IVOD_ID |
151525 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/151525 |
日期 |
2024-04-22 |
會議資料.會議代碼 |
委員會-11-1-20-10 |
會議資料.會議代碼:str |
第11屆第1會期財政委員會第10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 |
10 |
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10次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-04-22T10:06:10+08:00 |
結束時間 |
2024-04-22T10:19:51+08:00 |
影片長度 |
00:13:41 |
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/5754819b6179c3367e2216eb0a9bcf2b7dee175bc8e0be1adcb4691eb09bf4e2feac053b3bfb4f645ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
賴士葆 |
委員發言時間 |
10:06:10 - 10:19:51 |
會議時間 |
2024-04-22T09:00:00+08:00 |
會議名稱 |
立法院第11屆第1會期財政委員會第10次全體委員會議(事由:一、審查「娛樂稅法」6案:
(一) 本院委員徐富癸等17人、委員陳秀寳等18人、委員羅明才等19人、委員王世堅等23人分別擬具「娛樂稅法第二條及第五條條文修正草案」等4案。【本院委員王世堅等23人提案須經各黨團簽署不復議同意書】
(二) 本院委員黃捷等19人、委員羅明才等16人分別擬廢止「娛樂稅法」等2案。【本院委員羅明才等16人提案須經各黨團簽署不復議同意書】
二、審查「保險法」4案:
(一) 本院委員羅明才等17人擬具「保險法第一百四十六條之四條文修正草案」案。
(二) 本院台灣民眾黨黨團、委員蔡易餘等19人、委員王鴻薇等16人分別擬具「保險法第一百七十七條條文修正草案」等3案。【本院台灣民眾黨黨團提案須經各黨團簽署不復議同意書】
三、審查人民請願案有關「娛樂稅法」3案。
【4月22日及24日二天一次會】) |
gazette.lineno |
293 |
gazette.blocks[0][0] |
賴委員士葆:(10時6分)主席及各位先進。有請財政部莊部長。 |
gazette.blocks[1][0] |
主席:請莊部長。 |
gazette.blocks[2][0] |
賴委員士葆:旁邊關務署、國庫署的同仁要幫忙可以到旁邊去。 |
gazette.blocks[3][0] |
主席:請各位署長就位。 |
gazette.blocks[4][0] |
莊部長翠雲:委員好。 |
gazette.blocks[5][0] |
賴委員士葆:部長早安。剛才你回答林德福委員的一些說明,我想再請教你一下。你有沒有收到我現在放出來的這一張文──外交部給你們的函?是3月15號發的,你有沒有收到? |
gazette.blocks[6][0] |
莊部長翠雲:這一件公文是給我們的國庫署還有…… |
gazette.blocks[7][0] |
賴委員士葆:對,國庫署還有…… |
gazette.blocks[8][0] |
莊部長翠雲:他們都有收到。 |
gazette.blocks[9][0] |
賴委員士葆:都收到了? |
gazette.blocks[10][0] |
莊部長翠雲:對。 |
gazette.blocks[11][0] |
賴委員士葆:你們什麼時候回文給外交部? |
gazette.blocks[12][0] |
莊部長翠雲:回文給外交部是由國庫署回文。 |
gazette.blocks[13][0] |
賴委員士葆:什麼時候回的? |
gazette.blocks[14][0] |
莊部長翠雲:我們是在3月15號回的。 |
gazette.blocks[15][0] |
賴委員士葆:效率這麼高,坐高鐵都沒這麼快,像坐飛機嚇嚇叫,什麼時候部會來往是咻的一聲,像火箭的速度? |
gazette.blocks[16][0] |
莊部長翠雲:跟委員報…… |
gazette.blocks[17][0] |
賴委員士葆:外交部給你們文,你馬上回。好,你先不要急著回答,重點在於他要什麼東西?他說免附菸酒進口業許可執照,因為他是大使,大使回國以後有一個相關的處理辦法。第二個,免辦理進口酒類衛生查驗。老實講,部長,你聽清楚,這是外交部幫你們定的,憑什麼外交部規定駐外大使回來時帶的酒,你們就可以免辦進口酒類衛生查驗?我知道你們是根據這個辦法,但是這個辦法是外交部定的,財政部為什麼變成它的下屬單位呢? |
gazette.blocks[18][0] |
莊部長翠雲:不是只有大使,而是政府派駐到國外的政府官員,他奉調回國的時候攜帶的自用物品,這個地方很重要的就是「自用」物品。 |
gazette.blocks[19][0] |
賴委員士葆:好,那請問你…… |
gazette.blocks[20][0] |
莊部長翠雲:不是只有大使,而且這裡面我們要審核他是否自用,同時數量要是合理的情形。 |
gazette.blocks[21][0] |
賴委員士葆:要自用。我問了相關的官員,你們說因為外交部匡在那裡,所以不管是不是大使,只要是從外面回來的政府官員自用,都不需要進口業的許可執照。比如說進來一個貨櫃算不算?我很會喝,我進口一個貨櫃可以嗎?20呎的,可不可以? |
gazette.blocks[22][0] |
莊部長翠雲:第一個,以這個數量來看,您覺得他符合自用嗎?當然不符合,所以…… |
gazette.blocks[23][0] |
賴委員士葆:我自用啊! |
gazette.blocks[24][0] |
莊部長翠雲:所以這個案子外交部也附了相關的一個清單給我們看,只是15公升,23瓶,所以…… |
gazette.blocks[25][0] |
賴委員士葆:超過15公升啦!超過5公升,超過1公升啦! |
gazette.blocks[26][0] |
莊部長翠雲:是,超過1公升是一定要課稅的,不因為他是駐外人員回…… |
gazette.blocks[27][0] |
賴委員士葆:部長啊…… |
gazette.blocks[28][0] |
莊部長翠雲:所以關稅、營業稅跟菸酒稅依然要課,只是不需要…… |
gazette.blocks[29][0] |
賴委員士葆:昨天下午整個新聞炒熱起來你們才說要課稅,原來外交部希望你們便利放行,他只是沒有講,我們都瞭解,財政部過去對於這些駐外人員回來,不管是不是大使,基本上都沒有在檢查。 |
gazette.blocks[30][0] |
莊部長翠雲:有,通關的程序依然要做。 |
gazette.blocks[31][0] |
賴委員士葆:我要強調,特別是根本沒有在課稅。 |
gazette.blocks[32][0] |
莊部長翠雲:有在課稅。 |
gazette.blocks[33][0] |
賴委員士葆:有嗎? |
gazette.blocks[34][0] |
莊部長翠雲:有。 |
gazette.blocks[35][0] |
賴委員士葆:算幾個數字出來給我。 |
gazette.blocks[36][0] |
莊部長翠雲:只要超過1公升都要課稅,而且通關的程序依然要經過一定的海關查驗,海關…… |
gazette.blocks[37][0] |
賴委員士葆:這一批貨現在到了沒有? |
gazette.blocks[38][0] |
莊部長翠雲:還沒。 |
gazette.blocks[39][0] |
賴委員士葆:還沒有到,各位,3月15號它給你公文,你馬上回,你看,因為蕭美琴馬上要當你的長官,這個東西…… |
gazette.blocks[40][0] |
莊部長翠雲:我們的程序當然怎麼做…… |
gazette.blocks[41][0] |
賴委員士葆:部長先不要急著講,我告訴你們,這個叫財政部與外交部爭相拍馬屁,就這樣子,爭相拍馬屁啦!就是這樣子。 |
gazette.blocks[42][0] |
莊部長翠雲:委員,不是這樣的。 |
gazette.blocks[43][0] |
賴委員士葆:當然是這樣子。 |
gazette.blocks[44][0] |
莊部長翠雲:駐外人員不是只有外交部。 |
gazette.blocks[45][0] |
賴委員士葆:當然是這樣子。昨天媒體討論,你們還罵媒體。這是財政部發的,組長叫呂姿慧,財政部睜眼說瞎話,說「有關媒體報導前駐美國蕭大使美琴帶私酒進口要求免查驗,並非事實。」回到剛才那一頁,這裡已經講了,上面就寫你都同意免查驗了,你剛剛講同意了,怎麼又發這個新聞稿呢?並非事實?為什麼不是事實呢?前面就秀在那裡,怎麼不是事實呢? |
gazette.blocks[46][0] |
莊部長翠雲:海關的通關查驗都要做,稅也要課,只是因為他是自用,所以進口酒類衛生查驗依照相關規定不需要查驗,這個部分要把它講清楚,而不是說…… |
gazette.blocks[47][0] |
賴委員士葆:並非事實…… |
gazette.blocks[48][0] |
莊部長翠雲:並不是用特權…… |
gazette.blocks[49][0] |
賴委員士葆:財政部睜眼說瞎話,明明外交部的要求就是兩大重點──免附菸酒進口業許可執照、免辦理衛生查驗,就是免查驗。你們發文說媒體報導蕭美琴進口要求免查驗,你說依法免查驗,對不對?只是後來你補一個說要課稅,他也沒有談到稅,你們的公文沒有談到稅的問題,讓你們有一個站得住腳的地方,對不對?本來昨天有媒體問我,我就跟他說要看超過有沒有課稅,財政部一直沒有講,等到昨天晚上才講,到晚上才發新聞稿,我才追蹤這個題目,對不對? |
gazette.blocks[50][0] |
莊部長翠雲:他要課稅,所有的案子超過1公升都要課稅。 |
gazette.blocks[51][0] |
賴委員士葆:早就可以講了,中午就可以講,一直到晚上才講,你們的時間拖很久,所以我就是…… |
gazette.blocks[52][0] |
莊部長翠雲:第一個,我們內部需要瞭解整個案情怎麼樣。 |
gazette.blocks[53][0] |
賴委員士葆:需要瞭解?奇怪了,3月15號的公文你馬上就可以回,人家媒體問你的時候就要整個……這麼簡單的事情,超過1公升要課稅就沒講到、閉嘴,這個話你就不敢講。 |
gazette.blocks[54][0] |
莊部長翠雲:沒有不敢講,我們在新聞稿裡面一定說明。 |
gazette.blocks[55][0] |
賴委員士葆:講得太晚,而且還說並非事實,還罵媒體,我覺得很奇怪,睜眼說瞎話。部長看清楚,這個文是外交部給你的,不要要求菸酒進口業許可執照,不要做酒類衛生查驗,第三,便利放行,結果你們還罵媒體,說這個並不是事實,這就是事實。部長,不能這樣子。 |
gazette.blocks[56][0] |
莊部長翠雲:我跟委員報告,一開始的時候是說什麼特權、私菸案,這個查驗我們是…… |
gazette.blocks[57][0] |
賴委員士葆:那你可以講特權不是事實啊!不查驗就真的是如此啊! |
gazette.blocks[58][0] |
莊部長翠雲:這確實不是事實,然後查驗的部分,海關的查驗一定要做。 |
gazette.blocks[59][0] |
賴委員士葆:是嗎? |
gazette.blocks[60][0] |
莊部長翠雲:一定要做,而且稅要課,只是他不需要經過酒類衛生查驗這個部分,所以我們還是要講清楚。 |
gazette.blocks[61][0] |
賴委員士葆:你這一句話很不好,這一句話感覺就是爭相拍馬屁,睜眼說瞎話。 |
gazette.blocks[61][1] |
第二個,回到今天的題目──娛樂稅。當然你連任部長,其實你不用那麼擔心,短時間不會被換掉,不必爭相拍馬屁。娛樂稅每年課不到20億,老實講,主席提出的訴求是有他一定的道理,你知道稽徵成本多少?地方政府每一個稅捐稽徵處底下都有一個組、一個科或者一個股,專門來課娛樂稅,都課一點點,這裡面主要是六都占了13.6億、占了72%,其他的縣市都要課,他們都有專門的人在辦理,所以老實講,主席主張廢除沒什麼不對啊!但是地方財源,地方需要錢,這個20億不到,19億左右,財政部補貼、專款補貼,不可以用統籌分配稅款,財政部專款給19億,然後這個就是給地方政府娛樂稅,我相信每一個地方政府都鼓掌說莊部長英明,你覺得怎麼樣? |
gazette.blocks[62][0] |
莊部長翠雲:委員,對於是不是廢止,財政部也邀請過地方政府來開會,地方政府其實基本上他們基於財政自主,而且對鄉鎮來說是個非常重要的財源,所以他們並不贊成廢止。 |
gazette.blocks[63][0] |
賴委員士葆:那是你說的喔!我問了幾家,今天有來了好幾位的長官,他們都說我的主張他們比較贊成;他們說廢掉,但這個錢財政部出,財政部出這個錢,19億你怎麼出不起呢?請問你一年稅收多少? |
gazette.blocks[64][0] |
莊部長翠雲:當然我們中央的稅收、整體稅收大概是兩兆多。 |
gazette.blocks[65][0] |
賴委員士葆:兩兆多啊!你就負擔19億不行嗎?是不是…… |
gazette.blocks[66][0] |
莊部長翠雲:我覺得對地方政府來說…… |
gazette.blocks[67][0] |
賴委員士葆:廢掉,你們負擔19億? |
gazette.blocks[68][0] |
莊部長翠雲:他們還是需要財政的自主權,還是需要在他們自己身上。 |
gazette.blocks[69][0] |
賴委員士葆:或者另外學者又講,不然就是讓地方自己去立這個法,你這個法也不要管了。 |
gazette.blocks[70][0] |
莊部長翠雲:當然我們也考慮到一個方向…… |
gazette.blocks[71][0] |
賴委員士葆:這個法你不要管。 |
gazette.blocks[72][0] |
莊部長翠雲:地方政府可以…… |
gazette.blocks[73][0] |
賴委員士葆:它自己課啊! |
gazette.blocks[74][0] |
莊部長翠雲:第一個,稅率本身…… |
gazette.blocks[75][0] |
賴委員士葆:它可以課高,也可以課低啊! |
gazette.blocks[76][0] |
莊部長翠雲:我們有個上限,他們自己可以定稅率,然後至於項目的部分,如果說我們也可以賦予地方政府它自己做彈性的起徵…… |
gazette.blocks[77][0] |
賴委員士葆:我覺得不僅僅是娛樂稅,很多稅都應該讓地方能夠自主儘量自主吧!不要去管人又管錢,然後現在來講,財劃法你們又抓在手上,請問部長,你知不知道有一個人叫李述德?你聽過吧? |
gazette.blocks[78][0] |
莊部長翠雲:當然,是我們前部長。 |
