IVOD_ID |
163803 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/163803 |
日期 |
2025-10-03 |
會議資料.會議代碼 |
院會-11-4-3 |
會議資料.會議代碼:str |
第11屆第4會期第3次會議 |
會議資料.屆 |
11 |
會議資料.會期 |
4 |
會議資料.會次 |
3 |
會議資料.種類 |
院會 |
會議資料.標題 |
第11屆第4會期第3次會議 |
影片種類 |
Clip |
開始時間 |
2025-10-03T14:00:21+08:00 |
結束時間 |
2025-10-03T14:16:05+08:00 |
影片長度 |
00:15:44 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/095f1cfadbf5b890eaa81fc1f33fe83a704543300bdabf02cfe8ed51afeb83d519ee2b2e751d37cf5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
王定宇 |
委員發言時間 |
14:00:21 - 14:16:05 |
會議時間 |
2025-10-03T09:00:00+08:00 |
會議名稱 |
第11屆第4會期第3次會議(事由:一、行政院院長、主計長、財政部部長、經濟部部長及相關部會首長列席報告「中央政府因應國際情勢強化經濟社會及民生國安韌性特別預算案」編製經過並備質詢(10月3日)。二、對行政院院長施政報告繼續質詢(10月7日)。三、10月3日上午9時至10時為國是論壇時間。四、10月7日下午2時15分至2時30分為處理臨時提案時間。) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
1.02659375 |
transcript.pyannote[1].speaker |
SPEAKER_03 |
transcript.pyannote[1].start |
19.57221875 |
transcript.pyannote[1].end |
24.26346875 |
transcript.pyannote[2].speaker |
SPEAKER_03 |
transcript.pyannote[2].start |
33.47721875 |
transcript.pyannote[2].end |
35.29971875 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
35.23221875 |
transcript.pyannote[3].end |
35.58659375 |
transcript.pyannote[4].speaker |
SPEAKER_03 |
transcript.pyannote[4].start |
35.58659375 |
transcript.pyannote[4].end |
35.60346875 |
transcript.pyannote[5].speaker |
SPEAKER_03 |
transcript.pyannote[5].start |
35.68784375 |
transcript.pyannote[5].end |
42.65721875 |
transcript.pyannote[6].speaker |
SPEAKER_03 |
transcript.pyannote[6].start |
42.97784375 |
transcript.pyannote[6].end |
45.03659375 |
transcript.pyannote[7].speaker |
SPEAKER_03 |
transcript.pyannote[7].start |
45.40784375 |
transcript.pyannote[7].end |
50.03159375 |
transcript.pyannote[8].speaker |
SPEAKER_03 |
transcript.pyannote[8].start |
50.16659375 |
transcript.pyannote[8].end |
52.49534375 |
transcript.pyannote[9].speaker |
SPEAKER_03 |
transcript.pyannote[9].start |
53.13659375 |
transcript.pyannote[9].end |
55.68471875 |
transcript.pyannote[10].speaker |
SPEAKER_03 |
transcript.pyannote[10].start |
55.95471875 |
transcript.pyannote[10].end |
57.27096875 |
transcript.pyannote[11].speaker |
SPEAKER_03 |
transcript.pyannote[11].start |
57.33846875 |
transcript.pyannote[11].end |
66.04596875 |
transcript.pyannote[12].speaker |
SPEAKER_03 |
transcript.pyannote[12].start |
66.14721875 |
transcript.pyannote[12].end |
68.72909375 |
transcript.pyannote[13].speaker |
SPEAKER_03 |
transcript.pyannote[13].start |
69.37034375 |
transcript.pyannote[13].end |
72.69471875 |
transcript.pyannote[14].speaker |
SPEAKER_03 |
transcript.pyannote[14].start |
73.03221875 |
transcript.pyannote[14].end |
74.80409375 |
transcript.pyannote[15].speaker |
SPEAKER_03 |
transcript.pyannote[15].start |
75.24284375 |
transcript.pyannote[15].end |
79.93409375 |
transcript.pyannote[16].speaker |
SPEAKER_03 |
transcript.pyannote[16].start |
80.27159375 |
transcript.pyannote[16].end |
85.03034375 |
transcript.pyannote[17].speaker |
SPEAKER_03 |
transcript.pyannote[17].start |
85.48596875 |
transcript.pyannote[17].end |
94.76721875 |
transcript.pyannote[18].speaker |
SPEAKER_03 |
transcript.pyannote[18].start |
95.12159375 |
transcript.pyannote[18].end |
103.25534375 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
104.13284375 |
transcript.pyannote[19].end |
105.75284375 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
105.80346875 |
transcript.pyannote[20].end |
110.05596875 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
110.69721875 |
transcript.pyannote[21].end |
114.88221875 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
116.02971875 |
transcript.pyannote[22].end |
117.37971875 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
117.71721875 |
transcript.pyannote[23].end |
122.17221875 |
transcript.pyannote[24].speaker |
SPEAKER_03 |
transcript.pyannote[24].start |
121.73346875 |
transcript.pyannote[24].end |
123.74159375 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
123.91034375 |
transcript.pyannote[25].end |
129.98534375 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
130.30596875 |
transcript.pyannote[26].end |
