IVOD_ID |
163552 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/163552 |
日期 |
2025-08-19 |
會議資料.會議代碼 |
院會-11-3-25 |
會議資料.會議代碼:str |
第11屆第3會期第25次會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
25 |
會議資料.種類 |
院會 |
會議資料.標題 |
第11屆第3會期第25次會議 |
影片種類 |
Clip |
開始時間 |
2025-08-19T14:30:21+08:00 |
結束時間 |
2025-08-19T14:46:09+08:00 |
影片長度 |
00:15:48 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/906c3280ae286f11938d26562e2196a218ad07c9952a2a53c376a4f2be5d241cda6e6bdae5930a855ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
鍾佳濱 |
委員發言時間 |
14:30:21 - 14:46:09 |
會議時間 |
2025-08-19T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第25次會議(事由:一、行政院院長提出「新世代打擊詐欺策略行動綱領2.0執行成效」專案報告並備質詢(8月15日)。二、行政院院長提出「全額撥付114年度對地方政府之一般性補助款及原住民族地區基本設施維持費等相關事宜」專案報告並備質詢(8月19日)。) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
7.23659375 |
transcript.pyannote[0].end |
8.63721875 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
9.02534375 |
transcript.pyannote[1].end |
12.16409375 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
12.50159375 |
transcript.pyannote[2].end |
16.38284375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
17.15909375 |
transcript.pyannote[3].end |
17.81721875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
18.40784375 |
transcript.pyannote[4].end |
19.63971875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
20.17971875 |
transcript.pyannote[5].end |
20.93909375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
32.78534375 |
transcript.pyannote[6].end |
33.35909375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
34.08471875 |
transcript.pyannote[7].end |
36.14346875 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
36.53159375 |
transcript.pyannote[8].end |
41.54346875 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
42.23534375 |
transcript.pyannote[9].end |
46.69034375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
47.09534375 |
transcript.pyannote[10].end |
48.09096875 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
48.96846875 |
transcript.pyannote[11].end |
49.69409375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
49.89659375 |
transcript.pyannote[12].end |
50.72346875 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
51.34784375 |
transcript.pyannote[13].end |
52.41096875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
52.64721875 |
transcript.pyannote[14].end |
55.58346875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
55.61721875 |
transcript.pyannote[15].end |
58.85721875 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
59.22846875 |
transcript.pyannote[16].end |
60.05534375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
59.76846875 |
transcript.pyannote[17].end |
60.62909375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
61.00034375 |
transcript.pyannote[18].end |
61.50659375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
61.99596875 |
transcript.pyannote[19].end |
66.99096875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
67.42971875 |
transcript.pyannote[20].end |
72.47534375 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
72.55971875 |
transcript.pyannote[21].end |
74.02784375 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
74.17971875 |
transcript.pyannote[22].end |
75.37784375 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
76.40721875 |
transcript.pyannote[23].end |
79.88346875 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
80.38971875 |
transcript.pyannote[24].end |
81.06471875 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
81.46971875 |
transcript.pyannote[25].end |
88.08471875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
86.76846875 |
transcript.pyannote[26].end |
92.08409375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
92.25284375 |
transcript.pyannote[27].end |
99.57659375 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
99.76221875 |
transcript.pyannote[28].end |
103.08659375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
103.23846875 |
transcript.pyannote[29].end |
115.05096875 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
108.68909375 |
transcript.pyannote[30].end |
109.92096875 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
115.69221875 |
transcript.pyannote[31].end |
117.29534375 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
117.29534375 |
transcript.pyannote[32].end |
117.76784375 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
117.31221875 |
transcript.pyannote[33].end |
117.66659375 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
117.91971875 |
transcript.pyannote[34].end |
123.21846875 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
123.67409375 |
transcript.pyannote[35].end |
126.74534375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
127.18409375 |
transcript.pyannote[36].end |
127.69034375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
128.02784375 |
transcript.pyannote[37].end |
129.36096875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
130.12034375 |
transcript.pyannote[38].end |
132.76971875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
133.37721875 |
transcript.pyannote[39].end |
134.79471875 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
134.86221875 |
transcript.pyannote[40].end |
137.19096875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
137.68034375 |
transcript.pyannote[41].end |
138.57471875 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
139.35096875 |
transcript.pyannote[42].end |
141.15659375 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
141.57846875 |
transcript.pyannote[43].end |
143.80596875 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
144.22784375 |
transcript.pyannote[44].end |
147.87284375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
148.61534375 |
transcript.pyannote[45].end |
149.08784375 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
149.81346875 |
transcript.pyannote[46].end |
150.72471875 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
152.80034375 |
transcript.pyannote[47].end |
154.43721875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
155.33159375 |
transcript.pyannote[48].end |
159.02721875 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
159.19596875 |
transcript.pyannote[49].end |
