IVOD_ID |
160538 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160538 |
日期 |
2025-04-23 |
會議資料.會議代碼 |
委員會-11-3-36-10 |
會議資料.會議代碼:str |
第11屆第3會期司法及法制委員會第10次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
10 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
36 |
會議資料.委員會代碼:str[0] |
司法及法制委員會 |
會議資料.標題 |
第11屆第3會期司法及法制委員會第10次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-04-23T11:52:30+08:00 |
結束時間 |
2025-04-23T12:06:15+08:00 |
影片長度 |
00:13:45 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/27ac2f54fdf75cc087fc9731d4b0794fa01776dcf2b4a8ffca7a32b531de3e80854671cd304e1f855ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
王鴻薇 |
委員發言時間 |
11:52:30 - 12:06:15 |
會議時間 |
2025-04-23T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期司法及法制委員會第10次全體委員會議(事由:邀請司法院副秘書長、法務部部長、銓敘部部長、法務部調查局局長、法務部廉政署署長、行政院人事行政總處、公務人員保障暨培訓委員會、內政部、中央選舉委員會、內政部警政署率所屬相關單位列席就「選舉罷免程序中,如何落實公務人員含政務官(人員)、司法人員、選務人員恪守行政中立,且秉持公正執法勿偏頗」進行專題報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
1.70159375 |
transcript.pyannote[0].end |
5.29596875 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
6.00471875 |
transcript.pyannote[1].end |
9.04221875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
11.79284375 |
transcript.pyannote[2].end |
12.67034375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
13.34534375 |
transcript.pyannote[3].end |
20.50034375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
20.56784375 |
transcript.pyannote[4].end |
24.73596875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
24.82034375 |
transcript.pyannote[5].end |
25.46159375 |
transcript.pyannote[6].speaker |
SPEAKER_02 |
transcript.pyannote[6].start |
25.46159375 |
transcript.pyannote[6].end |
26.11971875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
26.11971875 |
transcript.pyannote[7].end |
34.13534375 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
34.42221875 |
transcript.pyannote[8].end |
34.86096875 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
36.02534375 |
transcript.pyannote[9].end |
38.80971875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
38.25284375 |
transcript.pyannote[10].end |
40.98659375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
41.89784375 |
transcript.pyannote[11].end |
48.86721875 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
45.40784375 |
transcript.pyannote[12].end |
45.82971875 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
49.08659375 |
transcript.pyannote[13].end |
50.01471875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
50.09909375 |
transcript.pyannote[14].end |
55.02659375 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
55.97159375 |
transcript.pyannote[15].end |
55.98846875 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
56.54534375 |
transcript.pyannote[16].end |
58.31721875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
57.96284375 |
transcript.pyannote[17].end |
65.67471875 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
66.58596875 |
transcript.pyannote[18].end |
68.62784375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
68.62784375 |
transcript.pyannote[19].end |
97.02846875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
97.53471875 |
transcript.pyannote[20].end |
116.58659375 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
116.58659375 |
transcript.pyannote[21].end |
117.29534375 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
117.41346875 |
transcript.pyannote[22].end |
118.71284375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
117.56534375 |
transcript.pyannote[23].end |
121.56471875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
121.85159375 |
transcript.pyannote[24].end |
122.66159375 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
122.81346875 |
transcript.pyannote[25].end |
122.84721875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
