IVOD_ID |
159011 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159011 |
日期 |
2025-03-11 |
會議資料.會議代碼 |
全院委員會-11-3-2 |
會議資料.會議代碼:str |
第11屆第3會期第2次全院委員會會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
2 |
會議資料.種類 |
全院委員會 |
會議資料.標題 |
第11屆第3會期第2次全院委員會會議 |
影片種類 |
Clip |
開始時間 |
2025-03-11T11:08:37+08:00 |
結束時間 |
2025-03-11T11:24:09+08:00 |
影片長度 |
00:15:32 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/a37056a99b6ff728b934af9bcc836fb731125bfab2e25e257baf9d4aee1cbbae938357d8e0506d445ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
王定宇 |
委員發言時間 |
11:08:37 - 11:24:09 |
會議時間 |
2025-03-11T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第2次全院委員會會議(事由:一、「中華民國114年度中央政府總預算案」覆議案(3月11日)。二、「財政收支劃分法」第八條、第十六條之一及第三十條條文覆議案(3月12日)。) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
8.18159375 |
transcript.pyannote[0].end |
11.30346875 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
11.84346875 |
transcript.pyannote[1].end |
14.45909375 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
21.41159375 |
transcript.pyannote[2].end |
22.45784375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
22.99784375 |
transcript.pyannote[3].end |
26.98034375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
27.92534375 |
transcript.pyannote[4].end |
38.99534375 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
39.70409375 |
transcript.pyannote[5].end |
41.25659375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
42.60659375 |
transcript.pyannote[6].end |
45.81284375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
46.31909375 |
transcript.pyannote[7].end |
52.93409375 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
54.18284375 |
transcript.pyannote[8].end |
54.77346875 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
55.93784375 |
transcript.pyannote[9].end |
59.00909375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
59.51534375 |
transcript.pyannote[10].end |
62.43471875 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
62.72159375 |
transcript.pyannote[11].end |
66.16409375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
66.83909375 |
transcript.pyannote[12].end |
68.29034375 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
68.44221875 |
transcript.pyannote[13].end |
69.64034375 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
69.82596875 |
transcript.pyannote[14].end |
70.93971875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
72.15471875 |
transcript.pyannote[15].end |
73.70721875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
74.31471875 |
transcript.pyannote[16].end |
79.74846875 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
79.98471875 |
transcript.pyannote[17].end |
80.32221875 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
80.32221875 |
transcript.pyannote[18].end |
86.97096875 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
87.73034375 |
transcript.pyannote[19].end |
89.19846875 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
89.62034375 |
transcript.pyannote[20].end |
91.00409375 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
91.56096875 |
transcript.pyannote[21].end |
93.01221875 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
93.24846875 |
transcript.pyannote[22].end |
94.29471875 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
94.83471875 |
transcript.pyannote[23].end |
96.91034375 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
97.11284375 |
transcript.pyannote[24].end |
101.48346875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
98.29409375 |
transcript.pyannote[25].end |
98.93534375 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
99.30659375 |
transcript.pyannote[26].end |
99.67784375 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
101.71971875 |
transcript.pyannote[27].end |
104.62221875 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
105.16221875 |
transcript.pyannote[28].end |
119.77596875 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
118.91534375 |
transcript.pyannote[29].end |
122.71221875 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
122.67846875 |
transcript.pyannote[30].end |
123.18471875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
122.79659375 |
transcript.pyannote[31].end |
130.86284375 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
131.67284375 |
transcript.pyannote[32].end |
132.93846875 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
133.47846875 |
transcript.pyannote[33].end |
137.20784375 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
