iVOD / 165640

Field Value
IVOD_ID 165640
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165640
日期 2025-11-19
會議資料.會議代碼 委員會-11-4-36-9
會議資料.會議代碼:str 第11屆第4會期司法及法制委員會第9次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 9
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4會期司法及法制委員會第9次全體委員會議
影片種類 Clip
開始時間 2025-11-19T12:59:34+08:00
結束時間 2025-11-19T13:19:18+08:00
影片長度 00:19:44
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/9c5448532e3833d1c4ade78b39a4db917e24dce8f91e16ee662daff7a264498aeebc5b1f2304e56a5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 林淑芬
委員發言時間 12:59:34 - 13:19:18
會議時間 2025-11-19T09:00:00+08:00
會議名稱 立法院第11屆第4會期司法及法制委員會第9次全體委員會議(事由:邀請司法院副秘書長、法務部部長、法務部調查局局長、行政院打擊詐欺指揮中心指揮官、內政部警政署署長、數位發展部、國家通訊傳播委員會、經濟部、金融監督管理委員會、個人資料保護委員會籌備處等就「太子集團涉詐案、跨部會防詐及打詐成效,以及參考新加坡打詐鞭刑入法之可行性評估」進行專題報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 6.12284375
transcript.pyannote[0].end 6.52784375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 8.04659375
transcript.pyannote[1].end 14.94846875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 15.45471875
transcript.pyannote[2].end 17.29409375
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 17.96909375
transcript.pyannote[3].end 19.72409375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 19.84221875
transcript.pyannote[4].end 20.90534375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 22.28909375
transcript.pyannote[5].end 23.23409375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 25.61346875
transcript.pyannote[6].end 26.35596875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 25.95096875
transcript.pyannote[7].end 26.10284375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 26.79471875
transcript.pyannote[8].end 32.58284375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 33.54471875
transcript.pyannote[9].end 33.94971875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 35.28284375
transcript.pyannote[10].end 39.43409375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 39.95721875
transcript.pyannote[11].end 43.23096875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 44.10846875
transcript.pyannote[12].end 46.82534375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 46.75784375
transcript.pyannote[13].end 49.06971875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 52.73159375
transcript.pyannote[14].end 80.28846875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 80.57534375
transcript.pyannote[15].end 81.75659375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 82.06034375
transcript.pyannote[16].end 115.28721875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 115.96221875
transcript.pyannote[17].end 118.05471875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 119.11784375
transcript.pyannote[18].end 123.53909375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 123.47159375
transcript.pyannote[19].end 138.20346875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 139.11471875
transcript.pyannote[20].end 146.21909375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 145.45971875
transcript.pyannote[21].end 146.28659375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 146.28659375
transcript.pyannote[22].end 147.01221875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 147.01221875
transcript.pyannote[23].end 151.73721875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 152.29409375
transcript.pyannote[24].end 156.24284375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 156.86721875
transcript.pyannote[25].end 161.65971875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 160.12409375
transcript.pyannote[26].end 163.80284375
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 163.44846875
transcript.pyannote[27].end 167.90346875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 166.19909375
transcript.pyannote[28].end 166.50284375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 167.16096875
transcript.pyannote[29].end 167.92034375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 167.92034375
transcript.pyannote[30].end 168.08909375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 168.08909375
transcript.pyannote[31].end 168.10596875
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 168.10596875
transcript.pyannote[32].end 168.15659375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 168.15659375
transcript.pyannote[33].end 168.34221875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 168.34221875
