iVOD / 163779

Field Value
IVOD_ID 163779
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/163779
日期 2025-09-19
影片種類 Clip
開始時間 2025-09-19T11:35:59+08:00
結束時間 2025-09-19T11:46:07+08:00
影片長度 00:10:08
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/8e361f1746a1395886498784a3735d7bf1ae621572fec62015037a6925ac6f524c7f6e4539bc04505ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 賴士葆
委員發言時間 11:35:59 - 11:46:07
會議時間 2025-09-19T10:30:00+08:00
會議名稱 第11屆第4會期第1次全院委員會「行使審計部審計長同意權案」公聽會(事由:第11屆第4會期第1次全院委員會「行使審計部審計長同意權案」公聽會)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 2.14034375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 3.79409375
transcript.pyannote[1].end 7.03409375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 7.86096875
transcript.pyannote[2].end 13.05846875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 13.48034375
transcript.pyannote[3].end 15.33659375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 16.02846875
transcript.pyannote[4].end 20.87159375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 21.10784375
transcript.pyannote[5].end 21.76596875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 22.66034375
transcript.pyannote[6].end 26.17034375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 26.82846875
transcript.pyannote[7].end 29.12346875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 29.49471875
transcript.pyannote[8].end 30.91221875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 31.50284375
transcript.pyannote[9].end 32.75159375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 33.51096875
transcript.pyannote[10].end 34.57409375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 34.96221875
transcript.pyannote[11].end 37.54409375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 37.86471875
transcript.pyannote[12].end 40.68284375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 41.02034375
transcript.pyannote[13].end 42.58971875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 43.02846875
transcript.pyannote[14].end 43.38284375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 44.14221875
transcript.pyannote[15].end 46.52159375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 46.85909375
transcript.pyannote[16].end 51.36471875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 51.63471875
transcript.pyannote[17].end 58.68846875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 59.59971875
transcript.pyannote[18].end 60.22409375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 61.23659375
transcript.pyannote[19].end 64.18971875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 64.64534375
transcript.pyannote[20].end 65.75909375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 66.19784375
transcript.pyannote[21].end 68.17221875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 68.81346875
transcript.pyannote[22].end 69.99471875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 70.70346875
transcript.pyannote[23].end 73.36971875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 74.58471875
transcript.pyannote[24].end 75.25971875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 75.71534375
transcript.pyannote[25].end 76.71096875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 76.94721875
transcript.pyannote[26].end 78.28034375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 78.58409375
transcript.pyannote[27].end 79.12409375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 79.78221875
transcript.pyannote[28].end 81.19971875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 81.55409375
transcript.pyannote[29].end 82.12784375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 82.73534375
transcript.pyannote[30].end 85.65471875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 85.85721875
transcript.pyannote[31].end 89.95784375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 90.44721875
transcript.pyannote[32].end 99.66096875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 100.33596875
transcript.pyannote[33].end 105.34784375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 106.10721875
transcript.pyannote[34].end 107.52471875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 108.40221875
transcript.pyannote[35].end 111.62534375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 112.01346875
transcript.pyannote[36].end 112.80659375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 112.97534375
transcript.pyannote[37].end 114.94971875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 115.47284375
transcript.pyannote[38].end 120.46784375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 120.83909375
transcript.pyannote[39].end 123.10034375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 123.52221875
transcript.pyannote[40].end 123.96096875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 124.39971875
transcript.pyannote[41].end 125.88471875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 126.62721875
transcript.pyannote[42].end 129.32721875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 129.49596875
transcript.pyannote[43].end 132.70221875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 133.27596875
