IVOD_ID |
161682 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/161682 |
日期 |
2025-05-21 |
會議資料.會議代碼 |
委員會-11-3-20-13 |
會議資料.會議代碼:str |
第11屆第3會期財政委員會第13次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
13 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
20 |
會議資料.委員會代碼:str[0] |
財政委員會 |
會議資料.標題 |
第11屆第3會期財政委員會第13次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-05-21T10:06:55+08:00 |
結束時間 |
2025-05-21T10:20:37+08:00 |
影片長度 |
00:13:42 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/e381da0d479eb7db4679941d4d4064ecda433bb611ec39b9c32860b8eb41b244005dafe6a1b373055ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
賴士葆 |
委員發言時間 |
10:06:55 - 10:20:37 |
會議時間 |
2025-05-21T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期財政委員會第13次全體委員會議(事由:一、邀請財政部、金融監督管理委員會、中央銀行就「房屋稅2.0課徵亂象與金融機構對不動產融資緊縮及中央銀行信用管制措施對房地產交易之影響」進行專題報告,並備質詢。
二、處理中華民國114年度中央政府總預算決議有關金融監督管理委員會主管預算凍結書面報告案39案。【報告事項】
三、處理中華民國114年度中央政府總預算決議有關金融監督管理委員會主管預算凍結專案報告案9案。【討論事項】) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
3.89534375 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
4.23284375 |
transcript.pyannote[1].end |
7.40534375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
6.74721875 |
transcript.pyannote[2].end |
7.27034375 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
7.87784375 |
transcript.pyannote[3].end |
10.47659375 |
transcript.pyannote[4].speaker |
SPEAKER_02 |
transcript.pyannote[4].start |
10.52721875 |
transcript.pyannote[4].end |
11.06721875 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
11.91096875 |
transcript.pyannote[5].end |
12.85596875 |
transcript.pyannote[6].speaker |
SPEAKER_02 |
transcript.pyannote[6].start |
13.42971875 |
transcript.pyannote[6].end |
15.47159375 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
16.02846875 |
transcript.pyannote[7].end |
18.15471875 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
18.44159375 |
transcript.pyannote[8].end |
22.30596875 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
22.86284375 |
transcript.pyannote[9].end |
23.77409375 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
23.92596875 |
transcript.pyannote[10].end |
25.57971875 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
25.86659375 |
transcript.pyannote[11].end |
28.09409375 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
28.34721875 |
transcript.pyannote[12].end |
30.81096875 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
31.09784375 |
transcript.pyannote[13].end |
34.21971875 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
35.02971875 |
transcript.pyannote[14].end |
36.34596875 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
36.59909375 |
transcript.pyannote[15].end |
37.83096875 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
38.37096875 |
transcript.pyannote[16].end |
39.51846875 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
40.10909375 |
transcript.pyannote[17].end |
41.17221875 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
41.42534375 |
transcript.pyannote[18].end |
43.26471875 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
43.72034375 |
transcript.pyannote[19].end |
45.55971875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
45.61034375 |
transcript.pyannote[20].end |
45.91409375 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
46.63971875 |
transcript.pyannote[21].end |
48.96846875 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
49.23846875 |
transcript.pyannote[22].end |
50.30159375 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
50.95971875 |
transcript.pyannote[23].end |
64.62846875 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
64.96596875 |
transcript.pyannote[24].end |
80.08596875 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
74.33159375 |
transcript.pyannote[25].end |
74.78721875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
74.78721875 |
transcript.pyannote[26].end |
74.87159375 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
74.87159375 |
transcript.pyannote[27].end |
74.93909375 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
74.93909375 |
transcript.pyannote[28].end |
75.05721875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
75.05721875 |
transcript.pyannote[29].end |
75.59721875 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
80.79471875 |
transcript.pyannote[30].end |
81.82409375 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
81.82409375 |
transcript.pyannote[31].end |
81.97596875 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
81.97596875 |
transcript.pyannote[32].end |
87.07221875 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
87.91596875 |
transcript.pyannote[33].end |
88.33784375 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
88.91159375 |
transcript.pyannote[34].end |
110.24159375 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
110.76471875 |
transcript.pyannote[35].end |
111.16971875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
111.16971875 |
transcript.pyannote[36].end |
111.20346875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
111.22034375 |
transcript.pyannote[37].end |
111.79409375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
112.14846875 |
transcript.pyannote[38].end |
119.80971875 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
119.99534375 |
transcript.pyannote[39].end |
122.74596875 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
123.03284375 |
transcript.pyannote[40].end |
126.40784375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
124.87221875 |
transcript.pyannote[41].end |
125.27721875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
125.85096875 |
transcript.pyannote[42].end |
126.18846875 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
126.40784375 |
transcript.pyannote[43].end |
126.54284375 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
126.54284375 |
transcript.pyannote[44].end |
126.59346875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
126.59346875 |
transcript.pyannote[45].end |
142.52346875 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
126.61034375 |
transcript.pyannote[46].end |
127.36971875 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
134.44034375 |
transcript.pyannote[47].end |
134.52471875 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
134.52471875 |
transcript.pyannote[48].end |
134.96346875 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
