| IVOD_ID |
163424 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/163424 |
| 日期 |
2025-08-07 |
| 會議資料.會議代碼 |
委員會-11-3-19-19 |
| 會議資料.會議代碼:str |
第11屆第3會期經濟委員會第19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 |
19 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
19 |
| 會議資料.委員會代碼:str[0] |
經濟委員會 |
| 會議資料.標題 |
第11屆第3會期經濟委員會第19次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-08-07T12:32:52+08:00 |
| 結束時間 |
2025-08-07T12:41:14+08:00 |
| 影片長度 |
00:08:22 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ce960b47cc6398b93dc79b82f50030be70dc6911ab88c3aae4ff6bd0191219ae14b82059455edac95ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
葉元之 |
| 委員發言時間 |
12:32:52 - 12:41:14 |
| 會議時間 |
2025-08-07T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第3會期經濟委員會第19次全體委員會議（事由：邀請國家發展委員會主任委員就「美國對等關稅底定後，我國經濟未來之景氣情況及產業全球佈局新規劃」進行報告，並備質詢。） |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
7.67534375 |
| transcript.pyannote[0].end |
8.67096875 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
9.61596875 |
| transcript.pyannote[1].end |
10.20659375 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
16.95659375 |
| transcript.pyannote[2].end |
24.55034375 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
24.90471875 |
| transcript.pyannote[3].end |
32.41409375 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
32.63346875 |
| transcript.pyannote[4].end |
35.04659375 |
| transcript.pyannote[5].speaker |
SPEAKER_01 |
| transcript.pyannote[5].start |
35.41784375 |
| transcript.pyannote[5].end |
39.67034375 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
40.17659375 |
| transcript.pyannote[6].end |
46.25159375 |
| transcript.pyannote[7].speaker |
SPEAKER_01 |
| transcript.pyannote[7].start |
46.70721875 |
| transcript.pyannote[7].end |
47.75346875 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
48.69846875 |
| transcript.pyannote[8].end |
54.79034375 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
54.79034375 |
| transcript.pyannote[9].end |
54.80721875 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
54.80721875 |
| transcript.pyannote[10].end |
54.97596875 |
| transcript.pyannote[11].speaker |
SPEAKER_01 |
| transcript.pyannote[11].start |
54.97596875 |
| transcript.pyannote[11].end |
55.00971875 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
55.00971875 |
| transcript.pyannote[12].end |
56.62971875 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
55.07721875 |
| transcript.pyannote[13].end |
55.70159375 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
56.30909375 |
| transcript.pyannote[14].end |
56.59596875 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
56.62971875 |
| transcript.pyannote[15].end |
62.92409375 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
63.78471875 |
| transcript.pyannote[16].end |
64.67909375 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
64.67909375 |
| transcript.pyannote[17].end |
69.13409375 |
| transcript.pyannote[18].speaker |
SPEAKER_01 |
| transcript.pyannote[18].start |
69.28596875 |
| transcript.pyannote[18].end |
73.50471875 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
73.94346875 |
| transcript.pyannote[19].end |
76.35659375 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
76.35659375 |
| transcript.pyannote[20].end |
76.44096875 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
76.71096875 |
| transcript.pyannote[21].end |
93.29909375 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
78.88784375 |
| transcript.pyannote[22].end |
80.17034375 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
