IVOD_ID |
159125 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159125 |
日期 |
2025-03-13 |
會議資料.會議代碼 |
委員會-11-3-20-2 |
會議資料.會議代碼:str |
第11屆第3會期財政委員會第2次全體委員會議 |
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 |
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3會期財政委員會第2次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-03-13T11:36:21+08:00 |
結束時間 |
2025-03-13T11:47:23+08:00 |
影片長度 |
00:11:02 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3b972b8f6f00770ffc8388445bf03140e83d902c8d6dd6c2ff1cdb1affc83ff47676b3772217087c5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
李坤城 |
委員發言時間 |
11:36:21 - 11:47:23 |
會議時間 |
2025-03-13T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期財政委員會第2次全體委員會議(事由:邀請中央銀行楊總裁金龍率所屬單位主管暨財金資訊股份有限公司董事長列席業務報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
0.23346875 |
transcript.pyannote[0].end |
0.40221875 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
0.73971875 |
transcript.pyannote[1].end |
2.32596875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
6.25784375 |
transcript.pyannote[2].end |
6.52784375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
7.91159375 |
transcript.pyannote[3].end |
8.02971875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
8.02971875 |
transcript.pyannote[4].end |
9.02534375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
9.02534375 |
transcript.pyannote[5].end |
9.04221875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
9.04221875 |
transcript.pyannote[6].end |
9.05909375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
10.93221875 |
transcript.pyannote[7].end |
11.57346875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
12.24846875 |
transcript.pyannote[8].end |
13.69971875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
13.98659375 |
transcript.pyannote[9].end |
15.16784375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
19.09971875 |
transcript.pyannote[10].end |
22.54221875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
20.43284375 |
transcript.pyannote[11].end |
24.14534375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
23.99346875 |
transcript.pyannote[12].end |
24.85409375 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
24.98909375 |
transcript.pyannote[13].end |
25.49534375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
25.57971875 |
transcript.pyannote[14].end |
27.04784375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
27.23346875 |
transcript.pyannote[15].end |
37.30784375 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
37.20659375 |
transcript.pyannote[16].end |
37.83096875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
37.67909375 |
transcript.pyannote[17].end |
43.12971875 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
41.88096875 |
transcript.pyannote[18].end |
42.43784375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
43.21409375 |
transcript.pyannote[19].end |
47.09534375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
47.19659375 |
transcript.pyannote[20].end |
66.87284375 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
53.82846875 |
transcript.pyannote[21].end |
53.84534375 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
54.03096875 |
transcript.pyannote[22].end |
54.13221875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
67.10909375 |
transcript.pyannote[23].end |
67.17659375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
67.53096875 |
transcript.pyannote[24].end |
82.71846875 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
83.08971875 |
transcript.pyannote[25].end |
85.40159375 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
85.40159375 |
transcript.pyannote[26].end |
85.41846875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
85.41846875 |
transcript.pyannote[27].end |
86.26221875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
86.63346875 |
transcript.pyannote[28].end |
90.86909375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
91.05471875 |
transcript.pyannote[29].end |
94.85159375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
94.96971875 |
transcript.pyannote[30].end |
94.98659375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
95.08784375 |
transcript.pyannote[31].end |
105.55034375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
105.85409375 |
transcript.pyannote[32].end |
107.52471875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
107.94659375 |
transcript.pyannote[33].end |
133.19159375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
134.60909375 |
transcript.pyannote[34].end |
134.87909375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
