IVOD_ID |
159115 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159115 |
日期 |
2025-03-13 |
會議資料.會議代碼 |
委員會-11-3-20-2 |
會議資料.會議代碼:str |
第11屆第3會期財政委員會第2次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
2 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
20 |
會議資料.委員會代碼:str[0] |
財政委員會 |
會議資料.標題 |
第11屆第3會期財政委員會第2次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-03-13T11:14:08+08:00 |
結束時間 |
2025-03-13T11:25:08+08:00 |
影片長度 |
00:11:00 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3b972b8f6f00770f2c23c282c4e55ab4e83d902c8d6dd6c2ff1cdb1affc83ff4a515b23fefa1fd695ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
黃珊珊 |
委員發言時間 |
11:14:08 - 11:25:08 |
會議時間 |
2025-03-13T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期財政委員會第2次全體委員會議(事由:邀請中央銀行楊總裁金龍率所屬單位主管暨財金資訊股份有限公司董事長列席業務報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
3.08534375 |
transcript.pyannote[0].end |
5.07659375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
6.13971875 |
transcript.pyannote[1].end |
6.47721875 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
7.52346875 |
transcript.pyannote[2].end |
7.74284375 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
7.74284375 |
transcript.pyannote[3].end |
8.16471875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
8.16471875 |
transcript.pyannote[4].end |
8.18159375 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
16.23096875 |
transcript.pyannote[5].end |
16.56846875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
16.31534375 |
transcript.pyannote[6].end |
16.97346875 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
16.97346875 |
transcript.pyannote[7].end |
17.05784375 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
17.15909375 |
transcript.pyannote[8].end |
29.20784375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
22.60971875 |
transcript.pyannote[9].end |
23.06534375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
23.06534375 |
transcript.pyannote[10].end |
23.08221875 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
29.41034375 |
transcript.pyannote[11].end |
34.10159375 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
34.67534375 |
transcript.pyannote[12].end |
38.50596875 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
39.68721875 |
transcript.pyannote[13].end |
42.21846875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
42.21846875 |
transcript.pyannote[14].end |
42.23534375 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
42.55596875 |
transcript.pyannote[15].end |
44.26034375 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
44.69909375 |
transcript.pyannote[16].end |
50.67284375 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
51.16221875 |
transcript.pyannote[17].end |
53.84534375 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
53.99721875 |
transcript.pyannote[18].end |
65.89409375 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
65.97846875 |
transcript.pyannote[19].end |
67.69971875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
68.30721875 |
transcript.pyannote[20].end |
75.27659375 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
69.01596875 |
transcript.pyannote[21].end |
69.31971875 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
73.57221875 |
transcript.pyannote[22].end |
73.77471875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
75.46221875 |
transcript.pyannote[23].end |
117.02534375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
87.25784375 |
transcript.pyannote[24].end |
88.23659375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
89.41784375 |
transcript.pyannote[25].end |
89.48534375 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
89.48534375 |
transcript.pyannote[26].end |
91.02096875 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
93.31596875 |
transcript.pyannote[27].end |
94.93596875 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
101.36534375 |
transcript.pyannote[28].end |