81.31784375 |
| transcript.pyannote[23].end |
81.62159375 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
86.27909375 |
| transcript.pyannote[24].end |
87.12284375 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
93.09659375 |
| transcript.pyannote[25].end |
97.87221875 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
98.00721875 |
| transcript.pyannote[26].end |
101.87159375 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
102.42846875 |
| transcript.pyannote[27].end |
104.04846875 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
104.31846875 |
| transcript.pyannote[28].end |
108.72284375 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
105.49971875 |
| transcript.pyannote[29].end |
106.05659375 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
107.96346875 |
| transcript.pyannote[30].end |
108.06471875 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
109.41471875 |
| transcript.pyannote[31].end |
111.18659375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
111.47346875 |
| transcript.pyannote[32].end |
113.85284375 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
114.32534375 |
| transcript.pyannote[33].end |
114.35909375 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
114.35909375 |
| transcript.pyannote[34].end |
118.64534375 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
118.12221875 |
| transcript.pyannote[35].end |
122.64471875 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
122.42534375 |
| transcript.pyannote[36].end |
129.66471875 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
123.67409375 |
| transcript.pyannote[37].end |
123.82596875 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
129.88409375 |
| transcript.pyannote[38].end |
145.29096875 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
131.52096875 |
| transcript.pyannote[39].end |
133.42784375 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
144.10971875 |
| transcript.pyannote[40].end |
144.36284375 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
145.29096875 |
| transcript.pyannote[41].end |
148.31159375 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
145.35846875 |
| transcript.pyannote[42].end |
145.37534375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
145.45971875 |
| transcript.pyannote[43].end |
146.32034375 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
146.65784375 |
| transcript.pyannote[44].end |
147.51846875 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
148.80096875 |
| transcript.pyannote[45].end |
167.68409375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
152.42909375 |
| transcript.pyannote[46].end |
153.13784375 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
153.35721875 |
| transcript.pyannote[47].end |
153.61034375 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
155.75346875 |
| transcript.pyannote[48].end |
156.68159375 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
162.53721875 |
| transcript.pyannote[49].end |
163.92096875 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
163.98846875 |
| transcript.pyannote[50].end |
164.32596875 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
167.86971875 |
| transcript.pyannote[51].end |
174.75471875 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
174.02909375 |
| transcript.pyannote[52].end |
181.97721875 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
181.97721875 |
| transcript.pyannote[53].end |
182.21346875 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
182.21346875 |