137.68034375 |
transcript.pyannote[34].end |
138.27096875 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
139.06409375 |
transcript.pyannote[35].end |
142.55721875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
143.02971875 |
transcript.pyannote[36].end |
145.89846875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
146.06721875 |
transcript.pyannote[37].end |
149.15534375 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
149.66159375 |
transcript.pyannote[38].end |
151.12971875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
151.65284375 |
transcript.pyannote[39].end |
153.44159375 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
153.44159375 |
transcript.pyannote[40].end |
153.45846875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
154.52159375 |
transcript.pyannote[41].end |
155.46659375 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
156.39471875 |
transcript.pyannote[42].end |
173.15159375 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
167.54909375 |
transcript.pyannote[43].end |
170.48534375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
172.89846875 |
transcript.pyannote[44].end |
178.65284375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
178.88909375 |
transcript.pyannote[45].end |
201.73784375 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
201.97409375 |
transcript.pyannote[46].end |
208.36971875 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
208.69034375 |
transcript.pyannote[47].end |
228.51846875 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
229.37909375 |
transcript.pyannote[48].end |
230.00346875 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
230.62784375 |
transcript.pyannote[49].end |
231.58971875 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
231.58971875 |
transcript.pyannote[50].end |
233.91846875 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
233.20971875 |
transcript.pyannote[51].end |
235.16721875 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
235.45409375 |
transcript.pyannote[52].end |
244.00971875 |
transcript.pyannote[53].speaker |
SPEAKER_02 |
transcript.pyannote[53].start |
245.05596875 |
transcript.pyannote[53].end |
263.02784375 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
259.21409375 |
transcript.pyannote[54].end |
262.04909375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
263.02784375 |
transcript.pyannote[55].end |
266.43659375 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
267.24659375 |
transcript.pyannote[56].end |
269.38971875 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
269.96346875 |
transcript.pyannote[57].end |
273.20346875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
273.55784375 |
transcript.pyannote[58].end |
275.22846875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
275.73471875 |
transcript.pyannote[59].end |
279.73409375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
281.06721875 |
transcript.pyannote[60].end |
283.54784375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
284.34096875 |
transcript.pyannote[61].end |
287.24346875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
287.83409375 |
transcript.pyannote[62].end |
289.08284375 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
289.47096875 |
transcript.pyannote[63].end |
291.90096875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
293.68971875 |
transcript.pyannote[64].end |
296.86221875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
297.84096875 |
transcript.pyannote[65].end |
298.66784375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
299.10659375 |
transcript.pyannote[66].end |
299.76471875 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
299.95034375 |
transcript.pyannote[67].end |
303.91596875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
304.64159375 |
transcript.pyannote[68].end |
305.45159375 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
305.75534375 |
transcript.pyannote[69].end |
306.66659375 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
307.74659375 |
transcript.pyannote[70].end |
311.50971875 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
311.96534375 |
transcript.pyannote[71].end |
318.51284375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
319.13721875 |
transcript.pyannote[72].end |
319.99784375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
320.26784375 |
transcript.pyannote[73].end |
321.39846875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
321.60096875 |
transcript.pyannote[74].end |
