iVOD / 163052

Field Value
IVOD_ID 163052
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/163052
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 2025-07-10T16:16:32+08:00
結束時間 2025-07-10T16:37:12+08:00
影片長度 00:20:40
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/2bb0d0af414fb209c1bf9ea3712864e9cb5545a92025017dfc5522444ca3f0ffcf300a208d967c955ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 徐欣瑩
委員發言時間 16:16:32 - 16:37:12
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 4.24971875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 15.16784375
transcript.pyannote[1].end 18.08721875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 18.25596875
transcript.pyannote[2].end 20.12909375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 20.88846875
transcript.pyannote[3].end 21.42846875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 31.31721875
transcript.pyannote[4].end 32.02596875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 32.38034375
transcript.pyannote[5].end 33.64596875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 33.64596875
transcript.pyannote[6].end 34.94534375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 35.46846875
transcript.pyannote[7].end 43.23096875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 43.99034375
transcript.pyannote[8].end 50.60534375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 50.97659375
transcript.pyannote[9].end 53.59221875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 53.62596875
transcript.pyannote[10].end 55.38096875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 55.85346875
transcript.pyannote[11].end 57.43971875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 57.91221875
transcript.pyannote[12].end 66.43409375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 67.36221875
transcript.pyannote[13].end 72.91409375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 73.31909375
transcript.pyannote[14].end 76.81221875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 77.47034375
transcript.pyannote[15].end 77.94284375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 78.83721875
transcript.pyannote[16].end 81.75659375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 81.85784375
transcript.pyannote[17].end 83.88284375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 84.52409375
transcript.pyannote[18].end 85.97534375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 85.99221875
transcript.pyannote[19].end 96.31971875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 96.57284375
transcript.pyannote[20].end 97.61909375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 97.77096875
transcript.pyannote[21].end 98.68221875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 99.52596875
transcript.pyannote[22].end 101.82096875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 102.17534375
transcript.pyannote[23].end 108.58784375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 109.44846875
transcript.pyannote[24].end 112.33409375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 113.53221875
transcript.pyannote[25].end 121.83471875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 122.08784375
transcript.pyannote[26].end 126.17159375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 126.88034375
transcript.pyannote[27].end 133.93409375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 133.93409375
transcript.pyannote[28].end 133.95096875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 136.26284375
transcript.pyannote[29].end 139.65471875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 140.73471875
transcript.pyannote[30].end 161.64284375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 162.41909375
transcript.pyannote[31].end 163.61721875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 163.95471875
transcript.pyannote[32].end 171.46409375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 171.75096875
transcript.pyannote[33].end 182.34846875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 183.36096875
transcript.pyannote[34].end 186.21284375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 186.55034375
transcript.pyannote[35].end 187.54596875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 187.76534375
transcript.pyannote[36].end 199.86471875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 200.65784375
transcript.pyannote[37].end 207.44159375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 207.98159375
transcript.pyannote[38].end 209.31471875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 209.85471875
transcript.pyannote[39].end 217.02659375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 217.02659375
transcript.pyannote[40].end 230.07096875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 224.02971875
transcript.pyannote[41].end 224.50221875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 230.32409375
transcript.pyannote[42].end 231.01596875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 231.38721875
transcript.pyannote[43].end 256.07534375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 256.66596875
transcript.pyannote[44].end 260.10846875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 260.68221875
transcript.pyannote[45].end 261.35721875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 260.85096875
transcript.pyannote[46].end 261.66096875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 262.31909375
transcript.pyannote[47].end 267.53346875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 267.53346875
transcript.pyannote[48].end 271.73534375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 272.25846875
transcript.pyannote[49].end 274.78971875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 275.02596875
transcript.pyannote[50].end 279.24471875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 279.97034375
transcript.pyannote[51].end 283.34534375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 284.54346875
transcript.pyannote[52].end 289.01534375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 288.81284375
transcript.pyannote[53].end 290.85471875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 291.15846875
