| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5185545278ec5b40501741c6bf0096671bbb2820cd090d8fe343af858ec305550f546765d3498e985ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
陳俊宇 |
| 委員發言時間 |
16:07:29 - 16:27:56 |
| 影片長度 |
1227 |
| 會議時間 |
2024-11-26T09:00:00+08:00 |
| 會議名稱 |
第11屆第2會期第1次全院委員會（事由：總統咨，為考試院第十三屆院長、副院長及考試委員任期於113年8月31日屆滿，茲依據憲法增修條文第6條第2項規定，提名周弘憲為考試院第十四屆院長，許舒翔為考試院第十四屆副院長，邱文彥、鄧家基、王秀紅、呂秋慧、柯麗鈴、黃東益、伊萬．納威Iwan Nawi 7位為考試院第十四屆考試委員，咨請同意案。） |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
18.61034375 |
| transcript.pyannote[0].end |
27.41909375 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
27.97596875 |
| transcript.pyannote[1].end |
29.37659375 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
32.68409375 |
| transcript.pyannote[2].end |
33.51096875 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
33.29159375 |
| transcript.pyannote[3].end |
33.37596875 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
33.51096875 |
| transcript.pyannote[4].end |
34.55721875 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
33.52784375 |
| transcript.pyannote[5].end |
33.56159375 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
35.90721875 |
| transcript.pyannote[6].end |
75.17534375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
36.07596875 |
| transcript.pyannote[7].end |
36.14346875 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
41.67846875 |
| transcript.pyannote[8].end |
41.69534375 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
75.54659375 |
| transcript.pyannote[9].end |
95.10471875 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
95.59409375 |
| transcript.pyannote[10].end |
98.46284375 |
| transcript.pyannote[11].speaker |
SPEAKER_01 |
| transcript.pyannote[11].start |
98.58096875 |
| transcript.pyannote[11].end |
102.20909375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
103.96409375 |
| transcript.pyannote[12].end |
105.41534375 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
105.75284375 |
| transcript.pyannote[13].end |
106.44471875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
106.98471875 |
| transcript.pyannote[14].end |
110.03909375 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
110.46096875 |
| transcript.pyannote[15].end |
131.74034375 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
132.19596875 |
| transcript.pyannote[16].end |
137.20784375 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
137.71409375 |
| transcript.pyannote[17].end |
147.06284375 |
| transcript.pyannote[18].speaker |
SPEAKER_01 |
| transcript.pyannote[18].start |
147.87284375 |
| transcript.pyannote[18].end |
157.03596875 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
157.84596875 |
| transcript.pyannote[19].end |
159.51659375 |
| transcript.pyannote[20].speaker |
SPEAKER_01 |
| transcript.pyannote[20].start |
159.60096875 |
| transcript.pyannote[20].end |
161.67659375 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
162.19971875 |
| transcript.pyannote[21].end |
176.34096875 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
176.84721875 |
| transcript.pyannote[22].end |
177.77534375 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
178.21409375 |
| transcript.pyannote[23].end |
180.86346875 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
181.13346875 |
| transcript.pyannote[24].end |
184.82909375 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
185.18346875 |
| transcript.pyannote[25].end |
188.57534375 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
188.72721875 |
| transcript.pyannote[26].end |
195.81471875 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
197.35034375 |
| transcript.pyannote[27].end |
201.43409375 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
201.77159375 |
| transcript.pyannote[28].end |
205.18034375 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
205.53471875 |
| transcript.pyannote[29].end |
209.66909375 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
210.04034375 |
| transcript.pyannote[30].end |
215.82846875 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
216.16596875 |
| transcript.pyannote[31].end |
218.88284375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
218.96721875 |
| transcript.pyannote[32].end |
221.39721875 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
221.80221875 |
| transcript.pyannote[33].end |
223.59096875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
223.67534375 |
| transcript.pyannote[34].end |
228.80534375 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
230.12159375 |
| transcript.pyannote[35].end |
230.59409375 |
| transcript.pyannote[36].speaker |
SPEAKER_01 |
| transcript.pyannote[36].start |
230.91471875 |
| transcript.pyannote[36].end |
238.72784375 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
239.16659375 |
| transcript.pyannote[37].end |
240.06096875 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
240.34784375 |
| transcript.pyannote[38].end |
240.82034375 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
241.59659375 |
| transcript.pyannote[39].end |
242.55846875 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
242.72721875 |
| transcript.pyannote[40].end |
243.45284375 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
243.90846875 |
| transcript.pyannote[41].end |
244.38096875 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
244.65096875 |
| transcript.pyannote[42].end |
245.98409375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
246.05159375 |
| transcript.pyannote[43].end |
247.72221875 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
248.00909375 |
| transcript.pyannote[44].end |
249.39284375 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
249.94971875 |
| transcript.pyannote[45].end |
252.81846875 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