transcript.pyannote[34].end 173.94471875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 168.40971875
transcript.pyannote[35].end 168.44346875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 174.92346875
transcript.pyannote[36].end 176.03721875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 176.27346875
transcript.pyannote[37].end 206.96909375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 206.96909375
transcript.pyannote[38].end 209.66909375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 209.66909375
transcript.pyannote[39].end 210.02346875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 209.88846875
transcript.pyannote[40].end 232.39971875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 233.71596875
transcript.pyannote[41].end 235.97721875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 236.38221875
transcript.pyannote[42].end 245.46096875
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 245.83221875
transcript.pyannote[43].end 291.90096875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 287.34471875
transcript.pyannote[44].end 288.67784375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 291.41159375
transcript.pyannote[45].end 292.55909375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 292.57596875
transcript.pyannote[46].end 292.59284375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 292.60971875
transcript.pyannote[47].end 302.78534375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 293.89221875
transcript.pyannote[48].end 294.46596875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 302.78534375
transcript.pyannote[49].end 303.66284375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 303.66284375
transcript.pyannote[50].end 308.18534375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 303.69659375
transcript.pyannote[51].end 303.83159375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 306.88596875
transcript.pyannote[52].end 315.49221875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 311.59409375
transcript.pyannote[53].end 314.24346875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 315.66096875
transcript.pyannote[54].end 317.24721875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 316.04909375
transcript.pyannote[55].end 323.76096875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 319.52534375
transcript.pyannote[56].end 320.35221875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 323.76096875
transcript.pyannote[57].end 332.11409375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 323.89596875
transcript.pyannote[58].end 325.43159375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 332.43471875
transcript.pyannote[59].end 339.18471875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 334.91534375
transcript.pyannote[60].end 335.60721875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 336.48471875
transcript.pyannote[61].end 349.83284375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 349.47846875
transcript.pyannote[62].end 350.38971875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 350.67659375
transcript.pyannote[63].end 361.49346875
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 362.65784375
transcript.pyannote[64].end 368.37846875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 368.81721875
transcript.pyannote[65].end 371.97284375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 371.97284375
transcript.pyannote[66].end 376.95096875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 373.99784375
transcript.pyannote[67].end 374.60534375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 377.79471875
transcript.pyannote[68].end 378.48659375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 378.16596875
transcript.pyannote[69].end 378.40221875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 379.49909375
transcript.pyannote[70].end 379.65096875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 379.65096875
transcript.pyannote[71].end 379.75221875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 379.75221875
transcript.pyannote[72].end 379.87034375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 380.07284375
transcript.pyannote[73].end 393.40409375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 380.59596875
transcript.pyannote[74].end 384.78096875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 392.76284375
transcript.pyannote[75].end 393.48846875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 393.48846875