102.20909375 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
105.75284375 |
transcript.pyannote[29].end |
106.36034375 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
115.42221875 |
transcript.pyannote[30].end |
126.88034375 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
125.88471875 |
transcript.pyannote[31].end |
127.06596875 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
127.06596875 |
transcript.pyannote[32].end |
139.90784375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
127.08284375 |
transcript.pyannote[33].end |
127.90971875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
128.56784375 |
transcript.pyannote[34].end |
129.12471875 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
129.14159375 |
transcript.pyannote[35].end |
129.17534375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
135.19971875 |
transcript.pyannote[36].end |
135.82409375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
135.82409375 |
transcript.pyannote[37].end |
135.92534375 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
140.27909375 |
transcript.pyannote[38].end |
140.29596875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
140.29596875 |
transcript.pyannote[39].end |
148.32846875 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
143.45159375 |
transcript.pyannote[40].end |
143.92409375 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
147.92346875 |
transcript.pyannote[41].end |
148.34534375 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
148.34534375 |
transcript.pyannote[42].end |
149.02034375 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
149.02034375 |
transcript.pyannote[43].end |
171.44721875 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
149.03721875 |
transcript.pyannote[44].end |
149.79659375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
151.36596875 |
transcript.pyannote[45].end |
152.09159375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
154.79159375 |
transcript.pyannote[46].end |
155.24721875 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
162.09846875 |
transcript.pyannote[47].end |
164.54534375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
165.50721875 |
transcript.pyannote[48].end |
165.79409375 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
172.13909375 |
transcript.pyannote[49].end |
174.43409375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
175.46346875 |
transcript.pyannote[50].end |
194.93721875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
179.17596875 |
transcript.pyannote[51].end |
179.44596875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
184.39034375 |
transcript.pyannote[52].end |
184.91346875 |
transcript.pyannote[53].speaker |
SPEAKER_02 |
transcript.pyannote[53].start |
194.27909375 |
transcript.pyannote[53].end |
194.90346875 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
194.93721875 |
transcript.pyannote[54].end |
196.03409375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
196.03409375 |
transcript.pyannote[55].end |
196.10159375 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
196.10159375 |
transcript.pyannote[56].end |
196.20284375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
196.20284375 |
transcript.pyannote[57].end |
199.71284375 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
197.67096875 |
transcript.pyannote[58].end |
198.29534375 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
199.35846875 |
transcript.pyannote[59].end |
218.14034375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
200.33721875 |
transcript.pyannote[60].end |
200.97846875 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
205.24784375 |
transcript.pyannote[61].end |
205.48409375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
213.16221875 |
transcript.pyannote[62].end |
213.21284375 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
218.57909375 |
transcript.pyannote[63].end |
219.03471875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