133.66409375 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
133.73159375 |
transcript.pyannote[27].end |
136.97159375 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
137.30909375 |
transcript.pyannote[28].end |
138.33846875 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
138.60846875 |
transcript.pyannote[29].end |
142.13534375 |
transcript.pyannote[30].speaker |
SPEAKER_03 |
transcript.pyannote[30].start |
141.46034375 |
transcript.pyannote[30].end |
148.24409375 |
transcript.pyannote[31].speaker |
SPEAKER_03 |
transcript.pyannote[31].start |
148.71659375 |
transcript.pyannote[31].end |
155.85471875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
151.80471875 |
transcript.pyannote[32].end |
151.88909375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
152.12534375 |
transcript.pyannote[33].end |
152.19284375 |
transcript.pyannote[34].speaker |
SPEAKER_03 |
transcript.pyannote[34].start |
156.14159375 |
transcript.pyannote[34].end |
159.19596875 |
transcript.pyannote[35].speaker |
SPEAKER_03 |
transcript.pyannote[35].start |
159.34784375 |
transcript.pyannote[35].end |
173.10096875 |
transcript.pyannote[36].speaker |
SPEAKER_03 |
transcript.pyannote[36].start |
173.53971875 |
transcript.pyannote[36].end |
176.52659375 |
transcript.pyannote[37].speaker |
SPEAKER_03 |
transcript.pyannote[37].start |
176.94846875 |
transcript.pyannote[37].end |
180.37409375 |
transcript.pyannote[38].speaker |
SPEAKER_03 |
transcript.pyannote[38].start |
180.98159375 |
transcript.pyannote[38].end |
191.47784375 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
191.84909375 |
transcript.pyannote[39].end |
203.61096875 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
203.79659375 |
transcript.pyannote[40].end |
207.89721875 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
208.16721875 |
transcript.pyannote[41].end |
210.90096875 |
transcript.pyannote[42].speaker |
SPEAKER_03 |
transcript.pyannote[42].start |
211.23846875 |
transcript.pyannote[42].end |
211.54221875 |
transcript.pyannote[43].speaker |
SPEAKER_03 |
transcript.pyannote[43].start |
212.04846875 |
transcript.pyannote[43].end |
216.99284375 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
215.42346875 |
transcript.pyannote[44].end |
215.79471875 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
216.30096875 |
transcript.pyannote[45].end |
220.35096875 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
220.63784375 |
transcript.pyannote[46].end |
222.32534375 |
transcript.pyannote[47].speaker |
SPEAKER_03 |
transcript.pyannote[47].start |
222.32534375 |
transcript.pyannote[47].end |
222.34221875 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
222.54471875 |
transcript.pyannote[48].end |
224.02971875 |
transcript.pyannote[49].speaker |
SPEAKER_03 |
transcript.pyannote[49].start |
224.02971875 |
transcript.pyannote[49].end |
231.67409375 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
231.16784375 |
transcript.pyannote[50].end |
232.11284375 |
transcript.pyannote[51].speaker |
SPEAKER_03 |
transcript.pyannote[51].start |
231.89346875 |
transcript.pyannote[51].end |
233.63159375 |
transcript.pyannote[52].speaker |
SPEAKER_03 |
transcript.pyannote[52].start |
234.13784375 |
transcript.pyannote[52].end |
235.36971875 |
transcript.pyannote[53].speaker |
SPEAKER_03 |
transcript.pyannote[53].start |
235.85909375 |
transcript.pyannote[53].end |
241.69784375 |
transcript.pyannote[54].speaker |
SPEAKER_03 |
transcript.pyannote[54].start |
241.88346875 |
transcript.pyannote[54].end |
248.07659375 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
246.87846875 |
transcript.pyannote[55].end |
255.01221875 |
transcript.pyannote[56].speaker |
SPEAKER_03 |
transcript.pyannote[56].start |
255.09659375 |
transcript.pyannote[56].end |
265.01909375 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
255.13034375 |
transcript.pyannote[57].end |
255.88971875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
257.05409375 |
transcript.pyannote[58].end |
257.08784375 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
257.08784375 |
transcript.pyannote[59].end |
257.59409375 |
transcript.pyannote[60].speaker |
SPEAKER_03 |
transcript.pyannote[60].start |