253.07159375 |
| transcript.pyannote[46].end |
254.86034375 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
255.23159375 |
| transcript.pyannote[47].end |
258.91034375 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
259.38284375 |
| transcript.pyannote[48].end |
262.20096875 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
262.94346875 |
| transcript.pyannote[49].end |
267.07784375 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
267.28034375 |
| transcript.pyannote[50].end |
268.29284375 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
268.54596875 |
| transcript.pyannote[51].end |
268.84971875 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
269.13659375 |
| transcript.pyannote[52].end |
274.87409375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
275.16096875 |
| transcript.pyannote[53].end |
277.81034375 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
278.11409375 |
| transcript.pyannote[54].end |
279.37971875 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
279.71721875 |
| transcript.pyannote[55].end |
281.42159375 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
282.06284375 |
| transcript.pyannote[56].end |
282.41721875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
282.94034375 |
| transcript.pyannote[57].end |
286.06221875 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
286.58534375 |
| transcript.pyannote[58].end |
288.55971875 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
288.94784375 |
| transcript.pyannote[59].end |
290.04471875 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
290.66909375 |
| transcript.pyannote[60].end |
292.44096875 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
292.72784375 |
| transcript.pyannote[61].end |
293.84159375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
294.43221875 |
| transcript.pyannote[62].end |
296.59221875 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
296.98034375 |
| transcript.pyannote[63].end |
298.16159375 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
298.46534375 |
| transcript.pyannote[64].end |
302.66721875 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
302.97096875 |
| transcript.pyannote[65].end |
304.00034375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
304.06784375 |
| transcript.pyannote[66].end |
305.95784375 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
306.05909375 |
| transcript.pyannote[67].end |
309.14721875 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
309.56909375 |
| transcript.pyannote[68].end |
311.54346875 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
312.26909375 |
| transcript.pyannote[69].end |
326.76471875 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
327.54096875 |
| transcript.pyannote[70].end |
341.27721875 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
341.37846875 |
| transcript.pyannote[71].end |
369.27284375 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
369.35721875 |
| transcript.pyannote[72].end |
372.15846875 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
372.29346875 |
| transcript.pyannote[73].end |
381.69284375 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
382.55346875 |
| transcript.pyannote[74].end |
383.09346875 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
383.66721875 |
| transcript.pyannote[75].end |
386.16471875 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
386.67096875 |
| transcript.pyannote[76].end |
394.41659375 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
394.75409375 |
| transcript.pyannote[77].end |
397.40346875 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
397.67346875 |
| transcript.pyannote[78].end |
402.38159375 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
402.92159375 |
| transcript.pyannote[79].end |
404.86221875 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
405.19971875 |
| transcript.pyannote[80].end |
408.52409375 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
409.30034375 |
| transcript.pyannote[81].end |
414.43034375 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
414.70034375 |
| transcript.pyannote[82].end |
416.11784375 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
416.48909375 |
| transcript.pyannote[83].end |
417.80534375 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
418.05846875 |
| transcript.pyannote[84].end |
418.59846875 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
418.83471875 |
| transcript.pyannote[85].end |
421.34909375 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
421.58534375 |
| transcript.pyannote[86].end |
423.32346875 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
423.59346875 |
| transcript.pyannote[87].end |
425.19659375 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
425.38221875 |
| transcript.pyannote[88].end |
425.90534375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
426.44534375 |
| transcript.pyannote[89].end |
426.91784375 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
427.06971875 |
| transcript.pyannote[90].end |
430.34346875 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
430.56284375 |
| transcript.pyannote[91].end |
431.30534375 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
431.64284375 |
| transcript.pyannote[92].end |
434.76471875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
435.01784375 |
| transcript.pyannote[93].end |
438.13971875 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
438.47721875 |
| transcript.pyannote[94].end |
441.48096875 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
441.66659375 |
| transcript.pyannote[95].end |
442.62846875 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
442.93221875 |
| transcript.pyannote[96].end |
443.43846875 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
