IVOD_ID |
163414 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/163414 |
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 |
2025-08-07T11:26:01+08:00 |
結束時間 |
2025-08-07T11:38:25+08:00 |
影片長度 |
00:12:24 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ce960b47cc6398b9df5fb249f7d7490c70dc6911ab88c3aa0394dc758d122e3143052525fe23673a5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
賴士葆 |
委員發言時間 |
11:26:01 - 11:38:25 |
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 |
6.64596875 |
transcript.pyannote[0].end |
8.19846875 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
8.53596875 |
transcript.pyannote[1].end |
11.20221875 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
11.60721875 |
transcript.pyannote[2].end |
12.11346875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
18.34034375 |
transcript.pyannote[3].end |
18.77909375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
18.77909375 |
transcript.pyannote[4].end |
18.96471875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
18.96471875 |
transcript.pyannote[5].end |
19.16721875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
19.16721875 |
transcript.pyannote[6].end |
19.33596875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
19.33596875 |
transcript.pyannote[7].end |
19.92659375 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
20.26409375 |
transcript.pyannote[8].end |
23.40284375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
24.11159375 |
transcript.pyannote[9].end |
28.33034375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
28.70159375 |
transcript.pyannote[10].end |
30.96284375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
31.70534375 |
transcript.pyannote[11].end |
33.32534375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
33.84846875 |
transcript.pyannote[12].end |
37.59471875 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
38.26971875 |
transcript.pyannote[13].end |
40.39596875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
41.08784375 |
transcript.pyannote[14].end |
46.87596875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
47.65221875 |
transcript.pyannote[15].end |
52.20846875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
53.45721875 |
transcript.pyannote[16].end |
61.30409375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
61.86096875 |
transcript.pyannote[17].end |
62.75534375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
63.70034375 |
transcript.pyannote[18].end |
65.77596875 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
66.24846875 |
transcript.pyannote[19].end |
76.77846875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
77.33534375 |
transcript.pyannote[20].end |
83.17409375 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
83.41034375 |
transcript.pyannote[21].end |
86.02596875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
86.02596875 |
transcript.pyannote[22].end |
86.97096875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
86.97096875 |
transcript.pyannote[23].end |
86.98784375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
86.98784375 |
transcript.pyannote[24].end |
87.05534375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
87.05534375 |
transcript.pyannote[25].end |
87.07221875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
87.07221875 |
transcript.pyannote[26].end |
87.67971875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
88.37159375 |
transcript.pyannote[27].end |
97.97346875 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
92.86034375 |
transcript.pyannote[28].end |
95.59409375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
97.18034375 |
transcript.pyannote[29].end |
97.90596875 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
97.97346875 |
transcript.pyannote[30].end |
105.68534375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
98.15909375 |
transcript.pyannote[31].end |
98.31096875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
98.36159375 |
transcript.pyannote[32].end |
98.53034375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
99.49221875 |
transcript.pyannote[33].end |
101.34846875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
106.10721875 |
transcript.pyannote[34].end |
108.89159375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
109.22909375 |
transcript.pyannote[35].end |
109.33034375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
109.33034375 |
transcript.pyannote[36].end |
109.80284375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
110.39346875 |
transcript.pyannote[37].end |
110.95034375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
111.72659375 |
transcript.pyannote[38].end |
111.94596875 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
112.09784375 |
transcript.pyannote[39].end |
115.30409375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
113.27909375 |
transcript.pyannote[40].end |
114.57846875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
115.84409375 |
transcript.pyannote[41].end |
118.03784375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
118.69596875 |
