iVOD / 154857

Field Value
影片長度 1855
gazette.lineno 535
gazette.blocks[0][0] 傅委員崐萁:(14時33分)主席,請院長。
gazette.blocks[1][0] 主席:請卓院長備詢。
gazette.blocks[2][0] 卓院長榮泰:傅委員好。
gazette.blocks[3][0] 傅委員崐萁:卓院長好。
gazette.blocks[4][0] 卓院長榮泰:您這陣子公私兩忙,辛苦了。
gazette.blocks[5][0] 傅委員崐萁:自古有云,國有明君,輕賦稅,薄徭役,民胞物與,修養生息,仁民愛物,天地同感。今天賴總統當選就任,應該是國政清明、德澤四方;卓院長帶領國政,應該是繁榮昌盛、國泰民安。院長就任已經4個月了,從520到現在剛好4個月,請問你有沒有民胞物與、感同身受,有沒有看見人民的眼淚?我們看一下,從花蓮地震4月3號到現在,人民的眼淚到今天已經五個多月,5個月又16天,到今天為止,花蓮災民的問題到現在還沒有辦法解決,我們的國家在哪裡?人民的苦難有沒有看見?
gazette.blocks[5][1] 我們看一下這次的大地震,可能卓院長已經遠離太久了,我再讓你複習一下,如同921大地震如此的嚴重,有這麼多的災民在這裡哀號,這麼多的民宅毀損。我們就來比較一下,2018年0206花蓮大地震當時的受災戶是195戶,現在的受災戶是10倍,我想院長已經耳熟能詳了,紅單、黃單戶總共1,949戶,災民五千多人無家可歸,五個多月過去了,現在安身立命依然還是如漂流的浮萍,不知道國家給他們重建到底什麼時候才能夠完成。院長,我相信你到花蓮來勘災的時候是帶著誠意,但是除了誠意以外,是不是還應該要有效率,院長?
gazette.blocks[6][0] 卓院長榮泰:是。
gazette.blocks[7][0] 傅委員崐萁:要有效率,好!到今天為止,花蓮震災的救災到目前為止,這個效率你滿意嗎?
gazette.blocks[8][0] 卓院長榮泰:花蓮的狀況傅委員比任何人都清楚,我記得我們每次到花蓮跟傅委員一起,不管是公開還是私底下的談話,我們都深深為那個地方的狀況感到非常憂慮,這是真的,也謝謝傅委員一再一再的關心。但是光是交通的安全問題,每次大雨一來,我們的交通部就費盡很多心思,我認為我們要長遠來處理這個事情,這是一件。另外,我也知道,現在花蓮旅宿業有很多很多的陳情,包括他們的貸款有問題,包括他們的勞工人力有問題,包括整個產業的振興,但是我也看到有五星級飯店最近要開了,我是非常敬佩這些大飯店能夠在這個時候開,我希望它能夠帶動起大家對花蓮從事觀光活動的一股希望。我也會持續地跟傅委員一起,我們再到花蓮去就當地的現狀做全面的瞭解,關於房屋的修建,大院7月份有做過一個決議,我們在9月16日已經送到國發會,就整個內容跟以往不同的狀況我們有新的解決方法,向委員報告。
gazette.blocks[9][0] 傅委員崐萁:請問院長,要不要遵守國會三黨共同簽署對人民的承諾,院會三讀通過要不要執行?
gazette.blocks[10][0] 卓院長榮泰:立法院監督行政院,對立法院的各項決議我們當然是本著憲法職責充分尊重,執行過程我們會考量更多的因素,但是無論如何都會向立法院就執行面做報告。
gazette.blocks[11][0] 傅委員崐萁:本席再跟你探討一下臺南大地震和花蓮大地震,我們看一下2016年臺南大地震,維冠大樓重建每戶最高400萬元,花蓮大地震是8年以後,紅單戶屋倒每戶重建最多補助30坪、1坪12萬共360萬,面對嚴重的天災,一樣是地震,在臺南和花蓮卻大不同。而且我們再看一下,當時臺南是8年前,花蓮是8年後,這8年發生了什麼事情?花蓮的青年住宅1坪8.47萬決標,而內政部這兩年在花蓮決標的中美好室社會住宅一坪16.96萬決標,然後美崙安居18.34萬決標,一樣的房子,花蓮的青年住宅(縣政府發包的)有國家認證、耐震標章,還得到行政院的磐石獎,已經蓋好了,發包一坪是8.47萬,現在內政部這兩年發包的是16.96萬跟18.34萬,物價漲了一倍多。2016年臺南一戶是補助400萬,今年花蓮一戶是補助360萬,所以立法院7月16號所通過的主決議是希望能夠把災民的重建迅速來完成,因為我們黃單戶修建的部分、整建的部分補助八成五,但是紅單戶屋倒了、要拆了,到現在還沒有一個能夠讓他們安身立命的清楚方式,所以由立法院三黨共同簽署補助八成五,即現在興建成本的八成五,而且就很簡單,內政部自己在花蓮的中美好室社會住宅、美崙安居社會住宅,現在是一坪18萬4,000塊,補助八成五,儘快讓人民安身立命的事能夠解決。
gazette.blocks[11][1] 本席再強調一下,從4月3號到現在已經五個多月了,院長,據聞本席追內政部之後,內政部在9月11號發文到行政院,希望行政院趕快就相關的辦法來核定,院長什麼時候可以核定?
gazette.blocks[12][0] 卓院長榮泰:剛剛跟委員報告,我們在9月16號已經經由國發會……現在在審議當中,我們會儘速的……
gazette.blocks[13][0] 傅委員崐萁:儘速是什麼時候?
gazette.blocks[14][0] 卓院長榮泰:我看國發會安排的時程,不會讓委員失望,不會讓花蓮的鄉親失望。
gazette.blocks[15][0] 傅委員崐萁:是面對災民欸!是面對災民欸!
gazette.blocks[16][0] 卓院長榮泰:不會讓花蓮的鄉親失望。
gazette.blocks[17][0] 傅委員崐萁:是什麼時候?什麼時候?
gazette.blocks[18][0] 卓院長榮泰:我們請國發會來看它議程的安排。
gazette.blocks[19][0] 劉主任委員鏡清:報告委員,我們在9月16號收到文之後,9月18號函相關部會請他們給予意見,我們在下禮拜會親自召開會議,希望在一週內可以有一個回復的意見回來。
gazette.blocks[20][0] 傅委員崐萁:院長,本席讓你看一下,2018年2月6號花蓮的大地震,4月26號花蓮縣政府重建的安心宅就動工了,經過所有災民的協調、所有社會慈善資源的募集、中央政府的支持,加災民的溝通、加上全國的招商,再公開說明會、再規劃、設計、發包,然後動工,兩個月二十天,2018年2月6號的地震,2018年4月26號縣政府就動工了,一年多、兩年完工,抗八級地震,有耐震標章,又是綠建築。本席在這裡請教,現在已經五個多月了,還要經過立法院三黨共識達成主決議、院會通過,現在還在等行政院,有沒有感同身受、民胞物與?
gazette.blocks[21][0] 卓院長榮泰:當然有。
gazette.blocks[22][0] 傅委員崐萁:本席今天聽到你說了,謝謝院長說你會儘快,本席在等,看您什麼時候能夠落實立法院的主決議,讓這些災民不是有政府的承諾補助以後,還要開說明會、還要開重建會議、還要去招商、還要去發包、還要等到動工,動工以後還要等到完工,而且這一次不是以前的12樓,這次都是15樓、16樓密集的集合式高層住宅,這個重建之路非常漫長,所以院長,本席相信,再一次講,您擔任閣揆應該是繁榮昌盛、國泰民安,民眾的苦難、民眾的眼淚、人民的眼淚,政府的大官到底有沒有看見、有沒有感同身受?本席就恭候看院會什麼時候核定,到底我們還要等多久?
gazette.blocks[22][1] 再過來,這次地震的災民不只是這些受災戶,我們還有這麼多的產業,包括觀光、包括農業,花東的人民還在走這種道路。本席跟你介紹一下,現在的蘇花公路在清朝叫做蘇花古道,在日據時代叫做臨海道路,現在全國大概只有花東人民還比照孟加拉人民,我們是一個已開發國家,一個國家還有兩種人民,我們還在走百年前的蘇花古道,下個雨就坍掉,不是路坍而已,連鐵路也停了。請問一下院長,今年到現在,你知道花蓮成為孤島幾次了?院長。
gazette.blocks[23][0] 卓院長榮泰:報告委員,這是我們共同關切的問題,我也跟委員說明……
gazette.blocks[24][0] 傅委員崐萁:我們現在成為孤島幾次了?
gazette.blocks[25][0] 卓院長榮泰:每次大雨來,它就會交通中斷,甚至我們在臺北感受不到的時候……
gazette.blocks[26][0] 傅委員崐萁:院長,你不曉得,本席提醒你一下,地震後到今天,有8次的鐵公路中斷,花蓮成為孤島8次,這是臺灣這塊土地上的人民,連大陸的三級城市都不如,8次鐵公路中斷,花蓮成為孤島。請問一下,我們說好的這些告警系統,從馬政府時代就通過的預算,這8年來執行到現在,我們的告警系統一直在出包,我們的告警系統、我們的攔石網到底在哪裡?怎麼樣能夠把這些石頭攔住?怎麼樣能夠疏解?請問一下,院長,最基本的攔石網什麼時候可以做好?
gazette.blocks[27][0] 卓院長榮泰:跟委員報告,我們跟大自然的競爭就是這個樣子,要跟它和平相處,所以每次交通中斷,我們就啟動海運、啟動空運,我們也拜託民航的業者……
gazette.blocks[28][0] 傅委員崐萁:那個待會再講。
gazette.blocks[29][0] 卓院長榮泰:從上次我們發覺鐵路的告警系統不足,我們也已經要求鐵路局要全面加強。
gazette.blocks[30][0] 傅委員崐萁:院長,什麼叫攔石系統,你看一下,這是最簡單的,到底這條路什麼時候可以讓人民安全回家?
gazette.blocks[31][0] 卓院長榮泰:委員,我跟你說,我跟你報告,我在當地,我們在開現場說明的時候,這個路就是這樣子,它石頭還在下來,我非常清楚,包括居民、鄉民,包括工程人員的安全的問題,我跟你一樣感同身受,至於工程怎麼樣進行、怎麼樣完成……
gazette.blocks[32][0] 傅委員崐萁:院長……
gazette.blocks[33][0] 卓院長榮泰:是不是容許我們新的交通部長陳部長跟你說明一下他的了解?
gazette.blocks[34][0] 傅委員崐萁:等一下,待會會輪到他,不要急。現在是這樣子,院長,這是一個最基本的攔石網,對公路也好、對鐵路,現在本席都沒有講到說明隧道還是傾斜鋼板,現在一個最基本的攔石網,至少你整條路什麼地方、會坍下來的地方,如果公路總局不知道、交通部不知道……
gazette.blocks[35][0] 陳部長世凱:報告委員,這個我們都知道、地方都知道……
gazette.blocks[36][0] 傅委員崐萁:那個就是完全跟人民是脫節的,既然……
gazette.blocks[37][0] 陳部長世凱:地點我們都知道,正在進行……
gazette.blocks[38][0] 傅委員崐萁:很好,交通部如果知道的話,請告訴人民,這些地方你要怎麼做,計畫要馬上出來。
gazette.blocks[39][0] 陳部長世凱:報告委員,那個地方的災情……
gazette.blocks[40][0] 傅委員崐萁:你可以先送給本席,今天本席沒有要問你。
gazette.blocks[41][0] 陳部長世凱:好,謝謝。
gazette.blocks[42][0] 傅委員崐萁:告警系統做了這麼多年到現在,我們看一下,鐵路又出軌,告警系統竟然還會讓鐵路出軌,本席要再讓你了解一下,院長,為什麼我們要這麼沉重來討論這個問題?人民要怎麼活下去?我們的觀光做成什麼樣子?花蓮就兩大產業,第一個叫觀光產業,第二個叫做農業。觀光產業現在我們暑假住房率5%,因為路又斷了。
gazette.blocks[43][0] 陳部長世凱:報告委員,交通部其實很努力在補助啦!
gazette.blocks[44][0] 傅委員崐萁:最慘的暑假!最慘的暑假!5%!院長,您可能還沒有進入狀況,本席再說明一次,這個5%代表什麼意思?暑假應該是百分之百住房的,現在5%是什麼意思?花蓮的觀光產業,現在待售的民宿、要sell的民宿將近一千家,請問員工的薪水要不要付?請問銀行的貸款要不要付?這是系統性的風暴,都要發生。
gazette.blocks[45][0] 卓院長榮泰:我剛剛在施政報告都有提到這兩部分。
gazette.blocks[46][0] 傅委員崐萁:但是我們沒有看到具體的作為而且有效的作為,今天政府不是說我有做,而是你做得有沒有效,國家龐大的資源都在你手上,做得有沒有效、能不能夠把災民救出來,這才是重點,你不能說我有做啊!但是做不到啊!
gazette.blocks[47][0] 卓院長榮泰:沒有做到更快、更多、更好,我當然願意全力的來檢討,但我們是全力在做,但是有很多自然的狀況,很阻礙我們各種的進展……
gazette.blocks[48][0] 傅委員崐萁:你剛剛說自然的狀況,好!我們現在講我們現有的狀況,這不是大自然因素造成的,我們看一下現在臺北─花蓮的班機,請問一下院長,你們到底是把花蓮看作一個什麼樣的地方?一個觀光的城市,過去到2016年,臺北─花蓮一年2,600班次,現在兩百多班,花蓮機場是全國最漂亮的機場,在那邊養蚊子,我們的交通部是睡著了嗎?
gazette.blocks[49][0] 卓院長榮泰:報告委員,陳部長已經解決……要解決這個問題了,他有方法、有時程……
gazette.blocks[50][0] 傅委員崐萁:兩千六百多班有沒有解決?你找時間再來跟我說明。
gazette.blocks[51][0] 陳部長世凱:委員,我那天跟你通電話之後……
gazette.blocks[52][0] 傅委員崐萁:我今天是問院長。
gazette.blocks[53][0] 陳部長世凱:您交代之後,我就馬上處理,跟院長報告過了。
gazette.blocks[54][0] 傅委員崐萁:我是把現在的數字讓你知道。
gazette.blocks[55][0] 陳部長世凱:是。
gazette.blocks[56][0] 卓院長榮泰:好的,謝謝。
gazette.blocks[57][0] 傅委員崐萁:2,600班到2016年,民進黨執政八年以後剩200班,一個這麼漂亮的城市變成200班。再過來,你們到底有沒有用國家的資源去疼惜這個地方?為什麼航空公司都在賺錢,EPS一年3塊、4塊、5塊,為什麼黃金航線沒有去綁國內應該有的責任線?因為這個航線是要養的,你把它養起來,未來它長大就不用你再養。
gazette.blocks[58][0] 卓院長榮泰:報告委員,陳部長有這個計畫,已經在著手實施了。
gazette.blocks[59][0] 傅委員崐萁:臺灣……
gazette.blocks[60][0] 陳部長世凱:我們將會有定期航班,禮拜一到禮拜天都會有。
gazette.blocks[61][0] 傅委員崐萁:本席很高興你這麼說。
gazette.blocks[62][0] 陳部長世凱:委員也很關心。
gazette.blocks[63][0] 傅委員崐萁:本席很高興你這麼說,但是我們再看一下海運。臺灣四周環海,竟然沒有一個比較明確的藍色公路可以繞著這麼漂亮的臺灣島,讓全世界的觀光客可以來臺灣看一下臺灣島有多美,麗娜輪在2016年都還有201班,到2021年就不玩了,政府沒有關心、沒有救助、沒有支持,一個這麼美麗的臺灣就在太平洋濱,竟然一個沿海的、繞島的藍色公路都沒有,這個就是我們的政府、大有為的政府,本席現在明確在國會殿堂正式跟院長討論這個事情,也正式告知,以後不要說你不知道,現在已經講過了。
gazette.blocks[64][0] 卓院長榮泰:交通部已經在計畫這個事情了……
gazette.blocks[65][0] 傅委員崐萁:接下來……
gazette.blocks[66][0] 卓院長榮泰:再跟委員說明。
gazette.blocks[67][0] 傅委員崐萁:好,謝謝,接下來怎麼做就多多拜託。
gazette.blocks[67][1] 我們看一下千萬的觀光大國,臺灣人民這麼善良,明明我們可以好好地做一個臺灣的觀光城市。現在本席是國民黨團總召集人,連要個資料你們都不敢給,觀光署現在不敢給。現在外客來臺的總觀光支出是多少?1到7月要不到資料,他們不給……
gazette.blocks[68][0] 陳部長世凱:報告委員,目前已經超過500萬。
gazette.blocks[69][0] 傅委員崐萁:超過500萬?
gazette.blocks[70][0] 陳部長世凱:已經超過500萬。
gazette.blocks[71][0] 傅委員崐萁:超過500萬,很好,了不起!我們看一下……
gazette.blocks[72][0] 陳部長世凱:不夠好、不夠好,要努力。
gazette.blocks[73][0] 傅委員崐萁:我們看一下這兩年亞洲我們周邊國家是怎麼樣,看一下2023年,臺灣648萬、香港3,400萬、泰國2,800萬、日本2,500萬、馬來西亞2,014萬、這麼彈丸之地的新加坡1,360萬、越南1,260萬、韓國1,100萬。臺灣648萬,我們的行政部門都生病了,臺灣有哪裡不好?臺灣比不上越南、比不上泰國、比不上新加坡、比不上馬來西亞、比不上韓國,這是我們的臺灣。好,這不用解釋,因為數字說明一切,這還是觀光署自己給的數字。
gazette.blocks[73][1] 我們就舉一個很簡單的,很高檔的、全世界都有的Club Med,在全世界有70個點,臺灣竟然沒有,一個Club Med都沒有,一個點都沒有,世界高檔的消費群來了,連一個基本像樣的國際級度假村臺灣都沒有。我們再看一下,連日本的石垣島,一個島只有四萬多人都有Club Med,4萬人的石垣島都有,而臺灣2,350萬人,所以我們的觀光在這8年到底做了什麼?我想院長我們還有很多可以切磋的機會,所以本席今天真的是非常誠意地一一來跟院長就教,也讓院長能夠知道這個過程。
gazette.blocks[73][2] 我們再看一下,陳部長,我相信您未來的表現可能有機會做得不錯……
gazette.blocks[74][0] 陳部長世凱:謝謝委員。
gazette.blocks[75][0] 傅委員崐萁:但是我們還是要來看一下,到底新政府是用人唯親,還是用人唯才?我們從2016年開始看交通部長,賀陳旦先生少說也是土木工程,也當過交通局的局長;吳宏謀先生至少是環境工程的博士;林佳龍先生是耶魯的碩士、博士,至少他還當過臺中市的市長;再過來是王國材先生,他至少是交大運研所的博士,也當過高雄市政府的交通局長;李孟諺部長至少是荷蘭水利工程,有工程方面的專業,也當過臺南市政府水利局長;現在的陳世凱部長,一路是東海大學政治系、政治研究所、臺中市議員。交通多麼需要專業跟經驗,我們國家多麼重要的一個部會,你們用人了不起、很大膽……
gazette.blocks[76][0] 陳部長世凱:報告委員,可以讓我說明嗎?