122.84721875 |
transcript.pyannote[26].end |
122.86409375 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
122.86409375 |
transcript.pyannote[27].end |
123.20159375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
123.20159375 |
transcript.pyannote[28].end |
128.48346875 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
123.40409375 |
transcript.pyannote[29].end |
123.43784375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
128.92221875 |
transcript.pyannote[30].end |
130.62659375 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
129.51284375 |
transcript.pyannote[31].end |
129.93471875 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
131.03159375 |
transcript.pyannote[32].end |
139.13159375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
133.74846875 |
transcript.pyannote[33].end |
135.43596875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
138.40596875 |
transcript.pyannote[34].end |
160.74846875 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
168.73034375 |
transcript.pyannote[35].end |
169.37159375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
170.01284375 |
transcript.pyannote[36].end |
172.03784375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
173.11784375 |
transcript.pyannote[37].end |
174.88971875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
175.19346875 |
transcript.pyannote[38].end |
179.12534375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
179.44596875 |
transcript.pyannote[39].end |
182.19659375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
182.95596875 |
transcript.pyannote[40].end |
191.69721875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
191.52846875 |
transcript.pyannote[41].end |
192.47346875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
192.47346875 |
transcript.pyannote[42].end |
194.36346875 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
194.71784375 |
transcript.pyannote[43].end |
195.29159375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
195.59534375 |
transcript.pyannote[44].end |
200.15159375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
202.12596875 |
transcript.pyannote[45].end |
204.26909375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
204.91034375 |
transcript.pyannote[46].end |
209.66909375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
210.25971875 |
transcript.pyannote[47].end |
220.24971875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
220.51971875 |
transcript.pyannote[48].end |
223.77659375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
224.14784375 |
transcript.pyannote[49].end |
243.94221875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
244.41471875 |
transcript.pyannote[50].end |
244.97159375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
247.01346875 |
transcript.pyannote[51].end |
249.35909375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
249.73034375 |
transcript.pyannote[52].end |
259.99034375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
260.47971875 |
transcript.pyannote[53].end |
281.13471875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
281.69159375 |
transcript.pyannote[54].end |
294.83721875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
295.47846875 |
transcript.pyannote[55].end |
305.01284375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
305.53596875 |
transcript.pyannote[56].end |
313.34909375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
313.55159375 |
transcript.pyannote[57].end |
316.82534375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
317.55096875 |
transcript.pyannote[58].end |
319.17096875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
319.50846875 |
transcript.pyannote[59].end |
319.86284375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
320.45346875 |
transcript.pyannote[60].end |
321.46596875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