162.08159375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
162.30096875 |
transcript.pyannote[50].end |
165.32159375 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
165.20346875 |
transcript.pyannote[51].end |
166.60409375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
166.68846875 |
transcript.pyannote[52].end |
170.87346875 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
170.92409375 |
transcript.pyannote[53].end |
172.74659375 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
173.32034375 |
transcript.pyannote[54].end |
175.17659375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
175.90221875 |
transcript.pyannote[55].end |
176.45909375 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
176.61096875 |
transcript.pyannote[56].end |
181.79159375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
182.53409375 |
transcript.pyannote[57].end |
183.90096875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
184.44096875 |
transcript.pyannote[58].end |
186.36471875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
186.75284375 |
transcript.pyannote[59].end |
189.31784375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
190.97159375 |
transcript.pyannote[60].end |
193.26659375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
192.81096875 |
transcript.pyannote[61].end |
194.78534375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
193.30034375 |
transcript.pyannote[62].end |
193.58721875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
195.46034375 |
transcript.pyannote[63].end |
197.24909375 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
197.90721875 |
transcript.pyannote[64].end |
200.16846875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
200.38784375 |
transcript.pyannote[65].end |
202.39596875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
202.69971875 |
transcript.pyannote[66].end |
205.34909375 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
205.92284375 |
transcript.pyannote[67].end |
208.35284375 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
208.63971875 |
transcript.pyannote[68].end |
213.92159375 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
214.47846875 |
transcript.pyannote[69].end |
218.49471875 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
218.91659375 |
transcript.pyannote[70].end |
222.02159375 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
221.17784375 |
transcript.pyannote[71].end |
221.32971875 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
222.30846875 |
transcript.pyannote[72].end |
223.59096875 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
223.60784375 |
transcript.pyannote[73].end |
228.43409375 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
226.45971875 |
transcript.pyannote[74].end |
226.91534375 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
228.72096875 |
transcript.pyannote[75].end |
238.22159375 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
238.82909375 |
transcript.pyannote[76].end |
242.38971875 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
242.65971875 |
transcript.pyannote[77].end |
250.32096875 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
251.55284375 |
transcript.pyannote[78].end |
253.71284375 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
254.38784375 |
transcript.pyannote[79].end |
256.68284375 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
255.80534375 |
transcript.pyannote[80].end |
257.18909375 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
257.77971875 |
transcript.pyannote[81].end |
260.42909375 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
261.12096875 |
transcript.pyannote[82].end |
264.46221875 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
264.86721875 |
transcript.pyannote[83].end |
271.48221875 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
271.60034375 |
transcript.pyannote[84].end |
274.92471875 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
276.05534375 |
transcript.pyannote[85].end |
278.19846875 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
278.19846875 |
transcript.pyannote[86].end |
278.41784375 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
278.21534375 |
transcript.pyannote[87].end |
279.12659375 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
279.51471875 |
transcript.pyannote[88].end |
283.44659375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
283.78409375 |
transcript.pyannote[89].end |
284.84721875 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
284.96534375 |
transcript.pyannote[90].end |
286.07909375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
286.60221875 |
transcript.pyannote[91].end |
289.90971875 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
290.50034375 |
transcript.pyannote[92].end |
299.37659375 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
299.44409375 |
transcript.pyannote[93].end |
304.16909375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
304.65846875 |
transcript.pyannote[94].end |
307.76346875 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
308.15159375 |
transcript.pyannote[95].end |
309.40034375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
310.07534375 |
transcript.pyannote[96].end |
310.61534375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
311.18909375 |
transcript.pyannote[97].end |
312.60659375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
313.12971875 |
transcript.pyannote[98].end |
318.36096875 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
318.90096875 |
transcript.pyannote[99].end |
325.09409375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
324.13221875 |
transcript.pyannote[100].end |
330.34221875 |
transcript.pyannote[101].speaker |
SPEAKER_02 |
transcript.pyannote[101].start |
326.76471875 |
transcript.pyannote[101].end |
328.14846875 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
331.21971875 |
transcript.pyannote[102].end |
334.20659375 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
334.22346875 |
transcript.pyannote[103].end |
337.07534375 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
337.48034375 |
transcript.pyannote[104].end |
341.73284375 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
342.88034375 |
