IVOD_ID |
160106 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160106 |
日期 |
2025-04-10 |
會議資料.會議代碼 |
委員會-11-3-20-7 |
會議資料.會議代碼:str |
第11屆第3會期財政委員會第7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 |
7 |
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7次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-04-10T11:59:39+08:00 |
結束時間 |
2025-04-10T12:12:32+08:00 |
影片長度 |
00:12:53 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/127fafa562dc9712d8eba710f67de06a39fb4699fde532611a30f584bceeba999ece5cc56f5d9c585ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
羅明才 |
委員發言時間 |
11:59:39 - 12:12:32 |
會議時間 |
2025-04-10T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期財政委員會第7次全體委員會議(事由:一、邀請中央銀行楊總裁金龍、金融監督管理委員會彭主任委員金隆、行政院主計總處陳主計長淑姿、財政部莊部長翠雲、經濟部郭部長智輝、農業部陳部長駿季就「川普對等關稅政策實施,對我國股匯市、經濟成長、物價、房市等項所造成之衝擊與因應措施」進行專題報告,並備質詢。
二、審查「納稅者權利保護法」4案:
(一)本院委員賴士葆等22人擬具「納稅者權利保護法部分條文修正草案」案。
(二)本院委員羅廷瑋等18人擬具「納稅者權利保護法第四條條文修正草案」案。
(三)本院委員林思銘等20人擬具「納稅者權利保護法第七條及第二十一條條文修正草案」案。
(四)本院委員林思銘等18人擬具「納稅者權利保護法第二十一條條文修正草案」案。
三、審查「加值型及非加值型營業稅法」9案:
(一) 本院委員鍾佳濱等18人、委員鍾佳濱等23人、委員郭國文等17人、委員吳沛憶等18人分別擬具「加值型及非加值型營業稅法部分條文修正草案」等4案。【本院委員吳沛憶等18人提案如經院會復議,則不予審查】
(二) 本院委員陳超明等18人、委員邱志偉等16人分別擬具「加值型及非加值型營業稅法第八條條文修正草案」等2案。
(三) 本院委員賴士葆等25人、委員顏寬恒等16人分別擬具「加值型及非加值型營業稅法第十三條條文修正草案」等2案。
(四) 本院委員賴士葆等22人擬具「加值型及非加值型營業稅法第五十八條條文修正草案」案。) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
0.53721875 |
transcript.pyannote[0].end |
7.64159375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
3.03471875 |
transcript.pyannote[1].end |
3.64221875 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
8.55284375 |
transcript.pyannote[2].end |
10.18971875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
8.77221875 |
transcript.pyannote[3].end |
10.10534375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
11.25284375 |
transcript.pyannote[4].end |
13.19346875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
11.32034375 |
transcript.pyannote[5].end |
12.18096875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
13.58159375 |
transcript.pyannote[6].end |
15.30284375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
16.04534375 |
transcript.pyannote[7].end |
16.85534375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
16.18034375 |
transcript.pyannote[8].end |
16.41659375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
17.00721875 |
transcript.pyannote[9].end |
18.50909375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
19.42034375 |
transcript.pyannote[10].end |
20.70284375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
21.73221875 |
transcript.pyannote[11].end |
22.00221875 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
22.79534375 |
transcript.pyannote[12].end |
24.34784375 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
24.82034375 |
transcript.pyannote[13].end |
25.56284375 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
26.03534375 |
transcript.pyannote[14].end |
26.79471875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
27.03096875 |
transcript.pyannote[15].end |
27.67221875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
28.29659375 |
transcript.pyannote[16].end |
28.93784375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
29.84909375 |
transcript.pyannote[17].end |
31.46909375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
31.68846875 |
transcript.pyannote[18].end |
32.02596875 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
32.34659375 |
transcript.pyannote[19].end |
34.06784375 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
34.97909375 |
transcript.pyannote[20].end |
37.79721875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
38.23596875 |
transcript.pyannote[21].end |
38.60721875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
39.29909375 |
transcript.pyannote[22].end |
43.66971875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
42.38721875 |
transcript.pyannote[23].end |
42.60659375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
43.95659375 |
transcript.pyannote[24].end |
45.05346875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
45.64409375 |
transcript.pyannote[25].end |
47.36534375 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
47.36534375 |
transcript.pyannote[26].end |
47.50034375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
47.50034375 |
transcript.pyannote[27].end |
47.97284375 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
47.97284375 |
transcript.pyannote[28].end |
50.72346875 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
50.77409375 |
transcript.pyannote[29].end |
51.73596875 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
52.00596875 |
transcript.pyannote[30].end |
54.03096875 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
55.36409375 |
transcript.pyannote[31].end |
58.03034375 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
55.83659375 |
transcript.pyannote[32].end |
56.37659375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
57.11909375 |
transcript.pyannote[33].end |
57.99659375 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
58.33409375 |
transcript.pyannote[34].end |
58.48596875 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
59.61659375 |
transcript.pyannote[35].end |
61.64159375 |
transcript.pyannote[36].speaker |
SPEAKER_02 |
transcript.pyannote[36].start |
61.64159375 |
transcript.pyannote[36].end |
61.74284375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
61.74284375 |
transcript.pyannote[37].end |
67.02471875 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
62.41784375 |
transcript.pyannote[38].end |
62.55284375 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
67.02471875 |
transcript.pyannote[39].end |
95.62784375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
96.26909375 |
