IVOD_ID |
161542 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/161542 |
日期 |
2025-05-19 |
會議資料.會議代碼 |
委員會-11-3-35-15 |
會議資料.會議代碼:str |
第11屆第3會期外交及國防委員會第15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 |
15 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
35 |
會議資料.委員會代碼:str[0] |
外交及國防委員會 |
會議資料.標題 |
第11屆第3會期外交及國防委員會第15次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-05-19T10:35:20+08:00 |
結束時間 |
2025-05-19T10:45:15+08:00 |
影片長度 |
00:09:55 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ecb6f54fb5d604f051539c2b67ccca7798327315c1c97455cb2fe453f4508dd4e3f5687b5b8c8e805ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
賴士葆 |
委員發言時間 |
10:35:20 - 10:45:15 |
會議時間 |
2025-05-19T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期外交及國防委員會第15次全體委員會議(事由:處理院會交付114年度中央政府總預算決議,外交部主管預算凍結案等48案。(詳如附件)) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
0.38534375 |
transcript.pyannote[0].end |
2.25846875 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
2.49471875 |
transcript.pyannote[1].end |
5.05971875 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
12.99096875 |
transcript.pyannote[2].end |
13.53096875 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
13.93596875 |
transcript.pyannote[3].end |
14.08784375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
14.42534375 |
transcript.pyannote[4].end |
14.86409375 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
15.50534375 |
transcript.pyannote[5].end |
17.37846875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
17.69909375 |
transcript.pyannote[6].end |
20.56784375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
20.77034375 |
transcript.pyannote[7].end |
23.87534375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
21.00659375 |
transcript.pyannote[8].end |
21.19221875 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
24.60096875 |
transcript.pyannote[9].end |
33.39284375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
33.67971875 |
transcript.pyannote[10].end |
34.92846875 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
35.33346875 |
transcript.pyannote[11].end |
36.32909375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
38.10096875 |
transcript.pyannote[12].end |
38.75909375 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
40.09221875 |
transcript.pyannote[13].end |
42.96096875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
42.97784375 |
transcript.pyannote[14].end |
42.99471875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
43.07909375 |
transcript.pyannote[15].end |
43.11284375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
43.11284375 |
transcript.pyannote[16].end |
43.48409375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
43.77096875 |
transcript.pyannote[17].end |
51.70221875 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
52.10721875 |
transcript.pyannote[18].end |
53.25471875 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
54.31784375 |
transcript.pyannote[19].end |
57.40596875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
58.03034375 |
transcript.pyannote[20].end |
60.52784375 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
61.40534375 |
transcript.pyannote[21].end |
62.23221875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
62.36721875 |
transcript.pyannote[22].end |
63.71721875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
64.03784375 |
transcript.pyannote[23].end |
65.60721875 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
66.09659375 |
transcript.pyannote[24].end |
72.00284375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
72.44159375 |
transcript.pyannote[25].end |
86.86971875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
84.69284375 |
transcript.pyannote[26].end |
87.30846875 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
88.15221875 |
transcript.pyannote[27].end |
95.40846875 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
95.59409375 |
transcript.pyannote[28].end |
97.01159375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
98.53034375 |
