IVOD_ID |
162027 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/162027 |
日期 |
2025-05-28 |
會議資料.會議代碼 |
委員會-11-3-15-22 |
會議資料.會議代碼:str |
第11屆第3會期內政委員會第22次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
22 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
15 |
會議資料.委員會代碼:str[0] |
內政委員會 |
會議資料.標題 |
第11屆第3會期內政委員會第22次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-05-28T11:42:14+08:00 |
結束時間 |
2025-05-28T11:52:11+08:00 |
影片長度 |
00:09:57 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/75aba70f567c6f24a563f78e75be59dad126c33bcaff1fd1a3426710e0a50eed065310c84e3566ad5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
張啓楷 |
委員發言時間 |
11:42:14 - 11:52:11 |
會議時間 |
2025-05-28T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期內政委員會第22次全體委員會議(事由:處理114年度中央政府總預算案有關行政院預算解凍案。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
20.02784375 |
transcript.pyannote[0].end |
20.88846875 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
21.32721875 |
transcript.pyannote[1].end |
21.86721875 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
26.87909375 |
transcript.pyannote[2].end |
27.55409375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
28.54971875 |
transcript.pyannote[3].end |
29.95034375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
30.45659375 |
transcript.pyannote[4].end |
32.26221875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
32.51534375 |
transcript.pyannote[5].end |
33.94971875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
34.54034375 |
transcript.pyannote[6].end |
36.19409375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
37.39221875 |
transcript.pyannote[7].end |
41.74596875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
42.42096875 |
transcript.pyannote[8].end |
43.78784375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
44.42909375 |
transcript.pyannote[9].end |
49.32284375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
51.09471875 |
transcript.pyannote[10].end |
51.61784375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
52.91721875 |
transcript.pyannote[11].end |
54.16596875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
54.50346875 |
transcript.pyannote[12].end |
57.77721875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
58.80659375 |
transcript.pyannote[13].end |
59.90346875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
58.84034375 |
transcript.pyannote[14].end |
59.85284375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
59.90346875 |
transcript.pyannote[15].end |
61.45596875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
61.97909375 |
transcript.pyannote[16].end |
63.31221875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
63.64971875 |
transcript.pyannote[17].end |
66.87284375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
67.22721875 |
transcript.pyannote[18].end |
72.55971875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
73.06596875 |
transcript.pyannote[19].end |
74.11221875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
75.00659375 |
transcript.pyannote[20].end |
75.95159375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
77.01471875 |
transcript.pyannote[21].end |
78.19596875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
78.63471875 |
transcript.pyannote[22].end |
79.83284375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
80.47409375 |
transcript.pyannote[23].end |
84.23721875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
84.65909375 |
transcript.pyannote[24].end |
91.61159375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
85.04721875 |
transcript.pyannote[25].end |
87.52784375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
92.59034375 |
transcript.pyannote[26].end |
93.87284375 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
94.85159375 |
transcript.pyannote[27].end |
95.79659375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
97.01159375 |
transcript.pyannote[28].end |
97.68659375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
98.27721875 |
transcript.pyannote[29].end |
98.91846875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
99.61034375 |
transcript.pyannote[30].end |
100.43721875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
101.28096875 |
transcript.pyannote[31].end |
103.17096875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
103.59284375 |
