iVOD / 160605

Field Value
IVOD_ID 160605
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/160605
日期 2025-04-24
會議資料.會議代碼 委員會-11-3-36-11
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11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 11
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11次全體委員會議
影片種類 Clip
開始時間 2025-04-24T09:52:21+08:00
結束時間 2025-04-24T10:05:04+08:00
影片長度 00:12:43
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5e1f7c3e1748c6e52ac18f236a471081aab39e7ea9331c7ec2be5dfb0591b1bf09594e8b99b3c67d5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 沈發惠
委員發言時間 09:52:21 - 10:05:04
會議時間 2025-04-24T09:00:00+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11次全體委員會議(事由:一、併案審查 (一)委員羅智強等25人擬具「刑事訴訟法第一百十六條之二條文修正草案」案。 (二)委員謝衣鳯等16人擬具「刑事訴訟法第一百十六條之二條文修正草案」案。 二、審查委員陳培瑜等16人擬具「刑事訴訟法第一百零一條之一條文修正草案」案。 三、審查委員陳亭妃等16人擬具「刑事訴訟法第四百四十九條及第四百五十一條之一條文修正草案」案。 四、審查委員許智傑等22人擬具「刑事訴訟法第四百四十一條條文修正草案」案。 【僅進行詢答】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 18.67784375
transcript.pyannote[0].end 22.54221875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 23.38596875
transcript.pyannote[1].end 24.29721875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 25.36034375
transcript.pyannote[2].end 26.20409375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 26.81159375
transcript.pyannote[3].end 29.86596875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 27.50346875
transcript.pyannote[4].end 28.02659375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 28.73534375
transcript.pyannote[5].end 29.17409375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 30.32159375
transcript.pyannote[6].end 32.14409375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 30.43971875
transcript.pyannote[7].end 30.91221875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 32.80221875
transcript.pyannote[8].end 34.30409375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 35.36721875
transcript.pyannote[9].end 42.89346875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 43.56846875
transcript.pyannote[10].end 45.17159375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 45.99846875
transcript.pyannote[11].end 51.68534375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 52.10721875
transcript.pyannote[12].end 57.54096875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 58.30034375
transcript.pyannote[13].end 60.37596875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 61.38846875
transcript.pyannote[14].end 66.13034375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 66.72096875
transcript.pyannote[15].end 71.42909375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 69.57284375
transcript.pyannote[16].end 69.75846875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 71.90159375
transcript.pyannote[17].end 76.89659375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 77.31846875
transcript.pyannote[18].end 85.06409375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 85.33409375
transcript.pyannote[19].end 88.35471875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 88.89471875
transcript.pyannote[20].end 91.88159375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 92.86034375
transcript.pyannote[21].end 98.56409375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 99.23909375
transcript.pyannote[22].end 102.68159375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 103.27221875
transcript.pyannote[23].end 104.06534375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 104.62221875
transcript.pyannote[24].end 106.90034375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 107.76096875
transcript.pyannote[25].end 109.41471875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 109.60034375
transcript.pyannote[26].end 113.80221875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 114.84846875
transcript.pyannote[27].end 118.96596875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 119.59034375
transcript.pyannote[28].end 123.69096875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 124.53471875
transcript.pyannote[29].end 125.15909375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 125.59784375
transcript.pyannote[30].end 128.55096875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 129.34409375
transcript.pyannote[31].end 131.20034375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 130.89659375
transcript.pyannote[32].end 146.47221875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 146.62409375