transcript.pyannote[54].end 293.75721875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 294.34784375
transcript.pyannote[55].end 296.27159375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 297.60471875
transcript.pyannote[56].end 301.85721875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 297.70596875
transcript.pyannote[57].end 298.58346875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 301.68846875
transcript.pyannote[58].end 302.19471875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 302.83596875
transcript.pyannote[59].end 303.39284375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 303.88221875
transcript.pyannote[60].end 306.09284375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 304.35471875
transcript.pyannote[61].end 306.59909375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 306.59909375
transcript.pyannote[62].end 308.03346875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 308.16846875
transcript.pyannote[63].end 316.70721875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 313.38284375
transcript.pyannote[64].end 316.90971875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 317.53409375
transcript.pyannote[65].end 320.38596875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 319.74471875
transcript.pyannote[66].end 324.13221875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 324.52034375
transcript.pyannote[67].end 330.64596875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 330.83159375
transcript.pyannote[68].end 335.96159375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 336.67034375
transcript.pyannote[69].end 339.55596875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 338.71221875
transcript.pyannote[70].end 339.62346875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 339.85971875
transcript.pyannote[71].end 357.93284375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 358.03409375
transcript.pyannote[72].end 380.20784375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 366.37034375
transcript.pyannote[73].end 366.82596875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 369.49221875
transcript.pyannote[74].end 370.20096875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 376.64721875
transcript.pyannote[75].end 377.05221875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 380.56221875
transcript.pyannote[76].end 383.11034375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 383.56596875
transcript.pyannote[77].end 393.01596875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 393.94409375
transcript.pyannote[78].end 396.61034375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 397.11659375
transcript.pyannote[79].end 400.13721875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 400.72784375
transcript.pyannote[80].end 402.65159375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 401.87534375
transcript.pyannote[81].end 402.16221875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 402.65159375
transcript.pyannote[82].end 405.36846875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 405.75659375
transcript.pyannote[83].end 410.31284375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 410.38034375
transcript.pyannote[84].end 411.03846875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 411.03846875
transcript.pyannote[85].end 411.17346875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 411.57846875
transcript.pyannote[86].end 411.62909375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 411.62909375
transcript.pyannote[87].end 421.53471875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 417.67034375
transcript.pyannote[88].end 420.16784375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 420.42096875
transcript.pyannote[89].end 420.91034375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 421.31534375
transcript.pyannote[90].end 431.08596875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 423.82971875
transcript.pyannote[91].end 424.79159375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 430.66409375
transcript.pyannote[92].end 430.98471875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 431.08596875
transcript.pyannote[93].end 431.79471875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 431.79471875
transcript.pyannote[94].end 432.35159375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 431.81159375
transcript.pyannote[95].end 439.42221875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 439.75971875
transcript.pyannote[96].end 444.78846875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 444.85596875
transcript.pyannote[97].end 447.53909375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 447.96096875
transcript.pyannote[98].end 453.19221875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 453.76596875
transcript.pyannote[99].end 455.92596875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 455.95971875
transcript.pyannote[100].end 462.13596875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 462.28784375
transcript.pyannote[101].end 478.62284375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 479.06159375
transcript.pyannote[102].end 483.60096875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 483.85409375
transcript.pyannote[103].end 485.38971875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 485.77784375
transcript.pyannote[104].end 496.83096875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 497.11784375
transcript.pyannote[105].end 498.01221875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 499.36221875
transcript.pyannote[106].end 504.47534375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 504.69471875
transcript.pyannote[107].end 511.00596875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 511.79909375
transcript.pyannote[108].end 513.60471875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 514.31346875
transcript.pyannote[109].end 524.15159375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 521.09721875
transcript.pyannote[110].end 521.51909375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 524.47221875
transcript.pyannote[111].end 533.12909375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 533.24721875
