| IVOD_ID |
153208 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/153208 |
| 日期 |
2024-05-29 |
| 會議資料.會議代碼 |
委員會-11-1-20-14 |
| 會議資料.會議代碼:str |
第11屆第1會期財政委員會第14次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
1 |
| 會議資料.會次 |
14 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
20 |
| 會議資料.委員會代碼:str[0] |
財政委員會 |
| 會議資料.標題 |
第11屆第1會期財政委員會第14次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2024-05-29T10:21:43+08:00 |
| 結束時間 |
2024-05-29T10:33:46+08:00 |
| 影片長度 |
00:12:03 |
| 支援功能[0] |
ai-transcript |
| 支援功能[1] |
gazette |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/2c978e04ca5e1331dcc7949278781eaa5c2a8e696f21355c333bc5d453e1b195e0339c327a9d32f65ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
賴士葆 |
| 委員發言時間 |
10:21:43 - 10:33:46 |
| 會議時間 |
2024-05-29T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第1會期財政委員會第14次全體委員會議（事由：邀請行政院主計總處陳主計長淑姿率所屬單位主管列席業務報告，並備質詢。） |
| gazette.lineno |
408 |
| gazette.blocks[0][0] |
賴委員士葆：（10時21分）謝謝主席及各位先進，有請陳主計長。 |
| gazette.blocks[1][0] |
主席：有請陳主計長。 |
| gazette.blocks[2][0] |
陳主計長淑姿：委員好。 |
| gazette.blocks[3][0] |
賴委員士葆：主計長早，很多委員對你必問的題目GDP、CPI，今年的GDP大概預估多少？台經院預估百分之三點二多，我看總額大概3.5%，差不多這個數字嗎？ |
| gazette.blocks[4][0] |
陳主計長淑姿：我們本來預測的數字是3.43%。 |
| gazette.blocks[5][0] |
賴委員士葆：3.43%？ |
| gazette.blocks[6][0] |
陳主計長淑姿：是。 |
| gazette.blocks[7][0] |
賴委員士葆：我還比你高估。 |
| gazette.blocks[8][0] |
陳主計長淑姿：因為第一季就6.51%，所以狀況非常好，如果以後月份不動的話，根據前面幾個數據來做調整，就有可能會超過3.5%。 |
| gazette.blocks[9][0] |
賴委員士葆：所以今年有機會到3.5%？ |
| gazette.blocks[10][0] |
陳主計長淑姿：是。 |
| gazette.blocks[11][0] |
賴委員士葆：有沒有可能到4%？ |
| gazette.blocks[12][0] |
陳主計長淑姿：我就不敢講了。 |
| gazette.blocks[13][0] |
賴委員士葆：機會不大啦！為什麼機會不大？我跟你講，漲電價對GDP是plus還是minus？ |
| gazette.blocks[14][0] |
陳主計長淑姿：應該是minus。 |
| gazette.blocks[15][0] |
賴委員士葆：4月份開始漲電價了，5月份夏季電價開始實施，這對CPI都是很大的衝擊，同樣的會連帶影響到GDP。 |
| gazette.blocks[16][0] |
陳主計長淑姿：第一，因為如果說…… |
| gazette.blocks[17][0] |
賴委員士葆：你先回答這個問題，電價漲對GDP是加還是減？你要告訴我這一點。 |
| gazette.blocks[18][0] |
陳主計長淑姿：應該是負面的。 |
| gazette.blocks[19][0] |
賴委員士葆：負面的啦！ |
| gazette.blocks[20][0] |
陳主計長淑姿：因為它會增加成本。 |
| gazette.blocks[21][0] |
賴委員士葆：我們看總薪資7年來減少，你會發現臺灣一直講經濟成長多讚、股市又創新高2萬多點，可是造成的是富者越富、窮者越窮，主計長應該同意我的說法吧！是這樣吧？ |
| gazette.blocks[22][0] |
陳主計長淑姿：報告委員，實質總薪資是正成長，因為是七萬二千多元，這是經常性薪資，如果換算物價指數的調整率，實質薪資總成長0.88%。 |
| gazette.blocks[23][0] |
賴委員士葆：今年第一季是負成長。 |
| gazette.blocks[24][0] |
陳主計長淑姿：經常性收支是-0.09%。 |
| gazette.blocks[25][0] |
賴委員士葆：主計長等於卓政府的帳房，作為帳房，錢要管很緊，新任的部會首長陸陸續續上任，過去的預算是編給上一任的部長用，我問你，他能不能調整？可不可以調整？能不能，告訴我。 |
| gazette.blocks[26][0] |
陳主計長淑姿：我們4月30日有發一個函，給它一個額度。 |
| gazette.blocks[27][0] |
賴委員士葆：什麼額度？ |
| gazette.blocks[28][0] |
陳主計長淑姿：初步初核的額度，再來我們會請它在6月中旬針對調整的計畫要報上來。 |
| gazette.blocks[29][0] |
賴委員士葆：現在有哪幾個部會報上來要調整？ |
| gazette.blocks[30][0] |
陳主計長淑姿：我們到6月中旬，6月20日截止。 |
| gazette.blocks[31][0] |
賴委員士葆：目前都還沒有？ |
| gazette.blocks[32][0] |
陳主計長淑姿：還沒有，所以我們也給各部會…… |
| gazette.blocks[33][0] |
賴委員士葆：本席告訴你，現在有一個單位叫數發部，或者數位部，它的國外旅費刪完了，原來編3,700萬元，立法院砍了600萬元，剩3,100萬元，但是它編的出國費用、國外旅費等於要出去2,188人次，總共283人，每一個人1年要出差7.7天，這個唐鳳前部長編的。但現在的黃部長說他不要出國了，他這個地方要砍，請問他可不可以把這個錢挪到其他單位來用，你告訴我可不可以？主計長，這是你的專業。 |
| gazette.blocks[34][0] |
陳主計長淑姿：第一，出國計畫相關的同一個工作計畫可以調整，但是不同工作計畫不可以調整。 |
| gazette.blocks[35][0] |
賴委員士葆：我跟你講，預算法第六十三條規定很清楚，經過立法院刪減的話，就不得流用，所以這裡面有一個矛盾的地方在這裡。新任部長來了，他不認同這筆的出國費用，他要把它挪到其他地方使用，他覺得不應該出國這麼多，也看到外界批評很多，說數位部等於出國部、旅遊部，所以他說我不用這麼多錢，可能砍一半或三分之一、三分之二，問題是預算法第六十三條你不能動嘛！不能流用啊！法訂在這裡啊！主計長，你旁邊的給你小抄也沒用，法在這裡，不能流用，你出不了國、你不要出國，你就乖乖繳庫，對吧！ |
| gazette.blocks[36][0] |
陳主計長淑姿：第一，流用的規範有分用途別、不得流用的項目或者是…… |
| gazette.blocks[37][0] |
賴委員士葆：預算法第六十三條規定刪減以後不得流用啊！ |
| gazette.blocks[38][0] |
陳主計長淑姿：刪減後的預算不會用，一般刪減後它不會用。 |
| gazette.blocks[39][0] |
賴委員士葆：什麼意思？ |
| gazette.blocks[40][0] |
陳主計長淑姿：就是說你被刪減的預算，本來變成3,100萬元，就是用3,100萬元去執行。 |
| gazette.blocks[41][0] |
賴委員士葆：對啊！他就用不了那麼多，他不要花3,100萬元，他只要花1,000萬元，可能啊！你知道我的意思嗎？他還是嫌多，新的部長就是這樣。 |
| gazette.blocks[42][0] |
陳主計長淑姿：不是，刪減的這個計畫裡面，依照預算法規定，他在整個計畫裡面是可以整體調整流用的。 |
| gazette.blocks[43][0] |
賴委員士葆：預算法第六十三條講假的嗎？第六十三條規定經過立法院刪減後不得流用啊！這很清楚啊！ |
| gazette.blocks[44][0] |
陳主計長淑姿：不是，通刪的部分依照規定是可以的。 |
| gazette.blocks[45][0] |
賴委員士葆：什麼空單？ |
| gazette.blocks[46][0] |
陳主計長淑姿：如果是屬於通刪，通案刪減的部分。 |
| gazette.blocks[47][0] |
賴委員士葆：這不是通刪，你搞清楚，因為那時候不分黨派，大家就很討厭唐鳳，把這個錢刪600萬元，是這個樣子，不是通刪OK？，主計長要進入狀況。你不知道喔！ |
| gazette.blocks[48][0] |
陳主計長淑姿：同仁提供給我的訊息…… |
| gazette.blocks[49][0] |
賴委員士葆：它不是通刪，我告訴你，不是通刪，通刪是固定多少比率，這是另外再刪的，是在委員會刪掉600萬元，不是通刪，你回去查一下，把結果告訴我。 |
| gazette.blocks[50][0] |
陳主計長淑姿：是。 |
| gazette.blocks[51][0] |
賴委員士葆：再來，前瞻五期你們編的，對不對？ |
| gazette.blocks[52][0] |
陳主計長淑姿：正在審查，還沒有編，8月底。 |
| gazette.blocks[53][0] |
賴委員士葆：前瞻剩多少錢？ |
| gazette.blocks[54][0] |
陳主計長淑姿：703億元。 |
| gazette.blocks[55][0] |
賴委員士葆：什麼時候可以送到立法院？ |
| gazette.blocks[56][0] |
陳主計長淑姿：原則上應該是8月底。 |
| gazette.blocks[57][0] |
賴委員士葆：涵蓋的項目有哪些？ |
| gazette.blocks[58][0] |
陳主計長淑姿：因為項目原則當初都有定下來，所以現在會針對一些如需要支付的項目，例如交通。 |
| gazette.blocks[59][0] |
賴委員士葆：賴政府、卓政府上來以後，會不會編一個前瞻2.0？ |
| gazette.blocks[60][0] |
陳主計長淑姿：要看院裡的整個政策。 |
| gazette.blocks[61][0] |
賴委員士葆：還沒有聽到？ |
| gazette.blocks[62][0] |
陳主計長淑姿：是。 |
| gazette.blocks[63][0] |
賴委員士葆：我是有聽到這個聲音，你們要編前瞻2.0喔！ |
| gazette.blocks[64][0] |
陳主計長淑姿：我是沒有聽到這樣的聲音啦！ |
| gazette.blocks[65][0] |
賴委員士葆：我希望你這個帳房管好，錢不要亂花，不要用特別預算，財政紀律要顧好。 |
| gazette.blocks[66][0] |
陳主計長淑姿：我們原則是嚴謹啦！ |
| gazette.blocks[67][0] |
賴委員士葆：最後一個問題，你第一次來備詢，奇怪你人緣很好，這都是臺南的委員，主席也是臺南的、底下也是臺南的，大家很怕你被我罵的樣子。 |
| gazette.blocks[68][0] |
陳主計長淑姿：謝謝委員。 |
| gazette.blocks[69][0] |
賴委員士葆：你要對我老實提供資料，opendata其實主計總處很多資料都很寶貴，但是你給的資料都不好用，Excel資料都不好用，你知道什麼叫opendata嗎？你擔任過研考會主委嘛！不是只有你，現在政府單位所提供的資料都不能檢索，都這樣給你，實在很難用，你能不能在這裡公開承諾，主計總處以後提供的資料、給委員的資料都是可以全面檢索的，這樣我們找起來就方便，一看什麼地方有閒置停車場、什麼地方浪費，一看就很清楚，可不可以？ |
| gazette.blocks[70][0] |
陳主計長淑姿：事實上，我們送立法院提案的相關資料庫，都有依照規定公開在機關的網站，如果要供外界加值使用，我們也是有一些資料開放，用opendata來開放，但是如果要讓民眾查詢，我們還要回去研議評估…… |
| gazette.blocks[71][0] |
賴委員士葆：我告訴你，去年前任的朱主計長就同意了，他說今年要提供給我們的都是可以retrieval，就是可以檢索。 |
| gazette.blocks[72][0] |
陳主計長淑姿：這個部分我們有在研議。 |
| gazette.blocks[73][0] |
賴委員士葆：什麼時候可以提供？ |
| gazette.blocks[74][0] |
陳主計長淑姿：原則上大概9月底。 |
| gazette.blocks[75][0] |
賴委員士葆：所以9月以後主計總處提供的資料都可以全文檢索，我這樣講對吧！我就問你這句話。 |
| gazette.blocks[76][0] |
陳主計長淑姿：不是，因為這個部分我比較不清楚，這個部分有在研議說要開放。 |
| gazette.blocks[77][0] |
賴委員士葆：你旁邊同仁一直點頭。 |
| gazette.blocks[78][0] |
陳主計長淑姿：同仁告訴我9月底。 |
| gazette.blocks[79][0] |
賴委員士葆：9月底沒關係，你旁邊同仁一直點頭，你就跟我點頭就好了，這個留紀錄，9月底主計總處提供給立委的資料opendata都可以retrieval，就是可以檢索，這個非常重要，各位注意看，它們提供的資料都非常寶貴，但是不好用，9月底以後可以好用。謝謝。 |
| gazette.blocks[80][0] |
主席：謝謝賴士葆委員質詢。現在休息10分鐘。 |
| gazette.blocks[80][1] |
休息（10時33分） |
| gazette.blocks[80][2] |
繼續開會（10時44分） |
| gazette.blocks[81][0] |
主席：現在繼續開會。接著請王鴻薇委員質詢。 |
| gazette.agenda.page_end |
108 |
| gazette.agenda.meet_id |
委員會-11-1-20-14 |
| gazette.agenda.speakers[0] |
郭國文 |
| gazette.agenda.speakers[1] |
林德福 |
| gazette.agenda.speakers[2] |
吳秉叡 |
| gazette.agenda.speakers[3] |
顏寬恒 |
| gazette.agenda.speakers[4] |
