iVOD / 168904

Field Value
IVOD_ID 168904
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168904
日期 2026-04-29
會議資料.會議代碼 委員會-11-5-36-9
會議資料.會議代碼:str 第11屆第5會期司法及法制委員會第9次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 9
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5會期司法及法制委員會第9次全體委員會議
影片種類 Clip
開始時間 2026-04-29T10:02:52+08:00
結束時間 2026-04-29T10:15:07+08:00
影片長度 00:12:15
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6301273cb2dfee84ddcb2f3de9225f96decd4e8d00950159e50068aa1546278662af07d6823bbab05ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 羅智強
委員發言時間 10:02:52 - 10:15:07
會議時間 2026-04-29T09:00:00+08:00
會議名稱 立法院第11屆第5會期司法及法制委員會第9次全體委員會議(事由:審查115年度中央政府總預算案關於監察院主管(不含審計部及所屬)收支部分。 【僅進行詢答;預算提案於5月6日下午2時截止收件】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 7.87784375
transcript.pyannote[0].end 9.71721875
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 10.81409375
transcript.pyannote[1].end 11.94471875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 15.16784375
transcript.pyannote[2].end 15.77534375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 16.41659375
transcript.pyannote[3].end 17.78346875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 18.01971875
transcript.pyannote[4].end 20.97284375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 21.76596875
transcript.pyannote[5].end 48.19221875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 48.95159375
transcript.pyannote[6].end 53.67659375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 53.82846875
transcript.pyannote[7].end 55.14471875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 55.14471875
transcript.pyannote[8].end 55.16159375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 56.03909375
transcript.pyannote[9].end 59.11034375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 59.31284375
transcript.pyannote[10].end 66.82221875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 67.07534375
transcript.pyannote[11].end 67.49721875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 67.29471875
transcript.pyannote[12].end 68.37471875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 68.37471875
transcript.pyannote[13].end 68.77971875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 68.79659375
transcript.pyannote[14].end 76.74471875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 73.18409375
transcript.pyannote[15].end 73.38659375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 77.53784375
transcript.pyannote[16].end 77.97659375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 77.97659375
transcript.pyannote[17].end 79.24221875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 79.78221875
transcript.pyannote[18].end 87.96659375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 81.31784375
transcript.pyannote[19].end 82.75221875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 87.62909375
transcript.pyannote[20].end 93.50159375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 93.78846875
transcript.pyannote[21].end 101.65221875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 102.44534375
transcript.pyannote[22].end 106.07346875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 106.49534375
transcript.pyannote[23].end 115.48971875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 116.13096875
transcript.pyannote[24].end 119.03346875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 119.42159375
transcript.pyannote[25].end 119.45534375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 119.45534375
transcript.pyannote[26].end 124.21409375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 124.21409375
transcript.pyannote[27].end 125.24346875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 124.23096875
transcript.pyannote[28].end 125.91846875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 125.61471875
transcript.pyannote[29].end 140.49846875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 141.51096875
transcript.pyannote[30].end 149.05409375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 149.45909375
transcript.pyannote[31].end 149.96534375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 150.13409375
transcript.pyannote[32].end 152.64846875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 154.15034375
transcript.pyannote[33].end 155.02784375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 155.87159375
transcript.pyannote[34].end 157.12034375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 155.88846875
transcript.pyannote[35].end 156.93471875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 157.27221875
transcript.pyannote[36].end 163.46534375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 159.09471875
transcript.pyannote[37].end 160.98471875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 163.48221875
