IVOD_ID |
160665 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160665 |
日期 |
2025-04-24 |
會議資料.會議代碼 |
委員會-11-3-26-7 |
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7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 |
7 |
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7次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-04-24T12:31:45+08:00 |
結束時間 |
2025-04-24T12:40:58+08:00 |
影片長度 |
00:09:13 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5e1f7c3e1748c6e5e6da6a1b84d531cb9742596ee20a55b8840241ee498f319a8c2082ecc2dcd8fa5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
鍾佳濱 |
委員發言時間 |
12:31:45 - 12:40:58 |
會議時間 |
2025-04-24T09:00:00+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7次全體委員會議(事由:邀請衛生福利部部長、農業部次長、經濟部次長、外交部次長、行政院經貿談判辦公室副總談判代表、行政院食品安全辦公室主任針對「美豬、美牛進口零關稅且如何保障國人食品安全及農民權益」進行專題報告,並備質詢。
【4月23日及24日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
9.81846875 |
transcript.pyannote[0].end |
21.04034375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
21.31034375 |
transcript.pyannote[1].end |
24.46596875 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
27.03096875 |
transcript.pyannote[2].end |
27.84096875 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
29.17409375 |
transcript.pyannote[3].end |
36.70034375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
37.35846875 |
transcript.pyannote[4].end |
44.20971875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
44.80034375 |
transcript.pyannote[5].end |
46.80846875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
46.87596875 |
transcript.pyannote[6].end |
58.08096875 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
57.10221875 |
transcript.pyannote[7].end |
60.29159375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
61.00034375 |
transcript.pyannote[8].end |
62.75534375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
62.99159375 |
transcript.pyannote[9].end |
72.05346875 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
63.05909375 |
transcript.pyannote[10].end |
63.71721875 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
71.22659375 |
transcript.pyannote[11].end |
72.15471875 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
72.32346875 |
transcript.pyannote[12].end |
74.82096875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
72.50909375 |
transcript.pyannote[13].end |
73.45409375 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
75.56346875 |
transcript.pyannote[14].end |
75.95159375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
77.01471875 |
transcript.pyannote[15].end |
79.29284375 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
79.51221875 |
transcript.pyannote[16].end |
80.08596875 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
80.59221875 |
transcript.pyannote[17].end |
86.51534375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
87.08909375 |
transcript.pyannote[18].end |
89.72159375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
89.08034375 |
transcript.pyannote[19].end |
90.21096875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
90.68346875 |
transcript.pyannote[20].end |
91.18971875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
91.49346875 |
transcript.pyannote[21].end |
94.22721875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
94.05846875 |
transcript.pyannote[22].end |
94.09221875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
94.22721875 |
transcript.pyannote[23].end |
94.26096875 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
94.59846875 |
transcript.pyannote[24].end |
95.30721875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
95.47596875 |
transcript.pyannote[25].end |
97.60221875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
97.88909375 |
transcript.pyannote[26].end |
99.55971875 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
100.38659375 |
transcript.pyannote[27].end |
100.63971875 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
100.97721875 |
transcript.pyannote[28].end |
104.89221875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
103.35659375 |
transcript.pyannote[29].end |