transcript.pyannote[40].end |
99.03659375 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
99.07034375 |
transcript.pyannote[41].end |
100.23471875 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
100.96034375 |
transcript.pyannote[42].end |
104.53784375 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
105.34784375 |
transcript.pyannote[43].end |
105.87096875 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
106.76534375 |
transcript.pyannote[44].end |
108.04784375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
108.85784375 |
transcript.pyannote[45].end |
109.21221875 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
109.70159375 |
transcript.pyannote[46].end |
111.27096875 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
111.55784375 |
transcript.pyannote[47].end |
111.86159375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
112.23284375 |
transcript.pyannote[48].end |
115.54034375 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
115.54034375 |
transcript.pyannote[49].end |
115.87784375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
115.87784375 |
transcript.pyannote[50].end |
122.88096875 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
116.41784375 |
transcript.pyannote[51].end |
116.77221875 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
122.99909375 |
transcript.pyannote[52].end |
123.33659375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
124.29846875 |
transcript.pyannote[53].end |
124.88909375 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
125.12534375 |
transcript.pyannote[54].end |
125.47971875 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
125.47971875 |
transcript.pyannote[55].end |
125.49659375 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
126.07034375 |
transcript.pyannote[56].end |
126.96471875 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
126.96471875 |
transcript.pyannote[57].end |
127.03221875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
127.03221875 |
transcript.pyannote[58].end |
127.42034375 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
127.42034375 |
transcript.pyannote[59].end |
127.43721875 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
127.43721875 |
transcript.pyannote[60].end |
127.55534375 |
transcript.pyannote[61].speaker |
SPEAKER_02 |
transcript.pyannote[61].start |
127.55534375 |
transcript.pyannote[61].end |
129.69846875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
127.69034375 |
transcript.pyannote[62].end |
132.21284375 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
132.26346875 |
transcript.pyannote[63].end |
133.41096875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
133.76534375 |
transcript.pyannote[64].end |
133.95096875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
135.53721875 |
transcript.pyannote[65].end |
136.76909375 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
137.12346875 |
transcript.pyannote[66].end |
137.41034375 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
137.79846875 |
transcript.pyannote[67].end |
139.95846875 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
140.21159375 |
transcript.pyannote[68].end |
141.37596875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
141.46034375 |
transcript.pyannote[69].end |
141.93284375 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
143.14784375 |
transcript.pyannote[70].end |
143.60346875 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
143.82284375 |
transcript.pyannote[71].end |
145.03784375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
146.62409375 |
transcript.pyannote[72].end |
146.94471875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
147.45096875 |
transcript.pyannote[73].end |
148.51409375 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
149.32409375 |
transcript.pyannote[74].end |
149.96534375 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
150.15096875 |
transcript.pyannote[75].end |
150.35346875 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
150.58971875 |
transcript.pyannote[76].end |
150.65721875 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
150.65721875 |
transcript.pyannote[77].end |
150.72471875 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
150.72471875 |
transcript.pyannote[78].end |
150.77534375 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
150.77534375 |
transcript.pyannote[79].end |
151.97346875 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
150.82596875 |
transcript.pyannote[80].end |
151.82159375 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
151.97346875 |
transcript.pyannote[81].end |
152.00721875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
152.00721875 |
transcript.pyannote[82].end |
152.09159375 |
transcript.pyannote[83].speaker |
SPEAKER_02 |
transcript.pyannote[83].start |
152.09159375 |
transcript.pyannote[83].end |
157.67721875 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
153.96471875 |
transcript.pyannote[84].end |
154.23471875 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
155.28096875 |
transcript.pyannote[85].end |
157.84596875 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
158.03159375 |
transcript.pyannote[86].end |
163.66784375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
163.78596875 |
transcript.pyannote[87].end |
164.22471875 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
164.51159375 |
transcript.pyannote[88].end |
166.60409375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
166.70534375 |
transcript.pyannote[89].end |
168.96659375 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
168.15659375 |
transcript.pyannote[90].end |
168.24096875 |
transcript.pyannote[91].speaker |
SPEAKER_02 |
transcript.pyannote[91].start |
168.96659375 |
