IVOD_ID |
161966 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/161966 |
日期 |
2025-05-28 |
會議資料.會議代碼 |
委員會-11-3-20-14 |
會議資料.會議代碼:str |
第11屆第3會期財政委員會第14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 |
14 |
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14次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-05-28T09:54:06+08:00 |
結束時間 |
2025-05-28T10:07:54+08:00 |
影片長度 |
00:13:48 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/75aba70f567c6f244e00caa42d581c06afe3e41e2f2b0d30b291a8f6a096732ceabdaf21c288ba395ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
賴士葆 |
委員發言時間 |
09:54:06 - 10:07:54 |
會議時間 |
2025-05-28T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期財政委員會第14次全體委員會議(事由:一、審查「國際金融業務條例」8案:
(一) 本院委員沈發惠等18人、委員鍾佳濱等17人分別擬具「國際金融業務條例第十三條、第二十二條之七及第二十二條之十六條文修正草案」等2案。
(二) 行政院函請審議、本院委員李坤城等20人、委員陳菁徽等16人、委員郭國文等19人、委員羅廷瑋等17人、委員陳玉珍等16人分別擬具「國際金融業務條例第二十二條之十六條文修正草案」等6案。【本院委員陳玉珍等16人提案如經院會復議,本次會議不予審查】
二、審查「證券投資人及期貨交易人保護法」9案:
(一) 行政院函請審議、本院委員鍾佳濱等20人、委員李坤城等19人、委員沈發惠等18人分別擬具「證券投資人及期貨交易人保護法部分條文修正草案」等4案。
(二) 本院委員林楚茵等17人、委員王鴻薇等19人、委員郭國文等18人、委員賴士葆等32人分別擬具「證券投資人及期貨交易人保護法第十條之一條文修正草案」等4案。【本院委員賴士葆等32人提案如經院會復議,本次會議不予審查】
(三) 本院委員林思銘等18人擬具「證券投資人及期貨交易人保護法第十條之一及第二十條條文修正草案」案。【本案須經各黨團簽署不復議同意書】
【5月28日及29日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
0.46971875 |
transcript.pyannote[0].end |
3.62534375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
4.23284375 |
transcript.pyannote[1].end |
5.76846875 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
6.40971875 |
transcript.pyannote[2].end |
6.79784375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
7.27034375 |
transcript.pyannote[3].end |
8.36721875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
8.92409375 |
transcript.pyannote[4].end |
10.07159375 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
10.24034375 |
transcript.pyannote[5].end |
10.27409375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
10.27409375 |
transcript.pyannote[6].end |
12.53534375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
13.80096875 |
transcript.pyannote[7].end |
14.61096875 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
14.91471875 |
transcript.pyannote[8].end |
16.58534375 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
15.20159375 |
transcript.pyannote[9].end |
15.89346875 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
18.00284375 |
transcript.pyannote[10].end |
22.12034375 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
21.34409375 |
transcript.pyannote[11].end |
22.52534375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
22.52534375 |
transcript.pyannote[12].end |
27.50346875 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
22.54221875 |
transcript.pyannote[13].end |
22.66034375 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
25.59659375 |
transcript.pyannote[14].end |
25.91721875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
28.29659375 |
transcript.pyannote[15].end |
32.49846875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
32.54909375 |
transcript.pyannote[16].end |
38.53971875 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
36.90284375 |
transcript.pyannote[17].end |
42.06659375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
39.56909375 |
transcript.pyannote[18].end |
40.58159375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
41.00346875 |
transcript.pyannote[19].end |
44.66534375 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
44.66534375 |
transcript.pyannote[20].end |
46.70721875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
46.06596875 |
transcript.pyannote[21].end |
46.08284375 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
46.20096875 |
transcript.pyannote[22].end |
46.25159375 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
46.70721875 |
transcript.pyannote[23].end |
47.80409375 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
46.72409375 |
transcript.pyannote[24].end |
47.48346875 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
47.80409375 |
transcript.pyannote[25].end |
47.92221875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
47.92221875 |
transcript.pyannote[26].end |
50.55471875 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
47.97284375 |
transcript.pyannote[27].end |
50.99346875 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
51.55034375 |
transcript.pyannote[28].end |
51.56721875 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
51.56721875 |
transcript.pyannote[29].end |
51.58409375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
51.58409375 |
transcript.pyannote[30].end |
51.66846875 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
51.66846875 |
transcript.pyannote[31].end |
51.97221875 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
51.97221875 |
transcript.pyannote[32].end |
52.05659375 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
52.46159375 |
transcript.pyannote[33].end |
52.51221875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
52.51221875 |
transcript.pyannote[34].end |
54.38534375 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
52.52909375 |
transcript.pyannote[35].end |
53.54159375 |
transcript.pyannote[36].speaker |
SPEAKER_02 |
transcript.pyannote[36].start |
54.38534375 |
transcript.pyannote[36].end |
59.04284375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
56.83221875 |
transcript.pyannote[37].end |
57.08534375 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
