iVOD / 153366

Field Value
IVOD_ID 153366
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/153366
日期 2024-05-30
會議資料.會議代碼 委員會-11-1-35-23
會議資料.會議代碼:str 第11屆第1會期外交及國防委員會第23次全體委員會議
會議資料.屆 11
會議資料.會期 1
會議資料.會次 23
會議資料.種類 委員會
會議資料.委員會代碼[0] 35
會議資料.委員會代碼:str[0] 外交及國防委員會
會議資料.標題 第11屆第1會期外交及國防委員會第23次全體委員會議
影片種類 Clip
開始時間 2024-05-30T11:16:57+08:00
結束時間 2024-05-30T11:26:13+08:00
影片長度 00:09:16
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/bbbc431469b8aeba394692606851d82b8c05f44c04a464db446d6a815e91374449fd245485fe178c5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 賴士葆
委員發言時間 11:16:57 - 11:26:13
會議時間 2024-05-30T09:00:00+08:00
會議名稱 立法院第11屆第1會期外交及國防委員會第23次全體委員會議(事由:邀請外交部部長林佳龍報告業務概況,並備質詢。)
gazette.lineno 422
gazette.blocks[0][0] 賴委員士葆:(11時16分)主席及各位委員,有請林部長。
gazette.blocks[1][0] 主席:謝謝部長。
gazette.blocks[2][0] 賴委員士葆:你是接了新職宣誓就任後第一次來嗎?
gazette.blocks[3][0] 林部長佳龍:對,第一次。
gazette.blocks[4][0] 賴委員士葆:你來這裡的人緣是不錯啦,林佳龍不管是在外面黨外或是在野黨的,對你不會討厭。
gazette.blocks[5][0] 林部長佳龍:謝謝。
gazette.blocks[6][0] 賴委員士葆:但我們希望你講真話,因為我知道你喜歡講真話,而且你也勇於擔當,出事情的時候,交通部長你就不做了。我就問一個問題,很多報導說這個位子不是你的首選,你點頭嗎?
gazette.blocks[7][0] 林部長佳龍:是……
gazette.blocks[8][0] 賴委員士葆:不是首選喔?
gazette.blocks[9][0] 林部長佳龍:我聽得懂你講的。
gazette.blocks[10][0] 賴委員士葆:不是首選嘛!
gazette.blocks[11][0] 林部長佳龍:如果有更適合的人才的話,我們當然可以……
gazette.blocks[12][0] 賴委員士葆:話又要倒過來講,你比較想要的那個位子被人家占走了,所以只好無奈加減有就好了,這樣說對嗎?
gazette.blocks[13][0] 林部長佳龍:不對!
gazette.blocks[14][0] 賴委員士葆:你剛才說的就是這樣,不是你的首選!不是你的首選!
gazette.blocks[15][0] 林部長佳龍:有人要擔比較重的擔子,我們應該給他加油。
gazette.blocks[16][0] 賴委員士葆:對嘛!你就講出弦外之音了!你原來想去現在卓榮泰的位子,卓榮泰什麼位子?行政院長,對不對?我也覺得你來做比較適合,你的經歷比他多很多,卓榮泰當院長,你沒有當院長,我替你抱不平!你有沒有感覺我跟你很知音,我講出你心裡的話?
gazette.blocks[17][0] 林部長佳龍:其實外交工作很重要。
gazette.blocks[18][0] 賴委員士葆:沒有,行政院長更重要啦!這樣對嗎?
gazette.blocks[19][0] 林部長佳龍:總統和院長認為我來這裡可以為國家貢獻。
gazette.blocks[20][0] 賴委員士葆:你不會覺得你來這裡很委屈?
gazette.blocks[21][0] 林部長佳龍:不會。
gazette.blocks[22][0] 賴委員士葆:卓榮泰當院長,他變成你的長官,好奇怪!他沒有首長的經歷,你都有;他做過立委,你也做過立委,來比一比,我們的英文是留洋的,你都很清楚,我們說Track record,你過去的經歷這麼漂亮,做過臺中市長、部會首長、立委,而且你的關係這麼好。
gazette.blocks[23][0] 林部長佳龍:外交對臺灣最重要了,臺灣現在是外交最重要。
gazette.blocks[24][0] 賴委員士葆:外交很辛苦,來這裡做沒成績,來這裡做沒成績!
gazette.blocks[25][0] 林部長佳龍:有委員的支持,我一定會更有成績。
gazette.blocks[26][0] 賴委員士葆:外交什麼成績?你現在能不能講,第一個,以後你的部長任內,絕對不會有一國再斷交,你敢這樣說嗎?
gazette.blocks[27][0] 林部長佳龍:我們全力以赴顧好邦交,而且要繁榮我們的邦交國,讓它……
gazette.blocks[28][0] 賴委員士葆:一年內如果再斷一個……
gazette.blocks[29][0] 林部長佳龍:讓它跟我們的關係更緊密。
gazette.blocks[30][0] 賴委員士葆:你把官位拿出來、烏紗帽拿出來,林佳龍現在說成這樣多有使命感,可以!有氣魄一點,拍胸脯保證,一年內如果斷交一國就下台,你敢不敢這樣講?敢嗎?
gazette.blocks[31][0] 林部長佳龍:我們要比較正向來思考我們的外交工作。
gazette.blocks[32][0] 賴委員士葆:正向啊!外交部長沒有外交國,什麼叫外交?你認同臺灣如果邦交國變零也沒關係,你認同嗎?
gazette.blocks[33][0] 林部長佳龍:我是全力以赴一定要……
gazette.blocks[34][0] 賴委員士葆:你認不認同?
gazette.blocks[35][0] 林部長佳龍:不只固邦,而且要榮邦。
gazette.blocks[36][0] 賴委員士葆:什麼叫榮邦?