322.05659375 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
322.76534375 |
transcript.pyannote[75].end |
324.23346875 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
324.70596875 |
transcript.pyannote[76].end |
325.60034375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
326.44409375 |
transcript.pyannote[77].end |
327.99659375 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
328.19909375 |
transcript.pyannote[78].end |
330.12284375 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
330.59534375 |
transcript.pyannote[79].end |
331.87784375 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
331.99596875 |
transcript.pyannote[80].end |
332.65409375 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
333.26159375 |
transcript.pyannote[81].end |
333.85221875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
334.37534375 |
transcript.pyannote[82].end |
335.92784375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
336.38346875 |
transcript.pyannote[83].end |
337.95284375 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
338.30721875 |
transcript.pyannote[84].end |
339.82596875 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
339.97784375 |
transcript.pyannote[85].end |
340.38284375 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
340.11284375 |
transcript.pyannote[86].end |
340.29846875 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
340.58534375 |
transcript.pyannote[87].end |
346.37346875 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
346.99784375 |
transcript.pyannote[88].end |
349.17471875 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
349.54596875 |
transcript.pyannote[89].end |
351.11534375 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
351.48659375 |
transcript.pyannote[90].end |
353.56221875 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
353.88284375 |
transcript.pyannote[91].end |
358.84409375 |
transcript.pyannote[92].speaker |
SPEAKER_02 |
transcript.pyannote[92].start |
359.40096875 |
transcript.pyannote[92].end |
363.90659375 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
363.99096875 |
transcript.pyannote[93].end |
364.51409375 |
transcript.pyannote[94].speaker |
SPEAKER_02 |
transcript.pyannote[94].start |
365.07096875 |
transcript.pyannote[94].end |
366.11721875 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
366.33659375 |
transcript.pyannote[95].end |
368.59784375 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
368.78346875 |
transcript.pyannote[96].end |
394.61909375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
393.77534375 |
transcript.pyannote[97].end |
395.24346875 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
395.24346875 |
transcript.pyannote[98].end |
411.13971875 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
395.29409375 |
transcript.pyannote[99].end |
395.78346875 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
409.80659375 |
transcript.pyannote[100].end |
410.90346875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
411.29159375 |
transcript.pyannote[101].end |
413.62034375 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
414.36284375 |
transcript.pyannote[102].end |
423.67784375 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
424.21784375 |
transcript.pyannote[103].end |
426.64784375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
426.90096875 |
transcript.pyannote[104].end |
433.70159375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
434.25846875 |
transcript.pyannote[105].end |
436.04721875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
436.51971875 |
transcript.pyannote[106].end |
438.44346875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
439.79346875 |
transcript.pyannote[107].end |
441.22784375 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
441.81846875 |
transcript.pyannote[108].end |
443.92784375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
444.51846875 |
transcript.pyannote[109].end |
447.84284375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
448.06221875 |
transcript.pyannote[110].end |
449.05784375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
449.44596875 |
transcript.pyannote[111].end |
452.77034375 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
453.07409375 |
transcript.pyannote[112].end |
458.38971875 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
453.63096875 |
transcript.pyannote[113].end |
453.64784375 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
453.64784375 |
transcript.pyannote[114].end |
