IVOD_ID |
162275 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/162275 |
日期 |
2025-06-05 |
會議資料.會議代碼 |
委員會-11-3-20-15 |
會議資料.會議代碼:str |
第11屆第3會期財政委員會第15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 |
15 |
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15次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-06-05T10:33:57+08:00 |
結束時間 |
2025-06-05T10:43:39+08:00 |
影片長度 |
00:09:42 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3f41131fcd5ae564d490a426e4b35a41bbacbcf4f939c22ce7f061fc5ac7c7dc19d60a91c10e9f3c5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
賴士葆 |
委員發言時間 |
10:33:57 - 10:43:39 |
會議時間 |
2025-06-05T10:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期財政委員會第15次全體委員會議(事由:邀請審計部陳審計長瑞敏、衛生福利部就「最近疫情再起,有關衛生福利部過去所準備的快篩試劑、疫苗、各式藥品及相關醫療機構因應措施」進行專題報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
1.11096875 |
transcript.pyannote[0].end |
2.95034375 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
3.40596875 |
transcript.pyannote[1].end |
5.19471875 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
6.00471875 |
transcript.pyannote[2].end |
11.35409375 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
11.74221875 |
transcript.pyannote[3].end |
15.45471875 |
transcript.pyannote[4].speaker |
SPEAKER_02 |
transcript.pyannote[4].start |
15.75846875 |
transcript.pyannote[4].end |
15.84284375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
15.84284375 |
transcript.pyannote[5].end |
16.06221875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
16.31534375 |
transcript.pyannote[6].end |
16.33221875 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
16.33221875 |
transcript.pyannote[7].end |
16.34909375 |
transcript.pyannote[8].speaker |
SPEAKER_04 |
transcript.pyannote[8].start |
16.34909375 |
transcript.pyannote[8].end |
16.48409375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
16.36596875 |
transcript.pyannote[9].end |
16.92284375 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
16.48409375 |
transcript.pyannote[10].end |
17.34471875 |
transcript.pyannote[11].speaker |
SPEAKER_04 |
transcript.pyannote[11].start |
16.92284375 |
transcript.pyannote[11].end |
16.95659375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
16.95659375 |
transcript.pyannote[12].end |
17.93534375 |
transcript.pyannote[13].speaker |
SPEAKER_04 |
transcript.pyannote[13].start |
17.34471875 |
transcript.pyannote[13].end |
17.44596875 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
17.44596875 |
transcript.pyannote[14].end |
17.61471875 |
transcript.pyannote[15].speaker |
SPEAKER_04 |
transcript.pyannote[15].start |
17.61471875 |
transcript.pyannote[15].end |
17.64846875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
18.07034375 |
transcript.pyannote[16].end |
22.44096875 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
24.70221875 |
transcript.pyannote[17].end |
26.91284375 |
transcript.pyannote[18].speaker |
SPEAKER_04 |
transcript.pyannote[18].start |
26.91284375 |
transcript.pyannote[18].end |
27.53721875 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
27.70596875 |
transcript.pyannote[19].end |
30.91221875 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
31.38471875 |
transcript.pyannote[20].end |
32.22846875 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
33.20721875 |
transcript.pyannote[21].end |
33.86534375 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
34.55721875 |
transcript.pyannote[22].end |
35.92409375 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
36.86909375 |
transcript.pyannote[23].end |
38.38784375 |
transcript.pyannote[24].speaker |
SPEAKER_04 |
transcript.pyannote[24].start |
38.47221875 |
transcript.pyannote[24].end |
39.78846875 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
39.87284375 |
transcript.pyannote[25].end |
40.31159375 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
40.86846875 |
transcript.pyannote[26].end |
41.84721875 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
42.96096875 |
transcript.pyannote[27].end |
44.29409375 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
44.90159375 |
transcript.pyannote[28].end |
46.67346875 |
transcript.pyannote[29].speaker |
SPEAKER_04 |
transcript.pyannote[29].start |
47.14596875 |
transcript.pyannote[29].end |
52.24221875 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
52.10721875 |
transcript.pyannote[30].end |
53.05221875 |
transcript.pyannote[31].speaker |
SPEAKER_04 |
transcript.pyannote[31].start |
53.33909375 |