59.61659375 |
transcript.pyannote[38].end |
63.04221875 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
63.31221875 |
transcript.pyannote[39].end |
63.71721875 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
63.98721875 |
transcript.pyannote[40].end |
66.02909375 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
66.02909375 |
transcript.pyannote[41].end |
66.43409375 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
66.43409375 |
transcript.pyannote[42].end |
66.45096875 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
67.54784375 |
transcript.pyannote[43].end |
67.56471875 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
67.56471875 |
transcript.pyannote[44].end |
69.10034375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
69.89346875 |
transcript.pyannote[45].end |
70.07909375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
70.53471875 |
transcript.pyannote[46].end |
77.01471875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
77.60534375 |
transcript.pyannote[47].end |
95.35784375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
77.84159375 |
transcript.pyannote[48].end |
78.87096875 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
79.79909375 |
transcript.pyannote[49].end |
81.18284375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
83.29221875 |
transcript.pyannote[50].end |
83.96721875 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
93.36659375 |
transcript.pyannote[51].end |
95.30721875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
95.81346875 |
transcript.pyannote[52].end |
95.86409375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
95.86409375 |
transcript.pyannote[53].end |
95.88096875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
95.88096875 |
transcript.pyannote[54].end |
95.99909375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
96.43784375 |
transcript.pyannote[55].end |
102.09096875 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
102.39471875 |
transcript.pyannote[56].end |
103.01909375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
103.79534375 |
transcript.pyannote[57].end |
103.96409375 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
103.96409375 |
transcript.pyannote[58].end |
105.46596875 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
105.55034375 |
transcript.pyannote[59].end |
107.69346875 |
transcript.pyannote[60].speaker |
SPEAKER_02 |
transcript.pyannote[60].start |
108.03096875 |
transcript.pyannote[60].end |
108.06471875 |
transcript.pyannote[61].speaker |
SPEAKER_02 |
transcript.pyannote[61].start |
108.09846875 |
transcript.pyannote[61].end |
109.75221875 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
109.93784375 |
transcript.pyannote[62].end |
112.06409375 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
110.19096875 |
transcript.pyannote[63].end |
111.22034375 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
111.30471875 |
transcript.pyannote[64].end |
111.32159375 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
111.50721875 |
transcript.pyannote[65].end |
111.76034375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
112.06409375 |
transcript.pyannote[66].end |
112.11471875 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
112.11471875 |
transcript.pyannote[67].end |
112.28346875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
112.28346875 |
transcript.pyannote[68].end |
112.38471875 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
112.38471875 |
transcript.pyannote[69].end |
153.17159375 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
112.40159375 |
transcript.pyannote[70].end |
114.22409375 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
114.44346875 |
transcript.pyannote[71].end |
114.84846875 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
115.27034375 |
transcript.pyannote[72].end |
115.96221875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
148.21034375 |
transcript.pyannote[73].end |
151.93971875 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
153.72846875 |
transcript.pyannote[74].end |
155.80409375 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
156.93471875 |
transcript.pyannote[75].end |
158.30159375 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
159.43221875 |
transcript.pyannote[76].end |
167.29596875 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
166.97534375 |
transcript.pyannote[77].end |
167.24534375 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
167.29596875 |
transcript.pyannote[78].end |
167.59971875 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
167.59971875 |
transcript.pyannote[79].end |
167.97096875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
167.97096875 |
transcript.pyannote[80].end |
168.05534375 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
168.05534375 |
transcript.pyannote[81].end |
168.17346875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
168.17346875 |
transcript.pyannote[82].end |
168.24096875 |
transcript.pyannote[83].speaker |
SPEAKER_02 |
transcript.pyannote[83].start |
168.24096875 |
transcript.pyannote[83].end |
168.27471875 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
168.27471875 |
transcript.pyannote[84].end |
168.91596875 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
168.30846875 |
transcript.pyannote[85].end |
175.09221875 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
175.36221875 |