gazette.blocks[79][0] |
賴委員士葆:是啊!是啊!他在任內割了財劃法一塊肉、962億要給地方政府,請問你準備要割多少給地方政府? |
gazette.blocks[80][0] |
莊部長翠雲:跟委員報告,地方政府有關財劃法的部分涉及到分配的問題,也就是說未來地方政府怎麼去分配中央統籌分配稅款,所以這個部分我們也已經跟地方政府洽詢過相關分配的指標,因為目前來說還是相當分歧…… |
gazette.blocks[81][0] |
賴委員士葆:你們就是「推」啦!其實我們要的是垂直,你要挖一塊給地方政府去分,好,這個我們再找時間談。 |
gazette.blocks[82][0] |
莊部長翠雲:是。 |
gazette.blocks[83][0] |
賴委員士葆:最後請黃主委一起來,好不好?我們聊很簡單的一個小題目。 |
gazette.blocks[84][0] |
主席:請黃主委。 |
gazette.blocks[85][0] |
賴委員士葆:2012年到2018年,華南銀行洗錢案被控,然後最近才判決,香港分行罰了3,600萬,金管會的態度怎麼樣? |
gazette.blocks[86][0] |
黃主任委員天牧:這個案子我們全程都有掌握,因為它不是真正有犯洗錢,而是在洗錢防制的程序上,對於警示帳戶它沒有做到金管局要求的處理程序這個部分,而且都已經有委外找顧問公司去改善了。 |
gazette.blocks[87][0] |
賴委員士葆:所以是法遵的問題吧? |
gazette.blocks[88][0] |
黃主任委員天牧:是法遵的問題,不是真正有commits那個money laundering…… |
gazette.blocks[89][0] |
賴委員士葆:莊部長,華南銀行是你管的,你要不要講兩句? |
gazette.blocks[90][0] |
莊部長翠雲:這個事情我們都知道,因為華南銀行都跟我們說了,這個部分事實上是107年以前的事情,而且是華南銀行的香港分行主動跟香港的金管局去匯報的,告訴他們說之前有這樣一個警示帳戶的問題,出了一些很大的案件,事實上,這個部分香港的金管局受理以後,其實香港分行他們在洗錢防制或者是資恐的這個部分都做了相當多的改善,也經過顧問公司做過驗證,是有效性的改善,所以這個部分是107年以前,而且他們主動通報。 |
gazette.blocks[91][0] |
賴委員士葆:好啦!你們兩位要加強啦!就這樣子,謝謝。 |
gazette.blocks[92][0] |
莊部長翠雲:他們也都做了非常大的改善,謝謝。 |
gazette.blocks[93][0] |
主席:謝謝,請回。 |
gazette.blocks[93][1] |
下一位質詢請王世堅委員。 |
gazette.agenda.page_end |
122 |
gazette.agenda.meet_id |
委員會-11-1-20-10 |
gazette.agenda.speakers[0] |
羅明才 |
gazette.agenda.speakers[1] |
王世堅 |
gazette.agenda.speakers[2] |
徐富癸 |
gazette.agenda.speakers[3] |
王鴻薇 |
gazette.agenda.speakers[4] |
林德福 |
gazette.agenda.speakers[5] |
吳秉叡 |
gazette.agenda.speakers[6] |
賴士葆 |
gazette.agenda.speakers[7] |
郭國文 |
gazette.agenda.speakers[8] |
李坤城 |
gazette.agenda.speakers[9] |
李彥秀 |
gazette.agenda.speakers[10] |
顏寬恒 |
gazette.agenda.speakers[11] |
賴惠員 |
gazette.agenda.speakers[12] |
黃珊珊 |
gazette.agenda.speakers[13] |
陳玉珍 |
gazette.agenda.speakers[14] |
楊瓊瓔 |
gazette.agenda.speakers[15] |
洪孟楷 |
gazette.agenda.speakers[16] |
黃國昌 |
gazette.agenda.speakers[17] |
伍麗華Saidhai‧Tahovecahe |
gazette.agenda.speakers[18] |
鄭天財Sra Kacaw |
gazette.agenda.speakers[19] |
徐欣瑩 |
gazette.agenda.page_start |
53 |
gazette.agenda.meetingDate[0] |
2024-04-22 |
gazette.agenda.gazette_id |
1133201 |
gazette.agenda.agenda_lcidc_ids[0] |
1133201_00003 |
gazette.agenda.meet_name |
立法院第11屆第1會期財政委員會第10次全體委員會議紀錄 |
gazette.agenda.content |
一、審查「娛樂稅法」6案:(一)本院委員徐富癸等17人、委員陳秀寳等18人、委員羅明才等19
人、委員王世堅等23人分別擬具「娛樂稅法第二條及第五條條文修正草案」等 4案、(二)本院委
員黃捷等19 人、委員羅明才等16 人分別擬廢止「娛樂稅法」等 2 案;二、審查「保險法」 4 案:
(一)本院委員羅明才等17人擬具「保險法第一百四十六條之四條文修正草案」案、(二)本院委員
蔡易餘等 19 人、委員王鴻薇等 16 人分別擬具「保險法第一百七十七條條文修正草案」等 2 案;
三、審查人民請願案有關「娛樂稅法」3案 |
gazette.agenda.agenda_id |
1133201_00002 |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
1.02659375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
1.34721875 |
transcript.pyannote[1].end |
5.02596875 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
5.26221875 |
transcript.pyannote[2].end |
5.93721875 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
7.15221875 |
transcript.pyannote[3].end |
10.62846875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
10.71284375 |
transcript.pyannote[4].end |
12.01221875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
12.38346875 |
transcript.pyannote[5].end |
13.51409375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
13.73346875 |
transcript.pyannote[6].end |
14.13846875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
14.34096875 |
transcript.pyannote[7].end |
14.69534375 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
14.96534375 |
transcript.pyannote[8].end |
15.47159375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
16.56846875 |
transcript.pyannote[9].end |
17.56409375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
18.35721875 |
transcript.pyannote[10].end |
20.53409375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
21.34409375 |
transcript.pyannote[11].end |
23.21721875 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
24.12846875 |
transcript.pyannote[12].end |
26.15346875 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
27.28409375 |
transcript.pyannote[13].end |
30.33846875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
30.65909375 |
transcript.pyannote[14].end |
32.71784375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
33.25784375 |
transcript.pyannote[15].end |
35.29971875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
35.65409375 |
transcript.pyannote[16].end |
36.37971875 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
35.68784375 |
transcript.pyannote[17].end |
36.17721875 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
36.37971875 |
transcript.pyannote[18].end |
36.39659375 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
36.44721875 |
transcript.pyannote[19].end |
45.30659375 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
37.76346875 |
transcript.pyannote[20].end |
38.33721875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
39.82221875 |
transcript.pyannote[21].end |
40.93596875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
42.58971875 |
transcript.pyannote[22].end |
44.26034375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
44.26034375 |
transcript.pyannote[23].end |
44.41221875 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
46.23471875 |
transcript.pyannote[24].end |
51.16221875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
50.28471875 |
transcript.pyannote[25].end |
51.07784375 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
53.11971875 |
transcript.pyannote[26].end |
56.81534375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
56.47784375 |
transcript.pyannote[27].end |
58.16534375 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
58.67159375 |
transcript.pyannote[28].end |
61.00034375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
61.42221875 |
transcript.pyannote[29].end |
67.44659375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
68.67846875 |
transcript.pyannote[30].end |
69.85971875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
70.38284375 |
transcript.pyannote[31].end |
75.69846875 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
72.61034375 |
transcript.pyannote[32].end |
72.88034375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
76.03596875 |
transcript.pyannote[33].end |
78.34784375 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
79.00596875 |
transcript.pyannote[34].end |
79.81596875 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
80.40659375 |
transcript.pyannote[35].end |
81.06471875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
