iVOD / 166280

Field Value
IVOD_ID 166280
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/166280
日期 2025-12-10
會議資料.會議代碼 聯席會議-11-4-36,20-1
會議資料.會議代碼:str 第11屆第4會期司法及法制、財政委員會第1次聯席會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 1
會議資料.種類 聯席會議
會議資料.委員會代碼[0] 36
會議資料.委員會代碼[1] 20
會議資料.委員會代碼:str[0] 司法及法制委員會
會議資料.委員會代碼:str[1] 財政委員會
會議資料.標題 第11屆第4會期司法及法制、財政委員會第1次聯席會議
影片種類 Clip
開始時間 2025-12-10T10:20:10+08:00
結束時間 2025-12-10T10:30:38+08:00
影片長度 00:10:28
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/a128e1119a2c25c09ae86c0a1cc98f8da68b3568d601d3dc44a569ea12001d97849987ba386f8b6b5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鍾佳濱
委員發言時間 10:20:10 - 10:30:38
會議時間 2025-12-10T09:00:00+08:00
會議名稱 立法院第11屆第4會期司法及法制、財政委員會第1次聯席會議(事由:審查監察院函請審議「審計部組織法第七條、第十條及第十四條條文修正草案」案。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 2.98409375
transcript.pyannote[0].end 3.08534375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 3.28784375
transcript.pyannote[1].end 6.05534375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 9.00846875
transcript.pyannote[2].end 22.64346875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 22.69409375
transcript.pyannote[3].end 26.50784375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 28.04346875
transcript.pyannote[4].end 32.68409375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 33.24096875
transcript.pyannote[5].end 39.46784375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 39.51846875
transcript.pyannote[6].end 40.10909375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 40.05846875
transcript.pyannote[7].end 54.58784375
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 51.55034375
transcript.pyannote[8].end 52.02284375
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 54.58784375
transcript.pyannote[9].end 55.22909375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 55.04346875
transcript.pyannote[10].end 64.54409375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 64.94909375
transcript.pyannote[11].end 73.28534375
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 73.16721875
transcript.pyannote[12].end 73.72409375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 73.43721875
transcript.pyannote[13].end 82.87034375
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 83.03909375
transcript.pyannote[14].end 83.79846875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 83.79846875
transcript.pyannote[15].end 86.66721875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 86.93721875
transcript.pyannote[16].end 90.54846875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 91.03784375
transcript.pyannote[17].end 91.83096875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 91.25721875
transcript.pyannote[18].end 91.30784375
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 91.30784375
transcript.pyannote[19].end 93.38346875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 93.38346875
transcript.pyannote[20].end 93.46784375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 93.38346875
transcript.pyannote[21].end 101.33159375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 101.93909375
transcript.pyannote[22].end 108.43596875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 108.87471875
transcript.pyannote[23].end 113.26221875
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 113.68409375
transcript.pyannote[24].end 114.76409375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 114.76409375
transcript.pyannote[25].end 118.64534375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 118.74659375
transcript.pyannote[26].end 130.91346875
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 131.50409375
transcript.pyannote[27].end 146.80971875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 146.80971875
transcript.pyannote[28].end 168.83159375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 157.49159375
transcript.pyannote[29].end 157.50846875
