iVOD / 162112

Field Value
IVOD_ID 162112
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/162112
日期 2025-06-02
會議資料.會議代碼 委員會-11-3-36-19
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19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 19
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19次全體委員會議
影片種類 Clip
開始時間 2025-06-02T09:15:40+08:00
結束時間 2025-06-02T09:32:08+08:00
影片長度 00:16:28
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/f1b1c5cbef0f6d9eef1c464b69b330f552232a9b15fab92fc39fd917a7df395efbc34bea683b19dc5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃國昌
委員發言時間 09:15:40 - 09:32:08
會議時間 2025-06-02T09:00:00+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19次全體委員會議(事由:邀請監察院秘書長、審計部審計長、司法院副秘書長、法務部部長、法務部調查局局長、法務部廉政署署長、銓敘部、公務人員保障暨培訓委員會、行政院人事行政總處、行政院主計總處、內政部警政署率所屬相關單位列席就「如何落實清廉政府及公務員瀆職之態樣與防制」進行專題報告,並備質詢。 【6月2日、4日及5日三天一次會】)
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 4.53659375
transcript.pyannote[0].end 9.51471875
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 9.68346875
transcript.pyannote[1].end 11.89409375
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 12.34971875
transcript.pyannote[2].end 12.73784375
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 14.52659375
transcript.pyannote[3].end 16.53471875
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 16.95659375
transcript.pyannote[4].end 19.25159375
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 19.35284375
transcript.pyannote[5].end 20.24721875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 20.38221875
transcript.pyannote[6].end 23.03159375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 23.63909375
transcript.pyannote[7].end 38.33721875
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 39.23159375
transcript.pyannote[8].end 43.65284375
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 44.31096875
transcript.pyannote[9].end 46.80846875
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 47.56784375
transcript.pyannote[10].end 49.33971875
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 49.94721875
transcript.pyannote[11].end 54.33471875
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 54.90846875
transcript.pyannote[12].end 56.59596875
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 57.16971875
transcript.pyannote[13].end 59.38034375
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 60.13971875
transcript.pyannote[14].end 63.02534375
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 64.13909375
transcript.pyannote[15].end 67.91909375
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 68.59409375
transcript.pyannote[16].end 69.70784375
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 70.07909375
transcript.pyannote[17].end 71.02409375
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 71.81721875
transcript.pyannote[18].end 74.93909375
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 74.97284375
transcript.pyannote[19].end 75.02346875
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 75.17534375
transcript.pyannote[20].end 77.65596875
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 78.98909375
transcript.pyannote[21].end 80.06909375
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 80.44034375
transcript.pyannote[22].end 81.43596875
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 82.70159375
transcript.pyannote[23].end 83.14034375
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 83.42721875
transcript.pyannote[24].end 86.92034375
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 87.56159375
transcript.pyannote[25].end 93.68721875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 92.10096875
transcript.pyannote[26].end 92.99534375
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 94.34534375
transcript.pyannote[27].end 95.77971875
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 95.88096875
transcript.pyannote[28].end 99.35721875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 99.52596875
transcript.pyannote[29].end 103.03596875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 103.45784375
transcript.pyannote[30].end 117.86909375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 118.39221875
transcript.pyannote[31].end 120.26534375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 120.55221875
transcript.pyannote[32].end 125.15909375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 125.41221875
transcript.pyannote[33].end 128.14596875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 128.65221875
transcript.pyannote[34].end 132.22971875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 132.65159375
transcript.pyannote[35].end 136.12784375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 136.33034375
transcript.pyannote[36].end 137.42721875
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 138.27096875
transcript.pyannote[37].end 141.35909375
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 142.23659375
transcript.pyannote[38].end 150.15096875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 146.89409375
transcript.pyannote[39].end 147.51846875
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 150.53909375
transcript.pyannote[40].end 154.04909375
transcript.pyannote[41].speaker SPEAKER_03
transcript.pyannote[41].start 154.55534375
transcript.pyannote[41].end 161.11971875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 161.86221875
transcript.pyannote[42].end 168.00471875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 168.61221875
transcript.pyannote[43].end 173.67471875
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 174.31596875
transcript.pyannote[44].end 177.48846875