103.54221875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
104.95971875 |
transcript.pyannote[30].end |
105.26346875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
105.53346875 |
transcript.pyannote[31].end |
110.96721875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
111.10221875 |
transcript.pyannote[32].end |
114.17346875 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
111.33846875 |
transcript.pyannote[33].end |
111.91221875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
114.17346875 |
transcript.pyannote[34].end |
121.51409375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
122.77971875 |
transcript.pyannote[35].end |
123.77534375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
124.04534375 |
transcript.pyannote[36].end |
126.61034375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
127.15034375 |
transcript.pyannote[37].end |
130.30596875 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
132.02721875 |
transcript.pyannote[38].end |
132.73596875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
132.82034375 |
transcript.pyannote[39].end |
133.34346875 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
133.83284375 |
transcript.pyannote[40].end |
135.23346875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
135.84096875 |
transcript.pyannote[41].end |
138.89534375 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
138.91221875 |
transcript.pyannote[42].end |
141.67971875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
141.88221875 |
transcript.pyannote[43].end |
146.26971875 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
146.72534375 |
transcript.pyannote[44].end |
150.64034375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
150.85971875 |
transcript.pyannote[45].end |
151.07909375 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
151.55159375 |
transcript.pyannote[46].end |
155.02784375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
155.21346875 |
transcript.pyannote[47].end |
155.60159375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
155.65221875 |
transcript.pyannote[48].end |
156.93471875 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
156.34409375 |
transcript.pyannote[49].end |
156.37784375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
157.22159375 |
transcript.pyannote[50].end |
158.16659375 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
158.58846875 |
transcript.pyannote[51].end |
160.86659375 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
160.98471875 |
transcript.pyannote[52].end |
162.53721875 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
163.33034375 |
transcript.pyannote[53].end |
164.05596875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
164.20784375 |
transcript.pyannote[54].end |
166.82346875 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
167.04284375 |
transcript.pyannote[55].end |
169.30409375 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
169.84409375 |
transcript.pyannote[56].end |
171.48096875 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
172.07159375 |
transcript.pyannote[57].end |
176.59409375 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
176.91471875 |
transcript.pyannote[58].end |
184.64346875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
185.21721875 |
transcript.pyannote[59].end |
193.45221875 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
193.94159375 |
transcript.pyannote[60].end |
194.54909375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
194.54909375 |
transcript.pyannote[61].end |
194.92034375 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
195.13971875 |
transcript.pyannote[62].end |
197.40096875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
197.51909375 |
transcript.pyannote[63].end |
198.34596875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
198.59909375 |
transcript.pyannote[64].end |
201.24846875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
201.63659375 |
transcript.pyannote[65].end |
206.83409375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
205.12971875 |
transcript.pyannote[66].end |
205.26471875 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
