接告訴我們他是秉照大法官最新的憲法判決意思保護這位加害人 |
transcript.whisperx[13].start |
340.848 |
transcript.whisperx[13].end |
360.763 |
transcript.whisperx[13].text |
民進黨還跟我講沒有實質廢死大法官憲判沒有實質廢死最高法院直接跟我講這五度判死的兇犯最高法院就是用大法官憲法判決的意思直接宣布他免死確判你還跟我講沒有實質廢死大法官成為惡徒惡人的救星啊 |
transcript.whisperx[14].start |
369.482 |
transcript.whisperx[14].end |
393.622 |
transcript.whisperx[14].text |
而我們一輩子坐於英才的女老師拿到獅奪獎的女老師她的冤屈從此埋於地下再也不能昭雪她的家屬就像張老師說的要被判一輩子的無期徒刑被判一輩子無期徒刑是受害者的家屬她一輩子 |
transcript.whisperx[15].start |
394.687 |
transcript.whisperx[15].end |
421.048 |
transcript.whisperx[15].text |
都只能在暗夜裡流淚因為期盼不到正義你以為只有流性兇犯嗎沒多久,不久前一位縱火燒死七個人的真性兇犯一樣也說因為大法官做了實質廢死判決所以他也免死了,卻判了 |
transcript.whisperx[16].start |
423.032 |
transcript.whisperx[16].end |
452.031 |
transcript.whisperx[16].text |
他在法庭上怎麼說的大家知道嗎他說我燒死七個人我比鄭捷厲害我燒死七個人我比鄭捷厲害但按照大法官的憲法判決意志這麼厲害的人是被大法官保護的人我常在講今天主張廢除死刑的人都會講說那今天冤獄怎麼辦 |
transcript.whisperx[17].start |
453.564 |
transcript.whisperx[17].end |
470.576 |
transcript.whisperx[17].text |
我跟各位講現在刑事偵查的技術的進步幾乎已經讓冤獄是不可能發生我就直接問這些主張冤獄的人冤獄當然我們也反對主張冤獄的我要問你鄭捷是冤獄嗎所有攝影機都拍到他是冤獄嗎 |
transcript.whisperx[18].start |
472.15 |
transcript.whisperx[18].end |
490.69 |
transcript.whisperx[18].text |
今天這位真性兇犯說我殺了7個人比鄭潔厲害他是冤獄嗎今天虐殺女老師的流性兇犯他是冤獄嗎不要再拿冤獄當藉口過去刑事偵查的手段有非常多不吉之處現在時代不一樣各位不要忘啦 |
transcript.whisperx[19].start |
494.895 |
transcript.whisperx[19].end |
522.471 |
transcript.whisperx[19].text |
你以為只有到流性兇犯跟真性兇犯啊我們有37位死刑定驗的死刑犯我跟吳宗憲委員、翁小林委員我們在司法法院執訓多少次我告訴各位從來沒有一個官員敢告訴我說他們不會被放出來沒有一個官員敢保證大法官實質廢死判決之後第一個面對就是非常少數 |
transcript.whisperx[20].start |
524.09 |
transcript.whisperx[20].end |
529.513 |
transcript.whisperx[20].text |
然後可能就撤銷判決然後人可能就放出來了過去我們的大法官的實質廢實判決變成這些殺人犯的幫兇而未來的殺人犯也可以非常開心的告訴大家 |
transcript.whisperx[21].start |
550.916 |
transcript.whisperx[21].end |
576.491 |
transcript.whisperx[21].text |
我殺人不用擔心啊因為大法官就是我最強的後盾啊今天我們在這邊為什麼要進行人事同意的公聽會因為賴清德總統提名的七位大法官有六位主張廢除死刑我想請我們民進黨的朋友江心平請賴清德江心比心你叫我們立法院怎麼通過這六位主張廢除死刑的大法官提名啊 |
transcript.whisperx[22].start |
577.981 |
transcript.whisperx[22].end |
605.818 |
transcript.whisperx[22].text |
我怎麼通過 羅智強怎麼投得下這張票啊我投下這張票我對得起那些被害者跟被害者的家屬嗎我對得起台灣八成的民意嗎所以今天我們在這邊我要告訴大家大法官做實質廢死的判決對我們受害者對司法正義的踐踏我不容許 我不會背書這六位大法官繼續下去 謝謝 |
transcript.whisperx[23].start |
607.974 |
transcript.whisperx[23].end |
607.995 |
transcript.whisperx[23].text |
羅智強 |
IVOD_ID |
157712 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/157712 |
日期 |
2024-12-02 |
影片種類 |
Clip |
開始時間 |
2024-12-02T10:17:31+08:00 |
結束時間 |
2024-12-02T10:27:39+08:00 |
支援功能[0] |
ai-transcript |