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 178.31534375
transcript.pyannote[45].end 179.91846875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 179.91846875
transcript.pyannote[46].end 180.77909375
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 181.79159375
transcript.pyannote[47].end 183.04034375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 183.04034375
transcript.pyannote[48].end 183.49596875
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 184.08659375
transcript.pyannote[49].end 185.40284375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 186.26346875
transcript.pyannote[50].end 187.15784375
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 201.29909375
transcript.pyannote[51].end 204.10034375
transcript.pyannote[52].speaker SPEAKER_03
transcript.pyannote[52].start 204.67409375
transcript.pyannote[52].end 206.31096875
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 206.80034375
transcript.pyannote[53].end 208.01534375
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 208.26846875
transcript.pyannote[54].end 211.52534375
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 212.04846875
transcript.pyannote[55].end 213.46596875
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 214.52909375
transcript.pyannote[56].end 217.38096875
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 218.00534375
transcript.pyannote[57].end 220.48596875
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 221.02596875
transcript.pyannote[58].end 223.01721875
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 226.32471875
transcript.pyannote[59].end 226.96596875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 226.96596875
transcript.pyannote[60].end 227.37096875
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 227.92784375
transcript.pyannote[61].end 227.94471875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 227.94471875
transcript.pyannote[62].end 229.12596875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 230.17221875
transcript.pyannote[63].end 233.20971875
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 233.76659375
transcript.pyannote[64].end 236.01096875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 236.34846875
transcript.pyannote[65].end 238.44096875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 239.06534375
transcript.pyannote[66].end 245.86596875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 247.80659375
transcript.pyannote[67].end 253.07159375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 254.87721875
transcript.pyannote[68].end 256.42971875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 257.34096875
transcript.pyannote[69].end 259.06221875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 259.48409375
transcript.pyannote[70].end 260.37846875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 261.91409375
transcript.pyannote[71].end 264.15846875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 264.91784375
transcript.pyannote[72].end 266.50409375
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 267.78659375
transcript.pyannote[73].end 269.57534375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 270.67221875
transcript.pyannote[74].end 271.58346875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 272.19096875
transcript.pyannote[75].end 273.00096875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 273.79409375
transcript.pyannote[76].end 275.56596875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 277.65846875
transcript.pyannote[77].end 278.97471875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 279.75096875
transcript.pyannote[78].end 280.30784375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 280.64534375
transcript.pyannote[79].end 282.70409375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 283.29471875
transcript.pyannote[80].end 284.67846875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 285.47159375
transcript.pyannote[81].end 286.72034375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 287.34471875
transcript.pyannote[82].end 289.45409375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 290.29784375
transcript.pyannote[83].end 295.25909375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 295.61346875
transcript.pyannote[84].end 298.49909375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 298.93784375
transcript.pyannote[85].end 306.12659375
transcript.pyannote[86].speaker SPEAKER_04
transcript.pyannote[86].start 309.21471875
transcript.pyannote[86].end 314.19284375
transcript.pyannote[87].speaker SPEAKER_04
transcript.pyannote[87].start 314.20971875
transcript.pyannote[87].end 314.26034375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 314.26034375
transcript.pyannote[88].end 317.02784375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 317.77034375
transcript.pyannote[89].end 320.89221875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 321.36471875
transcript.pyannote[90].end 323.47409375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 324.01409375
transcript.pyannote[91].end 326.41034375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 327.35534375
transcript.pyannote[92].end 328.43534375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 329.68409375
transcript.pyannote[93].end 332.18159375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 332.85659375
transcript.pyannote[94].end 334.42596875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 335.82659375
transcript.pyannote[95].end 338.69534375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 339.58971875
transcript.pyannote[96].end 340.88909375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 342.00284375
