iVOD / 149147

Field Value
IVOD_ID 149147
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/149147
日期 2024-02-27
會議資料.會議代碼 院會-11-1-2
會議資料.會議代碼:str 第11屆第1會期第2次會議
會議資料.屆 11
會議資料.會期 1
會議資料.會次 2
會議資料.種類 院會
會議資料.標題 立法院第11屆第1會期第2次會議
影片種類 Clip
開始時間 2024-02-27T10:42:45+08:00
結束時間 2024-02-27T11:13:39+08:00
影片長度 00:30:54
支援功能[0] ai-transcript
支援功能[1] gazette
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ee9543ba39e9681068d28c2096d47e824c3dd4484df4233ff8ba9b0039caa7a668389693bd1b95a25ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 陳雪生
委員發言時間 10:42:45 - 11:13:39
會議時間 2024-02-27T09:00:00+08:00
會議名稱 第11屆第1會期第2次會議(事由:一、對行政院院長提出施政方針及施政報告繼續質詢。 二、2月23日上午9時至10時為國是論壇時間。 三、2月27日下午1時50分至2時30分為處理臨時提案時間。)
gazette.lineno 504
gazette.blocks[0][0] 陳委員雪生:(10時42分)謝謝主席。陳院長、各部會首長,大家早安。是不是請主席請陳院長備詢?
gazette.blocks[1][0] 主席:麻煩陳院長備詢。
gazette.blocks[2][0] 陳院長建仁:陳委員早,恭喜委員當選連任。
gazette.blocks[3][0] 陳委員雪生:院長早安。最近這幾天發生金廈水域大陸漁民不幸罹難的事情,間接影響到馬祖的海域。部長,您最近有沒有提到陸海警闖金門禁限制水域,我們要加強取締,必要時予以驅離,有沒有講這句話?
gazette.blocks[4][0] 陳院長建仁:在金門是有禁限的水域,當有大陸的漁船進來的時候,我們確實是希望能夠請他們儘快撤離。
gazette.blocks[5][0] 陳委員雪生:因為事情一發生,我非常關切,金門的事情衍生到馬祖,對於我們馬祖海巡的部分,我也跟海巡隊長講,我們保持警戒,追逐的事情先暫時避免,因為金廈的事情還沒處理好,所以在兩馬鬧元宵的時候,我們的縣長、議長也到彼岸去,跟大陸領導在那邊的氣氛都還很不錯,也就是金門、馬祖和他們的關係還滿好的,雖然他們有三條海監船在離我們5浬的地方也在宣示,但是一切還滿平和的。最近我們的海巡署周署長也做了一些動作,也比較低調一點。
gazette.blocks[6][0] 管主任委員碧玲:是。
gazette.blocks[7][0] 陳委員雪生:我是建議,在法律跟人道的部分能夠把它切割,畢竟人死為大。大陸的三無船、也就是我們簡稱的白船,是沒有牌照的,它來這邊有兩個目的,一個是我們金門、馬祖的島礁比較多、漁產比較多,它是來釣魚的;一種是來割網的、來竊盜的,所以在海巡跟海警來講的話,他們雙方在檯面下都有默契,是共同打擊犯罪跟取締的目標。但是海巡發生這件事情,是漁船的船尾勾到了底下,據我的瞭解……
gazette.blocks[8][0] 管主任委員碧玲:是。
gazette.blocks[9][0] 陳委員雪生:也有可能是它的人掉到海裡去死亡,也有可能是我們海巡在執法過程中,我們的人掉到海裡面去死亡,這種悲劇才會有。
gazette.blocks[10][0] 管主任委員碧玲:跟委員報告,像去年的4月在一次執勤的時候,也是落海4位,其中有3位就是我們的船員,好在那個時候總數是3艘船,所以全部都救得起來。所以海巡同仁在執法的時候知道自己也是在搏命,因此跟委員報告,絕對不可能說我們的船比它小的情況下,我們的同仁會想要去撞這艘船,這個絕對不會是事實……
gazette.blocks[11][0] 陳委員雪生:管主任委員……
gazette.blocks[12][0] 管主任委員碧玲:是,一定,跟委員報告。
gazette.blocks[13][0] 陳委員雪生:我不會幫海巡講話,也不會幫大陸講話……
gazette.blocks[14][0] 管主任委員碧玲:我們案情就是請檢察官來還原。
gazette.blocks[15][0] 陳委員雪生:我在持平的立場,是說這種悲劇發生了……
gazette.blocks[16][0] 管主任委員碧玲:是,我們很遺憾。
gazette.blocks[17][0] 陳委員雪生:不是我們樂意見到的。
gazette.blocks[18][0] 管主任委員碧玲:是的。
gazette.blocks[19][0] 陳委員雪生:今天我們希望把法律的部分跟人道的部分,分為兩部分來處理。
gazette.blocks[20][0] 管主任委員碧玲:我們一直都是希望朝向人道、撫慰的方式,朝向這裡一起來談判,但是整個談判的環境,我方是如此,但是對方我們也希望是如此。
gazette.blocks[21][0] 陳委員雪生:因為大陸老百姓他搞不清楚狀況,群情激憤啊!所以目前在金廈海域有白船在追逐我們海巡的事情。所以我們海巡在這個時候需要忍耐,我們戒備就好了。
gazette.blocks[22][0] 管主任委員碧玲:從事件發生以後,我也特別指示,一定是冷靜、理智來進行我們常態性的巡護……
gazette.blocks[23][0] 陳委員雪生:我們低調……
gazette.blocks[24][0] 管主任委員碧玲:是,事實上目前……
gazette.blocks[25][0] 陳委員雪生:不要繼續挑釁。
gazette.blocks[26][0] 管主任委員碧玲:沒有,海巡不會挑釁。
gazette.blocks[27][0] 陳院長建仁:我們從來沒有挑釁。
gazette.blocks[28][0] 管主任委員碧玲:海巡不會挑釁。
gazette.blocks[29][0] 陳委員雪生:像周署長最近做的事情很好,對不對?
gazette.blocks[30][0] 管主任委員碧玲:我指派他去上香……
gazette.blocks[31][0] 陳委員雪生:就人命的部分,我們跟他道歉嘛,這部分有什麼關係?
gazette.blocks[32][0] 管主任委員碧玲:我特別指派他要到金門去,然後請他上香,他也接見了家屬,他都做了。
gazette.blocks[33][0] 陳委員雪生:好,謝謝。我想借用總質詢的時間……
gazette.blocks[34][0] 管主任委員碧玲:我們很希望在這個氣氛之下能夠有進展,但是有很多提出來希望我們去做的事情,事實上真的是很難,我們很希望、很希望趕快回到人道、撫慰……
gazette.blocks[35][0] 陳委員雪生:謝謝,管主任委員,謝謝,好不好?
gazette.blocks[36][0] 管主任委員碧玲:謝謝。
gazette.blocks[37][0] 陳委員雪生:這件事情我在這邊再次提醒……
gazette.blocks[38][0] 管主任委員碧玲:是,謝謝委員,謝謝委員。
gazette.blocks[39][0] 陳委員雪生:我們跟大陸不要為了小事情把兩岸人民的感情造成一種傷害,好不好?
gazette.blocks[40][0] 管主任委員碧玲:是,我瞭解,委員也幫了很多忙……
gazette.blocks[41][0] 陳委員雪生:金門跟馬祖我們跟彼岸非常地好。
gazette.blocks[42][0] 管主任委員碧玲:縣政府跟縣議會也都幫了很多忙,我們都非常地感謝,我們很遺憾。
gazette.blocks[43][0] 陳委員雪生:好,我們也希望一直做潤滑劑……
gazette.blocks[44][0] 管主任委員碧玲:是,我們很希望趕快。
gazette.blocks[45][0] 陳委員雪生:希望能夠解決這方面問題……
gazette.blocks[46][0] 管主任委員碧玲:是,我們很希望在人道、撫慰的部分,集中到人道、撫慰的部分,朝向這裡我們好好地協商,然後來解決這件事情,我們有很大的誠意。
gazette.blocks[47][0] 陳委員雪生:好,希望管主任委員您儘快地把這件事情平復,好不好?謝謝你。
gazette.blocks[48][0] 管主任委員碧玲:我們很努力,我們很努力。
gazette.blocks[49][0] 陳委員雪生:繼續我想請教院長……
gazette.blocks[50][0] 陳院長建仁:是。
gazette.blocks[51][0] 陳委員雪生:飛安很重要吧?
gazette.blocks[52][0] 陳院長建仁:飛安,當然。
gazette.blocks[53][0] 陳委員雪生:飛行安全如果沒有的話,我們寧可把機場關閉嘛,對不對?
gazette.blocks[54][0] 陳院長建仁:是,當然。
gazette.blocks[55][0] 陳委員雪生:我們也不一定要飛,會造成人命的話,是不是?
gazette.blocks[56][0] 陳院長建仁:是。
gazette.blocks[57][0] 陳委員雪生:85年4月5號,我們馬祖發生空難,國華航空飛機失事,6個人死亡,其中包含我們前任楊綏生縣長也在飛機上,他是逃命出去的,甚至還救了一些人,我們非常感佩。
gazette.blocks[57][1] 民國86年8月10號,國華航空又失事了,16個人全數罹難,其中包含了我弟弟、我弟媳婦、我姪女、我親家母5個人,16個人,我們家占了五分之一,所以這種悲痛不是那種沒坐過飛機的人……有些人沒坐過飛機,有些人不敢坐飛機,有一些人有懼高症,那種痛苦不是向那些人能夠形容的。我為什麼要去選立法委員?我就是為了這件事情!我不停地呼籲、不停地呼籲我們的機場要改善,這很重要。
gazette.blocks[57][2] 好,110年5月10號我們有一架飛機因為南竿機場側風,它的右輪打到頭端以後降落,機場爆胎,所幸人員安全,所以這一些都是全國最不安全的機場,比較不安全的機場好了啦!應該是馬祖的南竿機場跟北竿機場,院長您承認這件事嗎?
gazette.blocks[58][0] 陳院長建仁:我想南竿跟北竿機場確實是有可以精進的地方。
gazette.blocks[59][0] 陳委員雪生:下去的時候看到側風會怕啊!是不是能夠安全降落……
gazette.blocks[60][0] 陳院長建仁:是。
gazette.blocks[61][0] 陳委員雪生:會不會歪掉?這是我們心中的痛嘛!是不是?所以目視機場到目前為止,因為氣候的因素、天候的因素,南北竿的航班經常停飛,10年來一共有3,625架次無法起降,天候的因素,側風風太大、霧太大、一陣霧飄來,立榮航空有3,593架次,華信航空有32架次無法降落,所以北竿機場擴建,我從85年當第三屆國大代表的時候就已經提出北竿機場改善,因為那時候就是我弟弟飛機失事;90年到98年,時任縣長,正好我當縣長,我更強力地推動北竿機場的改善方案;103年雪生要求行政院要給馬祖一個安全的機場、3C的機場;到104年民航局提出來了,馬祖北竿3C機場綜建規劃方案;111年行政院核定原則支持這件事情;112年7月通過環評的審查,環境影響評估通過了;到現在113年2月15號,最近國發會開一個會,找了我們縣長、鄉長開了一個會,表示審查已經差不多了,要送到行政院去核定。去年10月6號本席質詢院長的時候,院長怎麼回答我?我放一片影片給您看好不好?
gazette.blocks[61][1] (播放影片)
gazette.blocks[62][0] 陳委員雪生:好,院長您在10月6號你回答我嘛!說要核定。
gazette.blocks[63][0] 陳院長建仁:對,那現在委員的投影片也講說現在國發會已經審議完,我請……
gazette.blocks[64][0] 陳委員雪生:我相信院長你還沒看過,還沒看過……
gazette.blocks[65][0] 陳院長建仁:對,我請……
gazette.blocks[66][0] 龔主任委員明鑫:報告委員,因為2月15號我們大概原則上有召開會議,大概原則是通過了嘛!裡面大家有提議的唯一有一些concern的就是機場在維修的時間,現在大概預估要七年多,大家覺得這個時間可能比較長,是不是就是請交通部這邊再跟民航局再討論一下,它實施的工序也好或方法也好或夜間施工等等的一些情況,看能不能把那個時間再縮短,我們大概就希望這個想好以後大概2月底就會報還給我們,我們就儘快地報給行政院,行政院就可以核定。
gazette.blocks[67][0] 陳委員雪生:好,龔主委,你講得很好,您在開的會裡面,北竿機場改建的時程要多遠我告訴你,第一期要11年9個月,第一期幹什麼呢?用地取得跟設計要4年6個月,那時候我這一任又卸任了,我又看不到了,第二、工期要7年3個月,也就是一共要11年9個月,這是第一期的部分,還有第二期。第二期是什麼呢?新航站的工程需要蓋多久呢?10年3個月,一共加起來要多久呢?要24年2個月。院長先生,你幾歲了啊?
gazette.blocks[68][0] 陳院長建仁:我九十幾歲了。
gazette.blocks[69][0] 陳委員雪生:我還看得到嗎?這太過分了吧!
gazette.blocks[70][0] 陳院長建仁:我想委員……
gazette.blocks[71][0] 陳委員雪生:你們那麼多的部會首長在這邊,蓋個馬祖機場要24年,你們聽得下去嗎?
gazette.blocks[72][0] 陳院長建仁:所以委員,剛才我們龔主委才說希望交通部再檢討一下工期建設的時間,是不是能跟廠商一起考慮怎樣縮短,這是有必要的。
gazette.blocks[73][0] 龔主任委員明鑫:報告委員,第一期的部分只要機場的延長跟改善做好以後,安全就沒有問題。第二期您剛才提到新的航站部分,要配合……
gazette.blocks[74][0] 陳委員雪生:你蓋50年、100年關我什麼事啊?我已經死翹翹了。
gazette.blocks[75][0] 龔主任委員明鑫:沒有,這是第一期的部分,工期七年多蓋完以後,這個新跑道就可以開始營運,只是我們希望7年3個月可不可以再縮短。
gazette.blocks[76][0] 陳委員雪生:不是,全世界的機場有沒有蓋過二十幾年的?哪個機場是這樣蓋的?蓋二十幾年耶!
gazette.blocks[77][0] 陳院長建仁:好,我想我們……
gazette.blocks[78][0] 陳委員雪生:北京還是杜拜嗎?還是哪裡?華盛頓嗎?有蓋二十幾年的喔?
gazette.blocks[79][0] 陳院長建仁:委員,我們請部長做簡單的回復,好不好?
gazette.blocks[80][0] 王部長國材:跟委員報告,現在這有一個環環相扣的關係,第一個,南竿機場要遷移到風山,我要炸山,然後為了這個跑道延伸350公尺,我必須填海,所以我現在的想法是炸山、填海把它做出來。剛才談到7年3個月是因為跑道的南端在填海的時候,它會有一些施工以及在某個程度要壓土的時候,可能會有2公尺高……
gazette.blocks[81][0] 陳委員雪生:部長,我不聽那麼多。
gazette.blocks[82][0] 王部長國材:我的意思是說……
gazette.blocks[83][0] 陳委員雪生:蓋機場一共要多久?你跟我講就好了啦!
gazette.blocks[84][0] 王部長國材:我跟委員報告……
gazette.blocks[85][0] 陳委員雪生:你講1234、ABCD要30年、50年,我聽不下去了啦!
gazette.blocks[86][0] 王部長國材:我跟委員報告,我覺得用地取得還有設計的階段,如果縣政府跟我們民航局來溝通,我想可以把4年6個月縮短。工期的部分,我們也想辦法來縮短,因為剛才看到在北竿的飛機事實上不多,所以它施工的空隙應該會比較多,這部分我已經跟民航局討論過。也就是說,第一個是11年9個月怎麼縮短,我們現在已經有討論一些了,第二個因為新航廈……
gazette.blocks[87][0] 陳委員雪生:還有細設、還要細設嘛!
gazette.blocks[88][0] 王部長國材:對,就是用地取得跟細設的時間跟縣政府討論……
gazette.blocks[89][0] 陳院長建仁:可以縮短。
gazette.blocks[90][0] 王部長國材:如果可以縮短就縮短。
gazette.blocks[91][0] 陳委員雪生:院長,你告訴我什麼時候能夠核定?
gazette.blocks[92][0] 陳院長建仁:核定的話,就是他們……
gazette.blocks[93][0] 陳委員雪生:10月6日講的話……
gazette.blocks[94][0] 陳院長建仁:剛才講2月底送過來,我們3月初就來核定。
gazette.blocks[95][0] 龔主任委員明鑫:我們希望交通部民航局跟縣政府這邊談好,2月底回復給我們以後,我們就會回復行政院。
gazette.blocks[96][0] 陳委員雪生:院長,可以嗎?
gazette.blocks[97][0] 陳院長建仁:對,我們3月份會來核定,但問題就是說……
gazette.blocks[98][0] 陳委員雪生:這有錄音的,你要注意喔!
gazette.blocks[99][0] 陳院長建仁:是,剛才就講過,因為他們還在等民航局把相關的時程再做一個檢討,我們的目的都是一樣,就是希望可以把這個期程縮短。
gazette.blocks[100][0] 陳委員雪生:回去討論,蓋6年不得了了嘛!
gazette.blocks[101][0] 陳院長建仁:我也覺得太久了。
gazette.blocks[102][0] 陳委員雪生:蓋二十幾年啊!
gazette.blocks[103][0] 陳院長建仁:不過這個工程我們也要瞭解確實有它的困難度,所以我們儘可能由專家審查,看看這樣的工期縮短……
gazette.blocks[104][0] 陳委員雪生:填海才20米啊!
gazette.blocks[105][0] 陳院長建仁:對,填海。
gazette.blocks[106][0] 陳委員雪生:20米的水深,填海出去350公尺,需要蓋二十幾年?
gazette.blocks[107][0] 王部長國材:我跟委員報告,的確民航局在估這個時間,第一個在離島,一般的營造廠商不願意過去,它一定要談到這個問題……
gazette.blocks[108][0] 陳委員雪生:部長,我到交通委會還會問你這個問題。
gazette.blocks[109][0] 王部長國材:對,所以我想說我們來檢討……
gazette.blocks[110][0] 陳委員雪生:今天先不要浪費這個時間,好不好?
gazette.blocks[111][0] 王部長國材:對、對、對。
gazette.blocks[112][0] 陳委員雪生:院長,你答復我,兩個禮拜之內核定?
gazette.blocks[113][0] 陳院長建仁:3月份,對。
gazette.blocks[114][0] 陳委員雪生:3月份?3月1號到3月30號有30天耶。
gazette.blocks[115][0] 陳院長建仁:我們收到民航局……
gazette.blocks[116][0] 陳委員雪生:你10月6號就跟我講核定了。
gazette.blocks[117][0] 陳院長建仁:對,就是國發會把這個資料送到行政院來,我們會儘快核定。
gazette.blocks[118][0] 陳委員雪生:這種事情已經辦7、8年了,8、9年了啦!
gazette.blocks[119][0] 陳院長建仁:會,我們會儘快。
gazette.blocks[120][0] 陳委員雪生:你要慢慢拖,不是儘快……
gazette.blocks[121][0] 陳院長建仁:不會、不會,我……
gazette.blocks[122][0] 陳委員雪生:兩個禮拜,好不好?
gazette.blocks[123][0] 陳院長建仁:我們儘快努力。
gazette.blocks[124][0] 陳委員雪生:可以完成嘛!龔主委,你那邊的手續都已經差不多了嘛?
gazette.blocks[125][0] 龔主任委員明鑫:是。
gazette.blocks[126][0] 陳委員雪生:去報行政院秘書長,秘書長送上去給院長看一下就差不多了。
gazette.blocks[127][0] 龔主任委員明鑫:是。
gazette.blocks[128][0] 陳委員雪生:需要那麼久嗎?
gazette.blocks[129][0] 陳院長建仁:對,我們就等待相關的意見,我們會來催促,好不好?
gazette.blocks[130][0] 陳委員雪生:好,這個機場沒問題了。第二個,我請教一下南北竿大橋,從106年一直扯到現在,106年都多少年了?這個案子綜合規劃已經完成了,跟機場一樣,一直在那邊拖,你們國發會的講法是什麼呢?說看南竿機場運量怎麼樣,龔主委,我告訴你,南竿機場是個非常危險的機場,它的進場那個側風的地方已經改善到極致了,不安全的機場你不用關閉嗎?不安全的機場你讓它繼續飛嗎?要等到出事了,縣長下臺、院長下臺,是不是這樣?向國人道歉,要搞到這樣的地步嗎?我不希望有這樣的事情發生。所以你要做南竿機場的話,這個大橋一定要做嘛!你大橋不做,北竿機場你現在做十幾年,我們那邊老百姓快炸鍋了「蓋個機場要十幾年,我不蓋了,我寧可去掉飛機也沒關係啊!我要忍受十幾年,我生意都不要做了嗎?」不是陣痛期,這是長痛的,要十幾年,你北竿機場在做,北竿機場老百姓要到南竿坐飛機,那北竿機場做完以後呢?南竿機場又要到北竿去坐飛機,那南竿機場怎麼辦?又來了,問題又來了,所以這個橋的問題一定要解決嘛!沒關係,你機場核定以後,我希望橋的問題,我們來討論,我們來討論橋的事情,橋一定要做,橋一定要做,我想你行政部門不做,我們立法院來推,我會逼著你們做,你橋一定要做,所以橋的細設也很簡單,誰說要做什麼600億?龔主委,誰講的600億?
gazette.blocks[131][0] 龔主任委員明鑫:報告委員,現在因為上一次院長指示說,尋找第三方比較客觀的來重新評估,包括技術上,還有經費上,那我們現在也已經招標了,就是英國的一個工程顧問公司,全世界排名大概第11名。
gazette.blocks[132][0] 陳委員雪生:這個話是你們國發會傳出來要600億。
gazette.blocks[133][0] 龔主任委員明鑫:不是,所以就是說要從第三方……
gazette.blocks[134][0] 陳委員雪生:蔡總統也是誤聽你們的600億,世曦講288億啊!
gazette.blocks[135][0] 龔主任委員明鑫:不是、不是我傳的……
gazette.blocks[136][0] 陳委員雪生:世曦,人家是世曦,世曦比你專業吧?
