IVOD_ID |
161389 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/161389 |
日期 |
2025-05-14 |
會議資料.會議代碼 |
聯席會議-11-3-19,20-1 |
會議資料.會議代碼:str |
第11屆第3會期經濟、財政兩委員會第1次聯席會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
1 |
會議資料.種類 |
聯席會議 |
會議資料.委員會代碼[0] |
19 |
會議資料.委員會代碼[1] |
20 |
會議資料.委員會代碼:str[0] |
經濟委員會 |
會議資料.委員會代碼:str[1] |
財政委員會 |
會議資料.標題 |
第11屆第3會期經濟、財政兩委員會第1次聯席會議 |
影片種類 |
Clip |
開始時間 |
2025-05-14T13:52:03+08:00 |
結束時間 |
2025-05-14T14:02:03+08:00 |
影片長度 |
00:10:00 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4f2e91488ef6971babe2b3090d511492a35373469a84e2c37ba5a36b7b1a50667865746eaf850cdb5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
鄭天財Sra Kacaw |
委員發言時間 |
13:52:03 - 14:02:03 |
會議時間 |
2025-05-14T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期經濟、財政兩委員會第1次聯席會議(事由:審查:
一、行政院函請審議「因應國際情勢強化經濟社會及國土安全韌性特別條例草案」案。
二、本院國民黨黨團擬具「因應國際情勢強化經濟社會及民眾消費韌性特別條例草案」案。
三、本院台灣民眾黨黨團擬具「因應國際情勢衝擊強化經濟社會韌性特別條例草案」案。
四、本院委員蔡易餘等18人擬具「因應國際情勢強化經濟社會及國土安全韌性特別條例草案」案。
五、本院委員王美惠等17人擬具「因應國際情勢強化經濟社會及國土安全韌性特別條例草案」案。
(第一案如未獲議事處來函則不予審查,第二至第五案業經各黨團簽署不復議同意書。)(詢答)
【5月14日及5月15日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
12.97409375 |
transcript.pyannote[0].end |
13.71659375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
14.08784375 |
transcript.pyannote[1].end |
15.04971875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
15.79221875 |
transcript.pyannote[2].end |
17.64846875 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
17.69909375 |
transcript.pyannote[3].end |
18.30659375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
18.44159375 |
transcript.pyannote[4].end |
19.06596875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
19.55534375 |
transcript.pyannote[5].end |
20.04471875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
25.17471875 |
transcript.pyannote[6].end |
25.74846875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
26.06909375 |
transcript.pyannote[7].end |
27.08159375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
27.13221875 |
transcript.pyannote[8].end |
29.51159375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
31.82346875 |
transcript.pyannote[9].end |
33.22409375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
33.44346875 |
transcript.pyannote[10].end |
35.56971875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
36.64971875 |
transcript.pyannote[11].end |
38.15159375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
38.97846875 |
transcript.pyannote[12].end |
39.60284375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
40.31159375 |
transcript.pyannote[13].end |
41.07096875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
41.47596875 |
transcript.pyannote[14].end |
44.51346875 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
45.01971875 |
transcript.pyannote[15].end |
46.82534375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
47.44971875 |
transcript.pyannote[16].end |
48.58034375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
49.20471875 |
transcript.pyannote[17].end |
50.31846875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
51.07784375 |
transcript.pyannote[18].end |
52.76534375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
53.65971875 |
transcript.pyannote[19].end |
54.77346875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
55.38096875 |
transcript.pyannote[20].end |
57.23721875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
58.28346875 |
transcript.pyannote[21].end |
59.73471875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
60.42659375 |
transcript.pyannote[22].end |
61.99596875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
62.83971875 |
transcript.pyannote[23].end |
64.25721875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
64.54409375 |
transcript.pyannote[24].end |
65.55659375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
66.24846875 |
transcript.pyannote[25].end |
68.10471875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
69.28596875 |
transcript.pyannote[26].end |
69.69096875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
70.06221875 |
transcript.pyannote[27].end |
70.63596875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
71.05784375 |
transcript.pyannote[28].end |
74.71971875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
75.54659375 |
transcript.pyannote[29].end |
78.11159375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
78.75284375 |
transcript.pyannote[30].end |
79.91721875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
80.35596875 |
transcript.pyannote[31].end |
80.67659375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
80.69346875 |
transcript.pyannote[32].end |
84.16971875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
84.70971875 |
transcript.pyannote[33].end |
84.92909375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
85.65471875 |
transcript.pyannote[34].end |
86.70096875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
87.67971875 |
transcript.pyannote[35].end |
88.16909375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
88.86096875 |
transcript.pyannote[36].end |
89.51909375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
90.26159375 |
transcript.pyannote[37].end |
90.53159375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
91.30784375 |
transcript.pyannote[38].end |
92.70846875 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
93.29909375 |
transcript.pyannote[39].end |
94.27784375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
94.96971875 |
transcript.pyannote[40].end |
