iVOD / 158081

Field Value
IVOD_ID 158081
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/158081
日期 2024-12-10
影片種類 Clip
開始時間 2024-12-10T09:13:42+08:00
結束時間 2024-12-10T09:34:46+08:00
影片長度 00:21:04
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/29fe42b2a7280ca7c60d54005cac31ec36e3fd37d751600aa7f92cceafbe799a42429a604935b5345ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃國昌
委員發言時間 09:13:42 - 09:34:46
會議時間 2024-12-10T09:00:00+08:00
會議名稱 第11屆第2會期第2次全院委員會(事由:總統咨,茲依據中華民國憲法增修條文第5條規定,提名張文貞、姚立明、何賴傑、陳運財、王碧芳、廖福特、劉靜怡7位為司法院大法官,並以張文貞為院長、姚立明為副院長,咨請同意案。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 24.82034375
transcript.pyannote[0].end 26.94659375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 27.70596875
transcript.pyannote[1].end 31.67159375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 40.69971875
transcript.pyannote[2].end 41.64471875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 41.91471875
transcript.pyannote[3].end 45.22221875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 41.96534375
transcript.pyannote[4].end 42.35346875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 47.02784375
transcript.pyannote[5].end 48.07409375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 48.47909375
transcript.pyannote[6].end 49.55909375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 49.86284375
transcript.pyannote[7].end 50.90909375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 51.71909375
transcript.pyannote[8].end 55.16159375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 55.58346875
transcript.pyannote[9].end 56.95034375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 57.70971875
transcript.pyannote[10].end 59.21159375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 59.93721875
transcript.pyannote[11].end 61.42221875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 62.09721875
transcript.pyannote[12].end 64.66221875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 64.96596875
transcript.pyannote[13].end 66.46784375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 66.95721875
transcript.pyannote[14].end 68.35784375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 69.31971875
transcript.pyannote[15].end 73.31909375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 74.34846875
transcript.pyannote[16].end 76.93034375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 77.33534375
transcript.pyannote[17].end 80.18721875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 81.97596875
transcript.pyannote[18].end 83.25846875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 83.56221875
transcript.pyannote[19].end 86.71784375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 86.83596875
transcript.pyannote[20].end 105.60096875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 98.53034375
transcript.pyannote[21].end 98.64846875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 100.99409375
transcript.pyannote[22].end 102.41159375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 104.21721875
transcript.pyannote[23].end 106.86659375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 107.23784375
transcript.pyannote[24].end 107.98034375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 108.95909375
transcript.pyannote[25].end 110.10659375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 110.66346875
transcript.pyannote[26].end 115.20284375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 115.79346875
transcript.pyannote[27].end 118.34159375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 118.56096875
transcript.pyannote[28].end 122.81346875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 124.63596875
transcript.pyannote[29].end 126.27284375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 126.40784375
transcript.pyannote[30].end 146.43846875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 143.36721875
transcript.pyannote[31].end 143.90721875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 144.70034375
transcript.pyannote[32].end 146.35409375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 147.23159375
transcript.pyannote[33].end 148.46346875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 147.26534375
transcript.pyannote[34].end 148.64909375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 149.15534375
transcript.pyannote[35].end 167.54909375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 164.93346875
transcript.pyannote[36].end 171.00846875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 171.86909375
transcript.pyannote[37].end 216.28409375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 216.72284375
transcript.pyannote[38].end 220.14846875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 220.62096875
transcript.pyannote[39].end 223.57409375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 224.11409375
transcript.pyannote[40].end 225.05909375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 225.85221875
transcript.pyannote[41].end 228.04596875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 228.60284375
transcript.pyannote[42].end 235.35284375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 235.36971875
transcript.pyannote[43].end 236.16284375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 236.19659375
transcript.pyannote[44].end 240.61784375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 243.09846875
transcript.pyannote[45].end 246.96284375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 246.96284375
transcript.pyannote[46].end 248.02596875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 249.05534375
transcript.pyannote[47].end 252.78471875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 254.30346875
transcript.pyannote[48].end 255.87284375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 256.00784375
transcript.pyannote[49].end 259.24784375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 258.92721875
transcript.pyannote[50].end 261.84659375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 262.63971875
transcript.pyannote[51].end 264.51284375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 265.08659375
transcript.pyannote[52].end 269.65971875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 270.14909375
transcript.pyannote[53].end 272.91659375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 273.38909375
transcript.pyannote[54].end 275.59971875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 276.15659375
transcript.pyannote[55].end 279.19409375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 279.44721875
transcript.pyannote[56].end 285.33659375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 285.67409375
transcript.pyannote[57].end 287.64846875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 288.32346875
transcript.pyannote[58].end 290.01096875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 290.63534375
transcript.pyannote[59].end 291.63096875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 292.18784375
transcript.pyannote[60].end 296.13659375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 296.91284375
transcript.pyannote[61].end 299.56221875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 299.88284375
transcript.pyannote[62].end 301.45221875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 302.00909375
transcript.pyannote[63].end 314.34471875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 314.73284375
transcript.pyannote[64].end 324.13221875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 324.31784375
transcript.pyannote[65].end 325.76909375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 325.87034375