transcript.pyannote[42].end |
133.03971875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
128.26409375 |
transcript.pyannote[43].end |
128.85471875 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
129.07409375 |
transcript.pyannote[44].end |
129.39471875 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
130.69409375 |
transcript.pyannote[45].end |
131.01471875 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
131.80784375 |
transcript.pyannote[46].end |
132.07784375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
132.85409375 |
transcript.pyannote[47].end |
133.19159375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
133.19159375 |
transcript.pyannote[48].end |
133.47846875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
133.98471875 |
transcript.pyannote[49].end |
134.00159375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
134.00159375 |
transcript.pyannote[50].end |
135.73971875 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
136.63409375 |
transcript.pyannote[51].end |
141.78096875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
142.10159375 |
transcript.pyannote[52].end |
145.00409375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
145.67909375 |
transcript.pyannote[53].end |
150.64034375 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
152.15909375 |
transcript.pyannote[54].end |
152.76659375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
154.23471875 |
transcript.pyannote[55].end |
155.70284375 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
156.83346875 |
transcript.pyannote[56].end |
157.33971875 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
157.76159375 |
transcript.pyannote[57].end |
160.57971875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
160.88346875 |
transcript.pyannote[58].end |
162.03096875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
162.55409375 |
transcript.pyannote[59].end |
164.95034375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
165.43971875 |
transcript.pyannote[60].end |
166.63784375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
167.39721875 |
transcript.pyannote[61].end |
169.27034375 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
169.50659375 |
transcript.pyannote[62].end |
171.58221875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
172.20659375 |
transcript.pyannote[63].end |
175.02471875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
175.66596875 |
transcript.pyannote[64].end |
181.35284375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
180.13784375 |
transcript.pyannote[65].end |
190.21221875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
181.82534375 |
transcript.pyannote[66].end |
182.48346875 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
185.36909375 |
transcript.pyannote[67].end |
185.82471875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
189.19971875 |
transcript.pyannote[68].end |
189.77346875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
190.51596875 |
transcript.pyannote[69].end |
194.71784375 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
190.75221875 |
transcript.pyannote[70].end |
191.37659375 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
192.23721875 |
transcript.pyannote[71].end |
196.69221875 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
195.07221875 |
transcript.pyannote[72].end |
195.62909375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
197.38409375 |
transcript.pyannote[73].end |
202.83471875 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
203.39159375 |
transcript.pyannote[74].end |
206.27721875 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
207.12096875 |
transcript.pyannote[75].end |
207.88034375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
208.45409375 |
transcript.pyannote[76].end |
210.74909375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
211.64346875 |
transcript.pyannote[77].end |
212.79096875 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
212.95971875 |
transcript.pyannote[78].end |
216.03096875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
216.03096875 |
transcript.pyannote[79].end |
216.52034375 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
216.52034375 |
transcript.pyannote[80].end |
216.55409375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
216.55409375 |
transcript.pyannote[81].end |
242.96346875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
216.87471875 |
transcript.pyannote[82].end |
217.60034375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
218.37659375 |
transcript.pyannote[83].end |
219.03471875 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
225.64971875 |
transcript.pyannote[84].end |
230.56034375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
238.82909375 |
transcript.pyannote[85].end |
238.84596875 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
238.86284375 |
transcript.pyannote[86].end |
239.60534375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
242.96346875 |
transcript.pyannote[87].end |
245.07284375 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
