iVOD / 162532

Field Value
IVOD_ID 162532
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/162532
日期 2025-06-16
會議資料.會議代碼 委員會-11-3-36-20
會議資料.會議代碼:str 第11屆第3會期司法及法制委員會第20次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 20
會議資料.種類 委員會
會議資料.委員會代碼[0] 36
會議資料.委員會代碼:str[0] 司法及法制委員會
會議資料.標題 第11屆第3會期司法及法制委員會第20次全體委員會議
影片種類 Clip
開始時間 2025-06-16T12:12:09+08:00
結束時間 2025-06-16T12:25:06+08:00
影片長度 00:12:57
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/880d22d0956e9b7d9a24793132b9791965ca6c232fe926b71ee0ab7c138f16ac33e48bbe8774fc435ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 張啓楷
委員發言時間 12:12:09 - 12:25:06
會議時間 2025-06-16T09:00:00+08:00
會議名稱 立法院第11屆第3會期司法及法制委員會第20次全體委員會議(事由:一、邀請法務部部長、法務部矯正署署長、法務部廉政署率所屬相關單位列席就「鑑於近來矯正監所暴力衝突事件頻傳,如何維護『矯正是刑事司法最後一道防線』及相關獄政策進作為,包括提升戒護人力資源」進行專題報告,並備質詢。 二、繼續併案審查 (一)委員徐巧芯等17人擬具「監察院組織法第三條之一及第三條之二條文修正草案」案。 (二)委員王鴻薇等17人擬具「監察院組織法第三條之一條文修正草案」案。 三、審查委員徐巧芯等22人擬具「監察院國家人權委員會組織法第三條條文修正草案」案。 【6月16日及18日兩天一次會】)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 16.48409375
transcript.pyannote[0].end 19.48784375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 19.80846875
transcript.pyannote[1].end 21.15846875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 25.00596875
transcript.pyannote[2].end 25.02284375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 25.02284375
transcript.pyannote[3].end 25.64721875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 35.35034375
transcript.pyannote[4].end 35.77221875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 36.68346875
transcript.pyannote[5].end 38.43846875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 38.82659375
transcript.pyannote[6].end 41.72909375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 42.92721875
transcript.pyannote[7].end 44.61471875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 45.44159375
transcript.pyannote[8].end 49.93034375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 50.52096875
transcript.pyannote[9].end 52.42784375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 52.86659375
transcript.pyannote[10].end 54.19971875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 54.84096875
transcript.pyannote[11].end 56.61284375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 57.20346875
transcript.pyannote[12].end 61.11846875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 61.67534375
transcript.pyannote[13].end 65.11784375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 61.96221875
transcript.pyannote[14].end 63.02534375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 65.40471875
transcript.pyannote[15].end 67.37909375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 67.85159375
transcript.pyannote[16].end 71.58096875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 72.72846875
transcript.pyannote[17].end 85.08096875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 81.18284375
transcript.pyannote[18].end 94.58159375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 94.05846875
transcript.pyannote[19].end 109.41471875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 96.57284375
transcript.pyannote[20].end 96.94409375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 104.21721875
transcript.pyannote[21].end 115.20284375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 112.06409375
transcript.pyannote[22].end 113.75159375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 114.88221875
transcript.pyannote[23].end 122.30721875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 118.15596875
transcript.pyannote[24].end 121.42971875
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 123.82596875
transcript.pyannote[25].end 126.03659375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 126.22221875
transcript.pyannote[26].end 134.11971875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 135.36846875
transcript.pyannote[27].end 142.55721875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 137.41034375
transcript.pyannote[28].end 145.20659375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 145.42596875
transcript.pyannote[29].end 146.45534375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 147.85596875
transcript.pyannote[30].end 148.93596875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 151.12971875
transcript.pyannote[31].end 151.45034375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 153.42471875
