IVOD_ID |
160787 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160787 |
日期 |
2025-04-30 |
會議資料.會議代碼 |
委員會-11-3-19-11 |
會議資料.會議代碼:str |
第11屆第3會期經濟委員會第11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 |
11 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
19 |
會議資料.委員會代碼:str[0] |
經濟委員會 |
會議資料.標題 |
第11屆第3會期經濟委員會第11次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-04-30T11:01:53+08:00 |
結束時間 |
2025-04-30T11:16:48+08:00 |
影片長度 |
00:14:55 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/b6da7da99b9423690cec3567f0b7c1b43c0ba1d923b4b8dbd78ea87b1712f882f6c8e88a0e872c475ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
張啓楷 |
委員發言時間 |
11:01:53 - 11:16:48 |
會議時間 |
2025-04-30T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期經濟委員會第11次全體委員會議(事由:審查:
一、本院委員林宜瑾等22人擬具「動物保護法部分條文修正草案」案。
二、本院委員呂玉玲等16人擬具「動物保護法第十條條文修正草案」案。
三、本院委員呂玉玲等16人擬具「動物保護法第二十五條及第二十五條之一條文修正草案」案。
四、本院委員張智倫等16人擬具「動物保護法第十條條文修正草案」案。
五、本院委員劉建國等16人擬具「動物保護法部分條文修正草案」案。
六、本院台灣民眾黨黨團擬具「動物保護法第二十五條之二條文修正草案」案。
七、本院委員林岱樺等21人擬具「動物保護法第十四條之一、第十四條之二及第三十條條文修正草案」案。
八、本院委員徐巧芯等17人擬具「動物保護法部分條文修正草案」案。
九、本院委員鄭天財Sra Kacaw等16人擬具「動物保護法第二條及第十條條文修正草案」案。
十、本院委員李坤城等22人擬具「動物保護法部分條文修正草案」案。
十一、本院委員廖先翔等19人擬具「動物保護法部分條文修正草案」案。
十二、本院台灣民眾黨黨團擬具「動物保護法部分條文修正草案」案。
十三、本院委員羅廷瑋等18人擬具「動物保護法部分條文修正草案」案。
十四、本院委員郭昱晴等16人擬具「動物保護法部分條文修正草案」案。
十五、本院委員楊瓊瓔等21人擬具「動物保護法第二十五條及第二十五條之一條文修正草案」案。
十六、本院委員陳亭妃等18人擬具「動物保護法第五條、第二十條及第二十五條條文修正草案」案。
十七、本院委員林思銘等18人擬具「動物保護法部分條文修正草案」案。
十八、本院委員洪孟楷等16人擬具「動物保護法部分條文修正草案」案。
十九、本院台灣民眾黨黨團擬具「動物保護法第二條及第五條條文修正草案」案。
二十、本院委員游顥等23人擬具「動物保護法第二十五條之一條文修正草案」案。
二十一、本院委員葉元之等17人擬具「動物保護法第十條條文修正草案」案。
二十二、本院委員葉元之等17人擬具「動物保護法增訂第十四條之三條文草案」案。
二十三、本院委員葉元之等17人擬具「動物保護法第二十五條條文修正草案」案。
二十四、本院委員葉元之等17人擬具「動物保護法第二十五條之二條文修正草案」案。
二十五、本院委員蘇巧慧等17人擬具「動物保護法部分條文修正草案」案。
二十六、本院委員吳沛憶等17人擬具「動物保護法第二十二條之四條文修正草案」案。(詢答)
【4月30日及5月1日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
3.15284375 |
transcript.pyannote[0].end |
5.41409375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
22.59284375 |
transcript.pyannote[1].end |
26.01846875 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
23.74034375 |
transcript.pyannote[2].end |
24.78659375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
34.11846875 |
transcript.pyannote[3].end |
34.54034375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
35.19846875 |
transcript.pyannote[4].end |
39.75471875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
40.02471875 |
transcript.pyannote[5].end |
41.40846875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
42.82596875 |
transcript.pyannote[6].end |
47.60159375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
47.63534375 |
transcript.pyannote[7].end |
50.36909375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
50.65596875 |
transcript.pyannote[8].end |
59.39721875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
59.78534375 |
transcript.pyannote[9].end |
61.38846875 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
61.40534375 |
transcript.pyannote[10].end |
61.94534375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
62.31659375 |
transcript.pyannote[11].end |
65.62409375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
63.59909375 |
transcript.pyannote[12].end |
63.97034375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
66.01221875 |
transcript.pyannote[13].end |
70.01159375 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
69.92721875 |
transcript.pyannote[14].end |
70.31534375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
70.31534375 |
transcript.pyannote[15].end |
70.72034375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
71.02409375 |
transcript.pyannote[16].end |
72.67784375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
72.55971875 |
transcript.pyannote[17].end |
72.91409375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
72.76221875 |
transcript.pyannote[18].end |
74.01096875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
74.36534375 |
transcript.pyannote[19].end |
77.40284375 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
78.38159375 |
transcript.pyannote[20].end |
83.05596875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
84.72659375 |
transcript.pyannote[21].end |
87.00471875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
85.75596875 |
transcript.pyannote[22].end |
88.57409375 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
87.98346875 |
transcript.pyannote[23].end |
89.55284375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
89.92409375 |
transcript.pyannote[24].end |
92.21909375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
92.37096875 |
transcript.pyannote[25].end |
96.58971875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
96.69096875 |
transcript.pyannote[26].end |
102.56346875 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
102.98534375 |
transcript.pyannote[27].end |
108.03096875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
107.64284375 |
transcript.pyannote[28].end |
110.10659375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
110.71409375 |
transcript.pyannote[29].end |
113.56596875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
113.97096875 |
transcript.pyannote[30].end |
114.40971875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
114.96659375 |
transcript.pyannote[31].end |
122.27346875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
122.35784375 |
transcript.pyannote[32].end |
133.05659375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
133.69784375 |
transcript.pyannote[33].end |
136.49909375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
137.15721875 |
transcript.pyannote[34].end |
142.15221875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
142.81034375 |
transcript.pyannote[35].end |
146.40471875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
145.30784375 |
transcript.pyannote[36].end |
146.03346875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
146.40471875 |
transcript.pyannote[37].end |
146.67471875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
146.67471875 |
transcript.pyannote[38].end |
151.99034375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
152.71596875 |
transcript.pyannote[39].end |