134.96346875 |
transcript.pyannote[49].end |
134.98034375 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
138.25409375 |
transcript.pyannote[50].end |
139.01346875 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
141.79784375 |
transcript.pyannote[51].end |
142.50659375 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
142.52346875 |
transcript.pyannote[52].end |
143.97471875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
143.97471875 |
transcript.pyannote[53].end |
144.27846875 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
144.27846875 |
transcript.pyannote[54].end |
144.31221875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
144.31221875 |
transcript.pyannote[55].end |
147.18096875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
147.56909375 |
transcript.pyannote[56].end |
152.96909375 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
149.08784375 |
transcript.pyannote[57].end |
150.21846875 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
150.25221875 |
transcript.pyannote[58].end |
150.58971875 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
152.96909375 |
transcript.pyannote[59].end |
153.71159375 |
transcript.pyannote[60].speaker |
SPEAKER_02 |
transcript.pyannote[60].start |
154.65659375 |
transcript.pyannote[60].end |
156.46221875 |
transcript.pyannote[61].speaker |
SPEAKER_02 |
transcript.pyannote[61].start |
156.78284375 |
transcript.pyannote[61].end |
158.68971875 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
161.64284375 |
transcript.pyannote[62].end |
162.03096875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
162.03096875 |
transcript.pyannote[63].end |
163.16159375 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
163.70159375 |
transcript.pyannote[64].end |
165.00096875 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
164.03909375 |
transcript.pyannote[65].end |
164.64659375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
165.37221875 |
transcript.pyannote[66].end |
168.13971875 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
168.59534375 |
transcript.pyannote[67].end |
173.38784375 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
172.84784375 |
transcript.pyannote[68].end |
172.89846875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
173.80971875 |
transcript.pyannote[69].end |
175.51409375 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
176.03721875 |
transcript.pyannote[70].end |
179.56409375 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
177.91034375 |
transcript.pyannote[71].end |
181.58909375 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
182.12909375 |
transcript.pyannote[72].end |
184.33971875 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
185.31846875 |
transcript.pyannote[73].end |
186.31409375 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
186.49971875 |
transcript.pyannote[74].end |
187.61346875 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
188.45721875 |
transcript.pyannote[75].end |
189.43596875 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
189.68909375 |
transcript.pyannote[76].end |
191.62971875 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
192.45659375 |
transcript.pyannote[77].end |
194.02596875 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
194.02596875 |
transcript.pyannote[78].end |
195.08909375 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
195.54471875 |
transcript.pyannote[79].end |
196.87784375 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
197.48534375 |
transcript.pyannote[80].end |
200.72534375 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
200.72534375 |
transcript.pyannote[81].end |
201.90659375 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
201.14721875 |
transcript.pyannote[82].end |
201.87284375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
201.90659375 |
transcript.pyannote[83].end |
202.37909375 |
transcript.pyannote[84].speaker |
SPEAKER_02 |
transcript.pyannote[84].start |
202.56471875 |
transcript.pyannote[84].end |
214.17471875 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
214.29284375 |
transcript.pyannote[85].end |
215.72721875 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
216.38534375 |
transcript.pyannote[86].end |
217.76909375 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
217.80284375 |
transcript.pyannote[87].end |
219.05159375 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
219.05159375 |
transcript.pyannote[88].end |
219.06846875 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
219.94596875 |
transcript.pyannote[89].end |
233.59784375 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
225.37971875 |
transcript.pyannote[90].end |
225.70034375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
225.70034375 |
transcript.pyannote[91].end |
225.71721875 |
transcript.pyannote[92].speaker |
SPEAKER_02 |
transcript.pyannote[92].start |
226.15596875 |
transcript.pyannote[92].end |
226.67909375 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
231.03284375 |
transcript.pyannote[93].end |
234.28971875 |
transcript.pyannote[94].speaker |
SPEAKER_02 |
transcript.pyannote[94].start |
234.99846875 |
transcript.pyannote[94].end |
242.84534375 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
243.13221875 |
transcript.pyannote[95].end |
245.41034375 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
244.73534375 |
transcript.pyannote[96].end |
248.34659375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
245.46096875 |
transcript.pyannote[97].end |
246.32159375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
246.50721875 |
transcript.pyannote[98].end |
248.41409375 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
248.66721875 |
transcript.pyannote[99].end |
262.48784375 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
252.32909375 |
transcript.pyannote[100].end |
253.79721875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
263.34846875 |
transcript.pyannote[101].end |
271.81971875 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
264.81659375 |
transcript.pyannote[102].end |
265.10346875 |
transcript.pyannote[103].speaker |
SPEAKER_02 |
transcript.pyannote[103].start |
270.30096875 |
transcript.pyannote[103].end |
271.98846875 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
271.92096875 |
transcript.pyannote[104].end |
273.96284375 |
transcript.pyannote[105].speaker |