transcript.pyannote[86].end |
181.21784375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
176.76284375 |
transcript.pyannote[87].end |
180.84659375 |
transcript.pyannote[88].speaker |
SPEAKER_02 |
transcript.pyannote[88].start |
181.62284375 |
transcript.pyannote[88].end |
189.48659375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
183.73221875 |
transcript.pyannote[89].end |
183.76596875 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
189.97596875 |
transcript.pyannote[90].end |
197.19846875 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
194.68409375 |
transcript.pyannote[91].end |
195.00471875 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
195.74721875 |
transcript.pyannote[92].end |
204.67409375 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
203.52659375 |
transcript.pyannote[93].end |
205.04534375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
205.04534375 |
transcript.pyannote[94].end |
208.62284375 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
205.09596875 |
transcript.pyannote[95].end |
205.28159375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
209.11221875 |
transcript.pyannote[96].end |
209.43284375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
210.04034375 |
transcript.pyannote[97].end |
212.13284375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
212.28471875 |
transcript.pyannote[98].end |
212.57159375 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
212.72346875 |
transcript.pyannote[99].end |
214.76534375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
214.98471875 |
transcript.pyannote[100].end |
216.57096875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
217.16159375 |
transcript.pyannote[101].end |
218.03909375 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
218.68034375 |
transcript.pyannote[102].end |
219.86159375 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
220.53659375 |
transcript.pyannote[103].end |
222.35909375 |
transcript.pyannote[104].speaker |
SPEAKER_02 |
transcript.pyannote[104].start |
222.35909375 |
transcript.pyannote[104].end |
253.52721875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
230.66159375 |
transcript.pyannote[105].end |
230.93159375 |
transcript.pyannote[106].speaker |
SPEAKER_02 |
transcript.pyannote[106].start |
254.59034375 |
transcript.pyannote[106].end |
270.73971875 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
263.01096875 |
transcript.pyannote[107].end |
264.44534375 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
269.30534375 |
transcript.pyannote[108].end |
275.70096875 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
274.43534375 |
transcript.pyannote[109].end |
276.52784375 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
276.52784375 |
transcript.pyannote[110].end |
281.33721875 |
transcript.pyannote[111].speaker |
SPEAKER_02 |
transcript.pyannote[111].start |
276.57846875 |
transcript.pyannote[111].end |
278.21534375 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
281.53971875 |
transcript.pyannote[112].end |
282.33284375 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
282.53534375 |
transcript.pyannote[113].end |
282.56909375 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
283.64909375 |
transcript.pyannote[114].end |
287.93534375 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
288.42471875 |
transcript.pyannote[115].end |
290.02784375 |
transcript.pyannote[116].speaker |
SPEAKER_02 |
transcript.pyannote[116].start |
290.16284375 |
transcript.pyannote[116].end |
291.98534375 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
290.50034375 |
transcript.pyannote[117].end |
291.78284375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
291.79971875 |
transcript.pyannote[118].end |
292.55909375 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
292.40721875 |
transcript.pyannote[119].end |
292.87971875 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
292.87971875 |
transcript.pyannote[120].end |
294.88784375 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
295.36034375 |
transcript.pyannote[121].end |
296.35596875 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
296.55846875 |
transcript.pyannote[122].end |
298.31346875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
298.73534375 |
transcript.pyannote[123].end |
301.16534375 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
301.50284375 |
transcript.pyannote[124].end |
303.07221875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
303.10596875 |
transcript.pyannote[125].end |
303.13971875 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
303.15659375 |
transcript.pyannote[126].end |
304.96221875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
305.73846875 |
transcript.pyannote[127].end |
306.49784375 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
306.49784375 |
transcript.pyannote[128].end |
306.58221875 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
306.63284375 |
transcript.pyannote[129].end |
375.78659375 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
320.36909375 |
transcript.pyannote[130].end |
320.79096875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
336.16409375 |
transcript.pyannote[131].end |
337.64909375 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
351.57096875 |
transcript.pyannote[132].end |
353.00534375 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
353.62971875 |
transcript.pyannote[133].end |
