iVOD / 159056

Field Value
IVOD_ID 159056
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/159056
日期 2025-03-13
會議資料.會議代碼 委員會-11-3-36-2
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2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 2
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2次全體委員會議
影片種類 Clip
開始時間 2025-03-13T09:34:44+08:00
結束時間 2025-03-13T09:51:39+08:00
影片長度 00:16:55
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3b972b8f6f00770f998e499dd1e250e8fc7dc3b86466824cbbf0a69acbcd9c1c0b1eef77ac16b5045ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃國昌
委員發言時間 09:34:44 - 09:51:39
會議時間 2025-03-13T09:00:00+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2次全體委員會議(事由:邀請法務部部長率所屬單位主管列席報告業務概況及立法計畫,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 7.38846875
transcript.pyannote[0].end 9.81846875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 10.74659375
transcript.pyannote[1].end 14.89784375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 15.64034375
transcript.pyannote[2].end 16.60221875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 17.20971875
transcript.pyannote[3].end 18.86346875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 19.33596875
transcript.pyannote[4].end 20.29784375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 21.07409375
transcript.pyannote[5].end 24.68534375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 25.34346875
transcript.pyannote[6].end 29.14034375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 29.68034375
transcript.pyannote[7].end 33.17346875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 33.66284375
transcript.pyannote[8].end 39.58596875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 40.76721875
transcript.pyannote[9].end 43.70346875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 44.37846875
transcript.pyannote[10].end 45.61034375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 46.87596875
transcript.pyannote[11].end 48.15846875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 48.73221875
transcript.pyannote[12].end 50.01471875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 50.67284375
transcript.pyannote[13].end 52.66409375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 54.25034375
transcript.pyannote[14].end 56.96721875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 56.96721875
transcript.pyannote[15].end 57.82784375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 58.43534375
transcript.pyannote[16].end 60.17346875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 60.79784375
transcript.pyannote[17].end 62.24909375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 63.34596875
transcript.pyannote[18].end 66.77159375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 67.37909375
transcript.pyannote[19].end 70.07909375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 72.25596875
transcript.pyannote[20].end 73.74096875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 74.38221875
transcript.pyannote[21].end 78.80346875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 78.29721875
transcript.pyannote[22].end 78.65159375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 78.80346875
transcript.pyannote[23].end 85.58721875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 85.77284375
transcript.pyannote[24].end 88.28721875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 88.72596875
transcript.pyannote[25].end 93.99096875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 94.71659375
transcript.pyannote[26].end 96.94409375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 97.39971875
transcript.pyannote[27].end 98.96909375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 99.18846875
transcript.pyannote[28].end 100.04909375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 100.36971875
transcript.pyannote[29].end 101.66909375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 101.90534375
transcript.pyannote[30].end 105.01034375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 105.41534375
transcript.pyannote[31].end 106.78221875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 107.35596875
transcript.pyannote[32].end 108.85784375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 109.12784375
transcript.pyannote[33].end 113.80221875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 114.32534375
transcript.pyannote[34].end 119.82659375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 119.79284375
transcript.pyannote[35].end 122.98221875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 123.20159375
transcript.pyannote[36].end 126.10409375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 126.66096875
transcript.pyannote[37].end 137.69721875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 138.42284375
transcript.pyannote[38].end 139.50284375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 143.41784375
transcript.pyannote[39].end 144.31221875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 144.46409375
transcript.pyannote[40].end 147.45096875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 147.65346875
transcript.pyannote[41].end 151.97346875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 151.97346875
transcript.pyannote[42].end 168.66284375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 170.16471875