transcript.pyannote[29].end |
105.68534375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
101.17971875 |
transcript.pyannote[30].end |
105.51659375 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
105.87096875 |
transcript.pyannote[31].end |
109.36409375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
106.07346875 |
transcript.pyannote[32].end |
106.42784375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
109.93784375 |
transcript.pyannote[33].end |
112.21596875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
112.72221875 |
transcript.pyannote[34].end |
113.24534375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
113.59971875 |
transcript.pyannote[35].end |
114.13971875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
114.56159375 |
transcript.pyannote[36].end |
117.39659375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
117.86909375 |
transcript.pyannote[37].end |
119.03346875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
119.79284375 |
transcript.pyannote[38].end |
125.32784375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
126.08721875 |
transcript.pyannote[39].end |
126.81284375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
126.81284375 |
transcript.pyannote[40].end |
127.03221875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
127.03221875 |
transcript.pyannote[41].end |
129.88409375 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
128.61846875 |
transcript.pyannote[42].end |
129.19221875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
129.63096875 |
transcript.pyannote[43].end |
129.86721875 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
129.88409375 |
transcript.pyannote[44].end |
129.93471875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
129.93471875 |
transcript.pyannote[45].end |
129.96846875 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
129.96846875 |
transcript.pyannote[46].end |
131.03159375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
131.03159375 |
transcript.pyannote[47].end |
135.08159375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
132.43221875 |
transcript.pyannote[48].end |
133.03971875 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
133.95096875 |
transcript.pyannote[49].end |
139.97534375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
138.91221875 |
transcript.pyannote[50].end |
139.82346875 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
140.41409375 |
transcript.pyannote[51].end |
141.51096875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
140.48159375 |
transcript.pyannote[52].end |
143.78909375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
142.94534375 |
transcript.pyannote[53].end |
143.51909375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
144.27846875 |
transcript.pyannote[54].end |
148.85159375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
147.58596875 |
transcript.pyannote[55].end |
151.77096875 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
152.73284375 |
transcript.pyannote[56].end |
154.08284375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
154.40346875 |
transcript.pyannote[57].end |
156.61409375 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
156.81659375 |
transcript.pyannote[58].end |
158.33534375 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
158.94284375 |
transcript.pyannote[59].end |
162.85784375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
163.53284375 |
transcript.pyannote[60].end |
168.49409375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
168.59534375 |
transcript.pyannote[61].end |
170.01284375 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
170.28284375 |
transcript.pyannote[62].end |
172.29096875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
172.67909375 |
transcript.pyannote[63].end |
173.74221875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
174.53534375 |
transcript.pyannote[64].end |
174.97409375 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
175.49721875 |
transcript.pyannote[65].end |
