IVOD_ID |
153369 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/153369 |
日期 |
2024-05-30 |
會議資料.會議代碼 |
委員會-11-1-20-15 |
會議資料.會議代碼:str |
第11屆第1會期財政委員會第15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 |
15 |
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15次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-05-30T09:40:52+08:00 |
結束時間 |
2024-05-30T09:55:24+08:00 |
影片長度 |
00:14:32 |
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/bbbc431469b8aebaa6532beafb738e8f4622ddde1e3527b9446d6a815e913744be25a03cfd7880e45ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
賴士葆 |
委員發言時間 |
09:40:52 - 09:55:24 |
會議時間 |
2024-05-30T09:00:00+08:00 |
會議名稱 |
立法院第11屆第1會期財政委員會第15次全體委員會議(事由:邀請財政部莊部長翠雲、金融監督管理委員會彭主任委員金隆率所屬相關單位就「如何精進ESG制度評鑑、永續報告書及公司治理評鑑制度,並導引金融機構落實放貸及貸後管理工作」進行專題報告,並備質詢。) |
gazette.lineno |
193 |
gazette.blocks[0][0] |
賴委員士葆:(9時40分)主席以及各位先進,有請金管會彭主委以及證交所簡總經理。 |
gazette.blocks[1][0] |
主席:有請彭主委、簡總。 |
gazette.blocks[2][0] |
彭主任委員金隆:委員好。 |
gazette.blocks[3][0] |
賴委員士葆:兩位長官好。最近這一陣子立法院推動國會改革五法跑出來一個王義川事件,王義川不是路人甲、路人乙,他是執政黨民進黨的政策會執行長,他在節目裡面公開講幾月幾號來的人和5月19日、太陽花的人是不一樣的,這就牽涉到手機IP定位的問題。根據個資法,個資法第二條第一款規定得很清楚,手機的定位資訊屬於個資,我這張圖片裡面有一台中華電信的車,它5月17日就開進來了,5月21日也進來,5月24日也進來,5月28日也進來,每天都進來,就在我們青島會館的對面,拍得很方便,我們就拍了、看到了。 |
gazette.blocks[3][1] |
昨天在立法院詢答的時候,國安局撇得清清的,它都沒有介入,內政部說它都不知道,法務部說要查辦了,問題是民進黨的公職人員在電視臺上講了,這個資料是中華電信提供的。我們就要問了,現在已經鬧得沸沸揚揚,媒體吵了幾天,這麼大的事情,請問中華電信有沒有針對這件事情發布重訊?有沒有?沒有啊!那你做什麼的?主委,盯一下交易所,可不可以馬上叫它發?簡總經理,可以嗎? |
gazette.blocks[4][0] |
簡總經理立忠:跟委員報告,我們的重訊一定是發生這個事件對公司…… |
gazette.blocks[5][0] |
賴委員士葆:已經發生了,它已經發生了!它把個資洩漏給民進黨的政策會執行長,已經發生了、已經發生了,這難道不是很大的事情嗎?這是醜聞,這等於是臺灣版的水門事件! |
gazette.blocks[6][0] |
簡總經理立忠:向委員說明,上市公司…… |
gazette.blocks[7][0] |
賴委員士葆:你不要跟我講一堆啦!我的時間有限,你就告訴我,這個事件它該不該發重訊,請問你該不該發? |
gazette.blocks[8][0] |
簡總經理立忠:委員,我覺得應該是要由管理相關法規的部門確定它違反規定了,確定違反規定…… |
gazette.blocks[9][0] |
賴委員士葆:法務部正在偵查這個事情,這個事情還不嚴重啊?就是查中華電信。 |
gazette.blocks[10][0] |
簡總經理立忠:現在沒有確定它有沒有違反。 |
gazette.blocks[11][0] |
賴委員士葆:我昨天上節目,還有一個民進黨公職人員把中中華電信拿出來,就是中華電信給的資料,我親自看到他做了一個手板,中華電信給的這些資料都可以分析到IP,每一個人怎麼樣,男的、女的,因為你的手機就有IP,這是中華電信給的,司法單位已經在查了,它不應該發布重訊嗎?主委,你說一下,怎麼你們的人都沒有肩膀啊! |
gazette.blocks[12][0] |
彭主任委員金隆:這個是不是符合現行規定發布重訊的標準,交易所或是副局長可不可以說明一下現在發重訊的標準是什麼? |
gazette.blocks[13][0] |
賴委員士葆:快一點!我的時間有限。 |
gazette.blocks[14][0] |
高副局長晶萍:原則上對上市櫃公司,最近有新聞媒體報導,我們是不是請他們做澄清…… |
gazette.blocks[15][0] |
賴委員士葆:新聞每天都在報,你們沒有看喔! |
gazette.blocks[16][0] |
高副局長晶萍:另外一個,委員有提到它是不是符合重訊標準,交易所應該會請這兩家公司做說明,然後評估是不是要依照規定發重訊。 |
gazette.blocks[17][0] |
賴委員士葆:所以你們不敢要求他們發喔!這會影響到股價、影響到股東權益喔!大家原來發現說,我是中華電信的,原來我的個資毫無保護啊,我的個資隨時都被洩漏啊,不敢買啊!這會影響到交易,怎麼會沒有呢?這麼大的事情,中華電信是怎麼樣?財大氣粗喔!新聞已經上了幾天了,今天平面媒體還用這麼大的版面在做這個題目,它對外也沒有發新聞稿,在這裡已經雞飛狗跳了,昨天國安局、內政部、法務部相關的首長都講話了,中華電信愛理不理,ESG可以做這麼差喔?主委,你們要不要處理一下? |
gazette.blocks[18][0] |
彭主任委員金隆:我們來釐清一下,是不是符合我們要發重訊的規範,我們請交易所儘速釐清一下。 |
gazette.blocks[19][0] |
賴委員士葆:什麼時候可以進行?今天可以嗎?今天馬上打電話處理,好不好? |
gazette.blocks[20][0] |
簡總經理立忠:委員,先請中華電信跟我們說明這是不是符合他們處理個資的程序…… |
gazette.blocks[21][0] |
賴委員士葆:今天可以請他們說明吧? |
gazette.blocks[22][0] |
簡總經理立忠:我們會先瞭解…… |
gazette.blocks[23][0] |
賴委員士葆:好歹中華電信要發個新聞稿吧!人家都點名中華電信,我在這裡點名中華電信,它可以不發新聞稿嗎?昨天跟我一起上節目的民進黨公職人員拿板子給我看了,中華電信就是這樣!男的都有什麼、女的有什麼等等,像這樣的東西,就代表中華電信洩漏個資啊!這是違反個資法。 |
gazette.blocks[24][0] |
彭主任委員金隆:對這個議題,我們現在會請交易所儘速跟他們釐清,這個是不是…… |
gazette.blocks[25][0] |
賴委員士葆:好不好?今天處理嘛,好不好? |
gazette.blocks[26][0] |
彭主任委員金隆:沒有,我想儘速來釐清啦,謝謝。 |
gazette.blocks[27][0] |
賴委員士葆:最少要求它因應這件事情發新聞稿,到底王義川是說真的還是說假的,是亂講一通,還是真的中華電信犯法、洩漏個資,有多少客戶?幾百萬、千萬個個資?講清楚啊!你今天處理可以吧? |
gazette.blocks[28][0] |
彭主任委員金隆:我們會請交易所儘速處理,謝謝。 |
gazette.blocks[29][0] |
賴委員士葆:好。我再請教,今天談ESG,主席安排這個題目談得很好,時間請暫停一下,請8家的官股董事一起上來,好不好?還有財政部長、董事長,時間稍微停一下。 |
gazette.blocks[30][0] |
主席:有請公股銀行8位董事長。 |
gazette.blocks[31][0] |
賴委員士葆:我看到今天的題目,我們的主席用心良苦啊!ESG隱含有這個意思,ESG做得好,貸款條件應該會好一點,是這個意思吧!就是有這個味道。請問8家董事長,你們的放款條件有沒有針對ESG排行前面幾家的客戶給它特別優惠,比如說利率降個半碼,有沒有?有的請舉手?有沒有舉手的嗎?8家都有喔!減半碼的請舉手?部長,我要聽他們說,或者是…… |
gazette.blocks[32][0] |
莊部長翠雲:委員,是不是讓我們公股銀行…… |
gazette.blocks[33][0] |
賴委員士葆:請雷董事長來代表,好不好?你是銀行公會理事長。 |
gazette.blocks[34][0] |
雷董事長仲達:沒有減那麼多啦!大概兩、三個基本點,即0.03%。 |
gazette.blocks[35][0] |
賴委員士葆:萬分之三,是不是?兩、三個基本點…… |
gazette.blocks[36][0] |
雷董事長仲達:0.03%。 |
gazette.blocks[37][0] |
賴委員士葆:就是萬分之三嘛? |
gazette.blocks[38][0] |
雷董事長仲達:對、對! |
gazette.blocks[39][0] |
賴委員士葆:是千分之三,還是萬分之三? |
gazette.blocks[40][0] |
雷董事長仲達:對,萬分之三,沒錯。 |
gazette.blocks[41][0] |
賴委員士葆:千分之三? |
gazette.blocks[42][0] |
雷董事長仲達:萬分之三。 |
gazette.blocks[43][0] |
賴委員士葆:0.003。 |
gazette.blocks[44][0] |
雷董事長仲達:對! |
gazette.blocks[45][0] |
賴委員士葆:很少欸。 |
gazette.blocks[46][0] |
雷董事長仲達:是0.03啦。 |
gazette.blocks[47][0] |
賴委員士葆:所以這樣不高嘛!請主委一起來,好不好?8家董事長可以請回。8家董事長告訴我們跟ESG都有掛勾,但是僅一點點啦,主委,我就是要告訴你,還有其他的董事長聽好,你們ESG發的ETF有9檔,對吧?確定一下,沒關係。 |
gazette.blocks[48][0] |
彭主任委員金隆:我們確認一下。 |
gazette.blocks[49][0] |
賴委員士葆:不熱啊!不熱啊!沒有incentive,主席這個題目排得好,要incentive,只減萬分之三這麼少,毫無incentive啊!可不可以請部長incentive double一下啊?對不對?好歹也要到千分之一吧,萬分之二、萬分之三,太少啦!難怪人家不理啊!做得再好,沒用啊!部長,你同意吧?可不可以再好一點? |
gazette.blocks[50][0] |
莊部長翠雲:我想這個部分,銀行本身的經營也是很重要的,相關經營的策略,我們應該要重視。 |
gazette.blocks[51][0] |
賴委員士葆:政府的政策也很重要啦! |
gazette.blocks[52][0] |
莊部長翠雲:要尊重公司治理,至於對於ESG因子放到我們的貸款客戶裡面,進行相關的審核,我覺得放進去是好的,至於在利率上的一些調整,我們還是要尊重公司治理。 |
gazette.blocks[53][0] |
賴委員士葆:好,請兩位都聽好喔。對土銀要誇獎一下,因為ESG談到減碳的問題,它投入碳權的市場,在南港分行有一個高效率冰水主機計畫,預估10年減少110萬公噸的碳排,其他公股要不要比照?請舉手一下,好不好?要不要比照?比照一下好不好?其他公股銀行董事長,土銀做得不錯啊!這個要表揚土銀,雷董事長要舉手嗎? |
gazette.blocks[54][0] |
雷董事長仲達:是冷氣的,還是…… |
gazette.blocks[55][0] |
賴委員士葆:不一定冷氣啦,就是減碳的活動,你們…… |
gazette.blocks[56][0] |
雷董事長仲達:我們來研議,好不好? |
gazette.blocks[57][0] |
賴委員士葆:對啦,大家一起來努力,好不好?減碳很重要啦!一起來減碳。 |
gazette.blocks[57][1] |
我最後一個小題目,兩位長官都聽好,都有關係。請問部長知道冷錢包嗎?部長知不知道冷錢包? |
gazette.blocks[58][0] |
莊部長翠雲:我還沒聽過。 |
gazette.blocks[59][0] |
賴委員士葆:不知道?當然有,冷錢包,就有熱錢包啊! |
gazette.blocks[60][0] |
莊部長翠雲:對啊。 |
gazette.blocks[61][0] |
賴委員士葆:熱錢包就是我的pocket、我的purse。冷錢包是什麼?虛擬資產的。主委,請你解釋一下,什麼叫冷錢包? |
gazette.blocks[62][0] |
彭主任委員金隆:據我所知,冷錢包就是我們現在虛擬資產上面,我們可以…… |
gazette.blocks[63][0] |
賴委員士葆:大聲一點,好不好? |
gazette.blocks[64][0] |
彭主任委員金隆:就是可以接收虛擬資產的帳戶。 |
gazette.blocks[65][0] |
賴委員士葆:虛擬資產加起來就是冷錢包,在5月17號你們有公布一個VASP的作業系統,就是針對冷錢包類似管理的一個辦法,薩爾瓦多都把虛擬貨幣當國幣,虛擬貨幣如果帶進來,可以放在USB裡面,任何的形式一點點、一點點,你根本查都查不到,變成一個洗錢的工具。現在美國捐給我們全臺灣第一隻的電子產品偵測犬,能夠嗅出冷錢包,部長知道這件事嗎?莊部長知道嗎? |
gazette.blocks[66][0] |
莊部長翠雲:是,知道。 |
gazette.blocks[67][0] |
賴委員士葆:他送給我們一隻,這個當然不是送給你,是送給警政署的。關務署等一下可以講話,我們有沒有這一隻犬? |
gazette.blocks[68][0] |
彭署長英偉:我們現在是沒有。 |
gazette.blocks[69][0] |
賴委員士葆:沒有,要不要買?這個走私、洗錢的…… |
gazette.blocks[70][0] |
彭署長英偉:我們有犬訓中心,我們有犬隻的來源,我們會自己訓練。 |
gazette.blocks[71][0] |
賴委員士葆:你們的犬沒辦法嗅到這個,這個是很unique。主委,你覺得我們需不需要引進這樣一隻能嗅到冷錢包的犬,要不要? |
gazette.blocks[72][0] |
彭主任委員金隆:我想我們站在制度的建立,任何有助於防範犯罪、健全市場,我們都可以來考慮。 |
gazette.blocks[73][0] |
賴委員士葆:部長,我再跟你提醒啦!即使是海關,特別是金管會,你管的虛擬貨幣最怕的是洗錢。 |
gazette.blocks[74][0] |
莊部長翠雲:對。 |
gazette.blocks[75][0] |
賴委員士葆:怕洗錢,這個就很容易洗錢,一個小小的USB,你怎麼知道是那個呢?不可能全身搜,USB就是冷錢包,有這樣的犬,有沒有送我們一隻?部長,去打聽一下,可以嗎? |
gazette.blocks[76][0] |
莊部長翠雲:謝謝委員的提示,我們再去進一步地瞭解,看看有沒有相關的法規來做。 |
gazette.blocks[77][0] |
賴委員士葆:儘快喔!你跟警政署聯絡一下、問一下這種偵測犬,或者跟美國要一隻給你們海關用?不然就去買啊!我們又不是沒有錢,可以嗎? |
gazette.blocks[78][0] |
莊部長翠雲:跟委員報告,我們先去瞭解,然後跟相關機關聯繫看看用怎麼樣的方式來做。 |
gazette.blocks[79][0] |
彭主任委員金隆:謝謝委員。 |
gazette.blocks[80][0] |
主席:謝謝賴士葆委員的質詢。 |
gazette.blocks[81][0] |
主席(賴委員士葆代):下一位我們請郭國文委員質詢。 |
gazette.agenda.page_end |
274 |
gazette.agenda.meet_id |
委員會-11-1-20-15 |
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] |
賴士葆 |
gazette.agenda.speakers[4] |
王鴻薇 |
gazette.agenda.speakers[5] |
顏寬恒 |
gazette.agenda.speakers[6] |
賴惠員 |
gazette.agenda.speakers[7] |
李坤城 |
gazette.agenda.speakers[8] |
李彥秀 |
gazette.agenda.speakers[9] |
黃珊珊 |
gazette.agenda.speakers[10] |
伍麗華Saidhai‧Tahovecahe |
gazette.agenda.speakers[11] |
王世堅 |
gazette.agenda.speakers[12] |
羅明才 |
gazette.agenda.speakers[13] |
陳玉珍 |
gazette.agenda.speakers[14] |
黃國昌 |
gazette.agenda.speakers[15] |
鍾佳濱 |
gazette.agenda.speakers[16] |
林楚茵 |
gazette.agenda.speakers[17] |
邱志偉 |
gazette.agenda.speakers[18] |
張智倫 |
gazette.agenda.speakers[19] |
楊瓊瓔 |