SPEAKER_02 |
transcript.pyannote[105].start |
273.96284375 |
transcript.pyannote[105].end |
274.38471875 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
274.38471875 |
transcript.pyannote[106].end |
279.37971875 |
transcript.pyannote[107].speaker |
SPEAKER_02 |
transcript.pyannote[107].start |
278.77221875 |
transcript.pyannote[107].end |
279.17721875 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
279.37971875 |
transcript.pyannote[108].end |
281.26971875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
280.07159375 |
transcript.pyannote[109].end |
280.35846875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
281.69159375 |
transcript.pyannote[110].end |
292.55909375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
283.37909375 |
transcript.pyannote[111].end |
283.58159375 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
293.04846875 |
transcript.pyannote[112].end |
304.25346875 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
304.60784375 |
transcript.pyannote[113].end |
309.02909375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
309.02909375 |
transcript.pyannote[114].end |
309.26534375 |
transcript.pyannote[115].speaker |
SPEAKER_02 |
transcript.pyannote[115].start |
309.26534375 |
transcript.pyannote[115].end |
309.33284375 |
transcript.pyannote[116].speaker |
SPEAKER_02 |
transcript.pyannote[116].start |
309.38346875 |
transcript.pyannote[116].end |
309.43409375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
309.43409375 |
transcript.pyannote[117].end |
315.79596875 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
309.58596875 |
transcript.pyannote[118].end |
309.88971875 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
313.19721875 |
transcript.pyannote[119].end |
313.38284375 |
transcript.pyannote[120].speaker |
SPEAKER_02 |
transcript.pyannote[120].start |
314.68221875 |
transcript.pyannote[120].end |
315.77909375 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
315.79596875 |
transcript.pyannote[121].end |
315.81284375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
315.81284375 |
transcript.pyannote[122].end |
315.82971875 |
transcript.pyannote[123].speaker |
SPEAKER_02 |
transcript.pyannote[123].start |
315.82971875 |
transcript.pyannote[123].end |
315.93096875 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
315.96471875 |
transcript.pyannote[124].end |
315.99846875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
315.99846875 |
transcript.pyannote[125].end |
322.37721875 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
316.23471875 |
transcript.pyannote[126].end |
317.58471875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
322.96784375 |
transcript.pyannote[127].end |
322.98471875 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
322.98471875 |
transcript.pyannote[128].end |
325.11096875 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
325.78596875 |
transcript.pyannote[129].end |
329.22846875 |
transcript.pyannote[130].speaker |
SPEAKER_02 |
transcript.pyannote[130].start |
329.80221875 |
transcript.pyannote[130].end |
331.47284375 |
transcript.pyannote[131].speaker |
SPEAKER_02 |
transcript.pyannote[131].start |
331.77659375 |
transcript.pyannote[131].end |
333.68346875 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
334.02096875 |
transcript.pyannote[132].end |
336.61971875 |
transcript.pyannote[133].speaker |
SPEAKER_02 |
transcript.pyannote[133].start |
336.72096875 |
transcript.pyannote[133].end |
339.03284375 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
339.67409375 |
transcript.pyannote[134].end |
342.61034375 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
342.10409375 |
transcript.pyannote[135].end |
342.44159375 |
transcript.pyannote[136].speaker |
SPEAKER_02 |
transcript.pyannote[136].start |
342.84659375 |
transcript.pyannote[136].end |
346.22159375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
342.89721875 |
transcript.pyannote[137].end |
346.00221875 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
346.47471875 |
transcript.pyannote[138].end |
351.90846875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
346.50846875 |
transcript.pyannote[139].end |
346.81221875 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
346.91346875 |
transcript.pyannote[140].end |
346.98096875 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
352.73534375 |
transcript.pyannote[141].end |
353.66346875 |
transcript.pyannote[142].speaker |
SPEAKER_02 |
transcript.pyannote[142].start |
354.59159375 |
transcript.pyannote[142].end |
355.97534375 |
transcript.pyannote[143].speaker |
SPEAKER_02 |
transcript.pyannote[143].start |
356.95409375 |
transcript.pyannote[143].end |
364.07534375 |
transcript.pyannote[144].speaker |
SPEAKER_02 |
transcript.pyannote[144].start |
364.85159375 |
transcript.pyannote[144].end |
366.96096875 |
transcript.pyannote[145].speaker |
SPEAKER_02 |
transcript.pyannote[145].start |
367.65284375 |
transcript.pyannote[145].end |
370.50471875 |
transcript.pyannote[146].speaker |
SPEAKER_02 |
transcript.pyannote[146].start |
371.38221875 |
transcript.pyannote[146].end |
373.01909375 |
transcript.pyannote[147].speaker |
SPEAKER_02 |
transcript.pyannote[147].start |
374.08221875 |
transcript.pyannote[147].end |
375.16221875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
374.14971875 |
transcript.pyannote[148].end |
379.53284375 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
376.09034375 |
transcript.pyannote[149].end |
376.34346875 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
377.84534375 |
transcript.pyannote[150].end |
385.06784375 |
transcript.pyannote[151].speaker |
SPEAKER_02 |
transcript.pyannote[151].start |
385.42221875 |
transcript.pyannote[151].end |
386.01284375 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
386.13096875 |
transcript.pyannote[152].end |
386.73846875 |
transcript.pyannote[153].speaker |
SPEAKER_02 |
transcript.pyannote[153].start |
387.32909375 |
transcript.pyannote[153].end |
390.31596875 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
390.88971875 |
transcript.pyannote[154].end |
393.42096875 |
transcript.pyannote[155].speaker |
SPEAKER_02 |
transcript.pyannote[155].start |
393.53909375 |
transcript.pyannote[155].end |
393.87659375 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
395.71596875 |
transcript.pyannote[156].end |
398.33159375 |
transcript.pyannote[157].speaker |