transcript.pyannote[43].end 174.97409375
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 176.50971875
transcript.pyannote[44].end 178.06221875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 178.06221875
transcript.pyannote[45].end 196.27034375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 200.21909375
transcript.pyannote[46].end 201.48471875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 201.94034375
transcript.pyannote[47].end 203.39159375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 203.71221875
transcript.pyannote[48].end 208.30221875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 209.43284375
transcript.pyannote[49].end 211.60971875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 212.06534375
transcript.pyannote[50].end 214.91721875
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 217.95471875
transcript.pyannote[51].end 227.57346875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 219.49034375
transcript.pyannote[52].end 220.65471875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 227.57346875
transcript.pyannote[53].end 228.48471875
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 228.48471875
transcript.pyannote[54].end 228.83909375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 228.83909375
transcript.pyannote[55].end 229.02471875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 229.32846875
transcript.pyannote[56].end 231.35346875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 231.72471875
transcript.pyannote[57].end 236.80409375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 237.34409375
transcript.pyannote[58].end 238.37346875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 239.55471875
transcript.pyannote[59].end 241.22534375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 241.32659375
transcript.pyannote[60].end 242.99721875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 243.85784375
transcript.pyannote[61].end 244.88721875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 245.68034375
transcript.pyannote[62].end 251.36721875
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 255.41721875
transcript.pyannote[63].end 256.61534375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 257.64471875
transcript.pyannote[64].end 257.67846875
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 257.67846875
transcript.pyannote[65].end 257.69534375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 257.69534375
transcript.pyannote[66].end 257.71221875
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 257.71221875
transcript.pyannote[67].end 258.97784375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 258.97784375
transcript.pyannote[68].end 259.45034375
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 259.45034375
transcript.pyannote[69].end 266.87534375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 259.85534375
transcript.pyannote[70].end 261.61034375
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 267.21284375
transcript.pyannote[71].end 267.97221875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 267.97221875
transcript.pyannote[72].end 268.32659375
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 268.91721875
transcript.pyannote[73].end 268.93409375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 268.93409375
transcript.pyannote[74].end 282.58596875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 282.95721875
transcript.pyannote[75].end 294.73596875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 295.34346875
transcript.pyannote[76].end 296.84534375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 297.19971875
transcript.pyannote[77].end 298.85346875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 300.37221875
transcript.pyannote[78].end 305.55284375
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 300.50721875
transcript.pyannote[79].end 300.77721875
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 303.56159375
transcript.pyannote[80].end 305.97471875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 305.85659375
transcript.pyannote[81].end 309.33284375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 310.93596875
transcript.pyannote[82].end 323.49096875
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 321.90471875
transcript.pyannote[83].end 322.07346875
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 323.62596875
transcript.pyannote[84].end 324.97596875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 324.36846875
transcript.pyannote[85].end 327.03471875
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 327.03471875
transcript.pyannote[86].end 333.41346875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 329.73471875
transcript.pyannote[87].end 330.56159375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 330.78096875
transcript.pyannote[88].end 333.02534375
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 333.66659375
transcript.pyannote[89].end 335.42159375
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 336.07971875
transcript.pyannote[90].end 341.96909375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 339.38721875
transcript.pyannote[91].end 339.62346875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 339.65721875