賴惠員 |
| gazette.agenda.speakers[5] |
賴士葆 |
| gazette.agenda.speakers[6] |
王鴻薇 |
| gazette.agenda.speakers[7] |
王世堅 |
| gazette.agenda.speakers[8] |
李彥秀 |
| gazette.agenda.speakers[9] |
黃珊珊 |
| gazette.agenda.speakers[10] |
李坤城 |
| gazette.agenda.speakers[11] |
伍麗華Saidhai‧Tahovecahe |
| gazette.agenda.speakers[12] |
陳玉珍 |
| gazette.agenda.speakers[13] |
羅明才 |
| gazette.agenda.speakers[14] |
鄭天財Sra Kacaw |
| gazette.agenda.page_start |
55 |
| gazette.agenda.meetingDate[0] |
2024-05-29 |
| gazette.agenda.gazette_id |
1135301 |
| gazette.agenda.agenda_lcidc_ids[0] |
1135301_00003 |
| gazette.agenda.meet_name |
立法院第11屆第1會期財政委員會第14次全體委員會議紀錄 |
| gazette.agenda.content |
邀請行政院主計總處陳主計長淑姿率所屬單位主管列席業務報告，並備質詢 |
| gazette.agenda.agenda_id |
1135301_00002 |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
1.66784375 |
| transcript.pyannote[0].end |
3.54096875 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
3.97971875 |
| transcript.pyannote[1].end |
4.72221875 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
4.99221875 |
| transcript.pyannote[2].end |
5.92034375 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
6.20721875 |
| transcript.pyannote[3].end |
7.50659375 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
12.33284375 |
| transcript.pyannote[4].end |
12.34971875 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
12.34971875 |
| transcript.pyannote[5].end |
12.97409375 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
14.03721875 |
| transcript.pyannote[6].end |
14.77971875 |
| transcript.pyannote[7].speaker |
SPEAKER_01 |
| transcript.pyannote[7].start |
14.99909375 |
| transcript.pyannote[7].end |
15.64034375 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
15.48846875 |
| transcript.pyannote[8].end |
15.92721875 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
16.83846875 |
| transcript.pyannote[9].end |
20.17971875 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
20.61846875 |
| transcript.pyannote[10].end |
22.20471875 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
22.28909375 |
| transcript.pyannote[11].end |
24.11159375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
25.09034375 |
| transcript.pyannote[12].end |
27.26721875 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
28.04346875 |
| transcript.pyannote[13].end |
31.55346875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
31.84034375 |
| transcript.pyannote[14].end |
33.78096875 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
34.23659375 |
| transcript.pyannote[15].end |
35.01284375 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
35.58659375 |
| transcript.pyannote[16].end |
35.70471875 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
35.70471875 |
| transcript.pyannote[17].end |
35.82284375 |
| transcript.pyannote[18].speaker |
SPEAKER_01 |
| transcript.pyannote[18].start |
35.82284375 |
| transcript.pyannote[18].end |
35.83971875 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
35.83971875 |
| transcript.pyannote[19].end |
35.90721875 |
| transcript.pyannote[20].speaker |
SPEAKER_01 |
| transcript.pyannote[20].start |
36.83534375 |
| transcript.pyannote[20].end |
40.26096875 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
38.05034375 |
| transcript.pyannote[21].end |
38.77596875 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
40.48034375 |
| transcript.pyannote[22].end |
47.07846875 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
43.41659375 |
| transcript.pyannote[23].end |
43.70346875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
44.76659375 |
| transcript.pyannote[24].end |
46.50471875 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
47.53409375 |
| transcript.pyannote[25].end |
64.76346875 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
63.95346875 |
| transcript.pyannote[26].end |
66.68721875 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
67.09221875 |
| transcript.pyannote[27].end |
67.53096875 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
67.63221875 |
| transcript.pyannote[28].end |
69.53909375 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
68.56034375 |
| transcript.pyannote[29].end |
69.50534375 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
69.53909375 |
| transcript.pyannote[30].end |
69.55596875 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
70.82159375 |
| transcript.pyannote[31].end |
73.96034375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
71.73284375 |
| transcript.pyannote[32].end |
72.81284375 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
72.93096875 |
| transcript.pyannote[33].end |
79.37721875 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
79.84971875 |
| transcript.pyannote[34].end |
80.81159375 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
81.55409375 |
| transcript.pyannote[35].end |
82.90409375 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
82.02659375 |
| transcript.pyannote[36].end |
83.69721875 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
83.93346875 |
| transcript.pyannote[37].end |
84.23721875 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
84.43971875 |
| transcript.pyannote[38].end |
87.44346875 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
88.37159375 |
| transcript.pyannote[39].end |
91.52721875 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
93.06284375 |
| transcript.pyannote[40].end |
95.67846875 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
96.16784375 |
| transcript.pyannote[41].end |
98.53034375 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
97.99034375 |
| transcript.pyannote[42].end |
102.32721875 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
102.69846875 |
| transcript.pyannote[43].end |
103.82909375 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
104.11596875 |
| transcript.pyannote[44].end |
104.87534375 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
105.31409375 |
| transcript.pyannote[45].end |
106.69784375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
106.69784375 |
| transcript.pyannote[46].end |
107.74409375 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
107.74409375 |
| transcript.pyannote[47].end |
110.47784375 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
107.91284375 |
| transcript.pyannote[48].end |
108.55409375 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
110.25846875 |
| transcript.pyannote[49].end |
110.68034375 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
111.43971875 |
| transcript.pyannote[50].end |
114.54471875 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
116.02971875 |
| transcript.pyannote[51].end |
