IVOD_ID |
153926 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/153926 |
日期 |
2024-06-13 |
會議資料.會議代碼 |
委員會-11-1-19-16 |
會議資料.會議代碼:str |
第11屆第1會期經濟委員會第16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 |
16 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
19 |
會議資料.委員會代碼:str[0] |
經濟委員會 |
會議資料.標題 |
第11屆第1會期經濟委員會第16次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-06-13T09:58:58+08:00 |
結束時間 |
2024-06-13T10:09:32+08:00 |
影片長度 |
00:10:34 |
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/cf02c7fc60cc7ba0cd30dd29128a473379c37d5c63265337ae5baf1b56d47734db89229dbbe34e855ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
楊瓊瓔 |
委員發言時間 |
09:58:58 - 10:09:32 |
會議時間 |
2024-06-13T09:00:00+08:00 |
會議名稱 |
立法院第11屆第1會期經濟委員會第16次全體委員會議(事由:審查:
一、本院委員陳素月等17人擬具「植物診療師法草案」案。
二、本院委員邱議瑩等17人擬具「植物診療師法草案」案。
三、本院委員楊瓊瓔等24人擬具「植物診療師法草案」案。
(委員楊瓊瓔等人提案如未接獲議事處來函則不予審查)【6月12日及13日兩天一次會】) |
gazette.lineno |
306 |
gazette.blocks[0][0] |
楊委員瓊瓔:(9時59分)謝謝主席,楊瓊瓔發言,邀請部長。 |
gazette.blocks[1][0] |
主席:請陳部長。 |
gazette.blocks[2][0] |
陳部長駿季:委員早。 |
gazette.blocks[3][0] |
楊委員瓊瓔:部長好。今天排入這一個植物診療師,照剛剛您的說明,這個植物診療師大家有一個共識──是必須要做,但是在整個過程中有所誤解的也要去說明清楚,那行政院版什麼時候會出來呢? |
gazette.blocks[4][0] |
陳部長駿季:行政院的部分我們正在安排進到院會去…… |
gazette.blocks[5][0] |
楊委員瓊瓔:預計什麼時候呢? |
gazette.blocks[6][0] |
陳部長駿季:我們希望越快越好。 |
gazette.blocks[7][0] |
楊委員瓊瓔:既然是一個這麼重大的法,為什麼到現在還沒有出來呢?行政院不重視嗎? |
gazette.blocks[8][0] |
陳部長駿季:這不是行政院不重視,這可能是我們內部的一些作業疏失。 |
gazette.blocks[9][0] |
楊委員瓊瓔:你承認疏失,你為行政院扛起了這個責任,那什麼時候會送出來呢? |
gazette.blocks[10][0] |
陳部長駿季:我們期待在下個禮拜的院會能夠排入。 |
gazette.blocks[11][0] |
楊委員瓊瓔:好,我們希望農業部也要積極,因為委員所提案的大概都是48條的條例,據聞行政院版、農業部所提出的大概是51條,我們為了整個法案的慎重,因為條序方面必須要做調整,所以我們今天先詢答。 |
gazette.blocks[12][0] |
陳部長駿季:我非常謝謝委員。 |
gazette.blocks[13][0] |
楊委員瓊瓔:我們的目的也就是在整個立法過程要非常地完整,但是也請農業部務必要積極。 |
gazette.blocks[14][0] |
陳部長駿季:是。 |
gazette.blocks[15][0] |
楊委員瓊瓔:接下來本席要請教,國土法明年5月要上路,會嗎?我們所有的農民、人民很害怕欸! |
gazette.blocks[16][0] |
陳部長駿季:照現在的期程,應該是明年4月底、5月要上路。 |
gazette.blocks[17][0] |
楊委員瓊瓔:對啊,那現在腳程有沒有調整?因為坊間有說要延一年、延兩年,那到底是怎麼回事呢? |
gazette.blocks[18][0] |
陳部長駿季:整個國土法我們會配合內政部,然後我們也積極下鄉,包括跟縣市政府做溝通、包括跟農民座談。 |
gazette.blocks[19][0] |
楊委員瓊瓔:明年的4月底、5月1號要上路,現在你到地方去聽,老百姓很緊張、不清不楚、不瞭解,站在你農業部的立場,務必要把我們農的權利站好,這非常重要! |
gazette.blocks[20][0] |
陳部長駿季:一定! |
gazette.blocks[21][0] |
楊委員瓊瓔:人民的安全也要站好。 |
gazette.blocks[22][0] |
陳部長駿季:是。 |
gazette.blocks[23][0] |
楊委員瓊瓔:依照目前的條例,人民很恐慌,我不希望政府立一個法是讓人民恐慌,這個務必要聽進去。 |
gazette.blocks[24][0] |
陳部長駿季:會,我們一定馬上啟動更積極的…… |
gazette.blocks[25][0] |
楊委員瓊瓔:接下來本席要請教,在這一個條文當中,因為目前我們要解決專業人力的不足,而且要輔導跟把關,這個工作非常的重要,結果論就是說,要讓我們農產品的品質安全,然後跟世界來接軌,我們的農產品要能夠銷售到世界各地去,所以我也希望你們務必要將這個訊息給社會大眾去瞭解,這樣子我們立法才能夠真正的落實,也才能夠不只有效率,而是要有效能,同不同意這樣的論點? |
gazette.blocks[26][0] |
陳部長駿季:我非常同意委員的論點,其實在過去3年,我們有100位儲備的植物醫師在全國各地,也獲得非常多的好評,所以他們也希望真的有一個植物診療師的…… |
gazette.blocks[27][0] |
楊委員瓊瓔:所以目標也就是希望要建立植物診療體系? |
gazette.blocks[28][0] |
陳部長駿季:是。 |
gazette.blocks[29][0] |
楊委員瓊瓔:照你剛才所說的,預估是要以3,000人為基礎去推廣,是不是? |
gazette.blocks[30][0] |
陳部長駿季:對,為目標。 |
gazette.blocks[31][0] |
楊委員瓊瓔:一定要好好地來把它做好,我們也要保障這一些植物診療人員的就業以及消費者求診的一個品質,這個非常重要。 |
gazette.blocks[31][1] |
接下來本席要跟你討論的是紐西蘭的液態乳在2025年就可以零關稅輸入到臺灣。 |
gazette.blocks[32][0] |
陳部長駿季:是。 |
gazette.blocks[33][0] |
楊委員瓊瓔:哇!我們的酪農很緊張耶!這怎麼辦?這怎麼辦?我們要自立自強,請教我們的鮮乳到底是幾天算鮮乳? |
gazette.blocks[34][0] |
陳部長駿季:應該是14天。 |
gazette.blocks[35][0] |
楊委員瓊瓔:幾天算鮮乳? |
gazette.blocks[36][0] |
陳部長駿季:我們國內的是14天。 |
gazette.blocks[37][0] |
楊委員瓊瓔:國內14天,國外在他國家幾天?國外在他國家幾天? |
gazette.blocks[38][0] |
陳部長駿季:他可能會根據製造的程序不一樣,而有不一樣的天數。 |
gazette.blocks[39][0] |
楊委員瓊瓔:基礎就是以兩個禮拜為基本嘛!鮮乳,對不對? |
gazette.blocks[40][0] |
陳部長駿季:是。 |
gazette.blocks[41][0] |
楊委員瓊瓔:好,所以衛福部的食藥署6月5號來一個預告,幸好是預告,要公告就糟糕了,你有沒有要提出意見?修正鮮乳標示草案,保存期限30天以上的乳品應標示為什麼?延長保存期限鮮乳或者是長效鮮乳,這樣子跟我國國內的鮮乳怎麼區隔?人民會看你那個「躼躼長」的嗎?鮮乳就鮮乳啊!還有一個保存期限30天以上的乳品,要叫延長保存期限鮮乳,還有一個叫長效鮮乳,長效鮮乳是幾天叫長效鮮乳?30天以上,我們在超商,它的那個溫度幾度啊?冰箱開來開去,還有開放式的貨架,開放式的幾度? |
gazette.blocks[42][0] |
陳部長駿季:大概7度到10度。 |
gazette.blocks[43][0] |
楊委員瓊瓔:有辦法鮮乳嗎?有辦法鮮乳嗎? |
gazette.blocks[44][0] |
陳部長駿季:它的風險比較高。 |
gazette.blocks[45][0] |
楊委員瓊瓔:風險高,所以本席非常支持你,你是事務官出身,你願意講真話,風險那麼高,可以讓我們的小孩、可以讓我們的國人高風險來喝這個什麼長效鮮乳嗎?你一方面打擊了我們,二方面讓我們有風險,可以如此做嗎?食藥署到底怎麼回事?你們都沒有溝通嗎? |
gazette.blocks[46][0] |
陳部長駿季:我跟委員說明,我們跟衛福部的溝通是無礙的,但是因為…… |
gazette.blocks[47][0] |
楊委員瓊瓔:保久乳就保久乳,鮮乳就鮮乳,為什麼要讓民眾這麼模糊呢?而且風險高,為什麼?會不會改?食藥署6月5號的這個只有預告啊!預告就是可以改啊!公告錯也可以改,不是只有預告。 |
gazette.blocks[48][0] |
陳部長駿季:我跟委員說明,其實衛福部也聽到了我們農業部的聲音,也聽到了酪農的聲音,也聽到了非常多委員的聲音…… |
gazette.blocks[49][0] |
楊委員瓊瓔:聽到消費者的聲音。 |
gazette.blocks[50][0] |
陳部長駿季:是,所以我想我們會更積極地去溝通,讓它…… |
gazette.blocks[51][0] |
楊委員瓊瓔:有沒有信心?保久乳就保久乳。 |
gazette.blocks[52][0] |
陳部長駿季:我個人是有信心啦! |
gazette.blocks[53][0] |
楊委員瓊瓔:有信心一定要加油,好不好? |
gazette.blocks[54][0] |
陳部長駿季:是。 |
gazette.blocks[55][0] |
楊委員瓊瓔:這個不能讓……學童喝鮮奶是最好的,臺灣牛是最讚的,臺灣的酪農是最棒的啊!你要有長效乳,我們也可以同意,但是你名稱要分隔清楚啊!幹嘛要混淆視聽?本席絕對不同意,因為有高風險,對不對?7度到10度怎麼樣讓鮮乳保存30天以上?太恐怖了,好不好?這個高風險要去除,不能如此。 |
gazette.blocks[55][1] |
最後一個議題講到雞蛋,現在雞蛋太多,這怎麼辦?他們也淘汰了寡產雞,所以我們的雞農很努力,寡產雞他們都淘汰了,那照目前的數量來看,我們投入的生產雞有3,569萬隻,現在每一天生產12萬1,700箱,平均國內人民需要的大概是12萬箱一天,那你多出來那麼多,它最後怎麼辦?賤價,你知道嗎?甚至有把雞蛋載去給豬吃耶!這怎麼回事啊?我們為什麼會導致這樣的現象,請教部長,怎麼辦? |
gazette.blocks[56][0] |
陳部長駿季:其實我們昨天也開了一個會議,第一個部分就是我們看到我們的消費量還是持續的低迷,有一部分是因為銷售端的蛋價問題,我們會積極鼓勵消費端的蛋價下降,讓更多的消費者去使用,這是拉力。然後在生產端的部分,我們大概會有兩個方式,第一個方式是我們會用政策誘因去加速老母雞的淘汰,讓他的蛋雞…… |
gazette.blocks[57][0] |
楊委員瓊瓔:寡產雞嘛!他們都在淘汰啊! |
gazette.blocks[58][0] |
