IVOD_ID |
159906 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159906 |
日期 |
2025-04-07 |
會議資料.會議代碼 |
委員會-11-3-15-8 |
會議資料.會議代碼:str |
第11屆第3會期內政委員會第8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 |
8 |
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8次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-04-07T12:17:43+08:00 |
結束時間 |
2025-04-07T12:27:56+08:00 |
影片長度 |
00:10:13 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/c41b1a0504d137e547573096b68da9f45410e0cc1efc9f3076318e8f2386bd9820552088245ce1945ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
張啓楷 |
委員發言時間 |
12:17:43 - 12:27:56 |
會議時間 |
2025-04-07T09:00:00+08:00 |
會議名稱 |
(變更議程)立法院第11屆第3會期內政委員會第8次全體委員會議(事由:邀請內政部部長、交通部就「市區道路品質改善計畫執行效益與檢討」進行專題報告,並備質詢。
【本次議案係114年度內政部國土管理署及所屬「生活圈道路交通系統建設計畫(市區道路)」業務費預算解凍條件之檢討改善專案報告】) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
7.96221875 |
transcript.pyannote[0].end |
9.51471875 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
9.93659375 |
transcript.pyannote[1].end |
10.02096875 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
10.02096875 |
transcript.pyannote[2].end |
10.08846875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
10.08846875 |
transcript.pyannote[3].end |
10.42596875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
10.42596875 |
transcript.pyannote[4].end |
10.45971875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
10.45971875 |
transcript.pyannote[5].end |
10.49346875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
10.49346875 |
transcript.pyannote[6].end |
10.51034375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
18.76221875 |
transcript.pyannote[7].end |
19.58909375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
18.91409375 |
transcript.pyannote[8].end |
19.42034375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
19.97721875 |
transcript.pyannote[9].end |
22.03596875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
22.64346875 |
transcript.pyannote[10].end |
24.07784375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
24.73596875 |
transcript.pyannote[11].end |
26.42346875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
27.31784375 |
transcript.pyannote[12].end |
29.02221875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
29.84909375 |
transcript.pyannote[13].end |
35.55284375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
36.54846875 |
transcript.pyannote[14].end |
39.06284375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
40.12596875 |
transcript.pyannote[15].end |
41.18909375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
41.89784375 |
transcript.pyannote[16].end |
42.89346875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
43.70346875 |
transcript.pyannote[17].end |
46.04909375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
47.56784375 |
transcript.pyannote[18].end |
49.98096875 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
49.28909375 |
transcript.pyannote[19].end |
56.14034375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
54.25034375 |
transcript.pyannote[20].end |
56.19096875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
56.27534375 |
transcript.pyannote[21].end |
63.98721875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
56.44409375 |
transcript.pyannote[22].end |
60.62909375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
64.66221875 |
transcript.pyannote[23].end |
66.18096875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
66.88971875 |
transcript.pyannote[24].end |
68.69534375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
68.37471875 |
transcript.pyannote[25].end |
69.55596875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
69.80909375 |
transcript.pyannote[26].end |
73.63971875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
72.74534375 |
transcript.pyannote[27].end |
73.20096875 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
73.75784375 |
transcript.pyannote[28].end |
84.87846875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
80.64284375 |
transcript.pyannote[29].end |
80.98034375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
