| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/be8492a9d81d8eab5436ebaac8b2d9371ff0707298ac19832ae224b9eab90f618a87edb53361b94a5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
陳亭妃 |
| 委員發言時間 |
10:28:45 - 10:38:55 |
| 影片長度 |
610 |
| 會議時間 |
2024-11-20T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第2會期財政、內政、經濟、教育及文化、交通、社會福利及衛生環境委員會第1次聯席會議（事由：一、邀請相關部會首長就「中央政府前瞻基礎建設計畫第4期特別預算執行情形及成效」進行專題報告，並備質詢。
二、審查行政院函請審議「中央政府前瞻基礎建設計畫第5期特別預算案(114年度)」（僅詢答）。
【預算提案截止時間：11月27日（三）中午12時】
【11月20日及21日二天一次會】） |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
2.96721875 |
| transcript.pyannote[0].end |
6.59534375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
7.23659375 |
| transcript.pyannote[1].end |
8.53596875 |
| transcript.pyannote[2].speaker |
SPEAKER_03 |
| transcript.pyannote[2].start |
11.03346875 |
| transcript.pyannote[2].end |
11.65784375 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
12.14721875 |
| transcript.pyannote[3].end |
14.32409375 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
14.39159375 |
| transcript.pyannote[4].end |
17.81721875 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
17.93534375 |
| transcript.pyannote[5].end |
19.47096875 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
19.84221875 |
| transcript.pyannote[6].end |
28.39784375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
29.10659375 |
| transcript.pyannote[7].end |
32.24534375 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
33.81471875 |
| transcript.pyannote[8].end |
34.62471875 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
35.16471875 |
| transcript.pyannote[9].end |
44.27721875 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
44.91846875 |
| transcript.pyannote[10].end |
45.74534375 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
46.40346875 |
| transcript.pyannote[11].end |
48.39471875 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
48.95159375 |
| transcript.pyannote[12].end |
50.14971875 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
50.72346875 |
| transcript.pyannote[13].end |
51.26346875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
51.87096875 |
| transcript.pyannote[14].end |
54.06471875 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
54.72284375 |
| transcript.pyannote[15].end |
56.35971875 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
57.64221875 |
| transcript.pyannote[16].end |
58.21596875 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
58.60409375 |
| transcript.pyannote[17].end |
61.33784375 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
62.55284375 |
| transcript.pyannote[18].end |
63.34596875 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
63.75096875 |
| transcript.pyannote[19].end |
64.49346875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
65.03346875 |
| transcript.pyannote[20].end |
66.31596875 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
66.77159375 |
| transcript.pyannote[21].end |
68.15534375 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
68.66159375 |
| transcript.pyannote[22].end |
69.64034375 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
70.34909375 |
| transcript.pyannote[23].end |
72.28971875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
72.79596875 |
| transcript.pyannote[24].end |
75.69846875 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
76.76159375 |
| transcript.pyannote[25].end |
78.78659375 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
79.78221875 |
| transcript.pyannote[26].end |
