iVOD / 163054

Field Value
IVOD_ID 163054
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/163054
日期 2025-07-10
會議資料.會議代碼 全院委員會-11-3-4
會議資料.會議代碼:str 第11屆第3會期第4次全院委員會會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 4
會議資料.種類 全院委員會
會議資料.標題 第11屆第3會期第4次全院委員會會議
影片種類 Clip
開始時間 2025-07-10T17:18:59+08:00
結束時間 2025-07-10T17:39:20+08:00
影片長度 00:20:21
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/2bb0d0af414fb209682514952f9c5556cb5545a92025017dae43aa70883b95be4040d5881116b2055ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 蘇清泉
委員發言時間 17:18:59 - 17:39:20
會議時間 2025-07-10T09:00:00+08:00
會議名稱 第11屆第3會期第4次全院委員會會議(事由:總統咨,為司法院大法官含院長、副院長,現有缺額7名,茲依據中華民國憲法增修條文第5條規定,提名蔡秋明、蘇素娥、蕭文生、鄭純惠、林麗瑩、陳慈陽、詹鎮榮7位為司法院大法官,並以蔡秋明為院長、蘇素娥為副院長,咨請同意案。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 2.03909375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 2.03909375
transcript.pyannote[1].end 2.46096875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 7.35471875
transcript.pyannote[2].end 7.87784375
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 10.83096875
transcript.pyannote[3].end 12.80534375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 13.15971875
transcript.pyannote[4].end 16.19721875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 17.04096875
transcript.pyannote[5].end 20.98971875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 21.59721875
transcript.pyannote[6].end 22.74471875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 32.53221875
transcript.pyannote[7].end 35.45159375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 35.45159375
transcript.pyannote[8].end 35.97471875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 36.16034375
transcript.pyannote[9].end 38.37096875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 39.16409375
transcript.pyannote[10].end 44.10846875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 44.36159375
transcript.pyannote[11].end 47.73659375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 48.24284375
transcript.pyannote[12].end 49.79534375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 50.48721875
transcript.pyannote[13].end 53.99721875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 56.20784375
transcript.pyannote[14].end 57.97971875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 59.38034375
transcript.pyannote[15].end 60.76409375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 60.91596875
transcript.pyannote[16].end 63.68346875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 64.74659375
transcript.pyannote[17].end 65.82659375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 66.07971875
transcript.pyannote[18].end 68.50971875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 69.28596875
transcript.pyannote[19].end 72.05346875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 72.54284375
transcript.pyannote[20].end 73.48784375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 74.38221875
transcript.pyannote[21].end 75.58034375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 75.95159375
transcript.pyannote[22].end 76.52534375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 77.38596875
transcript.pyannote[23].end 79.90034375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 81.09846875
transcript.pyannote[24].end 83.10659375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 83.24159375
transcript.pyannote[25].end 86.53221875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 87.34221875
transcript.pyannote[26].end 89.53596875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 89.94096875
transcript.pyannote[27].end 93.14721875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 93.88971875
transcript.pyannote[28].end 103.32284375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 104.03159375
transcript.pyannote[29].end 110.10659375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 111.25409375
transcript.pyannote[30].end 117.00846875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 118.35846875
transcript.pyannote[31].end 120.23159375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 120.58596875
transcript.pyannote[32].end 135.84096875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 135.92534375
transcript.pyannote[33].end 168.62909375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 168.93284375
transcript.pyannote[34].end 183.02346875
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 183.27659375
transcript.pyannote[35].end 185.13284375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 185.14971875
transcript.pyannote[36].end 190.33034375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 190.44846875
transcript.pyannote[37].end 221.73471875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 221.27909375
transcript.pyannote[38].end 226.05471875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 226.51034375
transcript.pyannote[39].end 233.19284375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 233.49659375
transcript.pyannote[40].end 236.56784375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 237.90096875
transcript.pyannote[41].end 238.94721875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 239.77409375
transcript.pyannote[42].end 240.70221875
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 241.66409375
transcript.pyannote[43].end 249.12284375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 249.93284375
transcript.pyannote[44].end 255.36659375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 255.65346875
transcript.pyannote[45].end 256.36221875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 256.66596875