transcript.pyannote[31].end |
55.46534375 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
55.34721875 |
transcript.pyannote[32].end |
57.77721875 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
57.96284375 |
transcript.pyannote[33].end |
59.43096875 |
transcript.pyannote[34].speaker |
SPEAKER_04 |
transcript.pyannote[34].start |
58.14846875 |
transcript.pyannote[34].end |
58.72221875 |
transcript.pyannote[35].speaker |
SPEAKER_04 |
transcript.pyannote[35].start |
59.36346875 |
transcript.pyannote[35].end |
59.70096875 |
transcript.pyannote[36].speaker |
SPEAKER_04 |
transcript.pyannote[36].start |
60.10596875 |
transcript.pyannote[36].end |
76.39034375 |
transcript.pyannote[37].speaker |
SPEAKER_04 |
transcript.pyannote[37].start |
76.49159375 |
transcript.pyannote[37].end |
78.82034375 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
78.70221875 |
transcript.pyannote[38].end |
78.76971875 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
78.82034375 |
transcript.pyannote[39].end |
80.03534375 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
80.47409375 |
transcript.pyannote[40].end |
81.04784375 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
81.25034375 |
transcript.pyannote[41].end |
82.46534375 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
83.49471875 |
transcript.pyannote[42].end |
84.47346875 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
85.53659375 |
transcript.pyannote[43].end |
86.29596875 |
transcript.pyannote[44].speaker |
SPEAKER_04 |
transcript.pyannote[44].start |
86.29596875 |
transcript.pyannote[44].end |
86.32971875 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
86.85284375 |
transcript.pyannote[45].end |
88.10159375 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
89.11409375 |
transcript.pyannote[46].end |
89.43471875 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
90.05909375 |
transcript.pyannote[47].end |
92.48909375 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
93.60284375 |
transcript.pyannote[48].end |
96.13409375 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
97.24784375 |
transcript.pyannote[49].end |
99.10409375 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
99.86346875 |
transcript.pyannote[50].end |
102.58034375 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
103.33971875 |
transcript.pyannote[51].end |
104.47034375 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
104.95971875 |
transcript.pyannote[52].end |
105.58409375 |
transcript.pyannote[53].speaker |
SPEAKER_02 |
transcript.pyannote[53].start |
106.56284375 |
transcript.pyannote[53].end |
107.65971875 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
108.19971875 |
transcript.pyannote[54].end |
110.10659375 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
110.44409375 |
transcript.pyannote[55].end |
111.11909375 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
112.84034375 |
transcript.pyannote[56].end |
114.05534375 |
transcript.pyannote[57].speaker |
SPEAKER_04 |
transcript.pyannote[57].start |
114.05534375 |
transcript.pyannote[57].end |
114.10596875 |
transcript.pyannote[58].speaker |
SPEAKER_04 |
transcript.pyannote[58].start |
114.66284375 |
transcript.pyannote[58].end |
115.99596875 |
transcript.pyannote[59].speaker |
SPEAKER_04 |
transcript.pyannote[59].start |
116.09721875 |
transcript.pyannote[59].end |
117.09284375 |
transcript.pyannote[60].speaker |
SPEAKER_04 |
transcript.pyannote[60].start |
117.49784375 |
transcript.pyannote[60].end |
123.10034375 |
transcript.pyannote[61].speaker |
SPEAKER_02 |
transcript.pyannote[61].start |
119.03346875 |
transcript.pyannote[61].end |
121.24409375 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
123.10034375 |
transcript.pyannote[62].end |
124.23096875 |
transcript.pyannote[63].speaker |
SPEAKER_04 |
transcript.pyannote[63].start |
123.79221875 |
transcript.pyannote[63].end |
124.70346875 |
transcript.pyannote[64].speaker |
SPEAKER_04 |
transcript.pyannote[64].start |
125.09159375 |
transcript.pyannote[64].end |
129.09096875 |
transcript.pyannote[65].speaker |
SPEAKER_04 |
transcript.pyannote[65].start |
129.47909375 |
transcript.pyannote[65].end |
129.96846875 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
129.59721875 |
transcript.pyannote[66].end |
130.17096875 |
transcript.pyannote[67].speaker |
SPEAKER_04 |
transcript.pyannote[67].start |
131.13284375 |
transcript.pyannote[67].end |
132.43221875 |
transcript.pyannote[68].speaker |
