IVOD_ID |
160504 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160504 |
日期 |
2025-04-23 |
會議資料.會議代碼 |
委員會-11-3-19-10 |
會議資料.會議代碼:str |
第11屆第3會期經濟委員會第10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 |
10 |
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10次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-04-23T10:29:16+08:00 |
結束時間 |
2025-04-23T10:42:22+08:00 |
影片長度 |
00:13:06 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/27ac2f54fdf75cc09fee2b99226ebd907fe8c6252e35fc4a87b5e96e7cd6ee7242ffa54afed2a8c25ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
楊瓊瓔 |
委員發言時間 |
10:29:16 - 10:42:22 |
會議時間 |
2025-04-23T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期經濟委員會第10次全體委員會議(事由:邀請經濟部部長、國家發展委員會主任委員及衛生福利部首長就「美國實施進口產品國安調查對我國產業之影響及因應之道」進行報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
3.32159375 |
transcript.pyannote[0].end |
5.88659375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
6.13971875 |
transcript.pyannote[1].end |
7.20284375 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
7.20284375 |
transcript.pyannote[2].end |
7.35471875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
15.33659375 |
transcript.pyannote[3].end |
15.74159375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
16.01159375 |
transcript.pyannote[4].end |
16.51784375 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
16.99034375 |
transcript.pyannote[5].end |
19.70721875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
20.09534375 |
transcript.pyannote[6].end |
23.30159375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
23.75721875 |
transcript.pyannote[7].end |
58.72221875 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
58.90784375 |
transcript.pyannote[8].end |
59.31284375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
59.90346875 |
transcript.pyannote[9].end |
138.22034375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
138.47346875 |
transcript.pyannote[10].end |
149.15534375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
149.15534375 |
transcript.pyannote[11].end |
159.49971875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
160.17471875 |
transcript.pyannote[12].end |
169.06784375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
169.97909375 |
transcript.pyannote[13].end |
183.59721875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
183.59721875 |
transcript.pyannote[14].end |
186.93846875 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
186.29721875 |
transcript.pyannote[15].end |
196.40534375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
196.84409375 |
transcript.pyannote[16].end |
203.61096875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
203.96534375 |
transcript.pyannote[17].end |
213.92159375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
214.84971875 |
transcript.pyannote[18].end |
221.29596875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
221.59971875 |
transcript.pyannote[19].end |
223.74284375 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
222.02159375 |
transcript.pyannote[20].end |
222.88221875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
224.28284375 |
transcript.pyannote[21].end |
232.50096875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
226.07159375 |
transcript.pyannote[22].end |
226.45971875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
226.59471875 |
transcript.pyannote[23].end |
226.66221875 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
229.75034375 |
transcript.pyannote[24].end |
230.57721875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
231.67409375 |
transcript.pyannote[25].end |
233.24346875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
232.75409375 |
transcript.pyannote[26].end |
248.14409375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
247.40159375 |
transcript.pyannote[27].end |
248.34659375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
248.34659375 |
transcript.pyannote[28].end |
248.97096875 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
248.97096875 |
transcript.pyannote[29].end |
260.20971875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
256.26096875 |
transcript.pyannote[30].end |
256.63221875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
261.13784375 |
transcript.pyannote[31].end |
263.53409375 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
262.94346875 |
transcript.pyannote[32].end |
312.57284375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
312.85971875 |
transcript.pyannote[33].end |
316.80846875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
317.01096875 |
transcript.pyannote[34].end |
323.67659375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
323.91284375 |
transcript.pyannote[35].end |
332.01284375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
332.28284375 |
transcript.pyannote[36].end |
338.57721875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
339.15096875 |
transcript.pyannote[37].end |
345.79971875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
345.76596875 |
transcript.pyannote[38].end |
357.54471875 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
356.46471875 |
transcript.pyannote[39].end |
357.62909375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
358.03409375 |
transcript.pyannote[40].end |
362.70846875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
362.18534375 |
transcript.pyannote[41].end |
366.23534375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
365.22284375 |
transcript.pyannote[42].end |
365.98221875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
366.38721875 |
transcript.pyannote[43].end |
367.68659375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
367.51784375 |