81.57096875 |
transcript.pyannote[36].end |
84.20346875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
84.37221875 |
transcript.pyannote[37].end |
85.70534375 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
86.54909375 |
transcript.pyannote[38].end |
87.08909375 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
87.94971875 |
transcript.pyannote[39].end |
88.38846875 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
88.86096875 |
transcript.pyannote[40].end |
90.24471875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
90.86909375 |
transcript.pyannote[41].end |
92.60721875 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
92.97846875 |
transcript.pyannote[42].end |
94.88534375 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
95.02034375 |
transcript.pyannote[43].end |
95.71221875 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
95.77971875 |
transcript.pyannote[44].end |
97.99034375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
98.19284375 |
transcript.pyannote[45].end |
99.77909375 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
100.79159375 |
transcript.pyannote[46].end |
101.43284375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
103.15409375 |
transcript.pyannote[47].end |
103.69409375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
103.87971875 |
transcript.pyannote[48].end |
104.31846875 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
105.01034375 |
transcript.pyannote[49].end |
105.78659375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
106.19159375 |
transcript.pyannote[50].end |
109.16159375 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
109.44846875 |
transcript.pyannote[51].end |
111.08534375 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
111.15284375 |
transcript.pyannote[52].end |
111.49034375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
111.76034375 |
transcript.pyannote[53].end |
116.18159375 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
116.56971875 |
transcript.pyannote[54].end |
119.26971875 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
119.92784375 |
transcript.pyannote[55].end |
123.64034375 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
123.87659375 |
transcript.pyannote[56].end |
127.82534375 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
127.82534375 |
transcript.pyannote[57].end |
127.94346875 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
128.21346875 |
transcript.pyannote[58].end |
156.02346875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
135.80721875 |
transcript.pyannote[59].end |
135.94221875 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
135.94221875 |
transcript.pyannote[60].end |
135.97596875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
135.97596875 |
transcript.pyannote[61].end |
136.07721875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
138.87846875 |
transcript.pyannote[62].end |
139.28346875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
143.80596875 |
transcript.pyannote[63].end |
145.64534375 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
150.77534375 |
transcript.pyannote[64].end |
151.23096875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
152.85096875 |
transcript.pyannote[65].end |
153.42471875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
156.02346875 |
transcript.pyannote[66].end |
156.05721875 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
156.05721875 |
transcript.pyannote[67].end |
156.25971875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
156.25971875 |
transcript.pyannote[68].end |
157.91346875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
158.75721875 |
transcript.pyannote[69].end |
162.04784375 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
162.30096875 |
transcript.pyannote[70].end |
163.22909375 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
163.58346875 |
transcript.pyannote[71].end |
167.41409375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
167.76846875 |
transcript.pyannote[72].end |
168.73034375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
169.69221875 |
transcript.pyannote[73].end |
172.56096875 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
172.72971875 |
transcript.pyannote[74].end |
180.93096875 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
181.06596875 |
transcript.pyannote[75].end |
192.40596875 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
181.42034375 |
transcript.pyannote[76].end |
181.99409375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
185.31846875 |
transcript.pyannote[77].end |
185.97659375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
185.97659375 |
transcript.pyannote[78].end |
186.60096875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
186.76971875 |
transcript.pyannote[79].end |
187.05659375 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
192.45659375 |
transcript.pyannote[80].end |
203.99909375 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
200.72534375 |
transcript.pyannote[81].end |
201.56909375 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
204.33659375 |
transcript.pyannote[82].end |
216.94221875 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
210.83346875 |
transcript.pyannote[83].end |
211.39034375 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
215.13659375 |
transcript.pyannote[84].end |
226.05471875 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
226.12221875 |
transcript.pyannote[85].end |
230.83034375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
231.01596875 |
transcript.pyannote[86].end |
238.40721875 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
237.07409375 |
transcript.pyannote[87].end |
241.88346875 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
239.50409375 |
transcript.pyannote[88].end |
240.82034375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
241.00596875 |
transcript.pyannote[89].end |
245.25846875 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
243.73971875 |
transcript.pyannote[90].end |
258.08346875 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
245.56221875 |
transcript.pyannote[91].end |
248.43096875 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
254.32034375 |
transcript.pyannote[92].end |
254.70846875 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
255.21471875 |
transcript.pyannote[93].end |
256.95284375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
257.66159375 |
transcript.pyannote[94].end |