355.24971875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
358.03409375 |
transcript.pyannote[134].end |
358.10159375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
358.10159375 |
transcript.pyannote[135].end |
359.23221875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
359.23221875 |
transcript.pyannote[136].end |
359.28284375 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
373.94721875 |
transcript.pyannote[137].end |
373.99784375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
373.99784375 |
transcript.pyannote[138].end |
374.36909375 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
374.36909375 |
transcript.pyannote[139].end |
374.40284375 |
transcript.pyannote[140].speaker |
SPEAKER_02 |
transcript.pyannote[140].start |
376.19159375 |
transcript.pyannote[140].end |
380.74784375 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
381.37221875 |
transcript.pyannote[141].end |
388.66221875 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
386.90721875 |
transcript.pyannote[142].end |
387.37971875 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
388.66221875 |
transcript.pyannote[143].end |
388.67909375 |
transcript.pyannote[144].speaker |
SPEAKER_02 |
transcript.pyannote[144].start |
389.20221875 |
transcript.pyannote[144].end |
389.99534375 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
389.99534375 |
transcript.pyannote[145].end |
390.14721875 |
transcript.pyannote[146].speaker |
SPEAKER_02 |
transcript.pyannote[146].start |
390.14721875 |
transcript.pyannote[146].end |
390.19784375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
390.19784375 |
transcript.pyannote[147].end |
390.21471875 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
390.21471875 |
transcript.pyannote[148].end |
390.24846875 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
390.24846875 |
transcript.pyannote[149].end |
390.65346875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
390.97409375 |
transcript.pyannote[150].end |
394.66971875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
394.93971875 |
transcript.pyannote[151].end |
400.01909375 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
399.14159375 |
transcript.pyannote[152].end |
407.22471875 |
transcript.pyannote[153].speaker |
SPEAKER_02 |
transcript.pyannote[153].start |
407.27534375 |
transcript.pyannote[153].end |
417.16409375 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
416.10096875 |
transcript.pyannote[154].end |
417.23159375 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
417.90659375 |
transcript.pyannote[155].end |
424.72409375 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
425.58471875 |
transcript.pyannote[156].end |
429.02721875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
429.97221875 |
transcript.pyannote[157].end |
430.69784375 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
430.93409375 |
transcript.pyannote[158].end |
432.31784375 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
433.19534375 |
transcript.pyannote[159].end |
433.53284375 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
434.07284375 |
transcript.pyannote[160].end |
436.14846875 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
437.22846875 |
transcript.pyannote[161].end |
438.02159375 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
438.67971875 |
transcript.pyannote[162].end |
440.83971875 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
441.26159375 |
transcript.pyannote[163].end |
443.21909375 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
443.47221875 |
transcript.pyannote[164].end |
444.41721875 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
445.14284375 |
transcript.pyannote[165].end |
446.44221875 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
446.54346875 |
transcript.pyannote[166].end |
447.48846875 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
448.23096875 |
transcript.pyannote[167].end |
450.37409375 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
450.77909375 |
transcript.pyannote[168].end |
452.92221875 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
453.24284375 |
transcript.pyannote[169].end |
455.23409375 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
455.82471875 |
transcript.pyannote[170].end |
456.90471875 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
457.17471875 |
transcript.pyannote[171].end |
461.89971875 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
462.38909375 |
transcript.pyannote[172].end |
463.09784375 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
463.60409375 |
transcript.pyannote[173].end |
466.38846875 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
466.57409375 |
transcript.pyannote[174].end |
467.68784375 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
468.34596875 |
transcript.pyannote[175].end |
509.04846875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
477.74534375 |
transcript.pyannote[176].end |
479.16284375 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
507.24284375 |
transcript.pyannote[177].end |
509.09909375 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
510.48284375 |
transcript.pyannote[178].end |
514.14471875 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
514.51596875 |
transcript.pyannote[179].end |
516.23721875 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
517.18221875 |
transcript.pyannote[180].end |