transcript.pyannote[44].end 134.64284375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 135.33471875
transcript.pyannote[45].end 137.20784375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 137.59596875
transcript.pyannote[46].end 139.78971875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 139.87409375
transcript.pyannote[47].end 141.12284375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 141.79784375
transcript.pyannote[48].end 142.91159375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 143.29971875
transcript.pyannote[49].end 143.94096875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 144.93659375
transcript.pyannote[50].end 146.42159375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 146.75909375
transcript.pyannote[51].end 148.63221875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 148.85159375
transcript.pyannote[52].end 150.50534375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 151.21409375
transcript.pyannote[53].end 156.37784375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 156.73221875
transcript.pyannote[54].end 158.14971875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 158.95971875
transcript.pyannote[55].end 161.38971875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 162.11534375
transcript.pyannote[56].end 164.84909375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 165.28784375
transcript.pyannote[57].end 167.07659375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 167.66721875
transcript.pyannote[58].end 171.22784375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 172.03784375
transcript.pyannote[59].end 173.60721875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 174.21471875
transcript.pyannote[60].end 175.69971875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 176.40846875
transcript.pyannote[61].end 177.94409375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 179.07471875
transcript.pyannote[62].end 180.32346875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 181.11659375
transcript.pyannote[63].end 182.66909375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 183.52971875
transcript.pyannote[64].end 185.21721875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 186.53346875
transcript.pyannote[65].end 187.91721875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 188.50784375
transcript.pyannote[66].end 190.26284375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 191.41034375
transcript.pyannote[67].end 192.03471875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 192.55784375
transcript.pyannote[68].end 194.31284375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 195.27471875
transcript.pyannote[69].end 196.81034375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 197.70471875
transcript.pyannote[70].end 201.73784375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 202.12596875
transcript.pyannote[71].end 204.28596875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 204.74159375
transcript.pyannote[72].end 224.04659375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 225.10971875
transcript.pyannote[73].end 226.00409375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 226.71284375
transcript.pyannote[74].end 227.92784375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 228.34971875
transcript.pyannote[75].end 231.03284375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 231.58971875
transcript.pyannote[76].end 232.46721875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 232.77096875
transcript.pyannote[77].end 234.18846875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 234.93096875
transcript.pyannote[78].end 235.35284375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 235.94346875
transcript.pyannote[79].end 236.98971875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 237.07409375
transcript.pyannote[80].end 238.08659375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 238.13721875
transcript.pyannote[81].end 239.20034375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 239.43659375
transcript.pyannote[82].end 248.54909375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 249.02159375
transcript.pyannote[83].end 250.03409375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 251.01284375
transcript.pyannote[84].end 251.63721875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 252.43034375
transcript.pyannote[85].end 253.81409375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 254.77596875
transcript.pyannote[86].end 256.07534375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 256.26096875
transcript.pyannote[87].end 257.69534375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 258.53909375
transcript.pyannote[88].end 259.41659375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 260.91846875
transcript.pyannote[89].end 261.76221875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 262.18409375
transcript.pyannote[90].end 262.77471875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 263.23034375
transcript.pyannote[91].end 265.39034375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 265.60971875