陳部長駿季:對,老母雞,就寡產雞的部分…… |
gazette.blocks[59][0] |
楊委員瓊瓔:可是你目前的政策,我們還是產銷不平衡…… |
gazette.blocks[60][0] |
陳部長駿季:對,我們現在就是…… |
gazette.blocks[61][0] |
楊委員瓊瓔:那這怎麼辦?一天生產2,434萬顆蛋耶! |
gazette.blocks[62][0] |
陳部長駿季:我們現在每個月應該是120萬隻,我們目標是每個月淘汰180萬,所以增添60萬淘汰的話,應該有效的能夠控制這個生產量。 |
gazette.blocks[63][0] |
楊委員瓊瓔:部長,現在我們看到你目前的政策,結果論還是產銷不平衡,蛋價下降,要載去給豬吃。之前我們缺蛋,從巴西、墨西哥進口,臭蛋還要去冰,花了人民將近10億的錢。現在產生這麼多,產銷又不平衡,臨時的政策讓納稅人的錢損失那麼多,所以本席具體要求產銷平衡,你們必須要提出方案出來,好不好? |
gazette.blocks[64][0] |
陳部長駿季:好。 |
gazette.blocks[65][0] |
楊委員瓊瓔:請你研討後將實際的方案書面資料給本席。 |
gazette.blocks[66][0] |
陳部長駿季:我們會把方案再提供給委員。 |
gazette.blocks[67][0] |
楊委員瓊瓔:好不好?不要讓人民這麼痛苦。 |
gazette.blocks[68][0] |
陳部長駿季:瞭解。 |
gazette.blocks[69][0] |
楊委員瓊瓔:連吃一個蛋、喝一個牛奶都會有問題,這太離譜了!好不好? |
gazette.blocks[70][0] |
陳部長駿季:是。 |
gazette.blocks[71][0] |
楊委員瓊瓔:加油! |
gazette.blocks[72][0] |
主席(楊委員瓊瓔):接下來我們請邱議瑩委員,邱召委請發言。 |
gazette.agenda.page_end |
206 |
gazette.agenda.meet_id |
委員會-11-1-19-16 |
gazette.agenda.speakers[0] |
楊瓊瓔 |
gazette.agenda.speakers[1] |
鄭正鈐 |
gazette.agenda.speakers[2] |
張嘉郡 |
gazette.agenda.speakers[3] |
陳亭妃 |
gazette.agenda.speakers[4] |
呂玉玲 |
gazette.agenda.speakers[5] |
邱議瑩 |
gazette.agenda.speakers[6] |
鄭天財Sra Kacaw |
gazette.agenda.speakers[7] |
張啓楷 |
gazette.agenda.speakers[8] |
賴瑞隆 |
gazette.agenda.speakers[9] |
謝衣鳯 |
gazette.agenda.speakers[10] |
羅廷瑋 |
gazette.agenda.speakers[11] |
黃國昌 |
gazette.agenda.speakers[12] |
黃秀芳 |
gazette.agenda.speakers[13] |
陳超明 |
gazette.agenda.speakers[14] |
徐富癸 |
gazette.agenda.speakers[15] |
邱志偉 |
gazette.agenda.speakers[16] |
洪孟楷 |
gazette.agenda.speakers[17] |
林岱樺 |
gazette.agenda.page_start |
153 |
gazette.agenda.meetingDate[0] |
2024-06-13 |
gazette.agenda.gazette_id |
1136201 |
gazette.agenda.agenda_lcidc_ids[0] |
1136201_00004 |
gazette.agenda.meet_name |
立法院第11屆第1會期經濟委員會第16次全體委員會議紀錄 |
gazette.agenda.content |
審查:一、本院委員陳素月等17人擬具「植物診療師法草案」案;二、本院委員邱議瑩等17人擬
具「植物診療師法草案」案;三、本院委員楊瓊瓔等24人擬具「植物診療師法草案」案 |
gazette.agenda.agenda_id |
1136201_00003 |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
0.06471875 |
transcript.pyannote[0].end |
1.56659375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
2.49471875 |
transcript.pyannote[1].end |
4.75596875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
4.99221875 |
transcript.pyannote[2].end |
5.71784375 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
12.02909375 |
transcript.pyannote[3].end |
12.46784375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
12.68721875 |
transcript.pyannote[4].end |
12.99096875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
13.44659375 |
transcript.pyannote[5].end |
20.09534375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
20.58471875 |
transcript.pyannote[6].end |
24.55034375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
23.36909375 |
transcript.pyannote[7].end |
24.12846875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
24.85409375 |
transcript.pyannote[8].end |
37.98284375 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
35.11409375 |
transcript.pyannote[9].end |
35.43471875 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
38.48909375 |
transcript.pyannote[10].end |
45.50909375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
38.59034375 |
transcript.pyannote[11].end |
38.84346875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
44.98596875 |
transcript.pyannote[12].end |
50.43659375 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
46.33596875 |
transcript.pyannote[13].end |
48.36096875 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
50.97659375 |
transcript.pyannote[14].end |
51.55034375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
51.55034375 |
transcript.pyannote[15].end |
53.00159375 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
52.83284375 |
transcript.pyannote[16].end |
57.57471875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
57.22034375 |
transcript.pyannote[17].end |
65.55659375 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
65.65784375 |
transcript.pyannote[18].end |
71.02409375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
71.36159375 |
transcript.pyannote[19].end |
71.68221875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
71.98596875 |
transcript.pyannote[20].end |
82.24596875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
82.53284375 |
transcript.pyannote[21].end |
107.27159375 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
86.16096875 |
transcript.pyannote[22].end |
86.97096875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
87.02159375 |
transcript.pyannote[23].end |
87.39284375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
90.36284375 |
transcript.pyannote[24].end |
90.37971875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
94.42971875 |
transcript.pyannote[25].end |
94.90221875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
96.99471875 |
transcript.pyannote[26].end |
97.88909375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
106.84971875 |
transcript.pyannote[27].end |
107.22096875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
107.62596875 |
transcript.pyannote[28].end |
109.92096875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
