iVOD / 163124

Field Value
IVOD_ID 163124
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/163124
日期 2025-07-14
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 2025-07-14T16:38:06+08:00
結束時間 2025-07-14T16:58:43+08:00
影片長度 00:20:37
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ab52da33aba8292b55eba05c1fe9d356e71d587566aeaab6aabffe2a991c72a2235d1795ffdf2ae75ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 盧縣一
委員發言時間 16:38:06 - 16:58:43
會議時間 2025-07-14T09:00:00+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_01
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.45284375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 2.00534375
transcript.pyannote[1].end 2.79846875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 3.50721875
transcript.pyannote[2].end 6.49409375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 6.79784375
transcript.pyannote[3].end 8.11409375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 8.75534375
transcript.pyannote[4].end 12.63659375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 13.00784375
transcript.pyannote[5].end 14.13846875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 14.39159375
transcript.pyannote[6].end 16.31534375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 16.60221875
transcript.pyannote[7].end 17.61471875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 18.37409375
transcript.pyannote[8].end 19.45409375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 20.01096875
transcript.pyannote[9].end 22.12034375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 22.60971875
transcript.pyannote[10].end 24.28034375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 24.56721875
transcript.pyannote[11].end 25.42784375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 26.17034375
transcript.pyannote[12].end 29.00534375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 29.52846875
transcript.pyannote[13].end 32.88659375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 33.47721875
transcript.pyannote[14].end 36.26159375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 36.70034375
transcript.pyannote[15].end 38.60721875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 38.89409375
transcript.pyannote[16].end 40.10909375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 41.27346875
transcript.pyannote[17].end 42.28596875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 42.75846875
transcript.pyannote[18].end 43.34909375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 43.87221875
transcript.pyannote[19].end 44.68221875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 45.30659375
transcript.pyannote[20].end 46.03221875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 46.58909375
transcript.pyannote[21].end 47.63534375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 47.82096875
transcript.pyannote[22].end 49.71096875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 50.47034375
transcript.pyannote[23].end 53.33909375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 53.52471875
transcript.pyannote[24].end 54.75659375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 55.27971875
transcript.pyannote[25].end 55.36409375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 55.56659375
transcript.pyannote[26].end 58.65471875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 59.12721875
transcript.pyannote[27].end 60.37596875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 60.62909375
transcript.pyannote[28].end 61.50659375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 61.89471875
transcript.pyannote[29].end 65.20221875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 66.63659375
transcript.pyannote[30].end 68.22284375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 68.77971875
transcript.pyannote[31].end 70.63596875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 72.40784375
transcript.pyannote[32].end 75.17534375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 75.49596875
transcript.pyannote[33].end 75.93471875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 75.52971875
transcript.pyannote[34].end 76.30596875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 76.98096875
transcript.pyannote[35].end 77.31846875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 77.50409375
transcript.pyannote[36].end 80.40659375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 80.44034375
transcript.pyannote[37].end 84.22034375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 83.42721875
transcript.pyannote[38].end 84.15284375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 84.18659375
transcript.pyannote[39].end 88.03409375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 88.67534375
transcript.pyannote[40].end 92.03346875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 92.28659375
transcript.pyannote[41].end 93.23159375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 93.56909375
transcript.pyannote[42].end 103.54221875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 103.89659375
transcript.pyannote[43].end 106.47846875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 106.68096875
transcript.pyannote[44].end 108.48659375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 109.19534375
transcript.pyannote[45].end 112.06409375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 112.73909375
transcript.pyannote[46].end 116.55284375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 116.82284375
transcript.pyannote[47].end 117.58221875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 117.95346875
transcript.pyannote[48].end 118.56096875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 118.84784375
transcript.pyannote[49].end 120.77159375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 120.95721875
transcript.pyannote[50].end 122.32409375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 122.86409375
transcript.pyannote[51].end 126.37409375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 126.67784375
