| IVOD_ID |
164518 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/164518 |
| 日期 |
2025-10-22 |
| 會議資料.會議代碼 |
委員會-11-4-19-6 |
| 會議資料.會議代碼:str |
第11屆第4會期經濟委員會第6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 |
6 |
| 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4會期經濟委員會第6次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-10-22T10:18:02+08:00 |
| 結束時間 |
2025-10-22T10:28:37+08:00 |
| 影片長度 |
00:10:35 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/615807a88c5be4da8ee57c4a405cdc06e072f7c27276b8ae83c966d97180d5d22aeb4f393fa6d6c65ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
謝衣鳯 |
| 委員發言時間 |
10:18:02 - 10:28:37 |
| 會議時間 |
2025-10-22T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4會期經濟委員會第6次全體委員會議（事由：邀請經濟部部長列席報告業務概況，並備質詢。） |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
1.02659375 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
3.82784375 |
| transcript.pyannote[1].end |
5.12721875 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
5.48159375 |
| transcript.pyannote[2].end |
7.48971875 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
15.77534375 |
| transcript.pyannote[3].end |
18.47534375 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
18.98159375 |
| transcript.pyannote[4].end |
20.46659375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
26.64284375 |
| transcript.pyannote[5].end |
27.52034375 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
27.57096875 |
| transcript.pyannote[6].end |
37.96596875 |
| transcript.pyannote[7].speaker |
SPEAKER_01 |
| transcript.pyannote[7].start |
38.42159375 |
| transcript.pyannote[7].end |
39.87284375 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
40.36221875 |
| transcript.pyannote[8].end |
41.44221875 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
41.54346875 |
| transcript.pyannote[9].end |
43.65284375 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
45.05346875 |
| transcript.pyannote[10].end |
48.32721875 |
| transcript.pyannote[11].speaker |
SPEAKER_01 |
| transcript.pyannote[11].start |
47.73659375 |
| transcript.pyannote[11].end |
51.38159375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
49.91346875 |
| transcript.pyannote[12].end |
50.31846875 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
52.14096875 |
| transcript.pyannote[13].end |
55.97159375 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
56.19096875 |
| transcript.pyannote[14].end |
56.91659375 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
56.95034375 |
| transcript.pyannote[15].end |
60.69659375 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
60.10596875 |
| transcript.pyannote[16].end |
60.44346875 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
60.69659375 |
| transcript.pyannote[17].end |
61.03409375 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
61.03409375 |
| transcript.pyannote[18].end |
61.21971875 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
61.21971875 |
| transcript.pyannote[19].end |
61.28721875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
61.28721875 |
| transcript.pyannote[20].end |
61.37159375 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
61.37159375 |
| transcript.pyannote[21].end |
61.42221875 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
61.42221875 |
| transcript.pyannote[22].end |
61.45596875 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
61.45596875 |
| transcript.pyannote[23].end |
61.60784375 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
61.60784375 |
| transcript.pyannote[24].end |
61.87784375 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
61.87784375 |
| transcript.pyannote[25].end |
62.02971875 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
62.02971875 |
| transcript.pyannote[26].end |
68.64471875 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
66.67034375 |
| transcript.pyannote[27].end |
71.20971875 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