SPEAKER_04 |
transcript.pyannote[68].start |
132.66846875 |
transcript.pyannote[68].end |
140.86971875 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
139.35096875 |
transcript.pyannote[69].end |
142.91159375 |
transcript.pyannote[70].speaker |
SPEAKER_04 |
transcript.pyannote[70].start |
141.98346875 |
transcript.pyannote[70].end |
142.55721875 |
transcript.pyannote[71].speaker |
SPEAKER_04 |
transcript.pyannote[71].start |
143.11409375 |
transcript.pyannote[71].end |
146.91096875 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
143.78909375 |
transcript.pyannote[72].end |
144.14346875 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
144.71721875 |
transcript.pyannote[73].end |
147.92346875 |
transcript.pyannote[74].speaker |
SPEAKER_04 |
transcript.pyannote[74].start |
147.28221875 |
transcript.pyannote[74].end |
147.65346875 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
148.09221875 |
transcript.pyannote[75].end |
149.39159375 |
transcript.pyannote[76].speaker |
SPEAKER_04 |
transcript.pyannote[76].start |
148.81784375 |
transcript.pyannote[76].end |
156.00659375 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
156.12471875 |
transcript.pyannote[77].end |
158.36909375 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
159.09471875 |
transcript.pyannote[78].end |
159.41534375 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
159.93846875 |
transcript.pyannote[79].end |
162.67221875 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
162.99284375 |
transcript.pyannote[80].end |
163.87034375 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
164.39346875 |
transcript.pyannote[81].end |
166.28346875 |
transcript.pyannote[82].speaker |
SPEAKER_04 |
transcript.pyannote[82].start |
167.27909375 |
transcript.pyannote[82].end |
174.92346875 |
transcript.pyannote[83].speaker |
SPEAKER_04 |
transcript.pyannote[83].start |
174.97409375 |
transcript.pyannote[83].end |
192.11909375 |
transcript.pyannote[84].speaker |
SPEAKER_02 |
transcript.pyannote[84].start |
192.84471875 |
transcript.pyannote[84].end |
194.21159375 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
195.05534375 |
transcript.pyannote[85].end |
198.12659375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
199.49346875 |
transcript.pyannote[86].end |
216.70596875 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
216.82409375 |
transcript.pyannote[87].end |
225.02534375 |
transcript.pyannote[88].speaker |
SPEAKER_02 |
transcript.pyannote[88].start |
219.30471875 |
transcript.pyannote[88].end |
220.75596875 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
220.75596875 |
transcript.pyannote[89].end |
220.87409375 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
222.03846875 |
transcript.pyannote[90].end |
222.46034375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
225.24471875 |
transcript.pyannote[91].end |
234.52596875 |
transcript.pyannote[92].speaker |
SPEAKER_02 |
transcript.pyannote[92].start |
234.82971875 |
transcript.pyannote[92].end |
236.11221875 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
236.61846875 |
transcript.pyannote[93].end |
238.99784375 |
transcript.pyannote[94].speaker |
SPEAKER_02 |
transcript.pyannote[94].start |
239.28471875 |
transcript.pyannote[94].end |
239.30159375 |
transcript.pyannote[95].speaker |
SPEAKER_04 |
transcript.pyannote[95].start |
239.30159375 |
transcript.pyannote[95].end |
239.33534375 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
239.33534375 |
transcript.pyannote[96].end |
239.63909375 |
transcript.pyannote[97].speaker |
SPEAKER_04 |
transcript.pyannote[97].start |
242.35596875 |
transcript.pyannote[97].end |
253.30784375 |
transcript.pyannote[98].speaker |
SPEAKER_04 |
transcript.pyannote[98].start |
253.78034375 |
transcript.pyannote[98].end |
265.67721875 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
261.71159375 |
transcript.pyannote[99].end |
262.30221875 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
262.42034375 |
transcript.pyannote[100].end |
264.25971875 |
transcript.pyannote[101].speaker |
SPEAKER_02 |
transcript.pyannote[101].start |
266.09909375 |
transcript.pyannote[101].end |
269.05221875 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
269.35596875 |
transcript.pyannote[102].end |
270.75659375 |
transcript.pyannote[103].speaker |
SPEAKER_02 |
transcript.pyannote[103].start |
271.16159375 |
transcript.pyannote[103].end |
272.41034375 |
transcript.pyannote[104].speaker |
SPEAKER_04 |
