IVOD_ID |
159328 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159328 |
日期 |
2025-03-19 |
會議資料.會議代碼 |
委員會-11-3-19-3 |
會議資料.會議代碼:str |
第11屆第3會期經濟委員會第3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 |
3 |
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3次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-03-19T09:42:56+08:00 |
結束時間 |
2025-03-19T09:58:32+08:00 |
影片長度 |
00:15:36 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/8d8da86eec6b25b8610bb90f2a999549cea595bacfac0e4703218e34103c684fefeab28909cd25ec5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
張啓楷 |
委員發言時間 |
09:42:56 - 09:58:32 |
會議時間 |
2025-03-19T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期經濟委員會第3次全體委員會議(事由:邀請國家發展委員會主任委員列席報告業務概況,並備質詢。【3月19日及20日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
21.47909375 |
transcript.pyannote[0].end |
22.71096875 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
22.99784375 |
transcript.pyannote[1].end |
23.89221875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
31.13159375 |
transcript.pyannote[2].end |
31.77284375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
32.02596875 |
transcript.pyannote[3].end |
32.39721875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
33.07221875 |
transcript.pyannote[4].end |
33.78096875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
33.98346875 |
transcript.pyannote[5].end |
37.34159375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
37.54409375 |
transcript.pyannote[6].end |
38.47221875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
39.50159375 |
transcript.pyannote[7].end |
42.60659375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
43.61909375 |
transcript.pyannote[8].end |
45.71159375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
46.94346875 |
transcript.pyannote[9].end |
47.46659375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
48.02346875 |
transcript.pyannote[10].end |
50.90909375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
52.59659375 |
transcript.pyannote[11].end |
53.47409375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
54.46971875 |
transcript.pyannote[12].end |
55.22909375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
55.78596875 |
transcript.pyannote[13].end |
57.35534375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
57.84471875 |
transcript.pyannote[14].end |
59.95409375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
60.32534375 |
transcript.pyannote[15].end |
61.13534375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
61.65846875 |
transcript.pyannote[16].end |
63.81846875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
64.45971875 |
transcript.pyannote[17].end |
65.45534375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
65.99534375 |
transcript.pyannote[18].end |
66.82221875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
68.42534375 |
transcript.pyannote[19].end |
68.79659375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
68.98221875 |
transcript.pyannote[20].end |
70.70346875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
71.41221875 |
transcript.pyannote[21].end |
74.83784375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
75.49596875 |
transcript.pyannote[22].end |
76.81221875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
77.23409375 |
transcript.pyannote[23].end |
79.56284375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
80.89596875 |
transcript.pyannote[24].end |
83.57909375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
83.96721875 |
transcript.pyannote[25].end |
85.97534375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
86.80221875 |
transcript.pyannote[26].end |
89.21534375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
89.63721875 |
transcript.pyannote[27].end |
91.10534375 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
91.59471875 |
transcript.pyannote[28].end |
102.34409375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
102.69846875 |
transcript.pyannote[29].end |
117.24471875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
116.16471875 |
transcript.pyannote[30].end |
116.89034375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
117.66659375 |
transcript.pyannote[31].end |
119.55659375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
119.74221875 |
transcript.pyannote[32].end |
126.15471875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
126.62721875 |
transcript.pyannote[33].end |
127.33596875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
127.63971875 |
transcript.pyannote[34].end |
130.93034375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
132.24659375 |
transcript.pyannote[35].end |
139.11471875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
139.53659375 |
transcript.pyannote[36].end |
139.99221875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
140.90346875 |
transcript.pyannote[37].end |
141.89909375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
141.98346875 |
transcript.pyannote[38].end |
144.29534375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
144.63284375 |
transcript.pyannote[39].end |
150.77534375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
150.77534375 |
transcript.pyannote[40].end |
155.16284375 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
155.48346875 |
transcript.pyannote[41].end |
161.81159375 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
161.98034375 |
transcript.pyannote[42].end |
166.62096875 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
166.89096875 |
transcript.pyannote[43].end |
170.46846875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
170.68784375 |
transcript.pyannote[44].end |
172.17284375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
172.66221875 |
transcript.pyannote[45].end |
176.79659375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
177.10034375 |
transcript.pyannote[46].end |
179.02409375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
179.26034375 |
transcript.pyannote[47].end |
181.84221875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
182.50034375 |
transcript.pyannote[48].end |
182.53409375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
182.73659375 |
transcript.pyannote[49].end |