152.73284375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
152.73284375 |
transcript.pyannote[40].end |
155.41596875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
155.75346875 |
transcript.pyannote[41].end |
167.05971875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
163.44846875 |
transcript.pyannote[42].end |
164.17409375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
167.05971875 |
transcript.pyannote[43].end |
174.34971875 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
167.38034375 |
transcript.pyannote[44].end |
169.47284375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
174.85596875 |
transcript.pyannote[45].end |
185.99346875 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
176.93159375 |
transcript.pyannote[46].end |
177.11721875 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
178.53471875 |
transcript.pyannote[47].end |
178.97346875 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
179.41221875 |
transcript.pyannote[48].end |
179.74971875 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
180.74534375 |
transcript.pyannote[49].end |
181.26846875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
187.22534375 |
transcript.pyannote[50].end |
190.60034375 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
190.60034375 |
transcript.pyannote[51].end |
190.88721875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
190.88721875 |
transcript.pyannote[52].end |
191.47784375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
191.47784375 |
transcript.pyannote[53].end |
191.71409375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
191.71409375 |
transcript.pyannote[54].end |
195.83159375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
196.43909375 |
transcript.pyannote[55].end |
196.82721875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
197.56971875 |
transcript.pyannote[56].end |
197.87346875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
199.00409375 |
transcript.pyannote[57].end |
200.16846875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
201.24846875 |
transcript.pyannote[58].end |
201.60284375 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
202.15971875 |
transcript.pyannote[59].end |
203.03721875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
203.23971875 |
transcript.pyannote[60].end |
203.98221875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
204.77534375 |
transcript.pyannote[61].end |
205.43346875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
206.58096875 |
transcript.pyannote[62].end |
207.42471875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
210.00659375 |
transcript.pyannote[63].end |
211.17096875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
211.55909375 |
transcript.pyannote[64].end |
212.79096875 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
213.12846875 |
transcript.pyannote[65].end |
213.90471875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
214.46159375 |
transcript.pyannote[66].end |
215.77784375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
219.38909375 |
transcript.pyannote[67].end |
222.05534375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
223.01721875 |
transcript.pyannote[68].end |
223.84409375 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
226.02096875 |
transcript.pyannote[69].end |
226.37534375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
226.78034375 |
transcript.pyannote[70].end |
227.62409375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
228.34971875 |
transcript.pyannote[71].end |
229.51409375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
229.58159375 |
transcript.pyannote[72].end |
230.15534375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
231.18471875 |
transcript.pyannote[73].end |
231.97784375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
233.15909375 |
transcript.pyannote[74].end |
236.44971875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
237.71534375 |
transcript.pyannote[75].end |
238.64346875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
238.91346875 |
transcript.pyannote[76].end |
239.95971875 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
239.97659375 |
transcript.pyannote[77].end |
240.02721875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
240.07784375 |
transcript.pyannote[78].end |
242.32221875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
243.57096875 |
transcript.pyannote[79].end |
244.26284375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
245.17409375 |
transcript.pyannote[80].end |
246.30471875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
248.73471875 |
transcript.pyannote[81].end |
254.01659375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
254.45534375 |
transcript.pyannote[82].end |
255.51846875 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
255.51846875 |
transcript.pyannote[83].end |
255.92346875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
256.02471875 |
transcript.pyannote[84].end |
259.18034375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
258.01596875 |
transcript.pyannote[85].end |
258.16784375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
258.20159375 |
transcript.pyannote[86].end |
258.38721875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
259.92284375 |
transcript.pyannote[87].end |
261.72846875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
263.73659375 |
transcript.pyannote[88].end |
265.22159375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
265.99784375 |
transcript.pyannote[89].end |
268.02284375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
268.22534375 |
transcript.pyannote[90].end |
268.54596875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
269.08596875 |
transcript.pyannote[91].end |
274.82346875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
275.31284375 |
transcript.pyannote[92].end |
275.92034375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
276.42659375 |
transcript.pyannote[93].end |
277.38846875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
277.96221875 |
transcript.pyannote[94].end |
285.23534375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
