IVOD_ID |
159195 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159195 |
日期 |
2025-03-14 |
會議資料.會議代碼 |
院會-11-3-5 |
會議資料.會議代碼:str |
第11屆第3會期第5次會議 |
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 |
院會 |
會議資料.標題 |
第11屆第3會期第5次會議 |
影片種類 |
Clip |
開始時間 |
2025-03-14T16:32:01+08:00 |
結束時間 |
2025-03-14T17:02:34+08:00 |
影片長度 |
00:30:33 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/7c41c7866a52398afff2696bfa434fe6769f2953f6d3be09eefe5bd9de5002b17439805f15628b065ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
呂玉玲 |
委員發言時間 |
16:32:01 - 17:02:34 |
會議時間 |
2025-03-14T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第5次會議(事由:一、對行政院院長提出施政方針及施政報告繼續質詢。二、3月14日上午9時至10時為國是論壇時間。三、3月18日下午2時15分至2時30分為處理臨時提案時間。) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
3.45659375 |
transcript.pyannote[0].end |
5.00909375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
5.51534375 |
transcript.pyannote[1].end |
7.11846875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
16.48409375 |
transcript.pyannote[2].end |
16.55159375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
16.55159375 |
transcript.pyannote[3].end |
16.56846875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
16.56846875 |
transcript.pyannote[4].end |
17.24346875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
17.66534375 |
transcript.pyannote[5].end |
20.51721875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
21.07409375 |
transcript.pyannote[6].end |
46.55534375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
47.43284375 |
transcript.pyannote[7].end |
108.09846875 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
108.50346875 |
transcript.pyannote[8].end |
119.79284375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
120.63659375 |
transcript.pyannote[9].end |
121.22721875 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
121.83471875 |
transcript.pyannote[10].end |
123.04971875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
124.19721875 |
transcript.pyannote[11].end |
126.82971875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
127.65659375 |
transcript.pyannote[12].end |
129.00659375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
129.25971875 |
transcript.pyannote[13].end |
131.36909375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
131.43659375 |
transcript.pyannote[14].end |
133.54596875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
131.57159375 |
transcript.pyannote[15].end |
131.75721875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
133.81596875 |
transcript.pyannote[16].end |
138.20346875 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
138.32159375 |
transcript.pyannote[17].end |
138.94596875 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
139.31721875 |
transcript.pyannote[18].end |
141.19034375 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
141.47721875 |
transcript.pyannote[19].end |
149.77971875 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
150.28596875 |
transcript.pyannote[20].end |
155.53409375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
153.69471875 |
transcript.pyannote[21].end |
154.03221875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
154.03221875 |
transcript.pyannote[22].end |
154.45409375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
154.45409375 |
transcript.pyannote[23].end |
155.02784375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
155.02784375 |
transcript.pyannote[24].end |
155.51721875 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
155.53409375 |
transcript.pyannote[25].end |
155.90534375 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
155.90534375 |
transcript.pyannote[26].end |
155.93909375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
155.93909375 |
transcript.pyannote[27].end |
167.97096875 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
167.97096875 |
transcript.pyannote[28].end |
169.99596875 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
170.38409375 |
transcript.pyannote[29].end |
181.74096875 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
182.17971875 |
transcript.pyannote[30].end |
196.28721875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
191.02221875 |
transcript.pyannote[31].end |
193.45221875 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
196.28721875 |
transcript.pyannote[32].end |
200.72534375 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
200.72534375 |
transcript.pyannote[33].end |
201.43409375 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
201.72096875 |
transcript.pyannote[34].end |
205.78784375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
204.40409375 |
transcript.pyannote[35].end |
205.39971875 |
transcript.pyannote[36].speaker |
SPEAKER_02 |
transcript.pyannote[36].start |
206.20971875 |
transcript.pyannote[36].end |
206.53034375 |
transcript.pyannote[37].speaker |
SPEAKER_02 |
transcript.pyannote[37].start |
207.93096875 |
transcript.pyannote[37].end |
209.83784375 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
210.25971875 |
transcript.pyannote[38].end |
211.72784375 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
212.82471875 |
transcript.pyannote[39].end |
220.09784375 |
transcript.pyannote[40].speaker |
SPEAKER_05 |
transcript.pyannote[40].start |
216.75659375 |
transcript.pyannote[40].end |
217.61721875 |
transcript.pyannote[41].speaker |
SPEAKER_05 |
transcript.pyannote[41].start |
220.09784375 |
transcript.pyannote[41].end |
220.41846875 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
220.75596875 |
transcript.pyannote[42].end |
231.01596875 |
transcript.pyannote[43].speaker |
SPEAKER_05 |
transcript.pyannote[43].start |
221.88659375 |
transcript.pyannote[43].end |
223.94534375 |
transcript.pyannote[44].speaker |
SPEAKER_05 |
transcript.pyannote[44].start |
224.83971875 |
transcript.pyannote[44].end |
225.04221875 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
226.05471875 |
transcript.pyannote[45].end |
226.20659375 |
transcript.pyannote[46].speaker |
SPEAKER_05 |
transcript.pyannote[46].start |
226.20659375 |
transcript.pyannote[46].end |
226.35846875 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
226.35846875 |
transcript.pyannote[47].end |
226.39221875 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
231.10034375 |
transcript.pyannote[48].end |
231.47159375 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
231.77534375 |
transcript.pyannote[49].end |
233.22659375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
233.63159375 |
transcript.pyannote[50].end |
240.11159375 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
240.88784375 |
transcript.pyannote[51].end |
242.42346875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
243.06471875 |
transcript.pyannote[52].end |
261.03659375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
261.08721875 |
transcript.pyannote[53].end |
282.11346875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
282.46784375 |
transcript.pyannote[54].end |
283.91909375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
285.01596875 |
transcript.pyannote[55].end |
286.21409375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
286.21409375 |
transcript.pyannote[56].end |
286.23096875 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
287.09159375 |
transcript.pyannote[57].end |
288.03659375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
288.03659375 |
transcript.pyannote[58].end |
288.12096875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
288.12096875 |
transcript.pyannote[59].end |
288.28971875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
288.28971875 |
transcript.pyannote[60].end |
288.34034375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
289.09971875 |
transcript.pyannote[61].end |
289.13346875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
289.13346875 |
transcript.pyannote[62].end |
292.87971875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
289.16721875 |
transcript.pyannote[63].end |
290.36534375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
293.21721875 |
transcript.pyannote[64].end |