265.27221875 |
transcript.pyannote[60].end |
265.96409375 |
transcript.pyannote[61].speaker |
SPEAKER_03 |
transcript.pyannote[61].start |
266.18346875 |
transcript.pyannote[61].end |
267.19596875 |
transcript.pyannote[62].speaker |
SPEAKER_03 |
transcript.pyannote[62].start |
267.28034375 |
transcript.pyannote[62].end |
270.43596875 |
transcript.pyannote[63].speaker |
SPEAKER_03 |
transcript.pyannote[63].start |
270.52034375 |
transcript.pyannote[63].end |
272.14034375 |
transcript.pyannote[64].speaker |
SPEAKER_03 |
transcript.pyannote[64].start |
272.57909375 |
transcript.pyannote[64].end |
274.33409375 |
transcript.pyannote[65].speaker |
SPEAKER_03 |
transcript.pyannote[65].start |
275.22846875 |
transcript.pyannote[65].end |
277.20284375 |
transcript.pyannote[66].speaker |
SPEAKER_03 |
transcript.pyannote[66].start |
277.55721875 |
transcript.pyannote[66].end |
309.92346875 |
transcript.pyannote[67].speaker |
SPEAKER_03 |
transcript.pyannote[67].start |
309.94034375 |
transcript.pyannote[67].end |
309.95721875 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
309.95721875 |
transcript.pyannote[68].end |
314.44596875 |
transcript.pyannote[69].speaker |
SPEAKER_03 |
transcript.pyannote[69].start |
315.00284375 |
transcript.pyannote[69].end |
316.47096875 |
transcript.pyannote[70].speaker |
SPEAKER_03 |
transcript.pyannote[70].start |
316.77471875 |
transcript.pyannote[70].end |
319.60971875 |
transcript.pyannote[71].speaker |
SPEAKER_03 |
transcript.pyannote[71].start |
319.76159375 |
transcript.pyannote[71].end |
320.60534375 |
transcript.pyannote[72].speaker |
SPEAKER_03 |
transcript.pyannote[72].start |
320.84159375 |
transcript.pyannote[72].end |
325.65096875 |
transcript.pyannote[73].speaker |
SPEAKER_03 |
transcript.pyannote[73].start |
325.90409375 |
transcript.pyannote[73].end |
339.52221875 |
transcript.pyannote[74].speaker |
SPEAKER_03 |
transcript.pyannote[74].start |
339.74159375 |
transcript.pyannote[74].end |
392.45909375 |
transcript.pyannote[75].speaker |
SPEAKER_03 |
transcript.pyannote[75].start |
392.79659375 |
transcript.pyannote[75].end |
393.85971875 |
transcript.pyannote[76].speaker |
SPEAKER_03 |
transcript.pyannote[76].start |
394.23096875 |
transcript.pyannote[76].end |
401.84159375 |
transcript.pyannote[77].speaker |
SPEAKER_03 |
transcript.pyannote[77].start |
402.16221875 |
transcript.pyannote[77].end |
403.81596875 |
transcript.pyannote[78].speaker |
SPEAKER_03 |
transcript.pyannote[78].start |
404.15346875 |
transcript.pyannote[78].end |
406.80284375 |
transcript.pyannote[79].speaker |
SPEAKER_03 |
transcript.pyannote[79].start |
406.90409375 |
transcript.pyannote[79].end |
416.75909375 |
transcript.pyannote[80].speaker |
SPEAKER_03 |
transcript.pyannote[80].start |
417.07971875 |
transcript.pyannote[80].end |
420.60659375 |
transcript.pyannote[81].speaker |
SPEAKER_03 |
transcript.pyannote[81].start |
420.89346875 |
transcript.pyannote[81].end |
423.88034375 |
transcript.pyannote[82].speaker |
SPEAKER_03 |
transcript.pyannote[82].start |
424.25159375 |
transcript.pyannote[82].end |
437.17784375 |
transcript.pyannote[83].speaker |
SPEAKER_03 |
transcript.pyannote[83].start |
437.46471875 |
transcript.pyannote[83].end |
441.12659375 |
transcript.pyannote[84].speaker |
SPEAKER_03 |
transcript.pyannote[84].start |
441.49784375 |
transcript.pyannote[84].end |
442.61159375 |
transcript.pyannote[85].speaker |
SPEAKER_03 |
transcript.pyannote[85].start |
443.18534375 |
transcript.pyannote[85].end |
446.25659375 |
transcript.pyannote[86].speaker |
SPEAKER_03 |
transcript.pyannote[86].start |
446.67846875 |
transcript.pyannote[86].end |
452.58471875 |
transcript.pyannote[87].speaker |
SPEAKER_03 |
transcript.pyannote[87].start |
452.66909375 |
transcript.pyannote[87].end |
458.13659375 |
transcript.pyannote[88].speaker |
SPEAKER_03 |
transcript.pyannote[88].start |
458.94659375 |
transcript.pyannote[88].end |
459.85784375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
460.12784375 |
transcript.pyannote[89].end |
462.40596875 |
transcript.pyannote[90].speaker |
SPEAKER_03 |
transcript.pyannote[90].start |
462.55784375 |
transcript.pyannote[90].end |
472.15971875 |
