IVOD_ID |
160938 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160938 |
日期 |
2025-05-02 |
會議資料.會議代碼 |
院會-11-3-10 |
會議資料.會議代碼:str |
第11屆第3會期第10次會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
10 |
會議資料.種類 |
院會 |
會議資料.標題 |
第11屆第3會期第10次會議 |
影片種類 |
Clip |
開始時間 |
2025-05-02T15:37:24+08:00 |
結束時間 |
2025-05-02T15:53:06+08:00 |
影片長度 |
00:15:42 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/a4532f731e18a3f6263d9047752fe33fd65e820d1de88fa5fccb33935b9f5bfc747f46cb97eb1dba5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
羅明才 |
委員發言時間 |
15:37:24 - 15:53:06 |
會議時間 |
2025-05-02T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第10次會議(事由:一、對行政院院長提出施政方針及施政報告繼續質詢。二、5月2日上午9時至10時為國是論壇時間。三、5月6日下午2時15分至2時30分為處理臨時提案時間。) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
6.69659375 |
transcript.pyannote[0].end |
7.23659375 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
7.82721875 |
transcript.pyannote[1].end |
11.62409375 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
12.14721875 |
transcript.pyannote[2].end |
14.00346875 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
14.47596875 |
transcript.pyannote[3].end |
15.94409375 |
transcript.pyannote[4].speaker |
SPEAKER_02 |
transcript.pyannote[4].start |
25.51221875 |
transcript.pyannote[4].end |
26.45721875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
25.76534375 |
transcript.pyannote[5].end |
26.25471875 |
transcript.pyannote[6].speaker |
SPEAKER_02 |
transcript.pyannote[6].start |
27.13221875 |
transcript.pyannote[6].end |
29.32596875 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
30.43971875 |
transcript.pyannote[7].end |
31.77284375 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
32.38034375 |
transcript.pyannote[8].end |
33.46034375 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
34.03409375 |
transcript.pyannote[9].end |
34.82721875 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
35.48534375 |
transcript.pyannote[10].end |
36.32909375 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
36.93659375 |
transcript.pyannote[11].end |
37.40909375 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
38.33721875 |
transcript.pyannote[12].end |
39.26534375 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
39.46784375 |
transcript.pyannote[13].end |
46.23471875 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
47.07846875 |
transcript.pyannote[14].end |
48.85034375 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
49.22159375 |
transcript.pyannote[15].end |
50.47034375 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
51.04409375 |
transcript.pyannote[16].end |
52.68096875 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
52.88346875 |
transcript.pyannote[17].end |
54.18284375 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
57.74346875 |
transcript.pyannote[18].end |
58.19909375 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
59.58284375 |
transcript.pyannote[19].end |
60.89909375 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
61.60784375 |
transcript.pyannote[20].end |
63.24471875 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
63.73409375 |
transcript.pyannote[21].end |
65.92784375 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
66.90659375 |
transcript.pyannote[22].end |
67.75034375 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
68.72909375 |
transcript.pyannote[23].end |
71.12534375 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
71.78346875 |
transcript.pyannote[24].end |
72.40784375 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
72.82971875 |
transcript.pyannote[25].end |
74.70284375 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
75.22596875 |
transcript.pyannote[26].end |
76.52534375 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
77.77409375 |
transcript.pyannote[27].end |
78.87096875 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
80.22096875 |
transcript.pyannote[28].end |
81.01409375 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
81.62159375 |
transcript.pyannote[29].end |
82.12784375 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
82.48221875 |
transcript.pyannote[30].end |
84.62534375 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
85.18221875 |
transcript.pyannote[31].end |
86.98784375 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
86.98784375 |
transcript.pyannote[32].end |
87.03846875 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
87.46034375 |
transcript.pyannote[33].end |
87.51096875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
87.51096875 |
transcript.pyannote[34].end |
89.58659375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
89.80596875 |
transcript.pyannote[35].end |
91.45971875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
92.13471875 |
transcript.pyannote[36].end |
94.36221875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
94.64909375 |
transcript.pyannote[37].end |
96.15096875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
96.55596875 |
transcript.pyannote[38].end |
98.68221875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
99.01971875 |
transcript.pyannote[39].end |
100.69034375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
100.99409375 |
transcript.pyannote[40].end |
104.16659375 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
104.26784375 |
transcript.pyannote[41].end |
104.63909375 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
104.80784375 |
transcript.pyannote[42].end |
107.00159375 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
107.28846875 |
transcript.pyannote[43].end |
109.12784375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
