IVOD_ID |
163532 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/163532 |
日期 |
2025-08-15 |
會議資料.會議代碼 |
院會-11-3-25 |
會議資料.會議代碼:str |
第11屆第3會期第25次會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
25 |
會議資料.種類 |
院會 |
會議資料.標題 |
第11屆第3會期第25次會議 |
影片種類 |
Clip |
開始時間 |
2025-08-15T15:19:30+08:00 |
結束時間 |
2025-08-15T15:35:06+08:00 |
影片長度 |
00:15:36 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/feafe23bd7168de68d95b7e5bda7242018cf3659852ed25088e117da0b2e7151581072cc072802035ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
賴士葆 |
委員發言時間 |
15:19:30 - 15:35:06 |
會議時間 |
2025-08-15T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第25次會議(事由:一、行政院院長提出「新世代打擊詐欺策略行動綱領2.0執行成效」專案報告並備質詢(8月15日)。二、行政院院長提出「全額撥付114年度對地方政府之一般性補助款及原住民族地區基本設施維持費等相關事宜」專案報告並備質詢(8月19日)。) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
4.18221875 |
transcript.pyannote[0].end |
7.10159375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
4.57034375 |
transcript.pyannote[1].end |
5.31284375 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
7.30409375 |
transcript.pyannote[2].end |
10.72971875 |
transcript.pyannote[3].speaker |
SPEAKER_03 |
transcript.pyannote[3].start |
10.66221875 |
transcript.pyannote[3].end |
12.75471875 |
transcript.pyannote[4].speaker |
SPEAKER_02 |
transcript.pyannote[4].start |
24.39846875 |
transcript.pyannote[4].end |
24.97221875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
25.56284375 |
transcript.pyannote[5].end |
33.64596875 |
transcript.pyannote[6].speaker |
SPEAKER_02 |
transcript.pyannote[6].start |
28.78596875 |
transcript.pyannote[6].end |
29.46096875 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
34.54034375 |
transcript.pyannote[7].end |
35.02971875 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
35.51909375 |
transcript.pyannote[8].end |
36.97034375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
37.40909375 |
transcript.pyannote[9].end |
38.70846875 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
38.75909375 |
transcript.pyannote[10].end |
39.31596875 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
39.75471875 |
transcript.pyannote[11].end |
41.18909375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
41.29034375 |
transcript.pyannote[12].end |
41.62784375 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
42.10034375 |
transcript.pyannote[13].end |
44.19284375 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
44.71596875 |
transcript.pyannote[14].end |
48.74909375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
49.05284375 |
transcript.pyannote[15].end |
51.44909375 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
52.02284375 |
transcript.pyannote[16].end |
63.66659375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
63.98721875 |
transcript.pyannote[17].end |
68.47596875 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
68.62784375 |
transcript.pyannote[18].end |
71.81721875 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
72.66096875 |
transcript.pyannote[19].end |
75.05721875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
75.54659375 |
transcript.pyannote[20].end |
78.34784375 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
79.36034375 |
transcript.pyannote[21].end |
80.94659375 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
81.72284375 |
transcript.pyannote[22].end |
84.45659375 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
84.64221875 |
transcript.pyannote[23].end |
85.31721875 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
85.89096875 |
transcript.pyannote[24].end |
91.25721875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
91.93221875 |
transcript.pyannote[25].end |
95.00346875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
95.56034375 |
transcript.pyannote[26].end |
96.97784375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
97.56846875 |
transcript.pyannote[27].end |
98.46284375 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
98.81721875 |
transcript.pyannote[28].end |
102.17534375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
102.93471875 |
transcript.pyannote[29].end |
103.59284375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
104.18346875 |
transcript.pyannote[30].end |
104.77409375 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
104.89221875 |
transcript.pyannote[31].end |
106.76534375 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
106.93409375 |
transcript.pyannote[32].end |
108.16596875 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
108.72284375 |
transcript.pyannote[33].end |
111.32159375 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
112.67159375 |
transcript.pyannote[34].end |
113.80221875 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
114.17346875 |
transcript.pyannote[35].end |
114.73034375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
115.38846875 |
transcript.pyannote[36].end |
116.89034375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
117.53159375 |
transcript.pyannote[37].end |
118.54409375 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
119.75909375 |
transcript.pyannote[38].end |
128.31471875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
129.14159375 |
transcript.pyannote[39].end |
130.81221875 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
132.04409375 |
transcript.pyannote[40].end |
135.67221875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
135.95909375 |
transcript.pyannote[41].end |
137.00534375 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
138.03471875 |
transcript.pyannote[42].end |
138.64221875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
139.03034375 |
transcript.pyannote[43].end |
141.35909375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
141.83159375 |
transcript.pyannote[44].end |
143.40096875 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
144.21096875 |
transcript.pyannote[45].end |
145.49346875 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
145.88159375 |
transcript.pyannote[46].end |
147.14721875 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
147.38346875 |
transcript.pyannote[47].end |
150.45471875 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
150.67409375 |
transcript.pyannote[48].end |
157.62659375 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
157.99784375 |
transcript.pyannote[49].end |
160.27596875 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
161.00159375 |
transcript.pyannote[50].end |
162.89159375 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
163.44846875 |
transcript.pyannote[51].end |
164.73096875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
164.96721875 |
transcript.pyannote[52].end |
167.90346875 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
169.43909375 |
transcript.pyannote[53].end |
171.53159375 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
171.95346875 |
