IVOD_ID |
152080 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/152080 |
日期 |
2024-05-02 |
會議資料.會議代碼 |
公聽會-2024042658 |
會議資料.會議代碼:str |
「失控的正義1─又要我們『共體時艱』!如何簡化偵查、審判訴訟程序與書類製作及人力增補」公聽會 |
會議資料.屆 |
11 |
會議資料.會期 |
1 |
會議資料.種類 |
公聽會 |
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 |
影片種類 |
Clip |
開始時間 |
2024-05-02T11:27:46+08:00 |
結束時間 |
2024-05-02T11:38:42+08:00 |
影片長度 |
00:10:56 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6f015fe8e6787db1533e1b968874a35a2e2d519231ec7ad855be169921a0a7170ee1a9492a26f8aa5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
吳宗憲 |
委員發言時間 |
11:27:46 - 11:38:42 |
會議時間 |
2024-05-02T09:00:00+08:00 |
會議名稱 |
立法院第11屆第1會期司法及法制委員會公聽會(事由:「失控的正義1─又要我們『共體時艱』!如何簡化偵查、審判訴訟程序與書類製作及人力增補」公聽會) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
0.04784375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
0.06471875 |
transcript.pyannote[1].end |
1.76909375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
3.40596875 |
transcript.pyannote[2].end |
6.39284375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
6.56159375 |
transcript.pyannote[3].end |
8.58659375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
8.83971875 |
transcript.pyannote[4].end |
10.62846875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
10.94909375 |
transcript.pyannote[5].end |
12.92346875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
13.41284375 |
transcript.pyannote[6].end |
27.23346875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
27.46971875 |
transcript.pyannote[7].end |
29.24159375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
29.81534375 |
transcript.pyannote[8].end |
33.15659375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
33.46034375 |
transcript.pyannote[9].end |
36.10971875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
36.58221875 |
transcript.pyannote[10].end |
38.87721875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
39.58596875 |
transcript.pyannote[11].end |
42.04971875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
42.40409375 |
transcript.pyannote[12].end |
43.02846875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
43.43346875 |
transcript.pyannote[13].end |
80.77784375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
81.01409375 |
transcript.pyannote[14].end |
81.46971875 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
82.61721875 |
transcript.pyannote[15].end |
86.32971875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
86.65034375 |
transcript.pyannote[16].end |
93.14721875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
93.65346875 |
transcript.pyannote[17].end |
100.11659375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
100.36971875 |
transcript.pyannote[18].end |
111.77721875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
111.92909375 |
transcript.pyannote[19].end |
119.77596875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
120.09659375 |
transcript.pyannote[20].end |
121.04159375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
121.37909375 |
transcript.pyannote[21].end |
123.87659375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
124.12971875 |
transcript.pyannote[22].end |
127.69034375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
127.77471875 |
transcript.pyannote[23].end |
131.87534375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
132.48284375 |
transcript.pyannote[24].end |
134.47409375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
135.41909375 |
transcript.pyannote[25].end |
137.00534375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
137.34284375 |
transcript.pyannote[26].end |
138.91221875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
138.96284375 |
transcript.pyannote[27].end |
145.96596875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
145.99971875 |
transcript.pyannote[28].end |
146.05034375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
146.08409375 |
transcript.pyannote[29].end |
149.27346875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
149.89784375 |
transcript.pyannote[30].end |
150.92721875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
151.29846875 |
transcript.pyannote[31].end |