transcript.pyannote[112].end 533.29784375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 533.29784375
transcript.pyannote[113].end 533.34846875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 533.34846875
transcript.pyannote[114].end 537.48284375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 537.65159375
transcript.pyannote[115].end 538.52909375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 540.11534375
transcript.pyannote[116].end 542.37659375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 542.59596875
transcript.pyannote[117].end 543.82784375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 544.19909375
transcript.pyannote[118].end 549.85221875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 550.37534375
transcript.pyannote[119].end 553.80096875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 553.88534375
transcript.pyannote[120].end 558.57659375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 559.57221875
transcript.pyannote[121].end 561.24284375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 561.58034375
transcript.pyannote[122].end 565.15784375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 565.24221875
transcript.pyannote[123].end 568.09409375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 568.24596875
transcript.pyannote[124].end 570.70971875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 573.22409375
transcript.pyannote[125].end 577.76346875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 577.96596875
transcript.pyannote[126].end 581.37471875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 582.50534375
transcript.pyannote[127].end 583.07909375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 583.34909375
transcript.pyannote[128].end 584.51346875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 585.15471875
transcript.pyannote[129].end 588.42846875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 589.01909375
transcript.pyannote[130].end 589.64346875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 590.94284375
transcript.pyannote[131].end 596.69721875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 596.69721875
transcript.pyannote[132].end 596.74784375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 597.22034375
transcript.pyannote[133].end 597.59159375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 597.91221875
transcript.pyannote[134].end 601.40534375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 602.26596875
transcript.pyannote[135].end 607.93596875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 608.88096875
transcript.pyannote[136].end 608.98221875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 609.23534375
transcript.pyannote[137].end 612.12096875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 612.37409375
transcript.pyannote[138].end 616.20471875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 616.64346875
transcript.pyannote[139].end 621.14909375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 621.67221875
transcript.pyannote[140].end 629.62034375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 631.07159375
transcript.pyannote[141].end 637.11284375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 639.30659375
transcript.pyannote[142].end 641.82096875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 641.36534375
transcript.pyannote[143].end 641.80409375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 641.82096875
transcript.pyannote[144].end 643.79534375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 642.79971875
transcript.pyannote[145].end 642.86721875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 644.43659375
transcript.pyannote[146].end 646.07346875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 646.52909375
transcript.pyannote[147].end 649.17846875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 649.81971875
transcript.pyannote[148].end 652.35096875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 653.58284375
transcript.pyannote[149].end 654.64596875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 654.96659375
transcript.pyannote[150].end 658.35846875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 658.83096875
transcript.pyannote[151].end 673.96784375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 674.33909375
transcript.pyannote[152].end 681.78096875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 682.00034375
transcript.pyannote[153].end 682.86096875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 682.25346875
transcript.pyannote[154].end 683.04659375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 683.33346875
transcript.pyannote[155].end 686.26971875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 685.62846875
transcript.pyannote[156].end 685.98284375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 686.94471875
transcript.pyannote[157].end 687.85596875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 689.17221875
transcript.pyannote[158].end 691.34909375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 692.19284375
transcript.pyannote[159].end 703.02659375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 703.02659375
transcript.pyannote[160].end 714.02909375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 703.66784375
transcript.pyannote[161].end 704.07284375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 714.26534375
transcript.pyannote[162].end 719.42909375
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 719.59784375
transcript.pyannote[163].end 724.55909375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 725.04846875
transcript.pyannote[164].end 726.26346875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 726.87096875
transcript.pyannote[165].end 739.25721875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 740.23596875
transcript.pyannote[166].end 740.74221875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 740.96159375
transcript.pyannote[167].end 742.02471875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 742.85159375
transcript.pyannote[168].end 744.52221875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 744.91034375
transcript.pyannote[169].end 751.89659375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 752.33534375