transcript.pyannote[66].end 336.92346875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 337.15971875
transcript.pyannote[67].end 338.89784375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 339.89346875
transcript.pyannote[68].end 352.54971875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 352.24596875
transcript.pyannote[69].end 354.86159375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 355.46909375
transcript.pyannote[70].end 356.80221875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 357.34221875
transcript.pyannote[71].end 359.24909375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 360.04221875
transcript.pyannote[72].end 361.30784375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 361.83096875
transcript.pyannote[73].end 363.26534375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 363.88971875
transcript.pyannote[74].end 365.08784375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 365.34096875
transcript.pyannote[75].end 367.46721875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 367.90596875
transcript.pyannote[76].end 371.90534375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 372.78284375
transcript.pyannote[77].end 373.67721875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 374.25096875
transcript.pyannote[78].end 376.66409375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 376.93409375
transcript.pyannote[79].end 379.00971875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 379.17846875
transcript.pyannote[80].end 380.17409375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 380.68034375
transcript.pyannote[81].end 381.42284375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 382.55346875
transcript.pyannote[82].end 385.52346875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 386.65409375
transcript.pyannote[83].end 388.29096875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 389.80971875
transcript.pyannote[84].end 397.85909375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 397.97721875
transcript.pyannote[85].end 407.44409375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 406.61721875
transcript.pyannote[86].end 407.62971875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 408.15284375
transcript.pyannote[87].end 425.16284375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 423.62721875
transcript.pyannote[88].end 424.15034375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 424.62284375
transcript.pyannote[89].end 426.78284375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 427.20471875
transcript.pyannote[90].end 431.91284375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 432.90846875
transcript.pyannote[91].end 433.61721875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 433.92096875
transcript.pyannote[92].end 434.89971875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 435.52409375
transcript.pyannote[93].end 436.95846875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 436.95846875
transcript.pyannote[94].end 437.68409375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 438.19034375
transcript.pyannote[95].end 440.09721875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 439.21971875
transcript.pyannote[96].end 439.96221875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 440.09721875
transcript.pyannote[97].end 440.14784375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 440.14784375
transcript.pyannote[98].end 440.24909375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 440.24909375
transcript.pyannote[99].end 440.35034375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 440.35034375
transcript.pyannote[100].end 440.40096875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 440.40096875
transcript.pyannote[101].end 440.43471875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 440.43471875
transcript.pyannote[102].end 440.70471875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 440.70471875
transcript.pyannote[103].end 440.73846875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 441.54846875
transcript.pyannote[104].end 442.89846875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 442.91534375
transcript.pyannote[105].end 449.19284375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 449.81721875
transcript.pyannote[106].end 450.18846875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 450.54284375
transcript.pyannote[107].end 462.30471875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 459.65534375
transcript.pyannote[108].end 460.68471875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 460.71846875
transcript.pyannote[109].end 462.22034375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 462.30471875
transcript.pyannote[110].end 462.32159375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 462.77721875
transcript.pyannote[111].end 463.89096875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 462.87846875
transcript.pyannote[112].end 463.80659375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 463.89096875
transcript.pyannote[113].end 466.45596875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 467.13096875
transcript.pyannote[114].end 471.16409375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 472.48034375
transcript.pyannote[115].end 488.02221875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 487.16159375
transcript.pyannote[116].end 489.11909375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 489.76034375
transcript.pyannote[117].end 493.20284375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 493.65846875
transcript.pyannote[118].end 499.49721875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 499.96971875
transcript.pyannote[119].end 503.96909375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 504.47534375
transcript.pyannote[120].end 510.12846875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 509.33534375
transcript.pyannote[121].end 509.60534375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 510.70221875
transcript.pyannote[122].end 512.98034375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 513.53721875
transcript.pyannote[123].end 518.19471875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 519.13971875
transcript.pyannote[124].end 519.57846875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 519.89909375
transcript.pyannote[125].end 521.01284375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 520.03409375
transcript.pyannote[126].end 522.17721875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 522.68346875
transcript.pyannote[127].end 523.39221875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 524.37096875
transcript.pyannote[128].end 527.30721875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 527.88096875
transcript.pyannote[129].end 534.00659375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 534.14159375
transcript.pyannote[130].end 540.36846875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 542.14034375
transcript.pyannote[131].end 543.74346875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 543.20346875
transcript.pyannote[132].end 545.12721875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 545.31284375
transcript.pyannote[133].end 546.00471875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 546.62909375
transcript.pyannote[134].end 548.09721875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 548.73846875
transcript.pyannote[135].end 550.22346875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 550.94909375
transcript.pyannote[136].end 553.02471875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 553.32846875
