IVOD_ID |
161893 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/161893 |
日期 |
2025-05-23 |
會議資料.會議代碼 |
院會-11-3-13 |
會議資料.會議代碼:str |
第11屆第3會期第13次會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
13 |
會議資料.種類 |
院會 |
會議資料.標題 |
第11屆第3會期第13次會議 |
影片種類 |
Clip |
開始時間 |
2025-05-23T16:59:25+08:00 |
結束時間 |
2025-05-23T17:02:32+08:00 |
影片長度 |
00:03:07 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/f6b7147a760cfa56eaedf347095b6f7fcbc36a90db5ea65534a68128191fae4a07c68077156111bd5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
林俊憲 |
委員發言時間 |
16:59:25 - 17:02:32 |
會議時間 |
2025-05-23T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第13次會議(事由:一、討論事項:本院國民黨黨團,針對第11屆第3會期第9次會議報告事項第2案「總統咨,為司法院大法官含院長、副院長,現有缺額7名,茲依據中華民國憲法增修條文第5條規定,提名蔡秋明、蘇素娥、蕭文生、鄭純惠、林麗瑩、陳慈陽、詹鎮榮7位為司法院大法官,並以蔡秋明為院長、蘇素娥為副院長,咨請同意案。」院會所作之決定提出復議。是否有當?請公決案等18案。二、5月23日上午9時至10時為國是論壇時間。三、5月27日下午5時至6時為處理臨時提案時間。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
0.87471875 |
transcript.pyannote[0].end |
2.24159375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
2.79846875 |
transcript.pyannote[1].end |
3.43971875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
4.04721875 |
transcript.pyannote[2].end |
9.39659375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
10.24034375 |
transcript.pyannote[3].end |
11.72534375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
12.23159375 |
transcript.pyannote[4].end |
13.15971875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
13.54784375 |
transcript.pyannote[5].end |
23.45346875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
24.49971875 |
transcript.pyannote[6].end |
35.68784375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
36.46409375 |
transcript.pyannote[7].end |
41.03721875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
41.47596875 |
transcript.pyannote[8].end |
42.91034375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
43.16346875 |
transcript.pyannote[9].end |
46.45409375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
46.94346875 |
transcript.pyannote[10].end |
48.27659375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
49.33971875 |
transcript.pyannote[11].end |
50.13284375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
50.28471875 |
transcript.pyannote[12].end |
52.14096875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
52.69784375 |
transcript.pyannote[13].end |
60.81471875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
61.47284375 |
transcript.pyannote[14].end |
62.26596875 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
62.51909375 |
transcript.pyannote[15].end |
67.58159375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
67.75034375 |
transcript.pyannote[16].end |
69.11721875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
69.64034375 |
transcript.pyannote[17].end |
71.05784375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
71.54721875 |
transcript.pyannote[18].end |
72.40784375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
72.79596875 |
transcript.pyannote[19].end |
74.28096875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
74.66909375 |
transcript.pyannote[20].end |
76.69409375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
77.53784375 |
transcript.pyannote[21].end |
79.15784375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
79.59659375 |
transcript.pyannote[22].end |
82.56659375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
83.52846875 |
transcript.pyannote[23].end |
84.42284375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
84.92909375 |
transcript.pyannote[24].end |
86.86971875 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
87.51096875 |
transcript.pyannote[25].end |
88.08471875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
88.72596875 |
transcript.pyannote[26].end |
90.02534375 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
90.34596875 |
transcript.pyannote[27].end |
92.03346875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
93.33284375 |
transcript.pyannote[28].end |
93.99096875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
94.19346875 |
transcript.pyannote[29].end |
96.87659375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
97.99034375 |
transcript.pyannote[30].end |
98.93534375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
100.01534375 |
transcript.pyannote[31].end |
100.89284375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
101.61846875 |
transcript.pyannote[32].end |
102.56346875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
103.05284375 |
transcript.pyannote[33].end |
104.35221875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
105.04409375 |
transcript.pyannote[34].end |
106.66409375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
107.57534375 |
transcript.pyannote[35].end |
109.36409375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
110.00534375 |
transcript.pyannote[36].end |
111.01784375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
111.50721875 |
transcript.pyannote[37].end |
113.05971875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
113.51534375 |
transcript.pyannote[38].end |
115.05096875 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
115.59096875 |
transcript.pyannote[39].end |
