IVOD_ID |
163526 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/163526 |
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 |
2025-08-15T12:08:40+08:00 |
結束時間 |
2025-08-15T12:25:01+08:00 |
影片長度 |
00:16:21 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/feafe23bd7168de6a2cc2749b18af1a618cf3659852ed250fb52be572812adafef8a19ad8d4174405ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
洪孟楷 |
委員發言時間 |
12:08:40 - 12:25:01 |
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_02 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
1.02659375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
1.02659375 |
transcript.pyannote[1].end |
1.44846875 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
5.09346875 |
transcript.pyannote[2].end |
6.17346875 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
18.62721875 |
transcript.pyannote[3].end |
20.56784375 |
transcript.pyannote[4].speaker |
SPEAKER_02 |
transcript.pyannote[4].start |
20.75346875 |
transcript.pyannote[4].end |
22.32284375 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
31.89096875 |
transcript.pyannote[5].end |
32.29596875 |
transcript.pyannote[6].speaker |
SPEAKER_02 |
transcript.pyannote[6].start |
32.00909375 |
transcript.pyannote[6].end |
32.54909375 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
32.92034375 |
transcript.pyannote[7].end |
33.49409375 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
33.93284375 |
transcript.pyannote[8].end |
35.43471875 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
35.89034375 |
transcript.pyannote[9].end |
36.56534375 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
36.81846875 |
transcript.pyannote[10].end |
40.69971875 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
41.10471875 |
transcript.pyannote[11].end |
44.10846875 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
44.54721875 |
transcript.pyannote[12].end |
48.76596875 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
49.27221875 |
transcript.pyannote[13].end |
74.16284375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
68.67846875 |
transcript.pyannote[14].end |
68.86409375 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
74.24721875 |
transcript.pyannote[15].end |
78.49971875 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
78.75284375 |
transcript.pyannote[16].end |
84.10221875 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
84.16971875 |
transcript.pyannote[17].end |
84.65909375 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
85.31721875 |
transcript.pyannote[18].end |
86.22846875 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
86.48159375 |
transcript.pyannote[19].end |
92.35409375 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
93.51846875 |
transcript.pyannote[20].end |
94.83471875 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
96.52221875 |
transcript.pyannote[21].end |
104.62221875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
96.82596875 |
transcript.pyannote[22].end |
97.02846875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
97.02846875 |
transcript.pyannote[23].end |
97.19721875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
97.19721875 |
transcript.pyannote[24].end |
97.45034375 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
104.65596875 |
transcript.pyannote[25].end |
104.75721875 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
104.79096875 |
transcript.pyannote[26].end |
105.60096875 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
106.66409375 |
transcript.pyannote[27].end |
108.70596875 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
109.58346875 |
transcript.pyannote[28].end |
112.70534375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
113.22846875 |
transcript.pyannote[29].end |
115.81034375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
116.36721875 |
transcript.pyannote[30].end |
118.18971875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
118.49346875 |
transcript.pyannote[31].end |
122.83034375 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
122.10471875 |
transcript.pyannote[32].end |
123.58971875 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
122.98221875 |
transcript.pyannote[33].end |
126.91409375 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
126.91409375 |
transcript.pyannote[34].end |
129.04034375 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
129.71534375 |
transcript.pyannote[35].end |
131.04846875 |
transcript.pyannote[36].speaker |
SPEAKER_02 |
transcript.pyannote[36].start |
131.25096875 |
transcript.pyannote[36].end |
134.57534375 |
transcript.pyannote[37].speaker |
SPEAKER_02 |
transcript.pyannote[37].start |
136.78596875 |
transcript.pyannote[37].end |
146.03346875 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
146.38784375 |
transcript.pyannote[38].end |
148.85159375 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
149.84721875 |
transcript.pyannote[39].end |
156.19221875 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
150.77534375 |
transcript.pyannote[40].end |
151.53471875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
157.03596875 |
transcript.pyannote[41].end |
159.63471875 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
159.63471875 |
transcript.pyannote[42].end |
159.65159375 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
159.87096875 |
transcript.pyannote[43].end |
160.73159375 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
160.73159375 |
transcript.pyannote[44].end |
160.76534375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
161.03534375 |
transcript.pyannote[45].end |
161.06909375 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
161.06909375 |
transcript.pyannote[46].end |
161.50784375 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
162.60471875 |
transcript.pyannote[47].end |
163.14471875 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
163.34721875 |
transcript.pyannote[48].end |
165.82784375 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
166.11471875 |
transcript.pyannote[49].end |
168.40971875 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
169.16909375 |
transcript.pyannote[50].end |
171.32909375 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
171.61596875 |
transcript.pyannote[51].end |
172.71284375 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
173.48909375 |
