IVOD_ID |
159912 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159912 |
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 |
2025-04-07T09:54:17+08:00 |
結束時間 |
2025-04-07T10:03:29+08:00 |
影片長度 |
00:09:12 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/c41b1a0504d137e505b30df053a4d9735410e0cc1efc9f3076318e8f2386bd98f952555c339954dd5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
王美惠 |
委員發言時間 |
09:54:17 - 10:03:29 |
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_01 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
1.02659375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
2.03909375 |
transcript.pyannote[1].end |
2.49471875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
10.08846875 |
transcript.pyannote[2].end |
11.74221875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
11.79284375 |
transcript.pyannote[3].end |
15.57284375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
14.50971875 |
transcript.pyannote[4].end |
15.13409375 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
16.06221875 |
transcript.pyannote[5].end |
16.38284375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
16.31534375 |
transcript.pyannote[6].end |
16.66971875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
17.69909375 |
transcript.pyannote[7].end |
18.17159375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
18.86346875 |
transcript.pyannote[8].end |
20.19659375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
20.55096875 |
transcript.pyannote[9].end |
22.35659375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
22.74471875 |
transcript.pyannote[10].end |
28.83659375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
29.05596875 |
transcript.pyannote[11].end |
32.07659375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
32.43096875 |
transcript.pyannote[12].end |
36.16034375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
37.69596875 |
transcript.pyannote[13].end |
40.21034375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
40.68284375 |
transcript.pyannote[14].end |
41.64471875 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
42.21846875 |
transcript.pyannote[15].end |
44.49659375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
45.10409375 |
transcript.pyannote[16].end |
45.94784375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
46.72409375 |
transcript.pyannote[17].end |
48.85034375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
49.27221875 |
transcript.pyannote[18].end |
52.84971875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
53.03534375 |
transcript.pyannote[19].end |
54.65534375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
55.27971875 |
transcript.pyannote[20].end |
57.28784375 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
55.29659375 |
transcript.pyannote[21].end |
55.48221875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
57.59159375 |
transcript.pyannote[22].end |
57.86159375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
58.70534375 |
transcript.pyannote[23].end |
62.60346875 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
62.55284375 |
transcript.pyannote[24].end |
73.36971875 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
71.36159375 |
transcript.pyannote[25].end |
71.96909375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
72.84659375 |
transcript.pyannote[26].end |
74.31471875 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
74.16284375 |
transcript.pyannote[27].end |
78.85409375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
78.63471875 |
transcript.pyannote[28].end |
84.81096875 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
80.13659375 |
transcript.pyannote[29].end |
80.65971875 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
80.87909375 |
transcript.pyannote[30].end |
82.22909375 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
82.48221875 |
transcript.pyannote[31].end |
85.87409375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
85.92471875 |
transcript.pyannote[32].end |
87.52784375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
87.05534375 |
transcript.pyannote[33].end |
96.82596875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
91.07159375 |
transcript.pyannote[34].end |
91.35846875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
95.45909375 |
transcript.pyannote[35].end |
95.88096875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
97.19721875 |
transcript.pyannote[36].end |
98.10846875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
98.26034375 |
transcript.pyannote[37].end |
99.79596875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
100.09971875 |
transcript.pyannote[38].end |
