| IVOD_ID |
166643 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/166643 |
| 日期 |
2025-12-24 |
| 會議資料.會議代碼 |
委員會-11-4-20-14 |
| 會議資料.會議代碼:str |
第11屆第4會期財政委員會第14次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
4 |
| 會議資料.會次 |
14 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
20 |
| 會議資料.委員會代碼:str[0] |
財政委員會 |
| 會議資料.標題 |
第11屆第4會期財政委員會第14次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-12-24T11:04:34+08:00 |
| 結束時間 |
2025-12-24T11:17:29+08:00 |
| 影片長度 |
00:12:55 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/8b793423fad44d603207734acf1b23ca63a8c7f6258665b2d81c25c0c566a88af5e92c6d24b32f115ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
顏寬恒 |
| 委員發言時間 |
11:04:34 - 11:17:29 |
| 會議時間 |
2025-12-24T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4會期財政委員會第14次全體委員會議(事由:邀請行政院主計總處陳主計長淑姿、財政部莊部長翠雲、金融監督管理委員會彭主任委員金隆、國家發展委員會副主任委員、內政部次長、外交部次長、國防部副部長、教育部次長、法務部次長、經濟部次長、交通部次長、勞動部次長、農業部次長、衛生福利部次長、運動部次長、環境部次長、文化部次長、數位發展部次長、僑務委員會副委員長、國家科學及技術委員會副主任委員、海洋委員會副主任委員、國軍退除役官兵輔導委員會副主任委員、人事行政總處副人事長、國立故宮博物院副院長、原住民族委員會副主任委員、客家委員會副主任委員、中央選舉委員會副主任委員、核能安全委員會副主任委員、公平交易委員會副主任委員、國家通訊傳播委員會副主任委員、大陸委員會副主任委員、公共工程委員會副主任委員就「115年度中央政府總預算案至今尚未審查,近3,000億元之新興、新增計畫將無法推動,對國家整體發展之影響」進行專題報告,並備質詢。) |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
1.19534375 |
| transcript.pyannote[0].end |
1.53284375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
2.07284375 |
| transcript.pyannote[1].end |
5.39721875 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
5.58284375 |
| transcript.pyannote[2].end |
6.29159375 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
7.40534375 |
| transcript.pyannote[3].end |
7.77659375 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
7.97909375 |
| transcript.pyannote[4].end |
8.53596875 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
9.63284375 |
| transcript.pyannote[5].end |
10.57784375 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
13.85159375 |
| transcript.pyannote[6].end |
14.52659375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
15.04971875 |
| transcript.pyannote[7].end |
16.02846875 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
16.66971875 |
| transcript.pyannote[8].end |
20.58471875 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
21.34409375 |
| transcript.pyannote[9].end |
24.44909375 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
24.87096875 |
| transcript.pyannote[10].end |
25.88346875 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
25.98471875 |
| transcript.pyannote[11].end |
26.89596875 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
27.09846875 |
| transcript.pyannote[12].end |
29.34284375 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
29.54534375 |
| transcript.pyannote[13].end |
30.65909375 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
31.11471875 |
| transcript.pyannote[14].end |
32.43096875 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
33.39284375 |
| transcript.pyannote[15].end |
37.00409375 |
| transcript.pyannote[16].speaker |
SPEAKER_03 |
| transcript.pyannote[16].start |
37.29096875 |
| transcript.pyannote[16].end |
37.39221875 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
38.45534375 |
| transcript.pyannote[17].end |
38.79284375 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
40.69971875 |
| transcript.pyannote[18].end |
44.66534375 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
44.78346875 |
| transcript.pyannote[19].end |
62.80596875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
64.67909375 |
| transcript.pyannote[20].end |
65.16846875 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
65.80971875 |
| transcript.pyannote[21].end |
68.98221875 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
69.91034375 |
| transcript.pyannote[22].end |
71.12534375 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
71.46284375 |
| transcript.pyannote[23].end |
72.39096875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
73.87596875 |
| transcript.pyannote[24].end |
75.74909375 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
76.27221875 |
| transcript.pyannote[25].end |
81.67221875 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
82.09409375 |
| transcript.pyannote[26].end |
83.41034375 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
83.62971875 |
| transcript.pyannote[27].end |
87.84846875 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
88.20284375 |
| transcript.pyannote[28].end |
90.73409375 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
91.30784375 |
| transcript.pyannote[29].end |
93.11346875 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
94.21034375 |
| transcript.pyannote[30].end |
96.25221875 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
96.82596875 |
| transcript.pyannote[31].end |
99.40784375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
99.59346875 |