443.80971875 |
| transcript.pyannote[97].end |
446.18909375 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
446.39159375 |
| transcript.pyannote[98].end |
449.19284375 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
449.56409375 |
| transcript.pyannote[99].end |
450.13784375 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
450.28971875 |
| transcript.pyannote[100].end |
456.92159375 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
457.68096875 |
| transcript.pyannote[101].end |
464.98784375 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
465.13971875 |
| transcript.pyannote[102].end |
467.68784375 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
467.82284375 |
| transcript.pyannote[103].end |
494.85659375 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
495.32909375 |
| transcript.pyannote[104].end |
550.07159375 |
| transcript.pyannote[105].speaker |
SPEAKER_01 |
| transcript.pyannote[105].start |
550.34159375 |
| transcript.pyannote[105].end |
552.04596875 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
552.36659375 |
| transcript.pyannote[106].end |
553.68284375 |
| transcript.pyannote[107].speaker |
SPEAKER_01 |
| transcript.pyannote[107].start |
554.17221875 |
| transcript.pyannote[107].end |
556.33221875 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
556.66971875 |
| transcript.pyannote[108].end |
580.85159375 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
581.84721875 |
| transcript.pyannote[109].end |
582.15096875 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
582.75846875 |
| transcript.pyannote[110].end |
587.12909375 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
587.61846875 |
| transcript.pyannote[111].end |
592.32659375 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
592.46159375 |
| transcript.pyannote[112].end |
594.70596875 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
595.14471875 |
| transcript.pyannote[113].end |
595.54971875 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
596.35971875 |
| transcript.pyannote[114].end |
597.06846875 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
597.10221875 |
| transcript.pyannote[115].end |
600.10596875 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
600.66284375 |
| transcript.pyannote[116].end |
605.20221875 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
605.59034375 |
| transcript.pyannote[117].end |
611.14221875 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
611.51346875 |
| transcript.pyannote[118].end |
614.26409375 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
615.00659375 |
| transcript.pyannote[119].end |
616.28909375 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
616.49159375 |
| transcript.pyannote[120].end |
618.68534375 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
618.97221875 |
| transcript.pyannote[121].end |
622.21221875 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
622.65096875 |
| transcript.pyannote[122].end |
624.42284375 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
624.67596875 |
| transcript.pyannote[123].end |
629.65409375 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
630.07596875 |
| transcript.pyannote[124].end |
634.42971875 |
| transcript.pyannote[125].speaker |
SPEAKER_00 |
| transcript.pyannote[125].start |
634.69971875 |
| transcript.pyannote[125].end |
635.40846875 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
636.28596875 |
| transcript.pyannote[126].end |
639.61034375 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
639.77909375 |
| transcript.pyannote[127].end |
643.79534375 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
644.23409375 |
| transcript.pyannote[128].end |
645.60096875 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
646.37721875 |
| transcript.pyannote[129].end |
651.03471875 |
| transcript.pyannote[130].speaker |
SPEAKER_00 |
| transcript.pyannote[130].start |
651.45659375 |
| transcript.pyannote[130].end |
656.29971875 |
| transcript.pyannote[131].speaker |
SPEAKER_00 |
| transcript.pyannote[131].start |
656.68784375 |
| transcript.pyannote[131].end |
660.01221875 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
660.33284375 |
| transcript.pyannote[132].end |
663.92721875 |
| transcript.pyannote[133].speaker |
SPEAKER_00 |
| transcript.pyannote[133].start |
664.48409375 |
| transcript.pyannote[133].end |
668.09534375 |
| transcript.pyannote[134].speaker |
SPEAKER_00 |
| transcript.pyannote[134].start |
668.17971875 |
| transcript.pyannote[134].end |
671.28471875 |
| transcript.pyannote[135].speaker |
SPEAKER_00 |
| transcript.pyannote[135].start |
671.68971875 |
| transcript.pyannote[135].end |
672.73596875 |
| transcript.pyannote[136].speaker |
SPEAKER_00 |
| transcript.pyannote[136].start |
673.24221875 |
| transcript.pyannote[136].end |
675.45284375 |
| transcript.pyannote[137].speaker |
SPEAKER_00 |
| transcript.pyannote[137].start |
675.60471875 |
| transcript.pyannote[137].end |
676.09409375 |
| transcript.pyannote[138].speaker |
SPEAKER_00 |
| transcript.pyannote[138].start |
676.53284375 |
| transcript.pyannote[138].end |
677.10659375 |
| transcript.pyannote[139].speaker |
SPEAKER_00 |
| transcript.pyannote[139].start |
677.95034375 |
| transcript.pyannote[139].end |
679.31721875 |
| transcript.pyannote[140].speaker |
SPEAKER_00 |
| transcript.pyannote[140].start |
679.80659375 |
| transcript.pyannote[140].end |
684.07596875 |
| transcript.pyannote[141].speaker |
SPEAKER_00 |
| transcript.pyannote[141].start |
684.34596875 |
| transcript.pyannote[141].end |
686.43846875 |
| transcript.pyannote[142].speaker |
SPEAKER_01 |
| transcript.pyannote[142].start |
688.00784375 |
| transcript.pyannote[142].end |
688.41284375 |
| transcript.pyannote[143].speaker |
SPEAKER_01 |
| transcript.pyannote[143].start |