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 157.50846875
transcript.pyannote[30].end 157.55909375
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 168.93284375
transcript.pyannote[31].end 169.84409375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 169.27034375
transcript.pyannote[32].end 170.19846875
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 170.23221875
transcript.pyannote[33].end 172.05471875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 170.72159375
transcript.pyannote[34].end 171.22784375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 171.56534375
transcript.pyannote[35].end 173.40471875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 173.97846875
transcript.pyannote[36].end 174.87284375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 174.97409375
transcript.pyannote[37].end 177.89346875
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 177.89346875
transcript.pyannote[38].end 177.97784375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 177.97784375
transcript.pyannote[39].end 180.35721875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 178.46721875
transcript.pyannote[40].end 181.35284375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 180.47534375
transcript.pyannote[41].end 181.31909375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 181.35284375
transcript.pyannote[42].end 181.36971875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 181.53846875
transcript.pyannote[43].end 218.22471875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 194.09346875
transcript.pyannote[44].end 194.46471875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 218.34284375
transcript.pyannote[45].end 218.59596875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 218.59596875
transcript.pyannote[46].end 221.43096875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 219.20346875
transcript.pyannote[47].end 219.23721875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 221.43096875
transcript.pyannote[48].end 222.37596875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 221.46471875
transcript.pyannote[49].end 221.85284375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 222.46034375
transcript.pyannote[50].end 256.22721875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 237.54659375
transcript.pyannote[51].end 237.56346875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 237.56346875
transcript.pyannote[52].end 238.01909375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 238.01909375
transcript.pyannote[53].end 238.06971875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 238.54221875
transcript.pyannote[54].end 238.59284375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 240.95534375
transcript.pyannote[55].end 241.22534375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 256.66596875
transcript.pyannote[56].end 258.53909375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 258.79221875
transcript.pyannote[57].end 260.05784375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 260.71596875
transcript.pyannote[58].end 265.15409375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 263.34846875
transcript.pyannote[59].end 263.44971875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 265.22159375
transcript.pyannote[60].end 268.42784375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 267.92159375
transcript.pyannote[61].end 271.26284375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 269.82846875
transcript.pyannote[62].end 270.28409375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 271.26284375
transcript.pyannote[63].end 271.29659375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 271.75221875
transcript.pyannote[64].end 271.83659375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 271.83659375
transcript.pyannote[65].end 271.87034375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 271.87034375