109.44846875 |
transcript.pyannote[44].end |
109.71846875 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
110.12346875 |
transcript.pyannote[45].end |
110.74784375 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
111.01784375 |
transcript.pyannote[46].end |
112.87409375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
113.56596875 |
transcript.pyannote[47].end |
114.17346875 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
114.62909375 |
transcript.pyannote[48].end |
116.16471875 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
116.29971875 |
transcript.pyannote[49].end |
118.76346875 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
119.42159375 |
transcript.pyannote[50].end |
124.26471875 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
124.53471875 |
transcript.pyannote[51].end |
130.50846875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
130.55909375 |
transcript.pyannote[52].end |
132.41534375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
132.71909375 |
transcript.pyannote[53].end |
135.75659375 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
136.06034375 |
transcript.pyannote[54].end |
136.51596875 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
136.65096875 |
transcript.pyannote[55].end |
138.59159375 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
138.79409375 |
transcript.pyannote[56].end |
139.50284375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
139.65471875 |
transcript.pyannote[57].end |
141.27471875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
142.16909375 |
transcript.pyannote[58].end |
143.63721875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
143.87346875 |
transcript.pyannote[59].end |
144.80159375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
144.98721875 |
transcript.pyannote[60].end |
147.50159375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
148.61534375 |
transcript.pyannote[61].end |
151.23096875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
151.73721875 |
transcript.pyannote[62].end |
153.28971875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
153.50909375 |
transcript.pyannote[63].end |
157.27221875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
157.94721875 |
transcript.pyannote[64].end |
161.64284375 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
161.81159375 |
transcript.pyannote[65].end |
162.46971875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
162.67221875 |
transcript.pyannote[66].end |
168.20721875 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
168.42659375 |
transcript.pyannote[67].end |
170.08034375 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
170.68784375 |
transcript.pyannote[68].end |
181.13346875 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
181.21784375 |
transcript.pyannote[69].end |
181.58909375 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
181.94346875 |
transcript.pyannote[70].end |
181.97721875 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
181.97721875 |
transcript.pyannote[71].end |
189.40221875 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
189.43596875 |
transcript.pyannote[72].end |
190.71846875 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
191.30909375 |
transcript.pyannote[73].end |
194.27909375 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
195.52784375 |
transcript.pyannote[74].end |
208.35284375 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
196.54034375 |
transcript.pyannote[75].end |
197.29971875 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
209.63534375 |
transcript.pyannote[76].end |
211.30596875 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
211.86284375 |
transcript.pyannote[77].end |
216.48659375 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
217.14471875 |
transcript.pyannote[78].end |
217.16159375 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
217.16159375 |
transcript.pyannote[79].end |
218.00534375 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
218.98409375 |
transcript.pyannote[80].end |
219.00096875 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
219.00096875 |
transcript.pyannote[81].end |
222.54471875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
222.67971875 |
transcript.pyannote[82].end |
223.64159375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
223.69221875 |
transcript.pyannote[83].end |
227.13471875 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
227.40471875 |
transcript.pyannote[84].end |
230.49284375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
230.66159375 |
transcript.pyannote[85].end |
232.11284375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
232.38284375 |
transcript.pyannote[86].end |
236.82096875 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
236.82096875 |
transcript.pyannote[87].end |
236.83784375 |
transcript.pyannote[88].speaker |
SPEAKER_02 |
transcript.pyannote[88].start |
237.07409375 |
transcript.pyannote[88].end |
237.14159375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
237.14159375 |
transcript.pyannote[89].end |
237.15846875 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
237.15846875 |
transcript.pyannote[90].end |
237.27659375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
237.56346875 |
transcript.pyannote[91].end |
237.96846875 |
transcript.pyannote[92].speaker |
SPEAKER_02 |
transcript.pyannote[92].start |
237.96846875 |
transcript.pyannote[92].end |
238.72784375 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
239.33534375 |
transcript.pyannote[93].end |
243.03096875 |
transcript.pyannote[94].speaker |
SPEAKER_02 |