184.86284375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
186.33096875 |
transcript.pyannote[50].end |
186.83721875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
187.51221875 |
transcript.pyannote[51].end |
190.27971875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
190.66784375 |
transcript.pyannote[52].end |
191.49471875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
192.23721875 |
transcript.pyannote[53].end |
195.25784375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
196.06784375 |
transcript.pyannote[54].end |
197.72159375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
197.97471875 |
transcript.pyannote[55].end |
199.12221875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
200.64096875 |
transcript.pyannote[56].end |
201.97409375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
202.42971875 |
transcript.pyannote[57].end |
203.52659375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
203.72909375 |
transcript.pyannote[58].end |
204.35346875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
204.43784375 |
transcript.pyannote[59].end |
205.01159375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
205.73721875 |
transcript.pyannote[60].end |
207.27284375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
207.99846875 |
transcript.pyannote[61].end |
209.78721875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
210.24284375 |
transcript.pyannote[62].end |
211.22159375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
212.20034375 |
transcript.pyannote[63].end |
213.19596875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
213.90471875 |
transcript.pyannote[64].end |
214.78221875 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
215.44034375 |
transcript.pyannote[65].end |
216.25034375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
218.15721875 |
transcript.pyannote[66].end |
219.70971875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
220.75596875 |
transcript.pyannote[67].end |
221.86971875 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
222.54471875 |
transcript.pyannote[68].end |
223.97909375 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
224.38409375 |
transcript.pyannote[69].end |
226.56096875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
229.31159375 |
transcript.pyannote[70].end |
230.45909375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
230.67846875 |
transcript.pyannote[71].end |
231.47159375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
231.89346875 |
transcript.pyannote[72].end |
233.17596875 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
234.37409375 |
transcript.pyannote[73].end |
236.58471875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
239.43659375 |
transcript.pyannote[74].end |
243.08159375 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
243.84096875 |
transcript.pyannote[75].end |
244.56659375 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
244.85346875 |
transcript.pyannote[76].end |
245.98409375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
246.54096875 |
transcript.pyannote[77].end |
247.50284375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
248.27909375 |
transcript.pyannote[78].end |
248.95409375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
249.19034375 |
transcript.pyannote[79].end |
253.29096875 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
253.40909375 |
transcript.pyannote[80].end |
255.38346875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
255.80534375 |
transcript.pyannote[81].end |
259.19721875 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
259.97346875 |
transcript.pyannote[82].end |
262.84221875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
264.71534375 |
transcript.pyannote[83].end |
266.23409375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
266.89221875 |
transcript.pyannote[84].end |
267.88784375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
268.44471875 |
transcript.pyannote[85].end |
270.09846875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
270.70596875 |
transcript.pyannote[86].end |
271.39784375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
271.46534375 |
transcript.pyannote[87].end |
272.76471875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
273.47346875 |
transcript.pyannote[88].end |
275.04284375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
275.59971875 |
transcript.pyannote[89].end |
276.40971875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
276.79784375 |
transcript.pyannote[90].end |
279.53159375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
279.95346875 |
transcript.pyannote[91].end |
282.65346875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
283.42971875 |
transcript.pyannote[92].end |
284.02034375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
285.25221875 |
transcript.pyannote[93].end |
286.58534375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
289.08284375 |
transcript.pyannote[94].end |
290.14596875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
290.65221875 |
transcript.pyannote[95].end |
299.52846875 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
291.59721875 |
transcript.pyannote[96].end |
291.76596875 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
298.92096875 |
transcript.pyannote[97].end |
327.05159375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
324.62159375 |
transcript.pyannote[98].end |
325.04346875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
325.48221875 |
transcript.pyannote[99].end |
337.49721875 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
328.24971875 |
transcript.pyannote[100].end |
330.83159375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
337.78409375 |
transcript.pyannote[101].end |
340.65284375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
341.36159375 |
transcript.pyannote[102].end |
343.77471875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
343.90971875 |
transcript.pyannote[103].end |
346.57596875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
347.06534375 |
transcript.pyannote[104].end |
348.34784375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
350.28846875 |
transcript.pyannote[105].end |