116.11409375 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
116.23221875 |
| transcript.pyannote[52].end |
117.02534375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
117.39659375 |
| transcript.pyannote[53].end |
119.97846875 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
120.56909375 |
| transcript.pyannote[54].end |
122.89784375 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
123.21846875 |
| transcript.pyannote[55].end |
125.83409375 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
126.18846875 |
| transcript.pyannote[56].end |
127.30221875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
127.65659375 |
| transcript.pyannote[57].end |
129.54659375 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
130.60971875 |
| transcript.pyannote[58].end |
132.34784375 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
133.52909375 |
| transcript.pyannote[59].end |
134.67659375 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
135.01409375 |
| transcript.pyannote[60].end |
153.03659375 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
139.06409375 |
| transcript.pyannote[61].end |
139.16534375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
154.74096875 |
| transcript.pyannote[62].end |
155.33159375 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
155.41596875 |
| transcript.pyannote[63].end |
157.50846875 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
157.77846875 |
| transcript.pyannote[64].end |
159.41534375 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
157.99784375 |
| transcript.pyannote[65].end |
166.41846875 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
161.06909375 |
| transcript.pyannote[66].end |
164.19096875 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
165.72659375 |
| transcript.pyannote[67].end |
167.66721875 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
167.95409375 |
| transcript.pyannote[68].end |
169.42221875 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
170.31659375 |
| transcript.pyannote[69].end |
172.44284375 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
172.88159375 |
| transcript.pyannote[70].end |
173.64096875 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
174.50159375 |
| transcript.pyannote[71].end |
177.42096875 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
179.20971875 |
| transcript.pyannote[72].end |
180.13784375 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
180.34034375 |
| transcript.pyannote[73].end |
182.95596875 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
184.45784375 |
| transcript.pyannote[74].end |
187.90034375 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
189.31784375 |
| transcript.pyannote[75].end |
190.54971875 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
190.54971875 |
| transcript.pyannote[76].end |
190.58346875 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
191.25846875 |
| transcript.pyannote[77].end |
191.98409375 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
191.98409375 |
| transcript.pyannote[78].end |
192.01784375 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
192.60846875 |
| transcript.pyannote[79].end |
192.62534375 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
192.62534375 |
| transcript.pyannote[80].end |
194.70096875 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
194.70096875 |
| transcript.pyannote[81].end |
194.97096875 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
194.97096875 |
| transcript.pyannote[82].end |
195.03846875 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
195.03846875 |
| transcript.pyannote[83].end |
195.24096875 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
195.24096875 |
| transcript.pyannote[84].end |
201.50159375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
200.72534375 |
| transcript.pyannote[85].end |
201.38346875 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
201.77159375 |
| transcript.pyannote[86].end |
213.80346875 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
213.88784375 |
| transcript.pyannote[87].end |
224.02971875 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
219.52409375 |
| transcript.pyannote[88].end |
219.99659375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
220.90784375 |
| transcript.pyannote[89].end |
221.34659375 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
221.95409375 |
| transcript.pyannote[90].end |
223.99596875 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
224.02971875 |
| transcript.pyannote[91].end |
227.64096875 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
227.72534375 |
| transcript.pyannote[92].end |
227.74221875 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
227.74221875 |
| transcript.pyannote[93].end |
228.02909375 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
228.02909375 |
| transcript.pyannote[94].end |
228.14721875 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
229.12596875 |
| transcript.pyannote[95].end |
232.73721875 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
233.46284375 |
| transcript.pyannote[96].end |
234.55971875 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
235.40346875 |
| transcript.pyannote[97].end |
236.29784375 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
236.65221875 |
| transcript.pyannote[98].end |
237.22596875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
237.79971875 |
| transcript.pyannote[99].end |
238.67721875 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
239.80784375 |
| transcript.pyannote[100].end |
241.30971875 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
242.65971875 |
| transcript.pyannote[101].end |
244.68471875 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
245.20784375 |
| transcript.pyannote[102].end |
245.73096875 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
246.00096875 |
| transcript.pyannote[103].end |
246.79409375 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
248.61659375 |
| transcript.pyannote[104].end |
252.04221875 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
252.90284375 |
| transcript.pyannote[105].end |
253.69596875 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
253.93221875 |
| transcript.pyannote[106].end |
254.75909375 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
255.07971875 |
| transcript.pyannote[107].end |
255.73784375 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
256.12596875 |
| transcript.pyannote[108].end |
257.12159375 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
257.47596875 |
| transcript.pyannote[109].end |
258.55596875 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
259.31534375 |