688.81784375 |
| transcript.pyannote[143].end |
698.87534375 |
| transcript.pyannote[144].speaker |
SPEAKER_01 |
| transcript.pyannote[144].start |
699.12846875 |
| transcript.pyannote[144].end |
701.28846875 |
| transcript.pyannote[145].speaker |
SPEAKER_01 |
| transcript.pyannote[145].start |
701.98034375 |
| transcript.pyannote[145].end |
705.13596875 |
| transcript.pyannote[146].speaker |
SPEAKER_01 |
| transcript.pyannote[146].start |
705.28784375 |
| transcript.pyannote[146].end |
711.02534375 |
| transcript.pyannote[147].speaker |
SPEAKER_01 |
| transcript.pyannote[147].start |
711.16034375 |
| transcript.pyannote[147].end |
711.71721875 |
| transcript.pyannote[148].speaker |
SPEAKER_01 |
| transcript.pyannote[148].start |
712.25721875 |
| transcript.pyannote[148].end |
718.21409375 |
| transcript.pyannote[149].speaker |
SPEAKER_01 |
| transcript.pyannote[149].start |
718.73721875 |
| transcript.pyannote[149].end |
721.62284375 |
| transcript.pyannote[150].speaker |
SPEAKER_01 |
| transcript.pyannote[150].start |
722.04471875 |
| transcript.pyannote[150].end |
723.46221875 |
| transcript.pyannote[151].speaker |
SPEAKER_01 |
| transcript.pyannote[151].start |
723.71534375 |
| transcript.pyannote[151].end |
726.48284375 |
| transcript.pyannote[152].speaker |
SPEAKER_01 |
| transcript.pyannote[152].start |
726.97221875 |
| transcript.pyannote[152].end |
730.63409375 |
| transcript.pyannote[153].speaker |
SPEAKER_01 |
| transcript.pyannote[153].start |
731.25846875 |
| transcript.pyannote[153].end |
759.38909375 |
| transcript.pyannote[154].speaker |
SPEAKER_00 |
| transcript.pyannote[154].start |
759.79409375 |
| transcript.pyannote[154].end |
759.91221875 |
| transcript.pyannote[155].speaker |
SPEAKER_00 |
| transcript.pyannote[155].start |
760.48596875 |
| transcript.pyannote[155].end |
761.04284375 |
| transcript.pyannote[156].speaker |
SPEAKER_00 |
| transcript.pyannote[156].start |
761.58284375 |
| transcript.pyannote[156].end |
763.37159375 |
| transcript.pyannote[157].speaker |
SPEAKER_00 |
| transcript.pyannote[157].start |
764.28284375 |
| transcript.pyannote[157].end |
769.29471875 |
| transcript.pyannote[158].speaker |
SPEAKER_00 |
| transcript.pyannote[158].start |
769.95284375 |
| transcript.pyannote[158].end |
770.44221875 |
| transcript.pyannote[159].speaker |
SPEAKER_00 |
| transcript.pyannote[159].start |
771.52221875 |
| transcript.pyannote[159].end |
771.99471875 |
| transcript.pyannote[160].speaker |
SPEAKER_00 |
| transcript.pyannote[160].start |
772.46721875 |
| transcript.pyannote[160].end |
777.74909375 |
| transcript.pyannote[161].speaker |
SPEAKER_00 |
| transcript.pyannote[161].start |
778.10346875 |
| transcript.pyannote[161].end |
781.88346875 |
| transcript.pyannote[162].speaker |
SPEAKER_00 |
| transcript.pyannote[162].start |
782.52471875 |
| transcript.pyannote[162].end |
786.16971875 |
| transcript.pyannote[163].speaker |
SPEAKER_00 |
| transcript.pyannote[163].start |
786.23721875 |
| transcript.pyannote[163].end |
790.79346875 |
| transcript.pyannote[164].speaker |
SPEAKER_00 |
| transcript.pyannote[164].start |
791.18159375 |
| transcript.pyannote[164].end |
792.14346875 |
| transcript.pyannote[165].speaker |
SPEAKER_00 |
| transcript.pyannote[165].start |
792.51471875 |
| transcript.pyannote[165].end |
793.94909375 |
| transcript.pyannote[166].speaker |
SPEAKER_00 |
| transcript.pyannote[166].start |
794.16846875 |
| transcript.pyannote[166].end |
794.97846875 |
| transcript.pyannote[167].speaker |
SPEAKER_00 |
| transcript.pyannote[167].start |
795.24846875 |
| transcript.pyannote[167].end |
799.02846875 |
| transcript.pyannote[168].speaker |
SPEAKER_00 |
| transcript.pyannote[168].start |
799.26471875 |
| transcript.pyannote[168].end |
802.70721875 |
| transcript.pyannote[169].speaker |
SPEAKER_00 |
| transcript.pyannote[169].start |
802.84221875 |
| transcript.pyannote[169].end |
805.33971875 |
| transcript.pyannote[170].speaker |
SPEAKER_00 |
| transcript.pyannote[170].start |
805.60971875 |
| transcript.pyannote[170].end |
808.79909375 |
| transcript.pyannote[171].speaker |
SPEAKER_00 |
| transcript.pyannote[171].start |
809.13659375 |
| transcript.pyannote[171].end |
814.48596875 |
| transcript.pyannote[172].speaker |
SPEAKER_00 |
| transcript.pyannote[172].start |
815.02596875 |
| transcript.pyannote[172].end |
819.04221875 |
| transcript.pyannote[173].speaker |
SPEAKER_00 |
| transcript.pyannote[173].start |
819.48096875 |
| transcript.pyannote[173].end |
820.98284375 |
| transcript.pyannote[174].speaker |
SPEAKER_00 |
| transcript.pyannote[174].start |
821.08409375 |
| transcript.pyannote[174].end |
821.97846875 |
| transcript.pyannote[175].speaker |
SPEAKER_00 |
| transcript.pyannote[175].start |
822.14721875 |
| transcript.pyannote[175].end |
823.32846875 |
| transcript.pyannote[176].speaker |
SPEAKER_00 |
| transcript.pyannote[176].start |
823.58159375 |
| transcript.pyannote[176].end |
825.80909375 |
| transcript.pyannote[177].speaker |
SPEAKER_00 |
| transcript.pyannote[177].start |
826.21409375 |
| transcript.pyannote[177].end |
826.77096875 |
| transcript.pyannote[178].speaker |
SPEAKER_00 |
| transcript.pyannote[178].start |
827.53034375 |
| transcript.pyannote[178].end |
829.26846875 |
| transcript.pyannote[179].speaker |
SPEAKER_00 |
| transcript.pyannote[179].start |
829.60596875 |
| transcript.pyannote[179].end |
830.17971875 |
| transcript.pyannote[180].speaker |
SPEAKER_00 |
| transcript.pyannote[180].start |
830.46659375 |
| transcript.pyannote[180].end |
833.95971875 |
| transcript.pyannote[181].speaker |
SPEAKER_00 |
| transcript.pyannote[181].start |
834.56721875 |
| transcript.pyannote[181].end |
836.57534375 |
| transcript.pyannote[182].speaker |
SPEAKER_00 |
| transcript.pyannote[182].start |
836.96346875 |
| transcript.pyannote[182].end |