| transcript.pyannote[54].end |
189.31784375 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
182.73659375 |
| transcript.pyannote[55].end |
187.10721875 |
| transcript.pyannote[56].speaker |
SPEAKER_01 |
| transcript.pyannote[56].start |
189.01409375 |
| transcript.pyannote[56].end |
195.05534375 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
195.05534375 |
| transcript.pyannote[57].end |
200.77596875 |
| transcript.pyannote[58].speaker |
SPEAKER_01 |
| transcript.pyannote[58].start |
195.10596875 |
| transcript.pyannote[58].end |
195.40971875 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
198.71721875 |
| transcript.pyannote[59].end |
200.23596875 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
200.77596875 |
| transcript.pyannote[60].end |
200.96159375 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
200.79284375 |
| transcript.pyannote[61].end |
202.46346875 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
201.11346875 |
| transcript.pyannote[62].end |
205.66971875 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
205.92284375 |
| transcript.pyannote[63].end |
206.85096875 |
| transcript.pyannote[64].speaker |
SPEAKER_01 |
| transcript.pyannote[64].start |
206.98596875 |
| transcript.pyannote[64].end |
207.03659375 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
207.07034375 |
| transcript.pyannote[65].end |
209.85471875 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
210.19221875 |
| transcript.pyannote[66].end |
212.74034375 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
213.11159375 |
| transcript.pyannote[67].end |
217.83659375 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
218.15721875 |
| transcript.pyannote[68].end |
219.23721875 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
219.35534375 |
| transcript.pyannote[69].end |
223.84409375 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
224.14784375 |
| transcript.pyannote[70].end |
225.26159375 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
225.44721875 |
| transcript.pyannote[71].end |
227.69159375 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
228.04596875 |
| transcript.pyannote[72].end |
234.37409375 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
234.54284375 |
| transcript.pyannote[73].end |
236.14596875 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
236.51721875 |
| transcript.pyannote[74].end |
238.74471875 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
239.01471875 |
| transcript.pyannote[75].end |
243.90846875 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
244.33034375 |
| transcript.pyannote[76].end |
247.53659375 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
247.67159375 |
| transcript.pyannote[77].end |
249.17346875 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
249.35909375 |
| transcript.pyannote[78].end |
250.81034375 |
| transcript.pyannote[79].speaker |
SPEAKER_01 |
| transcript.pyannote[79].start |
251.23221875 |
| transcript.pyannote[79].end |
252.56534375 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
252.56534375 |
| transcript.pyannote[80].end |
252.78471875 |
| transcript.pyannote[81].speaker |
SPEAKER_01 |
| transcript.pyannote[81].start |
252.78471875 |
| transcript.pyannote[81].end |
253.03784375 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
253.03784375 |
| transcript.pyannote[82].end |
269.59221875 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
270.06471875 |
| transcript.pyannote[83].end |
271.48221875 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
271.90409375 |