| transcript.pyannote[110].end |
259.85534375 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
261.28971875 |
| transcript.pyannote[111].end |
262.79159375 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
263.07846875 |
| transcript.pyannote[112].end |
264.36096875 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
264.88409375 |
| transcript.pyannote[113].end |
266.11596875 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
266.62221875 |
| transcript.pyannote[114].end |
266.79096875 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
267.41534375 |
| transcript.pyannote[115].end |
268.09034375 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
268.24221875 |
| transcript.pyannote[116].end |
269.28846875 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
270.19971875 |
| transcript.pyannote[117].end |
271.66784375 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
272.42721875 |
| transcript.pyannote[118].end |
273.55784375 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
274.18221875 |
| transcript.pyannote[119].end |
275.24534375 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
275.75159375 |
| transcript.pyannote[120].end |
277.11846875 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
277.25346875 |
| transcript.pyannote[121].end |
278.46846875 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
279.09284375 |
| transcript.pyannote[122].end |
279.49784375 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
280.88159375 |
| transcript.pyannote[123].end |
281.30346875 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
281.52284375 |
| transcript.pyannote[124].end |
282.40034375 |
| transcript.pyannote[125].speaker |
SPEAKER_01 |
| transcript.pyannote[125].start |
284.37471875 |
| transcript.pyannote[125].end |
286.29846875 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
285.53909375 |
| transcript.pyannote[126].end |
286.43346875 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
286.53471875 |
| transcript.pyannote[127].end |
288.03659375 |
| transcript.pyannote[128].speaker |
SPEAKER_01 |
| transcript.pyannote[128].start |
288.99846875 |
| transcript.pyannote[128].end |
297.82409375 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
297.40221875 |
| transcript.pyannote[129].end |
301.51971875 |
| transcript.pyannote[130].speaker |
SPEAKER_01 |
| transcript.pyannote[130].start |
297.85784375 |
| transcript.pyannote[130].end |
297.94221875 |
| transcript.pyannote[131].speaker |
SPEAKER_01 |
| transcript.pyannote[131].start |
298.04346875 |
| transcript.pyannote[131].end |
298.06034375 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
301.92471875 |
| transcript.pyannote[132].end |
308.65784375 |
| transcript.pyannote[133].speaker |
SPEAKER_00 |
| transcript.pyannote[133].start |
309.04596875 |
| transcript.pyannote[133].end |
312.55596875 |
| transcript.pyannote[134].speaker |
SPEAKER_00 |
| transcript.pyannote[134].start |
312.84284375 |
| transcript.pyannote[134].end |
314.15909375 |
| transcript.pyannote[135].speaker |
SPEAKER_00 |
| transcript.pyannote[135].start |
315.13784375 |
| transcript.pyannote[135].end |
316.90971875 |
| transcript.pyannote[136].speaker |
SPEAKER_00 |
| transcript.pyannote[136].start |
317.12909375 |
| transcript.pyannote[136].end |
318.95159375 |
| transcript.pyannote[137].speaker |
SPEAKER_00 |
| transcript.pyannote[137].start |
319.35659375 |
| transcript.pyannote[137].end |
321.21284375 |
| transcript.pyannote[138].speaker |
SPEAKER_00 |
| transcript.pyannote[138].start |
321.53346875 |
| transcript.pyannote[138].end |
324.13221875 |
| transcript.pyannote[139].speaker |
SPEAKER_00 |
| transcript.pyannote[139].start |
325.06034375 |
| transcript.pyannote[139].end |
327.37221875 |
| transcript.pyannote[140].speaker |
SPEAKER_00 |
| transcript.pyannote[140].start |
327.69284375 |
| transcript.pyannote[140].end |
330.19034375 |
| transcript.pyannote[141].speaker |
SPEAKER_00 |
| transcript.pyannote[141].start |
331.32096875 |
| transcript.pyannote[141].end |
331.70909375 |
| transcript.pyannote[142].speaker |
SPEAKER_00 |
| transcript.pyannote[142].start |
332.29971875 |
| transcript.pyannote[142].end |
333.12659375 |
| transcript.pyannote[143].speaker |
SPEAKER_00 |
| transcript.pyannote[143].start |
333.51471875 |
| transcript.pyannote[143].end |
335.03346875 |
| transcript.pyannote[144].speaker |
SPEAKER_00 |
| transcript.pyannote[144].start |
335.06721875 |
| transcript.pyannote[144].end |
336.40034375 |
| transcript.pyannote[145].speaker |
SPEAKER_00 |
| transcript.pyannote[145].start |
336.41721875 |
| transcript.pyannote[145].end |
338.81346875 |
| transcript.pyannote[146].speaker |
SPEAKER_00 |
| transcript.pyannote[146].start |
339.31971875 |
| transcript.pyannote[146].end |
339.84284375 |
| transcript.pyannote[147].speaker |
SPEAKER_00 |
| transcript.pyannote[147].start |
340.23096875 |
| transcript.pyannote[147].end |
342.25596875 |
| transcript.pyannote[148].speaker |
SPEAKER_00 |
| transcript.pyannote[148].start |
342.30659375 |
| transcript.pyannote[148].end |
343.82534375 |
| transcript.pyannote[149].speaker |
SPEAKER_00 |
| transcript.pyannote[149].start |
344.53409375 |
| transcript.pyannote[149].end |
344.83784375 |
| transcript.pyannote[150].speaker |
SPEAKER_00 |
| transcript.pyannote[150].start |
345.09096875 |
| transcript.pyannote[150].end |
349.41096875 |
| transcript.pyannote[151].speaker |
SPEAKER_01 |
| transcript.pyannote[151].start |
349.78221875 |
| transcript.pyannote[151].end |
356.07659375 |
| transcript.pyannote[152].speaker |
SPEAKER_00 |
| transcript.pyannote[152].start |
353.62971875 |
| transcript.pyannote[152].end |
359.50221875 |
| transcript.pyannote[153].speaker |
SPEAKER_01 |
| transcript.pyannote[153].start |
358.00034375 |
| transcript.pyannote[153].end |
362.57346875 |
| transcript.pyannote[154].speaker |
SPEAKER_01 |
| transcript.pyannote[154].start |
362.96159375 |
| transcript.pyannote[154].end |
363.56909375 |
| transcript.pyannote[155].speaker |
SPEAKER_01 |
| transcript.pyannote[155].start |
363.83909375 |
| transcript.pyannote[155].end |
371.77034375 |
| transcript.pyannote[156].speaker |
SPEAKER_01 |
| transcript.pyannote[156].start |
371.93909375 |
| transcript.pyannote[156].end |
375.29721875 |
| transcript.pyannote[157].speaker |
SPEAKER_00 |
| transcript.pyannote[157].start |
375.49971875 |
| transcript.pyannote[157].end |
380.95034375 |
| transcript.pyannote[158].speaker |
SPEAKER_00 |
| transcript.pyannote[158].start |
381.97971875 |
| transcript.pyannote[158].end |
382.85721875 |
| transcript.pyannote[159].speaker |
SPEAKER_01 |
| transcript.pyannote[159].start |
382.13159375 |
