IVOD_ID |
160711 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160711 |
日期 |
2025-04-28 |
會議資料.會議代碼 |
委員會-11-3-26-8 |
會議資料.會議代碼:str |
第11屆第3會期社會福利及衛生環境委員會第8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 |
8 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
26 |
會議資料.委員會代碼:str[0] |
社會福利及衛生環境委員會 |
會議資料.標題 |
第11屆第3會期社會福利及衛生環境委員會第8次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-04-28T11:37:24+08:00 |
結束時間 |
2025-04-28T11:53:54+08:00 |
影片長度 |
00:16:30 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3f76a0bd18e4ae6a53b8f53f87fc2aede7917adb13da216115a6895f83779ad0d5025eb6a0fa74945ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
劉建國 |
委員發言時間 |
11:37:24 - 11:53:54 |
會議時間 |
2025-04-28T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期社會福利及衛生環境委員會第8次全體委員會議(事由:邀請環境部部長列席報告業務概況,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_03 |
transcript.pyannote[0].start |
2.59596875 |
transcript.pyannote[0].end |
2.98409375 |
transcript.pyannote[1].speaker |
SPEAKER_03 |
transcript.pyannote[1].start |
5.44784375 |
transcript.pyannote[1].end |
6.22409375 |
transcript.pyannote[2].speaker |
SPEAKER_03 |
transcript.pyannote[2].start |
6.59534375 |
transcript.pyannote[2].end |
10.51034375 |
transcript.pyannote[3].speaker |
SPEAKER_03 |
transcript.pyannote[3].start |
11.11784375 |
transcript.pyannote[3].end |
11.82659375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
12.31596875 |
transcript.pyannote[4].end |
13.98659375 |
transcript.pyannote[5].speaker |
SPEAKER_03 |
transcript.pyannote[5].start |
14.57721875 |
transcript.pyannote[5].end |
25.66409375 |
transcript.pyannote[6].speaker |
SPEAKER_03 |
transcript.pyannote[6].start |
26.00159375 |
transcript.pyannote[6].end |
27.62159375 |
transcript.pyannote[7].speaker |
SPEAKER_03 |
transcript.pyannote[7].start |
27.92534375 |
transcript.pyannote[7].end |
28.80284375 |
transcript.pyannote[8].speaker |
SPEAKER_03 |
transcript.pyannote[8].start |
29.15721875 |
transcript.pyannote[8].end |
30.23721875 |
transcript.pyannote[9].speaker |
SPEAKER_03 |
transcript.pyannote[9].start |
30.84471875 |
transcript.pyannote[9].end |
31.77284375 |
transcript.pyannote[10].speaker |
SPEAKER_03 |
transcript.pyannote[10].start |
32.34659375 |
transcript.pyannote[10].end |
33.57846875 |
transcript.pyannote[11].speaker |
SPEAKER_03 |
transcript.pyannote[11].start |
34.10159375 |
transcript.pyannote[11].end |
35.13096875 |
transcript.pyannote[12].speaker |
SPEAKER_03 |
transcript.pyannote[12].start |
35.51909375 |
transcript.pyannote[12].end |
37.62846875 |
transcript.pyannote[13].speaker |
SPEAKER_03 |
transcript.pyannote[13].start |
37.94909375 |
transcript.pyannote[13].end |
39.73784375 |
transcript.pyannote[14].speaker |
SPEAKER_03 |
transcript.pyannote[14].start |
40.27784375 |
transcript.pyannote[14].end |
41.50971875 |
transcript.pyannote[15].speaker |
SPEAKER_03 |
transcript.pyannote[15].start |
41.67846875 |
transcript.pyannote[15].end |
42.53909375 |
transcript.pyannote[16].speaker |
SPEAKER_03 |
transcript.pyannote[16].start |
42.99471875 |
transcript.pyannote[16].end |
55.14471875 |
transcript.pyannote[17].speaker |
SPEAKER_03 |
transcript.pyannote[17].start |
55.97159375 |
transcript.pyannote[17].end |
56.57909375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
57.99659375 |
transcript.pyannote[18].end |
73.42034375 |
transcript.pyannote[19].speaker |
SPEAKER_03 |
transcript.pyannote[19].start |
59.12721875 |
transcript.pyannote[19].end |
59.21159375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
73.53846875 |
transcript.pyannote[20].end |
77.85846875 |
transcript.pyannote[21].speaker |
SPEAKER_03 |
transcript.pyannote[21].start |
77.57159375 |
transcript.pyannote[21].end |
80.91284375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
80.30534375 |
transcript.pyannote[22].end |
84.05159375 |
transcript.pyannote[23].speaker |
SPEAKER_03 |
transcript.pyannote[23].start |
83.91659375 |
transcript.pyannote[23].end |
89.95784375 |
transcript.pyannote[24].speaker |
SPEAKER_03 |
transcript.pyannote[24].start |
90.48096875 |
transcript.pyannote[24].end |
92.60721875 |
transcript.pyannote[25].speaker |
SPEAKER_03 |
transcript.pyannote[25].start |
93.53534375 |
transcript.pyannote[25].end |
98.39534375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
99.12096875 |
transcript.pyannote[26].end |
108.57096875 |
transcript.pyannote[27].speaker |
SPEAKER_03 |
transcript.pyannote[27].start |
101.09534375 |
transcript.pyannote[27].end |
101.48346875 |
transcript.pyannote[28].speaker |
SPEAKER_03 |
transcript.pyannote[28].start |
108.08159375 |
transcript.pyannote[28].end |
109.90409375 |
transcript.pyannote[29].speaker |
SPEAKER_03 |
transcript.pyannote[29].start |
110.17409375 |
transcript.pyannote[29].end |
111.06846875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
111.06846875 |
transcript.pyannote[30].end |
111.27096875 |
transcript.pyannote[31].speaker |
SPEAKER_03 |
transcript.pyannote[31].start |
112.04721875 |
transcript.pyannote[31].end |
117.44721875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
119.45534375 |
transcript.pyannote[32].end |
129.10784375 |
transcript.pyannote[33].speaker |
SPEAKER_03 |
transcript.pyannote[33].start |
127.92659375 |
transcript.pyannote[33].end |
134.60909375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
129.93471875 |
transcript.pyannote[34].end |
130.94721875 |
transcript.pyannote[35].speaker |
SPEAKER_03 |
transcript.pyannote[35].start |
135.16596875 |
transcript.pyannote[35].end |
136.43159375 |
transcript.pyannote[36].speaker |
SPEAKER_03 |
transcript.pyannote[36].start |
137.62971875 |
transcript.pyannote[36].end |
138.59159375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
138.96284375 |
transcript.pyannote[37].end |
139.03034375 |
transcript.pyannote[38].speaker |
SPEAKER_03 |
transcript.pyannote[38].start |
141.20721875 |
transcript.pyannote[38].end |
141.64596875 |
transcript.pyannote[39].speaker |
SPEAKER_03 |
transcript.pyannote[39].start |
143.80596875 |
transcript.pyannote[39].end |
144.81846875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