transcript.pyannote[97].end 343.09971875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 343.92659375
transcript.pyannote[98].end 346.15409375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 346.93034375
transcript.pyannote[99].end 349.32659375
transcript.pyannote[100].speaker SPEAKER_04
transcript.pyannote[100].start 349.32659375
transcript.pyannote[100].end 349.36034375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 349.36034375
transcript.pyannote[101].end 349.37721875
transcript.pyannote[102].speaker SPEAKER_04
transcript.pyannote[102].start 350.15346875
transcript.pyannote[102].end 355.72221875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 355.36784375
transcript.pyannote[103].end 357.62909375
transcript.pyannote[104].speaker SPEAKER_04
transcript.pyannote[104].start 356.75159375
transcript.pyannote[104].end 368.53034375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 368.53034375
transcript.pyannote[105].end 368.54721875
transcript.pyannote[106].speaker SPEAKER_04
transcript.pyannote[106].start 369.89721875
transcript.pyannote[106].end 369.93096875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 369.93096875
transcript.pyannote[107].end 371.65221875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 372.39471875
transcript.pyannote[108].end 373.71096875
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 374.08221875
transcript.pyannote[109].end 376.36034375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 376.86659375
transcript.pyannote[110].end 379.38096875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 379.54971875
transcript.pyannote[111].end 383.97096875
transcript.pyannote[112].speaker SPEAKER_04
transcript.pyannote[112].start 383.97096875
transcript.pyannote[112].end 393.79221875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 391.09221875
transcript.pyannote[113].end 391.10909375
transcript.pyannote[114].speaker SPEAKER_05
transcript.pyannote[114].start 391.10909375
transcript.pyannote[114].end 391.44659375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 392.49284375
transcript.pyannote[115].end 392.57721875
transcript.pyannote[116].speaker SPEAKER_05
transcript.pyannote[116].start 392.57721875
transcript.pyannote[116].end 392.74596875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 392.74596875
transcript.pyannote[117].end 392.79659375
transcript.pyannote[118].speaker SPEAKER_04
transcript.pyannote[118].start 394.68659375
transcript.pyannote[118].end 404.37284375
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 397.28534375
transcript.pyannote[119].end 398.29784375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 399.51284375
transcript.pyannote[120].end 399.88409375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 403.51221875
transcript.pyannote[121].end 404.10284375
transcript.pyannote[122].speaker SPEAKER_04
transcript.pyannote[122].start 404.62596875
transcript.pyannote[122].end 414.10971875
transcript.pyannote[123].speaker SPEAKER_04
transcript.pyannote[123].start 414.48096875
transcript.pyannote[123].end 429.29721875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 428.74034375
transcript.pyannote[124].end 431.10284375
transcript.pyannote[125].speaker SPEAKER_04
transcript.pyannote[125].start 430.52909375
transcript.pyannote[125].end 436.33409375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 434.44409375
transcript.pyannote[126].end 435.22034375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 436.33409375
transcript.pyannote[127].end 436.35096875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 438.88221875
transcript.pyannote[128].end 439.74284375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 440.11409375
transcript.pyannote[129].end 452.02784375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 446.76284375
transcript.pyannote[130].end 447.35346875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 452.44971875
transcript.pyannote[131].end 455.16659375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 455.33534375
transcript.pyannote[132].end 455.70659375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 455.92596875
transcript.pyannote[133].end 455.99346875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 455.99346875
transcript.pyannote[134].end 458.86221875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 459.52034375
transcript.pyannote[135].end 460.44846875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 461.00534375
transcript.pyannote[136].end 466.75971875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 467.72159375
transcript.pyannote[137].end 473.81346875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 474.96096875
transcript.pyannote[138].end 475.60221875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 476.36159375
transcript.pyannote[139].end 478.45409375
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 478.67346875
transcript.pyannote[140].end 480.27659375
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 480.98534375
transcript.pyannote[141].end 483.29721875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 483.97221875
transcript.pyannote[142].end 484.76534375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 485.60909375
transcript.pyannote[143].end 486.67221875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 488.02221875
transcript.pyannote[144].end 489.15284375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 489.37221875
transcript.pyannote[145].end 490.28346875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 491.54909375
transcript.pyannote[146].end 492.59534375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 494.38409375