176.44221875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
176.49284375 |
transcript.pyannote[66].end |
176.98221875 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
177.60659375 |
transcript.pyannote[67].end |
177.84284375 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
178.90596875 |
transcript.pyannote[68].end |
180.35721875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
181.53846875 |
transcript.pyannote[69].end |
182.12909375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
182.17971875 |
transcript.pyannote[70].end |
183.12471875 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
183.24284375 |
transcript.pyannote[71].end |
184.93034375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
185.03159375 |
transcript.pyannote[72].end |
193.30034375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
191.27534375 |
transcript.pyannote[73].end |
204.65721875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
203.13846875 |
transcript.pyannote[74].end |
210.74909375 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
210.74909375 |
transcript.pyannote[75].end |
211.96409375 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
211.08659375 |
transcript.pyannote[76].end |
211.76159375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
211.86284375 |
transcript.pyannote[77].end |
213.49971875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
214.61346875 |
transcript.pyannote[78].end |
218.22471875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
214.64721875 |
transcript.pyannote[79].end |
215.91284375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
218.74784375 |
transcript.pyannote[80].end |
220.90784375 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
221.41409375 |
transcript.pyannote[81].end |
223.30409375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
222.29159375 |
transcript.pyannote[82].end |
227.23596875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
227.82659375 |
transcript.pyannote[83].end |
237.24284375 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
233.10846875 |
transcript.pyannote[84].end |
247.57034375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
248.48159375 |
transcript.pyannote[85].end |
250.77659375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
251.41784375 |
transcript.pyannote[86].end |
253.08846875 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
253.44284375 |
transcript.pyannote[87].end |
258.18471875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
258.18471875 |
transcript.pyannote[88].end |
258.35346875 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
258.35346875 |
transcript.pyannote[89].end |
258.48846875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
258.48846875 |
transcript.pyannote[90].end |
258.99471875 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
258.99471875 |
transcript.pyannote[91].end |
259.02846875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
259.02846875 |
transcript.pyannote[92].end |
259.09596875 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
259.09596875 |
transcript.pyannote[93].end |
261.54284375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
259.26471875 |
transcript.pyannote[94].end |
259.39971875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
259.43346875 |
transcript.pyannote[95].end |
268.03971875 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
262.74096875 |
transcript.pyannote[96].end |
264.51284375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
267.11159375 |
transcript.pyannote[97].end |
267.82034375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
268.44471875 |
transcript.pyannote[98].end |
268.98471875 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
268.98471875 |
transcript.pyannote[99].end |
269.33909375 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
269.33909375 |
transcript.pyannote[100].end |
269.81159375 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
269.99721875 |
transcript.pyannote[101].end |
277.57409375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
