video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3777787365654675e5f021ca5103f6c053481301b577a5e537f8ca2f1dc4f42b0ad873e55dcd76e05ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
賴士葆 |
委員發言時間 |
09:31:52 - 09:46:44 |
影片長度 |
892 |
會議時間 |
2024-12-19T09:00:00+08:00 |
會議名稱 |
立法院第11屆第2會期財政委員會第11次全體委員會議(事由:一、審查中華民國114年度中央政府總預算案有關金融監督管理委員會、銀行局、證券期貨局、保險局、檢查局收支部分。(僅詢答)
二、審查中華民國114年度中央政府總預算案附屬單位預算營業部分,有關金融監督管理委員會主管中央存款保險股份有限公司。(僅詢答)
三、審查中華民國114年度中央政府總預算案附屬單位預算非營業部分,有關金融監督管理委員會主管:(僅詢答)
(一)特別收入基金-金融監督管理基金。
(二)信託基金-保險業務發展基金。
【預算提案截止時間:12月19日(四)中午12時】
【12月18日及19日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
0.48659375 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
0.97596875 |
transcript.pyannote[1].end |
1.53284375 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
1.88721875 |
transcript.pyannote[2].end |
3.05159375 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
3.35534375 |
transcript.pyannote[3].end |
3.84471875 |
transcript.pyannote[4].speaker |
SPEAKER_02 |
transcript.pyannote[4].start |
5.97096875 |
transcript.pyannote[4].end |
6.39284375 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
7.35471875 |
transcript.pyannote[5].end |
8.50221875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
7.38846875 |
transcript.pyannote[6].end |
8.26596875 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
9.09284375 |
transcript.pyannote[7].end |
11.84346875 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
12.36659375 |
transcript.pyannote[8].end |
13.00784375 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
13.49721875 |
transcript.pyannote[9].end |
15.33659375 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
15.65721875 |
transcript.pyannote[10].end |
21.17534375 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
22.00221875 |
transcript.pyannote[11].end |
22.64346875 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
23.21721875 |
transcript.pyannote[12].end |
27.87471875 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
28.34721875 |
transcript.pyannote[13].end |
28.76909375 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
28.93784375 |
transcript.pyannote[14].end |
33.03846875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
33.03846875 |
transcript.pyannote[15].end |
35.40096875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
35.87346875 |
transcript.pyannote[16].end |
40.02471875 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
40.66596875 |
transcript.pyannote[17].end |
46.96034375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
47.23034375 |
transcript.pyannote[18].end |
51.73596875 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
51.83721875 |
transcript.pyannote[19].end |
78.02721875 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
58.03034375 |
transcript.pyannote[20].end |
58.28346875 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
65.10096875 |
transcript.pyannote[21].end |
65.75909375 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
65.84346875 |
transcript.pyannote[22].end |
65.86034375 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
76.23846875 |
transcript.pyannote[23].end |
81.92534375 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
82.58346875 |
transcript.pyannote[24].end |
91.64534375 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
91.83096875 |
transcript.pyannote[25].end |
97.68659375 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
98.31096875 |
transcript.pyannote[26].end |
101.16284375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
100.63971875 |
transcript.pyannote[27].end |
131.97659375 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
101.93909375 |
transcript.pyannote[28].end |
103.03596875 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
131.97659375 |
transcript.pyannote[29].end |
132.90471875 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
132.90471875 |
transcript.pyannote[30].end |
133.03971875 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
133.03971875 |
transcript.pyannote[31].end |
133.07346875 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
133.07346875 |
transcript.pyannote[32].end |
133.09034375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
133.12409375 |
transcript.pyannote[33].end |
133.29284375 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
133.29284375 |
transcript.pyannote[34].end |
138.03471875 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
138.25409375 |
transcript.pyannote[35].end |
139.65471875 |
transcript.pyannote[36].speaker |
SPEAKER_02 |
transcript.pyannote[36].start |
140.17784375 |
transcript.pyannote[36].end |
142.64159375 |
transcript.pyannote[37].speaker |
SPEAKER_02 |
transcript.pyannote[37].start |
142.87784375 |
transcript.pyannote[37].end |
153.32346875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
143.50221875 |
transcript.pyannote[38].end |
143.72159375 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
153.67784375 |
transcript.pyannote[39].end |
158.25096875 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
158.68971875 |
transcript.pyannote[40].end |
161.03534375 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
161.47409375 |
transcript.pyannote[41].end |
169.97909375 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
170.92409375 |
transcript.pyannote[42].end |
171.68346875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
171.68346875 |
transcript.pyannote[43].end |
171.76784375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
171.86909375 |
transcript.pyannote[44].end |
180.37409375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
180.55971875 |
transcript.pyannote[45].end |
182.97284375 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
181.35284375 |
transcript.pyannote[46].end |
181.96034375 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
182.97284375 |
transcript.pyannote[47].end |
183.27659375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
183.27659375 |
transcript.pyannote[48].end |
192.96284375 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
189.03096875 |
transcript.pyannote[49].end |
189.43596875 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
192.13596875 |
transcript.pyannote[50].end |
193.31721875 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
193.43534375 |
transcript.pyannote[51].end |
196.74284375 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
197.21534375 |
transcript.pyannote[52].end |
199.03784375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
199.03784375 |