transcript.pyannote[46].end 257.67846875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 258.25221875
transcript.pyannote[47].end 258.99471875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 259.18034375
transcript.pyannote[48].end 262.60596875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 263.90534375
transcript.pyannote[49].end 264.58034375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 265.30596875
transcript.pyannote[50].end 267.58409375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 266.41971875
transcript.pyannote[51].end 267.88784375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 269.15346875
transcript.pyannote[52].end 272.37659375
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 276.20721875
transcript.pyannote[53].end 277.60784375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 278.26596875
transcript.pyannote[54].end 278.56971875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 279.27846875
transcript.pyannote[55].end 280.76346875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 281.52284375
transcript.pyannote[56].end 281.92784375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 283.96971875
transcript.pyannote[57].end 289.77471875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 290.28096875
transcript.pyannote[58].end 295.96784375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 296.32221875
transcript.pyannote[59].end 296.79471875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 297.26721875
transcript.pyannote[60].end 298.39784375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 298.83659375
transcript.pyannote[61].end 299.30909375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 299.86596875
transcript.pyannote[62].end 304.82721875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 305.36721875
transcript.pyannote[63].end 311.10471875
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 312.28596875
transcript.pyannote[64].end 314.59784375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 314.96909375
transcript.pyannote[65].end 316.31909375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 316.67346875
transcript.pyannote[66].end 318.32721875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 318.91784375
transcript.pyannote[67].end 323.50784375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 323.98034375
transcript.pyannote[68].end 331.33784375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 331.82721875
transcript.pyannote[69].end 334.03784375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 335.01659375
transcript.pyannote[70].end 336.56909375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 337.46346875
transcript.pyannote[71].end 340.31534375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 340.65284375
transcript.pyannote[72].end 342.27284375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 343.06596875
transcript.pyannote[73].end 343.99409375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 344.23034375
transcript.pyannote[74].end 348.48284375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 348.78659375
transcript.pyannote[75].end 365.13846875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 365.57721875
transcript.pyannote[76].end 387.70034375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 388.05471875
transcript.pyannote[77].end 393.91034375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 394.28159375
transcript.pyannote[78].end 407.07284375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 406.24596875
transcript.pyannote[79].end 408.77721875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 409.50284375
transcript.pyannote[80].end 410.90346875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 411.24096875
transcript.pyannote[81].end 414.70034375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 415.13909375
transcript.pyannote[82].end 423.84659375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 424.70721875
transcript.pyannote[83].end 426.25971875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 427.00221875
transcript.pyannote[84].end 430.63034375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 430.88346875
transcript.pyannote[85].end 437.17784375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 431.17034375
transcript.pyannote[86].end 431.22096875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 438.13971875
transcript.pyannote[87].end 439.75971875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 439.96221875
transcript.pyannote[88].end 442.89846875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 443.50596875
transcript.pyannote[89].end 445.15971875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 446.61096875
transcript.pyannote[90].end 448.73721875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 449.12534375
transcript.pyannote[91].end 452.56784375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 449.15909375
transcript.pyannote[92].end 449.68221875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 452.97284375
transcript.pyannote[93].end 454.37346875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 454.87971875
transcript.pyannote[94].end 458.91284375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 459.50346875
transcript.pyannote[95].end 460.76909375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 461.30909375
transcript.pyannote[96].end 463.03034375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 463.51971875
transcript.pyannote[97].end 466.27034375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 466.52346875
transcript.pyannote[98].end 471.13034375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 471.51846875