transcript.pyannote[52].end |
177.35346875 |
transcript.pyannote[53].speaker |
SPEAKER_02 |
transcript.pyannote[53].start |
178.38284375 |
transcript.pyannote[53].end |
194.41409375 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
184.40721875 |
transcript.pyannote[54].end |
185.75721875 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
188.01846875 |
transcript.pyannote[55].end |
188.44034375 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
191.84909375 |
transcript.pyannote[56].end |
192.25409375 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
195.86534375 |
transcript.pyannote[57].end |
202.91909375 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
203.56034375 |
transcript.pyannote[58].end |
206.74971875 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
207.35721875 |
transcript.pyannote[59].end |
208.04909375 |
transcript.pyannote[60].speaker |
SPEAKER_02 |
transcript.pyannote[60].start |
208.62284375 |
transcript.pyannote[60].end |
211.33971875 |
transcript.pyannote[61].speaker |
SPEAKER_02 |
transcript.pyannote[61].start |
211.60971875 |
transcript.pyannote[61].end |
218.19096875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
218.73096875 |
transcript.pyannote[62].end |
222.10596875 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
221.12721875 |
transcript.pyannote[63].end |
222.02159375 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
222.10596875 |
transcript.pyannote[64].end |
222.46034375 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
222.46034375 |
transcript.pyannote[65].end |
223.20284375 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
223.20284375 |
transcript.pyannote[66].end |
228.46784375 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
224.67096875 |
transcript.pyannote[67].end |
225.05909375 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
225.54846875 |
transcript.pyannote[68].end |
231.28596875 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
230.03721875 |
transcript.pyannote[69].end |
230.52659375 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
231.28596875 |
transcript.pyannote[70].end |
231.52221875 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
231.52221875 |
transcript.pyannote[71].end |
231.70784375 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
231.70784375 |
transcript.pyannote[72].end |
233.19284375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
231.84284375 |
transcript.pyannote[73].end |
232.97346875 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
233.59784375 |
transcript.pyannote[74].end |
233.61471875 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
233.61471875 |
transcript.pyannote[75].end |
234.08721875 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
234.50909375 |
transcript.pyannote[76].end |
241.30971875 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
242.50784375 |
transcript.pyannote[77].end |
242.87909375 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
243.50346875 |
transcript.pyannote[78].end |
244.98846875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
245.49471875 |
transcript.pyannote[79].end |
249.05534375 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
247.46909375 |
transcript.pyannote[80].end |
252.37971875 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
252.37971875 |
transcript.pyannote[81].end |
254.01659375 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
254.10096875 |
transcript.pyannote[82].end |
254.11784375 |
transcript.pyannote[83].speaker |
SPEAKER_02 |
transcript.pyannote[83].start |
254.11784375 |
transcript.pyannote[83].end |
262.70721875 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
254.80971875 |
transcript.pyannote[84].end |
255.85596875 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
256.15971875 |
transcript.pyannote[85].end |
257.25659375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
263.53409375 |
transcript.pyannote[86].end |
269.42346875 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
268.22534375 |
transcript.pyannote[87].end |
280.79721875 |
transcript.pyannote[88].speaker |
SPEAKER_02 |
transcript.pyannote[88].start |
282.28221875 |
transcript.pyannote[88].end |
283.49721875 |
transcript.pyannote[89].speaker |
SPEAKER_02 |
transcript.pyannote[89].start |
283.83471875 |
transcript.pyannote[89].end |
285.08346875 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
285.43784375 |
transcript.pyannote[90].end |
288.47534375 |
transcript.pyannote[91].speaker |
SPEAKER_02 |
transcript.pyannote[91].start |
289.65659375 |
transcript.pyannote[91].end |
294.24659375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
296.30534375 |
transcript.pyannote[92].end |
297.40221875 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
297.62159375 |
transcript.pyannote[93].end |
301.82346875 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
302.59971875 |
transcript.pyannote[94].end |
305.89034375 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
303.17346875 |
transcript.pyannote[95].end |
303.44346875 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
304.64159375 |
transcript.pyannote[96].end |
314.12534375 |
transcript.pyannote[97].speaker |
SPEAKER_02 |
transcript.pyannote[97].start |
314.41221875 |
transcript.pyannote[97].end |
318.76596875 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
319.13721875 |
transcript.pyannote[98].end |
320.28471875 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
320.80784375 |
transcript.pyannote[99].end |
321.19596875 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
323.05221875 |
transcript.pyannote[100].end |
324.36846875 |
transcript.pyannote[101].speaker |
SPEAKER_02 |
transcript.pyannote[101].start |
324.53721875 |
transcript.pyannote[101].end |
326.56221875 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
327.23721875 |
transcript.pyannote[102].end |
329.07659375 |
transcript.pyannote[103].speaker |
SPEAKER_02 |
transcript.pyannote[103].start |
329.09346875 |
transcript.pyannote[103].end |
330.79784375 |
transcript.pyannote[104].speaker |
SPEAKER_02 |
transcript.pyannote[104].start |
331.28721875 |
transcript.pyannote[104].end |
333.12659375 |
transcript.pyannote[105].speaker |
SPEAKER_02 |
transcript.pyannote[105].start |
334.45971875 |
transcript.pyannote[105].end |
335.64096875 |
transcript.pyannote[106].speaker |
SPEAKER_02 |
transcript.pyannote[106].start |