453.96846875 |
transcript.pyannote[115].speaker |
SPEAKER_02 |
transcript.pyannote[115].start |
453.96846875 |
transcript.pyannote[115].end |
454.03596875 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
454.03596875 |
transcript.pyannote[116].end |
454.76159375 |
transcript.pyannote[117].speaker |
SPEAKER_02 |
transcript.pyannote[117].start |
454.76159375 |
transcript.pyannote[117].end |
454.82909375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
456.60096875 |
transcript.pyannote[118].end |
457.20846875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
458.62596875 |
transcript.pyannote[119].end |
460.58346875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
461.30909375 |
transcript.pyannote[120].end |
462.01784375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
462.40596875 |
transcript.pyannote[121].end |
464.97096875 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
464.97096875 |
transcript.pyannote[122].end |
465.07221875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
465.07221875 |
transcript.pyannote[123].end |
465.27471875 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
465.27471875 |
transcript.pyannote[124].end |
467.89034375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
467.89034375 |
transcript.pyannote[125].end |
467.92409375 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
467.92409375 |
transcript.pyannote[126].end |
468.09284375 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
469.13909375 |
transcript.pyannote[127].end |
469.98284375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
470.96159375 |
transcript.pyannote[128].end |
472.73346875 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
473.07096875 |
transcript.pyannote[129].end |
478.97721875 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
479.98971875 |
transcript.pyannote[130].end |
481.39034375 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
482.52096875 |
transcript.pyannote[131].end |
483.78659375 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
485.65971875 |
transcript.pyannote[132].end |
487.31346875 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
487.81971875 |
transcript.pyannote[133].end |
490.01346875 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
491.22846875 |
transcript.pyannote[134].end |
493.05096875 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
493.70909375 |
transcript.pyannote[135].end |
505.30221875 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
507.09096875 |
transcript.pyannote[136].end |
507.93471875 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
508.13721875 |
transcript.pyannote[137].end |
510.39846875 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
510.87096875 |
transcript.pyannote[138].end |
512.59221875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
512.91284375 |
transcript.pyannote[139].end |
519.86534375 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
520.30409375 |
transcript.pyannote[140].end |
532.04909375 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
532.13346875 |
transcript.pyannote[141].end |
535.06971875 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
536.68971875 |
transcript.pyannote[142].end |
537.63471875 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
537.82034375 |
transcript.pyannote[143].end |
540.73971875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
541.49909375 |
transcript.pyannote[144].end |
542.88284375 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
543.16971875 |
transcript.pyannote[145].end |
546.47721875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
546.69659375 |
transcript.pyannote[146].end |
555.03284375 |
transcript.pyannote[147].speaker |
SPEAKER_02 |
transcript.pyannote[147].start |
555.23534375 |
transcript.pyannote[147].end |
559.18409375 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
559.55534375 |
transcript.pyannote[148].end |
563.36909375 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
560.36534375 |
transcript.pyannote[149].end |
561.12471875 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
563.68971875 |
transcript.pyannote[150].end |
565.25909375 |
transcript.pyannote[151].speaker |
SPEAKER_02 |
transcript.pyannote[151].start |
565.69784375 |
transcript.pyannote[151].end |
565.73159375 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
566.55846875 |
transcript.pyannote[152].end |
568.04346875 |
transcript.pyannote[153].speaker |
SPEAKER_02 |
transcript.pyannote[153].start |
568.21221875 |
transcript.pyannote[153].end |