207.49221875 |
transcript.pyannote[67].end |
208.72409375 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
209.78721875 |
transcript.pyannote[68].end |
211.87971875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
212.53784375 |
transcript.pyannote[69].end |
215.79471875 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
216.09846875 |
transcript.pyannote[70].end |
217.90409375 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
218.88284375 |
transcript.pyannote[71].end |
221.24534375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
223.55721875 |
transcript.pyannote[72].end |
224.65409375 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
223.60784375 |
transcript.pyannote[73].end |
224.08034375 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
224.18159375 |
transcript.pyannote[74].end |
225.37971875 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
225.73409375 |
transcript.pyannote[75].end |
228.92346875 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
229.41284375 |
transcript.pyannote[76].end |
231.43784375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
231.37034375 |
transcript.pyannote[77].end |
232.63596875 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
232.99034375 |
transcript.pyannote[78].end |
234.61034375 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
233.95221875 |
transcript.pyannote[79].end |
235.67346875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
236.26409375 |
transcript.pyannote[80].end |
237.02346875 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
237.36096875 |
transcript.pyannote[81].end |
239.74034375 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
240.16221875 |
transcript.pyannote[82].end |
244.33034375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
245.27534375 |
transcript.pyannote[83].end |
248.29596875 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
248.78534375 |
transcript.pyannote[84].end |
249.52784375 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
250.13534375 |
transcript.pyannote[85].end |
250.60784375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
250.60784375 |
transcript.pyannote[86].end |
252.51471875 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
253.40909375 |
transcript.pyannote[87].end |
256.98659375 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
257.30721875 |
transcript.pyannote[88].end |
258.96096875 |
transcript.pyannote[89].speaker |
SPEAKER_02 |
transcript.pyannote[89].start |
259.04534375 |
transcript.pyannote[89].end |
259.45034375 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
259.93971875 |
transcript.pyannote[90].end |
260.85096875 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
261.54284375 |
transcript.pyannote[91].end |
262.42034375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
262.85909375 |
transcript.pyannote[92].end |
264.85034375 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
265.12034375 |
transcript.pyannote[93].end |
266.58846875 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
267.11159375 |
transcript.pyannote[94].end |
268.56284375 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
269.44034375 |
transcript.pyannote[95].end |
271.61721875 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
271.80284375 |
transcript.pyannote[96].end |
272.52846875 |
transcript.pyannote[97].speaker |
SPEAKER_02 |
transcript.pyannote[97].start |
272.95034375 |
transcript.pyannote[97].end |
274.38471875 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
274.50284375 |
transcript.pyannote[98].end |
275.39721875 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
275.31284375 |
transcript.pyannote[99].end |
275.32971875 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
275.34659375 |
transcript.pyannote[100].end |
275.51534375 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
275.63346875 |
transcript.pyannote[101].end |
280.66221875 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
280.99971875 |
transcript.pyannote[102].end |
282.19784375 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
283.04159375 |
transcript.pyannote[103].end |