SPEAKER_02 |
transcript.pyannote[157].start |
399.00659375 |
transcript.pyannote[157].end |
401.23409375 |
transcript.pyannote[158].speaker |
SPEAKER_02 |
transcript.pyannote[158].start |
401.48721875 |
transcript.pyannote[158].end |
403.19159375 |
transcript.pyannote[159].speaker |
SPEAKER_02 |
transcript.pyannote[159].start |
404.47409375 |
transcript.pyannote[159].end |
407.00534375 |
transcript.pyannote[160].speaker |
SPEAKER_02 |
transcript.pyannote[160].start |
407.03909375 |
transcript.pyannote[160].end |
409.67159375 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
411.30846875 |
transcript.pyannote[161].end |
411.98346875 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
412.81034375 |
transcript.pyannote[162].end |
415.02096875 |
transcript.pyannote[163].speaker |
SPEAKER_02 |
transcript.pyannote[163].start |
415.64534375 |
transcript.pyannote[163].end |
416.70846875 |
transcript.pyannote[164].speaker |
SPEAKER_02 |
transcript.pyannote[164].start |
417.24846875 |
transcript.pyannote[164].end |
418.66596875 |
transcript.pyannote[165].speaker |
SPEAKER_02 |
transcript.pyannote[165].start |
418.91909375 |
transcript.pyannote[165].end |
419.67846875 |
transcript.pyannote[166].speaker |
SPEAKER_02 |
transcript.pyannote[166].start |
420.16784375 |
transcript.pyannote[166].end |
422.02409375 |
transcript.pyannote[167].speaker |
SPEAKER_02 |
transcript.pyannote[167].start |
422.47971875 |
transcript.pyannote[167].end |
423.81284375 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
423.98159375 |
transcript.pyannote[168].end |
425.19659375 |
transcript.pyannote[169].speaker |
SPEAKER_02 |
transcript.pyannote[169].start |
425.78721875 |
transcript.pyannote[169].end |
428.23409375 |
transcript.pyannote[170].speaker |
SPEAKER_02 |
transcript.pyannote[170].start |
428.82471875 |
transcript.pyannote[170].end |
430.84971875 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
431.44034375 |
transcript.pyannote[171].end |
432.11534375 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
432.36846875 |
transcript.pyannote[172].end |
432.75659375 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
432.75659375 |
transcript.pyannote[173].end |
432.77346875 |
transcript.pyannote[174].speaker |
SPEAKER_02 |
transcript.pyannote[174].start |
433.33034375 |
transcript.pyannote[174].end |
433.38096875 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
433.38096875 |
transcript.pyannote[175].end |
433.71846875 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
433.95471875 |
transcript.pyannote[176].end |
434.25846875 |
transcript.pyannote[177].speaker |
SPEAKER_02 |
transcript.pyannote[177].start |
434.34284375 |
transcript.pyannote[177].end |
434.35971875 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
434.35971875 |
transcript.pyannote[178].end |
435.84471875 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
435.99659375 |
transcript.pyannote[179].end |
437.12721875 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
437.70096875 |
transcript.pyannote[180].end |
440.83971875 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
439.65846875 |
transcript.pyannote[181].end |
439.69221875 |
transcript.pyannote[182].speaker |
SPEAKER_02 |
transcript.pyannote[182].start |
439.69221875 |
transcript.pyannote[182].end |
440.19846875 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
441.14346875 |
transcript.pyannote[183].end |
441.61596875 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
442.07159375 |
transcript.pyannote[184].end |
445.75034375 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
444.53534375 |
transcript.pyannote[185].end |
444.63659375 |
transcript.pyannote[186].speaker |
SPEAKER_02 |
transcript.pyannote[186].start |
444.63659375 |
transcript.pyannote[186].end |
445.04159375 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
447.84284375 |
transcript.pyannote[187].end |
448.07909375 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
448.14659375 |
transcript.pyannote[188].end |
450.89721875 |
transcript.pyannote[189].speaker |
SPEAKER_02 |
transcript.pyannote[189].start |
451.42034375 |
transcript.pyannote[189].end |
451.77471875 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
452.07846875 |
transcript.pyannote[190].end |
452.09534375 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
452.09534375 |
transcript.pyannote[191].end |
452.16284375 |
transcript.pyannote[192].speaker |
SPEAKER_02 |
transcript.pyannote[192].start |
452.16284375 |
transcript.pyannote[192].end |
454.60971875 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
452.19659375 |
transcript.pyannote[193].end |
453.69846875 |
transcript.pyannote[194].speaker |
SPEAKER_02 |
transcript.pyannote[194].start |
456.39846875 |
transcript.pyannote[194].end |
461.14034375 |
transcript.pyannote[195].speaker |
SPEAKER_02 |
transcript.pyannote[195].start |
462.11909375 |
transcript.pyannote[195].end |
464.38034375 |
transcript.pyannote[196].speaker |
SPEAKER_02 |
transcript.pyannote[196].start |
465.29159375 |
transcript.pyannote[196].end |
466.75971875 |
transcript.pyannote[197].speaker |
SPEAKER_02 |
transcript.pyannote[197].start |
467.21534375 |
transcript.pyannote[197].end |
467.67096875 |
transcript.pyannote[198].speaker |
SPEAKER_02 |
transcript.pyannote[198].start |
468.73409375 |
transcript.pyannote[198].end |
470.16846875 |
transcript.pyannote[199].speaker |
SPEAKER_02 |
transcript.pyannote[199].start |
471.11346875 |
transcript.pyannote[199].end |
472.22721875 |
transcript.pyannote[200].speaker |
SPEAKER_02 |
transcript.pyannote[200].start |
472.51409375 |
transcript.pyannote[200].end |
473.91471875 |
transcript.pyannote[201].speaker |
SPEAKER_02 |
transcript.pyannote[201].start |
474.30284375 |
transcript.pyannote[201].end |
476.26034375 |
transcript.pyannote[202].speaker |
SPEAKER_02 |
transcript.pyannote[202].start |
477.00284375 |
transcript.pyannote[202].end |
479.28096875 |
transcript.pyannote[203].speaker |
SPEAKER_02 |
transcript.pyannote[203].start |
480.02346875 |
transcript.pyannote[203].end |
480.37784375 |
transcript.pyannote[204].speaker |
SPEAKER_02 |
transcript.pyannote[204].start |
480.78284375 |
transcript.pyannote[204].end |
482.16659375 |
transcript.pyannote[205].speaker |
SPEAKER_02 |
transcript.pyannote[205].start |
482.31846875 |
transcript.pyannote[205].end |
483.55034375 |
transcript.pyannote[206].speaker |
SPEAKER_02 |