245.59596875 |
transcript.pyannote[88].end |
249.56159375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
249.22409375 |
transcript.pyannote[89].end |
261.01971875 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
249.86534375 |
transcript.pyannote[90].end |
250.87784375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
259.23096875 |
transcript.pyannote[91].end |
259.75409375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
260.34471875 |
transcript.pyannote[92].end |
262.55534375 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
262.89284375 |
transcript.pyannote[93].end |
269.42346875 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
270.35159375 |
transcript.pyannote[94].end |
273.33846875 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
273.65909375 |
transcript.pyannote[95].end |
274.33409375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
275.21159375 |
transcript.pyannote[96].end |
282.78846875 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
283.10909375 |
transcript.pyannote[97].end |
293.65596875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
288.54284375 |
transcript.pyannote[98].end |
288.62721875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
290.12909375 |
transcript.pyannote[99].end |
290.68596875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
290.88846875 |
transcript.pyannote[100].end |
305.19846875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
296.57534375 |
transcript.pyannote[101].end |
297.95909375 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
304.42221875 |
transcript.pyannote[102].end |
305.08034375 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
305.19846875 |
transcript.pyannote[103].end |
305.29971875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
305.29971875 |
transcript.pyannote[104].end |
306.02534375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
306.12659375 |
transcript.pyannote[105].end |
321.92159375 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
308.28659375 |
transcript.pyannote[106].end |
308.32034375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
310.21034375 |
transcript.pyannote[107].end |
310.71659375 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
313.36596875 |
transcript.pyannote[108].end |
317.09534375 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
317.46659375 |
transcript.pyannote[109].end |
319.01909375 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
320.18346875 |
transcript.pyannote[110].end |
326.44409375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
326.79846875 |
transcript.pyannote[111].end |
328.01346875 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
328.55346875 |
transcript.pyannote[112].end |
330.20721875 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
330.78096875 |
transcript.pyannote[113].end |
331.97909375 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
332.23221875 |
transcript.pyannote[114].end |
333.49784375 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
333.80159375 |
transcript.pyannote[115].end |
334.66221875 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
335.10096875 |
transcript.pyannote[116].end |
336.18096875 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
336.28221875 |
transcript.pyannote[117].end |
342.03659375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
342.27284375 |
transcript.pyannote[118].end |
349.73159375 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
350.06909375 |
transcript.pyannote[119].end |
351.52034375 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
351.65534375 |
transcript.pyannote[120].end |
354.27096875 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
354.47346875 |
transcript.pyannote[121].end |
362.43846875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
361.88159375 |
transcript.pyannote[122].end |
365.67846875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
362.96159375 |
transcript.pyannote[123].end |
363.40034375 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
363.43409375 |
transcript.pyannote[124].end |
363.45096875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
363.46784375 |
transcript.pyannote[125].end |
370.89284375 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
371.19659375 |
transcript.pyannote[126].end |
372.32721875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
373.01909375 |
transcript.pyannote[127].end |
375.01034375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
375.55034375 |
transcript.pyannote[128].end |
381.13596875 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
376.27596875 |
transcript.pyannote[129].end |
376.30971875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
376.37721875 |
transcript.pyannote[130].end |
377.00159375 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
381.54096875 |
transcript.pyannote[131].end |
384.03846875 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
384.22409375 |
transcript.pyannote[132].end |
385.16909375 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
385.54034375 |