transcript.pyannote[170].end 753.04409375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 753.33096875
transcript.pyannote[171].end 754.51221875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 754.95096875
transcript.pyannote[172].end 761.81909375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 762.37596875
transcript.pyannote[173].end 763.38846875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 763.89471875
transcript.pyannote[174].end 767.30346875
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 767.84346875
transcript.pyannote[175].end 769.39596875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 769.71659375
transcript.pyannote[176].end 776.21346875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 776.77034375
transcript.pyannote[177].end 780.71909375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 781.17471875
transcript.pyannote[178].end 784.36409375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 784.61721875
transcript.pyannote[179].end 789.29159375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 789.73034375
transcript.pyannote[180].end 794.57346875
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 795.06284375
transcript.pyannote[181].end 802.42034375
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 802.75784375
transcript.pyannote[182].end 804.27659375
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 804.93471875
transcript.pyannote[183].end 806.18346875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 806.85846875
transcript.pyannote[184].end 807.29721875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 807.70221875
transcript.pyannote[185].end 808.49534375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 808.69784375
transcript.pyannote[186].end 809.23784375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 809.69346875
transcript.pyannote[187].end 810.38534375
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 811.33034375
transcript.pyannote[188].end 811.87034375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 812.35971875
transcript.pyannote[189].end 815.49846875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 815.81909375
transcript.pyannote[190].end 829.06596875
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 831.09096875
transcript.pyannote[191].end 831.96846875
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 833.35221875
transcript.pyannote[192].end 835.56284375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 833.58846875
transcript.pyannote[193].end 835.59659375
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 835.59659375
transcript.pyannote[194].end 835.71471875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 835.71471875
transcript.pyannote[195].end 835.88346875
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 835.88346875
transcript.pyannote[196].end 835.91721875
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 835.91721875
transcript.pyannote[197].end 835.93409375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 836.54159375
transcript.pyannote[198].end 836.55846875
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 836.55846875
transcript.pyannote[199].end 840.03471875
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 840.45659375
transcript.pyannote[200].end 844.27034375
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 844.70909375
transcript.pyannote[201].end 845.63721875
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 845.92409375
transcript.pyannote[202].end 848.03346875
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 849.95721875
transcript.pyannote[203].end 852.75846875
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 854.37846875
transcript.pyannote[204].end 855.28971875
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 855.28971875
transcript.pyannote[205].end 855.32346875
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 855.81284375
transcript.pyannote[206].end 855.96471875
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 855.96471875
transcript.pyannote[207].end 856.47096875
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 857.07846875
transcript.pyannote[208].end 858.58034375
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 859.99784375
transcript.pyannote[209].end 860.95971875
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 861.12846875
transcript.pyannote[210].end 862.05659375
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 862.42784375
transcript.pyannote[211].end 869.58284375
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 868.92471875
transcript.pyannote[212].end 870.40971875
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 870.61221875
transcript.pyannote[213].end 872.85659375
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 873.90284375
transcript.pyannote[214].end 875.69159375
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 876.06284375
transcript.pyannote[215].end 877.90221875
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 877.02471875
transcript.pyannote[216].end 877.05846875
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 877.31159375
transcript.pyannote[217].end 877.69971875
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 877.90221875
transcript.pyannote[218].end 877.91909375
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 878.86409375
transcript.pyannote[219].end 878.88096875
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 878.88096875
transcript.pyannote[220].end 885.04034375
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 885.09096875
transcript.pyannote[221].end 887.45346875
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 887.82471875
transcript.pyannote[222].end 888.29721875
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 889.25909375
transcript.pyannote[223].end 891.52034375
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 892.22909375
transcript.pyannote[224].end 894.67596875
transcript.pyannote[225].speaker SPEAKER_01
transcript.pyannote[225].start 894.67596875
transcript.pyannote[225].end 894.70971875
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 894.99659375
transcript.pyannote[226].end 895.48596875
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 896.09346875