transcript.pyannote[92].end 266.35221875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 267.04409375
transcript.pyannote[93].end 267.90471875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 268.63034375
transcript.pyannote[94].end 270.45284375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 271.26284375
transcript.pyannote[95].end 274.03034375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 274.18221875
transcript.pyannote[96].end 274.87409375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 275.46471875
transcript.pyannote[97].end 277.57409375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 277.87784375
transcript.pyannote[98].end 281.57346875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 282.23159375
transcript.pyannote[99].end 283.49721875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 283.90221875
transcript.pyannote[100].end 285.92721875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 286.21409375
transcript.pyannote[101].end 287.56409375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 288.52596875
transcript.pyannote[102].end 290.36534375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 291.20909375
transcript.pyannote[103].end 293.36909375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 294.38159375
transcript.pyannote[104].end 299.54534375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 300.13596875
transcript.pyannote[105].end 301.11471875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 301.90784375
transcript.pyannote[106].end 310.36221875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 311.29034375
transcript.pyannote[107].end 311.77971875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 312.11721875
transcript.pyannote[108].end 312.91034375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 313.33221875
transcript.pyannote[109].end 315.49221875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 315.61034375
transcript.pyannote[110].end 316.09971875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 316.65659375
transcript.pyannote[111].end 318.24284375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 318.96846875
transcript.pyannote[112].end 320.95971875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 320.97659375
transcript.pyannote[113].end 321.70221875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 321.73596875
transcript.pyannote[114].end 323.37284375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 323.62596875
transcript.pyannote[115].end 324.38534375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 324.45284375
transcript.pyannote[116].end 325.07721875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 325.53284375
transcript.pyannote[117].end 326.32596875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 326.59596875
transcript.pyannote[118].end 329.46471875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 330.10596875
transcript.pyannote[119].end 333.93659375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 334.15596875
transcript.pyannote[120].end 335.23596875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 335.74221875
transcript.pyannote[121].end 336.46784375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 336.75471875
transcript.pyannote[122].end 338.37471875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 338.72909375
transcript.pyannote[123].end 340.43346875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 341.07471875
transcript.pyannote[124].end 347.72346875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 347.79096875
transcript.pyannote[125].end 351.38534375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 352.44846875
transcript.pyannote[126].end 353.15721875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 353.52846875
transcript.pyannote[127].end 355.11471875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 355.65471875
transcript.pyannote[128].end 356.32971875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 356.92034375
transcript.pyannote[129].end 357.94971875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 358.38846875
transcript.pyannote[130].end 360.12659375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 360.51471875
transcript.pyannote[131].end 363.45096875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 364.14284375
transcript.pyannote[132].end 365.50971875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 365.83034375
transcript.pyannote[133].end 367.58534375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 368.17596875
transcript.pyannote[134].end 371.44971875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 372.05721875
transcript.pyannote[135].end 373.98096875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 374.63909375
transcript.pyannote[136].end 375.28034375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 375.55034375
transcript.pyannote[137].end 377.64284375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 377.81159375
transcript.pyannote[138].end 380.86596875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 381.59159375
transcript.pyannote[139].end 387.66659375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 387.85221875