134.96346875 |
transcript.pyannote[35].end |
142.37159375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
141.37596875 |
transcript.pyannote[36].end |
142.21971875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
142.37159375 |
transcript.pyannote[37].end |
156.58034375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
155.09534375 |
transcript.pyannote[38].end |
155.31471875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
156.76596875 |
transcript.pyannote[39].end |
178.56846875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
171.97034375 |
transcript.pyannote[40].end |
172.07159375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
172.49346875 |
transcript.pyannote[41].end |
173.23596875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
173.75909375 |
transcript.pyannote[42].end |
180.54284375 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
178.93971875 |
transcript.pyannote[43].end |
179.02409375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
180.10409375 |
transcript.pyannote[44].end |
186.31409375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
188.60909375 |
transcript.pyannote[45].end |
189.97596875 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
189.16596875 |
transcript.pyannote[46].end |
189.33471875 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
189.97596875 |
transcript.pyannote[47].end |
190.39784375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
190.39784375 |
transcript.pyannote[48].end |
190.53284375 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
190.53284375 |
transcript.pyannote[49].end |
190.60034375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
190.60034375 |
transcript.pyannote[50].end |
190.61721875 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
190.61721875 |
transcript.pyannote[51].end |
190.87034375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
190.66784375 |
transcript.pyannote[52].end |
193.28346875 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
193.62096875 |
transcript.pyannote[53].end |
196.01721875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
194.83596875 |
transcript.pyannote[54].end |
197.90721875 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
197.99159375 |
transcript.pyannote[55].end |
209.90534375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
202.19346875 |
transcript.pyannote[56].end |
202.41284375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
210.14159375 |
transcript.pyannote[57].end |
211.82909375 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
212.23409375 |
transcript.pyannote[58].end |
217.66784375 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
214.73159375 |
transcript.pyannote[59].end |
215.17034375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
217.75221875 |
transcript.pyannote[60].end |
239.75721875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
223.59096875 |
transcript.pyannote[61].end |
223.86096875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
226.99971875 |
transcript.pyannote[62].end |
227.01659375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
227.13471875 |
transcript.pyannote[63].end |
227.26971875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
240.02721875 |
transcript.pyannote[64].end |
241.30971875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
241.63034375 |
transcript.pyannote[65].end |
242.33909375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
242.60909375 |
transcript.pyannote[66].end |
242.92971875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
243.16596875 |
transcript.pyannote[67].end |
253.03784375 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
253.03784375 |
transcript.pyannote[68].end |
253.15596875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
253.15596875 |
transcript.pyannote[69].end |
253.76346875 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
254.74221875 |
transcript.pyannote[70].end |
266.45346875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
261.34034375 |
transcript.pyannote[71].end |
261.74534375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
266.45346875 |
transcript.pyannote[72].end |
277.84409375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
270.01409375 |
transcript.pyannote[73].end |
270.14909375 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
276.76409375 |
transcript.pyannote[74].end |
277.15221875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
278.19846875 |
transcript.pyannote[75].end |
302.78534375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
284.29034375 |