569.39346875 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
570.96284375 |
transcript.pyannote[154].end |
578.75909375 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
578.16846875 |
transcript.pyannote[155].end |
586.13346875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
586.43721875 |
transcript.pyannote[156].end |
588.29346875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
588.93471875 |
transcript.pyannote[157].end |
590.23409375 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
590.62221875 |
transcript.pyannote[158].end |
602.08034375 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
604.72971875 |
transcript.pyannote[159].end |
605.38784375 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
606.33284375 |
transcript.pyannote[160].end |
607.34534375 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
607.86846875 |
transcript.pyannote[161].end |
609.30284375 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
609.60659375 |
transcript.pyannote[162].end |
611.02409375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
611.29409375 |
transcript.pyannote[163].end |
611.96909375 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
612.61034375 |
transcript.pyannote[164].end |
614.24721875 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
615.36096875 |
transcript.pyannote[165].end |
615.98534375 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
616.64346875 |
transcript.pyannote[166].end |
618.70221875 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
618.71909375 |
transcript.pyannote[167].end |
626.22846875 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
626.65034375 |
transcript.pyannote[168].end |
641.85471875 |
transcript.pyannote[169].speaker |
SPEAKER_02 |
transcript.pyannote[169].start |
642.22596875 |
transcript.pyannote[169].end |
644.08221875 |
transcript.pyannote[170].speaker |
SPEAKER_02 |
transcript.pyannote[170].start |
644.43659375 |
transcript.pyannote[170].end |
651.37221875 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
651.77721875 |
transcript.pyannote[171].end |
661.42971875 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
662.29034375 |
transcript.pyannote[172].end |
681.78096875 |
transcript.pyannote[173].speaker |
SPEAKER_02 |
transcript.pyannote[173].start |
681.93284375 |
transcript.pyannote[173].end |
684.48096875 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
684.48096875 |
transcript.pyannote[174].end |
685.86471875 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
686.62409375 |
transcript.pyannote[175].end |
686.64096875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
686.64096875 |
transcript.pyannote[176].end |
689.89784375 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
690.33659375 |
transcript.pyannote[177].end |
693.00284375 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
693.96471875 |
transcript.pyannote[178].end |
695.17971875 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
695.70284375 |
transcript.pyannote[179].end |
696.51284375 |
transcript.pyannote[180].speaker |
SPEAKER_02 |
transcript.pyannote[180].start |
697.42409375 |
transcript.pyannote[180].end |
700.69784375 |
transcript.pyannote[181].speaker |
SPEAKER_02 |
transcript.pyannote[181].start |
700.79909375 |
transcript.pyannote[181].end |
710.06346875 |
transcript.pyannote[182].speaker |
SPEAKER_02 |
transcript.pyannote[182].start |
710.13096875 |
transcript.pyannote[182].end |
712.32471875 |
transcript.pyannote[183].speaker |
SPEAKER_02 |
transcript.pyannote[183].start |
712.51034375 |
transcript.pyannote[183].end |
717.55596875 |
transcript.pyannote[184].speaker |
SPEAKER_02 |
transcript.pyannote[184].start |
717.89346875 |
transcript.pyannote[184].end |
724.59284375 |
transcript.pyannote[185].speaker |
SPEAKER_02 |
transcript.pyannote[185].start |
724.71096875 |
transcript.pyannote[185].end |
738.17721875 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
724.91346875 |
transcript.pyannote[186].end |
726.19596875 |
transcript.pyannote[187].speaker |
SPEAKER_02 |
transcript.pyannote[187].start |
738.46409375 |
transcript.pyannote[187].end |
741.99096875 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
740.70846875 |
transcript.pyannote[188].end |
741.77159375 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
742.42971875 |
transcript.pyannote[189].end |
743.72909375 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
744.55596875 |
transcript.pyannote[190].end |
745.56846875 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