transcript.pyannote[52].end 127.70721875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 128.11221875
transcript.pyannote[53].end 128.46659375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 128.90534375
transcript.pyannote[54].end 130.93034375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 131.26784375
transcript.pyannote[55].end 133.37721875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 133.69784375
transcript.pyannote[56].end 135.01409375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 135.19971875
transcript.pyannote[57].end 137.51159375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 138.06846875
transcript.pyannote[58].end 140.14409375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 140.41409375
transcript.pyannote[59].end 143.02971875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 143.48534375
transcript.pyannote[60].end 144.12659375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 144.58221875
transcript.pyannote[61].end 148.48034375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 148.80096875
transcript.pyannote[62].end 151.36596875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 151.80471875
transcript.pyannote[63].end 154.53846875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 154.65659375
transcript.pyannote[64].end 155.46659375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 155.82096875
transcript.pyannote[65].end 158.20034375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 158.92596875
transcript.pyannote[66].end 162.46971875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 163.12784375
transcript.pyannote[67].end 164.74784375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 165.32159375
transcript.pyannote[68].end 169.55721875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 169.96221875
transcript.pyannote[69].end 174.19784375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 174.61971875
transcript.pyannote[70].end 175.31159375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 175.66596875
transcript.pyannote[71].end 178.93971875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 179.22659375
transcript.pyannote[72].end 181.13346875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 181.47096875
transcript.pyannote[73].end 182.82096875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 183.19221875
transcript.pyannote[74].end 187.44471875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 187.84971875
transcript.pyannote[75].end 188.99721875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 191.30909375
transcript.pyannote[76].end 207.96471875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 208.28534375
transcript.pyannote[77].end 223.01721875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 221.75159375
transcript.pyannote[78].end 227.15159375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 227.87721875
transcript.pyannote[79].end 230.37471875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 231.01596875
transcript.pyannote[80].end 233.81721875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 234.07034375
transcript.pyannote[81].end 234.62721875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 234.84659375
transcript.pyannote[82].end 235.52159375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 235.82534375
transcript.pyannote[83].end 239.63909375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 239.99346875
transcript.pyannote[84].end 245.51159375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 245.66346875
transcript.pyannote[85].end 270.85784375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 271.58346875
transcript.pyannote[86].end 277.86096875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 278.72159375
transcript.pyannote[87].end 280.22346875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 281.33721875
transcript.pyannote[88].end 283.76721875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 284.52659375
transcript.pyannote[89].end 285.85971875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 286.07909375
transcript.pyannote[90].end 287.53034375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 289.21784375
transcript.pyannote[91].end 298.73534375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 298.85346875
transcript.pyannote[92].end 304.86096875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 305.19846875
transcript.pyannote[93].end 308.25284375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 308.94471875
transcript.pyannote[94].end 317.66909375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 318.20909375
transcript.pyannote[95].end 323.17034375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 323.67659375
transcript.pyannote[96].end 327.55784375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 328.38471875
transcript.pyannote[97].end 329.12721875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 329.51534375
transcript.pyannote[98].end 332.77221875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 333.26159375
transcript.pyannote[99].end 337.29471875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 337.48034375
transcript.pyannote[100].end 337.93596875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 337.95284375
transcript.pyannote[101].end 339.52221875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 339.82596875
transcript.pyannote[102].end 341.34471875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 341.81721875
transcript.pyannote[103].end 346.27221875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 346.72784375
transcript.pyannote[104].end 348.21284375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 348.76971875
transcript.pyannote[105].end 349.71471875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 350.03534375
transcript.pyannote[106].end 351.43596875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 351.94221875
transcript.pyannote[107].end 352.31346875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 353.46096875
transcript.pyannote[108].end 357.17346875