transcript.pyannote[99].end 474.58971875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 475.18034375
transcript.pyannote[100].end 485.55846875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 486.18284375
transcript.pyannote[101].end 487.92096875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 488.15721875
transcript.pyannote[102].end 489.74346875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 490.28346875
transcript.pyannote[103].end 490.55346875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 490.73909375
transcript.pyannote[104].end 499.27784375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 499.76721875
transcript.pyannote[105].end 500.99909375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 501.70784375
transcript.pyannote[106].end 502.68659375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 503.29409375
transcript.pyannote[107].end 507.64784375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 508.03596875
transcript.pyannote[108].end 509.23409375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 509.92596875
transcript.pyannote[109].end 511.22534375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 511.84971875
transcript.pyannote[110].end 514.60034375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 515.35971875
transcript.pyannote[111].end 524.38784375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 524.82659375
transcript.pyannote[112].end 526.61534375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 526.98659375
transcript.pyannote[113].end 531.39096875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 531.99846875
transcript.pyannote[114].end 542.17409375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 542.71409375
transcript.pyannote[115].end 545.58284375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 545.19471875
transcript.pyannote[116].end 547.13534375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 546.25784375
transcript.pyannote[117].end 547.00034375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 547.06784375
transcript.pyannote[118].end 557.37846875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 557.80034375
transcript.pyannote[119].end 560.14596875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 559.53846875
transcript.pyannote[120].end 564.68534375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 565.17471875
transcript.pyannote[121].end 572.00909375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 572.43096875
transcript.pyannote[122].end 573.03846875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 574.16909375
transcript.pyannote[123].end 575.02971875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 575.48534375
transcript.pyannote[124].end 577.22346875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 577.62846875
transcript.pyannote[125].end 580.31159375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 580.96971875
transcript.pyannote[126].end 581.61096875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 581.84721875
transcript.pyannote[127].end 583.87221875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 585.59346875
transcript.pyannote[128].end 585.74534375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 585.94784375
transcript.pyannote[129].end 588.24284375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 588.78284375
transcript.pyannote[130].end 589.86284375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 590.20034375
transcript.pyannote[131].end 596.79846875
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 597.62534375
transcript.pyannote[132].end 598.48596875
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 598.77284375
transcript.pyannote[133].end 602.70471875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 603.34596875
transcript.pyannote[134].end 606.34971875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 607.32846875
transcript.pyannote[135].end 610.56846875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 611.34471875
transcript.pyannote[136].end 612.62721875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 613.45409375
transcript.pyannote[137].end 614.28096875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 615.19221875
transcript.pyannote[138].end 617.13284375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 618.98909375
transcript.pyannote[139].end 619.49534375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 619.52909375
transcript.pyannote[140].end 619.54596875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 619.54596875
transcript.pyannote[141].end 621.03096875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 619.68096875
transcript.pyannote[142].end 620.17034375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 621.95909375
transcript.pyannote[143].end 659.50596875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 659.82659375
transcript.pyannote[144].end 660.92346875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 659.84346875
transcript.pyannote[145].end 665.74971875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 666.03659375
transcript.pyannote[146].end 667.53846875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 667.53846875
transcript.pyannote[147].end 668.07846875
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 667.85909375
transcript.pyannote[148].end 668.51721875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 668.97284375
transcript.pyannote[149].end 682.70909375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 683.41784375
transcript.pyannote[150].end 685.30784375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 686.05034375
transcript.pyannote[151].end 687.36659375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 688.44659375