351.11534375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
351.63846875 |
transcript.pyannote[106].end |
352.88721875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
353.35971875 |
transcript.pyannote[107].end |
355.14846875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
355.82346875 |
transcript.pyannote[108].end |
360.59909375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
361.56096875 |
transcript.pyannote[109].end |
363.02909375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
363.33284375 |
transcript.pyannote[110].end |
364.22721875 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
364.37909375 |
transcript.pyannote[111].end |
366.18471875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
366.42096875 |
transcript.pyannote[112].end |
368.39534375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
368.54721875 |
transcript.pyannote[113].end |
370.25159375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
370.55534375 |
transcript.pyannote[114].end |
371.38221875 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
371.61846875 |
transcript.pyannote[115].end |
372.42846875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
374.14971875 |
transcript.pyannote[116].end |
375.16221875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
375.78659375 |
transcript.pyannote[117].end |
378.87471875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
379.75221875 |
transcript.pyannote[118].end |
381.22034375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
381.67596875 |
transcript.pyannote[119].end |
384.12284375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
384.44346875 |
transcript.pyannote[120].end |
387.71721875 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
387.90284375 |
transcript.pyannote[121].end |
388.25721875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
388.59471875 |
transcript.pyannote[122].end |
390.94034375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
391.34534375 |
transcript.pyannote[123].end |
393.79221875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
394.09596875 |
transcript.pyannote[124].end |
395.41221875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
396.42471875 |
transcript.pyannote[125].end |
398.02784375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
398.93909375 |
transcript.pyannote[126].end |
399.47909375 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
399.71534375 |
transcript.pyannote[127].end |
402.04409375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
402.24659375 |
transcript.pyannote[128].end |
403.57971875 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
404.23784375 |
transcript.pyannote[129].end |
405.31784375 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
405.84096875 |
transcript.pyannote[130].end |
407.14034375 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
408.01784375 |
transcript.pyannote[131].end |
410.59971875 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
411.27471875 |
transcript.pyannote[132].end |
413.21534375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
413.82284375 |
transcript.pyannote[133].end |
414.98721875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
415.72971875 |
transcript.pyannote[134].end |
416.10096875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
416.26971875 |
transcript.pyannote[135].end |
417.36659375 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
417.67034375 |
transcript.pyannote[136].end |
420.47159375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
420.75846875 |
transcript.pyannote[137].end |
421.31534375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
421.55159375 |
transcript.pyannote[138].end |
422.51346875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
423.34034375 |
transcript.pyannote[139].end |
425.26409375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
425.36534375 |
transcript.pyannote[140].end |
426.46221875 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
427.27221875 |
transcript.pyannote[141].end |
432.52034375 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
433.06034375 |
transcript.pyannote[142].end |
435.52409375 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
436.62096875 |
transcript.pyannote[143].end |
459.57096875 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
459.57096875 |
transcript.pyannote[144].end |
460.93784375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
461.41034375 |
transcript.pyannote[145].end |
468.75096875 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
469.15596875 |
transcript.pyannote[146].end |
473.40846875 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
473.98221875 |
transcript.pyannote[147].end |
474.53909375 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
474.92721875 |
transcript.pyannote[148].end |
478.82534375 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
479.70284375 |
transcript.pyannote[149].end |
482.55471875 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
482.63909375 |
transcript.pyannote[150].end |
484.24221875 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
484.64721875 |
transcript.pyannote[151].end |
485.86221875 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
486.21659375 |
transcript.pyannote[152].end |
489.15284375 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
489.30471875 |
transcript.pyannote[153].end |
489.84471875 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
489.84471875 |
transcript.pyannote[154].end |
490.01346875 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
490.01346875 |
transcript.pyannote[155].end |
491.16096875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
490.03034375 |
transcript.pyannote[156].end |
490.38471875 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
491.70096875 |
transcript.pyannote[157].end |
494.67096875 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
495.27846875 |
transcript.pyannote[158].end |
496.83096875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
497.65784375 |
transcript.pyannote[159].end |
499.63221875 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
500.62784375 |
transcript.pyannote[160].end |
501.67409375 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
