IVOD_ID |
160123 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160123 |
日期 |
2025-04-11 |
會議資料.會議代碼 |
院會-11-3-7 |
會議資料.會議代碼:str |
第11屆第3會期第7次會議 |
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 |
院會 |
會議資料.標題 |
第11屆第3會期第7次會議 |
影片種類 |
Clip |
開始時間 |
2025-04-11T15:02:18+08:00 |
結束時間 |
2025-04-11T15:17:55+08:00 |
影片長度 |
00:15:37 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/612fb6649aede2357ae666fb144c50b74ee85e61fece82c24aafdbe7f0d479b9c6a74b42f456a0955ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
傅崐萁 |
委員發言時間 |
15:02:18 - 15:17:55 |
會議時間 |
2025-04-11T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第7次會議(事由:一、覆議案之處理事項(4月11日上午)。二、行政院院長提出針對美國關稅政策因應作為專案報告並備質詢(4月11日下午)。三、對行政院院長提出施政方針及施政報告繼續質詢(4月15日)。四、4月11日上午9時至10時為國是論壇時間。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
12.40034375 |
transcript.pyannote[0].end |
12.48471875 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
14.22284375 |
transcript.pyannote[1].end |
15.85971875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
16.41659375 |
transcript.pyannote[2].end |
18.10409375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
28.11096875 |
transcript.pyannote[3].end |
28.71846875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
29.95034375 |
transcript.pyannote[4].end |
30.77721875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
31.24971875 |
transcript.pyannote[5].end |
31.82346875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
32.61659375 |
transcript.pyannote[6].end |
32.93721875 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
32.93721875 |
transcript.pyannote[7].end |
33.86534375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
33.86534375 |
transcript.pyannote[8].end |
35.29971875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
35.33346875 |
transcript.pyannote[9].end |
35.68784375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
36.51471875 |
transcript.pyannote[10].end |
37.59471875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
38.84346875 |
transcript.pyannote[11].end |
39.70409375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
40.39596875 |
transcript.pyannote[12].end |
41.56034375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
42.33659375 |
transcript.pyannote[13].end |
43.77096875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
45.01971875 |
transcript.pyannote[14].end |
46.35284375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
47.07846875 |
transcript.pyannote[15].end |
48.02346875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
49.17096875 |
transcript.pyannote[16].end |
50.74034375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
52.20846875 |
transcript.pyannote[17].end |
53.22096875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
54.04784375 |
transcript.pyannote[18].end |
55.33034375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
56.07284375 |
transcript.pyannote[19].end |
57.15284375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
57.49034375 |
transcript.pyannote[20].end |
58.85721875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
59.85284375 |
transcript.pyannote[21].end |
61.40534375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
62.55284375 |
transcript.pyannote[22].end |
63.53159375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
63.97034375 |
transcript.pyannote[23].end |
64.89846875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
65.82659375 |
transcript.pyannote[24].end |
67.17659375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
68.12159375 |
transcript.pyannote[25].end |
69.11721875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
71.69909375 |
transcript.pyannote[26].end |
72.32346875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
72.66096875 |
transcript.pyannote[27].end |
73.55534375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
74.28096875 |
transcript.pyannote[28].end |
75.96846875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
76.23846875 |
transcript.pyannote[29].end |
77.16659375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
77.62221875 |
transcript.pyannote[30].end |
78.85409375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
79.84971875 |
transcript.pyannote[31].end |
81.09846875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
82.60034375 |
transcript.pyannote[32].end |
83.54534375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
84.27096875 |
transcript.pyannote[33].end |
85.35096875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
85.84034375 |
transcript.pyannote[34].end |
87.46034375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
88.28721875 |
transcript.pyannote[35].end |
90.22784375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
91.08846875 |
transcript.pyannote[36].end |
93.18096875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
94.27784375 |
transcript.pyannote[37].end |
95.64471875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
96.30284375 |
transcript.pyannote[38].end |
97.02846875 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
97.23096875 |
transcript.pyannote[39].end |
98.27721875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
99.50909375 |
transcript.pyannote[40].end |
100.48784375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
101.82096875 |
transcript.pyannote[41].end |
103.84596875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
104.11596875 |
transcript.pyannote[42].end |
104.50409375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
105.16221875 |
transcript.pyannote[43].end |
106.93409375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
108.28409375 |
transcript.pyannote[44].end |
109.04346875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
109.92096875 |
transcript.pyannote[45].end |
110.86596875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
111.82784375 |
transcript.pyannote[46].end |
112.62096875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
113.49846875 |
transcript.pyannote[47].end |
114.57846875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
115.48971875 |
transcript.pyannote[48].end |
116.04659375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
116.26596875 |
transcript.pyannote[49].end |
117.83534375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
117.83534375 |
transcript.pyannote[50].end |
117.86909375 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
118.17284375 |
transcript.pyannote[51].end |
120.18096875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
120.26534375 |
transcript.pyannote[52].end |
123.21846875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
124.11284375 |
transcript.pyannote[53].end |
124.66971875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
124.97346875 |
transcript.pyannote[54].end |
126.35721875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
127.82534375 |