transcript.pyannote[147].end 496.64534375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 496.93221875
transcript.pyannote[148].end 498.65346875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 500.03721875
transcript.pyannote[149].end 502.58534375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 503.73284375
transcript.pyannote[150].end 505.84221875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 506.29784375
transcript.pyannote[151].end 507.51284375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 508.42409375
transcript.pyannote[152].end 510.01034375
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 510.75284375
transcript.pyannote[153].end 511.84971875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 512.65971875
transcript.pyannote[154].end 513.62159375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 514.87034375
transcript.pyannote[155].end 516.40596875
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 516.82784375
transcript.pyannote[156].end 517.77284375
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 518.34659375
transcript.pyannote[157].end 520.45596875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 521.06346875
transcript.pyannote[158].end 521.78909375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 522.39659375
transcript.pyannote[159].end 523.44284375
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 523.79721875
transcript.pyannote[160].end 526.04159375
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 526.17659375
transcript.pyannote[161].end 528.30284375
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 528.65721875
transcript.pyannote[162].end 530.47971875
transcript.pyannote[163].speaker SPEAKER_05
transcript.pyannote[163].start 532.92659375
transcript.pyannote[163].end 533.55096875
transcript.pyannote[164].speaker SPEAKER_05
transcript.pyannote[164].start 534.04034375
transcript.pyannote[164].end 534.39471875
transcript.pyannote[165].speaker SPEAKER_05
transcript.pyannote[165].start 535.87971875
transcript.pyannote[165].end 537.51659375
transcript.pyannote[166].speaker SPEAKER_05
transcript.pyannote[166].start 537.65159375
transcript.pyannote[166].end 538.57971875
transcript.pyannote[167].speaker SPEAKER_05
transcript.pyannote[167].start 539.28846875
transcript.pyannote[167].end 542.41034375
transcript.pyannote[168].speaker SPEAKER_05
transcript.pyannote[168].start 542.71409375
transcript.pyannote[168].end 547.40534375
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 547.15221875
transcript.pyannote[169].end 552.36659375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 553.68284375
transcript.pyannote[170].end 557.49659375
transcript.pyannote[171].speaker SPEAKER_05
transcript.pyannote[171].start 560.06159375
transcript.pyannote[171].end 560.87159375
transcript.pyannote[172].speaker SPEAKER_05
transcript.pyannote[172].start 563.03159375
transcript.pyannote[172].end 577.05471875
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 567.70596875
transcript.pyannote[173].end 568.24596875
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 574.59096875
transcript.pyannote[174].end 575.29971875
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 577.05471875
transcript.pyannote[175].end 577.45971875
transcript.pyannote[176].speaker SPEAKER_05
transcript.pyannote[176].start 577.45971875
transcript.pyannote[176].end 577.47659375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 577.47659375
transcript.pyannote[177].end 580.90221875
transcript.pyannote[178].speaker SPEAKER_05
transcript.pyannote[178].start 577.51034375
transcript.pyannote[178].end 577.72971875
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 581.17221875
transcript.pyannote[179].end 588.96846875
transcript.pyannote[180].speaker SPEAKER_05
transcript.pyannote[180].start 581.39159375
transcript.pyannote[180].end 581.42534375
transcript.pyannote[181].speaker SPEAKER_05
transcript.pyannote[181].start 588.96846875
transcript.pyannote[181].end 594.99284375
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 594.80721875
transcript.pyannote[182].end 596.83221875
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 598.16534375
transcript.pyannote[183].end 598.97534375
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 599.78534375
transcript.pyannote[184].end 601.48971875
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 603.63284375
transcript.pyannote[185].end 605.59034375
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 606.55221875
transcript.pyannote[186].end 608.61096875
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 612.35721875
transcript.pyannote[187].end 612.89721875
transcript.pyannote[188].speaker SPEAKER_05
transcript.pyannote[188].start 614.29784375
transcript.pyannote[188].end 617.72346875
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 617.57159375
transcript.pyannote[189].end 620.89596875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 621.33471875
transcript.pyannote[190].end 622.81971875
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 623.78159375
transcript.pyannote[191].end 626.00909375
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 626.34659375
transcript.pyannote[192].end 628.89471875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 629.68784375
transcript.pyannote[193].end 632.35409375
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 632.59034375
transcript.pyannote[194].end 636.64034375
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 637.18034375
transcript.pyannote[195].end 641.14596875
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 641.70284375
transcript.pyannote[196].end 643.05284375
