IVOD_ID |
158517 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/158517 |
日期 |
2024-12-30 |
會議資料.會議代碼 |
委員會-11-2-20-14 |
會議資料.會議代碼:str |
第11屆第2會期財政委員會第14次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
14 |
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2會期財政委員會第14次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-12-30T11:43:34+08:00 |
結束時間 |
2024-12-30T11:55:24+08:00 |
影片長度 |
00:11:50 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/358c3f0dd56dd1e0717367f89393f27e4f10c035d50fc648d9c2d0a04e685e498e7165f4ad3413885ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
張啓楷 |
委員發言時間 |
11:43:34 - 11:55:24 |
會議時間 |
2024-12-30T09:00:00+08:00 |
會議名稱 |
立法院第11屆第2會期財政委員會第14次全體委員會議(事由:邀請行政院龔秘書長明鑫、行政院主計總處陳主計長淑姿、財政部莊部長翠雲就「行政院表示:因財劃法修正,114年度總預算須重編」進行專題報告,並備質詢。
【113年12月30日及114年1月2日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
12.04596875 |
transcript.pyannote[0].end |
14.10471875 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
14.29034375 |
transcript.pyannote[1].end |
14.39159375 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
19.82534375 |
transcript.pyannote[2].end |
20.31471875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
20.41596875 |
transcript.pyannote[3].end |
21.04034375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
23.01471875 |
transcript.pyannote[4].end |
26.08596875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
26.42346875 |
transcript.pyannote[5].end |
27.33471875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
28.31346875 |
transcript.pyannote[6].end |
35.41784375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
36.12659375 |
transcript.pyannote[7].end |
39.56909375 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
41.83034375 |
transcript.pyannote[8].end |
42.62346875 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
44.53034375 |
transcript.pyannote[9].end |
46.04909375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
47.71971875 |
transcript.pyannote[10].end |
48.31034375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
49.57596875 |
transcript.pyannote[11].end |
51.44909375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
52.00596875 |
transcript.pyannote[12].end |
53.60909375 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
55.34721875 |
transcript.pyannote[13].end |
56.68034375 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
56.96721875 |
transcript.pyannote[14].end |
59.73471875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
61.13534375 |
transcript.pyannote[15].end |
61.84409375 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
62.92409375 |
transcript.pyannote[16].end |
64.25721875 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
64.89846875 |
transcript.pyannote[17].end |
67.02471875 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
67.73346875 |
transcript.pyannote[18].end |
68.89784375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
69.85971875 |
transcript.pyannote[19].end |
73.47096875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
73.82534375 |
transcript.pyannote[20].end |
75.15846875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
76.50846875 |
transcript.pyannote[21].end |
77.28471875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
79.98471875 |
transcript.pyannote[22].end |
81.73971875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
83.12346875 |
transcript.pyannote[23].end |
84.43971875 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
84.92909375 |
transcript.pyannote[24].end |
85.94159375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
86.32971875 |
transcript.pyannote[25].end |
88.81034375 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
89.67096875 |
transcript.pyannote[26].end |
91.93221875 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
92.59034375 |
transcript.pyannote[27].end |
93.23159375 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
93.77159375 |
transcript.pyannote[28].end |
95.02034375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
95.89784375 |
transcript.pyannote[29].end |
97.39971875 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
98.37846875 |
transcript.pyannote[30].end |
99.67784375 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
100.48784375 |
transcript.pyannote[31].end |
101.58471875 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
102.68159375 |
transcript.pyannote[32].end |
103.25534375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
104.03159375 |
transcript.pyannote[33].end |
104.89221875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
105.48284375 |
transcript.pyannote[34].end |
107.84534375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
109.24596875 |
transcript.pyannote[35].end |
109.68471875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
110.54534375 |
transcript.pyannote[36].end |
112.14846875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
112.70534375 |
transcript.pyannote[37].end |
138.62534375 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