gazette.blocks[137][0] 龔主任委員明鑫:所以……因為它深到60公尺,那個是我們沒有做過的,所以這個還要第三方技術上的評估,所以我們已經有這樣的評估了。
gazette.blocks[138][0] 陳委員雪生:照你這樣講,世曦這個單位就不要了嘛!要這個單位幹什麼?
gazette.blocks[139][0] 龔主任委員明鑫:對,所以第三方嘛!
gazette.blocks[140][0] 陳委員雪生:還有技術性,世曦也說可行啊!它說可行啊!沒有說不可行啊!是你們在那邊講不可行,我很奇怪勒!你們找世曦開了會了嗎?也沒有啊!這個事情我們到交通委員會再討論啦!
gazette.blocks[141][0] 龔主任委員明鑫:是。
gazette.blocks[142][0] 陳委員雪生:還有高雄航線,高雄航線我在選舉期間,連江縣民進黨黨部主委一直講說,高雄航線他去連署,連署7,000個人,你連署8萬人也沒用啊!航空公司飛不飛很重要啊!立榮航空不飛,國華、華信、華航你叫它飛嘛!部長,你能不能找民航局?我上次已經講過了,民航局召集嘛!用包機的方式、用其他的方式去處理嘛!你可以處理嗎?
gazette.blocks[143][0] 王部長國材:跟委員報告,現在就是用這個方向,就是說馬祖高雄的航線在94年斷掉,當時就是運量不足。
gazette.blocks[144][0] 陳委員雪生:運量怎麼不足呢?我負責嘛!
gazette.blocks[145][0] 王部長國材:當時啦!當時的……
gazette.blocks[146][0] 陳委員雪生:當時,那現在可以了啊!
gazette.blocks[147][0] 王部長國材:然後現在民航局事實上除了立榮以外,也找了像華信,都討論過了。
gazette.blocks[148][0] 陳委員雪生:我們除了老百姓、除了觀光客,阿兵哥的占比在南部是50%,還不止。
gazette.blocks[149][0] 王部長國材:對。
gazette.blocks[150][0] 陳委員雪生:阿兵哥也是回家的路啊!講了老半天,你們也聽不下去,我叫了老半天。
gazette.blocks[151][0] 王部長國材:我們跟航空公司做過討論,它們是完全沒有意願。
gazette.blocks[152][0] 陳委員雪生:民進黨地方黨部方向搞錯了嘛!你要找航空公司啊!
gazette.blocks[153][0] 王部長國材:現在先用包機,先用包機。
gazette.blocks[154][0] 陳委員雪生:你們能不能找一下,好不好?
gazette.blocks[155][0] 王部長國材:包機的方式我想跟連江縣政府這邊來討論一下,怎麼樣做一些獎勵的措施,這個可能比較可行,等包機有運量以後,再恢復定期航線。
gazette.blocks[156][0] 陳委員雪生:好,部長,你請回,我要問一下我們院長。
gazette.blocks[156][1] 院長對部立醫院很熟嘛!醫療系統。
gazette.blocks[157][0] 陳院長建仁:喔!醫院。
gazette.blocks[158][0] 陳委員雪生:在選舉期間,我們的連江縣黨部主委李問先生,我很謝謝他,他說問了王必勝次長同意馬祖改為部立醫院,您的看法如何?部立醫院只是換個招牌,「縣立」兩個字改為「部立」就好了嗎?不是這樣哦!人員、組織、編制、醫藥、病房,對不對?
gazette.blocks[159][0] 陳院長建仁:對。
gazette.blocks[160][0] 陳委員雪生:什麼神經外科、神經內科,這些都要準備,人員要增加耶!部長,你回答我好了。
gazette.blocks[161][0] 薛部長瑞元:有關於部立醫院,就是說……
gazette.blocks[162][0] 陳委員雪生:次長有沒有答應?
gazette.blocks[163][0] 薛部長瑞元:目前的話是沒有,因為……
gazette.blocks[164][0] 陳委員雪生:沒有,那你就騙人囉!
gazette.blocks[165][0] 薛部長瑞元:沒有,因為縣政府那邊不是很贊成,主要是地方……
gazette.blocks[166][0] 陳委員雪生:我們縣政府的兩個院長,也就是兩個縣長是院長的學生劉增應啊。
gazette.blocks[167][0] 陳院長建仁:對,增應。
gazette.blocks[168][0] 陳委員雪生:他們覺得我們地方很小,金門跟澎湖實施得不是很順暢,馬祖這個地方行之有年,非常地好,不錯啊!但李問先生跑去講說民進黨王必勝次長答應改為部立醫院,部長,有沒有這回事?
gazette.blocks[169][0] 薛部長瑞元:並沒有直接說所謂答應改為部立醫院,而是說這個部分必須還要再研議。
gazette.blocks[170][0] 陳委員雪生:他說答應了啊!
gazette.blocks[171][0] 薛部長瑞元:所以我們在1月的時候,部裡面有派人過去縣政府跟縣長談過這個事情。目前的話……
gazette.blocks[172][0] 陳委員雪生:談過?沒有談過,有談過的話縣長會跟我講,我們縣長如果有談過,一定會告訴我!
gazette.blocks[173][0] 薛部長瑞元:1月17日有去拜訪……
gazette.blocks[174][0] 陳委員雪生:是誰?王必勝次長嗎?
gazette.blocks[175][0] 薛部長瑞元:應該是我們醫福會……
gazette.blocks[176][0] 陳委員雪生:我要問的是王次長,王次長有沒有答應?
gazette.blocks[177][0] 薛部長瑞元:這沒有……
gazette.blocks[178][0] 陳委員雪生:沒關係,我會到衛環委員會去問。
gazette.blocks[179][0] 薛部長瑞元:沒有說直接答應。
gazette.blocks[180][0] 陳委員雪生:你們不回答我,我一定查個水落石出。好,請你回去。
gazette.blocks[181][0] 薛部長瑞元:好,謝謝。
gazette.blocks[182][0] 陳委員雪生:我要問我們國防部邱部長。
gazette.blocks[182][1] 院長,它的靶場設在我們的行政中心,長照已經蓋好了、醫院蓋好了、國中蓋好了、國小蓋好了,在中間打靶,槍打來打去。院長,你聽得進去嗎?這個事情我有問過邱部長,邱部長的問題在哪裡,你知道嗎?代拆代建,我說清朝的靶場,現在是民國了,現代化了,那個地用推土機推一推,弄個靶紙,就從這邊打過去,是這樣的打法,不是像現在警察在室內就可以打了,打了以後靶紙自動彈回來,看看靶心有沒有打中,部長,是不是這樣?
gazette.blocks[183][0] 邱部長國正:我跟委員報告……
gazette.blocks[184][0] 陳委員雪生:你國防部沒錢,你也講嘛!行政院主計長也在,你能不能另外撥點錢?國防部預算很緊湊我知道啊,他們裡面那個馬路,我當縣長時還是我幫他們鋪的,我鋪了很多條,國防部哪有錢鋪馬路?沒有錢鋪嘛!所以這個靶場是代遷代建,我們縣政府窮,你也知道。
gazette.blocks[184][1] 院長,一個是澎湖,一個是馬祖,金門有個酒廠在那個地方,你說靶場搬就搬,有什麼困難?它那個酒多賣兩瓶就有了,但馬祖沒有啊!只有扣我們公務人員薪水拿去做靶場啊。所以邱部長說沒辦法,後來答應我說兩年,兩年了,到現在你們沒動靜耶,我們縣政府幫你都預定好了……
gazette.blocks[185][0] 邱部長國正:報告委員,我跟您做個說明好不好?我知道委員在這幾個會期中都提到靶場的問題,事實上我們也很積極,我們也編組到三個點去看,我想縣政府也很清楚,有風山、有坂山,還有一個大沃,這幾個地方經過評估以後,我們選的這個點因為有些困難,所以我們3月5日還要再開會,我跟我們同仁交代,我們針對問題,不要讓人家覺得我們在拖,沒有在拖,一直在積極運作。但剛才委員已經點出幾個問題來,我覺得這在後面都可以談,那幾個點選擇之後,有些問題可能要麻煩縣政府先處理完,才能夠走下一步。
gazette.blocks[186][0] 陳委員雪生:都處理了,剩下你們,你們要代拆代建,就這四個字而已。
gazette.blocks[187][0] 邱部長國正:代拆代建也是問題之一,其他……
gazette.blocks[188][0] 陳委員雪生:我們都處理好了,軍方也知道在什麼地方,軍方也不敢講話,大隊怎麼敢講話,一定是國防部才講話嘛……
gazette.blocks[189][0] 邱部長國正:國防部不敢講話,因為有一些問題……
gazette.blocks[190][0] 陳委員雪生:那你們現在講代拆代建這四個字,代拆代建這個問題又困在那裡了。邱部長,我們兩個感情不錯吧!
gazette.blocks[191][0] 邱部長國正:是,感情很好。
gazette.blocks[192][0] 陳委員雪生:國防部跟縣政府感情也不錯吧!
gazette.blocks[193][0] 邱部長國正:對,也很好,軍民一家嘛。
gazette.blocks[194][0] 陳委員雪生:我也注意到了,你到馬祖去,我也沒送你什麼酒,你還送我水果,這種善意我們都感激在心嘛!是不是?
gazette.blocks[195][0] 邱部長國正:是。
gazette.blocks[196][0] 陳委員雪生:我們對部隊也是很照顧的耶!
gazette.blocks[197][0] 邱部長國正:的確,我知道,委員對於部隊真的很照顧。
gazette.blocks[198][0] 陳委員雪生:像最近我還逼人事總處說你們什麼意思啊?在那邊的阿兵哥確實很辛苦。所以拜託部長,這個事情你注意一下,不要為了這個事情影響到軍民的感情,是不是!長照在那裡、學校在那裡,你每天那個子彈在那邊砰、砰、砰、砰、砰!你說呢?
gazette.blocks[199][0] 邱部長國正:我們也講不過去,所以我有很多方法,把打靶的時間給降低了、還有整個約束也在做了……
gazette.blocks[200][0] 陳委員雪生:部長,將心比心,好不好?
gazette.blocks[201][0] 邱部長國正:是!
gazette.blocks[202][0] 陳委員雪生:還有缺肉,上次選舉期間也來了,部隊沒肉吃,沒肉吃關我縣政府什麼事啊?因為你們那個副食供應中心跟臺灣的肉商有簽約嘛,你的肉一定要跟他買嘛,我們馬祖地區的肉你不能買啊,那問題就出來啦,你們有跟那個行商─開船的公司有簽約嘛,它船正好壞掉了,所以肉也沒辦法送、船也沒辦法開,所以沒肉吃,一扯扯到縣政府,說你們那個馬祖立法委員混蛋!我們阿兵哥沒飯吃、沒肉吃!跟我們什麼關係啊?
gazette.blocks[203][0] 邱部長國正:我跟委員報告,沒有、沒有,不會這樣,那個我跟委員說明一下……
gazette.blocks[204][0] 陳委員雪生:沒有這個事啊!
gazette.blocks[205][0] 邱部長國正:我們也在強化,怎麼樣強化?一個它原本的儲存量我們把它給增加天數……
gazette.blocks[206][0] 陳委員雪生:搞得陸軍司令還要去道歉。
gazette.blocks[207][0] 邱部長國正:是,所以第二個就是我們現在那個副供站雖然沒有,但它的採購、在外離島的採購一切由部隊長自己作主就可以,我們沒有很大的限制喔,他完全可以……
gazette.blocks[208][0] 陳委員雪生:部長,現在兵力也少了嘛,你跟民間去買就好了嘛……
gazette.blocks[209][0] 邱部長國正:是,這他可以做的、可以做的。
gazette.blocks[210][0] 陳委員雪生:讓他們吃一點生鮮的活豬肉,好不好?
gazette.blocks[211][0] 邱部長國正:是。
gazette.blocks[212][0] 陳委員雪生:不要吃清朝那種冰得硬邦邦的,都冰了好幾年的肉耶!
gazette.blocks[213][0] 邱部長國正:是,我瞭解,這我們同意他在地方上來採購。
gazette.blocks[214][0] 陳委員雪生:那個魚都已經變成化石了,化石用油炸一炸、放點辣椒,這些阿兵哥也是我們的子弟嘛,好不好?
gazette.blocks[215][0] 邱部長國正:我瞭解。
gazette.blocks[216][0] 陳委員雪生:有機會我請你吃一下清朝的化石的帶魚給你吃,好不好?你吃吃看你就知道了。
gazette.blocks[217][0] 邱部長國正:我吃過,我在馬祖服務過,我知道。
gazette.blocks[218][0] 陳委員雪生:部長,你注意一下,好不好?
gazette.blocks[219][0] 邱部長國正:是。
gazette.blocks[220][0] 陳委員雪生:還有最近一件事,部長跟主計長請回,我們教育部。教育部最近發生什麼事啊?炊事工友沒有了,5個變成2個,2個變成……2個人力沒辦法炒菜啊,好了!我們馬祖四鄉五島、離島啊,小孩子沒飯吃了,沒飯吃以後,外面叫賣的什麼攤販、賣香腸、打香腸的一堆就在校門口,這下生意可好了,學生家長就反彈。不過那天在現場,部長也跟我抱歉了,部長馬上把這問題解決了,63萬……給了兩百多萬,部長,以後這個事情啊……怎麼發現的呢?又是民進黨的連江縣黨部又在罵我啦,說你這個立委怎麼搞的、怎麼搞的,縣政府跟我什麼關係啊?這是你民進黨的單位啊、你的教育部啊、你的國立高中啊!關我們什麼事啊?部長,你以後注意一下嘛,好不好?學校的事情。
gazette.blocks[221][0] 潘部長文忠:這個我要謝謝委員,因為委員在2月17號當地瞭解這個情形、信息之後……
gazette.blocks[222][0] 陳委員雪生:不用,這改善了!
gazette.blocks[223][0] 潘部長文忠:也召開很快的會議……
gazette.blocks[224][0] 陳委員雪生:還有床鋪!床鋪1.8公尺改為2公尺,好不好?你注意一下,因為時間的關係,好不好?
gazette.blocks[225][0] 潘部長文忠:這也謝謝委員……
gazette.blocks[226][0] 陳委員雪生:好,謝謝院長、謝謝部長。
gazette.blocks[227][0] 潘部長文忠:謝謝。
gazette.blocks[228][0] 陳委員雪生:你們關心一下,好不好?謝謝。
gazette.blocks[229][0] 陳院長建仁:好,謝謝。
gazette.blocks[230][0] 主席:謝謝陳委員雪生的質詢。
gazette.blocks[230][1] 接下來我們請張委員啓楷質詢。
gazette.agenda.page_end 466
gazette.agenda.meet_id 院會-11-1-2
gazette.agenda.speakers[0] 韓國瑜
gazette.agenda.speakers[1] 吳秉叡
gazette.agenda.speakers[2] 丁學忠
gazette.agenda.speakers[3] 黃珊珊
gazette.agenda.speakers[4] 林岱樺
gazette.agenda.speakers[5] 陳雪生
gazette.agenda.speakers[6] 張啓楷
gazette.agenda.speakers[7] 徐富癸
gazette.agenda.speakers[8] 謝衣鳯
gazette.agenda.speakers[9] 林國成
gazette.agenda.speakers[10] 蔡其昌
gazette.agenda.speakers[11] 萬美玲
gazette.agenda.speakers[12] 黃秀芳
gazette.agenda.speakers[13] 呂玉玲
gazette.agenda.page_start 371
gazette.agenda.meetingDate[0] 2024-02-27
gazette.agenda.gazette_id 1130401
gazette.agenda.agenda_lcidc_ids[0] 1130401_00011
gazette.agenda.agenda_lcidc_ids[1] 1130401_00012
gazette.agenda.meet_name 立法院第11屆第1會期第2次會議紀錄
gazette.agenda.content 施政質詢 對行政院院長提出施政方針及施政報告繼續質詢─繼續質詢─
gazette.agenda.agenda_id 1130401_00013
transcript.pyannote[0].speaker SPEAKER_05
transcript.pyannote[0].start 11.67471875
transcript.pyannote[0].end 18.03659375
transcript.pyannote[1].speaker SPEAKER_05
transcript.pyannote[1].start 18.18846875
transcript.pyannote[1].end 21.14159375
transcript.pyannote[2].speaker SPEAKER_08
transcript.pyannote[2].start 21.14159375
transcript.pyannote[2].end 22.57596875
transcript.pyannote[3].speaker SPEAKER_09
transcript.pyannote[3].start 27.57096875
transcript.pyannote[3].end 30.43971875
transcript.pyannote[4].speaker SPEAKER_05
transcript.pyannote[4].start 31.08096875
transcript.pyannote[4].end 32.21159375
transcript.pyannote[5].speaker SPEAKER_05
transcript.pyannote[5].start 33.40971875
transcript.pyannote[5].end 36.49784375
transcript.pyannote[6].speaker SPEAKER_05
transcript.pyannote[6].start 37.15596875
transcript.pyannote[6].end 39.02909375
transcript.pyannote[7].speaker SPEAKER_05
transcript.pyannote[7].start 39.06284375
transcript.pyannote[7].end 40.39596875
transcript.pyannote[8].speaker SPEAKER_05
transcript.pyannote[8].start 41.20596875
transcript.pyannote[8].end 44.15909375
transcript.pyannote[9].speaker SPEAKER_05
transcript.pyannote[9].start 45.01971875
transcript.pyannote[9].end 47.82096875
transcript.pyannote[10].speaker SPEAKER_05
transcript.pyannote[10].start 48.98534375
transcript.pyannote[10].end 50.03159375
transcript.pyannote[11].speaker SPEAKER_05
transcript.pyannote[11].start 50.31846875
transcript.pyannote[11].end 53.01846875
transcript.pyannote[12].speaker SPEAKER_05
transcript.pyannote[12].start 53.57534375
transcript.pyannote[12].end 55.24596875
transcript.pyannote[13].speaker SPEAKER_05
transcript.pyannote[13].start 55.76909375
transcript.pyannote[13].end 58.14846875
transcript.pyannote[14].speaker SPEAKER_09
transcript.pyannote[14].start 58.43534375
transcript.pyannote[14].end 67.34534375
transcript.pyannote[15].speaker SPEAKER_09
transcript.pyannote[15].start 67.41284375
transcript.pyannote[15].end 67.85159375
transcript.pyannote[16].speaker SPEAKER_09
transcript.pyannote[16].start 68.42534375
transcript.pyannote[16].end 76.40721875
transcript.pyannote[17].speaker SPEAKER_05
transcript.pyannote[17].start 76.94721875
transcript.pyannote[17].end 79.81596875
transcript.pyannote[18].speaker SPEAKER_05
transcript.pyannote[18].start 80.55846875
transcript.pyannote[18].end 82.61721875
transcript.pyannote[19].speaker SPEAKER_05
transcript.pyannote[19].start 83.29221875
transcript.pyannote[19].end 85.26659375
transcript.pyannote[20].speaker SPEAKER_05
transcript.pyannote[20].start 85.75596875
transcript.pyannote[20].end 88.40534375
transcript.pyannote[21].speaker SPEAKER_05
transcript.pyannote[21].start 88.54034375
transcript.pyannote[21].end 88.62471875
transcript.pyannote[22].speaker SPEAKER_09
transcript.pyannote[22].start 88.62471875
transcript.pyannote[22].end 88.96221875
transcript.pyannote[23].speaker SPEAKER_05
transcript.pyannote[23].start 88.96221875
transcript.pyannote[23].end 90.90284375
transcript.pyannote[24].speaker SPEAKER_05
transcript.pyannote[24].start 91.74659375
transcript.pyannote[24].end 94.12596875
transcript.pyannote[25].speaker SPEAKER_05
transcript.pyannote[25].start 94.56471875
transcript.pyannote[25].end 96.70784375
transcript.pyannote[26].speaker SPEAKER_05
transcript.pyannote[26].start 97.41659375
transcript.pyannote[26].end 100.52159375
transcript.pyannote[27].speaker SPEAKER_05
transcript.pyannote[27].start 101.02784375
transcript.pyannote[27].end 102.76596875
transcript.pyannote[28].speaker SPEAKER_05
transcript.pyannote[28].start 103.42409375
transcript.pyannote[28].end 107.17034375
transcript.pyannote[29].speaker SPEAKER_05
transcript.pyannote[29].start 107.71034375
transcript.pyannote[29].end 109.51596875
transcript.pyannote[30].speaker SPEAKER_05
transcript.pyannote[30].start 109.97159375
transcript.pyannote[30].end 111.70971875
transcript.pyannote[31].speaker SPEAKER_05
transcript.pyannote[31].start 111.92909375
transcript.pyannote[31].end 114.56159375
transcript.pyannote[32].speaker SPEAKER_05
transcript.pyannote[32].start 115.00034375
transcript.pyannote[32].end 117.21096875
transcript.pyannote[33].speaker SPEAKER_05
transcript.pyannote[33].start 117.73409375
transcript.pyannote[33].end 119.10096875
transcript.pyannote[34].speaker SPEAKER_05
transcript.pyannote[34].start 119.45534375
transcript.pyannote[34].end 121.27784375
transcript.pyannote[35].speaker SPEAKER_05
transcript.pyannote[35].start 121.88534375
transcript.pyannote[35].end 122.91471875
transcript.pyannote[36].speaker SPEAKER_05
transcript.pyannote[36].start 123.53909375
transcript.pyannote[36].end 126.08721875
transcript.pyannote[37].speaker SPEAKER_05
transcript.pyannote[37].start 126.45846875
transcript.pyannote[37].end 129.32721875
transcript.pyannote[38].speaker SPEAKER_05
transcript.pyannote[38].start 129.78284375
transcript.pyannote[38].end 131.14971875
transcript.pyannote[39].speaker SPEAKER_05
transcript.pyannote[39].start 131.53784375
transcript.pyannote[39].end 134.99721875
transcript.pyannote[40].speaker SPEAKER_05
transcript.pyannote[40].start 135.50346875
transcript.pyannote[40].end 136.97159375
transcript.pyannote[41].speaker SPEAKER_05
transcript.pyannote[41].start 137.47784375
transcript.pyannote[41].end 140.81909375
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 140.49846875
transcript.pyannote[42].end 141.15659375
transcript.pyannote[43].speaker SPEAKER_05
transcript.pyannote[43].start 141.42659375
transcript.pyannote[43].end 143.11409375
transcript.pyannote[44].speaker SPEAKER_05
transcript.pyannote[44].start 143.46846875
transcript.pyannote[44].end 145.69596875
transcript.pyannote[45].speaker SPEAKER_05
transcript.pyannote[45].start 146.10096875
transcript.pyannote[45].end 148.93596875
transcript.pyannote[46].speaker SPEAKER_05
transcript.pyannote[46].start 149.35784375
transcript.pyannote[46].end 150.57284375
transcript.pyannote[47].speaker SPEAKER_05
transcript.pyannote[47].start 150.82596875
transcript.pyannote[47].end 151.72034375
transcript.pyannote[48].speaker SPEAKER_05
transcript.pyannote[48].start 152.31096875
transcript.pyannote[48].end 155.43284375
transcript.pyannote[49].speaker SPEAKER_05
transcript.pyannote[49].start 155.73659375
transcript.pyannote[49].end 156.04034375
transcript.pyannote[50].speaker SPEAKER_05
transcript.pyannote[50].start 156.52971875
transcript.pyannote[50].end 159.29721875
transcript.pyannote[51].speaker SPEAKER_05
transcript.pyannote[51].start 159.68534375
transcript.pyannote[51].end 161.25471875
transcript.pyannote[52].speaker SPEAKER_05
transcript.pyannote[52].start 161.52471875
transcript.pyannote[52].end 163.16159375
transcript.pyannote[53].speaker SPEAKER_05
transcript.pyannote[53].start 163.49909375
transcript.pyannote[53].end 164.41034375
transcript.pyannote[54].speaker SPEAKER_05
transcript.pyannote[54].start 164.54534375
transcript.pyannote[54].end 167.31284375
transcript.pyannote[55].speaker SPEAKER_05
transcript.pyannote[55].start 167.78534375
transcript.pyannote[55].end 168.32534375
transcript.pyannote[56].speaker SPEAKER_05
transcript.pyannote[56].start 168.79784375
transcript.pyannote[56].end 170.43471875
transcript.pyannote[57].speaker SPEAKER_05
transcript.pyannote[57].start 171.16034375
transcript.pyannote[57].end 174.94034375
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 175.00784375
transcript.pyannote[58].end 175.39596875
transcript.pyannote[59].speaker SPEAKER_05
transcript.pyannote[59].start 175.53096875
transcript.pyannote[59].end 178.29846875
transcript.pyannote[60].speaker SPEAKER_05
transcript.pyannote[60].start 178.70346875
transcript.pyannote[60].end 182.71971875
transcript.pyannote[61].speaker SPEAKER_05
transcript.pyannote[61].start 182.87159375
transcript.pyannote[61].end 185.40284375
transcript.pyannote[62].speaker SPEAKER_05
transcript.pyannote[62].start 185.68971875
transcript.pyannote[62].end 187.00596875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 185.85846875
transcript.pyannote[63].end 217.88721875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 212.67284375
transcript.pyannote[64].end 212.68971875
transcript.pyannote[65].speaker SPEAKER_05
transcript.pyannote[65].start 212.68971875
transcript.pyannote[65].end 219.20346875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 219.11909375
transcript.pyannote[66].end 222.83159375
transcript.pyannote[67].speaker SPEAKER_05
transcript.pyannote[67].start 220.21596875
transcript.pyannote[67].end 223.45596875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 223.45596875
transcript.pyannote[68].end 224.09721875
transcript.pyannote[69].speaker SPEAKER_05
transcript.pyannote[69].start 223.87784375
transcript.pyannote[69].end 225.63284375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 224.55284375
transcript.pyannote[70].end 224.97471875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 225.00846875
transcript.pyannote[71].end 225.26159375
transcript.pyannote[72].speaker SPEAKER_05
transcript.pyannote[72].start 225.83534375
transcript.pyannote[72].end 231.75846875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 225.97034375
transcript.pyannote[73].end 226.99971875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 231.80909375
transcript.pyannote[74].end 244.87034375
transcript.pyannote[75].speaker SPEAKER_05
transcript.pyannote[75].start 238.47471875
transcript.pyannote[75].end 239.74034375
transcript.pyannote[76].speaker SPEAKER_05
transcript.pyannote[76].start 241.59659375
transcript.pyannote[76].end 243.33471875
transcript.pyannote[77].speaker SPEAKER_05
transcript.pyannote[77].start 244.87034375
transcript.pyannote[77].end 246.28784375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 245.22471875
transcript.pyannote[78].end 245.84909375
transcript.pyannote[79].speaker SPEAKER_05
transcript.pyannote[79].start 246.77721875
transcript.pyannote[79].end 248.04284375
transcript.pyannote[80].speaker SPEAKER_05
transcript.pyannote[80].start 248.95409375
transcript.pyannote[80].end 252.80159375
transcript.pyannote[81].speaker SPEAKER_05
transcript.pyannote[81].start 253.15596875
transcript.pyannote[81].end 253.81409375
transcript.pyannote[82].speaker SPEAKER_05
transcript.pyannote[82].start 254.30346875
transcript.pyannote[82].end 255.72096875
transcript.pyannote[83].speaker SPEAKER_05
transcript.pyannote[83].start 256.09221875
transcript.pyannote[83].end 258.21846875
transcript.pyannote[84].speaker SPEAKER_05
transcript.pyannote[84].start 258.74159375
transcript.pyannote[84].end 261.37409375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 261.40784375
transcript.pyannote[85].end 270.90846875
transcript.pyannote[86].speaker SPEAKER_05
transcript.pyannote[86].start 270.08159375
transcript.pyannote[86].end 270.99284375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 271.11096875
transcript.pyannote[87].end 273.43971875
transcript.pyannote[88].speaker SPEAKER_05
transcript.pyannote[88].start 272.74784375
transcript.pyannote[88].end 274.51971875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 274.67159375