transcript.pyannote[66].end 271.95471875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 271.95471875
transcript.pyannote[67].end 271.98846875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 271.98846875
transcript.pyannote[68].end 272.46096875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 272.46096875
transcript.pyannote[69].end 272.52846875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 272.52846875
transcript.pyannote[70].end 272.54534375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 272.54534375
transcript.pyannote[71].end 272.57909375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 272.57909375
transcript.pyannote[72].end 272.59596875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 272.59596875
transcript.pyannote[73].end 272.78159375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 272.78159375
transcript.pyannote[74].end 272.93346875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 272.93346875
transcript.pyannote[75].end 272.95034375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 272.95034375
transcript.pyannote[76].end 274.67159375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 273.38909375
transcript.pyannote[77].end 275.83596875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 275.83596875
transcript.pyannote[78].end 277.18596875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 277.03409375
transcript.pyannote[79].end 277.38846875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 277.32096875
transcript.pyannote[80].end 278.13096875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 278.78909375
transcript.pyannote[81].end 281.72534375
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 281.72534375
transcript.pyannote[82].end 284.44221875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 282.73784375
transcript.pyannote[83].end 284.07096875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 284.35784375
transcript.pyannote[84].end 289.90971875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 290.63534375
transcript.pyannote[85].end 290.97284375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 290.97284375
transcript.pyannote[86].end 291.27659375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 291.27659375
transcript.pyannote[87].end 296.47409375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 296.76096875
transcript.pyannote[88].end 296.77784375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 296.77784375
transcript.pyannote[89].end 301.01346875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 301.01346875
transcript.pyannote[90].end 311.54346875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 311.94846875
transcript.pyannote[91].end 315.17159375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 315.28971875
transcript.pyannote[92].end 322.44471875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 323.32221875
transcript.pyannote[93].end 323.82846875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 324.70596875
transcript.pyannote[94].end 326.44409375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 326.25846875
transcript.pyannote[95].end 327.10221875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 327.10221875
transcript.pyannote[96].end 327.30471875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 327.30471875
transcript.pyannote[97].end 327.89534375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 327.40596875
transcript.pyannote[98].end 339.69096875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 339.69096875
transcript.pyannote[99].end 382.97534375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 343.09971875
transcript.pyannote[100].end 344.88846875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 345.39471875
transcript.pyannote[101].end 345.46221875
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 349.90034375
transcript.pyannote[102].end 350.22096875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 383.46471875
