IVOD_ID |
163178 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/163178 |
日期 |
2025-07-17 |
影片種類 |
Clip |
開始時間 |
2025-07-17T09:35:59+08:00 |
結束時間 |
2025-07-17T09:42:47+08:00 |
影片長度 |
00:06:48 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/1404c3f0fc5b9857eb256e83f418afe984a924df5ef2610e5af1ef4f9e86959ba1c358d6c02bf3cc5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
賴士葆 |
委員發言時間 |
09:35:59 - 09:42:47 |
會議時間 |
2025-07-17T09:20:00+08:00 |
會議名稱 |
立法院第11屆第3會期財政委員會第6次公聽會(事由:召開「臺美政府對等關稅協商我國政府因應對策」公聽會) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
9.97034375 |
transcript.pyannote[0].end |
11.94471875 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
12.72096875 |
transcript.pyannote[1].end |
14.29034375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
14.64471875 |
transcript.pyannote[2].end |
15.21846875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
15.99471875 |
transcript.pyannote[3].end |
17.02409375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
17.42909375 |
transcript.pyannote[4].end |
18.47534375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
18.52596875 |
transcript.pyannote[5].end |
19.50471875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
19.99409375 |
transcript.pyannote[6].end |
20.80409375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
21.24284375 |
transcript.pyannote[7].end |
22.27221875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
22.82909375 |
transcript.pyannote[8].end |
24.16221875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
24.43221875 |
transcript.pyannote[9].end |
25.56284375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
25.69784375 |
transcript.pyannote[10].end |
27.31784375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
28.07721875 |
transcript.pyannote[11].end |
29.47784375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
30.30471875 |
transcript.pyannote[12].end |
32.26221875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
34.06784375 |
transcript.pyannote[13].end |
36.76784375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
37.51034375 |
transcript.pyannote[14].end |
38.01659375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
38.82659375 |
transcript.pyannote[15].end |
41.59409375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
42.15096875 |
transcript.pyannote[16].end |
44.14221875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
45.66096875 |
transcript.pyannote[17].end |
47.58471875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
47.83784375 |
transcript.pyannote[18].end |
49.79534375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
50.48721875 |
transcript.pyannote[19].end |
50.99346875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
51.16221875 |
transcript.pyannote[20].end |
51.70221875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
52.22534375 |
transcript.pyannote[21].end |
54.35159375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
54.70596875 |
transcript.pyannote[22].end |
58.77284375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
60.34221875 |
transcript.pyannote[23].end |
64.08846875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
64.66221875 |
transcript.pyannote[24].end |
65.18534375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
65.64096875 |
transcript.pyannote[25].end |
66.31596875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
66.63659375 |
transcript.pyannote[26].end |
68.35784375 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
69.03284375 |
transcript.pyannote[27].end |
69.65721875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
70.31534375 |
transcript.pyannote[28].end |
71.85096875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
72.15471875 |
transcript.pyannote[29].end |
73.11659375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
73.80846875 |
transcript.pyannote[30].end |
74.82096875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
75.22596875 |
transcript.pyannote[31].end |
76.49159375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
76.84596875 |
transcript.pyannote[32].end |
78.19596875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
78.78659375 |
transcript.pyannote[33].end |
81.40221875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
81.89159375 |
transcript.pyannote[34].end |
83.35971875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
83.86596875 |
transcript.pyannote[35].end |
84.64221875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
85.41846875 |
transcript.pyannote[36].end |
87.25784375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
87.66284375 |
transcript.pyannote[37].end |
95.86409375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
96.01596875 |
transcript.pyannote[38].end |
96.03284375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
96.04971875 |
transcript.pyannote[39].end |
97.11284375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
98.19284375 |