277.86096875 |
transcript.pyannote[102].end |
280.99971875 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
277.89471875 |
transcript.pyannote[103].end |
278.82284375 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
280.99971875 |
transcript.pyannote[104].end |
281.03346875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
281.03346875 |
transcript.pyannote[105].end |
281.06721875 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
281.06721875 |
transcript.pyannote[106].end |
281.99534375 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
282.70409375 |
transcript.pyannote[107].end |
286.97346875 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
282.82221875 |
transcript.pyannote[108].end |
283.05846875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
283.37909375 |
transcript.pyannote[109].end |
284.88096875 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
287.78346875 |
transcript.pyannote[110].end |
291.15846875 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
289.99409375 |
transcript.pyannote[111].end |
291.04034375 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
291.78284375 |
transcript.pyannote[112].end |
292.57596875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
293.01471875 |
transcript.pyannote[113].end |
297.38534375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
297.57096875 |
transcript.pyannote[114].end |
299.10659375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
299.46096875 |
transcript.pyannote[115].end |
312.33659375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
312.65721875 |
transcript.pyannote[116].end |
313.21409375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
313.80471875 |
transcript.pyannote[117].end |
315.57659375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
316.15034375 |
transcript.pyannote[118].end |
316.16721875 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
316.16721875 |
transcript.pyannote[119].end |
316.84221875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
316.30221875 |
transcript.pyannote[120].end |
316.85909375 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
316.85909375 |
transcript.pyannote[121].end |
316.87596875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
316.87596875 |
transcript.pyannote[122].end |
316.90971875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
317.16284375 |
transcript.pyannote[123].end |
317.44971875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
317.60159375 |
transcript.pyannote[124].end |
318.34409375 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
318.34409375 |
transcript.pyannote[125].end |
318.36096875 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
318.74909375 |
transcript.pyannote[126].end |
331.79346875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
329.51534375 |
transcript.pyannote[127].end |
330.59534375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
331.16909375 |
transcript.pyannote[128].end |
335.11784375 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
332.55284375 |
transcript.pyannote[129].end |
335.06721875 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
335.40471875 |
transcript.pyannote[130].end |
335.97846875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
336.34971875 |
transcript.pyannote[131].end |
338.54346875 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
338.99909375 |
transcript.pyannote[132].end |
341.56409375 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
342.12096875 |
transcript.pyannote[133].end |
351.63846875 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
352.17846875 |
transcript.pyannote[134].end |
354.89534375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
355.40159375 |
transcript.pyannote[135].end |
356.70096875 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
356.93721875 |
transcript.pyannote[136].end |
358.47284375 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
358.70909375 |
transcript.pyannote[137].end |
359.73846875 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