transcript.pyannote[53].end |
199.12221875 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
199.94909375 |
transcript.pyannote[54].end |
200.03346875 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
200.03346875 |
transcript.pyannote[55].end |
206.41221875 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
206.47971875 |
transcript.pyannote[56].end |
210.73221875 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
207.71159375 |
transcript.pyannote[57].end |
207.96471875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
211.39034375 |
transcript.pyannote[58].end |
214.64721875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
215.06909375 |
transcript.pyannote[59].end |
215.96346875 |
transcript.pyannote[60].speaker |
SPEAKER_02 |
transcript.pyannote[60].start |
215.96346875 |
transcript.pyannote[60].end |
216.03096875 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
216.03096875 |
transcript.pyannote[61].end |
216.97596875 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
216.97596875 |
transcript.pyannote[62].end |
217.00971875 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
217.93784375 |
transcript.pyannote[63].end |
218.46096875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
218.46096875 |
transcript.pyannote[64].end |
218.91659375 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
218.91659375 |
transcript.pyannote[65].end |
219.00096875 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
219.23721875 |
transcript.pyannote[66].end |
220.30034375 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
219.50721875 |
transcript.pyannote[67].end |
219.52409375 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
220.30034375 |
transcript.pyannote[68].end |
220.35096875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
220.50284375 |
transcript.pyannote[69].end |
241.56284375 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
241.98471875 |
transcript.pyannote[70].end |
244.00971875 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
244.80284375 |
transcript.pyannote[71].end |
246.18659375 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
246.86159375 |
transcript.pyannote[72].end |
247.65471875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
248.14409375 |
transcript.pyannote[73].end |
248.32971875 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
248.88659375 |
transcript.pyannote[74].end |
249.08909375 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
249.08909375 |
transcript.pyannote[75].end |
249.10596875 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
249.10596875 |
transcript.pyannote[76].end |
249.24096875 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
249.35909375 |
transcript.pyannote[77].end |
251.73846875 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
251.73846875 |
transcript.pyannote[78].end |
253.20659375 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
253.81409375 |
transcript.pyannote[79].end |
255.50159375 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
256.53096875 |
transcript.pyannote[80].end |
258.06659375 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
258.21846875 |
transcript.pyannote[81].end |
260.04096875 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
261.89721875 |
transcript.pyannote[82].end |
262.38659375 |
transcript.pyannote[83].speaker |
SPEAKER_02 |
transcript.pyannote[83].start |
263.12909375 |
transcript.pyannote[83].end |
264.46221875 |
transcript.pyannote[84].speaker |
SPEAKER_02 |
transcript.pyannote[84].start |
264.66471875 |
transcript.pyannote[84].end |
265.01909375 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
265.30596875 |
transcript.pyannote[85].end |
266.28471875 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
266.40284375 |
transcript.pyannote[86].end |
267.22971875 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
268.22534375 |
transcript.pyannote[87].end |
268.54596875 |
transcript.pyannote[88].speaker |
SPEAKER_02 |
transcript.pyannote[88].start |
268.96784375 |
transcript.pyannote[88].end |
270.11534375 |
transcript.pyannote[89].speaker |
SPEAKER_02 |
transcript.pyannote[89].start |
270.43596875 |
transcript.pyannote[89].end |
271.27971875 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
271.27971875 |
transcript.pyannote[90].end |
273.23721875 |
transcript.pyannote[91].speaker |
SPEAKER_02 |
transcript.pyannote[91].start |
273.23721875 |
transcript.pyannote[91].end |
277.43909375 |
transcript.pyannote[92].speaker |
SPEAKER_02 |
transcript.pyannote[92].start |
278.09721875 |
transcript.pyannote[92].end |
279.26159375 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
279.56534375 |
transcript.pyannote[93].end |
280.03784375 |
transcript.pyannote[94].speaker |
SPEAKER_02 |
transcript.pyannote[94].start |
280.29096875 |
transcript.pyannote[94].end |
281.65784375 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
282.21471875 |
transcript.pyannote[95].end |
283.54784375 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
284.84721875 |
transcript.pyannote[96].end |
287.20971875 |
transcript.pyannote[97].speaker |
SPEAKER_02 |
transcript.pyannote[97].start |
287.39534375 |
transcript.pyannote[97].end |
288.64409375 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
289.97721875 |
transcript.pyannote[98].end |
290.56784375 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
291.02346875 |
transcript.pyannote[99].end |
291.79971875 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
292.06971875 |
transcript.pyannote[100].end |
292.87971875 |
transcript.pyannote[101].speaker |
SPEAKER_02 |
transcript.pyannote[101].start |
293.11596875 |
transcript.pyannote[101].end |
293.62221875 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
293.94284375 |
transcript.pyannote[102].end |
294.75284375 |
transcript.pyannote[103].speaker |
SPEAKER_02 |
transcript.pyannote[103].start |
295.52909375 |
transcript.pyannote[103].end |
296.40659375 |
transcript.pyannote[104].speaker |
SPEAKER_02 |
transcript.pyannote[104].start |
297.33471875 |
transcript.pyannote[104].end |
298.31346875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
298.87034375 |
transcript.pyannote[105].end |
301.46909375 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
301.60409375 |
transcript.pyannote[106].end |
311.20596875 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
311.40846875 |
transcript.pyannote[107].end |
313.55159375 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
313.95659375 |