transcript.pyannote[91].end |
169.70909375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
170.35034375 |
transcript.pyannote[92].end |
174.18096875 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
170.38409375 |
transcript.pyannote[93].end |
170.87346875 |
transcript.pyannote[94].speaker |
SPEAKER_02 |
transcript.pyannote[94].start |
174.33284375 |
transcript.pyannote[94].end |
176.57721875 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
176.84721875 |
transcript.pyannote[95].end |
177.48846875 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
177.48846875 |
transcript.pyannote[96].end |
178.60221875 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
177.55596875 |
transcript.pyannote[97].end |
178.72034375 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
178.72034375 |
transcript.pyannote[98].end |
178.77096875 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
178.77096875 |
transcript.pyannote[99].end |
178.78784375 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
178.78784375 |
transcript.pyannote[100].end |
179.02409375 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
179.02409375 |
transcript.pyannote[101].end |
179.81721875 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
180.15471875 |
transcript.pyannote[102].end |
183.95159375 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
180.98159375 |
transcript.pyannote[103].end |
181.47096875 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
183.93471875 |
transcript.pyannote[104].end |
189.73971875 |
transcript.pyannote[105].speaker |
SPEAKER_02 |
transcript.pyannote[105].start |
185.08221875 |
transcript.pyannote[105].end |
185.62221875 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
189.79034375 |
transcript.pyannote[106].end |
189.80721875 |
transcript.pyannote[107].speaker |
SPEAKER_02 |
transcript.pyannote[107].start |
189.80721875 |
transcript.pyannote[107].end |
190.11096875 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
190.81971875 |
transcript.pyannote[108].end |
192.86159375 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
191.34284375 |
transcript.pyannote[109].end |
192.72659375 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
192.86159375 |
transcript.pyannote[110].end |
193.38471875 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
193.38471875 |
transcript.pyannote[111].end |
197.80596875 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
193.87409375 |
transcript.pyannote[112].end |
194.24534375 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
198.09284375 |
transcript.pyannote[113].end |
203.37471875 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
203.37471875 |
transcript.pyannote[114].end |
203.79659375 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
203.79659375 |
transcript.pyannote[115].end |
204.77534375 |
transcript.pyannote[116].speaker |
SPEAKER_02 |
transcript.pyannote[116].start |
204.77534375 |
transcript.pyannote[116].end |
204.80909375 |
transcript.pyannote[117].speaker |
SPEAKER_02 |
transcript.pyannote[117].start |
205.58534375 |
transcript.pyannote[117].end |
224.36721875 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
212.13284375 |
transcript.pyannote[118].end |
213.71909375 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
225.00846875 |
transcript.pyannote[119].end |
225.31221875 |
transcript.pyannote[120].speaker |
SPEAKER_02 |
transcript.pyannote[120].start |
225.31221875 |
transcript.pyannote[120].end |
225.44721875 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
225.44721875 |
transcript.pyannote[121].end |
225.58221875 |
transcript.pyannote[122].speaker |
SPEAKER_02 |
transcript.pyannote[122].start |
225.58221875 |
transcript.pyannote[122].end |
225.75096875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
225.75096875 |
transcript.pyannote[123].end |
225.81846875 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
225.81846875 |
transcript.pyannote[124].end |
226.03784375 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
226.03784375 |
transcript.pyannote[125].end |
232.80471875 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
233.68221875 |
transcript.pyannote[126].end |
235.35284375 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
235.65659375 |
transcript.pyannote[127].end |
247.80659375 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
235.69034375 |
transcript.pyannote[128].end |
238.86284375 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
239.97659375 |
transcript.pyannote[129].end |
240.17909375 |
transcript.pyannote[130].speaker |
SPEAKER_02 |
transcript.pyannote[130].start |
247.89096875 |
transcript.pyannote[130].end |
252.80159375 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
252.80159375 |
transcript.pyannote[131].end |
252.81846875 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
252.81846875 |
transcript.pyannote[132].end |
252.83534375 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
253.22346875 |
transcript.pyannote[133].end |
253.45971875 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
253.45971875 |
transcript.pyannote[134].end |
253.47659375 |
transcript.pyannote[135].speaker |
SPEAKER_02 |
transcript.pyannote[135].start |
253.71284375 |
transcript.pyannote[135].end |
253.72971875 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
253.72971875 |
transcript.pyannote[136].end |
253.88159375 |
transcript.pyannote[137].speaker |
SPEAKER_02 |
transcript.pyannote[137].start |
253.88159375 |
transcript.pyannote[137].end |
253.93221875 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
253.93221875 |
transcript.pyannote[138].end |
253.99971875 |
transcript.pyannote[139].speaker |
SPEAKER_02 |
transcript.pyannote[139].start |
253.99971875 |
transcript.pyannote[139].end |