837.38534375 |
| transcript.pyannote[183].speaker |
SPEAKER_00 |
| transcript.pyannote[183].start |
837.43596875 |
| transcript.pyannote[183].end |
838.38096875 |
| transcript.pyannote[184].speaker |
SPEAKER_00 |
| transcript.pyannote[184].start |
839.59596875 |
| transcript.pyannote[184].end |
841.28346875 |
| transcript.pyannote[185].speaker |
SPEAKER_00 |
| transcript.pyannote[185].start |
841.53659375 |
| transcript.pyannote[185].end |
842.34659375 |
| transcript.pyannote[186].speaker |
SPEAKER_00 |
| transcript.pyannote[186].start |
842.53221875 |
| transcript.pyannote[186].end |
842.98784375 |
| transcript.pyannote[187].speaker |
SPEAKER_00 |
| transcript.pyannote[187].start |
843.62909375 |
| transcript.pyannote[187].end |
846.16034375 |
| transcript.pyannote[188].speaker |
SPEAKER_00 |
| transcript.pyannote[188].start |
846.46409375 |
| transcript.pyannote[188].end |
847.71284375 |
| transcript.pyannote[189].speaker |
SPEAKER_00 |
| transcript.pyannote[189].start |
848.15159375 |
| transcript.pyannote[189].end |
850.04159375 |
| transcript.pyannote[190].speaker |
SPEAKER_00 |
| transcript.pyannote[190].start |
850.34534375 |
| transcript.pyannote[190].end |
851.50971875 |
| transcript.pyannote[191].speaker |
SPEAKER_00 |
| transcript.pyannote[191].start |
851.56034375 |
| transcript.pyannote[191].end |
853.80471875 |
| transcript.pyannote[192].speaker |
SPEAKER_00 |
| transcript.pyannote[192].start |
854.86784375 |
| transcript.pyannote[192].end |
855.88034375 |
| transcript.pyannote[193].speaker |
SPEAKER_00 |
| transcript.pyannote[193].start |
856.26846875 |
| transcript.pyannote[193].end |
856.79159375 |
| transcript.pyannote[194].speaker |
SPEAKER_00 |
| transcript.pyannote[194].start |
857.26409375 |
| transcript.pyannote[194].end |
862.12409375 |
| transcript.pyannote[195].speaker |
SPEAKER_00 |
| transcript.pyannote[195].start |
862.42784375 |
| transcript.pyannote[195].end |
867.70971875 |
| transcript.pyannote[196].speaker |
SPEAKER_00 |
| transcript.pyannote[196].start |
868.35096875 |
| transcript.pyannote[196].end |
872.04659375 |
| transcript.pyannote[197].speaker |
SPEAKER_00 |
| transcript.pyannote[197].start |
872.36721875 |
| transcript.pyannote[197].end |
875.70846875 |
| transcript.pyannote[198].speaker |
SPEAKER_00 |
| transcript.pyannote[198].start |
876.09659375 |
| transcript.pyannote[198].end |
877.58159375 |
| transcript.pyannote[199].speaker |
SPEAKER_00 |
| transcript.pyannote[199].start |
877.93596875 |
| transcript.pyannote[199].end |
881.85096875 |
| transcript.pyannote[200].speaker |
SPEAKER_00 |
| transcript.pyannote[200].start |
882.45846875 |
| transcript.pyannote[200].end |
887.92596875 |
| transcript.pyannote[201].speaker |
SPEAKER_00 |
| transcript.pyannote[201].start |
888.22971875 |
| transcript.pyannote[201].end |
890.92971875 |
| transcript.pyannote[202].speaker |
SPEAKER_00 |
| transcript.pyannote[202].start |
891.92534375 |
| transcript.pyannote[202].end |
892.09409375 |
| transcript.pyannote[203].speaker |
SPEAKER_01 |
| transcript.pyannote[203].start |
893.00534375 |
| transcript.pyannote[203].end |
899.80596875 |
| transcript.pyannote[204].speaker |
SPEAKER_01 |
| transcript.pyannote[204].start |
900.56534375 |
| transcript.pyannote[204].end |
905.30721875 |
| transcript.pyannote[205].speaker |
SPEAKER_01 |
| transcript.pyannote[205].start |
905.83034375 |
| transcript.pyannote[205].end |
912.49596875 |
| transcript.pyannote[206].speaker |
SPEAKER_01 |
| transcript.pyannote[206].start |
912.81659375 |
| transcript.pyannote[206].end |
915.02721875 |
| transcript.pyannote[207].speaker |
SPEAKER_01 |
| transcript.pyannote[207].start |
915.43221875 |
| transcript.pyannote[207].end |
923.46471875 |
| transcript.pyannote[208].speaker |
SPEAKER_01 |
| transcript.pyannote[208].start |
924.10596875 |
| transcript.pyannote[208].end |
932.44221875 |
| transcript.pyannote[209].speaker |
SPEAKER_01 |
| transcript.pyannote[209].start |
932.94846875 |
| transcript.pyannote[209].end |
948.64221875 |
| transcript.pyannote[210].speaker |
SPEAKER_01 |
| transcript.pyannote[210].start |
949.16534375 |
| transcript.pyannote[210].end |
950.83596875 |
| transcript.pyannote[211].speaker |
SPEAKER_01 |
| transcript.pyannote[211].start |
951.37596875 |
| transcript.pyannote[211].end |
970.15784375 |
| transcript.pyannote[212].speaker |
SPEAKER_01 |
| transcript.pyannote[212].start |
970.56284375 |
| transcript.pyannote[212].end |
971.01846875 |
| transcript.pyannote[213].speaker |
SPEAKER_01 |
| transcript.pyannote[213].start |
971.60909375 |
| transcript.pyannote[213].end |
980.80596875 |
| transcript.pyannote[214].speaker |
SPEAKER_00 |
| transcript.pyannote[214].start |
982.18971875 |
| transcript.pyannote[214].end |
982.62846875 |
| transcript.pyannote[215].speaker |
SPEAKER_00 |
| transcript.pyannote[215].start |
983.05034375 |
| transcript.pyannote[215].end |
992.02784375 |
| transcript.pyannote[216].speaker |
SPEAKER_00 |
| transcript.pyannote[216].start |
992.43284375 |
| transcript.pyannote[216].end |
999.73971875 |
| transcript.pyannote[217].speaker |
SPEAKER_00 |
| transcript.pyannote[217].start |
1000.26284375 |
| transcript.pyannote[217].end |
1004.70096875 |
| transcript.pyannote[218].speaker |
SPEAKER_00 |
| transcript.pyannote[218].start |
1004.80221875 |
| transcript.pyannote[218].end |
1005.71346875 |
| transcript.pyannote[219].speaker |
SPEAKER_00 |
| transcript.pyannote[219].start |
1005.98346875 |
| transcript.pyannote[219].end |
1008.26159375 |
| transcript.pyannote[220].speaker |
SPEAKER_00 |
| transcript.pyannote[220].start |
1008.64971875 |
| transcript.pyannote[220].end |
1009.10534375 |
| transcript.pyannote[221].speaker |
SPEAKER_00 |
| transcript.pyannote[221].start |
1009.44284375 |
| transcript.pyannote[221].end |
1009.99971875 |
| transcript.pyannote[222].speaker |
