| IVOD_ID |
168339 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/168339 |
| 日期 |
2026-04-09 |
| 會議資料.會議代碼 |
委員會-11-5-35-8 |
| 會議資料.會議代碼:str |
第11屆第5會期外交及國防委員會第8次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
5 |
| 會議資料.會次 |
8 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
35 |
| 會議資料.委員會代碼:str[0] |
外交及國防委員會 |
| 會議資料.標題 |
第11屆第5會期外交及國防委員會第8次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2026-04-09T10:02:20+08:00 |
| 結束時間 |
2026-04-09T10:13:19+08:00 |
| 影片長度 |
00:10:59 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/fe6424cd58e46bc7e1370a90f73ded50fa1e45401cc1f5858ce3249aa741ed41cd073220c318363b5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
王定宇 |
| 委員發言時間 |
10:02:20 - 10:13:19 |
| 會議時間 |
2026-04-09T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第5會期外交及國防委員會第8次全體委員會議(事由:邀請國軍退除役官兵輔導委員會主任委員嚴德發報告業務概況,並備質詢。) |
| transcript.pyannote[0].speaker |
SPEAKER_02 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
2.05596875 |
| transcript.pyannote[1].speaker |
SPEAKER_03 |
| transcript.pyannote[1].start |
2.54534375 |
| transcript.pyannote[1].end |
3.13596875 |
| transcript.pyannote[2].speaker |
SPEAKER_02 |
| transcript.pyannote[2].start |
4.90784375 |
| transcript.pyannote[2].end |
6.62909375 |
| transcript.pyannote[3].speaker |
SPEAKER_02 |
| transcript.pyannote[3].start |
8.19846875 |
| transcript.pyannote[3].end |
12.50159375 |
| transcript.pyannote[4].speaker |
SPEAKER_03 |
| transcript.pyannote[4].start |
8.73846875 |
| transcript.pyannote[4].end |
8.92409375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
8.92409375 |
| transcript.pyannote[5].end |
9.31221875 |
| transcript.pyannote[6].speaker |
SPEAKER_02 |
| transcript.pyannote[6].start |
13.31159375 |
| transcript.pyannote[6].end |
14.57721875 |
| transcript.pyannote[7].speaker |
SPEAKER_02 |
| transcript.pyannote[7].start |
16.23096875 |
| transcript.pyannote[7].end |
17.51346875 |
| transcript.pyannote[8].speaker |
SPEAKER_02 |
| transcript.pyannote[8].start |
18.03659375 |
| transcript.pyannote[8].end |
30.16971875 |
| transcript.pyannote[9].speaker |
SPEAKER_02 |
| transcript.pyannote[9].start |
30.28784375 |
| transcript.pyannote[9].end |
34.43909375 |
| transcript.pyannote[10].speaker |
SPEAKER_02 |
| transcript.pyannote[10].start |
34.60784375 |
| transcript.pyannote[10].end |
41.30721875 |
| transcript.pyannote[11].speaker |
SPEAKER_02 |
| transcript.pyannote[11].start |
41.67846875 |
| transcript.pyannote[11].end |
45.10409375 |
| transcript.pyannote[12].speaker |
SPEAKER_02 |
| transcript.pyannote[12].start |
45.82971875 |
| transcript.pyannote[12].end |
48.73221875 |
| transcript.pyannote[13].speaker |
SPEAKER_02 |
| transcript.pyannote[13].start |
49.01909375 |
| transcript.pyannote[13].end |
51.26346875 |
| transcript.pyannote[14].speaker |
SPEAKER_02 |
| transcript.pyannote[14].start |
51.68534375 |
| transcript.pyannote[14].end |
57.50721875 |
| transcript.pyannote[15].speaker |
SPEAKER_02 |
| transcript.pyannote[15].start |
58.78971875 |
| transcript.pyannote[15].end |
69.48846875 |
| transcript.pyannote[16].speaker |
SPEAKER_02 |
| transcript.pyannote[16].start |
69.75846875 |
| transcript.pyannote[16].end |
71.14221875 |
| transcript.pyannote[17].speaker |
SPEAKER_02 |
| transcript.pyannote[17].start |
71.68221875 |
| transcript.pyannote[17].end |
88.86096875 |
| transcript.pyannote[18].speaker |
SPEAKER_02 |
| transcript.pyannote[18].start |
89.35034375 |
| transcript.pyannote[18].end |
90.63284375 |
| transcript.pyannote[19].speaker |
SPEAKER_02 |
| transcript.pyannote[19].start |
91.07159375 |
| transcript.pyannote[19].end |
92.50596875 |
| transcript.pyannote[20].speaker |
SPEAKER_02 |