254.03346875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
254.03346875 |
transcript.pyannote[140].end |
255.58596875 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
255.88971875 |
transcript.pyannote[141].end |
256.36221875 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
256.71659375 |
transcript.pyannote[142].end |
260.32784375 |
transcript.pyannote[143].speaker |
SPEAKER_02 |
transcript.pyannote[143].start |
260.32784375 |
transcript.pyannote[143].end |
264.12471875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
263.56784375 |
transcript.pyannote[144].end |
264.24284375 |
transcript.pyannote[145].speaker |
SPEAKER_02 |
transcript.pyannote[145].start |
264.24284375 |
transcript.pyannote[145].end |
264.25971875 |
transcript.pyannote[146].speaker |
SPEAKER_02 |
transcript.pyannote[146].start |
264.49596875 |
transcript.pyannote[146].end |
267.38159375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
266.31846875 |
transcript.pyannote[147].end |
267.16221875 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
267.17909375 |
transcript.pyannote[148].end |
273.52409375 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
274.01346875 |
transcript.pyannote[149].end |
274.67159375 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
275.32971875 |
transcript.pyannote[150].end |
276.00471875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
276.61221875 |
transcript.pyannote[151].end |
277.27034375 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
277.57409375 |
transcript.pyannote[152].end |
281.18534375 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
282.67034375 |
transcript.pyannote[153].end |
285.01596875 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
285.25221875 |
transcript.pyannote[154].end |
286.82159375 |
transcript.pyannote[155].speaker |
SPEAKER_02 |
transcript.pyannote[155].start |
287.32784375 |
transcript.pyannote[155].end |
297.92534375 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
291.17534375 |
transcript.pyannote[156].end |
291.79971875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
292.33971875 |
transcript.pyannote[157].end |
292.35659375 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
293.16659375 |
transcript.pyannote[158].end |
319.66034375 |
transcript.pyannote[159].speaker |
SPEAKER_02 |
transcript.pyannote[159].start |
300.30471875 |
transcript.pyannote[159].end |
303.00471875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
320.11596875 |
transcript.pyannote[160].end |
321.16221875 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
321.51659375 |
transcript.pyannote[161].end |
322.78221875 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
323.23784375 |
transcript.pyannote[162].end |
326.05596875 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
326.39346875 |
transcript.pyannote[163].end |
327.03471875 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
327.11909375 |
transcript.pyannote[164].end |
328.35096875 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
328.73909375 |
transcript.pyannote[165].end |
329.44784375 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
330.59534375 |
transcript.pyannote[166].end |
331.81034375 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
332.14784375 |
transcript.pyannote[167].end |
332.67096875 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
333.02534375 |
transcript.pyannote[168].end |
333.19409375 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
335.35409375 |
transcript.pyannote[169].end |
335.75909375 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
336.23159375 |
transcript.pyannote[170].end |
337.64909375 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
337.69971875 |
transcript.pyannote[171].end |
339.20159375 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
339.65721875 |
transcript.pyannote[172].end |
341.68221875 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
342.15471875 |
transcript.pyannote[173].end |
342.72846875 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
342.27284375 |
transcript.pyannote[174].end |
342.64409375 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
342.86346875 |
transcript.pyannote[175].end |
346.05284375 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
346.44096875 |
transcript.pyannote[176].end |
346.94721875 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
347.53784375 |
transcript.pyannote[177].end |
348.58409375 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
347.57159375 |
transcript.pyannote[178].end |
347.82471875 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
348.80346875 |
transcript.pyannote[179].end |
357.71346875 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
358.00034375 |
transcript.pyannote[180].end |
358.87784375 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
359.01284375 |
transcript.pyannote[181].end |
359.90721875 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
359.99159375 |
transcript.pyannote[182].end |
364.73346875 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
364.46346875 |
transcript.pyannote[183].end |
364.61534375 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
364.73346875 |
transcript.pyannote[184].end |
367.33221875 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
367.70346875 |
transcript.pyannote[185].end |
371.44971875 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
371.88846875 |
transcript.pyannote[186].end |
372.98534375 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
373.15409375 |
transcript.pyannote[187].end |
374.33534375 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
374.06534375 |
transcript.pyannote[188].end |
376.96784375 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
375.04409375 |
transcript.pyannote[189].end |