transcript.pyannote[32].end 155.38221875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 156.37784375
transcript.pyannote[33].end 157.52534375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 157.96409375
transcript.pyannote[34].end 158.89221875
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 159.22971875
transcript.pyannote[35].end 160.56284375
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 160.93409375
transcript.pyannote[36].end 162.30096875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 163.07721875
transcript.pyannote[37].end 164.12346875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 165.00096875
transcript.pyannote[38].end 166.72221875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 167.88659375
transcript.pyannote[39].end 169.25346875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 169.40534375
transcript.pyannote[40].end 171.44721875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 172.84784375
transcript.pyannote[41].end 176.49284375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 177.31971875
transcript.pyannote[42].end 178.60221875
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 179.26034375
transcript.pyannote[43].end 181.09971875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 181.70721875
transcript.pyannote[44].end 182.78721875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 183.47909375
transcript.pyannote[45].end 185.11596875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 185.65596875
transcript.pyannote[46].end 187.07346875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 188.22096875
transcript.pyannote[47].end 189.57096875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 191.62971875
transcript.pyannote[48].end 193.35096875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 193.77284375
transcript.pyannote[49].end 194.98784375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 195.05534375
transcript.pyannote[50].end 195.93284375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 196.89471875
transcript.pyannote[51].end 197.97471875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 198.66659375
transcript.pyannote[52].end 199.25721875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 200.11784375
transcript.pyannote[53].end 200.87721875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 201.67034375
transcript.pyannote[54].end 202.58159375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 204.28596875
transcript.pyannote[55].end 205.63596875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 206.15909375
transcript.pyannote[56].end 207.22221875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 209.44971875
transcript.pyannote[57].end 210.24284375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 211.15409375
transcript.pyannote[58].end 211.99784375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 213.11159375
transcript.pyannote[59].end 218.76471875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 219.81096875
transcript.pyannote[60].end 222.00471875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 223.16909375
transcript.pyannote[61].end 228.02909375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 228.73784375
transcript.pyannote[62].end 232.02846875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 233.32784375
transcript.pyannote[63].end 260.44596875
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 259.66971875
transcript.pyannote[64].end 269.37284375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 270.73971875
transcript.pyannote[65].end 278.60346875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 279.31221875
transcript.pyannote[66].end 280.66221875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 281.38784375
transcript.pyannote[67].end 282.70409375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 283.22721875
transcript.pyannote[68].end 289.74096875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 290.19659375
transcript.pyannote[69].end 290.75346875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 290.75346875
transcript.pyannote[70].end 295.20846875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 295.63034375
transcript.pyannote[71].end 297.70596875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 298.70159375
transcript.pyannote[72].end 300.52409375
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 301.73909375