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 644.75721875
transcript.pyannote[197].end 647.03534375
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 647.84534375
transcript.pyannote[198].end 649.22909375
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 649.81971875
transcript.pyannote[199].end 650.95034375
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 651.74346875
transcript.pyannote[200].end 653.16096875
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 653.90346875
transcript.pyannote[201].end 657.41346875
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 657.54846875
transcript.pyannote[202].end 661.78409375
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 663.08346875
transcript.pyannote[203].end 668.83784375
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 672.07784375
transcript.pyannote[204].end 673.00596875
transcript.pyannote[205].speaker SPEAKER_05
transcript.pyannote[205].start 675.01409375
transcript.pyannote[205].end 676.04346875
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 676.12784375
transcript.pyannote[206].end 677.05596875
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 677.10659375
transcript.pyannote[207].end 677.98409375
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 678.49034375
transcript.pyannote[208].end 679.38471875
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 681.74721875
transcript.pyannote[209].end 683.92409375
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 684.80159375
transcript.pyannote[210].end 686.94471875
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 687.65346875
transcript.pyannote[211].end 689.42534375
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 689.86409375
transcript.pyannote[212].end 692.17596875
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 692.26034375
transcript.pyannote[213].end 695.43284375
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 696.66471875
transcript.pyannote[214].end 698.01471875
transcript.pyannote[215].speaker SPEAKER_05
transcript.pyannote[215].start 700.68096875
transcript.pyannote[215].end 706.08096875
transcript.pyannote[216].speaker SPEAKER_02
transcript.pyannote[216].start 702.23346875
transcript.pyannote[216].end 702.77346875
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 705.69284375
transcript.pyannote[217].end 706.55346875
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 708.39284375
transcript.pyannote[218].end 713.92784375
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 714.33284375
transcript.pyannote[219].end 714.90659375
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 716.10471875
transcript.pyannote[220].end 717.23534375
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 719.80034375
transcript.pyannote[221].end 721.58909375
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 723.41159375
transcript.pyannote[222].end 724.59284375
transcript.pyannote[223].speaker SPEAKER_02
transcript.pyannote[223].start 725.23409375
transcript.pyannote[223].end 726.36471875
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 727.10721875
transcript.pyannote[224].end 728.98034375
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 730.22909375
transcript.pyannote[225].end 731.88284375
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 732.79409375
transcript.pyannote[226].end 734.09346875
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 734.97096875
transcript.pyannote[227].end 736.18596875
transcript.pyannote[228].speaker SPEAKER_02
transcript.pyannote[228].start 736.94534375
transcript.pyannote[228].end 738.78471875
transcript.pyannote[229].speaker SPEAKER_02
transcript.pyannote[229].start 739.45971875
transcript.pyannote[229].end 740.43846875
transcript.pyannote[230].speaker SPEAKER_02
transcript.pyannote[230].start 741.58596875
transcript.pyannote[230].end 742.61534375
transcript.pyannote[231].speaker SPEAKER_02
transcript.pyannote[231].start 743.89784375
transcript.pyannote[231].end 744.74159375
transcript.pyannote[232].speaker SPEAKER_02
transcript.pyannote[232].start 750.07409375
transcript.pyannote[232].end 753.12846875
transcript.pyannote[233].speaker SPEAKER_02
transcript.pyannote[233].start 756.46971875
transcript.pyannote[233].end 759.99659375
transcript.pyannote[234].speaker SPEAKER_02
transcript.pyannote[234].start 760.63784375
transcript.pyannote[234].end 766.49346875
transcript.pyannote[235].speaker SPEAKER_02
transcript.pyannote[235].start 766.96596875
transcript.pyannote[235].end 770.81346875
transcript.pyannote[236].speaker SPEAKER_02
transcript.pyannote[236].start 771.26909375
transcript.pyannote[236].end 774.30659375
transcript.pyannote[237].speaker SPEAKER_02
transcript.pyannote[237].start 774.76221875
transcript.pyannote[237].end 778.60971875
transcript.pyannote[238].speaker SPEAKER_02
transcript.pyannote[238].start 779.20034375
transcript.pyannote[238].end 781.09034375
transcript.pyannote[239].speaker SPEAKER_02
transcript.pyannote[239].start 781.54596875
transcript.pyannote[239].end 783.60471875
transcript.pyannote[240].speaker SPEAKER_05
transcript.pyannote[240].start 782.86221875
transcript.pyannote[240].end 786.27096875
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 786.08534375
transcript.pyannote[241].end 788.05971875
transcript.pyannote[242].speaker SPEAKER_02
transcript.pyannote[242].start 788.27909375
transcript.pyannote[242].end 790.40534375
transcript.pyannote[243].speaker SPEAKER_02
transcript.pyannote[243].start 790.82721875
transcript.pyannote[243].end 792.00846875
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 792.29534375
transcript.pyannote[244].end 793.45971875