transcript.pyannote[103].end 386.40096875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 387.24471875
transcript.pyannote[104].end 393.38721875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 394.46721875
transcript.pyannote[105].end 398.26409375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 398.98971875
transcript.pyannote[106].end 405.03096875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 405.03096875
transcript.pyannote[107].end 414.19409375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 407.81534375
transcript.pyannote[108].end 409.41846875
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 414.19409375
transcript.pyannote[109].end 414.37971875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 414.36284375
transcript.pyannote[110].end 433.85346875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 414.39659375
transcript.pyannote[111].end 414.44721875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 433.85346875
transcript.pyannote[112].end 448.02846875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 448.02846875
transcript.pyannote[113].end 460.97159375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 460.97159375
transcript.pyannote[114].end 460.98846875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 461.07284375
transcript.pyannote[115].end 478.55534375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 471.06284375
transcript.pyannote[116].end 471.09659375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 471.09659375
transcript.pyannote[117].end 471.48471875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 476.88471875
transcript.pyannote[118].end 477.28971875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 478.55534375
transcript.pyannote[119].end 487.31346875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 487.97159375
transcript.pyannote[120].end 488.96721875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 488.96721875
transcript.pyannote[121].end 490.53659375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 490.84034375
transcript.pyannote[122].end 495.46409375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 495.46409375
transcript.pyannote[123].end 495.80159375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 495.49784375
transcript.pyannote[124].end 495.78471875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 495.80159375
transcript.pyannote[125].end 496.29096875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 496.29096875
transcript.pyannote[126].end 500.57721875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 500.98221875
transcript.pyannote[127].end 501.11721875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 501.11721875
transcript.pyannote[128].end 501.23534375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 501.23534375
transcript.pyannote[129].end 501.58971875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 501.58971875
transcript.pyannote[130].end 501.64034375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 501.64034375
transcript.pyannote[131].end 505.08284375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 505.90971875
transcript.pyannote[132].end 513.31784375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 513.65534375
transcript.pyannote[133].end 514.21221875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 515.47784375
transcript.pyannote[134].end 519.61221875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 519.96659375
transcript.pyannote[135].end 525.72096875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 526.34534375
transcript.pyannote[136].end 529.16346875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 529.16346875
transcript.pyannote[137].end 529.18034375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 530.07471875
transcript.pyannote[138].end 538.22534375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 536.01471875