360.61596875 |
transcript.pyannote[138].end |
363.11346875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
364.02471875 |
transcript.pyannote[139].end |
366.69096875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
366.89346875 |
transcript.pyannote[140].end |
368.96909375 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
369.08721875 |
transcript.pyannote[141].end |
370.63971875 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
370.80846875 |
transcript.pyannote[142].end |
371.12909375 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
370.94346875 |
transcript.pyannote[143].end |
374.26784375 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
375.21284375 |
transcript.pyannote[144].end |
375.34784375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
375.34784375 |
transcript.pyannote[145].end |
375.36471875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
375.36471875 |
transcript.pyannote[146].end |
380.61284375 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
375.66846875 |
transcript.pyannote[147].end |
375.76971875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
375.82034375 |
transcript.pyannote[148].end |
376.84971875 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
380.71409375 |
transcript.pyannote[149].end |
383.61659375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
381.33846875 |
transcript.pyannote[150].end |
385.15221875 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
385.45596875 |
transcript.pyannote[151].end |
386.45159375 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
386.45159375 |
transcript.pyannote[152].end |
388.74659375 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
388.59471875 |
transcript.pyannote[153].end |
392.20596875 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
392.30721875 |
transcript.pyannote[154].end |
401.31846875 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
401.99346875 |
transcript.pyannote[155].end |
407.41034375 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
408.77721875 |
transcript.pyannote[156].end |
409.51971875 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
409.45221875 |
transcript.pyannote[157].end |
418.24409375 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
413.16471875 |
transcript.pyannote[158].end |
416.16846875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
418.80096875 |
transcript.pyannote[159].end |
420.04971875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
419.94846875 |
transcript.pyannote[160].end |
423.74534375 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
424.09971875 |
transcript.pyannote[161].end |
429.92159375 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
424.74096875 |
transcript.pyannote[162].end |
428.67284375 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
428.99346875 |
transcript.pyannote[163].end |
439.64159375 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
437.66721875 |
transcript.pyannote[164].end |
437.68409375 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
437.83596875 |
transcript.pyannote[165].end |
444.14721875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
442.39221875 |
transcript.pyannote[166].end |
444.02909375 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
444.14721875 |
transcript.pyannote[167].end |
449.83409375 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
449.96909375 |
transcript.pyannote[168].end |
450.44159375 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
450.93096875 |
transcript.pyannote[169].end |
452.21346875 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
452.21346875 |
transcript.pyannote[170].end |
452.23034375 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
452.23034375 |
transcript.pyannote[171].end |
452.31471875 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
452.31471875 |
transcript.pyannote[172].end |
452.61846875 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
452.61846875 |
transcript.pyannote[173].end |
452.70284375 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