110.20784375 |
transcript.pyannote[29].end |
111.13596875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
112.38471875 |
transcript.pyannote[30].end |
114.10596875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
114.71346875 |
transcript.pyannote[31].end |
115.23659375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
116.16471875 |
transcript.pyannote[32].end |
118.67909375 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
116.21534375 |
transcript.pyannote[33].end |
116.92409375 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
118.62846875 |
transcript.pyannote[34].end |
122.23971875 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
122.52659375 |
transcript.pyannote[35].end |
124.90596875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
124.66971875 |
transcript.pyannote[36].end |
125.14221875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
125.47971875 |
transcript.pyannote[37].end |
127.67346875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
128.39909375 |
transcript.pyannote[38].end |
132.60096875 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
133.54596875 |
transcript.pyannote[39].end |
143.02971875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
142.60784375 |
transcript.pyannote[40].end |
147.45096875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
148.05846875 |
transcript.pyannote[41].end |
149.25659375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
149.47596875 |
transcript.pyannote[42].end |
154.23471875 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
151.19721875 |
transcript.pyannote[43].end |
151.88909375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
153.28971875 |
transcript.pyannote[44].end |
153.30659375 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
153.30659375 |
transcript.pyannote[45].end |
153.67784375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
154.70721875 |
transcript.pyannote[46].end |
157.20471875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
157.52534375 |
transcript.pyannote[47].end |
169.27034375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
157.71096875 |
transcript.pyannote[48].end |
157.96409375 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
160.74846875 |
transcript.pyannote[49].end |
160.76534375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
160.76534375 |
transcript.pyannote[50].end |
161.30534375 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
163.58346875 |
transcript.pyannote[51].end |
164.02221875 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
169.01721875 |
transcript.pyannote[52].end |
171.09284375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
171.17721875 |
transcript.pyannote[53].end |
173.05034375 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
171.51471875 |
transcript.pyannote[54].end |
171.90284375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
173.64096875 |
transcript.pyannote[55].end |
176.50971875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
176.66159375 |
transcript.pyannote[56].end |
181.03221875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
181.48784375 |
transcript.pyannote[57].end |
183.83346875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
184.30596875 |
transcript.pyannote[58].end |
185.79096875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
186.39846875 |
transcript.pyannote[59].end |
190.27971875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
190.83659375 |
transcript.pyannote[60].end |
191.56221875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
191.68034375 |
transcript.pyannote[61].end |
198.17721875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
198.19409375 |
transcript.pyannote[62].end |
200.52284375 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
198.46409375 |
transcript.pyannote[63].end |
198.66659375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
200.64096875 |
transcript.pyannote[64].end |
212.68971875 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
212.72346875 |
transcript.pyannote[65].end |
226.40909375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
225.80159375 |
transcript.pyannote[66].end |
238.15409375 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
232.02846875 |
transcript.pyannote[67].end |
233.00721875 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
236.29784375 |
transcript.pyannote[68].end |
238.77846875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
238.59284375 |
transcript.pyannote[69].end |
249.39284375 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
246.84471875 |
transcript.pyannote[70].end |
246.96284375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
249.62909375 |
transcript.pyannote[71].end |
261.69471875 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
250.32096875 |
transcript.pyannote[72].end |
250.62471875 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
258.45471875 |
transcript.pyannote[73].end |
258.47159375 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
261.69471875 |
transcript.pyannote[74].end |
262.06596875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
262.20096875 |
transcript.pyannote[75].end |