gazette.blocks[77][0] 傅委員崐萁:把過去用人的規範完全打破……
gazette.blocks[78][0] 陳部長世凱:過去……我可以報告嗎?
gazette.blocks[79][0] 傅委員崐萁:本席沒有干涉卓院長的用人權,我們現在是尊重,但是我們睜大眼睛來看,下次可能就不是這樣,我們尊重你的用人權,但是你用人有沒有真正的專業?本席在這裡要先送你一張……
gazette.blocks[80][0] 卓院長榮泰:報告委員一句話,從剛剛部長的幾句答話,你也知道他非常地深入……
gazette.blocks[81][0] 傅委員崐萁:我去搭火車……
gazette.blocks[82][0] 卓院長榮泰:他非常地努力在瞭解所有的交通狀況。
gazette.blocks[83][0] 傅委員崐萁:2024年9月8號本席上了火車,已經上了火車,然後通知我說路又斷了,所以要請我下車,我們所有列車上的人通通下車了,然後花蓮火車站像難民營一樣,一堆人趕著退票、一堆人趕著不曉得怎麼樣離開花蓮,這些觀光客。來,本席送給你一下。本席再跟您探討一下,現在我們有三兆多的預算,今年比去年超編了很多,增加兩千八百多億,雖然我們還有很多機會碰面,但是本席還是要提醒你一下,提醒院長一下,這個廣宣費用、大內宣,就像2758號決議一樣,臺灣躲在自己的門裡面在玩大內宣,本席這樣子問啦,到底為什麼大內宣要多65.4%?院長可能要準備好說明為什麼要多這麼多錢;還有打詐說要有打詐生態系,哇!這不得了,這名字取得好,打詐生態系要73億,2022年蔡總統、蔡政府執政時打詐國家隊是14億,2023年打詐專責辦公室是13億,賴政府打詐生態系要73億!這是院長您宣布的,本席還不了解,但是看一下法務部的官網,關於我們現在詐騙的情況,108年詐騙案有3萬4,947件,到去年是22萬9,000件,這不得了,6倍啊!真的是了不起!越打越詐,錢越花越多,越打越詐,本席希望院長要斟酌。
gazette.blocks[83][1] 我們看一下台電,現在台電在我們賴政府下面到底會變成什麼樣的一個狀況?就看今年跟去年,去年的負債是2兆3,311億,今年負債2兆4,979億,多了1,600億,好,資本額膨脹了1,000億,因為政府拿錢給它,累積虧損4,349億,到底台電怎麼樣才不會倒?就是能源政策,我們一定會安排一個能源政策專報,讓院長到立法院來跟全國國人說清楚。我們看一下,三兆多的總預算,9,000億白花了,打水漂,2兆風力發電的大餅,國產化風力發電跳票,多了價差9,000億,多給人家9,000億,現在沒有了。
gazette.blocks[84][0] 卓院長榮泰:委員,9,000億不是用在今年,那是好幾年的預算。
gazette.blocks[85][0] 傅委員崐萁:這是政府的合約,院長。
gazette.blocks[86][0] 卓院長榮泰:不要把9,000億跟3兆混在一起,這是連續預算。
gazette.blocks[87][0] 傅委員崐萁:政府的合約多花了9,000億。再過來……
gazette.blocks[88][0] 卓院長榮泰:這是從111年開始,不是今年編列9,000億,這個我們再度的說明都……
gazette.blocks[89][0] 傅委員崐萁:賴總統不只是那個9,000億,還有後面這一題,現在不得了啊,賴總統協助企業淨零轉型又要再9,000億,哇!這不得了啊!「光電錢坑政策!圖利光電廠商?」院長,今年我們還有很多次見面的機會,我們會嚴格地監督。
gazette.blocks[90][0] 卓院長榮泰:容許我清楚地跟大院說明。
gazette.blocks[91][0] 傅委員崐萁:還有至少4次的專報,我們會跟你長相左右。
gazette.blocks[92][0] 卓院長榮泰:謝謝你給我這個機會。
gazette.blocks[93][0] 傅委員崐萁:院長,這完全沒有辦法迴避,都必須要面對全國國人,而且必須回答問題。
gazette.blocks[94][0] 卓院長榮泰:好,謝謝委員。
gazette.blocks[95][0] 傅委員崐萁:好不好?
gazette.blocks[96][0] 卓院長榮泰:謝謝委員。
gazette.blocks[97][0] 主席:好,謝謝傅委員,謝謝卓院長。
gazette.blocks[97][1] 接下來我們請黃國昌委員質詢。
gazette.agenda.page_end 15
gazette.agenda.meet_id 院會-11-2-1
gazette.agenda.speakers[0] 韓國瑜
gazette.agenda.speakers[1] 江啟臣
gazette.agenda.speakers[2] 高金素梅
gazette.agenda.page_start 7
gazette.agenda.meetingDate[0] 2024-09-20
gazette.agenda.gazette_id 1137501
gazette.agenda.agenda_lcidc_ids[0] 1137501_00002
gazette.agenda.meet_name 立法院第11屆第2會期第1次會議紀錄
gazette.agenda.content 報告事項
gazette.agenda.agenda_id 1137501_00001
委員名稱 傅崐萁
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/bd92ad92936238b0d1e1bbfdd2e1106447607cafce7c84e8d454bccd9e819cab71cc9cb49be985c85ea18f28b6918d91.mp4/playlist.m3u8
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 11.10096875
transcript.pyannote[0].end 12.26534375
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 12.26534375
transcript.pyannote[1].end 12.60284375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 12.60284375
transcript.pyannote[2].end 12.63659375
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 12.63659375
transcript.pyannote[3].end 12.72096875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 12.72096875
transcript.pyannote[4].end 12.92346875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 13.41284375
transcript.pyannote[5].end 13.80096875
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 15.43784375
transcript.pyannote[6].end 17.56409375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 29.03909375
transcript.pyannote[7].end 29.89971875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 30.30471875
transcript.pyannote[8].end 32.46471875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 31.19909375
transcript.pyannote[9].end 31.87409375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 34.89471875
transcript.pyannote[10].end 36.32909375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 37.69596875
transcript.pyannote[11].end 38.84346875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 39.82221875
transcript.pyannote[12].end 40.83471875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 41.59409375
transcript.pyannote[13].end 42.35346875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 44.24346875
transcript.pyannote[14].end 46.85909375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 48.46221875
transcript.pyannote[15].end 49.55909375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 49.64346875
transcript.pyannote[16].end 51.04409375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 53.05221875
transcript.pyannote[17].end 54.26721875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 56.24159375
transcript.pyannote[18].end 57.25409375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 58.40159375
transcript.pyannote[19].end 59.22846875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 59.63346875
transcript.pyannote[20].end 61.27034375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 62.94096875
transcript.pyannote[21].end 64.29096875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 66.07971875
transcript.pyannote[22].end 66.78846875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 67.26096875
transcript.pyannote[23].end 68.08784375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 69.15096875
transcript.pyannote[24].end 71.22659375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 72.50909375
transcript.pyannote[25].end 73.48784375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 76.52534375
transcript.pyannote[26].end 80.87909375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 82.24596875
transcript.pyannote[27].end 82.85346875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 83.27534375
transcript.pyannote[28].end 84.33846875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 84.81096875
transcript.pyannote[29].end 85.97534375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 87.29159375
transcript.pyannote[30].end 88.75971875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 89.24909375
transcript.pyannote[31].end 90.44721875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 91.45971875
transcript.pyannote[32].end 92.25284375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 96.91034375
transcript.pyannote[33].end 101.04471875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 102.22596875
transcript.pyannote[34].end 103.40721875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 104.87534375
transcript.pyannote[35].end 105.61784375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 108.16596875
transcript.pyannote[36].end 108.80721875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 109.92096875
transcript.pyannote[37].end 110.73096875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 111.23721875
transcript.pyannote[38].end 111.92909375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 112.94159375
transcript.pyannote[39].end 113.78534375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 115.60784375
transcript.pyannote[40].end 116.80596875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 118.51034375
transcript.pyannote[41].end 119.65784375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 120.60284375
transcript.pyannote[42].end 122.66159375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 124.14659375
transcript.pyannote[43].end 125.39534375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 126.93096875
transcript.pyannote[44].end 128.02784375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 128.85471875
transcript.pyannote[45].end 129.79971875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 131.77409375
transcript.pyannote[46].end 132.61784375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 133.49534375
transcript.pyannote[47].end 134.50784375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 135.89159375
transcript.pyannote[48].end 136.54971875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 137.20784375
transcript.pyannote[49].end 138.42284375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 139.28346875
transcript.pyannote[50].end 140.81909375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 141.39284375
transcript.pyannote[51].end 142.81034375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 145.83096875
transcript.pyannote[52].end 147.61971875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 148.53096875
transcript.pyannote[53].end 149.67846875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 151.34909375
transcript.pyannote[54].end 152.56409375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 154.45409375
transcript.pyannote[55].end 155.51721875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 156.78284375
transcript.pyannote[56].end 158.21721875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 159.75284375
transcript.pyannote[57].end 160.86659375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 163.09409375
transcript.pyannote[58].end 163.66784375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 166.01346875
transcript.pyannote[59].end 167.54909375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 168.12284375
transcript.pyannote[60].end 169.06784375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 170.41784375
transcript.pyannote[61].end 171.21096875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 172.13909375
transcript.pyannote[62].end 174.14721875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 176.12159375
transcript.pyannote[63].end 178.21409375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 180.66096875
transcript.pyannote[64].end 183.10784375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 183.63096875
transcript.pyannote[65].end 184.67721875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 185.20034375
transcript.pyannote[66].end 186.93846875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 187.52909375
transcript.pyannote[67].end 189.53721875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 190.49909375
transcript.pyannote[68].end 191.66346875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 192.49034375
transcript.pyannote[69].end 193.63784375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 194.66721875
transcript.pyannote[70].end 195.67971875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 197.77221875
transcript.pyannote[71].end 199.54409375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 199.79721875
transcript.pyannote[72].end 200.89409375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 201.34971875
transcript.pyannote[73].end 202.61534375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 203.61096875
transcript.pyannote[74].end 206.20971875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 207.45846875
transcript.pyannote[75].end 207.89721875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 209.88846875
transcript.pyannote[76].end 212.92596875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 213.95534375
transcript.pyannote[77].end 215.38971875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 215.94659375
transcript.pyannote[78].end 217.48221875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 219.81096875
transcript.pyannote[79].end 220.19909375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 220.48596875
transcript.pyannote[80].end 220.80659375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 223.97909375
transcript.pyannote[81].end 224.68784375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 225.66659375
transcript.pyannote[82].end 228.70409375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 229.26096875
transcript.pyannote[83].end 230.44221875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 232.60221875
transcript.pyannote[84].end 232.63596875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 232.63596875
transcript.pyannote[85].end 233.37846875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 233.61471875
transcript.pyannote[86].end 233.63159375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 233.63159375
transcript.pyannote[87].end 234.18846875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 234.99846875
transcript.pyannote[88].end 236.55096875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 237.47909375
transcript.pyannote[89].end 238.89659375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 239.62221875
transcript.pyannote[90].end 242.50784375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 242.87909375
transcript.pyannote[91].end 245.39346875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 246.06846875
transcript.pyannote[92].end 248.09346875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 248.24534375
transcript.pyannote[93].end 250.52346875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 251.26596875
transcript.pyannote[94].end 253.13909375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 253.49346875
transcript.pyannote[95].end 255.38346875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 256.07534375
transcript.pyannote[96].end 258.42096875
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 259.16346875
transcript.pyannote[97].end 262.20096875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 262.75784375
transcript.pyannote[98].end 265.27221875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 265.96409375
transcript.pyannote[99].end 267.44909375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 268.07346875
transcript.pyannote[100].end 269.57534375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 269.82846875
transcript.pyannote[101].end 271.92096875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 272.27534375
transcript.pyannote[102].end 273.54096875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 273.82784375
transcript.pyannote[103].end 274.80659375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 275.16096875
transcript.pyannote[104].end 275.43096875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 275.70096875
transcript.pyannote[105].end 276.74721875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 276.98346875
transcript.pyannote[106].end 277.97909375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 278.53596875
transcript.pyannote[107].end 279.61596875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 280.08846875
transcript.pyannote[108].end 281.53971875
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 281.94471875
transcript.pyannote[109].end 283.34534375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 283.83471875
transcript.pyannote[110].end 286.41659375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 286.70346875
transcript.pyannote[111].end 287.44596875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 287.83409375
transcript.pyannote[112].end 291.37784375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 291.96846875
transcript.pyannote[113].end 293.04846875
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 293.31846875
transcript.pyannote[114].end 294.17909375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 294.60096875
transcript.pyannote[115].end 295.25909375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 295.57971875
transcript.pyannote[116].end 296.44034375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 296.96346875
transcript.pyannote[117].end 297.57096875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 298.24596875
transcript.pyannote[118].end 299.35971875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 299.57909375
transcript.pyannote[119].end 302.53221875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 302.61659375
transcript.pyannote[120].end 304.20284375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 304.64159375
transcript.pyannote[121].end 308.50596875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 309.24846875
transcript.pyannote[122].end 309.34971875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 309.34971875
transcript.pyannote[123].end 309.87284375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 309.87284375
transcript.pyannote[124].end 309.88971875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 310.22721875
transcript.pyannote[125].end 311.03721875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 312.10034375
transcript.pyannote[126].end 313.95659375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 314.46284375
transcript.pyannote[127].end 316.63971875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 317.34846875
transcript.pyannote[128].end 318.61409375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 319.22159375
transcript.pyannote[129].end 321.16221875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 322.03971875
transcript.pyannote[130].end 322.36034375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 323.67659375
transcript.pyannote[131].end 323.69346875
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 323.69346875