transcript.pyannote[133].end |
386.26596875 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
386.89034375 |
transcript.pyannote[134].end |
387.48096875 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
387.85221875 |
transcript.pyannote[135].end |
388.42596875 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
389.16846875 |
transcript.pyannote[136].end |
397.57221875 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
396.94784375 |
transcript.pyannote[137].end |
404.08596875 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
399.15846875 |
transcript.pyannote[138].end |
401.62221875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
402.87096875 |
transcript.pyannote[139].end |
403.14096875 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
404.11971875 |
transcript.pyannote[140].end |
408.33846875 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
404.18721875 |
transcript.pyannote[141].end |
404.57534375 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
405.92534375 |
transcript.pyannote[142].end |
408.25409375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
408.40596875 |
transcript.pyannote[143].end |
408.43971875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
408.43971875 |
transcript.pyannote[144].end |
408.45659375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
408.45659375 |
transcript.pyannote[145].end |
411.34221875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
408.47346875 |
transcript.pyannote[146].end |
409.90784375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
410.95409375 |
transcript.pyannote[147].end |
411.12284375 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
411.78096875 |
transcript.pyannote[148].end |
415.30784375 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
415.83096875 |
transcript.pyannote[149].end |
416.08409375 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
416.65784375 |
transcript.pyannote[150].end |
418.76721875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
419.08784375 |
transcript.pyannote[151].end |
424.23471875 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
424.43721875 |
transcript.pyannote[152].end |
425.11221875 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
425.78721875 |
transcript.pyannote[153].end |
427.96409375 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
428.68971875 |
transcript.pyannote[154].end |
429.82034375 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
430.00596875 |
transcript.pyannote[155].end |
431.32221875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
431.67659375 |
transcript.pyannote[156].end |
432.30096875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
433.07721875 |
transcript.pyannote[157].end |
434.46096875 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
435.05159375 |
transcript.pyannote[158].end |
436.82346875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
436.82346875 |
transcript.pyannote[159].end |
436.97534375 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
436.97534375 |
transcript.pyannote[160].end |
437.02596875 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
437.02596875 |
transcript.pyannote[161].end |
456.73596875 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
439.25346875 |
transcript.pyannote[162].end |
439.92846875 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
442.47659375 |
transcript.pyannote[163].end |
443.89409375 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
445.83471875 |
transcript.pyannote[164].end |
447.37034375 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
447.58971875 |
transcript.pyannote[165].end |
450.01971875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
457.19159375 |
transcript.pyannote[166].end |
470.48909375 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
458.06909375 |
transcript.pyannote[167].end |
458.82846875 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
460.43159375 |
transcript.pyannote[168].end |
461.96721875 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
464.71784375 |
transcript.pyannote[169].end |
466.81034375 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
471.01221875 |
transcript.pyannote[170].end |
475.88909375 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
473.30721875 |
transcript.pyannote[171].end |
475.41659375 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
475.50096875 |
transcript.pyannote[172].end |
476.80034375 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
477.40784375 |
transcript.pyannote[173].end |
478.28534375 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
478.69034375 |
transcript.pyannote[174].end |
480.42846875 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
480.68159375 |
transcript.pyannote[175].end |
481.94721875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
482.53784375 |
transcript.pyannote[176].end |
488.00534375 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
484.78221875 |
transcript.pyannote[177].end |
485.60909375 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
485.98034375 |
transcript.pyannote[178].end |