264.27659375 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
264.32721875 |
transcript.pyannote[76].end |
265.13721875 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
265.66034375 |
transcript.pyannote[77].end |
267.29721875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
267.82034375 |
transcript.pyannote[78].end |
268.49534375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
269.05221875 |
transcript.pyannote[79].end |
272.07284375 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
273.00096875 |
transcript.pyannote[80].end |
273.86159375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
274.14846875 |
transcript.pyannote[81].end |
275.81909375 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
274.95846875 |
transcript.pyannote[82].end |
275.02596875 |
transcript.pyannote[83].speaker |
SPEAKER_02 |
transcript.pyannote[83].start |
275.49846875 |
transcript.pyannote[83].end |
277.25346875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
277.30409375 |
transcript.pyannote[84].end |
280.13909375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
281.67471875 |
transcript.pyannote[85].end |
283.15971875 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
283.29471875 |
transcript.pyannote[86].end |
287.66534375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
288.01971875 |
transcript.pyannote[87].end |
290.70284375 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
291.25971875 |
transcript.pyannote[88].end |
291.88409375 |
transcript.pyannote[89].speaker |
SPEAKER_02 |
transcript.pyannote[89].start |
291.88409375 |
transcript.pyannote[89].end |
292.03596875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
292.03596875 |
transcript.pyannote[90].end |
292.05284375 |
transcript.pyannote[91].speaker |
SPEAKER_02 |
transcript.pyannote[91].start |
292.05284375 |
transcript.pyannote[91].end |
292.37346875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
292.57596875 |
transcript.pyannote[92].end |
293.74034375 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
293.16659375 |
transcript.pyannote[93].end |
293.33534375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
294.21284375 |
transcript.pyannote[94].end |
294.85409375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
296.81159375 |
transcript.pyannote[95].end |
298.71846875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
299.00534375 |
transcript.pyannote[96].end |
301.13159375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
301.82346875 |
transcript.pyannote[97].end |
304.77659375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
305.21534375 |
transcript.pyannote[98].end |
305.62034375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
306.39659375 |
transcript.pyannote[99].end |
307.59471875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
309.11346875 |
transcript.pyannote[100].end |
320.26784375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
320.60534375 |
transcript.pyannote[101].end |
323.03534375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
324.41909375 |
transcript.pyannote[102].end |
327.03471875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
327.10221875 |
transcript.pyannote[103].end |
328.11471875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
328.80659375 |
transcript.pyannote[104].end |
336.06284375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
336.41721875 |
transcript.pyannote[105].end |
342.50909375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
343.06596875 |
transcript.pyannote[106].end |
345.59721875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
346.37346875 |
transcript.pyannote[107].end |
348.28034375 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
348.85409375 |
transcript.pyannote[108].end |
349.83284375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
350.67659375 |
transcript.pyannote[109].end |
351.77346875 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
352.44846875 |
transcript.pyannote[110].end |
354.35534375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
354.35534375 |
transcript.pyannote[111].end |
354.37221875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
354.37221875 |
transcript.pyannote[112].end |
354.38909375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
355.84034375 |
transcript.pyannote[113].end |
355.85721875 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
355.85721875 |
transcript.pyannote[114].end |
357.08909375 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
357.30846875 |
transcript.pyannote[115].end |
358.03409375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
358.03409375 |
transcript.pyannote[116].end |
358.59096875 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
359.43471875 |
transcript.pyannote[117].end |
359.45159375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
359.45159375 |
transcript.pyannote[118].end |
360.68346875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
361.39221875 |
transcript.pyannote[119].end |
362.15159375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
362.70846875 |
transcript.pyannote[120].end |
363.19784375 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