| transcript.pyannote[20].start |
92.79284375 |
| transcript.pyannote[20].end |
96.53909375 |
| transcript.pyannote[21].speaker |
SPEAKER_02 |
| transcript.pyannote[21].start |
97.12971875 |
| transcript.pyannote[21].end |
97.78784375 |
| transcript.pyannote[22].speaker |
SPEAKER_02 |
| transcript.pyannote[22].start |
98.14221875 |
| transcript.pyannote[22].end |
119.33721875 |
| transcript.pyannote[23].speaker |
SPEAKER_02 |
| transcript.pyannote[23].start |
119.84346875 |
| transcript.pyannote[23].end |
122.57721875 |
| transcript.pyannote[24].speaker |
SPEAKER_02 |
| transcript.pyannote[24].start |
122.99909375 |
| transcript.pyannote[24].end |
134.99721875 |
| transcript.pyannote[25].speaker |
SPEAKER_02 |
| transcript.pyannote[25].start |
135.38534375 |
| transcript.pyannote[25].end |
154.67346875 |
| transcript.pyannote[26].speaker |
SPEAKER_02 |
| transcript.pyannote[26].start |
154.90971875 |
| transcript.pyannote[26].end |
157.10346875 |
| transcript.pyannote[27].speaker |
SPEAKER_02 |
| transcript.pyannote[27].start |
157.35659375 |
| transcript.pyannote[27].end |
164.59596875 |
| transcript.pyannote[28].speaker |
SPEAKER_02 |
| transcript.pyannote[28].start |
165.37221875 |
| transcript.pyannote[28].end |
169.87784375 |
| transcript.pyannote[29].speaker |
SPEAKER_02 |
| transcript.pyannote[29].start |
170.58659375 |
| transcript.pyannote[29].end |
171.26159375 |
| transcript.pyannote[30].speaker |
SPEAKER_03 |
| transcript.pyannote[30].start |
171.21096875 |
| transcript.pyannote[30].end |
171.66659375 |
| transcript.pyannote[31].speaker |
SPEAKER_02 |
| transcript.pyannote[31].start |
171.85221875 |
| transcript.pyannote[31].end |
173.13471875 |
| transcript.pyannote[32].speaker |
SPEAKER_03 |
| transcript.pyannote[32].start |
171.88596875 |
| transcript.pyannote[32].end |
172.51034375 |
| transcript.pyannote[33].speaker |
SPEAKER_02 |
| transcript.pyannote[33].start |
173.16846875 |
| transcript.pyannote[33].end |
173.25284375 |
| transcript.pyannote[34].speaker |
SPEAKER_03 |
| transcript.pyannote[34].start |
173.25284375 |
| transcript.pyannote[34].end |
173.59034375 |
| transcript.pyannote[35].speaker |
SPEAKER_02 |
| transcript.pyannote[35].start |
173.32034375 |
| transcript.pyannote[35].end |
175.68284375 |
| transcript.pyannote[36].speaker |
SPEAKER_03 |
| transcript.pyannote[36].start |
175.98659375 |
| transcript.pyannote[36].end |
176.10471875 |
| transcript.pyannote[37].speaker |
SPEAKER_02 |
| transcript.pyannote[37].start |
176.66159375 |
| transcript.pyannote[37].end |
176.67846875 |
| transcript.pyannote[38].speaker |
SPEAKER_03 |
| transcript.pyannote[38].start |
176.67846875 |
| transcript.pyannote[38].end |
178.51784375 |
| transcript.pyannote[39].speaker |
SPEAKER_02 |
| transcript.pyannote[39].start |
177.53909375 |
| transcript.pyannote[39].end |
178.61909375 |
| transcript.pyannote[40].speaker |
SPEAKER_03 |
| transcript.pyannote[40].start |
178.61909375 |
| transcript.pyannote[40].end |
183.19221875 |
| transcript.pyannote[41].speaker |
SPEAKER_02 |
| transcript.pyannote[41].start |
183.07409375 |
| transcript.pyannote[41].end |
220.78971875 |
| transcript.pyannote[42].speaker |
SPEAKER_03 |
| transcript.pyannote[42].start |
187.57971875 |
| transcript.pyannote[42].end |
187.91721875 |
| transcript.pyannote[43].speaker |
SPEAKER_03 |
| transcript.pyannote[43].start |
189.33471875 |
| transcript.pyannote[43].end |
190.48221875 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
195.27471875 |
| transcript.pyannote[44].end |
195.69659375 |
| transcript.pyannote[45].speaker |
SPEAKER_03 |
| transcript.pyannote[45].start |
220.97534375 |
| transcript.pyannote[45].end |
221.65034375 |