137.30909375 |
transcript.pyannote[38].end |
143.55284375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
139.89096875 |
transcript.pyannote[39].end |
140.21159375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
144.91971875 |
transcript.pyannote[40].end |
145.67909375 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
146.43846875 |
transcript.pyannote[41].end |
149.00346875 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
149.29034375 |
transcript.pyannote[42].end |
150.26909375 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
150.65721875 |
transcript.pyannote[43].end |
151.87221875 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
152.29409375 |
transcript.pyannote[44].end |
156.54659375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
157.05284375 |
transcript.pyannote[45].end |
159.44909375 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
159.73596875 |
transcript.pyannote[46].end |
160.79909375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
161.32221875 |
transcript.pyannote[47].end |
164.78159375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
161.81159375 |
transcript.pyannote[48].end |
164.37659375 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
164.78159375 |
transcript.pyannote[49].end |
165.72659375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
166.40159375 |
transcript.pyannote[50].end |
178.18034375 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
166.57034375 |
transcript.pyannote[51].end |
167.78534375 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
178.56846875 |
transcript.pyannote[52].end |
183.05721875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
183.09096875 |
transcript.pyannote[53].end |
183.52971875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
183.83346875 |
transcript.pyannote[54].end |
188.42346875 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
189.19971875 |
transcript.pyannote[55].end |
190.22909375 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
190.76909375 |
transcript.pyannote[56].end |
193.40159375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
190.88721875 |
transcript.pyannote[57].end |
192.60846875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
194.32971875 |
transcript.pyannote[58].end |
199.76346875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
200.69159375 |
transcript.pyannote[59].end |
203.37471875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
203.44221875 |
transcript.pyannote[60].end |
205.24784375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
204.06659375 |
transcript.pyannote[61].end |
206.76659375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
207.01971875 |
transcript.pyannote[62].end |
215.54159375 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
216.06471875 |
transcript.pyannote[63].end |
216.84096875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
217.24596875 |
transcript.pyannote[64].end |
218.47784375 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
218.93346875 |
transcript.pyannote[65].end |
219.37221875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
220.50284375 |
transcript.pyannote[66].end |
223.10159375 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
223.89471875 |
transcript.pyannote[67].end |
225.95346875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
226.39221875 |
transcript.pyannote[68].end |
228.24846875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
229.63221875 |
transcript.pyannote[69].end |
230.32409375 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
230.93159375 |
transcript.pyannote[70].end |
234.27284375 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
234.47534375 |
transcript.pyannote[71].end |
236.28096875 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
236.95596875 |
transcript.pyannote[72].end |
239.99346875 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
237.09096875 |
transcript.pyannote[73].end |
237.54659375 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
240.29721875 |
transcript.pyannote[74].end |
241.57971875 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
241.74846875 |
transcript.pyannote[75].end |
243.13221875 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
245.10659375 |
transcript.pyannote[76].end |
246.00096875 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
246.57471875 |
transcript.pyannote[77].end |
247.51971875 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
247.84034375 |
transcript.pyannote[78].end |
249.44346875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
250.18596875 |
transcript.pyannote[79].end |
252.17721875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
252.48096875 |
transcript.pyannote[80].end |
253.30784375 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
254.28659375 |
transcript.pyannote[81].end |
255.11346875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
255.40034375 |
transcript.pyannote[82].end |