745.78784375 |
transcript.pyannote[191].end |
760.90784375 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
761.73471875 |
transcript.pyannote[192].end |
762.19034375 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
763.27034375 |
transcript.pyannote[193].end |
764.35034375 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
764.80596875 |
transcript.pyannote[194].end |
766.24034375 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
766.54409375 |
transcript.pyannote[195].end |
768.53534375 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
769.48034375 |
transcript.pyannote[196].end |
770.99909375 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
771.58971875 |
transcript.pyannote[197].end |
773.20971875 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
773.47971875 |
transcript.pyannote[198].end |
775.25159375 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
775.70721875 |
transcript.pyannote[199].end |
781.42784375 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
782.30534375 |
transcript.pyannote[200].end |
785.61284375 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
786.03471875 |
transcript.pyannote[201].end |
790.45596875 |
transcript.pyannote[202].speaker |
SPEAKER_01 |
transcript.pyannote[202].start |
791.21534375 |
transcript.pyannote[202].end |
792.31221875 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
792.81846875 |
transcript.pyannote[203].end |
797.77971875 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
798.10034375 |
transcript.pyannote[204].end |
802.70721875 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
803.60159375 |
transcript.pyannote[205].end |
813.40596875 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
813.69284375 |
transcript.pyannote[206].end |
823.93596875 |
transcript.pyannote[207].speaker |
SPEAKER_01 |
transcript.pyannote[207].start |
824.30721875 |
transcript.pyannote[207].end |
827.24346875 |
transcript.pyannote[208].speaker |
SPEAKER_01 |
transcript.pyannote[208].start |
829.04909375 |
transcript.pyannote[208].end |
851.66159375 |
transcript.pyannote[209].speaker |
SPEAKER_01 |
transcript.pyannote[209].start |
851.77971875 |
transcript.pyannote[209].end |
852.43784375 |
transcript.pyannote[210].speaker |
SPEAKER_01 |
transcript.pyannote[210].start |
852.50534375 |
transcript.pyannote[210].end |
854.09159375 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
854.98596875 |
transcript.pyannote[211].end |
855.59346875 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
855.74534375 |
transcript.pyannote[212].end |
856.47096875 |
transcript.pyannote[213].speaker |
SPEAKER_01 |
transcript.pyannote[213].start |
857.34846875 |
transcript.pyannote[213].end |
860.09909375 |
transcript.pyannote[214].speaker |
SPEAKER_01 |
transcript.pyannote[214].start |
860.79096875 |
transcript.pyannote[214].end |
863.89596875 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
864.06471875 |
transcript.pyannote[215].end |
867.45659375 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
867.89534375 |
transcript.pyannote[216].end |
868.75596875 |
transcript.pyannote[217].speaker |
SPEAKER_00 |
transcript.pyannote[217].start |
868.99221875 |
transcript.pyannote[217].end |
870.69659375 |
transcript.pyannote[218].speaker |
SPEAKER_00 |
transcript.pyannote[218].start |
871.00034375 |
transcript.pyannote[218].end |
872.14784375 |
transcript.pyannote[219].speaker |
SPEAKER_00 |
transcript.pyannote[219].start |
872.31659375 |
transcript.pyannote[219].end |
874.88159375 |
transcript.pyannote[220].speaker |
SPEAKER_00 |
transcript.pyannote[220].start |
875.16846875 |
transcript.pyannote[220].end |
876.07971875 |
transcript.pyannote[221].speaker |
SPEAKER_00 |
transcript.pyannote[221].start |
876.48471875 |
transcript.pyannote[221].end |
877.34534375 |
transcript.pyannote[222].speaker |
SPEAKER_00 |
transcript.pyannote[222].start |
877.76721875 |
transcript.pyannote[222].end |
879.37034375 |
transcript.pyannote[223].speaker |
SPEAKER_00 |
transcript.pyannote[223].start |
880.48409375 |
transcript.pyannote[223].end |
882.67784375 |
transcript.pyannote[224].speaker |
SPEAKER_00 |
transcript.pyannote[224].start |
882.81284375 |
transcript.pyannote[224].end |
884.11221875 |
transcript.pyannote[225].speaker |
SPEAKER_00 |
transcript.pyannote[225].start |
884.53409375 |
transcript.pyannote[225].end |
885.95159375 |
transcript.pyannote[226].speaker |
SPEAKER_00 |
transcript.pyannote[226].start |
886.44096875 |
transcript.pyannote[226].end |
887.06534375 |
transcript.pyannote[227].speaker |