transcript.pyannote[76].end |
284.69534375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
289.70721875 |
transcript.pyannote[77].end |
290.39909375 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
295.24221875 |
transcript.pyannote[78].end |
295.25909375 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
295.32659375 |
transcript.pyannote[79].end |
295.36034375 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
295.47846875 |
transcript.pyannote[80].end |
295.54596875 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
300.35534375 |
transcript.pyannote[81].end |
300.79409375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
303.07221875 |
transcript.pyannote[82].end |
304.37159375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
304.91159375 |
transcript.pyannote[83].end |
305.73846875 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
306.44721875 |
transcript.pyannote[84].end |
306.85221875 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
307.24034375 |
transcript.pyannote[85].end |
308.15159375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
309.07971875 |
transcript.pyannote[86].end |
323.81159375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
316.09971875 |
transcript.pyannote[87].end |
316.40346875 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
323.98034375 |
transcript.pyannote[88].end |
330.08909375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
330.22409375 |
transcript.pyannote[89].end |
341.56409375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
333.76784375 |
transcript.pyannote[90].end |
333.80159375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
334.08846875 |
transcript.pyannote[91].end |
334.12221875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
341.56409375 |
transcript.pyannote[92].end |
341.95221875 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
342.05346875 |
transcript.pyannote[93].end |
344.95596875 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
345.49596875 |
transcript.pyannote[94].end |
364.09221875 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
364.24409375 |
transcript.pyannote[95].end |
364.27784375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
364.27784375 |
transcript.pyannote[96].end |
364.51409375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
364.51409375 |
transcript.pyannote[97].end |
366.13409375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
366.13409375 |
transcript.pyannote[98].end |
366.15096875 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
366.15096875 |
transcript.pyannote[99].end |
366.25221875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
366.25221875 |
transcript.pyannote[100].end |
372.14159375 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
366.33659375 |
transcript.pyannote[101].end |
366.48846875 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
368.15909375 |
transcript.pyannote[102].end |
370.99409375 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
372.09096875 |
transcript.pyannote[103].end |
379.87034375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
373.06971875 |
transcript.pyannote[104].end |
373.35659375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
376.14096875 |
transcript.pyannote[105].end |
376.41096875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
379.87034375 |
transcript.pyannote[106].end |
406.66784375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
381.89534375 |
transcript.pyannote[107].end |
382.18221875 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
384.22409375 |
transcript.pyannote[108].end |
384.24096875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
384.34221875 |
transcript.pyannote[109].end |
384.49409375 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
397.21784375 |
transcript.pyannote[110].end |
397.52159375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
404.03534375 |
transcript.pyannote[111].end |
404.05221875 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
404.20409375 |
transcript.pyannote[112].end |
404.32221875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
406.70159375 |
transcript.pyannote[113].end |
415.64534375 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
415.64534375 |
transcript.pyannote[114].end |
416.05034375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
415.67909375 |
transcript.pyannote[115].end |
415.71284375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
416.05034375 |
transcript.pyannote[116].end |
421.95659375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
422.09159375 |
