IVOD_ID |
160955 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160955 |
日期 |
2025-05-06 |
會議資料.會議代碼 |
院會-11-3-10 |
會議資料.會議代碼:str |
第11屆第3會期第10次會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
10 |
會議資料.種類 |
院會 |
會議資料.標題 |
第11屆第3會期第10次會議 |
影片種類 |
Clip |
開始時間 |
2025-05-06T09:00:45+08:00 |
結束時間 |
2025-05-06T09:16:33+08:00 |
影片長度 |
00:15:48 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/db1f27f750492026abf8513ca06234cd5a34676b63038810f012da86b99b57b79f750fbe189a9eba5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
陳超明 |
委員發言時間 |
09:00:45 - 09:16:33 |
會議時間 |
2025-05-06T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第10次會議(事由:一、對行政院院長提出施政方針及施政報告繼續質詢。二、5月2日上午9時至10時為國是論壇時間。三、5月6日下午2時15分至2時30分為處理臨時提案時間。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
9.31221875 |
transcript.pyannote[0].end |
9.71721875 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
11.38784375 |
transcript.pyannote[1].end |
14.91471875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
14.96534375 |
transcript.pyannote[2].end |
16.93971875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
17.19284375 |
transcript.pyannote[3].end |
18.98159375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
28.51596875 |
transcript.pyannote[4].end |
29.10659375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
29.24159375 |
transcript.pyannote[5].end |
32.09346875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
32.95409375 |
transcript.pyannote[6].end |
35.06346875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
35.46846875 |
transcript.pyannote[7].end |
37.99971875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
38.92784375 |
transcript.pyannote[8].end |
41.39159375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
41.79659375 |
transcript.pyannote[9].end |
46.67346875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
47.41596875 |
transcript.pyannote[10].end |
50.94284375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
51.36471875 |
transcript.pyannote[11].end |
53.08596875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
53.33909375 |
transcript.pyannote[12].end |
55.07721875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
55.68471875 |
transcript.pyannote[13].end |
59.39721875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
59.81909375 |
transcript.pyannote[14].end |
62.06346875 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
62.53596875 |
transcript.pyannote[15].end |
64.24034375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
64.79721875 |
transcript.pyannote[16].end |
68.79659375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
69.43784375 |
transcript.pyannote[17].end |
72.45846875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
73.08284375 |
transcript.pyannote[18].end |
74.65221875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
75.10784375 |
transcript.pyannote[19].end |
77.21721875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
77.79096875 |
transcript.pyannote[20].end |
81.23346875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
81.45284375 |
transcript.pyannote[21].end |
83.98409375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
82.17846875 |
transcript.pyannote[22].end |
84.00096875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
84.00096875 |
transcript.pyannote[23].end |
84.01784375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
84.01784375 |
transcript.pyannote[24].end |
84.03471875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
84.03471875 |
transcript.pyannote[25].end |
84.05159375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
84.05159375 |
transcript.pyannote[26].end |
84.11909375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
84.11909375 |
transcript.pyannote[27].end |
84.13596875 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
84.37221875 |
transcript.pyannote[28].end |
86.02596875 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
86.66721875 |
transcript.pyannote[29].end |
90.95346875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
88.08471875 |
transcript.pyannote[30].end |
88.20284375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
89.80596875 |
transcript.pyannote[31].end |
96.75846875 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
96.18471875 |