285.37034375 |
transcript.pyannote[95].end |
285.48846875 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
285.48846875 |
transcript.pyannote[96].end |
285.69096875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
285.69096875 |
transcript.pyannote[97].end |
285.96096875 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
285.96096875 |
transcript.pyannote[98].end |
286.51784375 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
286.77096875 |
transcript.pyannote[99].end |
315.72846875 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
315.94784375 |
transcript.pyannote[100].end |
317.16284375 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
317.88846875 |
transcript.pyannote[101].end |
318.37784375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
318.64784375 |
transcript.pyannote[102].end |
318.98534375 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
319.50846875 |
transcript.pyannote[103].end |
320.50409375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
320.89221875 |
transcript.pyannote[104].end |
324.73971875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
325.98846875 |
transcript.pyannote[105].end |
326.56221875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
327.22034375 |
transcript.pyannote[106].end |
328.38471875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
330.03846875 |
transcript.pyannote[107].end |
330.52784375 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
331.48971875 |
transcript.pyannote[108].end |
331.81034375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
332.92409375 |
transcript.pyannote[109].end |
334.24034375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
334.49346875 |
transcript.pyannote[110].end |
334.81409375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
335.37096875 |
transcript.pyannote[111].end |
337.46346875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
337.95284375 |
transcript.pyannote[112].end |
344.02784375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
344.12909375 |
transcript.pyannote[113].end |
346.50846875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
347.55471875 |
transcript.pyannote[114].end |
348.82034375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
349.52909375 |
transcript.pyannote[115].end |
351.11534375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
351.30096875 |
transcript.pyannote[116].end |
352.80284375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
353.91659375 |
transcript.pyannote[117].end |
356.65034375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
356.80221875 |
transcript.pyannote[118].end |
360.44721875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
360.86909375 |
transcript.pyannote[119].end |
364.10909375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
365.25659375 |
transcript.pyannote[120].end |
371.61846875 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
372.05721875 |
transcript.pyannote[121].end |
372.83346875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
374.13284375 |
transcript.pyannote[122].end |
374.68971875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
375.36471875 |
transcript.pyannote[123].end |
375.66846875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
375.87096875 |
transcript.pyannote[124].end |
376.76534375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
377.28846875 |
transcript.pyannote[125].end |
378.92534375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
379.66784375 |
transcript.pyannote[126].end |
381.27096875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
381.74346875 |
transcript.pyannote[127].end |
382.80659375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
383.07659375 |
transcript.pyannote[128].end |
385.55721875 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
385.82721875 |
transcript.pyannote[129].end |
387.07596875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
387.29534375 |
transcript.pyannote[130].end |
388.08846875 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
388.67909375 |
transcript.pyannote[131].end |
390.24846875 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
391.07534375 |
transcript.pyannote[132].end |
392.07096875 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
394.55159375 |
transcript.pyannote[133].end |
395.68221875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
395.73284375 |
transcript.pyannote[134].end |
396.62721875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
397.08284375 |
transcript.pyannote[135].end |
398.09534375 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
399.04034375 |
transcript.pyannote[136].end |
400.20471875 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
401.11596875 |
transcript.pyannote[137].end |
401.53784375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
402.66846875 |
transcript.pyannote[138].end |
403.51221875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
404.54159375 |
transcript.pyannote[139].end |
404.91284375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
405.55409375 |
transcript.pyannote[140].end |
408.01784375 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
408.18659375 |
transcript.pyannote[141].end |
409.53659375 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
411.02159375 |
transcript.pyannote[142].end |
411.51096875 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
411.62909375 |
transcript.pyannote[143].end |
413.23221875 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
413.41784375 |
transcript.pyannote[144].end |
414.54846875 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
415.29096875 |
transcript.pyannote[145].end |
418.22721875 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
418.59846875 |
transcript.pyannote[146].end |
423.94784375 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
424.72409375 |
transcript.pyannote[147].end |
424.97721875 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
424.97721875 |
transcript.pyannote[148].end |
425.28096875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
425.28096875 |
transcript.pyannote[149].end |