transcript.pyannote[152].end 689.02034375
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 690.23534375
transcript.pyannote[153].end 693.20534375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 693.81284375
transcript.pyannote[154].end 695.34846875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 695.09534375
transcript.pyannote[155].end 697.79534375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 697.96409375
transcript.pyannote[156].end 701.57534375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 701.81159375
transcript.pyannote[157].end 704.54534375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 705.05159375
transcript.pyannote[158].end 709.43909375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 710.41784375
transcript.pyannote[159].end 712.57784375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 713.35409375
transcript.pyannote[160].end 714.29909375
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 713.38784375
transcript.pyannote[161].end 716.64471875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 715.56471875
transcript.pyannote[162].end 720.77909375
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 720.99846875
transcript.pyannote[163].end 721.01534375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 721.01534375
transcript.pyannote[164].end 721.09971875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 721.60596875
transcript.pyannote[165].end 722.02784375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 722.85471875
transcript.pyannote[166].end 722.87159375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 722.87159375
transcript.pyannote[167].end 723.17534375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 722.90534375
transcript.pyannote[168].end 723.44534375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 725.52096875
transcript.pyannote[169].end 726.43221875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 727.19159375
transcript.pyannote[170].end 728.28846875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 728.72721875
transcript.pyannote[171].end 729.48659375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 730.76909375
transcript.pyannote[172].end 732.72659375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 732.79409375
transcript.pyannote[173].end 736.62471875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 737.45159375
transcript.pyannote[174].end 738.64971875
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 739.34159375
transcript.pyannote[175].end 741.34971875
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 741.48471875
transcript.pyannote[176].end 744.21846875
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 744.47159375
transcript.pyannote[177].end 746.91846875
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 747.89721875
transcript.pyannote[178].end 749.19659375
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 749.90534375
transcript.pyannote[179].end 752.16659375
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 752.41971875
transcript.pyannote[180].end 753.34784375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 753.53346875
transcript.pyannote[181].end 754.12409375
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 753.92159375
transcript.pyannote[182].end 755.18721875
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 755.92971875
transcript.pyannote[183].end 758.62971875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 759.45659375
transcript.pyannote[184].end 762.61221875
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 763.11846875
transcript.pyannote[185].end 763.94534375
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 764.70471875
transcript.pyannote[186].end 766.54409375
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 767.26971875
transcript.pyannote[187].end 769.73346875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 770.00346875
transcript.pyannote[188].end 770.86409375
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 771.15096875
transcript.pyannote[189].end 773.44596875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 774.05346875
transcript.pyannote[190].end 776.26409375
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 776.58471875
transcript.pyannote[191].end 780.48284375
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 780.95534375
transcript.pyannote[192].end 783.21659375
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 783.60471875
transcript.pyannote[193].end 784.04346875
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 784.73534375
transcript.pyannote[194].end 790.67534375
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 790.69221875
transcript.pyannote[195].end 790.70909375
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 790.72596875
transcript.pyannote[196].end 792.36284375
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 792.78471875
transcript.pyannote[197].end 795.51846875
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 795.58596875
transcript.pyannote[198].end 800.09159375
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 801.00284375
transcript.pyannote[199].end 803.93909375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 804.02346875
transcript.pyannote[200].end 807.90471875
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 808.15784375
transcript.pyannote[201].end 815.02596875
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 815.29596875
transcript.pyannote[202].end 817.03409375
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 817.11846875
transcript.pyannote[203].end 824.37471875
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 825.26909375