375.38159375 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
376.93409375 |
transcript.pyannote[190].end |
385.47284375 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
385.50659375 |
transcript.pyannote[191].end |
386.63721875 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
387.09284375 |
transcript.pyannote[192].end |
387.44721875 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
387.44721875 |
transcript.pyannote[193].end |
387.46409375 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
387.49784375 |
transcript.pyannote[194].end |
388.37534375 |
transcript.pyannote[195].speaker |
SPEAKER_00 |
transcript.pyannote[195].start |
388.42596875 |
transcript.pyannote[195].end |
397.96034375 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
397.47096875 |
transcript.pyannote[196].end |
402.53346875 |
transcript.pyannote[197].speaker |
SPEAKER_00 |
transcript.pyannote[197].start |
403.36034375 |
transcript.pyannote[197].end |
408.40596875 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
406.80284375 |
transcript.pyannote[198].end |
412.33784375 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
413.04659375 |
transcript.pyannote[199].end |
414.07596875 |
transcript.pyannote[200].speaker |
SPEAKER_00 |
transcript.pyannote[200].start |
414.24471875 |
transcript.pyannote[200].end |
417.70409375 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
417.80534375 |
transcript.pyannote[201].end |
418.64909375 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
419.07096875 |
transcript.pyannote[202].end |
424.94346875 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
423.34034375 |
transcript.pyannote[203].end |
424.67346875 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
424.94346875 |
transcript.pyannote[204].end |
425.75346875 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
425.93909375 |
transcript.pyannote[205].end |
427.66034375 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
427.96409375 |
transcript.pyannote[206].end |
430.17471875 |
transcript.pyannote[207].speaker |
SPEAKER_01 |
transcript.pyannote[207].start |
430.52909375 |
transcript.pyannote[207].end |
431.89596875 |
transcript.pyannote[208].speaker |
SPEAKER_01 |
transcript.pyannote[208].start |
433.51596875 |
transcript.pyannote[208].end |
435.42284375 |
transcript.pyannote[209].speaker |
SPEAKER_01 |
transcript.pyannote[209].start |
436.01346875 |
transcript.pyannote[209].end |
436.77284375 |
transcript.pyannote[210].speaker |
SPEAKER_01 |
transcript.pyannote[210].start |
436.97534375 |
transcript.pyannote[210].end |
441.88596875 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
442.22346875 |
transcript.pyannote[211].end |
445.04159375 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
445.96971875 |
transcript.pyannote[212].end |
447.03284375 |
transcript.pyannote[213].speaker |
SPEAKER_01 |
transcript.pyannote[213].start |
447.55596875 |
transcript.pyannote[213].end |
448.14659375 |
transcript.pyannote[214].speaker |
SPEAKER_01 |
transcript.pyannote[214].start |
448.55159375 |
transcript.pyannote[214].end |
449.32784375 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
449.71596875 |
transcript.pyannote[215].end |
451.03221875 |
transcript.pyannote[216].speaker |
SPEAKER_01 |
transcript.pyannote[216].start |
452.01096875 |
transcript.pyannote[216].end |
452.51721875 |
transcript.pyannote[217].speaker |
SPEAKER_00 |
transcript.pyannote[217].start |
452.88846875 |
transcript.pyannote[217].end |
455.92596875 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
456.04409375 |
transcript.pyannote[218].end |
460.87034375 |
transcript.pyannote[219].speaker |
SPEAKER_01 |
transcript.pyannote[219].start |
460.90409375 |
transcript.pyannote[219].end |
468.64971875 |
transcript.pyannote[220].speaker |
SPEAKER_00 |
transcript.pyannote[220].start |
468.48096875 |
transcript.pyannote[220].end |
471.01221875 |
transcript.pyannote[221].speaker |
SPEAKER_01 |
transcript.pyannote[221].start |
471.11346875 |
transcript.pyannote[221].end |
474.26909375 |
transcript.pyannote[222].speaker |
SPEAKER_00 |
transcript.pyannote[222].start |
475.39971875 |
transcript.pyannote[222].end |
477.91409375 |
transcript.pyannote[223].speaker |
SPEAKER_01 |
transcript.pyannote[223].start |
478.40346875 |
transcript.pyannote[223].end |
479.68596875 |
transcript.pyannote[224].speaker |
SPEAKER_01 |
transcript.pyannote[224].start |
479.97284375 |
transcript.pyannote[224].end |
480.54659375 |
transcript.pyannote[225].speaker |
SPEAKER_01 |
transcript.pyannote[225].start |
481.13721875 |
transcript.pyannote[225].end |
481.74471875 |
transcript.pyannote[226].speaker |
SPEAKER_01 |
transcript.pyannote[226].start |
481.91346875 |
transcript.pyannote[226].end |
483.29721875 |
transcript.pyannote[227].speaker |
SPEAKER_02 |
transcript.pyannote[227].start |
484.03971875 |
transcript.pyannote[227].end |
486.79034375 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
486.84096875 |
transcript.pyannote[228].end |
492.35909375 |
transcript.pyannote[229].speaker |
SPEAKER_03 |
transcript.pyannote[229].start |
493.43909375 |
transcript.pyannote[229].end |
493.74284375 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
494.35034375 |
transcript.pyannote[230].end |
494.73846875 |
transcript.pyannote[231].speaker |
SPEAKER_01 |
transcript.pyannote[231].start |
494.80596875 |
transcript.pyannote[231].end |
495.10971875 |
transcript.pyannote[232].speaker |
SPEAKER_01 |
transcript.pyannote[232].start |
495.48096875 |
transcript.pyannote[232].end |
496.18971875 |
transcript.pyannote[233].speaker |
SPEAKER_01 |
transcript.pyannote[233].start |
496.62846875 |
transcript.pyannote[233].end |
498.21471875 |
transcript.pyannote[234].speaker |
SPEAKER_01 |
transcript.pyannote[234].start |