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 357.64596875
transcript.pyannote[109].end 360.95346875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 361.18971875
transcript.pyannote[110].end 363.78846875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 363.85596875
transcript.pyannote[111].end 364.37909375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 364.86846875
transcript.pyannote[112].end 367.41659375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 367.88909375
transcript.pyannote[113].end 371.73659375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 373.77846875
transcript.pyannote[114].end 378.11534375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 378.11534375
transcript.pyannote[115].end 381.47346875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 381.84471875
transcript.pyannote[116].end 385.99596875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 386.16471875
transcript.pyannote[117].end 390.90659375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 391.26096875
transcript.pyannote[118].end 393.28596875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 393.53909375
transcript.pyannote[119].end 396.45846875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 396.67784375
transcript.pyannote[120].end 410.16096875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 399.58034375
transcript.pyannote[121].end 399.83346875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 410.48159375
transcript.pyannote[122].end 416.59034375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 418.02471875
transcript.pyannote[123].end 425.19659375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 425.24721875
transcript.pyannote[124].end 437.26221875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 437.71784375
transcript.pyannote[125].end 438.30846875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 438.42659375
transcript.pyannote[126].end 443.13471875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 442.61159375
transcript.pyannote[127].end 454.81221875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 456.07784375
transcript.pyannote[128].end 457.64721875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 458.52471875
transcript.pyannote[129].end 466.11846875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 466.70909375
transcript.pyannote[130].end 468.78471875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 469.24034375
transcript.pyannote[131].end 470.57346875
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 471.46784375
transcript.pyannote[132].end 472.80096875
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 473.29034375
transcript.pyannote[133].end 474.99471875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 475.43346875
transcript.pyannote[134].end 479.29784375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 479.85471875
transcript.pyannote[135].end 480.04034375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 480.31034375
transcript.pyannote[136].end 485.38971875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 484.90034375
transcript.pyannote[137].end 485.57534375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 485.57534375
transcript.pyannote[138].end 486.55409375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 485.60909375
transcript.pyannote[139].end 493.42221875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 493.82721875
transcript.pyannote[140].end 494.28284375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 494.60346875
transcript.pyannote[141].end 507.34409375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 496.62846875
transcript.pyannote[142].end 497.01659375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 507.74909375
transcript.pyannote[143].end 513.40221875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 513.60471875
transcript.pyannote[144].end 515.39346875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 515.83221875
transcript.pyannote[145].end 516.13596875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 516.25409375
transcript.pyannote[146].end 520.18596875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 520.40534375
transcript.pyannote[147].end 522.61596875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 523.08846875
transcript.pyannote[148].end 526.14284375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 526.21034375
transcript.pyannote[149].end 527.88096875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 527.94846875
transcript.pyannote[150].end 530.05784375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 530.37846875
transcript.pyannote[151].end 532.47096875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 532.85909375
transcript.pyannote[152].end 534.54659375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 535.06971875
transcript.pyannote[153].end 538.66409375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 539.35596875
transcript.pyannote[154].end 539.76096875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 540.73971875
transcript.pyannote[155].end 545.05971875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 545.83596875
transcript.pyannote[156].end 546.83159375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 547.38846875
transcript.pyannote[157].end 547.96221875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 548.29971875
transcript.pyannote[158].end 551.50596875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 551.79284375
transcript.pyannote[159].end 553.31159375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 553.61534375
transcript.pyannote[160].end 555.62346875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 555.74159375
transcript.pyannote[161].end 561.78284375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 562.00221875
transcript.pyannote[162].end 563.30159375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 563.52096875
transcript.pyannote[163].end 565.29284375
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 565.81596875
transcript.pyannote[164].end 571.60409375