285.50534375 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
286.02846875 |
transcript.pyannote[104].end |
287.64846875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
288.37409375 |
transcript.pyannote[105].end |
291.14159375 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
291.52971875 |
transcript.pyannote[106].end |
296.54159375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
297.01409375 |
transcript.pyannote[107].end |
297.70596875 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
297.90846875 |
transcript.pyannote[108].end |
298.53284375 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
299.10659375 |
transcript.pyannote[109].end |
312.57284375 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
312.60659375 |
transcript.pyannote[110].end |
314.07471875 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
314.61471875 |
transcript.pyannote[111].end |
316.80846875 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
317.46659375 |
transcript.pyannote[112].end |
318.71534375 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
318.73221875 |
transcript.pyannote[113].end |
320.23409375 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
320.08221875 |
transcript.pyannote[114].end |
320.36909375 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
320.28471875 |
transcript.pyannote[115].end |
326.84909375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
326.84909375 |
transcript.pyannote[116].end |
327.03471875 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
327.03471875 |
transcript.pyannote[117].end |
329.39721875 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
330.03846875 |
transcript.pyannote[118].end |
333.59909375 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
334.34159375 |
transcript.pyannote[119].end |
335.74221875 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
335.21909375 |
transcript.pyannote[120].end |
337.34534375 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
337.85159375 |
transcript.pyannote[121].end |
341.00721875 |
transcript.pyannote[122].speaker |
SPEAKER_02 |
transcript.pyannote[122].start |
341.74971875 |
transcript.pyannote[122].end |
342.35721875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
342.67784375 |
transcript.pyannote[123].end |
343.96034375 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
344.44971875 |
transcript.pyannote[124].end |
349.15784375 |
transcript.pyannote[125].speaker |
SPEAKER_02 |
transcript.pyannote[125].start |
349.54596875 |
transcript.pyannote[125].end |
350.49096875 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
350.49096875 |
transcript.pyannote[126].end |
351.85784375 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
351.67221875 |
transcript.pyannote[127].end |
351.84096875 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
351.85784375 |
transcript.pyannote[128].end |
352.02659375 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
352.44846875 |
transcript.pyannote[129].end |
358.94534375 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
359.01284375 |
transcript.pyannote[130].end |
361.27409375 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
362.26971875 |
transcript.pyannote[131].end |
367.68659375 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
365.29034375 |
transcript.pyannote[132].end |
365.76284375 |
transcript.pyannote[133].speaker |
SPEAKER_02 |
transcript.pyannote[133].start |
366.10034375 |
transcript.pyannote[133].end |
368.76659375 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
368.54721875 |
transcript.pyannote[134].end |
370.69034375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
371.29784375 |
transcript.pyannote[135].end |
372.73221875 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
375.33096875 |
transcript.pyannote[136].end |
375.78659375 |
transcript.pyannote[137].speaker |
SPEAKER_02 |
transcript.pyannote[137].start |
377.30534375 |
transcript.pyannote[137].end |
382.97534375 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
381.43971875 |
transcript.pyannote[138].end |
383.09346875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
383.27909375 |