256.21034375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
257.23971875 |
transcript.pyannote[83].end |
257.76284375 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
258.10034375 |
transcript.pyannote[84].end |
259.01159375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
261.01971875 |
transcript.pyannote[85].end |
261.67784375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
262.58909375 |
transcript.pyannote[86].end |
263.83784375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
264.63096875 |
transcript.pyannote[87].end |
265.10346875 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
266.31846875 |
transcript.pyannote[88].end |
268.66409375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
268.96784375 |
transcript.pyannote[89].end |
269.82846875 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
270.95909375 |
transcript.pyannote[90].end |
271.75221875 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
272.34284375 |
transcript.pyannote[91].end |
273.03471875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
273.37221875 |
transcript.pyannote[92].end |
274.85721875 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
275.12721875 |
transcript.pyannote[93].end |
276.98346875 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
277.52346875 |
transcript.pyannote[94].end |
278.62034375 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
279.61596875 |
transcript.pyannote[95].end |
280.59471875 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
280.66221875 |
transcript.pyannote[96].end |
282.23159375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
283.26096875 |
transcript.pyannote[97].end |
284.96534375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
285.35346875 |
transcript.pyannote[98].end |
286.97346875 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
287.95221875 |
transcript.pyannote[99].end |
289.20096875 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
290.39909375 |
transcript.pyannote[100].end |
293.57159375 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
295.07346875 |
transcript.pyannote[101].end |
296.52471875 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
296.91284375 |
transcript.pyannote[102].end |
298.22909375 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
299.15721875 |
transcript.pyannote[103].end |
299.91659375 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
300.43971875 |
transcript.pyannote[104].end |
301.13159375 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
301.51971875 |
transcript.pyannote[105].end |
302.27909375 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
302.83596875 |
transcript.pyannote[106].end |
304.94534375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
305.83971875 |
transcript.pyannote[107].end |
306.88596875 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
307.34159375 |
transcript.pyannote[108].end |
308.80971875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
309.50159375 |
transcript.pyannote[109].end |
310.19346875 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
311.42534375 |
transcript.pyannote[110].end |
312.85971875 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
313.33221875 |
transcript.pyannote[111].end |
315.32346875 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
315.59346875 |
transcript.pyannote[112].end |
318.15846875 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
318.76596875 |
transcript.pyannote[113].end |
320.52096875 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
320.99346875 |
transcript.pyannote[114].end |
321.71909375 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
322.05659375 |
transcript.pyannote[115].end |
322.88346875 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
323.69346875 |
transcript.pyannote[116].end |
325.24596875 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
325.87034375 |
transcript.pyannote[117].end |
326.68034375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
326.96721875 |
transcript.pyannote[118].end |
328.24971875 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
329.44784375 |
transcript.pyannote[119].end |
330.76409375 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
335.25284375 |
transcript.pyannote[120].end |
336.14721875 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
338.10471875 |
transcript.pyannote[121].end |
338.37471875 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
338.49284375 |
transcript.pyannote[122].end |
339.40409375 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
339.75846875 |
transcript.pyannote[123].end |
340.31534375 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
340.99034375 |
transcript.pyannote[124].end |
343.20096875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
344.90534375 |
transcript.pyannote[125].end |
346.52534375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
350.47409375 |
transcript.pyannote[126].end |
351.14909375 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
352.26284375 |