502.26471875 |
transcript.pyannote[161].end |
502.75409375 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
503.49659375 |
transcript.pyannote[162].end |
504.27284375 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
504.69471875 |
transcript.pyannote[163].end |
506.41596875 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
507.00659375 |
transcript.pyannote[164].end |
509.18346875 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
509.60534375 |
transcript.pyannote[165].end |
511.66409375 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
513.31784375 |
transcript.pyannote[166].end |
514.60034375 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
514.90409375 |
transcript.pyannote[167].end |
518.32971875 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
518.71784375 |
transcript.pyannote[168].end |
520.38846875 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
520.84409375 |
transcript.pyannote[169].end |
521.80596875 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
522.26159375 |
transcript.pyannote[170].end |
528.53909375 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
529.16346875 |
transcript.pyannote[171].end |
530.17596875 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
530.78346875 |
transcript.pyannote[172].end |
532.21784375 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
532.74096875 |
transcript.pyannote[173].end |
533.88846875 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
535.13721875 |
transcript.pyannote[174].end |
536.55471875 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
537.22971875 |
transcript.pyannote[175].end |
538.52909375 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
538.59659375 |
transcript.pyannote[176].end |
539.30534375 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
540.26721875 |
transcript.pyannote[177].end |
541.17846875 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
541.38096875 |
transcript.pyannote[178].end |
542.54534375 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
543.65909375 |
transcript.pyannote[179].end |
544.94159375 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
545.66721875 |
transcript.pyannote[180].end |
546.51096875 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
547.06784375 |
transcript.pyannote[181].end |
548.75534375 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
549.16034375 |
transcript.pyannote[182].end |
552.51846875 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
552.85596875 |
transcript.pyannote[183].end |
554.05409375 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
554.66159375 |
transcript.pyannote[184].end |
555.48846875 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
556.55159375 |
transcript.pyannote[185].end |
557.49659375 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
557.49659375 |
transcript.pyannote[186].end |
557.51346875 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
557.98596875 |
transcript.pyannote[187].end |
558.96471875 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
558.96471875 |
transcript.pyannote[188].end |
559.65659375 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
559.99409375 |
transcript.pyannote[189].end |
560.01096875 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
560.01096875 |
transcript.pyannote[190].end |
560.66909375 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
561.02346875 |
transcript.pyannote[191].end |
561.41159375 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
561.41159375 |
transcript.pyannote[192].end |
562.66034375 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
562.91346875 |
transcript.pyannote[193].end |
563.11596875 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
563.52096875 |
transcript.pyannote[194].end |
569.88284375 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
569.93346875 |
transcript.pyannote[195].end |
569.95034375 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
570.01784375 |
transcript.pyannote[196].end |
577.51034375 |
transcript.pyannote[197].speaker |
SPEAKER_00 |
transcript.pyannote[197].start |
577.12221875 |
transcript.pyannote[197].end |
579.04596875 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
577.98284375 |
transcript.pyannote[198].end |
578.05034375 |
transcript.pyannote[199].speaker |
SPEAKER_00 |
transcript.pyannote[199].start |
579.14721875 |
transcript.pyannote[199].end |
579.31596875 |
transcript.pyannote[200].speaker |
SPEAKER_00 |
transcript.pyannote[200].start |
579.65346875 |
transcript.pyannote[200].end |
583.39971875 |
transcript.pyannote[201].speaker |
SPEAKER_00 |
transcript.pyannote[201].start |
583.92284375 |
transcript.pyannote[201].end |
584.73284375 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
585.12096875 |
transcript.pyannote[202].end |
587.19659375 |
transcript.pyannote[203].speaker |
SPEAKER_00 |
transcript.pyannote[203].start |
588.24284375 |
transcript.pyannote[203].end |
590.47034375 |
transcript.pyannote[204].speaker |
SPEAKER_00 |
transcript.pyannote[204].start |
591.02721875 |
transcript.pyannote[204].end |
591.78659375 |
transcript.pyannote[205].speaker |
SPEAKER_00 |
transcript.pyannote[205].start |
592.20846875 |
transcript.pyannote[205].end |
594.85784375 |
transcript.pyannote[206].speaker |
SPEAKER_00 |
transcript.pyannote[206].start |
595.85346875 |
transcript.pyannote[206].end |
597.01784375 |
transcript.pyannote[207].speaker |
SPEAKER_00 |
transcript.pyannote[207].start |
597.65909375 |
transcript.pyannote[207].end |
599.26221875 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
599.76846875 |
transcript.pyannote[208].end |
601.38846875 |
transcript.pyannote[209].speaker |
SPEAKER_00 |
transcript.pyannote[209].start |
601.91159375 |
transcript.pyannote[209].end |
602.73846875 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
604.12221875 |
transcript.pyannote[210].end |
606.41721875 |
transcript.pyannote[211].speaker |
SPEAKER_00 |
transcript.pyannote[211].start |
606.73784375 |
transcript.pyannote[211].end |
607.78409375 |
transcript.pyannote[212].speaker |
SPEAKER_00 |
transcript.pyannote[212].start |
608.74596875 |
transcript.pyannote[212].end |
611.80034375 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