transcript.pyannote[73].end 302.92034375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 303.59534375
transcript.pyannote[74].end 304.74284375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 305.16471875
transcript.pyannote[75].end 306.36284375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 307.64534375
transcript.pyannote[76].end 310.58159375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 310.80096875
transcript.pyannote[77].end 313.31534375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 313.88909375
transcript.pyannote[78].end 314.64846875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 316.01534375
transcript.pyannote[79].end 316.79159375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 317.44971875
transcript.pyannote[80].end 318.24284375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 318.58034375
transcript.pyannote[81].end 320.68971875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 321.38159375
transcript.pyannote[82].end 322.76534375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 323.03534375
transcript.pyannote[83].end 324.30096875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 324.87471875
transcript.pyannote[84].end 330.24096875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 331.20284375
transcript.pyannote[85].end 332.60346875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 333.39659375
transcript.pyannote[86].end 336.09659375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 336.87284375
transcript.pyannote[87].end 343.18409375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 344.31471875
transcript.pyannote[88].end 347.41971875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 347.85846875
transcript.pyannote[89].end 349.27596875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 350.38971875
transcript.pyannote[90].end 351.57096875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 351.82409375
transcript.pyannote[91].end 352.75221875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 352.97159375
transcript.pyannote[92].end 358.35471875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 359.21534375
transcript.pyannote[93].end 360.05909375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 361.07159375
transcript.pyannote[94].end 369.27284375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 370.15034375
transcript.pyannote[95].end 372.09096875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 373.74471875
transcript.pyannote[96].end 374.94284375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 375.28034375
transcript.pyannote[97].end 376.49534375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 376.98471875
transcript.pyannote[98].end 377.98034375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 378.94221875
transcript.pyannote[99].end 380.76471875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 381.38909375
transcript.pyannote[100].end 383.21159375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 383.81909375
transcript.pyannote[101].end 384.83159375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 386.78909375
transcript.pyannote[102].end 388.22346875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 388.78034375
transcript.pyannote[103].end 392.17221875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 393.53909375
transcript.pyannote[104].end 398.34846875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 399.15846875
transcript.pyannote[105].end 403.25909375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 404.03534375
transcript.pyannote[106].end 404.84534375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 407.46096875
transcript.pyannote[107].end 410.17784375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 411.02159375
transcript.pyannote[108].end 414.36284375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 414.97034375
transcript.pyannote[109].end 416.11784375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 417.19784375
transcript.pyannote[110].end 420.80909375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 421.26471875
transcript.pyannote[111].end 422.14221875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 422.73284375
transcript.pyannote[112].end 425.36534375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 425.70284375
transcript.pyannote[113].end 442.98284375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 442.98284375