transcript.pyannote[55].end |
128.44971875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
128.90534375 |
transcript.pyannote[56].end |
131.30159375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
132.43221875 |
transcript.pyannote[57].end |
133.41096875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
134.10284375 |
transcript.pyannote[58].end |
135.33471875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
135.75659375 |
transcript.pyannote[59].end |
136.80284375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
137.10659375 |
transcript.pyannote[60].end |
139.04721875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
139.48596875 |
transcript.pyannote[61].end |
140.24534375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
140.56596875 |
transcript.pyannote[62].end |
142.01721875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
142.84409375 |
transcript.pyannote[63].end |
144.85221875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
145.64534375 |
transcript.pyannote[64].end |
146.70846875 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
147.09659375 |
transcript.pyannote[65].end |
147.85596875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
149.02034375 |
transcript.pyannote[66].end |
150.57284375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
151.07909375 |
transcript.pyannote[67].end |
151.87221875 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
152.53034375 |
transcript.pyannote[68].end |
154.21784375 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
155.09534375 |
transcript.pyannote[69].end |
159.17909375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
160.09034375 |
transcript.pyannote[70].end |
161.11971875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
161.54159375 |
transcript.pyannote[71].end |
164.00534375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
164.35971875 |
transcript.pyannote[72].end |
165.45659375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
166.09784375 |
transcript.pyannote[73].end |
166.87409375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
168.03846875 |
transcript.pyannote[74].end |
170.08034375 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
172.00409375 |
transcript.pyannote[75].end |
173.16846875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
173.87721875 |
transcript.pyannote[76].end |
175.00784375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
175.53096875 |
transcript.pyannote[77].end |
176.94846875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
177.31971875 |
transcript.pyannote[78].end |
179.74971875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
180.72846875 |
transcript.pyannote[79].end |
183.68159375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
183.91784375 |
transcript.pyannote[80].end |
185.47034375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
186.17909375 |
transcript.pyannote[81].end |
186.38159375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
186.93846875 |
transcript.pyannote[82].end |
188.50784375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
189.26721875 |
transcript.pyannote[83].end |
190.11096875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
191.07284375 |
transcript.pyannote[84].end |
192.06846875 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
192.23721875 |
transcript.pyannote[85].end |
192.86159375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
193.36784375 |
transcript.pyannote[86].end |
194.68409375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
195.34221875 |
transcript.pyannote[87].end |
197.18159375 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
197.75534375 |
transcript.pyannote[88].end |
197.95784375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
198.49784375 |
transcript.pyannote[89].end |
200.97846875 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
200.97846875 |
transcript.pyannote[90].end |
201.13034375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
201.36659375 |
transcript.pyannote[91].end |
201.40034375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
201.40034375 |
transcript.pyannote[92].end |
204.08346875 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
204.50534375 |
transcript.pyannote[93].end |
208.52159375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
209.24721875 |
transcript.pyannote[94].end |
212.20034375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
210.90096875 |
transcript.pyannote[95].end |
211.84596875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
212.20034375 |
transcript.pyannote[96].end |
216.77346875 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
213.43221875 |
transcript.pyannote[97].end |
213.73596875 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
216.28409375 |
transcript.pyannote[98].end |
223.20284375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
223.69221875 |
transcript.pyannote[99].end |
227.94471875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
228.82221875 |
transcript.pyannote[100].end |
230.76284375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
231.80909375 |
transcript.pyannote[101].end |
234.77909375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
235.04909375 |
transcript.pyannote[102].end |
237.09096875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
237.86721875 |
transcript.pyannote[103].end |
238.03596875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
238.47471875 |
transcript.pyannote[104].end |
240.51659375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
240.95534375 |
transcript.pyannote[105].end |
242.44034375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
242.96346875 |
transcript.pyannote[106].end |
246.43971875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
247.04721875 |
transcript.pyannote[107].end |
247.24971875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
247.67159375 |
transcript.pyannote[108].end |
252.10971875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
252.97034375 |
transcript.pyannote[109].end |
253.99971875 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
254.59034375 |
transcript.pyannote[110].end |
257.76284375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
257.94846875 |
transcript.pyannote[111].end |
259.45034375 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
260.26034375 |
transcript.pyannote[112].end |
262.57221875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
263.12909375 |
transcript.pyannote[113].end |
265.20471875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
265.79534375 |
transcript.pyannote[114].end |
266.97659375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
267.46596875 |
transcript.pyannote[115].end |
271.21221875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
271.24596875 |
transcript.pyannote[116].end |
272.64659375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