transcript.pyannote[206].start |
484.15784375 |
transcript.pyannote[206].end |
484.51221875 |
transcript.pyannote[207].speaker |
SPEAKER_02 |
transcript.pyannote[207].start |
484.93409375 |
transcript.pyannote[207].end |
487.68471875 |
transcript.pyannote[208].speaker |
SPEAKER_02 |
transcript.pyannote[208].start |
488.41034375 |
transcript.pyannote[208].end |
491.05971875 |
transcript.pyannote[209].speaker |
SPEAKER_02 |
transcript.pyannote[209].start |
491.56596875 |
transcript.pyannote[209].end |
494.43471875 |
transcript.pyannote[210].speaker |
SPEAKER_02 |
transcript.pyannote[210].start |
494.56971875 |
transcript.pyannote[210].end |
498.33284375 |
transcript.pyannote[211].speaker |
SPEAKER_02 |
transcript.pyannote[211].start |
498.53534375 |
transcript.pyannote[211].end |
499.80096875 |
transcript.pyannote[212].speaker |
SPEAKER_02 |
transcript.pyannote[212].start |
500.88096875 |
transcript.pyannote[212].end |
502.66971875 |
transcript.pyannote[213].speaker |
SPEAKER_02 |
transcript.pyannote[213].start |
503.22659375 |
transcript.pyannote[213].end |
504.67784375 |
transcript.pyannote[214].speaker |
SPEAKER_02 |
transcript.pyannote[214].start |
505.01534375 |
transcript.pyannote[214].end |
506.46659375 |
transcript.pyannote[215].speaker |
SPEAKER_02 |
transcript.pyannote[215].start |
506.90534375 |
transcript.pyannote[215].end |
508.33971875 |
transcript.pyannote[216].speaker |
SPEAKER_02 |
transcript.pyannote[216].start |
509.01471875 |
transcript.pyannote[216].end |
510.88784375 |
transcript.pyannote[217].speaker |
SPEAKER_02 |
transcript.pyannote[217].start |
511.25909375 |
transcript.pyannote[217].end |
514.66784375 |
transcript.pyannote[218].speaker |
SPEAKER_02 |
transcript.pyannote[218].start |
515.02221875 |
transcript.pyannote[218].end |
517.53659375 |
transcript.pyannote[219].speaker |
SPEAKER_02 |
transcript.pyannote[219].start |
518.44784375 |
transcript.pyannote[219].end |
522.58221875 |
transcript.pyannote[220].speaker |
SPEAKER_02 |
transcript.pyannote[220].start |
523.22346875 |
transcript.pyannote[220].end |
523.79721875 |
transcript.pyannote[221].speaker |
SPEAKER_02 |
transcript.pyannote[221].start |
524.47221875 |
transcript.pyannote[221].end |
526.93596875 |
transcript.pyannote[222].speaker |
SPEAKER_02 |
transcript.pyannote[222].start |
527.50971875 |
transcript.pyannote[222].end |
531.76221875 |
transcript.pyannote[223].speaker |
SPEAKER_02 |
transcript.pyannote[223].start |
531.91409375 |
transcript.pyannote[223].end |
532.80846875 |
transcript.pyannote[224].speaker |
SPEAKER_02 |
transcript.pyannote[224].start |
533.11221875 |
transcript.pyannote[224].end |
534.74909375 |
transcript.pyannote[225].speaker |
SPEAKER_02 |
transcript.pyannote[225].start |
536.97659375 |
transcript.pyannote[225].end |
537.66846875 |
transcript.pyannote[226].speaker |
SPEAKER_02 |
transcript.pyannote[226].start |
538.41096875 |
transcript.pyannote[226].end |
538.98471875 |
transcript.pyannote[227].speaker |
SPEAKER_00 |
transcript.pyannote[227].start |
542.22471875 |
transcript.pyannote[227].end |
545.97096875 |
transcript.pyannote[228].speaker |
SPEAKER_02 |
transcript.pyannote[228].start |
545.66721875 |
transcript.pyannote[228].end |
553.12596875 |
transcript.pyannote[229].speaker |
SPEAKER_02 |
transcript.pyannote[229].start |
553.31159375 |
transcript.pyannote[229].end |
556.14659375 |
transcript.pyannote[230].speaker |
SPEAKER_02 |
transcript.pyannote[230].start |
557.81721875 |
transcript.pyannote[230].end |
559.74096875 |
transcript.pyannote[231].speaker |
SPEAKER_02 |
transcript.pyannote[231].start |
571.65471875 |
transcript.pyannote[231].end |
572.97096875 |
transcript.pyannote[232].speaker |
SPEAKER_02 |
transcript.pyannote[232].start |
573.03846875 |
transcript.pyannote[232].end |
574.77659375 |
transcript.pyannote[233].speaker |
SPEAKER_02 |
transcript.pyannote[233].start |
575.09721875 |
transcript.pyannote[233].end |
576.54846875 |
transcript.pyannote[234].speaker |
SPEAKER_02 |
transcript.pyannote[234].start |
577.59471875 |
transcript.pyannote[234].end |
579.45096875 |
transcript.pyannote[235].speaker |
SPEAKER_02 |
transcript.pyannote[235].start |
580.19346875 |
transcript.pyannote[235].end |
581.52659375 |
transcript.pyannote[236].speaker |
SPEAKER_02 |
transcript.pyannote[236].start |
582.60659375 |
transcript.pyannote[236].end |
584.07471875 |
transcript.pyannote[237].speaker |
SPEAKER_02 |
transcript.pyannote[237].start |
585.91409375 |
transcript.pyannote[237].end |
586.89284375 |
transcript.pyannote[238].speaker |
SPEAKER_02 |
transcript.pyannote[238].start |
587.66909375 |
transcript.pyannote[238].end |
588.63096875 |
transcript.pyannote[239].speaker |
SPEAKER_02 |
transcript.pyannote[239].start |
590.08221875 |
transcript.pyannote[239].end |
591.06096875 |
transcript.pyannote[240].speaker |
SPEAKER_02 |
transcript.pyannote[240].start |
592.46159375 |
transcript.pyannote[240].end |
593.10284375 |
transcript.pyannote[241].speaker |
SPEAKER_02 |
transcript.pyannote[241].start |
595.09409375 |
transcript.pyannote[241].end |
595.44846875 |
transcript.pyannote[242].speaker |
SPEAKER_02 |
transcript.pyannote[242].start |
596.66346875 |
transcript.pyannote[242].end |
597.37221875 |
transcript.pyannote[243].speaker |
SPEAKER_02 |
transcript.pyannote[243].start |
598.48596875 |
transcript.pyannote[243].end |
601.62471875 |
transcript.pyannote[244].speaker |
SPEAKER_02 |
transcript.pyannote[244].start |
601.87784375 |
transcript.pyannote[244].end |
603.00846875 |
transcript.pyannote[245].speaker |
SPEAKER_02 |
transcript.pyannote[245].start |
603.22784375 |
transcript.pyannote[245].end |
603.71721875 |
transcript.pyannote[246].speaker |
SPEAKER_02 |
transcript.pyannote[246].start |
605.96159375 |
transcript.pyannote[246].end |
607.21034375 |
transcript.pyannote[247].speaker |
SPEAKER_02 |
transcript.pyannote[247].start |
609.65721875 |
transcript.pyannote[247].end |
610.31534375 |
transcript.pyannote[248].speaker |
SPEAKER_02 |
transcript.pyannote[248].start |
610.45034375 |
transcript.pyannote[248].end |
610.58534375 |
transcript.pyannote[249].speaker |
SPEAKER_02 |
transcript.pyannote[249].start |
610.83846875 |
transcript.pyannote[249].end |
611.02409375 |
transcript.pyannote[250].speaker |
SPEAKER_02 |
transcript.pyannote[250].start |
611.36159375 |
transcript.pyannote[250].end |
614.07846875 |
transcript.pyannote[251].speaker |
SPEAKER_01 |
transcript.pyannote[251].start |