| transcript.pyannote[32].end |
100.52159375 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
100.90971875 |
| transcript.pyannote[33].end |
103.62659375 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
104.55471875 |
| transcript.pyannote[34].end |
105.11159375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
105.49971875 |
| transcript.pyannote[35].end |
106.29284375 |
| transcript.pyannote[36].speaker |
SPEAKER_01 |
| transcript.pyannote[36].start |
107.28846875 |
| transcript.pyannote[36].end |
135.31784375 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
134.81159375 |
| transcript.pyannote[37].end |
137.15721875 |
| transcript.pyannote[38].speaker |
SPEAKER_01 |
| transcript.pyannote[38].start |
137.15721875 |
| transcript.pyannote[38].end |
138.16971875 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
137.52846875 |
| transcript.pyannote[39].end |
148.51409375 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
141.93284375 |
| transcript.pyannote[40].end |
142.43909375 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
149.20596875 |
| transcript.pyannote[41].end |
158.16659375 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
158.40284375 |
| transcript.pyannote[42].end |
160.19159375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
161.23784375 |
| transcript.pyannote[43].end |
161.99721875 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
162.77346875 |
| transcript.pyannote[44].end |
163.38096875 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
163.93784375 |
| transcript.pyannote[45].end |
164.24159375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
164.71409375 |
| transcript.pyannote[46].end |
165.08534375 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
166.45221875 |
| transcript.pyannote[47].end |
180.74534375 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
180.82971875 |
| transcript.pyannote[48].end |
186.36471875 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
186.66846875 |
| transcript.pyannote[49].end |
188.84534375 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
189.41909375 |
| transcript.pyannote[50].end |
191.24159375 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
191.98409375 |
| transcript.pyannote[51].end |
193.60409375 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
194.54909375 |
| transcript.pyannote[52].end |
195.46034375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
196.16909375 |
| transcript.pyannote[53].end |
197.70471875 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
198.78471875 |
| transcript.pyannote[54].end |
199.67909375 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
200.16846875 |
| transcript.pyannote[55].end |
201.70409375 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
202.09221875 |
| transcript.pyannote[56].end |
203.84721875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
204.04971875 |
| transcript.pyannote[57].end |
206.44596875 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
206.71596875 |
| transcript.pyannote[58].end |
209.58471875 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
209.97284375 |
| transcript.pyannote[59].end |
212.87534375 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
213.19596875 |
| transcript.pyannote[60].end |
215.54159375 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
216.04784375 |
| transcript.pyannote[61].end |
216.55409375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
216.77346875 |
| transcript.pyannote[62].end |
217.34721875 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
217.87034375 |
| transcript.pyannote[63].end |
220.55346875 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
221.27909375 |
| transcript.pyannote[64].end |
221.70096875 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
222.07221875 |
| transcript.pyannote[65].end |
224.08034375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
224.82284375 |
| transcript.pyannote[66].end |
225.14346875 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
225.61596875 |
| transcript.pyannote[67].end |
230.40846875 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
231.75846875 |
| transcript.pyannote[68].end |
233.10846875 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
233.39534375 |
| transcript.pyannote[69].end |
253.67909375 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
250.25346875 |
| transcript.pyannote[70].end |
251.01284375 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
252.19409375 |
| transcript.pyannote[71].end |
255.48471875 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
255.48471875 |
| transcript.pyannote[72].end |
255.70409375 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
256.48034375 |
| transcript.pyannote[73].end |
259.50096875 |
| transcript.pyannote[74].speaker |
SPEAKER_02 |
| transcript.pyannote[74].start |
260.19284375 |