transcript.pyannote[32].end |
100.58909375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
100.58909375 |
transcript.pyannote[33].end |
103.74471875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
103.91346875 |
transcript.pyannote[34].end |
105.97221875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
106.36034375 |
transcript.pyannote[35].end |
108.48659375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
108.87471875 |
transcript.pyannote[36].end |
111.94596875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
112.38471875 |
transcript.pyannote[37].end |
120.48471875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
120.88971875 |
transcript.pyannote[38].end |
122.86409375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
124.11284375 |
transcript.pyannote[39].end |
125.07471875 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
125.66534375 |
transcript.pyannote[40].end |
126.69471875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
126.77909375 |
transcript.pyannote[41].end |
127.90971875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
127.03221875 |
transcript.pyannote[42].end |
127.60596875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
127.94346875 |
transcript.pyannote[43].end |
130.33971875 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
131.04846875 |
transcript.pyannote[44].end |
132.14534375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
132.02721875 |
transcript.pyannote[45].end |
136.38096875 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
134.92971875 |
transcript.pyannote[46].end |
138.91221875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
137.44409375 |
transcript.pyannote[47].end |
142.91159375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
143.02971875 |
transcript.pyannote[48].end |
143.55284375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
144.21096875 |
transcript.pyannote[49].end |
149.57721875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
150.26909375 |
transcript.pyannote[50].end |
159.58409375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
160.41096875 |
transcript.pyannote[51].end |
163.11096875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
164.03909375 |
transcript.pyannote[52].end |
174.78846875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
175.19346875 |
transcript.pyannote[53].end |
176.52659375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
176.89784375 |
transcript.pyannote[54].end |
178.31534375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
178.68659375 |
transcript.pyannote[55].end |
180.44159375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
180.98159375 |
transcript.pyannote[56].end |
183.81659375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
184.13721875 |
transcript.pyannote[57].end |
186.66846875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
185.53784375 |
transcript.pyannote[58].end |
192.91221875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
191.27534375 |
transcript.pyannote[59].end |
191.49471875 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
193.38471875 |
transcript.pyannote[60].end |
197.60346875 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
197.80596875 |
transcript.pyannote[61].end |
198.81846875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
199.86471875 |
transcript.pyannote[62].end |
201.72096875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
201.83909375 |
transcript.pyannote[63].end |
206.71596875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
203.89784375 |
transcript.pyannote[64].end |
221.05971875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
210.10784375 |
transcript.pyannote[65].end |
211.37346875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
212.03159375 |
transcript.pyannote[66].end |
213.48284375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
221.88659375 |
transcript.pyannote[67].end |
223.13534375 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
222.29159375 |
transcript.pyannote[68].end |
222.67971875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
223.43909375 |
transcript.pyannote[69].end |
225.00846875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
225.75096875 |
transcript.pyannote[70].end |