520.79346875 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
521.80596875 |
transcript.pyannote[181].end |
524.30346875 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
524.97846875 |
transcript.pyannote[182].end |
525.95721875 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
526.39596875 |
transcript.pyannote[183].end |
527.22284375 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
527.89784375 |
transcript.pyannote[184].end |
528.35346875 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
528.96096875 |
transcript.pyannote[185].end |
530.29409375 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
530.86784375 |
transcript.pyannote[186].end |
531.34034375 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
531.47534375 |
transcript.pyannote[187].end |
533.19659375 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
534.00659375 |
transcript.pyannote[188].end |
534.83346875 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
535.05284375 |
transcript.pyannote[189].end |
535.40721875 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
535.54221875 |
transcript.pyannote[190].end |
536.20034375 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
536.45346875 |
transcript.pyannote[191].end |
537.83721875 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
538.56284375 |
transcript.pyannote[192].end |
542.34284375 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
542.83221875 |
transcript.pyannote[193].end |
543.92909375 |
transcript.pyannote[194].speaker |
SPEAKER_02 |
transcript.pyannote[194].start |
544.38471875 |
transcript.pyannote[194].end |
544.92471875 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
544.78971875 |
transcript.pyannote[195].end |
546.08909375 |
transcript.pyannote[196].speaker |
SPEAKER_02 |
transcript.pyannote[196].start |
546.57846875 |
transcript.pyannote[196].end |
548.89034375 |
transcript.pyannote[197].speaker |
SPEAKER_02 |
transcript.pyannote[197].start |
549.34596875 |
transcript.pyannote[197].end |
552.97409375 |
transcript.pyannote[198].speaker |
SPEAKER_02 |
transcript.pyannote[198].start |
553.41284375 |
transcript.pyannote[198].end |
563.74034375 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
553.56471875 |
transcript.pyannote[199].end |
554.07096875 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
559.45409375 |
transcript.pyannote[200].end |
559.82534375 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
561.52971875 |
transcript.pyannote[201].end |
563.63909375 |
transcript.pyannote[202].speaker |
SPEAKER_01 |
transcript.pyannote[202].start |
563.74034375 |
transcript.pyannote[202].end |
563.97659375 |
transcript.pyannote[203].speaker |
SPEAKER_02 |
transcript.pyannote[203].start |
563.97659375 |
transcript.pyannote[203].end |
564.06096875 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
564.06096875 |
transcript.pyannote[204].end |
564.78659375 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
565.29284375 |
transcript.pyannote[205].end |
565.91721875 |
transcript.pyannote[206].speaker |
SPEAKER_02 |
transcript.pyannote[206].start |
565.91721875 |
transcript.pyannote[206].end |
565.93409375 |
transcript.pyannote[207].speaker |
SPEAKER_01 |
transcript.pyannote[207].start |
565.93409375 |
transcript.pyannote[207].end |
566.01846875 |
transcript.pyannote[208].speaker |
SPEAKER_02 |
transcript.pyannote[208].start |
566.01846875 |
transcript.pyannote[208].end |
566.81159375 |
transcript.pyannote[209].speaker |
SPEAKER_01 |
transcript.pyannote[209].start |
566.81159375 |
transcript.pyannote[209].end |
567.48659375 |
transcript.pyannote[210].speaker |
SPEAKER_02 |
transcript.pyannote[210].start |
567.48659375 |
transcript.pyannote[210].end |
567.63846875 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
567.63846875 |
transcript.pyannote[211].end |
567.70596875 |
transcript.pyannote[212].speaker |
SPEAKER_02 |
transcript.pyannote[212].start |
567.70596875 |
transcript.pyannote[212].end |
567.73971875 |
transcript.pyannote[213].speaker |
SPEAKER_01 |
transcript.pyannote[213].start |
567.73971875 |
transcript.pyannote[213].end |
567.97596875 |
transcript.pyannote[214].speaker |
SPEAKER_02 |
transcript.pyannote[214].start |
567.97596875 |
transcript.pyannote[214].end |
578.18534375 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
577.24034375 |
transcript.pyannote[215].end |
582.37034375 |
transcript.pyannote[216].speaker |
SPEAKER_01 |
transcript.pyannote[216].start |
582.72471875 |
transcript.pyannote[216].end |
586.82534375 |
transcript.pyannote[217].speaker |
SPEAKER_01 |
transcript.pyannote[217].start |
587.02784375 |
transcript.pyannote[217].end |
593.20409375 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
593.27159375 |
transcript.pyannote[218].end |
598.03034375 |
transcript.pyannote[219].speaker |
SPEAKER_01 |
transcript.pyannote[219].start |
598.08096875 |
transcript.pyannote[219].end |
599.44784375 |
transcript.pyannote[220].speaker |
SPEAKER_01 |
transcript.pyannote[220].start |
602.46846875 |
transcript.pyannote[220].end |
602.92409375 |
transcript.pyannote[221].speaker |
SPEAKER_01 |
transcript.pyannote[221].start |
603.93659375 |
transcript.pyannote[221].end |
605.18534375 |
transcript.pyannote[222].speaker |
SPEAKER_02 |
transcript.pyannote[222].start |
605.50596875 |
transcript.pyannote[222].end |
606.67034375 |
transcript.pyannote[223].speaker |
SPEAKER_01 |
transcript.pyannote[223].start |
606.95721875 |
transcript.pyannote[223].end |