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 794.37096875
transcript.pyannote[245].end 795.43409375
transcript.pyannote[246].speaker SPEAKER_02
transcript.pyannote[246].start 796.19346875
transcript.pyannote[246].end 796.68284375
transcript.pyannote[247].speaker SPEAKER_02
transcript.pyannote[247].start 797.20596875
transcript.pyannote[247].end 797.99909375
transcript.pyannote[248].speaker SPEAKER_05
transcript.pyannote[248].start 799.73721875
transcript.pyannote[248].end 801.50909375
transcript.pyannote[249].speaker SPEAKER_05
transcript.pyannote[249].start 802.04909375
transcript.pyannote[249].end 805.81221875
transcript.pyannote[250].speaker SPEAKER_02
transcript.pyannote[250].start 805.81221875
transcript.pyannote[250].end 808.57971875
transcript.pyannote[251].speaker SPEAKER_05
transcript.pyannote[251].start 806.92596875
transcript.pyannote[251].end 807.68534375
transcript.pyannote[252].speaker SPEAKER_05
transcript.pyannote[252].start 808.36034375
transcript.pyannote[252].end 809.82846875
transcript.pyannote[253].speaker SPEAKER_05
transcript.pyannote[253].start 811.38096875
transcript.pyannote[253].end 814.45221875
transcript.pyannote[254].speaker SPEAKER_05
transcript.pyannote[254].start 814.65471875
transcript.pyannote[254].end 820.07159375
transcript.pyannote[255].speaker SPEAKER_05
transcript.pyannote[255].start 820.39221875
transcript.pyannote[255].end 822.02909375
transcript.pyannote[256].speaker SPEAKER_02
transcript.pyannote[256].start 822.02909375
transcript.pyannote[256].end 822.46784375
transcript.pyannote[257].speaker SPEAKER_05
transcript.pyannote[257].start 823.56471875
transcript.pyannote[257].end 823.58159375
transcript.pyannote[258].speaker SPEAKER_02
transcript.pyannote[258].start 823.58159375
transcript.pyannote[258].end 824.84721875
transcript.pyannote[259].speaker SPEAKER_02
transcript.pyannote[259].start 826.70346875
transcript.pyannote[259].end 827.53034375
transcript.pyannote[260].speaker SPEAKER_05
transcript.pyannote[260].start 828.23909375
transcript.pyannote[260].end 828.82971875
transcript.pyannote[261].speaker SPEAKER_02
transcript.pyannote[261].start 828.96471875
transcript.pyannote[261].end 834.02721875
transcript.pyannote[262].speaker SPEAKER_02
transcript.pyannote[262].start 834.16221875
transcript.pyannote[262].end 837.84096875
transcript.pyannote[263].speaker SPEAKER_02
transcript.pyannote[263].start 838.38096875
transcript.pyannote[263].end 842.46471875
transcript.pyannote[264].speaker SPEAKER_02
transcript.pyannote[264].start 843.37596875
transcript.pyannote[264].end 845.16471875
transcript.pyannote[265].speaker SPEAKER_02
transcript.pyannote[265].start 846.53159375
transcript.pyannote[265].end 848.70846875
transcript.pyannote[266].speaker SPEAKER_02
transcript.pyannote[266].start 849.21471875
transcript.pyannote[266].end 850.07534375
transcript.pyannote[267].speaker SPEAKER_02
transcript.pyannote[267].start 850.95284375
transcript.pyannote[267].end 852.92721875
transcript.pyannote[268].speaker SPEAKER_02
transcript.pyannote[268].start 853.68659375
transcript.pyannote[268].end 857.12909375
transcript.pyannote[269].speaker SPEAKER_05
transcript.pyannote[269].start 858.41159375
transcript.pyannote[269].end 859.82909375
transcript.pyannote[270].speaker SPEAKER_02
transcript.pyannote[270].start 859.82909375
transcript.pyannote[270].end 865.95471875
transcript.pyannote[271].speaker SPEAKER_02
transcript.pyannote[271].start 867.05159375
transcript.pyannote[271].end 869.46471875
transcript.pyannote[272].speaker SPEAKER_02
transcript.pyannote[272].start 871.00034375
transcript.pyannote[272].end 872.82284375
transcript.pyannote[273].speaker SPEAKER_02
transcript.pyannote[273].start 873.48096875
transcript.pyannote[273].end 874.02096875
transcript.pyannote[274].speaker SPEAKER_02
transcript.pyannote[274].start 874.79721875
transcript.pyannote[274].end 875.80971875
transcript.pyannote[275].speaker SPEAKER_02
transcript.pyannote[275].start 876.94034375
transcript.pyannote[275].end 878.05409375
transcript.pyannote[276].speaker SPEAKER_02
transcript.pyannote[276].start 878.84721875
transcript.pyannote[276].end 880.02846875
transcript.pyannote[277].speaker SPEAKER_02
transcript.pyannote[277].start 880.66971875
transcript.pyannote[277].end 882.08721875
transcript.pyannote[278].speaker SPEAKER_02
transcript.pyannote[278].start 883.31909375
transcript.pyannote[278].end 884.63534375
transcript.pyannote[279].speaker SPEAKER_02
transcript.pyannote[279].start 885.29346875
transcript.pyannote[279].end 891.08159375
transcript.pyannote[280].speaker SPEAKER_02
transcript.pyannote[280].start 891.38534375
transcript.pyannote[280].end 893.59596875
transcript.pyannote[281].speaker SPEAKER_02
transcript.pyannote[281].start 895.18221875
transcript.pyannote[281].end 896.36346875
transcript.pyannote[282].speaker SPEAKER_02
transcript.pyannote[282].start 897.62909375
transcript.pyannote[282].end 899.33346875
transcript.pyannote[283].speaker SPEAKER_02
transcript.pyannote[283].start 902.10096875
transcript.pyannote[283].end 902.92784375
transcript.pyannote[284].speaker SPEAKER_05
transcript.pyannote[284].start 903.34971875
transcript.pyannote[284].end 904.36221875
transcript.pyannote[285].speaker SPEAKER_02
transcript.pyannote[285].start 904.54784375
transcript.pyannote[285].end 905.44221875
transcript.pyannote[286].speaker SPEAKER_02
transcript.pyannote[286].start 906.03284375
transcript.pyannote[286].end 907.55159375
transcript.pyannote[287].speaker SPEAKER_02
transcript.pyannote[287].start 907.92284375
transcript.pyannote[287].end 909.50909375
transcript.pyannote[288].speaker SPEAKER_02
transcript.pyannote[288].start 910.33596875
transcript.pyannote[288].end 912.34409375