229.17659375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
229.71659375 |
transcript.pyannote[71].end |
234.13784375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
234.37409375 |
transcript.pyannote[72].end |
236.50034375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
236.71971875 |
transcript.pyannote[73].end |
246.52409375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
247.19909375 |
transcript.pyannote[74].end |
251.75534375 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
252.43034375 |
transcript.pyannote[75].end |
255.82221875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
256.32846875 |
transcript.pyannote[76].end |
262.58909375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
262.99409375 |
transcript.pyannote[77].end |
270.40221875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
270.82409375 |
transcript.pyannote[78].end |
271.51596875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
271.73534375 |
transcript.pyannote[79].end |
272.29221875 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
273.32159375 |
transcript.pyannote[80].end |
275.98784375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
276.52784375 |
transcript.pyannote[81].end |
290.01096875 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
290.34846875 |
transcript.pyannote[82].end |
294.56721875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
295.41096875 |
transcript.pyannote[83].end |
301.31721875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
301.65471875 |
transcript.pyannote[84].end |
306.21096875 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
306.59909375 |
transcript.pyannote[85].end |
308.33721875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
308.79284375 |
transcript.pyannote[86].end |
312.96096875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
313.63596875 |
transcript.pyannote[87].end |
315.55971875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
315.86346875 |
transcript.pyannote[88].end |
316.08284375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
316.52159375 |
transcript.pyannote[89].end |
319.72784375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
320.08221875 |
transcript.pyannote[90].end |
326.15721875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
327.27096875 |
transcript.pyannote[91].end |
331.72596875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
332.14784375 |
transcript.pyannote[92].end |
337.02471875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
337.54784375 |
transcript.pyannote[93].end |
347.79096875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
348.28034375 |
transcript.pyannote[94].end |
349.91721875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
350.37284375 |
transcript.pyannote[95].end |
353.07284375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
353.49471875 |
transcript.pyannote[96].end |
361.20659375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
361.34159375 |
transcript.pyannote[97].end |
368.64846875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
369.15471875 |
transcript.pyannote[98].end |
372.74909375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
373.76159375 |
transcript.pyannote[99].end |
374.26784375 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
375.44909375 |
transcript.pyannote[100].end |
378.09846875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
378.52034375 |
transcript.pyannote[101].end |
381.30471875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
382.35096875 |
transcript.pyannote[102].end |
384.47721875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
384.81471875 |
transcript.pyannote[103].end |
391.02471875 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
390.90659375 |
transcript.pyannote[104].end |
410.65034375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
399.20909375 |
transcript.pyannote[105].end |
399.44534375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
408.00096875 |
transcript.pyannote[106].end |
408.57471875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
409.30034375 |
transcript.pyannote[107].end |
409.78971875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
410.16096875 |
transcript.pyannote[108].end |
410.34659375 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
411.08909375 |