transcript.pyannote[76].end 393.97784375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 393.97784375
transcript.pyannote[77].end 400.91346875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 401.13284375
transcript.pyannote[78].end 403.09034375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 401.26784375
transcript.pyannote[79].end 403.34346875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 403.34346875
transcript.pyannote[80].end 413.97471875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 414.81846875
transcript.pyannote[81].end 414.83534375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 414.83534375
transcript.pyannote[82].end 421.23096875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 420.21846875
transcript.pyannote[83].end 447.28596875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 435.81096875
transcript.pyannote[84].end 436.41846875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 446.59409375
transcript.pyannote[85].end 453.42846875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 452.75346875
transcript.pyannote[86].end 461.41034375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 463.23284375
transcript.pyannote[87].end 468.56534375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 468.24471875
transcript.pyannote[88].end 468.43034375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 468.56534375
transcript.pyannote[89].end 474.94409375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 475.29846875
transcript.pyannote[90].end 478.15034375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 478.52159375
transcript.pyannote[91].end 479.97284375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 479.97284375
transcript.pyannote[92].end 489.43971875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 485.99721875
transcript.pyannote[93].end 487.81971875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 489.43971875
transcript.pyannote[94].end 489.64221875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 489.64221875
transcript.pyannote[95].end 494.29971875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 489.65909375
transcript.pyannote[96].end 490.65471875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 494.92409375
transcript.pyannote[97].end 507.27659375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 495.73409375
transcript.pyannote[98].end 497.70846875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 500.61096875
transcript.pyannote[99].end 501.23534375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 503.26034375
transcript.pyannote[100].end 525.19784375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 525.83909375
transcript.pyannote[101].end 526.61534375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 527.10471875
transcript.pyannote[102].end 529.55159375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 528.82596875
transcript.pyannote[103].end 542.10659375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 529.60221875
transcript.pyannote[104].end 531.96471875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 533.77034375
transcript.pyannote[105].end 535.84596875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 542.69721875
transcript.pyannote[106].end 559.36971875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 560.16284375
transcript.pyannote[107].end 563.13284375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 563.48721875
transcript.pyannote[108].end 564.92159375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 565.17471875
transcript.pyannote[109].end 568.92096875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 569.57909375
transcript.pyannote[110].end 571.80659375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 572.49846875
transcript.pyannote[111].end 588.09096875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 588.63096875
transcript.pyannote[112].end 590.23409375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 591.38159375
transcript.pyannote[113].end 603.49784375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 603.61596875
transcript.pyannote[114].end 614.60159375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 614.90534375
transcript.pyannote[115].end 632.69159375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 633.18096875
transcript.pyannote[116].end 645.12846875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 645.75284375
transcript.pyannote[117].end 646.24221875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 647.25471875