transcript.pyannote[114].end 445.51409375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 443.23596875
transcript.pyannote[115].end 443.59034375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 446.00346875
transcript.pyannote[116].end 447.50534375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 448.06221875
transcript.pyannote[117].end 449.12534375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 449.90159375
transcript.pyannote[118].end 454.00221875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 454.50846875
transcript.pyannote[119].end 465.49409375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 466.32096875
transcript.pyannote[120].end 468.02534375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 468.88596875
transcript.pyannote[121].end 469.98284375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 470.30346875
transcript.pyannote[122].end 471.53534375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 471.68721875
transcript.pyannote[123].end 473.07096875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 474.42096875
transcript.pyannote[124].end 480.71534375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 481.20471875
transcript.pyannote[125].end 483.01034375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 483.63471875
transcript.pyannote[126].end 484.81596875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 485.49096875
transcript.pyannote[127].end 487.61721875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 487.26284375
transcript.pyannote[128].end 489.55784375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 489.92909375
transcript.pyannote[129].end 490.09784375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 490.65471875
transcript.pyannote[130].end 491.53221875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 492.22409375
transcript.pyannote[131].end 494.31659375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 494.95784375
transcript.pyannote[132].end 496.24034375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 496.64534375
transcript.pyannote[133].end 497.16846875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 496.84784375
transcript.pyannote[134].end 500.10471875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 499.37909375
transcript.pyannote[135].end 500.99909375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 501.28596875
transcript.pyannote[136].end 509.47034375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 504.52596875
transcript.pyannote[137].end 504.81284375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 509.35221875
transcript.pyannote[138].end 517.30034375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 517.97534375
transcript.pyannote[139].end 519.98346875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 520.40534375
transcript.pyannote[140].end 523.96596875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 525.26534375
transcript.pyannote[141].end 529.24784375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 525.31596875
transcript.pyannote[142].end 525.73784375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 528.79221875
transcript.pyannote[143].end 534.58034375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 535.01909375
transcript.pyannote[144].end 540.65534375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 540.48659375
transcript.pyannote[145].end 542.69721875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 542.86596875
transcript.pyannote[146].end 546.15659375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 545.56596875
transcript.pyannote[147].end 547.96221875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 547.28721875
transcript.pyannote[148].end 551.60721875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 550.03784375
transcript.pyannote[149].end 554.35784375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 552.73784375
transcript.pyannote[150].end 552.75471875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 553.95284375
transcript.pyannote[151].end 555.67409375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 555.10034375
transcript.pyannote[152].end 559.89284375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 556.75409375
transcript.pyannote[153].end 561.69846875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 564.29721875
transcript.pyannote[154].end 567.40221875
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 567.85784375