transcript.pyannote[109].end |
419.76284375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
415.72971875 |
transcript.pyannote[110].end |
417.63659375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
419.76284375 |
transcript.pyannote[111].end |
426.79971875 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
426.39471875 |
transcript.pyannote[112].end |
435.06846875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
431.94659375 |
transcript.pyannote[113].end |
432.50346875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
435.06846875 |
transcript.pyannote[114].end |
456.80346875 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
457.15784375 |
transcript.pyannote[115].end |
460.04346875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
460.43159375 |
transcript.pyannote[116].end |
464.02596875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
464.51534375 |
transcript.pyannote[117].end |
468.16034375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
468.80159375 |
transcript.pyannote[118].end |
469.51034375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
470.20221875 |
transcript.pyannote[119].end |
475.60221875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
476.26034375 |
transcript.pyannote[120].end |
481.01909375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
481.33971875 |
transcript.pyannote[121].end |
487.21221875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
487.51596875 |
transcript.pyannote[122].end |
492.17346875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
492.37596875 |
transcript.pyannote[123].end |
494.43471875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
494.87346875 |
transcript.pyannote[124].end |
501.79221875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
502.53471875 |
transcript.pyannote[125].end |
503.09159375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
504.15471875 |
transcript.pyannote[126].end |
520.74284375 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
513.40221875 |
transcript.pyannote[127].end |
513.87471875 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
520.75971875 |
transcript.pyannote[128].end |
522.76784375 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
521.28284375 |
transcript.pyannote[129].end |
522.02534375 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
523.27409375 |
transcript.pyannote[130].end |
528.69096875 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
528.94409375 |
transcript.pyannote[131].end |
531.42471875 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
531.98159375 |
transcript.pyannote[132].end |
554.81346875 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
555.57284375 |
transcript.pyannote[133].end |
556.41659375 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
557.36159375 |
transcript.pyannote[134].end |
558.45846875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
559.33596875 |
transcript.pyannote[135].end |
560.90534375 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
561.41159375 |
transcript.pyannote[136].end |
566.91284375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
567.23346875 |
transcript.pyannote[137].end |
571.01346875 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
571.65471875 |
transcript.pyannote[138].end |
572.58284375 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
572.78534375 |
transcript.pyannote[139].end |
585.72846875 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
586.35284375 |
transcript.pyannote[140].end |
586.75784375 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
587.14596875 |
transcript.pyannote[141].end |
592.41096875 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
592.49534375 |
transcript.pyannote[142].end |
594.67221875 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
594.82409375 |
transcript.pyannote[143].end |
595.58346875 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
596.20784375 |
transcript.pyannote[144].end |
610.87221875 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
611.19284375 |
transcript.pyannote[145].end |
619.79909375 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
620.05221875 |
transcript.pyannote[146].end |
622.27971875 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
622.68471875 |