144.81846875 |
transcript.pyannote[40].end |
147.85596875 |
transcript.pyannote[41].speaker |
SPEAKER_03 |
transcript.pyannote[41].start |
147.33284375 |
transcript.pyannote[41].end |
148.24409375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
148.37909375 |
transcript.pyannote[42].end |
149.08784375 |
transcript.pyannote[43].speaker |
SPEAKER_03 |
transcript.pyannote[43].start |
149.74596875 |
transcript.pyannote[43].end |
151.19721875 |
transcript.pyannote[44].speaker |
SPEAKER_03 |
transcript.pyannote[44].start |
151.34909375 |
transcript.pyannote[44].end |
152.42909375 |
transcript.pyannote[45].speaker |
SPEAKER_03 |
transcript.pyannote[45].start |
153.07034375 |
transcript.pyannote[45].end |
153.74534375 |
transcript.pyannote[46].speaker |
SPEAKER_03 |
transcript.pyannote[46].start |
154.04909375 |
transcript.pyannote[46].end |
154.84221875 |
transcript.pyannote[47].speaker |
SPEAKER_03 |
transcript.pyannote[47].start |
155.53409375 |
transcript.pyannote[47].end |
156.25971875 |
transcript.pyannote[48].speaker |
SPEAKER_03 |
transcript.pyannote[48].start |
156.58034375 |
transcript.pyannote[48].end |
157.94721875 |
transcript.pyannote[49].speaker |
SPEAKER_03 |
transcript.pyannote[49].start |
158.25096875 |
transcript.pyannote[49].end |
159.95534375 |
transcript.pyannote[50].speaker |
SPEAKER_03 |
transcript.pyannote[50].start |
160.49534375 |
transcript.pyannote[50].end |
161.69346875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
163.71846875 |
transcript.pyannote[51].end |
166.40159375 |
transcript.pyannote[52].speaker |
SPEAKER_03 |
transcript.pyannote[52].start |
166.26659375 |
transcript.pyannote[52].end |
167.02596875 |
transcript.pyannote[53].speaker |
SPEAKER_03 |
transcript.pyannote[53].start |
167.14409375 |
transcript.pyannote[53].end |
168.42659375 |
transcript.pyannote[54].speaker |
SPEAKER_03 |
transcript.pyannote[54].start |
168.81471875 |
transcript.pyannote[54].end |
170.78909375 |
transcript.pyannote[55].speaker |
SPEAKER_03 |
transcript.pyannote[55].start |
171.16034375 |
transcript.pyannote[55].end |
171.83534375 |
transcript.pyannote[56].speaker |
SPEAKER_03 |
transcript.pyannote[56].start |
172.47659375 |
transcript.pyannote[56].end |
173.64096875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
176.59409375 |
transcript.pyannote[57].end |
182.66909375 |
transcript.pyannote[58].speaker |
SPEAKER_03 |
transcript.pyannote[58].start |
182.23034375 |
transcript.pyannote[58].end |
184.47471875 |
transcript.pyannote[59].speaker |
SPEAKER_03 |
transcript.pyannote[59].start |
184.82909375 |
transcript.pyannote[59].end |
187.47846875 |
transcript.pyannote[60].speaker |
SPEAKER_03 |
transcript.pyannote[60].start |
187.73159375 |
transcript.pyannote[60].end |
187.98471875 |
transcript.pyannote[61].speaker |
SPEAKER_03 |
transcript.pyannote[61].start |
188.11971875 |
transcript.pyannote[61].end |
189.26721875 |
transcript.pyannote[62].speaker |
SPEAKER_03 |
transcript.pyannote[62].start |
189.72284375 |
transcript.pyannote[62].end |
190.34721875 |
transcript.pyannote[63].speaker |
SPEAKER_03 |
transcript.pyannote[63].start |
195.54471875 |
transcript.pyannote[63].end |
198.48096875 |
transcript.pyannote[64].speaker |
SPEAKER_03 |
transcript.pyannote[64].start |
199.02096875 |
transcript.pyannote[64].end |
200.10096875 |
transcript.pyannote[65].speaker |
SPEAKER_03 |
transcript.pyannote[65].start |
200.47221875 |
transcript.pyannote[65].end |
201.94034375 |
transcript.pyannote[66].speaker |
SPEAKER_03 |
transcript.pyannote[66].start |
202.19346875 |
transcript.pyannote[66].end |
205.99034375 |
transcript.pyannote[67].speaker |
SPEAKER_03 |
transcript.pyannote[67].start |
206.26034375 |
transcript.pyannote[67].end |
209.58471875 |
transcript.pyannote[68].speaker |
SPEAKER_03 |
transcript.pyannote[68].start |
209.97284375 |
transcript.pyannote[68].end |
211.08659375 |
transcript.pyannote[69].speaker |
SPEAKER_03 |
transcript.pyannote[69].start |
212.70659375 |
transcript.pyannote[69].end |
216.87471875 |
transcript.pyannote[70].speaker |
SPEAKER_03 |
transcript.pyannote[70].start |
217.46534375 |
transcript.pyannote[70].end |
219.65909375 |
transcript.pyannote[71].speaker |
SPEAKER_03 |
transcript.pyannote[71].start |
219.86159375 |
transcript.pyannote[71].end |
221.32971875 |
transcript.pyannote[72].speaker |
SPEAKER_03 |
transcript.pyannote[72].start |
221.58284375 |
transcript.pyannote[72].end |
224.43471875 |
transcript.pyannote[73].speaker |
SPEAKER_03 |
transcript.pyannote[73].start |
224.56971875 |
transcript.pyannote[73].end |
225.41346875 |
transcript.pyannote[74].speaker |
SPEAKER_03 |
transcript.pyannote[74].start |
227.48909375 |
transcript.pyannote[74].end |
227.96159375 |
transcript.pyannote[75].speaker |
SPEAKER_03 |
transcript.pyannote[75].start |
231.67409375 |
transcript.pyannote[75].end |
232.14659375 |
transcript.pyannote[76].speaker |
SPEAKER_03 |
transcript.pyannote[76].start |
234.71159375 |
transcript.pyannote[76].end |
235.36971875 |
transcript.pyannote[77].speaker |
SPEAKER_03 |
transcript.pyannote[77].start |
236.38221875 |
transcript.pyannote[77].end |
237.02346875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
239.03159375 |
transcript.pyannote[78].end |
239.04846875 |
transcript.pyannote[79].speaker |
SPEAKER_03 |
transcript.pyannote[79].start |
239.04846875 |
transcript.pyannote[79].end |
240.68534375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
239.06534375 |
transcript.pyannote[80].end |
245.07284375 |
transcript.pyannote[81].speaker |
SPEAKER_03 |
transcript.pyannote[81].start |
244.78596875 |
transcript.pyannote[81].end |
246.76034375 |
transcript.pyannote[82].speaker |
SPEAKER_03 |
transcript.pyannote[82].start |
246.82784375 |
transcript.pyannote[82].end |
247.80659375 |
transcript.pyannote[83].speaker |
SPEAKER_03 |
transcript.pyannote[83].start |
248.27909375 |
transcript.pyannote[83].end |
249.25784375 |
transcript.pyannote[84].speaker |
SPEAKER_03 |
transcript.pyannote[84].start |
249.71346875 |
transcript.pyannote[84].end |
250.55721875 |
transcript.pyannote[85].speaker |