transcript.pyannote[108].end |
327.03471875 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
327.03471875 |
transcript.pyannote[109].end |
335.57346875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
335.86034375 |
transcript.pyannote[110].end |
342.47534375 |
transcript.pyannote[111].speaker |
SPEAKER_02 |
transcript.pyannote[111].start |
342.93096875 |
transcript.pyannote[111].end |
344.53409375 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
345.32721875 |
transcript.pyannote[112].end |
346.54221875 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
346.89659375 |
transcript.pyannote[113].end |
348.75284375 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
349.15784375 |
transcript.pyannote[114].end |
352.27971875 |
transcript.pyannote[115].speaker |
SPEAKER_02 |
transcript.pyannote[115].start |
353.07284375 |
transcript.pyannote[115].end |
355.40159375 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
355.40159375 |
transcript.pyannote[116].end |
355.41846875 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
357.00471875 |
transcript.pyannote[117].end |
374.36909375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
374.72346875 |
transcript.pyannote[118].end |
379.97159375 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
380.44409375 |
transcript.pyannote[119].end |
381.86159375 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
382.11471875 |
transcript.pyannote[120].end |
386.80596875 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
387.51471875 |
transcript.pyannote[121].end |
389.82659375 |
transcript.pyannote[122].speaker |
SPEAKER_02 |
transcript.pyannote[122].start |
388.72971875 |
transcript.pyannote[122].end |
388.93221875 |
transcript.pyannote[123].speaker |
SPEAKER_02 |
transcript.pyannote[123].start |
389.03346875 |
transcript.pyannote[123].end |
389.48909375 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
390.73784375 |
transcript.pyannote[124].end |
393.85971875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
391.05846875 |
transcript.pyannote[125].end |
391.80096875 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
394.01159375 |
transcript.pyannote[126].end |
402.04409375 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
396.35721875 |
transcript.pyannote[127].end |
398.01096875 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
400.55909375 |
transcript.pyannote[128].end |
401.01471875 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
401.35221875 |
transcript.pyannote[129].end |
401.70659375 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
402.43221875 |
transcript.pyannote[130].end |
402.49971875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
402.78659375 |
transcript.pyannote[131].end |
405.68909375 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
405.68909375 |
transcript.pyannote[132].end |
405.84096875 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
405.84096875 |
transcript.pyannote[133].end |
405.89159375 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
405.89159375 |
transcript.pyannote[134].end |
405.90846875 |
transcript.pyannote[135].speaker |
SPEAKER_02 |
transcript.pyannote[135].start |
406.73534375 |
transcript.pyannote[135].end |
407.17409375 |
transcript.pyannote[136].speaker |
SPEAKER_02 |
transcript.pyannote[136].start |
407.62971875 |
transcript.pyannote[136].end |
409.60409375 |
transcript.pyannote[137].speaker |
SPEAKER_02 |
transcript.pyannote[137].start |
410.29596875 |
transcript.pyannote[137].end |
412.27034375 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
412.43909375 |
transcript.pyannote[138].end |
417.75471875 |
transcript.pyannote[139].speaker |
SPEAKER_02 |
transcript.pyannote[139].start |
418.29471875 |
transcript.pyannote[139].end |
421.12971875 |
transcript.pyannote[140].speaker |
SPEAKER_02 |
transcript.pyannote[140].start |
421.99034375 |
transcript.pyannote[140].end |
422.93534375 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
423.12096875 |
transcript.pyannote[141].end |
423.71159375 |
transcript.pyannote[142].speaker |
SPEAKER_02 |
transcript.pyannote[142].start |
424.97721875 |
transcript.pyannote[142].end |
425.71971875 |
transcript.pyannote[143].speaker |
SPEAKER_02 |
transcript.pyannote[143].start |
427.06971875 |
transcript.pyannote[143].end |
428.94284375 |
transcript.pyannote[144].speaker |
SPEAKER_02 |
transcript.pyannote[144].start |
429.16221875 |
transcript.pyannote[144].end |
429.58409375 |
transcript.pyannote[145].speaker |
SPEAKER_02 |
transcript.pyannote[145].start |
430.07346875 |
transcript.pyannote[145].end |
430.73159375 |
transcript.pyannote[146].speaker |
SPEAKER_02 |
transcript.pyannote[146].start |
431.33909375 |
transcript.pyannote[146].end |
434.79846875 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
434.79846875 |
transcript.pyannote[147].end |
434.84909375 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
434.84909375 |
transcript.pyannote[148].end |
434.89971875 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
434.96721875 |
transcript.pyannote[149].end |
436.68846875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
437.22846875 |
transcript.pyannote[150].end |
447.48846875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
448.39971875 |
transcript.pyannote[151].end |
461.19096875 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
454.77846875 |
transcript.pyannote[152].end |
456.14534375 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
461.81534375 |
transcript.pyannote[153].end |
470.97846875 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
464.58284375 |
transcript.pyannote[154].end |
466.00034375 |
transcript.pyannote[155].speaker |
SPEAKER_02 |
transcript.pyannote[155].start |
469.12221875 |
transcript.pyannote[155].end |
470.32034375 |
transcript.pyannote[156].speaker |
SPEAKER_02 |
transcript.pyannote[156].start |
470.97846875 |
transcript.pyannote[156].end |
471.13034375 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
471.68721875 |
transcript.pyannote[157].end |
471.70409375 |
transcript.pyannote[158].speaker |
SPEAKER_02 |
transcript.pyannote[158].start |
471.70409375 |
transcript.pyannote[158].end |
473.74596875 |
transcript.pyannote[159].speaker |
SPEAKER_02 |
transcript.pyannote[159].start |
474.28596875 |
transcript.pyannote[159].end |
475.85534375 |
transcript.pyannote[160].speaker |
SPEAKER_02 |
transcript.pyannote[160].start |
477.18846875 |
transcript.pyannote[160].end |
478.06596875 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
478.15034375 |