transcript.pyannote[227].end 897.20721875
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 897.35909375
transcript.pyannote[228].end 905.39159375
transcript.pyannote[229].speaker SPEAKER_00
transcript.pyannote[229].start 903.02909375
transcript.pyannote[229].end 912.02346875
transcript.pyannote[230].speaker SPEAKER_00
transcript.pyannote[230].start 912.34409375
transcript.pyannote[230].end 915.85409375
transcript.pyannote[231].speaker SPEAKER_00
transcript.pyannote[231].start 915.97221875
transcript.pyannote[231].end 918.70596875
transcript.pyannote[232].speaker SPEAKER_00
transcript.pyannote[232].start 919.33034375
transcript.pyannote[232].end 920.54534375
transcript.pyannote[233].speaker SPEAKER_00
transcript.pyannote[233].start 921.37221875
transcript.pyannote[233].end 923.34659375
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 924.57846875
transcript.pyannote[234].end 924.59534375
transcript.pyannote[235].speaker SPEAKER_00
transcript.pyannote[235].start 924.59534375
transcript.pyannote[235].end 926.31659375
transcript.pyannote[236].speaker SPEAKER_00
transcript.pyannote[236].start 926.80596875
transcript.pyannote[236].end 927.46409375
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 928.18971875
transcript.pyannote[237].end 928.91534375
transcript.pyannote[238].speaker SPEAKER_00
transcript.pyannote[238].start 929.77596875
transcript.pyannote[238].end 930.65346875
transcript.pyannote[239].speaker SPEAKER_00
transcript.pyannote[239].start 932.34096875
transcript.pyannote[239].end 933.67409375
transcript.pyannote[240].speaker SPEAKER_00
transcript.pyannote[240].start 933.85971875
transcript.pyannote[240].end 939.47909375
transcript.pyannote[241].speaker SPEAKER_00
transcript.pyannote[241].start 941.23409375
transcript.pyannote[241].end 942.83721875
transcript.pyannote[242].speaker SPEAKER_00
transcript.pyannote[242].start 943.29284375
transcript.pyannote[242].end 946.51596875
transcript.pyannote[243].speaker SPEAKER_00
transcript.pyannote[243].start 946.97159375
transcript.pyannote[243].end 953.13096875
transcript.pyannote[244].speaker SPEAKER_00
transcript.pyannote[244].start 953.43471875
transcript.pyannote[244].end 954.64971875
transcript.pyannote[245].speaker SPEAKER_00
transcript.pyannote[245].start 955.52721875
transcript.pyannote[245].end 959.44221875
transcript.pyannote[246].speaker SPEAKER_00
transcript.pyannote[246].start 960.43784375
transcript.pyannote[246].end 961.70346875
transcript.pyannote[247].speaker SPEAKER_00
transcript.pyannote[247].start 962.42909375
transcript.pyannote[247].end 963.07034375
transcript.pyannote[248].speaker SPEAKER_00
transcript.pyannote[248].start 963.50909375
transcript.pyannote[248].end 965.50034375
transcript.pyannote[249].speaker SPEAKER_00
transcript.pyannote[249].start 966.63096875
transcript.pyannote[249].end 967.77846875
transcript.pyannote[250].speaker SPEAKER_00
transcript.pyannote[250].start 967.89659375
transcript.pyannote[250].end 968.75721875
transcript.pyannote[251].speaker SPEAKER_00
transcript.pyannote[251].start 969.33096875
transcript.pyannote[251].end 977.76846875
transcript.pyannote[252].speaker SPEAKER_00
transcript.pyannote[252].start 978.67971875
transcript.pyannote[252].end 979.59096875
transcript.pyannote[253].speaker SPEAKER_00
transcript.pyannote[253].start 982.89846875
transcript.pyannote[253].end 983.86034375
transcript.pyannote[254].speaker SPEAKER_01
transcript.pyannote[254].start 982.93221875
transcript.pyannote[254].end 983.65784375
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 983.70846875
transcript.pyannote[255].end 983.77596875
transcript.pyannote[256].speaker SPEAKER_01
transcript.pyannote[256].start 983.86034375
transcript.pyannote[256].end 985.86846875
transcript.pyannote[257].speaker SPEAKER_00
transcript.pyannote[257].start 984.09659375
transcript.pyannote[257].end 984.41721875
transcript.pyannote[258].speaker SPEAKER_00
transcript.pyannote[258].start 984.58596875
transcript.pyannote[258].end 984.90659375
transcript.pyannote[259].speaker SPEAKER_01
transcript.pyannote[259].start 986.52659375
transcript.pyannote[259].end 988.90596875
transcript.pyannote[260].speaker SPEAKER_01
transcript.pyannote[260].start 989.61471875
transcript.pyannote[260].end 995.80784375
transcript.pyannote[261].speaker SPEAKER_00
transcript.pyannote[261].start 993.51284375
transcript.pyannote[261].end 994.03596875
transcript.pyannote[262].speaker SPEAKER_00
transcript.pyannote[262].start 995.80784375
transcript.pyannote[262].end 1000.11096875
transcript.pyannote[263].speaker SPEAKER_01
transcript.pyannote[263].start 995.89221875
transcript.pyannote[263].end 996.28034375
transcript.pyannote[264].speaker SPEAKER_01
transcript.pyannote[264].start 998.86221875
transcript.pyannote[264].end 1001.83221875
transcript.pyannote[265].speaker SPEAKER_00
transcript.pyannote[265].start 1001.03909375
transcript.pyannote[265].end 1001.78159375
transcript.pyannote[266].speaker SPEAKER_00
transcript.pyannote[266].start 1001.83221875
transcript.pyannote[266].end 1001.96721875
transcript.pyannote[267].speaker SPEAKER_01
transcript.pyannote[267].start 1001.96721875
transcript.pyannote[267].end 1002.03471875
transcript.pyannote[268].speaker SPEAKER_00
transcript.pyannote[268].start 1002.03471875
transcript.pyannote[268].end 1002.96284375
transcript.pyannote[269].speaker SPEAKER_01
transcript.pyannote[269].start 1002.96284375
transcript.pyannote[269].end 1003.03034375
transcript.pyannote[270].speaker SPEAKER_00
transcript.pyannote[270].start 1003.03034375
transcript.pyannote[270].end 1006.23659375
transcript.pyannote[271].speaker SPEAKER_01
transcript.pyannote[271].start 1007.43471875
transcript.pyannote[271].end 1007.45159375
transcript.pyannote[272].speaker SPEAKER_00
transcript.pyannote[272].start 1007.45159375
transcript.pyannote[272].end 1009.34159375
transcript.pyannote[273].speaker SPEAKER_01
transcript.pyannote[273].start 1007.55284375
transcript.pyannote[273].end 1008.17721875
transcript.pyannote[274].speaker SPEAKER_01
transcript.pyannote[274].start 1008.37971875
transcript.pyannote[274].end 1008.41346875
transcript.pyannote[275].speaker SPEAKER_00
transcript.pyannote[275].start 1010.03346875
transcript.pyannote[275].end 1010.72534375