85.16534375 |
transcript.pyannote[30].end |
97.97346875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
98.27721875 |
transcript.pyannote[31].end |
109.60034375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
109.60034375 |
transcript.pyannote[32].end |
110.98409375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
111.33846875 |
transcript.pyannote[33].end |
112.62096875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
112.43534375 |
transcript.pyannote[34].end |
121.17659375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
122.25659375 |
transcript.pyannote[35].end |
125.93534375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
125.76659375 |
transcript.pyannote[36].end |
149.79659375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
127.74096875 |
transcript.pyannote[37].end |
129.10784375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
150.45471875 |
transcript.pyannote[38].end |
155.58471875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
154.67346875 |
transcript.pyannote[39].end |
155.56784375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
155.58471875 |
transcript.pyannote[40].end |
161.01846875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
159.21284375 |
transcript.pyannote[41].end |
162.28409375 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
162.62159375 |
transcript.pyannote[42].end |
168.91596875 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
169.55721875 |
transcript.pyannote[43].end |
177.65721875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
178.26471875 |
transcript.pyannote[44].end |
178.41659375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
178.61909375 |
transcript.pyannote[45].end |
184.35659375 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
182.63534375 |
transcript.pyannote[46].end |
184.28909375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
184.60971875 |
transcript.pyannote[47].end |
184.96409375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
185.26784375 |
transcript.pyannote[48].end |
186.46596875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
187.49534375 |
transcript.pyannote[49].end |
187.78221875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
188.18721875 |
transcript.pyannote[50].end |
191.52846875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
192.11909375 |
transcript.pyannote[51].end |
196.25346875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
196.55721875 |
transcript.pyannote[52].end |
201.88971875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
202.46346875 |
transcript.pyannote[53].end |
204.47159375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
204.99471875 |
transcript.pyannote[54].end |
207.18846875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
208.20096875 |
transcript.pyannote[55].end |
209.06159375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
209.88846875 |
transcript.pyannote[56].end |
211.52534375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
212.33534375 |
transcript.pyannote[57].end |
216.18284375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
216.77346875 |
transcript.pyannote[58].end |
221.02596875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
221.93721875 |
transcript.pyannote[59].end |
234.03659375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
234.93096875 |
transcript.pyannote[60].end |
240.38159375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
241.12409375 |
transcript.pyannote[61].end |
242.05221875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
242.76096875 |
transcript.pyannote[62].end |
244.02659375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
244.60034375 |
transcript.pyannote[63].end |
246.22034375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
246.82784375 |
transcript.pyannote[64].end |
249.13971875 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
249.51096875 |
transcript.pyannote[65].end |
252.02534375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
252.53159375 |
transcript.pyannote[66].end |
253.20659375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