gazette.blocks[37][0] 林部長佳龍:就是繁榮跟我們有交往的國家,特別是我們的邦交國。
gazette.blocks[38][0] 賴委員士葆:今天沒有聽到林佳龍……
gazette.blocks[39][0] 林部長佳龍:不只是固邦,真的要針對它的國家發展,我們臺灣can help好好地去做。
gazette.blocks[40][0] 賴委員士葆:我前面誇獎你是因為我是臺中人,你當過臺中市長,所以我給你加1分,你知道嗎?結果你的氣魄都沒有拿出來,氣魄、氣魄,不是榮邦,加邦才對啊!加一個邦交國,敢嗎?
gazette.blocks[41][0] 林部長佳龍:我們一起來努力。
gazette.blocks[42][0] 賴委員士葆:有沒有機會?也不敢?
gazette.blocks[43][0] 林部長佳龍:有啦!現在世界上有很多國家都知道,其實像宏都拉斯,大家都知道……
gazette.blocks[44][0] 賴委員士葆:它跟我們斷交了。
gazette.blocks[45][0] 林部長佳龍:現在它的白蝦就賣不出去,所以我們不是……
gazette.blocks[46][0] 賴委員士葆:所以你現在要叫它再賣到臺灣,我們和它再建交?
gazette.blocks[47][0] 林部長佳龍:大家要歡喜甘願交往才會長久,我們要同理心去替這些國家想,我們怎麼發展……
gazette.blocks[48][0] 賴委員士葆:枉費我前面這樣誇獎你,可是你後面都……敢不敢承諾斷交就要下台,你也不敢承諾,你這樣變成吳釗燮第二了,斷交5、6、7、8個都沒有關係,又不下台!請問你……
gazette.blocks[49][0] 林部長佳龍:我們是用做的,不是用說的啦,臺灣的外交真的很艱辛。
gazette.blocks[50][0] 賴委員士葆:外交做好才不會被斷交,老共的打壓不是只有今天。我問你現在最危險的邦交國,大家都講教廷很危險,守得住嗎?
gazette.blocks[51][0] 林部長佳龍:梵蒂岡。
gazette.blocks[52][0] 賴委員士葆:梵蒂岡守得住嗎?
gazette.blocks[53][0] 林部長佳龍:它很危險?沒有,它沒有很危險啊!
gazette.blocks[54][0] 賴委員士葆:沒有很危險?人家說得很危險。
gazette.blocks[55][0] 林部長佳龍:怎麼會危險?我們好好的跟它發展關係,臺灣的天主教徒也很多,它也是一個很注重價值的教廷。
gazette.blocks[56][0] 賴委員士葆:其實它一直要跟中國大陸建交,主要是因為中國大陸那邊的主教可以自己派,這一點解決就解決了,最近他們的關係就close了,又更緊密,你不會擔心?
gazette.blocks[57][0] 林部長佳龍:當然我們要密切關注,不只是關心。
gazette.blocks[58][0] 賴委員士葆:如果是紅、黃、綠,它應該屬於什麼燈?
gazette.blocks[59][0] 林部長佳龍:我認為只要我們努力……
gazette.blocks[60][0] 賴委員士葆:你告訴我,它是什麼燈?
gazette.blocks[61][0] 林部長佳龍:大家都會覺得跟臺灣交往真的是彼此互惠。
gazette.blocks[62][0] 賴委員士葆:我前面誇獎你就是希望你講真話,你都不敢講真話,不能這樣喔!最後,另外問你一個很重要的消息,你要認真講、說實話,川普說:老共只要打臺灣,他要轟炸北京,這句話你聽了怎麼樣?你的感覺呢?
gazette.blocks[63][0] 林部長佳龍:選舉期間就像臺灣一樣,我們候選人也是……
gazette.blocks[64][0] 賴委員士葆:選舉語言?選舉語言聽聽就好?
gazette.blocks[65][0] 林部長佳龍:這個是他們在選舉時候訴諸他們選民的支持,我們就不介入,基本上最終還是要觀察長期的臺美關係發展。
gazette.blocks[66][0] 賴委員士葆:他現在跟拜登兩人在飆車、打臺灣牌飆車,拜登說只要打,要出兵保衛臺灣,川普覺得這樣不夠,他要加碼,你打臺灣,我就轟炸北京,嚇嚇叫!所以你的感覺都是選舉語言?
gazette.blocks[67][0] 林部長佳龍:他們要保衛臺灣,這一點我們要感謝。
gazette.blocks[68][0] 賴委員士葆:保衛臺灣當然要感謝啊!所以呢?
gazette.blocks[69][0] 林部長佳龍:因為臺海的和平與穩定涉及到全世界的利害關係。
gazette.blocks[70][0] 賴委員士葆:他打北京那是他們的事情,但問題臺灣就被打了,它用這個來刺激臺灣說要打臺灣,不要忘了戰場是在臺灣,臺灣怎麼打都是輸家,這個你同意嗎?
gazette.blocks[71][0] 林部長佳龍:我們臺灣是一個跟理念相近國家,基本上讓大家覺得我們不是在改變現狀,是對岸在改變現狀,因此世界都要一起來面對這個問題。
gazette.blocks[72][0] 賴委員士葆:你說這些話就像泥鰍一樣都抓不到,都沒有回答到。好啦!最後一個,你總是要讓我得到我要的答案,我就下去,好不好?你感覺川普講這個話是選舉語言嗎?
gazette.blocks[73][0] 林部長佳龍:我覺得也不能這樣子就替他來斷言,我們還是要持續關注這個發展。
gazette.blocks[74][0] 賴委員士葆:拜登說要出兵保衛臺灣,因為從阿富汗、越南之後,從來沒有在海外出兵,烏克蘭都沒有,他會出兵臺灣嗎?這個看起來就是選舉語言嘛,對不對?你給我一個答案,你聽到是more than happy、happy還是no comment?