SPEAKER_00 |
| transcript.pyannote[222].start |
1010.43846875 |
| transcript.pyannote[222].end |
1013.47596875 |
| transcript.pyannote[223].speaker |
SPEAKER_00 |
| transcript.pyannote[223].start |
1013.94846875 |
| transcript.pyannote[223].end |
1017.99846875 |
| transcript.pyannote[224].speaker |
SPEAKER_00 |
| transcript.pyannote[224].start |
1018.25159375 |
| transcript.pyannote[224].end |
1021.76159375 |
| transcript.pyannote[225].speaker |
SPEAKER_00 |
| transcript.pyannote[225].start |
1022.18346875 |
| transcript.pyannote[225].end |
1023.82034375 |
| transcript.pyannote[226].speaker |
SPEAKER_00 |
| transcript.pyannote[226].start |
1024.10721875 |
| transcript.pyannote[226].end |
1026.06471875 |
| transcript.pyannote[227].speaker |
SPEAKER_00 |
| transcript.pyannote[227].start |
1026.26721875 |
| transcript.pyannote[227].end |
1029.60846875 |
| transcript.pyannote[228].speaker |
SPEAKER_00 |
| transcript.pyannote[228].start |
1029.96284375 |
| transcript.pyannote[228].end |
1035.31221875 |
| transcript.pyannote[229].speaker |
SPEAKER_00 |
| transcript.pyannote[229].start |
1035.83534375 |
| transcript.pyannote[229].end |
1037.10096875 |
| transcript.pyannote[230].speaker |
SPEAKER_00 |
| transcript.pyannote[230].start |
1037.37096875 |
| transcript.pyannote[230].end |
1040.08784375 |
| transcript.pyannote[231].speaker |
SPEAKER_00 |
| transcript.pyannote[231].start |
1040.59409375 |
| transcript.pyannote[231].end |
1041.10034375 |
| transcript.pyannote[232].speaker |
SPEAKER_00 |
| transcript.pyannote[232].start |
1041.40409375 |
| transcript.pyannote[232].end |
1043.41221875 |
| transcript.pyannote[233].speaker |
SPEAKER_00 |
| transcript.pyannote[233].start |
1043.98596875 |
| transcript.pyannote[233].end |
1047.36096875 |
| transcript.pyannote[234].speaker |
SPEAKER_00 |
| transcript.pyannote[234].start |
1047.64784375 |
| transcript.pyannote[234].end |
1048.98096875 |
| transcript.pyannote[235].speaker |
SPEAKER_00 |
| transcript.pyannote[235].start |
1049.35221875 |
| transcript.pyannote[235].end |
1054.85346875 |
| transcript.pyannote[236].speaker |
SPEAKER_00 |
| transcript.pyannote[236].start |
1055.15721875 |
| transcript.pyannote[236].end |
1057.01346875 |
| transcript.pyannote[237].speaker |
SPEAKER_00 |
| transcript.pyannote[237].start |
1057.38471875 |
| transcript.pyannote[237].end |
1058.02596875 |
| transcript.pyannote[238].speaker |
SPEAKER_00 |
| transcript.pyannote[238].start |
1058.66721875 |
| transcript.pyannote[238].end |
1059.30846875 |
| transcript.pyannote[239].speaker |
SPEAKER_00 |
| transcript.pyannote[239].start |
1059.64596875 |
| transcript.pyannote[239].end |
1060.30409375 |
| transcript.pyannote[240].speaker |
SPEAKER_00 |
| transcript.pyannote[240].start |
1061.01284375 |
| transcript.pyannote[240].end |
1061.43471875 |
| transcript.pyannote[241].speaker |
SPEAKER_00 |
| transcript.pyannote[241].start |
1061.72159375 |
| transcript.pyannote[241].end |
1068.80909375 |
| transcript.pyannote[242].speaker |
SPEAKER_00 |
| transcript.pyannote[242].start |
1069.12971875 |
| transcript.pyannote[242].end |
1070.58096875 |
| transcript.pyannote[243].speaker |
SPEAKER_00 |
| transcript.pyannote[243].start |
1070.91846875 |
| transcript.pyannote[243].end |
1075.81221875 |
| transcript.pyannote[244].speaker |
SPEAKER_00 |
| transcript.pyannote[244].start |
1076.40284375 |
| transcript.pyannote[244].end |
1080.16596875 |
| transcript.pyannote[245].speaker |
SPEAKER_00 |
| transcript.pyannote[245].start |
1080.48659375 |
| transcript.pyannote[245].end |
1081.29659375 |
| transcript.pyannote[246].speaker |
SPEAKER_00 |
| transcript.pyannote[246].start |
1081.68471875 |
| transcript.pyannote[246].end |
1082.83221875 |
| transcript.pyannote[247].speaker |
SPEAKER_00 |
| transcript.pyannote[247].start |
1083.01784375 |
| transcript.pyannote[247].end |
1087.54034375 |
| transcript.pyannote[248].speaker |
SPEAKER_00 |
| transcript.pyannote[248].start |
1087.79346875 |
| transcript.pyannote[248].end |
1089.48096875 |
| transcript.pyannote[249].speaker |
SPEAKER_00 |
| transcript.pyannote[249].start |
1089.83534375 |
| transcript.pyannote[249].end |
1091.25284375 |
| transcript.pyannote[250].speaker |
SPEAKER_00 |
| transcript.pyannote[250].start |
1091.50596875 |
| transcript.pyannote[250].end |
1099.08284375 |
| transcript.pyannote[251].speaker |
SPEAKER_00 |
| transcript.pyannote[251].start |
1099.26846875 |
| transcript.pyannote[251].end |
1101.88409375 |
| transcript.pyannote[252].speaker |
SPEAKER_00 |
| transcript.pyannote[252].start |
1102.06971875 |
| transcript.pyannote[252].end |
1104.24659375 |
| transcript.pyannote[253].speaker |
SPEAKER_00 |
| transcript.pyannote[253].start |
1104.28034375 |
| transcript.pyannote[253].end |
1104.41534375 |
| transcript.pyannote[254].speaker |
SPEAKER_01 |
| transcript.pyannote[254].start |
1105.10721875 |
| transcript.pyannote[254].end |
1111.94159375 |
| transcript.pyannote[255].speaker |
SPEAKER_01 |
| transcript.pyannote[255].start |
1112.24534375 |
| transcript.pyannote[255].end |
1147.42971875 |
| transcript.pyannote[256].speaker |
SPEAKER_00 |
| transcript.pyannote[256].start |
1147.78409375 |
| transcript.pyannote[256].end |
1148.96534375 |
| transcript.pyannote[257].speaker |
SPEAKER_00 |
| transcript.pyannote[257].start |
1149.13409375 |
| transcript.pyannote[257].end |
1149.52221875 |
| transcript.pyannote[258].speaker |
SPEAKER_00 |
| transcript.pyannote[258].start |
1149.87659375 |
| transcript.pyannote[258].end |
1153.36971875 |
| transcript.pyannote[259].speaker |
SPEAKER_01 |
| transcript.pyannote[259].start |
1154.50034375 |
| transcript.pyannote[259].end |
1195.32096875 |
| transcript.pyannote[260].speaker |
SPEAKER_01 |
| transcript.pyannote[260].start |
1195.60784375 |
| transcript.pyannote[260].end |
1213.44471875 |