273.06846875 |
transcript.pyannote[117].end |
273.33846875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
274.11471875 |
transcript.pyannote[118].end |
276.27471875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
276.40971875 |
transcript.pyannote[119].end |
278.18159375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
279.24471875 |
transcript.pyannote[120].end |
280.45971875 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
281.05034375 |
transcript.pyannote[121].end |
282.45096875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
283.07534375 |
transcript.pyannote[122].end |
284.71221875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
285.13409375 |
transcript.pyannote[123].end |
285.43784375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
286.39971875 |
transcript.pyannote[124].end |
289.50471875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
290.23034375 |
transcript.pyannote[125].end |
293.74034375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
293.87534375 |
transcript.pyannote[126].end |
295.07346875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
296.15346875 |
transcript.pyannote[127].end |
297.60471875 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
298.49909375 |
transcript.pyannote[128].end |
301.03034375 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
302.07659375 |
transcript.pyannote[129].end |
304.15221875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
304.99596875 |
transcript.pyannote[130].end |
306.66659375 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
307.15596875 |
transcript.pyannote[131].end |
308.10096875 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
308.94471875 |
transcript.pyannote[132].end |
311.45909375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
312.48846875 |
transcript.pyannote[133].end |
314.02409375 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
314.85096875 |
transcript.pyannote[134].end |
317.82096875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
318.29346875 |
transcript.pyannote[135].end |
319.55909375 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
320.87534375 |
transcript.pyannote[136].end |
323.27159375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
324.11534375 |
transcript.pyannote[137].end |
325.46534375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
326.27534375 |
transcript.pyannote[138].end |
327.69284375 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
328.36784375 |
transcript.pyannote[139].end |
329.43096875 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
330.08909375 |
transcript.pyannote[140].end |
333.12659375 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
334.15596875 |
transcript.pyannote[141].end |
335.30346875 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
335.87721875 |
transcript.pyannote[142].end |
338.44221875 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
339.23534375 |
transcript.pyannote[143].end |
340.58534375 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
341.69909375 |
transcript.pyannote[144].end |
342.67784375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
343.16721875 |
transcript.pyannote[145].end |
343.82534375 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
344.23034375 |
transcript.pyannote[146].end |
344.97284375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
344.97284375 |
transcript.pyannote[147].end |
345.02346875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
345.02346875 |
transcript.pyannote[148].end |
345.04034375 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
345.25971875 |
transcript.pyannote[149].end |
345.29346875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
345.29346875 |
transcript.pyannote[150].end |
345.69846875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
346.18784375 |
transcript.pyannote[151].end |
347.77409375 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
348.44909375 |
transcript.pyannote[152].end |
350.69346875 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
350.91284375 |
transcript.pyannote[153].end |
352.16159375 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
352.54971875 |
transcript.pyannote[154].end |
354.05159375 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
354.49034375 |
transcript.pyannote[155].end |
356.73471875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
356.92034375 |
transcript.pyannote[156].end |
357.83159375 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
358.59096875 |
transcript.pyannote[157].end |
361.51034375 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
361.86471875 |
transcript.pyannote[158].end |
365.84721875 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
366.40409375 |
transcript.pyannote[159].end |
369.17159375 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
369.50909375 |
transcript.pyannote[160].end |
370.40346875 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
370.80846875 |
transcript.pyannote[161].end |
384.69659375 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
384.69659375 |
transcript.pyannote[162].end |
384.74721875 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
384.83159375 |
transcript.pyannote[163].end |
387.64971875 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
387.85221875 |
transcript.pyannote[164].end |
389.65784375 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
390.24846875 |
transcript.pyannote[165].end |
394.65284375 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
394.83846875 |
transcript.pyannote[166].end |
395.26034375 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
395.47971875 |
transcript.pyannote[167].end |
397.70721875 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
398.06159375 |
transcript.pyannote[168].end |
400.06971875 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
400.52534375 |
transcript.pyannote[169].end |
405.36846875 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
405.92534375 |
transcript.pyannote[170].end |
412.79346875 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
413.35034375 |
transcript.pyannote[171].end |
414.71721875 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
414.88596875 |
transcript.pyannote[172].end |
415.88159375 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
416.35409375 |
transcript.pyannote[173].end |
418.80096875 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
419.17221875 |
transcript.pyannote[174].end |
420.20159375 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
420.20159375 |
transcript.pyannote[175].end |
420.21846875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
420.35346875 |
transcript.pyannote[176].end |
424.16721875 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
420.48846875 |
transcript.pyannote[177].end |