transcript.pyannote[118].end 648.33471875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 648.75659375
transcript.pyannote[119].end 649.12784375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 649.81971875
transcript.pyannote[120].end 649.85346875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 649.85346875
transcript.pyannote[121].end 649.88721875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 649.88721875
transcript.pyannote[122].end 649.92096875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 649.92096875
transcript.pyannote[123].end 649.93784375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 649.93784375
transcript.pyannote[124].end 649.98846875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 649.98846875
transcript.pyannote[125].end 650.00534375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 650.00534375
transcript.pyannote[126].end 650.22471875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 650.22471875
transcript.pyannote[127].end 653.85284375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 655.18596875
transcript.pyannote[128].end 657.39659375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 657.73409375
transcript.pyannote[129].end 664.93971875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 665.49659375
transcript.pyannote[130].end 669.24284375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 669.61409375
transcript.pyannote[131].end 671.16659375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 670.28909375
transcript.pyannote[132].end 681.10596875
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 681.81471875
transcript.pyannote[133].end 686.72534375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 686.87721875
transcript.pyannote[134].end 690.97784375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 690.97784375
transcript.pyannote[135].end 701.01846875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 701.67659375
transcript.pyannote[136].end 714.97409375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 716.08784375
transcript.pyannote[137].end 723.31034375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 723.44534375
transcript.pyannote[138].end 732.62534375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 733.41846875
transcript.pyannote[139].end 736.16909375
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 736.45596875
transcript.pyannote[140].end 738.07596875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 738.32909375
transcript.pyannote[141].end 739.17284375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 740.37096875
transcript.pyannote[142].end 750.54659375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 751.23846875
transcript.pyannote[143].end 759.82784375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 760.24971875
transcript.pyannote[144].end 774.32346875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 776.11221875
transcript.pyannote[145].end 778.52534375
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 779.01471875
transcript.pyannote[146].end 786.52409375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 786.69284375
transcript.pyannote[147].end 787.73909375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 787.46909375
transcript.pyannote[148].end 790.67534375
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 790.99596875
transcript.pyannote[149].end 795.43409375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 795.87284375
transcript.pyannote[150].end 798.21846875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 795.92346875
transcript.pyannote[151].end 797.00346875
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 798.58971875
transcript.pyannote[152].end 800.69909375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 799.60221875
transcript.pyannote[153].end 810.50346875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 805.25534375
transcript.pyannote[154].end 806.77409375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 808.37721875
transcript.pyannote[155].end 809.74409375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 809.89596875
transcript.pyannote[156].end 816.57846875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 815.78534375
transcript.pyannote[157].end 818.11409375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 817.52346875
transcript.pyannote[158].end 819.10971875
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 819.16034375