transcript.pyannote[137].end 554.57721875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 555.11721875
transcript.pyannote[138].end 556.26471875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 556.99034375
transcript.pyannote[139].end 558.42471875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 559.65659375
transcript.pyannote[140].end 564.22971875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 564.41534375
transcript.pyannote[141].end 570.67596875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 571.35096875
transcript.pyannote[142].end 576.63284375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 576.66659375
transcript.pyannote[143].end 576.70034375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 576.75096875
transcript.pyannote[144].end 579.46784375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 579.46784375
transcript.pyannote[145].end 579.50159375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 579.51846875
transcript.pyannote[146].end 580.02471875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 580.17659375
transcript.pyannote[147].end 582.52221875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 584.85096875
transcript.pyannote[148].end 593.67659375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 589.03596875
transcript.pyannote[149].end 591.48284375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 592.74846875
transcript.pyannote[150].end 595.02659375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 595.46534375
transcript.pyannote[151].end 597.79409375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 597.62534375
transcript.pyannote[152].end 600.69659375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 601.45596875
transcript.pyannote[153].end 605.86034375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 605.06721875
transcript.pyannote[154].end 606.56909375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 607.02471875
transcript.pyannote[155].end 608.13846875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 608.67846875
transcript.pyannote[156].end 612.28971875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 612.55971875
transcript.pyannote[157].end 622.02659375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 622.02659375
transcript.pyannote[158].end 622.44846875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 622.44846875
transcript.pyannote[159].end 622.48221875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 622.81971875
transcript.pyannote[160].end 627.17346875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 626.09346875
transcript.pyannote[161].end 627.46034375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 627.74721875
transcript.pyannote[162].end 629.78909375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 628.81034375
transcript.pyannote[163].end 629.67096875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 630.10971875
transcript.pyannote[164].end 631.81409375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 632.13471875
transcript.pyannote[165].end 634.75034375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 634.14284375
transcript.pyannote[166].end 634.15971875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 634.75034375
transcript.pyannote[167].end 634.83471875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 634.83471875
transcript.pyannote[168].end 635.03721875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 635.03721875
transcript.pyannote[169].end 638.10846875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 638.39534375
transcript.pyannote[170].end 642.14159375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 640.60596875
transcript.pyannote[171].end 642.12471875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 642.14159375
transcript.pyannote[172].end 643.27221875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 642.46221875
transcript.pyannote[173].end 643.08659375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 643.60971875
transcript.pyannote[174].end 647.45721875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 645.71909375
transcript.pyannote[175].end 652.41846875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 647.99721875
transcript.pyannote[176].end 649.56659375
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 652.70534375
transcript.pyannote[177].end 655.47284375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 653.88659375
transcript.pyannote[178].end 655.99596875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 656.02971875
transcript.pyannote[179].end 656.04659375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 656.04659375
transcript.pyannote[180].end 658.37534375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 656.72159375
transcript.pyannote[181].end 656.75534375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 658.66221875
transcript.pyannote[182].end 659.30346875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 660.07971875
transcript.pyannote[183].end 660.83909375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 661.48034375
transcript.pyannote[184].end 662.35784375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 663.43784375
transcript.pyannote[185].end 665.81721875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 666.40784375
transcript.pyannote[186].end 667.75784375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 668.95596875
transcript.pyannote[187].end 672.38159375
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 672.82034375
transcript.pyannote[188].end 673.20846875
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 673.29284375
transcript.pyannote[189].end 675.14909375
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 676.24596875
transcript.pyannote[190].end 676.93784375
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 676.63409375
transcript.pyannote[191].end 677.54534375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 676.95471875
transcript.pyannote[192].end 676.97159375
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 678.05159375
transcript.pyannote[193].end 680.07659375
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 680.88659375
transcript.pyannote[194].end 684.02534375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 684.56534375
transcript.pyannote[195].end 688.27784375
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 688.73346875
transcript.pyannote[196].end 689.72909375
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 690.35346875
transcript.pyannote[197].end 691.31534375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 691.60221875
transcript.pyannote[198].end 692.17596875
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 693.25596875
transcript.pyannote[199].end 695.04471875
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 695.50034375
transcript.pyannote[200].end 697.28909375
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 697.91346875
transcript.pyannote[201].end 701.08596875
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 701.62596875
transcript.pyannote[202].end 703.58346875
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 703.85346875
transcript.pyannote[203].end 707.16096875
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 708.12284375
transcript.pyannote[204].end 713.53971875
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 714.87284375
transcript.pyannote[205].end 717.28596875
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 718.01159375
transcript.pyannote[206].end 719.15909375
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 719.68221875
transcript.pyannote[207].end 720.66096875
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 721.18409375