80.99721875 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
81.31784375 |
| transcript.pyannote[27].end |
82.68471875 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
83.08971875 |
| transcript.pyannote[28].end |
85.23284375 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
86.36346875 |
| transcript.pyannote[29].end |
89.68784375 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
90.71721875 |
| transcript.pyannote[30].end |
92.25284375 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
92.67471875 |
| transcript.pyannote[31].end |
96.31971875 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
96.82596875 |
| transcript.pyannote[32].end |
99.57659375 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
100.03221875 |
| transcript.pyannote[33].end |
100.85909375 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
101.65221875 |
| transcript.pyannote[34].end |
102.52971875 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
103.00221875 |
| transcript.pyannote[35].end |
103.86284375 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
104.01471875 |
| transcript.pyannote[36].end |
106.10721875 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
106.98471875 |
| transcript.pyannote[37].end |
109.66784375 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
110.19096875 |
| transcript.pyannote[38].end |
111.37221875 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
112.41846875 |
| transcript.pyannote[39].end |
121.37909375 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
121.93596875 |
| transcript.pyannote[40].end |
123.37034375 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
124.51784375 |
| transcript.pyannote[41].end |
126.89721875 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
127.80846875 |
| transcript.pyannote[42].end |
129.88409375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
130.44096875 |
| transcript.pyannote[43].end |
131.90909375 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
132.75284375 |
| transcript.pyannote[44].end |
135.33471875 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
136.44846875 |
| transcript.pyannote[45].end |
136.93784375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
138.06846875 |
| transcript.pyannote[46].end |
138.62534375 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
140.11034375 |
| transcript.pyannote[47].end |
143.09721875 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
144.61596875 |
| transcript.pyannote[48].end |
146.52284375 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
146.99534375 |
| transcript.pyannote[49].end |
148.69971875 |
| transcript.pyannote[50].speaker |
SPEAKER_03 |
| transcript.pyannote[50].start |
151.77096875 |
| transcript.pyannote[50].end |
162.35159375 |
| transcript.pyannote[51].speaker |
SPEAKER_03 |
| transcript.pyannote[51].start |
162.38534375 |
| transcript.pyannote[51].end |
182.43284375 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
182.43284375 |
| transcript.pyannote[52].end |
188.60909375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
189.11534375 |
| transcript.pyannote[53].end |
195.44346875 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
196.27034375 |
| transcript.pyannote[54].end |
202.46346875 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
203.22284375 |
| transcript.pyannote[55].end |
211.44096875 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
211.82909375 |
| transcript.pyannote[56].end |
216.80721875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
217.22909375 |
| transcript.pyannote[57].end |