transcript.pyannote[89].end 277.64159375
transcript.pyannote[90].speaker SPEAKER_05
transcript.pyannote[90].start 274.94159375
transcript.pyannote[90].end 276.56159375
transcript.pyannote[91].speaker SPEAKER_05
transcript.pyannote[91].start 276.79784375
transcript.pyannote[91].end 279.83534375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 279.05909375
transcript.pyannote[92].end 289.62284375
transcript.pyannote[93].speaker SPEAKER_05
transcript.pyannote[93].start 280.34159375
transcript.pyannote[93].end 283.69971875
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 286.77096875
transcript.pyannote[94].end 286.78784375
transcript.pyannote[95].speaker SPEAKER_04
transcript.pyannote[95].start 286.78784375
transcript.pyannote[95].end 287.81721875
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 287.81721875
transcript.pyannote[96].end 287.83409375
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 288.45846875
transcript.pyannote[97].end 288.47534375
transcript.pyannote[98].speaker SPEAKER_04
transcript.pyannote[98].start 288.47534375
transcript.pyannote[98].end 290.77034375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 289.89284375
transcript.pyannote[99].end 298.93784375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 298.98846875
transcript.pyannote[100].end 305.04659375
transcript.pyannote[101].speaker SPEAKER_05
transcript.pyannote[101].start 302.11034375
transcript.pyannote[101].end 303.19034375
transcript.pyannote[102].speaker SPEAKER_05
transcript.pyannote[102].start 303.62909375
transcript.pyannote[102].end 314.98596875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 305.55284375
transcript.pyannote[103].end 306.31221875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 308.74221875
transcript.pyannote[104].end 312.96096875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 313.85534375
transcript.pyannote[105].end 324.52034375
transcript.pyannote[106].speaker SPEAKER_05
transcript.pyannote[106].start 316.63971875
transcript.pyannote[106].end 319.08659375
transcript.pyannote[107].speaker SPEAKER_05
transcript.pyannote[107].start 320.75721875
transcript.pyannote[107].end 321.09471875
transcript.pyannote[108].speaker SPEAKER_05
transcript.pyannote[108].start 321.68534375
transcript.pyannote[108].end 325.90409375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 325.16159375
transcript.pyannote[109].end 336.13034375
transcript.pyannote[110].speaker SPEAKER_05
transcript.pyannote[110].start 333.21096875
transcript.pyannote[110].end 334.96596875
transcript.pyannote[111].speaker SPEAKER_05
transcript.pyannote[111].start 335.74221875
transcript.pyannote[111].end 338.57721875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 337.48034375
transcript.pyannote[112].end 339.31971875
transcript.pyannote[113].speaker SPEAKER_05
transcript.pyannote[113].start 339.06659375
transcript.pyannote[113].end 342.77909375
transcript.pyannote[114].speaker SPEAKER_05
transcript.pyannote[114].start 343.35284375
transcript.pyannote[114].end 344.80409375
transcript.pyannote[115].speaker SPEAKER_09
transcript.pyannote[115].start 345.90096875
transcript.pyannote[115].end 346.32284375
transcript.pyannote[116].speaker SPEAKER_05
transcript.pyannote[116].start 346.45784375
transcript.pyannote[116].end 351.97596875
transcript.pyannote[117].speaker SPEAKER_09
transcript.pyannote[117].start 347.36909375
transcript.pyannote[117].end 347.92596875
transcript.pyannote[118].speaker SPEAKER_05
transcript.pyannote[118].start 352.73534375
transcript.pyannote[118].end 354.81096875
transcript.pyannote[119].speaker SPEAKER_05
transcript.pyannote[119].start 355.46909375
transcript.pyannote[119].end 357.46034375
transcript.pyannote[120].speaker SPEAKER_05
transcript.pyannote[120].start 357.76409375
transcript.pyannote[120].end 358.05096875
transcript.pyannote[121].speaker SPEAKER_05
transcript.pyannote[121].start 358.59096875
transcript.pyannote[121].end 360.00846875
transcript.pyannote[122].speaker SPEAKER_05
transcript.pyannote[122].start 361.05471875
transcript.pyannote[122].end 362.99534375
transcript.pyannote[123].speaker SPEAKER_05
transcript.pyannote[123].start 363.85596875
transcript.pyannote[123].end 364.83471875
transcript.pyannote[124].speaker SPEAKER_05
transcript.pyannote[124].start 364.96971875
transcript.pyannote[124].end 365.03721875
transcript.pyannote[125].speaker SPEAKER_05
transcript.pyannote[125].start 365.79659375
transcript.pyannote[125].end 372.00659375
transcript.pyannote[126].speaker SPEAKER_05
transcript.pyannote[126].start 372.29346875
transcript.pyannote[126].end 373.94721875
transcript.pyannote[127].speaker SPEAKER_05
transcript.pyannote[127].start 374.38596875
transcript.pyannote[127].end 375.51659375
transcript.pyannote[128].speaker SPEAKER_05
transcript.pyannote[128].start 376.37721875
transcript.pyannote[128].end 377.44034375
transcript.pyannote[129].speaker SPEAKER_05
transcript.pyannote[129].start 377.69346875
transcript.pyannote[129].end 378.68909375
transcript.pyannote[130].speaker SPEAKER_05
transcript.pyannote[130].start 379.46534375
transcript.pyannote[130].end 380.05596875
transcript.pyannote[131].speaker SPEAKER_05
transcript.pyannote[131].start 380.73096875
transcript.pyannote[131].end 382.04721875
transcript.pyannote[132].speaker SPEAKER_05
transcript.pyannote[132].start 383.04284375
transcript.pyannote[132].end 384.35909375
transcript.pyannote[133].speaker SPEAKER_05
transcript.pyannote[133].start 384.67971875
transcript.pyannote[133].end 385.54034375
transcript.pyannote[134].speaker SPEAKER_05
transcript.pyannote[134].start 386.26596875
transcript.pyannote[134].end 386.72159375
transcript.pyannote[135].speaker SPEAKER_05
transcript.pyannote[135].start 386.92409375
transcript.pyannote[135].end 388.13909375
transcript.pyannote[136].speaker SPEAKER_05
transcript.pyannote[136].start 388.76346875
transcript.pyannote[136].end 393.03284375
transcript.pyannote[137].speaker SPEAKER_05
transcript.pyannote[137].start 393.72471875
transcript.pyannote[137].end 396.34034375
transcript.pyannote[138].speaker SPEAKER_05
transcript.pyannote[138].start 396.86346875
transcript.pyannote[138].end 398.06159375
transcript.pyannote[139].speaker SPEAKER_05
transcript.pyannote[139].start 398.58471875
transcript.pyannote[139].end 400.96409375
transcript.pyannote[140].speaker SPEAKER_05
transcript.pyannote[140].start 401.31846875
transcript.pyannote[140].end 402.49971875
transcript.pyannote[141].speaker SPEAKER_05
transcript.pyannote[141].start 403.02284375
transcript.pyannote[141].end 404.42346875
transcript.pyannote[142].speaker SPEAKER_05
transcript.pyannote[142].start 404.96346875
transcript.pyannote[142].end 406.58346875
transcript.pyannote[143].speaker SPEAKER_05
transcript.pyannote[143].start 407.15721875
transcript.pyannote[143].end 409.48596875
transcript.pyannote[144].speaker SPEAKER_05
transcript.pyannote[144].start 409.84034375
transcript.pyannote[144].end 411.54471875
transcript.pyannote[145].speaker SPEAKER_05
transcript.pyannote[145].start 412.20284375
transcript.pyannote[145].end 413.89034375
transcript.pyannote[146].speaker SPEAKER_05
transcript.pyannote[146].start 414.12659375
transcript.pyannote[146].end 415.61159375
transcript.pyannote[147].speaker SPEAKER_05
transcript.pyannote[147].start 416.16846875
transcript.pyannote[147].end 416.55659375
transcript.pyannote[148].speaker SPEAKER_05
transcript.pyannote[148].start 416.86034375
transcript.pyannote[148].end 418.31159375
transcript.pyannote[149].speaker SPEAKER_05
transcript.pyannote[149].start 418.75034375
transcript.pyannote[149].end 419.59409375
transcript.pyannote[150].speaker SPEAKER_05
transcript.pyannote[150].start 419.96534375
transcript.pyannote[150].end 421.99034375
transcript.pyannote[151].speaker SPEAKER_05
transcript.pyannote[151].start 422.47971875
transcript.pyannote[151].end 423.23909375
transcript.pyannote[152].speaker SPEAKER_05
transcript.pyannote[152].start 423.84659375
transcript.pyannote[152].end 424.20096875
transcript.pyannote[153].speaker SPEAKER_05
transcript.pyannote[153].start 424.75784375
transcript.pyannote[153].end 426.71534375
transcript.pyannote[154].speaker SPEAKER_05
transcript.pyannote[154].start 427.54221875
transcript.pyannote[154].end 429.21284375
transcript.pyannote[155].speaker SPEAKER_05
transcript.pyannote[155].start 429.44909375
transcript.pyannote[155].end 430.90034375
transcript.pyannote[156].speaker SPEAKER_05
transcript.pyannote[156].start 432.18284375
transcript.pyannote[156].end 433.16159375
transcript.pyannote[157].speaker SPEAKER_05
transcript.pyannote[157].start 433.49909375
transcript.pyannote[157].end 434.74784375
transcript.pyannote[158].speaker SPEAKER_05
transcript.pyannote[158].start 435.23721875
transcript.pyannote[158].end 436.97534375
transcript.pyannote[159].speaker SPEAKER_05
transcript.pyannote[159].start 437.95409375
transcript.pyannote[159].end 438.49409375
transcript.pyannote[160].speaker SPEAKER_05
transcript.pyannote[160].start 439.03409375
transcript.pyannote[160].end 439.52346875
transcript.pyannote[161].speaker SPEAKER_05
transcript.pyannote[161].start 439.79346875
transcript.pyannote[161].end 440.62034375
transcript.pyannote[162].speaker SPEAKER_05
transcript.pyannote[162].start 441.21096875
transcript.pyannote[162].end 441.70034375
transcript.pyannote[163].speaker SPEAKER_05
transcript.pyannote[163].start 441.90284375
transcript.pyannote[163].end 442.91534375
transcript.pyannote[164].speaker SPEAKER_05
transcript.pyannote[164].start 442.93221875
transcript.pyannote[164].end 443.23596875
transcript.pyannote[165].speaker SPEAKER_05
transcript.pyannote[165].start 443.92784375
transcript.pyannote[165].end 445.17659375
transcript.pyannote[166].speaker SPEAKER_05
transcript.pyannote[166].start 445.71659375
transcript.pyannote[166].end 446.44221875
transcript.pyannote[167].speaker SPEAKER_05
transcript.pyannote[167].start 446.77971875
transcript.pyannote[167].end 448.14659375
transcript.pyannote[168].speaker SPEAKER_05
transcript.pyannote[168].start 448.73721875
transcript.pyannote[168].end 450.42471875
transcript.pyannote[169].speaker SPEAKER_05
transcript.pyannote[169].start 451.11659375
transcript.pyannote[169].end 453.52971875
transcript.pyannote[170].speaker SPEAKER_05
transcript.pyannote[170].start 454.42409375
transcript.pyannote[170].end 456.28034375
transcript.pyannote[171].speaker SPEAKER_09
transcript.pyannote[171].start 456.66846875
transcript.pyannote[171].end 460.88721875
transcript.pyannote[172].speaker SPEAKER_05
transcript.pyannote[172].start 461.39346875
transcript.pyannote[172].end 463.46909375
transcript.pyannote[173].speaker SPEAKER_05
transcript.pyannote[173].start 464.63346875
transcript.pyannote[173].end 466.48971875
transcript.pyannote[174].speaker SPEAKER_09
transcript.pyannote[174].start 466.27034375
transcript.pyannote[174].end 466.33784375
transcript.pyannote[175].speaker SPEAKER_05
transcript.pyannote[175].start 466.94534375
transcript.pyannote[175].end 467.87346875
transcript.pyannote[176].speaker SPEAKER_05
transcript.pyannote[176].start 468.58221875
transcript.pyannote[176].end 470.42159375
transcript.pyannote[177].speaker SPEAKER_05
transcript.pyannote[177].start 471.16409375
transcript.pyannote[177].end 471.77159375
transcript.pyannote[178].speaker SPEAKER_05
transcript.pyannote[178].start 472.69971875
transcript.pyannote[178].end 475.24784375
transcript.pyannote[179].speaker SPEAKER_05
transcript.pyannote[179].start 475.63596875
transcript.pyannote[179].end 477.72846875
transcript.pyannote[180].speaker SPEAKER_05
transcript.pyannote[180].start 478.18409375
transcript.pyannote[180].end 481.03596875
transcript.pyannote[181].speaker SPEAKER_05
transcript.pyannote[181].start 481.96409375
transcript.pyannote[181].end 485.05221875
transcript.pyannote[182].speaker SPEAKER_05
transcript.pyannote[182].start 485.44034375
transcript.pyannote[182].end 486.70596875
transcript.pyannote[183].speaker SPEAKER_05
transcript.pyannote[183].start 487.04346875
transcript.pyannote[183].end 491.63346875
transcript.pyannote[184].speaker SPEAKER_05
transcript.pyannote[184].start 492.08909375
transcript.pyannote[184].end 495.04221875
transcript.pyannote[185].speaker SPEAKER_05
transcript.pyannote[185].start 495.85221875
transcript.pyannote[185].end 497.80971875
transcript.pyannote[186].speaker SPEAKER_05
transcript.pyannote[186].start 498.29909375
transcript.pyannote[186].end 499.80096875
transcript.pyannote[187].speaker SPEAKER_05
transcript.pyannote[187].start 500.62784375
transcript.pyannote[187].end 501.11721875
transcript.pyannote[188].speaker SPEAKER_05
transcript.pyannote[188].start 501.38721875
transcript.pyannote[188].end 502.80471875
transcript.pyannote[189].speaker SPEAKER_05
transcript.pyannote[189].start 503.32784375
transcript.pyannote[189].end 504.99846875
transcript.pyannote[190].speaker SPEAKER_05
transcript.pyannote[190].start 505.67346875
transcript.pyannote[190].end 508.84596875
transcript.pyannote[191].speaker SPEAKER_05
transcript.pyannote[191].start 509.26784375
transcript.pyannote[191].end 510.71909375
transcript.pyannote[192].speaker SPEAKER_05
transcript.pyannote[192].start 511.12409375
transcript.pyannote[192].end 511.51221875
transcript.pyannote[193].speaker SPEAKER_05
transcript.pyannote[193].start 511.81596875
transcript.pyannote[193].end 515.17409375
transcript.pyannote[194].speaker SPEAKER_05
transcript.pyannote[194].start 515.83221875
transcript.pyannote[194].end 517.95846875
transcript.pyannote[195].speaker SPEAKER_05
transcript.pyannote[195].start 518.32971875
transcript.pyannote[195].end 520.30409375
transcript.pyannote[196].speaker SPEAKER_05
transcript.pyannote[196].start 520.81034375
transcript.pyannote[196].end 522.32909375
transcript.pyannote[197].speaker SPEAKER_05
transcript.pyannote[197].start 522.78471875
transcript.pyannote[197].end 523.78034375
transcript.pyannote[198].speaker SPEAKER_05
transcript.pyannote[198].start 524.40471875
transcript.pyannote[198].end 525.73784375
transcript.pyannote[199].speaker SPEAKER_05
transcript.pyannote[199].start 526.27784375
transcript.pyannote[199].end 527.23971875
transcript.pyannote[200].speaker SPEAKER_05
transcript.pyannote[200].start 527.79659375
transcript.pyannote[200].end 529.11284375
transcript.pyannote[201].speaker SPEAKER_05
transcript.pyannote[201].start 529.78784375
transcript.pyannote[201].end 531.45846875
transcript.pyannote[202].speaker SPEAKER_05
transcript.pyannote[202].start 531.66096875
transcript.pyannote[202].end 532.82534375
transcript.pyannote[203].speaker SPEAKER_05
transcript.pyannote[203].start 533.65221875
transcript.pyannote[203].end 535.50846875
transcript.pyannote[204].speaker SPEAKER_05
transcript.pyannote[204].start 535.96409375
transcript.pyannote[204].end 536.70659375
transcript.pyannote[205].speaker SPEAKER_05
transcript.pyannote[205].start 537.38159375
transcript.pyannote[205].end 540.58784375
transcript.pyannote[206].speaker SPEAKER_05
transcript.pyannote[206].start 541.41471875
transcript.pyannote[206].end 543.69284375
transcript.pyannote[207].speaker SPEAKER_05
transcript.pyannote[207].start 544.14846875
transcript.pyannote[207].end 546.07221875
transcript.pyannote[208].speaker SPEAKER_05
transcript.pyannote[208].start 546.84846875
transcript.pyannote[208].end 547.43909375
transcript.pyannote[209].speaker SPEAKER_05
transcript.pyannote[209].start 547.67534375
transcript.pyannote[209].end 549.83534375
transcript.pyannote[210].speaker SPEAKER_05
transcript.pyannote[210].start 550.20659375
transcript.pyannote[210].end 551.87721875
transcript.pyannote[211].speaker SPEAKER_05
transcript.pyannote[211].start 552.24846875
transcript.pyannote[211].end 553.86846875
transcript.pyannote[212].speaker SPEAKER_05
transcript.pyannote[212].start 554.50971875
transcript.pyannote[212].end 557.49659375
transcript.pyannote[213].speaker SPEAKER_05
transcript.pyannote[213].start 557.98596875
transcript.pyannote[213].end 558.50909375
transcript.pyannote[214].speaker SPEAKER_05
transcript.pyannote[214].start 558.84659375
transcript.pyannote[214].end 559.45409375
transcript.pyannote[215].speaker SPEAKER_05
transcript.pyannote[215].start 559.89284375
transcript.pyannote[215].end 560.68596875
transcript.pyannote[216].speaker SPEAKER_05
transcript.pyannote[216].start 561.56346875
transcript.pyannote[216].end 563.48721875
transcript.pyannote[217].speaker SPEAKER_05
transcript.pyannote[217].start 564.04409375
transcript.pyannote[217].end 564.66846875
transcript.pyannote[218].speaker SPEAKER_05
transcript.pyannote[218].start 565.14096875
transcript.pyannote[218].end 566.92971875
transcript.pyannote[219].speaker SPEAKER_05
transcript.pyannote[219].start 567.40221875
transcript.pyannote[219].end 568.41471875
transcript.pyannote[220].speaker SPEAKER_05
transcript.pyannote[220].start 568.95471875
transcript.pyannote[220].end 570.33846875
transcript.pyannote[221].speaker SPEAKER_05
transcript.pyannote[221].start 571.60409375
transcript.pyannote[221].end 574.01721875
transcript.pyannote[222].speaker SPEAKER_05
transcript.pyannote[222].start 574.25346875
transcript.pyannote[222].end 575.33346875
transcript.pyannote[223].speaker SPEAKER_05
transcript.pyannote[223].start 575.63721875
transcript.pyannote[223].end 577.51034375
transcript.pyannote[224].speaker SPEAKER_05
transcript.pyannote[224].start 577.98284375
transcript.pyannote[224].end 579.50159375
transcript.pyannote[225].speaker SPEAKER_05
transcript.pyannote[225].start 580.02471875
transcript.pyannote[225].end 582.16784375
transcript.pyannote[226].speaker SPEAKER_05
transcript.pyannote[226].start 585.05346875
transcript.pyannote[226].end 586.48784375
transcript.pyannote[227].speaker SPEAKER_04
transcript.pyannote[227].start 585.81284375
transcript.pyannote[227].end 586.80846875
transcript.pyannote[228].speaker SPEAKER_05
transcript.pyannote[228].start 586.80846875
transcript.pyannote[228].end 586.97721875
transcript.pyannote[229].speaker SPEAKER_04
transcript.pyannote[229].start 586.97721875
transcript.pyannote[229].end 588.51284375