transcript.pyannote[208].end 722.66909375
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 723.05721875
transcript.pyannote[209].end 726.01034375
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 726.71909375
transcript.pyannote[210].end 727.57971875
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 728.92971875
transcript.pyannote[211].end 729.41909375
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 729.82409375
transcript.pyannote[212].end 748.97721875
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 733.80659375
transcript.pyannote[213].end 735.10596875
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 739.93221875
transcript.pyannote[214].end 741.61971875
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 744.11721875
transcript.pyannote[215].end 748.62284375
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 749.46659375
transcript.pyannote[216].end 750.14159375
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 749.51721875
transcript.pyannote[217].end 750.17534375
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 750.68159375
transcript.pyannote[218].end 751.23846875
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 751.50846875
transcript.pyannote[219].end 754.64721875
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 754.74846875
transcript.pyannote[220].end 755.81159375
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 756.33471875
transcript.pyannote[221].end 770.91471875
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 770.99909375
transcript.pyannote[222].end 771.03284375
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 771.04971875
transcript.pyannote[223].end 778.08659375
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 778.44096875
transcript.pyannote[224].end 780.92159375
transcript.pyannote[225].speaker SPEAKER_01
transcript.pyannote[225].start 780.97221875
transcript.pyannote[225].end 780.98909375
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 781.14096875
transcript.pyannote[226].end 785.64659375
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 785.74784375
transcript.pyannote[227].end 788.21159375
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 788.71784375
transcript.pyannote[228].end 791.08034375
transcript.pyannote[229].speaker SPEAKER_00
transcript.pyannote[229].start 792.83534375
transcript.pyannote[229].end 795.94034375
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 795.34971875
transcript.pyannote[230].end 797.57721875
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 797.91471875
transcript.pyannote[231].end 800.39534375
transcript.pyannote[232].speaker SPEAKER_00
transcript.pyannote[232].start 799.68659375
transcript.pyannote[232].end 800.19284375
transcript.pyannote[233].speaker SPEAKER_00
transcript.pyannote[233].start 800.42909375
transcript.pyannote[233].end 800.44596875
transcript.pyannote[234].speaker SPEAKER_00
transcript.pyannote[234].start 800.51346875
transcript.pyannote[234].end 803.23034375
transcript.pyannote[235].speaker SPEAKER_01
transcript.pyannote[235].start 801.89721875
transcript.pyannote[235].end 802.38659375
transcript.pyannote[236].speaker SPEAKER_01
transcript.pyannote[236].start 802.84221875
transcript.pyannote[236].end 804.00659375
transcript.pyannote[237].speaker SPEAKER_01
transcript.pyannote[237].start 804.90096875
transcript.pyannote[237].end 805.76159375
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 806.77409375
transcript.pyannote[238].end 807.65159375
transcript.pyannote[239].speaker SPEAKER_01
transcript.pyannote[239].start 808.30971875
transcript.pyannote[239].end 809.84534375
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 810.58784375
transcript.pyannote[240].end 812.39346875
transcript.pyannote[241].speaker SPEAKER_01
transcript.pyannote[241].start 813.55784375
transcript.pyannote[241].end 814.50284375
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 815.11034375
transcript.pyannote[242].end 817.57409375
transcript.pyannote[243].speaker SPEAKER_01
transcript.pyannote[243].start 818.46846875
transcript.pyannote[243].end 820.79721875
transcript.pyannote[244].speaker SPEAKER_01
transcript.pyannote[244].start 821.50596875
transcript.pyannote[244].end 822.65346875
transcript.pyannote[245].speaker SPEAKER_01
transcript.pyannote[245].start 822.92346875
transcript.pyannote[245].end 825.20159375
transcript.pyannote[246].speaker SPEAKER_01
transcript.pyannote[246].start 825.89346875
transcript.pyannote[246].end 831.37784375
transcript.pyannote[247].speaker SPEAKER_01
transcript.pyannote[247].start 831.64784375
transcript.pyannote[247].end 834.02721875
transcript.pyannote[248].speaker SPEAKER_01
transcript.pyannote[248].start 835.15784375
transcript.pyannote[248].end 836.96346875
transcript.pyannote[249].speaker SPEAKER_01
transcript.pyannote[249].start 837.55409375
transcript.pyannote[249].end 838.98846875
transcript.pyannote[250].speaker SPEAKER_01
transcript.pyannote[250].start 839.61284375
transcript.pyannote[250].end 841.82346875
transcript.pyannote[251].speaker SPEAKER_01
transcript.pyannote[251].start 842.39721875
transcript.pyannote[251].end 844.00034375
transcript.pyannote[252].speaker SPEAKER_01
transcript.pyannote[252].start 844.40534375
transcript.pyannote[252].end 846.43034375
transcript.pyannote[253].speaker SPEAKER_01
transcript.pyannote[253].start 846.86909375
transcript.pyannote[253].end 849.24846875
transcript.pyannote[254].speaker SPEAKER_01
transcript.pyannote[254].start 849.75471875
transcript.pyannote[254].end 851.86409375
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 852.40409375
transcript.pyannote[255].end 853.55159375
transcript.pyannote[256].speaker SPEAKER_01
transcript.pyannote[256].start 853.92284375
transcript.pyannote[256].end 854.91846875
transcript.pyannote[257].speaker SPEAKER_01
transcript.pyannote[257].start 855.55971875
transcript.pyannote[257].end 857.24721875
transcript.pyannote[258].speaker SPEAKER_01
transcript.pyannote[258].start 857.95596875
transcript.pyannote[258].end 858.93471875
transcript.pyannote[259].speaker SPEAKER_01
transcript.pyannote[259].start 859.62659375
transcript.pyannote[259].end 860.35221875
transcript.pyannote[260].speaker SPEAKER_01
transcript.pyannote[260].start 860.94284375
transcript.pyannote[260].end 861.55034375
transcript.pyannote[261].speaker SPEAKER_01
transcript.pyannote[261].start 862.68096875
transcript.pyannote[261].end 865.53284375
transcript.pyannote[262].speaker SPEAKER_01
transcript.pyannote[262].start 866.14034375
transcript.pyannote[262].end 868.84034375
transcript.pyannote[263].speaker SPEAKER_01
transcript.pyannote[263].start 869.36346875
transcript.pyannote[263].end 871.08471875
transcript.pyannote[264].speaker SPEAKER_01
transcript.pyannote[264].start 871.57409375
transcript.pyannote[264].end 872.97471875
transcript.pyannote[265].speaker SPEAKER_01
transcript.pyannote[265].start 873.59909375
transcript.pyannote[265].end 875.60721875
transcript.pyannote[266].speaker SPEAKER_01
transcript.pyannote[266].start 876.14721875
transcript.pyannote[266].end 879.03284375
transcript.pyannote[267].speaker SPEAKER_01
transcript.pyannote[267].start 879.38721875
transcript.pyannote[267].end 880.28159375
transcript.pyannote[268].speaker SPEAKER_01
transcript.pyannote[268].start 881.02409375
transcript.pyannote[268].end 882.40784375
transcript.pyannote[269].speaker SPEAKER_01
transcript.pyannote[269].start 882.93096875
transcript.pyannote[269].end 885.46221875
transcript.pyannote[270].speaker SPEAKER_01
transcript.pyannote[270].start 885.78284375
transcript.pyannote[270].end 887.79096875
transcript.pyannote[271].speaker SPEAKER_01