transcript.pyannote[32].end |
104.74034375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
105.44909375 |
transcript.pyannote[33].end |
106.86659375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
107.20409375 |
transcript.pyannote[34].end |
109.34721875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
109.63409375 |
transcript.pyannote[35].end |
110.62971875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
111.50721875 |
transcript.pyannote[36].end |
112.92471875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
114.22409375 |
transcript.pyannote[37].end |
115.38846875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
117.59909375 |
transcript.pyannote[38].end |
118.47659375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
119.40471875 |
transcript.pyannote[39].end |
121.53096875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
122.07096875 |
transcript.pyannote[40].end |
123.48846875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
123.70784375 |
transcript.pyannote[41].end |
124.51784375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
127.26846875 |
transcript.pyannote[42].end |
128.73659375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
129.86721875 |
transcript.pyannote[43].end |
133.30971875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
133.56284375 |
transcript.pyannote[44].end |
135.25034375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
140.68409375 |
transcript.pyannote[45].end |
141.96659375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
142.30409375 |
transcript.pyannote[46].end |
144.46409375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
145.35846875 |
transcript.pyannote[47].end |
146.77596875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
147.48471875 |
transcript.pyannote[48].end |
148.53096875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
149.22284375 |
transcript.pyannote[49].end |
151.23096875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
152.10846875 |
transcript.pyannote[50].end |
154.75784375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
155.46659375 |
transcript.pyannote[51].end |
158.85846875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
159.49971875 |
transcript.pyannote[52].end |
160.95096875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
161.52471875 |
transcript.pyannote[53].end |
163.90409375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
164.35971875 |
transcript.pyannote[54].end |
167.63346875 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
166.63784375 |
transcript.pyannote[55].end |
168.62909375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
168.62909375 |
transcript.pyannote[56].end |
179.93534375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
169.45596875 |
transcript.pyannote[57].end |
170.40096875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
170.68784375 |
transcript.pyannote[58].end |
170.83971875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
171.75096875 |
transcript.pyannote[59].end |
172.32471875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
180.25596875 |
transcript.pyannote[60].end |
181.38659375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
182.83784375 |
transcript.pyannote[61].end |
188.86221875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
182.87159375 |
transcript.pyannote[62].end |
183.39471875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
184.93034375 |
transcript.pyannote[63].end |
185.18346875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
185.74034375 |
transcript.pyannote[64].end |
186.97221875 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
189.09846875 |
transcript.pyannote[65].end |
190.90409375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
191.83221875 |
transcript.pyannote[66].end |
192.74346875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
193.14846875 |
transcript.pyannote[67].end |
194.41409375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
195.54471875 |
transcript.pyannote[68].end |
198.76784375 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
199.20659375 |
transcript.pyannote[69].end |
201.77159375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
202.41284375 |
transcript.pyannote[70].end |
204.53909375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
204.77534375 |
transcript.pyannote[71].end |