transcript.pyannote[230].speaker SPEAKER_07
transcript.pyannote[230].start 589.20471875
transcript.pyannote[230].end 591.97221875
transcript.pyannote[231].speaker SPEAKER_04
transcript.pyannote[231].start 589.62659375
transcript.pyannote[231].end 590.87534375
transcript.pyannote[232].speaker SPEAKER_04
transcript.pyannote[232].start 591.97221875
transcript.pyannote[232].end 592.37721875
transcript.pyannote[233].speaker SPEAKER_07
transcript.pyannote[233].start 592.02284375
transcript.pyannote[233].end 592.96784375
transcript.pyannote[234].speaker SPEAKER_04
transcript.pyannote[234].start 592.57971875
transcript.pyannote[234].end 592.84971875
transcript.pyannote[235].speaker SPEAKER_04
transcript.pyannote[235].start 592.96784375
transcript.pyannote[235].end 593.59221875
transcript.pyannote[236].speaker SPEAKER_07
transcript.pyannote[236].start 593.03534375
transcript.pyannote[236].end 593.55846875
transcript.pyannote[237].speaker SPEAKER_07
transcript.pyannote[237].start 593.59221875
transcript.pyannote[237].end 593.76096875
transcript.pyannote[238].speaker SPEAKER_04
transcript.pyannote[238].start 593.76096875
transcript.pyannote[238].end 593.86221875
transcript.pyannote[239].speaker SPEAKER_07
transcript.pyannote[239].start 593.86221875
transcript.pyannote[239].end 593.96346875
transcript.pyannote[240].speaker SPEAKER_04
transcript.pyannote[240].start 593.96346875
transcript.pyannote[240].end 601.55721875
transcript.pyannote[241].speaker SPEAKER_07
transcript.pyannote[241].start 596.64659375
transcript.pyannote[241].end 598.36784375
transcript.pyannote[242].speaker SPEAKER_07
transcript.pyannote[242].start 599.05971875
transcript.pyannote[242].end 611.26034375
transcript.pyannote[243].speaker SPEAKER_09
transcript.pyannote[243].start 603.97034375
transcript.pyannote[243].end 604.00409375
transcript.pyannote[244].speaker SPEAKER_04
transcript.pyannote[244].start 604.00409375
transcript.pyannote[244].end 604.96596875
transcript.pyannote[245].speaker SPEAKER_09
transcript.pyannote[245].start 604.96596875
transcript.pyannote[245].end 606.50159375
transcript.pyannote[246].speaker SPEAKER_07
transcript.pyannote[246].start 611.42909375
transcript.pyannote[246].end 613.15034375
transcript.pyannote[247].speaker SPEAKER_09
transcript.pyannote[247].start 613.15034375
transcript.pyannote[247].end 615.56346875
transcript.pyannote[248].speaker SPEAKER_05
transcript.pyannote[248].start 617.74034375
transcript.pyannote[248].end 618.06096875
transcript.pyannote[249].speaker SPEAKER_05
transcript.pyannote[249].start 618.70221875
transcript.pyannote[249].end 625.55346875
transcript.pyannote[250].speaker SPEAKER_09
transcript.pyannote[250].start 625.89096875
transcript.pyannote[250].end 630.75096875
transcript.pyannote[251].speaker SPEAKER_05
transcript.pyannote[251].start 630.75096875
transcript.pyannote[251].end 636.99471875
transcript.pyannote[252].speaker SPEAKER_09
transcript.pyannote[252].start 631.17284375
transcript.pyannote[252].end 632.96159375
transcript.pyannote[253].speaker SPEAKER_09
transcript.pyannote[253].start 634.88534375
transcript.pyannote[253].end 634.96971875
transcript.pyannote[254].speaker SPEAKER_07
transcript.pyannote[254].start 634.96971875
transcript.pyannote[254].end 635.08784375
transcript.pyannote[255].speaker SPEAKER_09
transcript.pyannote[255].start 635.08784375
transcript.pyannote[255].end 635.86409375
transcript.pyannote[256].speaker SPEAKER_07
transcript.pyannote[256].start 635.86409375
transcript.pyannote[256].end 636.04971875
transcript.pyannote[257].speaker SPEAKER_09
transcript.pyannote[257].start 636.04971875
transcript.pyannote[257].end 636.08346875
transcript.pyannote[258].speaker SPEAKER_07
transcript.pyannote[258].start 636.08346875
transcript.pyannote[258].end 642.22596875
transcript.pyannote[259].speaker SPEAKER_07
transcript.pyannote[259].start 642.49596875
transcript.pyannote[259].end 643.76159375
transcript.pyannote[260].speaker SPEAKER_07
transcript.pyannote[260].start 643.94721875
transcript.pyannote[260].end 648.63846875
transcript.pyannote[261].speaker SPEAKER_07
transcript.pyannote[261].start 649.06034375
transcript.pyannote[261].end 651.84471875
transcript.pyannote[262].speaker SPEAKER_07
transcript.pyannote[262].start 652.03034375
transcript.pyannote[262].end 669.20909375
transcript.pyannote[263].speaker SPEAKER_00
transcript.pyannote[263].start 657.24471875
transcript.pyannote[263].end 657.32909375
transcript.pyannote[264].speaker SPEAKER_07
transcript.pyannote[264].start 669.31034375
transcript.pyannote[264].end 674.62596875
transcript.pyannote[265].speaker SPEAKER_07
transcript.pyannote[265].start 675.04784375
transcript.pyannote[265].end 677.56221875
transcript.pyannote[266].speaker SPEAKER_05
transcript.pyannote[266].start 677.56221875
transcript.pyannote[266].end 678.69284375
transcript.pyannote[267].speaker SPEAKER_07
transcript.pyannote[267].start 678.00096875
transcript.pyannote[267].end 678.23721875
transcript.pyannote[268].speaker SPEAKER_05
transcript.pyannote[268].start 678.91221875
transcript.pyannote[268].end 679.89096875
transcript.pyannote[269].speaker SPEAKER_05
transcript.pyannote[269].start 679.95846875
transcript.pyannote[269].end 679.99221875
transcript.pyannote[270].speaker SPEAKER_05
transcript.pyannote[270].start 680.43096875
transcript.pyannote[270].end 681.42659375
transcript.pyannote[271].speaker SPEAKER_05
transcript.pyannote[271].start 682.59096875
transcript.pyannote[271].end 683.62034375
transcript.pyannote[272].speaker SPEAKER_05
transcript.pyannote[272].start 684.27846875
transcript.pyannote[272].end 685.42596875
transcript.pyannote[273].speaker SPEAKER_05
transcript.pyannote[273].start 686.45534375
transcript.pyannote[273].end 688.31159375
transcript.pyannote[274].speaker SPEAKER_05
transcript.pyannote[274].start 688.96971875
transcript.pyannote[274].end 689.81346875
transcript.pyannote[275].speaker SPEAKER_05
transcript.pyannote[275].start 690.11721875
transcript.pyannote[275].end 693.30659375
transcript.pyannote[276].speaker SPEAKER_05
transcript.pyannote[276].start 693.96471875
transcript.pyannote[276].end 694.45409375
transcript.pyannote[277].speaker SPEAKER_05
transcript.pyannote[277].start 694.67346875
transcript.pyannote[277].end 695.75346875
transcript.pyannote[278].speaker SPEAKER_05
transcript.pyannote[278].start 696.24284375
transcript.pyannote[278].end 697.32284375
transcript.pyannote[279].speaker SPEAKER_05
transcript.pyannote[279].start 698.33534375
transcript.pyannote[279].end 700.91721875
transcript.pyannote[280].speaker SPEAKER_05
transcript.pyannote[280].start 701.30534375
transcript.pyannote[280].end 702.53721875
transcript.pyannote[281].speaker SPEAKER_05
transcript.pyannote[281].start 703.14471875
transcript.pyannote[281].end 706.18221875
transcript.pyannote[282].speaker SPEAKER_05
transcript.pyannote[282].start 707.65034375
transcript.pyannote[282].end 723.31034375
transcript.pyannote[283].speaker SPEAKER_03
transcript.pyannote[283].start 710.26596875
transcript.pyannote[283].end 710.90721875
transcript.pyannote[284].speaker SPEAKER_00
transcript.pyannote[284].start 715.78409375
transcript.pyannote[284].end 718.09596875
transcript.pyannote[285].speaker SPEAKER_00
transcript.pyannote[285].start 719.63159375
transcript.pyannote[285].end 720.77909375
transcript.pyannote[286].speaker SPEAKER_05
transcript.pyannote[286].start 723.95159375
transcript.pyannote[286].end 725.53784375
transcript.pyannote[287].speaker SPEAKER_05
transcript.pyannote[287].start 726.46596875
transcript.pyannote[287].end 727.66409375
transcript.pyannote[288].speaker SPEAKER_05
transcript.pyannote[288].start 728.64284375
transcript.pyannote[288].end 730.61721875
transcript.pyannote[289].speaker SPEAKER_05
transcript.pyannote[289].start 730.93784375
transcript.pyannote[289].end 734.44784375
transcript.pyannote[290].speaker SPEAKER_09
transcript.pyannote[290].start 733.77284375
transcript.pyannote[290].end 734.02596875
transcript.pyannote[291].speaker SPEAKER_00
transcript.pyannote[291].start 734.02596875
transcript.pyannote[291].end 734.26221875
transcript.pyannote[292].speaker SPEAKER_05
transcript.pyannote[292].start 735.12284375
transcript.pyannote[292].end 738.46409375
transcript.pyannote[293].speaker SPEAKER_00
transcript.pyannote[293].start 735.37596875
transcript.pyannote[293].end 736.10159375
transcript.pyannote[294].speaker SPEAKER_09
transcript.pyannote[294].start 737.55284375
transcript.pyannote[294].end 737.83971875
transcript.pyannote[295].speaker SPEAKER_00
transcript.pyannote[295].start 737.83971875
transcript.pyannote[295].end 737.89034375
transcript.pyannote[296].speaker SPEAKER_05
transcript.pyannote[296].start 740.20221875
transcript.pyannote[296].end 741.02909375
transcript.pyannote[297].speaker SPEAKER_09
transcript.pyannote[297].start 741.02909375
transcript.pyannote[297].end 741.04596875
transcript.pyannote[298].speaker SPEAKER_05
transcript.pyannote[298].start 741.04596875
transcript.pyannote[298].end 741.07971875
transcript.pyannote[299].speaker SPEAKER_09
transcript.pyannote[299].start 742.31159375
transcript.pyannote[299].end 743.52659375
transcript.pyannote[300].speaker SPEAKER_09
transcript.pyannote[300].start 743.54346875
transcript.pyannote[300].end 743.57721875
transcript.pyannote[301].speaker SPEAKER_09
transcript.pyannote[301].start 744.03284375
transcript.pyannote[301].end 744.08346875
transcript.pyannote[302].speaker SPEAKER_05
transcript.pyannote[302].start 744.08346875
transcript.pyannote[302].end 745.18034375
transcript.pyannote[303].speaker SPEAKER_09
transcript.pyannote[303].start 745.50096875
transcript.pyannote[303].end 748.03221875
transcript.pyannote[304].speaker SPEAKER_05
transcript.pyannote[304].start 746.74971875
transcript.pyannote[304].end 748.67346875
transcript.pyannote[305].speaker SPEAKER_05
transcript.pyannote[305].start 748.89284375
transcript.pyannote[305].end 751.05284375
transcript.pyannote[306].speaker SPEAKER_05
transcript.pyannote[306].start 751.28909375
transcript.pyannote[306].end 754.24221875
transcript.pyannote[307].speaker SPEAKER_05
transcript.pyannote[307].start 754.30971875
transcript.pyannote[307].end 755.86221875
transcript.pyannote[308].speaker SPEAKER_09
transcript.pyannote[308].start 756.70596875
transcript.pyannote[308].end 757.06034375
transcript.pyannote[309].speaker SPEAKER_09
transcript.pyannote[309].start 757.11096875
transcript.pyannote[309].end 773.98596875
transcript.pyannote[310].speaker SPEAKER_05
transcript.pyannote[310].start 757.73534375
transcript.pyannote[310].end 757.97159375
transcript.pyannote[311].speaker SPEAKER_07
transcript.pyannote[311].start 772.45034375
transcript.pyannote[311].end 773.12534375
transcript.pyannote[312].speaker SPEAKER_07
transcript.pyannote[312].start 773.98596875
transcript.pyannote[312].end 774.00284375
transcript.pyannote[313].speaker SPEAKER_07
transcript.pyannote[313].start 774.05346875
transcript.pyannote[313].end 781.71471875
transcript.pyannote[314].speaker SPEAKER_07
transcript.pyannote[314].start 781.98471875
transcript.pyannote[314].end 785.84909375
transcript.pyannote[315].speaker SPEAKER_05
transcript.pyannote[315].start 785.47784375
transcript.pyannote[315].end 789.00471875
transcript.pyannote[316].speaker SPEAKER_07
transcript.pyannote[316].start 787.85721875
transcript.pyannote[316].end 797.84721875
transcript.pyannote[317].speaker SPEAKER_05
transcript.pyannote[317].start 797.84721875
transcript.pyannote[317].end 801.76221875
transcript.pyannote[318].speaker SPEAKER_07
transcript.pyannote[318].start 797.94846875
transcript.pyannote[318].end 798.10034375
transcript.pyannote[319].speaker SPEAKER_05
transcript.pyannote[319].start 802.08284375
transcript.pyannote[319].end 806.97659375
transcript.pyannote[320].speaker SPEAKER_09
transcript.pyannote[320].start 806.97659375
transcript.pyannote[320].end 809.99721875
transcript.pyannote[321].speaker SPEAKER_05
transcript.pyannote[321].start 807.16221875
transcript.pyannote[321].end 807.19596875
transcript.pyannote[322].speaker SPEAKER_00
transcript.pyannote[322].start 807.19596875
transcript.pyannote[322].end 808.24221875
transcript.pyannote[323].speaker SPEAKER_05
transcript.pyannote[323].start 808.24221875
transcript.pyannote[323].end 808.25909375
transcript.pyannote[324].speaker SPEAKER_00
transcript.pyannote[324].start 809.99721875
transcript.pyannote[324].end 817.50659375
transcript.pyannote[325].speaker SPEAKER_09
transcript.pyannote[325].start 810.09846875
transcript.pyannote[325].end 810.33471875
transcript.pyannote[326].speaker SPEAKER_00
transcript.pyannote[326].start 817.77659375
transcript.pyannote[326].end 825.87659375
transcript.pyannote[327].speaker SPEAKER_00
transcript.pyannote[327].start 826.01159375
transcript.pyannote[327].end 834.14534375
transcript.pyannote[328].speaker SPEAKER_00
transcript.pyannote[328].start 835.02284375
transcript.pyannote[328].end 839.79846875
transcript.pyannote[329].speaker SPEAKER_00
transcript.pyannote[329].start 840.35534375
transcript.pyannote[329].end 844.03409375
transcript.pyannote[330].speaker SPEAKER_00
transcript.pyannote[330].start 844.33784375
transcript.pyannote[330].end 845.90721875
transcript.pyannote[331].speaker SPEAKER_05
transcript.pyannote[331].start 845.18159375
transcript.pyannote[331].end 846.43034375
transcript.pyannote[332].speaker SPEAKER_00
transcript.pyannote[332].start 846.02534375
transcript.pyannote[332].end 846.05909375
transcript.pyannote[333].speaker SPEAKER_00
transcript.pyannote[333].start 846.32909375
transcript.pyannote[333].end 847.47659375
transcript.pyannote[334].speaker SPEAKER_05
transcript.pyannote[334].start 847.47659375
transcript.pyannote[334].end 849.94034375
transcript.pyannote[335].speaker SPEAKER_00
transcript.pyannote[335].start 847.56096875
transcript.pyannote[335].end 847.81409375
transcript.pyannote[336].speaker SPEAKER_00
transcript.pyannote[336].start 850.02471875
transcript.pyannote[336].end 851.29034375
transcript.pyannote[337].speaker SPEAKER_05
transcript.pyannote[337].start 851.29034375
transcript.pyannote[337].end 855.39096875
transcript.pyannote[338].speaker SPEAKER_00
transcript.pyannote[338].start 855.05346875
transcript.pyannote[338].end 865.56659375
transcript.pyannote[339].speaker SPEAKER_00
transcript.pyannote[339].start 866.02221875
transcript.pyannote[339].end 868.09784375
transcript.pyannote[340].speaker SPEAKER_00
transcript.pyannote[340].start 868.45221875
transcript.pyannote[340].end 874.98284375
transcript.pyannote[341].speaker SPEAKER_00
transcript.pyannote[341].start 875.40471875
transcript.pyannote[341].end 881.64846875
transcript.pyannote[342].speaker SPEAKER_00
transcript.pyannote[342].start 881.98596875
transcript.pyannote[342].end 888.33096875
transcript.pyannote[343].speaker SPEAKER_05
transcript.pyannote[343].start 887.67284375
transcript.pyannote[343].end 889.52909375
transcript.pyannote[344].speaker SPEAKER_00
transcript.pyannote[344].start 889.19159375
transcript.pyannote[344].end 894.64221875
transcript.pyannote[345].speaker SPEAKER_05
transcript.pyannote[345].start 892.83659375
transcript.pyannote[345].end 893.34284375
transcript.pyannote[346].speaker SPEAKER_05
transcript.pyannote[346].start 894.25409375
transcript.pyannote[346].end 894.28784375
transcript.pyannote[347].speaker SPEAKER_09
transcript.pyannote[347].start 894.28784375
transcript.pyannote[347].end 894.77721875
transcript.pyannote[348].speaker SPEAKER_05
transcript.pyannote[348].start 894.77721875
transcript.pyannote[348].end 894.96284375
transcript.pyannote[349].speaker SPEAKER_09
transcript.pyannote[349].start 894.96284375
transcript.pyannote[349].end 896.05971875
transcript.pyannote[350].speaker SPEAKER_09
transcript.pyannote[350].start 897.03846875
transcript.pyannote[350].end 904.88534375
transcript.pyannote[351].speaker SPEAKER_00
transcript.pyannote[351].start 898.45596875
transcript.pyannote[351].end 898.74284375
transcript.pyannote[352].speaker SPEAKER_07
transcript.pyannote[352].start 898.74284375
transcript.pyannote[352].end 898.77659375
transcript.pyannote[353].speaker SPEAKER_03
transcript.pyannote[353].start 898.77659375
transcript.pyannote[353].end 898.89471875
transcript.pyannote[354].speaker SPEAKER_00
transcript.pyannote[354].start 898.89471875
transcript.pyannote[354].end 898.96221875
transcript.pyannote[355].speaker SPEAKER_03
transcript.pyannote[355].start 898.96221875
transcript.pyannote[355].end 899.01284375
transcript.pyannote[356].speaker SPEAKER_05
transcript.pyannote[356].start 899.19846875
transcript.pyannote[356].end 899.28284375
transcript.pyannote[357].speaker SPEAKER_00
transcript.pyannote[357].start 899.28284375
transcript.pyannote[357].end 899.87346875
transcript.pyannote[358].speaker SPEAKER_07
transcript.pyannote[358].start 901.30784375
transcript.pyannote[358].end 907.31534375
transcript.pyannote[359].speaker SPEAKER_07
transcript.pyannote[359].start 907.97346875
transcript.pyannote[359].end 911.01096875
transcript.pyannote[360].speaker SPEAKER_09
transcript.pyannote[360].start 908.49659375
transcript.pyannote[360].end 909.25596875
transcript.pyannote[361].speaker SPEAKER_09
transcript.pyannote[361].start 910.30221875
transcript.pyannote[361].end 910.38659375
transcript.pyannote[362].speaker SPEAKER_09
transcript.pyannote[362].start 911.01096875
transcript.pyannote[362].end 915.48284375
transcript.pyannote[363].speaker SPEAKER_09
transcript.pyannote[363].start 915.65159375
transcript.pyannote[363].end 915.66846875
transcript.pyannote[364].speaker SPEAKER_07
transcript.pyannote[364].start 915.66846875
transcript.pyannote[364].end 915.68534375
transcript.pyannote[365].speaker SPEAKER_09
transcript.pyannote[365].start 915.68534375
transcript.pyannote[365].end 916.79909375
transcript.pyannote[366].speaker SPEAKER_05
transcript.pyannote[366].start 915.68534375
transcript.pyannote[366].end 917.65971875
transcript.pyannote[367].speaker SPEAKER_09
transcript.pyannote[367].start 917.28846875
transcript.pyannote[367].end 931.36221875
transcript.pyannote[368].speaker SPEAKER_05
transcript.pyannote[368].start 931.36221875
transcript.pyannote[368].end 932.69534375