transcript.pyannote[139].end 536.21721875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 537.82034375
transcript.pyannote[140].end 547.97909375
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 548.29971875
transcript.pyannote[141].end 550.24034375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 550.71284375
transcript.pyannote[142].end 553.46346875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 553.75034375
transcript.pyannote[143].end 574.08471875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 562.64346875
transcript.pyannote[144].end 564.07784375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 574.59096875
transcript.pyannote[145].end 574.60784375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 574.60784375
transcript.pyannote[146].end 591.66846875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 592.64721875
transcript.pyannote[147].end 593.27159375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 593.37284375
transcript.pyannote[148].end 614.16284375
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 597.50721875
transcript.pyannote[149].end 598.84034375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 602.13096875
transcript.pyannote[150].end 604.00409375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 610.06221875
transcript.pyannote[151].end 610.95659375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 611.36159375
transcript.pyannote[152].end 612.01971875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 613.23471875
transcript.pyannote[153].end 614.06159375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 614.16284375
transcript.pyannote[154].end 616.25534375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 616.18784375
transcript.pyannote[155].end 618.21284375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 618.21284375
transcript.pyannote[156].end 619.78221875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 619.83284375
transcript.pyannote[157].end 625.48596875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 626.32971875
transcript.pyannote[158].end 626.85284375
transcript.whisperx[0].start 3.305
transcript.whisperx[0].end 5.887
transcript.whisperx[0].text 好 那有請 欸 等一下 來 中央兵委員來主席 在場委員 先進列席總局幹事長 官員會長 工作夥伴媒體記者女士先生先讓那個 沈記長 喘口氣我們請 權敘部的王司長和任總的廖專門委員好 權敘部法規司司長還有任總的專委 謝謝
transcript.whisperx[1].start 28.086
transcript.whisperx[1].end 53.258
transcript.whisperx[1].text 好來請教一下我看全序部市長我看你們的意見第一你們對於政治政務副省級長你們是尊重嗎那你們對於所謂的這個檢任官二級單位主管的原額設置你們好像覺得比例上不符合我們相關的規定是不是相關是70%目前會變成150%
transcript.whisperx[2].start 55.639
transcript.whisperx[2].end 73.484
transcript.whisperx[2].text 但是我看你们提到14条的部分你们认为这个所谓的相较于地方直辖市的一级机关首长那么中央的三级机关首长与他上属横平嘛所以列12到13之等你们觉得OK吗是
transcript.whisperx[3].start 74.224
transcript.whisperx[3].end 90.214
transcript.whisperx[3].text 那所以你們看起來的意見只有一個地方是認為說不應該定在我們上級機關的組織法應該定在下級機關的組織規程嘛是那審議長都清楚了嘛所以應該不會有那麼大的一個情緒啦是不是
transcript.whisperx[4].start 91.135
transcript.whisperx[4].end 112.918
transcript.whisperx[4].text 你們認為這樣是好那我們再確認一下因為我看到我們今天很難得我們看到考試院跟這個監察院的機關之間的意見不同但是我看也還好來我現在問問任總來任總專委請教一下我看你們的意見對於政治政務副審計長也沒有也尊重嗎
transcript.whisperx[5].start 113.986
transcript.whisperx[5].end 130.727
transcript.whisperx[5].text 是委員那你們認為我們行政院有一個韓式對不對106年1月24號那認為監察院考證與行政組織相似也定有組織法所以呢你們認為呢可以參照這個基準法規的規定是不是這樣子
transcript.whisperx[6].start 132.349
transcript.whisperx[6].end 156.983
transcript.whisperx[6].text 報告委員 原則上是省紀部這邊的修法他有說要參考基準法的規範那因為我們這邊是說如果是用準用的規範的話是要全部適用但是如果有特殊例外的話可以續明他的理由好 那特殊例外您特別提到中華民國憲法第104條 省紀長有總統提名這個跟其他的行政院的一級機關二級行政機關的時候很不同對不對
transcript.whisperx[7].start 158.044
transcript.whisperx[7].end 172.078
transcript.whisperx[7].text 所以在行政院二級機關首長他底下所轄的這些三級機關跟省紀長他作為很特殊的跟行政院二級機關所不同的地方你認為可以特殊考量嗎看起來是這樣吧是 就看省紀部他的好 謝謝好 那我們請省紀長
transcript.whisperx[8].start 174.182
transcript.whisperx[8].end 179.824
transcript.whisperx[8].text 兩位先回 沈記長這樣聽得清楚嗎 他們都沒反對啦沒反對喔你聽說他們你們這個沈記長是有總統提名由立法院同意來任命的比起行政院的二級機關的首長來講這個還不一樣喔 你還特別喔所以你底下的這些下級機關怎麼設置
transcript.whisperx[9].start 197.108
transcript.whisperx[9].end 221.528