612.01971875 |
transcript.pyannote[213].end |
614.26409375 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
614.80409375 |
transcript.pyannote[214].end |
615.90096875 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
616.03596875 |
transcript.pyannote[215].end |
616.37346875 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
617.21721875 |
transcript.pyannote[216].end |
618.16221875 |
transcript.pyannote[217].speaker |
SPEAKER_00 |
transcript.pyannote[217].start |
618.82034375 |
transcript.pyannote[217].end |
621.46971875 |
transcript.pyannote[218].speaker |
SPEAKER_00 |
transcript.pyannote[218].start |
621.55409375 |
transcript.pyannote[218].end |
624.00096875 |
transcript.pyannote[219].speaker |
SPEAKER_01 |
transcript.pyannote[219].start |
621.60471875 |
transcript.pyannote[219].end |
623.74784375 |
transcript.pyannote[220].speaker |
SPEAKER_00 |
transcript.pyannote[220].start |
624.08534375 |
transcript.pyannote[220].end |
626.21159375 |
transcript.pyannote[221].speaker |
SPEAKER_00 |
transcript.pyannote[221].start |
627.61221875 |
transcript.pyannote[221].end |
628.72596875 |
transcript.pyannote[222].speaker |
SPEAKER_00 |
transcript.pyannote[222].start |
629.33346875 |
transcript.pyannote[222].end |
632.87721875 |
transcript.pyannote[223].speaker |
SPEAKER_00 |
transcript.pyannote[223].start |
633.23159375 |
transcript.pyannote[223].end |
633.92346875 |
transcript.pyannote[224].speaker |
SPEAKER_00 |
transcript.pyannote[224].start |
634.56471875 |
transcript.pyannote[224].end |
635.57721875 |
transcript.pyannote[225].speaker |
SPEAKER_00 |
transcript.pyannote[225].start |
636.31971875 |
transcript.pyannote[225].end |
636.89346875 |
transcript.pyannote[226].speaker |
SPEAKER_00 |
transcript.pyannote[226].start |
637.75409375 |
transcript.pyannote[226].end |
641.60159375 |
transcript.pyannote[227].speaker |
SPEAKER_00 |
transcript.pyannote[227].start |
642.04034375 |
transcript.pyannote[227].end |
647.96346875 |
transcript.pyannote[228].speaker |
SPEAKER_00 |
transcript.pyannote[228].start |
648.53721875 |
transcript.pyannote[228].end |
649.49909375 |
transcript.pyannote[229].speaker |
SPEAKER_00 |
transcript.pyannote[229].start |
650.32596875 |
transcript.pyannote[229].end |
652.36784375 |
transcript.pyannote[230].speaker |
SPEAKER_00 |
transcript.pyannote[230].start |
652.58721875 |
transcript.pyannote[230].end |
654.74721875 |
transcript.pyannote[231].speaker |
SPEAKER_00 |
transcript.pyannote[231].start |
655.13534375 |
transcript.pyannote[231].end |
657.14346875 |
transcript.pyannote[232].speaker |
SPEAKER_00 |
transcript.pyannote[232].start |
657.78471875 |
transcript.pyannote[232].end |
658.45971875 |
transcript.pyannote[233].speaker |
SPEAKER_00 |
transcript.pyannote[233].start |
659.97846875 |
transcript.pyannote[233].end |
660.01221875 |
transcript.pyannote[234].speaker |
SPEAKER_00 |
transcript.pyannote[234].start |
660.16409375 |
transcript.pyannote[234].end |
660.95721875 |
transcript.pyannote[235].speaker |
SPEAKER_00 |
transcript.pyannote[235].start |
661.66596875 |
transcript.pyannote[235].end |
662.98221875 |
transcript.pyannote[236].speaker |
SPEAKER_00 |
transcript.pyannote[236].start |
663.38721875 |
transcript.pyannote[236].end |
665.22659375 |
transcript.pyannote[237].speaker |
SPEAKER_00 |
transcript.pyannote[237].start |
665.69909375 |
transcript.pyannote[237].end |
666.18846875 |
transcript.pyannote[238].speaker |
SPEAKER_00 |
transcript.pyannote[238].start |
666.79596875 |
transcript.pyannote[238].end |
668.39909375 |
transcript.pyannote[239].speaker |
SPEAKER_00 |
transcript.pyannote[239].start |
671.25096875 |
transcript.pyannote[239].end |
672.61784375 |
transcript.pyannote[240].speaker |
SPEAKER_00 |
transcript.pyannote[240].start |
673.27596875 |
transcript.pyannote[240].end |
673.66409375 |
transcript.pyannote[241].speaker |
SPEAKER_00 |
transcript.pyannote[241].start |
674.45721875 |
transcript.pyannote[241].end |
674.67659375 |
transcript.pyannote[242].speaker |
SPEAKER_00 |
transcript.pyannote[242].start |
675.41909375 |
transcript.pyannote[242].end |
677.27534375 |
transcript.pyannote[243].speaker |
SPEAKER_00 |
transcript.pyannote[243].start |
677.64659375 |
transcript.pyannote[243].end |
678.94596875 |
transcript.pyannote[244].speaker |
SPEAKER_00 |
transcript.pyannote[244].start |
679.55346875 |
transcript.pyannote[244].end |
682.06784375 |
transcript.pyannote[245].speaker |
SPEAKER_00 |
transcript.pyannote[245].start |
684.49784375 |
transcript.pyannote[245].end |
685.45971875 |
transcript.pyannote[246].speaker |
SPEAKER_00 |
transcript.pyannote[246].start |
686.21909375 |
transcript.pyannote[246].end |
686.64096875 |
transcript.pyannote[247].speaker |
SPEAKER_00 |
transcript.pyannote[247].start |
686.94471875 |
transcript.pyannote[247].end |
692.42909375 |
transcript.pyannote[248].speaker |
SPEAKER_01 |
transcript.pyannote[248].start |
687.33284375 |
transcript.pyannote[248].end |
688.64909375 |
transcript.pyannote[249].speaker |
SPEAKER_00 |
transcript.pyannote[249].start |
693.28971875 |
transcript.pyannote[249].end |
694.43721875 |
transcript.pyannote[250].speaker |
SPEAKER_00 |
transcript.pyannote[250].start |
695.09534375 |
transcript.pyannote[250].end |
695.61846875 |
transcript.pyannote[251].speaker |
SPEAKER_01 |
transcript.pyannote[251].start |
695.17971875 |
transcript.pyannote[251].end |
696.52971875 |
transcript.pyannote[252].speaker |
SPEAKER_00 |
transcript.pyannote[252].start |
696.19221875 |
transcript.pyannote[252].end |
696.44534375 |
transcript.pyannote[253].speaker |
SPEAKER_01 |
transcript.pyannote[253].start |
696.64784375 |
transcript.pyannote[253].end |
697.71096875 |
transcript.pyannote[254].speaker |
SPEAKER_00 |
transcript.pyannote[254].start |
697.59284375 |
transcript.pyannote[254].end |
700.49534375 |
transcript.pyannote[255].speaker |
SPEAKER_00 |
transcript.pyannote[255].start |
700.81596875 |
transcript.pyannote[255].end |
701.76096875 |
transcript.pyannote[256].speaker |
SPEAKER_00 |
transcript.pyannote[256].start |
702.28409375 |
transcript.pyannote[256].end |
705.42284375 |
transcript.pyannote[257].speaker |
SPEAKER_00 |
transcript.pyannote[257].start |
706.04721875 |
transcript.pyannote[257].end |
709.28721875 |