| transcript.pyannote[261].speaker |
SPEAKER_01 |
| transcript.pyannote[261].start |
1213.54596875 |
| transcript.pyannote[261].end |
1215.72284375 |
| transcript.pyannote[262].speaker |
SPEAKER_00 |
| transcript.pyannote[262].start |
1214.13659375 |
| transcript.pyannote[262].end |
1214.17034375 |
| transcript.pyannote[263].speaker |
SPEAKER_00 |
| transcript.pyannote[263].start |
1214.18721875 |
| transcript.pyannote[263].end |
1215.30096875 |
| transcript.pyannote[264].speaker |
SPEAKER_01 |
| transcript.pyannote[264].start |
1216.29659375 |
| transcript.pyannote[264].end |
1217.42721875 |
| transcript.pyannote[265].speaker |
SPEAKER_01 |
| transcript.pyannote[265].start |
1220.51534375 |
| transcript.pyannote[265].end |
1224.80159375 |
| transcript.whisperx[0].start |
18.646 |
| transcript.whisperx[0].end |
33.016 |
| transcript.whisperx[0].text |
好 謝謝大會主席我們江副院長那有請我們考試院我們許副院長被提名人請被提名人大家許副院長吳安 |
| transcript.whisperx[1].start |
35.987 |
| transcript.whisperx[1].end |
56.264 |
| transcript.whisperx[1].text |
首先要恭喜您被提名為我們本屆次考試院的副院長那未來將承擔起健全文官體系的一個重責大任那考試院作為我們憲法所規定的一個最高考試機關同時也掌握了整個公部門的一個人事法制 |
| transcript.whisperx[2].start |
57.337 |
| transcript.whisperx[2].end |
77.471 |
| transcript.whisperx[2].text |
對於提升國家整體公部門的效能以及保障公務人員的權利負有一個非常重大的義務我們也期待懸缺已久的考試院正副院長還有委員都能夠順利的通過審查讓憲政機關的運作能夠儘早回歸常態也讓我們考試院的相關業務和議案能夠順利的來推展 |
| transcript.whisperx[3].start |
87.356 |
| transcript.whisperx[3].end |
114.817 |
| transcript.whisperx[3].text |
對於下個月12月17號我們將舉行同意全案的投票我想請教我們副院長您被提名之後,您認為有沒有信心可以通過審查我們當然希望大院委員能夠全力支持,謝謝好,那我在此也先預祝預祝我們所有被提名的都能夠順利過關 |
| transcript.whisperx[4].start |
117.011 |
| transcript.whisperx[4].end |
136.684 |
| transcript.whisperx[4].text |
由於今天是這個人事同意權的一個審查我想就被提名人我們副院長您個人的部分來做詢問那從您這個自傳裡面的敘述我們這個整個經歷來看從這個美國公讀碩博士回國之後就投入教職 |
| transcript.whisperx[5].start |
138.366 |
| transcript.whisperx[5].end |
156.565 |
| transcript.whisperx[5].text |
8年前從教址轉入到公部門來服務在考選部先後擔任過次長及部長的職務與您上午所審查的院長被提名人周弘憲先生過去8年你們都是在考試院共事 |
| transcript.whisperx[6].start |
158.018 |
| transcript.whisperx[6].end |
177.118 |
| transcript.whisperx[6].text |
您負責考試選才的相關業務我們的院長被提名者則是在權序和人事行政的經驗方面兩位之間的資歷和專業恰好互補或許在形式作風上也能夠相輔相成想問 |
| transcript.whisperx[7].start |
178.451 |
| transcript.whisperx[7].end |
199.304 |
| transcript.whisperx[7].text |
想請教您的就是未來許副院長您跟周院長的搭配能為考試院帶來何種創新的一個變革以及還有兩位作為考試院的一個正副院長在推動政務上是否有共同的一個理念各位報告我想 |
| transcript.whisperx[8].start |
199.912 |
| transcript.whisperx[8].end |
228.637 |
| transcript.whisperx[8].text |
我跟昨院長貝提名人在考試院有八年的共識的經驗我們之間對於推動相關公務體系的相關的改革都有非常高度的共識事實上各項的配合溝通也都沒有問題所以未來有機會我進入考試院一定會全力來協助我們院長跟所有考試委員大家一起來努力 |
| transcript.whisperx[9].start |
230.185 |
| transcript.whisperx[9].end |
247.413 |
| transcript.whisperx[9].text |
那我想請教那副院長您個人有沒有比較想要達成什麼樣的一個設定的一個目標個人方面我想這個當然未來希望在整個公務體系的 |
| transcript.whisperx[10].start |
248.029 |
| transcript.whisperx[10].end |
268.038 |
| transcript.whisperx[10].text |
我希望這個建制能夠讓年輕人因為我過去負責招考所以希望年輕公務員進入公務體系之後他們會願意待在公部門所以怎麼樣建立一個更友善對年輕人友善的工作環境我想這一方面 |
| transcript.whisperx[11].start |
269.599 |
| transcript.whisperx[11].end |
289.386 |
| transcript.whisperx[11].text |
我希望能夠有所琢磨所以我們也希望能夠在基礎信念這個部分因為考試入期之後還有一個基礎信念的過程能夠讓他們有更認知到作為公務員的一個重要性在這一方面的一個培訓 |
| transcript.whisperx[12].start |
290.706 |
| transcript.whisperx[12].end |
292.047 |
| transcript.whisperx[12].text |
考試院在多年來的政策轉型和變革之下 |
| transcript.whisperx[13].start |
320.706 |
| transcript.whisperx[13].end |
345.575 |
| transcript.whisperx[13].text |
執掌的代表重要性是不可被替代的往往會受到社會大眾的質疑到了這個2024年的今天考試院的存廢仍然是被廣泛討論的一個議題之一雖然在現在的立法院三黨不過半的情況仍然有許多的委員表達支持廢除考監的想法 |
| transcript.whisperx[14].start |
346.315 |
| transcript.whisperx[14].end |
364.356 |
| transcript.whisperx[14].text |
當然對於這個憲政架構的一個變革需要審慎的討論並不是一時一刻就能夠完成但若在本屆國會能夠有一個凝聚共識成功修憲寧可能會是我們這個考試院一個末代的副院長 |
| transcript.whisperx[15].start |
365.55 |
| transcript.whisperx[15].end |
380.165 |
| transcript.whisperx[15].text |
作為政治學背景的副院長您被提名對五權或是三權分立的這個主張是什麼是不是也能就您個人的一個意見對考試院存廢的議題來做一個簡單的回應 |
| transcript.whisperx[16].start |
383.769 |
| transcript.whisperx[16].end |
406.78 |
| transcript.whisperx[16].text |
我想如果是我個人的見解當然我國的憲法是比較特殊是五權憲法的結構世界各國大部分是以三權分立的這種方式來設計憲法的結構所以如果是要在這一方面去做檢討我是認為應該針對五權憲法跟三權分立這個也能夠有所討論決定之後 |
| transcript.whisperx[17].start |
409.609 |
| transcript.whisperx[17].end |
425.704 |
| transcript.whisperx[17].text |
真的是不需要考試院的存在那做調整但是不管怎麼樣子現在考試院就是一個憲政機關不管是末代或什麼代反正做一天一天就是要積極努力你所努力的絕對會留下痕跡你現在做得更好這些功能 |
| transcript.whisperx[18].start |
426.502 |
| transcript.whisperx[18].end |
455.372 |
| transcript.whisperx[18].text |
未來轉換到其他機關也會持續下去不會去做這個因為你這個機關不見了這些功能就不重要的而是事實上考試院所做的事情對我們整個政府還是非常重要對公務員、對專機人員這些人才的選拔還是非常重要所以機關不同的設計我想這個部分這個不會影響到個人在一個工作崗位上每一天都應該做 |
| transcript.whisperx[19].start |
456.092 |
| transcript.whisperx[19].end |
467.525 |
| transcript.whisperx[19].text |
好大的努力好那不論是這個三權或是五權他各有他這個理論上的一個依據也要留待國會和社會共同 |
| transcript.whisperx[20].start |
468.472 |
| transcript.whisperx[20].end |
489.242 |
| transcript.whisperx[20].text |
與取得共識目前在人事行政的業務上行政院和考試院之間是否有相似重疊之處甚至在長遠運作的過程當中彼此之間的優劣如何取捨還有很多要討論的空間我想接下來還是就考試院相關長管的業務以及相關議題看法來 |
| transcript.whisperx[21].start |
495.63 |
| transcript.whisperx[21].end |
514.105 |
| transcript.whisperx[21].text |
請問我們副院長也希望您對於以下的這個問題能夠充分表達自身的一個想法和意見那我想我就先對於您最熟悉的這個考選的部分的業務來談起結合到這個當前迫切需要的要解決的相關問題 |
| transcript.whisperx[22].start |
515.336 |
| transcript.whisperx[22].end |
536.632 |
| transcript.whisperx[22].text |
我在這裡我想藉此今天的機會特別感謝您在擔任考選部長的任期當中讓這個高普考還有初等考試都能夠順利在宜蘭來增設考區落實各地考生一個權益的平等也讓宜蘭地區的這個考生不必 |
| transcript.whisperx[23].start |
537.596 |
| transcript.whisperx[23].end |
555.868 |
| transcript.whisperx[23].text |
周車勞頓趕赴雙北的考場來應考能夠就近應考當然還有許多非六都的縣市都期待考試院能夠降低考生應試相關的成本過去我們也看到國家考試為了因應 |
| transcript.whisperx[24].start |
557.652 |
| transcript.whisperx[24].end |
570.779 |
| transcript.whisperx[24].text |
資訊時代推動相關考選業務的精進其中一個就是要符合現今網路世代習慣的電腦還有數位科技使用的習慣我想請教副院長您未來擔任這個職務會如何協助加速推動國家考試的數位轉型 |
| transcript.whisperx[25].start |
583.31 |
| transcript.whisperx[25].end |
592.896 |
| transcript.whisperx[25].text |