transcript.pyannote[117].end |
424.72409375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
424.87596875 |
transcript.pyannote[118].end |
437.54909375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
437.68409375 |
transcript.pyannote[119].end |
450.12096875 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
448.61909375 |
transcript.pyannote[120].end |
449.17596875 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
450.30659375 |
transcript.pyannote[121].end |
450.32346875 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
450.32346875 |
transcript.pyannote[122].end |
450.34034375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
450.34034375 |
transcript.pyannote[123].end |
452.78721875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
453.04034375 |
transcript.pyannote[124].end |
457.02284375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
457.22534375 |
transcript.pyannote[125].end |
462.54096875 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
463.38471875 |
transcript.pyannote[126].end |
463.80659375 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
464.02596875 |
transcript.pyannote[127].end |
465.37596875 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
465.67971875 |
transcript.pyannote[128].end |
475.65284375 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
476.04096875 |
transcript.pyannote[129].end |
479.58471875 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
479.92221875 |
transcript.pyannote[130].end |
498.48471875 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
489.45659375 |
transcript.pyannote[131].end |
489.97971875 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
491.70096875 |
transcript.pyannote[132].end |
492.02159375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
493.69221875 |
transcript.pyannote[133].end |
493.94534375 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
498.48471875 |
transcript.pyannote[134].end |
498.88971875 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
498.83909375 |
transcript.pyannote[135].end |
506.41596875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
500.27346875 |
transcript.pyannote[136].end |
501.10034375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
501.62346875 |
transcript.pyannote[137].end |
501.92721875 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
506.26409375 |
transcript.pyannote[138].end |
506.55096875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
506.43284375 |
transcript.pyannote[139].end |
508.67721875 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
508.67721875 |
transcript.pyannote[140].end |
509.35221875 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
509.28471875 |
transcript.pyannote[141].end |
513.67221875 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
513.92534375 |
transcript.pyannote[142].end |
516.27096875 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
516.27096875 |
transcript.pyannote[143].end |
516.47346875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
516.47346875 |
transcript.pyannote[144].end |
516.54096875 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
516.57471875 |
transcript.pyannote[145].end |
517.26659375 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
517.62096875 |
transcript.pyannote[146].end |
521.36721875 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
519.35909375 |
transcript.pyannote[147].end |
531.64409375 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
521.78909375 |
transcript.pyannote[148].end |
521.90721875 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
523.42596875 |
transcript.pyannote[149].end |
524.72534375 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
524.86034375 |
transcript.pyannote[150].end |
525.13034375 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
531.42471875 |
transcript.pyannote[151].end |
531.59346875 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
531.61034375 |
transcript.pyannote[152].end |
570.22034375 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
564.70221875 |
transcript.pyannote[153].end |
564.97221875 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
567.01409375 |
transcript.pyannote[154].end |
580.56471875 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
576.49784375 |
transcript.pyannote[155].end |
577.66221875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
578.15159375 |
transcript.pyannote[156].end |
579.18096875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
579.82221875 |
transcript.pyannote[157].end |
581.05409375 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