73.15034375 |
| transcript.pyannote[28].end |
74.46659375 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
74.78721875 |
| transcript.pyannote[29].end |
75.69846875 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
76.35659375 |
| transcript.pyannote[30].end |
76.91346875 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
77.36909375 |
| transcript.pyannote[31].end |
86.95409375 |
| transcript.pyannote[32].speaker |
SPEAKER_01 |
| transcript.pyannote[32].start |
81.70596875 |
| transcript.pyannote[32].end |
82.60034375 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
85.03034375 |
| transcript.pyannote[33].end |
85.92471875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
87.66284375 |
| transcript.pyannote[34].end |
89.50221875 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
89.53596875 |
| transcript.pyannote[35].end |
90.88596875 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
90.95346875 |
| transcript.pyannote[36].end |
95.81346875 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
91.12221875 |
| transcript.pyannote[37].end |
91.34159375 |
| transcript.pyannote[38].speaker |
SPEAKER_01 |
| transcript.pyannote[38].start |
95.99909375 |
| transcript.pyannote[38].end |
96.03284375 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
96.03284375 |
| transcript.pyannote[39].end |
96.04971875 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
96.04971875 |
| transcript.pyannote[40].end |
98.88471875 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
96.21846875 |
| transcript.pyannote[41].end |
104.36909375 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
103.69409375 |
| transcript.pyannote[42].end |
106.96784375 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
107.82846875 |
| transcript.pyannote[43].end |
108.67221875 |
| transcript.pyannote[44].speaker |
SPEAKER_01 |
| transcript.pyannote[44].start |
109.07721875 |
| transcript.pyannote[44].end |
110.62971875 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
112.58721875 |
| transcript.pyannote[45].end |
116.04659375 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
114.93284375 |
| transcript.pyannote[46].end |
119.03346875 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
116.75534375 |
| transcript.pyannote[47].end |
118.59471875 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
119.03346875 |
| transcript.pyannote[48].end |
119.05034375 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
119.05034375 |
| transcript.pyannote[49].end |
120.02909375 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
120.02909375 |
| transcript.pyannote[50].end |
123.47159375 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
123.72471875 |
| transcript.pyannote[51].end |
127.23471875 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
127.69034375 |
| transcript.pyannote[52].end |
128.02784375 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
128.11221875 |
| transcript.pyannote[53].end |
128.21346875 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
128.44971875 |
| transcript.pyannote[54].end |
141.02159375 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
137.84909375 |
| transcript.pyannote[55].end |
139.08096875 |
| transcript.pyannote[56].speaker |
SPEAKER_01 |
| transcript.pyannote[56].start |
141.30846875 |
| transcript.pyannote[56].end |
142.42221875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
141.84846875 |
| transcript.pyannote[57].end |
142.75971875 |
| transcript.pyannote[58].speaker |
SPEAKER_01 |
| transcript.pyannote[58].start |
142.48971875 |
| transcript.pyannote[58].end |
145.20659375 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
146.05034375 |
| transcript.pyannote[59].end |
153.03659375 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
153.07034375 |
| transcript.pyannote[60].end |
155.14596875 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
155.29784375 |
| transcript.pyannote[61].end |