257.89784375 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
258.08346875 |
transcript.pyannote[95].end |
259.18034375 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
258.18471875 |
transcript.pyannote[96].end |
259.92284375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
259.72034375 |
transcript.pyannote[97].end |
259.75409375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
259.78784375 |
transcript.pyannote[98].end |
261.61034375 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
261.88034375 |
transcript.pyannote[99].end |
265.03596875 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
265.15409375 |
transcript.pyannote[100].end |
275.16096875 |
transcript.pyannote[101].speaker |
SPEAKER_02 |
transcript.pyannote[101].start |
272.32596875 |
transcript.pyannote[101].end |
274.31721875 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
275.14409375 |
transcript.pyannote[102].end |
275.43096875 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
275.71784375 |
transcript.pyannote[103].end |
282.28221875 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
282.46784375 |
transcript.pyannote[104].end |
286.99034375 |
transcript.pyannote[105].speaker |
SPEAKER_02 |
transcript.pyannote[105].start |
282.75471875 |
transcript.pyannote[105].end |
293.03159375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
286.99034375 |
transcript.pyannote[106].end |
287.00721875 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
287.42909375 |
transcript.pyannote[107].end |
287.90159375 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
289.15034375 |
transcript.pyannote[108].end |
290.56784375 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
293.03159375 |
transcript.pyannote[109].end |
295.96784375 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
296.33909375 |
transcript.pyannote[110].end |
300.42284375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
301.50284375 |
transcript.pyannote[111].end |
303.19034375 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
303.74721875 |
transcript.pyannote[112].end |
305.73846875 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
306.16034375 |
transcript.pyannote[113].end |
306.71721875 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
306.76784375 |
transcript.pyannote[114].end |
315.66096875 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
316.52159375 |
transcript.pyannote[115].end |
323.10284375 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
323.98034375 |
transcript.pyannote[116].end |
328.31721875 |
transcript.pyannote[117].speaker |
SPEAKER_02 |
transcript.pyannote[117].start |
327.20346875 |
transcript.pyannote[117].end |
327.42284375 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
327.52409375 |
transcript.pyannote[118].end |
327.62534375 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
328.31721875 |
transcript.pyannote[119].end |
352.11096875 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
328.99221875 |
transcript.pyannote[120].end |
333.29534375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
347.38596875 |
transcript.pyannote[121].end |
348.02721875 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
348.02721875 |
transcript.pyannote[122].end |
349.30971875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
351.60471875 |
transcript.pyannote[123].end |
353.62971875 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
354.05159375 |
transcript.pyannote[124].end |
358.20284375 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
358.77659375 |
transcript.pyannote[125].end |
359.75534375 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
359.97471875 |
transcript.pyannote[126].end |
362.20221875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
363.26534375 |
transcript.pyannote[127].end |
364.17659375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
364.51409375 |
transcript.pyannote[128].end |
370.23471875 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
370.79159375 |
transcript.pyannote[129].end |
381.82784375 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
382.24971875 |
transcript.pyannote[130].end |
386.26596875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
386.50221875 |
transcript.pyannote[131].end |
389.74221875 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
390.28221875 |
transcript.pyannote[132].end |
396.86346875 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
397.11659375 |
transcript.pyannote[133].end |
402.71909375 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
402.19596875 |
transcript.pyannote[134].end |
405.99284375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
403.49534375 |
transcript.pyannote[135].end |
405.21659375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
405.99284375 |
transcript.pyannote[136].end |
406.07721875 |
transcript.pyannote[137].speaker |
SPEAKER_02 |
transcript.pyannote[137].start |
406.07721875 |
transcript.pyannote[137].end |
406.60034375 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
406.17846875 |
transcript.pyannote[138].end |
410.07659375 |
transcript.pyannote[139].speaker |
SPEAKER_02 |
transcript.pyannote[139].start |
407.22471875 |
transcript.pyannote[139].end |
408.01784375 |
transcript.pyannote[140].speaker |
SPEAKER_02 |
transcript.pyannote[140].start |
408.47346875 |
transcript.pyannote[140].end |
409.43534375 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
410.29596875 |
transcript.pyannote[141].end |
413.56971875 |
transcript.pyannote[142].speaker |
SPEAKER_02 |
transcript.pyannote[142].start |
410.46471875 |
transcript.pyannote[142].end |
412.67534375 |
transcript.pyannote[143].speaker |
SPEAKER_02 |
transcript.pyannote[143].start |
412.82721875 |
transcript.pyannote[143].end |
413.53596875 |
transcript.pyannote[144].speaker |
SPEAKER_02 |
transcript.pyannote[144].start |
413.56971875 |
transcript.pyannote[144].end |
418.04159375 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
413.89034375 |
transcript.pyannote[145].end |
414.64971875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
416.50596875 |
transcript.pyannote[146].end |
429.70221875 |
transcript.pyannote[147].speaker |
SPEAKER_02 |
transcript.pyannote[147].start |
429.12846875 |
transcript.pyannote[147].end |
429.60096875 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
429.70221875 |
transcript.pyannote[148].end |
429.73596875 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
429.95534375 |
transcript.pyannote[149].end |