gazette.blocks[75][0] 林部長佳龍:他們現在就是認為比較像是中共在改變現狀,他們希望跟臺灣一樣能夠維護現狀,在這一點上面我們是立場一致,至於大國之間不管是涉及到動不動兵的問題,尤其在選舉期間,臺灣會密切關注,但我們也不去介入他們內政的部分,但是值得關注喔!
gazette.blocks[76][0] 賴委員士葆:你沒有回答問題,是more than happy嗎?
gazette.blocks[77][0] 林部長佳龍:不會。
gazette.blocks[78][0] 賴委員士葆:沒有?不happy嗎?
gazette.blocks[79][0] 林部長佳龍:不會啦!
gazette.blocks[80][0] 賴委員士葆:所以你是不happy聽到這個消息……
gazette.blocks[81][0] 林部長佳龍:但是大家要保護臺灣,或確保臺海的和平和穩定,我們是支持的。
gazette.blocks[82][0] 主席:好,謝謝。
gazette.blocks[83][0] 賴委員士葆:本席再說一句話啦!任何國家幫助臺灣,我們舉雙手雙腳贊成,但是如果對我們過度好,像美國議員說的,到時候戰場變成臺灣,這對我們來說是不好的。
gazette.blocks[84][0] 主席:好,謝謝。
gazette.blocks[84][1] 接下來請黃國昌委員上台質詢。
gazette.agenda.page_end 202
gazette.agenda.meet_id 委員會-11-1-35-23
gazette.agenda.speakers[0] 馬文君
gazette.agenda.speakers[1] 沈伯洋
gazette.agenda.speakers[2] 羅美玲
gazette.agenda.speakers[3] 黃仁
gazette.agenda.speakers[4] 陳永康
gazette.agenda.speakers[5] 林楚茵
gazette.agenda.speakers[6] 王定宇
gazette.agenda.speakers[7] 徐巧芯
gazette.agenda.speakers[8] 陳冠廷
gazette.agenda.speakers[9] 王鴻薇
gazette.agenda.speakers[10] 麥玉珍
gazette.agenda.speakers[11] 賴士葆
gazette.agenda.speakers[12] 黃國昌
gazette.agenda.speakers[13] 洪申翰
gazette.agenda.speakers[14] 林德福
gazette.agenda.speakers[15] 邱志偉
gazette.agenda.speakers[16] 羅智強
gazette.agenda.speakers[17] 洪孟楷
gazette.agenda.speakers[18] 楊瓊瓔
gazette.agenda.speakers[19] 伍麗華Saidhai‧Tahovecahe
gazette.agenda.speakers[20] 林憶君
gazette.agenda.page_start 149
gazette.agenda.meetingDate[0] 2024-05-30
gazette.agenda.gazette_id 1135301
gazette.agenda.agenda_lcidc_ids[0] 1135301_00005
gazette.agenda.meet_name 立法院第11屆第1會期外交及國防委員會第23次全體委員會議紀錄
gazette.agenda.content 邀請外交部部長林佳龍報告業務概況,並備質詢
gazette.agenda.agenda_id 1135301_00004
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.28409375
transcript.pyannote[0].end 3.81096875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 4.60409375
transcript.pyannote[1].end 5.29596875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 4.72221875
transcript.pyannote[2].end 5.17784375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 6.19034375
transcript.pyannote[3].end 6.39284375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 7.55721875
transcript.pyannote[4].end 11.74221875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 11.99534375
transcript.pyannote[5].end 13.10909375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 13.10909375
transcript.pyannote[6].end 15.75846875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 16.51784375
transcript.pyannote[7].end 19.36971875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 19.89284375
transcript.pyannote[8].end 21.10784375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 22.05284375
transcript.pyannote[9].end 22.94721875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 23.09909375
transcript.pyannote[10].end 25.76534375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 23.36909375
transcript.pyannote[11].end 23.53784375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 25.86659375
transcript.pyannote[12].end 29.49471875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 28.58346875
transcript.pyannote[13].end 28.63409375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 30.15284375
transcript.pyannote[14].end 31.60409375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 31.63784375
transcript.pyannote[15].end 33.96659375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 34.45596875
transcript.pyannote[16].end 35.19846875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 35.73846875
transcript.pyannote[17].end 36.07596875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 36.19409375
transcript.pyannote[18].end 37.02096875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 37.94909375
transcript.pyannote[19].end 38.55659375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 39.06284375
transcript.pyannote[20].end 40.26096875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 40.81784375
transcript.pyannote[21].end 42.72471875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 45.13784375
transcript.pyannote[22].end 45.96471875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 46.16721875
transcript.pyannote[23].end 46.43721875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 47.04471875
transcript.pyannote[24].end 47.85471875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 48.39471875
transcript.pyannote[25].end 48.96846875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 48.96846875
transcript.pyannote[26].end 49.42409375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 49.42409375
transcript.pyannote[27].end 49.52534375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 50.14971875
transcript.pyannote[28].end 57.18659375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 56.88284375
transcript.pyannote[29].end 59.14409375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 59.80221875
transcript.pyannote[30].end 62.53596875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 62.63721875
transcript.pyannote[31].end 64.91534375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 64.94909375
transcript.pyannote[32].end 66.09659375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 66.45096875
transcript.pyannote[33].end 66.85596875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 67.12596875
transcript.pyannote[34].end 67.37909375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 67.95284375
transcript.pyannote[35].end 70.41659375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 69.03284375
transcript.pyannote[36].end 70.51784375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 70.77096875
transcript.pyannote[37].end 76.39034375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 75.29346875
transcript.pyannote[38].end 81.50346875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 76.81221875
transcript.pyannote[39].end 77.85846875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 77.95971875
transcript.pyannote[40].end 77.97659375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 82.76909375
transcript.pyannote[41].end 84.94596875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 85.73909375
transcript.pyannote[42].end 86.19471875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 86.24534375
transcript.pyannote[43].end 88.16909375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 89.33346875
transcript.pyannote[44].end 91.20659375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 91.86471875
transcript.pyannote[45].end 94.63221875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 96.62346875
transcript.pyannote[46].end 97.75409375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 97.95659375
transcript.pyannote[47].end 98.17596875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 98.17596875
transcript.pyannote[48].end 98.19284375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 98.34471875