transcript.pyannote[369].speaker SPEAKER_05
transcript.pyannote[369].start 932.83034375
transcript.pyannote[369].end 936.17159375
transcript.pyannote[370].speaker SPEAKER_09
transcript.pyannote[370].start 933.31971875
transcript.pyannote[370].end 933.60659375
transcript.pyannote[371].speaker SPEAKER_09
transcript.pyannote[371].start 933.89346875
transcript.pyannote[371].end 933.91034375
transcript.pyannote[372].speaker SPEAKER_09
transcript.pyannote[372].start 933.99471875
transcript.pyannote[372].end 935.26034375
transcript.pyannote[373].speaker SPEAKER_09
transcript.pyannote[373].start 935.86784375
transcript.pyannote[373].end 947.74784375
transcript.pyannote[374].speaker SPEAKER_05
transcript.pyannote[374].start 945.58784375
transcript.pyannote[374].end 945.77346875
transcript.pyannote[375].speaker SPEAKER_05
transcript.pyannote[375].start 946.83659375
transcript.pyannote[375].end 950.27909375
transcript.pyannote[376].speaker SPEAKER_09
transcript.pyannote[376].start 948.70971875
transcript.pyannote[376].end 950.05971875
transcript.pyannote[377].speaker SPEAKER_05
transcript.pyannote[377].start 950.71784375
transcript.pyannote[377].end 955.24034375
transcript.pyannote[378].speaker SPEAKER_00
transcript.pyannote[378].start 950.85284375
transcript.pyannote[378].end 951.44346875
transcript.pyannote[379].speaker SPEAKER_00
transcript.pyannote[379].start 953.94096875
transcript.pyannote[379].end 963.05346875
transcript.pyannote[380].speaker SPEAKER_05
transcript.pyannote[380].start 962.54721875
transcript.pyannote[380].end 964.87596875
transcript.pyannote[381].speaker SPEAKER_00
transcript.pyannote[381].start 964.79159375
transcript.pyannote[381].end 966.61409375
transcript.pyannote[382].speaker SPEAKER_05
transcript.pyannote[382].start 964.92659375
transcript.pyannote[382].end 965.63534375
transcript.pyannote[383].speaker SPEAKER_05
transcript.pyannote[383].start 966.29346875
transcript.pyannote[383].end 968.52096875
transcript.pyannote[384].speaker SPEAKER_00
transcript.pyannote[384].start 968.11596875
transcript.pyannote[384].end 968.21721875
transcript.pyannote[385].speaker SPEAKER_05
transcript.pyannote[385].start 969.21284375
transcript.pyannote[385].end 970.27596875
transcript.pyannote[386].speaker SPEAKER_05
transcript.pyannote[386].start 970.76534375
transcript.pyannote[386].end 971.94659375
transcript.pyannote[387].speaker SPEAKER_09
transcript.pyannote[387].start 973.16159375
transcript.pyannote[387].end 974.41034375
transcript.pyannote[388].speaker SPEAKER_05
transcript.pyannote[388].start 974.62971875
transcript.pyannote[388].end 978.13971875
transcript.pyannote[389].speaker SPEAKER_09
transcript.pyannote[389].start 977.26221875
transcript.pyannote[389].end 978.10596875
transcript.pyannote[390].speaker SPEAKER_09
transcript.pyannote[390].start 978.13971875
transcript.pyannote[390].end 978.15659375
transcript.pyannote[391].speaker SPEAKER_05
transcript.pyannote[391].start 978.15659375
transcript.pyannote[391].end 979.30409375
transcript.pyannote[392].speaker SPEAKER_09
transcript.pyannote[392].start 978.32534375
transcript.pyannote[392].end 980.68784375
transcript.pyannote[393].speaker SPEAKER_05
transcript.pyannote[393].start 979.32096875
transcript.pyannote[393].end 979.35471875
transcript.pyannote[394].speaker SPEAKER_09
transcript.pyannote[394].start 980.78909375
transcript.pyannote[394].end 982.57784375
transcript.pyannote[395].speaker SPEAKER_05
transcript.pyannote[395].start 982.57784375
transcript.pyannote[395].end 982.59471875
transcript.pyannote[396].speaker SPEAKER_05
transcript.pyannote[396].start 983.01659375
transcript.pyannote[396].end 985.27784375
transcript.pyannote[397].speaker SPEAKER_09
transcript.pyannote[397].start 983.79284375
transcript.pyannote[397].end 983.82659375
transcript.pyannote[398].speaker SPEAKER_09
transcript.pyannote[398].start 985.05846875
transcript.pyannote[398].end 985.21034375
transcript.pyannote[399].speaker SPEAKER_09
transcript.pyannote[399].start 985.27784375
transcript.pyannote[399].end 990.66096875
transcript.pyannote[400].speaker SPEAKER_05
transcript.pyannote[400].start 990.91409375
transcript.pyannote[400].end 993.96846875
transcript.pyannote[401].speaker SPEAKER_09
transcript.pyannote[401].start 993.96846875
transcript.pyannote[401].end 995.20034375
transcript.pyannote[402].speaker SPEAKER_05
transcript.pyannote[402].start 995.62221875
transcript.pyannote[402].end 998.03534375
transcript.pyannote[403].speaker SPEAKER_09
transcript.pyannote[403].start 996.76971875
transcript.pyannote[403].end 997.47846875
transcript.pyannote[404].speaker SPEAKER_09
transcript.pyannote[404].start 997.59659375
transcript.pyannote[404].end 997.73159375
transcript.pyannote[405].speaker SPEAKER_05
transcript.pyannote[405].start 998.08596875
transcript.pyannote[405].end 999.45284375
transcript.pyannote[406].speaker SPEAKER_05
transcript.pyannote[406].start 1000.00971875
transcript.pyannote[406].end 1001.05596875
transcript.pyannote[407].speaker SPEAKER_05
transcript.pyannote[407].start 1001.41034375
transcript.pyannote[407].end 1002.64221875
transcript.pyannote[408].speaker SPEAKER_05
transcript.pyannote[408].start 1003.40159375
transcript.pyannote[408].end 1015.65284375
transcript.pyannote[409].speaker SPEAKER_09
transcript.pyannote[409].start 1011.24846875
transcript.pyannote[409].end 1016.49659375
transcript.pyannote[410].speaker SPEAKER_05
transcript.pyannote[410].start 1015.78784375
transcript.pyannote[410].end 1015.85534375
transcript.pyannote[411].speaker SPEAKER_05
transcript.pyannote[411].start 1015.97346875
transcript.pyannote[411].end 1016.37846875
transcript.pyannote[412].speaker SPEAKER_05
transcript.pyannote[412].start 1016.85096875
transcript.pyannote[412].end 1017.15471875
transcript.pyannote[413].speaker SPEAKER_05
transcript.pyannote[413].start 1017.72846875
transcript.pyannote[413].end 1019.16284375
transcript.pyannote[414].speaker SPEAKER_05
transcript.pyannote[414].start 1020.04034375
transcript.pyannote[414].end 1022.85846875
transcript.pyannote[415].speaker SPEAKER_05
transcript.pyannote[415].start 1024.03971875
transcript.pyannote[415].end 1027.27971875
transcript.pyannote[416].speaker SPEAKER_05
transcript.pyannote[416].start 1028.73096875
transcript.pyannote[416].end 1030.18221875
transcript.pyannote[417].speaker SPEAKER_05
transcript.pyannote[417].start 1030.53659375
transcript.pyannote[417].end 1031.26221875
transcript.pyannote[418].speaker SPEAKER_05
transcript.pyannote[418].start 1032.96659375
transcript.pyannote[418].end 1035.90284375
transcript.pyannote[419].speaker SPEAKER_05
transcript.pyannote[419].start 1036.57784375
transcript.pyannote[419].end 1037.72534375
transcript.pyannote[420].speaker SPEAKER_05
transcript.pyannote[420].start 1038.11346875
transcript.pyannote[420].end 1039.24409375
transcript.pyannote[421].speaker SPEAKER_05
transcript.pyannote[421].start 1040.12159375
transcript.pyannote[421].end 1040.67846875
transcript.pyannote[422].speaker SPEAKER_05
transcript.pyannote[422].start 1040.81346875
transcript.pyannote[422].end 1042.29846875
transcript.pyannote[423].speaker SPEAKER_05
transcript.pyannote[423].start 1043.02409375
transcript.pyannote[423].end 1044.66096875
transcript.pyannote[424].speaker SPEAKER_05
transcript.pyannote[424].start 1044.96471875
transcript.pyannote[424].end 1046.02784375
transcript.pyannote[425].speaker SPEAKER_05
transcript.pyannote[425].start 1047.04034375
transcript.pyannote[425].end 1050.29721875
transcript.pyannote[426].speaker SPEAKER_05
transcript.pyannote[426].start 1050.80346875
transcript.pyannote[426].end 1052.98034375
transcript.pyannote[427].speaker SPEAKER_05
transcript.pyannote[427].start 1053.45284375
transcript.pyannote[427].end 1055.32596875
transcript.pyannote[428].speaker SPEAKER_05
transcript.pyannote[428].start 1056.27096875
transcript.pyannote[428].end 1058.02596875
transcript.pyannote[429].speaker SPEAKER_05
transcript.pyannote[429].start 1059.35909375
transcript.pyannote[429].end 1061.28284375
transcript.pyannote[430].speaker SPEAKER_05
transcript.pyannote[430].start 1061.78909375
transcript.pyannote[430].end 1063.32471875
transcript.pyannote[431].speaker SPEAKER_05
transcript.pyannote[431].start 1063.69596875
transcript.pyannote[431].end 1065.88971875
transcript.pyannote[432].speaker SPEAKER_05
transcript.pyannote[432].start 1066.41284375
transcript.pyannote[432].end 1068.55596875
transcript.pyannote[433].speaker SPEAKER_05
transcript.pyannote[433].start 1069.01159375
transcript.pyannote[433].end 1070.90159375
transcript.pyannote[434].speaker SPEAKER_03
transcript.pyannote[434].start 1071.32346875
transcript.pyannote[434].end 1071.47534375
transcript.pyannote[435].speaker SPEAKER_05
transcript.pyannote[435].start 1072.09971875
transcript.pyannote[435].end 1072.70721875
transcript.pyannote[436].speaker SPEAKER_05
transcript.pyannote[436].start 1073.26409375
transcript.pyannote[436].end 1075.69409375
transcript.pyannote[437].speaker SPEAKER_05
transcript.pyannote[437].start 1077.19596875
transcript.pyannote[437].end 1078.86659375
transcript.pyannote[438].speaker SPEAKER_05
transcript.pyannote[438].start 1079.59221875
transcript.pyannote[438].end 1081.26284375
transcript.pyannote[439].speaker SPEAKER_05
transcript.pyannote[439].start 1081.71846875
transcript.pyannote[439].end 1084.70534375
transcript.pyannote[440].speaker SPEAKER_05
transcript.pyannote[440].start 1084.92471875
transcript.pyannote[440].end 1087.81034375
transcript.pyannote[441].speaker SPEAKER_05
transcript.pyannote[441].start 1088.41784375
transcript.pyannote[441].end 1090.24034375
transcript.pyannote[442].speaker SPEAKER_05
transcript.pyannote[442].start 1090.89846875
transcript.pyannote[442].end 1093.26096875
transcript.pyannote[443].speaker SPEAKER_05
transcript.pyannote[443].start 1094.47596875
transcript.pyannote[443].end 1097.02409375
transcript.pyannote[444].speaker SPEAKER_05
transcript.pyannote[444].start 1098.08721875
transcript.pyannote[444].end 1099.23471875
transcript.pyannote[445].speaker SPEAKER_05
transcript.pyannote[445].start 1099.99409375
transcript.pyannote[445].end 1101.81659375
transcript.pyannote[446].speaker SPEAKER_05
transcript.pyannote[446].start 1102.66034375
transcript.pyannote[446].end 1105.76534375
transcript.pyannote[447].speaker SPEAKER_05
transcript.pyannote[447].start 1106.40659375
transcript.pyannote[447].end 1112.07659375
transcript.pyannote[448].speaker SPEAKER_05
transcript.pyannote[448].start 1112.54909375
transcript.pyannote[448].end 1114.08471875
transcript.pyannote[449].speaker SPEAKER_05
transcript.pyannote[449].start 1114.74284375
transcript.pyannote[449].end 1117.05471875
transcript.pyannote[450].speaker SPEAKER_05
transcript.pyannote[450].start 1117.84784375
transcript.pyannote[450].end 1119.65346875
transcript.pyannote[451].speaker SPEAKER_05
transcript.pyannote[451].start 1120.26096875
transcript.pyannote[451].end 1121.91471875
transcript.pyannote[452].speaker SPEAKER_05
transcript.pyannote[452].start 1122.74159375
transcript.pyannote[452].end 1123.51784375
transcript.pyannote[453].speaker SPEAKER_05
transcript.pyannote[453].start 1124.44596875
transcript.pyannote[453].end 1125.84659375
transcript.pyannote[454].speaker SPEAKER_05
transcript.pyannote[454].start 1126.43721875
transcript.pyannote[454].end 1127.65221875
transcript.pyannote[455].speaker SPEAKER_05
transcript.pyannote[455].start 1128.66471875
transcript.pyannote[455].end 1129.57596875
transcript.pyannote[456].speaker SPEAKER_05
transcript.pyannote[456].start 1130.25096875
transcript.pyannote[456].end 1134.13221875
transcript.pyannote[457].speaker SPEAKER_05
transcript.pyannote[457].start 1134.63846875
transcript.pyannote[457].end 1135.90409375
transcript.pyannote[458].speaker SPEAKER_05
transcript.pyannote[458].start 1136.59596875
transcript.pyannote[458].end 1137.82784375
transcript.pyannote[459].speaker SPEAKER_05
transcript.pyannote[459].start 1138.67159375
transcript.pyannote[459].end 1140.35909375
transcript.pyannote[460].speaker SPEAKER_05
transcript.pyannote[460].start 1141.59096875
transcript.pyannote[460].end 1143.53159375
transcript.pyannote[461].speaker SPEAKER_05
transcript.pyannote[461].start 1144.20659375
transcript.pyannote[461].end 1145.59034375
transcript.pyannote[462].speaker SPEAKER_07
transcript.pyannote[462].start 1145.94471875
transcript.pyannote[462].end 1149.15096875
transcript.pyannote[463].speaker SPEAKER_07
transcript.pyannote[463].start 1149.64034375
transcript.pyannote[463].end 1154.38221875
transcript.pyannote[464].speaker SPEAKER_07
transcript.pyannote[464].start 1154.85471875
transcript.pyannote[464].end 1159.73159375
transcript.pyannote[465].speaker SPEAKER_07
transcript.pyannote[465].start 1160.11971875
transcript.pyannote[465].end 1164.11909375
transcript.pyannote[466].speaker SPEAKER_05
transcript.pyannote[466].start 1163.47784375
transcript.pyannote[466].end 1166.12721875
transcript.pyannote[467].speaker SPEAKER_07
transcript.pyannote[467].start 1166.07659375
transcript.pyannote[467].end 1166.97096875
transcript.pyannote[468].speaker SPEAKER_05
transcript.pyannote[468].start 1166.43096875
transcript.pyannote[468].end 1169.53596875
transcript.pyannote[469].speaker SPEAKER_04
transcript.pyannote[469].start 1166.97096875
transcript.pyannote[469].end 1167.03846875
transcript.pyannote[470].speaker SPEAKER_07
transcript.pyannote[470].start 1167.03846875
transcript.pyannote[470].end 1167.96659375
transcript.pyannote[471].speaker SPEAKER_04
transcript.pyannote[471].start 1167.96659375
transcript.pyannote[471].end 1168.35471875
transcript.pyannote[472].speaker SPEAKER_07
transcript.pyannote[472].start 1168.35471875
transcript.pyannote[472].end 1168.37159375
transcript.pyannote[473].speaker SPEAKER_04
transcript.pyannote[473].start 1168.37159375
transcript.pyannote[473].end 1168.45596875
transcript.pyannote[474].speaker SPEAKER_04
transcript.pyannote[474].start 1169.85659375
transcript.pyannote[474].end 1172.03346875
transcript.pyannote[475].speaker SPEAKER_05
transcript.pyannote[475].start 1170.68346875
transcript.pyannote[475].end 1171.40909375
transcript.pyannote[476].speaker SPEAKER_07
transcript.pyannote[476].start 1172.03346875
transcript.pyannote[476].end 1172.52284375
transcript.pyannote[477].speaker SPEAKER_04
transcript.pyannote[477].start 1172.52284375
transcript.pyannote[477].end 1172.70846875
transcript.pyannote[478].speaker SPEAKER_05
transcript.pyannote[478].start 1172.62409375
transcript.pyannote[478].end 1174.93596875
transcript.pyannote[479].speaker SPEAKER_07
transcript.pyannote[479].start 1172.70846875
transcript.pyannote[479].end 1172.97846875
transcript.pyannote[480].speaker SPEAKER_04
transcript.pyannote[480].start 1172.97846875
transcript.pyannote[480].end 1173.24846875
transcript.pyannote[481].speaker SPEAKER_07
transcript.pyannote[481].start 1173.24846875
transcript.pyannote[481].end 1173.31596875
transcript.pyannote[482].speaker SPEAKER_04
transcript.pyannote[482].start 1173.31596875
transcript.pyannote[482].end 1173.33284375
transcript.pyannote[483].speaker SPEAKER_04
transcript.pyannote[483].start 1174.93596875
transcript.pyannote[483].end 1174.96971875
transcript.pyannote[484].speaker SPEAKER_05
transcript.pyannote[484].start 1174.96971875
transcript.pyannote[484].end 1175.03721875
transcript.pyannote[485].speaker SPEAKER_04
transcript.pyannote[485].start 1175.03721875
transcript.pyannote[485].end 1175.22284375
transcript.pyannote[486].speaker SPEAKER_05
transcript.pyannote[486].start 1175.22284375
transcript.pyannote[486].end 1176.28596875
transcript.pyannote[487].speaker SPEAKER_04
transcript.pyannote[487].start 1175.59409375
transcript.pyannote[487].end 1175.61096875
transcript.pyannote[488].speaker SPEAKER_07
transcript.pyannote[488].start 1175.61096875
transcript.pyannote[488].end 1179.79596875
transcript.pyannote[489].speaker SPEAKER_07
transcript.pyannote[489].start 1179.89721875
transcript.pyannote[489].end 1182.37784375
transcript.pyannote[490].speaker SPEAKER_07
transcript.pyannote[490].start 1182.56346875
transcript.pyannote[490].end 1186.02284375
transcript.pyannote[491].speaker SPEAKER_05
transcript.pyannote[491].start 1186.02284375
transcript.pyannote[491].end 1189.44846875
transcript.pyannote[492].speaker SPEAKER_07
transcript.pyannote[492].start 1186.07346875
transcript.pyannote[492].end 1187.17034375
transcript.pyannote[493].speaker SPEAKER_04
transcript.pyannote[493].start 1187.17034375
transcript.pyannote[493].end 1187.69346875
transcript.pyannote[494].speaker SPEAKER_07
transcript.pyannote[494].start 1189.80284375
transcript.pyannote[494].end 1191.47346875
transcript.pyannote[495].speaker SPEAKER_05
transcript.pyannote[495].start 1190.20784375
transcript.pyannote[495].end 1190.79846875
transcript.pyannote[496].speaker SPEAKER_05
transcript.pyannote[496].start 1191.37221875
transcript.pyannote[496].end 1194.22409375
transcript.pyannote[497].speaker SPEAKER_05
transcript.pyannote[497].start 1195.16909375
transcript.pyannote[497].end 1195.86096875
transcript.pyannote[498].speaker SPEAKER_05
transcript.pyannote[498].start 1196.13096875
transcript.pyannote[498].end 1197.19409375
transcript.pyannote[499].speaker SPEAKER_05
transcript.pyannote[499].start 1197.43034375
transcript.pyannote[499].end 1199.87721875
transcript.pyannote[500].speaker SPEAKER_05
transcript.pyannote[500].start 1200.36659375
transcript.pyannote[500].end 1201.71659375
transcript.pyannote[501].speaker SPEAKER_05
transcript.pyannote[501].start 1201.93596875
transcript.pyannote[501].end 1202.64471875
transcript.pyannote[502].speaker SPEAKER_05
transcript.pyannote[502].start 1205.00721875
transcript.pyannote[502].end 1207.18409375
transcript.pyannote[503].speaker SPEAKER_05
transcript.pyannote[503].start 1207.80846875
transcript.pyannote[503].end 1208.17971875
transcript.pyannote[504].speaker SPEAKER_05
transcript.pyannote[504].start 1208.53409375
transcript.pyannote[504].end 1209.37784375
transcript.pyannote[505].speaker SPEAKER_05
transcript.pyannote[505].start 1210.55909375
transcript.pyannote[505].end 1212.63471875
transcript.pyannote[506].speaker SPEAKER_05