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 571.97534375
transcript.pyannote[165].end 572.71784375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 572.80221875
transcript.pyannote[166].end 573.44346875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 573.61221875
transcript.pyannote[167].end 576.19409375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 576.37971875
transcript.pyannote[168].end 579.13034375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 579.58596875
transcript.pyannote[169].end 590.13284375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 590.14971875
transcript.pyannote[170].end 607.51409375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 607.95284375
transcript.pyannote[171].end 616.96409375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 617.80784375
transcript.pyannote[172].end 621.48659375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 621.87471875
transcript.pyannote[173].end 624.28784375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 624.57471875
transcript.pyannote[174].end 626.59971875
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 627.42659375
transcript.pyannote[175].end 635.22284375
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 635.71221875
transcript.pyannote[176].end 641.56784375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 642.54659375
transcript.pyannote[177].end 650.02221875
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 650.59596875
transcript.pyannote[178].end 651.97971875
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 652.48596875
transcript.pyannote[179].end 657.90284375
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 658.22346875
transcript.pyannote[180].end 661.26096875
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 662.15534375
transcript.pyannote[181].end 664.48409375
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 665.02409375
transcript.pyannote[182].end 671.35221875
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 671.63909375
transcript.pyannote[183].end 673.24221875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 673.32659375
transcript.pyannote[184].end 675.60471875
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 676.02659375
transcript.pyannote[185].end 676.43159375
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 676.81971875
transcript.pyannote[186].end 680.34659375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 680.43096875
transcript.pyannote[187].end 680.73471875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 680.71784375
transcript.pyannote[188].end 684.22784375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 683.31659375
transcript.pyannote[189].end 683.51909375
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 683.92409375
transcript.pyannote[190].end 691.70346875
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 691.92284375
transcript.pyannote[191].end 701.01846875
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 701.32221875
transcript.pyannote[192].end 702.92534375
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 703.12784375
transcript.pyannote[193].end 704.51159375
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 705.10221875
transcript.pyannote[194].end 706.14846875
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 706.28346875
transcript.pyannote[195].end 706.72221875
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 707.36346875
transcript.pyannote[196].end 710.53596875
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 711.24471875
transcript.pyannote[197].end 712.98284375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 713.23596875
transcript.pyannote[198].end 720.77909375
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 720.88034375
transcript.pyannote[199].end 721.52159375
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 721.79159375
transcript.pyannote[200].end 722.39909375
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 722.68596875
transcript.pyannote[201].end 727.78221875
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 729.11534375
transcript.pyannote[202].end 743.40846875
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 743.96534375
transcript.pyannote[203].end 744.96096875
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 745.31534375
transcript.pyannote[204].end 749.06159375
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 749.44971875
transcript.pyannote[205].end 750.52971875
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 750.64784375
transcript.pyannote[206].end 754.74846875
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 754.93409375
transcript.pyannote[207].end 756.77346875
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 757.04346875
transcript.pyannote[208].end 760.80659375
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 760.84034375
transcript.pyannote[209].end 765.70034375
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 766.00409375
transcript.pyannote[210].end 767.30346875
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 767.62409375
transcript.pyannote[211].end 773.78346875
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 772.16346875
transcript.pyannote[212].end 772.53471875
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 774.49221875
transcript.pyannote[213].end 780.55034375
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 780.82034375
transcript.pyannote[214].end 786.87846875
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 787.23284375
transcript.pyannote[215].end 789.47721875
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 789.54471875
transcript.pyannote[216].end 801.27284375
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 801.69471875
transcript.pyannote[217].end 812.89971875
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 813.08534375
transcript.pyannote[218].end 819.17721875
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 819.73409375
transcript.pyannote[219].end 824.08784375
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 824.98221875