transcript.pyannote[92].end 339.75846875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 340.61909375
transcript.pyannote[93].end 342.22221875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 342.72846875
transcript.pyannote[94].end 343.99409375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 344.44971875
transcript.pyannote[95].end 345.15846875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 345.29346875
transcript.pyannote[96].end 347.13284375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 350.33909375
transcript.pyannote[97].end 353.98409375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 354.42284375
transcript.pyannote[98].end 356.54909375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 356.80221875
transcript.pyannote[99].end 358.47284375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 358.60784375
transcript.pyannote[100].end 360.09284375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 360.68346875
transcript.pyannote[101].end 376.93409375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 377.54159375
transcript.pyannote[102].end 379.06034375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 379.26284375
transcript.pyannote[103].end 381.03471875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 382.58721875
transcript.pyannote[104].end 383.44784375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 384.22409375
transcript.pyannote[105].end 385.57409375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 385.91159375
transcript.pyannote[106].end 387.32909375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 387.75096875
transcript.pyannote[107].end 390.53534375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 391.14284375
transcript.pyannote[108].end 393.64034375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 393.99471875
transcript.pyannote[109].end 395.02409375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 395.51346875
transcript.pyannote[110].end 398.66909375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 399.79971875
transcript.pyannote[111].end 401.25096875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 401.85846875
transcript.pyannote[112].end 408.52409375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 408.84471875
transcript.pyannote[113].end 410.51534375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 410.93721875
transcript.pyannote[114].end 411.93284375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 412.16909375
transcript.pyannote[115].end 413.55284375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 414.14346875
transcript.pyannote[116].end 414.66659375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 415.39221875
transcript.pyannote[117].end 416.38784375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 416.87721875
transcript.pyannote[118].end 424.47096875
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 426.24284375
transcript.pyannote[119].end 426.64784375
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 427.20471875
transcript.pyannote[120].end 427.67721875
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 428.40284375
transcript.pyannote[121].end 430.83284375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 430.83284375
transcript.pyannote[122].end 431.25471875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 431.69346875
transcript.pyannote[123].end 432.92534375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 432.97596875
transcript.pyannote[124].end 433.02659375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 433.06034375
transcript.pyannote[125].end 435.47346875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 436.06409375
transcript.pyannote[126].end 438.05534375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 438.54471875
transcript.pyannote[127].end 442.59471875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 442.96596875
transcript.pyannote[128].end 453.04034375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 454.10346875
transcript.pyannote[129].end 454.30596875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 454.30596875
transcript.pyannote[130].end 461.32596875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 461.86596875
transcript.pyannote[131].end 463.53659375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 464.36346875
transcript.pyannote[132].end 466.74284375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 467.48534375
transcript.pyannote[133].end 468.21096875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 468.70034375
transcript.pyannote[134].end 470.15159375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 470.80971875
transcript.pyannote[135].end 472.04159375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 472.26096875
transcript.pyannote[136].end 473.76284375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 474.08346875
transcript.pyannote[137].end 478.23471875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 478.77471875
transcript.pyannote[138].end 480.52971875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 482.45346875
transcript.pyannote[139].end 484.03971875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 484.81596875
transcript.pyannote[140].end 486.45284375
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 486.94221875
transcript.pyannote[141].end 488.66346875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 489.13596875