363.99096875 |
transcript.pyannote[121].end |
365.12159375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
365.12159375 |
transcript.pyannote[122].end |
366.11721875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
367.18034375 |
transcript.pyannote[123].end |
368.12534375 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
368.32784375 |
transcript.pyannote[124].end |
369.37409375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
369.77909375 |
transcript.pyannote[125].end |
370.42034375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
370.74096875 |
transcript.pyannote[126].end |
371.31471875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
371.82096875 |
transcript.pyannote[127].end |
372.78284375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
373.03596875 |
transcript.pyannote[128].end |
374.90909375 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
375.51659375 |
transcript.pyannote[129].end |
377.89596875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
378.35159375 |
transcript.pyannote[130].end |
380.96721875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
380.96721875 |
transcript.pyannote[131].end |
385.45596875 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
386.43471875 |
transcript.pyannote[132].end |
387.14346875 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
388.76346875 |
transcript.pyannote[133].end |
389.03346875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
389.03346875 |
transcript.pyannote[134].end |
390.43409375 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
391.07534375 |
transcript.pyannote[135].end |
393.16784375 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
393.43784375 |
transcript.pyannote[136].end |
394.53471875 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
394.53471875 |
transcript.pyannote[137].end |
394.55159375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
396.12096875 |
transcript.pyannote[138].end |
396.25596875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
396.25596875 |
transcript.pyannote[139].end |
397.45409375 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
398.12909375 |
transcript.pyannote[140].end |
399.29346875 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
399.91784375 |
transcript.pyannote[141].end |
400.12034375 |
transcript.pyannote[142].speaker |
SPEAKER_02 |
transcript.pyannote[142].start |
400.17096875 |
transcript.pyannote[142].end |
401.62221875 |
transcript.pyannote[143].speaker |
SPEAKER_02 |
transcript.pyannote[143].start |
401.77409375 |
transcript.pyannote[143].end |
404.22096875 |
transcript.pyannote[144].speaker |
SPEAKER_02 |
transcript.pyannote[144].start |
404.35596875 |
transcript.pyannote[144].end |
405.13221875 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
404.54159375 |
transcript.pyannote[145].end |
405.14909375 |
transcript.pyannote[146].speaker |
SPEAKER_02 |
transcript.pyannote[146].start |
405.14909375 |
transcript.pyannote[146].end |
405.16596875 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
405.16596875 |
transcript.pyannote[147].end |
405.25034375 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
405.25034375 |
transcript.pyannote[148].end |
406.02659375 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
406.02659375 |
transcript.pyannote[149].end |
407.15721875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
407.89971875 |
transcript.pyannote[150].end |
410.16096875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
411.03846875 |
transcript.pyannote[151].end |
411.91596875 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
412.67534375 |
transcript.pyannote[152].end |
412.97909375 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
413.40096875 |
transcript.pyannote[153].end |
414.51471875 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
413.85659375 |
transcript.pyannote[154].end |
414.00846875 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
415.30784375 |
transcript.pyannote[155].end |
416.74221875 |
transcript.pyannote[156].speaker |
SPEAKER_02 |
transcript.pyannote[156].start |
415.47659375 |
transcript.pyannote[156].end |
416.21909375 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
416.21909375 |
transcript.pyannote[157].end |
416.26971875 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
417.33284375 |
transcript.pyannote[158].end |
418.42971875 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
418.81784375 |
transcript.pyannote[159].end |
420.40409375 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
421.19721875 |
transcript.pyannote[160].end |
423.20534375 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
423.50909375 |
transcript.pyannote[161].end |
428.47034375 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
428.53784375 |
transcript.pyannote[162].end |
430.49534375 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
430.63034375 |
transcript.pyannote[163].end |
432.23346875 |
transcript.pyannote[164].speaker |
SPEAKER_02 |
transcript.pyannote[164].start |
432.26721875 |
transcript.pyannote[164].end |
436.31721875 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