transcript.pyannote[155].end 568.61721875
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 569.15721875
transcript.pyannote[156].end 570.03471875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 570.10221875
transcript.pyannote[157].end 570.77721875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 571.58721875
transcript.pyannote[158].end 573.27471875
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 574.42221875
transcript.pyannote[159].end 581.07096875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 582.58971875
transcript.pyannote[160].end 584.26034375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 584.26034375
transcript.pyannote[161].end 584.27721875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 585.40784375
transcript.pyannote[162].end 585.42471875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 585.42471875
transcript.pyannote[163].end 588.32721875
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 585.49221875
transcript.pyannote[164].end 587.68596875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 588.83346875
transcript.pyannote[165].end 590.67284375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 590.90909375
transcript.pyannote[166].end 593.17034375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 593.27159375
transcript.pyannote[167].end 593.59221875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 594.48659375
transcript.pyannote[168].end 595.41471875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 595.97159375
transcript.pyannote[169].end 603.22784375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 603.97034375
transcript.pyannote[170].end 605.45534375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 607.36221875
transcript.pyannote[171].end 615.91784375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 616.40721875
transcript.pyannote[172].end 623.76471875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 623.96721875
transcript.pyannote[173].end 629.65409375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 629.65409375
transcript.pyannote[174].end 633.61971875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 629.95784375
transcript.pyannote[175].end 643.77846875
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 634.63221875
transcript.pyannote[176].end 639.94784375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 641.16284375
transcript.pyannote[177].end 645.60096875
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 646.07346875
transcript.pyannote[178].end 650.93346875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 647.40659375
transcript.pyannote[179].end 647.52471875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 647.52471875
transcript.pyannote[180].end 647.98034375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 647.98034375
transcript.pyannote[181].end 648.03096875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 651.99659375
transcript.pyannote[182].end 652.82346875
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 653.11034375
transcript.pyannote[183].end 654.88221875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 656.24909375
transcript.pyannote[184].end 656.83971875
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 657.36284375
transcript.pyannote[185].end 659.03346875
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 659.69159375
transcript.pyannote[186].end 660.31596875
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 660.68721875
transcript.pyannote[187].end 661.68284375
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 662.62784375
transcript.pyannote[188].end 666.37409375
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 666.82971875
transcript.pyannote[189].end 669.90096875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 670.59284375
transcript.pyannote[190].end 672.82034375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 673.20846875
transcript.pyannote[191].end 673.63034375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 673.95096875
transcript.pyannote[192].end 676.46534375
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 676.81971875
transcript.pyannote[193].end 677.07284375
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 677.07284375
transcript.pyannote[194].end 678.72659375
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 678.47346875
transcript.pyannote[195].end 683.41784375
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 683.67096875