220.90784375 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
221.34659375 |
| transcript.pyannote[58].end |
227.50596875 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
227.70846875 |
| transcript.pyannote[59].end |
230.05409375 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
231.58971875 |
| transcript.pyannote[60].end |
234.03659375 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
234.52596875 |
| transcript.pyannote[61].end |
236.78721875 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
236.92221875 |
| transcript.pyannote[62].end |
244.44846875 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
244.95471875 |
| transcript.pyannote[63].end |
245.76471875 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
246.64221875 |
| transcript.pyannote[64].end |
249.27471875 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
250.70909375 |
| transcript.pyannote[65].end |
251.35034375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
251.70471875 |
| transcript.pyannote[66].end |
257.07096875 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
257.81346875 |
| transcript.pyannote[67].end |
259.36596875 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
259.82159375 |
| transcript.pyannote[68].end |
260.64846875 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
261.42471875 |
| transcript.pyannote[69].end |
265.79534375 |
| transcript.pyannote[70].speaker |
SPEAKER_03 |
| transcript.pyannote[70].start |
266.13284375 |
| transcript.pyannote[70].end |
266.48721875 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
266.68971875 |
| transcript.pyannote[71].end |
269.64284375 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
270.11534375 |
| transcript.pyannote[72].end |
271.07721875 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
271.33034375 |
| transcript.pyannote[73].end |
273.10221875 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
274.01346875 |
| transcript.pyannote[74].end |
278.02971875 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
278.48534375 |
| transcript.pyannote[75].end |
282.24846875 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
283.41284375 |
| transcript.pyannote[76].end |
284.05409375 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
284.81346875 |
| transcript.pyannote[77].end |
306.48096875 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
307.99971875 |
| transcript.pyannote[78].end |
320.72346875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
321.26346875 |
| transcript.pyannote[79].end |
321.98909375 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
322.63034375 |
| transcript.pyannote[80].end |
326.84909375 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
327.13596875 |
| transcript.pyannote[81].end |
334.15596875 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
334.62846875 |
| transcript.pyannote[82].end |
354.50721875 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
355.38471875 |
| transcript.pyannote[83].end |
359.01284375 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
359.99159375 |
| transcript.pyannote[84].end |
363.61971875 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
363.77159375 |
| transcript.pyannote[85].end |
378.52034375 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
378.82409375 |
| transcript.pyannote[86].end |
390.21471875 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
389.86034375 |
| transcript.pyannote[87].end |
395.02409375 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
395.47971875 |
| transcript.pyannote[88].end |