transcript.pyannote[132].end 325.29659375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 325.68471875
transcript.pyannote[133].end 327.57471875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 328.09784375
transcript.pyannote[134].end 330.05534375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 330.91596875
transcript.pyannote[135].end 331.77659375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 332.40096875
transcript.pyannote[136].end 334.25721875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 334.59471875
transcript.pyannote[137].end 335.52284375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 335.60721875
transcript.pyannote[138].end 337.36221875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 337.98659375
transcript.pyannote[139].end 339.15096875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 339.62346875
transcript.pyannote[140].end 339.85971875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 340.83846875
transcript.pyannote[141].end 342.54284375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 343.33596875
transcript.pyannote[142].end 344.31471875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 345.36096875
transcript.pyannote[143].end 346.66034375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 347.40284375
transcript.pyannote[144].end 347.95971875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 349.19159375
transcript.pyannote[145].end 350.37284375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 350.96346875
transcript.pyannote[146].end 351.89159375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 353.00534375
transcript.pyannote[147].end 354.50721875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 353.56221875
transcript.pyannote[148].end 353.69721875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 355.26659375
transcript.pyannote[149].end 357.17346875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 358.00034375
transcript.pyannote[150].end 359.67096875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 361.18971875
transcript.pyannote[151].end 362.35409375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 363.53534375
transcript.pyannote[152].end 365.20596875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 367.45034375
transcript.pyannote[153].end 371.48346875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 372.47909375
transcript.pyannote[154].end 373.22159375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 373.79534375
transcript.pyannote[155].end 375.68534375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 376.32659375
transcript.pyannote[156].end 378.43596875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 379.48221875
transcript.pyannote[157].end 380.12346875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 380.64659375
transcript.pyannote[158].end 381.22034375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 381.94596875
transcript.pyannote[159].end 382.80659375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 385.72596875
transcript.pyannote[160].end 386.31659375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 387.73409375
transcript.pyannote[161].end 388.42596875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 390.77159375
transcript.pyannote[162].end 391.00784375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 391.90221875
transcript.pyannote[163].end 392.47596875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 392.67846875
transcript.pyannote[164].end 393.30284375
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 394.48409375
transcript.pyannote[165].end 395.56409375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 396.30659375
transcript.pyannote[166].end 396.81284375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 397.67346875
transcript.pyannote[167].end 398.46659375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 398.97284375
transcript.pyannote[168].end 400.71096875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 404.50784375
transcript.pyannote[169].end 405.75659375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 406.39784375
transcript.pyannote[170].end 406.90409375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 407.46096875
transcript.pyannote[171].end 408.06846875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 409.67159375
transcript.pyannote[172].end 410.48159375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 411.02159375
transcript.pyannote[173].end 411.73034375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 412.37159375
transcript.pyannote[174].end 413.83971875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 416.05034375
transcript.pyannote[175].end 416.52284375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 417.63659375
transcript.pyannote[176].end 419.25659375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 421.14659375
transcript.pyannote[177].end 422.32784375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 423.12096875
transcript.pyannote[178].end 425.21346875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 425.46659375
transcript.pyannote[179].end 427.67721875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 428.92596875
transcript.pyannote[180].end 434.15721875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 434.84909375
transcript.pyannote[181].end 437.27909375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 437.97096875
transcript.pyannote[182].end 438.57846875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 439.42221875
transcript.pyannote[183].end 440.70471875
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 441.32909375
transcript.pyannote[184].end 442.49346875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 442.84784375
transcript.pyannote[185].end 444.56909375
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 445.78409375
transcript.pyannote[186].end 446.45909375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 446.99909375
transcript.pyannote[187].end 448.83846875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 450.17159375
transcript.pyannote[188].end 451.55534375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 451.92659375
transcript.pyannote[189].end 455.33534375
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 456.70221875
transcript.pyannote[190].end 458.52471875
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 459.62159375
transcript.pyannote[191].end 460.60034375
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 461.88284375
transcript.pyannote[192].end 463.62096875
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 464.54909375
transcript.pyannote[193].end 465.89909375
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 466.42221875
transcript.pyannote[194].end 468.83534375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 469.34159375
transcript.pyannote[195].end 470.20221875
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 471.01221875
transcript.pyannote[196].end 471.68721875
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 472.17659375
transcript.pyannote[197].end 473.39159375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 474.35346875
transcript.pyannote[198].end 475.31534375
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 477.89721875
transcript.pyannote[199].end 479.36534375
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 479.97284375
transcript.pyannote[200].end 480.52971875
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 482.21721875
transcript.pyannote[201].end 482.92596875
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 483.26346875
transcript.pyannote[202].end 484.86659375
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 485.23784375
transcript.pyannote[203].end 486.75659375
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 488.64659375
transcript.pyannote[204].end 488.91659375
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 489.60846875
transcript.pyannote[205].end 491.17784375
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 491.75159375
transcript.pyannote[206].end 492.88221875
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 493.42221875
transcript.pyannote[207].end 494.43471875
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 495.80159375
transcript.pyannote[208].end 497.06721875
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 497.86034375
transcript.pyannote[209].end 499.17659375
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 499.34534375
transcript.pyannote[210].end 500.32409375
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 501.06659375
transcript.pyannote[211].end 502.01159375
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 503.66534375
transcript.pyannote[212].end 505.11659375
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 505.38659375
transcript.pyannote[213].end 506.55096875
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 507.00659375
transcript.pyannote[214].end 508.30596875
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 508.69409375
transcript.pyannote[215].end 509.95971875
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 510.26346875
transcript.pyannote[216].end 512.69346875
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 513.40221875
transcript.pyannote[217].end 514.29659375
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 515.00534375
transcript.pyannote[218].end 516.72659375
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 517.01346875
transcript.pyannote[219].end 518.31284375
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 518.53221875
transcript.pyannote[220].end 521.21534375
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 521.99159375
transcript.pyannote[221].end 525.18096875
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 525.95721875
transcript.pyannote[222].end 527.07096875
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 528.06659375
transcript.pyannote[223].end 529.63596875
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 530.63159375
transcript.pyannote[224].end 532.90971875
transcript.pyannote[225].speaker SPEAKER_01
transcript.pyannote[225].start 533.85471875
transcript.pyannote[225].end 537.02721875
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 537.71909375
transcript.pyannote[226].end 539.33909375
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 541.12784375
transcript.pyannote[227].end 542.19096875
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 542.81534375
transcript.pyannote[228].end 543.30471875
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 545.05971875
transcript.pyannote[229].end 545.93721875
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 546.93284375
transcript.pyannote[230].end 548.97471875
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 549.80159375
transcript.pyannote[231].end 551.92784375
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 552.45096875
transcript.pyannote[232].end 553.29471875
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 554.35784375
transcript.pyannote[233].end 557.98596875
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 558.61034375
transcript.pyannote[234].end 559.77471875
transcript.pyannote[235].speaker SPEAKER_02
transcript.pyannote[235].start 560.51721875
transcript.pyannote[235].end 562.94721875
transcript.pyannote[236].speaker SPEAKER_02
transcript.pyannote[236].start 563.31846875
transcript.pyannote[236].end 566.00159375
transcript.pyannote[237].speaker SPEAKER_02
transcript.pyannote[237].start 566.11971875
transcript.pyannote[237].end 567.16596875
transcript.pyannote[238].speaker SPEAKER_02
transcript.pyannote[238].start 567.35159375
transcript.pyannote[238].end 568.41471875
transcript.pyannote[239].speaker SPEAKER_02
transcript.pyannote[239].start 568.83659375
transcript.pyannote[239].end 570.00096875
transcript.pyannote[240].speaker SPEAKER_03
transcript.pyannote[240].start 568.95471875
transcript.pyannote[240].end 568.98846875
transcript.pyannote[241].speaker SPEAKER_01
transcript.pyannote[241].start 568.98846875
transcript.pyannote[241].end 569.68034375
transcript.pyannote[242].speaker SPEAKER_03
transcript.pyannote[242].start 569.68034375
transcript.pyannote[242].end 569.73096875
transcript.pyannote[243].speaker SPEAKER_02
transcript.pyannote[243].start 570.20346875
transcript.pyannote[243].end 574.27034375
transcript.pyannote[244].speaker SPEAKER_01
transcript.pyannote[244].start 574.27034375
transcript.pyannote[244].end 576.32909375
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 574.97909375
transcript.pyannote[245].end 577.15596875
transcript.pyannote[246].speaker SPEAKER_01
transcript.pyannote[246].start 576.66659375
transcript.pyannote[246].end 578.15159375
transcript.pyannote[247].speaker SPEAKER_02
transcript.pyannote[247].start 578.15159375
transcript.pyannote[247].end 578.18534375
transcript.pyannote[248].speaker SPEAKER_02
transcript.pyannote[248].start 578.62409375
transcript.pyannote[248].end 579.99096875
transcript.pyannote[249].speaker SPEAKER_01
transcript.pyannote[249].start 578.69159375
transcript.pyannote[249].end 579.70409375
transcript.pyannote[250].speaker SPEAKER_02
transcript.pyannote[250].start 581.20596875
transcript.pyannote[250].end 583.78784375
transcript.pyannote[251].speaker SPEAKER_00
transcript.pyannote[251].start 581.29034375
transcript.pyannote[251].end 581.94846875
transcript.pyannote[252].speaker SPEAKER_00
transcript.pyannote[252].start 583.24784375
transcript.pyannote[252].end 590.58846875
transcript.pyannote[253].speaker SPEAKER_00
transcript.pyannote[253].start 590.82471875
transcript.pyannote[253].end 591.22971875
transcript.pyannote[254].speaker SPEAKER_00
transcript.pyannote[254].start 591.39846875
transcript.pyannote[254].end 597.64221875
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 600.52784375
transcript.pyannote[255].end 602.21534375
transcript.pyannote[256].speaker SPEAKER_01
transcript.pyannote[256].start 603.83534375
transcript.pyannote[256].end 605.21909375
transcript.pyannote[257].speaker SPEAKER_01
transcript.pyannote[257].start 605.64096875
transcript.pyannote[257].end 606.31596875
transcript.pyannote[258].speaker SPEAKER_01
transcript.pyannote[258].start 609.47159375
transcript.pyannote[258].end 611.37846875
transcript.pyannote[259].speaker SPEAKER_01
transcript.pyannote[259].start 611.98596875
transcript.pyannote[259].end 612.35721875
transcript.pyannote[260].speaker SPEAKER_01
transcript.pyannote[260].start 613.58909375
transcript.pyannote[260].end 615.10784375
transcript.pyannote[261].speaker SPEAKER_01
transcript.pyannote[261].start 616.13721875
transcript.pyannote[261].end 616.94721875
transcript.pyannote[262].speaker SPEAKER_01
transcript.pyannote[262].start 617.75721875
transcript.pyannote[262].end 619.41096875
transcript.pyannote[263].speaker SPEAKER_01
transcript.pyannote[263].start 621.09846875
transcript.pyannote[263].end 623.07284375
transcript.pyannote[264].speaker SPEAKER_01
transcript.pyannote[264].start 624.25409375
transcript.pyannote[264].end 626.31284375
transcript.pyannote[265].speaker SPEAKER_01
transcript.pyannote[265].start 627.27471875
transcript.pyannote[265].end 628.87784375
transcript.pyannote[266].speaker SPEAKER_01
transcript.pyannote[266].start 630.44721875
transcript.pyannote[266].end 631.72971875
transcript.pyannote[267].speaker SPEAKER_01
transcript.pyannote[267].start 632.57346875
transcript.pyannote[267].end 634.07534375
transcript.pyannote[268].speaker SPEAKER_01
transcript.pyannote[268].start 634.75034375
transcript.pyannote[268].end 635.99909375
transcript.pyannote[269].speaker SPEAKER_01
transcript.pyannote[269].start 638.10846875
transcript.pyannote[269].end 639.94784375
transcript.pyannote[270].speaker SPEAKER_01
transcript.pyannote[270].start 640.96034375
transcript.pyannote[270].end 641.85471875
transcript.pyannote[271].speaker SPEAKER_01
transcript.pyannote[271].start 642.61409375
transcript.pyannote[271].end 643.33971875
transcript.pyannote[272].speaker SPEAKER_01
transcript.pyannote[272].start 643.79534375
transcript.pyannote[272].end 644.60534375
transcript.pyannote[273].speaker SPEAKER_01
transcript.pyannote[273].start 644.87534375
transcript.pyannote[273].end 645.51659375
transcript.pyannote[274].speaker SPEAKER_01
transcript.pyannote[274].start 645.70221875
transcript.pyannote[274].end 647.03534375
transcript.pyannote[275].speaker SPEAKER_01
transcript.pyannote[275].start 647.18721875
transcript.pyannote[275].end 651.65909375
transcript.pyannote[276].speaker SPEAKER_01
transcript.pyannote[276].start 652.33409375
transcript.pyannote[276].end 653.26221875
transcript.pyannote[277].speaker SPEAKER_01