transcript.pyannote[49].end 99.22221875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 99.22221875
transcript.pyannote[50].end 99.23909375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 100.01534375
transcript.pyannote[51].end 100.06596875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 100.06596875
transcript.pyannote[52].end 100.28534375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 100.75784375
transcript.pyannote[53].end 100.80846875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 100.80846875
transcript.pyannote[54].end 100.82534375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 100.82534375
transcript.pyannote[55].end 102.24284375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 103.12034375
transcript.pyannote[56].end 104.57159375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 105.01034375
transcript.pyannote[57].end 105.04409375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 105.04409375
transcript.pyannote[58].end 106.63034375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 106.63034375
transcript.pyannote[59].end 107.05221875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 106.64721875
transcript.pyannote[60].end 108.21659375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 108.77346875
transcript.pyannote[61].end 111.10221875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 111.70971875
transcript.pyannote[62].end 113.88659375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 114.10596875
transcript.pyannote[63].end 115.81034375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 116.43471875
transcript.pyannote[64].end 116.78909375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 117.17721875
transcript.pyannote[65].end 117.56534375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 117.56534375
transcript.pyannote[66].end 118.03784375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 118.03784375
transcript.pyannote[67].end 120.80534375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 121.12596875
transcript.pyannote[68].end 125.29409375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 125.91846875
transcript.pyannote[69].end 126.00284375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 126.10409375
transcript.pyannote[70].end 128.17971875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 128.66909375
transcript.pyannote[71].end 129.42846875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 129.73221875
transcript.pyannote[72].end 133.30971875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 133.74846875
transcript.pyannote[73].end 134.86221875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 135.68909375
transcript.pyannote[74].end 136.07721875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 136.90409375
transcript.pyannote[75].end 138.25409375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 138.67596875
transcript.pyannote[76].end 140.58284375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 140.80221875
transcript.pyannote[77].end 141.74721875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 142.89471875
transcript.pyannote[78].end 143.45159375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 143.28284375
transcript.pyannote[79].end 144.73409375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 144.73409375
transcript.pyannote[80].end 144.80159375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 144.80159375
transcript.pyannote[81].end 144.97034375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 144.97034375
transcript.pyannote[82].end 145.35846875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 145.35846875
transcript.pyannote[83].end 145.37534375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 145.37534375
transcript.pyannote[84].end 145.45971875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 145.45971875
transcript.pyannote[85].end 145.47659375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 145.47659375
transcript.pyannote[86].end 145.54409375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 145.54409375
transcript.pyannote[87].end 145.93221875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 145.93221875
transcript.pyannote[88].end 148.05846875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 146.18534375
transcript.pyannote[89].end 146.72534375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 148.14284375
transcript.pyannote[90].end 149.49284375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 150.33659375
transcript.pyannote[91].end 151.50096875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 151.97346875
transcript.pyannote[92].end 152.24346875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 152.61471875
transcript.pyannote[93].end 157.03596875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 152.78346875
transcript.pyannote[94].end 154.31909375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 157.03596875
transcript.pyannote[95].end 157.52534375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 158.25096875
transcript.pyannote[96].end 159.95534375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 160.47846875
transcript.pyannote[97].end 162.31784375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 162.46971875
transcript.pyannote[98].end 164.96721875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 164.96721875
transcript.pyannote[99].end 165.74346875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 166.45221875
transcript.pyannote[100].end 170.70471875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 171.04221875
transcript.pyannote[101].end 171.93659375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 171.27846875
transcript.pyannote[102].end 171.61596875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 171.93659375
transcript.pyannote[103].end 171.97034375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 171.97034375
transcript.pyannote[104].end 172.03784375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 172.03784375
transcript.pyannote[105].end 172.47659375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 172.47659375
transcript.pyannote[106].end 175.10909375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 172.59471875
transcript.pyannote[107].end 173.53971875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 173.97846875
transcript.pyannote[108].end 176.99909375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 177.79221875
transcript.pyannote[109].end 181.35284375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 182.31471875
transcript.pyannote[110].end 183.19221875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 183.98534375
transcript.pyannote[111].end 184.89659375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 185.72346875
transcript.pyannote[112].end 187.56284375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 188.05221875