transcript.pyannote[44].end |
368.96909375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
368.96909375 |
transcript.pyannote[45].end |
381.32159375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
369.03659375 |
transcript.pyannote[46].end |
369.45846875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
372.19221875 |
transcript.pyannote[47].end |
373.03596875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
373.18784375 |
transcript.pyannote[48].end |
373.23846875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
378.95909375 |
transcript.pyannote[49].end |
393.11721875 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
391.88534375 |
transcript.pyannote[50].end |
392.07096875 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
392.35784375 |
transcript.pyannote[51].end |
408.18659375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
398.77034375 |
transcript.pyannote[52].end |
399.42846875 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
408.50721875 |
transcript.pyannote[53].end |
413.36721875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
414.19409375 |
transcript.pyannote[54].end |
415.30784375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
415.61159375 |
transcript.pyannote[55].end |
425.61846875 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
426.04034375 |
transcript.pyannote[56].end |
427.84596875 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
428.28471875 |
transcript.pyannote[57].end |
430.44471875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
430.63034375 |
transcript.pyannote[58].end |
445.09221875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
445.09221875 |
transcript.pyannote[59].end |
453.04034375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
453.42846875 |
transcript.pyannote[60].end |
463.43534375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
463.65471875 |
transcript.pyannote[61].end |
476.12534375 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
467.45159375 |
transcript.pyannote[62].end |
468.05909375 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
470.55659375 |
transcript.pyannote[63].end |
472.10909375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
476.22659375 |
transcript.pyannote[64].end |
480.73221875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
480.73221875 |
transcript.pyannote[65].end |
499.04159375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
497.60721875 |
transcript.pyannote[66].end |
508.96409375 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
505.69034375 |
transcript.pyannote[67].end |
506.43284375 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
508.96409375 |
transcript.pyannote[68].end |
511.47846875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
512.40659375 |
transcript.pyannote[69].end |
519.71346875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
519.71346875 |
transcript.pyannote[70].end |
534.07409375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
534.27659375 |
transcript.pyannote[71].end |
546.03846875 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
546.03846875 |
transcript.pyannote[72].end |
546.39284375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
546.39284375 |
transcript.pyannote[73].end |
546.96659375 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
546.96659375 |
transcript.pyannote[74].end |
622.66784375 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
622.75221875 |
transcript.pyannote[75].end |
667.99409375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
667.99409375 |
transcript.pyannote[76].end |
672.11159375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
672.43221875 |
transcript.pyannote[77].end |
679.58721875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
678.18659375 |
transcript.pyannote[78].end |
682.00034375 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
681.73034375 |
transcript.pyannote[79].end |
697.17096875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
697.54221875 |
transcript.pyannote[80].end |
697.55909375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
697.55909375 |
transcript.pyannote[81].end |
697.99784375 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
698.53784375 |
transcript.pyannote[82].end |
699.73596875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
698.57159375 |
transcript.pyannote[83].end |
724.50846875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
724.89659375 |
transcript.pyannote[84].end |
749.75346875 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
750.02346875 |
transcript.pyannote[85].end |
760.04721875 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
754.20846875 |
transcript.pyannote[86].end |
755.55846875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
760.19909375 |
transcript.pyannote[87].end |
763.18596875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
763.50659375 |
transcript.pyannote[88].end |
768.94034375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
769.32846875 |
transcript.pyannote[89].end |
770.54346875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
771.28596875 |
transcript.pyannote[90].end |
775.03221875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
775.69034375 |
transcript.pyannote[91].end |
776.11221875 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
776.11221875 |
transcript.pyannote[92].end |
780.49971875 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
780.65159375 |
transcript.pyannote[93].end |
782.03534375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
782.40659375 |
transcript.pyannote[94].end |
785.00534375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
786.00096875 |
transcript.pyannote[95].end |
786.28784375 |