transcript.pyannote[33].end 162.03096875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 158.94284375
transcript.pyannote[34].end 159.51659375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 161.49096875
transcript.pyannote[35].end 161.86221875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 162.03096875
transcript.pyannote[36].end 163.73534375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 164.02221875
transcript.pyannote[37].end 164.03909375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 164.05596875
transcript.pyannote[38].end 165.47346875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 166.06409375
transcript.pyannote[39].end 167.83596875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 168.66284375
transcript.pyannote[40].end 184.66034375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 185.26784375
transcript.pyannote[41].end 190.27971875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 191.02221875
transcript.pyannote[42].end 191.73096875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 192.76034375
transcript.pyannote[43].end 194.68409375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 195.13971875
transcript.pyannote[44].end 218.35971875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 218.74784375
transcript.pyannote[45].end 239.03159375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 239.60534375
transcript.pyannote[46].end 244.43159375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 244.95471875
transcript.pyannote[47].end 245.52846875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 246.77721875
transcript.pyannote[48].end 247.33409375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 247.48596875
transcript.pyannote[49].end 252.51471875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 253.56096875
transcript.pyannote[50].end 254.91096875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 255.92346875
transcript.pyannote[51].end 257.17221875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 257.37471875
transcript.pyannote[52].end 259.97346875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 259.97346875
transcript.pyannote[53].end 266.25096875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 266.33534375
transcript.pyannote[54].end 276.78096875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 277.01721875
transcript.pyannote[55].end 279.22784375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 279.24471875
transcript.pyannote[56].end 279.26159375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 279.37971875
transcript.pyannote[57].end 290.50034375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 289.67346875
transcript.pyannote[58].end 291.51284375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 291.51284375
transcript.pyannote[59].end 293.03159375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 293.03159375
transcript.pyannote[60].end 293.55471875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 293.55471875
transcript.pyannote[61].end 295.36034375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 293.57159375
transcript.pyannote[62].end 293.90909375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 295.02284375
transcript.pyannote[63].end 303.19034375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 303.69659375
transcript.pyannote[64].end 309.36659375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 309.60284375
transcript.pyannote[65].end 314.26034375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 314.98596875
transcript.pyannote[66].end 315.49221875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 315.49221875
transcript.pyannote[67].end 315.50909375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 316.31909375
transcript.pyannote[68].end 322.73159375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 322.73159375
transcript.pyannote[69].end 322.74846875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 323.30534375
transcript.pyannote[70].end 329.22846875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 328.68846875
transcript.pyannote[71].end 335.84346875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 330.86534375
transcript.pyannote[72].end 331.38846875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 335.84346875
transcript.pyannote[73].end 349.68096875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 335.87721875
transcript.pyannote[74].end 336.73784375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 337.02471875