616.67721875 |
transcript.pyannote[251].end |
621.01409375 |
transcript.pyannote[252].speaker |
SPEAKER_01 |
transcript.pyannote[252].start |
621.72284375 |
transcript.pyannote[252].end |
622.95471875 |
transcript.pyannote[253].speaker |
SPEAKER_02 |
transcript.pyannote[253].start |
621.90846875 |
transcript.pyannote[253].end |
622.71846875 |
transcript.pyannote[254].speaker |
SPEAKER_01 |
transcript.pyannote[254].start |
623.27534375 |
transcript.pyannote[254].end |
626.65034375 |
transcript.pyannote[255].speaker |
SPEAKER_02 |
transcript.pyannote[255].start |
624.03471875 |
transcript.pyannote[255].end |
626.68409375 |
transcript.pyannote[256].speaker |
SPEAKER_01 |
transcript.pyannote[256].start |
628.70909375 |
transcript.pyannote[256].end |
632.86034375 |
transcript.pyannote[257].speaker |
SPEAKER_02 |
transcript.pyannote[257].start |
631.44284375 |
transcript.pyannote[257].end |
635.71221875 |
transcript.pyannote[258].speaker |
SPEAKER_01 |
transcript.pyannote[258].start |
633.55221875 |
transcript.pyannote[258].end |
634.96971875 |
transcript.pyannote[259].speaker |
SPEAKER_02 |
transcript.pyannote[259].start |
635.83034375 |
transcript.pyannote[259].end |
637.55159375 |
transcript.pyannote[260].speaker |
SPEAKER_01 |
transcript.pyannote[260].start |
640.04909375 |
transcript.pyannote[260].end |
640.08284375 |
transcript.pyannote[261].speaker |
SPEAKER_01 |
transcript.pyannote[261].start |
640.99409375 |
transcript.pyannote[261].end |
642.42846875 |
transcript.pyannote[262].speaker |
SPEAKER_01 |
transcript.pyannote[262].start |
642.64784375 |
transcript.pyannote[262].end |
644.77409375 |
transcript.pyannote[263].speaker |
SPEAKER_01 |
transcript.pyannote[263].start |
645.71909375 |
transcript.pyannote[263].end |
647.99721875 |
transcript.pyannote[264].speaker |
SPEAKER_01 |
transcript.pyannote[264].start |
648.63846875 |
transcript.pyannote[264].end |
648.70596875 |
transcript.pyannote[265].speaker |
SPEAKER_02 |
transcript.pyannote[265].start |
648.70596875 |
transcript.pyannote[265].end |
649.65096875 |
transcript.pyannote[266].speaker |
SPEAKER_01 |
transcript.pyannote[266].start |
649.65096875 |
transcript.pyannote[266].end |
649.97159375 |
transcript.pyannote[267].speaker |
SPEAKER_02 |
transcript.pyannote[267].start |
649.97159375 |
transcript.pyannote[267].end |
650.03909375 |
transcript.pyannote[268].speaker |
SPEAKER_01 |
transcript.pyannote[268].start |
650.03909375 |
transcript.pyannote[268].end |
650.62971875 |
transcript.pyannote[269].speaker |
SPEAKER_02 |
transcript.pyannote[269].start |
650.62971875 |
transcript.pyannote[269].end |
650.64659375 |
transcript.pyannote[270].speaker |
SPEAKER_01 |
transcript.pyannote[270].start |
652.58721875 |
transcript.pyannote[270].end |
658.81409375 |
transcript.pyannote[271].speaker |
SPEAKER_02 |
transcript.pyannote[271].start |
660.21471875 |
transcript.pyannote[271].end |
661.22721875 |
transcript.pyannote[272].speaker |
SPEAKER_02 |
transcript.pyannote[272].start |
661.71659375 |
transcript.pyannote[272].end |
662.94846875 |
transcript.pyannote[273].speaker |
SPEAKER_02 |
transcript.pyannote[273].start |
664.26471875 |
transcript.pyannote[273].end |
665.36159375 |
transcript.pyannote[274].speaker |
SPEAKER_02 |
transcript.pyannote[274].start |
665.63159375 |
transcript.pyannote[274].end |
667.45409375 |
transcript.pyannote[275].speaker |
SPEAKER_02 |
transcript.pyannote[275].start |
667.89284375 |
transcript.pyannote[275].end |
669.83346875 |
transcript.pyannote[276].speaker |
SPEAKER_02 |
transcript.pyannote[276].start |
670.49159375 |
transcript.pyannote[276].end |
671.60534375 |
transcript.pyannote[277].speaker |
SPEAKER_02 |
transcript.pyannote[277].start |
672.14534375 |
transcript.pyannote[277].end |
673.93409375 |
transcript.pyannote[278].speaker |
SPEAKER_02 |
transcript.pyannote[278].start |
676.80284375 |
transcript.pyannote[278].end |
677.24159375 |
transcript.pyannote[279].speaker |
SPEAKER_02 |
transcript.pyannote[279].start |
678.13596875 |
transcript.pyannote[279].end |
679.23284375 |
transcript.pyannote[280].speaker |
SPEAKER_02 |
transcript.pyannote[280].start |
679.40159375 |
transcript.pyannote[280].end |
679.77284375 |
transcript.pyannote[281].speaker |
SPEAKER_02 |
transcript.pyannote[281].start |
680.00909375 |
transcript.pyannote[281].end |
681.67971875 |
transcript.pyannote[282].speaker |
SPEAKER_02 |
transcript.pyannote[282].start |
681.96659375 |
transcript.pyannote[282].end |
682.50659375 |
transcript.pyannote[283].speaker |
SPEAKER_02 |
transcript.pyannote[283].start |
682.74284375 |
transcript.pyannote[283].end |
687.92346875 |
transcript.pyannote[284].speaker |
SPEAKER_02 |
transcript.pyannote[284].start |
689.23971875 |
transcript.pyannote[284].end |
691.63596875 |
transcript.pyannote[285].speaker |
SPEAKER_02 |
transcript.pyannote[285].start |
693.32346875 |
transcript.pyannote[285].end |
696.86721875 |
transcript.pyannote[286].speaker |
SPEAKER_02 |
transcript.pyannote[286].start |
697.64346875 |
transcript.pyannote[286].end |
699.17909375 |
transcript.pyannote[287].speaker |
SPEAKER_02 |
transcript.pyannote[287].start |
699.73596875 |
transcript.pyannote[287].end |
701.35596875 |
transcript.pyannote[288].speaker |
SPEAKER_02 |
transcript.pyannote[288].start |
702.31784375 |
transcript.pyannote[288].end |
703.93784375 |
transcript.pyannote[289].speaker |
SPEAKER_02 |
transcript.pyannote[289].start |
704.15721875 |
transcript.pyannote[289].end |
705.22034375 |
transcript.pyannote[290].speaker |
SPEAKER_02 |
transcript.pyannote[290].start |
705.33846875 |
transcript.pyannote[290].end |
706.14846875 |
transcript.pyannote[291].speaker |
SPEAKER_02 |
transcript.pyannote[291].start |
706.43534375 |
transcript.pyannote[291].end |
706.48596875 |
transcript.pyannote[292].speaker |
SPEAKER_01 |
transcript.pyannote[292].start |
706.48596875 |
transcript.pyannote[292].end |
706.53659375 |
transcript.pyannote[293].speaker |
SPEAKER_02 |
transcript.pyannote[293].start |
706.53659375 |
transcript.pyannote[293].end |
707.92034375 |
transcript.pyannote[294].speaker |
SPEAKER_02 |
transcript.pyannote[294].start |
708.47721875 |
transcript.pyannote[294].end |
714.72096875 |
transcript.pyannote[295].speaker |
SPEAKER_02 |
transcript.pyannote[295].start |
714.80534375 |
transcript.pyannote[295].end |
716.39159375 |
transcript.pyannote[296].speaker |
SPEAKER_02 |
transcript.pyannote[296].start |
716.89784375 |