489.57471875 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
489.96284375 |
transcript.pyannote[179].end |
493.91159375 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
494.40096875 |
transcript.pyannote[180].end |
501.43784375 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
496.66221875 |
transcript.pyannote[181].end |
497.75909375 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
501.77534375 |
transcript.pyannote[182].end |
503.59784375 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
501.82596875 |
transcript.pyannote[183].end |
502.77096875 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
502.99034375 |
transcript.pyannote[184].end |
507.05721875 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
503.69909375 |
transcript.pyannote[185].end |
503.96909375 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
507.37784375 |
transcript.pyannote[186].end |
509.20034375 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
509.87534375 |
transcript.pyannote[187].end |
511.03971875 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
511.30971875 |
transcript.pyannote[188].end |
514.90409375 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
515.96721875 |
transcript.pyannote[189].end |
519.47721875 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
520.35471875 |
transcript.pyannote[190].end |
521.36721875 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
521.97471875 |
transcript.pyannote[191].end |
522.66659375 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
523.35846875 |
transcript.pyannote[192].end |
523.79721875 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
523.94909375 |
transcript.pyannote[193].end |
524.94471875 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
525.16409375 |
transcript.pyannote[194].end |
527.44221875 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
527.47596875 |
transcript.pyannote[195].end |
528.92721875 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
529.53471875 |
transcript.pyannote[196].end |
532.25159375 |
transcript.pyannote[197].speaker |
SPEAKER_00 |
transcript.pyannote[197].start |
532.25159375 |
transcript.pyannote[197].end |
532.40346875 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
532.40346875 |
transcript.pyannote[198].end |
533.02784375 |
transcript.pyannote[199].speaker |
SPEAKER_00 |
transcript.pyannote[199].start |
533.02784375 |
transcript.pyannote[199].end |
536.50409375 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
534.49596875 |
transcript.pyannote[200].end |
536.40284375 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
536.50409375 |
transcript.pyannote[201].end |
536.52096875 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
536.52096875 |
transcript.pyannote[202].end |
546.59534375 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
536.68971875 |
transcript.pyannote[203].end |
538.34346875 |
transcript.pyannote[204].speaker |
SPEAKER_00 |
transcript.pyannote[204].start |
547.40534375 |
transcript.pyannote[204].end |
549.78471875 |
transcript.pyannote[205].speaker |
SPEAKER_00 |
transcript.pyannote[205].start |
550.34159375 |
transcript.pyannote[205].end |
552.68721875 |
transcript.pyannote[206].speaker |
SPEAKER_00 |
transcript.pyannote[206].start |
552.85596875 |
transcript.pyannote[206].end |
565.24221875 |
transcript.pyannote[207].speaker |
SPEAKER_01 |
transcript.pyannote[207].start |
556.12971875 |
transcript.pyannote[207].end |
556.55159375 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
565.64721875 |
transcript.pyannote[208].end |
576.05909375 |
transcript.pyannote[209].speaker |
SPEAKER_01 |
transcript.pyannote[209].start |
572.76846875 |
transcript.pyannote[209].end |
575.14784375 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
576.66659375 |
transcript.pyannote[210].end |
589.52534375 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
589.27221875 |
transcript.pyannote[211].end |
594.03096875 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
594.26721875 |
transcript.pyannote[212].end |
598.30034375 |
transcript.pyannote[213].speaker |
SPEAKER_01 |
transcript.pyannote[213].start |
598.84034375 |
transcript.pyannote[213].end |
602.21534375 |
transcript.pyannote[214].speaker |
SPEAKER_01 |
transcript.pyannote[214].start |
602.45159375 |
transcript.pyannote[214].end |
603.48096875 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
604.69596875 |
transcript.pyannote[215].end |
606.28221875 |
transcript.pyannote[216].speaker |
SPEAKER_01 |
transcript.pyannote[216].start |
606.82221875 |
transcript.pyannote[216].end |
607.93596875 |
transcript.pyannote[217].speaker |
SPEAKER_01 |
transcript.pyannote[217].start |
608.13846875 |
transcript.pyannote[217].end |
610.55159375 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
611.10846875 |
transcript.pyannote[218].end |
614.80409375 |
transcript.pyannote[219].speaker |
SPEAKER_01 |
transcript.pyannote[219].start |
615.56346875 |
transcript.pyannote[219].end |
620.87909375 |
transcript.pyannote[220].speaker |
SPEAKER_01 |
transcript.pyannote[220].start |
621.25034375 |
