video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4b9db3dc7042177aa3eb21a30fb2fcfb44e208bd6b14da820d566afe3cb32bc391b1f0c7435980ee5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
陳雪生 |
委員發言時間 |
13:39:08 - 13:47:51 |
影片長度 |
523 |
會議時間 |
2024-11-27T09:00:00+08:00 |
會議名稱 |
立法院第11屆第2會期交通委員會第11次全體委員會議(事由:一、審查114年度中央政府總預算案關於交通部單位預算。
二、審查114年度中央政府總預算案關於交通部中央氣象署單位預算。
三、審查114年度中央政府總預算案關於交通部公路局及所屬單位預算。
四、審查114年度中央政府總預算案附屬單位預算非營業部分關於交通部主管交通作業基金─國道公路建設管理基金分預算。
【僅進行詢答;委員預算提案於12月12日中午12時前截止收件】) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
6.56159375 |
transcript.pyannote[0].end |
7.77659375 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
7.97909375 |
transcript.pyannote[1].end |
9.39659375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
15.21846875 |
transcript.pyannote[2].end |
17.98596875 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
18.55971875 |
transcript.pyannote[3].end |
24.33096875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
24.33096875 |
transcript.pyannote[4].end |
26.40659375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
28.16159375 |
transcript.pyannote[5].end |
30.01784375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
31.13159375 |
transcript.pyannote[6].end |
32.36346875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
32.24534375 |
transcript.pyannote[7].end |
34.23659375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
35.31659375 |
transcript.pyannote[8].end |
38.50596875 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
38.69159375 |
transcript.pyannote[9].end |
46.82534375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
42.08346875 |
transcript.pyannote[10].end |
42.77534375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
43.43346875 |
transcript.pyannote[11].end |
44.93534375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
45.81284375 |
transcript.pyannote[12].end |
46.63971875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
47.01096875 |
transcript.pyannote[13].end |
47.02784375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
47.04471875 |
transcript.pyannote[14].end |
48.27659375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
48.88409375 |
transcript.pyannote[15].end |
50.55471875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
51.71909375 |
transcript.pyannote[16].end |
52.98471875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
53.37284375 |
transcript.pyannote[17].end |
54.26721875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
54.53721875 |
transcript.pyannote[18].end |
55.73534375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
56.73096875 |
transcript.pyannote[19].end |
58.11471875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
58.82346875 |
transcript.pyannote[20].end |
60.84846875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
61.20284375 |
transcript.pyannote[21].end |
62.45159375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
63.71721875 |
transcript.pyannote[22].end |
65.43846875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
66.58596875 |
transcript.pyannote[23].end |
70.31534375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
71.58096875 |
transcript.pyannote[24].end |
74.19659375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
75.22596875 |
transcript.pyannote[25].end |
76.30596875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
76.89659375 |
transcript.pyannote[26].end |
77.31846875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
78.19596875 |
transcript.pyannote[27].end |
81.11534375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
82.46534375 |
transcript.pyannote[28].end |
86.36346875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
87.24096875 |
transcript.pyannote[29].end |
89.19846875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
91.94909375 |
transcript.pyannote[30].end |
95.10471875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
95.54346875 |
transcript.pyannote[31].end |
100.01534375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
100.50471875 |
transcript.pyannote[32].end |
101.60159375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
102.25971875 |
transcript.pyannote[33].end |
103.59284375 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
103.71096875 |
transcript.pyannote[34].end |
113.58284375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
110.10659375 |
transcript.pyannote[35].end |
110.96721875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