transcript.pyannote[258].speaker |
SPEAKER_00 |
transcript.pyannote[258].start |
710.29971875 |
transcript.pyannote[258].end |
713.82659375 |
transcript.pyannote[259].speaker |
SPEAKER_00 |
transcript.pyannote[259].start |
714.18096875 |
transcript.pyannote[259].end |
717.13409375 |
transcript.pyannote[260].speaker |
SPEAKER_00 |
transcript.pyannote[260].start |
717.65721875 |
transcript.pyannote[260].end |
719.20971875 |
transcript.pyannote[261].speaker |
SPEAKER_00 |
transcript.pyannote[261].start |
719.80034375 |
transcript.pyannote[261].end |
721.21784375 |
transcript.pyannote[262].speaker |
SPEAKER_00 |
transcript.pyannote[262].start |
721.58909375 |
transcript.pyannote[262].end |
724.50846875 |
transcript.pyannote[263].speaker |
SPEAKER_00 |
transcript.pyannote[263].start |
725.35221875 |
transcript.pyannote[263].end |
725.97659375 |
transcript.pyannote[264].speaker |
SPEAKER_00 |
transcript.pyannote[264].start |
726.21284375 |
transcript.pyannote[264].end |
726.95534375 |
transcript.pyannote[265].speaker |
SPEAKER_01 |
transcript.pyannote[265].start |
726.95534375 |
transcript.pyannote[265].end |
727.00596875 |
transcript.pyannote[266].speaker |
SPEAKER_00 |
transcript.pyannote[266].start |
727.30971875 |
transcript.pyannote[266].end |
727.96784375 |
transcript.pyannote[267].speaker |
SPEAKER_01 |
transcript.pyannote[267].start |
727.96784375 |
transcript.pyannote[267].end |
728.22096875 |
transcript.pyannote[268].speaker |
SPEAKER_00 |
transcript.pyannote[268].start |
729.01409375 |
transcript.pyannote[268].end |
729.03096875 |
transcript.pyannote[269].speaker |
SPEAKER_01 |
transcript.pyannote[269].start |
729.03096875 |
transcript.pyannote[269].end |
733.41846875 |
transcript.pyannote[270].speaker |
SPEAKER_01 |
transcript.pyannote[270].start |
733.60409375 |
transcript.pyannote[270].end |
737.90721875 |
transcript.pyannote[271].speaker |
SPEAKER_00 |
transcript.pyannote[271].start |
737.48534375 |
transcript.pyannote[271].end |
743.40846875 |
transcript.pyannote[272].speaker |
SPEAKER_00 |
transcript.pyannote[272].start |
743.54346875 |
transcript.pyannote[272].end |
747.25596875 |
transcript.pyannote[273].speaker |
SPEAKER_00 |
transcript.pyannote[273].start |
747.82971875 |
transcript.pyannote[273].end |
748.79159375 |
transcript.pyannote[274].speaker |
SPEAKER_00 |
transcript.pyannote[274].start |
749.50034375 |
transcript.pyannote[274].end |
750.98534375 |
transcript.pyannote[275].speaker |
SPEAKER_01 |
transcript.pyannote[275].start |
752.13284375 |
transcript.pyannote[275].end |
755.57534375 |
transcript.pyannote[276].speaker |
SPEAKER_00 |
transcript.pyannote[276].start |
754.10721875 |
transcript.pyannote[276].end |
759.45659375 |
transcript.pyannote[277].speaker |
SPEAKER_01 |
transcript.pyannote[277].start |
759.08534375 |
transcript.pyannote[277].end |
762.84846875 |
transcript.pyannote[278].speaker |
SPEAKER_01 |
transcript.pyannote[278].start |
763.05096875 |
transcript.pyannote[278].end |
763.55721875 |
transcript.pyannote[279].speaker |
SPEAKER_00 |
transcript.pyannote[279].start |
763.13534375 |
transcript.pyannote[279].end |
767.20221875 |
transcript.pyannote[280].speaker |
SPEAKER_00 |
transcript.pyannote[280].start |
767.50596875 |
transcript.pyannote[280].end |
769.71659375 |
transcript.pyannote[281].speaker |
SPEAKER_01 |
transcript.pyannote[281].start |
769.71659375 |
transcript.pyannote[281].end |
773.39534375 |
transcript.pyannote[282].speaker |
SPEAKER_01 |
transcript.pyannote[282].start |
773.78346875 |
transcript.pyannote[282].end |
794.26971875 |
transcript.pyannote[283].speaker |
SPEAKER_01 |
transcript.pyannote[283].start |
794.37096875 |
transcript.pyannote[283].end |
795.85596875 |
transcript.pyannote[284].speaker |
SPEAKER_00 |
transcript.pyannote[284].start |
794.45534375 |
transcript.pyannote[284].end |
801.25596875 |
transcript.pyannote[285].speaker |
SPEAKER_01 |
transcript.pyannote[285].start |
799.12971875 |
transcript.pyannote[285].end |
805.44096875 |
transcript.pyannote[286].speaker |
SPEAKER_00 |
transcript.pyannote[286].start |
803.04471875 |
transcript.pyannote[286].end |
803.12909375 |
transcript.pyannote[287].speaker |
SPEAKER_00 |
transcript.pyannote[287].start |
805.13721875 |
transcript.pyannote[287].end |
806.14971875 |
transcript.pyannote[288].speaker |
SPEAKER_01 |
transcript.pyannote[288].start |
806.04846875 |
transcript.pyannote[288].end |
807.31409375 |
transcript.pyannote[289].speaker |
SPEAKER_00 |
transcript.pyannote[289].start |
806.58846875 |
transcript.pyannote[289].end |
808.95096875 |
transcript.pyannote[290].speaker |
SPEAKER_01 |
transcript.pyannote[290].start |
808.57971875 |
transcript.pyannote[290].end |
808.69784375 |
transcript.pyannote[291].speaker |
SPEAKER_01 |
transcript.pyannote[291].start |
808.95096875 |
transcript.pyannote[291].end |
808.96784375 |
transcript.pyannote[292].speaker |
SPEAKER_01 |
transcript.pyannote[292].start |
809.17034375 |
transcript.pyannote[292].end |
824.00346875 |
transcript.pyannote[293].speaker |
SPEAKER_01 |
transcript.pyannote[293].start |
824.29034375 |
transcript.pyannote[293].end |
826.11284375 |
transcript.pyannote[294].speaker |
SPEAKER_00 |
transcript.pyannote[294].start |
825.57284375 |
transcript.pyannote[294].end |
829.63971875 |
transcript.pyannote[295].speaker |
SPEAKER_01 |
transcript.pyannote[295].start |
827.96909375 |
transcript.pyannote[295].end |
831.46221875 |
transcript.pyannote[296].speaker |
SPEAKER_01 |
transcript.pyannote[296].start |
831.63096875 |
transcript.pyannote[296].end |
835.63034375 |
transcript.pyannote[297].speaker |
SPEAKER_00 |
transcript.pyannote[297].start |
833.31846875 |
transcript.pyannote[297].end |
838.41471875 |
transcript.pyannote[298].speaker |
SPEAKER_00 |
transcript.pyannote[298].start |
838.60034375 |
transcript.pyannote[298].end |
846.31221875 |
transcript.pyannote[299].speaker |
SPEAKER_00 |
transcript.pyannote[299].start |
846.51471875 |
transcript.pyannote[299].end |
855.61034375 |
transcript.pyannote[300].speaker |
SPEAKER_01 |
transcript.pyannote[300].start |
855.61034375 |
transcript.pyannote[300].end |
856.33596875 |
transcript.pyannote[301].speaker |
SPEAKER_00 |
transcript.pyannote[301].start |
855.89721875 |
transcript.pyannote[301].end |
864.65534375 |