102.59721875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
103.28909375 |
transcript.pyannote[39].end |
108.80721875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
107.76096875 |
transcript.pyannote[40].end |
108.14909375 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
109.11096875 |
transcript.pyannote[41].end |
110.79846875 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
111.10221875 |
transcript.pyannote[42].end |
112.85721875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
113.11034375 |
transcript.pyannote[43].end |
127.40346875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
113.26221875 |
transcript.pyannote[44].end |
113.32971875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
113.38034375 |
transcript.pyannote[45].end |
113.39721875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
127.40346875 |
transcript.pyannote[46].end |
129.14159375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
129.14159375 |
transcript.pyannote[47].end |
129.47909375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
129.47909375 |
transcript.pyannote[48].end |
131.43659375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
131.94284375 |
transcript.pyannote[49].end |
140.54909375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
141.08909375 |
transcript.pyannote[50].end |
144.09284375 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
143.09721875 |
transcript.pyannote[51].end |
143.50221875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
144.53159375 |
transcript.pyannote[52].end |
149.39159375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
149.40846875 |
transcript.pyannote[53].end |
153.10409375 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
153.27284375 |
transcript.pyannote[54].end |
153.69471875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
153.27284375 |
transcript.pyannote[55].end |
161.37284375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
162.09846875 |
transcript.pyannote[56].end |
168.39284375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
168.39284375 |
transcript.pyannote[57].end |
168.66284375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
168.66284375 |
transcript.pyannote[58].end |
172.03784375 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
172.13909375 |
transcript.pyannote[59].end |
175.91909375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
176.17221875 |
transcript.pyannote[60].end |
178.95659375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
176.23971875 |
transcript.pyannote[61].end |
176.32409375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
179.15909375 |
transcript.pyannote[62].end |
181.63971875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
182.12909375 |
transcript.pyannote[63].end |
183.51284375 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
183.78284375 |
transcript.pyannote[64].end |
188.60909375 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
188.65971875 |
transcript.pyannote[65].end |
193.92471875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
190.93784375 |
transcript.pyannote[66].end |
191.44409375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
191.83221875 |
transcript.pyannote[67].end |
193.09784375 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
194.26221875 |
transcript.pyannote[68].end |
204.45471875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
196.65846875 |
transcript.pyannote[69].end |
196.97909375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
199.08846875 |
transcript.pyannote[70].end |
199.17284375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
199.35846875 |
transcript.pyannote[71].end |
199.61159375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
204.79221875 |
transcript.pyannote[72].end |
205.68659375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
204.97784375 |
transcript.pyannote[73].end |
207.20534375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
206.73284375 |
transcript.pyannote[74].end |
207.79596875 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
207.67784375 |
transcript.pyannote[75].end |
214.20846875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
213.97221875 |
transcript.pyannote[76].end |
227.79284375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
228.01221875 |
transcript.pyannote[77].end |
235.04909375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
235.21784375 |
transcript.pyannote[78].end |
237.39471875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
237.88409375 |
transcript.pyannote[79].end |
242.28846875 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
243.33471875 |
transcript.pyannote[80].end |
244.54971875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