| transcript.pyannote[74].end |
261.39096875 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
266.58846875 |
| transcript.pyannote[75].end |
268.84971875 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
269.47409375 |
| transcript.pyannote[76].end |
273.38909375 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
273.97971875 |
| transcript.pyannote[77].end |
277.69221875 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
278.06346875 |
| transcript.pyannote[78].end |
289.97721875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
290.06159375 |
| transcript.pyannote[79].end |
291.27659375 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
291.46221875 |
| transcript.pyannote[80].end |
294.21284375 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
294.55034375 |
| transcript.pyannote[81].end |
299.51159375 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
300.84471875 |
| transcript.pyannote[82].end |
302.07659375 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
302.38034375 |
| transcript.pyannote[83].end |
305.77221875 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
306.34596875 |
| transcript.pyannote[84].end |
309.04596875 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
309.94034375 |
| transcript.pyannote[85].end |
312.69096875 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
313.24784375 |
| transcript.pyannote[86].end |
316.26846875 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
316.53846875 |
| transcript.pyannote[87].end |
317.60159375 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
318.44534375 |
| transcript.pyannote[88].end |
320.82471875 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
321.53346875 |
| transcript.pyannote[89].end |
323.71034375 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
324.36846875 |
| transcript.pyannote[90].end |
324.87471875 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
325.04346875 |
| transcript.pyannote[91].end |
325.85346875 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
327.00096875 |
| transcript.pyannote[92].end |
328.40159375 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
329.29596875 |
| transcript.pyannote[93].end |
331.00034375 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
331.84409375 |
| transcript.pyannote[94].end |
334.03784375 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
334.64534375 |
| transcript.pyannote[95].end |
337.63221875 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
337.80096875 |
| transcript.pyannote[96].end |
340.48409375 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
341.10846875 |
| transcript.pyannote[97].end |
342.13784375 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
342.52596875 |
| transcript.pyannote[98].end |
342.82971875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
343.63971875 |
| transcript.pyannote[99].end |
344.61846875 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
345.14159375 |
| transcript.pyannote[100].end |
346.17096875 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
347.26784375 |
| transcript.pyannote[101].end |
348.19596875 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
348.31409375 |
| transcript.pyannote[102].end |
349.83284375 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
350.35596875 |
| transcript.pyannote[103].end |
351.48659375 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
352.11096875 |
| transcript.pyannote[104].end |
352.41471875 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
353.42721875 |
| transcript.pyannote[105].end |
354.32159375 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
355.30034375 |
| transcript.pyannote[106].end |
356.11034375 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
356.48159375 |
| transcript.pyannote[107].end |
358.69221875 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
359.48534375 |
| transcript.pyannote[108].end |
360.31221875 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
360.98721875 |
| transcript.pyannote[109].end |
363.06284375 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
363.26534375 |
| transcript.pyannote[110].end |
365.35784375 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
365.83034375 |
| transcript.pyannote[111].end |
370.48784375 |
| transcript.pyannote[112].speaker |
SPEAKER_03 |
| transcript.pyannote[112].start |
368.02409375 |
| transcript.pyannote[112].end |
369.61034375 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
370.75784375 |
| transcript.pyannote[113].end |
372.25971875 |
| transcript.pyannote[114].speaker |
SPEAKER_03 |
| transcript.pyannote[114].start |
372.37784375 |
| transcript.pyannote[114].end |
373.74471875 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
373.74471875 |
| transcript.pyannote[115].end |
374.03159375 |
| transcript.pyannote[116].speaker |
SPEAKER_03 |
| transcript.pyannote[116].start |