transcript.pyannote[142].end 491.46471875
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 491.71784375
transcript.pyannote[143].end 492.62909375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 493.87784375
transcript.pyannote[144].end 494.33346875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 494.75534375
transcript.pyannote[145].end 495.76784375
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 496.15596875
transcript.pyannote[146].end 498.48471875
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 499.34534375
transcript.pyannote[147].end 499.71659375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 500.62784375
transcript.pyannote[148].end 507.86721875
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 508.55909375
transcript.pyannote[149].end 509.52096875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 509.52096875
transcript.pyannote[150].end 510.85409375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 511.19159375
transcript.pyannote[151].end 511.24221875
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 511.24221875
transcript.pyannote[152].end 516.03471875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 514.76909375
transcript.pyannote[153].end 515.71409375
transcript.pyannote[154].speaker SPEAKER_03
transcript.pyannote[154].start 516.79409375
transcript.pyannote[154].end 517.58721875
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 518.05971875
transcript.pyannote[155].end 518.07659375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 518.07659375
transcript.pyannote[156].end 518.90346875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 519.37596875
transcript.pyannote[157].end 521.40096875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 521.63721875
transcript.pyannote[158].end 522.43034375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 523.54409375
transcript.pyannote[159].end 524.38784375
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 525.09659375
transcript.pyannote[160].end 527.20596875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 527.88096875
transcript.pyannote[161].end 537.58409375
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 538.36034375
transcript.pyannote[162].end 539.42346875
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 540.55409375
transcript.pyannote[163].end 542.08971875
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 542.84909375
transcript.pyannote[164].end 545.92034375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 546.46034375
transcript.pyannote[165].end 547.10159375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 547.70909375
transcript.pyannote[166].end 548.50221875
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 549.02534375
transcript.pyannote[167].end 551.16846875
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 551.48909375
transcript.pyannote[168].end 552.61971875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 553.27784375
transcript.pyannote[169].end 554.77971875
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 556.14659375
transcript.pyannote[170].end 558.84659375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 561.07409375
transcript.pyannote[171].end 561.76596875
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 562.18784375
transcript.pyannote[172].end 564.36471875
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 565.00596875
transcript.pyannote[173].end 567.08159375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 567.62159375
transcript.pyannote[174].end 578.18534375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 578.37096875
transcript.pyannote[175].end 580.31159375
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 580.53096875
transcript.pyannote[176].end 581.89784375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 582.84284375
transcript.pyannote[177].end 584.53034375
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 584.68221875
transcript.pyannote[178].end 588.04034375
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 588.69846875
transcript.pyannote[179].end 592.64721875
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 593.28846875
transcript.pyannote[180].end 600.29159375
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 600.83159375
transcript.pyannote[181].end 601.72596875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 602.40096875
transcript.pyannote[182].end 605.65784375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 606.06284375
transcript.pyannote[183].end 616.50846875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 616.72784375
transcript.pyannote[184].end 621.31784375
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 621.57096875
transcript.pyannote[185].end 622.61721875
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 623.02221875
transcript.pyannote[186].end 623.98409375
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 625.87409375
transcript.pyannote[187].end 631.13909375
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 631.74659375
transcript.pyannote[188].end 636.08346875
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 636.40409375
transcript.pyannote[189].end 637.63596875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 639.23909375
transcript.pyannote[190].end 640.65659375