| transcript.pyannote[84].end |
276.37596875 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
276.93284375 |
| transcript.pyannote[85].end |
288.54284375 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
289.20096875 |
| transcript.pyannote[86].end |
296.32221875 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
296.69346875 |
| transcript.pyannote[87].end |
301.41846875 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
301.67159375 |
| transcript.pyannote[88].end |
307.18971875 |
| transcript.pyannote[89].speaker |
SPEAKER_01 |
| transcript.pyannote[89].start |
307.18971875 |
| transcript.pyannote[89].end |
311.50971875 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
307.24034375 |
| transcript.pyannote[90].end |
308.72534375 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
309.75471875 |
| transcript.pyannote[91].end |
310.59846875 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
311.67846875 |
| transcript.pyannote[92].end |
313.50096875 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
313.55159375 |
| transcript.pyannote[93].end |
314.71596875 |
| transcript.pyannote[94].speaker |
SPEAKER_01 |
| transcript.pyannote[94].start |
315.07034375 |
| transcript.pyannote[94].end |
324.92534375 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
317.31471875 |
| transcript.pyannote[95].end |
319.30596875 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
322.14096875 |
| transcript.pyannote[96].end |
324.97596875 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
324.97596875 |
| transcript.pyannote[97].end |
326.79846875 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
325.75221875 |
| transcript.pyannote[98].end |
336.21471875 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
327.65909375 |
| transcript.pyannote[99].end |
329.04284375 |
| transcript.pyannote[100].speaker |
SPEAKER_01 |
| transcript.pyannote[100].start |
330.54471875 |
| transcript.pyannote[100].end |
340.02846875 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
340.04534375 |
| transcript.pyannote[101].end |
340.16346875 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
340.50096875 |
| transcript.pyannote[102].end |
341.76659375 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
341.88471875 |
| transcript.pyannote[103].end |
346.03596875 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
346.25534375 |
| transcript.pyannote[104].end |
346.59284375 |
| transcript.pyannote[105].speaker |
SPEAKER_01 |
| transcript.pyannote[105].start |
347.28471875 |
| transcript.pyannote[105].end |
349.81596875 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
347.31846875 |
| transcript.pyannote[106].end |
348.21284375 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
348.41534375 |
| transcript.pyannote[107].end |
348.60096875 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
350.76096875 |
| transcript.pyannote[108].end |
355.82346875 |
| transcript.pyannote[109].speaker |
SPEAKER_01 |
| transcript.pyannote[109].start |
355.84034375 |
| transcript.pyannote[109].end |
360.02534375 |
| transcript.pyannote[110].speaker |
SPEAKER_01 |
| transcript.pyannote[110].start |
360.31221875 |
| transcript.pyannote[110].end |
362.32034375 |
| transcript.pyannote[111].speaker |
SPEAKER_01 |
| transcript.pyannote[111].start |
362.82659375 |
| transcript.pyannote[111].end |
363.33284375 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
363.65346875 |
| transcript.pyannote[112].end |
370.92659375 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
371.66909375 |
