IVOD_ID |
159611 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159611 |
日期 |
2025-03-26 |
會議資料.會議代碼 |
委員會-11-3-19-5 |
會議資料.會議代碼:str |
第11屆第3會期經濟委員會第5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 |
5 |
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5次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-03-26T10:10:52+08:00 |
結束時間 |
2025-03-26T10:21:16+08:00 |
影片長度 |
00:10:24 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/8cb7ec0b2cd1ea34048ce8439054e111280a1269ac70bedcde8218cd9f46c9a1f9bbaa56767decb95ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
楊瓊瓔 |
委員發言時間 |
10:10:52 - 10:21:16 |
會議時間 |
2025-03-26T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期經濟委員會第5次全體委員會議(事由:邀請農業部部長列席報告業務概況,並備質詢。【3月26日及27日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
3.13596875 |
transcript.pyannote[0].end |
5.78534375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
6.73034375 |
transcript.pyannote[1].end |
7.18596875 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
14.69534375 |
transcript.pyannote[2].end |
15.15096875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
15.30284375 |
transcript.pyannote[3].end |
22.08659375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
22.39034375 |
transcript.pyannote[4].end |
29.52846875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
29.59596875 |
transcript.pyannote[5].end |
44.09159375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
44.56409375 |
transcript.pyannote[6].end |
47.68596875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
48.02346875 |
transcript.pyannote[7].end |
64.02096875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
64.12221875 |
transcript.pyannote[8].end |
66.72096875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
67.02471875 |
transcript.pyannote[9].end |
77.65596875 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
77.77409375 |
transcript.pyannote[10].end |
121.44659375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
121.66596875 |
transcript.pyannote[11].end |
122.99909375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
123.42096875 |
transcript.pyannote[12].end |
128.39909375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
123.57284375 |
transcript.pyannote[13].end |
124.04534375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
128.31471875 |
transcript.pyannote[14].end |
148.26096875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
130.77846875 |
transcript.pyannote[15].end |
131.08221875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
138.62534375 |
transcript.pyannote[16].end |
139.03034375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
145.24034375 |
transcript.pyannote[17].end |
145.74659375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
145.88159375 |
transcript.pyannote[18].end |
146.35409375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
148.26096875 |
transcript.pyannote[19].end |
166.14846875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
166.57034375 |
transcript.pyannote[20].end |
168.27471875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
168.78096875 |
transcript.pyannote[21].end |
172.42596875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
172.61159375 |
transcript.pyannote[22].end |
174.23159375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
174.23159375 |
transcript.pyannote[23].end |
224.04659375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
185.55471875 |
transcript.pyannote[24].end |
185.62221875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
188.79471875 |
transcript.pyannote[25].end |
189.23346875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
189.68909375 |
transcript.pyannote[26].end |
190.11096875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
224.24909375 |
transcript.pyannote[27].end |
239.45346875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
239.70659375 |
transcript.pyannote[28].end |
241.49534375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
241.57971875 |
transcript.pyannote[29].end |
244.22909375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
244.93784375 |
transcript.pyannote[30].end |
259.90596875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
259.95659375 |
transcript.pyannote[31].end |
259.99034375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
260.17596875 |
transcript.pyannote[32].end |
267.93846875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
268.34346875 |
transcript.pyannote[33].end |
268.91721875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
269.27159375 |
transcript.pyannote[34].end |
271.46534375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
271.61721875 |
transcript.pyannote[35].end |
348.92159375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
349.27596875 |
transcript.pyannote[36].end |
356.27909375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
356.59971875 |
transcript.pyannote[37].end |
382.55346875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
382.84034375 |
transcript.pyannote[38].end |
383.11034375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
383.19471875 |
transcript.pyannote[39].end |
413.53596875 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
383.26221875 |
transcript.pyannote[40].end |
384.76409375 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
406.02659375 |
transcript.pyannote[41].end |
406.34721875 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
407.59596875 |
transcript.pyannote[42].end |
408.28784375 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
411.42659375 |
transcript.pyannote[43].end |
412.72596875 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
413.53596875 |
transcript.pyannote[44].end |
416.06721875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
413.75534375 |
transcript.pyannote[45].end |
417.06284375 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
417.06284375 |
transcript.pyannote[46].end |
426.66471875 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
426.69846875 |
transcript.pyannote[47].end |
433.48221875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
431.03534375 |
transcript.pyannote[48].end |
431.59221875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
432.21659375 |
transcript.pyannote[49].end |
434.91659375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
435.13596875 |
transcript.pyannote[50].end |
490.48596875 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
440.48534375 |
transcript.pyannote[51].end |
442.84784375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
490.53659375 |
transcript.pyannote[52].end |
511.32659375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
511.32659375 |
transcript.pyannote[53].end |
518.75159375 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
519.30846875 |
transcript.pyannote[54].end |
544.53659375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
519.49409375 |
transcript.pyannote[55].end |
520.32096875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
521.36721875 |
transcript.pyannote[56].end |
522.95346875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
525.85596875 |
transcript.pyannote[57].end |
528.55596875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
544.06409375 |
transcript.pyannote[58].end |
546.51096875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
546.81471875 |
transcript.pyannote[59].end |
554.71221875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
555.16784375 |
transcript.pyannote[60].end |
569.96721875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
570.50721875 |
transcript.pyannote[61].end |
577.34159375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
577.52721875 |
transcript.pyannote[62].end |
584.26034375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
584.66534375 |
transcript.pyannote[63].end |
589.67721875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
586.94346875 |
transcript.pyannote[64].end |
587.21346875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
588.64784375 |
transcript.pyannote[65].end |
598.19909375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
598.82346875 |
transcript.pyannote[66].end |
603.59909375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
603.22784375 |
transcript.pyannote[67].end |
603.56534375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
603.59909375 |
transcript.pyannote[68].end |
603.61596875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
603.61596875 |
transcript.pyannote[69].end |
603.64971875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
603.64971875 |
transcript.pyannote[70].end |
603.86909375 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
603.86909375 |
transcript.pyannote[71].end |
606.97409375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
604.89846875 |
transcript.pyannote[72].end |
618.53346875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
608.39159375 |
transcript.pyannote[73].end |
608.45909375 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
609.82596875 |
transcript.pyannote[74].end |
609.99471875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
619.07346875 |
transcript.pyannote[75].end |
619.12409375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
619.12409375 |
transcript.pyannote[76].end |
619.42784375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
619.42784375 |
transcript.pyannote[77].end |
619.63034375 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
619.63034375 |
transcript.pyannote[78].end |
620.91284375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
620.91284375 |
transcript.pyannote[79].end |
622.02659375 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
622.02659375 |
transcript.pyannote[80].end |
622.71846875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
622.48221875 |
transcript.pyannote[81].end |
622.75221875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
622.75221875 |
transcript.pyannote[82].end |
623.42721875 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
624.70971875 |
transcript.pyannote[83].end |
625.63784375 |