transcript.pyannote[159].end 829.60596875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 829.87596875
transcript.pyannote[160].end 830.73659375
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 831.54659375
transcript.pyannote[161].end 834.02721875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 834.26346875
transcript.pyannote[162].end 841.50284375
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 842.12721875
transcript.pyannote[163].end 873.88596875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 851.37471875
transcript.pyannote[164].end 851.77971875
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 874.69596875
transcript.pyannote[165].end 876.97409375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 877.56471875
transcript.pyannote[166].end 879.64034375
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 880.26471875
transcript.pyannote[167].end 880.77096875
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 880.93971875
transcript.pyannote[168].end 882.64409375
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 882.98159375
transcript.pyannote[169].end 885.81659375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 886.08659375
transcript.pyannote[170].end 888.29721875
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 888.68534375
transcript.pyannote[171].end 917.17034375
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 917.82846875
transcript.pyannote[172].end 919.04346875
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 919.33034375
transcript.pyannote[173].end 925.00034375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 925.74284375
transcript.pyannote[174].end 934.97346875
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 927.36284375
transcript.pyannote[175].end 927.41346875
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 934.97346875
transcript.pyannote[176].end 937.45409375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 938.71971875
transcript.pyannote[177].end 982.27409375
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 982.35846875
transcript.pyannote[178].end 995.13284375
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 996.68534375
transcript.pyannote[179].end 1006.74284375
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 1007.11409375
transcript.pyannote[180].end 1019.97284375
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 1020.56346875
transcript.pyannote[181].end 1046.07846875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 1047.17534375
transcript.pyannote[182].end 1055.73096875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 1055.73096875
transcript.pyannote[183].end 1055.83221875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 1056.13596875
transcript.pyannote[184].end 1058.56596875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 1059.13971875
transcript.pyannote[185].end 1060.20284375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 1060.92846875
transcript.pyannote[186].end 1082.19096875
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 1081.53284375
transcript.pyannote[187].end 1106.05221875
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 1088.14784375
transcript.pyannote[188].end 1090.59471875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 1092.18096875
transcript.pyannote[189].end 1092.61971875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 1099.62284375
transcript.pyannote[190].end 1101.61409375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 1104.02721875
transcript.pyannote[191].end 1105.34346875
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 1106.05221875
transcript.pyannote[192].end 1116.44721875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 1106.06909375
transcript.pyannote[193].end 1106.49096875
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 1112.24534375
transcript.pyannote[194].end 1112.98784375
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 1116.68346875
transcript.pyannote[195].end 1117.44284375
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 1117.83096875
transcript.pyannote[196].end 1120.86846875
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 1120.51409375
transcript.pyannote[197].end 1123.48409375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 1123.97346875
transcript.pyannote[198].end 1124.00721875
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 1124.00721875
transcript.pyannote[199].end 1124.02409375
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 1124.02409375