transcript.pyannote[113].end 188.87909375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 190.06034375
transcript.pyannote[114].end 190.66784375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 192.22034375
transcript.pyannote[115].end 192.55784375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 192.65909375
transcript.pyannote[116].end 193.51971875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 193.92471875
transcript.pyannote[117].end 194.78534375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 194.92034375
transcript.pyannote[118].end 199.67909375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 196.48971875
transcript.pyannote[119].end 200.35409375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 200.35409375
transcript.pyannote[120].end 200.53971875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 201.90659375
transcript.pyannote[121].end 204.23534375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 204.48846875
transcript.pyannote[122].end 206.31096875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 207.57659375
transcript.pyannote[123].end 210.93471875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 208.84221875
transcript.pyannote[124].end 209.23034375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 211.01909375
transcript.pyannote[125].end 211.05284375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 211.06971875
transcript.pyannote[126].end 213.33096875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 214.12409375
transcript.pyannote[127].end 214.93409375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 215.30534375
transcript.pyannote[128].end 223.94534375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 220.92471875
transcript.pyannote[129].end 223.57409375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 224.01284375
transcript.pyannote[130].end 227.21909375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 227.47221875
transcript.pyannote[131].end 230.03721875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 228.19784375
transcript.pyannote[132].end 229.42971875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 230.03721875
transcript.pyannote[133].end 230.29034375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 230.29034375
transcript.pyannote[134].end 231.03284375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 231.03284375
transcript.pyannote[135].end 233.66534375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 234.47534375
transcript.pyannote[136].end 235.84221875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 236.50034375
transcript.pyannote[137].end 239.50409375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 239.67284375
transcript.pyannote[138].end 243.80721875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 245.30909375
transcript.pyannote[139].end 245.32596875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 245.32596875
transcript.pyannote[140].end 246.35534375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 245.52846875
transcript.pyannote[141].end 246.81096875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 247.51971875
transcript.pyannote[142].end 248.24534375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 248.24534375
transcript.pyannote[143].end 251.46846875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 251.75534375
transcript.pyannote[144].end 253.24034375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 253.69596875
transcript.pyannote[145].end 254.42159375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 254.72534375
transcript.pyannote[146].end 254.77596875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 254.77596875
transcript.pyannote[147].end 254.96159375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 254.96159375
transcript.pyannote[148].end 257.20596875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 257.69534375
transcript.pyannote[149].end 258.52221875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 259.90596875
transcript.pyannote[150].end 260.02409375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 260.29409375
transcript.pyannote[151].end 261.00284375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 261.08721875
transcript.pyannote[152].end 261.77909375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 261.94784375
transcript.pyannote[153].end 262.48784375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 262.67346875
transcript.pyannote[154].end 267.01034375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 267.80346875
transcript.pyannote[155].end 268.96784375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 269.10284375
transcript.pyannote[156].end 274.13159375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 269.98034375
transcript.pyannote[157].end 271.07721875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 272.20784375
transcript.pyannote[158].end 283.58159375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 275.07659375
transcript.pyannote[159].end 275.44784375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 284.32409375
transcript.pyannote[160].end 284.96534375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 284.96534375
transcript.pyannote[161].end 285.74159375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 286.34909375
transcript.pyannote[162].end 290.66909375
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 287.98596875
transcript.pyannote[163].end 288.89721875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 289.21784375
transcript.pyannote[164].end 292.27221875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 291.46221875
transcript.pyannote[165].end 292.13721875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 292.49159375
transcript.pyannote[166].end 297.03096875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 297.48659375
transcript.pyannote[167].end 298.46534375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 299.47784375
transcript.pyannote[168].end 300.87846875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 301.04721875
transcript.pyannote[169].end 301.73909375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 302.75159375
transcript.pyannote[170].end 303.47721875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 303.91596875
transcript.pyannote[171].end 304.08471875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 304.08471875
transcript.pyannote[172].end 304.15221875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 304.38846875
transcript.pyannote[173].end 304.96221875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 304.96221875
transcript.pyannote[174].end 305.06346875
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 305.55284375
transcript.pyannote[175].end 305.58659375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 305.58659375