transcript.pyannote[196].end 691.18034375
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 692.05784375
transcript.pyannote[197].end 698.38596875
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 698.82471875
transcript.pyannote[198].end 700.12409375
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 700.54596875
transcript.pyannote[199].end 706.99221875
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 707.56596875
transcript.pyannote[200].end 711.71721875
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 712.05471875
transcript.pyannote[201].end 720.93096875
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 721.92659375
transcript.pyannote[202].end 724.82909375
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 725.33534375
transcript.pyannote[203].end 732.76034375
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 733.21596875
transcript.pyannote[204].end 735.49409375
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 735.84846875
transcript.pyannote[205].end 736.28721875
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 736.65846875
transcript.pyannote[206].end 743.23971875
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 743.86409375
transcript.pyannote[207].end 745.31534375
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 745.78784375
transcript.pyannote[208].end 752.23409375
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 752.99346875
transcript.pyannote[209].end 756.73971875
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 757.49909375
transcript.pyannote[210].end 767.26971875
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 768.24846875
transcript.pyannote[211].end 770.10471875
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 770.47596875
transcript.pyannote[212].end 772.24784375
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 772.56846875
transcript.pyannote[213].end 773.90159375
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 774.52596875
transcript.pyannote[214].end 775.15034375
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 776.53409375
transcript.pyannote[215].end 777.20909375
transcript.whisperx[0].start 16.836
transcript.whisperx[0].end 39.473
transcript.whisperx[0].text 請法務部長跟監察院的複密麻煩複密 法務部長委員好保定剛才趙志偉問你檢測官的倫理規範第13條裡面有沒有入罵
transcript.whisperx[1].start 45.475
transcript.whisperx[1].end 71.355
transcript.whisperx[1].text 或者是不合適的不正的訊問你說你會抽查你如果有發現你會去倒證對不對今天早上黃國昌給你看的那個是不是一個辱罵那沒有違反一個檢察官該有的倫理規範嗎現在更嚴重的那是一個模擬的示範光碟啦其實你鑽石業有聽到嗎包括掃秀配比這個更嚴重啊
transcript.whisperx[2].start 72.813
transcript.whisperx[2].end 84.876
transcript.whisperx[2].text 邵秀佩是直接你們的檢察官喔直接怎麼問他他說你有用廉政署那一套你現在可以呼嚨過去嗎你可以呼嚨過去嗎你給我試看看這是不是不正的詢問有沒有這個當事人之間或證人之間有沒有這些的問題現在法院在審理中嘛我覺得我們任何人都應該跟涉法院的一個審判嘛包括你我都在內這個邵秀佩在庭上都有證實了嘛所以柯文哲明確說把這個光碟呈現給大家
transcript.whisperx[3].start 101.522
transcript.whisperx[3].end 120.34
transcript.whisperx[3].text 給大家看 結果你們檢察官 你們背景的檢察官可以阻擋說光底可以公開 你是作賊心虛啊你要跟法官主張這次法院審理中我們不適合在這次法院去談論審理中的問題法定 你們如果沒有不正信問 沒有作賊心虛為什麼連光底都不可以 都不可以勘驗啊為什麼都不能公開呢
transcript.whisperx[4].start 123.837
transcript.whisperx[4].end 128.918
transcript.whisperx[4].text 你民眾違反了這個倫理規範不是嗎你現在不是個個案欸你當一個大家長你的檢察官辦案辦成這樣子全國都有質疑的時候你不去導正人們強辯這個我沒有強辯喔現在案件在法院的審理方法反正這些光碟陸陸續續都會出來會有真相的人民也會看法務部為什麼要掩蓋那麼多的事實好來請阿王 王副秘
transcript.whisperx[5].start 153.462
transcript.whisperx[5].end 171.356
transcript.whisperx[5].text 妳在監察院應該很久了啦,對不對?是,我在監察院快40年妳有發現啦,妳最近監察院的工作量啊,打折又打折結果薪水一直要往上走嗎?我去統計了一下,妳第五屆應該在監察院對不對?在監察院你們開的這個宴會在第五屆的時候,我去統計了37次啊
transcript.whisperx[6].start 177.352
transcript.whisperx[6].end 182.514
transcript.whisperx[6].text 平均的開會時間75.97到你這一屆的新的監察院打對折耶同樣是開會會砍了一半的時間剩下多少33.67 更過分了陳琦 陳院長發病了生病以後 又打對折
transcript.whisperx[7].start 204.312
transcript.whisperx[7].end 231.738
transcript.whisperx[7].text 我去看你們最近這五次 開會的這個時間齁 真的是有幾次啊你們這一屆不足十分鐘的會議有十次陳局 陳院長請假完之後要開四分鐘的 開六分鐘的要照這個院會去比較你們薪水是不是應該打折 再打折所以只能領四分之一你們這樣怎麼對得起人民偶爾獲偶爾入民脂民膏
transcript.whisperx[8].start 233.336
transcript.whisperx[8].end 259.216
transcript.whisperx[8].text 跟委員說明一下有關於監察職權是不是有比第五屆行使有減少的狀況其實我們有統計我們有統計不管是人民書狀的收受或者是彈劾的人數或者是糾舉或者是糾正甚至質問等等或者中央巡查地方巡查我們所有職權的行使跟第五屆比較起來同期比較起來
transcript.whisperx[9].start 259.796
transcript.whisperx[9].end 261.878
transcript.whisperx[9].text 同樣的標準啊你議會是怎麼不只是同樣的院會不只是萎縮欸萎縮到以前的四分之一特別是陳吉晨院長
transcript.whisperx[10].start 270.782
transcript.whisperx[10].end 297.255
transcript.whisperx[10].text 你們是智慧武功嗎你們怎麼可以這樣對待你們怎麼對得起你們領的薪水欸 一個監察院的監察委員這位女生多少錢比照部會首長欸這樣怎麼對得起民眾啊下次的宴會你們承諾下次宴會好好開好啊 虧你至少回到第六屆或第五屆的一開始嘛你們現在根本我就看你們議程連案子都沒內什麼共識連案子都沒內怎麼對得起民眾然後你們怎麼花錢你們竟然會編列出國的預算