156.61409375 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
157.49159375 |
| transcript.pyannote[62].end |
158.48721875 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
158.85846875 |
| transcript.pyannote[63].end |
160.32659375 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
160.32659375 |
| transcript.pyannote[64].end |
160.68096875 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
160.68096875 |
| transcript.pyannote[65].end |
160.69784375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
160.69784375 |
| transcript.pyannote[66].end |
160.73159375 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
160.73159375 |
| transcript.pyannote[67].end |
160.79909375 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
160.79909375 |
| transcript.pyannote[68].end |
160.93409375 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
160.93409375 |
| transcript.pyannote[69].end |
161.03534375 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
161.03534375 |
| transcript.pyannote[70].end |
161.13659375 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
161.13659375 |
| transcript.pyannote[71].end |
163.39784375 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
162.65534375 |
| transcript.pyannote[72].end |
165.99659375 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
163.97159375 |
| transcript.pyannote[73].end |
164.73096875 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
166.14846875 |
| transcript.pyannote[74].end |
168.88221875 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
167.90346875 |
| transcript.pyannote[75].end |
169.28721875 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
169.28721875 |
| transcript.pyannote[76].end |
177.87659375 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
177.97784375 |
| transcript.pyannote[77].end |
177.99471875 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
178.02846875 |
| transcript.pyannote[78].end |
182.82096875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
180.77909375 |
| transcript.pyannote[79].end |
181.33596875 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
182.82096875 |
| transcript.pyannote[80].end |
183.20909375 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
183.41159375 |
| transcript.pyannote[81].end |
189.16596875 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
190.00971875 |
| transcript.pyannote[82].end |
192.23721875 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
192.27096875 |
| transcript.pyannote[83].end |
201.94034375 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
202.31159375 |
| transcript.pyannote[84].end |
203.86409375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
203.96534375 |
| transcript.pyannote[85].end |
204.01596875 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
204.01596875 |
| transcript.pyannote[86].end |
204.18471875 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
204.18471875 |
| transcript.pyannote[87].end |
205.16346875 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
204.20159375 |
| transcript.pyannote[88].end |
204.40409375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
205.70346875 |
| transcript.pyannote[89].end |
206.24346875 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
206.63159375 |
| transcript.pyannote[90].end |
207.84659375 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
207.57659375 |
| transcript.pyannote[91].end |
209.24721875 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
207.94784375 |
| transcript.pyannote[92].end |
207.96471875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
208.72409375 |
| transcript.pyannote[93].end |
213.61784375 |
| transcript.pyannote[94].speaker |
SPEAKER_01 |
| transcript.pyannote[94].start |
209.80409375 |
| transcript.pyannote[94].end |
210.68159375 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
212.94284375 |
| transcript.pyannote[95].end |
227.48909375 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