transcript.pyannote[277].start 656.97471875
transcript.pyannote[277].end 658.22346875
transcript.pyannote[278].speaker SPEAKER_01
transcript.pyannote[278].start 659.53971875
transcript.pyannote[278].end 660.78846875
transcript.pyannote[279].speaker SPEAKER_01
transcript.pyannote[279].start 661.44659375
transcript.pyannote[279].end 662.61096875
transcript.pyannote[280].speaker SPEAKER_01
transcript.pyannote[280].start 663.18471875
transcript.pyannote[280].end 663.92721875
transcript.pyannote[281].speaker SPEAKER_01
transcript.pyannote[281].start 665.26034375
transcript.pyannote[281].end 667.84221875
transcript.pyannote[282].speaker SPEAKER_01
transcript.pyannote[282].start 669.83346875
transcript.pyannote[282].end 673.69784375
transcript.pyannote[283].speaker SPEAKER_01
transcript.pyannote[283].start 673.90034375
transcript.pyannote[283].end 674.69346875
transcript.pyannote[284].speaker SPEAKER_01
transcript.pyannote[284].start 676.19534375
transcript.pyannote[284].end 677.34284375
transcript.pyannote[285].speaker SPEAKER_01
transcript.pyannote[285].start 678.97971875
transcript.pyannote[285].end 681.32534375
transcript.pyannote[286].speaker SPEAKER_00
transcript.pyannote[286].start 682.05096875
transcript.pyannote[286].end 682.10159375
transcript.pyannote[287].speaker SPEAKER_01
transcript.pyannote[287].start 682.10159375
transcript.pyannote[287].end 682.77659375
transcript.pyannote[288].speaker SPEAKER_00
transcript.pyannote[288].start 682.27034375
transcript.pyannote[288].end 682.28721875
transcript.pyannote[289].speaker SPEAKER_01
transcript.pyannote[289].start 683.63721875
transcript.pyannote[289].end 683.89034375
transcript.pyannote[290].speaker SPEAKER_01
transcript.pyannote[290].start 685.49346875
transcript.pyannote[290].end 687.67034375
transcript.pyannote[291].speaker SPEAKER_01
transcript.pyannote[291].start 688.26096875
transcript.pyannote[291].end 690.43784375
transcript.pyannote[292].speaker SPEAKER_01
transcript.pyannote[292].start 690.96096875
transcript.pyannote[292].end 692.80034375
transcript.pyannote[293].speaker SPEAKER_01
transcript.pyannote[293].start 693.76221875
transcript.pyannote[293].end 695.36534375
transcript.pyannote[294].speaker SPEAKER_01
transcript.pyannote[294].start 695.80409375
transcript.pyannote[294].end 696.74909375
transcript.pyannote[295].speaker SPEAKER_01
transcript.pyannote[295].start 697.66034375
transcript.pyannote[295].end 698.74034375
transcript.pyannote[296].speaker SPEAKER_01
transcript.pyannote[296].start 699.65159375
transcript.pyannote[296].end 702.38534375
transcript.pyannote[297].speaker SPEAKER_01
transcript.pyannote[297].start 703.12784375
transcript.pyannote[297].end 704.42721875
transcript.pyannote[298].speaker SPEAKER_01
transcript.pyannote[298].start 705.15284375
transcript.pyannote[298].end 706.46909375
transcript.pyannote[299].speaker SPEAKER_01
transcript.pyannote[299].start 707.14409375
transcript.pyannote[299].end 711.95346875
transcript.pyannote[300].speaker SPEAKER_01
transcript.pyannote[300].start 712.61159375
transcript.pyannote[300].end 713.82659375
transcript.pyannote[301].speaker SPEAKER_01
transcript.pyannote[301].start 714.26534375
transcript.pyannote[301].end 715.36221875
transcript.pyannote[302].speaker SPEAKER_01
transcript.pyannote[302].start 716.44221875
transcript.pyannote[302].end 719.20971875
transcript.pyannote[303].speaker SPEAKER_01
transcript.pyannote[303].start 719.95221875
transcript.pyannote[303].end 722.41596875
transcript.pyannote[304].speaker SPEAKER_01
transcript.pyannote[304].start 723.98534375
transcript.pyannote[304].end 725.79096875
transcript.pyannote[305].speaker SPEAKER_01
transcript.pyannote[305].start 726.51659375
transcript.pyannote[305].end 727.76534375
transcript.pyannote[306].speaker SPEAKER_00
transcript.pyannote[306].start 727.96784375
transcript.pyannote[306].end 728.32221875
transcript.pyannote[307].speaker SPEAKER_01
transcript.pyannote[307].start 728.32221875
transcript.pyannote[307].end 728.37284375
transcript.pyannote[308].speaker SPEAKER_00
transcript.pyannote[308].start 728.37284375
transcript.pyannote[308].end 728.38971875
transcript.pyannote[309].speaker SPEAKER_01
transcript.pyannote[309].start 728.38971875
transcript.pyannote[309].end 728.40659375
transcript.pyannote[310].speaker SPEAKER_01
transcript.pyannote[310].start 728.99721875
transcript.pyannote[310].end 729.99284375
transcript.pyannote[311].speaker SPEAKER_01
transcript.pyannote[311].start 731.47784375
transcript.pyannote[311].end 732.62534375
transcript.pyannote[312].speaker SPEAKER_01
transcript.pyannote[312].start 733.41846875
transcript.pyannote[312].end 734.38034375
transcript.pyannote[313].speaker SPEAKER_01
transcript.pyannote[313].start 735.62909375
transcript.pyannote[313].end 739.61159375
transcript.pyannote[314].speaker SPEAKER_03
transcript.pyannote[314].start 740.52284375
transcript.pyannote[314].end 740.77596875
transcript.pyannote[315].speaker SPEAKER_01
transcript.pyannote[315].start 741.46784375
transcript.pyannote[315].end 743.10471875
transcript.pyannote[316].speaker SPEAKER_01
transcript.pyannote[316].start 744.30284375
transcript.pyannote[316].end 746.59784375
transcript.pyannote[317].speaker SPEAKER_01
transcript.pyannote[317].start 747.18846875
transcript.pyannote[317].end 748.01534375
transcript.pyannote[318].speaker SPEAKER_01
transcript.pyannote[318].start 748.45409375
transcript.pyannote[318].end 750.31034375
transcript.pyannote[319].speaker SPEAKER_01
transcript.pyannote[319].start 750.74909375
transcript.pyannote[319].end 752.36909375
transcript.pyannote[320].speaker SPEAKER_01
transcript.pyannote[320].start 752.68971875
transcript.pyannote[320].end 752.95971875
transcript.pyannote[321].speaker SPEAKER_01
transcript.pyannote[321].start 755.00159375
transcript.pyannote[321].end 756.33471875
transcript.pyannote[322].speaker SPEAKER_01
transcript.pyannote[322].start 757.02659375
transcript.pyannote[322].end 758.44409375
transcript.pyannote[323].speaker SPEAKER_01
transcript.pyannote[323].start 759.08534375
transcript.pyannote[323].end 760.87409375
transcript.pyannote[324].speaker SPEAKER_01
transcript.pyannote[324].start 761.38034375
transcript.pyannote[324].end 761.88659375
transcript.pyannote[325].speaker SPEAKER_01
transcript.pyannote[325].start 762.91596875
transcript.pyannote[325].end 766.29096875
transcript.pyannote[326].speaker SPEAKER_01
transcript.pyannote[326].start 767.25284375
transcript.pyannote[326].end 768.46784375
transcript.pyannote[327].speaker SPEAKER_01
transcript.pyannote[327].start 769.80096875
transcript.pyannote[327].end 770.61096875
transcript.pyannote[328].speaker SPEAKER_01
transcript.pyannote[328].start 771.10034375
transcript.pyannote[328].end 772.77096875
transcript.pyannote[329].speaker SPEAKER_01
transcript.pyannote[329].start 775.28534375
transcript.pyannote[329].end 776.41596875
transcript.pyannote[330].speaker SPEAKER_01
transcript.pyannote[330].start 776.97284375
transcript.pyannote[330].end 777.71534375
transcript.pyannote[331].speaker SPEAKER_01
transcript.pyannote[331].start 778.89659375
transcript.pyannote[331].end 779.75721875
transcript.pyannote[332].speaker SPEAKER_01
transcript.pyannote[332].start 780.63471875
transcript.pyannote[332].end 781.83284375
transcript.pyannote[333].speaker SPEAKER_01
transcript.pyannote[333].start 782.64284375
transcript.pyannote[333].end 783.95909375
transcript.pyannote[334].speaker SPEAKER_01
transcript.pyannote[334].start 785.47784375
transcript.pyannote[334].end 786.55784375
transcript.pyannote[335].speaker SPEAKER_01
transcript.pyannote[335].start 788.75159375
transcript.pyannote[335].end 790.50659375
transcript.pyannote[336].speaker SPEAKER_01
transcript.pyannote[336].start 793.24034375
transcript.pyannote[336].end 794.45534375
transcript.pyannote[337].speaker SPEAKER_01
transcript.pyannote[337].start 794.97846875
transcript.pyannote[337].end 796.10909375
transcript.pyannote[338].speaker SPEAKER_01
transcript.pyannote[338].start 796.86846875
transcript.pyannote[338].end 798.08346875
transcript.pyannote[339].speaker SPEAKER_01
transcript.pyannote[339].start 798.91034375
transcript.pyannote[339].end 800.26034375
transcript.pyannote[340].speaker SPEAKER_01
transcript.pyannote[340].start 800.49659375
transcript.pyannote[340].end 802.50471875
transcript.pyannote[341].speaker SPEAKER_01
transcript.pyannote[341].start 803.36534375
transcript.pyannote[341].end 804.66471875
transcript.pyannote[342].speaker SPEAKER_01
transcript.pyannote[342].start 805.39034375
transcript.pyannote[342].end 806.84159375
transcript.pyannote[343].speaker SPEAKER_01
transcript.pyannote[343].start 807.33096875
transcript.pyannote[343].end 808.41096875
transcript.pyannote[344].speaker SPEAKER_01
transcript.pyannote[344].start 809.25471875
transcript.pyannote[344].end 810.55409375
transcript.pyannote[345].speaker SPEAKER_01
transcript.pyannote[345].start 811.02659375
transcript.pyannote[345].end 811.93784375
transcript.pyannote[346].speaker SPEAKER_01
transcript.pyannote[346].start 812.79846875
transcript.pyannote[346].end 813.50721875
transcript.pyannote[347].speaker SPEAKER_01
transcript.pyannote[347].start 814.65471875
transcript.pyannote[347].end 815.32971875
transcript.pyannote[348].speaker SPEAKER_01
transcript.pyannote[348].start 817.92846875
transcript.pyannote[348].end 818.87346875
transcript.pyannote[349].speaker SPEAKER_01
transcript.pyannote[349].start 819.53159375
transcript.pyannote[349].end 820.76346875
transcript.pyannote[350].speaker SPEAKER_01
transcript.pyannote[350].start 824.00346875
transcript.pyannote[350].end 824.89784375
transcript.pyannote[351].speaker SPEAKER_01
transcript.pyannote[351].start 825.94409375
transcript.pyannote[351].end 827.02409375
transcript.pyannote[352].speaker SPEAKER_01
transcript.pyannote[352].start 827.26034375
transcript.pyannote[352].end 827.98596875
transcript.pyannote[353].speaker SPEAKER_01
transcript.pyannote[353].start 828.71159375
transcript.pyannote[353].end 830.11221875
transcript.pyannote[354].speaker SPEAKER_01
transcript.pyannote[354].start 830.38221875
transcript.pyannote[354].end 830.70284375
transcript.pyannote[355].speaker SPEAKER_02
transcript.pyannote[355].start 832.42409375
transcript.pyannote[355].end 834.65159375
transcript.pyannote[356].speaker SPEAKER_02
transcript.pyannote[356].start 835.22534375
transcript.pyannote[356].end 836.52471875
transcript.pyannote[357].speaker SPEAKER_01
transcript.pyannote[357].start 835.98471875
transcript.pyannote[357].end 837.45284375
transcript.pyannote[358].speaker SPEAKER_02
transcript.pyannote[358].start 838.26284375
transcript.pyannote[358].end 838.93784375
transcript.pyannote[359].speaker SPEAKER_02
transcript.pyannote[359].start 839.46096875
transcript.pyannote[359].end 840.22034375
transcript.pyannote[360].speaker SPEAKER_02
transcript.pyannote[360].start 840.86159375
transcript.pyannote[360].end 845.31659375
transcript.pyannote[361].speaker SPEAKER_01
transcript.pyannote[361].start 842.46471875
transcript.pyannote[361].end 846.59909375
transcript.pyannote[362].speaker SPEAKER_01
transcript.pyannote[362].start 848.38784375
transcript.pyannote[362].end 849.56909375
transcript.pyannote[363].speaker SPEAKER_01
transcript.pyannote[363].start 851.23971875
transcript.pyannote[363].end 852.50534375
transcript.pyannote[364].speaker SPEAKER_01
transcript.pyannote[364].start 852.79221875
transcript.pyannote[364].end 854.10846875
transcript.pyannote[365].speaker SPEAKER_01
transcript.pyannote[365].start 854.66534375
transcript.pyannote[365].end 855.64409375
transcript.pyannote[366].speaker SPEAKER_01
transcript.pyannote[366].start 856.33596875
transcript.pyannote[366].end 856.90971875
transcript.pyannote[367].speaker SPEAKER_01
transcript.pyannote[367].start 858.90096875
transcript.pyannote[367].end 861.22971875
transcript.pyannote[368].speaker SPEAKER_01
transcript.pyannote[368].start 864.08159375
transcript.pyannote[368].end 866.17409375
transcript.pyannote[369].speaker SPEAKER_01
transcript.pyannote[369].start 868.21596875
transcript.pyannote[369].end 869.54909375
transcript.pyannote[370].speaker SPEAKER_01
transcript.pyannote[370].start 869.80221875
transcript.pyannote[370].end 870.89909375
transcript.pyannote[371].speaker SPEAKER_01
transcript.pyannote[371].start 872.92409375
transcript.pyannote[371].end 873.78471875
transcript.pyannote[372].speaker SPEAKER_01
transcript.pyannote[372].start 874.83096875
transcript.pyannote[372].end 876.83909375
transcript.pyannote[373].speaker SPEAKER_01
transcript.pyannote[373].start 878.13846875
transcript.pyannote[373].end 880.19721875
transcript.pyannote[374].speaker SPEAKER_01
transcript.pyannote[374].start 881.24346875
transcript.pyannote[374].end 882.86346875
transcript.pyannote[375].speaker SPEAKER_01
transcript.pyannote[375].start 883.08284375
transcript.pyannote[375].end 884.24721875
transcript.pyannote[376].speaker SPEAKER_01
transcript.pyannote[376].start 884.48346875
transcript.pyannote[376].end 885.49596875
transcript.pyannote[377].speaker SPEAKER_01
transcript.pyannote[377].start 886.12034375
transcript.pyannote[377].end 889.39409375
transcript.pyannote[378].speaker SPEAKER_01
transcript.pyannote[378].start 890.22096875
transcript.pyannote[378].end 892.44846875
transcript.pyannote[379].speaker SPEAKER_01
transcript.pyannote[379].start 892.98846875
transcript.pyannote[379].end 894.50721875
transcript.pyannote[380].speaker SPEAKER_01
transcript.pyannote[380].start 895.45221875
transcript.pyannote[380].end 896.09346875
transcript.pyannote[381].speaker SPEAKER_01
transcript.pyannote[381].start 896.43096875
transcript.pyannote[381].end 896.88659375
transcript.pyannote[382].speaker SPEAKER_01
transcript.pyannote[382].start 897.57846875
transcript.pyannote[382].end 899.60346875
transcript.pyannote[383].speaker SPEAKER_01
transcript.pyannote[383].start 900.71721875
transcript.pyannote[383].end 900.75096875
transcript.pyannote[384].speaker SPEAKER_02
transcript.pyannote[384].start 900.75096875
transcript.pyannote[384].end 901.91534375
transcript.pyannote[385].speaker SPEAKER_02
transcript.pyannote[385].start 902.16846875
transcript.pyannote[385].end 904.64909375
transcript.pyannote[386].speaker SPEAKER_02
transcript.pyannote[386].start 904.81784375
transcript.pyannote[386].end 907.46721875
transcript.pyannote[387].speaker SPEAKER_02
transcript.pyannote[387].start 907.58534375
transcript.pyannote[387].end 910.25159375
transcript.pyannote[388].speaker SPEAKER_02
transcript.pyannote[388].start 910.58909375
transcript.pyannote[388].end 912.81659375
transcript.pyannote[389].speaker SPEAKER_01
transcript.pyannote[389].start 911.73659375
transcript.pyannote[389].end 913.23846875
transcript.pyannote[390].speaker SPEAKER_02
transcript.pyannote[390].start 913.22159375
transcript.pyannote[390].end 920.73096875
transcript.pyannote[391].speaker SPEAKER_01
transcript.pyannote[391].start 914.95971875
transcript.pyannote[391].end 916.14096875
transcript.pyannote[392].speaker SPEAKER_01
transcript.pyannote[392].start 917.82846875
transcript.pyannote[392].end 920.62971875
transcript.pyannote[393].speaker SPEAKER_01
transcript.pyannote[393].start 921.45659375
transcript.pyannote[393].end 921.87846875
transcript.pyannote[394].speaker SPEAKER_01
transcript.pyannote[394].start 923.38034375
transcript.pyannote[394].end 925.10159375
transcript.pyannote[395].speaker SPEAKER_01
transcript.pyannote[395].start 926.50221875
transcript.pyannote[395].end 927.83534375
transcript.pyannote[396].speaker SPEAKER_01
transcript.pyannote[396].start 930.82221875
transcript.pyannote[396].end 931.63221875
transcript.pyannote[397].speaker SPEAKER_01
transcript.pyannote[397].start 931.76721875
transcript.pyannote[397].end 932.49284375
transcript.pyannote[398].speaker SPEAKER_01
transcript.pyannote[398].start 933.50534375
transcript.pyannote[398].end 934.97346875
transcript.pyannote[399].speaker SPEAKER_02
transcript.pyannote[399].start 934.97346875
transcript.pyannote[399].end 935.29409375
transcript.pyannote[400].speaker SPEAKER_02
transcript.pyannote[400].start 938.26409375
transcript.pyannote[400].end 944.30534375
transcript.pyannote[401].speaker SPEAKER_02
transcript.pyannote[401].start 944.55846875
transcript.pyannote[401].end 946.90409375
transcript.pyannote[402].speaker SPEAKER_02
transcript.pyannote[402].start 947.17409375
transcript.pyannote[402].end 950.46471875
transcript.pyannote[403].speaker SPEAKER_02
transcript.pyannote[403].start 950.68409375
transcript.pyannote[403].end 952.16909375
transcript.pyannote[404].speaker SPEAKER_02
transcript.pyannote[404].start 952.30409375
transcript.pyannote[404].end 959.84721875