321.87096875 |
transcript.pyannote[61].end |
322.54596875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
323.44034375 |
transcript.pyannote[62].end |
338.64471875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
339.25221875 |
transcript.pyannote[63].end |
341.61471875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
342.12096875 |
transcript.pyannote[64].end |
343.21784375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
343.43721875 |
transcript.pyannote[65].end |
352.11096875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
352.27971875 |
transcript.pyannote[66].end |
358.75971875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
359.38409375 |
transcript.pyannote[67].end |
359.65409375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
360.19409375 |
transcript.pyannote[68].end |
360.88596875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
361.49346875 |
transcript.pyannote[69].end |
364.93596875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
365.54346875 |
transcript.pyannote[70].end |
368.22659375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
368.73284375 |
transcript.pyannote[71].end |
370.08284375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
370.60596875 |
transcript.pyannote[72].end |
379.39784375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
379.70159375 |
transcript.pyannote[73].end |
384.07221875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
384.46034375 |
transcript.pyannote[74].end |
396.71159375 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
397.69034375 |
transcript.pyannote[75].end |
398.80409375 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
399.46221875 |
transcript.pyannote[76].end |
400.12034375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
400.66034375 |
transcript.pyannote[77].end |
401.09909375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
401.09909375 |
transcript.pyannote[78].end |
401.85846875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
401.11596875 |
transcript.pyannote[79].end |
401.70659375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
402.06096875 |
transcript.pyannote[80].end |
409.14846875 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
403.30971875 |
transcript.pyannote[81].end |
404.89596875 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
411.32534375 |
transcript.pyannote[82].end |
412.13534375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
412.64159375 |
transcript.pyannote[83].end |
413.72159375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
414.21096875 |
transcript.pyannote[84].end |
414.61596875 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
414.97034375 |
transcript.pyannote[85].end |
426.46221875 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
418.95284375 |
transcript.pyannote[86].end |
422.12534375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
425.83784375 |
transcript.pyannote[87].end |
434.19096875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
427.28909375 |
transcript.pyannote[88].end |
430.15784375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
434.19096875 |
transcript.pyannote[89].end |
449.63159375 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
439.48971875 |
transcript.pyannote[90].end |
444.97409375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
450.10409375 |
transcript.pyannote[91].end |
450.27284375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
450.27284375 |
transcript.pyannote[92].end |
450.30659375 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
450.30659375 |
transcript.pyannote[93].end |
450.32346875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
450.32346875 |
transcript.pyannote[94].end |
450.49221875 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
450.49221875 |
transcript.pyannote[95].end |