96.89346875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
97.50096875 |
transcript.pyannote[41].end |
99.72846875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
101.17971875 |
transcript.pyannote[42].end |
102.24284375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
102.76596875 |
transcript.pyannote[43].end |
104.52096875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
105.11159375 |
transcript.pyannote[44].end |
106.20846875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
106.78221875 |
transcript.pyannote[45].end |
108.63846875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
109.26284375 |
transcript.pyannote[46].end |
110.22471875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
111.35534375 |
transcript.pyannote[47].end |
112.63784375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
113.46471875 |
transcript.pyannote[48].end |
114.88221875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
115.05096875 |
transcript.pyannote[49].end |
115.37159375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
115.94534375 |
transcript.pyannote[50].end |
117.04221875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
117.48096875 |
transcript.pyannote[51].end |
119.01659375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
119.69159375 |
transcript.pyannote[52].end |
121.91909375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
122.72909375 |
transcript.pyannote[53].end |
124.46721875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
124.65284375 |
transcript.pyannote[54].end |
125.05784375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
125.39534375 |
transcript.pyannote[55].end |
131.82471875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
132.19596875 |
transcript.pyannote[56].end |
133.44471875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
134.52471875 |
transcript.pyannote[57].end |
136.68471875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
137.51159375 |
transcript.pyannote[58].end |
138.62534375 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
138.79409375 |
transcript.pyannote[59].end |
139.04721875 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
139.97534375 |
transcript.pyannote[60].end |
140.32971875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
142.97909375 |
transcript.pyannote[61].end |
143.89034375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
143.97471875 |
transcript.pyannote[62].end |
144.54846875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
144.93659375 |
transcript.pyannote[63].end |
145.29096875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
145.89846875 |
transcript.pyannote[64].end |
147.41721875 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
147.80534375 |
transcript.pyannote[65].end |
149.39159375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
150.52221875 |
transcript.pyannote[66].end |
151.01159375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
151.58534375 |
transcript.pyannote[67].end |
153.44159375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
154.53846875 |
transcript.pyannote[68].end |
156.12471875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
156.73221875 |
transcript.pyannote[69].end |
157.71096875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
158.41971875 |
transcript.pyannote[70].end |
159.14534375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
159.61784375 |
transcript.pyannote[71].end |
160.54596875 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
161.50784375 |
transcript.pyannote[72].end |
164.14034375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
164.81534375 |
transcript.pyannote[73].end |
167.00909375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
167.49846875 |
transcript.pyannote[74].end |
169.40534375 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
170.04659375 |
transcript.pyannote[75].end |
170.35034375 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
171.09284375 |
transcript.pyannote[76].end |
173.40471875 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
174.28221875 |
transcript.pyannote[77].end |
174.53534375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
174.75471875 |
transcript.pyannote[78].end |
177.37034375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
178.12971875 |
transcript.pyannote[79].end |
178.39971875 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
180.22221875 |
transcript.pyannote[80].end |
180.52596875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
181.42034375 |
transcript.pyannote[81].end |
183.04034375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
183.27659375 |
transcript.pyannote[82].end |
184.74471875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
185.31846875 |
transcript.pyannote[83].end |
189.35159375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
189.72284375 |
transcript.pyannote[84].end |
192.49034375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
193.13159375 |
transcript.pyannote[85].end |
194.71784375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
195.37596875 |
transcript.pyannote[86].end |
196.08471875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
196.65846875 |
transcript.pyannote[87].end |
199.12221875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
199.61159375 |
transcript.pyannote[88].end |
200.47221875 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
201.01221875 |
transcript.pyannote[89].end |
203.71221875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
204.79221875 |
transcript.pyannote[90].end |