206.46284375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
206.66534375 |
transcript.pyannote[72].end |
206.86784375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
207.98159375 |
transcript.pyannote[73].end |
209.58471875 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
208.01534375 |
transcript.pyannote[74].end |
208.90971875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
210.05721875 |
transcript.pyannote[75].end |
213.24659375 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
213.60096875 |
transcript.pyannote[76].end |
214.56284375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
216.38534375 |
transcript.pyannote[77].end |
218.42721875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
218.54534375 |
transcript.pyannote[78].end |
219.55784375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
223.40534375 |
transcript.pyannote[79].end |
224.85659375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
225.63284375 |
transcript.pyannote[80].end |
226.76346875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
227.26971875 |
transcript.pyannote[81].end |
229.12596875 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
229.21034375 |
transcript.pyannote[82].end |
230.05409375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
231.58971875 |
transcript.pyannote[83].end |
233.98596875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
235.23471875 |
transcript.pyannote[84].end |
235.97721875 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
236.73659375 |
transcript.pyannote[85].end |
237.56346875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
239.13284375 |
transcript.pyannote[86].end |
239.85846875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
240.14534375 |
transcript.pyannote[87].end |
241.19159375 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
241.25909375 |
transcript.pyannote[88].end |
242.08596875 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
242.52471875 |
transcript.pyannote[89].end |
243.58784375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
244.11096875 |
transcript.pyannote[90].end |
245.95034375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
247.31721875 |
transcript.pyannote[91].end |
248.26221875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
249.30846875 |
transcript.pyannote[92].end |
250.67534375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
251.45159375 |
transcript.pyannote[93].end |
252.81846875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
253.59471875 |
transcript.pyannote[94].end |
255.92346875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
256.69971875 |
transcript.pyannote[95].end |
258.91034375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
261.91409375 |
transcript.pyannote[96].end |
263.87159375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
265.81221875 |
transcript.pyannote[97].end |
270.38534375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
270.72284375 |
transcript.pyannote[98].end |
274.67159375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
276.03846875 |
transcript.pyannote[99].end |
278.09721875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
280.30784375 |
transcript.pyannote[100].end |
282.43409375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
283.27784375 |
transcript.pyannote[101].end |
284.66159375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
285.84284375 |
transcript.pyannote[102].end |
286.77096875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
287.80034375 |
transcript.pyannote[103].end |
290.11221875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
290.63534375 |
transcript.pyannote[104].end |
292.91346875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
295.03971875 |
transcript.pyannote[105].end |
296.91284375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
297.21659375 |
transcript.pyannote[106].end |
297.95909375 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
299.79846875 |
transcript.pyannote[107].end |
300.42284375 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
300.59159375 |
transcript.pyannote[108].end |
301.06409375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
302.49846875 |
transcript.pyannote[109].end |
305.18159375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
306.37971875 |
transcript.pyannote[110].end |