transcript.pyannote[296].end |
721.52159375 |
transcript.pyannote[297].speaker |
SPEAKER_02 |
transcript.pyannote[297].start |
721.94346875 |
transcript.pyannote[297].end |
722.31471875 |
transcript.pyannote[298].speaker |
SPEAKER_02 |
transcript.pyannote[298].start |
723.09096875 |
transcript.pyannote[298].end |
723.56346875 |
transcript.pyannote[299].speaker |
SPEAKER_02 |
transcript.pyannote[299].start |
723.71534375 |
transcript.pyannote[299].end |
725.79096875 |
transcript.pyannote[300].speaker |
SPEAKER_02 |
transcript.pyannote[300].start |
728.52471875 |
transcript.pyannote[300].end |
730.54971875 |
transcript.pyannote[301].speaker |
SPEAKER_02 |
transcript.pyannote[301].start |
730.87034375 |
transcript.pyannote[301].end |
732.60846875 |
transcript.pyannote[302].speaker |
SPEAKER_02 |
transcript.pyannote[302].start |
732.87846875 |
transcript.pyannote[302].end |
733.55346875 |
transcript.pyannote[303].speaker |
SPEAKER_02 |
transcript.pyannote[303].start |
733.89096875 |
transcript.pyannote[303].end |
734.86971875 |
transcript.pyannote[304].speaker |
SPEAKER_02 |
transcript.pyannote[304].start |
737.18159375 |
transcript.pyannote[304].end |
738.88596875 |
transcript.pyannote[305].speaker |
SPEAKER_02 |
transcript.pyannote[305].start |
739.59471875 |
transcript.pyannote[305].end |
744.85971875 |
transcript.pyannote[306].speaker |
SPEAKER_02 |
transcript.pyannote[306].start |
745.72034375 |
transcript.pyannote[306].end |
749.16284375 |
transcript.pyannote[307].speaker |
SPEAKER_02 |
transcript.pyannote[307].start |
750.32721875 |
transcript.pyannote[307].end |
751.25534375 |
transcript.pyannote[308].speaker |
SPEAKER_02 |
transcript.pyannote[308].start |
751.82909375 |
transcript.pyannote[308].end |
752.48721875 |
transcript.pyannote[309].speaker |
SPEAKER_02 |
transcript.pyannote[309].start |
753.92159375 |
transcript.pyannote[309].end |
754.52909375 |
transcript.pyannote[310].speaker |
SPEAKER_02 |
transcript.pyannote[310].start |
755.17034375 |
transcript.pyannote[310].end |
756.21659375 |
transcript.pyannote[311].speaker |
SPEAKER_02 |
transcript.pyannote[311].start |
756.35159375 |
transcript.pyannote[311].end |
756.84096875 |
transcript.pyannote[312].speaker |
SPEAKER_02 |
transcript.pyannote[312].start |
757.12784375 |
transcript.pyannote[312].end |
758.83221875 |
transcript.pyannote[313].speaker |
SPEAKER_02 |
transcript.pyannote[313].start |
759.20346875 |
transcript.pyannote[313].end |
762.66284375 |
transcript.pyannote[314].speaker |
SPEAKER_02 |
transcript.pyannote[314].start |
763.28721875 |
transcript.pyannote[314].end |
764.78909375 |
transcript.pyannote[315].speaker |
SPEAKER_02 |
transcript.pyannote[315].start |
765.49784375 |
transcript.pyannote[315].end |
767.57346875 |
transcript.pyannote[316].speaker |
SPEAKER_02 |
transcript.pyannote[316].start |
767.91096875 |
transcript.pyannote[316].end |
768.77159375 |
transcript.pyannote[317].speaker |
SPEAKER_02 |
transcript.pyannote[317].start |
768.88971875 |
transcript.pyannote[317].end |
770.20596875 |
transcript.pyannote[318].speaker |
SPEAKER_02 |
transcript.pyannote[318].start |
770.61096875 |
transcript.pyannote[318].end |
776.16284375 |
transcript.pyannote[319].speaker |
SPEAKER_00 |
transcript.pyannote[319].start |
776.87159375 |
transcript.pyannote[319].end |
781.86659375 |
transcript.pyannote[320].speaker |
SPEAKER_02 |
transcript.pyannote[320].start |
780.26346875 |
transcript.pyannote[320].end |
780.71909375 |
transcript.pyannote[321].speaker |
SPEAKER_02 |
transcript.pyannote[321].start |
782.18721875 |
transcript.pyannote[321].end |
788.04284375 |
transcript.pyannote[322].speaker |
SPEAKER_00 |
transcript.pyannote[322].start |
782.54159375 |
transcript.pyannote[322].end |
783.13221875 |
transcript.pyannote[323].speaker |
SPEAKER_00 |
transcript.pyannote[323].start |
787.06409375 |
transcript.pyannote[323].end |
792.09284375 |
transcript.pyannote[324].speaker |
SPEAKER_00 |
transcript.pyannote[324].start |
792.49784375 |
transcript.pyannote[324].end |
800.66534375 |
transcript.pyannote[325].speaker |
SPEAKER_02 |
transcript.pyannote[325].start |
792.80159375 |
transcript.pyannote[325].end |
792.97034375 |
transcript.pyannote[326].speaker |
SPEAKER_02 |
transcript.pyannote[326].start |
794.20221875 |
transcript.pyannote[326].end |
794.33721875 |
transcript.pyannote[327].speaker |
SPEAKER_02 |
transcript.pyannote[327].start |
798.92721875 |
transcript.pyannote[327].end |
799.11284375 |
transcript.pyannote[328].speaker |
SPEAKER_02 |
transcript.pyannote[328].start |
799.24784375 |
transcript.pyannote[328].end |
799.83846875 |
transcript.pyannote[329].speaker |
SPEAKER_02 |
transcript.pyannote[329].start |
801.07034375 |
transcript.pyannote[329].end |
803.51721875 |
transcript.pyannote[330].speaker |
SPEAKER_02 |
transcript.pyannote[330].start |
803.88846875 |
transcript.pyannote[330].end |
805.57596875 |
transcript.pyannote[331].speaker |
SPEAKER_02 |
transcript.pyannote[331].start |
805.87971875 |
transcript.pyannote[331].end |
806.38596875 |
transcript.pyannote[332].speaker |
SPEAKER_02 |
transcript.pyannote[332].start |
809.23784375 |
transcript.pyannote[332].end |
810.43596875 |
transcript.pyannote[333].speaker |
SPEAKER_02 |
transcript.pyannote[333].start |
810.97596875 |
transcript.pyannote[333].end |
811.38096875 |
transcript.pyannote[334].speaker |
SPEAKER_02 |
transcript.pyannote[334].start |
812.62971875 |
transcript.pyannote[334].end |
812.84909375 |
transcript.pyannote[335].speaker |
SPEAKER_02 |
transcript.pyannote[335].start |
817.64159375 |
transcript.pyannote[335].end |
818.48534375 |
transcript.pyannote[336].speaker |
SPEAKER_02 |
transcript.pyannote[336].start |
818.67096875 |
transcript.pyannote[336].end |
819.91971875 |
transcript.pyannote[337].speaker |
SPEAKER_02 |
transcript.pyannote[337].start |
820.07159375 |
transcript.pyannote[337].end |
820.22346875 |
transcript.whisperx[0].start |
0.269 |
transcript.whisperx[0].end |
9.685 |
transcript.whisperx[0].text |
莊部長 央行的嚴副總裁以及金管會的彭主委三位長官一起彭主委 嚴副總裁 莊部長來委員好 |
transcript.whisperx[1].start |
12.014 |
transcript.whisperx[1].end |
33.885 |
transcript.whisperx[1].text |
三位長官好 首先當然我要回應要談賴總統昨天突然丟出一個主權基金了這個題目我在幾個禮拜前排過專題報告排過專題報告 央行的立場是很清楚的 原副總裁 |
transcript.whisperx[2].start |
35.086 |
transcript.whisperx[2].end |
45.32 |
transcript.whisperx[2].text |
你們的立場是不反對成立但是呢絕對反對無償使用這個外匯存底這個對法 對 |
transcript.whisperx[3].start |
46.721 |
transcript.whisperx[3].end |
49.925 |