| transcript.pyannote[159].end |
382.30034375 |
| transcript.pyannote[160].speaker |
SPEAKER_00 |
| transcript.pyannote[160].start |
384.13971875 |
| transcript.pyannote[160].end |
385.27034375 |
| transcript.pyannote[161].speaker |
SPEAKER_00 |
| transcript.pyannote[161].start |
385.45596875 |
| transcript.pyannote[161].end |
386.90721875 |
| transcript.pyannote[162].speaker |
SPEAKER_01 |
| transcript.pyannote[162].start |
386.02971875 |
| transcript.pyannote[162].end |
386.83971875 |
| transcript.pyannote[163].speaker |
SPEAKER_01 |
| transcript.pyannote[163].start |
386.90721875 |
| transcript.pyannote[163].end |
388.93221875 |
| transcript.pyannote[164].speaker |
SPEAKER_01 |
| transcript.pyannote[164].start |
388.94909375 |
| transcript.pyannote[164].end |
388.99971875 |
| transcript.pyannote[165].speaker |
SPEAKER_01 |
| transcript.pyannote[165].start |
389.33721875 |
| transcript.pyannote[165].end |
399.10784375 |
| transcript.pyannote[166].speaker |
SPEAKER_00 |
| transcript.pyannote[166].start |
398.12909375 |
| transcript.pyannote[166].end |
399.79971875 |
| transcript.pyannote[167].speaker |
SPEAKER_00 |
| transcript.pyannote[167].start |
399.86721875 |
| transcript.pyannote[167].end |
400.47471875 |
| transcript.pyannote[168].speaker |
SPEAKER_00 |
| transcript.pyannote[168].start |
400.64346875 |
| transcript.pyannote[168].end |
404.01846875 |
| transcript.pyannote[169].speaker |
SPEAKER_00 |
| transcript.pyannote[169].start |
405.08159375 |
| transcript.pyannote[169].end |
406.76909375 |
| transcript.pyannote[170].speaker |
SPEAKER_01 |
| transcript.pyannote[170].start |
406.02659375 |
| transcript.pyannote[170].end |
406.73534375 |
| transcript.pyannote[171].speaker |
SPEAKER_01 |
| transcript.pyannote[171].start |
406.76909375 |
| transcript.pyannote[171].end |
406.80284375 |
| transcript.pyannote[172].speaker |
SPEAKER_00 |
| transcript.pyannote[172].start |
406.80284375 |
| transcript.pyannote[172].end |
406.83659375 |
| transcript.pyannote[173].speaker |
SPEAKER_01 |
| transcript.pyannote[173].start |
406.83659375 |
| transcript.pyannote[173].end |
407.56221875 |
| transcript.pyannote[174].speaker |
SPEAKER_00 |
| transcript.pyannote[174].start |
407.56221875 |
| transcript.pyannote[174].end |
408.03471875 |
| transcript.pyannote[175].speaker |
SPEAKER_00 |
| transcript.pyannote[175].start |
408.32159375 |
| transcript.pyannote[175].end |
410.19471875 |
| transcript.pyannote[176].speaker |
SPEAKER_01 |
| transcript.pyannote[176].start |
410.86971875 |
| transcript.pyannote[176].end |
421.34909375 |
| transcript.pyannote[177].speaker |
SPEAKER_00 |
| transcript.pyannote[177].start |
414.53159375 |
| transcript.pyannote[177].end |
415.00409375 |
| transcript.pyannote[178].speaker |
SPEAKER_00 |
| transcript.pyannote[178].start |
417.60284375 |
| transcript.pyannote[178].end |
417.88971875 |
| transcript.pyannote[179].speaker |
SPEAKER_00 |
| transcript.pyannote[179].start |
420.69096875 |
| transcript.pyannote[179].end |
421.80471875 |
| transcript.pyannote[180].speaker |
SPEAKER_00 |
| transcript.pyannote[180].start |
422.22659375 |
| transcript.pyannote[180].end |
426.54659375 |
| transcript.pyannote[181].speaker |
SPEAKER_00 |
| transcript.pyannote[181].start |
426.83346875 |
| transcript.pyannote[181].end |
431.82846875 |
| transcript.pyannote[182].speaker |
SPEAKER_00 |
| transcript.pyannote[182].start |
432.14909375 |
| transcript.pyannote[182].end |
434.30909375 |
| transcript.pyannote[183].speaker |
SPEAKER_01 |
| transcript.pyannote[183].start |
434.05596875 |
| transcript.pyannote[183].end |
434.07284375 |
| transcript.pyannote[184].speaker |
SPEAKER_01 |
| transcript.pyannote[184].start |
434.15721875 |
| transcript.pyannote[184].end |
434.17409375 |
| transcript.pyannote[185].speaker |
SPEAKER_01 |
| transcript.pyannote[185].start |
434.30909375 |
| transcript.pyannote[185].end |
434.57909375 |
| transcript.pyannote[186].speaker |
SPEAKER_00 |
| transcript.pyannote[186].start |
434.57909375 |
| transcript.pyannote[186].end |
435.50721875 |
| transcript.pyannote[187].speaker |
SPEAKER_01 |
| transcript.pyannote[187].start |
434.61284375 |
| transcript.pyannote[187].end |
434.73096875 |
| transcript.pyannote[188].speaker |
SPEAKER_01 |
| transcript.pyannote[188].start |
438.67971875 |
| transcript.pyannote[188].end |
443.97846875 |
| transcript.pyannote[189].speaker |
SPEAKER_00 |
| transcript.pyannote[189].start |
439.35471875 |
| transcript.pyannote[189].end |
440.11409375 |
| transcript.pyannote[190].speaker |
SPEAKER_00 |
| transcript.pyannote[190].start |
442.79721875 |
| transcript.pyannote[190].end |
445.63221875 |
| transcript.pyannote[191].speaker |
SPEAKER_00 |
| transcript.pyannote[191].start |
446.83034375 |
| transcript.pyannote[191].end |
448.77096875 |
| transcript.pyannote[192].speaker |
SPEAKER_00 |
| transcript.pyannote[192].start |
448.92284375 |
| transcript.pyannote[192].end |
450.00284375 |
| transcript.pyannote[193].speaker |
SPEAKER_00 |
| transcript.pyannote[193].start |
450.59346875 |
| transcript.pyannote[193].end |
452.02784375 |
| transcript.pyannote[194].speaker |
SPEAKER_00 |
| transcript.pyannote[194].start |
452.66909375 |
| transcript.pyannote[194].end |
453.54659375 |
| transcript.pyannote[195].speaker |
SPEAKER_00 |
| transcript.pyannote[195].start |
454.23846875 |
| transcript.pyannote[195].end |
455.04846875 |
| transcript.pyannote[196].speaker |
SPEAKER_00 |
| transcript.pyannote[196].start |
456.33096875 |
| transcript.pyannote[196].end |
457.36034375 |
| transcript.pyannote[197].speaker |
SPEAKER_01 |
| transcript.pyannote[197].start |
457.59659375 |
| transcript.pyannote[197].end |
459.41909375 |
| transcript.pyannote[198].speaker |
SPEAKER_00 |
| transcript.pyannote[198].start |
458.28846875 |
| transcript.pyannote[198].end |
459.40221875 |
| transcript.pyannote[199].speaker |
SPEAKER_01 |
| transcript.pyannote[199].start |
459.55409375 |
| transcript.pyannote[199].end |
460.51596875 |
| transcript.pyannote[200].speaker |
SPEAKER_00 |
| transcript.pyannote[200].start |
461.64659375 |
| transcript.pyannote[200].end |
462.28784375 |
| transcript.pyannote[201].speaker |
SPEAKER_00 |
| transcript.pyannote[201].start |
465.61221875 |
| transcript.pyannote[201].end |
468.10971875 |
| transcript.pyannote[202].speaker |
SPEAKER_00 |
| transcript.pyannote[202].start |
469.13909375 |
| transcript.pyannote[202].end |
470.11784375 |
| transcript.pyannote[203].speaker |
SPEAKER_00 |
| transcript.pyannote[203].start |
471.80534375 |
| transcript.pyannote[203].end |
472.49721875 |
| transcript.pyannote[204].speaker |
SPEAKER_01 |
| transcript.pyannote[204].start |
472.69971875 |
| transcript.pyannote[204].end |