336.06284375 |
transcript.pyannote[106].end |
337.27784375 |
transcript.pyannote[107].speaker |
SPEAKER_02 |
transcript.pyannote[107].start |
338.67846875 |
transcript.pyannote[107].end |
339.64034375 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
340.58534375 |
transcript.pyannote[108].end |
341.14221875 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
341.26034375 |
transcript.pyannote[109].end |
344.80409375 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
346.93034375 |
transcript.pyannote[110].end |
365.07096875 |
transcript.pyannote[111].speaker |
SPEAKER_02 |
transcript.pyannote[111].start |
365.56034375 |
transcript.pyannote[111].end |
367.07909375 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
367.75409375 |
transcript.pyannote[112].end |
373.15409375 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
374.08221875 |
transcript.pyannote[113].end |
375.16221875 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
376.09034375 |
transcript.pyannote[114].end |
379.51596875 |
transcript.pyannote[115].speaker |
SPEAKER_02 |
transcript.pyannote[115].start |
379.78596875 |
transcript.pyannote[115].end |
381.72659375 |
transcript.pyannote[116].speaker |
SPEAKER_02 |
transcript.pyannote[116].start |
382.38471875 |
transcript.pyannote[116].end |
386.24909375 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
386.73846875 |
transcript.pyannote[117].end |
390.07971875 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
391.09221875 |
transcript.pyannote[118].end |
392.56034375 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
393.18471875 |
transcript.pyannote[119].end |
401.25096875 |
transcript.pyannote[120].speaker |
SPEAKER_02 |
transcript.pyannote[120].start |
394.73721875 |
transcript.pyannote[120].end |
397.15034375 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
400.03596875 |
transcript.pyannote[121].end |
400.25534375 |
transcript.pyannote[122].speaker |
SPEAKER_02 |
transcript.pyannote[122].start |
400.59284375 |
transcript.pyannote[122].end |
405.08159375 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
403.07346875 |
transcript.pyannote[123].end |
421.97346875 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
408.54096875 |
transcript.pyannote[124].end |
410.34659375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
413.38409375 |
transcript.pyannote[125].end |
415.57784375 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
416.53971875 |
transcript.pyannote[126].end |
417.26534375 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
417.82221875 |
transcript.pyannote[127].end |
418.34534375 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
421.02846875 |
transcript.pyannote[128].end |
421.88909375 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
421.97346875 |
transcript.pyannote[129].end |
422.34471875 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
422.61471875 |
transcript.pyannote[130].end |
423.03659375 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
424.23471875 |
transcript.pyannote[131].end |
425.97284375 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
424.70721875 |
transcript.pyannote[132].end |
425.48346875 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
426.37784375 |
transcript.pyannote[133].end |
429.11159375 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
428.67284375 |
transcript.pyannote[134].end |
438.03846875 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
438.03846875 |
transcript.pyannote[135].end |
443.94471875 |
transcript.pyannote[136].speaker |
SPEAKER_02 |
transcript.pyannote[136].start |
442.74659375 |
transcript.pyannote[136].end |
447.08346875 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
447.57284375 |
transcript.pyannote[137].end |
452.21346875 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
452.48346875 |
transcript.pyannote[138].end |
453.91784375 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
454.23846875 |
transcript.pyannote[139].end |
456.70221875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
457.29284375 |
transcript.pyannote[140].end |
459.33471875 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
458.11971875 |
transcript.pyannote[141].end |
459.82409375 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
459.43596875 |
transcript.pyannote[142].end |
459.85784375 |
transcript.pyannote[143].speaker |
SPEAKER_02 |
transcript.pyannote[143].start |
459.85784375 |
transcript.pyannote[143].end |
464.16096875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
460.29659375 |
transcript.pyannote[144].end |
461.47784375 |
transcript.pyannote[145].speaker |
SPEAKER_02 |
transcript.pyannote[145].start |
464.56596875 |
transcript.pyannote[145].end |
470.97846875 |
transcript.pyannote[146].speaker |
SPEAKER_02 |
transcript.pyannote[146].start |
472.12596875 |
transcript.pyannote[146].end |
477.35721875 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
476.66534375 |
transcript.pyannote[147].end |
480.32721875 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
478.69034375 |
transcript.pyannote[148].end |
481.06971875 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
481.39034375 |
transcript.pyannote[149].end |
483.09471875 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
482.55471875 |
transcript.pyannote[150].end |
485.25471875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
483.97221875 |
transcript.pyannote[151].end |
485.37284375 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
486.11534375 |
transcript.pyannote[152].end |
489.49034375 |
transcript.pyannote[153].speaker |
SPEAKER_02 |
transcript.pyannote[153].start |
488.59596875 |
transcript.pyannote[153].end |
489.47346875 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
489.49034375 |
transcript.pyannote[154].end |
490.92471875 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
490.92471875 |
transcript.pyannote[155].end |
490.97534375 |
transcript.pyannote[156].speaker |
SPEAKER_02 |
transcript.pyannote[156].start |
490.97534375 |
transcript.pyannote[156].end |
492.19034375 |
transcript.pyannote[157].speaker |
SPEAKER_02 |
transcript.pyannote[157].start |
492.91596875 |
transcript.pyannote[157].end |
506.02784375 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
506.02784375 |
transcript.pyannote[158].end |
508.50846875 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
508.82909375 |