425.34846875 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
425.39909375 |
transcript.pyannote[150].end |
425.46659375 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
425.46659375 |
transcript.pyannote[151].end |
426.25971875 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
426.25971875 |
transcript.pyannote[152].end |
426.27659375 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
426.56346875 |
transcript.pyannote[153].end |
430.69784375 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
431.27159375 |
transcript.pyannote[154].end |
442.44284375 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
442.72971875 |
transcript.pyannote[155].end |
460.95471875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
461.25846875 |
transcript.pyannote[156].end |
465.24096875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
465.96659375 |
transcript.pyannote[157].end |
484.95096875 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
485.22096875 |
transcript.pyannote[158].end |
487.04346875 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
487.51596875 |
transcript.pyannote[159].end |
489.69284375 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
490.16534375 |
transcript.pyannote[160].end |
492.89909375 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
492.96659375 |
transcript.pyannote[161].end |
500.39159375 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
495.68346875 |
transcript.pyannote[162].end |
496.30784375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
496.96596875 |
transcript.pyannote[163].end |
497.32034375 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
499.19346875 |
transcript.pyannote[164].end |
502.07909375 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
501.15096875 |
transcript.pyannote[165].end |
504.91409375 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
505.26846875 |
transcript.pyannote[166].end |
509.31846875 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
509.84159375 |
transcript.pyannote[167].end |
512.08596875 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
512.08596875 |
transcript.pyannote[168].end |
512.45721875 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
512.38971875 |
transcript.pyannote[169].end |
519.29159375 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
519.54471875 |
transcript.pyannote[170].end |
523.69596875 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
521.90721875 |
transcript.pyannote[171].end |
522.81846875 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
523.37534375 |
transcript.pyannote[172].end |
525.31596875 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
525.83909375 |
transcript.pyannote[173].end |
529.73721875 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
530.49659375 |
transcript.pyannote[174].end |
530.85096875 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
532.62284375 |
transcript.pyannote[175].end |
533.02784375 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
533.11221875 |
transcript.pyannote[176].end |
534.95159375 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
536.14971875 |
transcript.pyannote[177].end |
538.02284375 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
539.71034375 |
transcript.pyannote[178].end |
540.62159375 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
540.63846875 |
transcript.pyannote[179].end |
542.66346875 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
542.81534375 |
transcript.pyannote[180].end |
543.92909375 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
544.94159375 |
transcript.pyannote[181].end |
546.03846875 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
546.93284375 |
transcript.pyannote[182].end |
548.24909375 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
548.70471875 |
transcript.pyannote[183].end |
550.64534375 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
550.72971875 |
transcript.pyannote[184].end |
551.84346875 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
552.36659375 |
transcript.pyannote[185].end |
557.22659375 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
552.65346875 |
transcript.pyannote[186].end |
553.81784375 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
558.25596875 |
transcript.pyannote[187].end |
562.08659375 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
562.32284375 |
transcript.pyannote[188].end |
564.36471875 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
564.65159375 |
transcript.pyannote[189].end |
581.86409375 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
582.06659375 |
transcript.pyannote[190].end |
583.78784375 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
582.60659375 |
transcript.pyannote[191].end |
582.79221875 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
583.51784375 |
transcript.pyannote[192].end |
587.48346875 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
589.23846875 |
transcript.pyannote[193].end |
590.03159375 |
transcript.pyannote[194].speaker |
SPEAKER_00 |
transcript.pyannote[194].start |
590.52096875 |
transcript.pyannote[194].end |
595.95471875 |
transcript.pyannote[195].speaker |
SPEAKER_00 |
transcript.pyannote[195].start |
596.44409375 |
transcript.pyannote[195].end |
598.03034375 |
transcript.pyannote[196].speaker |
SPEAKER_00 |
transcript.pyannote[196].start |
598.35096875 |
transcript.pyannote[196].end |
598.82346875 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
598.57034375 |
transcript.pyannote[197].end |
598.65471875 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
598.82346875 |
transcript.pyannote[198].end |
599.07659375 |
transcript.pyannote[199].speaker |
SPEAKER_00 |
transcript.pyannote[199].start |
599.07659375 |
transcript.pyannote[199].end |
602.08034375 |
transcript.pyannote[200].speaker |
SPEAKER_00 |
transcript.pyannote[200].start |
602.36721875 |
transcript.pyannote[200].end |
604.18971875 |
transcript.pyannote[201].speaker |
SPEAKER_00 |
transcript.pyannote[201].start |
604.61159375 |
transcript.pyannote[201].end |
605.03346875 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
605.28659375 |
transcript.pyannote[202].end |