307.00409375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
307.66221875 |
transcript.pyannote[111].end |
308.32034375 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
309.67034375 |
transcript.pyannote[112].end |
310.39596875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
312.30284375 |
transcript.pyannote[113].end |
313.90596875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
314.36159375 |
transcript.pyannote[114].end |
315.61034375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
316.63971875 |
transcript.pyannote[115].end |
317.92221875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
319.12034375 |
transcript.pyannote[116].end |
325.78596875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
326.12346875 |
transcript.pyannote[117].end |
327.16971875 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
327.86159375 |
transcript.pyannote[118].end |
328.03034375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
328.03034375 |
transcript.pyannote[119].end |
330.62909375 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
330.62909375 |
transcript.pyannote[120].end |
330.88221875 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
331.69221875 |
transcript.pyannote[121].end |
343.38659375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
344.14596875 |
transcript.pyannote[122].end |
345.12471875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
345.51284375 |
transcript.pyannote[123].end |
347.92596875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
348.55034375 |
transcript.pyannote[124].end |
352.53284375 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
350.11971875 |
transcript.pyannote[125].end |
350.94659375 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
351.21659375 |
transcript.pyannote[126].end |
351.68909375 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
353.49471875 |
transcript.pyannote[127].end |
360.19409375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
358.38846875 |
transcript.pyannote[128].end |
360.43034375 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
360.43034375 |
transcript.pyannote[129].end |
366.15096875 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
360.61596875 |
transcript.pyannote[130].end |
363.13034375 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
363.53534375 |
transcript.pyannote[131].end |
364.78409375 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
366.84284375 |
transcript.pyannote[132].end |
368.66534375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
369.39096875 |
transcript.pyannote[133].end |
370.75784375 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
372.24284375 |
transcript.pyannote[134].end |
376.98471875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
377.45721875 |
transcript.pyannote[135].end |
378.87471875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
379.21221875 |
transcript.pyannote[136].end |
380.15721875 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
381.11909375 |
transcript.pyannote[137].end |
383.70096875 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
384.19034375 |
transcript.pyannote[138].end |
389.01659375 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
388.27409375 |
transcript.pyannote[139].end |
388.98284375 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
389.01659375 |
transcript.pyannote[140].end |
389.37096875 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
389.37096875 |
transcript.pyannote[141].end |
389.42159375 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
389.42159375 |
transcript.pyannote[142].end |
389.67471875 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
389.67471875 |
transcript.pyannote[143].end |
389.74221875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
389.74221875 |
transcript.pyannote[144].end |
390.02909375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
390.02909375 |
transcript.pyannote[145].end |
390.16409375 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
390.16409375 |
transcript.pyannote[146].end |
390.19784375 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
390.19784375 |
transcript.pyannote[147].end |
395.36159375 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
393.28596875 |
transcript.pyannote[148].end |
393.42096875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
395.76659375 |
transcript.pyannote[149].end |