transcript.pyannote[127].end |
352.36409375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
352.36409375 |
transcript.pyannote[128].end |
352.39784375 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
352.39784375 |
transcript.pyannote[129].end |
352.44846875 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
352.44846875 |
transcript.pyannote[130].end |
353.54534375 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
352.48221875 |
transcript.pyannote[131].end |
352.53284375 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
353.76471875 |
transcript.pyannote[132].end |
355.11471875 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
358.89471875 |
transcript.pyannote[133].end |
360.32909375 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
361.99971875 |
transcript.pyannote[134].end |
363.60284375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
364.61534375 |
transcript.pyannote[135].end |
365.67846875 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
366.57284375 |
transcript.pyannote[136].end |
367.80471875 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
368.53034375 |
transcript.pyannote[137].end |
369.40784375 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
370.72409375 |
transcript.pyannote[138].end |
372.54659375 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
373.10346875 |
transcript.pyannote[139].end |
374.45346875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
376.05659375 |
transcript.pyannote[140].end |
378.43596875 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
378.68909375 |
transcript.pyannote[141].end |
380.61284375 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
381.20346875 |
transcript.pyannote[142].end |
382.04721875 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
383.71784375 |
transcript.pyannote[143].end |
385.89471875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
388.18971875 |
transcript.pyannote[144].end |
388.83096875 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
389.70846875 |
transcript.pyannote[145].end |
390.83909375 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
391.95284375 |
transcript.pyannote[146].end |
393.50534375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
394.34909375 |
transcript.pyannote[147].end |
395.58096875 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
396.25596875 |
transcript.pyannote[148].end |
397.08284375 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
399.64784375 |
transcript.pyannote[149].end |
400.49159375 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
401.85846875 |
transcript.pyannote[150].end |
404.49096875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
405.70596875 |
transcript.pyannote[151].end |
408.18659375 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
408.35534375 |
transcript.pyannote[152].end |
410.43096875 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
412.65846875 |
transcript.pyannote[153].end |
414.71721875 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
416.23596875 |
transcript.pyannote[154].end |
417.75471875 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
418.32846875 |
transcript.pyannote[155].end |
419.89784375 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
420.47159375 |
transcript.pyannote[156].end |
421.21409375 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
421.65284375 |
transcript.pyannote[157].end |
422.27721875 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
422.71596875 |
transcript.pyannote[158].end |
425.70284375 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
426.86721875 |
transcript.pyannote[159].end |
432.57096875 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
433.22909375 |
transcript.pyannote[160].end |
433.44846875 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
433.36409375 |
transcript.pyannote[161].end |
437.73471875 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
435.11909375 |
transcript.pyannote[162].end |
443.37096875 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
442.83096875 |
transcript.pyannote[163].end |
444.45096875 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
444.45096875 |
transcript.pyannote[164].end |
444.92346875 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
445.00784375 |
transcript.pyannote[165].end |
448.43346875 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
445.36221875 |
transcript.pyannote[166].end |
448.01159375 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
448.97346875 |
transcript.pyannote[167].end |
450.69471875 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
451.62284375 |
transcript.pyannote[168].end |
453.10784375 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
453.85034375 |
transcript.pyannote[169].end |
454.20471875 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
454.69409375 |
transcript.pyannote[170].end |
455.75721875 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
456.16221875 |
transcript.pyannote[171].end |