| transcript.pyannote[113].end |
373.17096875 |
| transcript.pyannote[114].speaker |
SPEAKER_01 |
| transcript.pyannote[114].start |
373.87971875 |
| transcript.pyannote[114].end |
378.04784375 |
| transcript.pyannote[115].speaker |
SPEAKER_01 |
| transcript.pyannote[115].start |
378.26721875 |
| transcript.pyannote[115].end |
380.76471875 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
381.64221875 |
| transcript.pyannote[116].end |
382.03034375 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
382.73909375 |
| transcript.pyannote[117].end |
389.35409375 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
389.74221875 |
| transcript.pyannote[118].end |
391.17659375 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
391.44659375 |
| transcript.pyannote[119].end |
395.26034375 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
395.54721875 |
| transcript.pyannote[120].end |
411.12284375 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
411.59534375 |
| transcript.pyannote[121].end |
422.98596875 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
423.18846875 |
| transcript.pyannote[122].end |
435.43971875 |
| transcript.pyannote[123].speaker |
SPEAKER_01 |
| transcript.pyannote[123].start |
435.28784375 |
| transcript.pyannote[123].end |
443.65784375 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
439.18596875 |
| transcript.pyannote[124].end |
441.00846875 |
| transcript.pyannote[125].speaker |
SPEAKER_01 |
| transcript.pyannote[125].start |
444.09659375 |
| transcript.pyannote[125].end |
450.39096875 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
446.56034375 |
| transcript.pyannote[126].end |
448.48409375 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
449.83409375 |
| transcript.pyannote[127].end |
450.86346875 |
| transcript.pyannote[128].speaker |
SPEAKER_01 |
| transcript.pyannote[128].start |
450.86346875 |
| transcript.pyannote[128].end |
452.23034375 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
450.89721875 |
| transcript.pyannote[129].end |
455.82471875 |
| transcript.pyannote[130].speaker |
SPEAKER_01 |
| transcript.pyannote[130].start |
453.58034375 |
| transcript.pyannote[130].end |
454.08659375 |
| transcript.pyannote[131].speaker |
SPEAKER_01 |
| transcript.pyannote[131].start |
455.31846875 |
| transcript.pyannote[131].end |
462.59159375 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
459.03096875 |
| transcript.pyannote[132].end |
459.68909375 |
| transcript.pyannote[133].speaker |
SPEAKER_00 |
| transcript.pyannote[133].start |
463.01346875 |
| transcript.pyannote[133].end |
465.44346875 |
| transcript.pyannote[134].speaker |
SPEAKER_01 |
| transcript.pyannote[134].start |
463.77284375 |
| transcript.pyannote[134].end |
464.31284375 |
| transcript.pyannote[135].speaker |
SPEAKER_01 |
| transcript.pyannote[135].start |
464.59971875 |
| transcript.pyannote[135].end |
467.80596875 |
| transcript.pyannote[136].speaker |
SPEAKER_00 |
| transcript.pyannote[136].start |
466.16909375 |
| transcript.pyannote[136].end |
486.77346875 |
| transcript.pyannote[137].speaker |
SPEAKER_01 |
| transcript.pyannote[137].start |
476.78346875 |
| transcript.pyannote[137].end |
477.17159375 |
| transcript.pyannote[138].speaker |
SPEAKER_00 |
| transcript.pyannote[138].start |
487.02659375 |
| transcript.pyannote[138].end |
488.44409375 |
| transcript.pyannote[139].speaker |
SPEAKER_00 |
| transcript.pyannote[139].start |
488.78159375 |
| transcript.pyannote[139].end |
488.79846875 |
| transcript.pyannote[140].speaker |
SPEAKER_01 |
| transcript.pyannote[140].start |