transcript.pyannote[105].end |
344.14596875 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
344.70284375 |
transcript.pyannote[106].end |
345.98534375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
346.84596875 |
transcript.pyannote[107].end |
348.65159375 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
348.93846875 |
transcript.pyannote[108].end |
351.77346875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
352.34721875 |
transcript.pyannote[109].end |
354.67596875 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
355.24971875 |
transcript.pyannote[110].end |
355.87409375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
355.94159375 |
transcript.pyannote[111].end |
359.94096875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
360.58221875 |
transcript.pyannote[112].end |
361.93221875 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
360.71721875 |
transcript.pyannote[113].end |
362.06721875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
362.35409375 |
transcript.pyannote[114].end |
368.49659375 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
368.26034375 |
transcript.pyannote[115].end |
371.24721875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
369.20534375 |
transcript.pyannote[116].end |
369.40784375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
372.00659375 |
transcript.pyannote[117].end |
375.41534375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
373.76159375 |
transcript.pyannote[118].end |
374.21721875 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
374.68971875 |
transcript.pyannote[119].end |
376.96784375 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
377.60909375 |
transcript.pyannote[120].end |
385.27034375 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
385.55721875 |
transcript.pyannote[121].end |
391.12596875 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
391.48034375 |
transcript.pyannote[122].end |
392.27346875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
393.10034375 |
transcript.pyannote[123].end |
394.88909375 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
395.37846875 |
transcript.pyannote[124].end |
397.33596875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
398.06159375 |
transcript.pyannote[125].end |
404.64284375 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
405.62159375 |
transcript.pyannote[126].end |
407.54534375 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
407.86596875 |
transcript.pyannote[127].end |
411.17346875 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
411.37596875 |
transcript.pyannote[128].end |
421.01159375 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
421.46721875 |
transcript.pyannote[129].end |
422.54721875 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
423.13784375 |
transcript.pyannote[130].end |
426.69846875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
427.54221875 |
transcript.pyannote[131].end |
429.68534375 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
430.74846875 |
transcript.pyannote[132].end |
433.65096875 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
434.37659375 |
transcript.pyannote[133].end |
435.20346875 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
435.64221875 |
transcript.pyannote[134].end |
436.82346875 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
437.05971875 |
transcript.pyannote[135].end |
443.15159375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
444.04596875 |
transcript.pyannote[136].end |
444.73784375 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
444.95721875 |
transcript.pyannote[137].end |
445.88534375 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
446.94846875 |
transcript.pyannote[138].end |
448.19721875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
449.17596875 |
transcript.pyannote[139].end |
449.91846875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
450.96471875 |
transcript.pyannote[140].end |
454.13721875 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
454.44096875 |
transcript.pyannote[141].end |
457.78221875 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
458.40659375 |
transcript.pyannote[142].end |
460.44846875 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
461.03909375 |
transcript.pyannote[143].end |
461.74784375 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
462.38909375 |
transcript.pyannote[144].end |
464.16096875 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
464.71784375 |
transcript.pyannote[145].end |
470.33721875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
471.24846875 |
transcript.pyannote[146].end |
473.13846875 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
473.76284375 |
transcript.pyannote[147].end |
475.78784375 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
476.61471875 |
transcript.pyannote[148].end |
480.47909375 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
480.90096875 |
transcript.pyannote[149].end |
482.75721875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
483.04409375 |
transcript.pyannote[150].end |
484.47846875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
484.96784375 |
transcript.pyannote[151].end |
489.27096875 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
489.74346875 |
transcript.pyannote[152].end |
493.96221875 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
493.06784375 |
transcript.pyannote[153].end |
493.38846875 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
494.46846875 |
transcript.pyannote[154].end |
494.58659375 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
494.58659375 |
transcript.pyannote[155].end |
494.68784375 |
transcript.pyannote[156].speaker |
SPEAKER_02 |
transcript.pyannote[156].start |
494.68784375 |
transcript.pyannote[156].end |
496.49346875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
494.75534375 |
transcript.pyannote[157].end |
495.83534375 |
transcript.pyannote[158].speaker |
SPEAKER_02 |
transcript.pyannote[158].start |
496.57784375 |
transcript.pyannote[158].end |
496.61159375 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
496.61159375 |
transcript.pyannote[159].end |
497.74221875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
498.45096875 |