498.40034375 |
transcript.pyannote[234].end |
499.90221875 |
transcript.pyannote[235].speaker |
SPEAKER_01 |
transcript.pyannote[235].start |
500.62784375 |
transcript.pyannote[235].end |
504.72846875 |
transcript.pyannote[236].speaker |
SPEAKER_01 |
transcript.pyannote[236].start |
505.21784375 |
transcript.pyannote[236].end |
509.16659375 |
transcript.pyannote[237].speaker |
SPEAKER_01 |
transcript.pyannote[237].start |
509.82471875 |
transcript.pyannote[237].end |
520.10159375 |
transcript.pyannote[238].speaker |
SPEAKER_01 |
transcript.pyannote[238].start |
520.43909375 |
transcript.pyannote[238].end |
520.86096875 |
transcript.pyannote[239].speaker |
SPEAKER_01 |
transcript.pyannote[239].start |
521.60346875 |
transcript.pyannote[239].end |
522.02534375 |
transcript.pyannote[240].speaker |
SPEAKER_01 |
transcript.pyannote[240].start |
522.85221875 |
transcript.pyannote[240].end |
524.50596875 |
transcript.pyannote[241].speaker |
SPEAKER_03 |
transcript.pyannote[241].start |
525.14721875 |
transcript.pyannote[241].end |
525.70409375 |
transcript.pyannote[242].speaker |
SPEAKER_03 |
transcript.pyannote[242].start |
525.99096875 |
transcript.pyannote[242].end |
533.68596875 |
transcript.pyannote[243].speaker |
SPEAKER_01 |
transcript.pyannote[243].start |
534.10784375 |
transcript.pyannote[243].end |
535.55909375 |
transcript.pyannote[244].speaker |
SPEAKER_01 |
transcript.pyannote[244].start |
535.93034375 |
transcript.pyannote[244].end |
539.11971875 |
transcript.pyannote[245].speaker |
SPEAKER_01 |
transcript.pyannote[245].start |
539.15346875 |
transcript.pyannote[245].end |
540.87471875 |
transcript.pyannote[246].speaker |
SPEAKER_03 |
transcript.pyannote[246].start |
541.21221875 |
transcript.pyannote[246].end |
550.22346875 |
transcript.pyannote[247].speaker |
SPEAKER_01 |
transcript.pyannote[247].start |
549.21096875 |
transcript.pyannote[247].end |
552.14721875 |
transcript.pyannote[248].speaker |
SPEAKER_03 |
transcript.pyannote[248].start |
551.80971875 |
transcript.pyannote[248].end |
552.11346875 |
transcript.pyannote[249].speaker |
SPEAKER_03 |
transcript.pyannote[249].start |
553.56471875 |
transcript.pyannote[249].end |
569.03909375 |
transcript.pyannote[250].speaker |
SPEAKER_01 |
transcript.pyannote[250].start |
568.33034375 |
transcript.pyannote[250].end |
568.54971875 |
transcript.pyannote[251].speaker |
SPEAKER_01 |
transcript.pyannote[251].start |
569.03909375 |
transcript.pyannote[251].end |
569.05596875 |
transcript.pyannote[252].speaker |
SPEAKER_03 |
transcript.pyannote[252].start |
569.05596875 |
transcript.pyannote[252].end |
569.08971875 |
transcript.pyannote[253].speaker |
SPEAKER_01 |
transcript.pyannote[253].start |
569.08971875 |
transcript.pyannote[253].end |
573.73034375 |
transcript.pyannote[254].speaker |
SPEAKER_03 |
transcript.pyannote[254].start |
573.54471875 |
transcript.pyannote[254].end |
585.12096875 |
transcript.pyannote[255].speaker |
SPEAKER_01 |
transcript.pyannote[255].start |
584.74971875 |
transcript.pyannote[255].end |
589.64346875 |
transcript.pyannote[256].speaker |
SPEAKER_03 |
transcript.pyannote[256].start |
589.98096875 |
transcript.pyannote[256].end |
602.80596875 |
transcript.pyannote[257].speaker |
SPEAKER_01 |
transcript.pyannote[257].start |
603.51471875 |
transcript.pyannote[257].end |
606.78846875 |
transcript.pyannote[258].speaker |
SPEAKER_01 |
transcript.pyannote[258].start |
607.29471875 |
transcript.pyannote[258].end |
608.69534375 |
transcript.pyannote[259].speaker |
SPEAKER_01 |
transcript.pyannote[259].start |
608.88096875 |
transcript.pyannote[259].end |
609.67409375 |
transcript.pyannote[260].speaker |
SPEAKER_03 |
transcript.pyannote[260].start |
610.58534375 |
transcript.pyannote[260].end |
613.33596875 |
transcript.pyannote[261].speaker |
SPEAKER_01 |
transcript.pyannote[261].start |
613.33596875 |
transcript.pyannote[261].end |
616.60971875 |
transcript.pyannote[262].speaker |
SPEAKER_03 |
transcript.pyannote[262].start |
613.36971875 |
transcript.pyannote[262].end |
614.24721875 |
transcript.pyannote[263].speaker |
SPEAKER_01 |
transcript.pyannote[263].start |
617.21721875 |
transcript.pyannote[263].end |
620.20409375 |
transcript.pyannote[264].speaker |
SPEAKER_01 |
transcript.pyannote[264].start |
620.27159375 |
transcript.pyannote[264].end |
621.79034375 |
transcript.pyannote[265].speaker |
SPEAKER_01 |
transcript.pyannote[265].start |
621.92534375 |
transcript.pyannote[265].end |
624.70971875 |
transcript.pyannote[266].speaker |
SPEAKER_03 |
transcript.pyannote[266].start |
624.70971875 |
transcript.pyannote[266].end |
624.74346875 |
transcript.pyannote[267].speaker |
SPEAKER_01 |
transcript.pyannote[267].start |
625.40159375 |
transcript.pyannote[267].end |
626.24534375 |
transcript.pyannote[268].speaker |
SPEAKER_03 |
transcript.pyannote[268].start |
626.24534375 |
transcript.pyannote[268].end |
646.07346875 |
transcript.pyannote[269].speaker |
SPEAKER_03 |
transcript.pyannote[269].start |
646.49534375 |
transcript.pyannote[269].end |
655.03409375 |
transcript.pyannote[270].speaker |
SPEAKER_01 |
transcript.pyannote[270].start |
655.03409375 |
transcript.pyannote[270].end |
658.44284375 |
transcript.pyannote[271].speaker |
SPEAKER_01 |
transcript.pyannote[271].start |
659.23596875 |
transcript.pyannote[271].end |
665.73284375 |
transcript.pyannote[272].speaker |
SPEAKER_01 |
transcript.pyannote[272].start |
666.32346875 |
transcript.pyannote[272].end |
669.54659375 |
transcript.pyannote[273].speaker |
SPEAKER_01 |
transcript.pyannote[273].start |
669.86721875 |
transcript.pyannote[273].end |
672.92159375 |
transcript.pyannote[274].speaker |
SPEAKER_01 |
transcript.pyannote[274].start |
673.54596875 |
transcript.pyannote[274].end |
674.23784375 |
transcript.pyannote[275].speaker |