421.51784375 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
424.52159375 |
transcript.pyannote[178].end |
431.96346875 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
430.91721875 |
transcript.pyannote[179].end |
433.11096875 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
434.41034375 |
transcript.pyannote[180].end |
437.22846875 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
437.90346875 |
transcript.pyannote[181].end |
439.25346875 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
439.59096875 |
transcript.pyannote[182].end |
441.56534375 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
442.42596875 |
transcript.pyannote[183].end |
446.45909375 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
445.36221875 |
transcript.pyannote[184].end |
445.76721875 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
446.76284375 |
transcript.pyannote[185].end |
448.87221875 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
449.41221875 |
transcript.pyannote[186].end |
450.32346875 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
450.76221875 |
transcript.pyannote[187].end |
451.67346875 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
452.06159375 |
transcript.pyannote[188].end |
453.34409375 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
453.81659375 |
transcript.pyannote[189].end |
454.08659375 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
454.86284375 |
transcript.pyannote[190].end |
455.89221875 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
456.34784375 |
transcript.pyannote[191].end |
456.93846875 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
457.37721875 |
transcript.pyannote[192].end |
457.52909375 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
457.96784375 |
transcript.pyannote[193].end |
458.72721875 |
transcript.pyannote[194].speaker |
SPEAKER_00 |
transcript.pyannote[194].start |
459.73971875 |
transcript.pyannote[194].end |
461.73096875 |
transcript.pyannote[195].speaker |
SPEAKER_00 |
transcript.pyannote[195].start |
461.96721875 |
transcript.pyannote[195].end |
463.33409375 |
transcript.pyannote[196].speaker |
SPEAKER_00 |
transcript.pyannote[196].start |
463.63784375 |
transcript.pyannote[196].end |
467.19846875 |
transcript.pyannote[197].speaker |
SPEAKER_00 |
transcript.pyannote[197].start |
467.85659375 |
transcript.pyannote[197].end |
468.56534375 |
transcript.pyannote[198].speaker |
SPEAKER_00 |
transcript.pyannote[198].start |
469.22346875 |
transcript.pyannote[198].end |
471.13034375 |
transcript.pyannote[199].speaker |
SPEAKER_00 |
transcript.pyannote[199].start |
471.51846875 |
transcript.pyannote[199].end |
472.88534375 |
transcript.pyannote[200].speaker |
SPEAKER_00 |
transcript.pyannote[200].start |
473.88096875 |
transcript.pyannote[200].end |
475.29846875 |
transcript.pyannote[201].speaker |
SPEAKER_00 |
transcript.pyannote[201].start |
476.39534375 |
transcript.pyannote[201].end |
478.04909375 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
478.20096875 |
transcript.pyannote[202].end |
481.28909375 |
transcript.pyannote[203].speaker |
SPEAKER_00 |
transcript.pyannote[203].start |
482.09909375 |
transcript.pyannote[203].end |
484.42784375 |
transcript.pyannote[204].speaker |
SPEAKER_00 |
transcript.pyannote[204].start |
484.81596875 |
transcript.pyannote[204].end |
489.54096875 |
transcript.pyannote[205].speaker |
SPEAKER_00 |
transcript.pyannote[205].start |
489.86159375 |
transcript.pyannote[205].end |
491.34659375 |
transcript.pyannote[206].speaker |
SPEAKER_00 |
transcript.pyannote[206].start |
491.81909375 |
transcript.pyannote[206].end |
492.39284375 |
transcript.pyannote[207].speaker |
SPEAKER_00 |
transcript.pyannote[207].start |
493.16909375 |
transcript.pyannote[207].end |
493.60784375 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
494.11409375 |
transcript.pyannote[208].end |
495.44721875 |
transcript.pyannote[209].speaker |
SPEAKER_00 |
transcript.pyannote[209].start |
496.07159375 |
transcript.pyannote[209].end |
496.62846875 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
497.10096875 |
transcript.pyannote[210].end |
499.90221875 |
transcript.pyannote[211].speaker |
SPEAKER_00 |
transcript.pyannote[211].start |
500.49284375 |
transcript.pyannote[211].end |
503.58096875 |
transcript.pyannote[212].speaker |
SPEAKER_00 |
transcript.pyannote[212].start |
504.61034375 |
transcript.pyannote[212].end |
506.46659375 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
507.22596875 |
transcript.pyannote[213].end |
508.28909375 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
509.65596875 |
transcript.pyannote[214].end |
511.32659375 |
transcript.pyannote[215].speaker |
SPEAKER_00 |
transcript.pyannote[215].start |
511.79909375 |
transcript.pyannote[215].end |
512.47409375 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
512.87909375 |
transcript.pyannote[216].end |
513.97596875 |
transcript.pyannote[217].speaker |
SPEAKER_00 |
transcript.pyannote[217].start |
514.65096875 |
transcript.pyannote[217].end |
516.92909375 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
517.06409375 |
transcript.pyannote[218].end |
517.36784375 |
transcript.pyannote[219].speaker |
SPEAKER_00 |
transcript.pyannote[219].start |
517.70534375 |
transcript.pyannote[219].end |
517.84034375 |
transcript.pyannote[220].speaker |
SPEAKER_00 |
transcript.pyannote[220].start |
518.04284375 |
transcript.pyannote[220].end |
518.97096875 |
transcript.pyannote[221].speaker |
SPEAKER_00 |
transcript.pyannote[221].start |
519.17346875 |
transcript.pyannote[221].end |
521.48534375 |
transcript.pyannote[222].speaker |
SPEAKER_00 |
transcript.pyannote[222].start |
521.77221875 |
transcript.pyannote[222].end |
522.71721875 |
transcript.pyannote[223].speaker |
SPEAKER_00 |
transcript.pyannote[223].start |
523.29096875 |
transcript.pyannote[223].end |
524.59034375 |
transcript.pyannote[224].speaker |
SPEAKER_00 |
transcript.pyannote[224].start |
525.14721875 |
transcript.pyannote[224].end |
527.22284375 |
transcript.pyannote[225].speaker |
SPEAKER_00 |
transcript.pyannote[225].start |
527.89784375 |
transcript.pyannote[225].end |
529.29846875 |
transcript.pyannote[226].speaker |
SPEAKER_00 |
transcript.pyannote[226].start |
529.68659375 |
transcript.pyannote[226].end |
530.42909375 |
transcript.pyannote[227].speaker |
SPEAKER_00 |
transcript.pyannote[227].start |
530.98596875 |
transcript.pyannote[227].end |
533.06159375 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
533.06159375 |
transcript.pyannote[228].end |
534.52971875 |
transcript.pyannote[229].speaker |
SPEAKER_00 |
transcript.pyannote[229].start |
533.14596875 |
transcript.pyannote[229].end |
533.58471875 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
534.66471875 |
transcript.pyannote[230].end |
536.68971875 |
transcript.pyannote[231].speaker |
SPEAKER_01 |