transcript.pyannote[405].speaker SPEAKER_01
transcript.pyannote[405].start 954.61596875
transcript.pyannote[405].end 955.29096875
transcript.pyannote[406].speaker SPEAKER_01
transcript.pyannote[406].start 957.55221875
transcript.pyannote[406].end 963.05346875
transcript.pyannote[407].speaker SPEAKER_02
transcript.pyannote[407].start 960.35346875
transcript.pyannote[407].end 961.07909375
transcript.pyannote[408].speaker SPEAKER_01
transcript.pyannote[408].start 963.82971875
transcript.pyannote[408].end 965.53409375
transcript.pyannote[409].speaker SPEAKER_01
transcript.pyannote[409].start 966.39471875
transcript.pyannote[409].end 967.77846875
transcript.pyannote[410].speaker SPEAKER_01
transcript.pyannote[410].start 968.08221875
transcript.pyannote[410].end 968.95971875
transcript.pyannote[411].speaker SPEAKER_01
transcript.pyannote[411].start 969.65159375
transcript.pyannote[411].end 970.56284375
transcript.pyannote[412].speaker SPEAKER_01
transcript.pyannote[412].start 971.47409375
transcript.pyannote[412].end 972.50346875
transcript.pyannote[413].speaker SPEAKER_01
transcript.pyannote[413].start 972.79034375
transcript.pyannote[413].end 976.89096875
transcript.pyannote[414].speaker SPEAKER_01
transcript.pyannote[414].start 977.12721875
transcript.pyannote[414].end 978.86534375
transcript.pyannote[415].speaker SPEAKER_01
transcript.pyannote[415].start 979.55721875
transcript.pyannote[415].end 981.75096875
transcript.pyannote[416].speaker SPEAKER_01
transcript.pyannote[416].start 982.98284375
transcript.pyannote[416].end 984.41721875
transcript.pyannote[417].speaker SPEAKER_01
transcript.pyannote[417].start 985.22721875
transcript.pyannote[417].end 986.20596875
transcript.pyannote[418].speaker SPEAKER_01
transcript.pyannote[418].start 987.11721875
transcript.pyannote[418].end 988.41659375
transcript.pyannote[419].speaker SPEAKER_01
transcript.pyannote[419].start 989.19284375
transcript.pyannote[419].end 992.46659375
transcript.pyannote[420].speaker SPEAKER_03
transcript.pyannote[420].start 992.46659375
transcript.pyannote[420].end 992.82096875
transcript.pyannote[421].speaker SPEAKER_01
transcript.pyannote[421].start 992.82096875
transcript.pyannote[421].end 992.93909375
transcript.pyannote[422].speaker SPEAKER_03
transcript.pyannote[422].start 992.93909375
transcript.pyannote[422].end 993.29346875
transcript.pyannote[423].speaker SPEAKER_01
transcript.pyannote[423].start 993.29346875
transcript.pyannote[423].end 994.96409375
transcript.pyannote[424].speaker SPEAKER_03
transcript.pyannote[424].start 993.31034375
transcript.pyannote[424].end 994.76159375
transcript.pyannote[425].speaker SPEAKER_03
transcript.pyannote[425].start 994.96409375
transcript.pyannote[425].end 995.06534375
transcript.pyannote[426].speaker SPEAKER_01
transcript.pyannote[426].start 995.06534375
transcript.pyannote[426].end 995.09909375
transcript.pyannote[427].speaker SPEAKER_01
transcript.pyannote[427].start 995.14971875
transcript.pyannote[427].end 996.43221875
transcript.pyannote[428].speaker SPEAKER_01
transcript.pyannote[428].start 996.71909375
transcript.pyannote[428].end 997.96784375
transcript.pyannote[429].speaker SPEAKER_03
transcript.pyannote[429].start 996.73596875
transcript.pyannote[429].end 998.69346875
transcript.pyannote[430].speaker SPEAKER_01
transcript.pyannote[430].start 998.45721875
transcript.pyannote[430].end 999.87471875
transcript.pyannote[431].speaker SPEAKER_01
transcript.pyannote[431].start 1000.80284375
transcript.pyannote[431].end 1002.64221875
transcript.pyannote[432].speaker SPEAKER_01
transcript.pyannote[432].start 1002.89534375
transcript.pyannote[432].end 1009.61159375
transcript.pyannote[433].speaker SPEAKER_03
transcript.pyannote[433].start 1004.05971875
transcript.pyannote[433].end 1005.12284375
transcript.pyannote[434].speaker SPEAKER_03
transcript.pyannote[434].start 1005.64596875
transcript.pyannote[434].end 1007.11409375
transcript.pyannote[435].speaker SPEAKER_01
transcript.pyannote[435].start 1010.50596875
transcript.pyannote[435].end 1012.96971875
transcript.pyannote[436].speaker SPEAKER_01
transcript.pyannote[436].start 1014.52221875
transcript.pyannote[436].end 1016.42909375
transcript.pyannote[437].speaker SPEAKER_01
transcript.pyannote[437].start 1017.44159375
transcript.pyannote[437].end 1018.50471875
transcript.pyannote[438].speaker SPEAKER_01
transcript.pyannote[438].start 1019.26409375
transcript.pyannote[438].end 1020.39471875
transcript.pyannote[439].speaker SPEAKER_01
transcript.pyannote[439].start 1021.18784375
transcript.pyannote[439].end 1022.16659375
transcript.pyannote[440].speaker SPEAKER_01
transcript.pyannote[440].start 1024.59659375
transcript.pyannote[440].end 1025.64284375
transcript.pyannote[441].speaker SPEAKER_01
transcript.pyannote[441].start 1026.28409375
transcript.pyannote[441].end 1027.21221875
transcript.pyannote[442].speaker SPEAKER_01
transcript.pyannote[442].start 1029.08534375
transcript.pyannote[442].end 1029.55784375
transcript.pyannote[443].speaker SPEAKER_01
transcript.pyannote[443].start 1030.92471875
transcript.pyannote[443].end 1033.16909375
transcript.pyannote[444].speaker SPEAKER_01
transcript.pyannote[444].start 1035.31221875
transcript.pyannote[444].end 1037.05034375
transcript.pyannote[445].speaker SPEAKER_01
transcript.pyannote[445].start 1037.97846875
transcript.pyannote[445].end 1039.91909375
transcript.pyannote[446].speaker SPEAKER_01
transcript.pyannote[446].start 1040.99909375
transcript.pyannote[446].end 1043.41221875
transcript.pyannote[447].speaker SPEAKER_01
transcript.pyannote[447].start 1043.58096875
transcript.pyannote[447].end 1044.32346875
transcript.pyannote[448].speaker SPEAKER_01
transcript.pyannote[448].start 1044.47534375
transcript.pyannote[448].end 1045.04909375
transcript.pyannote[449].speaker SPEAKER_01
transcript.pyannote[449].start 1047.05721875
transcript.pyannote[449].end 1048.01909375
transcript.pyannote[450].speaker SPEAKER_01
transcript.pyannote[450].start 1048.13721875
transcript.pyannote[450].end 1049.14971875
transcript.pyannote[451].speaker SPEAKER_01
transcript.pyannote[451].start 1049.36909375
transcript.pyannote[451].end 1050.04409375
transcript.pyannote[452].speaker SPEAKER_01
transcript.pyannote[452].start 1050.97221875
transcript.pyannote[452].end 1051.57971875
transcript.pyannote[453].speaker SPEAKER_01
transcript.pyannote[453].start 1052.42346875
transcript.pyannote[453].end 1052.59221875
transcript.pyannote[454].speaker SPEAKER_03
transcript.pyannote[454].start 1052.59221875
transcript.pyannote[454].end 1052.62596875
transcript.pyannote[455].speaker SPEAKER_03
transcript.pyannote[455].start 1052.94659375
transcript.pyannote[455].end 1053.90846875
transcript.pyannote[456].speaker SPEAKER_03
transcript.pyannote[456].start 1054.41471875
transcript.pyannote[456].end 1054.98846875
transcript.pyannote[457].speaker SPEAKER_03
transcript.pyannote[457].start 1055.47784375
transcript.pyannote[457].end 1057.82346875
transcript.pyannote[458].speaker SPEAKER_03
transcript.pyannote[458].start 1058.07659375
transcript.pyannote[458].end 1058.17784375
transcript.pyannote[459].speaker SPEAKER_01
transcript.pyannote[459].start 1058.17784375
transcript.pyannote[459].end 1059.39284375
transcript.pyannote[460].speaker SPEAKER_01
transcript.pyannote[460].start 1060.72596875
transcript.pyannote[460].end 1061.60346875
transcript.pyannote[461].speaker SPEAKER_01
transcript.pyannote[461].start 1061.95784375
transcript.pyannote[461].end 1062.56534375
transcript.pyannote[462].speaker SPEAKER_01
transcript.pyannote[462].start 1063.96596875
transcript.pyannote[462].end 1064.15159375
transcript.pyannote[463].speaker SPEAKER_01
transcript.pyannote[463].start 1065.43409375
transcript.pyannote[463].end 1065.92346875
transcript.pyannote[464].speaker SPEAKER_01
transcript.pyannote[464].start 1066.86846875
transcript.pyannote[464].end 1069.29846875
transcript.pyannote[465].speaker SPEAKER_01
transcript.pyannote[465].start 1071.01971875
transcript.pyannote[465].end 1077.12846875
transcript.pyannote[466].speaker SPEAKER_01
transcript.pyannote[466].start 1078.69784375
transcript.pyannote[466].end 1080.52034375
transcript.pyannote[467].speaker SPEAKER_01
transcript.pyannote[467].start 1081.19534375
transcript.pyannote[467].end 1082.86596875
transcript.pyannote[468].speaker SPEAKER_01
transcript.pyannote[468].start 1083.11909375
transcript.pyannote[468].end 1084.23284375
transcript.pyannote[469].speaker SPEAKER_01
transcript.pyannote[469].start 1084.92471875
transcript.pyannote[469].end 1085.76846875
transcript.pyannote[470].speaker SPEAKER_01
transcript.pyannote[470].start 1087.75971875
transcript.pyannote[470].end 1088.51909375
transcript.pyannote[471].speaker SPEAKER_01
transcript.pyannote[471].start 1088.68784375
transcript.pyannote[471].end 1089.93659375
transcript.pyannote[472].speaker SPEAKER_01
transcript.pyannote[472].start 1091.16846875
transcript.pyannote[472].end 1092.90659375
transcript.pyannote[473].speaker SPEAKER_01
transcript.pyannote[473].start 1095.30284375
transcript.pyannote[473].end 1097.09159375
transcript.pyannote[474].speaker SPEAKER_01
transcript.pyannote[474].start 1097.20971875
transcript.pyannote[474].end 1097.93534375
transcript.pyannote[475].speaker SPEAKER_02
transcript.pyannote[475].start 1098.10409375
transcript.pyannote[475].end 1100.70284375
transcript.pyannote[476].speaker SPEAKER_01
transcript.pyannote[476].start 1101.10784375
transcript.pyannote[476].end 1102.60971875
transcript.pyannote[477].speaker SPEAKER_01
transcript.pyannote[477].start 1103.36909375
transcript.pyannote[477].end 1104.88784375
transcript.pyannote[478].speaker SPEAKER_01
transcript.pyannote[478].start 1105.22534375
transcript.pyannote[478].end 1106.94659375
transcript.pyannote[479].speaker SPEAKER_01
transcript.pyannote[479].start 1107.75659375
transcript.pyannote[479].end 1111.40159375
transcript.pyannote[480].speaker SPEAKER_01
transcript.pyannote[480].start 1113.17346875
transcript.pyannote[480].end 1115.16471875
transcript.pyannote[481].speaker SPEAKER_01
transcript.pyannote[481].start 1116.22784375
transcript.pyannote[481].end 1117.29096875
transcript.pyannote[482].speaker SPEAKER_01
transcript.pyannote[482].start 1119.16409375
transcript.pyannote[482].end 1120.98659375
transcript.pyannote[483].speaker SPEAKER_01
transcript.pyannote[483].start 1121.52659375
transcript.pyannote[483].end 1122.48846875
transcript.pyannote[484].speaker SPEAKER_01
transcript.pyannote[484].start 1122.87659375
transcript.pyannote[484].end 1123.93971875
transcript.pyannote[485].speaker SPEAKER_02
transcript.pyannote[485].start 1123.93971875
transcript.pyannote[485].end 1123.97346875
transcript.pyannote[486].speaker SPEAKER_02
transcript.pyannote[486].start 1124.80034375
transcript.pyannote[486].end 1125.88034375
transcript.pyannote[487].speaker SPEAKER_02
transcript.pyannote[487].start 1126.55534375
transcript.pyannote[487].end 1130.26784375
transcript.pyannote[488].speaker SPEAKER_02
transcript.pyannote[488].start 1130.52096875
transcript.pyannote[488].end 1133.55846875
transcript.pyannote[489].speaker SPEAKER_02
transcript.pyannote[489].start 1134.13221875
transcript.pyannote[489].end 1135.83659375
transcript.pyannote[490].speaker SPEAKER_01
transcript.pyannote[490].start 1134.21659375
transcript.pyannote[490].end 1134.48659375
transcript.pyannote[491].speaker SPEAKER_01
transcript.pyannote[491].start 1134.55409375
transcript.pyannote[491].end 1137.40596875
transcript.pyannote[492].speaker SPEAKER_01
transcript.pyannote[492].start 1138.92471875
transcript.pyannote[492].end 1140.51096875
transcript.pyannote[493].speaker SPEAKER_01
transcript.pyannote[493].start 1141.40534375
transcript.pyannote[493].end 1144.29096875
transcript.pyannote[494].speaker SPEAKER_01
transcript.pyannote[494].start 1145.80971875
transcript.pyannote[494].end 1146.53534375
transcript.pyannote[495].speaker SPEAKER_01
transcript.pyannote[495].start 1147.17659375
transcript.pyannote[495].end 1149.15096875
transcript.pyannote[496].speaker SPEAKER_01
transcript.pyannote[496].start 1149.60659375
transcript.pyannote[496].end 1150.63596875
transcript.pyannote[497].speaker SPEAKER_01
transcript.pyannote[497].start 1151.07471875
transcript.pyannote[497].end 1152.01971875
transcript.pyannote[498].speaker SPEAKER_01
transcript.pyannote[498].start 1152.44159375
transcript.pyannote[498].end 1152.96471875
transcript.pyannote[499].speaker SPEAKER_01
transcript.pyannote[499].start 1153.87596875
transcript.pyannote[499].end 1154.16284375
transcript.pyannote[500].speaker SPEAKER_01
transcript.pyannote[500].start 1154.85471875
transcript.pyannote[500].end 1159.05659375
transcript.pyannote[501].speaker SPEAKER_01
transcript.pyannote[501].start 1159.15784375
transcript.pyannote[501].end 1159.32659375
transcript.pyannote[502].speaker SPEAKER_01
transcript.pyannote[502].start 1159.34346875
transcript.pyannote[502].end 1161.38534375
transcript.pyannote[503].speaker SPEAKER_03
transcript.pyannote[503].start 1159.44471875
transcript.pyannote[503].end 1159.61346875
transcript.pyannote[504].speaker SPEAKER_01
transcript.pyannote[504].start 1162.65096875
transcript.pyannote[504].end 1163.35971875
transcript.pyannote[505].speaker SPEAKER_01
transcript.pyannote[505].start 1163.91659375
transcript.pyannote[505].end 1165.14846875
transcript.pyannote[506].speaker SPEAKER_01
transcript.pyannote[506].start 1165.67159375
transcript.pyannote[506].end 1166.70096875
transcript.pyannote[507].speaker SPEAKER_01
transcript.pyannote[507].start 1167.03846875
transcript.pyannote[507].end 1168.65846875
transcript.pyannote[508].speaker SPEAKER_01
transcript.pyannote[508].start 1169.38409375
transcript.pyannote[508].end 1169.90721875
transcript.pyannote[509].speaker SPEAKER_01
transcript.pyannote[509].start 1170.83534375
transcript.pyannote[509].end 1171.93221875
transcript.pyannote[510].speaker SPEAKER_01
transcript.pyannote[510].start 1172.99534375
transcript.pyannote[510].end 1175.17221875
transcript.pyannote[511].speaker SPEAKER_01
transcript.pyannote[511].start 1176.16784375
transcript.pyannote[511].end 1177.24784375
transcript.pyannote[512].speaker SPEAKER_01
transcript.pyannote[512].start 1179.64409375
transcript.pyannote[512].end 1181.31471875
transcript.pyannote[513].speaker SPEAKER_01
transcript.pyannote[513].start 1182.27659375
transcript.pyannote[513].end 1188.58784375
transcript.pyannote[514].speaker SPEAKER_02
transcript.pyannote[514].start 1184.16659375
transcript.pyannote[514].end 1185.97221875
transcript.pyannote[515].speaker SPEAKER_01
transcript.pyannote[515].start 1189.17846875
transcript.pyannote[515].end 1192.19909375
transcript.pyannote[516].speaker SPEAKER_03
transcript.pyannote[516].start 1189.39784375
transcript.pyannote[516].end 1189.43159375
transcript.pyannote[517].speaker SPEAKER_03
transcript.pyannote[517].start 1190.32596875
transcript.pyannote[517].end 1195.48971875
transcript.pyannote[518].speaker SPEAKER_01
transcript.pyannote[518].start 1193.61659375
transcript.pyannote[518].end 1196.08034375
transcript.pyannote[519].speaker SPEAKER_01
transcript.pyannote[519].start 1196.29971875
transcript.pyannote[519].end 1197.07596875
transcript.pyannote[520].speaker SPEAKER_01
transcript.pyannote[520].start 1197.76784375
transcript.pyannote[520].end 1197.90284375
transcript.pyannote[521].speaker SPEAKER_01
transcript.pyannote[521].start 1198.40909375
transcript.pyannote[521].end 1199.82659375
transcript.pyannote[522].speaker SPEAKER_01
transcript.pyannote[522].start 1200.09659375
transcript.pyannote[522].end 1201.02471875
transcript.pyannote[523].speaker SPEAKER_01
transcript.pyannote[523].start 1201.26096875
transcript.pyannote[523].end 1203.21846875
transcript.pyannote[524].speaker SPEAKER_01
transcript.pyannote[524].start 1203.94409375
transcript.pyannote[524].end 1206.62721875
transcript.pyannote[525].speaker SPEAKER_01
transcript.pyannote[525].start 1207.13346875
transcript.pyannote[525].end 1207.69034375
transcript.pyannote[526].speaker SPEAKER_01
transcript.pyannote[526].start 1208.58471875
transcript.pyannote[526].end 1211.85846875
transcript.pyannote[527].speaker SPEAKER_01
transcript.pyannote[527].start 1212.58409375
transcript.pyannote[527].end 1216.76909375
transcript.pyannote[528].speaker SPEAKER_01
transcript.pyannote[528].start 1218.13596875
transcript.pyannote[528].end 1218.70971875
transcript.pyannote[529].speaker SPEAKER_01
transcript.pyannote[529].start 1219.21596875
transcript.pyannote[529].end 1222.59096875
transcript.pyannote[530].speaker SPEAKER_01
transcript.pyannote[530].start 1222.94534375
transcript.pyannote[530].end 1225.05471875