430.47846875 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
430.47846875 |
transcript.pyannote[150].end |
430.54596875 |
transcript.pyannote[151].speaker |
SPEAKER_02 |
transcript.pyannote[151].start |
430.78221875 |
transcript.pyannote[151].end |
430.91721875 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
430.91721875 |
transcript.pyannote[152].end |
430.96784375 |
transcript.pyannote[153].speaker |
SPEAKER_02 |
transcript.pyannote[153].start |
430.96784375 |
transcript.pyannote[153].end |
437.65034375 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
431.84534375 |
transcript.pyannote[154].end |
433.22909375 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
434.10659375 |
transcript.pyannote[155].end |
434.83221875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
436.01346875 |
transcript.pyannote[156].end |
437.58284375 |
transcript.pyannote[157].speaker |
SPEAKER_02 |
transcript.pyannote[157].start |
437.81909375 |
transcript.pyannote[157].end |
438.15659375 |
transcript.pyannote[158].speaker |
SPEAKER_02 |
transcript.pyannote[158].start |
438.52784375 |
transcript.pyannote[158].end |
438.56159375 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
438.56159375 |
transcript.pyannote[159].end |
445.22721875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
445.39596875 |
transcript.pyannote[160].end |
448.36596875 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
449.07471875 |
transcript.pyannote[161].end |
451.11659375 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
451.36971875 |
transcript.pyannote[162].end |
451.90971875 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
452.06159375 |
transcript.pyannote[163].end |
454.77846875 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
455.57159375 |
transcript.pyannote[164].end |
458.01846875 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
458.47409375 |
transcript.pyannote[165].end |
459.01409375 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
459.09846875 |
transcript.pyannote[166].end |
460.27971875 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
460.71846875 |
transcript.pyannote[167].end |
462.50721875 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
463.63784375 |
transcript.pyannote[168].end |
468.09284375 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
468.76784375 |
transcript.pyannote[169].end |
469.03784375 |
transcript.pyannote[170].speaker |
SPEAKER_02 |
transcript.pyannote[170].start |
469.03784375 |
transcript.pyannote[170].end |
469.18971875 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
469.18971875 |
transcript.pyannote[171].end |
469.32471875 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
469.32471875 |
transcript.pyannote[172].end |
496.76346875 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
469.59471875 |
transcript.pyannote[173].end |
470.57346875 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
478.21784375 |
transcript.pyannote[174].end |
480.39471875 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
480.66471875 |
transcript.pyannote[175].end |
482.80784375 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
497.35409375 |
transcript.pyannote[176].end |
504.18846875 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
504.25596875 |
transcript.pyannote[177].end |
506.34846875 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
508.42409375 |
transcript.pyannote[178].end |
509.45346875 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
511.14096875 |
transcript.pyannote[179].end |
515.14034375 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
515.44409375 |
transcript.pyannote[180].end |
519.22409375 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
519.81471875 |
transcript.pyannote[181].end |
520.21971875 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
522.32909375 |
transcript.pyannote[182].end |
524.32034375 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
525.23159375 |
transcript.pyannote[183].end |
525.92346875 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
527.22284375 |
transcript.pyannote[184].end |
528.57284375 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
529.07909375 |
transcript.pyannote[185].end |
530.29409375 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
531.49221875 |
transcript.pyannote[186].end |
532.89284375 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
534.15846875 |
transcript.pyannote[187].end |
536.48721875 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
537.07784375 |
transcript.pyannote[188].end |
538.37721875 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
538.78221875 |
transcript.pyannote[189].end |
542.08971875 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
542.27534375 |
transcript.pyannote[190].end |
543.64221875 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
543.72659375 |
transcript.pyannote[191].end |
544.78971875 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
545.70096875 |
transcript.pyannote[192].end |
546.27471875 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
546.59534375 |
transcript.pyannote[193].end |
550.30784375 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
551.13471875 |
transcript.pyannote[194].end |
552.70409375 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
553.07534375 |
transcript.pyannote[195].end |
554.39159375 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
554.47596875 |
transcript.pyannote[196].end |
556.61909375 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
557.32784375 |
transcript.pyannote[197].end |
558.00284375 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
558.67784375 |
transcript.pyannote[198].end |
560.26409375 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
560.63534375 |
transcript.pyannote[199].end |
561.15846875 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
561.22596875 |
transcript.pyannote[200].end |
561.71534375 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
561.93471875 |
transcript.pyannote[201].end |
562.50846875 |
transcript.pyannote[202].speaker |
SPEAKER_01 |
transcript.pyannote[202].start |
562.94721875 |
transcript.pyannote[202].end |
565.09034375 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
565.42784375 |
transcript.pyannote[203].end |
566.47409375 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
566.55846875 |
transcript.pyannote[204].end |
567.82409375 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
568.11096875 |
transcript.pyannote[205].end |