245.86596875 |
transcript.pyannote[81].end |
247.30034375 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
247.55346875 |
transcript.pyannote[82].end |
247.87409375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
247.89096875 |
transcript.pyannote[83].end |
250.40534375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
250.72596875 |
transcript.pyannote[84].end |
255.48471875 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
255.80534375 |
transcript.pyannote[85].end |
257.57721875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
257.72909375 |
transcript.pyannote[86].end |
260.27721875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
260.68221875 |
transcript.pyannote[87].end |
263.46659375 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
263.80409375 |
transcript.pyannote[88].end |
266.77409375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
267.09471875 |
transcript.pyannote[89].end |
268.95096875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
269.25471875 |
transcript.pyannote[90].end |
270.33471875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
270.58784375 |
transcript.pyannote[91].end |
277.99596875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
278.45159375 |
transcript.pyannote[92].end |
281.99534375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
282.11346875 |
transcript.pyannote[93].end |
284.20596875 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
282.14721875 |
transcript.pyannote[94].end |
282.45096875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
285.31971875 |
transcript.pyannote[95].end |
287.69909375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
287.95221875 |
transcript.pyannote[96].end |
292.01909375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
292.50846875 |
transcript.pyannote[97].end |
292.67721875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
293.09909375 |
transcript.pyannote[98].end |
294.26346875 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
294.41534375 |
transcript.pyannote[99].end |
294.65159375 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
294.58409375 |
transcript.pyannote[100].end |
296.00159375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
296.27159375 |
transcript.pyannote[101].end |
297.84096875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
298.24596875 |
transcript.pyannote[102].end |
299.46096875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
299.96721875 |
transcript.pyannote[103].end |
305.65409375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
306.12659375 |
transcript.pyannote[104].end |
307.49346875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
306.49784375 |
transcript.pyannote[105].end |
306.91971875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
307.94909375 |
transcript.pyannote[106].end |
309.77159375 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
309.95721875 |
transcript.pyannote[107].end |
311.57721875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
311.91471875 |
transcript.pyannote[108].end |
314.22659375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
314.63159375 |
transcript.pyannote[109].end |
317.60159375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
318.36096875 |
transcript.pyannote[110].end |
320.67284375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
321.22971875 |
transcript.pyannote[111].end |
321.33096875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
321.39846875 |
transcript.pyannote[112].end |
322.49534375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
322.73159375 |
transcript.pyannote[113].end |
324.67221875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
324.75659375 |
transcript.pyannote[114].end |
331.70909375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
331.91159375 |
transcript.pyannote[115].end |
333.76784375 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
331.92846875 |
transcript.pyannote[116].end |
332.38409375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
334.08846875 |
transcript.pyannote[117].end |
335.60721875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
336.06284375 |
transcript.pyannote[118].end |
337.80096875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
338.05409375 |
transcript.pyannote[119].end |
339.38721875 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
338.08784375 |
transcript.pyannote[120].end |
338.12159375 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
338.13846875 |
transcript.pyannote[121].end |
338.39159375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
339.84284375 |
transcript.pyannote[122].end |
342.30659375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