transcript.pyannote[506].start 1214.20409375
transcript.pyannote[506].end 1217.46096875
transcript.pyannote[507].speaker SPEAKER_05
transcript.pyannote[507].start 1218.43971875
transcript.pyannote[507].end 1220.36346875
transcript.pyannote[508].speaker SPEAKER_05
transcript.pyannote[508].start 1221.02159375
transcript.pyannote[508].end 1222.23659375
transcript.pyannote[509].speaker SPEAKER_05
transcript.pyannote[509].start 1222.54034375
transcript.pyannote[509].end 1224.19409375
transcript.pyannote[510].speaker SPEAKER_05
transcript.pyannote[510].start 1224.53159375
transcript.pyannote[510].end 1226.99534375
transcript.pyannote[511].speaker SPEAKER_05
transcript.pyannote[511].start 1227.58596875
transcript.pyannote[511].end 1228.73346875
transcript.pyannote[512].speaker SPEAKER_05
transcript.pyannote[512].start 1228.91909375
transcript.pyannote[512].end 1230.69096875
transcript.pyannote[513].speaker SPEAKER_05
transcript.pyannote[513].start 1231.78784375
transcript.pyannote[513].end 1233.01971875
transcript.pyannote[514].speaker SPEAKER_05
transcript.pyannote[514].start 1233.18846875
transcript.pyannote[514].end 1233.72846875
transcript.pyannote[515].speaker SPEAKER_05
transcript.pyannote[515].start 1234.53846875
transcript.pyannote[515].end 1237.89659375
transcript.pyannote[516].speaker SPEAKER_05
transcript.pyannote[516].start 1238.01471875
transcript.pyannote[516].end 1240.81596875
transcript.pyannote[517].speaker SPEAKER_00
transcript.pyannote[517].start 1240.81596875
transcript.pyannote[517].end 1241.59221875
transcript.pyannote[518].speaker SPEAKER_05
transcript.pyannote[518].start 1241.22096875
transcript.pyannote[518].end 1242.11534375
transcript.pyannote[519].speaker SPEAKER_00
transcript.pyannote[519].start 1242.21659375
transcript.pyannote[519].end 1245.03471875
transcript.pyannote[520].speaker SPEAKER_00
transcript.pyannote[520].start 1245.15284375
transcript.pyannote[520].end 1251.00846875
transcript.pyannote[521].speaker SPEAKER_05
transcript.pyannote[521].start 1250.38409375
transcript.pyannote[521].end 1250.99159375
transcript.pyannote[522].speaker SPEAKER_05
transcript.pyannote[522].start 1251.00846875
transcript.pyannote[522].end 1251.02534375
transcript.pyannote[523].speaker SPEAKER_00
transcript.pyannote[523].start 1251.02534375
transcript.pyannote[523].end 1251.05909375
transcript.pyannote[524].speaker SPEAKER_05
transcript.pyannote[524].start 1251.05909375
transcript.pyannote[524].end 1251.86909375
transcript.pyannote[525].speaker SPEAKER_00
transcript.pyannote[525].start 1251.86909375
transcript.pyannote[525].end 1260.25596875
transcript.pyannote[526].speaker SPEAKER_05
transcript.pyannote[526].start 1251.91971875
transcript.pyannote[526].end 1252.49346875
transcript.pyannote[527].speaker SPEAKER_05
transcript.pyannote[527].start 1254.56909375
transcript.pyannote[527].end 1255.61534375
transcript.pyannote[528].speaker SPEAKER_05
transcript.pyannote[528].start 1258.88909375
transcript.pyannote[528].end 1260.89721875
transcript.pyannote[529].speaker SPEAKER_05
transcript.pyannote[529].start 1261.09971875
transcript.pyannote[529].end 1264.06971875
transcript.pyannote[530].speaker SPEAKER_05
transcript.pyannote[530].start 1264.84596875
transcript.pyannote[530].end 1266.04409375
transcript.pyannote[531].speaker SPEAKER_05
transcript.pyannote[531].start 1266.44909375
transcript.pyannote[531].end 1267.44471875
transcript.pyannote[532].speaker SPEAKER_05
transcript.pyannote[532].start 1268.00159375
transcript.pyannote[532].end 1270.21221875
transcript.pyannote[533].speaker SPEAKER_05
transcript.pyannote[533].start 1270.81971875
transcript.pyannote[533].end 1273.73909375
transcript.pyannote[534].speaker SPEAKER_00
transcript.pyannote[534].start 1272.70971875
transcript.pyannote[534].end 1278.46409375
transcript.pyannote[535].speaker SPEAKER_05
transcript.pyannote[535].start 1277.50221875
transcript.pyannote[535].end 1281.90659375
transcript.pyannote[536].speaker SPEAKER_00
transcript.pyannote[536].start 1279.93221875
transcript.pyannote[536].end 1281.53534375
transcript.pyannote[537].speaker SPEAKER_05
transcript.pyannote[537].start 1282.39596875
transcript.pyannote[537].end 1284.03284375
transcript.pyannote[538].speaker SPEAKER_00
transcript.pyannote[538].start 1284.03284375
transcript.pyannote[538].end 1290.85034375
transcript.pyannote[539].speaker SPEAKER_00
transcript.pyannote[539].start 1291.13721875
transcript.pyannote[539].end 1295.33909375
transcript.pyannote[540].speaker SPEAKER_05
transcript.pyannote[540].start 1294.69784375
transcript.pyannote[540].end 1297.78596875
transcript.pyannote[541].speaker SPEAKER_05
transcript.pyannote[541].start 1298.15721875
transcript.pyannote[541].end 1301.05971875
transcript.pyannote[542].speaker SPEAKER_09
transcript.pyannote[542].start 1301.05971875
transcript.pyannote[542].end 1302.02159375
transcript.pyannote[543].speaker SPEAKER_05
transcript.pyannote[543].start 1303.84409375
transcript.pyannote[543].end 1305.19409375
transcript.pyannote[544].speaker SPEAKER_05
transcript.pyannote[544].start 1305.91971875
transcript.pyannote[544].end 1308.31596875
transcript.pyannote[545].speaker SPEAKER_05
transcript.pyannote[545].start 1309.07534375
transcript.pyannote[545].end 1311.37034375
transcript.pyannote[546].speaker SPEAKER_05
transcript.pyannote[546].start 1312.12971875
transcript.pyannote[546].end 1314.40784375
transcript.pyannote[547].speaker SPEAKER_05
transcript.pyannote[547].start 1316.21346875
transcript.pyannote[547].end 1316.73659375
transcript.pyannote[548].speaker SPEAKER_05
transcript.pyannote[548].start 1317.07409375
transcript.pyannote[548].end 1318.77846875
transcript.pyannote[549].speaker SPEAKER_05
transcript.pyannote[549].start 1319.85846875
transcript.pyannote[549].end 1320.90471875
transcript.pyannote[550].speaker SPEAKER_05
transcript.pyannote[550].start 1322.10284375
transcript.pyannote[550].end 1327.63784375
transcript.pyannote[551].speaker SPEAKER_05
transcript.pyannote[551].start 1328.61659375
transcript.pyannote[551].end 1330.77659375
transcript.pyannote[552].speaker SPEAKER_05
transcript.pyannote[552].start 1331.55284375
transcript.pyannote[552].end 1333.74659375
transcript.pyannote[553].speaker SPEAKER_05
transcript.pyannote[553].start 1333.86471875
transcript.pyannote[553].end 1333.88159375
transcript.pyannote[554].speaker SPEAKER_09
transcript.pyannote[554].start 1333.88159375
transcript.pyannote[554].end 1334.26971875
transcript.pyannote[555].speaker SPEAKER_05
transcript.pyannote[555].start 1333.99971875
transcript.pyannote[555].end 1334.60721875
transcript.pyannote[556].speaker SPEAKER_05
transcript.pyannote[556].start 1335.23159375
transcript.pyannote[556].end 1337.61096875
transcript.pyannote[557].speaker SPEAKER_05
transcript.pyannote[557].start 1337.96534375
transcript.pyannote[557].end 1339.65284375
transcript.pyannote[558].speaker SPEAKER_05
transcript.pyannote[558].start 1339.92284375
transcript.pyannote[558].end 1341.30659375
transcript.pyannote[559].speaker SPEAKER_05
transcript.pyannote[559].start 1341.71159375
transcript.pyannote[559].end 1342.85909375
transcript.pyannote[560].speaker SPEAKER_08
transcript.pyannote[560].start 1343.12909375
transcript.pyannote[560].end 1347.53346875
transcript.pyannote[561].speaker SPEAKER_05
transcript.pyannote[561].start 1347.01034375
transcript.pyannote[561].end 1347.82034375
transcript.pyannote[562].speaker SPEAKER_08
transcript.pyannote[562].start 1347.82034375
transcript.pyannote[562].end 1348.02284375
transcript.pyannote[563].speaker SPEAKER_05
transcript.pyannote[563].start 1348.02284375
transcript.pyannote[563].end 1348.74846875
transcript.pyannote[564].speaker SPEAKER_08
transcript.pyannote[564].start 1349.20409375
transcript.pyannote[564].end 1352.71409375
transcript.pyannote[565].speaker SPEAKER_05
transcript.pyannote[565].start 1351.16159375
transcript.pyannote[565].end 1351.60034375
transcript.pyannote[566].speaker SPEAKER_05
transcript.pyannote[566].start 1352.22471875
transcript.pyannote[566].end 1353.49034375
transcript.pyannote[567].speaker SPEAKER_08
transcript.pyannote[567].start 1353.49034375
transcript.pyannote[567].end 1358.35034375
transcript.pyannote[568].speaker SPEAKER_08
transcript.pyannote[568].start 1358.77221875
transcript.pyannote[568].end 1361.03346875
transcript.pyannote[569].speaker SPEAKER_05
transcript.pyannote[569].start 1360.62846875
transcript.pyannote[569].end 1364.72909375
transcript.pyannote[570].speaker SPEAKER_05
transcript.pyannote[570].start 1365.64034375
transcript.pyannote[570].end 1365.70784375
transcript.pyannote[571].speaker SPEAKER_09
transcript.pyannote[571].start 1365.70784375
transcript.pyannote[571].end 1365.75846875
transcript.pyannote[572].speaker SPEAKER_05
transcript.pyannote[572].start 1366.31534375
transcript.pyannote[572].end 1368.62721875
transcript.pyannote[573].speaker SPEAKER_09
transcript.pyannote[573].start 1368.62721875
transcript.pyannote[573].end 1369.48784375
transcript.pyannote[574].speaker SPEAKER_05
transcript.pyannote[574].start 1369.48784375
transcript.pyannote[574].end 1369.53846875
transcript.pyannote[575].speaker SPEAKER_05
transcript.pyannote[575].start 1369.60596875
transcript.pyannote[575].end 1372.03596875
transcript.pyannote[576].speaker SPEAKER_05
transcript.pyannote[576].start 1372.32284375
transcript.pyannote[576].end 1375.27596875
transcript.pyannote[577].speaker SPEAKER_05
transcript.pyannote[577].start 1375.84971875
transcript.pyannote[577].end 1378.27971875
transcript.pyannote[578].speaker SPEAKER_05
transcript.pyannote[578].start 1379.10659375
transcript.pyannote[578].end 1379.74784375
transcript.pyannote[579].speaker SPEAKER_05
transcript.pyannote[579].start 1380.69284375
transcript.pyannote[579].end 1382.93721875
transcript.pyannote[580].speaker SPEAKER_05
transcript.pyannote[580].start 1383.59534375
transcript.pyannote[580].end 1387.35846875
transcript.pyannote[581].speaker SPEAKER_08
transcript.pyannote[581].start 1387.62846875
transcript.pyannote[581].end 1402.63034375
transcript.pyannote[582].speaker SPEAKER_05
transcript.pyannote[582].start 1394.29409375
transcript.pyannote[582].end 1394.86784375
transcript.pyannote[583].speaker SPEAKER_08
transcript.pyannote[583].start 1402.93409375
transcript.pyannote[583].end 1404.06471875
transcript.pyannote[584].speaker SPEAKER_05
transcript.pyannote[584].start 1403.13659375
transcript.pyannote[584].end 1403.77784375
transcript.pyannote[585].speaker SPEAKER_05
transcript.pyannote[585].start 1404.23346875
transcript.pyannote[585].end 1406.62971875
transcript.pyannote[586].speaker SPEAKER_08
transcript.pyannote[586].start 1407.00096875
transcript.pyannote[586].end 1407.06846875
transcript.pyannote[587].speaker SPEAKER_05
transcript.pyannote[587].start 1407.06846875
transcript.pyannote[587].end 1407.28784375
transcript.pyannote[588].speaker SPEAKER_08
transcript.pyannote[588].start 1407.28784375
transcript.pyannote[588].end 1407.42284375
transcript.pyannote[589].speaker SPEAKER_05
transcript.pyannote[589].start 1407.42284375
transcript.pyannote[589].end 1409.68409375
transcript.pyannote[590].speaker SPEAKER_08
transcript.pyannote[590].start 1409.68409375
transcript.pyannote[590].end 1414.08846875
transcript.pyannote[591].speaker SPEAKER_05
transcript.pyannote[591].start 1413.32909375
transcript.pyannote[591].end 1414.71284375
transcript.pyannote[592].speaker SPEAKER_08
transcript.pyannote[592].start 1414.71284375
transcript.pyannote[592].end 1418.45909375
transcript.pyannote[593].speaker SPEAKER_05
transcript.pyannote[593].start 1416.34971875
transcript.pyannote[593].end 1419.04971875
transcript.pyannote[594].speaker SPEAKER_05
transcript.pyannote[594].start 1419.96096875
transcript.pyannote[594].end 1420.36596875
transcript.pyannote[595].speaker SPEAKER_08
transcript.pyannote[595].start 1420.36596875
transcript.pyannote[595].end 1421.90159375
transcript.pyannote[596].speaker SPEAKER_05
transcript.pyannote[596].start 1420.72034375
transcript.pyannote[596].end 1423.06596875
transcript.pyannote[597].speaker SPEAKER_08
transcript.pyannote[597].start 1423.06596875
transcript.pyannote[597].end 1423.11659375
transcript.pyannote[598].speaker SPEAKER_05
transcript.pyannote[598].start 1423.11659375
transcript.pyannote[598].end 1427.21721875
transcript.pyannote[599].speaker SPEAKER_08
transcript.pyannote[599].start 1423.38659375
transcript.pyannote[599].end 1425.79971875
transcript.pyannote[600].speaker SPEAKER_05
transcript.pyannote[600].start 1427.36909375
transcript.pyannote[600].end 1431.03096875
transcript.pyannote[601].speaker SPEAKER_05
transcript.pyannote[601].start 1432.38096875
transcript.pyannote[601].end 1433.42721875
transcript.pyannote[602].speaker SPEAKER_05
transcript.pyannote[602].start 1434.97971875
transcript.pyannote[602].end 1435.50284375
transcript.pyannote[603].speaker SPEAKER_09
transcript.pyannote[603].start 1435.97534375
transcript.pyannote[603].end 1436.27909375
transcript.pyannote[604].speaker SPEAKER_05
transcript.pyannote[604].start 1437.25784375
transcript.pyannote[604].end 1440.24471875
transcript.pyannote[605].speaker SPEAKER_05
transcript.pyannote[605].start 1441.35846875
transcript.pyannote[605].end 1445.42534375
transcript.pyannote[606].speaker SPEAKER_05
transcript.pyannote[606].start 1446.48846875
transcript.pyannote[606].end 1449.50909375
transcript.pyannote[607].speaker SPEAKER_05
transcript.pyannote[607].start 1449.77909375
transcript.pyannote[607].end 1450.33596875
transcript.pyannote[608].speaker SPEAKER_05
transcript.pyannote[608].start 1451.04471875
transcript.pyannote[608].end 1452.14159375
transcript.pyannote[609].speaker SPEAKER_05
transcript.pyannote[609].start 1453.13721875
transcript.pyannote[609].end 1455.09471875
transcript.pyannote[610].speaker SPEAKER_05
transcript.pyannote[610].start 1455.76971875
transcript.pyannote[610].end 1457.55846875
transcript.pyannote[611].speaker SPEAKER_05
transcript.pyannote[611].start 1458.21659375
transcript.pyannote[611].end 1459.41471875
transcript.pyannote[612].speaker SPEAKER_05
transcript.pyannote[612].start 1460.71409375
transcript.pyannote[612].end 1463.17784375
transcript.pyannote[613].speaker SPEAKER_05
transcript.pyannote[613].start 1464.03846875
transcript.pyannote[613].end 1465.52346875
transcript.pyannote[614].speaker SPEAKER_05
transcript.pyannote[614].start 1466.77221875
transcript.pyannote[614].end 1469.38784375
transcript.pyannote[615].speaker SPEAKER_05
transcript.pyannote[615].start 1469.69159375
transcript.pyannote[615].end 1470.68721875
transcript.pyannote[616].speaker SPEAKER_05
transcript.pyannote[616].start 1471.32846875
transcript.pyannote[616].end 1473.53909375
transcript.pyannote[617].speaker SPEAKER_05
transcript.pyannote[617].start 1474.07909375
transcript.pyannote[617].end 1475.05784375
transcript.pyannote[618].speaker SPEAKER_05
transcript.pyannote[618].start 1475.78346875
transcript.pyannote[618].end 1477.06596875
transcript.pyannote[619].speaker SPEAKER_05
transcript.pyannote[619].start 1477.58909375
transcript.pyannote[619].end 1478.77034375
transcript.pyannote[620].speaker SPEAKER_05
transcript.pyannote[620].start 1479.04034375
transcript.pyannote[620].end 1483.68096875
transcript.pyannote[621].speaker SPEAKER_05
transcript.pyannote[621].start 1484.28846875
transcript.pyannote[621].end 1485.19971875
transcript.pyannote[622].speaker SPEAKER_06
transcript.pyannote[622].start 1485.85784375
transcript.pyannote[622].end 1487.08971875
transcript.pyannote[623].speaker SPEAKER_05
transcript.pyannote[623].start 1486.07721875
transcript.pyannote[623].end 1488.70971875
transcript.pyannote[624].speaker SPEAKER_05
transcript.pyannote[624].start 1489.28346875
transcript.pyannote[624].end 1490.75159375
transcript.pyannote[625].speaker SPEAKER_05
transcript.pyannote[625].start 1491.61221875
transcript.pyannote[625].end 1493.35034375
transcript.pyannote[626].speaker SPEAKER_05
transcript.pyannote[626].start 1494.12659375
transcript.pyannote[626].end 1498.10909375
transcript.pyannote[627].speaker SPEAKER_05
transcript.pyannote[627].start 1498.71659375
transcript.pyannote[627].end 1502.14221875
transcript.pyannote[628].speaker SPEAKER_05
transcript.pyannote[628].start 1502.95221875
transcript.pyannote[628].end 1504.43721875
transcript.pyannote[629].speaker SPEAKER_05
transcript.pyannote[629].start 1505.02784375
transcript.pyannote[629].end 1506.12471875
transcript.pyannote[630].speaker SPEAKER_05
transcript.pyannote[630].start 1506.91784375
transcript.pyannote[630].end 1508.97659375
transcript.pyannote[631].speaker SPEAKER_05
transcript.pyannote[631].start 1509.73596875
transcript.pyannote[631].end 1510.54596875
transcript.pyannote[632].speaker SPEAKER_05
transcript.pyannote[632].start 1510.84971875
transcript.pyannote[632].end 1511.96346875
transcript.pyannote[633].speaker SPEAKER_05
transcript.pyannote[633].start 1512.41909375
transcript.pyannote[633].end 1512.87471875
transcript.pyannote[634].speaker SPEAKER_05
transcript.pyannote[634].start 1513.51596875
transcript.pyannote[634].end 1517.53221875
transcript.pyannote[635].speaker SPEAKER_05
transcript.pyannote[635].start 1518.57846875
transcript.pyannote[635].end 1521.39659375
transcript.pyannote[636].speaker SPEAKER_05
transcript.pyannote[636].start 1522.00409375
transcript.pyannote[636].end 1523.64096875
transcript.pyannote[637].speaker SPEAKER_05
transcript.pyannote[637].start 1524.07971875
transcript.pyannote[637].end 1525.66596875
transcript.pyannote[638].speaker SPEAKER_05
transcript.pyannote[638].start 1526.76284375
transcript.pyannote[638].end 1529.42909375
transcript.pyannote[639].speaker SPEAKER_05
transcript.pyannote[639].start 1529.86784375
transcript.pyannote[639].end 1531.62284375
transcript.pyannote[640].speaker SPEAKER_05
transcript.pyannote[640].start 1532.07846875
transcript.pyannote[640].end 1533.56346875
transcript.pyannote[641].speaker SPEAKER_05
transcript.pyannote[641].start 1534.82909375
transcript.pyannote[641].end 1536.85409375
transcript.pyannote[642].speaker SPEAKER_05
transcript.pyannote[642].start 1537.15784375
transcript.pyannote[642].end 1539.21659375