transcript.pyannote[231].start |
537.06096875 |
transcript.pyannote[231].end |
538.93409375 |
transcript.pyannote[232].speaker |
SPEAKER_01 |
transcript.pyannote[232].start |
539.42346875 |
transcript.pyannote[232].end |
540.87471875 |
transcript.pyannote[233].speaker |
SPEAKER_01 |
transcript.pyannote[233].start |
541.38096875 |
transcript.pyannote[233].end |
542.73096875 |
transcript.pyannote[234].speaker |
SPEAKER_01 |
transcript.pyannote[234].start |
543.10221875 |
transcript.pyannote[234].end |
545.11034375 |
transcript.pyannote[235].speaker |
SPEAKER_01 |
transcript.pyannote[235].start |
545.48159375 |
transcript.pyannote[235].end |
549.07596875 |
transcript.pyannote[236].speaker |
SPEAKER_01 |
transcript.pyannote[236].start |
549.34596875 |
transcript.pyannote[236].end |
553.42971875 |
transcript.pyannote[237].speaker |
SPEAKER_00 |
transcript.pyannote[237].start |
554.17221875 |
transcript.pyannote[237].end |
558.44159375 |
transcript.pyannote[238].speaker |
SPEAKER_00 |
transcript.pyannote[238].start |
559.04909375 |
transcript.pyannote[238].end |
562.84596875 |
transcript.pyannote[239].speaker |
SPEAKER_00 |
transcript.pyannote[239].start |
563.30159375 |
transcript.pyannote[239].end |
564.31409375 |
transcript.pyannote[240].speaker |
SPEAKER_00 |
transcript.pyannote[240].start |
564.80346875 |
transcript.pyannote[240].end |
566.35596875 |
transcript.pyannote[241].speaker |
SPEAKER_00 |
transcript.pyannote[241].start |
566.55846875 |
transcript.pyannote[241].end |
568.00971875 |
transcript.pyannote[242].speaker |
SPEAKER_00 |
transcript.pyannote[242].start |
568.61721875 |
transcript.pyannote[242].end |
569.56221875 |
transcript.pyannote[243].speaker |
SPEAKER_00 |
transcript.pyannote[243].start |
570.03471875 |
transcript.pyannote[243].end |
570.25409375 |
transcript.pyannote[244].speaker |
SPEAKER_00 |
transcript.pyannote[244].start |
570.82784375 |
transcript.pyannote[244].end |
571.99221875 |
transcript.pyannote[245].speaker |
SPEAKER_00 |
transcript.pyannote[245].start |
572.71784375 |
transcript.pyannote[245].end |
576.51471875 |
transcript.pyannote[246].speaker |
SPEAKER_00 |
transcript.pyannote[246].start |
576.68346875 |
transcript.pyannote[246].end |
578.10096875 |
transcript.pyannote[247].speaker |
SPEAKER_00 |
transcript.pyannote[247].start |
578.79284375 |
transcript.pyannote[247].end |
581.69534375 |
transcript.pyannote[248].speaker |
SPEAKER_00 |
transcript.pyannote[248].start |
581.93159375 |
transcript.pyannote[248].end |
583.55159375 |
transcript.pyannote[249].speaker |
SPEAKER_00 |
transcript.pyannote[249].start |
584.05784375 |
transcript.pyannote[249].end |
586.75784375 |
transcript.pyannote[250].speaker |
SPEAKER_00 |
transcript.pyannote[250].start |
587.12909375 |
transcript.pyannote[250].end |
588.47909375 |
transcript.pyannote[251].speaker |
SPEAKER_00 |
transcript.pyannote[251].start |
589.49159375 |
transcript.pyannote[251].end |
591.39846875 |
transcript.pyannote[252].speaker |
SPEAKER_00 |
transcript.pyannote[252].start |
591.63471875 |
transcript.pyannote[252].end |
592.95096875 |
transcript.pyannote[253].speaker |
SPEAKER_00 |
transcript.pyannote[253].start |
593.82846875 |
transcript.pyannote[253].end |
594.73971875 |
transcript.pyannote[254].speaker |
SPEAKER_00 |
transcript.pyannote[254].start |
595.09409375 |
transcript.pyannote[254].end |
604.13909375 |
transcript.pyannote[255].speaker |
SPEAKER_00 |
transcript.pyannote[255].start |
604.74659375 |
transcript.pyannote[255].end |
607.36221875 |
transcript.pyannote[256].speaker |
SPEAKER_00 |
transcript.pyannote[256].start |
607.71659375 |
transcript.pyannote[256].end |
609.06659375 |
transcript.pyannote[257].speaker |
SPEAKER_00 |
transcript.pyannote[257].start |
610.90596875 |
transcript.pyannote[257].end |
612.15471875 |
transcript.pyannote[258].speaker |
SPEAKER_00 |
transcript.pyannote[258].start |
612.34034375 |
transcript.pyannote[258].end |
618.02721875 |
transcript.pyannote[259].speaker |
SPEAKER_00 |
transcript.pyannote[259].start |
618.39846875 |
transcript.pyannote[259].end |
618.68534375 |
transcript.pyannote[260].speaker |
SPEAKER_00 |
transcript.pyannote[260].start |
619.52909375 |
transcript.pyannote[260].end |
621.65534375 |
transcript.pyannote[261].speaker |
SPEAKER_00 |
transcript.pyannote[261].start |
622.36409375 |
transcript.pyannote[261].end |
623.41034375 |
transcript.pyannote[262].speaker |
SPEAKER_00 |
transcript.pyannote[262].start |
624.03471875 |
transcript.pyannote[262].end |
630.14346875 |
transcript.pyannote[263].speaker |
SPEAKER_00 |
transcript.pyannote[263].start |
631.10534375 |
transcript.pyannote[263].end |
632.42159375 |
transcript.pyannote[264].speaker |
SPEAKER_00 |
transcript.pyannote[264].start |
632.79284375 |
transcript.pyannote[264].end |
634.04159375 |
transcript.pyannote[265].speaker |
SPEAKER_00 |
transcript.pyannote[265].start |
634.71659375 |
transcript.pyannote[265].end |
637.16346875 |
transcript.pyannote[266].speaker |
SPEAKER_00 |
transcript.pyannote[266].start |
637.21409375 |
transcript.pyannote[266].end |
638.47971875 |
transcript.pyannote[267].speaker |
SPEAKER_00 |
transcript.pyannote[267].start |
639.08721875 |
transcript.pyannote[267].end |
642.29346875 |
transcript.pyannote[268].speaker |
SPEAKER_00 |
transcript.pyannote[268].start |
642.88409375 |
transcript.pyannote[268].end |
645.63471875 |
transcript.pyannote[269].speaker |
SPEAKER_00 |
transcript.pyannote[269].start |
646.24221875 |
transcript.pyannote[269].end |
648.82409375 |
transcript.pyannote[270].speaker |
SPEAKER_00 |
transcript.pyannote[270].start |
649.31346875 |
transcript.pyannote[270].end |
651.38909375 |
transcript.pyannote[271].speaker |
SPEAKER_00 |
transcript.pyannote[271].start |
652.60409375 |
transcript.pyannote[271].end |
653.86971875 |
transcript.pyannote[272].speaker |
SPEAKER_00 |
transcript.pyannote[272].start |
654.84846875 |
transcript.pyannote[272].end |
657.05909375 |
transcript.pyannote[273].speaker |
SPEAKER_00 |
transcript.pyannote[273].start |
658.05471875 |
transcript.pyannote[273].end |
660.70409375 |
transcript.pyannote[274].speaker |
SPEAKER_00 |
transcript.pyannote[274].start |
661.31159375 |
transcript.pyannote[274].end |
664.18034375 |
transcript.pyannote[275].speaker |
SPEAKER_00 |
transcript.pyannote[275].start |
664.41659375 |
transcript.pyannote[275].end |
665.88471875 |
transcript.pyannote[276].speaker |
SPEAKER_00 |
transcript.pyannote[276].start |
666.62721875 |
transcript.pyannote[276].end |
667.63971875 |
transcript.pyannote[277].speaker |
SPEAKER_00 |
transcript.pyannote[277].start |
667.80846875 |
transcript.pyannote[277].end |
668.87159375 |
transcript.pyannote[278].speaker |
SPEAKER_00 |
transcript.pyannote[278].start |
670.23846875 |
transcript.pyannote[278].end |
671.21721875 |
transcript.pyannote[279].speaker |
SPEAKER_00 |
transcript.pyannote[279].start |
672.43221875 |