569.30909375 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
570.35534375 |
transcript.pyannote[206].end |
572.78534375 |
transcript.pyannote[207].speaker |
SPEAKER_01 |
transcript.pyannote[207].start |
573.07221875 |
transcript.pyannote[207].end |
574.62471875 |
transcript.pyannote[208].speaker |
SPEAKER_01 |
transcript.pyannote[208].start |
575.01284375 |
transcript.pyannote[208].end |
576.46409375 |
transcript.pyannote[209].speaker |
SPEAKER_01 |
transcript.pyannote[209].start |
576.73409375 |
transcript.pyannote[209].end |
579.02909375 |
transcript.pyannote[210].speaker |
SPEAKER_01 |
transcript.pyannote[210].start |
579.23159375 |
transcript.pyannote[210].end |
584.10846875 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
584.29409375 |
transcript.pyannote[211].end |
584.91846875 |
transcript.pyannote[212].speaker |
SPEAKER_02 |
transcript.pyannote[212].start |
586.06596875 |
transcript.pyannote[212].end |
600.52784375 |
transcript.pyannote[213].speaker |
SPEAKER_01 |
transcript.pyannote[213].start |
600.81471875 |
transcript.pyannote[213].end |
601.94534375 |
transcript.pyannote[214].speaker |
SPEAKER_01 |
transcript.pyannote[214].start |
602.21534375 |
transcript.pyannote[214].end |
605.35409375 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
605.67471875 |
transcript.pyannote[215].end |
607.53096875 |
transcript.pyannote[216].speaker |
SPEAKER_01 |
transcript.pyannote[216].start |
609.20159375 |
transcript.pyannote[216].end |
610.72034375 |
transcript.pyannote[217].speaker |
SPEAKER_01 |
transcript.pyannote[217].start |
611.04096875 |
transcript.pyannote[217].end |
611.81721875 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
611.93534375 |
transcript.pyannote[218].end |
613.18409375 |
transcript.pyannote[219].speaker |
SPEAKER_01 |
transcript.pyannote[219].start |
614.09534375 |
transcript.pyannote[219].end |
615.05721875 |
transcript.pyannote[220].speaker |
SPEAKER_01 |
transcript.pyannote[220].start |
615.29346875 |
transcript.pyannote[220].end |
618.51659375 |
transcript.pyannote[221].speaker |
SPEAKER_02 |
transcript.pyannote[221].start |
618.51659375 |
transcript.pyannote[221].end |
618.55034375 |
transcript.pyannote[222].speaker |
SPEAKER_02 |
transcript.pyannote[222].start |
619.05659375 |
transcript.pyannote[222].end |
626.65034375 |
transcript.pyannote[223].speaker |
SPEAKER_01 |
transcript.pyannote[223].start |
626.27909375 |
transcript.pyannote[223].end |
626.56596875 |
transcript.pyannote[224].speaker |
SPEAKER_01 |
transcript.pyannote[224].start |
626.65034375 |
transcript.pyannote[224].end |
626.73471875 |
transcript.pyannote[225].speaker |
SPEAKER_01 |
transcript.pyannote[225].start |
626.97096875 |
transcript.pyannote[225].end |
630.70034375 |
transcript.pyannote[226].speaker |
SPEAKER_02 |
transcript.pyannote[226].start |
630.19409375 |
transcript.pyannote[226].end |
630.73409375 |
transcript.pyannote[227].speaker |
SPEAKER_01 |
transcript.pyannote[227].start |
630.73409375 |
transcript.pyannote[227].end |
630.97034375 |
transcript.pyannote[228].speaker |
SPEAKER_02 |
transcript.pyannote[228].start |
630.97034375 |
transcript.pyannote[228].end |
631.13909375 |
transcript.pyannote[229].speaker |
SPEAKER_01 |
transcript.pyannote[229].start |
631.13909375 |
transcript.pyannote[229].end |
631.15596875 |
transcript.pyannote[230].speaker |
SPEAKER_02 |
transcript.pyannote[230].start |
631.15596875 |
transcript.pyannote[230].end |
631.22346875 |
transcript.pyannote[231].speaker |
SPEAKER_01 |
transcript.pyannote[231].start |
631.22346875 |
transcript.pyannote[231].end |
631.54409375 |
transcript.pyannote[232].speaker |
SPEAKER_02 |
transcript.pyannote[232].start |
631.54409375 |
transcript.pyannote[232].end |
638.66534375 |
transcript.pyannote[233].speaker |
SPEAKER_01 |
transcript.pyannote[233].start |
631.59471875 |
transcript.pyannote[233].end |
633.55221875 |
transcript.pyannote[234].speaker |
SPEAKER_01 |
transcript.pyannote[234].start |
637.31534375 |
transcript.pyannote[234].end |
637.36596875 |
transcript.pyannote[235].speaker |
SPEAKER_01 |
transcript.pyannote[235].start |
637.68659375 |
transcript.pyannote[235].end |
637.97346875 |
transcript.pyannote[236].speaker |
SPEAKER_01 |
transcript.pyannote[236].start |
638.66534375 |
transcript.pyannote[236].end |
639.96471875 |
transcript.pyannote[237].speaker |
SPEAKER_02 |
transcript.pyannote[237].start |
639.96471875 |
transcript.pyannote[237].end |
660.68721875 |
transcript.pyannote[238].speaker |
SPEAKER_00 |
transcript.pyannote[238].start |
644.14971875 |
transcript.pyannote[238].end |
645.14534375 |
transcript.pyannote[239].speaker |
SPEAKER_00 |
transcript.pyannote[239].start |
646.32659375 |
transcript.pyannote[239].end |
647.17034375 |
transcript.pyannote[240].speaker |
SPEAKER_00 |
transcript.pyannote[240].start |
648.57096875 |
transcript.pyannote[240].end |
649.02659375 |
transcript.pyannote[241].speaker |
SPEAKER_01 |
transcript.pyannote[241].start |
649.02659375 |
transcript.pyannote[241].end |
649.97159375 |
transcript.pyannote[242].speaker |
SPEAKER_00 |
transcript.pyannote[242].start |
649.97159375 |
transcript.pyannote[242].end |
650.12346875 |
transcript.pyannote[243].speaker |
SPEAKER_01 |
transcript.pyannote[243].start |
658.61159375 |
transcript.pyannote[243].end |
660.77159375 |
transcript.pyannote[244].speaker |
SPEAKER_02 |
transcript.pyannote[244].start |
660.77159375 |
transcript.pyannote[244].end |
660.80534375 |
transcript.pyannote[245].speaker |
SPEAKER_01 |
transcript.pyannote[245].start |
660.80534375 |
transcript.pyannote[245].end |
664.87221875 |
transcript.pyannote[246].speaker |
SPEAKER_01 |
transcript.pyannote[246].start |
665.12534375 |
transcript.pyannote[246].end |
671.47034375 |
transcript.pyannote[247].speaker |
SPEAKER_01 |
transcript.pyannote[247].start |
672.29721875 |
transcript.pyannote[247].end |
672.55034375 |
transcript.pyannote[248].speaker |
SPEAKER_01 |
transcript.pyannote[248].start |
673.03971875 |
transcript.pyannote[248].end |
673.83284375 |
transcript.pyannote[249].speaker |
SPEAKER_01 |
transcript.pyannote[249].start |
674.20409375 |
transcript.pyannote[249].end |
677.19096875 |
transcript.pyannote[250].speaker |
SPEAKER_01 |
transcript.pyannote[250].start |
677.46096875 |
transcript.pyannote[250].end |
679.51971875 |
transcript.pyannote[251].speaker |
SPEAKER_01 |
transcript.pyannote[251].start |
679.87409375 |
transcript.pyannote[251].end |
680.97096875 |
transcript.pyannote[252].speaker |
SPEAKER_01 |