transcript.pyannote[161].end |
479.71971875 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
480.27659375 |
transcript.pyannote[162].end |
483.12846875 |
transcript.pyannote[163].speaker |
SPEAKER_02 |
transcript.pyannote[163].start |
483.80346875 |
transcript.pyannote[163].end |
485.05221875 |
transcript.pyannote[164].speaker |
SPEAKER_02 |
transcript.pyannote[164].start |
485.33909375 |
transcript.pyannote[164].end |
487.34721875 |
transcript.pyannote[165].speaker |
SPEAKER_02 |
transcript.pyannote[165].start |
487.81971875 |
transcript.pyannote[165].end |
488.32596875 |
transcript.pyannote[166].speaker |
SPEAKER_02 |
transcript.pyannote[166].start |
489.00096875 |
transcript.pyannote[166].end |
491.16096875 |
transcript.pyannote[167].speaker |
SPEAKER_02 |
transcript.pyannote[167].start |
491.51534375 |
transcript.pyannote[167].end |
494.99159375 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
495.34596875 |
transcript.pyannote[168].end |
497.03346875 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
497.03346875 |
transcript.pyannote[169].end |
526.37909375 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
512.79471875 |
transcript.pyannote[170].end |
512.99721875 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
512.99721875 |
transcript.pyannote[171].end |
513.97596875 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
513.97596875 |
transcript.pyannote[172].end |
515.03909375 |
transcript.pyannote[173].speaker |
SPEAKER_02 |
transcript.pyannote[173].start |
515.03909375 |
transcript.pyannote[173].end |
515.44409375 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
517.33409375 |
transcript.pyannote[174].end |
517.35096875 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
517.35096875 |
transcript.pyannote[175].end |
518.21159375 |
transcript.pyannote[176].speaker |
SPEAKER_02 |
transcript.pyannote[176].start |
523.07159375 |
transcript.pyannote[176].end |
524.75909375 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
526.61534375 |
transcript.pyannote[177].end |
531.98159375 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
532.72409375 |
transcript.pyannote[178].end |
535.15409375 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
535.81221875 |
transcript.pyannote[179].end |
536.58846875 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
536.80784375 |
transcript.pyannote[180].end |
544.73909375 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
542.78159375 |
transcript.pyannote[181].end |
543.67596875 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
544.90784375 |
transcript.pyannote[182].end |
547.97909375 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
548.16471875 |
transcript.pyannote[183].end |
560.16284375 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
551.64096875 |
transcript.pyannote[184].end |
551.65784375 |
transcript.pyannote[185].speaker |
SPEAKER_02 |
transcript.pyannote[185].start |
551.65784375 |
transcript.pyannote[185].end |
552.29909375 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
552.29909375 |
transcript.pyannote[186].end |
552.48471875 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
561.37784375 |
transcript.pyannote[187].end |
569.44409375 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
570.25409375 |
transcript.pyannote[188].end |
570.62534375 |
transcript.pyannote[189].speaker |
SPEAKER_02 |
transcript.pyannote[189].start |
570.42284375 |
transcript.pyannote[189].end |
570.82784375 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
570.82784375 |
transcript.pyannote[190].end |
571.03034375 |
transcript.pyannote[191].speaker |
SPEAKER_02 |
transcript.pyannote[191].start |
571.03034375 |
transcript.pyannote[191].end |
571.09784375 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
571.09784375 |
transcript.pyannote[192].end |
571.97534375 |
transcript.pyannote[193].speaker |
SPEAKER_02 |
transcript.pyannote[193].start |
571.97534375 |
transcript.pyannote[193].end |
577.91534375 |
transcript.pyannote[194].speaker |
SPEAKER_02 |
transcript.pyannote[194].start |
578.42159375 |
transcript.pyannote[194].end |
582.03284375 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
582.03284375 |
transcript.pyannote[195].end |
582.60659375 |
transcript.pyannote[196].speaker |
SPEAKER_02 |
transcript.pyannote[196].start |
582.60659375 |
transcript.pyannote[196].end |
582.91034375 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
582.91034375 |
transcript.pyannote[197].end |
590.74034375 |
transcript.pyannote[198].speaker |
SPEAKER_02 |
transcript.pyannote[198].start |
583.56846875 |
transcript.pyannote[198].end |
583.60221875 |
transcript.pyannote[199].speaker |
SPEAKER_02 |
transcript.pyannote[199].start |
583.65284375 |
transcript.pyannote[199].end |
583.66971875 |
transcript.pyannote[200].speaker |
SPEAKER_02 |
transcript.pyannote[200].start |
584.34471875 |
transcript.pyannote[200].end |
584.63159375 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
590.97659375 |
transcript.pyannote[201].end |
591.97221875 |
transcript.pyannote[202].speaker |
SPEAKER_02 |
transcript.pyannote[202].start |
591.97221875 |
transcript.pyannote[202].end |
592.32659375 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
592.32659375 |
transcript.pyannote[203].end |
592.49534375 |
transcript.pyannote[204].speaker |
SPEAKER_02 |
transcript.pyannote[204].start |
592.49534375 |
transcript.pyannote[204].end |
592.91721875 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
592.91721875 |
transcript.pyannote[205].end |
592.93409375 |
transcript.pyannote[206].speaker |
SPEAKER_02 |
transcript.pyannote[206].start |
593.30534375 |
transcript.pyannote[206].end |
595.93784375 |
transcript.pyannote[207].speaker |
SPEAKER_02 |
transcript.pyannote[207].start |
596.37659375 |
transcript.pyannote[207].end |
597.64221875 |
transcript.pyannote[208].speaker |
SPEAKER_02 |
transcript.pyannote[208].start |
597.77721875 |
transcript.pyannote[208].end |
599.54909375 |
transcript.pyannote[209].speaker |
SPEAKER_02 |
transcript.pyannote[209].start |
600.57846875 |
transcript.pyannote[209].end |
603.14346875 |
transcript.pyannote[210].speaker |
SPEAKER_02 |
transcript.pyannote[210].start |
604.32471875 |
transcript.pyannote[210].end |
605.84346875 |
transcript.pyannote[211].speaker |
SPEAKER_02 |
transcript.pyannote[211].start |
606.45096875 |
transcript.pyannote[211].end |
607.17659375 |
transcript.pyannote[212].speaker |
SPEAKER_02 |
transcript.pyannote[212].start |
607.76721875 |
transcript.pyannote[212].end |