488.79846875 |
| transcript.pyannote[140].end |
488.93346875 |
| transcript.pyannote[141].speaker |
SPEAKER_00 |
| transcript.pyannote[141].start |
488.93346875 |
| transcript.pyannote[141].end |
488.96721875 |
| transcript.pyannote[142].speaker |
SPEAKER_01 |
| transcript.pyannote[142].start |
488.96721875 |
| transcript.pyannote[142].end |
489.30471875 |
| transcript.pyannote[143].speaker |
SPEAKER_00 |
| transcript.pyannote[143].start |
489.30471875 |
| transcript.pyannote[143].end |
489.96284375 |
| transcript.pyannote[144].speaker |
SPEAKER_01 |
| transcript.pyannote[144].start |
489.96284375 |
| transcript.pyannote[144].end |
490.46909375 |
| transcript.pyannote[145].speaker |
SPEAKER_00 |
| transcript.pyannote[145].start |
490.46909375 |
| transcript.pyannote[145].end |
492.37596875 |
| transcript.pyannote[146].speaker |
SPEAKER_01 |
| transcript.pyannote[146].start |
490.48596875 |
| transcript.pyannote[146].end |
493.72596875 |
| transcript.pyannote[147].speaker |
SPEAKER_00 |
| transcript.pyannote[147].start |
493.11846875 |
| transcript.pyannote[147].end |
495.70034375 |
| transcript.pyannote[148].speaker |
SPEAKER_00 |
| transcript.pyannote[148].start |
496.59471875 |
| transcript.pyannote[148].end |
497.59034375 |
| transcript.pyannote[149].speaker |
SPEAKER_00 |
| transcript.pyannote[149].start |
498.63659375 |
| transcript.pyannote[149].end |
499.39596875 |
| transcript.pyannote[150].speaker |
SPEAKER_00 |
| transcript.pyannote[150].start |
499.95284375 |
| transcript.pyannote[150].end |
500.02034375 |
| transcript.pyannote[151].speaker |
SPEAKER_01 |
| transcript.pyannote[151].start |
500.02034375 |
| transcript.pyannote[151].end |
500.08784375 |
| transcript.pyannote[152].speaker |
SPEAKER_00 |
| transcript.pyannote[152].start |
500.08784375 |
| transcript.pyannote[152].end |
500.25659375 |
| transcript.pyannote[153].speaker |
SPEAKER_00 |
| transcript.pyannote[153].start |
500.52659375 |
| transcript.pyannote[153].end |
501.06659375 |
| transcript.whisperx[0].start |
7.697 |
| transcript.whisperx[0].end |
8.278 |
| transcript.whisperx[0].text |
請主委謝謝都主委 |
| transcript.whisperx[1].start |
18.432 |
| transcript.whisperx[1].end |
45.383 |
| transcript.whisperx[1].text |
主委您其實是有兩種身份一個您是國防局主委你也是台積電的官方的股東所以問到台積電這個問題的話我覺得你的角色是比較尷尬一方面你要配合政府政策另外一方面你要兼顧到企業的獲利所以我想問一下這個官方董事有關於台積電一些大家關注議題的一些態度第一個是昨天傳出來說川普希望台積電去增加投資3000億美金那最新的說法又變2000億對不對 |
| transcript.whisperx[2].start |
46.844 |
| transcript.whisperx[2].end |
61.73 |
| transcript.whisperx[2].text |
你的了解是怎樣我們的了解目前台積電沒有討論過這些事情台積電沒有那川普有期望嗎那是他的個人期望我知道你早有這樣講但因為下週就有台積電董事會你會去開嗎 |
| transcript.whisperx[3].start |
64.114 |
| transcript.whisperx[3].end |
87.253 |
| transcript.whisperx[3].text |
我會去你會去 請問一下現在如果直接問你 在董事會裡面川普要求台積電多投資兩千億美金那不曉得你的態度 以及台積電的態度會是怎樣我還是要看台積電的分析啦那這種投資一定要分析嘛那分析利弊 分析所有的一切嘛那我等待他的分析啦但是會不會討論我 |
| transcript.whisperx[4].start |
89.975 |
| transcript.whisperx[4].end |
112.901 |
| transcript.whisperx[4].text |
我也至少應該沒有在議題內目前所以下週董事會不會討論到台積電要不要去增加投資這個議題我們沒辦法去會不會有臨時的議題但是至少目前我們沒有要至少目前是沒有昨天提出來那如果台積電還是要看台積電有沒有要有沒有把他納入議題來討論 |
| transcript.whisperx[5].start |
114.586 |
| transcript.whisperx[5].end |
132.456 |
| transcript.whisperx[5].text |
因為你也是董事之一嘛而且你又是官方的代表你應該不是被動對你也是有一些主動權所以才請教你的態度不會我沒辦法在董事會跟他們講說聽到媒體川普有這樣講你要不要這樣做那如果按照主委這樣講法還是要由經營團隊來對他經營的現況的狀態提出評估 |
| transcript.whisperx[6].start |
139.52 |
| transcript.whisperx[6].end |
161.641 |
| transcript.whisperx[6].text |
至於他要不要take這樣的想法也是經營團隊做出我們看到魏哲嘉董事長他講的最新的說法是說台積電目前就是投資1650億美金目前還是以這個態度那您是說下週沒有這個議題但是不知道會不會忽然間有臨時提案這目前您掌握的狀況這個是 |
| transcript.whisperx[7].start |
164.144 |
| transcript.whisperx[7].end |