transcript.pyannote[276].speaker SPEAKER_00
transcript.pyannote[276].start 1010.86034375
transcript.pyannote[276].end 1012.32846875
transcript.pyannote[277].speaker SPEAKER_00
transcript.pyannote[277].start 1013.49284375
transcript.pyannote[277].end 1014.74159375
transcript.pyannote[278].speaker SPEAKER_00
transcript.pyannote[278].start 1015.85534375
transcript.pyannote[278].end 1018.47096875
transcript.pyannote[279].speaker SPEAKER_00
transcript.pyannote[279].start 1019.77034375
transcript.pyannote[279].end 1021.03596875
transcript.pyannote[280].speaker SPEAKER_00
transcript.pyannote[280].start 1021.76159375
transcript.pyannote[280].end 1022.28471875
transcript.pyannote[281].speaker SPEAKER_00
transcript.pyannote[281].start 1022.77409375
transcript.pyannote[281].end 1025.49096875
transcript.pyannote[282].speaker SPEAKER_00
transcript.pyannote[282].start 1026.04784375
transcript.pyannote[282].end 1030.09784375
transcript.pyannote[283].speaker SPEAKER_00
transcript.pyannote[283].start 1030.70534375
transcript.pyannote[283].end 1036.42596875
transcript.pyannote[284].speaker SPEAKER_00
transcript.pyannote[284].start 1036.59471875
transcript.pyannote[284].end 1039.19346875
transcript.pyannote[285].speaker SPEAKER_00
transcript.pyannote[285].start 1040.59409375
transcript.pyannote[285].end 1041.08346875
transcript.pyannote[286].speaker SPEAKER_00
transcript.pyannote[286].start 1041.48846875
transcript.pyannote[286].end 1042.43346875
transcript.pyannote[287].speaker SPEAKER_00
transcript.pyannote[287].start 1042.92284375
transcript.pyannote[287].end 1045.87596875
transcript.pyannote[288].speaker SPEAKER_00
transcript.pyannote[288].start 1048.57596875
transcript.pyannote[288].end 1049.55471875
transcript.pyannote[289].speaker SPEAKER_01
transcript.pyannote[289].start 1051.36034375
transcript.pyannote[289].end 1051.64721875
transcript.pyannote[290].speaker SPEAKER_01
transcript.pyannote[290].start 1052.27159375
transcript.pyannote[290].end 1054.34721875
transcript.pyannote[291].speaker SPEAKER_01
transcript.pyannote[291].start 1054.90409375
transcript.pyannote[291].end 1055.05596875
transcript.pyannote[292].speaker SPEAKER_00
transcript.pyannote[292].start 1055.49471875
transcript.pyannote[292].end 1059.44346875
transcript.pyannote[293].speaker SPEAKER_01
transcript.pyannote[293].start 1060.55721875
transcript.pyannote[293].end 1060.81034375
transcript.pyannote[294].speaker SPEAKER_01
transcript.pyannote[294].start 1061.31659375
transcript.pyannote[294].end 1066.41284375
transcript.pyannote[295].speaker SPEAKER_01
transcript.pyannote[295].start 1067.23971875
transcript.pyannote[295].end 1069.46721875
transcript.pyannote[296].speaker SPEAKER_00
transcript.pyannote[296].start 1071.13784375
transcript.pyannote[296].end 1078.10721875
transcript.pyannote[297].speaker SPEAKER_00
transcript.pyannote[297].start 1078.44471875
transcript.pyannote[297].end 1082.98409375
transcript.pyannote[298].speaker SPEAKER_00
transcript.pyannote[298].start 1083.22034375
transcript.pyannote[298].end 1086.40971875
transcript.pyannote[299].speaker SPEAKER_01
transcript.pyannote[299].start 1086.40971875
transcript.pyannote[299].end 1092.14721875
transcript.pyannote[300].speaker SPEAKER_00
transcript.pyannote[300].start 1091.28659375
transcript.pyannote[300].end 1094.57721875
transcript.pyannote[301].speaker SPEAKER_00
transcript.pyannote[301].start 1095.03284375
transcript.pyannote[301].end 1096.70346875
transcript.pyannote[302].speaker SPEAKER_00
transcript.pyannote[302].start 1097.54721875
transcript.pyannote[302].end 1112.49846875
transcript.pyannote[303].speaker SPEAKER_01
transcript.pyannote[303].start 1113.83159375
transcript.pyannote[303].end 1113.88221875
transcript.pyannote[304].speaker SPEAKER_00
transcript.pyannote[304].start 1113.88221875
transcript.pyannote[304].end 1113.89909375
transcript.pyannote[305].speaker SPEAKER_01
transcript.pyannote[305].start 1113.89909375
transcript.pyannote[305].end 1114.67534375
transcript.pyannote[306].speaker SPEAKER_01
transcript.pyannote[306].start 1115.80596875
transcript.pyannote[306].end 1122.64034375
transcript.pyannote[307].speaker SPEAKER_00
transcript.pyannote[307].start 1119.53534375
transcript.pyannote[307].end 1119.65346875
transcript.pyannote[308].speaker SPEAKER_01
transcript.pyannote[308].start 1122.72471875
transcript.pyannote[308].end 1124.42909375
transcript.pyannote[309].speaker SPEAKER_00
transcript.pyannote[309].start 1123.18034375
transcript.pyannote[309].end 1124.85096875
transcript.pyannote[310].speaker SPEAKER_01
transcript.pyannote[310].start 1124.85096875
transcript.pyannote[310].end 1127.01096875
transcript.pyannote[311].speaker SPEAKER_01
transcript.pyannote[311].start 1127.60159375
transcript.pyannote[311].end 1129.18784375
transcript.pyannote[312].speaker SPEAKER_01
transcript.pyannote[312].start 1129.32284375
transcript.pyannote[312].end 1133.23784375
transcript.pyannote[313].speaker SPEAKER_00
transcript.pyannote[313].start 1130.01471875
transcript.pyannote[313].end 1130.95971875
transcript.pyannote[314].speaker SPEAKER_00
transcript.pyannote[314].start 1131.75284375
transcript.pyannote[314].end 1133.98034375
transcript.pyannote[315].speaker SPEAKER_00
transcript.pyannote[315].start 1133.99721875
transcript.pyannote[315].end 1134.01409375
transcript.pyannote[316].speaker SPEAKER_01
transcript.pyannote[316].start 1134.01409375
transcript.pyannote[316].end 1135.43159375
transcript.pyannote[317].speaker SPEAKER_00
transcript.pyannote[317].start 1134.67221875
transcript.pyannote[317].end 1139.27909375
transcript.pyannote[318].speaker SPEAKER_01
transcript.pyannote[318].start 1140.79784375
transcript.pyannote[318].end 1144.79721875
transcript.pyannote[319].speaker SPEAKER_01
transcript.pyannote[319].start 1145.37096875
transcript.pyannote[319].end 1145.60721875
transcript.pyannote[320].speaker SPEAKER_01
transcript.pyannote[320].start 1146.11346875
transcript.pyannote[320].end 1157.43659375
transcript.pyannote[321].speaker SPEAKER_00
transcript.pyannote[321].start 1149.75846875
transcript.pyannote[321].end 1150.09596875
transcript.pyannote[322].speaker SPEAKER_01
transcript.pyannote[322].start 1157.97659375
transcript.pyannote[322].end 1161.99284375
transcript.pyannote[323].speaker SPEAKER_01
