影片長度 |
587 |
委員名稱 |
鍾佳濱 |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/fbd4f581a444b49354e61b92188aa0a0de01320d1e415bd4d736de4ad1ada90a4f1e67c654a2dd135ea18f28b6918d91.mp4/playlist.m3u8 |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
0.26721875 |
transcript.pyannote[0].end |
6.86534375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
7.57409375 |
transcript.pyannote[1].end |
9.31221875 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
14.71221875 |
transcript.pyannote[2].end |
15.13409375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
15.28596875 |
transcript.pyannote[3].end |
15.58971875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
16.06221875 |
transcript.pyannote[4].end |
18.05346875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
18.08721875 |
transcript.pyannote[5].end |
19.77471875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
23.58846875 |
transcript.pyannote[6].end |
24.48284375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
24.90471875 |
transcript.pyannote[7].end |
25.63034375 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
25.91721875 |
transcript.pyannote[8].end |
34.01721875 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
30.84471875 |
transcript.pyannote[9].end |
32.65034375 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
32.73471875 |
transcript.pyannote[10].end |
33.83159375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
34.28721875 |
transcript.pyannote[11].end |
42.03284375 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
43.26471875 |
transcript.pyannote[12].end |
51.02721875 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
48.25971875 |
transcript.pyannote[13].end |
48.83346875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
50.25096875 |
transcript.pyannote[14].end |
50.33534375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
51.02721875 |
transcript.pyannote[15].end |
51.95534375 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
52.46159375 |
transcript.pyannote[16].end |
52.47846875 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
52.47846875 |
transcript.pyannote[17].end |
64.94909375 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
52.96784375 |
transcript.pyannote[18].end |
53.42346875 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
65.94471875 |
transcript.pyannote[19].end |
66.65346875 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
66.97409375 |
transcript.pyannote[20].end |
67.02471875 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
67.04159375 |
transcript.pyannote[21].end |
71.02409375 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
71.02409375 |
transcript.pyannote[22].end |
77.57159375 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
71.12534375 |
transcript.pyannote[23].end |
72.57659375 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
79.37721875 |
transcript.pyannote[24].end |
88.60784375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
88.48971875 |
transcript.pyannote[25].end |
96.43784375 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
96.53909375 |
transcript.pyannote[26].end |
132.87096875 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
133.71471875 |
transcript.pyannote[27].end |
134.59221875 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
134.89596875 |
transcript.pyannote[28].end |
140.27909375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
140.59971875 |
transcript.pyannote[29].end |
141.37596875 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
142.20284375 |
transcript.pyannote[30].end |
142.77659375 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
143.78909375 |
transcript.pyannote[31].end |
143.89034375 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
143.89034375 |
transcript.pyannote[32].end |
144.00846875 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
144.43034375 |
transcript.pyannote[33].end |
145.40909375 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
147.11346875 |
transcript.pyannote[34].end |
148.42971875 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
148.42971875 |
transcript.pyannote[35].end |
148.44659375 |
transcript.pyannote[36].speaker |