295.49534375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
295.90034375 |
transcript.pyannote[65].end |
296.96346875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
297.26721875 |
transcript.pyannote[66].end |
299.96721875 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
299.96721875 |
transcript.pyannote[67].end |
300.03471875 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
300.03471875 |
transcript.pyannote[68].end |
303.96659375 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
300.55784375 |
transcript.pyannote[69].end |
301.99221875 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
302.78534375 |
transcript.pyannote[70].end |
304.55721875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
304.55721875 |
transcript.pyannote[71].end |
304.74284375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
304.74284375 |
transcript.pyannote[72].end |
313.60221875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
313.95659375 |
transcript.pyannote[73].end |
334.99971875 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
335.18534375 |
transcript.pyannote[74].end |
336.33284375 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
336.99096875 |
transcript.pyannote[75].end |
337.42971875 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
338.03721875 |
transcript.pyannote[76].end |
338.45909375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
339.03284375 |
transcript.pyannote[77].end |
339.60659375 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
339.60659375 |
transcript.pyannote[78].end |
339.64034375 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
340.26471875 |
transcript.pyannote[79].end |
340.97346875 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
340.97346875 |
transcript.pyannote[80].end |
343.26846875 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
343.90971875 |
transcript.pyannote[81].end |
350.25471875 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
350.44034375 |
transcript.pyannote[82].end |
355.50284375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
352.92096875 |
transcript.pyannote[83].end |
355.38471875 |
transcript.pyannote[84].speaker |
SPEAKER_02 |
transcript.pyannote[84].start |
355.70534375 |
transcript.pyannote[84].end |
365.30721875 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
358.77659375 |
transcript.pyannote[85].end |
359.65409375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
364.31159375 |
transcript.pyannote[86].end |
374.04846875 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
374.06534375 |
transcript.pyannote[87].end |
377.67659375 |
transcript.pyannote[88].speaker |
SPEAKER_02 |
transcript.pyannote[88].start |
377.64284375 |
transcript.pyannote[88].end |
377.96346875 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
377.77784375 |
transcript.pyannote[89].end |
379.71846875 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
380.10659375 |
transcript.pyannote[90].end |
380.30909375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
380.30909375 |
transcript.pyannote[91].end |
380.35971875 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
380.69721875 |
transcript.pyannote[92].end |
384.07221875 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
384.20721875 |
transcript.pyannote[93].end |
393.47159375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
385.03409375 |
transcript.pyannote[94].end |
385.69221875 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
389.32034375 |
transcript.pyannote[95].end |
390.26534375 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
394.18034375 |
transcript.pyannote[96].end |
395.49659375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
395.49659375 |
transcript.pyannote[97].end |
395.81721875 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
395.81721875 |
transcript.pyannote[98].end |
396.03659375 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
396.03659375 |
transcript.pyannote[99].end |
396.47534375 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
396.47534375 |
transcript.pyannote[100].end |
402.02721875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
396.69471875 |
transcript.pyannote[101].end |
428.08221875 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
428.14971875 |
transcript.pyannote[102].end |
431.98034375 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
432.40221875 |
transcript.pyannote[103].end |
432.87471875 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
433.38096875 |
transcript.pyannote[104].end |
436.26659375 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
436.50284375 |
transcript.pyannote[105].end |
437.53221875 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
437.86971875 |
transcript.pyannote[106].end |
440.48534375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
440.85659375 |
transcript.pyannote[107].end |
443.65784375 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
444.09659375 |
transcript.pyannote[108].end |
445.69971875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
446.22284375 |
transcript.pyannote[109].end |
450.44159375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
450.47534375 |
transcript.pyannote[110].end |
452.34846875 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
452.66909375 |
transcript.pyannote[111].end |
456.73596875 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
454.57596875 |
transcript.pyannote[112].end |
454.87971875 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
455.36909375 |
transcript.pyannote[113].end |
503.36159375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
503.36159375 |
transcript.pyannote[114].end |
503.51346875 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
503.51346875 |
transcript.pyannote[115].end |
503.78346875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
503.78346875 |
transcript.pyannote[116].end |
509.79096875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
509.99346875 |
transcript.pyannote[117].end |
511.49534375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
511.66409375 |
transcript.pyannote[118].end |
514.02659375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
514.85346875 |
transcript.pyannote[119].end |
522.34596875 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
518.95409375 |
transcript.pyannote[120].end |
519.69659375 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
521.23221875 |
transcript.pyannote[121].end |
521.35034375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
523.13909375 |
transcript.pyannote[122].end |
525.41721875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
523.62846875 |
transcript.pyannote[123].end |
527.35784375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
525.80534375 |
transcript.pyannote[124].end |
529.53471875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
530.37846875 |
transcript.pyannote[125].end |
532.79159375 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
532.97721875 |
transcript.pyannote[126].end |
535.17096875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
535.62659375 |
transcript.pyannote[127].end |
556.14659375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
556.33221875 |
transcript.pyannote[128].end |
557.74971875 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
558.34034375 |
transcript.pyannote[129].end |
560.16284375 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
558.79596875 |
transcript.pyannote[130].end |
559.26846875 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
560.28096875 |
transcript.pyannote[131].end |
564.06096875 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
564.66846875 |
transcript.pyannote[132].end |
574.96221875 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
565.30971875 |
transcript.pyannote[133].end |
565.86659375 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
571.84034375 |
transcript.pyannote[134].end |
574.42221875 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
574.96221875 |
transcript.pyannote[135].end |
576.02534375 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
576.02534375 |
transcript.pyannote[136].end |
580.00784375 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