transcript.whisperx[9].text 是應該可以有另外的考量好 那我現在開始問本題了首先我們看第一頁來 還是從事我每次問審計長都要把審計部門講一遍你的職長呢是事後權 是監督預算的執行審核財務的收支還有要怎麼樣要去稽查不法跟不中於職務的行為要考核效能 要核定責任 對不對對所以這三個是你的重要責任嘛你常常提醒啦 所以我練之再之
transcript.whisperx[10].start 222.729
transcript.whisperx[10].end 240.719
transcript.whisperx[10].text 是啦 是啦 你应该比我熟啦我们往下看来 你们这组执法第7条第10条第14条第1条呢第7条是讲说是副省进场二至三人目前我们的规定是一至三人嘛其中一人得列为常务嘛你们现在两人都是常务嘛所以可以征涉一个证物的嘛OK 好
transcript.whisperx[11].start 241.96
transcript.whisperx[11].end 247.387
transcript.whisperx[11].text 那再來呢你們提到這個審計法第10條你們的審計官現在問題來了審計官你們希望擴增審計的人力那還有審計官要兼任地方的審計處長好 顯然的你要擴充人力你要讓你的審計官可以去地方擔任處長是這樣的意思嗎
transcript.whisperx[12].start 260.728
transcript.whisperx[12].end 289.549
transcript.whisperx[12].text 他本來就是損機關就是監地方處就監任但是我們看到其他機關的意見是說你幹嘛用監任你用專任的啊專任的夠不夠這是我損系的特性因為我的損系是要出去查賬要出去查賬好 那我請教一下他的特性好 來 沈議長你聽過三個臭皮匠勝過一個諸葛亮有沒有聽過有聽過嘛那如果是三個臭皮匠勝過一個諸葛亮那如果對上兩個諸葛亮你覺得哪邊比較贏
transcript.whisperx[13].start 290.806
transcript.whisperx[13].end 311.268
transcript.whisperx[13].text 這個沒算過沒有算過 好 那你認為你跟副審計長誰是諸葛亮 誰是臭皮匠都扮演了相互的角色我是意思說如果是審計長是諸葛亮你有兩個副審計長現在你希望有多一個副審計長有三個臭皮匠就可以勝過你這個諸葛亮你同意嗎
transcript.whisperx[14].start 312.99
transcript.whisperx[14].end 339.527
transcript.whisperx[14].text 應該同意他們都比我有經驗老到好 但是呢如果說你把你兩個副審計長都變成跟你一樣的是諸葛亮你還需要第三個臭皮匠嗎這是這樣啦 大家這是數學問題啦因為委員在其實啊 我就這個增加一個委員在財政委員會希望我加強監督地方我想出的方法之一
transcript.whisperx[15].start 339.787
transcript.whisperx[15].end 349.311
transcript.whisperx[15].text 所以這個不是三個臭皮匠也不是兩個諸葛亮的問題是因為要有特殊業務的關係你第三個副審計長是要證物是要列為什麼數位審計對不對所以因為職長不同專長不同所以你希望就像說不能只靠兩個諸葛亮你還有什麼要照雲要有關羽有不同的專業負責是不是這樣的意思對好所以呢既不是諸葛亮也不是臭皮匠你要增加副審計長有照雲
transcript.whisperx[16].start 367.357
transcript.whisperx[16].end 393.073
transcript.whisperx[16].text 這個奧子棚有關雲場的來協助好不好OK 好 我們下看來 那你擴增審計人力因為你認為政府收支上升業務複雜化還有跨越跟前瞻的審計所以根據目前我們要很嚴格 好像請教一下如果你地方的審計長說哎呀 不用增加那麼多人啦不用增加10個人審計長 你不用幫我增加10個人你只要增加5個人薪水通通給我我就幫你把事情幹好 你覺得有可能嗎
transcript.whisperx[17].start 394.52
transcript.whisperx[17].end 413.626
transcript.whisperx[17].text 因為不可能 因為現在整個損盡事啊平均才十三個 十四個損盡人力所以是人力不夠 不是能力不夠對不對基本人力都不足會造成我確定一下 你認為是人力不夠不是能力不夠 也不是薪水不夠
transcript.whisperx[18].start 414.466
transcript.whisperx[18].end 429.443
transcript.whisperx[18].text 好 那我問一下假如今天有立法委員說立法院組織法給我8到14個助理要花掉50萬一個月那你不用給我那麼多助理你50萬給我我就可以把事情搞定你覺得這樣符合你剛剛講的是人力的問題還是能力的問題還是薪水的問題你覺得勒
transcript.whisperx[19].start 434.068
transcript.whisperx[19].end 460.632
transcript.whisperx[19].text 助理在立法案已經形成非常重要的一環是和立法案息息相關幫助立法委員幫助國家處理很多事情所以助理的東西我們還是要善待所以呢你認為是應該維持助理8到14名的編制這樣的人力而不是說把他的錢交給立委統籌運用就可以達到同樣的立法效能是這樣的意思嗎
transcript.whisperx[20].start 461.152
transcript.whisperx[20].end 464.714
transcript.whisperx[20].text 要做一個訴求 要順書所立不能說處理了這個事情造成發生了另外一個問題所以我們這樣的話反而會這個對整個功能或怎麼樣要去考慮評評非常重要那又有委員的修法要把這個改成補助兩個字補助補助在我們審計當中它的會計屬性是什麼
transcript.whisperx[21].start 488.784
transcript.whisperx[21].end 502.131
transcript.whisperx[21].text 補助就是說 這個是多少給予補助要不要審計 要不要做平均核銷 簡均核銷任何國家的財動 國家的資源 我們都審計
transcript.whisperx[22].start 506.073
transcript.whisperx[22].end 525.626
transcript.whisperx[22].text 來 我要看主計處 主計總處 黃政委員是不是所有政府的補助款 這個科目下的補助款都要列入檢據核銷 是不是是 好 可以 謝謝 來 我們看一下 來 陳議長你看一下目前的修法是說通通這些50萬一個月的助理費用交給立委統籌運用免檢據核銷這個符合我們主計跟審計相關的規定嗎
transcript.whisperx[23].start 530.1
transcript.whisperx[23].end 547.528
transcript.whisperx[23].text 免檢劇核銷但是他的錢到哪裡我們還是會注意我們在實際的立場還會注意你說法律規定免檢劇核銷你們還可以查到他的用途你們這麼厲害那既然這麼厲害通通不用檢劇核銷你們用心電感應就知道這個錢有沒有花去了是不是這樣嗎
transcript.whisperx[24].start 548.288
transcript.whisperx[24].end 573.803
transcript.whisperx[24].text 因為有免檢劇核銷啊有這樣的話我們會尊重立法立法院如果寫免檢劇核銷你們也尊重但是你們要用心電感應去了解委員有沒有自肥是不是因為我會用數位審計你會用數位審計所以你要告訴陳毅任委員如果委員要自肥你就算法律訂了免檢劇核銷我審計長還是有辦法用透過我的數位查到你的錢流到哪裡去是這樣的意思嗎
transcript.whisperx[25].start 574.845
transcript.whisperx[25].end 591.467
transcript.whisperx[25].text 這個免檢劇核銷可能要慎重要慎重好來最後的結論對於未來如果立法有提到補助款用免於檢劇核銷的幽靈補助如何進行有效審計你說你很厲害你有數位審計三個月內給我提出一個報告告訴我你怎麼做好不好
transcript.whisperx[26].start 592.719
transcript.whisperx[26].end 619.355
transcript.whisperx[26].text 可以嗎因為啊 還沒有成為事實我們都不用成為事實啊我只要本院有可能立一個法補助款免減去核銷就已經寫在新聞上面了你要趕快提早因應啊能夠雙贏好 雙贏 那你提早因應 萬一過了你三個月也到了 報告就寫出來了我們就可以告訴立法院說立法院委員陳玉珍 你不用先你做得到嗎 三個月提出一個報告能夠讓他放心 因為
transcript.whisperx[27].start 619.915
transcript.whisperx[27].end 625.341
transcript.whisperx[27].text 好啦 那我就問問嘛你有效審計監督你做得到嗎 三個月 提個報告給我們好不好好 謝謝