SPEAKER_02 |
transcript.pyannote[36].start |
149.17221875 |
transcript.pyannote[36].end |
150.08346875 |
transcript.pyannote[37].speaker |
SPEAKER_02 |
transcript.pyannote[37].start |
150.77534375 |
transcript.pyannote[37].end |
159.11159375 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
158.52096875 |
transcript.pyannote[38].end |
162.30096875 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
163.07721875 |
transcript.pyannote[39].end |
166.62096875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
167.00909375 |
transcript.pyannote[40].end |
175.36221875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
174.78846875 |
transcript.pyannote[41].end |
204.01596875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
175.56471875 |
transcript.pyannote[42].end |
175.58159375 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
204.55596875 |
transcript.pyannote[43].end |
221.68409375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
222.07221875 |
transcript.pyannote[44].end |
223.35471875 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
223.89471875 |
transcript.pyannote[45].end |
229.17659375 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
229.59846875 |
transcript.pyannote[46].end |
236.02784375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
236.66909375 |
transcript.pyannote[47].end |
239.45346875 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
240.53346875 |
transcript.pyannote[48].end |
241.74846875 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
242.30534375 |
transcript.pyannote[49].end |
249.05534375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
249.52784375 |
transcript.pyannote[50].end |
250.01721875 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
250.92846875 |
transcript.pyannote[51].end |
251.83971875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
252.16034375 |
transcript.pyannote[52].end |
254.57346875 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
255.26534375 |
transcript.pyannote[53].end |
258.11721875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
258.53909375 |
transcript.pyannote[54].end |
264.05721875 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
264.41159375 |
transcript.pyannote[55].end |
270.38534375 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
270.92534375 |
transcript.pyannote[56].end |
272.22471875 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
272.93346875 |
transcript.pyannote[57].end |
274.30034375 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
274.75596875 |
transcript.pyannote[58].end |
275.85284375 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
276.13971875 |
transcript.pyannote[59].end |
278.95784375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
278.97471875 |
transcript.pyannote[60].end |
279.04221875 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
279.14346875 |
transcript.pyannote[61].end |
287.26034375 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
288.28971875 |
transcript.pyannote[62].end |
295.51221875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
297.19971875 |
transcript.pyannote[63].end |
306.07596875 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
306.75096875 |
transcript.pyannote[64].end |
309.34971875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
309.72096875 |
transcript.pyannote[65].end |
315.05346875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
315.28971875 |
transcript.pyannote[66].end |
316.87596875 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
316.90971875 |
transcript.pyannote[67].end |
317.88846875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
318.44534375 |
transcript.pyannote[68].end |
328.14846875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
329.56596875 |
transcript.pyannote[69].end |
337.09221875 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
337.48034375 |
transcript.pyannote[70].end |
342.32346875 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
343.01534375 |
transcript.pyannote[71].end |
349.25909375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
349.47846875 |
transcript.pyannote[72].end |