transcript.pyannote[160].end |
502.21409375 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
502.99034375 |
transcript.pyannote[161].end |
504.20534375 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
504.66096875 |
transcript.pyannote[162].end |
509.26784375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
509.90909375 |
transcript.pyannote[163].end |
513.97596875 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
514.38096875 |
transcript.pyannote[164].end |
519.03846875 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
519.78096875 |
transcript.pyannote[165].end |
521.11409375 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
522.49784375 |
transcript.pyannote[166].end |
524.42159375 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
525.34971875 |
transcript.pyannote[167].end |
527.30721875 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
527.77971875 |
transcript.pyannote[168].end |
532.53846875 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
532.85909375 |
transcript.pyannote[169].end |
535.03596875 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
535.12034375 |
transcript.pyannote[170].end |
536.43659375 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
536.75721875 |
transcript.pyannote[171].end |
538.15784375 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
538.37721875 |
transcript.pyannote[172].end |
540.21659375 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
540.94221875 |
transcript.pyannote[173].end |
541.85346875 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
542.69721875 |
transcript.pyannote[174].end |
545.78534375 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
546.61221875 |
transcript.pyannote[175].end |
547.50659375 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
547.82721875 |
transcript.pyannote[176].end |
550.93221875 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
551.48909375 |
transcript.pyannote[177].end |
552.26534375 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
553.22721875 |
transcript.pyannote[178].end |
555.13409375 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
555.58971875 |
transcript.pyannote[179].end |
555.97784375 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
556.26471875 |
transcript.pyannote[180].end |
558.01971875 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
558.35721875 |
transcript.pyannote[181].end |
561.41159375 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
561.64784375 |
transcript.pyannote[182].end |
562.03596875 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
562.27221875 |
transcript.pyannote[183].end |
563.82471875 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
564.41534375 |
transcript.pyannote[184].end |
566.67659375 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
566.92971875 |
transcript.pyannote[185].end |
567.70596875 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
567.99284375 |
transcript.pyannote[186].end |
569.41034375 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
570.10221875 |
transcript.pyannote[187].end |
571.85721875 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
572.78534375 |
transcript.pyannote[188].end |
575.18159375 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
576.14346875 |
transcript.pyannote[189].end |
578.74221875 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
578.96159375 |
transcript.pyannote[190].end |
581.12159375 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
581.49284375 |
transcript.pyannote[191].end |
582.13409375 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
582.79221875 |
transcript.pyannote[192].end |
585.67784375 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
586.03221875 |
transcript.pyannote[193].end |
586.62284375 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
587.16284375 |
transcript.pyannote[194].end |
588.12471875 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
589.08659375 |
transcript.pyannote[195].end |
590.16659375 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
591.92159375 |
transcript.pyannote[196].end |
596.30909375 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
596.93346875 |
transcript.pyannote[197].end |
598.80659375 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
599.53221875 |
transcript.pyannote[198].end |
601.74284375 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
602.06346875 |
transcript.pyannote[199].end |
603.63284375 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
603.97034375 |
transcript.pyannote[200].end |
608.02034375 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
608.81346875 |
transcript.pyannote[201].end |
609.40409375 |
transcript.pyannote[202].speaker |
SPEAKER_01 |
transcript.pyannote[202].start |
610.07909375 |
transcript.pyannote[202].end |
611.14221875 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
611.36159375 |
transcript.pyannote[203].end |
612.54284375 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
613.15034375 |
transcript.pyannote[204].end |
614.04471875 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
614.36534375 |
transcript.pyannote[205].end |
616.40721875 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
616.91346875 |
transcript.pyannote[206].end |
618.87096875 |
transcript.pyannote[207].speaker |
SPEAKER_01 |
transcript.pyannote[207].start |
619.42784375 |
transcript.pyannote[207].end |
620.69346875 |
transcript.pyannote[208].speaker |
SPEAKER_01 |
transcript.pyannote[208].start |
621.19971875 |
transcript.pyannote[208].end |
622.75221875 |
transcript.pyannote[209].speaker |
SPEAKER_01 |
transcript.pyannote[209].start |
623.12346875 |
transcript.pyannote[209].end |
625.70534375 |
transcript.pyannote[210].speaker |
SPEAKER_01 |
transcript.pyannote[210].start |
626.36346875 |
transcript.pyannote[210].end |
627.67971875 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
627.93284375 |
transcript.pyannote[211].end |
630.21096875 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
630.78471875 |
transcript.pyannote[212].end |
632.59034375 |
transcript.pyannote[213].speaker |
SPEAKER_01 |
transcript.pyannote[213].start |
633.45096875 |
transcript.pyannote[213].end |
635.59409375 |
transcript.pyannote[214].speaker |
SPEAKER_01 |
transcript.pyannote[214].start |