transcript.pyannote[204].end 834.17909375
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 834.55034375
transcript.pyannote[205].end 841.65471875
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 841.77284375
transcript.pyannote[206].end 865.71846875
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 850.42971875
transcript.pyannote[207].end 850.54784375
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 859.82909375
transcript.pyannote[208].end 860.23409375
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 865.54971875
transcript.pyannote[209].end 871.27034375
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 872.19846875
transcript.pyannote[210].end 873.17721875
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 874.45971875
transcript.pyannote[211].end 879.04971875
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 879.38721875
transcript.pyannote[212].end 880.53471875
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 881.41221875
transcript.pyannote[213].end 883.70721875
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 885.41159375
transcript.pyannote[214].end 886.59284375
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 886.99784375
transcript.pyannote[215].end 893.32596875
transcript.pyannote[216].speaker SPEAKER_02
transcript.pyannote[216].start 893.66346875
transcript.pyannote[216].end 895.92471875
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 896.48159375
transcript.pyannote[217].end 898.79346875
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 899.14784375
transcript.pyannote[218].end 900.24471875
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 901.59471875
transcript.pyannote[219].end 902.15159375
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 902.64096875
transcript.pyannote[220].end 907.09596875
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 907.72034375
transcript.pyannote[221].end 912.46221875
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 913.47471875
transcript.pyannote[222].end 919.95471875
transcript.pyannote[223].speaker SPEAKER_02
transcript.pyannote[223].start 920.52846875
transcript.pyannote[223].end 922.78971875
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 922.94159375
transcript.pyannote[224].end 925.59096875
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 926.68784375
transcript.pyannote[225].end 928.34159375
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 929.69159375
transcript.pyannote[226].end 930.31596875
transcript.pyannote[227].speaker SPEAKER_00
transcript.pyannote[227].start 931.24409375
transcript.pyannote[227].end 934.48409375
transcript.pyannote[228].speaker SPEAKER_00
transcript.pyannote[228].start 934.78784375
transcript.pyannote[228].end 941.11596875
transcript.pyannote[229].speaker SPEAKER_00
transcript.pyannote[229].start 941.36909375
transcript.pyannote[229].end 949.21596875
transcript.pyannote[230].speaker SPEAKER_00
transcript.pyannote[230].start 949.77284375
transcript.pyannote[230].end 950.76846875
transcript.pyannote[231].speaker SPEAKER_00
transcript.pyannote[231].start 951.17346875
transcript.pyannote[231].end 953.19846875
transcript.pyannote[232].speaker SPEAKER_00
transcript.pyannote[232].start 953.40096875
transcript.pyannote[232].end 961.55159375
transcript.pyannote[233].speaker SPEAKER_00
transcript.pyannote[233].start 961.56846875
transcript.pyannote[233].end 963.23909375
transcript.pyannote[234].speaker SPEAKER_00
transcript.pyannote[234].start 963.49221875
transcript.pyannote[234].end 975.33846875
transcript.pyannote[235].speaker SPEAKER_00
transcript.pyannote[235].start 975.86159375
transcript.pyannote[235].end 982.67909375
transcript.pyannote[236].speaker SPEAKER_00
transcript.pyannote[236].start 983.33721875
transcript.pyannote[236].end 984.88971875
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 985.17659375
transcript.pyannote[237].end 986.02034375
transcript.pyannote[238].speaker SPEAKER_00
transcript.pyannote[238].start 986.42534375
transcript.pyannote[238].end 987.85971875
transcript.pyannote[239].speaker SPEAKER_02
transcript.pyannote[239].start 987.35346875
transcript.pyannote[239].end 992.26409375
transcript.pyannote[240].speaker SPEAKER_00
transcript.pyannote[240].start 989.91846875
transcript.pyannote[240].end 992.34846875
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 992.34846875
transcript.pyannote[241].end 995.65596875
transcript.pyannote[242].speaker SPEAKER_02
transcript.pyannote[242].start 996.55034375
transcript.pyannote[242].end 1001.74784375
transcript.pyannote[243].speaker SPEAKER_02
transcript.pyannote[243].start 1002.23721875
transcript.pyannote[243].end 1007.50221875
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 1007.67096875
transcript.pyannote[244].end 1009.89846875
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 1010.33721875
transcript.pyannote[245].end 1011.85596875
transcript.pyannote[246].speaker SPEAKER_02
transcript.pyannote[246].start 1012.51409375
transcript.pyannote[246].end 1015.66971875
transcript.pyannote[247].speaker SPEAKER_02
transcript.pyannote[247].start 1018.89284375
transcript.pyannote[247].end 1020.07409375
transcript.pyannote[248].speaker SPEAKER_02
transcript.pyannote[248].start 1020.61409375
transcript.pyannote[248].end 1024.41096875
transcript.pyannote[249].speaker SPEAKER_02
transcript.pyannote[249].start 1024.91721875
transcript.pyannote[249].end 1029.69284375
transcript.pyannote[250].speaker SPEAKER_00
transcript.pyannote[250].start 1030.78971875
transcript.pyannote[250].end 1035.27846875
transcript.pyannote[251].speaker SPEAKER_02
transcript.pyannote[251].start 1030.92471875
transcript.pyannote[251].end 1031.19471875