219.03471875 |
transcript.pyannote[64].end |
238.47471875 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
222.61221875 |
transcript.pyannote[65].end |
224.02971875 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
234.32346875 |
transcript.pyannote[66].end |
237.58034375 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
238.62659375 |
transcript.pyannote[67].end |
271.70159375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
251.97471875 |
transcript.pyannote[68].end |
252.76784375 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
253.20659375 |
transcript.pyannote[69].end |
253.25721875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
264.27659375 |
transcript.pyannote[70].end |
264.63096875 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
272.42721875 |
transcript.pyannote[71].end |
275.22846875 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
275.93721875 |
transcript.pyannote[72].end |
276.78096875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
277.50659375 |
transcript.pyannote[73].end |
280.27409375 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
280.15596875 |
transcript.pyannote[74].end |
282.29909375 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
282.46784375 |
transcript.pyannote[75].end |
291.78284375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
286.39971875 |
transcript.pyannote[76].end |
286.83846875 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
292.39034375 |
transcript.pyannote[77].end |
297.03096875 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
297.03096875 |
transcript.pyannote[78].end |
297.04784375 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
297.04784375 |
transcript.pyannote[79].end |
297.46971875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
297.46971875 |
transcript.pyannote[80].end |
297.48659375 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
297.48659375 |
transcript.pyannote[81].end |
297.67221875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
297.67221875 |
transcript.pyannote[82].end |
304.96221875 |
transcript.pyannote[83].speaker |
SPEAKER_02 |
transcript.pyannote[83].start |
304.96221875 |
transcript.pyannote[83].end |
320.33534375 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
308.03346875 |
transcript.pyannote[84].end |
308.50596875 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
320.33534375 |
transcript.pyannote[85].end |
320.72346875 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
320.48721875 |
transcript.pyannote[86].end |
326.03909375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
326.03909375 |
transcript.pyannote[87].end |
334.40909375 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
334.61159375 |
transcript.pyannote[88].end |
337.48034375 |
transcript.pyannote[89].speaker |
SPEAKER_02 |
transcript.pyannote[89].start |
336.68721875 |
transcript.pyannote[89].end |
383.49846875 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
342.20534375 |
transcript.pyannote[90].end |
342.28971875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
352.58346875 |
transcript.pyannote[91].end |
352.61721875 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
352.61721875 |
transcript.pyannote[92].end |
352.73534375 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
352.81971875 |
transcript.pyannote[93].end |
352.97159375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
354.76034375 |
transcript.pyannote[94].end |
354.96284375 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
360.02534375 |
transcript.pyannote[95].end |
360.39659375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
368.66534375 |
transcript.pyannote[96].end |
369.08721875 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
383.49846875 |
transcript.pyannote[97].end |
383.90346875 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
383.90346875 |
transcript.pyannote[98].end |
400.03596875 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