transcript.pyannote[91].speaker |
SPEAKER_03 |
transcript.pyannote[91].start |
472.80096875 |
transcript.pyannote[91].end |
473.34096875 |
transcript.pyannote[92].speaker |
SPEAKER_03 |
transcript.pyannote[92].start |
473.93159375 |
transcript.pyannote[92].end |
478.87596875 |
transcript.pyannote[93].speaker |
SPEAKER_03 |
transcript.pyannote[93].start |
479.82096875 |
transcript.pyannote[93].end |
481.50846875 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
482.01471875 |
transcript.pyannote[94].end |
485.81159375 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
486.67221875 |
transcript.pyannote[95].end |
489.30471875 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
489.47346875 |
transcript.pyannote[96].end |
489.50721875 |
transcript.pyannote[97].speaker |
SPEAKER_03 |
transcript.pyannote[97].start |
489.50721875 |
transcript.pyannote[97].end |
490.03034375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
490.53659375 |
transcript.pyannote[98].end |
491.34659375 |
transcript.pyannote[99].speaker |
SPEAKER_03 |
transcript.pyannote[99].start |
491.43096875 |
transcript.pyannote[99].end |
491.92034375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
491.92034375 |
transcript.pyannote[100].end |
505.21784375 |
transcript.pyannote[101].speaker |
SPEAKER_03 |
transcript.pyannote[101].start |
505.21784375 |
transcript.pyannote[101].end |
511.68096875 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
512.00159375 |
transcript.pyannote[102].end |
512.28846875 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
512.72721875 |
transcript.pyannote[103].end |
513.04784375 |
transcript.pyannote[104].speaker |
SPEAKER_03 |
transcript.pyannote[104].start |
512.91284375 |
transcript.pyannote[104].end |
513.13221875 |
transcript.pyannote[105].speaker |
SPEAKER_03 |
transcript.pyannote[105].start |
513.70596875 |
transcript.pyannote[105].end |
514.95471875 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
514.46534375 |
transcript.pyannote[106].end |
514.68471875 |
transcript.pyannote[107].speaker |
SPEAKER_03 |
transcript.pyannote[107].start |
516.11909375 |
transcript.pyannote[107].end |
519.71346875 |
transcript.pyannote[108].speaker |
SPEAKER_03 |
transcript.pyannote[108].start |
520.38846875 |
transcript.pyannote[108].end |
520.89471875 |
transcript.pyannote[109].speaker |
SPEAKER_03 |
transcript.pyannote[109].start |
521.46846875 |
transcript.pyannote[109].end |
523.25721875 |
transcript.pyannote[110].speaker |
SPEAKER_03 |
transcript.pyannote[110].start |
523.83096875 |
transcript.pyannote[110].end |
525.16409375 |
transcript.pyannote[111].speaker |
SPEAKER_03 |
transcript.pyannote[111].start |
525.40034375 |
transcript.pyannote[111].end |
537.98909375 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
538.69784375 |
transcript.pyannote[112].end |
539.11971875 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
539.99721875 |
transcript.pyannote[113].end |
542.44409375 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
542.76471875 |
transcript.pyannote[114].end |
546.02159375 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
546.56159375 |
transcript.pyannote[115].end |
548.41784375 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
549.49784375 |
transcript.pyannote[116].end |
550.37534375 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
552.09659375 |
transcript.pyannote[117].end |
555.08346875 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
555.60659375 |
transcript.pyannote[118].end |
568.83659375 |
transcript.pyannote[119].speaker |
SPEAKER_03 |
transcript.pyannote[119].start |
568.11096875 |
transcript.pyannote[119].end |
573.94971875 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
570.25409375 |
transcript.pyannote[120].end |
578.59034375 |
transcript.pyannote[121].speaker |
SPEAKER_03 |
transcript.pyannote[121].start |
578.75909375 |
transcript.pyannote[121].end |
580.09221875 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
580.09221875 |
transcript.pyannote[122].end |
585.30659375 |
transcript.pyannote[123].speaker |
SPEAKER_03 |
transcript.pyannote[123].start |
584.78346875 |
transcript.pyannote[123].end |
589.67721875 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