transcript.pyannote[220].end 827.56409375
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 827.83409375
transcript.pyannote[221].end 835.12409375
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 835.71471875
transcript.pyannote[222].end 840.20346875
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 841.28346875
transcript.pyannote[223].end 843.96659375
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 844.50659375
transcript.pyannote[224].end 847.03784375
transcript.pyannote[225].speaker SPEAKER_01
transcript.pyannote[225].start 847.29096875
transcript.pyannote[225].end 850.29471875
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 851.34096875
transcript.pyannote[226].end 854.39534375
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 854.73284375
transcript.pyannote[227].end 857.48346875
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 857.66909375
transcript.pyannote[228].end 859.27221875
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 859.59284375
transcript.pyannote[229].end 860.13284375
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 860.41971875
transcript.pyannote[230].end 861.73596875
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 862.27596875
transcript.pyannote[231].end 866.29221875
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 866.59596875
transcript.pyannote[232].end 868.26659375
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 868.46909375
transcript.pyannote[233].end 874.20659375
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 874.64534375
transcript.pyannote[234].end 876.34971875
transcript.pyannote[235].speaker SPEAKER_01
transcript.pyannote[235].start 876.58596875
transcript.pyannote[235].end 885.39471875
transcript.pyannote[236].speaker SPEAKER_02
transcript.pyannote[236].start 886.13721875
transcript.pyannote[236].end 888.44909375
transcript.pyannote[237].speaker SPEAKER_02
transcript.pyannote[237].start 888.82034375
transcript.pyannote[237].end 899.68784375
transcript.pyannote[238].speaker SPEAKER_00
transcript.pyannote[238].start 899.14784375
transcript.pyannote[238].end 899.63721875
transcript.pyannote[239].speaker SPEAKER_02
transcript.pyannote[239].start 900.17721875
transcript.pyannote[239].end 905.45909375
transcript.pyannote[240].speaker SPEAKER_02
transcript.pyannote[240].start 905.81346875
transcript.pyannote[240].end 912.02346875
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 912.68159375
transcript.pyannote[241].end 913.05284375
transcript.pyannote[242].speaker SPEAKER_02
transcript.pyannote[242].start 913.54221875
transcript.pyannote[242].end 918.85784375
transcript.pyannote[243].speaker SPEAKER_02
transcript.pyannote[243].start 919.34721875
transcript.pyannote[243].end 919.44846875
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 919.73534375
transcript.pyannote[244].end 921.22034375
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 921.38909375
transcript.pyannote[245].end 927.27846875
transcript.pyannote[246].speaker SPEAKER_02
transcript.pyannote[246].start 927.49784375
transcript.pyannote[246].end 934.66971875
transcript.pyannote[247].speaker SPEAKER_01
transcript.pyannote[247].start 936.45846875
transcript.pyannote[247].end 936.55971875
transcript.pyannote[248].speaker SPEAKER_01
transcript.pyannote[248].start 936.84659375
transcript.pyannote[248].end 942.07784375
transcript.pyannote[249].speaker SPEAKER_01
transcript.pyannote[249].start 942.24659375
transcript.pyannote[249].end 943.02284375
transcript.pyannote[250].speaker SPEAKER_01
transcript.pyannote[250].start 943.37721875
transcript.pyannote[250].end 944.86221875
transcript.pyannote[251].speaker SPEAKER_01
transcript.pyannote[251].start 945.28409375
transcript.pyannote[251].end 946.68471875
transcript.pyannote[252].speaker SPEAKER_01
transcript.pyannote[252].start 946.98846875
transcript.pyannote[252].end 948.76034375
transcript.pyannote[253].speaker SPEAKER_01
transcript.pyannote[253].start 948.99659375
transcript.pyannote[253].end 949.62096875
transcript.pyannote[254].speaker SPEAKER_01
transcript.pyannote[254].start 950.26221875
transcript.pyannote[254].end 951.13971875
transcript.pyannote[255].speaker SPEAKER_02
transcript.pyannote[255].start 952.11846875
transcript.pyannote[255].end 953.45159375
transcript.pyannote[256].speaker SPEAKER_01
transcript.pyannote[256].start 953.55284375
transcript.pyannote[256].end 953.90721875
transcript.pyannote[257].speaker SPEAKER_02
transcript.pyannote[257].start 954.32909375
transcript.pyannote[257].end 960.10034375
transcript.pyannote[258].speaker SPEAKER_02
transcript.pyannote[258].start 960.62346875
transcript.pyannote[258].end 960.87659375
transcript.pyannote[259].speaker SPEAKER_02
transcript.pyannote[259].start 961.14659375
transcript.pyannote[259].end 967.03596875
transcript.pyannote[260].speaker SPEAKER_02
transcript.pyannote[260].start 967.52534375
transcript.pyannote[260].end 971.23784375
transcript.pyannote[261].speaker SPEAKER_02
transcript.pyannote[261].start 971.44034375
transcript.pyannote[261].end 974.84909375
transcript.pyannote[262].speaker SPEAKER_02
transcript.pyannote[262].start 975.40596875
transcript.pyannote[262].end 976.50284375
transcript.pyannote[263].speaker SPEAKER_02
transcript.pyannote[263].start 977.02596875
transcript.pyannote[263].end 980.11409375
transcript.pyannote[264].speaker SPEAKER_02
transcript.pyannote[264].start 980.68784375
transcript.pyannote[264].end 980.92409375
transcript.pyannote[265].speaker SPEAKER_02
transcript.pyannote[265].start 981.63284375
transcript.pyannote[265].end 983.65784375
transcript.pyannote[266].speaker SPEAKER_02
transcript.pyannote[266].start 984.55221875
transcript.pyannote[266].end 988.68659375
transcript.pyannote[267].speaker SPEAKER_02
transcript.pyannote[267].start 989.32784375
transcript.pyannote[267].end 992.63534375
transcript.pyannote[268].speaker SPEAKER_02
transcript.pyannote[268].start 993.14159375
transcript.pyannote[268].end 994.10346875
transcript.pyannote[269].speaker SPEAKER_02
transcript.pyannote[269].start 994.57596875