111.03471875 |
transcript.pyannote[36].end |
111.28784375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
112.57034375 |
transcript.pyannote[37].end |
115.03409375 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
115.64159375 |
transcript.pyannote[38].end |
116.28284375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
116.43471875 |
transcript.pyannote[39].end |
119.50596875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
119.91096875 |
transcript.pyannote[40].end |
122.64471875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
122.99909375 |
transcript.pyannote[41].end |
124.04534375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
124.95659375 |
transcript.pyannote[42].end |
125.95221875 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
126.34034375 |
transcript.pyannote[43].end |
128.63534375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
128.88846875 |
transcript.pyannote[44].end |
129.73221875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
130.87971875 |
transcript.pyannote[45].end |
131.36909375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
132.26346875 |
transcript.pyannote[46].end |
133.02284375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
133.14096875 |
transcript.pyannote[47].end |
134.38971875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
134.82846875 |
transcript.pyannote[48].end |
135.82409375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
136.38096875 |
transcript.pyannote[49].end |
137.08971875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
137.41034375 |
transcript.pyannote[50].end |
138.77721875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
140.00909375 |
transcript.pyannote[51].end |
141.27471875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
141.44346875 |
transcript.pyannote[52].end |
142.57409375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
143.08034375 |
transcript.pyannote[53].end |
144.97034375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
146.40471875 |
transcript.pyannote[54].end |
148.37909375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
148.66596875 |
transcript.pyannote[55].end |
149.88096875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
150.35346875 |
transcript.pyannote[56].end |
156.00659375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
156.90096875 |
transcript.pyannote[57].end |
159.12846875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
160.09034375 |
transcript.pyannote[58].end |
161.94659375 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
162.36846875 |
transcript.pyannote[59].end |
163.75221875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
170.82284375 |
transcript.pyannote[60].end |
172.51034375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
173.16846875 |
transcript.pyannote[61].end |
174.83909375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
176.03721875 |
transcript.pyannote[62].end |
177.45471875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
177.99471875 |
transcript.pyannote[63].end |
179.05784375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
180.23909375 |
transcript.pyannote[64].end |
183.54659375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
184.18784375 |
transcript.pyannote[65].end |
185.58846875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
186.80346875 |
transcript.pyannote[66].end |
187.96784375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
189.16596875 |
transcript.pyannote[67].end |
191.19096875 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
191.51159375 |
transcript.pyannote[68].end |
192.18659375 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
193.24971875 |
transcript.pyannote[69].end |
194.88659375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
196.48971875 |
transcript.pyannote[70].end |
198.00846875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
198.02534375 |
transcript.pyannote[71].end |
198.80159375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
199.00409375 |
transcript.pyannote[72].end |
204.03284375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
199.59471875 |
transcript.pyannote[73].end |
199.89846875 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
200.32034375 |
transcript.pyannote[74].end |
200.87721875 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
200.97846875 |
transcript.pyannote[75].end |
202.14284375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