transcript.pyannote[159].end |
509.18346875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
510.60096875 |
transcript.pyannote[160].end |
511.59659375 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
513.25034375 |
transcript.pyannote[161].end |
514.04346875 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
514.04346875 |
transcript.pyannote[162].end |
514.07721875 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
514.53284375 |
transcript.pyannote[163].end |
515.03909375 |
transcript.pyannote[164].speaker |
SPEAKER_02 |
transcript.pyannote[164].start |
515.03909375 |
transcript.pyannote[164].end |
517.43534375 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
517.43534375 |
transcript.pyannote[165].end |
517.48596875 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
517.94159375 |
transcript.pyannote[166].end |
518.12721875 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
518.65034375 |
transcript.pyannote[167].end |
522.00846875 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
521.45159375 |
transcript.pyannote[168].end |
524.55659375 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
526.22721875 |
transcript.pyannote[169].end |
528.23534375 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
528.57284375 |
transcript.pyannote[170].end |
536.43659375 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
529.12971875 |
transcript.pyannote[171].end |
534.02346875 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
534.02346875 |
transcript.pyannote[172].end |
534.56346875 |
transcript.pyannote[173].speaker |
SPEAKER_02 |
transcript.pyannote[173].start |
535.25534375 |
transcript.pyannote[173].end |
535.55909375 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
536.65596875 |
transcript.pyannote[174].end |
537.01034375 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
538.42784375 |
transcript.pyannote[175].end |
538.73159375 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
539.45721875 |
transcript.pyannote[176].end |
539.47409375 |
transcript.pyannote[177].speaker |
SPEAKER_02 |
transcript.pyannote[177].start |
539.47409375 |
transcript.pyannote[177].end |
540.14909375 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
540.14909375 |
transcript.pyannote[178].end |
540.16596875 |
transcript.pyannote[179].speaker |
SPEAKER_02 |
transcript.pyannote[179].start |
540.28409375 |
transcript.pyannote[179].end |
546.74721875 |
transcript.pyannote[180].speaker |
SPEAKER_02 |
transcript.pyannote[180].start |
547.05096875 |
transcript.pyannote[180].end |
563.84159375 |
transcript.pyannote[181].speaker |
SPEAKER_02 |
transcript.pyannote[181].start |
564.82034375 |
transcript.pyannote[181].end |
567.33471875 |
transcript.pyannote[182].speaker |
SPEAKER_02 |
transcript.pyannote[182].start |
568.17846875 |
transcript.pyannote[182].end |
576.95346875 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
577.22346875 |
transcript.pyannote[183].end |
597.22034375 |
transcript.pyannote[184].speaker |
SPEAKER_02 |
transcript.pyannote[184].start |
580.54784375 |
transcript.pyannote[184].end |
587.19659375 |
transcript.pyannote[185].speaker |
SPEAKER_02 |
transcript.pyannote[185].start |
593.32221875 |
transcript.pyannote[185].end |
593.67659375 |
transcript.pyannote[186].speaker |
SPEAKER_02 |
transcript.pyannote[186].start |
594.58784375 |
transcript.pyannote[186].end |
596.47784375 |
transcript.pyannote[187].speaker |
SPEAKER_02 |
transcript.pyannote[187].start |
596.89971875 |
transcript.pyannote[187].end |
598.31721875 |
transcript.pyannote[188].speaker |
SPEAKER_02 |
transcript.pyannote[188].start |
598.65471875 |
transcript.pyannote[188].end |
599.73471875 |
transcript.pyannote[189].speaker |
SPEAKER_02 |
transcript.pyannote[189].start |
600.84846875 |
transcript.pyannote[189].end |
601.03409375 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
601.03409375 |
transcript.pyannote[190].end |
603.24471875 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
604.05471875 |
transcript.pyannote[191].end |
606.11346875 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
606.38346875 |
transcript.pyannote[192].end |
609.03284375 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
608.15534375 |
transcript.pyannote[193].end |
608.89784375 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
609.10034375 |
transcript.pyannote[194].end |
610.78784375 |
transcript.pyannote[195].speaker |
SPEAKER_00 |
transcript.pyannote[195].start |
609.65721875 |
transcript.pyannote[195].end |
610.02846875 |
transcript.pyannote[196].speaker |
SPEAKER_02 |
transcript.pyannote[196].start |
610.02846875 |
transcript.pyannote[196].end |
610.34909375 |
transcript.pyannote[197].speaker |
SPEAKER_00 |
transcript.pyannote[197].start |
610.34909375 |
transcript.pyannote[197].end |
610.46721875 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
611.37846875 |
transcript.pyannote[198].end |
618.56721875 |
transcript.pyannote[199].speaker |
SPEAKER_02 |
transcript.pyannote[199].start |
611.42909375 |
transcript.pyannote[199].end |
611.96909375 |
transcript.pyannote[200].speaker |
SPEAKER_02 |
transcript.pyannote[200].start |
617.65596875 |
transcript.pyannote[200].end |
625.03034375 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
619.81596875 |
transcript.pyannote[201].end |
621.38534375 |
transcript.pyannote[202].speaker |
SPEAKER_02 |
transcript.pyannote[202].start |
625.04721875 |
transcript.pyannote[202].end |
628.21971875 |
transcript.pyannote[203].speaker |
SPEAKER_02 |
transcript.pyannote[203].start |
629.58659375 |
transcript.pyannote[203].end |
630.19409375 |
transcript.pyannote[204].speaker |
SPEAKER_02 |
transcript.pyannote[204].start |
630.59909375 |
transcript.pyannote[204].end |
631.83096875 |
transcript.pyannote[205].speaker |
SPEAKER_02 |
transcript.pyannote[205].start |
632.08409375 |
transcript.pyannote[205].end |
632.92784375 |
transcript.pyannote[206].speaker |
SPEAKER_02 |
transcript.pyannote[206].start |
633.43409375 |
transcript.pyannote[206].end |
634.26096875 |
transcript.pyannote[207].speaker |
SPEAKER_02 |
transcript.pyannote[207].start |
634.46346875 |
transcript.pyannote[207].end |
637.23096875 |
transcript.pyannote[208].speaker |
SPEAKER_02 |
transcript.pyannote[208].start |
637.90596875 |
transcript.pyannote[208].end |
640.67346875 |
transcript.pyannote[209].speaker |
SPEAKER_02 |
transcript.pyannote[209].start |