transcript.pyannote[279].end |
674.84534375 |
transcript.pyannote[280].speaker |
SPEAKER_00 |
transcript.pyannote[280].start |
675.79034375 |
transcript.pyannote[280].end |
677.46096875 |
transcript.pyannote[281].speaker |
SPEAKER_00 |
transcript.pyannote[281].start |
677.91659375 |
transcript.pyannote[281].end |
680.22846875 |
transcript.pyannote[282].speaker |
SPEAKER_00 |
transcript.pyannote[282].start |
681.39284375 |
transcript.pyannote[282].end |
682.33784375 |
transcript.pyannote[283].speaker |
SPEAKER_00 |
transcript.pyannote[283].start |
683.02971875 |
transcript.pyannote[283].end |
684.71721875 |
transcript.pyannote[284].speaker |
SPEAKER_00 |
transcript.pyannote[284].start |
686.10096875 |
transcript.pyannote[284].end |
686.67471875 |
transcript.pyannote[285].speaker |
SPEAKER_00 |
transcript.pyannote[285].start |
687.26534375 |
transcript.pyannote[285].end |
688.37909375 |
transcript.pyannote[286].speaker |
SPEAKER_00 |
transcript.pyannote[286].start |
688.86846875 |
transcript.pyannote[286].end |
690.60659375 |
transcript.pyannote[287].speaker |
SPEAKER_00 |
transcript.pyannote[287].start |
691.46721875 |
transcript.pyannote[287].end |
693.79596875 |
transcript.pyannote[288].speaker |
SPEAKER_00 |
transcript.pyannote[288].start |
694.38659375 |
transcript.pyannote[288].end |
695.19659375 |
transcript.pyannote[289].speaker |
SPEAKER_00 |
transcript.pyannote[289].start |
695.39909375 |
transcript.pyannote[289].end |
697.42409375 |
transcript.pyannote[290].speaker |
SPEAKER_00 |
transcript.pyannote[290].start |
698.82471875 |
transcript.pyannote[290].end |
701.72721875 |
transcript.pyannote[291].speaker |
SPEAKER_00 |
transcript.pyannote[291].start |
702.06471875 |
transcript.pyannote[291].end |
703.34721875 |
transcript.pyannote[292].speaker |
SPEAKER_00 |
transcript.pyannote[292].start |
703.51596875 |
transcript.pyannote[292].end |
704.96721875 |
transcript.pyannote[293].speaker |
SPEAKER_00 |
transcript.pyannote[293].start |
705.50721875 |
transcript.pyannote[293].end |
706.30034375 |
transcript.pyannote[294].speaker |
SPEAKER_00 |
transcript.pyannote[294].start |
706.89096875 |
transcript.pyannote[294].end |
707.56596875 |
transcript.pyannote[295].speaker |
SPEAKER_00 |
transcript.pyannote[295].start |
709.33784375 |
transcript.pyannote[295].end |
710.90721875 |
transcript.pyannote[296].speaker |
SPEAKER_00 |
transcript.pyannote[296].start |
712.00409375 |
transcript.pyannote[296].end |
713.82659375 |
transcript.pyannote[297].speaker |
SPEAKER_00 |
transcript.pyannote[297].start |
714.51846875 |
transcript.pyannote[297].end |
715.59846875 |
transcript.pyannote[298].speaker |
SPEAKER_00 |
transcript.pyannote[298].start |
716.71221875 |
transcript.pyannote[298].end |
718.38284375 |
transcript.pyannote[299].speaker |
SPEAKER_00 |
transcript.pyannote[299].start |
718.46721875 |
transcript.pyannote[299].end |
720.64409375 |
transcript.pyannote[300].speaker |
SPEAKER_00 |
transcript.pyannote[300].start |
721.23471875 |
transcript.pyannote[300].end |
724.69409375 |
transcript.pyannote[301].speaker |
SPEAKER_00 |
transcript.pyannote[301].start |
725.41971875 |
transcript.pyannote[301].end |
728.54159375 |
transcript.pyannote[302].speaker |
SPEAKER_00 |
transcript.pyannote[302].start |
728.87909375 |
transcript.pyannote[302].end |
730.11096875 |
transcript.pyannote[303].speaker |
SPEAKER_00 |
transcript.pyannote[303].start |
731.27534375 |
transcript.pyannote[303].end |
733.04721875 |
transcript.pyannote[304].speaker |
SPEAKER_00 |
transcript.pyannote[304].start |
734.05971875 |
transcript.pyannote[304].end |
737.04659375 |
transcript.pyannote[305].speaker |
SPEAKER_00 |
transcript.pyannote[305].start |
737.56971875 |
transcript.pyannote[305].end |
742.53096875 |
transcript.pyannote[306].speaker |
SPEAKER_00 |
transcript.pyannote[306].start |
743.03721875 |
transcript.pyannote[306].end |
743.56034375 |
transcript.pyannote[307].speaker |
SPEAKER_00 |
transcript.pyannote[307].start |
743.96534375 |
transcript.pyannote[307].end |
744.67409375 |
transcript.pyannote[308].speaker |
SPEAKER_00 |
transcript.pyannote[308].start |
744.92721875 |
transcript.pyannote[308].end |
747.08721875 |
transcript.pyannote[309].speaker |
SPEAKER_00 |
transcript.pyannote[309].start |
747.20534375 |
transcript.pyannote[309].end |
748.62284375 |
transcript.pyannote[310].speaker |
SPEAKER_00 |
transcript.pyannote[310].start |
749.93909375 |
transcript.pyannote[310].end |
751.60971875 |
transcript.pyannote[311].speaker |
SPEAKER_00 |
transcript.pyannote[311].start |
751.89659375 |
transcript.pyannote[311].end |
753.38159375 |
transcript.pyannote[312].speaker |
SPEAKER_00 |
transcript.pyannote[312].start |
753.61784375 |
transcript.pyannote[312].end |
755.25471875 |
transcript.pyannote[313].speaker |
SPEAKER_00 |
transcript.pyannote[313].start |
756.38534375 |
transcript.pyannote[313].end |
757.04346875 |
transcript.pyannote[314].speaker |
SPEAKER_01 |
transcript.pyannote[314].start |
758.17409375 |
transcript.pyannote[314].end |
762.91596875 |
transcript.pyannote[315].speaker |
SPEAKER_01 |
transcript.pyannote[315].start |
763.27034375 |
transcript.pyannote[315].end |
783.19971875 |
transcript.pyannote[316].speaker |
SPEAKER_00 |
transcript.pyannote[316].start |
766.57784375 |
transcript.pyannote[316].end |
767.69159375 |
transcript.pyannote[317].speaker |
SPEAKER_00 |
transcript.pyannote[317].start |
773.68221875 |
transcript.pyannote[317].end |
775.09971875 |
transcript.pyannote[318].speaker |
SPEAKER_00 |
transcript.pyannote[318].start |
779.23409375 |
transcript.pyannote[318].end |
779.79096875 |
transcript.pyannote[319].speaker |
SPEAKER_00 |
transcript.pyannote[319].start |
780.51659375 |
transcript.pyannote[319].end |
781.27596875 |
transcript.pyannote[320].speaker |
SPEAKER_00 |
transcript.pyannote[320].start |
781.59659375 |
transcript.pyannote[320].end |
785.19096875 |
transcript.pyannote[321].speaker |
SPEAKER_00 |
transcript.pyannote[321].start |
785.73096875 |
transcript.pyannote[321].end |
788.38034375 |
transcript.pyannote[322].speaker |
SPEAKER_00 |
transcript.pyannote[322].start |
788.78534375 |
transcript.pyannote[322].end |
793.02096875 |
transcript.pyannote[323].speaker |
SPEAKER_00 |
transcript.pyannote[323].start |
793.22346875 |
transcript.pyannote[323].end |
794.48909375 |
transcript.pyannote[324].speaker |
SPEAKER_00 |
transcript.pyannote[324].start |
794.99534375 |
transcript.pyannote[324].end |
795.13034375 |
transcript.pyannote[325].speaker |
SPEAKER_00 |
transcript.pyannote[325].start |
795.58596875 |
transcript.pyannote[325].end |
798.20159375 |
transcript.pyannote[326].speaker |
SPEAKER_00 |
transcript.pyannote[326].start |
798.80909375 |
transcript.pyannote[326].end |
799.90596875 |
transcript.pyannote[327].speaker |
SPEAKER_00 |
transcript.pyannote[327].start |
800.44596875 |
transcript.pyannote[327].end |