374.03159375 |
| transcript.pyannote[116].end |
374.04846875 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
374.60534375 |
| transcript.pyannote[117].end |
374.62221875 |
| transcript.pyannote[118].speaker |
SPEAKER_03 |
| transcript.pyannote[118].start |
374.62221875 |
| transcript.pyannote[118].end |
402.83721875 |
| transcript.pyannote[119].speaker |
SPEAKER_03 |
| transcript.pyannote[119].start |
402.90471875 |
| transcript.pyannote[119].end |
404.44034375 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
403.42784375 |
| transcript.pyannote[120].end |
406.41471875 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
406.80284375 |
| transcript.pyannote[121].end |
412.92846875 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
413.13096875 |
| transcript.pyannote[122].end |
417.11346875 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
417.43409375 |
| transcript.pyannote[123].end |
418.10909375 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
418.83471875 |
| transcript.pyannote[124].end |
425.83784375 |
| transcript.pyannote[125].speaker |
SPEAKER_00 |
| transcript.pyannote[125].start |
426.42846875 |
| transcript.pyannote[125].end |
427.77846875 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
428.62221875 |
| transcript.pyannote[126].end |
434.14034375 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
434.41034375 |
| transcript.pyannote[127].end |
435.20346875 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
435.55784375 |
| transcript.pyannote[128].end |
438.62909375 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
438.78096875 |
| transcript.pyannote[129].end |
441.16034375 |
| transcript.pyannote[130].speaker |
SPEAKER_00 |
| transcript.pyannote[130].start |
441.68346875 |
| transcript.pyannote[130].end |
442.29096875 |
| transcript.pyannote[131].speaker |
SPEAKER_00 |
| transcript.pyannote[131].start |
443.20221875 |
| transcript.pyannote[131].end |
447.06659375 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
447.64034375 |
| transcript.pyannote[132].end |
451.89284375 |
| transcript.pyannote[133].speaker |
SPEAKER_00 |
| transcript.pyannote[133].start |
452.85471875 |
| transcript.pyannote[133].end |
457.42784375 |
| transcript.pyannote[134].speaker |
SPEAKER_00 |
| transcript.pyannote[134].start |
457.96784375 |
| transcript.pyannote[134].end |
461.47784375 |
| transcript.pyannote[135].speaker |
SPEAKER_00 |
| transcript.pyannote[135].start |
462.08534375 |
| transcript.pyannote[135].end |
462.49034375 |
| transcript.pyannote[136].speaker |
SPEAKER_00 |
| transcript.pyannote[136].start |
463.33409375 |
| transcript.pyannote[136].end |
469.76346875 |
| transcript.pyannote[137].speaker |
SPEAKER_00 |
| transcript.pyannote[137].start |
470.28659375 |
| transcript.pyannote[137].end |
471.34971875 |
| transcript.pyannote[138].speaker |
SPEAKER_00 |
| transcript.pyannote[138].start |
471.48471875 |
| transcript.pyannote[138].end |
472.41284375 |
| transcript.pyannote[139].speaker |
SPEAKER_00 |
| transcript.pyannote[139].start |
473.05409375 |
| transcript.pyannote[139].end |
473.77971875 |
| transcript.pyannote[140].speaker |
SPEAKER_00 |
| transcript.pyannote[140].start |
474.13409375 |
| transcript.pyannote[140].end |
476.68221875 |
| transcript.pyannote[141].speaker |
SPEAKER_00 |
| transcript.pyannote[141].start |
477.03659375 |
| transcript.pyannote[141].end |
479.29784375 |
| transcript.pyannote[142].speaker |
SPEAKER_00 |
| transcript.pyannote[142].start |
479.44971875 |
| transcript.pyannote[142].end |
481.93034375 |
| transcript.pyannote[143].speaker |
SPEAKER_00 |
| transcript.pyannote[143].start |
481.96409375 |
| transcript.pyannote[143].end |
482.60534375 |
| transcript.pyannote[144].speaker |
SPEAKER_00 |
| transcript.pyannote[144].start |
483.22971875 |
| transcript.pyannote[144].end |
483.98909375 |
| transcript.pyannote[145].speaker |
SPEAKER_00 |
| transcript.pyannote[145].start |
486.16596875 |
| transcript.pyannote[145].end |
487.39784375 |
| transcript.pyannote[146].speaker |
SPEAKER_03 |
| transcript.pyannote[146].start |
487.66784375 |
| transcript.pyannote[146].end |
490.99221875 |
| transcript.pyannote[147].speaker |
SPEAKER_00 |
| transcript.pyannote[147].start |
491.53221875 |
| transcript.pyannote[147].end |
502.80471875 |
| transcript.pyannote[148].speaker |
SPEAKER_03 |
| transcript.pyannote[148].start |
491.54909375 |
| transcript.pyannote[148].end |
492.71346875 |
| transcript.pyannote[149].speaker |
SPEAKER_03 |
| transcript.pyannote[149].start |
500.89784375 |
| transcript.pyannote[149].end |
502.29846875 |
| transcript.pyannote[150].speaker |
SPEAKER_03 |
| transcript.pyannote[150].start |
503.12534375 |
| transcript.pyannote[150].end |
503.98596875 |
| transcript.pyannote[151].speaker |
SPEAKER_03 |
| transcript.pyannote[151].start |
504.27284375 |
| transcript.pyannote[151].end |
509.79096875 |