SPEAKER_01 |
transcript.pyannote[275].start |
674.92971875 |
transcript.pyannote[275].end |
682.82721875 |
transcript.pyannote[276].speaker |
SPEAKER_03 |
transcript.pyannote[276].start |
683.04659375 |
transcript.pyannote[276].end |
689.69534375 |
transcript.pyannote[277].speaker |
SPEAKER_01 |
transcript.pyannote[277].start |
684.49784375 |
transcript.pyannote[277].end |
685.66221875 |
transcript.pyannote[278].speaker |
SPEAKER_01 |
transcript.pyannote[278].start |
686.05034375 |
transcript.pyannote[278].end |
686.10096875 |
transcript.pyannote[279].speaker |
SPEAKER_03 |
transcript.pyannote[279].start |
689.98221875 |
transcript.pyannote[279].end |
696.52971875 |
transcript.pyannote[280].speaker |
SPEAKER_03 |
transcript.pyannote[280].start |
696.63096875 |
transcript.pyannote[280].end |
704.29221875 |
transcript.pyannote[281].speaker |
SPEAKER_01 |
transcript.pyannote[281].start |
704.29221875 |
transcript.pyannote[281].end |
712.67909375 |
transcript.pyannote[282].speaker |
SPEAKER_03 |
transcript.pyannote[282].start |
704.44409375 |
transcript.pyannote[282].end |
704.64659375 |
transcript.pyannote[283].speaker |
SPEAKER_01 |
transcript.pyannote[283].start |
713.38784375 |
transcript.pyannote[283].end |
715.15971875 |
transcript.pyannote[284].speaker |
SPEAKER_01 |
transcript.pyannote[284].start |
715.80096875 |
transcript.pyannote[284].end |
718.19721875 |
transcript.pyannote[285].speaker |
SPEAKER_03 |
transcript.pyannote[285].start |
715.81784375 |
transcript.pyannote[285].end |
718.26471875 |
transcript.pyannote[286].speaker |
SPEAKER_03 |
transcript.pyannote[286].start |
718.56846875 |
transcript.pyannote[286].end |
718.99034375 |
transcript.pyannote[287].speaker |
SPEAKER_03 |
transcript.pyannote[287].start |
719.19284375 |
transcript.pyannote[287].end |
724.03596875 |
transcript.pyannote[288].speaker |
SPEAKER_01 |
transcript.pyannote[288].start |
724.03596875 |
transcript.pyannote[288].end |
724.06971875 |
transcript.pyannote[289].speaker |
SPEAKER_03 |
transcript.pyannote[289].start |
724.06971875 |
transcript.pyannote[289].end |
724.12034375 |
transcript.pyannote[290].speaker |
SPEAKER_01 |
transcript.pyannote[290].start |
724.12034375 |
transcript.pyannote[290].end |
726.48284375 |
transcript.pyannote[291].speaker |
SPEAKER_03 |
transcript.pyannote[291].start |
724.13721875 |
transcript.pyannote[291].end |
725.84159375 |
transcript.pyannote[292].speaker |
SPEAKER_01 |
transcript.pyannote[292].start |
726.49971875 |
transcript.pyannote[292].end |
729.25034375 |
transcript.pyannote[293].speaker |
SPEAKER_01 |
transcript.pyannote[293].start |
729.35159375 |
transcript.pyannote[293].end |
732.43971875 |
transcript.pyannote[294].speaker |
SPEAKER_01 |
transcript.pyannote[294].start |
732.59159375 |
transcript.pyannote[294].end |
734.14409375 |
transcript.pyannote[295].speaker |
SPEAKER_03 |
transcript.pyannote[295].start |
732.64221875 |
transcript.pyannote[295].end |
733.06409375 |
transcript.pyannote[296].speaker |
SPEAKER_03 |
transcript.pyannote[296].start |
734.14409375 |
transcript.pyannote[296].end |
736.81034375 |
transcript.pyannote[297].speaker |
SPEAKER_01 |
transcript.pyannote[297].start |
734.90346875 |
transcript.pyannote[297].end |
736.84409375 |
transcript.pyannote[298].speaker |
SPEAKER_01 |
transcript.pyannote[298].start |
738.76784375 |
transcript.pyannote[298].end |
740.43846875 |
transcript.pyannote[299].speaker |
SPEAKER_01 |
transcript.pyannote[299].start |
740.92784375 |
transcript.pyannote[299].end |
745.11284375 |
transcript.pyannote[300].speaker |
SPEAKER_01 |
transcript.pyannote[300].start |
745.16346875 |
transcript.pyannote[300].end |
749.11221875 |
transcript.pyannote[301].speaker |
SPEAKER_01 |
transcript.pyannote[301].start |
750.78284375 |
transcript.pyannote[301].end |
752.72346875 |
transcript.pyannote[302].speaker |
SPEAKER_00 |
transcript.pyannote[302].start |
753.34784375 |
transcript.pyannote[302].end |
756.65534375 |
transcript.pyannote[303].speaker |
SPEAKER_01 |
transcript.pyannote[303].start |
756.65534375 |
transcript.pyannote[303].end |
759.27096875 |
transcript.pyannote[304].speaker |
SPEAKER_01 |
transcript.pyannote[304].start |
759.54096875 |
transcript.pyannote[304].end |
761.05971875 |
transcript.pyannote[305].speaker |
SPEAKER_01 |
transcript.pyannote[305].start |
761.48159375 |
transcript.pyannote[305].end |
763.70909375 |
transcript.pyannote[306].speaker |
SPEAKER_01 |
transcript.pyannote[306].start |
766.25721875 |
transcript.pyannote[306].end |
768.92346875 |
transcript.pyannote[307].speaker |
SPEAKER_01 |
transcript.pyannote[307].start |
770.37471875 |
transcript.pyannote[307].end |
770.77971875 |
transcript.pyannote[308].speaker |
SPEAKER_02 |
transcript.pyannote[308].start |
771.11721875 |
transcript.pyannote[308].end |
771.40409375 |
transcript.pyannote[309].speaker |
SPEAKER_01 |
transcript.pyannote[309].start |
771.60659375 |
transcript.pyannote[309].end |
772.18034375 |
transcript.whisperx[0].start |
0.983 |
transcript.whisperx[0].end |
28.671 |
transcript.whisperx[0].text |
臺灣政經教育所林董事長林董事長主計總處主計長主計長陳任部長要不要來一下陳任部長也一起來一下好了這都很重要的部會那我想經濟部麻煩一下經濟部董事長那個大家一起來面對國難大家要 |
transcript.whisperx[1].start |
30.901 |
transcript.whisperx[1].end |
53.846 |
transcript.whisperx[1].text |
團結在一起不要再搞什麼大罷免了全世界遇到這個事情大家都已經很緊張每天都可能忐忑不安總裁啊 你這幾天睡得怎麼樣我還好啊惱心在哉我們密切注意情況的發展你要穩住啊有啊 穩住啊 |
transcript.whisperx[2].start |
55.881 |
transcript.whisperx[2].end |
78.354 |
transcript.whisperx[2].text |
總裁啊 為什麼美國的公債啊 十年期的公債 殖利率 它飆新高沒有 新高啊 我剛剛提供的一個數據就是說它前一陣子才 還沒有實施這個之前 它都到4.9那後來呢 它就慢慢的下來 下來到3.998的樣子 |
transcript.whisperx[3].start |
81.656 |
transcript.whisperx[3].end |
108.901 |
transcript.whisperx[3].text |
但是最近呢是上升到4.332那如果說從4%上升到4.332這個很高嗎那如果說我們跟這個4.98來比較的話4.33還算低啊所以你對美元未來在川普之後的新世界因為坦白講那個上上下下那 |
transcript.whisperx[4].start |
109.778 |