transcript.pyannote[302].speaker |
SPEAKER_00 |
transcript.pyannote[302].start |
865.04346875 |
transcript.pyannote[302].end |
867.76034375 |
transcript.pyannote[303].speaker |
SPEAKER_00 |
transcript.pyannote[303].start |
868.62096875 |
transcript.pyannote[303].end |
870.24096875 |
transcript.pyannote[304].speaker |
SPEAKER_00 |
transcript.pyannote[304].start |
870.76409375 |
transcript.pyannote[304].end |
871.65846875 |
transcript.pyannote[305].speaker |
SPEAKER_00 |
transcript.pyannote[305].start |
872.38409375 |
transcript.pyannote[305].end |
874.61159375 |
transcript.pyannote[306].speaker |
SPEAKER_00 |
transcript.pyannote[306].start |
874.74659375 |
transcript.pyannote[306].end |
875.62409375 |
transcript.pyannote[307].speaker |
SPEAKER_00 |
transcript.pyannote[307].start |
876.11346875 |
transcript.pyannote[307].end |
880.02846875 |
transcript.pyannote[308].speaker |
SPEAKER_00 |
transcript.pyannote[308].start |
880.41659375 |
transcript.pyannote[308].end |
883.45409375 |
transcript.pyannote[309].speaker |
SPEAKER_00 |
transcript.pyannote[309].start |
883.47096875 |
transcript.pyannote[309].end |
884.80409375 |
transcript.pyannote[310].speaker |
SPEAKER_01 |
transcript.pyannote[310].start |
884.80409375 |
transcript.pyannote[310].end |
888.68534375 |
transcript.pyannote[311].speaker |
SPEAKER_01 |
transcript.pyannote[311].start |
889.39409375 |
transcript.pyannote[311].end |
890.86221875 |
transcript.pyannote[312].speaker |
SPEAKER_00 |
transcript.pyannote[312].start |
891.82409375 |
transcript.pyannote[312].end |
892.46534375 |
transcript.pyannote[313].speaker |
SPEAKER_00 |
transcript.pyannote[313].start |
892.88721875 |
transcript.pyannote[313].end |
894.91221875 |
transcript.pyannote[314].speaker |
SPEAKER_00 |
transcript.pyannote[314].start |
895.03034375 |
transcript.pyannote[314].end |
896.43096875 |
transcript.pyannote[315].speaker |
SPEAKER_01 |
transcript.pyannote[315].start |
896.53221875 |
transcript.pyannote[315].end |
896.90346875 |
transcript.pyannote[316].speaker |
SPEAKER_00 |
transcript.pyannote[316].start |
897.17346875 |
transcript.pyannote[316].end |
901.74659375 |
transcript.pyannote[317].speaker |
SPEAKER_00 |
transcript.pyannote[317].start |
901.98284375 |
transcript.pyannote[317].end |
903.51846875 |
transcript.pyannote[318].speaker |
SPEAKER_00 |
transcript.pyannote[318].start |
904.19346875 |
transcript.pyannote[318].end |
904.68284375 |
transcript.pyannote[319].speaker |
SPEAKER_00 |
transcript.pyannote[319].start |
905.17221875 |
transcript.pyannote[319].end |
909.44159375 |
transcript.pyannote[320].speaker |
SPEAKER_01 |
transcript.pyannote[320].start |
909.66096875 |
transcript.pyannote[320].end |
910.50471875 |
transcript.pyannote[321].speaker |
SPEAKER_00 |
transcript.pyannote[321].start |
910.50471875 |
transcript.pyannote[321].end |
916.86659375 |
transcript.pyannote[322].speaker |
SPEAKER_01 |
transcript.pyannote[322].start |
911.16284375 |
transcript.pyannote[322].end |
912.68159375 |
transcript.pyannote[323].speaker |
SPEAKER_00 |
transcript.pyannote[323].start |
916.91721875 |
transcript.pyannote[323].end |
924.67971875 |
transcript.pyannote[324].speaker |
SPEAKER_00 |
transcript.pyannote[324].start |
925.10159375 |
transcript.pyannote[324].end |
928.86471875 |
transcript.pyannote[325].speaker |
SPEAKER_00 |
transcript.pyannote[325].start |
929.03346875 |
transcript.pyannote[325].end |
935.34471875 |
transcript.pyannote[326].speaker |
SPEAKER_01 |
transcript.pyannote[326].start |
933.11721875 |
transcript.pyannote[326].end |
933.33659375 |
transcript.pyannote[327].speaker |
SPEAKER_00 |
transcript.pyannote[327].start |
935.56409375 |
transcript.pyannote[327].end |
936.20534375 |
transcript.whisperx[0].start |
22.136 |
transcript.whisperx[0].end |
49.684 |
transcript.whisperx[0].text |
請下座位 好 劉主委委員長國發會啊 非常的重要 它是我們國家發展的總舵手領頭羊我剛剛看你的報告有特別提到用水跟用電上這段時間民眾最關心的就是不是雙台效應 現在是不是有三個颱風要來了 |
transcript.whisperx[1].start |
52.728 |
transcript.whisperx[1].end |
79.444 |
transcript.whisperx[1].text |
水要漲了電要漲了台鐵也要漲了所以連央行都出來示警了央行說啊如果這三個全部都漲的話我們的CPI啊會衝破百分之二的這個警界線當初定這個百分之二就是有可能通膨嘛 對不對那這個對我們的民生跟產業衝擊會非常非常的大 |
transcript.whisperx[2].start |
82.077 |
transcript.whisperx[2].end |
89.182 |
transcript.whisperx[2].text |
請問國發會 諸委你們有做什麼樣的因應例如說可以讓這個電價不要漲或者是怎麼樣對人民的這個衝擊是小一點的 |
transcript.whisperx[3].start |
89.873 |
transcript.whisperx[3].end |
115.501 |
transcript.whisperx[3].text |
因為這個電價漲不漲或者是票價漲不漲不在國安會的權責那我們現在就是透過我們的物價督導匯報的我們是這個單位的幕僚我們會大概會對幾個重要的物資譬如說黃曉玉這個的那個關稅啦或者是一些消費稅上面然後能源的那個相關的稅賦上面我們會進行抵檢然後做一些措施來 |
transcript.whisperx[4].start |
116.781 |
transcript.whisperx[4].end |
138.51 |
transcript.whisperx[4].text |
所以國發會是我們整個經濟發展經濟大經濟會的一個領頭羊你是經濟經濟會跟原卡會合在一起的所以是整個國家發展水跟電對你來講當然很重要不過當初我的了解包括總統找你來一開始除了你的專業之外不是很重要就是要解決讓電可以穩定嗎是不是 |
transcript.whisperx[5].start |
142.528 |
transcript.whisperx[5].end |
166.403 |
transcript.whisperx[5].text |
現在電價你至少現在做一件事情嘛讓電是穩定的讓電價不要一直漲我覺得這是國發會非常非常重要的任務我們也有反映民間的一些看法給到經濟部那經濟部我想他們在做任何事情都會考慮到這個產業的看法那的確有一些產業有跟我們反映我們都有反映過去 |
transcript.whisperx[6].start |
166.983 |
transcript.whisperx[6].end |
194.465 |
transcript.whisperx[6].text |
所以一方面是人在公民好修行苦民所苦民眾在擔心整個物價的一個高漲電價帶動整個物價的這個高漲這對人民生活衝擊是很大的那對整個產業的發展也是很重要的所以我今天給你看一個解決的方案大家看一下這是2006年開始一直到2024年整個平均電價的一個走勢圖波動 |
transcript.whisperx[7].start |
196.104 |
transcript.whisperx[7].end |
214.479 |
transcript.whisperx[7].text |
你會發現一個非常重要的我們在裡面再找答案馬英九在2008年上任執政了8年2016年交給蔡英文他接的時候啊一度墊我們用了一度墊2塊6左右經過8年啦還是2塊6你會發現馬英九的這8年 |
transcript.whisperx[8].start |
221.296 |
transcript.whisperx[8].end |
246.97 |
transcript.whisperx[8].text |
電價漲了四次可是大家很多人都忘記了它後面這兩年降了三次現在讓我們擔心的這也是國泡會馬上要去處理的蔡英文的八年漲了四次賴清德總統去年的十月份已經漲了一次了對不對現在十月一號 宜蘭姐又漲一次像充電砲耶 |
transcript.whisperx[9].start |
248.325 |
transcript.whisperx[9].end |
260.402 |
transcript.whisperx[9].text |
你會發現馬英九是上去之後4次完以後降了3次等於只有上一次對不對電價維持在一度是2塊6結果你從蔡英文的8年一直大帶輕的這樣一直衝上去2塊6現在已經到達3塊4、3塊5了 |
transcript.whisperx[10].start |
264.755 |
transcript.whisperx[10].end |
285.991 |
transcript.whisperx[10].text |
第一個人民負擔很重對不對第二個可能更嚴重啊三個颱風要來特別是電價對我們人民對物價衝擊很大啊國發會有責任去弄清楚為什麼馬英九當初國際的這個油價上漲的時候他上來為什麼他後來有辦法連山降為什麼民進黨沒辦法 |
transcript.whisperx[11].start |
289.127 |
transcript.whisperx[11].end |
313.621 |
transcript.whisperx[11].text |
問題是不是在兩個指揮你這問題在哪裡為什麼馬英九時代可以下來為什麼民進黨這八年包括現在賴清德總統一直往上衝沒辦法降還在漲為什麼委員您是財經專家應該記得油價當年是從30幾塊我想馬英九那個時候衝到了100多塊大概到120幾那時候還謠言會到150所以那個時候他成本大幅的上漲就往上走後來 |