| transcript.pyannote[152].speaker |
SPEAKER_03 |
| transcript.pyannote[152].start |
510.06096875 |
| transcript.pyannote[152].end |
510.60096875 |
| transcript.pyannote[153].speaker |
SPEAKER_00 |
| transcript.pyannote[153].start |
510.71909375 |
| transcript.pyannote[153].end |
511.49534375 |
| transcript.pyannote[154].speaker |
SPEAKER_00 |
| transcript.pyannote[154].start |
511.91721875 |
| transcript.pyannote[154].end |
516.18659375 |
| transcript.pyannote[155].speaker |
SPEAKER_00 |
| transcript.pyannote[155].start |
516.54096875 |
| transcript.pyannote[155].end |
518.27909375 |
| transcript.pyannote[156].speaker |
SPEAKER_03 |
| transcript.pyannote[156].start |
516.69284375 |
| transcript.pyannote[156].end |
516.92909375 |
| transcript.pyannote[157].speaker |
SPEAKER_00 |
| transcript.pyannote[157].start |
518.61659375 |
| transcript.pyannote[157].end |
519.64596875 |
| transcript.pyannote[158].speaker |
SPEAKER_00 |
| transcript.pyannote[158].start |
520.01721875 |
| transcript.pyannote[158].end |
525.11346875 |
| transcript.pyannote[159].speaker |
SPEAKER_00 |
| transcript.pyannote[159].start |
525.65346875 |
| transcript.pyannote[159].end |
530.61471875 |
| transcript.pyannote[160].speaker |
SPEAKER_03 |
| transcript.pyannote[160].start |
532.31909375 |
| transcript.pyannote[160].end |
533.38221875 |
| transcript.pyannote[161].speaker |
SPEAKER_03 |
| transcript.pyannote[161].start |
533.50034375 |
| transcript.pyannote[161].end |
534.02346875 |
| transcript.pyannote[162].speaker |
SPEAKER_03 |
| transcript.pyannote[162].start |
535.40721875 |
| transcript.pyannote[162].end |
536.40284375 |
| transcript.pyannote[163].speaker |
SPEAKER_00 |
| transcript.pyannote[163].start |
536.20034375 |
| transcript.pyannote[163].end |
545.76846875 |
| transcript.pyannote[164].speaker |
SPEAKER_00 |
| transcript.pyannote[164].start |
546.51096875 |
| transcript.pyannote[164].end |
547.89471875 |
| transcript.pyannote[165].speaker |
SPEAKER_00 |
| transcript.pyannote[165].start |
548.45159375 |
| transcript.pyannote[165].end |
551.18534375 |
| transcript.pyannote[166].speaker |
SPEAKER_00 |
| transcript.pyannote[166].start |
551.77596875 |
| transcript.pyannote[166].end |
553.31159375 |
| transcript.pyannote[167].speaker |
SPEAKER_00 |
| transcript.pyannote[167].start |
553.93596875 |
| transcript.pyannote[167].end |
554.71221875 |
| transcript.pyannote[168].speaker |
SPEAKER_00 |
| transcript.pyannote[168].start |
554.98221875 |
| transcript.pyannote[168].end |
562.28909375 |
| transcript.pyannote[169].speaker |
SPEAKER_00 |
| transcript.pyannote[169].start |
562.57596875 |
| transcript.pyannote[169].end |
564.98909375 |
| transcript.pyannote[170].speaker |
SPEAKER_00 |
| transcript.pyannote[170].start |
566.44034375 |
| transcript.pyannote[170].end |
569.14034375 |
| transcript.pyannote[171].speaker |
SPEAKER_00 |
| transcript.pyannote[171].start |
569.59596875 |
| transcript.pyannote[171].end |
570.74346875 |
| transcript.pyannote[172].speaker |
SPEAKER_00 |
| transcript.pyannote[172].start |
571.51971875 |
| transcript.pyannote[172].end |
572.71784375 |
| transcript.pyannote[173].speaker |
SPEAKER_00 |
| transcript.pyannote[173].start |
572.93721875 |
| transcript.pyannote[173].end |
573.66284375 |
| transcript.pyannote[174].speaker |
SPEAKER_00 |
| transcript.pyannote[174].start |
574.60784375 |
| transcript.pyannote[174].end |
575.48534375 |
| transcript.pyannote[175].speaker |
SPEAKER_03 |
| transcript.pyannote[175].start |
576.66659375 |
| transcript.pyannote[175].end |
588.02346875 |
| transcript.pyannote[176].speaker |
SPEAKER_03 |
| transcript.pyannote[176].start |
588.12471875 |
| transcript.pyannote[176].end |
590.43659375 |
| transcript.pyannote[177].speaker |
SPEAKER_03 |
| transcript.pyannote[177].start |
590.57159375 |
| transcript.pyannote[177].end |
593.49096875 |
| transcript.pyannote[178].speaker |
SPEAKER_00 |
| transcript.pyannote[178].start |
594.67221875 |
| transcript.pyannote[178].end |
595.51596875 |
| transcript.pyannote[179].speaker |
SPEAKER_00 |
| transcript.pyannote[179].start |
596.00534375 |
| transcript.pyannote[179].end |
598.58721875 |
| transcript.pyannote[180].speaker |
SPEAKER_00 |
| transcript.pyannote[180].start |
599.51534375 |
| transcript.pyannote[180].end |
602.80596875 |
| transcript.pyannote[181].speaker |
SPEAKER_00 |
| transcript.pyannote[181].start |
603.14346875 |
| transcript.pyannote[181].end |
603.44721875 |
| transcript.pyannote[182].speaker |
SPEAKER_00 |
| transcript.pyannote[182].start |
603.97034375 |
| transcript.pyannote[182].end |
605.48909375 |
| transcript.pyannote[183].speaker |
SPEAKER_00 |
| transcript.pyannote[183].start |
606.29909375 |
| transcript.pyannote[183].end |
608.25659375 |
| transcript.pyannote[184].speaker |
SPEAKER_00 |
| transcript.pyannote[184].start |
608.56034375 |
| transcript.pyannote[184].end |
610.99034375 |