607.93596875 |
transcript.pyannote[224].speaker |
SPEAKER_01 |
transcript.pyannote[224].start |
608.98221875 |
transcript.pyannote[224].end |
610.73721875 |
transcript.pyannote[225].speaker |
SPEAKER_01 |
transcript.pyannote[225].start |
611.41221875 |
transcript.pyannote[225].end |
615.32721875 |
transcript.pyannote[226].speaker |
SPEAKER_01 |
transcript.pyannote[226].start |
615.63096875 |
transcript.pyannote[226].end |
616.66034375 |
transcript.pyannote[227].speaker |
SPEAKER_01 |
transcript.pyannote[227].start |
617.47034375 |
transcript.pyannote[227].end |
618.09471875 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
618.49971875 |
transcript.pyannote[228].end |
620.11971875 |
transcript.pyannote[229].speaker |
SPEAKER_01 |
transcript.pyannote[229].start |
621.08159375 |
transcript.pyannote[229].end |
622.11096875 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
622.58346875 |
transcript.pyannote[230].end |
623.89971875 |
transcript.pyannote[231].speaker |
SPEAKER_01 |
transcript.pyannote[231].start |
625.24971875 |
transcript.pyannote[231].end |
626.36346875 |
transcript.pyannote[232].speaker |
SPEAKER_02 |
transcript.pyannote[232].start |
625.41846875 |
transcript.pyannote[232].end |
626.32971875 |
transcript.pyannote[233].speaker |
SPEAKER_02 |
transcript.pyannote[233].start |
626.36346875 |
transcript.pyannote[233].end |
629.95784375 |
transcript.pyannote[234].speaker |
SPEAKER_01 |
transcript.pyannote[234].start |
627.89909375 |
transcript.pyannote[234].end |
630.12659375 |
transcript.pyannote[235].speaker |
SPEAKER_02 |
transcript.pyannote[235].start |
630.51471875 |
transcript.pyannote[235].end |
631.03784375 |
transcript.pyannote[236].speaker |
SPEAKER_01 |
transcript.pyannote[236].start |
630.83534375 |
transcript.pyannote[236].end |
631.00409375 |
transcript.pyannote[237].speaker |
SPEAKER_01 |
transcript.pyannote[237].start |
631.03784375 |
transcript.pyannote[237].end |
631.62846875 |
transcript.pyannote[238].speaker |
SPEAKER_02 |
transcript.pyannote[238].start |
631.62846875 |
transcript.pyannote[238].end |
633.99096875 |
transcript.pyannote[239].speaker |
SPEAKER_01 |
transcript.pyannote[239].start |
633.67034375 |
transcript.pyannote[239].end |
645.87096875 |
transcript.pyannote[240].speaker |
SPEAKER_01 |
transcript.pyannote[240].start |
646.37721875 |
transcript.pyannote[240].end |
646.88346875 |
transcript.pyannote[241].speaker |
SPEAKER_01 |
transcript.pyannote[241].start |
647.23784375 |
transcript.pyannote[241].end |
656.16471875 |
transcript.pyannote[242].speaker |
SPEAKER_01 |
transcript.pyannote[242].start |
656.90721875 |
transcript.pyannote[242].end |
657.43034375 |
transcript.pyannote[243].speaker |
SPEAKER_01 |
transcript.pyannote[243].start |
658.07159375 |
transcript.pyannote[243].end |
661.98659375 |
transcript.pyannote[244].speaker |
SPEAKER_01 |
transcript.pyannote[244].start |
662.37471875 |
transcript.pyannote[244].end |
663.28596875 |
transcript.pyannote[245].speaker |
SPEAKER_01 |
transcript.pyannote[245].start |
663.57284375 |
transcript.pyannote[245].end |
664.43346875 |
transcript.pyannote[246].speaker |
SPEAKER_01 |
transcript.pyannote[246].start |
664.65284375 |
transcript.pyannote[246].end |
672.29721875 |
transcript.pyannote[247].speaker |
SPEAKER_01 |
transcript.pyannote[247].start |
672.63471875 |
transcript.pyannote[247].end |
673.37721875 |
transcript.pyannote[248].speaker |
SPEAKER_01 |
transcript.pyannote[248].start |
673.68096875 |
transcript.pyannote[248].end |
674.25471875 |
transcript.pyannote[249].speaker |
SPEAKER_01 |
transcript.pyannote[249].start |
674.91284375 |
transcript.pyannote[249].end |
676.21221875 |
transcript.pyannote[250].speaker |
SPEAKER_01 |
transcript.pyannote[250].start |
676.34721875 |
transcript.pyannote[250].end |
677.24159375 |
transcript.pyannote[251].speaker |
SPEAKER_01 |
transcript.pyannote[251].start |
677.69721875 |
transcript.pyannote[251].end |
678.35534375 |
transcript.pyannote[252].speaker |
SPEAKER_01 |
transcript.pyannote[252].start |
678.50721875 |
transcript.pyannote[252].end |
679.92471875 |
transcript.pyannote[253].speaker |
SPEAKER_01 |
transcript.pyannote[253].start |
679.97534375 |
transcript.pyannote[253].end |
680.02596875 |
transcript.pyannote[254].speaker |
SPEAKER_01 |
transcript.pyannote[254].start |
680.05971875 |
transcript.pyannote[254].end |
681.81471875 |
transcript.pyannote[255].speaker |
SPEAKER_01 |
transcript.pyannote[255].start |
682.11846875 |
transcript.pyannote[255].end |
687.16409375 |
transcript.pyannote[256].speaker |
SPEAKER_01 |
transcript.pyannote[256].start |
688.04159375 |
transcript.pyannote[256].end |
689.39159375 |
transcript.pyannote[257].speaker |
SPEAKER_01 |
transcript.pyannote[257].start |
689.84721875 |
transcript.pyannote[257].end |
690.58971875 |
transcript.pyannote[258].speaker |
SPEAKER_01 |
transcript.pyannote[258].start |
690.70784375 |
transcript.pyannote[258].end |
692.81721875 |
transcript.pyannote[259].speaker |
SPEAKER_02 |
transcript.pyannote[259].start |
693.12096875 |
transcript.pyannote[259].end |
699.70221875 |
transcript.pyannote[260].speaker |
SPEAKER_01 |
transcript.pyannote[260].start |
698.16659375 |
transcript.pyannote[260].end |
700.91721875 |
transcript.pyannote[261].speaker |
SPEAKER_02 |
transcript.pyannote[261].start |
700.91721875 |
transcript.pyannote[261].end |
700.93409375 |
transcript.pyannote[262].speaker |
SPEAKER_02 |
transcript.pyannote[262].start |
700.95096875 |