608.96534375 |
transcript.pyannote[203].speaker |
SPEAKER_00 |
transcript.pyannote[203].start |
609.33659375 |
transcript.pyannote[203].end |
611.00721875 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
609.60659375 |
transcript.pyannote[204].end |
609.85971875 |
transcript.pyannote[205].speaker |
SPEAKER_00 |
transcript.pyannote[205].start |
611.24346875 |
transcript.pyannote[205].end |
616.93034375 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
611.34471875 |
transcript.pyannote[206].end |
611.47971875 |
transcript.pyannote[207].speaker |
SPEAKER_00 |
transcript.pyannote[207].start |
617.85846875 |
transcript.pyannote[207].end |
619.20846875 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
619.66409375 |
transcript.pyannote[208].end |
621.18284375 |
transcript.pyannote[209].speaker |
SPEAKER_00 |
transcript.pyannote[209].start |
621.97596875 |
transcript.pyannote[209].end |
625.48596875 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
625.72221875 |
transcript.pyannote[210].end |
628.10159375 |
transcript.pyannote[211].speaker |
SPEAKER_00 |
transcript.pyannote[211].start |
628.43909375 |
transcript.pyannote[211].end |
629.80596875 |
transcript.pyannote[212].speaker |
SPEAKER_00 |
transcript.pyannote[212].start |
630.05909375 |
transcript.pyannote[212].end |
641.21346875 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
642.04034375 |
transcript.pyannote[213].end |
642.78284375 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
642.90096875 |
transcript.pyannote[214].end |
643.47471875 |
transcript.pyannote[215].speaker |
SPEAKER_00 |
transcript.pyannote[215].start |
644.33534375 |
transcript.pyannote[215].end |
649.58346875 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
650.00534375 |
transcript.pyannote[216].end |
650.66346875 |
transcript.pyannote[217].speaker |
SPEAKER_00 |
transcript.pyannote[217].start |
651.13596875 |
transcript.pyannote[217].end |
653.19471875 |
transcript.pyannote[218].speaker |
SPEAKER_00 |
transcript.pyannote[218].start |
653.59971875 |
transcript.pyannote[218].end |
655.54034375 |
transcript.pyannote[219].speaker |
SPEAKER_00 |
transcript.pyannote[219].start |
656.04659375 |
transcript.pyannote[219].end |
657.83534375 |
transcript.pyannote[220].speaker |
SPEAKER_00 |
transcript.pyannote[220].start |
658.49346875 |
transcript.pyannote[220].end |
661.58159375 |
transcript.pyannote[221].speaker |
SPEAKER_00 |
transcript.pyannote[221].start |
661.95284375 |
transcript.pyannote[221].end |
662.72909375 |
transcript.pyannote[222].speaker |
SPEAKER_00 |
transcript.pyannote[222].start |
663.58971875 |
transcript.pyannote[222].end |
665.95221875 |
transcript.pyannote[223].speaker |
SPEAKER_01 |
transcript.pyannote[223].start |
663.64034375 |
transcript.pyannote[223].end |
665.07471875 |
transcript.pyannote[224].speaker |
SPEAKER_01 |
transcript.pyannote[224].start |
665.95221875 |
transcript.pyannote[224].end |
666.03659375 |
transcript.pyannote[225].speaker |
SPEAKER_00 |
transcript.pyannote[225].start |
666.03659375 |
transcript.pyannote[225].end |
667.01534375 |
transcript.pyannote[226].speaker |
SPEAKER_01 |
transcript.pyannote[226].start |
667.01534375 |
transcript.pyannote[226].end |
667.03221875 |
transcript.pyannote[227].speaker |
SPEAKER_01 |
transcript.pyannote[227].start |
667.28534375 |
transcript.pyannote[227].end |
668.36534375 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
668.56784375 |
transcript.pyannote[228].end |
674.76096875 |
transcript.pyannote[229].speaker |
SPEAKER_01 |
transcript.pyannote[229].start |
675.19971875 |
transcript.pyannote[229].end |
675.46971875 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
675.52034375 |
transcript.pyannote[230].end |
686.94471875 |
transcript.pyannote[231].speaker |
SPEAKER_01 |
transcript.pyannote[231].start |
687.26534375 |
transcript.pyannote[231].end |
691.80471875 |
transcript.pyannote[232].speaker |
SPEAKER_00 |
transcript.pyannote[232].start |
691.80471875 |
transcript.pyannote[232].end |
694.03221875 |
transcript.pyannote[233].speaker |
SPEAKER_01 |
transcript.pyannote[233].start |
694.09971875 |
transcript.pyannote[233].end |
699.93846875 |
transcript.pyannote[234].speaker |
SPEAKER_00 |
transcript.pyannote[234].start |
695.38221875 |
transcript.pyannote[234].end |
697.55909375 |
transcript.pyannote[235].speaker |
SPEAKER_00 |
transcript.pyannote[235].start |
700.00596875 |
transcript.pyannote[235].end |
701.25471875 |
transcript.pyannote[236].speaker |
SPEAKER_00 |
transcript.pyannote[236].start |
701.72721875 |
transcript.pyannote[236].end |
703.87034375 |
transcript.pyannote[237].speaker |
SPEAKER_01 |
transcript.pyannote[237].start |
701.74409375 |
transcript.pyannote[237].end |
702.52034375 |
transcript.pyannote[238].speaker |
SPEAKER_00 |
transcript.pyannote[238].start |
704.25846875 |
transcript.pyannote[238].end |
708.67971875 |
transcript.pyannote[239].speaker |
SPEAKER_00 |
transcript.pyannote[239].start |
708.96659375 |
transcript.pyannote[239].end |
711.56534375 |
transcript.pyannote[240].speaker |
SPEAKER_00 |
transcript.pyannote[240].start |
711.97034375 |
transcript.pyannote[240].end |
713.69159375 |
transcript.pyannote[241].speaker |
SPEAKER_00 |
transcript.pyannote[241].start |
714.24846875 |
transcript.pyannote[241].end |
715.10909375 |
transcript.pyannote[242].speaker |
SPEAKER_00 |
transcript.pyannote[242].start |
715.14284375 |
transcript.pyannote[242].end |
715.93596875 |
transcript.pyannote[243].speaker |
SPEAKER_00 |
transcript.pyannote[243].start |
717.04971875 |
transcript.pyannote[243].end |
717.77534375 |
transcript.pyannote[244].speaker |
SPEAKER_00 |
transcript.pyannote[244].start |
718.41659375 |
transcript.pyannote[244].end |
720.93096875 |
transcript.pyannote[245].speaker |
SPEAKER_00 |
transcript.pyannote[245].start |
721.06596875 |
transcript.pyannote[245].end |
725.62221875 |
transcript.pyannote[246].speaker |
SPEAKER_00 |
transcript.pyannote[246].start |
726.01034375 |
transcript.pyannote[246].end |
727.02284375 |
transcript.pyannote[247].speaker |
SPEAKER_00 |
transcript.pyannote[247].start |
727.49534375 |
transcript.pyannote[247].end |