transcript.pyannote[271].start 888.26346875
transcript.pyannote[271].end 890.10284375
transcript.pyannote[272].speaker SPEAKER_01
transcript.pyannote[272].start 890.92971875
transcript.pyannote[272].end 891.92534375
transcript.pyannote[273].speaker SPEAKER_01
transcript.pyannote[273].start 892.68471875
transcript.pyannote[273].end 894.50721875
transcript.pyannote[274].speaker SPEAKER_01
transcript.pyannote[274].start 895.01346875
transcript.pyannote[274].end 897.49409375
transcript.pyannote[275].speaker SPEAKER_01
transcript.pyannote[275].start 899.04659375
transcript.pyannote[275].end 899.83971875
transcript.pyannote[276].speaker SPEAKER_01
transcript.pyannote[276].start 900.56534375
transcript.pyannote[276].end 902.23596875
transcript.pyannote[277].speaker SPEAKER_01
transcript.pyannote[277].start 902.67471875
transcript.pyannote[277].end 911.83784375
transcript.pyannote[278].speaker SPEAKER_01
transcript.pyannote[278].start 912.42846875
transcript.pyannote[278].end 913.35659375
transcript.pyannote[279].speaker SPEAKER_01
transcript.pyannote[279].start 914.04846875
transcript.pyannote[279].end 918.50346875
transcript.pyannote[280].speaker SPEAKER_01
transcript.pyannote[280].start 919.09409375
transcript.pyannote[280].end 921.13596875
transcript.pyannote[281].speaker SPEAKER_01
transcript.pyannote[281].start 921.76034375
transcript.pyannote[281].end 929.06721875
transcript.pyannote[282].speaker SPEAKER_01
transcript.pyannote[282].start 929.18534375
transcript.pyannote[282].end 932.89784375
transcript.pyannote[283].speaker SPEAKER_01
transcript.pyannote[283].start 933.28596875
transcript.pyannote[283].end 935.10846875
transcript.pyannote[284].speaker SPEAKER_01
transcript.pyannote[284].start 936.05346875
transcript.pyannote[284].end 938.02784375
transcript.pyannote[285].speaker SPEAKER_01
transcript.pyannote[285].start 938.90534375
transcript.pyannote[285].end 943.71471875
transcript.pyannote[286].speaker SPEAKER_01
transcript.pyannote[286].start 944.42346875
transcript.pyannote[286].end 950.92034375
transcript.pyannote[287].speaker SPEAKER_01
transcript.pyannote[287].start 951.37596875
transcript.pyannote[287].end 954.91971875
transcript.pyannote[288].speaker SPEAKER_01
transcript.pyannote[288].start 954.97034375
transcript.pyannote[288].end 956.33721875
transcript.pyannote[289].speaker SPEAKER_01
transcript.pyannote[289].start 956.57346875
transcript.pyannote[289].end 957.48471875
transcript.pyannote[290].speaker SPEAKER_01
transcript.pyannote[290].start 957.97409375
transcript.pyannote[290].end 959.88096875
transcript.pyannote[291].speaker SPEAKER_01
transcript.pyannote[291].start 960.52221875
transcript.pyannote[291].end 961.80471875
transcript.pyannote[292].speaker SPEAKER_01
transcript.pyannote[292].start 962.39534375
transcript.pyannote[292].end 963.50909375
transcript.pyannote[293].speaker SPEAKER_01
transcript.pyannote[293].start 964.03221875
transcript.pyannote[293].end 967.79534375
transcript.pyannote[294].speaker SPEAKER_01
transcript.pyannote[294].start 967.96409375
transcript.pyannote[294].end 971.11971875
transcript.pyannote[295].speaker SPEAKER_01
transcript.pyannote[295].start 971.55846875
transcript.pyannote[295].end 973.06034375
transcript.pyannote[296].speaker SPEAKER_01
transcript.pyannote[296].start 973.38096875
transcript.pyannote[296].end 974.61284375
transcript.pyannote[297].speaker SPEAKER_01
transcript.pyannote[297].start 974.95034375
transcript.pyannote[297].end 977.80221875
transcript.pyannote[298].speaker SPEAKER_00
transcript.pyannote[298].start 979.72596875
transcript.pyannote[298].end 981.75096875
transcript.pyannote[299].speaker SPEAKER_00
transcript.pyannote[299].start 981.88596875
transcript.pyannote[299].end 984.21471875
transcript.pyannote[300].speaker SPEAKER_01
transcript.pyannote[300].start 983.28659375
transcript.pyannote[300].end 985.64909375
transcript.pyannote[301].speaker SPEAKER_00
transcript.pyannote[301].start 986.22284375
transcript.pyannote[301].end 993.10784375
transcript.pyannote[302].speaker SPEAKER_01
transcript.pyannote[302].start 989.81721875
transcript.pyannote[302].end 1005.00471875
transcript.pyannote[303].speaker SPEAKER_00
transcript.pyannote[303].start 1005.17346875
transcript.pyannote[303].end 1006.84409375
transcript.pyannote[304].speaker SPEAKER_01
transcript.pyannote[304].start 1006.84409375
transcript.pyannote[304].end 1010.21909375
transcript.pyannote[305].speaker SPEAKER_01
transcript.pyannote[305].start 1010.72534375
transcript.pyannote[305].end 1013.18909375
transcript.pyannote[306].speaker SPEAKER_01
transcript.pyannote[306].start 1013.27346875
transcript.pyannote[306].end 1016.17596875
transcript.pyannote[307].speaker SPEAKER_01
transcript.pyannote[307].start 1016.69909375
transcript.pyannote[307].end 1025.00159375
transcript.pyannote[308].speaker SPEAKER_01
transcript.pyannote[308].start 1025.25471875
transcript.pyannote[308].end 1027.26284375
transcript.pyannote[309].speaker SPEAKER_01
transcript.pyannote[309].start 1028.42721875
transcript.pyannote[309].end 1030.72221875
transcript.pyannote[310].speaker SPEAKER_01
transcript.pyannote[310].start 1030.94159375
transcript.pyannote[310].end 1035.66659375
transcript.pyannote[311].speaker SPEAKER_01
transcript.pyannote[311].start 1036.59471875
transcript.pyannote[311].end 1039.15971875
transcript.pyannote[312].speaker SPEAKER_01
transcript.pyannote[312].start 1039.41284375
transcript.pyannote[312].end 1041.31971875
transcript.pyannote[313].speaker SPEAKER_00
transcript.pyannote[313].start 1042.16346875
transcript.pyannote[313].end 1059.49409375
transcript.pyannote[314].speaker SPEAKER_01
transcript.pyannote[314].start 1052.42346875
transcript.pyannote[314].end 1053.89159375
transcript.pyannote[315].speaker SPEAKER_01
transcript.pyannote[315].start 1055.47784375
transcript.pyannote[315].end 1056.86159375
transcript.pyannote[316].speaker SPEAKER_01
transcript.pyannote[316].start 1057.87409375
transcript.pyannote[316].end 1061.41784375
transcript.pyannote[317].speaker SPEAKER_01
transcript.pyannote[317].start 1062.32909375
transcript.pyannote[317].end 1063.40909375
transcript.pyannote[318].speaker SPEAKER_01
transcript.pyannote[318].start 1064.15159375
transcript.pyannote[318].end 1065.94034375
transcript.pyannote[319].speaker SPEAKER_01
transcript.pyannote[319].start 1066.54784375
transcript.pyannote[319].end 1068.30284375
transcript.pyannote[320].speaker SPEAKER_01
transcript.pyannote[320].start 1068.85971875
transcript.pyannote[320].end 1070.88471875
transcript.pyannote[321].speaker SPEAKER_01
transcript.pyannote[321].start 1071.52596875
transcript.pyannote[321].end 1074.36096875
transcript.pyannote[322].speaker SPEAKER_01
transcript.pyannote[322].start 1074.63096875
transcript.pyannote[322].end 1079.25471875
transcript.pyannote[323].speaker SPEAKER_01
transcript.pyannote[323].start 1079.40659375
transcript.pyannote[323].end 1081.12784375
transcript.pyannote[324].speaker SPEAKER_01
transcript.pyannote[324].start 1081.56659375
transcript.pyannote[324].end 1083.20346875
transcript.pyannote[325].speaker SPEAKER_01
transcript.pyannote[325].start 1083.38909375
transcript.pyannote[325].end 1088.68784375
transcript.pyannote[326].speaker SPEAKER_01
transcript.pyannote[326].start 1089.05909375
transcript.pyannote[326].end 1092.87284375
transcript.pyannote[327].speaker SPEAKER_01
transcript.pyannote[327].start 1093.54784375
transcript.pyannote[327].end 1094.54346875
transcript.pyannote[328].speaker SPEAKER_01
transcript.pyannote[328].start 1094.94846875
transcript.pyannote[328].end 1095.91034375
transcript.pyannote[329].speaker SPEAKER_01
transcript.pyannote[329].start 1096.29846875
transcript.pyannote[329].end 1097.04096875