transcript.pyannote[252].speaker SPEAKER_00
transcript.pyannote[252].start 1035.48096875
transcript.pyannote[252].end 1043.26034375
transcript.pyannote[253].speaker SPEAKER_00
transcript.pyannote[253].start 1043.56409375
transcript.pyannote[253].end 1057.51971875
transcript.pyannote[254].speaker SPEAKER_02
transcript.pyannote[254].start 1057.51971875
transcript.pyannote[254].end 1061.13096875
transcript.pyannote[255].speaker SPEAKER_00
transcript.pyannote[255].start 1062.93659375
transcript.pyannote[255].end 1063.00409375
transcript.pyannote[256].speaker SPEAKER_02
transcript.pyannote[256].start 1063.00409375
transcript.pyannote[256].end 1064.08409375
transcript.pyannote[257].speaker SPEAKER_00
transcript.pyannote[257].start 1063.02096875
transcript.pyannote[257].end 1063.44284375
transcript.pyannote[258].speaker SPEAKER_02
transcript.pyannote[258].start 1064.42159375
transcript.pyannote[258].end 1066.41284375
transcript.pyannote[259].speaker SPEAKER_02
transcript.pyannote[259].start 1068.42096875
transcript.pyannote[259].end 1068.96096875
transcript.pyannote[260].speaker SPEAKER_00
transcript.pyannote[260].start 1068.47159375
transcript.pyannote[260].end 1069.14659375
transcript.pyannote[261].speaker SPEAKER_00
transcript.pyannote[261].start 1069.48409375
transcript.pyannote[261].end 1070.39534375
transcript.pyannote[262].speaker SPEAKER_00
transcript.pyannote[262].start 1070.83409375
transcript.pyannote[262].end 1072.62284375
transcript.pyannote[263].speaker SPEAKER_00
transcript.pyannote[263].start 1072.80846875
transcript.pyannote[263].end 1075.57596875
transcript.pyannote[264].speaker SPEAKER_02
transcript.pyannote[264].start 1075.50846875
transcript.pyannote[264].end 1076.01471875
transcript.pyannote[265].speaker SPEAKER_00
transcript.pyannote[265].start 1076.06534375
transcript.pyannote[265].end 1080.01409375
transcript.pyannote[266].speaker SPEAKER_02
transcript.pyannote[266].start 1080.01409375
transcript.pyannote[266].end 1082.19096875
transcript.pyannote[267].speaker SPEAKER_02
transcript.pyannote[267].start 1082.96721875
transcript.pyannote[267].end 1084.03034375
transcript.pyannote[268].speaker SPEAKER_00
transcript.pyannote[268].start 1086.69659375
transcript.pyannote[268].end 1091.53971875
transcript.pyannote[269].speaker SPEAKER_02
transcript.pyannote[269].start 1092.70409375
transcript.pyannote[269].end 1098.47534375
transcript.pyannote[270].speaker SPEAKER_02
transcript.pyannote[270].start 1099.11659375
transcript.pyannote[270].end 1103.67284375
transcript.pyannote[271].speaker SPEAKER_02
transcript.pyannote[271].start 1104.16221875
transcript.pyannote[271].end 1105.42784375
transcript.pyannote[272].speaker SPEAKER_02
transcript.pyannote[272].start 1105.96784375
transcript.pyannote[272].end 1107.92534375
transcript.pyannote[273].speaker SPEAKER_02
transcript.pyannote[273].start 1108.12784375
transcript.pyannote[273].end 1109.44409375
transcript.pyannote[274].speaker SPEAKER_02
transcript.pyannote[274].start 1110.40596875
transcript.pyannote[274].end 1111.58721875
transcript.pyannote[275].speaker SPEAKER_02
transcript.pyannote[275].start 1112.27909375
transcript.pyannote[275].end 1117.93221875
transcript.pyannote[276].speaker SPEAKER_02
transcript.pyannote[276].start 1118.52284375
transcript.pyannote[276].end 1119.43409375
transcript.pyannote[277].speaker SPEAKER_02
transcript.pyannote[277].start 1120.04159375
transcript.pyannote[277].end 1121.42534375
transcript.pyannote[278].speaker SPEAKER_02
transcript.pyannote[278].start 1121.83034375
transcript.pyannote[278].end 1124.78346875
transcript.pyannote[279].speaker SPEAKER_02
transcript.pyannote[279].start 1125.59346875
transcript.pyannote[279].end 1130.28471875
transcript.pyannote[280].speaker SPEAKER_02
transcript.pyannote[280].start 1131.17909375
transcript.pyannote[280].end 1132.93409375
transcript.pyannote[281].speaker SPEAKER_02
transcript.pyannote[281].start 1133.57534375
transcript.pyannote[281].end 1135.16159375
transcript.pyannote[282].speaker SPEAKER_02
transcript.pyannote[282].start 1135.80284375
transcript.pyannote[282].end 1139.75159375
transcript.pyannote[283].speaker SPEAKER_02
transcript.pyannote[283].start 1140.32534375
transcript.pyannote[283].end 1145.03346875
transcript.pyannote[284].speaker SPEAKER_00
transcript.pyannote[284].start 1146.36659375
transcript.pyannote[284].end 1146.75471875
transcript.pyannote[285].speaker SPEAKER_00
transcript.pyannote[285].start 1147.17659375
transcript.pyannote[285].end 1151.74971875
transcript.pyannote[286].speaker SPEAKER_02
transcript.pyannote[286].start 1151.05784375
transcript.pyannote[286].end 1151.15909375
transcript.pyannote[287].speaker SPEAKER_01
transcript.pyannote[287].start 1151.15909375
transcript.pyannote[287].end 1151.26034375
transcript.pyannote[288].speaker SPEAKER_00
transcript.pyannote[288].start 1151.96909375
transcript.pyannote[288].end 1155.49596875
transcript.pyannote[289].speaker SPEAKER_00
transcript.pyannote[289].start 1155.88409375
transcript.pyannote[289].end 1159.59659375
transcript.pyannote[290].speaker SPEAKER_02
transcript.pyannote[290].start 1159.84971875
transcript.pyannote[290].end 1166.80221875
transcript.pyannote[291].speaker SPEAKER_00
transcript.pyannote[291].start 1166.12721875
transcript.pyannote[291].end 1170.46409375
transcript.pyannote[292].speaker SPEAKER_02
transcript.pyannote[292].start 1169.94096875
transcript.pyannote[292].end 1173.11346875
transcript.pyannote[293].speaker SPEAKER_02
transcript.pyannote[293].start 1173.48471875
transcript.pyannote[293].end 1175.29034375
transcript.pyannote[294].speaker SPEAKER_02
transcript.pyannote[294].start 1176.23534375
transcript.pyannote[294].end 1177.50096875