576.81846875 |
transcript.pyannote[137].end |
577.20659375 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
578.10096875 |
transcript.pyannote[138].end |
579.06284375 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
580.22721875 |
transcript.pyannote[139].end |
580.93596875 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
581.34096875 |
transcript.pyannote[140].end |
582.28596875 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
582.70784375 |
transcript.pyannote[141].end |
584.85096875 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
585.15471875 |
transcript.pyannote[142].end |
588.10784375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
588.31034375 |
transcript.pyannote[143].end |
592.30971875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
592.30971875 |
transcript.pyannote[144].end |
592.39409375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
592.39409375 |
transcript.pyannote[145].end |
592.41096875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
592.41096875 |
transcript.pyannote[146].end |
609.62346875 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
592.52909375 |
transcript.pyannote[147].end |
592.57971875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
592.59659375 |
transcript.pyannote[148].end |
592.64721875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
607.78409375 |
transcript.pyannote[149].end |
616.66034375 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
609.94409375 |
transcript.pyannote[150].end |
610.48409375 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
614.39909375 |
transcript.pyannote[151].end |
622.21221875 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
622.76909375 |
transcript.pyannote[152].end |
628.57409375 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
627.54471875 |
transcript.pyannote[153].end |
631.56096875 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
630.53159375 |
transcript.pyannote[154].end |
641.26409375 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
640.60596875 |
transcript.pyannote[155].end |
647.57534375 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
645.92159375 |
transcript.pyannote[156].end |
647.38971875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
647.57534375 |
transcript.pyannote[157].end |
717.80909375 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
718.34909375 |
transcript.pyannote[158].end |
719.56409375 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
719.56409375 |
transcript.pyannote[159].end |
733.62096875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
734.27909375 |
transcript.pyannote[160].end |
758.02221875 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
758.41034375 |
transcript.pyannote[161].end |
760.62096875 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
760.92471875 |
transcript.pyannote[162].end |
761.98784375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
762.19034375 |
transcript.pyannote[163].end |
765.21096875 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
765.68346875 |
transcript.pyannote[164].end |
767.91096875 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
768.31596875 |
transcript.pyannote[165].end |
772.41659375 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
773.39534375 |
transcript.pyannote[166].end |
777.41159375 |
transcript.pyannote[167].speaker |
SPEAKER_04 |
transcript.pyannote[167].start |
777.66471875 |
transcript.pyannote[167].end |
782.11971875 |
transcript.pyannote[168].speaker |
SPEAKER_04 |
transcript.pyannote[168].start |
782.57534375 |
transcript.pyannote[168].end |
790.59096875 |
transcript.pyannote[169].speaker |
SPEAKER_04 |
transcript.pyannote[169].start |
790.91159375 |
transcript.pyannote[169].end |
794.55659375 |
transcript.pyannote[170].speaker |
SPEAKER_04 |
transcript.pyannote[170].start |
794.80971875 |
transcript.pyannote[170].end |
807.83721875 |
transcript.pyannote[171].speaker |
SPEAKER_04 |
transcript.pyannote[171].start |
808.32659375 |
transcript.pyannote[171].end |
812.98409375 |
transcript.pyannote[172].speaker |
SPEAKER_04 |
transcript.pyannote[172].start |
813.72659375 |
transcript.pyannote[172].end |
817.74284375 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
814.62096875 |
transcript.pyannote[173].end |
815.22846875 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
816.02159375 |
transcript.pyannote[174].end |
816.74721875 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
817.15221875 |
transcript.pyannote[175].end |
825.04971875 |
transcript.pyannote[176].speaker |
SPEAKER_04 |
transcript.pyannote[176].start |
821.18534375 |
transcript.pyannote[176].end |
824.77971875 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
825.23534375 |
transcript.pyannote[177].end |
828.94784375 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
829.92659375 |
transcript.pyannote[178].end |
848.42159375 |
transcript.pyannote[179].speaker |
SPEAKER_04 |
transcript.pyannote[179].start |
842.58284375 |
transcript.pyannote[179].end |
842.73471875 |
transcript.pyannote[180].speaker |
SPEAKER_05 |
transcript.pyannote[180].start |
842.73471875 |
transcript.pyannote[180].end |
842.97096875 |
transcript.pyannote[181].speaker |
SPEAKER_04 |
transcript.pyannote[181].start |
842.97096875 |
transcript.pyannote[181].end |
846.73409375 |
transcript.pyannote[182].speaker |
SPEAKER_04 |
transcript.pyannote[182].start |
846.78471875 |
transcript.pyannote[182].end |
846.97034375 |
transcript.pyannote[183].speaker |
SPEAKER_04 |
transcript.pyannote[183].start |
846.98721875 |
transcript.pyannote[183].end |
859.27221875 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
859.23846875 |
transcript.pyannote[184].end |
863.82846875 |
transcript.pyannote[185].speaker |
SPEAKER_04 |
transcript.pyannote[185].start |
863.82846875 |
transcript.pyannote[185].end |
863.91284375 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
863.91284375 |
transcript.pyannote[186].end |
863.98034375 |
transcript.pyannote[187].speaker |
SPEAKER_04 |
transcript.pyannote[187].start |
863.98034375 |
transcript.pyannote[187].end |
864.25034375 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
864.25034375 |
transcript.pyannote[188].end |
864.31784375 |
transcript.pyannote[189].speaker |
SPEAKER_04 |
transcript.pyannote[189].start |
864.31784375 |
transcript.pyannote[189].end |
869.16096875 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
869.16096875 |
transcript.pyannote[190].end |
880.80471875 |
transcript.pyannote[191].speaker |
SPEAKER_04 |
transcript.pyannote[191].start |
872.14784375 |
transcript.pyannote[191].end |
875.05034375 |
transcript.pyannote[192].speaker |
SPEAKER_04 |
transcript.pyannote[192].start |
876.60284375 |
transcript.pyannote[192].end |
876.87284375 |
transcript.pyannote[193].speaker |
SPEAKER_04 |
transcript.pyannote[193].start |
877.96971875 |
transcript.pyannote[193].end |
884.26409375 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
880.82159375 |
transcript.pyannote[194].end |
880.92284375 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
880.97346875 |
transcript.pyannote[195].end |
883.20096875 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
884.95596875 |
transcript.pyannote[196].end |
890.49096875 |
transcript.pyannote[197].speaker |
SPEAKER_04 |
transcript.pyannote[197].start |
891.06471875 |
transcript.pyannote[197].end |
897.20721875 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
894.22034375 |
transcript.pyannote[198].end |
895.97534375 |
transcript.pyannote[199].speaker |
SPEAKER_00 |
transcript.pyannote[199].start |
895.97534375 |
transcript.pyannote[199].end |
896.17784375 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
896.17784375 |
transcript.pyannote[200].end |
896.19471875 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
896.46471875 |
transcript.pyannote[201].end |
897.08909375 |
transcript.pyannote[202].speaker |
SPEAKER_04 |
transcript.pyannote[202].start |
897.64596875 |
transcript.pyannote[202].end |
906.53909375 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
897.71346875 |
transcript.pyannote[203].end |
899.97471875 |