164.84909375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
165.28784375 |
transcript.pyannote[32].end |
169.06784375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
169.94534375 |
transcript.pyannote[33].end |
170.23221875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
171.22784375 |
transcript.pyannote[34].end |
171.73409375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
171.88596875 |
transcript.pyannote[35].end |
175.85159375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
176.35784375 |
transcript.pyannote[36].end |
196.96221875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
197.43471875 |
transcript.pyannote[37].end |
200.25284375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
200.69159375 |
transcript.pyannote[38].end |
202.41284375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
202.54784375 |
transcript.pyannote[39].end |
229.83471875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
230.02034375 |
transcript.pyannote[40].end |
235.80846875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
236.09534375 |
transcript.pyannote[41].end |
236.19659375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
237.39471875 |
transcript.pyannote[42].end |
252.61596875 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
253.07159375 |
transcript.pyannote[43].end |
257.74596875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
258.91034375 |
transcript.pyannote[44].end |
262.42034375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
262.67346875 |
transcript.pyannote[45].end |
274.63784375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
274.85721875 |
transcript.pyannote[46].end |
276.10596875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
276.66284375 |
transcript.pyannote[47].end |
284.23971875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
284.37471875 |
transcript.pyannote[48].end |
288.89721875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
289.35284375 |
transcript.pyannote[49].end |
297.62159375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
298.11096875 |
transcript.pyannote[50].end |
309.14721875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
309.41721875 |
transcript.pyannote[51].end |
315.91409375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
317.28096875 |
transcript.pyannote[52].end |
321.12846875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
321.31409375 |
transcript.pyannote[53].end |
325.68471875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
326.08971875 |
transcript.pyannote[54].end |
329.75159375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
330.22409375 |
transcript.pyannote[55].end |
331.86096875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
332.51909375 |
transcript.pyannote[56].end |
334.64534375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
337.19346875 |
transcript.pyannote[57].end |
338.30721875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
338.61096875 |
transcript.pyannote[58].end |
347.89221875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
349.61346875 |
transcript.pyannote[59].end |
370.03221875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
370.25159375 |
transcript.pyannote[60].end |
375.14534375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
375.75284375 |
transcript.pyannote[61].end |
378.65534375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
378.82409375 |
transcript.pyannote[62].end |
383.85284375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
384.03846875 |
transcript.pyannote[63].end |
384.94971875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
385.59096875 |
transcript.pyannote[64].end |
387.09284375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
387.78471875 |
transcript.pyannote[65].end |
390.29909375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
390.53534375 |
transcript.pyannote[66].end |
391.53096875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
392.52659375 |
transcript.pyannote[67].end |
412.00034375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
412.38846875 |
transcript.pyannote[68].end |
415.59471875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
417.11346875 |
transcript.pyannote[69].end |