transcript.pyannote[139].end |
385.06784375 |
transcript.pyannote[140].speaker |
SPEAKER_02 |
transcript.pyannote[140].start |
384.88221875 |
transcript.pyannote[140].end |
385.35471875 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
385.47284375 |
transcript.pyannote[141].end |
388.39221875 |
transcript.pyannote[142].speaker |
SPEAKER_02 |
transcript.pyannote[142].start |
386.65409375 |
transcript.pyannote[142].end |
388.59471875 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
388.47659375 |
transcript.pyannote[143].end |
390.23159375 |
transcript.pyannote[144].speaker |
SPEAKER_02 |
transcript.pyannote[144].start |
390.40034375 |
transcript.pyannote[144].end |
390.87284375 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
390.48471875 |
transcript.pyannote[145].end |
391.88534375 |
transcript.pyannote[146].speaker |
SPEAKER_02 |
transcript.pyannote[146].start |
391.88534375 |
transcript.pyannote[146].end |
393.85971875 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
392.89784375 |
transcript.pyannote[147].end |
393.40409375 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
393.67409375 |
transcript.pyannote[148].end |
394.92284375 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
395.41221875 |
transcript.pyannote[149].end |
397.31909375 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
397.48784375 |
transcript.pyannote[150].end |
398.55096875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
401.13284375 |
transcript.pyannote[151].end |
402.97221875 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
403.42784375 |
transcript.pyannote[152].end |
405.01409375 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
405.53721875 |
transcript.pyannote[153].end |
414.61596875 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
414.97034375 |
transcript.pyannote[154].end |
416.92784375 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
417.38346875 |
transcript.pyannote[155].end |
426.09096875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
426.71534375 |
transcript.pyannote[156].end |
429.31409375 |
transcript.pyannote[157].speaker |
SPEAKER_02 |
transcript.pyannote[157].start |
429.65159375 |
transcript.pyannote[157].end |
430.41096875 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
429.93846875 |
transcript.pyannote[158].end |
431.89596875 |
transcript.pyannote[159].speaker |
SPEAKER_02 |
transcript.pyannote[159].start |
431.27159375 |
transcript.pyannote[159].end |
432.36846875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
432.31784375 |
transcript.pyannote[160].end |
435.06846875 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
435.32159375 |
transcript.pyannote[161].end |
437.17784375 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
437.66721875 |
transcript.pyannote[162].end |
441.02534375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
441.26159375 |
transcript.pyannote[163].end |
447.38721875 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
446.49284375 |
transcript.pyannote[164].end |
447.25221875 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
447.84284375 |
transcript.pyannote[165].end |
449.58096875 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
450.10409375 |
transcript.pyannote[166].end |
451.62284375 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
451.92659375 |
transcript.pyannote[167].end |
459.79034375 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
460.78596875 |
transcript.pyannote[168].end |
463.31721875 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
463.06409375 |
transcript.pyannote[169].end |
466.32096875 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
466.42221875 |
transcript.pyannote[170].end |
468.39659375 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
466.54034375 |
transcript.pyannote[171].end |
468.09284375 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
468.17721875 |
transcript.pyannote[172].end |
469.47659375 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
468.41346875 |
transcript.pyannote[173].end |
468.44721875 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
469.30784375 |