220.67159375 |
| transcript.pyannote[96].end |
221.00909375 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
227.77596875 |
| transcript.pyannote[97].end |
231.38721875 |
| transcript.pyannote[98].speaker |
SPEAKER_01 |
| transcript.pyannote[98].start |
231.65721875 |
| transcript.pyannote[98].end |
234.57659375 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
235.55534375 |
| transcript.pyannote[99].end |
238.81221875 |
| transcript.pyannote[100].speaker |
SPEAKER_01 |
| transcript.pyannote[100].start |
239.25096875 |
| transcript.pyannote[100].end |
245.25846875 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
245.34284375 |
| transcript.pyannote[101].end |
251.18159375 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
251.40096875 |
| transcript.pyannote[102].end |
252.70034375 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
253.44284375 |
| transcript.pyannote[103].end |
254.18534375 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
254.79284375 |
| transcript.pyannote[104].end |
264.49596875 |
| transcript.pyannote[105].speaker |
SPEAKER_01 |
| transcript.pyannote[105].start |
264.96846875 |
| transcript.pyannote[105].end |
304.08471875 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
304.33784375 |
| transcript.pyannote[106].end |
314.46284375 |
| transcript.pyannote[107].speaker |
SPEAKER_01 |
| transcript.pyannote[107].start |
308.92784375 |
| transcript.pyannote[107].end |
308.99534375 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
314.95221875 |
| transcript.pyannote[108].end |
325.21221875 |
| transcript.pyannote[109].speaker |
SPEAKER_01 |
| transcript.pyannote[109].start |
320.03159375 |
| transcript.pyannote[109].end |
320.06534375 |
| transcript.pyannote[110].speaker |
SPEAKER_01 |
| transcript.pyannote[110].start |
320.20034375 |
| transcript.pyannote[110].end |
320.31846875 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
325.26284375 |
| transcript.pyannote[111].end |
329.80221875 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
325.36409375 |
| transcript.pyannote[112].end |
325.88721875 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
329.80221875 |
| transcript.pyannote[113].end |
335.35409375 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
331.45596875 |
| transcript.pyannote[114].end |
331.54034375 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
331.57409375 |
| transcript.pyannote[115].end |
331.65846875 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
331.67534375 |
| transcript.pyannote[116].end |
332.14784375 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
335.35409375 |
| transcript.pyannote[117].end |
336.45096875 |
| transcript.pyannote[118].speaker |
SPEAKER_01 |
| transcript.pyannote[118].start |
336.45096875 |
| transcript.pyannote[118].end |
342.03659375 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
336.50159375 |
| transcript.pyannote[119].end |
336.80534375 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
337.42971875 |
| transcript.pyannote[120].end |
338.56034375 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
340.85534375 |
| transcript.pyannote[121].end |
341.09159375 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
342.03659375 |
| transcript.pyannote[122].end |
344.23034375 |
| transcript.pyannote[123].speaker |
SPEAKER_01 |
| transcript.pyannote[123].start |
342.55971875 |
| transcript.pyannote[123].end |
345.91784375 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
346.40721875 |
| transcript.pyannote[124].end |
352.70159375 |
| transcript.pyannote[125].speaker |
SPEAKER_01 |
| transcript.pyannote[125].start |
346.44096875 |
| transcript.pyannote[125].end |
347.31846875 |
| transcript.pyannote[126].speaker |
SPEAKER_01 |
| transcript.pyannote[126].start |
353.32596875 |
| transcript.pyannote[126].end |
355.30034375 |
| transcript.pyannote[127].speaker |
SPEAKER_01 |
| transcript.pyannote[127].start |
355.41846875 |
| transcript.pyannote[127].end |