transcript.pyannote[269].end 997.73159375
transcript.pyannote[270].speaker SPEAKER_02
transcript.pyannote[270].start 998.17034375
transcript.pyannote[270].end 1001.57909375
transcript.pyannote[271].speaker SPEAKER_02
transcript.pyannote[271].start 1002.11909375
transcript.pyannote[271].end 1004.85284375
transcript.pyannote[272].speaker SPEAKER_02
transcript.pyannote[272].start 1005.29159375
transcript.pyannote[272].end 1007.65409375
transcript.pyannote[273].speaker SPEAKER_02
transcript.pyannote[273].start 1008.10971875
transcript.pyannote[273].end 1009.22346875
transcript.pyannote[274].speaker SPEAKER_02
transcript.pyannote[274].start 1009.64534375
transcript.pyannote[274].end 1013.57721875
transcript.pyannote[275].speaker SPEAKER_02
transcript.pyannote[275].start 1014.38721875
transcript.pyannote[275].end 1018.30221875
transcript.pyannote[276].speaker SPEAKER_02
transcript.pyannote[276].start 1018.69034375
transcript.pyannote[276].end 1024.54596875
transcript.pyannote[277].speaker SPEAKER_02
transcript.pyannote[277].start 1024.84971875
transcript.pyannote[277].end 1026.57096875
transcript.pyannote[278].speaker SPEAKER_02
transcript.pyannote[278].start 1027.12784375
transcript.pyannote[278].end 1028.47784375
transcript.pyannote[279].speaker SPEAKER_02
transcript.pyannote[279].start 1028.95034375
transcript.pyannote[279].end 1031.58284375
transcript.pyannote[280].speaker SPEAKER_02
transcript.pyannote[280].start 1031.98784375
transcript.pyannote[280].end 1034.90721875
transcript.pyannote[281].speaker SPEAKER_02
transcript.pyannote[281].start 1035.14346875
transcript.pyannote[281].end 1035.95346875
transcript.pyannote[282].speaker SPEAKER_01
transcript.pyannote[282].start 1037.38784375
transcript.pyannote[282].end 1037.74221875
transcript.pyannote[283].speaker SPEAKER_01
transcript.pyannote[283].start 1038.07971875
transcript.pyannote[283].end 1041.16784375
transcript.pyannote[284].speaker SPEAKER_01
transcript.pyannote[284].start 1041.60659375
transcript.pyannote[284].end 1041.99471875
transcript.pyannote[285].speaker SPEAKER_01
transcript.pyannote[285].start 1042.45034375
transcript.pyannote[285].end 1043.93534375
transcript.pyannote[286].speaker SPEAKER_01
transcript.pyannote[286].start 1044.52596875
transcript.pyannote[286].end 1045.50471875
transcript.pyannote[287].speaker SPEAKER_01
transcript.pyannote[287].start 1045.79159375
transcript.pyannote[287].end 1050.53346875
transcript.pyannote[288].speaker SPEAKER_01
transcript.pyannote[288].start 1051.34346875
transcript.pyannote[288].end 1056.28784375
transcript.pyannote[289].speaker SPEAKER_01
transcript.pyannote[289].start 1056.76034375
transcript.pyannote[289].end 1058.44784375
transcript.pyannote[290].speaker SPEAKER_01
transcript.pyannote[290].start 1058.68409375
transcript.pyannote[290].end 1059.49409375
transcript.pyannote[291].speaker SPEAKER_01
transcript.pyannote[291].start 1059.93284375
transcript.pyannote[291].end 1060.21971875
transcript.pyannote[292].speaker SPEAKER_01
transcript.pyannote[292].start 1060.75971875
transcript.pyannote[292].end 1062.93659375
transcript.pyannote[293].speaker SPEAKER_01
transcript.pyannote[293].start 1063.89846875
transcript.pyannote[293].end 1064.28659375
transcript.pyannote[294].speaker SPEAKER_01
transcript.pyannote[294].start 1064.75909375
transcript.pyannote[294].end 1067.25659375
transcript.pyannote[295].speaker SPEAKER_01
transcript.pyannote[295].start 1067.59409375
transcript.pyannote[295].end 1068.43784375
transcript.pyannote[296].speaker SPEAKER_02
transcript.pyannote[296].start 1070.46284375
transcript.pyannote[296].end 1076.60534375
transcript.pyannote[297].speaker SPEAKER_02
transcript.pyannote[297].start 1076.87534375
transcript.pyannote[297].end 1096.14659375
transcript.pyannote[298].speaker SPEAKER_02
transcript.pyannote[298].start 1096.65284375
transcript.pyannote[298].end 1099.42034375
transcript.pyannote[299].speaker SPEAKER_02
transcript.pyannote[299].start 1099.75784375
transcript.pyannote[299].end 1102.22159375
transcript.pyannote[300].speaker SPEAKER_02
transcript.pyannote[300].start 1102.76159375
transcript.pyannote[300].end 1103.57159375
transcript.pyannote[301].speaker SPEAKER_02
transcript.pyannote[301].start 1105.63034375
transcript.pyannote[301].end 1112.19471875
transcript.pyannote[302].speaker SPEAKER_02
transcript.pyannote[302].start 1113.08909375
transcript.pyannote[302].end 1115.97471875
transcript.pyannote[303].speaker SPEAKER_01
transcript.pyannote[303].start 1115.63721875
transcript.pyannote[303].end 1118.60721875
transcript.pyannote[304].speaker SPEAKER_01
transcript.pyannote[304].start 1119.26534375
transcript.pyannote[304].end 1123.01159375
transcript.pyannote[305].speaker SPEAKER_01
transcript.pyannote[305].start 1123.38284375
transcript.pyannote[305].end 1134.70596875
transcript.pyannote[306].speaker SPEAKER_00
transcript.pyannote[306].start 1126.84221875
transcript.pyannote[306].end 1126.94346875
transcript.pyannote[307].speaker SPEAKER_01
transcript.pyannote[307].start 1135.06034375
transcript.pyannote[307].end 1138.77284375
transcript.pyannote[308].speaker SPEAKER_01
transcript.pyannote[308].start 1139.51534375
transcript.pyannote[308].end 1140.27471875
transcript.pyannote[309].speaker SPEAKER_01
transcript.pyannote[309].start 1140.62909375
transcript.pyannote[309].end 1147.83471875
transcript.pyannote[310].speaker SPEAKER_01
transcript.pyannote[310].start 1148.47596875
transcript.pyannote[310].end 1149.60659375
transcript.pyannote[311].speaker SPEAKER_01
transcript.pyannote[311].start 1150.21409375
transcript.pyannote[311].end 1160.82846875
transcript.pyannote[312].speaker SPEAKER_02
transcript.pyannote[312].start 1161.40221875
transcript.pyannote[312].end 1168.67534375
transcript.pyannote[313].speaker SPEAKER_02
transcript.pyannote[313].start 1169.19846875
transcript.pyannote[313].end 1172.79284375
transcript.pyannote[314].speaker SPEAKER_02
transcript.pyannote[314].start 1173.02909375
transcript.pyannote[314].end 1174.37909375
transcript.pyannote[315].speaker SPEAKER_02