transcript.pyannote[174].end |
472.27784375 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
472.27784375 |
transcript.pyannote[175].end |
473.25659375 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
473.15534375 |
transcript.pyannote[176].end |
480.93471875 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
481.33971875 |
transcript.pyannote[177].end |
488.89971875 |
transcript.pyannote[178].speaker |
SPEAKER_02 |
transcript.pyannote[178].start |
489.65909375 |
transcript.pyannote[178].end |
491.00909375 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
491.00909375 |
transcript.pyannote[179].end |
495.10971875 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
495.58221875 |
transcript.pyannote[180].end |
499.42971875 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
499.76721875 |
transcript.pyannote[181].end |
508.30596875 |
transcript.pyannote[182].speaker |
SPEAKER_02 |
transcript.pyannote[182].start |
509.35221875 |
transcript.pyannote[182].end |
514.04346875 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
513.99284375 |
transcript.pyannote[183].end |
519.67971875 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
519.83159375 |
transcript.pyannote[184].end |
521.87346875 |
transcript.pyannote[185].speaker |
SPEAKER_02 |
transcript.pyannote[185].start |
521.87346875 |
transcript.pyannote[185].end |
522.80159375 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
522.70034375 |
transcript.pyannote[186].end |
530.29409375 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
530.98596875 |
transcript.pyannote[187].end |
536.92596875 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
537.51659375 |
transcript.pyannote[188].end |
537.82034375 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
537.82034375 |
transcript.pyannote[189].end |
538.12409375 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
538.12409375 |
transcript.pyannote[190].end |
538.30971875 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
538.30971875 |
transcript.pyannote[191].end |
541.19534375 |
transcript.pyannote[192].speaker |
SPEAKER_02 |
transcript.pyannote[192].start |
541.19534375 |
transcript.pyannote[192].end |
542.03909375 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
541.61721875 |
transcript.pyannote[193].end |
543.33846875 |
transcript.pyannote[194].speaker |
SPEAKER_02 |
transcript.pyannote[194].start |
543.13596875 |
transcript.pyannote[194].end |
544.26659375 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
543.79409375 |
transcript.pyannote[195].end |
549.44721875 |
transcript.pyannote[196].speaker |
SPEAKER_00 |
transcript.pyannote[196].start |
547.96221875 |
transcript.pyannote[196].end |
548.08034375 |
transcript.pyannote[197].speaker |
SPEAKER_02 |
transcript.pyannote[197].start |
548.08034375 |
transcript.pyannote[197].end |
548.77221875 |
transcript.pyannote[198].speaker |
SPEAKER_00 |
transcript.pyannote[198].start |
548.77221875 |
transcript.pyannote[198].end |
548.87346875 |
transcript.pyannote[199].speaker |
SPEAKER_00 |
transcript.pyannote[199].start |
549.95346875 |
transcript.pyannote[199].end |
550.39221875 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
552.55221875 |
transcript.pyannote[200].end |
553.04159375 |
transcript.whisperx[0].start |
9.964 |
transcript.whisperx[0].end |
24.108 |
transcript.whisperx[0].text |
主席 在場的委員先進 政府機關首長代表會長 共同夥伴媒體記者女士先生有請我們農業部的杜次長 經濟部的江次長以及經貿談判辦公室的嚴副總談判代表是 委員好次長好 次長好 先請教江次長像你看這次美國的關稅衝擊 |
transcript.whisperx[1].start |
37.603 |
transcript.whisperx[1].end |
60.104 |
transcript.whisperx[1].text |
對台灣來講我們現在是比較擔心出口賣不到美國還是擔心美國進口很多到台灣來哪一個你會比較我們衝擊比較大我覺得站在經濟部的立場我們當然是非第一點的話當然是希望我們的廠商都可以將他最好的優質產品出口到全世界各地重要的市場那現在是對是不是進口的衝擊影響可能比較大 |
transcript.whisperx[2].start |
61.069 |
transcript.whisperx[2].end |
77.062 |
transcript.whisperx[2].text |
目前為止因為川普是苛徵10%的關稅是對我們的出口的部分但是對於進口的部分現在還是持續觀察中我們請那個嚴副總裁那麼在這樣的一個進出口的變化當中請問對台灣跟美國的農業來講是我們賣給美國的農產品多還是美國賣給我們的農產品多 |
transcript.whisperx[3].start |
87.545 |
transcript.whisperx[3].end |
103.9 |
transcript.whisperx[3].text |
當然是美國賣給我們比較多我們是美國我們進口的美國是第一名對不對但是我們出口跟美國的美國占我們出口市場第一名美國只是我們進口我們是他的第八大他是我們的第一名 |
transcript.whisperx[4].start |
105.992 |
transcript.whisperx[4].end |