457.63034375 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
458.32221875 |
transcript.pyannote[172].end |
459.53721875 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
460.09409375 |
transcript.pyannote[173].end |
461.47784375 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
462.01784375 |
transcript.pyannote[174].end |
463.92471875 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
464.83596875 |
transcript.pyannote[175].end |
465.96659375 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
466.57409375 |
transcript.pyannote[176].end |
467.72159375 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
468.98721875 |
transcript.pyannote[177].end |
470.08409375 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
470.62409375 |
transcript.pyannote[178].end |
472.02471875 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
472.39596875 |
transcript.pyannote[179].end |
473.96534375 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
475.19721875 |
transcript.pyannote[180].end |
477.84659375 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
479.56784375 |
transcript.pyannote[181].end |
480.39471875 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
481.79534375 |
transcript.pyannote[182].end |
482.79096875 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
485.32221875 |
transcript.pyannote[183].end |
485.99721875 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
487.80284375 |
transcript.pyannote[184].end |
489.06846875 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
490.84034375 |
transcript.pyannote[185].end |
491.44784375 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
491.75159375 |
transcript.pyannote[186].end |
492.67971875 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
493.21971875 |
transcript.pyannote[187].end |
494.40096875 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
496.71284375 |
transcript.pyannote[188].end |
499.12596875 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
500.08784375 |
transcript.pyannote[189].end |
502.12971875 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
502.70346875 |
transcript.pyannote[190].end |
506.56784375 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
507.12471875 |
transcript.pyannote[191].end |
508.33971875 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
508.81221875 |
transcript.pyannote[192].end |
510.24659375 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
510.48284375 |
transcript.pyannote[193].end |
512.45721875 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
514.14471875 |
transcript.pyannote[194].end |
515.68034375 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
516.30471875 |
transcript.pyannote[195].end |
518.58284375 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
519.15659375 |
transcript.pyannote[196].end |
520.75971875 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
524.48909375 |
transcript.pyannote[197].end |
526.09221875 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
526.21034375 |
transcript.pyannote[198].end |
526.42971875 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
526.71659375 |
transcript.pyannote[199].end |
527.88096875 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
528.77534375 |
transcript.pyannote[200].end |
530.86784375 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
531.22221875 |
transcript.pyannote[201].end |
533.01096875 |
transcript.pyannote[202].speaker |
SPEAKER_01 |
transcript.pyannote[202].start |
533.61846875 |
transcript.pyannote[202].end |
534.25971875 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
534.31034375 |
transcript.pyannote[203].end |
535.35659375 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
535.62659375 |
transcript.pyannote[204].end |
536.50409375 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
537.26346875 |
transcript.pyannote[205].end |
538.79909375 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
539.49096875 |
transcript.pyannote[206].end |
544.01346875 |
transcript.pyannote[207].speaker |
SPEAKER_01 |
transcript.pyannote[207].start |
544.65471875 |
transcript.pyannote[207].end |
545.80221875 |
transcript.pyannote[208].speaker |
SPEAKER_01 |
transcript.pyannote[208].start |
546.57846875 |
transcript.pyannote[208].end |
547.91159375 |
transcript.pyannote[209].speaker |
SPEAKER_01 |
transcript.pyannote[209].start |
548.78909375 |
transcript.pyannote[209].end |
551.06721875 |
transcript.pyannote[210].speaker |
SPEAKER_01 |
transcript.pyannote[210].start |
551.30346875 |
transcript.pyannote[210].end |
552.24846875 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
553.37909375 |
transcript.pyannote[211].end |
554.59409375 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
554.96534375 |
transcript.pyannote[212].end |
557.15909375 |
transcript.pyannote[213].speaker |
SPEAKER_01 |
transcript.pyannote[213].start |
557.49659375 |
transcript.pyannote[213].end |
558.40784375 |
transcript.pyannote[214].speaker |
SPEAKER_01 |