transcript.pyannote[104].start |
272.88284375 |
transcript.pyannote[104].end |
273.06846875 |
transcript.pyannote[105].speaker |
SPEAKER_02 |
transcript.pyannote[105].start |
273.70971875 |
transcript.pyannote[105].end |
276.37596875 |
transcript.pyannote[106].speaker |
SPEAKER_02 |
transcript.pyannote[106].start |
277.13534375 |
transcript.pyannote[106].end |
278.73846875 |
transcript.pyannote[107].speaker |
SPEAKER_02 |
transcript.pyannote[107].start |
278.95784375 |
transcript.pyannote[107].end |
280.66221875 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
281.10096875 |
transcript.pyannote[108].end |
282.09659375 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
282.75471875 |
transcript.pyannote[109].end |
283.19346875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
283.54784375 |
transcript.pyannote[110].end |
284.15534375 |
transcript.pyannote[111].speaker |
SPEAKER_02 |
transcript.pyannote[111].start |
284.56034375 |
transcript.pyannote[111].end |
285.74159375 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
287.31096875 |
transcript.pyannote[112].end |
287.36159375 |
transcript.pyannote[113].speaker |
SPEAKER_04 |
transcript.pyannote[113].start |
287.36159375 |
transcript.pyannote[113].end |
288.23909375 |
transcript.pyannote[114].speaker |
SPEAKER_04 |
transcript.pyannote[114].start |
288.91409375 |
transcript.pyannote[114].end |
289.36971875 |
transcript.pyannote[115].speaker |
SPEAKER_04 |
transcript.pyannote[115].start |
289.53846875 |
transcript.pyannote[115].end |
293.75721875 |
transcript.pyannote[116].speaker |
SPEAKER_02 |
transcript.pyannote[116].start |
293.13284375 |
transcript.pyannote[116].end |
293.95971875 |
transcript.pyannote[117].speaker |
SPEAKER_04 |
transcript.pyannote[117].start |
293.95971875 |
transcript.pyannote[117].end |
297.03096875 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
293.97659375 |
transcript.pyannote[118].end |
295.47846875 |
transcript.pyannote[119].speaker |
SPEAKER_04 |
transcript.pyannote[119].start |
297.46971875 |
transcript.pyannote[119].end |
297.72284375 |
transcript.pyannote[120].speaker |
SPEAKER_04 |
transcript.pyannote[120].start |
298.04346875 |
transcript.pyannote[120].end |
302.02596875 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
301.26659375 |
transcript.pyannote[121].end |
301.45221875 |
transcript.pyannote[122].speaker |
SPEAKER_03 |
transcript.pyannote[122].start |
301.45221875 |
transcript.pyannote[122].end |
301.53659375 |
transcript.pyannote[123].speaker |
SPEAKER_03 |
transcript.pyannote[123].start |
302.02596875 |
transcript.pyannote[123].end |
302.14409375 |
transcript.pyannote[124].speaker |
SPEAKER_04 |
transcript.pyannote[124].start |
302.14409375 |
transcript.pyannote[124].end |
302.68409375 |
transcript.pyannote[125].speaker |
SPEAKER_03 |
transcript.pyannote[125].start |
302.39721875 |
transcript.pyannote[125].end |
302.56596875 |
transcript.pyannote[126].speaker |
SPEAKER_03 |
transcript.pyannote[126].start |
302.68409375 |
transcript.pyannote[126].end |
321.61784375 |
transcript.pyannote[127].speaker |
SPEAKER_03 |
transcript.pyannote[127].start |
321.93846875 |
transcript.pyannote[127].end |
343.99409375 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
341.59784375 |
transcript.pyannote[128].end |
343.26846875 |
transcript.pyannote[129].speaker |
SPEAKER_03 |
transcript.pyannote[129].start |
344.58471875 |
transcript.pyannote[129].end |
358.97909375 |
transcript.pyannote[130].speaker |
SPEAKER_02 |
transcript.pyannote[130].start |
358.97909375 |
transcript.pyannote[130].end |
360.37971875 |
transcript.pyannote[131].speaker |
SPEAKER_02 |
transcript.pyannote[131].start |
360.73409375 |
transcript.pyannote[131].end |
360.85221875 |
transcript.pyannote[132].speaker |
SPEAKER_03 |
transcript.pyannote[132].start |
361.29096875 |
transcript.pyannote[132].end |
361.45971875 |
transcript.pyannote[133].speaker |
SPEAKER_02 |
transcript.pyannote[133].start |
361.84784375 |
transcript.pyannote[133].end |
364.64909375 |
transcript.pyannote[134].speaker |
SPEAKER_03 |
transcript.pyannote[134].start |
365.98221875 |
transcript.pyannote[134].end |
365.99909375 |
transcript.pyannote[135].speaker |
SPEAKER_02 |
transcript.pyannote[135].start |
365.99909375 |
transcript.pyannote[135].end |
366.15096875 |
transcript.pyannote[136].speaker |
SPEAKER_04 |
transcript.pyannote[136].start |
366.15096875 |
transcript.pyannote[136].end |
366.50534375 |
transcript.pyannote[137].speaker |
SPEAKER_02 |