| transcript.pyannote[46].speaker |
SPEAKER_02 |
| transcript.pyannote[46].start |
222.10596875 |
| transcript.pyannote[46].end |
234.03659375 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
234.03659375 |
| transcript.pyannote[47].end |
267.61784375 |
| transcript.pyannote[48].speaker |
SPEAKER_02 |
| transcript.pyannote[48].start |
264.96846875 |
| transcript.pyannote[48].end |
285.15096875 |
| transcript.pyannote[49].speaker |
SPEAKER_02 |
| transcript.pyannote[49].start |
285.70784375 |
| transcript.pyannote[49].end |
287.36159375 |
| transcript.pyannote[50].speaker |
SPEAKER_02 |
| transcript.pyannote[50].start |
288.55971875 |
| transcript.pyannote[50].end |
290.26409375 |
| transcript.pyannote[51].speaker |
SPEAKER_03 |
| transcript.pyannote[51].start |
290.43284375 |
| transcript.pyannote[51].end |
290.71971875 |
| transcript.pyannote[52].speaker |
SPEAKER_02 |
| transcript.pyannote[52].start |
290.56784375 |
| transcript.pyannote[52].end |
291.46221875 |
| transcript.pyannote[53].speaker |
SPEAKER_02 |
| transcript.pyannote[53].start |
291.95159375 |
| transcript.pyannote[53].end |
299.00534375 |
| transcript.pyannote[54].speaker |
SPEAKER_02 |
| transcript.pyannote[54].start |
299.15721875 |
| transcript.pyannote[54].end |
335.40471875 |
| transcript.pyannote[55].speaker |
SPEAKER_02 |
| transcript.pyannote[55].start |
335.53971875 |
| transcript.pyannote[55].end |
343.21784375 |
| transcript.pyannote[56].speaker |
SPEAKER_03 |
| transcript.pyannote[56].start |
340.45034375 |
| transcript.pyannote[56].end |
341.78346875 |
| transcript.pyannote[57].speaker |
SPEAKER_03 |
| transcript.pyannote[57].start |
342.71159375 |
| transcript.pyannote[57].end |
351.09846875 |
| transcript.pyannote[58].speaker |
SPEAKER_02 |
| transcript.pyannote[58].start |
349.30971875 |
| transcript.pyannote[58].end |
349.96784375 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
349.96784375 |
| transcript.pyannote[59].end |
350.65971875 |
| transcript.pyannote[60].speaker |
SPEAKER_03 |
| transcript.pyannote[60].start |
351.28409375 |
| transcript.pyannote[60].end |
357.03846875 |
| transcript.pyannote[61].speaker |
SPEAKER_03 |
| transcript.pyannote[61].start |
357.46034375 |
| transcript.pyannote[61].end |
365.99909375 |
| transcript.pyannote[62].speaker |
SPEAKER_03 |
| transcript.pyannote[62].start |
366.47159375 |
| transcript.pyannote[62].end |
376.32659375 |
| transcript.pyannote[63].speaker |
SPEAKER_02 |
| transcript.pyannote[63].start |
375.53346875 |
| transcript.pyannote[63].end |
378.79034375 |
| transcript.pyannote[64].speaker |
SPEAKER_03 |
| transcript.pyannote[64].start |
377.55846875 |
| transcript.pyannote[64].end |
378.65534375 |
| transcript.pyannote[65].speaker |
SPEAKER_03 |
| transcript.pyannote[65].start |
378.79034375 |
| transcript.pyannote[65].end |
378.97596875 |
| transcript.pyannote[66].speaker |
SPEAKER_02 |
| transcript.pyannote[66].start |
378.97596875 |
| transcript.pyannote[66].end |
389.06721875 |
| transcript.pyannote[67].speaker |
SPEAKER_03 |
| transcript.pyannote[67].start |
387.56534375 |
| transcript.pyannote[67].end |
389.53971875 |
| transcript.pyannote[68].speaker |
SPEAKER_02 |
| transcript.pyannote[68].start |
389.53971875 |
| transcript.pyannote[68].end |
394.87221875 |
| transcript.pyannote[69].speaker |
SPEAKER_02 |
| transcript.pyannote[69].start |
395.73284375 |
| transcript.pyannote[69].end |
396.22221875 |
| transcript.pyannote[70].speaker |
SPEAKER_02 |
| transcript.pyannote[70].start |
396.94784375 |
| transcript.pyannote[70].end |
397.84221875 |
| transcript.pyannote[71].speaker |
SPEAKER_02 |
| transcript.pyannote[71].start |
398.12909375 |
| transcript.pyannote[71].end |