361.62846875 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
361.62846875 |
| transcript.pyannote[128].end |
374.35221875 |
| transcript.pyannote[129].speaker |
SPEAKER_01 |
| transcript.pyannote[129].start |
361.84784375 |
| transcript.pyannote[129].end |
361.96596875 |
| transcript.pyannote[130].speaker |
SPEAKER_01 |
| transcript.pyannote[130].start |
367.38284375 |
| transcript.pyannote[130].end |
367.80471875 |
| transcript.pyannote[131].speaker |
SPEAKER_01 |
| transcript.pyannote[131].start |
373.37346875 |
| transcript.pyannote[131].end |
376.30971875 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
376.03971875 |
| transcript.pyannote[132].end |
382.45221875 |
| transcript.pyannote[133].speaker |
SPEAKER_01 |
| transcript.pyannote[133].start |
377.49096875 |
| transcript.pyannote[133].end |
380.81534375 |
| transcript.pyannote[134].speaker |
SPEAKER_01 |
| transcript.pyannote[134].start |
382.45221875 |
| transcript.pyannote[134].end |
382.80659375 |
| transcript.pyannote[135].speaker |
SPEAKER_00 |
| transcript.pyannote[135].start |
382.80659375 |
| transcript.pyannote[135].end |
384.67971875 |
| transcript.pyannote[136].speaker |
SPEAKER_01 |
| transcript.pyannote[136].start |
384.67971875 |
| transcript.pyannote[136].end |
387.37971875 |
| transcript.pyannote[137].speaker |
SPEAKER_00 |
| transcript.pyannote[137].start |
387.37971875 |
| transcript.pyannote[137].end |
387.70034375 |
| transcript.pyannote[138].speaker |
SPEAKER_01 |
| transcript.pyannote[138].start |
387.70034375 |
| transcript.pyannote[138].end |
398.56784375 |
| transcript.pyannote[139].speaker |
SPEAKER_00 |
| transcript.pyannote[139].start |
387.80159375 |
| transcript.pyannote[139].end |
389.10096875 |
| transcript.pyannote[140].speaker |
SPEAKER_00 |
| transcript.pyannote[140].start |
390.38346875 |
| transcript.pyannote[140].end |
391.63221875 |
| transcript.pyannote[141].speaker |
SPEAKER_01 |
| transcript.pyannote[141].start |
399.00659375 |
| transcript.pyannote[141].end |
400.22159375 |
| transcript.pyannote[142].speaker |
SPEAKER_00 |
| transcript.pyannote[142].start |
400.22159375 |
| transcript.pyannote[142].end |
406.29659375 |
| transcript.pyannote[143].speaker |
SPEAKER_01 |
| transcript.pyannote[143].start |
406.29659375 |
| transcript.pyannote[143].end |
414.51471875 |
| transcript.pyannote[144].speaker |
SPEAKER_00 |
| transcript.pyannote[144].start |
406.33034375 |
| transcript.pyannote[144].end |
406.97159375 |
| transcript.pyannote[145].speaker |
SPEAKER_01 |
| transcript.pyannote[145].start |
415.57784375 |
| transcript.pyannote[145].end |
416.03346875 |
| transcript.pyannote[146].speaker |
SPEAKER_00 |
| transcript.pyannote[146].start |
416.03346875 |
| transcript.pyannote[146].end |
417.94034375 |
| transcript.pyannote[147].speaker |
SPEAKER_01 |
| transcript.pyannote[147].start |
417.94034375 |
| transcript.pyannote[147].end |
419.00346875 |
| transcript.pyannote[148].speaker |
SPEAKER_00 |
| transcript.pyannote[148].start |
419.00346875 |
| transcript.pyannote[148].end |
419.02034375 |
| transcript.pyannote[149].speaker |
SPEAKER_01 |
| transcript.pyannote[149].start |
419.02034375 |
| transcript.pyannote[149].end |
419.27346875 |
| transcript.pyannote[150].speaker |
SPEAKER_00 |
| transcript.pyannote[150].start |
419.03721875 |
| transcript.pyannote[150].end |
422.15909375 |
| transcript.pyannote[151].speaker |
SPEAKER_01 |
| transcript.pyannote[151].start |
419.83034375 |
| transcript.pyannote[151].end |
421.38284375 |
| transcript.pyannote[152].speaker |
SPEAKER_01 |
| transcript.pyannote[152].start |
421.51784375 |
| transcript.pyannote[152].end |
465.89909375 |
| transcript.pyannote[153].speaker |
SPEAKER_00 |
| transcript.pyannote[153].start |
466.48971875 |
| transcript.pyannote[153].end |
508.27221875 |
| transcript.pyannote[154].speaker |
SPEAKER_01 |
| transcript.pyannote[154].start |
479.31471875 |
| transcript.pyannote[154].end |
479.82096875 |