203.17221875 |
transcript.pyannote[76].end |
203.23971875 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
204.04971875 |
transcript.pyannote[77].end |
207.64409375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
208.79159375 |
transcript.pyannote[78].end |
209.90534375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
210.17534375 |
transcript.pyannote[79].end |
212.31846875 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
213.34784375 |
transcript.pyannote[80].end |
214.90034375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
215.69346875 |
transcript.pyannote[81].end |
216.40221875 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
218.19096875 |
transcript.pyannote[82].end |
221.02596875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
222.47721875 |
transcript.pyannote[83].end |
223.48971875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
224.13096875 |
transcript.pyannote[84].end |
225.39659375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
225.81846875 |
transcript.pyannote[85].end |
226.47659375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
226.59471875 |
transcript.pyannote[86].end |
227.16846875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
228.75471875 |
transcript.pyannote[87].end |
229.95284375 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
230.66159375 |
transcript.pyannote[88].end |
234.17159375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
234.44159375 |
transcript.pyannote[89].end |
238.82909375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
239.67284375 |
transcript.pyannote[90].end |
240.17909375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
240.48284375 |
transcript.pyannote[91].end |
242.20409375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
243.68909375 |
transcript.pyannote[92].end |
246.30471875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
248.32971875 |
transcript.pyannote[93].end |
249.61221875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
250.45596875 |
transcript.pyannote[94].end |
251.36721875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
252.24471875 |
transcript.pyannote[95].end |
254.87721875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
255.55221875 |
transcript.pyannote[96].end |
256.76721875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
257.30721875 |
transcript.pyannote[97].end |
258.38721875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
259.28159375 |
transcript.pyannote[98].end |
260.32784375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
261.30659375 |
transcript.pyannote[99].end |
262.15034375 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
264.07409375 |
transcript.pyannote[100].end |
266.20034375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
267.28034375 |
transcript.pyannote[101].end |
268.03971875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
270.04784375 |
transcript.pyannote[102].end |
271.66784375 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
272.35971875 |
transcript.pyannote[103].end |
274.94159375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
274.97534375 |
transcript.pyannote[104].end |
275.04284375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
275.05971875 |
transcript.pyannote[105].end |
277.64159375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
278.19846875 |
transcript.pyannote[106].end |
279.05909375 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
279.76784375 |
transcript.pyannote[107].end |
282.13034375 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
284.20596875 |
transcript.pyannote[108].end |
285.53909375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
289.20096875 |
transcript.pyannote[109].end |
290.06159375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
291.15846875 |
transcript.pyannote[110].end |
292.77846875 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
293.67284375 |
transcript.pyannote[111].end |
294.14534375 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
295.07346875 |
transcript.pyannote[112].end |
299.03909375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
300.05159375 |
transcript.pyannote[113].end |
302.29596875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
302.48159375 |
transcript.pyannote[114].end |
304.08471875 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
305.21534375 |
transcript.pyannote[115].end |