gazette.agenda.speakers[20] |
蔡易餘 |
gazette.agenda.page_start |
209 |
gazette.agenda.meetingDate[0] |
2024-05-30 |
gazette.agenda.gazette_id |
1135401 |
gazette.agenda.agenda_lcidc_ids[0] |
1135401_00009 |
gazette.agenda.meet_name |
立法院第11屆第1會期財政委員會第15次全體委員會議紀錄 |
gazette.agenda.content |
邀請財政部莊部長翠雲、金融監督管理委員會彭主任委員金隆率所屬相關單位就「如何精進 ESG
制度評鑑,並導引金融機構落實放貸及貸後管理工作」進行專題報告,並備質詢 |
gazette.agenda.agenda_id |
1135401_00010 |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
0.41909375 |
transcript.pyannote[0].end |
1.12784375 |
transcript.pyannote[1].speaker |
SPEAKER_04 |
transcript.pyannote[1].start |
2.20784375 |
transcript.pyannote[1].end |
3.01784375 |
transcript.pyannote[2].speaker |
SPEAKER_04 |
transcript.pyannote[2].start |
3.52409375 |
transcript.pyannote[2].end |
4.09784375 |
transcript.pyannote[3].speaker |
SPEAKER_04 |
transcript.pyannote[3].start |
5.61659375 |
transcript.pyannote[3].end |
5.97096875 |
transcript.pyannote[4].speaker |
SPEAKER_05 |
transcript.pyannote[4].start |
5.97096875 |
transcript.pyannote[4].end |
6.02159375 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
7.06784375 |
transcript.pyannote[5].end |
8.19846875 |
transcript.pyannote[6].speaker |
SPEAKER_05 |
transcript.pyannote[6].start |
9.04221875 |
transcript.pyannote[6].end |
9.41346875 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
9.80159375 |
transcript.pyannote[7].end |
11.37096875 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
12.23159375 |
transcript.pyannote[8].end |
13.86846875 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
14.34096875 |
transcript.pyannote[9].end |
17.36159375 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
18.01971875 |
transcript.pyannote[10].end |
18.72846875 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
18.99846875 |
transcript.pyannote[11].end |
21.07409375 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
22.20471875 |
transcript.pyannote[12].end |
24.46596875 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
24.70221875 |
transcript.pyannote[13].end |
25.27596875 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
25.57971875 |
transcript.pyannote[14].end |
27.45284375 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
27.79034375 |
transcript.pyannote[15].end |
29.30909375 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
30.11909375 |
transcript.pyannote[16].end |
32.32971875 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
33.98346875 |
transcript.pyannote[17].end |
34.60784375 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
34.94534375 |
transcript.pyannote[18].end |
35.80596875 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
36.29534375 |
transcript.pyannote[19].end |
38.05034375 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
38.23596875 |
transcript.pyannote[20].end |
39.43409375 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
40.15971875 |
transcript.pyannote[21].end |
41.10471875 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
42.10034375 |
transcript.pyannote[22].end |
45.03659375 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
45.98159375 |
transcript.pyannote[23].end |
46.52159375 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
46.79159375 |
transcript.pyannote[24].end |
48.69846875 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
49.23846875 |
transcript.pyannote[25].end |
51.76971875 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
52.44471875 |
transcript.pyannote[26].end |
54.52034375 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
55.41471875 |
transcript.pyannote[27].end |
57.18659375 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
58.58721875 |
transcript.pyannote[28].end |
63.81846875 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
64.47659375 |
transcript.pyannote[29].end |
72.25596875 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
73.13346875 |
transcript.pyannote[30].end |
75.09096875 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
76.69409375 |
transcript.pyannote[31].end |
77.92596875 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
78.76971875 |
transcript.pyannote[32].end |
79.86659375 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
80.76096875 |
transcript.pyannote[33].end |
81.57096875 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
82.17846875 |
transcript.pyannote[34].end |
83.08971875 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
83.69721875 |
transcript.pyannote[35].end |
84.50721875 |
transcript.pyannote[36].speaker |
SPEAKER_02 |
transcript.pyannote[36].start |
84.86159375 |
transcript.pyannote[36].end |
85.77284375 |
transcript.pyannote[37].speaker |
SPEAKER_02 |
transcript.pyannote[37].start |
86.53221875 |
transcript.pyannote[37].end |
87.73034375 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
88.33784375 |
transcript.pyannote[38].end |
89.80596875 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
90.63284375 |
transcript.pyannote[39].end |
91.25721875 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
91.45971875 |
transcript.pyannote[40].end |
91.86471875 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
92.21909375 |
transcript.pyannote[41].end |
92.60721875 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
92.89409375 |
transcript.pyannote[42].end |
93.55221875 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
94.56471875 |
transcript.pyannote[43].end |
94.93596875 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
95.45909375 |
transcript.pyannote[44].end |
96.10034375 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
97.65284375 |
transcript.pyannote[45].end |
98.53034375 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
99.07034375 |
transcript.pyannote[46].end |
101.23034375 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
101.97284375 |
transcript.pyannote[47].end |
103.87971875 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
106.44471875 |
transcript.pyannote[48].end |
107.28846875 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
108.35159375 |
transcript.pyannote[49].end |
109.98846875 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
110.46096875 |
transcript.pyannote[50].end |
111.70971875 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
112.11471875 |
transcript.pyannote[51].end |
114.74721875 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
114.91596875 |
transcript.pyannote[52].end |
116.85659375 |
transcript.pyannote[53].speaker |
SPEAKER_02 |
transcript.pyannote[53].start |
117.12659375 |
transcript.pyannote[53].end |
117.53159375 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
118.84784375 |
transcript.pyannote[54].end |
119.28659375 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
121.44659375 |
transcript.pyannote[55].end |
122.50971875 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
123.57284375 |
transcript.pyannote[56].end |
124.50096875 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
125.69909375 |
transcript.pyannote[57].end |
126.27284375 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
126.76221875 |
transcript.pyannote[58].end |
127.99409375 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
128.90534375 |
transcript.pyannote[59].end |
130.15409375 |
transcript.pyannote[60].speaker |
SPEAKER_02 |
transcript.pyannote[60].start |
130.69409375 |
transcript.pyannote[60].end |
131.14971875 |
transcript.pyannote[61].speaker |
SPEAKER_02 |
transcript.pyannote[61].start |
131.53784375 |
transcript.pyannote[61].end |
132.17909375 |
transcript.pyannote[62].speaker |
SPEAKER_03 |
transcript.pyannote[62].start |
134.89596875 |
transcript.pyannote[62].end |
135.09846875 |
transcript.pyannote[63].speaker |
SPEAKER_03 |
transcript.pyannote[63].start |
135.26721875 |