transcript.pyannote[54].end |
172.51034375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
172.67909375 |
transcript.pyannote[55].end |
174.14721875 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
175.04159375 |
transcript.pyannote[56].end |
176.27346875 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
177.11721875 |
transcript.pyannote[57].end |
177.94409375 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
179.04096875 |
transcript.pyannote[58].end |
180.10409375 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
180.81284375 |
transcript.pyannote[59].end |
182.21346875 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
182.39909375 |
transcript.pyannote[60].end |
184.77846875 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
184.91346875 |
transcript.pyannote[61].end |
186.24659375 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
186.38159375 |
transcript.pyannote[62].end |
188.40659375 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
189.73971875 |
transcript.pyannote[63].end |
191.10659375 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
192.40596875 |
transcript.pyannote[64].end |
194.61659375 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
195.57846875 |
transcript.pyannote[65].end |
196.43909375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
196.50659375 |
transcript.pyannote[66].end |
197.72159375 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
198.73409375 |
transcript.pyannote[67].end |
199.78034375 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
200.35409375 |
transcript.pyannote[68].end |
201.16409375 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
201.70409375 |
transcript.pyannote[69].end |
202.75034375 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
203.23971875 |
transcript.pyannote[70].end |
206.46284375 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
207.79596875 |
transcript.pyannote[71].end |
209.28096875 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
209.29784375 |
transcript.pyannote[72].end |
212.57159375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
213.75284375 |
transcript.pyannote[73].end |
214.81596875 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
215.89596875 |
transcript.pyannote[74].end |
221.90346875 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
222.86534375 |
transcript.pyannote[75].end |
225.19409375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
225.86909375 |
transcript.pyannote[76].end |
227.08409375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
228.19784375 |
transcript.pyannote[77].end |
230.10471875 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
230.39159375 |
transcript.pyannote[78].end |
231.48846875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
232.73721875 |
transcript.pyannote[79].end |
233.59784375 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
234.40784375 |
transcript.pyannote[80].end |
235.48784375 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
236.11221875 |
transcript.pyannote[81].end |
238.82909375 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
240.12846875 |
transcript.pyannote[82].end |
241.12409375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
241.96784375 |
transcript.pyannote[83].end |
243.23346875 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
243.97596875 |
transcript.pyannote[84].end |
245.27534375 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
245.46096875 |
transcript.pyannote[85].end |
246.40596875 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
245.61284375 |
transcript.pyannote[86].end |
245.81534375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
246.64221875 |
transcript.pyannote[87].end |
247.55346875 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
248.16096875 |
transcript.pyannote[88].end |
248.63346875 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
249.64596875 |
transcript.pyannote[89].end |
252.31221875 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
252.75096875 |
transcript.pyannote[90].end |
257.34096875 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
257.72909375 |
transcript.pyannote[91].end |
262.18409375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
262.50471875 |
transcript.pyannote[92].end |
264.32721875 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
264.83346875 |
transcript.pyannote[93].end |
268.02284375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
268.37721875 |
transcript.pyannote[94].end |
270.75659375 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
271.38096875 |
transcript.pyannote[95].end |
272.34284375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
273.70971875 |
transcript.pyannote[96].end |
275.27909375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
275.88659375 |
transcript.pyannote[97].end |
277.47284375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
278.16471875 |
transcript.pyannote[98].end |
281.37096875 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
281.67471875 |
transcript.pyannote[99].end |
284.32409375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
285.03284375 |
transcript.pyannote[100].end |
290.34846875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
290.60159375 |
transcript.pyannote[101].end |
298.34721875 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
298.63409375 |
transcript.pyannote[102].end |
300.82784375 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
301.14846875 |
transcript.pyannote[103].end |
301.95846875 |
transcript.pyannote[104].speaker |
SPEAKER_02 |
transcript.pyannote[104].start |
301.31721875 |
transcript.pyannote[104].end |
303.49409375 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
302.39721875 |
transcript.pyannote[105].end |
302.41409375 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
303.25784375 |
transcript.pyannote[106].end |
304.03409375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
304.16909375 |
transcript.pyannote[107].end |
307.34159375 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
304.27034375 |
transcript.pyannote[108].end |
305.95784375 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
307.54409375 |
transcript.pyannote[109].end |
309.38346875 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
307.96596875 |
transcript.pyannote[110].end |
308.05034375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
308.70846875 |
transcript.pyannote[111].end |
310.76721875 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
311.35784375 |
transcript.pyannote[112].end |
313.16346875 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
314.09159375 |
transcript.pyannote[113].end |
315.25596875 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
316.01534375 |
transcript.pyannote[114].end |
316.48784375 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
316.67346875 |
transcript.pyannote[115].end |