473.13846875 |
| transcript.pyannote[205].speaker |
SPEAKER_01 |
| transcript.pyannote[205].start |
473.29034375 |
| transcript.pyannote[205].end |
476.05784375 |
| transcript.pyannote[206].speaker |
SPEAKER_00 |
| transcript.pyannote[206].start |
474.80909375 |
| transcript.pyannote[206].end |
474.84284375 |
| transcript.pyannote[207].speaker |
SPEAKER_00 |
| transcript.pyannote[207].start |
474.89346875 |
| transcript.pyannote[207].end |
475.18034375 |
| transcript.pyannote[208].speaker |
SPEAKER_00 |
| transcript.pyannote[208].start |
476.12534375 |
| transcript.pyannote[208].end |
477.37409375 |
| transcript.pyannote[209].speaker |
SPEAKER_01 |
| transcript.pyannote[209].start |
477.62721875 |
| transcript.pyannote[209].end |
478.70721875 |
| transcript.pyannote[210].speaker |
SPEAKER_00 |
| transcript.pyannote[210].start |
478.75784375 |
| transcript.pyannote[210].end |
481.76159375 |
| transcript.pyannote[211].speaker |
SPEAKER_01 |
| transcript.pyannote[211].start |
482.55471875 |
| transcript.pyannote[211].end |
484.81596875 |
| transcript.pyannote[212].speaker |
SPEAKER_00 |
| transcript.pyannote[212].start |
484.81596875 |
| transcript.pyannote[212].end |
485.79471875 |
| transcript.pyannote[213].speaker |
SPEAKER_00 |
| transcript.pyannote[213].start |
486.68909375 |
| transcript.pyannote[213].end |
488.02221875 |
| transcript.pyannote[214].speaker |
SPEAKER_01 |
| transcript.pyannote[214].start |
489.69284375 |
| transcript.pyannote[214].end |
501.91034375 |
| transcript.pyannote[215].speaker |
SPEAKER_00 |
| transcript.pyannote[215].start |
501.91034375 |
| transcript.pyannote[215].end |
502.39971875 |
| transcript.pyannote[216].speaker |
SPEAKER_00 |
| transcript.pyannote[216].start |
502.80471875 |
| transcript.pyannote[216].end |
506.66909375 |
| transcript.pyannote[217].speaker |
SPEAKER_00 |
| transcript.pyannote[217].start |
506.98971875 |
| transcript.pyannote[217].end |
507.51284375 |
| transcript.pyannote[218].speaker |
SPEAKER_00 |
| transcript.pyannote[218].start |
508.49159375 |
| transcript.pyannote[218].end |
510.76971875 |
| transcript.pyannote[219].speaker |
SPEAKER_01 |
| transcript.pyannote[219].start |
512.11971875 |
| transcript.pyannote[219].end |
518.81909375 |
| transcript.pyannote[220].speaker |
SPEAKER_00 |
| transcript.pyannote[220].start |
519.17346875 |
| transcript.pyannote[220].end |
520.52346875 |
| transcript.pyannote[221].speaker |
SPEAKER_00 |
| transcript.pyannote[221].start |
521.46846875 |
| transcript.pyannote[221].end |
523.20659375 |
| transcript.pyannote[222].speaker |
SPEAKER_01 |
| transcript.pyannote[222].start |
523.20659375 |
| transcript.pyannote[222].end |
524.03346875 |
| transcript.pyannote[223].speaker |
SPEAKER_00 |
| transcript.pyannote[223].start |
524.03346875 |
| transcript.pyannote[223].end |
524.82659375 |
| transcript.pyannote[224].speaker |
SPEAKER_00 |
| transcript.pyannote[224].start |
526.00784375 |
| transcript.pyannote[224].end |
530.04096875 |
| transcript.pyannote[225].speaker |
SPEAKER_01 |
| transcript.pyannote[225].start |
530.10846875 |
| transcript.pyannote[225].end |
532.97721875 |
| transcript.pyannote[226].speaker |
SPEAKER_00 |
| transcript.pyannote[226].start |
530.95221875 |
| transcript.pyannote[226].end |
531.50909375 |
| transcript.pyannote[227].speaker |
SPEAKER_00 |
| transcript.pyannote[227].start |
531.81284375 |
| transcript.pyannote[227].end |
533.16284375 |
| transcript.pyannote[228].speaker |
SPEAKER_01 |
| transcript.pyannote[228].start |
533.36534375 |
| transcript.pyannote[228].end |
535.25534375 |
| transcript.pyannote[229].speaker |
SPEAKER_00 |
| transcript.pyannote[229].start |
533.63534375 |
| transcript.pyannote[229].end |
534.90096875 |
| transcript.pyannote[230].speaker |
SPEAKER_00 |
| transcript.pyannote[230].start |
536.30159375 |
| transcript.pyannote[230].end |
537.21284375 |
| transcript.pyannote[231].speaker |
SPEAKER_00 |
| transcript.pyannote[231].start |
538.79909375 |
| transcript.pyannote[231].end |
539.11971875 |
| transcript.pyannote[232].speaker |
SPEAKER_00 |
| transcript.pyannote[232].start |
539.32221875 |
| transcript.pyannote[232].end |
540.80721875 |
| transcript.pyannote[233].speaker |
SPEAKER_00 |
| transcript.pyannote[233].start |
541.04346875 |
| transcript.pyannote[233].end |
542.00534375 |
| transcript.pyannote[234].speaker |
SPEAKER_00 |
| transcript.pyannote[234].start |
542.89971875 |
| transcript.pyannote[234].end |
545.85284375 |
| transcript.pyannote[235].speaker |
SPEAKER_00 |
| transcript.pyannote[235].start |
546.00471875 |
| transcript.pyannote[235].end |
546.88221875 |
| transcript.pyannote[236].speaker |
SPEAKER_00 |
| transcript.pyannote[236].start |
547.30409375 |
| transcript.pyannote[236].end |
548.68784375 |
| transcript.pyannote[237].speaker |
SPEAKER_00 |
| transcript.pyannote[237].start |
549.78471875 |
| transcript.pyannote[237].end |
550.13909375 |
| transcript.pyannote[238].speaker |
SPEAKER_01 |
| transcript.pyannote[238].start |
550.34159375 |
| transcript.pyannote[238].end |
551.03346875 |
| transcript.pyannote[239].speaker |
SPEAKER_00 |
| transcript.pyannote[239].start |
551.64096875 |
| transcript.pyannote[239].end |
552.53534375 |
| transcript.pyannote[240].speaker |
SPEAKER_00 |
| transcript.pyannote[240].start |
552.80534375 |
| transcript.pyannote[240].end |
553.63221875 |
| transcript.pyannote[241].speaker |
SPEAKER_00 |
| transcript.pyannote[241].start |
553.88534375 |
| transcript.pyannote[241].end |
554.91471875 |
| transcript.pyannote[242].speaker |
SPEAKER_00 |
| transcript.pyannote[242].start |
555.79221875 |
| transcript.pyannote[242].end |
556.82159375 |
| transcript.pyannote[243].speaker |
SPEAKER_00 |
| transcript.pyannote[243].start |
557.22659375 |
| transcript.pyannote[243].end |
561.22596875 |
| transcript.pyannote[244].speaker |
SPEAKER_00 |
| transcript.pyannote[244].start |
561.34409375 |
| transcript.pyannote[244].end |
562.76159375 |
| transcript.pyannote[245].speaker |
SPEAKER_00 |
| transcript.pyannote[245].start |
563.01471875 |
| transcript.pyannote[245].end |
563.72346875 |
| transcript.pyannote[246].speaker |
SPEAKER_00 |
| transcript.pyannote[246].start |
564.44909375 |
| transcript.pyannote[246].end |
566.03534375 |
| transcript.pyannote[247].speaker |
SPEAKER_00 |
| transcript.pyannote[247].start |
566.55846875 |
| transcript.pyannote[247].end |
568.73534375 |
| transcript.pyannote[248].speaker |
SPEAKER_00 |
| transcript.pyannote[248].start |
568.92096875 |
| transcript.pyannote[248].end |
570.69284375 |
| transcript.pyannote[249].speaker |
SPEAKER_00 |
| transcript.pyannote[249].start |
572.27909375 |
| transcript.pyannote[249].end |
572.92034375 |