transcript.pyannote[40].end |
99.69471875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
100.72409375 |
transcript.pyannote[41].end |
103.13721875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
103.37346875 |
transcript.pyannote[42].end |
106.02284375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
106.34346875 |
transcript.pyannote[43].end |
108.60471875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
109.14471875 |
transcript.pyannote[44].end |
111.54096875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
112.14846875 |
transcript.pyannote[45].end |
113.29596875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
114.13971875 |
transcript.pyannote[46].end |
115.13534375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
115.48971875 |
transcript.pyannote[47].end |
116.53596875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
117.22784375 |
transcript.pyannote[48].end |
118.22346875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
118.56096875 |
transcript.pyannote[49].end |
119.33721875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
120.29909375 |
transcript.pyannote[50].end |
122.02034375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
122.67846875 |
transcript.pyannote[51].end |
123.06659375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
123.99471875 |
transcript.pyannote[52].end |
125.61471875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
127.25159375 |
transcript.pyannote[53].end |
129.95159375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
130.37346875 |
transcript.pyannote[54].end |
130.81221875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
131.01471875 |
transcript.pyannote[55].end |
132.22971875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
132.58409375 |
transcript.pyannote[56].end |
133.84971875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
135.62159375 |
transcript.pyannote[57].end |
136.66784375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
137.05596875 |
transcript.pyannote[58].end |
138.60846875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
140.17784375 |
transcript.pyannote[59].end |
141.35909375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
141.59534375 |
transcript.pyannote[60].end |
143.29971875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
143.97471875 |
transcript.pyannote[61].end |
144.31221875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
145.47659375 |
transcript.pyannote[62].end |
146.15159375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
146.80971875 |
transcript.pyannote[63].end |
147.43409375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
147.63659375 |
transcript.pyannote[64].end |
149.27346875 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
149.61096875 |
transcript.pyannote[65].end |
150.74159375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
152.15909375 |
transcript.pyannote[66].end |
153.77909375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
154.85909375 |
transcript.pyannote[67].end |
156.07409375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
156.95159375 |
transcript.pyannote[68].end |
157.27221875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
158.26784375 |
transcript.pyannote[69].end |
160.66409375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
160.90034375 |
transcript.pyannote[70].end |
161.82846875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
163.04346875 |
transcript.pyannote[71].end |
163.33034375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
163.80284375 |
transcript.pyannote[72].end |
165.45659375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
166.70534375 |
transcript.pyannote[73].end |
167.39721875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
168.29159375 |
transcript.pyannote[74].end |
168.64596875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
169.38846875 |
transcript.pyannote[75].end |
171.88596875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
172.84784375 |
transcript.pyannote[76].end |
173.65784375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
174.58596875 |
transcript.pyannote[77].end |
177.82596875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
178.31534375 |
transcript.pyannote[78].end |
178.63596875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
178.87221875 |
transcript.pyannote[79].end |
180.37409375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
181.35284375 |
transcript.pyannote[80].end |
182.02784375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
182.71971875 |
transcript.pyannote[81].end |
183.34409375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
184.17096875 |
transcript.pyannote[82].end |
186.75284375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
187.83284375 |
transcript.pyannote[83].end |
188.50784375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
189.80721875 |
transcript.pyannote[84].end |
190.46534375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