transcript.pyannote[531].speaker SPEAKER_01
transcript.pyannote[531].start 1225.20659375
transcript.pyannote[531].end 1226.53971875
transcript.pyannote[532].speaker SPEAKER_01
transcript.pyannote[532].start 1227.18096875
transcript.pyannote[532].end 1229.35784375
transcript.pyannote[533].speaker SPEAKER_02
transcript.pyannote[533].start 1230.03284375
transcript.pyannote[533].end 1231.80471875
transcript.pyannote[534].speaker SPEAKER_01
transcript.pyannote[534].start 1231.73721875
transcript.pyannote[534].end 1231.75409375
transcript.pyannote[535].speaker SPEAKER_03
transcript.pyannote[535].start 1231.75409375
transcript.pyannote[535].end 1233.00284375
transcript.pyannote[536].speaker SPEAKER_01
transcript.pyannote[536].start 1231.80471875
transcript.pyannote[536].end 1231.88909375
transcript.pyannote[537].speaker SPEAKER_02
transcript.pyannote[537].start 1231.88909375
transcript.pyannote[537].end 1232.02409375
transcript.pyannote[538].speaker SPEAKER_01
transcript.pyannote[538].start 1232.02409375
transcript.pyannote[538].end 1232.53034375
transcript.pyannote[539].speaker SPEAKER_02
transcript.pyannote[539].start 1232.53034375
transcript.pyannote[539].end 1232.56409375
transcript.pyannote[540].speaker SPEAKER_03
transcript.pyannote[540].start 1233.32346875
transcript.pyannote[540].end 1236.74909375
transcript.pyannote[541].speaker SPEAKER_01
transcript.pyannote[541].start 1233.62721875
transcript.pyannote[541].end 1233.81284375
transcript.pyannote[542].speaker SPEAKER_02
transcript.pyannote[542].start 1233.81284375
transcript.pyannote[542].end 1233.82971875
transcript.pyannote[543].speaker SPEAKER_01
transcript.pyannote[543].start 1233.82971875
transcript.pyannote[543].end 1233.86346875
transcript.pyannote[544].speaker SPEAKER_01
transcript.pyannote[544].start 1235.60159375
transcript.pyannote[544].end 1236.69846875
transcript.pyannote[545].speaker SPEAKER_01
transcript.pyannote[545].start 1236.74909375
transcript.pyannote[545].end 1236.76596875
transcript.pyannote[546].speaker SPEAKER_03
transcript.pyannote[546].start 1236.76596875
transcript.pyannote[546].end 1236.96846875
transcript.pyannote[547].speaker SPEAKER_01
transcript.pyannote[547].start 1236.96846875
transcript.pyannote[547].end 1237.01909375
transcript.pyannote[548].speaker SPEAKER_03
transcript.pyannote[548].start 1237.01909375
transcript.pyannote[548].end 1237.03596875
transcript.pyannote[549].speaker SPEAKER_01
transcript.pyannote[549].start 1237.03596875
transcript.pyannote[549].end 1237.33971875
transcript.pyannote[550].speaker SPEAKER_03
transcript.pyannote[550].start 1237.33971875
transcript.pyannote[550].end 1237.55909375
transcript.pyannote[551].speaker SPEAKER_01
transcript.pyannote[551].start 1237.55909375
transcript.pyannote[551].end 1241.20409375
transcript.pyannote[552].speaker SPEAKER_03
transcript.pyannote[552].start 1238.30159375
transcript.pyannote[552].end 1238.47034375
transcript.pyannote[553].speaker SPEAKER_01
transcript.pyannote[553].start 1241.44034375
transcript.pyannote[553].end 1243.12784375
transcript.pyannote[554].speaker SPEAKER_01
transcript.pyannote[554].start 1244.42721875
transcript.pyannote[554].end 1246.14846875
transcript.pyannote[555].speaker SPEAKER_01
transcript.pyannote[555].start 1246.67159375
transcript.pyannote[555].end 1248.07221875
transcript.pyannote[556].speaker SPEAKER_01
transcript.pyannote[556].start 1248.49409375
transcript.pyannote[556].end 1249.87784375
transcript.pyannote[557].speaker SPEAKER_01
transcript.pyannote[557].start 1250.70471875
transcript.pyannote[557].end 1252.27409375
transcript.pyannote[558].speaker SPEAKER_01
transcript.pyannote[558].start 1252.34159375
transcript.pyannote[558].end 1254.58596875
transcript.pyannote[559].speaker SPEAKER_01
transcript.pyannote[559].start 1255.58159375
transcript.pyannote[559].end 1257.99471875
transcript.pyannote[560].speaker SPEAKER_01
transcript.pyannote[560].start 1258.01159375
transcript.pyannote[560].end 1258.02846875
transcript.pyannote[561].speaker SPEAKER_01
transcript.pyannote[561].start 1258.07909375
transcript.pyannote[561].end 1259.76659375
transcript.pyannote[562].speaker SPEAKER_01
transcript.pyannote[562].start 1261.16721875
transcript.pyannote[562].end 1261.85909375
transcript.pyannote[563].speaker SPEAKER_01
transcript.pyannote[563].start 1263.49596875
transcript.pyannote[563].end 1264.54221875
transcript.pyannote[564].speaker SPEAKER_01
transcript.pyannote[564].start 1265.84159375
transcript.pyannote[564].end 1268.87909375
transcript.pyannote[565].speaker SPEAKER_01
transcript.pyannote[565].start 1269.43596875
transcript.pyannote[565].end 1272.32159375
transcript.pyannote[566].speaker SPEAKER_01
transcript.pyannote[566].start 1273.04721875
transcript.pyannote[566].end 1276.28721875
transcript.pyannote[567].speaker SPEAKER_01
transcript.pyannote[567].start 1277.13096875
transcript.pyannote[567].end 1277.63721875
transcript.pyannote[568].speaker SPEAKER_01
transcript.pyannote[568].start 1277.97471875
transcript.pyannote[568].end 1279.29096875
transcript.pyannote[569].speaker SPEAKER_01
transcript.pyannote[569].start 1280.55659375
transcript.pyannote[569].end 1281.61971875
transcript.pyannote[570].speaker SPEAKER_01
transcript.pyannote[570].start 1282.49721875
transcript.pyannote[570].end 1283.15534375
transcript.pyannote[571].speaker SPEAKER_01
transcript.pyannote[571].start 1283.29034375
transcript.pyannote[571].end 1284.10034375
transcript.pyannote[572].speaker SPEAKER_01
transcript.pyannote[572].start 1284.70784375
transcript.pyannote[572].end 1285.55159375
transcript.pyannote[573].speaker SPEAKER_01
transcript.pyannote[573].start 1285.95659375
transcript.pyannote[573].end 1289.63534375
transcript.pyannote[574].speaker SPEAKER_01
transcript.pyannote[574].start 1290.58034375
transcript.pyannote[574].end 1290.76596875
transcript.pyannote[575].speaker SPEAKER_01
transcript.pyannote[575].start 1291.30596875
transcript.pyannote[575].end 1292.20034375
transcript.pyannote[576].speaker SPEAKER_01
transcript.pyannote[576].start 1292.60534375
transcript.pyannote[576].end 1293.43221875
transcript.pyannote[577].speaker SPEAKER_01
transcript.pyannote[577].start 1293.76971875
transcript.pyannote[577].end 1295.62596875
transcript.pyannote[578].speaker SPEAKER_01
transcript.pyannote[578].start 1296.03096875
transcript.pyannote[578].end 1296.67221875
transcript.pyannote[579].speaker SPEAKER_01
transcript.pyannote[579].start 1297.24596875
transcript.pyannote[579].end 1303.35471875
transcript.pyannote[580].speaker SPEAKER_02
transcript.pyannote[580].start 1303.35471875
transcript.pyannote[580].end 1306.03784375
transcript.pyannote[581].speaker SPEAKER_01
transcript.pyannote[581].start 1304.18159375
transcript.pyannote[581].end 1305.43034375
transcript.pyannote[582].speaker SPEAKER_01
transcript.pyannote[582].start 1306.03784375
transcript.pyannote[582].end 1308.90659375
transcript.pyannote[583].speaker SPEAKER_02
transcript.pyannote[583].start 1307.18534375
transcript.pyannote[583].end 1307.91096875
transcript.pyannote[584].speaker SPEAKER_01
transcript.pyannote[584].start 1309.29471875
transcript.pyannote[584].end 1309.56471875
transcript.pyannote[585].speaker SPEAKER_01
transcript.pyannote[585].start 1309.85159375
transcript.pyannote[585].end 1312.41659375
transcript.pyannote[586].speaker SPEAKER_01
transcript.pyannote[586].start 1313.15909375
transcript.pyannote[586].end 1314.05346875
transcript.pyannote[587].speaker SPEAKER_01
transcript.pyannote[587].start 1314.72846875
transcript.pyannote[587].end 1316.61846875
transcript.pyannote[588].speaker SPEAKER_01
transcript.pyannote[588].start 1318.82909375
transcript.pyannote[588].end 1320.28034375
transcript.pyannote[589].speaker SPEAKER_01
transcript.pyannote[589].start 1321.29284375
transcript.pyannote[589].end 1322.76096875
transcript.pyannote[590].speaker SPEAKER_01
transcript.pyannote[590].start 1323.80721875
transcript.pyannote[590].end 1324.38096875
transcript.pyannote[591].speaker SPEAKER_01
transcript.pyannote[591].start 1324.60034375
transcript.pyannote[591].end 1325.35971875
transcript.pyannote[592].speaker SPEAKER_01
transcript.pyannote[592].start 1326.03471875
transcript.pyannote[592].end 1327.46909375
transcript.pyannote[593].speaker SPEAKER_01
transcript.pyannote[593].start 1328.14409375
transcript.pyannote[593].end 1329.07221875
transcript.pyannote[594].speaker SPEAKER_01
transcript.pyannote[594].start 1329.32534375
transcript.pyannote[594].end 1329.76409375
transcript.pyannote[595].speaker SPEAKER_03
transcript.pyannote[595].start 1330.92846875
transcript.pyannote[595].end 1331.70471875
transcript.pyannote[596].speaker SPEAKER_01
transcript.pyannote[596].start 1331.94096875
transcript.pyannote[596].end 1334.52284375
transcript.pyannote[597].speaker SPEAKER_01
transcript.pyannote[597].start 1335.58596875
transcript.pyannote[597].end 1338.64034375
transcript.pyannote[598].speaker SPEAKER_01
transcript.pyannote[598].start 1339.31534375
transcript.pyannote[598].end 1340.51346875
transcript.pyannote[599].speaker SPEAKER_01
transcript.pyannote[599].start 1341.64409375
transcript.pyannote[599].end 1342.28534375
transcript.pyannote[600].speaker SPEAKER_01
transcript.pyannote[600].start 1342.74096875
transcript.pyannote[600].end 1343.82096875
transcript.pyannote[601].speaker SPEAKER_01
transcript.pyannote[601].start 1345.42409375
transcript.pyannote[601].end 1349.01846875
transcript.pyannote[602].speaker SPEAKER_03
transcript.pyannote[602].start 1350.46971875
transcript.pyannote[602].end 1352.88284375
transcript.pyannote[603].speaker SPEAKER_03
transcript.pyannote[603].start 1353.38909375
transcript.pyannote[603].end 1353.40596875
transcript.pyannote[604].speaker SPEAKER_01
transcript.pyannote[604].start 1353.40596875
transcript.pyannote[604].end 1354.23284375
transcript.pyannote[605].speaker SPEAKER_03
transcript.pyannote[605].start 1353.42284375
transcript.pyannote[605].end 1354.90784375
transcript.pyannote[606].speaker SPEAKER_01
transcript.pyannote[606].start 1354.35096875
transcript.pyannote[606].end 1355.16096875
transcript.pyannote[607].speaker SPEAKER_03
transcript.pyannote[607].start 1355.16096875
transcript.pyannote[607].end 1355.19471875
transcript.pyannote[608].speaker SPEAKER_01
transcript.pyannote[608].start 1355.19471875
transcript.pyannote[608].end 1355.54909375
transcript.pyannote[609].speaker SPEAKER_03
transcript.pyannote[609].start 1355.54909375
transcript.pyannote[609].end 1355.59971875
transcript.pyannote[610].speaker SPEAKER_01
transcript.pyannote[610].start 1355.59971875
transcript.pyannote[610].end 1355.65034375
transcript.pyannote[611].speaker SPEAKER_01
transcript.pyannote[611].start 1356.66284375
transcript.pyannote[611].end 1357.48971875
transcript.pyannote[612].speaker SPEAKER_01
transcript.pyannote[612].start 1357.94534375
transcript.pyannote[612].end 1360.88159375
transcript.pyannote[613].speaker SPEAKER_03
transcript.pyannote[613].start 1359.46409375
transcript.pyannote[613].end 1359.90284375
transcript.pyannote[614].speaker SPEAKER_01
transcript.pyannote[614].start 1361.13471875
transcript.pyannote[614].end 1363.09221875
transcript.pyannote[615].speaker SPEAKER_01
transcript.pyannote[615].start 1363.48034375
transcript.pyannote[615].end 1363.93596875
transcript.pyannote[616].speaker SPEAKER_01
transcript.pyannote[616].start 1364.79659375
transcript.pyannote[616].end 1365.01596875
transcript.pyannote[617].speaker SPEAKER_01
transcript.pyannote[617].start 1366.46721875
transcript.pyannote[617].end 1373.20034375
transcript.pyannote[618].speaker SPEAKER_01
transcript.pyannote[618].start 1373.95971875
transcript.pyannote[618].end 1376.55846875
transcript.pyannote[619].speaker SPEAKER_01
transcript.pyannote[619].start 1377.16596875
transcript.pyannote[619].end 1381.38471875
transcript.pyannote[620].speaker SPEAKER_01
transcript.pyannote[620].start 1381.84034375
transcript.pyannote[620].end 1385.40096875
transcript.pyannote[621].speaker SPEAKER_01
transcript.pyannote[621].start 1386.49784375
transcript.pyannote[621].end 1388.25284375
transcript.pyannote[622].speaker SPEAKER_01
transcript.pyannote[622].start 1389.87284375
transcript.pyannote[622].end 1390.98659375
transcript.pyannote[623].speaker SPEAKER_01
transcript.pyannote[623].start 1393.48409375
transcript.pyannote[623].end 1394.69909375
transcript.pyannote[624].speaker SPEAKER_01
transcript.pyannote[624].start 1395.10409375
transcript.pyannote[624].end 1397.34846875
transcript.pyannote[625].speaker SPEAKER_01
transcript.pyannote[625].start 1397.98971875
transcript.pyannote[625].end 1399.23846875
transcript.pyannote[626].speaker SPEAKER_01
transcript.pyannote[626].start 1399.98096875
transcript.pyannote[626].end 1401.09471875
transcript.pyannote[627].speaker SPEAKER_01
transcript.pyannote[627].start 1402.90034375
transcript.pyannote[627].end 1403.94659375
transcript.pyannote[628].speaker SPEAKER_01
transcript.pyannote[628].start 1404.41909375
transcript.pyannote[628].end 1410.61221875
transcript.pyannote[629].speaker SPEAKER_01
transcript.pyannote[629].start 1411.42221875
transcript.pyannote[629].end 1414.17284375
transcript.pyannote[630].speaker SPEAKER_01
transcript.pyannote[630].start 1416.90659375
transcript.pyannote[630].end 1418.18909375
transcript.pyannote[631].speaker SPEAKER_01
transcript.pyannote[631].start 1419.50534375
transcript.pyannote[631].end 1422.00284375
transcript.pyannote[632].speaker SPEAKER_01
transcript.pyannote[632].start 1422.54284375
transcript.pyannote[632].end 1423.72409375
transcript.pyannote[633].speaker SPEAKER_01
transcript.pyannote[633].start 1424.36534375
transcript.pyannote[633].end 1426.13721875
transcript.pyannote[634].speaker SPEAKER_01
transcript.pyannote[634].start 1426.74471875
transcript.pyannote[634].end 1428.38159375
transcript.pyannote[635].speaker SPEAKER_01
transcript.pyannote[635].start 1428.76971875
transcript.pyannote[635].end 1430.28846875
transcript.pyannote[636].speaker SPEAKER_01
transcript.pyannote[636].start 1430.54159375
transcript.pyannote[636].end 1431.14909375
transcript.pyannote[637].speaker SPEAKER_01
transcript.pyannote[637].start 1431.99284375
transcript.pyannote[637].end 1432.88721875
transcript.pyannote[638].speaker SPEAKER_01
transcript.pyannote[638].start 1433.59596875
transcript.pyannote[638].end 1435.36784375
transcript.pyannote[639].speaker SPEAKER_01
transcript.pyannote[639].start 1436.17784375
transcript.pyannote[639].end 1438.11846875
transcript.pyannote[640].speaker SPEAKER_01
transcript.pyannote[640].start 1440.90284375
transcript.pyannote[640].end 1445.71221875
transcript.pyannote[641].speaker SPEAKER_01
transcript.pyannote[641].start 1447.43346875
transcript.pyannote[641].end 1448.53034375
transcript.pyannote[642].speaker SPEAKER_01
transcript.pyannote[642].start 1449.10409375
transcript.pyannote[642].end 1450.20096875
transcript.pyannote[643].speaker SPEAKER_01
transcript.pyannote[643].start 1450.69034375
transcript.pyannote[643].end 1452.00659375
transcript.pyannote[644].speaker SPEAKER_01
transcript.pyannote[644].start 1452.54659375
transcript.pyannote[644].end 1453.69409375
transcript.pyannote[645].speaker SPEAKER_01
transcript.pyannote[645].start 1454.13284375
transcript.pyannote[645].end 1455.95534375
transcript.pyannote[646].speaker SPEAKER_01
transcript.pyannote[646].start 1456.00596875
transcript.pyannote[646].end 1456.42784375
transcript.pyannote[647].speaker SPEAKER_01
transcript.pyannote[647].start 1457.87909375
transcript.pyannote[647].end 1458.52034375
transcript.pyannote[648].speaker SPEAKER_01
transcript.pyannote[648].start 1458.87471875
transcript.pyannote[648].end 1459.83659375
transcript.pyannote[649].speaker SPEAKER_01
transcript.pyannote[649].start 1460.30909375
transcript.pyannote[649].end 1461.59159375
transcript.pyannote[650].speaker SPEAKER_01
transcript.pyannote[650].start 1461.84471875
transcript.pyannote[650].end 1463.73471875
transcript.pyannote[651].speaker SPEAKER_01
transcript.pyannote[651].start 1464.08909375
transcript.pyannote[651].end 1470.50159375
transcript.pyannote[652].speaker SPEAKER_00
transcript.pyannote[652].start 1469.38784375
transcript.pyannote[652].end 1470.33284375
transcript.pyannote[653].speaker SPEAKER_01
transcript.pyannote[653].start 1470.88971875
transcript.pyannote[653].end 1473.28596875
transcript.pyannote[654].speaker SPEAKER_01
transcript.pyannote[654].start 1474.04534375
transcript.pyannote[654].end 1476.34034375
transcript.pyannote[655].speaker SPEAKER_01
transcript.pyannote[655].start 1477.23471875
transcript.pyannote[655].end 1478.82096875
transcript.pyannote[656].speaker SPEAKER_01
transcript.pyannote[656].start 1479.36096875