transcript.pyannote[176].end 307.61159375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 307.99971875
transcript.pyannote[177].end 310.69971875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 310.93596875
transcript.pyannote[178].end 311.45909375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 312.72471875
transcript.pyannote[179].end 312.74159375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 312.74159375
transcript.pyannote[180].end 323.13659375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 318.58034375
transcript.pyannote[181].end 320.47034375
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 321.07784375
transcript.pyannote[182].end 330.17346875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 323.35596875
transcript.pyannote[183].end 325.09409375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 330.17346875
transcript.pyannote[184].end 330.19034375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 330.19034375
transcript.pyannote[185].end 330.20721875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 330.83159375
transcript.pyannote[186].end 330.96659375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 330.96659375
transcript.pyannote[187].end 332.40096875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 333.09284375
transcript.pyannote[188].end 335.91096875
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 336.23159375
transcript.pyannote[189].end 340.02846875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 336.43409375
transcript.pyannote[190].end 337.32846875
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 340.99034375
transcript.pyannote[191].end 345.31034375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 343.03221875
transcript.pyannote[192].end 343.84221875
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 345.95159375
transcript.pyannote[193].end 349.02284375
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 349.02284375
transcript.pyannote[194].end 353.03909375
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 353.07284375
transcript.pyannote[195].end 356.16096875
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 356.22846875
transcript.pyannote[196].end 357.81471875
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 358.97909375
transcript.pyannote[197].end 360.24471875
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 360.86909375
transcript.pyannote[198].end 362.38784375
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 362.47221875
transcript.pyannote[199].end 365.07096875
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 365.57721875
transcript.pyannote[200].end 367.16346875
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 367.83846875
transcript.pyannote[201].end 368.27721875
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 368.15909375
transcript.pyannote[202].end 372.73221875
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 370.94346875
transcript.pyannote[203].end 371.73659375
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 372.96846875
transcript.pyannote[204].end 373.86284375
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 373.00221875
transcript.pyannote[205].end 373.74471875
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 373.96409375
transcript.pyannote[206].end 380.98409375
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 374.60534375
transcript.pyannote[207].end 375.26346875
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 379.33034375
transcript.pyannote[208].end 380.71409375
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 381.38909375
transcript.pyannote[209].end 386.99159375
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 387.24471875
transcript.pyannote[210].end 390.02909375
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 390.02909375
transcript.pyannote[211].end 391.90221875
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 392.17221875
transcript.pyannote[212].end 392.40846875
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 392.84721875
transcript.pyannote[213].end 394.51784375
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 395.00721875
transcript.pyannote[214].end 395.02409375
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 395.02409375
transcript.pyannote[215].end 395.07471875
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 395.07471875
transcript.pyannote[216].end 395.20971875
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 395.20971875
transcript.pyannote[217].end 395.22659375
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 396.66096875
transcript.pyannote[218].end 398.26409375
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 398.88846875
transcript.pyannote[219].end 400.25534375
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 401.67284375
transcript.pyannote[220].end 404.69346875
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 404.98034375
transcript.pyannote[221].end 406.90409375
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 407.24159375
transcript.pyannote[222].end 408.03471875
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 409.03034375
transcript.pyannote[223].end 409.97534375
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 409.97534375
transcript.pyannote[224].end 414.76784375
transcript.pyannote[225].speaker SPEAKER_01
transcript.pyannote[225].start 415.03784375
transcript.pyannote[225].end 423.45846875
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 416.37096875
transcript.pyannote[226].end 416.74221875
transcript.pyannote[227].speaker SPEAKER_00
transcript.pyannote[227].start 422.61471875
transcript.pyannote[227].end 423.59346875
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 423.59346875
transcript.pyannote[228].end 424.03221875
transcript.pyannote[229].speaker SPEAKER_00
transcript.pyannote[229].start 424.03221875
transcript.pyannote[229].end 426.29346875
transcript.pyannote[230].speaker SPEAKER_00
transcript.pyannote[230].start 427.13721875
transcript.pyannote[230].end 428.36909375
transcript.pyannote[231].speaker SPEAKER_00
transcript.pyannote[231].start 428.89221875
transcript.pyannote[231].end 431.86221875
transcript.pyannote[232].speaker SPEAKER_00
transcript.pyannote[232].start 432.53721875
transcript.pyannote[232].end 436.28346875
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 436.28346875
transcript.pyannote[233].end 436.30034375
transcript.pyannote[234].speaker SPEAKER_00
transcript.pyannote[234].start 437.19471875
transcript.pyannote[234].end 437.22846875
transcript.pyannote[235].speaker SPEAKER_01
transcript.pyannote[235].start 437.22846875
transcript.pyannote[235].end 437.98784375
transcript.pyannote[236].speaker SPEAKER_01
transcript.pyannote[236].start 439.08471875
transcript.pyannote[236].end 440.85659375