| transcript.pyannote[185].speaker |
SPEAKER_00 |
| transcript.pyannote[185].start |
611.24346875 |
| transcript.pyannote[185].end |
613.50471875 |
| transcript.pyannote[186].speaker |
SPEAKER_00 |
| transcript.pyannote[186].start |
613.67346875 |
| transcript.pyannote[186].end |
617.68971875 |
| transcript.pyannote[187].speaker |
SPEAKER_00 |
| transcript.pyannote[187].start |
617.94284375 |
| transcript.pyannote[187].end |
618.49971875 |
| transcript.pyannote[188].speaker |
SPEAKER_03 |
| transcript.pyannote[188].start |
618.83721875 |
| transcript.pyannote[188].end |
620.89596875 |
| transcript.pyannote[189].speaker |
SPEAKER_00 |
| transcript.pyannote[189].start |
619.42784375 |
| transcript.pyannote[189].end |
620.22096875 |
| transcript.pyannote[190].speaker |
SPEAKER_00 |
| transcript.pyannote[190].start |
621.14909375 |
| transcript.pyannote[190].end |
622.87034375 |
| transcript.pyannote[191].speaker |
SPEAKER_00 |
| transcript.pyannote[191].start |
623.96721875 |
| transcript.pyannote[191].end |
625.62096875 |
| transcript.pyannote[192].speaker |
SPEAKER_00 |
| transcript.pyannote[192].start |
625.82346875 |
| transcript.pyannote[192].end |
626.05971875 |
| transcript.pyannote[193].speaker |
SPEAKER_00 |
| transcript.pyannote[193].start |
627.34221875 |
| transcript.pyannote[193].end |
629.13096875 |
| transcript.pyannote[194].speaker |
SPEAKER_00 |
| transcript.pyannote[194].start |
629.50221875 |
| transcript.pyannote[194].end |
629.99159375 |
| transcript.pyannote[195].speaker |
SPEAKER_00 |
| transcript.pyannote[195].start |
630.31221875 |
| transcript.pyannote[195].end |
630.80159375 |
| transcript.pyannote[196].speaker |
SPEAKER_00 |
| transcript.pyannote[196].start |
632.65784375 |
| transcript.pyannote[196].end |
634.51409375 |
| transcript.pyannote[197].speaker |
SPEAKER_00 |
| transcript.pyannote[197].start |
634.95284375 |
| transcript.pyannote[197].end |
637.39971875 |
| transcript.pyannote[198].speaker |
SPEAKER_00 |
| transcript.pyannote[198].start |
638.10846875 |
| transcript.pyannote[198].end |
638.64846875 |
| transcript.pyannote[199].speaker |
SPEAKER_00 |
| transcript.pyannote[199].start |
639.17159375 |
| transcript.pyannote[199].end |
640.26846875 |
| transcript.pyannote[200].speaker |
SPEAKER_00 |
| transcript.pyannote[200].start |
642.41159375 |
| transcript.pyannote[200].end |
644.03159375 |
| transcript.pyannote[201].speaker |
SPEAKER_02 |
| transcript.pyannote[201].start |
644.20034375 |
| transcript.pyannote[201].end |
644.63909375 |
| transcript.pyannote[202].speaker |
SPEAKER_00 |
| transcript.pyannote[202].start |
644.99346875 |
| transcript.pyannote[202].end |
645.85409375 |
| transcript.pyannote[203].speaker |
SPEAKER_00 |
| transcript.pyannote[203].start |
646.34346875 |
| transcript.pyannote[203].end |
646.83284375 |
| transcript.pyannote[204].speaker |
SPEAKER_00 |
| transcript.pyannote[204].start |
647.17034375 |
| transcript.pyannote[204].end |
648.48659375 |
| transcript.pyannote[205].speaker |
SPEAKER_02 |
| transcript.pyannote[205].start |
648.33471875 |
| transcript.pyannote[205].end |
649.29659375 |
| transcript.pyannote[206].speaker |
SPEAKER_00 |
| transcript.pyannote[206].start |
649.16159375 |
| transcript.pyannote[206].end |
660.70409375 |
| transcript.pyannote[207].speaker |
SPEAKER_02 |
| transcript.pyannote[207].start |
649.71846875 |
| transcript.pyannote[207].end |
650.39346875 |
| transcript.pyannote[208].speaker |
SPEAKER_02 |
| transcript.pyannote[208].start |
660.77159375 |
| transcript.pyannote[208].end |
667.97721875 |
| transcript.pyannote[209].speaker |
SPEAKER_00 |
| transcript.pyannote[209].start |
663.97784375 |
| transcript.pyannote[209].end |
664.45034375 |
| transcript.pyannote[210].speaker |
SPEAKER_00 |
| transcript.pyannote[210].start |
667.62284375 |
| transcript.pyannote[210].end |
669.09096875 |
| transcript.pyannote[211].speaker |
SPEAKER_02 |
| transcript.pyannote[211].start |
669.09096875 |
| transcript.pyannote[211].end |
669.52971875 |
| transcript.pyannote[212].speaker |
SPEAKER_00 |
| transcript.pyannote[212].start |
669.14159375 |
| transcript.pyannote[212].end |
669.17534375 |
| transcript.pyannote[213].speaker |
SPEAKER_00 |
| transcript.pyannote[213].start |
669.49596875 |
| transcript.pyannote[213].end |
671.20034375 |
| transcript.pyannote[214].speaker |
SPEAKER_00 |
| transcript.pyannote[214].start |
671.68971875 |
| transcript.pyannote[214].end |
677.30909375 |
| transcript.pyannote[215].speaker |
SPEAKER_02 |
| transcript.pyannote[215].start |
678.10221875 |
| transcript.pyannote[215].end |
683.26596875 |
| transcript.pyannote[216].speaker |
SPEAKER_00 |
| transcript.pyannote[216].start |
680.92034375 |
| transcript.pyannote[216].end |
698.03159375 |
| transcript.pyannote[217].speaker |
SPEAKER_02 |
| transcript.pyannote[217].start |
683.58659375 |
| transcript.pyannote[217].end |