transcript.pyannote[63].end |
144.17721875 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
143.45159375 |
transcript.pyannote[64].end |
144.49784375 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
144.70034375 |
transcript.pyannote[65].end |
151.68659375 |
transcript.pyannote[66].speaker |
SPEAKER_03 |
transcript.pyannote[66].start |
152.85096875 |
transcript.pyannote[66].end |
152.93534375 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
152.93534375 |
transcript.pyannote[67].end |
159.75284375 |
transcript.pyannote[68].speaker |
SPEAKER_03 |
transcript.pyannote[68].start |
152.96909375 |
transcript.pyannote[68].end |
153.08721875 |
transcript.pyannote[69].speaker |
SPEAKER_03 |
transcript.pyannote[69].start |
160.29284375 |
transcript.pyannote[69].end |
166.77284375 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
166.03034375 |
transcript.pyannote[70].end |
167.78534375 |
transcript.pyannote[71].speaker |
SPEAKER_03 |
transcript.pyannote[71].start |
166.89096875 |
transcript.pyannote[71].end |
167.75159375 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
168.40971875 |
transcript.pyannote[72].end |
174.18096875 |
transcript.pyannote[73].speaker |
SPEAKER_03 |
transcript.pyannote[73].start |
168.61221875 |
transcript.pyannote[73].end |
169.10159375 |
transcript.pyannote[74].speaker |
SPEAKER_03 |
transcript.pyannote[74].start |
174.67034375 |
transcript.pyannote[74].end |
176.00346875 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
175.59846875 |
transcript.pyannote[75].end |
175.80096875 |
transcript.pyannote[76].speaker |
SPEAKER_03 |
transcript.pyannote[76].start |
176.12159375 |
transcript.pyannote[76].end |
186.22971875 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
185.25096875 |
transcript.pyannote[77].end |
189.30096875 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
189.80721875 |
transcript.pyannote[78].end |
191.32596875 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
192.11909375 |
transcript.pyannote[79].end |
193.62096875 |
transcript.pyannote[80].speaker |
SPEAKER_03 |
transcript.pyannote[80].start |
194.04284375 |
transcript.pyannote[80].end |
197.04659375 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
195.15659375 |
transcript.pyannote[81].end |
196.60784375 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
196.77659375 |
transcript.pyannote[82].end |
204.35346875 |
transcript.pyannote[83].speaker |
SPEAKER_02 |
transcript.pyannote[83].start |
205.55159375 |
transcript.pyannote[83].end |
206.90159375 |
transcript.pyannote[84].speaker |
SPEAKER_02 |
transcript.pyannote[84].start |
208.20096875 |
transcript.pyannote[84].end |
210.88409375 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
211.13721875 |
transcript.pyannote[85].end |
212.62221875 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
213.44909375 |
transcript.pyannote[86].end |
216.80721875 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
218.14034375 |
transcript.pyannote[87].end |
219.55784375 |
transcript.pyannote[88].speaker |
SPEAKER_02 |
transcript.pyannote[88].start |
220.99221875 |
transcript.pyannote[88].end |
222.37596875 |
transcript.pyannote[89].speaker |
SPEAKER_02 |
transcript.pyannote[89].start |
223.67534375 |
transcript.pyannote[89].end |
224.01284375 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
224.28284375 |
transcript.pyannote[90].end |
228.56909375 |
transcript.pyannote[91].speaker |
SPEAKER_02 |
transcript.pyannote[91].start |
229.61534375 |
transcript.pyannote[91].end |
231.38721875 |
transcript.pyannote[92].speaker |
SPEAKER_05 |
transcript.pyannote[92].start |
231.65721875 |
transcript.pyannote[92].end |
231.96096875 |
transcript.pyannote[93].speaker |
SPEAKER_05 |
transcript.pyannote[93].start |
232.45034375 |
transcript.pyannote[93].end |
233.66534375 |
transcript.pyannote[94].speaker |
SPEAKER_05 |
transcript.pyannote[94].start |
234.40784375 |
transcript.pyannote[94].end |
243.19971875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
245.12346875 |
transcript.pyannote[95].end |
245.14034375 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
245.14034375 |
transcript.pyannote[96].end |
246.72659375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
246.72659375 |
transcript.pyannote[97].end |
246.74346875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
247.03034375 |
transcript.pyannote[98].end |
253.72971875 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
252.76784375 |
transcript.pyannote[99].end |
255.13034375 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
254.30346875 |
transcript.pyannote[100].end |
266.92596875 |
transcript.pyannote[101].speaker |
SPEAKER_02 |
transcript.pyannote[101].start |
266.68971875 |
transcript.pyannote[101].end |
268.74846875 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
269.38971875 |
transcript.pyannote[102].end |
271.97159375 |
transcript.pyannote[103].speaker |
SPEAKER_02 |
transcript.pyannote[103].start |
273.23721875 |
transcript.pyannote[103].end |
274.63784375 |
transcript.pyannote[104].speaker |
SPEAKER_02 |
transcript.pyannote[104].start |
275.61659375 |
transcript.pyannote[104].end |
277.20284375 |
transcript.pyannote[105].speaker |
SPEAKER_02 |
transcript.pyannote[105].start |
277.52346875 |
transcript.pyannote[105].end |
282.45096875 |
transcript.pyannote[106].speaker |
SPEAKER_02 |
transcript.pyannote[106].start |
282.94034375 |
transcript.pyannote[106].end |
285.23534375 |
transcript.pyannote[107].speaker |
SPEAKER_02 |
transcript.pyannote[107].start |
286.26471875 |
transcript.pyannote[107].end |
289.30221875 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
290.31471875 |
transcript.pyannote[108].end |
291.29346875 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
291.49596875 |
transcript.pyannote[109].end |
293.48721875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
296.42346875 |
transcript.pyannote[110].end |
298.21221875 |
transcript.pyannote[111].speaker |
SPEAKER_02 |
transcript.pyannote[111].start |
298.44846875 |
transcript.pyannote[111].end |
300.89534375 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
302.68409375 |
transcript.pyannote[112].end |
304.28721875 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
306.70034375 |
transcript.pyannote[113].end |
310.56471875 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
311.52659375 |
transcript.pyannote[114].end |
314.04096875 |
transcript.pyannote[115].speaker |
SPEAKER_02 |
transcript.pyannote[115].start |
314.29409375 |
transcript.pyannote[115].end |
314.51346875 |
transcript.pyannote[116].speaker |
SPEAKER_02 |
transcript.pyannote[116].start |
315.69471875 |
transcript.pyannote[116].end |
316.69034375 |
transcript.pyannote[117].speaker |
SPEAKER_02 |
transcript.pyannote[117].start |
318.09096875 |
transcript.pyannote[117].end |
319.49159375 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
321.75284375 |
transcript.pyannote[118].end |
322.14096875 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
323.92971875 |
transcript.pyannote[119].end |
326.47784375 |
transcript.pyannote[120].speaker |
SPEAKER_05 |
transcript.pyannote[120].start |
326.47784375 |
transcript.pyannote[120].end |
326.49471875 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
326.49471875 |
transcript.pyannote[121].end |
326.54534375 |
transcript.pyannote[122].speaker |
SPEAKER_05 |
transcript.pyannote[122].start |
326.54534375 |
transcript.pyannote[122].end |
326.57909375 |
transcript.pyannote[123].speaker |
SPEAKER_02 |
transcript.pyannote[123].start |
326.57909375 |
transcript.pyannote[123].end |
326.61284375 |
transcript.pyannote[124].speaker |
SPEAKER_05 |
transcript.pyannote[124].start |
326.61284375 |
transcript.pyannote[124].end |
335.30346875 |