581.05409375 |
transcript.pyannote[158].end |
585.42471875 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
582.50534375 |
transcript.pyannote[159].end |
582.94409375 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
584.07471875 |
transcript.pyannote[160].end |
586.18409375 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
586.18409375 |
transcript.pyannote[161].end |
590.48721875 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
590.82471875 |
transcript.pyannote[162].end |
600.54471875 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
594.21659375 |
transcript.pyannote[163].end |
594.35159375 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
601.40534375 |
transcript.pyannote[164].end |
608.32409375 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
608.76284375 |
transcript.pyannote[165].end |
612.28971875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
611.61471875 |
transcript.pyannote[166].end |
613.96034375 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
613.77471875 |
transcript.pyannote[167].end |
624.30471875 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
621.60471875 |
transcript.pyannote[168].end |
621.94221875 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
624.05159375 |
transcript.pyannote[169].end |
626.02596875 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
624.35534375 |
transcript.pyannote[170].end |
624.37221875 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
625.84034375 |
transcript.pyannote[171].end |
629.70471875 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
628.00034375 |
transcript.pyannote[172].end |
631.61159375 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
629.72159375 |
transcript.pyannote[173].end |
629.77221875 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
631.44284375 |
transcript.pyannote[174].end |
634.15971875 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
634.15971875 |
transcript.pyannote[175].end |
650.08971875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
634.36221875 |
transcript.pyannote[176].end |
639.45846875 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
648.03096875 |
transcript.pyannote[177].end |
651.67596875 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
650.61284375 |
transcript.pyannote[178].end |
654.66284375 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
653.36346875 |
transcript.pyannote[179].end |
655.48971875 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
655.54034375 |
transcript.pyannote[180].end |
657.68346875 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
656.06346875 |
transcript.pyannote[181].end |
658.49346875 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
657.97034375 |
transcript.pyannote[182].end |
661.07534375 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
659.13471875 |
transcript.pyannote[183].end |
660.97409375 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
661.41284375 |
transcript.pyannote[184].end |
661.69971875 |
transcript.whisperx[0].start |
0.77 |
transcript.whisperx[0].end |
1.211 |
transcript.whisperx[0].text |
謝謝主席那我們請楊總裁 |
transcript.whisperx[1].start |
20.808 |
transcript.whisperx[1].end |
40.999 |
transcript.whisperx[1].text |
總裁今天被尋一個早上其實也辛苦了謝謝你那個總裁去年的這個3月的時候其實我們在這邊也質詢過總裁那我覺得這個時間好像有倒流到這個去年這個時光去年的3月的這個李建勢央行的李建勢會議記者會上 |
transcript.whisperx[2].start |
43.28 |
transcript.whisperx[2].end |
65.717 |
transcript.whisperx[2].text |
然後這個總裁就說當時升息半碼主要是為了抑制就講去年4月電價上漲引發的國內通膨的預期的心理那當然這個升息半碼會讓市場覺得有點surprise但是這是合理的一個決定那我記得到時候大家在質詢的時候外界有給總裁一個封號叫做Mr. |
transcript.whisperx[3].start |
65.717 |
transcript.whisperx[3].end |
66.597 |
transcript.whisperx[3].text |
Surprise |
transcript.whisperx[4].start |
67.738 |
transcript.whisperx[4].end |
90.575 |
transcript.whisperx[4].text |
那我覺得說這是去年三月的事情怎麼到了今年三月份我們在討論這個事情好像有這個既視感好像跟去年的這個時候也差不多第一個國內今年的一二月呢消費者物價指數CPI呢平均年增率超過百分之二的這個通貨警戒線第二個呢海鐵呢恐怕會調漲的部分的費用那加上呢 |
transcript.whisperx[5].start |
91.756 |
transcript.whisperx[5].end |
118.058 |
transcript.whisperx[5].text |
這個台電的兩千億的預算被債務局砍掉了所以電價也面臨調漲的壓力所以後續物價有可能有上漲的一些壓力第三個就是說美國川普總統上任那會加增關稅然後聯準會的貨幣政策有可能會造成CPI的指數無法回落到1.5%以下所以本席再請教總裁 |
transcript.whisperx[6].start |
119.119 |
transcript.whisperx[6].end |
132.955 |
transcript.whisperx[6].text |
那這個外界在預期說下個禮拜的這個央行的禮監事會之後呢是否會採取這個預防性的申請因為好像去年的這個情況跟現在的這個情況好像也差不多 |
transcript.whisperx[7].start |
136.899 |
transcript.whisperx[7].end |
156.059 |
transcript.whisperx[7].text |
總裁你不覺得好像我去年講的這些東西跟今年的遇到的狀況好像有點類似我覺得委員掌握我們整個的邏輯跟說法還有整個經濟金融的情況掌握得非常好 |
transcript.whisperx[8].start |
156.92 |
transcript.whisperx[8].end |
181.393 |
transcript.whisperx[8].text |