410.09346875 |
| transcript.pyannote[72].speaker |
SPEAKER_02 |
| transcript.pyannote[72].start |
411.10596875 |
| transcript.pyannote[72].end |
412.03409375 |
| transcript.pyannote[73].speaker |
SPEAKER_02 |
| transcript.pyannote[73].start |
412.37159375 |
| transcript.pyannote[73].end |
419.25659375 |
| transcript.pyannote[74].speaker |
SPEAKER_02 |
| transcript.pyannote[74].start |
419.27346875 |
| transcript.pyannote[74].end |
448.78784375 |
| transcript.pyannote[75].speaker |
SPEAKER_02 |
| transcript.pyannote[75].start |
449.14221875 |
| transcript.pyannote[75].end |
449.88471875 |
| transcript.pyannote[76].speaker |
SPEAKER_02 |
| transcript.pyannote[76].start |
450.05346875 |
| transcript.pyannote[76].end |
455.14971875 |
| transcript.pyannote[77].speaker |
SPEAKER_02 |
| transcript.pyannote[77].start |
455.63909375 |
| transcript.pyannote[77].end |
462.08534375 |
| transcript.pyannote[78].speaker |
SPEAKER_02 |
| transcript.pyannote[78].start |
462.74346875 |
| transcript.pyannote[78].end |
463.50284375 |
| transcript.pyannote[79].speaker |
SPEAKER_02 |
| transcript.pyannote[79].start |
463.67159375 |
| transcript.pyannote[79].end |
468.80159375 |
| transcript.pyannote[80].speaker |
SPEAKER_02 |
| transcript.pyannote[80].start |
469.03784375 |
| transcript.pyannote[80].end |
470.86034375 |
| transcript.pyannote[81].speaker |
SPEAKER_02 |
| transcript.pyannote[81].start |
471.01221875 |
| transcript.pyannote[81].end |
471.02909375 |
| transcript.pyannote[82].speaker |
SPEAKER_02 |
| transcript.pyannote[82].start |
471.04596875 |
| transcript.pyannote[82].end |
478.30221875 |
| transcript.pyannote[83].speaker |
SPEAKER_02 |
| transcript.pyannote[83].start |
478.74096875 |
| transcript.pyannote[83].end |
479.65221875 |
| transcript.pyannote[84].speaker |
SPEAKER_02 |
| transcript.pyannote[84].start |
480.49596875 |
| transcript.pyannote[84].end |
484.83284375 |
| transcript.pyannote[85].speaker |
SPEAKER_02 |
| transcript.pyannote[85].start |
484.95096875 |
| transcript.pyannote[85].end |
491.68409375 |
| transcript.pyannote[86].speaker |
SPEAKER_02 |
| transcript.pyannote[86].start |
491.97096875 |
| transcript.pyannote[86].end |
494.46846875 |
| transcript.pyannote[87].speaker |
SPEAKER_02 |
| transcript.pyannote[87].start |
495.34596875 |
| transcript.pyannote[87].end |
496.18971875 |
| transcript.pyannote[88].speaker |
SPEAKER_03 |
| transcript.pyannote[88].start |
496.40909375 |
| transcript.pyannote[88].end |
505.97721875 |
| transcript.pyannote[89].speaker |
SPEAKER_02 |
| transcript.pyannote[89].start |
503.07471875 |
| transcript.pyannote[89].end |
504.00284375 |
| transcript.pyannote[90].speaker |
SPEAKER_02 |
| transcript.pyannote[90].start |
505.97721875 |
| transcript.pyannote[90].end |
510.87096875 |
| transcript.pyannote[91].speaker |
SPEAKER_02 |
| transcript.pyannote[91].start |
511.42784375 |
| transcript.pyannote[91].end |
512.87909375 |
| transcript.pyannote[92].speaker |
SPEAKER_02 |
| transcript.pyannote[92].start |
513.84096875 |
| transcript.pyannote[92].end |
514.24596875 |
| transcript.pyannote[93].speaker |
SPEAKER_02 |
| transcript.pyannote[93].start |
515.10659375 |
| transcript.pyannote[93].end |
515.64659375 |
| transcript.pyannote[94].speaker |
SPEAKER_03 |
| transcript.pyannote[94].start |
515.14034375 |
| transcript.pyannote[94].end |
516.10221875 |
| transcript.pyannote[95].speaker |
SPEAKER_02 |
| transcript.pyannote[95].start |
516.59159375 |
| transcript.pyannote[95].end |
523.39221875 |
| transcript.pyannote[96].speaker |
SPEAKER_02 |
| transcript.pyannote[96].start |
524.10096875 |
| transcript.pyannote[96].end |
535.98096875 |
| transcript.pyannote[97].speaker |
SPEAKER_02 |