SPEAKER_03 |
transcript.pyannote[85].start |
253.27409375 |
transcript.pyannote[85].end |
260.63159375 |
transcript.pyannote[86].speaker |
SPEAKER_03 |
transcript.pyannote[86].start |
261.23909375 |
transcript.pyannote[86].end |
262.85909375 |
transcript.pyannote[87].speaker |
SPEAKER_03 |
transcript.pyannote[87].start |
263.41596875 |
transcript.pyannote[87].end |
266.65596875 |
transcript.pyannote[88].speaker |
SPEAKER_03 |
transcript.pyannote[88].start |
267.39846875 |
transcript.pyannote[88].end |
268.84971875 |
transcript.pyannote[89].speaker |
SPEAKER_03 |
transcript.pyannote[89].start |
269.52471875 |
transcript.pyannote[89].end |
274.68846875 |
transcript.pyannote[90].speaker |
SPEAKER_03 |
transcript.pyannote[90].start |
275.24534375 |
transcript.pyannote[90].end |
276.25784375 |
transcript.pyannote[91].speaker |
SPEAKER_03 |
transcript.pyannote[91].start |
277.06784375 |
transcript.pyannote[91].end |
281.38784375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
282.68721875 |
transcript.pyannote[92].end |
288.17159375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
288.30659375 |
transcript.pyannote[93].end |
291.76596875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
291.91784375 |
transcript.pyannote[94].end |
292.45784375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
292.66034375 |
transcript.pyannote[95].end |
306.86909375 |
transcript.pyannote[96].speaker |
SPEAKER_03 |
transcript.pyannote[96].start |
306.61596875 |
transcript.pyannote[96].end |
311.34096875 |
transcript.pyannote[97].speaker |
SPEAKER_03 |
transcript.pyannote[97].start |
311.52659375 |
transcript.pyannote[97].end |
314.47971875 |
transcript.pyannote[98].speaker |
SPEAKER_03 |
transcript.pyannote[98].start |
314.78346875 |
transcript.pyannote[98].end |
316.28534375 |
transcript.pyannote[99].speaker |
SPEAKER_03 |
transcript.pyannote[99].start |
317.04471875 |
transcript.pyannote[99].end |
319.03596875 |
transcript.pyannote[100].speaker |
SPEAKER_03 |
transcript.pyannote[100].start |
319.62659375 |
transcript.pyannote[100].end |
320.67284375 |
transcript.pyannote[101].speaker |
SPEAKER_03 |
transcript.pyannote[101].start |
321.07784375 |
transcript.pyannote[101].end |
322.36034375 |
transcript.pyannote[102].speaker |
SPEAKER_03 |
transcript.pyannote[102].start |
322.71471875 |
transcript.pyannote[102].end |
330.89909375 |
transcript.pyannote[103].speaker |
SPEAKER_03 |
transcript.pyannote[103].start |
331.50659375 |
transcript.pyannote[103].end |
335.40471875 |
transcript.pyannote[104].speaker |
SPEAKER_03 |
transcript.pyannote[104].start |
335.65784375 |
transcript.pyannote[104].end |
341.17596875 |
transcript.pyannote[105].speaker |
SPEAKER_03 |
transcript.pyannote[105].start |
341.24346875 |
transcript.pyannote[105].end |
356.19471875 |
transcript.pyannote[106].speaker |
SPEAKER_03 |
transcript.pyannote[106].start |
357.59534375 |
transcript.pyannote[106].end |
358.82721875 |
transcript.pyannote[107].speaker |
SPEAKER_03 |
transcript.pyannote[107].start |
360.37971875 |
transcript.pyannote[107].end |
362.18534375 |
transcript.pyannote[108].speaker |
SPEAKER_03 |
transcript.pyannote[108].start |
364.22721875 |
transcript.pyannote[108].end |
364.90221875 |
transcript.pyannote[109].speaker |
SPEAKER_03 |
transcript.pyannote[109].start |
365.94846875 |
transcript.pyannote[109].end |
368.39534375 |
transcript.pyannote[110].speaker |
SPEAKER_03 |
transcript.pyannote[110].start |
369.55971875 |
transcript.pyannote[110].end |
371.44971875 |
transcript.pyannote[111].speaker |
SPEAKER_03 |
transcript.pyannote[111].start |
372.31034375 |
transcript.pyannote[111].end |
373.17096875 |
transcript.pyannote[112].speaker |
SPEAKER_03 |
transcript.pyannote[112].start |
375.38159375 |
transcript.pyannote[112].end |
376.10721875 |
transcript.pyannote[113].speaker |
SPEAKER_03 |
transcript.pyannote[113].start |
376.39409375 |
transcript.pyannote[113].end |
379.78596875 |
transcript.pyannote[114].speaker |
SPEAKER_03 |
transcript.pyannote[114].start |
380.34284375 |
transcript.pyannote[114].end |
393.96096875 |
transcript.pyannote[115].speaker |
SPEAKER_03 |
transcript.pyannote[115].start |
394.60221875 |
transcript.pyannote[115].end |
407.52846875 |
transcript.pyannote[116].speaker |
SPEAKER_03 |
transcript.pyannote[116].start |
407.61284375 |
transcript.pyannote[116].end |
415.88159375 |
transcript.pyannote[117].speaker |
SPEAKER_03 |
transcript.pyannote[117].start |
416.16846875 |
transcript.pyannote[117].end |
418.71659375 |
transcript.pyannote[118].speaker |
SPEAKER_03 |
transcript.pyannote[118].start |
419.00346875 |
transcript.pyannote[118].end |
426.66471875 |
transcript.pyannote[119].speaker |
SPEAKER_03 |
transcript.pyannote[119].start |
427.06971875 |
transcript.pyannote[119].end |
427.71096875 |
transcript.pyannote[120].speaker |
SPEAKER_03 |
transcript.pyannote[120].start |
428.40284375 |
transcript.pyannote[120].end |
430.24221875 |
transcript.pyannote[121].speaker |
SPEAKER_03 |
transcript.pyannote[121].start |
430.83284375 |
transcript.pyannote[121].end |
437.36346875 |
transcript.pyannote[122].speaker |
SPEAKER_03 |
transcript.pyannote[122].start |
437.80221875 |
transcript.pyannote[122].end |
442.08846875 |
transcript.pyannote[123].speaker |
SPEAKER_03 |
transcript.pyannote[123].start |
442.29096875 |
transcript.pyannote[123].end |
443.13471875 |
transcript.pyannote[124].speaker |
SPEAKER_03 |
transcript.pyannote[124].start |
443.59034375 |
transcript.pyannote[124].end |
443.60721875 |
transcript.pyannote[125].speaker |
SPEAKER_03 |
transcript.pyannote[125].start |
443.82659375 |
transcript.pyannote[125].end |
447.20159375 |
transcript.pyannote[126].speaker |
SPEAKER_03 |
transcript.pyannote[126].start |
448.04534375 |
transcript.pyannote[126].end |
448.99034375 |
transcript.pyannote[127].speaker |
SPEAKER_03 |
transcript.pyannote[127].start |
449.31096875 |
transcript.pyannote[127].end |
450.34034375 |
transcript.pyannote[128].speaker |
SPEAKER_03 |
transcript.pyannote[128].start |
450.69471875 |
transcript.pyannote[128].end |
451.75784375 |
transcript.pyannote[129].speaker |