191.76471875 |
transcript.pyannote[85].end |
194.88659375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
196.57409375 |
transcript.pyannote[86].end |
197.92409375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
199.49346875 |
transcript.pyannote[87].end |
200.32034375 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
200.82659375 |
transcript.pyannote[88].end |
201.90659375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
203.20596875 |
transcript.pyannote[89].end |
205.95659375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
206.74971875 |
transcript.pyannote[90].end |
207.79596875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
208.09971875 |
transcript.pyannote[91].end |
212.68971875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
213.53346875 |
transcript.pyannote[92].end |
219.76034375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
220.13159375 |
transcript.pyannote[93].end |
220.92471875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
223.23659375 |
transcript.pyannote[94].end |
224.01284375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
225.32909375 |
transcript.pyannote[95].end |
226.24034375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
226.66221875 |
transcript.pyannote[96].end |
227.80971875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
228.45096875 |
transcript.pyannote[97].end |
229.63221875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
230.23971875 |
transcript.pyannote[98].end |
230.81346875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
231.01596875 |
transcript.pyannote[99].end |
232.80471875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
233.81721875 |
transcript.pyannote[100].end |
235.06596875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
235.87596875 |
transcript.pyannote[101].end |
238.81221875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
238.91346875 |
transcript.pyannote[102].end |
240.17909375 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
240.95534375 |
transcript.pyannote[103].end |
242.17034375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
243.13221875 |
transcript.pyannote[104].end |
244.51596875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
245.49471875 |
transcript.pyannote[105].end |
246.89534375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
248.09346875 |
transcript.pyannote[106].end |
249.17346875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
250.35471875 |
transcript.pyannote[107].end |
251.09721875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
251.89034375 |
transcript.pyannote[108].end |
253.54409375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
254.30346875 |
transcript.pyannote[109].end |
257.62784375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
258.42096875 |
transcript.pyannote[110].end |
259.85534375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
260.80034375 |
transcript.pyannote[111].end |
261.88034375 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
262.89284375 |
transcript.pyannote[112].end |
263.83784375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
263.90534375 |
transcript.pyannote[113].end |
264.66471875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
266.08221875 |
transcript.pyannote[114].end |
267.61784375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
268.86659375 |
transcript.pyannote[115].end |
269.60909375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
269.87909375 |
transcript.pyannote[116].end |
271.53284375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
272.25846875 |
transcript.pyannote[117].end |
272.83221875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
272.91659375 |
transcript.pyannote[118].end |
275.04284375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
275.98784375 |
transcript.pyannote[119].end |
277.48971875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
277.87784375 |
transcript.pyannote[120].end |
278.35034375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
278.72159375 |
transcript.pyannote[121].end |
280.83096875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
281.30346875 |
transcript.pyannote[122].end |
282.46784375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
282.67034375 |
transcript.pyannote[123].end |
283.39596875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
283.95284375 |
transcript.pyannote[124].end |
284.93159375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
285.57284375 |
transcript.pyannote[125].end |
287.73284375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
288.27284375 |
transcript.pyannote[126].end |
290.04471875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
290.24721875 |
transcript.pyannote[127].end |
291.12471875 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
291.52971875 |
transcript.pyannote[128].end |
292.67721875 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