transcript.pyannote[214].start |
558.93096875 |
transcript.pyannote[214].end |
560.24721875 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
560.70284375 |
transcript.pyannote[215].end |
562.25534375 |
transcript.pyannote[216].speaker |
SPEAKER_01 |
transcript.pyannote[216].start |
562.94721875 |
transcript.pyannote[216].end |
564.06096875 |
transcript.pyannote[217].speaker |
SPEAKER_01 |
transcript.pyannote[217].start |
565.98471875 |
transcript.pyannote[217].end |
568.46534375 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
568.80284375 |
transcript.pyannote[218].end |
569.88284375 |
transcript.pyannote[219].speaker |
SPEAKER_01 |
transcript.pyannote[219].start |
570.69284375 |
transcript.pyannote[219].end |
571.68846875 |
transcript.pyannote[220].speaker |
SPEAKER_01 |
transcript.pyannote[220].start |
574.03409375 |
transcript.pyannote[220].end |
574.42221875 |
transcript.pyannote[221].speaker |
SPEAKER_01 |
transcript.pyannote[221].start |
574.64159375 |
transcript.pyannote[221].end |
576.51471875 |
transcript.pyannote[222].speaker |
SPEAKER_01 |
transcript.pyannote[222].start |
576.91971875 |
transcript.pyannote[222].end |
578.50596875 |
transcript.pyannote[223].speaker |
SPEAKER_01 |
transcript.pyannote[223].start |
578.89409375 |
transcript.pyannote[223].end |
580.39596875 |
transcript.pyannote[224].speaker |
SPEAKER_01 |
transcript.pyannote[224].start |
580.49721875 |
transcript.pyannote[224].end |
582.58971875 |
transcript.pyannote[225].speaker |
SPEAKER_01 |
transcript.pyannote[225].start |
583.28159375 |
transcript.pyannote[225].end |
584.53034375 |
transcript.pyannote[226].speaker |
SPEAKER_01 |
transcript.pyannote[226].start |
585.86346875 |
transcript.pyannote[226].end |
586.72409375 |
transcript.pyannote[227].speaker |
SPEAKER_01 |
transcript.pyannote[227].start |
587.58471875 |
transcript.pyannote[227].end |
588.31034375 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
589.33971875 |
transcript.pyannote[228].end |
590.03159375 |
transcript.pyannote[229].speaker |
SPEAKER_01 |
transcript.pyannote[229].start |
591.38159375 |
transcript.pyannote[229].end |
592.29284375 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
592.56284375 |
transcript.pyannote[230].end |
594.84096875 |
transcript.pyannote[231].speaker |
SPEAKER_01 |
transcript.pyannote[231].start |
595.66784375 |
transcript.pyannote[231].end |
598.28346875 |
transcript.pyannote[232].speaker |
SPEAKER_01 |
transcript.pyannote[232].start |
598.51971875 |
transcript.pyannote[232].end |
600.49409375 |
transcript.pyannote[233].speaker |
SPEAKER_01 |
transcript.pyannote[233].start |
601.00034375 |
transcript.pyannote[233].end |
602.46846875 |
transcript.pyannote[234].speaker |
SPEAKER_01 |
transcript.pyannote[234].start |
602.87346875 |
transcript.pyannote[234].end |
603.31221875 |
transcript.pyannote[235].speaker |
SPEAKER_01 |
transcript.pyannote[235].start |
603.97034375 |
transcript.pyannote[235].end |
605.01659375 |
transcript.pyannote[236].speaker |
SPEAKER_01 |
transcript.pyannote[236].start |
605.62409375 |
transcript.pyannote[236].end |
608.79659375 |
transcript.pyannote[237].speaker |
SPEAKER_01 |
transcript.pyannote[237].start |
609.38721875 |
transcript.pyannote[237].end |
610.21409375 |
transcript.pyannote[238].speaker |
SPEAKER_01 |
transcript.pyannote[238].start |
611.47971875 |
transcript.pyannote[238].end |
612.39096875 |
transcript.pyannote[239].speaker |
SPEAKER_01 |
transcript.pyannote[239].start |
613.18409375 |
transcript.pyannote[239].end |
613.57221875 |
transcript.pyannote[240].speaker |
SPEAKER_01 |
transcript.pyannote[240].start |
614.33159375 |
transcript.pyannote[240].end |
615.54659375 |
transcript.pyannote[241].speaker |
SPEAKER_01 |
transcript.pyannote[241].start |
616.33971875 |
transcript.pyannote[241].end |
618.48284375 |
transcript.pyannote[242].speaker |
SPEAKER_01 |
transcript.pyannote[242].start |
619.05659375 |
transcript.pyannote[242].end |
620.18721875 |
transcript.pyannote[243].speaker |
SPEAKER_01 |
transcript.pyannote[243].start |
621.06471875 |
transcript.pyannote[243].end |
625.23284375 |
transcript.pyannote[244].speaker |
SPEAKER_01 |
transcript.pyannote[244].start |
625.90784375 |
transcript.pyannote[244].end |
626.36346875 |
transcript.pyannote[245].speaker |
SPEAKER_01 |
transcript.pyannote[245].start |
627.37596875 |
transcript.pyannote[245].end |
629.45159375 |
transcript.pyannote[246].speaker |
SPEAKER_01 |
transcript.pyannote[246].start |
629.58659375 |
transcript.pyannote[246].end |
630.90284375 |
transcript.pyannote[247].speaker |
SPEAKER_01 |
transcript.pyannote[247].start |
632.03346875 |
transcript.pyannote[247].end |
633.53534375 |
transcript.pyannote[248].speaker |
SPEAKER_01 |
transcript.pyannote[248].start |
633.97409375 |
transcript.pyannote[248].end |
637.85534375 |
transcript.pyannote[249].speaker |
SPEAKER_01 |
transcript.pyannote[249].start |
638.54721875 |
transcript.pyannote[249].end |
639.35721875 |
transcript.pyannote[250].speaker |
SPEAKER_01 |