transcript.pyannote[94].start |
243.30096875 |
transcript.pyannote[94].end |
251.29971875 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
251.83971875 |
transcript.pyannote[95].end |
252.68346875 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
253.07159375 |
transcript.pyannote[96].end |
257.96534375 |
transcript.pyannote[97].speaker |
SPEAKER_02 |
transcript.pyannote[97].start |
258.33659375 |
transcript.pyannote[97].end |
262.85909375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
263.66909375 |
transcript.pyannote[98].end |
267.02721875 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
267.28034375 |
transcript.pyannote[99].end |
268.25909375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
268.64721875 |
transcript.pyannote[100].end |
270.97596875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
271.26284375 |
transcript.pyannote[101].end |
272.84909375 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
273.00096875 |
transcript.pyannote[102].end |
275.05971875 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
275.26221875 |
transcript.pyannote[103].end |
277.60784375 |
transcript.pyannote[104].speaker |
SPEAKER_02 |
transcript.pyannote[104].start |
277.60784375 |
transcript.pyannote[104].end |
277.62471875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
278.28284375 |
transcript.pyannote[105].end |
278.97471875 |
transcript.pyannote[106].speaker |
SPEAKER_02 |
transcript.pyannote[106].start |
278.97471875 |
transcript.pyannote[106].end |
279.05909375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
279.54846875 |
transcript.pyannote[107].end |
279.56534375 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
279.56534375 |
transcript.pyannote[108].end |
281.87721875 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
282.34971875 |
transcript.pyannote[109].end |
282.82221875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
283.56471875 |
transcript.pyannote[110].end |
286.87221875 |
transcript.pyannote[111].speaker |
SPEAKER_02 |
transcript.pyannote[111].start |
287.10846875 |
transcript.pyannote[111].end |
289.82534375 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
290.60159375 |
transcript.pyannote[112].end |
295.57971875 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
296.89596875 |
transcript.pyannote[113].end |
302.78534375 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
303.07221875 |
transcript.pyannote[114].end |
303.42659375 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
303.74721875 |
transcript.pyannote[115].end |
308.03346875 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
308.20221875 |
transcript.pyannote[116].end |
310.05846875 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
310.39596875 |
transcript.pyannote[117].end |
312.37034375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
312.53909375 |
transcript.pyannote[118].end |
314.96909375 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
314.96909375 |
transcript.pyannote[119].end |
315.86346875 |
transcript.pyannote[120].speaker |
SPEAKER_02 |
transcript.pyannote[120].start |
316.23471875 |
transcript.pyannote[120].end |
322.32659375 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
323.40659375 |
transcript.pyannote[121].end |
323.94659375 |
transcript.pyannote[122].speaker |
SPEAKER_02 |
transcript.pyannote[122].start |
324.87471875 |
transcript.pyannote[122].end |
327.99659375 |
transcript.pyannote[123].speaker |
SPEAKER_02 |
transcript.pyannote[123].start |
329.00909375 |
transcript.pyannote[123].end |
329.68409375 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
331.20284375 |
transcript.pyannote[124].end |
331.75971875 |
transcript.pyannote[125].speaker |
SPEAKER_02 |
transcript.pyannote[125].start |
332.43471875 |
transcript.pyannote[125].end |
335.75909375 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
336.53534375 |
transcript.pyannote[126].end |
344.63534375 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
344.87159375 |
transcript.pyannote[127].end |
345.17534375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
345.39471875 |
transcript.pyannote[128].end |
350.67659375 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
350.89596875 |
transcript.pyannote[129].end |
352.09409375 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
352.53284375 |
transcript.pyannote[130].end |
355.11471875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
355.19909375 |
transcript.pyannote[131].end |
356.97096875 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
357.15659375 |
transcript.pyannote[132].end |
363.07971875 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
363.68721875 |
transcript.pyannote[133].end |
363.97409375 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
363.97409375 |
transcript.pyannote[134].end |
365.45909375 |
transcript.pyannote[135].speaker |
SPEAKER_02 |
transcript.pyannote[135].start |
365.54346875 |
transcript.pyannote[135].end |
368.26034375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
365.66159375 |
transcript.pyannote[136].end |
365.76284375 |
transcript.pyannote[137].speaker |
SPEAKER_02 |
transcript.pyannote[137].start |
368.80034375 |
transcript.pyannote[137].end |
371.21346875 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
371.50034375 |
transcript.pyannote[138].end |
372.02346875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
372.02346875 |
transcript.pyannote[139].end |
372.64784375 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
373.33971875 |
transcript.pyannote[140].end |
375.39846875 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
375.71909375 |
transcript.pyannote[141].end |