transcript.pyannote[137].start |
366.20159375 |
transcript.pyannote[137].end |
370.20096875 |
transcript.pyannote[138].speaker |
SPEAKER_04 |
transcript.pyannote[138].start |
369.27284375 |
transcript.pyannote[138].end |
369.55971875 |
transcript.pyannote[139].speaker |
SPEAKER_04 |
transcript.pyannote[139].start |
370.50471875 |
transcript.pyannote[139].end |
380.05596875 |
transcript.pyannote[140].speaker |
SPEAKER_02 |
transcript.pyannote[140].start |
370.85909375 |
transcript.pyannote[140].end |
371.16284375 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
379.00971875 |
transcript.pyannote[141].end |
379.95471875 |
transcript.pyannote[142].speaker |
SPEAKER_04 |
transcript.pyannote[142].start |
380.29221875 |
transcript.pyannote[142].end |
382.75596875 |
transcript.pyannote[143].speaker |
SPEAKER_02 |
transcript.pyannote[143].start |
380.42721875 |
transcript.pyannote[143].end |
381.57471875 |
transcript.pyannote[144].speaker |
SPEAKER_02 |
transcript.pyannote[144].start |
384.34221875 |
transcript.pyannote[144].end |
385.96221875 |
transcript.pyannote[145].speaker |
SPEAKER_03 |
transcript.pyannote[145].start |
385.25346875 |
transcript.pyannote[145].end |
387.59909375 |
transcript.pyannote[146].speaker |
SPEAKER_02 |
transcript.pyannote[146].start |
386.99159375 |
transcript.pyannote[146].end |
387.48096875 |
transcript.pyannote[147].speaker |
SPEAKER_02 |
transcript.pyannote[147].start |
387.76784375 |
transcript.pyannote[147].end |
389.57346875 |
transcript.pyannote[148].speaker |
SPEAKER_03 |
transcript.pyannote[148].start |
388.15596875 |
transcript.pyannote[148].end |
388.78034375 |
transcript.pyannote[149].speaker |
SPEAKER_03 |
transcript.pyannote[149].start |
388.91534375 |
transcript.pyannote[149].end |
397.85909375 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
393.23534375 |
transcript.pyannote[150].end |
395.47971875 |
transcript.pyannote[151].speaker |
SPEAKER_02 |
transcript.pyannote[151].start |
397.11659375 |
transcript.pyannote[151].end |
397.65659375 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
397.85909375 |
transcript.pyannote[152].end |
398.02784375 |
transcript.pyannote[153].speaker |
SPEAKER_03 |
transcript.pyannote[153].start |
398.02784375 |
transcript.pyannote[153].end |
398.14596875 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
398.14596875 |
transcript.pyannote[154].end |
398.21346875 |
transcript.pyannote[155].speaker |
SPEAKER_03 |
transcript.pyannote[155].start |
398.21346875 |
transcript.pyannote[155].end |
398.26409375 |
transcript.pyannote[156].speaker |
SPEAKER_03 |
transcript.pyannote[156].start |
398.53409375 |
transcript.pyannote[156].end |
399.83346875 |
transcript.pyannote[157].speaker |
SPEAKER_03 |
transcript.pyannote[157].start |
400.77846875 |
transcript.pyannote[157].end |
412.25346875 |
transcript.pyannote[158].speaker |
SPEAKER_02 |
transcript.pyannote[158].start |
412.13534375 |
transcript.pyannote[158].end |
412.23659375 |
transcript.pyannote[159].speaker |
SPEAKER_02 |
transcript.pyannote[159].start |
412.25346875 |
transcript.pyannote[159].end |
412.37159375 |
transcript.pyannote[160].speaker |
SPEAKER_03 |
transcript.pyannote[160].start |
412.37159375 |
transcript.pyannote[160].end |
412.43909375 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
412.43909375 |
transcript.pyannote[161].end |
412.48971875 |
transcript.pyannote[162].speaker |
SPEAKER_03 |
transcript.pyannote[162].start |
412.48971875 |
transcript.pyannote[162].end |
412.50659375 |
transcript.pyannote[163].speaker |
SPEAKER_03 |
transcript.pyannote[163].start |
413.01284375 |
transcript.pyannote[163].end |
422.04096875 |
transcript.pyannote[164].speaker |
SPEAKER_02 |
transcript.pyannote[164].start |
419.61096875 |
transcript.pyannote[164].end |
420.23534375 |
transcript.pyannote[165].speaker |
SPEAKER_02 |
transcript.pyannote[165].start |
422.04096875 |
transcript.pyannote[165].end |
430.86659375 |
transcript.pyannote[166].speaker |
SPEAKER_02 |
transcript.pyannote[166].start |
431.22096875 |
transcript.pyannote[166].end |
432.46971875 |
transcript.pyannote[167].speaker |
SPEAKER_03 |
transcript.pyannote[167].start |
432.84096875 |
transcript.pyannote[167].end |
449.02409375 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
448.02846875 |
transcript.pyannote[168].end |
448.72034375 |
transcript.pyannote[169].speaker |
SPEAKER_02 |
transcript.pyannote[169].start |
448.97346875 |
transcript.pyannote[169].end |
450.77909375 |
transcript.pyannote[170].speaker |