transcript.pyannote[330].speaker SPEAKER_01
transcript.pyannote[330].start 1097.71596875
transcript.pyannote[330].end 1099.21784375
transcript.pyannote[331].speaker SPEAKER_01
transcript.pyannote[331].start 1099.38659375
transcript.pyannote[331].end 1100.19659375
transcript.pyannote[332].speaker SPEAKER_01
transcript.pyannote[332].start 1100.53409375
transcript.pyannote[332].end 1107.95909375
transcript.pyannote[333].speaker SPEAKER_01
transcript.pyannote[333].start 1108.65096875
transcript.pyannote[333].end 1110.62534375
transcript.pyannote[334].speaker SPEAKER_01
transcript.pyannote[334].start 1110.92909375
transcript.pyannote[334].end 1116.91971875
transcript.pyannote[335].speaker SPEAKER_01
transcript.pyannote[335].start 1117.17284375
transcript.pyannote[335].end 1118.30346875
transcript.pyannote[336].speaker SPEAKER_01
transcript.pyannote[336].start 1118.72534375
transcript.pyannote[336].end 1122.45471875
transcript.pyannote[337].speaker SPEAKER_01
transcript.pyannote[337].start 1122.80909375
transcript.pyannote[337].end 1125.44159375
transcript.pyannote[338].speaker SPEAKER_01
transcript.pyannote[338].start 1126.40346875
transcript.pyannote[338].end 1127.87159375
transcript.pyannote[339].speaker SPEAKER_01
transcript.pyannote[339].start 1129.23846875
transcript.pyannote[339].end 1131.14534375
transcript.pyannote[340].speaker SPEAKER_01
transcript.pyannote[340].start 1131.97221875
transcript.pyannote[340].end 1135.54971875
transcript.pyannote[341].speaker SPEAKER_00
transcript.pyannote[341].start 1136.30909375
transcript.pyannote[341].end 1163.96721875
transcript.pyannote[342].speaker SPEAKER_01
transcript.pyannote[342].start 1161.90846875
transcript.pyannote[342].end 1164.18659375
transcript.pyannote[343].speaker SPEAKER_01
transcript.pyannote[343].start 1164.69284375
transcript.pyannote[343].end 1172.64096875
transcript.pyannote[344].speaker SPEAKER_01
transcript.pyannote[344].start 1173.36659375
transcript.pyannote[344].end 1176.48846875
transcript.pyannote[345].speaker SPEAKER_01
transcript.pyannote[345].start 1176.96096875
transcript.pyannote[345].end 1179.74534375
transcript.pyannote[346].speaker SPEAKER_01
transcript.pyannote[346].start 1180.25159375
transcript.pyannote[346].end 1181.87159375
transcript.pyannote[347].speaker SPEAKER_01
transcript.pyannote[347].start 1182.12471875
transcript.pyannote[347].end 1184.03159375
transcript.pyannote[348].speaker SPEAKER_01
transcript.pyannote[348].start 1184.08221875
transcript.pyannote[348].end 1190.20784375
transcript.pyannote[349].speaker SPEAKER_01
transcript.pyannote[349].start 1190.79846875
transcript.pyannote[349].end 1193.70096875
transcript.pyannote[350].speaker SPEAKER_01
transcript.pyannote[350].start 1194.39284375
transcript.pyannote[350].end 1196.18159375
transcript.pyannote[351].speaker SPEAKER_01
transcript.pyannote[351].start 1196.70471875
transcript.pyannote[351].end 1197.66659375
transcript.pyannote[352].speaker SPEAKER_01
transcript.pyannote[352].start 1198.15596875
transcript.pyannote[352].end 1199.69159375
transcript.pyannote[353].speaker SPEAKER_01
transcript.pyannote[353].start 1199.96159375
transcript.pyannote[353].end 1201.41284375
transcript.pyannote[354].speaker SPEAKER_01
transcript.pyannote[354].start 1201.59846875
transcript.pyannote[354].end 1202.57721875
transcript.pyannote[355].speaker SPEAKER_01
transcript.pyannote[355].start 1202.86409375
transcript.pyannote[355].end 1204.46721875
transcript.pyannote[356].speaker SPEAKER_01
transcript.pyannote[356].start 1205.31096875
transcript.pyannote[356].end 1206.25596875
transcript.pyannote[357].speaker SPEAKER_01
transcript.pyannote[357].start 1207.25159375
transcript.pyannote[357].end 1210.13721875
transcript.pyannote[358].speaker SPEAKER_01
transcript.pyannote[358].start 1210.67721875
transcript.pyannote[358].end 1213.59659375
transcript.pyannote[359].speaker SPEAKER_00
transcript.pyannote[359].start 1214.45721875
transcript.pyannote[359].end 1227.26534375
transcript.pyannote[360].speaker SPEAKER_01
transcript.pyannote[360].start 1222.37159375
transcript.pyannote[360].end 1225.40909375
transcript.pyannote[361].speaker SPEAKER_01
transcript.pyannote[361].start 1226.40471875
transcript.pyannote[361].end 1234.79159375
transcript.pyannote[362].speaker SPEAKER_01
transcript.pyannote[362].start 1235.19659375
transcript.pyannote[362].end 1237.25534375
transcript.pyannote[363].speaker SPEAKER_01
transcript.pyannote[363].start 1237.66034375
transcript.pyannote[363].end 1239.93846875
transcript.pyannote[364].speaker SPEAKER_01
transcript.pyannote[364].start 1240.86659375
transcript.pyannote[364].end 1241.98034375
transcript.pyannote[365].speaker SPEAKER_01
transcript.pyannote[365].start 1242.41909375
transcript.pyannote[365].end 1242.95909375
transcript.pyannote[366].speaker SPEAKER_01
transcript.pyannote[366].start 1261.99409375
transcript.pyannote[366].end 1263.96846875
transcript.whisperx[0].start 25.101
transcript.whisperx[0].end 50.657
transcript.whisperx[0].text 謝謝主席,馬上有請被提名人我們請被提名人張女士搭訓被提名人早12月10號今天是國際人權日我們的憲法法庭、我們的司法院、我們的大法官
transcript.whisperx[1].start 51.772
transcript.whisperx[1].end 79.469
transcript.whisperx[1].text 在整個憲法解釋的工作當中最重要的不外乎兩個部分一個是權力分立的原則一個是基本人權的保障我相信貝迪敏作為憲法的學者應該會有非常深的認識跟體認在世界人權日的今天我想要請教的第一個問題您認為現行的集會遊行法有沒有侵害基本人權有沒有違憲
transcript.whisperx[2].start 82.334
transcript.whisperx[2].end 109.646
transcript.whisperx[2].text 謝謝委員的提問那那個因為我是司法職位的提名所以基於憲法、憲法解釋那只要是憲法解釋及憲法裁判那都有拘束全國各機關及人民的效力我將在這個基礎上回答委員的問題至於其他立法政策的問題我想那個就會是由立法院來做進一步的考量我現在在處理的並不是立法政策的問題
transcript.whisperx[3].start 110.694
transcript.whisperx[3].end 122.357
transcript.whisperx[3].text 我現在在請教的是有關於基本人權保障的問題所以我具體的請教您啊您認為現行的集會遊行法有沒有侵害人民的基本權利有沒有違憲
transcript.whisperx[4].start 124.653
transcript.whisperx[4].end 125.073
transcript.whisperx[4].text 除了這個部分以外呢?
transcript.whisperx[5].start 147.338
transcript.whisperx[5].end 170.609
transcript.whisperx[5].text 除了這個部分以外呢?除了這個部分以外,事實上大法官在兩個這個集會遊行相關的解釋當中其實都具體的對這個集會遊行法的各項要件是不是能夠更加以明確化那做了憲法上的要求所以按照目前的集會遊行法你認為有沒有侵害基本人權?
transcript.whisperx[6].start 172.507
transcript.whisperx[6].end 193.448
transcript.whisperx[6].text 報告委員還有一個也是這個除了剛剛兩位兩個大法官解釋之外那立法院在98年已經國內法化公民與政治權利國際公約那這個公約在多次的憲法解釋被大法官所引用那在這個公約裡頭提到和平集會的權利必須要加以確保
transcript.whisperx[7].start 193.848
transcript.whisperx[7].end 195.589
transcript.whisperx[7].text 請委員容許我就回答到這個部分謝謝
transcript.whisperx[8].start 217.021
transcript.whisperx[8].end 239.308
transcript.whisperx[8].text 其實被提名的人我剛剛給你充分的時間希望你表達你在各項法律上面做的人權作為權力分立的選擇所以你也可以看得到對您相當的尊重我給你很長的時間回答一個非常簡單的問題感謝委員你記不記得你曾經主張過集會遊行法違憲
transcript.whisperx[9].start 243.14
transcript.whisperx[9].end 252.783
transcript.whisperx[9].text 委員我在有一篇文章當中非常清楚的提到不是一篇文章你還記不記得你曾主張集會有刑法違憲必須要修改請委員提醒不過我剛剛已經講過好幾個憲法解釋第一個2008年的時候你曾經參與連署這個是在你剛剛所講的2009年ICCPR之前的事情
transcript.whisperx[10].start 270.242
transcript.whisperx[10].end 296.059
transcript.whisperx[10].text 在這個之前你已經主張過現行的極有法是違憲的有侵害基本人權必須要加以修改我希望我希望這樣的憲法價值你能夠放在心裡面但令人遺憾的事情是什麼令人遺憾的事情是過去主張極有法違憲我們目前的民進黨政府
transcript.whisperx[11].start 298.454
transcript.whisperx[11].end 324.999
transcript.whisperx[11].text 從2016年到現在整整8年的時間儘管在野黨提出了集會遊行法必須要修正的法案但是在立法院裡面不斷的受到了阻礙受到了杯葛導致這一個有違憲之餘的集會遊行法當初2008年這麼多的學者站出來連署站出來呼籲包括您在內
transcript.whisperx[12].start 326.82
transcript.whisperx[12].end 354.497
transcript.whisperx[12].text 2008年到現在已經2024年了我們違憲的行為遊行法在立法院裡面竟然還沒有辦法得到進一步的修正被提名的人會不會覺得遺憾謝謝委員的提醒這確實是我所參與的連署我也相當記得當時在廣場靜坐的臺大學生甚至還有日本的學者跟著我一起到現場去探望我們的學生你還記得非常的好但我覺得
transcript.whisperx[13].start 355.526
transcript.whisperx[13].end 380.833
transcript.whisperx[13].text 有很多人都已經忘了為什麼我說很多人都已經忘了當初參與這一場集會遊行非常多的人現在已經成為政治工作者甚至有當選總統的有當選立法委員即便如此到了2024年的今天我們還是在用統一部違憲的集會遊行法第二個問題
transcript.whisperx[14].start 382.711
transcript.whisperx[14].end 383.392
transcript.whisperx[14].text 為什麼沒有回覆?