transcript.pyannote[38].end 163.49909375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 163.49909375
transcript.pyannote[39].end 166.77284375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 165.94596875
transcript.pyannote[40].end 166.19909375
transcript.pyannote[41].speaker SPEAKER_03
transcript.pyannote[41].start 166.19909375
transcript.pyannote[41].end 168.05534375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 166.77284375
transcript.pyannote[42].end 166.78971875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 175.42971875
transcript.pyannote[43].end 176.10471875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 177.30284375
transcript.pyannote[44].end 177.82596875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 177.96096875
transcript.pyannote[45].end 184.03596875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 181.03221875
transcript.pyannote[46].end 181.50471875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 184.03596875
transcript.pyannote[47].end 202.41284375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 203.17221875
transcript.pyannote[48].end 206.15909375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 206.15909375
transcript.pyannote[49].end 206.20971875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 206.31096875
transcript.pyannote[50].end 211.28909375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 211.28909375
transcript.pyannote[51].end 211.30596875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 211.55909375
transcript.pyannote[52].end 212.47034375
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 212.68971875
transcript.pyannote[53].end 213.53346875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 213.34784375
transcript.pyannote[54].end 213.61784375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 213.61784375
transcript.pyannote[55].end 213.63471875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 213.97221875
transcript.pyannote[56].end 215.33909375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 214.00596875
transcript.pyannote[57].end 214.36034375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 215.47409375
transcript.pyannote[58].end 217.43159375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 215.87909375
transcript.pyannote[59].end 216.46971875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 217.88721875
transcript.pyannote[60].end 219.60846875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 219.08534375
transcript.pyannote[61].end 219.74346875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 220.01346875
transcript.pyannote[62].end 221.02596875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 221.59971875
transcript.pyannote[63].end 221.95409375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 221.83596875
transcript.pyannote[64].end 222.96659375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 222.57846875
transcript.pyannote[65].end 225.22784375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 223.47284375
transcript.pyannote[66].end 224.16471875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 225.59909375
transcript.pyannote[67].end 226.89846875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 226.94909375
transcript.pyannote[68].end 228.77159375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 227.82659375
transcript.pyannote[69].end 228.40034375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 228.60284375
transcript.pyannote[70].end 229.73346875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 229.12596875
transcript.pyannote[71].end 230.39159375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 229.95284375
transcript.pyannote[72].end 232.65284375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 231.94409375
transcript.pyannote[73].end 232.29846875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 233.39534375
transcript.pyannote[74].end 234.13784375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 233.59784375
transcript.pyannote[75].end 236.11221875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 236.68596875
transcript.pyannote[76].end 237.74909375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 238.27221875
transcript.pyannote[77].end 238.42409375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 238.42409375
transcript.pyannote[78].end 240.48284375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 238.44096875
transcript.pyannote[79].end 238.45784375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 238.54221875
transcript.pyannote[80].end 238.55909375
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 240.29721875
transcript.pyannote[81].end 240.44909375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 240.44909375
transcript.pyannote[82].end 240.46596875
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 240.46596875
transcript.pyannote[83].end 240.63471875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 240.63471875