388.83096875 |
transcript.pyannote[99].end |
388.84784375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
389.15159375 |
transcript.pyannote[100].end |
389.18534375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
389.18534375 |
transcript.pyannote[101].end |
389.20221875 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
400.06971875 |
transcript.pyannote[102].end |
400.08659375 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
400.08659375 |
transcript.pyannote[103].end |
400.55909375 |
transcript.pyannote[104].speaker |
SPEAKER_02 |
transcript.pyannote[104].start |
400.55909375 |
transcript.pyannote[104].end |
400.57596875 |
transcript.pyannote[105].speaker |
SPEAKER_02 |
transcript.pyannote[105].start |
400.67721875 |
transcript.pyannote[105].end |
406.21221875 |
transcript.pyannote[106].speaker |
SPEAKER_02 |
transcript.pyannote[106].start |
406.95471875 |
transcript.pyannote[106].end |
422.58096875 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
422.66534375 |
transcript.pyannote[107].end |
423.15471875 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
423.57659375 |
transcript.pyannote[108].end |
425.26409375 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
425.66909375 |
transcript.pyannote[109].end |
432.43596875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
432.53721875 |
transcript.pyannote[110].end |
437.92034375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
438.56159375 |
transcript.pyannote[111].end |
439.30409375 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
439.50659375 |
transcript.pyannote[112].end |
444.46784375 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
443.80971875 |
transcript.pyannote[113].end |
444.50159375 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
444.50159375 |
transcript.pyannote[114].end |
452.71971875 |
transcript.pyannote[115].speaker |
SPEAKER_02 |
transcript.pyannote[115].start |
444.70409375 |
transcript.pyannote[115].end |
447.18471875 |
transcript.pyannote[116].speaker |
SPEAKER_02 |
transcript.pyannote[116].start |
448.04534375 |
transcript.pyannote[116].end |
448.61909375 |
transcript.pyannote[117].speaker |
SPEAKER_02 |
transcript.pyannote[117].start |
450.35721875 |
transcript.pyannote[117].end |
466.43909375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
456.09471875 |
transcript.pyannote[118].end |
456.34784375 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
456.39846875 |
transcript.pyannote[119].end |
456.41534375 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
456.44909375 |
transcript.pyannote[120].end |
456.49971875 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
456.49971875 |
transcript.pyannote[121].end |
456.51659375 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
457.63034375 |
transcript.pyannote[122].end |
457.98471875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
457.98471875 |
transcript.pyannote[123].end |
458.05221875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
466.43909375 |
transcript.pyannote[124].end |
466.69221875 |
transcript.pyannote[125].speaker |
SPEAKER_02 |
transcript.pyannote[125].start |
466.69221875 |
transcript.pyannote[125].end |
474.84284375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
466.70909375 |
transcript.pyannote[126].end |
466.72596875 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
475.26471875 |
transcript.pyannote[127].end |
477.07034375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
477.17159375 |
transcript.pyannote[128].end |
477.52596875 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
478.63971875 |
transcript.pyannote[129].end |
485.81159375 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
483.65159375 |
transcript.pyannote[130].end |
484.47846875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
485.81159375 |
transcript.pyannote[131].end |
485.96346875 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
485.96346875 |
transcript.pyannote[132].end |