464.75159375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
464.16096875 |
transcript.pyannote[96].end |
464.95409375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
464.76846875 |
transcript.pyannote[97].end |
464.78534375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
464.95409375 |
transcript.pyannote[98].end |
464.97096875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
464.97096875 |
transcript.pyannote[99].end |
465.03846875 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
465.03846875 |
transcript.pyannote[100].end |
481.47471875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
465.37596875 |
transcript.pyannote[101].end |
465.40971875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
465.47721875 |
transcript.pyannote[102].end |
465.62909375 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
481.40721875 |
transcript.pyannote[103].end |
481.62659375 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
481.57596875 |
transcript.pyannote[104].end |
481.60971875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
481.62659375 |
transcript.pyannote[105].end |
481.76159375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
481.76159375 |
transcript.pyannote[106].end |
487.00971875 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
487.00971875 |
transcript.pyannote[107].end |
490.75596875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
487.81971875 |
transcript.pyannote[108].end |
488.78159375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
490.08096875 |
transcript.pyannote[109].end |
494.48534375 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
490.78971875 |
transcript.pyannote[110].end |
492.42659375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
493.42221875 |
transcript.pyannote[111].end |
494.31659375 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
494.70471875 |
transcript.pyannote[112].end |
501.08346875 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
496.37534375 |
transcript.pyannote[113].end |
497.10096875 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
497.18534375 |
transcript.pyannote[114].end |
502.34909375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
501.74159375 |
transcript.pyannote[115].end |
502.63596875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
502.82159375 |
transcript.pyannote[116].end |
503.54721875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
504.34034375 |
transcript.pyannote[117].end |
507.59721875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
508.37346875 |
transcript.pyannote[118].end |
517.46909375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
518.21159375 |
transcript.pyannote[119].end |
519.51096875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
519.74721875 |
transcript.pyannote[120].end |
521.28284375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
521.58659375 |
transcript.pyannote[121].end |
524.35409375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
524.62409375 |
transcript.pyannote[122].end |
530.56409375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
531.01971875 |
transcript.pyannote[123].end |
552.21471875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
552.80534375 |
transcript.pyannote[124].end |
562.37346875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
563.30159375 |
transcript.pyannote[125].end |
564.63471875 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
564.88784375 |
transcript.pyannote[126].end |
573.94971875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
574.42221875 |
transcript.pyannote[127].end |
574.52346875 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
574.52346875 |
transcript.pyannote[128].end |
577.45971875 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
574.70909375 |
transcript.pyannote[129].end |
576.17721875 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