729.23346875 |
transcript.pyannote[248].speaker |
SPEAKER_00 |
transcript.pyannote[248].start |
729.38534375 |
transcript.pyannote[248].end |
732.38909375 |
transcript.pyannote[249].speaker |
SPEAKER_00 |
transcript.pyannote[249].start |
732.79409375 |
transcript.pyannote[249].end |
737.13096875 |
transcript.pyannote[250].speaker |
SPEAKER_00 |
transcript.pyannote[250].start |
737.99159375 |
transcript.pyannote[250].end |
739.29096875 |
transcript.pyannote[251].speaker |
SPEAKER_00 |
transcript.pyannote[251].start |
739.52721875 |
transcript.pyannote[251].end |
741.45096875 |
transcript.pyannote[252].speaker |
SPEAKER_00 |
transcript.pyannote[252].start |
741.80534375 |
transcript.pyannote[252].end |
744.38721875 |
transcript.pyannote[253].speaker |
SPEAKER_00 |
transcript.pyannote[253].start |
744.67409375 |
transcript.pyannote[253].end |
745.48409375 |
transcript.pyannote[254].speaker |
SPEAKER_00 |
transcript.pyannote[254].start |
745.90596875 |
transcript.pyannote[254].end |
747.12096875 |
transcript.pyannote[255].speaker |
SPEAKER_00 |
transcript.pyannote[255].start |
747.64409375 |
transcript.pyannote[255].end |
748.01534375 |
transcript.pyannote[256].speaker |
SPEAKER_00 |
transcript.pyannote[256].start |
748.72409375 |
transcript.pyannote[256].end |
750.19221875 |
transcript.pyannote[257].speaker |
SPEAKER_01 |
transcript.pyannote[257].start |
750.19221875 |
transcript.pyannote[257].end |
750.22596875 |
transcript.pyannote[258].speaker |
SPEAKER_00 |
transcript.pyannote[258].start |
750.44534375 |
transcript.pyannote[258].end |
750.96846875 |
transcript.pyannote[259].speaker |
SPEAKER_01 |
transcript.pyannote[259].start |
750.96846875 |
transcript.pyannote[259].end |
752.01471875 |
transcript.pyannote[260].speaker |
SPEAKER_00 |
transcript.pyannote[260].start |
751.57596875 |
transcript.pyannote[260].end |
754.69784375 |
transcript.pyannote[261].speaker |
SPEAKER_01 |
transcript.pyannote[261].start |
754.36034375 |
transcript.pyannote[261].end |
763.03409375 |
transcript.pyannote[262].speaker |
SPEAKER_01 |
transcript.pyannote[262].start |
763.20284375 |
transcript.pyannote[262].end |
769.83471875 |
transcript.pyannote[263].speaker |
SPEAKER_00 |
transcript.pyannote[263].start |
769.83471875 |
transcript.pyannote[263].end |
770.18909375 |
transcript.pyannote[264].speaker |
SPEAKER_00 |
transcript.pyannote[264].start |
770.74596875 |
transcript.pyannote[264].end |
774.52596875 |
transcript.pyannote[265].speaker |
SPEAKER_00 |
transcript.pyannote[265].start |
775.01534375 |
transcript.pyannote[265].end |
775.70721875 |
transcript.pyannote[266].speaker |
SPEAKER_00 |
transcript.pyannote[266].start |
775.80846875 |
transcript.pyannote[266].end |
777.74909375 |
transcript.pyannote[267].speaker |
SPEAKER_00 |
transcript.pyannote[267].start |
778.05284375 |
transcript.pyannote[267].end |
779.79096875 |
transcript.pyannote[268].speaker |
SPEAKER_01 |
transcript.pyannote[268].start |
778.10346875 |
transcript.pyannote[268].end |
778.54221875 |
transcript.pyannote[269].speaker |
SPEAKER_00 |
transcript.pyannote[269].start |
780.24659375 |
transcript.pyannote[269].end |
782.01846875 |
transcript.pyannote[270].speaker |
SPEAKER_01 |
transcript.pyannote[270].start |
780.85409375 |
transcript.pyannote[270].end |
781.25909375 |
transcript.pyannote[271].speaker |
SPEAKER_00 |
transcript.pyannote[271].start |
782.49096875 |
transcript.pyannote[271].end |
785.41034375 |
transcript.pyannote[272].speaker |
SPEAKER_00 |
transcript.pyannote[272].start |
785.62971875 |
transcript.pyannote[272].end |
789.89909375 |
transcript.pyannote[273].speaker |
SPEAKER_00 |
transcript.pyannote[273].start |
790.67534375 |
transcript.pyannote[273].end |
796.83471875 |
transcript.pyannote[274].speaker |
SPEAKER_01 |
transcript.pyannote[274].start |
791.68784375 |
transcript.pyannote[274].end |
793.66221875 |
transcript.pyannote[275].speaker |
SPEAKER_00 |
transcript.pyannote[275].start |
797.27346875 |
transcript.pyannote[275].end |
798.75846875 |
transcript.pyannote[276].speaker |
SPEAKER_00 |
transcript.pyannote[276].start |
799.23096875 |
transcript.pyannote[276].end |
803.66909375 |
transcript.pyannote[277].speaker |
SPEAKER_00 |
transcript.pyannote[277].start |
803.98971875 |
transcript.pyannote[277].end |
805.17096875 |
transcript.pyannote[278].speaker |
SPEAKER_00 |
transcript.pyannote[278].start |
805.82909375 |
transcript.pyannote[278].end |
807.01034375 |
transcript.pyannote[279].speaker |
SPEAKER_01 |
transcript.pyannote[279].start |
807.01034375 |
transcript.pyannote[279].end |
807.39846875 |
transcript.pyannote[280].speaker |
SPEAKER_00 |
transcript.pyannote[280].start |
807.31409375 |
transcript.pyannote[280].end |
811.11096875 |
transcript.pyannote[281].speaker |
SPEAKER_01 |
transcript.pyannote[281].start |
811.24596875 |
transcript.pyannote[281].end |
811.29659375 |
transcript.pyannote[282].speaker |
SPEAKER_00 |
transcript.pyannote[282].start |
811.29659375 |
transcript.pyannote[282].end |
812.24159375 |
transcript.pyannote[283].speaker |
SPEAKER_01 |
transcript.pyannote[283].start |
811.31346875 |
transcript.pyannote[283].end |
817.87784375 |
transcript.pyannote[284].speaker |
SPEAKER_01 |
transcript.pyannote[284].start |
818.01284375 |
transcript.pyannote[284].end |
820.47659375 |
transcript.pyannote[285].speaker |
SPEAKER_01 |
transcript.pyannote[285].start |
821.25284375 |
transcript.pyannote[285].end |
825.45471875 |
transcript.pyannote[286].speaker |
SPEAKER_01 |
transcript.pyannote[286].start |
825.97784375 |
transcript.pyannote[286].end |
829.63971875 |
transcript.pyannote[287].speaker |
SPEAKER_00 |
transcript.pyannote[287].start |
829.74096875 |
transcript.pyannote[287].end |
830.88846875 |
transcript.pyannote[288].speaker |
SPEAKER_01 |
transcript.pyannote[288].start |
830.88846875 |
transcript.pyannote[288].end |
830.92221875 |
transcript.pyannote[289].speaker |
SPEAKER_00 |
transcript.pyannote[289].start |
830.92221875 |
transcript.pyannote[289].end |
834.68534375 |
transcript.pyannote[290].speaker |
SPEAKER_01 |
transcript.pyannote[290].start |
832.94721875 |
transcript.pyannote[290].end |
841.14846875 |
transcript.pyannote[291].speaker |