318.74909375 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
319.03596875 |
transcript.pyannote[116].end |
320.95971875 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
321.55034375 |
transcript.pyannote[117].end |
322.71471875 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
323.47409375 |
transcript.pyannote[118].end |
325.16159375 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
325.83659375 |
transcript.pyannote[119].end |
327.22034375 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
327.92909375 |
transcript.pyannote[120].end |
330.27471875 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
329.93721875 |
transcript.pyannote[121].end |
330.10596875 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
330.57846875 |
transcript.pyannote[122].end |
334.32471875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
333.09284375 |
transcript.pyannote[123].end |
333.44721875 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
334.96596875 |
transcript.pyannote[124].end |
336.11346875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
336.38346875 |
transcript.pyannote[125].end |
336.77159375 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
337.21034375 |
transcript.pyannote[126].end |
338.86409375 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
340.21409375 |
transcript.pyannote[127].end |
341.58096875 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
342.54284375 |
transcript.pyannote[128].end |
346.03596875 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
346.98096875 |
transcript.pyannote[129].end |
348.60096875 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
348.90471875 |
transcript.pyannote[130].end |
350.77784375 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
351.65534375 |
transcript.pyannote[131].end |
354.35534375 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
354.76034375 |
transcript.pyannote[132].end |
356.05971875 |
transcript.pyannote[133].speaker |
SPEAKER_03 |
transcript.pyannote[133].start |
354.82784375 |
transcript.pyannote[133].end |
355.38471875 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
358.67534375 |
transcript.pyannote[134].end |
359.73846875 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
360.27846875 |
transcript.pyannote[135].end |
361.15596875 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
361.45971875 |
transcript.pyannote[136].end |
363.06284375 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
364.17659375 |
transcript.pyannote[137].end |
364.93596875 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
365.61096875 |
transcript.pyannote[138].end |
368.22659375 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
368.47971875 |
transcript.pyannote[139].end |
371.36534375 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
373.42409375 |
transcript.pyannote[140].end |
374.72346875 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
376.20846875 |
transcript.pyannote[141].end |
377.23784375 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
377.40659375 |
transcript.pyannote[142].end |
378.18284375 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
378.97596875 |
transcript.pyannote[143].end |
380.37659375 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
381.18659375 |
transcript.pyannote[144].end |
381.69284375 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
382.06409375 |
transcript.pyannote[145].end |
383.70096875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
384.24096875 |
transcript.pyannote[146].end |
386.06346875 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
387.04221875 |
transcript.pyannote[147].end |
388.18971875 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
389.45534375 |
transcript.pyannote[148].end |
394.43346875 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
395.02409375 |
transcript.pyannote[149].end |
404.94659375 |
transcript.pyannote[150].speaker |
SPEAKER_03 |
transcript.pyannote[150].start |
404.94659375 |
transcript.pyannote[150].end |
405.62159375 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
405.18284375 |
transcript.pyannote[151].end |
410.71784375 |
transcript.pyannote[152].speaker |
SPEAKER_03 |
transcript.pyannote[152].start |
407.47784375 |
transcript.pyannote[152].end |
409.19909375 |
transcript.pyannote[153].speaker |
SPEAKER_03 |
transcript.pyannote[153].start |
411.20721875 |
transcript.pyannote[153].end |
411.30846875 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
411.39284375 |
transcript.pyannote[154].end |
415.56096875 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
416.84346875 |
transcript.pyannote[155].end |
417.56909375 |
transcript.pyannote[156].speaker |
SPEAKER_03 |
transcript.pyannote[156].start |
417.02909375 |
transcript.pyannote[156].end |
419.40846875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
418.56471875 |
transcript.pyannote[157].end |
420.77534375 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
420.82596875 |
transcript.pyannote[158].end |
420.84284375 |
transcript.pyannote[159].speaker |
SPEAKER_03 |
transcript.pyannote[159].start |
420.84284375 |
transcript.pyannote[159].end |
421.02846875 |
transcript.pyannote[160].speaker |
SPEAKER_02 |
transcript.pyannote[160].start |
421.02846875 |
transcript.pyannote[160].end |
421.28159375 |
transcript.pyannote[161].speaker |
SPEAKER_03 |
transcript.pyannote[161].start |
421.28159375 |
transcript.pyannote[161].end |
421.43346875 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
421.43346875 |
transcript.pyannote[162].end |
421.48409375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
421.48409375 |
transcript.pyannote[163].end |
423.61034375 |
transcript.pyannote[164].speaker |
SPEAKER_02 |
transcript.pyannote[164].start |
421.51784375 |
transcript.pyannote[164].end |
421.60221875 |
transcript.pyannote[165].speaker |
SPEAKER_03 |
transcript.pyannote[165].start |
421.60221875 |
transcript.pyannote[165].end |
421.65284375 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
423.96471875 |
transcript.pyannote[166].end |
425.80409375 |
transcript.pyannote[167].speaker |
SPEAKER_02 |
transcript.pyannote[167].start |
424.06596875 |
transcript.pyannote[167].end |
424.15034375 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
426.90096875 |
transcript.pyannote[168].end |
434.02221875 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
434.30909375 |
transcript.pyannote[169].end |
438.24096875 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
438.93284375 |
transcript.pyannote[170].end |
441.36284375 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
441.95346875 |
transcript.pyannote[171].end |
444.40034375 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
445.10909375 |
transcript.pyannote[172].end |
446.57721875 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
447.15096875 |
transcript.pyannote[173].end |