452.70284375 |
transcript.pyannote[174].end |
452.78721875 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
452.78721875 |
transcript.pyannote[175].end |
453.96846875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
453.96846875 |
transcript.pyannote[176].end |
455.58846875 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
455.58846875 |
transcript.pyannote[177].end |
466.15221875 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
459.72284375 |
transcript.pyannote[178].end |
461.42721875 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
462.59159375 |
transcript.pyannote[179].end |
462.81096875 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
464.54909375 |
transcript.pyannote[180].end |
464.70096875 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
464.92034375 |
transcript.pyannote[181].end |
465.71346875 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
465.73034375 |
transcript.pyannote[182].end |
465.78096875 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
466.37159375 |
transcript.pyannote[183].end |
469.51034375 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
469.91534375 |
transcript.pyannote[184].end |
470.20221875 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
470.43846875 |
transcript.pyannote[185].end |
470.69159375 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
471.09659375 |
transcript.pyannote[186].end |
478.70721875 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
478.70721875 |
transcript.pyannote[187].end |
482.94284375 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
483.26346875 |
transcript.pyannote[188].end |
484.14096875 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
484.59659375 |
transcript.pyannote[189].end |
486.13221875 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
487.07721875 |
transcript.pyannote[190].end |
488.25846875 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
488.84909375 |
transcript.pyannote[191].end |
490.73909375 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
491.26221875 |
transcript.pyannote[192].end |
492.86534375 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
493.21971875 |
transcript.pyannote[193].end |
495.02534375 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
495.27846875 |
transcript.pyannote[194].end |
503.83409375 |
transcript.pyannote[195].speaker |
SPEAKER_00 |
transcript.pyannote[195].start |
503.59784375 |
transcript.pyannote[195].end |
507.51284375 |
transcript.pyannote[196].speaker |
SPEAKER_00 |
transcript.pyannote[196].start |
508.05284375 |
transcript.pyannote[196].end |
517.36784375 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
511.00596875 |
transcript.pyannote[197].end |
511.03971875 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
511.07346875 |
transcript.pyannote[198].end |
511.42784375 |
transcript.pyannote[199].speaker |
SPEAKER_00 |
transcript.pyannote[199].start |
517.57034375 |
transcript.pyannote[199].end |
519.07221875 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
519.07221875 |
transcript.pyannote[200].end |
519.25784375 |
transcript.pyannote[201].speaker |
SPEAKER_00 |
transcript.pyannote[201].start |
519.25784375 |
transcript.pyannote[201].end |
520.74284375 |
transcript.pyannote[202].speaker |
SPEAKER_01 |
transcript.pyannote[202].start |
519.51096875 |
transcript.pyannote[202].end |
524.20221875 |
transcript.pyannote[203].speaker |
SPEAKER_00 |
transcript.pyannote[203].start |
524.20221875 |
transcript.pyannote[203].end |
533.31471875 |
transcript.pyannote[204].speaker |
SPEAKER_00 |
transcript.pyannote[204].start |
533.85471875 |
transcript.pyannote[204].end |
534.37784375 |
transcript.pyannote[205].speaker |
SPEAKER_00 |
transcript.pyannote[205].start |
535.01909375 |
transcript.pyannote[205].end |
538.27596875 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
535.08659375 |
transcript.pyannote[206].end |
536.09909375 |
transcript.pyannote[207].speaker |
SPEAKER_01 |
transcript.pyannote[207].start |
537.33096875 |
transcript.pyannote[207].end |