transcript.pyannote[289].speaker SPEAKER_02
transcript.pyannote[289].start 912.76596875
transcript.pyannote[289].end 914.33534375
transcript.pyannote[290].speaker SPEAKER_02
transcript.pyannote[290].start 914.80784375
transcript.pyannote[290].end 916.64721875
transcript.pyannote[291].speaker SPEAKER_02
transcript.pyannote[291].start 917.00159375
transcript.pyannote[291].end 917.74409375
transcript.pyannote[292].speaker SPEAKER_02
transcript.pyannote[292].start 918.21659375
transcript.pyannote[292].end 920.71409375
transcript.pyannote[293].speaker SPEAKER_02
transcript.pyannote[293].start 922.53659375
transcript.pyannote[293].end 923.09346875
transcript.pyannote[294].speaker SPEAKER_05
transcript.pyannote[294].start 923.29596875
transcript.pyannote[294].end 924.52784375
transcript.pyannote[295].speaker SPEAKER_02
transcript.pyannote[295].start 924.73034375
transcript.pyannote[295].end 925.37159375
transcript.pyannote[296].speaker SPEAKER_05
transcript.pyannote[296].start 925.64159375
transcript.pyannote[296].end 925.96221875
transcript.pyannote[297].speaker SPEAKER_02
transcript.pyannote[297].start 926.31659375
transcript.pyannote[297].end 927.17721875
transcript.pyannote[298].speaker SPEAKER_02
transcript.pyannote[298].start 927.68346875
transcript.pyannote[298].end 929.38784375
transcript.pyannote[299].speaker SPEAKER_05
transcript.pyannote[299].start 929.38784375
transcript.pyannote[299].end 930.24846875
transcript.pyannote[300].speaker SPEAKER_02
transcript.pyannote[300].start 930.50159375
transcript.pyannote[300].end 933.42096875
transcript.pyannote[301].speaker SPEAKER_02
transcript.pyannote[301].start 934.16346875
transcript.pyannote[301].end 935.73284375
transcript.pyannote[302].speaker SPEAKER_02
transcript.pyannote[302].start 936.22221875
transcript.pyannote[302].end 937.62284375
transcript.pyannote[303].speaker SPEAKER_02
transcript.pyannote[303].start 938.11221875
transcript.pyannote[303].end 939.88409375
transcript.pyannote[304].speaker SPEAKER_02
transcript.pyannote[304].start 940.28909375
transcript.pyannote[304].end 941.47034375
transcript.pyannote[305].speaker SPEAKER_02
transcript.pyannote[305].start 942.07784375
transcript.pyannote[305].end 945.03096875
transcript.pyannote[306].speaker SPEAKER_02
transcript.pyannote[306].start 945.52034375
transcript.pyannote[306].end 959.29034375
transcript.pyannote[307].speaker SPEAKER_02
transcript.pyannote[307].start 959.76284375
transcript.pyannote[307].end 961.50096875
transcript.pyannote[308].speaker SPEAKER_02
transcript.pyannote[308].start 962.34471875
transcript.pyannote[308].end 965.50034375
transcript.pyannote[309].speaker SPEAKER_02
transcript.pyannote[309].start 966.36096875
transcript.pyannote[309].end 967.54221875
transcript.pyannote[310].speaker SPEAKER_02
transcript.pyannote[310].start 968.33534375
transcript.pyannote[310].end 972.43596875
transcript.pyannote[311].speaker SPEAKER_02
transcript.pyannote[311].start 973.19534375
transcript.pyannote[311].end 975.57471875
transcript.pyannote[312].speaker SPEAKER_02
transcript.pyannote[312].start 976.84034375
transcript.pyannote[312].end 977.38034375
transcript.pyannote[313].speaker SPEAKER_05
transcript.pyannote[313].start 977.51534375
transcript.pyannote[313].end 978.89909375
transcript.pyannote[314].speaker SPEAKER_02
transcript.pyannote[314].start 978.98346875
transcript.pyannote[314].end 984.01221875
transcript.pyannote[315].speaker SPEAKER_00
transcript.pyannote[315].start 985.09221875
transcript.pyannote[315].end 986.96534375
transcript.whisperx[0].start 5.015
transcript.whisperx[0].end 11.327
transcript.whisperx[0].text 謝謝主席開始巡大一遷先請教一下主席我們請監察院來
transcript.whisperx[1].start 14.551
transcript.whisperx[1].end 38.152
transcript.whisperx[1].text 大部分的資訊都從媒體知道所以他們現在的狀況到底是怎樣?不來是不是?沒有來,也沒有書面,都沒有其實這個我們都有通知啦我們在事前都有通知監察院但是祕書長不來,也沒有派別人過來,也沒有書面過來我們看到的是,其實這有點在羞辱立法院
transcript.whisperx[2].start 39.264
transcript.whisperx[2].end 66.884
transcript.whisperx[2].text 那個我大概具體建議一下啦看是不是召委我們司法法制委員會發個文請監察院說明一下因為到昨天突然看到李俊逸辭職的消息嘛那他辭職歸他辭職啊那監察院總是還有副秘書長吧那監察院半個人都不派來是什麼意思那監察委員現在是覺得他們自己是太上黃機關嗎
transcript.whisperx[3].start 68.649
transcript.whisperx[3].end 93.185
transcript.whisperx[3].text 他們愛怎麼幹就怎麼幹相關的資訊全體國人關心的全部都是從報章雜誌上面才能夠知道這個事情有蠻離譜的啦我是建議召委看會後的時候要不要透過這樣子的方式來加以處理因為我知道召委也蠻
transcript.whisperx[4].start 94.397
transcript.whisperx[4].end 117.736
transcript.whisperx[4].text 蠻無無奈的嘛上個禮拜好像李俊逸是不是試圖有要跟你請假有 上個星期四早上我有接到電話就是秘書長他有希望請假那我剛剛電話裡面有跟他回覆說我跟其他委員稍微問一下看狀況那因為其他委員表示說他們還是希望秘書長要過來所以我跟他說沒辦法
transcript.whisperx[5].start 118.456
transcript.whisperx[5].end 141.087
transcript.whisperx[5].text 那他有請同仁拿了一份請假的資料過來但是因為我們這邊沒有辦法準價所以我們同仁沒有收後來監察院的聯絡人他們就直接把那一份資料就直接送到立法院的收發室就直接送過去但我覺得司法法制委員會基本的規矩還是要有
transcript.whisperx[6].start 142.604
transcript.whisperx[6].end 160.963
transcript.whisperx[6].text 他要請假,歸他要請假,準不準是召委的權限從召委剛描述的過程顯然上個禮拜四上午的時候李軍營還沒打算要請辭他如果打算要請辭的話,那時候要請什麼假就直接告訴你說我已經辭職了,你要不要叫扶民署長來就好了
transcript.whisperx[7].start 162.119
transcript.whisperx[7].end 186.97
transcript.whisperx[7].text 那黃委員因為這個東西不需要經過決議嘛那我就會後我再請我們同仁就是去含詢一下監察院看監察院那邊的說法是如何好謝謝喔那個是麻煩有請我們法務部的部長麻煩部長廉政署的署長署長內政部警政署警政署
transcript.whisperx[8].start 201.488
transcript.whisperx[8].end 221.293
transcript.whisperx[8].text 三位長時間的關係不宜問候我今天看到法務部跟我們廉政署所提出來的書面報告我老實講我不知道該怎麼形容你們在今天的書面報告裡面大剌剌的寫說你們推動階幣者保護法你們推動什麼階幣者保護法我們立法院完成三讀了
transcript.whisperx[9].start 230.296
transcript.whisperx[9].end 252.708
transcript.whisperx[9].text 行政部門連個草案都沒有送出來你們好意思啊 在書面報告說你們推動階幣者保護法在書面報告寫這種東西法務部也好 廉政署也好寫了自己都不會臉紅喔立法院要審法案了 山炊事情請你們提一個草案出來各種理由推脫
transcript.whisperx[10].start 257.563
transcript.whisperx[10].end 284.371
transcript.whisperx[10].text 結果今天的書面報告好意思寫你們推動階幣者保護法自己看了都不會臉紅喔我看了都覺得幫你們慚愧具體的問題我上一次請教部長跟廉政署跟廉政署檢舉結果吹哨者的身份被洩漏你們說你們要回去查