transcript.pyannote[147].end |
635.56034375 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
635.50971875 |
transcript.pyannote[148].end |
635.54346875 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
635.56034375 |
transcript.pyannote[149].end |
640.99409375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
635.86409375 |
transcript.pyannote[150].end |
636.72471875 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
639.57659375 |
transcript.pyannote[151].end |
640.25159375 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
642.24284375 |
transcript.pyannote[152].end |
648.84096875 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
648.97596875 |
transcript.pyannote[153].end |
652.35096875 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
652.67159375 |
transcript.pyannote[154].end |
656.14784375 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
657.16034375 |
transcript.pyannote[155].end |
683.83971875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
660.99096875 |
transcript.pyannote[156].end |
661.29471875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
677.25846875 |
transcript.pyannote[157].end |
677.29221875 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
677.34284375 |
transcript.pyannote[158].end |
677.64659375 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
684.66659375 |
transcript.pyannote[159].end |
685.20659375 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
685.62846875 |
transcript.pyannote[160].end |
688.12596875 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
688.56471875 |
transcript.pyannote[161].end |
691.78784375 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
692.81721875 |
transcript.pyannote[162].end |
694.16721875 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
694.48784375 |
transcript.pyannote[163].end |
696.76596875 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
696.98534375 |
transcript.pyannote[164].end |
702.79034375 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
702.94221875 |
transcript.pyannote[165].end |
706.31721875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
706.62096875 |
transcript.pyannote[166].end |
713.20221875 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
713.55659375 |
transcript.pyannote[167].end |
715.63221875 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
715.81784375 |
transcript.pyannote[168].end |
722.34846875 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
722.51721875 |
transcript.pyannote[169].end |
728.17034375 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
728.23784375 |
transcript.pyannote[170].end |
731.37659375 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
728.35596875 |
transcript.pyannote[171].end |
728.65971875 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
731.19096875 |
transcript.pyannote[172].end |
731.98409375 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
731.89971875 |
transcript.pyannote[173].end |
733.68846875 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
734.07659375 |
transcript.pyannote[174].end |
740.30346875 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
740.55659375 |
transcript.pyannote[175].end |
742.46346875 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
744.03284375 |
transcript.pyannote[176].end |
746.05784375 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
746.41221875 |
transcript.pyannote[177].end |
749.21346875 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
749.48346875 |
transcript.pyannote[178].end |
763.91159375 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
764.40096875 |
transcript.pyannote[179].end |
773.88471875 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
774.15471875 |
transcript.pyannote[180].end |
789.25784375 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
789.88221875 |
transcript.pyannote[181].end |
794.21909375 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
794.84346875 |
transcript.pyannote[182].end |
799.21409375 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
799.65284375 |
transcript.pyannote[183].end |
808.12409375 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
801.23909375 |
transcript.pyannote[184].end |
805.81221875 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
806.41971875 |