206.54721875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
206.95221875 |
transcript.pyannote[91].end |
208.94346875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
209.55096875 |
transcript.pyannote[92].end |
211.40721875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
212.06534375 |
transcript.pyannote[93].end |
213.88784375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
214.29284375 |
transcript.pyannote[94].end |
216.75659375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
216.90846875 |
transcript.pyannote[95].end |
218.89971875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
219.43971875 |
transcript.pyannote[96].end |
220.78971875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
221.16096875 |
transcript.pyannote[97].end |
223.35471875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
223.96221875 |
transcript.pyannote[98].end |
227.99534375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
228.99096875 |
transcript.pyannote[99].end |
231.15096875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
231.45471875 |
transcript.pyannote[100].end |
234.07034375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
236.77034375 |
transcript.pyannote[101].end |
237.29346875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
237.83346875 |
transcript.pyannote[102].end |
243.31784375 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
243.67221875 |
transcript.pyannote[103].end |
245.86596875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
246.27096875 |
transcript.pyannote[104].end |
248.07659375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
250.37159375 |
transcript.pyannote[105].end |
251.46846875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
252.21096875 |
transcript.pyannote[106].end |
253.79721875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
254.77596875 |
transcript.pyannote[107].end |
255.90659375 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
256.48034375 |
transcript.pyannote[108].end |
257.45909375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
258.13409375 |
transcript.pyannote[109].end |
258.87659375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
259.93971875 |
transcript.pyannote[110].end |
263.38221875 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
264.52971875 |
transcript.pyannote[111].end |
270.41909375 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
270.94221875 |
transcript.pyannote[112].end |
273.03471875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
274.16534375 |
transcript.pyannote[113].end |
275.81909375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
276.47721875 |
transcript.pyannote[114].end |
276.78096875 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
276.84846875 |
transcript.pyannote[115].end |
279.22784375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
280.98284375 |
transcript.pyannote[116].end |
283.81784375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
284.34096875 |
transcript.pyannote[117].end |
285.30284375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
286.31534375 |
transcript.pyannote[118].end |
288.52596875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
288.91409375 |
transcript.pyannote[119].end |
290.88846875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
291.59721875 |
transcript.pyannote[120].end |
292.39034375 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
292.64346875 |
transcript.pyannote[121].end |
293.03159375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
293.06534375 |
transcript.pyannote[122].end |
293.87534375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
294.87096875 |
transcript.pyannote[123].end |
295.15784375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
295.51221875 |
transcript.pyannote[124].end |
296.94659375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
298.12784375 |
transcript.pyannote[125].end |
303.61221875 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
304.15221875 |
transcript.pyannote[126].end |
306.44721875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
307.98284375 |
transcript.pyannote[127].end |
308.42159375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
308.53971875 |
transcript.pyannote[128].end |
310.36221875 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
311.37471875 |
transcript.pyannote[129].end |
312.45471875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
313.39971875 |
transcript.pyannote[130].end |
313.70346875 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
314.59784375 |
transcript.pyannote[131].end |
316.30221875 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
317.53409375 |
transcript.pyannote[132].end |
319.74471875 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
320.80784375 |
transcript.pyannote[133].end |
322.24221875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
323.47409375 |
transcript.pyannote[134].end |
324.03096875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
325.61721875 |
transcript.pyannote[135].end |
326.07284375 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
326.89971875 |
transcript.pyannote[136].end |
327.35534375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
328.55346875 |
transcript.pyannote[137].end |
330.86534375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
332.35034375 |
transcript.pyannote[138].end |
333.09284375 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
333.39659375 |
transcript.pyannote[139].end |
334.81409375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