684.29534375 |
| transcript.pyannote[218].speaker |
SPEAKER_01 |
| transcript.pyannote[218].start |
689.93159375 |
| transcript.pyannote[218].end |
690.03284375 |
| transcript.pyannote[219].speaker |
SPEAKER_03 |
| transcript.pyannote[219].start |
690.03284375 |
| transcript.pyannote[219].end |
690.30284375 |
| transcript.pyannote[220].speaker |
SPEAKER_01 |
| transcript.pyannote[220].start |
690.30284375 |
| transcript.pyannote[220].end |
690.37034375 |
| transcript.pyannote[221].speaker |
SPEAKER_00 |
| transcript.pyannote[221].start |
698.04846875 |
| transcript.pyannote[221].end |
712.98284375 |
| transcript.pyannote[222].speaker |
SPEAKER_02 |
| transcript.pyannote[222].start |
713.47221875 |
| transcript.pyannote[222].end |
736.54034375 |
| transcript.pyannote[223].speaker |
SPEAKER_00 |
| transcript.pyannote[223].start |
719.49659375 |
| transcript.pyannote[223].end |
720.40784375 |
| transcript.pyannote[224].speaker |
SPEAKER_00 |
| transcript.pyannote[224].start |
721.90971875 |
| transcript.pyannote[224].end |
723.59721875 |
| transcript.pyannote[225].speaker |
SPEAKER_00 |
| transcript.pyannote[225].start |
724.23846875 |
| transcript.pyannote[225].end |
724.64346875 |
| transcript.pyannote[226].speaker |
SPEAKER_00 |
| transcript.pyannote[226].start |
733.48596875 |
| transcript.pyannote[226].end |
734.66721875 |
| transcript.pyannote[227].speaker |
SPEAKER_00 |
| transcript.pyannote[227].start |
734.85284375 |
| transcript.pyannote[227].end |
746.68221875 |
| transcript.pyannote[228].speaker |
SPEAKER_02 |
| transcript.pyannote[228].start |
737.56971875 |
| transcript.pyannote[228].end |
739.39221875 |
| transcript.pyannote[229].speaker |
SPEAKER_00 |
| transcript.pyannote[229].start |
747.93096875 |
| transcript.pyannote[229].end |
753.11159375 |
| transcript.pyannote[230].speaker |
SPEAKER_00 |
| transcript.pyannote[230].start |
753.39846875 |
| transcript.pyannote[230].end |
758.68034375 |
| transcript.pyannote[231].speaker |
SPEAKER_02 |
| transcript.pyannote[231].start |
758.96721875 |
| transcript.pyannote[231].end |
765.86909375 |
| transcript.pyannote[232].speaker |
SPEAKER_00 |
| transcript.pyannote[232].start |
763.38846875 |
| transcript.pyannote[232].end |
764.78909375 |
| transcript.pyannote[233].speaker |
SPEAKER_02 |
| transcript.pyannote[233].start |
767.23596875 |
| transcript.pyannote[233].end |
767.45534375 |
| transcript.pyannote[234].speaker |
SPEAKER_02 |
| transcript.pyannote[234].start |
768.13034375 |
| transcript.pyannote[234].end |
768.28221875 |
| transcript.pyannote[235].speaker |
SPEAKER_00 |
| transcript.pyannote[235].start |
770.66159375 |
| transcript.pyannote[235].end |
774.69471875 |
| transcript.whisperx[0].start |
2.129 |
| transcript.whisperx[0].end |
20.039 |
| transcript.whisperx[0].text |
主席各位列席官員大家早主席有請我們主席長秦城主席長委員好主席長早今天這個題目現在已經變成是一個政治問題了 |
| transcript.whisperx[1].start |
22.006 |
| transcript.whisperx[1].end |
36.265 |
| transcript.whisperx[1].text |
現在民進黨又開始從TPAS生育補助 疫苗接種防疫整備等等還有河川治水等議題來恐嚇民眾2025年已經要結束了今天是12月24號 |
| transcript.whisperx[2].start |
40.734 |
| transcript.whisperx[2].end |
60.765 |
| transcript.whisperx[2].text |
民眾都已經看破手腳了啦我在這邊已經可以預見說行政院的說辭一定是又是什麼租屋補貼啦這個發不出來啦還有買不到iPhone18啦還有可能速發部也會跳出來說沒有辦法買車票沒有辦法手機報稅實際上已經要2026了上面這些問題在去年一整年這個所有敘述的那個樣子好像是要世界末日一樣 |
| transcript.whisperx[3].start |
70.283 |
| transcript.whisperx[3].end |
90.193 |
| transcript.whisperx[3].text |
但是民眾一樣看到這些假訊息 假圖卡覺得怎麼又來了 超級沒誠意這個說法也不會換一套我在這邊想要行政院能夠如實地去編列總預算那總預算馬上就可以付為審查 |
| transcript.whisperx[4].start |
94.261 |
| transcript.whisperx[4].end |
105.769 |
| transcript.whisperx[4].text |
應該要反過來回去問行政院為什麼沒有編列軍人加薪預算不編列警消海巡弟兄的退伏金主席講為什麼 |
| transcript.whisperx[5].start |
107.389 |
| transcript.whisperx[5].end |
134.641 |
| transcript.whisperx[5].text |
因為均衡預算的部分其實我們行政院這方面是非常重視的那我們也這幾年一直都在加薪那但是因為他整個一個增加了將近加薪的部分將近300億左右那這個部分的按照財政紀律法應該要先籌措財那第二個他對於整個一個包括所有的各個各項的公教人員的一個整個的均衡制度是有很大的一個 |
| transcript.whisperx[6].start |
135.021 |
| transcript.whisperx[6].end |
159.698 |
| transcript.whisperx[6].text |
這個你們剛剛都說過了啦剛剛都說過很多委員都有問所以都是同樣的一個答覆啦我想要知道說為了全民任性 國防任性你們可以錢可以拿去印公校有待觀察的這個國防手冊然後也可以一波又一波的把錢送到美國但是我們的飛機我們的軍備拿到了嗎 |
| transcript.whisperx[7].start |
164.81 |
| transcript.whisperx[7].end |
193.451 |
| transcript.whisperx[7].text |
那為了我們國家人民生命財產的安全這個國防部被當作是提款機啦被當作提款機你們不願意把真正把這些錢投注在保家衛國的軍人身上好 有這些軍備武器很重要沒有錯但是你們未來如果一旦發生什麼樣的一個戰爭狀態第一線投入的就是這些軍人就是我們的這些軍人同胞 |
| transcript.whisperx[8].start |
195.162 |
| transcript.whisperx[8].end |
223.72 |
| transcript.whisperx[8].text |
那這樣子的情況之下你們我們現在這些被忽略的軍人我們現在各單位都缺兵包括我們的邊線比都很低其實大家知道為什麼會這麼缺第一個薪水不夠嘛待遇不足嘛風險又高嘛對不對軍人的尊嚴不被尊重嘛是不是所以這些都不能夠成為加入國軍的一個動機啦所以為什麼我們立法院三讀通過了 |
| transcript.whisperx[9].start |
225.678 |
| transcript.whisperx[9].end |
250.588 |
| transcript.whisperx[9].text |
這個均衡加薪的部分還有井消海巡的這些退伏金你們就是不編啊對不對 你們就是不編嘛這個部分他是有他的考量因為整個的一個包括所有公教包括軍警相關的一個平衡性所以人種呢他會對整個做一個整個均衡的考量那我們目前也請市縣中啦那按照請示的結合來 |
| transcript.whisperx[10].start |
252.473 |
| transcript.whisperx[10].end |