transcript.pyannote[237].speaker SPEAKER_01
transcript.pyannote[237].start 441.14346875
transcript.pyannote[237].end 441.58221875
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 442.12221875
transcript.pyannote[238].end 446.37471875
transcript.pyannote[239].speaker SPEAKER_01
transcript.pyannote[239].start 446.61096875
transcript.pyannote[239].end 455.03159375
transcript.pyannote[240].speaker SPEAKER_00
transcript.pyannote[240].start 455.03159375
transcript.pyannote[240].end 463.19909375
transcript.pyannote[241].speaker SPEAKER_00
transcript.pyannote[241].start 463.68846875
transcript.pyannote[241].end 464.63346875
transcript.pyannote[242].speaker SPEAKER_00
transcript.pyannote[242].start 465.20721875
transcript.pyannote[242].end 467.99159375
transcript.pyannote[243].speaker SPEAKER_01
transcript.pyannote[243].start 469.25721875
transcript.pyannote[243].end 472.10909375
transcript.pyannote[244].speaker SPEAKER_01
transcript.pyannote[244].start 472.49721875
transcript.pyannote[244].end 475.06221875
transcript.pyannote[245].speaker SPEAKER_00
transcript.pyannote[245].start 472.51409375
transcript.pyannote[245].end 473.27346875
transcript.pyannote[246].speaker SPEAKER_00
transcript.pyannote[246].start 476.12534375
transcript.pyannote[246].end 484.24221875
transcript.pyannote[247].speaker SPEAKER_00
transcript.pyannote[247].start 484.59659375
transcript.pyannote[247].end 485.81159375
transcript.pyannote[248].speaker SPEAKER_00
transcript.pyannote[248].start 486.62159375
transcript.pyannote[248].end 488.41034375
transcript.pyannote[249].speaker SPEAKER_00
transcript.pyannote[249].start 489.05159375
transcript.pyannote[249].end 489.47346875
transcript.pyannote[250].speaker SPEAKER_00
transcript.pyannote[250].start 490.62096875
transcript.pyannote[250].end 493.21971875
transcript.pyannote[251].speaker SPEAKER_00
transcript.pyannote[251].start 493.65846875
transcript.pyannote[251].end 495.43034375
transcript.pyannote[252].speaker SPEAKER_00
transcript.pyannote[252].start 495.83534375
transcript.pyannote[252].end 496.44284375
transcript.pyannote[253].speaker SPEAKER_00
transcript.pyannote[253].start 496.66221875
transcript.pyannote[253].end 497.60721875
transcript.pyannote[254].speaker SPEAKER_00
transcript.pyannote[254].start 498.06284375
transcript.pyannote[254].end 498.80534375
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 500.07096875
transcript.pyannote[255].end 502.87221875
transcript.pyannote[256].speaker SPEAKER_01
transcript.pyannote[256].start 503.64846875
transcript.pyannote[256].end 527.25659375
transcript.pyannote[257].speaker SPEAKER_00
transcript.pyannote[257].start 523.83096875
transcript.pyannote[257].end 525.02909375
transcript.pyannote[258].speaker SPEAKER_00
transcript.pyannote[258].start 525.18096875
transcript.pyannote[258].end 525.95721875
transcript.pyannote[259].speaker SPEAKER_00
transcript.pyannote[259].start 526.69971875
transcript.pyannote[259].end 527.17221875
transcript.pyannote[260].speaker SPEAKER_00
transcript.pyannote[260].start 527.25659375
transcript.pyannote[260].end 527.32409375
transcript.pyannote[261].speaker SPEAKER_01
transcript.pyannote[261].start 527.32409375
transcript.pyannote[261].end 527.50971875
transcript.pyannote[262].speaker SPEAKER_01
transcript.pyannote[262].start 528.65721875
transcript.pyannote[262].end 529.02846875
transcript.pyannote[263].speaker SPEAKER_00
transcript.pyannote[263].start 529.02846875
transcript.pyannote[263].end 529.16346875
transcript.pyannote[264].speaker SPEAKER_01
transcript.pyannote[264].start 529.16346875
transcript.pyannote[264].end 530.17596875
transcript.pyannote[265].speaker SPEAKER_00
transcript.pyannote[265].start 530.53034375
transcript.pyannote[265].end 530.86784375
transcript.pyannote[266].speaker SPEAKER_01
transcript.pyannote[266].start 530.96909375
transcript.pyannote[266].end 531.61034375
transcript.pyannote[267].speaker SPEAKER_01
transcript.pyannote[267].start 531.82971875
transcript.pyannote[267].end 532.16721875
transcript.pyannote[268].speaker SPEAKER_01
transcript.pyannote[268].start 532.43721875
transcript.pyannote[268].end 533.90534375
transcript.pyannote[269].speaker SPEAKER_00
transcript.pyannote[269].start 534.36096875
transcript.pyannote[269].end 536.03159375
transcript.pyannote[270].speaker SPEAKER_01
transcript.pyannote[270].start 535.50846875
transcript.pyannote[270].end 541.53284375
transcript.pyannote[271].speaker SPEAKER_00
transcript.pyannote[271].start 536.87534375
transcript.pyannote[271].end 537.46596875
transcript.pyannote[272].speaker SPEAKER_00
transcript.pyannote[272].start 537.75284375
transcript.pyannote[272].end 538.14096875
transcript.pyannote[273].speaker SPEAKER_00
transcript.pyannote[273].start 538.93409375
transcript.pyannote[273].end 539.49096875
transcript.pyannote[274].speaker SPEAKER_00
transcript.pyannote[274].start 540.11534375
transcript.pyannote[274].end 543.69284375
transcript.pyannote[275].speaker SPEAKER_00
transcript.pyannote[275].start 543.86159375
transcript.pyannote[275].end 546.24096875
transcript.pyannote[276].speaker SPEAKER_00
transcript.pyannote[276].start 546.83159375
transcript.pyannote[276].end 547.45596875
transcript.pyannote[277].speaker SPEAKER_00
transcript.pyannote[277].start 548.19846875
transcript.pyannote[277].end 551.18534375
transcript.pyannote[278].speaker SPEAKER_00
transcript.pyannote[278].start 551.72534375
transcript.pyannote[278].end 552.99096875
transcript.pyannote[279].speaker SPEAKER_00
transcript.pyannote[279].start 553.42971875
transcript.pyannote[279].end 554.49284375
transcript.pyannote[280].speaker SPEAKER_00
transcript.pyannote[280].start 555.03284375
transcript.pyannote[280].end 556.07909375
transcript.pyannote[281].speaker SPEAKER_01
transcript.pyannote[281].start 555.60659375
transcript.pyannote[281].end 556.02846875
transcript.whisperx[0].start 0.65
transcript.whisperx[0].end 3.335
transcript.whisperx[0].text 謝謝主席及各位部長尤其林部長已經在那裡了
transcript.whisperx[1].start 7.591
transcript.whisperx[1].end 33.165
transcript.whisperx[1].text 你是接了新職宣誓就任後第一次來嗎對 第一次來這裡人是不錯的林佳龍就外面黨外或是在野黨的對你不會討厭不會討厭謝謝但我們希望你講真話因為我就知道你希望講真話而且你勇於擔當出事情的交通部長你的
transcript.whisperx[2].start 34.706
transcript.whisperx[2].end 42.55
transcript.whisperx[2].text 賴主,來,我就問你一個,聽說很多的報導啦,說這個位置不是你的首選啦,你點頭嗎?是。
transcript.whisperx[3].start 47.133
transcript.whisperx[3].end 63.999
transcript.whisperx[3].text 不是首選喔我聽得懂你講的不是首選嘛有更適合的人才的話我們當然這個可以嘛不是說話又要倒過來講嘛你比較想那個位置去用講去所以之後無奈端端有就好這樣說對不對不對
transcript.whisperx[4].start 68.16
transcript.whisperx[4].end 94.558
transcript.whisperx[4].text 你這樣說就是這樣啊,不是你首選啊,不是你的首選啊有人要擔比較重的擔子齁,我們應該給他加油對嘛,你這講出來選外之音嘛,你應該想去現在卓榮泰的位置嘛卓榮泰什麼位置,行政院長,對不對,我也覺得你來做比較好勒你的精力比他多很多勒,卓榮泰做院長你不做院長,我替你報不平勒
transcript.whisperx[5].start 96.698
transcript.whisperx[5].end 107.93
transcript.whisperx[5].text 你有沒有感覺我跟你很知音?我講出你心裡的話。其實外交工作很重要啊。沒有啦,我選政院長啦。選政院長更重要啦。總統跟院長認為我來這裡可以為國家貢獻。你覺得你來這裡會委屈?