transcript.whisperx[3].text |
理由是因為這個錢不是政府的錢,這個錢是百姓的錢主權基金國家的主權當然是國家的錢去成立的 |
transcript.whisperx[4].start |
65.884 |
transcript.whisperx[4].end |
86.681 |
transcript.whisperx[4].text |
這裡面當然有人提到什麼挪威啦這個中東那些的殘留國家的主持基金可是基本上來講央行的態度比較譬如說是新加坡韓國的模式對吧我們是建議參考建議參考嘛建議參考新加坡韓國那就是政府出錢 |
transcript.whisperx[5].start |
88.13 |
transcript.whisperx[5].end |
114.231 |
transcript.whisperx[5].text |
對阿政府出錢所以這樣一來的話政府出錢那就財政部啦來莊部長是不是所以剛聽你對前面兩位委員的回答你講起話來這個哇很流利阿很流暢阿是不是準備挑起來了你就變成負責單位啦財政部就負責單位負責主權基金是不是對於主權基金未來如何的 |
transcript.whisperx[6].start |
115.052 |
transcript.whisperx[6].end |
122.258 |
transcript.whisperx[6].text |
詳細的規劃跟制度在建立行政院會邀集相關部會來做討論對我知道但是如果行政院要我當主管單位你就一間挑起來了責無旁貸可以這樣講嗎我想在性質上應該是不太一樣的財政部當然對於裁員的籌措是責無旁貸 |
transcript.whisperx[7].start |
134.528 |
transcript.whisperx[7].end |
158.519 |
transcript.whisperx[7].text |
那對於未來管理這個基金是由哪一個部會來做的話我想行政院會詳細的一個規劃跟討論管理有沒有修專法嘛但是籌措是財政部這沒錯吧財源的籌措當然是財政部的籌措我要請教這個嚴副總裁央郎適不適合你運不易當主管單位 |
transcript.whisperx[8].start |
161.684 |
transcript.whisperx[8].end |
187.115 |
transcript.whisperx[8].text |
主權基金如果成立的話總統就要成立了報告委員因為我們的外匯管理資產外匯存體的管理和主權基金的管理是完全是兩所以我覺得這個不應該由央行去搞央行不適合啦本來就央行就不適合啦來來來先不要跑先不要跑你不要急著走啊我們都沒問題啊 |
transcript.whisperx[9].start |
190.241 |
transcript.whisperx[9].end |
191.464 |
transcript.whisperx[9].text |
來 請問鴨王現在有沒有 |
transcript.whisperx[10].start |
192.506 |
transcript.whisperx[10].end |
207.538 |
transcript.whisperx[10].text |
把二二存體委外代曹有沒有有我們1990年代初期就開始一直都有到現在還有現在多少呢114年預估2.25%委外去年2.25%委外實際是1.87%結果呢績效都比你們差嘛對不對 |
transcript.whisperx[11].start |
219.98 |
transcript.whisperx[11].end |
242.482 |
transcript.whisperx[11].text |
那個報告委員 委外操作其實我們一方面是學習新的信用商品的操作另外一個也可以藉這個委外操作去學習很多先進的資產管理的東西你要講啊 我要問你就是委外操作的錢那個return那個報酬是不是比你自己操作的差我問你這個 |
transcript.whisperx[12].start |
243.603 |
transcript.whisperx[12].end |
261.516 |
transcript.whisperx[12].text |
沒有,我們有...可能不能夠由一兩年的資料去看,我們如果看...沒有沒有,我們看過去十年或二十年,其實委外操作的績效還是有它的參考價值的 |
transcript.whisperx[13].start |
263.393 |
transcript.whisperx[13].end |
292.244 |
transcript.whisperx[13].text |
也比央行自己操作好嗎這個其實就是回答您的問題就是其實每年度會有差異啦這幾年都不好啦這幾年度這三年都不好啦所以我們也把有一些經營不好的那個委外操作的把它收回來我聽你講話你都不會接我的意思就是你央行自己做還比委外別人來的好對不對你說不要委外這個東西就是要大家不要打你的主意啦 |
transcript.whisperx[14].start |
293.104 |
transcript.whisperx[14].end |
299.726 |
transcript.whisperx[14].text |
你來自己做還比較好,你聽不到還在那裡散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散散� |
transcript.whisperx[15].start |
323.015 |
transcript.whisperx[15].end |
338.747 |
transcript.whisperx[15].text |
那來來來就請教部長啊因為今天國安會沒有來其實就是兩個單位啦不然財政部不然就國安會可是國安會國發基金啊這到目前為止都虧損沒累啊做啥料啥做到處啥料啥 |
transcript.whisperx[16].start |
339.71 |
transcript.whisperx[16].end |
355.681 |
transcript.whisperx[16].text |
對不對 所以看起來是你就比較適合然後我們來看喔你先不要否定我 過兩天就是你啦跟你講 你就跑不掉了啦你有沒有想過 外界最擔心的是什麼 |
transcript.whisperx[17].start |
357.171 |
transcript.whisperx[17].end |
372.316 |
transcript.whisperx[17].text |
外界最擔心的就是主權基金又變成如果你那個中間設計的不好又開始變成達政第二外界擔心這個啦達政 你知道達政嗎 |
transcript.whisperx[18].start |
374.57 |
transcript.whisperx[18].end |
389.854 |
transcript.whisperx[18].text |
我覺得委員當然是考量的就是說未來在投資的部分人模不章啊裡面通通是有心人在那裡亂搞上下其所怕的是這個啦那誰要扛責任啊問題是這樣子的這個問題出問題誰扛 請問部長在制度設計上我想應該要去考量的這個要規範清楚喔規範清楚喔 這個 |
transcript.whisperx[19].start |
404.52 |
transcript.whisperx[19].end |
409.604 |
transcript.whisperx[19].text |
請教部長啊 你這次是去米蘭參加ADB嘛 對不對韓國的財政部副部長公開說韓國財政部副部長公開說美國的代表美國財政部代表有跟大家講關稅匯率的問題請問美國的代表有沒有跟你講匯率的問題沒有 |
transcript.whisperx[20].start |
433.38 |
transcript.whisperx[20].end |
460.947 |
transcript.whisperx[20].text |
沒有 央行代表有去央行央行是有代表去 對 沒有錯有沒有跟央行代表講這個我並不清楚央行代表我沒有收到這個訊息 我也不知道好 所以你也不知道 讓各位知道川普2月份的時候提到用關稅成立主權基金 |
transcript.whisperx[21].start |
462.205 |
transcript.whisperx[21].end |
479.118 |
transcript.whisperx[21].text |
所以這個某種程度是Echo我剛才論點的Echo這個央行的態度要用自己的錢不是外匯存體的錢因為關稅收進來變美國的錢用自己的錢去成立主權基金 |
transcript.whisperx[22].start |
481.026 |
transcript.whisperx[22].end |
499.616 |
transcript.whisperx[22].text |
財政部要求說你要不然就是發債要不然就是發債而且現在這個時機丟出來賴總統丟出來外界高度質疑剛才這個民進黨執政黨的委員來講啊擴大投資美國啊這不是外界擔心的啊錢送美國啊 |
transcript.whisperx[23].start |
501.236 |
transcript.whisperx[23].end |
515.53 |
transcript.whisperx[23].text |
執政黨委員都這樣講啦講到我們的心坎處啊為什麼這個時候提出來現在就大放送給美國就是這樣啦不然突然再講一個主權基金那個記憶果這個東西央行擋了這麼久 |
transcript.whisperx[24].start |
518.727 |
transcript.whisperx[24].end |
534.38 |
transcript.whisperx[24].text |
講了這麼久 還在討論討論討論 噢 蹦出來了為什麼 因為關稅談判在即啊賴總統急著把錢要送給美國啦就是這樣而已啦 你看好了大舉投資美國 幾位長官 |
transcript.whisperx[25].start |
542.504 |
transcript.whisperx[25].end |
555.568 |
transcript.whisperx[25].text |
未來主權基金怎麼樣的投資都還要再規劃所以我看就知道了嘛 莊部長一路就要跳起來了嘛好 那我現在請時間暫停請八位光谷的董事長過來好嗎 |
transcript.whisperx[26].start |
571.701 |
transcript.whisperx[26].end |
583.824 |
transcript.whisperx[26].text |
我是請教各位啊 各位動作快一點 因為時間怕影響下面的委員我只問一個簡單的問題四月二號對等關稅之後請問各行庫有沒有賣美債 有沒有有的舉手有的舉手啊 |
transcript.whisperx[27].start |
598.533 |
transcript.whisperx[27].end |
603.437 |
transcript.whisperx[27].text |
在這裡不能說的話 我覺得你也不要講話舉手就好了有沒有賣美債 有沒有沒有賣美債的舉手啊怎麼會這個趙鋒 董董兩個都沒有舉手消落啦報告委員因為這個教育的數字我必須要再去查一下我不確定印象都沒有印象我不確定後面那個舉手的是哪一家 |
transcript.whisperx[28].start |
628.595 |
transcript.whisperx[28].end |
650.155 |
transcript.whisperx[28].text |
那個 彰化銀行我們有適度做一些調解適度做一些調解來 我要請教央行的副總裁有沒有賣美債 有沒有那個 報告委員因為我們的那個資金操作我們隨時都會有買有賣的情形Net Net Net Net |
transcript.whisperx[29].start |
652.622 |
transcript.whisperx[29].end |
673.775 |
transcript.whisperx[29].text |
那個報告委員因為我今天準備的是房地產所以我沒有特別去記那個數如果事後我可以提供給您參考我所知道啦那可是沒有啦那可是沒有啦原本沒賣的幾乎沒有啦原本幾乎沒有動啦其他的行戶幾乎都有賣啦對吧 |
transcript.whisperx[30].start |
678.191 |
transcript.whisperx[30].end |
701.07 |
transcript.whisperx[30].text |
你們回去查一下 之後給你們報告好不好這個我要提的東西就是現在美債被穆迪來嫁了我就請教金管會的評組委啊現在因為這個主要影響最大是壽星公司啦IFRS17本來預定明年 |
transcript.whisperx[31].start |
702.766 |
transcript.whisperx[31].end |
725.541 |
transcript.whisperx[31].text |
試用上路嘛對不對是的會不會影響目前沒有這個規劃沒有影響小燈姐你不要急嘛前面沒有拖很久啦我都讓你拖很久我都讓你拖很久我讓莊家斌拖了二十分鐘咧不要這樣急嘛這個沒有問題好幾位董事長可以回去了齁 |
transcript.whisperx[32].start |
728.564 |
transcript.whisperx[32].end |
734.509 |
transcript.whisperx[32].text |
最後一個 財政部長留下來就好了因為今天主題要問一下主委可以回去了主任財政部長房屋稅2.0從居住市值變成社級造成了很像東非的動物大遷徙因為比如說 |
transcript.whisperx[33].start |
754.216 |
transcript.whisperx[33].end |
775.938 |
transcript.whisperx[33].text |
張三房子一棟車子 車庫一戈不同的群莊結果就要課不同的稅懲罰單身嘛你們現在七百多萬單一的資用的稅已經交了可是兩百多萬的各種樣態財政部等你們寒市你們什麼時候寒市可以出來 |
transcript.whisperx[34].start |
778.144 |
transcript.whisperx[34].end |
803.36 |
transcript.whisperx[34].text |
單獨這個部分這個禮拜就一定會出來這個禮拜出來好喔這個禮拜一定會出來你所得稅可以延到六月底你為什麼黃稅這個亂象乾脆延到六月底啊如果要有更正稅單這種情況的話繳款期限都會往後延的可以延到六月底這個部分各地方我們在發單的時候他看他發單的時候他就會往後延好 謝謝是我沒有超過五分鐘啦你那個莊嘉賓超好啦 謝謝來謝謝 |
transcript.whisperx[35].start |
809.675 |
transcript.whisperx[35].end |
811.136 |
transcript.whisperx[35].text |
這個我拿下去好 現在請我們請郭國麟 |