587.88846875 |
transcript.pyannote[124].end |
588.83346875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
589.32284375 |
transcript.pyannote[125].end |
591.44909375 |
transcript.pyannote[126].speaker |
SPEAKER_03 |
transcript.pyannote[126].start |
590.72346875 |
transcript.pyannote[126].end |
591.75284375 |
transcript.pyannote[127].speaker |
SPEAKER_03 |
transcript.pyannote[127].start |
592.17471875 |
transcript.pyannote[127].end |
596.03909375 |
transcript.pyannote[128].speaker |
SPEAKER_03 |
transcript.pyannote[128].start |
596.14034375 |
transcript.pyannote[128].end |
599.51534375 |
transcript.pyannote[129].speaker |
SPEAKER_03 |
transcript.pyannote[129].start |
600.17346875 |
transcript.pyannote[129].end |
603.14346875 |
transcript.pyannote[130].speaker |
SPEAKER_03 |
transcript.pyannote[130].start |
603.32909375 |
transcript.pyannote[130].end |
604.98284375 |
transcript.pyannote[131].speaker |
SPEAKER_03 |
transcript.pyannote[131].start |
605.37096875 |
transcript.pyannote[131].end |
609.01596875 |
transcript.pyannote[132].speaker |
SPEAKER_03 |
transcript.pyannote[132].start |
609.13409375 |
transcript.pyannote[132].end |
618.97221875 |
transcript.pyannote[133].speaker |
SPEAKER_03 |
transcript.pyannote[133].start |
619.83284375 |
transcript.pyannote[133].end |
621.90846875 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
622.41471875 |
transcript.pyannote[134].end |
637.51784375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
638.09159375 |
transcript.pyannote[135].end |
643.17096875 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
643.52534375 |
transcript.pyannote[136].end |
651.81096875 |
transcript.pyannote[137].speaker |
SPEAKER_03 |
transcript.pyannote[137].start |
649.75221875 |
transcript.pyannote[137].end |
652.55346875 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
652.55346875 |
transcript.pyannote[138].end |
685.69596875 |
transcript.pyannote[139].speaker |
SPEAKER_03 |
transcript.pyannote[139].start |
684.71721875 |
transcript.pyannote[139].end |
692.81721875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
692.02409375 |
transcript.pyannote[140].end |
695.04471875 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
695.21346875 |
transcript.pyannote[141].end |
697.32284375 |
transcript.pyannote[142].speaker |
SPEAKER_03 |
transcript.pyannote[142].start |
695.68596875 |
transcript.pyannote[142].end |
698.03159375 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
697.54221875 |
transcript.pyannote[143].end |
704.44409375 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
705.10221875 |
transcript.pyannote[144].end |
708.88221875 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
709.05096875 |
transcript.pyannote[145].end |
712.18971875 |
transcript.pyannote[146].speaker |
SPEAKER_03 |
transcript.pyannote[146].start |
711.64971875 |
transcript.pyannote[146].end |
715.54784375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
715.04159375 |
transcript.pyannote[147].end |
718.65284375 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
718.72034375 |
transcript.pyannote[148].end |
724.08659375 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
724.15409375 |
transcript.pyannote[149].end |
726.71909375 |
transcript.pyannote[150].speaker |
SPEAKER_03 |
transcript.pyannote[150].start |
725.68971875 |
transcript.pyannote[150].end |
726.11159375 |
transcript.pyannote[151].speaker |
SPEAKER_03 |
transcript.pyannote[151].start |
726.22971875 |
transcript.pyannote[151].end |
729.31784375 |
transcript.pyannote[152].speaker |
SPEAKER_03 |
transcript.pyannote[152].start |
729.80721875 |
transcript.pyannote[152].end |
743.23971875 |
transcript.pyannote[153].speaker |
SPEAKER_03 |
transcript.pyannote[153].start |
743.74596875 |
transcript.pyannote[153].end |
745.19721875 |
transcript.pyannote[154].speaker |
SPEAKER_03 |
transcript.pyannote[154].start |
746.22659375 |
transcript.pyannote[154].end |
751.08659375 |
transcript.pyannote[155].speaker |
SPEAKER_03 |
transcript.pyannote[155].start |
751.42409375 |
transcript.pyannote[155].end |
755.60909375 |
transcript.pyannote[156].speaker |
SPEAKER_03 |
transcript.pyannote[156].start |
755.98034375 |