577.79721875 |
transcript.pyannote[130].end |
578.32034375 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
578.62409375 |
transcript.pyannote[131].end |
580.31159375 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
580.49721875 |
transcript.pyannote[132].end |
584.05784375 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
584.49659375 |
transcript.pyannote[133].end |
591.44909375 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
591.90471875 |
transcript.pyannote[134].end |
593.40659375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
593.77784375 |
transcript.pyannote[135].end |
596.25846875 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
596.86596875 |
transcript.pyannote[136].end |
609.50534375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
602.21534375 |
transcript.pyannote[137].end |
645.60096875 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
639.93096875 |
transcript.pyannote[138].end |
641.24721875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
642.14159375 |
transcript.pyannote[139].end |
642.91784375 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
645.60096875 |
transcript.pyannote[140].end |
646.84971875 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
645.78659375 |
transcript.pyannote[141].end |
646.91721875 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
647.23784375 |
transcript.pyannote[142].end |
656.78909375 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
651.00096875 |
transcript.pyannote[143].end |
651.67596875 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
657.09284375 |
transcript.pyannote[144].end |
658.99971875 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
659.67471875 |
transcript.pyannote[145].end |
667.09971875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
666.00284375 |
transcript.pyannote[146].end |
667.04909375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
667.09971875 |
transcript.pyannote[147].end |
667.23471875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
667.23471875 |
transcript.pyannote[148].end |
674.52471875 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
667.36971875 |
transcript.pyannote[149].end |
667.72409375 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
670.64346875 |
transcript.pyannote[150].end |
670.98096875 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
674.86221875 |
transcript.pyannote[151].end |
685.66221875 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
685.98284375 |
transcript.pyannote[152].end |
687.61971875 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
688.17659375 |
transcript.pyannote[153].end |
688.41284375 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
688.68284375 |
transcript.pyannote[154].end |
747.35721875 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
707.21159375 |
transcript.pyannote[155].end |
709.79346875 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
747.76221875 |
transcript.pyannote[156].end |
757.44846875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
753.19596875 |
transcript.pyannote[157].end |
753.95534375 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
757.63409375 |
transcript.pyannote[158].end |
761.12721875 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
760.19909375 |
transcript.pyannote[159].end |
768.61971875 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
763.38846875 |
transcript.pyannote[160].end |
784.54971875 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
785.14034375 |
transcript.pyannote[161].end |
792.37971875 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
787.24971875 |
transcript.pyannote[162].end |
795.92346875 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
793.18971875 |
transcript.pyannote[163].end |
820.15596875 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
807.75284375 |