transcript.pyannote[84].end 241.02284375
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 241.02284375
transcript.pyannote[85].end 243.28409375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 243.67221875
transcript.pyannote[86].end 244.75221875
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 245.20784375
transcript.pyannote[87].end 249.88221875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 247.84034375
transcript.pyannote[88].end 251.58659375
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 250.27034375
transcript.pyannote[89].end 250.42221875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 252.81846875
transcript.pyannote[90].end 254.48909375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 255.43409375
transcript.pyannote[91].end 256.64909375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 257.27346875
transcript.pyannote[92].end 264.78284375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 265.49159375
transcript.pyannote[93].end 265.60971875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 266.36909375
transcript.pyannote[94].end 268.78221875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 269.86221875
transcript.pyannote[95].end 270.63846875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 271.83659375
transcript.pyannote[96].end 272.46096875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 272.44409375
transcript.pyannote[97].end 273.10221875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 275.44784375
transcript.pyannote[98].end 276.47721875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 277.08471875
transcript.pyannote[99].end 278.35034375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 279.12659375
transcript.pyannote[100].end 281.25284375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 281.97846875
transcript.pyannote[101].end 282.68721875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 283.14284375
transcript.pyannote[102].end 286.48409375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 287.29409375
transcript.pyannote[103].end 295.42784375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 295.88346875
transcript.pyannote[104].end 298.06034375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 298.56659375
transcript.pyannote[105].end 299.78159375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 300.35534375
transcript.pyannote[106].end 300.65909375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 300.89534375
transcript.pyannote[107].end 302.05971875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 302.95409375
transcript.pyannote[108].end 305.99159375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 306.83534375
transcript.pyannote[109].end 336.82221875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 336.97409375
transcript.pyannote[110].end 339.15096875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 339.82596875
transcript.pyannote[111].end 342.67784375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 343.36971875
transcript.pyannote[112].end 346.27221875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 346.50846875
transcript.pyannote[113].end 350.55846875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 351.33471875
transcript.pyannote[114].end 354.74346875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 355.19909375
transcript.pyannote[115].end 366.72471875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 367.63596875
transcript.pyannote[116].end 368.86784375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 369.99846875
transcript.pyannote[117].end 373.52534375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 375.09471875
transcript.pyannote[118].end 381.28784375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 381.62534375
transcript.pyannote[119].end 383.44784375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 384.89909375
transcript.pyannote[120].end 398.97284375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 399.86721875
transcript.pyannote[121].end 405.30096875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 399.91784375
transcript.pyannote[122].end 400.37346875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 404.30534375
transcript.pyannote[123].end 406.68471875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 406.24596875
transcript.pyannote[124].end 408.52409375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 407.27534375
transcript.pyannote[125].end 409.94159375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 410.36346875
transcript.pyannote[126].end 415.02096875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 415.25721875
transcript.pyannote[127].end 418.02471875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 418.14284375
transcript.pyannote[128].end 418.32846875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 418.32846875