450.72846875 |
transcript.pyannote[174].speaker |
SPEAKER_03 |
transcript.pyannote[174].start |
451.20096875 |
transcript.pyannote[174].end |
451.94346875 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
451.94346875 |
transcript.pyannote[175].end |
453.96846875 |
transcript.pyannote[176].speaker |
SPEAKER_03 |
transcript.pyannote[176].start |
453.44534375 |
transcript.pyannote[176].end |
463.21596875 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
461.54534375 |
transcript.pyannote[177].end |
463.09784375 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
463.21596875 |
transcript.pyannote[178].end |
463.45221875 |
transcript.pyannote[179].speaker |
SPEAKER_03 |
transcript.pyannote[179].start |
463.45221875 |
transcript.pyannote[179].end |
468.09284375 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
463.60409375 |
transcript.pyannote[180].end |
463.97534375 |
transcript.pyannote[181].speaker |
SPEAKER_02 |
transcript.pyannote[181].start |
468.09284375 |
transcript.pyannote[181].end |
470.32034375 |
transcript.pyannote[182].speaker |
SPEAKER_02 |
transcript.pyannote[182].start |
470.48909375 |
transcript.pyannote[182].end |
473.71221875 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
474.08346875 |
transcript.pyannote[183].end |
478.92659375 |
transcript.pyannote[184].speaker |
SPEAKER_02 |
transcript.pyannote[184].start |
478.92659375 |
transcript.pyannote[184].end |
480.15846875 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
479.04471875 |
transcript.pyannote[185].end |
485.03534375 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
485.22096875 |
transcript.pyannote[186].end |
487.43159375 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
488.15721875 |
transcript.pyannote[187].end |
488.17409375 |
transcript.pyannote[188].speaker |
SPEAKER_03 |
transcript.pyannote[188].start |
488.17409375 |
transcript.pyannote[188].end |
491.43096875 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
488.22471875 |
transcript.pyannote[189].end |
488.42721875 |
transcript.pyannote[190].speaker |
SPEAKER_03 |
transcript.pyannote[190].start |
491.97096875 |
transcript.pyannote[190].end |
494.95784375 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
495.16034375 |
transcript.pyannote[191].end |
498.41721875 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
498.60284375 |
transcript.pyannote[192].end |
500.81346875 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
501.25221875 |
transcript.pyannote[193].end |
506.41596875 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
507.00659375 |
transcript.pyannote[194].end |
508.89659375 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
509.53784375 |
transcript.pyannote[195].end |
514.60034375 |
transcript.pyannote[196].speaker |
SPEAKER_03 |
transcript.pyannote[196].start |
509.58846875 |
transcript.pyannote[196].end |
510.87096875 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
514.83659375 |
transcript.pyannote[197].end |
515.37659375 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
515.56221875 |
transcript.pyannote[198].end |
520.03409375 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
520.08471875 |
transcript.pyannote[199].end |
523.37534375 |
transcript.pyannote[200].speaker |
SPEAKER_03 |
transcript.pyannote[200].start |
527.05409375 |
transcript.pyannote[200].end |
528.53909375 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
532.25159375 |
transcript.pyannote[201].end |
533.07846875 |
transcript.pyannote[202].speaker |
SPEAKER_01 |
transcript.pyannote[202].start |
534.98534375 |
transcript.pyannote[202].end |
538.57971875 |
transcript.pyannote[203].speaker |
SPEAKER_03 |
transcript.pyannote[203].start |
539.37284375 |
transcript.pyannote[203].end |
540.08159375 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
542.62971875 |
transcript.pyannote[204].end |
543.20346875 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
543.74346875 |
transcript.pyannote[205].end |
545.26221875 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
547.74284375 |
transcript.pyannote[206].end |
553.07534375 |
transcript.pyannote[207].speaker |
SPEAKER_01 |
transcript.pyannote[207].start |
554.37471875 |
transcript.pyannote[207].end |
554.93159375 |
transcript.pyannote[208].speaker |
SPEAKER_01 |
transcript.pyannote[208].start |
555.69096875 |
transcript.pyannote[208].end |
556.80471875 |
transcript.pyannote[209].speaker |
SPEAKER_01 |
transcript.pyannote[209].start |
557.32784375 |
transcript.pyannote[209].end |
559.96034375 |
transcript.pyannote[210].speaker |
SPEAKER_01 |
transcript.pyannote[210].start |
560.26409375 |
transcript.pyannote[210].end |
561.41159375 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
562.05284375 |
transcript.pyannote[211].end |
563.67284375 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
564.76971875 |
transcript.pyannote[212].end |
568.71846875 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
566.52471875 |
transcript.pyannote[213].end |
566.92971875 |
transcript.pyannote[214].speaker |
SPEAKER_01 |
transcript.pyannote[214].start |
569.59596875 |
transcript.pyannote[214].end |
570.97971875 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
571.46909375 |
transcript.pyannote[215].end |
575.55284375 |
transcript.pyannote[216].speaker |
SPEAKER_01 |
transcript.pyannote[216].start |
576.54846875 |
transcript.pyannote[216].end |
578.77596875 |
transcript.pyannote[217].speaker |
SPEAKER_01 |
transcript.pyannote[217].start |
578.89409375 |
transcript.pyannote[217].end |
579.45096875 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
579.67034375 |
transcript.pyannote[218].end |
582.35346875 |
transcript.pyannote[219].speaker |
SPEAKER_01 |
transcript.pyannote[219].start |
583.39971875 |
transcript.pyannote[219].end |
585.00284375 |
transcript.pyannote[220].speaker |
SPEAKER_01 |
transcript.pyannote[220].start |
585.47534375 |
transcript.pyannote[220].end |
587.73659375 |
transcript.pyannote[221].speaker |
SPEAKER_01 |
transcript.pyannote[221].start |
588.07409375 |
transcript.pyannote[221].end |
588.44534375 |
transcript.pyannote[222].speaker |
SPEAKER_01 |
transcript.pyannote[222].start |
590.41971875 |
transcript.pyannote[222].end |
591.46596875 |
transcript.pyannote[223].speaker |
SPEAKER_01 |
transcript.pyannote[223].start |
593.82846875 |
transcript.pyannote[223].end |
594.53721875 |
transcript.pyannote[224].speaker |
SPEAKER_01 |
transcript.pyannote[224].start |
595.06034375 |
transcript.pyannote[224].end |
595.66784375 |
transcript.pyannote[225].speaker |
SPEAKER_01 |
transcript.pyannote[225].start |
596.19096875 |
transcript.pyannote[225].end |
597.60846875 |
transcript.pyannote[226].speaker |
SPEAKER_01 |
transcript.pyannote[226].start |
598.87409375 |
transcript.pyannote[226].end |
599.53221875 |
transcript.pyannote[227].speaker |
SPEAKER_01 |
transcript.pyannote[227].start |
600.29159375 |