489.08534375 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
489.08534375 |
transcript.pyannote[133].end |
489.11909375 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
489.11909375 |
transcript.pyannote[134].end |
498.75471875 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
498.75471875 |
transcript.pyannote[135].end |
499.02471875 |
transcript.pyannote[136].speaker |
SPEAKER_02 |
transcript.pyannote[136].start |
498.97409375 |
transcript.pyannote[136].end |
502.02846875 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
502.02846875 |
transcript.pyannote[137].end |
509.75721875 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
508.28909375 |
transcript.pyannote[138].end |
509.82471875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
509.82471875 |
transcript.pyannote[139].end |
510.55034375 |
transcript.pyannote[140].speaker |
SPEAKER_02 |
transcript.pyannote[140].start |
510.55034375 |
transcript.pyannote[140].end |
526.51409375 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
520.08471875 |
transcript.pyannote[141].end |
520.42221875 |
transcript.pyannote[142].speaker |
SPEAKER_02 |
transcript.pyannote[142].start |
526.85159375 |
transcript.pyannote[142].end |
529.09596875 |
transcript.pyannote[143].speaker |
SPEAKER_02 |
transcript.pyannote[143].start |
529.82159375 |
transcript.pyannote[143].end |
531.62721875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
531.62721875 |
transcript.pyannote[144].end |
532.25159375 |
transcript.pyannote[145].speaker |
SPEAKER_02 |
transcript.pyannote[145].start |
532.25159375 |
transcript.pyannote[145].end |
534.42846875 |
transcript.pyannote[146].speaker |
SPEAKER_02 |
transcript.pyannote[146].start |
534.76596875 |
transcript.pyannote[146].end |
543.49034375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
543.45659375 |
transcript.pyannote[147].end |
544.68846875 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
543.87846875 |
transcript.pyannote[148].end |
554.37471875 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
555.03284375 |
transcript.pyannote[149].end |
555.50534375 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
555.50534375 |
transcript.pyannote[150].end |
567.97596875 |
transcript.pyannote[151].speaker |
SPEAKER_02 |
transcript.pyannote[151].start |
563.84159375 |
transcript.pyannote[151].end |
566.17034375 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
567.97596875 |
transcript.pyannote[152].end |
575.73846875 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
570.72659375 |
transcript.pyannote[153].end |
570.82784375 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
571.13159375 |
transcript.pyannote[154].end |
571.36784375 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
573.05534375 |
transcript.pyannote[155].end |
576.83534375 |
transcript.pyannote[156].speaker |
SPEAKER_02 |
transcript.pyannote[156].start |
576.59909375 |
transcript.pyannote[156].end |
579.80534375 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
580.75034375 |
transcript.pyannote[157].end |
580.90221875 |
transcript.pyannote[158].speaker |
SPEAKER_02 |
transcript.pyannote[158].start |
584.27721875 |
transcript.pyannote[158].end |
584.63159375 |
transcript.pyannote[159].speaker |
SPEAKER_02 |
transcript.pyannote[159].start |
585.00284375 |
transcript.pyannote[159].end |
586.11659375 |
transcript.pyannote[160].speaker |
SPEAKER_02 |
transcript.pyannote[160].start |
586.65659375 |
transcript.pyannote[160].end |
589.91346875 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
590.55471875 |
transcript.pyannote[161].end |
595.38096875 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
596.00534375 |
transcript.pyannote[162].end |
600.76409375 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
601.20284375 |
transcript.pyannote[163].end |
604.07159375 |
transcript.pyannote[164].speaker |
SPEAKER_02 |
transcript.pyannote[164].start |
603.91971875 |
transcript.pyannote[164].end |