transcript.pyannote[75].end 337.29471875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 338.56034375
transcript.pyannote[76].end 339.58971875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 350.22096875
transcript.pyannote[77].end 362.86034375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 355.53659375
transcript.pyannote[78].end 355.55346875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 355.75596875
transcript.pyannote[79].end 355.82346875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 364.73346875
transcript.pyannote[80].end 369.96471875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 369.96471875
transcript.pyannote[81].end 369.99846875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 370.58909375
transcript.pyannote[82].end 370.62284375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 370.62284375
transcript.pyannote[83].end 376.61346875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 377.17034375
transcript.pyannote[84].end 377.99721875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 378.65534375
transcript.pyannote[85].end 381.45659375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 381.97971875
transcript.pyannote[86].end 386.09721875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 386.26596875
transcript.pyannote[87].end 398.24721875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 392.20596875
transcript.pyannote[88].end 392.67846875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 394.55159375
transcript.pyannote[89].end 394.73721875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 395.00721875
transcript.pyannote[90].end 395.59784375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 398.24721875
transcript.pyannote[91].end 405.18284375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 398.53409375
transcript.pyannote[92].end 399.29346875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 399.96846875
transcript.pyannote[93].end 401.40284375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 405.18284375
transcript.pyannote[94].end 405.87471875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 405.87471875
transcript.pyannote[95].end 409.87409375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 407.89971875
transcript.pyannote[96].end 416.87721875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 417.23159375
transcript.pyannote[97].end 420.35346875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 422.17596875
transcript.pyannote[98].end 422.63159375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 422.91846875
transcript.pyannote[99].end 424.15034375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 424.31909375
transcript.pyannote[100].end 424.99409375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 425.83784375
transcript.pyannote[101].end 426.37784375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 426.79971875
transcript.pyannote[102].end 428.41971875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 429.78659375
transcript.pyannote[103].end 430.98471875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 431.28846875
transcript.pyannote[104].end 446.34096875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 444.34971875
transcript.pyannote[105].end 445.36221875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 446.34096875
transcript.pyannote[106].end 447.35346875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 447.43784375
transcript.pyannote[107].end 465.07221875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 465.07221875
transcript.pyannote[108].end 465.27471875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 465.27471875
transcript.pyannote[109].end 478.70721875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 478.70721875
transcript.pyannote[110].end 482.40284375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 478.72409375
transcript.pyannote[111].end 479.17971875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 482.85846875
transcript.pyannote[112].end 495.43034375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 487.09409375
transcript.pyannote[113].end 487.56659375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 493.25346875
transcript.pyannote[114].end 509.03159375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 499.63221875
transcript.pyannote[115].end 500.05409375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 501.31971875
transcript.pyannote[116].end 501.62346875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 506.71971875