transcript.pyannote[220].end |
622.39784375 |
transcript.pyannote[221].speaker |
SPEAKER_01 |
transcript.pyannote[221].start |
623.35971875 |
transcript.pyannote[221].end |
625.36784375 |
transcript.pyannote[222].speaker |
SPEAKER_01 |
transcript.pyannote[222].start |
626.38034375 |
transcript.pyannote[222].end |
626.93721875 |
transcript.pyannote[223].speaker |
SPEAKER_01 |
transcript.pyannote[223].start |
627.19034375 |
transcript.pyannote[223].end |
627.44346875 |
transcript.pyannote[224].speaker |
SPEAKER_01 |
transcript.pyannote[224].start |
628.00034375 |
transcript.pyannote[224].end |
629.85659375 |
transcript.pyannote[225].speaker |
SPEAKER_01 |
transcript.pyannote[225].start |
630.39659375 |
transcript.pyannote[225].end |
631.24034375 |
transcript.pyannote[226].speaker |
SPEAKER_01 |
transcript.pyannote[226].start |
631.69596875 |
transcript.pyannote[226].end |
633.99096875 |
transcript.pyannote[227].speaker |
SPEAKER_01 |
transcript.pyannote[227].start |
635.23971875 |
transcript.pyannote[227].end |
636.08346875 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
636.91034375 |
transcript.pyannote[228].end |
638.73284375 |
transcript.pyannote[229].speaker |
SPEAKER_01 |
transcript.pyannote[229].start |
639.12096875 |
transcript.pyannote[229].end |
640.57221875 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
641.39909375 |
transcript.pyannote[230].end |
642.37784375 |
transcript.pyannote[231].speaker |
SPEAKER_01 |
transcript.pyannote[231].start |
642.78284375 |
transcript.pyannote[231].end |
644.03159375 |
transcript.pyannote[232].speaker |
SPEAKER_01 |
transcript.pyannote[232].start |
644.70659375 |
transcript.pyannote[232].end |
646.14096875 |
transcript.pyannote[233].speaker |
SPEAKER_01 |
transcript.pyannote[233].start |
647.42346875 |
transcript.pyannote[233].end |
650.37659375 |
transcript.pyannote[234].speaker |
SPEAKER_01 |
transcript.pyannote[234].start |
651.03471875 |
transcript.pyannote[234].end |
652.95846875 |
transcript.pyannote[235].speaker |
SPEAKER_01 |
transcript.pyannote[235].start |
653.27909375 |
transcript.pyannote[235].end |
653.75159375 |
transcript.pyannote[236].speaker |
SPEAKER_00 |
transcript.pyannote[236].start |
654.59534375 |
transcript.pyannote[236].end |
657.44721875 |
transcript.pyannote[237].speaker |
SPEAKER_01 |
transcript.pyannote[237].start |
657.29534375 |
transcript.pyannote[237].end |
661.49721875 |
transcript.pyannote[238].speaker |
SPEAKER_01 |
transcript.pyannote[238].start |
662.07096875 |
transcript.pyannote[238].end |
663.28596875 |
transcript.pyannote[239].speaker |
SPEAKER_01 |
transcript.pyannote[239].start |
664.11284375 |
transcript.pyannote[239].end |
665.86784375 |
transcript.pyannote[240].speaker |
SPEAKER_00 |
transcript.pyannote[240].start |
665.86784375 |
transcript.pyannote[240].end |
665.88471875 |
transcript.pyannote[241].speaker |
SPEAKER_01 |
transcript.pyannote[241].start |
665.88471875 |
transcript.pyannote[241].end |
665.93534375 |
transcript.pyannote[242].speaker |
SPEAKER_01 |
transcript.pyannote[242].start |
666.01971875 |
transcript.pyannote[242].end |
666.03659375 |
transcript.pyannote[243].speaker |
SPEAKER_00 |
transcript.pyannote[243].start |
666.03659375 |
transcript.pyannote[243].end |
666.07034375 |
transcript.pyannote[244].speaker |
SPEAKER_01 |
transcript.pyannote[244].start |
666.07034375 |
transcript.pyannote[244].end |
666.08721875 |
transcript.pyannote[245].speaker |
SPEAKER_00 |
transcript.pyannote[245].start |
666.08721875 |
transcript.pyannote[245].end |
666.82971875 |
transcript.pyannote[246].speaker |
SPEAKER_01 |
transcript.pyannote[246].start |
666.82971875 |
transcript.pyannote[246].end |
667.42034375 |
transcript.pyannote[247].speaker |
SPEAKER_00 |
transcript.pyannote[247].start |
666.86346875 |
transcript.pyannote[247].end |
670.74471875 |
transcript.pyannote[248].speaker |
SPEAKER_00 |
transcript.pyannote[248].start |
671.26784375 |
transcript.pyannote[248].end |
671.52096875 |
transcript.pyannote[249].speaker |
SPEAKER_01 |
transcript.pyannote[249].start |
672.38159375 |
transcript.pyannote[249].end |
672.46596875 |
transcript.pyannote[250].speaker |
SPEAKER_00 |
transcript.pyannote[250].start |
672.46596875 |
transcript.pyannote[250].end |
672.97221875 |
transcript.pyannote[251].speaker |
SPEAKER_01 |
transcript.pyannote[251].start |
672.97221875 |
transcript.pyannote[251].end |
673.56284375 |
transcript.pyannote[252].speaker |
SPEAKER_00 |
transcript.pyannote[252].start |
672.98909375 |
transcript.pyannote[252].end |
673.20846875 |
transcript.pyannote[253].speaker |
SPEAKER_00 |
transcript.pyannote[253].start |
673.56284375 |
transcript.pyannote[253].end |
673.64721875 |
transcript.pyannote[254].speaker |
SPEAKER_01 |
transcript.pyannote[254].start |
673.93409375 |
transcript.pyannote[254].end |
675.94221875 |
transcript.pyannote[255].speaker |
SPEAKER_01 |
transcript.pyannote[255].start |
677.02221875 |
transcript.pyannote[255].end |
677.86596875 |
transcript.pyannote[256].speaker |
SPEAKER_01 |
transcript.pyannote[256].start |
678.52409375 |
transcript.pyannote[256].end |
680.44784375 |