342.64409375 |
transcript.pyannote[123].end |
346.05284375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
346.45784375 |
transcript.pyannote[124].end |
347.94284375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
348.28034375 |
transcript.pyannote[125].end |
350.15346875 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
350.50784375 |
transcript.pyannote[126].end |
352.51596875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
352.87034375 |
transcript.pyannote[127].end |
354.28784375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
354.91221875 |
transcript.pyannote[128].end |
356.26221875 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
357.08909375 |
transcript.pyannote[129].end |
359.33346875 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
359.33346875 |
transcript.pyannote[130].end |
359.65409375 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
359.68784375 |
transcript.pyannote[131].end |
360.66659375 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
359.90721875 |
transcript.pyannote[132].end |
361.39221875 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
361.86471875 |
transcript.pyannote[133].end |
369.15471875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
368.02409375 |
transcript.pyannote[134].end |
372.98534375 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
373.25534375 |
transcript.pyannote[135].end |
374.62221875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
374.94284375 |
transcript.pyannote[136].end |
380.78159375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
381.30471875 |
transcript.pyannote[137].end |
382.28346875 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
383.09346875 |
transcript.pyannote[138].end |
384.17346875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
384.78096875 |
transcript.pyannote[139].end |
385.00034375 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
385.60784375 |
transcript.pyannote[140].end |
386.65409375 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
385.64159375 |
transcript.pyannote[141].end |
386.21534375 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
386.82284375 |
transcript.pyannote[142].end |
388.34159375 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
387.85221875 |
transcript.pyannote[143].end |
387.97034375 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
388.59471875 |
transcript.pyannote[144].end |
394.31534375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
391.66596875 |
transcript.pyannote[145].end |
395.27721875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
394.51784375 |
transcript.pyannote[146].end |
401.16659375 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
400.94721875 |
transcript.pyannote[147].end |
406.39784375 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
406.80284375 |
transcript.pyannote[148].end |
408.20346875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
408.54096875 |
transcript.pyannote[149].end |
409.51971875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
409.95846875 |
transcript.pyannote[150].end |
410.29596875 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
410.46471875 |
transcript.pyannote[151].end |
410.98784375 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
411.24096875 |
transcript.pyannote[152].end |
411.89909375 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
411.27471875 |
transcript.pyannote[153].end |
417.78846875 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
416.59034375 |
transcript.pyannote[154].end |
421.19721875 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
421.66971875 |
transcript.pyannote[155].end |
422.98596875 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
423.57659375 |
transcript.pyannote[156].end |
425.61846875 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
425.78721875 |
transcript.pyannote[157].end |
431.40659375 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
431.94659375 |
transcript.pyannote[158].end |
434.22471875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
434.76471875 |
transcript.pyannote[159].end |
437.83596875 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
439.23659375 |
transcript.pyannote[160].end |
439.70909375 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
440.18159375 |
transcript.pyannote[161].end |
442.84784375 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
442.99971875 |
transcript.pyannote[162].end |
444.19784375 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
444.36659375 |
transcript.pyannote[163].end |
445.51409375 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
446.23971875 |
transcript.pyannote[164].end |