640.99409375 |
transcript.pyannote[209].end |
642.44534375 |
transcript.pyannote[210].speaker |
SPEAKER_02 |
transcript.pyannote[210].start |
643.23846875 |
transcript.pyannote[210].end |
643.81221875 |
transcript.pyannote[211].speaker |
SPEAKER_02 |
transcript.pyannote[211].start |
644.97659375 |
transcript.pyannote[211].end |
647.65971875 |
transcript.pyannote[212].speaker |
SPEAKER_02 |
transcript.pyannote[212].start |
648.19971875 |
transcript.pyannote[212].end |
650.93346875 |
transcript.pyannote[213].speaker |
SPEAKER_02 |
transcript.pyannote[213].start |
651.52409375 |
transcript.pyannote[213].end |
653.04284375 |
transcript.pyannote[214].speaker |
SPEAKER_02 |
transcript.pyannote[214].start |
653.51534375 |
transcript.pyannote[214].end |
655.21971875 |
transcript.pyannote[215].speaker |
SPEAKER_02 |
transcript.pyannote[215].start |
657.68346875 |
transcript.pyannote[215].end |
658.05471875 |
transcript.pyannote[216].speaker |
SPEAKER_02 |
transcript.pyannote[216].start |
659.15159375 |
transcript.pyannote[216].end |
659.16846875 |
transcript.pyannote[217].speaker |
SPEAKER_01 |
transcript.pyannote[217].start |
659.16846875 |
transcript.pyannote[217].end |
660.24846875 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
661.59846875 |
transcript.pyannote[218].end |
667.15034375 |
transcript.pyannote[219].speaker |
SPEAKER_01 |
transcript.pyannote[219].start |
667.77471875 |
transcript.pyannote[219].end |
669.95159375 |
transcript.pyannote[220].speaker |
SPEAKER_01 |
transcript.pyannote[220].start |
670.62659375 |
transcript.pyannote[220].end |
670.96409375 |
transcript.pyannote[221].speaker |
SPEAKER_01 |
transcript.pyannote[221].start |
671.33534375 |
transcript.pyannote[221].end |
675.19971875 |
transcript.pyannote[222].speaker |
SPEAKER_01 |
transcript.pyannote[222].start |
675.38534375 |
transcript.pyannote[222].end |
680.73471875 |
transcript.pyannote[223].speaker |
SPEAKER_02 |
transcript.pyannote[223].start |
678.33846875 |
transcript.pyannote[223].end |
686.97846875 |
transcript.pyannote[224].speaker |
SPEAKER_00 |
transcript.pyannote[224].start |
680.73471875 |
transcript.pyannote[224].end |
680.76846875 |
transcript.pyannote[225].speaker |
SPEAKER_00 |
transcript.pyannote[225].start |
687.21471875 |
transcript.pyannote[225].end |
689.12159375 |
transcript.pyannote[226].speaker |
SPEAKER_02 |
transcript.pyannote[226].start |
688.81784375 |
transcript.pyannote[226].end |
694.48784375 |
transcript.pyannote[227].speaker |
SPEAKER_02 |
transcript.pyannote[227].start |
695.24721875 |
transcript.pyannote[227].end |
696.29346875 |
transcript.pyannote[228].speaker |
SPEAKER_02 |
transcript.pyannote[228].start |
696.37784375 |
transcript.pyannote[228].end |
697.35659375 |
transcript.pyannote[229].speaker |
SPEAKER_02 |
transcript.pyannote[229].start |
697.47471875 |
transcript.pyannote[229].end |
700.36034375 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
701.15346875 |
transcript.pyannote[230].end |
705.52409375 |
transcript.pyannote[231].speaker |
SPEAKER_02 |
transcript.pyannote[231].start |
703.70159375 |
transcript.pyannote[231].end |
703.90409375 |
transcript.pyannote[232].speaker |
SPEAKER_02 |
transcript.pyannote[232].start |
705.11909375 |
transcript.pyannote[232].end |
705.72659375 |
transcript.pyannote[233].speaker |
SPEAKER_01 |
transcript.pyannote[233].start |
705.72659375 |
transcript.pyannote[233].end |
705.86159375 |
transcript.pyannote[234].speaker |
SPEAKER_02 |
transcript.pyannote[234].start |
705.86159375 |
transcript.pyannote[234].end |
705.87846875 |
transcript.pyannote[235].speaker |
SPEAKER_01 |
transcript.pyannote[235].start |
705.87846875 |
transcript.pyannote[235].end |
705.89534375 |
transcript.pyannote[236].speaker |
SPEAKER_02 |
transcript.pyannote[236].start |
706.18221875 |
transcript.pyannote[236].end |
708.39284375 |
transcript.pyannote[237].speaker |
SPEAKER_02 |
transcript.pyannote[237].start |
708.94971875 |
transcript.pyannote[237].end |
712.17284375 |
transcript.pyannote[238].speaker |
SPEAKER_02 |
transcript.pyannote[238].start |
712.71284375 |
transcript.pyannote[238].end |
720.13784375 |
transcript.pyannote[239].speaker |
SPEAKER_02 |
transcript.pyannote[239].start |
721.47096875 |
transcript.pyannote[239].end |
721.80846875 |
transcript.pyannote[240].speaker |
SPEAKER_02 |
transcript.pyannote[240].start |
722.60159375 |
transcript.pyannote[240].end |
736.50659375 |
transcript.pyannote[241].speaker |
SPEAKER_02 |
transcript.pyannote[241].start |
737.21534375 |
transcript.pyannote[241].end |
738.14346875 |
transcript.pyannote[242].speaker |
SPEAKER_02 |
transcript.pyannote[242].start |
738.51471875 |
transcript.pyannote[242].end |
739.94909375 |
transcript.pyannote[243].speaker |
SPEAKER_02 |
transcript.pyannote[243].start |
740.40471875 |
transcript.pyannote[243].end |
740.42159375 |
transcript.pyannote[244].speaker |
SPEAKER_01 |
transcript.pyannote[244].start |
740.42159375 |
transcript.pyannote[244].end |
743.64471875 |
transcript.pyannote[245].speaker |
SPEAKER_02 |
transcript.pyannote[245].start |
741.24846875 |
transcript.pyannote[245].end |
749.75346875 |
transcript.pyannote[246].speaker |
SPEAKER_02 |
transcript.pyannote[246].start |
750.36096875 |
transcript.pyannote[246].end |
752.62221875 |
transcript.pyannote[247].speaker |
SPEAKER_02 |
transcript.pyannote[247].start |
753.09471875 |
transcript.pyannote[247].end |
761.07659375 |
transcript.pyannote[248].speaker |
SPEAKER_02 |
transcript.pyannote[248].start |
762.10596875 |
transcript.pyannote[248].end |
772.07909375 |
transcript.pyannote[249].speaker |
SPEAKER_02 |
transcript.pyannote[249].start |
772.73721875 |
transcript.pyannote[249].end |
773.12534375 |
transcript.pyannote[250].speaker |
SPEAKER_02 |
transcript.pyannote[250].start |
773.69909375 |
transcript.pyannote[250].end |
774.64409375 |
transcript.pyannote[251].speaker |
SPEAKER_01 |
transcript.pyannote[251].start |
774.79596875 |
transcript.pyannote[251].end |
776.34846875 |
transcript.pyannote[252].speaker |
SPEAKER_00 |
transcript.pyannote[252].start |
776.34846875 |
transcript.pyannote[252].end |
779.53784375 |
transcript.pyannote[253].speaker |
SPEAKER_00 |
transcript.pyannote[253].start |
779.67284375 |
transcript.pyannote[253].end |
783.48659375 |
transcript.pyannote[254].speaker |
SPEAKER_00 |
transcript.pyannote[254].start |
783.58784375 |
transcript.pyannote[254].end |