253.56096875 |
transcript.pyannote[67].end |
254.87721875 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
255.90659375 |
transcript.pyannote[68].end |
258.45471875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
258.87659375 |
transcript.pyannote[69].end |
260.59784375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
260.64846875 |
transcript.pyannote[70].end |
261.52596875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
262.20096875 |
transcript.pyannote[71].end |
262.90971875 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
264.31034375 |
transcript.pyannote[72].end |
264.85034375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
266.53784375 |
transcript.pyannote[73].end |
267.21284375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
268.29284375 |
transcript.pyannote[74].end |
269.50784375 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
270.03096875 |
transcript.pyannote[75].end |
275.39721875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
276.12284375 |
transcript.pyannote[76].end |
281.33721875 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
282.01221875 |
transcript.pyannote[77].end |
285.03284375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
286.06221875 |
transcript.pyannote[78].end |
286.55159375 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
288.42471875 |
transcript.pyannote[79].end |
349.30971875 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
289.50471875 |
transcript.pyannote[80].end |
290.48346875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
331.99596875 |
transcript.pyannote[81].end |
332.14784375 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
349.37721875 |
transcript.pyannote[82].end |
349.79909375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
349.96784375 |
transcript.pyannote[83].end |
371.23034375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
371.92221875 |
transcript.pyannote[84].end |
376.66409375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
375.49971875 |
transcript.pyannote[85].end |
377.08596875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
377.08596875 |
transcript.pyannote[86].end |
377.11971875 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
377.11971875 |
transcript.pyannote[87].end |
377.15346875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
377.15346875 |
transcript.pyannote[88].end |
377.18721875 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
377.18721875 |
transcript.pyannote[89].end |
377.20409375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
377.20409375 |
transcript.pyannote[90].end |
377.25471875 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
377.25471875 |
transcript.pyannote[91].end |
377.27159375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
377.27159375 |
transcript.pyannote[92].end |
377.28846875 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
377.28846875 |
transcript.pyannote[93].end |
416.70846875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
377.30534375 |
transcript.pyannote[94].end |
379.24596875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
416.70846875 |
transcript.pyannote[95].end |
417.13034375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
417.94034375 |
transcript.pyannote[96].end |
417.99096875 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
417.99096875 |
transcript.pyannote[97].end |
418.00784375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
418.00784375 |
transcript.pyannote[98].end |
420.33659375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
420.64034375 |
transcript.pyannote[99].end |
426.27659375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
420.75846875 |
transcript.pyannote[100].end |
421.01159375 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
421.11284375 |
transcript.pyannote[101].end |
424.62284375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
427.32284375 |
transcript.pyannote[102].end |
428.36909375 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
428.89221875 |
transcript.pyannote[103].end |
431.05221875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