transcript.pyannote[129].end 419.12159375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 419.12159375
transcript.pyannote[130].end 419.64471875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 420.31971875
transcript.pyannote[131].end 421.24784375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 423.17159375
transcript.pyannote[132].end 426.78284375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 427.22159375
transcript.pyannote[133].end 427.91346875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 427.96409375
transcript.pyannote[134].end 432.28409375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 431.99721875
transcript.pyannote[135].end 437.29596875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 436.48596875
transcript.pyannote[136].end 438.42659375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 438.96659375
transcript.pyannote[137].end 439.54034375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 440.09721875
transcript.pyannote[138].end 444.06284375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 444.29909375
transcript.pyannote[139].end 444.41721875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 444.46784375
transcript.pyannote[140].end 452.78721875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 446.25659375
transcript.pyannote[141].end 448.70346875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 449.10846875
transcript.pyannote[142].end 449.20971875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 453.73221875
transcript.pyannote[143].end 455.85846875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 456.90471875
transcript.pyannote[144].end 458.08596875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 460.22909375
transcript.pyannote[145].end 460.26284375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 460.26284375
transcript.pyannote[146].end 460.34721875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 460.34721875
transcript.pyannote[147].end 460.98846875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 461.68034375
transcript.pyannote[148].end 465.44346875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 463.89096875
transcript.pyannote[149].end 464.16096875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 465.64596875
transcript.pyannote[150].end 468.09284375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 468.61596875
transcript.pyannote[151].end 469.83096875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 469.39221875
transcript.pyannote[152].end 476.15909375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 476.15909375
transcript.pyannote[153].end 477.32346875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 477.32346875
transcript.pyannote[154].end 477.34034375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 477.34034375
transcript.pyannote[155].end 477.42471875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 477.42471875
transcript.pyannote[156].end 481.60971875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 477.44159375
transcript.pyannote[157].end 478.04909375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 481.60971875
transcript.pyannote[158].end 483.58409375
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 481.87971875
transcript.pyannote[159].end 482.21721875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 483.58409375
transcript.pyannote[160].end 483.65159375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 483.65159375
transcript.pyannote[161].end 484.57971875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 483.70221875
transcript.pyannote[162].end 490.55346875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 491.43096875
transcript.pyannote[163].end 492.49409375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 493.32096875
transcript.pyannote[164].end 497.20221875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 497.69159375
transcript.pyannote[165].end 499.05846875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 500.08784375
transcript.pyannote[166].end 502.60221875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 503.07471875
transcript.pyannote[167].end 507.42846875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 505.35284375
transcript.pyannote[168].end 505.79159375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 507.51284375
transcript.pyannote[169].end 512.44034375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 508.82909375
transcript.pyannote[170].end 509.30159375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 509.65596875
transcript.pyannote[171].end 509.70659375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 510.53346875
transcript.pyannote[172].end 516.82784375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 517.41846875
transcript.pyannote[173].end 518.07659375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 518.80221875