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 641.58471875
transcript.pyannote[191].end 643.86284375
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 643.96409375
transcript.pyannote[192].end 644.06534375
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 644.31846875
transcript.pyannote[193].end 649.06034375
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 650.15721875
transcript.pyannote[194].end 651.43971875
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 651.82784375
transcript.pyannote[195].end 654.12284375
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 656.72159375
transcript.pyannote[196].end 657.98721875
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 658.94909375
transcript.pyannote[197].end 661.68284375
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 662.17221875
transcript.pyannote[198].end 664.18034375
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 664.41659375
transcript.pyannote[199].end 665.69909375
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 666.27284375
transcript.pyannote[200].end 667.58909375
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 668.58471875
transcript.pyannote[201].end 670.10346875
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 670.60971875
transcript.pyannote[202].end 671.06534375
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 671.92596875
transcript.pyannote[203].end 673.41096875
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 674.10284375
transcript.pyannote[204].end 680.58284375
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 681.07221875
transcript.pyannote[205].end 683.14784375
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 683.72159375
transcript.pyannote[206].end 684.17721875
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 684.32909375
transcript.pyannote[207].end 686.60721875
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 687.01221875
transcript.pyannote[208].end 689.84721875
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 690.69096875
transcript.pyannote[209].end 693.03659375
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 693.15471875
transcript.pyannote[210].end 694.69034375
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 695.07846875
transcript.pyannote[211].end 697.05284375
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 697.82909375
transcript.pyannote[212].end 699.31409375
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 699.80346875
transcript.pyannote[213].end 700.84971875
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 701.52471875
transcript.pyannote[214].end 707.53221875
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 708.07221875
transcript.pyannote[215].end 709.60784375
transcript.pyannote[216].speaker SPEAKER_02
transcript.pyannote[216].start 710.90721875
transcript.pyannote[216].end 715.19346875
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 715.39596875
transcript.pyannote[217].end 720.74534375
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 721.38659375
transcript.pyannote[218].end 728.74409375
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 729.23346875
transcript.pyannote[219].end 730.29659375
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 730.80284375
transcript.pyannote[220].end 734.95409375
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 735.52784375
transcript.pyannote[221].end 737.24909375
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 738.05909375
transcript.pyannote[222].end 739.42596875
transcript.pyannote[223].speaker SPEAKER_02
transcript.pyannote[223].start 740.11784375
transcript.pyannote[223].end 741.06284375
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 741.83909375
transcript.pyannote[224].end 743.44221875
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 744.13409375
transcript.pyannote[225].end 746.05784375
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 746.66534375
transcript.pyannote[226].end 751.01909375
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 751.50846875
transcript.pyannote[227].end 755.03534375
transcript.pyannote[228].speaker SPEAKER_02
transcript.pyannote[228].start 755.30534375
transcript.pyannote[228].end 757.12784375
transcript.pyannote[229].speaker SPEAKER_02
transcript.pyannote[229].start 758.02221875
transcript.pyannote[229].end 758.66346875
transcript.pyannote[230].speaker SPEAKER_02
transcript.pyannote[230].start 759.01784375
transcript.pyannote[230].end 759.03471875
transcript.pyannote[231].speaker SPEAKER_03
transcript.pyannote[231].start 759.03471875
transcript.pyannote[231].end 760.03034375
transcript.pyannote[232].speaker SPEAKER_03
transcript.pyannote[232].start 761.11034375
transcript.pyannote[232].end 761.90346875
transcript.pyannote[233].speaker SPEAKER_03
transcript.pyannote[233].start 762.22409375
transcript.pyannote[233].end 766.96596875
transcript.pyannote[234].speaker SPEAKER_03
transcript.pyannote[234].start 767.28659375
transcript.pyannote[234].end 770.61096875
transcript.pyannote[235].speaker SPEAKER_03
transcript.pyannote[235].start 771.77534375
transcript.pyannote[235].end 781.86659375
transcript.pyannote[236].speaker SPEAKER_02
transcript.pyannote[236].start 779.63909375
transcript.pyannote[236].end 780.88784375
transcript.pyannote[237].speaker SPEAKER_03
transcript.pyannote[237].start 782.45721875