116.68784375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
116.89034375 |
transcript.pyannote[40].end |
117.91971875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
118.47659375 |
transcript.pyannote[41].end |
119.48909375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
120.33284375 |
transcript.pyannote[42].end |
121.19346875 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
121.73346875 |
transcript.pyannote[43].end |
122.56034375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
123.40409375 |
transcript.pyannote[44].end |
124.48409375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
125.09159375 |
transcript.pyannote[45].end |
126.37409375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
126.88034375 |
transcript.pyannote[46].end |
127.60596875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
127.82534375 |
transcript.pyannote[47].end |
128.77034375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
129.31034375 |
transcript.pyannote[48].end |
130.05284375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
130.44096875 |
transcript.pyannote[49].end |
131.35221875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
131.57159375 |
transcript.pyannote[50].end |
133.66409375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
134.77784375 |
transcript.pyannote[51].end |
135.38534375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
136.07721875 |
transcript.pyannote[52].end |
136.85346875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
136.98846875 |
transcript.pyannote[53].end |
138.92909375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
139.43534375 |
transcript.pyannote[54].end |
140.51534375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
141.03846875 |
transcript.pyannote[55].end |
142.45596875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
142.96221875 |
transcript.pyannote[56].end |
144.41346875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
145.00409375 |
transcript.pyannote[57].end |
146.25284375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
146.43846875 |
transcript.pyannote[58].end |
147.40034375 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
147.87284375 |
transcript.pyannote[59].end |
150.01596875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
150.35346875 |
transcript.pyannote[60].end |
151.46721875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
152.05784375 |
transcript.pyannote[61].end |
153.94784375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
154.52159375 |
transcript.pyannote[62].end |
159.19596875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
159.68534375 |
transcript.pyannote[63].end |
160.76534375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
161.82846875 |
transcript.pyannote[64].end |
162.45284375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
162.85784375 |
transcript.pyannote[65].end |
164.15721875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
164.41034375 |
transcript.pyannote[66].end |
165.40596875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
165.60846875 |
transcript.pyannote[67].end |
166.57034375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
167.17784375 |
transcript.pyannote[68].end |
168.96659375 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
169.13534375 |
transcript.pyannote[69].end |
171.21096875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
171.41346875 |
transcript.pyannote[70].end |
172.34159375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
172.93221875 |
transcript.pyannote[71].end |
177.53909375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
178.99034375 |
transcript.pyannote[72].end |
184.67721875 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
185.01471875 |
transcript.pyannote[73].end |
186.29721875 |
transcript.whisperx[0].start |
0.939 |
transcript.whisperx[0].end |
22.794 |
transcript.whisperx[0].text |
去年的年底 去年行政院在8月30號就發文給各縣市政府行政院那東西就說了 他提的幾項一般性補助的原則其中這個公文裡面就告訴各縣市政府我講的時間點是去年的8月30號 |
transcript.whisperx[1].start |
24.651 |
transcript.whisperx[1].end |
45.385 |
transcript.whisperx[1].text |
他跟國管理政府說 我們的一般性補助 若恰恕立法院審議結果有所刪減就按照審議結果做調整今天就是藍白的立委 你把這一般性補助權拆掉鄉親的苦力就說了 說你若再刪減 我對你們國管理政府的補助 我就要對著走 |
transcript.whisperx[2].start |
49.397 |
transcript.whisperx[2].end |
76.562 |
transcript.whisperx[2].text |
但是啦 鄉親的口罩我們可以拿回來行政院有國家要新辦的業務啦 教育啦 國防啦那個關懷弱勢啦 等等但是啦 齊頭市的這位抬25%2 27%2這實在很沒公平你這樣抬下去之後變成啦 預算三最多的是屏東 高雄跟台南 |
transcript.whisperx[3].start |
77.588 |
transcript.whisperx[3].end |
104.159 |
transcript.whisperx[3].text |
啊 屏東 格雄 台南 這裡都最支持你行政院預算這樣就不對了啦所以行政院如果非砍不可 照你講什麼人抓出來 我們都要找他算帳國民黨 民進 欸 國 南 北兩黨要砍預算應該要以 國管制 國民黨的立委 蔣的釋出的筆勒他才這樣下去台 不才對 |
transcript.whisperx[4].start |
107.785 |
transcript.whisperx[4].end |
131.681 |
transcript.whisperx[4].text |
都國民黨眼睛在抬無聲的啊所以行政院啊 應該要趕快調整啦這個一般性補助款 給國管局 你如果要抬薪你現在 變成這麼大的 品就這麼大你藍白把行政院的 要他砍掉939億怎麼可能的 他一定對地方的補助會檢討的 |
transcript.whisperx[5].start |
134.884 |
transcript.whisperx[5].end |
159.957 |
transcript.whisperx[5].text |
所以啊 國民黨啊 現在問題要發 事情就是你們抓出來所以我也在這裡向市長講 要堅定的步驟 應該是按照國管區 國民黨 立法會釋出的比例 都一定是台府省的要讓他們付出代價 要讓各縣市的選民了解你們選出什麼樣的國民黨立委 在亂砍預算 |
transcript.whisperx[6].start |
161.874 |
transcript.whisperx[6].end |
177.413 |
transcript.whisperx[6].text |
所以為什麼要大罷免的火越燒越烈大罷免的必要性有日本的總預算大家就看得出來大罷免一定要大成功國家才有希望啦 謝謝啦 |