| transcript.pyannote[250].speaker |
SPEAKER_00 |
| transcript.pyannote[250].start |
574.54034375 |
| transcript.pyannote[250].end |
575.43471875 |
| transcript.pyannote[251].speaker |
SPEAKER_00 |
| transcript.pyannote[251].start |
576.31221875 |
| transcript.pyannote[251].end |
577.20659375 |
| transcript.pyannote[252].speaker |
SPEAKER_00 |
| transcript.pyannote[252].start |
577.84784375 |
| transcript.pyannote[252].end |
578.92784375 |
| transcript.pyannote[253].speaker |
SPEAKER_00 |
| transcript.pyannote[253].start |
579.16409375 |
| transcript.pyannote[253].end |
580.44659375 |
| transcript.pyannote[254].speaker |
SPEAKER_00 |
| transcript.pyannote[254].start |
580.90221875 |
| transcript.pyannote[254].end |
581.74596875 |
| transcript.pyannote[255].speaker |
SPEAKER_00 |
| transcript.pyannote[255].start |
582.16784375 |
| transcript.pyannote[255].end |
583.01159375 |
| transcript.pyannote[256].speaker |
SPEAKER_00 |
| transcript.pyannote[256].start |
584.66534375 |
| transcript.pyannote[256].end |
585.79596875 |
| transcript.pyannote[257].speaker |
SPEAKER_00 |
| transcript.pyannote[257].start |
586.11659375 |
| transcript.pyannote[257].end |
586.89284375 |
| transcript.pyannote[258].speaker |
SPEAKER_00 |
| transcript.pyannote[258].start |
587.09534375 |
| transcript.pyannote[258].end |
587.78721875 |
| transcript.pyannote[259].speaker |
SPEAKER_00 |
| transcript.pyannote[259].start |
588.61409375 |
| transcript.pyannote[259].end |
589.03596875 |
| transcript.pyannote[260].speaker |
SPEAKER_00 |
| transcript.pyannote[260].start |
589.39034375 |
| transcript.pyannote[260].end |
590.92596875 |
| transcript.pyannote[261].speaker |
SPEAKER_00 |
| transcript.pyannote[261].start |
591.93846875 |
| transcript.pyannote[261].end |
593.42346875 |
| transcript.pyannote[262].speaker |
SPEAKER_00 |
| transcript.pyannote[262].start |
593.89596875 |
| transcript.pyannote[262].end |
596.17409375 |
| transcript.pyannote[263].speaker |
SPEAKER_00 |
| transcript.pyannote[263].start |
596.66346875 |
| transcript.pyannote[263].end |
598.82346875 |
| transcript.pyannote[264].speaker |
SPEAKER_00 |
| transcript.pyannote[264].start |
598.97534375 |
| transcript.pyannote[264].end |
609.45471875 |
| transcript.pyannote[265].speaker |
SPEAKER_00 |
| transcript.pyannote[265].start |
609.65721875 |
| transcript.pyannote[265].end |
610.38284375 |
| transcript.pyannote[266].speaker |
SPEAKER_01 |
| transcript.pyannote[266].start |
611.22659375 |
| transcript.pyannote[266].end |
638.34471875 |
| transcript.pyannote[267].speaker |
SPEAKER_00 |
| transcript.pyannote[267].start |
637.55159375 |
| transcript.pyannote[267].end |
639.39096875 |
| transcript.pyannote[268].speaker |
SPEAKER_00 |
| transcript.pyannote[268].start |
639.42471875 |
| transcript.pyannote[268].end |
639.74534375 |
| transcript.pyannote[269].speaker |
SPEAKER_00 |
| transcript.pyannote[269].start |
639.96471875 |
| transcript.pyannote[269].end |
641.43284375 |
| transcript.pyannote[270].speaker |
SPEAKER_00 |
| transcript.pyannote[270].start |
641.77034375 |
| transcript.pyannote[270].end |
643.74471875 |
| transcript.pyannote[271].speaker |
SPEAKER_01 |
| transcript.pyannote[271].start |
643.77846875 |
| transcript.pyannote[271].end |
644.23409375 |
| transcript.pyannote[272].speaker |
SPEAKER_00 |
| transcript.pyannote[272].start |
644.48721875 |
| transcript.pyannote[272].end |
645.60096875 |
| transcript.pyannote[273].speaker |
SPEAKER_01 |
| transcript.pyannote[273].start |
645.93846875 |
| transcript.pyannote[273].end |
646.39409375 |
| transcript.pyannote[274].speaker |
SPEAKER_00 |
| transcript.pyannote[274].start |
646.30971875 |
| transcript.pyannote[274].end |
650.52846875 |
| transcript.pyannote[275].speaker |
SPEAKER_00 |
| transcript.pyannote[275].start |
650.62971875 |
| transcript.pyannote[275].end |
653.39721875 |
| transcript.pyannote[276].speaker |
SPEAKER_01 |
| transcript.pyannote[276].start |
654.93284375 |
| transcript.pyannote[276].end |
659.03346875 |
| transcript.pyannote[277].speaker |
SPEAKER_00 |
| transcript.pyannote[277].start |
655.69221875 |
| transcript.pyannote[277].end |
660.06284375 |
| transcript.pyannote[278].speaker |
SPEAKER_01 |
| transcript.pyannote[278].start |
660.06284375 |
| transcript.pyannote[278].end |
665.46284375 |
| transcript.pyannote[279].speaker |
SPEAKER_00 |
| transcript.pyannote[279].start |
663.35346875 |
| transcript.pyannote[279].end |
664.29846875 |
| transcript.pyannote[280].speaker |
SPEAKER_00 |
| transcript.pyannote[280].start |
665.53034375 |
| transcript.pyannote[280].end |
667.20096875 |
| transcript.pyannote[281].speaker |
SPEAKER_00 |
| transcript.pyannote[281].start |
667.80846875 |
| transcript.pyannote[281].end |
670.30596875 |
| transcript.pyannote[282].speaker |
SPEAKER_01 |
| transcript.pyannote[282].start |
667.85909375 |
| transcript.pyannote[282].end |
668.23034375 |
| transcript.pyannote[283].speaker |
SPEAKER_00 |
| transcript.pyannote[283].start |
670.62659375 |
| transcript.pyannote[283].end |
673.96784375 |
| transcript.pyannote[284].speaker |
SPEAKER_01 |
| transcript.pyannote[284].start |
674.33909375 |
| transcript.pyannote[284].end |
680.58284375 |
| transcript.pyannote[285].speaker |
SPEAKER_00 |
| transcript.pyannote[285].start |
675.46971875 |
| transcript.pyannote[285].end |
677.17409375 |
| transcript.pyannote[286].speaker |
SPEAKER_00 |
| transcript.pyannote[286].start |
679.87409375 |
| transcript.pyannote[286].end |
682.43909375 |
| transcript.pyannote[287].speaker |
SPEAKER_01 |
| transcript.pyannote[287].start |
680.85284375 |
| transcript.pyannote[287].end |
683.97471875 |
| transcript.pyannote[288].speaker |
SPEAKER_00 |
| transcript.pyannote[288].start |
683.75534375 |
| transcript.pyannote[288].end |
688.51409375 |
| transcript.pyannote[289].speaker |
SPEAKER_00 |
| transcript.pyannote[289].start |
688.90221875 |
| transcript.pyannote[289].end |
690.04971875 |
| transcript.pyannote[290].speaker |
SPEAKER_00 |
| transcript.pyannote[290].start |
690.30284375 |
| transcript.pyannote[290].end |
691.46721875 |
| transcript.pyannote[291].speaker |
SPEAKER_00 |
| transcript.pyannote[291].start |
691.82159375 |
| transcript.pyannote[291].end |
694.50471875 |
| transcript.pyannote[292].speaker |
SPEAKER_00 |
| transcript.pyannote[292].start |
694.80846875 |
| transcript.pyannote[292].end |
701.42346875 |
| transcript.pyannote[293].speaker |
SPEAKER_00 |
| transcript.pyannote[293].start |
701.54159375 |
| transcript.pyannote[293].end |
704.03909375 |
| transcript.pyannote[294].speaker |
SPEAKER_00 |
| transcript.pyannote[294].start |
704.12346875 |
| transcript.pyannote[294].end |
705.16971875 |