transcript.pyannote[200].end 1124.04096875
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 1124.04096875
transcript.pyannote[201].end 1124.59784375
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 1124.59784375
transcript.pyannote[202].end 1168.23659375
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 1131.61784375
transcript.pyannote[203].end 1132.39409375
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 1134.87471875
transcript.pyannote[204].end 1135.81971875
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 1137.65909375
transcript.pyannote[205].end 1138.67159375
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 1138.67159375
transcript.pyannote[206].end 1138.75596875
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 1140.32534375
transcript.pyannote[207].end 1140.86534375
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 1142.38409375
transcript.pyannote[208].end 1143.05909375
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 1143.68346875
transcript.pyannote[209].end 1144.03784375
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 1144.03784375
transcript.pyannote[210].end 1145.13471875
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 1145.87721875
transcript.pyannote[211].end 1146.46784375
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 1150.23096875
transcript.pyannote[212].end 1150.28159375
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 1150.28159375
transcript.pyannote[213].end 1150.58534375
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 1157.47034375
transcript.pyannote[214].end 1157.92596875
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 1160.11971875
transcript.pyannote[215].end 1161.57096875
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 1163.03909375
transcript.pyannote[216].end 1164.18659375
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 1164.97971875
transcript.pyannote[217].end 1165.33409375
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 1168.48971875
transcript.pyannote[218].end 1176.23534375
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 1168.64159375
transcript.pyannote[219].end 1169.92409375
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 1171.52721875
transcript.pyannote[220].end 1173.82221875
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 1175.54346875
transcript.pyannote[221].end 1177.28159375
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 1177.28159375
transcript.pyannote[222].end 1177.31534375
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 1177.31534375
transcript.pyannote[223].end 1183.06971875
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 1177.33221875
transcript.pyannote[224].end 1178.39534375
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 1178.39534375
transcript.pyannote[225].end 1178.78346875
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 1180.70721875
transcript.pyannote[226].end 1182.00659375
transcript.pyannote[227].speaker SPEAKER_00
transcript.pyannote[227].start 1183.13721875
transcript.pyannote[227].end 1183.15409375
transcript.pyannote[228].speaker SPEAKER_00
transcript.pyannote[228].start 1183.17096875
transcript.pyannote[228].end 1183.87971875
transcript.whisperx[0].start 6.141
transcript.whisperx[0].end 20.73
transcript.whisperx[0].text 蛤很訝異喔我們這個司法院副秘書長沒有來他讓人失落了失望了沒想到廳長有來那我們只能問廳長好來聽聽你起來來有請廳長國民法第六條第一項第四款規定齁就是說這個嗯
transcript.whisperx[1].start 35.322
transcript.whisperx[1].end 47.714
transcript.whisperx[1].text 有這種例外的狀況可以這個不適用國民法官法阿上次你旁邊這個人叫什麼名字 上次當然回答我你是 女法官我們行事廳的法事法官你電話給我打電話
transcript.whisperx[2].start 52.779
transcript.whisperx[2].end 78.391
transcript.whisperx[2].text 我再問他說你們那個我問你們副秘書長結果你們與法官來回答我問你們說啊可以不適用國民法官法審理就是第一項第四款有規定被告就被訴事實為有罪的陳述我認罪了然後再來經審判長告知被告通常審判程序之指且依案件情節任不刑國民參與審判為適當
transcript.whisperx[3].start 80.672
transcript.whisperx[3].end 89.377
transcript.whisperx[3].text 我問你們說這個條文後半段是什麼意思什麼叫做依案件情節認不行國民參與審判為適當可不可以舉個例子給我聽聽看你們與法官講了他說涉及到生命法義的對吧法官你當時這樣講吧我再問你說什麼狀況可以不要適用國民法官審理
transcript.whisperx[4].start 105.146
transcript.whisperx[4].end 117.291
transcript.whisperx[4].text 你再跟我講 涉及到生命法義的 那就是一定本來就適用了一定要用 我問你可以哪些不用用你回答我說 一定要用的你把我整笑了 來 聽電話你說
transcript.whisperx[5].start 119.421
transcript.whisperx[5].end 137.907
transcript.whisperx[5].text 跟委員說明一下國民法官的立法意旨沒有不要跟我講那麼多時間有限你就回答我這第四款的這個文字第一個當事人這個已經認罪了後半段是什麼意思你舉個例子讓我了解一下
transcript.whisperx[6].start 139.144
transcript.whisperx[6].end 151.37
transcript.whisperx[6].text 譬如說他量刑的部分他跟檢察官的求刑或是辯護的或是被告的對刑度的部分你現在是在亂講什麼經審判長告知被告通常審判程序之指