397.04909375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
397.42034375 |
| transcript.pyannote[89].end |
409.95846875 |
| transcript.pyannote[90].speaker |
SPEAKER_03 |
| transcript.pyannote[90].start |
404.03534375 |
| transcript.pyannote[90].end |
404.08596875 |
| transcript.pyannote[91].speaker |
SPEAKER_02 |
| transcript.pyannote[91].start |
404.08596875 |
| transcript.pyannote[91].end |
404.10284375 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
410.73471875 |
| transcript.pyannote[92].end |
414.21096875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
414.54846875 |
| transcript.pyannote[93].end |
416.10096875 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
416.57346875 |
| transcript.pyannote[94].end |
423.89721875 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
424.65659375 |
| transcript.pyannote[95].end |
428.77409375 |
| transcript.pyannote[96].speaker |
SPEAKER_04 |
| transcript.pyannote[96].start |
428.77409375 |
| transcript.pyannote[96].end |
429.31409375 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
429.01034375 |
| transcript.pyannote[97].end |
432.11534375 |
| transcript.pyannote[98].speaker |
SPEAKER_04 |
| transcript.pyannote[98].start |
432.11534375 |
| transcript.pyannote[98].end |
432.45284375 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
432.45284375 |
| transcript.pyannote[99].end |
434.83221875 |
| transcript.pyannote[100].speaker |
SPEAKER_04 |
| transcript.pyannote[100].start |
435.16971875 |
| transcript.pyannote[100].end |
439.00034375 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
439.00034375 |
| transcript.pyannote[101].end |
439.75971875 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
439.96221875 |
| transcript.pyannote[102].end |
443.89409375 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
444.36659375 |
| transcript.pyannote[103].end |
445.12596875 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
445.51409375 |
| transcript.pyannote[104].end |
451.15034375 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
451.52159375 |
| transcript.pyannote[105].end |
452.66909375 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
453.20909375 |
| transcript.pyannote[106].end |
467.82284375 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
468.22784375 |
| transcript.pyannote[107].end |
472.21034375 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
472.80096875 |
| transcript.pyannote[108].end |
481.44096875 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
482.11596875 |
| transcript.pyannote[109].end |
485.27159375 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
485.52471875 |
| transcript.pyannote[110].end |
486.19971875 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
486.95909375 |
| transcript.pyannote[111].end |
489.27096875 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
489.96284375 |
| transcript.pyannote[112].end |
491.31284375 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
492.56159375 |
| transcript.pyannote[113].end |
493.13534375 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
497.67471875 |
| transcript.pyannote[114].end |
500.98221875 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
501.77534375 |
| transcript.pyannote[115].end |
503.05784375 |
| transcript.pyannote[116].speaker |
SPEAKER_02 |
| transcript.pyannote[116].start |
503.26034375 |
| transcript.pyannote[116].end |
503.56409375 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
503.56409375 |
| transcript.pyannote[117].end |
508.91346875 |
| transcript.pyannote[118].speaker |