transcript.pyannote[174].end 528.82596875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 521.60346875
transcript.pyannote[175].end 521.87346875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 526.51409375
transcript.pyannote[176].end 527.40846875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 529.16346875
transcript.pyannote[177].end 531.88034375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 532.15034375
transcript.pyannote[178].end 532.52159375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 532.65659375
transcript.pyannote[179].end 533.31471875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 532.75784375
transcript.pyannote[180].end 533.21346875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 533.31471875
transcript.pyannote[181].end 534.15846875
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 534.15846875
transcript.pyannote[182].end 542.79846875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 536.67284375
transcript.pyannote[183].end 539.79471875
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 542.22471875
transcript.pyannote[184].end 542.47784375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 542.79846875
transcript.pyannote[185].end 546.79784375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 544.97534375
transcript.pyannote[186].end 548.82284375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 549.66659375
transcript.pyannote[187].end 553.44659375
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 554.44221875
transcript.pyannote[188].end 556.90596875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 557.73284375
transcript.pyannote[189].end 559.69034375
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 560.34846875
transcript.pyannote[190].end 563.95971875
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 564.41534375
transcript.pyannote[191].end 565.57971875
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 566.84534375
transcript.pyannote[192].end 567.67221875
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 568.88721875
transcript.pyannote[193].end 571.90784375
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 572.95409375
transcript.pyannote[194].end 574.79346875
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 575.75534375
transcript.pyannote[195].end 578.55659375
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 579.31596875
transcript.pyannote[196].end 580.68284375
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 580.63221875
transcript.pyannote[197].end 581.08784375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 581.49284375
transcript.pyannote[198].end 583.51784375
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 581.76284375
transcript.pyannote[199].end 582.89346875
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 584.02409375
transcript.pyannote[200].end 597.08534375
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 584.81721875
transcript.pyannote[201].end 586.77471875
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 591.66846875
transcript.pyannote[202].end 598.26659375
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 597.37221875
transcript.pyannote[203].end 597.42284375
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 599.26221875
transcript.pyannote[204].end 602.31659375
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 602.99159375
transcript.pyannote[205].end 605.23596875
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 605.28659375
transcript.pyannote[206].end 607.00784375
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 607.51409375
transcript.pyannote[207].end 611.39534375
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 611.90159375
transcript.pyannote[208].end 613.47096875
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 614.48346875
transcript.pyannote[209].end 618.97221875
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 618.51659375
transcript.pyannote[210].end 618.58409375
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 618.68534375
transcript.pyannote[211].end 618.73596875
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 618.83721875
transcript.pyannote[212].end 618.92159375
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 618.97221875
transcript.pyannote[213].end 629.67096875
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 624.69284375
transcript.pyannote[214].end 626.61659375
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 627.37596875
transcript.pyannote[215].end 637.48409375
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 638.07471875
transcript.pyannote[216].end 640.47096875
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 640.80846875
transcript.pyannote[217].end 645.51659375
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 645.78659375
transcript.pyannote[218].end 654.20721875
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 655.16909375