293.09909375 |
transcript.pyannote[129].end |
294.88784375 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
296.11971875 |
transcript.pyannote[130].end |
297.45284375 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
298.26284375 |
transcript.pyannote[131].end |
298.80284375 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
299.74784375 |
transcript.pyannote[132].end |
301.97534375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
302.21159375 |
transcript.pyannote[133].end |
303.17346875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
303.74721875 |
transcript.pyannote[134].end |
304.87784375 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
305.43471875 |
transcript.pyannote[135].end |
306.10971875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
306.22784375 |
transcript.pyannote[136].end |
307.03784375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
307.08846875 |
transcript.pyannote[137].end |
308.79284375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
309.29909375 |
transcript.pyannote[138].end |
311.25659375 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
311.56034375 |
transcript.pyannote[139].end |
312.37034375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
313.66971875 |
transcript.pyannote[140].end |
314.69909375 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
315.03659375 |
transcript.pyannote[141].end |
316.99409375 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
317.39909375 |
transcript.pyannote[142].end |
318.91784375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
318.96846875 |
transcript.pyannote[143].end |
322.83284375 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
323.20409375 |
transcript.pyannote[144].end |
323.91284375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
324.23346875 |
transcript.pyannote[145].end |
329.44784375 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
329.58284375 |
transcript.pyannote[146].end |
330.25784375 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
330.39284375 |
transcript.pyannote[147].end |
332.38409375 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
333.58221875 |
transcript.pyannote[148].end |
334.96596875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
335.77596875 |
transcript.pyannote[149].end |
337.75034375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
338.62784375 |
transcript.pyannote[150].end |
339.84284375 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
340.24784375 |
transcript.pyannote[151].end |
341.46284375 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
342.03659375 |
transcript.pyannote[152].end |
343.72409375 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
344.01096875 |
transcript.pyannote[153].end |
345.61409375 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
346.03596875 |
transcript.pyannote[154].end |
346.81221875 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
347.36909375 |
transcript.pyannote[155].end |
347.84159375 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
347.99346875 |
transcript.pyannote[156].end |
348.49971875 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
349.15784375 |
transcript.pyannote[157].end |
349.71471875 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
350.42346875 |
transcript.pyannote[158].end |
350.52471875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
351.57096875 |
transcript.pyannote[159].end |
352.39784375 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
352.70159375 |
transcript.pyannote[160].end |
354.65909375 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
355.08096875 |
transcript.pyannote[161].end |
355.55346875 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
356.85284375 |
transcript.pyannote[162].end |
357.86534375 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
359.11409375 |
transcript.pyannote[163].end |
360.54846875 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
361.17284375 |
transcript.pyannote[164].end |
362.26971875 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
362.37096875 |
transcript.pyannote[165].end |
364.05846875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
364.39596875 |
transcript.pyannote[166].end |
365.57721875 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
366.15096875 |
transcript.pyannote[167].end |
366.60659375 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
367.16346875 |
transcript.pyannote[168].end |
368.41221875 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
368.88471875 |
transcript.pyannote[169].end |
370.94346875 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
372.00659375 |
transcript.pyannote[170].end |
373.00221875 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
373.82909375 |
transcript.pyannote[171].end |
374.13284375 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
374.63909375 |
transcript.pyannote[172].end |
376.17471875 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