SPEAKER_03 |
transcript.pyannote[129].start |
452.02784375 |
transcript.pyannote[129].end |
452.82096875 |
transcript.pyannote[130].speaker |
SPEAKER_03 |
transcript.pyannote[130].start |
453.19221875 |
transcript.pyannote[130].end |
454.42409375 |
transcript.pyannote[131].speaker |
SPEAKER_03 |
transcript.pyannote[131].start |
455.36909375 |
transcript.pyannote[131].end |
455.94284375 |
transcript.pyannote[132].speaker |
SPEAKER_03 |
transcript.pyannote[132].start |
456.26346875 |
transcript.pyannote[132].end |
457.54596875 |
transcript.pyannote[133].speaker |
SPEAKER_03 |
transcript.pyannote[133].start |
458.06909375 |
transcript.pyannote[133].end |
459.03096875 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
460.68471875 |
transcript.pyannote[134].end |
460.71846875 |
transcript.pyannote[135].speaker |
SPEAKER_02 |
transcript.pyannote[135].start |
460.85346875 |
transcript.pyannote[135].end |
461.41034375 |
transcript.pyannote[136].speaker |
SPEAKER_03 |
transcript.pyannote[136].start |
463.01346875 |
transcript.pyannote[136].end |
464.21159375 |
transcript.pyannote[137].speaker |
SPEAKER_03 |
transcript.pyannote[137].start |
468.48096875 |
transcript.pyannote[137].end |
471.46784375 |
transcript.pyannote[138].speaker |
SPEAKER_03 |
transcript.pyannote[138].start |
471.80534375 |
transcript.pyannote[138].end |
474.85971875 |
transcript.pyannote[139].speaker |
SPEAKER_03 |
transcript.pyannote[139].start |
474.97784375 |
transcript.pyannote[139].end |
476.12534375 |
transcript.pyannote[140].speaker |
SPEAKER_03 |
transcript.pyannote[140].start |
476.56409375 |
transcript.pyannote[140].end |
487.43159375 |
transcript.pyannote[141].speaker |
SPEAKER_03 |
transcript.pyannote[141].start |
487.71846875 |
transcript.pyannote[141].end |
502.02846875 |
transcript.pyannote[142].speaker |
SPEAKER_03 |
transcript.pyannote[142].start |
502.45034375 |
transcript.pyannote[142].end |
504.39096875 |
transcript.pyannote[143].speaker |
SPEAKER_03 |
transcript.pyannote[143].start |
505.43721875 |
transcript.pyannote[143].end |
506.73659375 |
transcript.pyannote[144].speaker |
SPEAKER_03 |
transcript.pyannote[144].start |
507.15846875 |
transcript.pyannote[144].end |
508.28909375 |
transcript.pyannote[145].speaker |
SPEAKER_03 |
transcript.pyannote[145].start |
509.16659375 |
transcript.pyannote[145].end |
509.67284375 |
transcript.pyannote[146].speaker |
SPEAKER_03 |
transcript.pyannote[146].start |
510.73596875 |
transcript.pyannote[146].end |
511.17471875 |
transcript.pyannote[147].speaker |
SPEAKER_03 |
transcript.pyannote[147].start |
511.61346875 |
transcript.pyannote[147].end |
512.17034375 |
transcript.pyannote[148].speaker |
SPEAKER_03 |
transcript.pyannote[148].start |
513.04784375 |
transcript.pyannote[148].end |
514.58346875 |
transcript.pyannote[149].speaker |
SPEAKER_03 |
transcript.pyannote[149].start |
514.81971875 |
transcript.pyannote[149].end |
515.71409375 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
516.82784375 |
transcript.pyannote[150].end |
520.84409375 |
transcript.pyannote[151].speaker |
SPEAKER_02 |
transcript.pyannote[151].start |
522.37971875 |
transcript.pyannote[151].end |
522.39659375 |
transcript.pyannote[152].speaker |
SPEAKER_03 |
transcript.pyannote[152].start |
522.39659375 |
transcript.pyannote[152].end |
524.38784375 |
transcript.pyannote[153].speaker |
SPEAKER_03 |
transcript.pyannote[153].start |
524.92784375 |
transcript.pyannote[153].end |
527.34096875 |
transcript.pyannote[154].speaker |
SPEAKER_03 |
transcript.pyannote[154].start |
529.18034375 |
transcript.pyannote[154].end |
529.55159375 |
transcript.pyannote[155].speaker |
SPEAKER_03 |
transcript.pyannote[155].start |
530.59784375 |
transcript.pyannote[155].end |
531.76221875 |
transcript.pyannote[156].speaker |
SPEAKER_02 |
transcript.pyannote[156].start |
531.99846875 |
transcript.pyannote[156].end |
532.03221875 |
transcript.pyannote[157].speaker |
SPEAKER_03 |
transcript.pyannote[157].start |
532.03221875 |
transcript.pyannote[157].end |
532.33596875 |
transcript.pyannote[158].speaker |
SPEAKER_03 |
transcript.pyannote[158].start |
533.48346875 |
transcript.pyannote[158].end |
533.75346875 |
transcript.pyannote[159].speaker |
SPEAKER_03 |
transcript.pyannote[159].start |
535.52534375 |
transcript.pyannote[159].end |
542.05596875 |
transcript.pyannote[160].speaker |
SPEAKER_03 |
transcript.pyannote[160].start |
543.05159375 |
transcript.pyannote[160].end |
543.92909375 |
transcript.pyannote[161].speaker |
SPEAKER_03 |
transcript.pyannote[161].start |
544.55346875 |
transcript.pyannote[161].end |
549.58221875 |
transcript.pyannote[162].speaker |
SPEAKER_03 |
transcript.pyannote[162].start |
550.39221875 |
transcript.pyannote[162].end |
551.43846875 |
transcript.pyannote[163].speaker |
SPEAKER_03 |
transcript.pyannote[163].start |
552.04596875 |
transcript.pyannote[163].end |
557.58096875 |
transcript.pyannote[164].speaker |
SPEAKER_03 |
transcript.pyannote[164].start |
557.83409375 |
transcript.pyannote[164].end |
559.48784375 |
transcript.pyannote[165].speaker |
SPEAKER_03 |
transcript.pyannote[165].start |
560.41596875 |
transcript.pyannote[165].end |
563.38596875 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
565.39409375 |
transcript.pyannote[166].end |
587.98971875 |
transcript.pyannote[167].speaker |
SPEAKER_03 |
transcript.pyannote[167].start |
588.69846875 |
transcript.pyannote[167].end |
590.25096875 |
transcript.pyannote[168].speaker |
SPEAKER_03 |
transcript.pyannote[168].start |
591.28034375 |
transcript.pyannote[168].end |
593.23784375 |
transcript.pyannote[169].speaker |
SPEAKER_03 |
transcript.pyannote[169].start |
594.99284375 |
transcript.pyannote[169].end |
595.85346875 |
transcript.pyannote[170].speaker |
SPEAKER_03 |
transcript.pyannote[170].start |
595.93784375 |
transcript.pyannote[170].end |
596.37659375 |
transcript.pyannote[171].speaker |
SPEAKER_03 |
transcript.pyannote[171].start |
597.38909375 |
transcript.pyannote[171].end |
599.12721875 |
transcript.pyannote[172].speaker |
SPEAKER_03 |
transcript.pyannote[172].start |
599.68409375 |