435.97971875 |
transcript.pyannote[165].end |
436.72221875 |
transcript.pyannote[166].speaker |
SPEAKER_02 |
transcript.pyannote[166].start |
437.71784375 |
transcript.pyannote[166].end |
440.38409375 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
437.81909375 |
transcript.pyannote[167].end |
439.05096875 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
440.31659375 |
transcript.pyannote[168].end |
441.00846875 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
441.12659375 |
transcript.pyannote[169].end |
442.54409375 |
transcript.pyannote[170].speaker |
SPEAKER_02 |
transcript.pyannote[170].start |
442.89846875 |
transcript.pyannote[170].end |
443.10096875 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
443.10096875 |
transcript.pyannote[171].end |
444.11346875 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
444.53534375 |
transcript.pyannote[172].end |
447.57284375 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
448.14659375 |
transcript.pyannote[173].end |
451.55534375 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
451.85909375 |
transcript.pyannote[174].end |
458.06909375 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
458.50784375 |
transcript.pyannote[175].end |
459.84096875 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
460.36409375 |
transcript.pyannote[176].end |
461.44409375 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
462.11909375 |
transcript.pyannote[177].end |
463.40159375 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
464.34659375 |
transcript.pyannote[178].end |
464.80221875 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
465.17346875 |
transcript.pyannote[179].end |
467.41784375 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
467.73846875 |
transcript.pyannote[180].end |
469.74659375 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
470.53971875 |
transcript.pyannote[181].end |
470.94471875 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
471.82221875 |
transcript.pyannote[182].end |
472.31159375 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
472.58159375 |
transcript.pyannote[183].end |
472.69971875 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
472.69971875 |
transcript.pyannote[184].end |
474.26909375 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
474.52221875 |
transcript.pyannote[185].end |
475.23096875 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
475.60221875 |
transcript.pyannote[186].end |
476.37846875 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
476.69909375 |
transcript.pyannote[187].end |
477.59346875 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
478.31909375 |
transcript.pyannote[188].end |
479.58471875 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
479.92221875 |
transcript.pyannote[189].end |
480.63096875 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
481.37346875 |
transcript.pyannote[190].end |
482.72346875 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
482.92596875 |
transcript.pyannote[191].end |
483.75284375 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
484.61346875 |
transcript.pyannote[192].end |
487.93784375 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
488.24159375 |
transcript.pyannote[193].end |
490.89096875 |
transcript.pyannote[194].speaker |
SPEAKER_00 |
transcript.pyannote[194].start |
492.20721875 |
transcript.pyannote[194].end |
496.25721875 |
transcript.pyannote[195].speaker |
SPEAKER_00 |
transcript.pyannote[195].start |
496.78034375 |
transcript.pyannote[195].end |
500.93159375 |
transcript.pyannote[196].speaker |
SPEAKER_00 |
transcript.pyannote[196].start |
501.28596875 |
transcript.pyannote[196].end |
502.68659375 |
transcript.pyannote[197].speaker |
SPEAKER_00 |
transcript.pyannote[197].start |
502.97346875 |
transcript.pyannote[197].end |
505.99409375 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
505.99409375 |
transcript.pyannote[198].end |
506.43284375 |
transcript.pyannote[199].speaker |
SPEAKER_00 |
transcript.pyannote[199].start |
506.28096875 |
transcript.pyannote[199].end |
508.74471875 |
transcript.pyannote[200].speaker |
SPEAKER_00 |
transcript.pyannote[200].start |
508.93034375 |
transcript.pyannote[200].end |
509.48721875 |
transcript.pyannote[201].speaker |
SPEAKER_00 |
transcript.pyannote[201].start |
510.11159375 |
transcript.pyannote[201].end |
511.86659375 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
512.17034375 |
transcript.pyannote[202].end |
513.87471875 |
transcript.pyannote[203].speaker |
SPEAKER_00 |
transcript.pyannote[203].start |
515.20784375 |
transcript.pyannote[203].end |
516.15284375 |
transcript.pyannote[204].speaker |
SPEAKER_00 |
transcript.pyannote[204].start |
516.54096875 |
transcript.pyannote[204].end |
519.17346875 |
transcript.pyannote[205].speaker |
SPEAKER_00 |
transcript.pyannote[205].start |
519.37596875 |
transcript.pyannote[205].end |
520.20284375 |
transcript.pyannote[206].speaker |
SPEAKER_02 |
transcript.pyannote[206].start |
520.20284375 |
transcript.pyannote[206].end |
527.57721875 |
transcript.pyannote[207].speaker |
SPEAKER_02 |
transcript.pyannote[207].start |