253.855 |
| transcript.whisperx[10].text |
主席有請我們國防部徐副部長請徐副部長 |
| transcript.whisperx[11].start |
268.062 |
| transcript.whisperx[11].end |
287.814 |
| transcript.whisperx[11].text |
國防預算屢創新高我們這個軍備案都可以隨便發發給這些經銷商 經銷皮鞋 運動鞋的公司還有一些裝修公司這些都看不出來說他們跟軍備軍購有什麼樣的關係 |
| transcript.whisperx[12].start |
291.636 |
| transcript.whisperx[12].end |
317.174 |
| transcript.whisperx[12].text |
我剛剛提到的說我們的預算錢可以拿去印製一些不知道有待觀察的這些全民國防手冊也好或者是我們把我們的預算錢都付給了美國但是我們拿不到我們的飛機拿不到我們的軍備但是一旦發生兩岸發生什麼樣的情況一個戰爭的狀態沒有人希望發生但一旦發生在第一線 |
| transcript.whisperx[13].start |
318.496 |
| transcript.whisperx[13].end |
345.615 |
| transcript.whisperx[13].text |
衝鋒陷陣的就是我們這些國軍那我們立法院單獨通過的這些軍人預算為什麼我們國防部不願意表態支持對不對 我知道你心裡可能不是這麼想但是你們剛剛在回答這個委員的的質詢上面都說跟行政院態度一樣但是事實上你們有沒有想過缺兵的問題 |
| transcript.whisperx[14].start |
347.322 |
| transcript.whisperx[14].end |
359.56 |
| transcript.whisperx[14].text |
到底是怎麼樣要怎麼樣根本去解決軍人的待遇不足風險那麼高兵兇戰略再來軍人的尊嚴到底有沒有被尊重要從軍 |
| transcript.whisperx[15].start |
361.058 |
| transcript.whisperx[15].end |
387.349 |
| transcript.whisperx[15].text |
要從軍你連這樣一個吸引他的動機都沒有沒有人希望說戰爭會發生啦但是一旦發生之後就是軍人在第一線報告委員可以說明一下嗎謝謝114年就是今年我們已經向行政院爭取五種加級包括志願役的加級戰鬥部隊的加級又分第一類型第二類型第一類型加的比較多網路戰加級 電偵加級 |
| transcript.whisperx[16].start |
389.69 |
| transcript.whisperx[16].end |
417.763 |
| transcript.whisperx[16].text |
佔航管佳績所以我們國防部也已經有這個佳績尤其是基層的官兵佳績額度特別高譬如說如果一個上位他是第一類型的話他總共可以加到一萬二所以我們不是沒有加我跟你講我接到的電話啦我接到電話我們台中市一位民眾打電話過來他原來是在他是大學剛畢業一年他原來是在我們這四大會計師事務所其中一間上班那因為 |
| transcript.whisperx[17].start |
419.524 |
| transcript.whisperx[17].end |
441.986 |
| transcript.whisperx[17].text |
這個事務所加班很晚然後待遇又不高所以他不如他的預期所以他的姐姐他姐姐是軍人他姐姐是軍人所以就告訴他說現在政府要幫國軍加薪要幫國軍加薪問他要不要考慮投入國軍那他思考過後覺得說確實如果按照軍人加薪之後這個待遇他是可以接受的那他 |
| transcript.whisperx[18].start |
443.26 |
| transcript.whisperx[18].end |
462.314 |
| transcript.whisperx[18].text |
也願意加入成為一個軍人所以他就從會計師事務所辭職了但最近他打電話來告訴我們說為什麼為什麼行政院沒有履行承諾立法院三讀通過的法律案為什麼行政院可以不執行他以為他相信政府會給軍人好的待遇所以他準備加入但是 |
| transcript.whisperx[19].start |
463.713 |
| transcript.whisperx[19].end |
483.741 |
| transcript.whisperx[19].text |
這樣子 欸 軍人加薪不是說只是不只是體恤國軍弟兄的辛勞也是要吸引更多專業的人才加入但是就像我剛剛說的這一位民眾打電話給我這一位民眾因為行政院不願意履行承諾不願意認同國軍弟兄的辛勞所以他也就 |
| transcript.whisperx[20].start |
486.192 |
| transcript.whisperx[20].end |
502.413 |
| transcript.whisperx[20].text |
又回到他原來的崗位所以現在我們針對專業是有加期的我剛講過我們現在全面要提升啦所以我們三讀通過的法律案行政院不執行但是你們國防部怎麼可以不為我們國軍弟兄著想我有為國軍弟兄著想站穩你們的立場 |
| transcript.whisperx[21].start |
503.194 |
| transcript.whisperx[21].end |
530.259 |
| transcript.whisperx[21].text |
我們絕對有 我們針對專業都有佳績對於戰鬥部隊 尤其是基層的戰鬥部隊我們特別加得多 特別多好 副部長國軍招募的口號是加入迷彩 人生精彩對不對對不對 是 是嘛但現在網友啊 他卻說什麼實際上他說 人生可以黑白啊但是不能夠迷彩啊如果要翻轉這種形象副部長 你有什麼具體的想法 如何翻轉 |
| transcript.whisperx[22].start |
532.515 |
| transcript.whisperx[22].end |
552.43 |
| transcript.whisperx[22].text |
三度人才啊 對不對我說你們是加入迷彩人生精彩但是實際上被反諷就是說人生可以黑白但是不能迷彩就是說現在對於民眾對於原來有意願從軍的 |
| transcript.whisperx[23].start |
553.973 |
| transcript.whisperx[23].end |
573.194 |
| transcript.whisperx[23].text |
的這些人他們對於我們這樣子國防部對於處理招募軍人以及對於軍人的一個保障這樣子的態度是這樣子所以他們整個現象就是說不願意從軍所以你現在招不到人就招不到人缺兵這事實要如何翻轉 |
| transcript.whisperx[24].start |
576.841 |
| transcript.whisperx[24].end |
605.05 |
| transcript.whisperx[24].text |
當然還是在這個軍人待遇是沒有錯我們也做了 剛剛跟委員報告但是如果整體來看你還是要從軍公教整體的人事薪資結構來考量所以不是只有我們國防部的問題這整個政府的事情我跟你講其實你們回去勸一下左院長只要一邊列三讀通過的我們這些法案總算一定可以附會審查 |
| transcript.whisperx[25].start |
606.625 |
| transcript.whisperx[25].end |
625.856 |
| transcript.whisperx[25].text |
總預算一定可以負為審查所以請你回去跟主委院長跟主委院長溝通 勸他請行政院把國軍弟兄放在心上好不好 可不可以國軍弟兄裡面永遠在我們的心上好 可以 那次長請回副部長請回 謝謝因為時間不夠了 那我想那個 |
| transcript.whisperx[26].start |
632.877 |
| transcript.whisperx[26].end |
660.414 |
| transcript.whisperx[26].text |
我們財政部莊部長我想請教一個就是我們手機報稅的部分很簡單很短的時間不好意思你可不可以告訴我手機報稅是手機報稅明年一樣可以使用嘛對不對當然當然嘛對不對不會因為剛剛我們又提到了什麼TPAS不行了什麼樣這些今天全部因為總預算沒過所以這些全部都不能做了手機報稅可以嘛對不對 |
| transcript.whisperx[27].start |
661.074 |
| transcript.whisperx[27].end |
676.866 |
| transcript.whisperx[27].text |
跟委員報告因為它是一個延續性的工作可以但它在執行的金額上是不能超過114年當然 這我們都知道另外一個再提一下就是說你們有提一個新的政策就是為了防詐所以推出ATM領錢要露臉的這個政策對不對 |
| transcript.whisperx[28].start |
678.214 |
| transcript.whisperx[28].end |
682.276 |
| transcript.whisperx[28].text |
就是金管會以及警方內政部認為應該要這樣子做這個支持然後也可以對車手產生這個阻嚇的效果但是我要告訴你就是說因為民眾會擔心會擔心說這個造成隱私權的問題 |
| transcript.whisperx[29].start |
693.283 |
| transcript.whisperx[29].end |
707.973 |
| transcript.whisperx[29].text |
也會怕說因為機械把他們臉部的部分記錄下來之後被政府記錄或者是拿去用在其他的地方就連超過300BPI的照片都能夠辨識出一些私人的這種隱私訊息所以部長因為我們的這個請問一下個資保護委員會成立了嗎 |
| transcript.whisperx[30].start |
713.75 |
| transcript.whisperx[30].end |
723.4 |
| transcript.whisperx[30].text |
跟委員報告因為車手或詐團常常運用車手然後把臉部都遮起來去ATM去領取所以這個部分很重要另外現在ATM其實都有一個錄影的鏡頭在那邊並不因為我們未來對於遮眼臉的部分 |
| transcript.whisperx[31].start |
735.191 |
| transcript.whisperx[31].end |
755.398 |
| transcript.whisperx[31].text |
我知道我支持打詐 堵詐 防詐但是就是說因為我們的各自保委委員會還沒有成立然後這個政策疑慮非常大甚至於根本搞不清楚在如何在打詐的同時保障民眾的隱私權這個部分不是只有金管會討論速發部的研擬這部分要更全面好不好 |
| transcript.whisperx[32].start |
759.365 |
| transcript.whisperx[32].end |
763.751 |
| transcript.whisperx[32].text |
當然委員所顧慮的事情在我研議過程當中一定也會把它放進去來討論謝謝委員 謝謝 |