transcript.pyannote[250].start |
639.59346875 |
transcript.pyannote[250].end |
641.16284375 |
transcript.pyannote[251].speaker |
SPEAKER_01 |
transcript.pyannote[251].start |
642.64784375 |
transcript.pyannote[251].end |
646.69784375 |
transcript.pyannote[252].speaker |
SPEAKER_01 |
transcript.pyannote[252].start |
648.09846875 |
transcript.pyannote[252].end |
651.74346875 |
transcript.pyannote[253].speaker |
SPEAKER_01 |
transcript.pyannote[253].start |
652.28346875 |
transcript.pyannote[253].end |
653.48159375 |
transcript.pyannote[254].speaker |
SPEAKER_01 |
transcript.pyannote[254].start |
654.71346875 |
transcript.pyannote[254].end |
658.22346875 |
transcript.pyannote[255].speaker |
SPEAKER_01 |
transcript.pyannote[255].start |
658.96596875 |
transcript.pyannote[255].end |
661.02471875 |
transcript.pyannote[256].speaker |
SPEAKER_01 |
transcript.pyannote[256].start |
662.64471875 |
transcript.pyannote[256].end |
664.29846875 |
transcript.pyannote[257].speaker |
SPEAKER_01 |
transcript.pyannote[257].start |
666.54284375 |
transcript.pyannote[257].end |
668.11221875 |
transcript.pyannote[258].speaker |
SPEAKER_01 |
transcript.pyannote[258].start |
669.07409375 |
transcript.pyannote[258].end |
673.69784375 |
transcript.pyannote[259].speaker |
SPEAKER_01 |
transcript.pyannote[259].start |
674.38971875 |
transcript.pyannote[259].end |
675.35159375 |
transcript.pyannote[260].speaker |
SPEAKER_01 |
transcript.pyannote[260].start |
676.04346875 |
transcript.pyannote[260].end |
677.15721875 |
transcript.pyannote[261].speaker |
SPEAKER_01 |
transcript.pyannote[261].start |
677.81534375 |
transcript.pyannote[261].end |
678.43971875 |
transcript.pyannote[262].speaker |
SPEAKER_01 |
transcript.pyannote[262].start |
679.40159375 |
transcript.pyannote[262].end |
681.07221875 |
transcript.pyannote[263].speaker |
SPEAKER_01 |
transcript.pyannote[263].start |
682.16909375 |
transcript.pyannote[263].end |
683.51909375 |
transcript.pyannote[264].speaker |
SPEAKER_01 |
transcript.pyannote[264].start |
683.53596875 |
transcript.pyannote[264].end |
685.52721875 |
transcript.pyannote[265].speaker |
SPEAKER_01 |
transcript.pyannote[265].start |
685.72971875 |
transcript.pyannote[265].end |
686.40471875 |
transcript.pyannote[266].speaker |
SPEAKER_01 |
transcript.pyannote[266].start |
686.62409375 |
transcript.pyannote[266].end |
688.04159375 |
transcript.pyannote[267].speaker |
SPEAKER_01 |
transcript.pyannote[267].start |
688.69971875 |
transcript.pyannote[267].end |
691.23096875 |
transcript.pyannote[268].speaker |
SPEAKER_01 |
transcript.pyannote[268].start |
691.38284375 |
transcript.pyannote[268].end |
694.40346875 |
transcript.pyannote[269].speaker |
SPEAKER_01 |
transcript.pyannote[269].start |
695.12909375 |
transcript.pyannote[269].end |
697.76159375 |
transcript.pyannote[270].speaker |
SPEAKER_01 |
transcript.pyannote[270].start |
698.62221875 |
transcript.pyannote[270].end |
699.06096875 |
transcript.pyannote[271].speaker |
SPEAKER_01 |
transcript.pyannote[271].start |
700.74846875 |
transcript.pyannote[271].end |
701.96346875 |
transcript.pyannote[272].speaker |
SPEAKER_01 |
transcript.pyannote[272].start |
702.23346875 |
transcript.pyannote[272].end |
704.61284375 |
transcript.pyannote[273].speaker |
SPEAKER_01 |
transcript.pyannote[273].start |
705.06846875 |
transcript.pyannote[273].end |
705.99659375 |
transcript.pyannote[274].speaker |
SPEAKER_01 |
transcript.pyannote[274].start |
706.38471875 |
transcript.pyannote[274].end |
707.80221875 |
transcript.pyannote[275].speaker |
SPEAKER_00 |
transcript.pyannote[275].start |
708.78096875 |
transcript.pyannote[275].end |
708.88221875 |
transcript.pyannote[276].speaker |
SPEAKER_01 |
transcript.pyannote[276].start |
708.88221875 |
transcript.pyannote[276].end |
709.15221875 |
transcript.pyannote[277].speaker |
SPEAKER_00 |
transcript.pyannote[277].start |
709.15221875 |
transcript.pyannote[277].end |
709.18596875 |
transcript.pyannote[278].speaker |
SPEAKER_01 |
transcript.pyannote[278].start |
709.18596875 |
transcript.pyannote[278].end |
709.25346875 |
transcript.pyannote[279].speaker |
SPEAKER_00 |
transcript.pyannote[279].start |
709.25346875 |
transcript.pyannote[279].end |
709.32096875 |
transcript.pyannote[280].speaker |
SPEAKER_01 |
transcript.pyannote[280].start |
709.32096875 |
transcript.pyannote[280].end |
709.37159375 |
transcript.pyannote[281].speaker |
SPEAKER_00 |
transcript.pyannote[281].start |
709.37159375 |
transcript.pyannote[281].end |
709.74284375 |
transcript.whisperx[0].start |
12.699 |
transcript.whisperx[0].end |
39.264 |
transcript.whisperx[0].text |
請請副秘書長叫主計長委員好我看了行政院這幾天還有特別是主計長你今天提出來你說以後被衝擊而且有可能會減少的八個面向我看了我真的是非常的難過我問問為什麼開始我的質詢是我們都摸著良心 |
transcript.whisperx[1].start |
41.872 |
transcript.whisperx[1].end |
68.673 |
transcript.whisperx[1].text |
摸著良心希望我們的心都還是好的如果心壞掉了就變成壞人了就變成壞心的人了今天主計總處提了三檢的八個項目包括說可能會影響到民眾的就醫前線影響到癌症的癌由 |
transcript.whisperx[2].start |
69.892 |
transcript.whisperx[2].end |
97.17 |
transcript.whisperx[2].text |