| transcript.pyannote[155].speaker |
SPEAKER_01 |
| transcript.pyannote[155].start |
485.00159375 |
| transcript.pyannote[155].end |
485.38971875 |
| transcript.pyannote[156].speaker |
SPEAKER_01 |
| transcript.pyannote[156].start |
507.98534375 |
| transcript.pyannote[156].end |
509.57159375 |
| transcript.pyannote[157].speaker |
SPEAKER_00 |
| transcript.pyannote[157].start |
509.77409375 |
| transcript.pyannote[157].end |
510.41534375 |
| transcript.pyannote[158].speaker |
SPEAKER_01 |
| transcript.pyannote[158].start |
510.16221875 |
| transcript.pyannote[158].end |
511.54596875 |
| transcript.pyannote[159].speaker |
SPEAKER_00 |
| transcript.pyannote[159].start |
512.17034375 |
| transcript.pyannote[159].end |
518.02596875 |
| transcript.pyannote[160].speaker |
SPEAKER_01 |
| transcript.pyannote[160].start |
514.21221875 |
| transcript.pyannote[160].end |
514.85346875 |
| transcript.pyannote[161].speaker |
SPEAKER_01 |
| transcript.pyannote[161].start |
514.90409375 |
| transcript.pyannote[161].end |
515.61284375 |
| transcript.pyannote[162].speaker |
SPEAKER_00 |
| transcript.pyannote[162].start |
518.44784375 |
| transcript.pyannote[162].end |
519.86534375 |
| transcript.pyannote[163].speaker |
SPEAKER_01 |
| transcript.pyannote[163].start |
518.48159375 |
| transcript.pyannote[163].end |
521.18159375 |
| transcript.pyannote[164].speaker |
SPEAKER_00 |
| transcript.pyannote[164].start |
520.94534375 |
| transcript.pyannote[164].end |
522.26159375 |
| transcript.pyannote[165].speaker |
SPEAKER_01 |
| transcript.pyannote[165].start |
521.72159375 |
| transcript.pyannote[165].end |
524.53971875 |
| transcript.pyannote[166].speaker |
SPEAKER_00 |
| transcript.pyannote[166].start |
525.11346875 |
| transcript.pyannote[166].end |
528.52221875 |
| transcript.pyannote[167].speaker |
SPEAKER_00 |
| transcript.pyannote[167].start |
528.91034375 |
| transcript.pyannote[167].end |
537.31409375 |
| transcript.pyannote[168].speaker |
SPEAKER_01 |
| transcript.pyannote[168].start |
533.97284375 |
| transcript.pyannote[168].end |
534.66471875 |
| transcript.pyannote[169].speaker |
SPEAKER_00 |
| transcript.pyannote[169].start |
537.58409375 |
| transcript.pyannote[169].end |
539.37284375 |
| transcript.pyannote[170].speaker |
SPEAKER_01 |
| transcript.pyannote[170].start |
539.37284375 |
| transcript.pyannote[170].end |
544.67159375 |
| transcript.pyannote[171].speaker |
SPEAKER_00 |
| transcript.pyannote[171].start |
539.52471875 |
| transcript.pyannote[171].end |
540.95909375 |
| transcript.pyannote[172].speaker |
SPEAKER_00 |
| transcript.pyannote[172].start |
542.68034375 |
| transcript.pyannote[172].end |
543.11909375 |
| transcript.pyannote[173].speaker |
SPEAKER_00 |
| transcript.pyannote[173].start |
544.45221875 |
| transcript.pyannote[173].end |
546.44346875 |
| transcript.pyannote[174].speaker |
SPEAKER_00 |
| transcript.pyannote[174].start |
546.73034375 |
| transcript.pyannote[174].end |
555.50534375 |
| transcript.pyannote[175].speaker |
SPEAKER_00 |
| transcript.pyannote[175].start |
555.94409375 |
| transcript.pyannote[175].end |
556.83846875 |
| transcript.pyannote[176].speaker |
SPEAKER_00 |
| transcript.pyannote[176].start |
557.53034375 |
| transcript.pyannote[176].end |
560.33159375 |
| transcript.pyannote[177].speaker |
SPEAKER_01 |
| transcript.pyannote[177].start |
558.61034375 |
| transcript.pyannote[177].end |
558.79596875 |
| transcript.pyannote[178].speaker |
SPEAKER_00 |
| transcript.pyannote[178].start |
560.55096875 |
| transcript.pyannote[178].end |
566.23784375 |
| transcript.pyannote[179].speaker |
SPEAKER_01 |
| transcript.pyannote[179].start |
566.06909375 |
| transcript.pyannote[179].end |
566.49096875 |
| transcript.pyannote[180].speaker |
SPEAKER_01 |
| transcript.pyannote[180].start |
566.91284375 |
| transcript.pyannote[180].end |
581.59409375 |
| transcript.pyannote[181].speaker |
SPEAKER_00 |
| transcript.pyannote[181].start |
574.72596875 |