| transcript.pyannote[97].start |
536.35221875 |
| transcript.pyannote[97].end |
538.59659375 |
| transcript.pyannote[98].speaker |
SPEAKER_02 |
| transcript.pyannote[98].start |
539.06909375 |
| transcript.pyannote[98].end |
540.55409375 |
| transcript.pyannote[99].speaker |
SPEAKER_03 |
| transcript.pyannote[99].start |
540.55409375 |
| transcript.pyannote[99].end |
540.57096875 |
| transcript.pyannote[100].speaker |
SPEAKER_03 |
| transcript.pyannote[100].start |
541.17846875 |
| transcript.pyannote[100].end |
545.75159375 |
| transcript.pyannote[101].speaker |
SPEAKER_02 |
| transcript.pyannote[101].start |
544.73909375 |
| transcript.pyannote[101].end |
545.78534375 |
| transcript.pyannote[102].speaker |
SPEAKER_03 |
| transcript.pyannote[102].start |
545.78534375 |
| transcript.pyannote[102].end |
546.13971875 |
| transcript.pyannote[103].speaker |
SPEAKER_02 |
| transcript.pyannote[103].start |
546.13971875 |
| transcript.pyannote[103].end |
546.56159375 |
| transcript.pyannote[104].speaker |
SPEAKER_03 |
| transcript.pyannote[104].start |
546.56159375 |
| transcript.pyannote[104].end |
546.57846875 |
| transcript.pyannote[105].speaker |
SPEAKER_02 |
| transcript.pyannote[105].start |
546.57846875 |
| transcript.pyannote[105].end |
550.84784375 |
| transcript.pyannote[106].speaker |
SPEAKER_03 |
| transcript.pyannote[106].start |
546.62909375 |
| transcript.pyannote[106].end |
547.08471875 |
| transcript.pyannote[107].speaker |
SPEAKER_02 |
| transcript.pyannote[107].start |
551.57346875 |
| transcript.pyannote[107].end |
555.03284375 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
555.03284375 |
| transcript.pyannote[108].end |
555.30284375 |
| transcript.pyannote[109].speaker |
SPEAKER_01 |
| transcript.pyannote[109].start |
555.53909375 |
| transcript.pyannote[109].end |
571.97534375 |
| transcript.pyannote[110].speaker |
SPEAKER_02 |
| transcript.pyannote[110].start |
555.72471875 |
| transcript.pyannote[110].end |
555.74159375 |
| transcript.pyannote[111].speaker |
SPEAKER_02 |
| transcript.pyannote[111].start |
564.38159375 |
| transcript.pyannote[111].end |
564.61784375 |
| transcript.pyannote[112].speaker |
SPEAKER_02 |
| transcript.pyannote[112].start |
565.00596875 |
| transcript.pyannote[112].end |
565.98471875 |
| transcript.pyannote[113].speaker |
SPEAKER_02 |
| transcript.pyannote[113].start |
566.84534375 |
| transcript.pyannote[113].end |
566.89596875 |
| transcript.pyannote[114].speaker |
SPEAKER_02 |
| transcript.pyannote[114].start |
566.91284375 |
| transcript.pyannote[114].end |
566.96346875 |
| transcript.pyannote[115].speaker |
SPEAKER_02 |
| transcript.pyannote[115].start |
571.97534375 |
| transcript.pyannote[115].end |
574.82721875 |
| transcript.pyannote[116].speaker |
SPEAKER_02 |
| transcript.pyannote[116].start |
575.23221875 |
| transcript.pyannote[116].end |
583.36596875 |
| transcript.pyannote[117].speaker |
SPEAKER_01 |
| transcript.pyannote[117].start |
575.87346875 |
| transcript.pyannote[117].end |
577.72971875 |
| transcript.pyannote[118].speaker |
SPEAKER_01 |
| transcript.pyannote[118].start |
578.91096875 |
| transcript.pyannote[118].end |
579.31596875 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
581.02034375 |
| transcript.pyannote[119].end |
581.03721875 |
| transcript.pyannote[120].speaker |
SPEAKER_01 |
| transcript.pyannote[120].start |
581.03721875 |
| transcript.pyannote[120].end |
581.35784375 |
| transcript.pyannote[121].speaker |
SPEAKER_02 |
| transcript.pyannote[121].start |
583.75409375 |
| transcript.pyannote[121].end |
586.03221875 |
| transcript.pyannote[122].speaker |
SPEAKER_01 |
| transcript.pyannote[122].start |
586.03221875 |