transcript.pyannote[204].speaker |
SPEAKER_05 |
transcript.pyannote[204].start |
899.97471875 |
transcript.pyannote[204].end |
900.26159375 |
transcript.pyannote[205].speaker |
SPEAKER_04 |
transcript.pyannote[205].start |
907.77096875 |
transcript.pyannote[205].end |
911.95596875 |
transcript.pyannote[206].speaker |
SPEAKER_04 |
transcript.pyannote[206].start |
911.97284375 |
transcript.pyannote[206].end |
942.22971875 |
transcript.pyannote[207].speaker |
SPEAKER_05 |
transcript.pyannote[207].start |
914.58846875 |
transcript.pyannote[207].end |
914.97659375 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
914.97659375 |
transcript.pyannote[208].end |
915.63471875 |
transcript.pyannote[209].speaker |
SPEAKER_00 |
transcript.pyannote[209].start |
917.01846875 |
transcript.pyannote[209].end |
918.33471875 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
922.31721875 |
transcript.pyannote[210].end |
923.11034375 |
transcript.pyannote[211].speaker |
SPEAKER_04 |
transcript.pyannote[211].start |
942.82034375 |
transcript.pyannote[211].end |
944.01846875 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
943.03971875 |
transcript.pyannote[212].end |
943.57971875 |
transcript.pyannote[213].speaker |
SPEAKER_01 |
transcript.pyannote[213].start |
943.91721875 |
transcript.pyannote[213].end |
944.49096875 |
transcript.pyannote[214].speaker |
SPEAKER_01 |
transcript.pyannote[214].start |
944.77784375 |
transcript.pyannote[214].end |
945.85784375 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
946.02659375 |
transcript.pyannote[215].end |
949.73909375 |
transcript.pyannote[216].speaker |
SPEAKER_01 |
transcript.pyannote[216].start |
950.31284375 |
transcript.pyannote[216].end |
951.03846875 |
transcript.pyannote[217].speaker |
SPEAKER_01 |
transcript.pyannote[217].start |
952.08471875 |
transcript.pyannote[217].end |
955.94909375 |
transcript.pyannote[218].speaker |
SPEAKER_04 |
transcript.pyannote[218].start |
953.18159375 |
transcript.pyannote[218].end |
953.41784375 |
transcript.pyannote[219].speaker |
SPEAKER_04 |
transcript.pyannote[219].start |
953.62034375 |
transcript.pyannote[219].end |
955.93221875 |
transcript.pyannote[220].speaker |
SPEAKER_04 |
transcript.pyannote[220].start |
955.94909375 |
transcript.pyannote[220].end |
956.25284375 |
transcript.pyannote[221].speaker |
SPEAKER_01 |
transcript.pyannote[221].start |
956.25284375 |
transcript.pyannote[221].end |
957.85596875 |
transcript.pyannote[222].speaker |
SPEAKER_04 |
transcript.pyannote[222].start |
957.53534375 |
transcript.pyannote[222].end |
957.87284375 |
transcript.pyannote[223].speaker |
SPEAKER_01 |
transcript.pyannote[223].start |
957.87284375 |
transcript.pyannote[223].end |
957.97409375 |
transcript.pyannote[224].speaker |
SPEAKER_04 |
transcript.pyannote[224].start |
957.97409375 |
transcript.pyannote[224].end |
974.20784375 |
transcript.pyannote[225].speaker |
SPEAKER_01 |
transcript.pyannote[225].start |
973.83659375 |
transcript.pyannote[225].end |
984.65346875 |
transcript.pyannote[226].speaker |
SPEAKER_00 |
transcript.pyannote[226].start |
986.07096875 |
transcript.pyannote[226].end |
989.07471875 |
transcript.pyannote[227].speaker |
SPEAKER_01 |
transcript.pyannote[227].start |
988.50096875 |
transcript.pyannote[227].end |
989.91846875 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
990.30659375 |
transcript.pyannote[228].end |
997.68096875 |
transcript.pyannote[229].speaker |
SPEAKER_04 |
transcript.pyannote[229].start |
995.97659375 |
transcript.pyannote[229].end |
1009.47659375 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
999.40221875 |
transcript.pyannote[230].end |
1001.03909375 |
transcript.pyannote[231].speaker |
SPEAKER_00 |
transcript.pyannote[231].start |
1001.03909375 |
transcript.pyannote[231].end |
1001.59596875 |
transcript.pyannote[232].speaker |
SPEAKER_01 |
transcript.pyannote[232].start |
1001.59596875 |
transcript.pyannote[232].end |
1001.76471875 |
transcript.pyannote[233].speaker |
SPEAKER_00 |
transcript.pyannote[233].start |
1001.76471875 |
transcript.pyannote[233].end |
1002.59159375 |
transcript.pyannote[234].speaker |
SPEAKER_05 |
transcript.pyannote[234].start |
1002.59159375 |
transcript.pyannote[234].end |
1002.60846875 |
transcript.pyannote[235].speaker |
SPEAKER_05 |
transcript.pyannote[235].start |
1003.09784375 |
transcript.pyannote[235].end |
1003.14846875 |
transcript.pyannote[236].speaker |
SPEAKER_00 |
transcript.pyannote[236].start |
1003.14846875 |
transcript.pyannote[236].end |
1004.38034375 |
transcript.pyannote[237].speaker |
SPEAKER_00 |
transcript.pyannote[237].start |
1005.25784375 |
transcript.pyannote[237].end |
1005.76409375 |
transcript.pyannote[238].speaker |
SPEAKER_04 |
transcript.pyannote[238].start |
1010.20221875 |
transcript.pyannote[238].end |
1025.69346875 |
transcript.pyannote[239].speaker |
SPEAKER_01 |
transcript.pyannote[239].start |
1023.78659375 |
transcript.pyannote[239].end |
1043.02409375 |
transcript.pyannote[240].speaker |
SPEAKER_04 |
transcript.pyannote[240].start |
1039.75034375 |
transcript.pyannote[240].end |
1046.93909375 |
transcript.pyannote[241].speaker |
SPEAKER_00 |
transcript.pyannote[241].start |
1046.17971875 |
transcript.pyannote[241].end |
1055.08971875 |
transcript.pyannote[242].speaker |
SPEAKER_01 |
transcript.pyannote[242].start |
1054.11096875 |
transcript.pyannote[242].end |
1060.97909375 |
transcript.pyannote[243].speaker |
SPEAKER_01 |
transcript.pyannote[243].start |
1061.67096875 |
transcript.pyannote[243].end |
1067.88096875 |
transcript.pyannote[244].speaker |
SPEAKER_01 |
transcript.pyannote[244].start |
1068.08346875 |
transcript.pyannote[244].end |
1070.76659375 |
transcript.pyannote[245].speaker |
SPEAKER_01 |
transcript.pyannote[245].start |
1071.07034375 |
transcript.pyannote[245].end |
1071.61034375 |
transcript.pyannote[246].speaker |
SPEAKER_01 |
transcript.pyannote[246].start |
1072.08284375 |
transcript.pyannote[246].end |
1072.33596875 |
transcript.pyannote[247].speaker |
SPEAKER_01 |
transcript.pyannote[247].start |
1072.65659375 |
transcript.pyannote[247].end |
1099.48784375 |
transcript.pyannote[248].speaker |
SPEAKER_00 |
transcript.pyannote[248].start |
1099.48784375 |
transcript.pyannote[248].end |
1111.40159375 |
transcript.pyannote[249].speaker |
SPEAKER_01 |
transcript.pyannote[249].start |
1099.50471875 |
transcript.pyannote[249].end |
1102.57596875 |
transcript.pyannote[250].speaker |
SPEAKER_01 |
transcript.pyannote[250].start |
1102.59284375 |
transcript.pyannote[250].end |
1103.26784375 |
transcript.pyannote[251].speaker |
SPEAKER_01 |
transcript.pyannote[251].start |
1106.37284375 |
transcript.pyannote[251].end |
1106.77784375 |
transcript.pyannote[252].speaker |
SPEAKER_01 |
transcript.pyannote[252].start |
1107.68909375 |
transcript.pyannote[252].end |
1117.17284375 |
transcript.pyannote[253].speaker |
SPEAKER_00 |
transcript.pyannote[253].start |
1115.92409375 |
transcript.pyannote[253].end |
1118.74221875 |
transcript.pyannote[254].speaker |
SPEAKER_01 |
transcript.pyannote[254].start |
1118.21909375 |
transcript.pyannote[254].end |
1118.33721875 |
transcript.pyannote[255].speaker |
SPEAKER_01 |
transcript.pyannote[255].start |
1118.55659375 |
transcript.pyannote[255].end |
1121.03721875 |
transcript.pyannote[256].speaker |
SPEAKER_00 |
transcript.pyannote[256].start |
1121.03721875 |
transcript.pyannote[256].end |
1121.83034375 |
transcript.pyannote[257].speaker |
SPEAKER_01 |
transcript.pyannote[257].start |
1121.83034375 |
transcript.pyannote[257].end |
1121.96534375 |
transcript.pyannote[258].speaker |
SPEAKER_00 |
transcript.pyannote[258].start |
1121.96534375 |
transcript.pyannote[258].end |
1127.43284375 |
transcript.pyannote[259].speaker |
SPEAKER_04 |
transcript.pyannote[259].start |
1123.75409375 |
transcript.pyannote[259].end |
1125.44159375 |
transcript.pyannote[260].speaker |
SPEAKER_04 |
transcript.pyannote[260].start |
1126.94346875 |
transcript.pyannote[260].end |
1147.41284375 |
transcript.pyannote[261].speaker |
SPEAKER_01 |
transcript.pyannote[261].start |
1145.84346875 |
transcript.pyannote[261].end |
1146.01221875 |
transcript.pyannote[262].speaker |