SPEAKER_00 |
transcript.pyannote[291].start |
836.06909375 |
transcript.pyannote[291].end |
836.74409375 |
transcript.pyannote[292].speaker |
SPEAKER_00 |
transcript.pyannote[292].start |
838.56659375 |
transcript.pyannote[292].end |
844.45596875 |
transcript.pyannote[293].speaker |
SPEAKER_01 |
transcript.pyannote[293].start |
843.51096875 |
transcript.pyannote[293].end |
847.08846875 |
transcript.pyannote[294].speaker |
SPEAKER_00 |
transcript.pyannote[294].start |
846.07596875 |
transcript.pyannote[294].end |
846.59909375 |
transcript.pyannote[295].speaker |
SPEAKER_00 |
transcript.pyannote[295].start |
846.97034375 |
transcript.pyannote[295].end |
851.99909375 |
transcript.pyannote[296].speaker |
SPEAKER_00 |
transcript.pyannote[296].start |
852.04971875 |
transcript.pyannote[296].end |
852.11721875 |
transcript.pyannote[297].speaker |
SPEAKER_01 |
transcript.pyannote[297].start |
852.11721875 |
transcript.pyannote[297].end |
857.63534375 |
transcript.pyannote[298].speaker |
SPEAKER_00 |
transcript.pyannote[298].start |
852.50534375 |
transcript.pyannote[298].end |
853.93971875 |
transcript.pyannote[299].speaker |
SPEAKER_00 |
transcript.pyannote[299].start |
857.63534375 |
transcript.pyannote[299].end |
859.76159375 |
transcript.pyannote[300].speaker |
SPEAKER_01 |
transcript.pyannote[300].start |
857.75346875 |
transcript.pyannote[300].end |
857.77034375 |
transcript.pyannote[301].speaker |
SPEAKER_01 |
transcript.pyannote[301].start |
857.83784375 |
transcript.pyannote[301].end |
858.10784375 |
transcript.pyannote[302].speaker |
SPEAKER_01 |
transcript.pyannote[302].start |
858.96846875 |
transcript.pyannote[302].end |
865.85346875 |
transcript.pyannote[303].speaker |
SPEAKER_00 |
transcript.pyannote[303].start |
865.39784375 |
transcript.pyannote[303].end |
868.89096875 |
transcript.pyannote[304].speaker |
SPEAKER_00 |
transcript.pyannote[304].start |
869.26221875 |
transcript.pyannote[304].end |
870.07221875 |
transcript.pyannote[305].speaker |
SPEAKER_00 |
transcript.pyannote[305].start |
870.73034375 |
transcript.pyannote[305].end |
872.29971875 |
transcript.pyannote[306].speaker |
SPEAKER_01 |
transcript.pyannote[306].start |
872.28284375 |
transcript.pyannote[306].end |
872.62034375 |
transcript.pyannote[307].speaker |
SPEAKER_00 |
transcript.pyannote[307].start |
872.53596875 |
transcript.pyannote[307].end |
873.63284375 |
transcript.pyannote[308].speaker |
SPEAKER_00 |
transcript.pyannote[308].start |
874.18971875 |
transcript.pyannote[308].end |
876.88971875 |
transcript.pyannote[309].speaker |
SPEAKER_00 |
transcript.pyannote[309].start |
877.32846875 |
transcript.pyannote[309].end |
880.61909375 |
transcript.pyannote[310].speaker |
SPEAKER_00 |
transcript.pyannote[310].start |
881.73284375 |
transcript.pyannote[310].end |
882.86346875 |
transcript.pyannote[311].speaker |
SPEAKER_00 |
transcript.pyannote[311].start |
883.53846875 |
transcript.pyannote[311].end |
886.06971875 |
transcript.pyannote[312].speaker |
SPEAKER_00 |
transcript.pyannote[312].start |
886.10346875 |
transcript.pyannote[312].end |
888.60096875 |
transcript.pyannote[313].speaker |
SPEAKER_00 |
transcript.pyannote[313].start |
888.76971875 |
transcript.pyannote[313].end |
889.20846875 |
transcript.pyannote[314].speaker |
SPEAKER_00 |
transcript.pyannote[314].start |
889.52909375 |
transcript.pyannote[314].end |
895.75596875 |
transcript.pyannote[315].speaker |
SPEAKER_01 |
transcript.pyannote[315].start |
895.03034375 |
transcript.pyannote[315].end |
895.21596875 |
transcript.whisperx[0].start |
3.203 |
transcript.whisperx[0].end |
3.683 |
transcript.whisperx[0].text |
好來請保證慢慢喝 |
transcript.whisperx[1].start |
35.224 |
transcript.whisperx[1].end |
60.953 |
transcript.whisperx[1].text |
我們現在繼續把同基層同聲明的農民倒三天我今天要跟你討論的是漁電共生的大漏洞我在三個地方問你這個漁電共生的事情漁電共生這段時間出了很多問題包括下面被埋的那個什麼爐渣啦廢土啦然後慢慢要去做一些改善可是我發現更多的陳情有一個大的問題就是那個覆蓋力的問題 |
transcript.whisperx[2].start |
62.369 |
transcript.whisperx[2].end |
76.68 |
transcript.whisperx[2].text |
我三位都有問你嘛,你做了這個回答嘛,你看一下那個字幕,你說漁電共生的基本上光電的覆蓋率是40%嘛,然後包括漁種你都有講嘛,我現在很明確的,這個40%應該是漁溫的40%對不對?他是設施容許裡面那個土地的那個40% |
transcript.whisperx[3].start |
85.055 |
transcript.whisperx[3].end |
110.809 |
transcript.whisperx[3].text |
這個容許它身體容許面積的這個分母到底是餘溫的40還是這個所有土地的40不是它土地它是容許是針對土地面積它這塊土地面積的容許那那塊土地面積它可能只有一小部分做餘溫喔那不一定所以我們的容許是用土地的面積的40%現在通通的問題就是很多地方餘溫上面蓋了滿滿的這個光電板嘛 |
transcript.whisperx[4].start |
114.131 |
transcript.whisperx[4].end |
141.579 |
transcript.whisperx[4].text |
對不對啊現在就是 現在市民說這樣魚子吃不完嘛 對不對那你3月26號你給我的答詢是來來保定來來你看你 20百個你的答詢是這樣子你說要有陽光照射嘛 對不對所以你說有40%的覆蓋那你60%可以陽光可以進來嘛 對不對可是現在問題出在什麼地方現在全國很多地方出現了一個很大的問題是餘溫百分之百都被蓋滿了 |
transcript.whisperx[5].start |
142.847 |
transcript.whisperx[5].end |
151.82 |
transcript.whisperx[5].text |
那就沒有達到你剛剛講的這個你前面會跟他說的40的40的覆蓋60可以射進來對不對那你如果百分之百把餘溫全部都蓋住了 |
transcript.whisperx[6].start |
152.842 |
transcript.whisperx[6].end |
170.94 |
transcript.whisperx[6].text |
哇 那就是零啦 對不對 我要跟你們報告我們的漁電工程有兩類一類是室內養殖型的它的覆蓋率跟我剛才講的40%是戶外的部分所以這兩個是不大一樣的我們先來談戶外 我們今天就鎖定戶外戶外就是應該 戶外其實剛才你說的就是 移溫 |
transcript.whisperx[7].start |
174.924 |
transcript.whisperx[7].end |
203.82 |
transcript.whisperx[7].text |
宜溫不是百分之百蓋住嘛對不對至少是百分之四十嘛對不對這樣百分之六十有陽光可以射進來嘛其實你根據的這是有科學根據嘛你根據的就是水勢守的這個2018年的這個漁電共生的模擬試驗嘛對不對所以你是有根據的嘛可是現在問題來了來我給你看這個圖來你看這個來那個你看左邊這就是宜溫啦對不對大到八八八 |
transcript.whisperx[8].start |
204.91 |
transcript.whisperx[8].end |
215.673 |
transcript.whisperx[8].text |
這是幾%這是40%嗎部長我甚至調那個空照圖給你看右邊這個就是宜溫電瓶全部都是光電板所以跟部長還有你水刺手當初做的這個實驗是不一樣的喔對不對我再給你看下一張這是一個暗場來下一張這個暗場也一樣 |
transcript.whisperx[9].start |
233.408 |
transcript.whisperx[9].end |
261.416 |
transcript.whisperx[9].text |
這兩個案場都是在疑問上面蓋了百分之百那這個違反了違反你的理解也違反了水事所當初做的這個結論這個就是我自己的鄉親啊他們一直在陳情啊其實保定你也很盡心盡力啦我聽各位問你的時候有一家不是被球場的異議對不對後來我們去努力讓他可以和解嘛現在在和解中這個就是我剛剛講的其中一個案場 |
transcript.whisperx[10].start |
263.763 |
transcript.whisperx[10].end |
284.866 |
transcript.whisperx[10].text |
他被光電裂折就是這樣搞搞到根本就沒辦法沒辦法再種魚電有沒有生出來不曉得可是魚死了嘛魚電共生結果魚還不曉得有沒有這個魚就死掉了這個就是現在鄉村裡面整個台南、嘉義很多地方碰到的這個悲劇好那你有努力了你這個案子有要他們去和解了可是這個問題沒有解開 |
transcript.whisperx[11].start |
285.467 |
transcript.whisperx[11].end |
303.92 |
transcript.whisperx[11].text |
不過我想第一個我必須誠實跟委員說明用這樣的圖我沒辦法判斷因為在有一些土地它是地層下陷於不利耕作區它也許也有從事養殖的行為但是那時候的容許跟你地面的或是室內的是不一樣的規範 |
transcript.whisperx[12].start |