SPEAKER_02 |
transcript.pyannote[170].start |
452.56784375 |
transcript.pyannote[170].end |
455.45346875 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
456.51659375 |
transcript.pyannote[171].end |
459.40221875 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
459.90846875 |
transcript.pyannote[172].end |
461.93346875 |
transcript.pyannote[173].speaker |
SPEAKER_02 |
transcript.pyannote[173].start |
462.18659375 |
transcript.pyannote[173].end |
463.03034375 |
transcript.pyannote[174].speaker |
SPEAKER_02 |
transcript.pyannote[174].start |
463.78971875 |
transcript.pyannote[174].end |
466.27034375 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
466.89471875 |
transcript.pyannote[175].end |
468.81846875 |
transcript.pyannote[176].speaker |
SPEAKER_02 |
transcript.pyannote[176].start |
469.24034375 |
transcript.pyannote[176].end |
469.61159375 |
transcript.pyannote[177].speaker |
SPEAKER_02 |
transcript.pyannote[177].start |
469.99971875 |
transcript.pyannote[177].end |
470.84346875 |
transcript.pyannote[178].speaker |
SPEAKER_02 |
transcript.pyannote[178].start |
470.92784375 |
transcript.pyannote[178].end |
472.04159375 |
transcript.pyannote[179].speaker |
SPEAKER_02 |
transcript.pyannote[179].start |
472.32846875 |
transcript.pyannote[179].end |
473.89784375 |
transcript.pyannote[180].speaker |
SPEAKER_02 |
transcript.pyannote[180].start |
474.33659375 |
transcript.pyannote[180].end |
475.56846875 |
transcript.pyannote[181].speaker |
SPEAKER_04 |
transcript.pyannote[181].start |
479.11221875 |
transcript.pyannote[181].end |
479.56784375 |
transcript.pyannote[182].speaker |
SPEAKER_04 |
transcript.pyannote[182].start |
479.66909375 |
transcript.pyannote[182].end |
482.80784375 |
transcript.pyannote[183].speaker |
SPEAKER_04 |
transcript.pyannote[183].start |
482.95971875 |
transcript.pyannote[183].end |
485.08596875 |
transcript.pyannote[184].speaker |
SPEAKER_02 |
transcript.pyannote[184].start |
485.40659375 |
transcript.pyannote[184].end |
487.31346875 |
transcript.pyannote[185].speaker |
SPEAKER_02 |
transcript.pyannote[185].start |
487.51596875 |
transcript.pyannote[185].end |
489.64221875 |
transcript.pyannote[186].speaker |
SPEAKER_04 |
transcript.pyannote[186].start |
491.51534375 |
transcript.pyannote[186].end |
494.14784375 |
transcript.pyannote[187].speaker |
SPEAKER_04 |
transcript.pyannote[187].start |
494.82284375 |
transcript.pyannote[187].end |
500.03721875 |
transcript.pyannote[188].speaker |
SPEAKER_02 |
transcript.pyannote[188].start |
500.03721875 |
transcript.pyannote[188].end |
500.08784375 |
transcript.pyannote[189].speaker |
SPEAKER_02 |
transcript.pyannote[189].start |
501.06659375 |
transcript.pyannote[189].end |
503.04096875 |
transcript.pyannote[190].speaker |
SPEAKER_02 |
transcript.pyannote[190].start |
503.63159375 |
transcript.pyannote[190].end |
505.72409375 |
transcript.pyannote[191].speaker |
SPEAKER_04 |
transcript.pyannote[191].start |
506.61846875 |
transcript.pyannote[191].end |
516.27096875 |
transcript.pyannote[192].speaker |
SPEAKER_02 |
transcript.pyannote[192].start |
506.85471875 |
transcript.pyannote[192].end |
508.06971875 |
transcript.pyannote[193].speaker |
SPEAKER_02 |
transcript.pyannote[193].start |
517.14846875 |
transcript.pyannote[193].end |
520.40534375 |
transcript.pyannote[194].speaker |
SPEAKER_02 |
transcript.pyannote[194].start |
520.74284375 |
transcript.pyannote[194].end |
523.15596875 |
transcript.pyannote[195].speaker |
SPEAKER_02 |
transcript.pyannote[195].start |
523.69596875 |
transcript.pyannote[195].end |
524.67471875 |
transcript.pyannote[196].speaker |
SPEAKER_02 |
transcript.pyannote[196].start |
524.97846875 |
transcript.pyannote[196].end |
528.10034375 |
transcript.pyannote[197].speaker |
SPEAKER_02 |
transcript.pyannote[197].start |
528.67409375 |
transcript.pyannote[197].end |
530.14221875 |
transcript.pyannote[198].speaker |
SPEAKER_02 |
transcript.pyannote[198].start |
530.39534375 |
transcript.pyannote[198].end |
531.05346875 |
transcript.pyannote[199].speaker |
SPEAKER_02 |
transcript.pyannote[199].start |
531.50909375 |
transcript.pyannote[199].end |
532.21784375 |
transcript.pyannote[200].speaker |
SPEAKER_02 |
transcript.pyannote[200].start |
532.33596875 |
transcript.pyannote[200].end |
533.80409375 |
transcript.pyannote[201].speaker |
SPEAKER_02 |
transcript.pyannote[201].start |
534.32721875 |
transcript.pyannote[201].end |
534.85034375 |
transcript.pyannote[202].speaker |
SPEAKER_02 |