SPEAKER_01 |
transcript.pyannote[262].start |
1146.55221875 |
transcript.pyannote[262].end |
1150.06221875 |
transcript.pyannote[263].speaker |
SPEAKER_04 |
transcript.pyannote[263].start |
1150.06221875 |
transcript.pyannote[263].end |
1153.97721875 |
transcript.pyannote[264].speaker |
SPEAKER_01 |
transcript.pyannote[264].start |
1151.49659375 |
transcript.pyannote[264].end |
1174.46346875 |
transcript.pyannote[265].speaker |
SPEAKER_04 |
transcript.pyannote[265].start |
1158.34784375 |
transcript.pyannote[265].end |
1158.38159375 |
transcript.pyannote[266].speaker |
SPEAKER_05 |
transcript.pyannote[266].start |
1158.38159375 |
transcript.pyannote[266].end |
1159.66409375 |
transcript.pyannote[267].speaker |
SPEAKER_01 |
transcript.pyannote[267].start |
1174.98659375 |
transcript.pyannote[267].end |
1219.70534375 |
transcript.pyannote[268].speaker |
SPEAKER_01 |
transcript.pyannote[268].start |
1220.34659375 |
transcript.pyannote[268].end |
1221.47721875 |
transcript.pyannote[269].speaker |
SPEAKER_01 |
transcript.pyannote[269].start |
1221.94971875 |
transcript.pyannote[269].end |
1225.00409375 |
transcript.pyannote[270].speaker |
SPEAKER_01 |
transcript.pyannote[270].start |
1225.56096875 |
transcript.pyannote[270].end |
1232.24346875 |
transcript.pyannote[271].speaker |
SPEAKER_01 |
transcript.pyannote[271].start |
1232.41221875 |
transcript.pyannote[271].end |
1262.46659375 |
transcript.pyannote[272].speaker |
SPEAKER_01 |
transcript.pyannote[272].start |
1263.37784375 |
transcript.pyannote[272].end |
1263.86721875 |
transcript.pyannote[273].speaker |
SPEAKER_01 |
transcript.pyannote[273].start |
1264.54221875 |
transcript.pyannote[273].end |
1284.85971875 |
transcript.pyannote[274].speaker |
SPEAKER_04 |
transcript.pyannote[274].start |
1284.91034375 |
transcript.pyannote[274].end |
1303.89471875 |
transcript.pyannote[275].speaker |
SPEAKER_04 |
transcript.pyannote[275].start |
1303.96221875 |
transcript.pyannote[275].end |
1337.30721875 |
transcript.pyannote[276].speaker |
SPEAKER_00 |
transcript.pyannote[276].start |
1314.62721875 |
transcript.pyannote[276].end |
1314.64409375 |
transcript.pyannote[277].speaker |
SPEAKER_01 |
transcript.pyannote[277].start |
1314.64409375 |
transcript.pyannote[277].end |
1317.66471875 |
transcript.pyannote[278].speaker |
SPEAKER_00 |
transcript.pyannote[278].start |
1317.66471875 |
transcript.pyannote[278].end |
1318.50846875 |
transcript.pyannote[279].speaker |
SPEAKER_01 |
transcript.pyannote[279].start |
1319.38596875 |
transcript.pyannote[279].end |
1319.67284375 |
transcript.pyannote[280].speaker |
SPEAKER_00 |
transcript.pyannote[280].start |
1319.67284375 |
transcript.pyannote[280].end |
1319.74034375 |
transcript.pyannote[281].speaker |
SPEAKER_00 |
transcript.pyannote[281].start |
1319.77409375 |
transcript.pyannote[281].end |
1319.82471875 |
transcript.pyannote[282].speaker |
SPEAKER_01 |
transcript.pyannote[282].start |
1319.82471875 |
transcript.pyannote[282].end |
1319.99346875 |
transcript.pyannote[283].speaker |
SPEAKER_00 |
transcript.pyannote[283].start |
1319.99346875 |
transcript.pyannote[283].end |
1320.02721875 |
transcript.pyannote[284].speaker |
SPEAKER_00 |
transcript.pyannote[284].start |
1320.38159375 |
transcript.pyannote[284].end |
1320.46596875 |
transcript.pyannote[285].speaker |
SPEAKER_01 |
transcript.pyannote[285].start |
1320.46596875 |
transcript.pyannote[285].end |
1324.51596875 |
transcript.pyannote[286].speaker |
SPEAKER_01 |
transcript.pyannote[286].start |
1325.84909375 |
transcript.pyannote[286].end |
1326.05159375 |
transcript.pyannote[287].speaker |
SPEAKER_01 |
transcript.pyannote[287].start |
1326.65909375 |
transcript.pyannote[287].end |
1326.92909375 |
transcript.pyannote[288].speaker |
SPEAKER_01 |
transcript.pyannote[288].start |
1326.94596875 |
transcript.pyannote[288].end |
1326.96284375 |
transcript.pyannote[289].speaker |
SPEAKER_01 |
transcript.pyannote[289].start |
1327.14846875 |
transcript.pyannote[289].end |
1327.18221875 |
transcript.pyannote[290].speaker |
SPEAKER_01 |
transcript.pyannote[290].start |
1327.21596875 |
transcript.pyannote[290].end |
1327.26659375 |
transcript.pyannote[291].speaker |
SPEAKER_01 |
transcript.pyannote[291].start |
1327.38471875 |
transcript.pyannote[291].end |
1330.40534375 |
transcript.pyannote[292].speaker |
SPEAKER_01 |
transcript.pyannote[292].start |
1333.96596875 |
transcript.pyannote[292].end |
1366.85534375 |
transcript.pyannote[293].speaker |
SPEAKER_04 |
transcript.pyannote[293].start |
1337.66159375 |
transcript.pyannote[293].end |
1338.97784375 |
transcript.pyannote[294].speaker |
SPEAKER_04 |
transcript.pyannote[294].start |
1338.99471875 |
transcript.pyannote[294].end |
1339.43346875 |
transcript.pyannote[295].speaker |
SPEAKER_04 |
transcript.pyannote[295].start |
1367.12534375 |
transcript.pyannote[295].end |
1374.41534375 |
transcript.pyannote[296].speaker |
SPEAKER_01 |
transcript.pyannote[296].start |
1373.31846875 |
transcript.pyannote[296].end |
1373.95971875 |
transcript.pyannote[297].speaker |
SPEAKER_01 |
transcript.pyannote[297].start |
1374.09471875 |
transcript.pyannote[297].end |
1374.31409375 |
transcript.pyannote[298].speaker |
SPEAKER_01 |
transcript.pyannote[298].start |
1374.41534375 |
transcript.pyannote[298].end |
1380.54096875 |
transcript.pyannote[299].speaker |
SPEAKER_04 |
transcript.pyannote[299].start |
1380.45659375 |
transcript.pyannote[299].end |
1397.26409375 |
transcript.pyannote[300].speaker |
SPEAKER_01 |
transcript.pyannote[300].start |
1393.88909375 |
transcript.pyannote[300].end |
1394.24346875 |
transcript.pyannote[301].speaker |
SPEAKER_01 |
transcript.pyannote[301].start |
1394.68221875 |
transcript.pyannote[301].end |
1396.03221875 |
transcript.pyannote[302].speaker |
SPEAKER_01 |
transcript.pyannote[302].start |
1397.26409375 |
transcript.pyannote[302].end |
1400.50409375 |
transcript.pyannote[303].speaker |
SPEAKER_04 |
transcript.pyannote[303].start |
1397.34846875 |
transcript.pyannote[303].end |
1397.93909375 |
transcript.pyannote[304].speaker |
SPEAKER_04 |
transcript.pyannote[304].start |
1401.19596875 |
transcript.pyannote[304].end |
1401.56721875 |
transcript.pyannote[305].speaker |
SPEAKER_01 |
transcript.pyannote[305].start |
1401.56721875 |
transcript.pyannote[305].end |
1404.82409375 |
transcript.pyannote[306].speaker |
SPEAKER_01 |
transcript.pyannote[306].start |
1405.53284375 |
transcript.pyannote[306].end |
1408.67159375 |
transcript.pyannote[307].speaker |
SPEAKER_01 |
transcript.pyannote[307].start |
1409.22846875 |
transcript.pyannote[307].end |
1424.29784375 |
transcript.pyannote[308].speaker |
SPEAKER_01 |
transcript.pyannote[308].start |
1424.71971875 |
transcript.pyannote[308].end |
1430.03534375 |
transcript.pyannote[309].speaker |
SPEAKER_01 |
transcript.pyannote[309].start |
1430.13659375 |
transcript.pyannote[309].end |
1452.85034375 |
transcript.pyannote[310].speaker |
SPEAKER_01 |
transcript.pyannote[310].start |
1452.96846875 |
transcript.pyannote[310].end |
1456.36034375 |
transcript.pyannote[311].speaker |
SPEAKER_04 |
transcript.pyannote[311].start |
1456.63034375 |
transcript.pyannote[311].end |
1462.28346875 |
transcript.pyannote[312].speaker |
SPEAKER_04 |
transcript.pyannote[312].start |
1462.67159375 |
transcript.pyannote[312].end |
1466.40096875 |
transcript.pyannote[313].speaker |
SPEAKER_01 |
transcript.pyannote[313].start |
1464.17346875 |
transcript.pyannote[313].end |
1465.33784375 |
transcript.pyannote[314].speaker |
SPEAKER_01 |
transcript.pyannote[314].start |
1465.48971875 |
transcript.pyannote[314].end |
1470.97409375 |
transcript.pyannote[315].speaker |
SPEAKER_04 |
transcript.pyannote[315].start |
1468.51034375 |
transcript.pyannote[315].end |
1468.74659375 |
transcript.pyannote[316].speaker |
SPEAKER_04 |
transcript.pyannote[316].start |
1469.53971875 |
transcript.pyannote[316].end |
1475.41221875 |
transcript.pyannote[317].speaker |
SPEAKER_01 |
transcript.pyannote[317].start |
1473.16784375 |
transcript.pyannote[317].end |
1481.01471875 |
transcript.pyannote[318].speaker |
SPEAKER_04 |
transcript.pyannote[318].start |
1475.56409375 |