transcript.pyannote[227].end |
602.78909375 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
604.02096875 |
transcript.pyannote[228].end |
605.96159375 |
transcript.pyannote[229].speaker |
SPEAKER_01 |
transcript.pyannote[229].start |
606.36659375 |
transcript.pyannote[229].end |
611.36159375 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
611.98596875 |
transcript.pyannote[230].end |
612.40784375 |
transcript.pyannote[231].speaker |
SPEAKER_01 |
transcript.pyannote[231].start |
612.98159375 |
transcript.pyannote[231].end |
613.63971875 |
transcript.pyannote[232].speaker |
SPEAKER_01 |
transcript.pyannote[232].start |
614.29784375 |
transcript.pyannote[232].end |
615.36096875 |
transcript.pyannote[233].speaker |
SPEAKER_01 |
transcript.pyannote[233].start |
616.22159375 |
transcript.pyannote[233].end |
617.45346875 |
transcript.pyannote[234].speaker |
SPEAKER_01 |
transcript.pyannote[234].start |
618.39846875 |
transcript.pyannote[234].end |
622.48221875 |
transcript.pyannote[235].speaker |
SPEAKER_01 |
transcript.pyannote[235].start |
623.29221875 |
transcript.pyannote[235].end |
625.48596875 |
transcript.pyannote[236].speaker |
SPEAKER_01 |
transcript.pyannote[236].start |
625.90784375 |
transcript.pyannote[236].end |
627.86534375 |
transcript.pyannote[237].speaker |
SPEAKER_01 |
transcript.pyannote[237].start |
628.42221875 |
transcript.pyannote[237].end |
629.90721875 |
transcript.pyannote[238].speaker |
SPEAKER_01 |
transcript.pyannote[238].start |
630.39659375 |
transcript.pyannote[238].end |
633.73784375 |
transcript.pyannote[239].speaker |
SPEAKER_01 |
transcript.pyannote[239].start |
633.75471875 |
transcript.pyannote[239].end |
635.20596875 |
transcript.pyannote[240].speaker |
SPEAKER_01 |
transcript.pyannote[240].start |
635.98221875 |
transcript.pyannote[240].end |
639.07034375 |
transcript.pyannote[241].speaker |
SPEAKER_01 |
transcript.pyannote[241].start |
639.39096875 |
transcript.pyannote[241].end |
641.50034375 |
transcript.pyannote[242].speaker |
SPEAKER_01 |
transcript.pyannote[242].start |
641.80409375 |
transcript.pyannote[242].end |
642.17534375 |
transcript.pyannote[243].speaker |
SPEAKER_01 |
transcript.pyannote[243].start |
642.88409375 |
transcript.pyannote[243].end |
643.87971875 |
transcript.pyannote[244].speaker |
SPEAKER_01 |
transcript.pyannote[244].start |
644.23409375 |
transcript.pyannote[244].end |
645.24659375 |
transcript.pyannote[245].speaker |
SPEAKER_01 |
transcript.pyannote[245].start |
645.80346875 |
transcript.pyannote[245].end |
647.11971875 |
transcript.pyannote[246].speaker |
SPEAKER_01 |
transcript.pyannote[246].start |
647.89596875 |
transcript.pyannote[246].end |
647.96346875 |
transcript.pyannote[247].speaker |
SPEAKER_00 |
transcript.pyannote[247].start |
647.96346875 |
transcript.pyannote[247].end |
648.06471875 |
transcript.pyannote[248].speaker |
SPEAKER_01 |
transcript.pyannote[248].start |
648.06471875 |
transcript.pyannote[248].end |
648.14909375 |
transcript.pyannote[249].speaker |
SPEAKER_00 |
transcript.pyannote[249].start |
648.14909375 |
transcript.pyannote[249].end |
648.25034375 |
transcript.pyannote[250].speaker |
SPEAKER_00 |
transcript.pyannote[250].start |
648.30096875 |
transcript.pyannote[250].end |
648.63846875 |
transcript.pyannote[251].speaker |
SPEAKER_01 |
transcript.pyannote[251].start |
649.07721875 |
transcript.pyannote[251].end |
650.12346875 |
transcript.pyannote[252].speaker |
SPEAKER_01 |
transcript.pyannote[252].start |
650.66346875 |
transcript.pyannote[252].end |
652.21596875 |
transcript.pyannote[253].speaker |
SPEAKER_01 |
transcript.pyannote[253].start |
652.82346875 |
transcript.pyannote[253].end |
654.88221875 |
transcript.pyannote[254].speaker |
SPEAKER_01 |
transcript.pyannote[254].start |
655.25346875 |
transcript.pyannote[254].end |
656.50221875 |
transcript.pyannote[255].speaker |
SPEAKER_01 |
transcript.pyannote[255].start |
657.02534375 |
transcript.pyannote[255].end |
658.17284375 |
transcript.pyannote[256].speaker |
SPEAKER_01 |
transcript.pyannote[256].start |
658.34159375 |
transcript.pyannote[256].end |
659.47221875 |
transcript.pyannote[257].speaker |
SPEAKER_01 |
transcript.pyannote[257].start |
660.14721875 |
transcript.pyannote[257].end |
660.83909375 |
transcript.pyannote[258].speaker |
SPEAKER_02 |
transcript.pyannote[258].start |
661.58159375 |
transcript.pyannote[258].end |
663.18471875 |
transcript.pyannote[259].speaker |
SPEAKER_01 |
transcript.pyannote[259].start |
662.05409375 |
transcript.pyannote[259].end |
662.76284375 |
transcript.pyannote[260].speaker |
SPEAKER_01 |
transcript.pyannote[260].start |
662.94846875 |
transcript.pyannote[260].end |
663.84284375 |
transcript.pyannote[261].speaker |
SPEAKER_00 |
transcript.pyannote[261].start |
663.50534375 |
transcript.pyannote[261].end |
663.79221875 |
transcript.pyannote[262].speaker |
SPEAKER_00 |
transcript.pyannote[262].start |
664.18034375 |
transcript.pyannote[262].end |
664.70346875 |
transcript.pyannote[263].speaker |
SPEAKER_00 |
transcript.pyannote[263].start |
665.22659375 |
transcript.pyannote[263].end |
669.78284375 |
transcript.pyannote[264].speaker |
SPEAKER_00 |
transcript.pyannote[264].start |
670.35659375 |
transcript.pyannote[264].end |
674.20409375 |
transcript.pyannote[265].speaker |
SPEAKER_00 |
transcript.pyannote[265].start |
674.64284375 |
transcript.pyannote[265].end |
676.81971875 |
transcript.pyannote[266].speaker |
SPEAKER_00 |
transcript.pyannote[266].start |
677.19096875 |
transcript.pyannote[266].end |
680.19471875 |
transcript.pyannote[267].speaker |
SPEAKER_00 |
transcript.pyannote[267].start |
680.46471875 |
transcript.pyannote[267].end |
689.18909375 |
transcript.pyannote[268].speaker |
SPEAKER_00 |
transcript.pyannote[268].start |
689.37471875 |
transcript.pyannote[268].end |
690.97784375 |
transcript.pyannote[269].speaker |
SPEAKER_00 |
transcript.pyannote[269].start |
691.34909375 |
transcript.pyannote[269].end |
691.78784375 |
transcript.pyannote[270].speaker |
SPEAKER_00 |
transcript.pyannote[270].start |
692.02409375 |
transcript.pyannote[270].end |
694.04909375 |
transcript.pyannote[271].speaker |
SPEAKER_00 |
transcript.pyannote[271].start |
694.60596875 |
transcript.pyannote[271].end |
698.28471875 |
transcript.pyannote[272].speaker |
SPEAKER_00 |
transcript.pyannote[272].start |
698.77409375 |
transcript.pyannote[272].end |
700.51221875 |
transcript.pyannote[273].speaker |
SPEAKER_00 |
transcript.pyannote[273].start |
700.69784375 |
transcript.pyannote[273].end |
705.33846875 |
transcript.pyannote[274].speaker |
SPEAKER_01 |
transcript.pyannote[274].start |
704.96721875 |
transcript.pyannote[274].end |
705.32159375 |
transcript.pyannote[275].speaker |
SPEAKER_01 |
transcript.pyannote[275].start |
705.33846875 |
transcript.pyannote[275].end |
706.90784375 |
transcript.pyannote[276].speaker |
SPEAKER_00 |
transcript.pyannote[276].start |