transcript.whisperx[7].start 152.358
transcript.whisperx[7].end 173.675
transcript.whisperx[7].text 且依案件情節認為不行國民參與審判為適當這句話是在說什麼委員可不可以讓我慢慢把它陳述出來這個條文你們 你就回答我這個就好我不需要你再去論述法律是你們定的 條文也是你定的叫你舉例說明你舉不出來啊
transcript.whisperx[8].start 174.943
transcript.whisperx[8].end 203.724
transcript.whisperx[8].text 我要舉例的說這個是跟他講說可以行國民法官的時候對不對我們跟他講說你要不要認罪那你認罪之後呢他認為說他可能對相關的刑度或者證據調查他都全部沒有什麼特別的意見那法院認為說檢察官或是辯護人對相關的請求不行國民法官的請求任何適當的話就可以不讓他進行國民法官回到通常程序去審理
transcript.whisperx[9].start 204.685
transcript.whisperx[9].end 232.068
transcript.whisperx[9].text 是這個情形啊對 你講得太好了所以我再跟你講有個案發生啊個案就是第一個 當事人認罪了啊量刑上他也沒意見啊然後跟被害者的家屬也和解了啊然後被害人家屬也表達說我們不想用國民法官審理啊然後你們的第六條第一項第四款也允許啊你們的法官不准人家不准人家
transcript.whisperx[10].start 233.786
transcript.whisperx[10].end 249.159
transcript.whisperx[10].text 回到一般審理耶你這個個案是這樣 你這條法律定罪是在沒好法律啦條件通通都符合了 但法官就不願意 為什麼你知道嗎因為跟事務分配有關啊 第一個
transcript.whisperx[11].start 250.02
transcript.whisperx[11].end 253.043
transcript.whisperx[11].text 你這個法官把他交到交到這個國民法官來審理的時候我讓你折抵案件你分案量可以折很少但是你不能中途而廢也不能夠中途停止也不能夠允許被告退出你認罪了然後你呢對這個刑責也沒有意見了和解了他還是不准他退出為什麼你知道嗎因為
transcript.whisperx[12].start 277.884
transcript.whisperx[12].end 302.336
transcript.whisperx[12].text 因為要到判決 國民法官審理到判決結束一個成審法官還可以再減10個分案還可以再折抵10個分案 多香多甜啊可不可以給我一點時間跟委員說一下各法院對於事務分配跟審理國民法官案件跟一般案情事案件的折抵進行 每個法院都不一樣
transcript.whisperx[13].start 304.118
transcript.whisperx[13].end 322.238
transcript.whisperx[13].text 每個法院的分案方式也不一樣你說說看平均分案的時候折抵幾件判決的時候折抵幾件文貴你平均啊你不要在這裡顧左右而言我沒辦法比平均因為每個折抵方式完全不一樣以台中地院為例它是直接分給審判長的
transcript.whisperx[14].start 323.92
transcript.whisperx[14].end 349.073
transcript.whisperx[14].text 那我也跟你講 教你這樣講你不要再教我 第六條 第一項第四款這個規定不好的 有什麼不好符合規定 你們的法官來硬要人家陪你們完成這個國民法官的審判不行國民法官 這是個例外我們不希望由當事人來選擇行國民法官或是不行國民法官所以這由法院來做最終的裁量 更個案的裁量來決定
transcript.whisperx[15].start 350.794
transcript.whisperx[15].end 376.849
transcript.whisperx[15].text 你們其實就是要鼓勵要這個國民參審啦欸 這個問題這麼嚴重耶現在國民法官的問題還不只是這樣子喔現在我問你啦國民法官審理的時候職業法官跟國民法官可以事先閱卷嗎不可以事先閱卷 我們是採取卷證不併送對 卷證不併送 對嘛可是你們的職業法官都已經提早知道卷沒有啊
transcript.whisperx[16].start 380.177
transcript.whisperx[16].end 400.411
transcript.whisperx[16].text 我們還特別在法院組織法第四條之一你們要開庭的時候強制處分庭跟國民法官法庭要把它分開本來審理的法官跟強制處分庭的法官分開沒關係你現在不要說理論的理論上是這樣子但實際上就不是這樣子為什麼要卷證不併送
transcript.whisperx[17].start 401.272
transcript.whisperx[17].end 413.398
transcript.whisperx[17].text 我們就避免偏見跟欲斷對 避免偏見跟欲斷可是呢 法官沒有卷你們在開準備庭程序準備的時候是不是這一個職業法官在開的
transcript.whisperx[18].start 414.861
transcript.whisperx[18].end 416.742
transcript.whisperx[18].text 但是他看不到內容 他只有看到證據的一些清單跟名稱而已 阿伯公 阿伯公你們在準備庭的時候檢察官會開示證據 然後要申請證據調查
transcript.whisperx[19].start 431.351
transcript.whisperx[19].end 434.273
transcript.whisperx[19].text 開示證據是開示給辯護人互相開示這個是證據開示我再問你他要申請證據調查你的職業法官會不會問啊問說啊你這個為什麼要這樣主張否則職業法官怎麼判斷要不要給他看他是根據他的所謂的他主張要申請調查證據他說明證據的關聯性
transcript.whisperx[20].start 452.248
transcript.whisperx[20].end 456.109
transcript.whisperx[20].text 證據的關聯性就會講到案情啊所以你們預斷啊 先入為主啊有心證啊 怎麼不會呢他要判斷要不要給國民法官看是職業法官在決定這個職業法官必須在審理 審查證據之後才把證據提出來交給當場調查證據完畢之後 相關的證據才復卷
transcript.whisperx[21].start 479.96
transcript.whisperx[21].end 487.01
transcript.whisperx[21].text 檢辯會申請要調查證據法官要裁定要不要提供證據給國民法官看法官要怎麼裁定的標準會問他們為什麼需要
transcript.whisperx[22].start 495.186
transcript.whisperx[22].end 517.246
transcript.whisperx[22].text 對 沒錯為什麼需要的時候就會講到關聯性關聯性跟必要性的調查但是不涉及到裡面的內容關聯性 必要性就是資訊你的法官 職業法官就不是空白跟國民法官一樣空白好 為什麼不給國民法官看證據這個要不要給他們看 這個事情很重要
transcript.whisperx[23].start 518.408
transcript.whisperx[23].end 531.279
transcript.whisperx[23].text 有可能啊 某一個被告他做了四份筆錄有沒有可能檢察官申請 我只看兩份有沒有可能這是慎選證據的結果啦 對啊但是檢察官會怎麼慎選證據 你知道嗎他可以把不利於被告的 他可以你常常 我不跟你講喔 你要聽我說我問題要不說 你在搶著干擾我的發言
transcript.whisperx[24].start 542.779
transcript.whisperx[24].end 570.332
transcript.whisperx[24].text 某個被告他做了四份筆錄檢察官有沒有可能把這個不利於這個被告的就申請請求提供要提供這個證據筆錄給這個可能兩份而已給這個國民法官看可是一共有四份他只申請兩份有沒有可能的確有可能那他是不是篩選過的 是
transcript.whisperx[25].start 572.56
transcript.whisperx[25].end 589.967
transcript.whisperx[25].text 那職業法官在審理的時候在那裡他要裁釋 如果職業法官真的不知道沒有看過卷證 他們不知道有幾份嘛他就說好 裁定兩份 可是事實上有四份四份裡面有可能有利於被告的他可能就沒有申請了
transcript.whisperx[26].start 592.191
transcript.whisperx[26].end 596.813
transcript.whisperx[26].text 然後呢 被告你沒有 我訂禮拜來這裡你不會來 所有被告 都簽沒有法官普通法官不該發這種訴訟然後呢 有專報 將近九成都是法服的律師
transcript.whisperx[27].start 607.757
transcript.whisperx[27].end 632.152
transcript.whisperx[27].text 如果檢察官做了四份筆錄把不利於被告的兩份去申請來看了結果呢法服的律師也剛好沒有看到也不知道事實上有四份筆錄所以他沒有去主張那個被告的辯護人他沒有去主張或是他主張了法官不採其他另外兩份要拿出來看的話
transcript.whisperx[28].start 633.297
transcript.whisperx[28].end 651.754
transcript.whisperx[28].text 所以送給國民法官看的證據是職業法官裁的他可能知情也有可能是不知情的他裁定了請問只提供兩份這有沒有可能有篩選過了誤導了國民法官了你證據的提供這個是誤導國民法官的
transcript.whisperx[29].start 657.796
transcript.whisperx[29].end 679.449