transcript.whisperx[6].start 118.123
transcript.whisperx[6].end 141.479
transcript.whisperx[6].text 昨天他就做院長,被你的長官搞奇怪,你的經歷,他都沒有首長的經歷,你都有。你做立委,你也做過立委。比一比嘛,我們英文流言你都很清楚,我們叫track record,過去的經歷。你經歷這麼漂亮,做過台中市長、部會首長、做過立委。
transcript.whisperx[7].start 142.932
transcript.whisperx[7].end 159.065
transcript.whisperx[7].text 外交對台灣最重要了,台灣現在是外交最重要。外交很辛苦,來這裡做不成績啦,來這裡做不成績啦。有你的支持,我一定會更有成績。外交什麼成績?你現在能不能講說,第一個以後任內,你當部長任內,絕對不會有一條再斷條,你這樣說。
transcript.whisperx[8].start 166.496
transcript.whisperx[8].end 187.472
transcript.whisperx[8].text 我們全力以赴,顧好邦交,而且要繁榮我們的邦交國啊,讓他跟我們的關係更親密。你再可以拿出來,官位拿出來,有什麼拿出來,我林佳龍,你只要講到這樣,給我五十年間的一三天,給我去屁股,現金還回來了,一年內如果斷交一國,下台,幹,這樣講。
transcript.whisperx[9].start 192.691
transcript.whisperx[9].end 200.078
transcript.whisperx[9].text 我們要先看比較正向來思考我們的外交工作外交部長沒有外交國你什麼叫外交你認同說臺灣如果邦交國變冷也沒關係你認同嗎我是全力以赴一定要不只固邦而且要龍邦什麼叫龍邦
transcript.whisperx[10].start 215.393
transcript.whisperx[10].end 233.386
transcript.whisperx[10].text 就是繁榮我們的,跟我們有交往的國家,特別是我們的邦交國,不是是故郎,不是跟他亂說而已啦,要記得,真的是把他的國家的發展,我們台灣可以幫忙,好好地去做。我前陣子跟你說,我也是台中人,你很像台中市長,所以給你加一分,你知道嗎?結果你這樣,氣泡都沒拿出來,氣泡拿出來,氣泡氣泡,不是農幫,加幫才對啦,我要加一個邦交國,幹嗎?
transcript.whisperx[11].start 245.356
transcript.whisperx[11].end 258.386
transcript.whisperx[11].text 我們一起來努力阿有啦現在很多世界的國家都知道說齁其實像宏都拉斯阿大家都知道阿他現在的白蝦就賣不出去啦
transcript.whisperx[12].start 259.963
transcript.whisperx[12].end 260.543
transcript.whisperx[12].text 林佳龍報告業務概況.
transcript.whisperx[13].start 284.686
transcript.whisperx[13].end 298.391
transcript.whisperx[13].text 請問您我們用做的真的不是用說的啦真的台灣的外交很艱辛喔外交做好才不會被斷交啊對不對老公打壓不是今天打好讓我再問你現在最危險的邦交國現在大家講叫停很危險啦守得住嗎叫停叫停叫停梵蒂岡對梵蒂岡守得住嗎他很危險你說他沒有很危險啊沒有很危險
transcript.whisperx[14].start 313.48
transcript.whisperx[14].end 336.954
transcript.whisperx[14].text 其實中國大陸開始要跟中國大陸建交就是主要因為中國大陸的主教自己派這點解決就解決了最近他們的關係又close了又更揭秘你不會擔心當然我們要密切的關注如果紅綠紅黃綠他應該屬於什麼燈
transcript.whisperx[15].start 341.035
transcript.whisperx[15].end 357.621
transcript.whisperx[15].text 我是認為只要我們努力,大家都會覺得跟臺灣交往,真的是彼此好互惠。我剛才在你耳朵就是希望你講真話,你都不敢講真話,不會這樣喔。來,最後另外一個問你一個很重要的消息,這一定要認真講喔,說實話喔。川普說喔,老共要打台灣,他要轟炸北京,這句話你聽得怎麼樣?你的感覺?
transcript.whisperx[16].start 368.195
transcript.whisperx[16].end 368.435
transcript.whisperx[16].text 他現在跟拜登兩個在飆車打台灣牌飆車
transcript.whisperx[17].start 396.704
transcript.whisperx[17].end 407.405
transcript.whisperx[17].text 拜登說只要打要出兵保衛台灣然後川普覺得這樣不好他要吃馬你打台灣我就轟炸北京嚇嚇叫
transcript.whisperx[18].start 409.059
transcript.whisperx[18].end 412.281
transcript.whisperx[18].text 他們要保衛台灣這裡我們要感謝因為台海的和平與穩定涉及到是全世界的利害關係台灣就被打啦他用這個來刺激台灣說台灣要怎麼打不要忘了戰場在台灣台灣怎麼打都是輸家啦這個你同意嗎
transcript.whisperx[19].start 439.107
transcript.whisperx[19].end 439.968
transcript.whisperx[19].text 你感覺川普講這個話是選舉語言嗎?
transcript.whisperx[20].start 469.378
transcript.whisperx[20].end 489.484
transcript.whisperx[20].text 我覺得也不能這樣子就替他來斷言我們還是要持續關注這個發展拜登說要保衛台灣出兵因為從阿富汗從越南之後他從來沒有在海外出兵烏克蘭都沒有他會出兵台灣嗎這個看起來就是選舉語言嘛對不對那你給我一個答案嘛你是more than happy聽到還是happy聽到還是no comment
transcript.whisperx[21].start 500.1
transcript.whisperx[21].end 526.435
transcript.whisperx[21].text 他們現在就是認為其實比較是像是說因為中共在改變現狀他們希望跟臺灣一樣能夠維護現狀在這一點上面我們是立場一致可是至於說大國之間的不管是這一個涉及到的動不動兵的問題我們尤其在選舉我想臺灣的我們是密切關注但我們也不去介入他們認證的部分但是值得關注喔
transcript.whisperx[22].start 528.68
transcript.whisperx[22].end 528.84
transcript.whisperx[22].text 主席