705.59159375 |
transcript.pyannote[276].end |
708.17346875 |
transcript.pyannote[277].speaker |
SPEAKER_01 |
transcript.pyannote[277].start |
707.76846875 |
transcript.pyannote[277].end |
712.10534375 |
transcript.pyannote[278].speaker |
SPEAKER_00 |
transcript.pyannote[278].start |
712.67909375 |
transcript.pyannote[278].end |
717.52221875 |
transcript.pyannote[279].speaker |
SPEAKER_01 |
transcript.pyannote[279].start |
712.78034375 |
transcript.pyannote[279].end |
719.93534375 |
transcript.pyannote[280].speaker |
SPEAKER_00 |
transcript.pyannote[280].start |
718.45034375 |
transcript.pyannote[280].end |
718.78784375 |
transcript.pyannote[281].speaker |
SPEAKER_00 |
transcript.pyannote[281].start |
720.98159375 |
transcript.pyannote[281].end |
735.19034375 |
transcript.pyannote[282].speaker |
SPEAKER_01 |
transcript.pyannote[282].start |
735.39284375 |
transcript.pyannote[282].end |
740.23596875 |
transcript.pyannote[283].speaker |
SPEAKER_02 |
transcript.pyannote[283].start |
741.97409375 |
transcript.pyannote[283].end |
745.11284375 |
transcript.pyannote[284].speaker |
SPEAKER_00 |
transcript.pyannote[284].start |
744.33659375 |
transcript.pyannote[284].end |
747.22221875 |
transcript.pyannote[285].speaker |
SPEAKER_00 |
transcript.pyannote[285].start |
747.40784375 |
transcript.pyannote[285].end |
750.52971875 |
transcript.pyannote[286].speaker |
SPEAKER_00 |
transcript.pyannote[286].start |
750.68159375 |
transcript.pyannote[286].end |
752.97659375 |
transcript.pyannote[287].speaker |
SPEAKER_00 |
transcript.pyannote[287].start |
753.22971875 |
transcript.pyannote[287].end |
754.17471875 |
transcript.pyannote[288].speaker |
SPEAKER_00 |
transcript.pyannote[288].start |
754.44471875 |
transcript.pyannote[288].end |
757.31346875 |
transcript.pyannote[289].speaker |
SPEAKER_00 |
transcript.pyannote[289].start |
757.58346875 |
transcript.pyannote[289].end |
770.18909375 |
transcript.pyannote[290].speaker |
SPEAKER_01 |
transcript.pyannote[290].start |
769.68284375 |
transcript.pyannote[290].end |
771.26909375 |
transcript.pyannote[291].speaker |
SPEAKER_02 |
transcript.pyannote[291].start |
771.91034375 |
transcript.pyannote[291].end |
774.76221875 |
transcript.pyannote[292].speaker |
SPEAKER_01 |
transcript.pyannote[292].start |
772.06221875 |
transcript.pyannote[292].end |
772.77096875 |
transcript.pyannote[293].speaker |
SPEAKER_01 |
transcript.pyannote[293].start |
772.78784375 |
transcript.pyannote[293].end |
772.93971875 |
transcript.pyannote[294].speaker |
SPEAKER_02 |
transcript.pyannote[294].start |
775.01534375 |
transcript.pyannote[294].end |
781.24221875 |
transcript.pyannote[295].speaker |
SPEAKER_01 |
transcript.pyannote[295].start |
779.62221875 |
transcript.pyannote[295].end |
781.17471875 |
transcript.pyannote[296].speaker |
SPEAKER_01 |
transcript.pyannote[296].start |
781.47846875 |
transcript.pyannote[296].end |
781.63034375 |
transcript.pyannote[297].speaker |
SPEAKER_02 |
transcript.pyannote[297].start |
781.63034375 |
transcript.pyannote[297].end |
783.99284375 |
transcript.pyannote[298].speaker |
SPEAKER_01 |
transcript.pyannote[298].start |
784.70159375 |
transcript.pyannote[298].end |
789.02159375 |
transcript.pyannote[299].speaker |
SPEAKER_00 |
transcript.pyannote[299].start |
790.54034375 |
transcript.pyannote[299].end |
795.09659375 |
transcript.pyannote[300].speaker |
SPEAKER_01 |
transcript.pyannote[300].start |
791.97471875 |
transcript.pyannote[300].end |
796.76721875 |
transcript.pyannote[301].speaker |
SPEAKER_01 |
transcript.pyannote[301].start |
797.29034375 |
transcript.pyannote[301].end |
798.40409375 |
transcript.pyannote[302].speaker |
SPEAKER_01 |
transcript.pyannote[302].start |
799.26471875 |
transcript.pyannote[302].end |
799.58534375 |
transcript.pyannote[303].speaker |
SPEAKER_02 |
transcript.pyannote[303].start |
799.58534375 |
transcript.pyannote[303].end |
803.26409375 |
transcript.pyannote[304].speaker |
SPEAKER_01 |
transcript.pyannote[304].start |
803.29784375 |
transcript.pyannote[304].end |
804.54659375 |
transcript.pyannote[305].speaker |
SPEAKER_02 |
transcript.pyannote[305].start |
804.96846875 |
transcript.pyannote[305].end |
808.57971875 |
transcript.pyannote[306].speaker |
SPEAKER_01 |
transcript.pyannote[306].start |
806.14971875 |
transcript.pyannote[306].end |
806.84159375 |
transcript.pyannote[307].speaker |
SPEAKER_01 |
transcript.pyannote[307].start |
808.46159375 |
transcript.pyannote[307].end |
808.51221875 |
transcript.pyannote[308].speaker |
SPEAKER_01 |
transcript.pyannote[308].start |
808.57971875 |
transcript.pyannote[308].end |
809.06909375 |
transcript.pyannote[309].speaker |
SPEAKER_02 |
transcript.pyannote[309].start |
809.06909375 |
transcript.pyannote[309].end |
810.70596875 |
transcript.pyannote[310].speaker |
SPEAKER_01 |
transcript.pyannote[310].start |
809.08596875 |
transcript.pyannote[310].end |
809.74409375 |
transcript.pyannote[311].speaker |
SPEAKER_00 |
transcript.pyannote[311].start |
810.70596875 |
transcript.pyannote[311].end |
821.52284375 |
transcript.pyannote[312].speaker |
SPEAKER_02 |
transcript.pyannote[312].start |
811.70159375 |
transcript.pyannote[312].end |
812.51159375 |
transcript.pyannote[313].speaker |
SPEAKER_01 |
transcript.pyannote[313].start |
818.08034375 |
transcript.pyannote[313].end |
820.71284375 |
transcript.pyannote[314].speaker |
SPEAKER_01 |
transcript.pyannote[314].start |
821.60721875 |
transcript.pyannote[314].end |
822.07971875 |
transcript.pyannote[315].speaker |
SPEAKER_00 |
transcript.pyannote[315].start |
821.75909375 |
transcript.pyannote[315].end |
823.02471875 |
transcript.pyannote[316].speaker |
SPEAKER_01 |
transcript.pyannote[316].start |
823.76721875 |
transcript.pyannote[316].end |
826.46721875 |
transcript.pyannote[317].speaker |
SPEAKER_01 |
transcript.pyannote[317].start |
827.09159375 |
transcript.pyannote[317].end |
828.07034375 |
transcript.pyannote[318].speaker |
SPEAKER_01 |
transcript.pyannote[318].start |
828.18846875 |
transcript.pyannote[318].end |
829.03221875 |
transcript.pyannote[319].speaker |
SPEAKER_03 |
transcript.pyannote[319].start |
828.94784375 |
transcript.pyannote[319].end |
828.96471875 |
transcript.pyannote[320].speaker |
SPEAKER_03 |
transcript.pyannote[320].start |
828.98159375 |
transcript.pyannote[320].end |
829.01534375 |
transcript.pyannote[321].speaker |
SPEAKER_03 |
transcript.pyannote[321].start |
829.03221875 |
transcript.pyannote[321].end |
830.38221875 |
transcript.pyannote[322].speaker |
SPEAKER_01 |
transcript.pyannote[322].start |
832.32284375 |
transcript.pyannote[322].end |
833.72346875 |
transcript.pyannote[323].speaker |
SPEAKER_03 |
transcript.pyannote[323].start |
833.72346875 |
transcript.pyannote[323].end |
833.75721875 |
transcript.pyannote[324].speaker |
SPEAKER_00 |
transcript.pyannote[324].start |
833.75721875 |
transcript.pyannote[324].end |
834.06096875 |