611.85096875 |
transcript.pyannote[213].speaker |
SPEAKER_02 |
transcript.pyannote[213].start |
612.13784375 |
transcript.pyannote[213].end |
612.96471875 |
transcript.pyannote[214].speaker |
SPEAKER_02 |
transcript.pyannote[214].start |
613.67346875 |
transcript.pyannote[214].end |
616.44096875 |
transcript.pyannote[215].speaker |
SPEAKER_02 |
transcript.pyannote[215].start |
616.81221875 |
transcript.pyannote[215].end |
618.93846875 |
transcript.pyannote[216].speaker |
SPEAKER_02 |
transcript.pyannote[216].start |
619.17471875 |
transcript.pyannote[216].end |
620.62596875 |
transcript.pyannote[217].speaker |
SPEAKER_02 |
transcript.pyannote[217].start |
621.09846875 |
transcript.pyannote[217].end |
625.03034375 |
transcript.pyannote[218].speaker |
SPEAKER_02 |
transcript.pyannote[218].start |
625.70534375 |
transcript.pyannote[218].end |
630.58221875 |
transcript.pyannote[219].speaker |
SPEAKER_02 |
transcript.pyannote[219].start |
631.61159375 |
transcript.pyannote[219].end |
636.97784375 |
transcript.pyannote[220].speaker |
SPEAKER_02 |
transcript.pyannote[220].start |
637.28159375 |
transcript.pyannote[220].end |
649.16159375 |
transcript.pyannote[221].speaker |
SPEAKER_02 |
transcript.pyannote[221].start |
649.73534375 |
transcript.pyannote[221].end |
650.07284375 |
transcript.pyannote[222].speaker |
SPEAKER_02 |
transcript.pyannote[222].start |
650.62971875 |
transcript.pyannote[222].end |
652.01346875 |
transcript.pyannote[223].speaker |
SPEAKER_02 |
transcript.pyannote[223].start |
652.94159375 |
transcript.pyannote[223].end |
656.21534375 |
transcript.pyannote[224].speaker |
SPEAKER_01 |
transcript.pyannote[224].start |
656.21534375 |
transcript.pyannote[224].end |
656.23221875 |
transcript.pyannote[225].speaker |
SPEAKER_01 |
transcript.pyannote[225].start |
656.90721875 |
transcript.pyannote[225].end |
660.41721875 |
transcript.pyannote[226].speaker |
SPEAKER_02 |
transcript.pyannote[226].start |
658.57784375 |
transcript.pyannote[226].end |
659.50596875 |
transcript.pyannote[227].speaker |
SPEAKER_01 |
transcript.pyannote[227].start |
660.58596875 |
transcript.pyannote[227].end |
666.57659375 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
667.43721875 |
transcript.pyannote[228].end |
672.80346875 |
transcript.pyannote[229].speaker |
SPEAKER_01 |
transcript.pyannote[229].start |
673.64721875 |
transcript.pyannote[229].end |
681.32534375 |
transcript.pyannote[230].speaker |
SPEAKER_02 |
transcript.pyannote[230].start |
675.03096875 |
transcript.pyannote[230].end |
677.29221875 |
transcript.pyannote[231].speaker |
SPEAKER_02 |
transcript.pyannote[231].start |
677.76471875 |
transcript.pyannote[231].end |
678.54096875 |
transcript.pyannote[232].speaker |
SPEAKER_01 |
transcript.pyannote[232].start |
681.59534375 |
transcript.pyannote[232].end |
682.96221875 |
transcript.pyannote[233].speaker |
SPEAKER_02 |
transcript.pyannote[233].start |
682.96221875 |
transcript.pyannote[233].end |
683.72159375 |
transcript.pyannote[234].speaker |
SPEAKER_01 |
transcript.pyannote[234].start |
683.72159375 |
transcript.pyannote[234].end |
683.78909375 |
transcript.pyannote[235].speaker |
SPEAKER_01 |
transcript.pyannote[235].start |
683.85659375 |
transcript.pyannote[235].end |
683.87346875 |
transcript.pyannote[236].speaker |
SPEAKER_02 |
transcript.pyannote[236].start |
683.87346875 |
transcript.pyannote[236].end |
685.49346875 |
transcript.pyannote[237].speaker |
SPEAKER_02 |
transcript.pyannote[237].start |
686.43846875 |
transcript.pyannote[237].end |
687.94034375 |
transcript.pyannote[238].speaker |
SPEAKER_02 |
transcript.pyannote[238].start |
688.05846875 |
transcript.pyannote[238].end |
689.20596875 |
transcript.pyannote[239].speaker |
SPEAKER_02 |
transcript.pyannote[239].start |
690.18471875 |
transcript.pyannote[239].end |
691.70346875 |
transcript.pyannote[240].speaker |
SPEAKER_02 |
transcript.pyannote[240].start |
692.27721875 |
transcript.pyannote[240].end |
695.66909375 |
transcript.pyannote[241].speaker |
SPEAKER_02 |
transcript.pyannote[241].start |
695.80409375 |
transcript.pyannote[241].end |
696.64784375 |
transcript.pyannote[242].speaker |
SPEAKER_02 |
transcript.pyannote[242].start |
697.05284375 |
transcript.pyannote[242].end |
701.03534375 |
transcript.pyannote[243].speaker |
SPEAKER_02 |
transcript.pyannote[243].start |
701.10284375 |
transcript.pyannote[243].end |
707.63346875 |
transcript.pyannote[244].speaker |
SPEAKER_02 |
transcript.pyannote[244].start |
708.19034375 |
transcript.pyannote[244].end |
712.29096875 |
transcript.pyannote[245].speaker |
SPEAKER_02 |
transcript.pyannote[245].start |
712.56096875 |
transcript.pyannote[245].end |
713.30346875 |
transcript.pyannote[246].speaker |
SPEAKER_02 |
transcript.pyannote[246].start |
714.31596875 |
transcript.pyannote[246].end |
714.55221875 |
transcript.pyannote[247].speaker |
SPEAKER_02 |
transcript.pyannote[247].start |
715.12596875 |
transcript.pyannote[247].end |
716.35784375 |
transcript.pyannote[248].speaker |
SPEAKER_01 |
transcript.pyannote[248].start |
716.35784375 |
transcript.pyannote[248].end |
716.39159375 |
transcript.pyannote[249].speaker |
SPEAKER_01 |
transcript.pyannote[249].start |
716.52659375 |
transcript.pyannote[249].end |
716.54346875 |
transcript.pyannote[250].speaker |
SPEAKER_02 |
transcript.pyannote[250].start |
716.54346875 |
transcript.pyannote[250].end |
717.65721875 |
transcript.pyannote[251].speaker |
SPEAKER_01 |
transcript.pyannote[251].start |
717.65721875 |
transcript.pyannote[251].end |
717.70784375 |
transcript.pyannote[252].speaker |
SPEAKER_01 |
transcript.pyannote[252].start |
718.26471875 |
transcript.pyannote[252].end |
718.28159375 |
transcript.pyannote[253].speaker |
SPEAKER_02 |
transcript.pyannote[253].start |
718.28159375 |
transcript.pyannote[253].end |
718.92284375 |
transcript.pyannote[254].speaker |
SPEAKER_01 |
transcript.pyannote[254].start |
718.29846875 |
transcript.pyannote[254].end |
722.56784375 |
transcript.pyannote[255].speaker |
SPEAKER_02 |
transcript.pyannote[255].start |
720.00284375 |
transcript.pyannote[255].end |
722.70284375 |
transcript.pyannote[256].speaker |
SPEAKER_01 |
transcript.pyannote[256].start |
722.70284375 |
transcript.pyannote[256].end |
722.77034375 |
transcript.pyannote[257].speaker |
SPEAKER_02 |
transcript.pyannote[257].start |
722.77034375 |
transcript.pyannote[257].end |
723.76596875 |
transcript.pyannote[258].speaker |
SPEAKER_01 |
transcript.pyannote[258].start |
722.85471875 |
transcript.pyannote[258].end |