transcript.whisperx[11].start 285.526
transcript.whisperx[11].end 305.597
transcript.whisperx[11].text 回去查了以後 蘇聯證書沒有做錯你們交給的是警政署 政風室還是督查單位結果這個督查單位在回函的時候結果竟然讓原被檢舉的單位回函給檢舉人這個事實的經過我沒有描述錯誤吧
transcript.whisperx[12].start 309.486
transcript.whisperx[12].end 338.382
transcript.whisperx[12].text 這個事實經過我有沒有描述錯誤報告委員大致上是正確的大致上是正確的來請廉政署署長那請問發生這樣子的事情誰要負責任就代表我們整個公務機關哪裡有保護吹哨者的意識啊大剌剌的叫被檢舉的單位回函給吹哨者啊這個叫保護吹哨者啊是我們相關的同仁教育訓練不足是不是
transcript.whisperx[13].start 339.622
transcript.whisperx[13].end 368.232
transcript.whisperx[13].text 推動了這麼多年推動到現在被檢舉的機關回函給吹哨者這樣處理是對的嗎來 請署長跟委員說明一下這個案件就是民眾檢舉到事實經過我剛講過了啦現在我只問結論啦這樣處理是對的嗎跟委員講我們這個部分還有一些需要我們再加強的我跟委員報告說我們現在針對這個部分的改進的做法先停一下
transcript.whisperx[14].start 369.946
transcript.whisperx[14].end 393.598
transcript.whisperx[14].text 推動吹哨者保護法制報告都很威脅教育訓練顯然出了問題嘛哪裡有保護吹哨者的基本意識我問你一個最基本的問題這樣處理是對的嗎你都不敢正面回覆這樣處理是不是對的曾委員報告沒有不敢回覆基於那個任何檢舉人也不一定是接避者啦包括檢舉人的部分的身份都應該保密
transcript.whisperx[15].start 395.084
transcript.whisperx[15].end 413.575
transcript.whisperx[15].text 現實上就沒有嗎現實上有嗎我們很重視這件事情 對沒有保密的部分我們一定會嚴加去檢討然後去改進要如何檢討跟委員報告在這個事情上之後我們有發現了一個狀況就是說我們在當時的時候發交到政風單位我們都是以密件來處理的
transcript.whisperx[16].start 414.537
transcript.whisperx[16].end 436.272
transcript.whisperx[16].text 那麼到後來因為警政署的工作上比較特殊所以它的那個分工上它是由督察系統去查那後來了解是說在督察系統這邊的環節上有一些問題所以說他們也針對這個部分去做了一個行政的究責那未來的話所以該負責任的是警政署是不是我們這邊也會做一個檢討跟委員報告其實事實上來 請警政署警政署報告
transcript.whisperx[17].start 440.425
transcript.whisperx[17].end 465.839
transcript.whisperx[17].text 這個事情這樣處理是對的嗎這個部分處理上是有一個不夠周延的地方那針對這部分目前追究責任的進度如何相關的人員其實已經給予行政的一個處分怎麼處分的會後給我書面資料可以嗎是可以嗎可以好來接下來請部長之前針對監察院的公務車我第一次當立委的時候我有強力質詢
transcript.whisperx[18].start 467.759
transcript.whisperx[18].end 491.71
transcript.whisperx[18].text 一個監察院才多少人啊正副首長專用車將近30台當時也是立法委員的李俊逸啊就延遲批評過了監察院的公務車使用就是浪費就是浪費嘛結果沒想到啊李俊逸今年年初在開記者會
transcript.whisperx[19].start 494.614
transcript.whisperx[19].end 513.483
transcript.whisperx[19].text 說柴米油鹽樣樣少金恩怨風骨不打折啊全體納稅人看的是瞠目結舌啊所謂的金恩怨風骨不打折啊是我們的秘書長用監察院的公務車載他的愛犬去做美容啊
transcript.whisperx[20].start 515.052
transcript.whisperx[20].end 530.585
transcript.whisperx[20].text 結果爆出來了以後 還不只這樣還不是只有李俊逸這個秘書長結尾搭公務車去看牙醫蘇麗瓊來請教一下法務部部長這種行為構成什麼犯罪那個
transcript.whisperx[21].start 536.102
transcript.whisperx[21].end 557.541
transcript.whisperx[21].text 這部分齁那個秘書長那部分齁那個因為有這個北檢已經分案來了解了齁那另外那個從過去的案例構成什麼犯罪給全國人民科普一下嘛從過去的案例構成什麼犯罪給全國人民科普一下嘛來請部長
transcript.whisperx[22].start 563.292
transcript.whisperx[22].end 580.261
transcript.whisperx[22].text 這個部分那個個案的話還要經過檢查中的了解調查當然嘛他就這個行為太陽構成什麼犯罪因為這個是我對這個個案的這是媒體報導就陳錄委員講的這是不瞭解媒體報導的那這部分不是很清楚那這樣他不是都承認了
transcript.whisperx[23].start 581.381
transcript.whisperx[23].end 607.982
transcript.whisperx[23].text 他承認的對啊 我的確思慮不周啊用購物車災愛犬去做寵物美容啊所以我現在就問你啊 這樣的行為構成什麼犯罪這個在偵查中的 那這部分我不表示表示對偵查中的一些的我們抽象的來講 可以這樣幹嗎可以這樣幹嗎還是你也不方便表示意見遇到綠色的尖尾就軟啪啪你也不方便表示意見 是這樣嗎
transcript.whisperx[24].start 612.369
transcript.whisperx[24].end 640.149
transcript.whisperx[24].text 不回答這部分因為是否涉及犯罪那個檢察會了解沒關係啊部長可能貴人多忘事啊來我提醒你一下除了蘇麗瓊以外還有林玉龍啊接下來還會爆出誰我不知道我看這個個案啊是非常非常的多啊來我帶部長回顧一下過去怎麼處理的前雲林消防局的局長私用公務車遭彈劾
transcript.whisperx[25].start 641.772
transcript.whisperx[25].end 668.591
transcript.whisperx[25].text 那現在大家就在看啊監察院的這些玉石大夫啊會不會彈劾自家人啊大家都在等著看嘛是不是用同一個標準還是只有監察院可以去彈劾其他公務員監委也好 秘書長也好自己愛怎麼幹就怎麼幹後來這個錢雲林消防局的局長有沒有被起訴部長知不知道還是這個個案你也不清楚
transcript.whisperx[26].start 672.093
transcript.whisperx[26].end 697.797
transcript.whisperx[26].text 他有被起訴這個我不清楚我告訴你他有被起訴他還被判刑了他不僅有被起訴他還被判刑了這還不是唯一的個案啊再來看當初我們賴清德總統在當台南市市長的時候他用的民族事務委員會的主委汪志敏那個時候你是不是在南捷
transcript.whisperx[27].start 700.714
transcript.whisperx[27].end 728.649
transcript.whisperx[27].text 那個我不是在 那時候你已經高升法務部了我已經離開台南地檢台南市府民族事務委員會的主委汪志敏違法使用公務車 一樣起訴 一樣判刑現在全體國人都在等著看啊看我們的法務部我們的檢察官執法的標準是不是一樣
transcript.whisperx[28].start 730.407
transcript.whisperx[28].end 744.338
transcript.whisperx[28].text 還是看到綠色的尖尾每一個都軟趴趴不敢表示意見連是違法的都不敢講大家整個看啊看要怎麼偵辦要怎麼處理北檢搜索監察院有沒有任何法規上的障礙
transcript.whisperx[29].start 756.516
transcript.whisperx[29].end 778.006
transcript.whisperx[29].text 我講的是法規上的障礙 有任何法規上的障礙嗎如果要去搜索國防軍事處所 要得到國防軍事處所長官的同意嘛搜索監察院 要不要得到監察院院長或副院長的同意那個要不要搜索 那是個案來做一個 是嘛所以我就問你法規上的問題啊 有法規上的障礙嗎
transcript.whisperx[30].start 779.306
transcript.whisperx[30].end 797.482
transcript.whisperx[30].text 刑事訴訟法的規定不熟嗎還是不敢回答可不可以說說就按照法律的規定來做當然是按照法律的規定嘛怎麼問你法律的規定都不敢回答來我請教一下法務部部長坐座車出去要不要寫派車單
transcript.whisperx[31].start 799.901
transcript.whisperx[31].end 807.622
transcript.whisperx[31].text 這部分司機會處理什麼叫司機會處理這個駕駛會去處理這個派車單處理說今天法務在法務部長去哪裡嗎這個會我們會有派車單還是沒有派車單這是事實問題嘛這個會這個派車單會去核銷油料的這部分會寫這個派車所以司機會寫派車單是嗎法務部部長的部分會還是不會
transcript.whisperx[32].start 829.595
transcript.whisperx[32].end 856.738
transcript.whisperx[32].text 應該會 應該會嘛有就有 沒有就沒有 怎麼你自己是法務部部長 自己都不熟因為要不要派他這書信的事情 好沒有關係啊法務部部長可以在上班時間去喬他自己好朋友的訴訟嗎我之前問過你這個問題啊你說絕對不會發生這樣的事嘛你確定嗎你確定不會發生這樣的事嗎如果有發生這樣的事情的話要不要就責 來請教部長
transcript.whisperx[33].start 858.739
transcript.whisperx[33].end 881.909
transcript.whisperx[33].text 這個就依法律來處理依法律來處理嘛好我希望就依法律來處理啊所以我今天質詢的時候我公開檢舉啊前法務部部長蔡清祥2021年9月17號禮拜五上班時間搭著公務車陪他的好朋友去找聯合再生的
transcript.whisperx[34].start 883.659
transcript.whisperx[34].end 909.211
transcript.whisperx[34].text 喬斯人的訴訟法務部部長上班時間可以幹這種事嗎你之前是跟我講絕對不會有這樣的事嘛那現在我檢舉有這樣子的事情啊法務部要不要調查還是他卸任了沒有關係要不要調查我們再來瞭解再來瞭解我今天公開檢舉啊請法務部回去
transcript.whisperx[35].start 910.973
transcript.whisperx[35].end 925.844
transcript.whisperx[35].text 2021年9月17號部長的請假紀錄跟公務車的派車單會後送司法法制委員會有沒有問題可以嗎我們來處理可以嗎可以
transcript.whisperx[36].start 926.4
transcript.whisperx[36].end 944.546
transcript.whisperx[36].text 需要多久下班以前送來可以嗎這樣還要拖兩個禮拜給你一個禮拜夠久了啦給你一個禮拜夠久了啦我今天公開檢舉喔法務部部長在這邊承諾說要回去了解我希望不是雷聲大雨點小第二個
transcript.whisperx[37].start 945.626
transcript.whisperx[37].end 972.201
transcript.whisperx[37].text 有沒有這個事情這是客觀存在的歷史事實啊我今天公開檢舉啊蔡清祥當初有沒有請假是不是搭公務車去的可以在上班時間去敲打好朋友的訴訟喔官真敗壞至此啊我當初要質詢這件事情的時候蔡清祥下台了下台歸下台啊就跟呂靜玉一樣該追究的法律責任啊一樣要追究
transcript.whisperx[38].start 973.274
transcript.whisperx[38].end 983.562
transcript.whisperx[38].text 部長 查前部長會不會有壓力會不會就依法來處理就依法來處理啊 好啊 我們拭目以待啊看你如何依法來處理啊好 謝謝好 謝謝黃委員