transcript.whisperx[11].start 301.946
transcript.whisperx[11].end 329.411
transcript.whisperx[11].text 這北海道看天熊 種錢當然要砍啊不砍對得起民眾嗎這一個 所以現在監察院為什麼要廢除一個是功能不彰 浪費人民的民脂民膏你一開始 你們今年編的預算欸 十億九千萬欸三減完之後 還有八億多欸你們用的是每一分錢都是人民辛辛苦苦的納稅錢一年的監察院花我們人民納稅錢
transcript.whisperx[12].start 331.26
transcript.whisperx[12].end 342.825
transcript.whisperx[12].text 八億都是這樣開會的一個是浪費民主民革的同時更嚴重的是什麼變成個酬庸養老院的同時工人還不髒甚至變成民進黨的打手我給你看幾個案子來不只是大家一直在討論的欸你們用公務車去送自己的愛犬去去美容的同時時間趕快不能再拖了你們說立即要調查對不對立即調查一個多月快兩個月了這樣怎麼對得起人民不是只有
transcript.whisperx[13].start 361.124
transcript.whisperx[13].end 368.727
transcript.whisperx[13].text 你們秘書長李經歷下台的問題 還有三個人送紀律委員會要開要趕快開 你們時間是在賽跑的你們立即怎麼會變成一個都會兩個都會還在立即更嚴重的來 你看看你們的案子你們是這樣對得起人民的嗎 是變成民進黨的打手陳中彥 台南地檢署還起訴他他接受這個赫娃酒這個招待 業者也承認了
transcript.whisperx[14].start 386.846
transcript.whisperx[14].end 404.637
transcript.whisperx[14].text 相關的人全部都承認了只有一個人 陳仲諺到後來沒有談和成還11比2 你們怎麼對得起人民呢這是當初要設立監察院的目的嗎你們不只沒有好好去辦這個犯罪變成個貪腐的共犯集團了超思雞蛋超思雞蛋在110年的9月份就檢舉了 就已經到你們那邊去檢舉了已經快三年了咧你們辦到哪裡去了
transcript.whisperx[15].start 417.233
transcript.whisperx[15].end 425.014
transcript.whisperx[15].text 你紀念你秘書長站在你這樣的位置他說等北檢一定會彈劾等北檢調查完好那我問這還算不算數
transcript.whisperx[16].start 425.885
transcript.whisperx[16].end 448.808
transcript.whisperx[16].text 報告委員那個陳忠英案件我剛剛有說明過了有關於超思的部分呢其實是有已經有提出調查報告而且有糾正也有糾結也有彈劾然後而且把相關的事證資料非常完整的移到檢察署去偵辦你們那個調查齁最重要的兩個人高高舉起輕輕放下真正決策者是誰
transcript.whisperx[17].start 450.026
transcript.whisperx[17].end 464.969
transcript.whisperx[17].text 那些人就去保定啊 身體重 約了以後就放回去啦 對不對你沖嫌啊 中央市長會啊 你們有查嗎你們碰到民進黨的高官就轉彎啊所以人家才說你們打蒼蠅啊 蚊子院啊 蒼蠅院啊碰到民進黨就轉彎啊 雙標院啊怎麼對得起這名現在更嚴重的超時雞蛋 你看 該辦的人還沒有辦第二個時機已經拖這麼久
transcript.whisperx[18].start 474.468
transcript.whisperx[18].end 493.087
transcript.whisperx[18].text 你那個糾正報告雖然有提了某部分關鍵的人沒有好好辦嘛最重要兩個人嘛好那現在我再問啦我問了李慶麗她說一定會彈劾嘛有 有彈劾沒有彈劾啊你現在只聽在糾正啊有糾正有糾決有彈劾你們現在彈劾了誰我們已經彈劾了張經緯
transcript.whisperx[19].start 495.017
transcript.whisperx[19].end 523.309
transcript.whisperx[19].text 只有一個嘛 對不對其他你本來調查的還有其他的官員呢跟委員說明這個監察院在處理彈劾案件 糾舉案件是有相關的事證具備了以後那才會對人來究責對嘛 所以你們的秘書長答應我說會盡快去辦這個案子嘛然後要彈劾嘛 結果你現在只辦了一個人嘛第二個當然為什麼要把法務部長找上來 否定你這個超思雞蛋拖三個月啊你們現在全部在辦柯文哲在辦那個國民黨那個什麼幽靈連署是吧
transcript.whisperx[20].start 525.399
transcript.whisperx[20].end 542.621
transcript.whisperx[20].text 一個超思雞蛋你們把相關人約去你們就停跟委員報告這台北電在爭判中啦那也搜索了也扣案了也扣案了也有約談了那我想這部分我們也尊重北檢的偵查機構因為我對台北電你知不知道你前面約談到現在停多久了
transcript.whisperx[21].start 543.381
transcript.whisperx[21].end 555.244
transcript.whisperx[21].text 這個我們尊重北檢的審查計劃因為我覺得你按那個暫停鍵你已經按了多久了我覺得要給人家檢查你們現在是所有的責任都在辦柯文哲都在辦那個國民黨的那個幽靈連署罷了詐騙案那麼多不好好辦然後一個超出雞蛋人民納稅前當會五億多
transcript.whisperx[22].start 564.315
transcript.whisperx[22].end 592.843
transcript.whisperx[22].text 停太久了吧 你怎麼對得起人民而且你們的辦案是怎麼樣剛剛在講的陳其仲跟林聰賢你們約去以後人家請回了耶所有台灣的民眾都看得清有第一個大會人民那麼多錢超過五億耶 五億三千萬耶第二個真的結社者都沒事你們在辦案你們怎麼對得起人民時間他太長 該辦的人不辦但如果辦的話有收手 有扣押扣了六千多萬啦 六千九百多萬啦
transcript.whisperx[23].start 594.917
transcript.whisperx[23].end 605.4
transcript.whisperx[23].text 扣啦 五億三千多萬你扣了六千多而且現在把責任全部都推給那個業者這是什麼 官員被騙沒關係 這個案子第一個我看你要再拖多久 第二個辦出來所以現在人民眼睛是血亮的啦在看法務部怎麼辦 在看監察院怎麼辦這個案子啦
transcript.whisperx[24].start 617.989
transcript.whisperx[24].end 633.602
transcript.whisperx[24].text 因為這個案件是北檢在辦我覺得我要尊重北檢他們獨立的偵查權我們要給他一個好的不要去受到任何干涉的一個辦案空間對啦 你北檢在辦案有興趣的他在辦科文哲什麼好像在雷厲風行如果他不想辦該約的人也不好好關鍵人不好好辦這個人民會判斷的到底有沒有雙標
transcript.whisperx[25].start 646.132
transcript.whisperx[25].end 672.652
transcript.whisperx[25].text 有沒有雙標 人民會親入看另外還有一個案子我特別提醒 監察那個 複密去年啦 河山場的一號機停了之後台電竟然去跟燒煤的麥寮又繼續延約了一堆雲林嘉義跟彰化的民眾還有一些民團 環保團體都上來抗議我還陪著他們親和民團存情喔這個案子要辦喔 你不能再拖了 已經拖久了
transcript.whisperx[26].start 674.144
transcript.whisperx[26].end 690.175
transcript.whisperx[26].text 報告委員,我們已經提出調查意見,已經有提出上個...那你們去追責任,有沒有繼續再燒嗎?你們的意見是怎麼樣?衛土然後呢?衛土然後繼續燒,然後繼續傷害我們人民的健康,火力要全開,用這個燒煤,婚姻人生要漂亮,嫁娶嫁,種花人生要漂亮
transcript.whisperx[27].start 692.53
transcript.whisperx[27].end 720.603
transcript.whisperx[27].text 會線一直在往上走那叫設監察院幹什麼所以我剛剛講一開始設監察院直施抨擊耶結果你現在已經幾個問題了第一個你浪費民脂民膏你功能不髒的同時第二個變成了養老院然後更嚴重的你現在變成說該有的案子到你那邊時程大或者沒有處理你不只沒有直施抨擊發揮你該有的糾正或者是彈劾的這個潛力耶一時呆乎沒有發生潛力他還變成了貪腐的一個
transcript.whisperx[28].start 722.397
transcript.whisperx[28].end 742.726
transcript.whisperx[28].text 變成溫床了你這樣不是變成共犯嗎所以當然要刪掉啊廢除監察院我相信你現在去做一個投票全民大概我相信在這八成以上都要廢監察院好在廢之前廢五之言了富民你說你在監察院待那麼久了監察院以前曾經高峰諒解過我七十兩年開始一直照監察院的新聞的時候
transcript.whisperx[29].start 743.925
transcript.whisperx[29].end 750.451
transcript.whisperx[29].text 那金蟬多被人家尊敬啊 雷震案 雷震案什麼一個案子每次議員會外講 那個時候都是各報的頭版頭欸記者在那邊鎖著 可能一兩個月前 就開始在追那個新聞啊你們提出來的糾正案或者彈劾案 全民都是矚目的 對社會是正面的那搞到現在變成一個蚊子院 還變成一個貪腐的一個蚊床 怎麼會這樣
transcript.whisperx[30].start 768.374
transcript.whisperx[30].end 775.051
transcript.whisperx[30].text 這把以前的理想跟改革找回來好不好廢之前趕快重振這個監察院的雄風好不好加油大家