618.63471875 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
608.22284375 |
transcript.pyannote[165].end |
608.54346875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
618.76971875 |
transcript.pyannote[166].end |
619.57971875 |
transcript.pyannote[167].speaker |
SPEAKER_02 |
transcript.pyannote[167].start |
619.51221875 |
transcript.pyannote[167].end |
619.54596875 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
619.57971875 |
transcript.pyannote[168].end |
620.13659375 |
transcript.pyannote[169].speaker |
SPEAKER_02 |
transcript.pyannote[169].start |
620.38971875 |
transcript.pyannote[169].end |
623.84909375 |
transcript.pyannote[170].speaker |
SPEAKER_02 |
transcript.pyannote[170].start |
624.18659375 |
transcript.pyannote[170].end |
624.76034375 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
625.23284375 |
transcript.pyannote[171].end |
633.53534375 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
632.25284375 |
transcript.pyannote[172].end |
641.78721875 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
635.76284375 |
transcript.pyannote[173].end |
636.16784375 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
641.78721875 |
transcript.pyannote[174].end |
650.30909375 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
641.98971875 |
transcript.pyannote[175].end |
642.85034375 |
transcript.pyannote[176].speaker |
SPEAKER_02 |
transcript.pyannote[176].start |
648.67221875 |
transcript.pyannote[176].end |
656.87346875 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
656.87346875 |
transcript.pyannote[177].end |
656.94096875 |
transcript.pyannote[178].speaker |
SPEAKER_02 |
transcript.pyannote[178].start |
656.90721875 |
transcript.pyannote[178].end |
658.96596875 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
656.99159375 |
transcript.pyannote[179].end |
657.22784375 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
659.20221875 |
transcript.pyannote[180].end |
660.97409375 |
transcript.whisperx[0].start |
3.146 |
transcript.whisperx[0].end |
4.791 |
transcript.whisperx[0].text |
現在主席有請總裁楊總裁請 |
transcript.whisperx[1].start |
16.52 |
transcript.whisperx[1].end |
37.999 |
transcript.whisperx[1].text |
黃委員長總幹長我想今天大家都很關心就看到央行的報告非常的完整但是接下來台灣面對的可能很多新的挑戰那主要是昨天總預算案覆議沒有完成所以電價包括撥補的錢可能沒有辦法到位台電 |
transcript.whisperx[2].start |
39.887 |
transcript.whisperx[2].end |
67.303 |
transcript.whisperx[2].text |
3月28號要開電價審議委員會總裁去年此時因為當時3月21號央行禮監事會預計電價可能會調漲所以形成高通膨的預期所以提高了半碼那這一次下個禮拜央行又要開禮監事會了那你認為電價會在你的禮監事會有可能有做所謂升息的打算嗎 |
transcript.whisperx[3].start |
70.166 |
transcript.whisperx[3].end |
89.319 |
transcript.whisperx[3].text |
升息是由我們的理事來決定的那基本上我們去年12月的時候我們是估測說我們的通膨就是說是CPI是1.89還不到2所以有沒有可能在電價調漲之後會超過2 |
transcript.whisperx[4].start |
97.585 |
transcript.whisperx[4].end |
102.289 |
transcript.whisperx[4].text |
所以通膨可能會比我們預期的高不過我總覺得就那個來講的話我們的通膨是慢慢再下來的 |
transcript.whisperx[5].start |
115.78 |
transcript.whisperx[5].end |
138.235 |
transcript.whisperx[5].text |
因為前一陣子因為疫情的關係因為有物料的關係因為其他的相關戰爭的關係所以看起來你有很大篇幅在說川普新政我想請問總裁因為全世界都不知道川普下一步會怎麼做所以其實是一個高度不確定他的新政你認為說他會舒緩通膨還是加劇通膨 |
transcript.whisperx[6].start |
141.76 |
transcript.whisperx[6].end |
168.641 |
transcript.whisperx[6].text |
就一般市場來看的話市場大部分都會認為是它會加劇通膨因為加了關稅嘛加了關稅不太可能不漲價然後美國人民的生活可能更辛苦但是它又要課高關稅讓美國人民不用繳稅這個政策實在是有點特別但是一樣如果說會加劇通膨加劇通膨的情況下台灣也會受到影響 |
transcript.whisperx[7].start |
169.341 |
transcript.whisperx[7].end |
195.495 |
transcript.whisperx[7].text |
因為我們的關稅也會被他加然後我們也可能要加他的關稅啊是嗎對我們的通膨的影響美國如果說他加關稅那事實上呢我們先我們報告也有講到就是說他現在我們比較在我們的那個第幾頁這邊我們也談到他加徵特別是對對我們的那個什麼我們的所以對我們的通膨有沒有影響 |
transcript.whisperx[8].start |
196.956 |
transcript.whisperx[8].end |
217.757 |
transcript.whisperx[8].text |
基本上我們在這邊影響不大你認為影響不大接下來就是我們的預期的經濟成長是3點多那美國看起來有很多的人說他美國川普也說他可能會經過正痛期不排除下修那請問一下我們的經濟成長率有可能受到影響而下修嗎 |
transcript.whisperx[9].start |
219.419 |
transcript.whisperx[9].end |
223.722 |
transcript.whisperx[9].text |
我們的經濟成長率以目前是3.14%國內外的機構是差不多3.04%如果說美國的經濟下修的時候,台灣的經濟也會受到影響 |
transcript.whisperx[10].start |
238.712 |
transcript.whisperx[10].end |
256.702 |
transcript.whisperx[10].text |