723.81659375 |
transcript.pyannote[259].speaker |
SPEAKER_02 |
transcript.pyannote[259].start |
724.08659375 |
transcript.pyannote[259].end |
724.12034375 |
transcript.pyannote[260].speaker |
SPEAKER_01 |
transcript.pyannote[260].start |
724.12034375 |
transcript.pyannote[260].end |
724.13721875 |
transcript.pyannote[261].speaker |
SPEAKER_02 |
transcript.pyannote[261].start |
724.13721875 |
transcript.pyannote[261].end |
725.28471875 |
transcript.pyannote[262].speaker |
SPEAKER_02 |
transcript.pyannote[262].start |
726.93846875 |
transcript.pyannote[262].end |
730.78596875 |
transcript.pyannote[263].speaker |
SPEAKER_01 |
transcript.pyannote[263].start |
728.77784375 |
transcript.pyannote[263].end |
728.96346875 |
transcript.pyannote[264].speaker |
SPEAKER_01 |
transcript.pyannote[264].start |
731.69721875 |
transcript.pyannote[264].end |
736.06784375 |
transcript.pyannote[265].speaker |
SPEAKER_01 |
transcript.pyannote[265].start |
736.40534375 |
transcript.pyannote[265].end |
745.23096875 |
transcript.pyannote[266].speaker |
SPEAKER_02 |
transcript.pyannote[266].start |
742.19346875 |
transcript.pyannote[266].end |
742.54784375 |
transcript.pyannote[267].speaker |
SPEAKER_02 |
transcript.pyannote[267].start |
742.86846875 |
transcript.pyannote[267].end |
743.64471875 |
transcript.pyannote[268].speaker |
SPEAKER_02 |
transcript.pyannote[268].start |
745.23096875 |
transcript.pyannote[268].end |
745.29846875 |
transcript.pyannote[269].speaker |
SPEAKER_01 |
transcript.pyannote[269].start |
745.29846875 |
transcript.pyannote[269].end |
745.48409375 |
transcript.pyannote[270].speaker |
SPEAKER_01 |
transcript.pyannote[270].start |
745.75409375 |
transcript.pyannote[270].end |
745.97346875 |
transcript.pyannote[271].speaker |
SPEAKER_02 |
transcript.pyannote[271].start |
745.97346875 |
transcript.pyannote[271].end |
747.39096875 |
transcript.pyannote[272].speaker |
SPEAKER_01 |
transcript.pyannote[272].start |
747.79596875 |
transcript.pyannote[272].end |
747.81284375 |
transcript.pyannote[273].speaker |
SPEAKER_02 |
transcript.pyannote[273].start |
747.81284375 |
transcript.pyannote[273].end |
749.34846875 |
transcript.pyannote[274].speaker |
SPEAKER_02 |
transcript.pyannote[274].start |
749.82096875 |
transcript.pyannote[274].end |
750.47909375 |
transcript.pyannote[275].speaker |
SPEAKER_02 |
transcript.pyannote[275].start |
750.74909375 |
transcript.pyannote[275].end |
752.14971875 |
transcript.pyannote[276].speaker |
SPEAKER_02 |
transcript.pyannote[276].start |
752.41971875 |
transcript.pyannote[276].end |
754.12409375 |
transcript.pyannote[277].speaker |
SPEAKER_02 |
transcript.pyannote[277].start |
755.32221875 |
transcript.pyannote[277].end |
755.33909375 |
transcript.pyannote[278].speaker |
SPEAKER_01 |
transcript.pyannote[278].start |
755.33909375 |
transcript.pyannote[278].end |
755.64284375 |
transcript.pyannote[279].speaker |
SPEAKER_01 |
transcript.pyannote[279].start |
756.19971875 |
transcript.pyannote[279].end |
766.02096875 |
transcript.pyannote[280].speaker |
SPEAKER_02 |
transcript.pyannote[280].start |
760.30034375 |
transcript.pyannote[280].end |
761.61659375 |
transcript.pyannote[281].speaker |
SPEAKER_02 |
transcript.pyannote[281].start |
762.42659375 |
transcript.pyannote[281].end |
762.73034375 |
transcript.pyannote[282].speaker |
SPEAKER_02 |
transcript.pyannote[282].start |
763.06784375 |
transcript.pyannote[282].end |
763.96221875 |
transcript.pyannote[283].speaker |
SPEAKER_00 |
transcript.pyannote[283].start |
763.96221875 |
transcript.pyannote[283].end |
764.01284375 |
transcript.pyannote[284].speaker |
SPEAKER_00 |
transcript.pyannote[284].start |
764.38409375 |
transcript.pyannote[284].end |
764.41784375 |
transcript.pyannote[285].speaker |
SPEAKER_02 |
transcript.pyannote[285].start |
764.41784375 |
transcript.pyannote[285].end |
764.95784375 |
transcript.pyannote[286].speaker |
SPEAKER_01 |
transcript.pyannote[286].start |
766.74659375 |
transcript.pyannote[286].end |
767.45534375 |
transcript.pyannote[287].speaker |
SPEAKER_02 |
transcript.pyannote[287].start |
767.45534375 |
transcript.pyannote[287].end |
767.48909375 |
transcript.pyannote[288].speaker |
SPEAKER_02 |
transcript.pyannote[288].start |
768.88971875 |
transcript.pyannote[288].end |
770.34096875 |
transcript.pyannote[289].speaker |
SPEAKER_02 |
transcript.pyannote[289].start |
771.47159375 |
transcript.pyannote[289].end |
773.66534375 |
transcript.pyannote[290].speaker |
SPEAKER_02 |
transcript.pyannote[290].start |
774.28971875 |
transcript.pyannote[290].end |
776.50034375 |
transcript.pyannote[291].speaker |
SPEAKER_02 |
transcript.pyannote[291].start |
777.86721875 |
transcript.pyannote[291].end |
779.03159375 |
transcript.pyannote[292].speaker |
SPEAKER_02 |
transcript.pyannote[292].start |
779.48721875 |
transcript.pyannote[292].end |
779.92596875 |
transcript.pyannote[293].speaker |
SPEAKER_02 |
transcript.pyannote[293].start |
780.09471875 |
transcript.pyannote[293].end |
781.66409375 |
transcript.pyannote[294].speaker |
SPEAKER_02 |
transcript.pyannote[294].start |
782.00159375 |
transcript.pyannote[294].end |
784.22909375 |
transcript.pyannote[295].speaker |
SPEAKER_01 |
transcript.pyannote[295].start |
784.39784375 |
transcript.pyannote[295].end |
784.51596875 |
transcript.pyannote[296].speaker |
SPEAKER_02 |
transcript.pyannote[296].start |
784.51596875 |
transcript.pyannote[296].end |
786.65909375 |
transcript.pyannote[297].speaker |
SPEAKER_02 |
transcript.pyannote[297].start |
787.33409375 |
transcript.pyannote[297].end |
788.54909375 |
transcript.pyannote[298].speaker |
SPEAKER_02 |
transcript.pyannote[298].start |
789.00471875 |
transcript.pyannote[298].end |
789.67971875 |
transcript.pyannote[299].speaker |
SPEAKER_02 |
transcript.pyannote[299].start |
791.53596875 |
transcript.pyannote[299].end |
796.78409375 |
transcript.pyannote[300].speaker |
SPEAKER_02 |
transcript.pyannote[300].start |
796.98659375 |
transcript.pyannote[300].end |
801.94784375 |
transcript.pyannote[301].speaker |
SPEAKER_02 |
transcript.pyannote[301].start |
803.07846875 |
transcript.pyannote[301].end |
805.84596875 |
transcript.pyannote[302].speaker |
SPEAKER_02 |
transcript.pyannote[302].start |
806.90909375 |
transcript.pyannote[302].end |
807.93846875 |
transcript.pyannote[303].speaker |
SPEAKER_02 |
transcript.pyannote[303].start |
808.19159375 |
transcript.pyannote[303].end |
813.33846875 |
transcript.pyannote[304].speaker |
SPEAKER_01 |
transcript.pyannote[304].start |
814.89096875 |