397.75784375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
399.51284375 |
transcript.pyannote[150].end |
407.44409375 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
400.01909375 |
transcript.pyannote[151].end |
403.19159375 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
410.80221875 |
transcript.pyannote[152].end |
411.69659375 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
412.70909375 |
transcript.pyannote[153].end |
414.37971875 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
415.93221875 |
transcript.pyannote[154].end |
416.32034375 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
417.16409375 |
transcript.pyannote[155].end |
418.69971875 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
419.35784375 |
transcript.pyannote[156].end |
421.97346875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
421.34909375 |
transcript.pyannote[157].end |
428.04846875 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
422.31096875 |
transcript.pyannote[158].end |
423.82971875 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
428.23409375 |
transcript.pyannote[159].end |
428.62221875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
429.02721875 |
transcript.pyannote[160].end |
432.73971875 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
433.53284375 |
transcript.pyannote[161].end |
435.50721875 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
435.59159375 |
transcript.pyannote[162].end |
435.97971875 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
437.38034375 |
transcript.pyannote[163].end |
437.80221875 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
439.05096875 |
transcript.pyannote[164].end |
442.07159375 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
439.74284375 |
transcript.pyannote[165].end |
449.00721875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
449.32784375 |
transcript.pyannote[166].end |
450.64409375 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
450.76221875 |
transcript.pyannote[167].end |
467.21534375 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
455.40284375 |
transcript.pyannote[168].end |
456.56721875 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
457.05659375 |
transcript.pyannote[169].end |
457.91721875 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
467.33346875 |
transcript.pyannote[170].end |
472.42971875 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
467.40096875 |
transcript.pyannote[171].end |
471.33284375 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
472.71659375 |
transcript.pyannote[172].end |
474.04971875 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
474.58971875 |
transcript.pyannote[173].end |
477.34034375 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
477.61034375 |
transcript.pyannote[174].end |
479.02784375 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
478.48784375 |
transcript.pyannote[175].end |
478.90971875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
479.02784375 |
transcript.pyannote[176].end |
487.41471875 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
487.80284375 |
transcript.pyannote[177].end |
491.09346875 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
488.08971875 |
transcript.pyannote[178].end |
489.35534375 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
492.40971875 |
transcript.pyannote[179].end |
497.53971875 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
492.67971875 |
transcript.pyannote[180].end |
492.81471875 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
497.94471875 |
transcript.pyannote[181].end |
499.24409375 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
499.71659375 |
transcript.pyannote[182].end |
502.73721875 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
503.36159375 |
transcript.pyannote[183].end |
511.68096875 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
512.22096875 |
transcript.pyannote[184].end |
515.05596875 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
512.28846875 |
transcript.pyannote[185].end |
512.86221875 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
515.91659375 |
transcript.pyannote[186].end |
519.64596875 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
519.78096875 |
transcript.pyannote[187].end |
521.13096875 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
521.56971875 |