transcript.pyannote[262].end |
717.87659375 |
transcript.pyannote[263].speaker |
SPEAKER_02 |
transcript.pyannote[263].start |
718.65284375 |
transcript.pyannote[263].end |
719.17596875 |
transcript.pyannote[264].speaker |
SPEAKER_02 |
transcript.pyannote[264].start |
719.66534375 |
transcript.pyannote[264].end |
736.27034375 |
transcript.pyannote[265].speaker |
SPEAKER_01 |
transcript.pyannote[265].start |
735.64596875 |
transcript.pyannote[265].end |
739.08846875 |
transcript.pyannote[266].speaker |
SPEAKER_02 |
transcript.pyannote[266].start |
737.31659375 |
transcript.pyannote[266].end |
738.48096875 |
transcript.pyannote[267].speaker |
SPEAKER_01 |
transcript.pyannote[267].start |
739.74659375 |
transcript.pyannote[267].end |
742.59846875 |
transcript.pyannote[268].speaker |
SPEAKER_01 |
transcript.pyannote[268].start |
743.45909375 |
transcript.pyannote[268].end |
746.14221875 |
transcript.pyannote[269].speaker |
SPEAKER_01 |
transcript.pyannote[269].start |
746.68221875 |
transcript.pyannote[269].end |
751.42409375 |
transcript.pyannote[270].speaker |
SPEAKER_02 |
transcript.pyannote[270].start |
751.42409375 |
transcript.pyannote[270].end |
751.94721875 |
transcript.pyannote[271].speaker |
SPEAKER_01 |
transcript.pyannote[271].start |
752.20034375 |
transcript.pyannote[271].end |
758.66346875 |
transcript.pyannote[272].speaker |
SPEAKER_01 |
transcript.pyannote[272].start |
758.89971875 |
transcript.pyannote[272].end |
763.45596875 |
transcript.pyannote[273].speaker |
SPEAKER_01 |
transcript.pyannote[273].start |
763.54034375 |
transcript.pyannote[273].end |
764.24909375 |
transcript.pyannote[274].speaker |
SPEAKER_01 |
transcript.pyannote[274].start |
764.82284375 |
transcript.pyannote[274].end |
768.60284375 |
transcript.pyannote[275].speaker |
SPEAKER_01 |
transcript.pyannote[275].start |
769.32846875 |
transcript.pyannote[275].end |
771.30284375 |
transcript.pyannote[276].speaker |
SPEAKER_02 |
transcript.pyannote[276].start |
771.79221875 |
transcript.pyannote[276].end |
774.88034375 |
transcript.pyannote[277].speaker |
SPEAKER_01 |
transcript.pyannote[277].start |
774.20534375 |
transcript.pyannote[277].end |
778.74471875 |
transcript.pyannote[278].speaker |
SPEAKER_02 |
transcript.pyannote[278].start |
777.20909375 |
transcript.pyannote[278].end |
779.57159375 |
transcript.pyannote[279].speaker |
SPEAKER_02 |
transcript.pyannote[279].start |
780.38159375 |
transcript.pyannote[279].end |
789.94971875 |
transcript.pyannote[280].speaker |
SPEAKER_01 |
transcript.pyannote[280].start |
789.59534375 |
transcript.pyannote[280].end |
789.62909375 |
transcript.pyannote[281].speaker |
SPEAKER_01 |
transcript.pyannote[281].start |
789.69659375 |
transcript.pyannote[281].end |
813.84471875 |
transcript.pyannote[282].speaker |
SPEAKER_02 |
transcript.pyannote[282].start |
798.50534375 |
transcript.pyannote[282].end |
799.24784375 |
transcript.pyannote[283].speaker |
SPEAKER_02 |
transcript.pyannote[283].start |
814.46909375 |
transcript.pyannote[283].end |
818.28284375 |
transcript.pyannote[284].speaker |
SPEAKER_01 |
transcript.pyannote[284].start |
816.66284375 |
transcript.pyannote[284].end |
816.67971875 |
transcript.pyannote[285].speaker |
SPEAKER_00 |
transcript.pyannote[285].start |
816.67971875 |
transcript.pyannote[285].end |
817.97909375 |
transcript.pyannote[286].speaker |
SPEAKER_00 |
transcript.pyannote[286].start |
818.55284375 |
transcript.pyannote[286].end |
820.59471875 |
transcript.whisperx[0].start |
0.815 |
transcript.whisperx[0].end |
9.759 |
transcript.whisperx[0].text |
謝謝主席 今天去拜這麼多題目我們請彭主委還有護睡署的署長好 請彭主委跟護睡署 宋署長宋署長 謝謝 宋署長先請教那個主委好了你這個前面 肉肉都講一堆好幾個委員的提案 |
transcript.whisperx[1].start |
29.48 |
transcript.whisperx[1].end |
44.407 |
transcript.whisperx[1].text |
國際金融業務等等一堆的提案主要就是我們要打造亞洲資產管理中心給他免稅嘛對不對他原來就有啦 只是說那個期限到了期限到了齁 現在OVU是沒有期限啦 |
transcript.whisperx[2].start |
44.747 |
transcript.whisperx[2].end |
68.997 |
transcript.whisperx[2].text |
OIU是早期是哪期限OIU是117年期限到了就是它在三年後到期OIU呢是今年到期已經到期了今年二月到期希望在年底以前還來得及年底以前什麼不是 它可以追溯因為那個報稅是到明年報好 那我請教那個署長 受署長這樣子稅數有多少啊 |
transcript.whisperx[3].start |
70.589 |
transcript.whisperx[3].end |
94.161 |
transcript.whisperx[3].text |
就是根據稅稅執行評估報告,這是有金管會提供的我記得是金額不大,應該是幾百萬而已因為他們的最初還有所謂最終以及他們用同樣的方式如果要達到效果,他們直接支出需要更多所以你們要建期權 |
transcript.whisperx[4].start |
97.082 |
transcript.whisperx[4].end |
111.447 |
transcript.whisperx[4].text |
樂見其成我們敬表尊重敬表尊重 你們是幾百萬 一百萬 九百萬沒有 主要是跟委員報告 就是過去我們的這裡不算稅喔 這裡是營所稅 營業稅 運挖稅 所得稅 |
transcript.whisperx[5].start |
116.368 |
transcript.whisperx[5].end |
116.588 |
transcript.whisperx[5].text |
規模會誇大多少? |
transcript.whisperx[6].start |
146.674 |
transcript.whisperx[6].end |
174.579 |
transcript.whisperx[6].text |
這部分我們不好預期預期預期 你預期一下我覺得我上次給保險局的一個想法預期漲5倍好不好漲5倍我們給的稅市支出就是未來的估計每年稅損大概是600多萬而已對 漲幾倍業務會漲幾倍如果漲幾倍就非常可觀因為我們去年其實我們總共才多少 |
transcript.whisperx[7].start |
175.478 |
transcript.whisperx[7].end |
180.976 |
transcript.whisperx[7].text |
我們的...我記得是...我記得你很低啊!張哥五倍也差不多啊!張四倍也差不多啊! |
transcript.whisperx[8].start |
182.064 |
transcript.whisperx[8].end |
200.949 |
transcript.whisperx[8].text |
長10倍我覺得假設我們今年 超過10倍如果說以去年那麼低的基期我覺得應該是很有機會 超過20倍如果說以去年那麼低的基期 今年的話因為我們已經公告會開放新的產品 超過20倍啦 這樣稅損我們支持啦稅損省了600億 超過21的規模 不是21啦 好 那個署長可以了 請回 署長請回 |
transcript.whisperx[9].start |
210.311 |
transcript.whisperx[9].end |
219.4 |
transcript.whisperx[9].text |
我們來看 壽險業這波的台幣升值傷害很大它總共你看到的報表 |
transcript.whisperx[10].start |
220.612 |
transcript.whisperx[10].end |
241.522 |
transcript.whisperx[10].text |