335.45534375 |
transcript.pyannote[140].end |
336.85596875 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
337.59846875 |
transcript.pyannote[141].end |
339.53909375 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
340.34909375 |
transcript.pyannote[142].end |
341.49659375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
342.82971875 |
transcript.pyannote[143].end |
343.60596875 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
345.07409375 |
transcript.pyannote[144].end |
345.98534375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
346.42409375 |
transcript.pyannote[145].end |
347.67284375 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
348.34784375 |
transcript.pyannote[146].end |
349.07346875 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
349.66409375 |
transcript.pyannote[147].end |
351.97596875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
352.54971875 |
transcript.pyannote[148].end |
353.52846875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
354.11909375 |
transcript.pyannote[149].end |
355.84034375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
356.34659375 |
transcript.pyannote[150].end |
358.92846875 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
359.51909375 |
transcript.pyannote[151].end |
363.65346875 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
365.13846875 |
transcript.pyannote[152].end |
365.39159375 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
365.59409375 |
transcript.pyannote[153].end |
366.37034375 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
368.05784375 |
transcript.pyannote[154].end |
368.85096875 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
369.50909375 |
transcript.pyannote[155].end |
372.22596875 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
372.41159375 |
transcript.pyannote[156].end |
377.30534375 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
377.54159375 |
transcript.pyannote[157].end |
378.55409375 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
379.43159375 |
transcript.pyannote[158].end |
380.05596875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
380.12346875 |
transcript.pyannote[159].end |
380.17409375 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
380.68034375 |
transcript.pyannote[160].end |
384.71346875 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
385.96221875 |
transcript.pyannote[161].end |
389.40471875 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
389.82659375 |
transcript.pyannote[162].end |
390.85596875 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
391.66596875 |
transcript.pyannote[163].end |
393.85971875 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
394.58534375 |
transcript.pyannote[164].end |
396.45846875 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
396.84659375 |
transcript.pyannote[165].end |
397.30221875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
397.72409375 |
transcript.pyannote[166].end |
400.15409375 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
400.93034375 |
transcript.pyannote[167].end |
401.97659375 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
402.43221875 |
transcript.pyannote[168].end |
405.40221875 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
406.70159375 |
transcript.pyannote[169].end |
410.05971875 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
410.48159375 |
transcript.pyannote[170].end |
413.11409375 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
413.63721875 |
transcript.pyannote[171].end |
415.12221875 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
415.69596875 |
transcript.pyannote[172].end |
417.26534375 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
417.75471875 |
transcript.pyannote[173].end |
422.58096875 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
423.22221875 |
transcript.pyannote[174].end |
425.14596875 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
425.48346875 |
transcript.pyannote[175].end |
429.21284375 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
429.82034375 |
transcript.pyannote[176].end |
433.53284375 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
434.86596875 |
transcript.pyannote[177].end |
439.84409375 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
441.26159375 |
transcript.pyannote[178].end |
441.54846875 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
442.37534375 |
transcript.pyannote[179].end |
442.99971875 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
443.47221875 |
transcript.pyannote[180].end |
444.78846875 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
445.64909375 |
transcript.pyannote[181].end |
450.86346875 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
451.72409375 |
transcript.pyannote[182].end |
452.66909375 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
453.52971875 |
transcript.pyannote[183].end |
455.30159375 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
455.68971875 |
transcript.pyannote[184].end |
459.04784375 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
459.65534375 |
transcript.pyannote[185].end |
463.28346875 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
463.60409375 |
transcript.pyannote[186].end |
464.24534375 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
465.42659375 |
transcript.pyannote[187].end |
467.18159375 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
467.85659375 |
transcript.pyannote[188].end |
468.41346875 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
469.69596875 |