transcript.pyannote[185].end |
806.87534375 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
808.95096875 |
transcript.pyannote[186].end |
812.35971875 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
812.51159375 |
transcript.pyannote[187].end |
813.69284375 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
815.14409375 |
transcript.pyannote[188].end |
821.26971875 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
821.59034375 |
transcript.pyannote[189].end |
824.84721875 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
824.98221875 |
transcript.pyannote[190].end |
830.31471875 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
830.66909375 |
transcript.pyannote[191].end |
831.79971875 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
833.14971875 |
transcript.pyannote[192].end |
836.60909375 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
837.06471875 |
transcript.pyannote[193].end |
839.69721875 |
transcript.pyannote[194].speaker |
SPEAKER_00 |
transcript.pyannote[194].start |
839.91659375 |
transcript.pyannote[194].end |
843.05534375 |
transcript.pyannote[195].speaker |
SPEAKER_00 |
transcript.pyannote[195].start |
843.86534375 |
transcript.pyannote[195].end |
849.60284375 |
transcript.pyannote[196].speaker |
SPEAKER_00 |
transcript.pyannote[196].start |
850.21034375 |
transcript.pyannote[196].end |
850.80096875 |
transcript.pyannote[197].speaker |
SPEAKER_00 |
transcript.pyannote[197].start |
851.76284375 |
transcript.pyannote[197].end |
852.99471875 |
transcript.pyannote[198].speaker |
SPEAKER_00 |
transcript.pyannote[198].start |
853.46721875 |
transcript.pyannote[198].end |
855.00284375 |
transcript.pyannote[199].speaker |
SPEAKER_00 |
transcript.pyannote[199].start |
855.62721875 |
transcript.pyannote[199].end |
857.63534375 |
transcript.pyannote[200].speaker |
SPEAKER_00 |
transcript.pyannote[200].start |
857.97284375 |
transcript.pyannote[200].end |
863.37284375 |
transcript.pyannote[201].speaker |
SPEAKER_00 |
transcript.pyannote[201].start |
863.82846875 |
transcript.pyannote[201].end |
866.05596875 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
866.35971875 |
transcript.pyannote[202].end |
868.35096875 |
transcript.pyannote[203].speaker |
SPEAKER_00 |
transcript.pyannote[203].start |
868.97534375 |
transcript.pyannote[203].end |
871.48971875 |
transcript.pyannote[204].speaker |
SPEAKER_00 |
transcript.pyannote[204].start |
871.75971875 |
transcript.pyannote[204].end |
875.92784375 |
transcript.pyannote[205].speaker |
SPEAKER_00 |
transcript.pyannote[205].start |
875.97846875 |
transcript.pyannote[205].end |
886.47471875 |
transcript.pyannote[206].speaker |
SPEAKER_00 |
transcript.pyannote[206].start |
887.01471875 |
transcript.pyannote[206].end |
900.97034375 |
transcript.pyannote[207].speaker |
SPEAKER_00 |
transcript.pyannote[207].start |
901.40909375 |
transcript.pyannote[207].end |
901.98284375 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
902.37096875 |
transcript.pyannote[208].end |
904.71659375 |
transcript.pyannote[209].speaker |
SPEAKER_01 |
transcript.pyannote[209].start |
903.92346875 |
transcript.pyannote[209].end |
908.36159375 |
transcript.pyannote[210].speaker |
SPEAKER_01 |
transcript.pyannote[210].start |
908.53034375 |
transcript.pyannote[210].end |
911.38221875 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
911.92221875 |
transcript.pyannote[211].end |
913.37346875 |
transcript.pyannote[212].speaker |
SPEAKER_01 |
transcript.pyannote[212].start |
913.94721875 |
transcript.pyannote[212].end |
916.66409375 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
916.61346875 |
transcript.pyannote[213].end |
924.79784375 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
924.96659375 |
transcript.pyannote[214].end |
927.71721875 |
transcript.pyannote[215].speaker |
SPEAKER_00 |
transcript.pyannote[215].start |
927.97034375 |
transcript.pyannote[215].end |
928.79721875 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
929.20221875 |
transcript.pyannote[216].end |
931.78409375 |
transcript.pyannote[217].speaker |
SPEAKER_00 |
transcript.pyannote[217].start |
931.88534375 |
transcript.pyannote[217].end |
933.50534375 |
transcript.pyannote[218].speaker |
SPEAKER_00 |
transcript.pyannote[218].start |
945.41909375 |