transcript.pyannote[304].end |
815.29596875 |
transcript.pyannote[305].speaker |
SPEAKER_01 |
transcript.pyannote[305].start |
815.46471875 |
transcript.pyannote[305].end |
820.56096875 |
transcript.pyannote[306].speaker |
SPEAKER_01 |
transcript.pyannote[306].start |
821.13471875 |
transcript.pyannote[306].end |
822.33284375 |
transcript.pyannote[307].speaker |
SPEAKER_00 |
transcript.pyannote[307].start |
823.14284375 |
transcript.pyannote[307].end |
823.17659375 |
transcript.pyannote[308].speaker |
SPEAKER_02 |
transcript.pyannote[308].start |
823.17659375 |
transcript.pyannote[308].end |
824.83034375 |
transcript.pyannote[309].speaker |
SPEAKER_01 |
transcript.pyannote[309].start |
823.19346875 |
transcript.pyannote[309].end |
824.37471875 |
transcript.pyannote[310].speaker |
SPEAKER_02 |
transcript.pyannote[310].start |
824.96534375 |
transcript.pyannote[310].end |
825.89346875 |
transcript.pyannote[311].speaker |
SPEAKER_00 |
transcript.pyannote[311].start |
825.23534375 |
transcript.pyannote[311].end |
825.26909375 |
transcript.pyannote[312].speaker |
SPEAKER_00 |
transcript.pyannote[312].start |
825.28596875 |
transcript.pyannote[312].end |
825.30284375 |
transcript.pyannote[313].speaker |
SPEAKER_00 |
transcript.pyannote[313].start |
825.37034375 |
transcript.pyannote[313].end |
825.58971875 |
transcript.pyannote[314].speaker |
SPEAKER_00 |
transcript.pyannote[314].start |
825.60659375 |
transcript.pyannote[314].end |
825.64034375 |
transcript.pyannote[315].speaker |
SPEAKER_00 |
transcript.pyannote[315].start |
826.60221875 |
transcript.pyannote[315].end |
826.73721875 |
transcript.pyannote[316].speaker |
SPEAKER_00 |
transcript.pyannote[316].start |
826.90596875 |
transcript.pyannote[316].end |
835.59659375 |
transcript.pyannote[317].speaker |
SPEAKER_00 |
transcript.pyannote[317].start |
836.42346875 |
transcript.pyannote[317].end |
845.60346875 |
transcript.pyannote[318].speaker |
SPEAKER_02 |
transcript.pyannote[318].start |
841.43534375 |
transcript.pyannote[318].end |
841.92471875 |
transcript.pyannote[319].speaker |
SPEAKER_02 |
transcript.pyannote[319].start |
843.10596875 |
transcript.pyannote[319].end |
844.16909375 |
transcript.pyannote[320].speaker |
SPEAKER_02 |
transcript.pyannote[320].start |
845.24909375 |
transcript.pyannote[320].end |
850.09221875 |
transcript.pyannote[321].speaker |
SPEAKER_02 |
transcript.pyannote[321].start |
850.24409375 |
transcript.pyannote[321].end |
853.46721875 |
transcript.pyannote[322].speaker |
SPEAKER_02 |
transcript.pyannote[322].start |
853.48409375 |
transcript.pyannote[322].end |
856.33596875 |
transcript.pyannote[323].speaker |
SPEAKER_02 |
transcript.pyannote[323].start |
857.01096875 |
transcript.pyannote[323].end |
858.05721875 |
transcript.pyannote[324].speaker |
SPEAKER_00 |
transcript.pyannote[324].start |
858.63096875 |
transcript.pyannote[324].end |
860.45346875 |
transcript.pyannote[325].speaker |
SPEAKER_00 |
transcript.pyannote[325].start |
860.52096875 |
transcript.pyannote[325].end |
864.58784375 |
transcript.pyannote[326].speaker |
SPEAKER_02 |
transcript.pyannote[326].start |
863.27159375 |
transcript.pyannote[326].end |
866.52846875 |
transcript.pyannote[327].speaker |
SPEAKER_00 |
transcript.pyannote[327].start |
864.97596875 |
transcript.pyannote[327].end |
865.83659375 |
transcript.pyannote[328].speaker |
SPEAKER_02 |
transcript.pyannote[328].start |
866.96721875 |
transcript.pyannote[328].end |
867.03471875 |
transcript.pyannote[329].speaker |
SPEAKER_01 |
transcript.pyannote[329].start |
867.03471875 |
transcript.pyannote[329].end |
867.10221875 |
transcript.pyannote[330].speaker |
SPEAKER_02 |
transcript.pyannote[330].start |
867.10221875 |
transcript.pyannote[330].end |
867.15284375 |
transcript.pyannote[331].speaker |
SPEAKER_01 |
transcript.pyannote[331].start |
867.15284375 |
transcript.pyannote[331].end |
867.16971875 |
transcript.pyannote[332].speaker |
SPEAKER_02 |
transcript.pyannote[332].start |
867.16971875 |
transcript.pyannote[332].end |
867.20346875 |
transcript.pyannote[333].speaker |
SPEAKER_01 |
transcript.pyannote[333].start |
867.20346875 |
transcript.pyannote[333].end |
870.84846875 |
transcript.pyannote[334].speaker |
SPEAKER_02 |
transcript.pyannote[334].start |
872.35034375 |
transcript.pyannote[334].end |
881.49659375 |
transcript.pyannote[335].speaker |
SPEAKER_01 |
transcript.pyannote[335].start |
883.94346875 |
transcript.pyannote[335].end |
884.14596875 |
transcript.pyannote[336].speaker |
SPEAKER_02 |
transcript.pyannote[336].start |
886.25534375 |
transcript.pyannote[336].end |
889.71471875 |
transcript.pyannote[337].speaker |
SPEAKER_00 |
transcript.pyannote[337].start |
890.65971875 |
transcript.pyannote[337].end |
891.70596875 |
transcript.whisperx[0].start |
0.049 |
transcript.whisperx[0].end |
22.11 |
transcript.whisperx[0].text |
主席有請金管會的彭主委彭主委委員早早啊你早啊我想美國人都很關心啊昨天明明美國是降息的一般來講降息股市是正面翻硬了結果它暴跌了一千多點喔那 |
transcript.whisperx[1].start |
23.251 |
transcript.whisperx[1].end |
39.685 |
transcript.whisperx[1].text |
你能不能以你的專業跟你的資訊我想比較多你能不能告訴我們主要的原因到底是什麼一個原因就好不會講很多一個主要是什麼就我剛才有提到當然這個股市是很敏感就是說 |
transcript.whisperx[2].start |
40.706 |
transcript.whisperx[2].end |
64.274 |
transcript.whisperx[2].text |
本來預期我們的降息速度會快一點但是呢這樣那個降息大家預期會放緩那我是看到這樣當然有很多原因比如說包括未來川普政策的不確定性剛剛還有委員講的年底的這些作帳畢竟聖誕節很多的問題都是很複雜的你講聖誕節難道這些投資人都放下去了嗎就是他們很多像比如說我們到年底的時候他們就會開始 |
transcript.whisperx[3].start |
65.234 |
transcript.whisperx[3].end |
67.097 |
transcript.whisperx[3].text |
市場預期就是一碼 |
transcript.whisperx[4].start |
82.655 |
transcript.whisperx[4].end |
89.323 |
transcript.whisperx[4].text |
跟市場預期沒有什麼不一樣就是一碼但是大家會看到明年有人提一個東西叫點陣圖知道嗎點陣圖裡面從點陣圖看出來說未來如果按照這樣來講未來 |
transcript.whisperx[5].start |
98.835 |
transcript.whisperx[5].end |
116.492 |
transcript.whisperx[5].text |
應該是要降四碼結果變成只降兩碼這個你同意不同意?當然是很多種說法啦我可以說有一種說法就是本來預期就是說應該會很快一點但是未來到明年大概也是會比較放緩尤其未來像我們上次在針對比如說美國未來的政策在報告的時候也有說 |
transcript.whisperx[6].start |
117.273 |
transcript.whisperx[6].end |
139.591 |
transcript.whisperx[6].text |
其實雖然這樣預期但是未來以他很多政策說按照媒體這樣講的話比如關稅拉高通膨增加這時候你說要這樣其實就可能是有點困難就是說很多的原因混雜在一起CPI阿美國的通膨其實是嚴重的啦到現在為止尤其加上大家看到川普未來加關稅嘛川普講過一句話嘛 |
transcript.whisperx[7].start |
140.111 |
transcript.whisperx[7].end |
140.851 |
transcript.whisperx[7].text |
有關金融監督管理委員會主管中華民國11年度中央政府總預算案 |
transcript.whisperx[8].start |
171.131 |
transcript.whisperx[8].end |
198.498 |
transcript.whisperx[8].text |
這你同意吧當然這也是一種說法很多種說法當然我想華爾街本來就是是一個有買有賣反正這個是一個市場我想我們華爾街挺川普是對的嗎當然外界是說因為因為未來川普會鬆綁金融業的一些的所以大家預期說還有對很多的產業所以等於是等於是大家來看的話就美股川普上台之後應該是 |
transcript.whisperx[9].start |
200.038 |
transcript.whisperx[9].end |