transcript.whisperx[12].start |
314.321 |
transcript.whisperx[12].end |
340.486 |
transcript.whisperx[12].text |
整個油價又大幅的往下到60塊左右那當然它有漲的空間跟跌的空間那後面這幾年其實都是想要穩定所以就一直撐著撐到那時候是石油對不對主委你也是專家那這次也因為戰爭的關係石油增加當初馬英九碰到是石油上漲那現在蔡英文總統民進黨政府那時候碰到是烏克蘭戰爭天然氣嘛對不對天然氣在烏克戰爭的第二年就前年就掉下來了嘛 |
transcript.whisperx[13].start |
341.414 |
transcript.whisperx[13].end |
360.464 |
transcript.whisperx[13].text |
你現在去看國際的燃料的價格,全部都是往下走的所以就出了兩個問題一個是核電,一個是綠電的問題這兩個是以前馬英九沒有的民進黨政府現在做的兩件事情是以前馬英九沒有做的就是挖了兩個財政的大黑洞 |
transcript.whisperx[14].start |
361.598 |
transcript.whisperx[14].end |
372.166 |
transcript.whisperx[14].text |
核電 核一廠被停了核二廠被停了核三廠 醫藥機被停了馬上5月17號這個是你要一些關心的馬上停了以後一年的發電成本過電成本比以前多了1000億所以才會搞到你已經撥補了三次3000億丟下去 |
transcript.whisperx[15].start |
379.773 |
transcript.whisperx[15].end |
397.306 |
transcript.whisperx[15].text |
無底洞啊你還是補不了啊所以你現在又要1000億老實講再給你你還是補補不了要去解決核電的問題這是一個第一個綠電買得太貴這也是另外一個大的漏洞了你買進來的綠電後來賣出去的台電只有賣了10%90%都沒有賣出去所以企業買不到電更嚴重的台電因為這樣子一年多花了600億1000加600億每一年都1600億 |
transcript.whisperx[16].start |
408.195 |
transcript.whisperx[16].end |
435.362 |
transcript.whisperx[16].text |
這不是波普跟漲價可以解決問題的要治本嘛 不要頭痛就一腳啊所以國發會有責任整個政府有責任去把病因找出來解決核電的問題解決綠電的這個問題這就不用漲電價啊可以像馬英九這樣可以下降啊所以我們現在期待看到的如果國發會提出一個比較理性專業的一個建議我們期待事業要看到的不是上價是往下降 |
transcript.whisperx[17].start |
436.69 |
transcript.whisperx[17].end |
456.039 |
transcript.whisperx[17].text |
我們會 這個謝謝委員 我們會去給經濟部建議那我也順便也報告我們 我有問過郭部長在綠電的部分是這樣子因為綠電需求來自於企業 所以它的綠電並不會到民間 會到企業那綠電成本的確一定是比較貴 但企業願意花比較高的代價去買 |
transcript.whisperx[18].start |
457.259 |
transcript.whisperx[18].end |
475.286 |
transcript.whisperx[18].text |
那目前的狀況那綠電並不影響到我們現在就是很多企業或者工業區去工業區的時候他們在陳情說買不到綠電嘛那現在這個台電今年開始要賣R130這是一個起步啦可是現在很明顯就是因為你們以前買的每一年買了300億度的綠電喔結果後來都用髒電的價格3點多4點多就賣出去了所以賠了 |
transcript.whisperx[19].start |
479.761 |
transcript.whisperx[19].end |
502.6 |
transcript.whisperx[19].text |
成本賠了600億那我們希望這個速度要加快你600億就可以回來了嘛對不對而且企業可以用到電嘛人民不用被漲電價這是三零嘛這要趕快做好不好好那我們來談核能核能最近有幾個非常重要的發展第一類AIT的處長谷麗妍啊接受自由時報的專訪的時候她明確講了一共啊 |
transcript.whisperx[20].start |
503.584 |
transcript.whisperx[20].end |
530.057 |
transcript.whisperx[20].text |
核能啊放眼全世界包括美國跟日本在內都在復甦使用核能就這兩個跟我們最好的也是我們最重要的盟邦也是一個先進國家的美跟日他們在重新用核電然後他特別提到這是因為很多公司需要穩定的基載電力等於核電是一個穩定的基載電力嘛對不對特別AI需要用很多電嘛 |
transcript.whisperx[21].start |
530.836 |
transcript.whisperx[21].end |
555.342 |
transcript.whisperx[21].text |
美國跟日本都這樣做啦,更重要啦,你看這個美國的AIT的促定,美國願意幫台灣包括核能的部分這是釋放一個很重要的訊息我們美國這樣做,你台灣現在可能有電力的缺口不夠穩定或者是缺電,或者電價太貴,我要幫你發展核電啊,這個有沒有很重要 |
transcript.whisperx[22].start |
556.721 |
transcript.whisperx[22].end |
584.309 |
transcript.whisperx[22].text |
這信息很重要吧這個我們會幫忙反映給經濟部那這個部分我想委員在這個總質詢也垂詢過我想院長也有跟部長都有一個清楚的回答如果有新的技術院長是表達他對新的技術是開放的等一下我們來談新的技術我再跟你看一個剛講的是現任的AIT的處長另外一個是前任的AIT的處長 |
transcript.whisperx[23].start |
585.229 |
transcript.whisperx[23].end |
607.731 |
transcript.whisperx[23].text |
司徒文 司徒文講得更白了 他是參加一個這個兵推啊他直接講了 他說台灣現在面臨電力的切剖當其他的國家都積極在擁抱核能的時候 為什麼台灣政府要排斥核電呢你看現任的跟上一任的都這樣建議了 這兩個人都很重要耶 |
transcript.whisperx[24].start |
608.786 |
transcript.whisperx[24].end |
635.444 |
transcript.whisperx[24].text |
不只國發會我這個政府現在要好好去思考美國都已經開口了他一直幫你了幫完以後有兩個很重要的嘛電價是可以降的第二個我們的電力是可以穩定的對台灣太重要了好不好那另外那天的兵推啊也提到一個很重要的說來講用核能我急著要提醒了現在政府不只把核電停掉了他現在極力的去發展這個用天然氣那天的兵推啊發現 |
transcript.whisperx[25].start |
637.796 |
transcript.whisperx[25].end |
656.377 |
transcript.whisperx[25].text |
我們的如果目前一直在發展這個目前用天然氣啊我們的能源的穩定啊風險係數達到0.99的幾乎是百分之百啦他做了一個兵推他說啊中共在南海強行去檢查我們的這個液化天然氣的這個船隻 |
transcript.whisperx[26].start |
660.294 |
transcript.whisperx[26].end |
681.608 |
transcript.whisperx[26].text |
昨天啊 前天 中共不是也開始要演習了嗎他不要打你啊 他只要圍你就好了十天 天然氣就斷氣了 台灣就斷氣了這個也是 拜託一下 注意現在所有停掉的核電 幾乎都是用天然氣來補天然氣在現在兩岸的關係搞得這麼緊張我們隨時會斷氣喔 |
transcript.whisperx[27].start |
686.26 |
transcript.whisperx[27].end |
709.134 |
transcript.whisperx[27].text |
好不好好最後我們來做一個總結所以你剛講的你說院長那天提到說要有一個新的核能對不對我要問兩個問題院長是說不排斥院長那天是講不排斥嘛那所謂的新核能是什麼如果美國也開口了我們現在的核二廠看起來隨時可以重啟啊你看以前美國跟日本要重啟一個核電廠可能要五年六年 |
transcript.whisperx[28].start |
710.499 |
transcript.whisperx[28].end |
728.074 |
transcript.whisperx[28].text |
現在不是喔 現在大概都是只要確定是安全的一年到三年就可以用了所以核二很快就可以重新的啟用那問你 如果我們經過檢查之後核二廠跟核三廠是安全的可以重新再啟動它算不算行政院你們定義的新的這個核能 |
transcript.whisperx[29].start |
729.456 |
transcript.whisperx[29].end |
750.866 |
transcript.whisperx[29].text |
這個還是要由那個主管人員政策的經濟部來做決定那安全的部分要由核安會來做一個把關嘛安全當然有安全的部門嘛那現在就是行政院長這樣講他一直在講好幾次講新核能啊那我的問題是如果核落核酸重啟在安全狀況下重啟它算不算新核能還是只能用那個小型的 |
transcript.whisperx[30].start |
752.165 |
transcript.whisperx[30].end |
772.782 |
transcript.whisperx[30].text |
只要看他維修的時候有沒有做一些新的改變院長是誰要問過你問過相關的部門才能夠這樣講吧因為我不是核能的專家也不是全職單位所以他不會問我所以你對於新核能這個定義你不清楚那你個人覺得如果是核二核三在安全的狀況下如果要重啟新的核能我的了解有很多新的技術在發展 |
transcript.whisperx[31].start |
773.883 |
transcript.whisperx[31].end |
793.229 |
transcript.whisperx[31].text |
除了 SMR 以外,事實上還有像 Bill Gates 投資的它是用氨然後去把輻射下降但它的新的危險是它比較容易爆炸這種新的技術還有在我們看到非常多合融合的技術在各個研究單位都在進行中所以這個就我們了解新的技術都還是 |
transcript.whisperx[32].start |
794.509 |
transcript.whisperx[32].end |
823.658 |
transcript.whisperx[32].text |
我個人是有一些了解所以你是贊成你也肯定這種比較安全這種小型核能對不對現在只是說它的成本真的很高我比較保守看小型核能我沒有贊成我比較保守看這件事你是比較保守的原因是很簡單那你的看法跟那個院長可能就不一樣了這個照不是委員想想看我們現在去設一個變電所的零幣設施的抗爭就很大了我們去設一個SMR在它幾乎是以社區為主的話其實那個抗爭是我們不知道 |
transcript.whisperx[33].start |
824.438 |
transcript.whisperx[33].end |
848.477 |
transcript.whisperx[33].text |
可行性高不高我覺得你認為這個小型這個核電還要再觀察就對了我是覺得保守看待他啦因為他要民眾能接受在我家附近那你要跟院長要再溝通一下因為他一直在強調用新核能嘛那只有兩種可能性嘛一種是你現在有疑慮的他認為要那到底是裡面有什麼問題要把它解釋清楚那第二個對民眾來講我到底什麼時候可以用到這所謂的新核能 |
transcript.whisperx[34].start |
848.917 |
transcript.whisperx[34].end |
869.604 |
transcript.whisperx[34].text |
是核二核三重啟啦還是你說的這個電廠一直在講的這個小型的好不好這個要努力最後問一個最關鍵的今天開始今天開始馬上好今天最關鍵的我們立法院的委員會已經開始在審這個要讓這個核電廠可以研議的或者重啟的今天開始公聽會已經開始了我要請教主委你的這個個人這個意見你贊不贊成 |
transcript.whisperx[35].start |
872.721 |
transcript.whisperx[35].end |
890.429 |
transcript.whisperx[35].text |
讓我們的核電廠如果在安全的狀況之下核二的一號機二號機核三廠的一號機可以重新啟動或者讓核三廠的二號機可以沿用你個人的意見是怎麼樣我個人因為對這個領域沒有那麼熟悉但是我尊重各種法律的意見 |
transcript.whisperx[36].start |
891.854 |
transcript.whisperx[36].end |
899.764 |
transcript.whisperx[36].text |
那個主委你是國家發展的領頭羊電力非常重要我今天用了很多的時間去講這個核電的對我們國家的這個發展它關係到穩定關係到電價可以不要漲 |
transcript.whisperx[37].start |
904.409 |
transcript.whisperx[37].end |
928.658 |
transcript.whisperx[37].text |
所以請國發會我建議這部分一定要不只是要關心要提出你們的規劃好不好好的我們來努力我記得國發會有責任4月1號能不能最近電價委員會馬上就要開了如果提到我們剛剛講的它會穩定來用便宜的核電連美國都開口了然後綠電趕快能夠賣出去的不要用高價買用低價去賣滿足我們的企業讓價格降下來只要解決核能跟 |
transcript.whisperx[38].start |
929.554 |
transcript.whisperx[38].end |
933.639 |
transcript.whisperx[38].text |
核能的問題還有綠電這個問題我們不只不用上架可以降價一起努力好不好謝謝好謝謝 |