transcript.pyannote[125].speaker |
SPEAKER_02 |
transcript.pyannote[125].start |
326.71409375 |
transcript.pyannote[125].end |
326.95034375 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
334.49346875 |
transcript.pyannote[126].end |
336.29909375 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
337.10909375 |
transcript.pyannote[127].end |
338.62784375 |
transcript.pyannote[128].speaker |
SPEAKER_05 |
transcript.pyannote[128].start |
337.51409375 |
transcript.pyannote[128].end |
337.71659375 |
transcript.pyannote[129].speaker |
SPEAKER_03 |
transcript.pyannote[129].start |
337.71659375 |
transcript.pyannote[129].end |
338.57721875 |
transcript.pyannote[130].speaker |
SPEAKER_05 |
transcript.pyannote[130].start |
338.62784375 |
transcript.pyannote[130].end |
338.64471875 |
transcript.pyannote[131].speaker |
SPEAKER_03 |
transcript.pyannote[131].start |
338.94846875 |
transcript.pyannote[131].end |
344.60159375 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
343.96034375 |
transcript.pyannote[132].end |
345.78284375 |
transcript.pyannote[133].speaker |
SPEAKER_03 |
transcript.pyannote[133].start |
344.68596875 |
transcript.pyannote[133].end |
348.48284375 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
348.04409375 |
transcript.pyannote[134].end |
350.38971875 |
transcript.pyannote[135].speaker |
SPEAKER_02 |
transcript.pyannote[135].start |
352.17846875 |
transcript.pyannote[135].end |
355.13159375 |
transcript.pyannote[136].speaker |
SPEAKER_02 |
transcript.pyannote[136].start |
356.17784375 |
transcript.pyannote[136].end |
357.59534375 |
transcript.pyannote[137].speaker |
SPEAKER_02 |
transcript.pyannote[137].start |
362.57346875 |
transcript.pyannote[137].end |
364.19346875 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
364.86846875 |
transcript.pyannote[138].end |
368.32784375 |
transcript.pyannote[139].speaker |
SPEAKER_02 |
transcript.pyannote[139].start |
368.64846875 |
transcript.pyannote[139].end |
371.43284375 |
transcript.pyannote[140].speaker |
SPEAKER_05 |
transcript.pyannote[140].start |
372.29346875 |
transcript.pyannote[140].end |
373.28909375 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
372.49596875 |
transcript.pyannote[141].end |
373.55909375 |
transcript.pyannote[142].speaker |
SPEAKER_05 |
transcript.pyannote[142].start |
373.44096875 |
transcript.pyannote[142].end |
373.45784375 |
transcript.pyannote[143].speaker |
SPEAKER_05 |
transcript.pyannote[143].start |
373.55909375 |
transcript.pyannote[143].end |
374.35221875 |
transcript.pyannote[144].speaker |
SPEAKER_02 |
transcript.pyannote[144].start |
374.57159375 |
transcript.pyannote[144].end |
378.14909375 |
transcript.pyannote[145].speaker |
SPEAKER_05 |
transcript.pyannote[145].start |
378.55409375 |
transcript.pyannote[145].end |
389.94471875 |
transcript.pyannote[146].speaker |
SPEAKER_02 |
transcript.pyannote[146].start |
385.43909375 |
transcript.pyannote[146].end |
386.99159375 |
transcript.pyannote[147].speaker |
SPEAKER_02 |
transcript.pyannote[147].start |
387.81846875 |
transcript.pyannote[147].end |
387.86909375 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
389.38784375 |
transcript.pyannote[148].end |
394.58534375 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
395.34471875 |
transcript.pyannote[149].end |
396.13784375 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
396.57659375 |
transcript.pyannote[150].end |
397.84221875 |
transcript.pyannote[151].speaker |
SPEAKER_02 |
transcript.pyannote[151].start |
398.58471875 |
transcript.pyannote[151].end |
399.07409375 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
399.69846875 |
transcript.pyannote[152].end |
401.72346875 |
transcript.pyannote[153].speaker |
SPEAKER_02 |
transcript.pyannote[153].start |
402.26346875 |
transcript.pyannote[153].end |
402.90471875 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
403.29284375 |
transcript.pyannote[154].end |
403.78221875 |
transcript.pyannote[155].speaker |
SPEAKER_02 |
transcript.pyannote[155].start |
404.25471875 |
transcript.pyannote[155].end |
404.72721875 |
transcript.pyannote[156].speaker |
SPEAKER_02 |
transcript.pyannote[156].start |
407.95034375 |
transcript.pyannote[156].end |
409.55346875 |
transcript.pyannote[157].speaker |
SPEAKER_02 |
transcript.pyannote[157].start |
410.22846875 |
transcript.pyannote[157].end |
411.17346875 |
transcript.pyannote[158].speaker |
SPEAKER_05 |
transcript.pyannote[158].start |
412.32096875 |
transcript.pyannote[158].end |
414.17721875 |
transcript.pyannote[159].speaker |
SPEAKER_02 |
transcript.pyannote[159].start |
414.17721875 |
transcript.pyannote[159].end |
414.48096875 |
transcript.pyannote[160].speaker |
SPEAKER_02 |
transcript.pyannote[160].start |
416.79284375 |
transcript.pyannote[160].end |
417.61971875 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
418.41284375 |
transcript.pyannote[161].end |
420.58971875 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
420.77534375 |
transcript.pyannote[162].end |
421.66971875 |
transcript.pyannote[163].speaker |
SPEAKER_02 |
transcript.pyannote[163].start |
422.31096875 |
transcript.pyannote[163].end |
424.20096875 |
transcript.pyannote[164].speaker |
SPEAKER_02 |
transcript.pyannote[164].start |
424.21784375 |
transcript.pyannote[164].end |
426.52971875 |
transcript.pyannote[165].speaker |
SPEAKER_02 |
transcript.pyannote[165].start |
426.68159375 |
transcript.pyannote[165].end |
427.49159375 |
transcript.pyannote[166].speaker |
SPEAKER_02 |
transcript.pyannote[166].start |
428.30159375 |
transcript.pyannote[166].end |
428.80784375 |
transcript.pyannote[167].speaker |
SPEAKER_04 |
transcript.pyannote[167].start |
429.19596875 |
transcript.pyannote[167].end |
429.93846875 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
429.70221875 |
transcript.pyannote[168].end |
431.03534375 |
transcript.pyannote[169].speaker |
SPEAKER_04 |
transcript.pyannote[169].start |
431.38971875 |
transcript.pyannote[169].end |
433.06034375 |
transcript.pyannote[170].speaker |
SPEAKER_02 |
transcript.pyannote[170].start |
444.51846875 |
transcript.pyannote[170].end |
445.88534375 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
446.88096875 |
transcript.pyannote[171].end |
447.82596875 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
448.43346875 |
transcript.pyannote[172].end |
449.47971875 |
transcript.pyannote[173].speaker |
SPEAKER_02 |
transcript.pyannote[173].start |
451.01534375 |
transcript.pyannote[173].end |
454.66034375 |
transcript.pyannote[174].speaker |
SPEAKER_02 |
transcript.pyannote[174].start |
455.40284375 |
transcript.pyannote[174].end |
457.52909375 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
458.18721875 |
transcript.pyannote[175].end |
458.92971875 |
transcript.pyannote[176].speaker |
SPEAKER_02 |
transcript.pyannote[176].start |
459.53721875 |
transcript.pyannote[176].end |
459.90846875 |
transcript.pyannote[177].speaker |
SPEAKER_02 |
transcript.pyannote[177].start |
460.19534375 |
transcript.pyannote[177].end |
460.66784375 |
transcript.pyannote[178].speaker |
SPEAKER_02 |
transcript.pyannote[178].start |
461.22471875 |
transcript.pyannote[178].end |
461.71409375 |
transcript.pyannote[179].speaker |
SPEAKER_02 |
transcript.pyannote[179].start |
463.65471875 |
transcript.pyannote[179].end |
466.79346875 |
transcript.pyannote[180].speaker |
SPEAKER_02 |
transcript.pyannote[180].start |
467.04659375 |
transcript.pyannote[180].end |
469.49346875 |
transcript.pyannote[181].speaker |
SPEAKER_02 |
transcript.pyannote[181].start |
469.81409375 |
transcript.pyannote[181].end |
472.27784375 |
transcript.pyannote[182].speaker |
SPEAKER_02 |
transcript.pyannote[182].start |
472.44659375 |
transcript.pyannote[182].end |