446.50971875 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
447.01596875 |
transcript.pyannote[165].end |
450.25596875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
450.69471875 |
transcript.pyannote[166].end |
456.68534375 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
456.80346875 |
transcript.pyannote[167].end |
459.35159375 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
459.38534375 |
transcript.pyannote[168].end |
460.75221875 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
461.27534375 |
transcript.pyannote[169].end |
462.45659375 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
463.28346875 |
transcript.pyannote[170].end |
466.21971875 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
466.48971875 |
transcript.pyannote[171].end |
467.89034375 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
468.31221875 |
transcript.pyannote[172].end |
472.96971875 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
473.59409375 |
transcript.pyannote[173].end |
474.85971875 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
475.36596875 |
transcript.pyannote[174].end |
475.60221875 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
475.60221875 |
transcript.pyannote[175].end |
476.26034375 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
476.74971875 |
transcript.pyannote[176].end |
478.97721875 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
479.61846875 |
transcript.pyannote[177].end |
481.94721875 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
482.13284375 |
transcript.pyannote[178].end |
485.05221875 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
485.38971875 |
transcript.pyannote[179].end |
487.29659375 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
487.44846875 |
transcript.pyannote[180].end |
491.00909375 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
491.75159375 |
transcript.pyannote[181].end |
493.08471875 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
493.82721875 |
transcript.pyannote[182].end |
494.53596875 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
494.72159375 |
transcript.pyannote[183].end |
494.73846875 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
494.73846875 |
transcript.pyannote[184].end |
497.03346875 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
494.85659375 |
transcript.pyannote[185].end |
495.00846875 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
497.35409375 |
transcript.pyannote[186].end |
504.42471875 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
504.86346875 |
transcript.pyannote[187].end |
505.36971875 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
505.90971875 |
transcript.pyannote[188].end |
506.53409375 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
507.07409375 |
transcript.pyannote[189].end |
509.95971875 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
507.31034375 |
transcript.pyannote[190].end |
507.32721875 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
507.73221875 |
transcript.pyannote[191].end |
507.98534375 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
510.14534375 |
transcript.pyannote[192].end |
514.66784375 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
510.16221875 |
transcript.pyannote[193].end |
510.48284375 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
513.65534375 |
transcript.pyannote[194].end |
513.99284375 |
transcript.pyannote[195].speaker |
SPEAKER_00 |
transcript.pyannote[195].start |
514.81971875 |
transcript.pyannote[195].end |
516.11909375 |
transcript.pyannote[196].speaker |
SPEAKER_00 |
transcript.pyannote[196].start |
516.96284375 |
transcript.pyannote[196].end |
517.38471875 |
transcript.pyannote[197].speaker |
SPEAKER_00 |
transcript.pyannote[197].start |
517.72221875 |
transcript.pyannote[197].end |
518.56596875 |
transcript.pyannote[198].speaker |
SPEAKER_00 |
transcript.pyannote[198].start |
518.93721875 |
transcript.pyannote[198].end |
532.92659375 |
transcript.pyannote[199].speaker |
SPEAKER_00 |
transcript.pyannote[199].start |
533.46659375 |
transcript.pyannote[199].end |
534.51284375 |
transcript.pyannote[200].speaker |
SPEAKER_00 |
transcript.pyannote[200].start |
534.93471875 |
transcript.pyannote[200].end |
538.09034375 |
transcript.pyannote[201].speaker |
SPEAKER_00 |
transcript.pyannote[201].start |
538.36034375 |
transcript.pyannote[201].end |
540.63846875 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
541.14471875 |
transcript.pyannote[202].end |
543.96284375 |
transcript.pyannote[203].speaker |
SPEAKER_00 |
transcript.pyannote[203].start |
544.51971875 |
transcript.pyannote[203].end |
549.04221875 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
550.07159375 |