309.34971875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
309.68721875 |
transcript.pyannote[116].end |
311.25659375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
313.82159375 |
transcript.pyannote[117].end |
315.17159375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
317.21346875 |
transcript.pyannote[118].end |
318.47909375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
319.45784375 |
transcript.pyannote[119].end |
321.19596875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
323.25471875 |
transcript.pyannote[120].end |
324.85784375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
324.90846875 |
transcript.pyannote[121].end |
327.13596875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
327.25409375 |
transcript.pyannote[122].end |
328.84034375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
329.78534375 |
transcript.pyannote[123].end |
331.01721875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
331.67534375 |
transcript.pyannote[124].end |
333.36284375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
335.86034375 |
transcript.pyannote[125].end |
336.78846875 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
338.07096875 |
transcript.pyannote[126].end |
339.31971875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
340.70346875 |
transcript.pyannote[127].end |
343.01534375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
345.63096875 |
transcript.pyannote[128].end |
347.04846875 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
348.55034375 |
transcript.pyannote[129].end |
350.64284375 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
351.52034375 |
transcript.pyannote[130].end |
353.30909375 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
353.51159375 |
transcript.pyannote[131].end |
354.57471875 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
355.45221875 |
transcript.pyannote[132].end |
356.26221875 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
357.56159375 |
transcript.pyannote[133].end |
360.12659375 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
361.22346875 |
transcript.pyannote[134].end |
361.71284375 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
362.70846875 |
transcript.pyannote[135].end |
363.50159375 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
367.18034375 |
transcript.pyannote[136].end |
368.80034375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
369.42471875 |
transcript.pyannote[137].end |
370.79159375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
371.51721875 |
transcript.pyannote[138].end |
372.74909375 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
373.57596875 |
transcript.pyannote[139].end |
375.44909375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
376.24221875 |
transcript.pyannote[140].end |
378.50346875 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
379.00971875 |
transcript.pyannote[141].end |
382.38471875 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
383.04284375 |
transcript.pyannote[142].end |
384.25784375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
385.18596875 |
transcript.pyannote[143].end |
386.35034375 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
386.90721875 |
transcript.pyannote[144].end |
388.62846875 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
390.34971875 |
transcript.pyannote[145].end |
394.02846875 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
394.45034375 |
transcript.pyannote[146].end |
395.32784375 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
396.57659375 |
transcript.pyannote[147].end |
397.18409375 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
397.52159375 |
transcript.pyannote[148].end |
398.95596875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
399.19221875 |
transcript.pyannote[149].end |
400.66034375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
401.65596875 |
transcript.pyannote[150].end |
403.88346875 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
404.42346875 |
transcript.pyannote[151].end |
405.72284375 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
406.83659375 |
transcript.pyannote[152].end |
409.55346875 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
409.68846875 |
transcript.pyannote[153].end |
411.35909375 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
412.01721875 |
transcript.pyannote[154].end |
413.70471875 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
414.09284375 |