800.68221875 |
transcript.pyannote[328].speaker |
SPEAKER_00 |
transcript.pyannote[328].start |
801.03659375 |
transcript.pyannote[328].end |
802.43721875 |
transcript.pyannote[329].speaker |
SPEAKER_00 |
transcript.pyannote[329].start |
802.63971875 |
transcript.pyannote[329].end |
803.88846875 |
transcript.pyannote[330].speaker |
SPEAKER_00 |
transcript.pyannote[330].start |
805.42409375 |
transcript.pyannote[330].end |
806.52096875 |
transcript.pyannote[331].speaker |
SPEAKER_00 |
transcript.pyannote[331].start |
806.99346875 |
transcript.pyannote[331].end |
807.39846875 |
transcript.pyannote[332].speaker |
SPEAKER_00 |
transcript.pyannote[332].start |
808.10721875 |
transcript.pyannote[332].end |
810.55409375 |
transcript.pyannote[333].speaker |
SPEAKER_00 |
transcript.pyannote[333].start |
810.92534375 |
transcript.pyannote[333].end |
812.03909375 |
transcript.pyannote[334].speaker |
SPEAKER_00 |
transcript.pyannote[334].start |
812.24159375 |
transcript.pyannote[334].end |
815.09346875 |
transcript.pyannote[335].speaker |
SPEAKER_00 |
transcript.pyannote[335].start |
815.65034375 |
transcript.pyannote[335].end |
818.06346875 |
transcript.pyannote[336].speaker |
SPEAKER_00 |
transcript.pyannote[336].start |
818.62034375 |
transcript.pyannote[336].end |
824.10471875 |
transcript.pyannote[337].speaker |
SPEAKER_00 |
transcript.pyannote[337].start |
824.18909375 |
transcript.pyannote[337].end |
825.42096875 |
transcript.pyannote[338].speaker |
SPEAKER_00 |
transcript.pyannote[338].start |
825.82596875 |
transcript.pyannote[338].end |
826.87221875 |
transcript.pyannote[339].speaker |
SPEAKER_00 |
transcript.pyannote[339].start |
827.20971875 |
transcript.pyannote[339].end |
829.15034375 |
transcript.pyannote[340].speaker |
SPEAKER_00 |
transcript.pyannote[340].start |
829.79159375 |
transcript.pyannote[340].end |
839.93346875 |
transcript.pyannote[341].speaker |
SPEAKER_00 |
transcript.pyannote[341].start |
840.27096875 |
transcript.pyannote[341].end |
842.21159375 |
transcript.pyannote[342].speaker |
SPEAKER_00 |
transcript.pyannote[342].start |
842.46471875 |
transcript.pyannote[342].end |
845.97471875 |
transcript.pyannote[343].speaker |
SPEAKER_01 |
transcript.pyannote[343].start |
845.97471875 |
transcript.pyannote[343].end |
846.02534375 |
transcript.pyannote[344].speaker |
SPEAKER_01 |
transcript.pyannote[344].start |
846.22784375 |
transcript.pyannote[344].end |
852.70784375 |
transcript.pyannote[345].speaker |
SPEAKER_01 |
transcript.pyannote[345].start |
852.97784375 |
transcript.pyannote[345].end |
858.44534375 |
transcript.pyannote[346].speaker |
SPEAKER_01 |
transcript.pyannote[346].start |
858.56346875 |
transcript.pyannote[346].end |
861.06096875 |
transcript.pyannote[347].speaker |
SPEAKER_01 |
transcript.pyannote[347].start |
861.24659375 |
transcript.pyannote[347].end |
864.82409375 |
transcript.pyannote[348].speaker |
SPEAKER_00 |
transcript.pyannote[348].start |
864.09846875 |
transcript.pyannote[348].end |
864.58784375 |
transcript.pyannote[349].speaker |
SPEAKER_01 |
transcript.pyannote[349].start |
865.36409375 |
transcript.pyannote[349].end |
865.85346875 |
transcript.pyannote[350].speaker |
SPEAKER_00 |
transcript.pyannote[350].start |
865.85346875 |
transcript.pyannote[350].end |
868.18221875 |
transcript.pyannote[351].speaker |
SPEAKER_01 |
transcript.pyannote[351].start |
865.88721875 |
transcript.pyannote[351].end |
867.52409375 |
transcript.pyannote[352].speaker |
SPEAKER_00 |
transcript.pyannote[352].start |
868.53659375 |
transcript.pyannote[352].end |
870.20721875 |
transcript.pyannote[353].speaker |
SPEAKER_00 |
transcript.pyannote[353].start |
870.29159375 |
transcript.pyannote[353].end |
879.57284375 |
transcript.pyannote[354].speaker |
SPEAKER_00 |
transcript.pyannote[354].start |
880.14659375 |
transcript.pyannote[354].end |
880.88909375 |
transcript.pyannote[355].speaker |
SPEAKER_00 |
transcript.pyannote[355].start |
882.05346875 |
transcript.pyannote[355].end |
886.18784375 |
transcript.pyannote[356].speaker |
SPEAKER_00 |
transcript.pyannote[356].start |
887.30159375 |
transcript.pyannote[356].end |
891.46971875 |
transcript.pyannote[357].speaker |
SPEAKER_00 |
transcript.pyannote[357].start |
892.43159375 |
transcript.pyannote[357].end |
894.50721875 |
transcript.pyannote[358].speaker |
SPEAKER_00 |
transcript.pyannote[358].start |
895.16534375 |
transcript.pyannote[358].end |
901.78034375 |
transcript.pyannote[359].speaker |
SPEAKER_00 |
transcript.pyannote[359].start |
902.25284375 |
transcript.pyannote[359].end |
903.94034375 |
transcript.pyannote[360].speaker |
SPEAKER_00 |
transcript.pyannote[360].start |
904.24409375 |
transcript.pyannote[360].end |
906.92721875 |
transcript.pyannote[361].speaker |
SPEAKER_00 |
transcript.pyannote[361].start |
907.31534375 |
transcript.pyannote[361].end |
909.08721875 |
transcript.pyannote[362].speaker |
SPEAKER_01 |
transcript.pyannote[362].start |
909.34034375 |
transcript.pyannote[362].end |
909.47534375 |
transcript.pyannote[363].speaker |
SPEAKER_00 |
transcript.pyannote[363].start |
909.47534375 |
transcript.pyannote[363].end |
910.77471875 |
transcript.pyannote[364].speaker |
SPEAKER_01 |
transcript.pyannote[364].start |
909.49221875 |
transcript.pyannote[364].end |
909.86346875 |
transcript.pyannote[365].speaker |
SPEAKER_00 |
transcript.pyannote[365].start |
911.14596875 |
transcript.pyannote[365].end |
912.90096875 |
transcript.pyannote[366].speaker |
SPEAKER_00 |
transcript.pyannote[366].start |
913.25534375 |
transcript.pyannote[366].end |
913.98096875 |
transcript.pyannote[367].speaker |
SPEAKER_00 |
transcript.pyannote[367].start |
914.45346875 |
transcript.pyannote[367].end |
915.04409375 |
transcript.pyannote[368].speaker |
SPEAKER_00 |
transcript.pyannote[368].start |
915.34784375 |
transcript.pyannote[368].end |
918.03096875 |
transcript.pyannote[369].speaker |
SPEAKER_00 |
transcript.pyannote[369].start |
918.55409375 |
transcript.pyannote[369].end |
922.85721875 |
transcript.pyannote[370].speaker |
SPEAKER_00 |
transcript.pyannote[370].start |
923.39721875 |
transcript.pyannote[370].end |
932.40846875 |
transcript.whisperx[0].start |
14.484 |
transcript.whisperx[0].end |
43.437 |
transcript.whisperx[0].text |
主席請院長麻煩再請卓院長備詢副委員好卓院長辛苦了不會 大家都一樣辛苦今年是2025年是在上一次美國政府所提出的關稅大壁壘 |
transcript.whisperx[1].start |
45.086 |
transcript.whisperx[1].end |
68.215 |
transcript.whisperx[1].text |
是在1930年95年前當時發生的情況我們都沒有看見因為95年後美國再一次用這種雷霆的手段來平衡貿易的逆差但前一次1930年造成全世界經濟的一個 |
transcript.whisperx[2].start |
71.755 |
transcript.whisperx[2].end |
98.073 |
transcript.whisperx[2].text |
撞擊而且美國啊從此展開了為期啊多年的經濟的大蕭條造成全世界啊這個經濟的整體的崩潰失業率的大幅提升各行各業全世界都受難在95年後我們再一次碰到美國再次引爆啊關稅壁壘的核彈這段時間 |
transcript.whisperx[3].start |
101.854 |
transcript.whisperx[3].end |
130.944 |
transcript.whisperx[3].text |
我們必須很務實的來面對是的我們大家一定要團結一心共赴國難不分朝夷大家同心協力院長我們是不是要一起同心協力當然是也希望大院能夠支持讓行政院的方案能夠一起來推動不過本席在這裡要請院長因為今天的院長的專案報告 |