transcript.pyannote[656].end 1479.95159375
transcript.pyannote[657].speaker SPEAKER_01
transcript.pyannote[657].start 1480.32284375
transcript.pyannote[657].end 1482.48284375
transcript.pyannote[658].speaker SPEAKER_01
transcript.pyannote[658].start 1483.12409375
transcript.pyannote[658].end 1486.00971875
transcript.pyannote[659].speaker SPEAKER_01
transcript.pyannote[659].start 1487.02221875
transcript.pyannote[659].end 1488.82784375
transcript.pyannote[660].speaker SPEAKER_01
transcript.pyannote[660].start 1490.34659375
transcript.pyannote[660].end 1491.81471875
transcript.pyannote[661].speaker SPEAKER_01
transcript.pyannote[661].start 1491.98346875
transcript.pyannote[661].end 1493.65409375
transcript.pyannote[662].speaker SPEAKER_01
transcript.pyannote[662].start 1494.34596875
transcript.pyannote[662].end 1495.42596875
transcript.pyannote[663].speaker SPEAKER_01
transcript.pyannote[663].start 1496.20221875
transcript.pyannote[663].end 1497.29909375
transcript.pyannote[664].speaker SPEAKER_01
transcript.pyannote[664].start 1498.17659375
transcript.pyannote[664].end 1498.41284375
transcript.pyannote[665].speaker SPEAKER_01
transcript.pyannote[665].start 1499.02034375
transcript.pyannote[665].end 1499.54346875
transcript.pyannote[666].speaker SPEAKER_01
transcript.pyannote[666].start 1500.31971875
transcript.pyannote[666].end 1502.90159375
transcript.pyannote[667].speaker SPEAKER_01
transcript.pyannote[667].start 1503.42471875
transcript.pyannote[667].end 1503.98159375
transcript.pyannote[668].speaker SPEAKER_01
transcript.pyannote[668].start 1505.07846875
transcript.pyannote[668].end 1505.28096875
transcript.pyannote[669].speaker SPEAKER_01
transcript.pyannote[669].start 1506.05721875
transcript.pyannote[669].end 1507.50846875
transcript.pyannote[670].speaker SPEAKER_01
transcript.pyannote[670].start 1508.01471875
transcript.pyannote[670].end 1508.41971875
transcript.pyannote[671].speaker SPEAKER_01
transcript.pyannote[671].start 1509.09471875
transcript.pyannote[671].end 1511.72721875
transcript.pyannote[672].speaker SPEAKER_01
transcript.pyannote[672].start 1512.45284375
transcript.pyannote[672].end 1514.39346875
transcript.pyannote[673].speaker SPEAKER_01
transcript.pyannote[673].start 1514.62971875
transcript.pyannote[673].end 1518.44346875
transcript.pyannote[674].speaker SPEAKER_01
transcript.pyannote[674].start 1518.79784375
transcript.pyannote[674].end 1520.51909375
transcript.pyannote[675].speaker SPEAKER_00
transcript.pyannote[675].start 1521.76784375
transcript.pyannote[675].end 1521.98721875
transcript.pyannote[676].speaker SPEAKER_01
transcript.pyannote[676].start 1522.39221875
transcript.pyannote[676].end 1524.06284375
transcript.pyannote[677].speaker SPEAKER_01
transcript.pyannote[677].start 1524.56909375
transcript.pyannote[677].end 1526.49284375
transcript.pyannote[678].speaker SPEAKER_01
transcript.pyannote[678].start 1527.47159375
transcript.pyannote[678].end 1527.97784375
transcript.pyannote[679].speaker SPEAKER_01
transcript.pyannote[679].start 1528.92284375
transcript.pyannote[679].end 1530.08721875
transcript.pyannote[680].speaker SPEAKER_01
transcript.pyannote[680].start 1530.77909375
transcript.pyannote[680].end 1531.55534375
transcript.pyannote[681].speaker SPEAKER_01
transcript.pyannote[681].start 1532.17971875
transcript.pyannote[681].end 1532.93909375
transcript.pyannote[682].speaker SPEAKER_01
transcript.pyannote[682].start 1535.20034375
transcript.pyannote[682].end 1537.27596875
transcript.pyannote[683].speaker SPEAKER_01
transcript.pyannote[683].start 1538.23784375
transcript.pyannote[683].end 1539.41909375
transcript.pyannote[684].speaker SPEAKER_01
transcript.pyannote[684].start 1540.58346875
transcript.pyannote[684].end 1542.45659375
transcript.pyannote[685].speaker SPEAKER_01
transcript.pyannote[685].start 1544.54909375
transcript.pyannote[685].end 1545.37596875
transcript.pyannote[686].speaker SPEAKER_01
transcript.pyannote[686].start 1546.21971875
transcript.pyannote[686].end 1547.14784375
transcript.pyannote[687].speaker SPEAKER_03
transcript.pyannote[687].start 1548.27846875
transcript.pyannote[687].end 1549.78034375
transcript.pyannote[688].speaker SPEAKER_01
transcript.pyannote[688].start 1548.70034375
transcript.pyannote[688].end 1551.94034375
transcript.pyannote[689].speaker SPEAKER_01
transcript.pyannote[689].start 1552.58159375
transcript.pyannote[689].end 1556.36159375
transcript.pyannote[690].speaker SPEAKER_03
transcript.pyannote[690].start 1552.61534375
transcript.pyannote[690].end 1555.87221875
transcript.pyannote[691].speaker SPEAKER_01
transcript.pyannote[691].start 1557.30659375
transcript.pyannote[691].end 1558.42034375
transcript.pyannote[692].speaker SPEAKER_01
transcript.pyannote[692].start 1559.16284375
transcript.pyannote[692].end 1560.95159375
transcript.pyannote[693].speaker SPEAKER_01
transcript.pyannote[693].start 1562.18346875
transcript.pyannote[693].end 1563.39846875
transcript.pyannote[694].speaker SPEAKER_01
transcript.pyannote[694].start 1564.56284375
transcript.pyannote[694].end 1565.91284375
transcript.pyannote[695].speaker SPEAKER_01
transcript.pyannote[695].start 1566.45284375
transcript.pyannote[695].end 1567.16159375
transcript.pyannote[696].speaker SPEAKER_01
transcript.pyannote[696].start 1567.46534375
transcript.pyannote[696].end 1569.25409375
transcript.pyannote[697].speaker SPEAKER_01
transcript.pyannote[697].start 1569.84471875
transcript.pyannote[697].end 1570.14846875
transcript.pyannote[698].speaker SPEAKER_01
transcript.pyannote[698].start 1570.38471875
transcript.pyannote[698].end 1572.15659375
transcript.pyannote[699].speaker SPEAKER_02
transcript.pyannote[699].start 1572.59534375
transcript.pyannote[699].end 1579.95284375
transcript.pyannote[700].speaker SPEAKER_01
transcript.pyannote[700].start 1573.50659375
transcript.pyannote[700].end 1574.13096875
transcript.pyannote[701].speaker SPEAKER_01
transcript.pyannote[701].start 1574.51909375
transcript.pyannote[701].end 1576.67909375
transcript.pyannote[702].speaker SPEAKER_01
transcript.pyannote[702].start 1577.38784375
transcript.pyannote[702].end 1578.82221875
transcript.pyannote[703].speaker SPEAKER_01
transcript.pyannote[703].start 1580.49284375
transcript.pyannote[703].end 1583.47971875
transcript.pyannote[704].speaker SPEAKER_01
transcript.pyannote[704].start 1584.59346875
transcript.pyannote[704].end 1585.57221875
transcript.pyannote[705].speaker SPEAKER_01
transcript.pyannote[705].start 1586.21346875
transcript.pyannote[705].end 1587.36096875
transcript.pyannote[706].speaker SPEAKER_01
transcript.pyannote[706].start 1588.17096875
transcript.pyannote[706].end 1588.84596875
transcript.pyannote[707].speaker SPEAKER_01
transcript.pyannote[707].start 1589.60534375
transcript.pyannote[707].end 1590.16221875
transcript.pyannote[708].speaker SPEAKER_01
transcript.pyannote[708].start 1591.09034375
transcript.pyannote[708].end 1594.29659375
transcript.pyannote[709].speaker SPEAKER_01
transcript.pyannote[709].start 1595.20784375
transcript.pyannote[709].end 1596.74346875
transcript.pyannote[710].speaker SPEAKER_01
transcript.pyannote[710].start 1598.02596875
transcript.pyannote[710].end 1598.59971875
transcript.pyannote[711].speaker SPEAKER_01
transcript.pyannote[711].start 1599.34221875
transcript.pyannote[711].end 1601.02971875
transcript.pyannote[712].speaker SPEAKER_01
transcript.pyannote[712].start 1601.33346875
transcript.pyannote[712].end 1607.37471875
transcript.pyannote[713].speaker SPEAKER_01
transcript.pyannote[713].start 1610.15909375
transcript.pyannote[713].end 1610.36159375
transcript.pyannote[714].speaker SPEAKER_01
transcript.pyannote[714].start 1613.33159375
transcript.pyannote[714].end 1614.46221875
transcript.pyannote[715].speaker SPEAKER_01
transcript.pyannote[715].start 1617.58409375
transcript.pyannote[715].end 1618.68096875
transcript.pyannote[716].speaker SPEAKER_01
transcript.pyannote[716].start 1625.16096875
transcript.pyannote[716].end 1625.75159375
transcript.pyannote[717].speaker SPEAKER_01
transcript.pyannote[717].start 1630.17284375
transcript.pyannote[717].end 1631.92784375
transcript.pyannote[718].speaker SPEAKER_01
transcript.pyannote[718].start 1632.68721875
transcript.pyannote[718].end 1634.74596875
transcript.pyannote[719].speaker SPEAKER_01
transcript.pyannote[719].start 1636.41659375
transcript.pyannote[719].end 1637.12534375
transcript.pyannote[720].speaker SPEAKER_01
transcript.pyannote[720].start 1637.29409375
transcript.pyannote[720].end 1638.13784375
transcript.pyannote[721].speaker SPEAKER_01
transcript.pyannote[721].start 1638.89721875
transcript.pyannote[721].end 1640.04471875
transcript.pyannote[722].speaker SPEAKER_01
transcript.pyannote[722].start 1641.58034375
transcript.pyannote[722].end 1643.18346875
transcript.pyannote[723].speaker SPEAKER_01
transcript.pyannote[723].start 1644.51659375
transcript.pyannote[723].end 1647.48659375
transcript.pyannote[724].speaker SPEAKER_01
transcript.pyannote[724].start 1648.02659375
transcript.pyannote[724].end 1651.21596875
transcript.pyannote[725].speaker SPEAKER_01
transcript.pyannote[725].start 1651.97534375
transcript.pyannote[725].end 1652.31284375
transcript.pyannote[726].speaker SPEAKER_01
transcript.pyannote[726].start 1653.73034375
transcript.pyannote[726].end 1656.64971875
transcript.pyannote[727].speaker SPEAKER_01
transcript.pyannote[727].start 1658.15159375
transcript.pyannote[727].end 1659.70409375
transcript.pyannote[728].speaker SPEAKER_01
transcript.pyannote[728].start 1660.10909375
transcript.pyannote[728].end 1661.13846875
transcript.pyannote[729].speaker SPEAKER_01
transcript.pyannote[729].start 1661.25659375
transcript.pyannote[729].end 1662.65721875
transcript.pyannote[730].speaker SPEAKER_01
transcript.pyannote[730].start 1663.23096875
transcript.pyannote[730].end 1664.27721875
transcript.pyannote[731].speaker SPEAKER_01
transcript.pyannote[731].start 1665.10409375
transcript.pyannote[731].end 1668.58034375
transcript.pyannote[732].speaker SPEAKER_01
transcript.pyannote[732].start 1669.30596875
transcript.pyannote[732].end 1670.80784375
transcript.pyannote[733].speaker SPEAKER_01
transcript.pyannote[733].start 1671.80346875
transcript.pyannote[733].end 1672.88346875
transcript.pyannote[734].speaker SPEAKER_01
transcript.pyannote[734].start 1673.55846875
transcript.pyannote[734].end 1676.15721875
transcript.pyannote[735].speaker SPEAKER_01
transcript.pyannote[735].start 1676.61284375
transcript.pyannote[735].end 1677.62534375
transcript.pyannote[736].speaker SPEAKER_01
transcript.pyannote[736].start 1677.77721875
transcript.pyannote[736].end 1678.72221875
transcript.pyannote[737].speaker SPEAKER_01
transcript.pyannote[737].start 1679.38034375
transcript.pyannote[737].end 1680.91596875
transcript.pyannote[738].speaker SPEAKER_01
transcript.pyannote[738].start 1681.48971875
transcript.pyannote[738].end 1684.17284375
transcript.pyannote[739].speaker SPEAKER_01
transcript.pyannote[739].start 1684.40909375
transcript.pyannote[739].end 1685.60721875
transcript.pyannote[740].speaker SPEAKER_01
transcript.pyannote[740].start 1686.43409375
transcript.pyannote[740].end 1686.68721875
transcript.pyannote[741].speaker SPEAKER_01
transcript.pyannote[741].start 1687.96971875
transcript.pyannote[741].end 1690.97346875
transcript.pyannote[742].speaker SPEAKER_01
transcript.pyannote[742].start 1691.63159375
transcript.pyannote[742].end 1692.52596875
transcript.pyannote[743].speaker SPEAKER_01
transcript.pyannote[743].start 1694.44971875
transcript.pyannote[743].end 1695.29346875
transcript.pyannote[744].speaker SPEAKER_01
transcript.pyannote[744].start 1696.35659375
transcript.pyannote[744].end 1698.19596875
transcript.pyannote[745].speaker SPEAKER_01
transcript.pyannote[745].start 1699.10721875
transcript.pyannote[745].end 1701.48659375
transcript.pyannote[746].speaker SPEAKER_01
transcript.pyannote[746].start 1702.14471875
transcript.pyannote[746].end 1703.59596875
transcript.pyannote[747].speaker SPEAKER_01
transcript.pyannote[747].start 1704.16971875
transcript.pyannote[747].end 1705.11471875
transcript.pyannote[748].speaker SPEAKER_01
transcript.pyannote[748].start 1705.58721875
transcript.pyannote[748].end 1706.14409375
transcript.pyannote[749].speaker SPEAKER_01
transcript.pyannote[749].start 1706.80221875
transcript.pyannote[749].end 1707.42659375
transcript.pyannote[750].speaker SPEAKER_01
transcript.pyannote[750].start 1708.54034375
transcript.pyannote[750].end 1709.97471875
transcript.pyannote[751].speaker SPEAKER_01
transcript.pyannote[751].start 1710.76784375
transcript.pyannote[751].end 1712.86034375
transcript.pyannote[752].speaker SPEAKER_01
transcript.pyannote[752].start 1713.83909375
transcript.pyannote[752].end 1717.99034375
transcript.pyannote[753].speaker SPEAKER_01
transcript.pyannote[753].start 1718.86784375
transcript.pyannote[753].end 1719.91409375
transcript.pyannote[754].speaker SPEAKER_01
transcript.pyannote[754].start 1720.80846875
transcript.pyannote[754].end 1722.39471875
transcript.pyannote[755].speaker SPEAKER_01
transcript.pyannote[755].start 1723.20471875
transcript.pyannote[755].end 1724.87534375
transcript.pyannote[756].speaker SPEAKER_01
transcript.pyannote[756].start 1725.26346875
transcript.pyannote[756].end 1728.70596875
transcript.pyannote[757].speaker SPEAKER_01
transcript.pyannote[757].start 1728.95909375
transcript.pyannote[757].end 1730.08971875
transcript.pyannote[758].speaker SPEAKER_01
transcript.pyannote[758].start 1731.65909375
transcript.pyannote[758].end 1732.75596875
transcript.pyannote[759].speaker SPEAKER_01
transcript.pyannote[759].start 1733.04284375
transcript.pyannote[759].end 1733.48159375
transcript.pyannote[760].speaker SPEAKER_01
transcript.pyannote[760].start 1734.34221875
transcript.pyannote[760].end 1735.08471875
transcript.pyannote[761].speaker SPEAKER_01
transcript.pyannote[761].start 1735.42221875
transcript.pyannote[761].end 1736.55284375
transcript.pyannote[762].speaker SPEAKER_01
transcript.pyannote[762].start 1737.14346875
transcript.pyannote[762].end 1738.08846875
transcript.pyannote[763].speaker SPEAKER_01
transcript.pyannote[763].start 1738.79721875
transcript.pyannote[763].end 1740.61971875
transcript.pyannote[764].speaker SPEAKER_01
transcript.pyannote[764].start 1741.46346875
transcript.pyannote[764].end 1741.93596875
transcript.pyannote[765].speaker SPEAKER_01
transcript.pyannote[765].start 1743.20159375
transcript.pyannote[765].end 1745.78346875
transcript.pyannote[766].speaker SPEAKER_01
transcript.pyannote[766].start 1746.71159375
transcript.pyannote[766].end 1748.07846875
transcript.pyannote[767].speaker SPEAKER_01
transcript.pyannote[767].start 1749.58034375
transcript.pyannote[767].end 1750.86284375
transcript.pyannote[768].speaker SPEAKER_01
transcript.pyannote[768].start 1751.68971875
transcript.pyannote[768].end 1756.34721875
transcript.pyannote[769].speaker SPEAKER_01
transcript.pyannote[769].start 1756.43159375
transcript.pyannote[769].end 1758.05159375
transcript.pyannote[770].speaker SPEAKER_01
transcript.pyannote[770].start 1758.15284375
transcript.pyannote[770].end 1758.77721875
transcript.pyannote[771].speaker SPEAKER_01
transcript.pyannote[771].start 1759.62096875
transcript.pyannote[771].end 1762.82721875
transcript.pyannote[772].speaker SPEAKER_01
transcript.pyannote[772].start 1763.46846875
transcript.pyannote[772].end 1765.69596875
transcript.pyannote[773].speaker SPEAKER_01
transcript.pyannote[773].start 1766.64096875
transcript.pyannote[773].end 1767.58596875
transcript.pyannote[774].speaker SPEAKER_01
transcript.pyannote[774].start 1767.87284375
transcript.pyannote[774].end 1769.13846875
transcript.pyannote[775].speaker SPEAKER_01
transcript.pyannote[775].start 1769.81346875
transcript.pyannote[775].end 1770.99471875
transcript.pyannote[776].speaker SPEAKER_01
transcript.pyannote[776].start 1771.28159375
transcript.pyannote[776].end 1775.55096875
transcript.pyannote[777].speaker SPEAKER_01
transcript.pyannote[777].start 1775.83784375
transcript.pyannote[777].end 1778.48721875
transcript.pyannote[778].speaker SPEAKER_01
transcript.pyannote[778].start 1779.26346875
transcript.pyannote[778].end 1780.86659375
transcript.pyannote[779].speaker SPEAKER_01
transcript.pyannote[779].start 1781.38971875
transcript.pyannote[779].end 1783.83659375
transcript.pyannote[780].speaker SPEAKER_01
transcript.pyannote[780].start 1784.03909375
transcript.pyannote[780].end 1784.05596875
transcript.pyannote[781].speaker SPEAKER_01
transcript.pyannote[781].start 1784.07284375
transcript.pyannote[781].end 1786.58721875
transcript.pyannote[782].speaker SPEAKER_01