transcript.pyannote[140].end 389.77596875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 390.01221875
transcript.pyannote[141].end 390.51846875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 391.59846875
transcript.pyannote[142].end 392.02034375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 392.35784375
transcript.pyannote[143].end 394.78784375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 395.88471875
transcript.pyannote[144].end 397.87596875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 398.21346875
transcript.pyannote[145].end 398.83784375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 399.29346875
transcript.pyannote[146].end 399.93471875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 400.81221875
transcript.pyannote[147].end 401.50409375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 401.85846875
transcript.pyannote[148].end 402.44909375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 403.14096875
transcript.pyannote[149].end 404.28846875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 405.19971875
transcript.pyannote[150].end 406.43159375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 407.51159375
transcript.pyannote[151].end 410.00909375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 410.34659375
transcript.pyannote[152].end 411.12284375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 411.66284375
transcript.pyannote[153].end 412.40534375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 413.16471875
transcript.pyannote[154].end 414.80159375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 415.51034375
transcript.pyannote[155].end 417.46784375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 418.19346875
transcript.pyannote[156].end 418.88534375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 419.71221875
transcript.pyannote[157].end 423.30659375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 423.96471875
transcript.pyannote[158].end 424.65659375
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 425.50034375
transcript.pyannote[159].end 427.67721875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 427.86284375
transcript.pyannote[160].end 433.31346875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 433.58346875
transcript.pyannote[161].end 434.29221875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 435.13596875
transcript.pyannote[162].end 436.24971875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 436.73909375
transcript.pyannote[163].end 437.14409375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 437.44784375
transcript.pyannote[164].end 438.39284375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 438.73034375
transcript.pyannote[165].end 439.45596875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 439.91159375
transcript.pyannote[166].end 440.72159375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 441.09284375
transcript.pyannote[167].end 441.73409375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 442.00409375
transcript.pyannote[168].end 443.01659375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 443.23596875
transcript.pyannote[169].end 444.38346875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 444.99096875
transcript.pyannote[170].end 446.34096875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 447.25221875
transcript.pyannote[171].end 447.94409375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 448.65284375
transcript.pyannote[172].end 449.85096875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 450.28971875
transcript.pyannote[173].end 451.67346875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 451.72409375
transcript.pyannote[174].end 452.98971875
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 453.68159375
transcript.pyannote[175].end 456.60096875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 457.27596875
transcript.pyannote[176].end 463.99221875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 464.43096875
transcript.pyannote[177].end 466.87784375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 467.26596875
transcript.pyannote[178].end 467.73846875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 467.94096875
transcript.pyannote[179].end 469.51034375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 469.76346875
transcript.pyannote[180].end 471.33284375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 473.15534375
transcript.pyannote[181].end 473.98221875
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 474.53909375
transcript.pyannote[182].end 475.12971875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 476.04096875
transcript.pyannote[183].end 477.69471875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 477.99846875
transcript.pyannote[184].end 479.12909375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 479.53409375
transcript.pyannote[185].end 481.49159375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 482.01471875
transcript.pyannote[186].end 482.65596875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 486.21659375
transcript.pyannote[187].end 486.79034375
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 487.76909375