transcript.pyannote[237].end 785.03909375
transcript.pyannote[238].speaker SPEAKER_02
transcript.pyannote[238].start 782.49096875
transcript.pyannote[238].end 782.82846875
transcript.pyannote[239].speaker SPEAKER_02
transcript.pyannote[239].start 783.87471875
transcript.pyannote[239].end 784.88721875
transcript.pyannote[240].speaker SPEAKER_02
transcript.pyannote[240].start 785.03909375
transcript.pyannote[240].end 785.41034375
transcript.pyannote[241].speaker SPEAKER_03
transcript.pyannote[241].start 785.41034375
transcript.pyannote[241].end 788.17784375
transcript.pyannote[242].speaker SPEAKER_02
transcript.pyannote[242].start 785.42721875
transcript.pyannote[242].end 790.59096875
transcript.pyannote[243].speaker SPEAKER_03
transcript.pyannote[243].start 790.75971875
transcript.pyannote[243].end 794.11784375
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 793.52721875
transcript.pyannote[244].end 799.33221875
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 799.63596875
transcript.pyannote[245].end 802.77471875
transcript.pyannote[246].speaker SPEAKER_02
transcript.pyannote[246].start 803.28096875
transcript.pyannote[246].end 805.10346875
transcript.pyannote[247].speaker SPEAKER_02
transcript.pyannote[247].start 806.43659375
transcript.pyannote[247].end 806.75721875
transcript.pyannote[248].speaker SPEAKER_02
transcript.pyannote[248].start 808.24221875
transcript.pyannote[248].end 819.66659375
transcript.pyannote[249].speaker SPEAKER_03
transcript.pyannote[249].start 808.27596875
transcript.pyannote[249].end 809.60909375
transcript.pyannote[250].speaker SPEAKER_03
transcript.pyannote[250].start 809.87909375
transcript.pyannote[250].end 810.85784375
transcript.pyannote[251].speaker SPEAKER_02
transcript.pyannote[251].start 820.62846875
transcript.pyannote[251].end 823.26096875
transcript.pyannote[252].speaker SPEAKER_02
transcript.pyannote[252].start 823.48034375
transcript.pyannote[252].end 825.58971875
transcript.pyannote[253].speaker SPEAKER_02
transcript.pyannote[253].start 825.97784375
transcript.pyannote[253].end 840.45659375
transcript.pyannote[254].speaker SPEAKER_00
transcript.pyannote[254].start 832.13721875
transcript.pyannote[254].end 834.93846875
transcript.pyannote[255].speaker SPEAKER_02
transcript.pyannote[255].start 840.77721875
transcript.pyannote[255].end 842.95409375
transcript.pyannote[256].speaker SPEAKER_02
transcript.pyannote[256].start 844.18596875
transcript.pyannote[256].end 854.68221875
transcript.pyannote[257].speaker SPEAKER_02
transcript.pyannote[257].start 855.37409375
transcript.pyannote[257].end 861.06096875
transcript.pyannote[258].speaker SPEAKER_02
transcript.pyannote[258].start 861.51659375
transcript.pyannote[258].end 864.14909375
transcript.pyannote[259].speaker SPEAKER_02
transcript.pyannote[259].start 864.92534375
transcript.pyannote[259].end 866.52846875
transcript.pyannote[260].speaker SPEAKER_02
transcript.pyannote[260].start 866.86596875
transcript.pyannote[260].end 868.45221875
transcript.pyannote[261].speaker SPEAKER_02
transcript.pyannote[261].start 868.48596875
transcript.pyannote[261].end 872.99159375
transcript.pyannote[262].speaker SPEAKER_02
transcript.pyannote[262].start 873.41346875
transcript.pyannote[262].end 880.31534375
transcript.pyannote[263].speaker SPEAKER_02
transcript.pyannote[263].start 880.39971875
transcript.pyannote[263].end 882.64409375
transcript.pyannote[264].speaker SPEAKER_02
transcript.pyannote[264].start 882.99846875
transcript.pyannote[264].end 883.70721875
transcript.pyannote[265].speaker SPEAKER_02
transcript.pyannote[265].start 883.89284375
transcript.pyannote[265].end 894.52409375
transcript.pyannote[266].speaker SPEAKER_02
transcript.pyannote[266].start 895.13159375
transcript.pyannote[266].end 900.93659375
transcript.pyannote[267].speaker SPEAKER_02
transcript.pyannote[267].start 901.47659375
transcript.pyannote[267].end 902.35409375
transcript.pyannote[268].speaker SPEAKER_02
transcript.pyannote[268].start 902.96159375
transcript.pyannote[268].end 912.66471875
transcript.pyannote[269].speaker SPEAKER_02
transcript.pyannote[269].start 913.23846875
transcript.pyannote[269].end 913.81221875
transcript.pyannote[270].speaker SPEAKER_02
transcript.pyannote[270].start 915.73596875
transcript.pyannote[270].end 919.41471875
transcript.pyannote[271].speaker SPEAKER_02
transcript.pyannote[271].start 919.95471875
transcript.pyannote[271].end 924.62909375
transcript.pyannote[272].speaker SPEAKER_02
transcript.pyannote[272].start 925.15221875
transcript.pyannote[272].end 931.61534375
transcript.pyannote[273].speaker SPEAKER_02
transcript.pyannote[273].start 931.96971875
transcript.pyannote[273].end 933.70784375
transcript.pyannote[274].speaker SPEAKER_02
transcript.pyannote[274].start 934.23096875
transcript.pyannote[274].end 936.07034375
transcript.pyannote[275].speaker SPEAKER_02
transcript.pyannote[275].start 936.61034375
transcript.pyannote[275].end 938.95596875
transcript.pyannote[276].speaker SPEAKER_02
transcript.pyannote[276].start 939.15846875
transcript.pyannote[276].end 940.50846875
transcript.pyannote[277].speaker SPEAKER_02
transcript.pyannote[277].start 940.76159375
transcript.pyannote[277].end 949.57034375
transcript.pyannote[278].speaker SPEAKER_02
transcript.pyannote[278].start 950.09346875
transcript.pyannote[278].end 952.72596875