transcript.pyannote[172].end |
600.64596875 |
transcript.pyannote[173].speaker |
SPEAKER_03 |
transcript.pyannote[173].start |
601.38846875 |
transcript.pyannote[173].end |
603.53159375 |
transcript.pyannote[174].speaker |
SPEAKER_03 |
transcript.pyannote[174].start |
604.61159375 |
transcript.pyannote[174].end |
605.64096875 |
transcript.pyannote[175].speaker |
SPEAKER_03 |
transcript.pyannote[175].start |
606.88971875 |
transcript.pyannote[175].end |
608.71221875 |
transcript.pyannote[176].speaker |
SPEAKER_03 |
transcript.pyannote[176].start |
609.99471875 |
transcript.pyannote[176].end |
611.32784375 |
transcript.pyannote[177].speaker |
SPEAKER_03 |
transcript.pyannote[177].start |
615.47909375 |
transcript.pyannote[177].end |
627.83159375 |
transcript.pyannote[178].speaker |
SPEAKER_03 |
transcript.pyannote[178].start |
628.03409375 |
transcript.pyannote[178].end |
630.34596875 |
transcript.pyannote[179].speaker |
SPEAKER_03 |
transcript.pyannote[179].start |
631.03784375 |
transcript.pyannote[179].end |
633.63659375 |
transcript.pyannote[180].speaker |
SPEAKER_02 |
transcript.pyannote[180].start |
633.63659375 |
transcript.pyannote[180].end |
633.83909375 |
transcript.pyannote[181].speaker |
SPEAKER_03 |
transcript.pyannote[181].start |
634.00784375 |
transcript.pyannote[181].end |
638.32784375 |
transcript.pyannote[182].speaker |
SPEAKER_03 |
transcript.pyannote[182].start |
639.28971875 |
transcript.pyannote[182].end |
640.26846875 |
transcript.pyannote[183].speaker |
SPEAKER_03 |
transcript.pyannote[183].start |
640.57221875 |
transcript.pyannote[183].end |
643.42409375 |
transcript.pyannote[184].speaker |
SPEAKER_03 |
transcript.pyannote[184].start |
643.64346875 |
transcript.pyannote[184].end |
645.22971875 |
transcript.pyannote[185].speaker |
SPEAKER_03 |
transcript.pyannote[185].start |
645.55034375 |
transcript.pyannote[185].end |
646.14096875 |
transcript.pyannote[186].speaker |
SPEAKER_03 |
transcript.pyannote[186].start |
647.62596875 |
transcript.pyannote[186].end |
648.45284375 |
transcript.pyannote[187].speaker |
SPEAKER_03 |
transcript.pyannote[187].start |
650.08971875 |
transcript.pyannote[187].end |
651.70971875 |
transcript.pyannote[188].speaker |
SPEAKER_02 |
transcript.pyannote[188].start |
651.96284375 |
transcript.pyannote[188].end |
654.05534375 |
transcript.pyannote[189].speaker |
SPEAKER_03 |
transcript.pyannote[189].start |
653.66721875 |
transcript.pyannote[189].end |
660.07971875 |
transcript.pyannote[190].speaker |
SPEAKER_03 |
transcript.pyannote[190].start |
661.39596875 |
transcript.pyannote[190].end |
662.66159375 |
transcript.pyannote[191].speaker |
SPEAKER_03 |
transcript.pyannote[191].start |
664.53471875 |
transcript.pyannote[191].end |
666.57659375 |
transcript.pyannote[192].speaker |
SPEAKER_03 |
transcript.pyannote[192].start |
666.91409375 |
transcript.pyannote[192].end |
670.10346875 |
transcript.pyannote[193].speaker |
SPEAKER_02 |
transcript.pyannote[193].start |
667.90971875 |
transcript.pyannote[193].end |
667.94346875 |
transcript.pyannote[194].speaker |
SPEAKER_02 |
transcript.pyannote[194].start |
668.02784375 |
transcript.pyannote[194].end |
668.04471875 |
transcript.pyannote[195].speaker |
SPEAKER_02 |
transcript.pyannote[195].start |
668.82096875 |
transcript.pyannote[195].end |
669.24284375 |
transcript.pyannote[196].speaker |
SPEAKER_02 |
transcript.pyannote[196].start |
670.10346875 |
transcript.pyannote[196].end |
670.37346875 |
transcript.pyannote[197].speaker |
SPEAKER_03 |
transcript.pyannote[197].start |
670.57596875 |
transcript.pyannote[197].end |
672.07784375 |
transcript.pyannote[198].speaker |
SPEAKER_03 |
transcript.pyannote[198].start |
672.78659375 |
transcript.pyannote[198].end |
678.11909375 |
transcript.pyannote[199].speaker |
SPEAKER_03 |
transcript.pyannote[199].start |
678.20346875 |
transcript.pyannote[199].end |
680.32971875 |
transcript.pyannote[200].speaker |
SPEAKER_03 |
transcript.pyannote[200].start |
680.48159375 |
transcript.pyannote[200].end |
680.85284375 |
transcript.pyannote[201].speaker |
SPEAKER_03 |
transcript.pyannote[201].start |
681.19034375 |
transcript.pyannote[201].end |
684.05909375 |
transcript.pyannote[202].speaker |
SPEAKER_03 |
transcript.pyannote[202].start |
684.16034375 |
transcript.pyannote[202].end |
686.32034375 |
transcript.pyannote[203].speaker |
SPEAKER_03 |
transcript.pyannote[203].start |
686.50596875 |
transcript.pyannote[203].end |
687.50159375 |
transcript.pyannote[204].speaker |
SPEAKER_03 |
transcript.pyannote[204].start |
688.88534375 |
transcript.pyannote[204].end |
690.28596875 |
transcript.pyannote[205].speaker |
SPEAKER_03 |
transcript.pyannote[205].start |
690.55596875 |
transcript.pyannote[205].end |
691.56846875 |
transcript.pyannote[206].speaker |
SPEAKER_03 |
transcript.pyannote[206].start |
692.47971875 |
transcript.pyannote[206].end |
694.42034375 |
transcript.pyannote[207].speaker |
SPEAKER_03 |
transcript.pyannote[207].start |
694.92659375 |
transcript.pyannote[207].end |
695.21346875 |
transcript.pyannote[208].speaker |
SPEAKER_03 |
transcript.pyannote[208].start |
695.43284375 |
transcript.pyannote[208].end |
696.54659375 |
transcript.pyannote[209].speaker |
SPEAKER_03 |
transcript.pyannote[209].start |
697.76159375 |
transcript.pyannote[209].end |
699.34784375 |
transcript.pyannote[210].speaker |
SPEAKER_03 |
transcript.pyannote[210].start |
699.75284375 |
transcript.pyannote[210].end |
700.46159375 |
transcript.pyannote[211].speaker |
SPEAKER_03 |
transcript.pyannote[211].start |
700.93409375 |
transcript.pyannote[211].end |
702.11534375 |
transcript.pyannote[212].speaker |
SPEAKER_03 |
transcript.pyannote[212].start |
702.63846875 |
transcript.pyannote[212].end |
705.82784375 |
transcript.pyannote[213].speaker |
SPEAKER_03 |
transcript.pyannote[213].start |
706.31721875 |
transcript.pyannote[213].end |
707.14409375 |
transcript.pyannote[214].speaker |
SPEAKER_03 |
transcript.pyannote[214].start |
707.70096875 |
transcript.pyannote[214].end |
710.50221875 |
transcript.pyannote[215].speaker |
SPEAKER_03 |
transcript.pyannote[215].start |