377.33909375 |
transcript.pyannote[173].end |
377.72721875 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
377.92971875 |
transcript.pyannote[174].end |
379.43159375 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
379.75221875 |
transcript.pyannote[175].end |
380.37659375 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
380.62971875 |
transcript.pyannote[176].end |
382.36784375 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
383.75159375 |
transcript.pyannote[177].end |
384.66284375 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
384.74721875 |
transcript.pyannote[178].end |
386.06346875 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
387.36284375 |
transcript.pyannote[179].end |
389.21909375 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
389.55659375 |
transcript.pyannote[180].end |
393.23534375 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
393.72471875 |
transcript.pyannote[181].end |
394.41659375 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
394.51784375 |
transcript.pyannote[182].end |
395.68221875 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
396.07034375 |
transcript.pyannote[183].end |
396.47534375 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
397.01534375 |
transcript.pyannote[184].end |
399.04034375 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
400.98096875 |
transcript.pyannote[185].end |
401.60534375 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
401.87534375 |
transcript.pyannote[186].end |
402.90471875 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
402.97221875 |
transcript.pyannote[187].end |
403.88346875 |
transcript.whisperx[0].start |
10.354 |
transcript.whisperx[0].end |
31.519 |
transcript.whisperx[0].text |
謝謝主席 以及各位先進我補充一下 剛才我在起頭的時候啊舒适來講 講偏了我說那個雞腿棒啊關稅17.5啊我講少了 真的關稅是20%啊20%啊 各位如果雞腿棒變零關稅 |
transcript.whisperx[1].start |
34.107 |
transcript.whisperx[1].end |
58.421 |
transcript.whisperx[1].text |
各位你可以想像農民的傷害有多大嗎第二個我們整體美國進來台灣的關稅一百七十二億六十六億貨物稅貨物稅就是所謂的這個非關稅的障礙非貿易障礙營業稅我們收到的是三百九十一億 |
transcript.whisperx[2].start |
60.71 |
transcript.whisperx[2].end |
83.111 |
transcript.whisperx[2].text |
這裡面我很關心的 我相信很多立委都很關心的就是台灣是不是已經被要求了領婚稅等一下我們請副總代表一定要告訴我們雖然說你們不揭露答案但是今天公聽會你可以讓大家知道是不是被要求領婚稅我認為 |
transcript.whisperx[3].start |
85.473 |
transcript.whisperx[3].end |
96.791 |
transcript.whisperx[3].text |
我們極可能被要求零關稅當然有其他專業學者會講說更在意其他的產品不是這個可是現在零關稅面臨到最大的兩個產業一個就是農業一個就是汽車產業 |
transcript.whisperx[4].start |
100.768 |
transcript.whisperx[4].end |
125.256 |
transcript.whisperx[4].text |
汽車產業當然有委員提說已經保護這麼久了應該降為零關稅可是能夠一下子馬上降嗎等一下經濟部的長官也不是意見啊一下子降為零台灣的汽車業還有汽車能夠活那就關門算了幾個關門了而且第三大題我要強調的可以我們是民主國家 |
transcript.whisperx[5].start |
127.401 |
transcript.whisperx[5].end |
133.828 |
transcript.whisperx[5].text |
所有政府去跟他談的結果第二包括合約包括關稅你要降稅要經過立法院同意喔 |
transcript.whisperx[6].start |
140.239 |
transcript.whisperx[6].end |
165.131 |
transcript.whisperx[6].text |
最後簽字 最後同意的是立法院剛剛我跟 請教我們的總部長我們總部長很認真地做了我問他一個問題啊 說如果我們不同意咧他看起來好像一路就不宣布不同意的樣子而已我向剛剛的長官報告 |
transcript.whisperx[7].start |
166.761 |
transcript.whisperx[7].end |
194.51 |
transcript.whisperx[7].text |
最後要說怎麼過是立法院是立法院所以我們立法院可以做後盾今天我今天講這一話都正式的紀錄留下來我們就是我可以講我們不能接受美國要求我們的零關稅絕不接受絕不接受我們已經付出夠多了他現在給越南的情況 |
transcript.whisperx[8].start |
197.058 |
transcript.whisperx[8].end |
219.272 |
transcript.whisperx[8].text |
專買增加天然氣天然氣我們要從原來的這個10%要變成30%從美國而且還免費從北極圈到阿拉斯卡的那個管線我們要負擔440億美金的三分之一那就是將近150億美金那就是4000多億台幣我們負擔的這筆錢 |
transcript.whisperx[9].start |
225.356 |
transcript.whisperx[9].end |
244.29 |
transcript.whisperx[9].text |
我們付出負擔台積電一千億川普總統說兩千又說三千到底是多少我們付出不夠多嗎他們說 喔 越南又買了幾十架波音台灣沒有買波音嗎連七八七都買了台灣都先付啦還沒談就先付啦這種情況之下 |
transcript.whisperx[10].start |
250.387 |
transcript.whisperx[10].end |
267.381 |
transcript.whisperx[10].text |
我們的了解在談判的過程當中一開始你底牌揭露我們等於是跪著跟他談了能探出一個什麼好的地方外界高度質疑否則為什麼你們不宣布呢不講進度呢 全部黑箱 |
transcript.whisperx[11].start |
268.902 |
transcript.whisperx[11].end |
294.459 |
transcript.whisperx[11].text |
你可以看看日本的首相石破茂怎麼講 說七十零關稅 絕不接受美日關係多好啊在日本還有美國的駐軍多麼的依賴美國的方法他都敢這樣說結果我們的官員從頭到尾沒有一個人敢跟美國說NO全部都說YES人家沒開口 先給 |
transcript.whisperx[12].start |
296.161 |
transcript.whisperx[12].end |
312.033 |
transcript.whisperx[12].text |
我們坦白是這樣談的所以等一下真的請政府的官員代表要跟我們講一下到底為什麼川普政府馬上要公佈世界100多個國家馬上要公佈一口氣公佈 |
transcript.whisperx[13].start |
313.733 |
transcript.whisperx[13].end |
331.144 |
transcript.whisperx[13].text |
那時候就醜媳婦見公婆了那時候台灣怎麼樣就很清楚了就很清楚的沒有閃躲的空間但是呢現在外界另外一個質疑我剛才忘了講了現在想到很重要的質疑就是什麼即使早就談了 知道了 |
transcript.whisperx[14].start |
333.645 |
transcript.whisperx[14].end |
349.554 |
transcript.whisperx[14].text |
只是因為大罷免啊因為談得不好 對大罷免不利所以把它拖啊 拖在7.26之後甚至要拖到8.2升之後因為8.2升是第二體制的這個所謂的罷免 8.2升是另外一個體制所以我要強調的是 |
transcript.whisperx[15].start |
359.484 |
transcript.whisperx[15].end |
382.422 |
transcript.whisperx[15].text |
這個是關係到我們的產業發展關係到我們的就業人口關係到台灣人的生存的問題我覺得真的拜託政府官員不要政治化不要政治化我再講一遍我代表個人我是台灣的立委檢察委我代表個人零關稅絕對不能接受 |
transcript.whisperx[16].start |
387.403 |
transcript.whisperx[16].end |
397.478 |
transcript.whisperx[16].text |
如果你們談出來結果不管怎麼談到什麼20%啦怎麼樣啦說台灣竟然是零關稅那就是喪權辱國謝謝好 謝謝賴市長來召委接著請黃國昌黃委員發言 |