transcript.pyannote[218].end |
946.66784375 |
transcript.pyannote[219].speaker |
SPEAKER_00 |
transcript.pyannote[219].start |
947.24159375 |
transcript.pyannote[219].end |
947.41034375 |
transcript.whisperx[0].start |
11.993 |
transcript.whisperx[0].end |
17.414 |
transcript.whisperx[0].text |
首先有請卓院長卓院長早 卓院長好4月25日經濟指導總執行 |
transcript.whisperx[1].start |
38.959 |
transcript.whisperx[1].end |
45.795 |
transcript.whisperx[1].text |
我有問你,偷中日美,你講要面向平壤,要背對著台灣海峽, |
transcript.whisperx[2].start |
47.475 |
transcript.whisperx[2].end |
76.057 |
transcript.whisperx[2].text |
要告訴中國政府我們不走回頭路我們不走冤枉路我們不走臭的路再來你說要把台北城當為首都那時你回答不置可恍我再請教一下這個是不是要準備台灣獨立的一個宣告尤其從你昨天早上講出來的顯示特別重要你是不是在鋪陳這個 |
transcript.whisperx[3].start |
77.861 |
transcript.whisperx[3].end |
81.993 |
transcript.whisperx[3].text |
台北當然是中華民國台灣的首都這個沒有錯第二點我們的市場 |
transcript.whisperx[4].start |
86.721 |
transcript.whisperx[4].end |
111.302 |
transcript.whisperx[4].text |
看中國看太久我們必須轉向面向海洋走向世界你等於意思要跟中國所有的包括經濟交流要斷絕來往的意思在我們的經濟要走向全世界不能太依賴一個國家這裡面牽涉到我第二個問題也比較現代化的問題今天有很多報紙說賴總統五二年就職一週年 |
transcript.whisperx[5].start |
112.463 |
transcript.whisperx[5].end |
130.11 |
transcript.whisperx[5].text |
我們的內閣要換成戰鬥內閣要找會有論事的官員準備為大罷免啟動那大內閣會不會換你的覺得前面這一段我們的內閣是在每個自己的工作崗位上 |
transcript.whisperx[6].start |
131.109 |
transcript.whisperx[6].end |
157.308 |
transcript.whisperx[6].text |
去做競爭的你現在的內閣叫做什麼內閣告訴我才曉得行動創新內閣我們是以行動來現在以後戰鬥內閣跟你現在的內閣有什麼差別哪一個跟你現在的內閣未來報紙在寫說你們要組成戰鬥內閣準備要大連案好好的執政黨要發威一下要把在野黨的國會議員全部殲滅掉 |
transcript.whisperx[7].start |
160.438 |
transcript.whisperx[7].end |
161.764 |
transcript.whisperx[7].text |
我告訴你一件事 我也覺得很奇怪 |
transcript.whisperx[8].start |
164.113 |
transcript.whisperx[8].end |
192.671 |
transcript.whisperx[8].text |
在這裡面有幾個七十歲以上的國會的立法委員身兼百戰每一個人都當過六七八屆的一個立法委員我們吃小麥 今天要拔麵你們拔麵就要硬到這樣嘛所以我說你們真的要檢討一下要怎麼做前幾個一年 新的才有這麼多新的一年沒有必要做 協調溝通很重要 |
transcript.whisperx[9].start |
193.744 |
transcript.whisperx[9].end |
220.825 |
transcript.whisperx[9].text |
針對每一位委員經由選舉而且是憲法賦予的權利行政院當然尊重所以我是希望說我們在這裡行政院的業務跟這裡大選從來不涉及所謂罷免的議題你是尊重也沒有中立的立場你還上台去演講講的是中央政府總預算跟關稅的問題台灣啊這樣很亂我要回到主題好不好今天的交通執行我們的陳部長麻煩你也來一下 |
transcript.whisperx[10].start |
222.246 |
transcript.whisperx[10].end |
230.929 |
transcript.whisperx[10].text |
我第一個 我說苗栗的牧利值得中央支持 我很常常要講這個問題我們95年到112年苗栗為中央竄稅4147億中央給我們補資才2022億我們苗栗縣倒貼給中央是2125億 |
transcript.whisperx[11].start |
247.884 |
transcript.whisperx[11].end |
258.008 |
transcript.whisperx[11].text |
加育縣跟屏東縣都是三級縣市的財政他們95年加育縣963億中央補賦給他2430億他們給他一村西班牙才幾億屏東縣2627億交給中央中央補賦給他3589億他們可以 |
transcript.whisperx[12].start |
273.353 |
transcript.whisperx[12].end |
281.699 |
transcript.whisperx[12].text |
我每次都在這個執行台都拜託院長、部長我們的交通建設要好好給我們加油下去我們是邊緣網這時候是母女的孩子沒有糖吃所以我特別跟你拜託 |
transcript.whisperx[13].start |
295.438 |
transcript.whisperx[13].end |
312.685 |
transcript.whisperx[13].text |
我今天不管財政收支發昏了未來怎麼做但是我把苗栗的實況給你苗栗的負債五百億這邊你再分一下兩千多億都沒有負債我們有努力有為地方建設地方繁榮發財稅收一直在增加 |
transcript.whisperx[14].start |
316.587 |
transcript.whisperx[14].end |
325.879 |
transcript.whisperx[14].text |
你的回饋反而越低啊這個太不公平了不管未來怎麼樣我仍然希望左院長你繼續留任多多照顧苗玉仙 |
transcript.whisperx[15].start |
327.315 |
transcript.whisperx[15].end |
347.351 |
transcript.whisperx[15].text |
第二個問題我用大西谷計畫我希望行政院要出來協調因為我們有兩個科學園區一個產業園區但是我們兩個科學園區大概開發出來有350公頃可用之地但是國科會只要用150公頃但是這200公頃 |
transcript.whisperx[16].start |
350.973 |
transcript.whisperx[16].end |
373.844 |
transcript.whisperx[16].text |
國科會說這個開挖不是我認的國化會是上級指導的單位我說這個拜託今天國民司長也沒有來他當過國民司長在你坐在那裡我沒注意看到你現在當民司長說你幫我協調一下你授權給他協調一下好不好院長 |
transcript.whisperx[17].start |
375.492 |
transcript.whisperx[17].end |
381.215 |
transcript.whisperx[17].text |
不過我不知道要怎麼來開發,要怎麼來經營這對我們苗栗縣未來的發展太重要了 |
transcript.whisperx[18].start |
382.403 |
transcript.whisperx[18].end |
410.435 |
transcript.whisperx[18].text |
我今天來講是 拜託你我們的港執委 泰內行 國民司長所有人來幫我協調這件事情好不好跟委員報告兩件事第一個 行政院對苗栗不是善意是應該有的基本態度我們希望均衡地方 大家都同樣的起來所以 在我設想的這個財政收支方法如果照行政院的構想會讓財政弱的向縣市得到更多而不是向現在齊頭市的第二件 |
transcript.whisperx[19].start |
411.535 |
transcript.whisperx[19].end |
430.988 |
transcript.whisperx[19].text |
這個桃竹苗大細股可以說是在520之後行政院第一個核定的六大產業生活區所以我們會照這個速度來持續的往前推進速度我沒有主管機關啦我事情不會做的啦所以我特別請國民市長來幫我們協調一下如果是六大區域這個產業生活區的話它的規劃機關是國發會這樣啦但落到目的世界主管機關它就會不一樣 |
transcript.whisperx[20].start |
435.191 |
transcript.whisperx[20].end |
463.505 |
transcript.whisperx[20].text |
我很謝謝你 重大計畫由你手裡合整但是我苗栗縣碰到困難我只拜託國民司長來協調國科會 省政府會跟苗栗縣政府各個部位來協調誰當主管機關我才有辦法拖重大西部計畫完成賴總統及你們合定左院長你合定好不好阿卓 那個國民司長你們覺得要求求啊 |
transcript.whisperx[21].start |
464.945 |