129.518 |
transcript.whisperx[4].text |
我們是美國出口對象的第八名但是他是我們出口對象的第一名對但是貿易值上面他是順差的對他是順差的換言之如果我跟劉建國他是我唯一的好朋友我是他排名第八的好朋友你覺得誰比較擔心誰我比較擔心嘛美國是我最大的出口市場我只是美國的第八出口市場農業譬如好來現在換農業部了 |
transcript.whisperx[5].start |
132.139 |
transcript.whisperx[5].end |
149.697 |
transcript.whisperx[5].text |
市委員來 處長 那天喔 來我們看下一頁那天在四月十三日高雄龍街中你沒在嘛 你知道我們的保證不會移動嗎是那天是跟模特兒合作在說嘛這段主席聽過你可以休息我們台灣的模特兒 一半是大紀元 一半是華僧 是不是這樣 |
transcript.whisperx[6].start |
151.859 |
transcript.whisperx[6].end |
174.181 |
transcript.whisperx[6].text |
外鄉的摩托 日本占四成 美國占三成 是不是這樣 沒錯啦好 但是呢 美國的市場裡面 吃摩托吃同桌是不是吃中國的對好 現在中國跟美國的環境 中國的摩托沒辦法賣美國啊現在美國是不是很大量 所以我們要補充說什麼台灣的摩托要趕快去抽美國的市場對不對 |
transcript.whisperx[7].start |
176.937 |
transcript.whisperx[7].end |
186.309 |
transcript.whisperx[7].text |
再去美國的市場但是中國的模特兒模特兒不會去美國 它不會來哪裡不會來日本嘛日本跟中國是連關稅但是我們台灣小日本是六趴的關稅所以我們現在是不是在日本的模特兒市場受到中國的威脅 |
transcript.whisperx[8].start |
193.999 |
transcript.whisperx[8].end |
206.63 |
transcript.whisperx[8].text |
是不是這樣?是所以說一個無約的關稅差別會造成說原來美國的市場我們台灣要趕快去吃但是我們在日本的市場要歡樂中國來吃是不是這樣?是好來我給你們看好來所以另外一方美國是不是出口很多紅豆?是美國出口的紅豆是不是最近一半是在中國?中國現在中國會跟美國買紅豆嗎?所以你看這樣美國的紅豆會下降嗎? |
transcript.whisperx[9].start |
223.581 |
transcript.whisperx[9].end |
235.227 |
transcript.whisperx[9].text |
有可能的下去美國的黃小玉下去對台灣的容顏什麼衝擊 什麼影響我們台北分的黃小玉都對美國來啊所以我們有好康就對了嘛大家同意就有好康就好現在我們來看世界在吃豬肉 進豬肉 出豬肉出口豬肉的國家是不是這幾個國家後面 美國只有大部分這豬肉要統治的是中國 日本 白色國家 英國有台灣沒有沒有嘛 台灣很小喔 想想看 來 |
transcript.whisperx[10].start |
253.427 |
transcript.whisperx[10].end |
276.732 |
transcript.whisperx[10].text |
台灣齁 現在齁 台灣吃的豬肉一成是進口的六成是我們本土的九成九成啦齁 本土的豬肉99%是供應過來的不夠1%是消外國消兩千噸嘛 消哪裡新加坡 菲律賓有消日本嗎呃 加工的有加工的有齁過去30年間 台灣的豬肉出口是現在的超過100倍是27萬公噸 噸啦 27萬噸 |
transcript.whisperx[11].start |
283.306 |
transcript.whisperx[11].end |
298.235 |
transcript.whisperx[11].text |
現在只剩下兩千塊我給你們來看來所以你要看30年前日本進口的地霸有4成來自台灣台灣出口的地霸有9成是小日本日本對台灣的地霸市場有重要嗎多少有重要但是現在呢 |
transcript.whisperx[12].start |
299.176 |
transcript.whisperx[12].end |
313.363 |
transcript.whisperx[12].text |
現在日本的他的進口的地盤美國、加拿大跟其他都請不上司機問詢對不對有台灣嗎沒有所以說台灣的地盤我們現在要出口是不是修正科留的應該是日本的集團市場是好來往那邊看請問台灣的地盤出口有什麼優勢 |
transcript.whisperx[13].start |
317.54 |
transcript.whisperx[13].end |
339.453 |
transcript.whisperx[13].text |
我們的地板好吃啊好吃不會燒焦嘛有煙過嘛我們它通風不燒焦但是治療尋問管人工管對不對是所以好來往下面看來下面所以我們的治療我們的起地的尋問裡面都是人工管黃曉玉啊對 治療檢查過六成是但是我們的治療比例裡面黃曉玉在哪裡 |
transcript.whisperx[14].start |
342.887 |
transcript.whisperx[14].end |
353.058 |
transcript.whisperx[14].text |
約米超過五成,大豆、紅豆、薄荷超過兩倍,還有三成的油脂三成的動物油對不對?所以說如果美國的黃小玉落價,我們台灣的飼料落價,台灣的飼料的競爭,地霸的競爭,那是不是很危險? |
transcript.whisperx[15].start |
362.481 |
transcript.whisperx[15].end |
372.543 |
transcript.whisperx[15].text |
治療才不同關嘛 是所以治療落隔我們台灣的第二競爭的開關嘛 全部落隔我們就有我們的競爭力有競爭力嘛 啊你這樣好 要存這行治療用油對待錢感恩仔應該是我們國內自己有很多的那個化製油脂的部分 治療的油啊很多都是卡料啦台滴的卡料 下腳料 還有地霸來啦但是地霸來台灣人有在吃啦 |
transcript.whisperx[16].start |
390.619 |
transcript.whisperx[16].end |
397.998 |
transcript.whisperx[16].text |
美國人有在吃豬肩嗎?比較沒有啦 他們不會吃所以說你來想啦卡了 以為卡了是不是美國很多 |
transcript.whisperx[17].start |
401.338 |
transcript.whisperx[17].end |
422.792 |
transcript.whisperx[17].text |
這就是要跟你考慮的就是這樣我問過一些治療手因為說現在這個黃曉玉下去治療的成分更多對他們來說是好事但是他們欠什麼他欠瘦的當然是油啦就是卡尿啦所以你能支持我們的協博書去了解一下嗎現在美國在黃曉玉下去之後他們的卡尿他們出口很多滴肉嘛他們賣其他國家的滴肉到那裡賣卡尿有在賣滴肉來嗎 |
transcript.whisperx[18].start |
432.392 |
transcript.whisperx[18].end |
459.166 |
transcript.whisperx[18].text |
所以這個時候我相信他們的卡尿也受所以我們現在的治療我們的油我們的動物油進口有進口黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆油黃豆 |
transcript.whisperx[19].start |
461.291 |
transcript.whisperx[19].end |
463.593 |
transcript.whisperx[19].text |
不要用過的東西不要用過其實是你不知道啦我們治療前有在用啦靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜 |
transcript.whisperx[20].start |
489.653 |
transcript.whisperx[20].end |
494.355 |
transcript.whisperx[20].text |
要總體來看總體來看來 苦寶針我們做的來說台語你也會通來兩個來 最好結論啦 結論啦什麼農業部農業部 處長你是不是可以講解起了原來的處長介紹以及提醒台灣地霸去日本的市場這麼有倫 你來提一個報告 |
transcript.whisperx[21].start |
509.377 |
transcript.whisperx[21].end |
516.759 |
transcript.whisperx[21].text |
去日本的保溫現在是比較沒辦法因為我們地溫要先清掉才有辦法是生鮮果所以要加油啊30年前日本是我們統統的外銷市場啊結果現在一年才2000噸過去是一年26萬噸欸我們要提出書面報告你來提出齁好來來隆也報告衛福部齁是不是可以針對我們國內油的加工藥要加強K渣偏要使用的跟治療的藍作為來顧國民的健康保障你能做到嗎這K渣你怎麼做啊 |
transcript.whisperx[22].start |
537.543 |
transcript.whisperx[22].end |
547.678 |
transcript.whisperx[22].text |
對啊 這做得到啊那如果沒有 你也要去封祭啊因為做治療是你們在管嘛做人質是部長在管嘛所以你們做的合作 把這個做得好好不好好好 謝謝好 謝謝 |