transcript.pyannote[202].start |
535.93034375 |
transcript.pyannote[202].end |
539.05221875 |
transcript.pyannote[203].speaker |
SPEAKER_02 |
transcript.pyannote[203].start |
539.13659375 |
transcript.pyannote[203].end |
540.68909375 |
transcript.pyannote[204].speaker |
SPEAKER_02 |
transcript.pyannote[204].start |
541.46534375 |
transcript.pyannote[204].end |
545.75159375 |
transcript.pyannote[205].speaker |
SPEAKER_04 |
transcript.pyannote[205].start |
543.84471875 |
transcript.pyannote[205].end |
555.67409375 |
transcript.pyannote[206].speaker |
SPEAKER_02 |
transcript.pyannote[206].start |
551.57346875 |
transcript.pyannote[206].end |
553.88534375 |
transcript.pyannote[207].speaker |
SPEAKER_02 |
transcript.pyannote[207].start |
555.58971875 |
transcript.pyannote[207].end |
556.33221875 |
transcript.pyannote[208].speaker |
SPEAKER_02 |
transcript.pyannote[208].start |
556.66971875 |
transcript.pyannote[208].end |
556.68659375 |
transcript.pyannote[209].speaker |
SPEAKER_04 |
transcript.pyannote[209].start |
556.68659375 |
transcript.pyannote[209].end |
559.60596875 |
transcript.pyannote[210].speaker |
SPEAKER_02 |
transcript.pyannote[210].start |
556.80471875 |
transcript.pyannote[210].end |
562.30596875 |
transcript.pyannote[211].speaker |
SPEAKER_04 |
transcript.pyannote[211].start |
559.99409375 |
transcript.pyannote[211].end |
561.34409375 |
transcript.pyannote[212].speaker |
SPEAKER_02 |
transcript.pyannote[212].start |
562.64346875 |
transcript.pyannote[212].end |
567.03096875 |
transcript.pyannote[213].speaker |
SPEAKER_04 |
transcript.pyannote[213].start |
567.80721875 |
transcript.pyannote[213].end |
567.85784375 |
transcript.pyannote[214].speaker |
SPEAKER_02 |
transcript.pyannote[214].start |
567.85784375 |
transcript.pyannote[214].end |
567.94221875 |
transcript.pyannote[215].speaker |
SPEAKER_04 |
transcript.pyannote[215].start |
567.99284375 |
transcript.pyannote[215].end |
569.49471875 |
transcript.pyannote[216].speaker |
SPEAKER_02 |
transcript.pyannote[216].start |
568.75221875 |
transcript.pyannote[216].end |
569.34284375 |
transcript.pyannote[217].speaker |
SPEAKER_02 |
transcript.pyannote[217].start |
569.49471875 |
transcript.pyannote[217].end |
569.57909375 |
transcript.pyannote[218].speaker |
SPEAKER_04 |
transcript.pyannote[218].start |
569.57909375 |
transcript.pyannote[218].end |
569.61284375 |
transcript.pyannote[219].speaker |
SPEAKER_02 |
transcript.pyannote[219].start |
569.61284375 |
transcript.pyannote[219].end |
569.62971875 |
transcript.pyannote[220].speaker |
SPEAKER_04 |
transcript.pyannote[220].start |
569.62971875 |
transcript.pyannote[220].end |
579.88971875 |
transcript.pyannote[221].speaker |
SPEAKER_02 |
transcript.pyannote[221].start |
569.79846875 |
transcript.pyannote[221].end |
570.30471875 |
transcript.pyannote[222].speaker |
SPEAKER_02 |
transcript.pyannote[222].start |
573.32534375 |
transcript.pyannote[222].end |
573.91596875 |
transcript.pyannote[223].speaker |
SPEAKER_02 |
transcript.pyannote[223].start |
574.20284375 |
transcript.pyannote[223].end |
574.21971875 |
transcript.pyannote[224].speaker |
SPEAKER_02 |
transcript.pyannote[224].start |
574.25346875 |
transcript.pyannote[224].end |
575.97471875 |
transcript.pyannote[225].speaker |
SPEAKER_00 |
transcript.pyannote[225].start |
575.97471875 |
transcript.pyannote[225].end |
576.68346875 |
transcript.pyannote[226].speaker |
SPEAKER_04 |
transcript.pyannote[226].start |
579.95721875 |
transcript.pyannote[226].end |
579.97409375 |
transcript.pyannote[227].speaker |
SPEAKER_04 |
transcript.pyannote[227].start |
580.21034375 |
transcript.pyannote[227].end |
581.69534375 |
transcript.whisperx[0].start |
1.441 |
transcript.whisperx[0].end |
13.573 |
transcript.whisperx[0].text |
謝謝主席 以及各位先進有請我們的務務部的邱部長以及我們的審計部的審計長還有主計總署的陳主計長請邱部長 陳審計長 陳主計長 |
transcript.whisperx[1].start |
24.704 |
transcript.whisperx[1].end |
39.624 |
transcript.whisperx[1].text |
我先請教邱部長啦是的是剛才本來不想問這個題目但是有人起個頭我就根據你想請問你啊你剛剛說那個那個凍結都解凍了嘛是是是謝謝請問對於 |
transcript.whisperx[2].start |
43.484 |
transcript.whisperx[2].end |
56.992 |
transcript.whisperx[2].text |
長照有沒有這個山長照的預算有沒有長照的部分有的確有山到有一個有山到嗎有山了五百萬講清楚講清楚旁邊講清楚長照有沒有山來 |
transcript.whisperx[3].start |
61.294 |
transcript.whisperx[3].end |
82.42 |
transcript.whisperx[3].text |
有一個長照社區共生互製計畫這個是針對鼓勵93區原民偏鄉離島長照資源比較不足的長照家庭使用日間照顧那這個被原來是三千萬被三減五百萬這樣子那個育兒津貼有沒有刪育兒津貼育兒津貼沒有育兒津貼沒有刪 |
transcript.whisperx[4].start |
90.136 |
transcript.whisperx[4].end |
110.753 |
transcript.whisperx[4].text |