430.73159375 |
transcript.pyannote[104].end |
432.40221875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
432.40221875 |
transcript.pyannote[105].end |
437.85284375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
436.87409375 |
transcript.pyannote[106].end |
442.24034375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
440.41784375 |
transcript.pyannote[107].end |
441.83534375 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
442.76346875 |
transcript.pyannote[108].end |
448.31534375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
449.46284375 |
transcript.pyannote[109].end |
449.91846875 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
450.49221875 |
transcript.pyannote[110].end |
459.48659375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
459.92534375 |
transcript.pyannote[111].end |
460.43159375 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
460.43159375 |
transcript.pyannote[112].end |
460.44846875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
460.44846875 |
transcript.pyannote[113].end |
460.48221875 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
460.48221875 |
transcript.pyannote[114].end |
477.39096875 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
460.65096875 |
transcript.pyannote[115].end |
460.75221875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
465.10596875 |
transcript.pyannote[116].end |
465.73034375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
469.27409375 |
transcript.pyannote[117].end |
473.02034375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
473.08784375 |
transcript.pyannote[118].end |
473.13846875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
473.17221875 |
transcript.pyannote[119].end |
474.11721875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
477.45846875 |
transcript.pyannote[120].end |
477.91409375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
478.62284375 |
transcript.pyannote[121].end |
480.63096875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
480.81659375 |
transcript.pyannote[122].end |
486.16596875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
486.31784375 |
transcript.pyannote[123].end |
487.48221875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
487.76909375 |
transcript.pyannote[124].end |
487.78596875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
487.78596875 |
transcript.pyannote[125].end |
494.45159375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
493.91159375 |
transcript.pyannote[126].end |
500.64471875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
499.88534375 |
transcript.pyannote[127].end |
504.47534375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
504.94784375 |
transcript.pyannote[128].end |
510.44909375 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
510.87096875 |
transcript.pyannote[129].end |
511.71471875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
512.38971875 |
transcript.pyannote[130].end |
514.41471875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
512.47409375 |
transcript.pyannote[131].end |
513.36846875 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
513.58784375 |
transcript.pyannote[132].end |
527.39159375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
527.61096875 |
transcript.pyannote[133].end |
531.82971875 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
529.34909375 |
transcript.pyannote[134].end |
530.20971875 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
530.36159375 |
transcript.pyannote[135].end |
531.67784375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
531.82971875 |
transcript.pyannote[136].end |
531.91409375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
531.91409375 |
transcript.pyannote[137].end |
531.96471875 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
531.96471875 |
transcript.pyannote[138].end |
539.89596875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
535.86284375 |
transcript.pyannote[139].end |
536.53784375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
536.90909375 |
transcript.pyannote[140].end |