SPEAKER_00 |
transcript.pyannote[227].start |
887.72346875 |
transcript.pyannote[227].end |
890.84534375 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
889.19159375 |
transcript.pyannote[228].end |
894.96284375 |
transcript.pyannote[229].speaker |
SPEAKER_00 |
transcript.pyannote[229].start |
894.96284375 |
transcript.pyannote[229].end |
895.28346875 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
895.28346875 |
transcript.pyannote[230].end |
925.21971875 |
transcript.pyannote[231].speaker |
SPEAKER_00 |
transcript.pyannote[231].start |
897.42659375 |
transcript.pyannote[231].end |
897.96659375 |
transcript.pyannote[232].speaker |
SPEAKER_02 |
transcript.pyannote[232].start |
930.21471875 |
transcript.pyannote[232].end |
931.44659375 |
transcript.whisperx[0].start |
8.606 |
transcript.whisperx[0].end |
14.228 |
transcript.whisperx[0].text |
謝謝副院長,麻煩我們院長還有國防部長請左院長還有國防部長備詢謝謝王委員,王委員好我想這一次 |
transcript.whisperx[1].start |
28.001 |
transcript.whisperx[1].end |
54.509 |
transcript.whisperx[1].text |
立法院在總預算這樣子的處理方式是史無前例我們在場不分任何政黨我們從來沒有看到總預算審完到一個多月總預算審訊報告書寫不出來寫出來的竟然沒有數字然後對國家來講我們台灣每一個人都能夠在這一次藍白合作癱瘓政府運作當中找到自己受害的位置這個是 |
transcript.whisperx[2].start |
55.981 |
transcript.whisperx[2].end |
70.782 |
transcript.whisperx[2].text |
坦白講這不是黨派的問題這已經是國家遇到的困境那本席今天就國防預算的部分他的傷害跟影響來就教於兩位那我們看一下在國防預算簡列的部分 |
transcript.whisperx[3].start |
72.433 |
transcript.whisperx[3].end |
88.491 |
transcript.whisperx[3].text |
部長我們被檢列了84億4千多萬總共有15個案子是你可不可以概述一下這些檢列案對我們國防運作上還有對盟友之間有沒有產生什麼樣的影響我想 |
transcript.whisperx[4].start |
89.707 |
transcript.whisperx[4].end |
104.461 |
transcript.whisperx[4].text |
我舉其中最關鍵的就是說因為他現在過去的這個統三之後他都可以我這邊有個表啦有一個科目自己可以調整那現在最重要的就是他現在有不得留用 |
transcript.whisperx[5].start |
105.199 |
transcript.whisperx[5].end |
128.36 |
transcript.whisperx[5].text |
那這個不得留用其中有一個國外旅會跟出國教育訓練費用3減了15%也就是2.4億元這樣子的一個弧度它會影響到我們的新式武器裝備換裝所需要的我是覺得我們可以用讓民眾了解的狀況我們公務預算我們不含基金不含每年的特別預算的分攤我們編列了4760億 |
transcript.whisperx[6].start |
132.098 |
transcript.whisperx[6].end |
155.048 |
transcript.whisperx[6].text |
檢列的部分軍事裝備及設施預算檢列51億3%這個會影響到我們武器系統建軍的規劃基建裝甲車等零附件的籌補這時候老舊裝備的換裝更新會受這個影響我們的軍人的步槍是不是在這裡面新式步槍 |
transcript.whisperx[7].start |
156.488 |
transcript.whisperx[7].end |
175.093 |
transcript.whisperx[7].text |
是,我想這個部分我們事實上在之前提出給行政院就已經提出過了就如委員所講的,確實會無法滿足老舊裝備更新態度包括我們T112的步槍要換裝嘛那這些零附件的籌補是相當的重要另外一般事務費跟水電費,3減了16.7億 |
transcript.whisperx[8].start |
179.875 |
transcript.whisperx[8].end |
208.049 |
transcript.whisperx[8].text |
這個對於不管是戰備訓練基本維持會有影響另外我們的戰備工程國外差旅費像國外差旅費整個三減掉兩億砍掉了15%這個影響到我們到國外的交流跟接裝我們從去年開始每年兩個聯兵營到美國受訓我們F16V開始要進行接裝部長可不可以就這個項目有關這一個出國的費用被減劣了兩億造成的傷害跟影響 |
transcript.whisperx[9].start |
208.929 |
transcript.whisperx[9].end |
229.759 |
transcript.whisperx[9].text |
對,我覺得最主要就是說,因為有很多在野黨的委員一直說他這個刪的弧度沒有很大但是問題是除了剛剛院長報告有對很多機關有針對性的一個刪減之外就這個部分呢,他最重要他又加了四個字,就是不得留用也就是說 |
transcript.whisperx[10].start |
233.222 |
transcript.whisperx[10].end |
240.808 |
transcript.whisperx[10].text |
我沒有辦法拿自行調整科目所以這樣子的話整個金額是高達2.4億元他這個高達2.4億元之後呢 |
transcript.whisperx[11].start |
245.42 |
transcript.whisperx[11].end |
263.78 |
transcript.whisperx[11].text |
剛剛已經提到了新式的武器我們本來就一定要到美國去接裝訓練這個會有影響更重要的是我們赴國外協訓所需要的金額我們會有一定的要求我們現在一定要逐漸達到一定的規模跟涉及所需要的訓練這個影響很大 |
transcript.whisperx[12].start |
267.304 |
transcript.whisperx[12].end |
291.61 |
transcript.whisperx[12].text |
我們不管海馬士我們要派人去受訓F16V新的相關的裝備要派人去受訓我們的聯兵營去受訓這個費用砍掉了還不能讓你留用也就是說沒有就是沒有啊那相對的盟友得到的訊息是你連接裝換裝訓練各方面你的錢都砍掉如果作為你的朋友我還要來幫你的忙 |
transcript.whisperx[13].start |
293.749 |
transcript.whisperx[13].end |
308.818 |
transcript.whisperx[13].text |
台灣的事就是人家的事就台灣自己當作沒事這樣會出事喔我可能要跑快一點因為時間的關係剛才是三減的部分喔我們再看一下凍結的部分4760億的國防公務預算凍結有279案合計凍結899億4千萬元這大概史上最高了啦我們來看細項 |
transcript.whisperx[14].start |
323.53 |
transcript.whisperx[14].end |
344.599 |
transcript.whisperx[14].text |
這個往前走那這一個預算的凍結裡面我特別注意到有一個是有關我們的油料我們的去彈藥的籌貨凍結了百分之三十嘛凍結了百分之三十所以這個部分是不是請部長或院長說明清楚就是說他看起來好像是業務費幫你凍結了三十趴 |
transcript.whisperx[15].start |
347.06 |
transcript.whisperx[15].end |
366.905 |
transcript.whisperx[15].text |
我們現在國防部的運作是等到這70%用完了我們最後剩三個月再來解凍還是從現在開始我們就只能動之70%是不是部長請說明一下他應該有一個條件就是說要到達一定的我們的解凍條件才可以 |
transcript.whisperx[16].start |
368.922 |
transcript.whisperx[16].end |
387.531 |
transcript.whisperx[16].text |
那另外就是說因為這個部分會涉及到這個整個作業為止就我們的零護艦各式彈藥訓練經費還有軍事投資包括陸軍的仁西式短程的防空飛彈高效能反彈藥飛彈攻擊的無人機海軍的輕型七代型巡防艦第二階段的原型艦的籌建 |
transcript.whisperx[17].start |
388.411 |
transcript.whisperx[17].end |
410.649 |
transcript.whisperx[17].text |
康定級的系統的性能的升級還有空軍的新式高調機還有艾二性能我們拉法葉的升級也在這裡還有採購艾三還有高高空無人機等等那這些主要的問題是在過去都是委員會書面報告後就可以解凍那它現在百分之三十的業務費的部分是要到院會做報告之後我請教院長這個所謂院會在 |
transcript.whisperx[18].start |
414.689 |
transcript.whisperx[18].end |
438.019 |