transcript.pyannote[155].end |
415.30784375 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
416.35409375 |
transcript.pyannote[156].end |
417.53534375 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
418.26096875 |
transcript.pyannote[157].end |
421.23096875 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
421.51784375 |
transcript.pyannote[158].end |
422.39534375 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
423.35721875 |
transcript.pyannote[159].end |
425.70284375 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
426.91784375 |
transcript.pyannote[160].end |
428.38596875 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
429.95534375 |
transcript.pyannote[161].end |
430.81596875 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
431.35596875 |
transcript.pyannote[162].end |
432.53721875 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
433.80284375 |
transcript.pyannote[163].end |
436.43534375 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
436.72221875 |
transcript.pyannote[164].end |
439.67534375 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
440.67096875 |
transcript.pyannote[165].end |
441.88596875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
442.45971875 |
transcript.pyannote[166].end |
443.60721875 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
444.23159375 |
transcript.pyannote[167].end |
449.37846875 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
450.40784375 |
transcript.pyannote[168].end |
452.98971875 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
453.73221875 |
transcript.pyannote[169].end |
456.61784375 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
457.19159375 |
transcript.pyannote[170].end |
457.66409375 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
457.96784375 |
transcript.pyannote[171].end |
458.55846875 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
459.26721875 |
transcript.pyannote[172].end |
460.19534375 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
461.51159375 |
transcript.pyannote[173].end |
462.22034375 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
463.33409375 |
transcript.pyannote[174].end |
464.44784375 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
467.56971875 |
transcript.pyannote[175].end |
469.52721875 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
470.03346875 |
transcript.pyannote[176].end |
473.18909375 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
474.50534375 |
transcript.pyannote[177].end |
476.34471875 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
477.47534375 |
transcript.pyannote[178].end |
478.65659375 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
479.85471875 |
transcript.pyannote[179].end |
481.99784375 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
484.32659375 |
transcript.pyannote[180].end |
487.83659375 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
488.54534375 |
transcript.pyannote[181].end |
489.77721875 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
491.19471875 |
transcript.pyannote[182].end |
493.42221875 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
493.81034375 |
transcript.pyannote[183].end |
497.06721875 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
497.99534375 |
transcript.pyannote[184].end |
499.83471875 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
500.84721875 |
transcript.pyannote[185].end |
502.73721875 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
503.32784375 |
transcript.pyannote[186].end |
505.36971875 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
507.00659375 |
transcript.pyannote[187].end |
508.72784375 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
509.94284375 |
transcript.pyannote[188].end |
511.57971875 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
511.93409375 |
transcript.pyannote[189].end |
514.38096875 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
515.27534375 |
transcript.pyannote[190].end |
516.11909375 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
517.40159375 |
transcript.pyannote[191].end |
521.48534375 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
522.00846875 |
transcript.pyannote[192].end |
522.90284375 |
transcript.whisperx[0].start |
6.604 |
transcript.whisperx[0].end |
33.922 |
transcript.whisperx[0].text |
主席就請次長好請陳彥博次長次長、部長今天有重要事嗎?我的了解部長很想要參加一個招商的一個記者會他不知道今天交通委員會開會齁?今天要到立法院來他知道嗎?應該是知道那可以中途去請一下 |
transcript.whisperx[1].start |