538.96784375 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
539.89596875 |
transcript.pyannote[141].end |
539.94659375 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
539.94659375 |
transcript.pyannote[142].end |
540.03096875 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
540.03096875 |
transcript.pyannote[143].end |
540.62159375 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
541.24596875 |
transcript.pyannote[144].end |
544.19909375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
545.97096875 |
transcript.pyannote[145].end |
546.29159375 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
547.05096875 |
transcript.pyannote[146].end |
548.70471875 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
547.77659375 |
transcript.pyannote[147].end |
553.32846875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
549.00846875 |
transcript.pyannote[148].end |
554.03721875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
554.40846875 |
transcript.pyannote[149].end |
566.55846875 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
567.01409375 |
transcript.pyannote[150].end |
568.73534375 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
569.20784375 |
transcript.pyannote[151].end |
571.18221875 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
572.00909375 |
transcript.pyannote[152].end |
574.35471875 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
575.23221875 |
transcript.pyannote[153].end |
579.82221875 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
580.02471875 |
transcript.pyannote[154].end |
581.29034375 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
582.13409375 |
transcript.pyannote[155].end |
586.42034375 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
587.53409375 |
transcript.pyannote[156].end |
590.33534375 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
591.06096875 |
transcript.pyannote[157].end |
593.87909375 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
594.26721875 |
transcript.pyannote[158].end |
595.11096875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
595.48221875 |
transcript.pyannote[159].end |
595.78596875 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
596.15721875 |
transcript.pyannote[160].end |
596.37659375 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
597.05159375 |
transcript.pyannote[161].end |
597.32159375 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
599.86971875 |
transcript.pyannote[162].end |
600.19034375 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
600.35909375 |
transcript.pyannote[163].end |
607.61534375 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
608.12159375 |
transcript.pyannote[164].end |
612.96471875 |
transcript.whisperx[0].start |
7.961 |
transcript.whisperx[0].end |
10.242 |
transcript.whisperx[0].text |
現在全民都團結不分朝野都在應對川普關稅的這個核彈可是我發現好像民進黨一直在造謠當中 |
transcript.whisperx[1].start |
36.581 |
transcript.whisperx[1].end |
65.068 |
transcript.whisperx[1].text |
我看你禮拜三月三三吧還在講這個租租的這個補貼被凍結了兩百億啊大徐議員也問你你為什麼還在拗這個題目還在照樣報告委員我剛講得非常的清楚您可以去看一下包括行政院所公布的或者是立法院所公布的部分所有的在野黨所有立法委員這是有不不不你拿出來給我看有任何一個立法委員提案凍結了你兩百億的這個 |
transcript.whisperx[2].start |
66.963 |
transcript.whisperx[2].end |
89.237 |
transcript.whisperx[2].text |
租補貼的錢嗎拿出來給我看報告委員我已經講過了在行政院有一筆預算400億那個是我們內政部要求要擴大租金補貼由去年的50萬戶增加到75萬戶所以這個是新撥補的要有200億元到內政部然後內政部呢在給國土管理署的部分的話在台灣民眾黨裡面所說的30%動10%41.4億的部分 |
transcript.whisperx[3].start |
93.9 |
transcript.whisperx[3].end |
112.703 |
transcript.whisperx[3].text |
那是內政部國督署,但是我現在所指的是行政院給內政部的200億的租金補貼叫擴大租金補貼跟新設宅的部分這也在我們那個卓院長的報告裡面有提到有啊對啊,你拿出來看看,有任何一個立委提了凍結200億嗎報告委員,在立法院的三讀通過的過程當中就是有兩個黨團舉手然後刪掉的 |
transcript.whisperx[4].start |
122.318 |
transcript.whisperx[4].end |
147.175 |
transcript.whisperx[4].text |
沒有這個提案啊 有嗎 凍結的部分 凍結你拿出來給我看有嗎 中央政府總預算我唸一下可以嗎 您方便嘛中央政府總預算增加2806億那裡面的擴大租金補貼跟新設宅是有200億元也就是說如果114年的中央政府總預算沒有通過的話這個是屬於新增的那行政院就沒有辦法撥補給我們200億給我們的住宅基金 報告委員 |
transcript.whisperx[5].start |
150.492 |
transcript.whisperx[5].end |
175.203 |
transcript.whisperx[5].text |
沒有人提案去凍結這200億啊任何一筆都沒有在立法院的三讀通過我是以三讀通過為準所以我有跟委員解釋你把它換成它所有新興的嘛對不對就沒有人砍掉這筆不是不是換成它本來就是新的預算它不是延續性的預算沒有人任何提案去砍了你說的這2000多億嘛更沒有講你說的這200億啊有嗎你提任那個案子給我看啊 |
transcript.whisperx[6].start |