transcript.pyannote[782].start 1786.90784375
transcript.pyannote[782].end 1789.40534375
transcript.pyannote[783].speaker SPEAKER_01
transcript.pyannote[783].start 1790.11409375
transcript.pyannote[783].end 1790.78909375
transcript.pyannote[784].speaker SPEAKER_01
transcript.pyannote[784].start 1791.26159375
transcript.pyannote[784].end 1792.40909375
transcript.pyannote[785].speaker SPEAKER_01
transcript.pyannote[785].start 1793.89409375
transcript.pyannote[785].end 1795.37909375
transcript.pyannote[786].speaker SPEAKER_01
transcript.pyannote[786].start 1795.80096875
transcript.pyannote[786].end 1796.86409375
transcript.pyannote[787].speaker SPEAKER_01
transcript.pyannote[787].start 1797.10034375
transcript.pyannote[787].end 1797.11721875
transcript.pyannote[788].speaker SPEAKER_02
transcript.pyannote[788].start 1797.11721875
transcript.pyannote[788].end 1797.72471875
transcript.pyannote[789].speaker SPEAKER_02
transcript.pyannote[789].start 1797.92721875
transcript.pyannote[789].end 1799.81721875
transcript.pyannote[790].speaker SPEAKER_02
transcript.pyannote[790].start 1800.61034375
transcript.pyannote[790].end 1802.11221875
transcript.pyannote[791].speaker SPEAKER_01
transcript.pyannote[791].start 1802.58471875
transcript.pyannote[791].end 1805.74034375
transcript.pyannote[792].speaker SPEAKER_02
transcript.pyannote[792].start 1804.84596875
transcript.pyannote[792].end 1812.03471875
transcript.pyannote[793].speaker SPEAKER_01
transcript.pyannote[793].start 1806.07784375
transcript.pyannote[793].end 1808.28846875
transcript.pyannote[794].speaker SPEAKER_01
transcript.pyannote[794].start 1809.06471875
transcript.pyannote[794].end 1809.87471875
transcript.pyannote[795].speaker SPEAKER_01
transcript.pyannote[795].start 1810.75221875
transcript.pyannote[795].end 1811.83221875
transcript.pyannote[796].speaker SPEAKER_01
transcript.pyannote[796].start 1812.03471875
transcript.pyannote[796].end 1812.38909375
transcript.pyannote[797].speaker SPEAKER_02
transcript.pyannote[797].start 1812.38909375
transcript.pyannote[797].end 1812.92909375
transcript.pyannote[798].speaker SPEAKER_01
transcript.pyannote[798].start 1812.42284375
transcript.pyannote[798].end 1812.89534375
transcript.pyannote[799].speaker SPEAKER_01
transcript.pyannote[799].start 1812.92909375
transcript.pyannote[799].end 1816.79346875
transcript.pyannote[800].speaker SPEAKER_01
transcript.pyannote[800].start 1817.29971875
transcript.pyannote[800].end 1819.12221875
transcript.pyannote[801].speaker SPEAKER_01
transcript.pyannote[801].start 1819.42596875
transcript.pyannote[801].end 1822.80096875
transcript.pyannote[802].speaker SPEAKER_01
transcript.pyannote[802].start 1823.96534375
transcript.pyannote[802].end 1825.01159375
transcript.pyannote[803].speaker SPEAKER_01
transcript.pyannote[803].start 1826.17596875
transcript.pyannote[803].end 1828.82534375
transcript.pyannote[804].speaker SPEAKER_01
transcript.pyannote[804].start 1829.36534375
transcript.pyannote[804].end 1829.88846875
transcript.pyannote[805].speaker SPEAKER_01
transcript.pyannote[805].start 1831.05284375
transcript.pyannote[805].end 1833.01034375
transcript.pyannote[806].speaker SPEAKER_01
transcript.pyannote[806].start 1843.96221875
transcript.pyannote[806].end 1845.05909375
transcript.pyannote[807].speaker SPEAKER_01
transcript.pyannote[807].start 1845.10971875
transcript.pyannote[807].end 1846.52721875
transcript.pyannote[808].speaker SPEAKER_01
transcript.pyannote[808].start 1847.62409375
transcript.pyannote[808].end 1848.97409375
transcript.pyannote[809].speaker SPEAKER_01
transcript.pyannote[809].start 1849.63221875
transcript.pyannote[809].end 1850.25659375
transcript.pyannote[810].speaker SPEAKER_01
transcript.pyannote[810].start 1853.96909375
transcript.pyannote[810].end 1854.96471875
transcript.whisperx[0].start 11.501
transcript.whisperx[0].end 39.937
transcript.whisperx[0].text 主席請院長請卓院長備詢副委員好您這陣子公私兩忙辛苦了自古有云國有明君清賦稅
transcript.whisperx[1].start 41.636
transcript.whisperx[1].end 71.005
transcript.whisperx[1].text 博瑤益明包物語 修養生息人民愛物 天地同感今天賴總統當選就任應該是國政清明德責四方主委院長 帶領國政應該是繁榮昌盛
transcript.whisperx[2].start 72.757
transcript.whisperx[2].end 100.889
transcript.whisperx[2].text 國泰民安院長就任已經4個月了從520到現在剛好4個月請問你有名包語感同身受有沒有看見人民的眼淚我們看一下從花蓮到地震到現在4月3號到現在
transcript.whisperx[3].start 102.324
transcript.whisperx[3].end 129.315
transcript.whisperx[3].text 人民的眼淚到今天已經五個多月五個月又十六天到今天為止花蓮的災民到現在還沒有辦法解決我們的國家在哪裡人民的苦難有沒有看見
transcript.whisperx[4].start 131.82
transcript.whisperx[4].end 160.655
transcript.whisperx[4].text 我們看一下這次的大地震我在可能卓院長已經很遠離太久了再讓你複習一下好如同921的大地震如此的嚴重有這麼多的災民在這裡哀嚎這麼多的民宅毀損我們就比較一下
transcript.whisperx[5].start 163.16
transcript.whisperx[5].end 178.024
transcript.whisperx[5].text 在2018年的0206花蓮大地震當時的受災戶是195戶現在的受災戶是10倍這個我想院長已經耳熟能詳了紅單黃單戶總共1949戶災民5000多人無家可歸五個多月過去了
transcript.whisperx[6].start 192.797
transcript.whisperx[6].end 220.622
transcript.whisperx[6].text 現在依然安身立命還是無漂流的扶貧不知道國家給他們的重振重建到底什麼時候才能夠完成院長我相信你到花蓮來看災難的時候是帶著誠意但是除了誠意以外是不是還應該有效率院長是
transcript.whisperx[7].start 224.005
transcript.whisperx[7].end 250.343
transcript.whisperx[7].text 要有效率好到今天為止花蓮的震災救災到目前為止這個效率你滿意嗎花蓮的狀況副委員比任何人都清楚我記得我們每次到花蓮跟副委員一起不管是公開還是底下的談話我們都深深為那個地方的狀況我們都非常的憂慮這是真的也謝謝副委員一再一再的關心
transcript.whisperx[8].start 251.311
transcript.whisperx[8].end 267.132
transcript.whisperx[8].text 但是光是從交通的安全問題每次大雨一來我們的交通部就費盡很多的心思我認為我們要長遠來處理這個事情這是一件另外我也知道現在花蓮包括呂樹葉有很多很多的陳情
transcript.whisperx[9].start 268.12
transcript.whisperx[9].end 268.44
transcript.whisperx[9].text 法定人數不足
transcript.whisperx[10].start 298.42
transcript.whisperx[10].end 300.981
transcript.whisperx[10].text 請問院長 要不要遵守國會三黨共同簽署對人民的承諾 院會三讀通過 要不要執行
transcript.whisperx[11].start 323.715
transcript.whisperx[11].end 351.692
transcript.whisperx[11].text 立法院監督行政院對立法院的各項決議我們當然是本的憲法的職責充分的尊重那執行的過程我們會考量更多的因素但是無論如何都會向立法院就執行面來做報告好等下再跟您探討一下台南大地震跟花蓮大地震看一下2016年台南大地震
transcript.whisperx[12].start 353.369
transcript.whisperx[12].end 382.612
transcript.whisperx[12].text 復幹大樓重建每戶最高400萬元花蓮大地震8年以後每戶重建紅丹戶屋島一戶最多補助30坪一坪12萬360萬面對嚴重的天災一樣是地震在臺南跟花蓮卻有大不同而且現在我們再看一下
transcript.whisperx[13].start 385.768
transcript.whisperx[13].end 407.114
transcript.whisperx[13].text 在當時這個臺南是8年前花蓮是8年後這8年發生了什麼事情花蓮的青年住宅一平8點47萬去絕標8點47萬去絕標
transcript.whisperx[14].start 416.167
transcript.whisperx[14].end 444.081
transcript.whisperx[14].text 而內政部在花蓮這兩年絕標的中美好市社會住宅一坪16.96萬絕標然後美倫安居18.34萬絕標一樣的房子花蓮的青年住宅縣政府發包的是有國家認證耐政標章還得到行政院的磐石獎
transcript.whisperx[15].start 445.831
transcript.whisperx[15].end 475.005
transcript.whisperx[15].text 已經蓋好了發包一瓶是8.47萬現在內政部發包的這兩年發包的是16.96萬跟18.34萬物價漲了一倍多2016年台南一戶是補助400萬現在今年花林一戶是補助360萬所以立法院所通過的決議是希望
transcript.whisperx[16].start 478.052
transcript.whisperx[16].end 501.725
transcript.whisperx[16].text 7月16號的主決議是希望趕快把災民的重建能夠迅速來完成因為我們的紅單戶修建的部分整建的部分補助8成5但是紅單戶屋倒了要拆了
transcript.whisperx[17].start 503.697
transcript.whisperx[17].end 532.65
transcript.whisperx[17].text 到現在還沒有一個能夠讓他們安身立命清楚的一個方式所以由立法院三黨共同簽署補助八成五現在興建成本的八成五而且就很簡單內政部自己的絕標價格在花蓮的中美好市社會住宅北龍安居社會住宅現在是18萬18萬4千塊一坪補助八成五盡快讓人民
transcript.whisperx[18].start 533.885
transcript.whisperx[18].end 559.638
transcript.whisperx[18].text 安身立命的事能夠解決本席再強調一下從4月3號到現在已經5個多月了院長據聞本席追內政部之後內政部在9月11號發文到行政院希望行政院趕快就相關的辦法來核定院長什麼時候可以核定
transcript.whisperx[19].start 560.72
transcript.whisperx[19].end 579.099
transcript.whisperx[19].text 剛剛跟委員報告我們在9月16號已經經由這個國發會現在在審議當中我們會緊述的緊述是什麼時候緊述我看國發會安排的時辰那不會讓委員失望是面對災民不會讓花蓮的鄉親失望是面對災民欸不會讓花蓮的鄉親失望
transcript.whisperx[20].start 581.312
transcript.whisperx[20].end 582.913
transcript.whisperx[20].text 院長本期讓你看一下2018年的地震我們看一下
transcript.whisperx[21].start 610.06
transcript.whisperx[21].end 635.105
transcript.whisperx[21].text 2018年2月6號大地震花蓮我們4月26號花蓮縣政府重建的安心宅就動工經過所有在民的協調所有社會慈善資源的募集中央政府的支持加在民的溝通加上全國的招商在公開說明會
transcript.whisperx[22].start 638.171
transcript.whisperx[22].end 667.686
transcript.whisperx[22].text 在規劃設計發包然後動工2個月20天2018年2月6號的地震2018年4月26號縣政府就動工了1年多2年完工抗八旗地震有耐震標章又是綠建築本席在這裡請教現在已經5個多月了
transcript.whisperx[23].start 669.995
transcript.whisperx[23].end 696.24
transcript.whisperx[23].text 還要經過立法院三黨共事達成主決議院會通過現在還在等行政院有沒有感同身受民包當然有本席今天聽到你說了謝謝院長說你會盡快本席在等看您什麼時候把立法院的主決議能夠來落實讓這些災民
transcript.whisperx[24].start 699.69
transcript.whisperx[24].end 727.169
transcript.whisperx[24].text 他們不是有政府的承諾補助以後還要開說明會還要開重建會議還要去招商還要去發包還要等到動工動工以後還要等到完工而且這一次院長這不是以前的12樓這次都是15樓16樓密集的集合式高層住宅這個重建之路啊非常的漫長
transcript.whisperx[25].start 729.099
transcript.whisperx[25].end 758.319
transcript.whisperx[25].text 所以院長本席相信再一次講您擔任閣奎應該是繁榮昌盛國泰民安民眾的苦難民眾的眼淚人民的眼淚政府的大官到底有沒有看見有沒有感同身受本席就恭候看院會什麼時候核定
transcript.whisperx[26].start 759.384
transcript.whisperx[26].end 786.447
transcript.whisperx[26].text 到底我們還要等多久再過來這次地震的災民不只是只有受災戶還有這麼多的我們產業包括觀光包括農業花東的人民還在走這種道路本席跟你介紹一下現在的蘇華公路在清朝啊
transcript.whisperx[27].start 788.783
transcript.whisperx[27].end 815.115
transcript.whisperx[27].text 叫做蘇花古道在日據時代叫做臨海道路現在全國大概只有花東人民還比照孟加拉人民我們是一個已開發國家一個國家還有兩種人民我們還在走百年前的蘇花古道下個雨就灘掉
transcript.whisperx[28].start 820.205
transcript.whisperx[28].end 846.218
transcript.whisperx[28].text 請問一下院長今年到現在你知道花蓮成為孤島幾次了 院長報告委員這是我們共同關切的問題我們現在成為孤島幾次了每次大雨來他就會交通中斷甚至我們在台北感受不到的時候他也會交通中斷 院長你不曉得本席提醒你一下齁
transcript.whisperx[29].start 848.442
transcript.whisperx[29].end 876.328
transcript.whisperx[29].text 地震後到今天有八次的鐵公路的中斷八年成為孤島八次這是台灣這塊土地上的人民啊大陸三級城市都不如啊八次鐵公路中斷八年成為孤島請問一下我們說好的這些告警系統
transcript.whisperx[30].start 878.672
transcript.whisperx[30].end 899.555
transcript.whisperx[30].text 從馬政府時代就通過的預算這8年來執行到現在我們的告警系統一直在出包我們的告警系統我們的藍絲網到底在哪裡怎麼樣能夠把這些石頭攔住怎麼樣能夠紓解請問一下院長最基本的藍絲網什麼時候可以做好
transcript.whisperx[31].start 900.762
transcript.whisperx[31].end 921.7
transcript.whisperx[31].text 好跟委員報告我們跟大自然的競爭就是這個樣子要跟他和平相處所以每次交通中斷我們就啟動海運啟動空運我們也拜託民航的業者再加強告警的系統自從上市我們發現鐵路的告警系統不足之外我們也已經要求鐵路局要全面的加強什麼叫藍絲系統你看一下這是最簡單的
transcript.whisperx[32].start 930.848
transcript.whisperx[32].end 935.069
transcript.whisperx[32].text 到底這條路什麼時候可以讓人民安全回家
transcript.whisperx[33].start 938.291
transcript.whisperx[33].end 967.61
transcript.whisperx[33].text 委員我跟你說我跟你報告我在當地我們在開現場說明的時候這個路就是這樣子他石頭還在下來我非常清楚包括居民鄉民包括工程人員的安全的問題我跟你一樣感同身受那至於工程怎麼樣進行怎麼樣完成是不是容許我們新的交通部長陳部長跟你說明一下他的了解待會又輪到他不要急待會輪到他不要急現在是這樣子 院長這是一個最基本的
transcript.whisperx[34].start 968.171
transcript.whisperx[34].end 981.407
transcript.whisperx[34].text 一個藍石網對公路也好對鐵路我現在本席都沒有講到說明隧道還是傾斜鋼板現在一個最基本的一個藍石網
transcript.whisperx[35].start 983.052
transcript.whisperx[35].end 1008.694
transcript.whisperx[35].text 至少你整條路 什麼地方 會攤下來的地方如果公路總局不知道 交通部不知道那個就是完全跟人民是脫節的交通部如果知道的話 請告訴人民這些地方你要怎麼做 因為計畫要馬上出來你可以先說到本席來 今天本席沒有要問你
transcript.whisperx[36].start 1010.56
transcript.whisperx[36].end 1039.767
transcript.whisperx[36].text 告警系統做了這麼多年到現在我們看一下那鐵路又出軌告警系統竟然還會讓鐵路出軌本需要再讓你瞭解一下喔院長為什麼要我們這麼沉重的來討論這個問題人民要怎麼活下去啊我們的觀光做成什麼樣子啊
transcript.whisperx[37].start 1041.055
transcript.whisperx[37].end 1069.163
transcript.whisperx[37].text 花蓮就兩大產業 第一個叫觀光產業 第二個叫做農業觀光產業 現在我們住房率暑假5%因為路又斷了包委員 交通部其實很努力在做補助啦最慘的暑假 最慘的暑假 5%院長 您可能還沒有清楚狀況 本席再說明一次
transcript.whisperx[38].start 1071.793
transcript.whisperx[38].end 1092.794
transcript.whisperx[38].text 這個5%代表什麼意思暑假應該是百分之百住房的現在5%是什麼意思花蓮的觀光產業現在代售的民宿要sale的民宿將近1000家請問員工的薪水要不要付請問營養的貸款要不要付
transcript.whisperx[39].start 1095.439
transcript.whisperx[39].end 1123.817
transcript.whisperx[39].text 這是系統性的風暴都要發生的我剛剛在施政報告都有提到這兩部分但是我們沒有看到到底具體的作為而且有效的作為今天政府不是說我有做是你做的有沒有效國家龐大的資源都在你手上做的有沒有效能不能夠把災民救出來這才是重點啦不能說我有做啊
transcript.whisperx[40].start 1124.898
transcript.whisperx[40].end 1152.544
transcript.whisperx[40].text 但是做不到啊沒有做到更快更多更好我當然願意全力的來檢討那我們是全力在做但是有很多自然的狀況很阻礙我們各種進展你剛剛說自然的狀況那我們現在講我們現有的狀況這不是大自然因素造成的我們看一下現在台北花蓮的班機我們看一下班機我請問一下院長
transcript.whisperx[41].start 1154.909
transcript.whisperx[41].end 1181.047
transcript.whisperx[41].text 班機你們到底是把花蓮看作什麼樣的一個地方一個觀光的城市過去到2016年臺北花蓮2600班次一年現在200多班花蓮機場是全國最漂亮的機場我們交通部是睡著了嗎
transcript.whisperx[42].start 1182.398
transcript.whisperx[42].end 1211.09
transcript.whisperx[42].text 報告委員陳部長已經解決解決這個問題了還有方法有時辰有沒有解決你找時間再來跟我說我今天是溫院長我是把現在的數字讓你知道好的謝謝2600班到2016年民進黨執政8年後剩200班一個這麼漂亮的城市變成200班再過來你們到底有沒有國家的資源去騰騎這個地方
transcript.whisperx[43].start 1212.762
transcript.whisperx[43].end 1236.588
transcript.whisperx[43].text 為什麼航空公司都在賺錢EPS3塊4塊5塊一年為什麼黃金航線沒有去綁國內應該有的責任線因為這個航線是要養的你把它養起來未來它長大了就不用你再養陳部長有這個計畫已經在什麼時候實施了我們將會有定期航班禮拜一到禮拜天都會有委員也很高興你這麼說但是我們再看
transcript.whisperx[44].start 1241.55
transcript.whisperx[44].end 1265.908
transcript.whisperx[44].text 我們再看一下海運齁臺灣四周環海竟然沒有一個比較明確的一個藍色公路可以繞著這麼漂亮的臺灣島讓全世界的觀光客可以來臺灣看一下臺灣島有多美你看一下一個利納倫201到2016年都還201班
transcript.whisperx[45].start 1273.136
transcript.whisperx[45].end 1289.661
transcript.whisperx[45].text 政府沒有關心沒有救助沒有支持一個這麼美麗的臺灣就在太平洋冰既然一個沿海的漏島的藍色公路都沒有這個就是我們的政府大有為的政府
transcript.whisperx[46].start 1291.363
transcript.whisperx[46].end 1320.145
transcript.whisperx[46].text 本席現在有明確在國會殿堂正式正式跟院長討論這個事情也正式告知以後不要說你不知道現在已經講過了交通部已經在計畫這個事情了再跟委員說接下來怎麼做接下來怎麼做就多多拜託我們看一下我們的千萬的觀光大國臺灣人民這麼善良
transcript.whisperx[47].start 1321.345
transcript.whisperx[47].end 1348.761
transcript.whisperx[47].text 明明我們可以好好的做一個觀光的台灣的一個觀光的城市現在 院長我們今天要資料 等於是啊國民黨團總召集人 連要資料都不敢給啊觀光署現在不敢給啊現在啊 外客來台啊總觀光支出是多少 一到七月他們要不到資料不給
transcript.whisperx[48].start 1350.972
transcript.whisperx[48].end 1361.761
transcript.whisperx[48].text 報告委員目前已經超過500萬目前超過500萬很好了不起我們看一下這兩年亞洲我們周邊國家是怎麼樣看一下2023年台灣648萬香港3400萬泰國2800萬日本2500萬
transcript.whisperx[49].start 1374.291
transcript.whisperx[49].end 1400.304
transcript.whisperx[49].text 馬來西亞2014萬新加坡這麼蛋丸之力的新加坡1360萬越南1260萬韓國1100萬台灣648萬我們的行政部門都生病了台灣有哪裡不好台灣比不上越南比不上泰國比不上新加坡比不上馬來西亞比不上韓國
transcript.whisperx[50].start 1403.07
transcript.whisperx[50].end 1431.04
transcript.whisperx[50].text 這是我們的臺灣這不用解釋因為這數字說明切這還是觀光署自己給的數字我們就取一個很簡單的很高檔的全世界都有的climate那全世界有70個點臺灣竟然沒有一個climate都沒有一個點都沒有世界高檔的消費群來的一個基本像樣的國際級的一個度假村臺灣都沒有
transcript.whisperx[51].start 1432.042
transcript.whisperx[51].end 1461.098
transcript.whisperx[51].text 我們再看一下連日本的一個石碗島一個島只有4萬多人都有climbing4萬人的石碗島都有臺灣2千3萬人所以我們的觀光這8年到底做了什麼所以我想院長我們還有很多可以切磋的機會所以本席今天真的是非常誠意的一一來跟院長就教也讓所有院長能夠
transcript.whisperx[52].start 1462.944
transcript.whisperx[52].end 1488.422
transcript.whisperx[52].text 我們再看一下陳部長我相信您未來的表現可能有機會做得不錯但是我們還是要來看一下到底新政府是用人為親還是用人為財我們從2016年開始看交通部長賀成旦先生少數也是土木工程也當過交通局的局長
transcript.whisperx[53].start 1490.85
transcript.whisperx[53].end 1499.335
transcript.whisperx[53].text 吳宏謀先生﹑環境工程博士﹑林佳龍先生﹑耶魯碩士﹑台中市市長王國才先生﹑交大運營所博士
transcript.whisperx[54].start 1512.469
transcript.whisperx[54].end 1536.957
transcript.whisperx[54].text 也當過高雄市政府的交通局長李孟彥部長至少是河南水利工程方面的專業也當過台南市政府水利局長現在的陳世凱部長一路東海大學政治系政治研究所臺中市議員交通是有多麼的專業跟經驗的需要
transcript.whisperx[55].start 1540.609
transcript.whisperx[55].end 1568.502
transcript.whisperx[55].text 我們國家多麼重要一個部會你們用人了不起很大膽把過去用人的規範完全打破本席沒有干涉左院長的用人權我們現在是尊重但是我們用睜大眼睛來看下次可能就不是這樣我們尊重你的用人權但是用人有沒有真正的專業
transcript.whisperx[56].start 1570.492
transcript.whisperx[56].end 1598.309
transcript.whisperx[56].text 本席在這裡要先送你一張報告我一句話從剛剛部長的幾句答話你也知道他非常的深入阿他非常的努力在了解所有的交通狀況2024年9月8號本席上了火車阿已經上了火車然後通知我說阿路又斷了所以阿要請我下車我們全車所有列車上的人通通下車了然後
transcript.whisperx[57].start 1599.417
transcript.whisperx[57].end 1599.677
transcript.whisperx[57].text 發言委員:傅崐萁
transcript.whisperx[58].start 1630.216
transcript.whisperx[58].end 1658.514
transcript.whisperx[58].text 本席現在跟您探討一下現在我們有3兆多的預算今年比去年超編了很多增加2800多億雖然我們還有很多機會碰面但是本席還是要提醒你一下提醒院長一下這個廣宣費用大內宣就像2758號一樣
transcript.whisperx[59].start 1660.405
transcript.whisperx[59].end 1684.567
transcript.whisperx[59].text 臺灣躲在自己門裡面在玩大內宣本席這樣子啦齁到底為什麼大內宣要多65.4%院長可能要準備齁是為什麼要多這麼多錢還要打炸所有打炸生態系哇這不得了這名字取得齁打炸生態系要73億齁
transcript.whisperx[60].start 1688.779
transcript.whisperx[60].end 1710.835
transcript.whisperx[60].text 2022年蔡總統蔡政府是14億打詐國家隊2023年打詐專責辦公室13億賴政府打詐生態系要73億這是院長您宣布的本席還不了解但是呢看一下這個法務部的官網齁我們現在詐騙的情況
transcript.whisperx[61].start 1714.585
transcript.whisperx[61].end 1741.56
transcript.whisperx[61].text 108年詐騙案有34947件到去年229000件這不得了6倍真的是了不起越打越炸錢越花越多越打越炸本席希望 院長你要斟酌我們看一下台電現在台電到底會在
transcript.whisperx[62].start 1743.22
transcript.whisperx[62].end 1755.672
transcript.whisperx[62].text 我們賴政府下面會變成什麼樣的一個狀況就看今年跟去年去年的負債兩兆3311億今年負債兩兆4979億多了1600億好資本額膨脹了1000億因為政府拿錢給他累積虧損4349億到底台電怎麼樣才不會倒
transcript.whisperx[63].start 1769.895
transcript.whisperx[63].end 1792.225
transcript.whisperx[63].text 就是能源政策我們一定會安排一個能源政策讓院長到立法院來跟全國國人來說清楚我們光看一下3兆3兆多的總預算我們看一下9千億白花打水漂2兆風力發電的大餅國產化風力發電跳票
transcript.whisperx[64].start 1793.919
transcript.whisperx[64].end 1811.952
transcript.whisperx[64].text 多的價差9千億多給人家9千億現在沒有了委員9千億不是用在今年吶那是好幾年的預算吶這是政府的合約院長政府的合約那是連續預算那是111年開始不是今年淹滅9千億這個我們再度的說明都賴總統不是那個9千億還有後面這一題吼現在不得了啊賴總統協助企業進一轉型要再9千億
transcript.whisperx[65].start 1824.091
transcript.whisperx[65].end 1832.595
transcript.whisperx[65].text 哇 這不得了光電乾坑政策 圖利光電廠商 院長今年我們還有很多次見面的機會
transcript.whisperx[66].start 1854.484
transcript.whisperx[66].end 1854.808
transcript.whisperx[66].text 好 謝謝傅委員
會議時間 2024-09-20T10:00:00+08:00
委員發言時間 14:32:58 - 15:03:53
會議名稱 第11屆第2會期第1次會議(事由:行政院院長施政報告並備質詢)
IVOD_ID 154857
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/154857
日期 2024-09-20
會議資料.會議代碼 院會-11-2-1
會議資料.屆 11
會議資料.會期 2
會議資料.會次 1
會議資料.種類 院會
會議資料.標題 第11屆第2會期第1次會議
影片種類 Clip
開始時間 2024-09-20T14:32:58+08:00
結束時間 2024-09-20T15:03:53+08:00
支援功能[0] ai-transcript
支援功能[1] gazette