transcript.whisperx[4].end |
132.781 |
transcript.whisperx[4].text |
我們也不曉得到底怎麼辦更何況是一般的中小企業現在感覺就是說我們各部位的重要的財經單位對不對就川普很重要 重不重要川普是 他很重要沒有錯現在變成我們在屋簷下不得不低頭但是也沒關係 |
transcript.whisperx[5].start |
135.618 |
transcript.whisperx[5].end |
144.695 |
transcript.whisperx[5].text |
順著川普走你想要平安健康才會有啊所以總裁你要跟他 |
transcript.whisperx[6].start |
146.653 |
transcript.whisperx[6].end |
167.447 |
transcript.whisperx[6].text |
要有一定的溝通嘛你跟他熟不熟當然不熟啦不熟那彭懷南彭總裁彭總裁以前是直接就對上的他有那個熱線不是川普就以前的總統他們的內委這個我就不曉得 |
transcript.whisperx[7].start |
170.444 |
transcript.whisperx[7].end |
189.38 |
transcript.whisperx[7].text |
可是你現在外匯存底你買了多少的美國公債我就說我們會有八成以上啊多少?大概美金是多少?八成以上你覺得說用五千七百億乘上百分之八十有的四千多億美元其實四千多億美元你是有話語權的啊如果把我們逼緊了我們沒路可去的 |
transcript.whisperx[8].start |
198.32 |
transcript.whisperx[8].end |
223.998 |
transcript.whisperx[8].text |
老娘跟你拼了我把所有的這個公債通通考慮贖回有沒有這個可能我想這個就是說這個就是有一點情緒的一個反應情緒的對這是一個情緒的反應我總覺得中央銀行要穩定市場我們是密切的關注市場的一個發展然後做妥善的因應 |
transcript.whisperx[9].start |
225.563 |
transcript.whisperx[9].end |
252.706 |
transcript.whisperx[9].text |
我希望說在談判的時候央行可以成為談判代表的一個定心神針啊我覺得是籌碼啊台積電已經沒了嘛你至少還有這些籌碼我發現好像現在持有美國公債最多的是哪一個國家應該是日本跟中國大陸都持有很大很多啦 |
transcript.whisperx[10].start |
253.786 |
transcript.whisperx[10].end |
280.362 |
transcript.whisperx[10].text |
日本配合度很高那中國大陸他現在持有的美國公債有多少這個我大概不曉得待會兒我再告訴你好了幾兆他也持的蠻多的啦所以這個世界的當然實力為王啦那兩邊這樣吵來吵去假設未來美元的過去傳統崇高的地位不見了 |
transcript.whisperx[11].start |
282.728 |
transcript.whisperx[11].end |
286.443 |
transcript.whisperx[11].text |
中國大陸他全部贖回那會造成什麼樣的情況 |
transcript.whisperx[12].start |
288.326 |
transcript.whisperx[12].end |
295.428 |
transcript.whisperx[12].text |
這個委員所講的是一個假設性的議題你要沙盤推演啊你這個是假設性的議題都應該要做一個完整的沙盤推演禮拜一他說給我們課32%的關稅總裁你有料到說他突然說那這些70幾個關要先停止90天的寬鬆期再慢慢談這一點你有想到嗎 |
transcript.whisperx[13].start |
315.94 |
transcript.whisperx[13].end |
331.533 |
transcript.whisperx[13].text |
沒有想到啊所以我們大家要不要大罷免了趕快回歸把所有的108套劇本包括金管會包括財政部我請教那個部長莊部長 |
transcript.whisperx[14].start |
335.407 |
transcript.whisperx[14].end |
357.412 |
transcript.whisperx[14].text |
那未來我們關稅你的想法是怎麼樣他如果調高我們可以跟著調高嗎對等還是我們就是卑躬屈膝我們就隨便就配合他就好不是卑躬屈膝我覺得我們這個部分行政院的有經貿工作小組也有談判的團隊會去跟川普那邊做協商 |
transcript.whisperx[15].start |
358.052 |
transcript.whisperx[15].end |
384.469 |
transcript.whisperx[15].text |
跟川普的誰?川普政府的誰?我覺得這個部分當然我們的國安跟外交團隊會在那邊現在我們的談判代表財政部會不會去?目前那個團隊裡面會有政府院長領軍政府院長會去?領軍他會去那財政部有沒有一起參加?財政部一直在對相關有關財政部的業務的部分我們都有提供相關的資料給談判的團隊那你派誰去? |
transcript.whisperx[16].start |
387.631 |
transcript.whisperx[16].end |
410.304 |
transcript.whisperx[16].text |
妳派誰去目前來說還沒有要求財政部派員而且我們其實在駐美那邊駐美代表處也有我們官務的同仁在那邊經濟組裡面工作妳在美國的關係最重要我們現在最重要的關係是跟誰我們最重要的關係那現在當然面對川普這個關稅的一個措施你們有沒有找Washington DC那邊的一些Lobby的單位來互動一下 |
transcript.whisperx[17].start |
414.956 |
transcript.whisperx[17].end |
431.63 |
transcript.whisperx[17].text |
這個部分我相信他們都非常努力的在進行他們是誰包含我們的駐美代表處或者我們在那邊的國安團隊等等對 外交團隊你們在沙盤推演在模擬議題的時候你們要看看有沒有管道 |
transcript.whisperx[18].start |
433.985 |
transcript.whisperx[18].end |
452.305 |
transcript.whisperx[18].text |
據我知啦 我所知啦川普總統的周圍以前他發言的人很近周圍他很信任的人最近會來台灣啊你們應該跟他看能不能連線上起碼講講好話吧是不是 |
transcript.whisperx[19].start |
453.435 |
transcript.whisperx[19].end |
477.786 |
transcript.whisperx[19].text |
謝謝委員的一個支持啦所以希望說在國難當頭這個時間部長你答不答應全力來為民把關好好來爭取最好的應對方式政府當然是秉持這樣的一個立場那你最近會不會去參與大罷免的活動我從來都沒有參與大罷免的活動啊 |
transcript.whisperx[20].start |
480.329 |
transcript.whisperx[20].end |
489.7 |
transcript.whisperx[20].text |
楊總裁你會去參與所謂的應該是沒有沒有是很好的莊部長沒有也很好再來請金管會主委 |
transcript.whisperx[21].start |
495.563 |
transcript.whisperx[21].end |
524.078 |
transcript.whisperx[21].text |
其實你是台灣的兩條金龍之一楊金龍、彭金龍本來是希望說能擋得住因為今年的蛇年是雙頭蛇雙頭蛇很兇的從過年初的時候有一些人在講希望說你們兩隻大龍可以壓住雙頭蛇小龍那主委這幾天你的心情怎麼樣 |
transcript.whisperx[22].start |
526.697 |
transcript.whisperx[22].end |
549.808 |
transcript.whisperx[22].text |
剛剛也有人問到我們就平常心因為儘管會面對這個資本市場管理波動本來就是我們每天都要面對的事情你平常心可以啊可是說有融資斷頭戶啊什麼時候會萬箭齊發我想今天其實我們每天都有監控剛剛也有人提到我們都非常關心這個問題因為影響到很多散戶投資人的一些的權益莊部長請回 |
transcript.whisperx[23].start |
553.635 |
transcript.whisperx[23].end |
567.963 |
transcript.whisperx[23].text |
是那這部分我們當然像我們在這個上個禮拜天我們第一個的措施就是針對這些可能未來的所謂的融資追繳沒辦法去補繳的這些投資人做一些一些動作 |
transcript.whisperx[24].start |
568.723 |
transcript.whisperx[24].end |
589.222 |
transcript.whisperx[24].text |
目前的情況如果股市跌到17000多點的時候我們現在的維持率大概是146今天應該會很大不同就是我們看到昨天跟前天大概就是增加了2%可是相對的來講今天反彈上來會不會是最終的逃民險 |
transcript.whisperx[25].start |
590.644 |
transcript.whisperx[25].end |
608.381 |
transcript.whisperx[25].text |
這個當然每個人我們儘管會不會對這個市場做什麼預判啦這完全投資人自己的決定所以市場要有量有量代表多空雙方自己有自己的判斷我想這是最重要的同志會 美國川普給我們90天的寬限期在談那談的情況會有幾種 |
transcript.whisperx[26].start |
611.087 |
transcript.whisperx[26].end |
614.032 |
transcript.whisperx[26].text |
如果90天又恢復說心情不大好還是要課你32%的關稅 |
transcript.whisperx[27].start |
625.461 |
transcript.whisperx[27].end |
653.406 |
transcript.whisperx[27].text |
金管會怎麼辦我想齁 這個我們對各種的情況包括這個三十二這件事情我們在這個星期一已經有有所反應了嘛我想這部分接下來本來這個剛剛成都總裁講的本來這個東西那個uncertainty本來就一直都存在那我們想說我們過去在金管會處理這個類似這個金融上面的波動特別是股市的波動我們有很多很多的相對應的方法來穩定市場對 上次喔 |
transcript.whisperx[28].start |
653.826 |
transcript.whisperx[28].end |
682.521 |
transcript.whisperx[28].text |
在這邊質詢的時候其實官員的回答是答錯了我說這個關稅的問題會不會造成國內中小企業上市櫃公司重大的影響你們查查看我們這個都有錄音的你們的回答是說影響不大經過這個詢答大概會有22間左右的上市櫃公司可能會有一些影響其他影響不大 |
transcript.whisperx[29].start |
685.727 |
transcript.whisperx[29].end |
710.952 |
transcript.whisperx[29].text |
那個回答是錯誤的沒有 那是我們那個其實當時的是我們交易所去做調查上市櫃公司針對那幾個被點名的國家我們在那邊的一些的出口跟相對的數字他們的回應說有22家對他們影響是比較明顯的可是你看看第一天你說影響不大全部都跌停在你的任內已經創了8個紀錄 |
transcript.whisperx[30].start |
713.802 |
transcript.whisperx[30].end |
735.14 |
transcript.whisperx[30].text |
一天跌幅幾千點?2600點創下有史以來的紀錄我想這全世界都面對到相同的問題啊所以主委你要小心啊未來再過90天以後怎麼辦?請你們做好準備我們一定是全力準備大罷免你會不會去搞大罷免當然不會不會好謝謝那請主席講 |
transcript.whisperx[31].start |
739.68 |
transcript.whisperx[31].end |
763.331 |
transcript.whisperx[31].text |
那主席長我們對這中小企業的應變啊你們要做最好的準備800多億是杯水車薪不夠的啊你能不能提高一點做準備我們先這是第一回合啦將來看情況來講第一回合我們的表現啊大家是很失望的啊你第二回合你要強一點啊 |
transcript.whisperx[32].start |
766.274 |
transcript.whisperx[32].end |
768.458 |
transcript.whisperx[32].text |
那最後問 大罷免你會不會去參與不會 |