712.05471875 |
transcript.pyannote[215].end |
714.16409375 |
transcript.pyannote[216].speaker |
SPEAKER_03 |
transcript.pyannote[216].start |
714.46784375 |
transcript.pyannote[216].end |
715.71659375 |
transcript.pyannote[217].speaker |
SPEAKER_03 |
transcript.pyannote[217].start |
716.15534375 |
transcript.pyannote[217].end |
722.17971875 |
transcript.pyannote[218].speaker |
SPEAKER_03 |
transcript.pyannote[218].start |
722.97284375 |
transcript.pyannote[218].end |
725.57159375 |
transcript.pyannote[219].speaker |
SPEAKER_03 |
transcript.pyannote[219].start |
726.49971875 |
transcript.pyannote[219].end |
728.96346875 |
transcript.pyannote[220].speaker |
SPEAKER_03 |
transcript.pyannote[220].start |
729.43596875 |
transcript.pyannote[220].end |
733.11471875 |
transcript.pyannote[221].speaker |
SPEAKER_03 |
transcript.pyannote[221].start |
734.68409375 |
transcript.pyannote[221].end |
738.76784375 |
transcript.pyannote[222].speaker |
SPEAKER_03 |
transcript.pyannote[222].start |
739.13909375 |
transcript.pyannote[222].end |
740.69159375 |
transcript.pyannote[223].speaker |
SPEAKER_03 |
transcript.pyannote[223].start |
741.73784375 |
transcript.pyannote[223].end |
744.42096875 |
transcript.pyannote[224].speaker |
SPEAKER_03 |
transcript.pyannote[224].start |
744.97784375 |
transcript.pyannote[224].end |
746.05784375 |
transcript.pyannote[225].speaker |
SPEAKER_03 |
transcript.pyannote[225].start |
746.98596875 |
transcript.pyannote[225].end |
747.81284375 |
transcript.pyannote[226].speaker |
SPEAKER_03 |
transcript.pyannote[226].start |
749.24721875 |
transcript.pyannote[226].end |
750.37784375 |
transcript.pyannote[227].speaker |
SPEAKER_03 |
transcript.pyannote[227].start |
751.76159375 |
transcript.pyannote[227].end |
753.12846875 |
transcript.pyannote[228].speaker |
SPEAKER_03 |
transcript.pyannote[228].start |
753.66846875 |
transcript.pyannote[228].end |
753.93846875 |
transcript.pyannote[229].speaker |
SPEAKER_03 |
transcript.pyannote[229].start |
753.97221875 |
transcript.pyannote[229].end |
754.30971875 |
transcript.pyannote[230].speaker |
SPEAKER_03 |
transcript.pyannote[230].start |
755.06909375 |
transcript.pyannote[230].end |
756.94221875 |
transcript.pyannote[231].speaker |
SPEAKER_03 |
transcript.pyannote[231].start |
757.39784375 |
transcript.pyannote[231].end |
759.23721875 |
transcript.pyannote[232].speaker |
SPEAKER_03 |
transcript.pyannote[232].start |
759.43971875 |
transcript.pyannote[232].end |
760.04721875 |
transcript.pyannote[233].speaker |
SPEAKER_03 |
transcript.pyannote[233].start |
761.86971875 |
transcript.pyannote[233].end |
762.79784375 |
transcript.pyannote[234].speaker |
SPEAKER_03 |
transcript.pyannote[234].start |
766.52721875 |
transcript.pyannote[234].end |
774.84659375 |
transcript.pyannote[235].speaker |
SPEAKER_03 |
transcript.pyannote[235].start |
775.20096875 |
transcript.pyannote[235].end |
787.94159375 |
transcript.pyannote[236].speaker |
SPEAKER_03 |
transcript.pyannote[236].start |
788.05971875 |
transcript.pyannote[236].end |
791.63721875 |
transcript.pyannote[237].speaker |
SPEAKER_03 |
transcript.pyannote[237].start |
791.94096875 |
transcript.pyannote[237].end |
792.70034375 |
transcript.pyannote[238].speaker |
SPEAKER_03 |
transcript.pyannote[238].start |
793.49346875 |
transcript.pyannote[238].end |
796.64909375 |
transcript.pyannote[239].speaker |
SPEAKER_02 |
transcript.pyannote[239].start |
797.94846875 |
transcript.pyannote[239].end |
813.57471875 |
transcript.pyannote[240].speaker |
SPEAKER_03 |
transcript.pyannote[240].start |
813.45659375 |
transcript.pyannote[240].end |
822.40034375 |
transcript.pyannote[241].speaker |
SPEAKER_03 |
transcript.pyannote[241].start |
822.67034375 |
transcript.pyannote[241].end |
838.54971875 |
transcript.pyannote[242].speaker |
SPEAKER_03 |
transcript.pyannote[242].start |
839.89971875 |
transcript.pyannote[242].end |
841.26659375 |
transcript.pyannote[243].speaker |
SPEAKER_02 |
transcript.pyannote[243].start |
840.76034375 |
transcript.pyannote[243].end |
841.65471875 |
transcript.pyannote[244].speaker |
SPEAKER_03 |
transcript.pyannote[244].start |
841.65471875 |
transcript.pyannote[244].end |
851.91471875 |
transcript.pyannote[245].speaker |
SPEAKER_00 |
transcript.pyannote[245].start |
849.26534375 |
transcript.pyannote[245].end |
849.94034375 |
transcript.pyannote[246].speaker |
SPEAKER_03 |
transcript.pyannote[246].start |
852.30284375 |
transcript.pyannote[246].end |
853.75409375 |
transcript.pyannote[247].speaker |
SPEAKER_03 |
transcript.pyannote[247].start |
853.87221875 |
transcript.pyannote[247].end |
855.74534375 |
transcript.pyannote[248].speaker |
SPEAKER_03 |
transcript.pyannote[248].start |
856.11659375 |
transcript.pyannote[248].end |
857.04471875 |
transcript.pyannote[249].speaker |
SPEAKER_03 |
transcript.pyannote[249].start |
857.77034375 |
transcript.pyannote[249].end |
858.39471875 |
transcript.pyannote[250].speaker |
SPEAKER_03 |
transcript.pyannote[250].start |
858.69846875 |
transcript.pyannote[250].end |
859.45784375 |
transcript.pyannote[251].speaker |
SPEAKER_03 |
transcript.pyannote[251].start |
860.14971875 |
transcript.pyannote[251].end |
861.01034375 |
transcript.pyannote[252].speaker |
SPEAKER_03 |
transcript.pyannote[252].start |
861.39846875 |
transcript.pyannote[252].end |
861.98909375 |
transcript.pyannote[253].speaker |
SPEAKER_03 |
transcript.pyannote[253].start |
862.61346875 |
transcript.pyannote[253].end |
863.17034375 |
transcript.pyannote[254].speaker |
SPEAKER_03 |
transcript.pyannote[254].start |
863.65971875 |
transcript.pyannote[254].end |
864.89159375 |
transcript.pyannote[255].speaker |
SPEAKER_03 |
transcript.pyannote[255].start |
864.97596875 |
transcript.pyannote[255].end |
865.80284375 |
transcript.pyannote[256].speaker |
SPEAKER_03 |
transcript.pyannote[256].start |
866.66346875 |
transcript.pyannote[256].end |
867.00096875 |
transcript.pyannote[257].speaker |
SPEAKER_03 |
transcript.pyannote[257].start |
867.37221875 |
transcript.pyannote[257].end |
868.30034375 |
transcript.pyannote[258].speaker |
SPEAKER_02 |