473.72909375 |
transcript.pyannote[183].speaker |
SPEAKER_02 |
transcript.pyannote[183].start |
474.04971875 |
transcript.pyannote[183].end |
475.01159375 |
transcript.pyannote[184].speaker |
SPEAKER_02 |
transcript.pyannote[184].start |
477.35721875 |
transcript.pyannote[184].end |
478.16721875 |
transcript.pyannote[185].speaker |
SPEAKER_02 |
transcript.pyannote[185].start |
481.28909375 |
transcript.pyannote[185].end |
481.69409375 |
transcript.pyannote[186].speaker |
SPEAKER_02 |
transcript.pyannote[186].start |
481.71096875 |
transcript.pyannote[186].end |
483.88784375 |
transcript.pyannote[187].speaker |
SPEAKER_02 |
transcript.pyannote[187].start |
484.10721875 |
transcript.pyannote[187].end |
484.84971875 |
transcript.pyannote[188].speaker |
SPEAKER_02 |
transcript.pyannote[188].start |
485.87909375 |
transcript.pyannote[188].end |
487.09409375 |
transcript.pyannote[189].speaker |
SPEAKER_02 |
transcript.pyannote[189].start |
491.61659375 |
transcript.pyannote[189].end |
493.03409375 |
transcript.pyannote[190].speaker |
SPEAKER_02 |
transcript.pyannote[190].start |
493.57409375 |
transcript.pyannote[190].end |
493.69221875 |
transcript.pyannote[191].speaker |
SPEAKER_06 |
transcript.pyannote[191].start |
493.69221875 |
transcript.pyannote[191].end |
495.54846875 |
transcript.pyannote[192].speaker |
SPEAKER_02 |
transcript.pyannote[192].start |
493.75971875 |
transcript.pyannote[192].end |
494.16471875 |
transcript.pyannote[193].speaker |
SPEAKER_06 |
transcript.pyannote[193].start |
495.78471875 |
transcript.pyannote[193].end |
497.91096875 |
transcript.pyannote[194].speaker |
SPEAKER_02 |
transcript.pyannote[194].start |
497.91096875 |
transcript.pyannote[194].end |
498.95721875 |
transcript.pyannote[195].speaker |
SPEAKER_04 |
transcript.pyannote[195].start |
499.88534375 |
transcript.pyannote[195].end |
503.71596875 |
transcript.pyannote[196].speaker |
SPEAKER_04 |
transcript.pyannote[196].start |
504.20534375 |
transcript.pyannote[196].end |
506.93909375 |
transcript.pyannote[197].speaker |
SPEAKER_02 |
transcript.pyannote[197].start |
505.21784375 |
transcript.pyannote[197].end |
505.72409375 |
transcript.pyannote[198].speaker |
SPEAKER_02 |
transcript.pyannote[198].start |
506.98971875 |
transcript.pyannote[198].end |
507.83346875 |
transcript.pyannote[199].speaker |
SPEAKER_02 |
transcript.pyannote[199].start |
508.86284375 |
transcript.pyannote[199].end |
509.92596875 |
transcript.pyannote[200].speaker |
SPEAKER_04 |
transcript.pyannote[200].start |
510.09471875 |
transcript.pyannote[200].end |
510.51659375 |
transcript.pyannote[201].speaker |
SPEAKER_02 |
transcript.pyannote[201].start |
510.82034375 |
transcript.pyannote[201].end |
512.13659375 |
transcript.pyannote[202].speaker |
SPEAKER_04 |
transcript.pyannote[202].start |
511.49534375 |
transcript.pyannote[202].end |
513.01409375 |
transcript.pyannote[203].speaker |
SPEAKER_02 |
transcript.pyannote[203].start |
513.50346875 |
transcript.pyannote[203].end |
514.68471875 |
transcript.pyannote[204].speaker |
SPEAKER_04 |
transcript.pyannote[204].start |
514.87034375 |
transcript.pyannote[204].end |
515.93346875 |
transcript.pyannote[205].speaker |
SPEAKER_02 |
transcript.pyannote[205].start |
516.15284375 |
transcript.pyannote[205].end |
517.35096875 |
transcript.pyannote[206].speaker |
SPEAKER_04 |
transcript.pyannote[206].start |
518.05971875 |
transcript.pyannote[206].end |
519.91596875 |
transcript.pyannote[207].speaker |
SPEAKER_02 |
transcript.pyannote[207].start |
519.69659375 |
transcript.pyannote[207].end |
520.01721875 |
transcript.pyannote[208].speaker |
SPEAKER_04 |
transcript.pyannote[208].start |
520.01721875 |
transcript.pyannote[208].end |
520.18596875 |
transcript.pyannote[209].speaker |
SPEAKER_04 |
transcript.pyannote[209].start |
520.43909375 |
transcript.pyannote[209].end |
521.41784375 |
transcript.pyannote[210].speaker |
SPEAKER_02 |
transcript.pyannote[210].start |
521.41784375 |
transcript.pyannote[210].end |
521.97471875 |
transcript.pyannote[211].speaker |
SPEAKER_04 |
transcript.pyannote[211].start |
521.97471875 |
transcript.pyannote[211].end |
522.88596875 |
transcript.pyannote[212].speaker |
SPEAKER_02 |
transcript.pyannote[212].start |
523.69596875 |
transcript.pyannote[212].end |
524.05034375 |
transcript.pyannote[213].speaker |
SPEAKER_04 |
transcript.pyannote[213].start |
524.05034375 |
transcript.pyannote[213].end |
527.35784375 |
transcript.pyannote[214].speaker |
SPEAKER_02 |
transcript.pyannote[214].start |
524.06721875 |
transcript.pyannote[214].end |
524.50596875 |
transcript.pyannote[215].speaker |
SPEAKER_02 |
transcript.pyannote[215].start |
525.63659375 |
transcript.pyannote[215].end |
527.40846875 |
transcript.pyannote[216].speaker |
SPEAKER_04 |
transcript.pyannote[216].start |
527.96534375 |
transcript.pyannote[216].end |
527.99909375 |
transcript.pyannote[217].speaker |
SPEAKER_02 |
transcript.pyannote[217].start |
527.99909375 |
transcript.pyannote[217].end |
530.09159375 |
transcript.pyannote[218].speaker |
SPEAKER_04 |
transcript.pyannote[218].start |
528.08346875 |
transcript.pyannote[218].end |
529.87221875 |
transcript.pyannote[219].speaker |
SPEAKER_02 |
transcript.pyannote[219].start |
533.23034375 |
transcript.pyannote[219].end |
533.58471875 |
transcript.pyannote[220].speaker |
SPEAKER_02 |
transcript.pyannote[220].start |
533.87159375 |
transcript.pyannote[220].end |
535.67721875 |
transcript.pyannote[221].speaker |
SPEAKER_02 |
transcript.pyannote[221].start |
538.42784375 |
transcript.pyannote[221].end |
541.85346875 |
transcript.pyannote[222].speaker |
SPEAKER_02 |
transcript.pyannote[222].start |
542.25846875 |
transcript.pyannote[222].end |
543.57471875 |
transcript.pyannote[223].speaker |
SPEAKER_02 |
transcript.pyannote[223].start |
544.87409375 |
transcript.pyannote[223].end |
545.56596875 |
transcript.pyannote[224].speaker |
SPEAKER_02 |
transcript.pyannote[224].start |
546.03846875 |
transcript.pyannote[224].end |
548.46846875 |
transcript.pyannote[225].speaker |
SPEAKER_02 |
transcript.pyannote[225].start |
549.61596875 |
transcript.pyannote[225].end |
552.50159375 |
transcript.pyannote[226].speaker |
SPEAKER_02 |
transcript.pyannote[226].start |
553.07534375 |
transcript.pyannote[226].end |
553.41284375 |
transcript.pyannote[227].speaker |
SPEAKER_02 |
transcript.pyannote[227].start |
554.99909375 |
transcript.pyannote[227].end |
556.01159375 |
transcript.pyannote[228].speaker |
SPEAKER_05 |
transcript.pyannote[228].start |
556.24784375 |
transcript.pyannote[228].end |
557.02409375 |
transcript.pyannote[229].speaker |
SPEAKER_02 |
transcript.pyannote[229].start |
557.02409375 |
transcript.pyannote[229].end |
557.61471875 |
transcript.pyannote[230].speaker |
SPEAKER_02 |
transcript.pyannote[230].start |
559.08284375 |
transcript.pyannote[230].end |
559.69034375 |
transcript.pyannote[231].speaker |
SPEAKER_02 |
transcript.pyannote[231].start |
560.51721875 |
transcript.pyannote[231].end |
561.68159375 |
transcript.pyannote[232].speaker |
SPEAKER_02 |
transcript.pyannote[232].start |
562.52534375 |
transcript.pyannote[232].end |
564.88784375 |
transcript.pyannote[233].speaker |
SPEAKER_02 |
transcript.pyannote[233].start |
565.05659375 |
transcript.pyannote[233].end |
565.61346875 |
transcript.pyannote[234].speaker |
SPEAKER_02 |
transcript.pyannote[234].start |
565.84971875 |
transcript.pyannote[234].end |
568.02659375 |
transcript.pyannote[235].speaker |
SPEAKER_02 |
transcript.pyannote[235].start |
570.60846875 |
transcript.pyannote[235].end |
571.75596875 |
transcript.pyannote[236].speaker |
SPEAKER_02 |
transcript.pyannote[236].start |
571.95846875 |
transcript.pyannote[236].end |
572.44784375 |
transcript.pyannote[237].speaker |
SPEAKER_02 |