transcript.whisperx[15].start 408.212
transcript.whisperx[15].end 412.016
transcript.whisperx[15].text 沒有錯啊我們先建立一個基本原則啊法律在被憲法法庭宣告違憲以前是不是一個有效的法律
transcript.whisperx[16].start 432.93
transcript.whisperx[16].end 433.39
transcript.whisperx[16].text 是嗎?
transcript.whisperx[17].start 433.39
transcript.whisperx[17].end 435.591
transcript.whisperx[17].text 是。 是不是需要遵守?
transcript.whisperx[18].start 435.591
transcript.whisperx[18].end 439.272
transcript.whisperx[18].text 是應該要遵守。你為什麼沒有遵守?
transcript.whisperx[19].start 439.272
transcript.whisperx[19].end 441.733
transcript.whisperx[19].text 是因為你們有特權嗎?
transcript.whisperx[20].start 441.733
transcript.whisperx[20].end 448.916
transcript.whisperx[20].text 並沒有,我們不應該。如果你們沒有特權,法律沒有被宣告違憲以前應該遵守,請問你們為什麼不回覆?
transcript.whisperx[21].start 450.622
transcript.whisperx[21].end 470.784
transcript.whisperx[21].text 再次跟委員說明因為當時憲法法庭這個暫時停止適用的是裁定憲法法庭的實體的裁判還沒有做成而你也知道任何的人民向憲法法庭申請釋憲在憲法法庭的裁判沒有做出來以前可以不遵守嗎?
transcript.whisperx[22].start 472.523
transcript.whisperx[22].end 499.044
transcript.whisperx[22].text 委員也跟您報告所以我們當時在回覆這個大院的這個新聞稿當中有特別提到幾個關節點那一個除了是程序的條文之外還有就是立法院的這個議程那所以我們我們先停一下來看一下我們請你們回覆問卷立法院職權刑事法依照的159條之一嘛第二項我們一樣一樣把事情理清楚第一個
transcript.whisperx[23].start 500.031
transcript.whisperx[23].end 523.07
transcript.whisperx[23].text 法律在沒有被宣告違憲以前是合法有效的法律任何的公民都有遵守的義務這個是我們剛剛已經建立的前提了嘛但是在這個條文裡面有規範說要等到立法院確定了審查日程以後你們才有回覆的義務嗎沒有如果沒有的話你們為什麼竟然
transcript.whisperx[24].start 524.417
transcript.whisperx[24].end 549.948
transcript.whisperx[24].text 我們請你們依法回覆的問卷.可以不交.說要等到確定議程了以後.你們才願意回覆.增加法律所沒有的要件.是只有所有的大法官被提名人.有這樣超越法律的權利.還是一般的人民也有當然沒有這是一個基本態度的問題啦今天.如果當一群法律人.被提名為大法官.
transcript.whisperx[25].start 550.987
transcript.whisperx[25].end 570.309
transcript.whisperx[25].text 在還沒當上大法官之前他們就自認為他們在法律之上沒有人在法律之上他們可以增加法律所沒有的要件自我的選擇他要不要回什麼時候要回這個是一個大法官的被提名人應該有的基本態度嗎
transcript.whisperx[26].start 571.74
transcript.whisperx[26].end 581.204
transcript.whisperx[26].text 委員因為在這個黨團的問卷裡頭有關於拒絕及罰環的問題那拒絕跟罰環確實後來你第一次總共收到幾個問題我們第一次的問卷嗎在這個問卷的後面有提到我們對於拒絕跟罰環的相關的討論我請問你總共收到幾個問題那我們收到12個問題總共收到12個問題嘛請問你回答了幾個問題
transcript.whisperx[27].start 601.496
transcript.whisperx[27].end 625.157
transcript.whisperx[27].text 那因為在那個拒絕跟罰還的那個部分我們必須要尊重那你就留空白嘛前面的問題跟後面你所講的有關係嗎12個問題有一個問題你認為不適合回答那你不適合回答你就留空白嘛因為構成你不用回答前面11個問題的法律事由嗎委員事上有的那因為民眾黨的黨團的問卷你說你有回答問題
transcript.whisperx[28].start 627.999
transcript.whisperx[28].end 633.984
transcript.whisperx[28].text 我剛剛是說有相關的問題第二次發給你們的問卷什麼時候交回來的我們10天內就依法定的期限即時交回來的你們是昨天交回來的嘛直接回答問題面對問題有這麼困難嗎
transcript.whisperx[29].start 652.759
transcript.whisperx[29].end 679.756
transcript.whisperx[29].text 沒有沒有困難昨天10日內的最後期限不好意思喔這樣子的審查程序到要行使同意權的前一天才把問卷交回來你應該對美國憲法跟聯邦最高法院非常熟悉嗎是他們的程序是這樣進行的嗎報告委員你覺得啦在國會審查的前一天
transcript.whisperx[30].start 680.919
transcript.whisperx[30].end 706.838
transcript.whisperx[30].text 我們早就發出去的問卷才寄回來討厭大家的閱讀能力跟閱讀時間沒有關係我全部看完了所以我進一步請教我們請教你針對有關於死刑存廢這是在基本人權的保障上在我國憲法的解釋上引發全國人民高度關注的議題
transcript.whisperx[31].start 708.408
transcript.whisperx[31].end 727.163
transcript.whisperx[31].text 結果您所回來的答案是因為你被提名了所以你不予表示意見這個是你可以不予表示意見的項目嗎?全體的國民沒有權利知道你在這個重大的基本人權保障的議題上面的想法嗎?