transcript.pyannote[156].end |
759.62534375 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
759.77721875 |
transcript.pyannote[157].end |
770.66159375 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
771.04971875 |
transcript.pyannote[158].end |
802.08284375 |
transcript.pyannote[159].speaker |
SPEAKER_03 |
transcript.pyannote[159].start |
784.78596875 |
transcript.pyannote[159].end |
786.64221875 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
802.20096875 |
transcript.pyannote[160].end |
810.09846875 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
810.38534375 |
transcript.pyannote[161].end |
825.43784375 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
825.92721875 |
transcript.pyannote[162].end |
838.76909375 |
transcript.pyannote[163].speaker |
SPEAKER_03 |
transcript.pyannote[163].start |
838.46534375 |
transcript.pyannote[163].end |
846.61596875 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
838.85346875 |
transcript.pyannote[164].end |
841.62096875 |
transcript.pyannote[165].speaker |
SPEAKER_03 |
transcript.pyannote[165].start |
847.13909375 |
transcript.pyannote[165].end |
849.70409375 |
transcript.pyannote[166].speaker |
SPEAKER_03 |
transcript.pyannote[166].start |
850.29471875 |
transcript.pyannote[166].end |
852.37034375 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
852.52221875 |
transcript.pyannote[167].end |
858.05721875 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
858.41159375 |
transcript.pyannote[168].end |
863.17034375 |
transcript.pyannote[169].speaker |
SPEAKER_03 |
transcript.pyannote[169].start |
861.11159375 |
transcript.pyannote[169].end |
863.32221875 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
863.32221875 |
transcript.pyannote[170].end |
863.33909375 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
863.40659375 |
transcript.pyannote[171].end |
868.97534375 |
transcript.pyannote[172].speaker |
SPEAKER_03 |
transcript.pyannote[172].start |
868.77284375 |
transcript.pyannote[172].end |
869.44784375 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
869.04284375 |
transcript.pyannote[173].end |
869.22846875 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
869.76846875 |
transcript.pyannote[174].end |
871.97909375 |
transcript.pyannote[175].speaker |
SPEAKER_03 |
transcript.pyannote[175].start |
870.84846875 |
transcript.pyannote[175].end |
883.47096875 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
883.47096875 |
transcript.pyannote[176].end |
906.15096875 |
transcript.pyannote[177].speaker |
SPEAKER_03 |
transcript.pyannote[177].start |
893.20784375 |
transcript.pyannote[177].end |
895.18221875 |
transcript.pyannote[178].speaker |
SPEAKER_03 |
transcript.pyannote[178].start |
904.44659375 |
transcript.pyannote[178].end |
914.03159375 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
912.20909375 |
transcript.pyannote[179].end |
915.65159375 |
transcript.pyannote[180].speaker |
SPEAKER_03 |
transcript.pyannote[180].start |
914.63909375 |
transcript.pyannote[180].end |
919.92096875 |
transcript.pyannote[181].speaker |
SPEAKER_03 |
transcript.pyannote[181].start |
920.37659375 |
transcript.pyannote[181].end |
921.42284375 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
922.35096875 |
transcript.pyannote[182].end |
938.28096875 |
transcript.pyannote[183].speaker |
SPEAKER_03 |
transcript.pyannote[183].start |
936.00284375 |
transcript.pyannote[183].end |
936.82971875 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
942.36471875 |
transcript.pyannote[184].end |
943.96784375 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
944.82846875 |
transcript.pyannote[185].end |
945.97596875 |
transcript.whisperx[0].start |
19.633 |
transcript.whisperx[0].end |
22.254 |
transcript.whisperx[0].text |
好 謝副院長 麻煩我們總統派卓院長請卓院長備詢 |
transcript.whisperx[1].start |
36.334 |
transcript.whisperx[1].end |
55.382 |
transcript.whisperx[1].text |
現在國務房忙,內有風災、雁塞湖外有國際挑戰,還有周邊的中國的威脅跟侵擾我們今天在審查因應國際情勢強化經濟、社會及民生國安任性特別預算案法案通過了,現在進行預算的審查 |
transcript.whisperx[2].start |
56.062 |
transcript.whisperx[2].end |
74.63 |
transcript.whisperx[2].text |
所以就這幾個問題我大家請教那有相關部會要上來說明也可以自己上來補充啦我第一個先回到我們這個預算的源頭其實是因為川普總統的對等關稅開始的那我們知道鄭麗君副院長剛去美國一趟然後又已經回來了 |