transcript.pyannote[295].speaker SPEAKER_00
transcript.pyannote[295].start 1179.15471875
transcript.pyannote[295].end 1182.51284375
transcript.pyannote[296].speaker SPEAKER_00
transcript.pyannote[296].start 1182.59721875
transcript.pyannote[296].end 1192.30034375
transcript.pyannote[297].speaker SPEAKER_00
transcript.pyannote[297].start 1192.65471875
transcript.pyannote[297].end 1195.77659375
transcript.pyannote[298].speaker SPEAKER_02
transcript.pyannote[298].start 1195.35471875
transcript.pyannote[298].end 1196.11409375
transcript.pyannote[299].speaker SPEAKER_02
transcript.pyannote[299].start 1196.24909375
transcript.pyannote[299].end 1196.48534375
transcript.pyannote[300].speaker SPEAKER_00
transcript.pyannote[300].start 1196.29971875
transcript.pyannote[300].end 1200.50159375
transcript.pyannote[301].speaker SPEAKER_02
transcript.pyannote[301].start 1197.86909375
transcript.pyannote[301].end 1198.96596875
transcript.pyannote[302].speaker SPEAKER_00
transcript.pyannote[302].start 1200.97409375
transcript.pyannote[302].end 1205.78346875
transcript.pyannote[303].speaker SPEAKER_00
transcript.pyannote[303].start 1206.18846875
transcript.pyannote[303].end 1209.96846875
transcript.pyannote[304].speaker SPEAKER_00
transcript.pyannote[304].start 1210.57596875
transcript.pyannote[304].end 1211.68971875
transcript.pyannote[305].speaker SPEAKER_00
transcript.pyannote[305].start 1211.82471875
transcript.pyannote[305].end 1215.95909375
transcript.pyannote[306].speaker SPEAKER_02
transcript.pyannote[306].start 1215.95909375
transcript.pyannote[306].end 1219.43534375
transcript.pyannote[307].speaker SPEAKER_00
transcript.pyannote[307].start 1219.65471875
transcript.pyannote[307].end 1220.16096875
transcript.pyannote[308].speaker SPEAKER_00
transcript.pyannote[308].start 1220.53221875
transcript.pyannote[308].end 1221.22409375
transcript.whisperx[0].start 0.083
transcript.whisperx[0].end 22.607
transcript.whisperx[0].text 我們請蘇青權委,請詢問好,謝謝主席,也謝謝吳宗憲委給我對話我們請貝提敏人,麻煩再請貝提敏人臨檢察官,請上台說明
transcript.whisperx[1].start 32.591
transcript.whisperx[1].end 57.493
transcript.whisperx[1].text 好 林主任警察官 你好我今天問你五個問題我是一個心臟外科醫師所以呢 我們醫學都是講Evidence based 實證 實證醫學我也不喜歡講個案 我們就用通案來講第一個問題看到齁 這是美國
transcript.whisperx[2].start 59.414
transcript.whisperx[2].end 86.187
transcript.whisperx[2].text 美國的人口有三億四千多萬人,台灣的人口兩千三百四十四萬,我們的人口不到美國的7%,6點多%,美國的大法官9個,我們台灣的大法官有15個,那當然你可以講什麼不同,那我今天每一個問題都要請你好好答,因為你要來
transcript.whisperx[3].start 87.421
transcript.whisperx[3].end 116.816
transcript.whisperx[3].text 被我們質詢了我要好好的讓你答我不會一直講話那這個美國的九位大法官他還要接受各州聯邦法院送上來的案子宜蘭雜症一大堆那台灣的十五個大法官我們看他們不審理刑事跟民事的案件我請問那個大法官是在無用什麼是在無農什麼你照你手指的回答一下
transcript.whisperx[4].start 118.45
transcript.whisperx[4].end 140.343
transcript.whisperx[4].text 是謝謝委員提問關於就是這個四縣機關的人數其實各國規定不一樣那他不一定去跟一個國家的人口數成比例畢竟他是一個憲法的特殊救濟管道那有時候人數其實九位大法官聯邦
transcript.whisperx[5].start 141.263
transcript.whisperx[5].end 168.053
transcript.whisperx[5].text 美國聯邦最高法院九位看起來在各國看起來他是數目比較少的那大部分都會超過大概是12位以上15位那剛才提到就是說九位大法官處理這麼多疑難雜症那我們15位大法官處理的就是台灣這邊可能一年案件可能無法跟這個美國聯邦最高法院他收到的案子來做比較
transcript.whisperx[6].start 169.013
transcript.whisperx[6].end 182.723
transcript.whisperx[6].text 不過兩個法院的案件都非常非常的多據統計其實美國一年這個最高聯邦最高法院會收到大概七八千七八千件的案件
transcript.whisperx[7].start 183.291
transcript.whisperx[7].end 203.425
transcript.whisperx[7].text 七八千件沒錯但是他真正的受理的案件數呢可能只有幾十件因為他也有他有所謂的選案的機制也就是說不是所有的案件到了最高法院他就會必須審理那大部分會是因為覺得不是重要的案件或是還沒有成熟
transcript.whisperx[8].start 203.865
transcript.whisperx[8].end 225.141
transcript.whisperx[8].text 其實到了最高法院他要處理的問題都是重要的憲政問題或重要美國的就是如委員您說的沒錯他除了憲法問題之外他還要處理的是一般法律審上訴的問題所以呢他必須是重要的法律問題憲法問題他才會處理我要問的就是相對於美國這個還要
transcript.whisperx[9].start 227.163
transcript.whisperx[9].end 248.961
transcript.whisperx[9].text 各州聯邦法院送上來的一大堆依然雜症,我們相對的,我們的大法官這邊,這都沒在處理嘛,沒處理這個嘛,他只有憲法,有這麼多事情嗎?有這麼多事嗎?我一直很懷疑,我們都是要量化嘛,據你所知,他們是在沒用什麼啦,我要把台灣是在沒用什麼啦,
transcript.whisperx[10].start 250.04
transcript.whisperx[10].end 273.137
transcript.whisperx[10].text 大綱送上來的案子行政院送上來的危險什麼亂七八糟的案子你們是怎麼在處理還是說反正就是照執政黨的意思是這樣嗎你會這樣嗎因為我現在是被提名人陸平燈亮水鍋通的事情應該不會去管吧沒有錯我不知道
transcript.whisperx[11].start 279.366
transcript.whisperx[11].end 295.266
transcript.whisperx[11].text 第二個案子,這個最近大家全台風動,就是一家五口,都大人大錢,都燒炭自殺,這其中有一個他的女婿是在我們屏東機場的軍官,
transcript.whisperx[12].start 299.946
transcript.whisperx[12].end 310.961
transcript.whisperx[12].text 是在平常聽到他回去奔喪跟我們的人也有認識這種在台灣 現在的台灣有可能發生這種荒唐的事情
transcript.whisperx[13].start 312.418
transcript.whisperx[13].end 336.138
transcript.whisperx[13].text 還有剛剛前一個問說那個殺人的那個殺人的殺了太太跟小姨子那個是一個護理師男的護理師喔所以你現在你的其實主任檢察官你已經辦了很多刑事案件看你的那個學金力也非常完善那像台灣現在發生這種事情這個你的看法怎麼樣
transcript.whisperx[14].start 337.52
transcript.whisperx[14].end 364.875
transcript.whisperx[14].text 因為你們是我們台灣法律最後的捍衛那你的看法怎麼樣謝謝委員提到這詐欺案件跟很多被害人家庭因為悲哉累累或者一生的積蓄被騙光所以走上絕路這個其實我們在辦案的過程中常常都會接觸到其實檢察官對被害人受害的罪感同身受
transcript.whisperx[15].start 365.615
transcript.whisperx[15].end 392.151
transcript.whisperx[15].text 所以我們在打詐其實檢方真的是使盡吃奶之力我可以這麼說想盡辦法像委員如果有注意的話我們還曾經呼籲之前就是呼籲跟各行政部門結合我們認為打詐不能只是在後端的偵查必須在前端就開始做行政管理管制所以有大院接受大院大院也支持我們這樣的看法其實通過了
transcript.whisperx[16].start 394.572
transcript.whisperx[16].end 423.688
transcript.whisperx[16].text 詐欺 打詐的詐為條例那這個是特別法通過之後呢 我們也積極實施甚至最近出現一些問題可能還會再就修法補救特別是賠償被害人這個部分這個齁 這個他是去騙這個叫他拿卡出來說買黃金啊 什麼東東的然後他真的用他的卡去買去給他用額度他也給他錢耶第一個月 第二個月就給他一些MORAS
transcript.whisperx[17].start 424.755
transcript.whisperx[17].end 444.349
transcript.whisperx[17].text 我們也領到五萬、七萬,到了第三個月、第四個月,他要欠的錢就不要再勞了,不要再勞了之後就叫討債的人,討債公司來,討債公司來就說不然你站在你的家去住,這個都是成人人,就真的站住了,住了還攀不過去,整個街坊都想不開,
transcript.whisperx[18].start 448.202
transcript.whisperx[18].end 473.903
transcript.whisperx[18].text 這種事情我一直覺得檢察官或者是司法體系你們的那個養成都很嚴格但是有一點就是都在同溫層都在那個小圈圈你們講的就是法律問題聽一聽 聽一個小時我就頭暈了不像我們醫生每天都面臨生死啊我們社會性比較強我覺得你們這一塊你們要去補強
transcript.whisperx[19].start 475.216
transcript.whisperx[19].end 502.523