transcript.pyannote[117].end 507.71534375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 509.03159375
transcript.pyannote[118].end 510.65159375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 511.24221875
transcript.pyannote[119].end 518.36346875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 518.09346875
transcript.pyannote[120].end 518.19471875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 518.22846875
transcript.pyannote[121].end 518.29596875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 518.36346875
transcript.pyannote[122].end 521.18159375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 521.18159375
transcript.pyannote[123].end 523.07159375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 521.23221875
transcript.pyannote[124].end 523.12221875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 523.12221875
transcript.pyannote[125].end 523.17284375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 523.29096875
transcript.pyannote[126].end 523.47659375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 523.98284375
transcript.pyannote[127].end 530.54721875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 531.49221875
transcript.pyannote[128].end 536.57159375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 531.50909375
transcript.pyannote[129].end 532.13346875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 534.78284375
transcript.pyannote[130].end 543.82784375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 540.13221875
transcript.pyannote[131].end 540.50346875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 544.50284375
transcript.pyannote[132].end 549.56534375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 544.51971875
transcript.pyannote[133].end 544.94159375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 546.08909375
transcript.pyannote[134].end 546.40971875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 547.82721875
transcript.pyannote[135].end 554.08784375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 549.88596875
transcript.pyannote[136].end 551.52284375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 553.15971875
transcript.pyannote[137].end 553.42971875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 554.08784375
transcript.pyannote[138].end 564.93846875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 565.34346875
transcript.pyannote[139].end 568.88721875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 568.93784375
transcript.pyannote[140].end 575.46846875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 576.21096875
transcript.pyannote[141].end 591.11159375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 591.39846875
transcript.pyannote[142].end 603.36284375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 603.97034375
transcript.pyannote[143].end 605.06721875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 605.70846875
transcript.pyannote[144].end 606.33284375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 608.03721875
transcript.pyannote[145].end 610.06221875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 610.34909375
transcript.pyannote[146].end 611.37846875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 612.47534375
transcript.pyannote[147].end 613.45409375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 613.85909375
transcript.pyannote[148].end 614.43284375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 615.31034375
transcript.pyannote[149].end 623.88284375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 623.98409375
transcript.pyannote[150].end 625.68846875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 625.94159375
transcript.pyannote[151].end 628.91159375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 629.35034375
transcript.pyannote[152].end 639.69471875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 640.35284375
transcript.pyannote[153].end 650.95034375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 651.01784375
transcript.pyannote[154].end 651.05159375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 651.08534375
transcript.pyannote[155].end 652.14846875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 652.51971875
transcript.pyannote[156].end 663.16784375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 663.94409375
transcript.pyannote[157].end 667.92659375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 668.38221875
transcript.pyannote[158].end 670.62659375