353.37659375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
353.83221875 |
transcript.pyannote[73].end |
355.77284375 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
355.85721875 |
transcript.pyannote[74].end |
358.47284375 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
359.19846875 |
transcript.pyannote[75].end |
362.86034375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
362.20221875 |
transcript.pyannote[76].end |
364.39596875 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
364.71659375 |
transcript.pyannote[77].end |
369.64409375 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
369.76221875 |
transcript.pyannote[78].end |
370.11659375 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
370.11659375 |
transcript.pyannote[79].end |
375.76971875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
376.12409375 |
transcript.pyannote[80].end |
378.01409375 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
378.72284375 |
transcript.pyannote[81].end |
380.15721875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
381.00096875 |
transcript.pyannote[82].end |
381.76034375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
382.09784375 |
transcript.pyannote[83].end |
383.86971875 |
transcript.pyannote[84].speaker |
SPEAKER_02 |
transcript.pyannote[84].start |
383.86971875 |
transcript.pyannote[84].end |
386.08034375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
386.08034375 |
transcript.pyannote[85].end |
386.28284375 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
386.28284375 |
transcript.pyannote[86].end |
386.33346875 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
386.33346875 |
transcript.pyannote[87].end |
386.89034375 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
387.51471875 |
transcript.pyannote[88].end |
389.47221875 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
389.70846875 |
transcript.pyannote[89].end |
400.94721875 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
402.02721875 |
transcript.pyannote[90].end |
406.11096875 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
406.83659375 |
transcript.pyannote[91].end |
407.61284375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
408.13596875 |
transcript.pyannote[92].end |
420.99471875 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
422.07471875 |
transcript.pyannote[93].end |
433.49909375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
433.87034375 |
transcript.pyannote[94].end |
442.40909375 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
442.78034375 |
transcript.pyannote[95].end |
450.27284375 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
452.16284375 |
transcript.pyannote[96].end |
452.61846875 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
454.96409375 |
transcript.pyannote[97].end |
458.94659375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
459.72284375 |
transcript.pyannote[98].end |
465.34221875 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
466.21971875 |
transcript.pyannote[99].end |
468.97034375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
469.17284375 |
transcript.pyannote[100].end |
470.42159375 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
470.64096875 |
transcript.pyannote[101].end |
471.94034375 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
472.19346875 |
transcript.pyannote[102].end |
474.23534375 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
474.85971875 |
transcript.pyannote[103].end |
475.61909375 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
475.77096875 |
transcript.pyannote[104].end |
476.81721875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
477.34034375 |
transcript.pyannote[105].end |
478.47096875 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
479.33159375 |
transcript.pyannote[106].end |
482.13284375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
482.92596875 |
transcript.pyannote[107].end |
488.19096875 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
488.29221875 |
transcript.pyannote[108].end |
493.08471875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
493.55721875 |
transcript.pyannote[109].end |