transcript.pyannote[325].speaker |
SPEAKER_01 |
transcript.pyannote[325].start |
835.78221875 |
transcript.pyannote[325].end |
839.62971875 |
transcript.pyannote[326].speaker |
SPEAKER_01 |
transcript.pyannote[326].start |
840.16971875 |
transcript.pyannote[326].end |
843.27471875 |
transcript.pyannote[327].speaker |
SPEAKER_01 |
transcript.pyannote[327].start |
844.13534375 |
transcript.pyannote[327].end |
846.48096875 |
transcript.pyannote[328].speaker |
SPEAKER_01 |
transcript.pyannote[328].start |
847.10534375 |
transcript.pyannote[328].end |
848.64096875 |
transcript.pyannote[329].speaker |
SPEAKER_01 |
transcript.pyannote[329].start |
849.13034375 |
transcript.pyannote[329].end |
850.63221875 |
transcript.pyannote[330].speaker |
SPEAKER_01 |
transcript.pyannote[330].start |
850.95284375 |
transcript.pyannote[330].end |
853.24784375 |
transcript.pyannote[331].speaker |
SPEAKER_03 |
transcript.pyannote[331].start |
853.26471875 |
transcript.pyannote[331].end |
853.51784375 |
transcript.pyannote[332].speaker |
SPEAKER_03 |
transcript.pyannote[332].start |
853.63596875 |
transcript.pyannote[332].end |
858.81659375 |
transcript.pyannote[333].speaker |
SPEAKER_03 |
transcript.pyannote[333].start |
859.03596875 |
transcript.pyannote[333].end |
861.38159375 |
transcript.pyannote[334].speaker |
SPEAKER_03 |
transcript.pyannote[334].start |
861.66846875 |
transcript.pyannote[334].end |
862.19159375 |
transcript.pyannote[335].speaker |
SPEAKER_03 |
transcript.pyannote[335].start |
862.29284375 |
transcript.pyannote[335].end |
866.29221875 |
transcript.pyannote[336].speaker |
SPEAKER_03 |
transcript.pyannote[336].start |
866.32596875 |
transcript.pyannote[336].end |
868.77284375 |
transcript.pyannote[337].speaker |
SPEAKER_03 |
transcript.pyannote[337].start |
868.87409375 |
transcript.pyannote[337].end |
871.77659375 |
transcript.pyannote[338].speaker |
SPEAKER_03 |
transcript.pyannote[338].start |
872.21534375 |
transcript.pyannote[338].end |
873.39659375 |
transcript.pyannote[339].speaker |
SPEAKER_03 |
transcript.pyannote[339].start |
873.83534375 |
transcript.pyannote[339].end |
875.86034375 |
transcript.pyannote[340].speaker |
SPEAKER_03 |
transcript.pyannote[340].start |
875.99534375 |
transcript.pyannote[340].end |
881.39534375 |
transcript.pyannote[341].speaker |
SPEAKER_01 |
transcript.pyannote[341].start |
880.43346875 |
transcript.pyannote[341].end |
882.57659375 |
transcript.pyannote[342].speaker |
SPEAKER_03 |
transcript.pyannote[342].start |
882.45846875 |
transcript.pyannote[342].end |
885.32721875 |
transcript.pyannote[343].speaker |
SPEAKER_01 |
transcript.pyannote[343].start |
883.18409375 |
transcript.pyannote[343].end |
883.45409375 |
transcript.pyannote[344].speaker |
SPEAKER_01 |
transcript.pyannote[344].start |
884.71971875 |
transcript.pyannote[344].end |
886.25534375 |
transcript.pyannote[345].speaker |
SPEAKER_03 |
transcript.pyannote[345].start |
886.25534375 |
transcript.pyannote[345].end |
889.09034375 |
transcript.pyannote[346].speaker |
SPEAKER_01 |
transcript.pyannote[346].start |
888.46596875 |
transcript.pyannote[346].end |
889.69784375 |
transcript.pyannote[347].speaker |
SPEAKER_03 |
transcript.pyannote[347].start |
890.15346875 |
transcript.pyannote[347].end |
890.47409375 |
transcript.pyannote[348].speaker |
SPEAKER_01 |
transcript.pyannote[348].start |
890.20409375 |
transcript.pyannote[348].end |
890.42346875 |
transcript.pyannote[349].speaker |
SPEAKER_01 |
transcript.pyannote[349].start |
890.47409375 |
transcript.pyannote[349].end |
890.89596875 |
transcript.pyannote[350].speaker |
SPEAKER_03 |
transcript.pyannote[350].start |
890.89596875 |
transcript.pyannote[350].end |
890.91284375 |
transcript.pyannote[351].speaker |
SPEAKER_03 |
transcript.pyannote[351].start |
891.11534375 |
transcript.pyannote[351].end |
895.45221875 |
transcript.pyannote[352].speaker |
SPEAKER_03 |
transcript.pyannote[352].start |
895.63784375 |
transcript.pyannote[352].end |
900.36284375 |
transcript.pyannote[353].speaker |
SPEAKER_01 |
transcript.pyannote[353].start |
899.67096875 |
transcript.pyannote[353].end |
900.97034375 |
transcript.pyannote[354].speaker |
SPEAKER_03 |
transcript.pyannote[354].start |
900.97034375 |
transcript.pyannote[354].end |
902.03346875 |
transcript.pyannote[355].speaker |
SPEAKER_01 |
transcript.pyannote[355].start |
902.03346875 |
transcript.pyannote[355].end |
902.64096875 |
transcript.pyannote[356].speaker |
SPEAKER_03 |
transcript.pyannote[356].start |
902.64096875 |
transcript.pyannote[356].end |
902.67471875 |
transcript.pyannote[357].speaker |
SPEAKER_01 |
transcript.pyannote[357].start |
902.67471875 |
transcript.pyannote[357].end |
902.69159375 |
transcript.pyannote[358].speaker |
SPEAKER_03 |
transcript.pyannote[358].start |
902.69159375 |
transcript.pyannote[358].end |
902.74221875 |
transcript.pyannote[359].speaker |
SPEAKER_03 |
transcript.pyannote[359].start |
902.97846875 |
transcript.pyannote[359].end |
914.21721875 |
transcript.pyannote[360].speaker |
SPEAKER_03 |
transcript.pyannote[360].start |
914.41971875 |
transcript.pyannote[360].end |
916.66409375 |
transcript.pyannote[361].speaker |
SPEAKER_03 |
transcript.pyannote[361].start |
917.00159375 |
transcript.pyannote[361].end |
921.42284375 |
transcript.pyannote[362].speaker |
SPEAKER_03 |
transcript.pyannote[362].start |
921.69284375 |
transcript.pyannote[362].end |
925.25346875 |
transcript.pyannote[363].speaker |
SPEAKER_03 |
transcript.pyannote[363].start |
925.52346875 |
transcript.pyannote[363].end |
930.60284375 |
transcript.pyannote[364].speaker |
SPEAKER_03 |
transcript.pyannote[364].start |
934.39971875 |
transcript.pyannote[364].end |
936.96471875 |
transcript.whisperx[0].start |
4.552 |
transcript.whisperx[0].end |
32.852 |
transcript.whisperx[0].text |
謝謝主席 韓院長 我們有請我們的卓院長以及內政部的部長麻煩請卓院長內政部備詢院長好 兩位長官好我不知道你今天的報告這個是哪一位的幕僚幫你寫的 |
transcript.whisperx[1].start |
36.434 |
transcript.whisperx[1].end |
51.233 |
transcript.whisperx[1].text |
這個報告叫做睜眼說瞎話你知道吧你看到第四頁我也截了一段你們寫了說損失金額每月減少五億元但是從今年的二月 |
transcript.whisperx[2].start |
52.474 |
transcript.whisperx[2].end |
76.185 |
transcript.whisperx[2].text |
3月4月一路攀升一路攀升你怎麼好小意思講說每月減少5億這是睜眼說瞎話我們也要你回答你先不要回答不要急那麼我們來看按照這個來推估不是推估事實上是如此一年我們的被詐騙的金額高達1000億高達1000億是多我為了這個事情開過兩次公聽會 |
transcript.whisperx[3].start |
79.417 |
transcript.whisperx[3].end |
102.055 |
transcript.whisperx[3].text |
我幾乎我的辦公室啊幾乎每個禮拜一定有好幾件被炸的有老師 退休的老師有退休的公務員來一邊講一邊哭啊哎呀我這個開公聽會的時候找那個當事人來他講講就哭起來了七十幾歲他的所有的積蓄一千萬都沒了 |
transcript.whisperx[4].start |
102.964 |
transcript.whisperx[4].end |
130.627 |
transcript.whisperx[4].text |
都不去啊然後呢 那時候我找了內政部的警政署相關的長官來那個長官非常的認真跟他說這個 報告這個老師你這個錢大概要不回來了欸 多殘酷啊我們找長官來欸警政署長官來就告訴他沒有希望 為什麼平均如果真的能破 不一定能破能破大概一年拿回來多少 十把 |
transcript.whisperx[5].start |
132.079 |
transcript.whisperx[5].end |
142.528 |
transcript.whisperx[5].text |
拿回來這是最樂觀的最樂觀的就是一年能夠破案因為他立案就要一個月到三個月的時間然後再開始調查什麼之類的 |
transcript.whisperx[6].start |