378.14909375 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
378.31784375 |
transcript.pyannote[142].end |
381.22034375 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
381.35534375 |
transcript.pyannote[143].end |
383.71784375 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
384.00471875 |
transcript.pyannote[144].end |
390.28221875 |
transcript.pyannote[145].speaker |
SPEAKER_02 |
transcript.pyannote[145].start |
389.33721875 |
transcript.pyannote[145].end |
389.72534375 |
transcript.pyannote[146].speaker |
SPEAKER_02 |
transcript.pyannote[146].start |
390.28221875 |
transcript.pyannote[146].end |
390.31596875 |
transcript.pyannote[147].speaker |
SPEAKER_02 |
transcript.pyannote[147].start |
390.36659375 |
transcript.pyannote[147].end |
401.85846875 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
401.95971875 |
transcript.pyannote[148].end |
408.15284375 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
408.28784375 |
transcript.pyannote[149].end |
416.38784375 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
416.52284375 |
transcript.pyannote[150].end |
420.97784375 |
transcript.pyannote[151].speaker |
SPEAKER_02 |
transcript.pyannote[151].start |
421.38284375 |
transcript.pyannote[151].end |
431.98034375 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
432.57096875 |
transcript.pyannote[152].end |
434.95034375 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
435.35534375 |
transcript.pyannote[153].end |
437.16096875 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
437.43096875 |
transcript.pyannote[154].end |
438.71346875 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
438.96659375 |
transcript.pyannote[155].end |
440.08034375 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
440.38409375 |
transcript.pyannote[156].end |
441.09284375 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
441.78471875 |
transcript.pyannote[157].end |
444.34971875 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
444.53534375 |
transcript.pyannote[158].end |
446.91471875 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
447.40409375 |
transcript.pyannote[159].end |
447.67409375 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
447.92721875 |
transcript.pyannote[160].end |
449.81721875 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
450.01971875 |
transcript.pyannote[161].end |
450.55971875 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
450.71159375 |
transcript.pyannote[162].end |
453.07409375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
453.32721875 |
transcript.pyannote[163].end |
454.74471875 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
455.67284375 |
transcript.pyannote[164].end |
457.46159375 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
457.84971875 |
transcript.pyannote[165].end |
458.76096875 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
459.08159375 |
transcript.pyannote[166].end |
461.14034375 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
461.52846875 |
transcript.pyannote[167].end |
463.40159375 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
463.80659375 |
transcript.pyannote[168].end |
465.89909375 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
466.15221875 |
transcript.pyannote[169].end |
467.94096875 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
468.83534375 |
transcript.pyannote[170].end |
470.13471875 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
470.80971875 |
transcript.pyannote[171].end |
472.36221875 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
472.53096875 |
transcript.pyannote[172].end |
475.53471875 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
475.75409375 |
transcript.pyannote[173].end |
477.49221875 |
transcript.pyannote[174].speaker |
SPEAKER_02 |
transcript.pyannote[174].start |
477.69471875 |
transcript.pyannote[174].end |
494.70471875 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
480.81659375 |
transcript.pyannote[175].end |
482.09909375 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
490.87409375 |
transcript.pyannote[176].end |
492.20721875 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
492.37596875 |
transcript.pyannote[177].end |
492.49409375 |
transcript.pyannote[178].speaker |
SPEAKER_02 |
transcript.pyannote[178].start |
494.85659375 |
transcript.pyannote[178].end |
497.10096875 |
transcript.pyannote[179].speaker |
SPEAKER_02 |
transcript.pyannote[179].start |
497.47221875 |
transcript.pyannote[179].end |
501.01596875 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
501.69096875 |
transcript.pyannote[180].end |
502.06221875 |
transcript.pyannote[181].speaker |
SPEAKER_02 |
transcript.pyannote[181].start |
502.06221875 |
transcript.pyannote[181].end |
502.11284375 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
502.11284375 |
transcript.pyannote[182].end |
502.14659375 |
transcript.pyannote[183].speaker |
SPEAKER_02 |
transcript.pyannote[183].start |
502.18034375 |
transcript.pyannote[183].end |
507.69846875 |
transcript.pyannote[184].speaker |
SPEAKER_02 |
transcript.pyannote[184].start |
508.13721875 |
transcript.pyannote[184].end |
508.84596875 |
transcript.pyannote[185].speaker |
SPEAKER_02 |
transcript.pyannote[185].start |
508.96409375 |
transcript.pyannote[185].end |
517.94159375 |
transcript.pyannote[186].speaker |
SPEAKER_02 |
transcript.pyannote[186].start |
518.27909375 |
transcript.pyannote[186].end |
519.07221875 |
transcript.pyannote[187].speaker |
SPEAKER_02 |
transcript.pyannote[187].start |
519.42659375 |
transcript.pyannote[187].end |
525.29909375 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
525.65346875 |