transcript.pyannote[323].start 1162.46534375
transcript.pyannote[323].end 1166.36346875
transcript.pyannote[324].speaker SPEAKER_00
transcript.pyannote[324].start 1164.55784375
transcript.pyannote[324].end 1168.18596875
transcript.pyannote[325].speaker SPEAKER_01
transcript.pyannote[325].start 1166.51534375
transcript.pyannote[325].end 1167.25784375
transcript.pyannote[326].speaker SPEAKER_00
transcript.pyannote[326].start 1168.57409375
transcript.pyannote[326].end 1169.83971875
transcript.pyannote[327].speaker SPEAKER_00
transcript.pyannote[327].start 1169.97471875
transcript.pyannote[327].end 1170.29534375
transcript.pyannote[328].speaker SPEAKER_00
transcript.pyannote[328].start 1170.48096875
transcript.pyannote[328].end 1171.40909375
transcript.pyannote[329].speaker SPEAKER_00
transcript.pyannote[329].start 1172.38784375
transcript.pyannote[329].end 1175.84721875
transcript.pyannote[330].speaker SPEAKER_00
transcript.pyannote[330].start 1176.33659375
transcript.pyannote[330].end 1192.19909375
transcript.pyannote[331].speaker SPEAKER_00
transcript.pyannote[331].start 1192.50284375
transcript.pyannote[331].end 1197.26159375
transcript.pyannote[332].speaker SPEAKER_00
transcript.pyannote[332].start 1202.72909375
transcript.pyannote[332].end 1203.03284375
transcript.pyannote[333].speaker SPEAKER_00
transcript.pyannote[333].start 1203.37034375
transcript.pyannote[333].end 1204.41659375
transcript.pyannote[334].speaker SPEAKER_01
transcript.pyannote[334].start 1205.00721875
transcript.pyannote[334].end 1205.19284375
transcript.pyannote[335].speaker SPEAKER_01
transcript.pyannote[335].start 1207.16721875
transcript.pyannote[335].end 1208.02784375
transcript.pyannote[336].speaker SPEAKER_01
transcript.pyannote[336].start 1208.46659375
transcript.pyannote[336].end 1209.27659375
transcript.pyannote[337].speaker SPEAKER_01
transcript.pyannote[337].start 1209.34409375
transcript.pyannote[337].end 1209.68159375
transcript.pyannote[338].speaker SPEAKER_01
transcript.pyannote[338].start 1211.11596875
transcript.pyannote[338].end 1218.06846875
transcript.pyannote[339].speaker SPEAKER_00
transcript.pyannote[339].start 1212.44909375
transcript.pyannote[339].end 1213.42784375
transcript.pyannote[340].speaker SPEAKER_01
transcript.pyannote[340].start 1218.62534375
transcript.pyannote[340].end 1224.16034375
transcript.pyannote[341].speaker SPEAKER_00
transcript.pyannote[341].start 1222.59096875
transcript.pyannote[341].end 1233.23909375
transcript.pyannote[342].speaker SPEAKER_00
transcript.pyannote[342].start 1233.69471875
transcript.pyannote[342].end 1233.96471875
transcript.pyannote[343].speaker SPEAKER_00
transcript.pyannote[343].start 1236.05721875
transcript.pyannote[343].end 1240.90034375
transcript.whisperx[0].start 0.343
transcript.whisperx[0].end 21.253
transcript.whisperx[0].text 請登記第七位徐欣怡委員請詢問謝謝主席 本席請證法官麻煩再請 被提名的證法官請說明
transcript.whisperx[1].start 32.54
transcript.whisperx[1].end 57.01
transcript.whisperx[1].text 政法官您好委員好您被總統提名為中華民國的大法官本席相信這個是身為法律人的榮耀本席也看過您的自傳還有相關的學經歷本席也對於您過去的專業學經歷深表敬佩今天我們會站在這裡
transcript.whisperx[2].start 57.981
transcript.whisperx[2].end 77.768
transcript.whisperx[2].text 主要就是為了我們要替人民尋找值得信賴的民主憲政忠誠的守護者我想您也了解大法官他不只是法條的解釋者他更是民主憲政的守護者防火牆所以
transcript.whisperx[3].start 78.905
transcript.whisperx[3].end 97.191
transcript.whisperx[3].text 我想今天希望您能夠放開心胸把握機會在這裡非常坦誠而且明確的來回答以下本席有三大重點的議題要請您向大眾來表達今天您要
transcript.whisperx[4].start 99.568
transcript.whisperx[4].end 125.84
transcript.whisperx[4].text 在這裡向大家證明您是值得託付的也是會守護我們民主憲政的大法官首先本席想跟您請教現在台灣社會對於重大暴力犯罪仍然有很強烈的判死的情緒民調也顯示有八成以上的民眾支持死刑
transcript.whisperx[5].start 126.943
transcript.whisperx[5].end 139.331
transcript.whisperx[5].text 那本席就想請教您對於死刑制度的基本立場是廢死還是保留就這個問題首先我想要講的是
transcript.whisperx[6].start 140.802
transcript.whisperx[6].end 161.328
transcript.whisperx[6].text 法官個人對於死刑純廢的主觀想法並不重要因為憲法的解釋是要依據客觀存在的價值體系法官不會因為他個人價值的偏好去取代憲法的價值所以死刑要不要廢除的這件事情
transcript.whisperx[7].start 162.526
transcript.whisperx[7].end 179.73
transcript.whisperx[7].text 他其實是問題是說大法官可不可能經由憲法的解釋去廢除死刑應該是這樣的一個問題那就這個問題也就是說從憲法的目前憲法建構的價值體系裡面死刑是不是合憲還是違憲那就這個問題來講
transcript.whisperx[8].start 183.407
transcript.whisperx[8].end 199.521
transcript.whisperx[8].text 我的結論應該就是不管是從就是說113憲判8號他從生命權的保障去著眼或者是其他大法官他從國家刑法權手段的這個憲法保留事項去
transcript.whisperx[9].start 200.714
transcript.whisperx[9].end 229.713
transcript.whisperx[9].text 探討目前來講就是死刑作為國家刑罰權的手段的這一點是沒有違憲的那在沒有違憲的前提之下要不要廢除死刑那我覺得這個是民主程序要去解決的因為您剛剛提到了我們一一三年憲判制第八號的判決所以我們特別把它設定的七項程序保障列出來我想您很熟悉
transcript.whisperx[10].start 230.413
transcript.whisperx[10].end 259.352
transcript.whisperx[10].text 那所以本席在這邊要接著追問因為剛剛您也有提到我們這七項裡面前六項實務上多已逐步落實那部分已透過這個法服制度或內部改革在進行所以您是否認為這六項就前面六項的程序保障已經足以對被告實質具有公平的訴訟權利保障請您檢答這個部分是不是這前面六項就夠了
transcript.whisperx[11].start 262.394
transcript.whisperx[11].end 282.524
transcript.whisperx[11].text 我要講的就是說目前實務上確實已經在做這六項所以這六項就足夠了那這第七項您覺得它是可能辦得到的嗎要一致決各級法院合議庭一致決那您支持或反對這個一致決的設計
transcript.whisperx[12].start 285.089
transcript.whisperx[12].end 295.881
transcript.whisperx[12].text 這個我覺得是一個程序上的問題就是說從我這第一個第一個我想就問您是非題這個一致決您支持或反對
transcript.whisperx[13].start 297.619
transcript.whisperx[13].end 323.88
transcript.whisperx[13].text 就是這第七項的 要各級法院合議庭須一致決妳認同嗎 妳認同要一致決嗎他的前提 我覺得就有商榷的餘地啦也就是說從程序上的觀點做不到嘛 對不對 一致決是不可能的是不是可能 這個都不是我們說了算你要他每一審所有法官都判死
transcript.whisperx[14].start 324.6
transcript.whisperx[14].end 335.775
transcript.whisperx[14].text 那这个是几乎是不可能好 没关系虽然您说这个是不是可能的你无法来这个回答那所以您支持这个一致绝的设计吗
transcript.whisperx[15].start 336.735
transcript.whisperx[15].end 361.936
transcript.whisperx[15].text 我的我的問題是說他有一個前提問題我覺得他是關於那個刑法是不是就有死刑這件實體法規定是不是合憲的一個申請其實適不適合納入那個程序法的合憲性要件這個我覺得是值得商榷的那尤其是不是刑法他本來就規定有死刑
transcript.whisperx[16].start 362.596
transcript.whisperx[16].end 386.178
transcript.whisperx[16].text 不是我的意思是說是不是需要一字決他才合憲這樣的論述是有一點點需要討論的而且一字決這件事情是現在我們的法院組織法跟刑事訴訟法都沒有的那大法官提出這樣的一個可能大家會覺得很突兀主要是因為在整個辯論的過程當中他也沒有
transcript.whisperx[17].start 386.658
transcript.whisperx[17].end 409.149
transcript.whisperx[17].text 就是說大家並沒有聚焦在這個地方所以可能大家都沒有呈現這個焦點以至於判決出來了之後大家就會覺得這個部分是沒有受到就是比較充分的辯論跟討論那所以如果您當年當年您就在憲法法庭你會支持這種結果嗎
transcript.whisperx[18].start 412.011
transcript.whisperx[18].end 431.337
transcript.whisperx[18].text 這個我沒有辦法回答假設性的問題妳還是可以坦誠一點回答因為大家也在看妳的態度還有立場我剛剛的那個回答其實已經有就是說就是審判的範圍跟程序的保障這個部分是需要去討論的
transcript.whisperx[19].start 432.737
transcript.whisperx[19].end 452.554