169.652 |
| transcript.whisperx[7].text |
謝謝那另外一個就是我早上有看到你發言你說即便是232川普的關稅加到100%你覺得也沒問題因為台灣很有競爭力我沒有說一定沒有問題但是對我們的衝擊相較別的國家來看目前我們的衝擊是 |
| transcript.whisperx[8].start |
180.686 |
| transcript.whisperx[8].end |
204.015 |
| transcript.whisperx[8].text |
還算是 他是因為別的國家半導體也要100%的狀況 他也是100%對 大家都是100%的狀況 多數沒有在美國設置就是同樣條件情況之下你認為我們有競爭力嗎所以不會 是從競爭的角度我早上的說法是我們在這個業界我們是領先的國家我知道 我知道 這我還沒有問問題的但是我的問題是說你現在是用競爭的角度在談這個事但問題是你今天可能會產生兩個問題嘛第一個 如果 |
| transcript.whisperx[9].start |
211.058 |
| transcript.whisperx[9].end |
234.775 |
| transcript.whisperx[9].text |
232關稅是100%半導體是100%的話那還是會壓縮到台積電的獲利啊還是會啊因為到時候品牌商有可能會叫台積電來分擔這個關稅所產生的成本嘛這是第一個問題嘛第二個問題是那產業他有沒有可能因為不想要付這100%他就直接就移到美國去這也是有可能那如果移過去的話會影響到國內的就業嘛 |
| transcript.whisperx[10].start |
236.596 |
| transcript.whisperx[10].end |
266.082 |
| transcript.whisperx[10].text |
其實還有第三個問題啦 第三個問題就是那這個232其實它影響的不是只有半導體產業它還有影響其他電子業那其他的電子業是不是如你所講的在全球都是這麼有都是那麼樂觀啦所以不曉得這個主委你是怎麼看待這個事情針對台積電的部分喔 因為台積電在美國十幾年前就設廠了在奧拉岡州那亞利桑那的第一廠也也都蓋好了嘛 所以它 |
| transcript.whisperx[11].start |
266.702 |
| transcript.whisperx[11].end |
288.243 |
| transcript.whisperx[11].text |
已經符合川普零關稅的條件所以今天台積電我剛剛聽其他委員的分享是股價的大漲因為它本身更具競爭力因為台積電關稅是零那當然台灣有一些已經在美國有工廠的那你這次這個過程看起來都有受惠 |
| transcript.whisperx[12].start |
289.564 |
| transcript.whisperx[12].end |
310.538 |
| transcript.whisperx[12].text |
那另外對於其他廠商我想我今天早上也說明很多次我們其實都做過座談會我們當然那時候的關稅沒有到那麼高只是大家在談關稅的時候只要是齊頭式的大家競爭對手也是拉那麼高的話他們認為就競爭的角度我們就所以諸位對不起我們時間有限所以你認為說這個232關稅就算 |
| transcript.whisperx[13].start |
313.76 |
| transcript.whisperx[13].end |
339.715 |
| transcript.whisperx[13].text |
再高其實對台積電或是其他廠商來說是有利的你的結論是這樣委員你這個結論是不對的因為你剛剛講說因為他們在那個美國已經有廠啦所以這不會影響它嘛我講的是叫相較喔我知道當你都在100%的時候相較其他的地方但是我剛剛提的是它有沒有可能它有沒有可能就更增加投資嘛等一下我沒有講完就是說它有沒有可能會因為它 |
| transcript.whisperx[14].start |
340.695 |
| transcript.whisperx[14].end |
347.785 |
| transcript.whisperx[14].text |
產業就直接移過去不想被抽太多然後甚至壓縮利潤嘛我剛剛講的是這個嘛你沒有回答嘛對我最後問一個問題你的台積電 |
| transcript.whisperx[15].start |
350.891 |
| transcript.whisperx[15].end |
370.738 |
| transcript.whisperx[15].text |
因為那個工程最近有發生有工程師就竊取二奈米的機密資料那昨天大家在討論說是日本這個廠商日本廠商有一個合作的廠商是他們的晶片國家隊所以我不知道說我們現在在政府包括主委您同時是國會主委您也本身也是台積電的官方董事 |
| transcript.whisperx[16].start |
371.718 |
| transcript.whisperx[16].end |
380.612 |
| transcript.whisperx[16].text |
你對於日本有公司然後利用這種方式可能疑似得到我們的二代名的機密資料你的態度是什麼 |
| transcript.whisperx[17].start |
383.033 |
| transcript.whisperx[17].end |
408.297 |
| transcript.whisperx[17].text |
我的態度是很清楚的第一個我們我第一個時間其實我有這個去通知這個台積電請他說明因為我們希望能夠從此把門關起來其實遇到問題解決問題比較重要那我們先把這個問題要解決掉把門關好那台積電看起來已經做好了新的各種因為這是他主動偵測那現在他主要是 |
| transcript.whisperx[18].start |
411.658 |
| transcript.whisperx[18].end |
427.198 |
| transcript.whisperx[18].text |
主要的原因他们也在解决那就政府而言检调出去之后国科会也进来依据国安法的部分都进来了那相关权责单位也进来了那整个背后的犯案动机可能要经过检调调查的结果了 |
| transcript.whisperx[19].start |
427.358 |
| transcript.whisperx[19].end |
443.092 |
| transcript.whisperx[19].text |
我們現在可能很難影射說就是哪一家公司啦那看當事人的犯案動機經過偵查之後應該會有個明朗的結果所以你現在的態度就是說先只有就是先防避不要再讓這個事情再繼續然後第二個是說檢調介入那政府現在面對 |
| transcript.whisperx[20].start |
444.173 |
| transcript.whisperx[20].end |
462.189 |
| transcript.whisperx[20].text |
可能日本的公司他現在疑似竊取了我們機密那這件事情政府的態度是什麼我不是說針對台積電政府的態度很清楚這是一個國安的問題所以我們會引用國安法來處理但是因為你的意思是說因為國安法是針對我們內部嘛我現在是說政府對外因為這是日本的公司啊你們的態度是什麼 |
| transcript.whisperx[21].start |
463.052 |
| transcript.whisperx[21].end |
480.828 |
| transcript.whisperx[21].text |
我的態度很清楚你不要講說對台積電的態度或者是說對犯案我的態度剛才也講得很清楚我們必須偵查清楚這個當事人犯案的背後的動機他背後是不是一定是日本人其實我們現在是一個議程因為這是國與國的事情我們必須把事情查得很清楚 |
| transcript.whisperx[22].start |
481.368 |
| transcript.whisperx[22].end |
497.255 |
| transcript.whisperx[22].text |
然後再來做對 查清楚那現在因為人都已經在都在剪掉的掌握上了他應該可以查清楚對 查清楚之後如果是牽涉到國慾國你才會有一個比較強硬的態度出來是不是應該會依據事實來做決定啦好好 謝謝好 謝謝委員好 謝謝 |