transcript.pyannote[188].end |
528.69096875 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
529.04534375 |
transcript.pyannote[189].end |
531.45846875 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
531.66096875 |
transcript.pyannote[190].end |
533.44971875 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
533.51721875 |
transcript.pyannote[191].end |
535.01909375 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
535.23846875 |
transcript.pyannote[192].end |
536.68971875 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
536.89221875 |
transcript.pyannote[193].end |
539.08596875 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
539.40659375 |
transcript.pyannote[194].end |
540.80721875 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
540.92534375 |
transcript.pyannote[195].end |
542.73096875 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
542.81534375 |
transcript.pyannote[196].end |
543.47346875 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
544.11471875 |
transcript.pyannote[197].end |
545.00909375 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
545.24534375 |
transcript.pyannote[198].end |
547.25346875 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
547.50659375 |
transcript.pyannote[199].end |
549.10971875 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
549.27846875 |
transcript.pyannote[200].end |
553.96971875 |
transcript.pyannote[201].speaker |
SPEAKER_02 |
transcript.pyannote[201].start |
549.70034375 |
transcript.pyannote[201].end |
551.18534375 |
transcript.pyannote[202].speaker |
SPEAKER_02 |
transcript.pyannote[202].start |
553.96971875 |
transcript.pyannote[202].end |
569.03909375 |
transcript.pyannote[203].speaker |
SPEAKER_02 |
transcript.pyannote[203].start |
569.73096875 |
transcript.pyannote[203].end |
578.21909375 |
transcript.pyannote[204].speaker |
SPEAKER_02 |
transcript.pyannote[204].start |
578.48909375 |
transcript.pyannote[204].end |
581.52659375 |
transcript.pyannote[205].speaker |
SPEAKER_02 |
transcript.pyannote[205].start |
581.96534375 |
transcript.pyannote[205].end |
585.57659375 |
transcript.pyannote[206].speaker |
SPEAKER_02 |
transcript.pyannote[206].start |
586.06596875 |
transcript.pyannote[206].end |
591.53346875 |
transcript.pyannote[207].speaker |
SPEAKER_02 |
transcript.pyannote[207].start |
591.97221875 |
transcript.pyannote[207].end |
594.53721875 |
transcript.pyannote[208].speaker |
SPEAKER_01 |
transcript.pyannote[208].start |
595.06034375 |
transcript.pyannote[208].end |
598.70534375 |
transcript.pyannote[209].speaker |
SPEAKER_01 |
transcript.pyannote[209].start |
600.24096875 |
transcript.pyannote[209].end |
602.53596875 |
transcript.pyannote[210].speaker |
SPEAKER_01 |
transcript.pyannote[210].start |
602.70471875 |
transcript.pyannote[210].end |
613.35284375 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
613.42034375 |
transcript.pyannote[211].end |
615.05721875 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
615.61409375 |
transcript.pyannote[212].end |
616.79534375 |
transcript.pyannote[213].speaker |
SPEAKER_01 |
transcript.pyannote[213].start |
617.23409375 |
transcript.pyannote[213].end |
619.15784375 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
617.63909375 |
transcript.pyannote[214].end |
617.87534375 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
619.39409375 |
transcript.pyannote[215].end |
621.46971875 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
619.64721875 |
transcript.pyannote[216].end |
620.18721875 |
transcript.pyannote[217].speaker |
SPEAKER_01 |
transcript.pyannote[217].start |
621.89159375 |
transcript.pyannote[217].end |
625.04721875 |
transcript.pyannote[218].speaker |
SPEAKER_02 |
transcript.pyannote[218].start |
625.04721875 |
transcript.pyannote[218].end |
625.08096875 |
transcript.pyannote[219].speaker |
SPEAKER_01 |
transcript.pyannote[219].start |
625.08096875 |
transcript.pyannote[219].end |
625.11471875 |
transcript.pyannote[220].speaker |
SPEAKER_02 |
transcript.pyannote[220].start |
625.11471875 |
transcript.pyannote[220].end |
625.13159375 |
transcript.pyannote[221].speaker |
SPEAKER_01 |
transcript.pyannote[221].start |
625.13159375 |
transcript.pyannote[221].end |
625.97534375 |
transcript.pyannote[222].speaker |
SPEAKER_02 |
transcript.pyannote[222].start |
625.97534375 |
transcript.pyannote[222].end |
626.53221875 |
transcript.pyannote[223].speaker |
SPEAKER_02 |
transcript.pyannote[223].start |
627.10596875 |
transcript.pyannote[223].end |
630.48096875 |
transcript.pyannote[224].speaker |
SPEAKER_02 |
transcript.pyannote[224].start |
630.95346875 |
transcript.pyannote[224].end |
632.50596875 |
transcript.pyannote[225].speaker |
SPEAKER_02 |
transcript.pyannote[225].start |
632.91096875 |
transcript.pyannote[225].end |
635.57721875 |
transcript.pyannote[226].speaker |
SPEAKER_02 |
transcript.pyannote[226].start |
635.94846875 |
transcript.pyannote[226].end |
638.12534375 |
transcript.pyannote[227].speaker |
SPEAKER_02 |
transcript.pyannote[227].start |
638.37846875 |
transcript.pyannote[227].end |
640.97721875 |
transcript.pyannote[228].speaker |
SPEAKER_02 |
transcript.pyannote[228].start |
641.44971875 |
transcript.pyannote[228].end |
649.46534375 |
transcript.pyannote[229].speaker |
SPEAKER_02 |
transcript.pyannote[229].start |
649.70159375 |
transcript.pyannote[229].end |
652.67159375 |
transcript.pyannote[230].speaker |
SPEAKER_02 |
transcript.pyannote[230].start |
652.97534375 |
transcript.pyannote[230].end |
655.70909375 |
transcript.pyannote[231].speaker |
SPEAKER_02 |
transcript.pyannote[231].start |
655.89471875 |
transcript.pyannote[231].end |