transcript.whisperx[29].text 然後誣導國民法官以後國民法官看到兩份而已嘛所以他就判了 他就誤判了然後誤判以後 能不能改判來 能不能改判我們國民法官法對於判決有特殊規定喔特別法有特殊規定 什麼規定來 你可以回答了行國民參與審判的案件
transcript.whisperx[30].start 681.874
transcript.whisperx[30].end 697.568
transcript.whisperx[30].text 他判決以後有什麼特殊規定如果要上訴有什麼特別規定他會違反論理法則經驗法則之後才可以上訴好 你講對了所以前幾天有報紙說國民法官判決的二審都沒有人推翻 廢話因為這是法律強制規定的
transcript.whisperx[31].start 701.744
transcript.whisperx[31].end 708.849
transcript.whisperx[31].text 法律強制規定除了國民法官違背經驗法則或論理法則顯然影響於判決者否則不可以改判
transcript.whisperx[32].start 716.144
transcript.whisperx[32].end 735.604
transcript.whisperx[32].text 不可以改判這個91條 國民法官法 91條跟92條意思是什麼 除非啦 國民法官喔說兇手是女的 結果你判男的有罪這一種才可以改判啦 否則全部不能改判所以我剛剛講啊 我從程序面來講從程序面來講 你們
transcript.whisperx[33].start 740.741
transcript.whisperx[33].end 750.135
transcript.whisperx[33].text 職業法官在準備程序的時候呢在準備程序的時候不管他到底是不知情
transcript.whisperx[34].start 751.311
transcript.whisperx[34].end 770.87
transcript.whisperx[34].text 也有可能是故意包庇啊或是故意的啊知情的他對於這個申請調查證據的時候他可能知道有四個筆錄但他只提供兩個他也有大部分我寧願相信他不知道有四份筆錄所以檢察官申請兩份的時候他就核定了然後呢在這種狀況裡面
transcript.whisperx[35].start 776.144
transcript.whisperx[35].end 794.871
transcript.whisperx[35].text 在這種狀況裡面檢察官一定站在對自己有利嘛未來審判的時候有利於他起訴的這個要件的這個立場去申請調查證據嘛然後辯護律師我來囉辯護律師的問題是什麼法服你們付多少錢法服律師都通常一個案件收多少錢
transcript.whisperx[36].start 796.051
transcript.whisperx[36].end 806.165
transcript.whisperx[36].text 法輔辯護律師一個案件收多少錢我們北法輔他可以複數的委任他可以最多可以辯到三個法輔律師好啦 多少錢啦7萬3千塊7萬3千元是7萬4千元 欸 明年明年
transcript.whisperx[37].start 812.954
transcript.whisperx[37].end 841.03
transcript.whisperx[37].text 10年以上的通通都要適用國民法官法大概會有274件我要講這個喔我講這個是知識體大現在的是重大的殺人死亡的這個案件喔可是明年是10年以上會有什麼案件你知道嗎比如說公務員違背職務收賄明年用在國民法官法的這個審理上面你知道貪賭案件卷宗
transcript.whisperx[38].start 842.216
transcript.whisperx[38].end 851.822
transcript.whisperx[38].text 多非常多 比殺人 酒駕撞死人的卷宗還要多百倍也有可能 數十倍 百倍你們付給人家7萬元你相信更多是3萬 5萬而已 法服的律師他們會花多少時間他們能有多少時間收到3萬 5萬 7萬你不要講那個極端可以一次聘3個的
transcript.whisperx[39].start 870.234
transcript.whisperx[39].end 882.208
transcript.whisperx[39].text 然後呢 仔細看 看得很清楚然後呢他可以充分的為這個被告去辯護所以在這種狀況裡面這個姿勢體大 很嚴重啊上級審 你在
transcript.whisperx[40].start 888.835
transcript.whisperx[40].end 916.825
transcript.whisperx[40].text 申請調查證據的時候法官都不知道是真的不知道還是假的不知道我們說他是真的不知道了真的不知道這個證據有幾份然後就同意檢察官的申請然後呢影響了國民法官然後造成了誤判誤判以後一審以後還不能夠二審不能改判一定要遵照國民法官的審判法律規定不能改判
transcript.whisperx[41].start 917.998
transcript.whisperx[41].end 935.009
transcript.whisperx[41].text 這樣這件事 感到這樣感到都完全不需要檢討的啊 制度都做完畢都不用檢討啊跟委員說明一下我們相信檢察官有客觀義務他對被告有利不利的他都要注意啦你現在不要說這種的啦
transcript.whisperx[42].start 938.769
transcript.whisperx[42].end 962.87
transcript.whisperx[42].text 我現在在說的是這個制度你們不覺得這種制度其實應該可以要討論一下嗎你們現在在這裡就直接強力辯護一路辯護到底你們整個國民法官法你們的施行細則你們沒有訴訟法國民法官的訴訟法你們全部定在施行細則341條多如牛毛而且在裡面都用特別架構
transcript.whisperx[43].start 963.931
transcript.whisperx[43].end 980.329
transcript.whisperx[43].text 然後在施行席則裡面然後呢直接說我排除其他法律的適用這個都已經很荒謬了所以我在講有沒有一種可能啦我幫你們講救濟的方法你不給人家救濟的方法你在制度面執行上真的有可能會有問題喔
transcript.whisperx[44].start 985.575
transcript.whisperx[44].end 994.561
transcript.whisperx[44].text 那你需不需要思考另一種救濟 譬如說被駁回辯方申請調查的可以上訴到二審
transcript.whisperx[45].start 996.738
transcript.whisperx[45].end 1018.868
transcript.whisperx[45].text 對不對比如說你們的這個證據調查的準備程序的時候呢你還有原來的職業法官去決定要什麼東西給國民法官看什麼東西不要這個過程職業法官不會多多少少都形成新證嗎他絕對不會跟國民法官一樣是
transcript.whisperx[46].start 1020.629
transcript.whisperx[46].end 1045.462
transcript.whisperx[46].text 空白的來聽的不會絕對不會你不覺得這種制度在準備程序的時候證據調查的時候有可能你需要配套式讓別組的法官來處理這個準備程序而不是受命要處理這個審理這個個案的法官直接來處理這個準備程序你不覺得
transcript.whisperx[47].start 1047.253
transcript.whisperx[47].end 1057.905
transcript.whisperx[47].text 真真正正職業法官跟國民法官同時接觸到這個案子這樣子才是最好的嗎謝謝委員的指教我可以回答嗎
transcript.whisperx[48].start 1060.973
transcript.whisperx[48].end 1077.753
transcript.whisperx[48].text 就關於剛剛委員左指教的細則340幾條的細則有沒有排除相關的刑事訴訟特別規定事實上如果委員有仔細看國民法官法第四條的它就寫本條有特別規定除本條有特別規定還是適用刑事訴訟或其他的法律規定
transcript.whisperx[49].start 1078.414
transcript.whisperx[49].end 1082.197
transcript.whisperx[49].text 所以在上次委員在質詢的時候有關八十八條你現在算概括性啦全部一句話就全部都排除啊連訴訟程序連訴訟程序你們都訴訟程序都定在這個施行細則裡面施行細則都可以排除母法了不是
transcript.whisperx[50].start 1099.55
transcript.whisperx[50].end 1101.152
transcript.whisperx[50].text 國民法 國民法 國民法國民法國民法國民法國民法國民法國民法國民法國民法
transcript.whisperx[51].start 1124.171
transcript.whisperx[51].end 1142.135
transcript.whisperx[51].text 因為大家我想麻煩那個林委員因為我們今天時間已經超過很多了然後呢明天明天我們正好會繼續開嗎明天而且主要是司法院明天主要就是因為司法院然後我們明天再來對副秘書長也會到明天主要就是司法院
transcript.whisperx[52].start 1142.435
transcript.whisperx[52].end 1146.437
transcript.whisperx[52].text 因為今天其實聽了林委員他針對國民法官制度的問題非常嚴重其實本行有觀察到所以我想很多的議題是不是就留待明天然後再來繼續拷問好不好
transcript.whisperx[53].start 1164.024
transcript.whisperx[53].end 1178.651
transcript.whisperx[53].text 也請聽長剛剛林委員提到的那些建議我們會把陳孝平委員會有提到相關問題需要討論的問題今天都通通提供過來我們把它用書面給委員參考今天通通就都要提供過來了沒問題那我們這些問題明天可以繼續討論好 謝謝謝謝林委員