35.356 |
transcript.whisperx[1].end |
60.11 |
transcript.whisperx[1].text |
那委員要問的事情你能夠完全代表他回答得出來嗎?部長請假他有依照相關的程序來申請。我知道,我所以才跟召委報告以後我是希望你們這些部長級的我們立法院難得跟你們碰個面,我也不會去騷擾你們開會的時候你們就來嘛,又什麼花樣啊,又請假又幹什麼的 |
transcript.whisperx[2].start |
63.766 |
transcript.whisperx[2].end |
88.971 |
transcript.whisperx[2].text |
你們幕僚人要注意一下嘛今天立法院開會你們把這行程就要把它調好嘛對不對那你剛才十點鐘嗎部長有什麼行程也去好了那我們來這裡幹什麼是不是你影響到我的執行權我問你的為啥你能夠回答我嗎我如果要執行你的話你有些問題部長要回答了你回答不出來怎麼辦你浪費我們時間嘛你懂了沒有 |
transcript.whisperx[3].start |
92.117 |
transcript.whisperx[3].end |
113.522 |
transcript.whisperx[3].text |
我說跟召委報告我們以後注意一下這方面的事情對每個委員大家都尊重我不是說去責難你因為我當召委的時候我也常常準價我也常常準價陳委員部長他有事先請假那我也同意他請假那我們在今天的出席名單上面就已經有備註了我尊重你不然我就鬧場了剛才對不對 |
transcript.whisperx[4].start |
116.695 |
transcript.whisperx[4].end |
144.756 |
transcript.whisperx[4].text |
市長我告訴你,我要問部長什麼問題?我要問他去馬祖這次考察的感想,因為他第一次去,有什麼感想沒有?飛機降落的時候,顯像還生,那個側風,是不是?然後回去的時候,回程,要坐飛機沒辦法坐,要渡海到北竿去。到北竿上飛機,在海上又非常的顛簸,他快吐了。 |
transcript.whisperx[5].start |
146.445 |
transcript.whisperx[5].end |
163.274 |
transcript.whisperx[5].text |
所以這些中央長官我最好風浪越大氣候越壞我希望他們去考察我下次安排一個氣候颱風快來的時候安排你們去考察讓你們感受一下離島居民是什麼你請下去好不好我請那個召委請公路總局下次我質詢不那麼客氣了齁你們看我好好先生嘛是不是 |
transcript.whisperx[6].start |
176.087 |
transcript.whisperx[6].end |
190.777 |
transcript.whisperx[6].text |
我對你們交通部很好欸,你要我發脾氣嗎?你把我搞火了我跟你講,我以後對你們不客氣,我砍預算照砍啊。如果有刪過你們一毛錢嗎?局長我問你喔,行政院秘書長6月13號發了一個函,講有關北竿大橋的事情。 |
transcript.whisperx[7].start |
196.516 |
transcript.whisperx[7].end |
215.935 |
transcript.whisperx[7].text |
我到最近我才知道去年的還是去年去年的東西你們可以直接放在那邊睡覺沒有沒有沒有他的正本沒有發給也沒發給我也沒發給林鄉縣政府不停的打圈圈下情無法上達嘛對不對蔡總統答應我們的做大橋賴總統當行政院長的時候答應我們做大橋 |
transcript.whisperx[8].start |
222.503 |
transcript.whisperx[8].end |
245.396 |
transcript.whisperx[8].text |
你們底下公路總局不敢問交通部長不敢問然後扯到國發會國發會又花了五、六百萬拿到英國去做工程技術上難度的認定你講技術沒問題啊是不是技術沒有問題啊還有什麼問題前面蘇貞燦院長講經費上沒問題啊這什麼態度啊這什麼態度啊 |
transcript.whisperx[9].start |
252.281 |
transcript.whisperx[9].end |
278.783 |
transcript.whisperx[9].text |
不是我們在騙人,是你們在騙人耶!你知道嗎?局長我不一定講你喔!你的上頭都在騙!一個騙字啊!可以這樣騙嗎?去年6月13號的公文到現在,搞到現在,不但騙我,騙你縣政府耶!公文不停的來來去去來來去去,搞了六七年了,你蓋還是不蓋嘛?講清楚嘛! |
transcript.whisperx[10].start |
279.838 |
transcript.whisperx[10].end |
281.92 |
transcript.whisperx[10].text |
你不蓋了嗎?我就講總統講的話放屁!院長講的話也是放屁!可以這樣搞嗎?這是中央政府啊!是不是?然後說南開那邊的人比較多,南開機場繼續給他保留,是不是?以後叫他起他們坐飛機,降落的時候我看他怕不怕? |
transcript.whisperx[11].start |
305.27 |
transcript.whisperx[11].end |
311.033 |
transcript.whisperx[11].text |
我家全家人欸五條人命在這個機場上面你知道嗎?我覺得那麼強烈在那邊講話誰家搞過空難你講我很堅持就這樣子南開機場一定要廢掉了嘛飛行員、教官跟我講降落在南開機場很像降落在航空母艦上面欸你們搞過這個事情嗎?那個側風是多大你知道嗎? |
transcript.whisperx[12].start |
335.899 |
transcript.whisperx[12].end |
342.823 |
transcript.whisperx[12].text |
很危險的勒一定要搞出人命來嗎?所以北竿機場的速度一定要加快那南北竿大橋你們上面講馬祖大橋就馬祖大橋嘛現在英國認證已經回來了到你們手上那你們現在又提出什麼建議?給政府建議說什麼?你們建議什麼? |
transcript.whisperx[13].start |
368.517 |
transcript.whisperx[13].end |
394.654 |
transcript.whisperx[13].text |
關閉時程施工進度如果做大橋的話那麼同時做北竿機場這裡面在錢的部分能夠少多少英國第三方的公證講說多少?390億你替他在放屁啊他有什麼算出來的?他的腦袋是AI還是電腦?多深海域浪多大連量都沒量看都沒看還有國發會 |
transcript.whisperx[14].start |
396.598 |
transcript.whisperx[14].end |
420.866 |
transcript.whisperx[14].text |
我一起罵我改天到海盜農委會去罵海盜經濟委會去罵國發會你們這些專家學者專門騙人家公文到手上隨便一個文就回給交通部你們交通部也不吭不哈的你們要把它寫出來嘛是不是這個橋的重要性經費沒問題啊都是總統級的人講經費沒問題不是我講的我怎麼敢講呢經費不是問題技術才是問題 |
transcript.whisperx[15].start |
426.957 |
transcript.whisperx[15].end |
456.357 |
transcript.whisperx[15].text |
那公傳是可行的嘛。我們世襲不是最好的單位嗎?外國的月亮比較圓,要拿到外國去。外國現在月亮也沒有我們圓,已經回來了。不然你們要有作為啊。我每個禮拜都會問,我每個禮拜都會,只要你們來我一定會問你們這個大橋的市政,這個進度。都是總統講的話,你講說不要做嘛,你講。你講我天天在紫雲海罵他們講話放屁我跟你講。 |
transcript.whisperx[16].start |
457.407 |
transcript.whisperx[16].end |
481.756 |
transcript.whisperx[16].text |
騙人!騙子!你看我敢不敢講?不可以這樣嘛!部長今天又跑掉了!我會提程序問題喔!以後部長喔!你們幕僚人員部長什麼時候來這裡開會喔!你就要待在立法院!不准請假!不管誰當抓委都一樣!我想給你們方便,你們去把他隨便! |
transcript.whisperx[17].start |
484.366 |
transcript.whisperx[17].end |
508.505 |
transcript.whisperx[17].text |
我腳痛啊,不良於心,我下去我想一想不對,我就跑上來了。你們怎麼可以這樣子勒?對事情的認識的態度。市長,你能夠完全回答我問題嗎?你回答不出來嘛,你懂了沒有?有一些事情要部長來回答嘛。我為什麼有時候要提到總執行去,部長也回答不來,要院長來回答。那以後交通委員會不要開會了嘛。 |
transcript.whisperx[18].start |
510.22 |
transcript.whisperx[18].end |
522.792 |
transcript.whisperx[18].text |
請次長來位階都太高了,請局長來就好了,哪個局長代表一下就好了。不可以這樣子啊。我什麼時候在立法院的殿堂這樣子講話過,我從來沒有那麼生氣過我跟你講。好不好,謝謝召委。 |
IVOD_ID |
157559 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/157559 |
日期 |
2024-11-27 |
會議資料.會議代碼 |
委員會-11-2-23-11 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
11 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
23 |
會議資料.標題 |
第11屆第2會期交通委員會第11次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-11-27T13:39:08+08:00 |
結束時間 |
2024-11-27T13:47:51+08:00 |
支援功能[0] |
ai-transcript |