他的虧損有多少?受險業其實跟委員報告一下其實很好估計啦我們現在受險業37兆的資金裡面有23兆在海外剩3兆扣掉7兆多是外幣保單不用有匯率的問題裡面大概15兆15兆裡面大概六成避險六成避險除以下就是剩6兆美元 |
transcript.whisperx[11].start |
242.182 |
transcript.whisperx[11].end |
250.735 |
transcript.whisperx[11].text |
就是6兆台幣2000億美元左右所以一塊錢的這樣那個漲跌就是差不多總體約略估計2000億的影響數 |
transcript.whisperx[12].start |
254.619 |
transcript.whisperx[12].end |
278.596 |
transcript.whisperx[12].text |
六兆兩千億 兩千億怎麼算啊六兆等於是兩千億美金 對所以說美金跟台幣差一塊錢差不多 譬如說台幣貶值一塊錢他就 就是未實現損益這樣的話所以剛才原來講的數字差不多就外匯市場差了兩千億 就虧損兩千億對 扣掉了那個外交準備資料我就請問你喔 這個 這個 |
transcript.whisperx[13].start |
284.12 |
transcript.whisperx[13].end |
302.014 |
transcript.whisperx[13].text |
這個公衛啊,他們希望說這裡面計價,RPC的計價,過去都是六月底嘛,一個數字啊,一個點,對不對?現在他們有要求,有拜託,希望能不能用均價,比如說過去的半年內的均價來算,這樣的話,財務報表比較好看一點。 |
transcript.whisperx[14].start |
305.797 |
transcript.whisperx[14].end |
322.463 |
transcript.whisperx[14].text |
你覺得怎麼樣但是柯文報告軍價是一個非常非常中性的做法其實我們以前那個我們現在RBC的股票就是用軍價就是說假設我們市場是緩跌的時候你會覺得軍價有利但是往上走的時候軍價是不利的我想這是一個中性的我現在就問你的立場你贊不贊成軍價我覺得 |
transcript.whisperx[15].start |
323.803 |
transcript.whisperx[15].end |
346.836 |
transcript.whisperx[15].text |
因為昨天在我們的記者會我會表達就是我們要維持市場的穩定是我們很重要特別是我們明年要接新的制度這RBC只剩半年的效期啦RBC接下來就會走入歷史了所以我們RBC走入歷史換成換成新一代清償能力所以我們新的制度所以這部分我們昨天也有對外說我們會會來仔細的思考工會這個東西他們的建議我們以穩定市場 |
transcript.whisperx[16].start |
350.078 |
transcript.whisperx[16].end |
374.734 |
transcript.whisperx[16].text |
順利過渡為優先沒有啦,我聽不懂啦贊成還是反對啦,你們說什麼我覺得這個方向我們已經正在研議中啦贊成什麼時候可以出來這個因為它有一個比如說我們是要半年報嘛所以今年來今年來講的話我們接軌之前最重要的時間點就是6月30號這個半年報的財報因為到12月31號那個點已經要換成新的制度了所以6月30給他 |
transcript.whisperx[17].start |
376.795 |
transcript.whisperx[17].end |
398.789 |
transcript.whisperx[17].text |
6月30號的報表應該就會有這個答案所以現在還不能這樣對 因為現在還要經過工會他要給我們一些的數值但是你傾向於同意可以這麼說好 這個就是說主委的意思傾向於同意那麼可以考慮 不需要丟點就是用平均值 |
transcript.whisperx[18].start |
399.429 |
transcript.whisperx[18].end |
414.965 |
transcript.whisperx[18].text |
為什麼要這樣做?其實就像我們當年當時考慮股價為什麼用在RBC的時候為什麼要用這套制度因為其實真的6月30號那個時間點並不代表它只是一個結帳我們看經常能力是看長期的我覺得這是一個課長思考 |
transcript.whisperx[19].start |
418.092 |
transcript.whisperx[19].end |
434.605 |
transcript.whisperx[19].text |
請教你 今天雖然財政部相關官員國庫署長不在 今天只是負稅署長我就不問他了行政院已經正式的對外講了要設立國家主權基金這個賴總統親自對外宣布的 |
transcript.whisperx[20].start |
437.264 |
transcript.whisperx[20].end |
461.669 |
transcript.whisperx[20].text |
然後呢 因為央行堅持不可以用 無償使用外賣存地所以政運也善於回應了 所以有潮那出錢的人誰出錢 當然財政部 財政部長在這裡的時候他跳起來沒有問題 財政部撿到錢錢 稅收無存幾千億不夠嘛 那幾千億算什麼 你說稅收都來放主權基金 |
transcript.whisperx[21].start |
462.449 |
transcript.whisperx[21].end |
487.632 |
transcript.whisperx[21].text |
一個方式發行主權基金公債這個點是好不好我想剛剛委員提到一個重點其實主權基金這個概念在不同的國家有不同的財源說像最有名的像挪威這是大家都知道它是石油嘛它是因為它開採在北海的石油它所那個財富它把它做成這個那也有人採用公債的方式用債券的方式發行 |
transcript.whisperx[22].start |
488.092 |
transcript.whisperx[22].end |
516.153 |
transcript.whisperx[22].text |
那我想說這部分我們尊重相關全責部會的這些思考我只是說假設從我們這個金融市場的資金的這樣的一個投資的去向來講的話確實長期穩定而且具有一定收益的公債會是一個尤其是以台幣計價的公債會是我們現在所顯現的很重要還有一個周恩雲雲我們的資本市場老實說只有股票市場發展的還可以我們債券市場都是一塌糊塗 |
transcript.whisperx[23].start |
517.236 |
transcript.whisperx[23].end |
544.956 |
transcript.whisperx[23].text |
多發行公債這個時候此其時也我們要發行主權基金錢怎麼來向老百姓來啊中華民國這麼用到對不對來用老百姓的錢用老百姓的錢20年以後還你利息看多少這是一個很好的而且可以把公債市場活絡起來一起好取得啊怎麼看都是對的 |
transcript.whisperx[24].start |
546.638 |
transcript.whisperx[24].end |
568.524 |
transcript.whisperx[24].text |
其實我們也有去跟授權業者了解他們的需求他們確實以他們資產負債管理來講的話他們真的需要有更多的台幣投資機會所以才講說像我們的兆元投資計畫所以我就是問你啊你會不會鼓勵授權公司鼓勵他買主權基金公債 |
transcript.whisperx[25].start |
569.244 |
transcript.whisperx[25].end |
582.01 |
transcript.whisperx[25].text |
其實我們是鼓勵了他要做好資產負債管理這是最根本那如果這是個好標的當然就是一個我們很好的一個國資我告訴你這麼賺到啊賴清德跟我這麼賺到啊要去美國投資啊對不對這麼賺到日本來投資日本要跟美國成立聯合的主權基金我不知道這個什麼會有兩個國家的主權基金呢我是聽不到啦我們支持魯頓聽不到兩個國家主權基金了台灣都 |
transcript.whisperx[26].start |
598.197 |
transcript.whisperx[26].end |
621.712 |
transcript.whisperx[26].text |
好 最後一題喔這個 這個你是專家啦不是昨天 有某一個金礦公司的董事長承認啦 承認金礦公司董事長他現在不是了他說了 台幣不應該一次噪聲 應該緩聲 |
transcript.whisperx[27].start |
625.285 |
transcript.whisperx[27].end |
645.664 |
transcript.whisperx[27].text |
你聽過這個話了嗎?很多種說法,各式各樣都有昨天那位董事長講,你知道嗎?信菜的其實我們很多種說法啦昨天比較update的消息啦好,可是,還生,那就回到1985年廣場協議還生的結果,日本失落三十名 |
transcript.whisperx[28].start |
646.425 |
transcript.whisperx[28].end |
673.798 |
transcript.whisperx[28].text |
它的因為緩升大家認為說它一定慢慢升所以熱血一直進來跑哪裡就跑兩個地方一個股票一個房地產股票不斷的上升房地產不斷的上升上升到後來泡沫就變成一個disast一個很大的災難對國家來講都變一個很大的災難所以現在來講就是到底緩升還是一字生竹緩升 |
transcript.whisperx[29].start |
674.958 |
transcript.whisperx[29].end |
692.446 |
transcript.whisperx[29].text |
對於出口業者有時間調整可是 可是意味緩升太多的外資會進來 進來 do nothing就等著他升值 以後再出去然後呢 再去買房地產 買股票就會變成泡沫化 這個你擔不擔心 |
transcript.whisperx[30].start |
693.191 |
transcript.whisperx[30].end |
717.684 |
transcript.whisperx[30].text |
我想剛剛委員提到,匯率我真的不是專家,央行的同仁在這邊你是經濟學博士,你自己來沒有,我想匯率的部分,就我個人對這個事情的粗淺了解就是廣場協議是很久以前的,那時候的國際政經的複雜度跟連結度跟現在是完全不同而且美國的態度也沒辦法像當年這樣完全的 |
transcript.whisperx[31].start |
718.72 |
transcript.whisperx[31].end |
737.61 |
transcript.whisperx[31].text |
就是跟現在狀況很不一樣當然過去的歷史大家都會好好的去看我想從過去這個幾個月來大家就看到了這個不是第一次被提出來那當然很多的講法都有那是不是歷史會重演其實我覺得這個事情都要我時間到了我再做幾個comment |
transcript.whisperx[32].start |
740.815 |
transcript.whisperx[32].end |
768.204 |
transcript.whisperx[32].text |
廣場協議那時候是英法美德四個國家去打一個日本現在是川普打世界其他國家是不一樣的這是第一個不一樣第二個我們都知道現在來講川普希望美元強勢的要走弱長期走弱這個對其他國家都有深植的壓力其實我就是問你一個小問題你結束了我就下去 |
transcript.whisperx[33].start |
769.403 |
transcript.whisperx[33].end |
796.995 |
transcript.whisperx[33].text |
你贊成反省還是一事到位沒有我覺得這個我們沒辦法預期啦但是你這樣說就沒有給我答案了你就是給我一個爽快的答案你prefer你prefer我沒辦法prefer他應該有可能是緩貶有可能未來就是很難預測我覺得這個我們都要有兩方的昨天那一位是現在是大公司大集團的董事長以前當過金控的董事長 |
transcript.whisperx[34].start |
797.455 |
transcript.whisperx[34].end |
819.658 |
transcript.whisperx[34].text |
那也是一家公司啦我就不要講他名字了 大家都看到他講的時候 緩身我嚇一跳緩身就鼓勵熱情慢慢進來台灣然後造成我們的股市泡沫我們的黃市泡沫要很小心耶當然我們隨時都保持警戒跟小心謝謝市長 謝謝委員 謝謝接著請郭國文委員質詢 |