178.688 |
transcript.whisperx[6].end |
203.506 |
transcript.whisperx[6].text |
你這個是完全擴大而且是扭曲的跟住宅補貼有關係真正有過提案的就是上個禮拜上次我們有講過嗎有幾個關鍵啊第一個他已經排除就沒有砍任何一毛錢租屋的這個補貼對不對這上次我清清楚楚給你看有你有看到我們的提案嗎這是第一例第二關鍵字就是說他一下增加了105%去年是編202億對不對 |
transcript.whisperx[7].start |
208.257 |
transcript.whisperx[7].end |
220.905 |
transcript.whisperx[7].text |
今年變多少?414億欸更重要的來來我們來上一下小學的這個數學好不好你在講說被動了錢動了40億所以沒幾個人贏對不對你已經增加了一倍414億刪了2.73這2.73還已經排除喔不包括租屋補貼喔好終究是刪完之後動了1%40億 |
transcript.whisperx[8].start |
234.98 |
transcript.whisperx[8].end |
262.494 |
transcript.whisperx[8].text |
你一年我已經問過你了 我還閒聞去你內政部喔 去國土署門喔你的租屋補貼一年是多少3870支事實上到目前為止 今年搞不好還花不到372啊你到11月底到12月錢都夠用啊所以三個關鍵 第一個已經排除沒有刪 對不對第二你增加了兩倍之後你剩下的錢終究動了10%你都足夠用到12月底啊怎麼會有問題 |
transcript.whisperx[9].start |
264.369 |
transcript.whisperx[9].end |
284.115 |
transcript.whisperx[9].text |
是不是這樣這個數學本來應該看得到嘛對不對你的錢就44億了啊你變成這個預算清清楚楚啊砍掉了273已經排除喔雖然被砍排除喔你還剩下372億是不是你需要的你今年就372啊有夠啊怎麼也沒夠錢是不是這樣 |
transcript.whisperx[10].start |
289.102 |
transcript.whisperx[10].end |
293.743 |
transcript.whisperx[10].text |
我要回答嗎報告委員我再把它原來的程序跟委員很簡單報告一下請你給我30秒就好了我們在8月29號去年8月29號的時候有個預算案送到立法院裡面去那國土管理業務的編列預算是414億6726萬2000元裡面含撥補住宅基金400億元 |
transcript.whisperx[11].start |
313.848 |
transcript.whisperx[11].end |
337.098 |
transcript.whisperx[11].text |
這個所謂的撥補住宅基金的400億元不是我內政部給國土署而是行政院要給內政部這個沒有錯吧好那113年的住宅基金的撥補只有200億所以我們希望行政院呢要能夠給我們400億也就是說我們需要增加200億的這個錢那如果沒有的話只能動資原來的200億多分200億200億所以大家都會混混混 |
transcript.whisperx[12].start |
338.379 |
transcript.whisperx[12].end |
344.787 |
transcript.whisperx[12].text |
混在一起然後在總統公佈總預算案的時候總統公佈預算案為法定預算的時候呢我們的撥補200億才能動之那所以這個院會表決的過程當中裡面包括有凍結要給致用的預算 |
transcript.whisperx[13].start |
357.142 |
transcript.whisperx[13].end |
366.776 |
transcript.whisperx[13].text |
我現在所說的就是我們的中央政府總預算也就是我們那個行政院卓院長在提到的中央政府總預算增加了2806億裡面有一部分叫擴大租金補貼是200億我現在講的是這個部分 |
transcript.whisperx[14].start |
372.134 |
transcript.whisperx[14].end |
401.278 |
transcript.whisperx[14].text |
這部分有任何人砍了他嗎沒有而且這是完全扭曲的啊這是現在可以用嗎現在可以用嗎報告委員現在我們全部的捅山捅洞的部分是303億那立法院要求行政院自己去處理各部會要刪減的部分有636億這個636億到目前為止不管是立法院有沒有跟行政院溝通或說明好目前為止都是未定案 |
transcript.whisperx[15].start |
401.778 |
transcript.whisperx[15].end |
424.88 |
transcript.whisperx[15].text |
那既然目前為止是未定案的話我們的部會是在行政院全部統籌之下當然都是未定數所以未來的租金補貼是不是真正能夠撥補到兩百億我們也是有一個問號請委員多指教你說你新增兩千八百零六億後來後來不是我們是整個行政院兩千八百多對不對這是砍了多少錢 |
transcript.whisperx[16].start |
427.386 |
transcript.whisperx[16].end |
444.912 |
transcript.whisperx[16].text |
全部的山形了多少939億左右你說的是桶山嘛對不對不是不是桶山抱歉桶山桶洞的部分我們都處理好了叫做303億整體三讀之後這是104年的整個因為就我的理解20002075嘛那裡面還扣掉1000億的台電對不對是青蛙嘛對不對 |
transcript.whisperx[17].start |
449.5 |
transcript.whisperx[17].end |
476.277 |
transcript.whisperx[17].text |
跟這個也不是全部砍這個金額啊從全部砍這個金額這裡面還剩下很多啊第二個是你清水 清果剛剛講的啊你說的是統商部分939嘛對不對統商不是939就是一定要處理掉的939統商的是303億還有636億可能要分散到各部會去那怎麼樣分散到各部會去行政院還沒有從立法院這邊得到一個正確的數字所以我們有一點不太敢輕舉妄動 |
transcript.whisperx[18].start |
478.68 |
transcript.whisperx[18].end |
503.394 |
transcript.whisperx[18].text |
第一個這樣很牽強啊因為你只有630你636跟2800多這是幾分之幾絕大部分都可以用吧報告委員因為我不是在行政院的這個層級我只回應我的內政部可以處理到的部分我知道這第一點嘛第一點我現在跟你說我剛剛就算給你看你的金額是夠的嘛對不對第二個這個提案你知道因為到目前為止登記租金補貼的大概已經有70萬戶以上 |
transcript.whisperx[19].start |
505.337 |
transcript.whisperx[19].end |
527.028 |
transcript.whisperx[19].text |
對 保證還有一個大問題提案裡面還有一個很重要的你三個月內你要提 我上面有問你了對不對你要趕快提啊報告委員我們今天在程序提出來的時候已經有提到了今天算是業務報告不算是解凍報告而且那裡面有提到的是專案報告這個專案報告要立法院依照程序交辦下來才有可能處理 |
transcript.whisperx[20].start |
528.149 |
transcript.whisperx[20].end |
542.942 |
transcript.whisperx[20].text |
所以我們提案裡面就要你三個月提嘛立法院的院會立法院的院會不是內政委員會我們內政委員會的委員今天都非常的清楚我們今天的報告事項是以報告業務為主議會只是交給委員會來審對不對對嘛 |
transcript.whisperx[21].start |
547.079 |
transcript.whisperx[21].end |
568.168 |
transcript.whisperx[21].text |
我尊重立法院的各項程序處理我們尊重立法院的各項程序處理上次連那個主席都有跟你解釋過了嘛那我們提案裡面很清楚你就三個月就趕快提嘛好我歸納一下我們歸納拜託這個事情不要再有誤會因為這牽扯到很多人的權益啊朱補貼多少人阿歐代普在等你現在要害怕事實上第一個關鍵是什麼沒有刪掉他任何一筆錢對不對 第一你三個月你本來就要提解凍嘛 |
transcript.whisperx[22].start |
575.287 |
transcript.whisperx[22].end |
595.622 |
transcript.whisperx[22].text |
我上次要提醒你 除了賴清德以前公司的那一筆凍結到的格點才給凍結案沒有不夠的啦你趕快提 三個月時間都已經到了第三個我今天還進一步用數學給你看你凍結到10%拿掉 你的錢還是夠的怎麼可以不花錢或者是讓人家覺得有恐懼感呢趕快解決問題啦 好不好OK |
transcript.whisperx[23].start |
600.404 |
transcript.whisperx[23].end |
606.329 |
transcript.whisperx[23].text |
不要再讓那個要十五補貼的人有沒有擔心主席上次已經講了盡快因為排給我們就趕快審好不好好謝謝張祺凱委員的質詢這我們再補充說明一下謝謝 |