636.55596875 |
transcript.pyannote[214].end |
639.64409375 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
640.11659375 |
transcript.pyannote[215].end |
642.90096875 |
transcript.pyannote[216].speaker |
SPEAKER_01 |
transcript.pyannote[216].start |
643.27221875 |
transcript.pyannote[216].end |
644.90909375 |
transcript.pyannote[217].speaker |
SPEAKER_01 |
transcript.pyannote[217].start |
644.99346875 |
transcript.pyannote[217].end |
646.73159375 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
647.71034375 |
transcript.pyannote[218].end |
650.03909375 |
transcript.pyannote[219].speaker |
SPEAKER_01 |
transcript.pyannote[219].start |
650.07284375 |
transcript.pyannote[219].end |
651.30471875 |
transcript.pyannote[220].speaker |
SPEAKER_00 |
transcript.pyannote[220].start |
656.14784375 |
transcript.pyannote[220].end |
656.23221875 |
transcript.pyannote[221].speaker |
SPEAKER_01 |
transcript.pyannote[221].start |
656.16471875 |
transcript.pyannote[221].end |
657.19409375 |
transcript.pyannote[222].speaker |
SPEAKER_00 |
transcript.pyannote[222].start |
657.46409375 |
transcript.pyannote[222].end |
659.33721875 |
transcript.pyannote[223].speaker |
SPEAKER_01 |
transcript.pyannote[223].start |
659.82659375 |
transcript.pyannote[223].end |
663.64034375 |
transcript.pyannote[224].speaker |
SPEAKER_01 |
transcript.pyannote[224].start |
663.84284375 |
transcript.pyannote[224].end |
666.82971875 |
transcript.pyannote[225].speaker |
SPEAKER_01 |
transcript.pyannote[225].start |
667.20096875 |
transcript.pyannote[225].end |
667.84221875 |
transcript.pyannote[226].speaker |
SPEAKER_01 |
transcript.pyannote[226].start |
668.31471875 |
transcript.pyannote[226].end |
671.38596875 |
transcript.pyannote[227].speaker |
SPEAKER_01 |
transcript.pyannote[227].start |
671.55471875 |
transcript.pyannote[227].end |
675.08159375 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
675.40221875 |
transcript.pyannote[228].end |
681.10596875 |
transcript.pyannote[229].speaker |
SPEAKER_01 |
transcript.pyannote[229].start |
681.69659375 |
transcript.pyannote[229].end |
684.26159375 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
684.93659375 |
transcript.pyannote[230].end |
685.72971875 |
transcript.pyannote[231].speaker |
SPEAKER_01 |
transcript.pyannote[231].start |
686.05034375 |
transcript.pyannote[231].end |
687.72096875 |
transcript.pyannote[232].speaker |
SPEAKER_01 |
transcript.pyannote[232].start |
687.90659375 |
transcript.pyannote[232].end |
690.57284375 |
transcript.pyannote[233].speaker |
SPEAKER_01 |
transcript.pyannote[233].start |
690.70784375 |
transcript.pyannote[233].end |
693.13784375 |
transcript.pyannote[234].speaker |
SPEAKER_01 |
transcript.pyannote[234].start |
694.15034375 |
transcript.pyannote[234].end |
694.72409375 |
transcript.pyannote[235].speaker |
SPEAKER_01 |
transcript.pyannote[235].start |
695.07846875 |
transcript.pyannote[235].end |
696.91784375 |
transcript.pyannote[236].speaker |
SPEAKER_01 |
transcript.pyannote[236].start |
698.40284375 |
transcript.pyannote[236].end |
699.14534375 |
transcript.pyannote[237].speaker |
SPEAKER_01 |
transcript.pyannote[237].start |
699.39846875 |
transcript.pyannote[237].end |
701.67659375 |
transcript.pyannote[238].speaker |
SPEAKER_01 |
transcript.pyannote[238].start |
701.89596875 |
transcript.pyannote[238].end |
703.58346875 |
transcript.pyannote[239].speaker |
SPEAKER_01 |
transcript.pyannote[239].start |
704.44409375 |
transcript.pyannote[239].end |
705.23721875 |
transcript.pyannote[240].speaker |
SPEAKER_01 |
transcript.pyannote[240].start |
706.11471875 |
transcript.pyannote[240].end |
706.75596875 |
transcript.pyannote[241].speaker |
SPEAKER_01 |
transcript.pyannote[241].start |
706.94159375 |
transcript.pyannote[241].end |
707.80221875 |
transcript.pyannote[242].speaker |
SPEAKER_01 |
transcript.pyannote[242].start |
708.10596875 |
transcript.pyannote[242].end |
711.32909375 |
transcript.pyannote[243].speaker |
SPEAKER_01 |
transcript.pyannote[243].start |
712.05471875 |
transcript.pyannote[243].end |
714.01221875 |
transcript.pyannote[244].speaker |
SPEAKER_01 |
transcript.pyannote[244].start |
714.61971875 |
transcript.pyannote[244].end |
715.75034375 |
transcript.pyannote[245].speaker |
SPEAKER_01 |
transcript.pyannote[245].start |
716.69534375 |
transcript.pyannote[245].end |
719.53034375 |
transcript.pyannote[246].speaker |
SPEAKER_02 |
transcript.pyannote[246].start |
720.50909375 |
transcript.pyannote[246].end |
721.26846875 |
transcript.pyannote[247].speaker |
SPEAKER_01 |
transcript.pyannote[247].start |
720.66096875 |
transcript.pyannote[247].end |
722.31471875 |
transcript.pyannote[248].speaker |
SPEAKER_02 |
transcript.pyannote[248].start |
722.90534375 |
transcript.pyannote[248].end |
725.38596875 |
transcript.pyannote[249].speaker |
SPEAKER_02 |
transcript.pyannote[249].start |
725.57159375 |
transcript.pyannote[249].end |
726.19596875 |
transcript.pyannote[250].speaker |
SPEAKER_02 |
transcript.pyannote[250].start |
726.31409375 |
transcript.pyannote[250].end |
727.88346875 |
transcript.pyannote[251].speaker |
SPEAKER_02 |
transcript.pyannote[251].start |
728.15346875 |
transcript.pyannote[251].end |
729.60471875 |
transcript.pyannote[252].speaker |
SPEAKER_02 |
transcript.pyannote[252].start |
729.94221875 |
transcript.pyannote[252].end |
730.33034375 |
transcript.pyannote[253].speaker |
SPEAKER_01 |
transcript.pyannote[253].start |
731.76471875 |
transcript.pyannote[253].end |
732.96284375 |
transcript.pyannote[254].speaker |
SPEAKER_01 |
transcript.pyannote[254].start |
733.31721875 |
transcript.pyannote[254].end |
736.38846875 |
transcript.pyannote[255].speaker |
SPEAKER_01 |
transcript.pyannote[255].start |
737.02971875 |
transcript.pyannote[255].end |
737.67096875 |
transcript.pyannote[256].speaker |
SPEAKER_01 |
transcript.pyannote[256].start |
738.04221875 |
transcript.pyannote[256].end |
739.88159375 |
transcript.pyannote[257].speaker |
SPEAKER_01 |
transcript.pyannote[257].start |
740.53971875 |
transcript.pyannote[257].end |
742.14284375 |
transcript.pyannote[258].speaker |
SPEAKER_01 |
transcript.pyannote[258].start |
742.48034375 |
transcript.pyannote[258].end |
748.21784375 |
transcript.pyannote[259].speaker |
SPEAKER_01 |