我想應應新世代慢慢開始加入公部門新世代對應用資訊科技的能力會比較強對我來講因為現在 |
| transcript.whisperx[26].start |
597.484 |
| transcript.whisperx[26].end |
610.581 |
| transcript.whisperx[26].text |
這個年輕人也許是事實上用手寫的會比較有障礙啦如果是用這個用自信化的方式來處理也許會降低考試的障礙所以我們積極在推動電腦化測驗的這個轉型 |
| transcript.whisperx[27].start |
615.527 |
| transcript.whisperx[27].end |
635.227 |
| transcript.whisperx[27].text |
不過坦白說遭遇到的障礙也是很多因為我們沒有足夠的資源跟經費所以過去這幾年我接手部長的時候大概只有6000個電腦座位過去這幾年我跟幾位考試委員真的是每一個學校每一個大學去拜託來建制 |
| transcript.whisperx[28].start |
636.331 |
| transcript.whisperx[28].end |
650.848 |
| transcript.whisperx[28].text |
目前為止大概增加到一萬六千台但是如果是要辦理大型的考試當然還是相當不足所以這個部分未來除了座位型的那事實上有一個部分就是 |
| transcript.whisperx[29].start |
651.428 |
| transcript.whisperx[29].end |
652.109 |
| transcript.whisperx[29].text |
主席主席主席主席 |
| transcript.whisperx[30].start |
675.712 |
| transcript.whisperx[30].end |
700.34 |
| transcript.whisperx[30].text |
包括這個典事委員他在臨選作業他在命題後續的業縣等等我們都希望能夠完全走向這個自信化那在未來未來我相信剛剛副院長您所說的這個部分應該都會慢慢的一個實現跟著時代走那在未來四年您的任期當中 |
| transcript.whisperx[31].start |
702.165 |
| transcript.whisperx[31].end |
730.246 |
| transcript.whisperx[31].text |
會遇到的就是1990年這個末期網路時代出生的一些歷史代的一些學子那仍然是在就業市場中最主要的一批新學那需要由他們為政府部門來注入新的活水但是這個歷史代選擇工作的想法更多元了所重視的價值觀更存在世代的一個差異 |
| transcript.whisperx[32].start |
731.328 |
| transcript.whisperx[32].end |
758.94 |
| transcript.whisperx[32].text |
其中比較主流的說法都有提及到歷史代更注重工作與生活之間的一個平衡不接受下班之後或是在假日還要加班更期待能夠平等無階級之分的一個職場那我想請問副院長您過去有沒有跟這些歷史代的學子共識的經驗如何觀察他們所重視的相關內容 |
| transcript.whisperx[33].start |
762.104 |
| transcript.whisperx[33].end |
780.854 |
| transcript.whisperx[33].text |
我想我所接觸的歷史代的青年事實上他們都會想要做一些有意義的事情他們認為有意義的事情對於工作上面他們也希望有更多的一個選擇權 |
| transcript.whisperx[34].start |
782.614 |
| transcript.whisperx[34].end |
798.661 |
| transcript.whisperx[34].text |
所以公部門的形態那包括疫情之後事實上有很多的企業已經有一部分是居家上班這種方式所以我想公部門在招考歷史代的年輕人進入公部門之後 |
| transcript.whisperx[35].start |
799.361 |
| transcript.whisperx[35].end |
825.606 |
| transcript.whisperx[35].text |
能不能讓他們有發揮的空間讓他們有展現他們創意的這些空間跟同事之間的相處那尤其當然不希望有霸凌這種情況產生如果是有這種情況大概他就會選擇離職所以我們希望有更友善的空間來帶領那帶領一世代我想不是用指揮命令的形式而是用這個 |
| transcript.whisperx[36].start |
827.897 |
| transcript.whisperx[36].end |
849.467 |
| transcript.whisperx[36].text |
副院長、副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長及副院長 |
| transcript.whisperx[37].start |
855.192 |
| transcript.whisperx[37].end |
881.401 |
| transcript.whisperx[37].text |
莊定、工友、裡面煮飯的廚師大家一樣重要在這個委長裡面一樣重要每一個環節都要做好一教不能讓二教找到問題二教不能讓三教找到問題這樣一個團隊合作才可能把事情做好不是說用潛力來指揮可以把事情做好所以部長可以隨時進出委長部長如果常常進去說你這個怎麼那樣做那個怎麼這麼做 |
| transcript.whisperx[38].start |
882.481 |
| transcript.whisperx[38].end |
912.083 |
| transcript.whisperx[38].text |
那這個考試大概辦不下去所以我想要給公務員發揮的空間那我們希望也給年輕的公務員有適當發揮的空間那我們從這個高普考十年來的這個相關報考率砍半發現到了國考不只受到這個少子化的一個挑戰那更可能是因為多重這個因素使這個鐵飯碗失去一個吸引力 |
| transcript.whisperx[39].start |
912.93 |
| transcript.whisperx[39].end |
934.99 |
| transcript.whisperx[39].text |
不受到新鮮人所青睞過去您曾經提到可以參考其他國家的文官制度來吸引年輕人投入公職包括英國的快速升遷方案或是新加坡提早培養公務人才的相關體系但這些我們把這個制度搬回台灣來 |
| transcript.whisperx[40].start |
935.916 |
| transcript.whisperx[40].end |
960.351 |
| transcript.whisperx[40].text |
不見得能符合這個體制需求也不保證會有好的一個成效譬如考選部過去也曾經參照新加坡的這個模式推動預備文官團效果就相當的有限那但是對面對這個招募人才成效不彰的情況不會只是這個考選部就能解決相關的問題 |
| transcript.whisperx[41].start |
961.581 |
| transcript.whisperx[41].end |
980.4 |
| transcript.whisperx[41].text |
考選部若沒有及時的一個因應措施﹖對症下藥﹖未來缺乏心血的這種情況﹖可能會更加的嚴重那以院級的角度來看待這個問題您認為該如何來提高逆世代來報考我們公職的一個意願 |
| transcript.whisperx[42].start |
983.154 |
| transcript.whisperx[42].end |
1008.747 |
| transcript.whisperx[42].text |
我想一部分剛剛已經說過了我們怎麼樣讓有一個更友善讓年輕人進入部門覺得他有發揮的施展的空間而選擇留下來這部分很重要了所以當然相關的縣市人員的待遇政府也一直在調整這幾年已經調整了11%明年一定要調整4%多多少少都會有幫助都會有正向幫助那這個 |
| transcript.whisperx[43].start |
1010.715 |
| transcript.whisperx[43].end |
1025.673 |
| transcript.whisperx[43].text |
跟學校的部分我們也在加強合作以前大概很少跟考選部大概很少跟大學做合作考選部以前就是把考試辦好就好那大學生要不要來考國教考試大學生自己決定 |
| transcript.whisperx[44].start |
1026.695 |
| transcript.whisperx[44].end |
1027.496 |
| transcript.whisperx[44].text |
副院長：副院長：邱文彥： |
| transcript.whisperx[45].start |
1043.996 |
| transcript.whisperx[45].end |
1068.328 |
| transcript.whisperx[45].text |
的部分也需要人才也需要學校重視所以我們也已經開始跟學校這個就業部門來合作讓他們知道我們公務體系相關的一些遭受的這個資訊那這個在公務機關的部分我們也希望公務機關能夠協助走入校園現身搜法說你這個公務機關在做什麼 |
| transcript.whisperx[46].start |
1069.332 |
| transcript.whisperx[46].end |
1089.194 |
| transcript.whisperx[46].text |
讓他更了解他進入公部門的意義在哪裡他能夠幫人民做什麼事情不是來考試而已他可以做有價值的事情那這個在日本事實上也已經這樣做了日本的各部門在招公務人員事實上他們已經跑到企業前面去了企業還沒到大學去之前他們已經先去了 |
| transcript.whisperx[47].start |
1089.935 |
| transcript.whisperx[47].end |
1111.589 |
| transcript.whisperx[47].text |
所以我想搶人才是這個公司部門大家都很努力的那我們公部門在這一方面我想還有很多可以琢磨的地方我們也會持續再來努力那透過縣級的角度來協助部會應該也會有更有琢磨的空間好 我們政府要推動相關的這些重大的公共建設工程不能夠缺少的在 |
| transcript.whisperx[48].start |
1112.349 |
| transcript.whisperx[48].end |
1129.393 |
| transcript.whisperx[48].text |
公部門相關的專業技術人員這個問題在您擔任考選部長的時候或許沒有辦法透過單打獨鬥的方式來解決但是未來若有機會來承擔考試院副院長時希望能夠整合相關部會之間的合作 |
| transcript.whisperx[49].start |
1130.45 |
| transcript.whisperx[49].end |
1157.822 |
| transcript.whisperx[49].text |
就如同您口頭所報告的內容裡面深知教、考、訓、用之間連結的相關合作的一個重要性那未來是否能結合您的豐富經驗以及院級的一個高度來加強各段的之間的連結是這些跨部會的合作這部分我想我們會積極來努力那我們也希望我希望藉由您過去在考學部的相關歷練 |
| transcript.whisperx[50].start |
1159.304 |
| transcript.whisperx[50].end |
1183.79 |
| transcript.whisperx[50].text |
解決當前公部門用人的困境並且以副院長宏觀的視野能夠進行跨部會來整合甚至跨院間相關的連結在整個未來期待今天我們對於考試院相關人士的審查能夠順利經過充分的 |
| transcript.whisperx[51].start |
1187.191 |
| transcript.whisperx[51].end |
1203.074 |
| transcript.whisperx[51].text |
這個意見交換之後我相信副院長被提名人您也已經做足了相關的準備工作期待能夠結合過去的相關歷練馬上進入狀況相讓我們院長共同來完善文官體制 |
| transcript.whisperx[52].start |
1203.687 |
| transcript.whisperx[52].end |
1224.008 |
| transcript.whisperx[52].text |
也讓我們考試院能夠作為稱職的一個人力資源部門也作為我們全國公務人員的一個最堅實的一個後盾以上是 謝謝副院長好 謝謝陳委員謝謝貝提米爾下一位請林思敏委員詢問 |
| IVOD_ID |
157448 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/157448 |
| 日期 |
2024-11-26 |
| 影片種類 |
Clip |
| 開始時間 |
2024-11-26T16:07:29+08:00 |
| 結束時間 |
2024-11-26T16:27:56+08:00 |
| 支援功能[0] |
ai-transcript |