transcript.pyannote[188].end |
522.90284375 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
525.29909375 |
transcript.pyannote[189].end |
526.12596875 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
526.53096875 |
transcript.pyannote[190].end |
528.50534375 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
528.67409375 |
transcript.pyannote[191].end |
530.04096875 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
528.70784375 |
transcript.pyannote[192].end |
530.02409375 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
530.04096875 |
transcript.pyannote[193].end |
535.40721875 |
transcript.pyannote[194].speaker |
SPEAKER_00 |
transcript.pyannote[194].start |
530.68221875 |
transcript.pyannote[194].end |
534.24284375 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
535.84596875 |
transcript.pyannote[195].end |
536.03159375 |
transcript.pyannote[196].speaker |
SPEAKER_00 |
transcript.pyannote[196].start |
536.03159375 |
transcript.pyannote[196].end |
538.00596875 |
transcript.pyannote[197].speaker |
SPEAKER_00 |
transcript.pyannote[197].start |
539.50784375 |
transcript.pyannote[197].end |
544.77284375 |
transcript.pyannote[198].speaker |
SPEAKER_00 |
transcript.pyannote[198].start |
544.97534375 |
transcript.pyannote[198].end |
549.88596875 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
545.39721875 |
transcript.pyannote[199].end |
546.74721875 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
546.91596875 |
transcript.pyannote[200].end |
548.31659375 |
transcript.pyannote[201].speaker |
SPEAKER_00 |
transcript.pyannote[201].start |
550.76346875 |
transcript.pyannote[201].end |
552.73784375 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
553.02471875 |
transcript.pyannote[202].end |
556.23096875 |
transcript.pyannote[203].speaker |
SPEAKER_00 |
transcript.pyannote[203].start |
557.02409375 |
transcript.pyannote[203].end |
559.03221875 |
transcript.pyannote[204].speaker |
SPEAKER_00 |
transcript.pyannote[204].start |
559.99409375 |
transcript.pyannote[204].end |
562.99784375 |
transcript.pyannote[205].speaker |
SPEAKER_00 |
transcript.pyannote[205].start |
564.36471875 |
transcript.pyannote[205].end |
568.73534375 |
transcript.pyannote[206].speaker |
SPEAKER_00 |
transcript.pyannote[206].start |
569.12346875 |
transcript.pyannote[206].end |
570.01784375 |
transcript.pyannote[207].speaker |
SPEAKER_00 |
transcript.pyannote[207].start |
571.67159375 |
transcript.pyannote[207].end |
572.21159375 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
574.00034375 |
transcript.pyannote[208].end |
574.40534375 |
transcript.pyannote[209].speaker |
SPEAKER_00 |
transcript.pyannote[209].start |
575.35034375 |
transcript.pyannote[209].end |
575.68784375 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
576.04221875 |
transcript.pyannote[210].end |
578.03346875 |
transcript.pyannote[211].speaker |
SPEAKER_00 |
transcript.pyannote[211].start |
578.10096875 |
transcript.pyannote[211].end |
581.50971875 |
transcript.pyannote[212].speaker |
SPEAKER_00 |
transcript.pyannote[212].start |
582.11721875 |
transcript.pyannote[212].end |
585.62721875 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
586.82534375 |
transcript.pyannote[213].end |
588.56346875 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
589.79534375 |
transcript.pyannote[214].end |
590.53784375 |
transcript.pyannote[215].speaker |
SPEAKER_00 |
transcript.pyannote[215].start |
590.67284375 |
transcript.pyannote[215].end |
592.64721875 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
592.93409375 |
transcript.pyannote[216].end |
595.51596875 |
transcript.whisperx[0].start |
20.026 |
transcript.whisperx[0].end |
22.207 |
transcript.whisperx[0].text |
請 秘書長秘書長張維豪這邊你們刪了 砍了這個地方的補助款不只是違法亂七根本就是不顧人民的死活秘書長你應該知道嘛你現在砍掉是什麼預算這地方補助款是什麼事社會福利預算欸照顧最弱勢的長輩跟小孩 |
transcript.whisperx[1].start |
51.141 |
transcript.whisperx[1].end |
73.931 |
transcript.whisperx[1].text |
教育地方的基礎建設有些甚至是救命錢你們怎麼砍得下手呢636的空白就不會發生這樣的事636為什麼是空白你剛才說636沒辦法砍沒辦法捅山這裡面有兩個很重要的原則我覺得你們一直在扭曲一直在造謠我先給你一個個案 |
transcript.whisperx[2].start |
77.087 |
transcript.whisperx[2].end |
99.873 |
transcript.whisperx[2].text |
636自行調整這個在第一年來通商的預算要行政院自己調整每年都有嘛對不對第一個每年都有這是第一個原則第二個你們在喊636你們沒辦法處理我給你一個可以處理的案子同樣是民進黨執政2002年總統什麼人陳水北嘛行政議長 |
transcript.whisperx[3].start |
101.591 |
transcript.whisperx[3].end |
115.16 |
transcript.whisperx[3].text |