304.861 |
transcript.whisperx[12].end |
328.255 |
transcript.whisperx[12].text |
那以農業部的立場,我們一定是要先確保養殖能夠成功也是事實,然後光電才是加值的部分那如果有不法的部分,我想都應該去查處啦,對柏定,我剛跟你看的就是,左邊這個是死景圖嘛,這個是空照圖嘛我進一步再把這個地幕啊,調出來給你看,來下一張看下一張,你看 |
transcript.whisperx[13].start |
333.11 |
transcript.whisperx[13].end |
352.617 |
transcript.whisperx[13].text |
這是整個暗場這是台灣第一個魚店共生的第一個模範區示範區也是第一個暗場結果有兩個場來陳情碰到一個大的問題右下角這個就是上次我一直問你的你把前面都蓋住了魚都死掉就沒辦法養殖啊所以漁民就抗議啊 |
transcript.whisperx[14].start |
354.056 |
transcript.whisperx[14].end |
372.87 |
transcript.whisperx[14].text |
結果開發商、供電商怎麼說我就求償你一億那我們有努力了嘛現在已經和解了可是和解還是要現在進行試喔左上角那個更可憐我現在跟你講左上角你看上面畫的供電板這就百分之百都覆蓋了啦你從地幕我剛剛講空照圖這個從地幕都很清楚左上角發生了什麼事情移民工 |
transcript.whisperx[15].start |
375.424 |
transcript.whisperx[15].end |
391.99 |
transcript.whisperx[15].text |
你台元立國營事業啊你還開口啊我就同意你來做光電啊結果轉了好幾手弄到後來台泥變成台泥光電去了他左上角蓋出什麼也是百分之百結果那個農夫一直抗爭到後來就腦中風了兒子把工作丟下回去照顧爸爸到現在還在抗爭這兩個都是很大悲劇一個被酋長以疫 |
transcript.whisperx[16].start |
404.588 |
transcript.whisperx[16].end |
423.804 |
transcript.whisperx[16].text |
一個家裡面生活陷入困頓不只沒辦法繼續在養魚爸爸腦中風 現在躺在家裡兒子現在在抗爭喔就在懲刑 那原因就是初老剛剛跟你討論的因為你們在法令的這個解釋上面讓光電業者去餘溫上面蓋了百分之百的 |
transcript.whisperx[17].start |
424.755 |
transcript.whisperx[17].end |
442.2 |
transcript.whisperx[17].text |
光電板那這個要不要處理不過我還是跟委員說明您這樣我沒辦法判斷因為光電的覆蓋率會因為你是農變的農地變更是一件事情然後你做室內的或是做戶外的那我在這邊有個數據可以跟委員報告就是我們也要求了 |
transcript.whisperx[18].start |
443.421 |
transcript.whisperx[18].end |
465.118 |
transcript.whisperx[18].text |
各縣市有做光電廠去做盤查去做清查有沒有不合法的地方有沒有不養魚的現在已經清查了122場那其中完全合格的大概是將近37場到40場之間所以表示還有很大部分是不符合相關的規範正在改善中啦所以 |
transcript.whisperx[19].start |
466.059 |
transcript.whisperx[19].end |
492.558 |
transcript.whisperx[19].text |
我也必須認同就是說的確有一些不合法的這項的光電板但是我們會要求地方政府去做一個有效的查核甚至於我們也希望說如果他沒有真正從事農業的漁業經營的話他就應該斷電啦就是讓他的電不再輸送啦如果讓他電繼續輸送他不斷的在改善那你就沒完沒了啦就是我想我們農業部的立場是這樣子 |
transcript.whisperx[20].start |
492.978 |
transcript.whisperx[20].end |
518.945 |
transcript.whisperx[20].text |
我聽你很棒 你也承認說有部分是有問題嘛那你要去把它清查清楚至少這兩個地方要去清查清楚對 這個我想我們後續如果有資訊我們可以了解如果你去看了 確定是老蔣我已經給你很明確了空照圖也給你 地幕圖也給你 實景都給你的好 那你要更明確請最近就趕快去看這兩個地方好不好是那如果是確定你確認是我剛剛講的百分之百上面移運都蓋了這個百分之百的光電板那這個就不行囉 |
transcript.whisperx[21].start |
520.225 |
transcript.whisperx[21].end |
530.792 |
transcript.whisperx[21].text |
如果它是地面型的,它絕對不行啊對啦,室外又是地面型的嘛,就是魚死地面嘛來,再看另外一個,剛才這兩個是家機,這張是台南的,來,看一看一樣,地面大到密密麻麻,全部都是光電板,也是百分之百你是農業專家,你覺得這個光電發電之後,會比較容易起火嗎? |
transcript.whisperx[22].start |
545.123 |
transcript.whisperx[22].end |
553.651 |
transcript.whisperx[22].text |
這個有餘電共生嗎?還是變生了餘死掉了?這個你的專業判斷,這也太奇妙了我如果全都看這張圖的話,我覺得下面是沒有什麼養啊 |
transcript.whisperx[23].start |
558.266 |
transcript.whisperx[23].end |
584.43 |
transcript.whisperx[23].text |
阿他怎麼可以發電可以通過你們這個許可還繼續在發電不是 我要跟委員報告齁我們農業部是針對他的經營計畫書裡面我們做容許那後續都是地方政府在處理的那我們當然會有一些指引跟規範去要求所以像類似有這樣的一個案場的時候我們都會要求地方政府要去嚴查這個才能夠確保 我在這看這用常識不要說你專業常識看就知道 地面都扶貧阿 |
transcript.whisperx[24].start |
589.261 |
transcript.whisperx[24].end |
616.673 |
transcript.whisperx[24].text |
都是扶貧啊這個裡面如果有魚的話,你就把那個扶貧吃掉嘛跟蜜蜜媽媽都是扶貧,表示你會比較沒魚嘛啊第一個是含養量一定很高嘛對不對?是這個根本沒辦法養魚啊所以它不叫魚墊公生它叫墊生的魚死掉了是不是?那這個,好部長所以我們今天有結論喔我至少講的,這個地步我會給你至少這三個地方你要去看過好不好?好那我做明確的,明確的這個三個具體的要求來,我們看起來應該有共識啦,第一類來,保定來 |
transcript.whisperx[25].start |
617.912 |
transcript.whisperx[25].end |
643.197 |
transcript.whisperx[25].text |
你要明確去界定 餘電共生的這個覆蓋率現在光電一直跟你講 那個40%是全部的土地不是餘溫其實我們今天講的很清楚的 餘溫覆蓋不能超過40要有60讓陽光可以射進來 要不然就死掉了 不叫餘電共生覆蓋率 以餘溫為依據的話 不能夠超過40%要明定下來 不是以整體的暗場做計算這跌跌 對不對 反正這跌跌 做得到嗎 |
transcript.whisperx[26].start |
644.66 |
transcript.whisperx[26].end |
661.27 |
transcript.whisperx[26].text |
我們本來就這樣規定剛剛講的那個看的那個都是違規嘛不只要去看要去處理然後這個法令一定是要這個規定一定要去確定好第二個你統計一下一直到現場去喔統計一下現在有多少餘溫本身覆蓋率超過40%的一個月夠不夠 |
transcript.whisperx[27].start |
663.649 |
transcript.whisperx[27].end |
674.665 |
transcript.whisperx[27].text |
一個月給我一份報告,就是你持續去查嘛,我那三個地方都給你我先跟委員報告,就是我們要做這件事情我們一定發文給地方政府,地方政府去查明以後回報啊 |
transcript.whisperx[28].start |
675.685 |
transcript.whisperx[28].end |
703.726 |
transcript.whisperx[28].text |
那這個部分我們會盡量在一個月能夠給委員一個答覆但是有時候會牽扯到地方政務的查核的時間所以我現在不敢保證說一定一個月他們一定給我因為有時候地方政務不給的時候我們也沒辦法你今天就會發函就對了啦 盡快我想今天 我們這個禮拜好不好這個禮拜我們發函給地方政務就要去查明這件事情很重要因為漁電共生是你的重要政策嘛 |
transcript.whisperx[29].start |
704.306 |
transcript.whisperx[29].end |
715.765 |
transcript.whisperx[29].text |
阿現在一定又加速在推動 現在核電5月17號又停了一定又推得更急阿更急你已經發現有一些是違反你的規定了阿違反規定已經出現那麼多悲劇了我剛才說過 那真的是 |
transcript.whisperx[30].start |
717.113 |
transcript.whisperx[30].end |
736.087 |
transcript.whisperx[30].text |
一個農夫,好好的本來過日子,結果聽信你國營事業、台研綠能,弄到後來腦中風,兒子還遲了公交回來照顧爸爸,現在繼續抗爭,趕快看,趕快幫他們解決問題,好不好?第三個,第三個就是我要講,要怎麼去幫忙呢?對於現行你去查過後,你有發現是超過40%的, |
transcript.whisperx[31].start |
738.375 |
transcript.whisperx[31].end |
747.786 |
transcript.whisperx[31].text |
這個不合規定了嘛其實養不活就不是餘電共生了嘛可是你在外面提一個改善的計畫的時候你要原理這些移民現在是受害者 對不對 |
transcript.whisperx[32].start |
749.566 |
transcript.whisperx[32].end |
769.599 |
transcript.whisperx[32].text |
不見得喔 不見得是受害者各式各樣 可是像我剛才說的那兩個都是嘛因為我現在沒辦法判斷喔因為漁電共生 一定是光電業者要不然就租地 然後由漁民負責養有的是什麼 純粹是由光電業者養所以它樣態非常複雜所以我現在沒辦法判斷說一定是漁民受害 |
transcript.whisperx[33].start |
770.799 |
transcript.whisperx[33].end |
789.68 |
transcript.whisperx[33].text |
部長我們把樣態集中一下我今天給你質詢的東西都是清清楚楚的第一個第一個就是在餘溫上面你本來說40%它蓋了百分之百到時候我都給你拿你去看嘛對不對第二個我今天質詢的是非常明確的當初餘溫不能夠超過百分之40是有科學根據的是你水勢所的 |
transcript.whisperx[34].start |
791.034 |
transcript.whisperx[34].end |
810.17 |
transcript.whisperx[34].text |
這個在法規上已經很明確了而且你都漏食了嘛 對不對包括 如果養那四種魚你這邊都是有的嘛所以你要漏食這個嘛 好 OK你說有很多樣式嘛那如果是我剛剛講的把它凝聚是確實是違法的那OK 那我們就明確你去看過之後一個要清查嘛 對不對然後確定去看是有違法的你是不是要考慮一下怎麼去幫國賠或者 |
transcript.whisperx[35].start |
812.152 |
transcript.whisperx[35].end |
819.884 |
transcript.whisperx[35].text |
這個我沒辦法同意因為我現在完全不知道因為餘定工生他的彼此之間光定業者跟漁民之間的關係非常複雜 |
transcript.whisperx[36].start |
821.314 |
transcript.whisperx[36].end |
848.952 |
transcript.whisperx[36].text |
那有不同的樣態不見得是漁民是受害者這個有時候也是光電是受害者我們所瞭解的當然你要去關心嘛一電共生這幾天的農業部重要政策國家重要政策我聽得到他們之間的合約的關係這個合約的關係就回到合約去處理我們不能動不動就國賠所以我們事實上是有共識的去查然後確定如果是農民我們查了以後再看看說那個樣態怎麼樣再走下一步啦所以農民如果是受害我們就要幫他啦 |
transcript.whisperx[37].start |
850.853 |
transcript.whisperx[37].end |
867.861 |
transcript.whisperx[37].text |
農民如果是受害我們會來協助他看他怎麼去做後續的處理如果是受害者很明確的受害者我們會來協助來看怎麼樣去跟光電業者去做相關的處理我用簡短大概時間超過我用30秒跟你講對於那個40%那個事情我去查了資料 |
transcript.whisperx[38].start |
874.224 |
transcript.whisperx[38].end |
894.707 |
transcript.whisperx[38].text |
你108年的3月6號本來講是宜溫的40%後來你再過了一個月啊過了一個月4月16號過了16號你又做了一個放寬你就要修回來好不好就確定是宜溫40%好不好好啦那個主席已經在講了OK那我們就說出來我們要照顧好移民然後把一個月內把他清出來好謝謝保定謝謝 |