transcript.pyannote[188].end 488.83221875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 490.16534375
transcript.pyannote[189].end 491.56596875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 492.05534375
transcript.pyannote[190].end 492.79784375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 494.78909375
transcript.pyannote[191].end 495.22784375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 497.06721875
transcript.pyannote[192].end 497.70846875
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 497.92784375
transcript.pyannote[193].end 498.83909375
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 499.39596875
transcript.pyannote[194].end 500.27346875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 500.72909375
transcript.pyannote[195].end 502.43346875
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 502.56846875
transcript.pyannote[196].end 503.58096875
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 505.40346875
transcript.pyannote[197].end 506.44971875
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 507.37784375
transcript.pyannote[198].end 508.72784375
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 510.09471875
transcript.pyannote[199].end 511.36034375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 512.05221875
transcript.pyannote[200].end 517.85721875
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 518.66721875
transcript.pyannote[201].end 520.52346875
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 521.19846875
transcript.pyannote[202].end 522.29534375
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 523.15596875
transcript.pyannote[203].end 524.67471875
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 524.91096875
transcript.pyannote[204].end 526.91909375
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 527.29034375
transcript.pyannote[205].end 529.92284375
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 530.29409375
transcript.pyannote[206].end 531.23909375
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 532.08284375
transcript.pyannote[207].end 533.02784375
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 533.98971875
transcript.pyannote[208].end 535.84596875
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 535.93034375
transcript.pyannote[209].end 538.17471875
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 538.86659375
transcript.pyannote[210].end 541.43159375
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 542.54534375
transcript.pyannote[211].end 543.89534375
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 545.11034375
transcript.pyannote[212].end 550.91534375
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 551.37096875
transcript.pyannote[213].end 552.48471875
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 552.77159375
transcript.pyannote[214].end 553.95284375
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 554.81346875
transcript.pyannote[215].end 559.04909375
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 560.28096875
transcript.pyannote[216].end 561.15846875
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 561.78284375
transcript.pyannote[217].end 563.92596875
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 564.58409375
transcript.pyannote[218].end 565.20846875
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 565.79909375
transcript.pyannote[219].end 567.70596875
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 568.16159375
transcript.pyannote[220].end 569.74784375
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 570.49034375
transcript.pyannote[221].end 571.03034375
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 571.23284375
transcript.pyannote[222].end 574.28721875
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 574.60784375
transcript.pyannote[223].end 578.48909375
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 578.91096875
transcript.pyannote[224].end 583.21409375
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 583.78784375
transcript.pyannote[225].end 585.99846875
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 586.35284375
transcript.pyannote[226].end 586.85909375
transcript.pyannote[227].speaker SPEAKER_00
transcript.pyannote[227].start 587.38221875
transcript.pyannote[227].end 591.73596875
transcript.pyannote[228].speaker SPEAKER_00
transcript.pyannote[228].start 592.19159375
transcript.pyannote[228].end 594.16596875
transcript.pyannote[229].speaker SPEAKER_00
transcript.pyannote[229].start 594.99284375
transcript.pyannote[229].end 596.69721875
transcript.pyannote[230].speaker SPEAKER_00
transcript.pyannote[230].start 597.27096875
transcript.pyannote[230].end 597.89534375
transcript.pyannote[231].speaker SPEAKER_00
transcript.pyannote[231].start 598.14846875
transcript.pyannote[231].end 598.23284375
transcript.pyannote[232].speaker SPEAKER_00
transcript.pyannote[232].start 598.72221875
transcript.pyannote[232].end 600.27471875
transcript.pyannote[233].speaker SPEAKER_00
transcript.pyannote[233].start 601.15221875
transcript.pyannote[233].end 602.67096875
transcript.pyannote[234].speaker SPEAKER_00
transcript.pyannote[234].start 603.44721875
transcript.pyannote[234].end 604.44284375