transcript.pyannote[237].start |
573.24096875 |
transcript.pyannote[237].end |
573.88221875 |
transcript.pyannote[238].speaker |
SPEAKER_02 |
transcript.pyannote[238].start |
573.93284375 |
transcript.pyannote[238].end |
575.38409375 |
transcript.pyannote[239].speaker |
SPEAKER_02 |
transcript.pyannote[239].start |
576.16034375 |
transcript.pyannote[239].end |
577.72971875 |
transcript.pyannote[240].speaker |
SPEAKER_02 |
transcript.pyannote[240].start |
578.69159375 |
transcript.pyannote[240].end |
584.36159375 |
transcript.pyannote[241].speaker |
SPEAKER_02 |
transcript.pyannote[241].start |
585.05346875 |
transcript.pyannote[241].end |
586.35284375 |
transcript.pyannote[242].speaker |
SPEAKER_02 |
transcript.pyannote[242].start |
588.49596875 |
transcript.pyannote[242].end |
588.78284375 |
transcript.pyannote[243].speaker |
SPEAKER_02 |
transcript.pyannote[243].start |
589.66034375 |
transcript.pyannote[243].end |
590.97659375 |
transcript.pyannote[244].speaker |
SPEAKER_06 |
transcript.pyannote[244].start |
590.97659375 |
transcript.pyannote[244].end |
603.44721875 |
transcript.pyannote[245].speaker |
SPEAKER_02 |
transcript.pyannote[245].start |
600.46034375 |
transcript.pyannote[245].end |
602.58659375 |
transcript.pyannote[246].speaker |
SPEAKER_06 |
transcript.pyannote[246].start |
603.59909375 |
transcript.pyannote[246].end |
610.63596875 |
transcript.pyannote[247].speaker |
SPEAKER_06 |
transcript.pyannote[247].start |
610.90596875 |
transcript.pyannote[247].end |
611.68221875 |
transcript.pyannote[248].speaker |
SPEAKER_06 |
transcript.pyannote[248].start |
611.85096875 |
transcript.pyannote[248].end |
617.97659375 |
transcript.pyannote[249].speaker |
SPEAKER_02 |
transcript.pyannote[249].start |
618.44909375 |
transcript.pyannote[249].end |
619.90034375 |
transcript.pyannote[250].speaker |
SPEAKER_02 |
transcript.pyannote[250].start |
620.69346875 |
transcript.pyannote[250].end |
621.57096875 |
transcript.pyannote[251].speaker |
SPEAKER_02 |
transcript.pyannote[251].start |
621.79034375 |
transcript.pyannote[251].end |
622.68471875 |
transcript.pyannote[252].speaker |
SPEAKER_02 |
transcript.pyannote[252].start |
623.44409375 |
transcript.pyannote[252].end |
625.03034375 |
transcript.pyannote[253].speaker |
SPEAKER_02 |
transcript.pyannote[253].start |
625.24971875 |
transcript.pyannote[253].end |
626.34659375 |
transcript.pyannote[254].speaker |
SPEAKER_02 |
transcript.pyannote[254].start |
627.02159375 |
transcript.pyannote[254].end |
628.77659375 |
transcript.pyannote[255].speaker |
SPEAKER_02 |
transcript.pyannote[255].start |
630.43034375 |
transcript.pyannote[255].end |
632.96159375 |
transcript.pyannote[256].speaker |
SPEAKER_02 |
transcript.pyannote[256].start |
633.29909375 |
transcript.pyannote[256].end |
638.12534375 |
transcript.pyannote[257].speaker |
SPEAKER_02 |
transcript.pyannote[257].start |
638.91846875 |
transcript.pyannote[257].end |
642.15846875 |
transcript.pyannote[258].speaker |
SPEAKER_02 |
transcript.pyannote[258].start |
642.79971875 |
transcript.pyannote[258].end |
644.68971875 |
transcript.pyannote[259].speaker |
SPEAKER_02 |
transcript.pyannote[259].start |
645.44909375 |
transcript.pyannote[259].end |
646.71471875 |
transcript.pyannote[260].speaker |
SPEAKER_02 |
transcript.pyannote[260].start |
647.03534375 |
transcript.pyannote[260].end |
647.77784375 |
transcript.pyannote[261].speaker |
SPEAKER_02 |
transcript.pyannote[261].start |
649.43159375 |
transcript.pyannote[261].end |
650.62971875 |
transcript.pyannote[262].speaker |
SPEAKER_02 |
transcript.pyannote[262].start |
654.24096875 |
transcript.pyannote[262].end |
655.35471875 |
transcript.pyannote[263].speaker |
SPEAKER_02 |
transcript.pyannote[263].start |
655.79346875 |
transcript.pyannote[263].end |
657.49784375 |
transcript.pyannote[264].speaker |
SPEAKER_02 |
transcript.pyannote[264].start |
658.17284375 |
transcript.pyannote[264].end |
660.07971875 |
transcript.pyannote[265].speaker |
SPEAKER_02 |
transcript.pyannote[265].start |
660.31596875 |
transcript.pyannote[265].end |
661.69971875 |
transcript.pyannote[266].speaker |
SPEAKER_02 |
transcript.pyannote[266].start |
662.30721875 |
transcript.pyannote[266].end |
663.31971875 |
transcript.pyannote[267].speaker |
SPEAKER_02 |
transcript.pyannote[267].start |
663.77534375 |
transcript.pyannote[267].end |
664.61909375 |
transcript.pyannote[268].speaker |
SPEAKER_02 |
transcript.pyannote[268].start |
665.66534375 |
transcript.pyannote[268].end |
666.44159375 |
transcript.pyannote[269].speaker |
SPEAKER_02 |
transcript.pyannote[269].start |
666.84659375 |
transcript.pyannote[269].end |
668.56784375 |
transcript.pyannote[270].speaker |
SPEAKER_02 |
transcript.pyannote[270].start |
669.63096875 |
transcript.pyannote[270].end |
671.79096875 |
transcript.pyannote[271].speaker |
SPEAKER_02 |
transcript.pyannote[271].start |
673.25909375 |
transcript.pyannote[271].end |
674.76096875 |
transcript.pyannote[272].speaker |
SPEAKER_06 |
transcript.pyannote[272].start |
675.68909375 |
transcript.pyannote[272].end |
676.76909375 |
transcript.pyannote[273].speaker |
SPEAKER_06 |
transcript.pyannote[273].start |
676.88721875 |
transcript.pyannote[273].end |
677.39346875 |
transcript.pyannote[274].speaker |
SPEAKER_02 |
transcript.pyannote[274].start |
677.39346875 |
transcript.pyannote[274].end |
677.69721875 |
transcript.pyannote[275].speaker |
SPEAKER_06 |
transcript.pyannote[275].start |
677.69721875 |
transcript.pyannote[275].end |
677.71409375 |
transcript.pyannote[276].speaker |
SPEAKER_02 |
transcript.pyannote[276].start |
678.16971875 |
transcript.pyannote[276].end |
680.21159375 |
transcript.pyannote[277].speaker |
SPEAKER_01 |
transcript.pyannote[277].start |
680.78534375 |
transcript.pyannote[277].end |
680.93721875 |
transcript.pyannote[278].speaker |
SPEAKER_02 |
transcript.pyannote[278].start |
680.93721875 |
transcript.pyannote[278].end |
682.06784375 |
transcript.pyannote[279].speaker |
SPEAKER_02 |
transcript.pyannote[279].start |
683.11409375 |
transcript.pyannote[279].end |
684.93659375 |
transcript.pyannote[280].speaker |
SPEAKER_02 |
transcript.pyannote[280].start |
685.57784375 |
transcript.pyannote[280].end |
686.21909375 |
transcript.pyannote[281].speaker |
SPEAKER_02 |
transcript.pyannote[281].start |
686.42159375 |
transcript.pyannote[281].end |
688.54784375 |
transcript.pyannote[282].speaker |
SPEAKER_02 |
transcript.pyannote[282].start |
689.17221875 |
transcript.pyannote[282].end |
689.47596875 |
transcript.pyannote[283].speaker |
SPEAKER_02 |
transcript.pyannote[283].start |
690.21846875 |
transcript.pyannote[283].end |
692.34471875 |
transcript.pyannote[284].speaker |
SPEAKER_05 |
transcript.pyannote[284].start |
694.28534375 |
transcript.pyannote[284].end |
699.29721875 |
transcript.pyannote[285].speaker |
SPEAKER_02 |
transcript.pyannote[285].start |
698.52096875 |
transcript.pyannote[285].end |
699.38159375 |
transcript.pyannote[286].speaker |
SPEAKER_05 |
transcript.pyannote[286].start |
699.38159375 |
transcript.pyannote[286].end |
699.48284375 |
transcript.pyannote[287].speaker |
SPEAKER_05 |
transcript.pyannote[287].start |
699.60096875 |
transcript.pyannote[287].end |
705.15284375 |
transcript.pyannote[288].speaker |
SPEAKER_02 |
transcript.pyannote[288].start |
704.73096875 |
transcript.pyannote[288].end |
709.28721875 |
transcript.pyannote[289].speaker |
SPEAKER_02 |
transcript.pyannote[289].start |
709.75971875 |
transcript.pyannote[289].end |
711.16034375 |
transcript.pyannote[290].speaker |
SPEAKER_02 |
transcript.pyannote[290].start |
711.48096875 |
transcript.pyannote[290].end |
711.95346875 |
transcript.pyannote[291].speaker |
SPEAKER_02 |
transcript.pyannote[291].start |
713.01659375 |
transcript.pyannote[291].end |