SPEAKER_02 |
| transcript.pyannote[118].start |
507.51284375 |
| transcript.pyannote[118].end |
507.98534375 |
| transcript.pyannote[119].speaker |
SPEAKER_02 |
| transcript.pyannote[119].start |
508.91346875 |
| transcript.pyannote[119].end |
509.35221875 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
509.35221875 |
| transcript.pyannote[120].end |
512.28846875 |
| transcript.pyannote[121].speaker |
SPEAKER_02 |
| transcript.pyannote[121].start |
511.00596875 |
| transcript.pyannote[121].end |
511.44471875 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
512.54159375 |
| transcript.pyannote[122].end |
521.02971875 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
521.70471875 |
| transcript.pyannote[123].end |
523.44284375 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
523.78034375 |
| transcript.pyannote[124].end |
526.44659375 |
| transcript.pyannote[125].speaker |
SPEAKER_02 |
| transcript.pyannote[125].start |
527.17221875 |
| transcript.pyannote[125].end |
528.23534375 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
527.83034375 |
| transcript.pyannote[126].end |
529.23096875 |
| transcript.pyannote[127].speaker |
SPEAKER_02 |
| transcript.pyannote[127].start |
529.28159375 |
| transcript.pyannote[127].end |
531.25596875 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
531.62721875 |
| transcript.pyannote[128].end |
535.23846875 |
| transcript.pyannote[129].speaker |
SPEAKER_02 |
| transcript.pyannote[129].start |
535.33971875 |
| transcript.pyannote[129].end |
539.52471875 |
| transcript.pyannote[130].speaker |
SPEAKER_00 |
| transcript.pyannote[130].start |
539.23784375 |
| transcript.pyannote[130].end |
547.89471875 |
| transcript.pyannote[131].speaker |
SPEAKER_00 |
| transcript.pyannote[131].start |
548.01284375 |
| transcript.pyannote[131].end |
552.09659375 |
| transcript.pyannote[132].speaker |
SPEAKER_02 |
| transcript.pyannote[132].start |
552.13034375 |
| transcript.pyannote[132].end |
557.73284375 |
| transcript.pyannote[133].speaker |
SPEAKER_00 |
| transcript.pyannote[133].start |
557.31096875 |
| transcript.pyannote[133].end |
560.63534375 |
| transcript.pyannote[134].speaker |
SPEAKER_00 |
| transcript.pyannote[134].start |
560.78721875 |
| transcript.pyannote[134].end |
565.59659375 |
| transcript.pyannote[135].speaker |
SPEAKER_02 |
| transcript.pyannote[135].start |
563.72346875 |
| transcript.pyannote[135].end |
564.71909375 |
| transcript.pyannote[136].speaker |
SPEAKER_02 |
| transcript.pyannote[136].start |
565.49534375 |
| transcript.pyannote[136].end |
565.83284375 |
| transcript.pyannote[137].speaker |
SPEAKER_00 |
| transcript.pyannote[137].start |
565.78221875 |
| transcript.pyannote[137].end |
567.89159375 |
| transcript.pyannote[138].speaker |
SPEAKER_00 |
| transcript.pyannote[138].start |
568.54971875 |
| transcript.pyannote[138].end |
574.42221875 |
| transcript.pyannote[139].speaker |
SPEAKER_03 |
| transcript.pyannote[139].start |
574.65846875 |
| transcript.pyannote[139].end |
575.21534375 |
| transcript.pyannote[140].speaker |
SPEAKER_00 |
| transcript.pyannote[140].start |
574.92846875 |
| transcript.pyannote[140].end |
590.60534375 |
| transcript.pyannote[141].speaker |
SPEAKER_02 |
| transcript.pyannote[141].start |
591.29721875 |
| transcript.pyannote[141].end |
591.65159375 |
| transcript.pyannote[142].speaker |
SPEAKER_00 |
| transcript.pyannote[142].start |
591.36471875 |
| transcript.pyannote[142].end |
596.35971875 |
| transcript.pyannote[143].speaker |
SPEAKER_00 |
| transcript.pyannote[143].start |