786.22034375 |
transcript.pyannote[255].speaker |
SPEAKER_00 |
transcript.pyannote[255].start |
786.92909375 |
transcript.pyannote[255].end |
787.84034375 |
transcript.pyannote[256].speaker |
SPEAKER_00 |
transcript.pyannote[256].start |
788.11034375 |
transcript.pyannote[256].end |
816.64596875 |
transcript.pyannote[257].speaker |
SPEAKER_01 |
transcript.pyannote[257].start |
806.67284375 |
transcript.pyannote[257].end |
806.68971875 |
transcript.pyannote[258].speaker |
SPEAKER_02 |
transcript.pyannote[258].start |
806.68971875 |
transcript.pyannote[258].end |
807.60096875 |
transcript.pyannote[259].speaker |
SPEAKER_02 |
transcript.pyannote[259].start |
818.06346875 |
transcript.pyannote[259].end |
818.46846875 |
transcript.pyannote[260].speaker |
SPEAKER_02 |
transcript.pyannote[260].start |
819.26159375 |
transcript.pyannote[260].end |
828.01971875 |
transcript.pyannote[261].speaker |
SPEAKER_00 |
transcript.pyannote[261].start |
828.01971875 |
transcript.pyannote[261].end |
828.34034375 |
transcript.pyannote[262].speaker |
SPEAKER_02 |
transcript.pyannote[262].start |
828.34034375 |
transcript.pyannote[262].end |
828.37409375 |
transcript.pyannote[263].speaker |
SPEAKER_00 |
transcript.pyannote[263].start |
828.37409375 |
transcript.pyannote[263].end |
828.39096875 |
transcript.pyannote[264].speaker |
SPEAKER_02 |
transcript.pyannote[264].start |
828.39096875 |
transcript.pyannote[264].end |
832.93034375 |
transcript.pyannote[265].speaker |
SPEAKER_00 |
transcript.pyannote[265].start |
828.49221875 |
transcript.pyannote[265].end |
829.31909375 |
transcript.pyannote[266].speaker |
SPEAKER_00 |
transcript.pyannote[266].start |
831.91784375 |
transcript.pyannote[266].end |
837.13221875 |
transcript.pyannote[267].speaker |
SPEAKER_02 |
transcript.pyannote[267].start |
833.16659375 |
transcript.pyannote[267].end |
833.67284375 |
transcript.pyannote[268].speaker |
SPEAKER_00 |
transcript.pyannote[268].start |
837.45284375 |
transcript.pyannote[268].end |
842.68409375 |
transcript.pyannote[269].speaker |
SPEAKER_01 |
transcript.pyannote[269].start |
842.68409375 |
transcript.pyannote[269].end |
842.93721875 |
transcript.pyannote[270].speaker |
SPEAKER_00 |
transcript.pyannote[270].start |
842.93721875 |
transcript.pyannote[270].end |
850.31159375 |
transcript.pyannote[271].speaker |
SPEAKER_00 |
transcript.pyannote[271].start |
850.73346875 |
transcript.pyannote[271].end |
854.12534375 |
transcript.pyannote[272].speaker |
SPEAKER_00 |
transcript.pyannote[272].start |
854.41221875 |
transcript.pyannote[272].end |
859.96409375 |
transcript.pyannote[273].speaker |
SPEAKER_00 |
transcript.pyannote[273].start |
860.35221875 |
transcript.pyannote[273].end |
862.68096875 |
transcript.pyannote[274].speaker |
SPEAKER_00 |
transcript.pyannote[274].start |
863.00159375 |
transcript.pyannote[274].end |
863.77784375 |
transcript.pyannote[275].speaker |
SPEAKER_02 |
transcript.pyannote[275].start |
863.17034375 |
transcript.pyannote[275].end |
864.19971875 |
transcript.pyannote[276].speaker |
SPEAKER_00 |
transcript.pyannote[276].start |
864.11534375 |
transcript.pyannote[276].end |
868.01346875 |
transcript.pyannote[277].speaker |
SPEAKER_02 |
transcript.pyannote[277].start |
865.34721875 |
transcript.pyannote[277].end |
865.49909375 |
transcript.pyannote[278].speaker |
SPEAKER_02 |
transcript.pyannote[278].start |
865.70159375 |
transcript.pyannote[278].end |
865.95471875 |
transcript.pyannote[279].speaker |
SPEAKER_02 |
transcript.pyannote[279].start |
867.67596875 |
transcript.pyannote[279].end |
867.99659375 |
transcript.pyannote[280].speaker |
SPEAKER_02 |
transcript.pyannote[280].start |
868.01346875 |
transcript.pyannote[280].end |
868.03034375 |
transcript.pyannote[281].speaker |
SPEAKER_01 |
transcript.pyannote[281].start |
868.03034375 |
transcript.pyannote[281].end |
868.65471875 |
transcript.pyannote[282].speaker |
SPEAKER_00 |
transcript.pyannote[282].start |
868.82346875 |
transcript.pyannote[282].end |
874.78034375 |
transcript.pyannote[283].speaker |
SPEAKER_02 |
transcript.pyannote[283].start |
870.61221875 |
transcript.pyannote[283].end |
870.73034375 |
transcript.pyannote[284].speaker |
SPEAKER_01 |
transcript.pyannote[284].start |
870.73034375 |
transcript.pyannote[284].end |
870.83159375 |
transcript.pyannote[285].speaker |
SPEAKER_01 |
transcript.pyannote[285].start |
873.68346875 |
transcript.pyannote[285].end |
873.73409375 |
transcript.pyannote[286].speaker |
SPEAKER_02 |
transcript.pyannote[286].start |
873.73409375 |
transcript.pyannote[286].end |
874.08846875 |
transcript.pyannote[287].speaker |
SPEAKER_02 |
transcript.pyannote[287].start |
874.34159375 |
transcript.pyannote[287].end |
874.56096875 |
transcript.pyannote[288].speaker |
SPEAKER_00 |
transcript.pyannote[288].start |
874.93221875 |
transcript.pyannote[288].end |
875.59034375 |
transcript.pyannote[289].speaker |
SPEAKER_02 |
transcript.pyannote[289].start |
875.35409375 |
transcript.pyannote[289].end |
876.56909375 |
transcript.pyannote[290].speaker |
SPEAKER_02 |
transcript.pyannote[290].start |
877.34534375 |
transcript.pyannote[290].end |
878.39159375 |
transcript.pyannote[291].speaker |
SPEAKER_02 |
transcript.pyannote[291].start |
878.71221875 |
transcript.pyannote[291].end |
884.31471875 |
transcript.pyannote[292].speaker |
SPEAKER_01 |
transcript.pyannote[292].start |
884.70284375 |
transcript.pyannote[292].end |
887.25096875 |
transcript.pyannote[293].speaker |
SPEAKER_01 |
transcript.pyannote[293].start |
887.38596875 |
transcript.pyannote[293].end |
889.66409375 |
transcript.pyannote[294].speaker |
SPEAKER_01 |
transcript.pyannote[294].start |
889.96784375 |
transcript.pyannote[294].end |
892.39784375 |
transcript.pyannote[295].speaker |
SPEAKER_01 |
transcript.pyannote[295].start |
892.81971875 |
transcript.pyannote[295].end |
894.47346875 |
transcript.pyannote[296].speaker |
SPEAKER_01 |
transcript.pyannote[296].start |
895.23284375 |
transcript.pyannote[296].end |
896.85284375 |
transcript.pyannote[297].speaker |
SPEAKER_02 |
transcript.pyannote[297].start |
896.85284375 |
transcript.pyannote[297].end |
896.90346875 |
transcript.pyannote[298].speaker |
SPEAKER_01 |
transcript.pyannote[298].start |
897.74721875 |
transcript.pyannote[298].end |
898.10159375 |
transcript.pyannote[299].speaker |
SPEAKER_02 |
transcript.pyannote[299].start |
898.55721875 |
transcript.pyannote[299].end |