transcript.pyannote[279].speaker SPEAKER_02
transcript.pyannote[279].start 952.77659375
transcript.pyannote[279].end 954.61596875
transcript.pyannote[280].speaker SPEAKER_03
transcript.pyannote[280].start 955.03784375
transcript.pyannote[280].end 959.96534375
transcript.pyannote[281].speaker SPEAKER_02
transcript.pyannote[281].start 957.33284375
transcript.pyannote[281].end 961.36596875
transcript.pyannote[282].speaker SPEAKER_02
transcript.pyannote[282].start 961.83846875
transcript.pyannote[282].end 963.44159375
transcript.pyannote[283].speaker SPEAKER_02
transcript.pyannote[283].start 963.69471875
transcript.pyannote[283].end 967.79534375
transcript.pyannote[284].speaker SPEAKER_02
transcript.pyannote[284].start 968.48721875
transcript.pyannote[284].end 978.20721875
transcript.pyannote[285].speaker SPEAKER_02
transcript.pyannote[285].start 978.78096875
transcript.pyannote[285].end 980.55284375
transcript.pyannote[286].speaker SPEAKER_02
transcript.pyannote[286].start 980.80596875
transcript.pyannote[286].end 983.65784375
transcript.pyannote[287].speaker SPEAKER_02
transcript.pyannote[287].start 984.04596875
transcript.pyannote[287].end 989.07471875
transcript.pyannote[288].speaker SPEAKER_02
transcript.pyannote[288].start 989.41221875
transcript.pyannote[288].end 990.72846875
transcript.pyannote[289].speaker SPEAKER_02
transcript.pyannote[289].start 990.88034375
transcript.pyannote[289].end 992.39909375
transcript.pyannote[290].speaker SPEAKER_02
transcript.pyannote[290].start 992.61846875
transcript.pyannote[290].end 993.79971875
transcript.pyannote[291].speaker SPEAKER_02
transcript.pyannote[291].start 994.01909375
transcript.pyannote[291].end 1001.19096875
transcript.pyannote[292].speaker SPEAKER_03
transcript.pyannote[292].start 994.93034375
transcript.pyannote[292].end 1004.78534375
transcript.pyannote[293].speaker SPEAKER_02
transcript.pyannote[293].start 1002.81096875
transcript.pyannote[293].end 1007.92409375
transcript.pyannote[294].speaker SPEAKER_02
transcript.pyannote[294].start 1008.48096875
transcript.pyannote[294].end 1011.04596875
transcript.pyannote[295].speaker SPEAKER_02
transcript.pyannote[295].start 1011.55221875
transcript.pyannote[295].end 1012.21034375
transcript.pyannote[296].speaker SPEAKER_02
transcript.pyannote[296].start 1012.85159375
transcript.pyannote[296].end 1013.32409375
transcript.whisperx[0].start 7.947
transcript.whisperx[0].end 24.164
transcript.whisperx[0].text 謝謝主席其實在開始諮詢以前我有一個事情可能要跟主席說明一下對主席會議程序的主持我都是尊重所以我剛剛靜靜的坐在下面我什麼話也沒講
transcript.whisperx[1].start 25.684
transcript.whisperx[1].end 52.373
transcript.whisperx[1].text 但是我要跟主席抗議啊我為什麼要跟主席抗議啊當我坐在下面靜靜什麼話都沒有講的時候竟然可以有另外一個委員民主進步黨黨團的總召科建民在那邊按麥克風對著我說黃國昌你不要坐在那邊傻笑這是什麼會議秩序這是什麼會議秩序啊我想要請教我先請教我們的主席啊
transcript.whisperx[2].start 54.278
transcript.whisperx[2].end 72.636
transcript.whisperx[2].text 我作為司法法治委員會的委員坐在我的位置上我靜靜什麼話都沒有講你怎麼可以放任另外一個坐在下面的立法委員按著麥克風擠著我的鼻子說我不要坐在下面傻笑這符合會議規範嗎
transcript.whisperx[3].start 74.594
transcript.whisperx[3].end 93.559
transcript.whisperx[3].text 這是我們世法法治委員會應該有的樣子嗎來請教主席可以這樣做嗎黃國昌委員我這邊跟黃國昌委員說聲抱歉我剛剛沒有組織好其實我剛剛已經盡力在組織會議秩序但是有很多人卻把每一次到世法法治委員會都在那邊胡鬧大鬧
transcript.whisperx[4].start 94.739
transcript.whisperx[4].end 122.494
transcript.whisperx[4].text 那剛剛我確實沒有主導會議這部分我自己會反省柯總召下次我再跟他再溝通一次因為我們上個會議已經溝通非常多次可謂別人在講話的時候不要按麥克風插嘴你在底下講一講喊一喊就算你不要按麥克風插嘴也不要去攻擊其他其他沒有發言的委員那這部分黃國昌委員我這邊跟你說聲抱歉不好意思好沒有關係啊那個謝謝主席我知道
transcript.whisperx[5].start 123.314
transcript.whisperx[5].end 137.395
transcript.whisperx[5].text 你也辛苦啦但是有一些事情我覺得嚴正的立場必須要表達所以剛剛在口氣上面如果讓主席有覺得比較壓力比較大的部分也請鍾憲兄不要介意來有請部長麻煩部長
transcript.whisperx[6].start 144.808
transcript.whisperx[6].end 168.36
transcript.whisperx[6].text 部長早其實每個會期法務部的業務報告跟立法計畫是我最重視的事情所以我一定強加拜讀但我看你們今年的業務報告跟立法計畫我看了簡直是瞠目結舌部長這份業務報告跟你上一次來報告的業務報告裡面抄了幾個字你知不知道
transcript.whisperx[7].start 170.239
transcript.whisperx[7].end 195.801
transcript.whisperx[7].text 抄了幾個字一模一樣喔連標點符號都一樣抄了幾個字你知不知道因為我們政策是延續的是政策是延續的所以照抄嘛好沒有關係我們來看看你所謂政策是延續的是什麼意思啊來我請教一下去年2024年第四季從10月到12月我們透過兩岸共黨逮捕回台的通緝犯有幾個人
transcript.whisperx[8].start 200.253
transcript.whisperx[8].end 214.384
transcript.whisperx[8].text 政策是延續的嘛所以過去這三個月過去這半年你的成績單才是這個會期我們要講的事情嘛我簡單的問啦過去六個月透過兩岸共打送回來的通緝犯有幾個人
transcript.whisperx[9].start 217.987
transcript.whisperx[9].end 229.61
transcript.whisperx[9].text 有幾個人自己業務這麼不熟喔這個全部的累計是完成了遣返的512人從什麼時候開始算的從盤古開天開始算啦算到你現在的業務報告有512人啦我關心的是過去六個月回來了幾個人我直接告訴你答案啦ZERO啦第二個
transcript.whisperx[10].start 244.122
transcript.whisperx[10].end 251.15
transcript.whisperx[10].text 過去六個月透過兩岸檢警機制情資交換所破獲的重大刑案有幾個案子情資交換有四件
transcript.whisperx[11].start 257.679
transcript.whisperx[11].end 282.13
transcript.whisperx[11].text 不對不對 兩岸檢警 情師交換共計破獲幾案我們是13 我方是13那個陸方是13來啊 錯錯錯我發給你看啦兩邊的報告一模一樣一抄再抄去年講的是512人通緝犯今年還是512人的通緝犯啊所以我一對就知道過去半年是0人嘛第二個
transcript.whisperx[12].start 283.05
transcript.whisperx[12].end 298.657
transcript.whisperx[12].text 各類重大刑案 去年講的252案今天交出來的是一樣252案逮捕嫌疑犯 去年講的是9642人今天交的也是9624人 一樣啊一模一樣的數字啊這麼簡單的數學這麼簡單的數學我一跪就知道了嘛所以你剛剛在質詢台上面回答的數字是不是錯的
transcript.whisperx[13].start 310.967
transcript.whisperx[13].end 328.832
transcript.whisperx[13].text 我剛剛是按照你的報告喔 照稿念喔問你說 兩岸檢警透過情勢交換共計破獲重大刑案幾件過去半年幾件 剛剛你回答幾件這沒有 這沒有嘛 所以你剛剛回答是錯的嘛沒有 那個是情勢交換 再來 再來 再來你自己回去聽錄音帶啦
transcript.whisperx[14].start 336.158
transcript.whisperx[14].end 346.791
transcript.whisperx[14].text 不要在這邊講錯了還要強辯來看一下台美司法互助台美司法互助過去六個月的成績單是什麼
transcript.whisperx[15].start 350.39
transcript.whisperx[15].end 376.773