transcript.pyannote[318].end |
1478.65221875 |
transcript.pyannote[319].speaker |
SPEAKER_04 |
transcript.pyannote[319].start |
1480.12034375 |
transcript.pyannote[319].end |
1499.81346875 |
transcript.pyannote[320].speaker |
SPEAKER_01 |
transcript.pyannote[320].start |
1491.37596875 |
transcript.pyannote[320].end |
1506.00659375 |
transcript.pyannote[321].speaker |
SPEAKER_04 |
transcript.pyannote[321].start |
1506.00659375 |
transcript.pyannote[321].end |
1506.96846875 |
transcript.pyannote[322].speaker |
SPEAKER_01 |
transcript.pyannote[322].start |
1506.37784375 |
transcript.pyannote[322].end |
1509.98909375 |
transcript.pyannote[323].speaker |
SPEAKER_01 |
transcript.pyannote[323].start |
1510.51221875 |
transcript.pyannote[323].end |
1518.19034375 |
transcript.pyannote[324].speaker |
SPEAKER_04 |
transcript.pyannote[324].start |
1510.52909375 |
transcript.pyannote[324].end |
1510.96784375 |
transcript.pyannote[325].speaker |
SPEAKER_02 |
transcript.pyannote[325].start |
1510.96784375 |
transcript.pyannote[325].end |
1514.25846875 |
transcript.pyannote[326].speaker |
SPEAKER_02 |
transcript.pyannote[326].start |
1515.38909375 |
transcript.pyannote[326].end |
1516.87409375 |
transcript.pyannote[327].speaker |
SPEAKER_01 |
transcript.pyannote[327].start |
1519.15221875 |
transcript.pyannote[327].end |
1520.62034375 |
transcript.pyannote[328].speaker |
SPEAKER_01 |
transcript.pyannote[328].start |
1520.67096875 |
transcript.pyannote[328].end |
1522.07159375 |
transcript.pyannote[329].speaker |
SPEAKER_01 |
transcript.pyannote[329].start |
1522.39221875 |
transcript.pyannote[329].end |
1524.04596875 |
transcript.pyannote[330].speaker |
SPEAKER_01 |
transcript.pyannote[330].start |
1524.19784375 |
transcript.pyannote[330].end |
1536.95534375 |
transcript.pyannote[331].speaker |
SPEAKER_00 |
transcript.pyannote[331].start |
1534.67721875 |
transcript.pyannote[331].end |
1539.65534375 |
transcript.pyannote[332].speaker |
SPEAKER_01 |
transcript.pyannote[332].start |
1539.03096875 |
transcript.pyannote[332].end |
1539.16596875 |
transcript.pyannote[333].speaker |
SPEAKER_01 |
transcript.pyannote[333].start |
1539.80721875 |
transcript.pyannote[333].end |
1543.13159375 |
transcript.pyannote[334].speaker |
SPEAKER_01 |
transcript.pyannote[334].start |
1543.31721875 |
transcript.pyannote[334].end |
1546.45596875 |
transcript.pyannote[335].speaker |
SPEAKER_01 |
transcript.pyannote[335].start |
1547.83971875 |
transcript.pyannote[335].end |
1608.55596875 |
transcript.pyannote[336].speaker |
SPEAKER_01 |
transcript.pyannote[336].start |
1608.84284375 |
transcript.pyannote[336].end |
1734.30846875 |
transcript.pyannote[337].speaker |
SPEAKER_03 |
transcript.pyannote[337].start |
1733.88659375 |
transcript.pyannote[337].end |
1735.03409375 |
transcript.pyannote[338].speaker |
SPEAKER_03 |
transcript.pyannote[338].start |
1735.16909375 |
transcript.pyannote[338].end |
1763.26596875 |
transcript.pyannote[339].speaker |
SPEAKER_03 |
transcript.pyannote[339].start |
1763.53596875 |
transcript.pyannote[339].end |
1765.99971875 |
transcript.pyannote[340].speaker |
SPEAKER_01 |
transcript.pyannote[340].start |
1766.69159375 |
transcript.pyannote[340].end |
1767.09659375 |
transcript.pyannote[341].speaker |
SPEAKER_01 |
transcript.pyannote[341].start |
1767.90659375 |
transcript.pyannote[341].end |
1769.29034375 |
transcript.pyannote[342].speaker |
SPEAKER_01 |
transcript.pyannote[342].start |
1769.72909375 |
transcript.pyannote[342].end |
1771.61909375 |
transcript.pyannote[343].speaker |
SPEAKER_01 |
transcript.pyannote[343].start |
1772.02409375 |
transcript.pyannote[343].end |
1773.25596875 |
transcript.pyannote[344].speaker |
SPEAKER_01 |
transcript.pyannote[344].start |
1773.79596875 |
transcript.pyannote[344].end |
1774.53846875 |
transcript.pyannote[345].speaker |
SPEAKER_01 |
transcript.pyannote[345].start |
1774.94346875 |
transcript.pyannote[345].end |
1775.92221875 |
transcript.pyannote[346].speaker |
SPEAKER_01 |
transcript.pyannote[346].start |
1776.39471875 |
transcript.pyannote[346].end |
1781.60909375 |
transcript.pyannote[347].speaker |
SPEAKER_01 |
transcript.pyannote[347].start |
1781.89596875 |
transcript.pyannote[347].end |
1782.95909375 |
transcript.pyannote[348].speaker |
SPEAKER_01 |
transcript.pyannote[348].start |
1783.09409375 |
transcript.pyannote[348].end |
1785.69284375 |
transcript.pyannote[349].speaker |
SPEAKER_01 |
transcript.pyannote[349].start |
1785.91221875 |
transcript.pyannote[349].end |
1788.44346875 |
transcript.pyannote[350].speaker |
SPEAKER_03 |
transcript.pyannote[350].start |
1788.02159375 |
transcript.pyannote[350].end |
1790.06346875 |
transcript.pyannote[351].speaker |
SPEAKER_01 |
transcript.pyannote[351].start |
1789.27034375 |
transcript.pyannote[351].end |
1789.38846875 |
transcript.pyannote[352].speaker |
SPEAKER_01 |
transcript.pyannote[352].start |
1789.59096875 |
transcript.pyannote[352].end |
1793.43846875 |
transcript.pyannote[353].speaker |
SPEAKER_01 |
transcript.pyannote[353].start |
1793.62409375 |
transcript.pyannote[353].end |
1799.71596875 |
transcript.pyannote[354].speaker |
SPEAKER_03 |
transcript.pyannote[354].start |
1798.85534375 |
transcript.pyannote[354].end |
1806.75284375 |
transcript.pyannote[355].speaker |
SPEAKER_01 |
transcript.pyannote[355].start |
1800.32346875 |
transcript.pyannote[355].end |
1800.42471875 |
transcript.pyannote[356].speaker |
SPEAKER_01 |
transcript.pyannote[356].start |
1801.21784375 |
transcript.pyannote[356].end |
1801.60596875 |
transcript.pyannote[357].speaker |
SPEAKER_01 |
transcript.pyannote[357].start |
1806.68534375 |
transcript.pyannote[357].end |
1808.23784375 |
transcript.pyannote[358].speaker |
SPEAKER_01 |
transcript.pyannote[358].start |
1808.74409375 |
transcript.pyannote[358].end |
1811.20784375 |
transcript.pyannote[359].speaker |
SPEAKER_03 |
transcript.pyannote[359].start |
1810.02659375 |
transcript.pyannote[359].end |
1810.48221875 |
transcript.pyannote[360].speaker |
SPEAKER_03 |
transcript.pyannote[360].start |
1810.88721875 |
transcript.pyannote[360].end |
1814.09346875 |
transcript.pyannote[361].speaker |
SPEAKER_01 |
transcript.pyannote[361].start |
1812.25409375 |
transcript.pyannote[361].end |
1812.91221875 |
transcript.pyannote[362].speaker |
SPEAKER_01 |
transcript.pyannote[362].start |
1813.33409375 |
transcript.pyannote[362].end |
1815.39284375 |
transcript.pyannote[363].speaker |
SPEAKER_03 |
transcript.pyannote[363].start |
1815.59534375 |
transcript.pyannote[363].end |
1816.69221875 |
transcript.pyannote[364].speaker |
SPEAKER_01 |
transcript.pyannote[364].start |
1816.69221875 |
transcript.pyannote[364].end |
1818.31221875 |
transcript.pyannote[365].speaker |
SPEAKER_01 |
transcript.pyannote[365].start |
1818.83534375 |
transcript.pyannote[365].end |
1820.57346875 |
transcript.pyannote[366].speaker |
SPEAKER_02 |
transcript.pyannote[366].start |
1824.40409375 |
transcript.pyannote[366].end |
1829.17971875 |
transcript.pyannote[367].speaker |
SPEAKER_00 |
transcript.pyannote[367].start |
1831.99784375 |
transcript.pyannote[367].end |
1833.07784375 |
transcript.whisperx[0].start |
3.799 |
transcript.whisperx[0].end |
7.18 |
transcript.whisperx[0].text |
謝謝主席 請卓院長麻煩再請卓院長備詢謝謝 呂委員好卓院長 我想先給你看一個表格 |
transcript.whisperx[1].start |
21.361 |
transcript.whisperx[1].end |
36.467 |
transcript.whisperx[1].text |
就是我們去年國營事業有四大國營事業他們的營業上的虧損情形除了是台糖有盈餘57.51億以外其餘的像台電虧損了411億中油虧損了355億台水虧損了41.83億在這種情形之下財務狀況這麼困難的情況之下我們 |
transcript.whisperx[2].start |
47.489 |
transcript.whisperx[2].end |
64.736 |
transcript.whisperx[2].text |
看到就是關係著從台電來講的話台電的虧損的情形就是因為能源配比的問題那現在2016年我們因為我們執意要非核家園的作為目標現在馬上就2026年的今年是2025九個年頭過去了 |
transcript.whisperx[3].start |
67.838 |
transcript.whisperx[3].end |
79.03 |
transcript.whisperx[3].text |
這個虧損的情形就是一再發生也就是因為要非核加鹽所以到2026年的話我們的能源火力會50%燃煤會30%再生能源要20%的能源配比但是現在我們的再生能源的配比 |
transcript.whisperx[4].start |
84.677 |
transcript.whisperx[4].end |
102.471 |
transcript.whisperx[4].text |
達到的目標沒有到20%只有大概11.9%而已在這種情況之下在未來我們要如何讓我們台電這個反虧為盈這個是讓我們大家都要繼續努力的但是我們看到我們就是先給他增資了2500億又給他撥補了500億的情況之下他還是有虧損那目前來講 |
transcript.whisperx[5].start |
108.596 |
transcript.whisperx[5].end |
110.418 |