902.03346875 |
transcript.pyannote[300].speaker |
SPEAKER_01 |
transcript.pyannote[300].start |
900.31221875 |
transcript.pyannote[300].end |
901.96596875 |
transcript.pyannote[301].speaker |
SPEAKER_01 |
transcript.pyannote[301].start |
902.03346875 |
transcript.pyannote[301].end |
903.88971875 |
transcript.pyannote[302].speaker |
SPEAKER_02 |
transcript.pyannote[302].start |
902.20221875 |
transcript.pyannote[302].end |
902.33721875 |
transcript.pyannote[303].speaker |
SPEAKER_02 |
transcript.pyannote[303].start |
903.88971875 |
transcript.pyannote[303].end |
904.31159375 |
transcript.pyannote[304].speaker |
SPEAKER_01 |
transcript.pyannote[304].start |
904.31159375 |
transcript.pyannote[304].end |
905.02034375 |
transcript.pyannote[305].speaker |
SPEAKER_02 |
transcript.pyannote[305].start |
905.02034375 |
transcript.pyannote[305].end |
905.50971875 |
transcript.pyannote[306].speaker |
SPEAKER_01 |
transcript.pyannote[306].start |
905.50971875 |
transcript.pyannote[306].end |
908.42909375 |
transcript.pyannote[307].speaker |
SPEAKER_02 |
transcript.pyannote[307].start |
907.83846875 |
transcript.pyannote[307].end |
913.10346875 |
transcript.pyannote[308].speaker |
SPEAKER_01 |
transcript.pyannote[308].start |
911.41596875 |
transcript.pyannote[308].end |
914.57159375 |
transcript.pyannote[309].speaker |
SPEAKER_02 |
transcript.pyannote[309].start |
914.75721875 |
transcript.pyannote[309].end |
923.48159375 |
transcript.pyannote[310].speaker |
SPEAKER_02 |
transcript.pyannote[310].start |
924.37596875 |
transcript.pyannote[310].end |
931.32846875 |
transcript.pyannote[311].speaker |
SPEAKER_02 |
transcript.pyannote[311].start |
931.91909375 |
transcript.pyannote[311].end |
934.46721875 |
transcript.pyannote[312].speaker |
SPEAKER_02 |
transcript.pyannote[312].start |
934.87221875 |
transcript.pyannote[312].end |
936.15471875 |
transcript.pyannote[313].speaker |
SPEAKER_02 |
transcript.pyannote[313].start |
944.00159375 |
transcript.pyannote[313].end |
947.14034375 |
transcript.pyannote[314].speaker |
SPEAKER_02 |
transcript.pyannote[314].start |
947.73096875 |
transcript.pyannote[314].end |
954.34596875 |
transcript.pyannote[315].speaker |
SPEAKER_02 |
transcript.pyannote[315].start |
954.76784375 |
transcript.pyannote[315].end |
956.28659375 |
transcript.pyannote[316].speaker |
SPEAKER_02 |
transcript.pyannote[316].start |
956.70846875 |
transcript.pyannote[316].end |
958.32846875 |
transcript.pyannote[317].speaker |
SPEAKER_02 |
transcript.pyannote[317].start |
959.00346875 |
transcript.pyannote[317].end |
960.64034375 |
transcript.pyannote[318].speaker |
SPEAKER_02 |
transcript.pyannote[318].start |
960.67409375 |
transcript.pyannote[318].end |
964.01534375 |
transcript.pyannote[319].speaker |
SPEAKER_02 |
transcript.pyannote[319].start |
964.26846875 |
transcript.pyannote[319].end |
970.66409375 |
transcript.pyannote[320].speaker |
SPEAKER_01 |
transcript.pyannote[320].start |
969.90471875 |
transcript.pyannote[320].end |
969.97221875 |
transcript.pyannote[321].speaker |
SPEAKER_00 |
transcript.pyannote[321].start |
969.97221875 |
transcript.pyannote[321].end |
970.02284375 |
transcript.pyannote[322].speaker |
SPEAKER_02 |
transcript.pyannote[322].start |
971.13659375 |
transcript.pyannote[322].end |
975.96284375 |
transcript.pyannote[323].speaker |
SPEAKER_00 |
transcript.pyannote[323].start |
971.18721875 |
transcript.pyannote[323].end |
972.13221875 |
transcript.pyannote[324].speaker |
SPEAKER_02 |
transcript.pyannote[324].start |
976.24971875 |
transcript.pyannote[324].end |
978.02159375 |
transcript.pyannote[325].speaker |
SPEAKER_01 |
transcript.pyannote[325].start |
979.75971875 |
transcript.pyannote[325].end |
981.58221875 |
transcript.whisperx[0].start |
0.8 |
transcript.whisperx[0].end |
19.705 |
transcript.whisperx[0].text |
請準備主席謝謝麻煩請莊特院長麻煩再請卓院長備詢 |
transcript.whisperx[1].start |
32.046 |
transcript.whisperx[1].end |
48.002 |
transcript.whisperx[1].text |
院長好院長上任一年多以來國人一直希望是政府是做實事做真事做對的事打擊詐騙是沒有任何一個人可以接受的我剛聽到好幾位委員跟您這邊質詢以及救教之後發覺 |
transcript.whisperx[2].start |
49.329 |
transcript.whisperx[2].end |
78.352 |
transcript.whisperx[2].text |
你也開始改口願意稱說我們的這些數字其實是沒有太大的一個意義我在報告裡面就講過了因為每一個數字即便你講是說從去年到今年有減少但是對於被害者來講每一個案件就是百分之百的詐騙每一個案件就是沒有辦法拿回來而更重要是態度問題本席第一線長期跟我們所有的警務同仁以及相關人員在一起 |
transcript.whisperx[3].start |
78.812 |
transcript.whisperx[3].end |
104.885 |
transcript.whisperx[3].text |
本席非常肯定我們地縣的員警同仁大家對於打擊詐騙的一個辛苦辛勞謝謝但是有沒有讓全國國人看到說現在的政府帶頭從上到下在拼打詐院長你自己怎麼看我們會有讓國人感受到說我們全國所有的部會首長大家都真真正正放心思在拼打擊詐騙嗎 |
transcript.whisperx[4].start |
106.704 |
transcript.whisperx[4].end |
134.401 |
transcript.whisperx[4].text |
外表太陽上來看我們對這些打詐的相關人員我們予以鼓勵 重視 感謝內部而言我們從政策上來強化法制面而言我們希望能夠有所不足的地方我們再透過更強大的修法院長你沒有回答本席的問題所以我們從政策 組織 法律各法制各方面都在進行院長你還是沒有回答本席的問題是過去這幾個月國人普遍印象裡面認為說政府在幹嘛 |
transcript.whisperx[5].start |
136.806 |
transcript.whisperx[5].end |
161.161 |
transcript.whisperx[5].text |
行政院還是在做行政院在做行政院是但是國人普遍印象裡面從不管是政論節目新聞媒體以及相關各部會下鄉去做宣講宣講是講國人認為說政府在做什麼宣講是跟預算相關的話題在行政院的範圍裡面我們跟國人來做說明說實在話院長 |
transcript.whisperx[6].start |
162.622 |
transcript.whisperx[6].end |
180.263 |
transcript.whisperx[6].text |
本席在經歷過7月26號再一次的選舉我想我應該是很有資格在這邊講這個話從上到下其實全國國人可能都認為今年三分之二時間政府從上到下帶頭都在搞罷免沒有真真正正的在做其他 |
transcript.whisperx[7].start |
180.856 |
transcript.whisperx[7].end |
208.01 |
transcript.whisperx[7].text |
真的國人關心的 我常說絕大部分的部委首長人民最希望看到的是拚經濟 拚民生 拚打詐但絕對不是拚政治絕大部分的部委首長都在努力自己的工作所以新聞畫面 你看一下七個人在七月因為詐騙而喪命權力大罷免的政府何時才能權力打詐當媒體用這樣的一個標語的時候其實我們是心痛的 |
transcript.whisperx[8].start |
208.683 |
transcript.whisperx[8].end |
217.372 |
transcript.whisperx[8].text |
我身為在野黨的委員我一樣非常心痛因為代表連媒體都認為是說現在這個政府完全沒有在針對民眾想要了解的問題來解決 |
transcript.whisperx[9].start |
218.749 |
transcript.whisperx[9].end |
240.774 |
transcript.whisperx[9].text |
我們每個月都有打砸的時機當然這不能再...你看你又要回來講數字了不是剛剛王玉川委員才跟你哭口婆心講說不要再講數字你說我們從來沒有做你現在又要拿數字來救援不是 是委員說我們都沒有在做我說我有在做做得不夠多不夠好非常好來 院長如果說你真的要講數字我們來講數字什麼樣的數字在你心目中你有沒有一個概念現在一天有多少國人被詐騙從 |
transcript.whisperx[10].start |
243.756 |
transcript.whisperx[10].end |
262.238 |
transcript.whisperx[10].text |
去年到現在我們每天減少的案件大概有350件打在儀表板上面昨天統計有多少的詐騙案件今天昨天我是沒有看我們每天下降的數字從這個禮拜一到禮拜四今天禮拜五還沒有統計出來這個禮拜一到禮拜四有多少的金額被詐騙 |
transcript.whisperx[11].start |
263.561 |
transcript.whisperx[11].end |
285.975 |
transcript.whisperx[11].text |
我只能跟你說這一年以來我們每天統計下降的數字每天有350件如果說你真的說念茲在這的話其實我覺得說這些數字應該都會在你心目中每天想著怎麼樣來降低一點一滴而不是到目前為止還是只能拿這本報告來救援禮拜一到禮拜四本席剛看了一下總共有11億2000萬被詐騙 |
transcript.whisperx[12].start |
289.696 |
transcript.whisperx[12].end |
318.57 |