transcript.pyannote[164].end |
810.62159375 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
812.03909375 |
transcript.pyannote[165].end |
813.35534375 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
820.45971875 |
transcript.pyannote[166].end |
820.94909375 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
823.36221875 |
transcript.pyannote[167].end |
823.64909375 |
transcript.whisperx[0].start |
1.698 |
transcript.whisperx[0].end |
8.744 |
transcript.whisperx[0].text |
好謝謝主席我先請那個中選會法政處專門委員中選會今天只有來一位嘛對不對 |
transcript.whisperx[1].start |
11.806 |
transcript.whisperx[1].end |
40.498 |
transcript.whisperx[1].text |
好 專委好專委剛才翁曉琳委員詢問您就是包含罷免謝國良跟韓國瑜當時中選會的告發是在罷免之後告發對不對是好 那我請問這幾年還有包含罷免陳柏為委員是不是也是在選後告發這個我要回去查一下我知道是選後告發 |
transcript.whisperx[2].start |
42.126 |
transcript.whisperx[2].end |
64.264 |
transcript.whisperx[2].text |
還有我們過去公投案也是要連署喔是早交公投是不是在選後告發是是在選後告發所以我們過去的公投案都是在選後告發是嗎目前看到的是都是好那請問一下罷免黃捷委員是在這個連署的時候告發還是選後告發 |
transcript.whisperx[3].start |
66.958 |
transcript.whisperx[3].end |
82.167 |
transcript.whisperx[3].text |
這一個也是在選後都是在選後告發所以現在事實證明就是過去中選會確實會告發所謂的偽造案件死人連署但是都是等到選後再做告發 |
transcript.whisperx[4].start |
83.067 |
transcript.whisperx[4].end |
91.412 |
transcript.whisperx[4].text |
所以看起來這次大罷免很不一樣為了要大罷免大成功對國民黨的委員能夠成功為了讓民進黨的委員可以干擾所以出現了大護航所以我想中選會這邊你現在有沒有提出說 |
transcript.whisperx[5].start |
101.878 |
transcript.whisperx[5].end |
121.413 |
transcript.whisperx[5].text |
除了在這次罷免之外 之前不管是總統連署 或者是共和連署 或者是罷免民意代表連署有像今年一樣是在連署期間在告發的案例嗎 有嗎沒有 所以今年是特例 為什麼 |
transcript.whisperx[6].start |
123.474 |
transcript.whisperx[6].end |
149.993 |
transcript.whisperx[6].text |
因為我知道剛才你也想說你沒辦法回答對不對因為決策不在你嘛是不是決策在你嗎包委員這個也不是決策的問題啦因為畢竟這是一個階段性的結果而且今年的所以過去都是在選後包含公投也是在投票之後但是今年非常的特殊所以你告訴我今年沒有其他的任何考量我想 |
transcript.whisperx[7].start |
150.874 |
transcript.whisperx[7].end |
160.638 |
transcript.whisperx[7].text |
大家就很難很難不做質疑了吧因為時間的關係 我不要耽誤下面的委員來 那個您可以請會 我請我們法務部長委員好好 請秀出來 部長好我手上拿著一個這是聯合國在今年4月的一個報告 |
transcript.whisperx[8].start |
180.002 |
transcript.whisperx[8].end |
199.577 |
transcript.whisperx[8].text |
這個報告呢 就是針對這個東南亞出現了詐騙中心 地下金融還有一些非法網路市場的全球影響部長知道這份報告嗎這個我不清楚你不知道這份報告那 我不曉得現場有沒有法務部的同仁你們知道這份報告嗎連這份報告都不清楚是不是 |
transcript.whisperx[9].start |
205.263 |
transcript.whisperx[9].end |
223.661 |
transcript.whisperx[9].text |
聯合國四月份的報告多次提及台灣它的重點是在東南亞市場我們都知道東南亞有豬仔人肉販子有詐騙有那個細簽那它在裡面講到一些對於全球的影響這份報告速速度的 |
transcript.whisperx[10].start |
226.784 |
transcript.whisperx[10].end |
242.82 |
transcript.whisperx[10].text |
提及到台灣至少有四個案件一個叫做VV集團這個VV集團他提到這個呢集團在操控這種包含惡意散播軟體以及非法賭博平台20年前在台灣創立再來 |
transcript.whisperx[11].start |
247.062 |
transcript.whisperx[11].end |
252.984 |
transcript.whisperx[11].text |
提到一位這裡面的詐騙他當然他在跟台灣稍微遠了一點但他說他是來自台灣的犯罪集團出生在台灣只是後來呢他規劃到厄瓜多的這個商人他們涉及把馬來人在馬來西亞把人賣到秘魯然後強迫他們從事跨國網路詐騙好再來這個就跟台灣非常有關係的 |
transcript.whisperx[12].start |
273.613 |
transcript.whisperx[12].end |
294.319 |
transcript.whisperx[12].text |
他提到新加坡有一個史上最大洗錢案查扣了新幣30億大概約台幣700多億台幣主謀及兩個共犯都在台灣設立金融科技公司叫做縱網數碼科技提供技術支援再來 |
transcript.whisperx[13].start |
295.519 |
transcript.whisperx[13].end |
318.989 |
transcript.whisperx[13].text |
他說有一個叫BG2的集團跟梅根混合基地犯罪網然後呢合作然後這裡面呢也在而且這個BG2的高層呢他在台灣的通緝名單上而且BG2曾在台灣設立非法賭博以及雲端科技公司這真的是台灣之光嘛聯合國的報告 |
transcript.whisperx[14].start |
323.639 |
transcript.whisperx[14].end |
338.357 |
transcript.whisperx[14].text |
裡面數度提及台灣不管在台灣的公司或者是出生在台灣我剛剛講那個案子是遠一點他後來規劃到其他國籍但是幾個都是在台灣有設立公司甚至在台灣的通緝名單上 |
transcript.whisperx[15].start |
339.138 |
transcript.whisperx[15].end |
341.54 |
transcript.whisperx[15].text |
我們一直在說我們要查詐騙 查走私查這些把台灣人賣到柬埔寨 緬甸 泰國這些國家我們要加強辦案 結果一個聯合國四月份提出來報告我們部長都不知道 部長你好忙啊忙著在找查罷免案 是吧 |
transcript.whisperx[16].start |
365.575 |
transcript.whisperx[16].end |
390.993 |
transcript.whisperx[16].text |
忙著在查連署案是吧我們多次提及包含當時在預算我們都願意司法法制委員會完全的支持法務部的預算為什麼呢 我們都覺得檢察官很辛苦因為台灣的詐騙實在太多了還有國際的詐騙然後我們願意在預算上支持我們的檢察官因為我們都知道他們的案件辦得非常非常多 |
transcript.whisperx[17].start |
391.733 |
transcript.whisperx[17].end |
407.037 |
transcript.whisperx[17].text |