418.59846875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
418.64909375 |
transcript.pyannote[70].end |
423.40784375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
424.04909375 |
transcript.pyannote[71].end |
426.05721875 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
426.56346875 |
transcript.pyannote[72].end |
429.58409375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
429.82034375 |
transcript.pyannote[73].end |
442.79721875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
442.98284375 |
transcript.pyannote[74].end |
443.94471875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
444.45096875 |
transcript.pyannote[75].end |
447.16784375 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
447.69096875 |
transcript.pyannote[76].end |
453.29346875 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
453.61409375 |
transcript.pyannote[77].end |
458.71034375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
458.77784375 |
transcript.pyannote[78].end |
459.82409375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
460.49909375 |
transcript.pyannote[79].end |
464.00909375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
465.08909375 |
transcript.pyannote[80].end |
465.81471875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
466.50659375 |
transcript.pyannote[81].end |
467.94096875 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
468.24471875 |
transcript.pyannote[82].end |
468.61596875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
470.11784375 |
transcript.pyannote[83].end |
473.32409375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
473.77971875 |
transcript.pyannote[84].end |
474.70784375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
474.82596875 |
transcript.pyannote[85].end |
486.03096875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
486.72284375 |
transcript.pyannote[86].end |
489.38909375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
490.06409375 |
transcript.pyannote[87].end |
499.22721875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
500.29034375 |
transcript.pyannote[88].end |
501.60659375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
501.97784375 |
transcript.pyannote[89].end |
506.80409375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
507.29346875 |
transcript.pyannote[90].end |
509.18346875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
509.45346875 |
transcript.pyannote[91].end |
514.31346875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
514.38096875 |
transcript.pyannote[92].end |
516.40596875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
516.91221875 |
transcript.pyannote[93].end |
520.65846875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
520.89471875 |
transcript.pyannote[94].end |
527.76284375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
528.20159375 |
transcript.pyannote[95].end |
530.12534375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
530.44596875 |
transcript.pyannote[96].end |
531.44159375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
532.43721875 |
transcript.pyannote[97].end |
533.85471875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
534.00659375 |
transcript.pyannote[98].end |
536.28471875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
536.63909375 |
transcript.pyannote[99].end |
538.07346875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
539.84534375 |
transcript.pyannote[100].end |
542.24159375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
542.95034375 |
transcript.pyannote[101].end |
551.91096875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
552.38346875 |
transcript.pyannote[102].end |
555.31971875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
556.12971875 |
transcript.pyannote[103].end |
556.55159375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
556.92284375 |
transcript.pyannote[104].end |
559.53846875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
559.85909375 |
transcript.pyannote[105].end |
562.76159375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
564.11159375 |
transcript.pyannote[106].end |
569.08971875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
570.08534375 |