transcript.whisperx[5].text |
郭營的油電糖水四大公司 |
transcript.whisperx[6].start |
127.677 |
transcript.whisperx[6].end |
148.566 |
transcript.whisperx[6].text |
委員列出來這個表格三家比較呈現嚴重的虧損但是虧損我們都知道原因他都會有很多的政策的目標所以這個部分請部長說明一下為何如此虧損是部長怎麼解決根本問題在哪裡報告委員我想這個因為是當初是因為補貼的這些不漲價的部分所以造成的這個虧損 |
transcript.whisperx[7].start |
150.347 |
transcript.whisperx[7].end |
169.153 |
transcript.whisperx[7].text |
那我們會從這個財務上面我想我們會...不是補貼造成虧損部長你這個語病不是補貼造成虧損是二零一年裡要非核家園的這個目標現在二零二六年了除不我們能源配補不正確政策需要檢討調整才能解決這個問題 |
transcript.whisperx[8].start |
170.593 |
transcript.whisperx[8].end |
192.503 |
transcript.whisperx[8].text |
報告委員我們當然是從各個方面產銷人發財行政跟這個AI的使用各方面的管理的構面下去來評估但是我們從財務面來看它是現在只是提一個財務面的改善那我們有很多的這個其他管理的手法我們也可以從產銷人發財上面 |
transcript.whisperx[9].start |
196.084 |
transcript.whisperx[9].end |
205.398 |
transcript.whisperx[9].text |
中油現在要提出了三年三千五百億的增資你支持吧我還沒有說到他要三千五百億增資我現在問的題目是這樣子我是請問院長部長中油要提出的增資 |
transcript.whisperx[10].start |
212.864 |
transcript.whisperx[10].end |
231.181 |
transcript.whisperx[10].text |
我們沒有收到徵友要提出增資我國營司也沒有收到這樣的一個命令他現在提出三年三千五百億現在提出來對準備要提出規劃了還沒有嘛我就請問還沒有我們要做準備如果他提出來的時候我們會審視需不需要增資這樣好 |
transcript.whisperx[11].start |
231.84 |
transcript.whisperx[11].end |
237.782 |
transcript.whisperx[11].text |
我們講完台電講完中油就必須要跟你講一下這個台電的情形剛剛也講到這個虧損的情形那部長也講了這個撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥撥 |
transcript.whisperx[12].start |
261.249 |
transcript.whisperx[12].end |
275.334 |
transcript.whisperx[12].text |
才能夠解決所以你看到這個圖表現在目前來講的話火力發電自發電力的話大概2.87如果是購入發電的話是3.46元太陽能的自發電的話是3.94還有我們太陽能的購入的話是4.87風力的話是4.40購入的話是6.59核能發電是多少成本是多少1.42 |
transcript.whisperx[13].start |
289.864 |
transcript.whisperx[13].end |
304.411 |
transcript.whisperx[13].text |
前面這幾屆都是發電當下的成本核能的發電他有很多未來隱性的成本那個是非常非常當然當然有隱性啊人是有這個物質當然當然都有都有都要處理所以再生能源我們希望這個綠電要趕快的達標然後紓解我們未來把這個 |
transcript.whisperx[14].start |
312.074 |
transcript.whisperx[14].end |
339.159 |
transcript.whisperx[14].text |
非核尤其是非核我們要用了核電啊今年的五月核三長就要除役哦七月份就正式到非核家園所以很多我們要講說道路非核的時候那我們的再生能源能量能夠達到我們要求的20%未來2030年的30%能夠達到嗎你能夠達到的話才能讓我們電力穩定如果電力不穩定院長 部長 企業 |
transcript.whisperx[15].start |
340.299 |
transcript.whisperx[15].end |
366.02 |
transcript.whisperx[15].text |
他會不會出走 這是我們憂心的問題報告委員 我們會在明年這個2026年的11月我們會讓這個再生能源達到20%不是你要這樣 數字會說話你今年才到達差不多12%而已 今年到達12%而已對 我們現在完全把他這個目前的你目前的太陽能 |
transcript.whisperx[16].start |
366.84 |
transcript.whisperx[16].end |
392.929 |
transcript.whisperx[16].text |
發電在12%裡面佔了7%你的風電的話佔了3%你明年要達到多少 您說多少我明年要達到20%20% 對在什麼發電機突飛猛進呢用什麼再生能源的發電會讓你達到這20%沒有啊 我們就是按照我們所計畫的我們希望 你計畫要達到計畫一定可以超過 |
transcript.whisperx[17].start |
394.226 |
transcript.whisperx[17].end |
412.538 |
transcript.whisperx[17].text |
一定可以超過所以我也要請院長我們是要來做一個討論去做調整所以你要放眼看國際上大家的情勢不要每次看到核電你們就把它排除在外完全不願意把它納入去考量你看我們最鄰近的國家日本也好 韓國也好 |
transcript.whisperx[18].start |
413.939 |
transcript.whisperx[18].end |
420.98 |
transcript.whisperx[18].text |
在於韓國它在2038年它的核電的結構它就要達到35.6%日本在2040年它核能就要達到20%包括美國它除以核電廠它要重新檢視再來運轉這就是全世界對國際能源上大家的看法 |
transcript.whisperx[19].start |
437.964 |
transcript.whisperx[19].end |
461.946 |
transcript.whisperx[19].text |
所以美國他也說他願意協助我們對這個核電他可以協助我們去重新的來運轉那現在我們核能的管制在現行的法律底下我們5月17號要處理這個是法律的規定那法律沒有變更之前我們只能在法律的規定來做我知道院長你一定要講到法律的問題所以你要聽聽產業界的聲音所有產業界的聲音說沒有錯 |
transcript.whisperx[20].start |
463.908 |
transcript.whisperx[20].end |
489.116 |
transcript.whisperx[20].text |
我們從非核家園可以走進非碳家園在走進非碳家園的時候我們是不是更加的要全面的來做個調整跟檢討檢討什麼呢就是包括了我們包括了一些廚藝的核電廠它的設備 它的機具是不是有安全在整個環境結構絕對安全之下我們可以重新來讓有些廚藝的核電 |
transcript.whisperx[21].start |
490.376 |
transcript.whisperx[21].end |
493.718 |
transcript.whisperx[21].text |
我們考慮一下這個名詞非核家園是沒有核能的發電 能源但非碳家園是連火力 連天然氣 |
transcript.whisperx[22].start |
514.855 |
transcript.whisperx[22].end |
529.293 |
transcript.whisperx[22].text |
只要產生了碳都不行才叫非碳家園所以再生能源嘛再生能源要講說全部百分之百加生能源也是困難的再生能源有沒有碳是乾淨的能源嘛部長講過啊核電就是乾淨的能源啊非碳就是連火力都不能有才叫非碳 |
transcript.whisperx[23].start |
530.404 |
transcript.whisperx[23].end |
557.367 |
transcript.whisperx[23].text |
沒有錯 可是我們現在的情況之下我們在討論納入 逐步的來做到我們也希望全部都是非碳家園 這是最好的啊但是你要看到 你未來的話百分之八十 目前百分之八十都是火力發電我們的金骰的能源 我們的發電就是火力這是我們擔心的 未來非核色的話百分之八十的火力的話 會達到非碳嗎 |
transcript.whisperx[24].start |
558.208 |
transcript.whisperx[24].end |
584.688 |
transcript.whisperx[24].text |
不可能啊,百分之二十也沒有非碳啊百分之八十也不會是非碳,它還是有碳所以我的戰略思想是所以你沒有聽到我們產業界的聲音嗎我的想法是減碳先行,目標淨零我們從減碳發起所以未來火力發電也要降低到五十、三十以下減碳要先行嘛,未來目標還是要達到淨零那我們希望還是可以做能源備比去調整,好不好 |
transcript.whisperx[25].start |
585.228 |
transcript.whisperx[25].end |
608.346 |
transcript.whisperx[25].text |
我們會照現在的目標前進只要一切的順序都這樣在大家的支持底下像副部長所說明年執議會跟院長部長討論這個問題就是因為台電這兩兄弟啊虧損連連都要用增資用補助的方式我們如果怎麼樣去徹底的來解決他的財務的困境這要講出辦法解決辦法所以是不是能也對比我們怎麼樣 |
transcript.whisperx[26].start |
610.108 |
transcript.whisperx[26].end |
621.586 |
transcript.whisperx[26].text |
逐步來做到 國際因素 戰爭影響也很多那時候的虧損也很大所以你的天然氣 你的煤炭 國際的原物料跟著國際的局勢或許有波動嘛 |
transcript.whisperx[27].start |
622.836 |
transcript.whisperx[27].end |
638.72 |
transcript.whisperx[27].text |
才會讓我們電價越來越高 讓我們的成本越來越高發電成本越來越高 是不是臺灣的原料靠外國進來的比例相當高你不要一直排斥 我就希望說我們要怎麼樣去解救這個台電跟我們的爭議一直虧損的情形開放討論跟新的核能技術來做結合 |
transcript.whisperx[28].start |
644.101 |
transcript.whisperx[28].end |
671.244 |
transcript.whisperx[28].text |
像那大家討論的合龍河、小型核電廠我們希望能源配比要有一檔的我們的配比能夠調整這樣子我們的發電成本可以降低台電跟中油不要虧損那我們也可以穩定供電7月才能夠穩定它在我們台灣的工廠的發電產業鏈能夠順利的來運轉這才能夠保障他們不會有出軸的情形好不好這是非常重要的 |
transcript.whisperx[29].start |
673.125 |
transcript.whisperx[29].end |
693.013 |
transcript.whisperx[29].text |
接下來我們講完這個店,這店有預告說四月份要漲店價那漲店價的情形發生,我們人民又要苦哈哈,又會影響到我們整個物價因為我們中油台店它有穩定物價的責任,所以不能一直調漲 |
transcript.whisperx[30].start |
694.073 |
transcript.whisperx[30].end |
717.503 |
transcript.whisperx[30].text |
那所以我想請教的就是說因為我們現在學校 我們政府的政策 班班有冷氣 冷氣我們補助了但是電費啊 我們卻沒有每個學校補助 為什麼呢因為我們12年國教 應該是補助高中 國中 國小但是我們現在教育部 部長 郭部長你先請回 我們請教育部長 |
transcript.whisperx[31].start |
718.39 |
transcript.whisperx[31].end |
733.385 |
transcript.whisperx[31].text |
麻煩請教育部長備詢因為現在的電費是國中國小有補助高中子沒有補助那你給他冷氣那電費要自己來出的話讓學生的負擔家長的經濟負擔更加的沉重甚至於 |
transcript.whisperx[32].start |
734.346 |
transcript.whisperx[32].end |
756.418 |
transcript.whisperx[32].text |
他會用插卡式的或者錢不夠的話沒冷氣吹有冷氣沒有電就沒冷氣吹了這種情形之下我們是不是我有去查教育部的資料他說因為國中國小是義務教育所以這個是我們教育部我們政府的責任但是高中子不是義務教育那請問部長12年國教 |
transcript.whisperx[33].start |
758.673 |
transcript.whisperx[33].end |
784.585 |
transcript.whisperx[33].text |
現在幾乎國中99%的都為了提升他們的學業都有提升都有99%都念了高中職了那高中又在12年國教是不是應該都屬於義務教育部長打一下以後收支發分改變之後我們還能補助嗎跟委員報告我們事實上在14年我們事實上各級學校我們編了將近59億的這個經費要做這個 |
transcript.whisperx[34].start |
788.449 |
transcript.whisperx[34].end |
807.564 |
transcript.whisperx[34].text |
電匯的一個補貼但是因為另外在未來一個財化法還有我們一個統三我們現在這一個整個年度的一個預算裡邊我們事實上是沒有辦法很精準的去理解到我們教育部目前可用的一個這一個年度的一個預算做這樣一個 |
transcript.whisperx[35].start |
808.485 |
transcript.whisperx[35].end |
823.41 |
transcript.whisperx[35].text |
補充說明那當然高中子裡面有許多來自於地方市這個各縣市市立的一個高中子他本來我知道每次跟你們講到這個你們就提到才化法我們先講制度你全部補助冷氣的學校有總共有三 |
transcript.whisperx[36].start |
831.241 |
transcript.whisperx[36].end |
857.717 |
transcript.whisperx[36].text |
3584個學校國小有2658個學校國中有732個學校你都補助了班班有冷氣也補助了電費高中值只有194校194校的學生你就不能補助嗎而且我們用制度面來講的話12年國教高中值都有自有的一個校務基金相當程度他們都有能力能夠負擔這樣一個水電費 |
transcript.whisperx[37].start |
859.258 |
transcript.whisperx[37].end |
884.088 |
transcript.whisperx[37].text |
就是沒有能力啊就是教育團體來跟本席反映希望我們能為他們發聲啊各位委員報告教育團體有許多的訊息他可能是不夠精準的你不能說他們不夠精準喔他們關心教育關心孩子他們是很精準的包括他們那個他們班費七百塊或是校務基金這個錢不夠所以才要請求你們協助我非常清楚 |
transcript.whisperx[38].start |
885.014 |
transcript.whisperx[38].end |
905.725 |
transcript.whisperx[38].text |
你非常清楚,那我告訴你,請問他們的班費繳多少?他們的校務基金繳多少?校務基金是來自於他們繳的雜費所累積滾輪,留在學校你是跟委員報告,我們高中職,國立高中職現在校務基金超過一億以上的,至少有20% |
transcript.whisperx[39].start |
907.97 |
transcript.whisperx[39].end |
923.532 |
transcript.whisperx[39].text |
六千萬以上的有八成七成到八成委員知道這樣一個數據嗎但是我們委員很關心我非常感謝委員為學校爭取經費二十萬三十萬五十萬可是他們事實上 |
transcript.whisperx[40].start |
923.993 |
transcript.whisperx[40].end |
950.765 |
transcript.whisperx[40].text |
校務基金就可以拿出來使用但是他們都一直非常節約我也感謝委員關心學校教育但是我們許多中小學的一個校務基金他們沒有善加使用我想這可能也是委員在未來以後可以再進一步去了解的我也請部長下鄉去去了解他們怎麼樣使用冷氣插卡 |
transcript.whisperx[41].start |
952.145 |
transcript.whisperx[41].end |
974.199 |
transcript.whisperx[41].text |
卡片要儲值 插下去才可以用電那為什麼國中國小不用呢我們這個近鄰的一個家園這裡邊怎麼樣讓校園永續發展我想使用這個電力 能源有效能這是我們學校教育在人才培育的一個很重要的目標 |
transcript.whisperx[42].start |
975.22 |
transcript.whisperx[42].end |
982.534 |
transcript.whisperx[42].text |
你講的我都懂 反正把事情都推走就是了議長 我想要跟你講的是制度面請問12年國教 為什麼叫12年國教 |
transcript.whisperx[43].start |
988.829 |
transcript.whisperx[43].end |
1001.02 |
transcript.whisperx[43].text |
所以國中 高中 國小 他們的能源 他們的資源 是不是要一視同仁要不要一視同仁你教育補助費是補助國中 高中 你不補助高中嗎地方政府有責任 |