transcript.whisperx[12].text |
四天裡面就有十一億兩千萬被詐騙的金額算不算高因為我們一年現在每個現在降到七月份是有八十一億來院長這個比例上就你的報告我們來討論其實本期今天很希望是很持平的因為我們都是要一起面對詐騙打擊詐騙人人有責來我們來看一下數字本期也跟你就數字討論數字因為這很客觀跟科學來看一下 |
transcript.whisperx[13].start |
319.372 |
transcript.whisperx[13].end |
344.303 |
transcript.whisperx[13].text |
這是您的報告對不對詐騙案件你上面畫了一個紅線是逐年下降的概念逐月下降的概念對不對院長有沒有發現有一個盲點從今年的3月到現在的7月其實它沒有下降它其實是完全有一個持平的概念來我們上一張 |
transcript.whisperx[14].start |
347 |
transcript.whisperx[14].end |
372.692 |
transcript.whisperx[14].text |
上一張你看如果說從去年因為你一直強調說去年8月才開始有改變這個登記的方式所以說8月以前你們先不記好本席也同意來我們先看一下就說那8月到今年的7月快一年的時間每個月的數字可你真的看過去這5個月從3月到7月他是一個成水平等於是說15000件每個月有超過差不多15000件他沒有繼續往下 |
transcript.whisperx[15].start |
376.121 |
transcript.whisperx[15].end |
389.897 |
transcript.whisperx[15].text |
我們就講是說這類似選舉有所謂基本盤啊難道我們詐騙也有詐騙基本盤嗎國人一個月有一萬五千多件可能會被詐騙那過去這五個月發生了什麼問題委員我兩句話第一個對這個數字政府從來沒有滿意過 |
transcript.whisperx[16].start |
393.583 |
transcript.whisperx[16].end |
422.059 |
transcript.whisperx[16].text |
我也不滿意你也不滿意沒有所以我要找的是問題啊他每個月都有每個月的因素因為你看院長我可以請教一下說這個問題在哪裡這五個月都有每個月有一萬五千件每個月我們都有分析過二月份特別低因為是過年期間我現在在問三月到七月七月份會比較高因為進入到暑假期間我現在在問三月到七月特別對青少年的事情沒有針對本協會有啊七月會比較高因為是暑假期間院長七月有比較高嗎對 |
transcript.whisperx[17].start |
424.244 |
transcript.whisperx[17].end |
446.102 |
transcript.whisperx[17].text |
七月沒有下降 七月有比六月高嗎七月沒有下降 因為它是暑假期間 是吧所以院長 本席現在在跟你討論的是說我們現在國內有一個所謂詐騙基本盤就是一個月有一萬五千件 已經持續了五個月有沒有注意到這個數字 所以我們逐月在分析如果把它下降是 那我們剛剛有說過 所以本席才會問是說在這五個月裡面沒有下降的問題點在哪裡 |
transcript.whisperx[18].start |
447.603 |
transcript.whisperx[18].end |
469.977 |
transcript.whisperx[18].text |
我們說有些案件它是遞延會發生六個月才會發生但這個是一直遞延下來我也覺得一直維持我首先要求的是不能往上升再來維持平衡之後就往下降我們再看下一個金額來我們再看金額的數字院長本席希望能夠跟你好好就事論事就事情討論事情來看一下這個詐騙的金額 |
transcript.whisperx[19].start |
472.622 |
transcript.whisperx[19].end |
485.175 |
transcript.whisperx[19].text |
你的報告也是畫一條紅線往下代表是說這個逐年往下嘛 對不對逐月往下嘛 但實際上是這樣子嗎實際上是這個樣子嗎我們看一下過去這五個月我們看一下過去這五個月嘛來 你看一下過去這五個月 |
transcript.whisperx[20].start |
493.064 |
transcript.whisperx[20].end |
517.265 |
transcript.whisperx[20].text |
過去這五個月從二月你剛講的農曆因為第一農曆二月天數比較少第二農曆過年放假比較多所以二月比較低但從三月一直到七月他其實呈現一個逐步往上的數字二月不是天數比較少是大團在休息放連假嘛但是三月到七月是不是一個逐步往上 |
transcript.whisperx[21].start |
518.72 |
transcript.whisperx[21].end |
531.825 |
transcript.whisperx[21].text |
是 我的要求是不能往上升一定要先壓制所以現在往上升了你的要求看起來是破功啦是不是跟委員報告就是我們要看從去年跟今年的那個重新的一個狀態比較那個也是急速的一個下降嘛院長 院長 |
transcript.whisperx[22].start |
539.745 |
transcript.whisperx[22].end |
566.561 |
transcript.whisperx[22].text |
圖形有所不同但是我不爭執這個事情我現在都是拿你今天的報告來跟你救教我今天都拿你今天的報告不是要美化數字數字是科學數字是理性數字是務實但重點是本身現在看到數字就是有問題你不能拿數字之後然後你給我一個圖表畫一條橫線往下你就以為催眠國人說現在是往下不對啊每個月有八十幾億 |
transcript.whisperx[23].start |
568.243 |
transcript.whisperx[23].end |
592.019 |
transcript.whisperx[23].text |
五月八十五億 六月八十九億 七月八十六億八十幾億的詐騙金額在被詐騙 平均一天兩億到三億也是經過我們就是打詐團隊的一個努力像以去年的話八月到十二月都是一半多月嘛那你現在就是不理性不科學的做法嗎但是我想這個都是一長期來看 這是下降趨勢就是我們打詐有一些的 |
transcript.whisperx[24].start |
592.159 |
transcript.whisperx[24].end |
595.265 |
transcript.whisperx[24].text |
部長你還要跟我扯趨勢是不是你還要跟我扯趨勢嗎這個是什麼趨勢三歲小孩都看得懂趨勢你跟我扯趨勢 |
transcript.whisperx[25].start |
603.985 |
transcript.whisperx[25].end |
629.825 |
transcript.whisperx[25].text |
我們從去年比較上它是下降的那現在足月有高高低低我們不滿意我們在這裡的對話我們這裡的對話不要讓外界覺得說您不滿意我滿意絕對不是我們都不滿意大家都不滿意所以我們會努力往下降所以民眾的民怨才會那麼高所以民眾才會希望大家好好的做實事做真事做對的事情而不是浪費時間浪費精力在搞其他的政治來 部長 |
transcript.whisperx[26].start |
631.083 |
transcript.whisperx[26].end |
659.933 |
transcript.whisperx[26].text |
剛剛我也聽到黃珊珊委員有詢問到因為我們認為是說詐騙竟然每一個都是每一個都是一個血淋淋的案例但是我們也看到今年1月到6月這刑事警察局給本席的資料已經財損561億如果看這個趨勢下去很有可能今年會破千億院長有什麼方法可以處理 |
transcript.whisperx[27].start |
662.176 |
transcript.whisperx[27].end |
686.613 |
transcript.whisperx[27].text |
剛剛我在報告裡面都把基本上的方法講了那這些方法只會越來越精進該橫向聯繫 該跨境合作該加強它的懲詐的效果跟司法院的互相的來就法制面來強化等等我們都會做這個都已經在進行當中來處理法制面的問題我先請教喔因為剛剛黃珊珊委員有提到一個案例這是四天前的一個新聞 |
transcript.whisperx[28].start |
687.413 |
transcript.whisperx[28].end |
700.05 |
transcript.whisperx[28].text |
我要不要跟那個詐騙三百萬被抓車手假釋還高調拍片說沒有想賠我們看一下內容因為剛剛聽起來是院長跟部長沒有看到這一個影片對不對 |
transcript.whisperx[29].start |
701.229 |
transcript.whisperx[29].end |
725.372 |
transcript.whisperx[29].text |
我剛才請部長要把這個影片找出來到底這個人是誰是真是假來如何處理他說錢已經被他花光了法院只跟他強制扣了有7000多塊但是他花光了300萬他本來不打算賠錢認為錢關出來之後可以繼續花但是因為爭取假釋所以說他才要去和解院長如果說到最後台灣變成是笑評不笑唱 |
transcript.whisperx[30].start |
726.653 |
transcript.whisperx[30].end |
749.511 |
transcript.whisperx[30].text |
如果說台灣社會變成是這種詐騙集團車手可以這樣子高調用社群媒體平台還這樣子肆無忌憚的把他的犯罪過程跟犯罪狀況拋在網路上你可以允許可以認同嗎所以我們現在才來講是說是不是能夠針對修法騙多少 欠多少 罰多少 |
transcript.whisperx[31].start |
750.43 |
transcript.whisperx[31].end |
771.352 |
transcript.whisperx[31].text |
他騙了三千三百多萬結果到時候他只被強制扣押七千多塊可能是因為他三百多萬全部都已經花光了所以他名下沒有這些財產我們一般的民間借款借了多少錢可能你都要還多少錢欠款都要還款但沒想到詐騙居然就可以騙多少錢不用還他應該騙的金額院長 |
transcript.whisperx[32].start |
773.732 |
transcript.whisperx[32].end |
784.719 |
transcript.whisperx[32].text |
有沒有修法空間我們要啟動修法 請部長說明這部分在委員關心就是詐偽條例43條裡面我們有就高額的一個詐欺那以現在的來講的話500萬元是 |
transcript.whisperx[33].start |
787.043 |
transcript.whisperx[33].end |
816.083 |
transcript.whisperx[33].text |
三到十年一億也是五到十二現在我們要再多一個級距我們想要是在中間如果一千萬的話就五到十二一億以上就七億以上我想這個高的渣期的這部分的確是要遏止一定要嚴加的嚴辦那這部分我們那個修正查明先再行政再審查中什麼時候可以出來我們這盡快因為這部分還邀司法院來做一個討論我們希望能夠盡快能夠達成一個公示能夠把這個法案送到立法院來審議 |
transcript.whisperx[34].start |
818.066 |
transcript.whisperx[34].end |
832.881 |
transcript.whisperx[34].text |
院長剛剛部長回答的是針對詐騙那另外嫌犯但是本席剛有提到另外一部分是針對他騙的錢因為你現在很多的案件其實你被騙的金額到時候你也是拿不回來這個是我們關心的是在詐偽條46跟47條 |
transcript.whisperx[35].start |
837.526 |
transcript.whisperx[35].end |
862.246 |
transcript.whisperx[35].text |
他那部分現在以刑事大法庭來講的話他是採報酬縮報酬縮所以說他三千七千塊只拿了一筆這是很不公平那我想我們當初的立法本來就是要全部以被害人的被交付的被害金而縮但是現在我們現在有修法有修正草案在4647條這部分仿照德國立法例我們 |
transcript.whisperx[36].start |
863.207 |
transcript.whisperx[36].end |
883.794 |
transcript.whisperx[36].text |
什麼時候可以出來我們現在是也是草案現在同時因為我自己修了好幾條8月14號那個對那個我們六位六位送過去那最近密集的在做一個開會做一個最近就在開會所以什麼來院長還是強調嘛你不能全部都是積在行政院你什麼時候可以來到立法院我們共同討論 |
transcript.whisperx[37].start |
884.878 |
transcript.whisperx[37].end |
896.785 |
transcript.whisperx[37].text |
因為這個還要跟司法院做討論我記得8月10幾號已經開過一次會了那開過會有具體結論我們就把它法治法完整 送交大院院長 三個月內有沒有辦法 |
transcript.whisperx[38].start |
898.598 |
transcript.whisperx[38].end |
922.959 |
transcript.whisperx[38].text |
現在是8月底了嘛我們9月10月會期下個會期一定提出來好不好下個會期是到12月一定提出來讓他可以大院有審議我們希望是在你總諮詢的時候總諮詢結束之後我們就可以來處理一定提出來讓大院有審議的時間好 院長其實本期還有很多的問題還有很多的意見尤其是針對我們現在所謂的這個融資公司專法 |
transcript.whisperx[39].start |
924.394 |
transcript.whisperx[39].end |
936.497 |
transcript.whisperx[39].text |
不能說融資公司因為其實大家看到很多的新聞案件融資公司也是現在有可能變成是詐騙集團的一環不要說讓劣幣驅逐良幣如果說合法的融資公司但是非法的很多的融資公司他們有受到法律管理的時候很有可能會被犯罪回酬我們看到之前被逼死的那些民修很大部分也都是給融資公司來被控告的我們會自己把他們的責任讓他們拿來 |
transcript.whisperx[40].start |
979.849 |
transcript.whisperx[40].end |
981.13 |
transcript.whisperx[40].text |
好 謝謝侯孟凱文的資訊 |