transcript.pyannote[252].start |
681.40971875 |
transcript.pyannote[252].end |
683.48534375 |
transcript.pyannote[253].speaker |
SPEAKER_01 |
transcript.pyannote[253].start |
683.67096875 |
transcript.pyannote[253].end |
688.51409375 |
transcript.pyannote[254].speaker |
SPEAKER_02 |
transcript.pyannote[254].start |
688.93596875 |
transcript.pyannote[254].end |
709.92846875 |
transcript.pyannote[255].speaker |
SPEAKER_01 |
transcript.pyannote[255].start |
707.02596875 |
transcript.pyannote[255].end |
718.23096875 |
transcript.pyannote[256].speaker |
SPEAKER_00 |
transcript.pyannote[256].start |
717.94409375 |
transcript.pyannote[256].end |
719.19284375 |
transcript.pyannote[257].speaker |
SPEAKER_01 |
transcript.pyannote[257].start |
718.80471875 |
transcript.pyannote[257].end |
720.03659375 |
transcript.pyannote[258].speaker |
SPEAKER_01 |
transcript.pyannote[258].start |
721.58909375 |
transcript.pyannote[258].end |
723.63096875 |
transcript.pyannote[259].speaker |
SPEAKER_01 |
transcript.pyannote[259].start |
723.69846875 |
transcript.pyannote[259].end |
724.12034375 |
transcript.pyannote[260].speaker |
SPEAKER_01 |
transcript.pyannote[260].start |
724.42409375 |
transcript.pyannote[260].end |
725.28471875 |
transcript.pyannote[261].speaker |
SPEAKER_01 |
transcript.pyannote[261].start |
725.79096875 |
transcript.pyannote[261].end |
726.31409375 |
transcript.pyannote[262].speaker |
SPEAKER_01 |
transcript.pyannote[262].start |
727.57971875 |
transcript.pyannote[262].end |
729.41909375 |
transcript.pyannote[263].speaker |
SPEAKER_01 |
transcript.pyannote[263].start |
729.50346875 |
transcript.pyannote[263].end |
730.21221875 |
transcript.pyannote[264].speaker |
SPEAKER_01 |
transcript.pyannote[264].start |
730.48221875 |
transcript.pyannote[264].end |
732.11909375 |
transcript.pyannote[265].speaker |
SPEAKER_01 |
transcript.pyannote[265].start |
733.04721875 |
transcript.pyannote[265].end |
734.70096875 |
transcript.pyannote[266].speaker |
SPEAKER_01 |
transcript.pyannote[266].start |
735.29159375 |
transcript.pyannote[266].end |
736.57409375 |
transcript.pyannote[267].speaker |
SPEAKER_01 |
transcript.pyannote[267].start |
736.89471875 |
transcript.pyannote[267].end |
738.26159375 |
transcript.pyannote[268].speaker |
SPEAKER_00 |
transcript.pyannote[268].start |
739.10534375 |
transcript.pyannote[268].end |
757.60034375 |
transcript.pyannote[269].speaker |
SPEAKER_00 |
transcript.pyannote[269].start |
758.39346875 |
transcript.pyannote[269].end |
758.98409375 |
transcript.pyannote[270].speaker |
SPEAKER_01 |
transcript.pyannote[270].start |
758.98409375 |
transcript.pyannote[270].end |
759.03471875 |
transcript.pyannote[271].speaker |
SPEAKER_00 |
transcript.pyannote[271].start |
759.03471875 |
transcript.pyannote[271].end |
765.09284375 |
transcript.pyannote[272].speaker |
SPEAKER_01 |
transcript.pyannote[272].start |
763.32096875 |
transcript.pyannote[272].end |
763.99596875 |
transcript.pyannote[273].speaker |
SPEAKER_02 |
transcript.pyannote[273].start |
763.99596875 |
transcript.pyannote[273].end |
764.02971875 |
transcript.pyannote[274].speaker |
SPEAKER_01 |
transcript.pyannote[274].start |
764.02971875 |
transcript.pyannote[274].end |
764.97471875 |
transcript.pyannote[275].speaker |
SPEAKER_02 |
transcript.pyannote[275].start |
764.97471875 |
transcript.pyannote[275].end |
765.02534375 |
transcript.pyannote[276].speaker |
SPEAKER_01 |
transcript.pyannote[276].start |
765.02534375 |
transcript.pyannote[276].end |
765.32909375 |
transcript.pyannote[277].speaker |
SPEAKER_02 |
transcript.pyannote[277].start |
765.09284375 |
transcript.pyannote[277].end |
765.17721875 |
transcript.pyannote[278].speaker |
SPEAKER_01 |
transcript.pyannote[278].start |
765.68346875 |
transcript.pyannote[278].end |
765.73409375 |
transcript.pyannote[279].speaker |
SPEAKER_02 |
transcript.pyannote[279].start |
765.73409375 |
transcript.pyannote[279].end |
765.76784375 |
transcript.pyannote[280].speaker |
SPEAKER_01 |
transcript.pyannote[280].start |
765.76784375 |
transcript.pyannote[280].end |
765.78471875 |
transcript.pyannote[281].speaker |
SPEAKER_02 |
transcript.pyannote[281].start |
765.78471875 |
transcript.pyannote[281].end |
765.81846875 |
transcript.pyannote[282].speaker |
SPEAKER_01 |
transcript.pyannote[282].start |
765.81846875 |
transcript.pyannote[282].end |
766.03784375 |
transcript.pyannote[283].speaker |
SPEAKER_02 |
transcript.pyannote[283].start |
766.03784375 |
transcript.pyannote[283].end |
805.76159375 |
transcript.pyannote[284].speaker |
SPEAKER_01 |
transcript.pyannote[284].start |
804.74909375 |
transcript.pyannote[284].end |
805.84596875 |
transcript.pyannote[285].speaker |
SPEAKER_02 |
transcript.pyannote[285].start |
806.14971875 |
transcript.pyannote[285].end |
807.16221875 |
transcript.pyannote[286].speaker |
SPEAKER_01 |
transcript.pyannote[286].start |
806.77409375 |
transcript.pyannote[286].end |
806.90909375 |
transcript.pyannote[287].speaker |
SPEAKER_02 |
transcript.pyannote[287].start |
807.63471875 |
transcript.pyannote[287].end |
810.38534375 |
transcript.pyannote[288].speaker |
SPEAKER_01 |
transcript.pyannote[288].start |
807.73596875 |
transcript.pyannote[288].end |
807.92159375 |
transcript.pyannote[289].speaker |
SPEAKER_01 |
transcript.pyannote[289].start |
807.97221875 |
transcript.pyannote[289].end |
808.42784375 |
transcript.pyannote[290].speaker |
SPEAKER_00 |
transcript.pyannote[290].start |
811.81971875 |
transcript.pyannote[290].end |
812.83221875 |
transcript.pyannote[291].speaker |
SPEAKER_00 |
transcript.pyannote[291].start |
815.97096875 |
transcript.pyannote[291].end |
817.08471875 |
transcript.pyannote[292].speaker |
SPEAKER_00 |
transcript.pyannote[292].start |
817.38846875 |
transcript.pyannote[292].end |
818.85659375 |
transcript.whisperx[0].start |
2.21 |
transcript.whisperx[0].end |
25.625 |
transcript.whisperx[0].text |
我請財政部的莊部長請莊部長旁邊官務署的啦還有國庫署的幫忙可以到旁邊去請各位署長就位謝謝委員好部長早安剛才你回答領導委員的一些說明我想再請教你一下 |
transcript.whisperx[1].start |
27.369 |
transcript.whisperx[1].end |
51.048 |
transcript.whisperx[1].text |
你有沒有收到我現在放出來這張文外交部給你們的函有沒有收到3月15號發的有沒有收到這件公文是給我們的國庫署還有他們都有收到都收到了你們什麼時候回文給外交部回文給外交部的部分是由我們國庫署回文什麼時候回的 |
transcript.whisperx[2].start |
53.514 |
transcript.whisperx[2].end |
55.637 |
transcript.whisperx[2].text |
我們是也在3月15號回答 |
transcript.whisperx[3].start |
68.693 |
transcript.whisperx[3].end |
69.635 |
transcript.whisperx[3].text |
免負菸酒競口業許可執照 |
transcript.whisperx[4].start |
86.597 |
transcript.whisperx[4].end |
99.447 |