transcript.whisperx[19].text 我們的這個憲法不能不該偷偷改變我們社會對死刑的共識所以本席在這裡呢本席也表達我們本席的立場很清楚就是台灣現在應該保留死刑那這不僅是法律問題這更是社會正義跟民意的交匯點
transcript.whisperx[20].start 453.835
transcript.whisperx[20].end 477.706
transcript.whisperx[20].text 我們社會上有超過八成以上的民眾不贊成實質廢死 八成以上因為很多人擔心如果一旦我們國家的最高刑法死刑廢除了治安將惡化 而惡犯無所畏懼所以我們不能讓法律它成為冰冷的文字忽略了民眾的恐懼與憤怒
transcript.whisperx[21].start 479.126
transcript.whisperx[21].end 497.574
transcript.whisperx[21].text 那也有人說這個廢除死刑是文明進步的象徵但是本席更相信真正的文明進步是既能懲治邪惡讓惡徒畏懼也能夠保護好人防止無辜的蒙冤您認同嗎
transcript.whisperx[22].start 499.434
transcript.whisperx[22].end 512.752
transcript.whisperx[22].text 我目前也認為就目前我們的整體社會秩序跟民意還沒有達到廢除死刑的共識而且我也認為就是說它的前提應該是
transcript.whisperx[23].start 514.674
transcript.whisperx[23].end 516.956
transcript.whisperx[23].text 好 謝謝您接著本席要進入第二題第二題是
transcript.whisperx[24].start 540.288
transcript.whisperx[24].end 558.353
transcript.whisperx[24].text 有關司法遷移在實施憲政體制而且賦予法院司法審查權的國家像美國還有很多先進的民主國家司法遷移已經成為許多法官奉行的司法理念
transcript.whisperx[25].start 559.642
transcript.whisperx[25].end 580.97
transcript.whisperx[25].text 您應該知道司法遷移吧我想您的法學素養也是非常好的所以本席第一個想問的就是說司法遷移對您而言是什麼這個大概就是司法自治吧也就是我們就是依法審判然後再具體司法遷移只是一個自治嗎
transcript.whisperx[26].start 582.537
transcript.whisperx[26].end 607.668
transcript.whisperx[26].text 就是他在面對 除了是依法審判之外在面對一些其他權力衝突的時候在什麼時候介入他必須要持有的態度那所以像在當代民主社會中立法者他是代表人民的意志我們是民主憲政的國家
transcript.whisperx[27].start 609.915
transcript.whisperx[27].end 636.964
transcript.whisperx[27].text 經過政黨政治在國會的討論協商整個民主程序形成的法律這樣多元的整合是整個代議政治的基石所以請問當法律的核限性受到挑戰時大法官是否應該謹慎的介入那立法裁量您認為違憲審查的最低介入門檻界限是什麼
transcript.whisperx[28].start 639.97
transcript.whisperx[28].end 652.061
transcript.whisperx[28].text 這個問題很抽象可以請委員再具體一點嗎其實很簡單就是立法院是我們中華民國最高的立法機關立法院通過的法案
transcript.whisperx[29].start 653.792
transcript.whisperx[29].end 673.824
transcript.whisperx[29].text 司法院他應該不是立法院的這個上級機關所以對於立法通過的這樣的一個法案那大法官介入您覺得這個最低介入門檻是什麼可以任意介入嗎還是應該多謹慎的介入
transcript.whisperx[30].start 674.68
transcript.whisperx[30].end 690.951
transcript.whisperx[30].text 這個部分我想我們向來的那個司法院的釋字的解釋先例他有去闡釋這個界線他有什麼他有去闡釋那個的界線也就是說原則上他的那個程序的審查
transcript.whisperx[31].start 692.233
transcript.whisperx[31].end 710.629
transcript.whisperx[31].text 就是它的程序審查它通常它就有一個比較寬鬆就是有一個標準在那實體的內容的話當然就要看有沒有抵觸到憲法的基本原則我本席就在跟您討論這個我們也觀察到很多您剛剛講的解釋文像四字204號228號477號
transcript.whisperx[32].start 714.392
transcript.whisperx[32].end 741.768
transcript.whisperx[32].text 有太多過去大法官解釋他都再三的強調一件事立法裁量是憲法賦予立法機關的自由領域可是我們觀察到現在近來市縣機關的憲法法庭有越來越嚴格的審查密度以及越來越侵入立法裁量權範圍的趨勢所以這一個部分
transcript.whisperx[33].start 742.881
transcript.whisperx[33].end 766.963
transcript.whisperx[33].text 本席想表達的就是說我們的法官 大法官們其實都是學有專精 這個法學素養非常好但是也是屬於學歷優 可是背景純粹單一都是法學出身 同質性高但是立法院是來自全國民眾的名義
transcript.whisperx[34].start 768.644
transcript.whisperx[34].end 789.055
transcript.whisperx[34].text 113席的立委是帶著不同區域的民眾的名義來到立法院包含不同的領域教育經濟不同的族群這樣的一個名義來到立法院有等於說從我們整個我們國家的我們從社會的
transcript.whisperx[35].start 791.255
transcript.whisperx[35].end 809.98
transcript.whisperx[35].text 我們從山邊到海邊從本島到離島我們這113席的立委他是代表全國的民意在這裡制定出來的法令法條這個我們大法官可以任意的這樣子介入嗎
transcript.whisperx[36].start 811.36
transcript.whisperx[36].end 828.904
transcript.whisperx[36].text 您的看法委員如果講任意當然就不行那是不是這個司法遷移是不是應該謹慎世界各國還有過去很多的大法官都是這樣的一個態度所以本席要請你表達您針對司法遷移您的態度我的態度
transcript.whisperx[37].start 833.553
transcript.whisperx[37].end 858.412
transcript.whisperx[37].text 所以就是剛才講的那對於這個過去對於這個立法院通過的法條但是呢這個大法官就這樣子有很多呢介入否決您的看法你都沒有了解有這樣的所謂的介入或者是那個當然
transcript.whisperx[38].start 860.151
transcript.whisperx[38].end 887.162
transcript.whisperx[38].text 對於那個有沒有違反了憲法的基本原則大法官還是要去做審查這個是無可避免的審查是OK但是要不要介入所謂的審查跟介入這個怎麼樣去定義最後判決出來包含你看刑法他有死刑剛剛我們講刑法有死刑可是大法官他怎麼可以他這個
transcript.whisperx[39].start 889.335
transcript.whisperx[39].end 917.975
transcript.whisperx[39].text 解釋出來以後他要一致決這個就違反啊您剛剛也講啊沒有 我的意思是說我要講的就是說其實如果是法治國原則的話各個領域都必須要受到拘束本席覺得您對司法遷移似乎沒有很重視但是因為時間關係本席要進入我們今天第三個本席要跟您請教也要聽您的意見
transcript.whisperx[40].start 919.383
transcript.whisperx[40].end 939.126
transcript.whisperx[40].text 就是您應該了解什麼是麥卡錫主義麥卡錫主義有聽過有聽過不熟悉嗎請說就是像幾百年前的中世紀就是所謂的獵巫現象您了解嗎
transcript.whisperx[41].start 941.52
transcript.whisperx[41].end 968.522
transcript.whisperx[41].text 請問委員要問的是就是好比如說幾百年前的中世紀人們呢因為這個無知或是恐懼點燃了這個獵巫的火把那也就是說對於很多的事情沒有任何的證據然後就隨便的栽贓或隨便的入罪所以我們今年啊
transcript.whisperx[42].start 969.443
transcript.whisperx[42].end 979.394
transcript.whisperx[42].text 所以台灣今年我們114年台灣社會現在正陷入一種麥卡錫主義的陰影您的看法呢你還是不知道我不是不知道我是要請問一下委員指的是什麼嗎
transcript.whisperx[43].start 990.156
transcript.whisperx[43].end 1017.779
transcript.whisperx[43].text 說陷入這樣的陰影指的是什麼樣的事件或者是針對什麼樣的事情麥卡錫主義我花一點時間是在50年代我不是說這個主義我是說我原想要問說目前社會上所以你知道麥卡錫主義了了解現在社會上對於很多這個立場不同的人比如說現在我們的社會
transcript.whisperx[44].start 1019.827
transcript.whisperx[44].end 1045.997
transcript.whisperx[44].text 有很多的民代媒體甚至國安單位或者是匿名帳號對於人民或政黨進行無證據的指控甚至指控為什麼共諜紅色滲透共產黨中共同路人這種指控讓台灣陷入一種麥卡錫主義的意念您不知道嗎
transcript.whisperx[45].start 1051.363
transcript.whisperx[45].end 1069.196
transcript.whisperx[45].text 所以我原想要問的是什麼那對於這樣的麥卡錫主義現象您的看法是不是確實存在這樣的一個現象它是一個事實問題啊所以我沒有辦法去做回答
transcript.whisperx[46].start 1071.672
transcript.whisperx[46].end 1092.491
transcript.whisperx[46].text 現在很多啊 社會上好 那本席具體的來問好了如果有公權力或是輿論的勢力對異議者進行無證據的政治標籤和懲罰是否構成了對基本權的侵害我這樣問抽象的問題當然會構成那具體的案例是不是好 譬如說 我再具體一點
transcript.whisperx[47].start 1095.111
transcript.whisperx[47].end 1112.159
transcript.whisperx[47].text 沒有任何證據可能這個有些人他只是出席某些場合見了某些人然後就被貼標籤或指責說是舔共是中共同路人是共產黨你覺得這樣是不是侵犯了所謂基本權對當事人
transcript.whisperx[48].start 1115.851
transcript.whisperx[48].end 1138.808
transcript.whisperx[48].text 委員問的這些問題其實都是一個假設性的問題沒有假設性 現在都發生 您很少看一些媒體或輿論嗎不是 我的意思是說 它到底是確實的情節是什麼那這個人其實要看到具體的案例這樣子無證據的指控 這樣的行為是否違憲是否有侵害基本權
transcript.whisperx[49].start 1140.814
transcript.whisperx[49].end 1168.808
transcript.whisperx[49].text 如果照委員講的所謂無證據的指控那他當然是有可能侵害了他的權利是就是這樣但是到底現在都這樣怎麼樣的情況這個我們當然就是要個案來認定這個是作為法官沒有辦法去回答這樣算不算那樣算不算我要有具體的案例看到相關的事證但現在您沒辦法判定但剛剛您已經回答了以這種情況
transcript.whisperx[50].start 1170.609
transcript.whisperx[50].end 1197.143
transcript.whisperx[50].text 譬如說我們的憲法我們是保障我們的民眾思想包括言論各方面的自由那甚至剛剛本席說的沒有任何的證據隨便看到出席某些場合他就直接指控而且就貼標籤而且大肆的撻伐這個應該就危害了整個的基本權也是違憲的行為吧
transcript.whisperx[51].start 1203.638
transcript.whisperx[51].end 1208.888
transcript.whisperx[51].text 我還有時間委員是要回答嗎
transcript.whisperx[52].start 1211.172
transcript.whisperx[52].end 1232.726
transcript.whisperx[52].text 因為抽象的問題如果照那個構成要件符合當然是但是具體的情況是怎麼樣我沒有辦法回答這樣子也就是說如果他真的是無故的去做這樣假設去個中國大陸回來就被貼為舔共或者是共諜或是紅色滲透這樣的指控是不是就是違憲好
transcript.whisperx[53].start 1237.137
transcript.whisperx[53].end 1240.712
transcript.whisperx[53].text 謝謝許新委員也謝謝被提名的兩位相看兩無言