145.061 |
transcript.whisperx[6].end |
167.646 |
transcript.whisperx[6].text |
真的 台灣很可憐的啦我們的打詐金額 預算越變越多打詐指揮中心 人員也都給你們愛人給你們 愛錢給你們結果我們的結果是這樣就是我每一次人家跟我講的時候我心裡都好難過 我說我能做什麼我跟立法委能做什麼好了 最近又看到一個 也是要跟我們澄清 |
transcript.whisperx[7].start |
169.682 |
transcript.whisperx[7].end |
194.446 |
transcript.whisperx[7].text |
錢沒有很多 可是我心裡也很痛他說 通知他 你電費少交了請你補49塊錢 台幣49點進去 49 進去以後就進去了好了 扣款扣多少 3萬8這是千真萬確的事實我的鄉民服務案 如果你要我都可以給你看 |
transcript.whisperx[8].start |
196.052 |
transcript.whisperx[8].end |
221.587 |
transcript.whisperx[8].text |
怎麼會這個樣子他叫我說我少交了四十幾塊錢結果一扣扣三萬八這就是詐騙集團這就是我們各自全部都洩露院長你知道嗎台灣的我們所有的人包括你我在內包括韓院長包括所有的部委首長 |
transcript.whisperx[9].start |
222.935 |
transcript.whisperx[9].end |
248.232 |
transcript.whisperx[9].text |
每一個人的個資通通在網上可以被交易總共多少錢你知道嗎全台灣2300萬人金額多少錢2300萬人的個資賣5000塊美金賣5000塊美金這是我們目前的狀況目前的狀況是這個樣子我們裡面有寫到院長 院長 |
transcript.whisperx[10].start |
249.693 |
transcript.whisperx[10].end |
269.431 |
transcript.whisperx[10].text |
你們今天說這本報告多少賭多少我們也不要在這裡口舌我當然我知道你回答很多你也不滿意 這個態度對這個態度對 可是我們希望要進取預計 針對問題我們來看比較客觀給你打分數 check GPT他幫你打分數 |
transcript.whisperx[11].start |
274.049 |
transcript.whisperx[11].end |
300.389 |
transcript.whisperx[11].text |
落實性給你5分25分裡面給5分等於100分的話就是給多少?給20分而已可衡量性10分而已創新性15分 條理完整作文比賽 你們25分得滿分 你看到你這切的GPT對你不錯說你很好作文 你很好作文但是你看 |
transcript.whisperx[12].start |
301.209 |
transcript.whisperx[12].end |
315.014 |
transcript.whisperx[12].text |
報告委員 我不會以60分為滿意我要更高 我們要努力我不會以60分為滿意 我要更高我要更高 不會以60分為滿意希望我們一起努力 |
transcript.whisperx[13].start |
317.47 |
transcript.whisperx[13].end |
341.443 |
transcript.whisperx[13].text |
好 這個兩位長官你們真的我是在第一線的我第一線的明帶這種案子實在太多了幾乎每個禮拜都有有時候這個禮拜多一點有時候這個禮拜少一點幾乎都有 心裡很痛啊因為來的幾乎都是退休的幾乎都是退休的他說 有的參加投資投資 現在投資最多啊 |
transcript.whisperx[14].start |
342.908 |
transcript.whisperx[14].end |
367.047 |
transcript.whisperx[14].text |
都跟這件事情有關係 洩露個資來我們來看喔我們那個書發部的長官也可以一起來齁這是審計部的報告 請看這個page審計部的報告我們打詐是不是應該有一個統一的窗口你現在看喔書發部編113年編了網路詐騙通報查詢網 |
transcript.whisperx[15].start |
373.519 |
transcript.whisperx[15].end |
379.322 |
transcript.whisperx[15].text |
通報查詢網這幾個APP系統開發跟維護維運的預算1350萬114年平台維運5800多萬 |
transcript.whisperx[16].start |
389.462 |
transcript.whisperx[16].end |
406.793 |
transcript.whisperx[16].text |
我們165大家都知道啊 打電話詐騙了165打165165這個警政署這邊編了110萬可是呢 舉報的功能反詐騙平台編了1210萬老實講 這兩個是重組的報告委員 你聽不聽得懂不要急 不要急喔 不要急喔部長是說這數據有誤5月15號 蘇華部的正式上線結果通報只有7筆你知道嗎 4000筆 |
transcript.whisperx[17].start |
416.957 |
transcript.whisperx[17].end |
423.409 |
transcript.whisperx[17].text |
四千筆 絕對不值 我就查了這個是審計部的報告審計部的報告 |
transcript.whisperx[18].start |
426.92 |
transcript.whisperx[18].end |
450.598 |
transcript.whisperx[18].text |
我以上的資料都是審計部的審計部跟你查的 這很有公信力的什麼都不知 你不能夠以你的那種感覺來 我就請教院長 索巴部的黃部長先不要讓你講話來 院長你這個能不能整合一下能不能整合一下 你不要 這兩個都一樣啊有什麼不一樣 重複的啊重複啊 我預算裡面 所以你這個錢這樣子亂花一通 |
transcript.whisperx[19].start |
451.243 |
transcript.whisperx[19].end |
453.385 |
transcript.whisperx[19].text |
我們今年才上線 審計部應該沒有最新的資料 |
transcript.whisperx[20].start |
474.545 |
transcript.whisperx[20].end |
482.815 |
transcript.whisperx[20].text |
審計部的資料就114年這是我家進來的113年是審計部的資料114年是我的那審計部就是審計部的重點所以這兩個應該要結合我就告訴你這一點審計部的報告 |
transcript.whisperx[21].start |
488.608 |
transcript.whisperx[21].end |
505.972 |
transcript.whisperx[21].text |
報告委員我們現在下架的數目超過3萬就是說下架的數目所以這個數字是有嚴重錯誤他原來一上去5月15號我現在跟你講5月15號我不是講現在我跟你講5月15號5月15號我要跟你強調現在老實講老百姓習慣165老百姓習慣165 |
transcript.whisperx[22].start |
509.982 |
transcript.whisperx[22].end |
518.349 |
transcript.whisperx[22].text |
所以我覺得這次是稽開的我們蘇華部的黃部長請你回去我們再請衛福部的長官時間請暫停一下請衛福部備詢邱部長內政部的劉部長要可以先請回 |
transcript.whisperx[23].start |
542.676 |
transcript.whisperx[23].end |
568.432 |
transcript.whisperx[23].text |
今天啦 我特別講一個東西啊資料外洩 我們有民安 有網暗網 有社群通訊軟體然後呢 馬街醫院2002年的 今年的3月 他的資料外洩那時候我就去問給你們喔給你們喔 給衛福部喔 立法委員 賴司法辦公室去問給你 |
transcript.whisperx[24].start |
569.656 |
transcript.whisperx[24].end |
597.31 |
transcript.whisperx[24].text |
你們給我回答的是什麼你們給我回答的是說這是暗網 這不是暗網 這是明網這是明網 這不是暗網 OK然後今天最新的 今天剛出來的台灣阿比侯頭頸外科醫學會各自全部結論那個院長啊 你知道吧我們每一個人 很多人 |
transcript.whisperx[25].start |
598.922 |
transcript.whisperx[25].end |
622.381 |
transcript.whisperx[25].text |
以我為例 我就常常接到這個電話 也不是電話 簡訊簡訊就告訴我什麼地方可以投資你要投資嗎 什麼投資平台 加入什麼社 什麼投資社好了 那我就想 他怎麼有我的電話他怎麼有我的電話 我隨便一問 每一個人都有類似這樣的遭遇 |
transcript.whisperx[26].start |
623.342 |
transcript.whisperx[26].end |
646.789 |
transcript.whisperx[26].text |
我們的個資洩漏的非常的嚴重所以今天來講的話可以這麼講我今天要打砸怎麼樣防止個資的外洩是非常重要的我剛才一開始我就講了我們五千塊美金可以把台灣所有每一個人的個資都拿到這個是昨天晚上我看到的資料那個邱部長 |
transcript.whisperx[27].start |
649.494 |
transcript.whisperx[27].end |
664.472 |
transcript.whisperx[27].text |
這個B喉外科醫學會這裡面就是每一個大醫生他的姓名他的電話他的住址通在裡面請部長回答 說明一下好 包委 |
transcript.whisperx[28].start |
665.625 |
transcript.whisperx[28].end |
693.9 |
transcript.whisperx[28].text |
從今年3月我們開始發現醫院有相關的資安的一個資料的一個外線以後我們衛福部的資訊是馬上就召集我們所有的關鍵就是也就是急重症的醫院就是那個關鍵的醫院大概有二三十家我們就馬上來整個資安的一個部的一個檢視然後給他們一個SOP那除了這樣以後所以他們以後就 |
transcript.whisperx[29].start |
694.639 |
transcript.whisperx[29].end |
719.451 |
transcript.whisperx[29].text |
不會再發生這種情況那另外因為這樣的SOP台灣的醫院有幾百家所以也後來比較小型的醫院也希望他們也能夠有這樣的一個SOP所以我們也都布置下去了今天是鎖定衛福部鎖管的好多醫院都各自外洩的不會不會現在都已經我們都已經有給他們SOP新光也有啊對不對沒有我現在問你喔 |
transcript.whisperx[30].start |
721.101 |
transcript.whisperx[30].end |
739.248 |
transcript.whisperx[30].text |
那醫學會來講會比較因為醫學會還沒有列管到我們的這個好像醫療機構一樣他只是會員的資料不是病人的資料所以這個部分我們會來瞭解你對於現在醫院的治安有沒有做一些輔導 |
transcript.whisperx[31].start |
742.257 |
transcript.whisperx[31].end |
770.96 |
transcript.whisperx[31].text |
對醫院的治安我們有進行輔導當然我們從三月以後就我們已經給非常嚴格的用最高規格的來對三十家這種大型的醫院我們已經給他最嚴格的治安的指導然後接下來又把這個SOP做法給所有的醫院去遵照因為有些醫院沒辦法有那麼多資源來建造來建構這樣的一個治安網你要指導怎麼樣去 |
transcript.whisperx[32].start |
771.929 |
transcript.whisperx[32].end |
794.483 |
transcript.whisperx[32].text |
我有一句話 我們對醫院 對銀行 對電信公司 對護證所我們都展開這樣的 因為掌握了這個趨勢了各自的保護 針對這幾個機關你們要不要要求醫院設資安長這樣的一個做法 我想各個醫院都一定有資安的一個體系 一個主任銀行有資安長 但是醫院沒有 |
transcript.whisperx[33].start |
799.625 |
transcript.whisperx[33].end |
822.483 |
transcript.whisperx[33].text |
我們公立的各部會以及我們機關我們都設有資安長醫院沒有資安長如果沒有的話我們會請他能夠補上因為資安長確實在保護個資上面是需要的一定有資訊室主任但是資安長他的一個設立跟定位我們趕快來研議看看能不能配合整個政府的組織來一同步那個蘇華部的長官可以再一起來 |
transcript.whisperx[34].start |
827.116 |
transcript.whisperx[34].end |
853.104 |
transcript.whisperx[34].text |
這個最後一小題麻煩再請速發部備選那個邱部長可以請回謝謝我們都知道現在的詐騙變成是跨國性的那麼連結國際打擊假帳號我們跟Meta或者Google Line合作阻斷詐騙的廣告具體的規範跟KPI有沒有來 請教 |
transcript.whisperx[35].start |
853.826 |
transcript.whisperx[35].end |
872.323 |
transcript.whisperx[35].text |
自從炸房條例通過之後我們是定期密集的跟這四大平台網路廣告平台商有開會後來我們要求兩個基本要做到一個就是實名制一個就是他們收到所謂的下架的公文要在24小時內廣告下架這個他們 |
transcript.whisperx[36].start |
873.905 |
transcript.whisperx[36].end |
888.639 |
transcript.whisperx[36].text |
我們就執行一段時間以後發現Meta沒有做到所以我們已經罰過他兩次1600萬什麼時候可以全部做到我們現在就邀請現在就要全部做到但是現在沒有全部做到現在我們就是定期在查驗什麼時候可以 |
transcript.whisperx[37].start |
891.201 |
transcript.whisperx[37].end |
916.624 |
transcript.whisperx[37].text |
他們只要沒有做到我們馬上開罰所以現在我們還在檢查所以目前是這樣子現在其實對於那個詐騙的廣告其實可以RPG不是可以封嗎RPG是那種一頁式網站一頁式網站就是說如果是那種一頁式網站我們如果查到的話我們會進行所謂RPG把它遮蔽但是對LINE 對FACEBOOK |
transcript.whisperx[38].start |
917.262 |
transcript.whisperx[38].end |
930.296 |
transcript.whisperx[38].text |
對Google這種公司你不可能把它全部遮蔽所以你只能要求它下架某些有問題的廣告所以對這次公司我們做法是用發文去要求它下降有問題的網頁有問題的廣告這是我們目前的目的好 謝謝賴思寶委員的資訊謝謝 |