662.54346875 |
transcript.pyannote[232].speaker |
SPEAKER_02 |
transcript.pyannote[232].start |
662.83034375 |
transcript.pyannote[232].end |
664.55159375 |
transcript.pyannote[233].speaker |
SPEAKER_02 |
transcript.pyannote[233].start |
664.85534375 |
transcript.pyannote[233].end |
665.56409375 |
transcript.pyannote[234].speaker |
SPEAKER_02 |
transcript.pyannote[234].start |
665.73284375 |
transcript.pyannote[234].end |
667.63971875 |
transcript.pyannote[235].speaker |
SPEAKER_02 |
transcript.pyannote[235].start |
668.06159375 |
transcript.pyannote[235].end |
670.98096875 |
transcript.pyannote[236].speaker |
SPEAKER_02 |
transcript.pyannote[236].start |
671.43659375 |
transcript.pyannote[236].end |
675.53721875 |
transcript.pyannote[237].speaker |
SPEAKER_02 |
transcript.pyannote[237].start |
675.65534375 |
transcript.pyannote[237].end |
677.29221875 |
transcript.pyannote[238].speaker |
SPEAKER_02 |
transcript.pyannote[238].start |
677.86596875 |
transcript.pyannote[238].end |
682.37159375 |
transcript.pyannote[239].speaker |
SPEAKER_02 |
transcript.pyannote[239].start |
682.70909375 |
transcript.pyannote[239].end |
685.89846875 |
transcript.pyannote[240].speaker |
SPEAKER_02 |
transcript.pyannote[240].start |
686.77596875 |
transcript.pyannote[240].end |
691.46721875 |
transcript.pyannote[241].speaker |
SPEAKER_02 |
transcript.pyannote[241].start |
691.97346875 |
transcript.pyannote[241].end |
693.30659375 |
transcript.pyannote[242].speaker |
SPEAKER_02 |
transcript.pyannote[242].start |
693.59346875 |
transcript.pyannote[242].end |
694.36971875 |
transcript.pyannote[243].speaker |
SPEAKER_02 |
transcript.pyannote[243].start |
694.48784375 |
transcript.pyannote[243].end |
698.26784375 |
transcript.pyannote[244].speaker |
SPEAKER_01 |
transcript.pyannote[244].start |
698.26784375 |
transcript.pyannote[244].end |
699.55034375 |
transcript.pyannote[245].speaker |
SPEAKER_01 |
transcript.pyannote[245].start |
700.12409375 |
transcript.pyannote[245].end |
702.80721875 |
transcript.pyannote[246].speaker |
SPEAKER_01 |
transcript.pyannote[246].start |
703.00971875 |
transcript.pyannote[246].end |
707.39721875 |
transcript.pyannote[247].speaker |
SPEAKER_01 |
transcript.pyannote[247].start |
707.71784375 |
transcript.pyannote[247].end |
708.25784375 |
transcript.pyannote[248].speaker |
SPEAKER_01 |
transcript.pyannote[248].start |
708.81471875 |
transcript.pyannote[248].end |
714.63659375 |
transcript.pyannote[249].speaker |
SPEAKER_02 |
transcript.pyannote[249].start |
714.56909375 |
transcript.pyannote[249].end |
715.05846875 |
transcript.pyannote[250].speaker |
SPEAKER_01 |
transcript.pyannote[250].start |
715.00784375 |
transcript.pyannote[250].end |
715.68284375 |
transcript.pyannote[251].speaker |
SPEAKER_01 |
transcript.pyannote[251].start |
715.71659375 |
transcript.pyannote[251].end |
720.86346875 |
transcript.pyannote[252].speaker |
SPEAKER_01 |
transcript.pyannote[252].start |
720.96471875 |
transcript.pyannote[252].end |
724.22159375 |
transcript.pyannote[253].speaker |
SPEAKER_01 |
transcript.pyannote[253].start |
724.64346875 |
transcript.pyannote[253].end |
732.03471875 |
transcript.pyannote[254].speaker |
SPEAKER_01 |
transcript.pyannote[254].start |
732.38909375 |
transcript.pyannote[254].end |
739.47659375 |
transcript.pyannote[255].speaker |
SPEAKER_02 |
transcript.pyannote[255].start |
740.01659375 |
transcript.pyannote[255].end |
744.60659375 |
transcript.pyannote[256].speaker |
SPEAKER_02 |
transcript.pyannote[256].start |
744.67409375 |
transcript.pyannote[256].end |
756.92534375 |
transcript.pyannote[257].speaker |
SPEAKER_02 |
transcript.pyannote[257].start |
757.19534375 |
transcript.pyannote[257].end |
778.47471875 |
transcript.pyannote[258].speaker |
SPEAKER_02 |
transcript.pyannote[258].start |
778.91346875 |
transcript.pyannote[258].end |
779.99346875 |
transcript.pyannote[259].speaker |
SPEAKER_02 |
transcript.pyannote[259].start |
780.48284375 |
transcript.pyannote[259].end |
782.69346875 |
transcript.pyannote[260].speaker |
SPEAKER_02 |
transcript.pyannote[260].start |
783.09846875 |
transcript.pyannote[260].end |
785.88284375 |
transcript.pyannote[261].speaker |
SPEAKER_02 |
transcript.pyannote[261].start |
786.37221875 |
transcript.pyannote[261].end |
787.24971875 |
transcript.pyannote[262].speaker |
SPEAKER_02 |
transcript.pyannote[262].start |
787.82346875 |
transcript.pyannote[262].end |
788.73471875 |
transcript.pyannote[263].speaker |
SPEAKER_02 |
transcript.pyannote[263].start |
788.98784375 |
transcript.pyannote[263].end |
789.54471875 |
transcript.pyannote[264].speaker |
SPEAKER_02 |
transcript.pyannote[264].start |
790.11846875 |
transcript.pyannote[264].end |
791.45159375 |
transcript.pyannote[265].speaker |
SPEAKER_02 |
transcript.pyannote[265].start |
791.82284375 |
transcript.pyannote[265].end |
793.10534375 |
transcript.pyannote[266].speaker |
SPEAKER_02 |
transcript.pyannote[266].start |
793.51034375 |
transcript.pyannote[266].end |
806.09909375 |
transcript.pyannote[267].speaker |
SPEAKER_02 |
transcript.pyannote[267].start |
806.53784375 |
transcript.pyannote[267].end |
806.99346875 |
transcript.pyannote[268].speaker |
SPEAKER_02 |
transcript.pyannote[268].start |
807.29721875 |
transcript.pyannote[268].end |
810.25034375 |
transcript.pyannote[269].speaker |
SPEAKER_02 |
transcript.pyannote[269].start |
810.80721875 |
transcript.pyannote[269].end |
821.75909375 |
transcript.pyannote[270].speaker |
SPEAKER_02 |
transcript.pyannote[270].start |
822.21471875 |
transcript.pyannote[270].end |
822.94034375 |
transcript.pyannote[271].speaker |
SPEAKER_02 |
transcript.pyannote[271].start |
823.31159375 |