540.23346875 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
539.44034375 |
transcript.pyannote[208].end |
553.46346875 |
transcript.pyannote[209].speaker |
SPEAKER_01 |
transcript.pyannote[209].start |
545.32971875 |
transcript.pyannote[209].end |
548.95784375 |
transcript.pyannote[210].speaker |
SPEAKER_01 |
transcript.pyannote[210].start |
550.08846875 |
transcript.pyannote[210].end |
553.26096875 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
553.46346875 |
transcript.pyannote[211].end |
554.12159375 |
transcript.pyannote[212].speaker |
SPEAKER_00 |
transcript.pyannote[212].start |
553.53096875 |
transcript.pyannote[212].end |
554.08784375 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
555.01596875 |
transcript.pyannote[213].end |
555.03284375 |
transcript.pyannote[214].speaker |
SPEAKER_01 |
transcript.pyannote[214].start |
555.03284375 |
transcript.pyannote[214].end |
555.08346875 |
transcript.pyannote[215].speaker |
SPEAKER_00 |
transcript.pyannote[215].start |
555.08346875 |
transcript.pyannote[215].end |
555.16784375 |
transcript.pyannote[216].speaker |
SPEAKER_01 |
transcript.pyannote[216].start |
555.16784375 |
transcript.pyannote[216].end |
555.89346875 |
transcript.pyannote[217].speaker |
SPEAKER_00 |
transcript.pyannote[217].start |
555.28596875 |
transcript.pyannote[217].end |
555.74159375 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
556.33221875 |
transcript.pyannote[218].end |
561.04034375 |
transcript.pyannote[219].speaker |
SPEAKER_00 |
transcript.pyannote[219].start |
560.02784375 |
transcript.pyannote[219].end |
566.44034375 |
transcript.pyannote[220].speaker |
SPEAKER_01 |
transcript.pyannote[220].start |
561.54659375 |
transcript.pyannote[220].end |
564.24659375 |
transcript.pyannote[221].speaker |
SPEAKER_01 |
transcript.pyannote[221].start |
565.86659375 |
transcript.pyannote[221].end |
566.52471875 |
transcript.pyannote[222].speaker |
SPEAKER_01 |
transcript.pyannote[222].start |
566.65971875 |
transcript.pyannote[222].end |
567.35159375 |
transcript.pyannote[223].speaker |
SPEAKER_01 |
transcript.pyannote[223].start |
567.72284375 |
transcript.pyannote[223].end |
568.27971875 |
transcript.pyannote[224].speaker |
SPEAKER_01 |
transcript.pyannote[224].start |
568.60034375 |
transcript.pyannote[224].end |
573.03846875 |
transcript.pyannote[225].speaker |
SPEAKER_00 |
transcript.pyannote[225].start |
573.03846875 |
transcript.pyannote[225].end |
586.08284375 |
transcript.pyannote[226].speaker |
SPEAKER_01 |
transcript.pyannote[226].start |
582.47159375 |
transcript.pyannote[226].end |
594.16596875 |
transcript.pyannote[227].speaker |
SPEAKER_00 |
transcript.pyannote[227].start |
591.70221875 |
transcript.pyannote[227].end |
595.97159375 |
transcript.whisperx[0].start |
0.81 |
transcript.whisperx[0].end |
5.396 |
transcript.whisperx[0].text |
謝謝主席 一集各位先進有請外交部的林部長林部長 你好你好 |
transcript.whisperx[1].start |
15.963 |
transcript.whisperx[1].end |
35.86 |
transcript.whisperx[1].text |
這個讓你turn the gear剛才大家一直問你林昌佐等一下我再問好了我先問你一下另外的題目這個關於這個教宗前教宗方濟克的商禮以及現在新的教宗梁世世舊址請問你啊 |
transcript.whisperx[2].start |
40.154 |
transcript.whisperx[2].end |
51.079 |
transcript.whisperx[2].text |
教廷跟中華民國有沒有邦交有有邦交那當然要爭取總統或者副總統參與啊為什麼都爭取不到不對怎麼這麼難 |
transcript.whisperx[3].start |
54.409 |
transcript.whisperx[3].end |
68.455 |
transcript.whisperx[3].text |
是要這麼狠嗎 你有正式邦交國對不對他的舊的教宗的一個彌撒或者什麼的然後新的教宗的上任跟我們又有邦交國為什麼我們沒辦法徵集到我們的總統副總統去 為什麼 |
transcript.whisperx[4].start |
72.52 |
transcript.whisperx[4].end |
86.825 |
transcript.whisperx[4].text |
我們當然是希望有這樣子的機會那這一次經過雙邊的這個溝通那認為由陳前副總統 當然總統特使是比較好的安排怎麼比較好 戴琴得琴最好啦誰會知道啊 如果不像蕭美琴就可以啊有真是邦交國 哪裡有這個浪浪陳建能去的那還不如你去就好了 |
transcript.whisperx[5].start |
99.148 |
transcript.whisperx[5].end |
104.972 |
transcript.whisperx[5].text |
陳前副總統有他在國際上的地位不是啦而且他跟教廷的關係是長久的是啦 你這樣說我們就不要邦加國了啊那個叫實質外交的關係啊是不是部長這一部分老實講外交部做得很爛啦大扣分啦不然聽一聽你們爭取怎麼樣請問是來自中國大陸大家嗎 |
transcript.whisperx[6].start |
126.221 |
transcript.whisperx[6].end |
134.869 |
transcript.whisperx[6].text |
當然有啊 中國是什麼都會打壓的啊 不管是任何事情一推奧白虎啊 中華民國的外交部長很會做的我們只要呼吸 中共也會打壓所以中華民國外交部長很好做啊只要不順利就說啊 叫他打壓在國際上真的是我們外交的困境你也了解 我們也在不斷地突破中國大陸對台灣的打壓幾十年來都如此 |