transcript.pyannote[219].end 664.31534375
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 665.49659375
transcript.pyannote[220].end 668.14596875
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 668.41596875
transcript.pyannote[221].end 669.98534375
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 670.72784375
transcript.pyannote[222].end 671.23409375
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 672.82034375
transcript.pyannote[223].end 673.63034375
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 674.20409375
transcript.pyannote[224].end 674.86221875
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 674.96346875
transcript.pyannote[225].end 677.74784375
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 678.84471875
transcript.pyannote[226].end 680.19471875
transcript.pyannote[227].speaker SPEAKER_00
transcript.pyannote[227].start 681.13971875
transcript.pyannote[227].end 682.08471875
transcript.pyannote[228].speaker SPEAKER_00
transcript.pyannote[228].start 683.60346875
transcript.pyannote[228].end 684.98721875
transcript.pyannote[229].speaker SPEAKER_00
transcript.pyannote[229].start 685.89846875
transcript.pyannote[229].end 687.65346875
transcript.pyannote[230].speaker SPEAKER_00
transcript.pyannote[230].start 688.15971875
transcript.pyannote[230].end 689.67846875
transcript.pyannote[231].speaker SPEAKER_00
transcript.pyannote[231].start 690.65721875
transcript.pyannote[231].end 690.96096875
transcript.pyannote[232].speaker SPEAKER_00
transcript.pyannote[232].start 691.83846875
transcript.pyannote[232].end 692.63159375
transcript.pyannote[233].speaker SPEAKER_00
transcript.pyannote[233].start 695.14596875
transcript.pyannote[233].end 696.29346875
transcript.pyannote[234].speaker SPEAKER_00
transcript.pyannote[234].start 696.83346875
transcript.pyannote[234].end 698.99346875
transcript.pyannote[235].speaker SPEAKER_00
transcript.pyannote[235].start 700.02284375
transcript.pyannote[235].end 704.34284375
transcript.pyannote[236].speaker SPEAKER_00
transcript.pyannote[236].start 705.08534375
transcript.pyannote[236].end 714.70409375
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 714.85596875
transcript.pyannote[237].end 716.20596875
transcript.pyannote[238].speaker SPEAKER_00
transcript.pyannote[238].start 717.11721875
transcript.pyannote[238].end 717.69096875
transcript.pyannote[239].speaker SPEAKER_00
transcript.pyannote[239].start 718.45034375
transcript.pyannote[239].end 725.90909375
transcript.pyannote[240].speaker SPEAKER_00
transcript.pyannote[240].start 727.15784375
transcript.pyannote[240].end 733.51971875
transcript.pyannote[241].speaker SPEAKER_00
transcript.pyannote[241].start 733.99221875
transcript.pyannote[241].end 734.02596875
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 734.02596875
transcript.pyannote[242].end 734.76846875
transcript.pyannote[243].speaker SPEAKER_00
transcript.pyannote[243].start 734.76846875
transcript.pyannote[243].end 734.93721875
transcript.pyannote[244].speaker SPEAKER_00
transcript.pyannote[244].start 735.74721875
transcript.pyannote[244].end 736.45596875
transcript.whisperx[0].start 7.935
transcript.whisperx[0].end 20.163
transcript.whisperx[0].text 主席有請黃秘書長好有請黃秘書長您好你好秘書長好我想念一段話你們告訴大家是誰講的
transcript.whisperx[1].start 21.826
transcript.whisperx[1].end 47.432
transcript.whisperx[1].text 制度上的錯誤就是提名制度的錯誤大家想想看監委未來可能要調查總統行政院長及其他有權利者的業務結果他卻是由總統提名而且總統可能身兼黨主席最後下令以黨紀要求通過這樣的話被提名人和後來的當選人如何不受政治力的影響這段話誰講的
transcript.whisperx[2].start 49.308
transcript.whisperx[2].end 75.022
transcript.whisperx[2].text 謝謝委員指教我針對一下沒有辦法記得是誰講的抱歉我告訴你2014年7月秘書長你在參加立法院行使監察院院長副院長監察員統一權公聽會上說的話公報上都有寫所以對自己講過的話還是記性要好一點點謝謝指教我想請問一下秘書長這段話你還認同嗎
transcript.whisperx[3].start 77.574
transcript.whisperx[3].end 104.761
transcript.whisperx[3].text 我現在在這個位置上面我對於學者世代講的話我沒有辦法在這邊給你做這個回應沒關係啦 民主黨也不為難你啦謝謝很明顯你也不能夠面對你的過去你過去說總統兼黨主席下令黨紀通過這樣的話被提名跟後來的當選人如何不受政治力的影響但是沒有關係你還講了一句話我就很認同
transcript.whisperx[4].start 106.944
transcript.whisperx[4].end 115.169
transcript.whisperx[4].text 你說風骨才是最重要的沒有風骨作文寫得再漂亮提名的人的代表性再好在我們看來都是一場空
transcript.whisperx[5].start 116.669
transcript.whisperx[5].end 139.514
transcript.whisperx[5].text 這句話我認同,我相信這句話你應該也沒改變吧,對不對?謝謝委員指教,我對於封鼓這一次,我對我自己的要求也非常嚴格。來,你還講了一句話,你說第四屆監察委員追殺前朝官員,針對當朝的中央政務官只彈劾了四次,其他四分之三的案子都是彈劾事務官,這是你說的對吧?
transcript.whisperx[6].start 141.57
transcript.whisperx[6].end 166.259
transcript.whisperx[6].text 是好 那我想問 本屆民進黨執政的第六屆監察委員彈劾了幾位當朝的中央政務官有的 我們這邊有一些資料政務官喔 我們是講事務官喔我這邊一下念給我聽嘛 政務官哪些人嘛政務官的那個比例有沒有時間暫停一下好不好好的 不好意思好 那時間先暫停
transcript.whisperx[7].start 178.113
transcript.whisperx[7].end 202.098
transcript.whisperx[7].text 對不起 報告委員 我們沒有統計政務官的資料只是統計中央跟地方的資料我是用秘書長的標準講啦你講的是指這個針對當朝政務官彈劾四次其他都是彈劾事務官所以你這叫做追殺前朝官員喔沒關係啦 我告訴你至少我沒有看到任何喊得出名字的中央政務官
transcript.whisperx[8].start 203.24
transcript.whisperx[8].end 223.059
transcript.whisperx[8].text 被你們本屆監察委員彈劾,你可以把名字講出來啦因為我來這邊的時間,這邊有沒有相關的報告謝曉欽還有李伯道他是什麼?次長?政務官?政務官部長謝曉欽是什麼職務?當時被彈劾的職務是什麼?