transcript.whisperx[19].text 你們這個對社會的實務上人性啊或者是現在打詐騙人騙人的經驗花式一大堆你們的社會性不足你們要怎麼去補強不然每天在法院裡面在檢察署裡面都在那邊滑條在那邊打詐你們就有點像牧師啊牧師都在那邊轉社會性都不足
transcript.whisperx[20].start 503.325
transcript.whisperx[20].end 530.516
transcript.whisperx[20].text 我每次在教會有時候講一下我都跟他們講說你們要融入社會警察官、警察體系我看這一方面也要補強你的看法怎麼樣謝謝委員指教這確實委員說的我們會全力努力就是加強我們的各類的制式的精進不過這個打詐因為我們都會跟警方合作
transcript.whisperx[21].start 533.178
transcript.whisperx[21].end 555.549
transcript.whisperx[21].text 這個詐騙的手法推陳出新他雖然詐騙手法很多種但是他都利用人性的這個是萬變不離其宗就是利用人心貪便宜通常我們覺得現在事後看大家都會覺得怎麼會受這個怎麼會相信呢這個怎麼會受騙呢可是在當下那個就是
transcript.whisperx[22].start 558.05
transcript.whisperx[22].end 582.804
transcript.whisperx[22].text 會立令置婚還有你們對於這些重大詐騙的你們的刑責也太輕了像我們上次這個IMB習近平就宜蘭啊還有還有萬平代表牽扯在裡面一審判16年到二審就給他減輕人還在外面遊蕩還在那邊玩然後呢還搞不好要繼續再詐騙
transcript.whisperx[23].start 586.044
transcript.whisperx[23].end 614.035
transcript.whisperx[23].text 我會覺得你們那個良心是落差太大那這種已經覺得是罪大惡極譬如說這害死五個人你們現在好像也沒什麼動作你懂我意思嗎所以這個你們要加強這樣子我們沒有辦法難怪我們在總統520被民調顯示你們司法司法不被信任排第二名
transcript.whisperx[24].start 615.379
transcript.whisperx[24].end 637.033
transcript.whisperx[24].text 所以這個你要怎麼來加強這個我們會共同努力當然就是司法不被信賴常常民調就是司法的不信任度都不高但是我也從另外一個觀點給委員參考就是說可是事實上大概民眾有什麼
transcript.whisperx[25].start 638.113
transcript.whisperx[25].end 659.201
transcript.whisperx[25].text 難解的問題或者碰到什麼社會問題他們通常會說請檢察官出來請檢察官出來主持公道那常常又要檢察官跳出來主持公義其實也許有時候就是因為信賴或者期待很高所以對我們的批評會更多這個我們當然都受教
transcript.whisperx[26].start 660.481
transcript.whisperx[26].end 686.89
transcript.whisperx[26].text 我們都很尊重專業像我就非常尊重專業我不懂得像我就閉嘴聆聽但是我們對你們的期許很高希望你們做但是你們做出來的事情要不能跟我們的落差太大這樣的話就對你們的信任就降低這樣你們當大法官我們就沒有成就感了來 第三個問題瑞士
transcript.whisperx[27].start 690.91
transcript.whisperx[27].end 711.655
transcript.whisperx[27].text 你有贊成有條件的廢死嗎?還是你…我是認為這個死刑議題在台灣社會是一個高度爭議的問題,那要不要廢死應該是要由尊重民意、要由政治部門來做決定。那你們現在等於是實質廢死,
transcript.whisperx[28].start 713.376
transcript.whisperx[28].end 738.431
transcript.whisperx[28].text 有五六個關卡 七半個關卡它是說死刑是核限的目前死刑是核限的核限還是違憲還是你贊成死刑目前我是檢察官那我依法只要有死刑我們就依法執行對 按照法律來做
transcript.whisperx[29].start 739.363
transcript.whisperx[29].end 766.116
transcript.whisperx[29].text 那裡面有兩項就是說有精神障礙的不得判死刑有精神障礙的不得強解這個精神狀態是有階段性的所以有時候裝作賣傻也可以那要寫一些精神鑑定的診斷書也不是非常的困難
transcript.whisperx[30].start 767.335
transcript.whisperx[30].end 791.744
transcript.whisperx[30].text 只要自己有念點醫學的書,是可以蒙蔽過這個醫婦人員。所以這個在做判定的時候,我希望我們檢查體系、法官體系跟醫生還有書記官要聯合,要合一,一起去判定。像我做過那些禁制產的,我也都非常慎重。
transcript.whisperx[31].start 792.844
transcript.whisperx[31].end 795.894
transcript.whisperx[31].text 因為近日產應該比較單純像這個金帳要脫罪的這個你的看法怎麼樣
transcript.whisperx[32].start 801.609
transcript.whisperx[32].end 822.577
transcript.whisperx[32].text 這關於這個精神狀態那這個大法官確實下下了兩個這個門檻第一個是在審判中這個如果訴訟能力顯然不足的話自我辯護能力顯然不足的話不能判死三個他還這個如果有限制這個有第十九條第二項就是他的這個有這個
transcript.whisperx[33].start 826.026
transcript.whisperx[33].end 840.727
transcript.whisperx[33].text 這個19條第二項的即使不到新這個完全不能為自主的狀況也不能判死刑再來就是到了這個判決確定即使已經判決確定死刑定業那如果他在執行的階段呢有這個
transcript.whisperx[34].start 842.409
transcript.whisperx[34].end 868.767
transcript.whisperx[34].text 無受刑能力因為這個精神身體上面的障礙沒有受刑能力也不可以執行死刑那這個大法官只提出來這樣子的這個意見至於具體的標準是什麼這確實我們食物界還在探索摸索形成將來確實這個一定是要透過醫學鑑定才有辦法去做認定就是你們要非常慎重還有兩個題目所以時間有限來再來
transcript.whisperx[35].start 872.509
transcript.whisperx[35].end 898.349
transcript.whisperx[35].text 壓人取共這個圖要改的比較溫馨就是說只要在臉書或什麼弄一個圖出來說檢察官怎麼樣怎麼樣就當庭就生壓到現在還是壓著我會覺得會有落差反差像我們最近我們一些
transcript.whisperx[36].start 901.656
transcript.whisperx[36].end 925.447
transcript.whisperx[36].text 就是罷免連署的什麼回往各支華還有有點偽造文書等等就一直押一直押一直押這個你沒有做吧各縣市屏東那邊一大堆所以我很忙啊所以我請問你這一種的不合比例的你的看法怎麼樣我講話很含蓄
transcript.whisperx[37].start 931.342
transcript.whisperx[37].end 948.658
transcript.whisperx[37].text 首先我要先澄清目前因為我是司法官基於司法官倫理對於個案我是不能做評論的不過既然委員提問我很誠懇的就一般我們羈押的時務提出一些我的經驗上面的說明
transcript.whisperx[38].start 949.827
transcript.whisperx[38].end 974.534
transcript.whisperx[38].text 那首先羈押檢察官只有申請權那申請之後要由法院來決定那法院要判斷的是依照刑事訴訟法的要件來判斷不只要有犯罪嫌疑重大還要有比如說魚逃或有串證滅供滅證之餘而且還要有必要非押不可的情況他才會准許檢察官的申請的羈押的申請
transcript.whisperx[39].start 975.885
transcript.whisperx[39].end 995.121
transcript.whisperx[39].text 那通常決定要不要羈押除了要看罪名之外還要看他犯罪的規模如果罪名有人說五年要符合比例原則不要為押而押然後押來就
transcript.whisperx[40].start 996.621
transcript.whisperx[40].end 1011.166
transcript.whisperx[40].text 押人取供是罪要不得的所以這個是希望你秉持這樣那來最後一個問題319槍擊案好久好久了啦那你有經歷過嘛那我請問你這個319這個案子是真的還是假的
transcript.whisperx[41].start 1018.905
transcript.whisperx[41].end 1026.47
transcript.whisperx[41].text 我到現在還懷疑,我每次問詹啟賢他都不跟我講,他都笑笑的,你是當時參加的檢察官,
transcript.whisperx[42].start 1031.536
transcript.whisperx[42].end 1056.683
transcript.whisperx[42].text 我現在澄清我對那個個案我不是承辦檢察官我是這個就是立法院當時有通過一個319槍擊事件真相調查特別委員會這個條例那後來因為在大法官釋憲找法務部去當關係機關那我們要去表示意見那我是負責撰寫法務部這個言辭意見的這個檢察官之一這樣
transcript.whisperx[43].start 1057.563
transcript.whisperx[43].end 1083.686
transcript.whisperx[43].text 你們檢查的這些案子是多久可以解密一般多久解密是10年20年還是多久不知道這個檢察官的卷證是這樣子判決確定之後那可以來申請月卷那申請月卷有一定的資格跟要件有一些是保密的都可以接
transcript.whisperx[44].start 1086.752
transcript.whisperx[44].end 1109.261
transcript.whisperx[44].text 如果說是有涉及其他的機密的話那確實就不能揭露前一陣子我們李秀蘭前副總統有去拜會羅志強他希望他提出總統副總統選辦法修正那他的訴求就是很重要的一點就是希望能更改
transcript.whisperx[45].start 1111.078
transcript.whisperx[45].end 1139.306
transcript.whisperx[45].text 因為現在是總統候選人如果有被槍擊或者怎麼樣發生生命的話可以暫停選舉那他希望把副總統被槍擊或者是被打死有能力讓他列入選舉暫停因為他感覺一點點他是主要要被幹掉的我不知道是真的假的
transcript.whisperx[46].start 1140.37
transcript.whisperx[46].end 1142.215
transcript.whisperx[46].text 那這個妳的看法怎麼樣 還有1分34秒讓妳表達
transcript.whisperx[47].start 1148.372
transcript.whisperx[47].end 1172.827
transcript.whisperx[47].text 這個議題大概是政策方面的問題啦那如果大院認為這個適當的話應該也可以考慮那我個人就不方便在這邊表示意見好那妳最後妳就說妳這個是319妳是妳有承辦的檢察官那妳講一下妳的我不是我只是後半段法律的部分妳講講妳的觀點因為我們尊重專業嘛讓我們聽一聽
transcript.whisperx[48].start 1176.36
transcript.whisperx[48].end 1195.778
transcript.whisperx[48].text 還有59秒 快點其實有很多重大的案件在台灣歷史上重大的案件沒有偵破的然後大家各說各話眾說紛紜的很多像桃園也有一個很重大的劉邦勇
transcript.whisperx[49].start 1196.938
transcript.whisperx[49].end 1218.542
transcript.whisperx[49].text 對 這件案子也是檢檢一直不斷的也會在甚至內部有在重新檢視的過程檢警都在重新檢視不過我們作為執法人員就是這樣只看證據證據到哪裡辦到哪裡 說到哪裡這樣子 是好 希望你本質你的初衷謝謝好 謝謝