494.31659375 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
494.85659375 |
transcript.pyannote[110].end |
502.18034375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
506.34846875 |
transcript.pyannote[111].end |
508.69409375 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
509.09909375 |
transcript.pyannote[112].end |
513.40221875 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
514.24596875 |
transcript.pyannote[113].end |
518.26221875 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
518.76846875 |
transcript.pyannote[114].end |
522.12659375 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
522.32909375 |
transcript.pyannote[115].end |
523.44284375 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
524.23596875 |
transcript.pyannote[116].end |
525.55221875 |
transcript.pyannote[117].speaker |
SPEAKER_02 |
transcript.pyannote[117].start |
526.66596875 |
transcript.pyannote[117].end |
537.26346875 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
537.26346875 |
transcript.pyannote[118].end |
539.28846875 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
539.32221875 |
transcript.pyannote[119].end |
547.27034375 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
547.77659375 |
transcript.pyannote[120].end |
548.77221875 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
549.46409375 |
transcript.pyannote[121].end |
570.30471875 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
570.37221875 |
transcript.pyannote[122].end |
571.75596875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
571.84034375 |
transcript.pyannote[123].end |
573.34221875 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
574.48971875 |
transcript.pyannote[124].end |
579.38346875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
579.13034375 |
transcript.pyannote[125].end |
580.53096875 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
580.53096875 |
transcript.pyannote[126].end |
581.07096875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
581.02034375 |
transcript.pyannote[127].end |
586.97721875 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
586.48784375 |
transcript.pyannote[128].end |
586.96034375 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
586.97721875 |
transcript.pyannote[129].end |
587.97284375 |
transcript.whisperx[0].start |
0.49 |
transcript.whisperx[0].end |
8.116 |
transcript.whisperx[0].text |
主席、在黨委員、先進、列席的總軍事長、官員、會長、工作夥伴、媒體、記者、女士先生。有請我們顧部長。請顧部長。部長好。部長,請問你認為作戰要打勝仗,靠的是軍人還是靠的是武器?請。 |
transcript.whisperx[1].start |
23.669 |
transcript.whisperx[1].end |
41.698 |
transcript.whisperx[1].text |
我想這個愛情跟麵包哪個重要?都重要啦!所以呢我們不只要有精良的武器,我們要有足夠的…人員、裝備、訓練都很重要。很好!那目前我們都知道,目前我們國軍戰鬥啊,邊線戰鬥單位邊線也不足八成,缺額缺在哪裡?缺在陸軍?缺在海軍?還是缺在空軍? |
transcript.whisperx[2].start |
43.809 |
transcript.whisperx[2].end |
64.75 |
transcript.whisperx[2].text |
我據我的瞭解應該是在這個主戰部隊那應該是以陸軍為主其實各個軍種都缺啦其實都缺兵那這邊線比呢第一類的戰鬥部隊邊線比都不到八成那假設啦我換個問題方式那你覺得如果現在的官兵缺額是缺在哪個階層缺在軍官缺在士官還是缺在士兵 |
transcript.whisperx[3].start |
67.239 |
transcript.whisperx[3].end |
93.88 |
transcript.whisperx[3].text |
我想應該是士兵到這個其實我們看得到的軍官士官長不缺二等兵也不缺缺的是什麼基層的士官上等兵和一兵為什麼因為我們的上士以上是跟我們一般的這個勞工的平均金融性薪資已經可以達到了但講的是薪資我們來看一下其實是制度我們看一下我當兵的時候是兩年兵 |
transcript.whisperx[4].start |
94.6 |
transcript.whisperx[4].end |
119.446 |
transcript.whisperx[4].text |
那時候前6個月是二兵6個月之後可以升為一兵一年後你就升為上兵所以退伍前的半年我是上兵假設是這樣但是我不是上兵退伍我是下士退伍為什麼因為我在中心訓練兩個月的時候他們就來挑那我被編入了士官隊我受了士官訓所以我以下士退役的退伍的所以目前因為我們兵役制度過去是4個月4個月只能二兵 |
transcript.whisperx[5].start |
120.026 |
transcript.whisperx[5].end |
123.508 |
transcript.whisperx[5].text |
二、針對美國軍火商雷神對台軍售價格情事及後續因應及精進作為.並備質詢。二、針對美國軍火商雷神對台軍售價格情事及後續因應及精進作為 |
transcript.whisperx[6].start |
149.246 |
transcript.whisperx[6].end |
178.255 |
transcript.whisperx[6].text |
我想我們在志願役招募上面還是會來加強啦那一年期的義務役服完之後是他就是一兵了啦那時候會缺上兵跟士官了對不對委員好我跟委員報告一下就是說其實我們兵啊不管是招募的或義務役的我們都會盡量去滿足尤其我們從114年開始兵的緣合會越來越多我直接講啦我們有前一段時間我們急缺哨位啦 |
transcript.whisperx[7].start |
178.795 |
transcript.whisperx[7].end |
203.46 |
transcript.whisperx[7].text |
因為我們自願意的從軍的軍校畢業的是中衛起跳啦過去有預觀到說哨衛排長不缺後來有段是缺哨衛軍官現在我們慢慢充實了招募之後哨衛軍官不缺了往下跳我們也要看齁其實目前的基層軍事官兵的來源是這樣子軍官、正期生、專科、專業軍官班還有大專儲備軍官團服役年限長他可以終生來服役他有退休縫 |
transcript.whisperx[8].start |
204.64 |
transcript.whisperx[8].end |
207.061 |
transcript.whisperx[8].text |