transcript.whisperx[9].start 225.842
transcript.whisperx[9].end 254.304
transcript.whisperx[9].text 袁仁慧的主委袁仁慧主委喔 非常好非常好李伯道是法院的院長那我來告訴你喔你們批評的還有什麼 另外一個什麼李伯道他是什麼職務被彈劾的就之前法官性騷案的那個什麼司法院的什麼司法院懲戒法院的院長那時候就說性騷他的法官助理我直接說啦我再幫你講清楚一點啦
transcript.whisperx[10].start 255.475
transcript.whisperx[10].end 280.784
transcript.whisperx[10].text 民進黨執政後 只有一位叫得出名字的中央政務官被彈劾你剛剛講的那兩位 我坦白講啦一般社會大眾也不太認識這兩個人啦只有一個 我幫你講 你知道是誰嗎民進黨你知道是誰嗎只有一個啊就是管宗明 叫做前朝的政務委員因為他寫了一篇社論
transcript.whisperx[11].start 282.171
transcript.whisperx[11].end 305.743
transcript.whisperx[11].text 結果呢,被我們民進黨執政中央的監察院來查核秘書長你也批評過一段話,師父你講許多眾所矚目的重大案件根本無法彈劾這是您在批評第四屆監委的時候說的話有說過嘛,對不對公報上也都會寫來,我來告訴你,你講得太好了,你就預言家
transcript.whisperx[12].start 307.092
transcript.whisperx[12].end 331.434
transcript.whisperx[12].text 賴清德的大弟子 前行政院發言人陳忠彥涉及性招待 官說為私 輿論沸騰監察院 以壓倒性的票數 反對彈劾陳忠彥陳菊愛將陳啟玉涉光電弊案 前行政院長蘇貞昌早就接獲檢舉監察院也是聞風不動你的前任李靜玉秘書長 用公務車送愛犬去美容
transcript.whisperx[13].start 332.715
transcript.whisperx[13].end 350.308
transcript.whisperx[13].text 也一樣監察院也沒彈劾啊 不聞不問啊然後接下來我們只看到什麼我不客氣的講 我只看到像高永成施壓段怡康的曲棍求案的辦案檢察官因為不成功兩度彈劾他
transcript.whisperx[14].start 351.38
transcript.whisperx[14].end 372.456
transcript.whisperx[14].text 高永成不但對提告的林志堅的調查官余政煌也發動以監察委員的身份發動了政治清算介入卡管案也很努力認真地查了35年前的舊案來鬥侯友誼半藍不半綠我要說啊 這個風骨我覺得我也算見識得到
transcript.whisperx[15].start 375.111
transcript.whisperx[15].end 397.197
transcript.whisperx[15].text 但是呢 我知道秘書長你剛上任 這些講你也不公道可是我要講就是現在的事啦監察院現在突然要查四年前新竹市長林志堅碩士論文案的台大學倫審查機制與標準約詢台大前社科院院長蘇鴻達 沒錯吧
transcript.whisperx[16].start 399.892
transcript.whisperx[16].end 418.842
transcript.whisperx[16].text 我沒說錯吧這個派查時間是在113年的4月9號不是現在不是今天是兩年前就進入派查來那沒關係就不是你現任我說過帳不能算你對不是你當秘書長的時候但也是在本屆監委發生的事沒錯吧是在本屆監委謝謝好來
transcript.whisperx[17].start 423.343
transcript.whisperx[17].end 448.6
transcript.whisperx[17].text 監察院怎麼回答大家 你說這是民眾陳情嘛 對不對本於職權必須啟動調查嘛 沒錯吧 監察院是這樣回答的嘛 對不對這是監委的對外說明 因為我們院裡也不能去介入他的案件非常好 非常好 非常好民主黨自己都說這屆監察院有10萬個陳情案件嘛 對不對預估啦 預估將近是10萬件到目前為止 啟動調查約尋當事人幾件
transcript.whisperx[18].start 454.152
transcript.whisperx[18].end 467.897
transcript.whisperx[18].text 10萬件有幾件?你預估的10萬件啦約尋當事人沒關係啦,事後報告送給我啦我看你的報告裡面光成立調查案件也就200多件啦
transcript.whisperx[19].start 469.447
transcript.whisperx[19].end 490.425