張慶雄 同樣是民進黨執政那一年要行政院去自行調整要刪掉多少錢 658億比例的636更加多耶那一年有沒有調整好那一年解決啦為什麼陳水扁可以賴清德不行為什麼張慶雄可以處理 總統他不行你們根本就是違法亂計啊 |
transcript.whisperx[4].start |
129.912 |
transcript.whisperx[4].end |
134.877 |
transcript.whisperx[4].text |
第一個每一年都有通商要你自行調整第二個你的金額也不是最大的現在更可惡的你們還去砍那個跟人民最有關係的上次我已經罵你們罵一頓了你們在砍勞工的退休金 |
transcript.whisperx[5].start |
152.145 |
transcript.whisperx[5].end |
179.105 |
transcript.whisperx[5].text |
靠從罕見疾病健保的這個錢我說你們從政久了什麼心變硬變黑了是不是你那天我就跟你們講人民相關的錢一碼錢都不能砍你要砍那時候從你們特別費開始嘛先砍自己的啊特別費是零了對啊特別費我那時候就講你們人民的事情不重視你們砍人民的錢從你們開始嘛所以我那天我就主張特別費從總統一直到行政院長到部委首長錢砍嘛後來很客氣啊 |
transcript.whisperx[6].start |
182.918 |
transcript.whisperx[6].end |
206.236 |
transcript.whisperx[6].text |
有些砍了全部 有些砍了六成而已你們做不完 憑什麼頂頭白皮拿這個錢去請客啊 送禮啊當然要砍啊 這一天更加生氣了那時候砍什麼勞退的這個錢現在弄到砍的是社福的預算 你們怎麼砍得下去啊你們有沒有天良 有沒有良心啊 |
transcript.whisperx[7].start |
208.049 |
transcript.whisperx[7].end |
214.531 |
transcript.whisperx[7].text |
好啦,我已經很清楚跟你講了回去跟總統跟行政院長講以前的陳水扁可以做張建雄可以處理,憑什麼中泰跟賴清德處理不來那你說找不到錢,我幫你找錢你當過國發會主委國發基金農會要落鹹中,那你怎麼沒錢國發基金去投資聯合再生虧損多少八四了啦 |
transcript.whisperx[8].start |
239.192 |
transcript.whisperx[8].end |
257.203 |
transcript.whisperx[8].text |
投資了如新牛仔褲虧損多少?12.38千載交通一來一去啦現在怎麼沒錢?更何況你今年還是歷年來卻薪高的將近三兆的預算欸你們很窮你們砍那個最弱勢的地方政府接下來我要跟你談違法亂紀在哪裡? |
transcript.whisperx[9].start |
266.088 |
transcript.whisperx[9].end |
274.611 |
transcript.whisperx[9].text |
這是明明先過我剛剛已經跟你開宗明義講了以前有例子你們本來就要解決問題你們不解決結果現在砍了人民救命錢我們在審查預算的時候看下一張要你去通刪歷年來都這樣嘛不只今年你去翻以前要通刪的通案刪減的按鈕刪的是誰中央各機關及所屬 |
transcript.whisperx[10].start |
295.094 |
transcript.whisperx[10].end |
317.4 |
transcript.whisperx[10].text |
你到底有沒有看到有地方補助這是第一個第二個地方補助款我們省的時候一毛錢也沒有刪啊第三個才化法三十條不能比上一年度減少你三個都違反了耶第四個也是很離譜的 |
transcript.whisperx[11].start |
319.178 |
transcript.whisperx[11].end |
335.573 |
transcript.whisperx[11].text |
地方補助款你在前一年的八月份你就要通知他對不對你做國會主席要顧這必須定 背後對不對前一年八月你跟人家講各個縣市已經編好了經過各個地方議會通過了因為立法院刪掉了我們也沒辦法 |
transcript.whisperx[12].start |
336.212 |
transcript.whisperx[12].end |
343.276 |
transcript.whisperx[12].text |
你為什麼一直在扣這個立法院刪掉立法院從法內傳一層面要刪的是中央政府跟手指的各機關更明確的補助款一毛錢沒有砍對不對第三個財務法還有那條線在那邊你怎麼會講是立法院砍的 |
transcript.whisperx[13].start |
353.557 |
transcript.whisperx[13].end |
358.86 |
transcript.whisperx[13].text |
而且就不能砍這一筆嘛你要砍的我剛剛跟你講啦上次我跟你講砍特別費砍了嘛對不對今天我就更明確跟你講國發基金浪費的錢這是為什麼要砍這636第一個膨脹太多嘛 |
transcript.whisperx[14].start |
372.558 |
transcript.whisperx[14].end |
393.575 |
transcript.whisperx[14].text |
歷史有史以來最高的 你比去年一下子膨脹了8.2%地市突破3兆耶 當然要砍啊而且浪費那麼多 避孕那麼多你應該是從你的國發基金浪費的地方去砍嘛你怎麼砍人民咧 砍地方政府咧國發基金的預算很少 沒有636億沒有636億 對啊 你現在最少也一兩百億可以做對不對浪費我剛剛已經練了100多億給你聽了吧 |
transcript.whisperx[15].start |
399.734 |
transcript.whisperx[15].end |
404.135 |
transcript.whisperx[15].text |
我們需要稅出預算那636為什麼2002年張建雄可以找得到你們找不到我們也很無奈要回去找不是無奈你回答我從政的初衷是什麼你為什麼會給2500億給地方政府原先的預算就是要支持地方政府 |
transcript.whisperx[16].start |
429.096 |
transcript.whisperx[16].end |
454.796 |
transcript.whisperx[16].text |
但是有了636這樣的空盤預算我們其他的已經已經砍掉了1400多億所以所以這個也是為什麼我講無奈的立法院很清楚當初為什麼要這個通案的刪減我告訴你有史以來都有2002年還比你多那為什麼要這樣刪第一個你膨脹太快第二個你有浪費跟弊案嘛我今天都很明確跟你講國發基金是其中一部分嘛 |
transcript.whisperx[17].start |
456.197 |
transcript.whisperx[17].end |
473.69 |
transcript.whisperx[17].text |
2002年他也去找到錢嘛你有潛力可行聽聽我講你有潛力可行你要走正道啊你怎麼反而回過頭去砍那個罪不應該砍的不只是違法喔你現在摸著良心講立定你摸著良心講你現在砍的那個地方補助社福的預算 |
transcript.whisperx[18].start |
474.631 |
transcript.whisperx[18].end |
490.621 |
transcript.whisperx[18].text |
你這樣怎麼對得起那些長輩 對得起那些小孩教育的費用耶 地方建設的基礎建設耶二十幾年來只有2002年跟今年發生而已表示這種狀況 它是不尋常的不尋常 那為什麼2002年可以解決為什麼你沒辦法解決 |
transcript.whisperx[19].start |
493.162 |
transcript.whisperx[19].end |
514.779 |
transcript.whisperx[19].text |
你給主計長來報告你們提出的某些解決方案啊不是完全不行欸最重要是你浪費了你的弊案你要處理嘛現在這兩個大問題你自己沒有反省去解決真的要砍掉浪費跟弊案的錢第二個你去砍的最不應該砍的錢嘛不知道你摸著良心你砍的是人家 |
transcript.whisperx[20].start |
516.616 |
transcript.whisperx[20].end |
537.223 |
transcript.whisperx[20].text |
攸關他們說長輩跟年輕人 社福的預算欸 教育的預算欸基礎建設的預算欸 你怎麼可以砍這筆預算咧我們也很無奈你無奈 你要去解決問題嘛 對不對回到初期 如果各地方政府有需要的時候 我們會協助各地方政府如果有需要 我們會協助 |
transcript.whisperx[21].start |
539.637 |
transcript.whisperx[21].end |
562.543 |
transcript.whisperx[21].text |
學術 這個是在法定上應該給的錢嘛你們不應該砍就還給人家啊 什麼叫學術人家現在就告你們了嘛現在連蔣萬安都說提行政訴訟嘛 對不對立委都當場都檢舉了嘛我們克扣稅 克扣稅嘛 我們就追究你們責任好啦 秘書長 我做一個結論啦人在公門好休閒 今天包括主席總署 |
transcript.whisperx[22].start |
564.417 |
transcript.whisperx[22].end |
569.821 |
transcript.whisperx[22].text |
你說租界主計長是新來的 為台南起來你們主計總署都這麼資深 那麼優雅的官員對不對你們去看看以前的個案怎麼處理的每一年的通商都可以處理 2002年可以處理你們主計長如果是新來的 你們有資深的 你們要幫他解決問題啊我做一個結論啦 回到初心 |
transcript.whisperx[23].start |
589.841 |
transcript.whisperx[23].end |
595.082 |
transcript.whisperx[23].text |
回到初心 人在公門好修行不要違法亂紀 更不要對不起人民 謝謝 |