| transcript.pyannote[122].end |
586.82534375 |
| transcript.pyannote[123].speaker |
SPEAKER_02 |
| transcript.pyannote[123].start |
586.82534375 |
| transcript.pyannote[123].end |
586.87596875 |
| transcript.pyannote[124].speaker |
SPEAKER_02 |
| transcript.pyannote[124].start |
587.28096875 |
| transcript.pyannote[124].end |
587.31471875 |
| transcript.pyannote[125].speaker |
SPEAKER_01 |
| transcript.pyannote[125].start |
587.31471875 |
| transcript.pyannote[125].end |
591.04409375 |
| transcript.pyannote[126].speaker |
SPEAKER_02 |
| transcript.pyannote[126].start |
587.48346875 |
| transcript.pyannote[126].end |
587.53409375 |
| transcript.pyannote[127].speaker |
SPEAKER_02 |
| transcript.pyannote[127].start |
587.65221875 |
| transcript.pyannote[127].end |
587.70284375 |
| transcript.pyannote[128].speaker |
SPEAKER_02 |
| transcript.pyannote[128].start |
587.71971875 |
| transcript.pyannote[128].end |
587.73659375 |
| transcript.pyannote[129].speaker |
SPEAKER_02 |
| transcript.pyannote[129].start |
589.50846875 |
| transcript.pyannote[129].end |
589.96409375 |
| transcript.pyannote[130].speaker |
SPEAKER_01 |
| transcript.pyannote[130].start |
591.55034375 |
| transcript.pyannote[130].end |
593.49096875 |
| transcript.pyannote[131].speaker |
SPEAKER_01 |
| transcript.pyannote[131].start |
593.59221875 |
| transcript.pyannote[131].end |
602.35034375 |
| transcript.pyannote[132].speaker |
SPEAKER_02 |
| transcript.pyannote[132].start |
597.59159375 |
| transcript.pyannote[132].end |
597.84471875 |
| transcript.pyannote[133].speaker |
SPEAKER_01 |
| transcript.pyannote[133].start |
602.95784375 |
| transcript.pyannote[133].end |
606.33284375 |
| transcript.pyannote[134].speaker |
SPEAKER_02 |
| transcript.pyannote[134].start |
605.91096875 |
| transcript.pyannote[134].end |
608.13846875 |
| transcript.pyannote[135].speaker |
SPEAKER_02 |
| transcript.pyannote[135].start |
608.52659375 |
| transcript.pyannote[135].end |
609.65721875 |
| transcript.pyannote[136].speaker |
SPEAKER_01 |
| transcript.pyannote[136].start |
609.65721875 |
| transcript.pyannote[136].end |
611.04096875 |
| transcript.pyannote[137].speaker |
SPEAKER_02 |
| transcript.pyannote[137].start |
611.04096875 |
| transcript.pyannote[137].end |
614.61846875 |
| transcript.pyannote[138].speaker |
SPEAKER_01 |
| transcript.pyannote[138].start |
611.17596875 |
| transcript.pyannote[138].end |
611.37846875 |
| transcript.pyannote[139].speaker |
SPEAKER_01 |
| transcript.pyannote[139].start |
612.42471875 |
| transcript.pyannote[139].end |
613.16721875 |
| transcript.pyannote[140].speaker |
SPEAKER_01 |
| transcript.pyannote[140].start |
614.31471875 |
| transcript.pyannote[140].end |
614.63534375 |
| transcript.pyannote[141].speaker |
SPEAKER_02 |
| transcript.pyannote[141].start |
614.63534375 |
| transcript.pyannote[141].end |
614.93909375 |
| transcript.pyannote[142].speaker |
SPEAKER_01 |
| transcript.pyannote[142].start |
614.93909375 |
| transcript.pyannote[142].end |
625.97534375 |
| transcript.pyannote[143].speaker |
SPEAKER_02 |
| transcript.pyannote[143].start |
617.28471875 |
| transcript.pyannote[143].end |
619.63034375 |
| transcript.pyannote[144].speaker |
SPEAKER_00 |
| transcript.pyannote[144].start |
619.63034375 |
| transcript.pyannote[144].end |
619.73159375 |
| transcript.pyannote[145].speaker |
SPEAKER_02 |
| transcript.pyannote[145].start |
622.88721875 |
| transcript.pyannote[145].end |
624.38909375 |
| transcript.pyannote[146].speaker |
SPEAKER_02 |
| transcript.pyannote[146].start |
624.50721875 |
| transcript.pyannote[146].end |
624.64221875 |
| transcript.pyannote[147].speaker |
SPEAKER_02 |
| transcript.pyannote[147].start |