transcript.pyannote[271].end |
838.81971875 |
transcript.pyannote[272].speaker |
SPEAKER_02 |
transcript.pyannote[272].start |
839.27534375 |
transcript.pyannote[272].end |
850.31159375 |
transcript.pyannote[273].speaker |
SPEAKER_02 |
transcript.pyannote[273].start |
850.69971875 |
transcript.pyannote[273].end |
851.69534375 |
transcript.pyannote[274].speaker |
SPEAKER_00 |
transcript.pyannote[274].start |
851.34096875 |
transcript.pyannote[274].end |
851.47596875 |
transcript.pyannote[275].speaker |
SPEAKER_00 |
transcript.pyannote[275].start |
851.69534375 |
transcript.pyannote[275].end |
859.60971875 |
transcript.pyannote[276].speaker |
SPEAKER_00 |
transcript.pyannote[276].start |
859.71096875 |
transcript.pyannote[276].end |
864.19971875 |
transcript.pyannote[277].speaker |
SPEAKER_02 |
transcript.pyannote[277].start |
864.19971875 |
transcript.pyannote[277].end |
866.47784375 |
transcript.pyannote[278].speaker |
SPEAKER_02 |
transcript.pyannote[278].start |
866.86596875 |
transcript.pyannote[278].end |
868.03034375 |
transcript.pyannote[279].speaker |
SPEAKER_02 |
transcript.pyannote[279].start |
868.62096875 |
transcript.pyannote[279].end |
868.90784375 |
transcript.pyannote[280].speaker |
SPEAKER_02 |
transcript.pyannote[280].start |
869.85284375 |
transcript.pyannote[280].end |
873.91971875 |
transcript.pyannote[281].speaker |
SPEAKER_02 |
transcript.pyannote[281].start |
873.95346875 |
transcript.pyannote[281].end |
873.98721875 |
transcript.pyannote[282].speaker |
SPEAKER_02 |
transcript.pyannote[282].start |
874.20659375 |
transcript.pyannote[282].end |
875.42159375 |
transcript.pyannote[283].speaker |
SPEAKER_02 |
transcript.pyannote[283].start |
876.02909375 |
transcript.pyannote[283].end |
876.75471875 |
transcript.pyannote[284].speaker |
SPEAKER_02 |
transcript.pyannote[284].start |
877.14284375 |
transcript.pyannote[284].end |
882.57659375 |
transcript.pyannote[285].speaker |
SPEAKER_02 |
transcript.pyannote[285].start |
883.40346875 |
transcript.pyannote[285].end |
888.04409375 |
transcript.pyannote[286].speaker |
SPEAKER_02 |
transcript.pyannote[286].start |
888.44909375 |
transcript.pyannote[286].end |
897.46034375 |
transcript.pyannote[287].speaker |
SPEAKER_02 |
transcript.pyannote[287].start |
897.79784375 |
transcript.pyannote[287].end |
902.52284375 |
transcript.pyannote[288].speaker |
SPEAKER_00 |
transcript.pyannote[288].start |
904.93596875 |
transcript.pyannote[288].end |
917.96346875 |
transcript.pyannote[289].speaker |
SPEAKER_02 |
transcript.pyannote[289].start |
918.43596875 |
transcript.pyannote[289].end |
925.23659375 |
transcript.pyannote[290].speaker |
SPEAKER_02 |
transcript.pyannote[290].start |
926.08034375 |
transcript.pyannote[290].end |
928.99971875 |
transcript.pyannote[291].speaker |
SPEAKER_02 |
transcript.pyannote[291].start |
929.40471875 |
transcript.pyannote[291].end |
930.09659375 |
transcript.pyannote[292].speaker |
SPEAKER_02 |
transcript.pyannote[292].start |
939.79971875 |
transcript.pyannote[292].end |
941.97659375 |
transcript.whisperx[0].start |
6.818 |
transcript.whisperx[0].end |
16.281 |
transcript.whisperx[0].text |
韓院長在座卓院長以及行政團隊各位委員大家午安韓院長可不可以請卓院長老闆再請卓院長備詢卓院長好我們看到國際的局勢 |
transcript.whisperx[1].start |
30.712 |
transcript.whisperx[1].end |
53.005 |
transcript.whisperx[1].text |
變化萬千啦短短的一個月內台幣從新台幣33塊兌換1美元急升到接近快31塊今天今天已經破紀錄了一天就升值了快0.8角院長 |
transcript.whisperx[2].start |
59.619 |
transcript.whisperx[2].end |
86.659 |
transcript.whisperx[2].text |
台幣一直升值已經快接近了楊金榮總裁的防線這個防線以及新台幣的強勢是不是受到了什麼樣的壓力為什麼會那麼急升這個對國內的一些企業以及像觀光客來台灣的情況會不會有什麼不同的影響 |
transcript.whisperx[3].start |
88.043 |
transcript.whisperx[3].end |
113.806 |
transcript.whisperx[3].text |
日前楊總裁在答詢的過程當中也提到台灣長期來看是一個匯率穩定的國家我們也沒有強力的去操縱它就交由市場機制那目前我們也沒有受到任何的壓力對貨幣有任何升值的壓力但是還是取決於市場的機制但世界依照美元的走向美元比較疲軟 |
transcript.whisperx[4].start |
114.67 |
transcript.whisperx[4].end |
138.128 |
transcript.whisperx[4].text |
各種匯率比較升值現在是這個趨勢這個趨勢反映出關稅貿易政策的調整過程當中各國都還在調適但是我知道我們這樣的升值對國內的產業以及出國產業會造成相當大的衝擊所以我們才提出了這個產業支持的方案我們希望從各方面來幫忙產業度過這次的衝擊那或許我們現在面臨的狀況 |
transcript.whisperx[5].start |
142.233 |
transcript.whisperx[5].end |
168.542 |
transcript.whisperx[5].text |
有在我們的判斷當中但是他並沒有發生到現在我們不可控的狀況所以沒有來自美方的壓力楊總裁之前在這個地方已經正式的答覆我們沒有接到任何但是我是認為五會式的穩定是政府必該必應要有一番作為的所以我們對股市的穩定我們從四月初到現在有一套穩定的作為但會會會 |
transcript.whisperx[6].start |
170.923 |
transcript.whisperx[6].end |
194.06 |
transcript.whisperx[6].text |
匯率到底是國際的情勢影響很大那我們現在是持續的觀察我剛剛說我們現在這個預期是有的但是沒有發生到我們現在不可控的狀況前幾天可能沒有可是今天這個市場狀況也沒有看到央行出手干預一天的時間台幣兌美元匯率漲了八角 |
transcript.whisperx[7].start |
197.359 |
transcript.whisperx[7].end |
217.668 |
transcript.whisperx[7].text |
這個比率是非常的高從33塊到現在31塊大概沒有幾天的時間已經漲了快超過6%接近快10%台幣這樣再繼續走下有沒有可能升值到30塊台幣兌換1美元呢我們是在 |
transcript.whisperx[8].start |
219.059 |
transcript.whisperx[8].end |
238.317 |
transcript.whisperx[8].text |
持續的關注這個狀況但是央行對匯率的掌握他並沒有用行政上去干預太多因為我們不是一個政治干預貨幣的一個國家我們還是認為這個市場機制但是政府的關心跟業界的問題要連結在一起這個是政府的責任主席不要忘記了 |
transcript.whisperx[9].start |
239.378 |
transcript.whisperx[9].end |
262.498 |
transcript.whisperx[9].text |
我們的外匯存底裡面有92%大概4000多億的美元都是買美國公債相關的公債買了很多那萬一哪一天台幣又升值突破了27塊的話那我們相對的未實現的損失就會變很大很大 |
transcript.whisperx[10].start |
263.677 |
transcript.whisperx[10].end |
289.485 |
transcript.whisperx[10].text |
我們有一些金融機構過去對於一些美債的一些購買目前正式遭受到剛剛委員所說的這個狀況長到這樣的一個結果我們也在做一些體質上的調整那國家更應該及早的因應我們除了央行的外匯存底買美債請問台灣的售險公司產險公司以及金融相關公司 |
transcript.whisperx[11].start |
290.663 |
transcript.whisperx[11].end |
295.154 |
transcript.whisperx[11].text |
究竟買了多少的美國公債以及美國的公司債 |
transcript.whisperx[12].start |
297.063 |
transcript.whisperx[12].end |
322.275 |
transcript.whisperx[12].text |
這些民營的機構 民營的單位他們長期追求的是一個長期穩定的獲利所以購買各國比較安定的公債當然他們選項之一啦我想各國都會現在有一些基本上避險的思考那這個要一段時間慢慢來調適那這個要小心啦你現在一個籃子而已啊 單一啊全部壓在美國 壓在美金上面如果 |