596.91659375 |
| transcript.pyannote[143].end |
597.94596875 |
| transcript.pyannote[144].speaker |
SPEAKER_02 |
| transcript.pyannote[144].start |
598.48596875 |
| transcript.pyannote[144].end |
599.76846875 |
| transcript.pyannote[145].speaker |
SPEAKER_00 |
| transcript.pyannote[145].start |
598.82346875 |
| transcript.pyannote[145].end |
599.51534375 |
| transcript.pyannote[146].speaker |
SPEAKER_00 |
| transcript.pyannote[146].start |
600.35909375 |
| transcript.pyannote[146].end |
600.96659375 |
| transcript.pyannote[147].speaker |
SPEAKER_01 |
| transcript.pyannote[147].start |
600.96659375 |
| transcript.pyannote[147].end |
602.04659375 |
| transcript.pyannote[148].speaker |
SPEAKER_01 |
| transcript.pyannote[148].start |
603.39659375 |
| transcript.pyannote[148].end |
604.05471875 |
| transcript.pyannote[149].speaker |
SPEAKER_01 |
| transcript.pyannote[149].start |
604.57784375 |
| transcript.pyannote[149].end |
605.33721875 |
| transcript.pyannote[150].speaker |
SPEAKER_01 |
| transcript.pyannote[150].start |
606.06284375 |
| transcript.pyannote[150].end |
608.12159375 |
| transcript.pyannote[151].speaker |
SPEAKER_01 |
| transcript.pyannote[151].start |
608.49284375 |
| transcript.pyannote[151].end |
610.07909375 |
| transcript.whisperx[0].start |
6.003 |
| transcript.whisperx[0].end |
32.042 |
| transcript.whisperx[0].text |
主席主席長我想了解一下依照目前國民黨跟民眾黨的版本財劃法的版本台南因為你來自台南你對於台南我相信在整個財務的狀況你非常的了解在整個國民黨民眾黨的版本 |
| transcript.whisperx[1].start |
33.851 |
| transcript.whisperx[1].end |
61.1 |
| transcript.whisperx[1].text |
在台南是敬佩莫作所調整的幅度是敬佩莫作所調整的額度也是敬佩莫作如果是這樣我是來自台南的民意代表我不可能接受而且我也是台南市的一份子我更要極力反對因為在這麼不公平的一個分配制度之下 |
| transcript.whisperx[2].start |
62.605 |
| transcript.whisperx[2].end |
89.503 |
| transcript.whisperx[2].text |
我相信臺南在六度當中我們很多的建設正在發展包括我們的鐵路地下化包括我們的輕軌捷運藍線、綠線等等我們正在往前邁進包括我們所有的相關所有周邊的道路開發生活圈道路 |
| transcript.whisperx[3].start |
90.942 |
| transcript.whisperx[3].end |
105.88 |
| transcript.whisperx[3].text |
這都需要經費我們才能往上提升到一個完完全全在入網也好在我們水利資源充足的一個前提之下 |
| transcript.whisperx[4].start |
107.288 |
| transcript.whisperx[4].end |
134.835 |
| transcript.whisperx[4].text |
讓我們台南有一個新亮點台南是400年我們要如何在400年這樣的一個歷史古都當中可以幻化出一個新的科技發展我們有護國神山台南台積電南科在最近周邊的土地的成長已經超出了我們想像的範圍 |
| transcript.whisperx[5].start |
138.12 |
| transcript.whisperx[5].end |
148.505 |
| transcript.whisperx[5].text |
主席長,這樣一個幅度對於台南公不公平?你來自台南,你認為台南公不公平? |
| transcript.whisperx[6].start |
152.009 |
| transcript.whisperx[6].end |
172.649 |
| transcript.whisperx[6].text |
就我們的一個分析就是台南在直轄市裡面算比較低的啦那如果說因為現在是垂直分配和水平分配因為整個一個都還沒有定案只是在試算而已試算的一個階段那如果目前試算的階段的部分呢 |
| transcript.whisperx[7].start |
173.109 |
| transcript.whisperx[7].end |
176.091 |
| transcript.whisperx[7].text |
《中央政府前瞻基礎建設計畫第5期特別預算案》 |
| transcript.whisperx[8].start |
203.289 |
| transcript.whisperx[8].end |
229.864 |
| transcript.whisperx[8].text |
然後只要地方有配合款計畫到位配合款到位我們沒有吝嗇一分錢給各地方啊不論你是國民黨執政還是民進黨執政都是一樣這個前瞻計畫就是當時候有這樣的一個方向跟利益基礎所以才有特別條例才有我們的整個預算的編列所以現在已經到了第5期了 |
| transcript.whisperx[9].start |
231.636 |
| transcript.whisperx[9].end |
245.685 |
| transcript.whisperx[9].text |
我們沒有少給地方一毛錢啊可是我不知道為什麼在現在居然又要用財劃法去扭曲說 哇 你中央錢很多都沒給地方那請問這些前瞻我們錢到底給了誰 |
| transcript.whisperx[10].start |
250.765 |
| transcript.whisperx[10].end |
272.822 |
| transcript.whisperx[10].text |
主席長,我們錢給了誰?我們不是給地方嗎?現在不是國民黨執政比較多嗎?民進黨執政才五個縣市耶!包括直轄市跟非直轄市也就五個耶!其他都是國民黨耶!我們有少給人家嗎?沒有啊!那為什麼要這樣戴帽子呢? |
| transcript.whisperx[11].start |
274.182 |
| transcript.whisperx[11].end |
280.834 |
| transcript.whisperx[11].text |
所以今天在審這個前瞻基礎建設計畫的時候我們為台南所爭取的我們要拿計畫來欸 |
| transcript.whisperx[12].start |
283.479 |
| transcript.whisperx[12].end |