625.97534375 |
| transcript.pyannote[147].end |
646.95096875 |
| transcript.pyannote[148].speaker |
SPEAKER_01 |
| transcript.pyannote[148].start |
629.21534375 |
| transcript.pyannote[148].end |
630.22784375 |
| transcript.pyannote[149].speaker |
SPEAKER_00 |
| transcript.pyannote[149].start |
633.95721875 |
| transcript.pyannote[149].end |
634.66596875 |
| transcript.pyannote[150].speaker |
SPEAKER_00 |
| transcript.pyannote[150].start |
638.96909375 |
| transcript.pyannote[150].end |
639.61034375 |
| transcript.pyannote[151].speaker |
SPEAKER_02 |
| transcript.pyannote[151].start |
647.65971875 |
| transcript.pyannote[151].end |
656.89034375 |
| transcript.pyannote[152].speaker |
SPEAKER_03 |
| transcript.pyannote[152].start |
655.94534375 |
| transcript.pyannote[152].end |
657.56534375 |
| transcript.whisperx[0].start |
0.349 |
| transcript.whisperx[0].end |
10.734 |
| transcript.whisperx[0].text |
主席麻煩主委請主委主委怎麼感覺好像好久不見了主席應該常常排退府會來報告才對這個 |
| transcript.whisperx[1].start |
16.294 |
| transcript.whisperx[1].end |
44.869 |
| transcript.whisperx[1].text |
主委辛苦了有一個事情剛好問你是最對的因為你擔任部長的時候我們也討論過這個話題有關軍民專長的轉嫌平台那這是本席在2024年當時的質詢也就是我們在軍中的職業軍人或者一般的軍人他有軍中專長嘛我裝甲兵我炮兵我有自己的專長但是呢我們軍中的袍澤他會利用公於 |
| transcript.whisperx[2].start |
45.885 |
| transcript.whisperx[2].end |
70.498 |
| transcript.whisperx[2].text |
的時間可能去進修啊會拿到學位會拿到檢定會拿到證照嘛或者他有其他特殊專長廚藝啊各方面所以當時我在質詢的時候就建議說部隊的現役軍人這些自己進修各方面的專長包含軍中的專長應該跟人事部門登載在兵籍資料電子兵資裡面而這一個資料 |
| transcript.whisperx[3].start |
71.775 |
| transcript.whisperx[3].end |
94.374 |
| transcript.whisperx[3].text |
也不能當作我軍隊裡面要把你派用喔你原來私底下有這個專長那我派你去開怪手不行那這有加一個前提我們也提了一個臨時提案在2024年那個主委你可以看一下在立法院公報這個有登載在裡面也就是官兵的電子兵資在退伍之後國防部應該把這個電子兵資呢轉給 |
| transcript.whisperx[4].start |
97.156 |
| transcript.whisperx[4].end |
118.421 |
| transcript.whisperx[4].text |
退府會由退府會根據這樣的專長不管是訓練或者輔導就業讓軍中的專長不管是原來部隊的專長或者工於進修的專長便於銜接他的第二職業我覺得對我們軍人跑則是很重要一件事情比如說我們很多運輸官現在在台鐵開火車 |
| transcript.whisperx[5].start |
119.921 |
| transcript.whisperx[5].end |
134.558 |
| transcript.whisperx[5].text |
或者我們有一些EMTJ我們急救兵的專長也許未來可以輔導到衛福部做護佐來解決這個醫護的不足的部分所以當時做的這個建議我還特別提到說這一些 |
| transcript.whisperx[6].start |
136.092 |
| transcript.whisperx[6].end |
163.244 |
| transcript.whisperx[6].text |
與職業務無關的自己進修的學位啦證照檢定證明等等我們放在人事的兵資資料裡面但是不要把它拿來當作他在職業軍人的調動那是你在部長那一塊我現在回到退輔會我看你們這一次的業報裡面有把這個放進去了這個我先謝謝表示我們在其實已經快兩年了兩年前的建議現在退輔會有要把它納入所以我現在請教兩個問題第一個 |
| transcript.whisperx[7].start |
165.585 |
| transcript.whisperx[7].end |
191.921 |
| transcript.whisperx[7].text |
國防部把電子兵資移到退府會這一塊有沒有困難沒有困難取得沒有問題嗎有沒有各資的問題啊各方面都不會沒有問題所以你們現在有取得了嗎我們這個系統是跟勞動部的各分署桃竹苗分署鏈接的你們右手是跟國防部的兵資資料是國防部的人事嘛左手是跟那個勞動部的輔導就業那我們自己退府會 |
| transcript.whisperx[8].start |
192.481 |
| transcript.whisperx[8].end |
219.833 |
| transcript.whisperx[8].text |
也有給這些退伍軍人的訓練啊輔導嘛我們退伍會這邊輔導去民間就業我們那時候還有薪資補助六千一萬二等等做得還不錯所以如果兵資資料取得沒有問題的話我可不可以大膽建議主委因為我看你們的夜報說希望在明年一月份正式啟用現在才四月真的不要像我們國會在審查年度預算一樣拖了半年什麼事都沒做這個可以快一點嗎 |
| transcript.whisperx[9].start |
222.472 |
| transcript.whisperx[9].end |
249.194 |
| transcript.whisperx[9].text |
可不可以提早 就是不要到明年 你賓資的移轉沒有問題了嘛 是然後呢 我們的輔導就業訓練現有就一個體系了嘛那我們現在是不是可以儘速啟用不要拖到明年1月好 謝謝委員的關心跟委員報告 我們現在758項的這個君子專長在這個月底會完全盤出來那但是還是需要去做專家的去那個做一些校正那重點是我們因為要透過一個運用平台 |
| transcript.whisperx[10].start |
251.015 |
| transcript.whisperx[10].end |
254.216 |
| transcript.whisperx[10].text |
將來在廣為運用那個運用平台是在哪運用平台是在我們現有的那個就業服務網裡面我會擴充那這個需要去時間因為它是1月3月而且我還有AI就業智能服務11月才能夠完成不管是AI或者不AI |
| transcript.whisperx[11].start |
269.14 |
| transcript.whisperx[11].end |
284.99 |
| transcript.whisperx[11].text |
這個東西其實就是他在部隊的兵資資料裡面他到底有什麼什麼專長有沒有什麼證照 廚師以及證照或者是重機具操作證照或者是某某大學管理學院畢業碩士這些東西你們第一個要做的是分類這分類我建議怎麼分類呢 |
| transcript.whisperx[12].start |
288.595 |
| transcript.whisperx[12].end |
312.628 |
| transcript.whisperx[12].text |