transcript.pyannote[258].start |
868.40159375 |
transcript.pyannote[258].end |
868.82346875 |
transcript.pyannote[259].speaker |
SPEAKER_03 |
transcript.pyannote[259].start |
868.80659375 |
transcript.pyannote[259].end |
883.04909375 |
transcript.pyannote[260].speaker |
SPEAKER_03 |
transcript.pyannote[260].start |
883.21784375 |
transcript.pyannote[260].end |
884.75346875 |
transcript.pyannote[261].speaker |
SPEAKER_02 |
transcript.pyannote[261].start |
885.73221875 |
transcript.pyannote[261].end |
885.83346875 |
transcript.pyannote[262].speaker |
SPEAKER_03 |
transcript.pyannote[262].start |
885.83346875 |
transcript.pyannote[262].end |
887.35221875 |
transcript.pyannote[263].speaker |
SPEAKER_02 |
transcript.pyannote[263].start |
887.35221875 |
transcript.pyannote[263].end |
896.29596875 |
transcript.pyannote[264].speaker |
SPEAKER_02 |
transcript.pyannote[264].start |
897.67971875 |
transcript.pyannote[264].end |
900.16034375 |
transcript.pyannote[265].speaker |
SPEAKER_02 |
transcript.pyannote[265].start |
901.93221875 |
transcript.pyannote[265].end |
901.94909375 |
transcript.pyannote[266].speaker |
SPEAKER_03 |
transcript.pyannote[266].start |
901.94909375 |
transcript.pyannote[266].end |
914.92596875 |
transcript.pyannote[267].speaker |
SPEAKER_03 |
transcript.pyannote[267].start |
915.82034375 |
transcript.pyannote[267].end |
920.79846875 |
transcript.pyannote[268].speaker |
SPEAKER_03 |
transcript.pyannote[268].start |
920.93346875 |
transcript.pyannote[268].end |
924.74721875 |
transcript.pyannote[269].speaker |
SPEAKER_03 |
transcript.pyannote[269].start |
925.00034375 |
transcript.pyannote[269].end |
936.20534375 |
transcript.pyannote[270].speaker |
SPEAKER_03 |
transcript.pyannote[270].start |
936.62721875 |
transcript.pyannote[270].end |
940.49159375 |
transcript.pyannote[271].speaker |
SPEAKER_03 |
transcript.pyannote[271].start |
941.23409375 |
transcript.pyannote[271].end |
943.52909375 |
transcript.pyannote[272].speaker |
SPEAKER_03 |
transcript.pyannote[272].start |
944.81159375 |
transcript.pyannote[272].end |
945.79034375 |
transcript.pyannote[273].speaker |
SPEAKER_03 |
transcript.pyannote[273].start |
945.84096875 |
transcript.pyannote[273].end |
953.68784375 |
transcript.pyannote[274].speaker |
SPEAKER_03 |
transcript.pyannote[274].start |
954.70034375 |
transcript.pyannote[274].end |
955.54409375 |
transcript.pyannote[275].speaker |
SPEAKER_02 |
transcript.pyannote[275].start |
955.54409375 |
transcript.pyannote[275].end |
963.99846875 |
transcript.pyannote[276].speaker |
SPEAKER_02 |
transcript.pyannote[276].start |
964.11659375 |
transcript.pyannote[276].end |
966.90096875 |
transcript.pyannote[277].speaker |
SPEAKER_03 |
transcript.pyannote[277].start |
965.97284375 |
transcript.pyannote[277].end |
972.28409375 |
transcript.pyannote[278].speaker |
SPEAKER_03 |
transcript.pyannote[278].start |
972.48659375 |
transcript.pyannote[278].end |
974.15721875 |
transcript.pyannote[279].speaker |
SPEAKER_02 |
transcript.pyannote[279].start |
974.15721875 |
transcript.pyannote[279].end |
984.97409375 |
transcript.pyannote[280].speaker |
SPEAKER_00 |
transcript.pyannote[280].start |
983.37096875 |
transcript.pyannote[280].end |
983.52284375 |
transcript.pyannote[281].speaker |
SPEAKER_00 |
transcript.pyannote[281].start |
983.65784375 |
transcript.pyannote[281].end |
984.56909375 |
transcript.pyannote[282].speaker |
SPEAKER_00 |
transcript.pyannote[282].start |
985.76721875 |
transcript.pyannote[282].end |
990.96471875 |
transcript.whisperx[0].start |
2.591 |
transcript.whisperx[0].end |
5.837 |
transcript.whisperx[0].text |
法定人數不足 |
transcript.whisperx[1].start |
15.186 |
transcript.whisperx[1].end |
34.602 |
transcript.whisperx[1].text |
剛剛有委員槌尋說他能關電板一個叫做石油連線到時候怎麼處理另外一個是因為天災地變有損毀那我看你答覆那個委員我覺得你有點胸有不成竹然後你旁邊的幕僚還頻頻點頭因為那個槌尋的委員是要講說是叫清潔隊來處理是不是 |
transcript.whisperx[2].start |
40.399 |
transcript.whisperx[2].end |
51.172 |
transcript.whisperx[2].text |
他在旁邊一直點頭,是這樣嗎?你要不要答覆清楚一點?一個是使用連線到了,怎麼處理?另外一個是使用連線尚未到了,因為天災地變它損壞了,怎麼處理? |
transcript.whisperx[3].start |
58.372 |
transcript.whisperx[3].end |
77.852 |
transcript.whisperx[3].text |
跟委員報告在使用年限道或者說天災地變就是因為天災的關係它有損壞都可以達到我們有一個碳能板的回收專線去集中來回收那另外一部分是說民眾可能有些小的它數量比較少那就可以跟清潔隊來聯絡來回收跟清潔隊來聯絡來回收嘛對不對可以問清潔隊員 |
transcript.whisperx[4].start |
82.356 |
transcript.whisperx[4].end |
110.884 |
transcript.whisperx[4].text |
看那個回收的管道是怎麼樣是問清潔隊員回收管道還是請清潔隊員來回收剛剛你的答案是請清潔隊員來回收那你的幕僚跟你一樣都投一支點哪一個清潔隊有在回收這個小型家用的碳能關鍵板如果是比較小的或是說因為它數量它是有稍微大一點可能它的回收車沒辦法回收那就要去清潔什麼叫比較小 什麼叫比較大怎麼去界定 |
transcript.whisperx[5].start |
112.376 |
transcript.whisperx[5].end |
138.283 |
transcript.whisperx[5].text |
哪一個清潔隊有在收你講的所謂的比較小的這兩個問題就好簡單就好好不好有些是那個它有些它是屋頂那個早期小型的它那個小型的那如果回收車它可以回收你講回收車指清潔隊的回收車嘛對不對哪一個清潔隊的哪一個鄉鎮的哪一區的清潔隊的回收車有在回收可以明確跟我講嗎有嗎 |
transcript.whisperx[6].start |
143.837 |
transcript.whisperx[6].end |
161.577 |
transcript.whisperx[6].text |
你要不要再確定一下是是 那我們是有跟我們的地方簽沒有啦如果有你就先跟我講嘛台北市哪一區還是運線哪一個鄉鎮的清潔隊有在收這個小型的因為天災地變損害的太陽能光電板 |
transcript.whisperx[7].start |
163.906 |
transcript.whisperx[7].end |
173.711 |
transcript.whisperx[7].text |
跟委員報告我講的是說家戶的事可以一樣家戶啊我這跟你講也是家戶啊就小型家用不是家戶嗎對不對誰在收嘛哪一個清潔隊在收嘛跟委員報告我們也是有曾經有這個民眾打來那我們會跟清潔隊那邊來聯絡對你好那你就直接講各位講你們處理的實力給我聽嘛給委員會聽嘛你打給哪一個清潔隊嘛 |
transcript.whisperx[8].start |
195.558 |
transcript.whisperx[8].end |
210.14 |
transcript.whisperx[8].text |
因為你每天要清災應領的嘛,你自己塞在清廠,你自己不知道,你說清潔堆有你修,我只能問,對,清潔堆有你修,你又說人家卡電來,你又還沒修,所以環境部,所以環境部就聯絡那個地方的清潔堆,好,你就跟我說對一下小型家用的太陽光電,因為天災地變損害之後,然後不曉得要找誰收,然後導致你環境部來,那環境部,然後再找地方的清潔隊,去做回收, |
transcript.whisperx[9].start |
227.483 |
transcript.whisperx[9].end |
228.464 |
transcript.whisperx[9].text |
天啊!天啊!誇張吧!你不會去?你這個事有什麼事?這是有些個案,我們過去是有...沒有沒有,你有些個案,你跟我講個案啊哪一個清潔隊啊?哪一個鄉鎮的啊?哪一個縣的啊? |
transcript.whisperx[10].start |
253.485 |
transcript.whisperx[10].end |
280.883 |
transcript.whisperx[10].text |
所以我不是要跟台灣吐槽債啦我是要跟你提倡說你這樣回答是有出問題啦都不可能嘛你們有心智跟舊智嘛對不對 那舊智我們就不談你的心智也不是這樣啊你的舊智也沒有這樣啊清潔隊就不肯去跟你搜小型家用的損害的開門光電板啊都不可能啊那你們自己的制度怎麼樣 你能不能簡單說明一下我時間有限 已經佔一半的時間了 |
transcript.whisperx[11].start |
282.762 |
transcript.whisperx[11].end |
302.76 |
transcript.whisperx[11].text |
我們的制度現在是由我們是請能源署就在它的短購費率裡面有增加我們太陽能板的費用所以現在是由能源署這邊來幫我們發通知單由一些設置業者來繳錢那目前收的錢的情況是108到12年應收的費用是10億 |