transcript.pyannote[643].speaker SPEAKER_06
transcript.pyannote[643].start 1537.29284375
transcript.pyannote[643].end 1537.78221875
transcript.pyannote[644].speaker SPEAKER_06
transcript.pyannote[644].start 1538.47409375
transcript.pyannote[644].end 1570.03034375
transcript.pyannote[645].speaker SPEAKER_06
transcript.pyannote[645].start 1570.45221875
transcript.pyannote[645].end 1578.51846875
transcript.pyannote[646].speaker SPEAKER_05
transcript.pyannote[646].start 1578.18096875
transcript.pyannote[646].end 1580.64471875
transcript.pyannote[647].speaker SPEAKER_05
transcript.pyannote[647].start 1581.06659375
transcript.pyannote[647].end 1583.58096875
transcript.pyannote[648].speaker SPEAKER_06
transcript.pyannote[648].start 1583.68221875
transcript.pyannote[648].end 1587.14159375
transcript.pyannote[649].speaker SPEAKER_05
transcript.pyannote[649].start 1586.36534375
transcript.pyannote[649].end 1590.66846875
transcript.pyannote[650].speaker SPEAKER_05
transcript.pyannote[650].start 1591.17471875
transcript.pyannote[650].end 1593.73971875
transcript.pyannote[651].speaker SPEAKER_06
transcript.pyannote[651].start 1591.20846875
transcript.pyannote[651].end 1591.52909375
transcript.pyannote[652].speaker SPEAKER_06
transcript.pyannote[652].start 1592.71034375
transcript.pyannote[652].end 1594.43159375
transcript.pyannote[653].speaker SPEAKER_05
transcript.pyannote[653].start 1594.43159375
transcript.pyannote[653].end 1597.38471875
transcript.pyannote[654].speaker SPEAKER_06
transcript.pyannote[654].start 1594.46534375
transcript.pyannote[654].end 1595.00534375
transcript.pyannote[655].speaker SPEAKER_05
transcript.pyannote[655].start 1597.99221875
transcript.pyannote[655].end 1600.05096875
transcript.pyannote[656].speaker SPEAKER_05
transcript.pyannote[656].start 1600.72596875
transcript.pyannote[656].end 1601.28284375
transcript.pyannote[657].speaker SPEAKER_05
transcript.pyannote[657].start 1601.87346875
transcript.pyannote[657].end 1603.54409375
transcript.pyannote[658].speaker SPEAKER_06
transcript.pyannote[658].start 1603.56096875
transcript.pyannote[658].end 1604.80971875
transcript.pyannote[659].speaker SPEAKER_05
transcript.pyannote[659].start 1604.59034375
transcript.pyannote[659].end 1606.75034375
transcript.pyannote[660].speaker SPEAKER_06
transcript.pyannote[660].start 1606.54784375
transcript.pyannote[660].end 1607.45909375
transcript.pyannote[661].speaker SPEAKER_06
transcript.pyannote[661].start 1607.72909375
transcript.pyannote[661].end 1609.01159375
transcript.pyannote[662].speaker SPEAKER_05
transcript.pyannote[662].start 1608.97784375
transcript.pyannote[662].end 1613.26409375
transcript.pyannote[663].speaker SPEAKER_05
transcript.pyannote[663].start 1613.73659375
transcript.pyannote[663].end 1619.10284375
transcript.pyannote[664].speaker SPEAKER_06
transcript.pyannote[664].start 1615.17096875
transcript.pyannote[664].end 1615.32284375
transcript.pyannote[665].speaker SPEAKER_06
transcript.pyannote[665].start 1619.57534375
transcript.pyannote[665].end 1622.42721875
transcript.pyannote[666].speaker SPEAKER_05
transcript.pyannote[666].start 1620.55409375
transcript.pyannote[666].end 1627.01721875
transcript.pyannote[667].speaker SPEAKER_06
transcript.pyannote[667].start 1624.87409375
transcript.pyannote[667].end 1624.95846875
transcript.pyannote[668].speaker SPEAKER_06
transcript.pyannote[668].start 1625.07659375
transcript.pyannote[668].end 1625.09346875
transcript.pyannote[669].speaker SPEAKER_05
transcript.pyannote[669].start 1627.77659375
transcript.pyannote[669].end 1630.13909375
transcript.pyannote[670].speaker SPEAKER_05
transcript.pyannote[670].start 1630.66221875
transcript.pyannote[670].end 1632.04596875
transcript.pyannote[671].speaker SPEAKER_05
transcript.pyannote[671].start 1632.14721875
transcript.pyannote[671].end 1633.63221875
transcript.pyannote[672].speaker SPEAKER_05
transcript.pyannote[672].start 1634.12159375
transcript.pyannote[672].end 1636.58534375
transcript.pyannote[673].speaker SPEAKER_05
transcript.pyannote[673].start 1637.22659375
transcript.pyannote[673].end 1639.52159375
transcript.pyannote[674].speaker SPEAKER_05
transcript.pyannote[674].start 1639.85909375
transcript.pyannote[674].end 1642.39034375
transcript.pyannote[675].speaker SPEAKER_05
transcript.pyannote[675].start 1642.69409375
transcript.pyannote[675].end 1643.21721875
transcript.pyannote[676].speaker SPEAKER_06
transcript.pyannote[676].start 1643.38596875
transcript.pyannote[676].end 1653.71346875
transcript.pyannote[677].speaker SPEAKER_05
transcript.pyannote[677].start 1651.35096875
transcript.pyannote[677].end 1653.98346875
transcript.pyannote[678].speaker SPEAKER_05
transcript.pyannote[678].start 1654.32096875
transcript.pyannote[678].end 1654.87784375
transcript.pyannote[679].speaker SPEAKER_05
transcript.pyannote[679].start 1655.65409375
transcript.pyannote[679].end 1657.08846875
transcript.pyannote[680].speaker SPEAKER_05
transcript.pyannote[680].start 1657.61159375
transcript.pyannote[680].end 1659.01221875
transcript.pyannote[681].speaker SPEAKER_05
transcript.pyannote[681].start 1659.43409375
transcript.pyannote[681].end 1661.18909375
transcript.pyannote[682].speaker SPEAKER_05
transcript.pyannote[682].start 1662.28596875
transcript.pyannote[682].end 1672.51221875
transcript.pyannote[683].speaker SPEAKER_05
transcript.pyannote[683].start 1673.27159375
transcript.pyannote[683].end 1674.68909375
transcript.pyannote[684].speaker SPEAKER_03
transcript.pyannote[684].start 1673.62596875
transcript.pyannote[684].end 1673.81159375
transcript.pyannote[685].speaker SPEAKER_05
transcript.pyannote[685].start 1675.26284375
transcript.pyannote[685].end 1678.18221875
transcript.pyannote[686].speaker SPEAKER_05
transcript.pyannote[686].start 1678.53659375
transcript.pyannote[686].end 1680.07221875
transcript.pyannote[687].speaker SPEAKER_05
transcript.pyannote[687].start 1680.56159375
transcript.pyannote[687].end 1682.06346875
transcript.pyannote[688].speaker SPEAKER_05
transcript.pyannote[688].start 1682.83971875
transcript.pyannote[688].end 1686.19784375
transcript.pyannote[689].speaker SPEAKER_05
transcript.pyannote[689].start 1686.94034375
transcript.pyannote[689].end 1688.25659375
transcript.pyannote[690].speaker SPEAKER_05
transcript.pyannote[690].start 1688.76284375
transcript.pyannote[690].end 1691.10846875
transcript.pyannote[691].speaker SPEAKER_05
transcript.pyannote[691].start 1691.68221875
transcript.pyannote[691].end 1692.91409375
transcript.pyannote[692].speaker SPEAKER_05
transcript.pyannote[692].start 1693.36971875
transcript.pyannote[692].end 1694.23034375
transcript.pyannote[693].speaker SPEAKER_05
transcript.pyannote[693].start 1694.68596875
transcript.pyannote[693].end 1695.98534375
transcript.pyannote[694].speaker SPEAKER_06
transcript.pyannote[694].start 1696.35659375
transcript.pyannote[694].end 1707.54471875
transcript.pyannote[695].speaker SPEAKER_05
transcript.pyannote[695].start 1699.34346875
transcript.pyannote[695].end 1700.23784375
transcript.pyannote[696].speaker SPEAKER_05
transcript.pyannote[696].start 1706.65034375
transcript.pyannote[696].end 1708.69221875
transcript.pyannote[697].speaker SPEAKER_06
transcript.pyannote[697].start 1708.84409375
transcript.pyannote[697].end 1721.19659375
transcript.pyannote[698].speaker SPEAKER_05
transcript.pyannote[698].start 1720.01534375
transcript.pyannote[698].end 1724.25096875
transcript.pyannote[699].speaker SPEAKER_05
transcript.pyannote[699].start 1724.38596875
transcript.pyannote[699].end 1724.40284375
transcript.pyannote[700].speaker SPEAKER_06
transcript.pyannote[700].start 1724.40284375
transcript.pyannote[700].end 1725.95534375
transcript.pyannote[701].speaker SPEAKER_05
transcript.pyannote[701].start 1724.43659375
transcript.pyannote[701].end 1727.60909375
transcript.pyannote[702].speaker SPEAKER_03
transcript.pyannote[702].start 1725.95534375
transcript.pyannote[702].end 1725.97221875
transcript.pyannote[703].speaker SPEAKER_06
transcript.pyannote[703].start 1727.13659375
transcript.pyannote[703].end 1727.54159375
transcript.pyannote[704].speaker SPEAKER_05
transcript.pyannote[704].start 1727.98034375
transcript.pyannote[704].end 1733.63346875
transcript.pyannote[705].speaker SPEAKER_06
transcript.pyannote[705].start 1731.64221875
transcript.pyannote[705].end 1733.73471875
transcript.pyannote[706].speaker SPEAKER_05
transcript.pyannote[706].start 1733.66721875
transcript.pyannote[706].end 1736.85659375
transcript.pyannote[707].speaker SPEAKER_03
transcript.pyannote[707].start 1733.73471875
transcript.pyannote[707].end 1733.78534375
transcript.pyannote[708].speaker SPEAKER_06
transcript.pyannote[708].start 1733.78534375
transcript.pyannote[708].end 1733.80221875
transcript.pyannote[709].speaker SPEAKER_03
transcript.pyannote[709].start 1733.80221875
transcript.pyannote[709].end 1734.03846875
transcript.pyannote[710].speaker SPEAKER_06
transcript.pyannote[710].start 1734.03846875
transcript.pyannote[710].end 1736.89034375
transcript.pyannote[711].speaker SPEAKER_05
transcript.pyannote[711].start 1737.21096875
transcript.pyannote[711].end 1739.86034375
transcript.pyannote[712].speaker SPEAKER_05
transcript.pyannote[712].start 1739.96159375
transcript.pyannote[712].end 1742.72909375
transcript.pyannote[713].speaker SPEAKER_05
transcript.pyannote[713].start 1743.45471875
transcript.pyannote[713].end 1747.31909375
transcript.pyannote[714].speaker SPEAKER_05
transcript.pyannote[714].start 1747.47096875
transcript.pyannote[714].end 1749.12471875
transcript.pyannote[715].speaker SPEAKER_06
transcript.pyannote[715].start 1749.27659375
transcript.pyannote[715].end 1752.17909375
transcript.pyannote[716].speaker SPEAKER_05
transcript.pyannote[716].start 1752.17909375
transcript.pyannote[716].end 1755.33471875
transcript.pyannote[717].speaker SPEAKER_06
transcript.pyannote[717].start 1755.33471875
transcript.pyannote[717].end 1755.55409375
transcript.pyannote[718].speaker SPEAKER_05
transcript.pyannote[718].start 1756.12784375
transcript.pyannote[718].end 1759.97534375
transcript.pyannote[719].speaker SPEAKER_05
transcript.pyannote[719].start 1761.88221875
transcript.pyannote[719].end 1764.00846875
transcript.pyannote[720].speaker SPEAKER_05
transcript.pyannote[720].start 1764.51471875
transcript.pyannote[720].end 1766.01659375
transcript.pyannote[721].speaker SPEAKER_05
transcript.pyannote[721].start 1767.29909375
transcript.pyannote[721].end 1771.48409375
transcript.pyannote[722].speaker SPEAKER_05
transcript.pyannote[722].start 1772.19284375
transcript.pyannote[722].end 1772.69909375
transcript.pyannote[723].speaker SPEAKER_05
transcript.pyannote[723].start 1772.96909375
transcript.pyannote[723].end 1775.41596875
transcript.pyannote[724].speaker SPEAKER_05
transcript.pyannote[724].start 1776.58034375
transcript.pyannote[724].end 1777.79534375
transcript.pyannote[725].speaker SPEAKER_05
transcript.pyannote[725].start 1778.53784375
transcript.pyannote[725].end 1783.95471875
transcript.pyannote[726].speaker SPEAKER_05
transcript.pyannote[726].start 1784.42721875
transcript.pyannote[726].end 1785.79409375
transcript.pyannote[727].speaker SPEAKER_05
transcript.pyannote[727].start 1786.41846875
transcript.pyannote[727].end 1787.83596875
transcript.pyannote[728].speaker SPEAKER_05
transcript.pyannote[728].start 1788.44346875
transcript.pyannote[728].end 1791.29534375
transcript.pyannote[729].speaker SPEAKER_05
transcript.pyannote[729].start 1792.15596875
transcript.pyannote[729].end 1793.84346875
transcript.pyannote[730].speaker SPEAKER_05
transcript.pyannote[730].start 1794.21471875
transcript.pyannote[730].end 1796.37471875
transcript.pyannote[731].speaker SPEAKER_05
transcript.pyannote[731].start 1796.99909375
transcript.pyannote[731].end 1798.36596875
transcript.pyannote[732].speaker SPEAKER_05
transcript.pyannote[732].start 1799.83409375
transcript.pyannote[732].end 1808.64284375
transcript.pyannote[733].speaker SPEAKER_05
transcript.pyannote[733].start 1809.19971875
transcript.pyannote[733].end 1810.85346875
transcript.pyannote[734].speaker SPEAKER_05
transcript.pyannote[734].start 1811.20784375
transcript.pyannote[734].end 1814.80221875
transcript.pyannote[735].speaker SPEAKER_05
transcript.pyannote[735].start 1815.88221875
transcript.pyannote[735].end 1818.17721875
transcript.pyannote[736].speaker SPEAKER_01
transcript.pyannote[736].start 1818.17721875
transcript.pyannote[736].end 1827.35721875
transcript.pyannote[737].speaker SPEAKER_05
transcript.pyannote[737].start 1818.19409375
transcript.pyannote[737].end 1818.24471875
transcript.pyannote[738].speaker SPEAKER_05
transcript.pyannote[738].start 1822.80096875
transcript.pyannote[738].end 1823.66159375
transcript.pyannote[739].speaker SPEAKER_05
transcript.pyannote[739].start 1825.88909375
transcript.pyannote[739].end 1825.97346875
transcript.pyannote[740].speaker SPEAKER_05
transcript.pyannote[740].start 1826.12534375
transcript.pyannote[740].end 1826.20971875
transcript.pyannote[741].speaker SPEAKER_05
transcript.pyannote[741].start 1826.56409375
transcript.pyannote[741].end 1831.03596875
transcript.pyannote[742].speaker SPEAKER_05
transcript.pyannote[742].start 1843.81034375
transcript.pyannote[742].end 1846.08846875
transcript.pyannote[743].speaker SPEAKER_05
transcript.pyannote[743].start 1846.66221875
transcript.pyannote[743].end 1847.57346875
transcript.pyannote[744].speaker SPEAKER_05
transcript.pyannote[744].start 1847.94471875
transcript.pyannote[744].end 1849.85159375
transcript.pyannote[745].speaker SPEAKER_05
transcript.pyannote[745].start 1850.17221875
transcript.pyannote[745].end 1850.62784375
transcript.whisperx[0].start 13.282
transcript.whisperx[0].end 27.647
transcript.whisperx[0].text 謝謝主席陳院長還有各部會社長大家早安是不是請主席請陳院長備詢阿凡請陳院長備詢陳委員早恭喜委員當選連任院長早安最近這幾天發生驚嚇隨遇大陸漁民不幸歷難的事情
transcript.whisperx[1].start 41.263
transcript.whisperx[1].end 53.887
transcript.whisperx[1].text 陸海警闖金門禁限制水域,我們要加強取締,必要時與驅離。有沒有講這句話?我們確實在金門是有禁限水域,那在這個當有
transcript.whisperx[2].start 76.999
transcript.whisperx[2].end 96.206
transcript.whisperx[2].text 因為事情一發生我非常關切金門的事情延伸到馬祖所以我們馬祖海巡的部分我也跟海巡隊長講我們保持警戒追逐的事情先暫時避免因為今下的事情還沒處理好
transcript.whisperx[3].start 97.472
transcript.whisperx[3].end 122.447
transcript.whisperx[3].text 所以我們在兩馬鬧元宵的時候我們的縣長、議長也到彼岸去跟大陸領導我們在那邊氣氛都還不錯也就是金門馬祖我們關係還蠻好的雖然他們有三條海監船在我們離我們五海里的地方也在宣誓但是一切還蠻平和的那麼最近
transcript.whisperx[4].start 123.961
transcript.whisperx[4].end 149.328
transcript.whisperx[4].text 我們的海巡署周署長也做了一些動作也比較低調一點我是建議就是說在法律跟人道的部分能夠把它切割畢竟人死為大大陸的珊瑚船也就是我們簡稱的白船白船是沒有牌照的他來這邊有兩個目的一個是我們金門馬祖是島礁比較多啊漁產比較多來釣魚的
transcript.whisperx[5].start 152.495
transcript.whisperx[5].end 180.059
transcript.whisperx[5].text 一種是來割網的來竊盜的所以這個在海巡跟海警來講的話他們雙方在檯面下都有默契是共同打擊犯罪跟取締的目標但是海巡發生這件事情是漁船的魚尾勾到了底下據我的了解有可能是他的人掉到海裡去死亡也有可能是
transcript.whisperx[6].start 180.492
transcript.whisperx[6].end 205.513
transcript.whisperx[6].text 我們海巡在執法過程中,我們的人掉在海裡面去死亡。這一種悲劇才會有的。像去年的4月在一次執勤的時候,也是落海四位,其中有三位就是我們的船員。那好在那個時候總數是三艘船,所以全部都救得起來。所以海巡同仁在執法的時候知道自己也是在搏命,所以跟委員報告,
transcript.whisperx[7].start 207.094
transcript.whisperx[7].end 230.78
transcript.whisperx[7].text 絕對不可能說我們的船比他小的情況下,我們的同仁會想要去撞這艘船。這個絕對不會是。我也不會幫海軍講話,也不會幫大陸講話。我們案情就是請檢察官來懷疑。不是我們樂意建造的。今天我們希望把法律的部分跟人造的部分分為兩部分來處理。
transcript.whisperx[8].start 231.86
transcript.whisperx[8].end 256.94
transcript.whisperx[8].text 我們一直都是希望朝向人道撫慰的方式,朝向這裡一起來談判。但是整個談判的環境,我方是如此,但是對方我們也希望是如此。目前在今夏海域有白船在追逐我們海巡的事情,所以我們海巡在這個時候我們需要讓人賴,我們戒備。
transcript.whisperx[9].start 261.454
transcript.whisperx[9].end 278.733
transcript.whisperx[9].text 我們一直都從事件發生以後,我也特別指示,一定是冷靜理智來進行我們常態性的巡撫。是事實上目前……不要繼續挑釁了。沒有,我們從來沒有挑釁。周組長最近做的事情很好啊。
transcript.whisperx[10].start 279.133
transcript.whisperx[10].end 305.351
transcript.whisperx[10].text 我指派他去上香我特別指派他要到金門去然後請他上香他也接見了家屬他都做了事我們很希望在這個氣氛之下能夠有進展但是事實上有很多提出來希望我們去做的事情事實上真的是很難那我們很希望很希望趕快回到人道福威這件事情我想
transcript.whisperx[11].start 306.852
transcript.whisperx[11].end 335.471
transcript.whisperx[11].text 我在這邊再次提醒,我們跟大陸不要為了一點點小事情,反兩岸人民的感情造成一個犯罪。我了解,委員也幫了很多忙,縣政府跟縣議會也都幫了很多忙,我們都非常的感謝,我們很遺憾,我們很希望在人道府衛的部分,集中到人道的府衛的部分,朝向這裡我們好好的協商,然後來解決這件事情,我們有很大的誠意。
transcript.whisperx[12].start 336.071
transcript.whisperx[12].end 364.577
transcript.whisperx[12].text 盡快的把這件事情平復好不好?我們很努力我們很努力那我繼續我想請教這個院長是飛安很重要吧飛安飛行安全如果沒有的話我們寧可把機場關閉嘛對不對?是當然我們也不一定要飛喔不造成人命的話是不是?是85年4月5號我們馬祖發生空難國華航空飛機失事6個人死亡
transcript.whisperx[13].start 365.922
transcript.whisperx[13].end 391.41
transcript.whisperx[13].text 其中包含我們前任楊崔生現場也在飛機上他是逃命出去了甚至還救了一些人我們非常感佩民國86年8月10日國華航空又失事了16個人全數罹難其中包含了我弟弟我弟媳婦我子女我親家母5個人
transcript.whisperx[14].start 393.832
transcript.whisperx[14].end 423.048
transcript.whisperx[14].text 十六個人我們家佔了五分之一所以這種悲痛不是那種沒坐過飛機的人有些人沒坐過飛機有些人不敢坐飛機有些人懼高症不是那種那種那一些人那個痛苦能夠形容的我為什麼要去選立法委員我就是為了這件事情我不停的呼籲不停的呼籲我們的機場要改善這很重要
transcript.whisperx[15].start 423.851
transcript.whisperx[15].end 452.483
transcript.whisperx[15].text 好,110年5月10號我們有一架飛機因為南竿機場側風他的右輪打到頭端東山寶到頭端以後那麼降落機場爆胎所幸人員安全所以這一些都是全國最不安全的機場比較不安全的機場好了啦應該是馬祖倫南竿機場跟北竿機場
transcript.whisperx[16].start 454.591
transcript.whisperx[16].end 480.361
transcript.whisperx[16].text 院長您承認這件事嗎?我想南岸跟北岸機場確實是有可以均勁的地方。所以下去的時候看到側風會怕啊?是不是能夠安全降落?會不會歪掉?這是我們心中的痛嘛,是不是?所以牧市機場到目前為止因為氣候的因素、天候的因素南岸北岸的航班經常停飛
transcript.whisperx[17].start 482.054
transcript.whisperx[17].end 502.089
transcript.whisperx[17].text 十年來一共有三千六百二十五架次無法起降,天后的一柱,側風,風太大,霧太大,一陣霧飄來啊。利龍航空有三千五百九十三架次,華信航空有三十二架次,無法降落。所以北竿機場的擴建,我從85年
transcript.whisperx[18].start 506.054
transcript.whisperx[18].end 535.2
transcript.whisperx[18].text 當第三屆國大代表的時候就已經提出北竿機場改善因為那時候就是我弟弟啊那時候飛機失事嘛90年到98年時任縣長正好我當縣長我可以強力的推動北竿機場的改善方案103年雪生要求行政院要給馬祖一個安全的機場山西的機場到104年民航局
transcript.whisperx[19].start 536.021
transcript.whisperx[19].end 555.913
transcript.whisperx[19].text 提出來了馬祖北竿山西機場中建匯合方案。111年行政院合併原則支持這件事情。那麼112年7月通過環評的審查環境影響評估通過了。到現在113年2月15號最近國發會開了一個會找了我們縣長、鄉長開了一個會
transcript.whisperx[20].start 565.202
transcript.whisperx[20].end 587.705
transcript.whisperx[20].text 表示審查已經差不多了,要送到行政院去核定。去年的11月10月6號本席質詢院長的時候,院長怎麼回答我?我放一片影片給您看好不好?我訂了一家無口人命在北竿機場失事。
transcript.whisperx[21].start 589.246
transcript.whisperx[21].end 614.866
transcript.whisperx[21].text 所以北竿機場我請問你交通部、中華民國的政府,全台灣哪一座機場是這樣的機場?政府沒有責任把它做成安全的機場嗎?所以北竿機場第一優先要把它做成安全的機場,所以我們已經合了200億,將近200億我們已經合了,儘快把它完成,這個是我們最優先希望馬祖最先做的。然後北竿機場之外呢?