201.099 |
transcript.whisperx[9].text |
掌勢可期 |
transcript.whisperx[10].start |
218.004 |
transcript.whisperx[10].end |
241.32 |
transcript.whisperx[10].text |
加密貨幣跑這個也是原因之一我想因為如果從整個交易量來看的話整個資本市場來看的話現在交易量當然還是一個相對比較低還是個位數當然以他的速度來看確實引人矚目比如說現在往那個虛擬資產方向移動的速度確實是因為他基期比較低但是從個整體來看他還是一個比較低的水位 |
transcript.whisperx[11].start |
242 |
transcript.whisperx[11].end |
259.912 |
transcript.whisperx[11].text |
而且它越來越多的開始商品慢慢用加密貨幣囉對吧我們也有觀察到這樣的一個發展好我們來看喔這個跟沒有關係喔現在有幣多啊債權很搶手這個這裡面來講就等於說用USDT啊 |
transcript.whisperx[12].start |
268.995 |
transcript.whisperx[12].end |
276.72 |
transcript.whisperx[12].text |
太達幣基本上就是等於1比1對美元是1比1差不多結果譬如是說用太達幣給他然後比如說他約定這個一個月內或者是90天他給你4.5%或者是這個120天給你5.5%甚至於更高 |
transcript.whisperx[13].start |
297.589 |
transcript.whisperx[13].end |
325.825 |
transcript.whisperx[13].text |
這個你們管不管啊這個是所謂的DeFi的部分必然他如果說是一個在虛擬世界可以交易的對象自然有人欠有人要還就是就像我們比如股票有借券跟借那個就是那個那個概念是一樣因為所以說呢沒有問題這管不管啊現在的話我們的交易你們管不管請問我們現在在交易你是我們現在說按照我們的那個VASB的部分我們這DeFi的部分我們現在有 |
transcript.whisperx[14].start |
326.505 |
transcript.whisperx[14].end |
332.427 |
transcript.whisperx[14].text |
不要跟我講那個是防那個是防洗錢的跟這個關係不大現在來講的話因為他推出的我表沒有秀出來這大家google一下看得到嗎他這裡面都他是保本穩賺就是你只要把錢給他比如說45天或者是50天60天他就給你4.5%喔 這樣好慘捏保本穩賺這個東西 |
transcript.whisperx[15].start |
357.226 |
transcript.whisperx[15].end |
379.555 |
transcript.whisperx[15].text |
現在的話就是說跟我們報告就是我們現在確實我們台灣現在已經跟他講跟Vespa有關是因為現在我們真的有這樣的一個比如說交易平台也有這些轉換商這些我們這些我們所謂的虛擬資產服務業者現在正在經營我們就算我們還是可以在買賣這些幣有買賣以後呢他就衍生出很多的比如說他的衍生出的一些金融行為像借貸 |
transcript.whisperx[16].start |
380.795 |
transcript.whisperx[16].end |
405.372 |
transcript.whisperx[16].text |
這個就是其中的一個那就是批土批啊也不是批土就等於說在那個某種程度是這個意思啊怎麼不是呢請問他到底你們管不管這個到底管不管現在我們的交易的部分我們現在是你看到這個現象沒有這個是很普遍在那個對然後你不管我們現在是因為他整個交易我們是有納管的 |
transcript.whisperx[17].start |
407.864 |
transcript.whisperx[17].end |
412.07 |
transcript.whisperx[17].text |
有關金融監督管理委員會主管中央政府總預算案有關金融監督管理委員會主管中央政府總預算案 |
transcript.whisperx[18].start |
427.954 |
transcript.whisperx[18].end |
446.67 |
transcript.whisperx[18].text |
這個穩賺不賠的利率耶雖然短時間不高4.5有的高一點點5.5還要更高的啊這個東西很危險的這個東西他就跟供需有關我跟委員報告就是我們現在明年6月我們在我們現在正在嚴定這個虛擬財產管理專法的部分我們就會把define的部分呢會把它規範進去 |
transcript.whisperx[19].start |
448.462 |
transcript.whisperx[19].end |
475.515 |
transcript.whisperx[19].text |
所以你們要管這個是未來一定是變成是一定是必然我們看國際的趨勢就是說他會衍生出來一些交易那你管的方式就是讓他基本上他是合法的是不是我們通常合法的前提就是你要合規啊就是前面有一些規矩他合不合規請問他合不合規有些規矩啊我們要定出來才合規那如果合規的話第三方支付比如說這某一個平台 |
transcript.whisperx[20].start |
477.233 |
transcript.whisperx[20].end |
496.791 |
transcript.whisperx[20].text |
我買東西我放一萬塊在哪裡我用了兩千買東西剩八千八千他拿去投資他給我固定的利率4%可以嗎這個你說不行啦第三萬支付過去你就說不行這個就逼逼託你就可以了這奇怪的咧 |
transcript.whisperx[21].start |
498.752 |
transcript.whisperx[21].end |
526.058 |
transcript.whisperx[21].text |
我沒有說可以我只是說我們未來的專法的時候因為這個是全世界在演化中的東西我們在專法的時候我們會把未來的像比如說這所有的虛擬資產的相關的那個課題考慮進來我想這部分什麼時候可以出來啦這個專法什麼時候出來我們現在草案正在討論中什麼時候出來我們預期是1月的時候會開始公聽然後6月的時候我們會送進行政院6月送進行政院關於關於什麼 |
transcript.whisperx[22].start |
526.879 |
transcript.whisperx[22].end |
531.372 |
transcript.whisperx[22].text |
關於所謂的虛擬資產服務以及那個投資人保護的專法 |
transcript.whisperx[23].start |
533.74 |
transcript.whisperx[23].end |
559.973 |
transcript.whisperx[23].text |
虛擬資產的交易吧有沒有交易當然交易是其中一部分交易還有它的機構管理機構管理消費者保護消費者保護應該是交易人保護這個1月份開始公定會6月份送到行政院我們的就等於說那你希望行政院什麼時候可以出來這我沒辦法希望我當然希望假設我們送過去的話還有社會的共識第三方支付勒還是不行 |
transcript.whisperx[24].start |
561.414 |
transcript.whisperx[24].end |
576.994 |
transcript.whisperx[24].text |
因為現在第三方支付是速發部在主管的業務啊所以你不管不是不管就是我們管的是我們自己的彭主委你要注意喔全台灣人民不管什麼第三方支付不管這個圓的邊的大家只要看到錢啊錢啊 |
transcript.whisperx[25].start |
578.476 |
transcript.whisperx[25].end |
584.261 |
transcript.whisperx[25].text |
在交易啊 大家認為你要管喔這也是我們要特別說明你要管啊 錢 只要錢 你想啥 你要管啊這裡要特別說明了 不是所有錢都是歸金管會我是告訴你 老百姓都認為來來來 第三個我們看一個 你們最近公佈一個東西好奇怪喔全台灣人的人均存款欸 |
transcript.whisperx[26].start |
601.432 |
transcript.whisperx[26].end |
603.033 |
transcript.whisperx[26].text |
臺北市存款925萬台北市的一個人 |
transcript.whisperx[27].start |
613.737 |
transcript.whisperx[27].end |
615.898 |
transcript.whisperx[27].text |
如果夫妻兩個人就1800然後第二名是新竹市518萬第三名是嘉義市249萬然後第四名在台中市213萬 |
transcript.whisperx[28].start |
632.256 |
transcript.whisperx[28].end |
648.282 |
transcript.whisperx[28].text |
這宿舍到底是怎麼統計的有沒有包括外幣存款臺北市這個如果大家聽的話大家很挫折了我不知道這一座各位你們臺北市的人存款一個人喔如果你家裡四個人的話你就要3600萬喔你就要快4000萬喔喔 這個東西這你統計是你統計嗎 今晚會統計嗎 |
transcript.whisperx[29].start |
659.925 |
transcript.whisperx[29].end |
672.752 |
transcript.whisperx[29].text |
委員提到就是說我們下次如果有類似的數字我們可以公佈各式各樣的數據那這樣會比較容易不用導致這樣的一個比如說解讀上面的困擾不是 我就問你有沒有包括外幣存款 有沒有 |
transcript.whisperx[30].start |
673.9 |
transcript.whisperx[30].end |
688.989 |
transcript.whisperx[30].text |
這我要回去瞭解一下啊你不要去按哪一位現在可以馬上瞭解嗎那我們知道一下我們瞭解完馬上跟委員報告你們為什麼不用中位數呢我們就跟郭泰民平均去跟張作某平均這個沒有道理啊 |
transcript.whisperx[31].start |
690.305 |
transcript.whisperx[31].end |
693.506 |
transcript.whisperx[31].text |
對不對我跟張忠偉平均一個人900多萬臺北市請問各位大家在看這個直播臺北市民平均一個人的存款現金存款喔現金喔925萬喔我不知道我們主席議員有沒有這麼多喔925萬喔一個人喔 |
transcript.whisperx[32].start |
715.173 |
transcript.whisperx[32].end |
721.497 |
transcript.whisperx[32].text |
一個人平均在銀行裡面喔銀行局要不要講一下這書是怎麼來的啊你們公佈的欸我不知道為什麼不用中位數啊來講一下為什麼不用中位數啊 |
transcript.whisperx[33].start |
731.718 |
transcript.whisperx[33].end |
753.961 |
transcript.whisperx[33].text |
沒有沒有我想我們查證一下啦今天就是假設說未來假設真的是我們在出示這些數據的時候確實有不同的參數有不同的含義啦我想這部分我們假設我覺得應該是莊惠素啦因為台北市大老闆太多了啦郭台銘一年的股不只或是張忠謀他們大老闆每年的股利都幾十億元平均 |
transcript.whisperx[34].start |
755.422 |
transcript.whisperx[34].end |
756.583 |
transcript.whisperx[34].text |
因為談到網營啊也是你們想想的政績之一啊 |
transcript.whisperx[35].start |
777.932 |
transcript.whisperx[35].end |
805.401 |
transcript.whisperx[35].text |
每一次最高五萬每天最高十萬每月最高二十萬可是你們有一個辦法喔這個辦法就是根據安控基準第八條第二款第四目第四小目跟第五小目說一定的話可以把二十萬提高但是但是銀行都告訴因為這是有人來跟我告狀的 |
transcript.whisperx[36].start |
806.957 |
transcript.whisperx[36].end |
809.778 |
transcript.whisperx[36].text |
報告委員沒有這個時間上面的限制如果要提高的話是認證的方式要提高平均多久時間 |
transcript.whisperx[37].start |
837.569 |
transcript.whisperx[37].end |
854.864 |
transcript.whisperx[37].text |
這個應該 如果你約定了之後因為現在有一些防詐的議題所以大概是兩天啦兩天喔對 兩天才能申請來跟我高中的客戶說他要提高為25萬對方告訴他我不要講那些銀行的我都可以跟你講銀行的不要講啦他說要一年 |
transcript.whisperx[38].start |
858.647 |
transcript.whisperx[38].end |
860.268 |
transcript.whisperx[38].text |
我比較在意那個臺北市居然一個人平均有900多萬阿土西兩個人1800 怕死啦 這裡面可能只有賴慧營有 |
transcript.whisperx[39].start |
886.892 |
transcript.whisperx[39].end |
887.454 |
transcript.whisperx[39].text |
賴委員、賴委員還有賴總統謝謝 |
IVOD_ID |
158236 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/158236 |
日期 |
2024-12-19 |
會議資料.會議代碼 |
委員會-11-2-20-11 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
11 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
20 |
會議資料.標題 |
第11屆第2會期財政委員會第11次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-12-19T09:31:52+08:00 |
結束時間 |
2024-12-19T09:46:44+08:00 |
支援功能[0] |
ai-transcript |