528.06659375 |
transcript.pyannote[207].end |
552.36659375 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
551.03346875 |
transcript.pyannote[208].end |
553.75034375 |
transcript.pyannote[209].speaker |
SPEAKER_02 |
transcript.pyannote[209].start |
552.72096875 |
transcript.pyannote[209].end |
555.52221875 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
554.93159375 |
transcript.pyannote[210].end |
563.74034375 |
transcript.pyannote[211].speaker |
SPEAKER_02 |
transcript.pyannote[211].start |
558.74534375 |
transcript.pyannote[211].end |
559.31909375 |
transcript.pyannote[212].speaker |
SPEAKER_02 |
transcript.pyannote[212].start |
563.84159375 |
transcript.pyannote[212].end |
566.42346875 |
transcript.pyannote[213].speaker |
SPEAKER_02 |
transcript.pyannote[213].start |
567.18284375 |
transcript.pyannote[213].end |
568.21221875 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
567.99284375 |
transcript.pyannote[214].end |
568.17846875 |
transcript.pyannote[215].speaker |
SPEAKER_00 |
transcript.pyannote[215].start |
568.21221875 |
transcript.pyannote[215].end |
568.48221875 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
568.83659375 |
transcript.pyannote[216].end |
568.92096875 |
transcript.pyannote[217].speaker |
SPEAKER_02 |
transcript.pyannote[217].start |
568.92096875 |
transcript.pyannote[217].end |
569.20784375 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
569.93346875 |
transcript.pyannote[218].end |
569.96721875 |
transcript.pyannote[219].speaker |
SPEAKER_02 |
transcript.pyannote[219].start |
569.96721875 |
transcript.pyannote[219].end |
570.55784375 |
transcript.pyannote[220].speaker |
SPEAKER_02 |
transcript.pyannote[220].start |
570.64221875 |
transcript.pyannote[220].end |
571.65471875 |
transcript.pyannote[221].speaker |
SPEAKER_02 |
transcript.pyannote[221].start |
571.85721875 |
transcript.pyannote[221].end |
580.93596875 |
transcript.pyannote[222].speaker |
SPEAKER_00 |
transcript.pyannote[222].start |
580.46346875 |
transcript.pyannote[222].end |
585.55971875 |
transcript.pyannote[223].speaker |
SPEAKER_00 |
transcript.pyannote[223].start |
586.28534375 |
transcript.pyannote[223].end |
586.92659375 |
transcript.pyannote[224].speaker |
SPEAKER_00 |
transcript.pyannote[224].start |
587.50034375 |
transcript.pyannote[224].end |
588.07409375 |
transcript.pyannote[225].speaker |
SPEAKER_00 |
transcript.pyannote[225].start |
588.69846875 |
transcript.pyannote[225].end |
590.50409375 |
transcript.pyannote[226].speaker |
SPEAKER_00 |
transcript.pyannote[226].start |
590.99346875 |
transcript.pyannote[226].end |
595.61721875 |
transcript.pyannote[227].speaker |
SPEAKER_00 |
transcript.pyannote[227].start |
596.32596875 |
transcript.pyannote[227].end |
597.94596875 |
transcript.pyannote[228].speaker |
SPEAKER_00 |
transcript.pyannote[228].start |
597.97971875 |
transcript.pyannote[228].end |
600.19034375 |
transcript.pyannote[229].speaker |
SPEAKER_00 |
transcript.pyannote[229].start |
600.47721875 |
transcript.pyannote[229].end |
604.05471875 |
transcript.pyannote[230].speaker |
SPEAKER_00 |
transcript.pyannote[230].start |
604.45971875 |
transcript.pyannote[230].end |
605.69159375 |
transcript.pyannote[231].speaker |
SPEAKER_00 |
transcript.pyannote[231].start |
606.09659375 |
transcript.pyannote[231].end |
606.60284375 |
transcript.pyannote[232].speaker |
SPEAKER_00 |
transcript.pyannote[232].start |
606.85596875 |
transcript.pyannote[232].end |
609.72471875 |
transcript.pyannote[233].speaker |
SPEAKER_00 |
transcript.pyannote[233].start |
609.94409375 |
transcript.pyannote[233].end |
611.49659375 |
transcript.pyannote[234].speaker |
SPEAKER_00 |
transcript.pyannote[234].start |
611.59784375 |
transcript.pyannote[234].end |
615.39471875 |
transcript.pyannote[235].speaker |
SPEAKER_00 |
transcript.pyannote[235].start |
615.69846875 |
transcript.pyannote[235].end |
617.94284375 |
transcript.pyannote[236].speaker |
SPEAKER_02 |
transcript.pyannote[236].start |
616.15409375 |
transcript.pyannote[236].end |
616.27221875 |
transcript.pyannote[237].speaker |
SPEAKER_02 |
transcript.pyannote[237].start |
616.50846875 |
transcript.pyannote[237].end |
616.52534375 |
transcript.pyannote[238].speaker |
SPEAKER_00 |
transcript.pyannote[238].start |
618.29721875 |
transcript.pyannote[238].end |
619.61346875 |
transcript.pyannote[239].speaker |
SPEAKER_00 |
transcript.pyannote[239].start |
620.11971875 |
transcript.pyannote[239].end |
624.69284375 |
transcript.pyannote[240].speaker |
SPEAKER_02 |
transcript.pyannote[240].start |
620.15346875 |
transcript.pyannote[240].end |
623.27534375 |
transcript.pyannote[241].speaker |
SPEAKER_02 |
transcript.pyannote[241].start |
624.76034375 |
transcript.pyannote[241].end |
625.18221875 |
transcript.pyannote[242].speaker |
SPEAKER_00 |
transcript.pyannote[242].start |
625.06409375 |
transcript.pyannote[242].end |
628.94534375 |
transcript.pyannote[243].speaker |
SPEAKER_00 |
transcript.pyannote[243].start |
629.24909375 |
transcript.pyannote[243].end |
629.67096875 |
transcript.pyannote[244].speaker |
SPEAKER_02 |
transcript.pyannote[244].start |
629.80596875 |
transcript.pyannote[244].end |