那我想第一個我們還是由委員我們的理事來決定當然了來決定那當然就是說委員在講就是說那個去年的情況跟今年的情況好像是有一點類似對啊你那時候就是怕說會有預期性的這個通膨的心理嘛所以就升息了半碼而且去年這個情況跟今天情況好像差不多啊不過我想我們3月20號就會揭曉 |
transcript.whisperx[9].start |
188.866 |
transcript.whisperx[9].end |
216.953 |
transcript.whisperx[9].text |
那我請教總裁現在這個情況跟去年的情況有沒有有點類似是有一點類似有點類似那這檔案好像呼之欲出不過也就是說我們要想就是說雖然就是說情況有一點類似不過第一個我們也會考慮到就是說我們的雖然就是說這個通膨會上修但是雖然是在2%左右那我們要不要很擔心這個是第一個 |
transcript.whisperx[10].start |
217.873 |
transcript.whisperx[10].end |
242.142 |
transcript.whisperx[10].text |
第二個,我們長期還是認為我們的通膨還是有下來的一個趨勢那這個我們是不是也要考量第二個,我們也會考量到現在的不確定性不管是對通膨的不確定性或是對經濟的不確定性我們必須要更關心它 |
transcript.whisperx[11].start |
243.288 |
transcript.whisperx[11].end |
253.563 |
transcript.whisperx[11].text |
那其實我聽總裁這樣講如果真的下禮拜開會有升息辦碼我覺得大概也沒有這麼驚喜啦是不是 |
transcript.whisperx[12].start |
254.913 |
transcript.whisperx[12].end |
277.04 |
transcript.whisperx[12].text |
不過就是說因為在這邊因為是理事共同來討論的我在這邊好像也不便得說那剛才總裁有提到很多次提到這個不確定性我剛才在答覆其他的立委的時候也提到這個有關川普總統上台之後那其實去年的11月我也問過 |
transcript.whisperx[13].start |
278.68 |
transcript.whisperx[13].end |
305.399 |
transcript.whisperx[13].text |
這個總裁那時候川普當選那我就問總裁我就說這個川普當選的心情會怎麼樣那總裁那時候的回答是說呢這個政策是不容易預測那就是有不確定性那所以呢這個市場金融市場如果有這個不確定性呢就是一個很大的問題那我看這個總裁今天的報告也很多次出現這個不確定性那經過了這一個半年再來看那這個不確定性還是很高嗎 |
transcript.whisperx[14].start |
307.384 |
transcript.whisperx[14].end |
323.356 |
transcript.whisperx[14].text |
事實上呢所以我們在這邊第六頁這邊有講到就是說那個時候呢都對川普的交易呢非常樂觀所以你看碰碰碰他美國的這些的數據包括股市啦美元啦還有那個公債的利率啊都是 |
transcript.whisperx[15].start |
324.116 |
transcript.whisperx[15].end |
341.418 |
transcript.whisperx[15].text |
表達非常對美國非常的樂觀不過最近我想委員知道他現在的這個樂觀的情緒是慢慢在correction但是他的correction我個人解讀只是說是恢復到9月以前的 |
transcript.whisperx[16].start |
342.399 |
transcript.whisperx[16].end |
351.569 |
transcript.whisperx[16].text |
所以也沒有特別的壞所以現在市場有一股認為美國好像現在要進入衰退期事實上這是一個對於樂觀的預期現在是一個correction也就是現在是cool down的時候 |
transcript.whisperx[17].start |
364.583 |
transcript.whisperx[17].end |
379.484 |
transcript.whisperx[17].text |
先是一個過渡過渡其實跟去年九月其實預期是差不多當時的預期會比較高所以這個就是說人類的心理投資人的一個心理就是這樣市場的心理就是這樣 |
transcript.whisperx[18].start |
380.205 |
transcript.whisperx[18].end |
406.177 |
transcript.whisperx[18].text |
那我請教一下台積電的問題我剛剛很多委員都提到那其實台積電加碼投資美國一千億美元那台積電的董事長魏哲嘉其實還有提到他說先進的研發中心都是在台灣不論是兩奈米1.6奈米1.4奈米甚至一奈米都是在台灣是真正的研發中心那台積電在美國的研發中心 |
transcript.whisperx[19].start |
407.037 |
transcript.whisperx[19].end |
420.718 |
transcript.whisperx[19].text |
規模大概是1000人那他主要是做什麼呢生產線的製程優化跟我們剛才提到的那個所謂的這個真正研發中心是不一樣的那美國台商的會長韓如柏呢他這兩天呢有一個 |
transcript.whisperx[20].start |
422.24 |
transcript.whisperx[20].end |
442.175 |
transcript.whisperx[20].text |
演講川普關稅台灣基金片那他有提到說呢川普總統一直在強調半導體產業對美國未來的重要性那中國大陸也知道這個弱點而且試圖利用它最近就指控中國指控台灣把台積電當作伴手禮送給他人 |
transcript.whisperx[21].start |
443.536 |
transcript.whisperx[21].end |
458.253 |
transcript.whisperx[21].text |
山洞本來就已經緊張了國內情勢這不是只有共產黨在講我看很多在野黨在講台積電會變成美積電那我再請教一下因為也有一些學者提到說這個台積電加碼投資一千億會造成衝擊到台灣的會市那請教一下會有這個衝擊嗎 |
transcript.whisperx[22].start |
464.205 |
transcript.whisperx[22].end |
473.112 |
transcript.whisperx[22].text |
所以我剛剛事實上我們外匯局也有去請教過台積電它的財務處基本上就我所了解的 |
transcript.whisperx[23].start |
481.019 |
transcript.whisperx[23].end |
508.454 |
transcript.whisperx[23].text |
對匯市呢因為他就是說要多增加一千億的投資一千億的投資剛剛我同仁也在講就是說事實上也不是一次到位嘛對因為他是四年嘛也就是說一年是兩百五十億啦一年如果說就用這樣評論但是台積電很會賺錢而且他賺的都是外幣都是美元所以呢我剛剛我同仁也有去請教他他們一年的營收是將近一千億美元 |
transcript.whisperx[24].start |
509.495 |
transcript.whisperx[24].end |
527.854 |
transcript.whisperx[24].text |
所以說你看看它的營收那麼的龐大所以對外市場我覺得應該是我認為是不會有影響我想央行總裁講話這個份量就夠因為外界有一些人說將台積電去投資會衝擊到台灣的會市 |
transcript.whisperx[25].start |
532.278 |
transcript.whisperx[25].end |
544.836 |
transcript.whisperx[25].text |
會是如果說以我們現在所掌握的數據還有包括他們告訴我們的基本上也就是說像他1000例而且你看他的1000例事實上他也可以在美國他也可以在美國籌資對 |
transcript.whisperx[26].start |
546.658 |
transcript.whisperx[26].end |
566.49 |
transcript.whisperx[26].text |
他也可以在那邊籌資還有包括他本身的營收又那麼龐大所以我總覺得對我們外市場的一個不過我也會跟委員報告啦事實上我們每天對於我們的廠商的一個會市這個結構結束我們都會密切的注意他 |
transcript.whisperx[27].start |
567.13 |
transcript.whisperx[27].end |
593.892 |
transcript.whisperx[27].text |
有啦 我也看到你們報告有寫我們每天每天都是注意這個去年的主會主要是這個賣匯主要是這個主匯啦就是這個主貶啦怕這個新台幣貶太多啦效果也還不錯啦相對其他的這個亞洲國家來講剩下一點時間我請教總裁就是說這個賴總統提到說這個五百元的紙鈔有可能會做改版 |
transcript.whisperx[28].start |
594.733 |
transcript.whisperx[28].end |
623.384 |
transcript.whisperx[28].text |
那甚至會做這一個紀念幣那我問一下這個目前有在做這個籌備的工作嗎我們對於就是說這個對於這個就是說我們的這個就是說我們我們的這一次那我先講那個紙擦好了對我們不是我們有在規劃就是說用紀念幣或紀念鈔的一個方式紀念幣特別是紀念幣這個部分我們要用這樣來 |
transcript.whisperx[29].start |
624.324 |
transcript.whisperx[29].end |
641.603 |
transcript.whisperx[29].text |
紀念碑大概時程是到哪時候?我們現在就還正在規劃紫超改版有想過嗎?紀念超現在是沒有所以目前就朝著紀念碑的方式你們要掌握一下時程 |
transcript.whisperx[30].start |
644.046 |
transcript.whisperx[30].end |
658.899 |
transcript.whisperx[30].text |
這個十二強是去年11月的事情那你們至少今年要把它做出來啊不然明年又變經典賽了啊我們盡量啦有沒有辦法今年做出來這十二強的經典賽我們也是希望啦我們也是希望朝這個目標來做好不好對對對好OK好謝謝謝謝總裁謝謝 |