看勞動部的就業服務的分類跟他對在一起那對在一起之後就把軍中的兵資轉成輔導就業的那個序號是一樣的那這樣就連在一起了這時候你有兩個好處第一個勞動部這邊現在有1000個就業需求電子業的有多少台積電要多少或者是餐飲業有多少那個序號就可以對著上來然後現在我們 |
| transcript.whisperx[13].start |
313.428 |
| transcript.whisperx[13].end |
334.685 |
| transcript.whisperx[13].text |
部隊的弟兄姊妹退伍了他這幾個符合那個專長你可以告訴他說那裡有六個職缺這裡有八個職缺你可以過去這第一個好處所以那個序號要對接第二個對於你們自己開辦的職訓或者有尋才有一些企業透過你們要尋才的也可以透過這樣子直接媒合那這個事情其實不用太久時間啦 |
| transcript.whisperx[14].start |
335.886 |
| transcript.whisperx[14].end |
350.51 |
| transcript.whisperx[14].text |
認真做的話因為這種分類一個禮拜就可以做得完我們王委員也是勞工專家這個不會太久他要立切的建交跟委員報告一下他這個系統大概三個部分第一個就是君子專長您剛剛指導的他什麼專長750多項專長然後第二個欄位就是因為我們跨部會 |
| transcript.whisperx[15].start |
358.573 |
| transcript.whisperx[15].end |
380.385 |
| transcript.whisperx[15].text |
經濟部 還有勞動部 教育部相關的工作 民間的職位有哪些最後一欄第三欄就是你的證照你必須獲得什麼證照端子所以這個可能要經過跨部會這些產官 學者剛剛我們處長講 還要再做驗證就要check一下 因為這700多太多了我樂見啦 因為我是千年的負責終於在今年我看到你們業報有這個內容了 |
| transcript.whisperx[16].start |
381.946 |
| transcript.whisperx[16].end |
409.776 |
| transcript.whisperx[16].text |
那我不下時間啦 我期待可以快一點因為你到明年一月 今年退伍的人能快我們盡量會快就是說隨時都會有人退伍嘛然後這個主席站起來 我最後給他看個表格看一個 我常常說我們退伍會持股比例跟我們輔導官兵就業最起碼數據要相當我盯了大概四五年了大概從邱國正當退伍會主委到現在很多年了 |
| transcript.whisperx[17].start |
411.172 |
| transcript.whisperx[17].end |
427.393 |
| transcript.whisperx[17].text |
到目前為止如果你去看我前幾年提供的表格有 有改善退幅會做得不錯確實數據有提升但我一直很納悶耶新章天然氣是哪是哪根筋有問題為什麼就只有它不配合就是說你看喔我們本來一片都紅字喔我們持股26% |
| transcript.whisperx[18].start |
428.695 |
| transcript.whisperx[18].end |
454.666 |
| transcript.whisperx[18].text |
安置率呢以前都低於這個%數就是說我們的持股比例跟安置比例以前都有落差都紅字經過我們這幾年我每次質詢都盯這個事情我持股比例跟我安置就業比例最起碼相當嘛因為退府會存在的最重要的功能就是幫助國軍退出役官兵能夠就業而且官兵位置不論官大官小我們都要幫他從基層到將領 |
| transcript.whisperx[19].start |
455.706 |
| transcript.whisperx[19].end |
477.343 |
| transcript.whisperx[19].text |
那經過這幾年努力 我看起來不錯 從新南到新平大概數據都是正的只有新章天然氣公司 他的安置率竟然不足13%然後我們再看我們會派的會見的董事長 會見的總經理有的有會派的 有的沒有會派的 |
| transcript.whisperx[20].start |
478.803 |
| transcript.whisperx[20].end |
495.988 |
| transcript.whisperx[20].text |
我們如果看一下新章的話我這邊沒有新章的新章好像沒有會派的我們持股高達三成多在一般民間企業持股這麼高其實都可以控制董事會了那為什麼新章的安置率這麼低能不能告訴我答案 |
| transcript.whisperx[21].start |
496.451 |
| transcript.whisperx[21].end |
512.686 |
| transcript.whisperx[21].text |
那委員 新章從109他只有10%現在已經進步到20%就是在委員的資格上10%也太低了我們34%持股耶然後那個主委你看一下會見董事長跟會見總經理洪志也是只有新章 |
| transcript.whisperx[22].start |
513.894 |
| transcript.whisperx[22].end |
540.225 |
| transcript.whisperx[22].text |
五位我們退府會持股就算很低的薪高21%好歹還總經理是我們派的就新章我們有34%董事長不是我們派的總經理不是我們派的然後我們推薦的退俗衣官兵就業率又遠低於我們持股比率為什麼全部只有新章我就公開點名就只有新章他們的民間持股是誰 |
| transcript.whisperx[23].start |
541.543 |
| transcript.whisperx[23].end |
556.918 |
| transcript.whisperx[23].text |
他流動率比較低人員流動率比較低所以這個牽涉到安置根據統計不會只有新章很特別那我們也知道以前歷史的因素相對持股的民間持股多數都是地方的政治人物新章到底對照是誰 |
| transcript.whisperx[24].start |
557.658 |
| transcript.whisperx[24].end |
585.144 |
| transcript.whisperx[24].text |
委員好 這個新章是我們新雄 新南 新章這三家都是租家的都租家的那為什麼租家在新章這麼難配合因為他們持股超過百分之五十 將近百分之六十租家的持股超過百分之六十你說新高新南安置也不錯啊我們有會見總經理啊為什麼獨獨新章三無安置比率低無會見董事長 無會見總經理 |
| transcript.whisperx[25].start |
587.484 |
| transcript.whisperx[25].end |
602.152 |
| transcript.whisperx[25].text |
其實我們一直在努力,朱家的新熊他已經開放給我們了那我們還要努力,包含新南新章都要努力新章在中部,新章在中部地區,所以為了這個我們特別請我們副副主委 |
| transcript.whisperx[26].start |
603.021 |
| transcript.whisperx[26].end |
623.146 |
| transcript.whisperx[26].text |
到他公司擔任董事從去年開始去年底就這樣講是我們這個副主委這個辦事不力不是不是他去要求他你剛才一講我就覺得是他辦事不力他擔任董事什麼都沒完成啊三個都沒有啊這樣副主委好好今天不在因為他不在我們兩個可以好好檢討他沒關係啦不是不是這樣子他因為副主委去努力因為我們也把這樣好不好時間關係齁這個 |
| transcript.whisperx[27].start |
625.727 |
| transcript.whisperx[27].end |
646.622 |
| transcript.whisperx[27].text |
這幾年確實有進步真的那個這個原主委可以去調我前幾年提供的數據以前是一片紅字啊現在只剩新章再努力一下好不好安置比例跟池湖比例至少相當那最起碼要有個會見總經理我們可以訓練管理人才從高階將領到基層的官士兵都有個就業機會好不好新章我下次還會再檢討那我們也透過今天 |
| transcript.whisperx[28].start |
648.148 |
| transcript.whisperx[28].end |
656.373 |
| transcript.whisperx[28].text |
國會頻道新章也聽進去安置我們退除役官兵尤其中部的官兵我覺得做得到盡力去做啦好不好謝謝主委 |