照顧老的 照顧小的基本上都應該盡量照顧特別要強調的是今天我就拍這個其實你要感謝我你可以跟組計長要錢因為我知道你現在你現在不需要錢我剛剛提你報告你不用錢 |
transcript.whisperx[5].start |
113.458 |
transcript.whisperx[5].end |
129.824 |
transcript.whisperx[5].text |
你都不缺錢我沒有那個我們當然在防疫嘛對啊現在因為疫情起來了啊防疫的方面如果疫情你錢夠不夠啊我聽你著想的啊現階段我們因為準備的都充分所以很悶 |
transcript.whisperx[6].start |
131.212 |
transcript.whisperx[6].end |
158.168 |
transcript.whisperx[6].text |
所以目前是目前都還可以來支應譬如說我們疫苗採購我們會由疫苗基金來支應疫苗採購是疫苗基金不是總預算裡面的喔對不對所以沒有那種什麼三疫苗的事情喔沒有三疫苗的喔當時凍結1000萬那個時候的確有造成一點點困擾啦但是這個已經解決了但是基本上疫苗從疫苗基金出來的 |
transcript.whisperx[7].start |
159.989 |
transcript.whisperx[7].end |
181.409 |
transcript.whisperx[7].text |
那我現在就問你 就是說如果你錢不夠了跟組織總組要什麼科目的錢我們目前來講的盤點是還夠如果有本部裡面 機關署以及我們衛福部來支援不管是疫苗要採購那如果真的有 |
transcript.whisperx[8].start |
182.577 |
transcript.whisperx[8].end |
191.443 |
transcript.whisperx[8].text |
有疫情我們會很密切的來看看國際間還有我們國內的變化我們會早做安排那如果有必要的話我們會請行政院來幫忙主計長啊他們如果要跟你邀請要從什麼科目 |
transcript.whisperx[9].start |
200.358 |
transcript.whisperx[9].end |
224.719 |
transcript.whisperx[9].text |
如果是防疫經費的話這如果疫情起來的時候他可以從他的經費先移緩季節那我們他如果不夠報到行政院來我們也可以從行政院來移緩季節那就是所以各部會都可以做調整那再者也是有災準金第二預備金來做支應那最最可以用第二預備金嗎可以第二預備金也可那你不是說可以要用災害準配金 |
transcript.whisperx[10].start |
225.319 |
transcript.whisperx[10].end |
240.983 |
transcript.whisperx[10].text |
在原則上先用災害準備金因為防疫經費他是放在那個救災法裡面的一個規範就先用災害準備金請教邱部長啊你有沒有準備要用你的第二倍金現在不需要我們部沒有第二倍金 |
transcript.whisperx[11].start |
242.383 |
transcript.whisperx[11].end |
263.342 |
transcript.whisperx[11].text |
我們不是沒有DLA別金,但是我們一直在盤點除非我們預計這個疫情應該到8月,應該這一波是可以足夠來因應但是我們一定要很小心,我們會去看國際間WHO方面的一個訊息我請教你我們還是會超前部署 |
transcript.whisperx[12].start |
266.138 |
transcript.whisperx[12].end |
285.537 |
transcript.whisperx[12].text |
我請教你喔,現在美國的衛生部長小蘿蔔跟內地啊,他不相信疫苗,他規定他突然宣布啊,這個上個月突然宣布對健康兒童跟孕婦啊,不要打這個新冠病毒的疫苗。 |
transcript.whisperx[13].start |
287.335 |
transcript.whisperx[13].end |
298.707 |
transcript.whisperx[13].text |
我們不能這麼看因為那是個人發表的一個意見但是美國的其他專家有意見啦CDC的立場可不可以跟專家講一下 |
transcript.whisperx[14].start |
303.852 |
transcript.whisperx[14].end |
320.791 |
transcript.whisperx[14].text |
那應該說美國有關疫苗的接種的建議通常都是由CDC的一個就是類似像我們台灣一個ACIP的委員會他們做成專家決議之後再建議啦那這次比較怪異的就是由他們的衛生部長跟FDA就直接說出來然後跳過 |
transcript.whisperx[15].start |
322.459 |
transcript.whisperx[15].end |
343.214 |
transcript.whisperx[15].text |
就是美國CDC後來美國CDC他們的發表是說如果說是這個民眾的這個跟醫師共同決定說他們的小孩跟那個健康孕婦跟孕婦是不是還要再施打啦那這個部分在台灣的部分我們還會再徵詢我們台灣的ACIP的委員那還有根據我們我們是不是要強調一下台灣還是要打 |
transcript.whisperx[16].start |
345.079 |
transcript.whisperx[16].end |
364.475 |
transcript.whisperx[16].text |
這個部分就是我們目前的部分依照目前是可以打但是未來這個流感未來這個十月的時候這一季的話我們會還會再尊重這個跟ACIP的委員這邊來尋求一個共識好 我再回到邱部長這裡快篩疫苗藥品都不缺 目前都不缺 |
transcript.whisperx[17].start |
366.269 |
transcript.whisperx[17].end |
382.51 |
transcript.whisperx[17].text |
因為有人說高峰啊 高峰可能到七八月會高峰喔我們在六月中以前會備足到我們疾管署所預計的需求量的快篩的需求量已經預計在高峰是什麼時候2.5倍 六月中 |
transcript.whisperx[18].start |
384.529 |
transcript.whisperx[18].end |
396.483 |
transcript.whisperx[18].text |
7月初高峰開始的時候6月底7月初6月底量大概多少量大概多少大概前一個禮拜算大概20萬左右20萬現在我們目前現在是6萬嘛對不對對對現在是6萬多現在是6萬所以這個通告是不是 |
transcript.whisperx[19].start |
401.322 |
transcript.whisperx[19].end |
414.909 |
transcript.whisperx[19].text |
應該是說我們的抗病毒藥物的部分事實上因為它是大概只有兩成的長者跟慢性病的病人才需要所以它並沒有說需要到那麼大的量所以170萬人如果說整個高峰整個到8月初的時候170萬人那就是最多34萬人要吃藥 |
transcript.whisperx[20].start |
422.213 |
transcript.whisperx[20].end |
448.453 |
transcript.whisperx[20].text |
如果要拆我就不用擺今天那個專案報告了因為是有醫生跟我反應都不夠基層的醫生跟我講不夠所以我才排這個基層的應該是說就有關這一波那我們有沒有要針對這個有關基層的醫師醫療院所還有這個核心藥局的部分我們可以在這個部分來針對給他們的一些獎勵金的部分來做增加好 部長請教你 |
transcript.whisperx[21].start |
453.209 |
transcript.whisperx[21].end |
475.448 |
transcript.whisperx[21].text |
這個民進黨總召柯俊明說啊7月26可能罷免 要在7月26號7月26是有國考的 跟你有關的啊副理事啦 新理事啦 法醫啊 你們要不要講個話印象中你相關人員在他們的憲法給他的權利喔 |
transcript.whisperx[22].start |
479.87 |
transcript.whisperx[22].end |
489.493 |
transcript.whisperx[22].text |
我想這個相關的日期應該相關的單位會做好處理不是不是 這跟你有關係啊因為他如果真的排7號6號就會影響到嗎據我了解那只是易估的啦你沒有跟老闆討論一下跟你的科總要討論一下說你這樣我的人要怎麼 |
transcript.whisperx[23].start |
506.67 |
transcript.whisperx[23].end |
534.525 |
transcript.whisperx[23].text |
我相信這個日期應該是可以達到一個大家都可以安排自己事情的一個時日期這個我覺得你們的考試看起來都不太關心最後一個還是回到回到剛才有提到的啦剛才那個林德偉提到錢是病毒傳染的這個媒介可是 |
transcript.whisperx[24].start |
535.953 |
transcript.whisperx[24].end |
540.253 |
transcript.whisperx[24].text |
你有沒有想過,你自己也知道嗎,我們很多小台灣都是一個人而已啊,那怎麼辦呢? |
transcript.whisperx[25].start |
541.936 |
transcript.whisperx[25].end |
566.236 |
transcript.whisperx[25].text |
這個我覺得還是需要先宣導我們一定先宣導請大家放心我也是來自鄉下基層我們也了解到這個文化但是食安還是要共同一步一步往前走但是這個一定是先胡搗胡搗先行你對於這個一邊走一邊那個字你馬上開法是有意見的法很高欸六萬起跳欸 |
transcript.whisperx[26].start |
570.261 |
transcript.whisperx[26].end |
578.372 |
transcript.whisperx[26].text |
我們的各種小吃店都是辛苦經營我們完全了解他們的辛苦我們會輔導 謝謝 |