transcript.whisperx[44].start |
1010.268 |
transcript.whisperx[44].end |
1024.608 |
transcript.whisperx[44].text |
我想地方教育局也有責任他們必須要編年度的預算來協助中小學教育的一個發展當然中央跟地方是協力的想要共同讓台灣的教育發展更好 |
transcript.whisperx[45].start |
1025.689 |
transcript.whisperx[45].end |
1051.31 |
transcript.whisperx[45].text |
他們要 地方政府要協助他們來資源都能夠補助 讓孩子們苦我們全不能窮教育 苦不能苦了我們的孩子我們如果保護我們孩子 如果讓我們孩子資源能夠得到更好的保護 我們要做到的我跟委員的想法 態度是一致的一致的 我們一致從中央拿錢去 事情要中央來做 |
transcript.whisperx[46].start |
1051.67 |
transcript.whisperx[46].end |
1060.621 |
transcript.whisperx[46].text |
不是所以我請院長跟部長把我的問題聽清楚我們現在是講制度面 |
transcript.whisperx[47].start |
1062.041 |
transcript.whisperx[47].end |
1087.169 |
transcript.whisperx[47].text |
12年國教 高中 國中 國小他們的教育資源應該是一致性的不能有偏頗的你不能說高中部長就說使用者付費國小 國中不是使用者付費嗎所以不要有這種偏頗的言論我們用制度一致性的來講所以我還是請部長我們都非常了解地方的狀況每個學校的狀況這個問題 這個議題 |
transcript.whisperx[48].start |
1089.83 |
transcript.whisperx[48].end |
1102.934 |
transcript.whisperx[48].text |
是教育團體提出來 請我們來拜他們發聲的所以回去可以研議一下 可行性嘛不要一下在這邊就擋掉了所以我們可以研議好 那既然你院長這樣講話你才換法讓地方來資助高中 是不是這樣子 |
transcript.whisperx[49].start |
1114.658 |
transcript.whisperx[49].end |
1132.054 |
transcript.whisperx[49].text |
你是這樣子回答的嗎好 財務法下去將地方政府來補助高中的電費你的答案就這樣子不只這些 還有很多很多的像我們現在各縣市地方政府有部分它的高中值是屬於市立的 |
transcript.whisperx[50].start |
1132.594 |
transcript.whisperx[50].end |
1153.584 |
transcript.whisperx[50].text |
那麼這個經費在當時就教育部已經全部編到播到地方去但是屬於國立的高中子當然是由國教署來負擔他們學校的營運所以我才會請問部長那屬於國教署的對不對有部分是屬於國教署的一個責任所以請部長回去研議一下不要這麼快就擋掉了因為這個是 |
transcript.whisperx[51].start |
1160.308 |
transcript.whisperx[51].end |
1174.444 |
transcript.whisperx[51].text |
這個教育團體大家集體的連署發聲希望我們讓部長讓院長知道高中也是需要補助這一塊當然我們的有冷氣也能夠有冷氣可以吹有電可以冷氣吹好不好好 謝謝部長那接下來部長我還是在討論學校的問題 |
transcript.whisperx[52].start |
1178.809 |
transcript.whisperx[52].end |
1202.114 |
transcript.whisperx[52].text |
那因為我們在討論學校這個學務人力不足的情況之下因為在前年的時候新北市發生殺警案那引起社會的關注就是校安的問題那根據112年在學校的校安安全的部分來分析就建議在不同學制的校安為了預防這個重點工作特別的讓我們針對各個學校 |
transcript.whisperx[53].start |
1204.935 |
transcript.whisperx[53].end |
1224.849 |
transcript.whisperx[53].text |
他們做了一個統計學校的這個校安的通報的統計素面我們看到我統計的包括了國小 國中跟高中每個學校通報的情形在這個表上都有那我們撇開這個天災 疾病這個部分拿掉來最重要的 |
transcript.whisperx[54].start |
1225.609 |
transcript.whisperx[54].end |
1245.451 |
transcript.whisperx[54].text |
包括兒童跟少年的保護包括家暴或者行為偏差的暴力霸凌等等事件都非常非常的多那因為高中的時候有教官有這個教官的話在學校可以來幫忙維護來做勸導輔導的工作但是國中沒有啊 |
transcript.whisperx[55].start |
1246.271 |
transcript.whisperx[55].end |
1262.264 |
transcript.whisperx[55].text |
所以說這個柯警案的事情發生之後所以我們特別的就針對這個問題來給學校針對這個問題提出了一個叫做學務創新人力 |
transcript.whisperx[56].start |
1263.424 |
transcript.whisperx[56].end |
1284.7 |
transcript.whisperx[56].text |
因為教官預缺不補 越來越少 人力不夠所以你們就來個學務創新人力所以這三年的時間啊 他只有補了將近918人 1210人 1550人大概大概 一個學校大概補助了大概三人這三人而已 所以部長 這人數還是不夠喔 |
transcript.whisperx[57].start |
1285 |
transcript.whisperx[57].end |
1299.667 |
transcript.whisperx[57].text |
跟委員報告我進來以後事實上也感謝我們大院支持學生輔導法通過本來這就是希望說能夠有更多的一個心理輔導專業能夠來協助我們新世代的學生的一個成長 |
transcript.whisperx[58].start |
1300.447 |
transcript.whisperx[58].end |
1317.437 |
transcript.whisperx[58].text |
那第二個就是我們也看到因為特別在國中青少年的一個發展階段裡邊他們在喜多的這些這個情緒的一個關於或者人際之間一個互動我們也知道對學校在校安事件所以院長在這個部分是非常關心所以我們才額外的編了這個雖然沒有辦法 |
transcript.whisperx[59].start |
1325.242 |
transcript.whisperx[59].end |
1330.929 |
transcript.whisperx[59].text |
一次到位 慢慢逐步 逐步所以部長 再跟你進一步的討論國中這個學校裡面校士人力的一些補充部長 因為我們這個學務創新人力是在高中 |
transcript.whisperx[60].start |
1340.259 |
transcript.whisperx[60].end |
1366.393 |
transcript.whisperx[60].text |
但是的話 因為這個擱淺案發生之後的話我們就要加強到國中嘛你看這個數據 國中還是需要很多人力的幫忙那國中部的話 我們增加了這個學務人力就是補助國中設置副組長這個方案那國中的補助副組長 但是有條件式的啦你要有61個班的人才可以補助1到3個副組長 |
transcript.whisperx[61].start |
1367.182 |
transcript.whisperx[61].end |
1376.792 |
transcript.whisperx[61].text |
我想我們總體的一個教育經費怎麼樣去用到刀口上那當然希望校園友善的校園裡面你讓我把話講完因為我問題還沒問出來嘛你就不要緊張讓我把問題問出來我其實想要回應委員的是說 |
transcript.whisperx[62].start |
1384.639 |
transcript.whisperx[62].end |
1403.274 |
transcript.whisperx[62].text |
這個友善校園的一個機制的一個建構還要包含社區家長包括警政 我們事實上就一直在努力包含怎麼樣讓社區有更多的一個對學教育部長你不要把問題講完 你怎麼回答不是我要的問題呢抱歉不是我要的答案 我還沒有把問題講出來嘛 |
transcript.whisperx[63].start |
1405.56 |
transcript.whisperx[63].end |
1429.171 |
transcript.whisperx[63].text |
你不要占用我太多時間我的問題才問不到幾個而已我的意思是說現在我們的副組長要61班才可以增加1到3人但是你看到59班 58班 57班他們也是大學校但是沒有副組長的編制他們這麼多的班員沒有辦法只有教師要代理嗎沒有教師願意啊現在要備課 |
transcript.whisperx[64].start |
1430.291 |
transcript.whisperx[64].end |
1456.181 |
transcript.whisperx[64].text |
所以他們沒有辦法去也不願意來參加做這個組長的工作所以用代課老師所以在這個部分的話我說你可不可以說不要一下地了這麼高標到60班以上可不可以就是說40班或者50班40班增加一個50班增加兩個60班增加三個這樣漸進式的話那你們的制度的美意就可以執行下去是不是 |
transcript.whisperx[65].start |
1457.027 |
transcript.whisperx[65].end |
1475.462 |
transcript.whisperx[65].text |
謝謝委員的提醒的關心我想總是這個教育經費也要拜託委員未來能夠給更大力的一個支持你編制就已經是一到三人嘛那我說方法上可不可以調整一下我們會再更細緻來看怎麼樣業長你有聽懂我的意思啦業長一直點頭不要說六十班才可以一到三人因為確實有時候他的標準一切就變成 |
transcript.whisperx[66].start |
1484.909 |
transcript.whisperx[66].end |
1498.392 |
transcript.whisperx[66].text |
這個標準以下的可能一時之間就沒有我也同意委員所講到底切到60班還是59班你的規則你的規範裡面就是要61班以上所以我才說這都是教育團體他們的聲音啦他們的意見所以我也請你把它聽進去做個討論給他們這40班50班也可以有增加這個副組長這缺 |
transcript.whisperx[67].start |
1510.898 |
transcript.whisperx[67].end |
1513.96 |
transcript.whisperx[67].text |
謝謝委員提醒我們再來看怎麼樣也能夠對特殊狀況執行辦法會更加的 |
transcript.whisperx[68].start |
1519.335 |
transcript.whisperx[68].end |
1546.077 |
transcript.whisperx[68].text |
讓他們可以使用到 這才是重點啦好 那我們希望孩子的安全我們來守護也請部長 院長我們一起來做這個研議讓他們可以使用到更多來維護校安人員好不好當初我們五打七安 校安也是這樣還是安全啦我們會來重新加強檢視委員會提出這個問題那謝謝齁那 部長您辛苦 您請回好了我接下來要請交通部長喔 |
transcript.whisperx[69].start |
1547.878 |
transcript.whisperx[69].end |
1566.553 |
transcript.whisperx[69].text |
特別要提到的就是本席的區域裡面在平正龍潭在交通的環境上分別有國道1號跟國道3號它中間會經過一條66的快速道路這個就是我們南桃園最主要的公路的資幹特別有這樣子的安排交通 |
transcript.whisperx[70].start |
1567.153 |
transcript.whisperx[70].end |
1582.049 |
transcript.whisperx[70].text |
那現在的話我們桃園鄰近的這個雙北有鐵路運輸跟公路運輸那因為有國道還有這個市內的公車運輸在對我們平正龍潭是非常重要的 |
transcript.whisperx[71].start |
1582.509 |
transcript.whisperx[71].end |
1606.784 |
transcript.whisperx[71].text |
那就是因為有公路運輸那我們更需要的就是一個轉運站轉運站那現在呢因為我們龍潭這個地方就要來做一個轉運站因為龍潭的車子開過來的話就到台北的永林在這邊台北的永林已經有公車轉運站了我們龍潭平鎮都還沒有那我就先來講龍潭部分那龍潭的話我們要做一個整個這個 |
transcript.whisperx[72].start |
1609.205 |
transcript.whisperx[72].end |
1626.879 |
transcript.whisperx[72].text |
整開區的話時間要比較長包括土地的徵收還有那個都市計畫都要送到內政部去審查那要請內政部快一點幫我們審查通過那但是我們也不能等待啦因為大家我們的民眾鄉親啊都在馬路邊上在等候車子是非常 |
transcript.whisperx[73].start |
1627.219 |
transcript.whisperx[73].end |
1641.455 |
transcript.whisperx[73].text |
安全而且辛苦的所以我們就有一份的短中長期那這個短期的話我們就會用在我們龍潭的運動公園用人行道跟這個公車站這個地方做公車站的停等這個廊道 |
transcript.whisperx[74].start |
1642.196 |
transcript.whisperx[74].end |
1657.954 |
transcript.whisperx[74].text |
那這個中期的話我們就會有一個仙島的轉運站就在這個交流道的這周邊我們仙會又租用了這個1250坪的這個用地啊來做一個仙島轉運站大概我們考慮到像八德的 |
transcript.whisperx[75].start |
1658.274 |
transcript.whisperx[75].end |
1677.749 |
transcript.whisperx[75].text |
他們是會用這簡易的貨櫃屋的方式來做這個我們臨時的這個仙島的轉運站那目前來講的話在這個去年的時候8月份我們已經匯刊完畢了在匯刊完畢的話在去年的12月31號我們也絕標公告那現在就是 |
transcript.whisperx[76].start |
1678.409 |
transcript.whisperx[76].end |
1702.58 |
transcript.whisperx[76].text |
土地的容許使用跟審查跟都市計畫的審議作業大概114年的7月我們拿到建造之後就可以施工115年的7月就可以完工115年的10月就可以啟用今天為什麼特別特別的來跟我們陳部長來溝通一下共車轉運站很重要如果你到我們地方去我剛剛也講了 |
transcript.whisperx[77].start |
1703.26 |
transcript.whisperx[77].end |
1731.499 |
transcript.whisperx[77].text |
他就在路邊太陽曬著在等車子沒有一個他們專門的一個候車的地方是很危險的所以我們下短期的話就在運動公園旁邊就用現在人的候車停的地方來等待所以我們是必須要先做個先導的公車先導的這個轉運站那目前的這個經費大概要一億那我們地方政府大概也會跟我們交通部提出申請大概補助三成那這點的話部長可不可以承諾我們 |
transcript.whisperx[78].start |
1733.64 |
transcript.whisperx[78].end |
1750.031 |
transcript.whisperx[78].text |
來補助我們 報告委員桃園確實是客運的運輸非常的重要啦所以轉運站的部分您一直在爭取這個我曉得但是我們的這個公路局的這個公共運輸永續的交通平權的計畫的預算目前有遭刪的那也有遭凍結的 |
transcript.whisperx[79].start |
1751.152 |
transcript.whisperx[79].end |
1774.084 |
transcript.whisperx[79].text |
所以目前預算還沒有確定之前其實我們很難答應這件事情不過現在桃園市政府他可以先做計畫那並且先用桃園市政府的錢先來做那未來如果我們預算確定之後有需要的話他們來申請我們會來協助部長這個經費我剛剛練了比較多一點時間就告訴你114年今年 |
transcript.whisperx[80].start |
1775.014 |
transcript.whisperx[80].end |
1799.8 |
transcript.whisperx[80].text |
要施工115年7月要來完工如果我們的財化法過那是明年才會有這個分配那今年的話我們今年跟你提出申請這個經費不是很高啦我說的部分其實是總預算的部分所以說你今年如果送來給你審查的話是今年就要撥啦跟財化法是沒有關係啦財化法過是明年的事情這樣可以嗎我說的是總預算 |
transcript.whisperx[81].start |
1801.5 |
transcript.whisperx[81].end |
1819.974 |
transcript.whisperx[81].text |
我們預算還沒有確定,因為我們這筆預算有被凍結也有被刪除的所以還沒有最後確定都說會解凍啦生意分子以後就會解凍啦對,如果能解凍的話我們會願意來協助解凍的話我們去申請就可以是不是?請他們來申請好,謝謝李玉琳委員的資訊,謝謝卓院長、各部會所長的備訓 |
transcript.whisperx[82].start |
1832.049 |
transcript.whisperx[82].end |
1832.395 |
transcript.whisperx[82].text |
接下來我們請登記 |