transcript.whisperx[7].start |
152.776 |
transcript.whisperx[7].end |
156.278 |
transcript.whisperx[7].text |
他不是今天在打壓也不會說林鄭月娥當部長在打壓always打壓他跟我們有邦交國我要強調是這個他跟我有邦交國拍不出我們的總統也拍不出我們的副總統那是有夠假的我這部長有夠假的真正的照片好看是不是有夠假的真的我講這個話你接受嗎 |
transcript.whisperx[8].start |
181.564 |
transcript.whisperx[8].end |
188.167 |
transcript.whisperx[8].text |
我認為 我不接受啊你不接受 你說很棒其實外交是很複雜的委員也了解我們跟這個教廷的關係要能夠維繫然後我們也今天一共沒有正式邦交國這麼重要的慶典我們派不出我們的總統 副總統沒有辦法去你說你同學覺得怎麼樣我想新的教宗他應該也會有新的作為啦我們這個也是有所期待 |
transcript.whisperx[9].start |
210.896 |
transcript.whisperx[9].end |
213.258 |
transcript.whisperx[9].text |
你是準備要斷交了是不是我們希望關係可以不斷的再提升請問你今年度不會斷交嗎這個一年前委員也問過我我剛上任的時候我們就說 |
transcript.whisperx[10].start |
227.898 |
transcript.whisperx[10].end |
247.22 |
transcript.whisperx[10].text |
我們就是把12個邦交國都顧好這是基本的但是我們還是要除了顧邦還要容邦我們希望能夠在外交空間走出去純潔能區我沒有意見因為它又有天主教的背景但是我在意的是它是我們的邦交國它是我們的邦交國 |
transcript.whisperx[11].start |
248.53 |
transcript.whisperx[11].end |
257.692 |
transcript.whisperx[11].text |
不能夠只有搞實質外交關係正式外交關係請問你有沒有跟他們提出來說要請總統或者副總統去有沒有提出來我們都有溝通有沒有提出來陳副總統他也轉達了總統的致賀函面交他們也有回覆我問你 你有沒有正式跟他說我們要找我們的 請我們的總統出席 |
transcript.whisperx[12].start |
277.975 |
transcript.whisperx[12].end |
281.601 |
transcript.whisperx[12].text |
我們當然有列入我們的選項你有沒有跟他講啦我們透過駐教廷的大使他們說NO他們負責的國務院嘛就是還是原來的人嘛 |
transcript.whisperx[13].start |
292.12 |
transcript.whisperx[13].end |
316.694 |
transcript.whisperx[13].text |
國務院院長他們覺得這樣的安排是比較就是說很好的安排那我們覺得對長久來看我們的跟這個教廷的關係一定要建立在這樣的互信然後不斷去提升那過去有一些限制我們希望能夠突破什麼限制 |
transcript.whisperx[14].start |
318.84 |
transcript.whisperx[14].end |
338.191 |
transcript.whisperx[14].text |
因為大家應該也了解2018年這個涉及到的這個教廷跟中國的主教任命臨時協定那自從那個之後那個辦理當局台的一些這個政策啊我們看喔這個今年的WHA 也是說過CPTPP 大家說要去 也沒有 |
transcript.whisperx[15].start |
342.213 |
transcript.whisperx[15].end |
357.521 |
transcript.whisperx[15].text |
到現在為止萊豬也吃了核食也吃不了什麼都說那個你們以前的次長李存啊還公開說勒辯論的時候說只要吃了萊豬就可以加入CPTPP啊這樣咕咕咕啊CPTPP也沒有 都在騙啦都在騙啦 外交部變成說謊部啊 |
transcript.whisperx[16].start |
364.723 |
transcript.whisperx[16].end |
369.747 |
transcript.whisperx[16].text |
這個是真的很悲哀的事情好 最後一個題目回到今天大家很熱門的問請問你林昶佐到底是最早誰提出來的 |
transcript.whisperx[17].start |
375.25 |
transcript.whisperx[17].end |
401.144 |
transcript.whisperx[17].text |
林昶佐要當這個大使是你提出來的是不是任何大使代表這個都是總統所任命的所以總統交給你你就發布我外交部長當然我會綜合考量也會建議那以我們各個我們現在總和外交的推動來視財視所來安排駐外的這個大使跟代表 |
transcript.whisperx[18].start |
402.148 |
transcript.whisperx[18].end |
407.193 |
transcript.whisperx[18].text |
對啦 我是不知道啦 他是要去 現在是芬蘭欠歌手是不是欠歌手芬蘭不是只有重金屬音樂 芬蘭人權 安全 經貿 觀光都非常的發展我們不能夠小看了芬蘭對啊 不然我不知道林昶佐最主要就是怕我唱歌啊 |
transcript.whisperx[19].start |
424.851 |
transcript.whisperx[19].end |
440.421 |
transcript.whisperx[19].text |
他是以前你們的同事餒 兩屆的外交國防委員會而且就是他代表台灣到這個包括丹麥的民主峰會還受拜登總統之邀去華埔也是適合啊 你也很適合啊我覺得委員齁 委員您也非常適合欸您具備的資歷真的是 這個擔任大使啊真的可以說駕輕就熟啊 |
transcript.whisperx[20].start |
452.569 |
transcript.whisperx[20].end |
469.357 |
transcript.whisperx[20].text |
這樣後來就盡量讓大使都娶女兒就對了對 美國就是這樣國會議員去擔任大使的比比皆是這是未來的趨勢是不是未來的 不是現在就是如此不是說只有未來喔過去也是好 那就是先預祝穩定以後快要當大使啦 |
transcript.whisperx[21].start |
472.119 |
transcript.whisperx[21].end |
479.405 |
transcript.whisperx[21].text |
他不是這樣啦,他不是這樣啦,現在進行室都要找我們的立委當大使,我是第一次聽到啦國會議員啦,美國的國會議員當大使的,算起來我想我幾百人去了好啦,我跟你說啦齁 |
transcript.whisperx[22].start |
487.23 |
transcript.whisperx[22].end |
512.316 |
transcript.whisperx[22].text |
林昶佐他去擔任大使給外界的感覺就是是大陸人不認識還是沒有沒有 外交官外交官資深的像現在坐在這裡面的一堆外交官心裡他沒有XXX我都不相信委員您上次問的時候就好幾個現在去當大使了像那個住印尼的旁邊你最左邊那一個人那個他也很想當大使他時間到了也會去當他還沒有當 |
transcript.whisperx[23].start |
514.851 |
transcript.whisperx[23].end |
534.212 |
transcript.whisperx[23].text |
這裏面都有資格,而且很多人其實都...你說奇怪,你說那邊的人要做大使,這裏面的人要做大使,整間都要做大使我跟你講,比如像希臘,愛爾蘭,還有這個以前都是比較屬於非職業外交官現在都由職業外交官去擔任大使,最近的 |
transcript.whisperx[24].start |
535.009 |
transcript.whisperx[24].end |
536.01 |
transcript.whisperx[24].text |
林昭祖不是職業外交官吧林務局長啊去希臘啊還有我們的那個人社會主任區愛爾蘭我總結一句話就結束了你的意思就是說未來 |
transcript.whisperx[25].start |
555.046 |
transcript.whisperx[25].end |
573.318 |
transcript.whisperx[25].text |
立委 中國立委的 出任外交官的機會很大外交國安委員會特別是很適合啦 外交國安委員會現在做不吞黨派都很適合第二個 未來越多越多不是外交官擔任大使 |
transcript.whisperx[26].start |
573.638 |
transcript.whisperx[26].end |
576.4 |
transcript.whisperx[26].text |
這有一個比例的限制啦那有的是名額啦我們都是就是視財視所為主不是因為名額要可以賺多少我們還是職業外交官除了芬蘭比較堅堅堅堅堅堅堅堅堅堅堅堅堅堅堅堅堅堅 |