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 671.33534375
transcript.pyannote[159].end 672.24659375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 673.42784375
transcript.pyannote[160].end 676.88721875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 677.59596875
transcript.pyannote[161].end 680.07659375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 680.65034375
transcript.pyannote[162].end 695.44971875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 696.58034375
transcript.pyannote[163].end 704.24159375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 704.73096875
transcript.pyannote[164].end 715.26096875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 715.96971875
transcript.pyannote[165].end 717.72471875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 718.50096875
transcript.pyannote[166].end 719.07471875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 720.03659375
transcript.pyannote[167].end 722.77034375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 723.25971875
transcript.pyannote[168].end 725.53784375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 726.07784375
transcript.pyannote[169].end 741.41721875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 742.17659375
transcript.pyannote[170].end 746.53034375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 746.68221875
transcript.pyannote[171].end 747.15471875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 748.09971875
transcript.pyannote[172].end 748.99409375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 749.36534375
transcript.pyannote[173].end 751.44096875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 751.94721875
transcript.pyannote[174].end 756.18284375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 756.97596875
transcript.pyannote[175].end 762.03846875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 762.25784375
transcript.pyannote[176].end 763.08471875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 763.67534375
transcript.pyannote[177].end 763.96221875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 763.96221875
transcript.pyannote[178].end 764.29971875
transcript.whisperx[0].start 19.04
transcript.whisperx[0].end 42.465
transcript.whisperx[0].text 主席我們請黃副秘書長副秘書長法務部要嗎?先請副秘書長副秘書長,謝謝委員早安副秘書長早安我們今天回到我們今天的所列議程我們今天總共刑事訴訟法有四個法條的修法
transcript.whisperx[1].start 43.649
transcript.whisperx[1].end 65.543
transcript.whisperx[1].text 那這個我都看了這個我們司法院,包括法務部的這個相關的報告,書面報告大概了解說,了解了我們司法院跟法務部對這四個法條修法的態度那這裡面有一些部分我可能就要跟這個,那我們請法務部跟次長一起上來
transcript.whisperx[2].start 66.846
transcript.whisperx[2].end 87.839
transcript.whisperx[2].text 有一些部分可能要跟我們來做一些討論第一個我們就一條一條來針對這個刑事訴訟法第116條第二項之二第一項第六款的修正這個主要是在這個增訂有關這個這個羈押替代處分裡面有關這個這個護照文件的這個
transcript.whisperx[3].start 92.955
transcript.whisperx[3].end 113.11
transcript.whisperx[3].text 相關的這個條件,加以這個他的拘束力以後來強化所以在過去原本是法院的通知主管機關就是就是不予合法護照那我是不是這個我看到這個提案人的提案說明,他就提到說過去
transcript.whisperx[4].start 115.095
transcript.whisperx[4].end 124.665
transcript.whisperx[4].text 過去這個我們現在目前台灣有八萬名的通緝犯登記在案其中出境紀錄超過八千人這個狀況是這樣的描述是確實的嗎這樣的數字
transcript.whisperx[5].start 132.422
transcript.whisperx[5].end 146.209
transcript.whisperx[5].text 通緝犯人數現在本部大概是偵查執行中大概1萬多人偵查中大概3萬多人當然還有審判中大概約1萬人左右這個加起來大概6萬人左右至於就是說
transcript.whisperx[6].start 147.289
transcript.whisperx[6].end 167.402
transcript.whisperx[6].text 潛逃海外八千的部分他事實上因為潛逃海外原因很多他也許是拿雙重護照出去的他也許是非法出境的所以事實上就這個潛逃在外的人數事實上沒有辦法估計啦所以這個報告大概是警政署他預估的一個數字倒是不是個確確的數字那這個過去齁我想這個修法齁基本上
transcript.whisperx[7].start 169
transcript.whisperx[7].end 185.87
transcript.whisperx[7].text 這個我看我看這個我們法務部跟司法院報告大概都基本上都支持這樣子的修法也是認為說把這個原本是是法院的通知主管機關不以核發那現在這個這個把它增列說的這個通知主管機關這個與廢止並註銷廢止並註銷那這個
transcript.whisperx[8].start 193.633
transcript.whisperx[8].end 217.898
transcript.whisperx[8].text 這個過去的狀況好像以我的了解就是我們要他交出護照的時候他會說他的護照遺失了或者他的護照遺失了找不到了或者是他的護照已經嚴重毀損了還是說他根本沒有護照他說這樣沒有交但是事實上轉身就拿著護照就出國了那這裡面這個修法就是為了防堵
transcript.whisperx[9].start 219.034
transcript.whisperx[9].end 241.919
transcript.whisperx[9].text 類似像這樣狀況但是以現在的狀況而言他可能不只是修法的問題啊我們現在目前我們這個到底是怎麼樣運作的我們現行的實務運作我們法院是怎麼樣通知主管機關我們怎麼通知外交部說這個他的你不應該不予核發他護照我們是用這個韓文通知呢還是我們有一個系統有跟外交部有一個系統就是我這邊這邊這邊說給他這個這個
transcript.whisperx[10].start 247
transcript.whisperx[10].end 254.096
transcript.whisperx[10].text 據保這個這個替代性的羈押替代性處分之後我們怎麼樣通知這個外交部現在現行實務運作
transcript.whisperx[11].start 255.99
transcript.whisperx[11].end 277.522
transcript.whisperx[11].text 是韓文通知嗎?還是我們有沒有建設一個系統就是說我可以即時的目前應該是用韓文啦他目前應該是沒有一個資訊上的一個嫁接的一個串聯對我們有一個資訊上嫁接的這個系統我們用韓文的方式啦常常是在這個韓文的中間的這個韓文的時間他有一個時間差嘛那個時間差造成這個細胞潛逃的狀況