630.02534375 |
transcript.pyannote[245].speaker |
SPEAKER_00 |
transcript.pyannote[245].start |
630.02534375 |
transcript.pyannote[245].end |
630.48096875 |
transcript.whisperx[0].start |
0.77 |
transcript.whisperx[0].end |
4.474 |
transcript.whisperx[0].text |
請楊瓊瓔召委咨詢。阿謝主席,楊瓊瓔發言,邀請部長。請陳部長。 |
transcript.whisperx[1].start |
12.062 |
transcript.whisperx[1].end |
37.816 |
transcript.whisperx[1].text |
委員長大家好我們今天排入的這個植物診療師那照剛剛治療師照剛剛您的說明那這個植物診療師呢大家有一個共識那是必須要做但是呢在整個過程有所誤解的也要去說明清楚那行政院版什麼時候會出來呢 |
transcript.whisperx[2].start |
38.727 |
transcript.whisperx[2].end |
65.157 |
transcript.whisperx[2].text |
我想行政院的部分我們正在安排就是進到院會去...去...進到院會去...預計什麼時候呢?既然是一個這麼重大的法為什麼到現在還沒有出來呢?我想...行政院不重視嗎?我想這不是行政院不重視這可能是我們內部的一些作業的一個疏失那請問你承認疏失你為行政院扛起了這個責任那什麼時候會送出來呢? |
transcript.whisperx[3].start |
66.297 |
transcript.whisperx[3].end |
77.925 |
transcript.whisperx[3].text |
我們期待是能夠在下個禮拜的院會喔能夠能夠排入好我們也希望農業部你也積極因為委員所提案大概都是48條的條例那據聞 |
transcript.whisperx[4].start |
82.648 |
transcript.whisperx[4].end |
111.021 |
transcript.whisperx[4].text |
您行政院版農業部所提出的大概是51條。我們為了整個法案的慎重。因為條序方面必須要去做調整。所以我們今天先巡打。我們要目的也就是在整個立法的過程要非常的完整。但是也要請農業部你務必要積極。接下來本席要請教的國土法。 |
transcript.whisperx[5].start |
112.398 |
transcript.whisperx[5].end |
132.875 |
transcript.whisperx[5].text |
|
transcript.whisperx[6].start |
133.598 |
transcript.whisperx[6].end |
153.092 |
transcript.whisperx[6].text |
我講整個國土法我們會配合內政部跟然後我們也積極的下鄉去跟包括跟縣市政府去做溝通包括跟農民去做明年的四月底五月壓商路到現在你到鄉你到地方去聽老百姓很緊張不清不楚不了解站在你農業部的立場務必 |
transcript.whisperx[7].start |
154.633 |
transcript.whisperx[7].end |
173.592 |
transcript.whisperx[7].text |
|
transcript.whisperx[8].start |
173.592 |
transcript.whisperx[8].end |
190.725 |
transcript.whisperx[8].text |
|
transcript.whisperx[9].start |
190.862 |
transcript.whisperx[9].end |
212.739 |
transcript.whisperx[9].text |
️ ️ |
transcript.whisperx[10].start |
212.999 |
transcript.whisperx[10].end |
235.648 |
transcript.whisperx[10].text |
我想非常同意委員的論點就是其實在過去三年我們有100位的儲備的植物醫師在全國各地那也獲得了非常多的好評所以他們也希望說真的有一個植物診療師的意思所以這個目標也就是希望要建立植物診療體系那照您剛剛所說的預估是要以3000人為基礎 |
transcript.whisperx[11].start |
238.029 |
transcript.whisperx[11].end |
260.883 |
transcript.whisperx[11].text |
對,為目標,對。一定要好好的來把它做好,我們也要保障這一些植物診療人員他的就業以及消費者求診的一個品質,因為這個是非常重要。接下來本期要跟你討論的,也就是紐西蘭的義太魯在2025年就可以零關稅輸入到臺灣。哇,我們的怒羅很緊張耶,這怎麼辦? |
transcript.whisperx[12].start |
266.186 |
transcript.whisperx[12].end |
278.971 |
transcript.whisperx[12].text |
我們要自立自強請教我們的鮮乳到底是幾天算鮮乳啊?應該是四天幾天算鮮乳?我們國內的是14天國內14天嗎?國外在他國家幾天?國外在他國家幾天?他可能會根據他的製造的程序不一樣而有不一樣的天數基礎就是以兩個禮拜為基本嘛鮮乳嘛對不對?好所以 |
transcript.whisperx[13].start |
297.197 |
transcript.whisperx[13].end |
322.847 |
transcript.whisperx[13].text |
衛福部的食藥署6月5號來一個預告!預告喔!現在是預告!要公告就糟糕了!預告!你們要推出意見!修正先乳標示草案保存期限30天以上的乳品應標示為延長叫什麼?延長保存期限先乳!或者是長效先乳! |
transcript.whisperx[14].start |
324.849 |
transcript.whisperx[14].end |
327.414 |
transcript.whisperx[14].text |
這樣子跟我國國內的鮮乳怎麼區隔? |
transcript.whisperx[15].start |
328.891 |
transcript.whisperx[15].end |
345.086 |
transcript.whisperx[15].text |
人民看了會看你那個落落等的嗎?先擬就先擬啊。還有一個保存期限30天以上的這個擬品要叫什麼?延長保存期限先擬。還有一個叫什麼?長效先擬。長效先擬是幾天叫長效先擬?30天以上。我們在超商它的那個溫度幾度啊? |
transcript.whisperx[16].start |
355.885 |
transcript.whisperx[16].end |
359.811 |
transcript.whisperx[16].text |
並將開來開去,還有開放式的開架,開放式的幾度?大概7度到10度吧。5號的選民嗎? |
transcript.whisperx[17].start |
367.21 |
transcript.whisperx[17].end |
394.804 |
transcript.whisperx[17].text |
️ ️ ️ ️ |
transcript.whisperx[18].start |
396.312 |
transcript.whisperx[18].end |
409.795 |
transcript.whisperx[18].text |
10月20日到底怎麼回事?你們都沒有溝通嗎?我跟委員說明,我們跟文部的溝通是無外的。保久爐就保久爐,先爐就先爐。為什麼要讓民眾這麼模糊呢?而且風險高。為什麼?會不會改?10月20日6月5日這個只有預告啊。預告就是可以改啊。 |
transcript.whisperx[19].start |
421.425 |
transcript.whisperx[19].end |
436.937 |
transcript.whisperx[19].text |
️ ️ |
transcript.whisperx[20].start |
438.199 |
transcript.whisperx[20].end |
459.015 |
transcript.whisperx[20].text |
我個人是有信心啦有信心一定要加油好不好這個不能讓學童科先來這個是最好的當無雄戰略啊他們的弱農最棒的啊那你要有長效乳我們也給予同意但是你名稱要分隔清楚啊幹嘛要混淆視聽北京絕對不同意因為有高風險 |
transcript.whisperx[21].start |
465.46 |
transcript.whisperx[21].end |
477.524 |
transcript.whisperx[21].text |
厲?7度到10度怎麼樣會有鮮乳這樣子保存30天以上太恐怖了好不好把這個高風險要去除不能如此最後一個議題講到這個雞蛋現在雞蛋太多這怎麼辦他們也淘汰了寡產雞所以我們的雞農很努力耶寡產雞他們都在淘汰那在目前的這個數量來看 |
transcript.whisperx[22].start |
492.247 |
transcript.whisperx[22].end |
510.165 |
transcript.whisperx[22].text |
我們投入的生產機有3,569萬隻現在每一天生產121,700箱平均國內人民需要的大概是12萬箱一天那你多出來那麼多他之後怎麼辦? |
transcript.whisperx[23].start |
510.165 |
transcript.whisperx[23].end |
512.828 |
transcript.whisperx[23].text |
賤價你知道嗎?甚至有把雞蛋就再去給豬吃欸 |
transcript.whisperx[24].start |
515.213 |
transcript.whisperx[24].end |
538.183 |
transcript.whisperx[24].text |
️ ️ |
transcript.whisperx[25].start |
538.183 |
transcript.whisperx[25].end |
566.988 |
transcript.whisperx[25].text |
|
transcript.whisperx[26].start |
567.388 |
transcript.whisperx[26].end |
577.139 |
transcript.whisperx[26].text |
市長,現在我們看到的你目前的政策結果論還是產銷不平衡,單價下降。市長,現在我們看到的你目前的政策結果論還是產銷不平衡,單價下降。市長,現在我們看到的你目前的政策結果論還是產銷不平衡,單價下降。 |
transcript.whisperx[27].start |
588.899 |
transcript.whisperx[27].end |
606.084 |
transcript.whisperx[27].text |
|
transcript.whisperx[28].start |
606.204 |
transcript.whisperx[28].end |
610.448 |
transcript.whisperx[28].text |
bicy 請你研討實際的這個方案順便介紹給本席好不好 不要讓人民這麼痛苦連吃一個蛋喝一個牛奶都會有問題這太離譜了好不好加油 |