就讓我們發現原來我們的檢察官有很多時間來作為政治的工具打擊罷免 打擊罷免國民黨立委的工具請問一下部長為什麼連這個報告你都不知道 請問一下你在忙什麼 忙在立法院訓導 |
transcript.whisperx[18].start |
415.062 |
transcript.whisperx[18].end |
420.586 |
transcript.whisperx[18].text |
所以是因為你到立法院尋答來再講還在忙什麼你到立法院尋答所以連聯合國的公開報告你都沒看到再講一遍啊好會講來再來你在忙什麼在講你在忙什麼委員你提供我們會回去好好的把它收集起來我們好好的處理 |
transcript.whisperx[19].start |
434.258 |
transcript.whisperx[19].end |
449.346 |
transcript.whisperx[19].text |
你知道我本來接下來我認為你知道然後呢我要接下來問你這幾個案子我們有沒有偵辦我們有沒有國際合作結果一問三不知所以因為你在立法院來做報告所以你不知道這些嚴重的事情 |
transcript.whisperx[20].start |
451.727 |
transcript.whisperx[20].end |
475.938 |
transcript.whisperx[20].text |
審查本來就是我們保護部非常重要的一個政策那我們的成果績效我們都有呈現出來最近媒體 呈現什麼 一萬三不知北檢 北檢那忙著政治的那些 忙著政治的東西 你也承認就以台北地檢署 這個證據你講 我必須要澄清喔台北地檢署最近也辦了一個案件也查獲了炸團 有幾千人的炸團那個金額高達將近兩百億 |
transcript.whisperx[21].start |
477.819 |
transcript.whisperx[21].end |
481.983 |
transcript.whisperx[21].text |
這個最近剛起訴了這個我剛才講過我們檢察官不管檢警調來偵查詐騙我們全力支持我們全力肯定但是我們詐騙案這麼多這麼多然後這個事情你既然不知道好再來再來我看你到底在忙什麼我再來問喔 |
transcript.whisperx[22].start |
504.383 |
transcript.whisperx[22].end |
516.329 |
transcript.whisperx[22].text |
您剛說不要去問個案問題一 我們這一次就是台北市黨部主委黃呂錦如在星期六的清晨她無保請回 |
transcript.whisperx[23].start |
518.36 |
transcript.whisperx[23].end |
539.929 |
transcript.whisperx[23].text |
星期二 淨檢天下人稱號稱淨檢就立刻可以把檢察官的相關資料做了詳細的報告如跟過去柯文哲案件如出一徹這個過去在司法法制委員會也有很多的專案報告質詢 |
transcript.whisperx[24].start |
541.169 |
transcript.whisperx[24].end |
562.182 |
transcript.whisperx[24].text |
也就是說我們檢察官有關於資料外洩給特定媒體使得進週刊在天下人號稱禁檢所以馬上星期六吳寶請回當然還有兩個人在裡面星期二媒體就報導這麼多篇所以 |
transcript.whisperx[25].start |
563.763 |
transcript.whisperx[25].end |
579.613 |
transcript.whisperx[25].text |
這個是個案但是檢察官洩漏資訊 洩漏資料給相關媒體已經不是個案了不是單一案例所以部長請說明這個委員有沒有仔細看這個 |
transcript.whisperx[26].start |
581.213 |
transcript.whisperx[26].end |
600.68 |
transcript.whisperx[26].text |
這個這一份的一個報導他這個消息的來源要講說本刊調查一名交保的青年軍在偵訊後向友人大發牢騷強調只是被掛名原本他相信等等等這是從那邊來的另外還有熟悉青年軍的人士轉述等等等 |
transcript.whisperx[27].start |
601.36 |
transcript.whisperx[27].end |
606.265 |
transcript.whisperx[27].text |
所以這個媒體來 你給我 你不用斷章取義裡面特別提到裡面提到說裡面的內容 它裡面要講得非常詳細它比如說它說裡面的內容因為跟國民黨的黨員名冊大量相同 |
transcript.whisperx[28].start |
621.358 |
transcript.whisperx[28].end |
627.16 |
transcript.whisperx[28].text |
然後呢甚至什麼錯誤的地址也跟黨員名冊上下可能有錯字等等請問一下你認為這是青年軍所透露的嗎你認為這是跟青年軍所熟悉的人所透露的嗎他們很想自己被關進去是不是所以部長你不要在這邊給我斷章取義我不是沒有看過所以我講了 |
transcript.whisperx[29].start |
647.108 |
transcript.whisperx[29].end |
651.471 |
transcript.whisperx[29].text |
這樣的不是個案問題 你很喜歡在這邊講個案問題但是一個 一個 再加一個的個案很多個個案就變通案你們檢察官特意洩露消息給特定媒體給特定媒體 怎麼會沒有怎麼會沒有柯文哲案子裡面有多少有 包括說什麼柯文哲的檔案裡面有一個什麼清涼罩 |
transcript.whisperx[30].start |
674.964 |
transcript.whisperx[30].end |
679.245 |
transcript.whisperx[30].text |
有沒有 這也是進檢所先透露出來的有沒有 最後真的有難道是靠著告訴全世界大家說我的檔案裡面有一個清涼照是他自己透露出來的嗎你要騙三歲小孩嗎 部長你當我們大家是三歲小孩嗎我要告訴部長的就是在整個的司法的公信裡一個又一個的案子 |
transcript.whisperx[31].start |
700.652 |
transcript.whisperx[31].end |
708.619 |
transcript.whisperx[31].text |
因為你們透露消息給特定媒體早就微信蕩然無存你還要讓大家尊重嗎所以我希望你到這個部長應該讓檢調能夠更有公信力更有微信力 |
transcript.whisperx[32].start |
717.045 |
transcript.whisperx[32].end |
745.877 |
transcript.whisperx[32].text |
讓我們認為司法公正可以在社會裡面它的這個司法公正度不要那麼低如果今天崇尚大廈甘於作為政治的打手其結果你是賠上了所有司法人的努力你剛才講說北檢真辦詐騙案子破獲重大的詐騙集團我們予以肯定但是這些人的努力被你們這些人事實上只是被打折扣而已 |
transcript.whisperx[33].start |
746.357 |
transcript.whisperx[33].end |
752.2 |
transcript.whisperx[33].text |
所以拜託我真的不想講什麼風骨很多人說要跟你們講風骨我說連骨頭都沒有還講什麼風骨所以有關於洩密有關於洩密的問題請你能夠嚴正一待這已經不是個案這個我們絕對沒有洩密你查都沒有查你就絕對沒有洩密我們部長連查都沒有查 |
transcript.whisperx[34].start |
768.889 |
transcript.whisperx[34].end |
772.072 |
transcript.whisperx[34].text |
比方說一般來講 我至少要回去了解你查都不查 沒有洩密所以你知道告訴什麼你現在要告訴 傳話給這個檢察官盡量洩嘛 我不但不會查 我還會在這邊幫你扛你連查都沒有 你有查嗎你查了嗎 這個案子你查了嗎 |
transcript.whisperx[35].start |
785.166 |
transcript.whisperx[35].end |
788.548 |
transcript.whisperx[35].text |
查過了嗎你查過了沒有你查過了沒有所以你沒有查過你竟敢就講沒有洩密這是司法人的態度嗎法院部長連查都不要查就說沒有洩密這代表所以難怪檢察官敢為所欲為 |
transcript.whisperx[36].start |
807.04 |
transcript.whisperx[36].end |
819.706 |
transcript.whisperx[36].text |
你們真的把司法人司法威信通通掃蕩在地下真的非常非常可恥讓這些兢兢業業在司法裡面兢兢業業辦案的人都蒙羞啦好 以上 |