transcript.whisperx[3].start |
75.33 |
transcript.whisperx[3].end |
100.337 |
transcript.whisperx[3].text |
那目前美國政府因為撥款不足的問題聯邦政府關門導致美國聯邦雇員75萬人暫時停擺所以我要請教一下就院長的了解目前我們對美關稅已經接近在最後關頭了在最後的一個談判的階段會不會被這個美國政府聯邦政府關門所影響把達成協議達成結論的時程往後延 |
transcript.whisperx[4].start |
104.158 |
transcript.whisperx[4].end |
114.783 |
transcript.whisperx[4].text |
好 謝謝委員目前台美雙方已經完成了所謂最後的技術性的磋商但是最後那個總結性會議達成協議部分還沒有完成 |
transcript.whisperx[5].start |
116.072 |
transcript.whisperx[5].end |
139.494 |
transcript.whisperx[5].text |
因為達成技術性受傷之後是個別回去再做一些細部做一些審視他最重要是最後一個總結會議總結會議一定他我們看過去美方跟其他各國的總結會議都有一定差不多模式這個模式現在我們也無法預測美國方面因為他國內的這些變化情況但是我們認為一個政府不會長時間的停滯下來 |
transcript.whisperx[6].start |
141.516 |
transcript.whisperx[6].end |
158.19 |
transcript.whisperx[6].text |
他們曾經最久關門時間是三十四五天不過我問的問題就你目前掌握的狀況我們對美基礎性磋商就這一趟去大概談完了接下來叫最後磋商最後談判那因為他有個期限我們一般預估在十月份應該要有個結論了 |
transcript.whisperx[7].start |
159.471 |
transcript.whisperx[7].end |
180.132 |
transcript.whisperx[7].text |
那這個十月份要結論牽涉到台灣國內太多的產業太多的勞工了所以我剛才問的問題是就目前行政院掌握的狀況美國聯邦政府暫停暫時停止營業關門連台灣的AIT官方email不能用網頁不能用然後有些業務要暫停 |
transcript.whisperx[8].start |
181.373 |
transcript.whisperx[8].end |
210.433 |
transcript.whisperx[8].text |
對美的談判的部分的期程預計十月份要結論這件事情會不會因為這個美國聯邦政府暫時關門往後延據政府院長回來的消息雙方最後並沒有談到一個最後的期限但是雙方都有共識盡快的達成這個期限那我認為現在十月初如果用十月底來做一個想像的話那足以讓雙方政府在最後的階段做更多的準備達成最後的協議那我們也朝這個方式來進行 |
transcript.whisperx[9].start |
212.074 |
transcript.whisperx[9].end |
232.786 |
transcript.whisperx[9].text |
院長你剛才那段話我可不可以詮釋你也期待在十月底前要有結論我認為我們的產業界跟國人都很期待趕快定案下來落點落在哪裡我們的整個產業支持的方案可以全力的實施就我從美方的相關人員聽起來也預計在十月份應該要有結論希望是如此本席才會擔心說進戶關門啊 |
transcript.whisperx[10].start |
235.988 |
transcript.whisperx[10].end |
254.677 |
transcript.whisperx[10].text |
聯邦政府關門而且還要裁員幾千個人會不會因為這個跟這個不相干的事物反而導致我們騎乘往後拖延這一點可能要多加關注我們除了自己趕快把我們的整個最後協商的所有的方案完成之外我們也祝福美方政府盡快恢復正常 |
transcript.whisperx[11].start |
255.557 |
transcript.whisperx[11].end |
274.126 |
transcript.whisperx[11].text |
這是他們的內政問題由他們來解決所以我們目前行政院期待的是在10月底前有關對美關稅能夠達成最後的結論希望如此我們也期待鄭麗君副院長作為有關談判的總負責人我們希望很多訊息在 |
transcript.whisperx[12].start |
275.707 |
transcript.whisperx[12].end |
303.875 |
transcript.whisperx[12].text |
違反彼此默契因為跟美國跟各國談判都一樣雙方有約定要保密就是要保密不保密反而傷害國家的利益但在可以的情形下盡量讓國人瞭解目前進度特別是對中小企業以美國為主要市場的這些產業他有備料的問題他有產能閒置的問題他有我把準備什麼要開始訂單這個部分我會建議行政院跟我們的財經相關部門 |
transcript.whisperx[13].start |
305.076 |
transcript.whisperx[13].end |
314.277 |
transcript.whisperx[13].text |
能夠透明的請一下盡量讓業者跟相關的人能夠了解情形是的 我們一直在這樣做產業座談當中也告訴他們一些應該因應的方式 |
transcript.whisperx[14].start |
315.066 |
transcript.whisperx[14].end |
338.669 |
transcript.whisperx[14].text |
那接下來我要請教是我們當然在審特別預算我們了解特別預算是在預算法裡面第83條要嘛就國防緊急設施或戰爭第二個是國家經濟重大變故這個算是我們這個特別算有兩條大概第一條第二條第三個是重大災變丹納斯那個大概就是屬於第三條但我們特別預算會用到條文 |
transcript.whisperx[15].start |
339.85 |
transcript.whisperx[15].end |
361.897 |
transcript.whisperx[15].text |
一二三條我們都用到了那第四條是不定期或數年一次的重大正事我真的覺得還好因為曾經國民黨的委員要提案把特別預算的法源全部刪除那時候我們就說千萬不要這樣做因為特別預算還是要受立法院的審查監督特別預算還是要有決算報告受審計 |
transcript.whisperx[16].start |
363.237 |
transcript.whisperx[16].end |
386.052 |
transcript.whisperx[16].text |
另外特別預算也不是另外開個淨庫它也不會超過我們的舉債上限它全部都納入的它不是另外開了一個方便的路所以還好特別預算沒有當時在政黨的競爭下被人一時衝動把它拿掉了否則現在很多因應都沒辦法來做但是基於這四個特別預算在預算法裡面所規定 |
transcript.whisperx[17].start |
387.513 |
transcript.whisperx[17].end |
416.485 |
transcript.whisperx[17].text |
本席看了有關我們國防部這邊請國防部長一併來回答就是說我們在國防部在這一個因應國際情勢的強化國安任性的特別預算案裡面有1132億是跟國防部有關我看了裡面的細項裡面第一大類佔了673億大概都是屬於職管 通信 任性裡面還包含了要建立軍民的 |
transcript.whisperx[18].start |
417.285 |
transcript.whisperx[18].end |
440.656 |
transcript.whisperx[18].text |
COP共同圖像等等這邊佔了一塊另外一塊叫設備更新後時戰備我看了裡面是包含了彈藥庫包含了一些軍事設施另外一個是屬於海巡的部分守護海疆保護人民31這裡面包含了這個指管韌性還有軍民共同圖像等等 |
transcript.whisperx[19].start |
441.576 |
transcript.whisperx[19].end |
459.74 |
transcript.whisperx[19].text |
我先請教那個國防部長我們現在管主委也上來就我了解陸軍現在的共同圖像還是屬於局部性的那你現在要建立所謂軍民共同圖像你那個名是不是指的是海巡署共同圖像的部分 |
transcript.whisperx[20].start |
460.488 |
transcript.whisperx[20].end |
484.795 |
transcript.whisperx[20].text |
主要是跟海巡跟海巡嘛那因為我們陸軍本身的共同圖像還有待更完整現在不能說沒有但要更完整更建立那你這邊花了五億要跟我們自己還在增進當中那我現在跟海巡在建立共同圖像這個會不會有點順序上的問題我們那個共同的圖像是 |
transcript.whisperx[21].start |
486.721 |
transcript.whisperx[21].end |
511.372 |
transcript.whisperx[21].text |
我們現在是一個叫做台灣戰術網路TPN就這個台灣戰術網路我們會除了海巡以外我們還有陸軍的雷達海軍的雷達的這些進岸的部分我們為了要增加海域的決志這個部分也把它納進來所以不僅陸軍我們海軍大概也要跟海巡要在這個共同圖像下進行相關的執管作業對這個武藝 |
transcript.whisperx[22].start |
516.155 |