二、針對美國軍火商雷神對台軍售涉虛報軍售價格情事及後續因應及精進作為 |
transcript.whisperx[9].start |
223.948 |
transcript.whisperx[9].end |
249.742 |
transcript.whisperx[9].text |
好,我們多少義務一轉服志願一成功的,您覺得滿不滿意?部長你看看我們社會青年從社會青年穆德的達成率都在八成左右,八成五但是在興訓轉服的人的達成率啊,超標啊超標,我們預計要五千八,來了六千三部長了解什麼原因嗎?如果你穆兵的目標都可以達成,為什麼現在還有缺額?為什麼現在還缺一兵?為什麼現在還上兵?為什麼還缺士官?為什麼? |
transcript.whisperx[10].start |
250.97 |
transcript.whisperx[10].end |
270.037 |
transcript.whisperx[10].text |
看下一個圖啦不是目標達標要留得住啦你的達標率九成多但是你離營了兩年後四年後離營的為什麼會離營兩個原因他起碼不續留阿第二個他想留我部隊也不要他為什麼不適合從事軍旅生涯嘛我會太處嘛 |
transcript.whisperx[11].start |
270.97 |
transcript.whisperx[11].end |
295.274 |
transcript.whisperx[11].text |
部長同不同意這樣的分析?是好往下看所以說我們要知道招募人才怎麼樣才不會被太處什麼時候招現場的軍官知道目前我們人才招募各部隊在那些義務役入伍訓的時候什麼時候招一開始第一週招還是8週之後招還是16週要退伍了才來招部長如果是你你會什麼時候去招 |
transcript.whisperx[12].start |
297.193 |
transcript.whisperx[12].end |
297.233 |
transcript.whisperx[12].text |
第1週末 |
transcript.whisperx[13].start |
309.79 |
transcript.whisperx[13].end |
327.927 |
transcript.whisperx[13].text |
第一週連藝男自己都不曉得自己是不是軍女生啊你知道第一週的課程是什麼第一週都是室內課調試第一週的興訊所有的阿兵哥都在聽什麼來自包括調查局包括空軍機場來這邊招募啦招募他去戰四年的衛兵啦 |
transcript.whisperx[14].start |
329.659 |
transcript.whisperx[14].end |
357.966 |
transcript.whisperx[14].text |
如果說他16個星期滿了他離開了你去招募他他也不留啦四個月我已經到了我要給我人生規劃合理的招募時間點對於我們部隊留才很重要你讓他受了8週的新訓經歷了軍旅的一個基本不下面的訓練他自己知道他適不適合部隊也可以評估他適不適合這時候去招才會怎麼樣容易騙但是很快就走部長你同意嗎招募的時間要不要檢討 |
transcript.whisperx[15].start |
359.805 |
transcript.whisperx[15].end |
379.965 |
transcript.whisperx[15].text |
委員的意見我覺得你知不知道目前都是第一週在招第一週有沒有實戰的課有沒有實體連體能訓練都沒有這時候的遇難到部隊裡面都是用什麼薪水很高啦離家很近啦單位任你選啦這樣招得進來都超標但是留不留得住 |
transcript.whisperx[16].start |
381.058 |
transcript.whisperx[16].end |
405.673 |
transcript.whisperx[16].text |
留不留得住?檢討一下。好不好?第二個。這個委員的意見我覺得蠻好的。齊滿不蓄留。為什麼?下市薪水快4萬,二兵3萬6,看起來不錯,差不多,但是期待值不同。我下市我可以買賣,我如果是士官學校出來的,我從下市開始幹。我幹到士官長,我可以幹到25年。我的退伍的時候,我的待遇呢,如果一等士官長,我可以接近將官。 |
transcript.whisperx[17].start |
406.909 |
transcript.whisperx[17].end |
420.751 |
transcript.whisperx[17].text |
有鐘聲奉我說二兵你人才招募我我留四年我留八年我不會留一輩子為什麼我不可能拿到鐘聲奉是不是這樣子所以當我們對於短一期的士官兵的時候我們的招募要講的待遇我們來看一下 |
transcript.whisperx[18].start |
422.39 |
transcript.whisperx[18].end |
450.143 |
transcript.whisperx[18].text |
現在戰鬥兵的二兵戰鬥的二兵加起來看起來也不少喔四萬一千三比我們平均性是高很多喔但是他卻是24小時要待勤要待命備勤啊尤其是艦艇兵你就算是人家工作八小時領四萬塊你在艦艇上領四萬塊你八小時下了哨你還是在艦艇上啊所以很多人鼓勵年輕人要存第一桶金來海軍艦艇兵保證你可以四年存一百萬部長你同不同意 |
transcript.whisperx[19].start |
455.032 |
transcript.whisperx[19].end |
478.007 |
transcript.whisperx[19].text |
我以後很多認識的一些年輕人他們都告訴我從軍不錯還只要志願去海軍去艦艇兵四年一桶金一百萬退伍回來考大學還有加分大學四年的學會不用靠別人我是在幫你們招募喔我要做正面的宣傳喔但是我們想想看其他人會這樣想嗎我們看看其他國家以色列他的平均二兵月薪大概十萬塊 |
transcript.whisperx[20].start |
479.506 |
transcript.whisperx[20].end |
501.938 |
transcript.whisperx[20].text |
現在以下衝突為了國家賣命應該的新加坡他的國民所得比我們高他的一般戰鬥兵大概5萬2台幣考量到我們的國民所得不同美國更多了10領13萬還配宿舍你會不會覺得如果我們短一期的士官兵他如果10年後沒有終生夢可以期待現在的待遇要不要提高 |
transcript.whisperx[21].start |
506.394 |
transcript.whisperx[21].end |
525.179 |
transcript.whisperx[21].text |
要知道短一期的十年以下的他是二類哦他退伍了之後他是二類他是農民啊第二類的他是沒有這些其他退伍其他的軍官退下來的月推秋縫的部長你覺得咧你會覺得我們國軍基層的士兵士官待遇需要再加強 |
transcript.whisperx[22].start |
526.941 |
transcript.whisperx[22].end |
548.37 |
transcript.whisperx[22].text |
跟委員報告我現在正在召會進行演議委員的意見我非常值得參考我會把它納入我們部內在討論的時候一個課題非常感謝部長我希望不要拿我們的基層的世關面的待遇去跟他同年齡的年輕人在社會上的平均薪資中位數來比不要這樣比要跨國比 |
transcript.whisperx[23].start |
549.52 |
transcript.whisperx[23].end |
573.221 |
transcript.whisperx[23].text |
而且不要跟士兵跟士兵比要士兵跟軍官比軍官有月退休奉的期待他的職業生涯現在待遇差一點他願意接受但是士官士兵短一期的十年內就退了沒有終身奉你們要在限職的待遇上予以調升讓他覺得為國家服務為國家奉獻保衛社會有尊嚴而且有好的待遇同不同意 |
transcript.whisperx[24].start |
575.441 |
transcript.whisperx[24].end |
584.974 |
transcript.whisperx[24].text |
委員的意見我會放在心裡面我會來好好的不只放在心裡面希望你們勇敢的做出來好不好我們讓我們的部隊我們的基層士官兵他們樂於為國效了好不好好謝謝謝謝委員 |
會議時間 |
2024-10-07T09:00:00+08:00 |
委員發言時間 |
12:48:25 - 12:58:12 |
會議名稱 |
立法院第11屆第2會期外交及國防委員會第2次全體委員會議【含秘密會議】(事由:邀請國防部部長報告一、「台美國防工業會議成效及合作現況與未來展望」,並備質詢。二、「針對美國軍火商雷神對台軍售涉虛報軍售價格情事及後續因應及精進作為」,並備質詢。【機密】) |
IVOD_ID |
155204 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/155204 |
日期 |
2024-10-07 |
會議資料.會議代碼 |
委員會-11-2-35-2 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
2 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
35 |
會議資料.標題 |
第11屆第2會期外交及國防委員會第2次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-10-07T12:48:25+08:00 |
結束時間 |
2024-10-07T12:58:12+08:00 |
支援功能[0] |
ai-transcript |