transcript.whisperx[12].start 279.443
transcript.whisperx[12].end 302.939
transcript.whisperx[12].text 但是這個在實務上也許可以透過我們限制出境我們也是透過航運另外一個傳真的方式現實的迅速的傳到相關的機關現在實務上是這樣做嗎?對,限制出境的時候是這樣做我的意思就是說如果現在現行的做法這樣子它就是有漏洞那即使我們今天修法修了
transcript.whisperx[13].start 304.381
transcript.whisperx[13].end 313.017
transcript.whisperx[13].text 我們要通知外交部要廢止並且註銷他的護照那一樣如果有這樣子一樣用韓文的方式一樣有這樣的時間差在啊
transcript.whisperx[14].start 316.765
transcript.whisperx[14].end 337.999
transcript.whisperx[14].text 那如果檢察官他並同做限制出境,我們就直接傳證給移民署,他就出不去啦那為什麼現在會可以繫保險,然後為什麼可以持護照他如果他已經被限制出境的話,這個人基本上他是沒辦法出境,除非他有非法出境我現在不談非法出境啦,我們現在這個是在防堵
transcript.whisperx[15].start 341.641
transcript.whisperx[15].end 362.624
transcript.whisperx[15].text 今天的修法是在防堵過去是我們不予核發就是說我不能說遺失了然後你現在不能夠再核發他一本護照但是現在我們修法之後說我們就可以把他護照廢止並註銷這個情況修法之後如果說我們目前實務運作的方式沒有改變他的漏洞依然在是不是
transcript.whisperx[16].start 364.687
transcript.whisperx[16].end 366.229
transcript.whisperx[16].text 我看到你們的報告裡面提到廢止並註銷你們有特別提到說
transcript.whisperx[17].start 378.72
transcript.whisperx[17].end 393.334
transcript.whisperx[17].text 你們的用語是說他會把這個混淆行政處分跟行政作業是法律性質市長你這部分你有看到嗎有那你是不是說明因為這我看不太懂就是說我知道說註銷是一個行政作業廢紙是一個
transcript.whisperx[18].start 397.297
transcript.whisperx[18].end 419.104
transcript.whisperx[18].text 行政處分廢紙行政處分廢紙它合法護照這個行為基本上是外交部的一個行政處分對我知道註銷它基本上是一個登記對它是一個行政作業但是護照條例的第25條護照條例第25條它原本的用語它就是說持照人有前兩況情況之下應與廢紙是處分並註銷
transcript.whisperx[19].start 428.126
transcript.whisperx[19].end 446.034
transcript.whisperx[19].text 並註銷該護照他並不會混淆啊只是我們希望他做兩個動作我們希望他做一個廢止行政處分的動作跟一個行政作業必須並行你們這樣子提在這個書面意見這樣提的意思是說你們應該把並註銷不用提我們只要提廢止就好註銷讓外交部自己去
transcript.whisperx[20].start 446.474
transcript.whisperx[20].end 464.82
transcript.whisperx[20].text 各位報告護照條例25條它是廢紙處分並註銷那是基本上是外交部他所做的行政處分那現在我們16-2我們如果我們加一個檢查機關或法院通知他廢紙的話會變成他的行政處分是依照我們檢查官或法院所下的命令所做的
transcript.whisperx[21].start 465.46
transcript.whisperx[21].end 482.001
transcript.whisperx[21].text 那未來在行政就地上會產生一些混淆我們擔心這樣我們希望行政處分就由外交部自己職權去發動而不是透過一個多階段的行政處分我們給他個order他才按照我們的命令去做處分所以像你這樣的說法是要把這樣子的條件
transcript.whisperx[22].start 483.172
transcript.whisperx[22].end 510.304
transcript.whisperx[22].text 條件列到護照條例裡面去嗎我們希望就是說就是說不應該你的意思是說不用在刑事執行法裡面修因為你在刑事執行法裡面修就是由檢察官做我們擔心未來行政上救濟上會產生行政處分它會變成多階段的行政處分對會誕生這樣多階段的行政處分其實對未來救濟的話制度的話會產生一些混淆所以我們希望由外交部自己做一個行政處分所以
transcript.whisperx[23].start 511.348
transcript.whisperx[23].end 530.36
transcript.whisperx[23].text 所以這樣子的修法在刑事訴訟法裡面修法你覺得這樣子修是不好的修法我們怕有這個疑慮所以未來可以討論討論是怎麼樣我們比較贊成就是我們希望能夠註銷但是由外交部自己去發動他的行政處分
transcript.whisperx[24].start 531.781
transcript.whisperx[24].end 543.644
transcript.whisperx[24].text 註銷是行政作業啊行政處分是廢紙我們要求他廢紙外交部自己做一個廢紙的行政處分而不是因為我們要他做廢紙的行政處分
transcript.whisperx[25].start 545.912
transcript.whisperx[25].end 564.249
transcript.whisperx[25].text 所以你認為這樣子的修法是不妥的因為他們會變成多階段的行政處分我們不希望透過一個多階段的行政處分去處理這個事情好我大概了解了這樣我大概就知道你們所講的這句話的意思了好那接下來你看我這邊有四條一條就已經花掉我所有的時間了
transcript.whisperx[26].start 565.444
transcript.whisperx[26].end 573.921
transcript.whisperx[26].text 接下來我們看第101條之一大概我們就是規範有關預防性羈押的原因這個增列這個兒少
transcript.whisperx[27].start 576.938
transcript.whisperx[27].end 603.219
transcript.whisperx[27].text 這個兒少性剝削防治法的這個條例啦齁那這個部分我大概有幾個跟大概這個我們法務部製法院看法類似的這個我們都肯定支持啦齁但第一個在這個立法理由裡面用媒體報導當作立法理由這個倒是我個人是認為說這個我們如果立法真的要通過的話立法理由應該要做修改啦齁這沒有說用媒體報導做立法理由的
transcript.whisperx[28].start 604.025
transcript.whisperx[28].end 613.117
transcript.whisperx[28].text 再來就是就是你們也提到了在這個檢疫在這個它相同的這個
transcript.whisperx[29].start 615.373
transcript.whisperx[29].end 638.364
transcript.whisperx[29].text 有在兒少跟性剝削條例裡面他有其他除了今天除了他這個修法所列的之外這個三十六條第四他還有其他的這些相關的其他樣態的犯罪他並沒有列入啦那不只是這個兒少性剝削防治條例啦刑法裡面有其他的這些相關的他也都沒有列入啦那這個
transcript.whisperx[30].start 640.625
transcript.whisperx[30].end 665.283
transcript.whisperx[30].text 這部分我是覺得我們因為我們今天大概只有詢答我們今天不會進行審理我是希望說法務部是不是就這個部分我們下次當我們開始進行審理的時候能夠提出我們法務部對於就相關的其他的這些這個同樣性剝削條例兒少性剝削條例裡面的其他的樣態跟這刑法的其他的條件都能夠納入那最後再一點時間就是有關這個
transcript.whisperx[31].start 668.653
transcript.whisperx[31].end 695.006
transcript.whisperx[31].text 檢疫輸送程序449條這部分齁我最大的疑問齁可能到時候要請你們說明是這個這個我看這個委員的提案齁這個我仔細的比對了之後跟你們110年1月5號你們行政院跟司法院會嫌送進立法院我們已經在立法院在110年2月26號完成一讀的條文是一模一樣啦
transcript.whisperx[32].start 696.636
transcript.whisperx[32].end 718.844
transcript.whisperx[32].text 一模一樣應該是一字不差啦,一模一樣的那當初你們會嫌送進來讓立法院做了一讀了那現在委員提相同文,因為屆期不連續所以現在委員又提相同的完全一樣的文字進來結果我看司法院,我看法務部我們的這個書面意見全部都不贊成
transcript.whisperx[33].start 720.083
transcript.whisperx[33].end 744.991
transcript.whisperx[33].text 全部都不是說不贊成啦 說請再審酌啦你們的用語是請再審酌那這個就這個部分可能你們到時候我們審查的時候你們要說明清楚為什麼在110年的時候你們送進來的文字現在一模一樣的文字進來你們就說這個有疑慮請再審酌當初是你們請立法院函請立法院來修正的現在你們又說又變成有疑慮了
transcript.whisperx[34].start 748.277
transcript.whisperx[34].end 752.824
transcript.whisperx[34].text 現在所有的這些理由現在都已經法律通過了這部分在到時候審理的時候我們希望你們能夠就這個部分能夠講清楚