transcript.whisperx[21].end |
475.11 |
transcript.whisperx[21].text |
議長說好 要幫我辦一下 跟他們合謀一下好不好再來我們交通部的陳部長你從市議員直升到交通部長 我走一下 |
transcript.whisperx[22].start |
476.311 |
transcript.whisperx[22].end |
502.826 |
transcript.whisperx[22].text |
我當時還以為不怎麼樣但是你到苗栗會刊的時候我發覺你回答任何問題非常成本非常實在很值得肯定我相信你經過歷練了以後你將來必有大用的但是你竟然會刊你都答應了你要把它做出來看你信用不信用就看在這裡就是 |
transcript.whisperx[23].start |
504.498 |
transcript.whisperx[23].end |
520.246 |
transcript.whisperx[23].text |
黃磊交流道你說要核定這個拜託我就不再多講了我希望能把這幾個重大的建設推動完成我就可以功成身退我就功德圓滿我不曉得要用哪一個這個你不答應喔第二個 |
transcript.whisperx[24].start |
523.388 |
transcript.whisperx[24].end |
552.498 |
transcript.whisperx[24].text |
西吳溪的合體公共西吳鄉只有五千多人最近兩年前才有一個那個7-11才在那邊開他要發展我已經推動三期的合體公共第四期的合體公共現在在可行性評估 好啊拜託一度你說你很照顧苗栗 關心苗栗我也謝謝你你下來我請你吃客家菜這條板他完成 |
transcript.whisperx[25].start |
552.918 |
transcript.whisperx[25].end |
572.346 |
transcript.whisperx[25].text |
照顧邊鄉的地區好不好再來西吳鄉為什麼選票雖然很少但是這個地方沒有發展我覺得我要改進這個地方環境就是西吳區人外道路安城北日南村便利遊客與鄉親這個屬於高工級的 |
transcript.whisperx[26].start |
575.083 |
transcript.whisperx[26].end |
585.193 |
transcript.whisperx[26].text |
那高工期裡面我希望特別注意我相信現在用很多工法可以把地方改變出來當然有少許阻力你一站不動 |
transcript.whisperx[27].start |
587.271 |
transcript.whisperx[27].end |
610.557 |
transcript.whisperx[27].text |
你未來是很前途的,我來講這個好要幫忙完成再來我講得很快,因為再來後龍好望角那天你會館沒有到現場但是當地的鄉鎮長、議員、代表、里長一直拜託你好望角這個觀光風景區非常的漂亮、非常的好 |
transcript.whisperx[28].start |
612.298 |
transcript.whisperx[28].end |
636.652 |
transcript.whisperx[28].text |
這兩條馬路一開跟廣天宮是結合在一起這兩個距離走路的話不到30分鐘可以增加很多遊覽的人口卓院長你那麼忙你還沒到苗栗我記得一次下次來多停留一下來看這個美好的地方你看完說不一定你不想當行政院長也不一定我請部長跟委員我們來規劃好不好再來 |
transcript.whisperx[29].start |
642.247 |
transcript.whisperx[29].end |
655.926 |
transcript.whisperx[29].text |
就是台13線銅鑼鄉到山陸火車站拓寬解開地方交通瓶檢台13線唯一沒有失線道只有這一段但是到四期裡面我們曉得會遇到很多指令 |
transcript.whisperx[30].start |
657.25 |
transcript.whisperx[30].end |
684.738 |
transcript.whisperx[30].text |
我們陳部長說答應人家協志承諾也要馬上進行這個一定要把它完成那裡面那一段我不勉強因為在市區裡面你再偷翻那裏的兵越來越多我再跟他們討論一個辦法出來好不好左院長這樣給你一個印象你知道說要怎麼做的事情這幾天起來是很重要的我不隨便提問題但是我提問題是直接進入核心再來 |
transcript.whisperx[31].start |
685.734 |
transcript.whisperx[31].end |
690.306 |
transcript.whisperx[31].text |
通宵產業生命之路通宵正直通銅鑼科學人群這兩個鄉鎮 |
transcript.whisperx[32].start |
693.184 |
transcript.whisperx[32].end |
721.427 |
transcript.whisperx[32].text |
是隔壘的那銅鑼現在一直在發展它隔壁的通宵輪口一直在流失如果能開一條道路從銅鑼科學園區接鄰的通宵鎮我相信對通宵鎮的就業繁榮、地方發展非常重要這條你不去看我會再排一次左院長有興趣到苗栗你們都來把這道路一開 |
transcript.whisperx[33].start |
722.648 |
transcript.whisperx[33].end |
742.199 |
transcript.whisperx[33].text |
你們的票數越多我的票數也應該不會少我們兩個共盟齊力因為這個是你們的地盤不是我的地盤好不好這條很重要你可能看出來寫出來你覺得說這個好像很簡單其實每一條都是有它的功用存在 |
transcript.whisperx[34].start |
744.073 |
transcript.whisperx[34].end |
763.673 |
transcript.whisperx[34].text |
再來這個Railbike 三立的話 現在是台灣最紅了 國際遊覽客很多張詩是不同意 報告院長 是我找鐵路局去協調工夫還有觀光局協調溝通 把它完成下來 不曉得 喔 人山人海 |
transcript.whisperx[35].start |
764.714 |
transcript.whisperx[35].end |
788.646 |
transcript.whisperx[35].text |
人潮非常多,我們希望能跟台中不要為了選舉這樣,地方這樣結合起來,這樣變得有難。你只要完成,說是卓院長的時代完成了,陳部長你的時代完成了,你只要談出來,不要去計較地方各種,他做還是我做的,誰做都一樣,我永遠都保持這樣的心。 |
transcript.whisperx[36].start |
789.947 |
transcript.whisperx[36].end |
813.247 |
transcript.whisperx[36].text |
所以這一條連接到台中、台安到台中尤其陳部長你帶上人,你這個把客戶下來不要分黨派,也沒有誰做的那一段真的非常漂亮,左院長你去走一趟你會喜歡苗栗,你會幫忙苗栗好不好好,再來 |
transcript.whisperx[37].start |
815.202 |
transcript.whisperx[37].end |
842.876 |
transcript.whisperx[37].text |
台61縣縣港服務區中央地方共同民旅這是在西濱台61縣一個非常漂亮的地方我爭取了同意了以後但是到現在在推展容纏有困難那裡的漁港陳部長你是在雞皮疙瘩你很了解這裡這個你下來來看一下給他這個人潮這個漁港都很漂亮都很好 |
transcript.whisperx[38].start |
844.162 |
transcript.whisperx[38].end |
870.992 |
transcript.whisperx[38].text |
真的都是很漂亮你一來看你大概曉得因為時間的關係我大概就這樣再來最美服務機日落大道那個報告院長 部長那個整台寫兵你看到海景的時候你不小心就會發生錯誤太漂亮了但是這個所在面積太小應該在空中擴大範圍在西濱快速道路 |
transcript.whisperx[39].start |
871.952 |
transcript.whisperx[39].end |
885.988 |
transcript.whisperx[39].text |
在白沙屯的隔壁新埔的地方非常漂亮看到好尤其在落日大灶他今天的那個太陽沒有照那個夕陽西下沒有照出來很漂亮很多人在那一邊 |
transcript.whisperx[40].start |
887.476 |
transcript.whisperx[40].end |
912.342 |
transcript.whisperx[40].text |
這個我麻煩土地的問題偶爾會請苗栗縣政府去解決你將會有補助給我們補助者會變成吸收景觀非常很多人在那邊再來做觀光休閒好不好那我講在條幅講到盡頭希望苗栗縣未來不僅保持原來的傳統的智慧農業還有客鄉的文化我們更希望朝科技層整個 |
transcript.whisperx[41].start |
914.008 |
transcript.whisperx[41].end |
933.198 |
transcript.whisperx[41].text |
大溪谷的整體建設來共同發展所以我這件事要再感謝你再說大溪谷計畫裡面自然後融有一個產業科技研究再來的統銷 再來的萬利你記得你們執政黨在這海信的選票永遠是高知的 |
transcript.whisperx[42].start |
945.489 |
transcript.whisperx[42].end |
945.751 |
transcript.whisperx[42].text |
好,謝謝陳委員 |