306.186 |
| transcript.whisperx[12].text |
不是用口說的就可以我們是要拿計畫每一個縣市都一樣所以我們是從整個公路總局還有鐵道局我們的軌道建設捷運的部分鐵路地下化我們也是要經過可行性評估要經過所有相關的資料顯示 |
| transcript.whisperx[13].start |
308.052 |
| transcript.whisperx[13].end |
333.419 |
| transcript.whisperx[13].text |
不是隨便講講都可以還有我們水利署的包括我們在征文南化所有聯通管的計畫還有我們的山上淨水廠供水系統昨天我們要求所有的首相要回到島主台南我們就是要水給他我們就是電愛給他水要給他很重要嘛水若不給他的市長 |
| transcript.whisperx[14].start |
335.72 |
| transcript.whisperx[14].end |
353.675 |
| transcript.whisperx[14].text |
請問他要怎麼去經營?所以我們利用了在整個特別預算將曾文南化聯通館的工程計畫、臺南山上淨水廠供水系統改善計畫還有縣市館、河川及區域排水整體改善計畫這都在特別委員會裡面我們有掃給了任何一個縣市嗎?來,署長 |
| transcript.whisperx[15].start |
360.066 |
| transcript.whisperx[15].end |
389.851 |
| transcript.whisperx[15].text |
我們有掃給了地方?哪一個地方?哪一個縣市嗎?各位委員報告我完全沒有我們依照治水的需求來補助地方政府那確實也達成一定的效果以凱米颱風為例的話像過去莫拉克的話幾乎台南市的淹水的面積超過5萬5那凱米颱風當然雨量也非常的多那我們不幸有一些地方也有淹水但是淹水面積已經降低到300多公頃左右大幅的降低各縣市都是一樣 |
| transcript.whisperx[16].start |
389.991 |
| transcript.whisperx[16].end |
409.767 |
| transcript.whisperx[16].text |
所以我們是整體規劃,對不對?整體規劃,然後整體給預算這樣才能把整個我們的治水面積可以擴大嘛,擴到最大嘛,對不對?這是一個串聯性的,不是看哪一個縣市,它是一個整個串聯的 |
| transcript.whisperx[17].start |
410.822 |
| transcript.whisperx[17].end |
432.784 |
| transcript.whisperx[17].text |
所以這個很重要好我再問一下農業部部長部長請問我們農水署跟水保署的預算這不重要這牽扯到我們整個農水署我們的農水牌還有我們的水土波期這都有關到人民的生命安全我們有掃給嗎各縣市有掃給嗎 |
| transcript.whisperx[18].start |
439.111 |
| transcript.whisperx[18].end |
452.487 |
| transcript.whisperx[18].text |
是嘛!依照各縣市的需求我覺得今天不能戴帽子你要去處理財化法都沒有問題不能戴帽子說中央都沒給地方預算這是不公平的 |
| transcript.whisperx[19].start |
453.308 |
| transcript.whisperx[19].end |
480.761 |
| transcript.whisperx[19].text |
所以我們也認為臺南因為這一筆前瞻預算我們地方說真的幫忙很多從農水署到水保署幫忙很多我們也爭取很多經費去幫忙到地方的發展所以我們認為該怎麼說就怎麼說不能有所扭曲還有一個很重要的不好意思主席國科會的這個AI運算資料中心建制計畫 |
| transcript.whisperx[20].start |
482.462 |
| transcript.whisperx[20].end |
487.868 |
| transcript.whisperx[20].text |
這個部分我們拜託我們這個國科會的部分因為國科會這個部分是由我們 |
| transcript.whisperx[21].start |
501.823 |
| transcript.whisperx[21].end |
531.118 |
| transcript.whisperx[21].text |
做主導對不對?AI運算資料中心就是我們臺南所設置的AI產業園區嘛對不對?是由我們國科會嘛可是我要問的國科會你有辦法一個人去串聯所有的各部會嗎?因為這個智慧、科技、大南方、產業、生態系這個不是只有國科會是要各個部門欸你有辦法嗎?你有辦法去串聯嗎?我們一定要各部會一起合作啦 |
| transcript.whisperx[22].start |
531.67 |
| transcript.whisperx[22].end |
533.611 |
| transcript.whisperx[22].text |
好,誰當Leader? |
| transcript.whisperx[23].start |
533.611 |
| transcript.whisperx[23].end |
550.701 |
| transcript.whisperx[23].text |
是國科會去當Leader嗎?國科會來規劃,未來這個園區國會來協助管理,是協助管理,你有辦法去串聯其他的部會嗎?你們都是平衡的耶,你們都是平行的耶,有辦法嗎?這很重要耶這是台南重大的一個AI產業園區 |
| transcript.whisperx[24].start |
552.242 |
| transcript.whisperx[24].end |
567.558 |
| transcript.whisperx[24].text |
是,我現在是也兼政委,所以以行政院政委的身份來選擇。所以你是以行政院政委來溝通所有的平行單位,是不是?是。這很重要喔。是。所以,我就是要問出這一點。 |
| transcript.whisperx[25].start |
568.599 |
| transcript.whisperx[25].end |
594.635 |
| transcript.whisperx[25].text |
因為你光由國科會這個角色你沒有辦法去串聯其他的部會但是你政委是可以的所以拜託今天會由您擔任政委來擔任這樣的角色一定是有所賦予你的責任我們期待除了預算這個在我們前瞻第5期是重點重點之後再怎麼規劃希望要給我們隨時一個計畫報告 |
| transcript.whisperx[26].start |
598.873 |
| transcript.whisperx[26].end |
601.015 |
| transcript.whisperx[26].text |
財政部提出版本 |
| IVOD_ID |
157131 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/157131 |
| 日期 |
2024-11-20 |
| 會議資料.會議代碼 |
聯席會議-11-2-20,15,19,22,23,26-1 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
2 |
| 會議資料.會次 |
1 |
| 會議資料.種類 |
聯席會議 |
| 會議資料.委員會代碼[0] |
20 |
| 會議資料.委員會代碼[1] |
15 |
| 會議資料.委員會代碼[2] |
19 |
| 會議資料.委員會代碼[3] |
22 |
| 會議資料.委員會代碼[4] |
23 |
| 會議資料.委員會代碼[5] |
26 |
| 會議資料.標題 |
第11屆第2會期財政、內政、經濟、教育及文化、交通、社會福利及衛生環境委員會第1次聯席會議 |
| 影片種類 |
Clip |
| 開始時間 |
2024-11-20T10:28:45+08:00 |
| 結束時間 |
2024-11-20T10:38:55+08:00 |
| 支援功能[0] |
ai-transcript |