transcript.whisperx[4].text |
就是 因為他是大使大使回國以後有一個相關的處理辦法第二個免辦理進口酒類衛生草案老實講 |
transcript.whisperx[5].start |
103.188 |
transcript.whisperx[5].end |
111.015 |
transcript.whisperx[5].text |
老實講 部長啊 你聽清楚喔這是外交部啊 幫你們訂的啊憑什麼外交部就是說 欸 這個駐外的大使回來他帶的酒 你們就可以免辦進口酒類衛生產業我知道你們是根據這個辦法 但這個辦法是外交部訂的財政部為什麼就變成是他的下屬單位呢 |
transcript.whisperx[6].start |
128.509 |
transcript.whisperx[6].end |
145.601 |
transcript.whisperx[6].text |
委員報告跟委員報告不是只有大使是政府派駐到國外的人的政府官員他回國的時候奉調回國的時候所攜帶的自用物品所以這個地方很重要一個就是自用的物品也不是只有大使而且這裡面我們要審核的就是說他是否去自用那而且數量要還合理的情況 |
transcript.whisperx[7].start |
158.93 |
transcript.whisperx[7].end |
179.408 |
transcript.whisperx[7].text |
你們說因為他這個外交部框在那裡所以不管是不是大使只要從外面回來的政府的官員他的自用所以都不必要有進口業的一個許可執照比如說進來一個貨櫃算不算呢?我要很會喝我進口一個貨櫃可以嗎?是值得 |
transcript.whisperx[8].start |
181.189 |
transcript.whisperx[8].end |
198.406 |
transcript.whisperx[8].text |
第一個以這個數量來看您覺得他符合自用嗎?當然是不符合所以這個案子外交部他也附了相關的一個清單給我們看只有只是15公升嘛對不對23坪超過15公升啦超過5公升超過1公升啦 |
transcript.whisperx[9].start |
204.432 |
transcript.whisperx[9].end |
220.636 |
transcript.whisperx[9].text |
是!超過一公升課稅是一定要課的!一定要課!不因為他是住外人員回來所以關稅、營業稅跟菸酒稅依然要課只是不需要你們是因為昨天下午整個新聞炒熱起來你們才說是要課稅原來他們就希望外界不希望你便利放行他只是沒有講我們都了解財政部過去對於這些 |
transcript.whisperx[10].start |
231.338 |
transcript.whisperx[10].end |
257.194 |
transcript.whisperx[10].text |
這些駐外人員回來不管是不是大使基本上都是沒有在檢查的啦有啦通關還是通關的程序依然要做的特別是我特別強調特別是根本就沒有在課稅啦有在課稅有嗎有那剩幾個數字出來給我只要超過一公升都要課稅而且通關的程序依然是要經過一定的海關要查驗海關要查驗這一批貨現在到了沒有還沒還沒還沒還沒有到啊 |
transcript.whisperx[11].start |
261.116 |
transcript.whisperx[11].end |
268.522 |
transcript.whisperx[11].text |
各位你就知道3月15號他給你公文你馬上回你看因為蕭美琪馬上要當你的長官啊這個東西啊這個啊不小心被企業搶我告訴你們這個叫財政部與外交部爭相拍馬屁就這樣子 |
transcript.whisperx[12].start |
282.612 |
transcript.whisperx[12].end |
286.636 |
transcript.whisperx[12].text |
昨天媒體討論你們還罵媒體咧 你們財政部的法律組長叫呂智慧 |
transcript.whisperx[13].start |
301.531 |
transcript.whisperx[13].end |
302.834 |
transcript.whisperx[13].text |
財政部真有說瞎話欸有關媒體報導前祝美國蕭大使美琴戴19進口要求免查驗並非事實啊你剛才回到剛剛那一頁 |
transcript.whisperx[14].start |
316.75 |
transcript.whisperx[14].end |
319.093 |
transcript.whisperx[14].text |
這一頁已經有講了,上面就是寫你免查驗你就同意了啊你剛剛講的同意了啊怎麼來看第二頁?怎麼你會發這個修文稿呢?並非事實!並非事實!為什麼不是事實呢?前面就在秀在那裡,怎麼不是事實? |
transcript.whisperx[15].start |
334.87 |
transcript.whisperx[15].end |
362.005 |
transcript.whisperx[15].text |
所以也要課然後呢只是說他在那個衛生因為他是自用所以進口酒類的衛生茶葉他依照相關的規定所以不需要茶葉我覺得這個部分要把他講清楚而不是說用 並不是用偷取的方式財政部睜眼說瞎話你再回到剛剛那一張明明外交部的裡面的把重點出來就是兩大重點免付菸酒進口業許可執照 |
transcript.whisperx[16].start |
363.348 |
transcript.whisperx[16].end |
389.525 |
transcript.whisperx[16].text |
免辦理這個衛生查驗就免查驗來再回過來結果你們發文說媒體報導這個蕭美琴進口的要求免查驗阿就免查驗了阿你是依法就免查驗了阿對不對只是後來你補一個說要課稅他還沒有談到稅你們公文文化沒有談到稅的問題只讓你們有一個站在註腳的地方 |
transcript.whisperx[17].start |
390.886 |
transcript.whisperx[17].end |
402.639 |
transcript.whisperx[17].text |
對,本來我就昨天有媒體問我,我就跟他說要看超過有沒有課稅,財政部一直沒有講,一直等到昨天很晚才講,到晚上才發新聞稿啊,我都追蹤這個題目啊,對不對?早就可以講了啊,在中午就可以講,一直到晚上才講。 |
transcript.whisperx[18].start |
410.528 |
transcript.whisperx[18].end |
437.056 |
transcript.whisperx[18].text |
到我上次講你們時間拖很久所以我就是...所以...我們內部需要了解整個案子是怎樣啊我需要了解啊奇怪啊3月15號給你文你馬上就可以回啊哪怕人家媒體在問你的時候就要整個...這個東西這麼簡單的事情超過一公寸可是你講到這...閉嘴這話你不敢講啊你看看沒有我不敢講啊我們在新聞稿裡面一定說明講得太晚啦 |
transcript.whisperx[19].start |
439.176 |
transcript.whisperx[19].end |
461.161 |
transcript.whisperx[19].text |
而且海賊還說並非事實還罵媒體喔我就覺得很奇怪啊正面說瞎話你再回到剛剛那一張部長你看清楚喔這個我們外交部給你就是不要進口業的菸酒進口業需求執照不要做衛生產業酒類第三願利放行分過來結果你們 |
transcript.whisperx[20].start |
464.349 |
transcript.whisperx[20].end |
486.254 |
transcript.whisperx[20].text |
還罵媒體說這個並不是事實,這就是事實。你怎麼這樣講啊?我覺得跟委員報告,這個查驗齁,那因為一開始的時候是講說什麼特權啦、什麼私隱案,這個查驗...那你開講特權不是事實啊!對不對?查驗就真的是事實啊!不是事實,然後查驗的部分,海關的查驗是一定要做的。 |
transcript.whisperx[21].start |
486.954 |
transcript.whisperx[21].end |
490.077 |
transcript.whisperx[21].text |
這句話你這句話很不好啦這句話感覺就是森香拍馬屁啊真的有說瞎話來第二個我回到今天的題目喔娛樂稅 |
transcript.whisperx[22].start |
511.195 |
transcript.whisperx[22].end |
520.14 |
transcript.whisperx[22].text |
所以我覺得莊部長當然你連任部長了其實你不用那麼擔心啦短時間不會被換掉啦不必爭相攀耳壁啦這個娛樂稅每年課不到21老實講主席提出的訴求是有他一定的道理你知道基層正本多少 |
transcript.whisperx[23].start |
534.206 |
transcript.whisperx[23].end |
539.412 |
transcript.whisperx[23].text |
立法院第11屆第1會期財政委員會第11屆第2會期財政委員會第3會期財政委員會 |
transcript.whisperx[24].start |
551.195 |
transcript.whisperx[24].end |
565.66 |
transcript.whisperx[24].text |
其他的縣市都要克啊他們都要專門人在服事這個所以老實講主席主張的廢除沒什麼不對啊但是地方財源啊地方需要錢啊這個20億不到19億左右財政部補貼 |
transcript.whisperx[25].start |
570.823 |
transcript.whisperx[25].end |
584.664 |
transcript.whisperx[25].text |
專款補貼不可能統中被涉款財政部專款給19億然後呢這個就是給地方政府這個娛樂稅我相信每一個地方政府都鼓掌說專補掌英明你覺得怎麼樣 |
transcript.whisperx[26].start |
586.107 |
transcript.whisperx[26].end |
603.157 |
transcript.whisperx[26].text |
委員對於這個是不是廢紙財政部有邀請過地方政府來開會那地方政府其實基本上他們基於財政自主他們基於財政自主而且對鄉鎮來說是個非常重要的財源所以他們並不贊成廢紙那是你說的喔我問了幾家現在今天有來的好幾位的長官他們都說我都主張他們不再贊成捏他們都廢掉但這個錢財政部出 |
transcript.whisperx[27].start |
614.287 |
transcript.whisperx[27].end |
642.214 |
transcript.whisperx[27].text |
財政部出這個錢19億你怎麼出不起呢請問你一年稅收有多少當然我們的稅收中央的稅收是有我們的整體稅收大概是以兩兆多兩兆多啊那你就負擔負擔19億那沒啥利是不是我覺得對地方政府來說他們還是需要財政財政的自主權還是需要他們在他們自己身上或者另外學者要講啊不然就是讓地方自己去立這個法你這個法不要管了 |
transcript.whisperx[28].start |
643.034 |
transcript.whisperx[28].end |
671.202 |
transcript.whisperx[28].text |
當然我們也考慮到一個地方政府可以﹖他自己課啊!一個稅率本身﹖他可以課高可以課低啊!他們自己可以訂稅率然後這一項目的部分我們如果說我們也可以賦予地方政府來做他自己做彈性的一個﹖我覺得不僅僅是娛樂稅了很多稅都應該啊讓地方能夠自主盡量自主吧不要管人家管錢然後現在來講那個財劃法你們又抓在手上 |
transcript.whisperx[29].start |
673.333 |
transcript.whisperx[29].end |
684.805 |
transcript.whisperx[29].text |
請問你部長你知不知道有一個人叫李素腿你聽過吧當然是我們前部長是啦是啦他在任內啊割了一塊漏960萬億要給地方政府採劃法請問你準備要割多少給地方政府 |
transcript.whisperx[30].start |
689.552 |
transcript.whisperx[30].end |
707.531 |
transcript.whisperx[30].text |
我跟委員報告地方政府的有關財法法的部分涉及到分配的問題也就是說未來地方政府怎麼去分配這個中央統籌分配稅款所以這個部分我們也已經跟地方政府洽詢過相關的分配的指標那因為目前來說還是推了其實我們要的是垂直 |
transcript.whisperx[31].start |
710.214 |
transcript.whisperx[31].end |
735.716 |
transcript.whisperx[31].text |
你要挖一塊給地方政府地方政府去分好不好這個我們再找時間談那個最後一個請那個黃主委一起來好不好我們兩位很簡單的一個小題目2021年到2018年那個莊部長還在喔部長還在華南銀行洗錢案被控然後最近才判決罰了在香港分堂喔罰了3600萬來今晚問你態度怎麼樣 |
transcript.whisperx[32].start |
739.261 |
transcript.whisperx[32].end |
757.47 |
transcript.whisperx[32].text |
這案子我們全程都有掌握,包括因為他不是真正有犯洗錢,而是說在洗錢防治的程序上對於警示的帳戶他沒有做到金管局要求的處理的程序這個部分而且都已經有委外找顧問公司去改善了。 |
transcript.whisperx[33].start |
758.427 |
transcript.whisperx[33].end |
779.475 |
transcript.whisperx[33].text |
所以是法尊的問題吧?是法尊的問題,不是真正有commit的那個Anti-Poliglante的問題。好,那個,總部長,華南銀行是你管的,你要不要講兩句?這個事情我們都知道,因為華南銀行都跟我們說了,那這個部分事實上是107年以前的事情,而且是華南銀行的香港分行主動跟香港的金管局去 |
transcript.whisperx[34].start |
779.735 |
transcript.whisperx[34].end |
780.335 |
transcript.whisperx[34].text |
好不好你們兩位要加強了齁 |
transcript.whisperx[35].start |
808.001 |
transcript.whisperx[35].end |
818.577 |
transcript.whisperx[35].text |
那他們也都做了非常大的改善,謝謝好,謝謝,請回下一位質詢請王世堅、王委員 |