transcript.pyannote[315].start 1174.93596875
transcript.pyannote[315].end 1175.56034375
transcript.pyannote[316].speaker SPEAKER_02
transcript.pyannote[316].start 1175.74596875
transcript.pyannote[316].end 1180.63971875
transcript.pyannote[317].speaker SPEAKER_02
transcript.pyannote[317].start 1181.01096875
transcript.pyannote[317].end 1182.64784375
transcript.pyannote[318].speaker SPEAKER_02
transcript.pyannote[318].start 1182.79971875
transcript.pyannote[318].end 1186.83284375
transcript.pyannote[319].speaker SPEAKER_02
transcript.pyannote[319].start 1187.27159375
transcript.pyannote[319].end 1189.49909375
transcript.pyannote[320].speaker SPEAKER_02
transcript.pyannote[320].start 1189.85346875
transcript.pyannote[320].end 1193.14409375
transcript.pyannote[321].speaker SPEAKER_02
transcript.pyannote[321].start 1193.34659375
transcript.pyannote[321].end 1196.19846875
transcript.pyannote[322].speaker SPEAKER_02
transcript.pyannote[322].start 1196.53596875
transcript.pyannote[322].end 1198.93221875
transcript.pyannote[323].speaker SPEAKER_01
transcript.pyannote[323].start 1199.05034375
transcript.pyannote[323].end 1203.01596875
transcript.pyannote[324].speaker SPEAKER_00
transcript.pyannote[324].start 1217.29221875
transcript.pyannote[324].end 1222.18596875
transcript.pyannote[325].speaker SPEAKER_00
transcript.pyannote[325].start 1222.84409375
transcript.pyannote[325].end 1224.36284375
transcript.pyannote[326].speaker SPEAKER_00
transcript.pyannote[326].start 1224.66659375
transcript.pyannote[326].end 1229.74596875
transcript.pyannote[327].speaker SPEAKER_00
transcript.pyannote[327].start 1229.96534375
transcript.pyannote[327].end 1236.96846875
transcript.whisperx[0].start 0.08
transcript.whisperx[0].end 24.952
transcript.whisperx[0].text 各位,剛看了,不是剛看,這個月,或者是說這幾個禮拜,剛看了你的資料,大概看到了就是你有著作專書四本,論文52,期刊100,義文13,研究計畫26,專題演講或者是學術研討76,也就是說你非常的所有專精,
transcript.whisperx[1].start 26.192
transcript.whisperx[1].end 54.56
transcript.whisperx[1].text 我也深信你應該可以升任大法官這個職務經過這幾個委員的質詢我大概每個都有聽到那我就針對有些是針對原住民的部分有些是針對司法不公的部分就就這樣那我們台灣現在一直說我們是以南島文化優越有別於中國那可是我要跟你說的是我們的認同是一樣的我們的認同是中華民國
transcript.whisperx[2].start 55.606
transcript.whisperx[2].end 70.382
transcript.whisperx[2].text 我們看到中華民國的國旗,聽到中華民國的國歌,我們都會肅然起敬,有時候會不禁傷人淚下,尤其是我們的選手得到金牌的時候。那我要問你就是說,現在到目前為止有多少大法官,
transcript.whisperx[3].start 72.575
transcript.whisperx[3].end 87.929
transcript.whisperx[3].text 目前為止你說中華民國憲法15位到現在從民國三十幾到現在你說累計是不是很抱歉我不知道沒有去計算我也沒有計算所以我要告訴你我有查過沒有一位是原住民
transcript.whisperx[4].start 88.715
transcript.whisperx[4].end 108.275
transcript.whisperx[4].text 因為我們常常說優越,說我們是南島文化的一個起源,我們甚至在現在在聯合國,或者說參與很多國際會議都說我們是以南島文化自居,可是我們目前沒有一位。我要凸顯的就是說,我們還是主流社會的一個決定的一個架子在框架我們。
transcript.whisperx[5].start 109.232
transcript.whisperx[5].end 137.258
transcript.whisperx[5].text 那目前也沒有一位外交官是原住民那可是我們到南島有些國家比如說泛太平洋國家尤其是印尼、菲律賓、馬來西亞這些跟我們膚色、語法一模一樣的國家的時候可是卻沒有一位我們是台灣原住民作為外交官的一個身份在那邊與他們交流或者是溝通這是我要為原住民說的一個非常不公平的地方
transcript.whisperx[6].start 138.138
transcript.whisperx[6].end 157.182
transcript.whisperx[6].text 接下來我講到這次我們大罷免的時候遇到的一些司法不公平的對待那憲法80條你剛有說我有聽到是超越黨派獨立審判不受任何干涉我不知道包括不包括檢察官不過就看現在這個數據來看就6月25號之前中選會的一個資料來說
transcript.whisperx[7].start 163.343
transcript.whisperx[7].end 188.93
transcript.whisperx[7].text 連署前死亡死亡連署所牽涉到的委員應該有16位重複連署23000多那偽造的339牽涉到的委員應該有11位可是這裡面沒有一個是有被調查也沒有被檢調單位說請到來問那可是我們藍營有11個人在押有93位被起訴我想問你的看法
transcript.whisperx[8].start 192.512
transcript.whisperx[8].end 213.806
transcript.whisperx[8].text 當然我可能預測到委員您要提問的方向不過因為這個跟不管是我作為大法官被提名人或者是截至目前為止自己作為學術工作者的這個社會經驗來講相距真的是很遠
transcript.whisperx[9].start 216.488
transcript.whisperx[9].end 226.574
transcript.whisperx[9].text 這個恐怕是一個事實認定的問題我還是要突顯告訴你說我們目前看到的司法不公的狀態
transcript.whisperx[10].start 227.932
transcript.whisperx[10].end 256.92
transcript.whisperx[10].text 那接下來我們講到原住民自治那原住民自治這個法律是在陳水扁總統時代通過的2005年2月10號到現在已經整整20年如果我們就原住民自治的法條關於有三個也就是說應該是預期意願然後保障原住民主平等地位的自主發展實行原住民主自治第五條就是說每年要編列預算好20年過去有沒有編列沒有
transcript.whisperx[11].start 257.6
transcript.whisperx[11].end 279.429
transcript.whisperx[11].text 第六,如果這次全憲發生爭議的時候應該由總統府召開,也就是說這個位階擺得很高,可是從公佈日到現在沒有進行,也就是說現在還說是部落公法人士在事辦的階段,而且還沒有開始事辦。所以如果就這樣的一個,
transcript.whisperx[12].start 281.537
transcript.whisperx[12].end 307.389
transcript.whisperx[12].text 這樣的一個狀況來講我是不是要問你說公部門有沒有瀆職有沒有違憲這個問題好謝謝委員的問題這個原住民自治尤其是原基法裡面確實目前我們在規範的原來的良法美意據我的理解跟我們在原住民自治行政的推展上面確實有一段很大的落差
transcript.whisperx[13].start 309.03
transcript.whisperx[13].end 332.415
transcript.whisperx[13].text 那有沒有立法帶墮進而導致或者是說行政帶墮進而導致違憲的情勢今天這個時間可能無法容許我詳細跟委員報告不過我可以跟委員分享的是部落公法人其實我們到目前為止行政法院穩定的見解
transcript.whisperx[14].start 333.291
transcript.whisperx[14].end 351.198
transcript.whisperx[14].text 都不認為原民會所公布的那些是公法人其實這個問題在我看來是好解決的為什麼我們只要依照原基法的規定將部落公法人的認定的詞法與規範進而就可以推載所以
transcript.whisperx[15].start 353.493
transcript.whisperx[15].end 371.52
transcript.whisperx[15].text 到目前為止就變成行政部門認定是公法人法院部門認定不是公法人的一個窘境那我的意思是說就已經20年過去了有沒有辦法可以讓它加快或者說有沒有可以歸咎的地方為什麼一直都停擺在那裡
transcript.whisperx[16].start 374.467
transcript.whisperx[16].end 393.124
transcript.whisperx[16].text 這背後的成因我不是很清楚還有一個法律是關於我們原住民健康的我們大家都知道我們為什麼要推原住民健康法因為我們現在平均裡面大概差了目前主流社會還在差七歲左右那之前當然經過了很多的努力
transcript.whisperx[17].start 393.764
transcript.whisperx[17].end 415.946
transcript.whisperx[17].text 當然平均裡面也不是單一項可以解決的不過就原住民健康法在112年5月26號通過到目前為止兩年過去它的第二條第二項它有指定機構要專責單位來開始籌設可是目前為止也是毫無動靜那這樣我們是不是可以指責中央主管機關
transcript.whisperx[18].start 418.566
transcript.whisperx[18].end 436.957
transcript.whisperx[18].text 當然站在我們現行的法律制度底下我們有多元的管道去促使執法主管機關去踐行這個法律的規範的議制例如說非正式的陳情跟請願的管道
transcript.whisperx[19].start 437.816
transcript.whisperx[19].end 457.253
transcript.whisperx[19].text 那正式的法律的途徑這就是陳如剛跟委員報告的有的時候法律真的很漂亮不過就是一直擺在那裡沒有用所以我們要我們身為大法官我說如果以後身為大法官我們要怎麼把這些很好的法案來落實你的建議有沒有具體建議
transcript.whisperx[20].start 458.584
transcript.whisperx[20].end 468.794
transcript.whisperx[20].text 如果以大法官的職責而言當這樣的一個消極立法或者是行政不作為真的足以強度到違憲的狀態
transcript.whisperx[21].start 471.636
transcript.whisperx[21].end 493.259
transcript.whisperx[21].text 我們目前大法官運作的實務我們會在主文裡面預知科與立法者或行政部門依解釋的意旨一個是原紀法二十年過去一個是原檢法兩年過去我怕他也跟原紀法一樣躺在那裡躺了好多年
transcript.whisperx[22].start 493.9
transcript.whisperx[22].end 521.462
transcript.whisperx[22].text 所以我們就是擔心的部分就是這樣那你的任期是8如果說你有幸成為大法官任期是8年我想8年以後如果有機會再提問你的話我不希望這個結果還是一樣的所以我們希望能夠如果你身為大法官可以給我們一些方向讓我們知道說未來把這個法律要怎麼來執行最近我有去南投縣地利村一個咕咕山採礦的一個問題