transcript.whisperx[12].start |
306.684 |
transcript.whisperx[12].end |
329.764 |
transcript.whisperx[12].text |
沒有,我沒有在問你多少錢嘛,署長不要這樣啦,好不好你們回收流程是不是這樣,你這個人,我個人沒聽你聽,沒聽你聽,這樣不對吧這樣處理事情怎麼會對,你對自己的業務沒清楚到這種程度大型營利回收時必須先登入PV、IS系統報備環境部會請臨近的業者處理之後向能源署申請相關費用,對不對 |
transcript.whisperx[13].start |
332.09 |
transcript.whisperx[13].end |
351.947 |
transcript.whisperx[13].text |
這個已經省略很多了啦 其實一般業者都會直接跟這個反正就甲方乙方就會先簽訂合約啦萬一有這些狀況 那他們就會通知相關的業者來做處理嘛這是大型的嘛 應該是這樣嘛 矯正反矯正嘛對不對你小心加油 你人家可請清潔隊處理之清潔隊登陸PBIS系統轉交於相關業者處理之這個就有問題了啊 |
transcript.whisperx[14].start |
360.333 |
transcript.whisperx[14].end |
371.036 |
transcript.whisperx[14].text |
你交給哪一個清潔隊處理之?你為什麼這樣?結果你沒辦法清潔,就在處理這件事啊你現在還要回答,叫做個案?然後什麼叫個案?不是這樣啦,我覺得這樣會出很大的問題啦部長你請上來啦 |
transcript.whisperx[15].start |
381.168 |
transcript.whisperx[15].end |
403.125 |
transcript.whisperx[15].text |
組長 這個要討論一下 檢討一下啦 明確啦 好不好我只希望明確 因為你剛剛因為我剛剛有慶祝在主席台的時候在聆聽你講的時候 我就覺得很差異嘛因為我們都在基層 我們在跑嘛像這種事情我們經常會遇到就我遇到的清潔隊沒有在搜嘛我剛剛還問了別縣市的清潔隊有沒有在搜沒有啊 都沒在搜啊 他們都沒在搜啊這本身夾著就跟他們簽了合約啊老孫啊就對了 夾著就叫處理 夾著去處理啊 |
transcript.whisperx[16].start |
407.788 |
transcript.whisperx[16].end |
430.096 |
transcript.whisperx[16].text |
他們關電業者就找處理的業者去做處理啦不管你大型小型嘛那怎麼在你們這個回收程序是完全不一樣所以你才會這麼打嘛那你這麼打就出問題啊就不是這樣啊好 那我為什麼要提醒這個事情106年的時候在我們雲林大V鄉有一個已經沒有在營運的工廠堆了4200桶的消 切 切消液嘛 |
transcript.whisperx[17].start |
430.876 |
transcript.whisperx[17].end |
437.899 |
transcript.whisperx[17].text |
我對他有印証,真的有事,說得很清楚那怎麼處理他們關鍵盤處理相關的這些化學的物品等多久呢?一趟是五個月,等四、七、八個月,等多久不知道最後當然有移送法辦,後來有罰款後來又判刑,後來這4200桶的切消費跑去哪裡? |
transcript.whisperx[18].start |
463.824 |
transcript.whisperx[18].end |
486.941 |
transcript.whisperx[18].text |
4200桶喔我們要做太陽光電如果我們對這事情都沒有掌握我覺得我必須要來跟行政院做反應因為這事情我們不是現在在討論我曾經在院會執行就已經在前前前前的署長你署長的時候就特別提到說這種事情你如果不重視 |
transcript.whisperx[19].start |
488.062 |
transcript.whisperx[19].end |
515.493 |
transcript.whisperx[19].text |
當台灣的能源的政策一直朝這個方向去做發展然後我們又沒有後端 後續的一個處理的機制然後讓這四千兩百桶的五家輪的切消費囤亂在那個地方不曉得多久時間是被一個路跑的一個百姓發現到去舉報的咧啊可以堆置在那個地方嗎啊可以堆置這麼久嗎那後續 垮了 判刑了四千兩百桶的五家輪的切消費跑去哪裡 |
transcript.whisperx[20].start |
516.892 |
transcript.whisperx[20].end |
527.079 |
transcript.whisperx[20].text |
委員這個我們來去了解一下好不好你不可以到現在還不知道啊你到現在還不知道就糟糕了不知你會不會不知道你會不會不知道這樣用完會出問題啊這是當時多麼大的案件都已經見報了而且我們還在院會提出質詢的 |
transcript.whisperx[21].start |
543.12 |
transcript.whisperx[21].end |
563.167 |
transcript.whisperx[21].text |
今天的一個使用連線尚未到齊的太陽能光電板損壞了怎麼處理我們答揮所問我們不曉得程序處理太陽能光電板的切削液4200桶的5加侖的這麼大的數量到最終最後什麼地方處理掉了怎麼處理的你們不知道 |
transcript.whisperx[22].start |
566.057 |
transcript.whisperx[22].end |
593.019 |
transcript.whisperx[22].text |
包委員我們回去查一下這是在107年的時候當然就解除列管了當時是由地方政府提清理計畫書給地方政府審查之後他以清理計畫書的內容去執行那107年到現在因為解列我們再去查一下跟委員報告 以上如果地方政府江老天不熟悉相關的程序 |
transcript.whisperx[23].start |
595.37 |
transcript.whisperx[23].end |
610.892 |
transcript.whisperx[23].text |
講藍衣田叫做怠惰叫做堵職的情況之下那我們身為一個主管機關一個監督的單位那我們都不曉得這些東西跑去哪裡環境部到時候不用負責嗎 |
transcript.whisperx[24].start |
615.526 |
transcript.whisperx[24].end |
623.51 |
transcript.whisperx[24].text |
我沒有針對這兩個數據怎麼做,但是我剛才聽起來一直覺得很奇怪這不是現在發生的事情,他們已經實施多久了大型的、家用的怎麼處理,中國已經絕對有一個統一的標準了我了解的是,清潔廠就沒有你收債,你怎麼會說清潔廠有你收債 |
transcript.whisperx[25].start |
639.358 |
transcript.whisperx[25].end |
645.764 |
transcript.whisperx[25].text |
你又說清潔隊還被批准給你,你還把清潔隊處理,讓清潔隊聽你的話要表揚是真的要表揚但是我的理解是沒有啊委員這個我們回去來檢討一下所以如果通通沒有接受你們建議的,清潔隊沒有去搜,那緩之是不是要處分?當然你沒辦法對他處分嘛 |
transcript.whisperx[26].start |
664.551 |
transcript.whisperx[26].end |
685.991 |
transcript.whisperx[26].text |
不過我是覺得張達富很不好啦,真的很不好我要提醒部長,兩位署長請回啦我這邊聽到不是針對這兩個署長我是想說,但是張達富是顯然是...我知道你那個報告寫得很好啦你讓大家覺得他的態度跟應對都很好但是我是要保證你用人也是有問題喔 |
transcript.whisperx[27].start |
688.919 |
transcript.whisperx[27].end |
707.829 |
transcript.whisperx[27].text |
我提醒一下,老挖署,一樣在這個委會,發生什麼事情,勞動部的老挖署,最緊急是北分署,發生那些霸凌的,發生到最後救安基金等等等,那分署長後來遇到什麼狀況,我都不再贅述了。連那個署長,連那個署長兩年內都有101年的異動。 |
transcript.whisperx[28].start |
712.15 |
transcript.whisperx[28].end |
740.593 |
transcript.whisperx[28].text |
所以當時的部長對這個事情沒有處理,就衍生這樣的問題就剛剛我們也特別提到了,開場白你的第一個被質詢的,就是前的機場總隊的隊長嘛我講那個官部很大,但是他就看你大到那裡啊大到他這兒他也不容易開關頂到嘛你看那個不是幾案耶,那個不是一兩件耶,那是好幾件耶所以人民會對政府失去信心了連自己公部門的同仁都會對機關所長失去信心了 |
transcript.whisperx[29].start |
742.904 |
transcript.whisperx[29].end |
762.658 |
transcript.whisperx[29].text |
環境部怎麼可以做出這樣不好的紀錄沒有道理啊環境部照理講不應該發生這種事情而且也不是只有北華署不是老華署還有台鐵還有台鐵一個案件 |
transcript.whisperx[30].start |
766.69 |
transcript.whisperx[30].end |
792.453 |
transcript.whisperx[30].text |
我今天坦白講我是要針對部長的AI報告啦這個AI到時候這個碳排放的一個處理會增加到你還難預估的這樣的一個程度嘛我是在你的報告裡面有啦有看到你在28項裡面推動數位轉型啦AI協力解決環境啦列出了以愛技術解決環境議題內部共用這個行政系統導入AI服務總統杯 |
transcript.whisperx[31].start |
793.533 |
transcript.whisperx[31].end |
816.611 |
transcript.whisperx[31].text |
黑客松競賽只有AI應用這樣而已嗎?這個每一個都很難做我們現在其實已經很多的工作都在融入了例如說會議記錄啊然後例如說環評啊等等我們都有在融入啦我們每一個司署都有AI的工作正在進行當中你剛剛三二說你講一句話我聽了真的也覺得 |
transcript.whisperx[32].start |
817.443 |
transcript.whisperx[32].end |
838.426 |
transcript.whisperx[32].text |
也覺得非常的敬佩你說表示要先推動環境部的數位轉型然後希望主管們都必須要上數位轉型的課程高階主管要懂得分析數據科長等著要寫程式希望以後這些主管的能力可以達到對外面資訊公司挖角的程度 |
transcript.whisperx[33].start |
840.269 |
transcript.whisperx[33].end |
856.842 |
transcript.whisperx[33].text |
這補充說的嘛,就是我看現在應該不是要下程式,是面對這個AI產業的高碳排,環境部要怎麼來因應?能源署有一個應該是副署長吧,他也在講說未來AI半導體這些碳排放, |
transcript.whisperx[34].start |
857.83 |
transcript.whisperx[34].end |
869.937 |
transcript.whisperx[34].text |
要如何去降低基本上是沒有辦法的啦這是現實啊我們的報告裡面特別強調國家減碳新目標嘛2030年3.2、3.5分別一對照當時基準是2025的時候要達成減量分別是在2.8、3.2、3.8正負2%嘛對不對 |
transcript.whisperx[35].start |
885.899 |
transcript.whisperx[35].end |
914.63 |
transcript.whisperx[35].text |
那你有把這些算進去嗎?有包委員,我們現在是規劃2035年的用電需求量是到3500億度啦有把AI可能的需求都算進去了那目前大概是2800億度左右AI如果處理得好嘛,它或許,在你們報告也特別提到嘛它應用於怎麼煙露判斷啦、聲音監測啦怎麼波形石門瓦、屋頂的空間這個分布的季線調查等等等嘛然後 |
transcript.whisperx[36].start |
915.902 |
transcript.whisperx[36].end |
932.193 |
transcript.whisperx[36].text |
然後他或許還有機會管理得當這個是一個講法說AR的能工智能是雙面刃他雖然有高碳排的問題但如果產業界的一個評估AR在農業、能源、交通等領域運用得當的話預計還可以為全球經濟貢獻度高達5.2萬美元並減少4%的總溫室氣體的排放量 |
transcript.whisperx[37].start |
944.881 |
transcript.whisperx[37].end |
970.541 |
transcript.whisperx[37].text |
是這樣嗎?是對嗎?是但是你的報告裡面我沒有看到因為你分別的30年、32年、35年只是在2%、32年及38年增幅2%對 包委我們是用AI需求的用電量增加放進去但是沒有算出AI讓我們可以減碳的規模我們目前在這個近零的路徑裡面沒有算得清楚那我們要跟部長再特別要求一份就是AI對減碳的衝擊與因應 |
transcript.whisperx[38].start |
972.608 |
transcript.whisperx[38].end |
984.739 |
transcript.whisperx[38].text |
比較詳細的報告可以嗎好因為他就跟用電需求啦所以呃好這個我們想辦法來來討論一下內部來討論一下好再幫部長一個月可以嗎好可以謝謝謝謝部長謝謝好謝謝劉建國稍微的發言也謝謝部長的答詢 |