transcript.pyannote[204].end |
550.79721875 |
transcript.whisperx[0].start |
0.369 |
transcript.whisperx[0].end |
16.369 |
transcript.whisperx[0].text |
請 王美惠委員主席 咱請 署長你怎麼知道我要叫你 啊我叫你 你就站著來 主席 |
transcript.whisperx[1].start |
19.025 |
transcript.whisperx[1].end |
35.751 |
transcript.whisperx[1].text |
在這 署長剛才很多我們的好董事有說過今天就是要探討我們市區的生活圈剛才最為你跟洪祿 札韋說的說你們想辦法我想不想想什麼辦法第二天前瞻會退後幾個到現在 |
transcript.whisperx[2].start |
47.153 |
transcript.whisperx[2].end |
54.184 |
transcript.whisperx[2].text |
還沒處理的時候,有的地方補助是因為前一陣子的地方,這樣他一定有發泡 |
transcript.whisperx[3].start |
59.369 |
transcript.whisperx[3].end |
74.982 |
transcript.whisperx[3].text |
像這樣要怎麼處理 來 署長你回答一下第一個就是說 第一就是說生活圈的部分其實都有家庭 還有同居啦因為生活圈是比較長期的 一個假月可能四五天所以它中的部分 我先講今年 |
transcript.whisperx[4].start |
77.003 |
transcript.whisperx[4].end |
100.337 |
transcript.whisperx[4].text |
如果我這個補分你怎麼說我們在檢討會議裡面都已經有跟他們說明了有跟他們說明叫地方政府的財政商要育兒因應後面我們只能看預算的處理情形再通知他們所以這就是中央跟地方大家互相搭配但是前瞻就比較明確前瞻就是 |
transcript.whisperx[5].start |
103.339 |
transcript.whisperx[5].end |
126.16 |
transcript.whisperx[5].text |
你原地準備要自己核定的,現在都先停了,沒有核定這件事事情就是說,去年已經核定在這行程的我就說,我就拔錢拔到這個位,照進度我拔到你那裡,出那裡沒有因為照去年的尤省,我可以框定的額度到多少我就框到那邊給你,那出那個行程你要自己預約運營,這都在檢討會議都有跟你們說明 |
transcript.whisperx[6].start |
127.461 |
transcript.whisperx[6].end |
128.862 |
transcript.whisperx[6].text |
有檢討會議都有說明那市長像上次收補助的像現在有的年輕大嘛有的是社區跟學校目前現在都有做的跟目前 |
transcript.whisperx[7].start |
144.577 |
transcript.whisperx[7].end |
147.721 |
transcript.whisperx[7].text |
本心本性有跟你們提議 因為一定要市政府跟管理商我們才有辦法去農曆嘛 因為沒有商也不知道問題出一隊 開始帶一條路不要帶一個學校跟路 |
transcript.whisperx[8].start |
162.199 |
transcript.whisperx[8].end |
168.044 |
transcript.whisperx[8].text |
社區要走的,不好走的,要改善的,一定他們要有提議出來嘛,把提議出來,你們自己覺得說,帶一條陷害,可以先做嘛,我們在這裡面,像你說的,這樣,沒錢,這樣就海融融了。這確實啦,有些地方,我們可以,有些地方變成暫停提案啦,不讓他們再提了。 |
transcript.whisperx[9].start |
188.806 |
transcript.whisperx[9].end |
200.604 |
transcript.whisperx[9].text |
那有一些尤其是像剛才說的提升人行安全,還有就是道路品質的部分道路品質對有機廢料都大概衝擊是比較大 |
transcript.whisperx[10].start |
204.83 |
transcript.whisperx[10].end |
208.132 |
transcript.whisperx[10].text |
對非六都衝擊是比較大因為很多都要靠這個來把這長年失修的道路要做一些改善因為我覺得不是在六都裡面都怕人家說 |
transcript.whisperx[11].start |
220.82 |
transcript.whisperx[11].end |
223.983 |
transcript.whisperx[11].text |
提議有三件項目,中央的審核項目,內政可以投入,當局一來,局外可以緩修,可以溝通好,人生要走也很安全啦在這個安全當中,現在我好煩惱的就是說,要仰賴中央的步驟,結果沒有了啦 |
transcript.whisperx[12].start |
245.879 |
transcript.whisperx[12].end |
247.22 |
transcript.whisperx[12].text |
這是很煩惱啦像說我們今天大家有什麼問題可以做探討我們要謙證他站出來的時候 交付我們的內政看怎麼處理 如果做得好 |
transcript.whisperx[13].start |
263.906 |
transcript.whisperx[13].end |
271.289 |
transcript.whisperx[13].text |
我們還可以處理這個經費的時候因為以我自己來說我自己中央學校的步驟我認為有改善過你們有時間去騎去走都做得很好啊評測也很好啊所以為了這個醫生暫時凍結的時候對我自己來說應用費最大是 |
transcript.whisperx[14].start |
294.652 |
transcript.whisperx[14].end |
313.805 |
transcript.whisperx[14].text |
因為你如果知道我的個性,我不分藍綠,不分誰在地方執政,只是把日期的建設做好才好,不要讓日期的百姓人員,兩樣的區域在地方,什麼董沒工,寶座就沒工 |
transcript.whisperx[15].start |
318.388 |
transcript.whisperx[15].end |
320.609 |
transcript.whisperx[15].text |
這是很大的侮辱啦所以署長在這裡 你要知道說我真正要在這裡 要順路騎摩托車的時候要把你收回整個日本啦你要知道 把他持 非常需要中央的合作啦尤其現在 |
transcript.whisperx[16].start |
339.915 |
transcript.whisperx[16].end |
344.4 |
transcript.whisperx[16].text |
像剛才那條路擦掉做了 本市一直發表對應的建議 對應的計劃 已經漸漸完成了現在八十月的十二條路 署長你知道這條路嗎 要怎麼處理嗎 |
transcript.whisperx[17].start |
362.103 |
transcript.whisperx[17].end |
370.088 |
transcript.whisperx[17].text |
因為現在可能就暫時無法及時發報了啦因為現在暫時有部分先暫停下來所以我就是站在我的地方的立場我最高興的啦本來認為覺得辦事會會溝通我忙這條路來改善結果現在沒辦法啦 |
transcript.whisperx[18].start |
384.787 |
transcript.whisperx[18].end |
394.15 |
transcript.whisperx[18].text |
市長,那有什麼方法?現在這是有先跟市府有說我才有說,那你中央有什麼方法?我也是希望這比較快解凍,這邊的部分我們就可以儘速來核定這個部分這樣就是說,如果解凍之後,對家役及本社會的責任,就早日可以來做了 |
transcript.whisperx[19].start |
409.855 |
transcript.whisperx[19].end |
418.461 |
transcript.whisperx[19].text |
我認為市府也認真發表 因為我講實在的市府也認真 我們民運代表也認真所以我們就是要手牽手 為了地方的建設來發表有的人當選 有的人選 他說不知道地方的感覺怎麼樣 |
transcript.whisperx[20].start |
440.281 |
transcript.whisperx[20].end |
444.503 |
transcript.whisperx[20].text |
所以署長,在這,我認為,長久以來,在過程中,我開台北的時候,你已經知道地方的需求是什麼,要改善的是什麼,所以有做到不好的,我們也要改善,本身來說, |
transcript.whisperx[21].start |
464.543 |
transcript.whisperx[21].end |
470.827 |
transcript.whisperx[21].text |
我們也在人行道做了這個轉彎這個關節的時候讓轉彎的騎摩托車騎卡車的人慢慢危險這是我們中央跟地方要去看好 做好不是做好 把我們改善了一點小細節會因為這個車禍來地上很多危險的人 |
transcript.whisperx[22].start |
493.911 |
transcript.whisperx[22].end |
503.9 |
transcript.whisperx[22].text |
市長,在這裡面本身要跟你說,這是很多,因為大家也看到自己的改變,自己的水平也好,這裡的大廈也好,學府也好,這裡都漸漸已經改變了,你會很後悔,所以這裡不能等 |
transcript.whisperx[23].start |
517.809 |
transcript.whisperx[23].end |
524.914 |
transcript.whisperx[23].text |
拜託 國境有什麼計劃 什麼好處理可以早日在2027年會建設國境配合不像你們說的 加上發泡雨也沒辦法跟大陸說 這就沒辦法 還要想出辦法不是沒辦法啦 有的很大方向啦三三的 有的沒的啦 當然啦 |
transcript.whisperx[24].start |
544.589 |
transcript.whisperx[24].end |
548.702 |
transcript.whisperx[24].text |
董給他三個 意思差不多啦 醫生 |