transcript.whisperx[23].start 523.763
transcript.whisperx[23].end 544.11
transcript.whisperx[23].text 當天我收到的一個消息就是說他們7月5號要舉行部落的一些抗議活動因為他們在6月29號通過了知情同意也就是以131比88票同意採礦不過當地的年輕人或者是在外生活的族人回去就是要去質問說
transcript.whisperx[24].start 545.891
transcript.whisperx[24].end 565.176
transcript.whisperx[24].text 知情同意知多少情同了什麼意族人真的知道嗎所以這樣的一個類似很粗糙的一個做法等於是強行通過了採礦同意採礦不過我們就看這個歷程來說他去年8月24號舉行也舉行了
transcript.whisperx[25].start 566.637
transcript.whisperx[25].end 589.359
transcript.whisperx[25].text 這個所謂的同意結果是反對票比同意票多也就是說他是沒有辦法結果還不到一年的時間又開會那我說他一定是背後一個很大的經濟利益他不斷的要去推這個知情同意他其實在這個同意之前還有三月份還有辦過一次留會因為人數不足的問題
transcript.whisperx[26].start 590.376
transcript.whisperx[26].end 616.405
transcript.whisperx[26].text 所以当这个利益大到一个程度的时候,这个知情同意权是不是应该是一个专者单位来弄,而不是小小的一个承办人来弄,然后呢,结果该公告的人没有公告,该通知的人没有通知,然后呢,目前他们那个,目前的,同意的一个单位的是户而不是人,是不是可以全权代表所有主人的想法,我觉得这是可以值得商榷的。
transcript.whisperx[27].start 617.884
transcript.whisperx[27].end 640.972
transcript.whisperx[27].text 就你的看法來說這個自行同意我們尤其是原住民基本法第21條你覺得是不是應該更周延一點我支持委員的這個方向就是說諮商同意權自行同意權我們21條委員剛剛所提到的這個個案其實我們在台東也遇到過
transcript.whisperx[28].start 642.991
transcript.whisperx[28].end 671.083
transcript.whisperx[28].text 部落裡面的一群人做了同意另外一群人跳出來覺得我的意見沒有被採納根本沒有討論所以目前在行政法院針對這個是有訴訟案件的也就是說部落會議的內部衝突那從立法面來講諮商同意其實是以部落自決為立法的核心宗旨
transcript.whisperx[29].start 671.704
transcript.whisperx[29].end 691.537
transcript.whisperx[29].text 所以它的關鍵是依照傳統慣習跟原住民族的自治從這個角度去出發當然如果它弱於少數人被控制又回到原住民自治的問題所以我的意思就是說剛才那個知情同意它的頻率是不是太頻繁了
transcript.whisperx[30].start 692.017
transcript.whisperx[30].end 710.237
transcript.whisperx[30].text 本來應該是如果說就這樣來看的話已經這一年已經三次了如果他強行規範就是說應該明定他的只要不同意應該是兩年兩年內不得再申請知情同意權不然部落一天到晚被召集就是為了財團的利益在那邊
transcript.whisperx[31].start 712.054
transcript.whisperx[31].end 727.501
transcript.whisperx[31].text 鬥爭,那有的人我不知道是怎麼樣或者是被摸了頭,結果他本來是反對變成同意,可是我覺得要有一個timing,不能沒有多久又想要來推翻之前所謂的不同意的一個
transcript.whisperx[32].start 729.327
transcript.whisperx[32].end 741.659
transcript.whisperx[32].text 這個大概跟公投法的設計有點類似不過基本上這是主管機關立法形成自由在執法的部分那當然如果主管機關針對這個部分不作為
transcript.whisperx[33].start 745.522
transcript.whisperx[33].end 760.708
transcript.whisperx[33].text 當然在現行的憲政體制之下往上一層就是大院等於立法形成權可不可以考慮在相關適當的法律透過意見的表達看看這個部分有沒有修法
transcript.whisperx[34].start 760.888
transcript.whisperx[34].end 786.736
transcript.whisperx[34].text 我相信部落他們還是會提出他們的救濟看是什麼樣的一個程序來弄接下來就是我之前有拜讀到你的論文就是原住民保留地權利設定的地方權責劃分剛剛好我們台東也發生一個一個鄉發生一個就是類似登記不實或者是說就是冒名登記這些諸如此類的事情就被鄉長就要被提出罷免
transcript.whisperx[35].start 787.296
transcript.whisperx[35].end 811.853
transcript.whisperx[35].text 那後來整體的結果,6月24號台東縣政府就去調查發現他們是強調是行政疏失,未查有違法情勢來做一個類似像總total那我看到你的一個結論就是說在部落公法人施刑之前,實行原罪名保留地無償取得所有權的取得規劃有直轄市縣市政府主管享有
transcript.whisperx[36].start 813.214
transcript.whisperx[36].end 840.097
transcript.whisperx[36].text 另一方納入絕大多數原住民所組成的鄉鎮市區公所原住民保留土地權利審查委員會必要的參與機制也就是土審會我們所說的然後可是現在你也希望說說不定這些曾經的昙花一線可以回來變成是主導的單位鄉鎮區公所可是現在有一個問題就是如果這些土審會的委員都是鄉長的人
transcript.whisperx[37].start 841.388
transcript.whisperx[37].end 850.191
transcript.whisperx[37].text 是不是就會產生一些弊端然後有些香比如說仁愛香或者是比較大的香它甚至比彰化線還要大
transcript.whisperx[38].start 852.081
transcript.whisperx[38].end 873.858
transcript.whisperx[38].text 這麼大的一個領地,可是圖神委員就是那麼幾個人,他怎麼會了解很遙遠的地方的事情?所以主人的建議就是說,這個部落應該是以部落為單位,而不是以鄉為單位,它的透明度一定要夠,不然這個之前紛紛擾擾,不知道好幾個月的時間,連續都是海端鄉的事情,
transcript.whisperx[39].start 874.739
transcript.whisperx[39].end 885.098
transcript.whisperx[39].text 所以我希望就是說以後如果你有幸當大法官的時候就原住民保留地這個部分我希望你之前有研究過我希望你再提出一些你的看法出來
transcript.whisperx[40].start 886.235
transcript.whisperx[40].end 911.334
transcript.whisperx[40].text 是 謝謝委員的鼓勵那元寶地 各位有人如果看到我這個凝結錄的這一段其實前面有一個預設的前提就是在公法人化之前那我也蠻認同剛剛委員您所說的是不是有可能讓部落本身多參與這個有關元寶地的相關的所有權取得的意見
transcript.whisperx[41].start 913.635
transcript.whisperx[41].end 934.504
transcript.whisperx[41].text 其實原保地本來就是保護保障原住民族的生計所以適時的而且高比例的去納入原住民族自己的意見我覺得這個是一個符合原保地設計的立法意旨所以基本上這個方向我也是支持的
transcript.whisperx[42].start 936.943
transcript.whisperx[42].end 953.245
transcript.whisperx[42].text 就針對富裕的部分我還是要提出我的想法來問你一下就是我們現在財化法這個說後來我們中央不給我們一般性補助款的話你覺得有沒有危險一般性補助款
transcript.whisperx[43].start 955.504
transcript.whisperx[43].end 983.223
transcript.whisperx[43].text 一般性補助款是根據財化法地方制度法的規定為了橫貧地方的發展所給予的一種補助款的項目那這成如我剛剛在回覆其他委員的質詢時我所提到的一貫的立場原則上一般性補助款的發給中央有裁量權
transcript.whisperx[44].start 984.605
transcript.whisperx[44].end 1013.464
transcript.whisperx[44].text 但是不代表這個裁量權完全無限制他如果因為一般性的補助款未給予而導致地方自治團體自治事項難以推行時那這個時候在憲法的層次來看他可能就會去危及地方自治被憲法作為制度性保障的一個界面
transcript.whisperx[45].start 1014.423
transcript.whisperx[45].end 1035.767
transcript.whisperx[45].text 在這樣的一個諸多要件該當的情況之下我就會認為這個時候中央他的裁量是收縮到零的狀態也就是說他就有義務對地方收支短差的部分透過一般補助款的方式給予補助
transcript.whisperx[46].start 1038.181
transcript.whisperx[46].end 1062.756
transcript.whisperx[46].text 最後幾分鐘我再問你一下關於那個威瑪憲法的問題就是說你曾經我看到你對威瑪憲法都是用萬劫不復這四個字在形容它那也就是說它有緊急權跟主動解散國會加這個兩項權利那反觀我們現在在國會一年多來所經歷的這些事情
transcript.whisperx[47].start 1064.858
transcript.whisperx[47].end 1068.305
transcript.whisperx[47].text 总统有没有扩取一个倾向呢
transcript.whisperx[48].start 1071.363
transcript.whisperx[48].end 1095.833
transcript.whisperx[48].text 委員問了一個難度蠻高的政治的問題目前台灣的國會跟院還有府之間的關係當然直接來跟委員報告直接的關聯性是一個政黨政治的運作的
transcript.whisperx[49].start 1097.193
transcript.whisperx[49].end 1118.126
transcript.whisperx[49].text 正面跟負面的結果那有沒有或全我自己觀察到的實質上我當然不在其中我很難跟委員做評論但是目前看起來的還是行政院我個人的感受就有到因為為什麼呢
transcript.whisperx[50].start 1119.383
transcript.whisperx[50].end 1138.489
transcript.whisperx[50].text 以前1919到1933這14年裡面他解散七次國會他已經使用250次對不對那我們現在已經不斷的被複製然後不斷要被實現在一年裡面已經複製七次那我覺得他是不是也是變相的也有
transcript.whisperx[51].start 1139.554
transcript.whisperx[51].end 1159.453
transcript.whisperx[51].text 可以去說他是不是也是在用兩個權力緊急權跟主動解散國會可是我們現在是用視線跟富裕這樣的兩把武器在制衡國會是不是也有這方面的疑慮我才會講說會不會走到萬劫不復你所說的這四個字
transcript.whisperx[52].start 1161.714
transcript.whisperx[52].end 1189.361
transcript.whisperx[52].text 謝謝委員比較具體的這個提問就複義而言我個人認為那是憲政設計上面關於政治解決的途徑那這個部分我認為沒有那能不能不斷的提起憲法訴訟誠如其他被提名人在答覆的回答一樣他基本上只要符合受理的要件憲法作為政治之法
transcript.whisperx[53].start 1190.161
transcript.whisperx[53].end 1195.204
transcript.whisperx[53].text 憲法法庭有時候其實也很難去阻絕這樣從政治紛爭轉變成法律紛爭的正義問題
transcript.whisperx[54].start 1217.332
transcript.whisperx[54].end 1236.647
transcript.whisperx[54].text 好 謝謝盧委員也謝謝被提名人張教授報告全院委員會對大法官被提名人詹振榮詢答部分到此為止謝謝被提名人列席答詢另外有關各黨團對被提名人