transcript.whisperx[13].start |
324.906 |
transcript.whisperx[13].end |
335.482 |
transcript.whisperx[13].text |
美元全世界的地位它已經動搖了甚至它如果大幅的貶值為了讓美國再次偉大 |
transcript.whisperx[14].start |
336.564 |
transcript.whisperx[14].end |
362.888 |
transcript.whisperx[14].text |
那我們台灣的相關美元計價的資產可能就會遭受很嚴重的損失但是我相信任何一個國家對自己貨幣快速期間內、短期間內的大幅度的貶值對這個國家的財政都不是一個單純的好處而已它也會帶來很多的後遺症所以我相信各國政府都應該有一套自己在避險或是對貨率安定的一個措施 |
transcript.whisperx[15].start |
363.735 |
transcript.whisperx[15].end |
372.451 |
transcript.whisperx[15].text |
日本的廣場協議造成日本失落三十年因見不遠希望院長多多思考一下 |
transcript.whisperx[16].start |
373.49 |
transcript.whisperx[16].end |
398.464 |
transcript.whisperx[16].text |
我們很關切廣場決議之後造成的日幣在國際市場上面的因素但是我說目前來看我們沒有感受到這樣的直接的壓力來給台灣政府或是世界上它這是一個普遍性的狀況我們還在觀察它後續的發展所以就要多小心啦那因應國際局勢的變化事實上本席跟以前前委員吳信穎委員也提過 |
transcript.whisperx[17].start |
399.644 |
transcript.whisperx[17].end |
415.994 |
transcript.whisperx[17].text |
應該要成立一個主權基金帶領百工百業可以走向國際因為人是英雄錢是大如果有主權基金出去再配合一些企業我們高科技等等到各國去 |
transcript.whisperx[18].start |
416.91 |
transcript.whisperx[18].end |
431.805 |
transcript.whisperx[18].text |
談判去發展去做觀光也才會有利所以主權基金現在推動的情況不曉得院長大概進行到什麼地步大概他的規模size大概是會多少 |
transcript.whisperx[19].start |
432.766 |
transcript.whisperx[19].end |
446.823 |
transcript.whisperx[19].text |
過去我們當然是比較謹慎而保守啦那我認為現在國家的財力我們的產業的發展以及國際的局勢台灣應該能夠比較主動性的來討論這個話題包括它將來一定要有個專法來管理 |
transcript.whisperx[20].start |
447.995 |
transcript.whisperx[20].end |
467.803 |
transcript.whisperx[20].text |
有一個專業的管理的單位機制甚至他的資金的來源資金的規模都必須要在一個公開透明的機制裡面來做運作才可以那目前我們只是在一個構想上是朝比以前比較起來我們比較採取主動開放討論的方式那我認為他要距離我們成立 |
transcript.whisperx[21].start |
468.868 |
transcript.whisperx[21].end |
496.689 |
transcript.whisperx[21].text |
除非我們還要有一個很快的力道很大的力道讓他能夠有一個專法的成立否則現在我們這個還在一個討論的過程當中可以參考一下新加坡的主權基金是非常成功的例子還有新加坡的國家基金他不到90天就成立了我希望說這個可以請院長幕僚大家研究一下因為本席來自地方有一些相關的議題要趕緊要跟院長請教 |
transcript.whisperx[22].start |
497.54 |
transcript.whisperx[22].end |
517.253 |
transcript.whisperx[22].text |
那個請問一下五一勞動節的時候院長有沒有放假沒有沒有放假我們立委沒放假那變成說有七大行業有的要工作那問題都有小朋友啊可以說是天下大亂要接小孩的啦或者是不再要吃飯的通通是問題請問院長 |
transcript.whisperx[23].start |
519.514 |
transcript.whisperx[23].end |
542.499 |
transcript.whisperx[23].text |
五一勞動節可不可以調整全國的一致的放假情況五一勞動節針對勞工朋友的放假我想這個是一個最高的尊敬對勞工朋友們那當然他沒有全國性的放假也行之多年我想家長以及各個單位在調適上也已經相當有經驗到未來我認為我們在國家生產力的結構 |
transcript.whisperx[24].start |
544.639 |
transcript.whisperx[24].end |
568.755 |
transcript.whisperx[24].text |
檢討底下跟國家經濟成長的結構底下這個議題是可以討論的是可以討論的但是我也希望說勞資雙方要有和諧的討論基礎是 我們希望多一點彈性不然這些爸爸媽媽接這個小朋友可以接得眼花繚亂接得頭非常的痛那另外再請教一下就是現在的官貿大戰的情況之下 |
transcript.whisperx[25].start |
569.97 |
transcript.whisperx[25].end |
598.511 |
transcript.whisperx[25].text |
過去台灣因為說要加入WTO造成紅標米酒漲到一瓶180塊現在又是面臨關稅談判的時刻那如果照REN69標準來課稅的話會不會再一次的演變出台灣紅標米酒最必需的民生用品又開始飆漲所以早年的經驗告訴我們我們選擇用料理米酒的方式 |
transcript.whisperx[26].start |
601.328 |
transcript.whisperx[26].end |
619.966 |
transcript.whisperx[26].text |
脫開這個所謂增六九的方式用每公升來計價跟增六九用每度來計價是不一樣的我們已經有這樣的經驗我想這個是現在現存的至少在這個基礎之上我們應該維持現在的機制紅標米酒不會漲價我們已經有料理米酒了所以不會漲價我認為在談判過程當中對方也應該顧及到我國消費市場的習慣 |
transcript.whisperx[27].start |
626.052 |
transcript.whisperx[27].end |
652.291 |
transcript.whisperx[27].text |
謝謝 多努力另外在這裡要拜託院長大力來支持深坑輕軌的推動因為喊了快15年了我們在地方不分藍綠從蘇貞昌 蘇縣長到院長都說要大力支持現在的進度就是拜託交通部能大力支持 |
transcript.whisperx[28].start |
653.206 |
transcript.whisperx[28].end |
675.111 |
transcript.whisperx[28].text |
可行性評估通過了以後後面才會有綜合規劃環境影響評估以及都市計畫變更等等的作業過去蓋一條深坑輕軌大概金額比較低一百多億現在聽說因為原物料又漲 工又漲聽說金額要 |
transcript.whisperx[29].start |
677.915 |
transcript.whisperx[29].end |
699.306 |
transcript.whisperx[29].text |
往上調那這一條深坑清軌我覺得深坑是台北市的後花園禮拜六禮拜天深坑老街可以說是人潮擁擠拜託拜託周院長大力支持讓深坑清軌可以早日完工 |
transcript.whisperx[30].start |
700.331 |
transcript.whisperx[30].end |
715.368 |
transcript.whisperx[30].text |
現在很多的重大的公共工程爆來的修正計畫都如委員所說的都是幾乎成加倍或者是50%、60%、70%這樣的幅度再加所以我說今天不做明天是做不下去的所以 |
transcript.whisperx[31].start |
715.908 |
transcript.whisperx[31].end |
739.321 |
transcript.whisperx[31].text |
但是深坑輕軌這個事情他現在原來的評估啦對他的自償率還不足的問題是列為一個參考評估的一個重點但是我認為國家的財政跟地方的發展我們對自償率應該有一個比較廣闊的開放態度如果國家財政不好當然我們希望這樣子如果國家財政好我們希望用交通帶動地方建設的這個觀念要把它轉化下去 |
transcript.whisperx[32].start |
740.466 |
transcript.whisperx[32].end |
760.432 |
transcript.whisperx[32].text |
其實很認同院長所講其實不用害怕因為捷運到哪裡其實都更就發展到哪裡就帶動起來而且深坑離101大概不用十幾分鐘的路程就可以到所以非常的近所以我把它定位為台北市的後花園 |
transcript.whisperx[33].start |
761.312 |
transcript.whisperx[33].end |
789.268 |
transcript.whisperx[33].text |
希望我們所有大台北所有的朋友如果要到後花園的時候輕軌一坐很方便在那邊環境又漂亮還有深坑的臭豆腐美食也都不錯還可以間接的帶動地方觀光的發展所以謝謝院長大力支持另外也拜託周院長可以大力來支持安坑的特異號道路第三期因為大家都知道有了 |
transcript.whisperx[34].start |
790.748 |
transcript.whisperx[34].end |
819.504 |
transcript.whisperx[34].text |
這個特一號道路一期以後所有的安坑的輕軌已經完工通車了本席多年的在這裡大力的爭取非常感謝行政院相關部門大力的支持已經通車了而且當地所有的居民反應非常棒但是現在這個路基的部分就是有一期二期安坑特一號道路就是需要第三期過去大概七八十億 |
transcript.whisperx[35].start |
820.226 |
transcript.whisperx[35].end |
829.765 |
transcript.whisperx[35].text |
現在恐怕要90億了但是第三期如果做好了對整個大台北華城對那邊學校康橋 |
transcript.whisperx[36].start |
832.854 |
transcript.whisperx[36].end |
859.104 |
transcript.whisperx[36].text |
國際中小學以及附近所有的大型社區的交通幫助非常非常的需要所以在這裡拜託能大力支持安坑一號道路的第三期包括華城快速道路的興建報告員這個部分要請這個新北市政府用這個生活圈計畫的道路來申請補助 |
transcript.whisperx[37].start |
859.764 |
transcript.whisperx[37].end |
882.359 |
transcript.whisperx[37].text |
那看是內政部或者是交通部我們兩個部會來協調看有誰來協助好 謝謝那我們就大力來推動另外還有一個就是安坑一號道路延伸至土城交流道安城快速道路現在從安坑交流道到中和交流道就是北要高的部分 |
transcript.whisperx[38].start |
883.482 |
transcript.whisperx[38].end |
902.314 |
transcript.whisperx[38].text |
常常堵車堵得非常的厲害時事物不到20公里如果在五城那個地方就安坑特業道路直接翻山越嶺穿過去就接到土城交流道非常的便捷那也需要在這裡拜託院長大力支持 |
transcript.whisperx[39].start |
906.381 |
transcript.whisperx[39].end |
929.873 |
transcript.whisperx[39].text |
跟剛剛那條是一樣的,他可以透過這個生活圈計畫來中央申請補助因為他如果是都市計畫內就是有內政部,都市計畫外交通部在思考幹什麼樣協助那我們一起努力另外還有一個安坑輕軌可不可以串聯到規劃中的中和光復線因為安坑輕軌已經OK了,直接拉過去更方便 |
transcript.whisperx[40].start |
939.889 |
transcript.whisperx[40].end |
940.27 |
transcript.whisperx[40].text |
好 謝謝羅明財委員 |