transcript.pyannote[189].end |
470.32034375 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
470.80971875 |
transcript.pyannote[190].end |
474.04971875 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
474.64034375 |
transcript.pyannote[191].end |
476.54721875 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
477.42471875 |
transcript.pyannote[192].end |
478.11659375 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
479.95596875 |
transcript.pyannote[193].end |
480.88409375 |
transcript.pyannote[194].speaker |
SPEAKER_00 |
transcript.pyannote[194].start |
481.50846875 |
transcript.pyannote[194].end |
483.65159375 |
transcript.pyannote[195].speaker |
SPEAKER_00 |
transcript.pyannote[195].start |
485.86221875 |
transcript.pyannote[195].end |
494.06346875 |
transcript.pyannote[196].speaker |
SPEAKER_00 |
transcript.pyannote[196].start |
494.90721875 |
transcript.pyannote[196].end |
496.98284375 |
transcript.pyannote[197].speaker |
SPEAKER_00 |
transcript.pyannote[197].start |
498.46784375 |
transcript.pyannote[197].end |
502.23096875 |
transcript.pyannote[198].speaker |
SPEAKER_00 |
transcript.pyannote[198].start |
502.87221875 |
transcript.pyannote[198].end |
503.96909375 |
transcript.pyannote[199].speaker |
SPEAKER_00 |
transcript.pyannote[199].start |
504.35721875 |
transcript.pyannote[199].end |
506.71971875 |
transcript.pyannote[200].speaker |
SPEAKER_00 |
transcript.pyannote[200].start |
507.25971875 |
transcript.pyannote[200].end |
508.28909375 |
transcript.pyannote[201].speaker |
SPEAKER_00 |
transcript.pyannote[201].start |
508.74471875 |
transcript.pyannote[201].end |
509.13284375 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
509.95971875 |
transcript.pyannote[202].end |
514.43159375 |
transcript.pyannote[203].speaker |
SPEAKER_00 |
transcript.pyannote[203].start |
514.90409375 |
transcript.pyannote[203].end |
515.56221875 |
transcript.pyannote[204].speaker |
SPEAKER_00 |
transcript.pyannote[204].start |
516.38909375 |
transcript.pyannote[204].end |
517.99221875 |
transcript.pyannote[205].speaker |
SPEAKER_00 |
transcript.pyannote[205].start |
518.54909375 |
transcript.pyannote[205].end |
520.20284375 |
transcript.pyannote[206].speaker |
SPEAKER_00 |
transcript.pyannote[206].start |
520.75971875 |
transcript.pyannote[206].end |
522.14346875 |
transcript.pyannote[207].speaker |
SPEAKER_00 |
transcript.pyannote[207].start |
522.24471875 |
transcript.pyannote[207].end |
523.15596875 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
524.35409375 |
transcript.pyannote[208].end |
524.65784375 |
transcript.pyannote[209].speaker |
SPEAKER_00 |
transcript.pyannote[209].start |
524.91096875 |
transcript.pyannote[209].end |
527.22284375 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
527.71221875 |
transcript.pyannote[210].end |
529.09596875 |
transcript.pyannote[211].speaker |
SPEAKER_00 |
transcript.pyannote[211].start |
529.33221875 |
transcript.pyannote[211].end |
530.09159375 |
transcript.pyannote[212].speaker |
SPEAKER_00 |
transcript.pyannote[212].start |
530.19284375 |
transcript.pyannote[212].end |
531.47534375 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
532.16721875 |
transcript.pyannote[213].end |
533.07846875 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
533.65221875 |
transcript.pyannote[214].end |
534.59721875 |
transcript.pyannote[215].speaker |
SPEAKER_00 |
transcript.pyannote[215].start |
535.03596875 |
transcript.pyannote[215].end |
535.55909375 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
536.09909375 |
transcript.pyannote[216].end |
536.90909375 |
transcript.pyannote[217].speaker |
SPEAKER_00 |
transcript.pyannote[217].start |
538.34346875 |
transcript.pyannote[217].end |
538.98471875 |
transcript.pyannote[218].speaker |
SPEAKER_00 |
transcript.pyannote[218].start |
540.80721875 |
transcript.pyannote[218].end |
543.52409375 |
transcript.pyannote[219].speaker |
SPEAKER_00 |
transcript.pyannote[219].start |
545.36346875 |
transcript.pyannote[219].end |
546.89909375 |
transcript.pyannote[220].speaker |
SPEAKER_00 |
transcript.pyannote[220].start |
547.55721875 |
transcript.pyannote[220].end |
548.92409375 |
transcript.pyannote[221].speaker |
SPEAKER_00 |
transcript.pyannote[221].start |
549.17721875 |
transcript.pyannote[221].end |
550.17284375 |
transcript.pyannote[222].speaker |
SPEAKER_00 |
transcript.pyannote[222].start |
550.69596875 |
transcript.pyannote[222].end |
555.64034375 |
transcript.pyannote[223].speaker |
SPEAKER_00 |
transcript.pyannote[223].start |
556.07909375 |
transcript.pyannote[223].end |
559.20096875 |
transcript.pyannote[224].speaker |
SPEAKER_01 |
transcript.pyannote[224].start |
556.12971875 |
transcript.pyannote[224].end |
556.16346875 |
transcript.pyannote[225].speaker |
SPEAKER_01 |
transcript.pyannote[225].start |
556.18034375 |
transcript.pyannote[225].end |
556.87221875 |
transcript.pyannote[226].speaker |
SPEAKER_01 |
transcript.pyannote[226].start |
559.70721875 |
transcript.pyannote[226].end |
570.03471875 |
transcript.pyannote[227].speaker |
SPEAKER_00 |
transcript.pyannote[227].start |
569.74784375 |
transcript.pyannote[227].end |
573.59534375 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
571.24971875 |
transcript.pyannote[228].end |
573.54471875 |
transcript.pyannote[229].speaker |
SPEAKER_01 |
transcript.pyannote[229].start |
573.86534375 |
transcript.pyannote[229].end |
589.91346875 |
transcript.pyannote[230].speaker |
SPEAKER_00 |
transcript.pyannote[230].start |
590.18346875 |
transcript.pyannote[230].end |
599.31284375 |