transcript.pyannote[257].speaker |
SPEAKER_01 |
transcript.pyannote[257].start |
680.86971875 |
transcript.pyannote[257].end |
682.65846875 |
transcript.pyannote[258].speaker |
SPEAKER_01 |
transcript.pyannote[258].start |
682.91159375 |
transcript.pyannote[258].end |
687.48471875 |
transcript.pyannote[259].speaker |
SPEAKER_00 |
transcript.pyannote[259].start |
685.25721875 |
transcript.pyannote[259].end |
691.87221875 |
transcript.pyannote[260].speaker |
SPEAKER_01 |
transcript.pyannote[260].start |
687.75471875 |
transcript.pyannote[260].end |
691.97346875 |
transcript.pyannote[261].speaker |
SPEAKER_01 |
transcript.pyannote[261].start |
692.32784375 |
transcript.pyannote[261].end |
692.86784375 |
transcript.pyannote[262].speaker |
SPEAKER_01 |
transcript.pyannote[262].start |
693.23909375 |
transcript.pyannote[262].end |
697.66034375 |
transcript.pyannote[263].speaker |
SPEAKER_01 |
transcript.pyannote[263].start |
698.14971875 |
transcript.pyannote[263].end |
698.85846875 |
transcript.pyannote[264].speaker |
SPEAKER_01 |
transcript.pyannote[264].start |
699.78659375 |
transcript.pyannote[264].end |
700.90034375 |
transcript.pyannote[265].speaker |
SPEAKER_01 |
transcript.pyannote[265].start |
701.33909375 |
transcript.pyannote[265].end |
702.04784375 |
transcript.pyannote[266].speaker |
SPEAKER_01 |
transcript.pyannote[266].start |
702.85784375 |
transcript.pyannote[266].end |
703.88721875 |
transcript.pyannote[267].speaker |
SPEAKER_01 |
transcript.pyannote[267].start |
704.51159375 |
transcript.pyannote[267].end |
705.37221875 |
transcript.pyannote[268].speaker |
SPEAKER_01 |
transcript.pyannote[268].start |
706.11471875 |
transcript.pyannote[268].end |
707.97096875 |
transcript.pyannote[269].speaker |
SPEAKER_01 |
transcript.pyannote[269].start |
708.15659375 |
transcript.pyannote[269].end |
709.03409375 |
transcript.pyannote[270].speaker |
SPEAKER_01 |
transcript.pyannote[270].start |
709.59096875 |
transcript.pyannote[270].end |
712.07159375 |
transcript.pyannote[271].speaker |
SPEAKER_01 |
transcript.pyannote[271].start |
712.37534375 |
transcript.pyannote[271].end |
713.15159375 |
transcript.pyannote[272].speaker |
SPEAKER_01 |
transcript.pyannote[272].start |
713.72534375 |
transcript.pyannote[272].end |
714.06284375 |
transcript.pyannote[273].speaker |
SPEAKER_01 |
transcript.pyannote[273].start |
714.16409375 |
transcript.pyannote[273].end |
715.93596875 |
transcript.pyannote[274].speaker |
SPEAKER_01 |
transcript.pyannote[274].start |
716.25659375 |
transcript.pyannote[274].end |
724.82909375 |
transcript.pyannote[275].speaker |
SPEAKER_01 |
transcript.pyannote[275].start |
725.48721875 |
transcript.pyannote[275].end |
729.35159375 |
transcript.pyannote[276].speaker |
SPEAKER_01 |
transcript.pyannote[276].start |
729.50346875 |
transcript.pyannote[276].end |
730.88721875 |
transcript.pyannote[277].speaker |
SPEAKER_01 |
transcript.pyannote[277].start |
731.05596875 |
transcript.pyannote[277].end |
735.03846875 |
transcript.pyannote[278].speaker |
SPEAKER_01 |
transcript.pyannote[278].start |
735.47721875 |
transcript.pyannote[278].end |
737.21534375 |
transcript.pyannote[279].speaker |
SPEAKER_00 |
transcript.pyannote[279].start |
737.70471875 |
transcript.pyannote[279].end |
742.80096875 |
transcript.pyannote[280].speaker |
SPEAKER_00 |
transcript.pyannote[280].start |
743.13846875 |
transcript.pyannote[280].end |
744.20159375 |
transcript.whisperx[0].start |
6.684 |
transcript.whisperx[0].end |
10.618 |
transcript.whisperx[0].text |
好 謝謝主席有請國務會的劉竹偉劉竹偉 |
transcript.whisperx[1].start |
18.999 |
transcript.whisperx[1].end |
45.354 |
transcript.whisperx[1].text |
主委你說這個川普總統說要對晶片課百分之百的關稅你說對台灣是大利多這就我覺得很奇怪課一百趴的關稅成本增加一百趴咧晶片廠跟他就一百趴對不對你說晶片股票漲不要忘了台積電漲了五十五塊 |
transcript.whisperx[2].start |
47.691 |
transcript.whisperx[2].end |
62.45 |
transcript.whisperx[2].text |
台積電漲一塊錢我們的加錢指數漲8.61所以基本上主要是台積電以及其他你剛剛提到中美金有在美國設廠的那些的工廠他們股票漲 |
transcript.whisperx[3].start |
63.772 |
transcript.whisperx[3].end |
72.699 |
transcript.whisperx[3].text |
其他的股票不漲啊 都跌啊你要仔細看一下啊怎麼會整個是大利多呢我怎麼知道大利多從何講起啊怎麼會一個大利多大利多是說它有在美國設廠當然是零關稅當然是叫大利多對台積電當然是大利多其他沒有設廠的咧請問你啊 你知不知道我們半導體總共有幾家你知道嗎 |
transcript.whisperx[4].start |
88.39 |
transcript.whisperx[4].end |
109.297 |
transcript.whisperx[4].text |
我講的是利多那利多主要是因為我們主要的產值在是有限的是在這些廠商就是有在美國設廠當然是利多嘛不是零關稅嘛別人是100%嘛當然是利多可是那些沒有去的廠商呢你告訴我現在有幾家的半導體廠商在國內你知道嗎國內現在半導體廠商有幾家半導體廠商的話 |
transcript.whisperx[5].start |
115.922 |
transcript.whisperx[5].end |
135.353 |
transcript.whisperx[5].text |
我沒有細數過了大概大概應該有10家以上吧不是啦全部半導體產業跟半導體有關係的跟半導體有關係的那就太多了Supply chain都在裡面啊就太多了三四百家啦就業人口多少你知道嗎 |
transcript.whisperx[6].start |
136.793 |
transcript.whisperx[6].end |
150.124 |
transcript.whisperx[6].text |
三十幾萬啦 三四十萬的就業人口啊2023年的資料半導體相關的產業 包括Supply Chain跟供應鏈加起來 307家就業人口31.7萬人主委啊 我是替你煩惱啊 |
transcript.whisperx[7].start |
158.296 |
transcript.whisperx[7].end |
160.017 |
transcript.whisperx[7].text |
這三四百家都可以去美國設廠嗎都有這個條件嗎他都像台積電這麼資本這麼雄厚我到處設廠每一家都可以嗎這些沒有去就一百趴勒 |
transcript.whisperx[8].start |
172.23 |
transcript.whisperx[8].end |
174.291 |
transcript.whisperx[8].text |
他賺了超過100%嗎?我賣2塊錢賺4塊錢賣5塊錢他厲害我有報告過我們有兩個方案一個是短期方案一個是中長期方案短期方案是應急的我們編列930億以上的金額來做這件事你別誤會這個主委我更關心的是什麼你聽我講完 |