transcript.pyannote[259].start |
748.96034375 |
transcript.pyannote[259].end |
752.79096875 |
transcript.pyannote[260].speaker |
SPEAKER_01 |
transcript.pyannote[260].start |
753.49971875 |
transcript.pyannote[260].end |
754.56284375 |
transcript.pyannote[261].speaker |
SPEAKER_01 |
transcript.pyannote[261].start |
755.33909375 |
transcript.pyannote[261].end |
755.91284375 |
transcript.pyannote[262].speaker |
SPEAKER_01 |
transcript.pyannote[262].start |
756.25034375 |
transcript.pyannote[262].end |
758.02221875 |
transcript.pyannote[263].speaker |
SPEAKER_01 |
transcript.pyannote[263].start |
758.24159375 |
transcript.pyannote[263].end |
760.31721875 |
transcript.pyannote[264].speaker |
SPEAKER_01 |
transcript.pyannote[264].start |
760.90784375 |
transcript.pyannote[264].end |
763.23659375 |
transcript.pyannote[265].speaker |
SPEAKER_01 |
transcript.pyannote[265].start |
763.55721875 |
transcript.pyannote[265].end |
765.81846875 |
transcript.pyannote[266].speaker |
SPEAKER_01 |
transcript.pyannote[266].start |
765.91971875 |
transcript.pyannote[266].end |
768.09659375 |
transcript.pyannote[267].speaker |
SPEAKER_01 |
transcript.pyannote[267].start |
768.36659375 |
transcript.pyannote[267].end |
770.07096875 |
transcript.pyannote[268].speaker |
SPEAKER_01 |
transcript.pyannote[268].start |
770.22284375 |
transcript.pyannote[268].end |
771.31971875 |
transcript.pyannote[269].speaker |
SPEAKER_01 |
transcript.pyannote[269].start |
772.65284375 |
transcript.pyannote[269].end |
773.83409375 |
transcript.pyannote[270].speaker |
SPEAKER_02 |
transcript.pyannote[270].start |
774.84659375 |
transcript.pyannote[270].end |
776.44971875 |
transcript.pyannote[271].speaker |
SPEAKER_02 |
transcript.pyannote[271].start |
776.58471875 |
transcript.pyannote[271].end |
777.36096875 |
transcript.pyannote[272].speaker |
SPEAKER_01 |
transcript.pyannote[272].start |
776.63534375 |
transcript.pyannote[272].end |
777.14159375 |
transcript.pyannote[273].speaker |
SPEAKER_02 |
transcript.pyannote[273].start |
777.86721875 |
transcript.pyannote[273].end |
778.03596875 |
transcript.pyannote[274].speaker |
SPEAKER_01 |
transcript.pyannote[274].start |
778.03596875 |
transcript.pyannote[274].end |
778.96409375 |
transcript.pyannote[275].speaker |
SPEAKER_02 |
transcript.pyannote[275].start |
778.96409375 |
transcript.pyannote[275].end |
779.03159375 |
transcript.pyannote[276].speaker |
SPEAKER_01 |
transcript.pyannote[276].start |
779.03159375 |
transcript.pyannote[276].end |
779.40284375 |
transcript.pyannote[277].speaker |
SPEAKER_02 |
transcript.pyannote[277].start |
780.14534375 |
transcript.pyannote[277].end |
780.16221875 |
transcript.pyannote[278].speaker |
SPEAKER_01 |
transcript.pyannote[278].start |
780.16221875 |
transcript.pyannote[278].end |
782.01846875 |
transcript.pyannote[279].speaker |
SPEAKER_01 |
transcript.pyannote[279].start |
783.14909375 |
transcript.pyannote[279].end |
786.27096875 |
transcript.pyannote[280].speaker |
SPEAKER_01 |
transcript.pyannote[280].start |
786.87846875 |
transcript.pyannote[280].end |
790.50659375 |
transcript.pyannote[281].speaker |
SPEAKER_01 |
transcript.pyannote[281].start |
790.96221875 |
transcript.pyannote[281].end |
795.87284375 |
transcript.pyannote[282].speaker |
SPEAKER_01 |
transcript.pyannote[282].start |
796.71659375 |
transcript.pyannote[282].end |
797.64471875 |
transcript.pyannote[283].speaker |
SPEAKER_01 |
transcript.pyannote[283].start |
798.42096875 |
transcript.pyannote[283].end |
799.23096875 |
transcript.pyannote[284].speaker |
SPEAKER_01 |
transcript.pyannote[284].start |
799.77096875 |
transcript.pyannote[284].end |
801.94784375 |
transcript.pyannote[285].speaker |
SPEAKER_01 |
transcript.pyannote[285].start |
802.30221875 |
transcript.pyannote[285].end |
807.48284375 |
transcript.pyannote[286].speaker |
SPEAKER_02 |
transcript.pyannote[286].start |
808.29284375 |
transcript.pyannote[286].end |
808.93409375 |
transcript.pyannote[287].speaker |
SPEAKER_01 |
transcript.pyannote[287].start |
808.93409375 |
transcript.pyannote[287].end |
808.96784375 |
transcript.pyannote[288].speaker |
SPEAKER_02 |
transcript.pyannote[288].start |
808.96784375 |
transcript.pyannote[288].end |
809.00159375 |
transcript.pyannote[289].speaker |
SPEAKER_01 |
transcript.pyannote[289].start |
809.00159375 |
transcript.pyannote[289].end |
809.01846875 |
transcript.pyannote[290].speaker |
SPEAKER_02 |
transcript.pyannote[290].start |
809.01846875 |
transcript.pyannote[290].end |
815.51534375 |
transcript.pyannote[291].speaker |
SPEAKER_02 |
transcript.pyannote[291].start |
815.83596875 |
transcript.pyannote[291].end |
817.86096875 |
transcript.pyannote[292].speaker |
SPEAKER_02 |
transcript.pyannote[292].start |
817.89471875 |
transcript.pyannote[292].end |
820.00409375 |
transcript.pyannote[293].speaker |
SPEAKER_01 |
transcript.pyannote[293].start |
820.12221875 |
transcript.pyannote[293].end |
821.69159375 |
transcript.pyannote[294].speaker |
SPEAKER_02 |
transcript.pyannote[294].start |
822.24846875 |
transcript.pyannote[294].end |
822.26534375 |
transcript.pyannote[295].speaker |
SPEAKER_01 |
transcript.pyannote[295].start |
822.26534375 |
transcript.pyannote[295].end |
827.09159375 |
transcript.pyannote[296].speaker |
SPEAKER_00 |
transcript.pyannote[296].start |
826.19721875 |
transcript.pyannote[296].end |
826.61909375 |
transcript.pyannote[297].speaker |
SPEAKER_01 |
transcript.pyannote[297].start |
827.46284375 |
transcript.pyannote[297].end |
831.20909375 |
transcript.pyannote[298].speaker |
SPEAKER_01 |
transcript.pyannote[298].start |
831.46221875 |
transcript.pyannote[298].end |
833.43659375 |
transcript.pyannote[299].speaker |
SPEAKER_01 |
transcript.pyannote[299].start |
833.63909375 |
transcript.pyannote[299].end |
834.63471875 |
transcript.pyannote[300].speaker |
SPEAKER_01 |
transcript.pyannote[300].start |
834.93846875 |
transcript.pyannote[300].end |
836.00159375 |
transcript.pyannote[301].speaker |
SPEAKER_01 |
transcript.pyannote[301].start |
836.23784375 |
transcript.pyannote[301].end |
837.45284375 |
transcript.pyannote[302].speaker |
SPEAKER_01 |
transcript.pyannote[302].start |
837.65534375 |
transcript.pyannote[302].end |
838.75221875 |
transcript.pyannote[303].speaker |
SPEAKER_01 |
transcript.pyannote[303].start |