transcript.whisperx[22].start 618.772
transcript.whisperx[22].end 641.523
transcript.whisperx[22].text 院長您在10月6日回答我,回答核定那現在委員的投影片也講說現在國會這已經審議完我相信院長你還沒看過還沒有我請那個報告委員因為2月15號我們大概原則上有召開會議大概原則通過了
transcript.whisperx[23].start 642.603
transcript.whisperx[23].end 645.185
transcript.whisperx[23].text 請教防部再跟民航局討論一下
transcript.whisperx[24].start 662.319
transcript.whisperx[24].end 689.375
transcript.whisperx[24].text 他實施的工序也好或方法也好或夜間施工等等的一些情況,看能不能把那個時間再縮短。那我們大概就希望這個想好以後大概二月底就會報還給我們,我們就盡快的付給行政院,行政院就可以核定。郭副主委,你講得很好。您在開的會裡面,北開機站改建時程要多遠,我告訴你齁,第一期
transcript.whisperx[25].start 690.188
transcript.whisperx[25].end 705.9
transcript.whisperx[25].text 要11年9個月第一期第一期幹什麼呢用力取得這個設計要4年6個月那時候我這一任又卸任了我又看不到了
transcript.whisperx[26].start 707.674
transcript.whisperx[26].end 733.852
transcript.whisperx[26].text 第二個工期要7年3個月也就是說移動要11年9個月這是第一期的部分還有第二期第二期什麼新航站的工程需要蓋多久10年3個月一共加起來要多久要24年的2個月
transcript.whisperx[27].start 735.219
transcript.whisperx[27].end 750.683
transcript.whisperx[27].text 二十四年兩個月,院長先生你幾歲?我九十幾歲我還看得到嗎?這太過分了吧你們那麼多的各位首長在這邊蓋個馬祖機場要24年你們聽得下去嗎?
transcript.whisperx[28].start 757.279
transcript.whisperx[28].end 771.694
transcript.whisperx[28].text 所以委員剛才我們才公主委才說我們希望這個交通部這邊再來檢討一下這個工期建設的期間是不是能夠跟廠商一起來考慮怎麼樣來說短這個是有必要的
transcript.whisperx[29].start 774.276
transcript.whisperx[29].end 800.782
transcript.whisperx[29].text 報告委員因為第一期的部分那個部分只要機場的延長跟改善那個做好以後安全就沒有問題那第二期您剛才提到那個新的航站那個部分要配合你蓋50年100年關我什麼事啊沒有沒有就是第一期的部分那個工期7年多蓋完以後這個新的這個跑道就可以開始營運只是我們希望說那個7年3個月可不可以再縮短那你全世界機場有沒有蓋過20幾年了嘛哪一個機場是這樣蓋的
transcript.whisperx[30].start 802.462
transcript.whisperx[30].end 806.668
transcript.whisperx[30].text 現在這個有一個環環相扣的關係第一個南岸機場的遷移要到豐山第一個我要炸山
transcript.whisperx[31].start 819.52
transcript.whisperx[31].end 819.62
transcript.whisperx[31].text ﹚陳雪生
transcript.whisperx[32].start 835.043
transcript.whisperx[32].end 835.864
transcript.whisperx[32].text 你跟我講就好了啦。
transcript.whisperx[33].start 850.483
transcript.whisperx[33].end 855.029
transcript.whisperx[33].text 我跟委員報告我覺得用力取得還有設計的這個階段如果縣政府跟我們民進黨來溝通我想可以把4年6個月縮短
transcript.whisperx[34].start 866.101
transcript.whisperx[34].end 893.399
transcript.whisperx[34].text 那供期的部分就是說我們想辦法來縮短就是說因為現在剛才看到在北竿的飛機事實上不多所以他應該施工的空隙會比較多這部分我已經跟民航局討論過也就是說第一個11年9個月怎麼縮短我們現在已經有一些在討論討論了那第二個因為新航下船還有細射吧對對對就是用地取得跟細射這個時間跟縣政府討論如果可以縮短縮短
transcript.whisperx[35].start 897.302
transcript.whisperx[35].end 903.824
transcript.whisperx[35].text 合併的話就是他們剛才講二月底就做出來。那我三月初就來合併。
transcript.whisperx[36].start 908.018
transcript.whisperx[36].end 932.267
transcript.whisperx[36].text 回覆給我們以後我們就會回覆行政院對我們3月份就會來核定了但是問題就是說在這有錄音的喔你要注意喔是是是剛才就講過因為他們還在等這個這個施工民航局把相關的這個時程再做一個檢討我們的目的都是一樣就是希望把這個期程可以縮短我去討論剛才六年
transcript.whisperx[37].start 933.307
transcript.whisperx[37].end 948.011
transcript.whisperx[37].text 對啦,我也覺得太久了不過這個工程我們也要了解說這工程確實有它的困難度那所以我們盡可能的要專家來審查看看這樣的工期這天海啊,這20米啊,20米的水深
transcript.whisperx[38].start 950.752
transcript.whisperx[38].end 971.802
transcript.whisperx[38].text 你填海出去填350公尺嘛我跟委員報告的確沒樣子在顧這個時間第一個在離島一般的營造廠商不願意過去他一定要談到這個問題所以我想說我們來檢討今天先不要浪費這個時間好不好月長你答覆我兩個禮拜之內核定
transcript.whisperx[39].start 973.283
transcript.whisperx[39].end 1002.289
transcript.whisperx[39].text 三月份啊,對啊三月份,三月一號、三月三十號有30天我們收到這個你十月六號能跟我講合併的對啦,這樣就是國發會這個資料送上到行政院來我們會盡快合併這一種事情已經辦了七八年了,八九年了會啦,我們會盡快你要慢慢拖,不是盡快,兩個禮拜好不好我們盡快努力嘛可以完成嘛
transcript.whisperx[40].start 1003.427
transcript.whisperx[40].end 1031.016
transcript.whisperx[40].text 公主委,你那邊的手續都已經差不多啦,就報行政院秘書長嘛秘書長送他一個院長看一下就差不多了嘛對啦,我們就等待相關的意見,我們會來催促好不好好,這個機長沒問題啦齁第二個我請教一下這個南北竿大橋南北竿大橋從106年齁一直扯到現在,106年,多少年了?
transcript.whisperx[41].start 1033.138
transcript.whisperx[41].end 1060.203
transcript.whisperx[41].text 這個案子綜合規劃已經完成了,跟機場一樣,一直在那邊拖。你們國發會的講法是什麼?是說看南竿機場運量怎麼樣?公主委我告訴你,南竿機場是一個非常危險的機場。它的進場那個側風那個地方,它已經改善到極致了。不安全的機場你不用關閉嗎?不安全的機場你讓它繼續飛嗎?
transcript.whisperx[42].start 1061.823
transcript.whisperx[42].end 1089.639
transcript.whisperx[42].text 要等到出事了,縣長下臺,院長下臺,是不是這樣?向國人道歉,要搞到這樣的地步嗎?我不希望有這樣的事情發生。所以,你要坐南安高安機場的話,你這個大橋一定要坐嘛。你大橋不坐,你北安機場,你現在坐十幾年,我們那邊老闆已經快炸鍋了,蓋個機場要十幾年,我不蓋了,你可去吊飛機也沒關係。
transcript.whisperx[43].start 1090.936
transcript.whisperx[43].end 1118.73
transcript.whisperx[43].text 我要忍痛十幾年,我生意都不要做了嗎?不是震動企業,這長痛了欸。要十幾年欸。那你北竿機場做完以後咧?你北竿機場在做,北竿機場老闆一定要到南竿坐飛機。那北竿機場做完以後咧?那南竿機場要到北竿去坐飛機。那南竿機場怎麼辦?又來了,問題又來了。所以這個橋的問題一定要解決嘛。沒關係,你機場確定以後。
transcript.whisperx[44].start 1120.325
transcript.whisperx[44].end 1139.855
transcript.whisperx[44].text 我希望喬的問題我們來討論喬的事情喬一定要做我想你行政部門不做我們立法院來推我會逼著你們做你喬一定要做所以喬的細則也很簡單誰說要做什麼600億公主委誰講的600億
transcript.whisperx[45].start 1146.367
transcript.whisperx[45].end 1164.233
transcript.whisperx[45].text 發言委員,因為上一次院長指示說,尋找第三方比較客觀的來重新評估,包括技術上還有經費上。那我們現在已經也招標了,就是國外的英國的一個工程顧問公司,全世界大概排名第11名。這話是你們國發會傳出來要600億。蔡總統也是誤聽你們的600億。
transcript.whisperx[46].start 1169.955
transcript.whisperx[46].end 1195.636
transcript.whisperx[46].text 施西講288億啊,施西欸人家施西欸,一定比你專業吧。所以因為他那個,因為升到60公尺那個是我們沒有做過的,所以這個還要第三方的技術上的評估,所以我們已經有這樣的評估了。施西這個單位就不要了嘛,要這個單位幹什麼?還有技術系施西也說可行啊,他說可行啊。
transcript.whisperx[47].start 1196.172
transcript.whisperx[47].end 1223.986
transcript.whisperx[47].text 沒有說不可行啊,是你們在那邊講不可行啊,我很奇怪咧。你們找世紀開了會了嗎?也沒有啊。這個事情我們到交通委員會再討論。還有,高雄航線,高雄航線我在選舉期間啊,民進黨黨部主委一直講說,高雄航線他去連署啊,連署7000個人,連署8萬人也沒用啊。
transcript.whisperx[48].start 1224.585
transcript.whisperx[48].end 1233.418
transcript.whisperx[48].text 航空公司飛不飛很重要啊。例如航空不飛,國華、國慶、華航你叫他飛嘛,不打。
transcript.whisperx[49].start 1234.625
transcript.whisperx[49].end 1263.696
transcript.whisperx[49].text 你能不能找民航局我上次已經講過了民航局召集嘛用包機的方式用其他的方式去處理嘛你可以處理嗎現在就是用這個方向就是說馬祖高雄的航線在94年斷掉那當時就是運量不足運量怎麼不足呢我負責嘛當時當時的那個當時那現在可以啦然後現在民航局事實上除了立龍以外也找了像華系我們除了老百姓除了觀光客阿兵哥的占比在南部是
transcript.whisperx[50].start 1266.641
transcript.whisperx[50].end 1281.101
transcript.whisperx[50].text 欸50%欸還不止欸阿兵哥也是回家的路啊講了老半天你們也聽不下去我叫了老半天我們跟航空公司做過討論啦齁他們是完全沒有意願是民進黨民進黨黨部方向搞錯了嘛現在先用包機先用包機
transcript.whisperx[51].start 1282.406
transcript.whisperx[51].end 1310.911
transcript.whisperx[51].text 你們能不能找一下嗎?好不好?包機的方式我想跟縣政府這邊,聯鄉縣政府來討論一下怎麼樣做一些這個獎勵的措施來做,這個可能比較可行。等包機有印量以後在這邊恢復定期航線。我要問一下我們院長,院長對部立院的手法,醫療系統。在選舉期間,我們的聯鄉縣黨部主委,你問先生,我很謝謝他。
transcript.whisperx[52].start 1312.162
transcript.whisperx[52].end 1339.378
transcript.whisperx[52].text 他都為了王必勝次長,同意馬祖改為部立院,您看法如何?部立院只是換個招牌,現立兩個字改為部立就好了嗎?不是這樣齁?人員組織編制醫藥病房,是不是?什麼神經外科、神經內科,這些都要準備了勒?
transcript.whisperx[53].start 1340.034
transcript.whisperx[53].end 1369.122
transcript.whisperx[53].text 人員要增加欸部長你回答我好了那有關於部立醫院就是說有沒有答應?市長有沒有答應?目前的話是沒有啦沒有?沒有就騙人囉沒有,那個因為縣政府那邊是不是很贊成主要是地方我們縣政府的兩個院長也是兩個縣長啊是院長的學生啊,劉振英啊對,振英
transcript.whisperx[54].start 1369.704
transcript.whisperx[54].end 1387.138
transcript.whisperx[54].text 他們覺得我們地方很小嘛,是不是?金門跟澎湖實施的不是很順暢。馬魯這個地方行之有年啊,非常的好。不錯啊。李渭先生跑去講說民進黨王必勝次長答應改為部立院,有沒有這回事?
transcript.whisperx[55].start 1388.458
transcript.whisperx[55].end 1401.546
transcript.whisperx[55].text 並沒有直接說所謂的答應改為不立,而是說這一個部分的話必須還要再研議。雖然我們在1月的時候,那部裡面有派人過去縣政府跟縣長談過這個事情。沒有談過,縣長有談過會跟我講。
transcript.whisperx[56].start 1407.511
transcript.whisperx[56].end 1432.832
transcript.whisperx[56].text 我們會長如果有談過,一定會告訴我。一月十七那有去拜訪那個...黃碧珍部長嗎?應該是我...我要問的是王市長,王市長有沒有答應?這沒有...沒關係,我一個問完就問。今天顧問來我,我一定查個血絡指數。好,請你回去。我要問我們國防部部長,邱部長。還有一點時間。會長是
transcript.whisperx[57].start 1437.284
transcript.whisperx[57].end 1462.236
transcript.whisperx[57].text 他的靶場設在我們的行政中心啊長照已經蓋好了醫院蓋好了國中蓋好了國小蓋好了在中間打靶槍打來打去院長你聽得進去嗎所以這個事情我有問過邱部長邱部長的問題在哪裡你知道嗎待拆待建我說清朝的靶場現在是民國啦現代化啦
transcript.whisperx[58].start 1466.803
transcript.whisperx[58].end 1492.41
transcript.whisperx[58].text 那個是那個地推土地推一推有沒有弄個靶子啊就從那啪打過去是這樣打法的不是像現在現在那個警察你看在室內都可以打打了以後那個靶子自動彈回來看看有沒有打中靶心有沒有打中部長是不是這樣你國防部沒錢你也講嘛行政院主席長也在吧你另外能不能撥點錢啊
transcript.whisperx[59].start 1494.418
transcript.whisperx[59].end 1521.058
transcript.whisperx[59].text 國防部預算很緊湊我知道啊他們裡面那個馬路啊我當縣長還是我幫他們鋪的我鋪了很多條啦國防部哪有錢鋪馬路咧沒有錢鋪嘛所以他這個靶場說代遷代鑒我們縣政府窮的你也知道一個是澎湖一個是馬祖金門有個酒廠在那個地方你說靶場搬就搬有什麼困難啊
transcript.whisperx[60].start 1522.025
transcript.whisperx[60].end 1530.98
transcript.whisperx[60].text 他那個酒多賣兩瓶就有了馬祖沒有啊你知道只有扣我們公務人員薪水拿去做保藏啊所以邱部長說沒辦法後來答應我說兩年
transcript.whisperx[61].start 1535.081
transcript.whisperx[61].end 1558.727
transcript.whisperx[61].text 兩年到現在你們沒動靜欸,我們憲法幫你都預定好了沒有?報告委員我跟您說明好不好,我知道委員幾個會期當中提到拔草的問題,事實上我們也很積極,我們也編組到三個點去看,我想現在政府也很清楚,有封山、有板山、還有個大臥。這幾個地方經過評估以後啊,我們選那個點裡面有些困難,我們好像3月5號還要再開會嘛。
transcript.whisperx[62].start 1559.727
transcript.whisperx[62].end 1581.892
transcript.whisperx[62].text 我跟我們同仁交代,我們針對問題不要讓人家覺得我們在拖,沒有在拖,一直在積極運作。但剛才委員已經點出幾個問題來,我覺得這個在後面都可以談,都可以談。那幾個點選擇了以後,有些問題可能要麻煩縣政府要先處理完,才能夠走下一步。都處理了,甚至像你們現在,你們要代菜代鍵。
transcript.whisperx[63].start 1582.677
transcript.whisperx[63].end 1600.885
transcript.whisperx[63].text 就四個字而已。帶線也是問題之一啦。我們要處理好啊。軍方也知道在什麼地方啦。軍方也不敢講話。大隊怎麼敢講話呢?一定不會不敢講話。不是不敢講話,因為有一些問題。那你們現在在帶拆、再見四個字。帶拆、再見這個問題又困在哪裡啦?邱部長。
transcript.whisperx[64].start 1601.912
transcript.whisperx[64].end 1623.182
transcript.whisperx[64].text 我們兩個感情不錯吧?國防部跟憲政府感情也不錯嗎?也很好,對。距離一家嘛。我也注意到啦,你看你到馬祖區,我也沒送你什麼酒,你還送我水果。這種善意我們的感情在心嘛,是不是?我們對部隊也是很照顧的。的確我知道,這個委員對部隊真的很照顧。在那邊的阿明哥確實很辛苦。所以拜託部長,
transcript.whisperx[65].start 1630.714
transcript.whisperx[65].end 1640.776
transcript.whisperx[65].text 你這個事情注意一下,不要為了這個事情影響到軍民的感情嘛,是不是?長照在那裡,學校在那裡,你每天那個子彈砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰砰�
transcript.whisperx[66].start 1659.502
transcript.whisperx[66].end 1688.199
transcript.whisperx[66].text 沒有事關我縣政府什麼事啊因為你們那個富時供應中心跟臺灣的肉商有簽約嘛你的肉一定要跟他買嘛我們馬祖地區的肉你不能買啊那問題又出來了你們有跟那個航商啊開船的啊公司有簽約嘛他船正好壞掉了所以肉也沒辦法送啊船也沒辦法開所以沒肉吃一扯扯到縣政府
transcript.whisperx[67].start 1689.044
transcript.whisperx[67].end 1695.465
transcript.whisperx[67].text 說你們那個馬祖立法委員混蛋阿兵哥沒飯吃沒肉吃跟我們什麼關係啊
transcript.whisperx[68].start 1700.399
transcript.whisperx[68].end 1723.829
transcript.whisperx[68].text 我們也在強化,怎麼樣強化?一個他原本的儲存量我們把他給增加天數。搞得陸軍司令還要去道歉。第二個就是我們現在這個復共站雖然沒有,但他的採購在外離島採購一切有,他部隊長自己做主就可以,我們沒有很大的限制。現在兵力也少了嘛,你跟民間去買就好了嘛。
transcript.whisperx[69].start 1724.789
transcript.whisperx[69].end 1746.858
transcript.whisperx[69].text 讓他們吃一點生鮮的活豬肉好不好?不要吃青草那種冰得硬梆梆的冰得急,都冰了好幾年那肉欸!那個魚都已經變成化石了化石用油炸一炸放點辣椒,這些阿兵哥也是我們的子弟嘛好不好?有機會我請你吃一下青草的化石的帶魚給你吃好不好?
transcript.whisperx[70].start 1747.894
transcript.whisperx[70].end 1774.503
transcript.whisperx[70].text 你吃吃看你就知道了。我吃過,我在馬祖服務過,我知道。部長你注意一下好不好?是。好,還最近一次,部長跟主席黨請回,我們教育部。教育部勒,最近發生什麼事啊?崔世功有沒有啦?五個變成兩個,兩個變成勒?兩個人力沒辦法炒菜啊。好啦,我們馬祖四鄉五島離島啊。
transcript.whisperx[71].start 1776.616
transcript.whisperx[71].end 1806.234
transcript.whisperx[71].text 小孩子沒飯吃了沒飯吃以後外面叫賣的什麼攤販賣香腸打香腸一堆就在校門口這一下生意搞好了學生家長就反彈不過那天在現場部長也跟我抱歉了部長馬上把這問題解決了63萬給了200多萬部長以後這個事情怎麼發現的又是民進黨的連江縣黨部又在罵我了說你這個立委怎麼搞的怎麼搞的
transcript.whisperx[72].start 1806.761
transcript.whisperx[72].end 1830.267
transcript.whisperx[72].text 現在政府跟我什麼關係啊?這是你民進黨的單位啊?你的教育部啊?你的國立高中啊?關我們什麼事啊?部長你有注意一下好不好?學校的事情。這個我要謝謝委員,因為委員在217號當地了解這個情形,也召開那個很快的會議。還有船舶,船舶1.8公尺改為2公尺好不好?你注意一下。
transcript.whisperx[73].start 1844.781
transcript.whisperx[73].end 1848.165
transcript.whisperx[73].text 謝謝陳委員雪生的質詢。接下來我們請張委員齊凱質詢。