transcript.whisperx[9].start |
197.463 |
transcript.whisperx[9].end |
223.488 |
transcript.whisperx[9].text |
就業人口三十幾萬因為這是2023年的資料現在應該是三十幾萬我最擔心是我替我們下一代擔心你知道嗎這個台積電機設廠馬上少掉幾萬人的這個工程師的就業機會美國去多少委員你這是一個錯誤的訊息台積電在國內的設廠更多所以台積電現在招募的員工一年超過八千 |
transcript.whisperx[10].start |
224.008 |
transcript.whisperx[10].end |
241.294 |
transcript.whisperx[10].text |
他並沒有讓工作消失你不要跟我計程車講我不要講台積電我講其他產業這100%不是只有對台灣增100%是對全世界每一個競爭對手都是付一樣的錢所以怎麼樣就跟計程車一起漲價一樣不是啊對我來講我管其他人我賺不到100%我現在去哪裡要加100%除非我去美國市場 |
transcript.whisperx[11].start |
245.695 |
transcript.whisperx[11].end |
269.288 |
transcript.whisperx[11].text |
我沒有去美國市場我就加一百趴我懂我啊我們在這裡啊現在主要是跟競爭者打道的我們現在正在評估像Global Bungie在美國有場等等我們去了解他我們現在正在了解他但他絕對對啊我關心的我再強調一遍我們下一代的優秀的工程師的就業機會因為他去美國才零趴啊 |
transcript.whisperx[12].start |
270.407 |
transcript.whisperx[12].end |
272.108 |
transcript.whisperx[12].text |
對不對 你100% 大都100% 我賺了100%那你還 怕是我買生 你去隨便講一家隨便講一家 要國內的廠商 他的活力100%以上你告訴我哪一家你告訴我哪一家 連台積電都沒有 |
transcript.whisperx[13].start |
286.198 |
transcript.whisperx[13].end |
311.918 |
transcript.whisperx[13].text |
台積電的活力毛利只有50幾%而已他還沒有100%啊你給他扣100%的關稅他活不下去啊我還是要講喔因為多數廠商還是以FoB為主你現在記不懂要講啊買方在付錢台積電當時希西威也跟我講過如果今天有關稅他會要他的客戶來負擔誰關稅都客戶付美國人付美國人付你可以去問希西威他自己講的我只是轉述這個話 |
transcript.whisperx[14].start |
313.319 |
transcript.whisperx[14].end |
314.92 |
transcript.whisperx[14].text |
台積電的毛利只有五成多五十幾趴很厲害了他也沒有一百趴他今天是因為在美國設廠 |
transcript.whisperx[15].start |
330.831 |
transcript.whisperx[15].end |
339.316 |
transcript.whisperx[15].text |
所以他後面料呢 大力多 很好 大家鼓掌他還在美國設廠 可是300多家相關的Supply Chain他沒有都要扣100%你不要忘了他剛剛有文提到的CHIP跟其他的Semi-conductor的相關的產業的產品當然 細項沒有出來 但是基本上要炒在蛋啦 |
transcript.whisperx[16].start |
354.625 |
transcript.whisperx[16].end |
359.57 |
transcript.whisperx[16].text |
沒有一個產業賺錢他100%的啦你說跟其他世界其他國家比大家也都沒有100%啦我活不下來啊 我活不下來啊 在這裡啊除非我在美國能夠轉移給別人報我付美國報我付嗎?川普報我付100%的關稅嗎? |
transcript.whisperx[17].start |
375.898 |
transcript.whisperx[17].end |
380.742 |
transcript.whisperx[17].text |
這個都要去寫 阿如果是美國的話 阿美國就沒意義阿川普就這麼費工川普弄了半天結果他來付100% 奇怪這個邏輯 主委阿 這個阿這個你不要張口來講就這樣 謊話連篇怎麼會說美國幫你付 哪裡有美國幫你付美國幫你付這個錢 奇怪我只是就我的專業分析喔 我來自產業我來自產業 我來自產業 |
transcript.whisperx[18].start |
404.358 |
transcript.whisperx[18].end |
411.184 |
transcript.whisperx[18].text |
我來自學界我跟廠商都有溝通過我跟廠商也有溝通過很多廠商都說我學生咧不用說這樣啦你講整包我跟你講主委就是論事我一直跟你強調你都不回答的問題我是說下去美國市場的沒有問題 |
transcript.whisperx[19].start |
430.077 |
transcript.whisperx[19].end |
456.485 |
transcript.whisperx[19].text |
他沒有人力去的呢?怎麼辦?100%水庫你剛剛跟我講說川普要付啊你川普在那邊課啊?我沒有講川普要付你說FOB啊?FOB齁?你剛剛講FOB啊?業界過去都會經過協商因為每一家公司的巴根泡不一樣所以他會經過協商第二種我們有短期的因應方案去協助廠商降低成本 |
transcript.whisperx[20].start |
457.245 |
transcript.whisperx[20].end |
461.307 |
transcript.whisperx[20].text |
那我們這個預算 那對手因為也是漲100%我現在告訴你 你不要講對手你現在系統壓降 你看歐陵隧道我沒有系統壓降 只是我把事實做分析我會跟你講事實假如我是這個相關企業的老闆 我賺不到100% |
transcript.whisperx[21].start |
484.93 |
transcript.whisperx[21].end |
497.655 |
transcript.whisperx[21].text |
我還要想跟他競爭你的假設這100%都要台灣的企業付的前提下講這件事情當然是台灣企業付不然的話川普是課這個稅是課薪資沒有因為你來自學界我來自產業我可以告訴你產業絕對會去協商協商稅 這樣美國會付喔這樣川普都沒有課啊川普都沒有收關稅了川普現在多plot |
transcript.whisperx[22].start |
510.694 |
transcript.whisperx[22].end |
518.873 |
transcript.whisperx[22].text |
說多麼驕傲的說我扣關稅已經扣了一千多億美金如果都是美國人的包袱他為什麼講這話 |
transcript.whisperx[23].start |
520.823 |
transcript.whisperx[23].end |
548.504 |
transcript.whisperx[23].text |
他為什麼要講這個話對不對 來這個我看下一頁我請教一個 今天其實更重要的主題在這裡主權基金你是主管單位 對吧主權基金我不是主管單位是喔 怎麼不是 你Google一下國安會是主管單位喔我們只是只是現在在評估負責評估而已那你什麼時候可以把草案送到行政院我們現在正在訪談 |
transcript.whisperx[24].start |
550.75 |
transcript.whisperx[24].end |
575.968 |
transcript.whisperx[24].text |
幾個主要的國家的主權基金因為他這裡面非常的複雜我們必須很慎重的處理大概給我們時間表什麼時候可以送到行政院我們的我們目前的看法就是我們寧願做很好的準備而不是有時間表那我們現在正在排到幾個國家去拜訪請教他們他們的做法是什麼因為他必須第一今年底有沒有辦法可能出來草案出來有沒有可能今年底 |
transcript.whisperx[25].start |
576.918 |
transcript.whisperx[25].end |
603.031 |
transcript.whisperx[25].text |
我們還要一層一層的上報這個看看這樣的準備夠不夠但是我跟您報告很重要的就是他如何能夠被監管的情況下又有自由的外界高度質疑非常大外界高度質疑你這個主權基金為什麼原來民進黨政府是反對的突然同意了因為主要都是要投資美國送過去美國那裡好最後一點我要跟你講一個東西川普講的 |
transcript.whisperx[26].start |
604.738 |
transcript.whisperx[26].end |
630.999 |
transcript.whisperx[26].text |
那是我們美國的錢啦日本對美國5500億所以我給他15%歐盟6000億南韓3500億美金那是美國的錢就很像職棒簽約的簽約金那是他的money結果我們為了拚面子我們為了跟韓國日本一樣拚5%我們每年賣到美國只有1160億 |
transcript.whisperx[27].start |
635.565 |
transcript.whisperx[27].end |
644.769 |
transcript.whisperx[27].text |
很多了省5%省60億美金為了省60億美金外面外傳要給4千億美金所以台灣他要台灣這個對美投資4千億美金這是extra的喔這是extra不算在這裡面的喔你怎麼講這個數據我不知道從哪裡來的所以我沒辦法抗議媒體對講4千億換5%變成15%那怎麼樣變15% |
transcript.whisperx[28].start |
664.178 |
transcript.whisperx[28].end |
666.463 |
transcript.whisperx[28].text |
我是覺得20%就認了不要審這個東西我沒辦法對未經證實的數據來做comment這個 各位這個我再跟你強調喔 |
transcript.whisperx[29].start |
677.045 |
transcript.whisperx[29].end |
701.999 |
transcript.whisperx[29].text |
我再跟你強調如果你剛剛講是對的說我們都有辦法轉嫁的話川普不必課這個稅啦所以我剛剛講企業一定會去商量不是這樣子啦我剛剛用的是商量我就跟你強調這個日本五千五百億歐盟六千億南韓三千五百億川普說那是美國的錢那是my money |
transcript.whisperx[30].start |
702.935 |
transcript.whisperx[30].end |
711.559 |
transcript.whisperx[30].text |
美國的錢是美國的錢所以不管台灣投資多少都是他拿走的我們為了就拼這個我覺得0月20%就20%嘛其實20%的衝擊很大啦你現在來講什麼大利多我聽一聽我們說什麼利多那是在美國市場的 |
transcript.whisperx[31].start |
725.543 |
transcript.whisperx[31].end |
742.219 |
transcript.whisperx[31].text |
一個這個晶片廠也好半導體廠也好是利多但是沒有受得人以及對我們下一代的就業機會是很大的傷害我要跟你講到這一天謝謝謝謝韋恩有些地方可能也許彼此有誤解我下次再跟您報告謝謝好謝謝 |