transcript.whisperx[15].text 我每一次新的業務報告我關心的是你的成績是什麼嘛過去六個月的成績單是什麼我直接跟部長報告啊我看不到成績單啊因為去年的業務報告報的是111年的事情啊今年的業務報告還報的是111年的事情啊從2024年到2025年的業務報告全部都在拿2022年的事情說嘴
transcript.whisperx[16].start 377.594
transcript.whisperx[16].end 397.79
transcript.whisperx[16].text 只有用抄來抄去啊只有抄來抄去的報告只有用抄的只有講過去的事才能夠掩飾什麼才能夠掩飾現在法務部毫無作為嘛事情就這麼簡單啊從你你具名的喔上面的報告人啊法務部部長鄭明謙啊
transcript.whisperx[17].start 399.861
transcript.whisperx[17].end 424.139
transcript.whisperx[17].text 你的大名在上面啊你署名的報告啊所以我認真的拜讀啊我拜讀完了以後我怎麼感覺似曾相識怎麼跟我去年念的報告長得差不多我一比對之下哇很會抄啊複製貼上就好啦來我繼續問一下在你們2025年的立法計畫裡面有要推吹哨子保護法嗎
transcript.whisperx[18].start 427.286
transcript.whisperx[18].end 452.814
transcript.whisperx[18].text 呃...有嗎?2020吹哨者保護法已經...對啊!去年通過啦!所以我看到你們立法計畫的列表上面有吹哨者保護法我在想你們法務部是抄報告抄到不行人士喔吹哨者保護法去年喔在在野黨合作之下參讀通過了結果法務部2025年的立法計畫還有吹哨者保護法
transcript.whisperx[19].start 454.44
transcript.whisperx[19].end 480.154
transcript.whisperx[19].text 你們法務部啊 把送到司法法治委員會的報告當什麼抄報告 抄到不省人事啊讓人貪圍官職啊部長 以後不要再出現這種錯誤好不好可以嗎 最基本的要求吧立法計畫欸 這麼重要的事欸潔癖者保護法都三途通過了今年立法計畫還有你笑掉人家大牙
transcript.whisperx[20].start 482.503
transcript.whisperx[20].end 507.341
transcript.whisperx[20].text 把社會法制委員會當什麼當反正委員都不用公送來的報告也都不用看我青菜糊糊的都沒關係是這樣嗎來五打七安我們繼續講下去來來來來來我先關心一下法務部啊卓榮泰院長說行政院沒有差點啊法務部有差點嗎
transcript.whisperx[21].start 509.576
transcript.whisperx[21].end 537.21
transcript.whisperx[21].text 你確定沒有差點你回去問清楚啊小事啦小事啦不要裝窮啦沒有差點騙人啦我的習慣我到任何行政機關去考察放在桌上的東西我就是不會動我早就跟他們講不要搞這種訪問路節啊浪費納稅人的錢啊但我直接跟你講重點啊
transcript.whisperx[22].start 538.427
transcript.whisperx[22].end 558.72
transcript.whisperx[22].text 你們說要打詐說要掃除綠能貪腐我看完你的報告以後我看不懂啊來我們先從這個昨天好不容易最高法院三審定讞鍾文智的案子啊非常有名啊非常有名啊在資本市場上面啊詐騙導致一滑鼓的投資人受害
transcript.whisperx[23].start 565.326
transcript.whisperx[23].end 581.403
transcript.whisperx[23].text 結果這種綠營權貴在他整個司法訴訟的個案當中什麼叫干預司法個案這才叫干預司法個案在他司法個案的過程當中民進黨的立委不斷的幫他推修法要幫他除罪話
transcript.whisperx[24].start 582.898
transcript.whisperx[24].end 601.306
transcript.whisperx[24].text 我從過去到現在我回到公民社會到我回到立法院我一直在批判這件事啊我一直在阻擋這件事啊幫這一種金融重犯推動個案修法這才是干預司法可恥的不得了我一直阻擋
transcript.whisperx[25].start 602.486
transcript.whisperx[25].end 623.231
transcript.whisperx[25].text 我一直揭發裡面的弊端我等到昨天終於最高法院上訴駁回判刑確定但拖太久了啦所以最重的罪還竟然讓他用訴審法減刑我看了非常不滿意啊誰幫他拖延司法程序的誰讓他用訴審法減罪的台灣社會啊要討論人民為什麼對司法的公信力這麼低落這才是應該檢討的問題啊但是
transcript.whisperx[26].start 631.789
transcript.whisperx[26].end 653.738
transcript.whisperx[26].text 我要談的事情是什麼?剛剛部長在台上講一句話很有道理有證據就辦真的是有證據就辦嗎?中文字的案子有證據就辦嗎?可能從法務部的立場來講他已經三審定讞了,不然你要怎麼做?事情還沒有結束為什麼我說事情還沒有結束?來看2023年2月
transcript.whisperx[27].start 659.271
transcript.whisperx[27].end 682.639
transcript.whisperx[27].text 這個是在法院的判決裡面講的耶法院的判決裡面講什麼講說中文字他做了什麼事情中文字他做的事情是他是詐騙集團啊他是操縱的主謀啊在法院的判決裡面白紙黑字寫得非常的清楚但法官在判決裡面加一個括號
transcript.whisperx[28].start 684.715
transcript.whisperx[28].end 706.993
transcript.whisperx[28].text 這個案子 新北地檢新北地檢沒有偵辦 沒有起訴我那時候看到法院的判決書啊白紙黑字這樣寫等於是在洗臉檢察官啊你們就是辦人頭不辦主謀那我法院發現了在判決理由裡面寫的喔我法院發現了說 哇 這個主謀我發現他是主謀
transcript.whisperx[29].start 710.953
transcript.whisperx[29].end 733.404
transcript.whisperx[29].text 我在有罪的判決事實裡面認定他是主謀但法官知道不告不理後面寫個括號但沒有起訴我那時候看到這個判決書我非常的驚訝所以呢所以我那個時候回到公民社會我雞婆我基於公義2023年2月告發現在是2025年的3月了這個案子偵辦的進度到哪裡不是有證據就辦嗎
transcript.whisperx[30].start 740.365
transcript.whisperx[30].end 757.014
transcript.whisperx[30].text 還是因為中文字金主啊民進黨的八股很強啊前面的個案幫他拖延幫他推動修法真正的案子新北地檢軟趴趴案子放兩年可以不用辦啊是這樣嗎來 請教
transcript.whisperx[31].start 761.158
transcript.whisperx[31].end 790.225
transcript.whisperx[31].text 的確是新北這個確定判決如果說有這樣那當然檢察官一定會另外會再做一個分案的一個偵辦嘛那我想這個有證據就是就是一切案件的證據是完全靠證據那謝謝委員的這個一個對啊但是大家有看證據嗎有嗎就是案件本來看證據是啊是啊是啊但是法院在判決書裡面把證據都講得非常清楚啦但為什麼到現在都沒有辦
transcript.whisperx[32].start 791.065
transcript.whisperx[32].end 803.93
transcript.whisperx[32].text 這個法院是說他這個有涉嫌的話不不不他判決書裡面白紙黑字講得很清楚這個事情我已經質詢過了我還發文給你們叫你們去問新北檢結果部長你完全狀況外喔蛤你完全狀況外這個叫做有證據就辦來來來一模一樣的事情強力掃蕩妨礙綠能產業犯罪非常的好問題是有強力掃蕩嗎
transcript.whisperx[33].start 820.697
transcript.whisperx[33].end 842.643
transcript.whisperx[33].text 我們再來看一下綠營權貴怎麼不一樣陳啟玉 台研綠能台研綠能搞了半天2017年成立原來2016年陳啟玉知道民進黨政府要推動陳啟玉不是起訴啦起訴啦而且犯罪啦請你把我的問題聽完再回答嘛你急什麼你急什麼聽我把問題問完再回答嘛
transcript.whisperx[34].start 844.886
transcript.whisperx[34].end 862.591
transcript.whisperx[34].text 2017年成立台研綠能說要推動原來2016年人家知道民進黨要推動綠能早就在外面成立白手套公司在收錢應該給台研綠能的錢沒有給台研綠能全部去外面的白手套公司讓民進黨這些權貴大家有錢搬
transcript.whisperx[35].start 865.086
transcript.whisperx[35].end 894.065
transcript.whisperx[35].text 分得油滋滋啊分得油滋滋啊這個事情我什麼時候開始講這個事情我從2023年的時候我就公開的在檢舉這件事情結果檢察官起訴的犯罪事實跟我講的一模一樣跟我講的一模一樣但重點是什麼來時間到我給你看最後這一次啊剛剛你說起訴了很多人啊那個起訴的犯罪事實啊我請部長
transcript.whisperx[36].start 895.246
transcript.whisperx[36].end 913.585
transcript.whisperx[36].text 真的要實質回答那個問題啊就是論事我法律人就是論事啊回去看那個起訴書回去看那個起訴書啊那個起訴的犯罪事實啊原來是我黃國昌2023年啊在我自己YT上面揭露的犯罪事實但是但是
transcript.whisperx[37].start 916.142
transcript.whisperx[37].end 935.397
transcript.whisperx[37].text 經濟部王美花說她移送檢調的犯罪事實2024年台鹽公司說她移送檢調的犯罪事實包括台南七股的包括台南嘉義的她只有起訴一部分其他的部分通通都沒有動這是我們的行政機關喔
transcript.whisperx[38].start 936.698
transcript.whisperx[38].end 953.964
transcript.whisperx[38].text 告訴立法院說我早就移送結果移送了他們移送的犯罪事實我後來去鎖之我全部都看到了跟檢察官起訴的犯罪事實是人家起訴人家移送了這麼多結果檢察官起訴的犯罪事實這麼小這個叫做強力打擊率
transcript.whisperx[39].start 955.08
transcript.whisperx[39].end 977.457
transcript.whisperx[39].text 那個其他的相關的一個犯罪 另外一層辦嘛 對不對對對對這果然是強力掃蕩綠能最安全的辦一辦其他大的部分千萬不要辦 因為辦了什麼動搖國本啊除了陳其玉以外 會掃到哪些人都不知道這個叫強力打擊綠能啊今天 你法務部部長敢在上面寫強力打擊綠能
transcript.whisperx[40].start 978.854
transcript.whisperx[40].end 1007.716
transcript.whisperx[40].text 那我就直接挑戰你們這個叫強力打擊綠能還是我們現在的司法檢調遇到綠營的權貴就轉彎了全體人民心裡會有一把尺我再說一次我今天在這邊講我們那個檢察官辦的就是不分黨派我今天在這邊講的對不對你回去看你回去看檢察官的起訴書再去看當初是怎麼移送的
transcript.whisperx[41].start 1008.748
transcript.whisperx[41].end 1012.142
transcript.whisperx[41].text 馬上就知道原來我在這邊講的都是真的謝謝