transcript.whisperx[22].end |
537.452 |
transcript.whisperx[22].text |
在建立所謂的指管系統跟共同圖像就我了解其實這個經費算是遠遠不足所以我是不是可以預計除了在這一個特別預算會看到這一個建立指管任性 治安防護 共同圖像我們未來還會看到很多類似的預算因為五億沒辦法建立這個東西 |
transcript.whisperx[23].start |
540.066 |
transcript.whisperx[23].end |
552.9 |
transcript.whisperx[23].text |
因為這相關的TDN的部分也就是台灣戰術網路它事實上是從一個戰術的層級一直在做一個擴展 |
transcript.whisperx[24].start |
555.68 |
transcript.whisperx[24].end |
572.905 |
transcript.whisperx[24].text |
那我們將這個海巡跟陸軍還有海軍的雷達來進入到這個台灣戰術網路裡面最主要的目的當然就是讓接收這個當面的這些雷達所以原來海巡是沒有的原來海巡沒有在這個台灣戰術的剛剛委員問的是說我們就那個台灣戰術網路還會繼續在 |
transcript.whisperx[25].start |
578.386 |
transcript.whisperx[25].end |
599.317 |
transcript.whisperx[25].text |
發展未來還要再精進對對對那我們將比較不屬於機敏的這個部分我們所以海巡得到的權限是我們把機敏以外的可以跟他們共用就對了我們會跟他共享所以5分鐘要給管主委也要給顧部長來提就是說特別預算必須要有他的急迫性跟必要性 |
transcript.whisperx[26].start |
600.197 |
transcript.whisperx[26].end |
621.659 |
transcript.whisperx[26].text |
當然有在野黨在挑戰這一點說你這個預算放到年度預算就好啦為什麼要放到特別預算裡面年度預算就能編了這些項目為什麼不放到年度預算我是不是先請顧部長在國防部的立場有關國安任性裡面它的急迫性跟必要性在哪裡 |
transcript.whisperx[27].start |
622.752 |
transcript.whisperx[27].end |
637.291 |
transcript.whisperx[27].text |
跟委員報告一下我舉一個彈藥庫作為例子好了我們在過去用作業為指揮來看的話我們的彈藥庫組的設施大概近三年平均一年只能大概編列一億一千多萬元 |
transcript.whisperx[28].start |
638.374 |
transcript.whisperx[28].end |
667.774 |
transcript.whisperx[28].text |
我們現在因為有大量的新式武器會進來我們也要有足夠的囤儲所以我們必須要整建這樣這是急迫性急迫性的為什麼不放在年度裡面我另外舉個例子就是說我們的訓場也要快速的整建所以因為因應整個後備戰力的提升還有我們一年級EVE的要即將人會陸續到位所以我們一年級的EVE也會增加 |
transcript.whisperx[29].start |
669.454 |
transcript.whisperx[29].end |
694.382 |
transcript.whisperx[29].text |
所以我們這個訓場如果按照用年度預算來做整修的話平均一年大概都只能到三億多所以我們現在要全面優化它的話我們總共編導要有四十億這樣我們快速的能夠所以在顧部長的講法是原來的年度預算在做這些項目金額源源不足可能要花很多年才堅持完成因為你如果把所有的預算都擺在這個部分 |
transcript.whisperx[30].start |
695.402 |
transcript.whisperx[30].end |
704.197 |
transcript.whisperx[30].text |
會排擠到其他的軍頭因為作業的維持會主要在裝備的妥善他一定把裝備的妥善放在優先的項目 |
transcript.whisperx[31].start |
705.368 |
transcript.whisperx[31].end |
724.983 |
transcript.whisperx[31].text |
可是裝備的妥占放在優先項目裡他剩下來的餘額就只能夠維持平常的這些會影響到我們維持戰備妥占率的支出必要戰備妥占一定是優先用到作業維持會對不對那剩下來有關彈藥的整建還有訓場的設施的改建等等的這些就都沒有什麼錢 |
transcript.whisperx[32].start |
725.823 |
transcript.whisperx[32].end |
744.732 |
transcript.whisperx[32].text |
所以你剛才說明了必要性跟急迫性尤其事實上二屋戰爭就讓我們看到其實我們的彈藥準備是嚴重不足需要增加儲存量新式彈藥進來如果這些產障沒有蓋起來的話它進來了你的廚房會是一個問題那我剩下時間給管主委啦我看過你在委員會 |
transcript.whisperx[33].start |
746.277 |
transcript.whisperx[33].end |
759.353 |
transcript.whisperx[33].text |
替海巡弟兄們在講這些預算的問題你可不可以用簡單來說明一下在這一個國安任性特別預算裡面海巡這個預算的部分它的急迫性跟必要性在哪裡 |
transcript.whisperx[34].start |
761.262 |
transcript.whisperx[34].end |
782.909 |
transcript.whisperx[34].text |
同樣的如果說海巡它在下個階段的大轉型我們真的要很快的來上路很快的能夠有進度的話那就沒有辦法用公務預算的平滑預算一點一點一點一點慢慢的來累積所以它一定必須像特別預算這樣子讓我們能夠很快的同時齊頭並進 |
transcript.whisperx[35].start |
784.95 |
transcript.whisperx[35].end |
809.782 |
transcript.whisperx[35].text |
你在同時投入的東西是說以海空一體來講我們是從空中就必須要增加無人載具的全面的部署那另外一直到水面我們目前水面的無人載具是完全是零水下也完全是零那麼新的造艦計畫又到了應該要開始下個階段的時候所以從水下水面 |
transcript.whisperx[36].start |
810.462 |
transcript.whisperx[36].end |
824.829 |
transcript.whisperx[36].text |
一直到空中然後從有人到無人我們如果齊頭並進的話它本身就是非常的擁擠那另外就是說即使是情間真的部分我們不只是一重我們必須 |
transcript.whisperx[37].start |
826.01 |
transcript.whisperx[37].end |
852.263 |
transcript.whisperx[37].text |
例如我們現在沒有夜視的功能所以我們必須有一層是有夜視的功能那另外我們次世代的雷達我們也必須要升級在雷達的這一層能夠到更遠距其實我們目前如果十二海我們過去幾年看到很多小艇穿越到淡水河口啦到台中那不是海巡不認真是你的裝備看不見所以你現在急著把這個洞補起來嘛 |
transcript.whisperx[38].start |
852.823 |
transcript.whisperx[38].end |
869.22 |
transcript.whisperx[38].text |
對 因為來得太快而且同時來得種類太多元來得襲擾的類型太多元了所以妳認為放在年度預算編列我們沒辦法用年度預算的平滑預算慢慢慢慢去建置那個真的是會來不及 |
transcript.whisperx[39].start |
870.201 |
transcript.whisperx[39].end |
882.409 |
transcript.whisperx[39].text |
會來不及而且我請教妳因為今天日本毒麥新聞揭露說台日甚至叫它美國三國之間的海巡將常態性的聯合的演習妳對這個訊息有沒有什麼評論各位委員報告 |
transcript.whisperx[40].start |
885.411 |
transcript.whisperx[40].end |
913.829 |
transcript.whisperx[40].text |
因為是獨賣新聞的揭露所以會說的這麼仔細那事實上這個事情發生已經有我們過去幾年跟日本已經有了那這個行動相關的揭露都是從日本那邊來揭露那我們樂於看到說日本更願意積極的去揭露主委 這個訊息其實因為剩30秒這訊息其實過去都已經揭露過了也真的發生了台日或台美聯合的海軍的演習都有 |
transcript.whisperx[41].start |
914.73 |
transcript.whisperx[41].end |
936.339 |
transcript.whisperx[41].text |
那我現在要請教是 以往演習的地點要嘛就南太 要嘛就日本海周邊台海周邊會不會各位委員報告 我們大概演習是跟南海以及北方我們北方跟日本 南方跟菲律賓台海會不會 |
transcript.whisperx[42].start |
944.896 |
transcript.whisperx[42].end |
945.893 |
transcript.whisperx[42].text |
好 谢谢王伟 |