喊病等民眾使用心藥跟護理人員的獎勵還有影響到勞工的勞退基金這種錢你砍得下去嗎?主規定你是決定優先順序哪些不當的錢我們如果要把減少錢是不是有腐爛的、浪費的、不當的、有弊案的先砍對不對你怎麼會提個八個面向 |
transcript.whisperx[3].start |
98.41 |
transcript.whisperx[3].end |
107.44 |
transcript.whisperx[3].text |
刀刀砍向的是我們生病的人是勞工?這咁好心美人?你是好心的主計長還是壞心的主計長? |
transcript.whisperx[4].start |
110.578 |
transcript.whisperx[4].end |
135.271 |
transcript.whisperx[4].text |
你的心還好嗎?沒有壞掉?報告委員我們整個114年的預算是3兆1那扣除依法律15就是1兆8那剩下1兆3那1兆3的各項項目如果我們以目前還沒有經過檢討原則上是平均減就是各項減28%那是不是哪些項目不減必須經過討論之後開會討論之後再開會這一次規定我說到問你嘛 |
transcript.whisperx[5].start |
144.955 |
transcript.whisperx[5].end |
161.859 |
transcript.whisperx[5].text |
你怎麼去砍生病人的錢、該用的錢、薪料的錢、砍勞工的錢還講什麼?可能為了連毒品跟打仗,你意思是說錢沒夠?你連毒品都不要再查了嗎?打仗都不要了嗎?你這是威脅人民 |
transcript.whisperx[6].start |
166.6 |
transcript.whisperx[6].end |
191.105 |
transcript.whisperx[6].text |
如果以國防預算來講,國防預算如果不減那我這樣子我其他就必須相對所有全部提高要到3減37%所以蘇珂婷我都要提起你嘛,我們兩個我在執行,你的回答是你都摸著良心嘛你是要決定哪些不當的、腐爛的、弊案的要刪掉嘛對不對不要去刪到國防 |
transcript.whisperx[7].start |
194.386 |
transcript.whisperx[7].end |
198.069 |
transcript.whisperx[7].text |
會不夠嗎?現在立法院正在審啊可以啊有幾個方法可以解決錢不夠的問題嘛 |
transcript.whisperx[8].start |
223.939 |
transcript.whisperx[8].end |
253.049 |
transcript.whisperx[8].text |
你有足夠的錢財政變好了這幾年每一年政府財政都超生啊今年超生多少五億一千萬五千一百億對不對至少中央分的有三千多億啊你可以追加預算這是第一把錢增加了第二個減少不當的嘛我來跟你講什麼叫不當的來我們看一下當要犧牲人民的這個權益的時候還有關聯自己的福利的時候我們來看一下 |
transcript.whisperx[9].start |
254.329 |
transcript.whisperx[9].end |
268.32 |
transcript.whisperx[9].text |
有一筆錢叫特別費我看了一下明年度所有關聯的特別費編了超過1億629萬以上這筆錢要做什麼用?供首長招待或者饋贈嘛 |
transcript.whisperx[10].start |
283.305 |
transcript.whisperx[10].end |
309.792 |
transcript.whisperx[10].text |
你把人民的醫療把人民的退休錢都砍了為什麼不先回來砍自己人民的醫療退休還是你的福利比較重要這一億是不是就該砍的如果你真的要砍到人民我公開倡議今年我們現在在審的明年度所有的首長的特別費從總統開始特別是總統跟行政院長中通戶 |
transcript.whisperx[11].start |
311.502 |
transcript.whisperx[11].end |
330.467 |
transcript.whisperx[11].text |
三八百年特別會.行政院四八五十年特別會.各部會一直到首長的都有特別會.這個你還去做什麼饋贈跟招待.請什麼課.送什麼紅包.人民醫療都被你們砍掉了.這筆錢明年114年全砍.第二個我們再看下一個新聞 |
transcript.whisperx[12].start |
338.134 |
transcript.whisperx[12].end |
362.832 |
transcript.whisperx[12].text |
一部發布一個新的任命案中央巡產會的董事長數字會不會去接?主計長你知道他一年的薪水多少?30萬1個月30萬年薪600萬你年薪多少?他比你還多欸一個中央巡產會當署定 |
transcript.whisperx[13].start |
365.136 |
transcript.whisperx[13].end |
381.845 |
transcript.whisperx[13].text |
僅離開了罷班而且這個是本來是無幾子的耶以前要嘛就是農業部的次長要嘛就是市長會的司長以前人民不用再花一毛錢的名子名高為零送錢開戲僅離開了罷班這個錢要不要砍?是這問題的這個新工作這個錢能留著嗎?我更要問從整個結構面來看 |
transcript.whisperx[14].start |
391.997 |
transcript.whisperx[14].end |
412.73 |
transcript.whisperx[14].text |
政府有多少國營事業?有多少財團法人?多少基金?幾百個啊!不只中央稀產會的這個董事長的錢要砍啊!這些很多弊案的但會名子名高的特別是他本來有什麼績效可以領這麼多錢?主席來我做個倡議 |
transcript.whisperx[15].start |
416.26 |
transcript.whisperx[15].end |
417.542 |
transcript.whisperx[15].text |
報告委員 這個國營事業和基金他不在我們3753億裡面喔 |
transcript.whisperx[16].start |
433.22 |
transcript.whisperx[16].end |
433.38 |
transcript.whisperx[16].text |
議員主席 |
transcript.whisperx[17].start |
458.342 |
transcript.whisperx[17].end |
485.78 |
transcript.whisperx[17].text |
而且才符合公平啊憑什麼國營事業董事長什麼系長會董事長比你薪水還高大概是你的三倍對不對你錢也兩百萬而已啊他憑什麼拿六百萬而且不是一個中央系長會有多少國營事業董事長多少基金會的董事長拿的比你還多多了兩三倍前面去檢討另外你要砍人民最近啊 |
transcript.whisperx[18].start |
487.844 |
transcript.whisperx[18].end |
509.092 |
transcript.whisperx[18].text |
光是台電的這個錢我砍了火力發電的錢250億你現在把核電廢掉了結果你一直在燒煤燒煤不是民進黨政府的政策嗎以前國民黨政府到民進黨都說燃煤要減少就燃煤還是一直燒還是什麼賣掉電廠這個燃煤電廠還一直買電 |
transcript.whisperx[19].start |
514.195 |
transcript.whisperx[19].end |
518.017 |
transcript.whisperx[19].text |
上海人民的健康還多花錢250億金銀就砍了一樣啊114年至少砍500億啊怎麼沒錢所以要有哪些錢要錢不過的 |
transcript.whisperx[20].start |
528.803 |
transcript.whisperx[20].end |
545.336 |
transcript.whisperx[20].text |
要嘛就是你主計總處、行政院你去把剛剛一路講下來的腐爛、不該花的錢的、不當的錢你腐爛你看水電費今年的水電費變80億已經被罵臭頭了每年還編輯了110億、101億還給20億的出來這21億不用砍掉嗎?人民會同意你說你要增加這21億嗎?這是不是腐爛? |
transcript.whisperx[21].start |
553.37 |
transcript.whisperx[21].end |
571.903 |
transcript.whisperx[21].text |
響鐘 |
transcript.whisperx[22].start |
574.079 |
transcript.whisperx[22].end |
594.018 |
transcript.whisperx[22].text |
所以我今天摸著良心問話你也摸著良心回答我你如果是一個有良心的主計長請你回去檢討腐爛浪費的、不當的、弊案的包括我剛剛講的如果是你要砍人民的醫療 |
transcript.whisperx[23].start |
595.831 |
transcript.whisperx[23].end |
615.366 |
transcript.whisperx[23].text |
斬他的退休金請你們先從砍自己開始從總統跟行政院難到各個部會各個國運社董事長開始做起好不好你們自己都沒有沒有砍自己的福利了憑什麼去砍人民的錢人民的健康人民的退休金好不好現在有幾個解決方式 |
transcript.whisperx[24].start |
616.483 |
transcript.whisperx[24].end |
639.043 |
transcript.whisperx[24].text |
其實啦你已經說不重編了嘛對不對明年不重編了嘛對不對事實上這個應該財劃法這次的修正應該真正實施也應該是後年吧對不對那你有一年的時間你還要檢討我剛剛講的好不好我們謀著良心我只有要減這三千億第一個要減三千億不成問題我剛剛一路練下來減三千億太容易了我這國會會事務的記者照顧啊 |
transcript.whisperx[25].start |
642.691 |
transcript.whisperx[25].end |
667.886 |
transcript.whisperx[25].text |
有多少的預算本來就是檢討以後人民是有掌聲的欸以前總統薪水多少從陳水扁當立法委員我當記者我就開始追這個錢我們以前總統是一個月是84萬欸威權時代我們以前是威權時代是強人所以我們總統薪水很高啊你在陳水扁當總統薪水砍一半欸降到從84降到42以前財政部長一定知道 |
transcript.whisperx[26].start |
669.11 |
transcript.whisperx[26].end |
697.466 |
transcript.whisperx[26].text |
以前你們這些所長的薪水有公費跟稅費一半不用繳稅對不對後來不就改了嗎改全部要繳稅啊合理啊國庫至少增加了一億以上啊你去做這些改革嘛你才是一個好心的主計長也是一個有改革的主計長嘛我今天看了老蔣你們不要再講這個各個部會輪流出來該記者會啊主計總是說要砍這八項這八大項每一項都砍在人民身上欸 |
transcript.whisperx[27].start |
700.986 |
transcript.whisperx[27].end |
704.391 |
transcript.whisperx[27].text |
請把人民放心上,我們希望我們都做一個有良心的人,拜託一下。 |