| transcript.pyannote[295].speaker |
SPEAKER_00 |
| transcript.pyannote[295].start |
705.77721875 |
| transcript.pyannote[295].end |
707.19471875 |
| transcript.pyannote[296].speaker |
SPEAKER_00 |
| transcript.pyannote[296].start |
707.51534375 |
| transcript.pyannote[296].end |
708.96659375 |
| transcript.pyannote[297].speaker |
SPEAKER_00 |
| transcript.pyannote[297].start |
709.23659375 |
| transcript.pyannote[297].end |
711.90284375 |
| transcript.whisperx[0].start |
1.687 |
| transcript.whisperx[0].end |
6.731 |
| transcript.whisperx[0].text |
有請陳主計長委員好我想大概很多委員對你都一定必問的題目GDP CPI |
| transcript.whisperx[1].start |
25.732 |
| transcript.whisperx[1].end |
29.357 |
| transcript.whisperx[1].text |
今年的GDP你們大概預估多少? |
| transcript.whisperx[2].start |
29.357 |
| transcript.whisperx[2].end |
33.523 |
| transcript.whisperx[2].text |
台積業說3.2多啦,那我看總額大概3.5,差不多這個數字是不是? |
| transcript.whisperx[3].start |
36.889 |
| transcript.whisperx[3].end |
37.269 |
| transcript.whisperx[3].text |
本來預測是3.43% |
| transcript.whisperx[4].start |
66.869 |
| transcript.whisperx[4].end |
72.433 |
| transcript.whisperx[4].text |
長電價對GDP是plus還是minus?4月份開始漲電價6月份夏季電價開始失失對CPI都是一個很大的衝擊 |
| transcript.whisperx[5].start |
93.103 |
| transcript.whisperx[5].end |
113.415 |
| transcript.whisperx[5].text |
同樣的會連帶的影響到GDP啊第一個齁 因為如果說能不能先回答這問題是定價長對GDP是加還是減你要告訴我這點應該是負面的啦負面的啦因為第一個他會增加成本嘛是那我們看總薪是七年來開始 |
| transcript.whisperx[6].start |
116.348 |
| transcript.whisperx[6].end |
116.548 |
| transcript.whisperx[6].text |
賴士葆 |
| transcript.whisperx[7].start |
133.847 |
| transcript.whisperx[7].end |
150.307 |
| transcript.whisperx[7].text |
應該同意我的說法嗎?報告委員,實質總薪資我是正成長啦,因為我是七萬兩千多嘛,那這是經常性的薪資,如果換算那個物價指數的一個調整率之後,他是在實質薪資總成長0.88啦 |
| transcript.whisperx[8].start |
154.758 |
| transcript.whisperx[8].end |
181.447 |
| transcript.whisperx[8].text |
可是所有的數字都是今年第一次負責長的經常性收支是負的啦負的零點零九啦是這樣子經常性的薪資是負的來我們來看喔這個主計長是給左政府的管帳房啦自我對帳房的錢都很少喔新任的部會所長上任陸陸續續上任 |
| transcript.whisperx[9].start |
184.76 |
| transcript.whisperx[9].end |
211.06 |
| transcript.whisperx[9].text |
過去的預算是編給他上一任的部長用的他能不能調整啊我問你可不可以調整我們現在是這樣我們4月你不能調整你告訴我我們4月30我們有發一個函就是給他一個額度但是在什麼額度就是說初步出核的額度然後再來就是說我會請他在6月中旬的時候針對調整的計畫要報上來是這樣子嘿 |
| transcript.whisperx[10].start |
214.262 |
| transcript.whisperx[10].end |
237.888 |
| transcript.whisperx[10].text |
現在有哪幾個部會跟你報上來要調整我們到6月中旬所以都還沒有6月20目前都還沒有對還沒有所以我們也給各黨新的現在有一個單位叫速發部或者速衛部都可以是他的國外禮位啊3萬了原來編3700萬領土不算了齁我們把他立法院砍了600萬剩3100萬 |
| transcript.whisperx[11].start |
242.711 |
| transcript.whisperx[11].end |
271.177 |
| transcript.whisperx[11].text |
但是他編的這是出國費用喔國外旅費喔這個呢等下出去2188人次他總共283個人每一個人一年要出差7點7天啊這個唐鳳原部長前部長編的現在的部長啊姓黃是不是他都說他不要出國了 |
| transcript.whisperx[12].start |
272.632 |
| transcript.whisperx[12].end |
272.973 |
| transcript.whisperx[12].text |
一般如果說 |
| transcript.whisperx[13].start |
289.022 |
| transcript.whisperx[13].end |
313.615 |
| transcript.whisperx[13].text |
第一個如果說出國計畫它相關的一個同一個工作計畫它是可以做調整但是不同工作計畫是不可以調整的是這樣子來我先跟你講喔預算法63條定很清楚經過立法院如果刪減的話就不得留用所以這裡面有一個矛盾地方在這裡新的部長來了他不認同這一筆的一個出國費用 |
| transcript.whisperx[14].start |
315.162 |
| transcript.whisperx[14].end |
330.088 |
| transcript.whisperx[14].text |
他要把他挪到其他地方來用他覺得他不應該出國這麼多他還看到外界批評很多說這個數位部等於出國部、旅遊部所以他把他他說我沒這麼緊可能砍一半砍三分之一砍三分之二 |
| transcript.whisperx[15].start |
331.377 |
| transcript.whisperx[15].end |
348.324 |
| transcript.whisperx[15].text |
好了那問題預算法63條你不能動啊不能留用啊法定在這裡啊主計長你旁邊的給你校長沒用啊這裡法在這裡不能留用你出不了國你不要出國你就乖乖講庫對吧這樣對吧 |
| transcript.whisperx[16].start |
349.825 |
| transcript.whisperx[16].end |
362.32 |
| transcript.whisperx[16].text |
第一個流用的規範他有分第一個用途別不得流用的一個小規範我跟妳講預算法六三條三減以後不得流用阿三減以後不得流用一般三減以後他不會用 |
| transcript.whisperx[17].start |
363.055 |
| transcript.whisperx[17].end |
382.334 |
| transcript.whisperx[17].text |
什麼意思就是說你被刪減的預算他本來三千他本來變成三千一百萬那三千一百萬的部分呢他是就三千一百萬去做執行阿對啊阿他就用不了那麼多都不要花三千一百萬阿這只要花一千萬阿可能阿你才懷疑我 |
| transcript.whisperx[18].start |
384.181 |
| transcript.whisperx[18].end |
403.838 |
| transcript.whisperx[18].text |
他還是嫌多 現在新的部長都這樣啊不是 他是你三檢的這個計劃裡面 你在這個計劃依照預算法規定他在整個計劃裡面他是可以整體調整流用的預算法六三條講假的喔不是 他說好像六三條經過立法院三檢會不得流用啊 |
| transcript.whisperx[19].start |
405.28 |
| transcript.whisperx[19].end |
418.928 |
| transcript.whisperx[19].text |
這很清楚的啊我刪減又不得不得留用啊不是通刪的部分它是依照規定是可以的什麼空單就是如果是屬於通刪通利刪減的部分這不是通刪欸 |
| transcript.whisperx[20].start |
422.45 |
| transcript.whisperx[20].end |
436.337 |
| transcript.whisperx[20].text |
這不是通山你搞清楚因為那時候不分黨派大家就很討厭唐鳳把這個錢三六百萬是這樣子的不是通山不是通山主計長要進入狀況我們同仁提供給我的訊息這不是通山我告訴你不是通山 |
| transcript.whisperx[21].start |
446.9 |
| transcript.whisperx[21].end |
459.045 |
| transcript.whisperx[21].text |
同山是固定多少這是另外再刪的在委員會裡面刪掉的刪600萬不是同山你回去查一下有結果告訴我再來看那個前瞻5期 |
| transcript.whisperx[22].start |
469.161 |
| transcript.whisperx[22].end |
469.922 |
| transcript.whisperx[22].text |
原則上應該是八月底啦八月底吼涵蓋得像不像那些 |
| transcript.whisperx[23].start |
489.944 |
| transcript.whisperx[23].end |
507.05 |
| transcript.whisperx[23].text |
因為項目原則上其實當初都有定下來所以現在大概就是說會針對有一些譬如說要支付的一個項目會不會左政府上來以後來政府上來左政府會不會變一個前瞻奧廷會不會 |
| transcript.whisperx[24].start |
512.628 |
| transcript.whisperx[24].end |
526.671 |
| transcript.whisperx[24].text |
這個部分要看你的整個政策還沒有聽到我是有聽到這個聲音你們要編一個簽證要聽聽我們希望你帳門管好這個錢不要亂花不用特別預算財政紀律要顧好最後一個問題你第一次來 |
| transcript.whisperx[25].start |
539.457 |
| transcript.whisperx[25].end |
539.477 |
| transcript.whisperx[25].text |
謝謝委員 |
| transcript.whisperx[26].start |
551.67 |
| transcript.whisperx[26].end |
569.983 |
| transcript.whisperx[26].text |
那你要給我就提供老實提供資料open data其實主計處主計總處很多資料都很寶貴但是你給的資料都不好用Excel資料都不好用open data你知道什麼叫open data你硬卡會主委做過門 |
| transcript.whisperx[27].start |
574.588 |
| transcript.whisperx[27].end |
590.555 |
| transcript.whisperx[27].text |
就現在不是不僅僅只有你政府的單位所提供的資料都不能夠解鎖都是這樣給你啊很難用的啦很難用的所以你們不能在這裡公開承諾 |
| transcript.whisperx[28].start |
592.117 |
| transcript.whisperx[28].end |
610.164 |
| transcript.whisperx[28].text |
我們主計總處以後提供的資料給我們委的資料都是可以全面確認解鎖這樣我們找起來就方便了一看 喔 什麼地方限制這個停車場啦什麼地方有 什麼地方有喔 什麼地方浪費不太清楚可不可以來 你告訴我 |
| transcript.whisperx[29].start |
611.26 |
| transcript.whisperx[29].end |
639.049 |
| transcript.whisperx[29].text |
那事實上呢我們送立法院提案的一個相關的一個資料庫我們都有依照規定來公開啦在機關的網站裡面那如果說我們要如果要供外界來加值使用我們也是有一些資料有做開放用open data來開放那但是如果說要有一些民眾查詢要這個我們還是要再回去研議評估啦我告訴你一個事情 |
| transcript.whisperx[30].start |
640.069 |
| transcript.whisperx[30].end |
653.165 |
| transcript.whisperx[30].text |
在去年的時候主主計長前任的主計長是他就同意了是他說今年要給我今年要提供給我們的都是可以retrieval就是可以檢索 |
| transcript.whisperx[31].start |
655.077 |
| transcript.whisperx[31].end |
656.498 |
| transcript.whisperx[31].text |
主計總處提供的資料都可以全文檢索 |
| transcript.whisperx[32].start |
674.395 |
| transcript.whisperx[32].end |
674.535 |
| transcript.whisperx[32].text |
這個留記錄了 |
| transcript.whisperx[33].start |
691.887 |
| transcript.whisperx[33].end |
708.041 |
| transcript.whisperx[33].text |
主計總處提供給立委的資料open data都可以retrieval就是可以檢索這個非常重要各位注意看他提供資料都非常寶貴但是不好用那現在9月底以後可以好用謝謝 |