838.95471875 |
transcript.pyannote[303].end |
840.49034375 |
transcript.pyannote[304].speaker |
SPEAKER_01 |
transcript.pyannote[304].start |
840.74346875 |
transcript.pyannote[304].end |
842.00909375 |
transcript.pyannote[305].speaker |
SPEAKER_01 |
transcript.pyannote[305].start |
842.31284375 |
transcript.pyannote[305].end |
846.66659375 |
transcript.pyannote[306].speaker |
SPEAKER_01 |
transcript.pyannote[306].start |
846.71721875 |
transcript.pyannote[306].end |
847.96596875 |
transcript.pyannote[307].speaker |
SPEAKER_02 |
transcript.pyannote[307].start |
847.96596875 |
transcript.pyannote[307].end |
848.11784375 |
transcript.pyannote[308].speaker |
SPEAKER_01 |
transcript.pyannote[308].start |
848.11784375 |
transcript.pyannote[308].end |
851.62784375 |
transcript.pyannote[309].speaker |
SPEAKER_02 |
transcript.pyannote[309].start |
848.23596875 |
transcript.pyannote[309].end |
848.35409375 |
transcript.pyannote[310].speaker |
SPEAKER_01 |
transcript.pyannote[310].start |
852.08346875 |
transcript.pyannote[310].end |
852.80909375 |
transcript.pyannote[311].speaker |
SPEAKER_01 |
transcript.pyannote[311].start |
853.82159375 |
transcript.pyannote[311].end |
855.07034375 |
transcript.pyannote[312].speaker |
SPEAKER_01 |
transcript.pyannote[312].start |
855.35721875 |
transcript.pyannote[312].end |
859.84596875 |
transcript.pyannote[313].speaker |
SPEAKER_01 |
transcript.pyannote[313].start |
859.96409375 |
transcript.pyannote[313].end |
870.86534375 |
transcript.pyannote[314].speaker |
SPEAKER_01 |
transcript.pyannote[314].start |
871.15221875 |
transcript.pyannote[314].end |
872.24909375 |
transcript.pyannote[315].speaker |
SPEAKER_01 |
transcript.pyannote[315].start |
872.58659375 |
transcript.pyannote[315].end |
875.72534375 |
transcript.pyannote[316].speaker |
SPEAKER_01 |
transcript.pyannote[316].start |
876.14721875 |
transcript.pyannote[316].end |
894.28784375 |
transcript.pyannote[317].speaker |
SPEAKER_02 |
transcript.pyannote[317].start |
894.92909375 |
transcript.pyannote[317].end |
901.45971875 |
transcript.pyannote[318].speaker |
SPEAKER_02 |
transcript.pyannote[318].start |
901.54409375 |
transcript.pyannote[318].end |
905.34096875 |
transcript.pyannote[319].speaker |
SPEAKER_01 |
transcript.pyannote[319].start |
905.34096875 |
transcript.pyannote[319].end |
905.35784375 |
transcript.pyannote[320].speaker |
SPEAKER_02 |
transcript.pyannote[320].start |
905.67846875 |
transcript.pyannote[320].end |
906.03284375 |
transcript.pyannote[321].speaker |
SPEAKER_01 |
transcript.pyannote[321].start |
906.03284375 |
transcript.pyannote[321].end |
906.20159375 |
transcript.pyannote[322].speaker |
SPEAKER_02 |
transcript.pyannote[322].start |
906.82596875 |
transcript.pyannote[322].end |
906.85971875 |
transcript.pyannote[323].speaker |
SPEAKER_01 |
transcript.pyannote[323].start |
906.85971875 |
transcript.pyannote[323].end |
909.28971875 |
transcript.pyannote[324].speaker |
SPEAKER_01 |
transcript.pyannote[324].start |
909.74534375 |
transcript.pyannote[324].end |
912.04034375 |
transcript.pyannote[325].speaker |
SPEAKER_01 |
transcript.pyannote[325].start |
912.56346875 |
transcript.pyannote[325].end |
920.41034375 |
transcript.pyannote[326].speaker |
SPEAKER_01 |
transcript.pyannote[326].start |
920.52846875 |
transcript.pyannote[326].end |
932.77971875 |
transcript.pyannote[327].speaker |
SPEAKER_01 |
transcript.pyannote[327].start |
933.15096875 |
transcript.pyannote[327].end |
936.62721875 |
transcript.pyannote[328].speaker |
SPEAKER_01 |
transcript.pyannote[328].start |
936.69471875 |
transcript.pyannote[328].end |
939.96846875 |
transcript.pyannote[329].speaker |
SPEAKER_01 |
transcript.pyannote[329].start |
947.47784375 |
transcript.pyannote[329].end |
949.30034375 |
transcript.whisperx[0].start |
7.427 |
transcript.whisperx[0].end |
19.391 |
transcript.whisperx[0].text |
主席 在場的委員先進列席的總經事長 官員 會長 工作夥伴 媒體 記者 影視先生有請卓院長及主席長以及莊部長麻煩請卓院長 主席長來任務備詢 |
transcript.whisperx[1].start |
32.95 |
transcript.whisperx[1].end |
60.442 |
transcript.whisperx[1].text |
總委員好院長好主席長好莊部長好今天我要請教的題目是中央財稅分配應考慮城鄉發展所得統計以呈現稅負公平目標請問卓院長最近為了災後重建美國關稅衝擊我看到了勞動部發布了一些對勞工的獎勵或補助或支撐措施您知道嗎相當多元知道 很多元 |
transcript.whisperx[2].start |
62.042 |
transcript.whisperx[2].end |
75.238 |
transcript.whisperx[2].text |
我昨天看到勞動部發布了一個消息說明年的基本工資將渴望調高可能高達3%甚至勞團建議4%你覺得是什麼原因需不需要調整 |
transcript.whisperx[3].start |
77.131 |
transcript.whisperx[3].end |
99.319 |
transcript.whisperx[3].text |
這個調整都有一定討論的時程跟過程那最後除了聽取大家意見之外我們衡量國家的財政面臨的各種國內外情勢抱歉勞工的基本薪資跟政府的財政沒有關聯他跟我們的經濟成長跟我們的物價指數還有跟勞工的薪資所得要不要提升有關而且是由 |
transcript.whisperx[4].start |
99.879 |
transcript.whisperx[4].end |
129.162 |
transcript.whisperx[4].text |
学者专家另外政府以外的一个团体结合工商雇主跟劳工代表共同来讨论对不对我们还是会考虑到他调整所以说如果基本薪资调高是不是反映着我们的劳工朋友会乐于见到这样的过程过去的几年我们都连续的调高是的这是一个政府努力带动经济成长利润分配劳工的一个做法所以劳动部这样的一个消息揭露是很振奋人心但是我又看到另外的新闻 |
transcript.whisperx[5].start |
130.148 |
transcript.whisperx[5].end |
158.104 |
transcript.whisperx[5].text |
人事總書表示說明年軍工調薪啊只有兩個版本一個是不調一個是3%看起來不調的可能性大請教一下如果說今天經濟成長我們可以帶動基本薪資的提高那為什麼公教沒有政府沒有錢幫公教加薪呢主席這不是很衝突嗎為什麼沒有辦法幫宗教加薪這個部分也是要看我們整個一個裁員的結構 |
transcript.whisperx[6].start |
159.366 |
transcript.whisperx[6].end |
181.558 |
transcript.whisperx[6].text |
現在財源 明年沒有足夠的財源可以幫公教加薪對 麥克風大聲一點你要很清楚的告訴國人尤其是告訴全國的公教朋友今天我們政府可以帶動經濟成長可以讓勞工朋友明年的基本工資渴望調高 |
transcript.whisperx[7].start |
182.697 |
transcript.whisperx[7].end |
196.97 |
transcript.whisperx[7].text |
將近3%甚至4%但是我們政府中央的財政困難沒有能力幫全國的公教加薪是不是這樣子其實一方面也是因為我們沒有要發展就是因為財化法把中央的收入撥給了地方對不對 |
transcript.whisperx[8].start |
198.015 |
transcript.whisperx[8].end |
213.707 |
transcript.whisperx[8].text |
昨天早上也是這樣表達嗎我們中央的財源被地方拿走了嗎是不是所以民間經濟成長老闆可以幫勞工加薪基本薪資可以提高但是作為雇主的中央政府沒有辦法沒有餘裕幫全國公教調薪是不是這樣 |
transcript.whisperx[9].start |
214.52 |
transcript.whisperx[9].end |
242.169 |
transcript.whisperx[9].text |
像今年 今年的調薪中央政府單獨負擔是122億可是我們會補給地方90億地方另外還有50億自行負擔那未來這樣的結構必須要做改變這個改變之前要讓地方知道所以說你要大聲的告訴他那如果因為中央沒有錢幫全國公教調薪地方政府有錢可不可以單獨幫地方的公務員調薪可不可以但是我們考慮到公務員的薪資還是要有全國的一致性 |
transcript.whisperx[10].start |
242.691 |
transcript.whisperx[10].end |
260.09 |
transcript.whisperx[10].text |
今天台南市議會都通過啊 認為台南市政府有餘裕啊要普發 加碼普發現金 你有沒有看到這個新聞其實任何的社會福利跟這種政策啊 都應該他有那你知道黃市長怎麼說嗎他說如果要發不是發一千 要發就要發一萬啊 |
transcript.whisperx[11].start |
261.155 |
transcript.whisperx[11].end |
289.57 |
transcript.whisperx[11].text |