| transcript.pyannote[181].end |
575.41784375 |
| transcript.pyannote[182].speaker |
SPEAKER_00 |
| transcript.pyannote[182].start |
576.36284375 |
| transcript.pyannote[182].end |
577.13909375 |
| transcript.pyannote[183].speaker |
SPEAKER_00 |
| transcript.pyannote[183].start |
581.59409375 |
| transcript.pyannote[183].end |
595.22909375 |
| transcript.pyannote[184].speaker |
SPEAKER_01 |
| transcript.pyannote[184].start |
584.14221875 |
| transcript.pyannote[184].end |
584.34471875 |
| transcript.pyannote[185].speaker |
SPEAKER_01 |
| transcript.pyannote[185].start |
589.23846875 |
| transcript.pyannote[185].end |
589.30596875 |
| transcript.pyannote[186].speaker |
SPEAKER_00 |
| transcript.pyannote[186].start |
595.83659375 |
| transcript.pyannote[186].end |
615.39471875 |
| transcript.pyannote[187].speaker |
SPEAKER_01 |
| transcript.pyannote[187].start |
601.59096875 |
| transcript.pyannote[187].end |
601.96221875 |
| transcript.pyannote[188].speaker |
SPEAKER_01 |
| transcript.pyannote[188].start |
602.26596875 |
| transcript.pyannote[188].end |
602.70471875 |
| transcript.pyannote[189].speaker |
SPEAKER_01 |
| transcript.pyannote[189].start |
604.64534375 |
| transcript.pyannote[189].end |
604.69596875 |
| transcript.pyannote[190].speaker |
SPEAKER_01 |
| transcript.pyannote[190].start |
604.78034375 |
| transcript.pyannote[190].end |
604.94909375 |
| transcript.pyannote[191].speaker |
SPEAKER_00 |
| transcript.pyannote[191].start |
616.10346875 |
| transcript.pyannote[191].end |
633.02909375 |
| transcript.pyannote[192].speaker |
SPEAKER_01 |
| transcript.pyannote[192].start |
624.22034375 |
| transcript.pyannote[192].end |
624.57471875 |
| transcript.pyannote[193].speaker |
SPEAKER_01 |
| transcript.pyannote[193].start |
629.06346875 |
| transcript.pyannote[193].end |
629.41784375 |
| transcript.pyannote[194].speaker |
SPEAKER_01 |
| transcript.pyannote[194].start |
633.38346875 |
| transcript.pyannote[194].end |
635.30721875 |
| transcript.whisperx[0].start |
0.089 |
| transcript.whisperx[0].end |
4.492 |
| transcript.whisperx[0].text |
請鄭一鋒委員請做詢問好 謝謝主席我想要請工部長我們再請工部長 |
| transcript.whisperx[1].start |
27.244 |
| transcript.whisperx[1].end |
50.776 |
| transcript.whisperx[1].text |
謝偉銘好部長我想請教一下就是現在大家還是最關注的就是關稅的問題那到底美國關稅會不會有可能從28%降到15%你有沒有信心我們持續的努力當中方向上還是你被壽命不可以講你不可以爆點 |
| transcript.whisperx[2].start |
52.239 |
| transcript.whisperx[2].end |
69.21 |
| transcript.whisperx[2].text |
是不是 你不會抱院長的梗還是抱總統的梗不是 因為這個是我們努力的目標啦15%是你努力的目標是不是是整個這個談判團隊本來就努力的目標嘛那對美的投資是3000億還是4000億 |
| transcript.whisperx[3].start |
73.411 |
| transcript.whisperx[3].end |
95.479 |
| transcript.whisperx[3].text |
這個我就沒有辦法知道是嗎政府部門公部門因為這個因為投資的部分還是由民間對主要是民間為主台積電相關的台積電是其中之一對還有生態系啊是不是還有那個EMS啊AI Server的一些廠商啊 |
| transcript.whisperx[4].start |
96.392 |
| transcript.whisperx[4].end |
110.359 |
| transcript.whisperx[4].text |
所以還有EMS AI Server的廠商都會去是不是對 他們有這樣的表達他們原來就在墨西哥那所以台灣廠商赴美投資有可能就是會超過三天一樓 |
| transcript.whisperx[5].start |
112.685 |
| transcript.whisperx[5].end |
126.723 |
| transcript.whisperx[5].text |
這個就要看廠商的盤點了拜託 你們早就在統計了經濟部一定都在統計啦是 但是這個還是個別廠商還是由個別廠商來宣布比較妥當 |
| transcript.whisperx[6].start |
127.731 |
| transcript.whisperx[6].end |
156.22 |
| transcript.whisperx[6].text |
那川普說台積電的你不用管那你台積電以外的相關的工業那麼多你進一步管不到嗎是不是所以那未來我們是支持他們的未來我是說未來那整體我們對美投資就是以台積電為主的這樣子的相關策略到底是決定在台灣還是決定在美國 |
| transcript.whisperx[7].start |
157.52 |
| transcript.whisperx[7].end |
177.532 |
| transcript.whisperx[7].text |
决定在台积电是不是决定在台湾台积电对以台湾为主是不是当然了立足台湾布局全球对是以台积电为主是不是会不会就是因为大家在担心的就是台积电会不会变成美积电不会是不是绝对不会 |
| transcript.whisperx[8].start |
178.492 |
| transcript.whisperx[8].end |
204.817 |
| transcript.whisperx[8].text |
你要做出什么样的做法你有什么样的做法让它不会变成美积电跟委员报告台积电事实上最多的产能最先进的技术最占钱的厂全部都在台湾所以它在台湾会持续的投资而且台积电的董事长魏哲嘉先生他也不断的说在台湾的投资的进程都没有改变比如说它在 |
| transcript.whisperx[9].start |
206.738 |
| transcript.whisperx[9].end |
234.477 |
| transcript.whisperx[9].text |
高雄的部分台中的部分这个已经宣布的部分这个东西你已经说了就是说台湾既有的以及就是供应全球的还有我们N-1带的嘛这个东西对不对但是我们有个问题是去年的数字看起来我们台人赴美去工作就高达了12.8万人 |