transcript.pyannote[235].speaker SPEAKER_00
transcript.pyannote[235].start 604.88159375
transcript.pyannote[235].end 606.63659375
transcript.pyannote[236].speaker SPEAKER_00
transcript.pyannote[236].start 606.92346875
transcript.pyannote[236].end 607.41284375
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 607.69971875
transcript.pyannote[237].end 609.30284375
transcript.whisperx[0].start 0.829
transcript.whisperx[0].end 20.054
transcript.whisperx[0].text 黃珊珊委員請準備謝謝主席韓院長那麼一起各位先進那我們今天是對於這個陳審計長他的一個續任我們要不要跟他同意那這段時間這個我聽到一些聲音啦本黨黨團的委員
transcript.whisperx[1].start 22.728
transcript.whisperx[1].end 42.364
transcript.whisperx[1].text 大概都持比較正面的態度看這個事情主要的原因就是因為我們在每一次請他來特別是財委會質詢的時候他基本上大概立委有要求的他都會照實的回答而且提供很多的資料
transcript.whisperx[2].start 44.445
transcript.whisperx[2].end 73.223
transcript.whisperx[2].text 這個是他正面的這一部分那現在呢我剛看到前面幾個專家學者談到的也就是我心裡的一個看法就是我們的沈記長其實我常常認為沈記長是手拿大刀啊要砍啊這個大刀砍了好不好啊就看沈記長的表現那過去呢這可以比較林慶榮跟現在的陳瑞銘比如說以在人員政策這一部分
transcript.whisperx[3].start 74.636
transcript.whisperx[3].end 98.986
transcript.whisperx[3].text 林慶榮就講了怎麼樣他語氣很平淡可是態度很堅決他敢一針見血的說你這個行政部門什麼問題比如說他就這樣講他說人員轉型矛盾這個話就講得一針見血2018例如2018年天然氣接收站跟再生能源進度的問題
transcript.whisperx[4].start 100.367
transcript.whisperx[4].end 115.841
transcript.whisperx[4].text 他個人定調可是用詞潛質堅定有力看我們陳瑞民省紀長現任的省紀長他的用詞是什麼他公開答詢的時候語調溫和強調查核發現在講話所以很明顯的看這兩個省紀長調調個性不一樣
transcript.whisperx[5].start 126.65
transcript.whisperx[5].end 146.228
transcript.whisperx[5].text 就原來的林青龍是什麼問題我單刀直入竊進去你有這個問題我們的陳審計長呢就揭露有人說他什麼他你看表面上他都回答要查這個要查那個但是實質上呢到最後這個輕輕放下
transcript.whisperx[6].start 146.84
transcript.whisperx[6].end 170.819
transcript.whisperx[6].text 我的感覺是這樣子就整體的這樣子這幾年來就是他高高的舉起是我們立委要求他舉起所以第一個我要批評他的是他的主動性是不夠的比如說我們最近剛才中文提到的這個地方財政數字化文化的問題這個財化法各位財化法修了快20年有人講有人批評
transcript.whisperx[7].start 172.76
transcript.whisperx[7].end 194.138
transcript.whisperx[7].text 有人批評說這個萬年總招我們叫萬年才化法修了20年修不過好不容易在去年上一屆的時候把它修過了修過了後來現在行政院抓了一個尾巴說這個離島的部分你沒有處理好
transcript.whisperx[8].start 195.305
transcript.whisperx[8].end 223.764
transcript.whisperx[8].text 這個就修16條之一按照我們跟韓院長這樣配合的默契還記得把特別預算我都記得很清楚啊禮拜四早上巡打75個人登記到每一個委員的提案200多個提案我處理完我是召委處理完我就交給我們的韓院長連夜的協商到半夜清晨一點多我非常佩服韓院長的這個體力跟毅力
transcript.whisperx[9].start 225.151
transcript.whisperx[9].end 253.682
transcript.whisperx[9].text 第二天刪讀了我們速度可以這麼快所以這個小吃16之1要修的話我認為一個禮拜就可以搞定按照馬上就給他進負荷毒查尾協商一下子就可以進去了但是行政院不是這樣子抓住這個 哇無限的放大說這個採化法有問題喔要重新來喔那我請問啊請問啊那行政院有沒有版本
transcript.whisperx[10].start 254.83
transcript.whisperx[10].end 266.191
transcript.whisperx[10].text 到現在為止行政院完全沒有版本行政院在混行政院在混才畫法因為剛才有委員提出來我就特別來講一下
transcript.whisperx[11].start 267.096
transcript.whisperx[11].end 293.305
transcript.whisperx[11].text 那大家都知道大家不要見數不見零啊中央政府給地方政府的三個錢第一個錢 統籌分配稅款第二個錢 一般補助款第三個錢 計畫型補助款以台北市為例他們都說喔 台北市拿最多拿450億啊統籌分配稅款 對不起一般補助款 它扣了100億回去了
transcript.whisperx[12].start 294.754
transcript.whisperx[12].end 318.245
transcript.whisperx[12].text 計畫性補助款扣了300多億回去了所以通通等於幾乎原地踏不踏這個就是現況這時候審計長要介入啊審計部要介入啊你就發現到我們的審計長對於爭議的題目不敢碰不敢碰他除了什麼立委質詢的時候提出來有沒有有我這個人講話都很公道的
transcript.whisperx[13].start 319.512
transcript.whisperx[13].end 328.962
transcript.whisperx[13].text 我都按照數字來講話 比如說雞蛋 超市雞蛋那是什麼 對不起 那是立法院排床報告
transcript.whisperx[14].start 330.171
transcript.whisperx[14].end 356.288
transcript.whisperx[14].text 立委要求他就調查了立委給我做的啊我只好做啊就變成這樣子所以主動性非常不夠他有提到了你看這個審計部阿茲農委會112年3月開放雞蛋進口專案造成損失費用超過5億超過5億這個他具體的陳述他做到了
transcript.whisperx[15].start 356.96
transcript.whisperx[15].end 371.292
transcript.whisperx[15].text 可是我覺得那時候已經吵得沸沸揚揚如果沒有排中央報告我不知道審計報告在哪裡我不知道審計報告在哪裡所以這時候我就說他一上台我就告訴他你是拿一支大刀啊結果這個大刀什麼時候要回
transcript.whisperx[16].start 374.667
transcript.whisperx[16].end 399.825
transcript.whisperx[16].text 他發現要有人告訴他 他才敢揮啊沒有人告訴他不敢揮啊這個沈繼昌做的 我就覺得力道就稍微那個氣勢力道就稍微的差了一點這是第一個 我要提的這個極端的部分第二個對於政策 他敢不敢去沈繼昌我的看法 我在這裡這麼久沈繼昌完全不敢
transcript.whisperx[17].start 401.071
transcript.whisperx[17].end 424.1
transcript.whisperx[17].text 幾乎不敢 比如說這兩天我們的發電我們的備轉容量剩下3.8%橘色很可怕可能很快變成紅燈橘燈變紅燈變黑燈就確定了 審計部要不要介入這時候要不要介入 什麼問題
transcript.whisperx[18].start 426.161
transcript.whisperx[18].end 447.66
transcript.whisperx[18].text 現在可以用的都用了 新達電廠用了 林口電廠用了 頭農用了 電不夠我沒有看到神機部對這個事情有什麼看法因為現在立法院修會 沒有立法院的壓力 他就沒有動
transcript.whisperx[19].start 448.68
transcript.whisperx[19].end 471.109
transcript.whisperx[19].text 我覺得比較遺憾的在這裡當然立法院壓力給他 我要承認講我們只要告訴他 要做這個 要做那個 他會做而且做了這個效果 這個數字也都呈現所以我給他的是 我是很客觀的講在人員領域的表現 他叫誠實中立 揭露不足他很誠實 很中立
transcript.whisperx[20].start 476.089
transcript.whisperx[20].end 503.365
transcript.whisperx[20].text 那升級長要中立嘛 可是揭露不出比如說 我再講一個具體的 河市河市我都記得很清楚啊有一次我要專門 我個人喔這個開車道 也不是說我開車啦 反正有人給我開開到去找河市 我們要參觀河市場
transcript.whisperx[21].start 505.475
transcript.whisperx[21].end 530.942
transcript.whisperx[21].text 結果找不到牌子啊他連牌子都拆掉了我找不到地方進去啊裡面好大好大區好大找不到牌子進去後來才發現有一個小小的牌子何時才能夠進去看這樣的一個場我們的馬秀魯教授我很尊敬的我們政大的同事馬教授啊這麼專業當過監委當過監委嘛都很清楚啊
transcript.whisperx[22].start 534.925
transcript.whisperx[22].end 553.534
transcript.whisperx[22].text 這個會計準則 你都合適報廢掉了將近3000億的資產 為什麼要掛在資產當然你應該掛負債啊你要掛負債的話 你資產幾乎等於零了剩下就是一些 你當作破的爛鐵去賣可能剩100億吧 剩150億吧但是你也要掛將近3000億 2800多億的資產
transcript.whisperx[23].start 560.599
transcript.whisperx[23].end 586.792
transcript.whisperx[23].text 這個老實講這個能夠通過我們會計準則嘛像這個道道地地省計長的責任但是呢他還沒有講他就是模模糊糊他的話是這樣子我念給大家聽查核核四停建後龐大資產未減損督促經濟部處置這說這聽不懂啊我查到了你們自己去處理啊所以啊
transcript.whisperx[24].start 588.593
transcript.whisperx[24].end 606.34
transcript.whisperx[24].text 這個 這個 我們的審計上啊第一個 主動性不夠第二個 務虛大於務實因為實際上的東西 我覺得不是太夠那麼 當然啦 這個我最後的投票 要投 YES 或者 NO下午的諮詢 我再來決定謝謝