transcript.pyannote[107].end |
584.98596875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
586.01534375 |
transcript.pyannote[108].end |
588.41159375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
589.50846875 |
transcript.pyannote[109].end |
594.09846875 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
594.77346875 |
transcript.pyannote[110].end |
598.04721875 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
598.35096875 |
transcript.pyannote[111].end |
598.53659375 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
598.94159375 |
transcript.pyannote[112].end |
599.71784375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
600.02159375 |
transcript.pyannote[113].end |
600.59534375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
601.01721875 |
transcript.pyannote[114].end |
603.21096875 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
604.07159375 |
transcript.pyannote[115].end |
606.02909375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
606.55221875 |
transcript.pyannote[116].end |
608.13846875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
608.71221875 |
transcript.pyannote[117].end |
616.25534375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
616.28909375 |
transcript.pyannote[118].end |
616.30596875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
616.33971875 |
transcript.pyannote[119].end |
620.89596875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
621.79034375 |
transcript.pyannote[120].end |
629.60346875 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
629.75534375 |
transcript.pyannote[121].end |
630.02534375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
630.41346875 |
transcript.pyannote[122].end |
633.78846875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
634.91909375 |
transcript.pyannote[123].end |
635.56034375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
635.81346875 |
transcript.pyannote[124].end |
644.87534375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
645.01034375 |
transcript.pyannote[125].end |
645.02721875 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
645.06096875 |
transcript.pyannote[126].end |
646.59659375 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
646.96784375 |
transcript.pyannote[127].end |
649.87034375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
650.68034375 |
transcript.pyannote[128].end |
653.46471875 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
654.96659375 |
transcript.pyannote[129].end |
656.67096875 |
transcript.whisperx[0].start |
0.249 |
transcript.whisperx[0].end |
29.052 |
transcript.whisperx[0].text |
報告一件事情就是因為我自己之前有20年的檢察官經歷所以我非常能夠體會所有在場的法官檢察官目前工作量的辛苦那我剛聽了在場的黃律師、蕭律師還有蔡律師的說法那完全印證了這段時間我同期同學以及學長紛紛離開司法體系他們告訴了我一句話叫做辭職治百病 |
transcript.whisperx[1].start |
30.173 |
transcript.whisperx[1].end |
56.559 |
transcript.whisperx[1].text |
在當法官檢察官的時候身體都出了很多狀況家庭也出狀況但辭職之後回來看我們的時候就是榮光煥發那到底是誰造成了今天這個樣子而且我們的辛苦並沒有讓人民對於司法更信任那這個司法改革就是完全失敗所以我一直提出一件事情千萬不要跟我說司法改革成功 |
transcript.whisperx[2].start |
57.279 |
transcript.whisperx[2].end |
81.267 |
transcript.whisperx[2].text |
因為當人民的信任度沒有提高卻讓法官檢察官的工作量更加繁重那就不叫做司法改革成功所以7年前的那一次司改會議我個人是對他的評價是完全不及格啦而且離及格還很遠我相信這是每一位在場的實務界的司法同仁都能夠理解的那我在這邊要提一個東西喔就是 |
transcript.whisperx[3].start |
83.042 |
transcript.whisperx[3].end |
110.328 |
transcript.whisperx[3].text |
我認為啊就我自己看那個院檢的高層其實做的最不負責任的事情就是說補人補人補人講補人是最不動頭腦最不負責任的一件事情誰不知道要補人但是問題笨蛋問題是出在制度你這樣的制度玩下去你補再多人都沒有用大家還是累得半死所以說補人是最不負責任的長官講出來的話我講這個我負責任 |
transcript.whisperx[4].start |
112.148 |
transcript.whisperx[4].end |
134.281 |
transcript.whisperx[4].text |
我自己一路觀察整個制度下來問題就出在這邊好像剛剛的紀律法官說的他也點出了幾個問題點那我之前也有提過我國20幾年前抄了美國的交互結論過來結果人家美國的交互結論他玩一次就被人家罵一點效率都沒有我們玩兩次 |
transcript.whisperx[5].start |
135.802 |
transcript.whisperx[5].end |
150.308 |
transcript.whisperx[5].text |
這不是更瘋狂嗎所以我沒有辦法理解為什麼我們的司法院這段時間你主責是《刑事訴訟法》但是你完全不去管這件事情那你不就累死所有的法官也累死公訴檢察官 |
transcript.whisperx[6].start |
151.388 |
transcript.whisperx[6].end |
168.893 |
transcript.whisperx[6].text |
因為你同一東西玩兩次而且你二審還可以非清一審的判決那這個到底在玩什麼所以我覺得這個都很離譜啦而且20幾年了卻完全沒有改那到底在做什麼我們拿農業時代的制度在玩今天這個時代這是難以想像 |
transcript.whisperx[7].start |
170 |
transcript.whisperx[7].end |
196.72 |
transcript.whisperx[7].text |
那再來有關人員補充的部分我想跟各位報告人員補充真的不是問題因為缺額一直越來越多因為離職率很高缺額越來越多那你一直說要補人但是你卻沒有讓制度把真正有戰力的留下來結果我很多同期同學或我的學長有20年的經歷20幾年的經歷照理說他們在審理案件的時候是經驗值最好 |