transcript.whisperx[4].start |
132.746 |
transcript.whisperx[4].end |
158.513 |
transcript.whisperx[4].text |
從星期一我們的座談當中院長就表達希望今天到立法院來做專案報告讓全國國人能夠了解我們也欣然的接受也歡迎但是這份報告我們確實這個我不曉得說我們現在整體立法院跟行政院這個報告是要等院長您報告完之後我們才有電子檔 |
transcript.whisperx[5].start |
160.174 |
transcript.whisperx[5].end |
188.322 |
transcript.whisperx[5].text |
所以是不是因為接著下來不只是這一次的振興跟紓困台灣的經濟未來可能還有第二期第三期甚至接下來這個紓困的條例也要送到立法院來審議我們希望院長下一次院長到立法院做報告的時候能夠早一兩天給我們報告的資料因為大家是在合作 |
transcript.whisperx[6].start |
189.335 |
transcript.whisperx[6].end |
197.051 |
transcript.whisperx[6].text |
集思廣益我們馬上第一棒代表國民黨要來詢答但是這個資料我剛剛才看到 |
transcript.whisperx[7].start |
198.567 |
transcript.whisperx[7].end |
227.219 |
transcript.whisperx[7].text |
所以我們希望這個資料能夠盡早給我們兩句話書面報告我們有提前送來那口頭的報告早上還在改因為他的行政命令半夜才宣布我們早上還在改沒有關係沒有關係院長我們共勉之了好不好大家記得要同心把這個事情完成我們配合美方的行政措施早上還在宣布半夜宣布我們早上還在修改這個向大院來致歉但書面報告已經有提前送達這個依照經濟部4月4號今年4月4號送到 |
transcript.whisperx[8].start |
229.074 |
transcript.whisperx[8].end |
248.684 |
transcript.whisperx[8].text |
這個立法院來的報告裡面我們對美國的粗糙在去年是649億美金光這個數字我們現在都還在確認因為經濟部在本月4號給我們的資料是649億美金那我們加徵的關稅是32%的關稅賴總統 |
transcript.whisperx[9].start |
254.656 |
transcript.whisperx[9].end |
281.777 |
transcript.whisperx[9].text |
也對投書美國的彭博社提出了四個對策包括台美零關稅增加軍購還有採購對美投資還有承諾取消所有非關稅貿易的障礙我想基本賴總統宣布的這四項主要政策我們是尊重但是所有的風險 |
transcript.whisperx[10].start |
283.117 |
transcript.whisperx[10].end |
307.432 |
transcript.whisperx[10].text |
我們要一併的考量台美零關稅 我們先從零關稅說起如果台美零關稅 其實台灣的農林漁牧是相當的無辜畢竟在去年我們對美的輸出是8.6億美金美國對台灣的輸入是37億美金整體我們兩國的貿易是逆差 |
transcript.whisperx[11].start |
312.54 |
transcript.whisperx[11].end |
339.315 |
transcript.whisperx[11].text |
在逆超的情況之下卻是要承擔未來可能零關稅這樣的一個撞擊所以本期在這裡要特別提醒 院長尤其我們的談判代表團到美國的時候對於農林榆木的部分本身我們是入超在這個部分是不是用其他的方式來協調盡量不要損及 |
transcript.whisperx[12].start |
341.752 |
transcript.whisperx[12].end |
357.805 |
transcript.whisperx[12].text |
我們農民 漁民相關的權益可以嗎好 三句話跟委員報告第一個 農漁優先這個是政府一向的策略我們是終止不會改變第二點 我們對美國對美國的輸出輸入在農業方面我們是逆差的 |
transcript.whisperx[13].start |
358.612 |
transcript.whisperx[13].end |
387.321 |
transcript.whisperx[13].text |
我們希望在這一點能夠得到談判當中的諒解那至於從零關稅談起這是一個談判的態度中間涉及到很多的策略跟相關的互相的條件那麼農業部也針對農漁的將來可能受到的損害有做到相當多的風險的研判跟設算那我們會站在這個立場上面跟委員所說的一樣保障我國的農漁民的權利所以說現在國內有很多的 |
transcript.whisperx[14].start |
388.201 |
transcript.whisperx[14].end |
412.421 |
transcript.whisperx[14].text |
這個疑慮已經產生了所以本席在今天也是讓院長有一個說明的機會了解因為這個零關稅端出來的時候有很多的產業開始恐慌我希望院長這個部分能夠跟我們的農林榆木的我們這些基層的這些農民 漁民能夠讓他們能夠多所了解政府還是站在他們的立場 |
transcript.whisperx[15].start |
413.442 |
transcript.whisperx[15].end |
433.118 |
transcript.whisperx[15].text |
而且這是對台 我們是入超所以特別要保護我們的農漁民這些繼承的我昨天跟加工區的業者今天總統跟工具區的業者後天我就會見到農漁民的代表我們會談他業者對本身業界實際上的感受這本席在這裡也是希望這次政府所提出來的880億 |
transcript.whisperx[16].start |
437.95 |
transcript.whisperx[16].end |
466.997 |
transcript.whisperx[16].text |
的振興跟紓困的我們整體經濟的這些預算對農運民的部分大概有180億左右180億這180億是否足夠還要做一個更深刻的更深刻的這個座談了解這個部分國民黨可以很清楚的強調我們全力的支持謝謝好不好不能讓我們的基層農運民受到任何的傷害 |
transcript.whisperx[17].start |
468.275 |
transcript.whisperx[17].end |
495.246 |
transcript.whisperx[17].text |
畢竟台灣的糧食我們的自給率只有30%其實要仰仗進口如果我們這30%都沒有辦法自給率確保的話對我們農民營毀滅性的傷害這個是我們承擔不起的台灣不能農食自給農農糧的自給率我們不能嚴重的不足那請院長這個部分 |
transcript.whisperx[18].start |
502.014 |
transcript.whisperx[18].end |
516.687 |
transcript.whisperx[18].text |
對於國人的健康我們不能退讓有健康餘力的產品、食品要進入台灣我們還是要保障我們孩子的健康 |
transcript.whisperx[19].start |
518.434 |
transcript.whisperx[19].end |
542.126 |
transcript.whisperx[19].text |
這個部分我們可以希望用其他的部分來做替代但是千萬不要讓我們的孩子成長的過程中讓有一粒的食品來妨礙到我們孩子的健康好不好可以嗎國人健康當然不能打折但是台灣身為國際社會的一員只要符合國際的標準有科學的認證我們在經過國內嚴謹的程序 |
transcript.whisperx[20].start |
545.509 |
transcript.whisperx[20].end |
569.265 |
transcript.whisperx[20].text |
我覺得這個是我們在談判過程當中必須表達出來的態度那結論就是我們不會以傷害國人健康來換取不應該有的條件我們先來對美蘇蘇的農產品包括蝴蝶蘭 茶葉 毛豆冷凍魚 鮭魚 鬼頭刀 鱸魚還有其他的相當的產品再請這個院長這部分能夠多所體恤另外就是 |
transcript.whisperx[21].start |
570.885 |
transcript.whisperx[21].end |
588.301 |
transcript.whisperx[21].text |
我希望有一個談判的方式能夠給行政院因為我們大家其實是廣義為台灣好我們所有談判的我們的基礎我們自己要能夠掌握住所以在這裡要特別跟院長來分享我們看一下台積電對美銷售的狀況 |
transcript.whisperx[22].start |
593.885 |
transcript.whisperx[22].end |
616.456 |
transcript.whisperx[22].text |
他一年大概是兩兆八千九百四十三億台幣的產值對美的輸出六十八點八二大概是六百零七億美金這是台積電六百零七億美金輸往美國再看一下聯電北京今天只談這兩個其實還有很多周邊對美輸出的IT產業半導體產業 |
transcript.whisperx[23].start |
619.628 |
transcript.whisperx[23].end |
629.172 |
transcript.whisperx[23].text |
是17.6億美金輸往美國院長這個數字非常重要所以這兩個部分光台積電跟聯電 |
transcript.whisperx[24].start |
631.155 |
transcript.whisperx[24].end |
656.037 |
transcript.whisperx[24].text |
我們對美的輸出就是624.6億美金而這個部分是在IT agreement裡面是基本上在4月4號以前是零關稅的所以我們對美的出鈔649億美金大多部分是我們零關稅的產業過去的 |
transcript.whisperx[25].start |
658.143 |
transcript.whisperx[25].end |
684.815 |
transcript.whisperx[25].text |
是事實上除扣掉這些以外其實台灣的其他產業這些傳產的部分對美國並不是出潮而是入潮但是這個部分我們明明是入潮但是對美輸出卻莫名的加上32%的累加的關稅這對台灣是非常非常不公平的 |
transcript.whisperx[26].start |
686.138 |
transcript.whisperx[26].end |
713.63 |
transcript.whisperx[26].text |
所以院長本席特別提醒我們對美其實扣掉IT產業半導體產業周邊產業我們對美其實是入朝的所以莫名的冠上這32%的關稅我們要據理力爭尤其台積電尤其台積電對美現在川普總統說要對美投資2000億美金這2000億美金 |
transcript.whisperx[27].start |
716.735 |
transcript.whisperx[27].end |
729.81 |
transcript.whisperx[27].text |
我們既然已經要投資美國兩千億美金的台積電還有包括聯電未來可能都會成為美聯電台積電成為美積電不會啦在這種情況之下院長我們很務實的講應該告訴美國政府 |
transcript.whisperx[28].start |
734.267 |
transcript.whisperx[28].end |
756.724 |
transcript.whisperx[28].text |
這些都是對美大宗投資甚至把Intel他們有問題的公司都有台積電蓋過來承受所以其實台灣其他的這些傳產對美國是入潮的不應該灌上32%的要把真實的數字把它確實理清好不好 院長 |
transcript.whisperx[29].start |
758.406 |
transcript.whisperx[29].end |
781.144 |
transcript.whisperx[29].text |
台灣在美國的這個輸入的輸到美國的產品工業產品加起來1114億啦其中有差不多百分之六十五左右就集中在自通訊跟電子產業上面那這個有700多億當中這個現在還有一些是在豁免的美國還會有下一步的這個政策所以過去造成的649億的 |
transcript.whisperx[30].start |
785.868 |
transcript.whisperx[30].end |
803.395 |
transcript.whisperx[30].text |
初超其實這是一個虛幻的數字並不是真實因為那個部分本身雙方都是零關稅所以我們很務實的看台灣的傳產基本上是入超的所以這個部分要拜託也請院長 |
transcript.whisperx[31].start |
805.758 |
transcript.whisperx[31].end |
828.492 |
transcript.whisperx[31].text |
鄭麗君副院長他有溝通的長才跟協調本席了解董秘辛秘書長有他的專業我們都了解也都認同但是如果過去我們APEC領袖會議所敦請的張忠謀先生他又代表台積電為了要投資美國兩千億的這樣的台積電他如果能夠代表我國過去 |
transcript.whisperx[32].start |
829.993 |
transcript.whisperx[32].end |
852.099 |
transcript.whisperx[32].text |
來跟美國來做談判的話我相信對台灣人的權益的爭取有相當大的幫助我們希望廣開我們廣開 散門只要對台灣有利的部分我們盡可能的邀請他們加入談判的夥伴可以嗎謝謝委員的建議我們最近展開產業之旅也跟個別的業者有一些溝通跟座談的機會 |
transcript.whisperx[33].start |
853.019 |
transcript.whisperx[33].end |
880.564 |
transcript.whisperx[33].text |
我可以跟委員報告所有的業者對於耕留台灣以及台灣加一這樣的想法都非常的一致會把台灣成為繼續的高科技領先關鍵地位那談判的過程我們會請教他們的意見因為大家都愛台灣我們在這裡生活大家都習慣在台灣也愛台灣當然都願意耕留台灣但是要讓耕留台灣的產業能夠繼續活下去包括 |
transcript.whisperx[34].start |
882.133 |
transcript.whisperx[34].end |
891.079 |
transcript.whisperx[34].text |
整個當製造業 整個產業受到撞擊的時候我們的各行各業 服務業 觀光業全部會受到重創 |
transcript.whisperx[35].start |
892.749 |
transcript.whisperx[35].end |
912.654 |
transcript.whisperx[35].text |
這就是整個骨牌效應大家面對嚴重的不景氣從1930年美國的大蕭條我們看到前車之鑒所以希望這次的談判全國國人都希望我們談判是成功的能夠保護到我們的傳產能夠繼續的生存所以院長我們要拜託大家 |
transcript.whisperx[36].start |
913.594 |
transcript.whisperx[36].end |
932.17 |
transcript.whisperx[36].text |
對於行政院所提出對美另外投資國家政府基金再投資兩千億美金六兆六千億台幣我們希望能夠顧及到台灣本體產業還是要足夠的力量能夠來支持確保我們自己的銀彈是充足的好不好 |