| transcript.whisperx[10].start |
235.592 |
| transcript.whisperx[10].end |
252.061 |
| transcript.whisperx[10].text |
那代表了就是是歷史性高喔那代表了整個就是半導體的相關的供應鏈鳳梅的確造成了我們人才外移的這樣一個現象你怎麼樣子減緩 |
| transcript.whisperx[11].start |
253.853 |
| transcript.whisperx[11].end |
268.6 |
| transcript.whisperx[11].text |
報委員據我了解就是說昨天國發會主委他說他說他的朋友也常常就是在台積電工作他們都不想去美國啊那可是問題是如果整個供應鏈 |
| transcript.whisperx[12].start |
269.801 |
| transcript.whisperx[12].end |
296.339 |
| transcript.whisperx[12].text |
就是說都往美國去的時候那我們台灣的人才怎麼留在本地然後我們又希望吸引AI的相關的業者廠商進台灣來那要把整個AI未來的供應鏈都放在台灣能夠讓它在台灣落腳那在這樣子的情況下如果我們的人才一直外移那怎麼樣子 |
| transcript.whisperx[13].start |
297.58 |
| transcript.whisperx[13].end |
324.395 |
| transcript.whisperx[13].text |
能夠確保我們台灣未來在AI的發展上有相關的競爭力呢報告委員通常人才做全球布局它是循環性的先前的幹部比如說他建廠的時候他一定把他會蓋廠的這個這個VP也好或是什麼先派去等到他想蓋好以後他會調回來的或是先前幹部他會先在這邊做處理處理完以後他會回來 |
| transcript.whisperx[14].start |
325.636 |
| transcript.whisperx[14].end |
352.264 |
| transcript.whisperx[14].text |
所以說他人才會一直循環的不會一直待在那邊所以你認為12.8萬是高峰會不會再更高這個數據我可能要再了解一下去年12月的12.8萬是不是高峰我可能要再了解一下未來會不會往下降因為我不了解這12萬到底他的內涵是怎麼樣我可能要再了解一下才能跟您報告 |
| transcript.whisperx[15].start |
353.416 |
| transcript.whisperx[15].end |
373.104 |
| transcript.whisperx[15].text |
所以你也不確定可是我們必須要解決的就是我們的人才外流的這個情況嗎但是我們現在為了招攬國外人才是非常非常的積極的所以有很多包括剛才有很多的外商來這裡設立研發中心我們也期待說他把 |
| transcript.whisperx[16].start |
374.384 |
| transcript.whisperx[16].end |
398.613 |
| transcript.whisperx[16].text |
有什麼外商來設立研發中心有啊 包括NVIDIA AMD啊這個重要的廠商都是啊還有微軟啊 Google啊美光啊這些都是啊就是它會帶動就是他們會有他們會有部分的是從外國來的嘛可是他們其實還是期待我們台灣能夠協助他們就是高階的人才啊 |
| transcript.whisperx[17].start |
399.073 |
| transcript.whisperx[17].end |
414.25 |
| transcript.whisperx[17].text |
他只有部分啦是啊是啊我們去美國投資也是要應用當地的人才啊對啊 也是希望啊所以這個有幾樣的道理啊所以台積電的就是說在美社廠的會讓美國的台積電的人才來台灣受訓是不是 |
| transcript.whisperx[18].start |
415.849 |
| transcript.whisperx[18].end |
438.603 |
| transcript.whisperx[18].text |
有一部分好像會是這樣子是不是來台灣受訓會不會還有昨天我們去車撤中心那看到了就是一些車用電子的部分還有就是汽車零組件的那在這一次的美國關稅當中其實汽車零組件受創的也非常嚴重那未來 |
| transcript.whisperx[19].start |
439.884 |
| transcript.whisperx[19].end |
462.615 |
| transcript.whisperx[19].text |
我們怎麼樣子協助這些汽車零組件能夠擴大就是說海外的市場那當然除了美國以外其他地區以我們半導體就是ICT相關的這樣子的一個領先的技術有沒有辦法協助我們國內的廠商搶到國際的訂單 有沒有 |
| transcript.whisperx[20].start |
466.713 |
| transcript.whisperx[20].end |
485.69 |
| transcript.whisperx[20].text |
報告委員我們的汽車零組件主要是aftermarket就是說等於是維修換零件那是我們非常強這個模式跟其他的競爭對手比較不一樣像韓國跟日本他們主要的零組件區域那邊工藝是要組裝成乘車的他不是 |
| transcript.whisperx[21].start |
486.27 |
| transcript.whisperx[21].end |
511.393 |
| transcript.whisperx[21].text |
不是经营这个aftermarket的那我们是所以市场上是有一点点区隔的但是免不了因为你关税提升还是会受到伤害所以我们尽量帮可能可以脱销市场或是贷款上可以利息的减免或者是他用AI的技术来提升他的这个研发也好或者是转型也好这个我们也都会来支持那自驾车的部分呢自驾车的部分呢 |
| transcript.whisperx[22].start |
512.779 |
| transcript.whisperx[22].end |
524.127 |
| transcript.whisperx[22].text |
自駕車你說無人自駕車無人自駕車我們現在還在實行那無人自駕的汽車零件呢示範當中對美的部分我們有辦法嗎 |
| transcript.whisperx[23].start |
525.331 |
| transcript.whisperx[23].end |
544.331 |
| transcript.whisperx[23].text |
我们现在是有导入部分的零组件是在美国的就是它在次系统里面的零组件而已我们可能现在次系统的部分可能还是在做示范性实验像ASDA相关的我们有办法打进去吗 |
| transcript.whisperx[24].start |
544.531 |
| transcript.whisperx[24].end |
556.622 |
| transcript.whisperx[24].text |
我們現在當然希望就是透過這個經濟部兩個署他們的這個計畫不管是業界科專或法蘭科專就希望把這個次系統的部分把它 |
| transcript.whisperx[25].start |
557.571 |
| transcript.whisperx[25].end |
577.437 |
| transcript.whisperx[25].text |
把它做起來了你才有辦法去出口到別的國家去把它模組以後出口到別的國家去是比較好的那上一次你說到了稀土是不會影響但是其實稀土還是有可能影響到我們的對不對我們半導體還有相關的無人機的相關的發展嗎 |
| transcript.whisperx[26].start |
581.658 |
| transcript.whisperx[26].end |
601.319 |
| transcript.whisperx[26].text |
会不会会间接的影响会尤其是无人机因为它用的这个吸毒比较是泳池性的相关嘛那导致制造业的部分因为半导体的部分导致它现在这一次禁止的部分是没有半导体制成那个部分需要的是是啊 |
| transcript.whisperx[27].start |
601.579 |
| transcript.whisperx[27].end |
614.307 |
| transcript.whisperx[27].text |
跟蓝这个稀土它是没有进的是比较好但是那个部分所以我才说我们自己还是要有警觉自己透过回收的方式也好或者是我们开始做精炼或者是 |
| transcript.whisperx[28].start |
616.452 |
| transcript.whisperx[28].end |
634.838 |
| transcript.whisperx[28].text |
有一个保存量我们自己供应的保存量希望在2030年可以满足我们自己的三分之一上的一些需求我们还是会做那国际供应链的部分因为我们本来是国际供应链的需求者所以我们也会配合国际供应链的相关的一些调整的做法好谢谢 |