713.35409375 |
transcript.pyannote[292].speaker |
SPEAKER_02 |
transcript.pyannote[292].start |
713.60721875 |
transcript.pyannote[292].end |
715.85159375 |
transcript.pyannote[293].speaker |
SPEAKER_02 |
transcript.pyannote[293].start |
716.37471875 |
transcript.pyannote[293].end |
717.57284375 |
transcript.pyannote[294].speaker |
SPEAKER_02 |
transcript.pyannote[294].start |
718.31534375 |
transcript.pyannote[294].end |
718.70346875 |
transcript.pyannote[295].speaker |
SPEAKER_02 |
transcript.pyannote[295].start |
719.37846875 |
transcript.pyannote[295].end |
721.01534375 |
transcript.pyannote[296].speaker |
SPEAKER_02 |
transcript.pyannote[296].start |
721.30221875 |
transcript.pyannote[296].end |
722.50034375 |
transcript.pyannote[297].speaker |
SPEAKER_02 |
transcript.pyannote[297].start |
724.35659375 |
transcript.pyannote[297].end |
724.79534375 |
transcript.pyannote[298].speaker |
SPEAKER_02 |
transcript.pyannote[298].start |
725.23409375 |
transcript.pyannote[298].end |
726.97221875 |
transcript.pyannote[299].speaker |
SPEAKER_02 |
transcript.pyannote[299].start |
728.35596875 |
transcript.pyannote[299].end |
730.58346875 |
transcript.pyannote[300].speaker |
SPEAKER_02 |
transcript.pyannote[300].start |
731.08971875 |
transcript.pyannote[300].end |
732.70971875 |
transcript.pyannote[301].speaker |
SPEAKER_02 |
transcript.pyannote[301].start |
733.63784375 |
transcript.pyannote[301].end |
734.48159375 |
transcript.pyannote[302].speaker |
SPEAKER_02 |
transcript.pyannote[302].start |
735.12284375 |
transcript.pyannote[302].end |
736.08471875 |
transcript.pyannote[303].speaker |
SPEAKER_02 |
transcript.pyannote[303].start |
736.72596875 |
transcript.pyannote[303].end |
738.36284375 |
transcript.pyannote[304].speaker |
SPEAKER_02 |
transcript.pyannote[304].start |
738.66659375 |
transcript.pyannote[304].end |
739.67909375 |
transcript.pyannote[305].speaker |
SPEAKER_02 |
transcript.pyannote[305].start |
739.86471875 |
transcript.pyannote[305].end |
741.73784375 |
transcript.pyannote[306].speaker |
SPEAKER_02 |
transcript.pyannote[306].start |
742.81784375 |
transcript.pyannote[306].end |
745.11284375 |
transcript.pyannote[307].speaker |
SPEAKER_02 |
transcript.pyannote[307].start |
745.56846875 |
transcript.pyannote[307].end |
749.29784375 |
transcript.pyannote[308].speaker |
SPEAKER_02 |
transcript.pyannote[308].start |
749.90534375 |
transcript.pyannote[308].end |
751.74471875 |
transcript.pyannote[309].speaker |
SPEAKER_02 |
transcript.pyannote[309].start |
754.39409375 |
transcript.pyannote[309].end |
755.67659375 |
transcript.pyannote[310].speaker |
SPEAKER_02 |
transcript.pyannote[310].start |
755.86221875 |
transcript.pyannote[310].end |
756.72284375 |
transcript.pyannote[311].speaker |
SPEAKER_02 |
transcript.pyannote[311].start |
758.27534375 |
transcript.pyannote[311].end |
759.35534375 |
transcript.pyannote[312].speaker |
SPEAKER_02 |
transcript.pyannote[312].start |
759.43971875 |
transcript.pyannote[312].end |
760.87409375 |
transcript.pyannote[313].speaker |
SPEAKER_02 |
transcript.pyannote[313].start |
761.39721875 |
transcript.pyannote[313].end |
761.93721875 |
transcript.pyannote[314].speaker |
SPEAKER_02 |
transcript.pyannote[314].start |
762.03846875 |
transcript.pyannote[314].end |
762.81471875 |
transcript.pyannote[315].speaker |
SPEAKER_02 |
transcript.pyannote[315].start |
763.28721875 |
transcript.pyannote[315].end |
764.68784375 |
transcript.pyannote[316].speaker |
SPEAKER_02 |
transcript.pyannote[316].start |
765.48096875 |
transcript.pyannote[316].end |
766.40909375 |
transcript.pyannote[317].speaker |
SPEAKER_02 |
transcript.pyannote[317].start |
767.69159375 |
transcript.pyannote[317].end |
768.82221875 |
transcript.pyannote[318].speaker |
SPEAKER_02 |
transcript.pyannote[318].start |
771.69096875 |
transcript.pyannote[318].end |
772.80471875 |
transcript.pyannote[319].speaker |
SPEAKER_01 |
transcript.pyannote[319].start |
775.48784375 |
transcript.pyannote[319].end |
777.61409375 |
transcript.pyannote[320].speaker |
SPEAKER_02 |
transcript.pyannote[320].start |
775.67346875 |
transcript.pyannote[320].end |
777.56346875 |
transcript.pyannote[321].speaker |
SPEAKER_01 |
transcript.pyannote[321].start |
777.76596875 |
transcript.pyannote[321].end |
778.05284375 |
transcript.pyannote[322].speaker |
SPEAKER_01 |
transcript.pyannote[322].start |
778.79534375 |
transcript.pyannote[322].end |
783.84096875 |
transcript.pyannote[323].speaker |
SPEAKER_02 |
transcript.pyannote[323].start |
782.33909375 |
transcript.pyannote[323].end |
784.33034375 |
transcript.pyannote[324].speaker |
SPEAKER_02 |
transcript.pyannote[324].start |
784.75221875 |
transcript.pyannote[324].end |
785.47784375 |
transcript.pyannote[325].speaker |
SPEAKER_02 |
transcript.pyannote[325].start |
786.67596875 |
transcript.pyannote[325].end |
787.08096875 |
transcript.pyannote[326].speaker |
SPEAKER_02 |
transcript.pyannote[326].start |
788.41409375 |
transcript.pyannote[326].end |
789.02159375 |
transcript.pyannote[327].speaker |
SPEAKER_02 |
transcript.pyannote[327].start |
789.46034375 |
transcript.pyannote[327].end |
789.88221875 |
transcript.pyannote[328].speaker |
SPEAKER_02 |
transcript.pyannote[328].start |
790.59096875 |
transcript.pyannote[328].end |
792.68346875 |
transcript.pyannote[329].speaker |
SPEAKER_02 |
transcript.pyannote[329].start |
793.56096875 |
transcript.pyannote[329].end |
794.40471875 |
transcript.pyannote[330].speaker |
SPEAKER_02 |
transcript.pyannote[330].start |
794.74221875 |
transcript.pyannote[330].end |
796.02471875 |
transcript.pyannote[331].speaker |
SPEAKER_02 |
transcript.pyannote[331].start |
796.14284375 |
transcript.pyannote[331].end |
796.49721875 |
transcript.pyannote[332].speaker |
SPEAKER_05 |
transcript.pyannote[332].start |
797.20596875 |
transcript.pyannote[332].end |
804.64784375 |
transcript.pyannote[333].speaker |
SPEAKER_02 |
transcript.pyannote[333].start |
805.22159375 |
transcript.pyannote[333].end |
806.65596875 |
transcript.pyannote[334].speaker |
SPEAKER_02 |
transcript.pyannote[334].start |
807.65159375 |
transcript.pyannote[334].end |
809.54159375 |
transcript.pyannote[335].speaker |
SPEAKER_02 |
transcript.pyannote[335].start |
809.59221875 |
transcript.pyannote[335].end |
812.79846875 |
transcript.pyannote[336].speaker |
SPEAKER_02 |
transcript.pyannote[336].start |
814.51971875 |
transcript.pyannote[336].end |
816.67971875 |
transcript.pyannote[337].speaker |
SPEAKER_02 |
transcript.pyannote[337].start |
818.16471875 |
transcript.pyannote[337].end |
821.32034375 |
transcript.pyannote[338].speaker |
SPEAKER_02 |
transcript.pyannote[338].start |
821.72534375 |
transcript.pyannote[338].end |
823.24409375 |
transcript.pyannote[339].speaker |
SPEAKER_02 |
transcript.pyannote[339].start |
823.81784375 |
transcript.pyannote[339].end |
825.82596875 |
transcript.pyannote[340].speaker |
SPEAKER_02 |
transcript.pyannote[340].start |
826.97346875 |
transcript.pyannote[340].end |
827.74971875 |
transcript.pyannote[341].speaker |
SPEAKER_02 |
transcript.pyannote[341].start |
828.08721875 |
transcript.pyannote[341].end |
828.40784375 |
transcript.pyannote[342].speaker |
SPEAKER_02 |
transcript.pyannote[342].start |
828.96471875 |
transcript.pyannote[342].end |
831.64784375 |
transcript.pyannote[343].speaker |
SPEAKER_06 |
transcript.pyannote[343].start |
829.38659375 |
transcript.pyannote[343].end |
838.75221875 |
transcript.pyannote[344].speaker |
SPEAKER_02 |
transcript.pyannote[344].start |
838.75221875 |
transcript.pyannote[344].end |
841.68846875 |
transcript.pyannote[345].speaker |
SPEAKER_06 |
transcript.pyannote[345].start |
839.68034375 |
transcript.pyannote[345].end |
839.96721875 |
transcript.pyannote[346].speaker |