transcript.whisperx[32].start 728.939
transcript.whisperx[32].end 755.48
transcript.whisperx[32].text 委員,全體人民跟大院都有權利知道我帶這個議題的想法所以你的想法是什麼?就是我們應該要尊重憲法法庭的裁判沒有錯,除了這個以外呢?除了這個以外我們不能表示任何的意見你不能表示任何意見嗎?所有的被提名人裡面不好意思喔我問,然後我請你回答如果你覺得我的問題不合理那你可以直接講
transcript.whisperx[33].start 756.38
transcript.whisperx[33].end 780.515
transcript.whisperx[33].text 所以我覺得你的提問不合理我拒絕回答這我也尊重你你放心我不會過去用暴力的手段阻礙你回答任何問題請你放心在這裡此時此刻的程序您真的不用擔心會有人用暴力的手段不讓這個會議進行也不會有人用暴力的手段不讓你回答任何問題如果人民有權利知道
transcript.whisperx[34].start 781.235
transcript.whisperx[34].end 805.564
transcript.whisperx[34].text 但是你所交回來的問卷是你不予表示意見我具體的問在所有的被提名人當中您知道有幾個人沒有回答這個問題嗎委員我們每一個人都是獨立行使職員是沒有錯所以我請教你有幾個人沒有回答這個問題你知道嗎我不應該知道這個問題的答案我可以跟你講只有你一個人
transcript.whisperx[35].start 806.806
transcript.whisperx[35].end 833.726
transcript.whisperx[35].text 只有你一個人其他的被提名的人寫多寫少是一回事但最起碼他們展現了什麼他們展現了勇氣他們展現了面對問題的勇氣此行的存廢在台灣的社會有高度的爭議現在的公民社會對於所謂的113年憲判之八號判決有非常強烈的不滿跟批評
transcript.whisperx[36].start 835.222
transcript.whisperx[36].end 861.274
transcript.whisperx[36].text 所有的被提名人都知道但讓我感動的是什麼讓我感動的是有被提名人明明知道這件事情明明知道他所持的見解未必在目前台灣的公民社會是受多數人所支持的見解他還是勇敢的面對了這個問題針對我們的每一個提問具體的回答我未必贊成
transcript.whisperx[37].start 862.725
transcript.whisperx[37].end 891.015
transcript.whisperx[37].text 那些被提名人他們在這些問題上面所抱持的憲法立場跟憲法解釋但是我可以跟您說明的是什麼我佩服人家的勇氣不迴避困難的問題不迴避重要的人權保障的議題也不迴避當人權保障的議題跟社會上面多數主流的民意產生高度衝突的時候有勇氣面對這樣的問題我的問題是什麼
transcript.whisperx[38].start 892.748
transcript.whisperx[38].end 911.447
transcript.whisperx[38].text 我們要選出來的大法官不就是應該要有這樣子的道德勇氣有勇氣面對困難的人權議題有勇氣向社會清楚的表達我心裡面到底是怎麼想的這不是我們在選擇大法官應該有的標準嗎
transcript.whisperx[39].start 912.452
transcript.whisperx[39].end 937.744
transcript.whisperx[39].text 您今天採取這樣子迴避問題的態度我必須要跟被提名人說讓我非常非常的失望非常非常的失望您如果認為一旦被提名這些問題都不適合回答的話那顯然其他回答這些問題的被提名人他們都做了不適當的事情這一步具體的請教
transcript.whisperx[40].start 938.956
transcript.whisperx[40].end 959.218
transcript.whisperx[40].text 在113年憲判制第8號判決他說要最嚴重的犯罪類型這個是ICCPR第6條來的我們大家都很熟悉但除了這個以外他還加了要個案犯罪情節最嚴重另外一個他說必須要各審級
transcript.whisperx[41].start 960.558
transcript.whisperx[41].end 977.692
transcript.whisperx[41].text 不是只有第一審喔美國各州有死刑的制度的各州絕大多數都是陪審團第一審的一字決被提名的人你知不知道有哪一個國家要求各個審計都必須要求一字決的
transcript.whisperx[42].start 979.775
transcript.whisperx[42].end 1002.329
transcript.whisperx[42].text 委員在這件事情上那個有哪一個國家是採行這樣的立法例因為目前廢除死刑的國家已經非常多在普通法上的國家有哪一個國家是採行這樣的立法例這是一個非常簡單的問題啊您被提名為司法院院長應該有足夠的能力回答這個簡單的問題啊有哪一個國家採行這樣的立法例
transcript.whisperx[43].start 1005.231
transcript.whisperx[43].end 1025.406
transcript.whisperx[43].text 目前沒有國家採行這樣的立法沒有採行這樣的立法例嘛對於我國的憲法法庭對我 透過憲法的解釋透過憲法的解釋他們事實上在做什麼事情他們已經在扮演立法者的角色透過憲法法庭在扮演立法者的角色我接下來問題也很具體您認為 您認為
transcript.whisperx[44].start 1028.462
transcript.whisperx[44].end 1041.11
transcript.whisperx[44].text 在實行判決的時候要不要求各個省級要一致決的這件事情這應該是立法者的政策決定還是憲法法庭法官的決定
transcript.whisperx[45].start 1042.199
transcript.whisperx[45].end 1070.022
transcript.whisperx[45].text 委員就像我剛剛在這個報告致詞的時候提到那到底是要維護憲法還是尊重多數是一個對憲法法庭很重大的挑戰那容我先很快的說因為大法官這一次的憲法判決我把問題把它理得更清楚一點多數人的意見憲法法庭維護人權這個是一個問題的模組但我在問的不是這個問題的模組
transcript.whisperx[46].start 1071.587
transcript.whisperx[46].end 1092.639
transcript.whisperx[46].text 我在問的是什麼模組你應該非常的清楚司法權在當代憲政民主的國家當中他什麼時候應該積極什麼時候應該消極什麼時候應該邁入立法者他們立法形成的空間這個是在憲法的解釋上憲法的政策上
transcript.whisperx[47].start 1093.598
transcript.whisperx[47].end 1107.356
transcript.whisperx[47].text 容我這樣講啊ABC的問題每一個人有每一個人不同的看法我相信本院的委員還有整個台灣的公民社會有權利知道每一位被提名的人對司法權
transcript.whisperx[48].start 1108.698
transcript.whisperx[48].end 1135.048
transcript.whisperx[48].text 在特定的脈絡下面.他應該要扮演什麼樣的角色.有權利知道.所以我才請教你這個問題.我的問題非常的具體.我的問題非常的具體.在這個問題脈絡的時候.是應該大法官.扮演的什麼.扮演的立法者的角色.具姓名的告訴你.每一個審計都要一致決.還是這件事情應該交由立法者來加以決斷.
transcript.whisperx[49].start 1136.36
transcript.whisperx[49].end 1163.568
transcript.whisperx[49].text 委員我剛在致詞的時候就已經提到了事實上就這件事情我在許多的法學文章都有表示我的立場我認為我們應該要採取程序跟制度取向的對話法院那這也是目前很多國家所採取的換句話說制定相關的程序、制度跟要求然後請這個立法院在適當的時間內加以修法立法這個是目前在全球憲政底下對話式的方法最有效的方式
transcript.whisperx[50].start 1164.833
transcript.whisperx[50].end 1193.508
transcript.whisperx[50].text 此期各審期一定要一致決請問立法院還剩下什麼立法行程的空間只有一個選擇啊就是要求一定要一致決否則違憲剛剛您所講的要對話、要溝通我們什麼時候看到了我們的憲法法庭在這裡留有任何對話、討論的空間沒有啊當我決定這是憲法價值的時候
transcript.whisperx[51].start 1194.431
transcript.whisperx[51].end 1213.359
transcript.whisperx[51].text 立法者只有一件事情只有一件事情依照憲法法庭這幾位大法官他們自己所形成的價值來修改法律除了一字訣以外有其他修法的空間嗎有其他修法的空間嗎來請教被提名人
transcript.whisperx[52].start 1215.066
transcript.whisperx[52].end 1240.967
transcript.whisperx[52].text 在這個問題上大法官因為他當時繫針的法律是法院組織法而不是國民法官法所以大法官已經...對不起喔我沒有提到國民法官法的部分現在國民法官的制度只有在第一審試用嘛問題的焦點是什麼我們大法官創設了獨步全球的制度啊連上幾審都要求一致決啊這是一個大法官應該做的事嗎這會攸關什麼接下...
transcript.whisperx[53].start 1262.097
transcript.whisperx[53].end 1262.482
transcript.whisperx[53].text 好,謝謝黃委員