transcript.whisperx[8].start |
197.441 |
transcript.whisperx[8].end |
197.541 |
transcript.whisperx[8].text |
公聽會:吳宗憲 |
transcript.whisperx[9].start |
218.931 |
transcript.whisperx[9].end |
234.693 |
transcript.whisperx[9].text |
我跟各位報告這是在騙基層的法官檢察官這是長官在騙你們這些基層的法官檢察官因為補人永遠不是主要的問題問題還是出在制度你到底給了一個法官檢察官怎麼樣的遊戲規則或把他們搞死的遊戲規則而已 |
transcript.whisperx[10].start |
238.052 |
transcript.whisperx[10].end |
257.324 |
transcript.whisperx[10].text |
所以我認為大家今天不要一直拿補人這個東西當然補人我也是支持可是不要拿這個東西來騙大家因為這根本不是重點那今天像林達檢察官他也提到了很多施放寬92條是不是職權送債役應該要把它取消像我一直主張我一直跟法務部說 |
transcript.whisperx[11].start |
258.953 |
transcript.whisperx[11].end |
275.229 |
transcript.whisperx[11].text |
反起訴處分職權送債那根本就要把它刪掉啊我幹了20年檢察官我多少職權送債我從來也沒有遇過一件後來把我的職權送債認為要做其他處分他只是叫我修改一些知微末節的小東西那這個制度存在的意義在哪裡你從數字來看 |
transcript.whisperx[12].start |
276.73 |
transcript.whisperx[12].end |
297.406 |
transcript.whisperx[12].text |
他變更為非環期數處分那幾乎那個比例是低到很誇張那你為什麼要虛耗二省的檢察官能力像這個制度這麼久了卻沒有人改這個也很奇怪那書類簡化 院檢都在喊書類簡化但是你書類簡化你真的有在推動嗎那你有在追蹤說到底書類簡化了多少 |
transcript.whisperx[13].start |
298.166 |
transcript.whisperx[13].end |
314.665 |
transcript.whisperx[13].text |
我只知道一件事啊我以前在當檢察官的時候我也想寫簡化的書類但是我的檢察長、我的相約、我的主任跟我說你不要寫簡化的書類到時候書類送成會吃虧那這樣搞下去大家不敢寫簡化的書類或是即便你時任了你寫簡化的書類大家還是意見很多 |
transcript.whisperx[14].start |
318.135 |
transcript.whisperx[14].end |
333.579 |
transcript.whisperx[14].text |
我剛剛提到的幾個 譬如說檢方你是不是92條你要好好的改一下 院方你是不是要把認罪跟否認跟認罪的刑度要拉大我一直沒有辦法理解為什麼主席不好意思喔 讓給我一點點時間 |
transcript.whisperx[15].start |
337.256 |
transcript.whisperx[15].end |
347.571 |
transcript.whisperx[15].text |
我必須講一個啦我今天待過司法機關我待過行政機關當過機關我來立法機關行政、立法、司法三權我都走過我真的不知道長官你們在幹什麼 |
transcript.whisperx[16].start |
349.67 |
transcript.whisperx[16].end |
374.93 |
transcript.whisperx[16].text |
你今天司法院你讓法官獨立審判沒有錯我們無權自慰沒有錯但是承認否認你刑度不拉大你就告知檢察官告知法官所有的被告到庭到警察那裡不承認檢察官那裡不承認一審不承認反正我二審承認刑度判的也一樣我幹嘛那麼笨蛋要提早承認結果呢搞下來是不是搞死這些在做偵查在審理的法官 |
transcript.whisperx[17].start |
375.811 |
transcript.whisperx[17].end |
391.28 |
transcript.whisperx[17].text |
就你們我講的都大家檢方律師都喊了很久司法院永遠不做任何處理就給我回一句獨立審判那你可以宣導嘛那我不懂為什麼你要搞慘這些法官呢這些檢察官 |
transcript.whisperx[18].start |
392.837 |
transcript.whisperx[18].end |
415.359 |
transcript.whisperx[18].text |
這個都是可以馬上做的事情你承認否認刑度你竟然要抄美國的行政訴訟制度美國承認否認刑度差多少就我們這裡在玩什麼東西的不但把那個沒有效率的制度玩兩次之外你承認否認刑度還一樣多一個月而已那誰要來認罪啊所以這個都是司法院你該處理的東西吧 |
transcript.whisperx[19].start |
417.148 |
transcript.whisperx[19].end |
423.229 |
transcript.whisperx[19].text |
譬如替代判決這也可以很快可以做到啊沒有正義的東西是不是就不要再寫那麼多 |
transcript.whisperx[20].start |
424.093 |
transcript.whisperx[20].end |
446.973 |
transcript.whisperx[20].text |
判決理由因為判決書厚厚一本當事人只看主文阿你其他是寫給二審看的寫給其他法官看的那幹嘛自己搞自己很多東西喔不需要讓這個判決書這麼這麼漏漏等的是不是該刪就把它刪掉很多東西用比如取代判決或是根本就不需要 |
transcript.whisperx[21].start |
447.754 |
transcript.whisperx[21].end |
457.004 |
transcript.whisperx[21].text |
有這麼多的判決理由要寫在裡面或是簡單的條列化或像剛剛有律師提的就像罰單一樣這麼簡單勾一勾簡單寫幾個字就好來簡化偵查書類或裁判書類的製作時間最後我想提一個東西 |
transcript.whisperx[22].start |
470.328 |
transcript.whisperx[22].end |
498.968 |
transcript.whisperx[22].text |
該除罪話的東西我們還是要盡量推除罪話公然無辱不違憲其實我覺得這一點我可以接受但是它不代表不能除罪話那個是憲法有沒有違憲的問題但是在法律上面我們可以除罪啊它沒有必要存在嘛我罵你一句髒話結果我要用全民那麼多我們全民繳的稅金司法預算是全民的稅金我要拿全國人的錢來滿足你的心情 |
transcript.whisperx[23].start |
500.536 |
transcript.whisperx[23].end |
527.648 |
transcript.whisperx[23].text |
這個沒有道理嘛那如果你今天要告你要告民事訴訟那你自己去繳裁判費去告啊為什麼一堆檢察官要把他放進來然後公然無路如果不除罪的話現在網路那麼發達基隆的人告屏東的就屏東要來 屏東的被告要來基隆開庭就到最後不起訴或判無罪這不就人民的損失嗎所以這東西該除罪的話我們是不是早就應該要要積極地做這件事情了 |
transcript.whisperx[24].start |
528.848 |
transcript.whisperx[24].end |
536.854 |
transcript.whisperx[24].text |
最後我再講一個我上一次在這邊質詢部長以及司法院秘書長的時候我曾經提過一個數據我是在2020年離開檢方的2019年的數據到去年的數據全國檢方總受案量增加了47%也就是全國新案多了快五成 |
transcript.whisperx[25].start |
556.212 |
transcript.whisperx[25].end |
584.74 |
transcript.whisperx[25].text |
那我再看一下房價這7年啦是增加了98%也就是我們也就是檢方新案的增加率跟房價差不多了我為什麼要講到房價年輕人啦對於現在的房價有多無奈多想躺平做到工作再多也買不起房子有多無奈多想躺平現在的法官檢察官對於現在案件量就有多無奈多想躺平啦 |
transcript.whisperx[26].start |
586.052 |
transcript.whisperx[26].end |
602.98 |
transcript.whisperx[26].text |
因為你再怎麼努力你還是結不完那但是法官、假官不能躺平他就拼命地做拿自己的家庭生活拿自己的健康去跟他拼麻煩一下沒有合理的數量絕對不可能有 |
transcript.whisperx[27].start |
604.127 |
transcript.whisperx[27].end |
604.147 |
transcript.whisperx[27].text |
吳宗憲 |
transcript.whisperx[28].start |
634.963 |
transcript.whisperx[28].end |
635.043 |
transcript.whisperx[28].text |
吳宗憲委員 |