transcript.whisperx[19].text 那這前面再加說你今天有所謂的約談的 我講約談喔約談的案件有幾件派查案件有一千五百多件我說約談 以及約談當事人的案件幾件基本上幾乎約談的比例 在派查裡面的比例都非常高派查幾件嘛派查一千五百多件十萬件一千五百多件 比例也算非常高啦 肯定啦 好不好
transcript.whisperx[20].start 491.462
transcript.whisperx[20].end 517.816
transcript.whisperx[20].text 那我要告訴你針對那九萬九千件沒有派查的當然包括預估啦講預估不準啦我先繞回來好了因為十萬件是你講的嘛如果你包含預估位啦到現在為止到底幾件嘛因為很多的澄清案件的內容我先確認一下到現在為止幾件嘛不要跟我講預估那預估加起來十萬件嘛現在幾件監委現在任期幾年啦
transcript.whisperx[21].start 519.255
transcript.whisperx[21].end 531.596
transcript.whisperx[21].text 這屆幾年了五年半快結束了啊五年半多了所以十萬件也差不多啦不是嗎你預估六年十萬件現在也都已經快認滿了嘛算你九萬件好不好可以吧
transcript.whisperx[22].start 532.796
transcript.whisperx[22].end 556.775
transcript.whisperx[22].text 有吧 八萬件嘛 直接告訴我了嘛沒關係 算數學 一千多件 八萬扣一千多件 七萬九千件但是有很多陳情案真的也是沒有辦法進入到派查的程序沒關係 我知道啦 我只是告訴你啦 我只是告訴你 現在我就告訴你啦我要為這七萬九千個所謂的陳情的民眾來跟我們的監委大人申冤啦
transcript.whisperx[23].start 557.919
transcript.whisperx[23].end 582.46
transcript.whisperx[23].text 為什麼幫小智查學倫不幫這7萬9千的民眾查冤屈我告訴你為什麼我要說啊林智堅新竹棒球的案子查了幾年啊新竹棒球場的案子查了幾年啊四年啦四年啦
transcript.whisperx[24].start 584.853
transcript.whisperx[24].end 613.127
transcript.whisperx[24].text 查到什麼程度?進度到哪裡?目前暫停調查因為在等檢方的最後的確定我們才能夠繼續進行才會確實我跟你講我也在中央政府當過差啦我告訴你檢方的刑事偵查跟監察院的所謂的監察彈劾是不衝突的
transcript.whisperx[25].start 614.557
transcript.whisperx[25].end 636.616
transcript.whisperx[25].text 所以這個也不足以構成你們的所謂延宕的理由但是沒有關係因為這個案子涉入了許多檢方調查的內容我們這邊沒有檢查權所以變成沒有辦法深入了解你總要有個理由講啦我就接到你的理由嘛就檢方在查所以四年不動嘛動不了啦 不要講不動啦不動可能你也不贊成啦謝謝
transcript.whisperx[26].start 638.377
transcript.whisperx[26].end 663.792
transcript.whisperx[26].text 論文案發生也在四年前台大撤銷學位的審定報告書早就寫好已經到教育部了林志堅當事人他一度向教育部提出訴願隔年撤回訴願當事人都認了此案早已結案我要講的是這七萬九千件的冤屈你覺得太小不好好查或是覺得很難查不查或是覺得不重要不查沒關係你監察委員的判斷
transcript.whisperx[27].start 665.54
transcript.whisperx[27].end 692.408
transcript.whisperx[27].text 可是你們那麼大張旗鼓那麼認真努力讓我就覺得監察委員好像好像蠻閒的啊林志堅的這個學輪案可以再翻過來重查已經定案的事情外界怎麼看就我們小智很棒啊小智很有關係啊比那7萬9千的民眾要後台硬啊
transcript.whisperx[28].start 695.299
transcript.whisperx[28].end 715.635
transcript.whisperx[28].text 四年前的案子 新竹棒球場的案子 悄然無聲現在到四年後開始重啟學倫案我最後還是講一句話啦 秘書長我今天必須本於職權職權這個事 但是我沒有怪你為什麼 因為我知道你秘書長也管不了監委啊我講的沒錯嘛 對不對 沒錯吧
transcript.whisperx[29].start 718.553
transcript.whisperx[29].end 732.883
transcript.whisperx[29].text 所以我也沒有怪你可是但是我要告訴用這個立法院我們今天立法委員職呈來告訴大家監察院到現在那麼多人對他有意見不是沒有原因的謝謝我們秘書長