如果地方政府有財慾 要做好人 大家都會做今天中央的財政 因為財政收支發放法這樣調整之後中央比地方窮 中央沒有辦法幫公交加薪地方比較有錢 地方來幫公交人員調薪 可以嗎這樣可能有失全國公務員公平的這個機制又要馬兒好 又要馬兒不吃草不給中央草 又要地方的馬兒肥這是不可能的嘛 所以我們來往下看這個就是統計數字 來 我看到昨天一個很大的新聞 |
transcript.whisperx[12].start |
290.566 |
transcript.whisperx[12].end |
318.182 |
transcript.whisperx[12].text |
青年所得再創新高31歲以下年平均收入將近56萬元56萬元什麼意思我跟院長說一下56萬元除以12一個月要拿4萬6多的薪水月薪那如果你全國不要拿年輕人全國平均所得是73萬平均月薪大概是6萬以上院長你認識的年輕朋友3歲以下的有多少比例是拿到4萬6以上的月薪 |
transcript.whisperx[13].start |
318.919 |
transcript.whisperx[13].end |
343.235 |
transcript.whisperx[13].text |
所以這只是長年來一樣的統計數據跟計算的方式我覺得要呈現出來的應該更貼近真實呈顯的跟人民的感受是不是有距離我們經常跟主席總書說你公佈平均數真正大家感受的是中位數我再給你拿一個數字如果你拿114年每個月的薪資所得經常信薪資所得未滿30歲的平均數是3萬4啊中位數是3萬啊跟你們發布的數據 |
transcript.whisperx[14].start |
346.872 |
transcript.whisperx[14].end |
370.715 |
transcript.whisperx[14].text |
年輕人的感受差很多啊中位數三萬接近我們的基本工資兩萬八千六平均數多了四千塊是不是所以是哪一個數字才能貼近人民的感受主席是平均數還是中位數這個部分平均數是四萬六但是中位數是三萬八因為這是我們暗示我了解我說哪一個比較貼近人民的感受你認為 |
transcript.whisperx[15].start |
372.268 |
transcript.whisperx[15].end |
397.103 |
transcript.whisperx[15].text |
當然是中位數 這就是問題我再告訴你下一個數字這是我們未滿30歲每個月經常薪資你拿中位數跟平均數來看從109年到114年中位數比平均數差了2700到現在差到了3400有沒有看到什麼叫做中位數跟平均的差距就是所得分配惡化 |
transcript.whisperx[16].start |
398.1 |
transcript.whisperx[16].end |
426.534 |
transcript.whisperx[16].text |
中位數比較低 平均數比較高表示高於中位數的人的薪資高很多很多這樣了解嗎 什麼影響再看一看這個所得分配二劃是什麼這是全年齡的114年1月到6月全國的受僱員工中位數是38000平均數47600差了9500啊院長我要告訴你年輕的時候30歲以下我跟那個高所得的 |
transcript.whisperx[17].start |
427.591 |
transcript.whisperx[17].end |
449.445 |
transcript.whisperx[17].text |
差本來是他多少本來差三千五經過了職業發展之後拉到了9000這是什麼意思政府要正式從職場一入場的時候所得分配二話我們看看中衛書跟評估的差別我再講一個聽下一頁這是一個高中籃球隊一個班級籃球的身高有10個人 |
transcript.whisperx[18].start |
451.021 |
transcript.whisperx[18].end |
455.005 |
transcript.whisperx[18].text |
從169 170 171 172 還有一個160的然後有一個178 183 190 2200的中位數在哪裡 在172.5結果173以下的6個178以上的200 190 180的這樣了解中位數跟平均數的意思沒有多數的人不到172可是平均數是176 |
transcript.whisperx[19].start |
476.833 |
transcript.whisperx[19].end |
502.042 |
transcript.whisperx[19].text |
這就是少數身高特別高的人拉高了我們的身高平均我用這麼淺白的方式告訴你我們的統計數字應該要符合貼近人民真實的感受我們再往下看委員我曾經要求過統計數公佈的時候要同時公佈沒有改嘛沒有改嘛我再告訴你我現在進入去查如果所得分配二的話我們的資產分配有沒有改善 |
transcript.whisperx[20].start |
502.998 |
transcript.whisperx[20].end |
515.408 |
transcript.whisperx[20].text |
我查不到這個數字我要查全國23個縣市我們的家戶資產負債 我們有看到說家庭部門平均每戶的資產負債高達1477萬你去跟我們平等的鄉親講你們每戶的資產是將近1500萬沒人聽下去啦這種數字就是主計總數公布的 |
transcript.whisperx[21].start |
525.407 |
transcript.whisperx[21].end |
552.091 |
transcript.whisperx[21].text |
我們主計總數的數字是客觀的但是怎麼有意義的呈現讓人民知道你知道我要問什麼嗎我要了解一下到底現在全國人民的資產各縣市的分布有沒有一個惡化的均值我找到一個很接近的數字往下看就是土地資產土地資產的價格高低很多人說取決於什麼不是取決於炒作取決於政府投入公共建設的多寡我們來看一下 |
transcript.whisperx[22].start |
553.257 |
transcript.whisperx[22].end |
574.97 |
transcript.whisperx[22].text |
土地價值最高的一定是六都不對除了台北市新北市之外從中間第二名第三名到第四名第五名是竹科的概念區竹科的概念區新竹縣市跟苗栗地價很高然後呢台中桃園高雄跟台南啊然後呢底下通通都是非都 |
transcript.whisperx[23].start |
576.192 |
transcript.whisperx[23].end |
598.593 |
transcript.whisperx[23].text |
六都的土地資產價格高於非都除了新竹科學園區概念之外什麼原因就是因為我們政府預算規模的限制我給你看台中跟彰化兩個人在一起彰化的人口呢是台中的人口是彰化的將近三倍預算規模呢兩倍多 |
transcript.whisperx[24].start |
599.777 |
transcript.whisperx[24].end |
625.106 |
transcript.whisperx[24].text |
反過來預算規模將近三倍人口規模兩倍多他的人均分配的預算可用額度就差了將近兩成什麼意思六度的財政他的人口規模相對有利每個人可以分配到的政府預算相對多房地產的價格自然提高相對的非都彰化跟台中就在隔壁彰化的縣民我還不拿屏東來比 |
transcript.whisperx[25].start |
626.397 |
transcript.whisperx[25].end |
651.164 |
transcript.whisperx[25].text |
就拿彰化來跟台中比彰化是非都的人口最多的縣市結果呢他能分票預算最少院長我要說的是說今天我要教區啊您早上在說的我們中央對地方的補助的目的是什麼不是補助地方政府給他零用錢啊是要平衡協助地方的發展不均嘛對不對這不是一次同仁按照人口規模給多少嗎主計長你們怎麼分配的 |
transcript.whisperx[26].start |
656.209 |
transcript.whisperx[26].end |
684.099 |
transcript.whisperx[26].text |
你們人口怎麼分配的我們用財力分級來分配我要告訴你地方補助款是為了改善城鄉差距的分配不是按照人口規模一次同仁給他一樣多我要告訴你資產價格是分布不均是因為基礎建設分配不均基礎建設分配不均要靠我們地方補助款來調節幫助地方財政發展我們才能改善城鄉的差距城鄉的差距不改善我們來看幾個數字你來看屏東這次稍微有增加增加的幅度最少 |
transcript.whisperx[27].start |
684.943 |
transcript.whisperx[27].end |
705.068 |
transcript.whisperx[27].text |
我們再往下看現在什麼少子化習台預估全國將有40所大學要關門院長你猜猜看要先關哪幾所我告訴你最先關的兩所都在屏東屏東的鄉親已經夠可憐了我們現在連大學都從非都開始關門我們再往下看 |
transcript.whisperx[28].start |
706.178 |
transcript.whisperx[28].end |
730.201 |
transcript.whisperx[28].text |
偏鄉哪裡有偏鄉屏東線三分之二的國中小屬於偏鄉的學校我們偏鄉的學校不是經費少而已喔連老師都留不住院長你為什麼認為我們偏鄉為什麼老師留不住你覺得呢什麼原因 薪水比較低嗎一個是地方的生活的條件以及他整個財政狀況可以資助的教育資源等等 |
transcript.whisperx[29].start |
731.846 |
transcript.whisperx[29].end |
754.544 |
transcript.whisperx[29].text |
生活機能不變生活機能不變取決於公共建設我們來看醫療資源我們的醫缺也是最大的破口今天沒有衛福部在我要告訴你目前台北市他的醫院的分佈跟我屏東天差地遠差距絕對不是台北市人口跟屏東人口的三倍四倍來取決什麼原因我們再告訴你 |
transcript.whisperx[30].start |
755.407 |
transcript.whisperx[30].end |
781.228 |
transcript.whisperx[30].text |
今天報紙上寫 蔣萬安市長宣布台北市的兒童 學童可以喝學童奶之前學童奶不是全國補助嗎 院長後來中央停掉了嘛 為什麼要全國補助我屏東付不起啊 要靠中央補助啊中央不補助 我就沒辦法喝了那為什麼台北可以喝你認為是不是台北比較有錢台北的財政狀況確實比較好 不是台北也不是因為他有錢台北是因為什麼 他發兌換券 |
transcript.whisperx[31].start |
783.186 |
transcript.whisperx[31].end |
807.384 |
transcript.whisperx[31].text |
學童可以拿著兌換券去7-11便利超商換我們之所以中央把學童奶停下來不是中央不願付這筆錢是因為我屏東沒有辦法冷面去支持每個學校的老師發給學生每天一瓶奶台北為什麼可以做到台北有7-11啊我滿洲鄉只有一個便利超商你叫我滿洲鄉的小孩你中央支持我學童奶的經費我也喝不到啊 |
transcript.whisperx[32].start |
809.262 |
transcript.whisperx[32].end |
837.294 |
transcript.whisperx[32].text |
所以當時農業部提過各地的不同狀況因地制宜有需要這方補助的農業部還是會設法那我覺得這個事情由地方來主辦會更貼近地方真正的情況你還是沒有了解我的問題今天台北市能發學童奶不是台北的財政特別好這只是原因之一台北有全國最便利的便利超商的分布命度最高台北市這種不用投資冷鏈他只要花錢給勸學童就會換到牛奶 |
transcript.whisperx[33].start |
837.774 |
transcript.whisperx[33].end |
852.563 |
transcript.whisperx[33].text |
我屏東縣就算你中央支持我錢我沒有辦法買冷鏈我的學童沒辦法在滿洲鄉唯一的便利超商換學童奶了解了沒有這就是城鄉發產差距對人民造成的不公平我們來看一下 |
transcript.whisperx[34].start |
853.854 |
transcript.whisperx[34].end |
875.527 |
transcript.whisperx[34].text |
我們在偏鄉地區如果財政得不到中央政府用一般性補助款來幫我們調節我們的教育人員沒有人要去我們的醫師沒有人要去我們的人民得不到教育跟醫療的一個普及化的服務就算你家籍再高因為生活技能差沒有便利超商他們不願意去怎麼辦必須從我們基礎的財政著手 |
transcript.whisperx[35].start |
876.226 |
transcript.whisperx[35].end |
893.924 |
transcript.whisperx[35].text |
所以非獨地區交通的子女安全問題無法改善財政收支劃分是不是要呼籲包括朝野各政黨不要自私站在台灣均衡發展的前提之下要不要給中央足夠的財力來解決城鄉發展不均各地方政府所覺得差異來補強是不是要這樣做 |
transcript.whisperx[36].start |
894.943 |
transcript.whisperx[36].end |
916.072 |
transcript.whisperx[36].text |
我們就是願意從這個角度來討論檢討這個財政收支發放法但新的財政收支發放法顯然無法達到委員剛剛所希望的那樣的一個調整所以院長你們要跟全國的人民講我們也會講但是我們任憑這個方式惡化下去之後台灣只會變成天堂更低的兩極化包括我們看一下這個問題 |
transcript.whisperx[37].start |
917.372 |
transcript.whisperx[37].end |
937.118 |
transcript.whisperx[37].text |
這個問題呢 請回去請財政部要求公股銀行要特別注意不要讓親親安貸款讓首購族被限貸令造成斷頭最後呢 我的結論 兩個請院長答應中央政府對地方的財政分媒補助應該改善呈現下去是不是要支持 院長 是不是是 要支持那是不是我們統計資訊請主席長改變我們的統計資訊發布貼近人民的需求 |
transcript.whisperx[38].start |
947.554 |
transcript.whisperx[38].end |
948.019 |
transcript.whisperx[38].text |
好 謝謝鍾嘉賓委員 |