transcript.whisperx[18].text |
這個我只有凍結而已嘛你不夠的拿來嘛我們院會在解凍嘛我們如果在立法院代表院會一年開幾次這個解凍的困難度是不是請院長說明一下這次的凍結的金額雖然大院是沒有宣布我們自己把它調算出來整個決議案過程我們是算成1300多億啦但是其中很多到院會那我想金額是比以前多程序是比以前難 |
transcript.whisperx[19].start |
441.872 |
transcript.whisperx[19].end |
469.649 |
transcript.whisperx[19].text |
那如果都到院會來解凍的話我剛剛已經報告過了過去98年到113年90%的案子 最後一件的解凍案都在11月或12月我想 國家容不得這樣的一個拖延所以我有一句話 山多少 國家的建設就撿多少解凍慢多久 國家的發展就慢多久其實到11月解凍 這預算等於沒有了啦你知道 |
transcript.whisperx[20].start |
470.987 |
transcript.whisperx[20].end |
483.253 |
transcript.whisperx[20].text |
共軍燒了我們的ADIZ我們的空軍飛行員跑到頭五分鐘待命拉上去之後還要準備第二波就有料凍結30%但要凍結30%怎麼會這樣對自己國家的軍人呢中國增加軍費到八兆台幣 |
transcript.whisperx[21].start |
491.277 |
transcript.whisperx[21].end |
505.043 |
transcript.whisperx[21].text |
今年度他們還增加7.2%就我們自己把30%彈藥 油料以及相關的船艦各方面都把它凍結起來而且解凍的條件如此之嚴苛我們再看一個例子下一個 |
transcript.whisperx[22].start |
507.148 |
transcript.whisperx[22].end |
533.153 |
transcript.whisperx[22].text |
像民雄 我都不知道自己人哪裡得罪了藍白 我也不知道無人機的發展對我們的經貿產業鼓勵人剛從美國述職回來他去川普 他不用回去喔他是不用回華府報到卻被川普政府叫回去去了解美國政府現在最新對台政策回到台灣裡面有一項希望建立非紅無人機供應鏈結果我們無人機的園區被凍結50% |
transcript.whisperx[23].start |
538.156 |
transcript.whisperx[23].end |
554.024 |
transcript.whisperx[23].text |
這個在籌備階段給它凍結另外還有一個案子 下一個像我們相關的零附件保修凍結10%那個顧部長我們的保修跟零附件其實原來的預算就不太夠了現在要凍結10%對軍中產生什麼影響對 這個凍結10%高達76.4億元這個非常不利 76億 76億點4億元這個金額 |
transcript.whisperx[24].start |
566.636 |
transcript.whisperx[24].end |
587.816 |
transcript.whisperx[24].text |
很明顯的就是說我們各型的機艦、戰甲、炮車等主要裝備都要進行維保跟妥善不然的話會影響整個部隊的戰演性任務你這個零附件裡面其實還包含了我們現在要提升國軍因為每一個軍人弟兄姊妹都是我們所珍惜的他的抗彈版在這裡面 |
transcript.whisperx[25].start |
589.011 |
transcript.whisperx[25].end |
602.139 |
transcript.whisperx[25].text |
你也把它弄掉10%那這抗彈板面對共軍換磚6.8厘米的我們也在提升防護力所以這些東西是可以討論的需不需要該怎麼做現在沒有就把你通通凍起來我們再看下一個潛艦部長你好好說明一下我們的海昆號潛艦後續艦的籌劃的20億被凍結50% |
transcript.whisperx[26].start |
615.564 |
transcript.whisperx[26].end |
643.029 |
transcript.whisperx[26].text |
這一個我們潛艦要能夠造成功國外願意冒著中共制裁經濟制裁的風險提供相關的裝備跟技術協助這是很重要的我們自己國內的廠商的合作意願這是重要的我們過去幾年來在台船跟海軍訓練的專業人才能夠留下來這是重要的這個凍結50%就部長了解它產生什麼樣的負面影響跟委員報告 |
transcript.whisperx[27].start |
645.421 |
transcript.whisperx[27].end |
658.535 |
transcript.whisperx[27].text |
這個潛艦預算主要是我們九月才能夠完成海上的測試那如果完成海上測試之後按照我之前的承諾就是說等海上測試以後我們就凍職可是它現在凍結之後要經過院會的專報 |
transcript.whisperx[28].start |
662.349 |
transcript.whisperx[28].end |
685.239 |
transcript.whisperx[28].text |
院會的專報那如果沒有辦法排入院會的專報的話他就沒有辦法順利解凍那後續建的計畫的節點包括這個裝備合約會的繳付或者是國外政府的輸出許可降低廠商的合作意願流失這個一些造建的專業人才等等就會衝擊到後續建的一個建造他產生的影響 |
transcript.whisperx[29].start |
687.067 |
transcript.whisperx[29].end |
706.475 |
transcript.whisperx[29].text |
有一個是往後延取得時間往後延還有一種可能性如果這些輸出許可沒有了搞不好後續間就沒有了有沒有這個風險如果我們沒有辦法順利解凍的話確實會有因為我們這個整個潛艦的這個水下的海 |
transcript.whisperx[30].start |
707.583 |
transcript.whisperx[30].end |
721.925 |
transcript.whisperx[30].text |
SAT的測試是要到下半年那下半年如果過了那我們希望馬上就順利解凍的話那當然就可以支應那這個這一個國外的廠商他會看到這樣子的一個解凍 |
transcript.whisperx[31].start |
722.619 |
transcript.whisperx[31].end |
722.779 |
transcript.whisperx[31].text |
台灣遇到的威脅 |
transcript.whisperx[32].start |
744.619 |
transcript.whisperx[32].end |
767.785 |
transcript.whisperx[32].text |
別人何必人家犯不著為了你冒風險如果你自己都不確定那我們不是說預算不該監督你就把它通過之後帶SAT通過我們來處理現在又綁定在院會其實困難度相當高我有一個總的統計數字那個各家算法不一樣但根據剛才我們國防部的公務預算 |
transcript.whisperx[33].start |
769.48 |
transcript.whisperx[33].end |
776.567 |
transcript.whisperx[33].text |
編了4760億 簡列84億 凍結899億加起來的話 三家凍的比例高達20.67%這也就是為什麼美國軍事委員會在審查COBI也就是美國負責政策的副部長的聽證會 |
transcript.whisperx[34].start |
791.26 |
transcript.whisperx[34].end |
802.521 |
transcript.whisperx[34].text |
不管是蘇利文或者其他的參議員他提出的關係而且他們這次點得很清楚甚至包含帕廷吉爾 博明來到立法院拜會的時候 |
transcript.whisperx[35].start |
803.632 |
transcript.whisperx[35].end |
827.037 |
transcript.whisperx[35].text |
他這個是有授權說可以說出來的他也在關心說不要再講你動多少撿多少當你做了動作把台灣國家安全預算往下一壓釋放給在華府川普的新任官員只有得到一個印象你台灣根本不重視自己的安全你都不重視我為什麼對你的關心要超過你自己甚至於不排除有些人把他壓低 |
transcript.whisperx[36].start |
829.124 |
transcript.whisperx[36].end |
855.922 |
transcript.whisperx[36].text |
是樂見於台灣人民被北京所管理這是很嚴重的訊號當時像Partinger也好或者Sullivan也好他用的是emergency他說這是一個緊急狀態台灣各界必須重視而Sullivan在聽證會的時候還特別說台灣有人看到他這一段聽證請轉述不要再玩這種危險的遊戲所以我最後這個問題要請教那個院長 |
transcript.whisperx[37].start |
857.386 |
transcript.whisperx[37].end |
879.197 |
transcript.whisperx[37].text |
以現在總預算這樣遇到的狀況追加啊解凍啊這樣就可以改革啦你做院長的知識現在藍白提出的解決方案能解決這問題嗎如果真的誠心誠意讓國家按部就班的走向一個發展而且跟世界接軌的路就盡快的能夠讓預算如數的如期的執行 |
transcript.whisperx[38].start |
880.56 |
transcript.whisperx[38].end |
908.155 |
transcript.whisperx[38].text |
追加或是用其他的方式都耗費時日如果能夠通過附議案重新協商再一次我想很短的時間就可以了你都知道應該要追加了你為什麼不把原始預算處理好嘛是你都講要追加了你就知道這有算有問題啊那這不是面子問題這國家跟人民的利益問題你都認為說你就辦追加嘛我幫你追加那你原始預算我們透過附議好好把它處理也就是 |
transcript.whisperx[39].start |
908.855 |
transcript.whisperx[39].end |
909.075 |
transcript.whisperx[39].text |
謝謝王委員 |