SPEAKER_02 |
transcript.pyannote[346].start |
842.61659375 |
transcript.pyannote[346].end |
844.48971875 |
transcript.pyannote[347].speaker |
SPEAKER_02 |
transcript.pyannote[347].start |
845.38409375 |
transcript.pyannote[347].end |
847.45971875 |
transcript.pyannote[348].speaker |
SPEAKER_02 |
transcript.pyannote[348].start |
848.32034375 |
transcript.pyannote[348].end |
848.69159375 |
transcript.pyannote[349].speaker |
SPEAKER_06 |
transcript.pyannote[349].start |
848.69159375 |
transcript.pyannote[349].end |
848.75909375 |
transcript.pyannote[350].speaker |
SPEAKER_06 |
transcript.pyannote[350].start |
849.23159375 |
transcript.pyannote[350].end |
857.12909375 |
transcript.pyannote[351].speaker |
SPEAKER_04 |
transcript.pyannote[351].start |
856.79159375 |
transcript.pyannote[351].end |
858.85034375 |
transcript.pyannote[352].speaker |
SPEAKER_04 |
transcript.pyannote[352].start |
859.52534375 |
transcript.pyannote[352].end |
860.30159375 |
transcript.pyannote[353].speaker |
SPEAKER_05 |
transcript.pyannote[353].start |
860.30159375 |
transcript.pyannote[353].end |
860.31846875 |
transcript.pyannote[354].speaker |
SPEAKER_02 |
transcript.pyannote[354].start |
870.51096875 |
transcript.pyannote[354].end |
871.94534375 |
transcript.whisperx[0].start |
0.984 |
transcript.whisperx[0].end |
28.46 |
transcript.whisperx[0].text |
監總經理有請彭主委還有監總委員好兩位長官好委員好我想最近這一陣子我們立法院推動的國會改革無法的事情跑出來一個王逸川事件王逸川不是路人甲路人李他是執政黨民進黨的政策會執行長 |
transcript.whisperx[1].start |
30.168 |
transcript.whisperx[1].end |
54.303 |
transcript.whisperx[1].text |
他在節目裡面公開講了那一天幾月幾號來的人跟5月19跟太陽花的人是不一樣的就牽涉到手機的IP定位的問題根據我們的個資法定得很清楚個資法第二條第一款手機的定位資訊是屬於個資 |
transcript.whisperx[2].start |
58.635 |
transcript.whisperx[2].end |
85.103 |
transcript.whisperx[2].text |
中華電信有沒有我這裡圖有一個中華電信5月17號就開進來了5月21號也進來5月24號也進來5月28號也進來每天都進來就在我們青島會館的對面拍得很方便我們就拍得看到按照1月17現在昨天在立法院巡檔的時候管局撇得輕輕的 |
transcript.whisperx[3].start |
86.604 |
transcript.whisperx[3].end |
103.839 |
transcript.whisperx[3].text |
沒有他都沒有介入內政部我都不知道法務部我都要查辦了問題問題民進黨的公職人員在電視台上就講了說這個資料是中華電信提供的我們就問了 |
transcript.whisperx[4].start |
108.576 |
transcript.whisperx[4].end |
109.557 |
transcript.whisperx[4].text |
主席主席主席 |
transcript.whisperx[5].start |
136.316 |
transcript.whisperx[5].end |
150.82 |
transcript.whisperx[5].text |
向委員報告我們仲訓一定要先他發生這個事件的已經發生了他已經發生了把資料各自洩露給民進黨的政治委執行長已經發生了已經發生了這難道不是很大的事情嗎這是醜聞這是等於台灣版的水門事件 |
transcript.whisperx[6].start |
160.522 |
transcript.whisperx[6].end |
171.528 |
transcript.whisperx[6].text |
向委員說明一下就是上市公司他像他這一個你不要跟我講那一堆啦齁我實際上有些你就告訴我這個事件他該不該發訟訊請問你該不該發 |
transcript.whisperx[7].start |
176.251 |
transcript.whisperx[7].end |
196.361 |
transcript.whisperx[7].text |
委員我覺得應該是要有這個管理這個相關的法規的部門確定他違反規定了現在已經法務部他自然在偵查這個事情啊這事情還不嚴重啊查就查中華電信啊我昨天上節目還有一個民進黨公職人員就把中華電信拿出來啊中華電信就中華電信給的資料啊 |
transcript.whisperx[8].start |
205.752 |
transcript.whisperx[8].end |
206.072 |
transcript.whisperx[8].text |
我還想說這個 |
transcript.whisperx[9].start |
234.611 |
transcript.whisperx[9].end |
241.401 |
transcript.whisperx[9].text |
是不是符合我們現在現行規定發布重訓的標準那可不可以那個交易所或是我們副市長跟我們說我們現在發重訓的標準是 |
transcript.whisperx[10].start |
246.025 |
transcript.whisperx[10].end |
271.75 |
transcript.whisperx[10].text |
報告委員那原則上上市櫃公司如果符合最近有新聞媒體報導那我們就是請他們做澄清那另外一個就是委員有提到說他是不是符合我們重訊的那個標準那交易所這邊應該會請這兩家公司做說明然後評估是不是要依照規定發重訊所以你們不敢要求他們發喔這影響到會影響到股價喔影響到股東權利喔 |
transcript.whisperx[11].start |
275.677 |
transcript.whisperx[11].end |
293.444 |
transcript.whisperx[11].text |
因為大家原來發現說我是中華電信的原來我的個資毫無保護啊我的個資隨時都被洩漏啊那不敢買啊這影響到交易啊怎麼沒有呢這麼大的事情怎麼影響啊踩到基礎喔已經新聞燒了幾天了今天平民媒體這麼大的版面在做這個題目他對外新聞稿沒有發 |
transcript.whisperx[12].start |
306.875 |
transcript.whisperx[12].end |
336.056 |
transcript.whisperx[12].text |
在這裡已經雞尾狗跳了昨天國安局、昨天內政部、法務部相關的首長都講話了還要理不理欸ESG可以做這麼吵你們不要處理一下我再釐清一下是不是符合我們要發訟訊的規範我們請交易所去盡速釐清一下什麼時候可以進行?今天可以嗎? |
transcript.whisperx[13].start |
337.185 |
transcript.whisperx[13].end |
340.227 |
transcript.whisperx[13].text |
好歹中華電信要發個新聞稿吧!人家都點名中華電信,我在這裡點名中華電信,他該不發新聞稿嗎? |
transcript.whisperx[14].start |
362.625 |
transcript.whisperx[14].end |
374.911 |
transcript.whisperx[14].text |
昨天跟我上節目一起的民進黨的公司人員那板子給我看啦中國電信都安捏男的都說什麼女的都安捏都安捏都在那邊那這樣東西就代表中國電信洩漏個資阿這是違反個資法 |
transcript.whisperx[15].start |
380.055 |
transcript.whisperx[15].end |
404.521 |
transcript.whisperx[15].text |
最少要求他發新聞稿因應這個事到底王玉川公經的公帝亂講一通還是真的中華電信犯法洩漏各支客戶多少客戶七百萬千萬各支 |
transcript.whisperx[16].start |
408.084 |
transcript.whisperx[16].end |
408.885 |
transcript.whisperx[16].text |
公股運航八位董事長 |
transcript.whisperx[17].start |
444.557 |
transcript.whisperx[17].end |
461.468 |
transcript.whisperx[17].text |
我看今天的題目我們的主席用心良苦所以1月17日他的引言有這個意思意思是做得好貸款條件應該好一點是這個意思吧就這個味道請問巴家董事長 |
transcript.whisperx[18].start |
463.7 |
transcript.whisperx[18].end |
474.886 |
transcript.whisperx[18].text |
你們的放狠條件有沒有針對ESG排行前面的幾家的客戶給他特別的優惠一下比如說利率降個半碼有沒有 有的舉手沒有舉手的嗎1、1、2、3、4、5、6、7 少一家 八家都有齁減半碼的舉手 |
transcript.whisperx[19].start |
492.153 |
transcript.whisperx[19].end |
514.329 |
transcript.whisperx[19].text |
來來來 部長 聽說 或者是 雷董事長 要代表了好不好 理事長來報告委員喔 沒有講那麼多啦 大概兩三個基本點啦兩三個基本點 0.03%萬分之三 萬分之三是吧 兩三個基本點 0.03%就是萬分之三嘛 千分之三萬分之三 |
transcript.whisperx[20].start |
518.44 |
transcript.whisperx[20].end |
530.009 |
transcript.whisperx[20].text |
對,萬分之三沒錯千分之三萬分之三零點零零三對很久了零點零三啦零點零三來,主委啊,一起來好不好,主委主委一起來那個,巴家董事長可以請回了齁巴家董事長告訴我們都有跟ESG有掛鉤但是一點點啦齁 |
transcript.whisperx[21].start |
545.152 |
transcript.whisperx[21].end |
567.569 |
transcript.whisperx[21].text |
這個就是 主委 我就告訴你 還有幾位董事長聽我好了你們ESG發的ETF有9檔了 對吧確定一下沒關係不熱啦 不熱啦 沒有incentive啦主席這個題目排得好 要incentive啦incentive 萬分之二 萬分之三 要一件 |
transcript.whisperx[22].start |
570.703 |
transcript.whisperx[22].end |
586.184 |
transcript.whisperx[22].text |
毫無隱身體吧 主委啊可不可以請問部長啊隱身體double一下啊是不是 最少好歹到千分之一吧萬分之二、萬分之三 太少了難怪人家不理啊做得再好沒用啊 |
transcript.whisperx[23].start |
588.627 |
transcript.whisperx[23].end |
590.229 |
transcript.whisperx[23].text |
政府政策很重要 |
transcript.whisperx[24].start |
603.761 |
transcript.whisperx[24].end |
608.603 |
transcript.whisperx[24].text |
好,同時兩位都聽好啊土銀啊,要給它額漏了因為ESG談到一個減碳的問題它投入碳權的市場 |
transcript.whisperx[25].start |
630.672 |
transcript.whisperx[25].end |
647.572 |
transcript.whisperx[25].text |
瀾桿副部長有一個高效率的冰水主機計劃預估10年減少110萬公噸的攤牌其他公股要不要比照啊 要舉手一下好不好 要不要比照比照一下好不好 其他公股營養董事長土雲做得不錯喔 這個表揚土雲雷董事長被舉手了 |
transcript.whisperx[26].start |
654.264 |
transcript.whisperx[26].end |
654.765 |
transcript.whisperx[26].text |
請問部長你是要冷錢包嗎? |
transcript.whisperx[27].start |
673.291 |
transcript.whisperx[27].end |
673.391 |
transcript.whisperx[27].text |
冷錢包是虛擬資產 |
transcript.whisperx[28].start |
694.315 |
transcript.whisperx[28].end |
707.824 |
transcript.whisperx[28].text |
冷錢包據我所知就是我們現在虛擬資產上面那個就是我們可以大聲一點好不好就是可以收收那個就是可以接收虛擬虛擬資產的帳虛擬資產加起來就是冷錢包你們在5月17號你們有公布一個有一個作業系統就針對冷錢包你們類似管理的一個辦法 |
transcript.whisperx[29].start |
724.417 |
transcript.whisperx[29].end |
751.565 |
transcript.whisperx[29].text |
然後其實大家都知道虛擬貨幣沙瓦都把虛擬貨幣當國幣啊虛擬貨幣如果帶進來它可以放在USB裡面任何的形式一點點一點點你根本查都查不到變成一個洗錢的工具喔好了現在美國捐給我們一支全台灣一支第一支電子產品偵測權能夠秀出冷錢包 |
transcript.whisperx[30].start |
754.671 |
transcript.whisperx[30].end |
768.519 |
transcript.whisperx[30].text |
這個部長你知道這件事情嗎?莊部長知道嗎?他送過我們一支,這個當然不是送給你啦齁,送給警政署的。來,公務署他講話可以啊。我們有沒有這一支?有沒有這一支裙,有沒有?沒有,要不要買?這個走私啊,這個洗錢的。 |
transcript.whisperx[31].start |
778.837 |
transcript.whisperx[31].end |
806.311 |
transcript.whisperx[31].text |
我們有權訊中心我們有權資的這個來源那我們的權沒有辦法修這個這是很unique很unique主委你覺得我們需不需要引進這樣的一個嗅覺冷錢包的權要不要呃我想齁我們站在制度的建立任何有助於比如說防範犯罪健全市場我們都可以來考慮部長我在跟你提醒吶 |
transcript.whisperx[32].start |
807.694 |
transcript.whisperx[32].end |
825.623 |
transcript.whisperx[32].text |
大家計時海關特別是金管會你管的虛擬貨幣是怕洗錢怕洗錢這個就很容易洗錢一個小小的USB你怎麼知道是那個呢只有不可能收嘛全身收我USB就是人錢包 |
transcript.whisperx[33].start |
827.011 |
transcript.whisperx[33].end |
847.099 |
transcript.whisperx[33].text |
有這樣的權是美國送我們一隻去打電話給你們部長謝謝委員的一個提示我們再去進一步的瞭解然後看看盡快喔你去跟警政署聯絡一下問一下這樣的權啦再跟美國要一隻嘛你們海關用阿不然就去買啊我們不是沒有錢 |
transcript.whisperx[34].start |
848.339 |
transcript.whisperx[34].end |
848.459 |
transcript.whisperx[34].text |
國管委員 |