第二個部分就是最近最熱門的話題也是大概我將全世界的經濟市場都受到很大的影響是3月6號川普簽署了行政命令把美國政府要求他成立比特幣的成為戰略儲備這是前所未有的所以我想問一下總裁 |
transcript.whisperx[11].start |
257.682 |
transcript.whisperx[11].end |
274.289 |
transcript.whisperx[11].text |
對台灣來說對央行來說我們一直把虛擬貨幣當成一個高投資高風險的相關的所謂的商品交易現在美國這樣子的做法你認為我們要怎麼樣去看待未來對於比特幣對於虛擬貨幣央行的立場 |
transcript.whisperx[12].start |
278.554 |
transcript.whisperx[12].end |
305.58 |
transcript.whisperx[12].text |
我覺得我跟委員報告還是你還是認為它是高風險我到目前為止然後沒有辦法成為正常的運作但是對一個全世界最大的美國它把它變成戰略儲備這是一個很大很大的變革所以我們要怎麼去看待如果說就這個戰略儲備的這個定義來看的話戰略儲備就是因為它要有信心它才會儲備在那邊跟黃金一樣 |
transcript.whisperx[13].start |
307.82 |
transcript.whisperx[13].end |
325.525 |
transcript.whisperx[13].text |
對啦這個東西是虛的他幹嘛儲備表示美國已經把它定性成為一個可以讓人民或者是在戰爭的時候他可以拿來安定人心的東西我們是不是這樣想的還是我們還是把它當成你們只是投機的商品 |
transcript.whisperx[14].start |
325.905 |
transcript.whisperx[14].end |
342.517 |
transcript.whisperx[14].text |
到目前為止呢我也不是說比特幣這是投機的我們只是說它是一個價格波動非常大的當它進入了所謂美國戰略儲備之後它其實現在的價格是回跌第二個 |
transcript.whisperx[15].start |
343.157 |
transcript.whisperx[15].end |
364.574 |
transcript.whisperx[15].text |
因為放在那裡大家反而對於虛擬貨幣要有新的認識我說立場很簡單我們不可能自外於世界所以總裁這是一個未來的世界它必須要被正視接下來中金管會也會成立虛擬資產的專法在台灣的虛擬資產管理會往前走一步所以我必須要現在這個時間點請央行的總裁 |
transcript.whisperx[16].start |
368.897 |
transcript.whisperx[16].end |
371.399 |
transcript.whisperx[16].text |
在虛擬貨幣已經成為美國戰略儲備的同時我們怎麼樣去面對這個我們從來未知的世界尤其是戰略儲備將來是不是在台灣我們開放了虛擬資產交易平台以後 |
transcript.whisperx[17].start |
384.088 |
transcript.whisperx[17].end |
405.562 |
transcript.whisperx[17].text |
所有的業者他必須要做法幣的儲備一樣要做虛幣的儲備但是虛幣如果我們沒有相關的存款保不像我們有存保公司它可能將來會產生所謂的市場的混亂甚至倒閉所以虛擬的儲備可能也是我們將來必須要走的路同樣的央行這邊 |
transcript.whisperx[18].start |
407.031 |
transcript.whisperx[18].end |
413.813 |
transcript.whisperx[18].text |
可以協助或幫忙金管會要求這些未來的虛幣業者他們除了儲蓄實體的貨幣之外也必須儲備所謂的他們的虛幣而儲備虛幣就成為一個很重要 |
transcript.whisperx[19].start |
423.897 |
transcript.whisperx[19].end |
437.698 |
transcript.whisperx[19].text |
維持市場秩序的重要的工作就像當年很多銀行倒閉 擠兌所以成立了存保公司總裁 你認為將來台灣有沒有必要有可能要成立虛幣的存保公司 |
transcript.whisperx[20].start |
439.879 |
transcript.whisperx[20].end |
466.929 |
transcript.whisperx[20].text |
委員事實上我覺得委員的分析是沒有錯這是一定會來的只是什麼時候到我們要面對這個議題我們要面對這個議題所以我希望總裁從今天開始研議這個議題第二個虛幣要開始開放在台灣管理了他們業者已經要正式合法登記了接下去一定會發生有人倒閉了虛幣沒辦法付的時候我們怎麼辦如果 |
transcript.whisperx[21].start |
467.529 |
transcript.whisperx[21].end |
476.6 |
transcript.whisperx[21].text |
美國政府已經做了所謂的貨幣儲存戰略儲備它一定有它的市場意義跟價值台灣面對開放的市場 |
transcript.whisperx[22].start |
478.723 |
transcript.whisperx[22].end |
502.58 |
transcript.whisperx[22].text |
世界的競爭我們不可能置外於這個世界好嗎這也是可能總裁必須面對這些我們從來沒有碰過的問題是是沒有錯沒有錯而且呢我也想我希望你在一兩個月之內告訴我一下你們跟金管會有沒有針對這邊相關未來開放市場以後這些問題可能我們現在都要做好準備好好 |
transcript.whisperx[23].start |
503.881 |
transcript.whisperx[23].end |
525.715 |
transcript.whisperx[23].text |
我們目前我們是來協助他把這個專法通過了以後一定會發生倒閉的狀況下沒有辦法兌現的時候那時候的消費者權益的保護現在就必須要開始準備加上川普已經把它列為世界上面重要的儲備貨幣我覺得我們不能 |
transcript.whisperx[24].start |
529.918 |
transcript.whisperx[24].end |
554.057 |
transcript.whisperx[24].text |
小看這件事 好不好因為它比一般的貨幣更好貨幣呢 美金可以一直不斷的印美鈔不斷的印但是虛幣有它的穩定性因為它的總量是管制的 好嗎第二個 現在全世界國際清算銀行都要求各國希望大家都能夠用AI掌握經濟資訊請問這是央行現在正在做的事嗎 |
transcript.whisperx[25].start |
555.086 |
transcript.whisperx[25].end |
575.455 |
transcript.whisperx[25].text |
人工智慧人工智慧事實上就人工智慧來講我們各個產業對AI的應用事實上如火如荼的在所以我們也算是登上了我們也是中央銀行也是不會有任何的落後人工智慧你大概也跑不掉了你沒有應用的話將來就是輸給人家第三個部分時間暫停我們請財經公司 |
transcript.whisperx[26].start |
585.056 |
transcript.whisperx[26].end |
589.704 |
transcript.whisperx[26].text |
最近LiPay已經要申請電子支付了 |
transcript.whisperx[27].start |
590.934 |
transcript.whisperx[27].end |
618.272 |
transcript.whisperx[27].text |
所以接下去我們財經公司有建制共同支付的TWQR是不是LiPay這麼大的支付系統也應該趕快加入跟委員報告我們希望他加入希望他加入因為他現在正在申請走程序還有一段時間但是財經公司可以先去完成這件事情我們希望LiPay成為你們的系統之一才不會變成你們有一個又獨立的在外面好嗎 |
transcript.whisperx[28].start |
619.032 |
transcript.whisperx[28].end |
641.129 |
transcript.whisperx[28].text |
是的第二個你們現在推廣到日本跟韓國有沒有考慮去南向跟委員報告有的但是就是我們的推廣的方式就根據國人跟在出國的新南向是我們政府的重要政策新加坡都已經跟泰國印度馬來西亞印尼都已經做好簽約我們目前只有日本跟韓國 |
transcript.whisperx[29].start |
641.809 |
transcript.whisperx[29].end |
659.321 |
transcript.whisperx[29].text |
你跟南向什麼時候要推啊跟委員報告我們現在也正跟新加坡在磋商當中我們希望今年會有一個結果把你的工作跟時程告訴我們因為國人喜歡去東北亞但是也很喜歡去東南亞是的好嗎好 謝謝總裁好 謝謝 |